From 3ea729badb97c7e3e74c97f2e02e2ef23de533f8 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Sat, 21 Jan 2023 09:06:35 -0500 Subject: [PATCH] update dependencies --- dist/face-api.esm-nobundle.js | 2 +- dist/face-api.esm.js | 18 ++++++------ dist/face-api.esm.js.map | 8 +++--- dist/face-api.js | 18 ++++++------ dist/face-api.node-gpu.js | 2 +- dist/face-api.node-wasm.js | 2 +- dist/face-api.node.js | 2 +- dist/tfjs.esm.js | 14 ++++----- package.json | 20 ++++++------- typedoc/assets/main.js | 54 +++++++++++++++++++++++++++++++++++ typedoc/assets/search.js | 2 +- typedoc/types/FileSystem.html | 4 +-- typedoc/variables/env.html | 36 +++++++++++------------ 13 files changed, 118 insertions(+), 64 deletions(-) diff --git a/dist/face-api.esm-nobundle.js b/dist/face-api.esm-nobundle.js index 02a7587..c75e408 100644 --- a/dist/face-api.esm-nobundle.js +++ b/dist/face-api.esm-nobundle.js @@ -4,4 +4,4 @@ author: ' */ -var lr=Object.defineProperty;var bo=Object.getOwnPropertyDescriptor;var go=Object.getOwnPropertyNames;var xo=Object.prototype.hasOwnProperty;var vo=(o=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(o,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):o)(function(o){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+o+'" is not supported')});var Ve=(o,t)=>{for(var e in t)lr(o,e,{get:t[e],enumerable:!0})},fr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let a of go(t))!xo.call(o,a)&&a!==e&&lr(o,a,{get:()=>t[a],enumerable:!(r=bo(t,a))||r.enumerable});return o},P=(o,t,e)=>(fr(o,t,"default"),e&&fr(e,t,"default"));var n={};Ve(n,{version:()=>Po});P(n,mn);P(n,pn);P(n,un);import*as mn from"@tensorflow/tfjs/dist/index.js";import*as pn from"@tensorflow/tfjs-backend-webgl/dist/index.js";import*as un from"@tensorflow/tfjs-backend-wasm/dist/index.js";var dr="4.2.0",yo="4.2.0",_o="4.2.0",To="4.2.0",wo="4.2.0",Po={tfjs:dr,"tfjs-core":dr,"tfjs-converter":yo,"tfjs-backend-cpu":_o,"tfjs-backend-webgl":To,"tfjs-backend-wasm":wo};var Wr={};Ve(Wr,{AnchorPosition:()=>Ke,DrawBox:()=>ee,DrawBoxOptions:()=>de,DrawFaceLandmarks:()=>De,DrawFaceLandmarksOptions:()=>Fe,DrawTextField:()=>et,DrawTextFieldOptions:()=>kt,drawContour:()=>Z,drawDetections:()=>No,drawFaceExpressions:()=>So,drawFaceLandmarks:()=>Ao});function Z(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:a},s)=>{let i=t[s];o.moveTo(i.x,i.y),o.lineTo(r,a)}),e){let r=t[t.length-1],a=t[0];if(!r||!a)return;o.moveTo(r.x,r.y),o.lineTo(a.x,a.y)}o.stroke()}var hr={};Ve(hr,{computeReshapedDimensions:()=>je,getCenterPoint:()=>yt,isDimensions:()=>ue,isEven:()=>pe,isFloat:()=>Ge,isTensor:()=>xt,isTensor1D:()=>Fo,isTensor2D:()=>Ye,isTensor3D:()=>K,isTensor4D:()=>R,isValidNumber:()=>G,isValidProbablitiy:()=>It,range:()=>U,round:()=>vt});var S=class{constructor(t,e){if(!G(t)||!G(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new S(1/this.width,1/this.height)}};function xt(o,t){return o instanceof n.Tensor&&o.shape.length===t}function Fo(o){return xt(o,1)}function Ye(o){return xt(o,2)}function K(o){return xt(o,3)}function R(o){return xt(o,4)}function Ge(o){return o%1!==0}function pe(o){return o%2===0}function vt(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ue(o){return o&&o.width&&o.height}function je({width:o,height:t},e){let r=e/Math.max(t,o);return new S(Math.round(o*r),Math.round(t*r))}function yt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function U(o,t,e){return Array(o).fill(0).map((r,a)=>t+a*e)}function G(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function It(o){return G(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(G)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},a=[r.left,r.top,r.right,r.bottom].every(G),s=[r.x,r.y,r.width,r.height].every(G);if(!s&&!a)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[i,c,m,p]=s?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:i,y:c,width:m,height:p},"Box.constructor",e),this._x=i,this._y=c,this._width=m,this._height=p}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new F({x:t,y:e,width:r,height:a})}floor(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new F({x:t,y:e,width:r,height:a})}toSquare(){let{x:t,y:e,width:r,height:a}=this,s=Math.abs(r-a);return re&&(c=-f+e+r,f=e),l>t&&(m=-l+t+a,l=t),p<1&&(m=2-p,p=1),u<1&&(m=2-u,u=1),{dy:i,edy:m,dx:s,edx:c,y:u,ey:l,x:p,ex:f,w:r,h:a}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Nt=class extends F{constructor(t,e,r,a,s=!1){super({left:t,top:e,right:r,bottom:a},s)}};var ct=class{constructor(t,e,r,a,s){this._imageDims=new S(s.width,s.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(a).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new ct(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var E=class extends ct{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:a,imageDims:s}=super.forSize(t,e);return new E(r,a,s)}};function br(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),a=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),s=r*a;return e?s/(o.area+t.area-s):s/Math.min(o.area,t.area)}function gr(o){let t=o.map(c=>c.x),e=o.map(c=>c.y),r=t.reduce((c,m)=>mmcc({score:i,boxIndex:c})).sort((i,c)=>i.score-c.score).map(i=>i.boxIndex),s=[];for(;a.length>0;){let i=a.pop();s.push(i);let c=a,m=[];for(let p=0;pm[u]<=e)}return s}function X(o,t){return n.tidy(()=>{let[e,r,a]=t,s=n.fill([...o.shape.slice(0,3),1],e,"float32"),i=n.fill([...o.shape.slice(0,3),1],r,"float32"),c=n.fill([...o.shape.slice(0,3),1],a,"float32"),m=n.concat([s,i,c],3);return n.sub(o,m)})}function vr(o,t=!1){return n.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let a=Math.abs(e-r),s=Math.round(a*(t?.5:1)),i=e>r?2:1,c=l=>{let d=o.shape.slice();return d[i]=l,n.fill(d,0,"float32")},m=c(s),p=a-m.shape[i],f=[t&&p?c(p):null,o,m].filter(l=>!!l).map(l=>n.cast(l,"float32"));return n.concat(f,i)})}function Rn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),a=t[e];t[e]=t[r],t[r]=a}return t}function fe(o){return 1/(1+Math.exp(-o))}function On(o){return Math.log(o/(1-o))}var St=class extends F{constructor(t,e,r,a,s=!1){super({x:t,y:e,width:r,height:a},s)}};var Do=.5,Eo=.43,Mo=.45,$=class{constructor(t,e,r=new g(0,0)){let{width:a,height:s}=e;this._imgDims=new S(a,s),this._shift=r,this._positions=t.map(i=>i.mul(new g(a,s)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let s=t instanceof E?t.box.floor():new F(t);return this.shiftBy(s.x,s.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:a}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(a)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,a]=t,s=f=>a.sub(f).magnitude(),i=(s(e)+s(r))/2,c=Math.floor(i/Mo),m=yt(t),p=Math.floor(Math.max(0,m.x-Do*c)),u=Math.floor(Math.max(0,m.y-Eo*c));return new St(p,u,Math.min(c,this.imageWidth+p),Math.min(c,this.imageHeight+u))}alignMinBbox(t){let e=gr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var yr=class extends ${getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],yt([t[3],t[4]])]}};var Lt=class extends ${getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(yt)}};var Kt=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${vt(this.distance)})`:""}`}};var Qt=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!G(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var Q=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new Q(t.label,e)}};var _r=class extends Qt{constructor(e,r,a,s){super(e,r);this._score=a,this._classScore=s}static assertIsValidPredictedBox(e,r){if(Qt.assertIsValidLabeledBox(e,r),!It(e.score)||!It(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function tt(o){return o.detection instanceof E}function At(o,t){return{...o,...{detection:t}}}function Ue(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function te(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function le(o){let t="";if(!o&&te())try{o=vo("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((a,s)=>{o.readFile(r,(i,c)=>i?s(i):a(c))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xe(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},a=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,c=le();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:a,createVideoElement:s,fetch:i,...c}}function Je(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var C;function Co(){if(!C)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return C}function qe(o){C=o}function Ze(){return Je()?qe(Ue()):te()?qe(Xe()):null}function Io(o){if(C||Ze(),!C)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=C.Canvas,Image:e=C.Image}=o;C.Canvas=t,C.Image=e,C.createCanvasElement=o.createCanvasElement||(()=>new t),C.createImageElement=o.createImageElement||(()=>new e),C.ImageData=o.ImageData||C.ImageData,C.Video=o.Video||C.Video,C.fetch=o.fetch||C.fetch,C.readFile=o.readFile||C.readFile}var _={getEnv:Co,setEnv:qe,initialize:Ze,createBrowserEnv:Ue,createFileSystem:le,createNodejsEnv:Xe,monkeyPatch:Io,isBrowser:Je,isNodejs:te};Ze();function Wt(o){return!_.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function k(o){let{Canvas:t,CanvasRenderingContext2D:e}=_.getEnv();if(o instanceof e)return o;let r=Wt(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let a=r.getContext("2d");if(!a)throw new Error("resolveContext2d - canvas 2d context is null");return a}var Ke=(a=>(a.TOP_LEFT="TOP_LEFT",a.TOP_RIGHT="TOP_RIGHT",a.BOTTOM_LEFT="BOTTOM_LEFT",a.BOTTOM_RIGHT="BOTTOM_RIGHT",a))(Ke||{}),kt=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:a,fontSize:s,fontStyle:i,padding:c}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=a||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=c||4}},et=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof et?t.text:t,this.anchor=e,this.options=new kt(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,a)=>r{let b=m+f.x,x=m+f.y+(d+1)*i;r.fillText(l,b,x)})}};var de=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:a,drawLabelOptions:s}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=a;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new kt({...i,...s})}},ee=class{constructor(t,e={}){this.box=new F(t),this.options=new de(e)}draw(t){let e=k(t),{boxColor:r,lineWidth:a}=this.options,{x:s,y:i,width:c,height:m}=this.box;e.strokeStyle=r,e.lineWidth=a,e.strokeRect(s,i,c,m);let{label:p}=this.options;p&&new et([p],{x:s-a/2,y:i},this.options.drawLabelOptions).draw(t)}};function No(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof E?r.score:tt(r)?r.detection.score:void 0,s=r instanceof E?r.box:tt(r)?r.detection.box:new F(r),i=a?`${vt(a)}`:void 0;new ee(s,{label:i}).draw(o)})}function he(o){let{Image:t,Video:e}=_.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Tr(o){return new Promise((t,e)=>{(o instanceof _.getEnv().Canvas||he(o))&&t(null);function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),e(s))}function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),t(s))}o.addEventListener("load",a),o.addEventListener("error",r)})}function wr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let a=_.getEnv().createImageElement();a.onload=()=>t(a),a.onerror=e,a.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Bt(o){let{Image:t,Video:e}=_.getEnv();return o instanceof t?new S(o.naturalWidth,o.naturalHeight):o instanceof e?new S(o.videoWidth,o.videoHeight):new S(o.width,o.height)}function Rt({width:o,height:t}){let{createCanvasElement:e}=_.getEnv(),r=e();return r.width=o,r.height=t,r}function be(o,t){let{ImageData:e}=_.getEnv();if(!(o instanceof e)&&!he(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:a}=t||Bt(o),s=Rt({width:r,height:a});return o instanceof e?k(s).putImageData(o,0,0):k(s).drawImage(o,0,0,r,a),s}async function Pr(o,t){let e=t||_.getEnv().createCanvasElement(),[r,a,s]=o.shape.slice(R(o)?1:0),i=n.tidy(()=>o.as3D(r,a,s).toInt());return await n.browser.toPixels(i,e),i.dispose(),e}function Qe(o){let{Image:t,Canvas:e,Video:r}=_.getEnv();return o instanceof t||o instanceof e||o instanceof r}function Fr(o,t,e=!1){let{Image:r,Canvas:a}=_.getEnv();if(!(o instanceof r||o instanceof a))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Rt({width:1,height:1});let s=Bt(o),i=t/Math.max(s.height,s.width),c=i*s.width,m=i*s.height,p=Rt({width:t,height:t}),u=o instanceof a?o:be(o),f=Math.abs(c-m)/2,l=e&&c0&&u.height>0&&k(p).drawImage(u,l,d,c,m),p}var rt=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,a)=>{if(K(r)){this._imageTensors[a]=r,this._inputDimensions[a]=r.shape;return}if(R(r)){let i=r.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[a]=r,this._inputDimensions[a]=r.shape.slice(1);return}let s=r instanceof _.getEnv().Canvas?r:be(r);this._canvases[a]=s,this._inputDimensions[a]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return U(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return je({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,n.tidy(()=>{let r=U(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof n.Tensor){let c=R(i)?i:n.expandDims(i);return c=vr(c,e),(c.shape[1]!==t||c.shape[2]!==t)&&(c=n.image.resizeBilinear(c,[t,t],!1,!1)),c.as3D(t,t,3)}if(i instanceof _.getEnv().Canvas)return n.browser.fromPixels(Fr(i,t,e));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return n.stack(r.map(s=>n.cast(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function M(o){if(o instanceof rt)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=a=>Array.isArray(o)?` at input index ${a}:`:"",r=t.map(Wt);return r.forEach((a,s)=>{if(!Qe(a)&&!K(a)&&!R(a))throw typeof t[s]=="string"?new Error(`toNetInput -${e(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${e(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(R(a)){let i=a.shape[0];if(i!==1)throw new Error(`toNetInput -${e(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(r.map(a=>Qe(a)&&Tr(a))),new rt(r,Array.isArray(o))}async function re(o,t){let{Canvas:e}=_.getEnv(),r=o;if(!(o instanceof e)){let i=await M(o);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let c=i.getInput(0);r=c instanceof e?c:await Pr(c)}let a=k(r);return t.map(i=>i instanceof E?i.forSize(r.width,r.height).box.floor():i).map(i=>i.clipAtImageBorders(r.width,r.height)).map(({x:i,y:c,width:m,height:p})=>{let u=Rt({width:m,height:p});return m>0&&p>0&&k(u).putImageData(a.getImageData(i,c,m,p),0,0),u})}async function oe(o,t){if(!K(o)&&!R(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(R(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return n.tidy(()=>{let[e,r,a]=o.shape.slice(R(o)?1:0);return t.map(c=>c instanceof E?c.forSize(r,e).box:c).map(c=>c.clipAtImageBorders(r,e)).filter(c=>c.width>0&&c.height>0).map(({x:c,y:m,width:p,height:u})=>n.slice3d(o.as3D(e,r,a),[m,c,0],[u,p,a]))})}async function mt(o,t){let{fetch:e}=_.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Fi(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return wr(e)}async function Dr(o){return(await mt(o)).json()}async function Ii(o){return new Float32Array(await(await mt(o)).arrayBuffer())}function Er(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=_.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function ki(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Er(e)}function ge(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let a=o.split("/").filter(c=>c),s=o.endsWith(".json")?a[a.length-1]:e,i=r+(o.endsWith(".json")?a.slice(0,a.length-1):a).join("/");return i=o.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function Mr(o,t){let{manifestUri:e,modelBaseUri:r}=ge(o,t),a=await Dr(e);return n.io.loadWeights(a,r)}function Vi(o,t,e=!1){let{width:r,height:a}=e?Bt(t):t;return o.width=r,o.height=a,{width:r,height:a}}var I=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:a}=this.traversePropertyPath(t);r[a].dispose(),r[a]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof n.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof n.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=n.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await Mr(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=_.getEnv(),{manifestUri:r,modelBaseUri:a}=ge(t,this.getDefaultModelName()),s=p=>Promise.all(p.map(u=>e(u).then(f=>f.buffer))),i=n.io.weightsLoaderFactory(s),c=JSON.parse((await e(r)).toString()),m=await i(c,a);this.loadFromWeightMap(m)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:r,objProp:a}=e;if(!r||!a||!(r[a]instanceof n.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:a}}};function W(o,t,e){return n.tidy(()=>{let r=n.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=n.add(r,t.bias),r})}function xe(o,t,e=!1){return n.tidy(()=>{let r=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):W(o,t.conv0,[2,2])),a=W(r,t.conv1,[1,1]),s=n.relu(n.add(r,a)),i=W(s,t.conv2,[1,1]);return n.relu(n.add(r,n.add(a,i)))})}function ne(o,t,e=!1,r=!0){return n.tidy(()=>{let a=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):W(o,t.conv0,r?[2,2]:[1,1])),s=W(a,t.conv1,[1,1]),i=n.relu(n.add(a,s)),c=W(i,t.conv2,[1,1]),m=n.relu(n.add(a,n.add(s,c))),p=W(m,t.conv3,[1,1]);return n.relu(n.add(a,n.add(s,n.add(c,p))))})}function _t(o,t,e="same",r=!1){return n.tidy(()=>{let a=n.add(n.conv2d(o,t.filters,[1,1],e),t.bias);return r?n.relu(a):a})}function L(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}function $t(o,t){return(e,r,a,s)=>{let i=n.tensor4d(o(e*r*a*a),[a,a,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:c}}}function ve(o,t){return(e,r,a)=>{let s=n.tensor2d(o(e*r),[e,r]),i=n.tensor1d(o(r));return t.push({paramPath:`${a}/weights`},{paramPath:`${a}/bias`}),{weights:s,bias:i}}}var ae=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function Ot(o,t){return(e,r,a)=>{let s=n.tensor4d(o(9*e),[3,3,e,1]),i=n.tensor4d(o(e*r),[1,1,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${a}/depthwise_filter`},{paramPath:`${a}/pointwise_filter`},{paramPath:`${a}/bias`}),new ae(s,i,c)}}function Ht(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),a=o(`${t}/bias`,1);return new ae(e,r,a)}}function B(o,t){return(e,r,a)=>{let s=o[e];if(!xt(s,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${s}`);return t.push({originalPath:e,paramPath:a||e}),s}}function A(o){let t=o;function e(a){let s=t.slice(0,a);return t=t.slice(a),s}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function ye(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m,p=!1){let u=p?e(i,c,3,`${m}/conv0`):r(i,c,`${m}/conv0`),f=r(c,c,`${m}/conv1`),l=r(c,c,`${m}/conv2`);return{conv0:u,conv1:f,conv2:l}}function s(i,c,m,p=!1){let{conv0:u,conv1:f,conv2:l}=a(i,c,m,p),d=r(c,c,`${m}/conv3`);return{conv0:u,conv1:f,conv2:l,conv3:d}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Cr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock4Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2"),m=a(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c,dense3:m}}}function _e(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function Te(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function i(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`),l=a(`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function Ir(o){let t=[],{extractDenseBlock4Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return L(o,t),{params:r,paramMappings:t}}var zt=class extends I{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=ne(s,e.dense0,!0);return i=ne(i,e.dense1),i=ne(i,e.dense2),i=ne(i,e.dense3),i=n.avgPool(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Ir(t)}extractParams(t){return Cr(t)}};function se(o,t){return n.tidy(()=>n.add(n.matMul(o,t.weights),t.bias))}function Nr(o,t,e){let r=[],{extractWeights:a,getRemainingWeights:s}=A(o),c=ve(a,r)(t,e,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:r,params:{fc:c}}}function Sr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:r("fc")};return L(o,t),{params:a,paramMappings:t}}function we(o){let t={},e={};return Object.keys(o).forEach(r=>{let a=r.startsWith("fc")?e:t;a[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Vt=class extends I{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e;return se(a.as2D(a.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Nr(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=we(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Sr(a)}extractParams(e){let r=this.getClassifierChannelsIn(),a=this.getClassifierChannelsOut(),s=a*r+a,i=e.slice(0,e.length-s),c=e.slice(e.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(c)}};var Lr=["neutral","happy","sad","angry","fearful","disgusted","surprised"],pt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);Lr.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return Lr.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Pe=class extends Vt{constructor(t=new zt){super("FaceExpressionNet",t)}forwardInput(t){return n.tidy(()=>n.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await M(t))}async predictExpressions(t){let e=await M(t),r=await this.forwardInput(e),a=await Promise.all(n.unstack(r).map(async i=>{let c=i.dataSync();return i.dispose(),c}));r.dispose();let s=a.map(i=>new pt(i));return e.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function Ar(o){return o.expressions instanceof pt}function tr(o,t){return{...o,...{expressions:t}}}function So(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof pt?s:Ar(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let m=i.asSortedArray().filter(f=>f.probability>e),p=tt(s)?s.detection.box.bottomLeft:r||new g(0,0);new et(m.map(f=>`${f.expression} (${vt(f.probability)})`),p).draw(o)})}function Yt(o){return tt(o)&&o.landmarks instanceof $&&o.unshiftedLandmarks instanceof $&&o.alignedRect instanceof E}function Lo(o){let t=m=>m*180/Math.PI,e=(m,p)=>Math.sqrt((m._x-p._x)**2+(m._y-p._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},a=(m,p,u)=>{let f=Math.floor(m._x-p._x),l=Math.floor(p._x-u._x);return f-l},s=(m,p)=>{let u=Math.hypot(p._x-m._x,p._y-m._y),f=p._y-m._y,l=Math.asin(f/u),d=t(l),b=Math.floor(90-d),x=p._x-m._x<0?-1:1;return b*x},i=(m,p,u)=>{let f=e(m,u),l={_x:(m._x+u._x)/2,_y:(m._y+u._y)/2},d=e(p,l),b=Math.atan(d/f),x=Math.floor(t(b)),w=l._y-p._y<0?-1:1;return x*w};if(!o||!o._positions||o._positions.length!==68)return r;let c=o._positions;return r.roll=s(c[27],c[66]),r.pitch=i(c[14],c[30],c[2]),r.yaw=a(c[14],c[33],c[2]),r}function ie(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),a=r.align(),{imageDims:s}=o.detection,i=new E(o.detection.score,a.rescale(s.reverse()),s),c=Lo(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:i,angle:c}}}var Fe=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=a||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=c||"rgba(255, 0, 255, 1)"}},De=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new Fe(e)}draw(t){let e=k(t),{drawLines:r,drawPoints:a,lineWidth:s,lineColor:i,pointSize:c,pointColor:m}=this.options;if(r&&this.faceLandmarks instanceof Lt&&(e.strokeStyle=i,e.lineWidth=s,Z(e,this.faceLandmarks.getJawOutline()),Z(e,this.faceLandmarks.getLeftEyeBrow()),Z(e,this.faceLandmarks.getRightEyeBrow()),Z(e,this.faceLandmarks.getNose()),Z(e,this.faceLandmarks.getLeftEye(),!0),Z(e,this.faceLandmarks.getRightEye(),!0),Z(e,this.faceLandmarks.getMouth(),!0)),a){e.strokeStyle=m,e.fillStyle=m;let p=u=>{e.beginPath(),e.arc(u.x,u.y,c,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(p)}}};function Ao(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof $?r:Yt(r)?r.landmarks:void 0;if(!a)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new De(a).draw(o)})}var kr="1.7.8";function Bo(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m){let p=r(i,c,`${m}/separable_conv0`),u=r(c,c,`${m}/separable_conv1`),f=e(i,c,1,`${m}/expansion_conv`);return{separable_conv0:p,separable_conv1:u,expansion_conv:f}}function s(i,c){let m=r(i,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=r(i,i,`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:a,extractMainBlockParams:s}}function Br(o,t){let e=[],{extractWeights:r,getRemainingWeights:a}=A(o),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:c,extractMainBlockParams:m}=Bo(r,e),p=s(3,32,3,"entry_flow/conv_in"),u=c(32,64,"entry_flow/reduction_block_0"),f=c(64,128,"entry_flow/reduction_block_1"),l={conv_in:p,reduction_block_0:u,reduction_block_1:f},d={};U(t,0,1).forEach(h=>{d[`main_block_${h}`]=m(128,`middle_flow/main_block_${h}`)});let b=c(128,256,"exit_flow/reduction_block"),x=i(256,512,"exit_flow/separable_conv"),w={reduction_block:b,separable_conv:x};if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:e,params:{entry_flow:l,middle_flow:d,exit_flow:w}}}function Ro(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=r(`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function i(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=a(`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}}function Rr(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}=Ro(o,e),c=r("entry_flow/conv_in"),m=s("entry_flow/reduction_block_0"),p=s("entry_flow/reduction_block_1"),u={conv_in:c,reduction_block_0:m,reduction_block_1:p},f={};U(t,0,1).forEach(x=>{f[`main_block_${x}`]=i(`middle_flow/main_block_${x}`)});let l=s("exit_flow/reduction_block"),d=a("exit_flow/separable_conv"),b={reduction_block:l,separable_conv:d};return L(o,e),{params:{entry_flow:u,middle_flow:f,exit_flow:b},paramMappings:e}}function $r(o,t,e){return n.add(n.conv2d(o,t.filters,e,"same"),t.bias)}function er(o,t,e=!0){let r=e?n.relu(o):o;return r=W(r,t.separable_conv0,[1,1]),r=W(n.relu(r),t.separable_conv1,[1,1]),r=n.maxPool(r,[3,3],[2,2],"same"),r=n.add(r,$r(o,t.expansion_conv,[2,2])),r}function $o(o,t){let e=W(n.relu(o),t.separable_conv0,[1,1]);return e=W(n.relu(e),t.separable_conv1,[1,1]),e=W(n.relu(e),t.separable_conv2,[1,1]),e=n.add(e,o),e}var Ee=class extends I{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return n.tidy(()=>{let a=n.cast(e.toBatchTensor(112,!0),"float32"),i=X(a,[122.782,117.001,104.298]).div(255),c=n.relu($r(i,r.entry_flow.conv_in,[2,2]));return c=er(c,r.entry_flow.reduction_block_0,!1),c=er(c,r.entry_flow.reduction_block_1),U(this._numMainBlocks,0,1).forEach(m=>{c=$o(c,r.middle_flow[`main_block_${m}`])}),c=er(c,r.exit_flow.reduction_block),c=n.relu(W(c,r.exit_flow.separable_conv,[1,1])),c})}async forward(e){return this.forwardInput(await M(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Rr(e,this._numMainBlocks)}extractParams(e){return Br(e,this._numMainBlocks)}};function Or(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),a=ve(e,t),s=a(512,1,"fc/age"),i=a(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function Hr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:{age:r("fc/age"),gender:r("fc/gender")}};return L(o,t),{params:a,paramMappings:t}}var rr=(e=>(e.FEMALE="female",e.MALE="male",e))(rr||{});var Me=class extends I{constructor(e=new Ee(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e,s=n.avgPool(a,[7,7],[2,2],"valid").as2D(a.shape[0],-1),i=se(s,r.fc.age).as1D(),c=se(s,r.fc.gender);return{age:i,gender:c}})}forwardInput(e){return n.tidy(()=>{let{age:r,gender:a}=this.runNet(e);return{age:r,gender:n.softmax(a)}})}async forward(e){return this.forwardInput(await M(e))}async predictAgeAndGender(e){let r=await M(e),a=await this.forwardInput(r),s=n.unstack(a.age),i=n.unstack(a.gender),c=s.map((p,u)=>({ageTensor:p,genderTensor:i[u]})),m=await Promise.all(c.map(async({ageTensor:p,genderTensor:u})=>{let f=p.dataSync()[0],l=u.dataSync()[0],d=l>.5,b=d?"male":"female",x=d?l:1-l;return p.dispose(),u.dispose(),{age:f,gender:b,genderProbability:x}}));return a.age.dispose(),a.gender.dispose(),r.isBatchInput?m:m[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Or(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=we(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Hr(a)}extractParams(e){let a=e.slice(0,e.length-1539),s=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(a),this.extractClassifierParams(s)}};var Gt=class extends Vt{postProcess(t,e,r){let a=r.map(({width:i,height:c})=>{let m=e/Math.max(c,i);return{width:i*m,height:c*m}}),s=a.length;return n.tidy(()=>{let i=(f,l)=>n.stack([n.fill([68],f,"float32"),n.fill([68],l,"float32")],1).as2D(1,136).as1D(),c=(f,l)=>{let{width:d,height:b}=a[f];return l(d,b)?Math.abs(d-b)/2:0},m=f=>c(f,(l,d)=>lc(f,(l,d)=>di(m(l),p(l))))).div(n.stack(Array.from(Array(s),(f,l)=>i(a[l].width,a[l].height))))})}forwardInput(t){return n.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,a])=>({height:r,width:a})))})}async forward(t){return this.forwardInput(await M(t))}async detectLandmarks(t){let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(async(s,i)=>{let c=Array.from(s.dataSync()),m=c.filter((u,f)=>pe(f)),p=c.filter((u,f)=>!pe(f));return new Lt(Array(68).fill(0).map((u,f)=>new g(m[f],p[f])),{height:e.getInputHeight(i),width:e.getInputWidth(i)})}));return r.forEach(s=>s.dispose()),e.isBatchInput?a:a[0]}getClassifierChannelsOut(){return 136}};var jt=class extends Gt{constructor(t=new zt){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function zr(o){let t=[],{extractDenseBlock3Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return L(o,t),{params:r,paramMappings:t}}function Vr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock3Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c}}}var Ce=class extends I{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=xe(s,e.dense0,!0);return i=xe(i,e.dense1),i=xe(i,e.dense2),i=n.avgPool(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return zr(t)}extractParams(t){return Vr(t)}};var Ie=class extends Gt{constructor(t=new Ce){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var Yr=class extends jt{};function Gr(o,t){return n.add(n.mul(o,t.weights),t.biases)}function or(o,t,e,r,a="same"){let{filters:s,bias:i}=t.conv,c=n.conv2d(o,s,e,a);return c=n.add(c,i),c=Gr(c,t.scale),r?n.relu(c):c}function jr(o,t){return or(o,t,[1,1],!0)}function nr(o,t){return or(o,t,[1,1],!1)}function Ne(o,t){return or(o,t,[2,2],!0,"valid")}function Oo(o,t){function e(c,m,p){let u=o(c),f=u.length/(m*p*p);if(Ge(f))throw new Error(`depth has to be an integer: ${f}, weights.length: ${u.length}, numFilters: ${m}, filterSize: ${p}`);return n.tidy(()=>n.transpose(n.tensor4d(u,[m,f,p,p]),[2,3,1,0]))}function r(c,m,p,u){let f=e(c,m,p),l=n.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/bias`}),{filters:f,bias:l}}function a(c,m){let p=n.tensor1d(o(c)),u=n.tensor1d(o(c));return t.push({paramPath:`${m}/weights`},{paramPath:`${m}/biases`}),{weights:p,biases:u}}function s(c,m,p,u){let f=r(c,m,p,`${u}/conv`),l=a(m,`${u}/scale`);return{conv:f,scale:l}}function i(c,m,p,u,f=!1){let l=s((f?.5:1)*c,m,p,`${u}/conv1`),d=s(c,m,p,`${u}/conv2`);return{conv1:l,conv2:d}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function Ur(o){let{extractWeights:t,getRemainingWeights:e}=A(o),r=[],{extractConvLayerParams:a,extractResidualLayerParams:s}=Oo(t,r),i=a(4704,32,7,"conv32_down"),c=s(9216,32,3,"conv32_1"),m=s(9216,32,3,"conv32_2"),p=s(9216,32,3,"conv32_3"),u=s(36864,64,3,"conv64_down",!0),f=s(36864,64,3,"conv64_1"),l=s(36864,64,3,"conv64_2"),d=s(36864,64,3,"conv64_3"),b=s(147456,128,3,"conv128_down",!0),x=s(147456,128,3,"conv128_1"),w=s(147456,128,3,"conv128_2"),h=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),v=s(589824,256,3,"conv256_2"),D=s(589824,256,3,"conv256_down_out"),N=n.tidy(()=>n.transpose(n.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:i,conv32_1:c,conv32_2:m,conv32_3:p,conv64_down:u,conv64_1:f,conv64_2:l,conv64_3:d,conv128_down:b,conv128_1:x,conv128_2:w,conv256_down:h,conv256_1:y,conv256_2:v,conv256_down_out:D,fc:N},paramMappings:r}}function Ho(o,t){let e=B(o,t);function r(i){let c=e(`${i}/scale/weights`,1),m=e(`${i}/scale/biases`,1);return{weights:c,biases:m}}function a(i){let c=e(`${i}/conv/filters`,4),m=e(`${i}/conv/bias`,1),p=r(i);return{conv:{filters:c,bias:m},scale:p}}function s(i){return{conv1:a(`${i}/conv1`),conv2:a(`${i}/conv2`)}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Xr(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Ho(o,t),a=e("conv32_down"),s=r("conv32_1"),i=r("conv32_2"),c=r("conv32_3"),m=r("conv64_down"),p=r("conv64_1"),u=r("conv64_2"),f=r("conv64_3"),l=r("conv128_down"),d=r("conv128_1"),b=r("conv128_2"),x=r("conv256_down"),w=r("conv256_1"),h=r("conv256_2"),y=r("conv256_down_out"),{fc:v}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Ye(v))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${v}`);let D={conv32_down:a,conv32_1:s,conv32_2:i,conv32_3:c,conv64_down:m,conv64_1:p,conv64_2:u,conv64_3:f,conv128_down:l,conv128_1:d,conv128_2:b,conv256_down:x,conv256_1:w,conv256_2:h,conv256_down_out:y,fc:v};return L(o,t),{params:D,paramMappings:t}}function j(o,t){let e=jr(o,t.conv1);return e=nr(e,t.conv2),e=n.add(e,o),e=n.relu(e),e}function ce(o,t){let e=Ne(o,t.conv1);e=nr(e,t.conv2);let r=n.avgPool(o,2,2,"valid"),a=n.zeros(r.shape),s=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let c=[...e.shape];c[1]=1;let m=n.zeros(c);e=n.concat([e,m],1);let p=[...e.shape];p[2]=1;let u=n.zeros(p);e=n.concat([e,u],2)}return r=s?n.concat([r,a],3):r,e=n.add(r,e),e=n.relu(e),e}var Ut=class extends I{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(150,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=Ne(s,e.conv32_down);i=n.maxPool(i,3,2,"valid"),i=j(i,e.conv32_1),i=j(i,e.conv32_2),i=j(i,e.conv32_3),i=ce(i,e.conv64_down),i=j(i,e.conv64_1),i=j(i,e.conv64_2),i=j(i,e.conv64_3),i=ce(i,e.conv128_down),i=j(i,e.conv128_1),i=j(i,e.conv128_2),i=ce(i,e.conv256_down),i=j(i,e.conv256_1),i=j(i,e.conv256_2),i=ce(i,e.conv256_down_out);let c=i.mean([1,2]);return n.matMul(c,e.fc)})}async forward(t){return this.forwardInput(await M(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(i=>i.data()));return r.forEach(i=>i.dispose()),e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Xr(t)}extractParams(t){return Ur(t)}};function bf(o){let t=new Ut;return t.extractWeights(o),t}function ar(o,t){return{...o,...{descriptor:t}}}function yf(o){return typeof o.age=="number"}function sr(o,t){return{...o,...{age:t}}}function Pf(o){return(o.gender==="male"||o.gender==="female")&&It(o.genderProbability)}function ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}function zo(o,t){function e(m,p){let u=n.tensor4d(o(9*m),[3,3,m,1]),f=n.tensor1d(o(m)),l=n.tensor1d(o(m)),d=n.tensor1d(o(m)),b=n.tensor1d(o(m));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/batch_norm_scale`},{paramPath:`${p}/batch_norm_offset`},{paramPath:`${p}/batch_norm_mean`},{paramPath:`${p}/batch_norm_variance`}),{filters:u,batch_norm_scale:f,batch_norm_offset:l,batch_norm_mean:d,batch_norm_variance:b}}function r(m,p,u,f,l){let d=n.tensor4d(o(m*p*u*u),[u,u,m,p]),b=n.tensor1d(o(p));return t.push({paramPath:`${f}/filters`},{paramPath:`${f}/${l?"batch_norm_offset":"bias"}`}),{filters:d,bias:b}}function a(m,p,u,f){let{filters:l,bias:d}=r(m,p,u,f,!0);return{filters:l,batch_norm_offset:d}}function s(m,p,u){let f=e(m,`${u}/depthwise_conv`),l=a(m,p,1,`${u}/pointwise_conv`);return{depthwise_conv:f,pointwise_conv:l}}function i(){let m=a(3,32,3,"mobilenetv1/conv_0"),p=s(32,64,"mobilenetv1/conv_1"),u=s(64,128,"mobilenetv1/conv_2"),f=s(128,128,"mobilenetv1/conv_3"),l=s(128,256,"mobilenetv1/conv_4"),d=s(256,256,"mobilenetv1/conv_5"),b=s(256,512,"mobilenetv1/conv_6"),x=s(512,512,"mobilenetv1/conv_7"),w=s(512,512,"mobilenetv1/conv_8"),h=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),v=s(512,512,"mobilenetv1/conv_11"),D=s(512,1024,"mobilenetv1/conv_12"),N=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:b,conv_7:x,conv_8:w,conv_9:h,conv_10:y,conv_11:v,conv_12:D,conv_13:N}}function c(){let m=a(1024,256,1,"prediction_layer/conv_0"),p=a(256,512,3,"prediction_layer/conv_1"),u=a(512,128,1,"prediction_layer/conv_2"),f=a(128,256,3,"prediction_layer/conv_3"),l=a(256,128,1,"prediction_layer/conv_4"),d=a(128,256,3,"prediction_layer/conv_5"),b=a(256,64,1,"prediction_layer/conv_6"),x=a(64,128,3,"prediction_layer/conv_7"),w=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),v=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),D=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),N=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),Y=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),q=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),O=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),at=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),st=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),it=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:b,conv_7:x,box_predictor_0:{box_encoding_predictor:w,class_predictor:h},box_predictor_1:{box_encoding_predictor:y,class_predictor:v},box_predictor_2:{box_encoding_predictor:D,class_predictor:N},box_predictor_3:{box_encoding_predictor:Y,class_predictor:q},box_predictor_4:{box_encoding_predictor:O,class_predictor:at},box_predictor_5:{box_encoding_predictor:st,class_predictor:it}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:c}}function Jr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractMobilenetV1Params:a,extractPredictionLayerParams:s}=zo(e,t),i=a(),c=s(),p={extra_dim:n.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:i,prediction_layer:c,output_layer:p},paramMappings:t}}function Vo(o,t){let e=B(o,t);function r(p,u,f){let l=e(`${p}/Conv2d_${u}_pointwise/weights`,4,`${f}/filters`),d=e(`${p}/Conv2d_${u}_pointwise/convolution_bn_offset`,1,`${f}/batch_norm_offset`);return{filters:l,batch_norm_offset:d}}function a(p){let u=`mobilenetv1/conv_${p}`,f=`MobilenetV1/Conv2d_${p}_depthwise`,l=`${u}/depthwise_conv`,d=`${u}/pointwise_conv`,b=e(`${f}/depthwise_weights`,4,`${l}/filters`),x=e(`${f}/BatchNorm/gamma`,1,`${l}/batch_norm_scale`),w=e(`${f}/BatchNorm/beta`,1,`${l}/batch_norm_offset`),h=e(`${f}/BatchNorm/moving_mean`,1,`${l}/batch_norm_mean`),y=e(`${f}/BatchNorm/moving_variance`,1,`${l}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:x,batch_norm_offset:w,batch_norm_mean:h,batch_norm_variance:y},pointwise_conv:r("MobilenetV1",p,d)}}function s(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:a(1),conv_2:a(2),conv_3:a(3),conv_4:a(4),conv_5:a(5),conv_6:a(6),conv_7:a(7),conv_8:a(8),conv_9:a(9),conv_10:a(10),conv_11:a(11),conv_12:a(12),conv_13:a(13)}}function i(p,u){let f=e(`${p}/weights`,4,`${u}/filters`),l=e(`${p}/biases`,1,`${u}/bias`);return{filters:f,bias:l}}function c(p){let u=i(`Prediction/BoxPredictor_${p}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${p}/box_encoding_predictor`),f=i(`Prediction/BoxPredictor_${p}/ClassPredictor`,`prediction_layer/box_predictor_${p}/class_predictor`);return{box_encoding_predictor:u,class_predictor:f}}function m(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:c(0),box_predictor_1:c(1),box_predictor_2:c(2),box_predictor_3:c(3),box_predictor_4:c(4),box_predictor_5:c(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:m}}function qr(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Vo(o,t),a=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!K(a))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${a}`);let s={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:a}};return L(o,t),{params:s,paramMappings:t}}function H(o,t,e){return n.tidy(()=>{let r=n.conv2d(o,t.filters,e,"same");return r=n.add(r,t.batch_norm_offset),n.clipByValue(r,0,6)})}var Yo=.0010000000474974513;function Go(o,t,e){return n.tidy(()=>{let r=n.depthwiseConv2d(o,t.filters,e,"same");return r=n.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Yo),n.clipByValue(r,0,6)})}function jo(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Zr(o,t){return n.tidy(()=>{let e,r=H(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let c=i+1,m=jo(c);r=Go(r,s.depthwise_conv,m),r=H(r,s.pointwise_conv,[1,1]),c===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function Uo(o,t,e){let r=o.arraySync(),a=Math.min(r[t][0],r[t][2]),s=Math.min(r[t][1],r[t][3]),i=Math.max(r[t][0],r[t][2]),c=Math.max(r[t][1],r[t][3]),m=Math.min(r[e][0],r[e][2]),p=Math.min(r[e][1],r[e][3]),u=Math.max(r[e][0],r[e][2]),f=Math.max(r[e][1],r[e][3]),l=(i-a)*(c-s),d=(u-m)*(f-p);if(l<=0||d<=0)return 0;let b=Math.max(a,m),x=Math.max(s,p),w=Math.min(i,u),h=Math.min(c,f),y=Math.max(w-b,0)*Math.max(h-x,0);return y/(l+d-y)}function Kr(o,t,e,r,a){let s=o.shape[0],i=Math.min(e,s),c=t.map((u,f)=>({score:u,boxIndex:f})).filter(u=>u.score>a).sort((u,f)=>f.score-u.score),m=u=>u<=r?1:0,p=[];return c.forEach(u=>{if(p.length>=i)return;let f=u.score;for(let l=p.length-1;l>=0;--l){let d=Uo(o,u.boxIndex,p[l]);if(d!==0&&(u.score*=m(d),u.score<=a))break}f===u.score&&p.push(u.boxIndex)}),p}function Xo(o){let t=n.unstack(n.transpose(o,[1,0])),e=[n.sub(t[2],t[0]),n.sub(t[3],t[1])],r=[n.add(t[0],n.div(e[0],2)),n.add(t[1],n.div(e[1],2))];return{sizes:e,centers:r}}function Jo(o,t){let{sizes:e,centers:r}=Xo(o),a=n.unstack(n.transpose(t,[1,0])),s=n.div(n.mul(n.exp(n.div(a[2],5)),e[0]),2),i=n.add(n.mul(n.div(a[0],10),e[0]),r[0]),c=n.div(n.mul(n.exp(n.div(a[3],5)),e[1]),2),m=n.add(n.mul(n.div(a[1],10),e[1]),r[1]);return n.transpose(n.stack([n.sub(i,s),n.sub(m,c),n.add(i,s),n.add(m,c)]),[1,0])}function Qr(o,t,e){return n.tidy(()=>{let r=o.shape[0],a=Jo(n.reshape(n.tile(e.extra_dim,[r,1,1]),[-1,4]),n.reshape(o,[-1,4]));a=n.reshape(a,[r,a.shape[0]/r,4]);let s=n.sigmoid(n.slice(t,[0,0,1],[-1,-1,-1])),i=n.slice(s,[0,0,0],[-1,-1,1]);i=n.reshape(i,[r,i.shape[1]]);let c=n.unstack(a),m=n.unstack(i);return{boxes:c,scores:m}})}function Tt(o,t){return n.tidy(()=>{let e=o.shape[0],r=n.reshape(_t(o,t.box_encoding_predictor),[e,-1,1,4]),a=n.reshape(_t(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:a}})}function to(o,t,e){return n.tidy(()=>{let r=H(o,e.conv_0,[1,1]),a=H(r,e.conv_1,[2,2]),s=H(a,e.conv_2,[1,1]),i=H(s,e.conv_3,[2,2]),c=H(i,e.conv_4,[1,1]),m=H(c,e.conv_5,[2,2]),p=H(m,e.conv_6,[1,1]),u=H(p,e.conv_7,[2,2]),f=Tt(t,e.box_predictor_0),l=Tt(o,e.box_predictor_1),d=Tt(a,e.box_predictor_2),b=Tt(i,e.box_predictor_3),x=Tt(m,e.box_predictor_4),w=Tt(u,e.box_predictor_5),h=n.concat([f.boxPredictionEncoding,l.boxPredictionEncoding,d.boxPredictionEncoding,b.boxPredictionEncoding,x.boxPredictionEncoding,w.boxPredictionEncoding],1),y=n.concat([f.classPrediction,l.classPrediction,d.classPrediction,b.classPrediction,x.classPrediction,w.classPrediction],1);return{boxPredictions:h,classPredictions:y}})}var z=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var wt=class extends I{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(512,!1),"float32"),a=n.sub(n.div(r,127.5),1),s=Zr(a,e.mobilenetv1),{boxPredictions:i,classPredictions:c}=to(s.out,s.conv11,e.prediction_layer);return Qr(i,c,e.output_layer)})}async forward(t){return this.forwardInput(await M(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:a}=new z(e),s=await M(t),{boxes:i,scores:c}=this.forwardInput(s),m=i[0],p=c[0];for(let v=1;v{let[D,N]=[Math.max(0,h[v][0]),Math.min(1,h[v][2])].map(O=>O*w),[Y,q]=[Math.max(0,h[v][1]),Math.min(1,h[v][3])].map(O=>O*x);return new E(u[v],new St(Y,D,q-Y,N-D),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return m.dispose(),p.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return qr(t)}extractParams(t){return Jr(t)}};function qo(o){let t=new wt;return t.extractWeights(o),t}function bl(o){return qo(o)}var eo=class extends wt{};var ro=.4,oo=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],no=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],ao=[117.001,114.697,97.404],so="tiny_yolov2_model",io="tiny_yolov2_separable_conv_model";var Se=o=>typeof o=="number";function co(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Se(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Se(t.x)&&Se(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Se)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}function Xt(o){return n.tidy(()=>{let t=n.mul(o,n.scalar(.10000000149011612));return n.add(n.relu(n.sub(o,t)),t)})}function ot(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.conv2d(e,t.conv.filters,[1,1],"valid"),e=n.sub(e,t.bn.sub),e=n.mul(e,t.bn.truediv),e=n.add(e,t.conv.bias),Xt(e)})}function nt(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=n.add(e,t.bias),Xt(e)})}function Zo(o,t){let e=$t(o,t);function r(i,c){let m=n.tensor1d(o(i)),p=n.tensor1d(o(i));return t.push({paramPath:`${c}/sub`},{paramPath:`${c}/truediv`}),{sub:m,truediv:p}}function a(i,c,m){let p=e(i,c,3,`${m}/conv`),u=r(c,`${m}/bn`);return{conv:p,bn:u}}let s=Ot(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function mo(o,t,e,r){let{extractWeights:a,getRemainingWeights:s}=A(o),i=[],{extractConvParams:c,extractConvWithBatchNormParams:m,extractSeparableConvParams:p}=Zo(a,i),u;if(t.withSeparableConvs){let[f,l,d,b,x,w,h,y,v]=r,D=t.isFirstLayerConv2d?c(f,l,3,"conv0"):p(f,l,"conv0"),N=p(l,d,"conv1"),Y=p(d,b,"conv2"),q=p(b,x,"conv3"),O=p(x,w,"conv4"),at=p(w,h,"conv5"),st=y?p(h,y,"conv6"):void 0,it=v?p(y,v,"conv7"):void 0,gt=c(v||y||h,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}else{let[f,l,d,b,x,w,h,y,v]=r,D=m(f,l,"conv0"),N=m(l,d,"conv1"),Y=m(d,b,"conv2"),q=m(b,x,"conv3"),O=m(x,w,"conv4"),at=m(w,h,"conv5"),st=m(h,y,"conv6"),it=m(y,v,"conv7"),gt=c(v,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:u,paramMappings:i}}function Ko(o,t){let e=B(o,t);function r(c){let m=e(`${c}/sub`,1),p=e(`${c}/truediv`,1);return{sub:m,truediv:p}}function a(c){let m=e(`${c}/filters`,4),p=e(`${c}/bias`,1);return{filters:m,bias:p}}function s(c){let m=a(`${c}/conv`),p=r(`${c}/bn`);return{conv:m,bn:p}}let i=Ht(e);return{extractConvParams:a,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function po(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}=Ko(o,e),i;if(t.withSeparableConvs){let c=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?r("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:c>7?s("conv6"):void 0,conv7:c>8?s("conv7"):void 0,conv8:r("conv8")}}else i={conv0:a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:a("conv6"),conv7:a("conv7"),conv8:r("conv8")};return L(o,e),{params:i,paramMappings:e}}var J=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var cr=class extends I{constructor(e){super("TinyYolov2");co(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let a=ot(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=ot(a,r.conv6),a=ot(a,r.conv7),_t(a,r.conv8,"valid",!1)}runMobilenet(e,r){let a=this.config.isFirstLayerConv2d?Xt(_t(e,r.conv0,"valid",!1)):nt(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=r.conv6?nt(a,r.conv6):a,a=r.conv7?nt(a,r.conv7):a,_t(a,r.conv8,"valid",!1)}forwardInput(e,r){let{params:a}=this;if(!a)throw new Error("TinyYolov2 - load model before inference");return n.tidy(()=>{let s=n.cast(e.toBatchTensor(r,!1),"float32");return s=this.config.meanRgb?X(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,a):this.runTinyYolov2(s,a)})}async forward(e,r){return this.forwardInput(await M(e),r)}async detect(e,r={}){let{inputSize:a,scoreThreshold:s}=new J(r),i=await M(e),c=await this.forwardInput(i,a),m=n.tidy(()=>n.unstack(c)[0].expandDims()),p={width:i.getInputWidth(0),height:i.getInputHeight(0)},u=await this.extractBoxes(m,i.getReshapedInputDimensions(0),s);c.dispose(),m.dispose();let f=u.map(h=>h.box),l=u.map(h=>h.score),d=u.map(h=>h.classScore),b=u.map(h=>this.config.classes[h.label]);return xr(f.map(h=>h.rescale(a)),l,this.config.iouThreshold,!0).map(h=>new ct(l[h],d[h],b[h],f[h],p))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return po(e,this.config)}extractParams(e){let r=this.config.filterSizes||cr.DEFAULT_FILTER_SIZES,a=r?r.length:void 0;if(a!==7&&a!==8&&a!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${a} filterSizes in config`);return mo(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,a){let{width:s,height:i}=r,c=Math.max(s,i),m=c/s,p=c/i,u=e.shape[1],f=this.config.anchors.length,[l,d,b]=n.tidy(()=>{let y=e.reshape([u,u,f,this.boxEncodingSize]),v=y.slice([0,0,0,0],[u,u,f,4]),D=y.slice([0,0,0,4],[u,u,f,1]),N=this.withClassScores?n.softmax(y.slice([0,0,0,5],[u,u,f,this.config.classes.length]),3):n.scalar(0);return[v,D,N]}),x=[],w=await d.array(),h=await l.array();for(let y=0;ya){let Y=(v+fe(h[y][v][D][0]))/u*m,q=(y+fe(h[y][v][D][1]))/u*p,O=Math.exp(h[y][v][D][2])*this.config.anchors[D].x/u*m,at=Math.exp(h[y][v][D][3])*this.config.anchors[D].y/u*p,st=Y-O/2,it=q-at/2,gt={row:y,col:v,anchor:D},{classScore:pr,label:ur}=this.withClassScores?await this.extractPredictedClass(b,gt):{classScore:1,label:0};x.push({box:new Nt(st,it,st+O,it+at),score:N,classScore:N*pr,label:ur,...gt})}}return l.dispose(),d.dispose(),b.dispose(),x}async extractPredictedClass(e,r){let{row:a,col:s,anchor:i}=r,c=await e.array();return Array(this.config.classes.length).fill(0).map((m,p)=>c[a][s][i][p]).map((m,p)=>({classScore:m,label:p})).reduce((m,p)=>m.classScore>p.classScore?m:p)}},Pt=cr;Pt.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Jt=class extends Pt{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:ro,classes:["face"],...t?{anchors:no,meanRgb:ao}:{anchors:oo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?io:so}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function id(o,t=!0){let e=new Jt(t);return e.extractWeights(o),e}var Le=class extends J{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var V=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ft(o,t,e,r,a=({alignedRect:s})=>s){let s=o.map(m=>Yt(m)?a(m):m.detection),i=r||(t instanceof n.Tensor?await oe(t,s):await re(t,s)),c=await e(i);return i.forEach(m=>m instanceof n.Tensor&&m.dispose()),c}async function qt(o,t,e,r,a){return Ft([o],t,async s=>e(s[0]),r,a)}var uo=.4,fo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],lo=[117.001,114.697,97.404];var Zt=class extends Pt{constructor(){let t={withSeparableConvs:!0,iouThreshold:uo,classes:["face"],anchors:fo,meanRgb:lo,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var T={ssdMobilenetv1:new wt,tinyFaceDetector:new Zt,tinyYolov2:new Jt,faceLandmark68Net:new jt,faceLandmark68TinyNet:new Ie,faceRecognitionNet:new Ut,faceExpressionNet:new Pe,ageGenderNet:new Me},Qo=(o,t)=>T.ssdMobilenetv1.locateFaces(o,t),Bd=(o,t)=>T.tinyFaceDetector.locateFaces(o,t),Rd=(o,t)=>T.tinyYolov2.locateFaces(o,t),tn=o=>T.faceLandmark68Net.detectLandmarks(o),$d=o=>T.faceLandmark68TinyNet.detectLandmarks(o),Od=o=>T.faceRecognitionNet.computeFaceDescriptor(o),Hd=o=>T.faceExpressionNet.predictExpressions(o),zd=o=>T.ageGenderNet.predictAgeAndGender(o),en=o=>T.ssdMobilenetv1.load(o),Vd=o=>T.tinyFaceDetector.load(o),Yd=o=>T.tinyYolov2.load(o),Gd=o=>T.faceLandmark68Net.load(o),jd=o=>T.faceLandmark68TinyNet.load(o),Ud=o=>T.faceRecognitionNet.load(o),Xd=o=>T.faceExpressionNet.load(o),Jd=o=>T.ageGenderNet.load(o),qd=en,Zd=Qo,Kd=tn;var Ae=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Dt=class extends Ae{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>T.faceExpressionNet.predictExpressions(a))),this.extractedFaces);return t.map((r,a)=>tr(r,e[a]))}withAgeAndGender(){return new Mt(this,this.input)}},Et=class extends Ae{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>T.faceExpressionNet.predictExpressions(r),this.extractedFaces);return tr(t,e)}withAgeAndGender(){return new Ct(this,this.input)}},ut=class extends Dt{withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},ft=class extends Et{withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var We=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Mt=class extends We{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>T.ageGenderNet.predictAgeAndGender(a))),this.extractedFaces);return t.map((r,a)=>{let{age:s,gender:i,genderProbability:c}=e[a];return sr(ir(r,i,c),s)})}withFaceExpressions(){return new Dt(this,this.input)}},Ct=class extends We{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:a}=await qt(t,this.input,s=>T.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return sr(ir(t,r,a),e)}withFaceExpressions(){return new Et(this,this.input)}},lt=class extends Mt{withFaceExpressions(){return new ut(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},dt=class extends Ct{withFaceExpressions(){return new ft(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var ke=class extends V{constructor(e,r){super();this.parentTask=e;this.input=r}},ht=class extends ke{async run(){let t=await this.parentTask;return(await Ft(t,this.input,r=>Promise.all(r.map(a=>T.faceRecognitionNet.computeFaceDescriptor(a))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,a)=>ar(t[a],r))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}},bt=class extends ke{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>T.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return ar(t,e)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}};var Be=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=a}get landmarkNet(){return this.useTinyLandmarkNet?T.faceLandmark68TinyNet:T.faceLandmark68Net}},Re=class extends Be{async run(){let t=await this.parentTask,e=t.map(i=>i.detection),r=this.input instanceof n.Tensor?await oe(this.input,e):await re(this.input,e),a=await Promise.all(r.map(i=>this.landmarkNet.detectLandmarks(i)));return r.forEach(i=>i instanceof n.Tensor&&i.dispose()),t.filter((i,c)=>a[c]).map((i,c)=>ie(i,a[c]))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},$e=class extends Be{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof n.Tensor?await oe(this.input,[e]):await re(this.input,[e]),a=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(s=>s instanceof n.Tensor&&s.dispose()),ie(t,a)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var Oe=class extends V{constructor(e,r=new z){super();this.input=e;this.options=r}},me=class extends Oe{async run(){let{input:t,options:e}=this,r;if(e instanceof Le)r=T.tinyFaceDetector.locateFaces(t,e);else if(e instanceof z)r=T.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof J)r=T.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(a=>At({},a)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new Re(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Dt(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Mt(this.runAndExtendWithFaceDetections(),this.input)}},He=class extends Oe{async run(){let t=await new me(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?At({},e):void 0)})}withFaceLandmarks(t=!1){return new $e(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Et(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ct(this.runAndExtendWithFaceDetection(),this.input)}};function Jh(o,t=new z){return new He(o,t)}function mr(o,t=new z){return new me(o,t)}async function rn(o,t){return mr(o,new z(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function eb(o,t={}){return mr(o,new J(t)).withFaceLandmarks().withFaceDescriptors()}var rb=rn;function ho(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((a,s)=>a-r[s]).reduce((a,s)=>a+s*s,0))}var ze=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let a=1,s=()=>`person ${a++}`;this._labeledDescriptors=r.map(i=>{if(i instanceof Q)return i;if(i instanceof Float32Array)return new Q(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Q(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>ho(r,t)).reduce((r,a)=>r+a,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new Kt(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>Q.fromJSON(r));return new ze(e,t.distanceThreshold)}};function yb(o){let t=new Zt;return t.extractWeights(o),t}function on(o,t){let{width:e,height:r}=new S(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(a=>on(a,{width:e,height:r}));if(Yt(o)){let a=o.detection.forSize(e,r),s=o.unshiftedLandmarks.forSize(a.box.width,a.box.height);return ie(At(o,a),s)}return tt(o)?At(o,o.detection.forSize(e,r)):o instanceof $||o instanceof E?o.forSize(e,r):o}var Nb=kr;export{Me as AgeGenderNet,Nt as BoundingBox,F as Box,V as ComposableTask,ht as ComputeAllFaceDescriptorsTask,ke as ComputeFaceDescriptorsTaskBase,bt as ComputeSingleFaceDescriptorTask,Re as DetectAllFaceLandmarksTask,me as DetectAllFacesTask,Be as DetectFaceLandmarksTaskBase,Oe as DetectFacesTaskBase,$e as DetectSingleFaceLandmarksTask,He as DetectSingleFaceTask,S as Dimensions,Lr as FACE_EXPRESSION_LABELS,E as FaceDetection,eo as FaceDetectionNet,Pe as FaceExpressionNet,pt as FaceExpressions,jt as FaceLandmark68Net,Ie as FaceLandmark68TinyNet,Yr as FaceLandmarkNet,$ as FaceLandmarks,yr as FaceLandmarks5,Lt as FaceLandmarks68,Kt as FaceMatch,ze as FaceMatcher,Ut as FaceRecognitionNet,rr as Gender,Qt as LabeledBox,Q as LabeledFaceDescriptors,rt as NetInput,I as NeuralNetwork,ct as ObjectDetection,g as Point,_r as PredictedBox,St as Rect,wt as SsdMobilenetv1,z as SsdMobilenetv1Options,Zt as TinyFaceDetector,Le as TinyFaceDetectorOptions,Jt as TinyYolov2,J as TinyYolov2Options,rb as allFaces,rn as allFacesSsdMobilenetv1,eb as allFacesTinyYolov2,Tr as awaitMediaLoaded,wr as bufferToImage,Od as computeFaceDescriptor,Rt as createCanvas,be as createCanvasFromMedia,bl as createFaceDetectionNet,bf as createFaceRecognitionNet,qo as createSsdMobilenetv1,yb as createTinyFaceDetector,id as createTinyYolov2,mr as detectAllFaces,tn as detectFaceLandmarks,$d as detectFaceLandmarksTiny,Kd as detectLandmarks,Jh as detectSingleFace,Wr as draw,_ as env,ho as euclideanDistance,sr as extendWithAge,ar as extendWithFaceDescriptor,At as extendWithFaceDetection,tr as extendWithFaceExpressions,ie as extendWithFaceLandmarks,ir as extendWithGender,oe as extractFaceTensors,re as extractFaces,Fi as fetchImage,Dr as fetchJson,Ii as fetchNetWeights,mt as fetchOrThrow,ki as fetchVideo,k as getContext2dOrThrow,Bt as getMediaDimensions,Pr as imageTensorToCanvas,Fr as imageToSquare,On as inverseSigmoid,br as iou,Qe as isMediaElement,he as isMediaLoaded,yf as isWithAge,tt as isWithFaceDetection,Ar as isWithFaceExpressions,Yt as isWithFaceLandmarks,Pf as isWithGender,Jd as loadAgeGenderModel,qd as loadFaceDetectionModel,Xd as loadFaceExpressionModel,Gd as loadFaceLandmarkModel,jd as loadFaceLandmarkTinyModel,Ud as loadFaceRecognitionModel,en as loadSsdMobilenetv1Model,Vd as loadTinyFaceDetectorModel,Yd as loadTinyYolov2Model,Mr as loadWeightMap,Zd as locateFaces,Vi as matchDimensions,gr as minBbox,T as nets,xr as nonMaxSuppression,X as normalize,vr as padToSquare,zd as predictAgeAndGender,Hd as recognizeFaceExpressions,on as resizeResults,Wt as resolveInput,Rn as shuffleArray,fe as sigmoid,Qo as ssdMobilenetv1,n as tf,Bd as tinyFaceDetector,Rd as tinyYolov2,M as toNetInput,hr as utils,co as validateConfig,Nb as version}; +var lr=Object.defineProperty;var bo=Object.getOwnPropertyDescriptor;var go=Object.getOwnPropertyNames;var xo=Object.prototype.hasOwnProperty;var vo=(o=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(o,{get:(t,e)=>(typeof require!="undefined"?require:t)[e]}):o)(function(o){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+o+'" is not supported')});var Ve=(o,t)=>{for(var e in t)lr(o,e,{get:t[e],enumerable:!0})},fr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let a of go(t))!xo.call(o,a)&&a!==e&&lr(o,a,{get:()=>t[a],enumerable:!(r=bo(t,a))||r.enumerable});return o},P=(o,t,e)=>(fr(o,t,"default"),e&&fr(e,t,"default"));var n={};Ve(n,{version:()=>Po});P(n,mn);P(n,pn);P(n,un);import*as mn from"@tensorflow/tfjs/dist/index.js";import*as pn from"@tensorflow/tfjs-backend-webgl/dist/index.js";import*as un from"@tensorflow/tfjs-backend-wasm/dist/index.js";var dr="4.2.0",yo="4.2.0",_o="4.2.0",To="4.2.0",wo="4.2.0",Po={tfjs:dr,"tfjs-core":dr,"tfjs-converter":yo,"tfjs-backend-cpu":_o,"tfjs-backend-webgl":To,"tfjs-backend-wasm":wo};var Wr={};Ve(Wr,{AnchorPosition:()=>Ke,DrawBox:()=>ee,DrawBoxOptions:()=>de,DrawFaceLandmarks:()=>De,DrawFaceLandmarksOptions:()=>Fe,DrawTextField:()=>et,DrawTextFieldOptions:()=>kt,drawContour:()=>Z,drawDetections:()=>No,drawFaceExpressions:()=>So,drawFaceLandmarks:()=>Ao});function Z(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:a},s)=>{let i=t[s];o.moveTo(i.x,i.y),o.lineTo(r,a)}),e){let r=t[t.length-1],a=t[0];if(!r||!a)return;o.moveTo(r.x,r.y),o.lineTo(a.x,a.y)}o.stroke()}var hr={};Ve(hr,{computeReshapedDimensions:()=>je,getCenterPoint:()=>yt,isDimensions:()=>ue,isEven:()=>pe,isFloat:()=>Ge,isTensor:()=>xt,isTensor1D:()=>Fo,isTensor2D:()=>Ye,isTensor3D:()=>K,isTensor4D:()=>R,isValidNumber:()=>G,isValidProbablitiy:()=>It,range:()=>U,round:()=>vt});var S=class{constructor(t,e){if(!G(t)||!G(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new S(1/this.width,1/this.height)}};function xt(o,t){return o instanceof n.Tensor&&o.shape.length===t}function Fo(o){return xt(o,1)}function Ye(o){return xt(o,2)}function K(o){return xt(o,3)}function R(o){return xt(o,4)}function Ge(o){return o%1!==0}function pe(o){return o%2===0}function vt(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ue(o){return o&&o.width&&o.height}function je({width:o,height:t},e){let r=e/Math.max(t,o);return new S(Math.round(o*r),Math.round(t*r))}function yt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function U(o,t,e){return Array(o).fill(0).map((r,a)=>t+a*e)}function G(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function It(o){return G(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var F=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(G)}static assertIsValidBox(t,e,r=!1){if(!F.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},a=[r.left,r.top,r.right,r.bottom].every(G),s=[r.x,r.y,r.width,r.height].every(G);if(!s&&!a)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[i,c,m,p]=s?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];F.assertIsValidBox({x:i,y:c,width:m,height:p},"Box.constructor",e),this._x=i,this._y=c,this._width=m,this._height=p}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new F({x:t,y:e,width:r,height:a})}floor(){let[t,e,r,a]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new F({x:t,y:e,width:r,height:a})}toSquare(){let{x:t,y:e,width:r,height:a}=this,s=Math.abs(r-a);return re&&(c=-f+e+r,f=e),l>t&&(m=-l+t+a,l=t),p<1&&(m=2-p,p=1),u<1&&(m=2-u,u=1),{dy:i,edy:m,dx:s,edx:c,y:u,ey:l,x:p,ex:f,w:r,h:a}}calibrate(t){return new F({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Nt=class extends F{constructor(t,e,r,a,s=!1){super({left:t,top:e,right:r,bottom:a},s)}};var ct=class{constructor(t,e,r,a,s){this._imageDims=new S(s.width,s.height),this._score=t,this._classScore=e,this._className=r,this._box=new F(a).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new F(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new ct(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var E=class extends ct{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:a,imageDims:s}=super.forSize(t,e);return new E(r,a,s)}};function br(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),a=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),s=r*a;return e?s/(o.area+t.area-s):s/Math.min(o.area,t.area)}function gr(o){let t=o.map(c=>c.x),e=o.map(c=>c.y),r=t.reduce((c,m)=>mmcc({score:i,boxIndex:c})).sort((i,c)=>i.score-c.score).map(i=>i.boxIndex),s=[];for(;a.length>0;){let i=a.pop();s.push(i);let c=a,m=[];for(let p=0;pm[u]<=e)}return s}function X(o,t){return n.tidy(()=>{let[e,r,a]=t,s=n.fill([...o.shape.slice(0,3),1],e,"float32"),i=n.fill([...o.shape.slice(0,3),1],r,"float32"),c=n.fill([...o.shape.slice(0,3),1],a,"float32"),m=n.concat([s,i,c],3);return n.sub(o,m)})}function vr(o,t=!1){return n.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let a=Math.abs(e-r),s=Math.round(a*(t?.5:1)),i=e>r?2:1,c=l=>{let d=o.shape.slice();return d[i]=l,n.fill(d,0,"float32")},m=c(s),p=a-m.shape[i],f=[t&&p?c(p):null,o,m].filter(l=>!!l).map(l=>n.cast(l,"float32"));return n.concat(f,i)})}function Rn(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),a=t[e];t[e]=t[r],t[r]=a}return t}function fe(o){return 1/(1+Math.exp(-o))}function On(o){return Math.log(o/(1-o))}var St=class extends F{constructor(t,e,r,a,s=!1){super({x:t,y:e,width:r,height:a},s)}};var Do=.5,Eo=.43,Mo=.45,$=class{constructor(t,e,r=new g(0,0)){let{width:a,height:s}=e;this._imgDims=new S(a,s),this._shift=r,this._positions=t.map(i=>i.mul(new g(a,s)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let s=t instanceof E?t.box.floor():new F(t);return this.shiftBy(s.x,s.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:a}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(a)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,a]=t,s=f=>a.sub(f).magnitude(),i=(s(e)+s(r))/2,c=Math.floor(i/Mo),m=yt(t),p=Math.floor(Math.max(0,m.x-Do*c)),u=Math.floor(Math.max(0,m.y-Eo*c));return new St(p,u,Math.min(c,this.imageWidth+p),Math.min(c,this.imageHeight+u))}alignMinBbox(t){let e=gr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var yr=class extends ${getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],yt([t[3],t[4]])]}};var Lt=class extends ${getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(yt)}};var Kt=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${vt(this.distance)})`:""}`}};var Qt=class extends F{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(F.assertIsValidBox(e,r),!G(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var Q=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new Q(t.label,e)}};var _r=class extends Qt{constructor(e,r,a,s){super(e,r);this._score=a,this._classScore=s}static assertIsValidPredictedBox(e,r){if(Qt.assertIsValidLabeledBox(e,r),!It(e.score)||!It(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function tt(o){return o.detection instanceof E}function At(o,t){return{...o,...{detection:t}}}function Ue(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function te(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function le(o){let t="";if(!o&&te())try{o=vo("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((a,s)=>{o.readFile(r,(i,c)=>i?s(i):a(c))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Xe(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},a=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,c=le();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:a,createVideoElement:s,fetch:i,...c}}function Je(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var C;function Co(){if(!C)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return C}function qe(o){C=o}function Ze(){return Je()?qe(Ue()):te()?qe(Xe()):null}function Io(o){if(C||Ze(),!C)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=C.Canvas,Image:e=C.Image}=o;C.Canvas=t,C.Image=e,C.createCanvasElement=o.createCanvasElement||(()=>new t),C.createImageElement=o.createImageElement||(()=>new e),C.ImageData=o.ImageData||C.ImageData,C.Video=o.Video||C.Video,C.fetch=o.fetch||C.fetch,C.readFile=o.readFile||C.readFile}var _={getEnv:Co,setEnv:qe,initialize:Ze,createBrowserEnv:Ue,createFileSystem:le,createNodejsEnv:Xe,monkeyPatch:Io,isBrowser:Je,isNodejs:te};Ze();function Wt(o){return!_.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function k(o){let{Canvas:t,CanvasRenderingContext2D:e}=_.getEnv();if(o instanceof e)return o;let r=Wt(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let a=r.getContext("2d");if(!a)throw new Error("resolveContext2d - canvas 2d context is null");return a}var Ke=(a=>(a.TOP_LEFT="TOP_LEFT",a.TOP_RIGHT="TOP_RIGHT",a.BOTTOM_LEFT="BOTTOM_LEFT",a.BOTTOM_RIGHT="BOTTOM_RIGHT",a))(Ke||{}),kt=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:a,fontSize:s,fontStyle:i,padding:c}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=a||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=c||4}},et=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof et?t.text:t,this.anchor=e,this.options=new kt(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,a)=>r{let b=m+f.x,x=m+f.y+(d+1)*i;r.fillText(l,b,x)})}};var de=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:a,drawLabelOptions:s}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=a;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new kt({...i,...s})}},ee=class{constructor(t,e={}){this.box=new F(t),this.options=new de(e)}draw(t){let e=k(t),{boxColor:r,lineWidth:a}=this.options,{x:s,y:i,width:c,height:m}=this.box;e.strokeStyle=r,e.lineWidth=a,e.strokeRect(s,i,c,m);let{label:p}=this.options;p&&new et([p],{x:s-a/2,y:i},this.options.drawLabelOptions).draw(t)}};function No(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof E?r.score:tt(r)?r.detection.score:void 0,s=r instanceof E?r.box:tt(r)?r.detection.box:new F(r),i=a?`${vt(a)}`:void 0;new ee(s,{label:i}).draw(o)})}function he(o){let{Image:t,Video:e}=_.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function Tr(o){return new Promise((t,e)=>{(o instanceof _.getEnv().Canvas||he(o))&&t(null);function r(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),e(s))}function a(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",a),s.currentTarget.removeEventListener("error",r),t(s))}o.addEventListener("load",a),o.addEventListener("error",r)})}function wr(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let a=_.getEnv().createImageElement();a.onload=()=>t(a),a.onerror=e,a.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Bt(o){let{Image:t,Video:e}=_.getEnv();return o instanceof t?new S(o.naturalWidth,o.naturalHeight):o instanceof e?new S(o.videoWidth,o.videoHeight):new S(o.width,o.height)}function Rt({width:o,height:t}){let{createCanvasElement:e}=_.getEnv(),r=e();return r.width=o,r.height=t,r}function be(o,t){let{ImageData:e}=_.getEnv();if(!(o instanceof e)&&!he(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:a}=t||Bt(o),s=Rt({width:r,height:a});return o instanceof e?k(s).putImageData(o,0,0):k(s).drawImage(o,0,0,r,a),s}async function Pr(o,t){let e=t||_.getEnv().createCanvasElement(),[r,a,s]=o.shape.slice(R(o)?1:0),i=n.tidy(()=>o.as3D(r,a,s).toInt());return await n.browser.toPixels(i,e),i.dispose(),e}function Qe(o){let{Image:t,Canvas:e,Video:r}=_.getEnv();return o instanceof t||o instanceof e||o instanceof r}function Fr(o,t,e=!1){let{Image:r,Canvas:a}=_.getEnv();if(!(o instanceof r||o instanceof a))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Rt({width:1,height:1});let s=Bt(o),i=t/Math.max(s.height,s.width),c=i*s.width,m=i*s.height,p=Rt({width:t,height:t}),u=o instanceof a?o:be(o),f=Math.abs(c-m)/2,l=e&&c0&&u.height>0&&k(p).drawImage(u,l,d,c,m),p}var rt=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,a)=>{if(K(r)){this._imageTensors[a]=r,this._inputDimensions[a]=r.shape;return}if(R(r)){let i=r.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[a]=r,this._inputDimensions[a]=r.shape.slice(1);return}let s=r instanceof _.getEnv().Canvas?r:be(r);this._canvases[a]=s,this._inputDimensions[a]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return U(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return je({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,n.tidy(()=>{let r=U(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof n.Tensor){let c=R(i)?i:n.expandDims(i);return c=vr(c,e),(c.shape[1]!==t||c.shape[2]!==t)&&(c=n.image.resizeBilinear(c,[t,t],!1,!1)),c.as3D(t,t,3)}if(i instanceof _.getEnv().Canvas)return n.browser.fromPixels(Fr(i,t,e));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return n.stack(r.map(s=>n.cast(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function M(o){if(o instanceof rt)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=a=>Array.isArray(o)?` at input index ${a}:`:"",r=t.map(Wt);return r.forEach((a,s)=>{if(!Qe(a)&&!K(a)&&!R(a))throw typeof t[s]=="string"?new Error(`toNetInput -${e(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${e(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(R(a)){let i=a.shape[0];if(i!==1)throw new Error(`toNetInput -${e(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(r.map(a=>Qe(a)&&Tr(a))),new rt(r,Array.isArray(o))}async function re(o,t){let{Canvas:e}=_.getEnv(),r=o;if(!(o instanceof e)){let i=await M(o);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let c=i.getInput(0);r=c instanceof e?c:await Pr(c)}let a=k(r);return t.map(i=>i instanceof E?i.forSize(r.width,r.height).box.floor():i).map(i=>i.clipAtImageBorders(r.width,r.height)).map(({x:i,y:c,width:m,height:p})=>{let u=Rt({width:m,height:p});return m>0&&p>0&&k(u).putImageData(a.getImageData(i,c,m,p),0,0),u})}async function oe(o,t){if(!K(o)&&!R(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(R(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return n.tidy(()=>{let[e,r,a]=o.shape.slice(R(o)?1:0);return t.map(c=>c instanceof E?c.forSize(r,e).box:c).map(c=>c.clipAtImageBorders(r,e)).filter(c=>c.width>0&&c.height>0).map(({x:c,y:m,width:p,height:u})=>n.slice3d(o.as3D(e,r,a),[m,c,0],[u,p,a]))})}async function mt(o,t){let{fetch:e}=_.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Fi(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return wr(e)}async function Dr(o){return(await mt(o)).json()}async function Ii(o){return new Float32Array(await(await mt(o)).arrayBuffer())}function Er(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=_.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function ki(o){let t=await mt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Er(e)}function ge(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let a=o.split("/").filter(c=>c),s=o.endsWith(".json")?a[a.length-1]:e,i=r+(o.endsWith(".json")?a.slice(0,a.length-1):a).join("/");return i=o.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function Mr(o,t){let{manifestUri:e,modelBaseUri:r}=ge(o,t),a=await Dr(e);return n.io.loadWeights(a,r)}function Vi(o,t,e=!1){let{width:r,height:a}=e?Bt(t):t;return o.width=r,o.height=a,{width:r,height:a}}var I=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:a}=this.traversePropertyPath(t);r[a].dispose(),r[a]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof n.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof n.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=n.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await Mr(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=_.getEnv(),{manifestUri:r,modelBaseUri:a}=ge(t,this.getDefaultModelName()),s=p=>Promise.all(p.map(u=>e(u).then(f=>f.buffer))),i=n.io.weightsLoaderFactory(s),c=JSON.parse((await e(r)).toString()),m=await i(c,a);this.loadFromWeightMap(m)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:r,objProp:a}=e;if(!r||!a||!(r[a]instanceof n.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:a}}};function W(o,t,e){return n.tidy(()=>{let r=n.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=n.add(r,t.bias),r})}function xe(o,t,e=!1){return n.tidy(()=>{let r=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):W(o,t.conv0,[2,2])),a=W(r,t.conv1,[1,1]),s=n.relu(n.add(r,a)),i=W(s,t.conv2,[1,1]);return n.relu(n.add(r,n.add(a,i)))})}function ne(o,t,e=!1,r=!0){return n.tidy(()=>{let a=n.relu(e?n.add(n.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):W(o,t.conv0,r?[2,2]:[1,1])),s=W(a,t.conv1,[1,1]),i=n.relu(n.add(a,s)),c=W(i,t.conv2,[1,1]),m=n.relu(n.add(a,n.add(s,c))),p=W(m,t.conv3,[1,1]);return n.relu(n.add(a,n.add(s,n.add(c,p))))})}function _t(o,t,e="same",r=!1){return n.tidy(()=>{let a=n.add(n.conv2d(o,t.filters,[1,1],e),t.bias);return r?n.relu(a):a})}function L(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}function $t(o,t){return(e,r,a,s)=>{let i=n.tensor4d(o(e*r*a*a),[a,a,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:c}}}function ve(o,t){return(e,r,a)=>{let s=n.tensor2d(o(e*r),[e,r]),i=n.tensor1d(o(r));return t.push({paramPath:`${a}/weights`},{paramPath:`${a}/bias`}),{weights:s,bias:i}}}var ae=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function Ot(o,t){return(e,r,a)=>{let s=n.tensor4d(o(9*e),[3,3,e,1]),i=n.tensor4d(o(e*r),[1,1,e,r]),c=n.tensor1d(o(r));return t.push({paramPath:`${a}/depthwise_filter`},{paramPath:`${a}/pointwise_filter`},{paramPath:`${a}/bias`}),new ae(s,i,c)}}function Ht(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),a=o(`${t}/bias`,1);return new ae(e,r,a)}}function B(o,t){return(e,r,a)=>{let s=o[e];if(!xt(s,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${s}`);return t.push({originalPath:e,paramPath:a||e}),s}}function A(o){let t=o;function e(a){let s=t.slice(0,a);return t=t.slice(a),s}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function ye(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m,p=!1){let u=p?e(i,c,3,`${m}/conv0`):r(i,c,`${m}/conv0`),f=r(c,c,`${m}/conv1`),l=r(c,c,`${m}/conv2`);return{conv0:u,conv1:f,conv2:l}}function s(i,c,m,p=!1){let{conv0:u,conv1:f,conv2:l}=a(i,c,m,p),d=r(c,c,`${m}/conv3`);return{conv0:u,conv1:f,conv2:l,conv3:d}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Cr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock4Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2"),m=a(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c,dense3:m}}}function _e(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function Te(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function i(c,m=!1){let p=m?r(`${c}/conv0`):a(`${c}/conv0`),u=a(`${c}/conv1`),f=a(`${c}/conv2`),l=a(`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function Ir(o){let t=[],{extractDenseBlock4Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return L(o,t),{params:r,paramMappings:t}}var zt=class extends I{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=ne(s,e.dense0,!0);return i=ne(i,e.dense1),i=ne(i,e.dense2),i=ne(i,e.dense3),i=n.avgPool(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Ir(t)}extractParams(t){return Cr(t)}};function se(o,t){return n.tidy(()=>n.add(n.matMul(o,t.weights),t.bias))}function Nr(o,t,e){let r=[],{extractWeights:a,getRemainingWeights:s}=A(o),c=ve(a,r)(t,e,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:r,params:{fc:c}}}function Sr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:r("fc")};return L(o,t),{params:a,paramMappings:t}}function we(o){let t={},e={};return Object.keys(o).forEach(r=>{let a=r.startsWith("fc")?e:t;a[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Vt=class extends I{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e;return se(a.as2D(a.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Nr(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=we(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Sr(a)}extractParams(e){let r=this.getClassifierChannelsIn(),a=this.getClassifierChannelsOut(),s=a*r+a,i=e.slice(0,e.length-s),c=e.slice(e.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(c)}};var Lr=["neutral","happy","sad","angry","fearful","disgusted","surprised"],pt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);Lr.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return Lr.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Pe=class extends Vt{constructor(t=new zt){super("FaceExpressionNet",t)}forwardInput(t){return n.tidy(()=>n.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await M(t))}async predictExpressions(t){let e=await M(t),r=await this.forwardInput(e),a=await Promise.all(n.unstack(r).map(async i=>{let c=i.dataSync();return i.dispose(),c}));r.dispose();let s=a.map(i=>new pt(i));return e.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function Ar(o){return o.expressions instanceof pt}function tr(o,t){return{...o,...{expressions:t}}}function So(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof pt?s:Ar(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let m=i.asSortedArray().filter(f=>f.probability>e),p=tt(s)?s.detection.box.bottomLeft:r||new g(0,0);new et(m.map(f=>`${f.expression} (${vt(f.probability)})`),p).draw(o)})}function Yt(o){return tt(o)&&o.landmarks instanceof $&&o.unshiftedLandmarks instanceof $&&o.alignedRect instanceof E}function Lo(o){let t=m=>m*180/Math.PI,e=(m,p)=>Math.sqrt((m._x-p._x)**2+(m._y-p._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},a=(m,p,u)=>{let f=Math.floor(m._x-p._x),l=Math.floor(p._x-u._x);return f-l},s=(m,p)=>{let u=Math.hypot(p._x-m._x,p._y-m._y),f=p._y-m._y,l=Math.asin(f/u),d=t(l),b=Math.floor(90-d),x=p._x-m._x<0?-1:1;return b*x},i=(m,p,u)=>{let f=e(m,u),l={_x:(m._x+u._x)/2,_y:(m._y+u._y)/2},d=e(p,l),b=Math.atan(d/f),x=Math.floor(t(b)),w=l._y-p._y<0?-1:1;return x*w};if(!o||!o._positions||o._positions.length!==68)return r;let c=o._positions;return r.roll=s(c[27],c[66]),r.pitch=i(c[14],c[30],c[2]),r.yaw=a(c[14],c[33],c[2]),r}function ie(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),a=r.align(),{imageDims:s}=o.detection,i=new E(o.detection.score,a.rescale(s.reverse()),s),c=Lo(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:i,angle:c}}}var Fe=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=a||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=c||"rgba(255, 0, 255, 1)"}},De=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new Fe(e)}draw(t){let e=k(t),{drawLines:r,drawPoints:a,lineWidth:s,lineColor:i,pointSize:c,pointColor:m}=this.options;if(r&&this.faceLandmarks instanceof Lt&&(e.strokeStyle=i,e.lineWidth=s,Z(e,this.faceLandmarks.getJawOutline()),Z(e,this.faceLandmarks.getLeftEyeBrow()),Z(e,this.faceLandmarks.getRightEyeBrow()),Z(e,this.faceLandmarks.getNose()),Z(e,this.faceLandmarks.getLeftEye(),!0),Z(e,this.faceLandmarks.getRightEye(),!0),Z(e,this.faceLandmarks.getMouth(),!0)),a){e.strokeStyle=m,e.fillStyle=m;let p=u=>{e.beginPath(),e.arc(u.x,u.y,c,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(p)}}};function Ao(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let a=r instanceof $?r:Yt(r)?r.landmarks:void 0;if(!a)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new De(a).draw(o)})}var kr="1.7.8";function Bo(o,t){let e=$t(o,t),r=Ot(o,t);function a(i,c,m){let p=r(i,c,`${m}/separable_conv0`),u=r(c,c,`${m}/separable_conv1`),f=e(i,c,1,`${m}/expansion_conv`);return{separable_conv0:p,separable_conv1:u,expansion_conv:f}}function s(i,c){let m=r(i,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=r(i,i,`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:a,extractMainBlockParams:s}}function Br(o,t){let e=[],{extractWeights:r,getRemainingWeights:a}=A(o),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:c,extractMainBlockParams:m}=Bo(r,e),p=s(3,32,3,"entry_flow/conv_in"),u=c(32,64,"entry_flow/reduction_block_0"),f=c(64,128,"entry_flow/reduction_block_1"),l={conv_in:p,reduction_block_0:u,reduction_block_1:f},d={};U(t,0,1).forEach(h=>{d[`main_block_${h}`]=m(128,`middle_flow/main_block_${h}`)});let b=c(128,256,"exit_flow/reduction_block"),x=i(256,512,"exit_flow/separable_conv"),w={reduction_block:b,separable_conv:x};if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:e,params:{entry_flow:l,middle_flow:d,exit_flow:w}}}function Ro(o,t){let e=B(o,t),r=_e(e),a=Ht(e);function s(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=r(`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function i(c){let m=a(`${c}/separable_conv0`),p=a(`${c}/separable_conv1`),u=a(`${c}/separable_conv2`);return{separable_conv0:m,separable_conv1:p,separable_conv2:u}}return{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}}function Rr(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:a,extractReductionBlockParams:s,extractMainBlockParams:i}=Ro(o,e),c=r("entry_flow/conv_in"),m=s("entry_flow/reduction_block_0"),p=s("entry_flow/reduction_block_1"),u={conv_in:c,reduction_block_0:m,reduction_block_1:p},f={};U(t,0,1).forEach(x=>{f[`main_block_${x}`]=i(`middle_flow/main_block_${x}`)});let l=s("exit_flow/reduction_block"),d=a("exit_flow/separable_conv"),b={reduction_block:l,separable_conv:d};return L(o,e),{params:{entry_flow:u,middle_flow:f,exit_flow:b},paramMappings:e}}function $r(o,t,e){return n.add(n.conv2d(o,t.filters,e,"same"),t.bias)}function er(o,t,e=!0){let r=e?n.relu(o):o;return r=W(r,t.separable_conv0,[1,1]),r=W(n.relu(r),t.separable_conv1,[1,1]),r=n.maxPool(r,[3,3],[2,2],"same"),r=n.add(r,$r(o,t.expansion_conv,[2,2])),r}function $o(o,t){let e=W(n.relu(o),t.separable_conv0,[1,1]);return e=W(n.relu(e),t.separable_conv1,[1,1]),e=W(n.relu(e),t.separable_conv2,[1,1]),e=n.add(e,o),e}var Ee=class extends I{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return n.tidy(()=>{let a=n.cast(e.toBatchTensor(112,!0),"float32"),i=X(a,[122.782,117.001,104.298]).div(255),c=n.relu($r(i,r.entry_flow.conv_in,[2,2]));return c=er(c,r.entry_flow.reduction_block_0,!1),c=er(c,r.entry_flow.reduction_block_1),U(this._numMainBlocks,0,1).forEach(m=>{c=$o(c,r.middle_flow[`main_block_${m}`])}),c=er(c,r.exit_flow.reduction_block),c=n.relu(W(c,r.exit_flow.separable_conv,[1,1])),c})}async forward(e){return this.forwardInput(await M(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Rr(e,this._numMainBlocks)}extractParams(e){return Br(e,this._numMainBlocks)}};function Or(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),a=ve(e,t),s=a(512,1,"fc/age"),i=a(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function Hr(o){let t=[],e=B(o,t);function r(s){let i=e(`${s}/weights`,2),c=e(`${s}/bias`,1);return{weights:i,bias:c}}let a={fc:{age:r("fc/age"),gender:r("fc/gender")}};return L(o,t),{params:a,paramMappings:t}}var rr=(e=>(e.FEMALE="female",e.MALE="male",e))(rr||{});var Me=class extends I{constructor(e=new Ee(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return n.tidy(()=>{let a=e instanceof rt?this.faceFeatureExtractor.forwardInput(e):e,s=n.avgPool(a,[7,7],[2,2],"valid").as2D(a.shape[0],-1),i=se(s,r.fc.age).as1D(),c=se(s,r.fc.gender);return{age:i,gender:c}})}forwardInput(e){return n.tidy(()=>{let{age:r,gender:a}=this.runNet(e);return{age:r,gender:n.softmax(a)}})}async forward(e){return this.forwardInput(await M(e))}async predictAgeAndGender(e){let r=await M(e),a=await this.forwardInput(r),s=n.unstack(a.age),i=n.unstack(a.gender),c=s.map((p,u)=>({ageTensor:p,genderTensor:i[u]})),m=await Promise.all(c.map(async({ageTensor:p,genderTensor:u})=>{let f=p.dataSync()[0],l=u.dataSync()[0],d=l>.5,b=d?"male":"female",x=d?l:1-l;return p.dispose(),u.dispose(),{age:f,gender:b,genderProbability:x}}));return a.age.dispose(),a.gender.dispose(),r.isBatchInput?m:m[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:a}=this.extractClassifierParams(e);this._params=r,this._paramMappings=a}extractClassifierParams(e){return Or(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:a}=we(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Hr(a)}extractParams(e){let a=e.slice(0,e.length-1539),s=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(a),this.extractClassifierParams(s)}};var Gt=class extends Vt{postProcess(t,e,r){let a=r.map(({width:i,height:c})=>{let m=e/Math.max(c,i);return{width:i*m,height:c*m}}),s=a.length;return n.tidy(()=>{let i=(f,l)=>n.stack([n.fill([68],f,"float32"),n.fill([68],l,"float32")],1).as2D(1,136).as1D(),c=(f,l)=>{let{width:d,height:b}=a[f];return l(d,b)?Math.abs(d-b)/2:0},m=f=>c(f,(l,d)=>lc(f,(l,d)=>di(m(l),p(l))))).div(n.stack(Array.from(Array(s),(f,l)=>i(a[l].width,a[l].height))))})}forwardInput(t){return n.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,a])=>({height:r,width:a})))})}async forward(t){return this.forwardInput(await M(t))}async detectLandmarks(t){let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(async(s,i)=>{let c=Array.from(s.dataSync()),m=c.filter((u,f)=>pe(f)),p=c.filter((u,f)=>!pe(f));return new Lt(Array(68).fill(0).map((u,f)=>new g(m[f],p[f])),{height:e.getInputHeight(i),width:e.getInputWidth(i)})}));return r.forEach(s=>s.dispose()),e.isBatchInput?a:a[0]}getClassifierChannelsOut(){return 136}};var jt=class extends Gt{constructor(t=new zt){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function zr(o){let t=[],{extractDenseBlock3Params:e}=Te(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return L(o,t),{params:r,paramMappings:t}}function Vr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractDenseBlock3Params:a}=ye(e,t),s=a(3,32,"dense0",!0),i=a(32,64,"dense1"),c=a(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:c}}}var Ce=class extends I{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(112,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=xe(s,e.dense0,!0);return i=xe(i,e.dense1),i=xe(i,e.dense2),i=n.avgPool(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await M(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return zr(t)}extractParams(t){return Vr(t)}};var Ie=class extends Gt{constructor(t=new Ce){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var Yr=class extends jt{};function Gr(o,t){return n.add(n.mul(o,t.weights),t.biases)}function or(o,t,e,r,a="same"){let{filters:s,bias:i}=t.conv,c=n.conv2d(o,s,e,a);return c=n.add(c,i),c=Gr(c,t.scale),r?n.relu(c):c}function jr(o,t){return or(o,t,[1,1],!0)}function nr(o,t){return or(o,t,[1,1],!1)}function Ne(o,t){return or(o,t,[2,2],!0,"valid")}function Oo(o,t){function e(c,m,p){let u=o(c),f=u.length/(m*p*p);if(Ge(f))throw new Error(`depth has to be an integer: ${f}, weights.length: ${u.length}, numFilters: ${m}, filterSize: ${p}`);return n.tidy(()=>n.transpose(n.tensor4d(u,[m,f,p,p]),[2,3,1,0]))}function r(c,m,p,u){let f=e(c,m,p),l=n.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/bias`}),{filters:f,bias:l}}function a(c,m){let p=n.tensor1d(o(c)),u=n.tensor1d(o(c));return t.push({paramPath:`${m}/weights`},{paramPath:`${m}/biases`}),{weights:p,biases:u}}function s(c,m,p,u){let f=r(c,m,p,`${u}/conv`),l=a(m,`${u}/scale`);return{conv:f,scale:l}}function i(c,m,p,u,f=!1){let l=s((f?.5:1)*c,m,p,`${u}/conv1`),d=s(c,m,p,`${u}/conv2`);return{conv1:l,conv2:d}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function Ur(o){let{extractWeights:t,getRemainingWeights:e}=A(o),r=[],{extractConvLayerParams:a,extractResidualLayerParams:s}=Oo(t,r),i=a(4704,32,7,"conv32_down"),c=s(9216,32,3,"conv32_1"),m=s(9216,32,3,"conv32_2"),p=s(9216,32,3,"conv32_3"),u=s(36864,64,3,"conv64_down",!0),f=s(36864,64,3,"conv64_1"),l=s(36864,64,3,"conv64_2"),d=s(36864,64,3,"conv64_3"),b=s(147456,128,3,"conv128_down",!0),x=s(147456,128,3,"conv128_1"),w=s(147456,128,3,"conv128_2"),h=s(589824,256,3,"conv256_down",!0),y=s(589824,256,3,"conv256_1"),v=s(589824,256,3,"conv256_2"),D=s(589824,256,3,"conv256_down_out"),N=n.tidy(()=>n.transpose(n.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:i,conv32_1:c,conv32_2:m,conv32_3:p,conv64_down:u,conv64_1:f,conv64_2:l,conv64_3:d,conv128_down:b,conv128_1:x,conv128_2:w,conv256_down:h,conv256_1:y,conv256_2:v,conv256_down_out:D,fc:N},paramMappings:r}}function Ho(o,t){let e=B(o,t);function r(i){let c=e(`${i}/scale/weights`,1),m=e(`${i}/scale/biases`,1);return{weights:c,biases:m}}function a(i){let c=e(`${i}/conv/filters`,4),m=e(`${i}/conv/bias`,1),p=r(i);return{conv:{filters:c,bias:m},scale:p}}function s(i){return{conv1:a(`${i}/conv1`),conv2:a(`${i}/conv2`)}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Xr(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=Ho(o,t),a=e("conv32_down"),s=r("conv32_1"),i=r("conv32_2"),c=r("conv32_3"),m=r("conv64_down"),p=r("conv64_1"),u=r("conv64_2"),f=r("conv64_3"),l=r("conv128_down"),d=r("conv128_1"),b=r("conv128_2"),x=r("conv256_down"),w=r("conv256_1"),h=r("conv256_2"),y=r("conv256_down_out"),{fc:v}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Ye(v))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${v}`);let D={conv32_down:a,conv32_1:s,conv32_2:i,conv32_3:c,conv64_down:m,conv64_1:p,conv64_2:u,conv64_3:f,conv128_down:l,conv128_1:d,conv128_2:b,conv256_down:x,conv256_1:w,conv256_2:h,conv256_down_out:y,fc:v};return L(o,t),{params:D,paramMappings:t}}function j(o,t){let e=jr(o,t.conv1);return e=nr(e,t.conv2),e=n.add(e,o),e=n.relu(e),e}function ce(o,t){let e=Ne(o,t.conv1);e=nr(e,t.conv2);let r=n.avgPool(o,2,2,"valid"),a=n.zeros(r.shape),s=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let c=[...e.shape];c[1]=1;let m=n.zeros(c);e=n.concat([e,m],1);let p=[...e.shape];p[2]=1;let u=n.zeros(p);e=n.concat([e,u],2)}return r=s?n.concat([r,a],3):r,e=n.add(r,e),e=n.relu(e),e}var Ut=class extends I{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(150,!0),"float32"),s=X(r,[122.782,117.001,104.298]).div(255),i=Ne(s,e.conv32_down);i=n.maxPool(i,3,2,"valid"),i=j(i,e.conv32_1),i=j(i,e.conv32_2),i=j(i,e.conv32_3),i=ce(i,e.conv64_down),i=j(i,e.conv64_1),i=j(i,e.conv64_2),i=j(i,e.conv64_3),i=ce(i,e.conv128_down),i=j(i,e.conv128_1),i=j(i,e.conv128_2),i=ce(i,e.conv256_down),i=j(i,e.conv256_1),i=j(i,e.conv256_2),i=ce(i,e.conv256_down_out);let c=i.mean([1,2]);return n.matMul(c,e.fc)})}async forward(t){return this.forwardInput(await M(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let e=await M(t),r=n.tidy(()=>n.unstack(this.forwardInput(e))),a=await Promise.all(r.map(i=>i.data()));return r.forEach(i=>i.dispose()),e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Xr(t)}extractParams(t){return Ur(t)}};function bf(o){let t=new Ut;return t.extractWeights(o),t}function ar(o,t){return{...o,...{descriptor:t}}}function yf(o){return typeof o.age=="number"}function sr(o,t){return{...o,...{age:t}}}function Pf(o){return(o.gender==="male"||o.gender==="female")&&It(o.genderProbability)}function ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}function zo(o,t){function e(m,p){let u=n.tensor4d(o(9*m),[3,3,m,1]),f=n.tensor1d(o(m)),l=n.tensor1d(o(m)),d=n.tensor1d(o(m)),b=n.tensor1d(o(m));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/batch_norm_scale`},{paramPath:`${p}/batch_norm_offset`},{paramPath:`${p}/batch_norm_mean`},{paramPath:`${p}/batch_norm_variance`}),{filters:u,batch_norm_scale:f,batch_norm_offset:l,batch_norm_mean:d,batch_norm_variance:b}}function r(m,p,u,f,l){let d=n.tensor4d(o(m*p*u*u),[u,u,m,p]),b=n.tensor1d(o(p));return t.push({paramPath:`${f}/filters`},{paramPath:`${f}/${l?"batch_norm_offset":"bias"}`}),{filters:d,bias:b}}function a(m,p,u,f){let{filters:l,bias:d}=r(m,p,u,f,!0);return{filters:l,batch_norm_offset:d}}function s(m,p,u){let f=e(m,`${u}/depthwise_conv`),l=a(m,p,1,`${u}/pointwise_conv`);return{depthwise_conv:f,pointwise_conv:l}}function i(){let m=a(3,32,3,"mobilenetv1/conv_0"),p=s(32,64,"mobilenetv1/conv_1"),u=s(64,128,"mobilenetv1/conv_2"),f=s(128,128,"mobilenetv1/conv_3"),l=s(128,256,"mobilenetv1/conv_4"),d=s(256,256,"mobilenetv1/conv_5"),b=s(256,512,"mobilenetv1/conv_6"),x=s(512,512,"mobilenetv1/conv_7"),w=s(512,512,"mobilenetv1/conv_8"),h=s(512,512,"mobilenetv1/conv_9"),y=s(512,512,"mobilenetv1/conv_10"),v=s(512,512,"mobilenetv1/conv_11"),D=s(512,1024,"mobilenetv1/conv_12"),N=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:b,conv_7:x,conv_8:w,conv_9:h,conv_10:y,conv_11:v,conv_12:D,conv_13:N}}function c(){let m=a(1024,256,1,"prediction_layer/conv_0"),p=a(256,512,3,"prediction_layer/conv_1"),u=a(512,128,1,"prediction_layer/conv_2"),f=a(128,256,3,"prediction_layer/conv_3"),l=a(256,128,1,"prediction_layer/conv_4"),d=a(128,256,3,"prediction_layer/conv_5"),b=a(256,64,1,"prediction_layer/conv_6"),x=a(64,128,3,"prediction_layer/conv_7"),w=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),y=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),v=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),D=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),N=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),Y=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),q=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),O=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),at=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),st=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),it=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:m,conv_1:p,conv_2:u,conv_3:f,conv_4:l,conv_5:d,conv_6:b,conv_7:x,box_predictor_0:{box_encoding_predictor:w,class_predictor:h},box_predictor_1:{box_encoding_predictor:y,class_predictor:v},box_predictor_2:{box_encoding_predictor:D,class_predictor:N},box_predictor_3:{box_encoding_predictor:Y,class_predictor:q},box_predictor_4:{box_encoding_predictor:O,class_predictor:at},box_predictor_5:{box_encoding_predictor:st,class_predictor:it}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:c}}function Jr(o){let t=[],{extractWeights:e,getRemainingWeights:r}=A(o),{extractMobilenetV1Params:a,extractPredictionLayerParams:s}=zo(e,t),i=a(),c=s(),p={extra_dim:n.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:i,prediction_layer:c,output_layer:p},paramMappings:t}}function Vo(o,t){let e=B(o,t);function r(p,u,f){let l=e(`${p}/Conv2d_${u}_pointwise/weights`,4,`${f}/filters`),d=e(`${p}/Conv2d_${u}_pointwise/convolution_bn_offset`,1,`${f}/batch_norm_offset`);return{filters:l,batch_norm_offset:d}}function a(p){let u=`mobilenetv1/conv_${p}`,f=`MobilenetV1/Conv2d_${p}_depthwise`,l=`${u}/depthwise_conv`,d=`${u}/pointwise_conv`,b=e(`${f}/depthwise_weights`,4,`${l}/filters`),x=e(`${f}/BatchNorm/gamma`,1,`${l}/batch_norm_scale`),w=e(`${f}/BatchNorm/beta`,1,`${l}/batch_norm_offset`),h=e(`${f}/BatchNorm/moving_mean`,1,`${l}/batch_norm_mean`),y=e(`${f}/BatchNorm/moving_variance`,1,`${l}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:x,batch_norm_offset:w,batch_norm_mean:h,batch_norm_variance:y},pointwise_conv:r("MobilenetV1",p,d)}}function s(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:a(1),conv_2:a(2),conv_3:a(3),conv_4:a(4),conv_5:a(5),conv_6:a(6),conv_7:a(7),conv_8:a(8),conv_9:a(9),conv_10:a(10),conv_11:a(11),conv_12:a(12),conv_13:a(13)}}function i(p,u){let f=e(`${p}/weights`,4,`${u}/filters`),l=e(`${p}/biases`,1,`${u}/bias`);return{filters:f,bias:l}}function c(p){let u=i(`Prediction/BoxPredictor_${p}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${p}/box_encoding_predictor`),f=i(`Prediction/BoxPredictor_${p}/ClassPredictor`,`prediction_layer/box_predictor_${p}/class_predictor`);return{box_encoding_predictor:u,class_predictor:f}}function m(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:c(0),box_predictor_1:c(1),box_predictor_2:c(2),box_predictor_3:c(3),box_predictor_4:c(4),box_predictor_5:c(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:m}}function qr(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=Vo(o,t),a=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!K(a))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${a}`);let s={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:a}};return L(o,t),{params:s,paramMappings:t}}function H(o,t,e){return n.tidy(()=>{let r=n.conv2d(o,t.filters,e,"same");return r=n.add(r,t.batch_norm_offset),n.clipByValue(r,0,6)})}var Yo=.0010000000474974513;function Go(o,t,e){return n.tidy(()=>{let r=n.depthwiseConv2d(o,t.filters,e,"same");return r=n.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Yo),n.clipByValue(r,0,6)})}function jo(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Zr(o,t){return n.tidy(()=>{let e,r=H(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let c=i+1,m=jo(c);r=Go(r,s.depthwise_conv,m),r=H(r,s.pointwise_conv,[1,1]),c===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function Uo(o,t,e){let r=o.arraySync(),a=Math.min(r[t][0],r[t][2]),s=Math.min(r[t][1],r[t][3]),i=Math.max(r[t][0],r[t][2]),c=Math.max(r[t][1],r[t][3]),m=Math.min(r[e][0],r[e][2]),p=Math.min(r[e][1],r[e][3]),u=Math.max(r[e][0],r[e][2]),f=Math.max(r[e][1],r[e][3]),l=(i-a)*(c-s),d=(u-m)*(f-p);if(l<=0||d<=0)return 0;let b=Math.max(a,m),x=Math.max(s,p),w=Math.min(i,u),h=Math.min(c,f),y=Math.max(w-b,0)*Math.max(h-x,0);return y/(l+d-y)}function Kr(o,t,e,r,a){let s=o.shape[0],i=Math.min(e,s),c=t.map((u,f)=>({score:u,boxIndex:f})).filter(u=>u.score>a).sort((u,f)=>f.score-u.score),m=u=>u<=r?1:0,p=[];return c.forEach(u=>{if(p.length>=i)return;let f=u.score;for(let l=p.length-1;l>=0;--l){let d=Uo(o,u.boxIndex,p[l]);if(d!==0&&(u.score*=m(d),u.score<=a))break}f===u.score&&p.push(u.boxIndex)}),p}function Xo(o){let t=n.unstack(n.transpose(o,[1,0])),e=[n.sub(t[2],t[0]),n.sub(t[3],t[1])],r=[n.add(t[0],n.div(e[0],2)),n.add(t[1],n.div(e[1],2))];return{sizes:e,centers:r}}function Jo(o,t){let{sizes:e,centers:r}=Xo(o),a=n.unstack(n.transpose(t,[1,0])),s=n.div(n.mul(n.exp(n.div(a[2],5)),e[0]),2),i=n.add(n.mul(n.div(a[0],10),e[0]),r[0]),c=n.div(n.mul(n.exp(n.div(a[3],5)),e[1]),2),m=n.add(n.mul(n.div(a[1],10),e[1]),r[1]);return n.transpose(n.stack([n.sub(i,s),n.sub(m,c),n.add(i,s),n.add(m,c)]),[1,0])}function Qr(o,t,e){return n.tidy(()=>{let r=o.shape[0],a=Jo(n.reshape(n.tile(e.extra_dim,[r,1,1]),[-1,4]),n.reshape(o,[-1,4]));a=n.reshape(a,[r,a.shape[0]/r,4]);let s=n.sigmoid(n.slice(t,[0,0,1],[-1,-1,-1])),i=n.slice(s,[0,0,0],[-1,-1,1]);i=n.reshape(i,[r,i.shape[1]]);let c=n.unstack(a),m=n.unstack(i);return{boxes:c,scores:m}})}function Tt(o,t){return n.tidy(()=>{let e=o.shape[0],r=n.reshape(_t(o,t.box_encoding_predictor),[e,-1,1,4]),a=n.reshape(_t(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:a}})}function to(o,t,e){return n.tidy(()=>{let r=H(o,e.conv_0,[1,1]),a=H(r,e.conv_1,[2,2]),s=H(a,e.conv_2,[1,1]),i=H(s,e.conv_3,[2,2]),c=H(i,e.conv_4,[1,1]),m=H(c,e.conv_5,[2,2]),p=H(m,e.conv_6,[1,1]),u=H(p,e.conv_7,[2,2]),f=Tt(t,e.box_predictor_0),l=Tt(o,e.box_predictor_1),d=Tt(a,e.box_predictor_2),b=Tt(i,e.box_predictor_3),x=Tt(m,e.box_predictor_4),w=Tt(u,e.box_predictor_5),h=n.concat([f.boxPredictionEncoding,l.boxPredictionEncoding,d.boxPredictionEncoding,b.boxPredictionEncoding,x.boxPredictionEncoding,w.boxPredictionEncoding],1),y=n.concat([f.classPrediction,l.classPrediction,d.classPrediction,b.classPrediction,x.classPrediction,w.classPrediction],1);return{boxPredictions:h,classPredictions:y}})}var z=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var wt=class extends I{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return n.tidy(()=>{let r=n.cast(t.toBatchTensor(512,!1),"float32"),a=n.sub(n.div(r,127.5),1),s=Zr(a,e.mobilenetv1),{boxPredictions:i,classPredictions:c}=to(s.out,s.conv11,e.prediction_layer);return Qr(i,c,e.output_layer)})}async forward(t){return this.forwardInput(await M(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:a}=new z(e),s=await M(t),{boxes:i,scores:c}=this.forwardInput(s),m=i[0],p=c[0];for(let v=1;v{let[D,N]=[Math.max(0,h[v][0]),Math.min(1,h[v][2])].map(O=>O*w),[Y,q]=[Math.max(0,h[v][1]),Math.min(1,h[v][3])].map(O=>O*x);return new E(u[v],new St(Y,D,q-Y,N-D),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return m.dispose(),p.dispose(),y}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return qr(t)}extractParams(t){return Jr(t)}};function qo(o){let t=new wt;return t.extractWeights(o),t}function bl(o){return qo(o)}var eo=class extends wt{};var ro=.4,oo=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],no=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],ao=[117.001,114.697,97.404],so="tiny_yolov2_model",io="tiny_yolov2_separable_conv_model";var Se=o=>typeof o=="number";function co(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Se(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Se(t.x)&&Se(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Se)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}function Xt(o){return n.tidy(()=>{let t=n.mul(o,n.scalar(.10000000149011612));return n.add(n.relu(n.sub(o,t)),t)})}function ot(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.conv2d(e,t.conv.filters,[1,1],"valid"),e=n.sub(e,t.bn.sub),e=n.mul(e,t.bn.truediv),e=n.add(e,t.conv.bias),Xt(e)})}function nt(o,t){return n.tidy(()=>{let e=n.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=n.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=n.add(e,t.bias),Xt(e)})}function Zo(o,t){let e=$t(o,t);function r(i,c){let m=n.tensor1d(o(i)),p=n.tensor1d(o(i));return t.push({paramPath:`${c}/sub`},{paramPath:`${c}/truediv`}),{sub:m,truediv:p}}function a(i,c,m){let p=e(i,c,3,`${m}/conv`),u=r(c,`${m}/bn`);return{conv:p,bn:u}}let s=Ot(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function mo(o,t,e,r){let{extractWeights:a,getRemainingWeights:s}=A(o),i=[],{extractConvParams:c,extractConvWithBatchNormParams:m,extractSeparableConvParams:p}=Zo(a,i),u;if(t.withSeparableConvs){let[f,l,d,b,x,w,h,y,v]=r,D=t.isFirstLayerConv2d?c(f,l,3,"conv0"):p(f,l,"conv0"),N=p(l,d,"conv1"),Y=p(d,b,"conv2"),q=p(b,x,"conv3"),O=p(x,w,"conv4"),at=p(w,h,"conv5"),st=y?p(h,y,"conv6"):void 0,it=v?p(y,v,"conv7"):void 0,gt=c(v||y||h,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}else{let[f,l,d,b,x,w,h,y,v]=r,D=m(f,l,"conv0"),N=m(l,d,"conv1"),Y=m(d,b,"conv2"),q=m(b,x,"conv3"),O=m(x,w,"conv4"),at=m(w,h,"conv5"),st=m(h,y,"conv6"),it=m(y,v,"conv7"),gt=c(v,5*e,1,"conv8");u={conv0:D,conv1:N,conv2:Y,conv3:q,conv4:O,conv5:at,conv6:st,conv7:it,conv8:gt}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:u,paramMappings:i}}function Ko(o,t){let e=B(o,t);function r(c){let m=e(`${c}/sub`,1),p=e(`${c}/truediv`,1);return{sub:m,truediv:p}}function a(c){let m=e(`${c}/filters`,4),p=e(`${c}/bias`,1);return{filters:m,bias:p}}function s(c){let m=a(`${c}/conv`),p=r(`${c}/bn`);return{conv:m,bn:p}}let i=Ht(e);return{extractConvParams:a,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function po(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}=Ko(o,e),i;if(t.withSeparableConvs){let c=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?r("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:c>7?s("conv6"):void 0,conv7:c>8?s("conv7"):void 0,conv8:r("conv8")}}else i={conv0:a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:a("conv6"),conv7:a("conv7"),conv8:r("conv8")};return L(o,e),{params:i,paramMappings:e}}var J=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var cr=class extends I{constructor(e){super("TinyYolov2");co(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let a=ot(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=ot(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=ot(a,r.conv6),a=ot(a,r.conv7),_t(a,r.conv8,"valid",!1)}runMobilenet(e,r){let a=this.config.isFirstLayerConv2d?Xt(_t(e,r.conv0,"valid",!1)):nt(e,r.conv0);return a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv1),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv2),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv3),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv4),a=n.maxPool(a,[2,2],[2,2],"same"),a=nt(a,r.conv5),a=n.maxPool(a,[2,2],[1,1],"same"),a=r.conv6?nt(a,r.conv6):a,a=r.conv7?nt(a,r.conv7):a,_t(a,r.conv8,"valid",!1)}forwardInput(e,r){let{params:a}=this;if(!a)throw new Error("TinyYolov2 - load model before inference");return n.tidy(()=>{let s=n.cast(e.toBatchTensor(r,!1),"float32");return s=this.config.meanRgb?X(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,a):this.runTinyYolov2(s,a)})}async forward(e,r){return this.forwardInput(await M(e),r)}async detect(e,r={}){let{inputSize:a,scoreThreshold:s}=new J(r),i=await M(e),c=await this.forwardInput(i,a),m=n.tidy(()=>n.unstack(c)[0].expandDims()),p={width:i.getInputWidth(0),height:i.getInputHeight(0)},u=await this.extractBoxes(m,i.getReshapedInputDimensions(0),s);c.dispose(),m.dispose();let f=u.map(h=>h.box),l=u.map(h=>h.score),d=u.map(h=>h.classScore),b=u.map(h=>this.config.classes[h.label]);return xr(f.map(h=>h.rescale(a)),l,this.config.iouThreshold,!0).map(h=>new ct(l[h],d[h],b[h],f[h],p))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return po(e,this.config)}extractParams(e){let r=this.config.filterSizes||cr.DEFAULT_FILTER_SIZES,a=r?r.length:void 0;if(a!==7&&a!==8&&a!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${a} filterSizes in config`);return mo(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,a){let{width:s,height:i}=r,c=Math.max(s,i),m=c/s,p=c/i,u=e.shape[1],f=this.config.anchors.length,[l,d,b]=n.tidy(()=>{let y=e.reshape([u,u,f,this.boxEncodingSize]),v=y.slice([0,0,0,0],[u,u,f,4]),D=y.slice([0,0,0,4],[u,u,f,1]),N=this.withClassScores?n.softmax(y.slice([0,0,0,5],[u,u,f,this.config.classes.length]),3):n.scalar(0);return[v,D,N]}),x=[],w=await d.array(),h=await l.array();for(let y=0;ya){let Y=(v+fe(h[y][v][D][0]))/u*m,q=(y+fe(h[y][v][D][1]))/u*p,O=Math.exp(h[y][v][D][2])*this.config.anchors[D].x/u*m,at=Math.exp(h[y][v][D][3])*this.config.anchors[D].y/u*p,st=Y-O/2,it=q-at/2,gt={row:y,col:v,anchor:D},{classScore:pr,label:ur}=this.withClassScores?await this.extractPredictedClass(b,gt):{classScore:1,label:0};x.push({box:new Nt(st,it,st+O,it+at),score:N,classScore:N*pr,label:ur,...gt})}}return l.dispose(),d.dispose(),b.dispose(),x}async extractPredictedClass(e,r){let{row:a,col:s,anchor:i}=r,c=await e.array();return Array(this.config.classes.length).fill(0).map((m,p)=>c[a][s][i][p]).map((m,p)=>({classScore:m,label:p})).reduce((m,p)=>m.classScore>p.classScore?m:p)}},Pt=cr;Pt.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Jt=class extends Pt{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:ro,classes:["face"],...t?{anchors:no,meanRgb:ao}:{anchors:oo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?io:so}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function id(o,t=!0){let e=new Jt(t);return e.extractWeights(o),e}var Le=class extends J{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var V=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ft(o,t,e,r,a=({alignedRect:s})=>s){let s=o.map(m=>Yt(m)?a(m):m.detection),i=r||(t instanceof n.Tensor?await oe(t,s):await re(t,s)),c=await e(i);return i.forEach(m=>m instanceof n.Tensor&&m.dispose()),c}async function qt(o,t,e,r,a){return Ft([o],t,async s=>e(s[0]),r,a)}var uo=.4,fo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],lo=[117.001,114.697,97.404];var Zt=class extends Pt{constructor(){let t={withSeparableConvs:!0,iouThreshold:uo,classes:["face"],anchors:fo,meanRgb:lo,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(a=>new E(a.score,a.relativeBox,{width:a.imageWidth,height:a.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var T={ssdMobilenetv1:new wt,tinyFaceDetector:new Zt,tinyYolov2:new Jt,faceLandmark68Net:new jt,faceLandmark68TinyNet:new Ie,faceRecognitionNet:new Ut,faceExpressionNet:new Pe,ageGenderNet:new Me},Qo=(o,t)=>T.ssdMobilenetv1.locateFaces(o,t),Bd=(o,t)=>T.tinyFaceDetector.locateFaces(o,t),Rd=(o,t)=>T.tinyYolov2.locateFaces(o,t),tn=o=>T.faceLandmark68Net.detectLandmarks(o),$d=o=>T.faceLandmark68TinyNet.detectLandmarks(o),Od=o=>T.faceRecognitionNet.computeFaceDescriptor(o),Hd=o=>T.faceExpressionNet.predictExpressions(o),zd=o=>T.ageGenderNet.predictAgeAndGender(o),en=o=>T.ssdMobilenetv1.load(o),Vd=o=>T.tinyFaceDetector.load(o),Yd=o=>T.tinyYolov2.load(o),Gd=o=>T.faceLandmark68Net.load(o),jd=o=>T.faceLandmark68TinyNet.load(o),Ud=o=>T.faceRecognitionNet.load(o),Xd=o=>T.faceExpressionNet.load(o),Jd=o=>T.ageGenderNet.load(o),qd=en,Zd=Qo,Kd=tn;var Ae=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Dt=class extends Ae{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>T.faceExpressionNet.predictExpressions(a))),this.extractedFaces);return t.map((r,a)=>tr(r,e[a]))}withAgeAndGender(){return new Mt(this,this.input)}},Et=class extends Ae{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>T.faceExpressionNet.predictExpressions(r),this.extractedFaces);return tr(t,e)}withAgeAndGender(){return new Ct(this,this.input)}},ut=class extends Dt{withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},ft=class extends Et{withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var We=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.extractedFaces=a}},Mt=class extends We{async run(){let t=await this.parentTask,e=await Ft(t,this.input,async r=>Promise.all(r.map(a=>T.ageGenderNet.predictAgeAndGender(a))),this.extractedFaces);return t.map((r,a)=>{let{age:s,gender:i,genderProbability:c}=e[a];return sr(ir(r,i,c),s)})}withFaceExpressions(){return new Dt(this,this.input)}},Ct=class extends We{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:a}=await qt(t,this.input,s=>T.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return sr(ir(t,r,a),e)}withFaceExpressions(){return new Et(this,this.input)}},lt=class extends Mt{withFaceExpressions(){return new ut(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},dt=class extends Ct{withFaceExpressions(){return new ft(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var ke=class extends V{constructor(e,r){super();this.parentTask=e;this.input=r}},ht=class extends ke{async run(){let t=await this.parentTask;return(await Ft(t,this.input,r=>Promise.all(r.map(a=>T.faceRecognitionNet.computeFaceDescriptor(a))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,a)=>ar(t[a],r))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}},bt=class extends ke{async run(){let t=await this.parentTask;if(!t)return;let e=await qt(t,this.input,r=>T.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return ar(t,e)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}};var Be=class extends V{constructor(e,r,a){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=a}get landmarkNet(){return this.useTinyLandmarkNet?T.faceLandmark68TinyNet:T.faceLandmark68Net}},Re=class extends Be{async run(){let t=await this.parentTask,e=t.map(i=>i.detection),r=this.input instanceof n.Tensor?await oe(this.input,e):await re(this.input,e),a=await Promise.all(r.map(i=>this.landmarkNet.detectLandmarks(i)));return r.forEach(i=>i instanceof n.Tensor&&i.dispose()),t.filter((i,c)=>a[c]).map((i,c)=>ie(i,a[c]))}withFaceExpressions(){return new ut(this,this.input)}withAgeAndGender(){return new lt(this,this.input)}withFaceDescriptors(){return new ht(this,this.input)}},$e=class extends Be{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof n.Tensor?await oe(this.input,[e]):await re(this.input,[e]),a=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(s=>s instanceof n.Tensor&&s.dispose()),ie(t,a)}withFaceExpressions(){return new ft(this,this.input)}withAgeAndGender(){return new dt(this,this.input)}withFaceDescriptor(){return new bt(this,this.input)}};var Oe=class extends V{constructor(e,r=new z){super();this.input=e;this.options=r}},me=class extends Oe{async run(){let{input:t,options:e}=this,r;if(e instanceof Le)r=T.tinyFaceDetector.locateFaces(t,e);else if(e instanceof z)r=T.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof J)r=T.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(a=>At({},a)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new Re(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Dt(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Mt(this.runAndExtendWithFaceDetections(),this.input)}},He=class extends Oe{async run(){let t=await new me(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?At({},e):void 0)})}withFaceLandmarks(t=!1){return new $e(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Et(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Ct(this.runAndExtendWithFaceDetection(),this.input)}};function Jh(o,t=new z){return new He(o,t)}function mr(o,t=new z){return new me(o,t)}async function rn(o,t){return mr(o,new z(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function eb(o,t={}){return mr(o,new J(t)).withFaceLandmarks().withFaceDescriptors()}var rb=rn;function ho(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((a,s)=>a-r[s]).reduce((a,s)=>a+s*s,0))}var ze=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let a=1,s=()=>`person ${a++}`;this._labeledDescriptors=r.map(i=>{if(i instanceof Q)return i;if(i instanceof Float32Array)return new Q(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Q(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>ho(r,t)).reduce((r,a)=>r+a,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new Kt(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>Q.fromJSON(r));return new ze(e,t.distanceThreshold)}};function yb(o){let t=new Zt;return t.extractWeights(o),t}function on(o,t){let{width:e,height:r}=new S(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(a=>on(a,{width:e,height:r}));if(Yt(o)){let a=o.detection.forSize(e,r),s=o.unshiftedLandmarks.forSize(a.box.width,a.box.height);return ie(At(o,a),s)}return tt(o)?At(o,o.detection.forSize(e,r)):o instanceof $||o instanceof E?o.forSize(e,r):o}var Nb=kr;export{Me as AgeGenderNet,Nt as BoundingBox,F as Box,V as ComposableTask,ht as ComputeAllFaceDescriptorsTask,ke as ComputeFaceDescriptorsTaskBase,bt as ComputeSingleFaceDescriptorTask,Re as DetectAllFaceLandmarksTask,me as DetectAllFacesTask,Be as DetectFaceLandmarksTaskBase,Oe as DetectFacesTaskBase,$e as DetectSingleFaceLandmarksTask,He as DetectSingleFaceTask,S as Dimensions,Lr as FACE_EXPRESSION_LABELS,E as FaceDetection,eo as FaceDetectionNet,Pe as FaceExpressionNet,pt as FaceExpressions,jt as FaceLandmark68Net,Ie as FaceLandmark68TinyNet,Yr as FaceLandmarkNet,$ as FaceLandmarks,yr as FaceLandmarks5,Lt as FaceLandmarks68,Kt as FaceMatch,ze as FaceMatcher,Ut as FaceRecognitionNet,rr as Gender,Qt as LabeledBox,Q as LabeledFaceDescriptors,rt as NetInput,I as NeuralNetwork,ct as ObjectDetection,g as Point,_r as PredictedBox,St as Rect,wt as SsdMobilenetv1,z as SsdMobilenetv1Options,Zt as TinyFaceDetector,Le as TinyFaceDetectorOptions,Jt as TinyYolov2,J as TinyYolov2Options,rb as allFaces,rn as allFacesSsdMobilenetv1,eb as allFacesTinyYolov2,Tr as awaitMediaLoaded,wr as bufferToImage,Od as computeFaceDescriptor,Rt as createCanvas,be as createCanvasFromMedia,bl as createFaceDetectionNet,bf as createFaceRecognitionNet,qo as createSsdMobilenetv1,yb as createTinyFaceDetector,id as createTinyYolov2,mr as detectAllFaces,tn as detectFaceLandmarks,$d as detectFaceLandmarksTiny,Kd as detectLandmarks,Jh as detectSingleFace,Wr as draw,_ as env,ho as euclideanDistance,sr as extendWithAge,ar as extendWithFaceDescriptor,At as extendWithFaceDetection,tr as extendWithFaceExpressions,ie as extendWithFaceLandmarks,ir as extendWithGender,oe as extractFaceTensors,re as extractFaces,Fi as fetchImage,Dr as fetchJson,Ii as fetchNetWeights,mt as fetchOrThrow,ki as fetchVideo,k as getContext2dOrThrow,Bt as getMediaDimensions,Pr as imageTensorToCanvas,Fr as imageToSquare,On as inverseSigmoid,br as iou,Qe as isMediaElement,he as isMediaLoaded,yf as isWithAge,tt as isWithFaceDetection,Ar as isWithFaceExpressions,Yt as isWithFaceLandmarks,Pf as isWithGender,Jd as loadAgeGenderModel,qd as loadFaceDetectionModel,Xd as loadFaceExpressionModel,Gd as loadFaceLandmarkModel,jd as loadFaceLandmarkTinyModel,Ud as loadFaceRecognitionModel,en as loadSsdMobilenetv1Model,Vd as loadTinyFaceDetectorModel,Yd as loadTinyYolov2Model,Mr as loadWeightMap,Zd as locateFaces,Vi as matchDimensions,gr as minBbox,T as nets,xr as nonMaxSuppression,X as normalize,vr as padToSquare,zd as predictAgeAndGender,Hd as recognizeFaceExpressions,on as resizeResults,Wt as resolveInput,Rn as shuffleArray,fe as sigmoid,Qo as ssdMobilenetv1,n as tf,Bd as tinyFaceDetector,Rd as tinyYolov2,M as toNetInput,hr as utils,co as validateConfig,Nb as version}; diff --git a/dist/face-api.esm.js b/dist/face-api.esm.js index 513df14..3a210d5 100644 --- a/dist/face-api.esm.js +++ b/dist/face-api.esm.js @@ -4,14 +4,14 @@ author: ' */ -var nF=Object.defineProperty;var aF=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var tb=(e,t)=>{for(var n in t)nF(e,n,{get:t[n],enumerable:!0})};var ze={};tb(ze,{Abs:()=>wl,Acos:()=>kl,Acosh:()=>Il,AdadeltaOptimizer:()=>Ov,AdagradOptimizer:()=>Lv,AdamOptimizer:()=>zv,AdamaxOptimizer:()=>Wv,Add:()=>fs,AddN:()=>yi,All:()=>Sl,Any:()=>Tl,ArgMax:()=>bi,ArgMin:()=>rc,Asin:()=>Nl,Asinh:()=>Cl,Atan:()=>_l,Atan2:()=>Al,Atanh:()=>El,AvgPool:()=>xi,AvgPool3D:()=>sc,AvgPool3DGrad:()=>Yh,AvgPoolGrad:()=>Xh,BackendWasm:()=>wA,BatchMatMul:()=>vi,BatchToSpaceND:()=>$l,Bincount:()=>Zh,BroadcastArgs:()=>Jh,BroadcastTo:()=>$I,Callback:()=>ZN,CallbackList:()=>tN,Cast:()=>wi,Ceil:()=>ki,ClipByValue:()=>gs,Complex:()=>Qh,ComplexAbs:()=>ic,Concat:()=>Fl,Conv2D:()=>Ii,Conv2DBackpropFilter:()=>em,Conv2DBackpropInput:()=>Si,Conv3D:()=>oc,Conv3DBackpropFilterV2:()=>tm,Conv3DBackpropInputV2:()=>nm,Cos:()=>Ti,Cosh:()=>Ni,CropAndResize:()=>Dl,Cumprod:()=>Rl,Cumsum:()=>Ci,CustomCallback:()=>aN,DataStorage:()=>Hh,DenseBincount:()=>am,DepthToSpace:()=>Ml,DepthwiseConv2dNative:()=>_i,DepthwiseConv2dNativeBackpropFilter:()=>rm,DepthwiseConv2dNativeBackpropInput:()=>sm,Diag:()=>im,Dilation2D:()=>lc,Dilation2DBackpropFilter:()=>gh,Dilation2DBackpropInput:()=>fh,ENV:()=>xx,EarlyStopping:()=>JN,Einsum:()=>om,Elu:()=>Ai,EluGrad:()=>lm,Environment:()=>EI,Equal:()=>Ol,Erf:()=>Pl,Exp:()=>$i,ExpandDims:()=>Ll,Expm1:()=>zl,FFT:()=>um,Fill:()=>uc,FlipLeftRight:()=>Wl,Floor:()=>Fi,FloorDiv:()=>Ri,FromPixels:()=>yh,FusedBatchNorm:()=>Di,FusedConv2D:()=>ei,FusedDepthwiseConv2D:()=>ti,GPGPUContext:()=>ph,GatherNd:()=>Vl,GatherV2:()=>Bl,GraphModel:()=>S0,Greater:()=>Ul,GreaterEqual:()=>Mi,History:()=>nN,IFFT:()=>pm,Identity:()=>Pi,Imag:()=>cm,InputSpec:()=>zt,IsFinite:()=>Gl,IsInf:()=>Hl,IsNan:()=>Oi,KernelBackend:()=>ac,LRN:()=>pc,LRNGrad:()=>hm,LayerVariable:()=>KT,LayersModel:()=>_r,LeakyRelu:()=>Li,Less:()=>ql,LessEqual:()=>jl,LinSpace:()=>dm,Log:()=>zi,Log1p:()=>Kl,LogSoftmax:()=>RI,LogicalAnd:()=>Xl,LogicalNot:()=>Yl,LogicalOr:()=>Zl,LogicalXor:()=>FI,LowerBound:()=>KF,MathBackendWebGL:()=>Ef,Max:()=>Wi,MaxPool:()=>Vi,MaxPool3D:()=>cc,MaxPool3DGrad:()=>fm,MaxPoolGrad:()=>mm,MaxPoolWithArgmax:()=>gm,Maximum:()=>Bi,Mean:()=>Ui,Min:()=>Gi,Minimum:()=>Hi,MirrorPad:()=>qi,Mod:()=>Jl,MomentumOptimizer:()=>Bv,Multinomial:()=>ym,Multiply:()=>ji,Neg:()=>Ql,NonMaxSuppressionV3:()=>tu,NonMaxSuppressionV4:()=>nu,NonMaxSuppressionV5:()=>au,NotEqual:()=>eu,OP_SCOPE_SUFFIX:()=>Ix,OneHot:()=>Ki,OnesLike:()=>ru,Optimizer:()=>Rr,OptimizerConstructors:()=>$T,Pack:()=>su,PadV2:()=>Xi,Pool:()=>XF,Pow:()=>Yi,Prelu:()=>Zi,Prod:()=>Ji,RMSPropOptimizer:()=>Vv,RNN:()=>mr,RaggedGather:()=>bm,RaggedRange:()=>xm,RaggedTensorToTensor:()=>vm,Range:()=>dc,Rank:()=>vb,Real:()=>wm,RealDiv:()=>Ei,Reciprocal:()=>Qi,Reduction:()=>vn,Relu:()=>eo,Relu6:()=>ao,Reshape:()=>iu,ResizeBilinear:()=>no,ResizeBilinearGrad:()=>Im,ResizeNearestNeighbor:()=>to,ResizeNearestNeighborGrad:()=>km,Reverse:()=>ro,RotateWithOffset:()=>ku,Round:()=>so,Rsqrt:()=>io,SGDOptimizer:()=>of,ScatterNd:()=>ou,SearchSorted:()=>Sm,Select:()=>lu,Selu:()=>uu,Sequential:()=>hl,Sigmoid:()=>lo,Sign:()=>du,Sin:()=>oo,Sinh:()=>cu,Slice:()=>pu,Softmax:()=>co,Softplus:()=>hu,SpaceToBatchND:()=>mu,SparseFillEmptyRows:()=>hc,SparseReshape:()=>gu,SparseSegmentMean:()=>mc,SparseSegmentSum:()=>fc,SparseToDense:()=>Tm,SplitV:()=>fu,Sqrt:()=>uo,Square:()=>gc,SquaredDifference:()=>ho,Step:()=>bs,StridedSlice:()=>yu,StringNGrams:()=>yc,StringSplit:()=>bc,StringToHashBucketFast:()=>xc,Sub:()=>mo,Sum:()=>po,SymbolicTensor:()=>Va,Tan:()=>fo,Tanh:()=>go,Tensor:()=>Ne,TensorBuffer:()=>jt,Tile:()=>ys,TopK:()=>bu,Transform:()=>xu,Transpose:()=>Cr,Unique:()=>Nm,Unpack:()=>vu,UnsortedSegmentSum:()=>vc,UpperBound:()=>YF,Variable:()=>ss,ZerosLike:()=>wu,_FusedMatMul:()=>Qs,abs:()=>Lt,acos:()=>Ex,acosh:()=>Ax,add:()=>X,addN:()=>tS,all:()=>$m,any:()=>Gp,argMax:()=>ri,argMin:()=>$x,asin:()=>Fx,asinh:()=>Rx,atan:()=>Dx,atan2:()=>Mx,atanh:()=>Px,avgPool:()=>ya,avgPool3d:()=>Lx,backend:()=>eS,backend_util:()=>N,basicLSTMCell:()=>sS,batchNorm:()=>vs,batchNorm2d:()=>zx,batchNorm3d:()=>Wx,batchNorm4d:()=>Bx,batchToSpaceND:()=>Cc,bincount:()=>Vx,booleanMaskAsync:()=>HS,broadcastArgs:()=>iS,broadcastTo:()=>Ys,broadcast_util:()=>Iu,browser:()=>vo,buffer:()=>Le,callbacks:()=>kH,cast:()=>ie,ceil:()=>Ux,clipByValue:()=>tn,clone:()=>sr,complex:()=>Er,concat:()=>Ze,concat1d:()=>Gx,concat2d:()=>Hx,concat3d:()=>qx,concat4d:()=>jx,constraints:()=>ZT,conv1d:()=>Fm,conv2d:()=>Rt,conv2dTranspose:()=>Rm,conv3d:()=>Xx,conv3dTranspose:()=>Yx,copyRegisteredKernels:()=>eR,cos:()=>_c,cosh:()=>Dm,cosineWindow:()=>tf,cumprod:()=>jp,cumsum:()=>Mm,customGrad:()=>ur,data:()=>k2,denseBincount:()=>Ih,deprecationWarn:()=>_x,depthToSpace:()=>Zx,depthwiseConv2d:()=>ws,deregisterOp:()=>TH,device_util:()=>Sc,diag:()=>lS,dilation2d:()=>Jx,disableDeprecationWarnings:()=>pD,dispose:()=>_e,disposeVariables:()=>cD,div:()=>he,divNoNan:()=>Qx,dot:()=>ev,dropout:()=>Fv,einsum:()=>pS,elu:()=>Su,enableDebugMode:()=>uD,enableProdMode:()=>lD,enclosingPowerOfTwo:()=>Rv,engine:()=>Ca,env:()=>H,equal:()=>Jn,erf:()=>tv,euclideanNorm:()=>rv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>sv,eye:()=>Pm,fft:()=>Oc,fill:()=>bn,findBackend:()=>bD,findBackendFactory:()=>xD,floor:()=>Nu,floorDiv:()=>Am,forceHalfFloat:()=>B_,fused:()=>ul,gather:()=>Cu,gatherND:()=>YS,gather_util:()=>Hv,getBackend:()=>gD,getGradient:()=>bb,getKernel:()=>bh,getKernelsForBackend:()=>xh,getThreadsCount:()=>wpe,gpgpu_util:()=>x_,grad:()=>hP,grads:()=>mP,greater:()=>Nn,greaterEqual:()=>$r,ifft:()=>ll,imag:()=>Ec,image:()=>Ea,inTopKAsync:()=>ZS,initializers:()=>JT,input:()=>yN,io:()=>Ht,irfft:()=>Zm,isFinite:()=>iv,isInf:()=>ov,isNaN:()=>lv,keep:()=>Gt,kernel_impls:()=>hr,layers:()=>QT,leakyRelu:()=>Ac,less:()=>Om,lessEqual:()=>ks,linalg:()=>Pv,linspace:()=>fS,loadGraphModel:()=>E6,loadGraphModelSync:()=>A6,loadLayersModel:()=>vU,localResponseNormalization:()=>uv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>pv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>$a,logicalNot:()=>Fc,logicalOr:()=>Bm,logicalXor:()=>cv,losses:()=>uT,lowerBound:()=>yS,matMul:()=>Re,math:()=>xT,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>dv,maxPoolWithArgmax:()=>bS,maximum:()=>dr,mean:()=>Ct,memory:()=>kh,meshgrid:()=>xS,metrics:()=>KN,min:()=>rl,minimum:()=>_u,mirrorPad:()=>hv,mod:()=>mv,model:()=>IU,models:()=>XN,moments:()=>Rc,movingAverage:()=>qS,mul:()=>z,multiRNNCell:()=>vS,multinomial:()=>wS,neg:()=>bt,nextFrame:()=>qv,norm:()=>Tu,notEqual:()=>li,oneHot:()=>sl,ones:()=>Zn,onesLike:()=>ea,op:()=>L,outerProduct:()=>kS,pad:()=>ba,pad1d:()=>IS,pad2d:()=>SS,pad3d:()=>TS,pad4d:()=>NS,pool:()=>fv,pow:()=>Ar,prelu:()=>Mc,print:()=>Cx,prod:()=>gv,profile:()=>dD,raggedGather:()=>CS,raggedRange:()=>_S,raggedTensorToTensor:()=>ES,rand:()=>AS,randomGamma:()=>DS,randomNormal:()=>Um,randomStandardNormal:()=>MS,randomUniform:()=>Eu,range:()=>ui,ready:()=>fD,real:()=>il,reciprocal:()=>wv,registerBackend:()=>Em,registerCallbackConstructor:()=>TU,registerGradient:()=>DI,registerKernel:()=>wc,registerOp:()=>SH,regularizers:()=>YN,relu:()=>Ke,relu6:()=>Gm,removeBackend:()=>yD,reshape:()=>W,reverse:()=>ga,reverse1d:()=>PS,reverse2d:()=>OS,reverse3d:()=>LS,reverse4d:()=>zS,rfft:()=>Lc,round:()=>Hm,rsqrt:()=>qm,scalar:()=>xe,scatterND:()=>KS,scatter_util:()=>Ev,searchSorted:()=>Vm,selu:()=>jm,separableConv2d:()=>Is,sequential:()=>SU,serialization:()=>ne,setBackend:()=>mD,setPlatform:()=>vD,setThreadsCount:()=>vpe,setWasmPath:()=>bpe,setWasmPaths:()=>xpe,setWebGLContext:()=>UC,setdiff1dAsync:()=>WS,sigmoid:()=>da,sign:()=>kv,signal:()=>lT,sin:()=>Km,sinh:()=>Xm,slice:()=>Ve,slice1d:()=>Pc,slice2d:()=>Ym,slice3d:()=>bo,slice4d:()=>ol,slice_util:()=>Kt,softmax:()=>Xa,softplus:()=>yo,spaceToBatchND:()=>Dc,sparse:()=>pT,sparseToDense:()=>XS,spectral:()=>oT,split:()=>zn,sqrt:()=>pn,square:()=>it,squaredDifference:()=>Jm,squeeze:()=>Ss,stack:()=>Ft,step:()=>xo,stridedSlice:()=>Iv,string:()=>cT,sub:()=>pe,sum:()=>fe,sumOutType:()=>_m,tan:()=>Sv,tanh:()=>ii,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Aa,tensor3d:()=>zc,tensor4d:()=>Ra,tensor5d:()=>BS,tensor6d:()=>VS,tensor_util:()=>Ua,test_util:()=>$S,tidy:()=>P,tile:()=>Ln,time:()=>hD,topk:()=>Tv,train:()=>Us,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Nv,unregisterGradient:()=>QF,unregisterKernel:()=>JF,unsortedSegmentSum:()=>ef,unstack:()=>lt,upcastType:()=>ma,upperBound:()=>US,util:()=>v,valueAndGrad:()=>fP,valueAndGrads:()=>gP,variable:()=>Cv,variableGrads:()=>gS,version:()=>_pe,version_converter:()=>F6,version_core:()=>Ez,version_layers:()=>mw,version_wasm:()=>kpe,version_webgl:()=>uJ,webgl:()=>pJ,webgl_util:()=>VC,where:()=>gn,whereAsync:()=>_v,zeros:()=>It,zerosLike:()=>qe});var rF=Object.create,gx=Object.defineProperty,sF=Object.getOwnPropertyDescriptor,iF=Object.getOwnPropertyNames,oF=Object.getPrototypeOf,lF=Object.prototype.hasOwnProperty,Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)gx(e,n,{get:t[n],enumerable:!0})},uF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of iF(t))!lF.call(e,r)&&r!==n&&gx(e,r,{get:()=>t[r],enumerable:!(a=sF(t,r))||a.enumerable});return e},hs=(e,t,n)=>(n=e!=null?rF(oF(e)):{},uF(t||!e||!e.__esModule?gx(n,"default",{value:e,enumerable:!0}):n,e)),pF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return $}else{if(S<=-y)return R;if(S+1>=y)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),j=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=J.toString(S);if(j=Z,j.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,j=S.high>>>16,K=S.high&65535,Z=S.low>>>16,J=S.low&65535,ee=0,ae=0,te=0,re=0;return re+=G+J,te+=re>>>16,re&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+j,ee&=65535,u(te<<16|re,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(b)&&S.lt(b))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,j=this.low&65535,K=S.high>>>16,Z=S.high&65535,J=S.low>>>16,ee=S.low&65535,ae=0,te=0,re=0,se=0;return se+=j*ee,re+=se>>>16,se&=65535,re+=G*ee,te+=re>>>16,re&=65535,re+=j*J,te+=re>>>16,re&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*J,ae+=te>>>16,te&=65535,te+=j*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*J+G*Z+j*K,ae&=65535,u(re<<16|se,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var j=this.shr(1);return B=j.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),J=l(B),ee=J.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,J=l(B,this.unsigned),ee=J.mul(S);J.isZero()&&(J=I),G=G.add(J),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),cF=Bt(()=>{}),dF=Bt(()=>{}),hF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),mF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),fF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),gF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),yF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,y,b=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(y=y+1640531527|0,h=b[g&127]^=m+y,f=h==0?f+1:0);for(f>=128&&(b[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=b[f+34&127],h=b[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,b[f]=m^h;d.w=y,d.X=b,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),bF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),xF=Bt(()=>{}),vF=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var $=b(y(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,b(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,$,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,$=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);${var n=hF(),a=mF(),r=fF(),s=gF(),i=yF(),o=bF(),l=vF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),yI=Bt(()=>{}),yx=Bt(()=>{}),bI=Bt(()=>{}),wF=Bt(()=>{}),kF=Bt(()=>{}),IF=Bt(()=>{}),SF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=De&&st(ue.buffer),dt}function i(){return ue.buffer!=De&&st(ue.buffer),Hn}function o(){return ue.buffer!=De&&st(ue.buffer),Pt}function l(){return ue.buffer!=De&&st(ue.buffer),on}function u(){return ue.buffer!=De&&st(ue.buffer),Fn}function p(){return ue.buffer!=De&&st(ue.buffer),ia}function d(){return ue.buffer!=De&&st(ue.buffer),Rn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,q){h=D,m=q});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),y=[],b="./this.program",x=(D,q)=>{throw q},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function $(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof Ls||J("exiting due to exception: "+D)}if(T){var U=yx(),G=bI();I?E=G.dirname(E)+"/":E=__dirname+"/",R=(q,le)=>(q=Bo(q)?new URL(q):G.normalize(q),U.readFileSync(q,le?void 0:"utf8")),S=q=>{var le=R(q,!0);return le.buffer||(le=new Uint8Array(le)),le},F=(q,le,Te)=>{q=Bo(q)?new URL(q):G.normalize(q),U.readFile(q,function(Me,Fe){Me?Te(Me):le(Fe.buffer)})},process.argv.length>1&&(b=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(q){if(!(q instanceof Ls))throw q}),process.on("unhandledRejection",function(q){throw q}),x=(q,le)=>{if(ka())throw process.exitCode=q,le;B(le),process.exit(q)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=wF()}catch(q){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),q}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.send(null),q.responseText},I&&(S=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.responseType="arraybuffer",q.send(null),new Uint8Array(q.response)}),F=(D,q,le)=>{var Te=new XMLHttpRequest;Te.open("GET",D,!0),Te.responseType="arraybuffer",Te.onload=()=>{if(Te.status==200||Te.status==0&&Te.response){q(Te.response);return}le()},Te.onerror=le,Te.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=kF().performance);var j=console.log.bind(console),K=console.warn.bind(console);T&&(j=D=>U.writeSync(1,D+` +var nF=Object.defineProperty;var aF=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var tb=(e,t)=>{for(var n in t)nF(e,n,{get:t[n],enumerable:!0})};var ze={};tb(ze,{Abs:()=>wl,Acos:()=>kl,Acosh:()=>Il,AdadeltaOptimizer:()=>Ov,AdagradOptimizer:()=>Lv,AdamOptimizer:()=>zv,AdamaxOptimizer:()=>Wv,Add:()=>fs,AddN:()=>yi,All:()=>Sl,Any:()=>Tl,ArgMax:()=>bi,ArgMin:()=>rc,Asin:()=>Nl,Asinh:()=>Cl,Atan:()=>_l,Atan2:()=>Al,Atanh:()=>El,AvgPool:()=>xi,AvgPool3D:()=>sc,AvgPool3DGrad:()=>Yh,AvgPoolGrad:()=>Xh,BackendWasm:()=>wA,BatchMatMul:()=>vi,BatchToSpaceND:()=>$l,Bincount:()=>Zh,BroadcastArgs:()=>Jh,BroadcastTo:()=>$I,Callback:()=>ZN,CallbackList:()=>tN,Cast:()=>wi,Ceil:()=>ki,ClipByValue:()=>gs,Complex:()=>Qh,ComplexAbs:()=>ic,Concat:()=>Fl,Conv2D:()=>Ii,Conv2DBackpropFilter:()=>em,Conv2DBackpropInput:()=>Si,Conv3D:()=>oc,Conv3DBackpropFilterV2:()=>tm,Conv3DBackpropInputV2:()=>nm,Cos:()=>Ti,Cosh:()=>Ni,CropAndResize:()=>Dl,Cumprod:()=>Rl,Cumsum:()=>Ci,CustomCallback:()=>aN,DataStorage:()=>Hh,DenseBincount:()=>am,DepthToSpace:()=>Ml,DepthwiseConv2dNative:()=>_i,DepthwiseConv2dNativeBackpropFilter:()=>rm,DepthwiseConv2dNativeBackpropInput:()=>sm,Diag:()=>im,Dilation2D:()=>lc,Dilation2DBackpropFilter:()=>gh,Dilation2DBackpropInput:()=>fh,ENV:()=>xx,EarlyStopping:()=>JN,Einsum:()=>om,Elu:()=>Ai,EluGrad:()=>lm,Environment:()=>EI,Equal:()=>Ol,Erf:()=>Pl,Exp:()=>$i,ExpandDims:()=>Ll,Expm1:()=>zl,FFT:()=>um,Fill:()=>uc,FlipLeftRight:()=>Wl,Floor:()=>Fi,FloorDiv:()=>Ri,FromPixels:()=>yh,FusedBatchNorm:()=>Di,FusedConv2D:()=>ei,FusedDepthwiseConv2D:()=>ti,GPGPUContext:()=>ph,GatherNd:()=>Vl,GatherV2:()=>Bl,GraphModel:()=>S0,Greater:()=>Ul,GreaterEqual:()=>Mi,History:()=>nN,IFFT:()=>pm,Identity:()=>Pi,Imag:()=>cm,InputSpec:()=>zt,IsFinite:()=>Gl,IsInf:()=>Hl,IsNan:()=>Oi,KernelBackend:()=>ac,LRN:()=>pc,LRNGrad:()=>hm,LayerVariable:()=>KT,LayersModel:()=>_r,LeakyRelu:()=>Li,Less:()=>ql,LessEqual:()=>jl,LinSpace:()=>dm,Log:()=>zi,Log1p:()=>Kl,LogSoftmax:()=>RI,LogicalAnd:()=>Xl,LogicalNot:()=>Yl,LogicalOr:()=>Zl,LogicalXor:()=>FI,LowerBound:()=>KF,MathBackendWebGL:()=>Ef,Max:()=>Wi,MaxPool:()=>Vi,MaxPool3D:()=>cc,MaxPool3DGrad:()=>fm,MaxPoolGrad:()=>mm,MaxPoolWithArgmax:()=>gm,Maximum:()=>Bi,Mean:()=>Ui,Min:()=>Gi,Minimum:()=>Hi,MirrorPad:()=>qi,Mod:()=>Jl,MomentumOptimizer:()=>Bv,Multinomial:()=>ym,Multiply:()=>ji,Neg:()=>Ql,NonMaxSuppressionV3:()=>tu,NonMaxSuppressionV4:()=>nu,NonMaxSuppressionV5:()=>au,NotEqual:()=>eu,OP_SCOPE_SUFFIX:()=>Ix,OneHot:()=>Ki,OnesLike:()=>ru,Optimizer:()=>Rr,OptimizerConstructors:()=>$T,Pack:()=>su,PadV2:()=>Xi,Pool:()=>XF,Pow:()=>Yi,Prelu:()=>Zi,Prod:()=>Ji,RMSPropOptimizer:()=>Vv,RNN:()=>mr,RaggedGather:()=>bm,RaggedRange:()=>xm,RaggedTensorToTensor:()=>vm,Range:()=>dc,Rank:()=>vb,Real:()=>wm,RealDiv:()=>Ei,Reciprocal:()=>Qi,Reduction:()=>vn,Relu:()=>eo,Relu6:()=>ao,Reshape:()=>iu,ResizeBilinear:()=>no,ResizeBilinearGrad:()=>Im,ResizeNearestNeighbor:()=>to,ResizeNearestNeighborGrad:()=>km,Reverse:()=>ro,RotateWithOffset:()=>ku,Round:()=>so,Rsqrt:()=>io,SGDOptimizer:()=>of,ScatterNd:()=>ou,SearchSorted:()=>Sm,Select:()=>lu,Selu:()=>uu,Sequential:()=>hl,Sigmoid:()=>lo,Sign:()=>du,Sin:()=>oo,Sinh:()=>cu,Slice:()=>pu,Softmax:()=>co,Softplus:()=>hu,SpaceToBatchND:()=>mu,SparseFillEmptyRows:()=>hc,SparseReshape:()=>gu,SparseSegmentMean:()=>mc,SparseSegmentSum:()=>fc,SparseToDense:()=>Tm,SplitV:()=>fu,Sqrt:()=>uo,Square:()=>gc,SquaredDifference:()=>ho,Step:()=>bs,StridedSlice:()=>yu,StringNGrams:()=>yc,StringSplit:()=>bc,StringToHashBucketFast:()=>xc,Sub:()=>mo,Sum:()=>po,SymbolicTensor:()=>Va,Tan:()=>fo,Tanh:()=>go,Tensor:()=>Ne,TensorBuffer:()=>jt,Tile:()=>ys,TopK:()=>bu,Transform:()=>xu,Transpose:()=>Cr,Unique:()=>Nm,Unpack:()=>vu,UnsortedSegmentSum:()=>vc,UpperBound:()=>YF,Variable:()=>ss,ZerosLike:()=>wu,_FusedMatMul:()=>Qs,abs:()=>Lt,acos:()=>Ex,acosh:()=>Ax,add:()=>X,addN:()=>tS,all:()=>$m,any:()=>Gp,argMax:()=>ri,argMin:()=>$x,asin:()=>Fx,asinh:()=>Rx,atan:()=>Dx,atan2:()=>Mx,atanh:()=>Px,avgPool:()=>ya,avgPool3d:()=>Lx,backend:()=>eS,backend_util:()=>N,basicLSTMCell:()=>sS,batchNorm:()=>vs,batchNorm2d:()=>zx,batchNorm3d:()=>Wx,batchNorm4d:()=>Bx,batchToSpaceND:()=>Cc,bincount:()=>Vx,booleanMaskAsync:()=>HS,broadcastArgs:()=>iS,broadcastTo:()=>Ys,broadcast_util:()=>Iu,browser:()=>vo,buffer:()=>Le,callbacks:()=>kH,cast:()=>ie,ceil:()=>Ux,clipByValue:()=>tn,clone:()=>sr,complex:()=>Er,concat:()=>Ze,concat1d:()=>Gx,concat2d:()=>Hx,concat3d:()=>qx,concat4d:()=>jx,constraints:()=>ZT,conv1d:()=>Fm,conv2d:()=>Rt,conv2dTranspose:()=>Rm,conv3d:()=>Xx,conv3dTranspose:()=>Yx,copyRegisteredKernels:()=>eR,cos:()=>_c,cosh:()=>Dm,cosineWindow:()=>tf,cumprod:()=>jp,cumsum:()=>Mm,customGrad:()=>ur,data:()=>k2,denseBincount:()=>Ih,deprecationWarn:()=>_x,depthToSpace:()=>Zx,depthwiseConv2d:()=>ws,deregisterOp:()=>TH,device_util:()=>Sc,diag:()=>lS,dilation2d:()=>Jx,disableDeprecationWarnings:()=>pD,dispose:()=>_e,disposeVariables:()=>cD,div:()=>he,divNoNan:()=>Qx,dot:()=>ev,dropout:()=>Fv,einsum:()=>pS,elu:()=>Su,enableDebugMode:()=>uD,enableProdMode:()=>lD,enclosingPowerOfTwo:()=>Rv,engine:()=>Ca,env:()=>H,equal:()=>Jn,erf:()=>tv,euclideanNorm:()=>rv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>sv,eye:()=>Pm,fft:()=>Oc,fill:()=>bn,findBackend:()=>bD,findBackendFactory:()=>xD,floor:()=>Nu,floorDiv:()=>Am,forceHalfFloat:()=>B_,fused:()=>ul,gather:()=>Cu,gatherND:()=>YS,gather_util:()=>Hv,getBackend:()=>gD,getGradient:()=>bb,getKernel:()=>bh,getKernelsForBackend:()=>xh,getThreadsCount:()=>wpe,gpgpu_util:()=>x_,grad:()=>hP,grads:()=>mP,greater:()=>Nn,greaterEqual:()=>$r,ifft:()=>ll,imag:()=>Ec,image:()=>Ea,inTopKAsync:()=>ZS,initializers:()=>JT,input:()=>yN,io:()=>Ht,irfft:()=>Zm,isFinite:()=>iv,isInf:()=>ov,isNaN:()=>lv,keep:()=>Gt,kernel_impls:()=>hr,layers:()=>QT,leakyRelu:()=>Ac,less:()=>Om,lessEqual:()=>ks,linalg:()=>Pv,linspace:()=>fS,loadGraphModel:()=>E6,loadGraphModelSync:()=>A6,loadLayersModel:()=>vU,localResponseNormalization:()=>uv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>pv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>$a,logicalNot:()=>Fc,logicalOr:()=>Bm,logicalXor:()=>cv,losses:()=>uT,lowerBound:()=>yS,matMul:()=>Re,math:()=>xT,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>dv,maxPoolWithArgmax:()=>bS,maximum:()=>dr,mean:()=>Ct,memory:()=>kh,meshgrid:()=>xS,metrics:()=>KN,min:()=>rl,minimum:()=>_u,mirrorPad:()=>hv,mod:()=>mv,model:()=>IU,models:()=>XN,moments:()=>Rc,movingAverage:()=>qS,mul:()=>z,multiRNNCell:()=>vS,multinomial:()=>wS,neg:()=>bt,nextFrame:()=>qv,norm:()=>Tu,notEqual:()=>li,oneHot:()=>sl,ones:()=>Zn,onesLike:()=>ea,op:()=>L,outerProduct:()=>kS,pad:()=>ba,pad1d:()=>IS,pad2d:()=>SS,pad3d:()=>TS,pad4d:()=>NS,pool:()=>fv,pow:()=>Ar,prelu:()=>Mc,print:()=>Cx,prod:()=>gv,profile:()=>dD,raggedGather:()=>CS,raggedRange:()=>_S,raggedTensorToTensor:()=>ES,rand:()=>AS,randomGamma:()=>DS,randomNormal:()=>Um,randomStandardNormal:()=>MS,randomUniform:()=>Eu,range:()=>ui,ready:()=>fD,real:()=>il,reciprocal:()=>wv,registerBackend:()=>Em,registerCallbackConstructor:()=>TU,registerGradient:()=>DI,registerKernel:()=>wc,registerOp:()=>SH,regularizers:()=>YN,relu:()=>Ke,relu6:()=>Gm,removeBackend:()=>yD,reshape:()=>W,reverse:()=>ga,reverse1d:()=>PS,reverse2d:()=>OS,reverse3d:()=>LS,reverse4d:()=>zS,rfft:()=>Lc,round:()=>Hm,rsqrt:()=>qm,scalar:()=>xe,scatterND:()=>KS,scatter_util:()=>Ev,searchSorted:()=>Vm,selu:()=>jm,separableConv2d:()=>Is,sequential:()=>SU,serialization:()=>ne,setBackend:()=>mD,setPlatform:()=>vD,setThreadsCount:()=>vpe,setWasmPath:()=>bpe,setWasmPaths:()=>xpe,setWebGLContext:()=>UC,setdiff1dAsync:()=>WS,sigmoid:()=>da,sign:()=>kv,signal:()=>lT,sin:()=>Km,sinh:()=>Xm,slice:()=>Ve,slice1d:()=>Pc,slice2d:()=>Ym,slice3d:()=>bo,slice4d:()=>ol,slice_util:()=>Kt,softmax:()=>Xa,softplus:()=>yo,spaceToBatchND:()=>Dc,sparse:()=>pT,sparseToDense:()=>XS,spectral:()=>oT,split:()=>zn,sqrt:()=>pn,square:()=>it,squaredDifference:()=>Jm,squeeze:()=>Ss,stack:()=>Ft,step:()=>xo,stridedSlice:()=>Iv,string:()=>cT,sub:()=>pe,sum:()=>fe,sumOutType:()=>_m,tan:()=>Sv,tanh:()=>ii,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Aa,tensor3d:()=>zc,tensor4d:()=>Ra,tensor5d:()=>BS,tensor6d:()=>VS,tensor_util:()=>Ua,test_util:()=>$S,tidy:()=>P,tile:()=>Ln,time:()=>hD,topk:()=>Tv,train:()=>Us,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Nv,unregisterGradient:()=>QF,unregisterKernel:()=>JF,unsortedSegmentSum:()=>ef,unstack:()=>lt,upcastType:()=>ma,upperBound:()=>US,util:()=>v,valueAndGrad:()=>fP,valueAndGrads:()=>gP,variable:()=>Cv,variableGrads:()=>gS,version:()=>_pe,version_converter:()=>F6,version_core:()=>Ez,version_layers:()=>mw,version_wasm:()=>kpe,version_webgl:()=>uJ,webgl:()=>pJ,webgl_util:()=>VC,where:()=>gn,whereAsync:()=>_v,zeros:()=>It,zerosLike:()=>qe});var rF=Object.create,gx=Object.defineProperty,sF=Object.getOwnPropertyDescriptor,iF=Object.getOwnPropertyNames,oF=Object.getPrototypeOf,lF=Object.prototype.hasOwnProperty,Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)gx(e,n,{get:t[n],enumerable:!0})},uF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of iF(t))!lF.call(e,r)&&r!==n&&gx(e,r,{get:()=>t[r],enumerable:!(a=sF(t,r))||a.enumerable});return e},hs=(e,t,n)=>(n=e!=null?rF(oF(e)):{},uF(t||!e||!e.__esModule?gx(n,"default",{value:e,enumerable:!0}):n,e)),pF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return $}else{if(S<=-y)return R;if(S+1>=y)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),j=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=J.toString(S);if(j=Z,j.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&!(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,j=S.high>>>16,K=S.high&65535,Z=S.low>>>16,J=S.low&65535,ee=0,ae=0,te=0,re=0;return re+=G+J,te+=re>>>16,re&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+j,ee&=65535,u(te<<16|re,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(b)&&S.lt(b))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,j=this.low&65535,K=S.high>>>16,Z=S.high&65535,J=S.low>>>16,ee=S.low&65535,ae=0,te=0,re=0,se=0;return se+=j*ee,re+=se>>>16,se&=65535,re+=G*ee,te+=re>>>16,re&=65535,re+=j*J,te+=re>>>16,re&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*J,ae+=te>>>16,te&=65535,te+=j*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*J+G*Z+j*K,ae&=65535,u(re<<16|se,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var j=this.shr(1);return B=j.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),J=l(B),ee=J.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,J=l(B,this.unsigned),ee=J.mul(S);J.isZero()&&(J=I),G=G.add(J),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),cF=Bt(()=>{}),dF=Bt(()=>{}),hF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),mF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),fF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),gF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),yF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,y,b=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(y=y+1640531527|0,h=b[g&127]^=m+y,f=h==0?f+1:0);for(f>=128&&(b[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=b[f+34&127],h=b[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,b[f]=m^h;d.w=y,d.X=b,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),bF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),xF=Bt(()=>{}),vF=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var $=b(y(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,b(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,$,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,$=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);${var n=hF(),a=mF(),r=fF(),s=gF(),i=yF(),o=bF(),l=vF();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),yI=Bt(()=>{}),yx=Bt(()=>{}),bI=Bt(()=>{}),wF=Bt(()=>{}),kF=Bt(()=>{}),IF=Bt(()=>{}),SF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=De&&st(ue.buffer),dt}function i(){return ue.buffer!=De&&st(ue.buffer),Hn}function o(){return ue.buffer!=De&&st(ue.buffer),Pt}function l(){return ue.buffer!=De&&st(ue.buffer),on}function u(){return ue.buffer!=De&&st(ue.buffer),Fn}function p(){return ue.buffer!=De&&st(ue.buffer),ia}function d(){return ue.buffer!=De&&st(ue.buffer),Rn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,q){h=D,m=q});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),y=[],b="./this.program",x=(D,q)=>{throw q},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function $(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof Ls||J("exiting due to exception: "+D)}if(T){var U=yx(),G=bI();I?E=G.dirname(E)+"/":E=__dirname+"/",R=(q,le)=>(q=Bo(q)?new URL(q):G.normalize(q),U.readFileSync(q,le?void 0:"utf8")),S=q=>{var le=R(q,!0);return le.buffer||(le=new Uint8Array(le)),le},F=(q,le,Te)=>{q=Bo(q)?new URL(q):G.normalize(q),U.readFile(q,function(Me,Fe){Me?Te(Me):le(Fe.buffer)})},process.argv.length>1&&(b=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(q){if(!(q instanceof Ls))throw q}),process.on("unhandledRejection",function(q){throw q}),x=(q,le)=>{if(ka())throw process.exitCode=q,le;B(le),process.exit(q)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=wF()}catch(q){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),q}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.send(null),q.responseText},I&&(S=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.responseType="arraybuffer",q.send(null),new Uint8Array(q.response)}),F=(D,q,le)=>{var Te=new XMLHttpRequest;Te.open("GET",D,!0),Te.responseType="arraybuffer",Te.onload=()=>{if(Te.status==200||Te.status==0&&Te.response){q(Te.response);return}le()},Te.onerror=le,Te.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=kF().performance);var j=console.log.bind(console),K=console.warn.bind(console);T&&(j=D=>U.writeSync(1,D+` `),K=D=>U.writeSync(2,D+` `));var Z=c.print||j,J=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(y=c.arguments),c.thisProgram&&(b=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,re=Atomics.compareExchange,se;c.wasmBinary&&(se=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Os("no native wasm support detected");var ue,ye,ke=!1,Se;function We(D,q){D||Os(q)}var Ge=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function pt(D,q,le){for(var Te=q+le,Me=q;D[Me]&&!(Me>=Te);)++Me;if(Me-q>16&&D.buffer&&Ge)return Ge.decode(D.buffer instanceof SharedArrayBuffer?D.slice(q,Me):D.subarray(q,Me));for(var Fe="";q>10,56320|la&1023)}}return Fe}function at(D,q){return D?pt(i(),D,q):""}function Qe(D,q,le,Te){if(!(Te>0))return 0;for(var Me=le,Fe=le+Te-1,me=0;me=55296&&we<=57343){var Nt=D.charCodeAt(++me);we=65536+((we&1023)<<10)|Nt&1023}if(we<=127){if(le>=Fe)break;q[le++]=we}else if(we<=2047){if(le+1>=Fe)break;q[le++]=192|we>>6,q[le++]=128|we&63}else if(we<=65535){if(le+2>=Fe)break;q[le++]=224|we>>12,q[le++]=128|we>>6&63,q[le++]=128|we&63}else{if(le+3>=Fe)break;q[le++]=240|we>>18,q[le++]=128|we>>12&63,q[le++]=128|we>>6&63,q[le++]=128|we&63}}return q[le]=0,le-Me}function et(D,q,le){return Qe(D,i(),q,le)}var De,dt,Hn,Pt,sa,on,Fn,ia,Rn;C&&(De=c.buffer);function st(D){De=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Pt=new Int16Array(D),c.HEAP32=on=new Int32Array(D),c.HEAPU8=Hn=new Uint8Array(D),c.HEAPU16=sa=new Uint16Array(D),c.HEAPU32=Fn=new Uint32Array(D),c.HEAPF32=ia=new Float32Array(D),c.HEAPF64=Rn=new Float64Array(D)}var Dn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,De=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Dn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw J("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&J("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");ue&&(De=ue.buffer),Dn=De.byteLength,st(De);var qn,br=[],zo=[],Qa=[],dp=!1;function ka(){return be}function Ur(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)hg(c.preRun.shift());mp(br)}function Zt(){dp=!0,!C&&mp(zo)}function gd(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)T1(c.postRun.shift());mp(Qa)}}function hg(D){br.unshift(D)}function mg(D){zo.unshift(D)}function T1(D){Qa.unshift(D)}var Gr=0,Wo=null,xr=null;function fg(D){Gr++,c.monitorRunDependencies&&c.monitorRunDependencies(Gr)}function yd(D){if(Gr--,c.monitorRunDependencies&&c.monitorRunDependencies(Gr),Gr==0&&(Wo!==null&&(clearInterval(Wo),Wo=null),xr)){var q=xr;xr=null,q()}}function Os(D){c.onAbort&&c.onAbort(D),D="Aborted("+D+")",J(D),ke=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var q=new WebAssembly.RuntimeError(D);throw m(q),q}var gg="data:application/octet-stream;base64,";function bd(D){return D.startsWith(gg)}function Bo(D){return D.startsWith("file://")}var mn;mn="tfjs-backend-wasm-threaded-simd.wasm",bd(mn)||(mn=$(mn));function xd(D){try{if(D==mn&&se)return new Uint8Array(se);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(q){Os(q)}}function yg(){if(!se&&(w||I)){if(typeof fetch=="function"&&!Bo(mn))return fetch(mn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+mn+"'";return D.arrayBuffer()}).catch(function(){return xd(mn)});if(F)return new Promise(function(D,q){F(mn,function(le){D(new Uint8Array(le))},q)})}return Promise.resolve().then(function(){return xd(mn)})}function bg(){var D={env:Fd,wasi_snapshot_preview1:Fd};function q(me,we){var Nt=me.exports;if(c.asm=Nt,Cg(c.asm._emscripten_tls_init),qn=c.asm.__indirect_function_table,mg(c.asm.__wasm_call_ctors),ye=we,!C){var la=$e.unusedWorkers.length;$e.unusedWorkers.forEach(function(wr){$e.loadWasmModuleToWorker(wr,function(){--la||yd("wasm-instantiate")})})}}C||fg("wasm-instantiate");function le(me){q(me.instance,me.module)}function Te(me){return yg().then(function(we){return WebAssembly.instantiate(we,D)}).then(function(we){return we}).then(me,function(we){J("failed to asynchronously prepare wasm: "+we),Os(we)})}function Me(){return!se&&typeof WebAssembly.instantiateStreaming=="function"&&!bd(mn)&&!Bo(mn)&&!T&&typeof fetch=="function"?fetch(mn,{credentials:"same-origin"}).then(function(me){var we=WebAssembly.instantiateStreaming(me,D);return we.then(le,function(Nt){return J("wasm streaming compile failed: "+Nt),J("falling back to ArrayBuffer instantiation"),Te(le)})}):Te(le)}if(c.instantiateWasm)try{var Fe=c.instantiateWasm(D,q);return Fe}catch(me){J("Module.instantiateWasm callback failed with error: "+me),m(me)}return Me().catch(m),{}}var N1,C1,vd={};function Ls(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function xg(D){var q=$e.pthreads[D];delete $e.pthreads[D],q.terminate(),Jy(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(q),1),q.pthread_ptr=0}function vg(D){var q=$e.pthreads[D];q.postMessage({cmd:"cancel"})}function hp(D){var q=$e.pthreads[D];We(q),$e.returnWorkerToPool(q)}function wg(D){var q=$e.getNewWorker();if(!q)return 6;$e.runningWorkers.push(q),$e.pthreads[D.pthread_ptr]=q,q.pthread_ptr=D.pthread_ptr;var le={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return q.runPthread=()=>{T&&q.ref(),q.postMessage(le,D.transferList),delete q.runPthread},q.loaded&&q.runPthread(),0}var wd={varargs:void 0,get:function(){wd.varargs+=4;var D=l()[wd.varargs-4>>2];return D},getStr:function(D){var q=at(D);return q}};function kd(D){if(C)return Hr(1,1,D);Se=D,ka()||($e.terminateAllThreads(),c.onExit&&c.onExit(D),ke=!0),x(D,new Ls(D))}function kg(D,q){if(Se=D,!q&&C)throw Sd(D),"unwind";kd(D)}var Id=kg;function Ig(D){if(D instanceof Ls||D=="unwind")return Se;x(1,D)}var $e={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?$e.initWorker():$e.initMainThread()},initMainThread:function(){for(var D=8;D--;)$e.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values($e.pthreads))$e.returnWorkerToPool(D);for(var D of $e.unusedWorkers)D.terminate();$e.unusedWorkers=[]},returnWorkerToPool:function(D){var q=D.pthread_ptr;delete $e.pthreads[q],$e.unusedWorkers.push(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(D),1),D.pthread_ptr=0,T&&D.unref(),Jy(q)},receiveObjectTransfer:function(D){},threadInitTLS:function(){$e.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,q){D.onmessage=Fe=>{var me=Fe.data,we=me.cmd;if(D.pthread_ptr&&($e.currentProxiedOperationCallerThread=D.pthread_ptr),me.targetThread&&me.targetThread!=Ld()){var Nt=$e.pthreads[me.targetThread];Nt?Nt.postMessage(me,me.transferList):J('Internal error! Worker sent a message "'+we+'" to target pthread '+me.targetThread+", but that thread no longer exists!"),$e.currentProxiedOperationCallerThread=void 0;return}we==="processProxyingQueue"?fp(me.queue):we==="spawnThread"?wg(me):we==="cleanupThread"?hp(me.thread):we==="killThread"?xg(me.thread):we==="cancelThread"?vg(me.thread):we==="loaded"?(D.loaded=!0,T&&D.unref(),q&&q(D),D.runPthread&&D.runPthread()):we==="print"?Z("Thread "+me.threadId+": "+me.text):we==="printErr"?J("Thread "+me.threadId+": "+me.text):we==="alert"?alert("Thread "+me.threadId+": "+me.text):me.target==="setimmediate"?D.postMessage(me):we==="callHandler"?c[me.handler](...me.args):we&&J("worker sent an unknown command "+we),$e.currentProxiedOperationCallerThread=void 0},D.onerror=Fe=>{var me="worker sent an error!";throw J(me+" "+Fe.filename+":"+Fe.lineno+": "+Fe.message),Fe},T&&(D.on("message",function(Fe){D.onmessage({data:Fe})}),D.on("error",function(Fe){D.onerror(Fe)}),D.on("detachedExit",function(){}));var le=[],Te=["onExit","onAbort","print","printErr"];for(var Me of Te)c.hasOwnProperty(Me)&&le.push(Me);D.postMessage({cmd:"load",handlers:le,urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:ye})},allocateUnusedWorker:function(){var D,q=$("tfjs-backend-wasm-threaded-simd.worker.js");D=new Worker(q),$e.unusedWorkers.push(D)},getNewWorker:function(){return $e.unusedWorkers.length==0&&($e.allocateUnusedWorker(),$e.loadWasmModuleToWorker($e.unusedWorkers[0])),$e.unusedWorkers.pop()}};c.PThread=$e;function mp(D){for(;D.length>0;)D.shift()(c)}function Sg(){var D=Ld(),q=l()[D+52>>2],le=l()[D+56>>2],Te=q-le;R1(q,Te),zd(q)}c.establishStackSpace=Sg;function Sd(D){if(C)return Hr(2,0,D);try{Id(D)}catch(q){Ig(q)}}var Vo=[];function Tg(D){var q=Vo[D];return q||(D>=Vo.length&&(Vo.length=D+1),Vo[D]=q=qn.get(D)),q}function Ng(D,q){var le=Tg(D)(q);ka()?$e.setExitStatus(le):F1(le)}c.invokeEntryPoint=Ng;function Cg(D){$e.tlsInitFunctions.push(D)}function _g(D){E1(D,!I,1,!w),$e.threadInitTLS()}function Eg(D){C?postMessage({cmd:"cleanupThread",thread:D}):hp(D)}function Td(D,q,le,Te){return C?Hr(3,1,D,q,le,Te):Nd(D,q,le,Te)}function Nd(D,q,le,Te){if(typeof SharedArrayBuffer=="undefined")return J("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Me=[],Fe=0;if(C&&(Me.length===0||Fe))return Td(D,q,le,Te);if(Fe)return Fe;var me={startRoutine:le,pthread_ptr:D,arg:Te,transferList:Me};return C?(me.cmd="spawnThread",postMessage(me,Me),0):wg(me)}function Ag(){return 65536}var $g=!0;function Fg(){return $g}function fp(D){Atomics.store(l(),D>>2,1),Ld()&&$1(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=fp;function Rg(D,q,le,Te){if(D==q)setTimeout(()=>fp(Te));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:Te});else{var Me=$e.pthreads[D];if(!Me)return;Me.postMessage({cmd:"processProxyingQueue",queue:Te})}return 1}function Dg(D,q,le){return-1}function Mg(){Os("")}function zs(D){zs.shown||(zs.shown={}),zs.shown[D]||(zs.shown[D]=1,T&&(D="warning: "+D),J(D))}function Pg(){T||I||zs("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Og(){return Date.now()}function Cd(){return 2147483648}function Lg(){return Cd()}var gp;T?gp=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:gp=()=>performance.timeOrigin+performance.now();function zg(D,q,le){i().copyWithin(D,q,q+le)}function Wg(){return T?IF().cpus().length:navigator.hardwareConcurrency}function Bg(D){var q=Qy(),le=D();return zd(q),le}function Hr(D,q){var le=arguments.length-2,Te=arguments;return Bg(()=>{for(var Me=le,Fe=Wd(Me*8),me=Fe>>3,we=0;we>3,Me=0;Me>>16),st(ue.buffer),1}catch(q){}}function Gg(D){var q=i().length;if(D=D>>>0,D<=q)return!1;var le=Cd();if(D>le)return!1;let Te=(Nt,la)=>Nt+(la-Nt%la)%la;for(var Me=1;Me<=4;Me*=2){var Fe=q*(1+.2/Me);Fe=Math.min(Fe,D+100663296);var me=Math.min(le,Te(Math.max(D,Fe),65536)),we=Ug(me);if(we)return!0}return!1}function Hg(){throw"unwind"}function _d(D){return C?Hr(4,1,D):52}function Ed(D,q,le,Te,Me){return C?Hr(5,1,D,q,le,Te,Me):70}var qg=[null,[],[]];function jg(D,q){var le=qg[D];q===0||q===10?((D===1?Z:J)(pt(le,0)),le.length=0):le.push(q)}function Ad(D,q,le,Te){if(C)return Hr(6,1,D,q,le,Te);for(var Me=0,Fe=0;Fe>2],we=u()[q+4>>2];q+=8;for(var Nt=0;Nt>2]=Me,0}function $d(D){var q=c["_"+D];return q}function Kg(D,q){s().set(D,q)}function Xg(D,q,le,Te,Me){var Fe={string:ua=>{var qo=0;if(ua!=null&&ua!==0){var P1=(ua.length<<2)+1;qo=Wd(P1),et(ua,qo,P1)}return qo},array:ua=>{var qo=Wd(ua.length);return Kg(ua,qo),qo}};function me(ua){return q==="string"?at(ua):q==="boolean"?Boolean(ua):ua}var we=$d(D),Nt=[],la=0;if(Te)for(var wr=0;wrme==="number"||me==="boolean"),Fe=q!=="string";return Fe&&Me&&!Te?$d(D):function(){return Xg(D,q,le,arguments,Te)}}$e.init();var Zg=[null,kd,Sd,Td,_d,Ed,Ad],Fd={__emscripten_init_main_thread_js:_g,__emscripten_thread_cleanup:Eg,__pthread_create_js:Nd,_emscripten_default_pthread_stack_size:Ag,_emscripten_get_now_is_monotonic:Fg,_emscripten_notify_task_queue:Rg,_emscripten_set_offscreencanvas_size:Dg,abort:Mg,emscripten_check_blocking_allowed:Pg,emscripten_date_now:Og,emscripten_get_heap_max:Lg,emscripten_get_now:gp,emscripten_memcpy_big:zg,emscripten_num_logical_cores:Wg,emscripten_receive_on_main_thread_js:Vg,emscripten_resize_heap:Gg,emscripten_unwind_to_js_event_loop:Hg,exit:Id,fd_close:_d,fd_seek:Ed,fd_write:Ad,memory:ue||c.wasmMemory},_1=bg(),Jg=c.___wasm_call_ctors=function(){return(Jg=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},Qg=c._init=function(){return(Qg=c._init=c.asm.init).apply(null,arguments)},ey=c._init_with_threads_count=function(){return(ey=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},ty=c._get_threads_count=function(){return(ty=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},ny=c._register_tensor=function(){return(ny=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},ay=c._dispose_data=function(){return(ay=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},ry=c._dispose=function(){return(ry=c._dispose=c.asm.dispose).apply(null,arguments)},sy=c._Abs=function(){return(sy=c._Abs=c.asm.Abs).apply(null,arguments)},iy=c._Add=function(){return(iy=c._Add=c.asm.Add).apply(null,arguments)},oy=c._AddN=function(){return(oy=c._AddN=c.asm.AddN).apply(null,arguments)},ly=c._All=function(){return(ly=c._All=c.asm.All).apply(null,arguments)},uy=c._Any=function(){return(uy=c._Any=c.asm.Any).apply(null,arguments)},py=c._ArgMax=function(){return(py=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},cy=c._AvgPool=function(){return(cy=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},dy=c._BatchMatMul=function(){return(dy=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},hy=c._Ceil=function(){return(hy=c._Ceil=c.asm.Ceil).apply(null,arguments)},my=c._ClipByValue=function(){return(my=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},fy=c._Conv2D=function(){return(fy=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},gy=c._Conv2DBackpropInput=function(){return(gy=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},yy=c._Cos=function(){return(yy=c._Cos=c.asm.Cos).apply(null,arguments)},by=c._Cosh=function(){return(by=c._Cosh=c.asm.Cosh).apply(null,arguments)},xy=c._CropAndResize=function(){return(xy=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},vy=c._Cumprod=function(){return(vy=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},wy=c._Cumsum=function(){return(wy=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},ky=c._DepthToSpace=function(){return(ky=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},Iy=c._DepthwiseConv2dNative=function(){return(Iy=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},Sy=c._Elu=function(){return(Sy=c._Elu=c.asm.Elu).apply(null,arguments)},Ty=c._Equal=function(){return(Ty=c._Equal=c.asm.Equal).apply(null,arguments)},Ny=c._Exp=function(){return(Ny=c._Exp=c.asm.Exp).apply(null,arguments)},Cy=c._FlipLeftRight=function(){return(Cy=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},_y=c._Floor=function(){return(_y=c._Floor=c.asm.Floor).apply(null,arguments)},Ey=c._FloorDiv=function(){return(Ey=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Ay=c._FusedBatchNorm=function(){return(Ay=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},$y=c._FusedConv2D=function(){return($y=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Fy=c._FusedDepthwiseConv2D=function(){return(Fy=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},Ry=c._Gather=function(){return(Ry=c._Gather=c.asm.Gather).apply(null,arguments)},Dy=c._GatherNd=function(){return(Dy=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},My=c._Greater=function(){return(My=c._Greater=c.asm.Greater).apply(null,arguments)},Py=c._GreaterEqual=function(){return(Py=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},Oy=c._IsNan=function(){return(Oy=c._IsNan=c.asm.IsNan).apply(null,arguments)},Ly=c._LeakyRelu=function(){return(Ly=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},zy=c._Less=function(){return(zy=c._Less=c.asm.Less).apply(null,arguments)},Wy=c._LessEqual=function(){return(Wy=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},By=c._Log=function(){return(By=c._Log=c.asm.Log).apply(null,arguments)},Vy=c._LogicalAnd=function(){return(Vy=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},Uy=c._LogicalNot=function(){return(Uy=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},Gy=c._LogicalOr=function(){return(Gy=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},Hy=c._LogicalXor=function(){return(Hy=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},qy=c._Max=function(){return(qy=c._Max=c.asm.Max).apply(null,arguments)},jy=c._MaxPool=function(){return(jy=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},Rd=c._Maximum=function(){return(Rd=c._Maximum=c.asm.Maximum).apply(null,arguments)},Dd=c._Mean=function(){return(Dd=c._Mean=c.asm.Mean).apply(null,arguments)},bp=c._Min=function(){return(bp=c._Min=c.asm.Min).apply(null,arguments)},Ky=c._Minimum=function(){return(Ky=c._Minimum=c.asm.Minimum).apply(null,arguments)},Xy=c._MirrorPad=function(){return(Xy=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},Uo=c._Multiply=function(){return(Uo=c._Multiply=c.asm.Multiply).apply(null,arguments)},Md=c._Neg=function(){return(Md=c._Neg=c.asm.Neg).apply(null,arguments)},Go=c._NonMaxSuppressionV3=function(){return(Go=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},Ho=c._NonMaxSuppressionV4=function(){return(Ho=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},Yy=c._NonMaxSuppressionV5=function(){return(Yy=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},Y=c._NotEqual=function(){return(Y=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},oe=c._OneHot=function(){return(oe=c._OneHot=c.asm.OneHot).apply(null,arguments)},Ie=c._PadV2=function(){return(Ie=c._PadV2=c.asm.PadV2).apply(null,arguments)},Xe=c._Pow=function(){return(Xe=c._Pow=c.asm.Pow).apply(null,arguments)},wt=c._Prelu=function(){return(wt=c._Prelu=c.asm.Prelu).apply(null,arguments)},kt=c._Prod=function(){return(kt=c._Prod=c.asm.Prod).apply(null,arguments)},He=c._RealDiv=function(){return(He=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Be=c._Reciprocal=function(){return(Be=c._Reciprocal=c.asm.Reciprocal).apply(null,arguments)},Ot=c._Relu=function(){return(Ot=c._Relu=c.asm.Relu).apply(null,arguments)},oa=c._Relu6=function(){return(oa=c._Relu6=c.asm.Relu6).apply(null,arguments)},vr=c._ResizeBilinear=function(){return(vr=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Pd=c._ResizeNearestNeighbor=function(){return(Pd=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},xp=c._Reverse=function(){return(xp=c._Reverse=c.asm.Reverse).apply(null,arguments)},Zy=c._RotateWithOffset=function(){return(Zy=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Mn=c._Round=function(){return(Mn=c._Round=c.asm.Round).apply(null,arguments)},qr=c._Rsqrt=function(){return(qr=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Od=c._ScatterNd=function(){return(Od=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},I$=c._SelectV2=function(){return(I$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},S$=c._Sigmoid=function(){return(S$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},T$=c._Sin=function(){return(T$=c._Sin=c.asm.Sin).apply(null,arguments)},N$=c._Softmax=function(){return(N$=c._Softmax=c.asm.Softmax).apply(null,arguments)},C$=c._SparseFillEmptyRows=function(){return(C$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},_$=c._SparseReshape=function(){return(_$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},E$=c._SparseSegmentReduction=function(){return(E$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},A$=c._Sqrt=function(){return(A$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},$$=c._Square=function(){return($$=c._Square=c.asm.Square).apply(null,arguments)},F$=c._SquaredDifference=function(){return(F$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},R$=c._Step=function(){return(R$=c._Step=c.asm.Step).apply(null,arguments)},D$=c._StridedSlice=function(){return(D$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},M$=c._Sub=function(){return(M$=c._Sub=c.asm.Sub).apply(null,arguments)},P$=c._Sum=function(){return(P$=c._Sum=c.asm.Sum).apply(null,arguments)},O$=c._Tan=function(){return(O$=c._Tan=c.asm.Tan).apply(null,arguments)},L$=c._Tanh=function(){return(L$=c._Tanh=c.asm.Tanh).apply(null,arguments)},z$=c._Tile=function(){return(z$=c._Tile=c.asm.Tile).apply(null,arguments)},W$=c._TopK=function(){return(W$=c._TopK=c.asm.TopK).apply(null,arguments)},B$=c._Transform=function(){return(B$=c._Transform=c.asm.Transform).apply(null,arguments)},V$=c._Transpose=function(){return(V$=c._Transpose=c.asm.Transpose).apply(null,arguments)},U$=c.__FusedMatMul=function(){return(U$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},G$=c._malloc=function(){return(G$=c._malloc=c.asm.malloc).apply(null,arguments)},H$=c._free=function(){return(H$=c._free=c.asm.free).apply(null,arguments)},q$=c.__emscripten_tls_init=function(){return(q$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Ld=c._pthread_self=function(){return(Ld=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},j$=c.___errno_location=function(){return(j$=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},E1=c.__emscripten_thread_init=function(){return(E1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},K$=c.__emscripten_thread_crashed=function(){return(K$=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},X$=c._emscripten_main_thread_process_queued_calls=function(){return(X$=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},Y$=c._emscripten_main_browser_thread_id=function(){return(Y$=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},A1=c._emscripten_run_in_main_runtime_thread_js=function(){return(A1=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},Z$=c._emscripten_dispatch_to_thread_=function(){return(Z$=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},$1=c.__emscripten_proxy_execute_task_queue=function(){return($1=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Jy=c.__emscripten_thread_free_data=function(){return(Jy=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},F1=c.__emscripten_thread_exit=function(){return(F1=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},R1=c._emscripten_stack_set_limits=function(){return(R1=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},Qy=c.stackSave=function(){return(Qy=c.stackSave=c.asm.stackSave).apply(null,arguments)},zd=c.stackRestore=function(){return(zd=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},Wd=c.stackAlloc=function(){return(Wd=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},J$=c.dynCall_iijjiiii=function(){return(J$=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},Q$=c.dynCall_jiji=function(){return(Q$=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=ka,c.wasmMemory=ue,c.cwrap=Yg,c.ExitStatus=Ls,c.PThread=$e;var Bd;xr=function D(){Bd||D1(),Bd||(xr=D)};function D1(D){if(D=D||y,Gr>0)return;if(C){h(c),Zt(),startWorker(c);return}if(Ur(),Gr>0)return;function q(){Bd||(Bd=!0,c.calledRun=!0,!ke&&(Zt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),gd()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),q()},1)):q()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();D1();var Vd;f&&(Vd={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var Ud;if(typeof WasmBackendModule!="undefined")Ud=WasmBackendModule;else if(typeof r!="undefined")Ud=r;else throw new Error("Could not find wasm module in post.js");if(Vd){var eF=Ud._dispose;Ud._dispose=function(){eF(),Vd.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),Vd.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),TF=Bt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" ");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),NF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(Y,oe){i=Y,o=oe});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(Y,oe)=>{throw oe},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function y(Y){return s.locateFile?s.locateFile(Y,g):g+Y}var b,x,w,I;function T(Y){Y instanceof Wo||R("exiting due to exception: "+Y)}if(f){var C=yx(),E=bI();m?g=E.dirname(g)+"/":g=__dirname+"/",b=(Y,oe)=>(Y=Ur(Y)?new URL(Y):E.normalize(Y),C.readFileSync(Y,oe?void 0:"utf8")),w=Y=>{var oe=b(Y,!0);return oe.buffer||(oe=new Uint8Array(oe)),oe},x=(Y,oe,Ie)=>{Y=Ur(Y)?new URL(Y):E.normalize(Y),C.readFile(Y,function(Xe,wt){Xe?Ie(Xe):oe(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(Y){if(!(Y instanceof Wo))throw Y}),process.on("unhandledRejection",function(Y){throw Y}),c=(Y,oe)=>{if(Hn())throw process.exitCode=Y,oe;T(oe),process.exit(Y)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",b=Y=>{var oe=new XMLHttpRequest;return oe.open("GET",Y,!1),oe.send(null),oe.responseText},m&&(w=Y=>{var oe=new XMLHttpRequest;return oe.open("GET",Y,!1),oe.responseType="arraybuffer",oe.send(null),new Uint8Array(oe.response)}),x=(Y,oe,Ie)=>{var Xe=new XMLHttpRequest;Xe.open("GET",Y,!0),Xe.responseType="arraybuffer",Xe.onload=()=>{if(Xe.status==200||Xe.status==0&&Xe.response){oe(Xe.response);return}Ie()},Xe.onerror=Ie,Xe.send(null)},I=Y=>document.title=Y);var $=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&Qa("no native wasm support detected");var B,U=!1,G;function j(Y,oe){Y||Qa(oe)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(Y,oe,Ie){for(var Xe=oe+Ie,wt=oe;Y[wt]&&!(wt>=Xe);)++wt;if(wt-oe>16&&Y.buffer&&K)return K.decode(Y.subarray(oe,wt));for(var kt="";oe>10,56320|oa&1023)}}return kt}function J(Y,oe){return Y?Z(se,Y,oe):""}function ee(Y,oe,Ie,Xe){if(!(Xe>0))return 0;for(var wt=Ie,kt=Ie+Xe-1,He=0;He=55296&&Be<=57343){var Ot=Y.charCodeAt(++He);Be=65536+((Be&1023)<<10)|Ot&1023}if(Be<=127){if(Ie>=kt)break;oe[Ie++]=Be}else if(Be<=2047){if(Ie+1>=kt)break;oe[Ie++]=192|Be>>6,oe[Ie++]=128|Be&63}else if(Be<=65535){if(Ie+2>=kt)break;oe[Ie++]=224|Be>>12,oe[Ie++]=128|Be>>6&63,oe[Ie++]=128|Be&63}else{if(Ie+3>=kt)break;oe[Ie++]=240|Be>>18,oe[Ie++]=128|Be>>12&63,oe[Ie++]=128|Be>>6&63,oe[Ie++]=128|Be&63}}return oe[Ie]=0,Ie-wt}function ae(Y,oe,Ie){return ee(Y,se,oe,Ie)}var te,re,se,be,ue,ye,ke,Se,We;function Ge(Y){te=Y,s.HEAP8=re=new Int8Array(Y),s.HEAP16=be=new Int16Array(Y),s.HEAP32=ye=new Int32Array(Y),s.HEAPU8=se=new Uint8Array(Y),s.HEAPU16=ue=new Uint16Array(Y),s.HEAPU32=ke=new Uint32Array(Y),s.HEAPF32=Se=new Float32Array(Y),s.HEAPF64=We=new Float64Array(Y)}var pt=s.INITIAL_MEMORY||16777216,at,Qe=[],et=[],De=[],dt=!1;function Hn(){return M}function Pt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Fn(s.preRun.shift());xr(Qe)}function sa(){dt=!0,xr(et)}function on(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Rn(s.postRun.shift());xr(De)}function Fn(Y){Qe.unshift(Y)}function ia(Y){et.unshift(Y)}function Rn(Y){De.unshift(Y)}var st=0,Dn=null,qn=null;function br(Y){st++,s.monitorRunDependencies&&s.monitorRunDependencies(st)}function zo(Y){if(st--,s.monitorRunDependencies&&s.monitorRunDependencies(st),st==0&&(Dn!==null&&(clearInterval(Dn),Dn=null),qn)){var oe=qn;qn=null,oe()}}function Qa(Y){s.onAbort&&s.onAbort(Y),Y="Aborted("+Y+")",R(Y),U=!0,G=1,Y+=". Build with -sASSERTIONS for more info.";var oe=new WebAssembly.RuntimeError(Y);throw o(oe),oe}var dp="data:application/octet-stream;base64,";function ka(Y){return Y.startsWith(dp)}function Ur(Y){return Y.startsWith("file://")}var Zt;Zt="tfjs-backend-wasm.wasm",ka(Zt)||(Zt=y(Zt));function gd(Y){try{if(Y==Zt&&S)return new Uint8Array(S);if(w)return w(Y);throw"both async and sync fetching of the wasm failed"}catch(oe){Qa(oe)}}function hg(){if(!S&&(h||m)){if(typeof fetch=="function"&&!Ur(Zt))return fetch(Zt,{credentials:"same-origin"}).then(function(Y){if(!Y.ok)throw"failed to load wasm binary file at '"+Zt+"'";return Y.arrayBuffer()}).catch(function(){return gd(Zt)});if(x)return new Promise(function(Y,oe){x(Zt,function(Ie){Y(new Uint8Array(Ie))},oe)})}return Promise.resolve().then(function(){return gd(Zt)})}function mg(){var Y={env:hp,wasi_snapshot_preview1:hp};function oe(He,Be){var Ot=He.exports;s.asm=Ot,B=s.asm.memory,Ge(B.buffer),at=s.asm.__indirect_function_table,ia(s.asm.__wasm_call_ctors),zo("wasm-instantiate")}br("wasm-instantiate");function Ie(He){oe(He.instance)}function Xe(He){return hg().then(function(Be){return WebAssembly.instantiate(Be,Y)}).then(function(Be){return Be}).then(He,function(Be){R("failed to asynchronously prepare wasm: "+Be),Qa(Be)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!ka(Zt)&&!Ur(Zt)&&!f&&typeof fetch=="function"?fetch(Zt,{credentials:"same-origin"}).then(function(He){var Be=WebAssembly.instantiateStreaming(He,Y);return Be.then(Ie,function(Ot){return R("wasm streaming compile failed: "+Ot),R("falling back to ArrayBuffer instantiation"),Xe(Ie)})}):Xe(Ie)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(Y,oe);return kt}catch(He){R("Module.instantiateWasm callback failed with error: "+He),o(He)}return wt().catch(o),{}}var T1,Gr;function Wo(Y){this.name="ExitStatus",this.message="Program terminated with exit("+Y+")",this.status=Y}function xr(Y){for(;Y.length>0;)Y.shift()(s)}function fg(){Qa("")}function yd(){return 2147483648}function Os(){return yd()}function gg(Y,oe,Ie){se.copyWithin(Y,oe,oe+Ie)}function bd(Y){try{return B.grow(Y-te.byteLength+65535>>>16),Ge(B.buffer),1}catch(oe){}}function Bo(Y){var oe=se.length;Y=Y>>>0;var Ie=yd();if(Y>Ie)return!1;let Xe=(Ot,oa)=>Ot+(oa-Ot%oa)%oa;for(var wt=1;wt<=4;wt*=2){var kt=oe*(1+.2/wt);kt=Math.min(kt,Y+100663296);var He=Math.min(Ie,Xe(Math.max(Y,kt),65536)),Be=bd(He);if(Be)return!0}return!1}var mn={varargs:void 0,get:function(){mn.varargs+=4;var Y=ye[mn.varargs-4>>2];return Y},getStr:function(Y){var oe=J(Y);return oe}};function xd(Y){return 52}function yg(Y,oe,Ie,Xe,wt){return 70}var bg=[null,[],[]];function N1(Y,oe){var Ie=bg[Y];oe===0||oe===10?((Y===1?$:R)(Z(Ie,0)),Ie.length=0):Ie.push(oe)}function C1(Y,oe,Ie,Xe){for(var wt=0,kt=0;kt>2],Be=ke[oe+4>>2];oe+=8;for(var Ot=0;Ot>2]=wt,0}function vd(Y){var oe=s["_"+Y];return oe}function Ls(Y,oe){re.set(Y,oe)}function xg(Y,oe,Ie,Xe,wt){var kt={string:Mn=>{var qr=0;if(Mn!=null&&Mn!==0){var Od=(Mn.length<<2)+1;qr=bp(Od),ae(Mn,qr,Od)}return qr},array:Mn=>{var qr=bp(Mn.length);return Ls(Mn,qr),qr}};function He(Mn){return oe==="string"?J(Mn):oe==="boolean"?Boolean(Mn):Mn}var Be=vd(Y),Ot=[],oa=0;if(Xe)for(var vr=0;vrHe==="number"||He==="boolean"),kt=oe!=="string";return kt&&wt&&!Xe?vd(Y):function(){return xg(Y,oe,Ie,arguments,Xe)}}var hp={abort:fg,emscripten_get_heap_max:Os,emscripten_memcpy_big:gg,emscripten_resize_heap:Bo,fd_close:xd,fd_seek:yg,fd_write:C1},wg=mg(),wd=s.___wasm_call_ctors=function(){return(wd=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},kd=s._init=function(){return(kd=s._init=s.asm.init).apply(null,arguments)},kg=s._init_with_threads_count=function(){return(kg=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},Id=s._get_threads_count=function(){return(Id=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},Ig=s._register_tensor=function(){return(Ig=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},$e=s._dispose_data=function(){return($e=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},mp=s._dispose=function(){return(mp=s._dispose=s.asm.dispose).apply(null,arguments)},Sg=s._Abs=function(){return(Sg=s._Abs=s.asm.Abs).apply(null,arguments)},Sd=s._Add=function(){return(Sd=s._Add=s.asm.Add).apply(null,arguments)},Vo=s._AddN=function(){return(Vo=s._AddN=s.asm.AddN).apply(null,arguments)},Tg=s._All=function(){return(Tg=s._All=s.asm.All).apply(null,arguments)},Ng=s._Any=function(){return(Ng=s._Any=s.asm.Any).apply(null,arguments)},Cg=s._ArgMax=function(){return(Cg=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},_g=s._AvgPool=function(){return(_g=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},Eg=s._BatchMatMul=function(){return(Eg=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Td=s._Ceil=function(){return(Td=s._Ceil=s.asm.Ceil).apply(null,arguments)},Nd=s._ClipByValue=function(){return(Nd=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Ag=s._Conv2D=function(){return(Ag=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},$g=s._Conv2DBackpropInput=function(){return($g=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Fg=s._Cos=function(){return(Fg=s._Cos=s.asm.Cos).apply(null,arguments)},fp=s._Cosh=function(){return(fp=s._Cosh=s.asm.Cosh).apply(null,arguments)},Rg=s._CropAndResize=function(){return(Rg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},Dg=s._Cumprod=function(){return(Dg=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},Mg=s._Cumsum=function(){return(Mg=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},zs=s._DepthToSpace=function(){return(zs=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},Pg=s._DepthwiseConv2dNative=function(){return(Pg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Og=s._Elu=function(){return(Og=s._Elu=s.asm.Elu).apply(null,arguments)},Cd=s._Equal=function(){return(Cd=s._Equal=s.asm.Equal).apply(null,arguments)},Lg=s._Exp=function(){return(Lg=s._Exp=s.asm.Exp).apply(null,arguments)},gp=s._FlipLeftRight=function(){return(gp=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},zg=s._Floor=function(){return(zg=s._Floor=s.asm.Floor).apply(null,arguments)},Wg=s._FloorDiv=function(){return(Wg=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Bg=s._FusedBatchNorm=function(){return(Bg=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Hr=s._FusedConv2D=function(){return(Hr=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},yp=s._FusedDepthwiseConv2D=function(){return(yp=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},Vg=s._Gather=function(){return(Vg=s._Gather=s.asm.Gather).apply(null,arguments)},Ug=s._GatherNd=function(){return(Ug=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},Gg=s._Greater=function(){return(Gg=s._Greater=s.asm.Greater).apply(null,arguments)},Hg=s._GreaterEqual=function(){return(Hg=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},_d=s._IsNan=function(){return(_d=s._IsNan=s.asm.IsNan).apply(null,arguments)},Ed=s._LeakyRelu=function(){return(Ed=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},qg=s._Less=function(){return(qg=s._Less=s.asm.Less).apply(null,arguments)},jg=s._LessEqual=function(){return(jg=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},Ad=s._Log=function(){return(Ad=s._Log=s.asm.Log).apply(null,arguments)},$d=s._LogicalAnd=function(){return($d=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},Kg=s._LogicalNot=function(){return(Kg=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},Xg=s._LogicalOr=function(){return(Xg=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},Yg=s._LogicalXor=function(){return(Yg=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},Zg=s._Max=function(){return(Zg=s._Max=s.asm.Max).apply(null,arguments)},Fd=s._MaxPool=function(){return(Fd=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},_1=s._Maximum=function(){return(_1=s._Maximum=s.asm.Maximum).apply(null,arguments)},Jg=s._Mean=function(){return(Jg=s._Mean=s.asm.Mean).apply(null,arguments)},Qg=s._Min=function(){return(Qg=s._Min=s.asm.Min).apply(null,arguments)},ey=s._Minimum=function(){return(ey=s._Minimum=s.asm.Minimum).apply(null,arguments)},ty=s._MirrorPad=function(){return(ty=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},ny=s._Multiply=function(){return(ny=s._Multiply=s.asm.Multiply).apply(null,arguments)},ay=s._Neg=function(){return(ay=s._Neg=s.asm.Neg).apply(null,arguments)},ry=s._NonMaxSuppressionV3=function(){return(ry=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},sy=s._NonMaxSuppressionV4=function(){return(sy=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},iy=s._NonMaxSuppressionV5=function(){return(iy=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},oy=s._NotEqual=function(){return(oy=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},ly=s._OneHot=function(){return(ly=s._OneHot=s.asm.OneHot).apply(null,arguments)},uy=s._PadV2=function(){return(uy=s._PadV2=s.asm.PadV2).apply(null,arguments)},py=s._Pow=function(){return(py=s._Pow=s.asm.Pow).apply(null,arguments)},cy=s._Prelu=function(){return(cy=s._Prelu=s.asm.Prelu).apply(null,arguments)},dy=s._Prod=function(){return(dy=s._Prod=s.asm.Prod).apply(null,arguments)},hy=s._RealDiv=function(){return(hy=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},my=s._Reciprocal=function(){return(my=s._Reciprocal=s.asm.Reciprocal).apply(null,arguments)},fy=s._Relu=function(){return(fy=s._Relu=s.asm.Relu).apply(null,arguments)},gy=s._Relu6=function(){return(gy=s._Relu6=s.asm.Relu6).apply(null,arguments)},yy=s._ResizeBilinear=function(){return(yy=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},by=s._ResizeNearestNeighbor=function(){return(by=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},xy=s._Reverse=function(){return(xy=s._Reverse=s.asm.Reverse).apply(null,arguments)},vy=s._RotateWithOffset=function(){return(vy=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},wy=s._Round=function(){return(wy=s._Round=s.asm.Round).apply(null,arguments)},ky=s._Rsqrt=function(){return(ky=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Iy=s._ScatterNd=function(){return(Iy=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Sy=s._SelectV2=function(){return(Sy=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Ty=s._Sigmoid=function(){return(Ty=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Ny=s._Sin=function(){return(Ny=s._Sin=s.asm.Sin).apply(null,arguments)},Cy=s._Softmax=function(){return(Cy=s._Softmax=s.asm.Softmax).apply(null,arguments)},_y=s._SparseFillEmptyRows=function(){return(_y=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},Ey=s._SparseReshape=function(){return(Ey=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Ay=s._SparseSegmentReduction=function(){return(Ay=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},$y=s._Sqrt=function(){return($y=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Fy=s._Square=function(){return(Fy=s._Square=s.asm.Square).apply(null,arguments)},Ry=s._SquaredDifference=function(){return(Ry=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Dy=s._Step=function(){return(Dy=s._Step=s.asm.Step).apply(null,arguments)},My=s._StridedSlice=function(){return(My=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},Py=s._Sub=function(){return(Py=s._Sub=s.asm.Sub).apply(null,arguments)},Oy=s._Sum=function(){return(Oy=s._Sum=s.asm.Sum).apply(null,arguments)},Ly=s._Tan=function(){return(Ly=s._Tan=s.asm.Tan).apply(null,arguments)},zy=s._Tanh=function(){return(zy=s._Tanh=s.asm.Tanh).apply(null,arguments)},Wy=s._Tile=function(){return(Wy=s._Tile=s.asm.Tile).apply(null,arguments)},By=s._TopK=function(){return(By=s._TopK=s.asm.TopK).apply(null,arguments)},Vy=s._Transform=function(){return(Vy=s._Transform=s.asm.Transform).apply(null,arguments)},Uy=s._Transpose=function(){return(Uy=s._Transpose=s.asm.Transpose).apply(null,arguments)},Gy=s.__FusedMatMul=function(){return(Gy=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},Hy=s._malloc=function(){return(Hy=s._malloc=s.asm.malloc).apply(null,arguments)},qy=s._free=function(){return(qy=s._free=s.asm.free).apply(null,arguments)},jy=s.___errno_location=function(){return(jy=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},Rd=s.stackSave=function(){return(Rd=s.stackSave=s.asm.stackSave).apply(null,arguments)},Dd=s.stackRestore=function(){return(Dd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},bp=s.stackAlloc=function(){return(bp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},Ky=s.dynCall_iijjiiii=function(){return(Ky=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},Xy=s.dynCall_jiji=function(){return(Xy=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=vg;var Uo;qn=function Y(){Uo||Md(),Uo||(qn=Y)};function Md(Y){if(Y=Y||p,st>0||(Pt(),st>0))return;function oe(){Uo||(Uo=!0,s.calledRun=!0,!U&&(sa(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),on()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),oe()},1)):oe()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Md();var Go;l&&(Go={uncaughtException:process.listeners("uncaughtException").filter(function(Y){return!l.uncaughtException.indexOf(Y)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(Y){return!l.unhandledRejection.indexOf(Y)>-1})});var Ho;if(typeof r!="undefined")Ho=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")Ho=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(Go){var Yy=Ho._dispose;Ho._dispose=function(){Yy(),Go.uncaughtException.forEach(function(Y){process.removeListener("uncaughtException",Y)}),Go.unhandledRejection.forEach(function(Y){process.removeListener("unhandledRejection",Y)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),Hh=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},ac=class{refCount(e){return jn("refCount")}incRef(e){return jn("incRef")}timerAvailable(){return!0}time(e){return jn("time")}read(e){return jn("read")}readSync(e){return jn("readSync")}readToGPU(e,t){return jn("readToGPU")}numDataIds(){return jn("numDataIds")}disposeData(e,t){return jn("disposeData")}write(e,t,n){return jn("write")}move(e,t,n,a,r){return jn("move")}createTensorFromGPUData(e,t,n){return jn("createTensorFromGPUData")}memory(){return jn("memory")}floatPrecision(){return jn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return jn("dispose")}};function jn(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function xI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,dh(e,t,n)}function CF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,dh(e,n,a),dh(t,n,a)}function zp(e,t,n){return Math.max(e,Math.min(t,n))}function _F(e){return e%2===0?e:e+1}function dh(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function EF(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function gi(e){A(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function mt(e){if(e.length===0)return 1;let t=e[0];for(let n=1;n0,n,a){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a!=null?a(o,l):setTimeout(o,l)};o()})}function OF(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function Fa(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),A(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),A(e.every(a=>nl(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function vI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Fa(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function wI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function kI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function II(e,t){for(let n=0;nt+=n.length),t}function Yr(e){return typeof e=="string"||e instanceof String}function NI(e){return typeof e=="boolean"}function CI(e){return typeof e=="number"}function qh(e){return Array.isArray(e)?qh(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":CI(e)?"float32":Yr(e)?"string":NI(e)?"bool":"float32"}function as(e){return!!(e&&e.constructor&&e.call&&e.apply)}function mh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function _I(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return _I(0,e,t,n)}function zF(e,t){if(Array.isArray(e))return e;if(t==="float32")return e instanceof Float32Array?e:new Float32Array(e);if(t==="int32")return e instanceof Int32Array?e:new Int32Array(e);if(t==="bool"||t==="string")return Uint8Array.from(new Int32Array(e));throw new Error(`Unknown dtype ${t}`)}function bx(e,t){let n=jh(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return Jo(e,new Float32Array(n));if(t==="int32")return Jo(e,new Int32Array(n));if(t==="bool")return Jo(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function na(e){e.forEach(t=>{A(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function BF(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=HF(n,a)})}};function UF(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(GF(t,a[0],a[1]),a.join("="))),t}function GF(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function HF(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return xx}var xx=null;function qF(e){xx=e}var nb;function AI(){if(nb==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");nb=e}return nb}function jF(){let e=AI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function vx(e,t){let n=jF();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var wl="Abs",kl="Acos",Il="Acosh",fs="Add",yi="AddN",Sl="All",Tl="Any",bi="ArgMax",rc="ArgMin",Nl="Asin",Cl="Asinh",_l="Atan",El="Atanh",Al="Atan2",xi="AvgPool",Xh="AvgPoolGrad",sc="AvgPool3D",Yh="AvgPool3DGrad",vi="BatchMatMul",$l="BatchToSpaceND",Zh="Bincount",$I="BroadcastTo",Jh="BroadcastArgs",wi="Cast",ki="Ceil",gs="ClipByValue",Qh="Complex",ic="ComplexAbs",Fl="Concat",Ii="Conv2D",em="Conv2DBackpropFilter",Si="Conv2DBackpropInput",oc="Conv3D",tm="Conv3DBackpropFilterV2",nm="Conv3DBackpropInputV2",Ti="Cos",Ni="Cosh",Rl="Cumprod",Ci="Cumsum",Dl="CropAndResize",am="DenseBincount",Ml="DepthToSpace",_i="DepthwiseConv2dNative",rm="DepthwiseConv2dNativeBackpropFilter",sm="DepthwiseConv2dNativeBackpropInput",im="Diag",lc="Dilation2D",fh="Dilation2DBackpropInput",gh="Dilation2DBackpropFilter",Ei="RealDiv",om="Einsum",Ai="Elu",lm="EluGrad",Pl="Erf",Ol="Equal",$i="Exp",Ll="ExpandDims",zl="Expm1",um="FFT",uc="Fill",Wl="FlipLeftRight",Fi="Floor",Ri="FloorDiv",Di="FusedBatchNorm",Bl="GatherV2",Vl="GatherNd",Ul="Greater",Mi="GreaterEqual",Pi="Identity",pm="IFFT",cm="Imag",Gl="IsFinite",Hl="IsInf",Oi="IsNan",Li="LeakyRelu",ql="Less",jl="LessEqual",dm="LinSpace",zi="Log",Kl="Log1p",Xl="LogicalAnd",Yl="LogicalNot",Zl="LogicalOr",FI="LogicalXor",RI="LogSoftmax",KF="LowerBound",pc="LRN",hm="LRNGrad",Wi="Max",Bi="Maximum",Vi="MaxPool",mm="MaxPoolGrad",cc="MaxPool3D",fm="MaxPool3DGrad",gm="MaxPoolWithArgmax",Ui="Mean",Gi="Min",Hi="Minimum",qi="MirrorPad",Jl="Mod",ym="Multinomial",ji="Multiply",Ql="Neg",eu="NotEqual",tu="NonMaxSuppressionV3",nu="NonMaxSuppressionV4",au="NonMaxSuppressionV5",ru="OnesLike",Ki="OneHot",su="Pack",Xi="PadV2",XF="Pool",Yi="Pow",Zi="Prelu",Ji="Prod",bm="RaggedGather",xm="RaggedRange",vm="RaggedTensorToTensor",dc="Range",wm="Real",Qi="Reciprocal",eo="Relu",iu="Reshape",to="ResizeNearestNeighbor",km="ResizeNearestNeighborGrad",no="ResizeBilinear",Im="ResizeBilinearGrad",ao="Relu6",ro="Reverse",so="Round",io="Rsqrt",ou="ScatterNd",Sm="SearchSorted",lu="Select",uu="Selu",pu="Slice",oo="Sin",cu="Sinh",du="Sign",lo="Sigmoid",hu="Softplus",uo="Sqrt",po="Sum",mu="SpaceToBatchND",fu="SplitV",co="Softmax",hc="SparseFillEmptyRows",gu="SparseReshape",mc="SparseSegmentMean",fc="SparseSegmentSum",Tm="SparseToDense",ho="SquaredDifference",gc="Square",yu="StridedSlice",yc="StringNGrams",bc="StringSplit",xc="StringToHashBucketFast",mo="Sub",fo="Tan",go="Tanh",ys="Tile",bu="TopK",xu="Transform",Cr="Transpose",Nm="Unique",vu="Unpack",vc="UnsortedSegmentSum",YF="UpperBound",wu="ZerosLike",bs="Step",yh="FromPixels",ku="RotateWithOffset",Qs="_FusedMatMul",ei="FusedConv2D",ti="FusedDepthwiseConv2D";function Xr(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function ZF(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var al=vx("kernelRegistry",()=>new Map),Wp=vx("gradRegistry",()=>new Map);function bh(e,t){let n=wx(e,t);return al.get(n)}function bb(e){return Wp.get(e)}function xh(e){let t=al.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function wc(e){let{kernelName:t,backendName:n}=e,a=wx(t,n);al.has(a)&&Xr(`The kernel '${t}' for backend '${n}' is already registered`),al.set(a,e)}function DI(e){let{kernelName:t}=e;Wp.has(t)&&H().getBool("DEBUG")&&Xr(`Overriding the gradient for '${t}'`),Wp.set(t,e)}function JF(e,t){let n=wx(e,t);if(!al.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);al.delete(n)}function QF(e){if(!Wp.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);Wp.delete(e)}function eR(e,t){xh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});wc(a)})}function wx(e,t){return`${t}_${e}`}var v={};Ae(v,{arraysEqual:()=>ms,assert:()=>A,assertNonNegativeIntegerDimensions:()=>na,assertNonNull:()=>gi,assertShapesMatch:()=>Sn,bytesFromStringArray:()=>TI,bytesPerElement:()=>hh,checkConversionForErrors:()=>II,clamp:()=>zp,computeStrides:()=>vl,convertBackendValuesAndArrayBuffer:()=>zF,createScalarValue:()=>iR,createShuffledIndices:()=>MF,decodeString:()=>vh,distSquared:()=>$F,encodeString:()=>Ic,fetch:()=>lR,fingerPrint64:()=>sR,flatten:()=>rs,getArrayFromDType:()=>kI,getTypedArrayFromDType:()=>wI,hasEncodingLoss:()=>LF,hexToLong:()=>kc,indexToLoc:()=>VF,inferDtype:()=>qh,inferFromImplicitShape:()=>OF,isBoolean:()=>NI,isFunction:()=>as,isInt:()=>nl,isNumber:()=>CI,isPromise:()=>Kh,isScalarShape:()=>FF,isString:()=>Yr,isTypedArray:()=>ln,isValidDtype:()=>SI,locToIndex:()=>BF,makeOnesTypedArray:()=>bx,makeZerosNestedTypedArray:()=>WF,makeZerosTypedArray:()=>jh,nearestDivisor:()=>mh,nearestLargerEven:()=>_F,now:()=>Bp,parseAxisParam:()=>Fa,randUniform:()=>AF,repeatedTry:()=>PF,rightPad:()=>Mp,shuffle:()=>xI,shuffleCombo:()=>CF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>DF,squeezeShape:()=>vI,sum:()=>EF,swap:()=>dh,tanh:()=>RF,toNestedArray:()=>Jo,toTypedArray:()=>Cm});var L1=hs(pF()),Gs=L1.default||L1;function kc(e){return Gs.fromString(e,!0,16)}var MI=kc("c3a5c85c97cb3127"),Vs=kc("b492b66fbe98f273"),xn=kc("9ae16a3b2f90404f");function xb(e){return e.xor(e.shru(47))}function PI(e,t,n){let a=e.slice(t,t+n);return Gs.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return PI(e,t,8)}function z1(e,t){return PI(e,t,4)}function Jt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function es(e,t,n=kc("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function tR(e,t,n,a,r,s){r=r.add(e),s=Jt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Jt(r,44)),[r.add(a),s.add(i)]}function Gd(e,t,n,a){return tR(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function nR(e,t=e.length){if(t>=8){let n=xn.add(t*2),a=ht(e,0).add(xn),r=ht(e,t-8),s=Jt(r,37).mul(n).add(a),i=Jt(a,25).add(r).mul(n);return es(s,i,n)}if(t>=4){let n=xn.add(t*2),a=z1(e,0);return es(a.shl(3).add(t),z1(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return xb(xn.mul(s).xor(MI.mul(i))).mul(xn)}return xn}function aR(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(Vs),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn);return es(Jt(a.add(r),43).add(Jt(s,30)).add(i),a.add(Jt(r.add(xn),18)).add(s),n)}function rR(e,t=e.length){let n=xn.add(t*2),a=ht(e,0).mul(xn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(xn),o=Jt(a.add(r),43).add(Jt(s,30)).add(i),l=es(o,a.add(Jt(r.add(xn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return es(Jt(u.add(p),43).add(Jt(d,30)).add(c),u.add(Jt(p.add(a),18)).add(d),n)}function sR(e,t=e.length){let n=Gs.fromNumber(81,!0);if(t<=32)return t<=16?nR(e,t):aR(e,t);if(t<=64)return rR(e,t);let a=n,r=n.mul(Vs).add(113),s=xb(r.mul(xn).add(113)).mul(xn),i=[Gs.UZERO,Gs.UZERO],o=[Gs.UZERO,Gs.UZERO];a=a.mul(xn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Jt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(Vs),r=Jt(r.add(i[1]).add(ht(e,l+48)),42).mul(Vs),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Jt(s.add(o[0]),33).mul(Vs),i=Gd(e,l,i[1].mul(Vs),a.add(o[0])),o=Gd(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=Vs.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Jt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Jt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Jt(s.add(o[0]),33).mul(d),i=Gd(e,l,i[1].mul(d),a.add(o[0])),o=Gd(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],es(es(i[0],o[0],d).add(xb(r).mul(MI)).add(s),es(i[1],o[1],d).add(a),d)}function iR(e,t){return t==="string"?Ic(e):Cm([e],t)}function oR(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Cm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=rs(e)),H().getBool("DEBUG")&&II(e,t),oR(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=Bp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:Bp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{pR(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function pR(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function dR(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!ms(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var W1=20,vp=3,ab=7;function mR(e,t,n,a){let r=vl(t),s=fR(e,t,n,r),i=t.length,o=ah(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` `)),l.join(` `)}function fR(e,t,n,a){let r=mt(t),s=a[a.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Np(e):e;if(o>1)for(let u=0;uW1){let f=vp*i,g=Array.from(e.slice(0,f)),y=Array.from(e.slice((o-vp)*i,o*i));return n==="complex64"&&(g=Np(g),y=Np(y)),["["+g.map((b,x)=>Tp(b,r[x],n)).join(", ")+", ..., "+y.map((b,x)=>Tp(b,r[o-vp+x],n)).join(", ")+"]"]}return["["+(n==="complex64"?Np(e):Array.from(e)).map((f,g)=>Tp(f,r[g],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>W1){for(let f=0;f0?c[0]+h:"");for(let f=1;f`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||kI(t,this.size),this.strides=vl(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;avh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Wa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Wa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>vh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Wa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Wa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Xo.print(this,e)}clone(){return this.throwIfDisposed(),Xo.clone(this)}toString(e=!1){let t=this.dataSync();return mR(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Xo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Wa().makeVariable(this,e,t,n)}};Object.defineProperty(Ne,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return vx("Tensor",()=>Ne)}Q();var ss=class extends Ne{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!ms(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Wa().disposeTensor(this),this.dataId=e.dataId,Wa().incRef(this,null)}dispose(){Wa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ss,Symbol.hasInstance,{value:e=>e instanceof Ne&&e.assign!=null&&e.assign instanceof Function});var Ua={};Ae(Ua,{assertTypesMatch:()=>LI,getTensorsInContainer:()=>kx,isTensorInList:()=>wR,makeTypesMatch:()=>Et});var vb;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(vb||(vb={}));var wb;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(wb||(wb={}));var kb;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(kb||(kb={}));var Ib;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Ib||(Ib={}));var Sb;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Sb||(Sb={}));var vR={float32:Ib,int32:wb,bool:kb,complex64:Sb};function ma(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return vR[e][t]}function _m(e){return ma(e,"int32")}function Et(e,t){if(e.dtype===t.dtype)return[e,t];let n=ma(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function LI(e,t){A(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function wR(e,t){return t.some(n=>n.id===e.id)}function kx(e){let t=[];return zI(e,t,new Set),t}function zI(e,t,n){if(e==null)return;if(e instanceof Ne){t.push(e);return}if(!kR(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),zI(s,t,n))}}function kR(e){return Array.isArray(e)||typeof e=="object"}function rb(e){return e.kernelName!=null}var B1=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Vp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new B1}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){xh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof ac)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Vp.nextTensorId++}nextVariableId(){return Vp.nextVariableId++}clone(e){let t=O.runKernel(Pi,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(wi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,bh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=rb(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(rb(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=bh(h,this.backendName);A(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let b=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,b);let x=b.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=rb(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=bb(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?(A(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&Yr(e[0])&&(r=e.map(o=>Ic(o)));let s=a.write(r,t,n),i=new Ne(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=TI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Ne(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ss(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*hh(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ss||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*hh(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=bb(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=jh(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=kx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if(A(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));A(r instanceof Ne,()=>"The result y returned by f() must be a tensor.");let s=dR(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?IR(r.shape):n,hR(i,s,l=>this.tidy(l),SR);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return A(as(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{A(t.every(i=>i instanceof Ne),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),A(n.value instanceof Ne,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),A(as(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];A(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),A(u.every(d=>d instanceof Ne),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Bp(),n=await this.backend.time(e);return n.wallMs=Bp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new B1;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Vp.nextTensorId=0;Vp.nextVariableId=0;function IR(e){let t=bx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function WI(){let e=AI();if(e._tfengine==null){let t=new EI(e);e._tfengine=new Vp(t)}return qF(e._tfengine.ENV),yR(()=>e._tfengine),e._tfengine}var O=WI();function SR(e,t){let n={a:e,b:t};return O.runKernel(fs,n)}var Sc={};Ae(Sc,{isBrowser:()=>BI,isMobile:()=>CR,mockIsMobile:()=>NR});function TR(){return typeof navigator!="undefined"&&navigator!=null}var Tb;function NR(e){Tb=e}function CR(e){if(Tb!==void 0)return Tb;if(e||TR()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function BI(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var fa=H();fa.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});fa.registerFlag("IS_BROWSER",()=>BI());fa.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");fa.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));fa.registerFlag("PROD",()=>!1);fa.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>fa.getBool("DEBUG"));fa.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);fa.registerFlag("IS_TEST",()=>!1);fa.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);fa.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);fa.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);fa.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function lr(e,t){let n=e;if(ln(e))return t==="string"?[]:[e.length];if(typeof e=="object"){if("texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(t==null?4:hh(t))]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||ln(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&VI(e,a,[]),a}function VI(e,t,n){if(n=n||[],!Array.isArray(e)&&!ln(e)){A(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}A(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),A(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),V1(a,r,t,n),e==null||!ln(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=lr(e,r);!ln(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Cm(e,r):rs(e,[],!0);return O.makeTensor(i,s,r)}function Up(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Ix="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Ix;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return Kh(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function _R(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Sn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(Qh,r)}var Er=L({complex_:_R});function xs(e,t,n,a){if(a==null)a=qh(e);else if(a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return O.backend.createTensorFromGPUData(e,t||n,a)}if(!ln(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){na(t);let r=mt(t),s=mt(n);A(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!ln(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Cm(e,a):rs(e,[],!0),O.makeTensor(e,t,a)}function fn(e,t,n){let a=lr(e,n);return xs(e,t,a,n)}var Nb={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},wh=4;async function ER(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,y)=>g+y.length,0)+wh*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Sx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function U1(e){return Sx?Buffer.byteLength(e):new Blob([e]).size}function $R(e){if(Sx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function G1(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function GI(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function HI(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Nx(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),HI(e,n,a)}function Tc(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:U1(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:U1(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function qI(e){let t=[];for(let n of e)t.push(...n.weights);return t}function RR(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function DR(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function MR(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function PR(){let e=RR(),t=DR(),n=MR();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var $t=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return $t.instance==null&&($t.instance=new $t),$t.instance}static registerSaveRouter(e){$t.getInstance().saveRouters.push(e)}static registerLoadRouter(e){$t.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return $t.getHandlers(e,"save")}static getLoadHandlers(e,t){return $t.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?$t.getInstance().loadRouters:$t.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},OR=e=>$t.registerSaveRouter(e),LR=e=>$t.registerLoadRouter(e),zR=e=>$t.getSaveHandlers(e),WR=(e,t)=>$t.getLoadHandlers(e,t),Cb="tensorflowjs",_b=1,Ks="models_store",Zr="model_info_store";function jI(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Eb(e){let t=e.result;t.createObjectStore(Ks,{keyPath:"modelPath"}),t.createObjectStore(Zr,{keyPath:"modelPath"})}var ni=class{constructor(e){if(this.indexedDB=jI(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Cb,_b);r.onupgradeneeded=()=>Eb(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Ks,"readonly"),o=i.objectStore(Ks).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Tc(t),o=s.transaction(Zr,"readwrite"),l=o.objectStore(Zr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Ks,"readwrite");let d=p.objectStore(Ks).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(Zr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ni.URL_SCHEME="indexeddb://";var KI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?BR(e.slice(ni.URL_SCHEME.length)):null;$t.registerSaveRouter(KI);$t.registerLoadRouter(KI);function BR(e){return new ni(e)}function VR(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var UR=class{constructor(){this.indexedDB=jI()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Cb,_b);n.onupgradeneeded=()=>Eb(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(Zr,"readonly"),s=r.objectStore(Zr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=VR(e),new Promise((t,n)=>{let a=this.indexedDB.open(Cb,_b);a.onupgradeneeded=()=>Eb(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(Zr,"readwrite"),i=s.objectStore(Zr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Ks,"readwrite");let d=l.objectStore(Ks).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Nr="/",Yo="tensorflowjs_models",XI="info",GR="model_topology",HR="weight_specs",qR="weight_data",jR="model_metadata";function YI(e){return{info:[Yo,e,XI].join(Nr),topology:[Yo,e,GR].join(Nr),weightSpecs:[Yo,e,HR].join(Nr),weightData:[Yo,e,qR].join(Nr),modelMetadata:[Yo,e,jR].join(Nr)}}function ZI(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function KR(e){let t=e.split(Nr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Nr)}function XR(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var ai=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=YI(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Tc(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,$R(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw ZI(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=FR(s),t}};ai.URL_SCHEME="localstorage://";var JI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?YR(e.slice(ai.URL_SCHEME.length)):null;$t.registerSaveRouter(JI);$t.registerLoadRouter(JI);function YR(e){return new ai(e)}var ZR=class{constructor(){A(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),A(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Yo+Nr,n=Nr+XI;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(Qo)&&(e=e.slice(0,e.indexOf(Qo))),A(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();A(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function rh(e){if(e.indexOf(Qo)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(Qo)[0],path:e.split(Qo)[1]}}async function QI(e,t,n=!1){A(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=$t.getLoadHandlers(e);A(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),A(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=$t.getSaveHandlers(t);A(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),A(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=rh(e).scheme,l=rh(e).path,u=o===rh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function JR(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+Qo+r;t[s]=a[r]}}return t}async function QR(e){let t=rh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function eD(e,t){return QI(e,t,!1)}async function tD(e,t){return QI(e,t,!0)}var nD=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new nD);try{Pn.registerManager(ai.URL_SCHEME,new ZR)}catch(e){}try{Pn.registerManager(ni.URL_SCHEME,new UR)}catch(e){}}var aD={importFetch:()=>cF()},sb,rD=class{constructor(){this.util=dF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(sb==null&&(sb=aD.importFetch()),sb(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new rD);function Le(e,t="float32",n){return t=t||"float32",na(e),new jt(e,t,n)}function sD(e,t){let n=_(e,"x","cast");if(!SI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(wi,a,r)}var ie=L({cast_:sD});function iD(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Pi,t)}var sr=L({clone_:iD});function Cx(e,t=!1){console.log(e.toString(t))}WI();var oD={buffer:Le,cast:ie,clone:sr,print:Cx};bR(oD);function lD(){H().set("PROD",!0)}function uD(){H().set("DEBUG",!0)}function pD(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function _x(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}xR(_x);function cD(){O.disposeVariables()}function Ca(){return O}function kh(){return O.memory()}function dD(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){kx(e).forEach(t=>t.dispose())}function Gt(e){return O.keep(e)}function hD(e){return O.time(e)}function mD(e){return O.setBackend(e)}function fD(){return O.ready()}function gD(){return O.backendName}function yD(e){O.removeBackend(e)}function bD(e){return O.findBackend(e)}function xD(e){return O.findBackendFactory(e)}function Em(e,t,n=1){return O.registerBackend(e,t,n)}function eS(){return O.backend}function vD(e,t){H().setPlatform(e,t)}function wD(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(fs,r)}var X=L({add_:wD});function kD(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ri,r)}var Am=L({floorDiv_:kD});function ID(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=Et(n,a),n.dtype==="int32"&&a.dtype==="int32")return Am(n,a);let r={a:n,b:a},s={};return O.runKernel(Ei,r,s)}var he=L({div_:ID});function SD(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(ji,r)}var z=L({mul_:SD});function TD(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(ic,n)}else{let n={x:t};return O.runKernel(wl,n)}}var Lt=L({abs_:TD});function ND(e){let t={x:_(e,"x","acos")};return O.runKernel(kl,t)}var Ex=L({acos_:ND});function CD(e){let t={x:_(e,"x","acosh")};return O.runKernel(Il,t)}var Ax=L({acosh_:CD});function _D(e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!ms(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(yi,a)}var tS=L({addN_:_D});function ED(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Sl,a,r)}var $m=L({all_:ED});function AD(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Tl,a,r)}var Gp=L({any_:AD});function $D(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(bi,n,a)}var ri=L({argMax_:$D});function FD(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(rc,n,a)}var $x=L({argMin_:FD});function RD(e){let t={x:_(e,"x","asin")};return O.runKernel(Nl,t)}var Fx=L({asin_:RD});function DD(e){let t={x:_(e,"x","asinh")};return O.runKernel(Cl,t)}var Rx=L({asinh_:DD});function MD(e){let t={x:_(e,"x","atan")};return O.runKernel(_l,t)}var Dx=L({atan_:MD});function PD(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Al,r)}var Mx=L({atan2_:PD});function OD(e){let t={x:_(e,"x","atanh")};return O.runKernel(El,t)}var Px=L({atanh_:OD});function LD(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=rS(r);return Nc(e,o,n,s,a,null,null,l)}function nS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Hp(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Nc(e,u,n,a,r,s,!1,i)}function zD(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Ab(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return aS(e,p,n,a,r,!1,d,s)}function Nc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Hp(n),[y,b]=Hp(a),x=el(c,y),w=el(h,b),{padInfo:I,outHeight:T,outWidth:C}=VD(r,u,p,f,g,x,w,s,o),E=i?m*d:m,$;return o==="channelsFirst"?$=[l,E,T,C]:o==="channelsLast"&&($=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:y,dilationWidth:b,inShape:e,outShape:$,filterShape:t}}function aS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[y,b,x]=Ab(n),[w,I,T]=Ab(a),C=el(h,w),E=el(m,I),$=el(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=UD(r,u,p,d,y,b,x,C,E,$,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:y,strideHeight:b,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:$,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function WD(e,t,n,a,r){a==null&&(a=Ox(e,t,n));let s=e[0],i=e[1],o=qp((s-t+2*a)/n+1,r),l=qp((i-t+2*a)/n+1,r);return[o,l]}function BD(e,t,n,a,r,s){r==null&&(r=Ox(e,t[0],a[0]));let i=[0,0,0,n];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=qp((e[o]-t[o]+2*r)/a[o]+1,s));return i}function Ox(e,t,n,a=1){let r=el(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Hp(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Ab(e){return typeof e=="number"?[e,e,e]:e}function el(e,t){return t<=1?e:e+(e-1)*(t-1)}function VD(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=WD([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),y=h-g;u={top:m,bottom:f,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=qp((t-s+c+h)/a+1,o),d=qp((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function UD(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(e==="valid"&&(e=0),typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=BD([t,n,a,1],[o,l,u],1,[r,s,i],e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,y=(m-1)*i+u-a,b=Math.floor(f/2),x=f-b,w=Math.floor(g/2),I=g-w,T=Math.floor(y/2),C=y-T;d={top:w,bottom:I,left:T,right:C,front:b,back:x,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function qp(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function is(e){let[t,n,a]=Hp(e);return t===1&&n===1&&a===1}function cr(e,t){return is(e)||is(t)}function si(e){return Hp(e).every(t=>t>0)}function rS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Tn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")A(nl(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{A(nl(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function GD(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(iu,n,a)}var W=L({reshape_:GD});function HD(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;A(cr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Tn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(xi,u,p);return d=ie(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ya=L({avgPool_:HD});function qD(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),A(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),A(typeof n=="number"&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${n}'`),Tn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(sc,u,p);return d=ie(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Lx=L({avgPool3d_:qD});function jD(e,t=0){A(e.length>=1,()=>"Pass at least one tensor to concat");let n=Up(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor +`;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function Np(e){let t=[];for(let n=0;n`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||kI(t,this.size),this.strides=vl(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;avh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Wa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Wa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>vh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Wa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Wa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Xo.print(this,e)}clone(){return this.throwIfDisposed(),Xo.clone(this)}toString(e=!1){let t=this.dataSync();return mR(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Xo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Wa().makeVariable(this,e,t,n)}};Object.defineProperty(Ne,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return vx("Tensor",()=>Ne)}Q();var ss=class extends Ne{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!ms(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Wa().disposeTensor(this),this.dataId=e.dataId,Wa().incRef(this,null)}dispose(){Wa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ss,Symbol.hasInstance,{value:e=>e instanceof Ne&&e.assign!=null&&e.assign instanceof Function});var Ua={};Ae(Ua,{assertTypesMatch:()=>LI,getTensorsInContainer:()=>kx,isTensorInList:()=>wR,makeTypesMatch:()=>Et});var vb;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(vb||(vb={}));var wb;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(wb||(wb={}));var kb;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(kb||(kb={}));var Ib;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(Ib||(Ib={}));var Sb;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Sb||(Sb={}));var vR={float32:Ib,int32:wb,bool:kb,complex64:Sb};function ma(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return vR[e][t]}function _m(e){return ma(e,"int32")}function Et(e,t){if(e.dtype===t.dtype)return[e,t];let n=ma(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function LI(e,t){A(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function wR(e,t){return t.some(n=>n.id===e.id)}function kx(e){let t=[];return zI(e,t,new Set),t}function zI(e,t,n){if(e==null)return;if(e instanceof Ne){t.push(e);return}if(!kR(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),zI(s,t,n))}}function kR(e){return Array.isArray(e)||typeof e=="object"}function rb(e){return e.kernelName!=null}var B1=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Vp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new B1}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){xh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof ac)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Vp.nextTensorId++}nextVariableId(){return Vp.nextVariableId++}clone(e){let t=O.runKernel(Pi,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(wi,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,bh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=rb(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(rb(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=bh(h,this.backendName);A(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let b=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,b);let x=b.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{a&&(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=rb(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=bb(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?(A(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&Yr(e[0])&&(r=e.map(o=>Ic(o)));let s=a.write(r,t,n),i=new Ne(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=TI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Ne(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ss(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*hh(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ss||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*hh(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=bb(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=jh(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=kx(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if(A(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));A(r instanceof Ne,()=>"The result y returned by f() must be a tensor.");let s=dR(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?IR(r.shape):n,hR(i,s,l=>this.tidy(l),SR);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return A(as(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{A(t.every(i=>i instanceof Ne),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),A(n.value instanceof Ne,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),A(as(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];A(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),A(u.every(d=>d instanceof Ne),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Bp(),n=await this.backend.time(e);return n.wallMs=Bp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new B1;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Vp.nextTensorId=0;Vp.nextVariableId=0;function IR(e){let t=bx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function WI(){let e=AI();if(e._tfengine==null){let t=new EI(e);e._tfengine=new Vp(t)}return qF(e._tfengine.ENV),yR(()=>e._tfengine),e._tfengine}var O=WI();function SR(e,t){let n={a:e,b:t};return O.runKernel(fs,n)}var Sc={};Ae(Sc,{isBrowser:()=>BI,isMobile:()=>CR,mockIsMobile:()=>NR});function TR(){return typeof navigator!="undefined"&&navigator!=null}var Tb;function NR(e){Tb=e}function CR(e){if(Tb!==void 0)return Tb;if(e||TR()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function BI(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var fa=H();fa.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});fa.registerFlag("IS_BROWSER",()=>BI());fa.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");fa.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));fa.registerFlag("PROD",()=>!1);fa.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>fa.getBool("DEBUG"));fa.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);fa.registerFlag("IS_TEST",()=>!1);fa.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);fa.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);fa.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);fa.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function lr(e,t){let n=e;if(ln(e))return t==="string"?[]:[e.length];if(typeof e=="object"){if("texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(t==null?4:hh(t))]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||ln(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&VI(e,a,[]),a}function VI(e,t,n){if(n=n||[],!Array.isArray(e)&&!ln(e)){A(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}A(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),A(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),V1(a,r,t,n),e==null||!ln(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=lr(e,r);!ln(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Cm(e,r):rs(e,[],!0);return O.makeTensor(i,s,r)}function Up(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var Ix="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+Ix;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return Kh(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function _R(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Sn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(Qh,r)}var Er=L({complex_:_R});function xs(e,t,n,a){if(a==null)a=qh(e);else if(a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return O.backend.createTensorFromGPUData(e,t||n,a)}if(!ln(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){na(t);let r=mt(t),s=mt(n);A(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!ln(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Cm(e,a):rs(e,[],!0),O.makeTensor(e,t,a)}function fn(e,t,n){let a=lr(e,n);return xs(e,t,a,n)}var Nb={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},wh=4;async function ER(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,y)=>g+y.length,0)+wh*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Sx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function U1(e){return Sx?Buffer.byteLength(e):new Blob([e]).size}function $R(e){if(Sx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function G1(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function GI(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function HI(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Nx(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),HI(e,n,a)}function Tc(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:U1(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:U1(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function qI(e){let t=[];for(let n of e)t.push(...n.weights);return t}function RR(){let e=n=>{let a=n<<13,r=0;for(;!(a&8388608);)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function DR(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function MR(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function PR(){let e=RR(),t=DR(),n=MR();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var $t=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return $t.instance==null&&($t.instance=new $t),$t.instance}static registerSaveRouter(e){$t.getInstance().saveRouters.push(e)}static registerLoadRouter(e){$t.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return $t.getHandlers(e,"save")}static getLoadHandlers(e,t){return $t.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?$t.getInstance().loadRouters:$t.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},OR=e=>$t.registerSaveRouter(e),LR=e=>$t.registerLoadRouter(e),zR=e=>$t.getSaveHandlers(e),WR=(e,t)=>$t.getLoadHandlers(e,t),Cb="tensorflowjs",_b=1,Ks="models_store",Zr="model_info_store";function jI(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Eb(e){let t=e.result;t.createObjectStore(Ks,{keyPath:"modelPath"}),t.createObjectStore(Zr,{keyPath:"modelPath"})}var ni=class{constructor(e){if(this.indexedDB=jI(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Cb,_b);r.onupgradeneeded=()=>Eb(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Ks,"readonly"),o=i.objectStore(Ks).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=Tc(t),o=s.transaction(Zr,"readwrite"),l=o.objectStore(Zr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Ks,"readwrite");let d=p.objectStore(Ks).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(Zr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ni.URL_SCHEME="indexeddb://";var KI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ni.URL_SCHEME)?BR(e.slice(ni.URL_SCHEME.length)):null;$t.registerSaveRouter(KI);$t.registerLoadRouter(KI);function BR(e){return new ni(e)}function VR(e){return e.startsWith(ni.URL_SCHEME)?e.slice(ni.URL_SCHEME.length):e}var UR=class{constructor(){this.indexedDB=jI()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Cb,_b);n.onupgradeneeded=()=>Eb(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(Zr,"readonly"),s=r.objectStore(Zr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=VR(e),new Promise((t,n)=>{let a=this.indexedDB.open(Cb,_b);a.onupgradeneeded=()=>Eb(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(Zr,"readwrite"),i=s.objectStore(Zr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Ks,"readwrite");let d=l.objectStore(Ks).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Nr="/",Yo="tensorflowjs_models",XI="info",GR="model_topology",HR="weight_specs",qR="weight_data",jR="model_metadata";function YI(e){return{info:[Yo,e,XI].join(Nr),topology:[Yo,e,GR].join(Nr),weightSpecs:[Yo,e,HR].join(Nr),weightData:[Yo,e,qR].join(Nr),modelMetadata:[Yo,e,jR].join(Nr)}}function ZI(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function KR(e){let t=e.split(Nr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Nr)}function XR(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var ai=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=YI(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=Tc(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,$R(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw ZI(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=FR(s),t}};ai.URL_SCHEME="localstorage://";var JI=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?YR(e.slice(ai.URL_SCHEME.length)):null;$t.registerSaveRouter(JI);$t.registerLoadRouter(JI);function YR(e){return new ai(e)}var ZR=class{constructor(){A(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),A(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Yo+Nr,n=Nr+XI;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(Qo)&&(e=e.slice(0,e.indexOf(Qo))),A(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();A(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function rh(e){if(e.indexOf(Qo)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(Qo)[0],path:e.split(Qo)[1]}}async function QI(e,t,n=!1){A(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=$t.getLoadHandlers(e);A(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),A(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=$t.getSaveHandlers(t);A(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),A(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=rh(e).scheme,l=rh(e).path,u=o===rh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function JR(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+Qo+r;t[s]=a[r]}}return t}async function QR(e){let t=rh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function eD(e,t){return QI(e,t,!1)}async function tD(e,t){return QI(e,t,!0)}var nD=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new nD);try{Pn.registerManager(ai.URL_SCHEME,new ZR)}catch(e){}try{Pn.registerManager(ni.URL_SCHEME,new UR)}catch(e){}}var aD={importFetch:()=>cF()},sb,rD=class{constructor(){this.util=dF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(sb==null&&(sb=aD.importFetch()),sb(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new rD);function Le(e,t="float32",n){return t=t||"float32",na(e),new jt(e,t,n)}function sD(e,t){let n=_(e,"x","cast");if(!SI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(wi,a,r)}var ie=L({cast_:sD});function iD(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Pi,t)}var sr=L({clone_:iD});function Cx(e,t=!1){console.log(e.toString(t))}WI();var oD={buffer:Le,cast:ie,clone:sr,print:Cx};bR(oD);function lD(){H().set("PROD",!0)}function uD(){H().set("DEBUG",!0)}function pD(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function _x(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}xR(_x);function cD(){O.disposeVariables()}function Ca(){return O}function kh(){return O.memory()}function dD(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){kx(e).forEach(t=>t.dispose())}function Gt(e){return O.keep(e)}function hD(e){return O.time(e)}function mD(e){return O.setBackend(e)}function fD(){return O.ready()}function gD(){return O.backendName}function yD(e){O.removeBackend(e)}function bD(e){return O.findBackend(e)}function xD(e){return O.findBackendFactory(e)}function Em(e,t,n=1){return O.registerBackend(e,t,n)}function eS(){return O.backend}function vD(e,t){H().setPlatform(e,t)}function wD(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(fs,r)}var X=L({add_:wD});function kD(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ri,r)}var Am=L({floorDiv_:kD});function ID(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=Et(n,a),n.dtype==="int32"&&a.dtype==="int32")return Am(n,a);let r={a:n,b:a},s={};return O.runKernel(Ei,r,s)}var he=L({div_:ID});function SD(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(ji,r)}var z=L({mul_:SD});function TD(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(ic,n)}else{let n={x:t};return O.runKernel(wl,n)}}var Lt=L({abs_:TD});function ND(e){let t={x:_(e,"x","acos")};return O.runKernel(kl,t)}var Ex=L({acos_:ND});function CD(e){let t={x:_(e,"x","acosh")};return O.runKernel(Il,t)}var Ax=L({acosh_:CD});function _D(e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!ms(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(yi,a)}var tS=L({addN_:_D});function ED(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Sl,a,r)}var $m=L({all_:ED});function AD(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Tl,a,r)}var Gp=L({any_:AD});function $D(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(bi,n,a)}var ri=L({argMax_:$D});function FD(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(rc,n,a)}var $x=L({argMin_:FD});function RD(e){let t={x:_(e,"x","asin")};return O.runKernel(Nl,t)}var Fx=L({asin_:RD});function DD(e){let t={x:_(e,"x","asinh")};return O.runKernel(Cl,t)}var Rx=L({asinh_:DD});function MD(e){let t={x:_(e,"x","atan")};return O.runKernel(_l,t)}var Dx=L({atan_:MD});function PD(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Al,r)}var Mx=L({atan2_:PD});function OD(e){let t={x:_(e,"x","atanh")};return O.runKernel(El,t)}var Px=L({atanh_:OD});function LD(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=rS(r);return Nc(e,o,n,s,a,null,null,l)}function nS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Hp(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Nc(e,u,n,a,r,s,!1,i)}function zD(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Ab(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return aS(e,p,n,a,r,!1,d,s)}function Nc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Hp(n),[y,b]=Hp(a),x=el(c,y),w=el(h,b),{padInfo:I,outHeight:T,outWidth:C}=VD(r,u,p,f,g,x,w,s,o),E=i?m*d:m,$;return o==="channelsFirst"?$=[l,E,T,C]:o==="channelsLast"&&($=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:y,dilationWidth:b,inShape:e,outShape:$,filterShape:t}}function aS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[y,b,x]=Ab(n),[w,I,T]=Ab(a),C=el(h,w),E=el(m,I),$=el(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=UD(r,u,p,d,y,b,x,C,E,$,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:y,strideHeight:b,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:$,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function WD(e,t,n,a,r){a==null&&(a=Ox(e,t,n));let s=e[0],i=e[1],o=qp((s-t+2*a)/n+1,r),l=qp((i-t+2*a)/n+1,r);return[o,l]}function BD(e,t,n,a,r,s){r==null&&(r=Ox(e,t[0],a[0]));let i=[0,0,0,n];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=qp((e[o]-t[o]+2*r)/a[o]+1,s));return i}function Ox(e,t,n,a=1){let r=el(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Hp(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Ab(e){return typeof e=="number"?[e,e,e]:e}function el(e,t){return t<=1?e:e+(e-1)*(t-1)}function VD(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=WD([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),y=h-g;u={top:m,bottom:f,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=qp((t-s+c+h)/a+1,o),d=qp((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function UD(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(e==="valid"&&(e=0),typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=BD([t,n,a,1],[o,l,u],1,[r,s,i],e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,y=(m-1)*i+u-a,b=Math.floor(f/2),x=f-b,w=Math.floor(g/2),I=g-w,T=Math.floor(y/2),C=y-T;d={top:w,bottom:I,left:T,right:C,front:b,back:x,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function qp(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function is(e){let[t,n,a]=Hp(e);return t===1&&n===1&&a===1}function cr(e,t){return is(e)||is(t)}function si(e){return Hp(e).every(t=>t>0)}function rS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Tn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")A(nl(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{A(nl(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function GD(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(iu,n,a)}var W=L({reshape_:GD});function HD(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;A(cr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Tn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(xi,u,p);return d=ie(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ya=L({avgPool_:HD});function qD(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),A(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),A(typeof n=="number"&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${n}'`),Tn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(sc,u,p);return d=ie(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Lx=L({avgPool3d_:qD});function jD(e,t=0){A(e.length>=1,()=>"Pass at least one tensor to concat");let n=Up(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor with dtype ${s.dtype}. `)}),n.length===1)return sr(n[0]);let a=n,r={axis:t};return O.runKernel(Fl,a,r)}var Ze=L({concat_:jD});function KD(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=Et(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(vi,i,o)}var Re=L({matMul_:KD});function XD(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(lo,t)}var da=L({sigmoid_:XD});function YD(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(pu,r,s)}var Ve=L({slice_:YD});function ZD(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(go,t)}var ii=L({tanh_:ZD});function JD(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Re(c,o),m=X(h,l),f=m.shape[0],g=m.shape[1]/4,y=[f,g],b=Ve(m,[0,0],y),x=Ve(m,[0,g],y),w=Ve(m,[0,g*2],y),I=Ve(m,[0,g*3],y),T=X(z(da(b),ii(x)),z(p,da(X(i,w)))),C=z(ii(T),da(I));return[T,C]}var sS=L({basicLSTMCell_:JD});function QD(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);A(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),A(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),A(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel($l,s,i)}var Cc=L({batchToSpaceND_:QD});function eM(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function tM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),A(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:eM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Di,d,c);return W(h,i.shape)}var vs=L({batchNorm_:tM});function nM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),A(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),A(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),vs(i,o,l,p,u,s)}var zx=L({batchNorm2d_:nM});function aM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),A(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),A(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),vs(i,o,l,p,u,s)}var Wx=L({batchNorm3d_:aM});function rM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),A(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),A(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),vs(i,o,l,p,u,s)}var Bx=L({batchNorm4d_:rM});function sM(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");A(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),A(n>=0,()=>`size must be non-negative, but got ${n}.`),A(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(Zh,s,i)}var Vx=L({bincount_:sM});function iM(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(Jh,r)}var iS=L({broadcastArgs_:iM});function oM(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(na(t),t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return sr(n);let i={x:n},o={reps:s};return O.runKernel(ys,i,o)}var Ys=L({broadcastTo_:oM});function lM(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(ki,t)}var Ux=L({ceil_:lM});function bn(e,t,n){na(e);let a={shape:e,value:t,dtype:n};return O.runKernel(uc,{},a)}function uM(e,t,n){let a=_(e,"x","clipByValue");if(A(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return bn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(gs,r,s)}var tn=L({clipByValue_:uM});function pM(e){return Ze(e,0)}var Gx=L({concat1d_:pM});function cM(e,t){return Ze(e,t)}var Hx=L({concat2d_:cM});function dM(e,t){return Ze(e,t)}var qx=L({concat3d_:dM});function hM(e,t){return Ze(e,t)}var jx=L({concat4d_:hM});function mM(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),A(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),A(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Tn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];A(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),A(cr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),A(si(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),A(si(n),()=>"Error in conv2D: Strides should be larger than 0.");let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Ii,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Rt=L({conv2d_:mM});function fM(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1]])),A(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),A(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Tn("conv1d",a,i),A(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),A(cr(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),A(si(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),A(si(n),()=>"Error in conv1D: Stride should be larger than 0."),A(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=Rt(c,d,[1,n],a,"NHWC",[1,s],i);return p?W(h,[h.shape[2],h.shape[3]]):W(h,[h.shape[0],h.shape[2],h.shape[3]])}var Fm=L({conv1d_:fM});function gM(e,t,n,a,r,s="NHWC",i){A(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),A(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),A(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),A(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];A(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),A(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Tn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(Si,c,h);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Kx=L({conv2DBackpropInput_:gM});function yM(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return Kx(n,i,o,a,r,"NHWC",s)}var Rm=L({conv2dTranspose_:yM});function bM(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),A(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),A(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),A(cr(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),A(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`),A(si(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),A(si(n),()=>"Error in conv3D: Strides should be larger than 0.");let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(oc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var Xx=L({conv3d_:bM});function xM(e,t,n,a,r){A(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];A(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),A(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),A(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),A(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),A(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(nm,p,d);return o?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var oS=L({conv3DBackpropInput_:xM});function vM(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return oS(n,s,i,a,r)}var Yx=L({conv3dTranspose_:vM});function wM(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(Ti,t)}var _c=L({cos_:wM});function kM(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Ni,t)}var Dm=L({cosh_:kM});function IM(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Rl,r,s)}var jp=L({cumprod_:IM});function SM(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Ci,r,s)}var Mm=L({cumsum_:SM});function TM(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");A(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),A(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),A(n>=0,()=>`size must be non-negative, but got ${n}.`),A(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(am,i,o)}var Ih=L({denseBincount_:TM});function NM(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];A(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),A(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape ${a.shape}`),A(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying @@ -29,7 +29,7 @@ Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function iO(e,t ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(mc,i)}var LL=L({sparseSegmentMean_:OL});function zL(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(fc,i)}var WL=L({sparseSegmentSum_:zL});function BL(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(yc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var VL=L({stringNGrams_:BL});function UL(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(bc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var GL=L({stringSplit_:UL});function HL(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(xc,r,a)}var qL=L({stringToHashBucketFast_:HL}),oT={fft:Oc,ifft:ll,rfft:Lc,irfft:Zm},lT={hammingWindow:S3,hannWindow:eT,frame:tT,stft:_3},Ea={flipLeftRight:F3,grayscaleToRGB:D3,resizeNearestNeighbor:iT,resizeBilinear:sT,rotateWithOffset:P3,cropAndResize:A3,nonMaxSuppression:L3,nonMaxSuppressionAsync:q3,nonMaxSuppressionWithScore:K3,nonMaxSuppressionWithScoreAsync:Y3,nonMaxSuppressionPadded:J3,nonMaxSuppressionPaddedAsync:eL,threshold:sL,transform:oL},Pv={bandPart:uL,gramSchmidt:cL,qr:hL},uT={absoluteDifference:gL,computeWeightedLoss:Fr,cosineDistance:bL,hingeLoss:vL,huberLoss:kL,logLoss:SL,meanSquaredError:NL,sigmoidCrossEntropy:EL,softmaxCrossEntropy:FL},pT={sparseFillEmptyRows:DL,sparseReshape:PL,sparseSegmentMean:LL,sparseSegmentSum:WL},cT={stringNGrams:VL,stringSplit:GL,stringToHashBucketFast:qL},ne={};Ae(ne,{Serializable:()=>dT,SerializationMap:()=>Hs,registerClass:()=>hT});var dT=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Hs=class{constructor(){this.classNameMap={}}static getMap(){return Hs.instance==null&&(Hs.instance=new Hs),Hs.instance}static register(e){Hs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function hT(e){A(e.className!=null,()=>"Class being registered does not have the static className property defined."),A(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),A(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Hs.register(e)}var Rr=class extends dT{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return _e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return gS(e,t)}dispose(){this.iterations_!=null&&_e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:xe(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Rr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var Ov=class extends Rr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adadelta"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>qe(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=X(z(i,this.rho),z(it(s),1-this.rho)),u=z(he(pn(X(o,this.epsilon)),pn(X(i,this.epsilon))),s),p=X(z(o,this.rho),z(it(u),1-this.rho));i.assign(l),o.assign(p);let d=X(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(_e(this.accumulatedGrads.map(e=>e.variable)),_e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}},Lv=class extends Rr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}static get className(){return"Adagrad"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>bn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=X(s,it(r));s.assign(i);let o=X(z(he(r,pn(X(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&_e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}},zv=class extends Rr{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=xe(t).variable(),this.accBeta2=xe(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adam"}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>qe(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>qe(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=X(z(u,this.beta1),z(l,1-this.beta1)),c=X(z(p,this.beta2),z(it(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=X(z(he(h,X(pn(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&_e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign(Ar(this.beta1,this.iterations_+1)),this.accBeta2.assign(Ar(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}},Wv=class extends Rr{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=xe(0).variable(),this.accBeta1=xe(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adamax"}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,X(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:qe(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:qe(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=X(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=dr(c,h);u.assign(d),p.assign(m);let f=X(z(he(a,n),he(d,X(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&_e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}},of=class extends Rr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}static get className(){return"SGD"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=X(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Gt(xe(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}},Bv=class extends of{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=xe(this.momentum)}static get className(){return"Momentum"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=X(z(this.m,r),s);this.useNesterov?i=X(z(this.c,X(s,z(o,this.m))),a):i=X(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&_e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}},Vv=class extends Rr{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}static get className(){return"RMSProp"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=X(z(i,this.decay),z(it(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=X(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),pn(pe(l,X(it(p),this.epsilon)))),c=X(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=X(z(i,this.decay),z(it(s),1-this.decay)),p=X(z(o,this.momentum),he(z(s,this.learningRate),pn(X(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&_e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&_e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&_e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}},jL=[Ov,Lv,zv,Wv,Bv,Vv,of];function KL(){for(let e of jL)hT(e)}var Ht={};Ae(Ht,{browserFiles:()=>tz,browserHTTPRequest:()=>iz,concatenateArrayBuffers:()=>Tx,copyModel:()=>eD,decodeWeights:()=>UI,encodeWeights:()=>ER,fromMemory:()=>lz,fromMemorySync:()=>bT,getLoadHandlers:()=>WR,getModelArtifactsForJSON:()=>Nx,getModelArtifactsForJSONSync:()=>HI,getModelArtifactsInfoForJSON:()=>Tc,getSaveHandlers:()=>zR,getWeightSpecs:()=>qI,http:()=>Gv,isHTTPScheme:()=>Fb,listModels:()=>JR,loadWeights:()=>nz,moveModel:()=>tD,registerLoadRouter:()=>LR,registerSaveRouter:()=>OR,removeModel:()=>QR,weightsLoaderFactory:()=>fT,withSaveHandler:()=>uz,withSaveHandlerSync:()=>pz});var XL="model",YL=".json",ZL=".weights.bin";function j1(e){return new Promise(t=>setTimeout(t)).then(e)}var pl=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(pl.URL_SCHEME)&&(e=e.slice(pl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=XL),this.modelJsonFileName=e+YL,this.weightDataFileName=e+ZL}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=GI(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await j1(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await j1(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Tc(e)}}}};pl.URL_SCHEME="downloads://";var JL=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=Nx(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Tx(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>G1(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=G1(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},QL=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(pl.URL_SCHEME)?ez(e.slice(pl.URL_SCHEME.length)):null;$t.registerSaveRouter(QL);function ez(e="model"){return new pl(e)}function tz(e){return new JL(e)}function K1(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){A(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){A(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),A(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),A(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function mT(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await K1(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await K1(i,t.onProgress,o,l)}async function nz(e,t="",n,a){return fT(r=>mT(r,{requestInit:a}))(e,t,n)}function fT(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let y="quantization"in g?g.quantization.dtype:g.dtype,b=Nb[y]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:b})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=b})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. -Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=UI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var az="application/octet-stream",rz="application/json",Uv=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=GI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:rz}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:az}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Tc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Nx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=sz(t),r=this.weightPathPrefix||n,s=qI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await mT(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Tx(l)]}};Uv.URL_SCHEME_REGEX=/^https?:\/\//;function sz(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Fb(e){return e.match(Uv.URL_SCHEME_REGEX)!=null}var gT=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Fb(a)):n=Fb(e),n)return Gv(e,t)}return null};$t.registerSaveRouter(gT);$t.registerLoadRouter(gT);function Gv(e,t){return new Uv(e,t)}function iz(e,t){return Gv(e,t)}var ib=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},yT=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},oz=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function lz(e,t,n,a){let r=arguments;return new oz(bT(...r))}function bT(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new ib(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ib({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ib({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function uz(e){return new yT(e)}function pz(e){return new yT(e)}var xT={};Ae(xT,{confusionMatrix:()=>dz});function cz(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");A(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),A(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),A(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),A(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),A(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=sl(ie(a,"int32"),n),i=sl(ie(r,"int32"),n),o=Ee(s),l=Re(o,i);return ie(l,"int32")}var dz=L({confusionMatrix_:cz}),vo={};Ae(vo,{fromPixels:()=>xz,fromPixelsAsync:()=>yz,toPixels:()=>bz});var Ws;function vT(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(bh(yh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(yh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Ws==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Ws=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Ws=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Ws.canvas.width=l,Ws.canvas.height=u,Ws.drawImage(e,0,0,l,u),p=Ws.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var xz=L({fromPixels_:vT}),Hv={};Ae(Hv,{prepareAndValidate:()=>wT});function wT(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Kt={};Ae(Kt,{assertParamsValid:()=>wz,computeFlatOffset:()=>Nz,computeOutShape:()=>Iz,getNormalizedAxes:()=>Sz,isSliceContinous:()=>Tz,maskToAxes:()=>kz,parseSliceParams:()=>AT,sliceInfo:()=>Cz,startForAxis:()=>_T,startIndicesWithElidedDims:()=>TT,stopForAxis:()=>ET,stopIndicesWithElidedDims:()=>NT,stridesForAxis:()=>CT,stridesWithElidedDims:()=>kT});var Rb=-2,vz=-1;function wz(e,t,n){let a=e.shape.length;A(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),A(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function kz(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function Iz(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=TT(i,h,m,a,e),d=NT(o,h,m,r,e),c=kT(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=IT(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=IT(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=zp(0,i,l-1),i}function ET(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=zp(0,i,l):i=zp(-1,i,l-1),i}function Tz(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function Nz(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{A(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:(A(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function Cz(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let b=0;b0?0:-1,c.strides[b]>0?w:w-1];if(x&&c.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[b]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[b]} of dimension ${b} out of bounds.`)}else c.begin[b]=X1(c.begin[b],0,c.strides[b],w,I,T),c.end[b]=X1(c.end[b],1,c.strides[b],w,I,T);let R=c.strides[b]===1&&c.begin[b]===0&&c.end[b]===w;h=h&&R,m=m&&(b===0&&c.strides[b]===1||R)}else h=h&&c.strides[b]===1&&C,m=m&&(b===0&&c.strides[b]===1||C);let E,$=!1;if(c.beginValid&&c.endValid?(E=c.end[b]-c.begin[b],$=!0):x?(E=1,$=!0):C&&w>=0&&(c.strides[b]<0?E=-w:E=w,$=!0),$){let R;E===0||E<0!=c.strides[b]<0?R=0:R=Math.trunc(E/c.strides[b])+(E%c.strides[b]!==0?1:0),g.push(R)}else g.push(-1)}for(let b=0;b=0?y.push(g[x]):x===Rb&&y.push(1)}return{finalShapeSparse:y.filter((b,x)=>c.finalShapeGatherIndices[x]!==Rb),finalShape:y,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function _z(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var Ez="4.2.0",$T=class{static sgd(e){return new of(e)}static momentum(e,t,n=!1){return new Bv(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Vv(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new zv(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new Ov(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new Wv(e,t,n,a,r)}static adagrad(e,t=.1){return new Lv(e,t)}},Us=$T,Az=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function qv(){return new Promise(e=>Az(()=>e()))}var N={};Ae(N,{ERF_A1:()=>Hz,ERF_A2:()=>qz,ERF_A3:()=>jz,ERF_A4:()=>Kz,ERF_A5:()=>Xz,ERF_P:()=>Gz,PARALLELIZE_THRESHOLD:()=>jv,RowPartitionType:()=>tr,SELU_SCALE:()=>RT,SELU_SCALEALPHA:()=>FT,applyActivation:()=>rf,assertAndGetBroadcastShape:()=>ot,assertAxesAreInnerMostDims:()=>LM,assertParamsConsistent:()=>$z,assignToTypedArray:()=>tW,axesAreInnerMostDims:()=>nv,calculateShapes:()=>jS,checkEinsumDimSizes:()=>oW,checkPadOnDimRoundingMode:()=>Tn,combineLocations:()=>cS,combineRaggedTensorToTensorShapes:()=>Rz,complexWithEvenIndex:()=>Jz,complexWithOddIndex:()=>Qz,computeConv2DInfo:()=>Nc,computeConv3DInfo:()=>aS,computeDefaultPad:()=>Ox,computeDilation2DInfo:()=>LD,computeOptimalWindowSize:()=>Oz,computeOutAndReduceShapes:()=>dS,computeOutShape:()=>Fz,computePool2DInfo:()=>nS,computePool3DInfo:()=>zD,convertConv2DDataFormat:()=>rS,decodeEinsumEquation:()=>sW,eitherStridesOrDilationsAreOne:()=>cr,expandShapeToKeepDim:()=>oi,exponent:()=>aW,exponents:()=>nW,fromStringArrayToUint8:()=>_W,fromUint8ToStringArray:()=>CW,getAxesPermutation:()=>hS,getBroadcastDims:()=>uS,getComplexWithIndex:()=>eW,getEinsumComputePath:()=>lW,getEinsumPermutation:()=>iW,getFusedBiasGradient:()=>af,getFusedDyActivation:()=>nf,getImageCenter:()=>Lz,getInnerMostAxes:()=>zM,getPermuted:()=>Wz,getRaggedRank:()=>Mz,getReductionAxes:()=>Wt,getReshaped:()=>zz,getReshapedPermuted:()=>Bz,getRowPartitionTypesHelper:()=>Dz,getSliceBeginCoords:()=>Vz,getSliceSize:()=>Uz,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>dW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>hW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>mW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>yW,getSparseReshapeInputOutputMismatchErrorMessage:()=>xW,getSparseReshapeInputOutputMultipleErrorMessage:()=>bW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>fW,getSparseReshapeNegativeOutputDimErrorMessage:()=>gW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>IW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>vW,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>wW,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>kW,getUndoAxesPermutation:()=>av,isIdentityPermutation:()=>uW,log:()=>ZF,mergeRealAndImagArrays:()=>Yz,prepareAndValidate:()=>wT,prepareSplitSize:()=>cW,segment_util:()=>DT,shouldFuse:()=>sf,slice_util:()=>Kt,splitRealAndImagArrays:()=>Zz,stridesOrDilationsArePositive:()=>si,tupleValuesAreOne:()=>is,upcastType:()=>ma,validateDefaultValueShape:()=>Pz,validateInput:()=>$v,validateUpdateShape:()=>Av,warn:()=>Xr});function $z(e,t){let n=e[0].length;e.forEach((r,s)=>{A(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),A(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function Fz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Dz(e){let t={FIRST_DIM_SIZE:tr.FIRST_DIM_SIZE,VALUE_ROWIDS:tr.VALUE_ROWIDS,ROW_LENGTHS:tr.ROW_LENGTHS,ROW_SPLITS:tr.ROW_SPLITS,ROW_LIMITS:tr.ROW_LIMITS,ROW_STARTS:tr.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function Mz(e){return e.length===0?0:e[0]===tr.FIRST_DIM_SIZE?e.length-1:e.length}function Pz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var jv=30;function Oz(e){return e<=jv?e:mh(e,Math.floor(Math.sqrt(e)))}function Lz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function zz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Bz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,Y1=",",Z1="...";function sW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(rW,"").length)/ob.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${ob}").`);let[a,r]=e.split(ob);A(a.indexOf(Z1)===-1,()=>`The ellipsis notation ("${Z1}") is not supported yet.`);let s=a.split(Y1),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function oW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function lW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function pW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);A(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}A(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function dW(e){return`Received SparseTensor with denseShape[0] = 0 but +Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=UI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var az="application/octet-stream",rz="application/json",Uv=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=GI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:rz}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:az}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Tc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Nx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=sz(t),r=this.weightPathPrefix||n,s=qI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await mT(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Tx(l)]}};Uv.URL_SCHEME_REGEX=/^https?:\/\//;function sz(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Fb(e){return e.match(Uv.URL_SCHEME_REGEX)!=null}var gT=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Fb(a)):n=Fb(e),n)return Gv(e,t)}return null};$t.registerSaveRouter(gT);$t.registerLoadRouter(gT);function Gv(e,t){return new Uv(e,t)}function iz(e,t){return Gv(e,t)}var ib=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},yT=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},oz=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function lz(e,t,n,a){let r=arguments;return new oz(bT(...r))}function bT(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new ib(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ib({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ib({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function uz(e){return new yT(e)}function pz(e){return new yT(e)}var xT={};Ae(xT,{confusionMatrix:()=>dz});function cz(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");A(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),A(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),A(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),A(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),A(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=sl(ie(a,"int32"),n),i=sl(ie(r,"int32"),n),o=Ee(s),l=Re(o,i);return ie(l,"int32")}var dz=L({confusionMatrix_:cz}),vo={};Ae(vo,{fromPixels:()=>xz,fromPixelsAsync:()=>yz,toPixels:()=>bz});var Ws;function vT(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(bh(yh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(yh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Ws==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Ws=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Ws=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Ws.canvas.width=l,Ws.canvas.height=u,Ws.drawImage(e,0,0,l,u),p=Ws.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var xz=L({fromPixels_:vT}),Hv={};Ae(Hv,{prepareAndValidate:()=>wT});function wT(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Kt={};Ae(Kt,{assertParamsValid:()=>wz,computeFlatOffset:()=>Nz,computeOutShape:()=>Iz,getNormalizedAxes:()=>Sz,isSliceContinous:()=>Tz,maskToAxes:()=>kz,parseSliceParams:()=>AT,sliceInfo:()=>Cz,startForAxis:()=>_T,startIndicesWithElidedDims:()=>TT,stopForAxis:()=>ET,stopIndicesWithElidedDims:()=>NT,stridesForAxis:()=>CT,stridesWithElidedDims:()=>kT});var Rb=-2,vz=-1;function wz(e,t,n){let a=e.shape.length;A(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),A(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function kz(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function Iz(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=TT(i,h,m,a,e),d=NT(o,h,m,r,e),c=kT(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=IT(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=IT(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=zp(0,i,l-1),i}function ET(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=zp(0,i,l):i=zp(-1,i,l-1),i}function Tz(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function Nz(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{A(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:(A(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function Cz(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let b=0;b0?0:-1,c.strides[b]>0?w:w-1];if(x&&c.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[b]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[b]} of dimension ${b} out of bounds.`)}else c.begin[b]=X1(c.begin[b],0,c.strides[b],w,I,T),c.end[b]=X1(c.end[b],1,c.strides[b],w,I,T);let R=c.strides[b]===1&&c.begin[b]===0&&c.end[b]===w;h=h&&R,m=m&&(b===0&&c.strides[b]===1||R)}else h=h&&c.strides[b]===1&&C,m=m&&(b===0&&c.strides[b]===1||C);let E,$=!1;if(c.beginValid&&c.endValid?(E=c.end[b]-c.begin[b],$=!0):x?(E=1,$=!0):C&&w>=0&&(c.strides[b]<0?E=-w:E=w,$=!0),$){let R;E===0||E<0!=c.strides[b]<0?R=0:R=Math.trunc(E/c.strides[b])+(E%c.strides[b]!==0?1:0),g.push(R)}else g.push(-1)}for(let b=0;b=0?y.push(g[x]):x===Rb&&y.push(1)}return{finalShapeSparse:y.filter((b,x)=>c.finalShapeGatherIndices[x]!==Rb),finalShape:y,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function _z(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var Ez="4.2.0",$T=class{static sgd(e){return new of(e)}static momentum(e,t,n=!1){return new Bv(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Vv(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new zv(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new Ov(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new Wv(e,t,n,a,r)}static adagrad(e,t=.1){return new Lv(e,t)}},Us=$T,Az=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function qv(){return new Promise(e=>Az(()=>e()))}var N={};Ae(N,{ERF_A1:()=>Hz,ERF_A2:()=>qz,ERF_A3:()=>jz,ERF_A4:()=>Kz,ERF_A5:()=>Xz,ERF_P:()=>Gz,PARALLELIZE_THRESHOLD:()=>jv,RowPartitionType:()=>tr,SELU_SCALE:()=>RT,SELU_SCALEALPHA:()=>FT,applyActivation:()=>rf,assertAndGetBroadcastShape:()=>ot,assertAxesAreInnerMostDims:()=>LM,assertParamsConsistent:()=>$z,assignToTypedArray:()=>tW,axesAreInnerMostDims:()=>nv,calculateShapes:()=>jS,checkEinsumDimSizes:()=>oW,checkPadOnDimRoundingMode:()=>Tn,combineLocations:()=>cS,combineRaggedTensorToTensorShapes:()=>Rz,complexWithEvenIndex:()=>Jz,complexWithOddIndex:()=>Qz,computeConv2DInfo:()=>Nc,computeConv3DInfo:()=>aS,computeDefaultPad:()=>Ox,computeDilation2DInfo:()=>LD,computeOptimalWindowSize:()=>Oz,computeOutAndReduceShapes:()=>dS,computeOutShape:()=>Fz,computePool2DInfo:()=>nS,computePool3DInfo:()=>zD,convertConv2DDataFormat:()=>rS,decodeEinsumEquation:()=>sW,eitherStridesOrDilationsAreOne:()=>cr,expandShapeToKeepDim:()=>oi,exponent:()=>aW,exponents:()=>nW,fromStringArrayToUint8:()=>_W,fromUint8ToStringArray:()=>CW,getAxesPermutation:()=>hS,getBroadcastDims:()=>uS,getComplexWithIndex:()=>eW,getEinsumComputePath:()=>lW,getEinsumPermutation:()=>iW,getFusedBiasGradient:()=>af,getFusedDyActivation:()=>nf,getImageCenter:()=>Lz,getInnerMostAxes:()=>zM,getPermuted:()=>Wz,getRaggedRank:()=>Mz,getReductionAxes:()=>Wt,getReshaped:()=>zz,getReshapedPermuted:()=>Bz,getRowPartitionTypesHelper:()=>Dz,getSliceBeginCoords:()=>Vz,getSliceSize:()=>Uz,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>dW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>hW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>mW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>yW,getSparseReshapeInputOutputMismatchErrorMessage:()=>xW,getSparseReshapeInputOutputMultipleErrorMessage:()=>bW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>fW,getSparseReshapeNegativeOutputDimErrorMessage:()=>gW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>IW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>vW,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>wW,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>kW,getUndoAxesPermutation:()=>av,isIdentityPermutation:()=>uW,log:()=>ZF,mergeRealAndImagArrays:()=>Yz,prepareAndValidate:()=>wT,prepareSplitSize:()=>cW,segment_util:()=>DT,shouldFuse:()=>sf,slice_util:()=>Kt,splitRealAndImagArrays:()=>Zz,stridesOrDilationsArePositive:()=>si,tupleValuesAreOne:()=>is,upcastType:()=>ma,validateDefaultValueShape:()=>Pz,validateInput:()=>$v,validateUpdateShape:()=>Av,warn:()=>Xr});function $z(e,t){let n=e[0].length;e.forEach((r,s)=>{A(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),A(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function Fz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Dz(e){let t={FIRST_DIM_SIZE:tr.FIRST_DIM_SIZE,VALUE_ROWIDS:tr.VALUE_ROWIDS,ROW_LENGTHS:tr.ROW_LENGTHS,ROW_SPLITS:tr.ROW_SPLITS,ROW_LIMITS:tr.ROW_LIMITS,ROW_STARTS:tr.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function Mz(e){return e.length===0?0:e[0]===tr.FIRST_DIM_SIZE?e.length-1:e.length}function Pz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var jv=30;function Oz(e){return e<=jv?e:mh(e,Math.floor(Math.sqrt(e)))}function Lz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function zz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Bz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,Y1=",",Z1="...";function sW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(rW,"").length)/ob.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${ob}").`);let[a,r]=e.split(ob);A(a.indexOf(Z1)===-1,()=>`The ellipsis notation ("${Z1}") is not supported yet.`);let s=a.split(Y1),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function oW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function lW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function pW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);A(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}A(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function dW(e){return`Received SparseTensor with denseShape[0] = 0 but indices.shape[0] = ${e}`}function hW(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function mW(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function fW(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function gW(e,t){return`size ${e} must be non-negative, not ${t}`}function yW(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function bW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function xW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function vW(){return"segment ids must be >= 0"}function wW(){return"segment ids are not increasing"}function kW(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function IW(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var DT={};Ae(DT,{collectGatherOpShapeInfo:()=>NW,computeOutShape:()=>TW,segOpComputeOptimalWindowSize:()=>SW});function SW(e,t){let n=!1,a;for(e<=jv?(a=e,n=!0):a=mh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=mh(e,a+1);return a}function TW(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( ${s}).`);if(nvh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function _W(e){return e.map(t=>Ic(t))}var hr={};Ae(hr,{nonMaxSuppressionV3Impl:()=>nT,nonMaxSuppressionV4Impl:()=>aT,nonMaxSuppressionV5Impl:()=>rT,whereImpl:()=>GS});KL();var MT={kernelName:wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,xo(ie(n,"float32"),-1))}}},EW={kernelName:kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=it(ie(n,"float32")),r=pn(pe(xe(1),a));return bt(he(e,r))}}}},AW={kernelName:Il,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=pn(pe(it(ie(n,"float32")),1));return he(e,a)}}}},$W={kernelName:fs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},FW={kernelName:yi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},RW={kernelName:bi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},DW={kernelName:rc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},MW={kernelName:Nl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pn(pe(xe(1),it(ie(n,"float32")))))}}},PW={kernelName:Cl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=pn(X(xe(1),it(ie(n,"float32"))));return he(e,a)}}}},OW={kernelName:Al,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=X(it(n),it(a)),i=z(e,he(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=X(it(n),it(a)),i=bt(z(e,he(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},LW={kernelName:_l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,X(it(ie(n,"float32")),1))}}},zW={kernelName:El,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(xe(1),it(ie(n,"float32"))))}}};function WW(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),A(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),A(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Tn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(Yh,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var BW=L({avgPool3dGrad_:WW}),VW={kernelName:sc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>BW(e,a,r,s,i,o)}}};function UW(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");A(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),A(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(Xh,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var GW=L({avgPoolGrad_:UW}),HW={kernelName:xi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>GW(e,a,r,s,i)}}},qW={kernelName:vi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Re(e,r,!1,!0),b:()=>Re(a,e,!0,!1)}:!s&&i?{a:()=>Re(e,r,!1,!1),b:()=>Re(e,a,!0,!1)}:s&&!i?{a:()=>Re(r,e,!1,!0),b:()=>Re(a,e,!1,!1)}:{a:()=>Re(r,e,!0,!0),b:()=>Re(e,a,!0,!0)}}},jW={kernelName:$l,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Dc(e,a,r)}}},KW={kernelName:$I,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},XW={kernelName:wi,gradFunc:e=>({x:()=>e.clone()})},YW={kernelName:ki,gradFunc:e=>({x:()=>qe(e)})},ZW={kernelName:gs,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>gn($a($r(a,r),ks(a,s)),e,qe(e))}}},JW={kernelName:ic,inputsToSave:["x"],gradFunc:MT.gradFunc},QW={kernelName:Fl,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=Fa(r,t[0].shape)[0],i=a.map(o=>o[s]);return zn(e,i,s).map(o=>()=>o)}},eB={kernelName:Ii,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return A(is(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>Kx(a.shape,e,r,i,o,l),filter:()=>Dv(a,e,r.shape,i,o,l)}}},tB={kernelName:Si,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>Rt(e,r,s,i,o,1,l),filter:()=>Dv(e,a,r.shape,s,i,o,l)}}};function nB(e,t,n,a,r){let s=e;e.rank===4&&(s=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),A(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),A(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),A(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),A(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),A(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(tm,o,l)}var aB=L({conv3DBackpropFilter_:nB}),rB={kernelName:oc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;A(is(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>oS(i.shape,e,o,r,s),filter:()=>aB(i,e,o.shape,r,s)}}},sB={kernelName:Ti,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(bt(Km(ie(n,"float32"))),e)}}},iB={kernelName:Ni,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Xm(ie(n,"float32")),e)}}},oB={kernelName:Ci,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=hS([r],a.rank),l=Mm(e,r,s,!i);return o!=null&&(l=Ee(l,o)),l}}}},lB={kernelName:_i,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;A(is(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return A(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),A(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),A(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),A(cr(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Tn("depthwiseConv2d",s,i),{x:()=>QS(l.shape,e,u,r,s,o,i),filter:()=>JS(l,e,u.shape,r,s,o,i)}}},uB={kernelName:lc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(fh,s,n),filter:()=>O.runKernel(gh,i,n)}}},pB={kernelName:Ai,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(lm,a)}}},cB={kernelName:Pl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(yn(bt(it(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},dB={kernelName:$i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},hB={kernelName:Ll,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>W(e,n.shape)}}},mB={kernelName:zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,yn(n))}}},fB={kernelName:Fi,gradFunc:e=>({x:()=>qe(e)})},gB={kernelName:Ri,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=he(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=it(a);return bt(he(s,ie(o,"float32")))}}}},yB={kernelName:Di,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?xe(1):o,u=Wt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?W(z(z(e,Ln(W(h,[1,1,1,s.shape[0]]),p)),l),r.shape):W(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,xe(-1)),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),W(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),W(f,s.shape)}}}},bB={kernelName:Bl,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=Fa(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=J1(0,p),m=J1(p+1,p+1+c),f=Q1([u,[l],d]),g=W(e,f),y=W(r,[l]),b=Q1([[p],h,m]),x=Ee(g,b),w=ef(x,y,a.shape[i]),I=av(b);return w=Ee(w,I),w},indices:()=>r}}};function J1(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>qe(n),b:()=>qe(a)}}},vB={kernelName:Pi,gradFunc:e=>({x:()=>ie(e,"float32")})},wB={kernelName:Gl,gradFunc:e=>({x:()=>qe(e)})},kB={kernelName:Hl,gradFunc:e=>({x:()=>qe(e)})},IB={kernelName:Oi,gradFunc:e=>({x:()=>qe(e)})},SB={kernelName:Li,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Nn(a,0);return{x:()=>gn(s,e,z(e,r))}}},TB={kernelName:Kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,X(n,1))}}},NB={kernelName:zi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ie(n,"float32"))}}},CB={kernelName:RI,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=yn(a);return pe(e,z(fe(e,r,!0),s))}}}};function _B(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(hm,o,l)}var EB=L({localResponseNormalizationBackprop_:_B}),AB={kernelName:pc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>EB(a,r,e,s,i,o,l)}}};function PT(e,t,n,a){return t.rankz(e,ie(Jn(n,t),e.dtype))}}var ek={kernelName:Wi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=Fa(r,s.shape),l=PT(e,i,s,o);return{x:()=>l.x()}}},$B={kernelName:Bi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,ie($r(n,a),"float32")),b:()=>z(e,ie(Om(n,a),"float32"))}}};function FB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=W(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=W(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),A(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),A(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),A(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Tn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(fm,m,f);return h?W(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var RB=L({maxPool3dGrad_:FB}),DB={kernelName:cc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>RB(e,a,r,s,i,o,l)}}};function MB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");A(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),A(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),A(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Tn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(mm,p,d)}var PB=L({maxPoolGrad_:MB}),OB={kernelName:Vi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>PB(e,a,r,s,i,o)}}},LB={kernelName:Ui,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=Fa(r,a.shape),i=dS(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=W(e,l);return he(z(u,Zn(a.shape,"float32")),o)}}}},zB={kernelName:Gi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=Fa(r,s.shape),l=PT(e,i,s,o);return{x:()=>l.x()}}},WB={kernelName:Hi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,ie(ks(n,a),"float32")),b:()=>z(e,ie(Nn(n,a),"float32"))}}},BB={kernelName:qi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Ve(e,s,a.shape)}}},VB={kernelName:Jl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=Wt(n.shape,r);return s.length>0?W(fe(e,s),n.shape):e},b:()=>{let s=z(e,bt(Nu(he(n,a)))),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},UB={kernelName:ji,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=z(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},GB={kernelName:Ql,gradFunc:e=>({x:()=>bt(e)})},HB={kernelName:Ki,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},qB={kernelName:ru,gradFunc:e=>({x:()=>qe(e)})},jB={kernelName:su,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return lt(e,a).map(r=>()=>r)}},tk={kernelName:Xi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Ve(e,s,a.shape)}}},KB={kernelName:Yi,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=ot(s.shape,i.shape);return{a:()=>{let l=ie(i,"float32"),u=z(e,z(l,Ar(s,pe(l,xe(1))))),p=Wt(s.shape,o);return p.length>0&&(u=fe(u,p)),W(u,s.shape)},b:()=>{let l=Nn(s,0),u=gn(l,Qn(s),qe(s)),p=z(e,z(r,u)),d=Wt(i.shape,o);return d.length>0&&(p=fe(p,d)),W(p,i.shape)}}}},XB={kernelName:Zi,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Nn(n,0);return{x:()=>gn(r,e,z(e,a)),alpha:()=>{let s=gn(r,qe(e),z(e,n)),i=Wt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}};function YB(e,t,n){let a=e.shape.slice();a[n]=1;let r=W(t,a),s=jp(e,n,!0,!1),i=jp(e,n,!0,!0),o=z(s,i);return z(r,o)}function ZB(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ee(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=YB(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ee(p,d)}return p}var JB={kernelName:Ji,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>ZB(a,e,s)}}},QB={kernelName:Ei,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=he(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=it(a);return bt(he(s,ie(o,"float32")))}}}},e4={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,bt(it(n)))}}},t4={kernelName:ao,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(ks(n,6),xo(n));return{x:()=>z(e,ie(a,"float32"))}}},n4={kernelName:eo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,ie(xo(n),"float32"))}}},a4={kernelName:iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>W(e,n.shape)}}},r4={kernelName:no,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Im,r,n)}}},s4={kernelName:to,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(km,r,n)}}},i4={kernelName:ro,gradFunc:(e,t,n)=>{let{dims:a}=n,r=Fa(a,e.shape);return{x:()=>ga(e,r)}}},o4={kernelName:so,gradFunc:e=>({x:()=>qe(e)})},l4={kernelName:io,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>bt(he(e,z(Ar(n,1.5),2)))}}},u4={kernelName:lu,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>ie(qe(n),"float32"),t:()=>z(e,ie(n,e.dtype)),e:()=>z(e,ie(Fc(n),e.dtype))}}},p4={kernelName:uu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Nn(n,xe(0)),r=xe(FT),s=xe(RT),i=z(e,s),o=z(z(e,r),yn(ie(n,"float32")));return gn(a,i,o)}}}},c4={kernelName:lo,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(xe(1),n)))}}},d4={kernelName:du,gradFunc:e=>({x:()=>qe(e)})},h4={kernelName:oo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(_c(ie(n,"float32")),e)}}},m4={kernelName:cu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Dm(ie(n,"float32")),e)}}},f4={kernelName:pu,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=AT(a,r,s),u=[];for(let p=0;pba(e,u)}}},g4={kernelName:co,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},y4={kernelName:hu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,da(n))}}},nk={kernelName:mu,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>Cc(e,a,r)}}},ak={kernelName:fu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},b4={kernelName:uo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(pn(ie(n,"float32")),2))}}},x4={kernelName:gc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(ie(n,"float32"),2))}}},v4={kernelName:ho,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=xe(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},w4={kernelName:bs,gradFunc:e=>({x:()=>qe(e)})},k4={kernelName:mo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(bt(s),a.shape)}}}},I4={kernelName:po,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;Fa(s,a.shape).forEach(l=>{r[l]=1});let i=W(e,r),o=z(i,Zn(a.shape,"float32"));return{x:()=>o}}},S4={kernelName:fo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,it(_c(n)))}}},T4={kernelName:go,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(xe(1),it(n)),e)}}},N4={kernelName:ys,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=qe(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=av(r);return{x:()=>Ee(e,s)}}},_4={kernelName:vu,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},E4={kernelName:vc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>A4(e,n)}}};function A4(e,t){let n=dr(t,qe(t)),a=Cu(e,n),r=$r(t,xe(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>qe(e)})},F4=[MT,EW,AW,$W,FW,RW,DW,MW,PW,OW,LW,zW,VW,HW,qW,jW,KW,XW,YW,ZW,JW,QW,tB,eB,rB,sB,iB,oB,lB,uB,QB,pB,cB,dB,hB,mB,gB,fB,yB,bB,xB,vB,wB,kB,IB,SB,TB,NB,CB,AB,ek,ek,$B,DB,OB,LB,zB,WB,BB,VB,UB,GB,HB,qB,jB,tk,tk,KB,XB,JB,e4,t4,n4,a4,r4,s4,i4,o4,l4,u4,p4,c4,d4,h4,m4,f4,g4,y4,nk,nk,ak,ak,b4,v4,x4,w4,k4,I4,S4,T4,N4,C4,_4,E4,$4];for(let e of F4)DI(e);Q().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};Q().prototype.acos=function(){return this.throwIfDisposed(),Ex(this)};Q().prototype.acosh=function(){return this.throwIfDisposed(),Ax(this)};Q().prototype.add=function(e){return this.throwIfDisposed(),X(this,e)};Q().prototype.all=function(e,t){return this.throwIfDisposed(),$m(this,e,t)};Q().prototype.any=function(e,t){return this.throwIfDisposed(),Gp(this,e,t)};Q().prototype.argMax=function(e){return this.throwIfDisposed(),ri(this,e)};Q().prototype.argMin=function(e){return this.throwIfDisposed(),$x(this,e)};Q().prototype.asScalar=function(){return this.throwIfDisposed(),A(this.size===1,()=>"The array must have only 1 element."),W(this,[])};Q().prototype.asType=function(e){return this.throwIfDisposed(),ie(this,e)};Q().prototype.as1D=function(){return this.throwIfDisposed(),W(this,[this.size])};Q().prototype.as2D=function(e,t){return this.throwIfDisposed(),W(this,[e,t])};Q().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),W(this,[e,t,n])};Q().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),W(this,[e,t,n,a])};Q().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),W(this,[e,t,n,a,r])};Q().prototype.asin=function(){return this.throwIfDisposed(),Fx(this)};Q().prototype.asinh=function(){return this.throwIfDisposed(),Rx(this)};Q().prototype.atan=function(){return this.throwIfDisposed(),Dx(this)};Q().prototype.atan2=function(e){return this.throwIfDisposed(),Mx(this,e)};Q().prototype.atanh=function(){return this.throwIfDisposed(),Px(this)};Q().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),ya(this,e,t,n,a)};Q().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Cc(this,e,t)};Q().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),vs(this,e,t,n,a,r)};Q().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Ys(this,e)};Q().prototype.cast=function(e){return this.throwIfDisposed(),ie(this,e)};Q().prototype.ceil=function(){return this.throwIfDisposed(),Ux(this)};Q().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),tn(this,e,t)};Q().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Ne&&(e=[e]),Ze([this,...e],t)};Q().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Fm(this,e,t,n,a,r,s)};Q().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),Rm(this,e,t,n,a,r)};Q().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Rt(this,e,t,n,a,r,s)};Q().prototype.cos=function(){return this.throwIfDisposed(),_c(this)};Q().prototype.cosh=function(){return this.throwIfDisposed(),Dm(this)};Q().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),jp(this,e,t,n)};Q().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Mm(this,e,t,n)};Q().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),Zx(this,e,t)};Q().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),ws(this,e,t,n,a,r,s)};Q().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),Jx(this,e,t,n,a,r)};Q().prototype.divNoNan=function(e){return this.throwIfDisposed(),Qx(this,e)};Q().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};Q().prototype.dot=function(e){return this.throwIfDisposed(),ev(this,e)};Q().prototype.elu=function(){return this.throwIfDisposed(),Su(this)};Q().prototype.equal=function(e){return this.throwIfDisposed(),Jn(this,e)};Q().prototype.erf=function(){return this.throwIfDisposed(),tv(this)};Q().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),rv(this,e,t)};Q().prototype.exp=function(){return this.throwIfDisposed(),yn(this)};Q().prototype.expandDims=function(e){return this.throwIfDisposed(),Qt(this,e)};Q().prototype.expm1=function(){return this.throwIfDisposed(),sv(this)};Q().prototype.fft=function(){return this.throwIfDisposed(),Oc(this)};Q().prototype.flatten=function(){return this.throwIfDisposed(),W(this,[this.size])};Q().prototype.floor=function(){return this.throwIfDisposed(),Nu(this)};Q().prototype.floorDiv=function(e){return this.throwIfDisposed(),Am(this,e)};Q().prototype.gather=function(e,t){return this.throwIfDisposed(),Cu(this,e,t)};Q().prototype.greaterEqual=function(e){return this.throwIfDisposed(),$r(this,e)};Q().prototype.greater=function(e){return this.throwIfDisposed(),Nn(this,e)};Q().prototype.ifft=function(){return this.throwIfDisposed(),ll(this)};Q().prototype.irfft=function(){return this.throwIfDisposed(),Zm(this)};Q().prototype.isFinite=function(){return this.throwIfDisposed(),iv(this)};Q().prototype.isInf=function(){return this.throwIfDisposed(),ov(this)};Q().prototype.isNaN=function(){return this.throwIfDisposed(),lv(this)};Q().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Ac(this,e)};Q().prototype.lessEqual=function(e){return this.throwIfDisposed(),ks(this,e)};Q().prototype.less=function(e){return this.throwIfDisposed(),Om(this,e)};Q().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),uv(this,e,t,n,a)};Q().prototype.logSigmoid=function(){return this.throwIfDisposed(),pv(this)};Q().prototype.logSoftmax=function(e){return this.throwIfDisposed(),zm(this,e)};Q().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),Wm(this,e,t)};Q().prototype.log=function(){return this.throwIfDisposed(),Qn(this)};Q().prototype.log1p=function(){return this.throwIfDisposed(),$c(this)};Q().prototype.logicalAnd=function(e){return this.throwIfDisposed(),$a(this,e)};Q().prototype.logicalNot=function(){return this.throwIfDisposed(),Fc(this)};Q().prototype.logicalOr=function(e){return this.throwIfDisposed(),Bm(this,e)};Q().prototype.logicalXor=function(e){return this.throwIfDisposed(),cv(this,e)};Q().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Re(this,e,t,n)};Q().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};Q().prototype.max=function(e,t){return this.throwIfDisposed(),ha(this,e,t)};Q().prototype.maximum=function(e){return this.throwIfDisposed(),dr(this,e)};Q().prototype.mean=function(e,t){return this.throwIfDisposed(),Ct(this,e,t)};Q().prototype.min=function(e,t){return this.throwIfDisposed(),rl(this,e,t)};Q().prototype.minimum=function(e){return this.throwIfDisposed(),_u(this,e)};Q().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),hv(this,e,t)};Q().prototype.mod=function(e){return this.throwIfDisposed(),mv(this,e)};Q().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};Q().prototype.neg=function(){return this.throwIfDisposed(),bt(this)};Q().prototype.norm=function(e,t,n){return this.throwIfDisposed(),Tu(this,e,t,n)};Q().prototype.notEqual=function(e){return this.throwIfDisposed(),li(this,e)};Q().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),sl(this,e,t,n)};Q().prototype.onesLike=function(){return this.throwIfDisposed(),ea(this)};Q().prototype.pad=function(e,t){return this.throwIfDisposed(),ba(this,e,t)};Q().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),fv(this,e,t,n,a,r,s)};Q().prototype.pow=function(e){return this.throwIfDisposed(),Ar(this,e)};Q().prototype.prelu=function(e){return this.throwIfDisposed(),Mc(this,e)};Q().prototype.prod=function(e,t){return this.throwIfDisposed(),gv(this,e,t)};Q().prototype.reciprocal=function(){return this.throwIfDisposed(),wv(this)};Q().prototype.relu=function(){return this.throwIfDisposed(),Ke(this)};Q().prototype.relu6=function(){return this.throwIfDisposed(),Gm(this)};Q().prototype.reshapeAs=function(e){return this.throwIfDisposed(),W(this,e.shape)};Q().prototype.reshape=function(e){return this.throwIfDisposed(),W(this,e)};Q().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),sT(this,e,t,n)};Q().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),iT(this,e,t,n)};Q().prototype.reverse=function(e){return this.throwIfDisposed(),ga(this,e)};Q().prototype.rfft=function(){return this.throwIfDisposed(),Lc(this)};Q().prototype.round=function(){return this.throwIfDisposed(),Hm(this)};Q().prototype.rsqrt=function(){return this.throwIfDisposed(),qm(this)};Q().prototype.selu=function(){return this.throwIfDisposed(),jm(this)};Q().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Is(this,e,t,n,a,r,s)};Q().prototype.sigmoid=function(){return this.throwIfDisposed(),da(this)};Q().prototype.sign=function(){return this.throwIfDisposed(),kv(this)};Q().prototype.sin=function(){return this.throwIfDisposed(),Km(this)};Q().prototype.sinh=function(){return this.throwIfDisposed(),Xm(this)};Q().prototype.slice=function(e,t){return this.throwIfDisposed(),Ve(this,e,t)};Q().prototype.softmax=function(e){return this.throwIfDisposed(),Xa(this,e)};Q().prototype.softplus=function(){return this.throwIfDisposed(),yo(this)};Q().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Dc(this,e,t)};Q().prototype.split=function(e,t){return this.throwIfDisposed(),zn(this,e,t)};Q().prototype.sqrt=function(){return this.throwIfDisposed(),pn(this)};Q().prototype.square=function(){return this.throwIfDisposed(),it(this)};Q().prototype.squaredDifference=function(e){return this.throwIfDisposed(),Jm(this,e)};Q().prototype.squeeze=function(e){return this.throwIfDisposed(),Ss(this,e)};Q().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Ne?[this,e]:[this,...e];return Ft(n,t)};Q().prototype.step=function(e){return this.throwIfDisposed(),xo(this,e)};Q().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),Iv(this,e,t,n,a,r,s,i,o)};Q().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};Q().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};Q().prototype.tan=function(){return this.throwIfDisposed(),Sv(this)};Q().prototype.tanh=function(){return this.throwIfDisposed(),ii(this)};Q().prototype.tile=function(e){return this.throwIfDisposed(),Ln(this,e)};Q().prototype.toBool=function(){return this.throwIfDisposed(),ie(this,"bool")};Q().prototype.toFloat=function(){return this.throwIfDisposed(),ie(this,"float32")};Q().prototype.toInt=function(){return this.throwIfDisposed(),ie(this,"int32")};Q().prototype.topk=function(e,t){return this.throwIfDisposed(),Tv(this,e,t)};Q().prototype.transpose=function(e){return this.throwIfDisposed(),Ee(this,e)};Q().prototype.unique=function(e){return this.throwIfDisposed(),Nv(this,e)};Q().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),ef(this,e,t)};Q().prototype.unstack=function(e){return this.throwIfDisposed(),lt(this,e)};Q().prototype.where=function(e,t){return this.throwIfDisposed(),gn(e,this,t)};Q().prototype.zerosLike=function(){return this.throwIfDisposed(),qe(this)};var kr=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,kr.prototype)}},Ba=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Ba.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},Pe=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Pe.prototype)}},OT=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,OT.prototype)}},LT=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var Ia={};function Kv(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function Db(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>Db(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:Db(a))}}}function Wc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in Ia)i=Ia[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: @@ -37,13 +37,13 @@ Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)= 2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new V(`${a}: Improper config format: ${JSON.stringify(s)}. 'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Ia?[o,l]=Ia.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ia))u[h]=Ia[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ia);for(let h of Object.keys(n))Ia[h]=n[h];Db(s.config);let c=l(o,s.config,n,r);return Ia=Object.assign({},d),c}else{let u=Object.assign({},Ia);for(let d of Object.keys(n))Ia[d]=n[d];let p=new o(s.config);return Ia=Object.assign({},u),p}}}function R4(e,t){return et?1:0}function qd(e,t){return-1*R4(e,t)}function ts(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function D4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function wo(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Xv(e,t,n=0,a=1/0){return nr(n>=0),nr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>en(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${zT(e)}.`)}function zT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>zT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function M4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return jo.set(n,1),n}else return e}var G4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function HT(e){return!!e.match(G4)}function H4(e){return e===parseInt(e.toString(),10)}function ns(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function qa(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Bc(e,1);return Mb(n,[1,t,1])})}function j4(e){let t=[ns(e.shape)];return W(e,t)}function K4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],ns(e.shape,1)];return W(e,t)}function Js(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Ym(e,[t,0],[n,e.shape[1]]);case 3:return bo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return ol(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ve(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Ve(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function ub(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Ym(e,[0,t],[e.shape[0],n]);case 3:return bo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return ol(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Kd(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:switch(a){case 1:return Js(e,t,n);case 2:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Js(e,t,n);case 2:return bo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Js(e,t,n);case 2:return ol(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return ol(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Yv(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function ik(e,t){switch(e.rank){case 1:return Gx([e,t]);case 2:return Hx([e,t],0);case 3:return qx([e,t],0);case 4:return jx([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Mb(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function uf(e,t=0,n=1,a,r){return Um(e,t,n,a,r)}function or(e,t,n,a){if(e.rank<2||t.rank<2)throw new Pe(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Pe(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return ul.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Pb(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(ul.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Pb(e.rank,a,ja()):null,activation:n}),d)}}function qT(e,t,n){return P(()=>(Array.isArray(t)?t=je(t,"int32"):t=ie(t,"int32"),Cu(e,t,n)))}function Vc(e){return z(e,e)}function Pb(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Ya(e,t,n){return P(()=>(n==null&&(n=ja()),Mt(n),X(e,Pb(e.rank,t,n))))}function X4(e,t=1){if(t!==1)throw new Pe(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Su(e)}function Y4(e){return P(()=>he(e,X(Lt(e),1)))}function jT(e,t,n,a){return P(()=>Fv(e,t,n,a))}function Z4(e){return P(()=>{let t=X(.5,z(.2,e));return tn(t,0,1)})}function Uc(e,t,n=!1){return n?e():t()}var J4=["fanIn","fanOut","fanAvg"],Q4=["normal","uniform","truncatedNormal"];function eV(e){wo(J4,"FanMode",e)}function tV(e){wo(Q4,"Distribution",e)}var Da=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Zv=class extends Da{apply(e,t){return It(e,t)}};Zv.className="Zeros";ne.registerClass(Zv);var pf=class extends Da{apply(e,t){return Zn(e,t)}};pf.className="Ones";ne.registerClass(pf);var Jv=class extends Da{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(xe(this.value),Zn(e,t)))}getConfig(){return{value:this.value}}};Jv.className="Constant";ne.registerClass(Jv);var Qv=class extends Da{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Eu(e,this.minval,this.maxval,t,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Qv.className="RandomUniform";ne.registerClass(Qv);var ew=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`randomNormal does not support dType ${t}.`);return uf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};ew.className="RandomNormal";ne.registerClass(ew);var tw=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`truncatedNormal does not support dType ${t}.`);return Qm(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};tw.className="TruncatedNormal";ne.registerClass(tw);var nw=class extends Da{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Pm(e[0]))})}getConfig(){return{gain:this.gain}}};nw.className="Identity";ne.registerClass(nw);function nV(e,t="channelsLast"){let n,a;if(Mt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=ns(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=ns(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=ns(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Da{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,eV(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,tV(this.distribution),this.seed=e.seed}apply(e,t){let n=nV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`${this.getClassName()} does not support dType ${t}.`);return Qm(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Eu(e,-i,i,t,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var cf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};cf.className="GlorotUniform";ne.registerClass(cf);var df=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};df.className="GlorotNormal";ne.registerClass(df);var hf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};hf.className="HeNormal";ne.registerClass(hf);var mf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};mf.className="HeUniform";ne.registerClass(mf);var ff=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};ff.className="LeCunNormal";ne.registerClass(ff);var gf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};gf.className="LeCunUniform";ne.registerClass(gf);var aw=class extends Da{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Pe("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Pe("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=uf(n,0,1,"float32"),r=Pv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};aw.className="Orthogonal";ne.registerClass(aw);var ok={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function lk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function _t(e){return Kv(e)}function St(e){if(typeof e=="string"){let t=e in ok?ok[e]:e;if(t==="GlorotNormal")return new df;if(t==="GlorotUniform")return new cf;if(t==="HeNormal")return new hf;if(t==="HeUniform")return new mf;if(t==="LeCunNormal")return new ff;if(t==="LeCunUniform")return new gf;{let n={};return n.className=t,n.config={},lk(n)}}else return e instanceof Da?e:lk(e)}function Ob(e){return Array.isArray(e)&&Array.isArray(e[0])}function Sh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ce(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function Je(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Th(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var uk="Variable",KT=class{constructor(e,t="float32",n=uk,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=BT(),n=n==null?uk:n,this.originalName=UT(n),this.name=GT(this.originalName),this.trainable_=a,this.constraint=r,this.val=Cv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),aV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function aV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function Lb(e){return e.map(t=>t.read())}function rw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Va=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=BT(),s!=null&&(this.originalName=UT(s),this.name=GT(this.originalName)),this.rank=t.length}},rV=0,yf=class{constructor(e,t){this.callArgs=t,this.id=rV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},sV=0,Ue=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=sV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Ir(n)+"_"+lf(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Ba(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=yt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=yt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of yt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=yt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Pe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=iV(e),i=this.computeOutputShape(s),o,l=oV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Va(l,u,this,yt(e),t,this.name,p)):o=new Va(l,i,this,yt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Pe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new kr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new kr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ba(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Th(this.weights)}build(e){this.built=!0}getWeights(e=!1){return Lb(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=Lb(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=yt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=yt(e);t=yt(t),n=yt(n),a=yt(a),r=Sh(r),s=Sh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new yf({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function iV(e){e=yt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function oV(e){return"float32"}function XT(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Nh.get(p),c;if(d==null){let m=pV(i,t);d=m.sorted,c=m.recipientCounts,Nh.put(p,d),Ch.put(p,c)}c={},r||Object.assign(c,Ch.get(p));let h=new Xs(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=$),$0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=pk(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=pk(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:cV(a)}}function cV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function pk(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function dV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,uV);var ZT={};Ae(ZT,{maxNorm:()=>mV,minMaxNorm:()=>yV,nonNeg:()=>gV,unitNorm:()=>fV});function sw(e,t){return P(()=>pn(fe(z(e,e),t,!0)))}var Gc=class extends ne.Serializable{getConfig(){return{}}},iw=class extends Gc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=sw(e,this.axis),n=tn(t,0,this.maxValue);return z(e,he(n,X(qt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};iw.className="MaxNorm";ne.registerClass(iw);var ow=class extends Gc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,X(qt(),sw(e,this.axis))))}getConfig(){return{axis:this.axis}}};ow.className="UnitNorm";ne.registerClass(ow);var lw=class extends Gc{apply(e){return Ke(e)}};lw.className="NonNeg";ne.registerClass(lw);var uw=class extends Gc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=sw(e,this.axis),n=X(z(this.rate,tn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,X(qt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};uw.className="MinMaxNorm";ne.registerClass(uw);var ck={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Xt(e){return Kv(e)}function dk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Yt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in ck?ck[e]:e,config:{}};return dk(t)}else return e instanceof Gc?e:dk(e)}function mV(e){return new iw(e)}function fV(e){return new ow(e)}function gV(){return new lw}function yV(e){return new uw(e)}var JT={};Ae(JT,{constant:()=>vV,glorotNormal:()=>CV,glorotUniform:()=>NV,heNormal:()=>_V,heUniform:()=>EV,identity:()=>SV,leCunNormal:()=>AV,leCunUniform:()=>$V,ones:()=>xV,orthogonal:()=>FV,randomNormal:()=>kV,randomUniform:()=>wV,truncatedNormal:()=>IV,varianceScaling:()=>TV,zeros:()=>bV});function bV(){return new Zv}function xV(){return new pf}function vV(e){return new Jv(e)}function wV(e){return new Qv(e)}function kV(e){return new ew(e)}function IV(e){return new tw(e)}function SV(e){return new nw(e)}function TV(e){return new Bn(e)}function NV(e){return new cf(e)}function CV(e){return new df(e)}function _V(e){return new hf(e)}function EV(e){return new mf(e)}function AV(e){return new ff(e)}function $V(e){return new gf(e)}function FV(e){return new aw(e)}var QT={};Ae(QT,{Layer:()=>Ue,RNN:()=>mr,RNNCell:()=>Xc,activation:()=>sG,add:()=>mG,alphaDropout:()=>ZG,average:()=>fG,averagePooling1d:()=>x0,averagePooling2d:()=>v0,averagePooling3d:()=>w0,avgPool1d:()=>SG,avgPool2d:()=>NG,avgPool3d:()=>_G,avgPooling1d:()=>TG,avgPooling2d:()=>CG,avgPooling3d:()=>EG,batchNormalization:()=>wG,bidirectional:()=>UG,categoryEncoding:()=>nH,centerCrop:()=>eH,concatenate:()=>gG,conv1d:()=>YU,conv2d:()=>ZU,conv2dTranspose:()=>JU,conv3d:()=>QU,conv3dTranspose:()=>eG,convLstm2d:()=>zG,convLstm2dCell:()=>WG,cropping2D:()=>nG,dense:()=>iG,depthwiseConv2d:()=>rG,dot:()=>vG,dropout:()=>oG,elu:()=>GU,embedding:()=>hG,flatten:()=>uG,gaussianDropout:()=>YG,gaussianNoise:()=>XG,globalAveragePooling1d:()=>AG,globalAveragePooling2d:()=>$G,globalMaxPool1d:()=>HG,globalMaxPool2d:()=>qG,globalMaxPooling1d:()=>GN,globalMaxPooling2d:()=>HN,gru:()=>RG,gruCell:()=>DG,input:()=>yN,inputLayer:()=>UU,layerNormalization:()=>kG,leakyReLU:()=>qU,lstm:()=>MG,lstmCell:()=>PG,masking:()=>JG,maxPool1d:()=>jG,maxPool2d:()=>KG,maxPooling1d:()=>qN,maxPooling2d:()=>jN,maxPooling3d:()=>FG,maximum:()=>yG,minimum:()=>bG,multiply:()=>xG,permute:()=>dG,prelu:()=>jU,reLU:()=>HU,repeatVector:()=>pG,rescaling:()=>QG,reshape:()=>cG,resizing:()=>tH,rnn:()=>BG,separableConv2d:()=>tG,simpleRNN:()=>OG,simpleRNNCell:()=>LG,softmax:()=>KU,spatialDropout1d:()=>lG,stackedRNNCells:()=>VG,thresholdedReLU:()=>XU,timeDistributed:()=>GG,upSampling2d:()=>aG,zeroPadding2d:()=>IG});async function jr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sX(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Gt(t[n])}))}},nN=class extends dl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew aN(n,t))}var Na=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Na.checkForDuplicate(t),Na.constructors[e]==null&&(Na.constructors[e]=[]),Na.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Na.constructors)Na.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Na.constructors={}}static createCallbacks(e){let t=[];for(let n in Na.constructors){let a=+n;e>=a&&t.push(...Na.constructors[a])}return t.map(n=>new n)}};Na.constructors={};function sN(e,t,n,a,r,s,i,o,l){let u=new nN,p=[new DV,...Na.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new tN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ga(e,t={},n=!1){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function _h(e,t){return P(()=>{e.dtype!=="float32"&&(e=ie(e,"float32"));let n=fe(Vc(e),t,!0),a=bn(n.shape,qt()),r=pn(dr(n,a));return he(e,r)})}function ko(e,t){return P(()=>Ct(Vc(pe(t,e)),-1))}function bf(e,t){return P(()=>Ct(Lt(pe(t,e)),-1))}function Fu(e,t){return P(()=>{let n=pe(e,t),a=tn(Lt(e),qt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Ct(r,-1))})}function MV(e,t){return P(()=>{let n=tn(t,qt(),Number.MAX_VALUE),a=Qn(X(1,n)),r=tn(e,qt(),Number.MAX_VALUE),s=Qn(X(1,r));return Ct(Vc(pe(a,s)),-1)})}function PV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Ct(Vc(n),-1)})}function OV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Ct(n,-1)})}function LV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ha(z(pe(1,e),t),-1);return dr(0,X(1,pe(a,n)))})}function zV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(X(a,yo(z(-2,a))),n);return Ct(r,-1)})}function Kp(e,t,n=!1){return P(()=>{if(n)t=Xa(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=tn(t,qt(),1-qt()),bt(fe(z(ie(e,"float32"),Qn(t)),t.shape.length-1))})}function Eh(e,t,n=!1){return P(()=>{let a=ie(Nu(j4(e)),"int32");t=tn(t,qt(),1-qt());let r=t.shape,s=W(sl(a,r[r.length-1]),r);return Kp(s,t,n)})}function WV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Ke(t),a=bt(Lt(t));return X(pe(n,z(t,e)),$c(yn(a)))})}function xf(e,t){return P(()=>{let n;return n=tn(t,qt(),1-qt()),n=Qn(he(n,pe(1,n))),Ct(WV(e,n),-1)})}function BV(e,t){return P(()=>{let n=tn(e,qt(),1),a=tn(t,qt(),1);return fe(z(e,Qn(he(n,a))),-1)})}function VV(e,t){return P(()=>{let n=Qn(X(qt(),t));return Ct(pe(t,z(e,n)),-1)})}function pw(e,t){return P(()=>{let n=_h(e,-1),a=_h(t,-1),r=z(n,a);return bt(fe(r,-1))})}var Ah={meanSquaredError:ko,meanAbsoluteError:bf,meanAbsolutePercentageError:Fu,meanSquaredLogarithmicError:MV,squaredHinge:PV,hinge:OV,categoricalHinge:LV,logcosh:zV,categoricalCrossentropy:Kp,sparseCategoricalCrossentropy:Eh,binaryCrossentropy:xf,kullbackLeiblerDivergence:BV,poisson:VV,cosineProximity:pw};function pb(e){if(typeof e=="string"){if(e in Ah)return Ah[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function cw(e,t){return P(()=>{let n=z(.5,ea(t)),a=ir(Nn(t,n),e.dtype);return Ct(Jn(e,a),-1)})}function dw(e,t){return P(()=>ir(Jn(ri(e,-1),ri(t,-1)),"float32"))}function iN(e,t){return P(()=>ie(fe($a(Jn(e,1),Jn(t,1))),"float32"))}function UV(e,t){return P(()=>ie(fe($a(Jn(e,1),Jn(t,0))),"float32"))}function GV(e,t){return P(()=>ie(fe($a(Jn(e,0),Jn(t,1))),"float32"))}function oN(e,t){return P(()=>{let n=iN(e,t),a=GV(e,t),r=X(n,a);return ie(gn(Nn(r,0),he(n,r),0),"float32")})}function HV(e,t){return P(()=>{let n=iN(e,t),a=UV(e,t),r=X(n,a);return ie(gn(Nn(r,0),he(n,r),0),"float32")})}function lN(e,t){return xf(e,t)}function uN(e,t){return e.rank===t.rank&&(e=Ss(e,[e.rank-1])),t=ri(t,-1),t.dtype!==e.dtype&&(t=ie(t,e.dtype)),ie(Jn(e,t),"float32")}var qV=ko,jV=ko,KV=bf,XV=bf,YV=Fu,ZV=Fu,hw=Kp,JV=pw,pN=Eh,$h={binaryAccuracy:cw,categoricalAccuracy:dw,precision:oN,categoricalCrossentropy:hw,sparseCategoricalCrossentropy:pN,mse:qV,MSE:jV,mae:KV,MAE:XV,mape:YV,MAPE:ZV,cosine:JV};function QV(e){if(typeof e=="string"&&e in $h)return $h[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function Xd(e){if(nr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Ah))if(Ah[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys($h))if($h[n]===e){t=n;break}return t!==void 0?t:e.name}}function eU(e){let t={Adagrad:()=>Us.adagrad(.01),Adadelta:()=>Us.adadelta(1,.95,qt()),Adam:()=>Us.adam(.001,.9,.999,qt()),Adamax:()=>Us.adamax(.002,.9,.999,qt(),0),RMSProp:()=>Us.rmsprop(.001,.9,0,qt()),SGD:()=>Us.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function mk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!zb(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function zb(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!zb(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!zb(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function tU(e,t,n,a=console.log){let r=aU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),Fh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Fh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function rU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];Fh(o,t,n)}function sU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cy.name)}`);ts(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(y=>y.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let y of this.outputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;this.outputLayers.push(b),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let y of this.inputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;nr(x===0,"input layer has >1 nodes"),nr(w===0,"input layer has >1 tensors"),this.inputLayers.push(b),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let y=0;yy.shape),this.internalOutputShapes=this.outputs.map(y=>y.shape);let t={},n={},a={},r={},s={},i=[],o=(y,b,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=y.sourceLayer,I=y.nodeIndex,T=y.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Ba(`The tensor ${y.name} at layer "${w.name}" is part of a cycle.`);if(b.indexOf(C)!==-1)return;this.containerNodes.add(er.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let $=0;$=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let y of this.outputs)o(y,l,u);let p=i.slice().reverse();for(let y of p){n[y.id]=y,y.id in t||(t[y.id]=0);let b=t[y.id],x=a[y.outboundLayer.id]==null?0:a[y.outboundLayer.id];b=Math.max(b,x),a[y.outboundLayer.id]=b,r[y.outboundLayer.id]=y.outboundLayer,t[y.id]=b;for(let w=0;wparseInt(y,10)).sort(qd);this.layers=[];for(let y of h){let b=c[y];b.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of b)x instanceof er&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(y=>parseInt(y,10)).sort(qd);let m=this.inputs.slice(),f=[];for(let y of h)for(let b of d[y]){let x=b.outboundLayer;if(x!=null){for(let w of b.inputTensors)if(m.indexOf(w)===-1)throw new Ba(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of b.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(y=>y.name);for(let y of g){let b=g.filter(x=>x===y).length;if(b!==1)throw new Ba(`The name "${y}" is used ${b} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new yf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(y=>null),outputMasks:this.outputs.map(y=>null),inputShapes:this.inputs.map(y=>y.shape),outputShapes:this.outputs.map(y=>y.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}rw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${mw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Wb(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=yt(e);let n=new Xs;for(let a=0;a{e=yt(e);let n;return t==null?n=pi(null,e.length):n=yt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Sh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(qd);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(qd);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,y,b;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),y=yt(p.call(x,m)),b=yt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),y=yt(p.call(f,m)),b=yt(p.computeMask(f,g));if(p.activityRegularizer)throw new Pe("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(y),b)}function l(f){let g=f.name,y=Ga(f,t.customObjects!=null?t.customObjects:{});y.setFastWeightInitDuringBuild(a),r[g]=y,f.inboundNodes.forEach(b=>{if(!(b instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${b}`);i(y,b)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!D4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let y=s[g.name];delete s[g.name];for(let b of y)o(g,b)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],y=f[1],b=f[2];nr(g in r);let x=r[g].inboundNodes[y].outputTensors;d.push(x[b])}let m=t.outputLayers;for(let f of m){let g=f[0],y=f[1],b=f[2];nr(g in r);let x=r[g].inboundNodes[y].outputTensors;c.push(x[b])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function iU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function dN(e,t){return iU(e,t,"classWeight")}async function hN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return sr(e);if(e.shape.length===2){if(e.shape[1]>1)return ri(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),je(i,"float32")}else return null}function oU(e,t){return z(e,t)}var lU=32;function mN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=fk("input",e.inputNames,n),i=fk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function fk(e,t,n){if(n instanceof Ne)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function uU(e){if(e.length===3)throw new Pe("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function pU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(gk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=uU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=rN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=sN(p,d,n.epochs,null,null,cU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;gk(n.validationData)?w=yt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=yt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?lU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Pe("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=dU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=mN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fX(s[f],z(m,g))),l>0&&_e(y)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function wp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Js(a,t,n-t)):Js(e,t,n-t)}function Bb(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>Bb(n,t)):qT(e,t.dtype==="int32"?t:ie(t,"int32")))}function db(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}function fN(e){let t=[];e instanceof Ne&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Ne)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function mU(e){return e instanceof Ne}function Vb(e){return Array.isArray(e)}function yk(e){return!mU(e)&&!Vb(e)}function bk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Vb(e)&&e.length>0)i=!0;else if(yk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(yk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Vb(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=fN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function fU(e,t,n){let a=ts(e.map(s=>s.shape[0]));a.sort();let r=ts(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function gU(e,t,n){let a=[ko,xf,Kp];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var bU="layers-model",_r=class extends er{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");tU(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=eU(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Rr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(pb(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>pb(s))}else{let s=pb(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=yU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Zs("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===xf?["accuracy","acc"].indexOf(c)!==-1?p=cw:["crossentropy","ce"].indexOf(c)!==-1&&(p=lN):this.lossFunctions[s]===Eh?["accuracy","acc"].indexOf(c)!==-1?p=uN:["crossentropy","ce"].indexOf(c)!==-1&&(p=pN):["accuracy","acc"].indexOf(c)!==-1?p=dw:["crossentropy","ce"].indexOf(c)!==-1&&(p=hw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=QV(c),u=l+Xd(c);let h;Zs(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;cb(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{za(s[0],e),za(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),hU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Xs;if(e instanceof Ne&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Pe("Verbose predictLoop() is not implemented yet.");let r=db(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=wp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=fN(e);xk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return cb(a),this.predictLoop(n,a)}finally{za(n,e)}}predictOnBatch(e){xk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Ba("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=dN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Pe("Verbose mode is not implemented yet.");if(r!=null)throw new Pe("steps mode in testLoop() is not implemented yet");{let o=db(s,n),l=je(qa(0,s));for(let u=0;u1){let s=rk(e.slice(0,n),a);r+=`_${s}`}t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=X(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;l0){if(f=!0,n.validationData.length===2)o=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new Pe("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let C=!0,E=await this.standardizeUserData(o,l,null,null,C,c);u=E[0],p=E[1],g=u.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){f=!0;let C=Math.floor(a[0].shape[0]*(1-n.validationSplit)),E=a[0].shape[0];u=wp(a,C,E),s=a,a=wp(a,0,C),p=wp(r,C,E),i=r,r=wp(r,0,C),g=u.concat(p)}else n.validationSteps!=null&&(f=!0);let y=a.concat(r).concat(d);this.checkTrainableWeightsConsistency();let b=this.makeTrainFunction(),x=this.getDedupedMetricsNames(),w,I;f?(this.makeTestFunction(),w=this.testFunction,I=x.slice().concat(x.map(C=>"val_"+C))):(w=null,g=[],I=x.slice());let T=rN(n.callbacks,n.yieldEvery);return await this.fitLoop(b,y,x,c,n.epochs,n.verbose,T,w,g,n.shuffle,I,n.initialEpoch,null,null)}finally{this.isTraining=!1,za(a,e),za(r,t),za(s,e),za(i,t),za(u,o),za(p,l),d!=null&&_e(d)}}async fitLoop(e,t,n,a,r,s,i,o,l,u,p,d,c,h){a==null&&(a=32),r==null&&(r=1),u==null&&(u=!0),d==null&&(d=0);let m=!1;if(o!=null&&l!=null&&(m=!0),h!=null&&(m=!0,c==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let f=this.checkNumSamples(t,a,c,"steps_per_epoch"),g;f!=null&&(g=qa(0,f)),s==null&&(s=1);let{callbackList:y,history:b}=sN(i,s,r,d,f,c,a,m,p);y.setModel(this),this.history=b,await y.onTrainBegin(),this.stopTraining_=!1;for(let x=d;x{let $=T[C][0],R=T[C][1],F=Js(I,$,R-$);E.batch=C,E.size=R-$;let S=Bb(t,F),M=e(S);for(let B=0;BIr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Ir(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Ir(Xd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Ir(Xd(e)));{let e={};for(let t in this.metrics)e[t]=Ir(Xd(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=Xp(e.optimizer_config),n=Ga(t),a;if(typeof e.loss=="string")a=qs(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>qs(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=qs(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>qs(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=qs(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ht.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ht.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:bU,generatedBy:`TensorFlow.js tfjs-layers v${mw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ht.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ht.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(mk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){mk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};_r.className="Model";ne.registerClass(_r);var gN=class extends _r{};gN.className="Functional";ne.registerClass(gN);async function xU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=Xp(n),r=Ga(a,t);if(e.weightsManifest!=null){let s=await Ht.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function vU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ht.getLoadHandlers(e,t);if(n.length===0)n.push(Ht.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return wU(e,void 0,t)}async function wU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ga(Xp(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=kU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function kU(e,t){let n=Ht.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var hl=class extends _r{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:lf("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof hl||e instanceof _r,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=YT({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=XT(this.outputs[0])}this.inboundNodes=[],new yf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pi(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(Je(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new _r({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof hl))throw new Pe(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ga(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};hl.className="Sequential";ne.registerClass(hl);function IU(e){return new _r(e)}function SU(e){return new hl(e)}function yN(e){return YT(e)}function TU(e,t){Na.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},bN=class extends Un{apply(e,t=1){return X4(e,t)}};bN.className="elu";ne.registerClass(bN);var xN=class extends Un{apply(e){return jm(e)}};xN.className="selu";ne.registerClass(xN);var vN=class extends Un{apply(e){return Ke(e)}};vN.className="relu";ne.registerClass(vN);var wN=class extends Un{apply(e){return P(()=>_u(6,Ke(e)))}};wN.className="relu6";ne.registerClass(wN);var kN=class extends Un{apply(e){return e}};kN.className="linear";ne.registerClass(kN);var IN=class extends Un{apply(e){return da(e)}};IN.className="sigmoid";ne.registerClass(IN);var SN=class extends Un{apply(e){return Z4(e)}};SN.className="hardSigmoid";ne.registerClass(SN);var TN=class extends Un{apply(e){return yo(e)}};TN.className="softplus";ne.registerClass(TN);var NN=class extends Un{apply(e){return Y4(e)}};NN.className="softsign";ne.registerClass(NN);var CN=class extends Un{apply(e){return ii(e)}};CN.className="tanh";ne.registerClass(CN);var fw=class extends Un{apply(e,t=-1){return Xa(e,t)}};fw.className="softmax";ne.registerClass(fw);var _N=class extends Un{apply(e,t=-1){return zm(e,t)}};_N.className="logSoftmax";ne.registerClass(_N);var EN=class extends Un{apply(e,t=1){return P(()=>z(da(z(e,t)),e))}};EN.className="swish";ne.registerClass(EN);var AN=class extends Un{apply(e){return P(()=>z(e,ii(yo(e))))}};AN.className="mish";ne.registerClass(AN);function ls(e){return e.getClassName()}function hb(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function us(e){if(e==null){let t={};return t.className="linear",t.config={},hb(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},hb(t)}else return e instanceof Un?e:hb(e)}function gw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var $N=class extends ne.Serializable{},Hc=class extends $N{constructor(e){super(),gw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=X(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=X(t,fe(z(this.l2,Vc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Hc.className="L1L2";ne.registerClass(Hc);function NU(e){return gw(e),new Hc({l1:e!=null?e.l1:null,l2:0})}function CU(e){return gw(e),new Hc({l2:e!=null?e.l2:null,l1:0})}var vk={l1l2:"L1L2"};function ct(e){return Kv(e)}function wk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in vk?vk[e]:e,config:{}};return wk(t)}else return e instanceof $N?e:wk(e)}var yw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ce(e);let n=Ke(e);return this.maxValue!=null&&(n=tn(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};yw.className="ReLU";ne.registerClass(yw);var bw=class extends Ue{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ce(e);return Ac(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};bw.className="LeakyReLU";ne.registerClass(bw);var xw=class extends Ue{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Yt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=Je(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function FN(e,t){return P(()=>(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function _U(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Pe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Fm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Ya(o,n)),o})}function kk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=Iw(e,s);if(r==="causal")throw new Pe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=ul.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function EU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=FN(e,s);if(r==="causal")throw new Pe("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=Xx(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Ya(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var Sw=class extends Ue{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Sw.verifyArgs(t),this.rank=e,en(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Pe(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=tl(t.kernelSize,e,"kernelSize"),this.strides=tl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,xa(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Mt(this.dataFormat),this.activation=us(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Yt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=tl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(nr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ls(this.activation),useBias:this.useBias,biasInitializer:_t(this.biasInitializer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},qc=class extends Sw{constructor(e,t){super(e,t),this.kernel=null,qc.verifyArgs(t),this.filters=t.filters,en(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Yt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n,a=this.bias==null?null:this.bias.read(),r=WT(this.activation.getClassName());if(r!=null&&this.rank===2)n=kk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=_U(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=kk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=EU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Pe("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=Je(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},jc=class extends qc{constructor(e){super(2,e),jc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};jc.className="Conv2D";ne.registerClass(jc);var Kc=class extends qc{constructor(e){super(3,e),Kc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};Kc.className="Conv3D";ne.registerClass(Kc);var Tw=class extends jc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=ar(o,d,u,this.padding),m=ar(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Rm(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Ya(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=ar(t[a],o,s,this.padding),t[r]=ar(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Tw.className="Conv2DTranspose";ne.registerClass(Tw);var Nw=class extends Kc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],y=ar(l,m,d,this.padding),b=ar(u,f,c,this.padding),x=ar(p,g,h,this.padding),w=[r,y,b,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=Yx(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Ya(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=ar(t[a],u,i,this.padding),t[r]=ar(t[r],p,o,this.padding),t[s]=ar(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Nw.className="Conv3DTranspose";ne.registerClass(Nw);var RN=class extends qc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Yt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Yt(t.pointwiseConstraint)}build(e){if(e=Je(e),e.length{e=Ce(e);let n;if(this.rank===1)throw new Pe("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=Is(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.pointwiseInitializer=_t(this.pointwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.pointwiseRegularizer=ct(this.pointwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseConstraint),e.pointwiseConstraint=Xt(this.pointwiseConstraint),e}};RN.className="SeparableConv";var Cw=class extends RN{constructor(e){super(2,e)}};Cw.className="SeparableConv2D";ne.registerClass(Cw);var vf=class extends qc{constructor(e){super(1,e),vf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};vf.className="Conv1D";ne.registerClass(vf);var _w=class extends Ue{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ce(e),this.dataFormat==="channelsLast"){let n=Kd(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Kd(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Kd(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Kd(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};_w.className="Cropping2D";ne.registerClass(_w);var Ew=class extends Ue{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,V4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ce(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?Ea.resizeNearestNeighbor(n,[r,s]):Ea.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?Ea.resizeNearestNeighbor(n,[r,s]):Ea.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Ew.className="UpSampling2D";ne.registerClass(Ew);function AU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Mt(r);let i=Iw(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=ws(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Aw=class extends Sw{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Yt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=Je(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n=AU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ha(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ha(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseRegularizer),e}};Aw.className="DepthwiseConv2D";ne.registerClass(Aw);function DN(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function MN(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(qa(2,l));if(t=Ee(t,u),s!=null)throw new Pe("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=ie(ie(r,"bool"),"float32"),r.rank===l-1&&(r=Qt(r,-1)),r=Ee(r,u)),a&&(t=ga(t,0),r!=null&&(r=ga(r,0)));let p=[],d,c=n,h=t.shape[0],m=lt(t),f;r!=null&&(f=lt(r));for(let y=0;ye(b,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[y],T=pe(ea(I),I),C=X(z(x[0],I),z(c[0],T)),E=c.map(($,R)=>X(z(x[1][R],I),z($,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var mr=class extends Ue{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new If({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return qa(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Ob(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aGt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=DN(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Va){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ce(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=MN((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Bc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Mb(t,[1,n]):t):this.cell.stateSize>1?[Mb(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===mr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ga(a,n);return new e(Object.assign(t,{cell:r}))}};mr.className="RNN";ne.registerClass(mr);var Xc=class extends Ue{},wf=class extends Xc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=us(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ea(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ea(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=or(z(e,s),this.kernel.read()):r=or(e,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),i!=null&&(n=z(n,i));let o=X(r,or(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),recurrentInitializer:_t(this.recurrentInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),recurrentRegularizer:ct(this.recurrentRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),recurrentConstraint:Xt(this.recurrentConstraint),biasConstraint:Xt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};wf.className="SimpleRNNCell";ne.registerClass(wf);var $w=class extends mr{constructor(e){e.cell=new wf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};$w.className="SimpleRNN";ne.registerClass($w);var kf=class extends Xc{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,en(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ea(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Fw.className="GRU";ne.registerClass(Fw);var Yc=class extends Xc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=Je(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Da{apply(i,o){let l=r.apply([s]),u=new pf().apply([s]),p=r.apply([s*2]);return ik(ik(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ea(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Rw.className="LSTM";ne.registerClass(Rw);var If=class extends Xc{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Zs(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ga(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return Lb(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):jT(t(),n),o=()=>Uc(i,t,a);return!r||r<=1?Gt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Gt(l.clone()))}var $U=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sGt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ha(l,a[0],r,s[0],i[0]),d=Ha(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};PN.className="ConvRNN2D";var Sf=class extends Yc{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,en(this.filters,"filters"),this.kernelSize=tl(n,2,"kernelSize"),this.kernelSize.forEach(o=>en(o,"kernelSize")),this.strides=tl(a||1,2,"strides"),this.strides.forEach(o=>en(o,"strides")),this.padding=r||"valid",xa(this.padding),this.dataFormat=s||"channelsLast",Mt(this.dataFormat),this.dilationRate=tl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>en(o,"dilationRate"))}build(e){var t;e=Je(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Da{apply(p,d){let c=l.apply([u]),h=Zn([u]),m=l.apply([u*2]);return Yv([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ea(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,J,ee)=>!J||!J[ee]?Z:z(J[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ea(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),y=l(r,h,3),b=3,[x,w,I,T]=zn(this.kernel.read(),i,b),[C,E,$,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,$,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,b);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),y=this.recurrentConv(y,B);let U=this.recurrentActivation.apply(X(u,m)),G=this.recurrentActivation.apply(X(p,f)),j=X(z(G,s),z(U,this.activation.apply(X(d,g)))),K=z(this.recurrentActivation.apply(X(c,y)),this.activation.apply(j));return[K,K,j]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=$U(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=Rt(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Ya(r,n,this.dataFormat):r}recurrentConv(e,t){return Rt(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Sf.className="ConvLSTM2DCell";ne.registerClass(Sf);var Dw=class extends PN{constructor(e){let t=new Sf(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Dw.className="ConvLSTM2D";ne.registerClass(Dw);var Tf=class extends Ue{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);if(0jT(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Tf.className="Dropout";ne.registerClass(Tf);var Mw=class extends Tf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Mw.className="SpatialDropout1D";ne.registerClass(Mw);var Pw=class extends Ue{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,en(this.units,"units"),this.activation=us(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Yt(e.kernelConstraint),this.biasConstraint=Yt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=Je(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=Je(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=WT(this.activation.getClassName()),r;return a!=null?r=or(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=or(n,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="Dense";ne.registerClass(Pw);var Ow=class extends Ue{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=Je(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],ns(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ce(e);return this.activation.apply(n)})}getConfig(){let e={activation:ls(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Lw.className="Activation";ne.registerClass(Lw);var zw=class extends Ue{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ce(e),q4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};zw.className="RepeatVector";ne.registerClass(zw);var Ww=class extends Ue{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ce(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Ww.className="Reshape";ne.registerClass(Ww);var Bw=class extends Ue{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=qa(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=Je(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ce(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Bw.className="Permute";ne.registerClass(Bw);var Vw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ce(e),a=-1;return Gp(li(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=-1,r=!0,s=Gp(li(n,this.maskValue),a,r);return z(n,ie(s,n.dtype))})}};Vw.className="Masking";ne.registerClass(Vw);var Uw=class extends Ue{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(yt(e.inputLength))}this.inputDim=e.inputDim,en(this.inputDim,"inputDim"),this.outputDim=e.outputDim,en(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Yt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ce(e),li(e,qe(e))):null)}computeOutputShape(e){if(e=Je(e),this.inputLength==null)return[...e,this.outputDim];let t=yt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);n.dtype!=="int32"&&(n=ir(n,"int32"));let a=qT(this.embeddings.read(),W(n,[n.size]));return W(a,Je(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:_t(this.embeddingsInitializer),embeddingsRegularizer:ct(this.embeddingsRegularizer),activityRegularizer:ct(this.activityRegularizer),embeddingsConstraint:Xt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Uw.className="Embedding";ne.registerClass(Uw);var Io=class extends Ue{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Pe}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&ts(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=os(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=qa(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(qa(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Qt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>Yv(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Pe("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Pe("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Pe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>kp(r,e[s].shape.length)):a=[kp(this.axes,t.shape.length),kp(this.axes,n.shape.length)],this.normalize&&(t=_h(t,a[0]),n=_h(n,a[1])),FU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[kp(this.axes,e.length),kp(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Pe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};Yw.className="Dot";ne.registerClass(Yw);var Zw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return Uc(()=>X(uf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};Zw.className="GaussianNoise";ne.registerClass(Zw);var Jw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return this.rate>0&&this.rate<1?Uc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,uf(n.shape,1,a))},()=>n,t.training||!1):n})}};Jw.className="GaussianDropout";ne.registerClass(Jw);var Qw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ce(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Uc(()=>{let a=Ce(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=$r(Eu(n),this.rate);o=ir(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=X(z(a,o),z(X(o,-1),i));return X(z(p,l),u)},()=>Ce(e),t.training||!1)}return e})}};Qw.className="AlphaDropout";ne.registerClass(Qw);function Yp(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=zx(e,t,n,a,r,s);else if(e.rank===3)i=Wx(e,t,n,a,r,s);else if(e.rank===4)i=Bx(e,t,n,a,r,s);else throw new Pe(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function RU(e,t,n,a,r=.001){return P(()=>{let s=Rc(e,a),i=s.mean,o=s.variance;return[Yp(e,i,o,n,t,r),i,o]})}function DU(e,t,n,a,r=.001){return P(()=>{let s=Rc(e,a),i=s.mean,o=s.variance,l=[];for(let h of qa(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[Yp(e,u,p,c,d,r),i,o]})}function MU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),qa(0,e.rank-1))?RU(e,t,n,a,r):DU(e,t,n,a,r)}var e0=class extends Ue{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Yt(e.betaConstraint),this.gammaConstraint=Yt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=Je(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ce(e),r=a.shape,s=r.length,i=qa(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=pi(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,qa(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),y=W(this.movingVariance.read(),l),b=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return Yp(a,g,y,b,x,this.epsilon)}else return Yp(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=MU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,y,b)=>{P(()=>{let x=1-b,w=g.read(),I=z(pe(w,y),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:_t(this.betaInitializer),gammaInitializer:_t(this.gammaInitializer),movingMeanInitializer:_t(this.movingMeanInitializer),movingVarianceInitializer:_t(this.movingVarianceInitializer),betaRegularizer:ct(this.betaRegularizer),gammaRegularizer:ct(this.gammaRegularizer),betaConstraint:Xt(this.betaConstraint),gammaConstraint:Xt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};e0.className="BatchNormalization";ne.registerClass(e0);var t0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=Je(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==ts(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ce(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=Rc(n,this.axis,!0),o=pi(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ba(e,a)})}var n0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>PU(Ce(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};n0.className="ZeroPadding2D";ne.registerClass(n0);function Nf(e,t,n,a,r,s){return P(()=>{Mt(r),VT(s),xa(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=Iw(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ya(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function ON(e,t,n,a,r,s){return P(()=>{Mt(r),VT(s),xa(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=FN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=dv(e,t,n,o):i=Lx(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var LN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(en(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,xa(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=Je(e);let t=Ha(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Bc(Ce(e),2);let n=this.poolingFunction(Ce(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Ss(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},a0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"max")}};a0.className="MaxPooling1D";ne.registerClass(a0);var r0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"avg")}};r0.className="AveragePooling1D";ne.registerClass(r0);var zN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},s0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"max")}};s0.className="MaxPooling2D";ne.registerClass(s0);var i0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"avg")}};i0.className="AveragePooling2D";ne.registerClass(i0);var WN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),a=Ha(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},o0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),ON(e,t,n,a,r,"max")}};o0.className="MaxPooling3D";ne.registerClass(o0);var l0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),ON(e,t,n,a,r,"avg")}};l0.className="AveragePooling3D";ne.registerClass(l0);var BN=class extends Ue{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Pe}},u0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return Ct(n,1)})}};u0.className="GlobalAveragePooling1D";ne.registerClass(u0);var p0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return ha(n,1)})}};p0.className="GlobalMaxPooling1D";ne.registerClass(p0);var VN=class extends Ue{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Pe}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},c0=class extends VN{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?Ct(n,[1,2]):Ct(n,[2,3])})}};c0.className="GlobalAveragePooling2D";ne.registerClass(c0);var d0=class extends VN{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?ha(n,[1,2]):ha(n,[2,3])})}};d0.className="GlobalMaxPooling2D";ne.registerClass(d0);var UN=class extends Ue{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ga(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},h0=class extends UN{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=Je(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=Je(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ce(e),MN((n,a)=>[Ce(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};h0.className="TimeDistributed";ne.registerClass(h0);function OU(e){wo(B4,"BidirectionalMergeMode",e)}var LU="concat",m0=class extends UN{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ga(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ga(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?LU:e.mergeMode,OU(this.mergeMode),e.weights)throw new Pe("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=DN(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Pe("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Va;for(let l of s)if(l instanceof Va!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ga(r,1));let i;return this.mergeMode==="concat"?i=Yv([a,r]):this.mergeMode==="sum"?i=X(a,r):this.mergeMode==="ave"?i=z(.5,X(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Zs(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Zs(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ga(t.layer);if(delete t.layer,t.numConstants!=null)throw new Pe("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};m0.className="Bidirectional";ne.registerClass(m0);var f0=class extends Ue{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ce(e),e.dtype!=="float32"&&(e=ir(e,"float32")),X(z(e,this.scale),this.offset)))}};f0.className="Rescaling";ne.registerClass(f0);var{resizeBilinear:zU,cropAndResize:WU}=Ea,g0=class extends Ue{constructor(e){super(e),this.height=e.height,this.width=e.width}centerCrop(e,t,n,a,r,s,i,o){return P(()=>{let l,u=!1,p=t/s,d=n/i,c=(a+t)/s,h=(r+n)/i,m=[p,d,c,h],f=[];e.rank===3?(u=!0,l=Ft([e])):l=e;for(let x=0;x{let r=zU(e,[t,n]);return ir(r,a)})}call(e,t){return P(()=>{let n=Ce(e),a=n.dtype,r=n.shape,s=r[r.length-3],i=r[r.length-2],o=0;s!==this.height&&(o=Math.floor((s-this.height)/2));let l=0;return i!==this.width&&(l=Math.floor((i-this.width)/2),l===0&&(l=1)),o>=0&&l>=0?this.centerCrop(n,o,l,this.height,this.width,s,i,a):this.upsize(e,this.height,this.width,a)})}getConfig(){let e={height:this.height,width:this.width},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){e=Je(e);let t=e.length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}};g0.className="CenterCrop";ne.registerClass(g0);function BU(e,t,n,a){let r=Ce(e);if(r.dtype!=="int32"&&(r=ir(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Qt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Qt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=Ih(o,a,n,i):l=Ih(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var y0=class extends Ue{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=Je(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ce(e),e.dtype!=="int32"&&(e=ir(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. - Received countWeights=${t.countWeights}`);n=Ce(t.countWeights)}let a=ha(e),r=rl(e),s=Nn(this.numTokens,a).bufferSync().get(0),i=$r(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return BU(e,this.outputMode,this.numTokens,n)})}};y0.className="CategoryEncoding";ne.registerClass(y0);var VU=["bilinear","nearest"],Ik=new Set(VU),b0=class extends Ue{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(Ik.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Je(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return Ea.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return Ea.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Ik]} are supported`)})}};b0.className="Resizing";ne.registerClass(b0);function UU(e){return new $u(e)}function GU(e){return new vw(e)}function HU(e){return new yw(e)}function qU(e){return new bw(e)}function jU(e){return new xw(e)}function KU(e){return new kw(e)}function XU(e){return new ww(e)}function YU(e){return new vf(e)}function ZU(e){return new jc(e)}function JU(e){return new Tw(e)}function QU(e){return new Kc(e)}function eG(e){return new Nw(e)}function tG(e){return new Cw(e)}function nG(e){return new _w(e)}function aG(e){return new Ew(e)}function rG(e){return new Aw(e)}function sG(e){return new Lw(e)}function iG(e){return new Pw(e)}function oG(e){return new Tf(e)}function lG(e){return new Mw(e)}function uG(e){return new Ow(e)}function pG(e){return new zw(e)}function cG(e){return new Ww(e)}function dG(e){return new Bw(e)}function hG(e){return new Uw(e)}function mG(e){return new Gw(e)}function fG(e){return new qw(e)}function gG(e){return new Xw(e)}function yG(e){return new jw(e)}function bG(e){return new Kw(e)}function xG(e){return new Hw(e)}function vG(e){return new Yw(e)}function wG(e){return new e0(e)}function kG(e){return new t0(e)}function IG(e){return new n0(e)}function x0(e){return new r0(e)}function SG(e){return x0(e)}function TG(e){return x0(e)}function v0(e){return new i0(e)}function NG(e){return v0(e)}function CG(e){return v0(e)}function w0(e){return new l0(e)}function _G(e){return w0(e)}function EG(e){return w0(e)}function AG(e){return new u0(e)}function $G(e){return new c0(e)}function GN(e){return new p0(e)}function HN(e){return new d0(e)}function qN(e){return new a0(e)}function jN(e){return new s0(e)}function FG(e){return new o0(e)}function RG(e){return new Fw(e)}function DG(e){return new kf(e)}function MG(e){return new Rw(e)}function PG(e){return new Yc(e)}function OG(e){return new $w(e)}function LG(e){return new wf(e)}function zG(e){return new Dw(e)}function WG(e){return new Sf(e)}function BG(e){return new mr(e)}function VG(e){return new If(e)}function UG(e){return new m0(e)}function GG(e){return new h0(e)}var HG=GN,qG=HN,jG=qN,KG=jN;function XG(e){return new Zw(e)}function YG(e){return new Jw(e)}function ZG(e){return new Qw(e)}function JG(e){return new Vw(e)}function QG(e){return new f0(e)}function eH(e){return new g0(e)}function tH(e){return new b0(e)}function nH(e){return new y0(e)}var KN={};Ae(KN,{MAPE:()=>hH,MSE:()=>gH,binaryAccuracy:()=>aH,binaryCrossentropy:()=>rH,categoricalAccuracy:()=>iH,categoricalCrossentropy:()=>oH,cosineProximity:()=>pH,mape:()=>mH,meanAbsoluteError:()=>cH,meanAbsolutePercentageError:()=>dH,meanSquaredError:()=>fH,mse:()=>yH,precision:()=>lH,recall:()=>uH,sparseCategoricalAccuracy:()=>sH});function aH(e,t){return cw(e,t)}function rH(e,t){return lN(e,t)}function sH(e,t){return uN(e,t)}function iH(e,t){return dw(e,t)}function oH(e,t){return hw(e,t)}function lH(e,t){return oN(e,t)}function uH(e,t){return HV(e,t)}function pH(e,t){return pw(e,t)}function cH(e,t){return bf(e,t)}function dH(e,t){return Fu(e,t)}function hH(e,t){return Fu(e,t)}function mH(e,t){return Fu(e,t)}function fH(e,t){return ko(e,t)}function gH(e,t){return ko(e,t)}function yH(e,t){return ko(e,t)}var XN={};Ae(XN,{modelFromJSON:()=>xU});var YN={};Ae(YN,{l1:()=>xH,l1l2:()=>bH,l2:()=>vH});function bH(e){return new Hc(e)}function xH(e){return NU(e)}function vH(e){return CU(e)}var ZN=class extends dl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof _r))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function Yd(e,t){return et}var JN=class extends ZN{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Pe("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Yd:this.mode==="max"?this.monitorFunc=Sk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Sk:this.monitorFunc=Yd,this.monitorFunc===Yd&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Yd?1/0:-1/0}async onEpochEnd(e,t){await jr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function wH(e){return new JN(e)}var kH={earlyStopping:wH},IH=H();IH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ta;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ta||(Ta={}));var Tk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(Tk||(Tk={}));var k0={};function SH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};k0[e]=n}function QN(e){return k0[e]}function TH(e){delete k0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return wn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>wn(d,n,a,r));let u=wn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function wn(e,t,n,a){let[r,s]=Xn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Rh(r,o)]);return i!==void 0?t[Rh(r,i)][s]:void 0}function NH(e,t,n){return t[Rh(e,n.currentContextId)]}function Sr(e,t){let[n,a,r]=Xn(e);return[Rh(n,t&&t.currentContextId),a,r]}function Rh(e,t){return t?`${e}-${t}`:e}function Xn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function sh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function Tr(e){return e.kept?e:sr(e)}var e2={};Ae(e2,{json:()=>CH});var CH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],t2={};Ae(t2,{json:()=>_H});var _H=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],n2={};Ae(n2,{json:()=>EH});var EH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],a2={};Ae(a2,{json:()=>AH});var AH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],r2={};Ae(r2,{json:()=>$H});var $H=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],s2={};Ae(s2,{json:()=>FH});var FH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],i2={};Ae(i2,{json:()=>RH});var RH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],o2={};Ae(o2,{json:()=>DH});var DH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],l2={};Ae(l2,{json:()=>MH});var MH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],u2={};Ae(u2,{json:()=>PH});var PH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],p2={};Ae(p2,{json:()=>OH});var OH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],c2={};Ae(c2,{json:()=>LH});var LH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],d2={};Ae(d2,{json:()=>zH});var zH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],h2={};Ae(h2,{json:()=>WH});var WH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],m2={};Ae(m2,{json:()=>BH});var BH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],f2={};Ae(f2,{json:()=>VH});var VH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],g2={};Ae(g2,{json:()=>UH});var UH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],y2={};Ae(y2,{json:()=>GH});var GH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],b2={};Ae(b2,{json:()=>HH});var HH=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Nk=class{constructor(){let e=[e2,t2,n2,a2,r2,s2,i2,o2,l2,u2,p2,c2,d2,h2,m2,f2,g2,y2,b2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,y)=>{let[b,,x]=Sr(g),w=i[b];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${b}:${I}`;f.inputNames[y]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=Sr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=Sr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=QN(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Ub(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Ub(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=Yb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Yb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Hb(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=Hb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=Xb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Xb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Gb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Gb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=Jb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=Kb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Kb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=Zb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=qb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=qb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=jb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Ck(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Ck(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=Sr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:I0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=Sr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let y=`${h}:${g}`;p.inputNames[c]=y}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=Sr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function qH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function x2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):qH(e);return t?n:n.toLowerCase()}function Ub(e,t,n,a=!1){let r=e[t];return r!=null?x2(r.s,a):n}function Gb(e,t,n){let a=e[t];return a?a.b:n}function Hb(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function I0(e){switch(typeof e=="string"&&(e=Ta[e]),e){case Ta.DT_FLOAT:case Ta.DT_HALF:return"float32";case Ta.DT_INT32:case Ta.DT_INT64:case Ta.DT_INT8:case Ta.DT_UINT8:return"int32";case Ta.DT_BOOL:return"bool";case Ta.DT_DOUBLE:return"float32";case Ta.DT_STRING:return"string";default:return null}}function Ck(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function qb(e,t,n){let a=e[t];return a&&a.type?I0(a.type):n}function jb(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>I0(r)):n}function v2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Kb(e,t,n){let a=e[t];return a&&a.shape?v2(a.shape):n}function Xb(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function Yb(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>x2(s,a)):n}function Zb(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>v2(r)):n}function Jb(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var jH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return wn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return wn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Hb(this.node.rawAttrs,e,t);if(n.s!=null)return Ub(this.node.rawAttrs,e,t);if(n.b!=null)return Gb(this.node.rawAttrs,e,t);if(n.shape!=null)return Kb(this.node.rawAttrs,e,t);if(n.type!=null)return qb(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Xb(this.node.rawAttrs,e,t);if(n.list.s!=null)return Yb(this.node.rawAttrs,e,t);if(n.list.shape!=null)return Zb(this.node.rawAttrs,e,t);if(n.list.b!=null)return Jb(this.node.rawAttrs,e,t);if(n.list.type!=null)return jb(this.node.rawAttrs,e,t)}return t}},an={};Ae(an,{OP_SCOPE_SUFFIX:()=>Ix,abs:()=>Lt,acos:()=>Ex,acosh:()=>Ax,add:()=>X,addN:()=>tS,all:()=>$m,any:()=>Gp,argMax:()=>ri,argMin:()=>$x,asin:()=>Fx,asinh:()=>Rx,atan:()=>Dx,atan2:()=>Mx,atanh:()=>Px,avgPool:()=>ya,avgPool3d:()=>Lx,basicLSTMCell:()=>sS,batchNorm:()=>vs,batchNorm2d:()=>zx,batchNorm3d:()=>Wx,batchNorm4d:()=>Bx,batchToSpaceND:()=>Cc,bincount:()=>Vx,booleanMaskAsync:()=>HS,broadcastArgs:()=>iS,broadcastTo:()=>Ys,buffer:()=>Le,cast:()=>ie,ceil:()=>Ux,clipByValue:()=>tn,clone:()=>sr,complex:()=>Er,concat:()=>Ze,concat1d:()=>Gx,concat2d:()=>Hx,concat3d:()=>qx,concat4d:()=>jx,conv1d:()=>Fm,conv2d:()=>Rt,conv2dTranspose:()=>Rm,conv3d:()=>Xx,conv3dTranspose:()=>Yx,cos:()=>_c,cosh:()=>Dm,cosineWindow:()=>tf,cumprod:()=>jp,cumsum:()=>Mm,denseBincount:()=>Ih,depthToSpace:()=>Zx,depthwiseConv2d:()=>ws,diag:()=>lS,dilation2d:()=>Jx,div:()=>he,divNoNan:()=>Qx,dot:()=>ev,dropout:()=>Fv,einsum:()=>pS,elu:()=>Su,enclosingPowerOfTwo:()=>Rv,equal:()=>Jn,erf:()=>tv,euclideanNorm:()=>rv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>sv,eye:()=>Pm,fft:()=>Oc,fill:()=>bn,floor:()=>Nu,floorDiv:()=>Am,fused:()=>ul,gather:()=>Cu,gatherND:()=>YS,greater:()=>Nn,greaterEqual:()=>$r,ifft:()=>ll,imag:()=>Ec,image:()=>Ea,inTopKAsync:()=>ZS,irfft:()=>Zm,isFinite:()=>iv,isInf:()=>ov,isNaN:()=>lv,leakyRelu:()=>Ac,less:()=>Om,lessEqual:()=>ks,linalg:()=>Pv,linspace:()=>fS,localResponseNormalization:()=>uv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>pv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>$a,logicalNot:()=>Fc,logicalOr:()=>Bm,logicalXor:()=>cv,losses:()=>uT,lowerBound:()=>yS,matMul:()=>Re,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>dv,maxPoolWithArgmax:()=>bS,maximum:()=>dr,mean:()=>Ct,meshgrid:()=>xS,min:()=>rl,minimum:()=>_u,mirrorPad:()=>hv,mod:()=>mv,moments:()=>Rc,movingAverage:()=>qS,mul:()=>z,multiRNNCell:()=>vS,multinomial:()=>wS,neg:()=>bt,norm:()=>Tu,notEqual:()=>li,oneHot:()=>sl,ones:()=>Zn,onesLike:()=>ea,op:()=>L,outerProduct:()=>kS,pad:()=>ba,pad1d:()=>IS,pad2d:()=>SS,pad3d:()=>TS,pad4d:()=>NS,pool:()=>fv,pow:()=>Ar,prelu:()=>Mc,print:()=>Cx,prod:()=>gv,raggedGather:()=>CS,raggedRange:()=>_S,raggedTensorToTensor:()=>ES,rand:()=>AS,randomGamma:()=>DS,randomNormal:()=>Um,randomStandardNormal:()=>MS,randomUniform:()=>Eu,range:()=>ui,real:()=>il,reciprocal:()=>wv,relu:()=>Ke,relu6:()=>Gm,reshape:()=>W,reverse:()=>ga,reverse1d:()=>PS,reverse2d:()=>OS,reverse3d:()=>LS,reverse4d:()=>zS,rfft:()=>Lc,round:()=>Hm,rsqrt:()=>qm,scalar:()=>xe,scatterND:()=>KS,searchSorted:()=>Vm,selu:()=>jm,separableConv2d:()=>Is,setdiff1dAsync:()=>WS,sigmoid:()=>da,sign:()=>kv,signal:()=>lT,sin:()=>Km,sinh:()=>Xm,slice:()=>Ve,slice1d:()=>Pc,slice2d:()=>Ym,slice3d:()=>bo,slice4d:()=>ol,softmax:()=>Xa,softplus:()=>yo,spaceToBatchND:()=>Dc,sparse:()=>pT,sparseToDense:()=>XS,spectral:()=>oT,split:()=>zn,sqrt:()=>pn,square:()=>it,squaredDifference:()=>Jm,squeeze:()=>Ss,stack:()=>Ft,step:()=>xo,stridedSlice:()=>Iv,string:()=>cT,sub:()=>pe,sum:()=>fe,tan:()=>Sv,tanh:()=>ii,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Aa,tensor3d:()=>zc,tensor4d:()=>Ra,tensor5d:()=>BS,tensor6d:()=>VS,tile:()=>Ln,topk:()=>Tv,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Nv,unsortedSegmentSum:()=>ef,unstack:()=>lt,upperBound:()=>US,variable:()=>Cv,where:()=>gn,whereAsync:()=>_v,zeros:()=>It,zerosLike:()=>qe});var KH=(e,t,n,a=an)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},XH=(e,t,n,a=an)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(wn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(wn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function _a(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function _k(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ip(e,t,n){let a=Qb(e,n),r=!_k(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=Qb(s.shape,a)}),!_k(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function Qb(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var YH=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=xe(0),Gt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),_a(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Gt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,lt(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to +2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ia))u[h]=Ia[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ia);for(let h of Object.keys(n))Ia[h]=n[h];Db(s.config);let c=l(o,s.config,n,r);return Ia=Object.assign({},d),c}else{let u=Object.assign({},Ia);for(let d of Object.keys(n))Ia[d]=n[d];let p=new o(s.config);return Ia=Object.assign({},u),p}}}function R4(e,t){return et?1:0}function qd(e,t){return-1*R4(e,t)}function ts(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function D4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function wo(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Xv(e,t,n=0,a=1/0){return nr(n>=0),nr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>en(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${zT(e)}.`)}function zT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>zT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function M4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return jo.set(n,1),n}else return e}var G4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function HT(e){return!!e.match(G4)}function H4(e){return e===parseInt(e.toString(),10)}function ns(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function qa(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Bc(e,1);return Mb(n,[1,t,1])})}function j4(e){let t=[ns(e.shape)];return W(e,t)}function K4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],ns(e.shape,1)];return W(e,t)}function Js(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Ym(e,[t,0],[n,e.shape[1]]);case 3:return bo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return ol(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ve(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Ve(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function ub(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Ym(e,[0,t],[e.shape[0],n]);case 3:return bo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return ol(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Kd(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:switch(a){case 1:return Js(e,t,n);case 2:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Js(e,t,n);case 2:return bo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Js(e,t,n);case 2:return ol(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return ol(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return ub(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function Yv(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function ik(e,t){switch(e.rank){case 1:return Gx([e,t]);case 2:return Hx([e,t],0);case 3:return qx([e,t],0);case 4:return jx([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Mb(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function uf(e,t=0,n=1,a,r){return Um(e,t,n,a,r)}function or(e,t,n,a){if(e.rank<2||t.rank<2)throw new Pe(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Pe(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return ul.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Pb(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(ul.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Pb(e.rank,a,ja()):null,activation:n}),d)}}function qT(e,t,n){return P(()=>(Array.isArray(t)?t=je(t,"int32"):t=ie(t,"int32"),Cu(e,t,n)))}function Vc(e){return z(e,e)}function Pb(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Ya(e,t,n){return P(()=>(n==null&&(n=ja()),Mt(n),X(e,Pb(e.rank,t,n))))}function X4(e,t=1){if(t!==1)throw new Pe(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Su(e)}function Y4(e){return P(()=>he(e,X(Lt(e),1)))}function jT(e,t,n,a){return P(()=>Fv(e,t,n,a))}function Z4(e){return P(()=>{let t=X(.5,z(.2,e));return tn(t,0,1)})}function Uc(e,t,n=!1){return n?e():t()}var J4=["fanIn","fanOut","fanAvg"],Q4=["normal","uniform","truncatedNormal"];function eV(e){wo(J4,"FanMode",e)}function tV(e){wo(Q4,"Distribution",e)}var Da=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Zv=class extends Da{apply(e,t){return It(e,t)}};Zv.className="Zeros";ne.registerClass(Zv);var pf=class extends Da{apply(e,t){return Zn(e,t)}};pf.className="Ones";ne.registerClass(pf);var Jv=class extends Da{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(xe(this.value),Zn(e,t)))}getConfig(){return{value:this.value}}};Jv.className="Constant";ne.registerClass(Jv);var Qv=class extends Da{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Eu(e,this.minval,this.maxval,t,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Qv.className="RandomUniform";ne.registerClass(Qv);var ew=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`randomNormal does not support dType ${t}.`);return uf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};ew.className="RandomNormal";ne.registerClass(ew);var tw=class extends Da{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`truncatedNormal does not support dType ${t}.`);return Qm(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};tw.className="TruncatedNormal";ne.registerClass(tw);var nw=class extends Da{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Pm(e[0]))})}getConfig(){return{gain:this.gain}}};nw.className="Identity";ne.registerClass(nw);function nV(e,t="channelsLast"){let n,a;if(Mt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=ns(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=ns(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=ns(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Da{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,eV(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,tV(this.distribution),this.seed=e.seed}apply(e,t){let n=nV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Pe(`${this.getClassName()} does not support dType ${t}.`);return Qm(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Eu(e,-i,i,t,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var cf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};cf.className="GlorotUniform";ne.registerClass(cf);var df=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};df.className="GlorotNormal";ne.registerClass(df);var hf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};hf.className="HeNormal";ne.registerClass(hf);var mf=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};mf.className="HeUniform";ne.registerClass(mf);var ff=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};ff.className="LeCunNormal";ne.registerClass(ff);var gf=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};gf.className="LeCunUniform";ne.registerClass(gf);var aw=class extends Da{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Pe("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Pe("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=uf(n,0,1,"float32"),r=Pv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};aw.className="Orthogonal";ne.registerClass(aw);var ok={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function lk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function _t(e){return Kv(e)}function St(e){if(typeof e=="string"){let t=e in ok?ok[e]:e;if(t==="GlorotNormal")return new df;if(t==="GlorotUniform")return new cf;if(t==="HeNormal")return new hf;if(t==="HeUniform")return new mf;if(t==="LeCunNormal")return new ff;if(t==="LeCunUniform")return new gf;{let n={};return n.className=t,n.config={},lk(n)}}else return e instanceof Da?e:lk(e)}function Ob(e){return Array.isArray(e)&&Array.isArray(e[0])}function Sh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ce(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function Je(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Th(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var uk="Variable",KT=class{constructor(e,t="float32",n=uk,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=BT(),n=n==null?uk:n,this.originalName=UT(n),this.name=GT(this.originalName),this.trainable_=a,this.constraint=r,this.val=Cv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),aV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function aV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function Lb(e){return e.map(t=>t.read())}function rw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Va=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=BT(),s!=null&&(this.originalName=UT(s),this.name=GT(this.originalName)),this.rank=t.length}},rV=0,yf=class{constructor(e,t){this.callArgs=t,this.id=rV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},sV=0,Ue=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=sV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Ir(n)+"_"+lf(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Ba(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new kr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new kr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=yt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=yt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of yt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=yt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Pe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=iV(e),i=this.computeOutputShape(s),o,l=oV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Va(l,u,this,yt(e),t,this.name,p)):o=new Va(l,i,this,yt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Pe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new kr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new kr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ba(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Th(this.weights)}build(e){this.built=!0}getWeights(e=!1){return Lb(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=Lb(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=yt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=yt(e);t=yt(t),n=yt(n),a=yt(a),r=Sh(r),s=Sh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new yf({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function iV(e){e=yt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function oV(e){return"float32"}function XT(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Nh.get(p),c;if(d==null){let m=pV(i,t);d=m.sorted,c=m.recipientCounts,Nh.put(p,d),Ch.put(p,c)}c={},r||Object.assign(c,Ch.get(p));let h=new Xs(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=$),$0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=pk(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=pk(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:cV(a)}}function cV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function pk(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function dV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,uV);var ZT={};Ae(ZT,{maxNorm:()=>mV,minMaxNorm:()=>yV,nonNeg:()=>gV,unitNorm:()=>fV});function sw(e,t){return P(()=>pn(fe(z(e,e),t,!0)))}var Gc=class extends ne.Serializable{getConfig(){return{}}},iw=class extends Gc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=sw(e,this.axis),n=tn(t,0,this.maxValue);return z(e,he(n,X(qt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};iw.className="MaxNorm";ne.registerClass(iw);var ow=class extends Gc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,X(qt(),sw(e,this.axis))))}getConfig(){return{axis:this.axis}}};ow.className="UnitNorm";ne.registerClass(ow);var lw=class extends Gc{apply(e){return Ke(e)}};lw.className="NonNeg";ne.registerClass(lw);var uw=class extends Gc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=sw(e,this.axis),n=X(z(this.rate,tn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,X(qt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};uw.className="MinMaxNorm";ne.registerClass(uw);var ck={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Xt(e){return Kv(e)}function dk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Yt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in ck?ck[e]:e,config:{}};return dk(t)}else return e instanceof Gc?e:dk(e)}function mV(e){return new iw(e)}function fV(e){return new ow(e)}function gV(){return new lw}function yV(e){return new uw(e)}var JT={};Ae(JT,{constant:()=>vV,glorotNormal:()=>CV,glorotUniform:()=>NV,heNormal:()=>_V,heUniform:()=>EV,identity:()=>SV,leCunNormal:()=>AV,leCunUniform:()=>$V,ones:()=>xV,orthogonal:()=>FV,randomNormal:()=>kV,randomUniform:()=>wV,truncatedNormal:()=>IV,varianceScaling:()=>TV,zeros:()=>bV});function bV(){return new Zv}function xV(){return new pf}function vV(e){return new Jv(e)}function wV(e){return new Qv(e)}function kV(e){return new ew(e)}function IV(e){return new tw(e)}function SV(e){return new nw(e)}function TV(e){return new Bn(e)}function NV(e){return new cf(e)}function CV(e){return new df(e)}function _V(e){return new hf(e)}function EV(e){return new mf(e)}function AV(e){return new ff(e)}function $V(e){return new gf(e)}function FV(e){return new aw(e)}var QT={};Ae(QT,{Layer:()=>Ue,RNN:()=>mr,RNNCell:()=>Xc,activation:()=>sG,add:()=>mG,alphaDropout:()=>ZG,average:()=>fG,averagePooling1d:()=>x0,averagePooling2d:()=>v0,averagePooling3d:()=>w0,avgPool1d:()=>SG,avgPool2d:()=>NG,avgPool3d:()=>_G,avgPooling1d:()=>TG,avgPooling2d:()=>CG,avgPooling3d:()=>EG,batchNormalization:()=>wG,bidirectional:()=>UG,categoryEncoding:()=>nH,centerCrop:()=>eH,concatenate:()=>gG,conv1d:()=>YU,conv2d:()=>ZU,conv2dTranspose:()=>JU,conv3d:()=>QU,conv3dTranspose:()=>eG,convLstm2d:()=>zG,convLstm2dCell:()=>WG,cropping2D:()=>nG,dense:()=>iG,depthwiseConv2d:()=>rG,dot:()=>vG,dropout:()=>oG,elu:()=>GU,embedding:()=>hG,flatten:()=>uG,gaussianDropout:()=>YG,gaussianNoise:()=>XG,globalAveragePooling1d:()=>AG,globalAveragePooling2d:()=>$G,globalMaxPool1d:()=>HG,globalMaxPool2d:()=>qG,globalMaxPooling1d:()=>GN,globalMaxPooling2d:()=>HN,gru:()=>RG,gruCell:()=>DG,input:()=>yN,inputLayer:()=>UU,layerNormalization:()=>kG,leakyReLU:()=>qU,lstm:()=>MG,lstmCell:()=>PG,masking:()=>JG,maxPool1d:()=>jG,maxPool2d:()=>KG,maxPooling1d:()=>qN,maxPooling2d:()=>jN,maxPooling3d:()=>FG,maximum:()=>yG,minimum:()=>bG,multiply:()=>xG,permute:()=>dG,prelu:()=>jU,reLU:()=>HU,repeatVector:()=>pG,rescaling:()=>QG,reshape:()=>cG,resizing:()=>tH,rnn:()=>BG,separableConv2d:()=>tG,simpleRNN:()=>OG,simpleRNNCell:()=>LG,softmax:()=>KU,spatialDropout1d:()=>lG,stackedRNNCells:()=>VG,thresholdedReLU:()=>XU,timeDistributed:()=>GG,upSampling2d:()=>aG,zeroPadding2d:()=>IG});async function jr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sX(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Gt(t[n])}))}},nN=class extends dl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew aN(n,t))}var Na=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),Na.checkForDuplicate(t),Na.constructors[e]==null&&(Na.constructors[e]=[]),Na.constructors[e].push(t)}static checkForDuplicate(e){for(let t in Na.constructors)Na.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){Na.constructors={}}static createCallbacks(e){let t=[];for(let n in Na.constructors){let a=+n;e>=a&&t.push(...Na.constructors[a])}return t.map(n=>new n)}};Na.constructors={};function sN(e,t,n,a,r,s,i,o,l){let u=new nN,p=[new DV,...Na.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new tN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ga(e,t={},n=!1){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function _h(e,t){return P(()=>{e.dtype!=="float32"&&(e=ie(e,"float32"));let n=fe(Vc(e),t,!0),a=bn(n.shape,qt()),r=pn(dr(n,a));return he(e,r)})}function ko(e,t){return P(()=>Ct(Vc(pe(t,e)),-1))}function bf(e,t){return P(()=>Ct(Lt(pe(t,e)),-1))}function Fu(e,t){return P(()=>{let n=pe(e,t),a=tn(Lt(e),qt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Ct(r,-1))})}function MV(e,t){return P(()=>{let n=tn(t,qt(),Number.MAX_VALUE),a=Qn(X(1,n)),r=tn(e,qt(),Number.MAX_VALUE),s=Qn(X(1,r));return Ct(Vc(pe(a,s)),-1)})}function PV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Ct(Vc(n),-1)})}function OV(e,t){return P(()=>{let n=dr(0,pe(1,z(e,t)));return Ct(n,-1)})}function LV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ha(z(pe(1,e),t),-1);return dr(0,X(1,pe(a,n)))})}function zV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(X(a,yo(z(-2,a))),n);return Ct(r,-1)})}function Kp(e,t,n=!1){return P(()=>{if(n)t=Xa(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=tn(t,qt(),1-qt()),bt(fe(z(ie(e,"float32"),Qn(t)),t.shape.length-1))})}function Eh(e,t,n=!1){return P(()=>{let a=ie(Nu(j4(e)),"int32");t=tn(t,qt(),1-qt());let r=t.shape,s=W(sl(a,r[r.length-1]),r);return Kp(s,t,n)})}function WV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Ke(t),a=bt(Lt(t));return X(pe(n,z(t,e)),$c(yn(a)))})}function xf(e,t){return P(()=>{let n;return n=tn(t,qt(),1-qt()),n=Qn(he(n,pe(1,n))),Ct(WV(e,n),-1)})}function BV(e,t){return P(()=>{let n=tn(e,qt(),1),a=tn(t,qt(),1);return fe(z(e,Qn(he(n,a))),-1)})}function VV(e,t){return P(()=>{let n=Qn(X(qt(),t));return Ct(pe(t,z(e,n)),-1)})}function pw(e,t){return P(()=>{let n=_h(e,-1),a=_h(t,-1),r=z(n,a);return bt(fe(r,-1))})}var Ah={meanSquaredError:ko,meanAbsoluteError:bf,meanAbsolutePercentageError:Fu,meanSquaredLogarithmicError:MV,squaredHinge:PV,hinge:OV,categoricalHinge:LV,logcosh:zV,categoricalCrossentropy:Kp,sparseCategoricalCrossentropy:Eh,binaryCrossentropy:xf,kullbackLeiblerDivergence:BV,poisson:VV,cosineProximity:pw};function pb(e){if(typeof e=="string"){if(e in Ah)return Ah[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function cw(e,t){return P(()=>{let n=z(.5,ea(t)),a=ir(Nn(t,n),e.dtype);return Ct(Jn(e,a),-1)})}function dw(e,t){return P(()=>ir(Jn(ri(e,-1),ri(t,-1)),"float32"))}function iN(e,t){return P(()=>ie(fe($a(Jn(e,1),Jn(t,1))),"float32"))}function UV(e,t){return P(()=>ie(fe($a(Jn(e,1),Jn(t,0))),"float32"))}function GV(e,t){return P(()=>ie(fe($a(Jn(e,0),Jn(t,1))),"float32"))}function oN(e,t){return P(()=>{let n=iN(e,t),a=GV(e,t),r=X(n,a);return ie(gn(Nn(r,0),he(n,r),0),"float32")})}function HV(e,t){return P(()=>{let n=iN(e,t),a=UV(e,t),r=X(n,a);return ie(gn(Nn(r,0),he(n,r),0),"float32")})}function lN(e,t){return xf(e,t)}function uN(e,t){return e.rank===t.rank&&(e=Ss(e,[e.rank-1])),t=ri(t,-1),t.dtype!==e.dtype&&(t=ie(t,e.dtype)),ie(Jn(e,t),"float32")}var qV=ko,jV=ko,KV=bf,XV=bf,YV=Fu,ZV=Fu,hw=Kp,JV=pw,pN=Eh,$h={binaryAccuracy:cw,categoricalAccuracy:dw,precision:oN,categoricalCrossentropy:hw,sparseCategoricalCrossentropy:pN,mse:qV,MSE:jV,mae:KV,MAE:XV,mape:YV,MAPE:ZV,cosine:JV};function QV(e){if(typeof e=="string"&&e in $h)return $h[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function Xd(e){if(nr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Ah))if(Ah[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys($h))if($h[n]===e){t=n;break}return t!==void 0?t:e.name}}function eU(e){let t={Adagrad:()=>Us.adagrad(.01),Adadelta:()=>Us.adadelta(1,.95,qt()),Adam:()=>Us.adam(.001,.9,.999,qt()),Adamax:()=>Us.adamax(.002,.9,.999,qt(),0),RMSProp:()=>Us.rmsprop(.001,.9,0,qt()),SGD:()=>Us.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function mk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!zb(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function zb(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!zb(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!zb(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function tU(e,t,n,a=console.log){let r=aU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),Fh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Fh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function rU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];Fh(o,t,n)}function sU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cy.name)}`);ts(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(y=>y.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let y of this.outputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;this.outputLayers.push(b),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let y of this.inputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;nr(x===0,"input layer has >1 nodes"),nr(w===0,"input layer has >1 tensors"),this.inputLayers.push(b),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let y=0;yy.shape),this.internalOutputShapes=this.outputs.map(y=>y.shape);let t={},n={},a={},r={},s={},i=[],o=(y,b,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=y.sourceLayer,I=y.nodeIndex,T=y.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Ba(`The tensor ${y.name} at layer "${w.name}" is part of a cycle.`);if(b.indexOf(C)!==-1)return;this.containerNodes.add(er.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let $=0;$=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let y of this.outputs)o(y,l,u);let p=i.slice().reverse();for(let y of p){n[y.id]=y,y.id in t||(t[y.id]=0);let b=t[y.id],x=a[y.outboundLayer.id]==null?0:a[y.outboundLayer.id];b=Math.max(b,x),a[y.outboundLayer.id]=b,r[y.outboundLayer.id]=y.outboundLayer,t[y.id]=b;for(let w=0;wparseInt(y,10)).sort(qd);this.layers=[];for(let y of h){let b=c[y];b.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of b)x instanceof er&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(y=>parseInt(y,10)).sort(qd);let m=this.inputs.slice(),f=[];for(let y of h)for(let b of d[y]){let x=b.outboundLayer;if(x!=null){for(let w of b.inputTensors)if(m.indexOf(w)===-1)throw new Ba(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of b.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(y=>y.name);for(let y of g){let b=g.filter(x=>x===y).length;if(b!==1)throw new Ba(`The name "${y}" is used ${b} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new yf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(y=>null),outputMasks:this.outputs.map(y=>null),inputShapes:this.inputs.map(y=>y.shape),outputShapes:this.outputs.map(y=>y.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}rw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${mw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Wb(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=yt(e);let n=new Xs;for(let a=0;a{e=yt(e);let n;return t==null?n=pi(null,e.length):n=yt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Sh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(qd);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(qd);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,y,b;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),y=yt(p.call(x,m)),b=yt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),y=yt(p.call(f,m)),b=yt(p.computeMask(f,g));if(p.activityRegularizer)throw new Pe("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(y),b)}function l(f){let g=f.name,y=Ga(f,t.customObjects!=null?t.customObjects:{});y.setFastWeightInitDuringBuild(a),r[g]=y,f.inboundNodes.forEach(b=>{if(!(b instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${b}`);i(y,b)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!D4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let y=s[g.name];delete s[g.name];for(let b of y)o(g,b)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],y=f[1],b=f[2];nr(g in r);let x=r[g].inboundNodes[y].outputTensors;d.push(x[b])}let m=t.outputLayers;for(let f of m){let g=f[0],y=f[1],b=f[2];nr(g in r);let x=r[g].inboundNodes[y].outputTensors;c.push(x[b])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function iU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function dN(e,t){return iU(e,t,"classWeight")}async function hN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return sr(e);if(e.shape.length===2){if(e.shape[1]>1)return ri(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),je(i,"float32")}else return null}function oU(e,t){return z(e,t)}var lU=32;function mN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=fk("input",e.inputNames,n),i=fk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function fk(e,t,n){if(n instanceof Ne)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function uU(e){if(e.length===3)throw new Pe("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function pU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(gk(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=uU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=rN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=sN(p,d,n.epochs,null,null,cU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;gk(n.validationData)?w=yt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=yt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?lU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Pe("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=dU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=mN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fX(s[f],z(m,g))),l>0&&_e(y)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function wp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Js(a,t,n-t)):Js(e,t,n-t)}function Bb(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>Bb(n,t)):qT(e,t.dtype==="int32"?t:ie(t,"int32")))}function db(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}function fN(e){let t=[];e instanceof Ne&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Ne)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function mU(e){return e instanceof Ne}function Vb(e){return Array.isArray(e)}function yk(e){return!mU(e)&&!Vb(e)}function bk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Vb(e)&&e.length>0)i=!0;else if(yk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(yk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Vb(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=fN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function fU(e,t,n){let a=ts(e.map(s=>s.shape[0]));a.sort();let r=ts(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function gU(e,t,n){let a=[ko,xf,Kp];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var bU="layers-model",_r=class extends er{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");tU(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=eU(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Rr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(pb(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>pb(s))}else{let s=pb(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=yU(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Zs("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===xf?["accuracy","acc"].indexOf(c)!==-1?p=cw:["crossentropy","ce"].indexOf(c)!==-1&&(p=lN):this.lossFunctions[s]===Eh?["accuracy","acc"].indexOf(c)!==-1?p=uN:["crossentropy","ce"].indexOf(c)!==-1&&(p=pN):["accuracy","acc"].indexOf(c)!==-1?p=dw:["crossentropy","ce"].indexOf(c)!==-1&&(p=hw);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=QV(c),u=l+Xd(c);let h;Zs(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;cb(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{za(s[0],e),za(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),hU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Xs;if(e instanceof Ne&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Pe("Verbose predictLoop() is not implemented yet.");let r=db(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=wp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=fN(e);xk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return cb(a),this.predictLoop(n,a)}finally{za(n,e)}}predictOnBatch(e){xk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Ba("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=dN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Pe("Verbose mode is not implemented yet.");if(r!=null)throw new Pe("steps mode in testLoop() is not implemented yet");{let o=db(s,n),l=je(qa(0,s));for(let u=0;u1){let s=rk(e.slice(0,n),a);r+=`_${s}`}t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=X(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;l0){if(f=!0,n.validationData.length===2)o=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new Pe("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let C=!0,E=await this.standardizeUserData(o,l,null,null,C,c);u=E[0],p=E[1],g=u.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){f=!0;let C=Math.floor(a[0].shape[0]*(1-n.validationSplit)),E=a[0].shape[0];u=wp(a,C,E),s=a,a=wp(a,0,C),p=wp(r,C,E),i=r,r=wp(r,0,C),g=u.concat(p)}else n.validationSteps!=null&&(f=!0);let y=a.concat(r).concat(d);this.checkTrainableWeightsConsistency();let b=this.makeTrainFunction(),x=this.getDedupedMetricsNames(),w,I;f?(this.makeTestFunction(),w=this.testFunction,I=x.slice().concat(x.map(C=>"val_"+C))):(w=null,g=[],I=x.slice());let T=rN(n.callbacks,n.yieldEvery);return await this.fitLoop(b,y,x,c,n.epochs,n.verbose,T,w,g,n.shuffle,I,n.initialEpoch,null,null)}finally{this.isTraining=!1,za(a,e),za(r,t),za(s,e),za(i,t),za(u,o),za(p,l),d!=null&&_e(d)}}async fitLoop(e,t,n,a,r,s,i,o,l,u,p,d,c,h){a==null&&(a=32),r==null&&(r=1),u==null&&(u=!0),d==null&&(d=0);let m=!1;if(o!=null&&l!=null&&(m=!0),h!=null&&(m=!0,c==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let f=this.checkNumSamples(t,a,c,"steps_per_epoch"),g;f!=null&&(g=qa(0,f)),s==null&&(s=1);let{callbackList:y,history:b}=sN(i,s,r,d,f,c,a,m,p);y.setModel(this),this.history=b,await y.onTrainBegin(),this.stopTraining_=!1;for(let x=d;x{let $=T[C][0],R=T[C][1],F=Js(I,$,R-$);E.batch=C,E.size=R-$;let S=Bb(t,F),M=e(S);for(let B=0;BIr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Ir(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Ir(Xd(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Ir(Xd(e)));{let e={};for(let t in this.metrics)e[t]=Ir(Xd(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=Xp(e.optimizer_config),n=Ga(t),a;if(typeof e.loss=="string")a=qs(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>qs(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=qs(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>qs(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=qs(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ht.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ht.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:bU,generatedBy:`TensorFlow.js tfjs-layers v${mw}`,convertedBy:null};if(t!=null&&t.includeOptimizer&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ht.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ht.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(mk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){mk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};_r.className="Model";ne.registerClass(_r);var gN=class extends _r{};gN.className="Functional";ne.registerClass(gN);async function xU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=Xp(n),r=Ga(a,t);if(e.weightsManifest!=null){let s=await Ht.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function vU(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ht.getLoadHandlers(e,t);if(n.length===0)n.push(Ht.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return wU(e,void 0,t)}async function wU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ga(Xp(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=kU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function kU(e,t){let n=Ht.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var hl=class extends _r{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:lf("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof hl||e instanceof _r,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=YT({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=XT(this.outputs[0])}this.inboundNodes=[],new yf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pi(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(Je(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new _r({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof hl))throw new Pe(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ga(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};hl.className="Sequential";ne.registerClass(hl);function IU(e){return new _r(e)}function SU(e){return new hl(e)}function yN(e){return YT(e)}function TU(e,t){Na.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},bN=class extends Un{apply(e,t=1){return X4(e,t)}};bN.className="elu";ne.registerClass(bN);var xN=class extends Un{apply(e){return jm(e)}};xN.className="selu";ne.registerClass(xN);var vN=class extends Un{apply(e){return Ke(e)}};vN.className="relu";ne.registerClass(vN);var wN=class extends Un{apply(e){return P(()=>_u(6,Ke(e)))}};wN.className="relu6";ne.registerClass(wN);var kN=class extends Un{apply(e){return e}};kN.className="linear";ne.registerClass(kN);var IN=class extends Un{apply(e){return da(e)}};IN.className="sigmoid";ne.registerClass(IN);var SN=class extends Un{apply(e){return Z4(e)}};SN.className="hardSigmoid";ne.registerClass(SN);var TN=class extends Un{apply(e){return yo(e)}};TN.className="softplus";ne.registerClass(TN);var NN=class extends Un{apply(e){return Y4(e)}};NN.className="softsign";ne.registerClass(NN);var CN=class extends Un{apply(e){return ii(e)}};CN.className="tanh";ne.registerClass(CN);var fw=class extends Un{apply(e,t=-1){return Xa(e,t)}};fw.className="softmax";ne.registerClass(fw);var _N=class extends Un{apply(e,t=-1){return zm(e,t)}};_N.className="logSoftmax";ne.registerClass(_N);var EN=class extends Un{apply(e,t=1){return P(()=>z(da(z(e,t)),e))}};EN.className="swish";ne.registerClass(EN);var AN=class extends Un{apply(e){return P(()=>z(e,ii(yo(e))))}};AN.className="mish";ne.registerClass(AN);function ls(e){return e.getClassName()}function hb(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function us(e){if(e==null){let t={};return t.className="linear",t.config={},hb(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},hb(t)}else return e instanceof Un?e:hb(e)}function gw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var $N=class extends ne.Serializable{},Hc=class extends $N{constructor(e){super(),gw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=X(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=X(t,fe(z(this.l2,Vc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Hc.className="L1L2";ne.registerClass(Hc);function NU(e){return gw(e),new Hc({l1:e!=null?e.l1:null,l2:0})}function CU(e){return gw(e),new Hc({l2:e!=null?e.l2:null,l1:0})}var vk={l1l2:"L1L2"};function ct(e){return Kv(e)}function wk(e,t={}){return Wc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in vk?vk[e]:e,config:{}};return wk(t)}else return e instanceof $N?e:wk(e)}var yw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ce(e);let n=Ke(e);return this.maxValue!=null&&(n=tn(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};yw.className="ReLU";ne.registerClass(yw);var bw=class extends Ue{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ce(e);return Ac(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};bw.className="LeakyReLU";ne.registerClass(bw);var xw=class extends Ue{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Yt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=Je(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function FN(e,t){return P(()=>(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function _U(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Pe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=Fm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Ya(o,n)),o})}function kk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=Iw(e,s);if(r==="causal")throw new Pe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=ul.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function EU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=FN(e,s);if(r==="causal")throw new Pe("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=Xx(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Ya(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var Sw=class extends Ue{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Sw.verifyArgs(t),this.rank=e,en(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Pe(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=tl(t.kernelSize,e,"kernelSize"),this.strides=tl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,xa(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Mt(this.dataFormat),this.activation=us(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Yt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=tl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(nr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ls(this.activation),useBias:this.useBias,biasInitializer:_t(this.biasInitializer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},qc=class extends Sw{constructor(e,t){super(e,t),this.kernel=null,qc.verifyArgs(t),this.filters=t.filters,en(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Yt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n,a=this.bias==null?null:this.bias.read(),r=WT(this.activation.getClassName());if(r!=null&&this.rank===2)n=kk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=_U(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=kk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=EU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Pe("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=Je(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},jc=class extends qc{constructor(e){super(2,e),jc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};jc.className="Conv2D";ne.registerClass(jc);var Kc=class extends qc{constructor(e){super(3,e),Kc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};Kc.className="Conv3D";ne.registerClass(Kc);var Tw=class extends jc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=ar(o,d,u,this.padding),m=ar(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Rm(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Ya(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=ar(t[a],o,s,this.padding),t[r]=ar(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Tw.className="Conv2DTranspose";ne.registerClass(Tw);var Nw=class extends Kc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],y=ar(l,m,d,this.padding),b=ar(u,f,c,this.padding),x=ar(p,g,h,this.padding),w=[r,y,b,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=Yx(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Ya(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=ar(t[a],u,i,this.padding),t[r]=ar(t[r],p,o,this.padding),t[s]=ar(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Nw.className="Conv3DTranspose";ne.registerClass(Nw);var RN=class extends qc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Yt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Yt(t.pointwiseConstraint)}build(e){if(e=Je(e),e.length{e=Ce(e);let n;if(this.rank===1)throw new Pe("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=Is(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.pointwiseInitializer=_t(this.pointwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.pointwiseRegularizer=ct(this.pointwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseConstraint),e.pointwiseConstraint=Xt(this.pointwiseConstraint),e}};RN.className="SeparableConv";var Cw=class extends RN{constructor(e){super(2,e)}};Cw.className="SeparableConv2D";ne.registerClass(Cw);var vf=class extends qc{constructor(e){super(1,e),vf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!Xv(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};vf.className="Conv1D";ne.registerClass(vf);var _w=class extends Ue{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ce(e),this.dataFormat==="channelsLast"){let n=Kd(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Kd(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Kd(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Kd(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};_w.className="Cropping2D";ne.registerClass(_w);var Ew=class extends Ue{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,V4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ce(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?Ea.resizeNearestNeighbor(n,[r,s]):Ea.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?Ea.resizeNearestNeighbor(n,[r,s]):Ea.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Ew.className="UpSampling2D";ne.registerClass(Ew);function AU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Mt(r);let i=Iw(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=ws(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Aw=class extends Sw{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Yt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=Je(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n=AU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ha(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ha(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseRegularizer),e}};Aw.className="DepthwiseConv2D";ne.registerClass(Aw);function DN(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function MN(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(qa(2,l));if(t=Ee(t,u),s!=null)throw new Pe("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=ie(ie(r,"bool"),"float32"),r.rank===l-1&&(r=Qt(r,-1)),r=Ee(r,u)),a&&(t=ga(t,0),r!=null&&(r=ga(r,0)));let p=[],d,c=n,h=t.shape[0],m=lt(t),f;r!=null&&(f=lt(r));for(let y=0;ye(b,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[y],T=pe(ea(I),I),C=X(z(x[0],I),z(c[0],T)),E=c.map(($,R)=>X(z(x[1][R],I),z($,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var mr=class extends Ue{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new If({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return qa(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Ob(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aGt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=DN(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Va){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ce(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=MN((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=Bc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Mb(t,[1,n]):t):this.cell.stateSize>1?[Mb(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===mr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ga(a,n);return new e(Object.assign(t,{cell:r}))}};mr.className="RNN";ne.registerClass(mr);var Xc=class extends Ue{},wf=class extends Xc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=us(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ea(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ea(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=or(z(e,s),this.kernel.read()):r=or(e,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),i!=null&&(n=z(n,i));let o=X(r,or(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),recurrentInitializer:_t(this.recurrentInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),recurrentRegularizer:ct(this.recurrentRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),recurrentConstraint:Xt(this.recurrentConstraint),biasConstraint:Xt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};wf.className="SimpleRNNCell";ne.registerClass(wf);var $w=class extends mr{constructor(e){e.cell=new wf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};$w.className="SimpleRNN";ne.registerClass($w);var kf=class extends Xc{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,en(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ea(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Fw.className="GRU";ne.registerClass(Fw);var Yc=class extends Xc{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=us(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=us(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=cl([1,os([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=cl([1,os([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=Je(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Da{apply(i,o){let l=r.apply([s]),u=new pf().apply([s]),p=r.apply([s*2]);return ik(ik(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ea(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ea(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Rw.className="LSTM";ne.registerClass(Rw);var If=class extends Xc{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Zs(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ga(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return Lb(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):jT(t(),n),o=()=>Uc(i,t,a);return!r||r<=1?Gt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Gt(l.clone()))}var $U=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new kr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sGt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ha(l,a[0],r,s[0],i[0]),d=Ha(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};PN.className="ConvRNN2D";var Sf=class extends Yc{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,en(this.filters,"filters"),this.kernelSize=tl(n,2,"kernelSize"),this.kernelSize.forEach(o=>en(o,"kernelSize")),this.strides=tl(a||1,2,"strides"),this.strides.forEach(o=>en(o,"strides")),this.padding=r||"valid",xa(this.padding),this.dataFormat=s||"channelsLast",Mt(this.dataFormat),this.dilationRate=tl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>en(o,"dilationRate"))}build(e){var t;e=Je(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Da{apply(p,d){let c=l.apply([u]),h=Zn([u]),m=l.apply([u*2]);return Yv([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ea(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,J,ee)=>!J||!J[ee]?Z:z(J[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ea(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),y=l(r,h,3),b=3,[x,w,I,T]=zn(this.kernel.read(),i,b),[C,E,$,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,$,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,b);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),y=this.recurrentConv(y,B);let U=this.recurrentActivation.apply(X(u,m)),G=this.recurrentActivation.apply(X(p,f)),j=X(z(G,s),z(U,this.activation.apply(X(d,g)))),K=z(this.recurrentActivation.apply(X(c,y)),this.activation.apply(j));return[K,K,j]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=$U(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=Rt(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Ya(r,n,this.dataFormat):r}recurrentConv(e,t){return Rt(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Sf.className="ConvLSTM2DCell";ne.registerClass(Sf);var Dw=class extends PN{constructor(e){let t=new Sf(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Dw.className="ConvLSTM2D";ne.registerClass(Dw);var Tf=class extends Ue{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);if(0jT(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Tf.className="Dropout";ne.registerClass(Tf);var Mw=class extends Tf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Mw.className="SpatialDropout1D";ne.registerClass(Mw);var Pw=class extends Ue{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,en(this.units,"units"),this.activation=us(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Yt(e.kernelConstraint),this.biasConstraint=Yt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=Je(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=Je(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=WT(this.activation.getClassName()),r;return a!=null?r=or(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=or(n,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:ls(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="Dense";ne.registerClass(Pw);var Ow=class extends Ue{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=Je(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],ns(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ce(e);return this.activation.apply(n)})}getConfig(){let e={activation:ls(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Lw.className="Activation";ne.registerClass(Lw);var zw=class extends Ue{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ce(e),q4(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};zw.className="RepeatVector";ne.registerClass(zw);var Ww=class extends Ue{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ce(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Ww.className="Reshape";ne.registerClass(Ww);var Bw=class extends Ue{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=qa(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=Je(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ce(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Bw.className="Permute";ne.registerClass(Bw);var Vw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ce(e),a=-1;return Gp(li(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=-1,r=!0,s=Gp(li(n,this.maskValue),a,r);return z(n,ie(s,n.dtype))})}};Vw.className="Masking";ne.registerClass(Vw);var Uw=class extends Ue{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(yt(e.inputLength))}this.inputDim=e.inputDim,en(this.inputDim,"inputDim"),this.outputDim=e.outputDim,en(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Yt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ce(e),li(e,qe(e))):null)}computeOutputShape(e){if(e=Je(e),this.inputLength==null)return[...e,this.outputDim];let t=yt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);n.dtype!=="int32"&&(n=ir(n,"int32"));let a=qT(this.embeddings.read(),W(n,[n.size]));return W(a,Je(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:_t(this.embeddingsInitializer),embeddingsRegularizer:ct(this.embeddingsRegularizer),activityRegularizer:ct(this.activityRegularizer),embeddingsConstraint:Xt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Uw.className="Embedding";ne.registerClass(Uw);var Io=class extends Ue{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Pe}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&ts(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=os(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=qa(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(qa(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Qt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>Yv(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Pe("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Pe("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Pe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>kp(r,e[s].shape.length)):a=[kp(this.axes,t.shape.length),kp(this.axes,n.shape.length)],this.normalize&&(t=_h(t,a[0]),n=_h(n,a[1])),FU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[kp(this.axes,e.length),kp(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Pe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};Yw.className="Dot";ne.registerClass(Yw);var Zw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return Uc(()=>X(uf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};Zw.className="GaussianNoise";ne.registerClass(Zw);var Jw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return this.rate>0&&this.rate<1?Uc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,uf(n.shape,1,a))},()=>n,t.training||!1):n})}};Jw.className="GaussianDropout";ne.registerClass(Jw);var Qw=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ce(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Uc(()=>{let a=Ce(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=$r(Eu(n),this.rate);o=ir(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=X(z(a,o),z(X(o,-1),i));return X(z(p,l),u)},()=>Ce(e),t.training||!1)}return e})}};Qw.className="AlphaDropout";ne.registerClass(Qw);function Yp(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=zx(e,t,n,a,r,s);else if(e.rank===3)i=Wx(e,t,n,a,r,s);else if(e.rank===4)i=Bx(e,t,n,a,r,s);else throw new Pe(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function RU(e,t,n,a,r=.001){return P(()=>{let s=Rc(e,a),i=s.mean,o=s.variance;return[Yp(e,i,o,n,t,r),i,o]})}function DU(e,t,n,a,r=.001){return P(()=>{let s=Rc(e,a),i=s.mean,o=s.variance,l=[];for(let h of qa(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[Yp(e,u,p,c,d,r),i,o]})}function MU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),qa(0,e.rank-1))?RU(e,t,n,a,r):DU(e,t,n,a,r)}var e0=class extends Ue{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Yt(e.betaConstraint),this.gammaConstraint=Yt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=Je(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ce(e),r=a.shape,s=r.length,i=qa(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=pi(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,qa(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),y=W(this.movingVariance.read(),l),b=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return Yp(a,g,y,b,x,this.epsilon)}else return Yp(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=MU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,y,b)=>{P(()=>{let x=1-b,w=g.read(),I=z(pe(w,y),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:_t(this.betaInitializer),gammaInitializer:_t(this.gammaInitializer),movingMeanInitializer:_t(this.movingMeanInitializer),movingVarianceInitializer:_t(this.movingVarianceInitializer),betaRegularizer:ct(this.betaRegularizer),gammaRegularizer:ct(this.gammaRegularizer),betaConstraint:Xt(this.betaConstraint),gammaConstraint:Xt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};e0.className="BatchNormalization";ne.registerClass(e0);var t0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=Je(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==ts(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ce(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=Rc(n,this.axis,!0),o=pi(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],ba(e,a)})}var n0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>PU(Ce(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};n0.className="ZeroPadding2D";ne.registerClass(n0);function Nf(e,t,n,a,r,s){return P(()=>{Mt(r),VT(s),xa(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=Iw(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ya(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function ON(e,t,n,a,r,s){return P(()=>{Mt(r),VT(s),xa(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=FN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=dv(e,t,n,o):i=Lx(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var LN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(en(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,xa(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=Je(e);let t=Ha(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=Bc(Ce(e),2);let n=this.poolingFunction(Ce(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Ss(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},a0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"max")}};a0.className="MaxPooling1D";ne.registerClass(a0);var r0=class extends LN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"avg")}};r0.className="AveragePooling1D";ne.registerClass(r0);var zN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},s0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"max")}};s0.className="MaxPooling2D";ne.registerClass(s0);var i0=class extends zN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),Nf(e,t,n,a,r,"avg")}};i0.className="AveragePooling2D";ne.registerClass(i0);var WN=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),xa(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),a=Ha(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},o0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),ON(e,t,n,a,r,"max")}};o0.className="MaxPooling3D";ne.registerClass(o0);var l0=class extends WN{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),xa(a),ON(e,t,n,a,r,"avg")}};l0.className="AveragePooling3D";ne.registerClass(l0);var BN=class extends Ue{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Pe}},u0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return Ct(n,1)})}};u0.className="GlobalAveragePooling1D";ne.registerClass(u0);var p0=class extends BN{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return ha(n,1)})}};p0.className="GlobalMaxPooling1D";ne.registerClass(p0);var VN=class extends Ue{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Pe}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},c0=class extends VN{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?Ct(n,[1,2]):Ct(n,[2,3])})}};c0.className="GlobalAveragePooling2D";ne.registerClass(c0);var d0=class extends VN{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?ha(n,[1,2]):ha(n,[2,3])})}};d0.className="GlobalMaxPooling2D";ne.registerClass(d0);var UN=class extends Ue{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ga(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},h0=class extends UN{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=Je(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=Je(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ce(e),MN((n,a)=>[Ce(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};h0.className="TimeDistributed";ne.registerClass(h0);function OU(e){wo(B4,"BidirectionalMergeMode",e)}var LU="concat",m0=class extends UN{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ga(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ga(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?LU:e.mergeMode,OU(this.mergeMode),e.weights)throw new Pe("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=DN(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Pe("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Va;for(let l of s)if(l instanceof Va!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ga(r,1));let i;return this.mergeMode==="concat"?i=Yv([a,r]):this.mergeMode==="sum"?i=X(a,r):this.mergeMode==="ave"?i=z(.5,X(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Zs(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Zs(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ga(t.layer);if(delete t.layer,t.numConstants!=null)throw new Pe("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};m0.className="Bidirectional";ne.registerClass(m0);var f0=class extends Ue{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ce(e),e.dtype!=="float32"&&(e=ir(e,"float32")),X(z(e,this.scale),this.offset)))}};f0.className="Rescaling";ne.registerClass(f0);var{resizeBilinear:zU,cropAndResize:WU}=Ea,g0=class extends Ue{constructor(e){super(e),this.height=e.height,this.width=e.width}centerCrop(e,t,n,a,r,s,i,o){return P(()=>{let l,u=!1,p=t/s,d=n/i,c=(a+t)/s,h=(r+n)/i,m=[p,d,c,h],f=[];e.rank===3?(u=!0,l=Ft([e])):l=e;for(let x=0;x{let r=zU(e,[t,n]);return ir(r,a)})}call(e,t){return P(()=>{let n=Ce(e),a=n.dtype,r=n.shape,s=r[r.length-3],i=r[r.length-2],o=0;s!==this.height&&(o=Math.floor((s-this.height)/2));let l=0;return i!==this.width&&(l=Math.floor((i-this.width)/2),l===0&&(l=1)),o>=0&&l>=0?this.centerCrop(n,o,l,this.height,this.width,s,i,a):this.upsize(e,this.height,this.width,a)})}getConfig(){let e={height:this.height,width:this.width},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){e=Je(e);let t=e.length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}};g0.className="CenterCrop";ne.registerClass(g0);function BU(e,t,n,a){let r=Ce(e);if(r.dtype!=="int32"&&(r=ir(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Qt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Qt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=Ih(o,a,n,i):l=Ih(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var y0=class extends Ue{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=Je(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ce(e),e.dtype!=="int32"&&(e=ir(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. + Received countWeights=${t.countWeights}`);n=Ce(t.countWeights)}let a=ha(e),r=rl(e),s=Nn(this.numTokens,a).bufferSync().get(0),i=$r(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return BU(e,this.outputMode,this.numTokens,n)})}};y0.className="CategoryEncoding";ne.registerClass(y0);var VU=["bilinear","nearest"],Ik=new Set(VU),b0=class extends Ue{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(Ik.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Je(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return Ea.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return Ea.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Ik]} are supported`)})}};b0.className="Resizing";ne.registerClass(b0);function UU(e){return new $u(e)}function GU(e){return new vw(e)}function HU(e){return new yw(e)}function qU(e){return new bw(e)}function jU(e){return new xw(e)}function KU(e){return new kw(e)}function XU(e){return new ww(e)}function YU(e){return new vf(e)}function ZU(e){return new jc(e)}function JU(e){return new Tw(e)}function QU(e){return new Kc(e)}function eG(e){return new Nw(e)}function tG(e){return new Cw(e)}function nG(e){return new _w(e)}function aG(e){return new Ew(e)}function rG(e){return new Aw(e)}function sG(e){return new Lw(e)}function iG(e){return new Pw(e)}function oG(e){return new Tf(e)}function lG(e){return new Mw(e)}function uG(e){return new Ow(e)}function pG(e){return new zw(e)}function cG(e){return new Ww(e)}function dG(e){return new Bw(e)}function hG(e){return new Uw(e)}function mG(e){return new Gw(e)}function fG(e){return new qw(e)}function gG(e){return new Xw(e)}function yG(e){return new jw(e)}function bG(e){return new Kw(e)}function xG(e){return new Hw(e)}function vG(e){return new Yw(e)}function wG(e){return new e0(e)}function kG(e){return new t0(e)}function IG(e){return new n0(e)}function x0(e){return new r0(e)}function SG(e){return x0(e)}function TG(e){return x0(e)}function v0(e){return new i0(e)}function NG(e){return v0(e)}function CG(e){return v0(e)}function w0(e){return new l0(e)}function _G(e){return w0(e)}function EG(e){return w0(e)}function AG(e){return new u0(e)}function $G(e){return new c0(e)}function GN(e){return new p0(e)}function HN(e){return new d0(e)}function qN(e){return new a0(e)}function jN(e){return new s0(e)}function FG(e){return new o0(e)}function RG(e){return new Fw(e)}function DG(e){return new kf(e)}function MG(e){return new Rw(e)}function PG(e){return new Yc(e)}function OG(e){return new $w(e)}function LG(e){return new wf(e)}function zG(e){return new Dw(e)}function WG(e){return new Sf(e)}function BG(e){return new mr(e)}function VG(e){return new If(e)}function UG(e){return new m0(e)}function GG(e){return new h0(e)}var HG=GN,qG=HN,jG=qN,KG=jN;function XG(e){return new Zw(e)}function YG(e){return new Jw(e)}function ZG(e){return new Qw(e)}function JG(e){return new Vw(e)}function QG(e){return new f0(e)}function eH(e){return new g0(e)}function tH(e){return new b0(e)}function nH(e){return new y0(e)}var KN={};Ae(KN,{MAPE:()=>hH,MSE:()=>gH,binaryAccuracy:()=>aH,binaryCrossentropy:()=>rH,categoricalAccuracy:()=>iH,categoricalCrossentropy:()=>oH,cosineProximity:()=>pH,mape:()=>mH,meanAbsoluteError:()=>cH,meanAbsolutePercentageError:()=>dH,meanSquaredError:()=>fH,mse:()=>yH,precision:()=>lH,recall:()=>uH,sparseCategoricalAccuracy:()=>sH});function aH(e,t){return cw(e,t)}function rH(e,t){return lN(e,t)}function sH(e,t){return uN(e,t)}function iH(e,t){return dw(e,t)}function oH(e,t){return hw(e,t)}function lH(e,t){return oN(e,t)}function uH(e,t){return HV(e,t)}function pH(e,t){return pw(e,t)}function cH(e,t){return bf(e,t)}function dH(e,t){return Fu(e,t)}function hH(e,t){return Fu(e,t)}function mH(e,t){return Fu(e,t)}function fH(e,t){return ko(e,t)}function gH(e,t){return ko(e,t)}function yH(e,t){return ko(e,t)}var XN={};Ae(XN,{modelFromJSON:()=>xU});var YN={};Ae(YN,{l1:()=>xH,l1l2:()=>bH,l2:()=>vH});function bH(e){return new Hc(e)}function xH(e){return NU(e)}function vH(e){return CU(e)}var ZN=class extends dl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof _r))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function Yd(e,t){return et}var JN=class extends ZN{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Pe("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Yd:this.mode==="max"?this.monitorFunc=Sk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Sk:this.monitorFunc=Yd,this.monitorFunc===Yd&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Yd?1/0:-1/0}async onEpochEnd(e,t){await jr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function wH(e){return new JN(e)}var kH={earlyStopping:wH},IH=H();IH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ta;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ta||(Ta={}));var Tk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(Tk||(Tk={}));var k0={};function SH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};k0[e]=n}function QN(e){return k0[e]}function TH(e){delete k0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return wn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>wn(d,n,a,r));let u=wn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function wn(e,t,n,a){let[r,s]=Xn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Rh(r,o)]);return i!==void 0?t[Rh(r,i)][s]:void 0}function NH(e,t,n){return t[Rh(e,n.currentContextId)]}function Sr(e,t){let[n,a,r]=Xn(e);return[Rh(n,t&&t.currentContextId),a,r]}function Rh(e,t){return t?`${e}-${t}`:e}function Xn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function sh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function Tr(e){return e.kept?e:sr(e)}var e2={};Ae(e2,{json:()=>CH});var CH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],t2={};Ae(t2,{json:()=>_H});var _H=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],n2={};Ae(n2,{json:()=>EH});var EH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],a2={};Ae(a2,{json:()=>AH});var AH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],r2={};Ae(r2,{json:()=>$H});var $H=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],s2={};Ae(s2,{json:()=>FH});var FH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],i2={};Ae(i2,{json:()=>RH});var RH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],o2={};Ae(o2,{json:()=>DH});var DH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],l2={};Ae(l2,{json:()=>MH});var MH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],u2={};Ae(u2,{json:()=>PH});var PH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],p2={};Ae(p2,{json:()=>OH});var OH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],c2={};Ae(c2,{json:()=>LH});var LH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],d2={};Ae(d2,{json:()=>zH});var zH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],h2={};Ae(h2,{json:()=>WH});var WH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],m2={};Ae(m2,{json:()=>BH});var BH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],f2={};Ae(f2,{json:()=>VH});var VH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],g2={};Ae(g2,{json:()=>UH});var UH=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],y2={};Ae(y2,{json:()=>GH});var GH=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],b2={};Ae(b2,{json:()=>HH});var HH=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Nk=class{constructor(){let e=[e2,t2,n2,a2,r2,s2,i2,o2,l2,u2,p2,c2,d2,h2,m2,f2,g2,y2,b2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,y)=>{let[b,,x]=Sr(g),w=i[b];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${b}:${I}`;f.inputNames[y]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=Sr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=Sr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=QN(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Ub(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Ub(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=Yb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Yb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Hb(e.attr,r.tfName,r.defaultValue||0),i===void 0&&r.tfDeprecatedName&&(i=Hb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=Xb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Xb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Gb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Gb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=Jb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=Kb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Kb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=Zb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Zb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=qb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=qb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=jb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Ck(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Ck(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=Sr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:I0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=Sr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let y=`${h}:${g}`;p.inputNames[c]=y}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=Sr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function qH(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function x2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):qH(e);return t?n:n.toLowerCase()}function Ub(e,t,n,a=!1){let r=e[t];return r!=null?x2(r.s,a):n}function Gb(e,t,n){let a=e[t];return a?a.b:n}function Hb(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function I0(e){switch(typeof e=="string"&&(e=Ta[e]),e){case Ta.DT_FLOAT:case Ta.DT_HALF:return"float32";case Ta.DT_INT32:case Ta.DT_INT64:case Ta.DT_INT8:case Ta.DT_UINT8:return"int32";case Ta.DT_BOOL:return"bool";case Ta.DT_DOUBLE:return"float32";case Ta.DT_STRING:return"string";default:return null}}function Ck(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function qb(e,t,n){let a=e[t];return a&&a.type?I0(a.type):n}function jb(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>I0(r)):n}function v2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Kb(e,t,n){let a=e[t];return a&&a.shape?v2(a.shape):n}function Xb(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function Yb(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>x2(s,a)):n}function Zb(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>v2(r)):n}function Jb(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var jH=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return wn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return wn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Hb(this.node.rawAttrs,e,t);if(n.s!=null)return Ub(this.node.rawAttrs,e,t);if(n.b!=null)return Gb(this.node.rawAttrs,e,t);if(n.shape!=null)return Kb(this.node.rawAttrs,e,t);if(n.type!=null)return qb(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Xb(this.node.rawAttrs,e,t);if(n.list.s!=null)return Yb(this.node.rawAttrs,e,t);if(n.list.shape!=null)return Zb(this.node.rawAttrs,e,t);if(n.list.b!=null)return Jb(this.node.rawAttrs,e,t);if(n.list.type!=null)return jb(this.node.rawAttrs,e,t)}return t}},an={};Ae(an,{OP_SCOPE_SUFFIX:()=>Ix,abs:()=>Lt,acos:()=>Ex,acosh:()=>Ax,add:()=>X,addN:()=>tS,all:()=>$m,any:()=>Gp,argMax:()=>ri,argMin:()=>$x,asin:()=>Fx,asinh:()=>Rx,atan:()=>Dx,atan2:()=>Mx,atanh:()=>Px,avgPool:()=>ya,avgPool3d:()=>Lx,basicLSTMCell:()=>sS,batchNorm:()=>vs,batchNorm2d:()=>zx,batchNorm3d:()=>Wx,batchNorm4d:()=>Bx,batchToSpaceND:()=>Cc,bincount:()=>Vx,booleanMaskAsync:()=>HS,broadcastArgs:()=>iS,broadcastTo:()=>Ys,buffer:()=>Le,cast:()=>ie,ceil:()=>Ux,clipByValue:()=>tn,clone:()=>sr,complex:()=>Er,concat:()=>Ze,concat1d:()=>Gx,concat2d:()=>Hx,concat3d:()=>qx,concat4d:()=>jx,conv1d:()=>Fm,conv2d:()=>Rt,conv2dTranspose:()=>Rm,conv3d:()=>Xx,conv3dTranspose:()=>Yx,cos:()=>_c,cosh:()=>Dm,cosineWindow:()=>tf,cumprod:()=>jp,cumsum:()=>Mm,denseBincount:()=>Ih,depthToSpace:()=>Zx,depthwiseConv2d:()=>ws,diag:()=>lS,dilation2d:()=>Jx,div:()=>he,divNoNan:()=>Qx,dot:()=>ev,dropout:()=>Fv,einsum:()=>pS,elu:()=>Su,enclosingPowerOfTwo:()=>Rv,equal:()=>Jn,erf:()=>tv,euclideanNorm:()=>rv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>sv,eye:()=>Pm,fft:()=>Oc,fill:()=>bn,floor:()=>Nu,floorDiv:()=>Am,fused:()=>ul,gather:()=>Cu,gatherND:()=>YS,greater:()=>Nn,greaterEqual:()=>$r,ifft:()=>ll,imag:()=>Ec,image:()=>Ea,inTopKAsync:()=>ZS,irfft:()=>Zm,isFinite:()=>iv,isInf:()=>ov,isNaN:()=>lv,leakyRelu:()=>Ac,less:()=>Om,lessEqual:()=>ks,linalg:()=>Pv,linspace:()=>fS,localResponseNormalization:()=>uv,log:()=>Qn,log1p:()=>$c,logSigmoid:()=>pv,logSoftmax:()=>zm,logSumExp:()=>Wm,logicalAnd:()=>$a,logicalNot:()=>Fc,logicalOr:()=>Bm,logicalXor:()=>cv,losses:()=>uT,lowerBound:()=>yS,matMul:()=>Re,max:()=>ha,maxPool:()=>Dt,maxPool3d:()=>dv,maxPoolWithArgmax:()=>bS,maximum:()=>dr,mean:()=>Ct,meshgrid:()=>xS,min:()=>rl,minimum:()=>_u,mirrorPad:()=>hv,mod:()=>mv,moments:()=>Rc,movingAverage:()=>qS,mul:()=>z,multiRNNCell:()=>vS,multinomial:()=>wS,neg:()=>bt,norm:()=>Tu,notEqual:()=>li,oneHot:()=>sl,ones:()=>Zn,onesLike:()=>ea,op:()=>L,outerProduct:()=>kS,pad:()=>ba,pad1d:()=>IS,pad2d:()=>SS,pad3d:()=>TS,pad4d:()=>NS,pool:()=>fv,pow:()=>Ar,prelu:()=>Mc,print:()=>Cx,prod:()=>gv,raggedGather:()=>CS,raggedRange:()=>_S,raggedTensorToTensor:()=>ES,rand:()=>AS,randomGamma:()=>DS,randomNormal:()=>Um,randomStandardNormal:()=>MS,randomUniform:()=>Eu,range:()=>ui,real:()=>il,reciprocal:()=>wv,relu:()=>Ke,relu6:()=>Gm,reshape:()=>W,reverse:()=>ga,reverse1d:()=>PS,reverse2d:()=>OS,reverse3d:()=>LS,reverse4d:()=>zS,rfft:()=>Lc,round:()=>Hm,rsqrt:()=>qm,scalar:()=>xe,scatterND:()=>KS,searchSorted:()=>Vm,selu:()=>jm,separableConv2d:()=>Is,setdiff1dAsync:()=>WS,sigmoid:()=>da,sign:()=>kv,signal:()=>lT,sin:()=>Km,sinh:()=>Xm,slice:()=>Ve,slice1d:()=>Pc,slice2d:()=>Ym,slice3d:()=>bo,slice4d:()=>ol,softmax:()=>Xa,softplus:()=>yo,spaceToBatchND:()=>Dc,sparse:()=>pT,sparseToDense:()=>XS,spectral:()=>oT,split:()=>zn,sqrt:()=>pn,square:()=>it,squaredDifference:()=>Jm,squeeze:()=>Ss,stack:()=>Ft,step:()=>xo,stridedSlice:()=>Iv,string:()=>cT,sub:()=>pe,sum:()=>fe,tan:()=>Sv,tanh:()=>ii,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Aa,tensor3d:()=>zc,tensor4d:()=>Ra,tensor5d:()=>BS,tensor6d:()=>VS,tile:()=>Ln,topk:()=>Tv,transpose:()=>Ee,truncatedNormal:()=>Qm,unique:()=>Nv,unsortedSegmentSum:()=>ef,unstack:()=>lt,upperBound:()=>US,variable:()=>Cv,where:()=>gn,whereAsync:()=>_v,zeros:()=>It,zerosLike:()=>qe});var KH=(e,t,n,a=an)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},XH=(e,t,n,a=an)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(wn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(wn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function _a(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function _k(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ip(e,t,n){let a=Qb(e,n),r=!_k(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=Qb(s.shape,a)}),!_k(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function Qb(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var YH=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=xe(0),Gt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),_a(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Gt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,lt(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);_a(t,r.shape,"TensorList shape mismatch: "),Gt(r)}),this.idTensor=xe(0),this.maxNumElements=a,Gt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ml([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);_a(e,this.elementShape,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ip(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,_a(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(_a(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Gt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new ml([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);_a(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);_a(this.elementShape,t.shape,"TensorList shape mismatch: "),Gt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);_a(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ip(this.elementShape,this.tensors,n);return e.length===0?fn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);_a(this.elementShape,t,"TensorList shape mismatch: ");let n=Ip(this.elementShape,this.tensors,t);return this.size()===0?fn([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function ZH(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);_a(r,t,"TensorList shape mismatch: ");let s=lt(e);return new ml(s,t,a)}function JH(e,t,n,a){return new ml([],e,t,a)}function QH(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new ml([],n,e.dtype,a),i=lt(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function e6(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);_a(t,r.shape,"TensorList shape mismatch: "),Gt(r)}),this.idTensor=xe(0),this.maxNumElements=a,Gt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ml([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);_a(e,this.elementShape,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ip(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,_a(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(_a(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Gt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new ml([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);_a(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ip(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);_a(this.elementShape,t.shape,"TensorList shape mismatch: "),Gt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);_a(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ip(this.elementShape,this.tensors,n);return e.length===0?fn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);_a(this.elementShape,t,"TensorList shape mismatch: ");let n=Ip(this.elementShape,this.tensors,t);return this.size()===0?fn([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function ZH(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);_a(r,t,"TensorList shape mismatch: ");let s=lt(e);return new ml(s,t,a)}function JH(e,t,n,a){return new ml([],e,t,a)}function QH(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new ml([],n,e.dtype,a),i=lt(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function e6(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=Qb(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Tr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Tr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Tr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Tr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Tr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Tr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new YH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=QH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=JH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=ZH(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=e6(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[xe(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ek(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=sh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var n6=(e,t,n,a=an)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ek(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ek(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=sh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},a6=(e,t,n,a=an)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function mb(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var r6=async(e,t,n,a,r=an)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=mb(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=mb(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=mb(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},s6=(e,t,n,a=an)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=an)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[wn(e.name,t,n)||r];case"Placeholder":return[wn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[Tr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>Tr(p));case"Snapshot":let s=k("x",e,t,n);return[Tr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return xe(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=lt(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new o6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},u6=(e,t,n,a=an)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},p6=(e,t,n,a=an)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},c6=(e,t,n,a=an)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},d6=(e,t,n,a=an)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},h6=(e,t,n,a=an)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=a.raggedGather(k("paramsNestedSplits",e,t,n),k("paramsDenseValues",e,t,n),k("indices",e,t,n),k("outputRaggedRank",e,t,n));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=a.raggedRange(k("starts",e,t,n),k("limits",e,t,n),k("splits",e,t,n));return[r,s]}case"RaggedTensorToTensor":return[a.raggedTensorToTensor(k("shape",e,t,n),k("values",e,t,n),k("defaultValue",e,t,n),k("rowPartitionTensors",e,t,n),k("rowPartitionTypes",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},m6=(e,t,n,a=an)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},f6=(e,t,n,a=an)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},g6=(e,t,n,a=an)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},y6=(e,t,n,a=an)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},b6=(e,t,n,a=an)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},x6=(e,t,n,a=an)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ak(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>KH(i,o,l));case"basic_math":return r(()=>XH(i,o,l));case"control":return t6(i,o,l);case"convolution":return r(()=>n6(i,o,l));case"creation":return r(()=>a6(i,o,l));case"dynamic":return r6(i,o,l);case"evaluation":return r(()=>s6(i,o,l));case"image":return r(()=>u6(i,o,l));case"graph":return r(()=>i6(i,o,l));case"logical":return r(()=>p6(i,o,l));case"matrices":return r(()=>c6(i,o,l));case"normalization":return r(()=>d6(i,o,l));case"ragged":return r(()=>h6(i,o,l));case"reduction":return r(()=>m6(i,o,l));case"slice_join":return r(()=>f6(i,o,l));case"sparse":return r(()=>g6(i,o,l));case"spectral":return r(()=>y6(i,o,l));case"string":return r(()=>b6(i,o,l));case"transformation":return r(()=>x6(i,o,l));case"hash_table":return l6(i,o,l,a);case"custom":let u=QN(i.op);if(u&&u.customExecutor)return u.customExecutor(new jH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var $k=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Fk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Xn(c)[0]),p=[];a!=null&&(p=a.map(c=>Xn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((w2(c)||S6(c)||T6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function v6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Xn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var w6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],k6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],I6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function w2(e){return w6.indexOf(e.op)>=0}function S6(e){return k6.indexOf(e.op)>=0}function T6(e){return I6.indexOf(e.op)>=0}var ex=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new ex(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Fk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return v6(this.graph,this.weightMap,n)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Gt(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,n])=>[t,this.cloneTensorList(n)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Xn(p)[0]]),r=t.map(p=>Xn(p)[0]),s=r.map(p=>this.graph.nodes[p]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},u={};return P(()=>{let p=new $k(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(m=>{let[f,g]=Xn(m),y=[];y[g]=e[m],d[f]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[f]=this.cloneTensorList(y))});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mwn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=NH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.clonedTensorsMap||(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,n=!1,a={},r={}){this.disposeIntermediateTensors(),n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}let s=new $k(this.weightMap,a,r,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,n),o=t.map(d=>wn(d,i,s)),l=o.map(d=>d.id),u=Object.keys(e).map(d=>e[d].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(d=>{d.forEach(c=>{c&&!c.isDisposed&&!p.has(c.id)&&c.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(b=>this.graph.nodes[Xn(b)[0]]),i=n.map(b=>Xn(b)[0]),o=i.map(b=>this.graph.nodes[b]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Fk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(b=>({node:b,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(b=>{let[x,w]=Xn(b),I=[];I[w]=e[b],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let b=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(b)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(b=>!w2(b)&&!wn(b.name,h,t)).map(b=>b.name);if(y.length>0){let b="";throw p!=null&&(b=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${b}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=Sr(p.node.name,n)),a[p.node.name]==null){let c=Ak(p.node,a,n,this._resourceManager);d||([d]=Sr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(m)),n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(c)),this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=Sr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Xn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){var t,n;let a={};for(let r in e){let s=(n=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||n===void 0?void 0:n[r];s!=null?a[s.name]=e[r]:a[r]=e[r]}return a}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Xn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var n,a;let r=(a=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||a===void 0?void 0:a[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[n]=Xn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},N6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},C6="?tfjs-format=file",_6="model.json",S0=class{constructor(e,t={},n=Ht){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new N6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new ex(Nk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Nk.Instance.transformGraph(e.modelInitializer);this.initializer=new ex(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof Ne?[e]:e,n={};return t.forEach((a,r)=>n[this.structuredOutputKeys[r]]=a),n}return e}predict(e,t){let n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(e,t){let n=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(e){var t;if(!(e instanceof Ne)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let n=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${e.length} input tensors provided.`);let a=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[a++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,n=Object.keys(t);for(let a=0;a1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function E6(e,t={},n=Ht){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=$6(e));let a=new S0(e,t,n);return await a.load(),a}function A6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ht.getWeightSpecs(a.weightsManifest),i=Ht.getModelArtifactsForJSONSync(a,s,r);t=Ht.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ht.fromMemorySync(e);else throw new Error("Unknown model format");let n=new S0(t);return n.load(),n}function $6(e){return e.endsWith("/")||(e=e+"/"),`${e}${_6}${C6}`}var F6="4.2.0",k2={};Ae(k2,{CSVDataset:()=>$2,Dataset:()=>Ru,FileDataSource:()=>L2,TextLineDataset:()=>A2,URLDataSource:()=>z2,array:()=>tq,csv:()=>dq,func:()=>hq,generator:()=>mq,microphone:()=>gq,version_data:()=>yq,webcam:()=>fq,zip:()=>nq});var R6=hs(Gh()),D6=hs(Gh());function M6(e,t){return Dh(e,t)}function Dh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(fl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Dh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function P6(e,t=S2){return I2(e,t)}function I2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(fl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=I2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function S2(e){return e===null?null:fl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function T2(e,t){let n=new Map;Dh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Dh(e,t,n)}function fl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=yI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Ne)&&!(e instanceof Promise)&&!t)}function O6(e){return e==null||L6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Ne||v.isTypedArray(e)}function L6(e){return e===null||typeof e!="object"&&typeof e!="function"}function z6(e){return M6(e,W6)}function W6(e){return e instanceof Ne?{value:e.clone(),recurse:!1}:fl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var N2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},T0=class extends N2{constructor(){super(T0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new K6(this,e,t)}columnMajorBatch(e,t=!0,n=S2){return this.rowMajorBatch(e,t).map(a=>P6(a,n))}concatenate(e,t){return new _2(C2([this,e]),t)}take(e){return e<0||e==null?this:new j6(this,e)}skip(e){return e<0||e==null?this:new q6(this,e)}prefetch(e){return new E2(this,e)}shuffle(e,t){return new eq(this,e,t)}serial(){return new H6(this)}},U6=class extends nn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:z6(e),done:!1}}},G6=class extends nn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},H6=class extends nn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},q6=class extends nn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},K6=class extends nn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},X6=class extends nn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},Y6=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},Z6=class extends nn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},Rk=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},C0=class extends nn{constructor(){super(),this.outputQueue=new T0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},J6=class extends C0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return!0}},_2=class extends nn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Jr;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Jr||(Jr={}));var Q6=class extends nn{constructor(e,t=Jr.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof nn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await T2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Jr.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Jr.SHORTEST:return{value:null,done:!0};case Jr.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},E2=class extends nn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new N2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},eq=class extends E2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=D6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Ru=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is + ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=Qb(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Tr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Tr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Tr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Tr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Tr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Tr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new YH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=QH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=JH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=ZH(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=e6(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[xe(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ek(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=sh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var n6=(e,t,n,a=an)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ek(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Ek(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=sh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=sh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},a6=(e,t,n,a=an)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function mb(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var r6=async(e,t,n,a,r=an)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=mb(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=mb(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=mb(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},s6=(e,t,n,a=an)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=an)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[wn(e.name,t,n)||r];case"Placeholder":return[wn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[Tr(p)]}case"IdentityN":return k("x",e,t,n).map(p=>Tr(p));case"Snapshot":let s=k("x",e,t,n);return[Tr(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return xe(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=lt(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new o6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},u6=(e,t,n,a=an)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},p6=(e,t,n,a=an)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},c6=(e,t,n,a=an)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},d6=(e,t,n,a=an)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},h6=(e,t,n,a=an)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=a.raggedGather(k("paramsNestedSplits",e,t,n),k("paramsDenseValues",e,t,n),k("indices",e,t,n),k("outputRaggedRank",e,t,n));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=a.raggedRange(k("starts",e,t,n),k("limits",e,t,n),k("splits",e,t,n));return[r,s]}case"RaggedTensorToTensor":return[a.raggedTensorToTensor(k("shape",e,t,n),k("values",e,t,n),k("defaultValue",e,t,n),k("rowPartitionTensors",e,t,n),k("rowPartitionTypes",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},m6=(e,t,n,a=an)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},f6=(e,t,n,a=an)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},g6=(e,t,n,a=an)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},y6=(e,t,n,a=an)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},b6=(e,t,n,a=an)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},x6=(e,t,n,a=an)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Ak(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>KH(i,o,l));case"basic_math":return r(()=>XH(i,o,l));case"control":return t6(i,o,l);case"convolution":return r(()=>n6(i,o,l));case"creation":return r(()=>a6(i,o,l));case"dynamic":return r6(i,o,l);case"evaluation":return r(()=>s6(i,o,l));case"image":return r(()=>u6(i,o,l));case"graph":return r(()=>i6(i,o,l));case"logical":return r(()=>p6(i,o,l));case"matrices":return r(()=>c6(i,o,l));case"normalization":return r(()=>d6(i,o,l));case"ragged":return r(()=>h6(i,o,l));case"reduction":return r(()=>m6(i,o,l));case"slice_join":return r(()=>f6(i,o,l));case"sparse":return r(()=>g6(i,o,l));case"spectral":return r(()=>y6(i,o,l));case"string":return r(()=>b6(i,o,l));case"transformation":return r(()=>x6(i,o,l));case"hash_table":return l6(i,o,l,a);case"custom":let u=QN(i.op);if(u&&u.customExecutor)return u.customExecutor(new jH(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var $k=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Fk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Xn(c)[0]),p=[];a!=null&&(p=a.map(c=>Xn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((w2(c)||S6(c)||T6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function v6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Xn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var w6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],k6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],I6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function w2(e){return w6.indexOf(e.op)>=0}function S6(e){return k6.indexOf(e.op)>=0}function T6(e){return I6.indexOf(e.op)>=0}var ex=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new ex(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Fk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return v6(this.graph,this.weightMap,n)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Gt(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,n])=>[t,this.cloneTensorList(n)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Xn(p)[0]]),r=t.map(p=>Xn(p)[0]),s=r.map(p=>this.graph.nodes[p]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},u={};return P(()=>{let p=new $k(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(m=>{let[f,g]=Xn(m),y=[];y[g]=e[m],d[f]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[f]=this.cloneTensorList(y))});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mwn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=NH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,n=!1,a={},r={}){this.disposeIntermediateTensors(),n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}let s=new $k(this.weightMap,a,r,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,n),o=t.map(d=>wn(d,i,s)),l=o.map(d=>d.id),u=Object.keys(e).map(d=>e[d].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(d=>{d.forEach(c=>{c&&!c.isDisposed&&!p.has(c.id)&&c.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(b=>this.graph.nodes[Xn(b)[0]]),i=n.map(b=>Xn(b)[0]),o=i.map(b=>this.graph.nodes[b]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Fk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(b=>({node:b,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(b=>{let[x,w]=Xn(b),I=[];I[w]=e[b],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let b=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(b)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(b=>!w2(b)&&!wn(b.name,h,t)).map(b=>b.name);if(y.length>0){let b="";throw p!=null&&(b=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${b}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=Sr(p.node.name,n)),a[p.node.name]==null){let c=Ak(p.node,a,n,this._resourceManager);d||([d]=Sr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(m)),n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(c)),this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=Sr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!wn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Xn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){var t,n;let a={};for(let r in e){let s=(n=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||n===void 0?void 0:n[r];s!=null?a[s.name]=e[r]:a[r]=e[r]}return a}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Xn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var n,a;let r=(a=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||a===void 0?void 0:a[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[n]=Xn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},N6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},C6="?tfjs-format=file",_6="model.json",S0=class{constructor(e,t={},n=Ht){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new N6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new ex(Nk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Nk.Instance.transformGraph(e.modelInitializer);this.initializer=new ex(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof Ne?[e]:e,n={};return t.forEach((a,r)=>n[this.structuredOutputKeys[r]]=a),n}return e}predict(e,t){let n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(e,t){let n=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(e){var t;if(!(e instanceof Ne)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let n=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${e.length} input tensors provided.`);let a=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[a++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,n=Object.keys(t);for(let a=0;a1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function E6(e,t={},n=Ht){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=$6(e));let a=new S0(e,t,n);return await a.load(),a}function A6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ht.getWeightSpecs(a.weightsManifest),i=Ht.getModelArtifactsForJSONSync(a,s,r);t=Ht.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ht.fromMemorySync(e);else throw new Error("Unknown model format");let n=new S0(t);return n.load(),n}function $6(e){return e.endsWith("/")||(e=e+"/"),`${e}${_6}${C6}`}var F6="4.2.0",k2={};Ae(k2,{CSVDataset:()=>$2,Dataset:()=>Ru,FileDataSource:()=>L2,TextLineDataset:()=>A2,URLDataSource:()=>z2,array:()=>tq,csv:()=>dq,func:()=>hq,generator:()=>mq,microphone:()=>gq,version_data:()=>yq,webcam:()=>fq,zip:()=>nq});var R6=hs(Gh()),D6=hs(Gh());function M6(e,t){return Dh(e,t)}function Dh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(fl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Dh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function P6(e,t=S2){return I2(e,t)}function I2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(fl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=I2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function S2(e){return e===null?null:fl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function T2(e,t){let n=new Map;Dh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Dh(e,t,n)}function fl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=yI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Ne)&&!(e instanceof Promise)&&!t)}function O6(e){return e==null||L6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Ne||v.isTypedArray(e)}function L6(e){return e===null||typeof e!="object"&&typeof e!="function"}function z6(e){return M6(e,W6)}function W6(e){return e instanceof Ne?{value:e.clone(),recurse:!1}:fl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var N2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},T0=class extends N2{constructor(){super(T0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new K6(this,e,t)}columnMajorBatch(e,t=!0,n=S2){return this.rowMajorBatch(e,t).map(a=>P6(a,n))}concatenate(e,t){return new _2(C2([this,e]),t)}take(e){return e<0||e==null?this:new j6(this,e)}skip(e){return e<0||e==null?this:new q6(this,e)}prefetch(e){return new E2(this,e)}shuffle(e,t){return new eq(this,e,t)}serial(){return new H6(this)}},U6=class extends nn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:z6(e),done:!1}}},G6=class extends nn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},H6=class extends nn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},q6=class extends nn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},K6=class extends nn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},X6=class extends nn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},Y6=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},Z6=class extends nn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},Rk=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},C0=class extends nn{constructor(){super(),this.outputQueue=new T0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},J6=class extends C0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return!0}},_2=class extends nn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Jr;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Jr||(Jr={}));var Q6=class extends nn{constructor(e,t=Jr.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof nn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await T2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Jr.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Jr.SHORTEST:return{value:null,done:!0};case Jr.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},E2=class extends nn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new N2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},eq=class extends E2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=D6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Ru=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Kn(async()=>(await n.iterator()).columnMajorBatch(e,t,aq),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Kn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Kn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Kn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Kn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Kn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Kn(async()=>{let a=N0(async()=>({value:await t.iterator(),done:!1}));return B6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=R6.alea(t||v.now().toString());return Kn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Kn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Ru.MAX_BUFFER_SIZE=1e4;function Kn(e,t=null){return new class extends Ru{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function tq(e){return Kn(async()=>C2(e),e.length)}function nq(e){if(!fl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await T2(e,a=>{if(a instanceof Ru)return{value:a.iterator(),recurse:!1};if(fl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return V6(n,Jr.SHORTEST)},t)}function aq(e){if(e===null)return null;let t=e[0];return O6(t)?{value:rq(e),recurse:!1}:{value:null,recurse:!0}}function rq(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Ne?Ft(e):fn(e)}var A2=class extends Ru{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` `).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Zd='"',Sp=Symbol("out"),Dk=Symbol("field"),Jd=Symbol("quote"),fb=Symbol("quoteafterquote"),Mk=Symbol("quoteinquote"),$2=class extends Ru{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new A2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new F2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),fn(n,t)}},R2=class extends nn{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=je([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=Aa([s,r,o,i],[1,4])}else this.cropBox=Aa([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new R2(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=vo.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=Qt(ie(e,"float32"),0),n;n=Ea.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return W(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},D2=class{},M2=class extends nn{split(e){return new sq(this,e)}},sq=class extends M2{constructor(e,t){super(),this.upstream=e,this.impl=new iq(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},iq=class extends C0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},oq=class extends nn{decodeUTF8(){return new lq(this)}},lq=class extends M2{constructor(e){super(),this.upstream=e,this.impl=new uq(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},uq=class extends C0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=yI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},P2=class extends oq{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function pq(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=cq(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new P2(i,t)}else throw new Error(s.statusText)}var cq=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function O2(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var L2=class extends D2{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(O2(this.input)&&H().get("IS_NODE")){let e=yx();this.input=e.readFileSync(this.input.slice(7))}return new P2(this.input,this.options)}},z2=class extends D2{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return O2(this.url)?new L2(this.url,this.fileOptions).iterator():pq(this.url,this.fileOptions)}};function dq(e,t={}){return new $2(new z2(e),t)}function hq(e){let t=N0(e);return Kn(async()=>t)}function mq(e){return Kn(async()=>{let t=await e();return N0(()=>t.next())})}async function fq(e,t){return R2.create(e,t)}async function gq(e){return F2.create(e)}var yq="4.2.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var bq=hr.whereImpl,_0=class extends ac{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Hh(this,Ca())}nextDataId(){return _0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` ============================ @@ -4878,5 +4878,5 @@ return a / b;`,Mne=` } `}};function Fse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=N.getAxesPermutation([u],o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=de({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=_m(r.dtype),g=(w,I,T,C,E)=>{let $=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:$,numSegments:E},M=new $se(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===E)return B;let U=fE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=yE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,E)},y=g(m,"unsortedSegmentSum",s,f,i),b=de({inputs:{x:y},backend:n,attrs:{shape:c}}),x=b;if(p!=null){l.push(b);let w=N.getUndoAxesPermutation(p);x=In({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Rse={kernelName:vc,backendName:"webgl",kernelFunc:Fse},Dse=[EJ,$J,DJ,OJ,zJ,VJ,GJ,qJ,YJ,JJ,t9,r9,o9,c9,m9,g9,b9,k9,S9,N9,A9,O9,z9,B9,j9,X9,Q9,dJ,nQ,oQ,cQ,yQ,xQ,wQ,IQ,TQ,_Q,$Q,DQ,PQ,LQ,WQ,UQ,HQ,XQ,ZQ,eee,aee,see,uee,hee,yee,vee,Iee,See,Nee,_ee,Aee,Fee,Dee,Lee,Bee,Gee,qee,Xee,Jee,nte,ite,cJ,lte,sQ,cte,mte,yte,mJ,wte,Tte,Cte,$te,Dte,Lte,Bte,Hte,Xte,Jte,ene,rne,ine,lne,dne,mne,gne,bne,vne,Sne,_ne,Fne,Wne,yJ,Gne,jne,Yne,Qne,U9,nae,rae,iae,uae,hae,gJ,fae,yae,xae,wae,kae,G9,Pne,Tae,Eae,Rae,xJ,Oae,Wae,Gae,jae,Zae,Qae,nre,sre,ore,pre,hre,gre,vre,Ire,Nre,Ere,M9,Lne,Fre,Dre,Pre,Lre,Wre,Vre,Gre,qre,Kre,Zre,Qre,tse,rse,ise,lse,pse,One,NJ,hse,gse,xse,Ise,Nse,CJ,_se,Ase,Rse,aae];for(let e of Dse)wc(e);var At;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(At||(At={}));var nc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(nc||(nc={}));var bE;function Mse(e){bE=e.wasm.cwrap(Qs,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Pse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=nc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],b=u?s.shape[1]:s.shape[2],x=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,y,b],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return bE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Ose={kernelName:Qs,backendName:"wasm",setupFunc:Mse,kernelFunc:Pse};function Ut(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,At[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Lse=Ut(wl);function dn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),y=new Uint8Array(new Int32Array(p.shape).buffer),b=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,y,p.shape.length,At[u.dtype],b),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var zse=!0,Wse=dn(fs,zse),xE;function Bse(e){xE=e.wasm.cwrap(yi,null,["array","number","number","number"])}function Vse(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return xE(s,r.length,At[a.dtype],i),a}var Use={kernelName:yi,backendName:"wasm",setupFunc:Bse,kernelFunc:Vse};function Rf(e){let{inputs:{x:t},backend:n}=e;if(t.dtype==="string")return fn(n.readSync(t.dataId),t.shape,t.dtype);let a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var Gse={kernelName:Pi,backendName:"wasm",kernelFunc:Rf},vE;function Hse(e){vE=e.wasm.cwrap(Cr,null,["number","array","number","number","number","array","number"])}function ds(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=jse(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var Kse={kernelName:Cr,backendName:"wasm",kernelFunc:ds,setupFunc:Hse};function Cs(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var oie={kernelName:iu,backendName:"wasm",kernelFunc:Wn},TE;function lie(e){TE=e.wasm.cwrap(vi,null,["number","array","number","number","array","number","number","number","number"])}function uie(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),y=v.sizeFromShape(f),b=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[y,h,d]:[y,d,h],I=Wn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=Wn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,$=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,y),S=n.makeOutput([F,$,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,B=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return TE(C,B,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=b,S}var pie={kernelName:vi,backendName:"wasm",setupFunc:lie,kernelFunc:uie};function fi(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=Kt.parseSliceParams(t,n,a),o=Kt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=Kt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Ph(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)cie(l,p[0],c,s,i);else if(h===3)die(l,p[0],p[1],c,s,i);else if(h===4)hie(l,p[0],p[1],p[2],c,s,i);else{let m=Ph(l,s,i,t.shape,t.dtype);c.set(m)}return u}function cie(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;uy*b),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=Wn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=ds({inputs:{x:h},backend:n,attrs:{perm:u}}),f=Wn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=fi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var gie={kernelName:$l,backendName:"wasm",kernelFunc:fie};function Uu(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var yie={kernelName:wi,backendName:"wasm",kernelFunc:Uu},bie=Ut(ki),NE;function xie(e){NE=e.wasm.cwrap(gs,null,["number","number","number","number"])}function vie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return NE(o,s,i,u),l}var wie={kernelName:gs,backendName:"wasm",setupFunc:xie,kernelFunc:vie};function CE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Rf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=[-1,v.sizeFromShape(x.shape.slice(a))];return Wn({inputs:{x},backend:n,attrs:{shape:w}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=$0(m,s,t[0].dtype,f),y=N.computeOutShape(i.map(x=>x.shape),a);o.shape=y;let b=n.dataIdMap.get(o.dataId);return b.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ds({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;$E(m,i?1:0,o?1:0,h,f,At[r.dtype]);let g=c;if(u!==null){let y=N.getUndoAxesPermutation(u);g=ds({inputs:{x:c},attrs:{perm:y},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Pie={kernelName:Rl,backendName:"wasm",setupFunc:Die,kernelFunc:Mie},FE;function Oie(e){FE=e.wasm.cwrap(Ci,null,["number","number","number","number","number","number"])}function Lie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ds({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;FE(m,i?1:0,o?1:0,h,f,At[r.dtype]);let g=c;if(u!==null){let y=N.getUndoAxesPermutation(u);g=ds({inputs:{x:c},attrs:{perm:y},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var zie={kernelName:Ci,backendName:"wasm",setupFunc:Oie,kernelFunc:Lie},RE;function Wie(e){RE=e.wasm.cwrap(Ml,null,["number","number","number","array","number","array","array","number","number"])}function Bie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return RE(g,s,i==="NHWC"?1:0,y,r.shape.length-1,b,x,m.length,w),f}var Vie={kernelName:Ml,backendName:"wasm",setupFunc:Wie,kernelFunc:Bie},DE;function Uie(e){DE=e.wasm.cwrap(_i,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Gie(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,y=h.padInfo.right,b=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,$=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return DE(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,y,b,x,R,w,I,T,C,E,$,S),F}var Hie={kernelName:_i,backendName:"wasm",setupFunc:Uie,kernelFunc:Gie},qie=Ut(Ai),jie=!1,Kie=dn(Ol,jie,"bool"),Xie=Ut($i,"float32");function dx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Wn({inputs:{x:r},backend:a,attrs:{shape:o}})}var Yie={kernelName:Ll,backendName:"wasm",kernelFunc:dx};function ME(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var Zie={kernelName:uc,backendName:"wasm",kernelFunc:ME},PE;function Jie(e){PE=e.wasm.cwrap(Wl,null,["number","number","number","number","number","number"])}function Qie(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return PE(s,o,l,u,p,i),r}var eoe={kernelName:Wl,backendName:"wasm",kernelFunc:Qie,setupFunc:Jie},toe=Ut(Fi),noe=!1,aoe=dn(Ri,noe),OE;function roe(e){OE=e.wasm.cwrap(Di,null,["number","number","number","number","number","number","number"])}function soe(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return OE(p,d,c,h,m,r,g),f}var ioe={kernelName:Di,backendName:"wasm",setupFunc:roe,kernelFunc:soe},LE;function ooe(e){LE=e.wasm.cwrap(ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function loe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=nc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let y=a.dataIdMap.get(r.dataId).id,b=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,$=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,j=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let J=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(J.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return LE(y,j,K,Z,b,I,T,w,C,E,$,R,G,F,S,M,B,U,x,g,ae,m||0,ee),J}var uoe={kernelName:ei,backendName:"wasm",setupFunc:ooe,kernelFunc:loe},zE;function poe(e){zE=e.wasm.cwrap(ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function coe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=nc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let y=a.dataIdMap.get(r.dataId).id,b=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,$=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,j=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let J=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(J.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return zE(y,j,K,Z,b,I,T,w,C,E,$,R,G,F,S,M,B,U,x,g,ae,m||0,ee),J}var doe={kernelName:ti,backendName:"wasm",setupFunc:poe,kernelFunc:coe},WE;function hoe(e){WE=e.wasm.cwrap(Vl,null,["number","number","number","number","number","number","array","number"])}function moe(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Hv.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return WE(c,At[a.dtype],h,i,d,o,m,f),u}var foe={kernelName:Vl,backendName:"wasm",setupFunc:hoe,kernelFunc:moe},BE;function goe(e){BE=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function yoe(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=Wn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=Wn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let y=c.shape.length-1,b=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return BE(b,At[r.dtype],I,y,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var boe={kernelName:Bl,backendName:"wasm",setupFunc:goe,kernelFunc:yoe},xoe=!1,voe=dn(Ul,xoe,"bool"),woe=!1,koe=dn(Mi,woe,"bool"),Ioe=Ut(Oi,"bool"),VE;function Soe(e){VE=e.wasm.cwrap(Li,null,["number","number","number","number"])}function Toe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;VE(r,At[t.dtype],n,i)}return s}var Noe={kernelName:Li,backendName:"wasm",setupFunc:Soe,kernelFunc:Toe},Coe=!1,_oe=dn(ql,Coe,"bool"),Eoe=!1,Aoe=dn(jl,Eoe,"bool"),$oe=Ut(zi),Foe=!1,Roe=dn(Xl,Foe,"bool"),Doe=Ut(Yl),Moe=!1,Poe=dn(Zl,Moe,"bool"),Ooe=!1,Loe=dn(FI,Ooe,"bool"),UE;function zoe(e){UE=e.wasm.cwrap(Wi,null,["number","number","number","number"])}function Woe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Cs(i,r,t);if(c){let b=t.dataIdMap.get(u.dataId).id;l=u,o=b}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),y=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let b=t.dataIdMap.get(y.dataId).id;UE(o,At[i.dtype],g,b)}if(c&&t.disposeData(u.dataId),s){let b=N.expandShapeToKeepDim(y.shape,d);y.shape=b}return y}var Boe={kernelName:Wi,backendName:"wasm",setupFunc:zoe,kernelFunc:Woe},Voe=!1,Uoe=dn(Bi,Voe),GE;function Goe(e){GE=e.wasm.cwrap(Vi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Hoe(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,y=p.dilationHeight,b=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return GE(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,y,b,x,w,I,T,E),C}var qoe={kernelName:Vi,backendName:"wasm",setupFunc:Goe,kernelFunc:Hoe},HE;function joe(e){HE=e.wasm.cwrap(Ui,null,["number, number, number"])}function Koe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Cs(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=u;u.dtype!=="float32"&&(b=Uu({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(b.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;HE(l,y,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(b.dataId),x}var Xoe={kernelName:Ui,backendName:"wasm",setupFunc:joe,kernelFunc:Koe},qE;function Yoe(e){qE=e.wasm.cwrap(Gi,null,["number","number","number","number"])}function Zoe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Cs(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;qE(l,At[i.dtype],y,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var Joe={kernelName:Gi,backendName:"wasm",setupFunc:Yoe,kernelFunc:Zoe},Qoe=!1,ele=dn(Hi,Qoe),hx;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(hx||(hx={}));var jE;function tle(e){jE=e.wasm.cwrap(qi,null,["number","array","number","number","array","array","number","number"])}function nle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return jE(i,u,t.shape.length,At[t.dtype],c,h,hx[r],l),o}var ale={kernelName:qi,backendName:"wasm",kernelFunc:nle,setupFunc:tle},rle=!0,sle=dn(ji,rle),ile=Ut(Ql);function a1(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var KE;function ole(e){KE=e.wasm.cwrap(tu,"number",["number","number","number","number","number"])}function lle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=KE(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=a1(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var ule={kernelName:tu,backendName:"wasm",setupFunc:ole,kernelFunc:lle},XE;function ple(e){XE=e.wasm.cwrap(nu,"number",["number","number","number","number","number","bool"])}function cle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=XE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=a1(t,c);t.wasm._free(f);let y=t.makeOutput([m],"int32",h),b=t.makeOutput([],"int32",g);return[y,b]}var dle={kernelName:nu,backendName:"wasm",setupFunc:ple,kernelFunc:cle},YE;function hle(e){YE=e.wasm.cwrap(au,"number",["number","number","number","number","number","number"])}function mle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=YE(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=a1(t,c);t.wasm._free(g);let y=t.makeOutput([m],"int32",h),b=t.makeOutput([m],"float32",f);return[y,b]}var fle={kernelName:au,backendName:"wasm",setupFunc:hle,kernelFunc:mle},gle=!1,yle=dn(eu,gle,"bool"),ZE;function ble(e){ZE=e.wasm.cwrap(Ki,null,["number","number","number","number","number"])}function xle(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return ZE(d,i,o,l,p),u}var vle={kernelName:Ki,backendName:"wasm",setupFunc:ble,kernelFunc:xle};function wle(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var kle={kernelName:ru,backendName:"wasm",kernelFunc:wle};function Ile(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return dx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=dx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=CE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var Sle={kernelName:su,backendName:"wasm",kernelFunc:Ile},JE;function Tle(e){JE=e.wasm.cwrap(Xi,null,["number","array","number","number","array","array","number","number"])}function Nle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return ME({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return JE(i,u,t.shape.length,At[t.dtype],c,h,r,l),o}var QE={kernelName:Xi,backendName:"wasm",kernelFunc:Nle,setupFunc:Tle},Cle=!1,_le=dn(Yi,Cle),eA;function Ele(e){eA=e.wasm.cwrap(Zi,null,["number","number","number"])}function Ale(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=Uu({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return eA(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var $le={kernelName:Zi,backendName:"wasm",setupFunc:Ele,kernelFunc:Ale},tA;function Fle(e){tA=e.wasm.cwrap(Ji,null,["number","number","number","number"])}function Rle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Cs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;tA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var Dle={kernelName:Ji,backendName:"wasm",setupFunc:Fle,kernelFunc:Rle},Mle=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=D0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},Ple={kernelName:dc,backendName:"wasm",kernelFunc:Mle},Ole=!0,Lle=dn(Ei,Ole),zle=Ut(Qi),Wle=Ut(eo),Ble=Ut(ao),nA;function Vle(e){nA=e.wasm.cwrap(no,null,["number","number","number","number","number","number","number","number","number","number"])}function Ule(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=Uu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let y=f.id,b=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return b;let x=t.dataIdMap.get(b.dataId).id;return nA(y,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),b}var Gle={kernelName:no,backendName:"wasm",setupFunc:Vle,kernelFunc:Ule},aA;function Hle(e){aA=e.wasm.cwrap(to,null,["number","number","number","number","number","number","number","number","number","number"])}function qle(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),y;g.dtype!=="float32"&&(y=Uu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(y.dataId));let b=g.id,x=t.dataIdMap.get(f.dataId).id;return aA(b,p,d,c,h,l,u,s?1:0,i?1:0,x),y!=null&&t.disposeData(y.dataId),f}var jle={kernelName:to,backendName:"wasm",setupFunc:Hle,kernelFunc:qle},rA;function Kle(e){rA=e.wasm.cwrap(ro,null,["number","array","number","array","number","number"])}function Xle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Rf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);rA(l,p,i.length,d,r.shape.length,u);let c=Wn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var Yle={kernelName:ro,backendName:"wasm",kernelFunc:Xle,setupFunc:Kle},sA;function Zle(e){sA=e.wasm.cwrap(ku,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Jle(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),y=i===0,b=255,x=typeof i=="number"?[i,i,i,y?0:b]:[...i,b],w=new Uint8Array(new Int32Array(x).buffer);return sA(u,d,c,h,m,s,f,g,w,x.length,p),l}var Qle={kernelName:ku,backendName:"wasm",kernelFunc:Jle,setupFunc:Zle},eue=Ut(so),tue=Ut(io),iA;function nue(e){iA=e.wasm.cwrap(ou,null,["number","number","number","number","number","number","array","number","number"])}function aue(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Ev.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return iA(h,m,At[s.dtype],l,u,p,f,c,g),o}var rue={kernelName:ou,backendName:"wasm",setupFunc:nue,kernelFunc:aue},oA;function sue(e){oA=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function iue(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return oA(i,o,l,h,p),u}var oue={kernelName:lu,backendName:"wasm",kernelFunc:iue,setupFunc:sue},lA;function lue(e){lA=e.wasm.cwrap(lo,null,["number","number"])}function uue(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||lA(a,s),r}var pue={kernelName:"Sigmoid",backendName:"wasm",setupFunc:lue,kernelFunc:uue},cue=Ut(oo),uA;function due(e){uA=e.wasm.cwrap(co,null,["number","number","number","number"])}function hue(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||uA(r,i,o,l),s}var mue={kernelName:co,backendName:"wasm",setupFunc:due,kernelFunc:hue};function fue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),y=n.dataIdMap.get(g.dataId).id;dA(d,At[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Iue(e){return mA(e,!0)}var Sue={kernelName:mc,backendName:"wasm",setupFunc:hA,kernelFunc:Iue};function Tue(e){return mA(e,!1)}var Nue={kernelName:fc,backendName:"wasm",setupFunc:hA,kernelFunc:Tue};function Cue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=fi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var _ue={kernelName:fu,backendName:"wasm",kernelFunc:Cue},Eue=Ut(uo),Aue=Ut(gc),$ue=!0,Fue=dn(ho,$ue),fA;function Rue(e){fA=e.wasm.cwrap(bs,null,["number","number","number","number"])}function Due(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return fA(i,r,At[s.dtype],l),o}var Mue={kernelName:bs,backendName:"wasm",setupFunc:Rue,kernelFunc:Due},gA;function Pue(e){gA=e.wasm.cwrap(yu,null,["number","array","number","array","array","array","array","array","number","number"])}function Oue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=fi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),$=new Uint8Array(new Int32Array(b).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;gA(C,E,r.shape.length,$,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Lue={kernelName:yu,backendName:"wasm",setupFunc:Pue,kernelFunc:Oue};function zue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=P0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=m;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(f),[g,b]}var Wue={kernelName:yc,backendName:"wasm",kernelFunc:zue};function Bue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=O0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Vue={kernelName:bc,backendName:"wasm",kernelFunc:Bue};function Uue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=L0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var Gue={kernelName:xc,backendName:"wasm",kernelFunc:Uue},Hue=!0,que=dn(mo,Hue),yA;function jue(e){yA=e.wasm.cwrap(po,null,["number","number","number","number"])}function Kue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Cs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;yA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var Xue={kernelName:po,backendName:"wasm",setupFunc:jue,kernelFunc:Kue},Yue=Ut(fo),Zue=Ut(go),bA;function Jue(e){bA=e.wasm.cwrap(ys,null,["number","array","number","array","number","number"])}function Que(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return xA(i,o,a.shape.length,At[a.dtype],r,s,p,c),[u,d]},ape={kernelName:bu,backendName:"wasm",setupFunc:tpe,kernelFunc:npe},vA;function rpe(e){vA=e.wasm.cwrap(xu,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function spe(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return vA(I,T,s.shape[0]>1,p,m,f,h,c,d,y,r.shape.length-1,b,g.length-1,C,E,l,w),x}var ipe={kernelName:xu,backendName:"wasm",setupFunc:rpe,kernelFunc:spe};function ope(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var lpe={kernelName:vu,backendName:"wasm",kernelFunc:ope};function upe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var ppe={kernelName:wu,backendName:"wasm",kernelFunc:upe},cpe=[Ose,Lse,Wse,Use,Zse,eie,aie,iie,pie,gie,yie,bie,wie,kie,Tie,_ie,Eie,Aie,Rie,Pie,zie,Vie,Hie,qie,Kie,Xie,Yie,Zie,eoe,toe,aoe,ioe,uoe,doe,foe,boe,voe,koe,Gse,Ioe,Noe,_oe,Aoe,$oe,Roe,Doe,Poe,Loe,Boe,Uoe,qoe,Xoe,Joe,ele,ale,sle,ile,ule,dle,fle,yle,vle,kle,Sle,QE,_le,$le,Dle,Ple,Lle,zle,Wle,Ble,oie,Gle,jle,Yle,Qle,eue,tue,rue,oue,pue,cue,mie,mue,gue,xue,kue,Sue,Nue,_ue,Eue,Aue,Fue,Mue,Lue,Wue,Vue,Gue,que,Xue,Yue,Zue,epe,ape,ipe,Kse,lpe,ppe];for(let e of cpe)wc(e);var mx=H();mx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});mx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(mx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var dI=hs(SF()),dpe=hs(TF()),hI=hs(NF()),mI=dI.default||dI,hpe=hI.default||hI,wA=class extends ac{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(kA),fx=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Hh(this,Ca())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return gpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function mpe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function fI(e,t,n){if(Uh!=null)return Uh;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Op!=null&&Op[a]!=null?Op[a]:n+a}async function fpe(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=dpe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?fI(e,t,Dp!=null?Dp:l):l+o},r1&&(r.instantiateWasm=mpe(fI(e,t,Dp!=null?Dp:"")));let s=!1;r.onAbort=()=>{s||Lp||(Lp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&Uh==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+mI.toString()],{type:"text/javascript"}),i=mI(r)):i=hpe(r),i.then(o=>{s=!0,Lp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function gpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var ype=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Uh=null,Dp=null,Op={},Lp=!1,r1=!1;function bpe(e,t=!1){if(_x("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Uh=e,r1=t}function xpe(e,t=!1){if(Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Dp=e;else{Op=e;let n=ype.filter(a=>Op[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}r1=t}var kA=-1,fx=-1;function vpe(e){kA=e}function wpe(){if(fx===-1)throw new Error("WASM backend not initialized.");return fx}var kpe="4.2.0",Ipe=2;Em("wasm",async()=>{let{wasm:e}=await fpe();return new wA(e)},Ipe);var gI="4.2.0",Spe="4.2.0",Tpe="4.2.0",Npe="4.2.0",Cpe="4.2.0",_pe={tfjs:gI,"tfjs-core":gI,"tfjs-converter":Spe,"tfjs-backend-cpu":Tpe,"tfjs-backend-webgl":Npe,"tfjs-backend-wasm":Cpe};var UA={};tb(UA,{AnchorPosition:()=>h1,DrawBox:()=>od,DrawBoxOptions:()=>Lf,DrawFaceLandmarks:()=>Yf,DrawFaceLandmarksOptions:()=>Xf,DrawTextField:()=>zr,DrawTextFieldOptions:()=>Yu,drawContour:()=>Mr,drawDetections:()=>Mpe,drawFaceExpressions:()=>Ppe,drawFaceLandmarks:()=>Lpe});function Mr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var IA={};tb(IA,{computeReshapedDimensions:()=>o1,getCenterPoint:()=>Eo,isDimensions:()=>Mf,isEven:()=>Df,isFloat:()=>i1,isTensor:()=>Co,isTensor1D:()=>Epe,isTensor2D:()=>s1,isTensor3D:()=>Pr,isTensor4D:()=>va,isValidNumber:()=>Za,isValidProbablitiy:()=>Gu,range:()=>fr,round:()=>_o});var En=class{constructor(t,n){if(!Za(t)||!Za(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new En(1/this.width,1/this.height)}};function Co(e,t){return e instanceof Ne&&e.shape.length===t}function Epe(e){return Co(e,1)}function s1(e){return Co(e,2)}function Pr(e){return Co(e,3)}function va(e){return Co(e,4)}function i1(e){return e%1!==0}function Df(e){return e%2===0}function _o(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Mf(e){return e&&e.width&&e.height}function o1({width:e,height:t},n){let a=n/Math.max(t,e);return new En(Math.round(e*a),Math.round(t*a))}function Eo(e){return e.reduce((t,n)=>t.add(n),new Oe(0,0)).div(new Oe(e.length,e.length))}function fr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Za(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function Gu(e){return Za(e)&&e>=0&&e<=1}var Oe=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new Oe(this.x+t.x,this.y+t.y)}sub(t){return new Oe(this.x-t.x,this.y-t.y)}mul(t){return new Oe(this.x*t.x,this.y*t.y)}div(t){return new Oe(this.x/t.x,this.y/t.y)}abs(){return new Oe(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new Oe(Math.floor(this.x),Math.floor(this.y))}};var ut=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Za)}static assertIsValidBox(t,n,a=!1){if(!ut.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Za),s=[a.x,a.y,a.width,a.height].every(Za);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];ut.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new Oe(this.left,this.top)}get topRight(){return new Oe(this.right,this.top)}get bottomLeft(){return new Oe(this.left,this.bottom)}get bottomRight(){return new Oe(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new ut({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new ut({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new ut({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Hu=class extends ut{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var _s=class{constructor(t,n,a,r,s){this._imageDims=new En(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new ut(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new ut(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new _s(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var xt=class extends _s{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new xt(a,r,s)}};function SA(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function TA(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function gr(e,t){return P(()=>{let[n,a,r]=t,s=bn([...e.shape.slice(0,3),1],n,"float32"),i=bn([...e.shape.slice(0,3),1],a,"float32"),o=bn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function CA(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,bn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>ie(c,"float32"));return Ze(d,i)})}function Aye(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function Pf(e){return 1/(1+Math.exp(-e))}function Fye(e){return Math.log(e/(1-e))}var qu=class extends ut{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var Ape=.5,$pe=.43,Fpe=.45,wa=class{constructor(t,n,a=new Oe(0,0)){let{width:r,height:s}=n;this._imgDims=new En(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new Oe(r,s)).add(a))}get shift(){return new Oe(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new Oe(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new Oe(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof xt?t.box.floor():new ut(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Fpe),l=Eo(t),u=Math.floor(Math.max(0,l.x-Ape*o)),p=Math.floor(Math.max(0,l.y-$pe*o));return new qu(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=TA(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var _A=class extends wa{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],Eo([t[3],t[4]])]}};var ju=class extends wa{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(Eo)}};var rd=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${_o(this.distance)})`:""}`}};var sd=class extends ut{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(ut.assertIsValidBox(n,a),!Za(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var Or=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new Or(t.label,n)}};var EA=class extends sd{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(sd.assertIsValidLabeledBox(n,a),!Gu(n.score)||!Gu(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function Lr(e){return e.detection instanceof xt}function Ku(e,t){return{...e,...{detection:t}}}function l1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function id(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Of(e){let t="";if(!e&&id())try{e=aF("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function u1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Of();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function p1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var sn;function Rpe(){if(!sn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return sn}function c1(e){sn=e}function d1(){return p1()?c1(l1()):id()?c1(u1()):null}function Dpe(e){if(sn||d1(),!sn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=sn.Canvas,Image:n=sn.Image}=e;sn.Canvas=t,sn.Image=n,sn.createCanvasElement=e.createCanvasElement||(()=>new t),sn.createImageElement=e.createImageElement||(()=>new n),sn.ImageData=e.ImageData||sn.ImageData,sn.Video=e.Video||sn.Video,sn.fetch=e.fetch||sn.fetch,sn.readFile=e.readFile||sn.readFile}var tt={getEnv:Rpe,setEnv:c1,initialize:d1,createBrowserEnv:l1,createFileSystem:Of,createNodejsEnv:u1,monkeyPatch:Dpe,isBrowser:p1,isNodejs:id};d1();function Xu(e){return!tt.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function aa(e){let{Canvas:t,CanvasRenderingContext2D:n}=tt.getEnv();if(e instanceof n)return e;let a=Xu(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var h1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(h1||{}),Yu=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},zr=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof zr?t.text:t,this.anchor=n,this.options=new Yu(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Lf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new Yu({...i,...s})}},od=class{constructor(t,n={}){this.box=new ut(t),this.options=new Lf(n)}draw(t){let n=aa(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new zr([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Mpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof xt?a.score:Lr(a)?a.detection.score:void 0,s=a instanceof xt?a.box:Lr(a)?a.detection.box:new ut(a),i=r?`${_o(r)}`:void 0;new od(s,{label:i}).draw(e)})}function zf(e){let{Image:t,Video:n}=tt.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function AA(e){return new Promise((t,n)=>{(e instanceof tt.getEnv().Canvas||zf(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function $A(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=tt.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Zu(e){let{Image:t,Video:n}=tt.getEnv();return e instanceof t?new En(e.naturalWidth,e.naturalHeight):e instanceof n?new En(e.videoWidth,e.videoHeight):new En(e.width,e.height)}function Ju({width:e,height:t}){let{createCanvasElement:n}=tt.getEnv(),a=n();return a.width=e,a.height=t,a}function Wf(e,t){let{ImageData:n}=tt.getEnv();if(!(e instanceof n)&&!zf(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Zu(e),s=Ju({width:a,height:r});return e instanceof n?aa(s).putImageData(e,0,0):aa(s).drawImage(e,0,0,a,r),s}async function FA(e,t){let n=t||tt.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(va(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await vo.toPixels(i,n),i.dispose(),n}function m1(e){let{Image:t,Canvas:n,Video:a}=tt.getEnv();return e instanceof t||e instanceof n||e instanceof a}function RA(e,t,n=!1){let{Image:a,Canvas:r}=tt.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Ju({width:1,height:1});let s=Zu(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Ju({width:t,height:t}),p=e instanceof r?e:Wf(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&aa(u).drawImage(p,c,h,o,l),u}var Wr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Pr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(va(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof tt.getEnv().Canvas?a:Wf(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return fr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return o1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=fr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Ne){let o=va(i)?i:Qt(i);return o=CA(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=Ea.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof tt.getEnv().Canvas)return vo.fromPixels(RA(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>ie(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function vt(e){if(e instanceof Wr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Xu);return a.forEach((r,s)=>{if(!m1(r)&&!Pr(r)&&!va(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(va(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>m1(r)&&AA(r))),new Wr(a,Array.isArray(e))}async function ld(e,t){let{Canvas:n}=tt.getEnv(),a=e;if(!(e instanceof n)){let i=await vt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await FA(o)}let r=aa(a);return t.map(i=>i instanceof xt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Ju({width:l,height:u});return l>0&&u>0&&aa(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function ud(e,t){if(!Pr(e)&&!va(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(va(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(va(e)?1:0);return t.map(o=>o instanceof xt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>bo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Es(e,t){let{fetch:n}=tt.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function yve(e){let t=await Es(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return $A(n)}async function DA(e){return(await Es(e)).json()}async function kve(e){return new Float32Array(await(await Es(e)).arrayBuffer())}function MA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=tt.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function _ve(e){let t=await Es(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return MA(n)}function Bf(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function PA(e,t){let{manifestUri:n,modelBaseUri:a}=Bf(e,t),r=await DA(n);return Ht.loadWeights(r,a)}function Mve(e,t,n=!1){let{width:a,height:r}=n?Zu(t):t;return e.width=a,e.height=r,{width:a,height:r}}var hn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ss)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ss))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=fn(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await PA(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=tt.getEnv(),{manifestUri:a,modelBaseUri:r}=Bf(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ht.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Ne))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Gn(e,t,n){return P(()=>{let a=Is(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=X(a,t.bias),a})}function Vf(e,t,n=!1){return P(()=>{let a=Ke(n?X(Rt(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Gn(e,t.conv0,[2,2])),r=Gn(a,t.conv1,[1,1]),s=Ke(X(a,r)),i=Gn(s,t.conv2,[1,1]);return Ke(X(a,X(r,i)))})}function pd(e,t,n=!1,a=!0){return P(()=>{let r=Ke(n?X(Rt(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Gn(e,t.conv0,a?[2,2]:[1,1])),s=Gn(r,t.conv1,[1,1]),i=Ke(X(r,s)),o=Gn(i,t.conv2,[1,1]),l=Ke(X(r,X(s,o))),u=Gn(l,t.conv3,[1,1]);return Ke(X(r,X(s,X(o,u))))})}function Ao(e,t,n="same",a=!1){return P(()=>{let r=X(Rt(e,t.filters,[1,1],n),t.bias);return a?Ke(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function Qu(e,t){return(n,a,r,s)=>{let i=Ra(e(n*a*r*r),[r,r,n,a]),o=je(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function Uf(e,t){return(n,a,r)=>{let s=Aa(e(n*a),[n,a]),i=je(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var cd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function ep(e,t){return(n,a,r)=>{let s=Ra(e(9*n),[3,3,n,1]),i=Ra(e(n*a),[1,1,n,a]),o=je(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new cd(s,i,o)}}function tp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new cd(n,a,r)}}function ra(e,t){return(n,a,r)=>{let s=e[n];if(!Co(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function Gf(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function OA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=Gf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function Hf(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function qf(e,t){let n=ra(e,t),a=Hf(n),r=tp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function LA(e){let t=[],{extractDenseBlock4Params:n}=qf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var np=class extends hn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=pd(s,n.dense0,!0);return i=pd(i,n.dense1),i=pd(i,n.dense2),i=pd(i,n.dense3),i=ya(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return LA(t)}extractParams(t){return OA(t)}};function dd(e,t){return P(()=>X(Re(e,t.weights),t.bias))}function zA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=Uf(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function WA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function jf(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var ap=class extends hn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Wr?this.faceFeatureExtractor.forwardInput(n):n;return dd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return zA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),WA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var BA=["neutral","happy","sad","angry","fearful","disgusted","surprised"],As=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);BA.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return BA.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var Kf=class extends ap{constructor(t=new np){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Xa(this.runNet(t)))}async forward(t){return this.forwardInput(await vt(t))}async predictExpressions(t){let n=await vt(t),a=await this.forwardInput(n),r=await Promise.all(lt(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new As(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function VA(e){return e.expressions instanceof As}function f1(e,t){return{...e,...{expressions:t}}}function Ppe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof As?s:VA(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=Lr(s)?s.detection.box.bottomLeft:a||new Oe(0,0);new zr(l.map(d=>`${d.expression} (${_o(d.probability)})`),u).draw(e)})}function rp(e){return Lr(e)&&e.landmarks instanceof wa&&e.unshiftedLandmarks instanceof wa&&e.alignedRect instanceof xt}function Ope(e){let t=l=>l*180/Math.PI,n=(l,u)=>Math.sqrt((l._x-u._x)**2+(l._y-u._y)**2),a={roll:void 0,pitch:void 0,yaw:void 0},r=(l,u,p)=>{let d=Math.floor(l._x-u._x),c=Math.floor(u._x-p._x);return d-c},s=(l,u)=>{let p=Math.hypot(u._x-l._x,u._y-l._y),d=u._y-l._y,c=Math.asin(d/p),h=t(c),m=Math.floor(90-h),f=u._x-l._x<0?-1:1;return m*f},i=(l,u,p)=>{let d=n(l,p),c={_x:(l._x+p._x)/2,_y:(l._y+p._y)/2},h=n(u,c),m=Math.atan(h/d),f=Math.floor(t(m)),g=c._y-u._y<0?-1:1;return f*g};if(!e||!e._positions||e._positions.length!==68)return a;let o=e._positions;return a.roll=s(o[27],o[66]),a.pitch=i(o[14],o[30],o[2]),a.yaw=r(o[14],o[33],o[2]),a}function hd(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new xt(e.detection.score,r.rescale(s.reverse()),s),o=Ope(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var Xf=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},Yf=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new Xf(n)}draw(t){let n=aa(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof ju&&(n.strokeStyle=i,n.lineWidth=s,Mr(n,this.faceLandmarks.getJawOutline()),Mr(n,this.faceLandmarks.getLeftEyeBrow()),Mr(n,this.faceLandmarks.getRightEyeBrow()),Mr(n,this.faceLandmarks.getNose()),Mr(n,this.faceLandmarks.getLeftEye(),!0),Mr(n,this.faceLandmarks.getRightEye(),!0),Mr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function Lpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof wa?a:rp(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new Yf(r).draw(e)})}var GA="1.7.8";function Bpe(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function HA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=Bpe(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};fr(t,0,1).forEach(y=>{h[`main_block_${y}`]=l(128,`middle_flow/main_block_${y}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function Vpe(e,t){let n=ra(e,t),a=Hf(n),r=tp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function qA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=Vpe(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};fr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function jA(e,t,n){return X(Rt(e,t.filters,n,"same"),t.bias)}function g1(e,t,n=!0){let a=n?Ke(e):e;return a=Gn(a,t.separable_conv0,[1,1]),a=Gn(Ke(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=X(a,jA(e,t.expansion_conv,[2,2])),a}function Upe(e,t){let n=Gn(Ke(e),t.separable_conv0,[1,1]);return n=Gn(Ke(n),t.separable_conv1,[1,1]),n=Gn(Ke(n),t.separable_conv2,[1,1]),n=X(n,e),n}var Zf=class extends hn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=ie(n.toBatchTensor(112,!0),"float32"),i=gr(r,[122.782,117.001,104.298]).div(255),o=Ke(jA(i,a.entry_flow.conv_in,[2,2]));return o=g1(o,a.entry_flow.reduction_block_0,!1),o=g1(o,a.entry_flow.reduction_block_1),fr(this._numMainBlocks,0,1).forEach(l=>{o=Upe(o,a.middle_flow[`main_block_${l}`])}),o=g1(o,a.exit_flow.reduction_block),o=Ke(Gn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await vt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return qA(n,this._numMainBlocks)}extractParams(n){return HA(n,this._numMainBlocks)}};function KA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=Uf(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function XA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var y1=(n=>(n.FEMALE="female",n.MALE="male",n))(y1||{});var Jf=class extends hn{constructor(n=new Zf(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Wr?this.faceFeatureExtractor.forwardInput(n):n,s=ya(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=dd(s,a.fc.age).as1D(),o=dd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Xa(r)}})}async forward(n){return this.forwardInput(await vt(n))}async predictAgeAndGender(n){let a=await vt(n),r=await this.forwardInput(a),s=lt(r.age),i=lt(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return KA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),XA(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var sp=class extends ap{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([bn([68],d,"float32"),bn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await vt(t))}async detectLandmarks(t){let n=await vt(t),a=P(()=>lt(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Df(d)),u=o.filter((p,d)=>!Df(d));return new ju(Array(68).fill(0).map((p,d)=>new Oe(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var ip=class extends sp{constructor(t=new np){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function YA(e){let t=[],{extractDenseBlock3Params:n}=qf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function ZA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=Gf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var Qf=class extends hn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=Vf(s,n.dense0,!0);return i=Vf(i,n.dense1),i=Vf(i,n.dense2),i=ya(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return YA(t)}extractParams(t){return ZA(t)}};var eg=class extends sp{constructor(t=new Qf){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var JA=class extends ip{};function QA(e,t){return X(z(e,t.weights),t.biases)}function b1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=Rt(e,s,n,r);return o=X(o,i),o=QA(o,t.scale),a?Ke(o):o}function e$(e,t){return b1(e,t,[1,1],!0)}function x1(e,t){return b1(e,t,[1,1],!1)}function tg(e,t){return b1(e,t,[2,2],!0,"valid")}function Gpe(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(i1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee(Ra(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=je(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=je(e(o)),p=je(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function t$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=Gpe(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),y=s(589824,256,3,"conv256_down",!0),b=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(Aa(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:y,conv256_1:b,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function Hpe(e,t){let n=ra(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function n$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Hpe(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),y=a("conv256_2"),b=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!s1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:y,conv256_down_out:b,fc:x};return An(e,t),{params:w,paramMappings:t}}function Ja(e,t){let n=e$(e,t.conv1);return n=x1(n,t.conv2),n=X(n,e),n=Ke(n),n}function md(e,t){let n=tg(e,t.conv1);n=x1(n,t.conv2);let a=ya(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=X(a,n),n=Ke(n),n}var op=class extends hn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(150,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=tg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Ja(i,n.conv32_1),i=Ja(i,n.conv32_2),i=Ja(i,n.conv32_3),i=md(i,n.conv64_down),i=Ja(i,n.conv64_1),i=Ja(i,n.conv64_2),i=Ja(i,n.conv64_3),i=md(i,n.conv128_down),i=Ja(i,n.conv128_1),i=Ja(i,n.conv128_2),i=md(i,n.conv256_down),i=Ja(i,n.conv256_1),i=Ja(i,n.conv256_2),i=md(i,n.conv256_down_out);let o=i.mean([1,2]);return Re(o,n.fc)})}async forward(t){return this.forwardInput(await vt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await vt(t),a=P(()=>lt(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return n$(t)}extractParams(t){return t$(t)}};function oIe(e){let t=new op;return t.extractWeights(e),t}function v1(e,t){return{...e,...{descriptor:t}}}function cIe(e){return typeof e.age=="number"}function w1(e,t){return{...e,...{age:t}}}function fIe(e){return(e.gender==="male"||e.gender==="female")&&Gu(e.genderProbability)}function k1(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function qpe(e,t){function n(l,u){let p=Ra(e(9*l),[3,3,l,1]),d=je(e(l)),c=je(e(l)),h=je(e(l)),m=je(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Ra(e(l*u*p*p),[p,p,l,u]),m=je(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),y=s(512,512,"mobilenetv1/conv_9"),b=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:y,conv_10:b,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),y=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),b=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),$=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:y},box_predictor_1:{box_encoding_predictor:b,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:$},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function a$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=qpe(n,t),i=r(),o=s(),u={extra_dim:zc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function jpe(e,t){let n=ra(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),y=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),b=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:y,batch_norm_variance:b},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function r$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=jpe(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Pr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function Pa(e,t,n){return P(()=>{let a=Rt(e,t.filters,n,"same");return a=X(a,t.batch_norm_offset),tn(a,0,6)})}var Kpe=.0010000000474974513;function Xpe(e,t,n){return P(()=>{let a=ws(e,t.filters,n,"same");return a=vs(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Kpe),tn(a,0,6)})}function Ype(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function s$(e,t){return P(()=>{let n,a=Pa(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=Ype(o);a=Xpe(a,s.depthwise_conv,l),a=Pa(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function Zpe(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),y=Math.min(o,d),b=Math.max(g-m,0)*Math.max(y-f,0);return b/(c+h-b)}function i$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=Zpe(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function Jpe(e){let t=lt(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[X(t[0],he(n[0],2)),X(t[1],he(n[1],2))];return{sizes:n,centers:a}}function Qpe(e,t){let{sizes:n,centers:a}=Jpe(e),r=lt(Ee(t,[1,0])),s=he(z(yn(he(r[2],5)),n[0]),2),i=X(z(he(r[0],10),n[0]),a[0]),o=he(z(yn(he(r[3],5)),n[1]),2),l=X(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),X(i,s),X(l,o)]),[1,0])}function o$(e,t,n){return P(()=>{let a=e.shape[0],r=Qpe(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=da(Ve(t,[0,0,1],[-1,-1,-1])),i=Ve(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=lt(r),l=lt(i);return{boxes:o,scores:l}})}function $o(e,t){return P(()=>{let n=e.shape[0],a=W(Ao(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(Ao(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function l$(e,t,n){return P(()=>{let a=Pa(e,n.conv_0,[1,1]),r=Pa(a,n.conv_1,[2,2]),s=Pa(r,n.conv_2,[1,1]),i=Pa(s,n.conv_3,[2,2]),o=Pa(i,n.conv_4,[1,1]),l=Pa(o,n.conv_5,[2,2]),u=Pa(l,n.conv_6,[1,1]),p=Pa(u,n.conv_7,[2,2]),d=$o(t,n.box_predictor_0),c=$o(e,n.box_predictor_1),h=$o(r,n.box_predictor_2),m=$o(i,n.box_predictor_3),f=$o(l,n.box_predictor_4),g=$o(p,n.box_predictor_5),y=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),b=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:y,classPredictions:b}})}var Oa=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Fo=class extends hn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=s$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=l$(s.out,s.conv11,n.prediction_layer);return o$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await vt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new Oa(n),s=await vt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,y[x][0]),Math.min(1,y[x][2])].map(E=>E*g),[T,C]=[Math.max(0,y[x][1]),Math.min(1,y[x][3])].map(E=>E*f);return new xt(p[x],new qu(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),b}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return r$(t)}extractParams(t){return a$(t)}};function ece(e){let t=new Fo;return t.extractWeights(e),t}function oSe(e){return ece(e)}var u$=class extends Fo{};var p$=.4,c$=[new Oe(.738768,.874946),new Oe(2.42204,2.65704),new Oe(4.30971,7.04493),new Oe(10.246,4.59428),new Oe(12.6868,11.8741)],d$=[new Oe(1.603231,2.094468),new Oe(6.041143,7.080126),new Oe(2.882459,3.518061),new Oe(4.266906,5.178857),new Oe(9.041765,10.66308)],h$=[117.001,114.697,97.404],m$="tiny_yolov2_model",f$="tiny_yolov2_separable_conv_model";var ng=e=>typeof e=="number";function g$(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!ng(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>ng(t.x)&&ng(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(ng)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function lp(e){return P(()=>{let t=z(e,xe(.10000000149011612));return X(Ke(pe(e,t)),t)})}function Br(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Rt(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=X(n,t.conv.bias),lp(n)})}function Vr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Is(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=X(n,t.bias),lp(n)})}function tce(e,t){let n=Qu(e,t);function a(i,o){let l=je(e(i)),u=je(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=ep(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function y$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=tce(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,y,b,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),$=u(g,y,"conv5"),R=b?u(y,b,"conv6"):void 0,F=x?u(b,x,"conv7"):void 0,S=o(x||b||y,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,y,b,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),$=l(g,y,"conv5"),R=l(y,b,"conv6"),F=l(b,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function nce(e,t){let n=ra(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=tp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function b$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=nce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var yr=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var I1=class extends hn{constructor(n){super("TinyYolov2");g$(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Br(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Br(r,a.conv6),r=Br(r,a.conv7),Ao(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?lp(Ao(n,a.conv0,"valid",!1)):Vr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Vr(r,a.conv6):r,r=a.conv7?Vr(r,a.conv7):r,Ao(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=ie(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?gr(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await vt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new yr(a),i=await vt(n),o=await this.forwardInput(i,r),l=P(()=>lt(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(y=>y.box),c=p.map(y=>y.score),h=p.map(y=>y.classScore),m=p.map(y=>this.config.classes[y.label]);return NA(d.map(y=>y.rescale(r)),c,this.config.iouThreshold,!0).map(y=>new _s(c[y],h[y],m[y],d[y],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return b$(n,this.config)}extractParams(n){let a=this.config.filterSizes||I1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return y$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let b=n.reshape([p,p,d,this.boxEncodingSize]),x=b.slice([0,0,0,0],[p,p,d,4]),w=b.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Xa(b.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):xe(0);return[x,w,I]}),f=[],g=await h.array(),y=await c.array();for(let b=0;br){let T=(x+Pf(y[b][x][w][0]))/p*l,C=(b+Pf(y[b][x][w][1]))/p*u,E=Math.exp(y[b][x][w][2])*this.config.anchors[w].x/p*l,$=Math.exp(y[b][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-$/2,S={row:b,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new Hu(R,F,R+E,F+$),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Ro=I1;Ro.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var up=class extends Ro{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:p$,classes:["face"],...t?{anchors:d$,meanRgb:h$}:{anchors:c$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?f$:m$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function JSe(e,t=!0){let n=new up(t);return n.extractWeights(e),n}var ag=class extends yr{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var La=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Do(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>rp(l)?r(l):l.detection),i=a||(t instanceof Ne?await ud(t,s):await ld(t,s)),o=await n(i);return i.forEach(l=>l instanceof Ne&&l.dispose()),o}async function pp(e,t,n,a,r){return Do([e],t,async s=>n(s[0]),a,r)}var x$=.4,v$=[new Oe(1.603231,2.094468),new Oe(6.041143,7.080126),new Oe(2.882459,3.518061),new Oe(4.266906,5.178857),new Oe(9.041765,10.66308)],w$=[117.001,114.697,97.404];var cp=class extends Ro{constructor(){let t={withSeparableConvs:!0,iouThreshold:x$,classes:["face"],anchors:v$,meanRgb:w$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var nt={ssdMobilenetv1:new Fo,tinyFaceDetector:new cp,tinyYolov2:new up,faceLandmark68Net:new ip,faceLandmark68TinyNet:new eg,faceRecognitionNet:new op,faceExpressionNet:new Kf,ageGenderNet:new Jf},ace=(e,t)=>nt.ssdMobilenetv1.locateFaces(e,t),_Te=(e,t)=>nt.tinyFaceDetector.locateFaces(e,t),ETe=(e,t)=>nt.tinyYolov2.locateFaces(e,t),rce=e=>nt.faceLandmark68Net.detectLandmarks(e),ATe=e=>nt.faceLandmark68TinyNet.detectLandmarks(e),$Te=e=>nt.faceRecognitionNet.computeFaceDescriptor(e),FTe=e=>nt.faceExpressionNet.predictExpressions(e),RTe=e=>nt.ageGenderNet.predictAgeAndGender(e),sce=e=>nt.ssdMobilenetv1.load(e),DTe=e=>nt.tinyFaceDetector.load(e),MTe=e=>nt.tinyYolov2.load(e),PTe=e=>nt.faceLandmark68Net.load(e),OTe=e=>nt.faceLandmark68TinyNet.load(e),LTe=e=>nt.faceRecognitionNet.load(e),zTe=e=>nt.faceExpressionNet.load(e),WTe=e=>nt.ageGenderNet.load(e),BTe=sce,VTe=ace,UTe=rce;var rg=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Mo=class extends rg{async run(){let t=await this.parentTask,n=await Do(t,this.input,async a=>Promise.all(a.map(r=>nt.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>f1(a,n[r]))}withAgeAndGender(){return new Oo(this,this.input)}},Po=class extends rg{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>nt.faceExpressionNet.predictExpressions(a),this.extractedFaces);return f1(t,n)}withAgeAndGender(){return new Lo(this,this.input)}},$s=class extends Mo{withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},Fs=class extends Po{withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var sg=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Oo=class extends sg{async run(){let t=await this.parentTask,n=await Do(t,this.input,async a=>Promise.all(a.map(r=>nt.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return w1(k1(a,i,o),s)})}withFaceExpressions(){return new Mo(this,this.input)}},Lo=class extends sg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await pp(t,this.input,s=>nt.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return w1(k1(t,a,r),n)}withFaceExpressions(){return new Po(this,this.input)}},Rs=class extends Oo{withFaceExpressions(){return new $s(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},Ds=class extends Lo{withFaceExpressions(){return new Fs(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var ig=class extends La{constructor(n,a){super();this.parentTask=n;this.input=a}},Ms=class extends ig{async run(){let t=await this.parentTask;return(await Do(t,this.input,a=>Promise.all(a.map(r=>nt.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>v1(t[r],a))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}},Ps=class extends ig{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>nt.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return v1(t,n)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}};var og=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?nt.faceLandmark68TinyNet:nt.faceLandmark68Net}},lg=class extends og{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Ne?await ud(this.input,n):await ld(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Ne&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>hd(i,r[o]))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},ug=class extends og{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Ne?await ud(this.input,[n]):await ld(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Ne&&s.dispose()),hd(t,r)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var pg=class extends La{constructor(n,a=new Oa){super();this.input=n;this.options=a}},fd=class extends pg{async run(){let{input:t,options:n}=this,a;if(n instanceof ag)a=nt.tinyFaceDetector.locateFaces(t,n);else if(n instanceof Oa)a=nt.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof yr)a=nt.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Ku({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new lg(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Mo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Oo(this.runAndExtendWithFaceDetections(),this.input)}},cg=class extends pg{async run(){let t=await new fd(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Ku({},n):void 0)})}withFaceLandmarks(t=!1){return new ug(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Po(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Lo(this.runAndExtendWithFaceDetection(),this.input)}};function WNe(e,t=new Oa){return new cg(e,t)}function S1(e,t=new Oa){return new fd(e,t)}async function ice(e,t){return S1(e,new Oa(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function qNe(e,t={}){return S1(e,new yr(t)).withFaceLandmarks().withFaceDescriptors()}var jNe=ice;function k$(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var dg=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof Or)return i;if(i instanceof Float32Array)return new Or(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Or(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>k$(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new rd(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>Or.fromJSON(a));return new dg(n,t.distanceThreshold)}};function c2e(e){let t=new cp;return t.extractWeights(e),t}function oce(e,t){let{width:n,height:a}=new En(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>oce(r,{width:n,height:a}));if(rp(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return hd(Ku(e,r),s)}return Lr(e)?Ku(e,e.detection.forSize(n,a)):e instanceof wa||e instanceof xt?e.forSize(n,a):e}var k2e=GA;export{Jf as AgeGenderNet,Hu as BoundingBox,ut as Box,La as ComposableTask,Ms as ComputeAllFaceDescriptorsTask,ig as ComputeFaceDescriptorsTaskBase,Ps as ComputeSingleFaceDescriptorTask,lg as DetectAllFaceLandmarksTask,fd as DetectAllFacesTask,og as DetectFaceLandmarksTaskBase,pg as DetectFacesTaskBase,ug as DetectSingleFaceLandmarksTask,cg as DetectSingleFaceTask,En as Dimensions,BA as FACE_EXPRESSION_LABELS,xt as FaceDetection,u$ as FaceDetectionNet,Kf as FaceExpressionNet,As as FaceExpressions,ip as FaceLandmark68Net,eg as FaceLandmark68TinyNet,JA as FaceLandmarkNet,wa as FaceLandmarks,_A as FaceLandmarks5,ju as FaceLandmarks68,rd as FaceMatch,dg as FaceMatcher,op as FaceRecognitionNet,y1 as Gender,sd as LabeledBox,Or as LabeledFaceDescriptors,Wr as NetInput,hn as NeuralNetwork,_s as ObjectDetection,Oe as Point,EA as PredictedBox,qu as Rect,Fo as SsdMobilenetv1,Oa as SsdMobilenetv1Options,cp as TinyFaceDetector,ag as TinyFaceDetectorOptions,up as TinyYolov2,yr as TinyYolov2Options,jNe as allFaces,ice as allFacesSsdMobilenetv1,qNe as allFacesTinyYolov2,AA as awaitMediaLoaded,$A as bufferToImage,$Te as computeFaceDescriptor,Ju as createCanvas,Wf as createCanvasFromMedia,oSe as createFaceDetectionNet,oIe as createFaceRecognitionNet,ece as createSsdMobilenetv1,c2e as createTinyFaceDetector,JSe as createTinyYolov2,S1 as detectAllFaces,rce as detectFaceLandmarks,ATe as detectFaceLandmarksTiny,UTe as detectLandmarks,WNe as detectSingleFace,UA as draw,tt as env,k$ as euclideanDistance,w1 as extendWithAge,v1 as extendWithFaceDescriptor,Ku as extendWithFaceDetection,f1 as extendWithFaceExpressions,hd as extendWithFaceLandmarks,k1 as extendWithGender,ud as extractFaceTensors,ld as extractFaces,yve as fetchImage,DA as fetchJson,kve as fetchNetWeights,Es as fetchOrThrow,_ve as fetchVideo,aa as getContext2dOrThrow,Zu as getMediaDimensions,FA as imageTensorToCanvas,RA as imageToSquare,Fye as inverseSigmoid,SA as iou,m1 as isMediaElement,zf as isMediaLoaded,cIe as isWithAge,Lr as isWithFaceDetection,VA as isWithFaceExpressions,rp as isWithFaceLandmarks,fIe as isWithGender,WTe as loadAgeGenderModel,BTe as loadFaceDetectionModel,zTe as loadFaceExpressionModel,PTe as loadFaceLandmarkModel,OTe as loadFaceLandmarkTinyModel,LTe as loadFaceRecognitionModel,sce as loadSsdMobilenetv1Model,DTe as loadTinyFaceDetectorModel,MTe as loadTinyYolov2Model,PA as loadWeightMap,VTe as locateFaces,Mve as matchDimensions,TA as minBbox,nt as nets,NA as nonMaxSuppression,gr as normalize,CA as padToSquare,RTe as predictAgeAndGender,FTe as recognizeFaceExpressions,oce as resizeResults,Xu as resolveInput,Aye as shuffleArray,Pf as sigmoid,ace as ssdMobilenetv1,ze as tf,_Te as tinyFaceDetector,ETe as tinyYolov2,vt as toNetInput,IA as utils,g$ as validateConfig,k2e as version}; + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=v.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;cA(i,o,l,u,c,m,g);let y=t.readSync(f.dataId),b;switch(y[0]){case 0:{b=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=N.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:b=""}if(t.disposeData(f.dataId),b)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(b);return[d,h]}var kue={kernelName:gu,backendName:"wasm",setupFunc:vue,kernelFunc:wue},dA;function hA(e){dA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function mA(e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),y=n.dataIdMap.get(g.dataId).id;dA(d,At[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Iue(e){return mA(e,!0)}var Sue={kernelName:mc,backendName:"wasm",setupFunc:hA,kernelFunc:Iue};function Tue(e){return mA(e,!1)}var Nue={kernelName:fc,backendName:"wasm",setupFunc:hA,kernelFunc:Tue};function Cue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=fi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var _ue={kernelName:fu,backendName:"wasm",kernelFunc:Cue},Eue=Ut(uo),Aue=Ut(gc),$ue=!0,Fue=dn(ho,$ue),fA;function Rue(e){fA=e.wasm.cwrap(bs,null,["number","number","number","number"])}function Due(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return fA(i,r,At[s.dtype],l),o}var Mue={kernelName:bs,backendName:"wasm",setupFunc:Rue,kernelFunc:Due},gA;function Pue(e){gA=e.wasm.cwrap(yu,null,["number","array","number","array","array","array","array","array","number","number"])}function Oue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=fi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),$=new Uint8Array(new Int32Array(b).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;gA(C,E,r.shape.length,$,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Lue={kernelName:yu,backendName:"wasm",setupFunc:Pue,kernelFunc:Oue};function zue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=P0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=m;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(f),[g,b]}var Wue={kernelName:yc,backendName:"wasm",kernelFunc:zue};function Bue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=O0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Vue={kernelName:bc,backendName:"wasm",kernelFunc:Bue};function Uue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=L0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var Gue={kernelName:xc,backendName:"wasm",kernelFunc:Uue},Hue=!0,que=dn(mo,Hue),yA;function jue(e){yA=e.wasm.cwrap(po,null,["number","number","number","number"])}function Kue(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Cs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;yA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var Xue={kernelName:po,backendName:"wasm",setupFunc:jue,kernelFunc:Kue},Yue=Ut(fo),Zue=Ut(go),bA;function Jue(e){bA=e.wasm.cwrap(ys,null,["number","array","number","array","number","number"])}function Que(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return xA(i,o,a.shape.length,At[a.dtype],r,s,p,c),[u,d]},ape={kernelName:bu,backendName:"wasm",setupFunc:tpe,kernelFunc:npe},vA;function rpe(e){vA=e.wasm.cwrap(xu,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function spe(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return vA(I,T,s.shape[0]>1,p,m,f,h,c,d,y,r.shape.length-1,b,g.length-1,C,E,l,w),x}var ipe={kernelName:xu,backendName:"wasm",setupFunc:rpe,kernelFunc:spe};function ope(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var lpe={kernelName:vu,backendName:"wasm",kernelFunc:ope};function upe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var ppe={kernelName:wu,backendName:"wasm",kernelFunc:upe},cpe=[Ose,Lse,Wse,Use,Zse,eie,aie,iie,pie,gie,yie,bie,wie,kie,Tie,_ie,Eie,Aie,Rie,Pie,zie,Vie,Hie,qie,Kie,Xie,Yie,Zie,eoe,toe,aoe,ioe,uoe,doe,foe,boe,voe,koe,Gse,Ioe,Noe,_oe,Aoe,$oe,Roe,Doe,Poe,Loe,Boe,Uoe,qoe,Xoe,Joe,ele,ale,sle,ile,ule,dle,fle,yle,vle,kle,Sle,QE,_le,$le,Dle,Ple,Lle,zle,Wle,Ble,oie,Gle,jle,Yle,Qle,eue,tue,rue,oue,pue,cue,mie,mue,gue,xue,kue,Sue,Nue,_ue,Eue,Aue,Fue,Mue,Lue,Wue,Vue,Gue,que,Xue,Yue,Zue,epe,ape,ipe,Kse,lpe,ppe];for(let e of cpe)wc(e);var mx=H();mx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});mx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(mx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var dI=hs(SF()),dpe=hs(TF()),hI=hs(NF()),mI=dI.default||dI,hpe=hI.default||hI,wA=class extends ac{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(kA),fx=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Hh(this,Ca())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return gpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function mpe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function fI(e,t,n){if(Uh!=null)return Uh;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Op!=null&&Op[a]!=null?Op[a]:n+a}async function fpe(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=dpe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?fI(e,t,Dp!=null?Dp:l):l+o},r1&&(r.instantiateWasm=mpe(fI(e,t,Dp!=null?Dp:"")));let s=!1;r.onAbort=()=>{s||Lp||(Lp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&Uh==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+mI.toString()],{type:"text/javascript"}),i=mI(r)):i=hpe(r),i.then(o=>{s=!0,Lp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function gpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var ype=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Uh=null,Dp=null,Op={},Lp=!1,r1=!1;function bpe(e,t=!1){if(_x("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Uh=e,r1=t}function xpe(e,t=!1){if(Lp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Dp=e;else{Op=e;let n=ype.filter(a=>Op[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}r1=t}var kA=-1,fx=-1;function vpe(e){kA=e}function wpe(){if(fx===-1)throw new Error("WASM backend not initialized.");return fx}var kpe="4.2.0",Ipe=2;Em("wasm",async()=>{let{wasm:e}=await fpe();return new wA(e)},Ipe);var gI="4.2.0",Spe="4.2.0",Tpe="4.2.0",Npe="4.2.0",Cpe="4.2.0",_pe={tfjs:gI,"tfjs-core":gI,"tfjs-converter":Spe,"tfjs-backend-cpu":Tpe,"tfjs-backend-webgl":Npe,"tfjs-backend-wasm":Cpe};var UA={};tb(UA,{AnchorPosition:()=>h1,DrawBox:()=>od,DrawBoxOptions:()=>Lf,DrawFaceLandmarks:()=>Yf,DrawFaceLandmarksOptions:()=>Xf,DrawTextField:()=>zr,DrawTextFieldOptions:()=>Yu,drawContour:()=>Mr,drawDetections:()=>Mpe,drawFaceExpressions:()=>Ppe,drawFaceLandmarks:()=>Lpe});function Mr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var IA={};tb(IA,{computeReshapedDimensions:()=>o1,getCenterPoint:()=>Eo,isDimensions:()=>Mf,isEven:()=>Df,isFloat:()=>i1,isTensor:()=>Co,isTensor1D:()=>Epe,isTensor2D:()=>s1,isTensor3D:()=>Pr,isTensor4D:()=>va,isValidNumber:()=>Za,isValidProbablitiy:()=>Gu,range:()=>fr,round:()=>_o});var En=class{constructor(t,n){if(!Za(t)||!Za(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new En(1/this.width,1/this.height)}};function Co(e,t){return e instanceof Ne&&e.shape.length===t}function Epe(e){return Co(e,1)}function s1(e){return Co(e,2)}function Pr(e){return Co(e,3)}function va(e){return Co(e,4)}function i1(e){return e%1!==0}function Df(e){return e%2===0}function _o(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Mf(e){return e&&e.width&&e.height}function o1({width:e,height:t},n){let a=n/Math.max(t,e);return new En(Math.round(e*a),Math.round(t*a))}function Eo(e){return e.reduce((t,n)=>t.add(n),new Oe(0,0)).div(new Oe(e.length,e.length))}function fr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Za(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function Gu(e){return Za(e)&&e>=0&&e<=1}var Oe=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new Oe(this.x+t.x,this.y+t.y)}sub(t){return new Oe(this.x-t.x,this.y-t.y)}mul(t){return new Oe(this.x*t.x,this.y*t.y)}div(t){return new Oe(this.x/t.x,this.y/t.y)}abs(){return new Oe(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new Oe(Math.floor(this.x),Math.floor(this.y))}};var ut=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Za)}static assertIsValidBox(t,n,a=!1){if(!ut.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Za),s=[a.x,a.y,a.width,a.height].every(Za);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];ut.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new Oe(this.left,this.top)}get topRight(){return new Oe(this.right,this.top)}get bottomLeft(){return new Oe(this.left,this.bottom)}get bottomRight(){return new Oe(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new ut({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new ut({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new ut({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Hu=class extends ut{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var _s=class{constructor(t,n,a,r,s){this._imageDims=new En(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new ut(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new ut(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new _s(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var xt=class extends _s{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new xt(a,r,s)}};function SA(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function TA(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function gr(e,t){return P(()=>{let[n,a,r]=t,s=bn([...e.shape.slice(0,3),1],n,"float32"),i=bn([...e.shape.slice(0,3),1],a,"float32"),o=bn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function CA(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,bn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>ie(c,"float32"));return Ze(d,i)})}function Aye(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function Pf(e){return 1/(1+Math.exp(-e))}function Fye(e){return Math.log(e/(1-e))}var qu=class extends ut{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var Ape=.5,$pe=.43,Fpe=.45,wa=class{constructor(t,n,a=new Oe(0,0)){let{width:r,height:s}=n;this._imgDims=new En(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new Oe(r,s)).add(a))}get shift(){return new Oe(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new Oe(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new Oe(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof xt?t.box.floor():new ut(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Fpe),l=Eo(t),u=Math.floor(Math.max(0,l.x-Ape*o)),p=Math.floor(Math.max(0,l.y-$pe*o));return new qu(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=TA(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var _A=class extends wa{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],Eo([t[3],t[4]])]}};var ju=class extends wa{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(Eo)}};var rd=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${_o(this.distance)})`:""}`}};var sd=class extends ut{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(ut.assertIsValidBox(n,a),!Za(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var Or=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new Or(t.label,n)}};var EA=class extends sd{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(sd.assertIsValidLabeledBox(n,a),!Gu(n.score)||!Gu(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function Lr(e){return e.detection instanceof xt}function Ku(e,t){return{...e,...{detection:t}}}function l1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function id(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Of(e){let t="";if(!e&&id())try{e=aF("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function u1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Of();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function p1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var sn;function Rpe(){if(!sn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return sn}function c1(e){sn=e}function d1(){return p1()?c1(l1()):id()?c1(u1()):null}function Dpe(e){if(sn||d1(),!sn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=sn.Canvas,Image:n=sn.Image}=e;sn.Canvas=t,sn.Image=n,sn.createCanvasElement=e.createCanvasElement||(()=>new t),sn.createImageElement=e.createImageElement||(()=>new n),sn.ImageData=e.ImageData||sn.ImageData,sn.Video=e.Video||sn.Video,sn.fetch=e.fetch||sn.fetch,sn.readFile=e.readFile||sn.readFile}var tt={getEnv:Rpe,setEnv:c1,initialize:d1,createBrowserEnv:l1,createFileSystem:Of,createNodejsEnv:u1,monkeyPatch:Dpe,isBrowser:p1,isNodejs:id};d1();function Xu(e){return!tt.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function aa(e){let{Canvas:t,CanvasRenderingContext2D:n}=tt.getEnv();if(e instanceof n)return e;let a=Xu(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var h1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(h1||{}),Yu=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},zr=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof zr?t.text:t,this.anchor=n,this.options=new Yu(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Lf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new Yu({...i,...s})}},od=class{constructor(t,n={}){this.box=new ut(t),this.options=new Lf(n)}draw(t){let n=aa(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new zr([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Mpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof xt?a.score:Lr(a)?a.detection.score:void 0,s=a instanceof xt?a.box:Lr(a)?a.detection.box:new ut(a),i=r?`${_o(r)}`:void 0;new od(s,{label:i}).draw(e)})}function zf(e){let{Image:t,Video:n}=tt.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function AA(e){return new Promise((t,n)=>{(e instanceof tt.getEnv().Canvas||zf(e))&&t(null);function a(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function $A(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=tt.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Zu(e){let{Image:t,Video:n}=tt.getEnv();return e instanceof t?new En(e.naturalWidth,e.naturalHeight):e instanceof n?new En(e.videoWidth,e.videoHeight):new En(e.width,e.height)}function Ju({width:e,height:t}){let{createCanvasElement:n}=tt.getEnv(),a=n();return a.width=e,a.height=t,a}function Wf(e,t){let{ImageData:n}=tt.getEnv();if(!(e instanceof n)&&!zf(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Zu(e),s=Ju({width:a,height:r});return e instanceof n?aa(s).putImageData(e,0,0):aa(s).drawImage(e,0,0,a,r),s}async function FA(e,t){let n=t||tt.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(va(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await vo.toPixels(i,n),i.dispose(),n}function m1(e){let{Image:t,Canvas:n,Video:a}=tt.getEnv();return e instanceof t||e instanceof n||e instanceof a}function RA(e,t,n=!1){let{Image:a,Canvas:r}=tt.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Ju({width:1,height:1});let s=Zu(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Ju({width:t,height:t}),p=e instanceof r?e:Wf(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&aa(u).drawImage(p,c,h,o,l),u}var Wr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(Pr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(va(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof tt.getEnv().Canvas?a:Wf(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return fr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return o1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=fr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Ne){let o=va(i)?i:Qt(i);return o=CA(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=Ea.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof tt.getEnv().Canvas)return vo.fromPixels(RA(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>ie(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function vt(e){if(e instanceof Wr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Xu);return a.forEach((r,s)=>{if(!m1(r)&&!Pr(r)&&!va(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(va(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>m1(r)&&AA(r))),new Wr(a,Array.isArray(e))}async function ld(e,t){let{Canvas:n}=tt.getEnv(),a=e;if(!(e instanceof n)){let i=await vt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await FA(o)}let r=aa(a);return t.map(i=>i instanceof xt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Ju({width:l,height:u});return l>0&&u>0&&aa(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function ud(e,t){if(!Pr(e)&&!va(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(va(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(va(e)?1:0);return t.map(o=>o instanceof xt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>bo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Es(e,t){let{fetch:n}=tt.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function yve(e){let t=await Es(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return $A(n)}async function DA(e){return(await Es(e)).json()}async function kve(e){return new Float32Array(await(await Es(e)).arrayBuffer())}function MA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=tt.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function _ve(e){let t=await Es(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return MA(n)}function Bf(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function PA(e,t){let{manifestUri:n,modelBaseUri:a}=Bf(e,t),r=await DA(n);return Ht.loadWeights(r,a)}function Mve(e,t,n=!1){let{width:a,height:r}=n?Zu(t):t;return e.width=a,e.height=r,{width:a,height:r}}var hn=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ss)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ss))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=fn(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await PA(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=tt.getEnv(),{manifestUri:a,modelBaseUri:r}=Bf(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ht.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Ne))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Gn(e,t,n){return P(()=>{let a=Is(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=X(a,t.bias),a})}function Vf(e,t,n=!1){return P(()=>{let a=Ke(n?X(Rt(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Gn(e,t.conv0,[2,2])),r=Gn(a,t.conv1,[1,1]),s=Ke(X(a,r)),i=Gn(s,t.conv2,[1,1]);return Ke(X(a,X(r,i)))})}function pd(e,t,n=!1,a=!0){return P(()=>{let r=Ke(n?X(Rt(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Gn(e,t.conv0,a?[2,2]:[1,1])),s=Gn(r,t.conv1,[1,1]),i=Ke(X(r,s)),o=Gn(i,t.conv2,[1,1]),l=Ke(X(r,X(s,o))),u=Gn(l,t.conv3,[1,1]);return Ke(X(r,X(s,X(o,u))))})}function Ao(e,t,n="same",a=!1){return P(()=>{let r=X(Rt(e,t.filters,[1,1],n),t.bias);return a?Ke(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function Qu(e,t){return(n,a,r,s)=>{let i=Ra(e(n*a*r*r),[r,r,n,a]),o=je(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function Uf(e,t){return(n,a,r)=>{let s=Aa(e(n*a),[n,a]),i=je(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var cd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function ep(e,t){return(n,a,r)=>{let s=Ra(e(9*n),[3,3,n,1]),i=Ra(e(n*a),[1,1,n,a]),o=je(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new cd(s,i,o)}}function tp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new cd(n,a,r)}}function ra(e,t){return(n,a,r)=>{let s=e[n];if(!Co(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function Gf(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function OA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=Gf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function Hf(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function qf(e,t){let n=ra(e,t),a=Hf(n),r=tp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function LA(e){let t=[],{extractDenseBlock4Params:n}=qf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var np=class extends hn{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=pd(s,n.dense0,!0);return i=pd(i,n.dense1),i=pd(i,n.dense2),i=pd(i,n.dense3),i=ya(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return LA(t)}extractParams(t){return OA(t)}};function dd(e,t){return P(()=>X(Re(e,t.weights),t.bias))}function zA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=Uf(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function WA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function jf(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var ap=class extends hn{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Wr?this.faceFeatureExtractor.forwardInput(n):n;return dd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return zA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),WA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var BA=["neutral","happy","sad","angry","fearful","disgusted","surprised"],As=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);BA.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return BA.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var Kf=class extends ap{constructor(t=new np){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Xa(this.runNet(t)))}async forward(t){return this.forwardInput(await vt(t))}async predictExpressions(t){let n=await vt(t),a=await this.forwardInput(n),r=await Promise.all(lt(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new As(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function VA(e){return e.expressions instanceof As}function f1(e,t){return{...e,...{expressions:t}}}function Ppe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof As?s:VA(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=Lr(s)?s.detection.box.bottomLeft:a||new Oe(0,0);new zr(l.map(d=>`${d.expression} (${_o(d.probability)})`),u).draw(e)})}function rp(e){return Lr(e)&&e.landmarks instanceof wa&&e.unshiftedLandmarks instanceof wa&&e.alignedRect instanceof xt}function Ope(e){let t=l=>l*180/Math.PI,n=(l,u)=>Math.sqrt((l._x-u._x)**2+(l._y-u._y)**2),a={roll:void 0,pitch:void 0,yaw:void 0},r=(l,u,p)=>{let d=Math.floor(l._x-u._x),c=Math.floor(u._x-p._x);return d-c},s=(l,u)=>{let p=Math.hypot(u._x-l._x,u._y-l._y),d=u._y-l._y,c=Math.asin(d/p),h=t(c),m=Math.floor(90-h),f=u._x-l._x<0?-1:1;return m*f},i=(l,u,p)=>{let d=n(l,p),c={_x:(l._x+p._x)/2,_y:(l._y+p._y)/2},h=n(u,c),m=Math.atan(h/d),f=Math.floor(t(m)),g=c._y-u._y<0?-1:1;return f*g};if(!e||!e._positions||e._positions.length!==68)return a;let o=e._positions;return a.roll=s(o[27],o[66]),a.pitch=i(o[14],o[30],o[2]),a.yaw=r(o[14],o[33],o[2]),a}function hd(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new xt(e.detection.score,r.rescale(s.reverse()),s),o=Ope(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var Xf=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},Yf=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new Xf(n)}draw(t){let n=aa(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof ju&&(n.strokeStyle=i,n.lineWidth=s,Mr(n,this.faceLandmarks.getJawOutline()),Mr(n,this.faceLandmarks.getLeftEyeBrow()),Mr(n,this.faceLandmarks.getRightEyeBrow()),Mr(n,this.faceLandmarks.getNose()),Mr(n,this.faceLandmarks.getLeftEye(),!0),Mr(n,this.faceLandmarks.getRightEye(),!0),Mr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function Lpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof wa?a:rp(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new Yf(r).draw(e)})}var GA="1.7.8";function Bpe(e,t){let n=Qu(e,t),a=ep(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function HA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=Bpe(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};fr(t,0,1).forEach(y=>{h[`main_block_${y}`]=l(128,`middle_flow/main_block_${y}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function Vpe(e,t){let n=ra(e,t),a=Hf(n),r=tp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function qA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=Vpe(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};fr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function jA(e,t,n){return X(Rt(e,t.filters,n,"same"),t.bias)}function g1(e,t,n=!0){let a=n?Ke(e):e;return a=Gn(a,t.separable_conv0,[1,1]),a=Gn(Ke(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=X(a,jA(e,t.expansion_conv,[2,2])),a}function Upe(e,t){let n=Gn(Ke(e),t.separable_conv0,[1,1]);return n=Gn(Ke(n),t.separable_conv1,[1,1]),n=Gn(Ke(n),t.separable_conv2,[1,1]),n=X(n,e),n}var Zf=class extends hn{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=ie(n.toBatchTensor(112,!0),"float32"),i=gr(r,[122.782,117.001,104.298]).div(255),o=Ke(jA(i,a.entry_flow.conv_in,[2,2]));return o=g1(o,a.entry_flow.reduction_block_0,!1),o=g1(o,a.entry_flow.reduction_block_1),fr(this._numMainBlocks,0,1).forEach(l=>{o=Upe(o,a.middle_flow[`main_block_${l}`])}),o=g1(o,a.exit_flow.reduction_block),o=Ke(Gn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await vt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return qA(n,this._numMainBlocks)}extractParams(n){return HA(n,this._numMainBlocks)}};function KA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=Uf(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function XA(e){let t=[],n=ra(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var y1=(n=>(n.FEMALE="female",n.MALE="male",n))(y1||{});var Jf=class extends hn{constructor(n=new Zf(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof Wr?this.faceFeatureExtractor.forwardInput(n):n,s=ya(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=dd(s,a.fc.age).as1D(),o=dd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Xa(r)}})}async forward(n){return this.forwardInput(await vt(n))}async predictAgeAndGender(n){let a=await vt(n),r=await this.forwardInput(a),s=lt(r.age),i=lt(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return KA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=jf(n);return this.faceFeatureExtractor.loadFromWeightMap(a),XA(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var sp=class extends ap{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([bn([68],d,"float32"),bn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await vt(t))}async detectLandmarks(t){let n=await vt(t),a=P(()=>lt(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Df(d)),u=o.filter((p,d)=>!Df(d));return new ju(Array(68).fill(0).map((p,d)=>new Oe(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var ip=class extends sp{constructor(t=new np){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function YA(e){let t=[],{extractDenseBlock3Params:n}=qf(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function ZA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=Gf(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var Qf=class extends hn{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=Vf(s,n.dense0,!0);return i=Vf(i,n.dense1),i=Vf(i,n.dense2),i=ya(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await vt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return YA(t)}extractParams(t){return ZA(t)}};var eg=class extends sp{constructor(t=new Qf){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var JA=class extends ip{};function QA(e,t){return X(z(e,t.weights),t.biases)}function b1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=Rt(e,s,n,r);return o=X(o,i),o=QA(o,t.scale),a?Ke(o):o}function e$(e,t){return b1(e,t,[1,1],!0)}function x1(e,t){return b1(e,t,[1,1],!1)}function tg(e,t){return b1(e,t,[2,2],!0,"valid")}function Gpe(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(i1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee(Ra(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=je(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=je(e(o)),p=je(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function t$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=Gpe(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),y=s(589824,256,3,"conv256_down",!0),b=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(Aa(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:y,conv256_1:b,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function Hpe(e,t){let n=ra(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function n$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Hpe(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),y=a("conv256_2"),b=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!s1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:y,conv256_down_out:b,fc:x};return An(e,t),{params:w,paramMappings:t}}function Ja(e,t){let n=e$(e,t.conv1);return n=x1(n,t.conv2),n=X(n,e),n=Ke(n),n}function md(e,t){let n=tg(e,t.conv1);n=x1(n,t.conv2);let a=ya(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=X(a,n),n=Ke(n),n}var op=class extends hn{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(150,!0),"float32"),s=gr(a,[122.782,117.001,104.298]).div(255),i=tg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Ja(i,n.conv32_1),i=Ja(i,n.conv32_2),i=Ja(i,n.conv32_3),i=md(i,n.conv64_down),i=Ja(i,n.conv64_1),i=Ja(i,n.conv64_2),i=Ja(i,n.conv64_3),i=md(i,n.conv128_down),i=Ja(i,n.conv128_1),i=Ja(i,n.conv128_2),i=md(i,n.conv256_down),i=Ja(i,n.conv256_1),i=Ja(i,n.conv256_2),i=md(i,n.conv256_down_out);let o=i.mean([1,2]);return Re(o,n.fc)})}async forward(t){return this.forwardInput(await vt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await vt(t),a=P(()=>lt(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return n$(t)}extractParams(t){return t$(t)}};function oIe(e){let t=new op;return t.extractWeights(e),t}function v1(e,t){return{...e,...{descriptor:t}}}function cIe(e){return typeof e.age=="number"}function w1(e,t){return{...e,...{age:t}}}function fIe(e){return(e.gender==="male"||e.gender==="female")&&Gu(e.genderProbability)}function k1(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function qpe(e,t){function n(l,u){let p=Ra(e(9*l),[3,3,l,1]),d=je(e(l)),c=je(e(l)),h=je(e(l)),m=je(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Ra(e(l*u*p*p),[p,p,l,u]),m=je(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),y=s(512,512,"mobilenetv1/conv_9"),b=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:y,conv_10:b,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),y=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),b=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),$=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:y},box_predictor_1:{box_encoding_predictor:b,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:$},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function a$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=qpe(n,t),i=r(),o=s(),u={extra_dim:zc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function jpe(e,t){let n=ra(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),y=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),b=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:y,batch_norm_variance:b},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function r$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=jpe(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!Pr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function Pa(e,t,n){return P(()=>{let a=Rt(e,t.filters,n,"same");return a=X(a,t.batch_norm_offset),tn(a,0,6)})}var Kpe=.0010000000474974513;function Xpe(e,t,n){return P(()=>{let a=ws(e,t.filters,n,"same");return a=vs(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,Kpe),tn(a,0,6)})}function Ype(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function s$(e,t){return P(()=>{let n,a=Pa(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=Ype(o);a=Xpe(a,s.depthwise_conv,l),a=Pa(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function Zpe(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),y=Math.min(o,d),b=Math.max(g-m,0)*Math.max(y-f,0);return b/(c+h-b)}function i$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=Zpe(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function Jpe(e){let t=lt(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[X(t[0],he(n[0],2)),X(t[1],he(n[1],2))];return{sizes:n,centers:a}}function Qpe(e,t){let{sizes:n,centers:a}=Jpe(e),r=lt(Ee(t,[1,0])),s=he(z(yn(he(r[2],5)),n[0]),2),i=X(z(he(r[0],10),n[0]),a[0]),o=he(z(yn(he(r[3],5)),n[1]),2),l=X(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),X(i,s),X(l,o)]),[1,0])}function o$(e,t,n){return P(()=>{let a=e.shape[0],r=Qpe(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=da(Ve(t,[0,0,1],[-1,-1,-1])),i=Ve(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=lt(r),l=lt(i);return{boxes:o,scores:l}})}function $o(e,t){return P(()=>{let n=e.shape[0],a=W(Ao(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(Ao(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function l$(e,t,n){return P(()=>{let a=Pa(e,n.conv_0,[1,1]),r=Pa(a,n.conv_1,[2,2]),s=Pa(r,n.conv_2,[1,1]),i=Pa(s,n.conv_3,[2,2]),o=Pa(i,n.conv_4,[1,1]),l=Pa(o,n.conv_5,[2,2]),u=Pa(l,n.conv_6,[1,1]),p=Pa(u,n.conv_7,[2,2]),d=$o(t,n.box_predictor_0),c=$o(e,n.box_predictor_1),h=$o(r,n.box_predictor_2),m=$o(i,n.box_predictor_3),f=$o(l,n.box_predictor_4),g=$o(p,n.box_predictor_5),y=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),b=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:y,classPredictions:b}})}var Oa=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Fo=class extends hn{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=s$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=l$(s.out,s.conv11,n.prediction_layer);return o$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await vt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new Oa(n),s=await vt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,y[x][0]),Math.min(1,y[x][2])].map(E=>E*g),[T,C]=[Math.max(0,y[x][1]),Math.min(1,y[x][3])].map(E=>E*f);return new xt(p[x],new qu(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),b}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return r$(t)}extractParams(t){return a$(t)}};function ece(e){let t=new Fo;return t.extractWeights(e),t}function oSe(e){return ece(e)}var u$=class extends Fo{};var p$=.4,c$=[new Oe(.738768,.874946),new Oe(2.42204,2.65704),new Oe(4.30971,7.04493),new Oe(10.246,4.59428),new Oe(12.6868,11.8741)],d$=[new Oe(1.603231,2.094468),new Oe(6.041143,7.080126),new Oe(2.882459,3.518061),new Oe(4.266906,5.178857),new Oe(9.041765,10.66308)],h$=[117.001,114.697,97.404],m$="tiny_yolov2_model",f$="tiny_yolov2_separable_conv_model";var ng=e=>typeof e=="number";function g$(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!ng(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>ng(t.x)&&ng(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(ng)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function lp(e){return P(()=>{let t=z(e,xe(.10000000149011612));return X(Ke(pe(e,t)),t)})}function Br(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Rt(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=X(n,t.conv.bias),lp(n)})}function Vr(e,t){return P(()=>{let n=ba(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Is(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=X(n,t.bias),lp(n)})}function tce(e,t){let n=Qu(e,t);function a(i,o){let l=je(e(i)),u=je(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=ep(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function y$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=tce(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,y,b,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),$=u(g,y,"conv5"),R=b?u(y,b,"conv6"):void 0,F=x?u(b,x,"conv7"):void 0,S=o(x||b||y,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,y,b,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),$=l(g,y,"conv5"),R=l(y,b,"conv6"),F=l(b,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function nce(e,t){let n=ra(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=tp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function b$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=nce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var yr=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var I1=class extends hn{constructor(n){super("TinyYolov2");g$(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Br(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Br(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Br(r,a.conv6),r=Br(r,a.conv7),Ao(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?lp(Ao(n,a.conv0,"valid",!1)):Vr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Vr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Vr(r,a.conv6):r,r=a.conv7?Vr(r,a.conv7):r,Ao(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=ie(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?gr(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await vt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new yr(a),i=await vt(n),o=await this.forwardInput(i,r),l=P(()=>lt(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(y=>y.box),c=p.map(y=>y.score),h=p.map(y=>y.classScore),m=p.map(y=>this.config.classes[y.label]);return NA(d.map(y=>y.rescale(r)),c,this.config.iouThreshold,!0).map(y=>new _s(c[y],h[y],m[y],d[y],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return b$(n,this.config)}extractParams(n){let a=this.config.filterSizes||I1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return y$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let b=n.reshape([p,p,d,this.boxEncodingSize]),x=b.slice([0,0,0,0],[p,p,d,4]),w=b.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Xa(b.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):xe(0);return[x,w,I]}),f=[],g=await h.array(),y=await c.array();for(let b=0;br){let T=(x+Pf(y[b][x][w][0]))/p*l,C=(b+Pf(y[b][x][w][1]))/p*u,E=Math.exp(y[b][x][w][2])*this.config.anchors[w].x/p*l,$=Math.exp(y[b][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-$/2,S={row:b,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new Hu(R,F,R+E,F+$),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Ro=I1;Ro.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var up=class extends Ro{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:p$,classes:["face"],...t?{anchors:d$,meanRgb:h$}:{anchors:c$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?f$:m$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function JSe(e,t=!0){let n=new up(t);return n.extractWeights(e),n}var ag=class extends yr{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var La=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Do(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>rp(l)?r(l):l.detection),i=a||(t instanceof Ne?await ud(t,s):await ld(t,s)),o=await n(i);return i.forEach(l=>l instanceof Ne&&l.dispose()),o}async function pp(e,t,n,a,r){return Do([e],t,async s=>n(s[0]),a,r)}var x$=.4,v$=[new Oe(1.603231,2.094468),new Oe(6.041143,7.080126),new Oe(2.882459,3.518061),new Oe(4.266906,5.178857),new Oe(9.041765,10.66308)],w$=[117.001,114.697,97.404];var cp=class extends Ro{constructor(){let t={withSeparableConvs:!0,iouThreshold:x$,classes:["face"],anchors:v$,meanRgb:w$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new xt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var nt={ssdMobilenetv1:new Fo,tinyFaceDetector:new cp,tinyYolov2:new up,faceLandmark68Net:new ip,faceLandmark68TinyNet:new eg,faceRecognitionNet:new op,faceExpressionNet:new Kf,ageGenderNet:new Jf},ace=(e,t)=>nt.ssdMobilenetv1.locateFaces(e,t),_Te=(e,t)=>nt.tinyFaceDetector.locateFaces(e,t),ETe=(e,t)=>nt.tinyYolov2.locateFaces(e,t),rce=e=>nt.faceLandmark68Net.detectLandmarks(e),ATe=e=>nt.faceLandmark68TinyNet.detectLandmarks(e),$Te=e=>nt.faceRecognitionNet.computeFaceDescriptor(e),FTe=e=>nt.faceExpressionNet.predictExpressions(e),RTe=e=>nt.ageGenderNet.predictAgeAndGender(e),sce=e=>nt.ssdMobilenetv1.load(e),DTe=e=>nt.tinyFaceDetector.load(e),MTe=e=>nt.tinyYolov2.load(e),PTe=e=>nt.faceLandmark68Net.load(e),OTe=e=>nt.faceLandmark68TinyNet.load(e),LTe=e=>nt.faceRecognitionNet.load(e),zTe=e=>nt.faceExpressionNet.load(e),WTe=e=>nt.ageGenderNet.load(e),BTe=sce,VTe=ace,UTe=rce;var rg=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Mo=class extends rg{async run(){let t=await this.parentTask,n=await Do(t,this.input,async a=>Promise.all(a.map(r=>nt.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>f1(a,n[r]))}withAgeAndGender(){return new Oo(this,this.input)}},Po=class extends rg{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>nt.faceExpressionNet.predictExpressions(a),this.extractedFaces);return f1(t,n)}withAgeAndGender(){return new Lo(this,this.input)}},$s=class extends Mo{withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},Fs=class extends Po{withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var sg=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Oo=class extends sg{async run(){let t=await this.parentTask,n=await Do(t,this.input,async a=>Promise.all(a.map(r=>nt.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return w1(k1(a,i,o),s)})}withFaceExpressions(){return new Mo(this,this.input)}},Lo=class extends sg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await pp(t,this.input,s=>nt.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return w1(k1(t,a,r),n)}withFaceExpressions(){return new Po(this,this.input)}},Rs=class extends Oo{withFaceExpressions(){return new $s(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},Ds=class extends Lo{withFaceExpressions(){return new Fs(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var ig=class extends La{constructor(n,a){super();this.parentTask=n;this.input=a}},Ms=class extends ig{async run(){let t=await this.parentTask;return(await Do(t,this.input,a=>Promise.all(a.map(r=>nt.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>v1(t[r],a))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}},Ps=class extends ig{async run(){let t=await this.parentTask;if(!t)return;let n=await pp(t,this.input,a=>nt.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return v1(t,n)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}};var og=class extends La{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?nt.faceLandmark68TinyNet:nt.faceLandmark68Net}},lg=class extends og{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Ne?await ud(this.input,n):await ld(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Ne&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>hd(i,r[o]))}withFaceExpressions(){return new $s(this,this.input)}withAgeAndGender(){return new Rs(this,this.input)}withFaceDescriptors(){return new Ms(this,this.input)}},ug=class extends og{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Ne?await ud(this.input,[n]):await ld(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Ne&&s.dispose()),hd(t,r)}withFaceExpressions(){return new Fs(this,this.input)}withAgeAndGender(){return new Ds(this,this.input)}withFaceDescriptor(){return new Ps(this,this.input)}};var pg=class extends La{constructor(n,a=new Oa){super();this.input=n;this.options=a}},fd=class extends pg{async run(){let{input:t,options:n}=this,a;if(n instanceof ag)a=nt.tinyFaceDetector.locateFaces(t,n);else if(n instanceof Oa)a=nt.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof yr)a=nt.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Ku({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new lg(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new Mo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Oo(this.runAndExtendWithFaceDetections(),this.input)}},cg=class extends pg{async run(){let t=await new fd(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Ku({},n):void 0)})}withFaceLandmarks(t=!1){return new ug(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Po(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Lo(this.runAndExtendWithFaceDetection(),this.input)}};function WNe(e,t=new Oa){return new cg(e,t)}function S1(e,t=new Oa){return new fd(e,t)}async function ice(e,t){return S1(e,new Oa(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function qNe(e,t={}){return S1(e,new yr(t)).withFaceLandmarks().withFaceDescriptors()}var jNe=ice;function k$(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var dg=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof Or)return i;if(i instanceof Float32Array)return new Or(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new Or(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>k$(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new rd(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>Or.fromJSON(a));return new dg(n,t.distanceThreshold)}};function c2e(e){let t=new cp;return t.extractWeights(e),t}function oce(e,t){let{width:n,height:a}=new En(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>oce(r,{width:n,height:a}));if(rp(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return hd(Ku(e,r),s)}return Lr(e)?Ku(e,e.detection.forSize(n,a)):e instanceof wa||e instanceof xt?e.forSize(n,a):e}var k2e=GA;export{Jf as AgeGenderNet,Hu as BoundingBox,ut as Box,La as ComposableTask,Ms as ComputeAllFaceDescriptorsTask,ig as ComputeFaceDescriptorsTaskBase,Ps as ComputeSingleFaceDescriptorTask,lg as DetectAllFaceLandmarksTask,fd as DetectAllFacesTask,og as DetectFaceLandmarksTaskBase,pg as DetectFacesTaskBase,ug as DetectSingleFaceLandmarksTask,cg as DetectSingleFaceTask,En as Dimensions,BA as FACE_EXPRESSION_LABELS,xt as FaceDetection,u$ as FaceDetectionNet,Kf as FaceExpressionNet,As as FaceExpressions,ip as FaceLandmark68Net,eg as FaceLandmark68TinyNet,JA as FaceLandmarkNet,wa as FaceLandmarks,_A as FaceLandmarks5,ju as FaceLandmarks68,rd as FaceMatch,dg as FaceMatcher,op as FaceRecognitionNet,y1 as Gender,sd as LabeledBox,Or as LabeledFaceDescriptors,Wr as NetInput,hn as NeuralNetwork,_s as ObjectDetection,Oe as Point,EA as PredictedBox,qu as Rect,Fo as SsdMobilenetv1,Oa as SsdMobilenetv1Options,cp as TinyFaceDetector,ag as TinyFaceDetectorOptions,up as TinyYolov2,yr as TinyYolov2Options,jNe as allFaces,ice as allFacesSsdMobilenetv1,qNe as allFacesTinyYolov2,AA as awaitMediaLoaded,$A as bufferToImage,$Te as computeFaceDescriptor,Ju as createCanvas,Wf as createCanvasFromMedia,oSe as createFaceDetectionNet,oIe as createFaceRecognitionNet,ece as createSsdMobilenetv1,c2e as createTinyFaceDetector,JSe as createTinyYolov2,S1 as detectAllFaces,rce as detectFaceLandmarks,ATe as detectFaceLandmarksTiny,UTe as detectLandmarks,WNe as detectSingleFace,UA as draw,tt as env,k$ as euclideanDistance,w1 as extendWithAge,v1 as extendWithFaceDescriptor,Ku as extendWithFaceDetection,f1 as extendWithFaceExpressions,hd as extendWithFaceLandmarks,k1 as extendWithGender,ud as extractFaceTensors,ld as extractFaces,yve as fetchImage,DA as fetchJson,kve as fetchNetWeights,Es as fetchOrThrow,_ve as fetchVideo,aa as getContext2dOrThrow,Zu as getMediaDimensions,FA as imageTensorToCanvas,RA as imageToSquare,Fye as inverseSigmoid,SA as iou,m1 as isMediaElement,zf as isMediaLoaded,cIe as isWithAge,Lr as isWithFaceDetection,VA as isWithFaceExpressions,rp as isWithFaceLandmarks,fIe as isWithGender,WTe as loadAgeGenderModel,BTe as loadFaceDetectionModel,zTe as loadFaceExpressionModel,PTe as loadFaceLandmarkModel,OTe as loadFaceLandmarkTinyModel,LTe as loadFaceRecognitionModel,sce as loadSsdMobilenetv1Model,DTe as loadTinyFaceDetectorModel,MTe as loadTinyYolov2Model,PA as loadWeightMap,VTe as locateFaces,Mve as matchDimensions,TA as minBbox,nt as nets,NA as nonMaxSuppression,gr as normalize,CA as padToSquare,RTe as predictAgeAndGender,FTe as recognizeFaceExpressions,oce as resizeResults,Xu as resolveInput,Aye as shuffleArray,Pf as sigmoid,ace as ssdMobilenetv1,ze as tf,_Te as tinyFaceDetector,ETe as tinyYolov2,vt as toNetInput,IA as utils,g$ as validateConfig,k2e as version}; //# sourceMappingURL=face-api.esm.js.map diff --git a/dist/face-api.esm.js.map b/dist/face-api.esm.js.map index e9a67e5..ccb779c 100644 --- a/dist/face-api.esm.js.map +++ b/dist/face-api.esm.js.map @@ -1,7 +1,7 @@ { "version": 3, - "sources": ["tfjs.esm.js", "../src/draw/index.ts", "../src/draw/drawContour.ts", "../src/utils/index.ts", "../src/classes/Dimensions.ts", "../src/classes/Point.ts", "../src/classes/Box.ts", "../src/classes/BoundingBox.ts", "../src/classes/ObjectDetection.ts", "../src/classes/FaceDetection.ts", "../src/ops/iou.ts", "../src/ops/minBbox.ts", "../src/ops/nonMaxSuppression.ts", "../src/ops/normalize.ts", "../src/ops/padToSquare.ts", "../src/ops/shuffleArray.ts", "../src/ops/index.ts", "../src/classes/Rect.ts", "../src/classes/FaceLandmarks.ts", "../src/classes/FaceLandmarks5.ts", "../src/classes/FaceLandmarks68.ts", "../src/classes/FaceMatch.ts", "../src/classes/LabeledBox.ts", "../src/classes/LabeledFaceDescriptors.ts", "../src/classes/PredictedBox.ts", "../src/factories/WithFaceDetection.ts", "../src/env/createBrowserEnv.ts", "../src/env/isNodejs.ts", "../src/env/createFileSystem.ts", "../src/env/createNodejsEnv.ts", "../src/env/isBrowser.ts", "../src/env/index.ts", "../src/dom/resolveInput.ts", "../src/dom/getContext2dOrThrow.ts", "../src/draw/DrawTextField.ts", "../src/draw/DrawBox.ts", "../src/draw/drawDetections.ts", "../src/dom/isMediaLoaded.ts", "../src/dom/awaitMediaLoaded.ts", "../src/dom/bufferToImage.ts", "../src/dom/getMediaDimensions.ts", "../src/dom/createCanvas.ts", "../src/dom/imageTensorToCanvas.ts", "../src/dom/isMediaElement.ts", "../src/dom/imageToSquare.ts", "../src/dom/NetInput.ts", "../src/dom/toNetInput.ts", "../src/dom/extractFaces.ts", "../src/dom/extractFaceTensors.ts", "../src/dom/fetchOrThrow.ts", "../src/dom/fetchImage.ts", "../src/dom/fetchJson.ts", "../src/dom/fetchNetWeights.ts", "../src/dom/bufferToVideo.ts", "../src/dom/fetchVideo.ts", "../src/common/getModelUris.ts", "../src/dom/loadWeightMap.ts", "../src/dom/matchDimensions.ts", "../src/NeuralNetwork.ts", "../src/common/depthwiseSeparableConv.ts", "../src/faceFeatureExtractor/denseBlock.ts", "../src/common/convLayer.ts", "../src/common/disposeUnusedWeightTensors.ts", "../src/common/extractConvParamsFactory.ts", "../src/common/extractFCParamsFactory.ts", "../src/common/types.ts", "../src/common/extractSeparableConvParamsFactory.ts", "../src/common/extractWeightEntryFactory.ts", "../src/common/extractWeightsFactory.ts", "../src/faceFeatureExtractor/extractorsFactory.ts", "../src/faceFeatureExtractor/extractParams.ts", "../src/common/loadConvParamsFactory.ts", "../src/faceFeatureExtractor/loadParamsFactory.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMap.ts", "../src/faceFeatureExtractor/FaceFeatureExtractor.ts", "../src/common/fullyConnectedLayer.ts", "../src/faceProcessor/extractParams.ts", "../src/faceProcessor/extractParamsFromWeightMap.ts", "../src/faceProcessor/util.ts", "../src/faceProcessor/FaceProcessor.ts", "../src/faceExpressionNet/FaceExpressions.ts", "../src/faceExpressionNet/FaceExpressionNet.ts", "../src/factories/WithFaceExpressions.ts", "../src/draw/drawFaceExpressions.ts", "../src/factories/WithFaceLandmarks.ts", "../src/draw/DrawFaceLandmarks.ts", "../src/xception/extractParams.ts", "../src/xception/extractParamsFromWeightMap.ts", "../src/xception/TinyXception.ts", "../src/ageGenderNet/extractParams.ts", "../src/ageGenderNet/extractParamsFromWeightMap.ts", "../src/ageGenderNet/types.ts", "../src/ageGenderNet/AgeGenderNet.ts", "../src/faceLandmarkNet/FaceLandmark68NetBase.ts", "../src/faceLandmarkNet/FaceLandmark68Net.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts", "../src/faceFeatureExtractor/extractParamsTiny.ts", "../src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts", "../src/faceLandmarkNet/FaceLandmark68TinyNet.ts", "../src/faceLandmarkNet/index.ts", "../src/faceRecognitionNet/scaleLayer.ts", "../src/faceRecognitionNet/convLayer.ts", "../src/faceRecognitionNet/extractParams.ts", "../src/faceRecognitionNet/extractParamsFromWeightMap.ts", "../src/faceRecognitionNet/residualLayer.ts", "../src/faceRecognitionNet/FaceRecognitionNet.ts", "../src/faceRecognitionNet/index.ts", "../src/factories/WithFaceDescriptor.ts", "../src/factories/WithAge.ts", "../src/factories/WithGender.ts", "../src/ssdMobilenetv1/extractParams.ts", "../src/ssdMobilenetv1/extractParamsFromWeightMap.ts", "../src/ssdMobilenetv1/pointwiseConvLayer.ts", "../src/ssdMobilenetv1/mobileNetV1.ts", "../src/ssdMobilenetv1/nonMaxSuppression.ts", "../src/ssdMobilenetv1/outputLayer.ts", "../src/ssdMobilenetv1/boxPredictionLayer.ts", "../src/ssdMobilenetv1/predictionLayer.ts", "../src/ssdMobilenetv1/SsdMobilenetv1Options.ts", "../src/ssdMobilenetv1/SsdMobilenetv1.ts", "../src/ssdMobilenetv1/index.ts", "../src/tinyYolov2/const.ts", "../src/tinyYolov2/config.ts", "../src/tinyYolov2/leaky.ts", "../src/tinyYolov2/convWithBatchNorm.ts", "../src/tinyYolov2/depthwiseSeparableConv.ts", "../src/tinyYolov2/extractParams.ts", "../src/tinyYolov2/extractParamsFromWeightMap.ts", "../src/tinyYolov2/TinyYolov2Options.ts", "../src/tinyYolov2/TinyYolov2Base.ts", "../src/tinyYolov2/TinyYolov2.ts", "../src/tinyYolov2/index.ts", "../src/tinyFaceDetector/TinyFaceDetectorOptions.ts", "../src/globalApi/ComposableTask.ts", "../src/globalApi/extractFacesAndComputeResults.ts", "../src/tinyFaceDetector/const.ts", "../src/tinyFaceDetector/TinyFaceDetector.ts", "../src/globalApi/nets.ts", "../src/globalApi/PredictFaceExpressionsTask.ts", "../src/globalApi/PredictAgeAndGenderTask.ts", "../src/globalApi/ComputeFaceDescriptorsTasks.ts", "../src/globalApi/DetectFaceLandmarksTasks.ts", "../src/globalApi/DetectFacesTasks.ts", "../src/globalApi/detectFaces.ts", "../src/globalApi/allFaces.ts", "../src/euclideanDistance.ts", "../src/globalApi/FaceMatcher.ts", "../src/tinyFaceDetector/index.ts", "../src/resizeResults.ts", "../src/index.ts"], - "sourcesContent": ["/*\n Face-API\n homepage: \n author: '\n*/\n\nvar OU=Object.create;var r0=Object.defineProperty;var PU=Object.getOwnPropertyDescriptor;var LU=Object.getOwnPropertyNames;var MU=Object.getPrototypeOf,zU=Object.prototype.hasOwnProperty;var br=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Ut=(r,t)=>{for(var e in t)r0(r,e,{get:t[e],enumerable:!0})},BU=(r,t,e,n)=>{if(t&&typeof t==\"object\"||typeof t==\"function\")for(let o of LU(t))!zU.call(r,o)&&o!==e&&r0(r,o,{get:()=>t[o],enumerable:!(n=PU(t,o))||n.enumerable});return r};var El=(r,t,e)=>(e=r!=null?OU(MU(r)):{},BU(t||!r||!r.__esModule?r0(e,\"default\",{value:r,enumerable:!0}):e,r));var T1=br((Plt,N1)=>{N1.exports=Ue;var fo=null;try{fo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,\"__isLong__\",{value:!0});function Pn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Pn;var g1={},x1={};function Pu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=Pu;function ho(r,t){if(isNaN(r))return t?Ou:go;if(t){if(r<0)return Ou;if(r>=C1)return S1}else{if(r<=-b1)return On;if(r+1>=b1)return v1}return r<0?ho(-r,t).neg():He(r%Gp|0,r/Gp|0,t)}Ue.fromNumber=ho;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Vg=Math.pow;function h0(r,t,e){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return go;if(typeof t==\"number\"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error(\"interior hyphen\");if(n===0)return h0(r.substring(1),t,e).neg();for(var o=ho(Vg(e,8)),s=go,i=0;i>>0:this.low};xt.toNumber=function(){return this.unsigned?(this.high>>>0)*Gp+(this.low>>>0):this.high*Gp+(this.low>>>0)};xt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c=\"0\"+c;a=\"\"+c+a}};xt.getHighBits=function(){return this.high};xt.getHighBitsUnsigned=function(){return this.high>>>0};xt.getLowBits=function(){return this.low};xt.getLowBitsUnsigned=function(){return this.low>>>0};xt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(On)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};xt.isOdd=function(){return(this.low&1)===1};xt.isEven=function(){return(this.low&1)===0};xt.equals=function(t){return Pn(t)||(t=Ms(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};xt.eq=xt.equals;xt.notEquals=function(t){return!this.eq(t)};xt.neq=xt.notEquals;xt.ne=xt.notEquals;xt.lessThan=function(t){return this.comp(t)<0};xt.lt=xt.lessThan;xt.lessThanOrEqual=function(t){return this.comp(t)<=0};xt.lte=xt.lessThanOrEqual;xt.le=xt.lessThanOrEqual;xt.greaterThan=function(t){return this.comp(t)>0};xt.gt=xt.greaterThan;xt.greaterThanOrEqual=function(t){return this.comp(t)>=0};xt.gte=xt.greaterThanOrEqual;xt.ge=xt.greaterThanOrEqual;xt.compare=function(t){if(Pn(t)||(t=Ms(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};xt.comp=xt.compare;xt.negate=function(){return!this.unsigned&&this.eq(On)?On:this.not().add(Vp)};xt.neg=xt.negate;xt.add=function(t){Pn(t)||(t=Ms(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};xt.subtract=function(t){return Pn(t)||(t=Ms(t)),this.add(t.neg())};xt.sub=xt.subtract;xt.multiply=function(t){if(this.isZero())return go;if(Pn(t)||(t=Ms(t)),fo){var e=fo.mul(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(t.isZero())return go;if(this.eq(On))return t.isOdd()?On:go;if(t.eq(On))return this.isOdd()?On:go;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return ho(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};xt.mul=xt.multiply;xt.divide=function(t){if(Pn(t)||(t=Ms(t)),t.isZero())throw Error(\"division by zero\");if(fo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?fo.div_u:fo.div_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ou:go;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Ou;if(t.gt(this.shru(1)))return I1;s=Ou}else{if(this.eq(On)){if(t.eq(Vp)||t.eq(d0))return On;if(t.eq(On))return Vp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(go)?t.isNegative()?Vp:d0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(On))return this.unsigned?Ou:go;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=go}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Vg(2,a-48),l=ho(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=ho(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Vp),s=s.add(l),o=o.sub(c)}return s};xt.div=xt.divide;xt.modulo=function(t){if(Pn(t)||(t=Ms(t)),fo){var e=(this.unsigned?fo.rem_u:fo.rem_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};xt.mod=xt.modulo;xt.rem=xt.modulo;xt.not=function(){return He(~this.low,~this.high,this.unsigned)};xt.and=function(t){return Pn(t)||(t=Ms(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};xt.or=function(t){return Pn(t)||(t=Ms(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};xt.xor=function(t){return Pn(t)||(t=Ms(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};xt.shiftLeft=function(t){return Pn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};xt.shr=xt.shiftRight;xt.shiftRightUnsigned=function(t){if(Pn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};xt.shru=xt.shiftRightUnsigned;xt.shr_u=xt.shiftRightUnsigned;xt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};xt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};xt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};xt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};xt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=br(()=>{});var aE=br(()=>{});var PE=br((OE,j0)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(\" \"),u.s1=l(\" \"),u.s2=l(\" \"),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c==\"object\"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(OE,typeof j0==\"object\"&&j0,typeof define==\"function\"&&define)});var ME=br((LE,X0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(LE,typeof X0==\"object\"&&X0,typeof define==\"function\"&&define)});var BE=br((zE,Y0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(zE,typeof Y0==\"object\"&&Y0,typeof define==\"function\"&&define)});var GE=br((VE,Z0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=\"\"+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(VE,typeof Z0==\"object\"&&Z0,typeof define==\"function\"&&define)});var UE=br((WE,J0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(WE,typeof J0==\"object\"&&J0,typeof define==\"function\"&&define)});var qE=br((HE,Q0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(HE,typeof Q0==\"object\"&&Q0,typeof define==\"function\"&&define)});var KE=br(()=>{});var XE=br((jE,Gx)=>{(function(r,t,e){var n=256,o=6,s=52,i=\"random\",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,\"global\"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var $K=PE(),DK=ME(),RK=BE(),FK=GE(),OK=UE(),PK=qE(),Ku=XE();Ku.alea=$K;Ku.xor128=DK;Ku.xorwow=RK;Ku.xorshift7=FK;Ku.xor4096=OK;Ku.tychei=PK;YE.exports=Ku});var wN=br(()=>{});var Zb=br(()=>{});var Mk=br(()=>{});var WW=br(()=>{});var UW=br(()=>{});var HW=br(()=>{});var qW=br((fI,Bk)=>{var zk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};function e(){return st.buffer!=ee&&je(st.buffer),ge}function n(){return st.buffer!=ee&&je(st.buffer),fe}function o(){return st.buffer!=ee&&je(st.buffer),Ae}function s(){return st.buffer!=ee&&je(st.buffer),$n}function i(){return st.buffer!=ee&&je(st.buffer),ar}function a(){return st.buffer!=ee&&je(st.buffer),qn}function u(){return st.buffer!=ee&&je(st.buffer),zr}var l=typeof t!=\"undefined\"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var f=Object.assign({},l),d=[],h=\"./this.program\",g=(L,U)=>{throw U},x=typeof window==\"object\",b=typeof importScripts==\"function\",w=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",C=l.ENVIRONMENT_IS_PTHREAD||!1,N=\"\";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof _u)return;X(\"exiting due to exception: \"+L)}if(w){var G=Zb(),W=Mk();b?N=W.dirname(N)+\"/\":N=__dirname+\"/\",A=(U,dt)=>(U=Zc(U)?new URL(U):W.normalize(U),G.readFileSync(U,dt?void 0:\"utf8\")),F=U=>{var dt=A(U,!0);return dt.buffer||(dt=new Uint8Array(dt)),dt},$=(U,dt,Lt)=>{U=Zc(U)?new URL(U):W.normalize(U),G.readFile(U,function(Yt,Xt){Yt?Lt(Yt):dt(Xt.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),d=process.argv.slice(2),process.on(\"uncaughtException\",function(U){if(!(U instanceof _u))throw U}),process.on(\"unhandledRejection\",function(U){throw U}),g=(U,dt)=>{if(Mo())throw process.exitCode=U,dt;V(dt),process.exit(U)},l.inspect=function(){return\"[Emscripten Module object]\"};let L;try{L=WW()}catch(U){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(N=document.currentScript.src),typeof r!=\"undefined\"&&r&&(N=r),N.indexOf(\"blob:\")!==0?N=N.substr(0,N.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):N=\"\",w||(A=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.responseType=\"arraybuffer\",U.send(null),new Uint8Array(U.response)}),$=(L,U,dt)=>{var Lt=new XMLHttpRequest;Lt.open(\"GET\",L,!0),Lt.responseType=\"arraybuffer\",Lt.onload=()=>{if(Lt.status==200||Lt.status==0&&Lt.response){U(Lt.response);return}dt()},Lt.onerror=dt,Lt.send(null)}),P=L=>document.title=L);w&&typeof performance==\"undefined\"&&(global.performance=UW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+`\n`),H=L=>G.writeSync(2,L+`\n`));var K=l.print||q,X=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Eu(\"no native wasm support detected\");var st,ft,gt=!1,Ct;function $t(L,U){L||Eu(U)}var _t=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Gt(L,U,dt){for(var Lt=U+dt,Yt=U;L[Yt]&&!(Yt>=Lt);)++Yt;if(Yt-U>16&&L.buffer&&_t)return _t.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,Yt):L.subarray(U,Yt));for(var Xt=\"\";U>10,56320|Yn&1023)}}return Xt}function Wt(L,U){return L?Gt(n(),L,U):\"\"}function ue(L,U,dt,Lt){if(!(Lt>0))return 0;for(var Yt=dt,Xt=dt+Lt-1,yt=0;yt=55296&&At<=57343){var nr=L.charCodeAt(++yt);At=65536+((At&1023)<<10)|nr&1023}if(At<=127){if(dt>=Xt)break;U[dt++]=At}else if(At<=2047){if(dt+1>=Xt)break;U[dt++]=192|At>>6,U[dt++]=128|At&63}else if(At<=65535){if(dt+2>=Xt)break;U[dt++]=224|At>>12,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}else{if(dt+3>=Xt)break;U[dt++]=240|At>>18,U[dt++]=128|At>>12&63,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}}return U[dt]=0,dt-Yt}function he(L,U,dt){return ue(L,n(),U,dt)}var ee,ge,fe,Ae,$e,$n,ar,qn,zr;C&&(ee=l.buffer);function je(L){ee=L,l.HEAP8=ge=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=$n=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=$e=new Uint16Array(L),l.HEAPU32=ar=new Uint32Array(L),l.HEAPF32=qn=new Float32Array(L),l.HEAPF64=zr=new Float64Array(L)}var Br=l.INITIAL_MEMORY||16777216;if(C)st=l.wasmMemory,ee=l.buffer;else if(l.wasmMemory)st=l.wasmMemory;else if(st=new WebAssembly.Memory({initial:Br/65536,maximum:32768,shared:!0}),!(st.buffer instanceof SharedArrayBuffer))throw X(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),w&&X(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)\"),Error(\"bad memory\");st&&(ee=st.buffer),Br=ee.byteLength,je(ee);var Vr,Kn=[],jn=[],Zr=[],ea=!1;function Mo(){return nt}function si(){if(l.preRun)for(typeof l.preRun==\"function\"&&(l.preRun=[l.preRun]);l.preRun.length;)Od(l.preRun.shift());Md(Kn)}function Er(){ea=!0,!C&&Md(jn)}function ra(){if(!C){if(l.postRun)for(typeof l.postRun==\"function\"&&(l.postRun=[l.postRun]);l.postRun.length;)Kk(l.postRun.shift());Md(Zr)}}function Od(L){Kn.unshift(L)}function Pd(L){jn.unshift(L)}function Kk(L){Zr.unshift(L)}var Nl=0,Yc=null,na=null;function gI(L){Nl++,l.monitorRunDependencies&&l.monitorRunDependencies(Nl)}function mg(L){if(Nl--,l.monitorRunDependencies&&l.monitorRunDependencies(Nl),Nl==0&&(Yc!==null&&(clearInterval(Yc),Yc=null),na)){var U=na;na=null,U()}}function Eu(L){l.onAbort&&l.onAbort(L),L=\"Aborted(\"+L+\")\",X(L),gt=!0,Ct=1,L+=\". Build with -sASSERTIONS for more info.\";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var xI=\"data:application/octet-stream;base64,\";function fg(L){return L.startsWith(xI)}function Zc(L){return L.startsWith(\"file://\")}var Jr;Jr=\"tfjs-backend-wasm-threaded-simd.wasm\",fg(Jr)||(Jr=_(Jr));function dg(L){try{if(L==Jr&&at)return new Uint8Array(at);if(F)return F(L);throw\"both async and sync fetching of the wasm failed\"}catch(U){Eu(U)}}function yI(){if(!at&&(x||b)){if(typeof fetch==\"function\"&&!Zc(Jr))return fetch(Jr,{credentials:\"same-origin\"}).then(function(L){if(!L.ok)throw\"failed to load wasm binary file at '\"+Jr+\"'\";return L.arrayBuffer()}).catch(function(){return dg(Jr)});if($)return new Promise(function(L,U){$(Jr,function(dt){L(new Uint8Array(dt))},U)})}return Promise.resolve().then(function(){return dg(Jr)})}function bI(){var L={env:kg,wasi_snapshot_preview1:kg};function U(yt,At){var nr=yt.exports;if(l.asm=nr,EI(l.asm._emscripten_tls_init),Vr=l.asm.__indirect_function_table,Pd(l.asm.__wasm_call_ctors),ft=At,!C){var Yn=jt.unusedWorkers.length;jt.unusedWorkers.forEach(function(sa){jt.loadWasmModuleToWorker(sa,function(){--Yn||mg(\"wasm-instantiate\")})})}}C||gI(\"wasm-instantiate\");function dt(yt){U(yt.instance,yt.module)}function Lt(yt){return yI().then(function(At){return WebAssembly.instantiate(At,L)}).then(function(At){return At}).then(yt,function(At){X(\"failed to asynchronously prepare wasm: \"+At),Eu(At)})}function Yt(){return!at&&typeof WebAssembly.instantiateStreaming==\"function\"&&!fg(Jr)&&!Zc(Jr)&&!w&&typeof fetch==\"function\"?fetch(Jr,{credentials:\"same-origin\"}).then(function(yt){var At=WebAssembly.instantiateStreaming(yt,L);return At.then(dt,function(nr){return X(\"wasm streaming compile failed: \"+nr),X(\"falling back to ArrayBuffer instantiation\"),Lt(dt)})}):Lt(dt)}if(l.instantiateWasm)try{var Xt=l.instantiateWasm(L,U);return Xt}catch(yt){X(\"Module.instantiateWasm callback failed with error: \"+yt),p(yt)}return Yt().catch(p),{}}var jk,Xk,hg={};function _u(L){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+L+\")\",this.status=L}function wI(L){var U=jt.pthreads[L];delete jt.pthreads[L],U.terminate(),Qv(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function CI(L){var U=jt.pthreads[L];U.postMessage({cmd:\"cancel\"})}function Ld(L){var U=jt.pthreads[L];$t(U),jt.returnWorkerToPool(U)}function II(L){var U=jt.getNewWorker();if(!U)return 6;jt.runningWorkers.push(U),jt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var dt={cmd:\"run\",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{w&&U.ref(),U.postMessage(dt,L.transferList),delete U.runPthread},U.loaded&&U.runPthread(),0}var gg={varargs:void 0,get:function(){gg.varargs+=4;var L=s()[gg.varargs-4>>2];return L},getStr:function(L){var U=Wt(L);return U}};function xg(L){if(C)return Tl(1,1,L);Ct=L,Mo()||(jt.terminateAllThreads(),l.onExit&&l.onExit(L),gt=!0),g(L,new _u(L))}function vI(L,U){if(Ct=L,!U&&C)throw bg(L),\"unwind\";xg(L)}var yg=vI;function SI(L){if(L instanceof _u||L==\"unwind\")return Ct;g(1,L)}var jt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?jt.initWorker():jt.initMainThread()},initMainThread:function(){for(var L=8;L--;)jt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){Ct=L},terminateAllThreads:function(){for(var L of Object.values(jt.pthreads))jt.returnWorkerToPool(L);for(var L of jt.unusedWorkers)L.terminate();jt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete jt.pthreads[U],jt.unusedWorkers.push(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,w&&L.unref(),Qv(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){jt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=Xt=>{var yt=Xt.data,At=yt.cmd;if(L.pthread_ptr&&(jt.currentProxiedOperationCallerThread=L.pthread_ptr),yt.targetThread&&yt.targetThread!=Rg()){var nr=jt.pthreads[yt.targetThread];nr?nr.postMessage(yt,yt.transferList):X('Internal error! Worker sent a message \"'+At+'\" to target pthread '+yt.targetThread+\", but that thread no longer exists!\"),jt.currentProxiedOperationCallerThread=void 0;return}At===\"processProxyingQueue\"?zd(yt.queue):At===\"spawnThread\"?II(yt):At===\"cleanupThread\"?Ld(yt.thread):At===\"killThread\"?wI(yt.thread):At===\"cancelThread\"?CI(yt.thread):At===\"loaded\"?(L.loaded=!0,w&&L.unref(),U&&U(L),L.runPthread&&L.runPthread()):At===\"print\"?K(\"Thread \"+yt.threadId+\": \"+yt.text):At===\"printErr\"?X(\"Thread \"+yt.threadId+\": \"+yt.text):At===\"alert\"?alert(\"Thread \"+yt.threadId+\": \"+yt.text):yt.target===\"setimmediate\"?L.postMessage(yt):At===\"callHandler\"?l[yt.handler](...yt.args):At&&X(\"worker sent an unknown command \"+At),jt.currentProxiedOperationCallerThread=void 0},L.onerror=Xt=>{var yt=\"worker sent an error!\";throw X(yt+\" \"+Xt.filename+\":\"+Xt.lineno+\": \"+Xt.message),Xt},w&&(L.on(\"message\",function(Xt){L.onmessage({data:Xt})}),L.on(\"error\",function(Xt){L.onerror(Xt)}),L.on(\"detachedExit\",function(){}));var dt=[],Lt=[\"onExit\",\"onAbort\",\"print\",\"printErr\"];for(var Yt of Lt)l.hasOwnProperty(Yt)&&dt.push(Yt);L.postMessage({cmd:\"load\",handlers:dt,urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:st,wasmModule:ft})},allocateUnusedWorker:function(){var L,U=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");L=new Worker(U),jt.unusedWorkers.push(L)},getNewWorker:function(){return jt.unusedWorkers.length==0&&(jt.allocateUnusedWorker(),jt.loadWasmModuleToWorker(jt.unusedWorkers[0])),jt.unusedWorkers.pop()}};l.PThread=jt;function Md(L){for(;L.length>0;)L.shift()(l)}function NI(){var L=Rg(),U=s()[L+52>>2],dt=s()[L+56>>2],Lt=U-dt;e1(U,Lt),Fg(U)}l.establishStackSpace=NI;function bg(L){if(C)return Tl(2,0,L);try{yg(L)}catch(U){SI(U)}}var Jc=[];function TI(L){var U=Jc[L];return U||(L>=Jc.length&&(Jc.length=L+1),Jc[L]=U=Vr.get(L)),U}function kI(L,U){var dt=TI(L)(U);Mo()?jt.setExitStatus(dt):t1(dt)}l.invokeEntryPoint=kI;function EI(L){jt.tlsInitFunctions.push(L)}function _I(L){Zk(L,!b,1,!x),jt.threadInitTLS()}function AI(L){C?postMessage({cmd:\"cleanupThread\",thread:L}):Ld(L)}function wg(L,U,dt,Lt){return C?Tl(3,1,L,U,dt,Lt):Cg(L,U,dt,Lt)}function Cg(L,U,dt,Lt){if(typeof SharedArrayBuffer==\"undefined\")return X(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var Yt=[],Xt=0;if(C&&(Yt.length===0||Xt))return wg(L,U,dt,Lt);if(Xt)return Xt;var yt={startRoutine:dt,pthread_ptr:L,arg:Lt,transferList:Yt};return C?(yt.cmd=\"spawnThread\",postMessage(yt,Yt),0):II(yt)}function $I(){return 65536}var DI=!0;function RI(){return DI}function zd(L){Atomics.store(s(),L>>2,1),Rg()&&Qk(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=zd;function FI(L,U,dt,Lt){if(L==U)setTimeout(()=>zd(Lt));else if(C)postMessage({targetThread:L,cmd:\"processProxyingQueue\",queue:Lt});else{var Yt=jt.pthreads[L];if(!Yt)return;Yt.postMessage({cmd:\"processProxyingQueue\",queue:Lt})}return 1}function OI(L,U,dt){return-1}function PI(){Eu(\"\")}function Au(L){Au.shown||(Au.shown={}),Au.shown[L]||(Au.shown[L]=1,w&&(L=\"warning: \"+L),X(L))}function LI(){w||b||Au(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function MI(){return Date.now()}function Ig(){return 2147483648}function zI(){return Ig()}var Bd;w?Bd=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:Bd=()=>performance.timeOrigin+performance.now();function BI(L,U,dt){n().copyWithin(L,U,U+dt)}function VI(){return w?HW().cpus().length:navigator.hardwareConcurrency}function GI(L){var U=t0(),dt=L();return Fg(U),dt}function Tl(L,U){var dt=arguments.length-2,Lt=arguments;return GI(()=>{for(var Yt=dt,Xt=Og(Yt*8),yt=Xt>>3,At=0;At>3,Yt=0;Yt>>16),je(st.buffer),1}catch(U){}}function HI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var dt=Ig();if(L>dt)return!1;let Lt=(nr,Yn)=>nr+(Yn-nr%Yn)%Yn;for(var Yt=1;Yt<=4;Yt*=2){var Xt=U*(1+.2/Yt);Xt=Math.min(Xt,L+100663296);var yt=Math.min(dt,Lt(Math.max(L,Xt),65536)),At=UI(yt);if(At)return!0}return!1}function qI(){throw\"unwind\"}function vg(L){return C?Tl(4,1,L):52}function Sg(L,U,dt,Lt,Yt){return C?Tl(5,1,L,U,dt,Lt,Yt):70}var KI=[null,[],[]];function jI(L,U){var dt=KI[L];U===0||U===10?((L===1?K:X)(Gt(dt,0)),dt.length=0):dt.push(U)}function Ng(L,U,dt,Lt){if(C)return Tl(6,1,L,U,dt,Lt);for(var Yt=0,Xt=0;Xt>2],At=i()[U+4>>2];U+=8;for(var nr=0;nr>2]=Yt,0}function Tg(L){var U=l[\"_\"+L];return U}function XI(L,U){e().set(L,U)}function YI(L,U,dt,Lt,Yt){var Xt={string:Dn=>{var rp=0;if(Dn!=null&&Dn!==0){var o1=(Dn.length<<2)+1;rp=Og(o1),he(Dn,rp,o1)}return rp},array:Dn=>{var rp=Og(Dn.length);return XI(Dn,rp),rp}};function yt(Dn){return U===\"string\"?Wt(Dn):U===\"boolean\"?Boolean(Dn):Dn}var At=Tg(L),nr=[],Yn=0;if(Lt)for(var sa=0;sayt===\"number\"||yt===\"boolean\"),Xt=U!==\"string\";return Xt&&Yt&&!Lt?Tg(L):function(){return YI(L,U,dt,arguments,Lt)}}jt.init();var JI=[null,xg,bg,wg,vg,Sg,Ng],kg={__emscripten_init_main_thread_js:_I,__emscripten_thread_cleanup:AI,__pthread_create_js:Cg,_emscripten_default_pthread_stack_size:$I,_emscripten_get_now_is_monotonic:RI,_emscripten_notify_task_queue:FI,_emscripten_set_offscreencanvas_size:OI,abort:PI,emscripten_check_blocking_allowed:LI,emscripten_date_now:MI,emscripten_get_heap_max:zI,emscripten_get_now:Bd,emscripten_memcpy_big:BI,emscripten_num_logical_cores:VI,emscripten_receive_on_main_thread_js:WI,emscripten_resize_heap:HI,emscripten_unwind_to_js_event_loop:qI,exit:yg,fd_close:vg,fd_seek:Sg,fd_write:Ng,memory:st||l.wasmMemory},Yk=bI(),QI=l.___wasm_call_ctors=function(){return(QI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},tv=l._init=function(){return(tv=l._init=l.asm.init).apply(null,arguments)},ev=l._init_with_threads_count=function(){return(ev=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},rv=l._get_threads_count=function(){return(rv=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},nv=l._register_tensor=function(){return(nv=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},ov=l._dispose_data=function(){return(ov=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},sv=l._dispose=function(){return(sv=l._dispose=l.asm.dispose).apply(null,arguments)},iv=l._Abs=function(){return(iv=l._Abs=l.asm.Abs).apply(null,arguments)},av=l._Add=function(){return(av=l._Add=l.asm.Add).apply(null,arguments)},lv=l._AddN=function(){return(lv=l._AddN=l.asm.AddN).apply(null,arguments)},uv=l._All=function(){return(uv=l._All=l.asm.All).apply(null,arguments)},cv=l._Any=function(){return(cv=l._Any=l.asm.Any).apply(null,arguments)},pv=l._ArgMax=function(){return(pv=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},mv=l._AvgPool=function(){return(mv=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},fv=l._BatchMatMul=function(){return(fv=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},dv=l._Ceil=function(){return(dv=l._Ceil=l.asm.Ceil).apply(null,arguments)},hv=l._ClipByValue=function(){return(hv=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},gv=l._Conv2D=function(){return(gv=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},xv=l._Conv2DBackpropInput=function(){return(xv=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},yv=l._Cos=function(){return(yv=l._Cos=l.asm.Cos).apply(null,arguments)},bv=l._Cosh=function(){return(bv=l._Cosh=l.asm.Cosh).apply(null,arguments)},wv=l._CropAndResize=function(){return(wv=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},Cv=l._Cumprod=function(){return(Cv=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},Iv=l._Cumsum=function(){return(Iv=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},vv=l._DepthToSpace=function(){return(vv=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},Sv=l._DepthwiseConv2dNative=function(){return(Sv=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},Nv=l._Elu=function(){return(Nv=l._Elu=l.asm.Elu).apply(null,arguments)},Tv=l._Equal=function(){return(Tv=l._Equal=l.asm.Equal).apply(null,arguments)},kv=l._Exp=function(){return(kv=l._Exp=l.asm.Exp).apply(null,arguments)},Ev=l._FlipLeftRight=function(){return(Ev=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},_v=l._Floor=function(){return(_v=l._Floor=l.asm.Floor).apply(null,arguments)},Av=l._FloorDiv=function(){return(Av=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},$v=l._FusedBatchNorm=function(){return($v=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},Dv=l._FusedConv2D=function(){return(Dv=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},Rv=l._FusedDepthwiseConv2D=function(){return(Rv=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},Fv=l._Gather=function(){return(Fv=l._Gather=l.asm.Gather).apply(null,arguments)},Ov=l._GatherNd=function(){return(Ov=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},Pv=l._Greater=function(){return(Pv=l._Greater=l.asm.Greater).apply(null,arguments)},Lv=l._GreaterEqual=function(){return(Lv=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},Mv=l._IsNan=function(){return(Mv=l._IsNan=l.asm.IsNan).apply(null,arguments)},zv=l._LeakyRelu=function(){return(zv=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},Bv=l._Less=function(){return(Bv=l._Less=l.asm.Less).apply(null,arguments)},Vv=l._LessEqual=function(){return(Vv=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},Gv=l._Log=function(){return(Gv=l._Log=l.asm.Log).apply(null,arguments)},Wv=l._LogicalAnd=function(){return(Wv=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},Uv=l._LogicalNot=function(){return(Uv=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},Hv=l._LogicalOr=function(){return(Hv=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},qv=l._LogicalXor=function(){return(qv=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},Kv=l._Max=function(){return(Kv=l._Max=l.asm.Max).apply(null,arguments)},jv=l._MaxPool=function(){return(jv=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Eg=l._Maximum=function(){return(Eg=l._Maximum=l.asm.Maximum).apply(null,arguments)},_g=l._Mean=function(){return(_g=l._Mean=l.asm.Mean).apply(null,arguments)},Gd=l._Min=function(){return(Gd=l._Min=l.asm.Min).apply(null,arguments)},Xv=l._Minimum=function(){return(Xv=l._Minimum=l.asm.Minimum).apply(null,arguments)},Yv=l._MirrorPad=function(){return(Yv=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},Qc=l._Multiply=function(){return(Qc=l._Multiply=l.asm.Multiply).apply(null,arguments)},Ag=l._Neg=function(){return(Ag=l._Neg=l.asm.Neg).apply(null,arguments)},tp=l._NonMaxSuppressionV3=function(){return(tp=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},ep=l._NonMaxSuppressionV4=function(){return(ep=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},Zv=l._NonMaxSuppressionV5=function(){return(Zv=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},j=l._NotEqual=function(){return(j=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},ct=l._OneHot=function(){return(ct=l._OneHot=l.asm.OneHot).apply(null,arguments)},Dt=l._PadV2=function(){return(Dt=l._PadV2=l.asm.PadV2).apply(null,arguments)},ce=l._Pow=function(){return(ce=l._Pow=l.asm.Pow).apply(null,arguments)},Xe=l._Prelu=function(){return(Xe=l._Prelu=l.asm.Prelu).apply(null,arguments)},Ye=l._Prod=function(){return(Ye=l._Prod=l.asm.Prod).apply(null,arguments)},ne=l._RealDiv=function(){return(ne=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},re=l._Reciprocal=function(){return(re=l._Reciprocal=l.asm.Reciprocal).apply(null,arguments)},yr=l._Relu=function(){return(yr=l._Relu=l.asm.Relu).apply(null,arguments)},Xn=l._Relu6=function(){return(Xn=l._Relu6=l.asm.Relu6).apply(null,arguments)},oa=l._ResizeBilinear=function(){return(oa=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},$g=l._ResizeNearestNeighbor=function(){return($g=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Wd=l._Reverse=function(){return(Wd=l._Reverse=l.asm.Reverse).apply(null,arguments)},Jv=l._RotateWithOffset=function(){return(Jv=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},nn=l._Round=function(){return(nn=l._Round=l.asm.Round).apply(null,arguments)},kl=l._Rsqrt=function(){return(kl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},Dg=l._ScatterNd=function(){return(Dg=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},rU=l._SelectV2=function(){return(rU=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},nU=l._Sigmoid=function(){return(nU=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},oU=l._Sin=function(){return(oU=l._Sin=l.asm.Sin).apply(null,arguments)},sU=l._Softmax=function(){return(sU=l._Softmax=l.asm.Softmax).apply(null,arguments)},iU=l._SparseFillEmptyRows=function(){return(iU=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},aU=l._SparseReshape=function(){return(aU=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},lU=l._SparseSegmentReduction=function(){return(lU=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},uU=l._Sqrt=function(){return(uU=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},cU=l._Square=function(){return(cU=l._Square=l.asm.Square).apply(null,arguments)},pU=l._SquaredDifference=function(){return(pU=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},mU=l._Step=function(){return(mU=l._Step=l.asm.Step).apply(null,arguments)},fU=l._StridedSlice=function(){return(fU=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},dU=l._Sub=function(){return(dU=l._Sub=l.asm.Sub).apply(null,arguments)},hU=l._Sum=function(){return(hU=l._Sum=l.asm.Sum).apply(null,arguments)},gU=l._Tan=function(){return(gU=l._Tan=l.asm.Tan).apply(null,arguments)},xU=l._Tanh=function(){return(xU=l._Tanh=l.asm.Tanh).apply(null,arguments)},yU=l._Tile=function(){return(yU=l._Tile=l.asm.Tile).apply(null,arguments)},bU=l._TopK=function(){return(bU=l._TopK=l.asm.TopK).apply(null,arguments)},wU=l._Transform=function(){return(wU=l._Transform=l.asm.Transform).apply(null,arguments)},CU=l._Transpose=function(){return(CU=l._Transpose=l.asm.Transpose).apply(null,arguments)},IU=l.__FusedMatMul=function(){return(IU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},vU=l._malloc=function(){return(vU=l._malloc=l.asm.malloc).apply(null,arguments)},SU=l._free=function(){return(SU=l._free=l.asm.free).apply(null,arguments)},NU=l.__emscripten_tls_init=function(){return(NU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Rg=l._pthread_self=function(){return(Rg=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},TU=l.___errno_location=function(){return(TU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},Zk=l.__emscripten_thread_init=function(){return(Zk=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},kU=l.__emscripten_thread_crashed=function(){return(kU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},EU=l._emscripten_main_thread_process_queued_calls=function(){return(EU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},_U=l._emscripten_main_browser_thread_id=function(){return(_U=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jk=l._emscripten_run_in_main_runtime_thread_js=function(){return(Jk=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},AU=l._emscripten_dispatch_to_thread_=function(){return(AU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Qk=l.__emscripten_proxy_execute_task_queue=function(){return(Qk=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Qv=l.__emscripten_thread_free_data=function(){return(Qv=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},t1=l.__emscripten_thread_exit=function(){return(t1=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},e1=l._emscripten_stack_set_limits=function(){return(e1=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},t0=l.stackSave=function(){return(t0=l.stackSave=l.asm.stackSave).apply(null,arguments)},Fg=l.stackRestore=function(){return(Fg=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Og=l.stackAlloc=function(){return(Og=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},$U=l.dynCall_iijjiiii=function(){return($U=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},DU=l.dynCall_jiji=function(){return(DU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Mo,l.wasmMemory=st,l.cwrap=ZI,l.ExitStatus=_u,l.PThread=jt;var Pg;na=function L(){Pg||r1(),Pg||(na=L)};function r1(L){if(L=L||d,Nl>0)return;if(C){c(l),Er(),startWorker(l);return}if(si(),Nl>0)return;function U(){Pg||(Pg=!0,l.calledRun=!0,!gt&&(Er(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),ra()))}l.setStatus?(l.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){l.setStatus(\"\")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit==\"function\"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();r1();var Lg;m&&(Lg={uncaughtException:process.listeners(\"uncaughtException\").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Mg;if(typeof WasmBackendModule!=\"undefined\")Mg=WasmBackendModule;else if(typeof t!=\"undefined\")Mg=t;else throw new Error(\"Could not find wasm module in post.js\");if(Lg){var RU=Mg._dispose;Mg._dispose=function(){RU(),Lg.uncaughtException.forEach(function(L){process.removeListener(\"uncaughtException\",L)}),Lg.unhandledRejection.forEach(function(L){process.removeListener(\"unhandledRejection\",L)})}}return t.ready}})();typeof fI==\"object\"&&typeof Bk==\"object\"?Bk.exports=zk:typeof define==\"function\"&&define.amd?define([],function(){return zk}):typeof fI==\"object\"&&(fI.WasmBackendModuleThreadedSimd=zk)});var jW=br((g8e,KW)=>{KW.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\")+\"//# sourceURL=\"+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({\"cmd\":\"loaded\"})};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:\"callHandler\",handler:handler,args:[...arguments]})}}Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd===\"run\"){Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var XW=br((dI,Gk)=>{var Vk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!=\"undefined\"?t:{},n,o;e.ready=new Promise(function(j,ct){n=j,o=ct});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var i=Object.assign({},e),a=[],u=\"./this.program\",l=(j,ct)=>{throw ct},c=typeof window==\"object\",p=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",f=\"\";function d(j){return e.locateFile?e.locateFile(j,f):f+j}var h,g,x,b;function w(j){if(j instanceof Yc)return;A(\"exiting due to exception: \"+j)}if(m){var C=Zb(),N=Mk();p?f=N.dirname(f)+\"/\":f=__dirname+\"/\",h=(j,ct)=>(j=si(j)?new URL(j):N.normalize(j),C.readFileSync(j,ct?void 0:\"utf8\")),x=j=>{var ct=h(j,!0);return ct.buffer||(ct=new Uint8Array(ct)),ct},g=(j,ct,Dt)=>{j=si(j)?new URL(j):N.normalize(j),C.readFile(j,function(ce,Xe){ce?Dt(ce):ct(Xe.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\\\/g,\"/\")),a=process.argv.slice(2),process.on(\"uncaughtException\",function(j){if(!(j instanceof Yc))throw j}),process.on(\"unhandledRejection\",function(j){throw j}),l=(j,ct)=>{if(fe())throw process.exitCode=j,ct;w(ct),process.exit(j)},e.inspect=function(){return\"[Emscripten Module object]\"}}else(c||p)&&(p?f=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf(\"blob:\")!==0?f=f.substr(0,f.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):f=\"\",h=j=>{var ct=new XMLHttpRequest;return ct.open(\"GET\",j,!1),ct.send(null),ct.responseText},p&&(x=j=>{var ct=new XMLHttpRequest;return ct.open(\"GET\",j,!1),ct.responseType=\"arraybuffer\",ct.send(null),new Uint8Array(ct.response)}),g=(j,ct,Dt)=>{var ce=new XMLHttpRequest;ce.open(\"GET\",j,!0),ce.responseType=\"arraybuffer\",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){ct(ce.response);return}Dt()},ce.onerror=Dt,ce.send(null)},b=j=>document.title=j);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Zr(\"no native wasm support detected\");var V,G=!1,W;function q(j,ct){j||Zr(ct)}var H=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function K(j,ct,Dt){for(var ce=ct+Dt,Xe=ct;j[Xe]&&!(Xe>=ce);)++Xe;if(Xe-ct>16&&j.buffer&&H)return H.decode(j.subarray(ct,Xe));for(var Ye=\"\";ct>10,56320|Xn&1023)}}return Ye}function X(j,ct){return j?K(at,j,ct):\"\"}function Z(j,ct,Dt,ce){if(!(ce>0))return 0;for(var Xe=Dt,Ye=Dt+ce-1,ne=0;ne=55296&&re<=57343){var yr=j.charCodeAt(++ne);re=65536+((re&1023)<<10)|yr&1023}if(re<=127){if(Dt>=Ye)break;ct[Dt++]=re}else if(re<=2047){if(Dt+1>=Ye)break;ct[Dt++]=192|re>>6,ct[Dt++]=128|re&63}else if(re<=65535){if(Dt+2>=Ye)break;ct[Dt++]=224|re>>12,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}else{if(Dt+3>=Ye)break;ct[Dt++]=240|re>>18,ct[Dt++]=128|re>>12&63,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}}return ct[Dt]=0,Dt-Xe}function et(j,ct,Dt){return Z(j,at,ct,Dt)}var rt,ot,at,nt,st,ft,gt,Ct,$t;function _t(j){rt=j,e.HEAP8=ot=new Int8Array(j),e.HEAP16=nt=new Int16Array(j),e.HEAP32=ft=new Int32Array(j),e.HEAPU8=at=new Uint8Array(j),e.HEAPU16=st=new Uint16Array(j),e.HEAPU32=gt=new Uint32Array(j),e.HEAPF32=Ct=new Float32Array(j),e.HEAPF64=$t=new Float64Array(j)}var Gt=e.INITIAL_MEMORY||16777216,Wt,ue=[],he=[],ee=[],ge=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun==\"function\"&&(e.preRun=[e.preRun]);e.preRun.length;)ar(e.preRun.shift());na(ue)}function $e(){ge=!0,na(he)}function $n(){if(e.postRun)for(typeof e.postRun==\"function\"&&(e.postRun=[e.postRun]);e.postRun.length;)zr(e.postRun.shift());na(ee)}function ar(j){ue.unshift(j)}function qn(j){he.unshift(j)}function zr(j){ee.unshift(j)}var je=0,Br=null,Vr=null;function Kn(j){je++,e.monitorRunDependencies&&e.monitorRunDependencies(je)}function jn(j){if(je--,e.monitorRunDependencies&&e.monitorRunDependencies(je),je==0&&(Br!==null&&(clearInterval(Br),Br=null),Vr)){var ct=Vr;Vr=null,ct()}}function Zr(j){e.onAbort&&e.onAbort(j),j=\"Aborted(\"+j+\")\",A(j),G=!0,W=1,j+=\". Build with -sASSERTIONS for more info.\";var ct=new WebAssembly.RuntimeError(j);throw o(ct),ct}var ea=\"data:application/octet-stream;base64,\";function Mo(j){return j.startsWith(ea)}function si(j){return j.startsWith(\"file://\")}var Er;Er=\"tfjs-backend-wasm.wasm\",Mo(Er)||(Er=d(Er));function ra(j){try{if(j==Er&&F)return new Uint8Array(F);if(x)return x(j);throw\"both async and sync fetching of the wasm failed\"}catch(ct){Zr(ct)}}function Od(){if(!F&&(c||p)){if(typeof fetch==\"function\"&&!si(Er))return fetch(Er,{credentials:\"same-origin\"}).then(function(j){if(!j.ok)throw\"failed to load wasm binary file at '\"+Er+\"'\";return j.arrayBuffer()}).catch(function(){return ra(Er)});if(g)return new Promise(function(j,ct){g(Er,function(Dt){j(new Uint8Array(Dt))},ct)})}return Promise.resolve().then(function(){return ra(Er)})}function Pd(){var j={env:Ld,wasi_snapshot_preview1:Ld};function ct(ne,re){var yr=ne.exports;e.asm=yr,V=e.asm.memory,_t(V.buffer),Wt=e.asm.__indirect_function_table,qn(e.asm.__wasm_call_ctors),jn(\"wasm-instantiate\")}Kn(\"wasm-instantiate\");function Dt(ne){ct(ne.instance)}function ce(ne){return Od().then(function(re){return WebAssembly.instantiate(re,j)}).then(function(re){return re}).then(ne,function(re){A(\"failed to asynchronously prepare wasm: \"+re),Zr(re)})}function Xe(){return!F&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Mo(Er)&&!si(Er)&&!m&&typeof fetch==\"function\"?fetch(Er,{credentials:\"same-origin\"}).then(function(ne){var re=WebAssembly.instantiateStreaming(ne,j);return re.then(Dt,function(yr){return A(\"wasm streaming compile failed: \"+yr),A(\"falling back to ArrayBuffer instantiation\"),ce(Dt)})}):ce(Dt)}if(e.instantiateWasm)try{var Ye=e.instantiateWasm(j,ct);return Ye}catch(ne){A(\"Module.instantiateWasm callback failed with error: \"+ne),o(ne)}return Xe().catch(o),{}}var Kk,Nl;function Yc(j){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+j+\")\",this.status=j}function na(j){for(;j.length>0;)j.shift()(e)}function gI(){Zr(\"\")}function mg(){return 2147483648}function Eu(){return mg()}function xI(j,ct,Dt){at.copyWithin(j,ct,ct+Dt)}function fg(j){try{return V.grow(j-rt.byteLength+65535>>>16),_t(V.buffer),1}catch(ct){}}function Zc(j){var ct=at.length;j=j>>>0;var Dt=mg();if(j>Dt)return!1;let ce=(yr,Xn)=>yr+(Xn-yr%Xn)%Xn;for(var Xe=1;Xe<=4;Xe*=2){var Ye=ct*(1+.2/Xe);Ye=Math.min(Ye,j+100663296);var ne=Math.min(Dt,ce(Math.max(j,Ye),65536)),re=fg(ne);if(re)return!0}return!1}var Jr={varargs:void 0,get:function(){Jr.varargs+=4;var j=ft[Jr.varargs-4>>2];return j},getStr:function(j){var ct=X(j);return ct}};function dg(j){return 52}function yI(j,ct,Dt,ce,Xe){return 70}var bI=[null,[],[]];function jk(j,ct){var Dt=bI[j];ct===0||ct===10?((j===1?_:A)(K(Dt,0)),Dt.length=0):Dt.push(ct)}function Xk(j,ct,Dt,ce){for(var Xe=0,Ye=0;Ye>2],re=gt[ct+4>>2];ct+=8;for(var yr=0;yr>2]=Xe,0}function hg(j){var ct=e[\"_\"+j];return ct}function _u(j,ct){ot.set(j,ct)}function wI(j,ct,Dt,ce,Xe){var Ye={string:nn=>{var kl=0;if(nn!=null&&nn!==0){var Dg=(nn.length<<2)+1;kl=Gd(Dg),et(nn,kl,Dg)}return kl},array:nn=>{var kl=Gd(nn.length);return _u(nn,kl),kl}};function ne(nn){return ct===\"string\"?X(nn):ct===\"boolean\"?Boolean(nn):nn}var re=hg(j),yr=[],Xn=0;if(ce)for(var oa=0;oane===\"number\"||ne===\"boolean\"),Ye=ct!==\"string\";return Ye&&Xe&&!ce?hg(j):function(){return wI(j,ct,Dt,arguments,ce)}}var Ld={abort:gI,emscripten_get_heap_max:Eu,emscripten_memcpy_big:xI,emscripten_resize_heap:Zc,fd_close:dg,fd_seek:yI,fd_write:Xk},II=Pd(),gg=e.___wasm_call_ctors=function(){return(gg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},xg=e._init=function(){return(xg=e._init=e.asm.init).apply(null,arguments)},vI=e._init_with_threads_count=function(){return(vI=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},yg=e._get_threads_count=function(){return(yg=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},SI=e._register_tensor=function(){return(SI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},jt=e._dispose_data=function(){return(jt=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},Md=e._dispose=function(){return(Md=e._dispose=e.asm.dispose).apply(null,arguments)},NI=e._Abs=function(){return(NI=e._Abs=e.asm.Abs).apply(null,arguments)},bg=e._Add=function(){return(bg=e._Add=e.asm.Add).apply(null,arguments)},Jc=e._AddN=function(){return(Jc=e._AddN=e.asm.AddN).apply(null,arguments)},TI=e._All=function(){return(TI=e._All=e.asm.All).apply(null,arguments)},kI=e._Any=function(){return(kI=e._Any=e.asm.Any).apply(null,arguments)},EI=e._ArgMax=function(){return(EI=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},_I=e._AvgPool=function(){return(_I=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},AI=e._BatchMatMul=function(){return(AI=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},wg=e._Ceil=function(){return(wg=e._Ceil=e.asm.Ceil).apply(null,arguments)},Cg=e._ClipByValue=function(){return(Cg=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},$I=e._Conv2D=function(){return($I=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},DI=e._Conv2DBackpropInput=function(){return(DI=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},RI=e._Cos=function(){return(RI=e._Cos=e.asm.Cos).apply(null,arguments)},zd=e._Cosh=function(){return(zd=e._Cosh=e.asm.Cosh).apply(null,arguments)},FI=e._CropAndResize=function(){return(FI=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},OI=e._Cumprod=function(){return(OI=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},PI=e._Cumsum=function(){return(PI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},Au=e._DepthToSpace=function(){return(Au=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},LI=e._DepthwiseConv2dNative=function(){return(LI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},MI=e._Elu=function(){return(MI=e._Elu=e.asm.Elu).apply(null,arguments)},Ig=e._Equal=function(){return(Ig=e._Equal=e.asm.Equal).apply(null,arguments)},zI=e._Exp=function(){return(zI=e._Exp=e.asm.Exp).apply(null,arguments)},Bd=e._FlipLeftRight=function(){return(Bd=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},BI=e._Floor=function(){return(BI=e._Floor=e.asm.Floor).apply(null,arguments)},VI=e._FloorDiv=function(){return(VI=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},GI=e._FusedBatchNorm=function(){return(GI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},Tl=e._FusedConv2D=function(){return(Tl=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},Vd=e._FusedDepthwiseConv2D=function(){return(Vd=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},WI=e._Gather=function(){return(WI=e._Gather=e.asm.Gather).apply(null,arguments)},UI=e._GatherNd=function(){return(UI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},HI=e._Greater=function(){return(HI=e._Greater=e.asm.Greater).apply(null,arguments)},qI=e._GreaterEqual=function(){return(qI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},vg=e._IsNan=function(){return(vg=e._IsNan=e.asm.IsNan).apply(null,arguments)},Sg=e._LeakyRelu=function(){return(Sg=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},KI=e._Less=function(){return(KI=e._Less=e.asm.Less).apply(null,arguments)},jI=e._LessEqual=function(){return(jI=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},Ng=e._Log=function(){return(Ng=e._Log=e.asm.Log).apply(null,arguments)},Tg=e._LogicalAnd=function(){return(Tg=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},XI=e._LogicalNot=function(){return(XI=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},YI=e._LogicalOr=function(){return(YI=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},ZI=e._LogicalXor=function(){return(ZI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},JI=e._Max=function(){return(JI=e._Max=e.asm.Max).apply(null,arguments)},kg=e._MaxPool=function(){return(kg=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},Yk=e._Maximum=function(){return(Yk=e._Maximum=e.asm.Maximum).apply(null,arguments)},QI=e._Mean=function(){return(QI=e._Mean=e.asm.Mean).apply(null,arguments)},tv=e._Min=function(){return(tv=e._Min=e.asm.Min).apply(null,arguments)},ev=e._Minimum=function(){return(ev=e._Minimum=e.asm.Minimum).apply(null,arguments)},rv=e._MirrorPad=function(){return(rv=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},nv=e._Multiply=function(){return(nv=e._Multiply=e.asm.Multiply).apply(null,arguments)},ov=e._Neg=function(){return(ov=e._Neg=e.asm.Neg).apply(null,arguments)},sv=e._NonMaxSuppressionV3=function(){return(sv=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},iv=e._NonMaxSuppressionV4=function(){return(iv=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},av=e._NonMaxSuppressionV5=function(){return(av=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},lv=e._NotEqual=function(){return(lv=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},uv=e._OneHot=function(){return(uv=e._OneHot=e.asm.OneHot).apply(null,arguments)},cv=e._PadV2=function(){return(cv=e._PadV2=e.asm.PadV2).apply(null,arguments)},pv=e._Pow=function(){return(pv=e._Pow=e.asm.Pow).apply(null,arguments)},mv=e._Prelu=function(){return(mv=e._Prelu=e.asm.Prelu).apply(null,arguments)},fv=e._Prod=function(){return(fv=e._Prod=e.asm.Prod).apply(null,arguments)},dv=e._RealDiv=function(){return(dv=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},hv=e._Reciprocal=function(){return(hv=e._Reciprocal=e.asm.Reciprocal).apply(null,arguments)},gv=e._Relu=function(){return(gv=e._Relu=e.asm.Relu).apply(null,arguments)},xv=e._Relu6=function(){return(xv=e._Relu6=e.asm.Relu6).apply(null,arguments)},yv=e._ResizeBilinear=function(){return(yv=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},bv=e._ResizeNearestNeighbor=function(){return(bv=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},wv=e._Reverse=function(){return(wv=e._Reverse=e.asm.Reverse).apply(null,arguments)},Cv=e._RotateWithOffset=function(){return(Cv=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},Iv=e._Round=function(){return(Iv=e._Round=e.asm.Round).apply(null,arguments)},vv=e._Rsqrt=function(){return(vv=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},Sv=e._ScatterNd=function(){return(Sv=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},Nv=e._SelectV2=function(){return(Nv=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},Tv=e._Sigmoid=function(){return(Tv=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},kv=e._Sin=function(){return(kv=e._Sin=e.asm.Sin).apply(null,arguments)},Ev=e._Softmax=function(){return(Ev=e._Softmax=e.asm.Softmax).apply(null,arguments)},_v=e._SparseFillEmptyRows=function(){return(_v=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},Av=e._SparseReshape=function(){return(Av=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},$v=e._SparseSegmentReduction=function(){return($v=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},Dv=e._Sqrt=function(){return(Dv=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},Rv=e._Square=function(){return(Rv=e._Square=e.asm.Square).apply(null,arguments)},Fv=e._SquaredDifference=function(){return(Fv=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},Ov=e._Step=function(){return(Ov=e._Step=e.asm.Step).apply(null,arguments)},Pv=e._StridedSlice=function(){return(Pv=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},Lv=e._Sub=function(){return(Lv=e._Sub=e.asm.Sub).apply(null,arguments)},Mv=e._Sum=function(){return(Mv=e._Sum=e.asm.Sum).apply(null,arguments)},zv=e._Tan=function(){return(zv=e._Tan=e.asm.Tan).apply(null,arguments)},Bv=e._Tanh=function(){return(Bv=e._Tanh=e.asm.Tanh).apply(null,arguments)},Vv=e._Tile=function(){return(Vv=e._Tile=e.asm.Tile).apply(null,arguments)},Gv=e._TopK=function(){return(Gv=e._TopK=e.asm.TopK).apply(null,arguments)},Wv=e._Transform=function(){return(Wv=e._Transform=e.asm.Transform).apply(null,arguments)},Uv=e._Transpose=function(){return(Uv=e._Transpose=e.asm.Transpose).apply(null,arguments)},Hv=e.__FusedMatMul=function(){return(Hv=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},qv=e._malloc=function(){return(qv=e._malloc=e.asm.malloc).apply(null,arguments)},Kv=e._free=function(){return(Kv=e._free=e.asm.free).apply(null,arguments)},jv=e.___errno_location=function(){return(jv=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},Eg=e.stackSave=function(){return(Eg=e.stackSave=e.asm.stackSave).apply(null,arguments)},_g=e.stackRestore=function(){return(_g=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Gd=e.stackAlloc=function(){return(Gd=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},Xv=e.dynCall_iijjiiii=function(){return(Xv=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},Yv=e.dynCall_jiji=function(){return(Yv=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=CI;var Qc;Vr=function j(){Qc||Ag(),Qc||(Vr=j)};function Ag(j){if(j=j||a,je>0||(Ae(),je>0))return;function ct(){Qc||(Qc=!0,e.calledRun=!0,!G&&($e(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),$n()))}e.setStatus?(e.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){e.setStatus(\"\")},1),ct()},1)):ct()}if(e.preInit)for(typeof e.preInit==\"function\"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();Ag();var tp;s&&(tp={uncaughtException:process.listeners(\"uncaughtException\").filter(function(j){return!s.uncaughtException.indexOf(j)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(j){return!s.unhandledRejection.indexOf(j)>-1})});var ep;if(typeof t!=\"undefined\")ep=t;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")ep=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(tp){var Zv=ep._dispose;ep._dispose=function(){Zv(),tp.uncaughtException.forEach(function(j){process.removeListener(\"uncaughtException\",j)}),tp.unhandledRejection.forEach(function(j){process.removeListener(\"unhandledRejection\",j)})}}return t.ready}})();typeof dI==\"object\"&&typeof Gk==\"object\"?Gk.exports=Vk:typeof define==\"function\"&&define.amd?define([],function(){return Vk}):typeof dI==\"object\"&&(dI.WasmBackendModule=Vk)});var ia=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},zo=class{refCount(t){return Rn(\"refCount\")}incRef(t){return Rn(\"incRef\")}timerAvailable(){return!0}time(t){return Rn(\"time\")}read(t){return Rn(\"read\")}readSync(t){return Rn(\"readSync\")}readToGPU(t,e){return Rn(\"readToGPU\")}numDataIds(){return Rn(\"numDataIds\")}disposeData(t,e){return Rn(\"disposeData\")}write(t,e,n){return Rn(\"write\")}move(t,e,n,o,s){return Rn(\"move\")}createTensorFromGPUData(t,e,n){return Rn(\"createTensorFromGPUData\")}memory(){return Rn(\"memory\")}floatPrecision(){return Rn(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Rn(\"dispose\")}};function Rn(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function s1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,zg(r,t,e)}function VU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,zg(r,e,n),zg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function GU(r){return r%2===0?r:r+1}function zg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function WU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Zn(r){E(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function Jt(r){if(r.length===0)return 1;let t=r[0];for(let e=1;e0,e,n){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n!=null?n(a,u):setTimeout(a,u)};a()})}function ZU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function pr(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>aa(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function n0(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:pr(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function o0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function s0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else if(r===\"string\")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function i0(r,t){for(let e=0;et+=e.length),t}function Bo(r){return typeof r==\"string\"||r instanceof String}function i1(r){return typeof r==\"boolean\"}function a1(r){return typeof r==\"number\"}function sp(r){return Array.isArray(r)?sp(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":a1(r)?\"float32\":Bo(r)?\"string\":i1(r)?\"bool\":\"float32\"}function ii(r){return!!(r&&r.constructor&&r.call&&r.apply)}function ip(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function l1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?\" for a complex tensor\":\"\"}.`);return l1(0,r,t,e)}function QU(r,t){if(Array.isArray(r))return r;if(t===\"float32\")return r instanceof Float32Array?r:new Float32Array(r);if(t===\"int32\")return r instanceof Int32Array?r:new Int32Array(r);if(t===\"bool\"||t===\"string\")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${t}`)}function Ud(r,t){let e=ap(r,t);for(let n=0;nn*o,1);if(t==null||t===\"float32\")return $u(r,new Float32Array(e));if(t===\"int32\")return $u(r,new Int32Array(e));if(t===\"bool\")return $u(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Le(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function e4(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(\":\");this.urlFlags[o]=i4(o,s)})}};function o4(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(s4(t,n[0],n[1]),n.join(\"=\"))),t}function s4(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||\"\")}function i4(r,t){if(t=t.toLowerCase(),t===\"true\"||t===\"false\")return t===\"true\";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function M(){return u0}var u0=null;function c1(r){u0=r}var c0;function p0(){if(c0==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");c0=r}return c0}function a4(){let r=p0();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function qd(r,t){let e=a4();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var li=\"Abs\",la=\"Acos\",ua=\"Acosh\",Jn=\"Add\",Vo=\"AddN\",ca=\"All\",pa=\"Any\",Go=\"ArgMax\",_l=\"ArgMin\",ma=\"Asin\",fa=\"Asinh\",da=\"Atan\",ha=\"Atanh\",ga=\"Atan2\",Wo=\"AvgPool\",lp=\"AvgPoolGrad\",Al=\"AvgPool3D\",up=\"AvgPool3DGrad\",Uo=\"BatchMatMul\",ui=\"BatchToSpaceND\",cp=\"Bincount\",p1=\"BroadcastTo\",pp=\"BroadcastArgs\",uo=\"Cast\",Ho=\"Ceil\",co=\"ClipByValue\",mp=\"Complex\",$l=\"ComplexAbs\",ci=\"Concat\",qo=\"Conv2D\",fp=\"Conv2DBackpropFilter\",Ko=\"Conv2DBackpropInput\",Dl=\"Conv3D\",dp=\"Conv3DBackpropFilterV2\",hp=\"Conv3DBackpropInputV2\",jo=\"Cos\",Xo=\"Cosh\",xa=\"Cumprod\",Yo=\"Cumsum\",ya=\"CropAndResize\",gp=\"DenseBincount\",ba=\"DepthToSpace\",Zo=\"DepthwiseConv2dNative\",xp=\"DepthwiseConv2dNativeBackpropFilter\",yp=\"DepthwiseConv2dNativeBackpropInput\",bp=\"Diag\",Rl=\"Dilation2D\",Kd=\"Dilation2DBackpropInput\",jd=\"Dilation2DBackpropFilter\",Jo=\"RealDiv\",wp=\"Einsum\",Qo=\"Elu\",Cp=\"EluGrad\",wa=\"Erf\",Ca=\"Equal\",ts=\"Exp\",pi=\"ExpandDims\",Ia=\"Expm1\",Ip=\"FFT\",Fl=\"Fill\",va=\"FlipLeftRight\",es=\"Floor\",rs=\"FloorDiv\",ns=\"FusedBatchNorm\",mi=\"GatherV2\",Sa=\"GatherNd\",Na=\"Greater\",os=\"GreaterEqual\",po=\"Identity\",vp=\"IFFT\",Sp=\"Imag\",Ta=\"IsFinite\",ka=\"IsInf\",ss=\"IsNan\",is=\"LeakyRelu\",Ea=\"Less\",_a=\"LessEqual\",Np=\"LinSpace\",as=\"Log\",Aa=\"Log1p\",$a=\"LogicalAnd\",Da=\"LogicalNot\",Ra=\"LogicalOr\",m1=\"LogicalXor\",f1=\"LogSoftmax\",Nlt=\"LowerBound\",Ol=\"LRN\",Tp=\"LRNGrad\",ls=\"Max\",us=\"Maximum\",cs=\"MaxPool\",kp=\"MaxPoolGrad\",Pl=\"MaxPool3D\",Ep=\"MaxPool3DGrad\",_p=\"MaxPoolWithArgmax\",ps=\"Mean\",ms=\"Min\",fs=\"Minimum\",ds=\"MirrorPad\",Fa=\"Mod\",Ap=\"Multinomial\",hs=\"Multiply\",fi=\"Neg\",Oa=\"NotEqual\",Pa=\"NonMaxSuppressionV3\",La=\"NonMaxSuppressionV4\",Ma=\"NonMaxSuppressionV5\",di=\"OnesLike\",gs=\"OneHot\",hi=\"Pack\",xs=\"PadV2\",Tlt=\"Pool\",ys=\"Pow\",bs=\"Prelu\",ws=\"Prod\",$p=\"RaggedGather\",Dp=\"RaggedRange\",Rp=\"RaggedTensorToTensor\",Ll=\"Range\",Fp=\"Real\",Cs=\"Reciprocal\",Is=\"Relu\",gi=\"Reshape\",vs=\"ResizeNearestNeighbor\",Op=\"ResizeNearestNeighborGrad\",Ss=\"ResizeBilinear\",Pp=\"ResizeBilinearGrad\",Ns=\"Relu6\",Ts=\"Reverse\",ks=\"Round\",Es=\"Rsqrt\",za=\"ScatterNd\",Lp=\"SearchSorted\",xi=\"Select\",Ba=\"Selu\",yi=\"Slice\",_s=\"Sin\",Va=\"Sinh\",Ga=\"Sign\",As=\"Sigmoid\",Wa=\"Softplus\",$s=\"Sqrt\",Ds=\"Sum\",bi=\"SpaceToBatchND\",wi=\"SplitV\",Rs=\"Softmax\",Ml=\"SparseFillEmptyRows\",Ua=\"SparseReshape\",zl=\"SparseSegmentMean\",Bl=\"SparseSegmentSum\",Mp=\"SparseToDense\",Fs=\"SquaredDifference\",Vl=\"Square\",Ha=\"StridedSlice\",Gl=\"StringNGrams\",Wl=\"StringSplit\",Ul=\"StringToHashBucketFast\",Os=\"Sub\",Ps=\"Tan\",Ls=\"Tanh\",Qn=\"Tile\",qa=\"TopK\",Ka=\"Transform\",to=\"Transpose\",zp=\"Unique\",Ci=\"Unpack\",Hl=\"UnsortedSegmentSum\",klt=\"UpperBound\",Ii=\"ZerosLike\",mo=\"Step\",Xd=\"FromPixels\",ja=\"RotateWithOffset\",vi=\"_FusedMatMul\",Si=\"FusedConv2D\",Ni=\"FusedDepthwiseConv2D\";function Ti(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.warn(...r)}function l4(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.log(...r)}var Bp=qd(\"kernelRegistry\",()=>new Map),Yd=qd(\"gradRegistry\",()=>new Map);function Zd(r,t){let e=f0(r,t);return Bp.get(e)}function m0(r){return Yd.get(r)}function Bg(r){let t=Bp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split(\"_\");a===r&&e.push(i)}return e}function Fu(r){let{kernelName:t,backendName:e}=r,n=f0(t,e);Bp.has(n)&&Ti(`The kernel '${t}' for backend '${e}' is already registered`),Bp.set(n,r)}function h1(r){let{kernelName:t}=r;Yd.has(t)&&M().getBool(\"DEBUG\")&&Ti(`Overriding the gradient for '${t}'`),Yd.set(t,r)}function Dlt(r,t){let e=f0(r,t);if(!Bp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);Bp.delete(e)}function Rlt(r){if(!Yd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Yd.delete(r)}function Flt(r,t){Bg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Fu(o)})}function f0(r,t){return`${t}_${r}`}var y={};Ut(y,{arraysEqual:()=>Fn,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Le,assertNonNull:()=>Zn,assertShapesMatch:()=>Re,bytesFromStringArray:()=>l0,bytesPerElement:()=>op,checkConversionForErrors:()=>i0,clamp:()=>np,computeStrides:()=>ai,convertBackendValuesAndArrayBuffer:()=>QU,createScalarValue:()=>h4,createShuffledIndices:()=>XU,decodeString:()=>Up,distSquared:()=>HU,encodeString:()=>Kl,fetch:()=>x4,fingerPrint64:()=>d4,flatten:()=>zs,getArrayFromDType:()=>s0,getTypedArrayFromDType:()=>o0,hasEncodingLoss:()=>JU,hexToLong:()=>Jd,indexToLoc:()=>r4,inferDtype:()=>sp,inferFromImplicitShape:()=>ZU,isBoolean:()=>i1,isFunction:()=>ii,isInt:()=>aa,isNumber:()=>a1,isPromise:()=>Ru,isScalarShape:()=>qU,isString:()=>Bo,isTypedArray:()=>mr,isValidDtype:()=>a0,locToIndex:()=>e4,makeOnesTypedArray:()=>Ud,makeZerosNestedTypedArray:()=>t4,makeZerosTypedArray:()=>ap,nearestDivisor:()=>ip,nearestLargerEven:()=>GU,now:()=>zu,parseAxisParam:()=>pr,randUniform:()=>UU,repeatedTry:()=>YU,rightPad:()=>Du,shuffle:()=>s1,shuffleCombo:()=>VU,sizeFromShape:()=>Jt,sizeToSquarishShape:()=>jU,squeezeShape:()=>n0,sum:()=>WU,swap:()=>zg,tanh:()=>KU,toNestedArray:()=>$u,toTypedArray:()=>Wp});var x0=El(T1());var Mu=x0.default||x0;function Jd(r){return Mu.fromString(r,!0,16)}var E1=Jd(\"c3a5c85c97cb3127\"),Lu=Jd(\"b492b66fbe98f273\"),on=Jd(\"9ae16a3b2f90404f\");function g0(r){return r.xor(r.shru(47))}function _1(r,t,e){let n=r.slice(t,t+e);return Mu.fromBytes(Array.from(n),!0,!0)}function Me(r,t){return _1(r,t,8)}function k1(r,t){return _1(r,t,4)}function _r(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function ql(r,t,e=Jd(\"9ddfea08eb382d69\")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function c4(r,t,e,n,o,s){o=o.add(r),s=_r(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(_r(o,44)),[o.add(n),s.add(i)]}function Gg(r,t,e,n){return c4(Me(r,t),Me(r,t+8),Me(r,t+16),Me(r,t+24),e,n)}function p4(r,t=r.length){if(t>=8){let e=on.add(t*2),n=Me(r,0).add(on),o=Me(r,t-8),s=_r(o,37).mul(e).add(n),i=_r(n,25).add(o).mul(e);return ql(s,i,e)}if(t>=4){let e=on.add(t*2),n=k1(r,0);return ql(n.shl(3).add(t),k1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return g0(on.mul(s).xor(E1.mul(i))).mul(on)}return on}function m4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(Lu),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on);return ql(_r(n.add(o),43).add(_r(s,30)).add(i),n.add(_r(o.add(on),18)).add(s),e)}function f4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(on),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on),a=_r(n.add(o),43).add(_r(s,30)).add(i),u=ql(a,n.add(_r(o.add(on),18)).add(s),e),l=Me(r,16).mul(e),c=Me(r,24),p=a.add(Me(r,t-32)).mul(e),m=u.add(Me(r,t-24)).mul(e);return ql(_r(l.add(c),43).add(_r(p,30)).add(m),l.add(_r(c.add(n),18)).add(p),e)}function d4(r,t=r.length){let e=Mu.fromNumber(81,!0);if(t<=32)return t<=16?p4(r,t):m4(r,t);if(t<=64)return f4(r,t);let n=e,o=e.mul(Lu).add(113),s=g0(o.mul(on).add(113)).mul(on),i=[Mu.UZERO,Mu.UZERO],a=[Mu.UZERO,Mu.UZERO];n=n.mul(on).add(Me(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(Lu),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(Lu),n=n.xor(a[1]),o=o.add(i[0]).add(Me(r,u+40)),s=_r(s.add(a[0]),33).mul(Lu),i=Gg(r,u,i[1].mul(Lu),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=Lu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(p),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Me(r,u+40))),s=_r(s.add(a[0]),33).mul(p),i=Gg(r,u,i[1].mul(p),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],ql(ql(i[0],a[0],p).add(g0(o).mul(E1)).add(s),ql(i[1],a[1],p).add(n),p)}function h4(r,t){return t===\"string\"?Kl(r):Wp([r],t)}function g4(r,t){return r instanceof Float32Array&&t===\"float32\"||r instanceof Int32Array&&t===\"int32\"||r instanceof Uint8Array&&t===\"bool\"}function Wp(r,t){if(t===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=zs(r)),M().getBool(\"DEBUG\")&&i0(r,t),g4(r,t))return r;if(t==null||t===\"float32\"||t===\"complex64\")return new Float32Array(r);if(t===\"int32\")return new Int32Array(r);if(t===\"bool\"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=zu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:zu()-a})}if(M().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let l=0;l{y4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():\"\")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function y4(r,t,e){if(t!==\"float32\")return!1;for(let n=0;n0?h:\"\"} `}}console.log(`%c${u}\t%c${a}\t%c${l}D ${p}\t%c${c}\t%c${m}\t%c${i}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function A1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!Fn(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var D1=20,Qd=3,b0=7;function R1(r,t,e,n){let o=ai(t),s=b4(r,t,e,o),i=t.length,a=Ug(r,t,e,o,s),u=[\"Tensor\"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(\" values:\")),u.push(a.map(l=>\" \"+l).join(`\n`)),u.join(`\n`)}function b4(r,t,e,n){let o=Jt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e===\"complex64\"?eh(r):r;if(a>1)for(let l=0;lD1){let g=Qd*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-Qd)*i,a*i));return e===\"complex64\"&&(x=eh(x),b=eh(b)),[\"[\"+x.map((w,C)=>th(w,o[C],e)).join(\", \")+\", ..., \"+b.map((w,C)=>th(w,o[a-Qd+C],e)).join(\", \")+\"]\"]}return[\"[\"+(e===\"complex64\"?eh(r):Array.from(r)).map((g,x)=>th(g,o[x],e)).join(\", \")+\"]\"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>D1){for(let h=0;h0?m[0]+f:\"\");for(let h=1;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||s0(e,this.size),this.strides=ai(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oUp(n))}catch(n){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return t}dataToGPU(t){return this.throwIfDisposed(),Bs().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Bs().readSync(this.dataId);if(this.dtype===\"string\")try{return t.map(e=>Up(e))}catch(e){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return t}async bytes(){this.throwIfDisposed();let t=await Bs().read(this.dataId);return this.dtype===\"string\"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Bs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(t=!1){return Hp.print(this,t)}clone(){return this.throwIfDisposed(),Hp.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Hp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Bs().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return qd(\"Tensor\",()=>Ft)}O();var Xa=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Fn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Bs().disposeTensor(this),this.dataId=t.dataId,Bs().incRef(this,null)}dispose(){Bs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Xa,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var xo={};Ut(xo,{assertTypesMatch:()=>N0,getTensorsInContainer:()=>rh,isTensorInList:()=>I4,makeTypesMatch:()=>Ht});var w0;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(w0||(w0={}));var C0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(C0||(C0={}));var I0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(I0||(I0={}));var v0;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(v0||(v0={}));var S0;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(S0||(S0={}));var C4={float32:v0,int32:C0,bool:I0,complex64:S0};function lr(r,t){if(r===\"string\"||t===\"string\"){if(r===\"string\"&&t===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${t}`)}return C4[r][t]}function Bu(r){return lr(r,\"int32\")}function Ht(r,t){if(r.dtype===t.dtype)return[r,t];let e=lr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function N0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function I4(r,t){return t.some(e=>e.id===r.id)}function rh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!v4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function v4(r){return Array.isArray(r)||typeof r==\"object\"}function T0(r){return r.kernelName!=null}var Hg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},jl=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Hg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Bg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then==\"function\"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return jl.nextTensorId++}nextVariableId(){return jl.nextVariableId++}clone(t){let e=k.runKernel(po,{x:t}),n={x:t},o=i=>({x:()=>{let a=\"float32\",u={x:i},l={dtype:a};return k.runKernel(uo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Zd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype===\"complex64\"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=T0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(T0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Zd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=T0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=m0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>\"saveAllInputs is true, expected inputs to be an array.\"),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error(\"Values passed to engine.makeTensor() are null\");n=n||\"float32\",o=o||this.backend;let s=t;n===\"string\"&&Bo(t[0])&&(s=t.map(u=>Kl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n===\"string\"){let u=this.state.tensorInfo.get(i),l=l0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||\"float32\";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Xa(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype===\"string\"&&this.state.numStringTensors++;let n=0;t.dtype!==\"complex64\"&&t.dtype!==\"string\"&&(n=t.size*op(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Xa||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!==\"complex64\"&&t.dtype!==\"string\"){let n=t.size*op(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=m0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ap(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=rh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>\"gradients() received an empty list of xs.\"),n!=null&&n.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",t));E(s instanceof Ft,()=>\"The result y returned by f() must be a tensor.\");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let a={};a[s.id]=n==null?S4(s.shape):n,$1(a,i,l=>this.tidy(l),N4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ii(t),()=>\"The f passed in customGrad(f) must be a function.\"),(...e)=>{E(e.every(a=>a instanceof Ft),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),E(ii(n.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),E(c.every(m=>m instanceof Ft),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=zu(),n=await this.backend.time(t);return n.wallMs=zu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Hg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};jl.nextTensorId=0;jl.nextVariableId=0;function S4(r){let t=Ud(Jt(r),\"float32\");return k.makeTensor(t,r,\"float32\")}function k0(){let r=p0();if(r._tfengine==null){let t=new Hd(r);r._tfengine=new jl(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=k0();function N4(r,t){let e={a:r,b:t};return k.runKernel(Jn,e)}var Xl={};Ut(Xl,{isBrowser:()=>_0,isMobile:()=>E4,mockIsMobile:()=>k4});function T4(){return typeof navigator!=\"undefined\"&&navigator!=null}var E0;function k4(r){E0=r}function E4(r){if(E0!==void 0)return E0;if(r||T4()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let t=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(t.substr(0,4))}return!1}function _0(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var eo=M();eo.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});eo.registerFlag(\"IS_BROWSER\",()=>_0());eo.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");eo.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));eo.registerFlag(\"PROD\",()=>!1);eo.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>eo.getBool(\"DEBUG\"));eo.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);eo.registerFlag(\"IS_TEST\",()=>!1);eo.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>!0);eo.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);eo.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);eo.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function Gr(r,t){let e=r;if(mr(r))return t===\"string\"?[]:[r.length];if(typeof r==\"object\"){if(\"texture\"in r){let s=r.channels||\"RGBA\";return[r.height,r.width*s.length]}else if(\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(t==null?4:op(t))]}if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(e)||mr(e)&&t!==\"string\";)o.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&B1(r,o,[]),o}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!mr(r)){E(t.length===0,()=>`Element arr[${e.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join(\"][\")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!mr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let u=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Gr(r,o);!mr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!==\"string\"?Wp(r,o):zs(r,[],!0);return k.makeTensor(a,s,o)}function Ya(r,t,e,n=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,i)=>v(s,`${t}[${i}]`,e,n))}var A0=\"__op\";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith(\"_\")&&(e=e.substring(0,e.length-1)),e=e+A0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Ru(i)&&console.error(\"Cannot return a Promise inside of tidy.\"),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,\"name\",{value:e,configurable:!0}),o}function _4(r,t){let e=v(r,\"real\",\"complex\"),n=v(t,\"imag\",\"complex\");Re(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(mp,o)}var In=T({complex_:_4});function sn(r,t,e,n){if(n==null)n=sp(r);else if(n===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(typeof r==\"object\"&&(\"texture\"in r||\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))){if(n!==\"float32\"&&n!==\"int32\")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return k.backend.createTensorFromGPUData(r,t||e,n)}if(!mr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(t!=null){Le(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!mr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!==\"string\"?Wp(r,n):zs(r,[],!0),k.makeTensor(r,t,n)}function or(r,t,e){let n=Gr(r,e);return sn(r,t,n,e)}var nh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var qg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+qg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var $0=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function V1(r){return $0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if($0)return Buffer.from(r).toString(\"base64\");let t=new Uint8Array(r),e=\"\";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function D0(r){let t=\"/\";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function jg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function R0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!e)throw new Error(\"modelJSON has weightsManifest but weightData is null\");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function Kp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),R0(r,e,n)}function ki(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Xg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function $4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function D4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function R4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function F4(){let r=$4(),t=D4(),e=R4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ie=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ie.instance==null&&(Ie.instance=new Ie),Ie.instance}static registerSaveRouter(t){Ie.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ie.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ie.getHandlers(t,\"save\")}static getLoadHandlers(t,e){return Ie.getHandlers(t,\"load\",e)}static getHandlers(t,e,n){let o=[];return(e===\"load\"?Ie.getInstance().loadRouters:Ie.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ie.registerSaveRouter(r),q1=r=>Ie.registerLoadRouter(r),K1=r=>Ie.getSaveHandlers(r),j1=(r,t)=>Ie.getLoadHandlers(r,t);var F0=\"tensorflowjs\",O0=1,Vu=\"models_store\",Yl=\"model_info_store\";function X1(){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function P0(r){let t=r.result;t.createObjectStore(Vu,{keyPath:\"modelPath\"}),t.createObjectStore(Yl,{keyPath:\"modelPath\"})}var Ei=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(F0,O0);s.onupgradeneeded=()=>P0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Vu,\"readonly\"),l=a.objectStore(Vu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=ki(e),u=i.transaction(Yl,\"readwrite\"),l=u.objectStore(Yl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Vu,\"readwrite\");let f=p.objectStore(Vu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(Yl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ei.URL_SCHEME=\"indexeddb://\";var Y1=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ei.URL_SCHEME)?O4(r.slice(Ei.URL_SCHEME.length)):null;Ie.registerSaveRouter(Y1);Ie.registerLoadRouter(Y1);function O4(r){return new Ei(r)}function P4(r){return r.startsWith(Ei.URL_SCHEME)?r.slice(Ei.URL_SCHEME.length):r}var Yg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(F0,O0);n.onupgradeneeded=()=>P0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(Yl,\"readonly\"),a=s.objectStore(Yl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=P4(t),new Promise((e,n)=>{let o=this.indexedDB.open(F0,O0);o.onupgradeneeded=()=>P0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(Yl,\"readwrite\"),a=i.objectStore(Yl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Vu,\"readwrite\");let f=l.objectStore(Vu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Za=\"/\",jp=\"tensorflowjs_models\",Z1=\"info\",L4=\"model_topology\",M4=\"weight_specs\",z4=\"weight_data\",B4=\"model_metadata\";function J1(r){return{info:[jp,r,Z1].join(Za),topology:[jp,r,L4].join(Za),weightSpecs:[jp,r,M4].join(Za),weightData:[jp,r,z4].join(Za),modelMetadata:[jp,r,B4].join(Za)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function V4(r){let t=r.split(Za);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Za)}function G4(r){return r.startsWith(_i.URL_SCHEME)?r.slice(_i.URL_SCHEME.length):r}var _i=class{constructor(t){if(!M().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,t==null||!t)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=ki(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};_i.URL_SCHEME=\"localstorage://\";var tE=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(_i.URL_SCHEME)?W4(r.slice(_i.URL_SCHEME.length)):null;Ie.registerSaveRouter(tE);Ie.registerLoadRouter(tE);function W4(r){return new _i(r)}var Zg=class{constructor(){E(M().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),E(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let t={},e=jp+Za,n=Za+Z1;for(let o=0;o\"scheme must not be undefined or null.\"),t.endsWith(Xp)&&(t=t.slice(0,t.indexOf(Xp))),E(t.length>0,()=>\"scheme must not be an empty string.\");let n=Ar.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Ar.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Ar.getInstance().managers)}};function Jg(r){if(r.indexOf(Xp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Ar.getSchemes().join(\",\")}`);return{scheme:r.split(Xp)[0],path:r.split(Xp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ie.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ie.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Jg(r).scheme,u=Jg(r).path,l=a===Jg(r).scheme,c=await o.load();e&&l&&await Ar.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Ar.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Ar.getSchemes(),t={};for(let e of r){let n=await Ar.getManager(e).listModels();for(let o in n){let s=e+Xp+o;t[s]=n[o]}}return t}async function nE(r){let t=Jg(r);return Ar.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var L0=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window==\"undefined\"||!M().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array||t instanceof Uint8ClampedArray}};if(M().get(\"IS_BROWSER\")){M().setPlatform(\"browser\",new L0);try{Ar.registerManager(_i.URL_SCHEME,new Zg)}catch(r){}try{Ar.registerManager(Ei.URL_SCHEME,new Yg)}catch(r){}}var U4={importFetch:()=>iE()},M0;var z0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(M0==null&&(M0=U4.importFetch()),M0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?\"\":new this.util.TextDecoder(e).decode(t)}isTypedArray(t){return this.util.types.isFloat32Array(t)||this.util.types.isInt32Array(t)||this.util.types.isUint8Array(t)||this.util.types.isUint8ClampedArray(t)}};M().get(\"IS_NODE\")&&!M().get(\"IS_BROWSER\")&&M().setPlatform(\"node\",new z0);function bt(r,t=\"float32\",e){return t=t||\"float32\",Le(r),new pe(r,t,e)}function H4(r,t){let e=v(r,\"x\",\"cast\");if(!a0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t===\"string\"&&e.dtype!==\"string\"||t!==\"string\"&&e.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let n={x:e},o={dtype:t};return k.runKernel(uo,n,o)}var J=T({cast_:H4});function q4(r){let e={x:v(r,\"x\",\"clone\",\"string_or_numeric\")};return k.runKernel(po,e)}var an=T({clone_:q4});function Qg(r,t=!1){console.log(r.toString(t))}k0();var K4={buffer:bt,cast:J,clone:an,print:Qg};P1(K4);function Mct(){M().set(\"PROD\",!0)}function zct(){M().set(\"DEBUG\",!0)}function Bct(){M().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function B0(r){M().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}L1(B0);function Vct(){k.disposeVariables()}function Ln(){return k}function oh(){return k.memory()}function Gct(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function Nt(r){rh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Wct(r){return k.time(r)}function j4(r){return k.setBackend(r)}function Uct(){return k.ready()}function Hct(){return k.backendName}function qct(r){k.removeBackend(r)}function Kct(r){return k.findBackend(r)}function jct(r){return k.findBackendFactory(r)}function Yp(r,t,e=1){return k.registerBackend(r,t,e)}function lE(){return k.backend}function Xct(r,t){M().setPlatform(r,t)}function X4(r,t){let e=v(r,\"a\",\"add\"),n=v(t,\"b\",\"add\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Jn,o)}var Y=T({add_:X4});function Y4(r,t){let e=v(r,\"a\",\"floorDiv\"),n=v(t,\"b\",\"floorDiv\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(rs,o)}var Zp=T({floorDiv_:Y4});function Z4(r,t){let e=v(r,\"a\",\"div\"),n=v(t,\"b\",\"div\");if([e,n]=Ht(e,n),e.dtype===\"int32\"&&n.dtype===\"int32\")return Zp(e,n);let o={a:e,b:n},s={};return k.runKernel(Jo,o,s)}var ut=T({div_:Z4});function J4(r,t){let e=v(r,\"a\",\"mul\"),n=v(t,\"b\",\"mul\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:J4});function Q4(r){let t=v(r,\"x\",\"abs\");if(t.dtype===\"complex64\"){let e={x:t};return k.runKernel($l,e)}else{let e={x:t};return k.runKernel(li,e)}}var Ee=T({abs_:Q4});function tH(r){let e={x:v(r,\"x\",\"acos\")};return k.runKernel(la,e)}var tx=T({acos_:tH});function eH(r){let e={x:v(r,\"x\",\"acosh\")};return k.runKernel(ua,e)}var ex=T({acosh_:eH});function rH(r){E(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>v(o,`tensors${s}`,\"addN\")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(o=>{if(!Fn(o.shape,e.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let n=t;return k.runKernel(Vo,n)}var uE=T({addN_:rH});function nH(r,t=null,e=!1){let o={x:v(r,\"x\",\"all\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(ca,o,s)}var Jp=T({all_:nH});function oH(r,t=null,e=!1){let o={x:v(r,\"x\",\"any\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(pa,o,s)}var Gu=T({any_:oH});function sH(r,t=0){let n={x:v(r,\"x\",\"argMax\")},o={axis:t};return k.runKernel(Go,n,o)}var Ai=T({argMax_:sH});function iH(r,t=0){let n={x:v(r,\"x\",\"argMin\")},o={axis:t};return k.runKernel(_l,n,o)}var rx=T({argMin_:iH});function aH(r){let e={x:v(r,\"x\",\"asin\")};return k.runKernel(ma,e)}var nx=T({asin_:aH});function lH(r){let e={x:v(r,\"x\",\"asinh\")};return k.runKernel(fa,e)}var ox=T({asinh_:lH});function uH(r){let e={x:v(r,\"x\",\"atan\")};return k.runKernel(da,e)}var sx=T({atan_:uH});function cH(r,t){let e=v(r,\"a\",\"atan2\"),n=v(t,\"b\",\"atan2\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(ga,o)}var ix=T({atan2_:cH});function pH(r){let e={x:v(r,\"x\",\"atanh\")};return k.runKernel(ha,e)}var ax=T({atanh_:pH});function mH(r,t,e,n,o=\"NHWC\",s){let i=r[3],a=[...t,i],u=pE(o);return Wu(r,a,e,s,n,null,null,u)}function G0(r,t,e,n,o,s,i=\"channelsLast\"){let[a,u]=sh(t),l;if(i===\"channelsLast\")l=[a,u,r[3],r[3]];else if(i===\"channelsFirst\")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Wu(r,l,e,n,o,s,!1,i)}function fH(r,t,e,n,o,s,i=\"NDHWC\"){let[a,u,l]=V0(t),c,p;if(i===\"NDHWC\")p=\"channelsLast\",c=[a,u,l,r[4],r[4]];else if(i===\"NCDHW\")p=\"channelsFirst\",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return cE(r,c,e,n,o,!1,p,s)}function Wu(r,t,e,n,o,s,i=!1,a=\"channelsLast\"){let[u,l,c,p]=[-1,-1,-1,-1];if(a===\"channelsLast\")[u,l,c,p]=r;else if(a===\"channelsFirst\")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=sh(e),[x,b]=sh(n),w=Qp(m,x),C=Qp(f,b),{padInfo:N,outHeight:_,outWidth:A}=gH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a===\"channelsFirst\"?F=[u,$,_,A]:a===\"channelsLast\"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function cE(r,t,e,n,o,s=!1,i=\"channelsLast\",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i===\"channelsLast\")[u,l,c,p,m]=r;else if(i===\"channelsFirst\")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=V0(e),[C,N,_]=V0(n),A=Qp(f,C),$=Qp(d,N),F=Qp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=xH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i===\"channelsFirst\"?H=[u,q,V,G,W]:i===\"channelsLast\"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function dH(r,t,e,n,o){n==null&&(n=W0(r,t,e));let s=r[0],i=r[1],a=ih((s-t+2*n)/e+1,o),u=ih((i-t+2*n)/e+1,o);return[a,u]}function hH(r,t,e,n,o,s){o==null&&(o=W0(r,t[0],n[0]));let i=[0,0,0,e];for(let a=0;a<3;a++)r[a]+2*o>=t[a]&&(i[a]=ih((r[a]-t[a]+2*o)/n[a]+1,s));return i}function W0(r,t,e,n=1){let o=Qp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function sh(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function V0(r){return typeof r==\"number\"?[r,r,r]:r}function Qp(r,t){return t<=1?r:r+(r-1)*(t-1)}function gH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let f=dH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r===\"same\"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")l={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r==\"object\"){let m=u===\"channelsLast\"?r[1][0]:r[2][0],f=u===\"channelsLast\"?r[1][1]:r[2][1],d=u===\"channelsLast\"?r[2][0]:r[3][0],h=u===\"channelsLast\"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?\"VALID\":\"EXPLICIT\"},c=ih((t-s+m+f)/n+1,a),p=ih((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function xH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(r===\"valid\"&&(r=0),typeof r==\"number\"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=hH([t,e,n,1],[a,u,l],1,[o,s,i],r,c);m=g[0],f=g[1],d=g[2]}else if(r===\"same\"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:\"SAME\"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function ih(r,t){if(!t)return Math.trunc(r);switch(t){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function ro(r){let[t,e,n]=sh(r);return t===1&&e===1&&n===1}function $r(r,t){return ro(r)||ro(t)}function $i(r){return sh(r).every(t=>t>0)}function pE(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function ve(r,t,e){if(e!=null){if(typeof t==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t==\"number\")E(aa(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t==\"object\")t.forEach(n=>{n.forEach(o=>{E(aa(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function yH(r,t){let n={x:v(r,\"x\",\"reshape\",\"string_or_numeric\")},o={shape:t};return k.runKernel(gi,n,o)}var R=T({reshape_:yH});function bH(r,t,e,n,o){let s=v(r,\"x\",\"avgPool\",\"float32\"),i=1;E($r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),ve(\"avgPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Wo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Zl=T({avgPool_:bH});function wH(r,t,e,n,o,s=\"NDHWC\"){let i=v(r,\"x\",\"avgPool3d\",\"float32\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),E(typeof e==\"number\"&&e>0||Array.isArray(e)&&e[0]>0&&e[1]>0&&e[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${e}'`),ve(\"avgPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Al,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var lx=T({avgPool3d_:wH});function CH(r,t=0){E(r.length>=1,()=>\"Pass at least one tensor to concat\");let e=Ya(r,\"tensors\",\"concat\",\"string_or_numeric\");if(e[0].dtype===\"complex64\"&&e.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),e.length===1)return an(e[0]);let n=e,o={axis:t};return k.runKernel(ci,n,o)}var oe=T({concat_:CH});function IH(r,t,e=!1,n=!1){let o=v(r,\"a\",\"matMul\"),s=v(t,\"b\",\"matMul\");[o,s]=Ht(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return k.runKernel(Uo,i,a)}var Mt=T({matMul_:IH});function vH(r){let e={x:v(r,\"x\",\"sigmoid\",\"float32\")};return k.runKernel(As,e)}var Qr=T({sigmoid_:vH});function SH(r,t,e){let n=v(r,\"x\",\"slice\",\"string_or_numeric\");if(n.rank===0)throw new Error(\"Slicing scalar is not possible\");let o={x:n},s={begin:t,size:e};return k.runKernel(yi,o,s)}var Rt=T({slice_:SH});function NH(r){let e={x:v(r,\"x\",\"tanh\",\"float32\")};return k.runKernel(Ls,e)}var Di=T({tanh_:NH});function TH(r,t,e,n,o,s){let i=v(r,\"forgetBias\",\"basicLSTMCell\"),a=v(t,\"lstmKernel\",\"basicLSTMCell\"),u=v(e,\"lstmBias\",\"basicLSTMCell\"),l=v(n,\"data\",\"basicLSTMCell\"),c=v(o,\"c\",\"basicLSTMCell\"),p=v(s,\"h\",\"basicLSTMCell\"),m=oe([l,p],1),f=Mt(m,a),d=Y(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Rt(d,[0,0],x),w=Rt(d,[0,g],x),C=Rt(d,[0,g*2],x),N=Rt(d,[0,g*3],x),_=Y(D(Qr(b),Di(w)),D(c,Qr(Y(i,C)))),A=D(Di(_),Qr(N));return[_,A]}var mE=T({basicLSTMCell_:TH});function kH(r,t,e){let n=v(r,\"x\",\"batchToSpaceND\"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(\" * \")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return k.runKernel(ui,s,i)}var Jl=T({batchToSpaceND_:kH});function fE(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function EH(r,t,e,n,o,s){s==null&&(s=.001);let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(a.rank===u.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),E(c==null||a.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),E(l==null||a.rank===l.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:fE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=k.runKernel(ns,m,f);return R(d,i.shape)}var Ri=T({batchNorm_:EH});function _H(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var ux=T({batchNorm2d_:_H});function AH(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var cx=T({batchNorm3d_:AH});function $H(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var px=T({batchNorm4d_:$H});function DH(r,t,e){let n=v(r,\"x\",\"bincount\"),o=v(t,\"weights\",\"bincount\");E(n.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return k.runKernel(cp,s,i)}var mx=T({bincount_:DH});function RH(r,t){let e=v(r,\"s0\",\"broadcastArgs\",\"int32\"),n=v(t,\"s1\",\"broadcastArgs\",\"int32\");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return k.runKernel(pp,o)}var dE=T({broadcastArgs_:RH});function FH(r,t){let e=v(r,\"broadcastTo\",\"x\"),n=e.shape;if(Le(t),t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return an(e);let a={x:e},u={reps:s};return k.runKernel(Qn,a,u)}var Fi=T({broadcastTo_:FH});function OH(r){let e={x:v(r,\"x\",\"ceil\",\"float32\")};return k.runKernel(Ho,e)}var fx=T({ceil_:OH});function yo(r,t,e){Le(r);let n={shape:r,value:t,dtype:e};return k.runKernel(Fl,{},n)}function PH(r,t,e){let n=v(r,\"x\",\"clipByValue\");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return yo(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return k.runKernel(co,o,s)}var vr=T({clipByValue_:PH});function LH(r){return oe(r,0)}var dx=T({concat1d_:LH});function MH(r,t){return oe(r,t)}var hx=T({concat2d_:MH});function zH(r,t){return oe(r,t)}var gx=T({concat3d_:zH});function BH(r,t){return oe(r,t)}var xx=T({concat4d_:BH});function VH(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=v(r,\"x\",\"conv2d\",\"float32\"),u=v(t,\"filter\",\"conv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),ve(\"conv2d\",n,i);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E($r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E($i(s),()=>\"Error in conv2D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv2D: Strides should be larger than 0.\");let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(qo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var vn=T({conv2d_:VH});function GH(r,t,e,n,o=\"NWC\",s=1,i){let a=v(r,\"x\",\"conv1d\"),u=v(t,\"filter\",\"conv1d\"),l=a,c=!1;a.rank===2&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),ve(\"conv1d\",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E($r(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E($i(s),()=>\"Error in conv1D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv1D: Stride should be larger than 0.\"),E(o===\"NWC\",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=R(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=R(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=vn(m,p,[1,e],n,\"NHWC\",[1,s],i);return c?R(g,[g.shape[2],g.shape[3]]):R(g,[g.shape[0],g.shape[2],g.shape[3]])}var tm=T({conv1d_:GH});function WH(r,t,e,n,o,s=\"NHWC\",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s===\"NHWC\"?a[3]:a[1],p=s===\"NHWC\"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),ve(\"conv2dDerInput\",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=k.runKernel(Ko,m,f);return l?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var em=T({conv2DBackpropInput_:WH});function UH(r,t,e,n,o,s){let i=v(r,\"x\",\"conv2dTranspose\"),a=v(t,\"filter\",\"conv2dTranspose\");return em(e,i,a,n,o,\"NHWC\",s)}var rm=T({conv2dTranspose_:UH});function HH(r,t,e,n,o=\"NDHWC\",s=[1,1,1]){let i=v(r,\"x\",\"conv3d\"),a=v(t,\"filter\",\"conv3d\"),u=i,l=!1;i.rank===4&&(l=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E($r(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`),E($i(s),()=>\"Error in conv3D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv3D: Strides should be larger than 0.\");let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=k.runKernel(Dl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var yx=T({conv3d_:HH});function qH(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=k.runKernel(hp,c,p);return a?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var bx=T({conv3DBackpropInput_:qH});function KH(r,t,e,n,o){let s=v(r,\"x\",\"conv3dTranspose\"),i=v(t,\"filter\",\"conv3dTranspose\");return bx(e,s,i,n,o)}var wx=T({conv3dTranspose_:KH});function jH(r){let e={x:v(r,\"x\",\"cos\",\"float32\")};return k.runKernel(jo,e)}var Ql=T({cos_:jH});function XH(r){let e={x:v(r,\"x\",\"cosh\",\"float32\")};return k.runKernel(Xo,e)}var nm=T({cosh_:XH});function YH(r,t=0,e=!1,n=!1){let s={x:v(r,\"x\",\"cumprod\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(xa,s,i)}var Uu=T({cumprod_:YH});function ZH(r,t=0,e=!1,n=!1){let s={x:v(r,\"x\",\"cumsum\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(Yo,s,i)}var om=T({cumsum_:ZH});function JH(r,t,e,n=!1){let o=v(r,\"x\",\"denseBincount\"),s=v(t,\"weights\",\"denseBincount\");E(o.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return k.runKernel(gp,i,a)}var ah=T({denseBincount_:JH});function QH(r,t,e=\"NHWC\"){let n=v(r,\"x\",\"depthToSpace\",\"float32\"),o=e===\"NHWC\"?n.shape[1]:n.shape[2],s=e===\"NHWC\"?n.shape[2]:n.shape[3],i=e===\"NHWC\"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${o} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return k.runKernel(ba,a,u)}var Cx=T({depthToSpace_:QH});function tq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),u=v(t,\"filter\",\"depthwiseConv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),ve(\"depthwiseConv2d\",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Zo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Oi=T({depthwiseConv2d_:tq});function eq(r){let e={x:v(r,\"x\",\"diag\")};return k.runKernel(bp,e)}var hE=T({diag_:eq});function rq(r,t,e,n,o=[1,1],s=\"NHWC\"){let i=v(r,\"x\",\"dilation2d\"),a=v(t,\"filter\",\"dilation2d\");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0),E(u.shape[3]===a.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${u.shape[3]} vs ${a.shape[2]}`);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=k.runKernel(Rl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ix=T({dilation2d_:rq});var Wr={};Ut(Wr,{assertAndGetBroadcastShape:()=>Ot,getBroadcastDims:()=>gE,getReductionAxes:()=>xe});function gE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function xe(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Ot(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;o`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=R(e,[1,-1]),a=R(n,[-1,1]),u=Mt(i,a);return R(u,[])}else if(e.rank===1&&n.rank===2){let i=R(e,[1,-1]),a=R(n,[n.shape[0],n.shape[1]]),u=Mt(i,a);return R(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=R(n,[-1,1]),a=Mt(e,i);return R(a,[a.size])}else{let i=R(n,[n.shape[0],n.shape[1]]);return Mt(e,i)}}var Sx=T({dot_:aq});function lq(r,...t){let e=t.map((o,s)=>v(o,`tensors${s}`,\"einsum\")),n={equation:r};return k.runKernel(wp,e,n)}var xE=T({einsum_:lq});function uq(r){let e={x:v(r,\"x\",\"elu\",\"float32\")};return k.runKernel(Qo,e)}var Pi=T({elu_:uq});function cq(r){let t=v(r,\"x\",\"erf\");E(t.dtype===\"int32\"||t.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),t.dtype===\"int32\"&&(t=J(t,\"float32\"));let e={x:t};return k.runKernel(wa,e)}var Nx=T({erf_:cq});function U0(r,t){for(let e=0;er[s]);return[e,o]}function bo(r,t){let e=t.map(n=>1);return yE(r,e,t)}function pq(r,t,e){E(U0(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function q0(r,t){if(U0(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function lh(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function mq(r,t){let e=[];for(let n=t-r;n\"Axis must be <= rank of the tensor\");let n={input:e},o={dim:t};return k.runKernel(pi,n,o)}var ir=T({expandDims_:Iq});function vq(r){let e={x:v(r,\"x\",\"expm1\")};return k.runKernel(Ia,e)}var kx=T({expm1_:vq});function Sq(r,t){let e=v(r,\"x\",\"tile\",\"string_or_numeric\");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return k.runKernel(Qn,n,o)}var Rr=T({tile_:Sq});function Nq(r,t,e,n=\"float32\"){t==null&&(t=r);let o=bt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),E(aa(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=R(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=k.runKernel(Ol,u,l);return a?R(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var $x=T({localResponseNormalization_:Lq});function Mq(r){let e={x:v(r,\"x\",\"log\",\"float32\")};return k.runKernel(as,e)}var Nr=T({log_:Mq});function zq(r){let e={x:v(r,\"x\",\"log1p\")};return k.runKernel(Aa,e)}var ru=T({log1p_:zq});function Bq(r){return E(ii(r),()=>\"The f passed in grad(f) must be a function\"),(t,e)=>{let n=v(t,\"x\",\"tf.grad\",\"string_or_numeric\"),o=e!=null?v(e,\"dy\",\"tf.grad\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(n),[n],o);return o!=null&&Re(s.shape,o.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),Rx(i),i[0]})}}function Vq(r){return E(ii(r),()=>\"The f passed in grads(f) must be a function\"),(t,e)=>{E(Array.isArray(t),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let n=Ya(t,\"args\",\"tf.grads\",\"string_or_numeric\"),o=e!=null?v(e,\"dy\",\"tf.grads\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(...n),n,o);return o!=null&&Re(s.shape,o.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Rx(i),i})}}function Gq(r){return E(ii(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(t,e)=>{E(t instanceof Ft,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:n,value:o}=k.gradients(()=>r(t),[t],e);return Rx(n),{grad:n[0],value:o}}}function Wq(r){return E(ii(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let n=k.gradients(()=>r(...t),t,e);return e!=null&&Re(n.value.shape,e.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Rx(n.grads),n}}function Dx(r,t){E(ii(r),()=>\"The f passed in variableGrads(f) must be a function\"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Xa),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let e=t!=null;if(!e){t=[];for(let l in k.registeredVariables)t.push(k.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=k.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function cn(r){return k.customGrad(r)}function Rx(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function Uq(r){let e={x:v(r,\"x\",\"neg\")};return k.runKernel(fi,e)}var qt=T({neg_:Uq});function Hq(r){let e={x:v(r,\"x\",\"softplus\")};return k.runKernel(Wa,e)}var Vs=T({softplus_:Hq});function qq(r){let t=v(r,\"x\",\"logSigmoid\");return cn(n=>({value:qt(Vs(qt(n))),gradFunc:i=>D(i,Qr(qt(n)))}))(t)}var Fx=T({logSigmoid_:qq});function Kq(r,t){let e=v(r,\"a\",\"sub\"),n=v(t,\"b\",\"sub\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Os,o)}var lt=T({sub_:Kq});function jq(r,t=-1){let e=v(r,\"logits\",\"logSoftmax\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return cn((o,s)=>{let a=Sr(o,t,!0),u=lt(o,a),l=lt(J(u,\"float32\"),Nr(mt(sr(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=sr(f);return lt(p,D(mt(p,t,d),h))}}})(e)}var im=T({logSoftmax_:jq});function Xq(r,t=null,e=!1){let n=v(r,\"x\",\"logSumExp\"),o=pr(t,n.shape),s=Sr(n,o,!0),i=lt(n,s),a=sr(i),u=mt(a,o),l=Nr(u),c=Y(R(s,l.shape),l);if(e){let p=bo(c.shape,o);return R(c,p)}return c}var am=T({logSumExp_:Xq});function Yq(r,t){let e=v(r,\"a\",\"logicalAnd\",\"bool\"),n=v(t,\"b\",\"logicalAnd\",\"bool\");Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel($a,o)}var Fr=T({logicalAnd_:Yq});function Zq(r){let e={x:v(r,\"x\",\"logicalNot\",\"bool\")};return k.runKernel(Da,e)}var nu=T({logicalNot_:Zq});function Jq(r,t){let e=v(r,\"a\",\"logicalOr\",\"bool\"),n=v(t,\"b\",\"logicalOr\",\"bool\");Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Ra,o)}var lm=T({logicalOr_:Jq});function Qq(r,t){let e=v(r,\"a\",\"logicalXor\",\"bool\"),n=v(t,\"b\",\"logicalXor\",\"bool\");return Ot(e.shape,n.shape),Fr(lm(r,t),nu(Fr(r,t)))}var Ox=T({logicalXor_:Qq});var Px=2147483648;function tK(r,t,e=\"left\"){let n=v(r,\"sortedSequence\",\"searchSorted\"),o=v(t,\"values\",\"searchSorted\"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=R(n,[-1,s]),u=R(o,[-1,i]);if(a.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(a.shape[0]!==u.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(Jt(u.shape)>=Px)throw new Error(`values tensor size must less than ${Px}`);if(a.shape[1]>=Px)throw new Error(`trailing dim_size must less than ${Px} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return k.runKernel(Lp,l,c)}var uh=T({searchSorted_:tK});function CE(r,t){return uh(r,t,\"left\")}function eK(r,t,e,n,o){let s=v(r,\"x\",\"maxPool\"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E($r(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),ve(\"maxPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(cs,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ou=T({maxPool_:eK});function rK(r,t=[1,1,1],e,n,o,s=\"NDHWC\"){let i=v(r,\"x\",\"maxPool3d\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),ve(\"maxPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Pl,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Lx=T({maxPool3d_:rK});function nK(r,t,e,n,o=!1){let i={x:v(r,\"x\",\"maxPoolWithArgmax\")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=k.runKernel(_p,i,a);return{result:u[0],indexes:u[1]}}var IE=T({maxPoolWithArgmax_:nK});function oK(r,t){let e=v(r,\"a\",\"maximum\"),n=v(t,\"b\",\"maximum\");[e,n]=Ht(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(us,o)}var Sn=T({maximum_:oK});function sK(r,t=null,e=!1){let o={x:v(r,\"x\",\"mean\")},s={axis:t,keepDims:e};return k.runKernel(ps,o,s)}var Ne=T({mean_:sK});function Te(r,t=\"float32\"){if(Le(r),t===\"complex64\"){let n=Te(r,\"float32\"),o=Te(r,\"float32\");return In(n,o)}let e=ap(Jt(r),t);return k.makeTensor(e,r,t)}function fr(r,t=\"float32\"){if(Le(r),t===\"complex64\"){let n=fr(r,\"float32\"),o=Te(r,\"float32\");return In(n,o)}let e=Ud(Jt(r),t);return k.makeTensor(e,r,t)}function vE(r,t,{indexing:e=\"xy\"}={}){if(e!==\"xy\"&&e!==\"ij\")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=v(r,\"x\",\"meshgrid\",r instanceof Ft?r.dtype:\"float32\");if(t===void 0)return[n];let o=v(t,\"y\",\"meshgrid\",t instanceof Ft?t.dtype:\"float32\"),s=Jt(n.shape),i=Jt(o.shape);return e===\"xy\"?(n=R(n,[1,-1]),o=R(o,[-1,1]),[Mt(fr([i,1],n.dtype),n),Mt(o,fr([1,s],o.dtype))]):(n=R(n,[-1,1]),o=R(o,[1,-1]),[Mt(n,fr([1,i],n.dtype)),Mt(fr([s,1],o.dtype),o)])}function iK(r,t){let e=v(r,\"a\",\"minimum\"),n=v(t,\"b\",\"minimum\");[e,n]=Ht(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(fs,o)}var zi=T({minimum_:iK});function aK(r,t,e){E(e===\"reflect\"||e===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=v(r,\"x\",\"mirrorPad\");if(n.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e===\"reflect\"?1:0;for(let a=0;a\"Invalid number of paddings. Must be length of 2 each.\"),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return k.runKernel(ds,i,s)}var Mx=T({mirrorPad_:aK});function lK(r,t){let e=v(r,\"a\",\"mod\"),n=v(t,\"b\",\"mod\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Fa,o)}var zx=T({mod_:lK});function uK(r,t=null,e=!1){r=v(r,\"x\",\"moments\");let n=pr(t,r.shape),o=Ne(r,n,e),s=o.shape;e||(s=bo(o.shape,n));let i=zt(lt(J(r,\"float32\"),R(o,s))),a=Ne(i,n,e);return{mean:o,variance:a}}var qu=T({moments_:uK});function cK(r,t,e,n){let o=v(t,\"data\",\"multiRNNCell\"),s=Ya(e,\"c\",\"multiRNNCell\"),i=Ya(n,\"h\",\"multiRNNCell\"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?R(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=k.runKernel(Ap,u,l);return i===1?R(c,[c.size]):c}var NE=T({multinomial_:pK});function mK(r,t){let e=v(r,\"a\",\"notEqual\",\"string_or_numeric\"),n=v(t,\"b\",\"notEqual\",\"string_or_numeric\");[e,n]=Ht(e,n),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Oa,o)}var Gs=T({notEqual_:mK});function fK(r,t,e=1,n=0,o=\"int32\"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:v(r,\"indices\",\"oneHot\",\"int32\")},a={dtype:o,depth:t,onValue:e,offValue:n};return k.runKernel(gs,i,a)}var Bi=T({oneHot_:fK});function dK(r){let e={x:v(r,\"x\",\"onesLike\")};return k.runKernel(di,e)}var wr=T({onesLike_:dK});function hK(r,t){let e=v(r,\"v1\",\"outerProduct\"),n=v(t,\"v2\",\"outerProduct\");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=R(e,[-1,1]),s=R(n,[1,-1]);return Mt(o,s)}var TE=T({outerProduct_:hK});function gK(r,t,e=0){let n=v(r,\"x\",\"pad\");if(n.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let o={paddings:t,constantValue:e},s={x:n};return k.runKernel(xs,s,o)}var pn=T({pad_:gK});function xK(r,t,e=0){return E(t.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),pn(r,[t],e)}var kE=T({pad1d_:xK});function yK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var EE=T({pad2d_:yK});function bK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var _E=T({pad3d_:bK});function wK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var AE=T({pad4d_:wK});function CK(r,t,e){let n=v(r,\"x\",\"spaceToBatchND\");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return k.runKernel(bi,o,s)}var su=T({spaceToBatchND_:CK});function IK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n=\"valid\");let a=v(r,\"x\",\"maxPool\"),u=a,l=!1;a.rank===3&&(l=!0,u=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E($r(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=G0(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n===\"same\"?m=SK([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=vK([c.inHeight,c.inWidth],p,m),g=f?n:\"valid\",x=f?u:su(u,p,d),w=(e===\"avg\"?()=>Zl(x,t,s,g,i):()=>ou(x,t,s,g,i))(),C=f?w:Jl(w,p,h);return l?R(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function vK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function SK(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var Bx=T({pool_:IK});function NK(r,t){let e=v(r,\"x\",\"prelu\"),n=v(t,\"alpha\",\"prelu\"),o={x:e,alpha:n};return k.runKernel(bs,o)}var iu=T({prelu_:NK});function TK(r,t=null,e=!1){let n=v(r,\"x\",\"prod\");n.dtype===\"bool\"&&(n=J(n,\"int32\"));let o={x:n},s={axis:t,keepDims:e};return k.runKernel(ws,o,s)}var Vx=T({prod_:TK});function kK(r,t,e,n){let o=r.map((c,p)=>v(c,`tensors${p}`,\"raggedGather\",\"int32\")),s=v(t,\"paramsDenseValues\",\"raggedGather\"),i=v(e,\"indices\",\"raggedGather\",\"int32\"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=k.runKernel($p,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var $E=T({raggedGather_:kK});function EK(r,t,e){let n=v(r,\"starts\",\"raggedRange\"),o=v(t,\"limits\",\"raggedRange\",n.dtype),s=v(e,\"deltas\",\"raggedRange\",n.dtype),i={starts:n,limits:o,deltas:s},a=k.runKernel(Dp,i);return{rtNestedSplits:a[0],rtDenseValues:a[1]}}var DE=T({raggedRange_:EK});function _K(r,t,e,n,o){let s=v(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),i=v(t,\"values\",\"raggedTensorToTensor\"),a=v(e,\"defaultValue\",\"raggedTensorToTensor\",i.dtype),u=n.map((p,m)=>v(p,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return k.runKernel(Rp,l,c)}var RE=T({raggedTensorToTensor_:_K});function AK(r,t,e){Le(r);let n=Jt(r),o=null;if(e==null||e===\"float32\")o=new Float32Array(n);else if(e===\"int32\")o=new Int32Array(n);else if(e===\"bool\")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;sZE,createVideoElement:()=>WK,encodeStrings:()=>QE,expectArrayBuffersEqual:()=>GK,expectArraysClose:()=>MK,expectArraysEqual:()=>BK,expectNumbersClose:()=>JE,expectPromiseToFail:()=>zK,expectValuesInRange:()=>VK,play:()=>UK,testEpsilon:()=>Wx});var LK=.001,ZE=.1;function MK(r,t,e){return e==null&&(e=Wx()),tS(r,t,(n,o)=>eS(n,o,e))}function Wx(){return k.backend.floatPrecision()===32?LK:ZE}function tS(r,t,e){let n=!0;if((mr(r)||mr(t))&&(n=!1),mr(r)&&mr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Gr(r),a=Gr(t);if(!Fn(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=mr(r)?r:zs(r),s=mr(t)?t:zs(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}.\nActual: ${o}.\nExpected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!=\"undefined\"&&expect().nothing()}function BK(r,t){let e=typeof t==\"string\"||typeof t==\"number\"||typeof t==\"boolean\"?[t]:t;return Bo(r)||Bo(r[0])||Bo(t)||Bo(t[0])?tS(r,e,(n,o)=>n==o):tS(r,t,(n,o)=>eS(n,o,0))}function JE(r,t,e){if(e==null&&(e=Wx()),!eS(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!=\"undefined\"&&expect().nothing()}function eS(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function VK(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function GK(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener(\"loadeddata\",n=>e(t)),t.load()})}async function UK(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var ju=class{constructor(t,e,n,o,s){this.mean=t,this.stdDev=e,this.dtype=n,this.nextVal=NaN,this.truncated=o,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let i=s||Math.random();this.random=qx.alea(i.toString())}nextValue(){if(!isNaN(this.nextVal)){let o=this.nextVal;return this.nextVal=NaN,o}let t,e,n=!1;for(;!n;){let o,s,i;do o=2*this.random()-1,s=2*this.random()-1,i=o*o+s*s;while(i>=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype===\"float32\"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},Ux=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=qx.alea(s.toString()),this.randn=new ju(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o==\"number\"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=qx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function HK(r,t,e=1,n=\"float32\",o){if(Le(r),e==null&&(e=1),n==null&&(n=\"float32\"),n!==\"float32\"&&n!==\"int32\")throw new Error(`Unsupported data type ${n}`);let s=new Ux(t,e,n,o),i=bt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),dr(t,0)}var n_=T({reverse1d_:tj});function ej(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),dr(e,t)}var o_=T({reverse2d_:ej});function rj(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),dr(e,t)}var s_=T({reverse3d_:rj});function nj(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),dr(e,t)}var i_=T({reverse4d_:nj});function oj(r){let e={x:v(r,\"x\",\"round\")};return k.runKernel(ks,e)}var cm=T({round_:oj});function sj(r){let e={x:v(r,\"x\",\"rsqrt\",\"float32\")};return k.runKernel(Es,e)}var pm=T({rsqrt_:sj});function ij(r){let e={x:v(r,\"x\",\"selu\")};return k.runKernel(Ba,e)}var mm=T({selu_:ij});function aj(r,t,e,n,o,s=[1,1],i=\"NHWC\"){let a=v(r,\"x\",\"separableConv2d\"),u=v(t,\"depthwiseFilter\",\"separableConv2d\"),l=v(e,\"pointwiseFilter\",\"separableConv2d\"),c=a,p=!1;if(a.rank===3&&(p=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Oi(c,u,n,o,i,s),g=vn(d,l,1,\"valid\",i);return p?R(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var fm=T({separableConv2d_:aj});async function lj(r,t){let e=v(r,\"x\",\"setdiff1d\"),n=v(t,\"y\",\"setdiff1d\");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Rt(n,[t],[e])}var gm=T({slice1d_:mj});function fj(r,t,e){let n=v(r,\"x\",\"slice2d\");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var ph=T({slice2d_:fj});function dj(r,t,e){let n=v(r,\"x\",\"slice3d\");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var xm=T({slice3d_:dj});function hj(r,t,e){let n=v(r,\"x\",\"slice4d\");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var Yu=T({slice4d_:hj});function gj(r,t=-1){let e=v(r,\"logits\",\"softmax\",\"float32\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return k.runKernel(Rs,n,o)}var au=T({softmax_:gj});function xj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Ip,t)}var lu=T({fft_:xj});function yj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(vp,t)}var el=T({ifft_:yj});function bj(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=R(r,[e,t]);n=el(o)}else{let o=[e,2*(t-1)],s=R(tl(r),[e,t]),i=R(tu(r),[e,t]),a=dr(Rt(s,[0,1],[e,t-2]),1),u=D(dr(Rt(i,[0,1],[e,t-2]),1),pt(-1)),l=oe([s,a],1),c=oe([i,u],1),p=R(In(l,c),[o[0],o[1]]);n=el(p)}if(n=tl(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=R(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var ym=T({irfft_:bj});function wj(r,t,e=0){let o={x:v(r,\"x\",\"split\")},s={numOrSizeSplits:t,axis:e};return k.runKernel(wi,o,s)}var hr=T({split_:wj});function Cj(r,t){E(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Rt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=oe([r,Te(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=R(In(o,s),[n,e]),a=lu(i),u=Math.floor(e/2)+1,l=tl(a),c=tu(a),p=hr(l,[u,e-u],l.shape.length-1),m=hr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,R(In(p[0],m[0]),f)}var uu=T({rfft_:Cj});function Ij(r,t){let e=v(r,\"a\",\"squaredDifference\"),n=v(t,\"b\",\"squaredDifference\");[e,n]=Ht(e,n),Ot(e.shape,n.shape);let o={a:e,b:n},s={};return k.runKernel(Fs,o,s)}var bm=T({squaredDifference_:Ij});function vj(r,t){let e=v(r,\"x\",\"squeeze\",\"string_or_numeric\");return R(e,n0(e.shape,t).newShape)}var zn=T({squeeze_:vj});function Sj(r,t=0){let e=Ya(r,\"tensors\",\"stack\",\"string_or_numeric\");E(e.length>=1,()=>\"Pass at least one tensor to tf.stack\"),e.length>0&&E(t<=e[0].rank,()=>\"Axis must be <= rank of the tensor\");let n=e,o={axis:t};return k.runKernel(hi,n,o)}var qe=T({stack_:Sj});function Nj(r,t=0){let n={x:v(r,\"x\",\"step\")},o={alpha:t};return k.runKernel(mo,n,o)}var wo=T({step_:Nj});function Tj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:v(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return k.runKernel(Ha,c,p)}var Xx=T({stridedSlice_:Tj});function kj(r){let e={x:v(r,\"x\",\"tan\",\"float32\")};return k.runKernel(Ps,e)}var Yx=T({tan_:kj});function Ke(r,t){Zn(r);let e=Gr(r,t);if(e.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return sn(r,null,e,t)}function Ws(r,t,e){if(Zn(r),t!=null&&t.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let n=Gr(r,e);if(n.length!==2&&n.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return sn(r,t,n,e)}function Zx(r,t,e){if(Zn(r),t!=null&&t.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let n=Gr(r,e);if(n.length!==3&&n.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function l_(r,t,e){if(Zn(r),t!=null&&t.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let n=Gr(r,e);if(n.length!==4&&n.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function u_(r,t,e){if(Zn(r),t!=null&&t.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let n=Gr(r,e);if(n.length!==5&&n.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function c_(r,t,e){if(Zn(r),t!=null&&t.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let n=Gr(r,e);if(n.length!==6&&n.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return t=t||n,sn(r,t,n,e)}function Ej(r,t=1,e=!0){let n=v(r,\"x\",\"topk\");if(n.rank===0)throw new Error(\"topk() expects the input to be of rank 1 or higher\");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=k.runKernel(qa,s,i);return{values:a,indices:u}}var Jx=T({topk_:Ej});function _j(r,t=0,e=1,n,o){if(Le(r),n!=null&&n===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new ju(t,e,n,!0,o),i=bt(r,n);for(let a=0;a0,()=>\"The input tensor must be at least 1D\");let n={x:e},o={axis:t},[s,i]=k.runKernel(zp,n,o);return{values:s,indices:i}}var Qx=T({unique_:Aj});function $j(r,t,e){let n=v(r,\"x\",\"unsortedSegmentSum\"),o=v(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");E(aa(e),()=>\"numSegments must be of dtype int\");let s={x:n,segmentIds:o},i={numSegments:e};return k.runKernel(Hl,s,i)}var Cm=T({unsortedSegmentSum_:$j});function Dj(r,t=0){let e=v(r,\"x\",\"unstack\",\"string_or_numeric\");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return k.runKernel(Ci,n,o)}var gr=T({unstack_:Dj});function p_(r,t){return uh(r,t,\"right\")}function ty(r,t=!0,e,n){return k.makeVariable(r,t,e,n)}function ey(r,t){let e=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),Re(a.slice(s,s+i),o.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let u=1;for(let h=s;ha).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype===\"complex64\"?B(()=>{let i=tl(n),a=tu(n);return i=k.runKernel(to,{x:i},s),a=k.runKernel(to,{x:a},s),e&&(a=qt(a)),In(i,a)}):k.runKernel(to,o,s)}var Pt=T({transpose_:Pj});function Lj(r,t,e,n,o=!0){let s=v(r,\"v\",\"movingAverage\"),i=v(t,\"x\",\"movingAverage\"),a=v(e,\"decay\",\"movingAverage\");N0(s,i),E(Fn(s.shape,i.shape),()=>\"Shape mismatch in v and x\");let u=pt(1),l=lt(u,a),c=D(lt(i,s),l);if(o){E(n!=null,()=>\"When using zeroDebias: true, step is required.\");let p=v(n,\"step\",\"movingAverage\");c=ut(c,lt(u,ln(a,p)))}return Y(s,c)}var Mj=T({movingAverage_:Lj});var mh={};Ut(mh,{calculateShapes:()=>m_,validateInput:()=>ny,validateUpdateShape:()=>rS});function rS(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;p2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function Gj(r,t,e,n=0){Le(e);let o=v(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=v(t,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),i=v(n,\"defaultValue\",\"sparseToDense\",s.dtype);f_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return k.runKernel(Mp,a,u)}var Wj=T({sparseToDense_:Gj});function Uj(r,t){let e=v(t,\"indices\",\"gatherND\",\"int32\"),o={params:v(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:e};return k.runKernel(Sa,o)}var Hj=T({gatherND_:Uj});function d_(r,t){if(t==null)return r.shape.slice();if(Fn(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=d_(o,e),i=1-t,a=ut(Li(Y(Vi(s,0,1,\"float32\",n),i)),i);return D(o,a)}var nS=T({dropout_:qj});function oS(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function fh(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),Re(n.shape.slice(0,n.shape.length-1),o.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=o0(\"bool\",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hh_,depthwiseConv2d:()=>g_,matMul:()=>x_});function Xj(r,t,e,n,o,s=\"NHWC\",i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s===\"NHWC\"?a.shape[3]:a.shape[1],c=s===\"NHWC\"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),ve(\"conv2dDerFilter\",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return k.runKernel(fp,p,m)}var Im=T({conv2DBackpropFilter_:Xj});function Zu(r,t,e){if(e==null||e===\"linear\")return r;if(e===\"relu\")return D(r,wo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function Ju(r,t){let e=t,n=xe(r.shape,t.shape);return n.length>0&&(e=mt(e,n)),R(e,r.shape)}function Qu(r,t,e,n){if(t===\"linear\")return r;if(t===\"relu\")return Or(r);if(t===\"elu\")return Pi(r);if(t===\"relu6\")return um(r);if(t===\"prelu\")return iu(r,e);if(t===\"leakyrelu\")return eu(r,n);if(t===\"sigmoid\")return Qr(r);throw new Error(`Unknown fused activation ${t}.`)}var tc=(r,t)=>!(r>0)||t===\"linear\";function Yj({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||\"linear\",tc(k.state.gradientDepth,u)===!1){E(o===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=vn(r,t,e,n,o,s,i);return a!=null&&(_=Y(_,a)),Qu(_,u,l,c)}let p=v(r,\"x\",\"conv2d\",\"float32\"),m=v(t,\"filter\",\"conv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),ve(\"fused conv2d\",n,i);let h=o===\"NHWC\"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E($r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=Wu(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=v(a,\"bias\",\"fused conv2d\"),[x]=Ht(x,p),o===\"NHWC\"?Ot(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Ot(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=v(l,\"prelu weights\",\"fused conv2d\")}let w=(_,A)=>{E(o===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=Zu(_,P,u);E(ro(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=em(F.shape,G,$,e,n),q=Im(F,G,$.shape,e,n),H=[W,q];if(V!=null){let K=Ju(V,G);H.push(K)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?cn((A,$,F)=>{let P=k.runKernel(Si,C,N);return F([$,A,P]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):cn((A,$,F,P)=>{let V=k.runKernel(Si,C,N);return P([$,A,V,F]),d&&(V=R(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var h_=T({fusedConv2d_:Yj});function Zj(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return k.runKernel(xp,l,c)}var oy=T({depthwiseConv2dNativeBackpropFilter_:Zj});function Jj(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=k.runKernel(yp,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var sy=T({depthwiseConv2dNativeBackpropInput_:Jj});function Qj({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(tc(k.state.gradientDepth,u)===!1){let N=Oi(r,t,e,n,o,s,i);return a!=null&&(N=Y(N,a)),Qu(N,u,l,c)}let p=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=v(t,\"filter\",\"depthwiseConv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E($r(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),ve(\"fused depthwiseConv2d\",n,i);let h=Wu(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=v(a,\"bias\",\"fused conv2d\"),[g]=Ht(g,p),Ot(h.outShape,g.shape));let x;l!=null&&(x=v(l,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(N,_)=>{E(ro(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=Zu(N,F,u),G=sy($.shape,V,A,e,n,s,i),W=oy($,V,A.shape,e,n,s,i);if(P!=null){let q=Ju(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?cn((_,A,$)=>{let F=k.runKernel(Ni,w,C);return $([A,_,F]),d&&(F=R(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):cn((_,A,$,F)=>{let P=k.runKernel(Ni,w,C);return F([A,_,P,$]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var g_=T({fusedDepthwiseConv2d_:Qj});function t6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s=\"linear\",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(tc(k.state.gradientDepth,s)===!1){let V=Mt(r,t,e,n);return o!=null&&(V=Y(V,o)),Qu(V,s,i,a)}let u=v(r,\"a\",\"fused matMul\"),l=v(t,\"b\",\"fused matMul\");[u,l]=Ht(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Jt(d),x=Jt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Ot(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?R(u,[g,c,m]):R(u,[g,m,c]),N=n?R(l,[x,f,p]):R(l,[x,p,f]),_;o!=null&&(_=v(o,\"bias\",\"fused matMul\"),[_]=Ht(_,u),Ot(w,_.shape));let A;i!=null&&(A=v(i,\"prelu weights\",\"fused matMul\"));let $=(V,G)=>{let[W,q,H,K]=G,X=Zu(R(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Mt(X,q,!1,!0),et=Mt(W,X,!0,!1)):!e&&n?(Z=Mt(X,q,!1,!1),et=Mt(X,W,!0,!1)):e&&!n?(Z=Mt(q,X,!1,!0),et=Mt(W,X,!1,!1)):(Z=Mt(q,X,!0,!0),et=Mt(X,W,!0,!0)),o!=null){let rt=Ju(K,X);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?cn((G,W,q)=>{let H=k.runKernel(vi,F,P);return q([G,W,H]),{value:R(H,w),gradFunc:$}})(C,N):cn((G,W,q,H)=>{let K=k.runKernel(vi,F,P);return H([G,W,K,q]),{value:R(K,w),gradFunc:$}})(C,N,_)}var x_=T({fusedMatMul_:t6});function e6(r){return fh(r,.54,.46)}var y_=T({hammingWindow_:e6});function r6(r){return fh(r,.5,.5)}var iy=T({hannWindow_:r6});function n6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Rt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o===\"bilinear\"||o===\"nearest\",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return k.runKernel(ya,c,p)}var w_=T({cropAndResize_:s6});function i6(r){let t=v(r,\"image\",\"flipLeftRight\",\"float32\");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return k.runKernel(va,e,{})}var C_=T({flipLeftRight_:i6});function a6(r){let t=v(r,\"image\",\"grayscaleToRGB\"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,Rr(t,o)}var I_=T({grayscaleToRGB_:a6});function l6(r,t,e=0,n=.5){let o=v(r,\"image\",\"rotateWithOffset\",\"float32\");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return k.runKernel(ja,s,i)}var v_=T({rotateWithOffset_:l6});function Co(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>\"scores must be a 1D tensor\"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function u6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),i=v(t,\"scores\",\"nonMaxSuppression\",\"float32\"),a=Co(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return k.runKernel(Pa,{boxes:s,scores:i},u)}var S_=T({nonMaxSuppression_:u6});function N_(r,t,e){let n=c6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function c6(r,t,e){return m6(r,t,e||p6)}function p6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function ly(r,t,e,n,o){return sS(r,t,e,n,o,0)}function uy(r,t,e,n,o,s){return sS(r,t,e,n,o,0,!1,s,!0)}function cy(r,t,e,n,o,s){return sS(r,t,e,n,o,s,!0)}function sS(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(T_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=f6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*d6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&N_(l,g,T_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function f6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function d6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function T_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function h6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(t,\"scores\",\"nonMaxSuppressionAsync\"),a=Co(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=ly(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Ke(p,\"int32\")}var k_=h6;function g6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=v(r,\"boxes\",\"nonMaxSuppression\"),a=v(t,\"scores\",\"nonMaxSuppression\"),u=Co(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=k.runKernel(Ma,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var E_=T({nonMaxSuppressionWithScore_:g6});async function x6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(t,\"scores\",\"nonMaxSuppressionAsync\"),u=Co(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=cy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Ke(m,\"int32\"),selectedScores:Ke(f)}}var __=x6;function y6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=v(r,\"boxes\",\"nonMaxSuppression\"),a=v(t,\"scores\",\"nonMaxSuppression\"),u=Co(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=k.runKernel(La,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var A_=T({nonMaxSuppressionPadded_:y6});async function b6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(t,\"scores\",\"nonMaxSuppressionAsync\"),u=Co(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=uy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Ke(d,\"int32\"),validOutputs:pt(h,\"int32\")}}var $_=b6;function w6(r,t,e=!1,n=!1){let o=v(r,\"images\",\"resizeBilinear\");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Ss,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var py=T({resizeBilinear_:w6});function C6(r,t,e=!1,n=!1){let o=v(r,\"images\",\"resizeNearestNeighbor\");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype===\"float32\"||o.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),E(n===!1||e===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(vs,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var my=T({resizeNearestNeighbor_:C6});function I6(r,t=\"binary\",e=!1,n=.5){let o=v(r,\"image\",\"threshold\"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=D(Ke([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype===\"int32\"||o.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t===\"otsu\"||t===\"binary\",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=hr(o,[1,1,1],-1);let g=D(c,s),x=D(p,i),b=D(m,a);f=Y(Y(g,x),b)}else f=r;if(t===\"otsu\"){let g=mx(J(cm(f),\"int32\"),or([]),256);l=v6(g,u)}let d=e?Mn(f,l):Fe(f,l);return J(D(d,255),\"int32\")}function v6(r,t){let e=Ke([-1]),n=Ke([0]),o=Ke([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return k.runKernel(Ka,u,l)}var R_=T({transform_:S6});function N6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=v(r,\"a\",\"bandPart\");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=R(Gi(0,s,1,\"int32\"),[-1,1]),u=Gi(0,i,1,\"int32\"),l=lt(a,u),c=Fr(Mn(l,pt(+t,\"int32\")),un(l,pt(-e,\"int32\"))),p=Te([s,i],n.dtype);return R(qe(gr(R(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var F_=T({bandPart_:N6});function T6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=hr(r,r.shape[0],0).map(o=>zn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return P_(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=gr(R(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=P_(u,t);o.push(l),s.push(c)});let i=R(qe(o,0),r.shape),a=R(qe(s,0),r.shape);return[i,a]}}function P_(r,t=!1){return k.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Hu(e),s=an(r),i=Ws([[1]],[1,1]),a=an(i),u=e>=n?n:e;for(let l=0;l{let f=Rt(s,[l,l],[e-l,1]),d=Qa(f),h=Rt(s,[l,l],[1,1]),g=_e(Fe(h,0),Ws([[-1]]),Ws([[1]])),x=lt(h,D(g,d)),b=ut(f,x);b.shape[0]===1?a=an(i):a=oe([i,Rt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=qt(ut(Mt(g,x),d)),C=Rt(s,[l,0],[e-l,n]),N=D(w,a),_=Pt(a);if(l===0)s=lt(C,Mt(N,Mt(_,C)));else{let F=lt(C,Mt(N,Mt(_,C)));s=oe([Rt(s,[0,0],[l,n]),F],0)}let A=Pt(N),$=Rt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=lt($,Mt(Mt($,a),A));else{let F=lt($,Mt(Mt($,a),A));o=oe([Rt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),Nt([c,p,m])}return!t&&e>n&&(o=Rt(o,[0,0],[e,n]),s=Rt(s,[0,0],[n,n])),[o,s]})}var L_=T({qr_:k6});var Ze;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})(Ze||(Ze={}));function E6(r,t,e=Ze.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"losses\",\"computeWeightedLoss\"),o=null;t!=null&&(o=v(t,\"weights\",\"computeWeightedLoss\"));let s=o==null?n:D(n,o);if(e===Ze.NONE)return s;if(e===Ze.SUM)return mt(s);if(e===Ze.MEAN){if(o==null)return Ne(s);{let i=n.size/o.size,a=ut(mt(s),mt(o));return i>1?ut(a,pt(i)):a}}if(e===Ze.SUM_BY_NONZERO_WEIGHTS){if(o==null)return ut(mt(s),pt(n.size));{let i=D(o,fr(n.shape)),a=J(mt(Gs(i,pt(0))),\"float32\");return ut(mt(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Ur=T({computeWeightedLoss_:E6});function _6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"absoluteDifference\"),s=v(t,\"predictions\",\"absoluteDifference\"),i=null;e!=null&&(i=v(e,\"weights\",\"absoluteDifference\")),Re(o.shape,s.shape,\"Error in absoluteDifference: \");let a=Ee(lt(o,s));return Ur(a,i,n)}var M_=T({absoluteDifference_:_6});function A6(r,t,e,n,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"cosineDistance\"),i=v(t,\"predictions\",\"cosineDistance\"),a=null;n!=null&&(a=v(n,\"weights\",\"cosineDistance\")),Re(s.shape,i.shape,\"Error in cosineDistance: \");let u=pt(1),l=lt(u,mt(D(s,i),e,!0));return Ur(l,a,o)}var z_=T({cosineDistance_:A6});function $6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"hingeLoss\"),s=v(t,\"predictions\",\"hingeLoss\"),i=null;e!=null&&(i=v(e,\"weights\",\"hingeLoss\")),Re(o.shape,s.shape,\"Error in hingeLoss: \");let a=pt(1);o=lt(D(pt(2),o),a);let u=Or(lt(a,D(o,s)));return Ur(u,i,n)}var B_=T({hingeLoss_:$6});function D6(r,t,e,n=1,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"huberLoss\"),i=v(t,\"predictions\",\"huberLoss\"),a=null;e!=null&&(a=v(e,\"weights\",\"huberLoss\")),Re(s.shape,i.shape,\"Error in huberLoss: \");let u=pt(n),l=Ee(lt(i,s)),c=zi(l,u),p=lt(l,c),m=Y(D(pt(.5),zt(c)),D(u,p));return Ur(m,a,o)}var V_=T({huberLoss_:D6});function R6(r,t,e,n=1e-7,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"logLoss\"),i=v(t,\"predictions\",\"logLoss\"),a=null;e!=null&&(a=v(e,\"weights\",\"logLoss\")),Re(s.shape,i.shape,\"Error in logLoss: \");let u=pt(1),l=pt(n),c=qt(D(s,Nr(Y(i,l)))),p=D(lt(u,s),Nr(Y(lt(u,i),l))),m=lt(c,p);return Ur(m,a,o)}var G_=T({logLoss_:R6});function F6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"meanSquaredError\"),s=v(t,\"predictions\",\"meanSquaredError\"),i=null;e!=null&&(i=v(e,\"weights\",\"meanSquaredError\")),Re(o.shape,s.shape,\"Error in meanSquaredError: \");let a=bm(o,s);return Ur(a,i,n)}var W_=T({meanSquaredError_:F6});function O6(r,t){let e=v(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=v(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");Re(e.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let o=Or(n),s=D(n,e),i=ru(sr(qt(Ee(n))));return Y(lt(o,s),i)}function P6(r,t,e,n=0,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=v(t,\"logits\",\"sigmoidCrossEntropy\"),a=null;if(e!=null&&(a=v(e,\"weights\",\"sigmoidCrossEntropy\")),Re(s.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){let l=pt(n),c=pt(1),p=pt(.5);s=Y(D(s,lt(c,l)),D(p,l))}let u=O6(s,i);return Ur(u,a,o)}var U_=T({sigmoidCrossEntropy_:P6});function L6(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return cn((o,s,i)=>{let u=am(s,[e],!0),l=lt(J(s,\"float32\"),u);i([o,l]);let c=qt(D(l,o));return{value:mt(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=bo(f.shape,[e]);return[D(R(f,x),lt(J(h,\"float32\"),sr(g))),D(R(f,x),lt(sr(g),J(h,\"float32\")))]}}})(r,t)}function M6(r,t,e,n=0,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"onehotLabels\",\"softmaxCrossEntropy\"),i=v(t,\"logits\",\"softmaxCrossEntropy\"),a=null;if(e!=null&&(a=v(e,\"weights\",\"softmaxCrossEntropy\")),Re(s.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){let l=pt(n),c=pt(1),p=pt(s.shape[1]);s=Y(D(s,lt(c,l)),ut(l,p))}let u=L6(s,i);return Ur(u,a,o)}var H_=T({softmaxCrossEntropy_:M6});function z6(r,t,e,n){let o=v(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=v(t,\"values\",\"sparseFillEmptyRows\"),i=v(e,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),a=v(n,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=k.runKernel(Ml,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var q_=T({sparseFillEmptyRows_:z6});function B6(r,t,e){let n=v(r,\"inputIndices\",\"sparseReshape\",\"int32\"),o=v(t,\"inputShape\",\"sparseReshape\",\"int32\"),s=v(e,\"newShape\",\"sparseReshape\",\"int32\");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=k.runKernel(Ua,i);return{outputIndices:a[0],outputShape:a[1]}}var K_=T({sparseReshape_:B6});function V6(r,t,e){let n=v(r,\"data\",\"sparseSegmentMean\"),o=v(t,\"indices\",\"sparseSegmentMean\",\"int32\"),s=v(e,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(zl,i)}var j_=T({sparseSegmentMean_:V6});function G6(r,t,e){let n=v(r,\"data\",\"sparseSegmentSum\"),o=v(t,\"indices\",\"sparseSegmentSum\",\"int32\"),s=v(e,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Bl,i)}var X_=T({sparseSegmentSum_:G6});function W6(r,t,e,n,o,s,i,a){let u=v(r,\"data\",\"stringNGrams\",\"string\");if(u.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=v(t,\"dataSplits\",\"stringNGrams\");if(l.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=k.runKernel(Gl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var Y_=T({stringNGrams_:W6});function U6(r,t,e=!0){let n=v(r,\"input\",\"stringSplit\",\"string\"),o=v(t,\"delimiter\",\"stringSplit\",\"string\");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=k.runKernel(Wl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var Z_=T({stringSplit_:U6});function H6(r,t){let e=v(r,\"input\",\"stringToHashBucketFast\",\"string\"),n={numBuckets:t};if(t<=0)throw new Error(\"Number of buckets must be at least 1\");let o={input:e};return k.runKernel(Ul,o,n)}var J_=T({stringToHashBucketFast_:H6});var q6={fft:lu,ifft:el,rfft:uu,irfft:ym},K6={hammingWindow:y_,hannWindow:iy,frame:ay,stft:b_},oo={flipLeftRight:C_,grayscaleToRGB:I_,resizeNearestNeighbor:my,resizeBilinear:py,rotateWithOffset:v_,cropAndResize:w_,nonMaxSuppression:S_,nonMaxSuppressionAsync:k_,nonMaxSuppressionWithScore:E_,nonMaxSuppressionWithScoreAsync:__,nonMaxSuppressionPadded:A_,nonMaxSuppressionPaddedAsync:$_,threshold:D_,transform:R_},iS={bandPart:F_,gramSchmidt:O_,qr:L_},j6={absoluteDifference:M_,computeWeightedLoss:Ur,cosineDistance:z_,hingeLoss:B_,huberLoss:V_,logLoss:G_,meanSquaredError:W_,sigmoidCrossEntropy:U_,softmaxCrossEntropy:H_},X6={sparseFillEmptyRows:q_,sparseReshape:K_,sparseSegmentMean:j_,sparseSegmentSum:X_},Y6={stringNGrams:Y_,stringSplit:Z_,stringToHashBucketFast:J_};var Q={};Ut(Q,{Serializable:()=>dh,SerializationMap:()=>Wi,registerClass:()=>aS});var dh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},Wi=class{constructor(){this.classNameMap={}}static getMap(){return Wi.instance==null&&(Wi.instance=new Wi),Wi.instance}static register(t){Wi.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function aS(r){E(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),E(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),E(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),Wi.register(r)}var Hr=class extends dh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return Nt(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Dx(t,e)}dispose(){this.iterations_!=null&&Nt(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:pt(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Hr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var ec=class extends Hr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adadelta\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=Y(D(u,this.rho),D(zt(a),1-this.rho)),p=D(ut(Se(Y(l,this.epsilon)),Se(Y(u,this.epsilon))),a),m=Y(D(l,this.rho),D(zt(p),1-this.rho));u.assign(c),l.assign(m);let f=Y(D(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Nt(this.accumulatedGrads.map(t=>t.variable)),Nt(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};var rc=class extends Hr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}static get className(){return\"Adagrad\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>yo(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=Y(a,zt(i));a.assign(u);let l=Y(D(ut(i,Se(Y(u,k.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Nt(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};var nc=class extends Hr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=pt(e).variable(),this.accBeta2=pt(n).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adam\"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=lt(1,this.accBeta2);e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=Y(D(p,this.beta2),D(zt(l),1-this.beta2)),d=ut(m,n),h=ut(f,o);c.assign(m),p.assign(f);let g=Y(D(ut(d,Y(Se(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(D(this.accBeta1,this.beta1)),this.accBeta2.assign(D(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&Nt(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(ln(this.beta1,this.iterations_+1)),this.accBeta2.assign(ln(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};var oc=class extends Hr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=pt(0).variable(),this.accBeta1=pt(e).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adamax\"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=ut(-this.learningRate,Y(D(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=D(p,this.beta2),d=Ee(l),h=Sn(f,d);c.assign(m),p.assign(h);let g=Y(D(ut(o,n),ut(m,Y(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(D(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&Nt(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(t){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};var rl=class extends Hr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}static get className(){return\"SGD\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=k.registeredVariables[n];B(()=>{let a=Y(D(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(pt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};var sc=class extends rl{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=pt(this.momentum)}static get className(){return\"Momentum\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=Y(D(this.m,i),a);this.useNesterov?u=Y(D(this.c,Y(a,D(l,this.m))),s):u=Y(D(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Nt(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};var ic=class extends Hr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=k.backend.epsilon()),t==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}static get className(){return\"RMSProp\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=Y(D(u,this.decay),D(zt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=Y(D(p,this.decay),D(a,1-this.decay)),f=ut(D(a,this.learningRate),Se(lt(c,Y(zt(m),this.epsilon)))),d=Y(D(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=lt(s,d);s.assign(h)}else{let p=Y(D(u,this.decay),D(zt(a),1-this.decay)),m=Y(D(l,this.momentum),ut(D(a,this.learningRate),Se(Y(p,this.epsilon))));u.assign(p),l.assign(m);let f=lt(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Nt(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Nt(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&Nt(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};var Z6=[ec,rc,nc,oc,sc,ic,rl];function Q_(){for(let r of Z6)aS(r)}var Pr={};Ut(Pr,{browserFiles:()=>eA,browserHTTPRequest:()=>oA,concatenateArrayBuffers:()=>qp,copyModel:()=>oE,decodeWeights:()=>Kg,encodeWeights:()=>G1,fromMemory:()=>sA,fromMemorySync:()=>fS,getLoadHandlers:()=>j1,getModelArtifactsForJSON:()=>Kp,getModelArtifactsForJSONSync:()=>R0,getModelArtifactsInfoForJSON:()=>ki,getSaveHandlers:()=>K1,getWeightSpecs:()=>Xg,http:()=>dy,isHTTPScheme:()=>fy,listModels:()=>rE,loadWeights:()=>rA,moveModel:()=>sE,registerLoadRouter:()=>q1,registerSaveRouter:()=>H1,removeModel:()=>nE,weightsLoaderFactory:()=>pS,withSaveHandler:()=>iA,withSaveHandlerSync:()=>aA});var J6=\"model\",Q6=\".json\",tX=\".weights.bin\";function tA(r){return new Promise(t=>setTimeout(t)).then(r)}var nl=class{constructor(t){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(nl.URL_SCHEME)&&(t=t.slice(nl.URL_SCHEME.length)),(t==null||t.length===0)&&(t=J6),this.modelJsonFileName=t+Q6,this.weightDataFileName=t+tX}async save(t){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:\"application/octet-stream\"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let n=[{paths:[\"./\"+this.weightDataFileName],weights:t.weightSpecs}],o=jg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:\"application/json\"})),i=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await tA(()=>i.dispatchEvent(new MouseEvent(\"click\"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await tA(()=>a.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:ki(t)}}}};nl.URL_SCHEME=\"downloads://\";var lS=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=Kp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,qp(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>D0(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=D0(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},eX=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(nl.URL_SCHEME)?rX(r.slice(nl.URL_SCHEME.length)):null;Ie.registerSaveRouter(eX);function rX(r=\"model\"){return new nl(r)}function eA(r){return new lS(r)}function uS(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>\"promises must be a none empty array\")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function cS(r,t){t==null&&(t={});let e=t.fetchFunc==null?M().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await uS(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await uS(a,t.onProgress,u,l)}async function rA(r,t=\"\",e,n){return pS(i=>cS(i,{requestInit:n}))(r,t,e)}function pS(r){return async(t,e=\"\",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=nh[x]*Jt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(\", \")}. \nManifest JSON has weights with names: ${a.join(\", \")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith(\"/\")?\"\":\"/\")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Kg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var nX=\"application/octet-stream\",oX=\"application/json\",hh=class{constructor(t,e){if(this.DEFAULT_METHOD=\"POST\",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:[\"./model.weights.bin\"],weights:t.weightSpecs}],o=jg(t,n);e.body.append(\"model.json\",new Blob([JSON.stringify(o)],{type:oX}),\"model.json\"),t.weightData!=null&&e.body.append(\"model.weights.bin\",new Blob([t.weightData],{type:nX}),\"model.weights.bin\");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:ki(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?i+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":i+=\" Please make sure the server is serving valid JSON for this request.\",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Kp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=sX(e),s=this.weightPathPrefix||n,i=Xg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await cS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,qp(l)]}};hh.URL_SCHEME_REGEX=/^https?:\\/\\//;function sX(r){let t=r.lastIndexOf(\"/\"),e=r.lastIndexOf(\"?\"),n=r.substring(0,t),o=e>t?r.substring(e):\"\";return[n+\"/\",o]}function fy(r){return r.match(hh.URL_SCHEME_REGEX)!=null}var nA=(r,t)=>{if(typeof fetch==\"undefined\"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>fy(n)):e=fy(r),e)return dy(r,t)}return null};Ie.registerSaveRouter(nA);Ie.registerLoadRouter(nA);function dy(r,t){return new hh(r,t)}function oA(r,t){return dy(r,t)}var gh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},hy=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},mS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function sA(r,t,e,n){let o=arguments;return new mS(fS(...o))}function fS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new gh(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new gh({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new gh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function iA(r){return new hy(r)}function aA(r){return new hy(r)}var uA={};Ut(uA,{confusionMatrix:()=>lA});function iX(r,t,e){let n=v(r,\"labels\",\"confusionMatrix\"),o=v(t,\"predictions\",\"confusionMatrix\");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Bi(J(n,\"int32\"),e),i=Bi(J(o,\"int32\"),e),a=Pt(s),u=Mt(a,i);return J(u,\"int32\")}var lA=T({confusionMatrix_:iX});var gy={};Ut(gy,{fromPixels:()=>fX,fromPixelsAsync:()=>pX,toPixels:()=>mX});var ac;function cA(r,t=3){if(t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Zd(Xd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Xd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext(\"2d\").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(ac==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")ac=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else ac=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});ac.canvas.width=l,ac.canvas.height=c,ac.drawImage(r,0,0,l,c),p=ac.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!==\"float32\"&&e.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype===\"float32\"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype===\"int32\"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext(\"2d\"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var fX=T({fromPixels_:cA});var xy={};Ut(xy,{prepareAndValidate:()=>pA});function pA(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var ze={};Ut(ze,{assertParamsValid:()=>hX,computeFlatOffset:()=>wX,computeOutShape:()=>xX,getNormalizedAxes:()=>yX,isSliceContinous:()=>bX,maskToAxes:()=>gX,parseSliceParams:()=>hS,sliceInfo:()=>CX,startForAxis:()=>bA,startIndicesWithElidedDims:()=>gA,stopForAxis:()=>wA,stopIndicesWithElidedDims:()=>xA,stridesForAxis:()=>yA,stridesWithElidedDims:()=>fA});var dS=-2,dX=-1;function hX(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function gX(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function xX(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=gA(i,f,d,n,r),p=xA(a,f,d,o,r),m=fA(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=dA(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=dA(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function wA(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function bX(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function wX(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return e==null?s=new Array(o).fill(-1):typeof e==\"number\"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function CX(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=mA(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=mA(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===dS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==dS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function IX(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var CA=\"4.2.0\";var xh=class{static sgd(t){return new rl(t)}static momentum(t,e,n=!1){return new sc(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new ic(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new nc(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new ec(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new oc(t,e,n,o,s)}static adagrad(t,e=.1){return new rc(t,e)}};var lc=xh;var vX=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function yh(){return new Promise(r=>vX(()=>r()))}var S={};Ut(S,{ERF_A1:()=>MX,ERF_A2:()=>zX,ERF_A3:()=>BX,ERF_A4:()=>VX,ERF_A5:()=>GX,ERF_P:()=>LX,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Ui,SELU_SCALE:()=>xS,SELU_SCALEALPHA:()=>gS,applyActivation:()=>Qu,assertAndGetBroadcastShape:()=>Ot,assertAxesAreInnerMostDims:()=>pq,assertParamsConsistent:()=>SX,assignToTypedArray:()=>jX,axesAreInnerMostDims:()=>U0,calculateShapes:()=>m_,checkEinsumDimSizes:()=>t5,checkPadOnDimRoundingMode:()=>ve,combineLocations:()=>yE,combineRaggedTensorToTensorShapes:()=>TX,complexWithEvenIndex:()=>HX,complexWithOddIndex:()=>qX,computeConv2DInfo:()=>Wu,computeConv3DInfo:()=>cE,computeDefaultPad:()=>W0,computeDilation2DInfo:()=>mH,computeOptimalWindowSize:()=>AX,computeOutAndReduceShapes:()=>H0,computeOutShape:()=>NX,computePool2DInfo:()=>G0,computePool3DInfo:()=>fH,convertConv2DDataFormat:()=>pE,decodeEinsumEquation:()=>JX,eitherStridesOrDilationsAreOne:()=>$r,expandShapeToKeepDim:()=>bo,exponent:()=>YX,exponents:()=>XX,fromStringArrayToUint8:()=>C5,fromUint8ToStringArray:()=>w5,getAxesPermutation:()=>q0,getBroadcastDims:()=>gE,getComplexWithIndex:()=>KX,getEinsumComputePath:()=>e5,getEinsumPermutation:()=>QX,getFusedBiasGradient:()=>Ju,getFusedDyActivation:()=>Zu,getImageCenter:()=>$X,getInnerMostAxes:()=>mq,getPermuted:()=>RX,getRaggedRank:()=>EX,getReductionAxes:()=>xe,getReshaped:()=>DX,getReshapedPermuted:()=>FX,getRowPartitionTypesHelper:()=>kX,getSliceBeginCoords:()=>OX,getSliceSize:()=>PX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>s5,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>i5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>a5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>c5,getSparseReshapeInputOutputMismatchErrorMessage:()=>m5,getSparseReshapeInputOutputMultipleErrorMessage:()=>p5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>l5,getSparseReshapeNegativeOutputDimErrorMessage:()=>u5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>g5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>f5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>d5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>h5,getUndoAxesPermutation:()=>lh,isIdentityPermutation:()=>r5,log:()=>l4,mergeRealAndImagArrays:()=>WX,prepareAndValidate:()=>pA,prepareSplitSize:()=>o5,segment_util:()=>bS,shouldFuse:()=>tc,slice_util:()=>ze,splitRealAndImagArrays:()=>UX,stridesOrDilationsArePositive:()=>$i,tupleValuesAreOne:()=>ro,upcastType:()=>lr,validateDefaultValueShape:()=>_X,validateInput:()=>ny,validateUpdateShape:()=>rS,warn:()=>Ti});function SX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function NX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function kX(r){let t={FIRST_DIM_SIZE:Ui.FIRST_DIM_SIZE,VALUE_ROWIDS:Ui.VALUE_ROWIDS,ROW_LENGTHS:Ui.ROW_LENGTHS,ROW_SPLITS:Ui.ROW_SPLITS,ROW_LIMITS:Ui.ROW_LIMITS,ROW_STARTS:Ui.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function EX(r){return r.length===0?0:r[0]===Ui.FIRST_DIM_SIZE?r.length-1:r.length}function _X(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function AX(r){return r<=yy?r:ip(r,Math.floor(Math.sqrt(r)))}function $X(r,t,e){let n=e*(typeof r==\"number\"?r:r[0]),o=t*(typeof r==\"number\"?r:r[1]);return[n,o]}function DX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function FX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s\",ZX=/->/g,IA=\",\",vA=\"...\";function JX(r,t){r=r.replace(/\\s/g,\"\");let e=(r.length-r.replace(ZX,\"\").length)/yS.length;if(e<1)throw new Error(\"Equations without an arrow are not supported.\");if(e>1)throw new Error(`Equation must contain exactly one arrow (\"${yS}\").`);let[n,o]=r.split(yS);E(n.indexOf(vA)===-1,()=>`The ellipsis notation (\"${vA}\") is not supported yet.`);let s=n.split(IA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function t5(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function e5(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function n5(r,t){let e=[];for(let n=0;n\"Number of splits must evenly divide the axis.\"),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>\"There should be only one negative value in split array.\");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>\"The sum of sizes must match the size of the axis dimension.\"),n=t}return n}function s5(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function i5(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function a5(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function l5(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function u5(r,t){return`size ${r} must be non-negative, not ${t}`}function c5(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function p5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a SparseTensor with ${e}\n dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function m5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function f5(){return\"segment ids must be >= 0\"}function d5(){return\"segment ids are not increasing\"}function h5(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function g5(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var bS={};Ut(bS,{collectGatherOpShapeInfo:()=>b5,computeOutShape:()=>y5,segOpComputeOptimalWindowSize:()=>x5});function x5(r,t){let e=!1,n;for(r<=yy?(n=r,e=!0):n=ip(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=ip(r,n+1);return n}function y5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) (\n ${s}).`);if(eUp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function C5(r){return r.map(t=>Kl(t))}var qr={};Ut(qr,{nonMaxSuppressionV3Impl:()=>ly,nonMaxSuppressionV4Impl:()=>uy,nonMaxSuppressionV5Impl:()=>cy,whereImpl:()=>ey});Q_();var by={kernelName:li,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,wo(J(e,\"float32\"),-1))}}};var SA={kernelName:la,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=zt(J(e,\"float32\")),o=Se(lt(pt(1),n));return qt(ut(r,o))}}}};var NA={kernelName:ua,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(lt(zt(J(e,\"float32\")),1));return ut(r,n)}}}};var TA={kernelName:Jn,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(a,n.shape)}}}};var kA={kernelName:Vo,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var EA={kernelName:Go,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var _A={kernelName:_l,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var AA={kernelName:ma,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Se(lt(pt(1),zt(J(e,\"float32\")))))}}};var $A={kernelName:fa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(Y(pt(1),zt(J(e,\"float32\"))));return ut(r,n)}}}};var DA={kernelName:ga,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=Y(zt(e),zt(n)),u=D(r,ut(n,a)),l=xe(e.shape,o);return l.length>0&&(u=mt(u,l)),R(u,e.shape)},b:()=>{let a=Y(zt(e),zt(n)),u=qt(D(r,ut(e,a))),l=xe(n.shape,o);return l.length>0&&(u=mt(u,l)),R(u,n.shape)}}}};var RA={kernelName:da,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(zt(J(e,\"float32\")),1))}}};var FA={kernelName:ha,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,lt(pt(1),zt(J(e,\"float32\"))))}}};function I5(r,t,e,n,o,s){let i=v(r,\"dy\",\"avgPool3dGrad\"),a=v(t,\"input\",\"avgPool3dGrad\"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),ve(\"avgPool3dGrad\",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=k.runKernel(up,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var OA=T({avgPool3dGrad_:I5});var PA={kernelName:Al,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>OA(r,n,o,s,i,a)}}};function v5(r,t,e,n,o){let s=v(r,\"dy\",\"avgPoolGrad\"),i=v(t,\"input\",\"avgPoolGrad\");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=k.runKernel(lp,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var LA=T({avgPoolGrad_:v5});var MA={kernelName:Wo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>LA(r,n,o,s,i)}}};var zA={kernelName:Uo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Mt(r,o,!1,!0),b:()=>Mt(n,r,!0,!1)}:!s&&i?{a:()=>Mt(r,o,!1,!1),b:()=>Mt(r,n,!0,!1)}:s&&!i?{a:()=>Mt(o,r,!1,!0),b:()=>Mt(n,r,!1,!1)}:{a:()=>Mt(o,r,!0,!0),b:()=>Mt(r,n,!0,!0)}}};var BA={kernelName:ui,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>su(r,n,o)}}};var VA={kernelName:p1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>mt(r,a,!0)}}};var GA={kernelName:uo,gradFunc:r=>({x:()=>r.clone()})};var WA={kernelName:Ho,gradFunc:r=>({x:()=>It(r)})};var UA={kernelName:co,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Fr(un(n,o),Mn(n,s)),r,It(r))}}};var HA={kernelName:$l,inputsToSave:[\"x\"],gradFunc:by.gradFunc};var qA={kernelName:ci,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=pr(o,t[0].shape)[0],i=n.map(u=>u[s]);return hr(r,i,s).map(u=>()=>u)}};var KA={kernelName:qo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(ro(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>em(n.shape,r,o,i,a,u),filter:()=>Im(n,r,o.shape,i,a,u)}}};var jA={kernelName:Ko,inputsToSave:[\"dy\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>vn(r,o,s,i,a,1,u),filter:()=>Im(r,n,o.shape,s,i,a,u)}}};function S5(r,t,e,n,o){let s=r;r.rank===4&&(s=R(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return k.runKernel(dp,a,u)}var XA=T({conv3DBackpropFilter_:S5});var YA={kernelName:Dl,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(ro(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>bx(i.shape,r,a,o,s),filter:()=>XA(i,r,a.shape,o,s)}}};var ZA={kernelName:jo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(qt(dm(J(e,\"float32\"))),r)}}};var JA={kernelName:Xo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(hm(J(e,\"float32\")),r)}}};var QA={kernelName:Yo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=q0([o],n.rank),u=om(r,o,s,!i);return a!=null&&(u=Pt(u,a)),u}}}};var t2={kernelName:Zo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(ro(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E($r(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),ve(\"depthwiseConv2d\",s,i),{x:()=>sy(u.shape,r,l,o,s,a,i),filter:()=>oy(u,r,l.shape,o,s,a,i)}}};var e2={kernelName:Rl,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>k.runKernel(Kd,s,e),filter:()=>k.runKernel(jd,i,e)}}};var r2={kernelName:Qo,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>k.runKernel(Cp,n)}}};var n2={kernelName:wa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(sr(qt(zt(e))),2/Math.sqrt(Math.PI));return{x:()=>D(r,n)}}};var o2={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e)}}};var s2={kernelName:pi,inputsToSave:[\"input\"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>R(r,e.shape)}}};var i2={kernelName:Ia,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,sr(e))}}};var a2={kernelName:es,gradFunc:r=>({x:()=>It(r)})};var l2={kernelName:rs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,\"float32\")))}}}};var u2={kernelName:ns,inputsToSave:[\"x\",\"mean\",\"variance\",\"scale\"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?pt(1):a,l=xe(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?R(D(D(r,Rr(R(f,[1,1,1,s.shape[0]]),c)),u),o.shape):R(D(D(r,f),u),o.shape),mean:()=>{let C=D(D(f,pt(-1)),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},variance:()=>{let C=D(D(d,p),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},scale:()=>{let C=D(p,f),N=D(r,C);return s.rank===1&&(N=mt(N,l)),R(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=mt(C,l)),R(C,s.shape)}}}};var m2={kernelName:mi,inputsToSave:[\"x\",\"indices\"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=pr(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=c2(0,p),h=c2(p+1,p+1+f),g=p2([c,[l],m]),x=R(r,g),b=R(o,[l]),w=p2([[p],d,h]),C=Pt(x,w),N=Cm(C,b,n.shape[i]),_=lh(w);return N=Pt(N,_),N},indices:()=>o}}};function c2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var d2={kernelName:po,gradFunc:r=>({x:()=>J(r,\"float32\")})};var h2={kernelName:Ta,gradFunc:r=>({x:()=>It(r)})};var g2={kernelName:ka,gradFunc:r=>({x:()=>It(r)})};var x2={kernelName:ss,gradFunc:r=>({x:()=>It(r)})};var y2={kernelName:is,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=Fe(n,0);return{x:()=>_e(s,r,D(r,o))}}};var b2={kernelName:Aa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(e,1))}}};var w2={kernelName:as,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,J(e,\"float32\"))}}};var C2={kernelName:f1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=sr(n);return lt(r,D(mt(r,o,!0),i))}}}};function N5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return k.runKernel(Tp,a,u)}var I2=T({localResponseNormalizationBackprop_:N5});var v2={kernelName:Ol,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>I2(n,o,r,s,i,a,u)}}};function wy(r,t,e,n){return t.rankD(r,J(Dr(e,t),r.dtype))}}var wS={kernelName:ls,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var S2={kernelName:us,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(un(e,n),\"float32\")),b:()=>D(r,J(sm(e,n),\"float32\"))}}};function T5(r,t,e,n,o,s,i){let a=v(r,\"dy\",\"maxPool3dGrad\"),u=v(t,\"input\",\"maxPool3dGrad\"),l=v(e,\"output\",\"maxPool3dGrad\"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=R(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=R(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),ve(\"maxPool3dGrad\",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=k.runKernel(Ep,d,h);return f?R(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var N2=T({maxPool3dGrad_:T5});var T2={kernelName:Pl,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>N2(r,n,o,s,i,a,u)}}};function k5(r,t,e,n,o,s,i){let a=v(r,\"dy\",\"maxPoolGrad\"),u=v(t,\"input\",\"maxPoolGrad\"),l=v(e,\"output\",\"maxPoolGrad\");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),ve(\"maxPoolGrad\",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return k.runKernel(kp,c,p)}var k2=T({maxPoolGrad_:k5});var E2={kernelName:cs,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>k2(r,n,o,s,i,a)}}};var _2={kernelName:ps,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=pr(o,n.shape),a=H0(n.shape,s)[1],u=Jt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=R(r,c);return ut(D(p,fr(n.shape,\"float32\")),u)}}}};var A2={kernelName:ms,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var $2={kernelName:fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(Mn(e,n),\"float32\")),b:()=>D(r,J(Fe(e,n),\"float32\"))}}};var D2={kernelName:ds,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var R2={kernelName:Fa,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=xe(e.shape,o);return a.length>0?R(mt(r,a),e.shape):r},b:()=>{let a=D(r,qt(Li(ut(e,n)))),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var F2={kernelName:hs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=D(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var O2={kernelName:fi,gradFunc:r=>({x:()=>qt(r)})};var P2={kernelName:gs,inputsToSave:[\"indices\"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Te(e.shape,\"float32\")}}};var L2={kernelName:di,gradFunc:r=>({x:()=>It(r)})};var M2={kernelName:hi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return gr(r,n).map(s=>()=>s)}};var CS={kernelName:xs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var z2={kernelName:ys,inputsToSave:[\"a\",\"b\"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Ot(s.shape,i.shape);return{a:()=>{let c=J(i,\"float32\"),p=D(r,D(c,ln(s,lt(c,pt(1))))),m=xe(s.shape,a);return m.length>0&&(p=mt(p,m)),R(p,s.shape)},b:()=>{let c=Fe(s,0),p=_e(c,Nr(s),It(s)),m=D(r,D(o,p)),f=xe(i.shape,a);return f.length>0&&(m=mt(m,f)),R(m,i.shape)}}}};var B2={kernelName:bs,inputsToSave:[\"x\",\"alpha\"],gradFunc:(r,t)=>{let[e,n]=t,o=Fe(e,0);return{x:()=>_e(o,r,D(r,n)),alpha:()=>{let s=_e(o,It(r),D(r,e)),i=xe(n.shape,r.shape);return i.length>0&&(s=mt(s,i)),R(s,n.shape)}}}};function E5(r,t,e){let n=r.shape.slice();n[e]=1;let o=R(t,n),s=Uu(r,e,!0,!1),i=Uu(r,e,!0,!0),a=D(s,i);return D(o,a)}function _5(r,t,e){let n=r.shape.length,o=n-e.length,s=S.getAxesPermutation(e,n),i=r;s!=null&&(i=Pt(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=E5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=S.getUndoAxesPermutation(s);p=Pt(p,m)}return p}var V2={kernelName:ws,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o==\"number\"?s=[o]:s=o,{x:()=>_5(n,r,s)}}};var G2={kernelName:Jo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,\"float32\")))}}}};var W2={kernelName:Cs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,qt(zt(e)))}}};var U2={kernelName:Ns,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(Mn(e,6),wo(e));return{x:()=>D(r,J(n,\"float32\"))}}};var H2={kernelName:Is,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,J(wo(e),\"float32\"))}}};var q2={kernelName:gi,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e.shape)}}};var K2={kernelName:Ss,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Pp,o,e)}}};var j2={kernelName:vs,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Op,o,e)}}};var X2={kernelName:Ts,gradFunc:(r,t,e)=>{let{dims:n}=e,o=pr(n,r.shape);return{x:()=>dr(r,o)}}};var Y2={kernelName:ks,gradFunc:r=>({x:()=>It(r)})};var Z2={kernelName:Es,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>qt(ut(r,D(ln(e,1.5),2)))}}};var J2={kernelName:xi,inputsToSave:[\"condition\"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),\"float32\"),t:()=>D(r,J(e,r.dtype)),e:()=>D(r,J(nu(e),r.dtype))}}};var Q2={kernelName:Ba,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Fe(e,pt(0)),o=pt(gS),s=pt(xS),i=D(r,s),a=D(D(r,o),sr(J(e,\"float32\")));return _e(n,i,a)}}}};var t$={kernelName:As,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(e,lt(pt(1),e)))}}};var e$={kernelName:Ga,gradFunc:r=>({x:()=>It(r)})};var r$={kernelName:_s,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Ql(J(e,\"float32\")),r)}}};var n$={kernelName:Va,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(nm(J(e,\"float32\")),r)}}};var o$={kernelName:yi,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=hS(n,o,s),l=[];for(let c=0;cpn(r,l)}}};var s$={kernelName:Rs,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=D(r,n);return{logits:()=>lt(i,D(mt(i,[o],s),n))}}};var i$={kernelName:Wa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,Qr(e))}}};var IS={kernelName:bi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Jl(r,n,o)}}};var vS={kernelName:wi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>oe(r,n)}}};var a$={kernelName:$s,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,D(Se(J(e,\"float32\")),2))}}};var l$={kernelName:Vl,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(J(e,\"float32\"),2))}}};var u$={kernelName:Fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=pt(2);return{a:()=>D(r,D(o,lt(e,n))),b:()=>D(r,D(o,lt(n,e)))}}};var c$={kernelName:mo,gradFunc:r=>({x:()=>It(r)})};var p$={kernelName:Os,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(qt(a),n.shape)}}}};var m$={kernelName:Ds,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;pr(s,n.shape).forEach(l=>{o[l]=1});let a=R(r,o),u=D(a,fr(n.shape,\"float32\"));return{x:()=>u}}};var f$={kernelName:Ps,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,zt(Ql(e)))}}};var d$={kernelName:Ls,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(lt(pt(1),zt(e)),r)}}};var h$={kernelName:Qn,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=lh(o);return{x:()=>Pt(r,s)}}};var x$={kernelName:Ci,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>qe(r,o)}}};var y$={kernelName:Hl,inputsToSave:[\"segmentIds\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>A5(r,e)}}};function A5(r,t){let e=Sn(t,It(t)),n=Mi(r,e),o=un(t,pt(0,\"int32\")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var $5=[by,SA,NA,TA,kA,EA,_A,AA,$A,DA,RA,FA,PA,MA,zA,BA,VA,GA,WA,UA,HA,qA,jA,KA,YA,ZA,JA,QA,t2,e2,G2,r2,n2,o2,s2,i2,l2,a2,u2,m2,f2,d2,h2,g2,x2,y2,b2,w2,C2,v2,wS,wS,S2,T2,E2,_2,A2,$2,D2,R2,F2,O2,P2,L2,M2,CS,CS,z2,B2,V2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,e$,r$,n$,o$,s$,i$,IS,IS,vS,vS,a$,u$,l$,c$,p$,m$,f$,d$,h$,g$,x$,y$,b$];for(let r of $5)h1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),tx(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),ex(this)};O().prototype.add=function(r){return this.throwIfDisposed(),Y(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Jp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),Gu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ai(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),rx(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>\"The array must have only 1 element.\"),R(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),R(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),R(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),R(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),R(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),nx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),ox(this)};O().prototype.atan=function(){return this.throwIfDisposed(),sx(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),ix(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),ax(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),Zl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Jl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Ri(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),Fi(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),fx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),vr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),oe([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),tm(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),rm(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),vn(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Ql(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),nm(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),Uu(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),om(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),Cx(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Oi(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Ix(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),vx(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),ut(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Sx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Pi(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Nx(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),Tx(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),sr(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),ir(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),kx(this)};O().prototype.fft=function(){return this.throwIfDisposed(),lu(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Li(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Zp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Mi(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),un(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),Fe(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),el(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),ym(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),Ex(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),_x(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Ax(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),eu(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),Mn(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),sm(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),$x(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Fx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),im(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),am(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Nr(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),ru(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Fr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),nu(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),lm(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Ox(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Mt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),ou(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Sr(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),Sn(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),Ne(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Ja(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),zi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),Mx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),zx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),qt(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Qa(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),Gs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),Bi(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),wr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),pn(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),Bx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),ln(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),iu(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Vx(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),Kx(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Or(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),um(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),R(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),py(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),my(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),dr(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),uu(this)};O().prototype.round=function(){return this.throwIfDisposed(),cm(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),pm(this)};O().prototype.selu=function(){return this.throwIfDisposed(),mm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),fm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Qr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),jx(this)};O().prototype.sin=function(){return this.throwIfDisposed(),dm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),hm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Rt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),au(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),Vs(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),su(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),hr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),Se(this)};O().prototype.square=function(){return this.throwIfDisposed(),zt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),bm(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),zn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return qe(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),wo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),Xx(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),lt(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),mt(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),Yx(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),Di(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),Rr(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,\"bool\")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,\"float32\")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,\"int32\")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),Jx(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Pt(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),Qx(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),Cm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),gr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var Nn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Nn.prototype)}},Kr=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Kr.prototype)}},z=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,z.prototype)}},vt=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vt.prototype)}},vm=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vm.prototype)}};var bh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var Io={};function Sm(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function SS(r){if(!(r==null||typeof r!=\"object\"))if(Array.isArray(r))r.forEach(t=>SS(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n==\"object\"&&(!Array.isArray(n)&&n.type===\"ndarray\"&&typeof n.value==\"number\"?r[e]=n.value:SS(n))}}}function Hi(r,t={},e={},n=\"object\",o=!1){if(typeof r==\"string\"){let s=r,i;if(s in e)i=e[s];else if(s in Io)i=Io[s];else if(i=t[s],i==null)throw new z(`Unknown ${n}: ${r}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new z(`${n}: Improper config format: ${JSON.stringify(s)}.\n'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in Io?[a,u]=Io.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(Io))l[f]=Io[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},Io);for(let f of Object.keys(e))Io[f]=e[f];SS(s.config);let m=u(a,s.config,e,o);return Io=Object.assign({},p),m}else{let l=Object.assign({},Io);for(let p of Object.keys(e))Io[p]=e[p];let c=new a(s.config);return Io=Object.assign({},l),c}}}function D5(r,t){return rt?1:0}function wh(r,t){return-1*D5(r,t)}function No(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function w$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function qi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Cy(r,t,e=0,n=1/0){return so(e>=0),so(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Qe(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Qe(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${C$(r)}.`)}function C$(r){return r===null?\"null\":Array.isArray(r)?\"[\"+r.map(t=>C$(t)).join(\",\")+\"]\":typeof r==\"string\"?`\"${r}\"`:`${r}`}function I$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return Nm.set(e,1),e}else return r}var O5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\\._\\/]*$/);function A$(r){return!!r.match(O5)}function $$(r){return r===parseInt(r.toString(),10)}function To(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function fn(r,t){if(t{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=il(r,1);return Ey(e,[1,t,1])})}function R$(r){let t=[To(r.shape)];return R(r,t)}function F$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],To(r.shape,1)];return R(r,t)}function sl(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[t,0],[e,r.shape[1]]);case 3:return xm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return Yu(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Rt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Rt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new z(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function ES(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[0,t],[r.shape[0],e]);case 3:return xm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return Yu(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Ih(r,t,e,n){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:switch(n){case 1:return sl(r,t,e);case 2:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return sl(r,t,e);case 2:return xm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return sl(r,t,e);case 2:return Yu(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return Yu(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Tm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),oe(r,t)}function AS(r,t){switch(r.rank){case 1:return dx([r,t]);case 2:return hx([r,t],0);case 3:return gx([r,t],0);case 4:return xx([r,t],0);default:throw new z(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function Ey(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new z(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return Rr(r,t)}function km(r,t=0,e=1,n,o){return Xu(r,t,e,n,o)}function ko(r,t,e,n){if(r.rank<2||t.rank<2)throw new vt(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new vt(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return cu.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?_S(r.rank,n,dn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=R(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=R(Pt(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return R(cu.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?_S(r.rank,n,dn()):null,activation:e}),p)}}function _y(r,t,e){return B(()=>(Array.isArray(t)?t=Ke(t,\"int32\"):t=J(t,\"int32\"),Mi(r,t,e)))}function cc(r){return D(r,r)}function _S(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new z(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1,1]):R(t,[1,n[3],n[0],n[1],n[2]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===4){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1]):R(t,[1,n[2],n[0],n[1]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===3){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1]):R(t,[1,n[1],n[0]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,n[0]]):R(t,[1].concat(n))}else if(r<3)return t;throw new z(`Unsupported input rank by biasAdd: ${t.rank}`)}function hn(r,t,e){return B(()=>(e==null&&(e=dn()),Oe(e),Y(r,_S(r.rank,t,e))))}function O$(r,t=1){if(t!==1)throw new vt(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pi(r)}function P$(r){return B(()=>ut(r,Y(Ee(r),1)))}function Ay(r,t,e,n){return B(()=>nS(r,t,e,n))}function L$(r){return B(()=>{let t=Y(.5,D(.2,r));return vr(t,0,1)})}function mu(r,t,e=!1){return e?r():t()}var M$=[\"fanIn\",\"fanOut\",\"fanAvg\"],z$=[\"normal\",\"uniform\",\"truncatedNormal\"];function P5(r){qi(M$,\"FanMode\",r)}function L5(r){qi(z$,\"Distribution\",r)}var gn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Em=class extends gn{apply(t,e){return Te(t,e)}};Em.className=\"Zeros\";Q.registerClass(Em);var fu=class extends gn{apply(t,e){return fr(t,e)}};fu.className=\"Ones\";Q.registerClass(fu);var _m=class extends gn{constructor(t){if(super(),typeof t!=\"object\")throw new z(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new z(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>D(pt(this.value),fr(t,e)))}getConfig(){return{value:this.value}}};_m.className=\"Constant\";Q.registerClass(_m);var Am=class extends gn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return Vi(t,this.minval,this.maxval,e,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Am.className=\"RandomUniform\";Q.registerClass(Am);var $m=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`randomNormal does not support dType ${e}.`);return km(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};$m.className=\"RandomNormal\";Q.registerClass($m);var Dm=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`truncatedNormal does not support dType ${e}.`);return wm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Dm.className=\"TruncatedNormal\";Q.registerClass(Dm);var Rm=class extends gn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new z(\"Identity matrix initializer can only be used for 2D square matrices.\");return D(this.gain,Hu(t[0]))})}getConfig(){return{gain:this.gain}}};Rm.className=\"Identity\";Q.registerClass(Rm);function M5(r,t=\"channelsLast\"){let e,n;if(Oe(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t===\"channelsFirst\"){let o=To(r,2);e=r[1]*o,n=r[0]*o}else if(t===\"channelsLast\"){let o=To(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=To(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var jr=class extends gn{constructor(t){if(super(),t.scale<0)throw new z(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?\"fanIn\":t.mode,P5(this.mode),this.distribution=t.distribution==null?\"normal\":t.distribution,L5(this.distribution),this.seed=t.seed}apply(t,e){let n=M5(t),o=n[0],s=n[1],i=this.scale;if(this.mode===\"fanIn\"?i/=Math.max(1,o):this.mode===\"fanOut\"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution===\"normal\"){let a=Math.sqrt(i);if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`${this.getClassName()} does not support dType ${e}.`);return wm(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return Vi(t,-a,a,e,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};jr.className=\"VarianceScaling\";Q.registerClass(jr);var pc=class extends jr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};pc.className=\"GlorotUniform\";Q.registerClass(pc);var mc=class extends jr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};mc.className=\"GlorotNormal\";Q.registerClass(mc);var fc=class extends jr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};fc.className=\"HeNormal\";Q.registerClass(fc);var dc=class extends jr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};dc.className=\"HeUniform\";Q.registerClass(dc);var hc=class extends jr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};hc.className=\"LeCunNormal\";Q.registerClass(hc);var gc=class extends jr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};gc.className=\"LeCunUniform\";Q.registerClass(gc);var Fm=class extends gn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new vt(\"Random seed is not implemented for Orthogonal Initializer yet.\")}apply(t,e){return B(()=>{if(t.length<2)throw new vt(\"Shape must be at least 2D.\");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=km(n,0,1,\"float32\"),s=iS.gramSchmidt(o);return t[0]>t[1]&&(s=Pt(s)),D(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Fm.className=\"Orthogonal\";Q.registerClass(Fm);var B$={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",heUniform:\"HeUniform\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",leCunUniform:\"LeCunUniform\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function V$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"initializer\")}function ke(r){return Sm(r)}function de(r){if(typeof r==\"string\"){let t=r in B$?B$[r]:r;if(t===\"GlorotNormal\")return new mc;if(t===\"GlorotUniform\")return new pc;if(t===\"HeNormal\")return new fc;if(t===\"HeUniform\")return new dc;if(t===\"LeCunNormal\")return new hc;if(t===\"LeCunUniform\")return new gc;{let e={};return e.className=t,e.config={},V$(e)}}else return r instanceof gn?r:V$(r)}function $y(r){return Array.isArray(r)&&Array.isArray(r[0])}function Om(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function St(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new z(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Bt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new z(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Pm(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var W$=\"Variable\",vh=class{constructor(t,e=\"float32\",n=W$,o=!0,s=null){this.dtype=e==null?\"float32\":e,this.shape=t.shape,this.id=Sy(),n=n==null?W$:n,this.originalName=Ny(n),this.name=Ty(this.originalName),this.trainable_=o,this.constraint=s,this.val=ty(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),B5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function B5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(r.shape)+\" vs. \"+JSON.stringify(t.shape))}function Sh(r){return r.map(t=>t.read())}function Lm(r){r.forEach(t=>{t[0].write(t[1])})}var be=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},en=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=Sy(),i!=null&&(this.originalName=Ny(i),this.name=Ty(this.originalName)),this.rank=e.length}},V5=0,al=class{constructor(t,e){this.callArgs=e,this.id=V5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},G5=0,kt=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=G5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=So(n)+\"_\"+pu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o=\"float32\"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+\"_ib-\"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Kr(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new z(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Tr(this.getNodeAtIndex(t,\"input\").inputTensors)}getOutputAt(t){return Tr(this.getNodeAtIndex(t,\"output\").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use \\`getInputAt(nodeIndex)\\` instead.`);if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} is not connected, no input to return.`);return Tr(this.getNodeAtIndex(0,\"input\").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use \\`getOutputAt(nodeIndex)\\` instead.`);return Tr(this.getNodeAtIndex(0,\"output\").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")}assertInputCompatibility(t){if(t=ye(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=ye(this.inputSpec);if(t.length!==e.length)throw new z(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of ye(t))i.push(a.shape);this.build(Tr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=ye(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Tr(u),this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return i}else{let i=W5(t),a=this.computeOutputShape(i),u,l=U5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new en(l,c,this,ye(t),e,this.name,p)):u=new en(l,a,this,ye(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Nn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new Nn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of \"output shape\" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Kr(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Pm(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Sh(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new z(`You called setWeights(weights) on layer \"${this.name}\" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=Sh(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=ye(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=ye(t);e=ye(e),n=ye(n),o=ye(o),s=Om(s),i=Om(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new al({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function W5(r){r=ye(r);let t=[];for(let e of r)t.push(e.shape);return Tr(t)}function U5(r){return\"float32\"}function $S(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(\",\")+\"|\"+t.names().sort().join(\",\"),p=Ry.get(c),m;if(p==null){let d=q5(i,t);p=d.sorted,m=d.recipientCounts,Ry.put(c,p),Fy.put(c,m)}m={},o||Object.assign(m,Fy.get(c));let f=new Eo(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>\"Expected at least one fetch, got none\");let e=[],n={};if(r.length===1){let o=U$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=U$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:K5(n)}}function K5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function U$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function j5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,H$);var j$={};Ut(j$,{maxNorm:()=>Y5,minMaxNorm:()=>Q5,nonNeg:()=>J5,unitNorm:()=>Z5});function DS(r,t){return B(()=>Se(mt(D(r,r),t,!0)))}var yc=class extends Q.Serializable{getConfig(){return{}}},Mm=class extends yc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=vr(e,0,this.maxValue);return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Mm.className=\"MaxNorm\";Q.registerClass(Mm);var zm=class extends yc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>ut(t,Y(ur(),DS(t,this.axis))))}getConfig(){return{axis:this.axis}}};zm.className=\"UnitNorm\";Q.registerClass(zm);var Bm=class extends yc{apply(t){return Or(t)}};Bm.className=\"NonNeg\";Q.registerClass(Bm);var Vm=class extends yc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=Y(D(this.rate,vr(e,this.minValue,this.maxValue)),D(1-this.rate,e));return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Vm.className=\"MinMaxNorm\";Q.registerClass(Vm);var q$={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function Be(r){return Sm(r)}function K$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"constraint\")}function Ve(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in q$?q$[r]:r,config:{}};return K$(e)}else return r instanceof yc?r:K$(r)}function Y5(r){return new Mm(r)}function Z5(r){return new zm(r)}function J5(){return new Bm}function Q5(r){return new Vm(r)}var X$={};Ut(X$,{constant:()=>r8,glorotNormal:()=>u8,glorotUniform:()=>l8,heNormal:()=>c8,heUniform:()=>p8,identity:()=>i8,leCunNormal:()=>m8,leCunUniform:()=>f8,ones:()=>e8,orthogonal:()=>d8,randomNormal:()=>o8,randomUniform:()=>n8,truncatedNormal:()=>s8,varianceScaling:()=>a8,zeros:()=>t8});function t8(){return new Em}function e8(){return new fu}function r8(r){return new _m(r)}function n8(r){return new Am(r)}function o8(r){return new $m(r)}function s8(r){return new Dm(r)}function i8(r){return new Rm(r)}function a8(r){return new jr(r)}function l8(r){return new pc(r)}function u8(r){return new mc(r)}function c8(r){return new fc(r)}function p8(r){return new dc(r)}function m8(r){return new hc(r)}function f8(r){return new gc(r)}function d8(r){return new Fm(r)}var ED={};Ut(ED,{Layer:()=>kt,RNN:()=>kn,RNNCell:()=>pl,activation:()=>$Y,add:()=>BY,alphaDropout:()=>vZ,average:()=>VY,averagePooling1d:()=>qS,averagePooling2d:()=>KS,averagePooling3d:()=>jS,avgPool1d:()=>YY,avgPool2d:()=>JY,avgPool3d:()=>tZ,avgPooling1d:()=>ZY,avgPooling2d:()=>QY,avgPooling3d:()=>eZ,batchNormalization:()=>KY,bidirectional:()=>hZ,categoryEncoding:()=>EZ,centerCrop:()=>TZ,concatenate:()=>GY,conv1d:()=>IY,conv2d:()=>vY,conv2dTranspose:()=>SY,conv3d:()=>NY,conv3dTranspose:()=>TY,convLstm2d:()=>pZ,convLstm2dCell:()=>mZ,cropping2D:()=>EY,dense:()=>DY,depthwiseConv2d:()=>AY,dot:()=>qY,dropout:()=>RY,elu:()=>gY,embedding:()=>zY,flatten:()=>OY,gaussianDropout:()=>IZ,gaussianNoise:()=>CZ,globalAveragePooling1d:()=>rZ,globalAveragePooling2d:()=>nZ,globalMaxPool1d:()=>xZ,globalMaxPool2d:()=>yZ,globalMaxPooling1d:()=>SD,globalMaxPooling2d:()=>ND,gru:()=>sZ,gruCell:()=>iZ,input:()=>BS,inputLayer:()=>hY,layerNormalization:()=>jY,leakyReLU:()=>yY,lstm:()=>aZ,lstmCell:()=>lZ,masking:()=>SZ,maxPool1d:()=>bZ,maxPool2d:()=>wZ,maxPooling1d:()=>TD,maxPooling2d:()=>kD,maxPooling3d:()=>oZ,maximum:()=>WY,minimum:()=>UY,multiply:()=>HY,permute:()=>MY,prelu:()=>bY,reLU:()=>xY,repeatVector:()=>PY,rescaling:()=>NZ,reshape:()=>LY,resizing:()=>kZ,rnn:()=>fZ,separableConv2d:()=>kY,simpleRNN:()=>uZ,simpleRNNCell:()=>cZ,softmax:()=>wY,spatialDropout1d:()=>FY,stackedRNNCells:()=>dZ,thresholdedReLU:()=>CY,timeDistributed:()=>gZ,upSampling2d:()=>_Y,zeroPadding2d:()=>XY});async function Ki(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!=\"number\"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sY(this.totals[o],D(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]==\"number\"?e[n]=this.totals[n]/this.seen:B(()=>{let o=D(ut(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Ly=class extends ll{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew My(n,t))}var xn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),xn.checkForDuplicate(e),xn.constructors[t]==null&&(xn.constructors[t]=[]),xn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in xn.constructors)xn.constructors[+e].forEach(o=>{if(o===t)throw new z(\"Duplicate callback constructor.\")})}static clear(){xn.constructors={}}static createCallbacks(t){let e=[];for(let n in xn.constructors){let o=+n;t>=o&&e.push(...xn.constructors[o])}return e.map(n=>new n)}};xn.constructors={};function By(r,t,e,n,o,s,i,a,u){let l=new Ly,c=[new RS,...xn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new Py(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function yn(r,t={},e=!1){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"layer\",e)}function Nh(r,t){return B(()=>{r.dtype!==\"float32\"&&(r=J(r,\"float32\"));let e=mt(cc(r),t,!0),n=yo(e.shape,ur()),o=Se(Sn(e,n));return ut(r,o)})}function ji(r,t){return B(()=>Ne(cc(lt(t,r)),-1))}function Gm(r,t){return B(()=>Ne(Ee(lt(t,r)),-1))}function du(r,t){return B(()=>{let e=lt(r,t),n=vr(Ee(r),ur(),Number.MAX_VALUE),o=Ee(ut(e,n));return D(100,Ne(o,-1))})}function g8(r,t){return B(()=>{let e=vr(t,ur(),Number.MAX_VALUE),n=Nr(Y(1,e)),o=vr(r,ur(),Number.MAX_VALUE),s=Nr(Y(1,o));return Ne(cc(lt(n,s)),-1)})}function x8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(cc(e),-1)})}function y8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(e,-1)})}function b8(r,t){return B(()=>{let e=mt(D(r,t),-1),n=Sr(D(lt(1,r),t),-1);return Sn(0,Y(1,lt(n,e)))})}function w8(r,t){return B(()=>{let e=Math.log(2),n=lt(t,r),o=lt(Y(n,Vs(D(-2,n))),e);return Ne(o,-1)})}function bc(r,t,e=!1){return B(()=>{if(e)t=au(t);else{let n=mt(t,t.shape.length-1,!0);t=ut(t,n)}return t=vr(t,ur(),1-ur()),qt(mt(D(J(r,\"float32\"),Nr(t)),t.shape.length-1))})}function Wm(r,t,e=!1){return B(()=>{let n=J(Li(R$(r)),\"int32\");t=vr(t,ur(),1-ur());let o=t.shape,s=R(Bi(n,o[o.length-1]),o);return bc(s,t,e)})}function C8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new z(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Or(t),n=qt(Ee(t));return Y(lt(e,D(t,r)),ru(sr(n)))})}function Um(r,t){return B(()=>{let e;return e=vr(t,ur(),1-ur()),e=Nr(ut(e,lt(1,e))),Ne(C8(r,e),-1)})}function I8(r,t){return B(()=>{let e=vr(r,ur(),1),n=vr(t,ur(),1);return mt(D(r,Nr(ut(e,n))),-1)})}function v8(r,t){return B(()=>{let e=Nr(Y(ur(),t));return Ne(lt(t,D(r,e)),-1)})}function kh(r,t){return B(()=>{let e=Nh(r,-1),n=Nh(t,-1),o=D(e,n);return qt(mt(o,-1))})}var Th={meanSquaredError:ji,meanAbsoluteError:Gm,meanAbsolutePercentageError:du,meanSquaredLogarithmicError:g8,squaredHinge:x8,hinge:y8,categoricalHinge:b8,logcosh:w8,categoricalCrossentropy:bc,sparseCategoricalCrossentropy:Wm,binaryCrossentropy:Um,kullbackLeiblerDivergence:I8,poisson:v8,cosineProximity:kh};function Vy(r){if(typeof r==\"string\"){if(r in Th)return Th[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes(\"softmaxcrossentropy\")&&(t=`Unknown loss ${r}. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy`),new z(t)}else return r}function Eh(r,t){return B(()=>{let e=D(.5,wr(t)),n=tn(Fe(t,e),r.dtype);return Ne(Dr(r,n),-1)})}function _h(r,t){return B(()=>tn(Dr(Ai(r,-1),Ai(t,-1)),\"float32\"))}function J$(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,1))),\"float32\"))}function S8(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,0))),\"float32\"))}function N8(r,t){return B(()=>J(mt(Fr(Dr(r,0),Dr(t,1))),\"float32\"))}function FS(r,t){return B(()=>{let e=J$(r,t),n=N8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),\"float32\")})}function Q$(r,t){return B(()=>{let e=J$(r,t),n=S8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),\"float32\")})}function Wy(r,t){return Um(r,t)}function Uy(r,t){return r.rank===t.rank&&(r=zn(r,[r.rank-1])),t=Ai(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J(Dr(r,t),\"float32\")}var T8=ji,k8=ji,E8=Gm,_8=Gm,A8=du,$8=du,Ah=bc,D8=kh,OS=Wm,Gy={binaryAccuracy:Eh,categoricalAccuracy:_h,precision:FS,categoricalCrossentropy:Ah,sparseCategoricalCrossentropy:OS,mse:T8,MSE:k8,mae:E8,MAE:_8,mape:A8,MAPE:$8,cosine:D8};function tD(r){if(typeof r==\"string\"&&r in Gy)return Gy[r];if(typeof r!=\"string\"&&r!=null)return r;throw new z(`Unknown metric ${r}`)}function $h(r){if(so(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r==\"string\")return r;{let t;for(let e of Object.keys(Th))if(Th[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Gy))if(Gy[e]===r){t=e;break}return t!==void 0?t:r.name}}function rD(r){let t={Adagrad:()=>lc.adagrad(.01),Adadelta:()=>lc.adadelta(1,.95,ur()),Adam:()=>lc.adam(.001,.9,.999,ur()),Adamax:()=>lc.adamax(.002,.9,.999,ur(),0),RMSProp:()=>lc.rmsprop(.001,.9,0,ur()),SGD:()=>lc.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new z(`Unknown Optimizer ${r}`)}function LS(r,t,e=!1){if(r==null||typeof r!=\"object\"||Object.getPrototypeOf(r)!==Object.prototype||!PS(r))throw new Error(\"User-defined metadata is expected to be a JSON object, but is not.\");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model \"${t}\" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function PS(r){if(r===null)return!0;if(typeof r==\"object\")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!=\"string\"||!PS(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!PS(t))return!1;return!0}else return!1;else{let t=typeof r;return t===\"string\"||t===\"number\"||t===\"boolean\"}}function nD(r,t,e,n=console.log){let o=O8(r),s=[\"Layer (type)\",\"Input Shape\",\"Output shape\",\"Param #\"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push(\"Receives inputs\"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n(\"_\".repeat(t)),Hy(s,e,n),n(\"=\".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Hy(r,t,e=console.log){let n=\"\";for(let o=0;o0&&(n=n.slice(0,n.length-1)+\" \"),n+=r[o],n=n.slice(0,t[o]),n+=\" \".repeat(t[o]-n.length);e(n)}function P8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(\",\")}catch(u){o=\"multiple\"}try{n=JSON.stringify(r.outputShape)}catch(u){n=\"multiple\"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];Hy(a,t,e)}function L8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(\",\")}catch(p){s=\"multiple\"}try{o=JSON.stringify(r.outputShape)}catch(p){o=\"multiple\"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);No(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;so(C===0,\"input layer has >1 nodes\"),so(N===0,\"input layer has >1 tensors\"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Kr(`The tensor ${b.name} at layer \"${N.name}\" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(Bn.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(wh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof Bn&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(wh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Kr(`Graph disconnected: cannot obtain value for tensor ${N} at layer \"${C.name}\". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Kr(`The name \"${b}\" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new z(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new z(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split(\"/\");a=u.slice(0,-2).concat([u[u.length-1]]).join(\"/\")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new z(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new z(`${i.length} of ${o} weights are not set: ${i}`)}Lm(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Hm}`,e.backend=\"TensorFlow.js\",e}toJSON(t,e=!0){let n=qy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=ye(t);let n=new Eo;for(let o=0;o{t=ye(t);let n;return e==null?n=vo(null,t.length):n=ye(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Om(t);if(e.length!==this.inputLayers.length)throw new z(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(wh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(wh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=ye(p.call(C,h)),w=ye(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=ye(p.call(g,h)),w=ye(p.computeMask(g,x));if(p.activityRegularizer)throw new vt(\"LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Tr(b),w)}function l(g){let x=g.name,b=yn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new z(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!w$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new z(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function M8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r==\"object\"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r==\"object\"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]==\"object\"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Ky(r,t){return M8(r,t,\"classWeight\")}async function jy(r,t,e,n){if(t!=null||n!=null)throw new Error(\"Support sampleWeight is not implemented yet\");if(e!=null){let o=B(()=>{if(r.shape.length===1)return an(r);if(r.shape.length===2){if(r.shape[1]>1)return Ai(r,1);if(r.shape[1]===1)return R(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());Nt(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Ke(i,\"float32\")}else return null}function sD(r,t){return D(r,t)}var z8=32;function lD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \\`{xs: xVal, ys: yVal}\\`, where the two values may be \\`tf.Tensor\\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=iD(\"input\",r.inputNames,e),i=iD(\"output\",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function iD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new z(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function B8(r){if(r.length===3)throw new vt(\"Validation with sample weights is not implemented yet.\");return{xs:r[0],ys:r[1]}}async function uD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig).\"),y.assert(e!=null,()=>\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),r.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(aD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=B8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>\"val_\"+g)):l=u.slice();let c=zy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=By(c,p,e.epochs,null,null,V8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;aD(e.validationData)?C=ye(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=ye(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?z8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new vt(\"Verbose mode is not implemented yet.\");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \\`batches\\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=G8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=lD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(Nt(m),u===0)for(let h=0;hY(s[h],D(d,g))),u>0&&Nt(x)}Nt(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \\`batches\\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function qm(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>sl(n,t,e-t)):sl(r,t,e-t)}function Yy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Yy(e,t)):_y(r,t.dtype===\"int32\"?t:J(t,\"int32\")))}function Zy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}function MS(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function W8(r){return r instanceof Ft}function zS(r){return Array.isArray(r)}function pD(r){return!W8(r)&&!zS(r)}function mD(r,t,e,n=!0,o=\"\"){if(t==null||t.length===0){if(r!=null){let i=!1;if(zS(r)&&r.length>0)i=!0;else if(pD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new z(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(pD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new z(`No data provided for \"${i}\". Need data for each key in: ${t}`);s.push(r[i])}}else if(zS(r)){if(r=r,r.length!==t.length)throw new z(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new z(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=MS(s),e!=null)for(let i=0;i=0&&l!==c)throw new z(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function U8(r,t,e){let n=No(r.map(s=>s.shape[0]));n.sort();let o=No(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new z(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new z(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new z(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function H8(r,t,e){let n=[ji,Um,bc];for(let o=0;o1)throw new z(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r==\"string\"||typeof r==\"function\")e=[r];else if(Array.isArray(r)||typeof r==\"object\")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var K8=\"layers-model\",Vn=class extends Bn{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new z(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");nD(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer==\"string\")this.optimizer_=rD(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Hr))throw new z(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!=\"string\"&&typeof t.loss!=\"function\"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new z(`Unknown entry in loss dictionary: \"${i}\". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output \"${i}\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Vy(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new z(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Vy(a))}else{let i=Vy(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+\"_loss\"))}});let o=q8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+\"_\"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Hs(\"metric\",()=>{for(let i=0;i{let c=\"\",p,m,f;for(let d of l){if(typeof d==\"string\"&&[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Um?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Eh:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Wy):this.lossFunctions[i]===Wm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Uy:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=OS):[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=_h:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Ah);let x;[\"accuracy\",\"acc\"].indexOf(d)!==-1?x=\"acc\":[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(x=\"ce\"),f=m,p=c+x}else f=tD(d),p=c+$h(d);let h;Hs(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Xy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Tr(l)}finally{_o(i[0],t),_o(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),cD(this,t,e)}checkNumSamples(t,e,n,o=\"steps\"){let s;if(n!=null){if(s=null,e!=null)throw new z(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new z(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new z(\"`outputs` is an empty Array, which is not allowed.\");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new Eo;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new z(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new z(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new vt(\"Verbose predictLoop() is not implemented yet.\");let s=Zy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=qm(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Tr(i.map(a=>oe(a,0)))})}predict(t,e={}){let n=MS(t);fD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Xy(o),this.predictLoop(n,o)}finally{_o(n,t)}}predictOnBatch(t){fD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Kr(\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).\");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new z(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error(\"sample weight is not supported yet.\");let l=null;if(o!=null){let c=Ky(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,\"steps\"),a=[];if(o>0)throw new vt(\"Verbose mode is not implemented yet.\");if(s!=null)throw new vt(\"steps mode in testLoop() is not implemented yet\");{let u=Zy(i,n),l=Ke(fn(0,i));for(let c=0;c1){let i=NS(t.slice(0,n),o);s+=`_${i}`}e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=Y(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;l0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new vt(\"validationData including sample weights is not supported yet.\"):new z(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await this.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=qm(o,F,P),i=o,o=qm(o,0,F),p=qm(s,F,P),a=s,s=qm(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);this.checkTrainableWeightsConsistency();let w=this.makeTrainFunction(),C=this.getDedupedMetricsNames(),N,_;g?(this.makeTestFunction(),N=this.testFunction,_=C.slice().concat(C.map(F=>\"val_\"+F))):(N=null,x=[],_=C.slice());let A=zy(n.callbacks,n.yieldEvery);return await this.fitLoop(w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{this.isTraining=!1,_o(o,t),_o(s,e),_o(i,t),_o(a,e),_o(c,u),_o(p,l),m!=null&&Nt(m)}}async fitLoop(t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new z(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");let g=this.checkNumSamples(e,o,f,\"steps_per_epoch\"),x;g!=null&&(x=fn(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=By(a,i,s,m,g,f,o,h,p);b.setModel(this),this.history=w,await b.onTrainBegin(),this.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=sl(_,P,V-P);F.batch=$,F.size=V-P;let W=Yy(e,G),q=t(W);for(let H=0;HSo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]==\"string\")t[o]=So(n[o]);else throw new Error(\"Serialization of non-string loss is not supported.\")}return t}getMetricIdentifiers(){if(typeof this.metrics==\"string\"||typeof this.metrics==\"function\")return[So($h(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>So($h(t)));{let t={};for(let e in this.metrics)t[e]=So($h(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error(\"Loading weight_metrics is not supported yet.\");if(t.loss_weights!=null)throw new Error(\"Loading loss_weights is not supported yet.\");if(t.sample_weight_mode!=null)throw new Error(\"Loading sample_weight_mode is not supported yet.\");let e=wc(t.optimizer_config),n=yn(e),o;if(typeof t.loss==\"string\")o=ol(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>ol(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=ol(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>ol(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=ol(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t==\"string\"){let l=Pr.getSaveHandlers(t);if(l.length===0)throw new z(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new z(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new z(\"LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");let n=await Pr.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:K8,generatedBy:`TensorFlow.js tfjs-layers v${Hm}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l=\"optimizer\",{data:c,specs:p}=await Pr.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=Pr.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(LS(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){LS(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Vn.className=\"Model\";Q.registerClass(Vn);var Jy=class extends Vn{};Jy.className=\"Functional\";Q.registerClass(Jy);async function dD(r,t){\"modelTopology\"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=wc(e),o=yn(n,t);if(r.weightsManifest!=null){let s=await Pr.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),Nt(s)}return o}async function hD(r,t){if(t==null&&(t={}),typeof r==\"string\"){let e=Pr.getLoadHandlers(r,t);if(e.length===0)e.push(Pr.browserHTTPRequest(r,t));else if(e.length>1)throw new z(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return j8(r,void 0,t)}async function j8(r,t,e){if(e==null&&(e={}),r.load==null)throw new z(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=yn(wc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new z(\"LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");let{modelWeights:l,optimizerWeights:c}=X8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),Nt(l),Nt(c.map(p=>p.tensor))}return a}function X8(r,t){let e=Pr.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group===\"optimizer\"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var Xi=class extends Vn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:pu(\"sequential_\"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new z(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof Xi||t instanceof Vn,n;if(e){if(n=t,n.outputs.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(n.inputs.length!==1)throw new z(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new z(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");let o=Dy({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+\"_input\"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new z(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=$S(this.outputs[0])}this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:vo(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Bt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Vn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className===\"Merge\")throw new z(\"Legacy serialization format not supported yet.\");s=e}else y.assert(e.layers!=null,()=>\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof Xi))throw new vt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=yn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new z(\"Cannot set the stopTraining property of a sequential model before it is compiled.\");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new z(\"Cannot get the stopTraining property of a sequential model before it is compiled.\");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};Xi.className=\"Sequential\";Q.registerClass(Xi);function Y8(r){return new Vn(r)}function Z8(r){return new Xi(r)}function BS(r){return Dy(r)}function J8(r,t){xn.registerCallbackConstructor(r,t)}var rn=class extends Q.Serializable{getConfig(){return{}}},Qy=class extends rn{apply(t,e=1){return O$(t,e)}};Qy.className=\"elu\";Q.registerClass(Qy);var tb=class extends rn{apply(t){return mm(t)}};tb.className=\"selu\";Q.registerClass(tb);var eb=class extends rn{apply(t){return Or(t)}};eb.className=\"relu\";Q.registerClass(eb);var rb=class extends rn{apply(t){return B(()=>zi(6,Or(t)))}};rb.className=\"relu6\";Q.registerClass(rb);var nb=class extends rn{apply(t){return t}};nb.className=\"linear\";Q.registerClass(nb);var ob=class extends rn{apply(t){return Qr(t)}};ob.className=\"sigmoid\";Q.registerClass(ob);var sb=class extends rn{apply(t){return L$(t)}};sb.className=\"hardSigmoid\";Q.registerClass(sb);var ib=class extends rn{apply(t){return Vs(t)}};ib.className=\"softplus\";Q.registerClass(ib);var ab=class extends rn{apply(t){return P$(t)}};ab.className=\"softsign\";Q.registerClass(ab);var lb=class extends rn{apply(t){return Di(t)}};lb.className=\"tanh\";Q.registerClass(lb);var Km=class extends rn{apply(t,e=-1){return au(t,e)}};Km.className=\"softmax\";Q.registerClass(Km);var ub=class extends rn{apply(t,e=-1){return im(t,e)}};ub.className=\"logSoftmax\";Q.registerClass(ub);var cb=class extends rn{apply(t,e=1){return B(()=>D(Qr(D(t,e)),t))}};cb.className=\"swish\";Q.registerClass(cb);var pb=class extends rn{apply(t){return B(()=>D(t,Di(Vs(t))))}};pb.className=\"mish\";Q.registerClass(pb);function js(r){return r.getClassName()}function VS(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"activation\")}function Xs(r){if(r==null){let t={};return t.className=\"linear\",t.config={},VS(t)}if(typeof r==\"string\"){let t={};return t.className=r,t.config={},VS(t)}else return r instanceof rn?r:VS(r)}function GS(r){if(r!=null&&typeof r!=\"object\")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var mb=class extends Q.Serializable{},hu=class extends mb{constructor(t){super(),GS(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Te([1]);return this.hasL1&&(e=Y(e,mt(D(this.l1,Ee(t))))),this.hasL2&&(e=Y(e,mt(D(this.l2,cc(t))))),R(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};hu.className=\"L1L2\";Q.registerClass(hu);function yD(r){return GS(r),new hu({l1:r!=null?r.l1:null,l2:0})}function bD(r){return GS(r),new hu({l2:r!=null?r.l2:null,l1:0})}var gD={l1l2:\"L1L2\"};function me(r){return Sm(r)}function xD(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function we(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in gD?gD[r]:r,config:{}};return xD(e)}else return r instanceof mb?r:xD(r)}var jm=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=St(t);let n=Or(t);return this.maxValue!=null&&(n=vr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};jm.className=\"ReLU\";Q.registerClass(jm);var Xm=class extends kt{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=St(t);return eu(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};Xm.className=\"LeakyReLU\";Q.registerClass(Xm);var Ym=class extends kt{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER=\"zeros\",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=we(t.alphaRegularizer),this.alphaConstraint=Ve(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes==\"number\")this.sharedAxes=[t.sharedAxes];else throw new z(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Bt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight(\"alpha\",e,\"float32\",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Oe(t),t===\"channelsFirst\"?Pt(r,[0,2,3,1]):r))}function WS(r,t){return B(()=>(Oe(t),t===\"channelsFirst\"?Pt(r,[0,2,3,4,1]):r))}function tY(r,t,e,n=1,o=\"valid\",s,i=1){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.shape.length!==3)throw new z(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new z(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new z(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s===\"channelsFirst\"&&(r=Pt(r,[0,2,1])),o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");let a=tm(r,t,n,o===\"same\"?\"same\":\"valid\",\"NWC\",i);return e!=null&&(a=hn(a,e)),a})}function wD(r,t,e,n=[1,1],o=\"valid\",s,i,a=null){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==3&&r.rank!==4)throw new z(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new z(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Dh(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return u=cu.conv2d({x:u,filter:t,strides:n,pad:o===\"same\"?\"same\":\"valid\",dilations:i,dataFormat:\"NHWC\",bias:e,activation:a}),s===\"channelsFirst\"&&(u=Pt(u,[0,3,1,2])),u})}function eY(r,t,e,n=[1,1,1],o=\"valid\",s,i){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==4&&r.rank!==5)throw new z(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new z(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=WS(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.\");return a=yx(a,t,n,o===\"same\"?\"same\":\"valid\",\"NDHWC\",i),e!=null&&(a=hn(a,e)),s===\"channelsFirst\"&&(a=Pt(a,[0,4,1,2,3])),a})}var Cc=class extends kt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",Cc.verifyArgs(e),this.rank=t,Qe(this.rank,\"rank\"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new vt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=gu(e.kernelSize,t,\"kernelSize\"),this.strides=gu(e.strides==null?1:e.strides,t,\"strides\"),this.padding=e.padding==null?\"valid\":e.padding,mn(this.padding),this.dataFormat=e.dataFormat==null?\"channelsLast\":e.dataFormat,Oe(this.dataFormat),this.activation=Xs(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Ve(e.biasConstraint),this.biasRegularizer=we(e.biasRegularizer),this.activityRegularizer=we(e.activityRegularizer),this.dilationRate=gu(e.dilationRate==null?1:e.dilationRate,t,\"dilationRate\"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new z(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new z(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new z(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(so(\"kernelSize\"in t,\"required key 'kernelSize' not in config\"),typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,3))throw new z(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:js(this.activation),useBias:this.useBias,biasInitializer:ke(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},xu=class extends Cc{constructor(t,e){super(t,e),this.kernel=null,xu.verifyArgs(e),this.filters=e.filters,Qe(this.filters,\"filters\"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Ve(e.kernelConstraint),this.kernelRegularizer=we(e.kernelRegularizer)}build(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight(\"kernel\",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=St(t);let n,o=this.bias==null?null:this.bias.read(),s=Iy(this.activation.getClassName());if(s!=null&&this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=tY(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=eY(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new vt(\"convolutions greater than 3D are not implemented yet.\");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Bt(t);let e=[],n=this.dataFormat===\"channelsLast\"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},ul=class extends xu{constructor(t){super(2,t),ul.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,2))throw new z(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};ul.className=\"Conv2D\";Q.registerClass(ul);var cl=class extends xu{constructor(t){super(3,t),cl.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new z(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};cl.className=\"Conv3D\";Q.registerClass(cl);var tf=class extends ul{constructor(t){if(super(t),this.inputSpec=[new be({ndim:4})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==4)throw new z(\"Input should have rank 4; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==4)throw new z(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat===\"channelsFirst\"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=Ys(u,m,c,this.padding),h=Ys(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Pt(n,[0,2,3,1]));let x=rm(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(x=Pt(x,[0,3,1,2])),this.bias!=null&&(x=hn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=Ys(e[o],u,i,this.padding),e[s]=Ys(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};tf.className=\"Conv2DTranspose\";Q.registerClass(tf);var ef=class extends cl{constructor(t){if(super(t),this.inputSpec=[new be({ndim:5})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==5)throw new z(\"Input should have rank 5; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==5)throw new z(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat===\"channelsFirst\"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=Ys(l,h,m,this.padding),w=Ys(c,g,f,this.padding),C=Ys(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Pt(n,[0,2,3,4,1]));let _=wx(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(_=Pt(_,[0,4,1,2,3])),this.bias!==null&&(_=hn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s,i;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=Ys(e[o],c,a,this.padding),e[s]=Ys(e[s],p,u,this.padding),e[i]=Ys(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};ef.className=\"Conv3DTranspose\";Q.registerClass(ef);var fb=class extends xu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",this.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new z(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new z(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(e.padding!=null&&e.padding!==\"same\"&&e.padding!==\"valid\")throw new z(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=we(e.depthwiseRegularizer),this.depthwiseConstraint=Ve(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=we(e.pointwiseRegularizer),this.pointwiseConstraint=Ve(e.pointwiseConstraint)}build(t){if(t=Bt(t),t.length{t=St(t);let n;if(this.rank===1)throw new vt(\"1D separable convolution is not implemented yet.\");return this.rank===2&&(this.dataFormat===\"channelsFirst\"&&(t=Pt(t,[0,2,3,1])),n=fm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,\"NHWC\")),this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat===\"channelsFirst\"&&(n=Pt(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.pointwiseInitializer=ke(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseConstraint),t.pointwiseConstraint=Be(this.pointwiseConstraint),t}};fb.className=\"SeparableConv\";var rf=class extends fb{constructor(t){super(2,t)}};rf.className=\"SeparableConv2D\";Q.registerClass(rf);var yu=class extends xu{constructor(t){super(1,t),yu.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,1))throw new z(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};yu.className=\"Conv1D\";Q.registerClass(yu);var nf=class extends kt{constructor(t){super(t),typeof t.cropping==\"number\"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]==\"number\"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?\"channelsLast\":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat===\"channelsFirst\"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=St(t),this.dataFormat===\"channelsLast\"){let n=Ih(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Ih(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Ih(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Ih(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};nf.className=\"Cropping2D\";Q.registerClass(nf);var of=class extends kt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),this.interpolation=t.interpolation==null?\"nearest\":t.interpolation,_$(this.interpolation)}computeOutputShape(t){if(this.dataFormat===\"channelsFirst\"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=St(t),o=n.shape;if(this.dataFormat===\"channelsFirst\"){n=Pt(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation===\"nearest\"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i]);return Pt(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation===\"nearest\"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};of.className=\"UpSampling2D\";Q.registerClass(of);function rY(r,t,e=[1,1],n=\"valid\",o,s){return B(()=>{o==null&&(o=dn()),Oe(o);let i=Dh(r,o);if(r.rank!==4)throw new z(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new z(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Oi(i,t,e,n===\"same\"?\"same\":\"valid\",\"NHWC\",s),o===\"channelsFirst\"&&(i=Pt(i,[0,3,1,2])),i})}var sf=class extends Cc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Ve(t.depthwiseConstraint),this.depthwiseRegularizer=we(t.depthwiseRegularizer)}build(t){if(t=Bt(t),t.length<4)throw new z(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat===\"channelsFirst\"?1:3;if(t[e]==null||t[e]<0)throw new z(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=St(t);let n=rY(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Tn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Tn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat===\"channelsFirst\"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseRegularizer),t}};sf.className=\"DepthwiseConv2D\";Q.registerClass(sf);function US(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new z(\"When inputs is an array, neither initialState or constants should be provided\");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function HS(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new z(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(fn(2,u));if(t=Pt(t,l),s!=null)throw new vt(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");i&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),o!=null&&(o=J(J(o,\"bool\"),\"float32\"),o.rank===u-1&&(o=ir(o,-1)),o=Pt(o,l)),n&&(t=dr(t,0),o!=null&&(o=dr(o,0)));let c=[],p,m=e,f=t.shape[0],d=gr(t),h;o!=null&&(h=gr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=lt(wr(N),N),A=Y(D(w[0],N),D(m[0],_)),$=m.map((F,P)=>Y(D(w[1][P],N),D(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=qe(c,1)),[p,g,m]})}var kn=class extends kt{constructor(t){super(t);let e;if(t.cell==null)throw new z(\"cell property is missing for the constructor of RNN.\");if(Array.isArray(t.cell)?e=new Sc({cells:t.cell}):e=t.cell,e.stateSize==null)throw new z(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new be({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return fn(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){$y(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new z(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new be({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape[0];if(n==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_=[Te([n,this.cell.stateSize])];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_[0]=Te([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new be({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof en){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=St(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new z(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");let a={training:o},l=HS((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Te(t.shape);return e=mt(e,[1,2]),e=il(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ey(e,[1,n]):e):this.cell.stateSize>1?[Ey(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===kn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),t),e)}static fromConfig(t,e,n={}){let o=e.cell,s=yn(o,n);return new t(Object.assign(e,{cell:s}))}};kn.className=\"RNN\";Q.registerClass(kn);var pl=class extends kt{},Ic=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t),this.kernel=this.addWeight(\"kernel\",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0wr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0wr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=ko(D(t,i),this.kernel.read()):s=ko(t,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),a!=null&&(n=D(n,a));let u=Y(s,ko(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),recurrentInitializer:ke(this.recurrentInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),recurrentConstraint:Be(this.recurrentConstraint),biasConstraint:Be(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}};Ic.className=\"SimpleRNNCell\";Q.registerClass(Ic);var af=class extends kn{constructor(t){t.cell=new Ic(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};af.className=\"SimpleRNN\";Q.registerClass(af);var vc=class extends pl{constructor(t){if(super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.resetAfter)throw new z(\"GRUCell does not support reset_after parameter set to true.\");this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t);let e=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0wr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};lf.className=\"GRU\";Q.registerClass(lf);var ml=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Bt(t);let n=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends gn{apply(u,l){let c=s.apply([i]),p=new fu().apply([i]),m=s.apply([i*2]);return AS(AS(c,p),m)}},e.className=\"CustomInit\",e)}else o=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new z(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0wr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};uf.className=\"LSTM\";Q.registerClass(uf);var Sc=class extends pl{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Hs(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(yn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return Sh(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ay(t(),e),a=()=>mu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var nY=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols==\"function\")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new z(\"ConvRNN2D cell does not support constants\");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Te(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_=[Te(s)];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_[0]=Te(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e===\"channelsFirst\",l=t[u?3:2],c=t[u?4:3],p=Tn(l,o[0],s,i[0],a[0]),m=Tn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};db.className=\"ConvRNN2D\";var Nc=class extends ml{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,Qe(this.filters,\"filters\"),this.kernelSize=gu(n,2,\"kernelSize\"),this.kernelSize.forEach(u=>Qe(u,\"kernelSize\")),this.strides=gu(o||1,2,\"strides\"),this.strides.forEach(u=>Qe(u,\"strides\")),this.padding=s||\"valid\",mn(this.padding),this.dataFormat=i||\"channelsLast\",Oe(this.dataFormat),this.dilationRate=gu(a||1,2,\"dilationRate\"),this.dilationRate.forEach(u=>Qe(u,\"dilationRate\"))}build(t){var e;t=Bt(t);let n=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[n]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight(\"recurrent_kernel\",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends gn{apply(m,f){let d=l.apply([c]),h=fr([c]),g=l.apply([c*2]);return Tm([d,h,g])}},e.className=\"CustomInit\",e)}else u=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new z(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0wr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:D(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0wr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=hr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?hr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=hr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let K=this.recurrentActivation.apply(Y(c,h)),X=this.recurrentActivation.apply(Y(p,g)),Z=Y(D(X,i),D(K,this.activation.apply(Y(m,x)))),et=D(this.recurrentActivation.apply(Y(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=nY(t,[\"units\"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),o)}inputConv(t,e,n,o){let s=vn(t,e,this.strides,o||\"valid\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\",this.dilationRate);return n?hn(s,n,this.dataFormat):s}recurrentConv(t,e){return vn(t,e,1,\"same\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\")}};Nc.className=\"ConvLSTM2DCell\";Q.registerClass(Nc);var cf=class extends db{constructor(t){let e=new Nc(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}};cf.className=\"ConvLSTM2D\";Q.registerClass(cf);var Tc=class extends kt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);if(0Ay(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};Tc.className=\"Dropout\";Q.registerClass(Tc);var pf=class extends Tc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};pf.className=\"SpatialDropout1D\";Q.registerClass(pf);var mf=class extends kt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Ve(t.kernelConstraint),this.biasConstraint=Ve(t.biasConstraint),this.kernelRegularizer=we(t.kernelRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Bt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight(\"kernel\",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Bt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=Iy(this.activation.getClassName()),s;return o!=null?s=ko(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=ko(n,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};mf.className=\"Dense\";Q.registerClass(mf);var ff=class extends kt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Bt(t);for(let e of t.slice(1))if(e==null)throw new z(`The shape of the input to \"Flatten\" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.`);return[t[0],To(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);if(this.dataFormat===\"channelsFirst\"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=St(t);return this.activation.apply(n)})}getConfig(){let t={activation:js(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};df.className=\"Activation\";Q.registerClass(df);var hf=class extends kt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=St(t),D$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};hf.className=\"RepeatVector\";Q.registerClass(hf);var gf=class extends kt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=St(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return R(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};gf.className=\"Reshape\";Q.registerClass(gf);var xf=class extends kt{constructor(t){if(super(t),t.dims==null)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \\`dims\\` to be an Array, but received ${t.dims} instead.`);let e=fn(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new be({ndim:this.dims.length+1})]}computeOutputShape(t){t=Bt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Pt(St(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};xf.className=\"Permute\";Q.registerClass(xf);var yf=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=St(t),o=-1;return Gu(Gs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=-1,s=!0,i=Gu(Gs(n,this.maskValue),o,s);return D(n,J(i,n.dtype))})}};yf.className=\"Masking\";Q.registerClass(yf);var bf=class extends kt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(ye(t.inputLength))}this.inputDim=t.inputDim,Qe(this.inputDim,\"inputDim\"),this.outputDim=t.outputDim,Qe(this.outputDim,\"outputDim\"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=we(t.embeddingsRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.embeddingsConstraint=Ve(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=St(t),Gs(t,It(t))):null)}computeOutputShape(t){if(t=Bt(t),this.inputLength==null)return[...t,this.outputDim];let e=ye(this.inputLength);if(e.length!==t.length-1)throw new z(`\"inputLength\" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);n.dtype!==\"int32\"&&(n=tn(n,\"int32\"));let o=_y(this.embeddings.read(),R(n,[n.size]));return R(o,Bt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ke(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:Be(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};bf.className=\"Embedding\";Q.registerClass(bf);var dl=class extends kt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new vt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new z(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&No(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=qs(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=fn(1,l).concat([0]);n.push(Pt(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=R(Pt(R(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(fn(0,a-1));i=Pt(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an Array\");if(!Array.isArray(t))throw new z(\"`inputs` should be an Array\");if(e.length!==t.length)throw new z(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:ir(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new z(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(t))}mergeFunction(t){return B(()=>Tm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new z(\"A `Concatenate` layer should be called on a list of inputs.\");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an array for Concatenate\");if(!Array.isArray(t))throw new z(\"`inputs` should be an array for Concatenate\");if(e.length!==t.length)throw new z(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new vt(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e==\"number\"&&(e=[e,e]),r.dtype===\"complex64\"||t.dtype===\"complex64\")throw new vt(\"batchDot is not implemented for complex64-type Tensors yet.\");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new z(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new z(`A \\`Dot\\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>Rh(s,t[i].shape.length)):o=[Rh(this.axes,e.shape.length),Rh(this.axes,n.shape.length)],this.normalize&&(e=Nh(e,o[0]),n=Nh(n,o[1])),oY(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[Rh(this.axes,t.length),Rh(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Tf.className=\"Dot\";Q.registerClass(Tf);var kf=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return mu(()=>Y(km(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};kf.className=\"GaussianNoise\";Q.registerClass(kf);var Ef=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return this.rate>0&&this.rate<1?mu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return D(n,km(n.shape,1,s))},()=>n,e.training||!1):n})}};Ef.className=\"GaussianDropout\";Q.registerClass(Ef);var _f=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||St(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return mu(()=>{let s=St(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=un(Vi(n),this.rate);l=tn(l,\"float32\");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=Y(D(s,l),D(Y(l,-1),u));return Y(D(m,c),p)},()=>St(t),e.training||!1)}return t})}};_f.className=\"AlphaDropout\";Q.registerClass(_f);function Fh(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=ux(r,t,e,n,o,s);else if(r.rank===3)i=cx(r,t,e,n,o,s);else if(r.rank===4)i=px(r,t,e,n,o,s);else throw new vt(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function sY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance;return[Fh(r,i,a,e,t,o),i,a]})}function iY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance,u=[];for(let d of fn(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=R(i,u),c=R(a,u),p=t==null?null:R(t,u),m=e==null?null:R(e,u);return[Fh(r,l,c,m,p,o),i,a]})}function aY(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),fn(0,r.rank-1))?sY(r,t,e,n,o):iY(r,t,e,n,o)}var Af=class extends kt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.movingMeanInitializer=de(t.movingMeanInitializer||\"zeros\"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||\"ones\"),this.betaConstraint=Ve(t.betaConstraint),this.gammaConstraint=Ve(t.gammaConstraint),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer)}build(t){t=Bt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new z(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new be({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=St(t),s=o.shape,i=s.length,a=fn(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=vo(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,fn(0,i).slice(0,i-1)),m=()=>{if(p){let b=R(this.movingMean.read(),l),w=R(this.movingVariance.read(),l),C=this.center?R(this.beta.read(),l):null,N=this.scale?R(this.gamma.read(),l):null;return Fh(o,b,w,C,N,this.epsilon)}else return Fh(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=aY(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=D(lt(_,w),N);b.write(lt(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ke(this.betaInitializer),gammaInitializer:ke(this.gammaInitializer),movingMeanInitializer:ke(this.movingMeanInitializer),movingVarianceInitializer:ke(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:Be(this.betaConstraint),gammaConstraint:Be(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};Af.className=\"BatchNormalization\";Q.registerClass(Af);var $f=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis==\"number\"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Bt(t);let e=t.length;typeof this.axis==\"number\"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==No(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight(\"gamma\",n,\"float32\",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight(\"beta\",n,\"float32\",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=St(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=qu(n,this.axis,!0),l=vo(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?R(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new z(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new z(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(e==null&&(e=dn()),e!==\"channelsLast\"&&e!==\"channelsFirst\")throw new z(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e===\"channelsFirst\"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],pn(r,n)})}var Df=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?dn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding==\"number\")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new z(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]==\"number\")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new z(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new z(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e,n;return this.dataFormat===\"channelsFirst\"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>lY(St(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};Df.className=\"ZeroPadding2D\";Q.registerClass(Df);function wb(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1]),n==null&&(n=\"valid\"),o==null&&(o=dn()),s==null&&(s=\"max\"),r=Dh(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=ou(r,t,e,a):i=Zl(r,t,e,a),o===\"channelsFirst\"&&(i=Pt(i,[0,3,1,2])),i})}function CD(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1,1]),n==null&&(n=\"valid\"),o==null&&(o=dn()),s==null&&(s=\"max\"),r=WS(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=Lx(r,t,e,a):i=lx(r,t,e,a),o===\"channelsFirst\"&&(i=Pt(i,[0,4,1,2,3])),i})}var hb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize==\"number\")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]==\"number\")this.poolSize=t.poolSize;else throw new z(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Qe(this.poolSize,\"poolSize\"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides==\"number\")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]==\"number\")this.strides=t.strides;else throw new z(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,mn(this.padding),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){t=Bt(t);let e=Tn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=il(St(t),2);let n=this.poolingFunction(St(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,\"channelsLast\");return zn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},Rf=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"max\")}};Rf.className=\"MaxPooling1D\";Q.registerClass(Rf);var Ff=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"avg\")}};Ff.className=\"AveragePooling1D\";Q.registerClass(Ff);var gb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new z(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Qe(this.poolSize,\"poolSize\"),Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Of=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"max\")}};Of.className=\"MaxPooling2D\";Q.registerClass(Of);var Pf=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"avg\")}};Pf.className=\"AveragePooling2D\";Q.registerClass(Pf);var xb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new z(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Qe(this.poolSize,\"poolSize\"),Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:5})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[4]:t[3];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),o=Tn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Lf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,\"max\")}};Lf.className=\"MaxPooling3D\";Q.registerClass(Lf);var Mf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,\"avg\")}};Mf.className=\"AveragePooling3D\";Q.registerClass(Mf);var yb=class extends kt{constructor(t){super(t),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new vt}},zf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Ne(n,1)})}};zf.className=\"GlobalAveragePooling1D\";Q.registerClass(zf);var Bf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Sr(n,1)})}};Bf.className=\"GlobalMaxPooling1D\";Q.registerClass(Bf);var bb=class extends kt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat===\"channelsLast\"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new vt}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Vf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat===\"channelsLast\"?Ne(n,[1,2]):Ne(n,[2,3])})}};Vf.className=\"GlobalAveragePooling2D\";Q.registerClass(Vf);var Gf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat===\"channelsLast\"?Sr(n,[1,2]):Sr(n,[2,3])})}};Gf.className=\"GlobalMaxPooling2D\";Q.registerClass(Gf);var Cb=class extends kt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=yn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Wf=class extends Cb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Bt(t),t.length<3)throw new z(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Bt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=St(t),HS((i,a)=>[St(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Wf.className=\"TimeDistributed\";Q.registerClass(Wf);function uY(r){qi(k$,\"BidirectionalMergeMode\",r)}var cY=\"concat\",Uf=class extends Cb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=yn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=yn(o),this.forwardLayer.name=\"forward_\"+this.forwardLayer.name,this.backwardLayer.name=\"backward_\"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?cY:t.mergeMode,uY(this.mergeMode),t.weights)throw new vt(\"weights support is not implemented for Bidirectional layer yet.\");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode===\"concat\"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Tr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new z(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");e.initialState=n,i.push(...n);let c=n.map(p=>new be({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new vt(\"Support for constants in Bidirectional layers is not implemented yet.\");let u=i[0]instanceof en;for(let l of i)if(l instanceof en!==u)throw new z(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=dr(s,1));let a;return this.mergeMode===\"concat\"?a=Tm([o,s]):this.mergeMode===\"sum\"?a=Y(o,s):this.mergeMode===\"ave\"?a=D(.5,Y(o,s)):this.mergeMode===\"mul\"?a=D(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Hs(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Hs(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=yn(e.layer);if(delete e.layer,e.numConstants!=null)throw new vt(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");let o=e;return o.layer=n,new t(o)}};Uf.className=\"Bidirectional\";Q.registerClass(Uf);var Hf=class extends kt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=St(t),t.dtype!==\"float32\"&&(t=tn(t,\"float32\")),Y(D(t,this.scale),this.offset)))}};Hf.className=\"Rescaling\";Q.registerClass(Hf);var{resizeBilinear:pY,cropAndResize:mY}=oo,qf=class extends kt{constructor(t){super(t),this.height=t.height,this.width=t.width}centerCrop(t,e,n,o,s,i,a,u){return B(()=>{let l,c=!1,p=e/i,m=n/a,f=(o+e)/i,d=(s+n)/a,h=[p,m,f,d],g=[];t.rank===3?(c=!0,l=qe([t])):l=t;for(let N=0;N{let s=pY(t,[e,n]);return tn(s,o)})}call(t,e){return B(()=>{let n=St(t),o=n.dtype,s=n.shape,i=s[s.length-3],a=s[s.length-2],u=0;i!==this.height&&(u=Math.floor((i-this.height)/2));let l=0;return a!==this.width&&(l=Math.floor((a-this.width)/2),l===0&&(l=1)),u>=0&&l>=0?this.centerCrop(n,u,l,this.height,this.width,i,a,o):this.upsize(t,this.height,this.width,o)})}getConfig(){let t={height:this.height,width:this.width},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){t=Bt(t);let e=t.length-3,n=t.length-2;return t[e]=this.height,t[n]=this.width,t}};qf.className=\"CenterCrop\";Q.registerClass(qf);function ID(r,t,e,n){let o=St(r);if(o.dtype!==\"int32\"&&(o=tn(o,\"int32\")),t===\"int\")return o;let s=o.shape;if(o.rank===0&&(o=ir(o,-1)),t===\"oneHot\"&&o.shape[o.shape.length-1]!==1&&(o=ir(o,-1)),o.rank>2)throw new z(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${o.rank}.`);let i=[\"multiHot\",\"oneHot\"].includes(t),a=o,u;if(typeof n!=\"undefined\"&&t===\"count\"?u=ah(a,n,e,i):u=ah(a,[],e,i),t!==\"tfIdf\")return u;if(n)return D(u,n);throw new z(\"When outputMode is 'tfIdf', weights must be provided.\")}var Kf=class extends kt{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode=\"multiHot\"}getConfig(){let t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Bt(t),t==null?[this.numTokens]:this.outputMode===\"oneHot\"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return B(()=>{t=St(t),t.dtype!==\"int32\"&&(t=tn(t,\"int32\"));let n;if(typeof e.countWeights!=\"undefined\"){if(this.outputMode!==\"count\")throw new z(`countWeights is not used when outputMode !== count.\n Received countWeights=${e.countWeights}`);n=St(e.countWeights)}let o=Sr(t),s=Ja(t),i=Fe(this.numTokens,o).bufferSync().get(0),a=un(s,0).bufferSync().get(0);if(!(i&&a))throw new z(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return ID(t,this.outputMode,this.numTokens,n)})}};Kf.className=\"CategoryEncoding\";Q.registerClass(Kf);var dY=[\"bilinear\",\"nearest\"],vD=new Set(dY),jf=class extends kt{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(vD.has(t.interpolation))this.interpolation=t.interpolation;else throw new z(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation=\"bilinear\";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation===\"bilinear\")return oo.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation===\"nearest\")return oo.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...vD]} are supported`)})}};jf.className=\"Resizing\";Q.registerClass(jf);function hY(r){return new Ks(r)}function gY(r){return new Zm(r)}function xY(r){return new jm(r)}function yY(r){return new Xm(r)}function bY(r){return new Ym(r)}function wY(r){return new Qm(r)}function CY(r){return new Jm(r)}function IY(r){return new yu(r)}function vY(r){return new ul(r)}function SY(r){return new tf(r)}function NY(r){return new cl(r)}function TY(r){return new ef(r)}function kY(r){return new rf(r)}function EY(r){return new nf(r)}function _Y(r){return new of(r)}function AY(r){return new sf(r)}function $Y(r){return new df(r)}function DY(r){return new mf(r)}function RY(r){return new Tc(r)}function FY(r){return new pf(r)}function OY(r){return new ff(r)}function PY(r){return new hf(r)}function LY(r){return new gf(r)}function MY(r){return new xf(r)}function zY(r){return new bf(r)}function BY(r){return new wf(r)}function VY(r){return new If(r)}function GY(r){return new Nf(r)}function WY(r){return new vf(r)}function UY(r){return new Sf(r)}function HY(r){return new Cf(r)}function qY(r){return new Tf(r)}function KY(r){return new Af(r)}function jY(r){return new $f(r)}function XY(r){return new Df(r)}function qS(r){return new Ff(r)}function YY(r){return qS(r)}function ZY(r){return qS(r)}function KS(r){return new Pf(r)}function JY(r){return KS(r)}function QY(r){return KS(r)}function jS(r){return new Mf(r)}function tZ(r){return jS(r)}function eZ(r){return jS(r)}function rZ(r){return new zf(r)}function nZ(r){return new Vf(r)}function SD(r){return new Bf(r)}function ND(r){return new Gf(r)}function TD(r){return new Rf(r)}function kD(r){return new Of(r)}function oZ(r){return new Lf(r)}function sZ(r){return new lf(r)}function iZ(r){return new vc(r)}function aZ(r){return new uf(r)}function lZ(r){return new ml(r)}function uZ(r){return new af(r)}function cZ(r){return new Ic(r)}function pZ(r){return new cf(r)}function mZ(r){return new Nc(r)}function fZ(r){return new kn(r)}function dZ(r){return new Sc(r)}function hZ(r){return new Uf(r)}function gZ(r){return new Wf(r)}var xZ=SD,yZ=ND,bZ=TD,wZ=kD;function CZ(r){return new kf(r)}function IZ(r){return new Ef(r)}function vZ(r){return new _f(r)}function SZ(r){return new yf(r)}function NZ(r){return new Hf(r)}function TZ(r){return new qf(r)}function kZ(r){return new jf(r)}function EZ(r){return new Kf(r)}var _D={};Ut(_D,{MAPE:()=>zZ,MSE:()=>GZ,binaryAccuracy:()=>_Z,binaryCrossentropy:()=>AZ,categoricalAccuracy:()=>DZ,categoricalCrossentropy:()=>RZ,cosineProximity:()=>PZ,mape:()=>BZ,meanAbsoluteError:()=>LZ,meanAbsolutePercentageError:()=>MZ,meanSquaredError:()=>VZ,mse:()=>WZ,precision:()=>FZ,recall:()=>OZ,sparseCategoricalAccuracy:()=>$Z});function _Z(r,t){return Eh(r,t)}function AZ(r,t){return Wy(r,t)}function $Z(r,t){return Uy(r,t)}function DZ(r,t){return _h(r,t)}function RZ(r,t){return Ah(r,t)}function FZ(r,t){return FS(r,t)}function OZ(r,t){return Q$(r,t)}function PZ(r,t){return kh(r,t)}function LZ(r,t){return Gm(r,t)}function MZ(r,t){return du(r,t)}function zZ(r,t){return du(r,t)}function BZ(r,t){return du(r,t)}function VZ(r,t){return ji(r,t)}function GZ(r,t){return ji(r,t)}function WZ(r,t){return ji(r,t)}var AD={};Ut(AD,{modelFromJSON:()=>dD});var $D={};Ut($D,{l1:()=>HZ,l1l2:()=>UZ,l2:()=>qZ});function UZ(r){return new hu(r)}function HZ(r){return yD(r)}function qZ(r){return bD(r)}var vb=class extends ll{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Vn))throw new Error(\"model must be a LayersModel, not some other Container\");this.model=t}};function Ib(r,t){return rt}var Sb=class extends vb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt(\"restoreBestWeights = True is not implemented in EarlyStopping yet.\");this.monitor=t.monitor||\"val_loss\",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||\"auto\",this.baseline=t.baseline,[\"auto\",\"min\",\"max\"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode=\"auto\"),this.mode===\"min\"?this.monitorFunc=Ib:this.mode===\"max\"?this.monitorFunc=DD:this.monitor.indexOf(\"acc\")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ki(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function KZ(r){return new Sb(r)}var jZ={earlyStopping:KZ};var XZ=M();XZ.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var io;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(io||(io={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]=\"LEGACY\",e[e.V1=1]=\"V1\",e[e.V2=2]=\"V2\"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var XS={};function ZZ(r,t){let e={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:t};XS[r]=e}function Nb(r){return XS[r]}function JZ(r){delete XS[r]}function I(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type===\"tensor\")return Cr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type===\"tensors\")return t.inputNames.slice(a,u).map(m=>Cr(m,e,n,o));let l=Cr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type===\"number\"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function Cr(r,t,e,n){let[o,s]=bn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function Zs(r,t){let[e,n,o]=bn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function bn(r){let t=r.split(\":\");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Oh(r,t,e){let n=I(\"pad\",r,t,e);if(n===\"explicit\"){n=I(\"explicitPaddings\",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Js(r){return r.kept?r:an(r)}var YS={};Ut(YS,{json:()=>QZ});var QZ=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var ZS={};Ut(ZS,{json:()=>t7});var t7=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prod\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axes\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var JS={};Ut(JS,{json:()=>e7});var e7=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var QS={};Ut(QS,{json:()=>r7});var r7=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var tN={};Ut(tN,{json:()=>n7});var n7=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var eN={};Ut(eN,{json:()=>o7});var o7=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var rN={};Ut(rN,{json:()=>s7});var s7=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var nN={};Ut(nN,{json:()=>i7});var i7=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var oN={};Ut(oN,{json:()=>a7});var a7=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"InitializeTable\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]},{tfOpName:\"InitializeTableV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]}];var sN={};Ut(sN,{json:()=>l7});var l7=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var iN={};Ut(iN,{json:()=>u7});var u7=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var aN={};Ut(aN,{json:()=>c7});var c7=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]}];var lN={};Ut(lN,{json:()=>p7});var p7=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"normalization\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!0,notSupported:!0}]}];var uN={};Ut(uN,{json:()=>m7});var m7=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var cN={};Ut(cN,{json:()=>f7});var f7=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}];var pN={};Ut(pN,{json:()=>d7});var d7=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var mN={};Ut(mN,{json:()=>h7});var h7=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var fN={};Ut(fN,{json:()=>g7});var g7=[{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var dN={};Ut(dN,{json:()=>x7});var x7=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var Ph=class{constructor(){let t=[YS,ZS,JS,QS,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN,pN,mN,fN,dN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?o.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Zs(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Zs(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Zs(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith(\"^\")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case\"string\":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op===\"Const\"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Zs(p.name),f={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:hN(p.type),type:\"dtype\"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Zs(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Zs(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function y7(r){let t=M().global;if(typeof t.atob!=\"undefined\")return t.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):y7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o==\"number\"?o:parseInt(o,10)}function hN(r){switch(typeof r==\"string\"&&(r=io[r]),r){case io.DT_FLOAT:case io.DT_HALF:return\"float32\";case io.DT_INT32:case io.DT_INT64:case io.DT_INT8:case io.DT_UINT8:return\"int32\";case io.DT_BOOL:return\"bool\";case io.DT_DOUBLE:return\"float32\";case io.DT_STRING:return\"string\";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?hN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>hN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size==\"number\"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o==\"number\"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return Cr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return Cr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var se={};Ut(se,{OP_SCOPE_SUFFIX:()=>A0,abs:()=>Ee,acos:()=>tx,acosh:()=>ex,add:()=>Y,addN:()=>uE,all:()=>Jp,any:()=>Gu,argMax:()=>Ai,argMin:()=>rx,asin:()=>nx,asinh:()=>ox,atan:()=>sx,atan2:()=>ix,atanh:()=>ax,avgPool:()=>Zl,avgPool3d:()=>lx,basicLSTMCell:()=>mE,batchNorm:()=>Ri,batchNorm2d:()=>ux,batchNorm3d:()=>cx,batchNorm4d:()=>px,batchToSpaceND:()=>Jl,bincount:()=>mx,booleanMaskAsync:()=>Oj,broadcastArgs:()=>dE,broadcastTo:()=>Fi,buffer:()=>bt,cast:()=>J,ceil:()=>fx,clipByValue:()=>vr,clone:()=>an,complex:()=>In,concat:()=>oe,concat1d:()=>dx,concat2d:()=>hx,concat3d:()=>gx,concat4d:()=>xx,conv1d:()=>tm,conv2d:()=>vn,conv2dTranspose:()=>rm,conv3d:()=>yx,conv3dTranspose:()=>wx,cos:()=>Ql,cosh:()=>nm,cosineWindow:()=>fh,cumprod:()=>Uu,cumsum:()=>om,denseBincount:()=>ah,depthToSpace:()=>Cx,depthwiseConv2d:()=>Oi,diag:()=>hE,dilation2d:()=>Ix,div:()=>ut,divNoNan:()=>vx,dot:()=>Sx,dropout:()=>nS,einsum:()=>xE,elu:()=>Pi,enclosingPowerOfTwo:()=>oS,equal:()=>Dr,erf:()=>Nx,euclideanNorm:()=>Tx,exp:()=>sr,expandDims:()=>ir,expm1:()=>kx,eye:()=>Hu,fft:()=>lu,fill:()=>yo,floor:()=>Li,floorDiv:()=>Zp,fused:()=>cu,gather:()=>Mi,gatherND:()=>Hj,greater:()=>Fe,greaterEqual:()=>un,ifft:()=>el,imag:()=>tu,image:()=>oo,inTopKAsync:()=>jj,irfft:()=>ym,isFinite:()=>Ex,isInf:()=>_x,isNaN:()=>Ax,leakyRelu:()=>eu,less:()=>sm,lessEqual:()=>Mn,linalg:()=>iS,linspace:()=>wE,localResponseNormalization:()=>$x,log:()=>Nr,log1p:()=>ru,logSigmoid:()=>Fx,logSoftmax:()=>im,logSumExp:()=>am,logicalAnd:()=>Fr,logicalNot:()=>nu,logicalOr:()=>lm,logicalXor:()=>Ox,losses:()=>j6,lowerBound:()=>CE,matMul:()=>Mt,max:()=>Sr,maxPool:()=>ou,maxPool3d:()=>Lx,maxPoolWithArgmax:()=>IE,maximum:()=>Sn,mean:()=>Ne,meshgrid:()=>vE,min:()=>Ja,minimum:()=>zi,mirrorPad:()=>Mx,mod:()=>zx,moments:()=>qu,movingAverage:()=>Mj,mul:()=>D,multiRNNCell:()=>SE,multinomial:()=>NE,neg:()=>qt,norm:()=>Qa,notEqual:()=>Gs,oneHot:()=>Bi,ones:()=>fr,onesLike:()=>wr,op:()=>T,outerProduct:()=>TE,pad:()=>pn,pad1d:()=>kE,pad2d:()=>EE,pad3d:()=>_E,pad4d:()=>AE,pool:()=>Bx,pow:()=>ln,prelu:()=>iu,print:()=>Qg,prod:()=>Vx,raggedGather:()=>$E,raggedRange:()=>DE,raggedTensorToTensor:()=>RE,rand:()=>FE,randomGamma:()=>e_,randomNormal:()=>Xu,randomStandardNormal:()=>r_,randomUniform:()=>Vi,range:()=>Gi,real:()=>tl,reciprocal:()=>Kx,relu:()=>Or,relu6:()=>um,reshape:()=>R,reverse:()=>dr,reverse1d:()=>n_,reverse2d:()=>o_,reverse3d:()=>s_,reverse4d:()=>i_,rfft:()=>uu,round:()=>cm,rsqrt:()=>pm,scalar:()=>pt,scatterND:()=>Bj,searchSorted:()=>uh,selu:()=>mm,separableConv2d:()=>fm,setdiff1dAsync:()=>a_,sigmoid:()=>Qr,sign:()=>jx,signal:()=>K6,sin:()=>dm,sinh:()=>hm,slice:()=>Rt,slice1d:()=>gm,slice2d:()=>ph,slice3d:()=>xm,slice4d:()=>Yu,softmax:()=>au,softplus:()=>Vs,spaceToBatchND:()=>su,sparse:()=>X6,sparseToDense:()=>Wj,spectral:()=>q6,split:()=>hr,sqrt:()=>Se,square:()=>zt,squaredDifference:()=>bm,squeeze:()=>zn,stack:()=>qe,step:()=>wo,stridedSlice:()=>Xx,string:()=>Y6,sub:()=>lt,sum:()=>mt,tan:()=>Yx,tanh:()=>Di,tensor:()=>or,tensor1d:()=>Ke,tensor2d:()=>Ws,tensor3d:()=>Zx,tensor4d:()=>l_,tensor5d:()=>u_,tensor6d:()=>c_,tile:()=>Rr,topk:()=>Jx,transpose:()=>Pt,truncatedNormal:()=>wm,unique:()=>Qx,unsortedSegmentSum:()=>Cm,unstack:()=>gr,upperBound:()=>p_,variable:()=>ty,where:()=>_e,whereAsync:()=>ry,zeros:()=>Te,zerosLike:()=>It});var MD=(r,t,e,n=se)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[n.add(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"AddN\":return[n.addN(I(\"tensors\",r,t,e))];case\"FloorMod\":case\"Mod\":return[n.mod(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Mul\":return[n.mul(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"RealDiv\":case\"Div\":return[n.div(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"DivNoNan\":return[n.divNoNan(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"FloorDiv\":return[n.floorDiv(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Sub\":return[n.sub(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Minimum\":return[n.minimum(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Maximum\":return[n.maximum(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Pow\":return[n.pow(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"SquaredDifference\":return[n.squaredDifference(I(\"a\",r,t,e),I(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=se)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[n.abs(I(\"x\",r,t,e))];case\"Acos\":return[n.acos(I(\"x\",r,t,e))];case\"Acosh\":return[n.acosh(I(\"x\",r,t,e))];case\"Asin\":return[n.asin(I(\"x\",r,t,e))];case\"Asinh\":return[n.asinh(I(\"x\",r,t,e))];case\"Atan\":return[n.atan(I(\"x\",r,t,e))];case\"Atan2\":return[n.atan2(I(\"x\",r,t,e),I(\"y\",r,t,e))];case\"Atanh\":return[n.atanh(I(\"x\",r,t,e))];case\"Ceil\":return[n.ceil(I(\"x\",r,t,e))];case\"Complex\":return[n.complex(I(\"real\",r,t,e),I(\"imag\",r,t,e))];case\"Cos\":return[n.cos(I(\"x\",r,t,e))];case\"Cosh\":return[n.cosh(I(\"x\",r,t,e))];case\"Elu\":return[n.elu(I(\"x\",r,t,e))];case\"Erf\":return[n.erf(I(\"x\",r,t,e))];case\"Exp\":return[n.exp(I(\"x\",r,t,e))];case\"Expm1\":return[n.expm1(I(\"x\",r,t,e))];case\"Floor\":return[n.floor(I(\"x\",r,t,e))];case\"Log\":return[n.log(I(\"x\",r,t,e))];case\"Log1p\":return[n.log1p(I(\"x\",r,t,e))];case\"Imag\":return[n.imag(I(\"x\",r,t,e))];case\"Neg\":return[n.neg(I(\"x\",r,t,e))];case\"Reciprocal\":return[n.reciprocal(I(\"x\",r,t,e))];case\"Real\":return[n.real(I(\"x\",r,t,e))];case\"Relu\":return[n.relu(I(\"x\",r,t,e))];case\"Round\":return[n.round(I(\"x\",r,t,e))];case\"Selu\":return[n.selu(I(\"x\",r,t,e))];case\"Sigmoid\":return[n.sigmoid(I(\"x\",r,t,e))];case\"Sin\":return[n.sin(I(\"x\",r,t,e))];case\"Sign\":return[n.sign(I(\"x\",r,t,e))];case\"Sinh\":return[n.sinh(I(\"x\",r,t,e))];case\"Softplus\":return[n.softplus(I(\"x\",r,t,e))];case\"Sqrt\":return[n.sqrt(I(\"x\",r,t,e))];case\"Square\":return[n.square(I(\"x\",r,t,e))];case\"Tanh\":return[n.tanh(I(\"x\",r,t,e))];case\"Tan\":return[n.tan(I(\"x\",r,t,e))];case\"ClipByValue\":return[n.clipByValue(I(\"x\",r,t,e),I(\"clipValueMin\",r,t,e),I(\"clipValueMax\",r,t,e))];case\"Relu6\":return[n.relu6(I(\"x\",r,t,e))];case\"Rsqrt\":return[n.rsqrt(Cr(r.inputNames[0],t,e))];case\"Prod\":return[n.prod(I(\"x\",r,t,e),I(\"axes\",r,t,e))];case\"LeakyRelu\":return[n.leakyRelu(I(\"x\",r,t,e),I(\"alpha\",r,t,e))];case\"Prelu\":return[n.prelu(I(\"x\",r,t,e),I(\"alpha\",r,t,e))];case\"IsNan\":return[n.isNaN(Cr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Gn(r,t,e=\"\"){if(!(typeof r==\"number\"||typeof t==\"number\")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r==\"number\"||r.some(t=>t<0))}function Xf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r==\"number\")return t;if(typeof t==\"number\")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=pt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t},\n because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Gn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,gr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Gn(e,s.shape,\"TensorList shape mismatch: \"),De(s)}),this.idTensor=pt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Gn(t,this.elementShape,\"TensorList shape mismatch: \");let o=Xf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return qe(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let n=Xf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Gn(o.shape,t,\"TensorList shape mismatch: \"),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Gn(t.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new hl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Gn(this.tensors[t].shape,e,\"TensorList shape mismatch: \");let o=Xf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Gn(this.elementShape,e.shape,\"TensorList shape mismatch: \"),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Gn(this.elementShape,n,\"TensorList shape mismatch: \"),t=t.slice(0,this.size());let o=Xf(this.elementShape,this.tensors,n);return t.length===0?or([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return qe(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Gn(this.elementShape,e,\"TensorList shape mismatch: \");let n=Xf(this.elementShape,this.tensors,e);return this.size()===0?or([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return oe(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Gn(o,t,\"TensorList shape mismatch: \");let s=gr(r);return new hl(s,t,n)}function GD(r,t,e,n){return new hl([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new hl([],e,r.dtype,n),i=gr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case\"If\":case\"StatelessIf\":{let n=I(\"thenBranch\",r,t,e),o=I(\"elseBranch\",r,t,e),s=I(\"cond\",r,t,e),i=I(\"args\",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case\"While\":case\"StatelessWhile\":{let n=I(\"body\",r,t,e),o=I(\"cond\",r,t,e),s=I(\"args\",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case\"LoopCond\":{let n=I(\"pred\",r,t,e);return[Js(n)]}case\"Switch\":{let n=I(\"pred\",r,t,e),o=I(\"data\",r,t,e);return o.kept||(o=Js(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case\"Merge\":{let n=r.inputNames.find(o=>Cr(o,t,e)!==void 0);if(n){let o=Cr(n,t,e);return[Js(o)]}return}case\"Enter\":{let n=I(\"frameName\",r,t,e),o=I(\"tensor\",r,t,e);return e.enterFrame(n),[Js(o)]}case\"Exit\":{let n=I(\"tensor\",r,t,e);return e.exitFrame(),[Js(n)]}case\"NextIteration\":{let n=I(\"tensor\",r,t,e);return e.nextIteration(),[Js(n)]}case\"TensorArrayV3\":{let n=I(\"size\",r,t,e),o=I(\"dtype\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"dynamicSize\",r,t,e),a=I(\"clearAfterRead\",r,t,e),u=I(\"identicalElementShapes\",r,t,e),l=I(\"name\",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,pt(1)]}case\"TensorArrayWriteV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case\"TensorArrayReadV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"index\",r,t,e);return[e.getTensorArray(n.id).read(o)]}case\"TensorArrayGatherV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"dtype\",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case\"TensorArrayScatterV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case\"TensorArrayConcatV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id),s=I(\"dtype\",r,t,e);return[o.concat(s)]}case\"TensorArraySplitV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"tensor\",r,t,e),s=I(\"lengths\",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case\"TensorArraySizeV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return[pt(o.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case\"TensorListSetItem\":{let n=I(\"tensorListId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case\"TensorListGetItem\":{let n=I(\"tensorListId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let n=I(\"indices\",r,t,e),o=I(\"tensor\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"numElements\",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let n=I(\"elementShape\",r,t,e),o=I(\"elementDType\",r,t,e),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let i=I(s,r,t,e),a=r.op===\"TensorListReserve\"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case\"TensorListGather\":{let n=I(\"tensorListId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case\"TensorListStack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e),i=I(\"numElements\",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case\"TensorListFromTensor\":{let n=I(\"tensor\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let n=I(\"tensorListId\",r,t,e),o=e.getTensorList(n.id),s=I(\"dtype\",r,t,e),i=I(\"elementShape\",r,t,e);return[o.concat(s,i)]}case\"TensorListPushBack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"tensor\",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case\"TensorListPopBack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case\"TensorListSplit\":{let n=I(\"tensor\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"lengths\",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case\"TensorListLength\":{let n=I(\"tensorListId\",r,t,e),o=e.getTensorList(n.id);return[pt(o.size(),\"int32\")]}case\"TensorListResize\":{let n=I(\"tensorListId\",r,t,e),o=I(\"size\",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=I(\"fusedOps\",r,t,e),s=n===\"biasadd\",i=!s,a=o===\"prelu\",u=n===\"fusedbatchnorm\",l=I(\"numArgs\",r,t,e);if(s){if(a&&l!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&s&&l!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(u)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=I(\"strides\",r,t,e),p=Oh(r,t,e),m=I(\"dataFormat\",r,t,e).toUpperCase(),f=I(\"dilations\",r,t,e),[d,h]=I(\"args\",r,t,e);i&&(h=d,d=void 0);let g=I(\"leakyreluAlpha\",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=se)=>{switch(r.op){case\"Conv1D\":{let o=I(\"stride\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilation\",r,t,e);return[n.conv1d(I(\"x\",r,t,e),I(\"filter\",r,t,e),o,s,i,a)]}case\"Conv2D\":{let o=I(\"strides\",r,t,e),s=Oh(r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilations\",r,t,e);return[n.conv2d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case\"_FusedConv2D\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:I(\"x\",r,t,e),filter:I(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"FusedDepthwiseConv2dNative\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:I(\"x\",r,t,e),filter:I(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let o=I(\"outputShape\",r,t,e),s=I(\"strides\",r,t,e),i=Oh(r,t,e);return[n.conv2dTranspose(I(\"x\",r,t,e),I(\"filter\",r,t,e),o,[s[1],s[2]],i)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let o=I(\"strides\",r,t,e),s=Oh(r,t,e),i=I(\"dilations\",r,t,e),a=I(\"dataFormat\",r,t,e).toUpperCase();return[n.depthwiseConv2d(I(\"input\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case\"Conv3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilations\",r,t,e);return[n.conv3d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case\"AvgPool\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.avgPool(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPool\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.maxPool(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPoolWithArgmax\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e),a=I(\"includeBatchInIndex\",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case\"AvgPool3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.avgPool3d(I(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"MaxPool3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.maxPool3d(I(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"Dilation2D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dilations\",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[a,u],s,[l,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=se)=>{switch(r.op){case\"Fill\":{let o=I(\"shape\",r,t,e),s=I(\"dtype\",r,t,e),i=I(\"value\",r,t,e);return[n.fill(o,i,s)]}case\"LinSpace\":{let o=I(\"start\",r,t,e),s=I(\"stop\",r,t,e),i=I(\"num\",r,t,e);return[n.linspace(o,s,i)]}case\"Multinomial\":{let o=I(\"logits\",r,t,e),s=I(\"numSamples\",r,t,e),i=I(\"seed\",r,t,e);return[n.multinomial(o,s,i)]}case\"OneHot\":{let o=I(\"indices\",r,t,e),s=I(\"depth\",r,t,e),i=I(\"onValue\",r,t,e),a=I(\"offValue\",r,t,e),u=I(\"dtype\",r,t,e);return[n.oneHot(o,s,i,a,u)]}case\"Ones\":return[n.ones(I(\"shape\",r,t,e),I(\"dtype\",r,t,e))];case\"OnesLike\":return[n.onesLike(I(\"x\",r,t,e))];case\"RandomStandardNormal\":return[n.randomStandardNormal(I(\"shape\",r,t,e),I(\"dtype\",r,t,e),I(\"seed\",r,t,e))];case\"RandomUniform\":return[n.randomUniform(I(\"shape\",r,t,e),I(\"minval\",r,t,e),I(\"maxval\",r,t,e),I(\"dtype\",r,t,e))];case\"Range\":{let o=I(\"start\",r,t,e),s=I(\"stop\",r,t,e),i=I(\"step\",r,t,e);return[n.range(o,s,i,I(\"dtype\",r,t,e))]}case\"TruncatedNormal\":{let o=I(\"shape\",r,t,e),s=I(\"mean\",r,t,e),i=I(\"stdDev\",r,t,e),a=I(\"seed\",r,t,e);return[n.truncatedNormal(o,s,i,I(\"dtype\",r,t,e),a)]}case\"Zeros\":return[n.zeros(I(\"shape\",r,t,e),I(\"dtype\",r,t,e))];case\"ZerosLike\":return[n.zerosLike(I(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function gN(r,t,e){let n=I(\"boxes\",r,t,e),o=I(\"scores\",r,t,e),s=I(\"maxOutputSize\",r,t,e),i=I(\"iouThreshold\",r,t,e),a=I(\"scoreThreshold\",r,t,e),u=I(\"softNmsSigma\",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=se)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=gN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e),c=I(\"padToMaxOutputSize\",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case\"Where\":{let s=o.cast(I(\"condition\",r,t,e),\"bool\"),i=[await o.whereAsync(s)];return s.dispose(),i}case\"ListDiff\":return o.setdiff1dAsync(I(\"x\",r,t,e),I(\"y\",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=se)=>{switch(r.op){case\"LowerBound\":{let o=I(\"sortedSequence\",r,t,e),s=I(\"values\",r,t,e);return[n.lowerBound(o,s)]}case\"TopKV2\":{let o=I(\"x\",r,t,e),s=I(\"k\",r,t,e),i=I(\"sorted\",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case\"UpperBound\":{let o=I(\"sortedSequence\",r,t,e),s=I(\"values\",r,t,e);return[n.upperBound(o,s)]}case\"Unique\":{let o=I(\"x\",r,t,e),s=n.unique(o);return[s.values,s.indices]}case\"UniqueV2\":{let o=I(\"x\",r,t,e),s=I(\"axis\",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=se)=>{switch(r.op){case\"Const\":return t[r.name];case\"PlaceholderWithDefault\":let o=I(\"default\",r,t,e);return[Cr(r.name,t,e)||o];case\"Placeholder\":return[Cr(r.name,t,e)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=I(\"x\",r,t,e);return[Js(c)]}case\"IdentityN\":return I(\"x\",r,t,e).map(c=>Js(c));case\"Snapshot\":let s=I(\"x\",r,t,e);return[Js(s)];case\"Shape\":return[n.tensor1d(I(\"x\",r,t,e).shape,\"int32\")];case\"ShapeN\":return I(\"x\",r,t,e).map(c=>n.tensor1d(c.shape));case\"Size\":return[n.scalar(I(\"x\",r,t,e).size,\"int32\")];case\"Rank\":return[n.scalar(I(\"x\",r,t,e).rank,\"int32\")];case\"NoOp\":return[n.scalar(1)];case\"Print\":let i=I(\"x\",r,t,e),a=I(\"data\",r,t,e),u=I(\"message\",r,t,e),l=I(\"summarize\",r,t,e);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return pt(this.size(),\"int32\")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=gr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=I(\"keyDType\",r,t,e),i=I(\"valueDType\",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case\"InitializeTable\":case\"InitializeTableV2\":case\"LookupTableImport\":case\"LookupTableImportV2\":{let o=I(\"tableHandle\",r,t,e,n),s=I(\"keys\",r,t,e),i=I(\"values\",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let o=I(\"tableHandle\",r,t,e,n),s=I(\"keys\",r,t,e),i=I(\"defaultValue\",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let o=I(\"tableHandle\",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=se)=>{switch(r.op){case\"ResizeBilinear\":{let o=I(\"images\",r,t,e),s=I(\"size\",r,t,e),i=I(\"alignCorners\",r,t,e),a=I(\"halfPixelCenters\",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case\"ResizeNearestNeighbor\":{let o=I(\"images\",r,t,e),s=I(\"size\",r,t,e),i=I(\"alignCorners\",r,t,e),a=I(\"halfPixelCenters\",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case\"CropAndResize\":{let o=I(\"image\",r,t,e),s=I(\"boxes\",r,t,e),i=I(\"boxInd\",r,t,e),a=I(\"cropSize\",r,t,e),u=I(\"method\",r,t,e),l=I(\"extrapolationValue\",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case\"ImageProjectiveTransformV3\":{let o=I(\"images\",r,t,e),s=I(\"transforms\",r,t,e),i=I(\"outputShape\",r,t,e),a=I(\"fillValue\",r,t,e),u=I(\"interpolation\",r,t,e),l=I(\"fillMode\",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=se)=>{switch(r.op){case\"Equal\":return[n.equal(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"NotEqual\":return[n.notEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Greater\":return[n.greater(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"GreaterEqual\":return[n.greaterEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Less\":return[n.less(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LessEqual\":return[n.lessEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LogicalAnd\":return[n.logicalAnd(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LogicalNot\":return[n.logicalNot(I(\"a\",r,t,e))];case\"LogicalOr\":return[n.logicalOr(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Select\":case\"SelectV2\":return[n.where(I(\"condition\",r,t,e),I(\"a\",r,t,e),I(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=se)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[n.matMul(I(\"a\",r,t,e),I(\"b\",r,t,e),I(\"transposeA\",r,t,e),I(\"transposeB\",r,t,e))];case\"Einsum\":return[n.einsum(I(\"equation\",r,t,e),...I(\"tensors\",r,t,e))];case\"Transpose\":return[n.transpose(I(\"x\",r,t,e),I(\"perm\",r,t,e))];case\"_FusedMatMul\":let[o,s]=I(\"fusedOps\",r,t,e),i=o===\"biasadd\",a=s===\"prelu\",u=I(\"numArgs\",r,t,e),l=I(\"leakyreluAlpha\",r,t,e);if(i){if(a&&u!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&u!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,p]=I(\"args\",r,t,e);return[n.fused.matMul({a:I(\"a\",r,t,e),b:I(\"b\",r,t,e),transposeA:I(\"transposeA\",r,t,e),transposeB:I(\"transposeB\",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=se)=>{switch(r.op){case\"EuclideanNorm\":return[n.euclideanNorm(I(\"x\",r,t,e),I(\"axis\",r,t,e),I(\"keepDims\",r,t,e))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[n.batchNorm(I(\"x\",r,t,e),I(\"mean\",r,t,e),I(\"variance\",r,t,e),I(\"offset\",r,t,e),I(\"scale\",r,t,e),I(\"epsilon\",r,t,e))];case\"FusedBatchNormV3\":return[n.batchNorm(I(\"x\",r,t,e),I(\"mean\",r,t,e),I(\"variance\",r,t,e),I(\"offset\",r,t,e),I(\"scale\",r,t,e),I(\"epsilon\",r,t,e))];case\"LRN\":return[n.localResponseNormalization(I(\"x\",r,t,e),I(\"radius\",r,t,e),I(\"bias\",r,t,e),I(\"alpha\",r,t,e),I(\"beta\",r,t,e))];case\"Softmax\":return[n.softmax(I(\"x\",r,t,e))];case\"LogSoftmax\":return[n.logSoftmax(I(\"x\",r,t,e))];case\"SparseToDense\":return[n.sparseToDense(I(\"sparseIndices\",r,t,e),I(\"outputShape\",r,t,e),I(\"sparseValues\",r,t,e),I(\"defaultValue\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=se)=>{switch(r.op){case\"RaggedGather\":{let{outputNestedSplits:o,outputDenseValues:s}=n.raggedGather(I(\"paramsNestedSplits\",r,t,e),I(\"paramsDenseValues\",r,t,e),I(\"indices\",r,t,e),I(\"outputRaggedRank\",r,t,e));return o.concat(s)}case\"RaggedRange\":{let{rtNestedSplits:o,rtDenseValues:s}=n.raggedRange(I(\"starts\",r,t,e),I(\"limits\",r,t,e),I(\"splits\",r,t,e));return[o,s]}case\"RaggedTensorToTensor\":return[n.raggedTensorToTensor(I(\"shape\",r,t,e),I(\"values\",r,t,e),I(\"defaultValue\",r,t,e),I(\"rowPartitionTensors\",r,t,e),I(\"rowPartitionTypes\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=se)=>{switch(r.op){case\"Max\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.max(I(\"x\",r,t,e),a,u)]}case\"Mean\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.mean(I(\"x\",r,t,e),a,u)]}case\"Min\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.min(I(\"x\",r,t,e),a,u)]}case\"Sum\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.sum(I(\"x\",r,t,e),a,u)]}case\"All\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.all(I(\"x\",r,t,e),a,u)]}case\"Any\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.any(I(\"x\",r,t,e),a,u)]}case\"ArgMax\":{let a=I(\"axis\",r,t,e);return[n.argMax(I(\"x\",r,t,e),a)]}case\"ArgMin\":{let a=I(\"axis\",r,t,e);return[n.argMin(I(\"x\",r,t,e),a)]}case\"Prod\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.prod(I(\"x\",r,t,e),a,u)]}case\"Cumprod\":{let a=I(\"axis\",r,t,e),u=I(\"exclusive\",r,t,e),l=I(\"reverse\",r,t,e);return[n.cumprod(I(\"x\",r,t,e),a,u,l)]}case\"Cumsum\":{let a=I(\"axis\",r,t,e),u=I(\"exclusive\",r,t,e),l=I(\"reverse\",r,t,e);return[n.cumsum(I(\"x\",r,t,e),a,u,l)]}case\"Bincount\":let o=I(\"x\",r,t,e),s=I(\"weights\",r,t,e),i=I(\"size\",r,t,e);return[n.bincount(o,s,i)];case\"DenseBincount\":{let a=I(\"x\",r,t,e),u=I(\"weights\",r,t,e),l=I(\"size\",r,t,e),c=I(\"binaryOutput\",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=se)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let o=I(\"n\",r,t,e),s=I(\"axis\",r,t,e),i=I(\"tensors\",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case\"Gather\":{let o=I(\"x\",r,t,e),s=I(\"indices\",r,t,e);return[n.gather(o,n.cast(s,\"int32\"),0)]}case\"GatherV2\":{let o=I(\"axis\",r,t,e),s=I(\"batchDims\",r,t,e),i=I(\"x\",r,t,e),a=I(\"indices\",r,t,e);return[n.gather(i,n.cast(a,\"int32\"),o,s)]}case\"Reverse\":{let o=I(\"dims\",r,t,e),s=[];for(let a=0;a{let o=I(\"axis\",r,t,e),s=I(\"tensors\",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error(\"the input tensors shape does not match\");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case\"Unpack\":{let o=I(\"axis\",r,t,e),s=I(\"tensor\",r,t,e);return n.unstack(s,o)}case\"Tile\":{let o=I(\"reps\",r,t,e);return[n.tile(I(\"x\",r,t,e),o)]}case\"Split\":case\"SplitV\":{let o=I(\"axis\",r,t,e),s=I(\"numOrSizeSplits\",r,t,e),i=I(\"x\",r,t,e);return n.split(i,s,o)}case\"ScatterNd\":{let o=I(\"indices\",r,t,e),s=I(\"values\",r,t,e),i=I(\"shape\",r,t,e);return[n.scatterND(o,s,i)]}case\"GatherNd\":{let o=I(\"x\",r,t,e),s=I(\"indices\",r,t,e);return[n.gatherND(o,s)]}case\"SparseToDense\":{let o=I(\"sparseIndices\",r,t,e),s=I(\"outputShape\",r,t,e),i=I(\"sparseValues\",r,t,e),a=I(\"defaultValue\",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=se)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(I(\"indices\",r,t,e),I(\"values\",r,t,e),I(\"denseShape\",r,t,e),I(\"defaultValue\",r,t,e));return[o,s,i,a]}case\"SparseReshape\":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(I(\"inputIndices\",r,t,e),I(\"inputShape\",r,t,e),I(\"newShape\",r,t,e));return[o,s]}case\"SparseSegmentMean\":return[n.sparse.sparseSegmentMean(I(\"data\",r,t,e),I(\"indices\",r,t,e),I(\"segmentIds\",r,t,e))];case\"SparseSegmentSum\":return[n.sparse.sparseSegmentSum(I(\"data\",r,t,e),I(\"indices\",r,t,e),I(\"segmentIds\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=se)=>{switch(r.op){case\"FFT\":return[n.fft(I(\"x\",r,t,e))];case\"IFFT\":return[n.ifft(I(\"x\",r,t,e))];case\"RFFT\":return[n.rfft(I(\"x\",r,t,e))];case\"IRFFT\":return[n.irfft(I(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=se)=>{switch(r.op){case\"StringNGrams\":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(I(\"data\",r,t,e),I(\"dataSplits\",r,t,e),I(\"separator\",r,t,e),I(\"nGramWidths\",r,t,e),I(\"leftPad\",r,t,e),I(\"rightPad\",r,t,e),I(\"padWidth\",r,t,e),I(\"preserveShortSequences\",r,t,e));return[o,s]}case\"StringSplit\":{let{indices:o,values:s,shape:i}=n.string.stringSplit(I(\"input\",r,t,e),I(\"delimiter\",r,t,e),I(\"skipEmpty\",r,t,e));return[o,s,i]}case\"StringToHashBucketFast\":return[n.string.stringToHashBucketFast(I(\"input\",r,t,e),I(\"numBuckets\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var uR=(r,t,e,n=se)=>{switch(r.op){case\"Cast\":return[n.cast(I(\"x\",r,t,e),I(\"dtype\",r,t,e))];case\"ExpandDims\":{let o=I(\"axis\",r,t,e);return[n.expandDims(I(\"x\",r,t,e),o)]}case\"Squeeze\":{let o=I(\"axis\",r,t,e);return[n.squeeze(I(\"x\",r,t,e),o)]}case\"Reshape\":return[n.reshape(I(\"x\",r,t,e),I(\"shape\",r,t,e))];case\"MirrorPad\":return[n.mirrorPad(I(\"x\",r,t,e),I(\"padding\",r,t,e),I(\"mode\",r,t,e))];case\"PadV2\":case\"Pad\":return[n.pad(I(\"x\",r,t,e),I(\"padding\",r,t,e),I(\"constantValue\",r,t,e))];case\"SpaceToBatchND\":{let o=I(\"blockShape\",r,t,e),s=I(\"paddings\",r,t,e);return[n.spaceToBatchND(I(\"x\",r,t,e),o,s)]}case\"BatchToSpaceND\":{let o=I(\"blockShape\",r,t,e),s=I(\"crops\",r,t,e);return[n.batchToSpaceND(I(\"x\",r,t,e),o,s)]}case\"DepthToSpace\":{let o=I(\"blockSize\",r,t,e),s=I(\"dataFormat\",r,t,e).toUpperCase();return[n.depthToSpace(I(\"x\",r,t,e),o,s)]}case\"BroadcastTo\":return[n.broadcastTo(I(\"x\",r,t,e),I(\"shape\",r,t,e))];case\"BroadcastArgs\":return[n.broadcastArgs(I(\"s0\",r,t,e),I(\"s1\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function xN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case\"arithmetic\":return o(()=>MD(i,a,u));case\"basic_math\":return o(()=>zD(i,a,u));case\"control\":return HD(i,a,u);case\"convolution\":return o(()=>KD(i,a,u));case\"creation\":return o(()=>jD(i,a,u));case\"dynamic\":return XD(i,a,u);case\"evaluation\":return o(()=>YD(i,a,u));case\"image\":return o(()=>QD(i,a,u));case\"graph\":return o(()=>ZD(i,a,u));case\"logical\":return o(()=>tR(i,a,u));case\"matrices\":return o(()=>eR(i,a,u));case\"normalization\":return o(()=>rR(i,a,u));case\"ragged\":return o(()=>nR(i,a,u));case\"reduction\":return o(()=>oR(i,a,u));case\"slice_join\":return o(()=>sR(i,a,u));case\"sparse\":return o(()=>iR(i,a,u));case\"spectral\":return o(()=>aR(i,a,u));case\"string\":return o(()=>lR(i,a,u));case\"transformation\":return o(()=>uR(i,a,u));case\"hash_table\":return JD(i,a,u,n);case\"custom\":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Lh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?\"\":`${e.frameName}-${e.iterationId}`).join(\"/\"):\"\"}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function yN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>bn(m)[0]),c=[];n!=null&&(c=n.map(m=>bn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((bN(m)||G7(m)||W7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function cR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>bn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var z7=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\",\"StatelessIf\",\"StatelessWhile\",\"if\",\"While\"],B7=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"NonMaxSuppressionV5\",\"Where\"],V7=[\"HashTable\",\"HashTableV2\",\"LookupTableImport\",\"LookupTableImportV2\",\"LookupTableFind\",\"LookupTableFindV2\",\"LookupTableSize\",\"LookupTableSizeV2\"];function bN(r){return z7.indexOf(r.op)>=0}function G7(r){return B7.indexOf(r.op)>=0}function W7(r){return V7.indexOf(r.op)>=0}var kc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new kc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+\"--\"+o.join(this.SEPERATOR)}compile(t,e){let n=yN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return cR(this.graph,this.weightMap,n)}cloneAndKeepTensor(t){if(t==null)return null;let e=t.clone();return De(e),e}cloneTensorList(t){return t?t.map(n=>this.cloneAndKeepTensor(n)):null}cloneTensorMap(t){return Object.fromEntries(Object.entries(t).map(([e,n])=>[e,this.cloneTensorList(n)]))}execute(t,e){this.disposeIntermediateTensors(),t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[bn(p)[0]]),s=e.map(p=>bn(p)[0]),i=s.map(p=>this.graph.nodes[p]);i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));try{this.keepIntermediateTensors=M().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},c={};return B(()=>{let p=new Lh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(t).forEach(h=>{let[g,x]=bn(h),b=[];b[x]=t[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hCr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category===\"control\"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!==\"control\"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];p===1?(c.dispose(),delete a[c.id]):p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.clonedTensorsMap||(Object.values(this.clonedTensorsMap).forEach(t=>{for(let e of t)e&&!e.isDisposed&&e.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(t,e,n=!1,o={},s={}){this.disposeIntermediateTensors(),n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepIntermediateTensors=M().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let i=new Lh(this.weightMap,o,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let a=await this.executeWithControlFlow(t,i,e,n),u=e.map(m=>Cr(m,a,i)),l=u.map(m=>m.id),c=Object.keys(t).map(m=>t[m].id),p=new Set([...l,...c,...this.weightIds]);return Object.values(a).forEach(m=>{m.forEach(f=>{f&&!f.isDisposed&&!p.has(f.id)&&f.dispose()})}),this.parent==null&&i.dispose(p),u}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[bn(w)[0]]),a=n.map(w=>bn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=yN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=bn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let b=u.filter(w=>!bN(w)&&!Cr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w=\"\";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m=\"\";if(p.node.op===\"Enter\"&&I(\"isConstant\",p.node,o,n)&&([m]=Zs(p.node.name,n)),o[p.node.name]==null){let f=xN(p.node,o,n,this._resourceManager);m||([m]=Zs(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(f)),this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Zs(a.name,n);s[u]||!i.has(a.name)||(a.op===\"Merge\"?a.inputNames.some(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=bn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){var e,n;let o={};for(let s in t){let i=(n=(e=this._signature)===null||e===void 0?void 0:e.inputs)===null||n===void 0?void 0:n[s];i!=null?o[i.name]=t[s]:o[s]=t[s]}return o}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=bn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>{var n,o;let s=(o=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||o===void 0?void 0:o[e];return s!=null?s.name:e},{})}checkOutputs(t){t.forEach(e=>{let[n]=bn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var U7=\"?tfjs-format=file\",H7=\"model.json\",Mh=class{constructor(t,e={},n=Pr){this.modelUrl=t,this.loadOptions=e,this.version=\"n/a\",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new kc(Ph.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Ph.Instance.transformGraph(t.modelInitializer);this.initializer=new kc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t==\"string\"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return t.save(this.artifacts)}addStructuredOutputNames(t){if(this.structuredOutputKeys){let e=t instanceof Ft?[t]:t,n={};return e.forEach((o,s)=>n[this.structuredOutputKeys[s]]=o),n}return t}predict(t,e){let n=this.execute(t,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(t,e){let n=await this.executeAsync(t,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(t){var e;if(!(t instanceof Ft)&&!Array.isArray(t)){let s=(e=this.signature)===null||e===void 0?void 0:e.inputs;if(s!=null)for(let i in s){let a=s[i];a.resourceId!=null&&(t[i]=this.resourceIdToCapturedInput[a.resourceId])}return t}t=Array.isArray(t)?t:[t];let n=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${t.length} input tensors provided.`);let o=0;return this.inputNodes.reduce((s,i)=>{var a,u,l;let c=(l=(u=(a=this.signature)===null||a===void 0?void 0:a.inputs)===null||u===void 0?void 0:u[i])===null||l===void 0?void 0:l.resourceId;return c!=null?s[i]=this.resourceIdToCapturedInput[c]:s[i]=t[o++],s},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=this.initializerSignature.outputs,n=Object.keys(e);for(let o=0;o1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Nt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function q7(r,t={},e=Pr){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");t==null&&(t={}),t.fromTFHub&&typeof r==\"string\"&&(r=j7(r));let n=new Mh(r,t,e);return await n.load(),n}function K7(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error(\"modelJSON must be the first element of the array\");if(!o||!(o instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in n))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in n))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=Pr.getWeightSpecs(n.weightsManifest),i=Pr.getModelArtifactsForJSONSync(n,s,o);t=Pr.fromMemorySync(i)}else if(\"load\"in r)t=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)t=Pr.fromMemorySync(r);else throw new Error(\"Unknown model format\");let e=new Mh(t);return e.load(),e}function j7(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${H7}${U7}`}var pR=\"4.2.0\";var $R={};Ut($R,{CSVDataset:()=>Jf,Dataset:()=>Qs,FileDataSource:()=>nd,TextLineDataset:()=>Zf,URLDataSource:()=>od,array:()=>CR,csv:()=>TR,func:()=>kR,generator:()=>ER,microphone:()=>AR,version_data:()=>BN,webcam:()=>_R,zip:()=>IR});var wR=El(ch());var xR=El(ch());function mR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob==\"function\"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error(\"Circular references are not supported.\");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep map function may not return both a value and recurse=true.\");if(o.recurse)if(bu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function fR(r,t=CN){return dR(r,t)}function dR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error(\"Circular references are not supported.\");let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep zip function may not return both a value and recurse=true.\");if(o.recurse)if(bu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=dR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function CN(r){return r===null?null:bu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function bu(r){let t=!1;if(M().get(\"IS_BROWSER\"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=wN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r==\"object\"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function hR(r){return r==null||X7(r)||Array.isArray(r)||typeof r==\"object\"&&r instanceof Ft||y.isTypedArray(r)}function X7(r){return r===null||typeof r!=\"object\"&&typeof r!=\"function\"}function gR(r){return mR(r,Y7)}function Y7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:bu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Yf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError(\"Can't create a ring buffer of unknown capacity.\");if(t<1)throw new RangeError(\"Can't create ring buffer of capacity < 1.\");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError(\"Can't get item at a negative index.\");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError(\"Can't set item at a negative index.\");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Ec=class extends Yf{constructor(){super(Ec.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new kN(this,t,e)}columnMajorBatch(t,e=!0,n=CN){return this.rowMajorBatch(t,e).map(s=>fR(s,n))}concatenate(t,e){return new Hb(FN([this,t]),e)}take(t){return t<0||t==null?this:new TN(this,t)}skip(t){return t<0||t==null?this:new NN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new RN(this,t,e)}serial(){return new SN(this)}},IN=class extends tr{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:gR(t),done:!1}}},vN=class extends tr{constructor(t){super(),this.nextFn=t}summary(){return\"Function call\"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},SN=class extends tr{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},NN=class extends tr{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},kN=class extends tr{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},EN=class extends tr{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;Nt(t.value)}}},_N=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},AN=class extends tr{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},_c=class extends tr{constructor(){super(),this.outputQueue=new Ec,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},$N=class extends _c{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends tr{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return\"TODO: fill in upstream of chained summaries -> Chained\"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},gl;(function(r){r[r.FAIL=0]=\"FAIL\",r[r.SHORTEST=1]=\"SHORTEST\",r[r.LONGEST=2]=\"LONGEST\"})(gl||(gl={}));var DN=class extends tr{constructor(t,e=gl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return\"{TODO: fill in upstream of zip summaries} -> Zip\"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof tr?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case gl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case gl.SHORTEST:return{value:null,done:!0};case gl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends tr{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Yf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},RN=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=xR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Qs=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is\n ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),En(async()=>(await n.iterator()).columnMajorBatch(t,e,Z7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,En(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,En(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return En(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return En(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError(\"`Dataset.prefetch()` requires bufferSize to be specified.\");let e=this;return En(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,En(async()=>{let o=zh(async()=>({value:await e.iterator(),done:!1}));return yR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError(\"`Dataset.shuffle()` requires bufferSize to be specified.\"):new RangeError(`\\`Dataset.shuffle()\\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \\`tf.Tensor\\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=wR.alea(e||y.now().toString());return En(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,En(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArrayForTest()}};Qs.MAX_BUFFER_SIZE=1e4;function En(r,t=null){return new class extends Qs{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function CR(r){return En(async()=>FN(r),r.length)}function IR(r){if(!bu(r))throw new Error(\"The argument to zip() must be an object or array.\");let t;if(Array.isArray(r))for(let e=0;e{let e=await Wb(r,n=>{if(n instanceof Qs)return{value:n.iterator(),recurse:!1};if(bu(n))return{value:null,recurse:!0};throw new Error(\"Leaves of the structure passed to zip() must be Datasets, not primitives.\")});return bR(e,gl.SHORTEST)},t)}function Z7(r){if(r===null)return null;let t=r[0];return hR(t)?{value:J7(r),recurse:!1}:{value:null,recurse:!0}}function J7(r){if(r.length===0)throw new Error(\"Can't make a batch of zero elements.\");return r[0]instanceof Ft?qe(r):or(r)}var Zf=class extends Qs{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`\n`).map(o=>(o.endsWith(\"\\r\")&&(o=o.slice(0,-1)),o))}};var Kb='\"',Bh=Symbol(\"out\"),vR=Symbol(\"field\"),jb=Symbol(\"quote\"),ON=Symbol(\"quoteafterquote\"),SR=Symbol(\"quoteinquote\"),Jf=class extends Qs{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=\",\",this.delimWhitespace=!1,this.base=new Zf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>\"Delimiter should not be provided when delimWhitespace is true.\"),this.delimWhitespace=!0,this.delimiter=\" \"):this.delimiter=e.delimiter?e.delimiter:\",\"}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error(\"Column names must be provided if there is no header line.\");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>\"The length of provided columnNames (\"+this.fullColumnNames.length.toString()+\") does not match the length of the header line read from file (\"+t.length.toString()+\").\"),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>\"Duplicate column names found: \"+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key \"'+o+'\" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+\").\")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error(\"No data was found for CSV parsing.\");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error(\"Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.\")}summary(){return\"microphone\"}static async create(t={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"microphone API is only supported in browser environment.\");let e=new Qf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error(\"Could not obtain audio from microphone.\");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error(\"Can not convert infinite audio stream to array.\")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),or(n,e)}};var td=class extends tr{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],\"int32\"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Ws([i,s,u,a],[1,4])}else this.cropBox=Ws([0,0,1,1],[1,4])}summary(){return\"webcam\"}static async create(t,e={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"tf.data.webcam is only supported in browser environment.\");if(!t){if(t=document.createElement(\"video\"),!e.resizeWidth||!e.resizeHeight)throw new Error(\"Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.\");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new td(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode===\"user\"||this.webcamConfig.facingMode===\"environment\",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:\"user\",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error(\"Could not obtain video from webcam.\");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=gy.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=ir(J(t,\"float32\"),0),n;n=oo.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,\"bilinear\");let o=n.shape;return R(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error(\"Can not convert infinite video stream to array.\")}};var ed=class{};var Vh=class extends tr{split(t){return new PN(this,t)}},PN=class extends Vh{constructor(t,e){super(),this.upstream=t,this.impl=new LN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},LN=class extends _c{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=\"\"}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===\"\"?!1:(this.outputQueue.push(this.carryover),this.carryover=\"\",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Xb=class extends tr{decodeUTF8(){return new MN(this)}},MN=class extends Vh{constructor(t){super(),this.upstream=t,this.impl=new zN(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},zN=class extends _c{constructor(t){if(super(),this.upstream=t,M().get(\"IS_BROWSER\"))this.decoder=new TextDecoder(\"utf-8\");else{let{StringDecoder:e}=wN();this.decoder=new e(\"utf8\")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return M().get(\"IS_BROWSER\")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var rd=class extends Xb{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(M().get(\"IS_BROWSER\")?t instanceof File||t instanceof Blob:!1),()=>\"FileChunkIterator only supports File, Blob and Uint8Array right now.\"),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError(\"FileReader returned unknown type.\"));e(u)},s.onabort=a=>n(new Error(\"Aborted\")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function NR(r,t={},e){let n,o;typeof r==\"string\"?n=r:(n=r.url,o=Q7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new rd(i,t)}else throw new Error(s.statusText)}var Q7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Yb(r){return typeof r==\"string\"&&r.slice(0,7)===\"file://\"}var nd=class extends ed{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Yb(this.input)&&M().get(\"IS_NODE\")){let t=Zb();this.input=t.readFileSync(this.input.slice(7))}return new rd(this.input,this.options)}};var od=class extends ed{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Yb(this.url)?new nd(this.url,this.fileOptions).iterator():NR(this.url,this.fileOptions)}};function TR(r,t={}){return new Jf(new od(r),t)}function kR(r){let t=zh(r);return En(async()=>t)}function ER(r){return En(async()=>{let t=await r();return zh(()=>t.next())})}async function _R(r,t){return td.create(r,t)}async function AR(r){return Qf.create(r)}var BN=\"4.2.0\";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var tJ=qr.whereImpl,wu=class extends zo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ia(this,Ln())}nextDataId(){return wu.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,M().get(\"IS_NODE\")&&S.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e===\"string\"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e===\"complex64\"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return S.mergeRealAndImagArrays(o,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(t).values,e)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return bt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return bt(t.shape,t.dtype,e)}makeOutput(t,e,n){return Ln().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(t){tt([t],\"where\");let e=this.readSync(t.dataId);return tJ(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};wu.nextDataId=0;var mw={};Ut(mw,{addImpl:()=>WN,bincountImpl:()=>ad,bincountReduceImpl:()=>Jb,castImpl:()=>GN,ceilImpl:()=>UN,concatImpl:()=>Ac,equalImpl:()=>HN,expImpl:()=>KN,expm1Impl:()=>XN,floorImpl:()=>YN,gatherNdImpl:()=>Qb,gatherV2Impl:()=>tw,greaterEqualImpl:()=>JN,greaterImpl:()=>ZN,lessEqualImpl:()=>tT,lessImpl:()=>QN,linSpaceImpl:()=>ew,logImpl:()=>eT,maxImpl:()=>rw,maximumImpl:()=>rT,minimumImpl:()=>nT,multiplyImpl:()=>Gh,negImpl:()=>oT,notEqualImpl:()=>sT,prodImpl:()=>iT,raggedGatherImpl:()=>nw,raggedRangeImpl:()=>ow,raggedTensorToTensorImpl:()=>sw,rangeImpl:()=>Dc,rsqrtImpl:()=>aT,scatterImpl:()=>xl,sigmoidImpl:()=>iF,simpleAbsImpl:()=>VN,sliceImpl:()=>Rc,sparseFillEmptyRowsImpl:()=>iw,sparseReshapeImpl:()=>aw,sparseSegmentReductionImpl:()=>cd,sqrtImpl:()=>uF,squaredDifferenceImpl:()=>uT,stridedSliceImpl:()=>lw,stringNGramsImpl:()=>Fc,stringSplitImpl:()=>Oc,stringToHashBucketFastImpl:()=>Pc,subImpl:()=>pT,tileImpl:()=>uw,topKImpl:()=>cw,transposeImpl:()=>ld,uniqueImpl:()=>pw});function VN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,\"abs\");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=VN(o),e.makeOutput(n,t.shape,t.dtype)},DR={kernelName:li,backendName:\"cpu\",kernelFunc:eJ};function Qt(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function Ir(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,\"complex64\"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,\"float32\",s),imag:e.makeTensorInfo(o.shape,\"float32\",i)},a}var RR={kernelName:mp,backendName:\"cpu\",kernelFunc:Ir};function sd(r,t,e=\"float32\"){if(e===\"complex64\"){let o=sd(r,t,\"float32\"),s=sd(r,t,\"float32\");return Ir({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function Xr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var FR={kernelName:po,backendName:\"cpu\",kernelFunc:Xr};function Ao(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var OR={kernelName:Fp,backendName:\"cpu\",kernelFunc:Ao};function GN(r,t,e,n){if(n===\"int32\"){let o=Int32Array.from(r);return[t,\"int32\",o]}if(n===\"bool\"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,\"bool\");return[i,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function $o(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return Xr({inputs:{x:o},backend:e});let c=sd(e,o.shape,o.dtype),p=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),m=Ir({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype===\"complex64\"){let c=Ao({inputs:{input:o},backend:e}),p=$o({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=Xr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=GN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var PR={kernelName:uo,backendName:\"cpu\",kernelFunc:$o};function ie(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype===\"string\"?S.fromUint8ToStringArray(l):l,m=i.dtype===\"string\"?S.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype===\"complex64\"||a.dtype===\"complex64\"){let l=$o({inputs:{x:i},backend:u,attrs:{dtype:\"complex64\"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=$o({inputs:{x:a},backend:u,attrs:{dtype:\"complex64\"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,\"float32\",N),F=u.makeTensorInfo(A,\"float32\",_),P=Ir({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function id(r){return(t,e,n,o,s,i)=>{let a=S.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType(\"float32\",u),m=y.getTypedArrayFromDType(\"float32\",u),f=S.getBroadcastDims(t,a),d=S.getBroadcastDims(e,a),h=S.mergeRealAndImagArrays(n,o),g=S.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var WN=Qt((r,t)=>r+t),rJ=id((r,t,e,n)=>({real:r+e,imag:t+n})),Yi=ie(Jn,WN,rJ),LR={kernelName:Jn,backendName:\"cpu\",kernelFunc:Yi};function ad(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Jb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=bt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function wn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var UN=wn(r=>Math.ceil(r)),nJ=Do(Ho,UN),MR={kernelName:Ho,backendName:\"cpu\",kernelFunc:nJ};function Ac(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!==\"string\"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e===\"string\"?S.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),qN=ie(Ca,HN,null,\"bool\"),zR={kernelName:Ca,backendName:\"cpu\",kernelFunc:qN};var KN=wn(r=>Math.exp(r)),jN=Do(ts,KN,\"float32\"),BR={kernelName:ts,backendName:\"cpu\",kernelFunc:jN};var XN=wn(r=>Math.expm1(r)),oJ=Do(Ia,XN),VR={kernelName:Ia,backendName:\"cpu\",kernelFunc:oJ};var YN=wn(r=>Math.floor(r)),sJ=Do(es,YN),GR={kernelName:es,backendName:\"cpu\",kernelFunc:sJ};function Qb(r,t,e,n,o,s,i,a,u){let l=bt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),iJ=ie(Na,ZN,null,\"bool\"),WR={kernelName:Na,backendName:\"cpu\",kernelFunc:iJ};var JN=Qt((r,t)=>r>=t?1:0),aJ=ie(os,JN,null,\"bool\"),UR={kernelName:os,backendName:\"cpu\",kernelFunc:aJ};var QN=Qt((r,t)=>rr<=t?1:0),uJ=ie(_a,tT,null,\"bool\"),qR={kernelName:_a,backendName:\"cpu\",kernelFunc:uJ};function ew(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,\"float32\");o[0]=r;for(let s=1;sMath.log(r)),cJ=Do(as,eT),KR={kernelName:as,backendName:\"cpu\",kernelFunc:cJ};function rw(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var rT=Qt((r,t)=>Math.max(r,t)),pJ=ie(us,rT),jR={kernelName:us,backendName:\"cpu\",kernelFunc:pJ};var nT=Qt((r,t)=>Math.min(r,t)),mJ=ie(fs,nT),XR={kernelName:fs,backendName:\"cpu\",kernelFunc:mJ};var Gh=Qt((r,t)=>r*t),fJ=id((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),$c=ie(hs,Gh,fJ),YR={kernelName:hs,backendName:\"cpu\",kernelFunc:$c};function oT(r,t,e){let n=y.createScalarValue(-1,e);return Gh([],t,n,r,e)}function dJ(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,\"neg\");let o=e.data.get(n.dataId).values,[s,i]=oT(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var ZR={kernelName:fi,backendName:\"cpu\",kernelFunc:dJ};var sT=Qt((r,t)=>r!==t?1:0),hJ=ie(Oa,sT,null,\"bool\"),JR={kernelName:Oa,backendName:\"cpu\",kernelFunc:hJ};function ld(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var tF={kernelName:ws,backendName:\"cpu\",kernelFunc:gJ};function xJ(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(\",\");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function yJ(r,t){for(let e=0;eo)throw new Error(\"Ragged splits must not point past values\");for(let s=1;sn[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function bJ(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);yJ(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function eF(r,t){let e=r.slice(0,t);for(;e.length1)throw new Error(\"starts must be a scalar or vector\");if(o.length>1)throw new Error(\"limits must be a scalar or vector\");if(i.length>1)throw new Error(\"deltas must be a scalar or vector\");let a=t.length===0,u=o.length===0,l=i.length===0,c=[];a||c.push(t[0]),u||c.push(o[0]),l||c.push(i[0]);for(let g=1;g0&&bx)C=0;else if(C=Math.ceil(Math.abs((b-x)/w)),C>rF)throw new Error(`Requires ((limit - start) / delta) <= ${rF}`);m[g+1]=m[g]+C}let f=m[p],d=y.getArrayFromDType(e,f),h=0;for(let g=0;gn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error(\"Invalid row split size.\");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error(\"Invalid row ids.\");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Ro.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Ro.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Ro[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let e=this.rowPartitionTypes[0];switch(e){case Ro.FIRST_DIM_SIZE:return t[0];case Ro.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case Ro.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ro[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=oF(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=R(c,d);c=Fi(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);nF(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function nF(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function sw(r,t,e,n,o,s,i,a,u,l){return new ud(r,t,e,n,o,s,i,a,u,l).compute()}function Dc(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),vJ=Do(Es,aT),sF={kernelName:Es,backendName:\"cpu\",kernelFunc:vJ};function xl(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return bt(e,t.dtype);let f=bt(c,t.dtype);typeof u==\"string\"||typeof u==\"number\"?f.values.fill(u):typeof u==\"boolean\"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),lT=Et(As,r=>1/(1+Math.exp(-r))),aF={kernelName:As,backendName:\"cpu\",kernelFunc:lT};function Rc(r,t,e,n,o){let s=ze.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=ze.computeFlatOffset(t,a);return o===\"string\"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o===\"string\"?S.fromUint8ToStringArray(r):r,l=bt(n,o,u),c=bt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o===\"string\"?S.fromStringArrayToUint8(c.values):c.values}function Fo(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,\"slice\");let[a,u]=ze.parseSliceParams(o,s,i);ze.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=Rc(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var lF={kernelName:yi,backendName:\"cpu\",kernelFunc:Fo};function iw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),SJ=Et($s,r=>Math.sqrt(r)),cF={kernelName:$s,backendName:\"cpu\",kernelFunc:SJ};var uT=Qt((r,t)=>{let e=r-t;return e*e}),NJ=ie(Fs,uT),pF={kernelName:Fs,backendName:\"cpu\",kernelFunc:NJ};function lw(r,t,e,n){let o=bt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType(\"int32\",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Fc(r,t,e,n,o,s,i,a){return new cT(e,n,o,s,i,a).compute(r,t)}function TJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),kJ=id((r,t,e,n)=>({real:r-e,imag:t-n})),Wh=ie(Os,pT,kJ),mF={kernelName:Os,backendName:\"cpu\",kernelFunc:Wh};function uw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function fF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));fF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Uh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Uh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function cw(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType(\"int32\",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew wu,1);var mT=Et(Qo,r=>r>=0?r:Math.exp(r)-1),dF={kernelName:Qo,backendName:\"cpu\",kernelFunc:mT};function fT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],\"leakyRelu\");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType(\"float32\",i);for(let l=0;lr<0?t*r:r);function dT(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],\"prelu\");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=_J(n.shape,o.shape,s,i,\"float32\");return e.makeTensorInfo(u,\"float32\",a)}var gF={kernelName:bs,backendName:\"cpu\",kernelFunc:dT};var hT=Et(Is,r=>Math.max(0,r)),xF={kernelName:Is,backendName:\"cpu\",kernelFunc:hT};var gT=Et(Ns,r=>Math.min(Math.max(0,r),6)),yF={kernelName:Ns,backendName:\"cpu\",kernelFunc:gT};function Lc(r,t,e,n,o){if(e===\"linear\")return Xr({inputs:{x:t},backend:r});if(e===\"relu\")return hT({inputs:{x:t},backend:r});if(e===\"elu\")return mT({inputs:{x:t},backend:r});if(e===\"relu6\")return gT({inputs:{x:t},backend:r});if(e===\"prelu\")return dT({inputs:{x:t,alpha:n},backend:r});if(e===\"leakyrelu\")return fT({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e===\"sigmoid\")return lT({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Zt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var bF={kernelName:gi,backendName:\"cpu\",kernelFunc:Zt};function xT(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],\"matMul\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Zt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Zt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[K,X,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=bt([V,F,P],_.dtype),st=nt.values,ft=e.blockSize;for(let gt=0;gtMath.acos(r)),IF={kernelName:la,backendName:\"cpu\",kernelFunc:$J};var DJ=Et(ua,r=>Math.acosh(r)),vF={kernelName:ua,backendName:\"cpu\",kernelFunc:DJ};function RJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,\"addN\");let o=n.map(a=>e.data.get(a.dataId).values),s=bt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var kF={kernelName:Go,backendName:\"cpu\",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,\"argMin\");let i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Ge({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],S.assertAxesAreInnerMostDims(\"argMin\",i,u.shape.length);let[c,p]=S.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,\"int32\"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var EF={kernelName:_l,backendName:\"cpu\",kernelFunc:LJ};var MJ=Et(ma,r=>Math.asin(r)),_F={kernelName:ma,backendName:\"cpu\",kernelFunc:MJ};var zJ=Et(fa,r=>Math.asinh(r)),AF={kernelName:fa,backendName:\"cpu\",kernelFunc:zJ};var BJ=Et(da,r=>Math.atan(r)),$F={kernelName:da,backendName:\"cpu\",kernelFunc:BJ};var VJ=Qt((r,t)=>Math.atan2(r,t)),GJ=ie(ga,VJ),DF={kernelName:ga,backendName:\"cpu\",kernelFunc:GJ};var WJ=Et(ha,r=>Math.atanh(r)),RF={kernelName:ha,backendName:\"cpu\",kernelFunc:WJ};function pd(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=bt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CX?X=ft:s===\"avg\"&&(Z+=ft,et++)}if(isNaN(X))break}let rt=G+W*w+A;g[rt]=s===\"avg\"?Z/et:X}}}return h}function fw(r,t,e,n,o=!1,s=!1){let i=bt(n.outShape,\"int32\"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=bt(t,e,r);for(let g=0;gP&&(P=K,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function dw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=bt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;F$t?$t=$e:s===\"avg\"&&(_t+=$e,Gt++),isNaN($t))break}if(isNaN($t))break}if(isNaN($t))break}let Wt=Ct+G;C[Wt]=s===\"avg\"?_t/Math.max(Gt,1):$t}}}}return w}function FF(r,t){let e=bt(t.outShape,\"int32\"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=K*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function UJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Xr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=pd(m,o.shape,o.dtype,f,c,\"avg\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var OF={kernelName:Wo,backendName:\"cpu\",kernelFunc:UJ};function HJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"avgPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"avg\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var PF={kernelName:Al,backendName:\"cpu\",kernelFunc:HJ};function qJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"avgPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=bt(s.shape,\"float32\"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let st=0;st=c.outHeight||Math.floor(ft)!==ft))for(let gt=0;gt<_;gt+=w){let Ct=(rt+gt)/f;if(Ct<0||Ct>=c.outWidth||Math.floor(Ct)!==Ct)continue;let $t=G.get(W,nt,ft,Ct,q);ot+=$t}}}P.set(ot*V,W,H,K,X,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var LF={kernelName:up,backendName:\"cpu\",kernelFunc:qJ};function KJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=bt(i.shape,\"float32\"),_=1/(f*d),A=e.data.get(o.dataId).values,$=bt(o.shape,\"float32\",A);for(let F=0;F=c.outHeight||Math.floor(X)!==X))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;let rt=$.get(F,X,et,P);H+=rt}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var MF={kernelName:lp,backendName:\"cpu\",kernelFunc:KJ};function jJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||a.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||a.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),tt([o,a,u,s,i],\"batchNorm\");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var zF={kernelName:ns,backendName:\"cpu\",kernelFunc:jJ};function XJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],\"batchToSpaceND\");let a=s.reduce((x,b)=>x*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=Zt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Ge({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Zt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Fo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var BF={kernelName:ui,backendName:\"cpu\",kernelFunc:XJ};function YJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=ad(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var VF={kernelName:cp,backendName:\"cpu\",kernelFunc:YJ};function ZJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var GF={kernelName:pp,backendName:\"cpu\",kernelFunc:ZJ};var JJ=Et(co,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return Xr({inputs:{x:u[0]},backend:e});if(u[0].dtype===\"complex64\"){let h=u.map(C=>Ao({inputs:{input:C},backend:e})),g=u.map(C=>Zi({inputs:{input:C},backend:e})),x=Cu({inputs:h,backend:e,attrs:{axis:s}}),b=Cu({inputs:g,backend:e,attrs:{axis:s}}),w=Ir({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Zt({inputs:{x:h},backend:e,attrs:{shape:x}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=S.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ac(c,a,t[0].dtype,p),f=S.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var qF={kernelName:ci,backendName:\"cpu\",kernelFunc:Cu};function yT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],\"conv2d\");let p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat===\"channelsLast\",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,K=e.data.get(s.dataId).values,X=C.values;for(let Z=0;Z=m.inHeight)continue;let gt=st*_[0],Ct=et+ft*$;for(let $t=0;$t=m.inWidth)continue;let he=gt+Wt*_[1],ee=Ct+ue*F,ge=he;for(let fe=0;fe=l.inDepth)continue;let Z=K*F[0],et=V+X*$[1];for(let rt=0;rt=l.inHeight)continue;let ft=Z+nt*F[1],gt=et+st*$[2];for(let Ct=0;Ct=l.inWidth)continue;let ue=ft+Gt*F[2],he=gt+Wt*l.inChannels,ee=ue;for(let ge=0;geMath.cos(r)),QF={kernelName:jo,backendName:\"cpu\",kernelFunc:sQ};var iQ=Et(Xo,r=>Math.cosh(r)),tO={kernelName:Xo,backendName:\"cpu\",kernelFunc:iQ};function aQ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=bt([d,h,g,f],\"float32\"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let K=0;K1?F*(p-1)+K*q:.5*(F+V)*(p-1);if(X<0||X>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let gt=0;gt1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=S.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=K*p[0],et=V+X*c[1];for(let rt=0;rt=f.inWidth)continue;let ft=Z+nt*p[1],gt=et+st*f.inChannels,Ct=ot,$t=ft;for(let _t=0;_t{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=S.computeDilation2DInfo(n.shape,o.shape,s,i,\"NHWC\",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&st=0&>ot&&(ot=_t)}}}let at=y.locToIndex([H,K,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var pO={kernelName:jd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${jd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&ftet&&(et=gt,rt=at,ot=st)}}}V[rt][ot][Z]+=P[W][q][K][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var mO={kernelName:Kd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${Kd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&ftet&&(et=gt,rt=nt,ot=ft)}}}V[W][rt][ot][Z]+=P[W][q][K][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function yl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"sum\");let a;o.dtype===\"bool\"?a=$o({inputs:{x:o},backend:e,attrs:{dtype:\"int32\"}}):a=Xr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=S.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Ge({inputs:{x:a},backend:e,attrs:{perm:c}}),p=S.getInnerMostAxes(p.length,u)),S.assertAxesAreInnerMostDims(\"sum\",p,m.shape.length);let[f,d]=S.computeOutAndReduceShapes(m.shape,p),h=S.upcastType(m.dtype,\"int32\"),g=sd(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=yl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var dO={kernelName:wp,backendName:\"cpu\",kernelFunc:hQ};function gQ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,\"float32\",s)}var hO={kernelName:Cp,backendName:\"cpu\",kernelFunc:gQ};var xQ=S.ERF_P,yQ=S.ERF_A1,bQ=S.ERF_A2,wQ=S.ERF_A3,CQ=S.ERF_A4,IQ=S.ERF_A5,vQ=Et(wa,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+xQ*e);return t*(1-((((IQ*n+CQ)*n+wQ)*n+bQ)*n+yQ)*n*Math.exp(-e*e))}),gO={kernelName:wa,backendName:\"cpu\",kernelFunc:vQ};function md(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Zt({inputs:{x:o},backend:e,attrs:{shape:a}})}var xO={kernelName:pi,backendName:\"cpu\",kernelFunc:md};var SQ=Qt((r,t)=>r/t),Hh=ie(Jo,SQ),qh={kernelName:Jo,backendName:\"cpu\",kernelFunc:Hh};function hw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),$Q=ie(rs,AQ,null,\"int32\"),CO={kernelName:rs,backendName:\"cpu\",kernelFunc:$Q};function DQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=yT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c===\"NCHW\"&&i.shape.length===1&&i.shape[0]!==1){let x=Zt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Yi({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Yi({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c===\"NCHW\"&&f===\"prelu\"&&a.shape.length===1&&a.shape[0]!==1){let x=Zt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Lc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Lc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var IO={kernelName:Si,backendName:\"cpu\",kernelFunc:DQ};function RQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=bT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Yi({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Lc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var vO={kernelName:Ni,backendName:\"cpu\",kernelFunc:RQ};function FQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=S.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=Qb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var SO={kernelName:Sa,backendName:\"cpu\",kernelFunc:FQ};function OQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],\"gatherV2\");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=S.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Zt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Zt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=tw(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var NO={kernelName:mi,backendName:\"cpu\",kernelFunc:OQ};function PQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Zt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=hw(a,!0,e),l=Zt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var TO={kernelName:vp,backendName:\"cpu\",kernelFunc:PQ};var LQ=Et(Ta,r=>Number.isFinite(r)?1:0,\"bool\"),kO={kernelName:Ta,backendName:\"cpu\",kernelFunc:LQ};var MQ=Et(ka,r=>Math.abs(r)===1/0?1:0,\"bool\"),EO={kernelName:ka,backendName:\"cpu\",kernelFunc:MQ};var zQ=Et(ss,r=>Number.isNaN(r)?1:0,\"bool\"),_O={kernelName:ss,backendName:\"cpu\",kernelFunc:zQ};function BQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=ew(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var AO={kernelName:Np,backendName:\"cpu\",kernelFunc:BQ};var VQ=Et(Aa,r=>Math.log1p(r)),$O={kernelName:Aa,backendName:\"cpu\",kernelFunc:VQ};var GQ=Qt((r,t)=>r&&t),WQ=ie($a,GQ,null,\"bool\"),DO={kernelName:$a,backendName:\"cpu\",kernelFunc:WQ};var UQ=Et(Da,r=>r?0:1,\"bool\"),RO={kernelName:Da,backendName:\"cpu\",kernelFunc:UQ};var HQ=Qt((r,t)=>r||t),qQ=ie(Ra,HQ,null,\"bool\"),FO={kernelName:Ra,backendName:\"cpu\",kernelFunc:qQ};function KQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,\"LRN\");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Xr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=pd(m,o.shape,o.dtype,f,c,\"max\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var MO={kernelName:cs,backendName:\"cpu\",kernelFunc:XQ};function YQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"maxPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"max\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var zO={kernelName:Pl,backendName:\"cpu\",kernelFunc:YQ};function ZQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"maxPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=FF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=bt(s.shape,\"float32\"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let st=0;st=c.outWidth||Math.floor(ft)!==ft)continue;let gt=w*C*N-1-m.get(V,ot,nt,ft,G),Ct=rt*C*N+at*N+st,$t=gt===Ct?1:0;if($t===0)continue;let _t=P.get(V,ot,nt,ft,G);et+=_t*$t}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var BO={kernelName:Ep,backendName:\"cpu\",kernelFunc:ZQ};function JQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=bt(m.outShape,a.dtype,fw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=bt(a.shape,\"float32\"),$=e.data.get(o.dataId).values,F=bt(o.shape,\"float32\",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=X*C+et,nt=ot===at?1:0;if(nt===0)continue;let st=F.get(P,Z,rt,V);K+=st*nt}}A.set(K,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var VO={kernelName:kp,backendName:\"cpu\",kernelFunc:JQ};function GO(r,t,e,n,o){let s=y.computeStrides(t),i=pd(r,t,e,s,o,\"max\"),a=fw(r,t,e,o,!0,n);return[i.values,a.values]}var WO={kernelName:_p,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,\"MaxPoolWithArgmax\");let l=u.data.get(n.dataId).values,c=S.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=GO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:\"int32\"}]}};function QQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=S.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],\"float32\",new Float32Array([c]));p.push(m);let f=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}});p.push(f);let d=Hh({inputs:{a:f,b:m},backend:e});p.push(d);let h=yl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var UO={kernelName:ps,backendName:\"cpu\",kernelFunc:QQ};function t9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"min\");let a=y.parseAxisParam(s,o.shape),u=a,l=S.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Ge({inputs:{x:o},backend:e,attrs:{perm:l}}),u=S.getInnerMostAxes(u.length,o.shape.length)),S.assertAxesAreInnerMostDims(\"min\",u,c.shape.length);let[p,m]=S.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i===\"reflect\"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var qO={kernelName:ds,backendName:\"cpu\",kernelFunc:e9};var r9=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),n9=ie(Fa,r9),KO={kernelName:Fa,backendName:\"cpu\",kernelFunc:n9};var XO=El(ch());function IT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=CT({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=S.expandShapeToKeepDim(l.shape,u),p=Zt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Wh({inputs:{a:o,b:p},backend:e}),f=jN({inputs:{x:m},backend:e}),d=yl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Zt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Hh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var jO={kernelName:Rs,backendName:\"cpu\",kernelFunc:IT};function o9(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,\"multinomial\");let u=a?o:IT({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=md({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Cu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var oP={kernelName:hi,backendName:\"cpu\",kernelFunc:vT};function m9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,\"pad\");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var gw={kernelName:xs,backendName:\"cpu\",kernelFunc:m9};var f9=Qt((r,t)=>Math.pow(r,t)),d9=ie(ys,f9),sP={kernelName:ys,backendName:\"cpu\",kernelFunc:d9};function h9(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=nw(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var iP={kernelName:$p,backendName:\"cpu\",kernelFunc:h9};function g9(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ow(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var aP={kernelName:Dp,backendName:\"cpu\",kernelFunc:g9};function x9(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=sw(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var lP={kernelName:Rp,backendName:\"cpu\",kernelFunc:x9};function y9(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Dc(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var uP={kernelName:Ll,backendName:\"cpu\",kernelFunc:y9};var b9=Et(Cs,r=>1/r),cP={kernelName:Cs,backendName:\"cpu\",kernelFunc:b9};function w9(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,\"resizeBilinear\");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],st=at*w,ft=Math.min(c-1,i?Math.round(st):Math.floor(st));if(V===ft)for(let gt=0;gt<$;gt++){let Ct=gt+Z;if(Ct<0||Ct>=d)continue;let $t=nt+Ct*u[2],_t=Ct*C,Gt=Math.min(p-1,i?Math.round(_t):Math.floor(_t));H===Gt&&(rt+=g[$t+et])}}h[K+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var dP={kernelName:Op,backendName:\"cpu\",kernelFunc:v9};function S9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,\"reverse\");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return Xr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var hP={kernelName:Ts,backendName:\"cpu\",kernelFunc:S9};var gP={kernelName:ja,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=S.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),xP={kernelName:ks,backendName:\"cpu\",kernelFunc:N9};function T9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=xl(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var yP={kernelName:za,backendName:\"cpu\",kernelFunc:T9};function k9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?D9*r:$9*(Math.exp(r)-1)),IP={kernelName:Ba,backendName:\"cpu\",kernelFunc:R9};var F9=Et(Ga,r=>r<0?-1:r>0?1:0),vP={kernelName:Ga,backendName:\"cpu\",kernelFunc:F9};var O9=Et(_s,r=>Math.sin(r)),SP={kernelName:_s,backendName:\"cpu\",kernelFunc:O9};var P9=Et(Va,r=>Math.sinh(r)),NP={kernelName:Va,backendName:\"cpu\",kernelFunc:P9};var L9=11920928955078125e-23,TP=Math.log(L9)+2,M9=Et(Wa,r=>{let t=r>-TP,e=rNumber(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var _P={kernelName:Ml,backendName:\"cpu\",kernelFunc:B9};function V9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=aw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var AP={kernelName:Ua,backendName:\"cpu\",kernelFunc:V9};function G9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=cd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var $P={kernelName:zl,backendName:\"cpu\",kernelFunc:G9};function W9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=cd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var DP={kernelName:Bl,backendName:\"cpu\",kernelFunc:W9};function U9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case\"bool\":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"float32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"int32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"string\":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=xl(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var RP={kernelName:Mp,backendName:\"cpu\",kernelFunc:U9};function H9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Fo({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var FP={kernelName:wi,backendName:\"cpu\",kernelFunc:H9};var OP={kernelName:Vl,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,\"square\");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),PP={kernelName:mo,backendName:\"cpu\",kernelFunc:q9};function K9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,\"stridedSlice\");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Zt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=ze.computeOutShape(b,w,C),A=Fo({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Zt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=lw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var LP={kernelName:Ha,backendName:\"cpu\",kernelFunc:K9};function j9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Fc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var MP={kernelName:Gl,backendName:\"cpu\",kernelFunc:j9};function X9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Oc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var zP={kernelName:Wl,backendName:\"cpu\",kernelFunc:X9};function Y9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.data.get(s.dataId).values,a=Pc(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var BP={kernelName:Ul,backendName:\"cpu\",kernelFunc:Y9};var Z9=Et(Ps,r=>Math.tan(r)),VP={kernelName:Ps,backendName:\"cpu\",kernelFunc:Z9};var J9=Et(Ls,r=>Math.tanh(r)),GP={kernelName:Ls,backendName:\"cpu\",kernelFunc:J9};function Q9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,\"tile\");let i=uw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var WP={kernelName:Qn,backendName:\"cpu\",kernelFunc:Q9};function ttt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,\"topk\");let a=e.data.get(o.dataId).values,[u,l]=cw(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var UP={kernelName:qa,backendName:\"cpu\",kernelFunc:ttt};function ett(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function ntt(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function ott(r,t){return r}function stt(r,t){return y.clamp(0,r,t-1)}function Xh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var XP={kernelName:Hl,backendName:\"cpu\",kernelFunc:ctt};var ptt=[CF,DR,IF,vF,LR,SF,NF,TF,kF,EF,_F,AF,$F,DF,RF,OF,PF,LF,MF,wF,zF,BF,VF,GF,PR,MR,WF,RR,UF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,oO,sO,iO,aO,lO,uO,cO,pO,mO,dO,dF,hO,zR,gO,BR,xO,VR,yO,bO,wO,GR,CO,IO,vO,SO,NO,WR,UR,FR,TO,HF,kO,EO,_O,hF,HR,qR,AO,KR,$O,DO,RO,FO,OO,PO,LO,jR,MO,zO,BO,VO,WO,UO,HO,XR,qO,KO,YO,YR,ZR,ZO,JO,QO,JR,tP,nP,oP,gw,sP,gF,tF,iP,aP,lP,uP,OR,qh,cP,xF,yF,bF,pP,mP,fP,dP,hP,gP,xP,sF,yP,wP,CP,IP,aF,vP,SP,NP,lF,jO,kP,EP,_P,AP,$P,DP,RP,FP,cF,OP,pF,PP,LP,MP,zP,BP,mF,fO,VP,GP,WP,UP,qP,QR,KP,jP,XP,eP];for(let r of ptt)Fu(r);var gd={};Ut(gd,{assertNotComplex:()=>ti,bindCanvasToFramebuffer:()=>wtt,bindColorTextureToFramebuffer:()=>Qh,bindTextureToProgramUniformSampler:()=>zT,bindTextureUnit:()=>QP,bindVertexBufferToProgramAttribute:()=>Iw,callAndCheck:()=>ht,canBeRepresented:()=>kT,createFragmentShader:()=>_T,createFramebuffer:()=>PT,createProgram:()=>AT,createStaticIndexBuffer:()=>RT,createStaticVertexBuffer:()=>DT,createTexture:()=>FT,createVertexShader:()=>ET,getBatchDim:()=>wl,getExtensionOrThrow:()=>fd,getFramebufferErrorMessage:()=>tL,getMaxTexturesInShader:()=>GT,getNumChannels:()=>ytt,getProgramUniformLocation:()=>MT,getProgramUniformLocationOrThrow:()=>LT,getRowsCols:()=>Cl,getShapeAs3D:()=>hd,getTextureShapeFromLogicalShape:()=>BT,getWebGLDisjointQueryTimerVersion:()=>WT,getWebGLErrorMessage:()=>JP,getWebGLMaxTextureSize:()=>VT,hasExtension:()=>Un,isCapableOfRenderingToFloatTexture:()=>UT,isDownloadFloatTextureEnabled:()=>HT,isReshapeFree:()=>vu,isWebGLFenceEnabled:()=>qT,isWebGLVersionEnabled:()=>Sw,linkProgram:()=>$T,logShaderSourceAndInfoLog:()=>Cw,resetMaxTextureSize:()=>Ctt,resetMaxTexturesInShader:()=>Itt,unbindColorTextureFromFramebuffer:()=>vw,unbindTextureUnit:()=>btt,validateFramebuffer:()=>dd,validateProgram:()=>Jh,validateTextureSize:()=>OT});var Mc={},xw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function ST(r,t){Mc[r]=t}function Wn(r,t){if(!(r in Mc)||t!=null){let n=ftt(r,t);if(n!==null)Mc[r]=n;else return console.log(\"Could not get context for WebGL version\",r),null}let e=Mc[r];return e==null||e.isContextLost()?(delete Mc[r],Wn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Mc[r])}function mtt(r){if(typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function ftt(r,t){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let e=t==null?mtt(r):t;return e.addEventListener(\"webglcontextlost\",n=>{n.preventDefault(),delete Mc[r]},!1),M().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(xw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext(\"webgl\",xw)||e.getContext(\"experimental-webgl\",xw):e.getContext(\"webgl2\",xw)}var Iu;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(Iu||(Iu={}));var Yr;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(Yr||(Yr={}));var Lr;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(Lr||(Lr={}));function zc(r,t){return[t,r]}function YP(r,t){return r*t}function Yh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Ji(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function ZP(r,t){let[e,n]=Ji(r,t);return e*n*4}function Zh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return M().getNumber(\"WEBGL_VERSION\")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function ht(r,t){let e=t();return M().getBool(\"DEBUG\")&&dtt(r),e}function dtt(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+JP(r,t))}var htt=596e-10,gtt=65504;function kT(r){return!!(M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||httr.getExtension(t),'Extension \"'+t+'\" not supported on this browser.')}function ET(r,t){let e=bl(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(ht(r,()=>r.shaderSource(e,t)),ht(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error(\"Failed to compile vertex shader.\");return e}function _T(r,t){let e=bl(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(ht(r,()=>r.shaderSource(e,t)),ht(r,()=>r.compileShader(e)),M().get(\"ENGINE_COMPILE_ONLY\"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw Cw(t,r.getShaderInfoLog(e)),new Error(\"Failed to compile fragment shader.\");return e}var xtt=/ERROR: [0-9]+:([0-9]+):/g;function Cw(r,t){let e=xtt.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(`\n`),s=o.length.toString().length+2,i=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;pr.createProgram(),\"Unable to create WebGLProgram.\")}function $T(r,t){if(ht(r,()=>r.linkProgram(t)),!M().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function Jh(r,t){if(ht(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function DT(r,t){let e=bl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),ht(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function RT(r,t){let e=bl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ht(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),ht(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function ytt(){return M().getNumber(\"WEBGL_VERSION\")===2?1:4}function FT(r){return bl(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function OT(r,t){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+o+\".\")}}function PT(r){return bl(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function Iw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),ht(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),ht(r,()=>r.enableVertexAttribArray(a)),!0)}function QP(r,t,e){eL(r,e),ht(r,()=>r.activeTexture(r.TEXTURE0+e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function btt(r,t){eL(r,t),ht(r,()=>r.activeTexture(r.TEXTURE0+t)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function LT(r,t,e){return bl(r,()=>r.getUniformLocation(t,e),'uniform \"'+e+'\" not present in program.')}function MT(r,t,e){return r.getUniformLocation(t,e)}function zT(r,t,e,n){ht(r,()=>QP(r,t,n)),ht(r,()=>r.uniform1i(e,n))}function wtt(r){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),ht(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),ht(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Qh(r,t,e){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),ht(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function vw(r,t){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),ht(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function dd(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+tL(r,t))}function tL(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${t}`}}function bl(r,t,e){let n=ht(r,()=>t());if(n==null)throw new Error(e);return n}function eL(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function wl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function Cl(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function hd(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[wl(r),...Cl(r)]),t}function BT(r,t=!1){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),n=M().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");n===1/0&&M().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=wl(r),u=2,l=2;r.length&&([u,l]=Cl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function yw(r){return r%2===0}function vu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||yw(e)&&yw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&yw(r[0])&&yw(t[0])}var bw,ww;function VT(r){if(bw==null){let t=Wn(r);bw=t.getParameter(t.MAX_TEXTURE_SIZE)}return bw}function Ctt(){bw=null}function Itt(){ww=null}function GT(r){if(ww==null){let t=Wn(r);ww=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,ww)}function WT(r){if(r===0)return 0;let t,e=Wn(r);return Un(e,\"EXT_disjoint_timer_query_webgl2\")&&r===2?t=2:Un(e,\"EXT_disjoint_timer_query\")?t=1:t=0,t}function Un(r,t){return r.getExtension(t)!=null}function Sw(r){try{if(Wn(r)!=null)return!0}catch(t){return console.log(\"Error when getting WebGL context: \",t),!1}return!1}function UT(r){if(r===0)return!1;let t=Wn(r);if(r===1){if(!Un(t,\"OES_texture_float\"))return!1}else if(!Un(t,\"EXT_color_buffer_float\"))return!1;return TT(t)}function HT(r){if(r===0)return!1;let t=Wn(r);if(r===1){if(!Un(t,\"OES_texture_float\")||!Un(t,\"WEBGL_color_buffer_float\"))return!1}else{if(Un(t,\"EXT_color_buffer_float\"))return TT(t);let n=\"EXT_color_buffer_half_float\";if(Un(t,n)){let o=t.getExtension(n);return vtt(t,o)}return!1}return TT(t)}function TT(r){let t=Zh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function vtt(r,t){let e=Zh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function qT(r){return r!==2?!1:Wn(r).fenceSync!=null}function ti(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Tt=M();Tt.registerFlag(\"HAS_WEBGL\",()=>Tt.getNumber(\"WEBGL_VERSION\")>0);Tt.registerFlag(\"WEBGL_VERSION\",()=>Sw(2)?2:Sw(1)?1:0);Tt.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Tt.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Tt.get(\"WEBGL_VERSION\")===2);Tt.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Tt.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Tt.registerFlag(\"WEBGL_PACK\",()=>Tt.getBool(\"HAS_WEBGL\"));Tt.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_CLIP\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>VT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>GT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Tt.getNumber(\"WEBGL_VERSION\");return r===0?0:WT(r)});Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Tt.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!Xl.isMobile());Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>UT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Tt.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Tt.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Tt.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>HT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>qT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Tt.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Tt.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Tt.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>Xl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Tt.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Tt.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Tt.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Tt.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Tt.getBool(\"IS_TEST\"));Tt.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Tt.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Tt.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);Tt.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);function We(){let r,t,e,n,o,s,i,a,u,l;return M().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",t=\"in\",e=\"out\",n=\"in\",o=\"texture\",s=\"outputColor\",i=\"out vec4 outputColor;\",a=M().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",u=\"\",l=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",t=\"attribute\",e=\"varying\",n=\"varying\",o=\"texture2D\",s=\"gl_FragColor\",i=\"\",a=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,u=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,l=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function ei(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join(\"\")}function Bc(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join(\"\")}function Stt(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function rL(r,t,e=\"index\"){let n=r.map((s,i)=>i),o=Stt(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join(\"\")}function xd(r){let t=y.computeStrides(r).map(e=>e.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;\n }\n`}function yd(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var Nw=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:nL}=S;function oL(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:\"\"};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=Tw(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push(\"uniform int outShape;\");break;case 2:n.push(\"uniform ivec2 outShape;\"),n.push(\"uniform int outShapeStrides;\");break;case 3:n.push(\"uniform ivec3 outShape;\"),n.push(\"uniform ivec2 outShapeStrides;\");break;case 4:n.push(\"uniform ivec4 outShape;\"),n.push(\"uniform ivec3 outShapeStrides;\");break;default:break}n.push(\"uniform ivec2 outTexShape;\")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:\"\"};`)});let o=n.join(`\n`),s=r.map(f=>Ntt(f,t,e.packedInputs,e.enableShapeUniforms)).join(`\n`),i=t.texShape,a=We(),u=Ett(a),l,c,p=$tt(a);return t.isPacked?(l=Ttt(t.logicalShape,i,e.enableShapeUniforms),c=Att(a)):(l=ktt(t.logicalShape,i,e.enableShapeUniforms),c=_tt(a)),e.packedInputs&&(p+=Ott),[p,u,c,o,l,s,e.userCode].join(`\n`)}function wd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Ktt(r,t);case 1:return Xtt(r,t);case 2:return Ztt(r,t);case 3:return Qtt(r,t);case 4:return eet(r,t);case 5:return ret(r);case 6:return net(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function sL(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return qtt(r);case 1:return jtt(r,t);case 2:return Ytt(r,t);case 3:return Jtt(r,t);default:return tet(r,t)}}function Ntt(r,t,e=!1,n){let o=\"\";e?o+=sL(r,n):o+=wd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=oet(r,t):o+=set(r,t)),o}function Ttt(r,t,e){switch(r.length){case 0:return iL();case 1:return Ptt(r,t,e);case 2:return Utt(r,t,e);case 3:return Mtt(r,t,e);default:return Btt(r,t,e)}}function ktt(r,t,e){switch(r.length){case 0:return iL();case 1:return Ltt(r,t,e);case 2:return Htt(r,t,e);case 3:return ztt(r,t,e);case 4:return Vtt(r,t,e);case 5:return Gtt(r,t);case 6:return Wtt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function Ett(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function _tt(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function Att(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function $tt(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${Dtt}\n ${Rtt}\n ${Ftt}\n `}var Dtt=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Rtt=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ftt=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ott=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function iL(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function Ptt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:n[1]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}function Ltt(r,t,e){return t[0]===1?e?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${t[1]}.0);\n }\n `:t[1]===1?e?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${t[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n return resTexRC.x * ${t[1]} + resTexRC.y;\n }\n `}function Mtt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${o});\n int c = imod(index, ${o}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function ztt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${Bc([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let n=ei([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = resTexRC.x * ${t[1]} + resTexRC.y;\n ${n}\n return ivec3(r, c, d);\n }\n `}function Btt(r,t,e){if(e)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a=\"\",u=\"b, r, c\";for(let l=2;l=1?c=\"coords = 0;\":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(`\n`);let m=\"\";i<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${p[w+l]}`).join(\", \");let f=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)i===1?f=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:f=`\n return vec4(outputValue.x);\n `;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f=\"return vec4(outputValue.x);\":a.indexOf(b)>-1?f=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":a.indexOf(w)>-1&&(f=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${o}() {\n ${u} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${n}(${m});\n ${f}\n }\n `}function set(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o=\"get\"+n+\"AtOutCoords\",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return`\n float ${o}() {\n return sampleTexture(${e}, resultUV);\n }\n `;let l=Vt(u),c=nL(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];a===0?m=\"\":u<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(`\n`);let d=\"\";return u<2&&a>0?d=\"coords\":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(\", \"),`\n float ${o}() {\n ${l} coords = getOutputCoords();\n ${m}\n return get${n}(${d});\n }\n `}function Vt(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Tw(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(\", \")}function lL(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=oL(o,i,t),u=_T(r.gl,a),l=r.createProgram(u);return M().get(\"ENGINE_COMPILE_ONLY\")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},KT(r,t,l))}function KT(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,\"NAN\",!1),M().getNumber(\"WEBGL_VERSION\")===1&&(c=r.getUniformLocation(e,\"INFINITY\",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function aL(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function uL(r,t,e,n,o){t.program.enableShapeUniforms||(aL(t.inShapeInfos,e),aL([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),M().getNumber(\"WEBGL_VERSION\")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=Tw(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type===\"float\")r.gl.uniform1fv(c,p);else if(u.type===\"vec2\")r.gl.uniform2fv(c,p);else if(u.type===\"vec3\")r.gl.uniform3fv(c,p);else if(u.type===\"vec4\")r.gl.uniform4fv(c,p);else if(u.type===\"int\")r.gl.uniform1iv(c,p);else if(u.type===\"ivec2\")r.gl.uniform2iv(c,p);else if(u.type===\"ivec3\")r.gl.uniform3iv(c,p);else if(u.type===\"ivec4\")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function cL(r,t,e){let n=\"\";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=Tw(r.packedInputs,i.shape,u),m=\"\",f=\"\",d=\"\";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=S.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?\"\":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?\"uniform\":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+=\"_\"+n+\"_\"+o+`${M().getNumber(\"WEBGL_VERSION\")}`,s}function Ce(r){return M().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var kw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Iu.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Bc([\"r\",\"c\",\"d\"],t):ei([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${e.output} = result;\n }\n `}};var Ew=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Iu.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Bc([\"r\",\"c\",\"d\"],t):ei([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${e.output} = result;\n }\n `}};var _w=class{constructor(t){this.variableNames=[\"A\"],this.outTexUsage=Yr.DOWNLOAD;let e=We();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n float x = getAAtOutCoords();\n ${e.output} = encode_float(x);\n }\n `}};var Aw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Yr.DOWNLOAD;let e=We();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${e.output} = encode_float(x);\n }\n `}};var uet={R:0,G:1,B:2,A:3},tg=class{constructor(t,e=!1,n=\"RGBA\"){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let o=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let s=\"result\";e&&(s=\"floor(result * 255. + 0.5)\");let i=\"\";for(let a=0;ark,createBufferFromOutputTexture:()=>sk,createFloat16MatrixTexture:()=>JT,createFloat16PackedMatrixTexture:()=>ek,createFloat32MatrixTexture:()=>ZT,createIndexBuffer:()=>YT,createPackedMatrixTexture:()=>tk,createUnsignedBytesMatrixTexture:()=>QT,createVertexBuffer:()=>XT,createVertexShader:()=>jT,downloadByteEncodedFloatMatrixFromOutputTexture:()=>ak,downloadFloat32MatrixFromBuffer:()=>ik,downloadMatrixFromPackedOutputTexture:()=>uk,downloadPackedMatrixFromBuffer:()=>lk,getInternalFormatForFloat16MatrixTexture:()=>Rw,getInternalFormatForFloat16PackedMatrixTexture:()=>Pw,getInternalFormatForFloat32MatrixTexture:()=>Dw,getInternalFormatForPackedMatrixTexture:()=>Ow,getInternalFormatForUnsignedBytesMatrixTexture:()=>Fw,uploadDenseMatrixToTexture:()=>nk,uploadPixelDataToTexture:()=>ok});function jT(r){let t=We(),e=`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return ET(r,e)}function XT(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return DT(r,t)}function YT(r){let t=new Uint16Array([0,1,2,2,1,3]);return RT(r,t)}function eg(r,t,e,n,o,s){OT(t,e);let i=FT(r),a=r.TEXTURE_2D;return ht(r,()=>r.bindTexture(a,i)),ht(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),ht(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),ht(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),ht(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),M().getNumber(\"WEBGL_VERSION\")===1?ht(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):ht(r,()=>r.texStorage2D(a,1,n,t,e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Dw(r){return r.internalFormatFloat}function ZT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Dw(n),n.textureFormatFloat,r.FLOAT)}function Rw(r){return r.internalFormatHalfFloat}function JT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Rw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Fw(r){return r.downloadTextureFormat}function QT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Fw(n),r.RGBA,r.UNSIGNED_BYTE)}function Ow(r){return r.internalFormatPackedFloat}function tk(r,t,e,n){let[o,s]=Ji(t,e);return eg(r,o,s,Ow(n),r.RGBA,r.FLOAT)}function Pw(r){return r.internalFormatPackedHalfFloat}function ek(r,t,e,n){let[o,s]=Ji(t,e);return eg(r,o,s,Pw(n),r.RGBA,n.textureTypeHalfFloat)}function rk(r,t,e){return ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Iw(r,t,\"clipSpacePos\",e,3,20,0)&&Iw(r,t,\"uv\",e,2,20,12)}function nk(r,t,e,n,o,s){ht(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function ok(r,t,e){ht(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function sk(r,t,e,n){let o=r.createBuffer();ht(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return ht(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),ht(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),ht(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function ik(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function ak(r,t,e,n){let[o,s]=zc(t,e),i=4,a=new Uint8Array(YP(t*e,i));return ht(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function lk(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(ZP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function uk(r,t,e){let n=new Float32Array(t*e*4);return ht(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Gc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let e=M().getNumber(\"WEBGL_VERSION\");if(t!=null?(this.gl=t,ST(e,t)):this.gl=Wn(e),t=this.gl,M().getNumber(\"WEBGL_VERSION\")===2){let s=t;this.createVertexArray=()=>ht(s,()=>s.createVertexArray()),this.bindVertexArray=i=>ht(s,()=>s.bindVertexArray(i)),this.deleteVertexArray=i=>ht(s,()=>s.deleteVertexArray(i)),this.getVertexArray=()=>ht(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(t!=null){let s=t.getExtension(\"OES_vertex_array_object\");if(s==null)throw new Error(\"All WebGL1 implementations are expected to offer OES_vertex_array_object.\");this.createVertexArray=()=>ht(t,()=>s.createVertexArrayOES()),this.bindVertexArray=i=>ht(t,()=>s.bindVertexArrayOES(i)),this.deleteVertexArray=i=>ht(t,()=>s.deleteVertexArrayOES(i)),this.getVertexArray=()=>ht(t,()=>t.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let n=\"WEBGL_color_buffer_float\",o=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),M().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",i=\"OES_texture_half_float\";if(this.textureFloatExtension=fd(this.gl,s),Un(this.gl,i))this.textureHalfFloatExtension=fd(this.gl,i);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Un(this.gl,o))this.colorBufferHalfFloatExtension=fd(this.gl,o);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(n=\"EXT_color_buffer_float\",Un(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Un(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=XT(this.gl),this.indexBuffer=YT(this.gl),this.framebuffer=PT(this.gl),this.textureConfig=Zh(this.gl,this.textureHalfFloatExtension)}get debug(){return M().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let t=this.gl;ht(t,()=>t.finish()),ht(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),ht(t,()=>t.deleteFramebuffer(this.framebuffer)),ht(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),ht(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),ht(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),ZT(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),JT(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),QT(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),ok(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),nk(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),ek(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),tk(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(vw(this.gl,this.framebuffer),this.outputTexture=null),ht(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>ak(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return lk(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return ik(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=sk(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(M().getBool(\"WEBGL_FENCE_API_ENABLED\")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>uk(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=jT(e));let n=AT(e);ht(e,()=>e.attachShader(n,this.vertexShader)),ht(e,()=>e.attachShader(n,t)),$T(e,n);let o;return o=Object.assign(n,{vao:this.createVertexArray()}),this.bindVertexArray(o.vao),ht(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),console.assert(rk(e,o,this.vertexBuffer),\"gpgpu_util.bindVertexProgramAttributeStreams not fully successful.\"),this.debug&&Jh(e,o),this.setProgram(o),o}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&(ht(this.gl,()=>this.gl.deleteProgram(t)),this.deleteVertexArray(t.vao))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&(this.bindVertexArray(this.program.vao),this.debug&&Jh(this.gl,this.program)),ht(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?LT(this.gl,t,e):MT(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),ht(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),zT(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Ji(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&Jh(this.gl,this.program),dd(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;if(this.debug){let e=this.getVertexArray();console.assert(e===this.program.vao,\"VAO changed between setProgram and executeProgram!\"),this.debugValidate()}ht(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ht(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=fd(this.gl,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=cet(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;\"setTimeoutCustom\"in M().platform&&(n=M().platform.setTimeoutCustom.bind(M().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),Qh(this.gl,t,this.framebuffer),this.debug&&dd(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Qh(this.gl,this.outputTexture,this.framebuffer),this.debug&&dd(this.gl)):vw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;Qh(o,t,this.framebuffer),this.debug&&dd(o),this.outputTexture=t,ht(o,()=>o.viewport(0,0,e,n)),ht(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),ht(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function cet(r){let t=0;for(;t`${r}.${e}`)}function er(r,t){return t===1?[r]:pk(r,t)}function tM(r,t){if(r===1)return\"rc\";let e=\"\";for(let n=0;n ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let e=\"\";for(let n=this.rank-2;n= ${this.enableShapeUniforms?`outShape[${n}]`:this.outputShape[n]}`,n= ${n};\n bool rEdge = rp1 >= ${o};\n `}getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}),\n cEdge ? 0. : getA(${e[1]}),\n rEdge ? 0. : getA(${e[2]}),\n rEdge || cEdge ? 0. : getA(${e[3]})`}};var Sd=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let n=\"\";for(let o=0;o<4;o++){let s=\"thisRC = rc;\";o%2===1&&(s+=\"thisRC.z += 1;\"),o>1&&(s+=\"thisRC.y += 1;\"),n+=`\n ${s}\n ${o>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${o}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${o>0?\"}\":\"\"}\n `}this.userCode=`\n ${pet(e,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?yd():xd(t)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":t[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":t[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}};function pet(r,t){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${t?rL([\"r\",\"c\",\"d\"],\"inputShape\"):ei([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var Vw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=rM(e,n),s=nM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=eM(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Lr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Lr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Lr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Lr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Lr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=rM(n,o),i=nM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=eM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=M().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function met(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function eM(r,t,e,n,o){let s=fet(t,n),i;if(o){let[u,l]=Ji(r[0],r[1]);i=u*l}else{let[u,l]=zc(r[0],r[1]);i=u*l}let a=met(e,s);return i*a}function fet(r,t){switch(r){case Lr.PACKED_2X2_FLOAT32:return Ow(t);case Lr.PACKED_2X2_FLOAT16:return Pw(t);case Lr.UNPACKED_FLOAT32:return Dw(t);case Lr.UNPACKED_FLOAT16:return Rw(t);case Lr.PACKED_4X1_UNSIGNED_BYTE:return Fw(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function det(r){return M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?Lr.PACKED_2X2_FLOAT32:Lr.UNPACKED_FLOAT32:r?Lr.PACKED_2X2_FLOAT16:Lr.UNPACKED_FLOAT16}function rM(r,t){if(r===Yr.UPLOAD)return Lr.PACKED_2X2_FLOAT32;if(r===Yr.RENDER||r==null)return det(t);if(r===Yr.DOWNLOAD||r===Yr.PIXELS)return Lr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function nM(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var Mr=class{constructor(t,e){this.variableNames=[\"A\"],this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${e}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},xr=\"if (isnan(x)) return x;\",oM=\"return x;\",mk=\"return abs(x);\";var sM=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",iM=xr+`\n return (x < 0.0) ? 0.0 : x;\n`,aM=xr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Qi=\"return x;\",lM=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var cM=\"return x;\",pM=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,mM=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,fM=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,dM=\"return 1.0 / (1.0 + exp(-1.0 * x));\",_n=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${e}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var Gw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let e=t.length,n=er(\"rc\",e),o=Vt(e),s=tM(e,n),i=n.slice(-2),a=e<=1?\"rc\":`vec2(${i.join(\",\")})`;this.userCode=`\n void main() {\n ${o} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${a}));\n }\n `}};var get=qr.whereImpl,xet=1e-7,yet=1e-4,Ww={};function bet(r){return r in Ww||(Ww[r]={}),Ww[r]}var wet=M().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),Cet=600;function Iet(){return M().global.screen==null?1024:M().global.screen.height*M().global.screen.width*window.devicePixelRatio*Cet/1024/1024}var Su=class extends zo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!M().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let e;if(t!=null){if(t instanceof Gc)e=t;else{let n=Wn(M().getNumber(\"WEBGL_VERSION\"),t);e=new Gc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Wn(M().getNumber(\"WEBGL_VERSION\"));e=new Gc(n),this.binaryCache=bet(M().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Vw(this.gpgpu),this.numMBBeforeWarning=Iet(),this.texData=new ia(this,Ln())}nextDataId(){return Su.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,e,n,o,s,i){let a=this.makeTensorInfo(e,n),u=this.texData.get(a.dataId);u.isPacked=!1,u.texture={texture:t,texShape:[o,s]},u.texShape=[o,s];let l=hd(e),c=new tg(l,!1,i),p=this.runWebGLProgram(c,[a],n,[[o,s]]);return p.shape=e,u.texture=null,this.disposeIntermediateTensorInfo(a),p.dataId}write(t,e,n){if((M().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||M().getBool(\"DEBUG\"))&&this.checkNumericalProblems(t),n===\"complex64\"&&t!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Yr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(M().getBool(\"DEBUG\")&&this.checkNumericalProblems(e),o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Yr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new _n(a,Qi):m=new Mr(a,Qi);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o===\"string\")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o===\"complex64\"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new _n(o,Qi):d=new Mr(o,Qi);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(M().getBool(\"DEBUG\")&&!M().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&M().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let l=null,c;if(i!==\"complex64\"&&M().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...Yh(o))}this.pendingRead.set(t,[]),i!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let p;if(i===\"complex64\"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;ht(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Ln().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(i!=null){let f;u?f=new _n(s,Qi):f=new Mr(s,Qi);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(t,e.customTexShape),p=Ln().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return bt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return bt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(\", \")}else a.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=wet){return M().getBool(\"WEBGL_CPU_FORWARD\")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return Ln().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Gw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Bw(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[wl(t.shape),...Cl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[wl(e),...Cl(e)],i=new Sd(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let a=hd(s),u;o?u=new Ew(a):u=new kw(a);let l=!0,c=[e!=null?e:Yh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Iu.DENSE){let x=i!=null?i:Yh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=M().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!vu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=cL(t,c,p),f=this.getAndSaveBinary(m,()=>lL(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),M().get(\"ENGINE_COMPILE_ONLY\")||uL(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=M().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!M().getBool(\"WEBGL_LAZILY_UNPACK\")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(M().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!M().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let t=M().getBool(\"DEBUG\");M().set(\"DEBUG\",!1);let e=this.abs(pt(1e-8)).dataSync()[0];if(M().set(\"DEBUG\",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?xet:yet}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=BT(n,u),e.texShape=p),s!=null){let m=hd(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Ji(p[0],p[1])),u?f=new $w(m,g):f=new tg(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=Yr.PIXELS:w.usage=Yr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,M().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return e!=null&&(n.values=vet(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await yh(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Cw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=KT(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}createTensorFromGPUData(t,e,n){t.channels=t.channels||\"RGBA\";let{texture:o,height:s,width:i,channels:a}=t,u=Ln().backend;if(!u.gpgpu.gl.isTexture(o))throw new Error(\"The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.\");let l=u.writeTexture(o,e,n,s,i,a);return Ln().makeTensorFromDataId(l,e,n,u)}};Su.nextDataId=0;function vet(r,t){if(t===\"float32\"||t===\"complex64\")return r;if(t===\"int32\"||t===\"bool\"){let e=t===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew Su,2);var g1e={forceHalfFloat:gM};var Nd=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var ao=class{constructor(t,e,n){this.variableNames=[\"A\",\"B\"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${t}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var ta=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var Oo=class{constructor(t,e,n,o=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=Ce(s);let i=\"\";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(i=`\n ${Vt(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?i+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:i+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let u=er(\"coords\",s);this.enableShapeUniforms?i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${t}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${i}\n\n setOutput(result);\n }\n `}};function rr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var xM={kernelName:po,backendName:\"webgl\",kernelFunc:rr};function An(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,\"complex64\"),i=e.texData.get(s.dataId),a=rr({inputs:{x:n},backend:e}),u=rr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var yM={kernelName:mp,backendName:\"webgl\",kernelFunc:An};var fk=\"return (a < 0.) ? b * a : a;\",dk=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Net(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),a=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(dk,o.shape,i.shape):new ao(fk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],\"float32\");return e.disposeIntermediateTensorInfo(i),u}var bM={kernelName:is,backendName:\"webgl\",kernelFunc:Net};var hk=\"return (a < 0.) ? b * a : a;\",gk=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Tet(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(gk,n.shape,o.shape):new ao(hk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],\"float32\")}var wM={kernelName:bs,backendName:\"webgl\",kernelFunc:Tet};var Po=\"if (isnan(x)) return x;\";function wt({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&t!=null,c;return l?c=new _n(i.shape,t):c=new Mr(i.shape,r),a.runWebGLProgram(c,[i],u)}}function ae({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype===\"complex64\"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new ao(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],lr(C.dtype,N.dtype))}),b=An({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||lr(u.dtype,l.dtype);if((u.dtype===\"string\"||l.dtype===\"string\"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype===\"string\"?S.fromUint8ToStringArray(d):d,x=u.dtype===\"string\"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&t!=null,f;return m?f=new Oo(t,u.shape,l.shape,e):f=new ao(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function Il(r,t=!1){if(r===\"linear\")return t?cM:oM;if(r===\"relu\")return t?mM:iM;if(r===\"elu\")return t?pM:sM;if(r===\"relu6\")return t?fM:aM;if(r===\"prelu\")return t?gk:hk;if(r===\"leakyrelu\")return t?dk:fk;if(r===\"sigmoid\")return t?dM:lM;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Td=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Ce(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?\"i * 2, rc.y\":\"rc.y, i * 2\",f=s?\"rc.z, i * 2\":\"i * 2, rc.z\",d=o?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";a&&(u?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${a}\n }`:l?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${a}\n }`:g=`vec4 activation(vec4 x) {\n ${a}\n }`,x=\"result = activation(result);\");let b=i?\"result += getBiasAtOutCoords();\":\"\";i&&this.variableNames.push(\"bias\"),u&&this.variableNames.push(\"preluActivationWeights\"),l&&this.variableNames.push(\"leakyreluAlpha\");let w=\"rc.x\",C=\"rc.x\";t[0]`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!vu(o.shape,u)&&!(c.texture!==null&&vu(c.shape,u))?vM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var SM={kernelName:gi,backendName:\"webgl\",kernelFunc:it};var og=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l=\"sumValue += dot(values, ones);\";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c=\"\";s%n>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${a}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${a};\n if (${u===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${u===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${u===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}};var Uw=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=\"0.0\",u=\"\";e===\"prod\"?a=\"1.0\":e===\"min\"?(a=\"1.0 / 1e-20\",u=\"min\"):e===\"max\"&&(a=\"-1.0 / 1e-20\",u=\"max\");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"sum\"?l=\"sumValue\":e===\"prod\"?l=\"prodValue\":e===\"all\"?l=\"allValue\":e===\"any\"&&(l=\"anyValue\");let c=Math.floor(n/4)*4,p=n%4,m=`\n if (${e===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${e===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${u}(values, minMaxValue);\n if (${e===\"min\"} || ${e===\"max\"}) {\n minMaxValue = ${u}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,f=\"vec4\";e===\"all\"?(a=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,f=\"bvec4\"):e===\"any\"&&(a=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,f=\"bvec4\");let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${a};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${a});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===2}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===3}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function Eet(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Hn(r,t,e,n){let o=Eet(r.shape),s=r;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=Vt(this.rank),s=pk(\"rc\",this.rank),i=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=it({inputs:{x:r},backend:o,attrs:{shape:N}}),$=it({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u===\"leakyrelu\",H=u!=null?Il(u,!0):null,K=G||W||q||H!=null,X;if((f===1||d===1)&&V>yk&&K===!1){let et=A,rt=$;e&&(et=Pe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Pe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=it({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let st=d===1?2:1,ft=rt;at&&(ft=it({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(ft));let gt=ng({inputs:{a:nt,b:ft},backend:o});X=Uc({inputs:{x:gt},backend:o,attrs:{axis:st,keepDims:!0}}),F.push(gt)}else{let et=lr(r.dtype,t.dtype),rt=new Td(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));ot.push(at),F.push(at)}X=o.runWebGLProgram(rt,ot,et)}let Z=it({inputs:{x:X},backend:o,attrs:{shape:C}});F.push(X);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Hc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var EM={kernelName:vi,backendName:\"webgl\",kernelFunc:Aet};var _M=\"return abs(x);\";function $et(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!==\"complex64\"){let s=e.texData.get(n.dataId),i=Mw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new _n(n.shape,_M):o=new Mr(n.shape,_M),e.runWebGLProgram(o,[n],n.dtype)}var AM={kernelName:li,backendName:\"webgl\",kernelFunc:$et};var Det=xr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,Ret=wt({opSnippet:Det}),$M={kernelName:la,backendName:\"webgl\",kernelFunc:Ret};var Fet=xr+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,Oet=wt({opSnippet:Fet}),DM={kernelName:ua,backendName:\"webgl\",kernelFunc:Oet};var RM=\"return a + b;\",Pet=ae({opSnippet:RM,packedOpSnippet:RM,supportsComplex:!0,cpuKernelImpl:pL}),FM={kernelName:Jn,backendName:\"webgl\",kernelFunc:Pet};var Kw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n float result = ${o};\n setOutput(result);\n }\n `}};var jw=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n vec4 result = ${o};\n setOutput(result);\n }\n `}};function Xw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return rr({inputs:{x:n[0]},backend:e});if(n.length>M().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let u=Math.floor(n.length/2),l=Xw({inputs:n.slice(0,u),backend:e}),c=Xw({inputs:n.slice(u),backend:e});return Xw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>lr(u,l)),s=n.map(u=>u.shape),a=M().getBool(\"WEBGL_PACK\")?new jw(n[0].shape,s):new Kw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var OM={kernelName:Vo,backendName:\"webgl\",kernelFunc:Xw};function Let(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"all\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=it({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Hn(h,h.dtype,\"all\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=it({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=it({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var PM={kernelName:ca,backendName:\"webgl\",kernelFunc:Let};function Met(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"any\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=it({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Hn(h,h.dtype,\"any\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=it({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=it({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var LM={kernelName:pa,backendName:\"webgl\",kernelFunc:Met};var Yw=class{constructor(t,e,n){this.variableNames=[\"A\"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,i];let a=e===\"max\"?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${o}; i++) {\n int inIdx = ${u};\n float candidate = getA(batch, inIdx);\n if (candidate ${a} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var Zw=class{constructor(t,e,n,o){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push(\"bestIndicesA\");let a=this.outputShape,u=a.length,l=Vt(u),c=er(\"coords\",u),p,m;if(i===1){m=u+1;let $=Vt(m);p=`\n ${$} sourceLocR = ${$}(${c.join()}, 0);\n ++${c[u-1]};\n ${$} sourceLocG = ${$}(${c.join()}, 0);\n ++${c[u-2]};\n ${$} sourceLocA = ${$}(${c.join()}, 0);\n --${c[u-1]};\n ${$} sourceLocB = ${$}(${c.join()}, 0);\n --${c[u-2]};`}else m=u,p=`\n ${l} sourceLocR = coords;\n ++${c[u-1]};\n ${l} sourceLocG = coords;\n ++${c[u-2]};\n ${l} sourceLocA = coords;\n --${c[u-1]};\n ${l} sourceLocB = coords;\n --${c[u-2]};`;let f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),d=\".\"+f[m-1],h=f.map($=>\"int \"+$),g=er(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=er(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=er(\"sourceLocB\",m-1).concat(\"inIdx.b\"),w=er(\"sourceLocA\",m-1).concat(\"inIdx.a\"),C=n===\"max\"?\"greaterThan\":\"lessThan\",N=o?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${w.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,A=o?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${A}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${c[u-1]} < ${a[u-1]-1};\n bool hasNextRow = ${c[u-2]} < ${a[u-2]-1};\n ${p}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${e};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${e}; i++) {\n inIdx = srcIdx;\n ${N}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${C}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function MM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Yw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,\"int32\");if(c.shape[1]===1)return c;let p=MM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function zM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new Zw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,\"int32\");if(l.shape.length===t.shape.length){let c=zM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Jw(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims(\"arg\"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!M().getBool(\"WEBGL_PACK_REDUCE\")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=S.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=it({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=MM(r,m,n);s.push(f);let d=it({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return zM(r,t,n)}function zet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMax\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"max\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var BM={kernelName:Go,backendName:\"webgl\",kernelFunc:zet};function Bet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMin\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"min\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var VM={kernelName:_l,backendName:\"webgl\",kernelFunc:Bet};var Vet=xr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,Get=wt({opSnippet:Vet}),GM={kernelName:ma,backendName:\"webgl\",kernelFunc:Get};var Wet=xr+\"return log(x + sqrt(x * x + 1.0));\",Uet=wt({opSnippet:Wet}),WM={kernelName:fa,backendName:\"webgl\",kernelFunc:Uet};var Het=xr+`\n return atan(x);\n`,qet=wt({opSnippet:Het}),UM={kernelName:da,backendName:\"webgl\",kernelFunc:qet};var Ket=Nd+`\n return atan(a, b);\n`,jet=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+ta+`\n return result;\n`,Xet=ae({opSnippet:Ket,packedOpSnippet:jet}),HM={kernelName:ga,backendName:\"webgl\",kernelFunc:Xet};var Yet=xr+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Zet=wt({opSnippet:Yet}),qM={kernelName:ha,backendName:\"webgl\",kernelFunc:Zet};var ri=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e===\"avg\",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),n){let $=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${$} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let w=\"max\",C=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(C=\"avgValue / max(count, 1.0)\");let N=Math.floor(i/4)*4,_=i%4,A=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${w}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${N}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${A}\n }\n\n int xC = xCCorner + ${N};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${A}\n }\n }\n setOutput(${C});\n }\n `}},Tu=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e===\"avg\",C=\"0.0\";if(w||(C=\"-1.0 / 1e-20\"),n){let P=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${P} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${d} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let N=\"max\",_=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(_=\"avgValue / max(count, 1.0)\");let A=Math.floor(i/4)*4,$=i%4,F=`\n if (${w}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${N}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${C};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${C});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${A}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${F}\n }\n\n int xC = xCCorner + ${A};\n if (${$===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${F}\n }\n }\n }\n setOutput(${_});\n }\n `}};function Jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ti(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return rr({inputs:{x:o},backend:e});let p=new ri(c,\"avg\",!1);return e.runWebGLProgram(p,[o],\"float32\")}var KM={kernelName:Wo,backendName:\"webgl\",kernelFunc:Jet};function Qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Tu(p,\"avg\",!1);return e.runWebGLProgram(m,[o],\"float32\")}var jM={kernelName:Al,backendName:\"webgl\",kernelFunc:Qet};var Qw=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${p});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${u};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${a}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},tC=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${u}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function trt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new tC(m);return e.runWebGLProgram(f,[o],i.dtype)}var XM={kernelName:up,backendName:\"webgl\",kernelFunc:trt};function ert(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;ti([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new Qw(c);return e.runWebGLProgram(p,[o],i.dtype)}var YM={kernelName:lp,backendName:\"webgl\",kernelFunc:ert};function rrt(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Hc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var ZM={kernelName:Uo,backendName:\"webgl\",kernelFunc:rrt};var eC=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"0.0\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"1.0\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${a};\n float scale = ${u};\n float inv = scale * inversesqrt(variance + float(${i}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var rC=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"vec4(0.0)\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"vec4(1.0)\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n vec4 offset = ${a};\n vec4 scale = ${u};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${i}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var nrt=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||o.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(a==null||o.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new rC(n.shape,o.shape,s.shape,c,p,u):new eC(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},JM={kernelName:ns,backendName:\"webgl\",kernelFunc:nrt};var nC=class{constructor(t){this.variableNames=[\"source\"],this.outputShape=t,this.rank=t.length;let e=Vt(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let n=ort(this.rank),o,s=t.map((i,a)=>`sourceLoc.${bk[a]} = start[${a}] + coords.${bk[a]};`);o=`\n ${e} sourceLoc;\n ${e} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${o}\n setOutput(getSource(${n}));\n }\n `}},bk=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function ort(r){if(r===1)return\"sourceLoc\";if(r<=6)return bk.slice(0,r).map(t=>\"sourceLoc.\"+t).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var oC=class{constructor(t){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let e=Vt(this.rank),n=er(\"coords\",this.rank),o=er(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=`\n result.x = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.y = ${i};\n --${o[this.rank-1]};\n }\n `,u=this.rank===1?\"\":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${t[this.rank-2]}) {\n ++${o[this.rank-2]};\n result.z = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.w = ${i};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${e}(${t.map((c,p)=>`start[${p}]`).join()});`:t.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(`\n`);this.userCode=`\n void main() {\n ${e} coords = getOutputCoords();\n ${e} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${a}\n ${u}\n setOutput(result);\n }\n `}};function srt(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=ze.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ni(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=ze.parseSliceParams(o,s,i);if(ze.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype===\"string\"){let p=e.texData.get(o.dataId),m=GL(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=ze.isSliceContinous(o.shape,a,u);if(l||!c){let p=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new oC(u):new nC(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),srt(o,a,u,e)}var QM={kernelName:yi,backendName:\"webgl\",kernelFunc:ni};var irt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((b,w)=>b*w),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=it({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Pe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=it({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ni({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},tz={kernelName:ui,backendName:\"webgl\",kernelFunc:irt};function art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Lw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var ez={kernelName:cp,backendName:\"webgl\",kernelFunc:art};function lrt(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var rz={kernelName:pp,backendName:\"webgl\",kernelFunc:lrt};var urt=\"return float(a != b);\",wk=ae({opSnippet:urt,cpuKernelImpl:RL,dtype:\"bool\"}),nz={kernelName:Oa,backendName:\"webgl\",kernelFunc:wk};function vl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return rr({inputs:{x:o.complexTensorInfos.real},backend:e})}var oz={kernelName:Fp,backendName:\"webgl\",kernelFunc:vl};var crt=\"return float(int(x));\";function sz(r,t){let e=new Mr(r.shape,crt),n=t.runWebGLProgram(e,[r],\"int32\");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function Ck(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return rr({inputs:{x:o},backend:e});let i=Te(o.shape),a=Ck({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),u=An({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype===\"complex64\"){let i=vl({inputs:{input:o},backend:e}),a=Ck({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=rr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=fL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s===\"int32\")return sz(o,e);if(s===\"bool\"){let i=e.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),u=wk({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var iz={kernelName:uo,backendName:\"webgl\",kernelFunc:Ck};var az=\"return ceil(x);\",prt=wt({opSnippet:az,packedOpSnippet:az,cpuKernelImpl:dL}),lz={kernelName:Ho,backendName:\"webgl\",kernelFunc:prt};var sC=class{constructor(t){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var iC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function mrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;M().getBool(\"WEBGL_PACK_CLIP\")?a=new iC(o.shape):a=new sC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var uz={kernelName:co,backendName:\"webgl\",kernelFunc:mrt};var aC=class{constructor(t){this.variableNames=[\"real\",\"imag\"],this.outputShape=t,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function cz(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function frt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new aC(n.shape),i=[cz(n,o.complexTensorInfos.real),cz(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var pz={kernelName:$l,backendName:\"webgl\",kernelFunc:frt};var lC=class{constructor(t){this.outputShape=[],this.outputShape=S.computeOutShape(t,1),this.variableNames=t.map((i,a)=>`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h= ${u[h-1]}) {\n return getChannel(\n getT${h}(${uC(a,l,g)}),\n vec2(${uC(c,l,g)}));\n }`}let f=u.length,d=u[u.length-1];m+=`\n return getChannel(\n getT${f}(${uC(a,l,d)}),\n vec2(${uC(c,l,d)}));`,this.userCode=`\n float getValue(${a.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${i}), 0., 0., 0.);\n\n ${i[o-1]} = ${i[o-1]} + 1;\n if (${i[o-1]} < ${n[o-1]}) {\n result.g = getValue(${i});\n }\n\n ${i[o-2]} = ${i[o-2]} + 1;\n if (${i[o-2]} < ${n[o-2]}) {\n result.a = getValue(${i});\n }\n\n ${i[o-1]} = ${i[o-1]} - 1;\n if (${i[o-2]} < ${n[o-2]} &&\n ${i[o-1]} < ${n[o-1]}) {\n result.b = getValue(${i});\n }\n setOutput(result);\n }\n `}};function uC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function qc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return rr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var mz={kernelName:Sp,backendName:\"webgl\",kernelFunc:qc};function kd(r,t,e){let n=r[0].dtype;if(n===\"complex64\"){let f=r.map(b=>vl({inputs:{input:b},backend:e})),d=r.map(b=>qc({inputs:{input:b},backend:e})),h=kd(f,t,e),g=kd(d,t,e),x=An({inputs:{real:h,imag:g},backend:e});return f.forEach(b=>e.disposeIntermediateTensorInfo(b)),d.forEach(b=>e.disposeIntermediateTensorInfo(b)),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),x}let o=e.shouldExecuteOnCPU(r);if(n===\"string\"&&(o=!0),o){let f=r.map(C=>{let _=[-1,y.sizeFromShape(C.shape.slice(t))];return it({inputs:{x:C},backend:e,attrs:{shape:_}})}),d=f.map(C=>({vals:e.readSync(C.dataId),shape:C.shape})),h=S.computeOutShape(f.map(C=>C.shape),1),g=f[0].shape[0]===1,x=hL(d,h,n,g),b=S.computeOutShape(r.map(C=>C.shape),t),w=e.makeTensorInfo(b,n,x);return f.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}let s=r.filter(f=>y.sizeFromShape(f.shape)>0),i=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")&&s[0].shape.length>1;if(s.length===1){let f=i?new Mr(r[0].shape,Qi):new _n(r[0].shape,Qi);return e.runWebGLProgram(f,r,n)}let a=M().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(s.length>a){let f=[];for(let h=0;hd.shape),t);return e.runWebGLProgram(f,s,n)}let{tensors2D:u,outShape:l}=drt(s,t,e),c=new lC(u.map(f=>f.shape)),p=e.runWebGLProgram(c,u,n);u.forEach(f=>e.disposeIntermediateTensorInfo(f));let m=it({inputs:{x:p},attrs:{shape:l},backend:e});return e.disposeIntermediateTensorInfo(p),m}function drt(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>it({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function Ik(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?rr({inputs:{x:u[0]},backend:e}):kd(u,s,e)}var fz={kernelName:ci,backendName:\"webgl\",kernelFunc:Ik};var Ed=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,w=g?3:1,C=\"\",N=\"\";n&&(o?C=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?C=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:C=`\n float activation(float x) {\n ${n}\n }\n `,N=\"result = activation(result);\");let _=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${C}\n\n const ivec2 strides = ivec2(${u}, ${l});\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${w}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${p};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${N}\n setOutput(result);\n }\n `}},pC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${i}, ${a});\n const ivec3 pads = ivec3(${e}, ${n}, ${o});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${p}; wF++) {\n int xF = xFCorner + wF * ${u};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var _d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(p+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*u};\n `,a===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,u===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,u>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${a}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+p}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+p}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${l}\n\n ${o.output} = result;\n }\n `}};function fC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function dC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat===\"channelsLast\",d=!1,h=!1,g,x=[];if(s!=null){let C=fC(s.shape,f);C!=null&&(s=it({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=fC(o.shape,f);C!=null&&(o=it({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>yk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(vu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=it({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Hc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>\"batchMatMul result is expected to be packed\"),l.shape=_,F.shape=e.outShape,g=rr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=it({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=it({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Hc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=it({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function hC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f===\"channelsLast\",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=fC(s.shape,d);Z!=null&&(s=it({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=fC(o.shape,d);Z!=null&&(o=it({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=it({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new mC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],\"float32\",A),F=it({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a===\"leakyrelu\",W=a?Il(a,!0):null,q=new Td(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));H.push(Z),C.push(Z)}let K=n.runWebGLProgram(q,H,\"float32\"),X=it({inputs:{x:K},backend:n,attrs:{shape:e.outShape}});C.push(K);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return X}function hrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))f=dC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let h=new _d(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],\"float32\",g)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))f=hC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Ed(m);f=e.runWebGLProgram(h,[o,s],\"float32\")}let d=it({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var dz={kernelName:qo,backendName:\"webgl\",kernelFunc:hrt};var gC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n if (${i}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},xC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat===\"channelsLast\",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${p}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n\n if (${i}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},yC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yF = 0; yF < ${t.outDepth}; yF++) {\n int xF = wF + yF * ${e} - ${s};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${i};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${a};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},bC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${u}, ${l}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${e}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${e} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function grt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new gC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var hz={kernelName:fp,backendName:\"webgl\",kernelFunc:grt};function xrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new xC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var gz={kernelName:Ko,backendName:\"webgl\",kernelFunc:xrt};function yrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new pC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var xz={kernelName:Dl,backendName:\"webgl\",kernelFunc:yrt};function brt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new yC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var yz={kernelName:dp,backendName:\"webgl\",kernelFunc:brt};function wrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new bC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var bz={kernelName:hp,backendName:\"webgl\",kernelFunc:wrt};var Crt=Po+`\n return cos(x);\n`,Irt=wt({opSnippet:Crt}),wz={kernelName:jo,backendName:\"webgl\",kernelFunc:Irt};var vrt=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,Srt=wt({opSnippet:vrt}),Cz={kernelName:Xo,backendName:\"webgl\",kernelFunc:Srt};var wC=class{constructor(t,e,n,o,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o===\"bilinear\"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,\"(y2-y1) * height_ratio\",`y1*${d} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${w});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${i}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${C};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${N};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var Nrt=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new wC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],\"float32\")},Iz={kernelName:ya,backendName:\"webgl\",kernelFunc:Nrt};var Kc;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Kc||(Kc={}));var sg=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,i=this.op===Kc.Prod?\"1.0\":\"0.0\",a=n?i:`getX(${vz(s,\"coords\",this.op)})`,u=this.outputShape[this.outputShape.length-1],l=\"\",c=\"\";n?(l=o?`end != ${u-1}`:\"end != 0\",c=o?\"end + 1\":\"end - 1\"):(l=o?`end + pow2 < ${u}`:\"end >= pow2\",c=o?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${Vt(s)} coords = getOutputCoords();\n int end = ${Sz(s,\"coords\",this.op)};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${l}) {\n int idx = ${c};\n ${Sz(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${vz(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function vz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function Sz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function CC(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Pe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=rr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new sg(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new sg(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Pe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function Trt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(Kc.Prod,o,e,s,i,a)}var Nz={kernelName:xa,backendName:\"webgl\",kernelFunc:Trt};function krt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(Kc.Sum,o,e,s,i,a)}var Tz={kernelName:Yo,backendName:\"webgl\",kernelFunc:krt};function Ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Lw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=mL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var kz={kernelName:gp,backendName:\"webgl\",kernelFunc:Ert};var IC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${e};\n int offset_h = imod(h, ${e});\n int in_w = w / ${e};\n int offset_w = imod(w, ${e});\n int offset_d = (offset_h * ${e} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function _rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=new IC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var Ez={kernelName:ba,backendName:\"webgl\",kernelFunc:_rt};var Ad=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l=\"\",c=\"\";n&&(o?l=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?l=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:l=`\n float activation(float x) {\n ${n}\n }\n `,c=\"result = activation(result);\");let p=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${l}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${u};\n int q = d2 - d1 * ${u};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${i}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${a}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${p}\n ${c}\n setOutput(result);\n }\n `}};var $d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(f+=`\n xC = xCCorner + ${b*l};\n `,u===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,l===1&&b>0?f+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:f+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):f+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,l>1?f+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:f+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):w===1?f+=`\n xC${b+1} = xTexelC${b};\n `:f+=`\n xCOffset = xC + ${w};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(f+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new $d(p):m=new Ad(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],\"float32\",f)}var _z={kernelName:Zo,backendName:\"webgl\",kernelFunc:Art};var vC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${i} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},SC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${u}; dm++) {\n int d2 = d1 * ${u} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function $rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new vC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var Az={kernelName:xp,backendName:\"webgl\",kernelFunc:$rt};function Drt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new SC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var $z={kernelName:yp,backendName:\"webgl\",kernelFunc:Drt};var NC=class{constructor(t){this.variableNames=[\"X\"],this.outputShape=[t,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function Rrt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=it({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new NC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=it({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var Dz={kernelName:bp,backendName:\"webgl\",kernelFunc:Rrt};var TC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${i});\n const ivec2 pads = ivec2(${p}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${a}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${e}) {\n for (int w = 0; w < ${u}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function Frt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,\"NHWC\",u),c,p=new TC(l);c=e.runWebGLProgram(p,[o,s],\"float32\");let m=it({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Rz={kernelName:Rl,backendName:\"webgl\",kernelFunc:Frt};function Ort(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Uc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Fz={kernelName:wp,backendName:\"webgl\",kernelFunc:Ort};var Prt=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",Lrt=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,Mrt=wt({opSnippet:Prt,packedOpSnippet:Lrt}),Oz={kernelName:Qo,backendName:\"webgl\",kernelFunc:Mrt};var zrt=\"return (b >= 1.0) ? a : a * (b + 1.0);\",Brt=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,Vrt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(Brt,n.shape,o.shape):new ao(zrt,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Pz={kernelName:Cp,backendName:\"webgl\",kernelFunc:Vrt};var Grt=`\n return vec4(equal(a, b));\n`,Wrt=\"return float(a == b);\",Urt=ae({opSnippet:Wrt,packedOpSnippet:Grt,dtype:\"bool\",cpuKernelImpl:gL}),Lz={kernelName:Ca,backendName:\"webgl\",kernelFunc:Urt};var Hrt=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${S.ERF_P};\n float a1 = ${S.ERF_A1};\n float a2 = ${S.ERF_A2};\n float a3 = ${S.ERF_A3};\n float a4 = ${S.ERF_A4};\n float a5 = ${S.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,qrt=wt({opSnippet:Hrt}),Mz={kernelName:wa,backendName:\"webgl\",kernelFunc:qrt};var Krt=Po+`\n return exp(x);\n`,jrt=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,vk=wt({opSnippet:Krt,packedOpSnippet:jrt,cpuKernelImpl:xL,dtype:\"float32\"}),zz={kernelName:ts,backendName:\"webgl\",kernelFunc:vk};function kC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),it({inputs:{x:s},backend:n,attrs:{shape:a}})}var Bz={kernelName:pi,backendName:\"webgl\",kernelFunc:kC};var Vz=\"return exp(x) - 1.0;\",Xrt=wt({opSnippet:Vz,packedOpSnippet:Vz,cpuKernelImpl:yL}),Gz={kernelName:Ia,backendName:\"webgl\",kernelFunc:Xrt};var ig=class{constructor(t,e,n){this.variableNames=[\"real\",\"imag\"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:\"1.0\",a;if(t===\"real\")a=\"return real * expR - imag * expI;\";else if(t===\"imag\")a=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${t}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${a}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${o});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${o}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${i};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function EC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=it({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new ig(\"real\",u,t),c=new ig(\"imag\",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,\"float32\"),f=e.runWebGLProgram(c,p,\"float32\"),d=An({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=it({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Yrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!1,e)}var Wz={kernelName:Ip,backendName:\"webgl\",kernelFunc:Yrt};var _C=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=t,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function Sl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s===\"string\"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new _C(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Uz={kernelName:Fl,backendName:\"webgl\",kernelFunc:Sl};var AC=class{constructor(t){this.variableNames=[\"Image\"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${e} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${e}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var Hz={kernelName:va,backendName:\"webgl\",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new AC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var qz=\"return floor(x);\",Zrt=wt({opSnippet:qz,packedOpSnippet:qz,cpuKernelImpl:bL}),Kz={kernelName:es,backendName:\"webgl\",kernelFunc:Zrt};var Jrt=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,Qrt=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,tnt=ae({opSnippet:Jrt,packedOpSnippet:Qrt,dtype:\"int32\"}),jz={kernelName:rs,backendName:\"webgl\",kernelFunc:tnt};var $C=class{constructor(t){this.variableNames=[\"A\"];let e=We(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);\n\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var DC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let e=We(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${o}.0, ${n}.0);\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${e.output} = result;\n }\n `}};var Xz={kernelName:Xd,backendName:\"webgl\",kernelFunc:ent},Dd,Sk=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function ent(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!=\"undefined\"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!=\"undefined\"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Dd==null||h!==Sk)&&(Sk=h,Dd=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:Sk})),Dd.canvas.width=u,Dd.canvas.height=l,Dd.drawImage(o,0,0,u,l),o=Dd.canvas}let m=e.makeTensorInfo(c,\"int32\");e.texData.get(m.dataId).usage=Yr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=M().getBool(\"WEBGL_PACK\")?new DC(p):new $C(p),d=e.runWebGLProgram(f,[m],\"int32\");return e.disposeData(m.dataId),d}function rnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f===\"leakyrelu\",_=()=>{let $=[o,s],F=(P,V)=>{if(V===\"NCHW\"&&P.shape.length===1&&P.shape[0]!==1){let G=it({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=dC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let $=f?Il(f,!0):null,F=new _d(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,\"float32\",P)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))x=hC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?Il(f,!1):null,F=new Ed(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,\"float32\")}let A=it({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var Yz={kernelName:Si,backendName:\"webgl\",kernelFunc:rnt};function nnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?Il(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m===\"leakyrelu\";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));w.push(P),d.push(P)}let A;x?A=new $d(g,C,b,N,_):A=new Ad(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,\"float32\",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Zz={kernelName:Ni,backendName:\"webgl\",kernelFunc:nnt};var RC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=[\"x\",\"indices\"],this.outputShape=n;let s=Vt(n.length),i=`\n int index;`;for(let a=0;a= ${this.paramsShape[a]};\n flattenIndex += index * ${this.strides[a]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${i}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function ont(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=y.sizeFromShape(n.shape),[u,l,c,p]=S.prepareAndValidate(n,o),m=it({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=it({inputs:{x:n},backend:e,attrs:{shape:[y.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype===\"string\"){let x=e.readSync(o.dataId),b=e.bufferSync(n),w=wL(x,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new RC(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=it({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Jz={kernelName:Sa,backendName:\"webgl\",kernelFunc:ont};var FC=class{constructor(t,e){this.variableNames=[\"A\",\"indices\"],this.outputShape=e,this.rank=e.length;let n=Vt(this.rank),o=snt(t,2);this.userCode=`\n void main() {\n ${n} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${o}));\n }\n `}};function snt(r,t){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=it({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=it({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype===\"string\"){let b=e.bufferSync(f),w=e.bufferSync(m),C=CL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new FC(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=it({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Qz={kernelName:mi,backendName:\"webgl\",kernelFunc:Nk};var int=\"return float(a > b);\",ant=`\n return vec4(greaterThan(a, b));\n`,lnt=ae({opSnippet:int,packedOpSnippet:ant,cpuKernelImpl:IL,dtype:\"bool\"}),t3={kernelName:Na,backendName:\"webgl\",kernelFunc:lnt};var unt=\"return float(a >= b);\",cnt=`\n return vec4(greaterThanEqual(a, b));\n`,pnt=ae({opSnippet:unt,packedOpSnippet:cnt,dtype:\"bool\",cpuKernelImpl:vL}),e3={kernelName:os,backendName:\"webgl\",kernelFunc:pnt};function mnt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!0,e)}var r3={kernelName:vp,backendName:\"webgl\",kernelFunc:mnt};var fnt=\"return float(!isnan(x) && !isinf(x));\",dnt=wt({opSnippet:fnt,dtype:\"bool\"}),n3={kernelName:Ta,backendName:\"webgl\",kernelFunc:dnt};var hnt=\"return float(isinf(x));\",gnt=wt({opSnippet:hnt,dtype:\"bool\"}),o3={kernelName:ka,backendName:\"webgl\",kernelFunc:gnt};var xnt=\"return float(isnan(x));\",ynt=wt({opSnippet:xnt,dtype:\"bool\"}),s3={kernelName:ss,backendName:\"webgl\",kernelFunc:ynt};var bnt=\"return float(a < b);\",wnt=`\n return vec4(lessThan(a, b));\n`,Cnt=ae({opSnippet:bnt,packedOpSnippet:wnt,cpuKernelImpl:SL,dtype:\"bool\"}),i3={kernelName:Ea,backendName:\"webgl\",kernelFunc:Cnt};var Int=\"return float(a <= b);\",vnt=`\n return vec4(lessThanEqual(a, b));\n`,Snt=ae({opSnippet:Int,packedOpSnippet:vnt,cpuKernelImpl:NL,dtype:\"bool\"}),a3={kernelName:_a,backendName:\"webgl\",kernelFunc:Snt};function Nnt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=TL(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var l3={kernelName:Np,backendName:\"webgl\",kernelFunc:Nnt};var Tnt=Po+`\n return x < 0.0 ? 0./0. : log(x);\n`,knt=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,Ent=wt({opSnippet:Tnt,packedOpSnippet:knt,cpuKernelImpl:kL}),u3={kernelName:as,backendName:\"webgl\",kernelFunc:Ent};var _nt=Po+`\n return log(1.0 + x);\n`,Ant=wt({opSnippet:_nt}),c3={kernelName:Aa,backendName:\"webgl\",kernelFunc:Ant};var $nt=\"return float(a >= 1.0 && b >= 1.0);\",Dnt=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,Rnt=ae({opSnippet:$nt,packedOpSnippet:Dnt,dtype:\"bool\"}),p3={kernelName:$a,backendName:\"webgl\",kernelFunc:Rnt};var Fnt=\"return float(!(x >= 1.0));\",Ont=wt({opSnippet:Fnt}),m3={kernelName:Da,backendName:\"webgl\",kernelFunc:Ont};var Pnt=\"return float(a >= 1.0 || b >= 1.0);\",Lnt=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,Mnt=ae({opSnippet:Pnt,packedOpSnippet:Lnt,dtype:\"bool\"}),f3={kernelName:Ra,backendName:\"webgl\",kernelFunc:Mnt};var OC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${i}; j <= ${i}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${a}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${u};\n setOutput(val);\n }\n `}};var PC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${i};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${i}; j <= ${i}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${u};\n setOutput(result);\n }\n `}};var znt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new PC(o.shape,s,i,a,u):new OC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},d3={kernelName:Ol,backendName:\"webgl\",kernelFunc:znt};var LC=class{constructor(t,e,n,o,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${e})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${e} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${o}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${o})\n * float(${s})\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var Bnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new LC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},h3={kernelName:Tp,backendName:\"webgl\",kernelFunc:Bnt};function g3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=it({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Hn(a,r.dtype,\"max\",n),l=it({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function Tk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return rr({inputs:{x:o},backend:e});let p=new ri(c,\"max\",!1);return e.runWebGLProgram(p,[o],o.dtype)}var b3={kernelName:cs,backendName:\"webgl\",kernelFunc:Unt};function Hnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Tu(p,\"max\",!1);return e.runWebGLProgram(m,[o],o.dtype)}var w3={kernelName:Pl,backendName:\"webgl\",kernelFunc:Hnt};var MC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${o}) {\n float dyR = float(dyRCorner + wR) / ${e}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${i}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${i} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},zC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${m}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${u};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${e}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${a}) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function qnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Tu(m,\"max\",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new zC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var C3={kernelName:Ep,backendName:\"webgl\",kernelFunc:qnt};function Knt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;ti([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new ri(m,\"max\",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new MC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var I3={kernelName:kp,backendName:\"webgl\",kernelFunc:Knt};function v3(r,t,e,n){let o=new ri(e,\"max\",!1),s=n.runWebGLProgram(o,[r],\"float32\");o=new ri(e,\"max\",!0,!0,t);let i=n.runWebGLProgram(o,[r],\"float32\");return[s,i]}var S3={kernelName:_p,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=v3(n,a,c,u);return[p,m]}};function N3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=it({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Hn(a,\"float32\",\"mean\",n),l=it({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var T3={kernelName:ps,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;$c[0]+t[p]+c[1]);let o=t.length,s=Vt(o),i=e.map(c=>c[0]).join(\",\"),a=e.map((c,p)=>c[0]+t[p]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o),l=n===\"reflect\"?0:1;if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${o}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n `}};var VC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=Vt(o),i=e.map(d=>d[0]).join(\",\"),a=e.map((d,h)=>d[0]+t[h]).join(\",\"),u=er(\"rc\",o),l=er(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=n===\"reflect\"?0:1,f=\"\";if(o===1){let d=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n `}else{let d=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {\n ${d}\n result[2] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[3] = getChannel(getX(${l.join()}), ${p});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${i});\n const ${s} end = ${s}(${a});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}};var Jnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new VC(n.shape,o,s):new BC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},_3={kernelName:ds,backendName:\"webgl\",kernelFunc:Jnt};var Qnt=`if (b == 0.0) return NAN;\n return mod(a, b);`,tot=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+ta+`\n return result;\n`,eot=ae({opSnippet:Qnt,packedOpSnippet:tot}),A3={kernelName:Fa,backendName:\"webgl\",kernelFunc:eot};var GC=class{constructor(t,e,n){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[t,n],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${e-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${e-1}));\n }\n `}};var rot=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,not=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,kk=ae({opSnippet:rot,packedOpSnippet:not,checkOutOfBounds:!0}),$3={kernelName:Jo,backendName:\"webgl\",kernelFunc:kk};var D3=\"return a - b;\",Ek=ae({opSnippet:D3,packedOpSnippet:D3,supportsComplex:!0,cpuKernelImpl:YL}),R3={kernelName:Os,backendName:\"webgl\",kernelFunc:Ek};function _k(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=Tk({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=it({inputs:{x:a},backend:e,attrs:{shape:u}}),c=Ek({inputs:{a:o,b:l},backend:e}),p=vk({inputs:{x:c},backend:e}),m=Uc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=it({inputs:{x:m},backend:e,attrs:{shape:u}}),d=kk({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var F3={kernelName:Rs,backendName:\"webgl\",kernelFunc:_k};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:_k({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new GC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],\"int32\",m);return a||e.disposeIntermediateTensorInfo(u),f}var O3={kernelName:Ap,backendName:\"webgl\",kernelFunc:oot};var sot=xr+`\n return -x;\n`,iot=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function aot(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=DL(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new _n(n.shape,iot):o=new Mr(n.shape,sot),e.runWebGLProgram(o,[n],n.dtype)}var P3={kernelName:fi,backendName:\"webgl\",kernelFunc:aot};var lot=qr.nonMaxSuppressionV3Impl;function uot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=lot(l,c,i,a,u);return e.makeTensorInfo([p.length],\"int32\",new Int32Array(p))}var L3={kernelName:Pa,backendName:\"webgl\",kernelFunc:uot};var cot=qr.nonMaxSuppressionV4Impl;function pot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=cot(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),e.makeTensorInfo([],\"int32\",new Int32Array([f]))]}var M3={kernelName:La,backendName:\"webgl\",kernelFunc:pot};var mot=qr.nonMaxSuppressionV5Impl;function fot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=mot(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),e.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var z3={kernelName:Ma,backendName:\"webgl\",kernelFunc:fot};var WC=class{constructor(t,e,n,o){this.variableNames=[\"indices\"],this.outputShape=[t,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${o}), float(${n}),\n float(index == coords.y)));\n }\n `}};var dot=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new WC(l,i,a,u),p=it({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=it({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},B3={kernelName:gs,backendName:\"webgl\",kernelFunc:dot};function ag(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"complex64\"){let o=vl({inputs:{input:n},backend:e}),s=ag({inputs:{x:o},backend:e}),i=qc({inputs:{input:n},backend:e}),a=ag({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Sl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype===\"string\"?\"\":0},backend:e})}var V3={kernelName:Ii,backendName:\"webgl\",kernelFunc:ag};function G3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(n.dtype===\"complex64\"){let o=vl({inputs:{input:n},backend:e}),s=G3({inputs:{x:o},backend:e}),i=qc({inputs:{input:n},backend:e}),a=ag({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Sl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var W3={kernelName:di,backendName:\"webgl\",kernelFunc:G3};function hot(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return kC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=kC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Ik({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var U3={kernelName:hi,backendName:\"webgl\",kernelFunc:hot};var UC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=Vt(o),i=e.map(l=>l[0]).join(\",\"),a=e.map((l,c)=>l[0]+t[c]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o);if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n }\n `}};var HC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=Vt(o),i=e.map(h=>h[0]).join(\",\"),a=e.map((h,g)=>h[0]+t[g]).join(\",\"),u=er(\"rc\",o),l=er(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1;\n if(${c}) {\n `,o===1?\"\":`}\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {`,o===1?\"\":` ${u[o-1]} += 1;\n if(${c}) {`],f=o===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",d=\"\";for(let h=0,g=o===1?2:4;h{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return Sl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new HC(o.shape,s,i):new UC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},H3={kernelName:xs,backendName:\"webgl\",kernelFunc:Ak};var got=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,xot=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+ta+`\n return result;\n`,yot=ae({opSnippet:got,packedOpSnippet:xot}),q3={kernelName:ys,backendName:\"webgl\",kernelFunc:yot};function bot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Pe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims(\"prod\",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=FL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=it({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Bu(o.dtype),w=Hn(x,b,\"prod\",e);f=it({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=it({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var K3={kernelName:ws,backendName:\"webgl\",kernelFunc:bot};function wot(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=OL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var j3={kernelName:$p,backendName:\"webgl\",kernelFunc:wot};function Cot(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=PL(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var X3={kernelName:Dp,backendName:\"webgl\",kernelFunc:Cot};function Iot(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=LL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var Y3={kernelName:Rp,backendName:\"webgl\",kernelFunc:Iot};var $k=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=ML(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},Z3={kernelName:Ll,backendName:\"webgl\",kernelFunc:$k};var vot=\"return 1.0 / x;\",Sot=wt({opSnippet:vot}),J3={kernelName:Cs,backendName:\"webgl\",kernelFunc:Sot};var Not=xr+`\n return (x < 0.0) ? 0.0 : x;\n`,Tot=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,kot=wt({opSnippet:Not,packedOpSnippet:Tot}),Q3={kernelName:Is,backendName:\"webgl\",kernelFunc:kot};var Eot=xr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,_ot=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Aot=wt({opSnippet:Eot,packedOpSnippet:_ot}),tB={kernelName:Ns,backendName:\"webgl\",kernelFunc:Aot};var qC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var KC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function $ot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new KC(o.shape,u,l,s,i):new qC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],\"float32\")}var eB={kernelName:Ss,backendName:\"webgl\",kernelFunc:$ot};var jC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Dot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new jC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var rB={kernelName:Pp,backendName:\"webgl\",kernelFunc:Dot};var XC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":f=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var YC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":f=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function Rot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new YC(o.shape,u,l,s,i):new XC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var nB={kernelName:vs,backendName:\"webgl\",kernelFunc:Rot};var ZC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float sourceFracRow =\n float(${u[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${u[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${o}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Fot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new ZC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var oB={kernelName:Op,backendName:\"webgl\",kernelFunc:Fot};var JC=class{constructor(t,e){this.variableNames=[\"x\"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${t[0]} - coord - 1));\n }\n `;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,s=t.map((a,u)=>o(u)).join(\",\"),i=Vt(n);this.userCode=`\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var QC=class{constructor(t,e){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=er(\"rc\",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=Vt(n);n===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${t[0]} - rc - 1),\n ${t[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${t[0]} - (rc + 1) - 1),\n ${t[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${a} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${u(o.slice())};\n if(${s}){\n result.g = ${l(o.slice())};\n }\n if(${i}) {\n result.b = ${c(o.slice())};\n if(${s}) {\n result.a = ${p(o.slice())};\n }\n }\n setOutput(result);\n }\n `;function u(d){return m(d)}function l(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",m(d)}function c(d){return d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function p(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function Oot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return rr({inputs:{x:o},backend:e});let u=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new QC(o.shape,a):new JC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var sB={kernelName:Ts,backendName:\"webgl\",kernelFunc:Oot};var tI=class{constructor(t,e){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let n=t[1],o=t[2];this.outputShape=t;let s=\"\";typeof e==\"number\"?s=`float outputValue = ${e.toFixed(2)};`:s=`\n vec3 fill = vec3(${e.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${o} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var iB={kernelName:ja,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new tI(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var Pot=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,Lot=wt({opSnippet:Pot}),aB={kernelName:ks,backendName:\"webgl\",kernelFunc:Lot};var Mot=\"return inversesqrt(x);\",zot=wt({opSnippet:Mot,cpuKernelImpl:zL}),lB={kernelName:Es,backendName:\"webgl\",kernelFunc:zot};var Rd=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=i;let u=Vt(s.length),l=Vt(i.length),c=\"\";n===1?c=\"i\":n===2&&(c=\"i, j\");let p=`getIndices(${c})`,m=\"\";o===1?m=\"i\":o===2&&(m=\"i, coords[1]\");let f=`getUpdates(${m})`,d=e>1?\"strides[j]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${t}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${e}; j++) {\n int index = round(${p});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}};function Bot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=it({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=it({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],\"float32\",new Float32Array([0])),g=new Rd(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=it({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var uB={kernelName:za,backendName:\"webgl\",kernelFunc:Bot};var eI=class{constructor(t,e,n,o){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[t,n];let s=\"while (left < right) {\",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=M().getNumber(\"WEBGL_VERSION\")===2?s:i,u=o===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${a}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${u} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function Vot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new eI(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],\"int32\",u)}var cB={kernelName:Lp,backendName:\"webgl\",kernelFunc:Vot};var rI=class{constructor(t,e,n){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=e;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s=\"resRC\",o=\"resRC\";else{let a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],u=[],l=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function Got(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new rI(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],lr(o.dtype,s.dtype))}var pB={kernelName:xi,backendName:\"webgl\",kernelFunc:Got};var Wot=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${S.SELU_SCALEALPHA};\n float scale = ${S.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,Uot=wt({opSnippet:Wot}),mB={kernelName:Ba,backendName:\"webgl\",kernelFunc:Uot};var Hot=Po+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,qot=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Kot=wt({opSnippet:Hot,packedOpSnippet:qot,cpuKernelImpl:VL}),fB={kernelName:As,backendName:\"webgl\",kernelFunc:Kot};var jot=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,Xot=wt({opSnippet:jot}),dB={kernelName:Ga,backendName:\"webgl\",kernelFunc:Xot};var Yot=Po+`\n return sin(x);\n`,Zot=wt({opSnippet:Yot}),hB={kernelName:_s,backendName:\"webgl\",kernelFunc:Zot};var Jot=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,Qot=wt({opSnippet:Jot}),gB={kernelName:Va,backendName:\"webgl\",kernelFunc:Qot};var tst=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,est=wt({opSnippet:tst}),xB={kernelName:Wa,backendName:\"webgl\",kernelFunc:est};var rst=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},yB={kernelName:bi,backendName:\"webgl\",kernelFunc:rst};function nst(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=WL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],\"bool\",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var bB={kernelName:Ml,backendName:\"webgl\",kernelFunc:nst};function ost(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=UL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var wB={kernelName:Ua,backendName:\"webgl\",kernelFunc:ost};function sst(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var CB={kernelName:zl,backendName:\"webgl\",kernelFunc:sst};function ist(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var IB={kernelName:Bl,backendName:\"webgl\",kernelFunc:ist};function ast(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype===\"string\"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=BL(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new Rd(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=it({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var vB={kernelName:Mp,backendName:\"webgl\",kernelFunc:ast};function lst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ni({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var SB={kernelName:wi,backendName:\"webgl\",kernelFunc:lst};var NB=\"return sqrt(x);\",ust=wt({opSnippet:NB,packedOpSnippet:NB,cpuKernelImpl:HL}),TB={kernelName:$s,backendName:\"webgl\",kernelFunc:ust};var cst=\"return x * x;\",pst=wt({opSnippet:cst}),kB={kernelName:Vl,backendName:\"webgl\",kernelFunc:pst};var EB=\"return (a - b) * (a - b);\",mst=ae({opSnippet:EB,packedOpSnippet:EB}),_B={kernelName:Fs,backendName:\"webgl\",kernelFunc:mst};function fst({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=xr+`\n return x > 0.0 ? 1.0 : float(${t.alpha});\n `,s=new Mr(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var AB={kernelName:mo,backendName:\"webgl\",kernelFunc:fst};var nI=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=n;let o=n.length,s=Vt(n.length),i=Vt(n.length),a=\"\";if(o===1)a=\"coords * strides + begin\";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${t});\n ${s} strides = ${s}(${e});\n\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${a}));\n }\n `}};function dst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=it({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=ze.computeOutShape(b,w,C),$=ni({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=it({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=bt(o.shape,o.dtype,$),P=qL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new nI(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=it({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var $B={kernelName:Ha,backendName:\"webgl\",kernelFunc:dst};function hst(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=KL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var DB={kernelName:Gl,backendName:\"webgl\",kernelFunc:hst};function gst(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=jL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var RB={kernelName:Wl,backendName:\"webgl\",kernelFunc:gst};function xst(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.readSync(s.dataId),a=XL(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var FB={kernelName:Ul,backendName:\"webgl\",kernelFunc:xst};var yst=\"return tan(x);\",bst=wt({opSnippet:yst}),OB={kernelName:Ps,backendName:\"webgl\",kernelFunc:bst};var wst=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,Cst=wt({opSnippet:wst}),PB={kernelName:Ls,backendName:\"webgl\",kernelFunc:Cst};var oI=class{constructor(t,e){this.variableNames=[\"A\"];let n=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype===\"string\"?u.map(m=>y.decodeString(m)):u,c=bt(o.shape,o.dtype,l),p=ZL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new oI(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var LB={kernelName:Qn,backendName:\"webgl\",kernelFunc:Dk};var sI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},iI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function jc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function MB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=JL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,\"int32\",[])];if(c===1)return[o,Sl({attrs:{shape:l,dtype:\"int32\",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=it({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&jc(e,f);let x=MB(s),b=MB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new sI(G),K=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],X=w;w=e.runWebGLProgram(q,W,\"int32\",K),jc(e,X)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new iI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,\"int32\",q),jc(e,H);let K=x/2,X=K*2;for(let Z=K;Z>=1;Z/=2)N(X,Z,w.shape)}let _=w;w=ni({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),jc(e,_);let A=Nk({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});jc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=it({inputs:{x:w},attrs:{shape:$},backend:e}),jc(e,_);let F=A;return A=it({inputs:{x:A},attrs:{shape:$},backend:e}),jc(e,F),[A,w]}var zB={kernelName:qa,backendName:\"webgl\",kernelFunc:vst};var aI=class{constructor(t,e,n,o,s,i){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=i;let a=n===\"nearest\"?1:2,u;switch(o){case\"constant\":u=1;break;case\"reflect\":u=2;break;case\"wrap\":u=3;break;case\"nearest\":u=4;break;default:u=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${u} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${t} && 0 <= coordX && coordX < ${e}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${e}));\n float mapY = mapCoord(inY, float(${t}));\n\n if (${a} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function Sst(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new aI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],\"float32\")}var BB={kernelName:Ka,backendName:\"webgl\",kernelFunc:Sst};function Nst(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;ti(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=QL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],\"int32\",l)]}var VB={kernelName:zp,backendName:\"webgl\",kernelFunc:Nst};function Tst(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var GB={kernelName:Ci,backendName:\"webgl\",kernelFunc:Tst};var lI=class{constructor(t,e){this.variableNames=[\"x\",\"segmentIds\"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u=\"0.0\",l=\"sumValue\",c=Math.floor(n/4)*4,p=n%4,m=`\n sumValue += dot(values, segFilter);\n `,f=\"\";s%n>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${u};\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${d}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${i})) * float(${n}));\n int currentSeg = int(mod(float(outIdx), float(${i})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function kst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=it({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Bu(o.dtype),g=(C,N,_,A,$)=>{let F=C.shape[0],P=C.shape[1],V=S.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new lI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=$k({backend:e,attrs:{start:0,stop:$,step:1,dtype:\"float32\"}}),K=Dk({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(K),g(q,N,K,A,$)},x=g(d,\"unsortedSegmentSum\",s,h,i),b=it({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=S.getUndoAxesPermutation(c);w=Pe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var WB={kernelName:Hl,backendName:\"webgl\",kernelFunc:kst};var Est=[EM,AM,$M,DM,FM,OM,PM,LM,BM,VM,GM,WM,UM,HM,qM,KM,jM,XM,YM,ZM,JM,tz,ez,rz,iz,lz,uz,yM,pz,fz,dz,hz,gz,xz,yz,bz,wz,Cz,Iz,Nz,Tz,kz,Ez,_z,Az,$z,Dz,Rz,Fz,Oz,Pz,Lz,Mz,zz,Bz,Gz,Wz,Uz,Hz,Kz,jz,Xz,Yz,Zz,Jz,Qz,t3,e3,xM,r3,mz,n3,o3,s3,bM,i3,a3,l3,u3,c3,p3,m3,f3,d3,h3,x3,y3,b3,w3,C3,I3,S3,T3,k3,E3,_3,A3,O3,IM,P3,L3,M3,z3,nz,B3,W3,U3,H3,q3,wM,K3,j3,X3,Y3,Z3,oz,$3,J3,Q3,tB,SM,eB,rB,nB,oB,sB,iB,aB,lB,uB,cB,pB,mB,fB,dB,hB,gB,QM,F3,xB,yB,bB,wB,CB,IB,vB,SB,TB,kB,_B,AB,$B,DB,RB,FB,R3,TM,OB,PB,LB,zB,BB,kM,VB,GB,WB,V3];for(let r of Est)Fu(r);var Kt;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(Kt||(Kt={}));var ku;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})(ku||(ku={}));var UB;function _st(r){UB=r.wasm.cwrap(vi,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ast(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=ku[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return UB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var HB={kernelName:vi,backendName:\"wasm\",setupFunc:_st,kernelFunc:Ast};function te(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,Kt[a.dtype],c),l}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:o}}var qB=te(li);function le(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,Kt[l.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:s}}var $st=!0,KB=le(Jn,$st);var jB;function Dst(r){jB=r.wasm.cwrap(Vo,null,[\"array\",\"number\",\"number\",\"number\"])}function Rst(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return jB(s,o.length,Kt[n.dtype],i),n}var XB={kernelName:Vo,backendName:\"wasm\",setupFunc:Dst,kernelFunc:Rst};function Xc(r){let{inputs:{x:t},backend:e}=r;if(t.dtype===\"string\")return or(e.readSync(t.dataId),t.shape,t.dtype);let n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var YB={kernelName:po,backendName:\"wasm\",kernelFunc:Xc};var ZB;function Fst(r){ZB=r.wasm.cwrap(to,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function lo(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=Pst(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var JB={kernelName:to,backendName:\"wasm\",kernelFunc:lo,setupFunc:Fst};function Cn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=S.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var aV={kernelName:gi,backendName:\"wasm\",kernelFunc:cr};var lV;function Hst(r){lV=r.wasm.cwrap(Uo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function qst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=cr({inputs:{x:o},backend:e,attrs:{shape:C}}),A=cr({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),K=new Uint8Array(new Int32Array(A.shape).buffer);return lV($,H,_.shape.length,F,K,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var uV={kernelName:Uo,backendName:\"wasm\",setupFunc:Hst,kernelFunc:qst};function Lo(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=ze.parseSliceParams(t,e,n),a=ze.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=ze.computeFlatOffset(s,c);return t.dtype===\"string\"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype===\"string\"){let d=Rc(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)Kst(u,c[0],m,s,i);else if(f===3)jst(u,c[0],c[1],m,s,i);else if(f===4)Xst(u,c[0],c[1],c[2],m,s,i);else{let d=Rc(u,s,i,t.shape,t.dtype);m.set(d)}return l}function Kst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=cr({inputs:{x:o},backend:e,attrs:{shape:u}}),d=lo({inputs:{x:f},backend:e,attrs:{perm:l}}),h=cr({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Lo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var pV={kernelName:ui,backendName:\"wasm\",kernelFunc:Yst};function oi(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var mV={kernelName:uo,backendName:\"wasm\",kernelFunc:oi};var fV=te(Ho);var dV;function Zst(r){dV=r.wasm.cwrap(co,null,[\"number\",\"number\",\"number\",\"number\"])}function Jst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return dV(a,s,i,l),u}var hV={kernelName:co,backendName:\"wasm\",setupFunc:Zst,kernelFunc:Jst};function Rk(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);S.assertParamsConsistent(o,n);let s=S.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return Xc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype===\"string\"){let f=i.map(w=>{let N=[-1,y.sizeFromShape(w.shape.slice(n))];return cr({inputs:{x:w},backend:e,attrs:{shape:N}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=S.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ac(d,s,t[0].dtype,h),x=S.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=lo({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumprod\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;NV(d,i?1:0,a?1:0,f,h,Kt[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=lo({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var TV={kernelName:xa,backendName:\"wasm\",setupFunc:sit,kernelFunc:iit};var kV;function ait(r){kV=r.wasm.cwrap(Yo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function lit(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype===\"float32\"||o.dtype===\"int32\",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=lo({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumsum\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;kV(d,i?1:0,a?1:0,f,h,Kt[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=lo({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var EV={kernelName:Yo,backendName:\"wasm\",setupFunc:ait,kernelFunc:lit};var _V;function uit(r){_V=r.wasm.cwrap(ba,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function cit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,\"float32\"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return _V(x,s,i===\"NHWC\"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var AV={kernelName:ba,backendName:\"wasm\",setupFunc:uit,kernelFunc:cit};var $V;function pit(r){$V=r.wasm.cwrap(Zo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function mit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=S.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type===\"SAME\"?1:0;if(f.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,\"float32\"),G=n.dataIdMap.get(V.dataId).id;return $V(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var DV={kernelName:Zo,backendName:\"wasm\",setupFunc:pit,kernelFunc:mit};var RV=te(Qo);var fit=!1,FV=le(Ca,fit,\"bool\");var OV=te(ts,\"float32\");function uI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),cr({inputs:{x:o},backend:n,attrs:{shape:a}})}var PV={kernelName:pi,backendName:\"wasm\",kernelFunc:uI};function Ok(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var LV={kernelName:Fl,backendName:\"wasm\",kernelFunc:Ok};var MV;function dit(r){MV=r.wasm.cwrap(va,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function hit(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return MV(s,a,u,l,c,i),o}var zV={kernelName:va,backendName:\"wasm\",kernelFunc:hit,setupFunc:dit};var BV=te(es);var git=!1,VV=le(rs,git);var GV;function xit(r){GV=r.wasm.cwrap(ns,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function yit(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return GV(c,p,m,f,d,o,g),h}var WV={kernelName:ns,backendName:\"wasm\",setupFunc:xit,kernelFunc:yit};var UV;function bit(r){UV=r.wasm.cwrap(Si,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function wit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=ku[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,K=h.padInfo.type===\"SAME\"?1:0,X=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return UV(x,X,Z,et,b,N,_,C,A,$,F,P,K,V,G,W,q,H,w,g,at,d||0,ot),rt}var HV={kernelName:Si,backendName:\"wasm\",setupFunc:bit,kernelFunc:wit};var qV;function Cit(r){qV=r.wasm.cwrap(Ni,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Iit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=ku[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,K=h.padInfo.type===\"SAME\"?1:0,X=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return qV(x,X,Z,et,b,N,_,C,A,$,F,P,K,V,G,W,q,H,w,g,at,d||0,ot),rt}var KV={kernelName:Ni,backendName:\"wasm\",setupFunc:Cit,kernelFunc:Iit};var jV;function vit(r){jV=r.wasm.cwrap(Sa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Sit(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=xy.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return jV(f,Kt[n.dtype],h,i,p,a,g,x),l}var XV={kernelName:Sa,backendName:\"wasm\",setupFunc:vit,kernelFunc:Sit};var YV;function Nit(r){YV=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Tit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=cr({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=cr({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return YV(w,Kt[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var ZV={kernelName:mi,backendName:\"wasm\",setupFunc:Nit,kernelFunc:Tit};var kit=!1,JV=le(Na,kit,\"bool\");var Eit=!1,QV=le(os,Eit,\"bool\");var tG=te(ss,\"bool\");var eG;function _it(r){eG=r.wasm.cwrap(is,null,[\"number\",\"number\",\"number\",\"number\"])}function Ait(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,\"float32\");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;eG(o,Kt[t.dtype],e,i)}return s}var rG={kernelName:is,backendName:\"wasm\",setupFunc:_it,kernelFunc:Ait};var $it=!1,nG=le(Ea,$it,\"bool\");var Dit=!1,oG=le(_a,Dit,\"bool\");var sG=te(as);var Rit=!1,iG=le($a,Rit,\"bool\");var aG=te(Da);var Fit=!1,lG=le(Ra,Fit,\"bool\");var Oit=!1,uG=le(m1,Oit,\"bool\");var cG;function Pit(r){cG=r.wasm.cwrap(ls,null,[\"number\",\"number\",\"number\",\"number\"])}function Lit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"max\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;cG(u,Kt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var pG={kernelName:ls,backendName:\"wasm\",setupFunc:Pit,kernelFunc:Lit};var Mit=!1,mG=le(us,Mit);var fG;function zit(r){fG=r.wasm.cwrap(cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Bit(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=S.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,\"float32\"),$=n.dataIdMap.get(A.dataId).id;return fG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var dG={kernelName:cs,backendName:\"wasm\",setupFunc:zit,kernelFunc:Bit};var hG;function Vit(r){hG=r.wasm.cwrap(ps,null,[\"number, number, number\"])}function Git(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"mean\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!==\"float32\"&&(b=oi({backend:t,inputs:{x:l},attrs:{dtype:\"float32\"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,\"float32\");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;hG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!==\"float32\"&&t.disposeData(b.dataId),w}var gG={kernelName:ps,backendName:\"wasm\",setupFunc:Vit,kernelFunc:Git};var xG;function Wit(r){xG=r.wasm.cwrap(ms,null,[\"number\",\"number\",\"number\",\"number\"])}function Uit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"min\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;xG(u,Kt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var yG={kernelName:ms,backendName:\"wasm\",setupFunc:Wit,kernelFunc:Uit};var Hit=!1,bG=le(fs,Hit);var Pk;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(Pk||(Pk={}));var wG;function qit(r){wG=r.wasm.cwrap(ds,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Kit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return wG(i,l,t.shape.length,Kt[t.dtype],m,f,Pk[o],u),a}var CG={kernelName:ds,backendName:\"wasm\",kernelFunc:Kit,setupFunc:qit};var jit=!0,IG=le(hs,jit);var vG=te(fi);function Fd(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var SG;function Xit(r){SG=r.wasm.cwrap(Pa,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Yit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=SG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Fd(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],\"int32\",m)}var NG={kernelName:Pa,backendName:\"wasm\",setupFunc:Xit,kernelFunc:Yit};var TG;function Zit(r){TG=r.wasm.cwrap(La,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function Jit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=TG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Fd(t,m);t.wasm._free(h);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([],\"int32\",g);return[x,b]}var kG={kernelName:La,backendName:\"wasm\",setupFunc:Zit,kernelFunc:Jit};var EG;function Qit(r){EG=r.wasm.cwrap(Ma,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function tat(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=EG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Fd(t,m);t.wasm._free(g);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([d],\"float32\",h);return[x,b]}var _G={kernelName:Ma,backendName:\"wasm\",setupFunc:Qit,kernelFunc:tat};var eat=!1,AG=le(Oa,eat,\"bool\");var $G;function rat(r){$G=r.wasm.cwrap(gs,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function nat(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return $G(m,i,a,u,c),l}var DG={kernelName:gs,backendName:\"wasm\",setupFunc:rat,kernelFunc:nat};function oat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var RG={kernelName:di,backendName:\"wasm\",kernelFunc:oat};function sat(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return uI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=uI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Rk({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var FG={kernelName:hi,backendName:\"wasm\",kernelFunc:sat};var OG;function iat(r){OG=r.wasm.cwrap(xs,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function aat(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return Ok({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return OG(i,c,t.shape.length,Kt[t.dtype],f,d,o,l),a}var cI={kernelName:xs,backendName:\"wasm\",kernelFunc:aat,setupFunc:iat};var lat=!1,PG=le(ys,lat);var LG;function uat(r){LG=r.wasm.cwrap(bs,null,[\"number\",\"number\",\"number\"])}function cat(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!==\"float32\"&&(l=oi({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,\"float32\"),p=e.dataIdMap.get(c.dataId).id;return LG(a,i,p),u.dtype!==\"float32\"&&e.disposeData(l.dataId),c}var MG={kernelName:bs,backendName:\"wasm\",setupFunc:uat,kernelFunc:cat};var zG;function pat(r){zG=r.wasm.cwrap(ws,null,[\"number\",\"number\",\"number\",\"number\"])}function mat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"prod\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;zG(u,x,Kt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var BG={kernelName:ws,backendName:\"wasm\",setupFunc:pat,kernelFunc:mat};var fat=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Dc(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},VG={kernelName:Ll,backendName:\"wasm\",kernelFunc:fat};var dat=!0,GG=le(Jo,dat);var WG=te(Cs);var UG=te(Is);var HG=te(Ns);var qG;function hat(r){qG=r.wasm.cwrap(Ss,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function gat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!==\"float32\"&&(g=oi({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return qG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var KG={kernelName:Ss,backendName:\"wasm\",setupFunc:hat,kernelFunc:gat};var jG;function xat(r){jG=r.wasm.cwrap(vs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function yat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!==\"float32\"&&(x=oi({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return jG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var XG={kernelName:vs,backendName:\"wasm\",setupFunc:xat,kernelFunc:yat};var YG;function bat(r){YG=r.wasm.cwrap(Ts,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function wat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return Xc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);YG(u,c,i.length,p,o.shape.length,l);let m=cr({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var ZG={kernelName:Ts,backendName:\"wasm\",kernelFunc:wat,setupFunc:bat};var JG;function Cat(r){JG=r.wasm.cwrap(ja,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Iat(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=S.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i==\"number\"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return JG(l,p,m,f,d,s,h,g,C,w.length,c),u}var QG={kernelName:ja,backendName:\"wasm\",kernelFunc:Iat,setupFunc:Cat};var tW=te(ks);var eW=te(Es);var rW;function vat(r){rW=r.wasm.cwrap(za,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Sat(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=mh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return rW(d,g,Kt[s.dtype],u,l,c,x,m,b),a}var nW={kernelName:za,backendName:\"wasm\",setupFunc:vat,kernelFunc:Sat};var oW;function Nat(r){oW=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Tat(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return oW(i,a,u,f,c),l}var sW={kernelName:xi,backendName:\"wasm\",kernelFunc:Tat,setupFunc:Nat};var iW;function kat(r){iW=r.wasm.cwrap(As,null,[\"number\",\"number\"])}function Eat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||iW(n,s),o}var aW={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:kat,kernelFunc:Eat};var lW=te(_s);var uW;function _at(r){uW=r.wasm.cwrap(Rs,null,[\"number\",\"number\",\"number\",\"number\"])}function Aat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||uW(o,i,a,u),s}var cW={kernelName:Rs,backendName:\"wasm\",setupFunc:_at,kernelFunc:Aat};function $at(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_0?u+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],\"int32\"),b=e.dataIdMap.get(x.dataId).id;gW(m,Kt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=\"\"}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function Pat(r){return mI(r,!0)}var xW={kernelName:zl,backendName:\"wasm\",setupFunc:pI,kernelFunc:Pat};function Lat(r){return mI(r,!1)}var yW={kernelName:Bl,backendName:\"wasm\",setupFunc:pI,kernelFunc:Lat};function Mat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Lo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var bW={kernelName:wi,backendName:\"wasm\",kernelFunc:Mat};var wW=te($s);var CW=te(Vl);var zat=!0,IW=le(Fs,zat);var vW;function Bat(r){vW=r.wasm.cwrap(mo,null,[\"number\",\"number\",\"number\",\"number\"])}function Vat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return vW(i,o,Kt[s.dtype],u),a}var SW={kernelName:mo,backendName:\"wasm\",setupFunc:Bat,kernelFunc:Vat};var NW;function Gat(r){NW=r.wasm.cwrap(Ha,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function Wat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=cr({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=ze.computeOutShape(b,w,C),A=Lo({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=cr({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,\"float32\"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;NW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=cr({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var TW={kernelName:Ha,backendName:\"wasm\",setupFunc:Gat,kernelFunc:Wat};function Uat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Fc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],\"string\"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,\"int32\");return t.typedArrayFromHeap(b).set(h),[g,b]}var kW={kernelName:Gl,backendName:\"wasm\",kernelFunc:Uat};function Hat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Oc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],\"int32\");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],\"string\"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],\"int32\");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var EW={kernelName:Wl,backendName:\"wasm\",kernelFunc:Hat};function qat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Pc(i,s),u=t.makeOutput(o.shape,\"int32\");return t.typedArrayFromHeap(u).set(a),u}var _W={kernelName:Ul,backendName:\"wasm\",kernelFunc:qat};var Kat=!0,AW=le(Os,Kat);var $W;function jat(r){$W=r.wasm.cwrap(Ds,null,[\"number\",\"number\",\"number\",\"number\"])}function Xat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"sum\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;$W(u,x,Kt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var DW={kernelName:Ds,backendName:\"wasm\",setupFunc:jat,kernelFunc:Xat};var RW=te(Ps);var FW=te(Ls);var OW;function Yat(r){OW=r.wasm.cwrap(Qn,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Zat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,\"int32\"),m=t.dataIdMap.get(p.dataId).id;return LW(i,a,n.shape.length,Kt[n.dtype],o,s,c,m),[l,p]},MW={kernelName:qa,backendName:\"wasm\",setupFunc:Jat,kernelFunc:Qat};var zW;function tlt(r){zW=r.wasm.cwrap(Ka,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function elt(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i===\"nearest\"?1:2,P;switch(a){case\"constant\":P=1;break;case\"reflect\":P=2;break;case\"wrap\":P=3;break;case\"nearest\":P=4;break;default:P=1;break}return zW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var BW={kernelName:Ka,backendName:\"wasm\",setupFunc:tlt,kernelFunc:elt};function rlt(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var VW={kernelName:Ci,backendName:\"wasm\",kernelFunc:rlt};function nlt(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var GW={kernelName:Ii,backendName:\"wasm\",kernelFunc:nlt};var olt=[HB,qB,KB,XB,tV,rV,oV,iV,uV,pV,mV,fV,hV,gV,yV,wV,CV,IV,SV,TV,EV,AV,DV,RV,FV,OV,PV,LV,zV,BV,VV,WV,HV,KV,XV,ZV,JV,QV,YB,tG,rG,nG,oG,sG,iG,aG,lG,uG,pG,mG,dG,gG,yG,bG,CG,IG,vG,NG,kG,_G,AG,DG,RG,FG,cI,PG,MG,BG,VG,GG,WG,UG,HG,aV,KG,XG,ZG,QG,tW,eW,nW,sW,aW,lW,cV,cW,pW,fW,hW,xW,yW,bW,wW,CW,IW,SW,TW,kW,EW,_W,AW,DW,RW,FW,PW,MW,BW,JB,VW,GW];for(let r of olt)Fu(r);var Lk=M();Lk.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});Lk.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(Lk.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var Uk=El(qW()),JW=El(jW()),Hk=El(XW());var YW=Uk.default||Uk,slt=Hk.default||Hk,pg=class extends zo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(tU),Wk=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ia(this,Ln())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o===\"string\"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s===\"string\")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return alt(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case\"float32\":return new Float32Array(o,s,i);case\"int32\":return new Int32Array(o,s,i);case\"bool\":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function ilt(r){return(t,e)=>(y.fetch(r,{credentials:\"same-origin\"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function ZW(r,t,e){if(hI!=null)return hI;let n=\"tfjs-backend-wasm.wasm\";return r&&t?n=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(n=\"tfjs-backend-wasm-simd.wasm\"),ug!=null&&ug[n]!=null?ug[n]:e+n}async function QW(){let[r,t]=await Promise.all([M().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),M().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(\".worker.js\")){let l=JW.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([l],{type:\"application/javascript\"});return URL.createObjectURL(c)}return a.endsWith(\".wasm\")?ZW(r,t,lg!=null?lg:u):u+a},qk&&(o.instantiateWasm=ilt(ZW(r,t,lg!=null?lg:\"\")));let s=!1;o.onAbort=()=>{if(s||cg)return;cg=!0,n({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let i;t&&r&&hI==null?(o.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+YW.toString()],{type:\"text/javascript\"}),i=YW(o)):i=slt(o),i.then(a=>{s=!0,cg=!1;let u=null;a.tfjs={init:a.cwrap(\"init\",null,[]),initWithThreadsCount:a.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:a.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:a.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:a.cwrap(\"dispose_data\",u,[\"number\"]),dispose:a.cwrap(\"dispose\",u,[])},e({wasm:a})}).catch(n)})}function alt(r,t){switch(t){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var llt=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],hI=null,lg=null,ug={},cg=!1,qk=!1;function ult(r,t=!1){if(B0(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),cg)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");hI=r,qk=t}function clt(r,t=!1){if(cg)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")lg=r;else{ug=r;let e=llt.filter(n=>ug[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}qk=t}var tU=-1,Wk=-1;function plt(r){tU=r}function mlt(){if(Wk===-1)throw new Error(\"WASM backend not initialized.\");return Wk}var flt=\"4.2.0\";var dlt=2;Yp(\"wasm\",async()=>{let{wasm:r}=await QW();return new pg(r)},dlt);var eU=\"4.2.0\",hlt=\"4.2.0\",glt=\"4.2.0\",xlt=\"4.2.0\",ylt=\"4.2.0\",blt={tfjs:eU,\"tfjs-core\":eU,\"tfjs-converter\":hlt,\"tfjs-backend-cpu\":glt,\"tfjs-backend-webgl\":xlt,\"tfjs-backend-wasm\":ylt};export{li as Abs,la as Acos,ua as Acosh,ec as AdadeltaOptimizer,rc as AdagradOptimizer,nc as AdamOptimizer,oc as AdamaxOptimizer,Jn as Add,Vo as AddN,ca as All,pa as Any,Go as ArgMax,_l as ArgMin,ma as Asin,fa as Asinh,da as Atan,ga as Atan2,ha as Atanh,Wo as AvgPool,Al as AvgPool3D,up as AvgPool3DGrad,lp as AvgPoolGrad,pg as BackendWasm,Uo as BatchMatMul,ui as BatchToSpaceND,cp as Bincount,pp as BroadcastArgs,p1 as BroadcastTo,vb as Callback,Py as CallbackList,uo as Cast,Ho as Ceil,co as ClipByValue,mp as Complex,$l as ComplexAbs,ci as Concat,qo as Conv2D,fp as Conv2DBackpropFilter,Ko as Conv2DBackpropInput,Dl as Conv3D,dp as Conv3DBackpropFilterV2,hp as Conv3DBackpropInputV2,jo as Cos,Xo as Cosh,ya as CropAndResize,xa as Cumprod,Yo as Cumsum,My as CustomCallback,ia as DataStorage,gp as DenseBincount,ba as DepthToSpace,Zo as DepthwiseConv2dNative,xp as DepthwiseConv2dNativeBackpropFilter,yp as DepthwiseConv2dNativeBackpropInput,bp as Diag,Rl as Dilation2D,jd as Dilation2DBackpropFilter,Kd as Dilation2DBackpropInput,u0 as ENV,Sb as EarlyStopping,wp as Einsum,Qo as Elu,Cp as EluGrad,Hd as Environment,Ca as Equal,wa as Erf,ts as Exp,pi as ExpandDims,Ia as Expm1,Ip as FFT,Fl as Fill,va as FlipLeftRight,es as Floor,rs as FloorDiv,Xd as FromPixels,ns as FusedBatchNorm,Si as FusedConv2D,Ni as FusedDepthwiseConv2D,Gc as GPGPUContext,Sa as GatherNd,mi as GatherV2,Mh as GraphModel,Na as Greater,os as GreaterEqual,Ly as History,vp as IFFT,po as Identity,Sp as Imag,be as InputSpec,Ta as IsFinite,ka as IsInf,ss as IsNan,zo as KernelBackend,Ol as LRN,Tp as LRNGrad,vh as LayerVariable,Vn as LayersModel,is as LeakyRelu,Ea as Less,_a as LessEqual,Np as LinSpace,as as Log,Aa as Log1p,f1 as LogSoftmax,$a as LogicalAnd,Da as LogicalNot,Ra as LogicalOr,m1 as LogicalXor,Nlt as LowerBound,Su as MathBackendWebGL,ls as Max,cs as MaxPool,Pl as MaxPool3D,Ep as MaxPool3DGrad,kp as MaxPoolGrad,_p as MaxPoolWithArgmax,us as Maximum,ps as Mean,ms as Min,fs as Minimum,ds as MirrorPad,Fa as Mod,sc as MomentumOptimizer,Ap as Multinomial,hs as Multiply,fi as Neg,Pa as NonMaxSuppressionV3,La as NonMaxSuppressionV4,Ma as NonMaxSuppressionV5,Oa as NotEqual,A0 as OP_SCOPE_SUFFIX,gs as OneHot,di as OnesLike,Hr as Optimizer,xh as OptimizerConstructors,hi as Pack,xs as PadV2,Tlt as Pool,ys as Pow,bs as Prelu,ws as Prod,ic as RMSPropOptimizer,kn as RNN,$p as RaggedGather,Dp as RaggedRange,Rp as RaggedTensorToTensor,Ll as Range,w0 as Rank,Fp as Real,Jo as RealDiv,Cs as Reciprocal,Ze as Reduction,Is as Relu,Ns as Relu6,gi as Reshape,Ss as ResizeBilinear,Pp as ResizeBilinearGrad,vs as ResizeNearestNeighbor,Op as ResizeNearestNeighborGrad,Ts as Reverse,ja as RotateWithOffset,ks as Round,Es as Rsqrt,rl as SGDOptimizer,za as ScatterNd,Lp as SearchSorted,xi as Select,Ba as Selu,Xi as Sequential,As as Sigmoid,Ga as Sign,_s as Sin,Va as Sinh,yi as Slice,Rs as Softmax,Wa as Softplus,bi as SpaceToBatchND,Ml as SparseFillEmptyRows,Ua as SparseReshape,zl as SparseSegmentMean,Bl as SparseSegmentSum,Mp as SparseToDense,wi as SplitV,$s as Sqrt,Vl as Square,Fs as SquaredDifference,mo as Step,Ha as StridedSlice,Gl as StringNGrams,Wl as StringSplit,Ul as StringToHashBucketFast,Os as Sub,Ds as Sum,en as SymbolicTensor,Ps as Tan,Ls as Tanh,Ft as Tensor,pe as TensorBuffer,Qn as Tile,qa as TopK,Ka as Transform,to as Transpose,zp as Unique,Ci as Unpack,Hl as UnsortedSegmentSum,klt as UpperBound,Xa as Variable,Ii as ZerosLike,vi as _FusedMatMul,Ee as abs,tx as acos,ex as acosh,Y as add,uE as addN,Jp as all,Gu as any,Ai as argMax,rx as argMin,nx as asin,ox as asinh,sx as atan,ix as atan2,ax as atanh,Zl as avgPool,lx as avgPool3d,lE as backend,S as backend_util,mE as basicLSTMCell,Ri as batchNorm,ux as batchNorm2d,cx as batchNorm3d,px as batchNorm4d,Jl as batchToSpaceND,mx as bincount,Oj as booleanMaskAsync,dE as broadcastArgs,Fi as broadcastTo,Wr as broadcast_util,gy as browser,bt as buffer,jZ as callbacks,J as cast,fx as ceil,vr as clipByValue,an as clone,In as complex,oe as concat,dx as concat1d,hx as concat2d,gx as concat3d,xx as concat4d,j$ as constraints,tm as conv1d,vn as conv2d,rm as conv2dTranspose,yx as conv3d,wx as conv3dTranspose,Flt as copyRegisteredKernels,Ql as cos,nm as cosh,fh as cosineWindow,Uu as cumprod,om as cumsum,cn as customGrad,$R as data,ah as denseBincount,B0 as deprecationWarn,Cx as depthToSpace,Oi as depthwiseConv2d,JZ as deregisterOp,Xl as device_util,hE as diag,Ix as dilation2d,Bct as disableDeprecationWarnings,Nt as dispose,Vct as disposeVariables,ut as div,vx as divNoNan,Sx as dot,nS as dropout,xE as einsum,Pi as elu,zct as enableDebugMode,Mct as enableProdMode,oS as enclosingPowerOfTwo,Ln as engine,M as env,Dr as equal,Nx as erf,Tx as euclideanNorm,sr as exp,ir as expandDims,kx as expm1,Hu as eye,lu as fft,yo as fill,Kct as findBackend,jct as findBackendFactory,Li as floor,Zp as floorDiv,gM as forceHalfFloat,cu as fused,Mi as gather,Hj as gatherND,xy as gather_util,Hct as getBackend,m0 as getGradient,Zd as getKernel,Bg as getKernelsForBackend,mlt as getThreadsCount,ck as gpgpu_util,Bq as grad,Vq as grads,Fe as greater,un as greaterEqual,el as ifft,tu as imag,oo as image,jj as inTopKAsync,X$ as initializers,BS as input,Pr as io,ym as irfft,Ex as isFinite,_x as isInf,Ax as isNaN,De as keep,qr as kernel_impls,ED as layers,eu as leakyRelu,sm as less,Mn as lessEqual,iS as linalg,wE as linspace,q7 as loadGraphModel,K7 as loadGraphModelSync,hD as loadLayersModel,$x as localResponseNormalization,Nr as log,ru as log1p,Fx as logSigmoid,im as logSoftmax,am as logSumExp,Fr as logicalAnd,nu as logicalNot,lm as logicalOr,Ox as logicalXor,j6 as losses,CE as lowerBound,Mt as matMul,uA as math,Sr as max,ou as maxPool,Lx as maxPool3d,IE as maxPoolWithArgmax,Sn as maximum,Ne as mean,oh as memory,vE as meshgrid,_D as metrics,Ja as min,zi as minimum,Mx as mirrorPad,zx as mod,Y8 as model,AD as models,qu as moments,Mj as movingAverage,D as mul,SE as multiRNNCell,NE as multinomial,qt as neg,yh as nextFrame,Qa as norm,Gs as notEqual,Bi as oneHot,fr as ones,wr as onesLike,T as op,TE as outerProduct,pn as pad,kE as pad1d,EE as pad2d,_E as pad3d,AE as pad4d,Bx as pool,ln as pow,iu as prelu,Qg as print,Vx as prod,Gct as profile,$E as raggedGather,DE as raggedRange,RE as raggedTensorToTensor,FE as rand,e_ as randomGamma,Xu as randomNormal,r_ as randomStandardNormal,Vi as randomUniform,Gi as range,Uct as ready,tl as real,Kx as reciprocal,Yp as registerBackend,J8 as registerCallbackConstructor,h1 as registerGradient,Fu as registerKernel,ZZ as registerOp,$D as regularizers,Or as relu,um as relu6,qct as removeBackend,R as reshape,dr as reverse,n_ as reverse1d,o_ as reverse2d,s_ as reverse3d,i_ as reverse4d,uu as rfft,cm as round,pm as rsqrt,pt as scalar,Bj as scatterND,mh as scatter_util,uh as searchSorted,mm as selu,fm as separableConv2d,Z8 as sequential,Q as serialization,j4 as setBackend,Xct as setPlatform,plt as setThreadsCount,ult as setWasmPath,clt as setWasmPaths,ST as setWebGLContext,a_ as setdiff1dAsync,Qr as sigmoid,jx as sign,K6 as signal,dm as sin,hm as sinh,Rt as slice,gm as slice1d,ph as slice2d,xm as slice3d,Yu as slice4d,ze as slice_util,au as softmax,Vs as softplus,su as spaceToBatchND,X6 as sparse,Wj as sparseToDense,q6 as spectral,hr as split,Se as sqrt,zt as square,bm as squaredDifference,zn as squeeze,qe as stack,wo as step,Xx as stridedSlice,Y6 as string,lt as sub,mt as sum,Bu as sumOutType,Yx as tan,Di as tanh,or as tensor,Ke as tensor1d,Ws as tensor2d,Zx as tensor3d,l_ as tensor4d,u_ as tensor5d,c_ as tensor6d,xo as tensor_util,t_ as test_util,B as tidy,Rr as tile,Wct as time,Jx as topk,lc as train,Pt as transpose,wm as truncatedNormal,Qx as unique,Rlt as unregisterGradient,Dlt as unregisterKernel,Cm as unsortedSegmentSum,gr as unstack,lr as upcastType,p_ as upperBound,y as util,Gq as valueAndGrad,Wq as valueAndGrads,ty as variable,Dx as variableGrads,blt as version,pR as version_converter,CA as version_core,Hm as version_layers,flt as version_wasm,hM as version_webgl,g1e as webgl,gd as webgl_util,_e as where,ry as whereAsync,Te as zeros,It as zerosLike};\n", "export * from './drawContour';\nexport * from './drawDetections';\nexport * from './drawFaceExpressions';\nexport * from './DrawBox';\nexport * from './DrawFaceLandmarks';\nexport * from './DrawTextField';\n", "import { Point } from '../classes/index';\n\nexport function drawContour(\n ctx: CanvasRenderingContext2D,\n points: Point[],\n isClosed = false,\n) {\n ctx.beginPath();\n\n points.slice(1).forEach(({ x, y }, prevIdx) => {\n const from = points[prevIdx];\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(x, y);\n });\n\n if (isClosed) {\n const from = points[points.length - 1];\n const to = points[0];\n if (!from || !to) {\n return;\n }\n\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(to.x, to.y);\n }\n\n ctx.stroke();\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Point } from '../classes/index';\nimport { Dimensions, IDimensions } from '../classes/Dimensions';\n\nexport function isTensor(tensor: any, dim: number) {\n return tensor instanceof tf.Tensor && tensor.shape.length === dim;\n}\n\nexport function isTensor1D(tensor: any): tensor is tf.Tensor1D {\n return isTensor(tensor, 1);\n}\n\nexport function isTensor2D(tensor: any): tensor is tf.Tensor2D {\n return isTensor(tensor, 2);\n}\n\nexport function isTensor3D(tensor: any): tensor is tf.Tensor3D {\n return isTensor(tensor, 3);\n}\n\nexport function isTensor4D(tensor: any): tensor is tf.Tensor4D {\n return isTensor(tensor, 4);\n}\n\nexport function isFloat(num: number) {\n return num % 1 !== 0;\n}\n\nexport function isEven(num: number) {\n return num % 2 === 0;\n}\n\nexport function round(num: number, prec = 2) {\n const f = 10 ** prec;\n return Math.floor(num * f) / f;\n}\n\nexport function isDimensions(obj: any): boolean {\n return obj && obj.width && obj.height;\n}\n\nexport function computeReshapedDimensions({ width, height }: IDimensions, inputSize: number) {\n const scale = inputSize / Math.max(height, width);\n return new Dimensions(Math.round(width * scale), Math.round(height * scale));\n}\n\nexport function getCenterPoint(pts: Point[]): Point {\n return pts.reduce((sum, pt) => sum.add(pt), new Point(0, 0))\n .div(new Point(pts.length, pts.length));\n}\n\nexport function range(num: number, start: number, step: number): number[] {\n return Array(num).fill(0).map((_, i) => start + (i * step));\n}\n\nexport function isValidNumber(num: any) {\n return !!num && (num !== Infinity) && (num !== -Infinity) && !Number.isNaN(num) || num === 0;\n}\n\nexport function isValidProbablitiy(num: any) {\n return isValidNumber(num) && num >= 0 && num <= 1.0;\n}\n", "import { isValidNumber } from '../utils/index';\n\nexport interface IDimensions {\n width: number\n height: number\n}\n\nexport class Dimensions implements IDimensions {\n private _width: number;\n\n private _height: number;\n\n constructor(width: number, height: number) {\n if (!isValidNumber(width) || !isValidNumber(height)) {\n throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({ width, height })}`);\n }\n\n this._width = width;\n this._height = height;\n }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public reverse(): Dimensions {\n return new Dimensions(1 / this.width, 1 / this.height);\n }\n}\n", "export interface IPoint {\n x: number\n y: number\n}\n\nexport class Point implements IPoint {\n private _x: number;\n\n private _y: number;\n\n constructor(x: number, y: number) {\n this._x = x;\n this._y = y;\n }\n\n get x(): number { return this._x; }\n\n get y(): number { return this._y; }\n\n public add(pt: IPoint): Point {\n return new Point(this.x + pt.x, this.y + pt.y);\n }\n\n public sub(pt: IPoint): Point {\n return new Point(this.x - pt.x, this.y - pt.y);\n }\n\n public mul(pt: IPoint): Point {\n return new Point(this.x * pt.x, this.y * pt.y);\n }\n\n public div(pt: IPoint): Point {\n return new Point(this.x / pt.x, this.y / pt.y);\n }\n\n public abs(): Point {\n return new Point(Math.abs(this.x), Math.abs(this.y));\n }\n\n public magnitude(): number {\n return Math.sqrt((this.x ** 2) + (this.y ** 2));\n }\n\n public floor(): Point {\n return new Point(Math.floor(this.x), Math.floor(this.y));\n }\n}\n", "import { isDimensions, isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { IDimensions } from './Dimensions';\nimport { Point } from './Point';\nimport { IRect } from './Rect';\n\nexport class Box implements IBoundingBox, IRect {\n public static isRect(rect: any): boolean {\n return !!rect && [rect.x, rect.y, rect.width, rect.height].every(isValidNumber);\n }\n\n public static assertIsValidBox(box: any, callee: string, allowNegativeDimensions = false) {\n if (!Box.isRect(box)) {\n throw new Error(`${callee} - invalid box: ${JSON.stringify(box)}, expected object with properties x, y, width, height`);\n }\n\n if (!allowNegativeDimensions && (box.width < 0 || box.height < 0)) {\n throw new Error(`${callee} - width (${box.width}) and height (${box.height}) must be positive numbers`);\n }\n }\n\n private _x: number;\n\n private _y: number;\n\n private _width: number;\n\n private _height: number;\n\n constructor(_box: IBoundingBox | IRect, allowNegativeDimensions = true) {\n const box = (_box || {}) as any;\n\n const isBbox = [box.left, box.top, box.right, box.bottom].every(isValidNumber);\n const isRect = [box.x, box.y, box.width, box.height].every(isValidNumber);\n\n if (!isRect && !isBbox) {\n throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(box)}`);\n }\n\n const [x, y, width, height] = isRect\n ? [box.x, box.y, box.width, box.height]\n : [box.left, box.top, box.right - box.left, box.bottom - box.top];\n\n Box.assertIsValidBox({\n x, y, width, height,\n }, 'Box.constructor', allowNegativeDimensions);\n\n this._x = x;\n this._y = y;\n this._width = width;\n this._height = height;\n }\n\n public get x(): number { return this._x; }\n\n public get y(): number { return this._y; }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public get left(): number { return this.x; }\n\n public get top(): number { return this.y; }\n\n public get right(): number { return this.x + this.width; }\n\n public get bottom(): number { return this.y + this.height; }\n\n public get area(): number { return this.width * this.height; }\n\n public get topLeft(): Point { return new Point(this.left, this.top); }\n\n public get topRight(): Point { return new Point(this.right, this.top); }\n\n public get bottomLeft(): Point { return new Point(this.left, this.bottom); }\n\n public get bottomRight(): Point { return new Point(this.right, this.bottom); }\n\n public round(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.round(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public floor(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.floor(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public toSquare(): Box {\n let {\n x, y, width, height,\n } = this;\n const diff = Math.abs(width - height);\n if (width < height) {\n x -= (diff / 2);\n width += diff;\n }\n if (height < width) {\n y -= (diff / 2);\n height += diff;\n }\n\n return new Box({ x, y, width, height });\n }\n\n public rescale(s: IDimensions | number): Box {\n const scaleX = isDimensions(s) ? (s as IDimensions).width : s as number;\n const scaleY = isDimensions(s) ? (s as IDimensions).height : s as number;\n return new Box({\n x: this.x * scaleX,\n y: this.y * scaleY,\n width: this.width * scaleX,\n height: this.height * scaleY,\n });\n }\n\n public pad(padX: number, padY: number): Box {\n const [x, y, width, height] = [\n this.x - (padX / 2),\n this.y - (padY / 2),\n this.width + padX,\n this.height + padY,\n ];\n return new Box({ x, y, width, height });\n }\n\n public clipAtImageBorders(imgWidth: number, imgHeight: number): Box {\n const { x, y, right, bottom } = this;\n const clippedX = Math.max(x, 0);\n const clippedY = Math.max(y, 0);\n\n const newWidth = right - clippedX;\n const newHeight = bottom - clippedY;\n const clippedWidth = Math.min(newWidth, imgWidth - clippedX);\n const clippedHeight = Math.min(newHeight, imgHeight - clippedY);\n\n return (new Box({ x: clippedX, y: clippedY, width: clippedWidth, height: clippedHeight })).floor();\n }\n\n public shift(sx: number, sy: number): Box {\n const { width, height } = this;\n const x = this.x + sx;\n const y = this.y + sy;\n\n return new Box({ x, y, width, height });\n }\n\n public padAtBorders(imageHeight: number, imageWidth: number) {\n const w = this.width + 1;\n const h = this.height + 1;\n\n const dx = 1;\n const dy = 1;\n let edx = w;\n let edy = h;\n\n let x = this.left;\n let y = this.top;\n let ex = this.right;\n let ey = this.bottom;\n\n if (ex > imageWidth) {\n edx = -ex + imageWidth + w;\n ex = imageWidth;\n }\n if (ey > imageHeight) {\n edy = -ey + imageHeight + h;\n ey = imageHeight;\n }\n if (x < 1) {\n edy = 2 - x;\n x = 1;\n }\n if (y < 1) {\n edy = 2 - y;\n y = 1;\n }\n\n return { dy, edy, dx, edx, y, ey, x, ex, w, h };\n }\n\n public calibrate(region: Box) {\n return new Box({\n left: this.left + (region.left * this.width),\n top: this.top + (region.top * this.height),\n right: this.right + (region.right * this.width),\n bottom: this.bottom + (region.bottom * this.height),\n }).toSquare().round();\n }\n}\n", "import { Box } from './Box';\n\nexport interface IBoundingBox {\n left: number\n top: number\n right: number\n bottom: number\n}\n\nexport class BoundingBox extends Box implements IBoundingBox {\n constructor(left: number, top: number, right: number, bottom: number, allowNegativeDimensions = false) {\n super({ left, top, right, bottom }, allowNegativeDimensions);\n }\n}\n", "import { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { IRect, Rect } from './Rect';\n\nexport class ObjectDetection {\n private _score: number;\n\n private _classScore: number;\n\n private _className: string;\n\n private _box: Rect;\n\n private _imageDims: Dimensions;\n\n constructor(\n score: number,\n classScore: number,\n className: string,\n relativeBox: IRect,\n imageDims: IDimensions,\n ) {\n this._imageDims = new Dimensions(imageDims.width, imageDims.height);\n this._score = score;\n this._classScore = classScore;\n this._className = className;\n this._box = new Box(relativeBox).rescale(this._imageDims);\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n\n public get className(): string { return this._className; }\n\n public get box(): Box { return this._box; }\n\n public get imageDims(): Dimensions { return this._imageDims; }\n\n public get imageWidth(): number { return this.imageDims.width; }\n\n public get imageHeight(): number { return this.imageDims.height; }\n\n public get relativeBox(): Box { return new Box(this._box).rescale(this.imageDims.reverse()); }\n\n public forSize(width: number, height: number): ObjectDetection {\n return new ObjectDetection(\n this.score,\n this.classScore,\n this.className,\n this.relativeBox,\n { width, height },\n );\n }\n}\n", "import { Box } from './Box';\nimport { IDimensions } from './Dimensions';\nimport { ObjectDetection } from './ObjectDetection';\nimport { Rect } from './Rect';\n\nexport interface IFaceDetecion {\n score: number\n box: Box\n}\n\nexport class FaceDetection extends ObjectDetection implements IFaceDetecion {\n constructor(\n score: number,\n relativeBox: Rect,\n imageDims: IDimensions,\n ) {\n super(score, score, '', relativeBox, imageDims);\n }\n\n public override forSize(width: number, height: number): FaceDetection {\n const { score, relativeBox, imageDims } = super.forSize(width, height);\n return new FaceDetection(score, relativeBox, imageDims);\n }\n}\n", "import { Box } from '../classes/Box';\n\nexport function iou(box1: Box, box2: Box, isIOU = true) {\n const width = Math.max(0.0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));\n const height = Math.max(0.0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));\n const interSection = width * height;\n\n return isIOU\n ? interSection / (box1.area + box2.area - interSection)\n : interSection / Math.min(box1.area, box2.area);\n}\n", "import { BoundingBox, IPoint } from '../classes/index';\n\nexport function minBbox(pts: IPoint[]): BoundingBox {\n const xs = pts.map((pt) => pt.x);\n const ys = pts.map((pt) => pt.y);\n const minX = xs.reduce((min, x) => (x < min ? x : min), Infinity);\n const minY = ys.reduce((min, y) => (y < min ? y : min), Infinity);\n const maxX = xs.reduce((max, x) => (max < x ? x : max), 0);\n const maxY = ys.reduce((max, y) => (max < y ? y : max), 0);\n\n return new BoundingBox(minX, minY, maxX, maxY);\n}\n", "import { Box } from '../classes/Box';\nimport { iou } from './iou';\n\nexport function nonMaxSuppression(\n boxes: Box[],\n scores: number[],\n iouThreshold: number,\n isIOU = true,\n): number[] {\n let indicesSortedByScore = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .sort((c1, c2) => c1.score - c2.score)\n .map((c) => c.boxIndex);\n\n const pick: number[] = [];\n\n while (indicesSortedByScore.length > 0) {\n const curr = indicesSortedByScore.pop() as number;\n pick.push(curr);\n\n const indices = indicesSortedByScore;\n\n const outputs: number[] = [];\n for (let i = 0; i < indices.length; i++) {\n const idx = indices[i];\n\n const currBox = boxes[curr];\n const idxBox = boxes[idx];\n\n outputs.push(iou(currBox, idxBox, isIOU));\n }\n\n indicesSortedByScore = indicesSortedByScore.filter(\n (_, j) => outputs[j] <= iouThreshold,\n );\n }\n\n return pick;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function normalize(x: tf.Tensor4D, meanRgb: number[]): tf.Tensor4D {\n return tf.tidy(() => {\n const [r, g, b] = meanRgb;\n const avg_r = tf.fill([...x.shape.slice(0, 3), 1], r, 'float32');\n const avg_g = tf.fill([...x.shape.slice(0, 3), 1], g, 'float32');\n const avg_b = tf.fill([...x.shape.slice(0, 3), 1], b, 'float32');\n const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3);\n\n return tf.sub(x, avg_rgb);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n/**\n * Pads the smaller dimension of an image tensor with zeros, such that width === height.\n *\n * @param imgTensor The image tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The padded tensor with width === height.\n */\nexport function padToSquare(imgTensor: tf.Tensor4D, isCenterImage = false): tf.Tensor4D {\n return tf.tidy(() => {\n const [height, width] = imgTensor.shape.slice(1);\n if (height === width) return imgTensor;\n const dimDiff = Math.abs(height - width);\n const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));\n const paddingAxis = height > width ? 2 : 1;\n const createPaddingTensor = (paddingAmountLocal: number): tf.Tensor => {\n const paddingTensorShape = imgTensor.shape.slice();\n paddingTensorShape[paddingAxis] = paddingAmountLocal;\n return tf.fill(paddingTensorShape, 0, 'float32');\n };\n const paddingTensorAppend = createPaddingTensor(paddingAmount);\n const remainingPaddingAmount = dimDiff - (paddingTensorAppend.shape[paddingAxis] as number);\n const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;\n const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend]\n .filter((t) => !!t)\n .map((t) => tf.cast(t as tf.Tensor4D, 'float32')) as tf.Tensor4D[];\n return tf.concat(tensorsToStack, paddingAxis);\n });\n}\n", "export function shuffleArray(inputArray: any[]) {\n const array = inputArray.slice();\n for (let i = array.length - 1; i > 0; i--) {\n const j = Math.floor(Math.random() * (i + 1));\n const x = array[i];\n array[i] = array[j];\n array[j] = x;\n }\n return array;\n}\n", "export * from './iou';\nexport * from './minBbox';\nexport * from './nonMaxSuppression';\nexport * from './normalize';\nexport * from './padToSquare';\nexport * from './shuffleArray';\n\nexport function sigmoid(x: number) {\n return 1 / (1 + Math.exp(-x));\n}\n\nexport function inverseSigmoid(x: number) {\n return Math.log(x / (1 - x));\n}\n", "import { Box } from './Box';\n\nexport interface IRect {\n x: number\n y: number\n width: number\n height: number\n}\n\nexport class Rect extends Box implements IRect {\n constructor(x: number, y: number, width: number, height: number, allowNegativeDimensions = false) {\n super({ x, y, width, height }, allowNegativeDimensions);\n }\n}\n", "import { minBbox } from '../ops/index';\nimport { getCenterPoint } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { FaceDetection } from './FaceDetection';\nimport { Point } from './Point';\nimport { IRect, Rect } from './Rect';\n\n// face alignment constants\nconst relX = 0.5;\nconst relY = 0.43;\nconst relScale = 0.45;\n\nexport interface IFaceLandmarks {\n positions: Point[]\n shift: Point\n}\n\nexport class FaceLandmarks implements IFaceLandmarks {\n protected _shift: Point;\n\n protected _positions: Point[];\n\n protected _imgDims: Dimensions;\n\n constructor(\n relativeFaceLandmarkPositions: Point[],\n imgDims: IDimensions,\n shift: Point = new Point(0, 0),\n ) {\n const { width, height } = imgDims;\n this._imgDims = new Dimensions(width, height);\n this._shift = shift;\n this._positions = relativeFaceLandmarkPositions.map(\n (pt) => pt.mul(new Point(width, height)).add(shift),\n );\n }\n\n public get shift(): Point { return new Point(this._shift.x, this._shift.y); }\n\n public get imageWidth(): number { return this._imgDims.width; }\n\n public get imageHeight(): number { return this._imgDims.height; }\n\n public get positions(): Point[] { return this._positions; }\n\n public get relativePositions(): Point[] {\n return this._positions.map(\n (pt) => pt.sub(this._shift).div(new Point(this.imageWidth, this.imageHeight)),\n );\n }\n\n public forSize(width: number, height: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n { width, height },\n );\n }\n\n public shiftBy(x: number, y: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n this._imgDims,\n new Point(x, y),\n );\n }\n\n public shiftByPoint(pt: Point): T {\n return this.shiftBy(pt.x, pt.y);\n }\n\n /**\n * Aligns the face landmarks after face detection from the relative positions of the faces\n * bounding box, or it's current shift. This function should be used to align the face images\n * after face detection has been performed, before they are passed to the face recognition net.\n * This will make the computed face descriptor more accurate.\n *\n * @param detection (optional) The bounding box of the face or the face detection result. If\n * no argument was passed the position of the face landmarks are assumed to be relative to\n * it's current shift.\n * @returns The bounding box of the aligned face.\n */\n public align(\n detection?: FaceDetection | IRect | IBoundingBox | null,\n options: { useDlibAlignment?: boolean, minBoxPadding?: number } = { },\n ): Box {\n if (detection) {\n const box = detection instanceof FaceDetection\n ? detection.box.floor()\n : new Box(detection);\n\n return this.shiftBy(box.x, box.y).align(null, options);\n }\n\n const { useDlibAlignment, minBoxPadding } = { useDlibAlignment: false, minBoxPadding: 0.2, ...options };\n\n if (useDlibAlignment) {\n return this.alignDlib();\n }\n\n return this.alignMinBbox(minBoxPadding);\n }\n\n private alignDlib(): Box {\n const centers = this.getRefPointsForAlignment();\n\n const [leftEyeCenter, rightEyeCenter, mouthCenter] = centers;\n const distToMouth = (pt: Point) => mouthCenter.sub(pt).magnitude();\n const eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;\n\n const size = Math.floor(eyeToMouthDist / relScale);\n\n const refPoint = getCenterPoint(centers);\n // TODO: pad in case rectangle is out of image bounds\n const x = Math.floor(Math.max(0, refPoint.x - (relX * size)));\n const y = Math.floor(Math.max(0, refPoint.y - (relY * size)));\n\n return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));\n }\n\n private alignMinBbox(padding: number): Box {\n const box = minBbox(this.positions);\n return box.pad(box.width * padding, box.height * padding);\n }\n\n protected getRefPointsForAlignment(): Point[] {\n throw new Error('getRefPointsForAlignment not implemented by base class');\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks5 extends FaceLandmarks {\n protected override getRefPointsForAlignment(): Point[] {\n const pts = this.positions;\n return [\n pts[0],\n pts[1],\n getCenterPoint([pts[3], pts[4]]),\n ];\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks68 extends FaceLandmarks {\n public getJawOutline(): Point[] {\n return this.positions.slice(0, 17);\n }\n\n public getLeftEyeBrow(): Point[] {\n return this.positions.slice(17, 22);\n }\n\n public getRightEyeBrow(): Point[] {\n return this.positions.slice(22, 27);\n }\n\n public getNose(): Point[] {\n return this.positions.slice(27, 36);\n }\n\n public getLeftEye(): Point[] {\n return this.positions.slice(36, 42);\n }\n\n public getRightEye(): Point[] {\n return this.positions.slice(42, 48);\n }\n\n public getMouth(): Point[] {\n return this.positions.slice(48, 68);\n }\n\n protected override getRefPointsForAlignment(): Point[] {\n return [\n this.getLeftEye(),\n this.getRightEye(),\n this.getMouth(),\n ].map(getCenterPoint);\n }\n}\n", "import { round } from '../utils/index';\n\nexport interface IFaceMatch {\n label: string\n distance: number\n}\n\nexport class FaceMatch implements IFaceMatch {\n private _label: string;\n private _distance: number;\n\n constructor(label: string, distance: number) {\n this._label = label;\n this._distance = distance;\n }\n\n public get label(): string { return this._label; }\n\n public get distance(): number { return this._distance; }\n\n public toString(withDistance = true): string {\n return `${this.label}${withDistance ? ` (${round(this.distance)})` : ''}`;\n }\n}\n", "import { isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { IRect } from './Rect';\n\nexport class LabeledBox extends Box {\n public static assertIsValidLabeledBox(box: any, callee: string) {\n Box.assertIsValidBox(box, callee);\n if (!isValidNumber(box.label)) {\n throw new Error(`${callee} - expected property label (${box.label}) to be a number`);\n }\n }\n\n private _label: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number) {\n super(box);\n this._label = label;\n }\n\n public get label(): number { return this._label; }\n}\n", "export class LabeledFaceDescriptors {\n private _label: string;\n\n private _descriptors: Float32Array[];\n\n constructor(label: string, descriptors: Float32Array[]) {\n if (!(typeof label === 'string')) {\n throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');\n }\n\n if (!Array.isArray(descriptors) || descriptors.some((desc) => !(desc instanceof Float32Array))) {\n throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');\n }\n\n this._label = label;\n this._descriptors = descriptors;\n }\n\n public get label(): string { return this._label; }\n\n public get descriptors(): Float32Array[] { return this._descriptors; }\n\n public toJSON(): any {\n return {\n label: this.label,\n descriptors: this.descriptors.map((d) => Array.from(d)),\n };\n }\n\n public static fromJSON(json: any): LabeledFaceDescriptors {\n const descriptors = json.descriptors.map((d: any) => new Float32Array(d));\n return new LabeledFaceDescriptors(json.label, descriptors);\n }\n}\n", "import { isValidProbablitiy } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { LabeledBox } from './LabeledBox';\nimport { IRect } from './Rect';\n\nexport class PredictedBox extends LabeledBox {\n public static assertIsValidPredictedBox(box: any, callee: string) {\n LabeledBox.assertIsValidLabeledBox(box, callee);\n\n if (\n !isValidProbablitiy(box.score)\n || !isValidProbablitiy(box.classScore)\n ) {\n throw new Error(`${callee} - expected properties score (${box.score}) and (${box.classScore}) to be a number between [0, 1]`);\n }\n }\n\n private _score: number;\n\n private _classScore: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number, score: number, classScore: number) {\n super(box, label);\n this._score = score;\n this._classScore = classScore;\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\n\nexport type WithFaceDetection = TSource & {\n detection: FaceDetection\n}\n\nexport function isWithFaceDetection(obj: any): obj is WithFaceDetection<{}> {\n return obj.detection instanceof FaceDetection;\n}\n\nexport function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection {\n const extension = { detection };\n return { ...sourceObj, ...extension };\n}\n", "import { Environment } from './types';\n\nexport function createBrowserEnv(): Environment {\n const fetch = window.fetch;\n if (!fetch) throw new Error('fetch - missing fetch implementation for browser environment');\n\n const readFile = () => {\n throw new Error('readFile - filesystem not available for browser environment');\n };\n\n return {\n Canvas: HTMLCanvasElement,\n CanvasRenderingContext2D,\n Image: HTMLImageElement,\n ImageData,\n Video: HTMLVideoElement,\n createCanvasElement: () => document.createElement('canvas'),\n createImageElement: () => document.createElement('img'),\n createVideoElement: () => document.createElement('video'),\n fetch,\n readFile,\n };\n}\n", "export function isNodejs(): boolean {\n return typeof global === 'object'\n && typeof process !== 'undefined'\n && process.versions != null\n && process.versions.node != null;\n}\n", "import { FileSystem } from './types';\nimport { isNodejs } from './isNodejs';\n\nexport function createFileSystem(fs?: any): FileSystem {\n let requireFsError = '';\n if (!fs && isNodejs()) {\n try {\n // eslint-disable-next-line global-require\n fs = require('fs');\n } catch (err) {\n requireFsError = (err as any).toString();\n }\n }\n\n const readFile = fs\n ? (filePath: string) => new Promise((resolve, reject) => { fs.readFile(filePath, (err: any, buffer) => (err ? reject(err) : resolve(buffer))); })\n : () => { throw new Error(`readFile - failed to require fs in nodejs environment with error: ${requireFsError}`); };\n return { readFile };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { createFileSystem } from './createFileSystem';\nimport { Environment } from './types';\n\nexport function createNodejsEnv(): Environment {\n // eslint-disable-next-line dot-notation\n const Canvas = global['Canvas'] || global.HTMLCanvasElement;\n const Image = global.Image || global.HTMLImageElement;\n // eslint-disable-next-line dot-notation\n const Video = global['Video'] || global.HTMLVideoElement;\n\n const createCanvasElement = () => {\n if (Canvas) return new Canvas();\n throw new Error('createCanvasElement - missing Canvas implementation for nodejs environment');\n };\n\n const createImageElement = () => {\n if (Image) return new Image();\n throw new Error('createImageElement - missing Image implementation for nodejs environment');\n };\n\n const createVideoElement = () => {\n if (Video) return new Video();\n throw new Error('createVideoElement - missing Video implementation for nodejs environment');\n };\n\n const fetch = global.fetch;\n // if (!fetch) throw new Error('fetch - missing fetch implementation for nodejs environment');\n\n const fileSystem = createFileSystem();\n\n return {\n Canvas: Canvas || class {},\n CanvasRenderingContext2D: global.CanvasRenderingContext2D || class {},\n Image: Image || class {},\n ImageData: global.ImageData || class {},\n Video: global.HTMLVideoElement || class {},\n createCanvasElement,\n createImageElement,\n createVideoElement,\n fetch,\n ...fileSystem,\n };\n}\n", "export function isBrowser(): boolean {\n return typeof window === 'object'\n && typeof document !== 'undefined'\n && typeof HTMLImageElement !== 'undefined'\n && typeof HTMLCanvasElement !== 'undefined'\n && typeof HTMLVideoElement !== 'undefined'\n && typeof ImageData !== 'undefined'\n && typeof CanvasRenderingContext2D !== 'undefined';\n}\n", "import { createBrowserEnv } from './createBrowserEnv';\nimport { createFileSystem } from './createFileSystem';\nimport { createNodejsEnv } from './createNodejsEnv';\nimport { isBrowser } from './isBrowser';\nimport { isNodejs } from './isNodejs';\nimport { Environment } from './types';\n\nlet environment: Environment | null;\n\nfunction getEnv(): Environment {\n if (!environment) {\n throw new Error('getEnv - environment is not defined, check isNodejs() and isBrowser()');\n }\n return environment;\n}\n\nfunction setEnv(env: Environment) {\n environment = env;\n}\n\nfunction initialize() {\n // check for isBrowser() first to prevent electron renderer process\n // to be initialized with wrong environment due to isNodejs() returning true\n if (isBrowser()) return setEnv(createBrowserEnv());\n if (isNodejs()) return setEnv(createNodejsEnv());\n return null;\n}\n\nfunction monkeyPatch(env: Partial) {\n if (!environment) {\n initialize();\n }\n\n if (!environment) {\n throw new Error('monkeyPatch - environment is not defined, check isNodejs() and isBrowser()');\n }\n\n const { Canvas = environment.Canvas, Image = environment.Image } = env;\n environment.Canvas = Canvas;\n environment.Image = Image;\n environment.createCanvasElement = env.createCanvasElement || (() => new Canvas());\n environment.createImageElement = env.createImageElement || (() => new Image());\n\n environment.ImageData = env.ImageData || environment.ImageData;\n environment.Video = env.Video || environment.Video;\n environment.fetch = env.fetch || environment.fetch;\n environment.readFile = env.readFile || environment.readFile;\n}\n\nexport const env = {\n getEnv,\n setEnv,\n initialize,\n createBrowserEnv,\n createFileSystem,\n createNodejsEnv,\n monkeyPatch,\n isBrowser,\n isNodejs,\n};\n\ninitialize();\n\nexport * from './types';\n", "import { env } from '../env/index';\n\nexport function resolveInput(arg: string | any) {\n if (!env.isNodejs() && typeof arg === 'string') {\n return document.getElementById(arg);\n }\n return arg;\n}\n", "import { env } from '../env/index';\nimport { resolveInput } from './resolveInput';\n\nexport function getContext2dOrThrow(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D): CanvasRenderingContext2D {\n const { Canvas, CanvasRenderingContext2D } = env.getEnv();\n\n if (canvasArg instanceof CanvasRenderingContext2D) {\n return canvasArg;\n }\n\n const canvas = resolveInput(canvasArg);\n\n if (!(canvas instanceof Canvas)) {\n throw new Error('resolveContext2d - expected canvas to be of instance of Canvas');\n }\n\n const ctx = canvas.getContext('2d');\n if (!ctx) {\n throw new Error('resolveContext2d - canvas 2d context is null');\n }\n\n return ctx;\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IDimensions, IPoint } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { resolveInput } from '../dom/resolveInput';\n\n// eslint-disable-next-line no-shadow\nexport enum AnchorPosition {\n // eslint-disable-next-line no-unused-vars\n TOP_LEFT = 'TOP_LEFT',\n // eslint-disable-next-line no-unused-vars\n TOP_RIGHT = 'TOP_RIGHT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_LEFT = 'BOTTOM_LEFT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_RIGHT = 'BOTTOM_RIGHT'\n}\n\nexport interface IDrawTextFieldOptions {\n anchorPosition?: AnchorPosition\n backgroundColor?: string\n fontColor?: string\n fontSize?: number\n fontStyle?: string\n padding?: number\n}\n\nexport class DrawTextFieldOptions implements IDrawTextFieldOptions {\n public anchorPosition: AnchorPosition;\n\n public backgroundColor: string;\n\n public fontColor: string;\n\n public fontSize: number;\n\n public fontStyle: string;\n\n public padding: number;\n\n constructor(options: IDrawTextFieldOptions = {}) {\n const {\n anchorPosition, backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = options;\n this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT;\n this.backgroundColor = backgroundColor || 'rgba(0, 0, 0, 0.5)';\n this.fontColor = fontColor || 'rgba(255, 255, 255, 1)';\n this.fontSize = fontSize || 14;\n this.fontStyle = fontStyle || 'Georgia';\n this.padding = padding || 4;\n }\n}\n\nexport class DrawTextField {\n public text: string[];\n\n public anchor : IPoint;\n\n public options: DrawTextFieldOptions;\n\n constructor(\n text: string | string[] | DrawTextField,\n anchor: IPoint,\n options: IDrawTextFieldOptions = {},\n ) {\n // eslint-disable-next-line no-nested-ternary\n this.text = typeof text === 'string'\n ? [text]\n : (text instanceof DrawTextField ? text.text : text);\n this.anchor = anchor;\n this.options = new DrawTextFieldOptions(options);\n }\n\n measureWidth(ctx: CanvasRenderingContext2D): number {\n const { padding } = this.options;\n return this.text.map((l) => ctx.measureText(l).width).reduce((w0, w1) => (w0 < w1 ? w1 : w0), 0) + (2 * padding);\n }\n\n measureHeight(): number {\n const { fontSize, padding } = this.options;\n return this.text.length * fontSize + (2 * padding);\n }\n\n getUpperLeft(ctx: CanvasRenderingContext2D, canvasDims?: IDimensions): IPoint {\n const { anchorPosition } = this.options;\n const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT;\n const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT;\n\n const textFieldWidth = this.measureWidth(ctx);\n const textFieldHeight = this.measureHeight();\n const x = (isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x);\n const y = isShiftTop ? this.anchor.y - textFieldHeight : this.anchor.y;\n\n // adjust anchor if text box exceeds canvas borders\n if (canvasDims) {\n const { width, height } = canvasDims;\n const newX = Math.max(Math.min(x, width - textFieldWidth), 0);\n const newY = Math.max(Math.min(y, height - textFieldHeight), 0);\n return { x: newX, y: newY };\n }\n return { x, y };\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const canvas = resolveInput(canvasArg);\n const ctx = getContext2dOrThrow(canvas);\n\n const {\n backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = this.options;\n\n ctx.font = `${fontSize}px ${fontStyle}`;\n const maxTextWidth = this.measureWidth(ctx);\n const textHeight = this.measureHeight();\n\n ctx.fillStyle = backgroundColor;\n const upperLeft = this.getUpperLeft(ctx, canvas);\n ctx.fillRect(upperLeft.x, upperLeft.y, maxTextWidth, textHeight);\n\n ctx.fillStyle = fontColor;\n this.text.forEach((textLine, i) => {\n const x = padding + upperLeft.x;\n const y = padding + upperLeft.y + ((i + 1) * fontSize);\n ctx.fillText(textLine, x, y);\n });\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { Box, IBoundingBox, IRect } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { AnchorPosition, DrawTextField, DrawTextFieldOptions, IDrawTextFieldOptions } from './DrawTextField';\n\nexport interface IDrawBoxOptions {\n boxColor?: string\n lineWidth?: number\n drawLabelOptions?: IDrawTextFieldOptions\n label?: string\n}\n\nexport class DrawBoxOptions {\n public boxColor: string;\n\n public lineWidth: number;\n\n public drawLabelOptions: DrawTextFieldOptions;\n\n public label?: string;\n\n constructor(options: IDrawBoxOptions = {}) {\n const {\n boxColor, lineWidth, label, drawLabelOptions,\n } = options;\n this.boxColor = boxColor || 'rgba(0, 0, 255, 1)';\n this.lineWidth = lineWidth || 2;\n this.label = label;\n\n const defaultDrawLabelOptions = {\n anchorPosition: AnchorPosition.BOTTOM_LEFT,\n backgroundColor: this.boxColor,\n };\n this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });\n }\n}\n\nexport class DrawBox {\n public box: Box;\n\n public options: DrawBoxOptions;\n\n constructor(\n box: IBoundingBox | IRect,\n options: IDrawBoxOptions = {},\n ) {\n this.box = new Box(box);\n this.options = new DrawBoxOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const { boxColor, lineWidth } = this.options;\n\n const {\n x, y, width, height,\n } = this.box;\n ctx.strokeStyle = boxColor;\n ctx.lineWidth = lineWidth;\n ctx.strokeRect(x, y, width, height);\n\n const { label } = this.options;\n if (label) {\n new DrawTextField([label], { x: x - (lineWidth / 2), y }, this.options.drawLabelOptions).draw(canvasArg);\n }\n }\n}\n", "import { Box, IBoundingBox, IRect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { round } from '../utils/index';\nimport { DrawBox } from './DrawBox';\n\nexport type TDrawDetectionsInput = IRect | IBoundingBox | FaceDetection | WithFaceDetection<{}>\n\nexport function drawDetections(\n canvasArg: string | HTMLCanvasElement,\n detections: TDrawDetectionsInput | Array,\n) {\n const detectionsArray = Array.isArray(detections) ? detections : [detections];\n\n detectionsArray.forEach((det) => {\n // eslint-disable-next-line no-nested-ternary\n const score = det instanceof FaceDetection\n ? det.score\n : (isWithFaceDetection(det) ? det.detection.score : undefined);\n\n // eslint-disable-next-line no-nested-ternary\n const box = det instanceof FaceDetection\n ? det.box\n : (isWithFaceDetection(det) ? det.detection.box : new Box(det));\n\n const label = score ? `${round(score)}` : undefined;\n new DrawBox(box, { label }).draw(canvasArg);\n });\n}\n", "import { env } from '../env/index';\n\nexport function isMediaLoaded(media: HTMLImageElement | HTMLVideoElement) : boolean {\n const { Image, Video } = env.getEnv();\n\n return (media instanceof Image && media.complete)\n || (media instanceof Video && media.readyState >= 3);\n}\n", "import { env } from '../env/index';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function awaitMediaLoaded(media: HTMLImageElement | HTMLVideoElement | HTMLCanvasElement) {\n // eslint-disable-next-line consistent-return\n return new Promise((resolve, reject) => {\n if (media instanceof env.getEnv().Canvas || isMediaLoaded(media)) resolve(null);\n\n function onError(e: Event) {\n if (!e.currentTarget) return;\n // eslint-disable-next-line no-use-before-define\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n reject(e);\n }\n\n function onLoad(e: Event) {\n if (!e.currentTarget) return;\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n resolve(e);\n }\n\n media.addEventListener('load', onLoad);\n media.addEventListener('error', onError);\n });\n}\n", "import { env } from '../env/index';\n\nexport function bufferToImage(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToImage - expected buf to be of type: Blob'));\n const reader = new FileReader();\n reader.onload = () => {\n if (typeof reader.result !== 'string') reject(new Error('bufferToImage - expected reader.result to be a string, in onload'));\n const img = env.getEnv().createImageElement();\n img.onload = () => resolve(img);\n img.onerror = reject;\n img.src = reader.result as string;\n };\n reader.onerror = reject;\n reader.readAsDataURL(buf);\n });\n}\n", "import { Dimensions, IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\n\nexport function getMediaDimensions(input: HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | IDimensions): Dimensions {\n const { Image, Video } = env.getEnv();\n\n if (input instanceof Image) {\n return new Dimensions(input.naturalWidth, input.naturalHeight);\n }\n if (input instanceof Video) {\n return new Dimensions(input.videoWidth, input.videoHeight);\n }\n return new Dimensions(input.width, input.height);\n}\n", "import { IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function createCanvas({ width, height }: IDimensions): HTMLCanvasElement {\n const { createCanvasElement } = env.getEnv();\n const canvas = createCanvasElement();\n canvas.width = width;\n canvas.height = height;\n return canvas;\n}\n\nexport function createCanvasFromMedia(media: HTMLImageElement | HTMLVideoElement | ImageData, dims?: IDimensions): HTMLCanvasElement {\n const { ImageData } = env.getEnv();\n\n if (!(media instanceof ImageData) && !isMediaLoaded(media)) {\n throw new Error('createCanvasFromMedia - media has not finished loading yet');\n }\n\n const { width, height } = dims || getMediaDimensions(media);\n const canvas = createCanvas({ width, height });\n\n if (media instanceof ImageData) {\n getContext2dOrThrow(canvas).putImageData(media, 0, 0);\n } else {\n getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);\n }\n return canvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { env } from '../env/index';\nimport { isTensor4D } from '../utils/index';\n\nexport async function imageTensorToCanvas(\n imgTensor: tf.Tensor,\n canvas?: HTMLCanvasElement,\n): Promise {\n const targetCanvas = canvas || env.getEnv().createCanvasElement();\n\n const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);\n const imgTensor3D = tf.tidy(() => imgTensor.as3D(height, width, numChannels).toInt());\n await tf['browser'].toPixels(imgTensor3D, targetCanvas);\n\n imgTensor3D.dispose();\n\n return targetCanvas;\n}\n", "import { env } from '../env/index';\n\nexport function isMediaElement(input: any) {\n const { Image, Canvas, Video } = env.getEnv();\n\n return input instanceof Image\n || input instanceof Canvas\n || input instanceof Video;\n}\n", "import { env } from '../env/index';\nimport { createCanvas, createCanvasFromMedia } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function imageToSquare(input: HTMLImageElement | HTMLCanvasElement, inputSize: number, centerImage = false) {\n const { Image, Canvas } = env.getEnv();\n\n if (!(input instanceof Image || input instanceof Canvas)) {\n throw new Error('imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement');\n }\n\n if (inputSize <= 0) return createCanvas({ width: 1, height: 1 });\n const dims = getMediaDimensions(input);\n const scale = inputSize / Math.max(dims.height, dims.width);\n const width = scale * dims.width;\n const height = scale * dims.height;\n\n const targetCanvas = createCanvas({ width: inputSize, height: inputSize });\n const inputCanvas = input instanceof Canvas ? input : createCanvasFromMedia(input);\n\n const offset = Math.abs(width - height) / 2;\n const dx = centerImage && width < height ? offset : 0;\n const dy = centerImage && height < width ? offset : 0;\n if (inputCanvas.width > 0 && inputCanvas.height > 0) getContext2dOrThrow(targetCanvas).drawImage(inputCanvas, dx, dy, width, height);\n\n return targetCanvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Dimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { padToSquare } from '../ops/padToSquare';\nimport { computeReshapedDimensions, isTensor3D, isTensor4D, range } from '../utils/index';\nimport { createCanvasFromMedia } from './createCanvas';\nimport { imageToSquare } from './imageToSquare';\nimport { TResolvedNetInput } from './types';\n\nexport class NetInput {\n private _imageTensors: Array = [];\n\n private _canvases: HTMLCanvasElement[] = [];\n\n private _batchSize: number;\n\n private _treatAsBatchInput = false;\n\n private _inputDimensions: number[][] = [];\n\n private _inputSize = 0;\n\n constructor(inputs: Array, treatAsBatchInput = false) {\n if (!Array.isArray(inputs)) {\n throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${inputs}`);\n }\n\n this._treatAsBatchInput = treatAsBatchInput;\n this._batchSize = inputs.length;\n\n inputs.forEach((input, idx) => {\n if (isTensor3D(input)) {\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = input.shape;\n return;\n }\n\n if (isTensor4D(input)) {\n const batchSize = (input as any).shape[0];\n if (batchSize !== 1) {\n throw new Error(`NetInput - tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = (input as any).shape.slice(1);\n return;\n }\n\n // @ts-ignore\n const canvas = (input as any) instanceof env.getEnv().Canvas ? input : createCanvasFromMedia(input);\n this._canvases[idx] = canvas as HTMLCanvasElement;\n this._inputDimensions[idx] = [canvas.height, canvas.width, 3];\n });\n }\n\n public get imageTensors(): Array {\n return this._imageTensors;\n }\n\n public get canvases(): HTMLCanvasElement[] {\n return this._canvases;\n }\n\n public get isBatchInput(): boolean {\n return this.batchSize > 1 || this._treatAsBatchInput;\n }\n\n public get batchSize(): number {\n return this._batchSize;\n }\n\n public get inputDimensions(): number[][] {\n return this._inputDimensions;\n }\n\n public get inputSize(): number | undefined {\n return this._inputSize;\n }\n\n public get reshapedInputDimensions(): Dimensions[] {\n return range(this.batchSize, 0, 1).map(\n (_, batchIdx) => this.getReshapedInputDimensions(batchIdx),\n );\n }\n\n public getInput(batchIdx: number): tf.Tensor3D | tf.Tensor4D | HTMLCanvasElement {\n return this.canvases[batchIdx] || this.imageTensors[batchIdx];\n }\n\n public getInputDimensions(batchIdx: number): number[] {\n return this._inputDimensions[batchIdx];\n }\n\n public getInputHeight(batchIdx: number): number {\n return this._inputDimensions[batchIdx][0];\n }\n\n public getInputWidth(batchIdx: number): number {\n return this._inputDimensions[batchIdx][1];\n }\n\n public getReshapedInputDimensions(batchIdx: number): Dimensions {\n if (typeof this.inputSize !== 'number') {\n throw new Error('getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet');\n }\n\n const width = this.getInputWidth(batchIdx);\n const height = this.getInputHeight(batchIdx);\n return computeReshapedDimensions({ width, height }, this.inputSize);\n }\n\n /**\n * Create a batch tensor from all input canvases and tensors\n * with size [batchSize, inputSize, inputSize, 3].\n *\n * @param inputSize Height and width of the tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The batch tensor.\n */\n public toBatchTensor(inputSize: number, isCenterInputs = true): tf.Tensor4D {\n this._inputSize = inputSize;\n\n return tf.tidy(() => {\n const inputTensors = range(this.batchSize, 0, 1).map((batchIdx) => {\n const input = this.getInput(batchIdx);\n\n if (input instanceof tf.Tensor) {\n let imgTensor = isTensor4D(input) ? input : tf.expandDims(input);\n imgTensor = padToSquare(imgTensor as tf.Tensor4D, isCenterInputs);\n\n if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {\n imgTensor = tf['image'].resizeBilinear(imgTensor as tf.Tensor4D, [inputSize, inputSize], false, false);\n }\n\n return imgTensor.as3D(inputSize, inputSize, 3);\n }\n\n if (input instanceof env.getEnv().Canvas) {\n return tf['browser'].fromPixels(imageToSquare(input, inputSize, isCenterInputs));\n }\n\n throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);\n });\n\n const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3);\n // const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))) as tf.Tensor4D;\n\n return batchTensor;\n });\n }\n}\n", "import { isTensor3D, isTensor4D } from '../utils/index';\nimport { awaitMediaLoaded } from './awaitMediaLoaded';\nimport { isMediaElement } from './isMediaElement';\nimport { NetInput } from './NetInput';\nimport { resolveInput } from './resolveInput';\nimport { TNetInput } from './types';\n\n/**\n * Validates the input to make sure, they are valid net inputs and awaits all media elements\n * to be finished loading.\n *\n * @param input The input, which can be a media element or an array of different media elements.\n * @returns A NetInput instance, which can be passed into one of the neural networks.\n */\nexport async function toNetInput(inputs: TNetInput): Promise {\n if (inputs instanceof NetInput) return inputs;\n const inputArgArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArgArray.length) throw new Error('toNetInput - empty array passed as input');\n const getIdxHint = (idx: number) => (Array.isArray(inputs) ? ` at input index ${idx}:` : '');\n const inputArray = inputArgArray.map(resolveInput);\n inputArray.forEach((input, i) => {\n if (!isMediaElement(input) && !isTensor3D(input) && !isTensor4D(input)) {\n if (typeof inputArgArray[i] === 'string') throw new Error(`toNetInput -${getIdxHint(i)} string passed, but could not resolve HTMLElement for element id ${inputArgArray[i]}`);\n throw new Error(`toNetInput -${getIdxHint(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);\n }\n if (isTensor4D(input)) {\n // if tf.Tensor4D is passed in the input array, the batch size has to be 1\n const batchSize = input.shape[0];\n if (batchSize !== 1) throw new Error(`toNetInput -${getIdxHint(i)} tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n });\n // wait for all media elements being loaded\n await Promise.all(inputArray.map((input) => isMediaElement(input) && awaitMediaLoaded(input)));\n return new NetInput(inputArray, Array.isArray(inputs));\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { Rect } from '../classes/Rect';\nimport { env } from '../env/index';\nimport { createCanvas } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { imageTensorToCanvas } from './imageTensorToCanvas';\nimport { toNetInput } from './toNetInput';\nimport { TNetInput } from './types';\n\n/**\n * Extracts the image regions containing the detected faces.\n *\n * @param input The image that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns The Canvases of the corresponding image region for each detected face.\n */\nexport async function extractFaces(input: TNetInput, detections: Array): Promise {\n const { Canvas } = env.getEnv();\n let canvas = input as HTMLCanvasElement;\n if (!(input instanceof Canvas)) {\n const netInput = await toNetInput(input);\n if (netInput.batchSize > 1) throw new Error('extractFaces - batchSize > 1 not supported');\n const tensorOrCanvas = netInput.getInput(0);\n canvas = tensorOrCanvas instanceof Canvas ? tensorOrCanvas : await imageTensorToCanvas(tensorOrCanvas);\n }\n const ctx = getContext2dOrThrow(canvas);\n const boxes = detections\n .map((det) => (det instanceof FaceDetection ? det.forSize(canvas.width, canvas.height).box.floor() : det))\n .map((box) => box.clipAtImageBorders(canvas.width, canvas.height));\n return boxes.map(({ x, y, width, height }) => {\n const faceImg = createCanvas({ width, height });\n if (width > 0 && height > 0) getContext2dOrThrow(faceImg).putImageData(ctx.getImageData(x, y, width, height), 0, 0);\n return faceImg;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isTensor3D, isTensor4D } from '../utils/index';\n\n/**\n * Extracts the tensors of the image regions containing the detected faces.\n * Useful if you want to compute the face descriptors for the face images.\n * Using this method is faster then extracting a canvas for each face and\n * converting them to tensors individually.\n *\n * @param imageTensor The image tensor that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns Tensors of the corresponding image region for each detected face.\n */\nexport async function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise {\n if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {\n throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');\n }\n\n if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {\n throw new Error('extractFaceTensors - batchSize > 1 not supported');\n }\n\n return tf.tidy(() => {\n const [imgHeight, imgWidth, numChannels] = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0);\n const boxes = detections.map((det) => (det instanceof FaceDetection ? det.forSize(imgWidth, imgHeight).box : det))\n .map((box) => box.clipAtImageBorders(imgWidth, imgHeight));\n const faceTensors = boxes\n .filter((box) => box.width > 0 && box.height > 0)\n .map(({ x, y, width, height }) => tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]));\n return faceTensors;\n });\n}\n", "import { env } from '../env/index';\n\nexport async function fetchOrThrow(\n url: string,\n // eslint-disable-next-line no-undef\n init?: RequestInit,\n): Promise {\n const { fetch } = env.getEnv();\n const res = await fetch(url, init);\n if (!(res.status < 400)) {\n throw new Error(`failed to fetch: (${res.status}) ${res.statusText}, from url: ${res.url}`);\n }\n return res;\n}\n", "import { bufferToImage } from './bufferToImage';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchImage(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('image/')) {\n throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToImage(blob);\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchJson(uri: string): Promise {\n return (await fetchOrThrow(uri)).json();\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchNetWeights(uri: string): Promise {\n return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());\n}\n", "import { env } from '../env/index';\n\nexport function bufferToVideo(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToVideo - expected buf to be of type: Blob'));\n\n const video = env.getEnv().createVideoElement();\n video.oncanplay = () => resolve(video);\n video.onerror = reject;\n video.playsInline = true;\n video.muted = true;\n video.src = URL.createObjectURL(buf);\n video.play();\n });\n}\n", "import { bufferToVideo } from './bufferToVideo';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchVideo(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('video/')) {\n throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToVideo(blob);\n}\n", "export function getModelUris(uri: string | undefined, defaultModelName: string) {\n const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;\n\n if (!uri) {\n return {\n modelBaseUri: '',\n manifestUri: defaultManifestFilename,\n };\n }\n\n if (uri === '/') {\n return {\n modelBaseUri: '/',\n manifestUri: `/${defaultManifestFilename}`,\n };\n }\n // eslint-disable-next-line no-nested-ternary\n const protocol = uri.startsWith('http://') ? 'http://' : uri.startsWith('https://') ? 'https://' : '';\n uri = uri.replace(protocol, '');\n\n const parts = uri.split('/').filter((s) => s);\n\n const manifestFile = uri.endsWith('.json')\n ? parts[parts.length - 1]\n : defaultManifestFilename;\n\n let modelBaseUri = protocol + (uri.endsWith('.json') ? parts.slice(0, parts.length - 1) : parts).join('/');\n modelBaseUri = uri.startsWith('/') ? `/${modelBaseUri}` : modelBaseUri;\n\n return {\n modelBaseUri,\n manifestUri: modelBaseUri === '/' ? `/${manifestFile}` : `${modelBaseUri}/${manifestFile}`,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { getModelUris } from '../common/getModelUris';\nimport { fetchJson } from './fetchJson';\n\nexport async function loadWeightMap(\n uri: string | undefined,\n defaultModelName: string,\n): Promise {\n const { manifestUri, modelBaseUri } = getModelUris(uri, defaultModelName);\n // @ts-ignore\n const manifest = await fetchJson(manifestUri);\n // if (manifest['weightsManifest']) manifest = manifest['weightsManifest'];\n return tf['io'].loadWeights(manifest, modelBaseUri);\n}\n", "import { IDimensions } from '../classes/index';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function matchDimensions(input: IDimensions, reference: IDimensions, useMediaDimensions = false) {\n const { width, height } = useMediaDimensions\n ? getMediaDimensions(reference)\n : reference;\n input.width = width;\n input.height = height;\n return { width, height };\n}\n", "import * as tf from '../dist/tfjs.esm';\n\nimport { ParamMapping } from './common/index';\nimport { getModelUris } from './common/getModelUris';\nimport { loadWeightMap } from './dom/index';\nimport { env } from './env/index';\n\nexport abstract class NeuralNetwork {\n constructor(name: string) {\n this._name = name;\n }\n\n protected _params: TNetParams | undefined = undefined;\n\n protected _paramMappings: ParamMapping[] = [];\n\n public _name: any;\n\n public get params(): TNetParams | undefined { return this._params; }\n\n public get paramMappings(): ParamMapping[] { return this._paramMappings; }\n\n public get isLoaded(): boolean { return !!this.params; }\n\n public getParamFromPath(paramPath: string): tf.Tensor {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n return obj[objProp];\n }\n\n public reassignParamFromPath(paramPath: string, tensor: tf.Tensor) {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n obj[objProp].dispose();\n obj[objProp] = tensor;\n }\n\n public getParamList() {\n return this._paramMappings.map(({ paramPath }) => ({\n path: paramPath,\n tensor: this.getParamFromPath(paramPath),\n }));\n }\n\n public getTrainableParams() {\n return this.getParamList().filter((param) => param.tensor instanceof tf.Variable);\n }\n\n public getFrozenParams() {\n return this.getParamList().filter((param) => !(param.tensor instanceof tf.Variable));\n }\n\n public variable() {\n this.getFrozenParams().forEach(({ path, tensor }) => {\n this.reassignParamFromPath(path, tensor.variable());\n });\n }\n\n public freeze() {\n this.getTrainableParams().forEach(({ path, tensor: variable }) => {\n const tensor = tf.tensor(variable.dataSync());\n variable.dispose();\n this.reassignParamFromPath(path, tensor);\n });\n }\n\n public dispose(throwOnRedispose = true) {\n this.getParamList().forEach((param) => {\n if (throwOnRedispose && param.tensor.isDisposed) {\n throw new Error(`param tensor has already been disposed for path ${param.path}`);\n }\n param.tensor.dispose();\n });\n this._params = undefined;\n }\n\n public serializeParams(): Float32Array {\n return new Float32Array(\n this.getParamList()\n .map(({ tensor }) => Array.from(tensor.dataSync()) as number[])\n .reduce((flat, arr) => flat.concat(arr)),\n );\n }\n\n public async load(weightsOrUrl: Float32Array | string | undefined): Promise {\n if (weightsOrUrl instanceof Float32Array) {\n this.extractWeights(weightsOrUrl);\n return;\n }\n await this.loadFromUri(weightsOrUrl);\n }\n\n public async loadFromUri(uri: string | undefined) {\n if (uri && typeof uri !== 'string') {\n throw new Error(`${this._name}.loadFromUri - expected model uri`);\n }\n const weightMap = await loadWeightMap(uri, this.getDefaultModelName());\n this.loadFromWeightMap(weightMap);\n }\n\n public async loadFromDisk(filePath: string | undefined) {\n if (filePath && typeof filePath !== 'string') {\n throw new Error(`${this._name}.loadFromDisk - expected model file path`);\n }\n const { readFile } = env.getEnv();\n const { manifestUri, modelBaseUri } = getModelUris(filePath, this.getDefaultModelName());\n const fetchWeightsFromDisk = (filePaths: string[]) => Promise.all(filePaths.map((fp) => readFile(fp).then((buf) => buf.buffer)));\n const loadWeights = tf['io'].weightsLoaderFactory(fetchWeightsFromDisk);\n const manifest = JSON.parse((await readFile(manifestUri)).toString());\n const weightMap = await loadWeights(manifest, modelBaseUri);\n this.loadFromWeightMap(weightMap);\n }\n\n public loadFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { paramMappings, params } = this.extractParamsFromWeightMap(weightMap);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n public extractWeights(weights: Float32Array) {\n const { paramMappings, params } = this.extractParams(weights);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n private traversePropertyPath(paramPath: string) {\n if (!this.params) {\n throw new Error('traversePropertyPath - model has no loaded params');\n }\n\n const result = paramPath.split('/').reduce((res: { nextObj: any, obj?: any, objProp?: string }, objProp) => {\n // eslint-disable-next-line no-prototype-builtins\n if (!res.nextObj.hasOwnProperty(objProp)) {\n throw new Error(`traversePropertyPath - object does not have property ${objProp}, for path ${paramPath}`);\n }\n return { obj: res.nextObj, objProp, nextObj: res.nextObj[objProp] };\n }, { nextObj: this.params });\n\n const { obj, objProp } = result;\n if (!obj || !objProp || !(obj[objProp] instanceof tf.Tensor)) {\n throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${paramPath}`);\n }\n\n return { obj, objProp };\n }\n\n protected abstract getDefaultModelName(): string\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TNetParams, paramMappings: ParamMapping[] }\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParams(weights: Float32Array): { params: TNetParams, paramMappings: ParamMapping[] }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from './types';\n\nexport function depthwiseSeparableConv(\n x: tf.Tensor4D,\n params: SeparableConvParams,\n stride: [number, number],\n): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');\n out = tf.add(out, params.bias);\n return out;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, SeparableConvParams } from '../common/index';\nimport { depthwiseSeparableConv } from '../common/depthwiseSeparableConv';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function denseBlock3(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock3Params,\n isFirstLayer = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, [2, 2], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, [2, 2]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n });\n}\n\nexport function denseBlock4(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock4Params,\n isFirstLayer = false,\n isScaleDown = true,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, isScaleDown ? [2, 2] : [1, 1], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, isScaleDown ? [2, 2] : [1, 1]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n const in4 = tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n const out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4)))) as tf.Tensor4D;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\nexport function convLayer(\n x: tf.Tensor4D,\n params: ConvParams,\n padding: 'valid' | 'same' = 'same',\n withRelu = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out = tf.add(\n tf.conv2d(x, params.filters, [1, 1], padding),\n params.bias,\n ) as tf.Tensor4D;\n\n return withRelu ? tf.relu(out) : out;\n });\n}\n", "import { ParamMapping } from './types';\n\nexport function disposeUnusedWeightTensors(weightMap: any, paramMappings: ParamMapping[]) {\n Object.keys(weightMap).forEach((path) => {\n if (!paramMappings.some((pm) => pm.originalPath === path)) {\n weightMap[path].dispose();\n }\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, ExtractWeightsFunction, ParamMapping } from './types';\n\nexport function extractConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams => {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, FCParams, ParamMapping } from './types';\n\nexport function extractFCParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): FCParams => {\n const fc_weights = tf.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);\n const fc_bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return {\n weights: fc_weights,\n bias: fc_bias,\n };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n// eslint-disable-next-line no-unused-vars\nexport type ExtractWeightsFunction = (numWeights: number) => Float32Array\n\nexport type ParamMapping = {\n originalPath?: string\n paramPath: string\n}\n\nexport type ConvParams = {\n filters: tf.Tensor4D\n bias: tf.Tensor1D\n}\n\nexport type FCParams = {\n weights: tf.Tensor2D\n bias: tf.Tensor1D\n}\n\nexport class SeparableConvParams {\n // eslint-disable-next-line no-useless-constructor\n constructor(\n // eslint-disable-next-line no-unused-vars\n public depthwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public pointwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public bias: tf.Tensor1D,\n // eslint-disable-next-line no-empty-function\n ) {}\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, SeparableConvParams } from './types';\n\nexport function extractSeparableConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (channelsIn: number, channelsOut: number, mappedPrefix: string): SeparableConvParams => {\n const depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);\n const pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/depthwise_filter` },\n { paramPath: `${mappedPrefix}/pointwise_filter` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n\nexport function loadSeparableConvParamsFactory(\n // eslint-disable-next-line no-unused-vars\n extractWeightEntry: (originalPath: string, paramRank: number) => T,\n) {\n return (prefix: string): SeparableConvParams => {\n const depthwise_filter = extractWeightEntry(`${prefix}/depthwise_filter`, 4);\n const pointwise_filter = extractWeightEntry(`${prefix}/pointwise_filter`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n", "import { isTensor } from '../utils/index';\nimport { ParamMapping } from './types';\n\nexport function extractWeightEntryFactory(weightMap: any, paramMappings: ParamMapping[]) {\n return (originalPath: string, paramRank: number, mappedPath?: string) => {\n const tensor = weightMap[originalPath];\n\n if (!isTensor(tensor, paramRank)) {\n throw new Error(`expected weightMap[${originalPath}] to be a Tensor${paramRank}D, instead have ${tensor}`);\n }\n\n paramMappings.push(\n { originalPath, paramPath: mappedPath || originalPath },\n );\n\n return tensor;\n };\n}\n", "export function extractWeightsFactory(weights: Float32Array) {\n let remainingWeights = weights;\n\n function extractWeights(numWeights: number): Float32Array {\n const ret = remainingWeights.slice(0, numWeights);\n remainingWeights = remainingWeights.slice(numWeights);\n return ret;\n }\n\n function getRemainingWeights(): Float32Array {\n return remainingWeights;\n }\n\n return {\n extractWeights,\n getRemainingWeights,\n };\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractDenseBlock3Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv0`)\n : extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/conv0`);\n const conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv1`);\n const conv2 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock4Params {\n const { conv0, conv1, conv2 } = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer);\n const conv3 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock4Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock4Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock4Params(64, 128, 'dense2');\n const dense3 = extractDenseBlock4Params(128, 256, 'dense3');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: {\n dense0, dense1, dense2, dense3,\n },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\n// eslint-disable-next-line no-unused-vars\nexport function loadConvParamsFactory(extractWeightEntry: (originalPath: string, paramRank: number) => T) {\n return (prefix: string): ConvParams => {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return { filters, bias };\n };\n}\n", "import { extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractDenseBlock3Params(prefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(prefix: string, isFirstLayer = false): DenseBlock4Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n const conv3 = extractSeparableConvParams(`${prefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock4Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock4Params('dense0', true),\n dense1: extractDenseBlock4Params('dense1'),\n dense2: extractDenseBlock4Params('dense2'),\n dense3: extractDenseBlock4Params('dense3'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock4 } from './denseBlock';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';\n\nexport class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('FaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock4(normalized, params.dense0, true);\n out = denseBlock4(out, params.dense1);\n out = denseBlock4(out, params.dense2);\n out = denseBlock4(out, params.dense3);\n out = tf.avgPool(out, [7, 7], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from './types';\n\nexport function fullyConnectedLayer(\n x: tf.Tensor2D,\n params: FCParams,\n): tf.Tensor2D {\n return tf.tidy(() => tf.add(\n tf.matMul(x, params.weights),\n params.bias,\n ));\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const fc = extractFCParams(channelsIn, channelsOut, 'fc');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: extractFcParams('fc'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function seperateWeightMaps(weightMap: tf.NamedTensorMap) {\n const featureExtractorMap: tf.NamedTensorMap = {};\n const classifierMap: tf.NamedTensorMap = {};\n\n Object.keys(weightMap).forEach((key) => {\n const map = key.startsWith('fc') ? classifierMap : featureExtractorMap;\n map[key] = weightMap[key];\n });\n\n return { featureExtractorMap, classifierMap };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { NetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { NetParams } from './types';\nimport { seperateWeightMaps } from './util';\n\nexport abstract class FaceProcessor<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends NeuralNetwork {\n protected _faceFeatureExtractor: IFaceFeatureExtractor;\n\n constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor) {\n super(_name);\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): IFaceFeatureExtractor {\n return this._faceFeatureExtractor;\n }\n\n protected abstract override getDefaultModelName(): string\n\n protected abstract getClassifierChannelsIn(): number\n\n protected abstract getClassifierChannelsOut(): number\n\n public runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);\n });\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const cIn = this.getClassifierChannelsIn();\n const cOut = this.getClassifierChannelsOut();\n const classifierWeightSize = (cOut * cIn) + cOut;\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "export const FACE_EXPRESSION_LABELS = ['neutral', 'happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'];\n\nexport class FaceExpressions {\n public neutral = 0;\n public happy = 0;\n public sad = 0;\n public angry = 0;\n public fearful = 0;\n public disgusted = 0;\n public surprised = 0;\n\n constructor(probabilities: number[] | Float32Array) {\n if (probabilities.length !== 7) {\n throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${probabilities.length}`);\n }\n\n FACE_EXPRESSION_LABELS.forEach((expression, idx) => {\n this[expression] = probabilities[idx];\n });\n }\n\n asSortedArray() {\n return FACE_EXPRESSION_LABELS\n .map((expression) => ({ expression, probability: this[expression] as number }))\n .sort((e0, e1) => e1.probability - e0.probability);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { FaceExpressions } from './FaceExpressions';\n\nexport class FaceExpressionNet extends FaceProcessor {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceExpressionNet', faceFeatureExtractor);\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n return tf.tidy(() => tf.softmax(this.runNet(input)));\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictExpressions(input: TNetInput) {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n const probabilitesByBatch = await Promise.all(tf.unstack(out).map(async (t) => {\n const data = t.dataSync();\n t.dispose();\n return data;\n }));\n out.dispose();\n\n const predictionsByBatch = probabilitesByBatch\n .map((probabilites) => new FaceExpressions(probabilites as Float32Array));\n\n return netInput.isBatchInput\n ? predictionsByBatch\n : predictionsByBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_expression_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n\n protected getClassifierChannelsOut(): number {\n return 7;\n }\n}\n", "import { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\n\nexport type WithFaceExpressions = TSource & { expressions: FaceExpressions }\n\nexport function isWithFaceExpressions(obj: any): obj is WithFaceExpressions<{}> {\n return obj.expressions instanceof FaceExpressions;\n}\n\nexport function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressions): WithFaceExpressions {\n const extension = { expressions };\n return { ...sourceObj, ...extension };\n}\n", "import { IPoint, Point } from '../classes/index';\nimport { FaceExpressions } from '../faceExpressionNet/index';\nimport { isWithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { round } from '../utils/index';\nimport { DrawTextField } from './DrawTextField';\n\nexport type DrawFaceExpressionsInput = FaceExpressions | WithFaceExpressions<{}>\n\nexport function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | Array, minConfidence = 0.1, textFieldAnchor?: IPoint) {\n const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];\n\n faceExpressionsArray.forEach((e) => {\n // eslint-disable-next-line no-nested-ternary\n const expr = e instanceof FaceExpressions\n ? e\n : (isWithFaceExpressions(e) ? e.expressions : undefined);\n if (!expr) {\n throw new Error('drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof');\n }\n\n const sorted = expr.asSortedArray();\n const resultsToDisplay = sorted.filter((exprLocal) => exprLocal.probability > minConfidence);\n\n const anchor = isWithFaceDetection(e)\n ? e.detection.box.bottomLeft\n : (textFieldAnchor || new Point(0, 0));\n\n const drawTextField = new DrawTextField(\n resultsToDisplay.map((exprLocal) => `${exprLocal.expression} (${round(exprLocal.probability)})`),\n anchor,\n );\n drawTextField.draw(canvasArg);\n });\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { isWithFaceDetection, WithFaceDetection } from './WithFaceDetection';\n\nexport type WithFaceLandmarks<\n TSource extends WithFaceDetection<{}>,\n TFaceLandmarks extends FaceLandmarks = FaceLandmarks68\n> = TSource & {\n landmarks: TFaceLandmarks;\n unshiftedLandmarks: TFaceLandmarks;\n alignedRect: FaceDetection;\n angle: {\n roll: number | undefined;\n pitch: number | undefined;\n yaw: number | undefined;\n };\n};\n\nexport function isWithFaceLandmarks(\n obj: any,\n): obj is WithFaceLandmarks, FaceLandmarks> {\n return (\n isWithFaceDetection(obj)\n // eslint-disable-next-line dot-notation\n && obj['landmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['unshiftedLandmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['alignedRect'] instanceof FaceDetection\n );\n}\n\nfunction calculateFaceAngle(mesh) {\n // Helper to convert radians to degrees\n // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n const degrees = (radians) => (radians * 180) / Math.PI;\n const calcLengthBetweenTwoPoints = (a, b) => Math.sqrt((a._x - b._x) ** 2 + (a._y - b._y) ** 2);\n\n const angle = {\n roll: undefined,\n pitch: undefined,\n yaw: undefined,\n };\n\n const calcYaw = (leftPoint, midPoint, rightPoint) => {\n // Calc x-distance from left side of the face (\"ear\") to facial midpoint (\"nose\")\n const leftToMidpoint = Math.floor(leftPoint._x - midPoint._x);\n // Calc x-distance from facial midpoint (\"nose\") to the right side of the face (\"ear\")\n const rightToMidpoint = Math.floor(midPoint._x - rightPoint._x);\n // Difference in distances coincidentally approximates to angles\n return leftToMidpoint - rightToMidpoint;\n };\n\n const calcRoll = (lever, pivot) => {\n // When rolling, the head seems to pivot from the nose/lips/chin area.\n // So, we'll choose any two points from the facial midline, where the first point should be the pivot, and the other \"lever\"\n // Plan/Execution: get the hypotenuse & opposite sides of a 90deg triangle ==> Calculate angle in radians\n const hypotenuse = Math.hypot(pivot._x - lever._x, pivot._y - lever._y);\n const opposite = pivot._y - lever._y;\n const angleInRadians = Math.asin(opposite / hypotenuse);\n const angleInDegrees = degrees(angleInRadians);\n const normalizeAngle = Math.floor(90 - angleInDegrees);\n // If lever more to the left of the pivot, then we're tilting left\n // \"-\" is negative direction. \"+\", or absence of a sign is positive direction\n const tiltDirection = pivot._x - lever._x < 0 ? -1 : 1;\n const result = normalizeAngle * tiltDirection;\n return result;\n };\n\n const calcPitch = (leftPoint, midPoint, rightPoint) => {\n // Theory: While pitching, the nose is the most salient point --> That's what we'll use to make a trianle.\n // The \"base\" is between point that don't move when we pitch our head (i.e. an imaginary line running ear to ear through the nose).\n // Executuin: Get the opposite & adjacent lengths of the triangle from the ear's perspective. Use it to get angle.\n\n const base = calcLengthBetweenTwoPoints(leftPoint, rightPoint);\n // adjecent is base/2 technically.\n const baseCoords = {\n _x: (leftPoint._x + rightPoint._x) / 2,\n _y: (leftPoint._y + rightPoint._y) / 2,\n };\n const midToBaseLength = calcLengthBetweenTwoPoints(midPoint, baseCoords);\n const angleInRadians = Math.atan(midToBaseLength / base);\n const angleInDegrees = Math.floor(degrees(angleInRadians));\n // Account for directionality.\n // pitch forwards (_i.e. tilting your head forwards) is positive (or no sign); backward is negative.\n const direction = baseCoords._y - midPoint._y < 0 ? -1 : 1;\n const result = angleInDegrees * direction;\n return result;\n };\n\n if (!mesh || !mesh._positions || mesh._positions.length !== 68) return angle;\n const pt = mesh._positions;\n angle.roll = calcRoll(pt[27], pt[66]);\n angle.pitch = calcPitch(pt[14], pt[30], pt[2]);\n angle.yaw = calcYaw(pt[14], pt[33], pt[2]);\n return angle;\n}\n\nexport function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68>(\n sourceObj: TSource,\n unshiftedLandmarks: TFaceLandmarks,\n): WithFaceLandmarks {\n const { box: shift } = sourceObj.detection;\n const landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);\n const rect = landmarks.align();\n const { imageDims } = sourceObj.detection;\n const alignedRect = new FaceDetection(\n sourceObj.detection.score,\n rect.rescale(imageDims.reverse()),\n imageDims,\n );\n const angle = calculateFaceAngle(unshiftedLandmarks);\n const extension = { landmarks, unshiftedLandmarks, alignedRect, angle };\n return { ...sourceObj, ...extension };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IPoint } from '../classes/index';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { drawContour } from './drawContour';\n\nexport interface IDrawFaceLandmarksOptions {\n drawLines?: boolean\n drawPoints?: boolean\n lineWidth?: number\n pointSize?: number\n lineColor?: string\n pointColor?: string\n}\n\nexport class DrawFaceLandmarksOptions {\n public drawLines: boolean;\n\n public drawPoints: boolean;\n\n public lineWidth: number;\n\n public pointSize: number;\n\n public lineColor: string;\n\n public pointColor: string;\n\n constructor(options: IDrawFaceLandmarksOptions = {}) {\n const {\n drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor,\n } = options;\n this.drawLines = drawLines;\n this.drawPoints = drawPoints;\n this.lineWidth = lineWidth || 1;\n this.pointSize = pointSize || 2;\n this.lineColor = lineColor || 'rgba(0, 255, 255, 1)';\n this.pointColor = pointColor || 'rgba(255, 0, 255, 1)';\n }\n}\n\nexport class DrawFaceLandmarks {\n public faceLandmarks: FaceLandmarks;\n\n public options: DrawFaceLandmarksOptions;\n\n constructor(\n faceLandmarks: FaceLandmarks,\n options: IDrawFaceLandmarksOptions = {},\n ) {\n this.faceLandmarks = faceLandmarks;\n this.options = new DrawFaceLandmarksOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const {\n drawLines, drawPoints, lineWidth, lineColor, pointSize, pointColor,\n } = this.options;\n\n if (drawLines && this.faceLandmarks instanceof FaceLandmarks68) {\n ctx.strokeStyle = lineColor;\n ctx.lineWidth = lineWidth;\n drawContour(ctx, this.faceLandmarks.getJawOutline());\n drawContour(ctx, this.faceLandmarks.getLeftEyeBrow());\n drawContour(ctx, this.faceLandmarks.getRightEyeBrow());\n drawContour(ctx, this.faceLandmarks.getNose());\n drawContour(ctx, this.faceLandmarks.getLeftEye(), true);\n drawContour(ctx, this.faceLandmarks.getRightEye(), true);\n drawContour(ctx, this.faceLandmarks.getMouth(), true);\n }\n\n if (drawPoints) {\n ctx.strokeStyle = pointColor;\n ctx.fillStyle = pointColor;\n\n const drawPoint = (pt: IPoint) => {\n ctx.beginPath();\n ctx.arc(pt.x, pt.y, pointSize, 0, 2 * Math.PI);\n ctx.fill();\n };\n this.faceLandmarks.positions.forEach(drawPoint);\n }\n }\n}\n\nexport type DrawFaceLandmarksInput = FaceLandmarks | WithFaceLandmarks>\n\nexport function drawFaceLandmarks(\n canvasArg: string | HTMLCanvasElement,\n faceLandmarks: DrawFaceLandmarksInput | Array,\n) {\n const faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];\n faceLandmarksArray.forEach((f) => {\n // eslint-disable-next-line no-nested-ternary\n const landmarks = f instanceof FaceLandmarks\n ? f\n : (isWithFaceLandmarks(f) ? f.landmarks : undefined);\n if (!landmarks) {\n throw new Error('drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof');\n }\n\n new DrawFaceLandmarks(landmarks).draw(canvasArg);\n });\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, extractWeightsFactory } from '../common/index';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractReductionBlockParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(channels: number, mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParams(weights: Float32Array, numMainBlocks: number): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const entry_flow_conv_in = extractConvParams(3, 32, 3, 'entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams(32, 64, 'entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams(64, 128, 'entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(128, `middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams(128, 256, 'exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams(256, 512, 'exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { entry_flow, middle_flow, exit_flow },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractReductionBlockParams(mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(`${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(`${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n numMainBlocks: number,\n): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const entry_flow_conv_in = extractConvParams('entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams('entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams('entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(`middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams('exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams('exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params: { entry_flow, middle_flow, exit_flow }, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, depthwiseSeparableConv } from '../common/index';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { range } from '../utils/index';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction conv(x: tf.Tensor4D, params: ConvParams, stride: [number, number]): tf.Tensor4D {\n return tf.add(tf.conv2d(x, params.filters, stride, 'same'), params.bias);\n}\n\nfunction reductionBlock(x: tf.Tensor4D, params: ReductionBlockParams, isActivateInput = true): tf.Tensor4D {\n let out = isActivateInput ? tf.relu(x) : x;\n out = depthwiseSeparableConv(out, params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = tf.maxPool(out, [3, 3], [2, 2], 'same');\n out = tf.add(out, conv(x, params.expansion_conv, [2, 2]));\n return out;\n}\n\nfunction mainBlock(x: tf.Tensor4D, params: MainBlockParams): tf.Tensor4D {\n let out = depthwiseSeparableConv(tf.relu(x), params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv2, [1, 1]);\n out = tf.add(out, x);\n return out;\n}\n\nexport class TinyXception extends NeuralNetwork {\n private _numMainBlocks: number;\n\n constructor(numMainBlocks: number) {\n super('TinyXception');\n this._numMainBlocks = numMainBlocks;\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n if (!params) {\n throw new Error('TinyXception - load model before inference');\n }\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n let out = tf.relu(conv(normalized, params.entry_flow.conv_in, [2, 2]));\n out = reductionBlock(out, params.entry_flow.reduction_block_0, false);\n out = reductionBlock(out, params.entry_flow.reduction_block_1);\n range(this._numMainBlocks, 0, 1).forEach((idx) => {\n out = mainBlock(out, params.middle_flow[`main_block_${idx}`]);\n });\n out = reductionBlock(out, params.exit_flow.reduction_block);\n out = tf.relu(depthwiseSeparableConv(out, params.exit_flow.separable_conv, [1, 1]));\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'tiny_xception_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this._numMainBlocks);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights, this._numMainBlocks);\n }\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const age = extractFCParams(512, 1, 'fc/age');\n const gender = extractFCParams(512, 2, 'fc/gender');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc: { age, gender } },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: {\n age: extractFcParams('fc/age'),\n gender: extractFcParams('fc/gender'),\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from '../common/index';\n\n// eslint-disable-next-line no-shadow\nexport enum Gender {\n // eslint-disable-next-line no-unused-vars\n FEMALE = 'female',\n // eslint-disable-next-line no-unused-vars\n MALE = 'male'\n}\n\nexport type AgeAndGenderPrediction = {\n age: number\n gender: Gender\n genderProbability: number\n}\n\nexport type NetOutput = { age: tf.Tensor1D, gender: tf.Tensor2D }\n\nexport type NetParams = {\n fc: {\n age: FCParams\n gender: FCParams\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { seperateWeightMaps } from '../faceProcessor/util';\nimport { TinyXception } from '../xception/TinyXception';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { AgeAndGenderPrediction, Gender, NetOutput, NetParams } from './types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\n\nexport class AgeGenderNet extends NeuralNetwork {\n private _faceFeatureExtractor: TinyXception;\n\n constructor(faceFeatureExtractor: TinyXception = new TinyXception(2)) {\n super('AgeGenderNet');\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): TinyXception {\n return this._faceFeatureExtractor;\n }\n\n public runNet(input: NetInput | tf.Tensor4D): NetOutput {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n\n const pooled = tf.avgPool(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1);\n const age = fullyConnectedLayer(pooled, params.fc.age).as1D();\n const gender = fullyConnectedLayer(pooled, params.fc.gender);\n return { age, gender };\n });\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): NetOutput {\n return tf.tidy(() => {\n const { age, gender } = this.runNet(input);\n return { age, gender: tf.softmax(gender) };\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictAgeAndGender(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n\n const ages = tf.unstack(out.age);\n const genders = tf.unstack(out.gender);\n const ageAndGenderTensors = ages.map((ageTensor, i) => ({\n ageTensor,\n genderTensor: genders[i],\n }));\n\n const predictionsByBatch = await Promise.all(\n ageAndGenderTensors.map(async ({ ageTensor, genderTensor }) => {\n const age = (ageTensor.dataSync())[0];\n const probMale = (genderTensor.dataSync())[0];\n const isMale = probMale > 0.5;\n const gender = isMale ? Gender.MALE : Gender.FEMALE;\n const genderProbability = isMale ? probMale : (1 - probMale);\n\n ageTensor.dispose();\n genderTensor.dispose();\n return { age, gender, genderProbability };\n }),\n );\n out.age.dispose();\n out.gender.dispose();\n\n return netInput.isBatchInput ? predictionsByBatch as AgeAndGenderPrediction[] : predictionsByBatch[0] as AgeAndGenderPrediction;\n }\n\n protected getDefaultModelName(): string {\n return 'age_gender_model';\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights);\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2);\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { IDimensions, Point } from '../classes/index';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { isEven } from '../utils/index';\n\nexport abstract class FaceLandmark68NetBase<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends FaceProcessor {\n public postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D {\n const inputDimensions = originalDimensions.map(({ width, height }) => {\n const scale = inputSize / Math.max(height, width);\n return {\n width: width * scale,\n height: height * scale,\n };\n });\n\n const batchSize = inputDimensions.length;\n\n return tf.tidy(() => {\n const createInterleavedTensor = (fillX: number, fillY: number) => tf.stack([tf.fill([68], fillX, 'float32'), tf.fill([68], fillY, 'float32')], 1).as2D(1, 136).as1D();\n\n // eslint-disable-next-line no-unused-vars\n const getPadding = (batchIdx: number, cond: (w: number, h: number) => boolean): number => {\n const { width, height } = inputDimensions[batchIdx];\n return cond(width, height) ? Math.abs(width - height) / 2 : 0;\n };\n\n const getPaddingX = (batchIdx: number) => getPadding(batchIdx, (w, h) => w < h);\n const getPaddingY = (batchIdx: number) => getPadding(batchIdx, (w, h) => h < w);\n\n const landmarkTensors = output\n .mul(tf.fill([batchSize, 136], inputSize, 'float32'))\n .sub(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n getPaddingX(batchIdx),\n getPaddingY(batchIdx),\n ))))\n .div(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n inputDimensions[batchIdx].width,\n inputDimensions[batchIdx].height,\n ))));\n\n return landmarkTensors as tf.Tensor2D;\n });\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n return tf.tidy(() => {\n const out = this.runNet(input);\n return this.postProcess(\n out,\n input.inputSize as number,\n input.inputDimensions.map(([height, width]) => ({ height, width })),\n );\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async detectLandmarks(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const landmarkTensors = tf.tidy(\n () => tf.unstack(this.forwardInput(netInput)),\n );\n\n const landmarksForBatch = await Promise.all(landmarkTensors.map(\n async (landmarkTensor, batchIdx) => {\n const landmarksArray = Array.from(landmarkTensor.dataSync());\n const xCoords = landmarksArray.filter((_, i) => isEven(i));\n const yCoords = landmarksArray.filter((_, i) => !isEven(i));\n\n return new FaceLandmarks68(\n Array(68).fill(0).map((_, i) => new Point(xCoords[i] as number, yCoords[i] as number)),\n {\n height: netInput.getInputHeight(batchIdx),\n width: netInput.getInputWidth(batchIdx),\n },\n );\n },\n ));\n\n landmarkTensors.forEach((t) => t.dispose());\n\n return netInput.isBatchInput ? landmarksForBatch as FaceLandmarks68[] : landmarksForBatch[0] as FaceLandmarks68;\n }\n\n protected getClassifierChannelsOut(): number {\n return 136;\n }\n}\n", "import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68Net extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceLandmark68Net', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMapTiny(\n weightMap: tf.NamedTensorMap,\n): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock3Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock3Params('dense0', true),\n dense1: extractDenseBlock3Params('dense1'),\n dense2: extractDenseBlock3Params('dense2'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsTiny(weights: Float32Array): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock3Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock3Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock3Params(64, 128, 'dense2');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { dense0, dense1, dense2 },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock3 } from './denseBlock';\nimport { extractParamsFromWeightMapTiny } from './extractParamsFromWeightMapTiny';\nimport { extractParamsTiny } from './extractParamsTiny';\nimport { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';\n\nexport class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('TinyFaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyFaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock3(normalized, params.dense0, true);\n out = denseBlock3(out, params.dense1);\n out = denseBlock3(out, params.dense2);\n out = tf.avgPool(out, [14, 14], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_tiny_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMapTiny(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParamsTiny(weights);\n }\n}\n", "import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';\nimport { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68TinyNet extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: TinyFaceFeatureExtractor = new TinyFaceFeatureExtractor()) {\n super('FaceLandmark68TinyNet', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_tiny_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 128;\n }\n}\n", "import { FaceLandmark68Net } from './FaceLandmark68Net';\n\nexport * from './FaceLandmark68Net';\nexport * from './FaceLandmark68TinyNet';\nexport class FaceLandmarkNet extends FaceLandmark68Net {}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ScaleLayerParams } from './types';\n\nexport function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D {\n return tf.add(tf.mul(x, params.weights), params.biases);\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { scale } from './scaleLayer';\nimport { ConvLayerParams } from './types';\n\nfunction convLayer(\n x: tf.Tensor4D,\n params: ConvLayerParams,\n strides: [number, number],\n withRelu: boolean,\n padding: 'valid' | 'same' = 'same',\n): tf.Tensor4D {\n const { filters, bias } = params.conv;\n\n let out = tf.conv2d(x, filters, strides, padding);\n out = tf.add(out, bias);\n out = scale(out, params.scale);\n return withRelu ? tf.relu(out) : out;\n}\n\nexport function conv(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], true);\n}\n\nexport function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], false);\n}\n\nexport function convDown(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [2, 2], true, 'valid');\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, extractWeightsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { isFloat } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractFilterValues(numFilterValues: number, numFilters: number, filterSize: number): tf.Tensor4D {\n const weights = extractWeights(numFilterValues);\n const depth = weights.length / (numFilters * filterSize * filterSize);\n\n if (isFloat(depth)) {\n throw new Error(`depth has to be an integer: ${depth}, weights.length: ${weights.length}, numFilters: ${numFilters}, filterSize: ${filterSize}`);\n }\n\n return tf.tidy(\n () => tf.transpose(\n tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]),\n [2, 3, 1, 0],\n ),\n );\n }\n\n function extractConvParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams {\n const filters = extractFilterValues(numFilterValues, numFilters, filterSize);\n const bias = tf.tensor1d(extractWeights(numFilters));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n }\n\n function extractScaleLayerParams(numWeights: number, mappedPrefix: string): ScaleLayerParams {\n const weights = tf.tensor1d(extractWeights(numWeights));\n const biases = tf.tensor1d(extractWeights(numWeights));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/biases` },\n );\n\n return {\n weights,\n biases,\n };\n }\n\n function extractConvLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvLayerParams {\n const conv = extractConvParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv`);\n const scale = extractScaleLayerParams(numFilters, `${mappedPrefix}/scale`);\n\n return { conv, scale };\n }\n\n function extractResidualLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n isDown = false,\n ): ResidualLayerParams {\n const conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv1`);\n const conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv2`);\n\n return { conv1, conv2 };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');\n const conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');\n const conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');\n const conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');\n\n const conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);\n const conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');\n const conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');\n const conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');\n\n const conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);\n const conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');\n const conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');\n\n const conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);\n const conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');\n const conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');\n const conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');\n\n const fc = tf.tidy(\n () => tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]),\n );\n paramMappings.push({ paramPath: 'fc' });\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor2D } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractScaleLayerParams(prefix: string): ScaleLayerParams {\n const weights = extractWeightEntry(`${prefix}/scale/weights`, 1);\n const biases = extractWeightEntry(`${prefix}/scale/biases`, 1);\n\n return { weights, biases };\n }\n\n function extractConvLayerParams(prefix: string): ConvLayerParams {\n const filters = extractWeightEntry(`${prefix}/conv/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/conv/bias`, 1);\n const scale = extractScaleLayerParams(prefix);\n\n return { conv: { filters, bias }, scale };\n }\n\n function extractResidualLayerParams(prefix: string): ResidualLayerParams {\n return {\n conv1: extractConvLayerParams(`${prefix}/conv1`),\n conv2: extractConvLayerParams(`${prefix}/conv2`),\n };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n const conv32_down = extractConvLayerParams('conv32_down');\n const conv32_1 = extractResidualLayerParams('conv32_1');\n const conv32_2 = extractResidualLayerParams('conv32_2');\n const conv32_3 = extractResidualLayerParams('conv32_3');\n\n const conv64_down = extractResidualLayerParams('conv64_down');\n const conv64_1 = extractResidualLayerParams('conv64_1');\n const conv64_2 = extractResidualLayerParams('conv64_2');\n const conv64_3 = extractResidualLayerParams('conv64_3');\n\n const conv128_down = extractResidualLayerParams('conv128_down');\n const conv128_1 = extractResidualLayerParams('conv128_1');\n const conv128_2 = extractResidualLayerParams('conv128_2');\n\n const conv256_down = extractResidualLayerParams('conv256_down');\n const conv256_1 = extractResidualLayerParams('conv256_1');\n const conv256_2 = extractResidualLayerParams('conv256_2');\n const conv256_down_out = extractResidualLayerParams('conv256_down_out');\n\n const { fc } = weightMap;\n paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });\n\n if (!isTensor2D(fc)) {\n throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${fc}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { conv, convDown, convNoRelu } from './convLayer';\nimport { ResidualLayerParams } from './types';\n\nexport function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = conv(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n out = tf.add(out, x);\n out = tf.relu(out);\n return out;\n}\n\nexport function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = convDown(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n\n let pooled = tf.avgPool(x, 2, 2, 'valid') as tf.Tensor4D;\n const zeros = tf.zeros(pooled.shape);\n const isPad = pooled.shape[3] !== out.shape[3];\n const isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];\n\n if (isAdjustShape) {\n const padShapeX = [...out.shape] as [number, number, number, number];\n padShapeX[1] = 1;\n const zerosW = tf.zeros(padShapeX);\n out = tf.concat([out, zerosW], 1);\n\n const padShapeY = [...out.shape] as [number, number, number, number];\n padShapeY[2] = 1;\n const zerosH = tf.zeros(padShapeY);\n out = tf.concat([out, zerosH], 2);\n }\n\n pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;\n out = tf.add(pooled, out) as tf.Tensor4D;\n\n out = tf.relu(out);\n return out;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { convDown } from './convLayer';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { residual, residualDown } from './residualLayer';\nimport { NetParams } from './types';\n\nexport class FaceRecognitionNet extends NeuralNetwork {\n constructor() {\n super('FaceRecognitionNet');\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceRecognitionNet - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');\n\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = convDown(normalized, params.conv32_down);\n out = tf.maxPool(out, 3, 2, 'valid');\n\n out = residual(out, params.conv32_1);\n out = residual(out, params.conv32_2);\n out = residual(out, params.conv32_3);\n\n out = residualDown(out, params.conv64_down);\n out = residual(out, params.conv64_1);\n out = residual(out, params.conv64_2);\n out = residual(out, params.conv64_3);\n\n out = residualDown(out, params.conv128_down);\n out = residual(out, params.conv128_1);\n out = residual(out, params.conv128_2);\n\n out = residualDown(out, params.conv256_down);\n out = residual(out, params.conv256_1);\n out = residual(out, params.conv256_2);\n out = residualDown(out, params.conv256_down_out);\n\n const globalAvg = out.mean([1, 2]) as tf.Tensor2D;\n const fullyConnected = tf.matMul(globalAvg, params.fc);\n\n return fullyConnected as tf.Tensor2D;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async computeFaceDescriptor(input: TNetInput): Promise {\n // @ts-ignore\n if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);\n const netInput = await toNetInput(input);\n const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));\n const faceDescriptorsForBatch = await Promise.all(faceDescriptorTensors.map((t) => t.data())) as Float32Array[];\n faceDescriptorTensors.forEach((t) => t.dispose());\n return netInput.isBatchInput ? faceDescriptorsForBatch : faceDescriptorsForBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_recognition_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { FaceRecognitionNet } from './FaceRecognitionNet';\n\nexport * from './FaceRecognitionNet';\n\nexport function createFaceRecognitionNet(weights: Float32Array) {\n const net = new FaceRecognitionNet();\n net.extractWeights(weights);\n return net;\n}\n", "export type WithFaceDescriptor = TSource & {\n descriptor: Float32Array\n}\n\nexport function extendWithFaceDescriptor<\n TSource\n>(\n sourceObj: TSource,\n descriptor: Float32Array,\n): WithFaceDescriptor {\n const extension = { descriptor };\n return { ...sourceObj, ...extension };\n}\n", "export type WithAge = TSource & {\n age: number\n}\n\nexport function isWithAge(obj: any): obj is WithAge<{}> {\n return typeof obj.age === 'number';\n}\n\nexport function extendWithAge<\n TSource\n>(\n sourceObj: TSource,\n age: number,\n): WithAge {\n const extension = { age };\n return { ...sourceObj, ...extension };\n}\n", "import { Gender } from '../ageGenderNet/types';\nimport { isValidProbablitiy } from '../utils/index';\n\nexport type WithGender = TSource & {\n gender: Gender\n genderProbability: number\n}\n\nexport function isWithGender(obj: any): obj is WithGender<{}> {\n return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE)\n && isValidProbablitiy(obj.genderProbability);\n}\n\nexport function extendWithGender<\n TSource\n>(\n sourceObj: TSource,\n gender: Gender,\n genderProbability: number,\n): WithGender {\n const extension = { gender, genderProbability };\n return { ...sourceObj, ...extension };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, ConvParams, extractWeightsFactory } from '../common/index';\nimport { MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractDepthwiseConvParams(numChannels: number, mappedPrefix: string): MobileNetV1.DepthwiseConvParams {\n const filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);\n const batch_norm_scale = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_offset = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_mean = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_variance = tf.tensor1d(extractWeights(numChannels));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/batch_norm_scale` },\n { paramPath: `${mappedPrefix}/batch_norm_offset` },\n { paramPath: `${mappedPrefix}/batch_norm_mean` },\n { paramPath: `${mappedPrefix}/batch_norm_variance` },\n );\n\n return {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n };\n }\n\n function extractConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n isPointwiseConv?: boolean,\n ): ConvParams {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/${isPointwiseConv ? 'batch_norm_offset' : 'bias'}` },\n );\n\n return { filters, bias };\n }\n\n function extractPointwiseConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): PointwiseConvParams {\n const {\n filters,\n bias,\n } = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true);\n\n return {\n filters,\n batch_norm_offset: bias,\n };\n }\n\n function extractConvPairParams(\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): MobileNetV1.ConvPairParams {\n const depthwise_conv = extractDepthwiseConvParams(channelsIn, `${mappedPrefix}/depthwise_conv`);\n const pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/pointwise_conv`);\n\n return { depthwise_conv, pointwise_conv };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n const conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');\n const conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');\n const conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');\n const conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');\n const conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');\n const conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');\n const conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');\n const conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');\n const conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');\n const conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');\n const conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');\n const conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');\n const conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');\n const conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n conv_8,\n conv_9,\n conv_10,\n conv_11,\n conv_12,\n conv_13,\n };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n const conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');\n const conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');\n const conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');\n const conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');\n const conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');\n const conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');\n const conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');\n const conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');\n const box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');\n const class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');\n const box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');\n const class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');\n const box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');\n const class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');\n const box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');\n const class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');\n const box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');\n const class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');\n const box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');\n const class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');\n\n const box_predictor_0 = {\n box_encoding_predictor: box_encoding_0_predictor,\n class_predictor: class_predictor_0,\n };\n const box_predictor_1 = {\n box_encoding_predictor: box_encoding_1_predictor,\n class_predictor: class_predictor_1,\n };\n const box_predictor_2 = {\n box_encoding_predictor: box_encoding_2_predictor,\n class_predictor: class_predictor_2,\n };\n const box_predictor_3 = {\n box_encoding_predictor: box_encoding_3_predictor,\n class_predictor: class_predictor_3,\n };\n const box_predictor_4 = {\n box_encoding_predictor: box_encoding_4_predictor,\n class_predictor: class_predictor_4,\n };\n const box_predictor_5 = {\n box_encoding_predictor: box_encoding_5_predictor,\n class_predictor: class_predictor_5,\n };\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n box_predictor_0,\n box_predictor_1,\n box_predictor_2,\n box_predictor_3,\n box_predictor_4,\n box_predictor_5,\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n const mobilenetv1 = extractMobilenetV1Params();\n const prediction_layer = extractPredictionLayerParams();\n const extra_dim = tf.tensor3d(\n extractWeights(5118 * 4),\n [1, 5118, 4],\n );\n const output_layer = {\n extra_dim,\n };\n paramMappings.push({ paramPath: 'output_layer/extra_dim' });\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n params: {\n mobilenetv1,\n prediction_layer,\n output_layer,\n },\n paramMappings,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor3D } from '../utils/index';\nimport { BoxPredictionParams, MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractPointwiseConvParams(prefix: string, idx: number, mappedPrefix: string): PointwiseConvParams {\n const filters = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/weights`, 4, `${mappedPrefix}/filters`);\n const batch_norm_offset = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/convolution_bn_offset`, 1, `${mappedPrefix}/batch_norm_offset`);\n return { filters, batch_norm_offset };\n }\n\n function extractConvPairParams(idx: number): MobileNetV1.ConvPairParams {\n const mappedPrefix = `mobilenetv1/conv_${idx}`;\n const prefixDepthwiseConv = `MobilenetV1/Conv2d_${idx}_depthwise`;\n const mappedPrefixDepthwiseConv = `${mappedPrefix}/depthwise_conv`;\n const mappedPrefixPointwiseConv = `${mappedPrefix}/pointwise_conv`;\n\n const filters = extractWeightEntry(`${prefixDepthwiseConv}/depthwise_weights`, 4, `${mappedPrefixDepthwiseConv}/filters`);\n const batch_norm_scale = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/gamma`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_scale`);\n const batch_norm_offset = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/beta`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_offset`);\n const batch_norm_mean = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_mean`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_mean`);\n const batch_norm_variance = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_variance`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_variance`);\n\n return {\n depthwise_conv: {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n },\n pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv),\n };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n return {\n conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),\n conv_1: extractConvPairParams(1),\n conv_2: extractConvPairParams(2),\n conv_3: extractConvPairParams(3),\n conv_4: extractConvPairParams(4),\n conv_5: extractConvPairParams(5),\n conv_6: extractConvPairParams(6),\n conv_7: extractConvPairParams(7),\n conv_8: extractConvPairParams(8),\n conv_9: extractConvPairParams(9),\n conv_10: extractConvPairParams(10),\n conv_11: extractConvPairParams(11),\n conv_12: extractConvPairParams(12),\n conv_13: extractConvPairParams(13),\n };\n }\n\n function extractConvParams(prefix: string, mappedPrefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/weights`, 4, `${mappedPrefix}/filters`);\n const bias = extractWeightEntry(`${prefix}/biases`, 1, `${mappedPrefix}/bias`);\n return { filters, bias };\n }\n\n function extractBoxPredictorParams(idx: number): BoxPredictionParams {\n const box_encoding_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/BoxEncodingPredictor`,\n `prediction_layer/box_predictor_${idx}/box_encoding_predictor`,\n );\n const class_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/ClassPredictor`,\n `prediction_layer/box_predictor_${idx}/class_predictor`,\n );\n return { box_encoding_predictor, class_predictor };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n return {\n conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),\n conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),\n conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),\n conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),\n conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),\n conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),\n conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),\n conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),\n box_predictor_0: extractBoxPredictorParams(0),\n box_predictor_1: extractBoxPredictorParams(1),\n box_predictor_2: extractBoxPredictorParams(2),\n box_predictor_3: extractBoxPredictorParams(3),\n box_predictor_4: extractBoxPredictorParams(4),\n box_predictor_5: extractBoxPredictorParams(5),\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n const extra_dim = weightMap['Output/extra_dim'];\n paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });\n if (!isTensor3D(extra_dim)) {\n throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${extra_dim}`);\n }\n\n const params = {\n mobilenetv1: extractMobilenetV1Params(),\n prediction_layer: extractPredictionLayerParams(),\n output_layer: {\n extra_dim,\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { PointwiseConvParams } from './types';\n\nexport function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.conv2d(x, params.filters, strides, 'same');\n out = tf.add(out, params.batch_norm_offset);\n return tf.clipByValue(out, 0, 6);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { MobileNetV1 } from './types';\n\nconst epsilon = 0.0010000000474974513;\n\nfunction depthwiseConvLayer(x: tf.Tensor4D, params: MobileNetV1.DepthwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.depthwiseConv2d(x, params.filters, strides, 'same');\n out = tf.batchNorm(\n out,\n params.batch_norm_mean,\n params.batch_norm_variance,\n params.batch_norm_offset,\n params.batch_norm_scale,\n epsilon,\n );\n return tf.clipByValue(out, 0, 6);\n });\n}\n\nfunction getStridesForLayerIdx(layerIdx: number): [number, number] {\n return [2, 4, 6, 12].some((idx) => idx === layerIdx) ? [2, 2] : [1, 1];\n}\n\nexport function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params) {\n return tf.tidy(() => {\n let conv11;\n let out = pointwiseConvLayer(x, params.conv_0, [2, 2]);\n\n const convPairParams = [\n params.conv_1,\n params.conv_2,\n params.conv_3,\n params.conv_4,\n params.conv_5,\n params.conv_6,\n params.conv_7,\n params.conv_8,\n params.conv_9,\n params.conv_10,\n params.conv_11,\n params.conv_12,\n params.conv_13,\n ];\n\n convPairParams.forEach((param, i) => {\n const layerIdx = i + 1;\n const depthwiseConvStrides = getStridesForLayerIdx(layerIdx);\n out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);\n out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);\n if (layerIdx === 11) conv11 = out;\n });\n\n if (conv11 === null) {\n throw new Error('mobileNetV1 - output of conv layer 11 is null');\n }\n\n return {\n out,\n conv11: conv11 as any,\n };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nfunction IOU(boxes: tf.Tensor2D, i: number, j: number) {\n const boxesData = boxes.arraySync();\n const yminI = Math.min(boxesData[i][0], boxesData[i][2]);\n const xminI = Math.min(boxesData[i][1], boxesData[i][3]);\n const ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);\n const xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);\n const yminJ = Math.min(boxesData[j][0], boxesData[j][2]);\n const xminJ = Math.min(boxesData[j][1], boxesData[j][3]);\n const ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);\n const xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);\n const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n if (areaI <= 0 || areaJ <= 0) return 0.0;\n const intersectionYmin = Math.max(yminI, yminJ);\n const intersectionXmin = Math.max(xminI, xminJ);\n const intersectionYmax = Math.min(ymaxI, ymaxJ);\n const intersectionXmax = Math.min(xmaxI, xmaxJ);\n const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) * Math.max(intersectionXmax - intersectionXmin, 0.0);\n return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\nexport function nonMaxSuppression(\n boxes: tf.Tensor2D,\n scores: number[],\n maxOutputSize: number,\n iouThreshold: number,\n scoreThreshold: number,\n): number[] {\n const numBoxes = boxes.shape[0];\n const outputSize = Math.min(maxOutputSize, numBoxes);\n\n const candidates = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .filter((c) => c.score > scoreThreshold)\n .sort((c1, c2) => c2.score - c1.score);\n\n const suppressFunc = (x: number) => (x <= iouThreshold ? 1 : 0);\n const selected: number[] = [];\n\n candidates.forEach((c) => {\n if (selected.length >= outputSize) return;\n const originalScore = c.score;\n for (let j = selected.length - 1; j >= 0; --j) {\n const iou = IOU(boxes, c.boxIndex, selected[j]);\n if (iou === 0.0) continue;\n c.score *= suppressFunc(iou);\n if (c.score <= scoreThreshold) break;\n }\n if (originalScore === c.score) {\n selected.push(c.boxIndex);\n }\n });\n return selected;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { OutputLayerParams } from './types';\n\nfunction getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {\n const vec = tf.unstack(tf.transpose(x, [1, 0]));\n\n const sizes = [\n tf.sub(vec[2], vec[0]),\n tf.sub(vec[3], vec[1]),\n ];\n const centers = [\n tf.add(vec[0], tf.div(sizes[0], 2)),\n tf.add(vec[1], tf.div(sizes[1], 2)),\n ];\n return { sizes, centers };\n}\n\nfunction decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {\n const { sizes, centers } = getCenterCoordinatesAndSizesLayer(x0);\n\n const vec = tf.unstack(tf.transpose(x1, [1, 0]));\n const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], 5)), sizes[0]), 2);\n const add0_out = tf.add(tf.mul(tf.div(vec[0], 10), sizes[0]), centers[0]);\n const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], 5)), sizes[1]), 2);\n const add1_out = tf.add(tf.mul(tf.div(vec[1], 10), sizes[1]), centers[1]);\n\n return tf.transpose(\n tf.stack([\n tf.sub(add0_out, div0_out),\n tf.sub(add1_out, div1_out),\n tf.add(add0_out, div0_out),\n tf.add(add1_out, div1_out),\n ]),\n [1, 0],\n );\n}\n\nexport function outputLayer(boxPredictions: tf.Tensor4D, classPredictions: tf.Tensor4D, params: OutputLayerParams) {\n return tf.tidy(() => {\n const batchSize = boxPredictions.shape[0];\n\n let boxes = decodeBoxesLayer(\n tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]) as tf.Tensor2D,\n tf.reshape(boxPredictions, [-1, 4]) as tf.Tensor2D,\n );\n boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);\n\n const scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));\n let scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]) as tf.Tensor;\n\n scores = tf.reshape(scores, [batchSize, scores.shape[1] as number]);\n\n const boxesByBatch = tf.unstack(boxes) as tf.Tensor2D[];\n const scoresByBatch = tf.unstack(scores) as tf.Tensor1D[];\n\n return { boxes: boxesByBatch, scores: scoresByBatch };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { convLayer } from '../common/index';\nimport { BoxPredictionParams } from './types';\n\nexport function boxPredictionLayer(\n x: tf.Tensor4D,\n params: BoxPredictionParams,\n) {\n return tf.tidy(() => {\n const batchSize = x.shape[0];\n const boxPredictionEncoding = tf.reshape(\n convLayer(x, params.box_encoding_predictor),\n [batchSize, -1, 1, 4],\n );\n const classPrediction = tf.reshape(\n convLayer(x, params.class_predictor),\n [batchSize, -1, 3],\n );\n return { boxPredictionEncoding, classPrediction };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { boxPredictionLayer } from './boxPredictionLayer';\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { PredictionLayerParams } from './types';\n\nexport function predictionLayer(\n x: tf.Tensor4D,\n conv11: tf.Tensor4D,\n params: PredictionLayerParams,\n) {\n return tf.tidy(() => {\n const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);\n const conv1 = pointwiseConvLayer(conv0, params.conv_1, [2, 2]);\n const conv2 = pointwiseConvLayer(conv1, params.conv_2, [1, 1]);\n const conv3 = pointwiseConvLayer(conv2, params.conv_3, [2, 2]);\n const conv4 = pointwiseConvLayer(conv3, params.conv_4, [1, 1]);\n const conv5 = pointwiseConvLayer(conv4, params.conv_5, [2, 2]);\n const conv6 = pointwiseConvLayer(conv5, params.conv_6, [1, 1]);\n const conv7 = pointwiseConvLayer(conv6, params.conv_7, [2, 2]);\n\n const boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0);\n const boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1);\n const boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2);\n const boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3);\n const boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4);\n const boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5);\n\n const boxPredictions = tf.concat([\n boxPrediction0.boxPredictionEncoding,\n boxPrediction1.boxPredictionEncoding,\n boxPrediction2.boxPredictionEncoding,\n boxPrediction3.boxPredictionEncoding,\n boxPrediction4.boxPredictionEncoding,\n boxPrediction5.boxPredictionEncoding,\n ], 1) as tf.Tensor4D;\n\n const classPredictions = tf.concat([\n boxPrediction0.classPrediction,\n boxPrediction1.classPrediction,\n boxPrediction2.classPrediction,\n boxPrediction3.classPrediction,\n boxPrediction4.classPrediction,\n boxPrediction5.classPrediction,\n ], 1) as tf.Tensor4D;\n\n return {\n boxPredictions,\n classPredictions,\n };\n });\n}\n", "export interface ISsdMobilenetv1Options {\n minConfidence?: number\n maxResults?: number\n}\n\nexport class SsdMobilenetv1Options {\n protected _name = 'SsdMobilenetv1Options';\n\n private _minConfidence: number;\n\n private _maxResults: number;\n\n constructor({ minConfidence, maxResults }: ISsdMobilenetv1Options = {}) {\n this._minConfidence = minConfidence || 0.5;\n this._maxResults = maxResults || 100;\n\n if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {\n throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);\n }\n\n if (typeof this._maxResults !== 'number') {\n throw new Error(`${this._name} - expected maxResults to be a number`);\n }\n }\n\n get minConfidence(): number { return this._minConfidence; }\n\n get maxResults(): number { return this._maxResults; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { mobileNetV1 } from './mobileNetV1';\nimport { nonMaxSuppression } from './nonMaxSuppression';\nimport { outputLayer } from './outputLayer';\nimport { predictionLayer } from './predictionLayer';\nimport { ISsdMobilenetv1Options, SsdMobilenetv1Options } from './SsdMobilenetv1Options';\nimport { NetParams } from './types';\n\nexport class SsdMobilenetv1 extends NeuralNetwork {\n constructor() {\n super('SsdMobilenetv1');\n }\n\n public forwardInput(input: NetInput) {\n const { params } = this;\n if (!params) throw new Error('SsdMobilenetv1 - load model before inference');\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');\n const x = tf.sub(tf.div(batchTensor, 127.5), 1) as tf.Tensor4D; // input is normalized -1..1\n const features = mobileNetV1(x, params.mobilenetv1);\n const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);\n return outputLayer(boxPredictions, classPredictions, params.output_layer);\n });\n }\n\n public async forward(input: TNetInput) {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async locateFaces(input: TNetInput, options: ISsdMobilenetv1Options = {}): Promise {\n const { maxResults, minConfidence } = new SsdMobilenetv1Options(options);\n const netInput = await toNetInput(input);\n const { boxes: _boxes, scores: _scores } = this.forwardInput(netInput);\n const boxes = _boxes[0];\n const scores = _scores[0];\n for (let i = 1; i < _boxes.length; i++) {\n _boxes[i].dispose();\n _scores[i].dispose();\n }\n const scoresData = Array.from(scores.dataSync());\n const iouThreshold = 0.5;\n const indices = nonMaxSuppression(boxes, scoresData as number[], maxResults, iouThreshold, minConfidence);\n const reshapedDims = netInput.getReshapedInputDimensions(0);\n const inputSize = netInput.inputSize as number;\n const padX = inputSize / reshapedDims.width;\n const padY = inputSize / reshapedDims.height;\n const boxesData = boxes.arraySync();\n const results = indices\n .map((idx) => {\n const [top, bottom] = [\n Math.max(0, boxesData[idx][0]),\n Math.min(1.0, boxesData[idx][2]),\n ].map((val) => val * padY);\n const [left, right] = [\n Math.max(0, boxesData[idx][1]),\n Math.min(1.0, boxesData[idx][3]),\n ].map((val) => val * padX);\n return new FaceDetection(\n scoresData[idx] as number,\n new Rect(left, top, right - left, bottom - top),\n { height: netInput.getInputHeight(0), width: netInput.getInputWidth(0) },\n );\n });\n boxes.dispose();\n scores.dispose();\n return results;\n }\n\n protected getDefaultModelName(): string {\n return 'ssd_mobilenetv1_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { SsdMobilenetv1 } from './SsdMobilenetv1';\n\nexport * from './SsdMobilenetv1';\nexport * from './SsdMobilenetv1Options';\n\nexport function createSsdMobilenetv1(weights: Float32Array) {\n const net = new SsdMobilenetv1();\n net.extractWeights(weights);\n return net;\n}\n\nexport function createFaceDetectionNet(weights: Float32Array) {\n return createSsdMobilenetv1(weights);\n}\n\n// alias for backward compatibily\nexport class FaceDetectionNet extends SsdMobilenetv1 {}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(0.738768, 0.874946),\n new Point(2.42204, 2.65704),\n new Point(4.30971, 7.04493),\n new Point(10.246, 4.59428),\n new Point(12.6868, 11.8741),\n];\n\nexport const BOX_ANCHORS_SEPARABLE = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB_SEPARABLE: [number, number, number] = [117.001, 114.697, 97.404];\n\nexport const DEFAULT_MODEL_NAME = 'tiny_yolov2_model';\nexport const DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';\n", "import { Point } from '../classes/Point';\n\nexport type TinyYolov2Config = {\n withSeparableConvs: boolean\n iouThreshold: number\n anchors: Point[]\n classes: string[]\n meanRgb?: [number, number, number]\n withClassScores?: boolean,\n filterSizes?: number[]\n isFirstLayerConv2d?: boolean\n}\n\nconst isNumber = (arg: any) => typeof arg === 'number';\n\nexport function validateConfig(config: any) {\n if (!config) {\n throw new Error(`invalid config: ${config}`);\n }\n\n if (typeof config.withSeparableConvs !== 'boolean') {\n throw new Error(`config.withSeparableConvs has to be a boolean, have: ${config.withSeparableConvs}`);\n }\n\n if (!isNumber(config.iouThreshold) || config.iouThreshold < 0 || config.iouThreshold > 1.0) {\n throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${config.iouThreshold}`);\n }\n\n if (\n !Array.isArray(config.classes)\n || !config.classes.length\n || !config.classes.every((c: any) => typeof c === 'string')\n ) {\n throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(config.classes)}`);\n }\n\n if (\n !Array.isArray(config.anchors)\n || !config.anchors.length\n || !config.anchors.map((a: any) => a || {}).every((a: any) => isNumber(a.x) && isNumber(a.y))\n ) {\n throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(config.anchors)}`);\n }\n\n if (config.meanRgb && (\n !Array.isArray(config.meanRgb)\n || config.meanRgb.length !== 3\n || !config.meanRgb.every(isNumber)\n )) {\n throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(config.meanRgb)}`);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function leaky(x: tf.Tensor4D): tf.Tensor4D {\n return tf.tidy(() => {\n const min = tf.mul(x, tf.scalar(0.10000000149011612));\n return tf.add(tf.relu(tf.sub(x, min)), min);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { leaky } from './leaky';\nimport { ConvWithBatchNorm } from './types';\n\nexport function convWithBatchNorm(x: tf.Tensor4D, params: ConvWithBatchNorm): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.conv2d(out, params.conv.filters, [1, 1], 'valid');\n out = tf.sub(out, params.bn.sub);\n out = tf.mul(out, params.bn.truediv);\n out = tf.add(out, params.conv.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from '../common/types';\nimport { leaky } from './leaky';\n\nexport function depthwiseSeparableConv(x: tf.Tensor4D, params: SeparableConvParams): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.separableConv2d(out, params.depthwise_filter, params.pointwise_filter, [1, 1], 'valid');\n out = tf.add(out, params.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { extractConvParamsFactory } from '../common/index';\nimport { extractSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightsFactory } from '../common/extractWeightsFactory';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n\n function extractBatchNormParams(size: number, mappedPrefix: string): BatchNorm {\n const sub = tf.tensor1d(extractWeights(size));\n const truediv = tf.tensor1d(extractWeights(size));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/sub` },\n { paramPath: `${mappedPrefix}/truediv` },\n );\n return { sub, truediv };\n }\n\n function extractConvWithBatchNormParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv`);\n const bn = extractBatchNormParams(channelsOut, `${mappedPrefix}/bn`);\n return { conv, bn };\n }\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParams(\n weights: Float32Array,\n config: TinyYolov2Config,\n boxEncodingSize: number,\n filterSizes: number[],\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(extractWeights, paramMappings);\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = config.isFirstLayerConv2d\n ? extractConvParams(s0, s1, 3, 'conv0')\n : extractSeparableConvParams(s0, s1, 'conv0');\n const conv1 = extractSeparableConvParams(s1, s2, 'conv1');\n const conv2 = extractSeparableConvParams(s2, s3, 'conv2');\n const conv3 = extractSeparableConvParams(s3, s4, 'conv3');\n const conv4 = extractSeparableConvParams(s4, s5, 'conv4');\n const conv5 = extractSeparableConvParams(s5, s6, 'conv5');\n const conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;\n const conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;\n const conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n } else {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');\n const conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');\n const conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');\n const conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');\n const conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');\n const conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');\n const conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');\n const conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');\n const conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n }\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from '../common/index';\nimport { disposeUnusedWeightTensors } from '../common/disposeUnusedWeightTensors';\nimport { loadSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightEntryFactory } from '../common/extractWeightEntryFactory';\nimport { ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractBatchNormParams(prefix: string): BatchNorm {\n const sub = extractWeightEntry(`${prefix}/sub`, 1);\n const truediv = extractWeightEntry(`${prefix}/truediv`, 1);\n return { sub, truediv };\n }\n\n function extractConvParams(prefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { filters, bias };\n }\n\n function extractConvWithBatchNormParams(prefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(`${prefix}/conv`);\n const bn = extractBatchNormParams(`${prefix}/bn`);\n return { conv, bn };\n }\n\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n config: TinyYolov2Config,\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n // eslint-disable-next-line no-mixed-operators\n const numFilters = (config.filterSizes && config.filterSizes.length || 9);\n params = {\n conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),\n conv1: extractSeparableConvParams('conv1'),\n conv2: extractSeparableConvParams('conv2'),\n conv3: extractSeparableConvParams('conv3'),\n conv4: extractSeparableConvParams('conv4'),\n conv5: extractSeparableConvParams('conv5'),\n conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,\n conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,\n conv8: extractConvParams('conv8'),\n };\n } else {\n params = {\n conv0: extractConvWithBatchNormParams('conv0'),\n conv1: extractConvWithBatchNormParams('conv1'),\n conv2: extractConvWithBatchNormParams('conv2'),\n conv3: extractConvWithBatchNormParams('conv3'),\n conv4: extractConvWithBatchNormParams('conv4'),\n conv5: extractConvWithBatchNormParams('conv5'),\n conv6: extractConvWithBatchNormParams('conv6'),\n conv7: extractConvWithBatchNormParams('conv7'),\n conv8: extractConvParams('conv8'),\n };\n }\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "export interface ITinyYolov2Options {\n inputSize?: number\n scoreThreshold?: number\n}\n\nexport class TinyYolov2Options {\n protected _name = 'TinyYolov2Options';\n\n private _inputSize: number;\n\n private _scoreThreshold: number;\n\n constructor({ inputSize, scoreThreshold }: ITinyYolov2Options = {}) {\n this._inputSize = inputSize || 416;\n this._scoreThreshold = scoreThreshold || 0.5;\n\n if (typeof this._inputSize !== 'number' || this._inputSize % 32 !== 0) {\n throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);\n }\n\n if (typeof this._scoreThreshold !== 'number' || this._scoreThreshold <= 0 || this._scoreThreshold >= 1) {\n throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`);\n }\n }\n\n get inputSize(): number { return this._inputSize; }\n\n get scoreThreshold(): number { return this._scoreThreshold; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { BoundingBox } from '../classes/BoundingBox';\nimport { Dimensions } from '../classes/Dimensions';\nimport { ObjectDetection } from '../classes/ObjectDetection';\nimport { convLayer } from '../common/index';\nimport { ConvParams, SeparableConvParams } from '../common/types';\nimport { toNetInput } from '../dom/index';\nimport { NetInput } from '../dom/NetInput';\nimport { TNetInput } from '../dom/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { sigmoid } from '../ops/index';\nimport { nonMaxSuppression } from '../ops/nonMaxSuppression';\nimport { normalize } from '../ops/normalize';\nimport { TinyYolov2Config, validateConfig } from './config';\nimport { convWithBatchNorm } from './convWithBatchNorm';\nimport { depthwiseSeparableConv } from './depthwiseSeparableConv';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { leaky } from './leaky';\nimport { ITinyYolov2Options, TinyYolov2Options } from './TinyYolov2Options';\nimport { DefaultTinyYolov2NetParams, MobilenetParams, TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2Base extends NeuralNetwork {\n public static DEFAULT_FILTER_SIZES = [3, 16, 32, 64, 128, 256, 512, 1024, 1024];\n\n private _config: TinyYolov2Config;\n\n constructor(config: TinyYolov2Config) {\n super('TinyYolov2');\n validateConfig(config);\n this._config = config;\n }\n\n public get config(): TinyYolov2Config {\n return this._config;\n }\n\n public get withClassScores(): boolean {\n return this.config.withClassScores || this.config.classes.length > 1;\n }\n\n public get boxEncodingSize(): number {\n return 5 + (this.withClassScores ? this.config.classes.length : 0);\n }\n\n public runTinyYolov2(x: tf.Tensor4D, params: DefaultTinyYolov2NetParams): tf.Tensor4D {\n let out = convWithBatchNorm(x, params.conv0);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = convWithBatchNorm(out, params.conv6);\n out = convWithBatchNorm(out, params.conv7);\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public runMobilenet(x: tf.Tensor4D, params: MobilenetParams): tf.Tensor4D {\n let out = this.config.isFirstLayerConv2d\n ? leaky(convLayer(x, params.conv0 as ConvParams, 'valid', false))\n : depthwiseSeparableConv(x, params.conv0 as SeparableConvParams);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = params.conv6 ? depthwiseSeparableConv(out, params.conv6) : out;\n out = params.conv7 ? depthwiseSeparableConv(out, params.conv7) : out;\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public forwardInput(input: NetInput, inputSize: number): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyYolov2 - load model before inference');\n }\n\n return tf.tidy(() => {\n let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');\n batchTensor = this.config.meanRgb\n ? normalize(batchTensor, this.config.meanRgb)\n : batchTensor;\n batchTensor = batchTensor.div(255) as tf.Tensor4D;\n return this.config.withSeparableConvs\n ? this.runMobilenet(batchTensor, params as MobilenetParams)\n : this.runTinyYolov2(batchTensor, params as DefaultTinyYolov2NetParams);\n });\n }\n\n public async forward(input: TNetInput, inputSize: number): Promise {\n return this.forwardInput(await toNetInput(input), inputSize);\n }\n\n public async detect(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise {\n const { inputSize, scoreThreshold } = new TinyYolov2Options(forwardParams);\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput, inputSize);\n const out0 = tf.tidy(() => tf.unstack(out)[0].expandDims()) as tf.Tensor4D;\n const inputDimensions = {\n width: netInput.getInputWidth(0),\n height: netInput.getInputHeight(0),\n };\n\n const results = await this.extractBoxes(out0, netInput.getReshapedInputDimensions(0), scoreThreshold);\n out.dispose();\n out0.dispose();\n\n const boxes = results.map((res) => res.box);\n const scores = results.map((res) => res.score);\n const classScores = results.map((res) => res.classScore);\n const classNames = results.map((res) => this.config.classes[res.label]);\n\n const indices = nonMaxSuppression(\n boxes.map((box) => box.rescale(inputSize)),\n scores,\n this.config.iouThreshold,\n true,\n );\n\n const detections = indices.map((idx) => new ObjectDetection(\n scores[idx],\n classScores[idx],\n classNames[idx],\n boxes[idx],\n inputDimensions,\n ));\n return detections;\n }\n\n protected getDefaultModelName(): string {\n return '';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this.config);\n }\n\n protected extractParams(weights: Float32Array) {\n const filterSizes = this.config.filterSizes || TinyYolov2Base.DEFAULT_FILTER_SIZES;\n\n const numFilters = filterSizes ? filterSizes.length : undefined;\n if (numFilters !== 7 && numFilters !== 8 && numFilters !== 9) {\n throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${numFilters} filterSizes in config`);\n }\n return extractParams(weights, this.config, this.boxEncodingSize, filterSizes);\n }\n\n protected async extractBoxes(\n outputTensor: tf.Tensor4D,\n inputBlobDimensions: Dimensions,\n scoreThreshold?: number,\n ) {\n const { width, height } = inputBlobDimensions;\n const inputSize = Math.max(width, height);\n const correctionFactorX = inputSize / width;\n const correctionFactorY = inputSize / height;\n\n const numCells = outputTensor.shape[1];\n const numBoxes = this.config.anchors.length;\n\n const [boxesTensor, scoresTensor, classScoresTensor] = tf.tidy(() => {\n const reshaped = outputTensor.reshape([numCells, numCells, numBoxes, this.boxEncodingSize]);\n\n const boxes = reshaped.slice([0, 0, 0, 0], [numCells, numCells, numBoxes, 4]);\n const scores = reshaped.slice([0, 0, 0, 4], [numCells, numCells, numBoxes, 1]);\n const classScores = this.withClassScores\n ? tf.softmax(reshaped.slice([0, 0, 0, 5], [numCells, numCells, numBoxes, this.config.classes.length]), 3)\n : tf.scalar(0);\n return [boxes, scores, classScores];\n });\n\n const results = [] as any;\n const scoresData = await scoresTensor.array();\n const boxesData = await boxesTensor.array();\n for (let row = 0; row < numCells; row++) {\n for (let col = 0; col < numCells; col++) {\n for (let anchor = 0; anchor < numBoxes; anchor++) {\n const score = sigmoid(scoresData[row][col][anchor][0]);\n if (!scoreThreshold || score > scoreThreshold) {\n const ctX = ((col + sigmoid(boxesData[row][col][anchor][0])) / numCells) * correctionFactorX;\n const ctY = ((row + sigmoid(boxesData[row][col][anchor][1])) / numCells) * correctionFactorY;\n const widthLocal = ((Math.exp(boxesData[row][col][anchor][2]) * this.config.anchors[anchor].x) / numCells) * correctionFactorX;\n const heightLocal = ((Math.exp(boxesData[row][col][anchor][3]) * this.config.anchors[anchor].y) / numCells) * correctionFactorY;\n const x = (ctX - (widthLocal / 2));\n const y = (ctY - (heightLocal / 2));\n const pos = { row, col, anchor };\n const { classScore, label } = this.withClassScores\n ? await this.extractPredictedClass(classScoresTensor as tf.Tensor4D, pos)\n : { classScore: 1, label: 0 };\n results.push({\n box: new BoundingBox(x, y, x + widthLocal, y + heightLocal),\n score,\n classScore: score * classScore,\n label,\n ...pos,\n });\n }\n }\n }\n }\n\n boxesTensor.dispose();\n scoresTensor.dispose();\n classScoresTensor.dispose();\n return results;\n }\n\n private async extractPredictedClass(classesTensor: tf.Tensor4D, pos: { row: number, col: number, anchor: number }) {\n const { row, col, anchor } = pos;\n const classesData = await classesTensor.array();\n return Array(this.config.classes.length).fill(0)\n .map((_, i) => classesData[row][col][anchor][i])\n .map((classScore, label) => ({\n classScore,\n label,\n }))\n .reduce((max, curr) => (max.classScore > curr.classScore ? max : curr));\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/types';\nimport { TNetInput } from '../dom/types';\nimport {\n BOX_ANCHORS,\n BOX_ANCHORS_SEPARABLE,\n DEFAULT_MODEL_NAME,\n DEFAULT_MODEL_NAME_SEPARABLE_CONV,\n IOU_THRESHOLD,\n MEAN_RGB_SEPARABLE,\n} from './const';\nimport { TinyYolov2Base } from './TinyYolov2Base';\nimport { ITinyYolov2Options } from './TinyYolov2Options';\nimport { TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2 extends TinyYolov2Base {\n constructor(withSeparableConvs = true) {\n const config = {\n withSeparableConvs,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n ...(withSeparableConvs\n ? {\n anchors: BOX_ANCHORS_SEPARABLE,\n meanRgb: MEAN_RGB_SEPARABLE,\n }\n : {\n anchors: BOX_ANCHORS,\n withClassScores: true,\n }),\n };\n\n super(config);\n }\n\n public get withSeparableConvs(): boolean {\n return this.config.withSeparableConvs;\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { TinyYolov2 } from './TinyYolov2';\n\nexport * from './TinyYolov2Options';\nexport * from './config';\nexport * from './types';\nexport { TinyYolov2 };\n\nexport function createTinyYolov2(weights: Float32Array, withSeparableConvs = true) {\n const net = new TinyYolov2(withSeparableConvs);\n net.extractWeights(weights);\n return net;\n}\n", "import { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\n\nexport type ITinyFaceDetectorOptions = ITinyYolov2Options\n\nexport class TinyFaceDetectorOptions extends TinyYolov2Options {\n protected override _name = 'TinyFaceDetectorOptions';\n}\n", "export class ComposableTask {\n // eslint-disable-next-line no-unused-vars\n public async then(onfulfilled: (value: T) => T | PromiseLike): Promise {\n return onfulfilled(await this.run());\n }\n\n public async run(): Promise {\n throw new Error('ComposableTask - run is not implemented');\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\n\nexport async function extractAllFacesAndComputeResults, TResult>(\n parentResults: TSource[],\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResults: (faces: Array) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment: (parentResult: WithFaceLandmarks) => FaceDetection = ({ alignedRect }) => alignedRect,\n) {\n const faceBoxes = parentResults.map((parentResult) => (isWithFaceLandmarks(parentResult)\n ? getRectForAlignment(parentResult)\n : parentResult.detection));\n const faces: Array = extractedFaces || (\n input instanceof tf.Tensor\n ? await extractFaceTensors(input, faceBoxes)\n : await extractFaces(input, faceBoxes)\n );\n const results = await computeResults(faces);\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return results;\n}\n\nexport async function extractSingleFaceAndComputeResult, TResult>(\n parentResult: TSource,\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResult: (face: HTMLCanvasElement | tf.Tensor3D) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment?: (parentResultLocal: WithFaceLandmarks) => FaceDetection,\n) {\n return extractAllFacesAndComputeResults(\n [parentResult],\n input,\n async (faces) => computeResult(faces[0]),\n extractedFaces,\n getRectForAlignment,\n );\n}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB: [number, number, number] = [117.001, 114.697, 97.404];\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/index';\nimport { TNetInput } from '../dom/index';\nimport { ITinyYolov2Options } from '../tinyYolov2/index';\nimport { TinyYolov2Base } from '../tinyYolov2/TinyYolov2Base';\nimport { TinyYolov2NetParams } from '../tinyYolov2/types';\nimport { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';\n\nexport class TinyFaceDetector extends TinyYolov2Base {\n constructor() {\n const config = {\n withSeparableConvs: true,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n anchors: BOX_ANCHORS,\n meanRgb: MEAN_RGB,\n isFirstLayerConv2d: true,\n filterSizes: [3, 16, 32, 64, 128, 256, 512],\n };\n\n super(config);\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return 'tiny_face_detector_model';\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { AgeGenderNet } from '../ageGenderNet/AgeGenderNet';\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';\nimport { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { ITinyYolov2Options, TinyYolov2 } from '../tinyYolov2/index';\n\nexport const nets = {\n ssdMobilenetv1: new SsdMobilenetv1(),\n tinyFaceDetector: new TinyFaceDetector(),\n tinyYolov2: new TinyYolov2(),\n faceLandmark68Net: new FaceLandmark68Net(),\n faceLandmark68TinyNet: new FaceLandmark68TinyNet(),\n faceRecognitionNet: new FaceRecognitionNet(),\n faceExpressionNet: new FaceExpressionNet(),\n ageGenderNet: new AgeGenderNet(),\n};\n\n/**\n * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const ssdMobilenetv1 = (input: TNetInput, options: SsdMobilenetv1Options): Promise => nets.ssdMobilenetv1.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Face Detector.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyFaceDetector = (input: TNetInput, options: TinyFaceDetectorOptions): Promise => nets.tinyFaceDetector.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Yolov2 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyYolov2Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyYolov2 = (input: TNetInput, options: ITinyYolov2Options): Promise => nets.tinyYolov2.locateFaces(input, options);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarks = (input: TNetInput): Promise => nets.faceLandmark68Net.detectLandmarks(input);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image\n * using a tinier version of the 68 point face landmark model, which is slightly\n * faster at inference, but also slightly less accurate.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarksTiny = (input: TNetInput): Promise => nets.faceLandmark68TinyNet.detectLandmarks(input);\n\n/**\n * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,\n * which uniquely represents the features of that persons face. The computed face descriptor can\n * be used to measure the similarity between faces, by computing the euclidean distance of two\n * face descriptors.\n *\n * @param inputs The face image extracted from the aligned bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Face descriptor with 128 entries or array thereof in case of batch input.\n */\nexport const computeFaceDescriptor = (input: TNetInput): Promise => nets.faceRecognitionNet.computeFaceDescriptor(input);\n\n/**\n * Recognizes the facial expressions from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Facial expressions with corresponding probabilities or array thereof in case of batch input.\n */\nexport const recognizeFaceExpressions = (input: TNetInput): Promise => nets.faceExpressionNet.predictExpressions(input);\n\n/**\n * Predicts age and gender from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Predictions with age, gender and gender probability or array thereof in case of batch input.\n */\nexport const predictAgeAndGender = (input: TNetInput): Promise => nets.ageGenderNet.predictAgeAndGender(input);\n\nexport const loadSsdMobilenetv1Model = (url: string) => nets.ssdMobilenetv1.load(url);\nexport const loadTinyFaceDetectorModel = (url: string) => nets.tinyFaceDetector.load(url);\nexport const loadTinyYolov2Model = (url: string) => nets.tinyYolov2.load(url);\nexport const loadFaceLandmarkModel = (url: string) => nets.faceLandmark68Net.load(url);\nexport const loadFaceLandmarkTinyModel = (url: string) => nets.faceLandmark68TinyNet.load(url);\nexport const loadFaceRecognitionModel = (url: string) => nets.faceRecognitionNet.load(url);\nexport const loadFaceExpressionModel = (url: string) => nets.faceExpressionNet.load(url);\nexport const loadAgeGenderModel = (url: string) => nets.ageGenderNet.load(url);\n\n// backward compatibility\nexport const loadFaceDetectionModel = loadSsdMobilenetv1Model;\nexport const locateFaces = ssdMobilenetv1;\nexport const detectLandmarks = detectFaceLandmarks;\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\n\nexport class PredictFaceExpressionsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllFaceExpressionsTask> extends PredictFaceExpressionsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n\n const faceExpressionsByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(\n faces.map((face) => nets.faceExpressionNet.predictExpressions(face) as Promise),\n ),\n this.extractedFaces,\n );\n\n return parentResults.map(\n (parentResult, i) => extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]),\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsTask> extends PredictFaceExpressionsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n\n const faceExpressions = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceExpressionNet.predictExpressions(face) as Promise,\n this.extractedFaces,\n );\n\n return extendWithFaceExpressions(parentResult, faceExpressions);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictAllFaceExpressionsWithFaceAlignmentTask>> extends PredictAllFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsWithFaceAlignmentTask>> extends PredictSingleFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { TNetInput } from '../dom/index';\nimport { extendWithAge, WithAge } from '../factories/WithAge';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { extendWithGender, WithGender } from '../factories/WithGender';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class PredictAgeAndGenderTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllAgeAndGenderTask> extends PredictAgeAndGenderTaskBase>[], TSource[]> {\n public override async run(): Promise>[]> {\n const parentResults = await this.parentTask;\n const ageAndGenderByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(faces.map((face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise)),\n this.extractedFaces,\n );\n return parentResults.map((parentResult, i) => {\n const { age, gender, genderProbability } = ageAndGenderByFace[i];\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n });\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderTask> extends PredictAgeAndGenderTaskBase> | undefined, TSource | undefined> {\n public override async run(): Promise> | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const { age, gender, genderProbability } = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise,\n this.extractedFaces,\n );\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictAllAgeAndGenderWithFaceAlignmentTask>> extends PredictAllAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderWithFaceAlignmentTask>> extends PredictSingleAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDescriptor, WithFaceDescriptor } from '../factories/WithFaceDescriptor';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class ComputeFaceDescriptorsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n ) {\n super();\n }\n}\n\nexport class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const descriptors = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n (faces) => Promise.all(faces.map((face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise)),\n null,\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return descriptors.map((descriptor, i) => extendWithFaceDescriptor(parentResults[i], descriptor));\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n\nexport class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const descriptor = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise,\n null,\n // eslint-disable-next-line no-shadow, @typescript-eslint/no-shadow\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return extendWithFaceDescriptor(parentResult, descriptor);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class DetectFaceLandmarksTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected useTinyLandmarkNet: boolean,\n ) {\n super();\n }\n\n protected get landmarkNet(): FaceLandmark68Net | FaceLandmark68TinyNet {\n return this.useTinyLandmarkNet\n ? nets.faceLandmark68TinyNet\n : nets.faceLandmark68Net;\n }\n}\n\nexport class DetectAllFaceLandmarksTask> extends DetectFaceLandmarksTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const detections = parentResults.map((res) => res.detection);\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, detections)\n : await extractFaces(this.input, detections);\n const faceLandmarksByFace = await Promise.all(faces.map((face) => this.landmarkNet.detectLandmarks(face))) as FaceLandmarks68[];\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n const result = parentResults\n .filter((_parentResult, i) => faceLandmarksByFace[i])\n .map((parentResult, i) => extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]));\n return result;\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class DetectSingleFaceLandmarksTask> extends DetectFaceLandmarksTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n const { detection } = parentResult;\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, [detection])\n : await extractFaces(this.input, [detection]);\n const landmarks = await this.landmarkNet.detectLandmarks(faces[0]) as FaceLandmarks68;\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return extendWithFaceLandmarks(parentResult, landmarks);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { TinyYolov2Options } from '../tinyYolov2/index';\nimport { ComposableTask } from './ComposableTask';\nimport { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';\nimport { FaceDetectionOptions } from './types';\n\nexport class DetectFacesTaskBase extends ComposableTask {\n // eslint-disable-next-line no-unused-vars\n constructor(protected input: TNetInput, protected options: FaceDetectionOptions = new SsdMobilenetv1Options()) {\n super();\n }\n}\n\nexport class DetectAllFacesTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const { input, options } = this;\n let result;\n if (options instanceof TinyFaceDetectorOptions) result = nets.tinyFaceDetector.locateFaces(input, options);\n else if (options instanceof SsdMobilenetv1Options) result = nets.ssdMobilenetv1.locateFaces(input, options);\n else if (options instanceof TinyYolov2Options) result = nets.tinyYolov2.locateFaces(input, options);\n else throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options');\n return result;\n }\n\n private runAndExtendWithFaceDetections(): Promise[]> {\n return new Promise[]>((resolve, reject) => {\n this.run()\n .then((detections) => resolve(detections.map((detection) => extendWithFaceDetection({}, detection))))\n .catch((err) => reject(err));\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectAllFaceLandmarksTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n}\n\nexport class DetectSingleFaceTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const faceDetections = await new DetectAllFacesTask(this.input, this.options);\n let faceDetectionWithHighestScore = faceDetections[0];\n faceDetections.forEach((faceDetection) => {\n if (faceDetection.score > faceDetectionWithHighestScore.score) faceDetectionWithHighestScore = faceDetection;\n });\n return faceDetectionWithHighestScore;\n }\n\n private runAndExtendWithFaceDetection(): Promise | undefined> {\n // eslint-disable-next-line no-async-promise-executor\n return new Promise | undefined>(async (resolve) => {\n const detection = await this.run();\n resolve(detection ? extendWithFaceDetection<{}>({}, detection) : undefined);\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectSingleFaceLandmarksTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n}\n", "import { TNetInput } from '../dom/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { DetectAllFacesTask, DetectSingleFaceTask } from './DetectFacesTasks';\nimport { FaceDetectionOptions } from './types';\n\nexport function detectSingleFace(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectSingleFaceTask {\n return new DetectSingleFaceTask(input, options);\n}\n\nexport function detectAllFaces(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectAllFacesTask {\n return new DetectAllFacesTask(input, options);\n}\n", "import { TNetInput } from '../dom/index';\nimport { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/index';\nimport { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\nimport { detectAllFaces } from './detectFaces';\n\nexport async function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise>>[]> {\n return detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence } : {}))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport async function allFacesTinyYolov2(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise>>[]> {\n return detectAllFaces(input, new TinyYolov2Options(forwardParams))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport const allFaces = allFacesSsdMobilenetv1;\n", "export function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array) {\n if (arr1.length !== arr2.length) throw new Error('euclideanDistance: arr1.length !== arr2.length');\n const desc1 = Array.from(arr1);\n const desc2 = Array.from(arr2);\n return Math.sqrt(\n desc1\n .map((val, i) => val - desc2[i])\n .reduce((res, diff) => res + (diff * diff), 0),\n );\n}\n", "import { FaceMatch } from '../classes/FaceMatch';\nimport { LabeledFaceDescriptors } from '../classes/LabeledFaceDescriptors';\nimport { euclideanDistance } from '../euclideanDistance';\nimport { WithFaceDescriptor } from '../factories/index';\n\nexport class FaceMatcher {\n private _labeledDescriptors: LabeledFaceDescriptors[];\n private _distanceThreshold: number;\n\n constructor(inputs: LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>, distanceThreshold = 0.6) {\n this._distanceThreshold = distanceThreshold;\n const inputArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArray.length) throw new Error('FaceRecognizer.constructor - expected atleast one input');\n let count = 1;\n const createUniqueLabel = () => `person ${count++}`;\n this._labeledDescriptors = inputArray.map((desc) => {\n if (desc instanceof LabeledFaceDescriptors) return desc;\n if (desc instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc]);\n if (desc.descriptor && desc.descriptor instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);\n throw new Error('FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>');\n });\n }\n\n public get labeledDescriptors(): LabeledFaceDescriptors[] { return this._labeledDescriptors; }\n\n public get distanceThreshold(): number { return this._distanceThreshold; }\n\n public computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number {\n return descriptors\n .map((d) => euclideanDistance(d, queryDescriptor))\n .reduce((d1, d2) => d1 + d2, 0) / (descriptors.length || 1);\n }\n\n public matchDescriptor(queryDescriptor: Float32Array): FaceMatch {\n return this.labeledDescriptors\n .map(({ descriptors, label }) => new FaceMatch(label, this.computeMeanDistance(queryDescriptor, descriptors)))\n .reduce((best, curr) => (best.distance < curr.distance ? best : curr));\n }\n\n public findBestMatch(queryDescriptor: Float32Array): FaceMatch {\n const bestMatch = this.matchDescriptor(queryDescriptor);\n return (bestMatch.distance < this._distanceThreshold) ? bestMatch : new FaceMatch('unknown', bestMatch.distance);\n }\n\n public toJSON(): any {\n return {\n distanceThreshold: this._distanceThreshold,\n labeledDescriptors: this._labeledDescriptors.map((ld) => ld.toJSON()),\n };\n }\n\n public static fromJSON(json: any): FaceMatcher {\n const labeledDescriptors = json.labeledDescriptors.map((ld: any) => LabeledFaceDescriptors.fromJSON(ld));\n return new FaceMatcher(labeledDescriptors, json.distanceThreshold);\n }\n}\n", "import { TinyFaceDetector } from './TinyFaceDetector';\n\nexport * from './TinyFaceDetector';\nexport * from './TinyFaceDetectorOptions';\n\nexport function createTinyFaceDetector(weights: Float32Array) {\n const net = new TinyFaceDetector();\n net.extractWeights(weights);\n return net;\n}\n", "import { Dimensions, IDimensions } from './classes/index';\nimport { FaceDetection } from './classes/FaceDetection';\nimport { FaceLandmarks } from './classes/FaceLandmarks';\nimport { extendWithFaceDetection, isWithFaceDetection } from './factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, isWithFaceLandmarks } from './factories/WithFaceLandmarks';\n\nexport function resizeResults(results: T, dimensions: IDimensions): T {\n const { width, height } = new Dimensions(dimensions.width, dimensions.height);\n\n if (width <= 0 || height <= 0) {\n throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({ width, height })}`);\n }\n\n if (Array.isArray(results)) {\n // return results.map(obj => resizeResults(obj, { width, height })) as any as T\n return (results as Array).map((obj) => resizeResults(obj, { width, height } as IDimensions)) as any as T;\n }\n\n if (isWithFaceLandmarks(results)) {\n const resizedDetection = results.detection.forSize(width, height);\n const resizedLandmarks = results.unshiftedLandmarks.forSize(resizedDetection.box.width, resizedDetection.box.height);\n return extendWithFaceLandmarks(extendWithFaceDetection(results, resizedDetection), resizedLandmarks);\n }\n\n if (isWithFaceDetection(results)) {\n return extendWithFaceDetection(results, results.detection.forSize(width, height));\n }\n\n if (results instanceof FaceLandmarks || results instanceof FaceDetection) {\n return (results as any).forSize(width, height);\n }\n\n return results;\n}\n", "import * as tf from '../dist/tfjs.esm';\nimport * as draw from './draw/index';\nimport * as utils from './utils/index';\nimport * as pkg from '../package.json';\n\nexport { tf, draw, utils };\n\nexport * from './ageGenderNet/index';\nexport * from './classes/index';\nexport * from './dom/index';\nexport * from './env/index';\nexport * from './faceExpressionNet/index';\nexport * from './faceLandmarkNet/index';\nexport * from './faceRecognitionNet/index';\nexport * from './factories/index';\nexport * from './globalApi/index';\nexport * from './ops/index';\nexport * from './ssdMobilenetv1/index';\nexport * from './tinyFaceDetector/index';\nexport * from './tinyYolov2/index';\nexport * from './euclideanDistance';\nexport * from './NeuralNetwork';\nexport * from './resizeResults';\n\nexport const version = pkg.version as string;\n\n// set webgl defaults\n// if (browser) tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n"], - "mappings": ";;;;;;+XAAA,IAAAA,GAAA,GAAAC,GAAAD,GAAA,SAAAE,GAAA,SAAAC,GAAA,UAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,yBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,2BAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,kBAAAC,GAAA,iBAAAC,GAAA,0BAAAC,GAAA,wCAAAC,GAAA,uCAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,6BAAAC,GAAA,4BAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,iBAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,sBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,aAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,0BAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,0BAAAC,GAAA,8BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,iBAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,kBAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,2BAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,mBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,eAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,QAAAC,EAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,YAAAC,GAAA,iBAAAC,EAAA,kBAAAC,GAAA,cAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,+BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,oBAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,QAAAC,EAAA,UAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,yBAAAC,GAAA,oBAAAC,IAAA,eAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,UAAAC,GAAA,OAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,oBAAAC,GAAA,+BAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,YAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,QAAAC,EAAA,iBAAAC,GAAA,gBAAAC,GAAA,QAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,OAAAC,EAAA,iBAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,oBAAAC,GAAA,gCAAAC,GAAA,qBAAAC,GAAA,mBAAAC,GAAA,eAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,YAAAC,EAAA,YAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,oBAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,oBAAAC,IAAA,gBAAAC,IAAA,iBAAAC,IAAA,oBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,WAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,EAAA,SAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,cAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,qBAAAC,GAAA,uBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,SAAAC,EAAA,iBAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,YAAAC,IAAA,sBAAAC,GAAA,iBAAAC,GAAA,mBAAAC,GAAA,iBAAAC,IAAA,kBAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,cAAAC,KAMA,IAAIC,GAAG,OAAO,OAAWC,GAAG,OAAO,eAAmBC,GAAG,OAAO,yBAA6BC,GAAG,OAAO,oBAAwBC,GAAG,OAAO,eAAeC,GAAG,OAAO,UAAU,eAAmBC,GAAG,CAACC,EAAE,IAAI,KAAK,GAAGA,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,GAAG,QAAQ,CAAC,EAAE,EAAE,SAASC,GAAG,CAACD,EAAE,IAAI,CAAC,QAAQE,KAAK,EAAER,GAAGM,EAAEE,EAAE,CAAC,IAAI,EAAEA,GAAG,WAAW,EAAE,CAAC,CAAC,EAAEC,GAAG,CAACH,EAAE,EAAEE,EAAEE,IAAI,CAAC,GAAG,GAAG,OAAO,GAAG,UAAU,OAAO,GAAG,WAAW,QAAQC,KAAKT,GAAG,CAAC,EAAE,CAACE,GAAG,KAAKE,EAAEK,CAAC,GAAGA,IAAIH,GAAGR,GAAGM,EAAEK,EAAE,CAAC,IAAI,IAAI,EAAEA,GAAG,WAAW,EAAED,EAAET,GAAG,EAAEU,CAAC,IAAID,EAAE,UAAU,CAAC,EAAE,OAAOJ,CAAC,EAAMM,GAAG,CAACN,EAAE,EAAEE,KAAKA,EAAEF,GAAG,KAAKP,GAAGI,GAAGG,CAAC,CAAC,EAAE,CAAC,EAAEG,GAAG,GAAG,CAACH,GAAG,CAACA,EAAE,WAAWN,GAAGQ,EAAE,UAAU,CAAC,MAAMF,EAAE,WAAW,EAAE,CAAC,EAAEE,EAAEF,CAAC,GAAOO,GAAGR,GAAG,CAACS,EAAIC,IAAK,CAACA,EAAG,QAAQC,EAAG,IAAIC,EAAG,KAAK,GAAG,CAACA,EAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,IAAI,IAAI,IAAI,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,IAAI,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,IAAI,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,OAAOX,EAAN,CAAS,CAAC,SAASU,EAAGV,EAAEY,EAAEV,EAAE,CAAC,KAAK,IAAIF,EAAE,EAAE,KAAK,KAAKY,EAAE,EAAE,KAAK,SAAS,CAAC,CAACV,CAAC,CAACQ,EAAG,UAAU,WAAW,OAAO,eAAeA,EAAG,UAAU,aAAa,CAAC,MAAM,EAAE,CAAC,EAAE,SAASG,EAAGb,EAAE,CAAC,OAAOA,GAAGA,EAAE,cAAc,EAAE,CAACU,EAAG,OAAOG,EAAG,IAAIC,EAAG,CAAC,EAAEC,EAAG,CAAC,EAAE,SAASC,EAAGhB,EAAEY,EAAE,CAAC,IAAIV,EAAEE,EAAEC,EAAE,OAAOO,GAAGZ,KAAK,GAAGK,EAAE,GAAGL,GAAGA,EAAE,OAAOI,EAAEW,EAAGf,GAAGI,GAAGA,GAAGF,EAAEe,EAAGjB,GAAGA,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAEK,IAAIU,EAAGf,GAAGE,GAAGA,KAAKF,GAAG,GAAGK,EAAE,MAAML,GAAGA,EAAE,OAAOI,EAAEU,EAAGd,GAAGI,GAAGA,GAAGF,EAAEe,EAAGjB,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEK,IAAIS,EAAGd,GAAGE,GAAGA,GAAG,CAACQ,EAAG,QAAQM,EAAG,SAASE,EAAGlB,EAAEY,EAAE,CAAC,GAAG,MAAMZ,CAAC,EAAE,OAAOY,EAAEO,EAAGC,EAAG,GAAGR,EAAE,CAAC,GAAGZ,EAAE,EAAE,OAAOmB,EAAG,GAAGnB,GAAGqB,EAAG,OAAOC,CAAE,KAAK,CAAC,GAAGtB,GAAG,CAACuB,EAAG,OAAOC,EAAG,GAAGxB,EAAE,GAAGuB,EAAG,OAAOE,CAAE,CAAC,OAAOzB,EAAE,EAAEkB,EAAG,CAAClB,EAAEY,CAAC,EAAE,IAAI,EAAEK,EAAGjB,EAAE0B,EAAG,EAAE1B,EAAE0B,EAAG,EAAEd,CAAC,CAAC,CAACF,EAAG,WAAWQ,EAAG,SAASD,EAAGjB,EAAEY,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGV,EAAEY,EAAEV,CAAC,CAAC,CAACQ,EAAG,SAASO,EAAG,IAAIU,EAAG,KAAK,IAAI,SAASC,EAAG5B,EAAEY,EAAEV,EAAE,CAAC,GAAGF,EAAE,SAAS,EAAE,MAAM,MAAM,cAAc,EAAE,GAAGA,IAAI,OAAOA,IAAI,YAAYA,IAAI,aAAaA,IAAI,YAAY,OAAOoB,EAAG,GAAG,OAAOR,GAAG,UAAUV,EAAEU,EAAEA,EAAE,IAAIA,EAAE,CAAC,CAACA,EAAEV,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,IAAIE,EAAE,IAAIA,EAAEJ,EAAE,QAAQ,GAAG,GAAG,EAAE,MAAM,MAAM,iBAAiB,EAAE,GAAGI,IAAI,EAAE,OAAOwB,EAAG5B,EAAE,UAAU,CAAC,EAAEY,EAAEV,CAAC,EAAE,IAAI,EAAE,QAAQG,EAAEa,EAAGS,EAAGzB,EAAE,CAAC,CAAC,EAAE2B,EAAET,EAAGU,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,GAAG,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE/B,EAAE,OAAO8B,CAAC,EAAEE,EAAE,SAAShC,EAAE,UAAU8B,EAAEA,EAAEC,CAAC,EAAE7B,CAAC,EAAE,GAAG6B,EAAE,EAAE,CAAC,IAAIE,GAAEf,EAAGS,EAAGzB,EAAE6B,CAAC,CAAC,EAAEF,EAAEA,EAAE,IAAII,EAAC,EAAE,IAAIf,EAAGc,CAAC,CAAC,CAAC,MAAMH,EAAEA,EAAE,IAAIxB,CAAC,EAAEwB,EAAEA,EAAE,IAAIX,EAAGc,CAAC,CAAC,CAAC,CAAC,OAAOH,EAAE,SAASjB,EAAEiB,CAAC,CAACnB,EAAG,WAAWkB,EAAG,SAASM,EAAGlC,EAAEY,EAAE,CAAC,OAAO,OAAOZ,GAAG,SAASkB,EAAGlB,EAAEY,CAAC,EAAE,OAAOZ,GAAG,SAAS4B,EAAG5B,EAAEY,CAAC,EAAEK,EAAGjB,EAAE,IAAIA,EAAE,KAAK,OAAOY,GAAG,UAAUA,EAAEZ,EAAE,QAAQ,CAAC,CAACU,EAAG,UAAUwB,EAAG,IAAIC,EAAG,GAAG,GAAGC,EAAG,GAAG,GAAGV,EAAGS,EAAGA,EAAGd,EAAGK,EAAGA,EAAGH,EAAGF,EAAG,EAAEgB,EAAGrB,EAAGoB,CAAE,EAAEhB,EAAGJ,EAAG,CAAC,EAAEN,EAAG,KAAKU,EAAG,IAAID,EAAGH,EAAG,EAAE,EAAE,EAAEN,EAAG,MAAMS,EAAG,IAAImB,EAAGtB,EAAG,CAAC,EAAEN,EAAG,IAAI4B,EAAG,IAAIC,EAAGvB,EAAG,EAAE,EAAE,EAAEN,EAAG,KAAK6B,EAAG,IAAIC,EAAGxB,EAAG,EAAE,EAAEN,EAAG,QAAQ8B,EAAG,IAAIf,EAAGR,EAAG,GAAG,WAAW,EAAE,EAAEP,EAAG,UAAUe,EAAG,IAAIH,EAAGL,EAAG,GAAG,GAAG,EAAE,EAAEP,EAAG,mBAAmBY,EAAG,IAAIE,EAAGP,EAAG,EAAE,YAAY,EAAE,EAAEP,EAAG,UAAUc,EAAG,IAAIiB,EAAG/B,EAAG,UAAU+B,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,GAAG,EAAEA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,GAAGf,GAAI,KAAK,MAAM,GAAG,KAAK,KAAKA,GAAI,KAAK,MAAM,EAAE,EAAEe,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAGA,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,GAAG,KAAK,WAAW,EAAE,GAAG,KAAK,GAAGY,CAAE,EAAE,CAAC,IAAItB,EAAEgB,EAAGN,CAAC,EAAER,EAAE,KAAK,IAAIF,CAAC,EAAEG,EAAED,EAAE,IAAIF,CAAC,EAAE,IAAI,IAAI,EAAE,OAAOE,EAAE,SAASQ,CAAC,EAAEP,EAAE,MAAM,EAAE,SAASO,CAAC,CAAC,KAAM,OAAM,IAAI,KAAK,IAAI,EAAE,SAASA,CAAC,EAAE,QAAQiB,EAAEX,EAAGS,EAAGf,EAAE,CAAC,EAAE,KAAK,QAAQ,EAAEkB,EAAE,KAAKC,EAAE,KAAK,CAAC,IAAIC,EAAEF,EAAE,IAAID,CAAC,EAAEI,EAAEH,EAAE,IAAIE,EAAE,IAAIH,CAAC,CAAC,EAAE,MAAM,IAAI,EAAEa,GAAET,EAAE,SAASrB,CAAC,EAAE,GAAGkB,EAAEE,EAAEF,EAAE,OAAO,EAAE,OAAOY,GAAEX,EAAE,KAAKW,GAAE,OAAO,GAAGA,GAAE,IAAIA,GAAEX,EAAE,GAAGW,GAAEX,CAAC,CAAC,EAAEU,EAAG,YAAY,UAAU,CAAC,OAAO,KAAK,IAAI,EAAEA,EAAG,oBAAoB,UAAU,CAAC,OAAO,KAAK,OAAO,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,GAAG,EAAEA,EAAG,mBAAmB,UAAU,CAAC,OAAO,KAAK,MAAM,CAAC,EAAEA,EAAG,cAAc,UAAU,CAAC,GAAG,KAAK,WAAW,EAAE,OAAO,KAAK,GAAGjB,CAAE,EAAE,GAAG,KAAK,IAAI,EAAE,cAAc,EAAE,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,IAAIV,EAAE,GAAGA,EAAE,IAAIU,EAAE,GAAGV,IAAI,EAAEA,IAAI,CAAC,OAAO,KAAK,MAAM,EAAEA,EAAE,GAAGA,EAAE,CAAC,EAAEuC,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,OAAO,GAAG,KAAK,MAAM,CAAC,EAAEA,EAAG,IAAIA,EAAG,OAAOA,EAAG,WAAW,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,KAAK,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,MAAM,CAAC,EAAEA,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,WAAWA,EAAE,UAAU,KAAK,OAAO,KAAK,GAAGA,EAAE,OAAO,KAAK,EAAE,GAAG,KAAK,OAAOA,EAAE,MAAM,KAAK,MAAMA,EAAE,GAAG,EAAE6B,EAAG,GAAGA,EAAG,OAAOA,EAAG,UAAU,SAAS7B,EAAE,CAAC,MAAM,CAAC,KAAK,GAAGA,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,GAAGA,EAAG,UAAUA,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,SAASA,EAAG,gBAAgB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,gBAAgBA,EAAG,GAAGA,EAAG,gBAAgBA,EAAG,YAAY,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,YAAYA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,mBAAmBA,EAAG,GAAGA,EAAG,mBAAmBA,EAAG,QAAQ,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,GAAGA,CAAC,EAAE,MAAO,GAAE,IAAIV,EAAE,KAAK,WAAW,EAAEE,EAAEQ,EAAE,WAAW,EAAE,OAAOV,GAAG,CAACE,EAAE,GAAG,CAACF,GAAGE,EAAE,EAAE,KAAK,SAASQ,EAAE,OAAO,EAAE,KAAK,OAAO,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,GAAG,EAAE,KAAK,IAAIA,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,EAAE6B,EAAG,KAAKA,EAAG,QAAQA,EAAG,OAAO,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,GAAGjB,CAAE,EAAEA,EAAG,KAAK,IAAI,EAAE,IAAIc,CAAE,CAAC,EAAEG,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,SAAS7B,EAAE,CAACC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,IAAIV,EAAE,KAAK,OAAO,GAAGE,EAAE,KAAK,KAAK,MAAMC,EAAE,KAAK,MAAM,GAAGwB,EAAE,KAAK,IAAI,MAAMC,EAAElB,EAAE,OAAO,GAAGmB,EAAEnB,EAAE,KAAK,MAAMoB,EAAEpB,EAAE,MAAM,GAAGqB,EAAErB,EAAE,IAAI,MAAM8B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEI,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGxC,EAAE4B,EAAEY,IAAG,MAAMzB,EAAG2B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEF,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,IAAIA,EAAE,IAAI,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,SAASA,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,OAAOQ,EAAG,GAAGP,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIT,EAAES,EAAG,IAAI,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAGC,EAAE,OAAO,EAAE,OAAOQ,EAAG,GAAG,KAAK,GAAGI,CAAE,EAAE,OAAOZ,EAAE,MAAM,EAAEY,EAAGJ,EAAG,GAAGR,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,MAAM,EAAEA,EAAGJ,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,GAAGyB,CAAE,GAAGzB,EAAE,GAAGyB,CAAE,EAAE,OAAOnB,EAAG,KAAK,SAAS,EAAEN,EAAE,SAAS,EAAE,KAAK,QAAQ,EAAE,IAAIR,EAAE,KAAK,OAAO,GAAGC,EAAE,KAAK,KAAK,MAAMwB,EAAE,KAAK,MAAM,GAAGC,EAAE,KAAK,IAAI,MAAMC,EAAEnB,EAAE,OAAO,GAAGoB,EAAEpB,EAAE,KAAK,MAAMqB,EAAErB,EAAE,MAAM,GAAG8B,GAAE9B,EAAE,IAAI,MAAM+B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEY,GAAEG,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGhB,EAAEa,GAAEE,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEG,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEqC,GAAEC,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEI,EAAEU,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGd,EAAEE,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEsC,GAAErC,EAAE4B,EAAEJ,EAAEG,EAAEF,EAAEC,EAAEY,IAAG,MAAM1B,EAAG4B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEH,EAAG,IAAIA,EAAG,SAASA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,MAAM,kBAAkB,EAAE,GAAGD,EAAG,CAAC,GAAG,CAAC,KAAK,UAAU,KAAK,OAAO,aAAaC,EAAE,MAAM,IAAIA,EAAE,OAAO,GAAG,OAAO,KAAK,IAAIV,GAAG,KAAK,SAASS,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAG,KAAK,OAAO,EAAE,OAAO,KAAK,SAASQ,EAAGC,EAAG,IAAIhB,EAAEC,EAAEwB,EAAE,GAAG,KAAK,SAAS,CAAC,GAAGjB,EAAE,WAAWA,EAAEA,EAAE,WAAW,GAAGA,EAAE,GAAG,IAAI,EAAE,OAAOO,EAAG,GAAGP,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC,EAAE,OAAO2B,EAAGV,EAAEV,CAAE,KAAK,CAAC,GAAG,KAAK,GAAGK,CAAE,EAAE,CAAC,GAAGZ,EAAE,GAAG0B,CAAE,GAAG1B,EAAE,GAAG4B,CAAE,EAAE,OAAOhB,EAAG,GAAGZ,EAAE,GAAGY,CAAE,EAAE,OAAOc,EAAG,IAAIR,EAAE,KAAK,IAAI,CAAC,EAAE,OAAO1B,EAAE0B,EAAE,IAAIlB,CAAC,EAAE,IAAI,CAAC,EAAER,EAAE,GAAGgB,CAAE,EAAER,EAAE,WAAW,EAAE0B,EAAGE,GAAInC,EAAE,KAAK,IAAIO,EAAE,IAAIR,CAAC,CAAC,EAAEyB,EAAEzB,EAAE,IAAIC,EAAE,IAAIO,CAAC,CAAC,EAAEiB,EAAE,SAASjB,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,SAASL,EAAGC,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAEiB,EAAET,CAAE,CAAC,IAAIf,EAAE,KAAKA,EAAE,IAAIO,CAAC,GAAG,CAACR,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMC,EAAE,SAAS,EAAEO,EAAE,SAAS,CAAC,CAAC,EAAE,QAAQmB,EAAE,KAAK,KAAK,KAAK,IAAI3B,CAAC,EAAE,KAAK,GAAG,EAAE4B,EAAED,GAAG,GAAG,EAAEJ,EAAG,EAAEI,EAAE,EAAE,EAAEE,EAAEf,EAAGd,CAAC,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAE8B,GAAE,WAAW,GAAGA,GAAE,GAAGrC,CAAC,GAAGD,GAAG4B,EAAEC,EAAEf,EAAGd,EAAE,KAAK,QAAQ,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAEqB,EAAE,OAAO,IAAIA,EAAEK,GAAIT,EAAEA,EAAE,IAAII,CAAC,EAAE5B,EAAEA,EAAE,IAAIqC,EAAC,CAAC,CAAC,OAAOb,CAAC,EAAEY,EAAG,IAAIA,EAAG,OAAOA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIT,GAAG,KAAK,SAASS,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,OAAO,KAAK,IAAI,KAAK,IAAIC,CAAC,EAAE,IAAIA,CAAC,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,UAAU,CAAC,OAAOxB,EAAG,CAAC,KAAK,IAAI,CAAC,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAEwB,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,GAAG,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,UAAU,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,KAAKL,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,QAAQ,EAAEK,EAAG,EAAE,KAAK,KAAKL,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,WAAW,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,MAAML,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,MAAMA,EAAE,KAAK,QAAQ,EAAEK,EAAG,KAAK,MAAML,EAAE,GAAG,KAAK,MAAM,EAAE,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,WAAWA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,GAAGA,GAAG,GAAGA,IAAI,EAAE,OAAO,KAAK,IAAIV,EAAE,KAAK,KAAK,GAAGU,EAAE,GAAG,CAAC,IAAIR,EAAE,KAAK,IAAI,OAAOa,EAAGb,IAAIQ,EAAEV,GAAG,GAAGU,EAAEV,IAAIU,EAAE,KAAK,QAAQ,CAAC,KAAM,QAAOA,IAAI,GAAGK,EAAGf,EAAE,EAAE,KAAK,QAAQ,EAAEe,EAAGf,IAAIU,EAAE,GAAG,EAAE,KAAK,QAAQ,CAAC,EAAE6B,EAAG,KAAKA,EAAG,mBAAmBA,EAAG,MAAMA,EAAG,mBAAmBA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,SAASxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,EAAE,IAAI,EAAEwB,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,SAAS,KAAKxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,EAAEwB,EAAG,QAAQ,SAAS7B,EAAE,CAAC,OAAOA,EAAE,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKV,EAAE,KAAK,IAAI,MAAM,CAACA,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,GAAGU,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,EAAE,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKV,EAAE,KAAK,IAAI,MAAM,CAACU,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,IAAIV,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,GAAG,CAAC,EAAEQ,EAAG,UAAU,SAASE,EAAEV,EAAEE,EAAE,CAAC,OAAOA,EAAEM,EAAG,YAAYE,EAAEV,CAAC,EAAEQ,EAAG,YAAYE,EAAEV,CAAC,CAAC,EAAEQ,EAAG,YAAY,SAASE,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGE,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,GAAGA,EAAE,IAAI,EAAEA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGV,CAAC,CAAC,EAAEQ,EAAG,YAAY,SAASE,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGE,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAEA,EAAE,GAAGV,CAAC,CAAC,CAAC,CAAC,EAAM6C,GAAGhD,GAAG,IAAI,CAAC,CAAC,EAAMiD,GAAGjD,GAAG,IAAI,CAAC,CAAC,EAAMkD,GAAGlD,GAAG,CAACmD,EAAGC,IAAK,EAAE,SAASnD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE2B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAEH,EAAE,EAAEE,EAAE,KAAK,UAAU,CAAC,IAAI,EAAE,QAAQA,EAAE,GAAGA,EAAE,EAAE,sBAAsB,OAAOA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGC,EAAE,IAAI,CAAC,SAAS5B,EAAE0B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,CAAC,CAAC,SAASH,EAAEE,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI7B,EAAE2B,CAAC,EAAE,EAAEC,GAAGA,EAAE,MAAMW,EAAEV,EAAE,KAAK,OAAOU,EAAE,MAAM,UAAU,CAAC,OAAOV,EAAE,KAAK,EAAE,WAAW,CAAC,EAAEU,EAAE,OAAO,UAAU,CAAC,OAAOA,EAAE,GAAGA,EAAE,EAAE,QAAQ,GAAG,qBAAqB,EAAEA,EAAE,MAAMA,EAAE,IAAI,OAAO,GAAG,UAAUtC,EAAE,EAAE4B,CAAC,EAAEU,EAAE,MAAM,UAAU,CAAC,OAAOtC,EAAE4B,EAAE,CAAC,CAAC,CAAC,GAAGU,CAAC,CAAC,SAASb,GAAG,CAAC,IAAIC,EAAE,WAAWC,EAAE,SAASC,EAAE,CAACA,EAAE,OAAOA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAACF,GAAGE,EAAE,WAAW,CAAC,EAAE,IAAIU,EAAE,mBAAmBZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEY,GAAGZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEA,GAAGY,EAAE,UAAU,CAAC,OAAOZ,IAAI,GAAG,qBAAqB,EAAE,OAAOC,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,KAAKA,CAAC,GAAGqB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGrD,GAAG,CAACsD,EAAGC,IAAK,EAAE,SAAStD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGwB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGxD,GAAG,CAACyD,EAAGC,IAAK,EAAE,SAASzD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,IAAI,EAAE,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,EAAEA,EAAE,EAAE,OAAO,IAAIA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,EAAE,GAAG,IAAI,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEA,GAAGD,EAAE,SAASD,EAAE,EAAEA,EAAE,GAAG,GAAGA,EAAE,IAAI,GAAGA,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAG2B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG3D,GAAG,CAAC4D,EAAGC,IAAK,EAAE,SAAS5D,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAE,EAAE,EAAE,OAAOA,EAAEV,EAAE,GAAGU,GAAGA,IAAI,EAAE,EAAEA,EAAEA,GAAG,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,GAAGA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,IAAI,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAG,GAAGU,EAAEA,GAAG,EAAEA,EAAEV,EAAE,EAAE,EAAE,GAAGU,EAAEA,EAAEA,GAAG,GAAG,GAAGA,EAAEA,GAAG,EAAEV,EAAE,GAAG,EAAEF,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,SAASC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,GAAG,MAAO,KAAI,EAAE,GAAG,EAAEA,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,GAAG,EAAE,WAAWA,CAAC,EAAE,EAAEA,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,OAAO,GAAG,EAAE,KAAK,CAAC,EAAE,IAAIA,EAAE,EAAEA,EAAE,GAAG,EAAEA,KAAK,EAAE,EAAEA,EAAE,CAAC,IAAIA,GAAG,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAEA,GAAGV,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEU,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEV,EAAE,KAAK,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,UAAUA,CAAC,GAAG8B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG9D,GAAG,CAAC+D,EAAGC,IAAK,EAAE,SAAS/D,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAE,OAAOA,EAAE,EAAEE,EAAEA,EAAE,WAAW,EAAE,EAAE,EAAEU,EAAE,GAAG,KAAK,EAAE,EAAEA,EAAEA,EAAE,EAAE,KAAK,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,EAAE,EAAEA,GAAG,EAAE,EAAEZ,EAAE,EAAEY,EAAE,GAAGV,EAAEA,IAAI,IAAI,CAAC,EAAE,SAASD,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAEG,EAAEkB,EAAEC,EAAE,CAAC,EAAE,EAAE,IAAI,IAAI,KAAK,EAAE,IAAI,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,MAAM,GAAG,EAAE,EAAEnB,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,IAAI,GAAG,EAAE,YAAYA,EAAE,IAAI,EAAE,MAAM,GAAGA,IAAI,IAAIkB,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,EAAE,GAAG,IAAI,GAAGlB,GAAG,IAAIkB,EAAEA,EAAE,WAAW,EAAErB,EAAEsB,EAAEnB,EAAE,MAAM,EAAEkB,EAAE,EAAErB,GAAG,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,MAAMsB,GAAG,GAAG,EAAE,QAAQ,GAAG,KAAK,IAAI,EAAE,IAAInB,EAAE,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,EAAEmB,EAAE,EAAE,GAAG,KAAKtB,EAAEsB,EAAE,EAAE,EAAE,EAAE,KAAK,GAAG,GAAG,GAAGtB,GAAGA,GAAG,GAAG,GAAG,IAAI,GAAGA,GAAGA,IAAI,GAAGsB,EAAE,GAAG,EAAEtB,EAAEV,EAAE,EAAE+B,EAAE/B,EAAE,EAAEgC,EAAEhC,EAAE,EAAE,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,QAAQA,CAAC,GAAGiC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMG,GAAGnE,GAAG,CAACoE,EAAGC,IAAK,EAAE,SAASpE,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,GAAG,GAAG,IAAI,EAAEY,EAAEA,EAAEA,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,GAAGY,EAAEZ,EAAE,EAAEY,EAAEA,EAAE,EAAE,EAAEZ,EAAE,EAAE,GAAG,GAAGY,IAAI,GAAG,EAAEZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,YAAYA,EAAE,EAAE,WAAWD,IAAI,KAAK,MAAMA,CAAC,GAAGC,EAAE,EAAED,EAAE,WAAW,EAAEC,EAAE,EAAED,EAAE,GAAGE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGsC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGtE,GAAG,IAAI,CAAC,CAAC,EAAMuE,GAAGvE,GAAG,CAACwE,EAAGC,IAAK,EAAE,SAASxE,EAAEY,EAAEV,EAAE,CAAC,IAAIE,EAAE,IAAIC,EAAE,EAAEwB,EAAE,GAAGC,EAAE,SAASC,EAAE7B,EAAE,IAAIE,EAAEC,CAAC,EAAE2B,EAAE9B,EAAE,IAAI,EAAE2B,CAAC,EAAEI,EAAED,EAAE,EAAE,EAAE5B,EAAE,EAAEuC,EAAE,SAAS,EAAE8B,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEF,EAAEA,GAAG,GAAG,CAAC,QAAQ,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAIG,EAAEZ,EAAED,EAAEU,EAAE,QAAQ,CAACD,EAAEK,EAAElE,CAAC,CAAC,EAAE6D,GAAG,KAAK,EAAE,EAAEA,EAAE,CAAC,EAAEG,CAAC,EAAEG,EAAE,IAAI,EAAEH,CAAC,EAAE,EAAE,UAAU,CAAC,QAAQI,EAAED,EAAE,EAAE1E,CAAC,EAAE4E,EAAElD,EAAEmD,EAAE,EAAEF,EAAEhD,GAAGgD,GAAGA,EAAEE,GAAG9E,EAAE6E,GAAG7E,EAAE8E,EAAEH,EAAE,EAAE,CAAC,EAAE,KAAKC,GAAG/C,GAAG+C,GAAG,EAAEC,GAAG,EAAEC,KAAK,EAAE,OAAOF,EAAEE,GAAGD,CAAC,EAAE,OAAO,EAAE,MAAM,UAAU,CAAC,OAAOF,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,OAAO,EAAEd,EAAEa,EAAEC,EAAE,CAAC,EAAEnE,CAAC,GAAG8D,EAAE,MAAMC,GAAG,SAASK,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOA,IAAIA,EAAE,GAAGrC,EAAEqC,EAAEJ,CAAC,EAAEC,EAAE,MAAM,UAAU,CAAC,OAAOlC,EAAEiC,EAAE,CAAC,CAAC,CAAC,GAAGG,GAAGhF,EAAE4B,GAAGkD,EAAEC,GAAGD,CAAC,GAAG,EAAEH,EAAE,WAAWH,EAAEA,EAAE,OAAO,MAAMxE,EAAEwE,EAAE,KAAK,CAAC,CAAC,SAAS,EAAED,EAAE,CAAC,IAAIC,EAAEC,EAAEF,EAAE,OAAOG,EAAE,KAAKC,EAAE,EAAEE,EAAEH,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,IAAID,IAAIF,EAAE,CAACE,GAAG,GAAGE,EAAEzE,GAAG,EAAEyE,GAAGA,IAAI,IAAIA,EAAE,EAAEA,EAAEzE,EAAEyE,IAAI,EAAEA,GAAG,EAAEE,EAAE,EAAEA,EAAEN,EAAEI,EAAEF,IAAID,EAAE,EAAEG,KAAK,EAAEE,GAAGL,GAAGE,EAAE,EAAE,SAASI,EAAE,CAAC,QAAQC,EAAEC,EAAE,EAAEC,EAAEP,EAAE,EAAEQ,EAAER,EAAE,EAAES,EAAET,EAAE,EAAEI,KAAKC,EAAEI,EAAEF,EAAE,EAAEA,EAAE,GAAGD,EAAEA,EAAE9E,EAAEiF,EAAE,GAAGA,EAAEF,GAAGE,EAAED,EAAE,EAAEA,EAAEH,KAAKI,EAAED,GAAGH,IAAI,OAAOL,EAAE,EAAEO,EAAEP,EAAE,EAAEQ,EAAEF,CAAC,GAAG9E,CAAC,CAAC,CAAC,SAAS0C,EAAE2B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASV,EAAES,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,OAAOH,EAAEI,EAAE,GAAGH,GAAGE,GAAG,SAAS,IAAIC,KAAKJ,EAAE,GAAG,CAACE,EAAE,KAAKX,EAAES,EAAEI,GAAGH,EAAE,CAAC,CAAC,CAAC,OAAOK,EAAN,CAAS,CAAC,OAAOJ,EAAE,OAAOA,EAAEC,GAAG,SAASH,EAAEA,EAAE,IAAI,CAAC,SAASR,EAAEQ,EAAEC,EAAE,CAAC,QAAQC,EAAEF,EAAE,GAAGG,EAAEC,EAAE,EAAEA,EAAEF,EAAE,QAAQD,EAAE,EAAEG,GAAG,GAAGD,GAAGF,EAAE,EAAEG,GAAG,IAAIF,EAAE,WAAWE,GAAG,EAAE,OAAOC,EAAEJ,CAAC,CAAC,CAAC,SAAS,GAAG,CAAC,GAAG,CAAC,IAAID,EAAE,OAAO9B,IAAI8B,EAAE9B,EAAE,aAAa8B,EAAEA,EAAErE,CAAC,GAAGqE,EAAE,IAAI,WAAWrE,CAAC,GAAGJ,EAAE,QAAQA,EAAE,UAAU,gBAAgByE,CAAC,GAAGK,EAAEL,CAAC,CAAC,OAAOG,EAAN,CAAS,IAAIF,EAAE1E,EAAE,UAAU2E,EAAED,GAAGA,EAAE,QAAQ,MAAM,CAAC,CAAC,IAAI,KAAK1E,EAAE2E,EAAE3E,EAAE,OAAO8E,EAAElE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASkE,EAAEL,EAAE,CAAC,OAAO,OAAO,aAAa,MAAM,EAAEA,CAAC,CAAC,CAAC,GAAGR,EAAE/D,EAAE,OAAO,EAAEU,CAAC,EAAE,OAAO4D,GAAI,UAAUA,EAAG,QAAQ,CAACA,EAAG,QAAQ,EAAE,GAAG,CAAC7B,EAAE0B,GAAG,CAAC,OAAOI,EAAN,CAAS,CAAC,MAAM,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,UAAU,CAAC,OAAO,CAAC,CAAC,EAAEvE,EAAE,OAAO4B,GAAG,CAAC,GAAG,OAAO,MAAM,YAAY,KAAKyC,EAAG,CAAC,EAAE,IAAI,CAAC,CAAC,EAAMe,GAAGvF,GAAG,CAACwF,EAAIC,IAAK,CAAC,IAAIC,EAAGxC,GAAG,EAAEyC,EAAGtC,GAAG,EAAEuC,EAAGpC,GAAG,EAAEqC,EAAGlC,GAAG,EAAEmC,EAAGhC,GAAG,EAAEiC,EAAG5B,GAAG,EAAE6B,EAAGzB,GAAG,EAAEyB,EAAG,KAAKN,EAAGM,EAAG,OAAOL,EAAGK,EAAG,OAAOJ,EAAGI,EAAG,UAAUH,EAAGG,EAAG,QAAQF,EAAGE,EAAG,OAAOD,EAAGN,EAAG,QAAQO,CAAE,CAAC,EAAMC,GAAGjG,GAAG,IAAI,CAAC,CAAC,EAAMkG,GAAGlG,GAAG,IAAI,CAAC,CAAC,EAAMmG,GAAGnG,GAAG,IAAI,CAAC,CAAC,EAAMoG,GAAGpG,GAAG,IAAI,CAAC,CAAC,EAAMqG,GAAGrG,GAAG,IAAI,CAAC,CAAC,EAAMsG,GAAGtG,GAAG,IAAI,CAAC,CAAC,EAAMuG,GAAGvG,GAAG,CAACwG,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAIzG,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASY,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,SAASV,GAAG,CAAC,OAAOwG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEG,EAAE,CAAC,SAASzG,GAAG,CAAC,OAAOsG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEI,EAAE,CAAC,SAAS,GAAG,CAAC,OAAOJ,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEK,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO6E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEM,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO4E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEO,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO2E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEQ,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO0E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAES,EAAE,CAAC,IAAIlF,EAAE,OAAOrB,GAAG,YAAYA,EAAE,CAAC,EAAE8B,EAAEC,EAAEV,EAAE,MAAM,IAAI,QAAQ,SAASmF,EAAEC,EAAE,CAAC3E,EAAE0E,EAAEzE,EAAE0E,CAAC,CAAC,EAAE,IAAIzE,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAEZ,CAAC,EAAEa,EAAE,CAAC,EAAEkB,EAAE,iBAAiBC,EAAE,CAACmD,EAAEC,IAAI,CAAC,MAAMA,CAAC,EAAEC,EAAE,OAAO,QAAQ,SAASxC,EAAE,OAAO,eAAe,WAAWL,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAAS,EAAExC,EAAE,wBAAwB,GAAG0C,EAAE,GAAG,SAASC,EAAEwC,EAAE,CAAC,OAAOnF,EAAE,WAAWA,EAAE,WAAWmF,EAAEzC,CAAC,EAAEA,EAAEyC,CAAC,CAAC,IAAIvC,EAAEE,EAAEwC,EAAEvC,EAAE,SAASC,EAAEmC,EAAE,CAAIA,aAAaI,IAAUC,EAAE,6BAA6BL,CAAC,CAAC,CAAC,GAAG3C,EAAE,CAAC,IAAIS,EAAEe,GAAG,EAAEd,EAAEe,GAAG,EAAEpB,EAAEH,EAAEQ,EAAE,QAAQR,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAIE,EAAE,CAACwC,EAAEK,MAAML,EAAEM,GAAGN,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,aAAamC,EAAEK,GAAG,OAAO,MAAM,GAAGH,EAAEF,GAAG,CAAC,IAAIK,GAAG7C,EAAEwC,EAAE,EAAE,EAAE,OAAOK,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAE3C,EAAE,CAACsC,EAAEK,GAAGE,KAAK,CAACP,EAAEM,GAAGN,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,SAASmC,EAAE,SAASQ,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEH,GAAGI,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAI9D,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGlB,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASuE,EAAE,CAAC,GAAG,EAAEA,aAAaG,IAAI,MAAMH,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEpD,EAAE,CAACoD,EAAEK,KAAK,CAAC,GAAGK,GAAG,EAAE,MAAM,QAAQ,SAASV,EAAEK,GAAGzC,EAAEyC,EAAE,EAAE,QAAQ,KAAKL,CAAC,CAAC,EAAEpF,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,EAAE,IAAImF,EAAE,GAAG,CAACA,EAAEjB,GAAG,CAAC,OAAOkB,EAAN,CAAS,MAAM,QAAQ,MAAM,yGAAyG,EAAEA,CAAC,CAAC,OAAO,OAAOD,EAAE,MAAM,MAAME,GAAGxC,KAAKA,EAAEH,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK,OAAO3E,GAAG,aAAaA,IAAI2E,EAAE3E,GAAG2E,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGF,IAAII,EAAEuC,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,KAAK,IAAI,EAAEA,EAAE,YAAY,EAAEvC,IAAIyC,EAAEH,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,aAAa,cAAcA,EAAE,KAAK,IAAI,EAAE,IAAI,WAAWA,EAAE,QAAQ,CAAC,GAAGtC,EAAE,CAACqC,EAAEC,EAAEK,KAAK,CAAC,IAAIE,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMR,EAAE,EAAE,EAAEQ,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACP,EAAEO,GAAG,QAAQ,EAAE,MAAM,CAACF,GAAG,CAAC,EAAEE,GAAG,QAAQF,GAAGE,GAAG,KAAK,IAAI,CAAC,GAAG5C,EAAEoC,GAAG,SAAS,MAAMA,GAAG3C,GAAG,OAAO,aAAa,cAAc,OAAO,YAAY2B,GAAG,EAAE,aAAa,IAAIhB,EAAE,QAAQ,IAAI,KAAK,OAAO,EAAEC,EAAE,QAAQ,KAAK,KAAK,OAAO,EAAEZ,IAAIW,EAAEgC,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CAC9moB,EAAE/B,EAAE+B,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CACvB,GAAG,IAAIY,EAAE/F,EAAE,OAAOmD,EAAEqC,EAAExF,EAAE,UAAUoD,EAAE,OAAO,OAAOpD,EAAEY,CAAC,EAAEA,EAAE,KAAKZ,EAAE,YAAYa,EAAEb,EAAE,WAAWA,EAAE,cAAc+B,EAAE/B,EAAE,aAAaA,EAAE,OAAOgC,EAAEhC,EAAE,MAAM,IAAIgG,GAAE,EAAEC,GAAG,QAAQ,KAAKC,GAAG,QAAQ,MAAMC,GAAG,QAAQ,gBAAgBC,GAAGpG,EAAE,aAAaoG,GAAGpG,EAAE,YAAY,IAAIqG,GAAGrG,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUsG,GAAG,iCAAiC,EAAE,IAAI7B,GAAG8B,GAAGC,GAAG,GAAGC,GAAG,SAASC,GAAGvB,EAAEC,EAAE,CAACD,GAAGmB,GAAGlB,CAAC,CAAC,CAAC,IAAIuB,GAAG,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAASC,GAAGzB,EAAEC,EAAEK,GAAG,CAAC,QAAQE,GAAGP,EAAEK,GAAGG,GAAGR,EAAED,EAAES,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGR,EAAE,IAAID,EAAE,QAAQwB,GAAG,OAAOA,GAAG,OAAOxB,EAAE,kBAAkB,kBAAkBA,EAAE,MAAMC,EAAEQ,EAAE,EAAET,EAAE,SAASC,EAAEQ,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGT,EAAEQ,IAAI,CAAC,IAAIiB,GAAG1B,EAAEC,KAAK,GAAG,EAAEyB,GAAG,KAAK,CAAChB,IAAI,OAAO,aAAagB,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG3B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAI,CAAChB,IAAI,OAAO,cAAcgB,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG5B,EAAEC,KAAK,GAAG,IAAIyB,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAE5B,EAAEC,KAAK,GAAGyB,GAAG,MAAMhB,IAAI,OAAO,aAAagB,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMhB,IAAI,OAAO,aAAa,MAAMmB,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOnB,EAAE,CAAC,SAASoB,GAAG9B,EAAEC,EAAE,CAAC,OAAOD,EAAEyB,GAAGzI,EAAE,EAAEgH,EAAEC,CAAC,EAAE,EAAE,CAAC,SAAS8B,GAAG/B,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGH,GAAGI,GAAGJ,GAAGE,GAAG,EAAEkB,GAAG,EAAEA,GAAG1B,EAAE,OAAO,EAAE0B,GAAG,CAAC,IAAIC,GAAG3B,EAAE,WAAW0B,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAG5B,EAAE,WAAW,EAAE0B,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGrB,IAAII,GAAG,MAAMT,EAAEK,MAAMqB,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,MAAM,IAAIqB,IAAI,EAAE1B,EAAEK,MAAM,IAAIqB,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,MAAM,IAAIqB,IAAI,GAAG1B,EAAEK,MAAM,IAAIqB,IAAI,EAAE,GAAG1B,EAAEK,MAAM,IAAIqB,GAAG,EAAE,KAAK,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,MAAM,IAAIqB,IAAI,GAAG1B,EAAEK,MAAM,IAAIqB,IAAI,GAAG,GAAG1B,EAAEK,MAAM,IAAIqB,IAAI,EAAE,GAAG1B,EAAEK,MAAM,IAAIqB,GAAG,EAAE,CAAC,CAAC,OAAO1B,EAAEK,IAAI,EAAEA,GAAGG,EAAE,CAAC,SAASuB,GAAGhC,EAAEC,EAAEK,GAAG,CAAC,OAAOyB,GAAG/B,EAAEhH,EAAE,EAAEiH,EAAEK,EAAE,CAAC,CAAC,IAAIf,GAAGE,GAAGC,GAAGC,GAAGsC,GAAGrC,GAAGC,GAAGC,GAAGC,GAAG,IAAIR,GAAG1E,EAAE,QAAQ,SAAS2E,GAAGQ,EAAE,CAACT,GAAGS,EAAEnF,EAAE,MAAM4E,GAAG,IAAI,UAAUO,CAAC,EAAEnF,EAAE,OAAO8E,GAAG,IAAI,WAAWK,CAAC,EAAEnF,EAAE,OAAO+E,GAAG,IAAI,WAAWI,CAAC,EAAEnF,EAAE,OAAO6E,GAAG,IAAI,WAAWM,CAAC,EAAEnF,EAAE,QAAQoH,GAAG,IAAI,YAAYjC,CAAC,EAAEnF,EAAE,QAAQgF,GAAG,IAAI,YAAYG,CAAC,EAAEnF,EAAE,QAAQiF,GAAG,IAAI,aAAaE,CAAC,EAAEnF,EAAE,QAAQkF,GAAG,IAAI,aAAaC,CAAC,CAAC,CAAC,IAAIkC,GAAGrH,EAAE,gBAAgB,SAAS,GAAG,EAAEyE,GAAGzE,EAAE,WAAW0E,GAAG1E,EAAE,eAAeA,EAAE,WAAWyE,GAAGzE,EAAE,mBAAmByE,GAAG,IAAI,YAAY,OAAO,CAAC,QAAQ4C,GAAG,MAAM,QAAQ,MAAM,OAAO,EAAE,CAAC,EAAE,EAAE5C,GAAG,kBAAkB,mBAAmB,MAAMe,EAAE,6NAA6N,EAAEhD,GAAGgD,EAAE,2GAA2G,EAAE,MAAM,YAAY,EAAEf,KAAKC,GAAGD,GAAG,QAAQ4C,GAAG3C,GAAG,WAAWC,GAAGD,EAAE,EAAE,IAAI4C,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,GAAG,SAAS5B,IAAI,CAAC,OAAOO,EAAE,CAAC,SAASsB,IAAI,CAAC,GAAG3H,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ4H,GAAG5H,EAAE,OAAO,MAAM,CAAC,EAAE6H,GAAGN,EAAE,CAAC,CAAC,SAASO,IAAI,CAACJ,GAAG,GAAG,CAAC,GAAGG,GAAGL,EAAE,CAAC,CAAC,SAASO,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG/H,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQgI,GAAGhI,EAAE,QAAQ,MAAM,CAAC,EAAE6H,GAAGJ,EAAE,CAAC,CAAC,CAAC,SAASG,GAAGzC,EAAE,CAACoC,GAAG,QAAQpC,CAAC,CAAC,CAAC,SAAS8C,GAAG9C,EAAE,CAACqC,GAAG,QAAQrC,CAAC,CAAC,CAAC,SAAS6C,GAAG7C,EAAE,CAACsC,GAAG,QAAQtC,CAAC,CAAC,CAAC,IAAI+C,GAAG,EAAEC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAGlD,EAAE,CAAC+C,KAAKlI,EAAE,wBAAwBA,EAAE,uBAAuBkI,EAAE,CAAC,CAAC,SAASI,GAAGnD,EAAE,CAAC,GAAG+C,KAAKlI,EAAE,wBAAwBA,EAAE,uBAAuBkI,EAAE,EAAEA,IAAI,IAAIC,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIhD,EAAEgD,GAAGA,GAAG,KAAKhD,EAAE,CAAC,CAAC,CAAC,SAASkB,GAAGnB,EAAE,CAACnF,EAAE,SAASA,EAAE,QAAQmF,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIK,EAAEL,CAAC,EAAEqB,GAAG,GAAGC,GAAG,EAAEtB,GAAG,2CAA2C,IAAIC,EAAE,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAMzE,EAAE0E,CAAC,EAAEA,CAAC,CAAC,IAAImD,GAAG,wCAAwC,SAASC,GAAGrD,EAAE,CAAC,OAAOA,EAAE,WAAWoD,EAAE,CAAC,CAAC,SAAS7C,GAAGP,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIsD,GAAGA,GAAG,uCAAuCD,GAAGC,EAAE,IAAIA,GAAG9F,EAAE8F,EAAE,GAAG,SAASC,GAAGvD,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGsD,IAAIrC,GAAG,OAAO,IAAI,WAAWA,EAAE,EAAE,GAAGd,EAAE,OAAOA,EAAEH,CAAC,EAAE,KAAK,iDAAiD,OAAOC,EAAN,CAASkB,GAAGlB,CAAC,CAAC,CAAC,CAAC,SAASuD,IAAI,CAAC,GAAG,CAACvC,KAAKf,GAAGxC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAAC6C,GAAG+C,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAStD,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCsD,GAAG,IAAI,OAAOtD,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOuD,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG3F,EAAE,OAAO,IAAI,QAAQ,SAASqC,EAAEC,EAAE,CAACtC,EAAE2F,GAAG,SAAShD,GAAG,CAACN,EAAE,IAAI,WAAWM,EAAE,CAAC,CAAC,EAAEL,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOsD,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIzD,EAAE,CAAC,IAAI0D,GAAG,uBAAuBA,EAAE,EAAE,SAASzD,EAAEyB,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ,GAAG7G,EAAE,IAAI+G,GAAG+B,GAAG9I,EAAE,IAAI,oBAAoB,EAAEsH,GAAGtH,EAAE,IAAI,0BAA0BiI,GAAGjI,EAAE,IAAI,iBAAiB,EAAEuG,GAAGO,GAAG,CAAC,EAAE,CAAC,IAAIE,GAAG+B,GAAG,cAAc,OAAOA,GAAG,cAAc,QAAQ,SAASC,GAAG,CAACD,GAAG,uBAAuBC,GAAG,UAAU,CAAC,EAAEhC,IAAIsB,GAAG,kBAAkB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAGD,GAAG,kBAAkB,EAAE,SAAS5C,GAAGoB,GAAG,CAACzB,EAAEyB,GAAG,SAASA,GAAG,MAAM,CAAC,CAAC,SAASlB,GAAGkB,GAAG,CAAC,OAAO8B,GAAG,EAAE,KAAK,SAAS7B,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAG3B,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS2B,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACtB,EAAE,0CAA0CsB,EAAE,EAAER,GAAGQ,EAAE,CAAC,CAAC,CAAC,CAAC,SAASlB,IAAI,CAAC,MAAM,CAACQ,IAAI,OAAO,YAAY,sBAAsB,YAAY,CAACoC,GAAGC,EAAE,GAAG,CAAC/C,GAAG+C,EAAE,GAAG,CAACjG,GAAG,OAAO,OAAO,WAAW,MAAMiG,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS5B,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAG1B,CAAC,EAAE,OAAO2B,GAAG,KAAKrB,GAAG,SAASsB,GAAG,CAAC,OAAOvB,EAAE,kCAAkCuB,EAAE,EAAEvB,EAAE,2CAA2C,EAAEG,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEE,GAAGF,EAAE,CAAC,CAAC,GAAGzF,EAAE,gBAAgB,GAAG,CAAC,IAAI6F,GAAG7F,EAAE,gBAAgBmF,EAAEC,CAAC,EAAE,OAAOS,EAAE,OAAOgB,GAAN,CAAUrB,EAAE,sDAAsDqB,EAAE,EAAEnG,EAAEmG,EAAE,CAAC,CAAC,OAAOjB,GAAG,EAAE,MAAMlF,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIuI,GAAGC,GAAGC,GAAG,CAAC,EAAE,SAAS5D,GAAGJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASiE,GAAGjE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,GAAG,OAAO4D,GAAG,SAAS5D,GAAGC,EAAE,UAAU,EAAEiE,GAAGlE,CAAC,EAAE4D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ3D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASkE,GAAGnE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,GAAGC,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,SAASmE,GAAGpE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,GAAGuB,GAAGtB,CAAC,EAAE2D,GAAG,mBAAmB3D,CAAC,CAAC,CAAC,SAASoE,GAAGrE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,aAAa,EAAE,GAAG,CAAC3D,EAAE,MAAO,GAAE2D,GAAG,eAAe,KAAK3D,CAAC,EAAE2D,GAAG,SAAS5D,EAAE,aAAaC,EAAEA,EAAE,YAAYD,EAAE,YAAY,IAAIM,GAAG,CAAC,IAAI,MAAM,cAAcN,EAAE,aAAa,IAAIA,EAAE,IAAI,YAAYA,EAAE,WAAW,EAAE,OAAOC,EAAE,WAAW,IAAI,CAAC5C,GAAG4C,EAAE,IAAI,EAAEA,EAAE,YAAYK,GAAGN,EAAE,YAAY,EAAE,OAAOC,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,IAAIqE,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAItE,EAAEvF,EAAE,EAAE6J,GAAG,QAAQ,GAAG,GAAG,OAAOtE,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,EAAE6B,GAAG9B,CAAC,EAAE,OAAOC,CAAC,CAAC,EAAE,SAASsE,GAAGvE,EAAE,CAAC,GAAG,EAAE,OAAOwE,GAAG,EAAE,EAAExE,CAAC,EAAEsB,GAAGtB,EAAEW,GAAG,IAAIiD,GAAG,oBAAoB,EAAE/I,EAAE,QAAQA,EAAE,OAAOmF,CAAC,EAAEqB,GAAG,IAAIxE,EAAEmD,EAAE,IAAII,GAAGJ,CAAC,CAAC,CAAC,CAAC,SAASyE,GAAGzE,EAAEC,EAAE,CAAC,GAAGqB,GAAGtB,EAAE,CAACC,GAAG,EAAE,MAAMyE,GAAG1E,CAAC,EAAE,SAASuE,GAAGvE,CAAC,CAAC,CAAC,IAAI2E,GAAGF,GAAG,SAASG,GAAG5E,EAAE,CAAC,GAAGA,aAAaI,IAAIJ,GAAG,SAAS,OAAOsB,GAAGzE,EAAE,EAAEmD,CAAC,CAAC,CAAC,IAAI4D,GAAG,CAAC,cAAc,CAAC,EAAE,eAAe,CAAC,EAAE,iBAAiB,CAAC,EAAE,SAAS,CAAC,EAAE,KAAK,UAAU,CAAC,EAAEA,GAAG,WAAW,EAAEA,GAAG,eAAe,CAAC,EAAE,eAAe,UAAU,CAAC,QAAQ5D,EAAE,EAAEA,KAAK4D,GAAG,qBAAqB,CAAC,EAAE,WAAW,UAAU,CAAC1C,GAAG,EAAE,EAAE,cAAc,SAASlB,EAAE,CAACsB,GAAGtB,CAAC,EAAE,oBAAoB,UAAU,CAAC,QAAQA,KAAK,OAAO,OAAO4D,GAAG,QAAQ,EAAEA,GAAG,mBAAmB5D,CAAC,EAAE,QAAQA,KAAK4D,GAAG,cAAc5D,EAAE,UAAU,EAAE4D,GAAG,cAAc,CAAC,CAAC,EAAE,mBAAmB,SAAS5D,EAAE,CAAC,IAAIC,EAAED,EAAE,YAAY,OAAO4D,GAAG,SAAS3D,GAAG2D,GAAG,cAAc,KAAK5D,CAAC,EAAE4D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ5D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,EAAE3C,GAAG2C,EAAE,MAAM,EAAEkE,GAAGjE,CAAC,CAAC,EAAE,sBAAsB,SAASD,EAAE,CAAC,EAAE,cAAc,UAAU,CAAC4D,GAAG,iBAAiB,QAAQ5D,GAAGA,EAAE,CAAC,CAAC,EAAE,uBAAuB,SAASA,EAAEC,EAAE,CAACD,EAAE,UAAUU,IAAI,CAAC,IAAIgB,GAAGhB,GAAG,KAAKiB,GAAGD,GAAG,IAAI,GAAG1B,EAAE,cAAc4D,GAAG,oCAAoC5D,EAAE,aAAa0B,GAAG,cAAcA,GAAG,cAAcmD,GAAG,EAAE,CAAC,IAAIjD,GAAGgC,GAAG,SAASlC,GAAG,cAAcE,GAAGA,GAAG,YAAYF,GAAGA,GAAG,YAAY,EAAErB,EAAE,0CAA0CsB,GAAG,uBAAuBD,GAAG,aAAa,qCAAqC,EAAEkC,GAAG,oCAAoC,OAAO,MAAM,CAACjC,KAAK,uBAAuBmD,GAAGpD,GAAG,KAAK,EAAEC,KAAK,cAAc0C,GAAG3C,EAAE,EAAEC,KAAK,gBAAgByC,GAAG1C,GAAG,MAAM,EAAEC,KAAK,aAAasC,GAAGvC,GAAG,MAAM,EAAEC,KAAK,eAAewC,GAAGzC,GAAG,MAAM,EAAEC,KAAK,UAAU3B,EAAE,OAAO,GAAG3C,GAAG2C,EAAE,MAAM,EAAEC,GAAGA,EAAED,CAAC,EAAEA,EAAE,YAAYA,EAAE,WAAW,GAAG2B,KAAK,QAAQf,EAAE,UAAUc,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,WAAWtB,EAAE,UAAUqB,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,QAAQ,MAAM,UAAUD,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEA,GAAG,SAAS,eAAe1B,EAAE,YAAY0B,EAAE,EAAEC,KAAK,cAAc9G,EAAE6G,GAAG,SAAS,GAAGA,GAAG,IAAI,EAAEC,IAAItB,EAAE,kCAAkCsB,EAAE,EAAEiC,GAAG,oCAAoC,MAAM,EAAE5D,EAAE,QAAQU,IAAI,CAAC,IAAIgB,GAAG,wBAAwB,MAAMrB,EAAEqB,GAAG,IAAIhB,GAAG,SAAS,IAAIA,GAAG,OAAO,KAAKA,GAAG,OAAO,EAAEA,EAAE,EAAErD,IAAI2C,EAAE,GAAG,UAAU,SAASU,GAAG,CAACV,EAAE,UAAU,CAAC,KAAKU,EAAE,CAAC,CAAC,CAAC,EAAEV,EAAE,GAAG,QAAQ,SAASU,GAAG,CAACV,EAAE,QAAQU,EAAE,CAAC,CAAC,EAAEV,EAAE,GAAG,eAAe,UAAU,CAAC,CAAC,GAAG,IAAIM,GAAG,CAAC,EAAEE,GAAG,CAAC,SAAS,UAAU,QAAQ,UAAU,EAAE,QAAQC,MAAMD,GAAG3F,EAAE,eAAe4F,EAAE,GAAGH,GAAG,KAAKG,EAAE,EAAET,EAAE,YAAY,CAAC,IAAI,OAAO,SAASM,GAAG,UAAUzF,EAAE,qBAAqBjC,EAAE,WAAW0G,GAAG,WAAW8B,EAAE,CAAC,CAAC,EAAE,qBAAqB,UAAU,CAAC,IAAIpB,EAAEC,EAAEzC,EAAE,2CAA2C,EAAEwC,EAAE,IAAI,OAAOC,CAAC,EAAE2D,GAAG,cAAc,KAAK5D,CAAC,CAAC,EAAE,aAAa,UAAU,CAAC,OAAO4D,GAAG,cAAc,QAAQ,IAAIA,GAAG,qBAAqB,EAAEA,GAAG,uBAAuBA,GAAG,cAAc,EAAE,GAAGA,GAAG,cAAc,IAAI,CAAC,CAAC,EAAE/I,EAAE,QAAQ+I,GAAG,SAASlB,GAAG1C,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAEnF,CAAC,CAAC,CAAC,SAASkK,IAAI,CAAC,IAAI/E,EAAE6E,GAAG,EAAE5E,EAAExF,EAAE,EAAEuF,EAAE,IAAI,GAAGM,GAAG7F,EAAE,EAAEuF,EAAE,IAAI,GAAGQ,GAAGP,EAAEK,GAAG0E,GAAG/E,EAAEO,EAAE,EAAEyE,GAAGhF,CAAC,CAAC,CAACpF,EAAE,oBAAoBkK,GAAG,SAASL,GAAG1E,EAAE,CAAC,GAAG,EAAE,OAAOwE,GAAG,EAAE,EAAExE,CAAC,EAAE,GAAG,CAAC2E,GAAG3E,CAAC,CAAC,OAAOC,EAAN,CAAS2E,GAAG3E,CAAC,CAAC,CAAC,CAAC,IAAIiF,GAAG,CAAC,EAAE,SAASC,GAAGnF,EAAE,CAAC,IAAIC,EAAEiF,GAAGlF,GAAG,OAAOC,IAAID,GAAGkF,GAAG,SAASA,GAAG,OAAOlF,EAAE,GAAGkF,GAAGlF,GAAGC,EAAEkC,GAAG,IAAInC,CAAC,GAAGC,CAAC,CAAC,SAASmF,GAAGpF,EAAEC,EAAE,CAAC,IAAIK,GAAG6E,GAAGnF,CAAC,EAAEC,CAAC,EAAEU,GAAG,EAAEiD,GAAG,cAActD,EAAE,EAAE+E,GAAG/E,EAAE,CAAC,CAACzF,EAAE,iBAAiBuK,GAAG,SAASzB,GAAG3D,EAAE,CAAC4D,GAAG,iBAAiB,KAAK5D,CAAC,CAAC,CAAC,SAASsF,GAAGtF,EAAE,CAACuF,GAAGvF,EAAE,CAACtC,EAAE,EAAE,CAACwC,CAAC,EAAE0D,GAAG,cAAc,CAAC,CAAC,SAAS4B,GAAGxF,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,gBAAgB,OAAOA,CAAC,CAAC,EAAEoE,GAAGpE,CAAC,CAAC,CAAC,SAASyF,GAAGzF,EAAEC,EAAEK,GAAGE,GAAG,CAAC,OAAO,EAAEgE,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,EAAE,EAAEkF,GAAG1F,EAAEC,EAAEK,GAAGE,EAAE,CAAC,CAAC,SAASkF,GAAG1F,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,OAAO,mBAAmB,YAAY,OAAOH,EAAE,qFAAqF,EAAE,EAAE,IAAII,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAG,IAAID,GAAG,SAAS,GAAGC,IAAI,OAAO+E,GAAGzF,EAAEC,EAAEK,GAAGE,EAAE,EAAE,GAAGE,GAAG,OAAOA,GAAG,IAAIgB,GAAG,CAAC,aAAapB,GAAG,YAAYN,EAAE,IAAIQ,GAAG,aAAaC,EAAE,EAAE,OAAO,GAAGiB,GAAG,IAAI,cAAc,YAAYA,GAAGjB,EAAE,EAAE,GAAG4D,GAAG3C,EAAE,CAAC,CAAC,SAASiE,IAAI,CAAC,MAAO,MAAK,CAAC,IAAIC,GAAG,GAAG,SAASC,IAAI,CAAC,OAAOD,EAAE,CAAC,SAASd,GAAG9E,EAAE,CAAC,QAAQ,MAAMvF,EAAE,EAAEuF,GAAG,EAAE,CAAC,EAAE6E,GAAG,GAAGiB,GAAG9F,CAAC,EAAE,QAAQ,gBAAgBvF,EAAE,EAAEuF,GAAG,EAAE,EAAE,CAAC,CAAC,CAACnF,EAAE,6BAA6BiK,GAAG,SAASiB,GAAG/F,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAGR,GAAGC,EAAE,WAAW,IAAI6E,GAAGtE,EAAE,CAAC,UAAU,EAAE,YAAY,CAAC,aAAaR,EAAE,IAAI,uBAAuB,MAAMQ,EAAE,CAAC,MAAM,CAAC,IAAIC,GAAGmD,GAAG,SAAS5D,GAAG,GAAG,CAACS,GAAG,OAAOA,GAAG,YAAY,CAAC,IAAI,uBAAuB,MAAMD,EAAE,CAAC,CAAC,CAAC,MAAO,EAAC,CAAC,SAASwF,GAAGhG,EAAEC,EAAEK,GAAG,CAAC,MAAM,EAAE,CAAC,SAAS2F,IAAI,CAAC9E,GAAG,EAAE,CAAC,CAAC,SAAS+E,GAAGlG,EAAE,CAACkG,GAAG,QAAQA,GAAG,MAAM,CAAC,GAAGA,GAAG,MAAMlG,KAAKkG,GAAG,MAAMlG,GAAG,EAAE3C,IAAI2C,EAAE,YAAYA,GAAGK,EAAEL,CAAC,EAAE,CAAC,SAASmG,IAAI,CAAC9I,GAAGK,GAAGwI,GAAG,0IAA0I,CAAC,CAAC,SAASE,IAAI,CAAC,OAAO,KAAK,IAAI,CAAC,CAAC,SAASC,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,IAAIE,GAAGlJ,EAAEkJ,GAAG,IAAI,CAAC,IAAIvG,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,EAAEuG,GAAG,IAAI,YAAY,WAAW,YAAY,IAAI,EAAE,SAASC,GAAGxG,EAAEC,EAAEK,GAAG,CAACtH,EAAE,EAAE,WAAWgH,EAAEC,EAAEA,EAAEK,EAAE,CAAC,CAAC,SAASmG,IAAI,CAAC,OAAOpJ,EAAE4B,GAAG,EAAE,KAAK,EAAE,OAAO,UAAU,mBAAmB,CAAC,SAASyH,GAAG1G,EAAE,CAAC,IAAIC,EAAE0G,GAAG,EAAErG,GAAGN,EAAE,EAAE,OAAOiF,GAAGhF,CAAC,EAAEK,EAAE,CAAC,SAASkE,GAAGxE,EAAEC,EAAE,CAAC,IAAIK,GAAG,UAAU,OAAO,EAAEE,GAAG,UAAU,OAAOkG,GAAG,IAAI,CAAC,QAAQjG,GAAGH,GAAGI,GAAGkG,GAAGnG,GAAG,CAAC,EAAEiB,GAAGhB,IAAI,EAAEiB,GAAG,EAAEA,GAAGrB,GAAGqB,KAAK,CAAC,IAAIC,GAAGpB,GAAG,EAAEmB,IAAI/G,EAAE,EAAE8G,GAAGC,IAAIC,EAAE,CAAC,OAAOiF,GAAG7G,EAAES,GAAGC,GAAGT,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI6G,GAAG,CAAC,EAAE,SAASC,GAAG/G,EAAEC,EAAEK,GAAG,CAACwG,GAAG,OAAO7G,EAAE,QAAQO,GAAGF,IAAI,EAAEG,GAAG,EAAEA,GAAGR,EAAEQ,KAAKqG,GAAGrG,IAAI7F,EAAE,EAAE4F,GAAGC,IAAI,IAAIC,GAAGV,EAAE,EAAE0B,GAAGhB,GAAGsD,GAAG,CAAChE,EAAE,GAAGgH,GAAGhH,GAAG,OAAO0B,GAAG,MAAM,KAAKoF,EAAE,CAAC,CAAC,SAASG,GAAGjH,EAAE,CAAC,GAAG,CAAC,OAAOV,GAAG,KAAKU,EAAET,GAAG,WAAW,QAAQ,EAAE,EAAEC,GAAGF,GAAG,MAAM,EAAE,CAAC,OAAOW,EAAN,CAAS,CAAC,CAAC,SAASiH,GAAGlH,EAAE,CAAC,IAAIC,EAAEjH,EAAE,EAAE,OAAO,GAAGgH,EAAEA,IAAI,EAAEA,GAAGC,EAAE,MAAM,GAAG,IAAIK,GAAG+F,GAAG,EAAE,GAAGrG,EAAEM,GAAG,MAAM,GAAG,IAAIE,GAAG,CAACoB,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQpB,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGT,GAAG,EAAE,GAAGQ,IAAIC,GAAG,KAAK,IAAIA,GAAGV,EAAE,SAAS,EAAE,IAAI0B,GAAG,KAAK,IAAIpB,GAAGE,GAAG,KAAK,IAAIR,EAAEU,EAAE,EAAE,KAAK,CAAC,EAAEiB,GAAGsF,GAAGvF,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,SAASwF,IAAI,CAAC,KAAK,QAAQ,CAAC,SAASC,GAAGpH,EAAE,CAAC,OAAO,EAAEwE,GAAG,EAAE,EAAExE,CAAC,EAAE,EAAE,CAAC,SAASqH,GAAGrH,EAAEC,EAAEK,GAAGE,GAAGC,GAAG,CAAC,OAAO,EAAE+D,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,GAAGC,EAAE,EAAE,EAAE,CAAC,IAAI6G,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASC,GAAGvH,EAAEC,EAAE,CAAC,IAAIK,GAAGgH,GAAGtH,GAAGC,IAAI,GAAGA,IAAI,KAAKD,IAAI,EAAEY,EAAEP,GAAGoB,GAAGnB,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKL,CAAC,CAAC,CAAC,SAASuH,GAAGxH,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,EAAE,OAAOgE,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,EAAE,EAAE,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGJ,GAAGI,KAAK,CAAC,IAAIgB,GAAGhH,EAAE,EAAEuF,GAAG,GAAG0B,GAAGjH,EAAE,EAAEuF,EAAE,GAAG,GAAGA,GAAG,EAAE,QAAQ2B,GAAG,EAAEA,GAAGD,GAAGC,KAAK2F,GAAGvH,EAAEhH,EAAE,EAAE0I,GAAGE,GAAG,EAAEnB,IAAIkB,EAAE,CAAC,OAAOjH,EAAE,EAAE8F,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASgH,GAAGzH,EAAE,CAAC,IAAIC,EAAEpF,EAAE,IAAImF,GAAG,OAAOC,CAAC,CAAC,SAASyH,GAAG1H,EAAEC,EAAE,CAACnH,EAAE,EAAE,IAAIkH,EAAEC,CAAC,CAAC,CAAC,SAAS0H,GAAG3H,EAAEC,EAAEK,GAAGE,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOkH,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGjB,GAAGkB,EAAE,EAAE9F,GAAG4F,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGjB,GAAGgB,GAAG,MAAM,EAAE,OAAOF,GAAGE,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAASnG,GAAGkG,GAAG,CAAC,OAAO3H,IAAI,SAAS6B,GAAG8F,EAAE,EAAE3H,IAAI,UAAU,QAAQ2H,EAAE,EAAEA,EAAE,CAAC,IAAIjG,GAAG8F,GAAGzH,CAAC,EAAE4B,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGrB,GAAG,QAAQqD,GAAG,EAAEA,GAAGrD,GAAG,OAAOqD,KAAK,CAAC,IAAIkE,GAAGrH,GAAGJ,GAAGuD,KAAKkE,IAAIlG,KAAK,IAAIA,GAAG8E,GAAG,GAAG/E,GAAGiC,IAAIkE,GAAGvH,GAAGqD,GAAG,GAAGjC,GAAGiC,IAAIrD,GAAGqD,GAAG,CAAC,IAAImE,GAAGrG,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASqG,GAAGL,GAAG,CAAC,OAAO/F,KAAK,GAAGoD,GAAGpD,EAAE,EAAEH,GAAGkG,EAAE,CAAC,CAAC,OAAOI,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASE,GAAGlI,EAAEC,EAAEK,GAAGE,GAAG,CAACF,GAAGA,IAAI,CAAC,EAAE,IAAIG,GAAGH,GAAG,MAAMoB,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAEhB,GAAGT,IAAI,SAAS,OAAOS,IAAID,IAAI,CAACD,GAAGiH,GAAGzH,CAAC,EAAE,UAAU,CAAC,OAAO2H,GAAG3H,EAAEC,EAAEK,GAAG,UAAUE,EAAE,CAAC,CAAC,CAACoD,GAAG,KAAK,EAAE,IAAIoD,GAAG,CAAC,KAAKzC,GAAGG,GAAGe,GAAG2B,GAAGC,GAAGG,EAAE,EAAE9D,GAAG,CAAC,iCAAiC4B,GAAG,4BAA4BE,GAAG,oBAAoBE,GAAG,uCAAuCC,GAAG,iCAAiCE,GAAG,8BAA8BE,GAAG,qCAAqCC,GAAG,MAAMC,GAAG,kCAAkCE,GAAG,oBAAoBC,GAAG,wBAAwBE,GAAG,mBAAmBC,GAAG,sBAAsBC,GAAG,6BAA6BC,GAAG,qCAAqCM,GAAG,uBAAuBG,GAAG,mCAAmCC,GAAG,KAAKxC,GAAG,SAASyC,GAAG,QAAQC,GAAG,SAASG,GAAG,OAAOlI,IAAIzE,EAAE,UAAU,EAAEsN,GAAG1E,GAAG,EAAE2E,GAAGvN,EAAE,mBAAmB,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEwN,GAAGxN,EAAE,MAAM,UAAU,CAAC,OAAOwN,GAAGxN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,yBAAyB,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,mBAAmB,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,iBAAiB,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,cAAc,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,SAAS,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,KAAK,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,KAAK,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,MAAM,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,KAAK,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,QAAQ,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,SAAS,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,aAAa,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,MAAM,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,aAAa,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,QAAQ,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,qBAAqB,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,KAAK,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,MAAM,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,eAAe,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,SAAS,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,QAAQ,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,cAAc,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,uBAAuB,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,KAAK,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,OAAO,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmP,GAAGnP,EAAE,KAAK,UAAU,CAAC,OAAOmP,GAAGnP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,eAAe,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,OAAO,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,UAAU,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,gBAAgB,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,aAAa,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,sBAAsB,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,QAAQ,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,UAAU,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,SAAS,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,cAAc,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,OAAO,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,WAAW,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,MAAM,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,WAAW,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,KAAK,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,YAAY,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,YAAY,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,WAAW,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,KAAK,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,SAAS,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,SAAS,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,MAAM,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,KAAK,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,SAAS,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,WAAW,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,UAAU,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,KAAK,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,qBAAqB,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,qBAAqB,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,qBAAqB,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmR,EAAEnR,EAAE,UAAU,UAAU,CAAC,OAAOmR,EAAEnR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,QAAQ,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,OAAO,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,KAAK,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,OAAO,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,MAAM,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,SAAS,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,YAAY,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,MAAM,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,OAAO,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,gBAAgB,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,uBAAuB,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,SAAS,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,kBAAkB,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,OAAO,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,OAAO,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,WAAW,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,UAAU,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,SAAS,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,KAAK,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,SAAS,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,qBAAqB,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,eAAe,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,wBAAwB,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,MAAM,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,QAAQ,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,mBAAmB,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,MAAM,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,cAAc,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgT,GAAGhT,EAAE,KAAK,UAAU,CAAC,OAAOgT,GAAGhT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEiT,GAAGjT,EAAE,KAAK,UAAU,CAAC,OAAOiT,GAAGjT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkT,GAAGlT,EAAE,KAAK,UAAU,CAAC,OAAOkT,GAAGlT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmT,GAAGnT,EAAE,MAAM,UAAU,CAAC,OAAOmT,GAAGnT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoT,GAAGpT,EAAE,MAAM,UAAU,CAAC,OAAOoT,GAAGpT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqT,GAAGrT,EAAE,MAAM,UAAU,CAAC,OAAOqT,GAAGrT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEsT,GAAGtT,EAAE,WAAW,UAAU,CAAC,OAAOsT,GAAGtT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEuT,GAAGvT,EAAE,WAAW,UAAU,CAAC,OAAOuT,GAAGvT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwT,GAAGxT,EAAE,cAAc,UAAU,CAAC,OAAOwT,GAAGxT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEyT,GAAGzT,EAAE,QAAQ,UAAU,CAAC,OAAOyT,GAAGzT,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE0T,GAAG1T,EAAE,MAAM,UAAU,CAAC,OAAO0T,GAAG1T,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2T,GAAG3T,EAAE,sBAAsB,UAAU,CAAC,OAAO2T,GAAG3T,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEgK,GAAGhK,EAAE,cAAc,UAAU,CAAC,OAAOgK,GAAGhK,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4T,GAAG5T,EAAE,kBAAkB,UAAU,CAAC,OAAO4T,GAAG5T,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE0K,GAAG1K,EAAE,yBAAyB,UAAU,CAAC,OAAO0K,GAAG1K,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6T,GAAG7T,EAAE,4BAA4B,UAAU,CAAC,OAAO6T,GAAG7T,EAAE,4BAA4BA,EAAE,IAAI,4BAA4B,MAAM,KAAK,SAAS,CAAC,EAAE8T,GAAG9T,EAAE,6CAA6C,UAAU,CAAC,OAAO8T,GAAG9T,EAAE,6CAA6CA,EAAE,IAAI,6CAA6C,MAAM,KAAK,SAAS,CAAC,EAAE+T,GAAG/T,EAAE,mCAAmC,UAAU,CAAC,OAAO+T,GAAG/T,EAAE,mCAAmCA,EAAE,IAAI,mCAAmC,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,0CAA0C,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,0CAA0CA,EAAE,IAAI,0CAA0C,MAAM,KAAK,SAAS,CAAC,EAAEgU,GAAGhU,EAAE,gCAAgC,UAAU,CAAC,OAAOgU,GAAGhU,EAAE,gCAAgCA,EAAE,IAAI,gCAAgC,MAAM,KAAK,SAAS,CAAC,EAAEiL,GAAGjL,EAAE,sCAAsC,UAAU,CAAC,OAAOiL,GAAGjL,EAAE,sCAAsCA,EAAE,IAAI,sCAAsC,MAAM,KAAK,SAAS,CAAC,EAAEqJ,GAAGrJ,EAAE,8BAA8B,UAAU,CAAC,OAAOqJ,GAAGrJ,EAAE,8BAA8BA,EAAE,IAAI,8BAA8B,MAAM,KAAK,SAAS,CAAC,EAAEwK,GAAGxK,EAAE,yBAAyB,UAAU,CAAC,OAAOwK,GAAGxK,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAEmK,GAAGnK,EAAE,6BAA6B,UAAU,CAAC,OAAOmK,GAAGnK,EAAE,6BAA6BA,EAAE,IAAI,6BAA6B,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,UAAU,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoK,GAAGpK,EAAE,aAAa,UAAU,CAAC,OAAOoK,GAAGpK,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE+L,GAAG/L,EAAE,WAAW,UAAU,CAAC,OAAO+L,GAAG/L,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEiU,GAAGjU,EAAE,iBAAiB,UAAU,CAAC,OAAOiU,GAAGjU,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEkU,GAAGlU,EAAE,aAAa,UAAU,CAAC,OAAOkU,GAAGlU,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,iBAAiB8F,GAAG9F,EAAE,WAAWyE,GAAGzE,EAAE,MAAMqN,GAAGrN,EAAE,WAAWuF,GAAGvF,EAAE,QAAQ+I,GAAG,IAAIoL,GAAG/L,GAAG,SAASjD,GAAG,CAACgP,IAAIC,GAAG,EAAED,KAAK/L,GAAGjD,EAAE,EAAE,SAASiP,GAAGjP,EAAE,CAAC,GAAGA,EAAEA,GAAGtE,EAAEqH,GAAG,EAAE,OAAO,GAAG,EAAE,CAACzH,EAAET,CAAC,EAAE8H,GAAG,EAAE,YAAY9H,CAAC,EAAE,MAAM,CAAC,GAAG2H,GAAG,EAAEO,GAAG,EAAE,OAAO,SAAS9C,GAAG,CAAC+O,KAAKA,GAAG,GAAGnU,EAAE,UAAU,GAAG,CAACwG,KAAKsB,GAAG,EAAErH,EAAET,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE+H,GAAG,GAAG,CAAC/H,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEoF,EAAE,CAAC,EAAE,CAAC,GAAGA,EAAE,CAAC,CAAC,GAAGpF,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEoU,GAAG,EAAE,IAAIC,GAAG1T,IAAI0T,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASlP,EAAE,CAAC,MAAM,CAACxE,EAAE,kBAAkB,QAAQwE,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACxE,EAAE,mBAAmB,QAAQwE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAImP,GAAG,GAAG,OAAO,mBAAmB,YAAYA,GAAG,0BAA0B,OAAO3V,GAAG,YAAY2V,GAAG3V,MAAO,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG0V,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASlP,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEkP,GAAG,mBAAmB,QAAQ,SAASlP,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOxG,EAAE,KAAK,CAAC,GAAG,EAAE,OAAO2F,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,8BAA8BE,EAAG,CAAC,EAAMgQ,GAAG1W,GAAG,CAAC2W,EAAIC,IAAK,CAACA,EAAG,QAAQ,mBAAmB;AAAA,sqEACn6uB,CAAC,EAAMC,GAAG7W,GAAG,CAAC8W,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAI/W,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASY,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIV,EAAE,OAAOU,GAAG,YAAYA,EAAE,CAAC,EAAER,EAAE,EAAEF,EAAE,MAAM,IAAI,QAAQ,SAASkT,EAAEC,GAAG,CAACjT,EAAEgT,EAAE,EAAEC,EAAE,CAAC,EAAE,IAAIxR,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAE5B,CAAC,EAAE6B,EAAE,CAAC,EAAEC,EAAE,iBAAiBC,EAAE,CAACmR,EAAEC,KAAK,CAAC,MAAMA,EAAE,EAAE3Q,EAAE,OAAO,QAAQ,SAASC,EAAE,OAAO,eAAe,WAAWC,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAASC,EAAE,GAAG,SAASC,EAAEsQ,EAAE,CAAC,OAAOlT,EAAE,WAAWA,EAAE,WAAWkT,EAAEvQ,CAAC,EAAEA,EAAEuQ,CAAC,CAAC,IAAIpP,EAAEC,EAAEqD,EAAExC,EAAE,SAASL,EAAE2O,EAAE,CAAIA,aAAahJ,IAAUvF,EAAE,6BAA6BuO,CAAC,CAAC,CAAC,GAAGxQ,EAAE,CAAC,IAAI,EAAEqD,GAAG,EAAEtB,EAAEuB,GAAG,EAAEvD,EAAEE,EAAE8B,EAAE,QAAQ9B,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAImB,EAAE,CAACoP,EAAEC,MAAMD,EAAExJ,GAAGwJ,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAEzO,EAAE,UAAUyO,CAAC,EAAE,EAAE,aAAaA,EAAEC,GAAG,OAAO,MAAM,GAAG/L,EAAE8L,GAAG,CAAC,IAAIC,GAAGrP,EAAEoP,EAAE,EAAE,EAAE,OAAOC,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAEpP,EAAE,CAACmP,EAAEC,GAAGC,KAAK,CAACF,EAAExJ,GAAGwJ,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAEzO,EAAE,UAAUyO,CAAC,EAAE,EAAE,SAASA,EAAE,SAASG,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAIxR,EAAE,QAAQ,KAAK,GAAG,QAAQ,MAAM,GAAG,GAAGD,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASqR,EAAE,CAAC,GAAG,EAAEA,aAAahJ,IAAI,MAAMgJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEnR,EAAE,CAACmR,EAAEC,KAAK,CAAC,GAAGvM,GAAG,EAAE,MAAM,QAAQ,SAASsM,EAAEC,GAAG5O,EAAE4O,EAAE,EAAE,QAAQ,KAAKD,CAAC,CAAC,EAAElT,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,CAAC,MAAMwC,GAAGC,KAAKA,EAAEE,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK7C,IAAI6C,EAAE7C,GAAG6C,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGmB,EAAEoP,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,KAAK,IAAI,EAAEA,GAAG,YAAY,EAAE1Q,IAAI2E,EAAE8L,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,aAAa,cAAcA,GAAG,KAAK,IAAI,EAAE,IAAI,WAAWA,GAAG,QAAQ,CAAC,GAAGpP,EAAE,CAACmP,EAAEC,GAAGC,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMH,EAAE,EAAE,EAAEG,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACF,GAAGE,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,EAAEzO,EAAEsO,GAAG,SAAS,MAAMA,GAAG,IAAIxO,EAAE1E,EAAE,OAAO,QAAQ,IAAI,KAAK,OAAO,EAAE2E,EAAE3E,EAAE,UAAU,QAAQ,KAAK,KAAK,OAAO,EAAE,OAAO,OAAOA,EAAE4B,CAAC,EAAEA,EAAE,KAAK5B,EAAE,YAAY6B,EAAE7B,EAAE,WAAWA,EAAE,cAAc8B,EAAE9B,EAAE,aAAaA,EAAE,OAAO+B,EAAE/B,EAAE,MAAM,IAAI6E,EAAE,EAAEwC,EAAErH,EAAE,aAAaqH,EAAErH,EAAE,YAAY,IAAI8E,EAAE9E,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUwJ,GAAG,iCAAiC,EAAE,IAAIzE,EAAEC,EAAE,GAAGC,EAAE,SAASC,EAAEgO,EAAEC,GAAG,CAACD,GAAG1J,GAAG2J,EAAE,CAAC,CAAC,IAAIhO,EAAE,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAAS2C,EAAEoL,EAAEC,GAAGC,GAAG,CAAC,QAAQC,GAAGF,GAAGC,GAAGE,GAAGH,GAAGD,EAAEI,KAAK,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGH,GAAG,IAAID,EAAE,QAAQ/N,EAAE,OAAOA,EAAE,OAAO+N,EAAE,SAASC,GAAGG,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGJ,GAAGG,IAAI,CAAC,IAAIE,GAAGN,EAAEC,MAAM,GAAG,EAAEK,GAAG,KAAK,CAACD,IAAI,OAAO,aAAaC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGP,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAI,CAACD,IAAI,OAAO,cAAcC,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGR,EAAEC,MAAM,GAAG,IAAIK,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAER,EAAEC,MAAM,GAAGK,GAAG,MAAMD,IAAI,OAAO,aAAaC,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMD,IAAI,OAAO,aAAa,MAAMI,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOJ,EAAE,CAAC,SAAShM,EAAE2L,EAAEC,GAAG,CAAC,OAAOD,EAAEpL,EAAEK,GAAG+K,EAAEC,EAAE,EAAE,EAAE,CAAC,SAASpL,GAAEmL,EAAEC,GAAGC,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEG,GAAG,EAAEA,GAAGN,EAAE,OAAO,EAAEM,GAAG,CAAC,IAAIC,GAAGP,EAAE,WAAWM,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAGR,EAAE,WAAW,EAAEM,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGL,IAAIG,GAAG,MAAMJ,GAAGC,MAAMK,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,EAAEN,GAAGC,MAAM,IAAIK,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,MAAM,IAAIK,IAAI,GAAGN,GAAGC,MAAM,IAAIK,IAAI,GAAG,GAAGN,GAAGC,MAAM,IAAIK,IAAI,EAAE,GAAGN,GAAGC,MAAM,IAAIK,GAAG,EAAE,CAAC,CAAC,OAAON,GAAGC,IAAI,EAAEA,GAAGE,EAAE,CAAC,SAAStL,GAAGkL,EAAEC,GAAGC,GAAG,CAAC,OAAOrL,GAAEmL,EAAE/K,GAAGgL,GAAGC,EAAE,CAAC,CAAC,IAAInL,GAAGC,GAAGC,GAAGC,GAAG5B,GAAG8B,GAAGC,GAAGC,GAAGC,GAAG,SAASC,GAAGwK,EAAE,CAACjL,GAAGiL,EAAElT,EAAE,MAAMkI,GAAG,IAAI,UAAUgL,CAAC,EAAElT,EAAE,OAAOoI,GAAG,IAAI,WAAW8K,CAAC,EAAElT,EAAE,OAAOsI,GAAG,IAAI,WAAW4K,CAAC,EAAElT,EAAE,OAAOmI,GAAG,IAAI,WAAW+K,CAAC,EAAElT,EAAE,QAAQwG,GAAG,IAAI,YAAY0M,CAAC,EAAElT,EAAE,QAAQuI,GAAG,IAAI,YAAY2K,CAAC,EAAElT,EAAE,QAAQwI,GAAG,IAAI,aAAa0K,CAAC,EAAElT,EAAE,QAAQyI,GAAG,IAAI,aAAayK,CAAC,CAAC,CAAC,IAAIvK,GAAG3I,EAAE,gBAAgB,SAASgJ,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEzC,GAAG,CAAC,EAAEE,GAAG,GAAG,SAASC,IAAI,CAAC,OAAO9B,CAAC,CAAC,SAAS+B,IAAI,CAAC,GAAG7G,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ+G,GAAG/G,EAAE,OAAO,MAAM,CAAC,EAAEmK,GAAGlB,EAAE,CAAC,CAAC,SAASE,IAAI,CAACxC,GAAG,GAAGwD,GAAGjB,EAAE,CAAC,CAAC,SAASpC,IAAI,CAAC,GAAG9G,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQiH,GAAGjH,EAAE,QAAQ,MAAM,CAAC,EAAEmK,GAAG1D,EAAE,CAAC,CAAC,SAASM,GAAGmM,EAAE,CAACjK,GAAG,QAAQiK,CAAC,CAAC,CAAC,SAASlM,GAAGkM,EAAE,CAAChK,GAAG,QAAQgK,CAAC,CAAC,CAAC,SAASjM,GAAGiM,EAAE,CAACzM,GAAG,QAAQyM,CAAC,CAAC,CAAC,IAAIxM,GAAG,EAAE0C,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG4J,EAAE,CAACxM,KAAK1G,EAAE,wBAAwBA,EAAE,uBAAuB0G,EAAE,CAAC,CAAC,SAAS6C,GAAG2J,EAAE,CAAC,GAAGxM,KAAK1G,EAAE,wBAAwBA,EAAE,uBAAuB0G,EAAE,EAAEA,IAAI,IAAI0C,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAI8J,GAAG9J,GAAGA,GAAG,KAAK8J,GAAG,CAAC,CAAC,CAAC,SAAS3J,GAAG0J,EAAE,CAAClT,EAAE,SAASA,EAAE,QAAQkT,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIvO,EAAEuO,CAAC,EAAElO,EAAE,GAAGC,EAAE,EAAEiO,GAAG,2CAA2C,IAAIC,GAAG,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAM,EAAEC,EAAE,EAAEA,EAAE,CAAC,IAAI1J,GAAG,wCAAwC,SAAS5B,GAAGqL,EAAE,CAAC,OAAOA,EAAE,WAAWzJ,EAAE,CAAC,CAAC,SAASC,GAAGwJ,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIrJ,GAAGA,GAAG,yBAAyBhC,GAAGgC,EAAE,IAAIA,GAAGjH,EAAEiH,EAAE,GAAG,SAASC,GAAGoJ,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGrJ,IAAIxC,EAAE,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAGD,EAAE,OAAOA,EAAE8L,CAAC,EAAE,KAAK,iDAAiD,OAAOC,GAAN,CAAU3J,GAAG2J,EAAE,CAAC,CAAC,CAAC,SAASxJ,IAAI,CAAC,GAAG,CAACtC,IAAI7E,GAAGC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAACiH,GAAGG,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASqJ,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCrJ,GAAG,IAAI,OAAOqJ,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOpJ,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG9F,EAAE,OAAO,IAAI,QAAQ,SAASmP,EAAEC,GAAG,CAACpP,EAAE8F,GAAG,SAASuJ,GAAG,CAACF,EAAE,IAAI,WAAWE,EAAE,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOrJ,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIkJ,EAAE,CAAC,IAAI5H,GAAG,uBAAuBA,EAAE,EAAE,SAAS6H,GAAGK,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQxT,EAAE,IAAI0T,GAAG3O,EAAE/E,EAAE,IAAI,OAAO0I,GAAG3D,EAAE,MAAM,EAAEiE,GAAGhJ,EAAE,IAAI,0BAA0BgH,GAAGhH,EAAE,IAAI,iBAAiB,EAAEuJ,GAAG,kBAAkB,CAAC,CAACD,GAAG,kBAAkB,EAAE,SAAS8J,GAAGI,GAAG,CAACL,GAAGK,GAAG,QAAQ,CAAC,CAAC,SAASH,GAAGG,GAAG,CAAC,OAAO7J,GAAG,EAAE,KAAK,SAAS8J,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAGP,CAAC,CAAC,CAAC,EAAE,KAAK,SAASO,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAAC9O,EAAE,0CAA0C8O,EAAE,EAAEjK,GAAGiK,EAAE,CAAC,CAAC,CAAC,CAAC,SAASH,IAAI,CAAC,MAAM,CAACjM,GAAG,OAAO,YAAY,sBAAsB,YAAY,CAACQ,GAAGgC,EAAE,GAAG,CAACH,GAAGG,EAAE,GAAG,CAACnH,GAAG,OAAO,OAAO,WAAW,MAAMmH,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS2J,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAGN,CAAC,EAAE,OAAOO,GAAG,KAAKL,GAAG,SAASM,GAAG,CAAC,OAAO/O,EAAE,kCAAkC+O,EAAE,EAAE/O,EAAE,2CAA2C,EAAE0O,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGpT,EAAE,gBAAgB,GAAG,CAAC,IAAIuT,GAAGvT,EAAE,gBAAgBkT,EAAEC,EAAE,EAAE,OAAOI,EAAE,OAAOC,GAAN,CAAU7O,EAAE,sDAAsD6O,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,OAAOF,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIvJ,GAAGE,GAAG,SAASC,GAAGgJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAAS/I,GAAG+I,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAElT,CAAC,CAAC,CAAC,SAASoK,IAAI,CAACZ,GAAG,EAAE,CAAC,CAAC,SAASa,IAAI,CAAC,MAAO,WAAU,CAAC,SAAShC,IAAI,CAAC,OAAOgC,GAAG,CAAC,CAAC,SAASC,GAAG4I,EAAEC,GAAGC,GAAG,CAACjL,GAAG,WAAW+K,EAAEC,GAAGA,GAAGC,EAAE,CAAC,CAAC,SAAS7I,GAAG2I,EAAE,CAAC,GAAG,CAAC,OAAOnO,EAAE,KAAKmO,EAAEjL,GAAG,WAAW,QAAQ,EAAE,EAAES,GAAG3D,EAAE,MAAM,EAAE,CAAC,OAAOoO,GAAN,CAAU,CAAC,CAAC,SAAS1L,GAAGyL,EAAE,CAAC,IAAIC,GAAGhL,GAAG,OAAO+K,EAAEA,IAAI,EAAE,IAAIE,GAAG/I,GAAG,EAAE,GAAG6I,EAAEE,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACK,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQL,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGJ,IAAI,EAAE,GAAGG,IAAIC,GAAG,KAAK,IAAIA,GAAGL,EAAE,SAAS,EAAE,IAAIM,GAAG,KAAK,IAAIJ,GAAGC,GAAG,KAAK,IAAIH,EAAEK,EAAE,EAAE,KAAK,CAAC,EAAEE,GAAGlJ,GAAGiJ,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIjJ,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAI0I,EAAE5K,GAAGkC,GAAG,QAAQ,GAAG,GAAG,OAAO0I,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,GAAG5L,EAAE2L,CAAC,EAAE,OAAOC,EAAE,CAAC,EAAE,SAAS1I,GAAGyI,EAAE,CAAC,MAAO,GAAE,CAAC,SAASxI,GAAGwI,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,MAAO,GAAE,CAAC,IAAI3I,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASK,GAAGkI,EAAEC,GAAG,CAAC,IAAIC,GAAGzI,GAAGuI,GAAGC,KAAK,GAAGA,KAAK,KAAKD,IAAI,EAAExO,EAAEC,GAAGmD,EAAEsL,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKD,EAAE,CAAC,CAAC,SAASlI,GAAGiI,EAAEC,GAAGC,GAAGC,GAAG,CAAC,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIC,GAAGjL,GAAG4K,IAAI,GAAGM,GAAGlL,GAAG4K,GAAG,GAAG,GAAGA,IAAI,EAAE,QAAQO,GAAG,EAAEA,GAAGD,GAAGC,KAAK1I,GAAGkI,EAAE/K,GAAGqL,GAAGE,GAAG,EAAEJ,IAAIG,EAAE,CAAC,OAAOlL,GAAG8K,IAAI,GAAGC,GAAG,CAAC,CAAC,SAASpI,GAAGgI,EAAE,CAAC,IAAIC,GAAGnT,EAAE,IAAIkT,GAAG,OAAOC,EAAE,CAAC,SAAS7L,GAAG4L,EAAEC,GAAG,CAACjL,GAAG,IAAIgL,EAAEC,EAAE,CAAC,CAAC,SAAShI,GAAG+H,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOS,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGvB,GAAGwB,EAAE,EAAElM,GAAGgM,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGvB,GAAGsB,GAAG,MAAM,EAAE,OAAO1M,GAAG0M,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAAST,GAAGQ,GAAG,CAAC,OAAOb,KAAK,SAAS5L,EAAEyM,EAAE,EAAEb,KAAK,UAAU,QAAQa,EAAE,EAAEA,EAAE,CAAC,IAAIP,GAAGvI,GAAGgI,CAAC,EAAEQ,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGN,GAAG,QAAQO,GAAG,EAAEA,GAAGP,GAAG,OAAOO,KAAK,CAAC,IAAIC,GAAGN,GAAGH,GAAGQ,KAAKC,IAAIF,KAAK,IAAIA,GAAGnB,GAAG,GAAGkB,GAAGE,IAAIC,GAAGR,GAAGO,GAAG,GAAGF,GAAGE,IAAIP,GAAGO,GAAG,CAAC,IAAIE,GAAGL,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASK,GAAGC,GAAG,CAAC,OAAOL,KAAK,GAAGlB,GAAGkB,EAAE,EAAEH,GAAGQ,EAAE,CAAC,CAAC,OAAOF,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASzI,GAAG6H,EAAEC,GAAGC,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMI,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAED,GAAGJ,KAAK,SAAS,OAAOI,IAAID,IAAI,CAACD,GAAGnI,GAAGgI,CAAC,EAAE,UAAU,CAAC,OAAO/H,GAAG+H,EAAEC,GAAGC,GAAG,UAAUC,EAAE,CAAC,CAAC,CAAC,IAAI/H,GAAG,CAAC,MAAMlB,GAAG,wBAAwB/B,GAAG,sBAAsBiC,GAAG,uBAAuB7C,GAAG,SAASgD,GAAG,QAAQC,GAAG,SAASO,EAAE,EAAEM,GAAGvB,GAAG,EAAEwB,GAAGxL,EAAE,mBAAmB,UAAU,CAAC,OAAOwL,GAAGxL,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEyL,GAAGzL,EAAE,MAAM,UAAU,CAAC,OAAOyL,GAAGzL,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2L,GAAG3L,EAAE,yBAAyB,UAAU,CAAC,OAAO2L,GAAG3L,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6L,GAAG7L,EAAE,mBAAmB,UAAU,CAAC,OAAO6L,GAAG7L,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,iBAAiB,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE8K,GAAG9K,EAAE,cAAc,UAAU,CAAC,OAAO8K,GAAG9K,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4J,GAAG5J,EAAE,SAAS,UAAU,CAAC,OAAO4J,GAAG5J,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiM,GAAGjM,EAAE,KAAK,UAAU,CAAC,OAAOiM,GAAGjM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4L,GAAG5L,EAAE,KAAK,UAAU,CAAC,OAAO4L,GAAG5L,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoM,GAAGpM,EAAE,MAAM,UAAU,CAAC,OAAOoM,GAAGpM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqM,GAAGrM,EAAE,KAAK,UAAU,CAAC,OAAOqM,GAAGrM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsM,GAAGtM,EAAE,KAAK,UAAU,CAAC,OAAOsM,GAAGtM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6K,GAAG7K,EAAE,QAAQ,UAAU,CAAC,OAAO6K,GAAG7K,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEwM,GAAGxM,EAAE,SAAS,UAAU,CAAC,OAAOwM,GAAGxM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0M,GAAG1M,EAAE,aAAa,UAAU,CAAC,OAAO0M,GAAG1M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE2M,GAAG3M,EAAE,MAAM,UAAU,CAAC,OAAO2M,GAAG3M,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4M,GAAG5M,EAAE,aAAa,UAAU,CAAC,OAAO4M,GAAG5M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE6M,GAAG7M,EAAE,QAAQ,UAAU,CAAC,OAAO6M,GAAG7M,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8M,GAAG9M,EAAE,qBAAqB,UAAU,CAAC,OAAO8M,GAAG9M,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE+M,GAAG/M,EAAE,KAAK,UAAU,CAAC,OAAO+M,GAAG/M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,MAAM,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiN,GAAGjN,EAAE,eAAe,UAAU,CAAC,OAAOiN,GAAGjN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEkN,GAAGlN,EAAE,SAAS,UAAU,CAAC,OAAOkN,GAAGlN,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEmN,GAAGnN,EAAE,QAAQ,UAAU,CAAC,OAAOmN,GAAGnN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoN,GAAGpN,EAAE,cAAc,UAAU,CAAC,OAAOoN,GAAGpN,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEqN,GAAGrN,EAAE,uBAAuB,UAAU,CAAC,OAAOqN,GAAGrN,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEsN,GAAGtN,EAAE,KAAK,UAAU,CAAC,OAAOsN,GAAGtN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuN,GAAGvN,EAAE,OAAO,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwN,GAAGxN,EAAE,KAAK,UAAU,CAAC,OAAOwN,GAAGxN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,eAAe,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,OAAO,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,UAAU,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,gBAAgB,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE0L,GAAG1L,EAAE,aAAa,UAAU,CAAC,OAAO0L,GAAG1L,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,sBAAsB,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,QAAQ,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,UAAU,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,SAAS,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,cAAc,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,OAAO,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,WAAW,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,MAAM,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,WAAW,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,KAAK,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,YAAY,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,YAAY,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,WAAW,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,YAAY,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4K,GAAG5K,EAAE,SAAS,UAAU,CAAC,OAAO4K,GAAG5K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,SAAS,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,MAAM,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,KAAK,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,SAAS,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,WAAW,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,UAAU,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,KAAK,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,qBAAqB,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,qBAAqB,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,qBAAqB,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,UAAU,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,QAAQ,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,OAAO,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,KAAK,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,OAAO,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,MAAM,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,SAAS,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,MAAM,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,OAAO,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,gBAAgB,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,uBAAuB,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,SAAS,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,kBAAkB,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,OAAO,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,OAAO,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,WAAW,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,UAAU,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,SAAS,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,KAAK,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,SAAS,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,qBAAqB,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,eAAe,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,wBAAwB,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,MAAM,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,QAAQ,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,mBAAmB,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,cAAc,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,KAAK,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,KAAK,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,KAAK,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,MAAM,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,MAAM,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,MAAM,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,WAAW,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,WAAW,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,cAAc,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,QAAQ,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,MAAM,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,kBAAkB,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,UAAU,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,aAAa,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,WAAW,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,iBAAiB,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,aAAa,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,MAAMqL,GAAG,IAAIwH,GAAGxJ,GAAG,SAAS6J,GAAG,CAACL,IAAIC,GAAG,EAAED,KAAKxJ,GAAG6J,EAAE,EAAE,SAASJ,GAAGI,EAAE,CAAC,GAAGA,EAAEA,GAAGrR,EAAE6E,GAAG,IAAIG,GAAG,EAAEH,GAAG,GAAG,OAAO,SAASyM,IAAI,CAACN,KAAKA,GAAG,GAAG7S,EAAE,UAAU,GAAG,CAACgF,IAAImE,GAAG,EAAEjJ,EAAEF,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE8G,GAAG,GAAG,CAAC9G,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEmT,GAAG,CAAC,EAAE,CAAC,GAAGA,GAAG,CAAC,CAAC,GAAGnT,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAE8S,GAAG,EAAE,IAAIC,GAAGpR,IAAIoR,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASG,EAAE,CAAC,MAAM,CAACvR,EAAE,kBAAkB,QAAQuR,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACvR,EAAE,mBAAmB,QAAQuR,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIF,GAAG,GAAG,OAAOtS,GAAG,YAAYsS,GAAGtS,UAAU,OAAO,+BAA+B,YAAYsS,GAAG,kCAAmC,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAGD,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEH,GAAG,mBAAmB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOxS,EAAE,KAAK,CAAC,GAAG,EAAE,OAAOiW,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,kBAAkBE,EAAG,CAAC,EAAMj0B,GAAG,KAAK,CAAC,YAAY8d,EAAEV,EAAE,CAAC,KAAK,QAAQU,EAAE,KAAK,UAAUV,EAAE,KAAK,KAAK,IAAI,QAAQ,KAAK,aAAa,CAAC,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,GAAG,KAAK,UAAU,SAAS,KAAK,QAAQA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,IAAIA,EAAEV,EAAE,CAAC,KAAK,eAAe,KAAK,KAAK,IAAIU,EAAEV,CAAC,CAAC,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,eAAe,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,YAAY,CAAC,EAAElb,GAAG,KAAK,CAAC,SAASkb,EAAE,CAAC,OAAOoW,GAAG,UAAU,CAAC,CAAC,OAAOpW,EAAE,CAAC,OAAOoW,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,MAAM,EAAE,CAAC,KAAKpW,EAAE,CAAC,OAAOoW,GAAG,MAAM,CAAC,CAAC,KAAKpW,EAAE,CAAC,OAAOoW,GAAG,MAAM,CAAC,CAAC,SAASpW,EAAE,CAAC,OAAOoW,GAAG,UAAU,CAAC,CAAC,UAAUpW,EAAEV,EAAE,CAAC,OAAO8W,GAAG,WAAW,CAAC,CAAC,YAAY,CAAC,OAAOA,GAAG,YAAY,CAAC,CAAC,YAAYpW,EAAEV,EAAE,CAAC,OAAO8W,GAAG,aAAa,CAAC,CAAC,MAAMpW,EAAEV,EAAE,EAAE,CAAC,OAAO8W,GAAG,OAAO,CAAC,CAAC,KAAKpW,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAOmV,GAAG,MAAM,CAAC,CAAC,wBAAwBpW,EAAEV,EAAE,EAAE,CAAC,OAAO8W,GAAG,yBAAyB,CAAC,CAAC,QAAQ,CAAC,OAAOA,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG,KAAK,IAAI,CAAC,SAAS,CAAC,OAAOA,GAAG,SAAS,CAAC,CAAC,EAAE,SAASA,GAAGhX,EAAE,CAAC,MAAM,IAAI,MAAM,IAAIA,2HAA2H,CAAC,CAAC,SAASiX,GAAGjX,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAOE,EAAE,EAAE,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,EAAE,EAAE,EAAE,IAAIgX,GAAGlX,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASiX,GAAGnX,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yEAAyEA,EAAE,iCAAiC,EAAE,QAAQ,EAAE,IAAIE,EAAEF,EAAE,OAAOI,EAAE,EAAE,KAAKF,EAAE,GAAGE,EAAE,KAAK,OAAO,EAAEF,EAAE,EAAEA,IAAIgX,GAAGlX,EAAEE,EAAEE,CAAC,EAAE8W,GAAG,EAAEhX,EAAEE,CAAC,CAAC,CAAC,SAASgX,GAAGpX,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,IAAIF,EAAE,KAAK,IAAI,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASmX,GAAGrX,EAAE,CAAC,OAAOA,EAAE,IAAI,EAAEA,EAAEA,EAAE,CAAC,CAAC,SAASkX,GAAGlX,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAGA,EAAE,GAAGA,EAAEE,GAAGF,EAAEE,GAAGE,CAAC,CAAC,SAASkX,GAAGtX,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAASqX,GAAGvX,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,OAAO,EAAEA,GAAG,EAAEA,GAAGF,CAAC,CAAC,SAASwX,GAAGxX,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAE,OAAOL,EAAEI,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEF,GAAGG,EAAEA,CAAC,CAAC,OAAOH,CAAC,CAAC,SAASuX,EAAEzX,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAI,MAAM,OAAO,GAAG,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS0X,GAAG1X,EAAE,EAAEE,EAAE,GAAG,CAACuX,EAAEE,GAAG3X,EAAE,CAAC,EAAE,IAAIE,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,SAAS4X,GAAG5X,EAAE,CAACyX,EAAEzX,GAAG,KAAK,IAAI,+DAA+D,CAAC,CAAC,SAAS6X,GAAG7X,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAO,GAAE,IAAI,EAAEA,EAAE,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,GAAG,OAAO,CAAC,CAAC,SAAS4X,GAAG9X,EAAE,CAAC,OAAOA,EAAE,SAAS,CAAC,CAAC,SAAS2X,GAAG3X,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,GAAG,MAAM,GAAG,MAAMA,EAAE,SAAS,EAAE,OAAO,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,KAAK,EAAEA,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS6X,GAAG/X,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASgY,GAAGhY,EAAE,CAAC,GAAG,KAAK,MAAM,KAAK,OAAO,KAAK,KAAKA,CAAC,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAO,GAAE,GAAGA,IAAI,GAAG,EAAE,MAAM,GAAG,CAAC,IAAI,EAAE,KAAK,IAAI,EAAEA,CAAC,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,CAAC,CAAC,SAASiY,GAAGjY,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,KAAK,KAAKA,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,SAASkY,GAAGlY,EAAE,CAAC,IAAI,EAAE,IAAI,YAAYA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,EAAEA,GAAGA,EAAE,OAAO+W,GAAG,CAAC,EAAE,CAAC,CAAC,SAASkB,GAAGnY,EAAE,EAAE,CAAC,OAAO,GAAGA,EAAE,OAAOA,EAAEA,EAAE,IAAI,OAAO,EAAEA,EAAE,MAAM,CAAC,CAAC,SAASoY,GAAGpY,EAAE,EAAEK,GAAG,EAAEH,EAAEE,EAAE,CAAC,OAAO,IAAI,QAAQ,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,EAAE0B,EAAE,IAAI,CAAC,GAAG/B,EAAE,EAAE,CAACK,EAAE,EAAE,MAAM,CAAC,IAAI,IAAI2B,EAAE,EAAE,CAAC,EAAE,GAAG9B,GAAG,MAAM,GAAGA,EAAE,CAAC,EAAE,EAAE,MAAM,CAACE,GAAG,KAAKA,EAAE2B,EAAEC,CAAC,EAAE,WAAWD,EAAEC,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,SAASsW,GAAGrY,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAEE,GAAGF,EAAE,WAAWA,EAAE,KAAK,GAAG,CAAC,GAAGI,IAAI,GAAG,MAAM,MAAM,yDAAyDA,aAAa,GAAG,EAAEA,EAAE,CAAC,SAASJ,EAAE,GAAG,EAAE,MAAM,MAAM,gCAAgCA,EAAE,aAAa,GAAG,EAAE,GAAGI,IAAI,GAAG,CAAC,GAAG,EAAE,GAAG,IAAIF,EAAE,MAAM,MAAM,QAAQ,sCAAsCF,GAAG,EAAE,OAAOA,CAAC,CAAC,GAAGE,IAAI,EAAE,MAAM,MAAM,qCAAqCF,8BAA8B,EAAE,GAAG,EAAEE,IAAI,EAAE,MAAM,MAAM,wDAAwD,OAAOA,GAAG,EAAE,IAAIG,EAAEL,EAAE,MAAM,EAAE,OAAOK,EAAED,GAAG,EAAEF,EAAEG,CAAC,CAAC,SAASiY,GAAGtY,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,OAAOF,EAAEA,GAAG,KAAK,EAAE,IAAI,CAACI,EAAEC,IAAIA,CAAC,EAAE,CAAC,EAAE,OAAOL,CAAC,EAAEyX,EAAEzX,EAAE,MAAMI,GAAGA,GAAG,CAACF,GAAGE,EAAEF,CAAC,EAAE,IAAI,+CAA+CA,MAAMA,mBAAmBF,GAAG,EAAEyX,EAAEzX,EAAE,MAAMI,GAAG2X,GAAG3X,CAAC,CAAC,EAAE,IAAI,0DAA0DJ,GAAG,EAAEA,EAAE,IAAII,GAAGA,EAAE,EAAEF,EAAEE,EAAEA,CAAC,CAAC,CAAC,SAASmY,GAAGvY,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEC,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,SAAS,EAAE,EAAE,GAAG,MAAMA,EAAE,KAAKiY,GAAG,EAAEtY,CAAC,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE,OAAO,EAAE+B,EAAE,CAAC,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,KAAKA,GAAG/B,EAAE+B,KAAK,EAAE,MAAM,IAAI,MAAM,sBAAsBA,oBAAoB/B,EAAE+B,cAAc,GAAG,EAAE,IAAI,MAAM,EAAE,GAAGA,IAAI/B,EAAE+B,KAAK,IAAI7B,EAAE,KAAKF,EAAE+B,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,GAAG,EAAE,IAAIA,GAAG,GAAG,CAAC/B,EAAE+B,KAAK,IAAI7B,EAAE,KAAKF,EAAE+B,EAAE,EAAE3B,EAAE,KAAK2B,CAAC,EAAE,CAAC,MAAM,CAAC,SAAS7B,EAAE,SAASE,CAAC,CAAC,CAAC,SAASoY,GAAGxY,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAASuY,GAAGzY,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,SAASE,EAAE,IAAI,MAAM,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAASwY,GAAG1Y,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,GAAG,GAAG,MAAME,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,MAAM,MAAM,oBAAoB,6BAA6BA,IAAI,CAAC,CAAC,CAAC,SAASuY,GAAG3Y,EAAE,CAAC,OAAOA,IAAI,QAAQA,IAAI,aAAaA,IAAI,WAAWA,IAAI,SAASA,IAAI,QAAQ,CAAC,SAAS4Y,GAAG5Y,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,aAAa,IAAI,WAAWA,IAAI,aAAa,IAAI,SAASA,IAAI,WAAWA,IAAI,aAAa,IAAI,QAAQA,IAAI,OAAO,CAAC,SAAS6Y,GAAG7Y,EAAE,CAAC,GAAGA,IAAI,WAAWA,IAAI,QAAQ,MAAO,GAAE,GAAGA,IAAI,YAAY,MAAO,GAAE,GAAGA,IAAI,OAAO,MAAO,GAAE,MAAM,IAAI,MAAM,iBAAiBA,GAAG,CAAC,CAAC,SAAS8Y,GAAG9Y,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAO,GAAE,IAAI,EAAE,EAAE,OAAOA,EAAE,QAAQE,GAAG,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,SAAS6Y,GAAG/Y,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,aAAa,MAAM,CAAC,SAASgZ,GAAGhZ,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAAC,SAASiZ,GAAGjZ,EAAE,CAAC,OAAO,OAAOA,GAAG,QAAQ,CAAC,SAASkZ,GAAGlZ,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEkZ,GAAGlZ,EAAE,EAAE,EAAEA,aAAa,aAAa,UAAUA,aAAa,YAAYA,aAAa,YAAYA,aAAa,kBAAkB,QAAQiZ,GAAGjZ,CAAC,EAAE,UAAU+Y,GAAG/Y,CAAC,EAAE,SAASgZ,GAAGhZ,CAAC,EAAE,OAAO,SAAS,CAAC,SAASmZ,GAAGnZ,EAAE,CAAC,MAAM,CAAC,EAAEA,GAAGA,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAM,CAAC,SAASoZ,GAAGpZ,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,GAAGF,EAAEE,IAAI,EAAE,OAAOA,EAAE,OAAOF,CAAC,CAAC,SAASqZ,GAAGrZ,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEA,EAAE,EAAE,GAAGF,EAAE,EAAE,GAAG,QAAQI,EAAE,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAEF,EAAEE,GAAGF,EAAEE,EAAE,GAAGJ,EAAEI,EAAE,GAAG,OAAOF,CAAC,CAAC,SAASoZ,GAAGtZ,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,IAAI,MAAM,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,IAAID,EAAE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIC,EAAE,GAAGH,EAAEF,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,CAAC,EAAE+B,EAAE,EAAE,OAAO,CAACC,EAAEC,IAAID,EAAEC,CAAC,GAAG7B,EAAE,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAE,EAAEA,IAAI3B,EAAE2B,GAAGsX,GAAGtZ,EAAEgC,EAAED,EAAE,EAAE7B,EAAEE,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,SAASkZ,GAAGvZ,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,EAAE,SAAS,EAAE,OAAO,EAAE,GAAG,IAAII,EAAEJ,EAAE,OAAO,CAACK,EAAE,IAAIA,EAAE,CAAC,GAAGH,EAAE,EAAE,GAAG,GAAGE,IAAI,EAAE,MAAM,CAAC,EAAE,GAAGA,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,IAAIJ,oCAAoC,EAAE,SAASE,EAAE,wBAAwB,KAAK,EAAE,OAAOoZ,GAAG,EAAEtZ,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASsZ,GAAGxZ,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAOA,EAAE,GAAG,IAAI,UAAU,OAAOA,aAAa,aAAaA,EAAE,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOA,aAAa,WAAWA,EAAE,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,QAAQ,IAAI,SAAS,OAAO,WAAW,KAAK,IAAI,WAAWA,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAASyZ,GAAGzZ,EAAE,EAAE,CAAC,IAAIE,EAAEwZ,GAAG1Z,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,GAAG,EAAE,OAAOF,CAAC,CAAC,SAASwZ,GAAG1Z,EAAE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAAS2Z,GAAG3Z,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,CAACI,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,MAAM,IAAI,UAAU,OAAOkZ,GAAGvZ,EAAE,IAAI,aAAaE,CAAC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOqZ,GAAGvZ,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,GAAG,IAAI,OAAO,OAAOqZ,GAAGvZ,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAAS0Z,GAAG5Z,EAAE,CAACA,EAAE,QAAQ,GAAG,CAACyX,EAAE,OAAO,UAAU,CAAC,GAAG,GAAG,EAAE,IAAI,0EAA0EzX,KAAK,CAAC,CAAC,CAAC,CAAC,SAAS6Z,GAAG7Z,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAO,GAAE,GAAG,IAAI,EAAE,OAAOF,EAAE,GAAG,IAAII,EAAEJ,EAAEA,EAAE,OAAO,GAAG,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAE,EAAEK,EAAED,GAAGF,EAAEG,GAAGL,EAAEK,GAAG,OAAOD,CAAC,CAAC,SAAS0Z,GAAG9Z,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,CAAC,EAAE,GAAG,IAAI,EAAE,MAAM,CAACF,CAAC,EAAE,IAAII,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAE,EAAEC,EAAED,EAAEC,GAAG,KAAK,MAAML,EAAEE,EAAEG,EAAE,EAAEL,GAAGI,EAAEC,GAAGH,EAAEG,GAAG,OAAOD,EAAEA,EAAE,OAAO,GAAGJ,EAAEI,CAAC,CAAC,SAAS2Z,GAAG/Z,EAAE,CAAC,OAAOA,GAAGA,EAAE,MAAM,OAAOA,EAAE,MAAM,UAAU,CAAC,IAAIga,GAAG,YAAYn2B,GAAG,KAAK,CAAC,YAAY+c,EAAE,CAAC,KAAK,OAAOA,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,eAAeqZ,GAAG,KAAK,iBAAiB,CAAC,CAAC,YAAYrZ,EAAEV,EAAE,CAAC,KAAK,UAAU,OAAOtO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoEgP,IAAI,GAAG,KAAK,aAAaA,EAAE,KAAK,SAASV,CAAC,CAAC,aAAaU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,aAAaU,GAAG,CAAC,aAAaV,EAAE,QAAQ,CAAC,EAAE,KAAK,SAASU,IAAI,KAAK,CAAC,IAAIP,EAAE,KAAK,SAASO,GAAGhP,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,qCAAqCgP,MAAMP,IAAI,EAAE,KAAK,IAAIO,EAAEP,CAAC,CAAC,CAAC,CAAC,MAAM,SAASO,EAAE,CAAC,OAAOA,KAAK,KAAK,MAAM,KAAK,MAAMA,IAAI,KAAK,MAAMA,GAAG,MAAM,KAAK,aAAaA,CAAC,EAAE,KAAK,MAAMA,GAAG,CAAC,IAAIA,EAAE,CAAC,GAAGA,KAAK,KAAK,MAAM,OAAO,KAAK,MAAMA,GAAG,IAAIV,EAAE,KAAK,aAAaU,CAAC,EAAE,GAAGmZ,GAAG7Z,CAAC,EAAE,MAAM,IAAI,MAAM,QAAQU,qEAAqE,EAAE,OAAO,KAAK,MAAMA,GAAGV,EAAE,KAAK,MAAMU,EAAE,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAIA,EAAEV,EAAE,CAAC,GAAG,KAAK,aAAaU,IAAI,KAAK,MAAM,IAAI,MAAM,mBAAmBA,kCAAkC,EAAE,KAAK,MAAMA,GAAGV,EAAE,KAAK,aAAaU,GAAG,SAAS,MAAM,KAAK,aAAaA,GAAG,QAAQV,CAAC,CAAC,CAAC,aAAaU,EAAE,CAAC,GAAG,KAAK,aAAaA,IAAI,KAAK,MAAM,IAAI,MAAM,yBAAyBA,mCAAmC,EAAE,OAAO,KAAK,aAAaA,GAAG,aAAa,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,MAAM,OAAO,OAAO,CAAC,EAAEA,CAAC,CAAC,CAAC,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,iBAAiB,CAAC,CAAC,kBAAkB,CAAC,GAAG,OAAO,KAAK,QAAQ,aAAa,OAAO,KAAK,OAAO,UAAU,aAAa,OAAO,KAAK,OAAO,SAAS,QAAQ,YAAY,OAAO,IAAIA,EAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM,EAAEoZ,MAAMpZ,GAAGA,EAAEoZ,IAAI,MAAM,GAAG,EAAE,QAAQ5Z,GAAG,CAAC,GAAG,CAACC,EAAEwB,CAAC,EAAEzB,EAAE,MAAM,GAAG,EAAE,KAAK,SAASC,GAAG6Z,GAAG7Z,EAAEwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASoY,GAAGja,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOA,EAAE,QAAQ,8BAA8B,CAACE,KAAKE,KAAK+Z,GAAG,EAAE/Z,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,CAAC,SAAS+Z,GAAGna,EAAE,EAAEE,EAAE,CAACF,EAAE,mBAAmB,CAAC,GAAG,mBAAmBE,GAAG,EAAE,CAAC,CAAC,SAASga,GAAGla,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,YAAY,EAAE,IAAI,QAAQ,IAAI,QAAQ,OAAO,IAAI,OAAO,GAAG,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,oCAAoC,cAAcA,IAAI,CAAC,CAAC,SAASpO,GAAG,CAAC,OAAOpO,EAAE,CAAC,IAAIA,GAAG,KAAK,SAAS42B,GAAGpa,EAAE,CAACxc,GAAGwc,CAAC,CAAC,IAAIqa,GAAG,SAASC,IAAI,CAAC,GAAGD,IAAI,KAAK,CAAC,IAAIra,EAAE,GAAG,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,SAAS,YAAYA,EAAE,gBAAgB,OAAO,MAAM,YAAYA,EAAE,SAAU,OAAM,IAAI,MAAM,gCAAgC,EAAEqa,GAAGra,CAAC,CAAC,OAAOqa,EAAE,CAAC,SAASE,IAAI,CAAC,IAAIva,EAAEsa,GAAG,EAAE,OAAOta,EAAE,YAAY,OAAOA,EAAE,WAAW,IAAI,KAAKA,EAAE,UAAU,CAAC,SAASwa,GAAGxa,EAAE,EAAE,CAAC,IAAIE,EAAEqa,GAAG,EAAE,GAAGra,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,CAAC,IAAII,EAAE,EAAE,EAAE,OAAOF,EAAE,IAAIF,EAAEI,CAAC,EAAEF,EAAE,IAAIF,CAAC,CAAC,CAAC,CAAC,IAAIlgB,GAAG,MAAMC,GAAG,OAAOC,GAAG,QAAQK,GAAG,MAAMC,GAAG,OAAOC,GAAG,MAAMC,GAAG,MAAMC,GAAG,SAASC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,OAAOE,GAAG,QAAQD,GAAG,QAAQE,GAAG,UAAUG,GAAG,cAAcF,GAAG,YAAYC,GAAG,gBAAgBG,GAAG,cAAcC,GAAG,iBAAiBC,GAAG,WAAWE,GAAG,cAAcD,GAAG,gBAAgBI,GAAG,OAAOC,GAAG,OAAOC,GAAG,cAAcC,GAAG,UAAUC,GAAG,aAAaC,GAAG,SAASC,GAAG,SAASC,GAAG,uBAAuBC,GAAG,sBAAsBC,GAAG,SAASC,GAAG,yBAAyBC,GAAG,wBAAwBC,GAAG,MAAMC,GAAG,OAAOE,GAAG,UAAUC,GAAG,SAASF,GAAG,gBAAgBK,GAAG,gBAAgBC,GAAG,eAAeC,GAAG,wBAAwBC,GAAG,sCAAsCC,GAAG,qCAAqCC,GAAG,OAAOC,GAAG,aAAaE,GAAG,0BAA0BD,GAAG,2BAA2B6F,GAAG,UAAUzF,GAAG,SAASC,GAAG,MAAMC,GAAG,UAAUG,GAAG,MAAMD,GAAG,QAAQE,GAAG,MAAMC,GAAG,aAAaC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,gBAAgBC,GAAG,QAAQC,GAAG,WAAWE,GAAG,iBAAiBK,GAAG,WAAWD,GAAG,WAAWG,GAAG,UAAUC,GAAG,eAAeG,GAAG,WAAWD,GAAG,OAAOE,GAAG,OAAOE,GAAG,WAAWC,GAAG,QAAQC,GAAG,QAAQM,GAAG,YAAYC,GAAG,OAAOC,GAAG,YAAYC,GAAG,WAAWC,GAAG,MAAMC,GAAG,QAAQE,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,aAAaJ,GAAG,aAAaK,GAAI,aAAaf,GAAG,MAAMC,GAAG,UAAUgB,GAAG,MAAMM,GAAG,UAAUL,GAAG,UAAUG,GAAG,cAAcF,GAAG,YAAYC,GAAG,gBAAgBE,GAAG,oBAAoBE,GAAG,OAAOC,GAAG,MAAMC,GAAG,UAAUC,GAAG,YAAYC,GAAG,MAAME,GAAG,cAAcC,GAAG,WAAWC,GAAG,MAAMI,GAAG,WAAWH,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,sBAAsBI,GAAG,WAAWD,GAAG,SAASI,GAAG,OAAOC,GAAG,QAAQC,GAAI,OAAOC,GAAG,MAAMC,GAAG,QAAQC,GAAG,OAAOG,GAAG,eAAeC,GAAG,cAAcC,GAAG,uBAAuBC,GAAG,QAAQE,GAAG,OAAOE,GAAG,aAAaE,GAAG,OAAOE,GAAG,UAAUG,GAAG,wBAAwBC,GAAG,4BAA4BH,GAAG,iBAAiBC,GAAG,qBAAqBH,GAAG,QAAQM,GAAG,UAAUE,GAAG,QAAQC,GAAG,QAAQE,GAAG,YAAYC,GAAG,eAAeC,GAAG,SAASC,GAAG,OAAOM,GAAG,QAAQF,GAAG,MAAMC,GAAG,OAAOF,GAAG,OAAOD,GAAG,UAAUM,GAAG,WAAWQ,GAAG,OAAOS,GAAG,MAAMhB,GAAG,iBAAiBM,GAAG,SAASR,GAAG,UAAUG,GAAG,sBAAsBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,mBAAmBC,GAAG,gBAAgBI,GAAG,oBAAoBD,GAAG,SAASG,GAAG,eAAeC,GAAG,eAAeC,GAAG,cAAcC,GAAG,yBAAyBC,GAAG,MAAMG,GAAG,MAAMC,GAAG,OAAOG,GAAG,OAAOC,GAAG,OAAOC,GAAG,YAAYC,GAAG,YAAYC,GAAG,SAASC,GAAG,SAASC,GAAG,qBAAqBC,GAAI,aAAaE,GAAG,YAAYrB,GAAG,OAAOhH,GAAG,aAAasF,GAAG,mBAAmBgD,GAAG,eAAepI,GAAG,cAAcC,GAAG,uBAAuB,SAAS81B,MAAMza,EAAE,CAACpO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,GAAGoO,CAAC,CAAC,CAAC,SAAS0a,MAAM1a,EAAE,CAACpO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,IAAI,GAAGoO,CAAC,CAAC,CAAC,IAAI2a,GAAGH,GAAG,iBAAiB,IAAI,IAAI,GAAG,EAAEI,GAAGJ,GAAG,eAAe,IAAI,IAAI,GAAG,EAAE,SAASvnB,GAAG+M,EAAE,EAAE,CAAC,IAAIE,EAAE2a,GAAG7a,EAAE,CAAC,EAAE,OAAO2a,GAAG,IAAIza,CAAC,CAAC,CAAC,SAASlN,GAAGgN,EAAE,CAAC,OAAO4a,GAAG,IAAI5a,CAAC,CAAC,CAAC,SAAS9M,GAAG8M,EAAE,CAAC,IAAI,EAAE2a,GAAG,QAAQ,EAAEza,EAAE,CAAC,EAAE,OAAO,CAAC,GAAG,CAAC,KAAKE,EAAE,MAAMC,CAAC,EAAE,EAAE,KAAK,EAAE,GAAGD,EAAE,MAAM,GAAG,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC0B,CAAC,EAAE,EAAE,MAAM,GAAG,EAAEA,IAAI/B,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS9G,GAAG4G,EAAE,CAAC,GAAG,CAAC,WAAW,EAAE,YAAYE,CAAC,EAAEF,EAAEI,EAAEya,GAAG,EAAE3a,CAAC,EAAEya,GAAG,IAAIva,CAAC,GAAGqa,GAAG,eAAe,mBAAmBva,0BAA0B,EAAEya,GAAG,IAAIva,EAAEJ,CAAC,CAAC,CAAC,SAAS7G,GAAG6G,EAAE,CAAC,GAAG,CAAC,WAAW,CAAC,EAAEA,EAAE4a,GAAG,IAAI,CAAC,GAAGhpB,EAAE,EAAE,QAAQ,OAAO,GAAG6oB,GAAG,gCAAgC,IAAI,EAAEG,GAAG,IAAI,EAAE5a,CAAC,CAAC,CAAC,SAAS7B,GAAI6B,EAAE,EAAE,CAAC,IAAIE,EAAE2a,GAAG7a,EAAE,CAAC,EAAE,GAAG,CAAC2a,GAAG,IAAIza,CAAC,EAAE,MAAM,IAAI,MAAM,eAAeF,mBAAmB,sBAAsB,EAAE2a,GAAG,OAAOza,CAAC,CAAC,CAAC,SAAShC,GAAI8B,EAAE,CAAC,GAAG,CAAC4a,GAAG,IAAI5a,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiBA,kCAAkC,EAAE4a,GAAG,OAAO5a,CAAC,CAAC,CAAC,SAASjQ,GAAIiQ,EAAE,EAAE,CAAC9M,GAAG8M,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAIK,EAAE,OAAO,OAAO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,CAAC,EAAEjH,GAAGiH,CAAC,CAAC,CAAC,CAAC,CAAC,SAASwa,GAAG7a,EAAE,EAAE,CAAC,MAAM,GAAG,KAAKA,GAAG,CAAC,IAAIxB,EAAE,CAAC,EAAEyB,GAAGzB,EAAE,CAAC,YAAY,IAAImZ,GAAG,OAAO,IAAIF,EAAE,mCAAmC,IAAImC,GAAG,cAAc,IAAIhC,GAAG,kBAAkB,IAAIF,GAAG,qBAAqB,IAAIoB,GAAG,gBAAgB,IAAID,GAAG,yBAAyB,IAAIH,GAAG,MAAM,IAAItB,GAAG,eAAe,IAAIiC,GAAG,mCAAmC,IAAIG,GAAG,kBAAkB,IAAIsB,GAAG,sBAAsB,IAAI5C,GAAG,aAAa,IAAI6C,GAAG,YAAY,IAAIvD,GAAG,aAAa,IAAIwD,GAAG,MAAM,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,kBAAkB,IAAI1C,GAAG,uBAAuB,IAAID,GAAG,gBAAgB,IAAII,GAAG,UAAU,IAAIwC,GAAG,WAAW,IAAItB,GAAG,WAAW,IAAIZ,GAAG,uBAAuB,IAAIb,GAAG,UAAU,IAAIW,GAAG,WAAW,IAAIG,GAAG,MAAM,IAAIpB,GAAG,SAAS,IAAIkB,GAAG,UAAU,IAAIc,GAAG,cAAc,IAAIjC,GAAG,SAAS,IAAIiB,GAAG,aAAa,IAAIsC,GAAG,aAAa,IAAI1C,GAAG,WAAW,IAAIkB,GAAG,mBAAmB,IAAIJ,GAAG,0BAA0B,IAAIE,GAAG,oBAAoB,IAAID,GAAG,eAAe,IAAIN,GAAG,kBAAkB,IAAI/B,GAAG,IAAI,IAAIiE,GAAG,eAAe,IAAIhD,GAAG,YAAY,IAAIf,GAAG,YAAY,IAAIa,GAAG,SAAS,IAAID,GAAG,QAAQ,IAAIlB,GAAG,aAAa,IAAIE,GAAG,cAAc,IAAIU,GAAG,oBAAoB,IAAII,GAAG,aAAa,IAAIM,GAAG,IAAI,IAAIjB,GAAG,KAAK,IAAIJ,GAAG,KAAK,IAAIc,GAAG,cAAc,IAAIuB,GAAG,aAAa,IAAIgC,EAAE,CAAC,EAAE,IAAIC,GAAGlb,GAAGC,GAAG,CAAC,EAAMkb,GAAGD,GAAG,SAASA,GAAG,SAASJ,GAAGpb,EAAE,CAAC,OAAOyb,GAAG,WAAWzb,EAAE,GAAG,EAAE,CAAC,CAAC,IAAI0b,GAAGN,GAAG,kBAAkB,EAAEO,GAAGP,GAAG,kBAAkB,EAAEQ,GAAGR,GAAG,kBAAkB,EAAE,SAASS,GAAG7b,EAAE,CAAC,OAAOA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS8b,GAAG9b,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,EAAE,EAAEE,CAAC,EAAE,OAAOub,GAAG,UAAU,MAAM,KAAKrb,CAAC,EAAE,GAAG,EAAE,CAAC,CAAC,SAAS2b,GAAG/b,EAAE,EAAE,CAAC,OAAO8b,GAAG9b,EAAE,EAAE,CAAC,CAAC,CAAC,SAASgc,GAAGhc,EAAE,EAAE,CAAC,OAAO8b,GAAG9b,EAAE,EAAE,CAAC,CAAC,CAAC,SAASic,GAAGjc,EAAE,EAAE,CAAC,OAAO,IAAI,EAAEA,EAAEA,EAAE,KAAK,CAAC,EAAE,GAAGA,EAAE,IAAI,GAAG,CAAC,CAAC,CAAC,CAAC,SAASkc,GAAGlc,EAAE,EAAEE,EAAEkb,GAAG,kBAAkB,EAAE,CAAC,IAAIhb,EAAEJ,EAAE,IAAI,CAAC,EAAE,IAAIE,CAAC,EAAEE,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIC,EAAE,EAAE,IAAID,CAAC,EAAE,IAAIF,CAAC,EAAE,OAAOG,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAEA,EAAE,IAAIH,CAAC,EAAEG,CAAC,CAAC,SAAS8b,GAAGnc,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACA,EAAEA,EAAE,IAAIL,CAAC,EAAE,EAAEic,GAAG,EAAE,IAAI5b,CAAC,EAAE,IAAID,CAAC,EAAE,EAAE,EAAE,IAAI,EAAEC,EAAE,OAAOA,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAEA,EAAE,IAAIH,CAAC,EAAE,EAAE,EAAE,IAAI+b,GAAG5b,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,IAAID,CAAC,EAAE,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,SAASgc,GAAGpc,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO+b,GAAGJ,GAAG/b,EAAE,CAAC,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE+b,GAAG/b,EAAE,EAAE,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASic,GAAGrc,EAAE,EAAEA,EAAE,OAAO,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI4b,EAAE,EAAEvb,EAAE0b,GAAG/b,EAAE,EAAE,CAAC,EAAE,EAAEic,GAAG5b,EAAE,EAAE,EAAE,IAAIH,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG7b,EAAE,EAAE,EAAE,IAAIC,CAAC,EAAE,IAAIH,CAAC,EAAE,OAAOgc,GAAG,EAAE,EAAEhc,CAAC,CAAC,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIA,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE4b,GAAGhc,EAAE,CAAC,EAAE,OAAOkc,GAAG9b,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAE4b,GAAGhc,EAAE,EAAE,CAAC,EAAEE,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAIA,EAAEF,EAAE,GAAGI,EAAEJ,EAAE,GAAG,GAAGK,EAAEL,EAAE,EAAE,GAAG,EAAEE,GAAGE,GAAG,GAAG,EAAE,GAAGC,GAAG,GAAG,OAAOwb,GAAGD,GAAG,IAAI,CAAC,EAAE,IAAIF,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,OAAOA,EAAE,CAAC,SAASU,GAAGtc,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI2b,EAAE,EAAEtb,EAAE0b,GAAG/b,EAAE,CAAC,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG/b,EAAE,EAAE,EAAE,EAAE,IAAI4b,EAAE,EAAE,OAAOM,GAAGD,GAAG7b,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAI4b,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE7b,EAAE,IAAI6b,GAAG5b,EAAE,IAAIub,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE1b,CAAC,CAAC,CAAC,SAASqc,GAAGvc,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI4b,EAAE,EAAEvb,EAAE0b,GAAG/b,EAAE,CAAC,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG/b,EAAE,EAAE,EAAE,EAAE,IAAI4b,EAAE,EAAE7Z,EAAEka,GAAG7b,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAI4b,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEja,EAAEka,GAAGna,EAAE3B,EAAE,IAAI6b,GAAG5b,EAAE,IAAIub,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE1b,CAAC,EAAE+B,EAAE8Z,GAAG/b,EAAE,EAAE,EAAE,IAAIE,CAAC,EAAEwC,EAAEqZ,GAAG/b,EAAE,EAAE,EAAE2C,EAAEZ,EAAE,IAAIga,GAAG/b,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE0C,EAAEZ,EAAE,IAAI+Z,GAAG/b,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,OAAOgc,GAAGD,GAAGha,EAAE,IAAIS,CAAC,EAAE,EAAE,EAAE,IAAIuZ,GAAGtZ,EAAE,EAAE,CAAC,EAAE,IAAIC,CAAC,EAAEX,EAAE,IAAIga,GAAGvZ,EAAE,IAAItC,CAAC,EAAE,EAAE,CAAC,EAAE,IAAIuC,CAAC,EAAEzC,CAAC,CAAC,CAAC,SAASgb,GAAGlb,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEub,GAAG,WAAW,GAAG,EAAE,EAAE,GAAG,GAAG,GAAG,OAAO,GAAG,GAAGY,GAAGrc,EAAE,CAAC,EAAEsc,GAAGtc,EAAE,CAAC,EAAE,GAAG,GAAG,GAAG,OAAOuc,GAAGvc,EAAE,CAAC,EAAE,IAAII,EAAEF,EAAEG,EAAEH,EAAE,IAAIyb,EAAE,EAAE,IAAI,GAAG,EAAE,EAAEE,GAAGxb,EAAE,IAAIub,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAE,CAACH,GAAG,MAAMA,GAAG,KAAK,EAAE1Z,EAAE,CAAC0Z,GAAG,MAAMA,GAAG,KAAK,EAAErb,EAAEA,EAAE,IAAIwb,EAAE,EAAE,IAAIG,GAAG/b,EAAE,CAAC,CAAC,EAAE,IAAIgC,EAAE,EAAEC,GAAG,EAAE,GAAG,GAAG,GAAGS,EAAET,GAAG,EAAE,EAAE,IAAI,GAAG,GAAG7B,EAAE6b,GAAG7b,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAI2Z,EAAE,EAAEtb,EAAE4b,GAAG5b,EAAE,IAAI,EAAE,EAAE,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI2Z,EAAE,EAAEvb,EAAEA,EAAE,IAAI2B,EAAE,EAAE,EAAE1B,EAAEA,EAAE,IAAI,EAAE,EAAE,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAEia,GAAG,EAAE,IAAIla,EAAE,EAAE,EAAE,EAAE,EAAE,IAAI4Z,EAAE,EAAE,EAAES,GAAGpc,EAAEgC,EAAE,EAAE,GAAG,IAAI2Z,EAAE,EAAEvb,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEqa,GAAGpc,EAAEgC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE4B,GAAG,SAASA,IAAIC,GAAG,IAAIU,EAAEgZ,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC,EAAE,OAAO3Z,EAAEU,EAAEX,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE3B,EAAE6b,GAAG7b,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEtC,EAAE4b,GAAG5b,EAAE,IAAI,EAAE,EAAE,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEvC,EAAEA,EAAE,IAAI2B,EAAE,GAAG,IAAI,CAAC,CAAC,EAAE1B,EAAEA,EAAE,IAAI,EAAE,GAAG,IAAI,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAEia,GAAG,EAAE,IAAIla,EAAE,EAAE,EAAE,EAAE,EAAE,IAAIY,CAAC,EAAE,EAAEyZ,GAAGpc,EAAEgC,EAAE,EAAE,GAAG,IAAIW,CAAC,EAAEvC,EAAE,IAAI2B,EAAE,EAAE,CAAC,EAAEA,EAAEqa,GAAGpc,EAAEgC,EAAE,GAAG,EAAE,IAAID,EAAE,EAAE,EAAE1B,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE8b,GAAGA,GAAG,EAAE,GAAGna,EAAE,GAAGY,CAAC,EAAE,IAAIkZ,GAAGxb,CAAC,EAAE,IAAIqb,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEQ,GAAG,EAAE,GAAGna,EAAE,GAAGY,CAAC,EAAE,IAAIvC,CAAC,EAAEuC,CAAC,CAAC,CAAC,SAASmY,GAAG9a,EAAE,EAAE,CAAC,OAAO,IAAI,SAASgb,GAAGhb,CAAC,EAAEub,GAAG,CAACvb,CAAC,EAAE,CAAC,CAAC,CAAC,SAASwc,GAAGxc,EAAE,EAAE,CAAC,OAAOA,aAAa,cAAc,IAAI,WAAWA,aAAa,YAAY,IAAI,SAASA,aAAa,YAAY,IAAI,MAAM,CAAC,SAASub,GAAGvb,EAAE,EAAE,CAAC,GAAG,IAAI,SAAS,MAAM,IAAI,MAAM,2CAA2C,EAAE,GAAG,MAAM,QAAQA,CAAC,IAAIA,EAAEmb,GAAGnb,CAAC,GAAGpO,EAAE,EAAE,QAAQ,OAAO,GAAG8mB,GAAG1Y,EAAE,CAAC,EAAEwc,GAAGxc,EAAE,CAAC,EAAE,OAAOA,EAAE,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,KAAK,MAAMJ,EAAEI,EAAE,IAAI,IAAIF,EAAEE,GAAG,GAAG,OAAOF,CAAC,KAAM,OAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASob,IAAI,CAAC,OAAO1pB,EAAE,EAAE,SAAS,IAAI,CAAC,CAAC,SAASqpB,GAAGjb,EAAE,EAAE,CAAC,OAAOpO,EAAE,EAAE,SAAS,MAAMoO,EAAE,CAAC,CAAC,CAAC,SAASgb,GAAGhb,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQpO,EAAE,EAAE,SAAS,OAAOoO,EAAE,CAAC,CAAC,CAAC,SAAS+a,GAAG/a,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQpO,EAAE,EAAE,SAAS,OAAOoO,EAAE,CAAC,CAAC,CAAC,SAASqb,GAAGrb,EAAE,CAAC,OAAOpO,EAAE,EAAE,SAAS,aAAaoO,CAAC,CAAC,CAAC,SAASmb,GAAGnb,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOF,GAAG,WAAW,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU+Z,GAAG/Z,CAAC,GAAGA,GAAG,MAAMqb,GAAGrb,CAAC,GAAGE,EAAE,EAAE,KAAKF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAGqb,GAAGrb,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE+a,GAAGnb,EAAEI,GAAG,EAAEF,CAAC,MAAM,CAAC,IAAIE,EAAE,GAAG,QAAQC,KAAK,OAAO,KAAKL,CAAC,EAAE,qBAAqB,KAAKK,CAAC,IAAID,EAAE,KAAK,IAAIA,EAAE,OAAOC,CAAC,CAAC,GAAG,QAAQA,EAAE,EAAEA,GAAGD,EAAEC,IAAI8a,GAAGnb,EAAEK,GAAG,EAAEH,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIuc,GAAG,KAAK,CAAC,YAAY7b,EAAEV,EAAE,CAAC,KAAK,aAAaU,EAAE,KAAK,OAAOV,EAAEA,GAAG,OAAO,KAAK,OAAO,IAAIwc,GAAG,CAAC,cAAc9b,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEwB,EAAE,IAAI,CAACxB,EAAE,EAAE,CAAC,EAAEyB,EAAEC,EAAEuZ,GAAG,EAAE,GAAG,KAAK,aAAa,eAAe,EAAExZ,EAAE,KAAK,aAAa,KAAKD,CAAC,MAAM,CAACA,EAAE,EAAE,QAAQI,KAAK5B,EAAE4B,EAAE,SAAS,EAAEH,EAAE,QAAQ,QAAQ,CAAC,SAASwZ,GAAG,EAAEvZ,CAAC,CAAC,CAAC,CAAC,GAAGnQ,EAAE,EAAE,QAAQ,8BAA8B,EAAE,QAAQqQ,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIS,EAAErC,EAAE4B,GAAGS,EAAE,KAAK,EAAE,KAAKC,GAAG,CAACga,GAAGha,EAAED,EAAE,MAAM9B,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,WAAWA,EAAE,QAAQP,EAAE,OAAOH,EAAE,OAAO4B,EAAE,KAAKG,GAAGA,EAAE,QAAQ,EAAE,UAAUH,EAAE,KAAKG,GAAGA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,EAAE,EAAE,CAAC,CAAC,CAAC,iBAAiBrB,EAAE,CAAC,GAAG,CAAC,WAAWV,EAAE,QAAQ,EAAE,OAAOG,EAAE,OAAOwB,EAAE,UAAUC,CAAC,EAAElB,EAAE,EAAE,QAAQmB,GAAG,CAAC,QAAQ,IAAI,CAACA,EAAE,KAAK,EAAE1B,EAAEyB,CAAC,CAAC,EAAE,KAAKE,GAAG,CAAC,KAAK,OAAO,iBAAiB9B,EAAE6B,EAAEC,EAAE,GAAGA,EAAE,GAAGH,EAAEG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2a,GAAG3c,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,UAAU,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAEL,EAAEI,GAAG,GAAG,MAAMC,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,OAAO,QAAQ,KAAK,SAASA,uBAAuBH,IAAI,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIwc,GAAG,KAAK,CAAC,iBAAiB9b,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,OAAO1B,GAAG,SAAS8X,GAAG,GAAG9X,MAAM,CAAC,EAAEA,EAAE,MAAM2B,EAAEmW,GAAGvX,EAAE,EAAE,EAAE,EAAEV,EAAE,KAAKwC,EAAExC,EAAE,KAAK,EAAEiY,GAAGjY,EAAE,MAAM,SAAS,EAAE,EAAE,EAAE0C,EAAE,GAAG,QAAQC,KAAKhB,EAAE,CAAC,IAAIiB,EAAEjB,EAAEgB,GAAG,GAAGC,GAAG,KAAK,CAAC,IAAIkB,EAAElB,EAAE,OAAO5C,EAAE,MAAM+D,EAAED,EAAE,OAAOpB,GAAG,GAAGC,MAAMoB,MAAMA,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,QAAQ,IAAI,KAAKhC,OAAOD,OAAO,MAAM,OAAOW,OAAOE,OAAOd,IAAI,mBAAmB,YAAY,aAAa,gBAAgB,eAAe,kBAAkB,CAAC,CAAC,EAAE,SAAS8a,GAAG5c,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI5B,EAAE,EAAE4B,GAAG,IAAI,GAAG,QAAQA,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAGU,EAAET,EAAE,OAAO,QAAQU,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,GAAGE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG1C,EAAEwC,EAAE,IAAI,CAACX,EAAE,QAAQ,QAAQ+B,GAAG5D,EAAE4D,EAAE,IAAI,EAAE,EAAEnB,EAAE,GAAGxC,EAAE4B,EAAE,IAAI,GAAG,KAAK,CAAC,GAAGY,EAAE,KAAK,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE3C,EAAE,IAAI,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQ8B,EAAEhC,EAAE,OAAO,EAAEgC,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAGU,EAAET,EAAE,OAAO,QAAQU,EAAE,EAAEA,EAAEV,EAAE,QAAQ,OAAOU,IAAI,GAAG,EAAEV,EAAE,QAAQU,GAAG,IAAI,CAAC,QAAQC,KAAKF,EAAE,EAAEA,EAAEE,GAAG,IAAI,GAAG,EAAEX,EAAE,IAAI,GAAG,KAAK,CAAC,CAAC,IAAIF,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAG,GAAG3B,EAAE4B,EAAE,KAAK,EAAEA,EAAE,IAAI,CAAC,IAAIS,EAAE,CAAC,EAAE,QAAQE,KAAKX,EAAE,OAAO,CAAC,IAAIY,EAAEZ,EAAE,OAAOW,GAAGxC,EAAEyC,EAAE,MAAMH,EAAEE,GAAGC,EAAE,CAAC,IAAIF,EAAE,OAAO,OAAO,CAAC,EAAEV,CAAC,EAAEU,EAAE,OAAOD,EAAEC,EAAE,QAAQV,EAAE,QAAQF,EAAE,KAAKY,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS8a,GAAG7c,EAAE,EAAEE,EAAEE,EAAE,CAAC,QAAQC,EAAE,EAAE,OAAO,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAEA,GAAG,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,QAAQ2B,GAAG,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,IAAIC,GAAG,KAAK,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,EAAE,EAAE,UAAU,KAAK,MAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa,EAAE,IAAIF,EAAE,EAAE,SAAS,CAAC,EAAE,QAAQC,KAAK,EAAE,OAAO,CAAC,GAAG,EAAEA,KAAKD,GAAG,MAAM,IAAI,MAAM,iCAAiCC,iCAAiC,OAAO,KAAKD,CAAC,IAAI,EAAE,IAAIE,EAAE/B,EAAE,IAAI6B,EAAEC,GAAG,CAAC,EAAE,GAAGC,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqCD,yCAAyCC,EAAE,QAAQ,EAAE,IAAIS,EAAE,EAAE,OAAOV,GAAG,GAAG,CAAC2V,GAAG1V,EAAE,MAAMS,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsCV,iBAAiBC,EAAE,wDAAwDS,EAAE,QAAQ,EAAE,GAAG1C,EAAE0C,EAAE,KAAK,KAAK1C,EAAE0C,EAAE,IAAIT,MAAM,CAAC,IAAIU,EAAE3C,EAAE0C,EAAE,IAAI1C,EAAE0C,EAAE,IAAItC,EAAEuC,EAAEV,CAAC,EAAEU,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIma,GAAG,GAAGC,GAAG,EAAEC,GAAG,EAAE,SAASC,GAAGjd,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEgZ,GAAG,CAAC,EAAE,EAAE6D,GAAGld,EAAE,EAAEE,EAAEG,CAAC,EAAE,EAAE,EAAE,OAAO0B,EAAEob,GAAGnd,EAAE,EAAEE,EAAEG,EAAE,CAAC,EAAE2B,EAAE,CAAC,QAAQ,EAAE,OAAO5B,IAAI4B,EAAE,KAAK,YAAY9B,GAAG,EAAE8B,EAAE,KAAK,WAAW,GAAG,EAAEA,EAAE,KAAK,aAAa,IAAI,EAAEA,EAAE,KAAK,WAAW,GAAGA,EAAE,KAAKD,EAAE,IAAIE,GAAG,OAAOA,CAAC,EAAE,KAAK;AAAA,CACz11C,CAAC,EAAED,EAAE,KAAK;AAAA,CACV,CAAC,CAAC,SAASkb,GAAGld,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEwX,GAAG,CAAC,EAAE,EAAEzX,EAAEA,EAAE,OAAO,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAE9B,IAAI,YAAYkd,GAAGpd,CAAC,EAAEA,EAAE,GAAG+B,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAEA,IAAI,EAAEA,GAAG,KAAK,IAAI,EAAEA,GAAG0a,GAAGrb,EAAEU,EAAEC,GAAG,EAAEzC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,SAASmd,GAAGrd,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,OAAO,MAAM,QAAQJ,CAAC,EAAEI,EAAE,GAAG,WAAWJ,EAAE,GAAG,QAAQgd,EAAE,CAAC,OAAO,WAAWhd,EAAE,GAAG,QAAQgd,EAAE,CAAC,KAAKjE,GAAG/Y,CAAC,EAAEI,EAAE,IAAIJ,KAAKE,IAAI,OAAOE,EAAEkd,GAAGtd,CAAC,EAAEI,EAAE,WAAWJ,EAAE,QAAQgd,EAAE,CAAC,EAAE,SAAS,EAAE7E,GAAG/X,EAAE,CAAC,CAAC,CAAC,SAASkd,GAAGtd,EAAE,CAAC,OAAOA,IAAI,EAAE,QAAQ,MAAM,CAAC,SAASmd,GAAGnd,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEH,IAAI,YAAY,EAAE,EAAE6B,EAAE,EAAE,GAAGC,EAAE,EAAE,OAAO,GAAGA,IAAI,EAAE,CAAC,GAAG9B,IAAI,YAAY,CAAC,IAAI8D,EAAEoZ,GAAGpd,CAAC,EAAE,MAAM,CAACqd,GAAGrZ,EAAE,GAAG,EAAE9D,CAAC,CAAC,CAAC,CAAC,OAAOA,IAAI,OAAO,CAACod,GAAGtd,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,GAAG,SAAS,CAAC,CAAC,CAAC,GAAGgC,IAAI,EAAE,CAAC,GAAGD,EAAE+a,GAAG,CAAC,IAAI7Y,EAAE8Y,GAAG,EAAEzV,EAAE,MAAM,KAAKtH,EAAE,MAAM,EAAEiE,CAAC,CAAC,EAAEa,EAAE,MAAM,KAAK9E,EAAE,OAAO+B,EAAEgb,IAAI,EAAEhb,EAAE,CAAC,CAAC,EAAE,OAAO7B,IAAI,cAAcoH,EAAE8V,GAAG9V,CAAC,EAAExC,EAAEsY,GAAGtY,CAAC,GAAG,CAAC,IAAIwC,EAAE,IAAI,CAAC7C,EAAEC,IAAI2Y,GAAG5Y,EAAEpE,EAAEqE,GAAGxE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,UAAU4E,EAAE,IAAI,CAACL,EAAEC,IAAI2Y,GAAG5Y,EAAEpE,EAAE0B,EAAEgb,GAAGrY,GAAGxE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,MAAM,CAAC,KAAKA,IAAI,YAAYkd,GAAGpd,CAAC,EAAE,MAAM,KAAKA,CAAC,GAAG,IAAI,CAACiE,EAAEqD,IAAI+V,GAAGpZ,EAAE5D,EAAEiH,GAAGpH,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAI+B,EAAE,EAAE,MAAM,CAAC,EAAES,EAAEtC,EAAE,MAAM,CAAC,EAAEuC,EAAEvC,EAAE,GAAG,EAAEwC,EAAE,CAAC,EAAE,GAAGb,EAAE+a,GAAG,CAAC,QAAQ9Y,EAAE,EAAEA,EAAE+Y,GAAG/Y,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE,EAAE,CAAC,CAAC,CAACuC,EAAE,KAAK,KAAK,EAAE,QAAQoB,EAAEjC,EAAEgb,GAAG/Y,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAM,SAAQiC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIc,EAAEb,IAAI,EAAE,IAAI,GAAGY,EAAE,GAAG,KAAKb,EAAE,EAAEa,EAAE,GAAGC,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,IAAIpB,EAAEoB,GAAG,IAAIpB,EAAEoB,GAAGnB,EAAE,IAAIC,EAAE;AAAA,EACz2C,QAAQkB,EAAE,EAAEA,EAAEhC,EAAEgC,IAAIlB,GAAG;AAAA,EACvB,OAAOF,EAAEA,EAAE,OAAO,GAAG,IAAIA,EAAEA,EAAE,OAAO,GAAG,KAAK,EAAE,GAAGE,GAAGF,CAAC,CAAC,SAASwa,GAAGpd,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAE,EAAE,KAAK,CAACF,EAAEE,GAAGF,EAAEE,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,IAAI/T,GAAG,KAAK,CAAC,YAAYyU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,KAAK,MAAMU,EAAE,MAAM,EAAE,KAAK,KAAKiX,GAAGjX,CAAC,EAAE,GAAG,KAAK,CAAC,IAAIP,EAAE,EAAE,OAAOoX,EAAEpX,IAAI,KAAK,KAAK,IAAI,qBAAqBA,qDAAqD,KAAK,QAAQ,CAAC,CAAC,GAAGH,IAAI,YAAY,MAAM,IAAI,MAAM,4JAA4J,EAAE,KAAK,OAAO,GAAGuY,GAAGvY,EAAE,KAAK,IAAI,EAAE,KAAK,QAAQmZ,GAAGzY,CAAC,CAAC,CAAC,IAAIA,KAAKV,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAGuX,EAAEvX,EAAE,SAAS,KAAK,KAAK,IAAI,uCAAuCA,EAAE,gCAAgC,KAAK,OAAO,EAAE,IAAI,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,OAAO,GAAGU,CAAC,CAAC,OAAOA,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG,IAAIV,EAAE,EAAE,QAAQG,KAAKO,EAAE,CAAC,GAAGP,EAAE,GAAGA,GAAG,KAAK,MAAMH,GAAG,CAAC,IAAI2B,EAAE,qCAAqCjB,qBAAqB,KAAK,QAAQ,MAAM,IAAI,MAAMiB,CAAC,CAAC,CAAC3B,GAAG,CAAC,IAAI,EAAEU,EAAEA,EAAE,OAAO,GAAG,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAE,EAAEP,EAAE,GAAG,KAAK,QAAQA,GAAGO,EAAEP,GAAG,OAAO,KAAK,OAAO,EAAE,CAAC,WAAWO,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAO,GAAE,GAAG,KAAK,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIV,EAAEU,EAAEA,EAAE,OAAO,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEV,GAAG,KAAK,QAAQ,GAAGU,EAAE,GAAG,OAAOV,CAAC,CAAC,WAAWU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,CAACA,CAAC,EAAE,IAAIV,EAAE,IAAI,MAAM,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEA,EAAE,GAAG,KAAK,MAAMU,EAAE,KAAK,QAAQ,EAAE,EAAEA,GAAGV,EAAE,GAAG,KAAK,QAAQ,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAGU,EAAEV,CAAC,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,UAAU,CAAC,OAAOqd,GAAG,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEA,GAAG,KAAKC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG1d,EAAE,CAACud,GAAGvd,CAAC,CAAC,SAAS2d,GAAG3d,EAAE,CAACwd,GAAGxd,CAAC,CAAC,SAAS4d,GAAG5d,EAAE,CAACyd,GAAGzd,CAAC,CAAC,IAAI9T,GAAG,KAAK,CAAC,YAAY0U,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,KAAK,GAAG,KAAK,mBAAmB,GAAG,KAAK,MAAMO,EAAE,MAAM,EAAE,KAAK,MAAMV,GAAG,UAAU,KAAK,KAAK2X,GAAGjX,CAAC,EAAE,KAAK,QAAQyY,GAAGzY,CAAC,EAAE,KAAK,OAAO,EAAE,KAAK,GAAGP,EAAE,KAAK,SAAS,KAAK,KAAK,EAAE,KAAK,KAAK,SAAS,EAAE,QAAQ,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,MAAM,QAAQ,CAAC,IAAIO,EAAE,MAAM,KAAK,KAAK,EAAE,OAAO4c,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM5c,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO4c,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM,KAAK,SAAS,CAAC,CAAC,CAAC,MAAM,OAAO,CAAC,IAAI5c,EAAE,MAAM,KAAK,KAAK,EAAE,OAAO2Y,GAAG,KAAK,MAAM3Y,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,WAAW,CAAC,OAAO2Y,GAAG,KAAK,MAAM,KAAK,SAAS,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,MAAM,MAAM,CAAC,KAAK,gBAAgB,EAAE,IAAI3Y,EAAE2c,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,CAAC,IAAIrd,EAAE,MAAMU,EAAE,GAAG,CAAC,OAAOV,EAAE,IAAI,GAAG6a,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,CAAC,OAAOna,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2c,GAAG,EAAE,UAAU,KAAK,OAAO3c,CAAC,CAAC,CAAC,UAAU,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE2c,GAAG,EAAE,SAAS,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,GAAG,CAAC,OAAO3c,EAAE,IAAIV,GAAG6a,GAAG7a,CAAC,CAAC,CAAC,OAAOA,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,OAAOU,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE,MAAM2c,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,OAAO,KAAK,QAAQ,SAAS3c,EAAE,IAAI,WAAWA,EAAE,MAAM,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa2c,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,mBAAmB,GAAG,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,kBAAkB,CAAC,iBAAiB,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,qBAAqB,CAAC,CAAC,MAAM3c,EAAE,GAAG,CAAC,OAAO4c,GAAG,MAAM,KAAK5c,CAAC,CAAC,CAAC,OAAO,CAAC,OAAO,KAAK,gBAAgB,EAAE4c,GAAG,MAAM,IAAI,CAAC,CAAC,SAAS5c,EAAE,GAAG,CAAC,IAAIV,EAAE,KAAK,SAAS,EAAE,OAAO+c,GAAG/c,EAAE,KAAK,MAAM,KAAK,MAAMU,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4c,GAAG,KAAK,KAAK5c,CAAC,CAAC,CAAC,SAASA,EAAE,GAAGV,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqd,GAAG,EAAE,aAAa,KAAK3c,EAAEV,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO,eAAehU,GAAG,OAAO,YAAY,CAAC,MAAM8T,GAAG,CAAC,CAACA,GAAGA,EAAE,MAAM,MAAMA,EAAE,UAAU,MAAMA,EAAE,iBAAiB,IAAI,CAAC,EAAE,SAAS6d,GAAG,CAAC,OAAOrD,GAAG,SAAS,IAAItuB,EAAE,CAAC,CAAC2xB,EAAE,EAAE,IAAIjxB,GAAG,cAAcV,EAAE,CAAC,YAAY0U,EAAEV,EAAE,EAAEG,EAAE,CAAC,MAAMO,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAOP,CAAC,EAAE,KAAK,UAAUH,EAAE,KAAK,KAAK,CAAC,CAAC,OAAOU,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE,GAAG,CAAC+W,GAAG/W,EAAE,MAAM,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE2c,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,OAAO3c,EAAE,OAAO2c,GAAG,EAAE,OAAO,KAAK,IAAI,CAAC,CAAC,SAAS,CAACA,GAAG,EAAE,gBAAgB,IAAI,EAAE,KAAK,mBAAmB,EAAE,CAAC,EAAE,OAAO,eAAe3wB,GAAG,OAAO,YAAY,CAAC,MAAMoT,GAAGA,aAAa9T,IAAI8T,EAAE,QAAQ,MAAMA,EAAE,kBAAkB,QAAQ,CAAC,EAAE,IAAIxC,GAAG,CAAC,EAAEyC,GAAGzC,GAAG,CAAC,iBAAiB,IAAIsgB,GAAG,sBAAsB,IAAIC,GAAG,eAAe,IAAIC,GAAG,eAAe,IAAIC,EAAE,CAAC,EAAE,IAAIh1B,IAAI,SAAS+W,EAAE,CAACA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI,GAAG/W,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIi1B,IAAI,SAASle,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,QAAQA,EAAE,UAAU,WAAW,GAAGke,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASne,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,OAAOA,EAAE,UAAU,WAAW,GAAGme,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASpe,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,UAAUA,EAAE,KAAK,UAAUA,EAAE,UAAU,WAAW,GAAGoe,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASre,EAAE,CAACA,EAAE,QAAQ,YAAYA,EAAE,MAAM,YAAYA,EAAE,KAAK,YAAYA,EAAE,UAAU,WAAW,GAAGqe,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQF,GAAG,MAAMF,GAAG,KAAKC,GAAG,UAAUE,EAAE,EAAE,SAAS/f,GAAG0B,EAAE,EAAE,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,MAAM,SAAS,MAAM,IAAI,MAAM,kBAAkBA,UAAU,GAAG,CAAC,CAAC,OAAOse,GAAGte,GAAG,EAAE,CAAC,SAASlD,GAAGkD,EAAE,CAAC,OAAO1B,GAAG0B,EAAE,OAAO,CAAC,CAAC,SAASie,GAAGje,EAAE,EAAE,CAAC,GAAGA,EAAE,QAAQ,EAAE,MAAM,MAAM,CAACA,EAAE,CAAC,EAAE,IAAIE,EAAE5B,GAAG0B,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACA,EAAE,KAAKE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,SAAS4d,GAAG9d,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,EAAE,MAAM,IAAI,2BAA2BA,EAAE,qBAAqB,EAAE,yBAAyB,CAAC,CAAC,SAASge,GAAGhe,EAAE,EAAE,CAAC,OAAO,EAAE,KAAKE,GAAGA,EAAE,KAAKF,EAAE,EAAE,CAAC,CAAC,SAAS+d,GAAG/d,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOue,GAAGve,EAAE,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,SAASue,GAAGve,EAAE,EAAEE,EAAE,CAAC,GAAGF,GAAG,KAAK,OAAO,GAAGA,aAAa9T,GAAG,CAAC,EAAE,KAAK8T,CAAC,EAAE,MAAM,CAAC,GAAG,CAACwe,GAAGxe,CAAC,EAAE,OAAO,IAAII,EAAEJ,EAAE,QAAQK,KAAKD,EAAE,CAAC,IAAI,EAAEA,EAAEC,GAAGH,EAAE,IAAI,CAAC,IAAIA,EAAE,IAAI,CAAC,EAAEqe,GAAG,EAAE,EAAEre,CAAC,EAAE,CAAC,CAAC,SAASse,GAAGxe,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,QAAQ,CAAC,SAASye,GAAGze,EAAE,CAAC,OAAOA,EAAE,YAAY,IAAI,CAAC,IAAI0e,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,oBAAoB,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,SAAS,EAAE,KAAK,WAAW,EAAE,KAAK,iBAAiB,EAAE,KAAK,eAAe,EAAE,KAAK,cAAc,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,IAAI,QAAQ,KAAK,UAAU,GAAG,KAAK,cAAc,CAAC,SAAS,EAAE,WAAW,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,IAAI,aAAa,CAAC,OAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAI9d,GAAGA,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,GAAG,QAAQ,CAAC,CAAC,EAAE+d,GAAG,KAAK,CAAC,YAAY/d,EAAE,CAAC,KAAK,IAAIA,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,qBAAqB,EAAE,KAAK,MAAM,IAAI8d,EAAE,CAAC,MAAM,OAAO,CAAC,GAAG,KAAK,oBAAoB,KAAK,OAAO,KAAK,mBAAmB,KAAK,IAAI,CAAC,CAAC,EAAE,GAAG,KAAK,iBAAiB,KAAK,OAAO,IAAI9d,EAAE,KAAK,kBAAkB,EAAE,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,GAAG,GAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,QAAQ,CAAC,MAAM,KAAK,WAAW,CAAC,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,IAAI,SAAS,CAAC,GAAG,KAAK,oBAAoB,KAAK,MAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI,EAAE,GAAG,KAAK,iBAAiB,KAAK,CAAC,GAAG,CAAC,KAAKU,EAAE,UAAUV,CAAC,EAAE,KAAK,gCAAgC,EAAE,GAAGA,EAAE,MAAM,IAAI,MAAM,iCAAiCU,sHAAsH,EAAE,KAAK,WAAWA,CAAC,CAAC,CAAC,OAAO,KAAK,eAAe,CAAC,cAAc,CAAC,OAAO,OAAO,KAAK,KAAK,eAAe,CAAC,CAAC,YAAYA,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,UAAU,GAAGA,KAAK,KAAK,gBAAgB,CAAC,GAAG,CAAC,UAAUV,CAAC,EAAE,KAAK,kBAAkBU,CAAC,EAAE,GAAGV,EAAE,OAAO,IAAI,KAAM,QAAO,KAAK,OAAO,KAAK,SAASU,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,KAAK,KAAK,gBAAgB,KAAK,gBAAgBA,GAAG,QAAQ,IAAI,CAAC,gBAAgBA,EAAEV,EAAE,EAAE,EAAE,CAAC,OAAOU,KAAK,KAAK,iBAAiB6Z,GAAG,GAAG7Z,qEAAqE,EAAE,KAAK,KAAK,gBAAgBA,GAAG,CAAC,QAAQV,EAAE,SAAS,CAAC,EAAE,GAAG,CAAC,MAAM,WAAWU,EAAE,CAAC,GAAG,KAAK,gBAAgBA,IAAI,KAAK,MAAM,IAAI,MAAM,iBAAiBA,0BAA0B,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAASA,IAAI,KAAK,CAAC,KAAK,gBAAgB,KAAK,GAAG,CAAC,QAAQV,EAAE,UAAU,CAAC,EAAE,KAAK,kBAAkBU,CAAC,EAAE,GAAG,EAAE,EAAE,MAAMV,EAAEA,GAAG,MAAM,EAAE,CAAC,OAAO,KAAK,gBAAgB,KAAK,SAASU,GAAG,KAAK,uBAAuB,EAAE,KAAK,SAAS,IAAI6b,GAAG,KAAK,eAAe,EAAE,EAAE,CAAC,wBAAwB,CAACvpB,GAAG,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,EAAE,WAAW,MAAM,EAAE,UAAU,KAAK,eAAe,CAAC,CAAC,CAAC,CAAC,yBAAyB0N,EAAE,CAAC1N,GAAG0N,CAAC,EAAE,QAAQR,GAAG,CAACA,EAAE,aAAa,MAAMA,EAAE,YAAY,KAAK,SAASQ,EAAE,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAE,CAAC,IAAIV,EAAE,KAAK,gBAAgBU,GAAG,GAAGV,GAAG,KAAK,MAAM,IAAI,MAAM,6BAA6BU,2BAA2B,EAAE,GAAG,CAAC,IAAI,EAAEV,EAAE,QAAQ,EAAE,GAAG,GAAG,EAAE,aAAaxa,KAAK,OAAO,EAAE,MAAM,WAAW,CAAC,IAAI2a,EAAE,EAAE,KAAK,qBAAqBwB,EAAE,EAAE,KAAKC,GAAGzB,EAAE,KAAK,qBAAqB,IAAI,KAAK,SAASO,GAAGkB,EAAE,KAAK,mBAAmB,KAAK,GAAG,EAAE,MAAMA,IAAIzB,EAAE,KAAK,uBAAuB,KAAK,mBAAmB,KAAKoa,GAAG,6BAA6B7Z,UAAU,EAAE6Z,GAAG3Y,EAAE,OAAOA,EAAE,OAAO,GAAG,GAAG,EAAE,OAAO,KAAK,mBAAmBD,EAAE,CAAC,QAAQA,EAAE,UAAU,EAAE,CAAC,KAAM,QAAO,KAAK,SAASjB,GAAG,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,OAAO,EAAN,CAAS,OAAO6Z,GAAG,6BAA6B7Z,UAAU,EAAE6Z,GAAG,EAAE,OAAO,EAAE,OAAO,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,CAAC,CAAC,cAAc7Z,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,iBAAiB,MAAM,IAAI,MAAM,GAAGA,iCAAiC,EAAE,KAAK,cAAcA,GAAG,KAAK,oBAAoB,MAAM,KAAK,uBAAuBA,KAAK,KAAK,WAAW,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,IAAI,OAAO,KAAK,gBAAgBA,GAAG,KAAK,cAAcA,IAAI,KAAK,mBAAmB,KAAK,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,CAAC,mBAAmB,CAAC,GAAG,OAAO,KAAK,KAAK,eAAe,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAACA,EAAEV,IAAI,KAAK,gBAAgBA,GAAG,SAAS,KAAK,gBAAgBU,GAAG,QAAQ,CAAC,CAAC,iCAAiC,CAAC,IAAIA,EAAE,KAAK,kBAAkB,EAAE,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,GAAG,CAAC,QAAQG,EAAE,UAAUwB,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,GAAGA,GAAGxB,EAAE,MAAM,CAAC,KAAK,EAAE,UAAUwB,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,SAASjB,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAEG,EAAE,EAAE,QAAQwB,EAAE,KAAK,SAAS3B,CAAC,EAAE4B,EAAEzB,EAAE,SAASH,CAAC,EAAEG,EAAE,YAAYH,EAAE,EAAE,EAAE,EAAE,QAAQU,EAAEA,EAAE,KAAKV,EAAE2B,EAAE,EAAE,MAAM,EAAE,MAAMC,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,IAAI,CAAC,KAAKlB,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAOU,GAAG,WAAW,MAAM,IAAI,MAAM,qCAAqC,EAAEV,EAAEU,CAAC,KAAK,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa,QAAQ,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,OAAOV,GAAG,WAAW,MAAM,IAAI,MAAM,gFAAgF,EAAE,EAAEU,CAAC,CAAC,IAAIP,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,IAAI,KAAK,SAASA,CAAC,EAAE,KAAKA,EAAEH,EAAE,EAAEG,aAAa,SAAS,QAAQ,MAAM,yCAAyC,EAAEA,EAAE,CAAC,CAAC,UAAUO,EAAEV,EAAE,EAAE,CAACU,EAAE,EAAE,GAAG,CAAC,IAAIP,EAAE,EAAE,EAAE,OAAOH,EAAE,EAAEG,CAAC,OAAOA,EAAN,CAAS,MAAMH,EAAE,EAAEG,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOse,GAAG,cAAc,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,MAAM/d,EAAE,CAAC,IAAIV,EAAE0e,EAAE,UAAUx5B,GAAG,CAAC,EAAEwb,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAEP,EAAEyB,IAAI,CAAC,EAAE,IAAI,CAAC,IAAIC,EAAE,UAAUC,EAAE,CAAC,EAAEF,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAE,OAAO6c,EAAE,UAAUh9B,GAAGogB,EAAE,CAAC,CAAC,CAAC,GAAGH,EAAE,CAAC,EAAE,OAAO,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,EAAE,CAAC3B,CAAC,EAAEG,EAAEwB,EAAE,CAAC,CAAC,EAAE3B,CAAC,CAAC,UAAUU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,MAAM,KAAK,QAAUjN,GAAG2N,EAAE,KAAK,WAAW,GAAG,KAAM,MAAM,IAAI,MAAM,WAAWA,kCAAkC,KAAK,cAAc,EAAE,OAAO,KAAK,cAAc,CAAC,WAAWA,EAAE,OAAOV,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,IAAI,QAAQ,SAAS,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,KAAK,QAAQ,WAAW,EAAEwB,EAAE,EAAE,EAAE,QAAQG,GAAG,CAACH,GAAGG,EAAE,QAAQ,YAAY,EAAE,CAAC,CAAC,EAAE,IAAIF,EAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,GAAGC,EAAE1B,EAAEH,EAAE2B,EAAEC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,YAAY,KAAK,6CAA6CA,8BAA8BnB,IAAI,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIV,EAAE,EAAE,CAAC,EAAEG,EAAE,KAAK,SAAS,EAAEwB,EAAE,KAAK,MAAM,SAASC,EAAE,KAAK,MAAM,WAAW,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC,EAAE,IAAIC,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIC,EAAE,EAAEyc,GAAG7d,CAAC,EAAEA,EAAE,WAAW,KAAK,MAAM,aAAa,KAAK,KAAK,MAAM,YAAY,KAAK,GAAG,GAAG6d,GAAG7d,CAAC,EAAE,CAAC,GAAG,CAAC,WAAWkC,EAAE,OAAOkB,EAAE,MAAMC,CAAC,EAAErD,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAI0G,EAAErU,GAAG6P,EAAE,KAAK,WAAW,EAAE2U,EAAEnQ,GAAG,KAAK,IAAI,kCAAkCxE,mBAAmB,KAAK,cAAc,EAAEf,EAAE,IAAI,CAAC,IAAI+C,EAAE,KAAK,QAAQ,WAAW,EAAE9C,EAAEsF,EAAE,WAAW,CAAC,OAAOtD,EAAE,MAAMC,EAAE,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAIQ,EAAE,MAAM,QAAQzC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,sBAAsBc,EAAEgC,EAAEL,CAAC,EAAE,IAAIC,EAAED,EAAE,IAAIE,GAAGA,EAAE,MAAM,KAAKA,EAAE,KAAK,yBAAyBA,CAAC,CAAC,EAAE,GAAGtE,EAAE,CAAC,IAAIsE,EAAE,KAAK,sBAAsB7B,EAAEkB,EAAEU,CAAC,EAAE,EAAE,KAAK,2BAA2BC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,YAAY5B,CAAC,EAAElC,EAAEoD,EAAEC,GAAG,CAAC,CAAC5D,IAAI,EAAE4D,EAAE,IAAIqD,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE,EAAEvF,EAAE,IAAI,CAAC,IAAIkC,EAAE,KAAK,QAAQ,WAAW,EAAEjC,EAAE,KAAK,KAAK,IAAIc,EAAE,KAAK,QAAQkB,CAAC,CAAC,EAAE,IAAIsD,EAAE,MAAM,QAAQtF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,OAAO,KAAK,uBAAuB,GAAG,KAAK,sBAAsB,EAAEiC,EAAEqD,CAAC,EAAEA,CAAC,CAAC,CAAC,GAAG,CAAC,OAAO5E,EAAE,MAAM,CAAC,EAAE9B,EAAEgC,EAAE6b,GAAG7d,CAAC,EAAE,KAAKA,EAAE,cAAciC,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,MAAM,cAAc,IAAI,KAAK,MAAM,cAAc,IAAI,CAAC,CAAC,KAAK,IAAI,QAAQ,OAAO,GAAG,CAAC,KAAK,MAAM,UAAU3C,EAAE6B,EAAE,GAAGc,EAAE,KAAK,SAAS,cAAc,EAAEH,EAAE,IAAIX,EAAE,CAAC,EAAE,KAAK,IAAI,QAAQ,OAAO,GAAG,KAAK,SAAS,iBAAiBc,CAAC,EAAE3C,EAAE2C,EAAE,QAAQ,CAAC,EAAExC,GAAG,KAAK,YAAY,EAAEqC,EAAExC,EAAE0C,EAAE,EAAE,CAAC,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,CAAC,KAAK,EAAE,WAAW,KAAK,MAAM,SAASf,EAAE,mBAAmB,KAAK,MAAM,SAAS,aAAa,KAAK,MAAM,WAAWC,EAAE,qBAAqB,KAAK,MAAM,WAAW,YAAY,OAAO,KAAKY,CAAC,EAAE,IAAII,GAAGJ,EAAEI,IAAI,KAAKJ,EAAEI,GAAG,MAAM,IAAI,EAAE,aAAa5C,EAAE,IAAI4C,GAAGA,EAAE,KAAK,EAAE,aAAaD,EAAE,OAAO,UAAUA,EAAE,SAAS,CAAC,EAAE,MAAM,QAAQb,CAAC,EAAE9B,EAAEA,EAAE,EAAE,CAAC,2BAA2BU,EAAE,CAAC,OAAOA,EAAE,IAAIR,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,CAAC,CAAC,sBAAsBQ,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAErN,GAAG4N,CAAC,EAAE,GAAGP,GAAG,KAAK,CAAC,IAAIwB,EAAExB,EAAE,cAAc,CAAC,EAAEyB,EAAEzB,EAAE,eAAe,CAAC,EAAE0B,EAAE1B,EAAE,eAAeoX,EAAE,MAAM,QAAQvX,CAAC,EAAE,IAAI,wDAAwD,EAAE6B,EAAE,OAAO,KAAK7B,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,GAAG6B,EAAEF,EAAE,IAAI,GAAG3B,EAAE,EAAE,EAAE,IAAI8B,EAAE,EAAE,OAAO,CAAC,EAAEU,IAAIZ,EAAEY,EAAE,EAAE,OAAOX,EAAE,OAAOC,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,WAAWpB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAGO,GAAG,KAAK,MAAM,IAAI,MAAM,+CAA+C,EAAE,EAAE,GAAG,UAAUP,EAAEA,GAAG,KAAK,QAAQ,IAAIwB,EAAEjB,EAAE,IAAI,UAAUmY,GAAGnY,EAAE,EAAE,IAAIiB,EAAEjB,EAAE,IAAIoB,GAAGgZ,GAAGhZ,CAAC,CAAC,GAAG,IAAIF,EAAEzB,EAAE,MAAMwB,EAAE3B,EAAE,CAAC,EAAE6B,EAAE,IAAI7V,GAAGgU,EAAE,EAAE4B,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,YAAYC,EAAE1B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI2B,EAAE,KAAK,MAAM,WAAW,IAAIF,CAAC,EAAE,EAAEgX,GAAGjX,CAAC,EAAE,KAAK,MAAM,UAAU,EAAEG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,qBAAqBnB,EAAEV,EAAE,EAAEG,EAAE,CAAC,EAAE,GAAG,UAAU,IAAIwB,EAAE,CAAC,OAAOjB,EAAE,MAAMV,EAAE,MAAM,CAAC,EAAE,OAAO,KAAK,yBAAyB2B,EAAExB,CAAC,CAAC,CAAC,yBAAyBO,EAAEV,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAMG,EAAE,MAAMwB,CAAC,EAAEjB,EAAEkB,EAAE,IAAI5V,GAAGmU,EAAEwB,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,OAAO,KAAK,YAAYC,EAAE5B,CAAC,EAAE4B,CAAC,CAAC,aAAalB,EAAEV,EAAE,GAAG,EAAEG,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,EAAE,SAAS,EAAEA,GAAG,MAAMA,IAAIO,EAAE,QAAQA,EAAEA,EAAE,KAAKP,CAAC,GAAG,IAAIwB,EAAE,IAAIjV,GAAGgU,EAAEV,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,MAAM,oBAAoB2B,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,sBAAsBA,EAAE,6BAA6B,EAAE,OAAO,KAAK,MAAM,oBAAoBA,EAAE,MAAMA,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,EAAEA,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,KAAK,MAAM,aAAaU,EAAE,QAAQ,UAAU,KAAK,MAAM,mBAAmB,IAAI,EAAE,EAAEA,EAAE,QAAQ,aAAaA,EAAE,QAAQ,WAAW,EAAEA,EAAE,KAAKiY,GAAGjY,EAAE,KAAK,GAAG,KAAK,MAAM,UAAU,EAAE,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,IAAI,KAAK,MAAM,iBAAiB,KAAK,MAAM,WAAW,IAAIA,EAAE,OAAO,CAAC,QAAQV,GAAG,KAAK,QAAQ,MAAMU,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,GAAGA,aAAahU,IAAI,KAAK,MAAMgU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,KAAK,YAAYU,EAAEV,CAAC,EAAE,KAAK,QAAQ,OAAOU,EAAE,MAAM,CAAC,CAAC,aAAaA,EAAEV,EAAE,CAAC,KAAK,MAAM,WAAW,IAAIU,CAAC,GAAG,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,UAAUV,IAAI,KAAK,MAAM,WAAW,OAAOU,CAAC,EAAE,KAAK,MAAM,iBAAiB,CAAC,cAAcA,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,EAAE,OAAO,IAAIV,EAAE,KAAK,MAAM,WAAW,IAAIU,EAAE,MAAM,EAAE,GAAG,KAAK,MAAM,aAAaA,EAAE,QAAQ,WAAW,KAAK,MAAM,mBAAmB,KAAK,MAAM,UAAUV,EAAE,OAAOU,EAAE,QAAQ,aAAaA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEA,EAAE,KAAKiY,GAAGjY,EAAE,KAAK,EAAE,KAAK,MAAM,UAAU,CAAC,CAACV,EAAE,QAAQ,YAAYU,EAAE,MAAM,GAAG,KAAK,aAAaA,EAAE,OAAOV,EAAE,OAAO,CAAC,CAAC,kBAAkB,CAAC,QAAQU,KAAK,KAAK,MAAM,oBAAoB,CAAC,IAAIV,EAAE,KAAK,MAAM,oBAAoBU,GAAG,KAAK,gBAAgBV,CAAC,CAAC,CAAC,CAAC,gBAAgBU,EAAE,CAAC,KAAK,cAAcA,CAAC,EAAE,KAAK,MAAM,oBAAoBA,EAAE,OAAO,MAAM,OAAO,KAAK,MAAM,oBAAoBA,EAAE,KAAK,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,QAAQ,OAAO,EAAE,OAAOA,EAAE,WAAW,KAAK,MAAM,WAAWA,EAAE,eAAe,KAAK,MAAM,eAAeA,EAAE,SAAS,KAAK,MAAM,SAAS,KAAK,MAAM,iBAAiB,IAAIA,EAAE,WAAW,GAAGA,EAAE,SAAS,OAAOA,EAAE,QAAQ,CAAC,GAAGA,EAAE,QAAQ,KAAK,uEAAuE,GAAGA,CAAC,CAAC,MAAM,QAAQA,EAAE,CAAC,KAAK,MAAM,UAAU,GAAG,IAAIV,EAAE,KAAK,MAAM,SAAS,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,CAAC,EAAE,KAAK,MAAM,cAAc,OAAO,MAAMU,EAAE,EAAE,KAAK,MAAM,UAAU,GAAG,KAAK,MAAM,cAAc,UAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAIP,GAAGA,EAAE,kBAAkB,CAAC,EAAE,KAAK,MAAM,cAAc,SAAS,KAAK,MAAM,SAASH,EAAE,KAAK,MAAM,cAAc,WAAW,KAAK,MAAM,WAAW,EAAE,QAAQG,KAAK,KAAK,MAAM,cAAc,QAAQA,EAAE,aAAa,MAAMA,EAAE,aAAaA,EAAE,UAAU,MAAMA,EAAE,UAAU,OAAO,KAAK,MAAM,aAAa,CAAC,UAAU,CAAC,OAAO,KAAK,MAAM,cAAc,GAAG,KAAK,MAAM,cAAc,CAAC,CAAC,YAAYO,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAG,KAAK,MAAM,iBAAiB,WAAWnB,EAAE,OAAOV,EAAE,QAAQ,EAAE,MAAM2B,CAAC,EAAEG,EAAEhP,GAAG4N,CAAC,EAAEoB,GAAG,OAAO3B,EAAE2B,EAAE,UAAU3B,GAAG,OAAO0B,EAAE,SAAS,IAAI,EAAE,EAAE,IAAI,CAACW,EAAE,IAAI,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,EAAE,GAAGC,EAAE6W,GAAG9W,EAAE,KAAKA,EAAE,KAAK,EAAE,OAAO,KAAK,WAAWC,EAAED,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,OAAOF,CAAC,CAAC,EAAErC,EAAE,EAAE,OAAO,EAAE,EAAE,EAAE,GAAGwB,EAAEC,CAAC,IAAI,KAAK,MAAM,WAAW,KAAKC,CAAC,CAAC,CAAC,KAAKnB,EAAE,CAAC,OAAOA,EAAE,KAAK,GAAGA,CAAC,CAAC,WAAW,CAAC,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,CAAC,GAAG,KAAK,MAAM,eAAe,CAAC,SAAS,CAAC,KAAK,MAAM,eAAe,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,CAAC,MAAM,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,MAAM,aAAa,EAAEU,IAAIV,EAAE,KAAKU,GAAG,KAAK,MAAM,WAAW,KAAKV,CAAC,EAAE,KAAK,MAAM,YAAYA,CAAC,CAAC,SAASU,EAAE,CAAC,IAAIV,EAAE6d,GAAGnd,CAAC,EAAE,EAAE,IAAI,IAAIV,EAAE,IAAI2B,GAAGA,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAE,KAAK,MAAM,YAAY,MAAM,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,MAAM,YAAY,MAAMD,GAAG,CAACC,EAAE,MAAM,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,IAAIzB,EAAE,KAAK,MAAM,WAAW,IAAI,EAAE,KAAK,MAAM,YAAY,KAAK,MAAM,WAAW,SAAS,EAAE,KAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,OAAO,GAAGH,EAAE,QAAQ2B,GAAG,CAAC,CAACA,EAAE,MAAMA,EAAE,UAAUxB,EAAE,IAAI,KAAK,MAAMwB,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,GAAGoX,EAAEvX,EAAE,OAAO,EAAE,IAAI,2CAA2C,EAAE,GAAG,MAAM,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,IAAI2B,EAAE,KAAK,UAAU,IAAI,KAAK,UAAU,EAAE,IAAI,KAAK,QAAQ,EAAE,IAAI,KAAK,KAAK,UAAUjB,CAAC,CAAC,EAAE6W,EAAE5V,aAAa3V,GAAG,IAAI,gDAAgD,EAAE,IAAI4V,EAAE8a,GAAG,KAAK,MAAM,WAAW1c,EAAE2B,CAAC,EAAE,GAAG,CAACxB,GAAGyB,EAAE,SAAS,GAAG5B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qIAAqI,EAAE,OAAO,KAAK,KAAK,WAAW,IAAI,CAAC,IAAI6B,EAAE,CAAC,EAAEA,EAAEF,EAAE,IAAI,GAAG,KAAKgd,GAAGhd,EAAE,KAAK,EAAE,EAAEgb,GAAG9a,EAAED,EAAE,GAAG,KAAK,KAAK,CAAC,EAAEgd,EAAE,EAAE,IAAI9c,EAAE9B,EAAE,IAAI,GAAG6B,EAAE,EAAE,GAAG,EAAE,OAAO,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,QAAQ,GAAG,CAAC,QAAQW,KAAK,EAAE,MAAMA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,MAAM,WAAW,MAAM,CAAC,MAAMb,EAAE,MAAMG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAWpB,EAAE,CAAC,OAAO6W,EAAE0B,GAAGvY,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIV,IAAI,CAACuX,EAAEvX,EAAE,MAAM6B,GAAGA,aAAa7V,EAAE,EAAE,IAAI,kEAAkE,EAAE,IAAI,EAAEmU,EAAE,CAAC,EAAEH,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC3B,EAAE2B,GAAGD,CAAC,CAAC,EAAE,IAAIF,EAAE,CAACE,EAAEC,KAAK,EAAEpB,EAAE,GAAGV,EAAE8B,CAAC,EAAEyV,EAAE,EAAE,iBAAiBvrB,GAAG,IAAI,4FAA4F,EAAEurB,EAAE0B,GAAG,EAAE,QAAQ,EAAE,IAAI,kGAAkG,EAAE,EAAE,OAAOrX,EAAE,CAACC,EAAEC,IAAI,CAAC,IAAI,EAAE,EAAE,SAASD,EAAEC,CAAC,EAAEU,EAAE,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE+U,EAAE/U,EAAE,SAASxC,EAAE,OAAO,IAAI,qKAAqK,EAAEuX,EAAE/U,EAAE,MAAME,GAAGA,aAAa1W,EAAE,EAAE,IAAI,sIAAsI,EAAE,IAAI,EAAE,CAAC,EAAE,OAAOwW,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAAC,EAAEA,GAAG,IAAID,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK,cAAc,CAAC,YAAYf,EAAE,cAAcC,EAAE,OAAOzB,CAAC,CAAC,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,SAASA,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIU,CAAC,EAAE,QAAQ,UAAUA,EAAEV,CAAC,CAAC,CAAC,MAAM,KAAKU,EAAE,CAAC,IAAIV,EAAEob,GAAG,EAAE,EAAE,MAAM,KAAK,QAAQ,KAAK1a,CAAC,EAAE,OAAO,EAAE,OAAO0a,GAAG,EAAEpb,EAAE,CAAC,CAAC,MAAMU,EAAE,CAAC,OAAO,KAAK,MAAM,aAAa,OAAOA,EAAE,QAAQ,KAAK,MAAM,YAAY,GAAG,KAAK,MAAM,YAAY,MAAM,KAAKA,CAAC,GAAGA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,OAAO,CAAC,KAAK,uBAAuB,KAAK,MAAM,QAAQ,EAAE,KAAK,IAAI,MAAM,EAAE,KAAK,MAAM,IAAI8d,GAAG,QAAQ9d,KAAK,KAAK,SAAS,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,GAAG,QAAQ,EAAE,OAAO,KAAK,SAASA,GAAG,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,KAAK,mBAAmB,IAAI,CAAC,EAAE+d,GAAG,aAAa,EAAEA,GAAG,eAAe,EAAE,SAASE,GAAG7e,EAAE,CAAC,IAAI,EAAEyZ,GAAG5B,GAAG7X,CAAC,EAAE,SAAS,EAAE,OAAO4e,EAAE,WAAW,EAAE5e,EAAE,SAAS,CAAC,CAAC,SAAS+e,IAAI,CAAC,IAAI/e,EAAEsa,GAAG,EAAE,GAAGta,EAAE,WAAW,KAAK,CAAC,IAAI,EAAE,IAAInc,GAAGmc,CAAC,EAAEA,EAAE,UAAU,IAAI2e,GAAG,CAAC,CAAC,CAAC,OAAOvE,GAAGpa,EAAE,UAAU,GAAG,EAAE0d,GAAG,IAAI1d,EAAE,SAAS,EAAEA,EAAE,SAAS,CAAC,IAAI4e,EAAEG,GAAG,EAAE,SAASD,GAAG9e,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,EAAE,EAAE,CAAC,EAAE,OAAO4e,EAAE,UAAUv+B,GAAG6f,CAAC,CAAC,CAAC,IAAItP,GAAG,CAAC,EAAEqP,GAAGrP,GAAG,CAAC,UAAU,IAAIouB,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,EAAE,CAAC,EAAE,SAASC,IAAI,CAAC,OAAO,OAAO,WAAW,aAAa,WAAW,IAAI,CAAC,IAAIC,GAAG,SAASF,GAAGlf,EAAE,CAACof,GAAGpf,CAAC,CAAC,SAASif,GAAGjf,EAAE,CAAC,GAAGof,KAAK,OAAO,OAAOA,GAAG,GAAGpf,GAAGmf,GAAG,EAAE,CAAC,GAAGnf,IAAIA,EAAE,WAAWA,EAAE,UAAU,cAAc,MAAM,GAAG,IAAI,EAAEA,EAAE,WAAWA,EAAE,SAAS,OAAO,QAAQ,YAAY,OAAO,MAAM,IAAI,GAAG,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOE,EAAE,eAAeA,EAAE,cAAc,MAAM,CAAC,MAAM,2TAA2T,KAAK,CAAC,GAAG,0kDAA0kD,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAAS8e,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,UAAU,MAAM,OAAO,mBAAmB,WAAW,CAAC,IAAIK,GAAGztB,EAAE,EAAEytB,GAAG,aAAa,QAAQ,IAAI,GAAGrf,GAAG,CAACA,GAAG,QAAQ,KAAK,6IAA6I,CAAC,CAAC,EAAEqf,GAAG,aAAa,aAAa,IAAIL,GAAG,CAAC,EAAEK,GAAG,aAAa,UAAU,IAAI,OAAO,SAAS,aAAa,OAAO,QAAQ,UAAU,aAAa,OAAO,QAAQ,SAAS,MAAM,WAAW,EAAEA,GAAG,aAAa,YAAY,IAAI,OAAO,WAAW,aAAa,WAAW,MAAM,UAAU,WAAW,MAAM,SAAS,KAAK,UAAU,SAAS,GAAG,aAAa,KAAK,UAAU,MAAM,CAAC,EAAEA,GAAG,aAAa,OAAO,IAAI,EAAE,EAAEA,GAAG,aAAa,qCAAqC,IAAIA,GAAG,QAAQ,OAAO,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,UAAU,IAAI,EAAE,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,wCAAwC,IAAI,EAAE,EAAEA,GAAG,aAAa,uBAAuB,IAAI,EAAE,EAAE,SAASC,GAAGtf,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGqb,GAAGrb,CAAC,EAAE,OAAO,IAAI,SAAS,CAAC,EAAE,CAACA,EAAE,MAAM,EAAE,GAAG,OAAOA,GAAG,UAAU,GAAG,YAAYA,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,UAAU,OAAO,MAAM,CAACA,EAAE,OAAOA,EAAE,MAAM6B,EAAE,MAAM,CAAC,SAAS,WAAW7B,GAAG,EAAEA,EAAE,kBAAkB,aAAa,MAAM,CAACA,EAAE,OAAO,MAAM,GAAG,KAAK,EAAE6Y,GAAG,CAAC,EAAE,EAAE,GAAG,CAAC,MAAM,QAAQ7Y,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIK,EAAE,CAAC,EAAE,KAAK,MAAM,QAAQH,CAAC,GAAGmb,GAAGnb,CAAC,GAAG,IAAI,UAAUG,EAAE,KAAKH,EAAE,MAAM,EAAEA,EAAEA,EAAE,GAAG,OAAO,MAAM,QAAQF,CAAC,GAAGpO,EAAE,EAAE,QAAQ,oCAAoC,GAAG2tB,GAAGvf,EAAEK,EAAE,CAAC,CAAC,EAAEA,CAAC,CAAC,SAASkf,GAAGvf,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAEA,GAAG,CAAC,EAAE,CAAC,MAAM,QAAQF,CAAC,GAAG,CAACqb,GAAGrb,CAAC,EAAE,CAACyX,EAAE,EAAE,SAAS,EAAE,IAAI,eAAevX,EAAE,KAAK,IAAI,2DAA2D,EAAE,aAAa,EAAE,MAAM,CAACuX,EAAE,EAAE,OAAO,EAAE,IAAI,eAAevX,EAAE,KAAK,IAAI,gDAAgDF,EAAE,iBAAiB,EAAEyX,EAAEzX,EAAE,SAAS,EAAE,GAAG,IAAI,eAAeE,EAAE,KAAK,IAAI,kBAAkB,EAAE,wBAAwBF,EAAE,iBAAiB,EAAE,IAAII,EAAE,EAAE,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEkf,GAAGvf,EAAEK,GAAGD,EAAEF,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,SAASmf,GAAGxf,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,IAAI,oBAAoB,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,IAAI,WAAWA,IAAI,GAAGA,IAAI,WAAW,IAAI,SAAS,MAAM,IAAI,MAAM,aAAaE,iBAAiBE,cAAcJ,qBAAqB,UAAU,CAAC,CAAC,CAAC,SAASyf,EAAEzf,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAGJ,aAAa9T,GAAG,OAAOszB,GAAGpf,EAAEJ,EAAE,MAAM,EAAEE,CAAC,EAAEF,EAAE,IAAIK,EAAE6Y,GAAGlZ,CAAC,EAAE,GAAGK,IAAI,UAAU,CAAC,OAAO,QAAQ,SAAS,EAAE,QAAQD,CAAC,GAAG,IAAIC,EAAED,GAAGof,GAAGpf,EAAEC,EAAE,EAAEH,CAAC,EAAEF,GAAG,MAAM,CAACqb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,CAAC,IAAIgC,EAAEhC,GAAG,KAAK,OAAOA,EAAE,YAAY,KAAK,MAAM,IAAI,MAAM,aAAa,iBAAiBE,+CAA+C8B,IAAI,CAAC,CAAC,IAAI,EAAEsd,GAAGtf,EAAEK,CAAC,EAAE,CAACgb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI+B,EAAE1B,IAAI,SAASkb,GAAGvb,EAAEK,CAAC,EAAE8a,GAAGnb,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO4e,EAAE,WAAW7c,EAAE,EAAE1B,CAAC,CAAC,CAAC,SAASqf,GAAG1f,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAG,CAAC,MAAM,QAAQJ,CAAC,EAAE,MAAM,IAAI,MAAM,YAAY,eAAeE,8CAA8C,EAAE,OAAOF,EAAE,IAAI,CAAC6B,EAAEC,IAAI2d,EAAE5d,EAAE,GAAG,KAAKC,KAAK5B,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIpY,GAAG,OAAO,SAASwP,EAAEwI,EAAE,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc,EAAE,IAAIE,EAAE,EAAE,GAAGE,EAAEJ,EAAEE,GAAGA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,GAAGA,EAAEA,EAAElY,GAAG,IAAIqY,EAAE,IAAI,IAAI,CAACue,EAAE,WAAW1e,CAAC,EAAE,GAAG,CAAC,IAAI,EAAEE,EAAE,GAAG,CAAC,EAAE,OAAO2Z,GAAG,CAAC,GAAG,QAAQ,MAAM,yCAAyC,EAAE6E,EAAE,SAAS,CAAC,EAAE,CAAC,OAAO,EAAN,CAAS,MAAMA,EAAE,SAAS,IAAI,EAAE,CAAC,CAAC,EAAE,OAAO,OAAO,eAAeve,EAAE,OAAO,CAAC,MAAMH,EAAE,aAAa,EAAE,CAAC,EAAEG,CAAC,CAAC,SAASsf,GAAG3f,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,OAAO,SAAS,EAAEI,EAAEqf,EAAE,EAAE,OAAO,SAAS,EAAE/H,GAAGxX,EAAE,MAAME,EAAE,MAAM,yBAAyBF,EAAE,aAAaE,EAAE,4CAA4C,EAAE,IAAIC,EAAE,CAAC,KAAKH,EAAE,KAAKE,CAAC,EAAE,OAAOwe,EAAE,UAAU78B,GAAGse,CAAC,CAAC,CAAC,IAAIlR,GAAGqI,EAAE,CAAC,SAASmoB,EAAE,CAAC,EAAE,SAASC,GAAG5f,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAKA,EAAE8Y,GAAGlZ,CAAC,UAAUI,IAAI,YAAY,MAAM,IAAI,MAAM,kFAAkF,EAAE,GAAG,OAAOJ,GAAG,WAAW,YAAYA,GAAG,WAAWA,GAAG,EAAEA,EAAE,kBAAkB,cAAc,CAAC,GAAGI,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,2FAA2FA,IAAI,EAAE,OAAOwe,EAAE,QAAQ,wBAAwB5e,EAAE,GAAGE,EAAEE,CAAC,CAAC,CAAC,GAAG,CAACib,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,0HAA0H,EAAE,GAAG,GAAG,KAAK,CAAC4Z,GAAG,CAAC,EAAE,IAAIvZ,EAAEwX,GAAG,CAAC,EAAE,EAAEA,GAAG3X,CAAC,EAAEuX,EAAEpX,IAAI,EAAE,IAAI,iCAAiC,8BAA8BA,oBAAoB,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,GAAG8B,EAAE,IAAI9B,EAAE,OAAO,EAAE6B,IAAI8V,GAAG,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGJ,EAAEvX,EAAE,KAAK,EAAE,IAAI,CAAC8B,EAAE,IAAI,gDAAgD9B,yCAAyC,MAAM,CAAC,CAAC,CAAC,MAAM,CAACmb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,EAAE,GAAGE,EAAEF,EAAEI,IAAI,SAASmb,GAAGvb,EAAEI,CAAC,EAAE+a,GAAGnb,EAAE,CAAC,EAAE,EAAE,EAAE4e,EAAE,WAAW5e,EAAE,EAAEI,CAAC,CAAC,CAAC,SAASnD,GAAG+C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,OAAO0f,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,IAAI2f,GAAG,CAAC,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,OAAO,EAAE,MAAM,EAAE,KAAK,EAAE,UAAU,CAAC,EAAMC,GAAG,EAAE,eAAeC,GAAG/f,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEC,EAAE,MAAM,QAAQL,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,MAAM,QAAQhC,CAAC,EAAEA,EAAE,GAAG,OAAOA,EAAE+B,GAAG,GAAGC,EAAE,QAAQ,WAAWA,EAAE,QAAQ,SAASA,EAAE,QAAQ,QAAQA,EAAE,QAAQ,UAAUA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,gCAAgCD,OAAOC,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,KAAKF,EAAE,MAAMC,EAAE,MAAM,MAAMA,EAAE,KAAK,EAAE,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIU,EAAE,IAAI,QAAQ,MAAMC,GAAG,CAAC,IAAIC,EAAE,MAAMZ,EAAE,MAAM,EAAEa,EAAED,EAAE,OAAO,CAAC,EAAE0E,IAAI,EAAEA,EAAE,OAAO,CAAC,EAAEwY,GAAGld,EAAE,OAAOE,EAAE,IAAI,WAAWD,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEpB,EAAE,OAAO,IAAI,CAAC,IAAI0E,EAAE1E,EAAE,GAAG,EAAE,IAAI,WAAW,IAAI,YAAY,CAAC0E,EAAE,MAAM,CAAC,EAAE,MAAM,EAAExE,EAAE,IAAI,EAAEkB,CAAC,EAAEA,GAAG8b,GAAGhd,EAAE,IAAIwE,EAAEtD,CAAC,EAAEA,GAAGsD,EAAE,MAAM,CAAC3E,EAAEG,CAAC,CAAC,CAAC,EAAE1C,EAAE,KAAKsC,CAAC,CAAC,MAAMtC,EAAE,KAAK4B,EAAE,KAAK,CAAC,EAAE,GAAG,OAAOC,EAAE,MAAM,GAAG/B,EAAE,KAAK+B,CAAC,CAAC,CAAC,IAAI,EAAE,MAAM,QAAQ,IAAI7B,CAAC,EAAE,MAAM,CAAC,KAAK4f,GAAG,CAAC,EAAE,MAAM9f,CAAC,CAAC,CAAC,SAAS+f,GAAGjgB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEC,EAAE,EAAE,QAAQ,KAAK,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK0B,EAAE,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAE4V,GAAG7V,CAAC,EAAEU,EAAE,GAAG,iBAAiB,EAAE,CAAC,IAAIC,EAAE,EAAE,aAAa,GAAGA,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,GAAG,EAAE,QAAQA,GAAG,UAAUA,GAAG,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BA,EAAE,0DAA0D,UAAUA,EAAE,QAAQ,WAAW,GAAGZ,IAAI,UAAU,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BY,EAAE,yDAAyDZ,IAAI,MAAO,OAAM,IAAI,MAAM,UAAU,EAAE,uCAAuCY,EAAE,6EAA6E,EAAE,IAAIC,EAAEid,GAAGld,EAAE,OAAOE,EAAE7C,EAAE,MAAMK,EAAEA,EAAE4B,EAAEW,CAAC,EAAEE,EAAEH,EAAE,QAAQ,QAAQ,IAAI,WAAWE,CAAC,EAAE,IAAI,YAAYA,CAAC,EAAE,GAAGd,IAAI,UAAU,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,CAACD,EAAE,IAAI,aAAaI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,SAASA,EAAE,QAAQ,UAAUvC,IAAI,SAASA,EAAE8f,GAAG,GAAGxd,EAAEtC,EAAE0C,CAAC,MAAO,OAAM,IAAI,MAAM,iCAAiCH,EAAE,gCAAgC,UAAUZ,IAAI,QAAQ,CAAC,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiCA,EAAE,8BAA8B,EAAED,EAAE,IAAI,WAAWI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,GAAGtB,EAAEsB,GAAG,KAAK,MAAM,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOZ,GAAG,EAAE1B,GAAG4B,EAAEW,CAAC,SAASb,IAAI,SAAS,CAAC,IAAIY,EAAEkV,GAAG,EAAE,KAAK,EAAEnV,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIC,EAAE,IAAI,YAAY7C,EAAE,MAAMK,EAAEA,EAAEyf,EAAE,CAAC,EAAE,GAAGzf,GAAGyf,GAAG,IAAIhd,EAAE,IAAI,WAAW9C,EAAE,MAAMK,EAAEA,EAAEwC,CAAC,CAAC,EAAEH,EAAE,KAAKI,CAAC,EAAEzC,GAAGwC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAEkd,GAAG9d,GAAGa,EAAE5C,EAAE,MAAMK,EAAEA,EAAE4B,EAAEU,CAAC,EAAE,GAAGZ,IAAI,UAAUW,EAAE,IAAI,aAAaE,CAAC,UAAUb,IAAI,QAAQW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,OAAOW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,YAAY,CAACW,EAAE,IAAI,aAAaE,CAAC,EAAE,IAAIC,EAAE,IAAI,aAAaH,EAAE,OAAO,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,OAAO,CAAC,EAAE,QAAQ4E,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,IAAIzE,EAAEyE,GAAG5E,EAAE4E,EAAE,GAAGxE,EAAEwE,GAAG5E,EAAE4E,EAAE,EAAE,GAAG,IAAItD,EAAE/G,GAAG4F,EAAEb,EAAE,SAAS,EAAE,EAAE/E,GAAG6F,EAAEd,EAAE,SAAS,EAAE9B,EAAE,GAAG/Q,GAAG6U,EAAE,CAAC,EAAEA,EAAE,QAAQ,EAAE,EAAE,QAAQ,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOjC,GAAG,EAAE1B,GAAG4B,EAAEU,CAAC,CAACZ,IAAI,cAAc7B,EAAE,GAAGjD,GAAGyF,EAAEV,EAAED,CAAC,EAAE,CAAC,OAAO7B,CAAC,CAAC,SAAS8f,GAAGhgB,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,UAAUA,CAAC,GAAG,EAAE,IAAI,EAAE,EAAEE,EAAE,CAAC,EAAEF,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,EAAE,WAAWE,EAAE,KAAK,EAAE,aAAa,EAAE,OAAO,WAAW,EAAE,IAAI,EAAE,YAAY,CAAC,CAAC,EAAE,EAAE,aAAa,cAAc,aAAa,YAAY,aAAa,YAAY,MAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAI,WAAW,CAAC,EAAEC,EAAE,EAAE,OAAOH,EAAE,QAAQ,GAAG,CAACE,EAAE,IAAI,IAAI,WAAW,EAAE,MAAM,EAAEC,CAAC,EAAEA,GAAG,EAAE,UAAU,CAAC,EAAED,EAAE,MAAM,CAAC,IAAI+f,GAAG,OAAO,QAAQ,cAAc,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,SAASC,GAAGpgB,EAAE,CAAC,OAAOmgB,GAAG,OAAO,WAAWngB,CAAC,EAAE,IAAI,KAAK,CAACA,CAAC,CAAC,EAAE,IAAI,CAAC,SAASqgB,GAAGrgB,EAAE,CAAC,GAAGmgB,GAAG,OAAO,OAAO,KAAKngB,CAAC,EAAE,SAAS,QAAQ,EAAE,IAAI,EAAE,IAAI,WAAWA,CAAC,EAAEE,EAAE,GAAG,QAAQE,EAAE,EAAEC,EAAE,EAAE,OAAOD,EAAEC,EAAED,IAAIF,GAAG,OAAO,aAAa,EAAEE,EAAE,EAAE,OAAO,KAAKF,CAAC,CAAC,CAAC,SAASogB,GAAGtgB,EAAE,CAAC,GAAGmgB,GAAG,CAAC,IAAI/f,EAAE,OAAO,KAAKJ,EAAE,QAAQ,EAAE,OAAOI,EAAE,OAAO,MAAMA,EAAE,WAAWA,EAAE,WAAWA,EAAE,UAAU,CAAC,CAAC,IAAI,EAAE,KAAKJ,CAAC,EAAEE,EAAE,IAAI,WAAW,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEF,EAAE,IAAI,CAAC,EAAE,WAAWE,CAAC,CAAC,EAAEA,CAAC,EAAE,OAAOF,EAAE,MAAM,CAAC,SAASqgB,GAAGvgB,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAE,GAAG,IAAI,EAAE,EAAEA,EAAE,QAAQK,GAAG,CAAC,GAAGA,EAAE,UAAU,CAAC,EAAE,IAAIH,EAAE,IAAI,WAAW,CAAC,EAAEE,EAAE,EAAE,OAAOJ,EAAE,QAAQK,GAAG,CAACH,EAAE,IAAI,IAAI,WAAWG,CAAC,EAAED,CAAC,EAAEA,GAAGC,EAAE,UAAU,CAAC,EAAEH,EAAE,MAAM,CAAC,SAASsgB,GAAGxgB,EAAE,CAAC,IAAI,EAAE,IAAI,IAAIA,EAAEA,EAAE,KAAK,EAAEA,EAAE,SAAS,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,IAAIE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAEA,EAAE,OAAO,EAAE,CAAC,SAASugB,GAAGzgB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcF,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,gBAAgB,CAAC,EAAE,OAAOA,EAAE,WAAW,OAAOE,EAAE,UAAUF,EAAE,WAAWA,EAAE,qBAAqB,OAAOE,EAAE,oBAAoBF,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOE,EAAE,iBAAiBF,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOE,EAAE,qBAAqBF,EAAE,sBAAsBA,EAAE,gBAAgB,OAAOE,EAAE,eAAeF,EAAE,gBAAgBE,CAAC,CAAC,SAASwgB,GAAG1gB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcJ,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,WAAW,EAAE,GAAGA,EAAE,gBAAgB,OAAOI,EAAE,eAAeJ,EAAE,gBAAgBA,EAAE,iBAAiB,KAAK,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAG,CAACE,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAEE,EAAE,YAAY,EAAEA,EAAE,WAAWF,CAAC,CAAC,OAAOF,EAAE,WAAW,OAAOI,EAAE,UAAUJ,EAAE,WAAWA,EAAE,qBAAqB,OAAOI,EAAE,oBAAoBJ,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOI,EAAE,iBAAiBJ,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOI,EAAE,qBAAqBJ,EAAE,sBAAsBI,CAAC,CAAC,eAAeugB,GAAG3gB,EAAE,EAAE,CAAC,IAAIE,EAAEE,EAAE,OAAOJ,EAAE,iBAAiB,OAAO,CAACE,EAAEE,CAAC,EAAE,MAAM,EAAEJ,EAAE,eAAe,GAAG0gB,GAAG1gB,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASwgB,GAAG5gB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,CAAC,UAAU,IAAI,KAAK,kBAAkB,OAAO,mBAAmBA,EAAE,eAAe,KAAK,EAAEogB,GAAG,KAAK,UAAUpgB,EAAE,aAAa,CAAC,EAAE,iBAAiBA,EAAE,aAAa,KAAK,EAAEogB,GAAG,KAAK,UAAUpgB,EAAE,WAAW,CAAC,EAAE,gBAAgBA,EAAE,YAAY,KAAK,EAAEA,EAAE,WAAW,UAAU,CAAC,CAAC,SAAS6gB,GAAG7gB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAK,GAAGE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,SAAS4gB,IAAI,CAAC,IAAI9gB,EAAEE,GAAG,CAAC,IAAIE,EAAEF,GAAG,GAAGG,EAAE,EAAE,MAAMD,EAAE,WAAW,GAAGC,GAAG,QAAQD,IAAI,EAAE,OAAOA,GAAG,SAASC,GAAG,UAAUD,EAAEC,CAAC,EAAE,EAAE,IAAI,YAAY,IAAI,EAAE,EAAE,GAAG,EAAE,QAAQH,EAAE,EAAEA,EAAE,KAAKA,IAAI,EAAEA,GAAGF,EAAEE,CAAC,EAAE,QAAQA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAEA,GAAG,WAAWA,EAAE,MAAM,IAAI,OAAO,CAAC,CAAC,SAAS6gB,IAAI,CAAC,IAAI/gB,EAAE,IAAI,YAAY,EAAE,EAAEA,EAAE,GAAG,EAAEA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAWA,EAAE,IAAI,WAAW,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,GAAG,QAAQ,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,GAAG,YAAY,EAAE,IAAI,IAAI,OAAOA,CAAC,CAAC,SAASghB,IAAI,CAAC,IAAIhhB,EAAE,IAAI,YAAY,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,GAAG,KAAK,OAAOA,EAAE,GAAGA,EAAE,IAAI,EAAEA,CAAC,CAAC,SAASkgB,IAAI,CAAC,IAAIlgB,EAAE8gB,GAAG,EAAE,EAAEC,GAAG,EAAE7gB,EAAE8gB,GAAG,EAAE,OAAO5gB,GAAG,CAAC,IAAIC,EAAE,IAAI,YAAY,EAAED,EAAE,MAAM,EAAE,EAAE,IAAI,YAAYC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,IAAI,CAAC,IAAI2B,EAAE3B,EAAE,GAAG4B,EAAEhC,EAAEE,EAAE6B,GAAG,KAAKA,EAAE,OAAO,EAAEA,GAAG,IAAI,EAAE,GAAGC,CAAC,CAAC,OAAO,IAAI,aAAa3B,CAAC,CAAC,CAAC,CAAC,IAAI4gB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,mBAAmBrgB,EAAE,CAACqgB,GAAG,YAAY,EAAE,YAAY,KAAKrgB,CAAC,CAAC,CAAC,OAAO,mBAAmBA,EAAE,CAACqgB,GAAG,YAAY,EAAE,YAAY,KAAKrgB,CAAC,CAAC,CAAC,OAAO,gBAAgBA,EAAE,CAAC,OAAOqgB,GAAG,YAAYrgB,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgBA,EAAEV,EAAE,CAAC,OAAO+gB,GAAG,YAAYrgB,EAAE,OAAOV,CAAC,CAAC,CAAC,OAAO,YAAYU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,OAAOH,IAAI,OAAO+gB,GAAG,YAAY,EAAE,YAAYA,GAAG,YAAY,EAAE,aAAa,QAAQnf,GAAG,CAAC,IAAIC,EAAED,EAAElB,EAAE,CAAC,EAAEmB,IAAI,MAAM1B,EAAE,KAAK0B,CAAC,CAAC,CAAC,EAAE1B,CAAC,CAAC,EAAE6gB,GAAGlhB,GAAGihB,GAAG,mBAAmBjhB,CAAC,EAAEmhB,GAAGnhB,GAAGihB,GAAG,mBAAmBjhB,CAAC,EAAEohB,GAAGphB,GAAGihB,GAAG,gBAAgBjhB,CAAC,EAAEqhB,GAAG,CAACrhB,EAAE,IAAIihB,GAAG,gBAAgBjhB,EAAE,CAAC,EAAMshB,GAAG,eAAeC,GAAG,EAAEC,GAAG,eAAeC,GAAG,mBAAmB,SAASC,IAAI,CAAC,GAAG,CAAC9vB,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIoO,EAAE,OAAO,QAAQ,YAAY,KAAK,OAAO,EAAEA,EAAE,WAAWA,EAAE,cAAcA,EAAE,iBAAiBA,EAAE,aAAaA,EAAE,cAAc,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,2DAA2D,EAAE,OAAO,CAAC,CAAC,SAAS2hB,GAAG3hB,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,EAAE,kBAAkBwhB,GAAG,CAAC,QAAQ,WAAW,CAAC,EAAE,EAAE,kBAAkBC,GAAG,CAAC,QAAQ,WAAW,CAAC,CAAC,CAAC,IAAIG,GAAG,KAAK,CAAC,YAAYhhB,EAAE,CAAC,GAAG,KAAK,UAAU8gB,GAAG,EAAE9gB,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,KAAK,UAAUA,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,OAAO,KAAK,eAAe,KAAK,UAAUA,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,SAAS,CAAC,CAAC,eAAeA,EAAEV,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEG,IAAI,CAAC,IAAIwB,EAAE,KAAK,UAAU,KAAKyf,GAAGC,EAAE,EAAE1f,EAAE,gBAAgB,IAAI8f,GAAG9f,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAED,EAAE,OAAO,GAAG3B,GAAG,KAAK,CAAC,IAAI6B,EAAED,EAAE,YAAY0f,GAAG,UAAU,EAAEvf,EAAEF,EAAE,YAAYyf,EAAE,EAAE,IAAI,KAAK,SAAS,EAAEvf,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAEzB,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC,EAAE,EAAE4B,EAAE,OAAO,cAAc,CAAC,EAAEA,EAAE,QAAQS,IAAIZ,EAAE,MAAM,EAAEzB,EAAE4B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAID,EAAE,MAAM,CAAC,KAAK,CAAC,IAAIC,EAAE6e,GAAG1gB,CAAC,EAAE8B,EAAEF,EAAE,YAAY2f,GAAG,WAAW,EAAE,EAAEzf,EAAE,YAAYyf,EAAE,EAAE/e,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,mBAAmBX,CAAC,CAAC,EAAE,EAAEW,EAAE,UAAU,IAAI,CAAC,EAAEZ,EAAE,YAAY0f,GAAG,WAAW,EAAE,IAAI3e,EAAE,EAAE,YAAY2e,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,eAAethB,EAAE,mBAAmB6B,CAAC,CAAC,EAAEc,EAAE,UAAU,IAAI,EAAE,CAAC,mBAAmBd,CAAC,CAAC,EAAEc,EAAE,QAAQC,GAAG,CAAC,EAAEd,EAAE,YAAYyf,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,KAAK,SAAS,EAAE,EAAE,UAAU,KAAK3f,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,GAAG,EAAE,QAAQoB,IAAInC,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,QAAQE,IAAId,EAAE,MAAM,EAAEzB,EAAEqC,EAAE,KAAK,GAAGV,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKF,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAED,EAAE,QAAQC,GAAGzB,EAAEwB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE+f,GAAG,WAAW,eAAe,IAAIC,GAAG7hB,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW4hB,GAAG,UAAU,EAAEE,GAAG9hB,EAAE,MAAM4hB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKX,GAAG,mBAAmBY,EAAE,EAAEZ,GAAG,mBAAmBY,EAAE,EAAE,SAASC,GAAG9hB,EAAE,CAAC,OAAO,IAAI4hB,GAAG5hB,CAAC,CAAC,CAAC,SAAS+hB,GAAG/hB,EAAE,CAAC,OAAOA,EAAE,WAAW4hB,GAAG,UAAU,EAAE5hB,EAAE,MAAM4hB,GAAG,WAAW,MAAM,EAAE5hB,CAAC,CAAC,IAAIgiB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,UAAUN,GAAG,CAAC,CAAC,MAAM,YAAY,CAAC,OAAO,IAAI,QAAQ,CAAC9gB,EAAEV,IAAI,CAAC,IAAI,EAAE,KAAK,UAAU,KAAKohB,GAAGC,EAAE,EAAE,EAAE,gBAAgB,IAAII,GAAG,CAAC,EAAE,EAAE,UAAU,IAAI,CAAC,IAAIthB,EAAE,EAAE,OAAOwB,EAAExB,EAAE,YAAYohB,GAAG,UAAU,EAAE1f,EAAEF,EAAE,YAAY4f,EAAE,EAAE,OAAO,EAAE1f,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAOC,EAAEC,EAAE,WAAWA,EAAE,mBAAmBrB,EAAEoB,CAAC,CAAC,EAAED,EAAE,QAAQC,IAAI3B,EAAE,MAAM,EAAEH,EAAE6B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAIxB,EAAE,MAAM,CAAC,EAAE,EAAE,QAAQA,GAAGH,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYU,EAAE,CAAC,OAAOA,EAAEmhB,GAAGnhB,CAAC,EAAE,IAAI,QAAQ,CAACV,EAAE,IAAI,CAAC,IAAIG,EAAE,KAAK,UAAU,KAAKihB,GAAGC,EAAE,EAAElhB,EAAE,gBAAgB,IAAIshB,GAAGthB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIwB,EAAExB,EAAE,OAAOyB,EAAED,EAAE,YAAY4f,GAAG,WAAW,EAAE1f,EAAED,EAAE,YAAY2f,EAAE,EAAEzf,EAAED,EAAE,IAAInB,CAAC,EAAE,EAAEoB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAE,EAAE,IAAI,MAAM,gCAAgCjB,kBAAkB,CAAC,EAAE,CAAC,IAAI8B,EAAEX,EAAE,OAAOnB,CAAC,EAAE,EAAE,IAAI,CAAC,EAAEiB,EAAE,YAAY2f,GAAG,WAAW,EAAE,IAAI3e,EAAE,EAAE,YAAY2e,EAAE,EAAE,OAAO5gB,CAAC,EAAEiC,EAAE,UAAU,IAAI3C,EAAE8B,EAAE,OAAO,kBAAkB,EAAEa,EAAE,QAAQC,GAAG,EAAEd,EAAE,KAAK,CAAC,EAAEU,EAAE,UAAU,EAAEA,EAAE,QAAQE,IAAI,EAAE,EAAEf,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAE,QAAQU,IAAIb,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKD,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,EAAExB,EAAE,QAAQwB,GAAG,EAAExB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM4hB,GAAG,IAAIC,GAAG,sBAAsBC,GAAG,OAAOC,GAAG,iBAAiBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,iBAAiB,SAASC,GAAGxiB,EAAE,CAAC,MAAM,CAAC,KAAK,CAACkiB,GAAGliB,EAAEmiB,EAAE,EAAE,KAAKF,EAAE,EAAE,SAAS,CAACC,GAAGliB,EAAEoiB,EAAE,EAAE,KAAKH,EAAE,EAAE,YAAY,CAACC,GAAGliB,EAAEqiB,EAAE,EAAE,KAAKJ,EAAE,EAAE,WAAW,CAACC,GAAGliB,EAAEsiB,EAAE,EAAE,KAAKL,EAAE,EAAE,cAAc,CAACC,GAAGliB,EAAEuiB,EAAE,EAAE,KAAKN,EAAE,CAAC,CAAC,CAAC,SAASQ,GAAGziB,EAAE,CAAC,QAAQ,KAAK,OAAO,OAAOA,CAAC,EAAE,OAAO,aAAa,WAAW,CAAC,CAAC,CAAC,SAAS0iB,GAAG1iB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMiiB,EAAE,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uBAAuBjiB,GAAG,EAAE,OAAO,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,KAAKiiB,EAAE,CAAC,CAAC,SAASU,GAAG3iB,EAAE,CAAC,OAAOA,EAAE,WAAW4iB,GAAG,UAAU,EAAE5iB,EAAE,MAAM4iB,GAAG,WAAW,MAAM,EAAE5iB,CAAC,CAAC,IAAI4iB,GAAG,KAAK,CAAC,YAAYhiB,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,QAAQ,YAAY,GAAG,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,MAAM,IAAI,MAAM,yDAAyD,EAAE,GAAG,KAAK,GAAG,OAAO,aAAagP,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,UAAUA,EAAE,KAAK,KAAK4hB,GAAG,KAAK,SAAS,CAAC,CAAC,MAAM,KAAK5hB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,CAAC,IAAIV,EAAE,KAAK,UAAUU,EAAE,aAAa,EAAE,EAAE,KAAK,UAAUA,EAAE,WAAW,EAAEP,EAAEugB,GAAGhgB,CAAC,EAAE,GAAG,CAAC,KAAK,GAAG,QAAQ,KAAK,KAAK,KAAK,KAAK,UAAUP,CAAC,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,SAASH,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAY,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAWmgB,GAAGzf,EAAE,UAAU,CAAC,EAAE,IAAIiB,EAAE,CAAC,OAAOjB,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,UAAUA,EAAE,WAAW,KAAKA,EAAE,UAAU,OAAO,oBAAoBA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,OAAO,iBAAiBA,EAAE,kBAAkB,KAAKA,EAAE,iBAAiB,OAAO,qBAAqBA,EAAE,sBAAsB,KAAKA,EAAE,qBAAqB,OAAO,eAAeA,EAAE,gBAAgB,KAAKA,EAAE,eAAe,MAAM,EAAE,OAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,cAAc,KAAK,UAAUiB,CAAC,CAAC,EAAE,CAAC,mBAAmBxB,CAAC,CAAC,OAAOwB,EAAN,CAAS,MAAM4gB,GAAG,KAAK,IAAI,EAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkHpiB,EAAE,wCAAwCA,EAAE,qCAAqCA,EAAE,kBAAkB,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIO,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY,EAAE,GAAGA,EAAE,oBAAoB,OAAO,MAAM,IAAI,MAAM,2EAA2E,EAAE,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB,EAAEA,EAAE,cAAc,EAAE,IAAIG,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB,EAAEH,EAAE,YAAYG,EAAE,IAAIwB,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa,EAAE,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,KAAK,MAAMF,CAAC,EAAE3B,EAAE,OAAO6B,EAAE,OAAO7B,EAAE,YAAY6B,EAAE,YAAY7B,EAAE,YAAY6B,EAAE,YAAYA,EAAE,WAAW,OAAO7B,EAAE,UAAU6B,EAAE,WAAWA,EAAE,qBAAqB,OAAO7B,EAAE,oBAAoB6B,EAAE,qBAAqBA,EAAE,kBAAkB,OAAO7B,EAAE,iBAAiB6B,EAAE,kBAAkBA,EAAE,sBAAsB,OAAO7B,EAAE,qBAAqB6B,EAAE,sBAAsBA,EAAE,gBAAgB,OAAO7B,EAAE,eAAe6B,EAAE,eAAe,CAAC,IAAID,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB,EAAE,OAAO5B,EAAE,WAAWogB,GAAGxe,CAAC,EAAE5B,CAAC,CAAC,EAAE0iB,GAAG,WAAW,kBAAkB,IAAIC,GAAG7iB,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW4iB,GAAG,UAAU,EAAEE,GAAG9iB,EAAE,MAAM4iB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK3B,GAAG,mBAAmB4B,EAAE,EAAE5B,GAAG,mBAAmB4B,EAAE,EAAE,SAASC,GAAG9iB,EAAE,CAAC,OAAO,IAAI4iB,GAAG5iB,CAAC,CAAC,CAAC,IAAI+iB,GAAG,KAAK,CAAC,aAAa,CAACtL,EAAE7lB,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI,0CAA0C,EAAE6lB,EAAE,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,IAAI,yDAAyD,EAAE,KAAK,GAAG,OAAO,YAAY,CAAC,MAAM,YAAY,CAAC,IAAI7W,EAAE,CAAC,EAAEV,EAAEgiB,GAAGD,GAAG,EAAEA,GAAGE,GAAG,QAAQ9hB,EAAE,EAAEA,EAAE,KAAK,GAAG,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAE,KAAK,GAAG,IAAIxB,CAAC,EAAE,GAAGwB,EAAE,WAAW3B,CAAC,GAAG2B,EAAE,SAAS,CAAC,EAAE,CAAC,IAAIC,EAAE4gB,GAAG7gB,CAAC,EAAEjB,EAAEkB,GAAG,KAAK,MAAM,KAAK,GAAG,QAAQD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,CAAC,CAAC,MAAM,YAAYA,EAAE,CAACA,EAAE+hB,GAAG/hB,CAAC,EAAE,IAAIV,EAAEsiB,GAAG5hB,CAAC,EAAE,GAAG,KAAK,GAAG,QAAQV,EAAE,IAAI,GAAG,KAAK,MAAM,IAAI,MAAM,8BAA8BU,IAAI,EAAE,IAAI,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQV,EAAE,IAAI,CAAC,EAAE,OAAOuiB,GAAGviB,CAAC,EAAE,CAAC,CAAC,EAAM8iB,GAAG,MAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,SAAS,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,gBAAgBriB,EAAEV,EAAE,CAACuX,EAAE7W,GAAG,KAAK,IAAI,uCAAuC,EAAEA,EAAE,SAASoiB,EAAE,IAAIpiB,EAAEA,EAAE,MAAM,EAAEA,EAAE,QAAQoiB,EAAE,CAAC,GAAGvL,EAAE7W,EAAE,OAAO,EAAE,IAAI,qCAAqC,EAAE,IAAI,EAAEqiB,GAAG,YAAY,EAAExL,EAAE,EAAE,SAAS7W,IAAI,KAAK,IAAI,2DAA2DA,KAAK,EAAE,EAAE,SAASA,GAAGV,CAAC,CAAC,OAAO,WAAWU,EAAE,CAAC,IAAIV,EAAE+iB,GAAG,YAAY,EAAE,SAASriB,GAAG,GAAGV,GAAG,KAAK,MAAM,IAAI,MAAM,yCAAyCU,IAAI,EAAE,OAAOV,CAAC,CAAC,OAAO,YAAY,CAAC,OAAO,OAAO,KAAK+iB,GAAG,YAAY,EAAE,QAAQ,CAAC,CAAC,EAAE,SAASC,GAAGljB,EAAE,CAAC,GAAGA,EAAE,QAAQgjB,EAAE,IAAI,GAAG,MAAM,IAAI,MAAM,6EAA6EC,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG,EAAE,MAAM,CAAC,OAAOjjB,EAAE,MAAMgjB,EAAE,EAAE,GAAG,KAAKhjB,EAAE,MAAMgjB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeG,GAAGnjB,EAAE,EAAEE,EAAE,GAAG,CAACuX,EAAEzX,IAAI,EAAE,IAAI,wCAAwCA,IAAI,EAAE,IAAII,EAAE6gB,GAAG,gBAAgBjhB,CAAC,EAAEyX,EAAErX,EAAE,OAAO,EAAE,IAAI,kEAAkEJ,IAAI,EAAEyX,EAAErX,EAAE,OAAO,EAAE,IAAI,yCAAyCA,EAAE,wCAAwCJ,IAAI,EAAE,IAAIK,EAAED,EAAE,GAAG,EAAE6gB,GAAG,gBAAgB,CAAC,EAAExJ,EAAE,EAAE,OAAO,EAAE,IAAI,uEAAuE,IAAI,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,yCAAyCrX,EAAE,6CAA6C,IAAI,EAAE,IAAI,EAAE,EAAE,GAAG2B,EAAEmhB,GAAGljB,CAAC,EAAE,OAAOgC,EAAEkhB,GAAGljB,CAAC,EAAE,KAAKiC,EAAEF,IAAImhB,GAAGljB,CAAC,EAAE,OAAO0C,EAAE,MAAMrC,EAAE,KAAK,EAAEH,GAAG+B,GAAG,MAAMghB,GAAG,WAAWlhB,CAAC,EAAE,YAAYC,CAAC,EAAE,IAAIW,EAAE,MAAM,EAAE,KAAKD,CAAC,EAAE,OAAOxC,GAAG,CAAC+B,GAAG,MAAMghB,GAAG,WAAWlhB,CAAC,EAAE,YAAYC,CAAC,EAAEW,EAAE,kBAAkB,CAAC,eAAeygB,IAAI,CAAC,IAAIpjB,EAAEijB,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ/iB,KAAKF,EAAE,CAAC,IAAII,EAAE,MAAM6iB,GAAG,WAAW/iB,CAAC,EAAE,WAAW,EAAE,QAAQG,KAAKD,EAAE,CAAC,IAAI,EAAEF,EAAE8iB,GAAG3iB,EAAE,EAAE,GAAGD,EAAEC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,eAAegjB,GAAGrjB,EAAE,CAAC,IAAI,EAAEkjB,GAAGljB,CAAC,EAAE,OAAOijB,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI,CAAC,CAAC,eAAeK,GAAGtjB,EAAE,EAAE,CAAC,OAAOmjB,GAAGnjB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeujB,GAAGvjB,EAAE,EAAE,CAAC,OAAOmjB,GAAGnjB,EAAE,EAAE,EAAE,CAAC,CAAC,IAAIwjB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,mBAAmB,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,iBAAiB,EAAE,CAAC,MAAM5iB,EAAEV,EAAE,CAAC,OAAO,MAAMU,EAAEV,CAAC,CAAC,CAAC,KAAK,CAAC,OAAO,YAAY,IAAI,CAAC,CAAC,OAAOU,EAAEV,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,kDAAkDA,GAAG,EAAE,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,IAAI,aAAa,KAAK,YAAY,OAAOU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,OAAO,IAAI,YAAYA,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,iBAAiBA,EAAEV,EAAE,CAAC,GAAG,OAAO,QAAQ,aAAa,CAACtO,EAAE,EAAE,QAAQ,sBAAsB,EAAE,CAAC,WAAWgP,EAAEV,CAAC,EAAE,MAAM,CAAC,KAAK,aAAa,KAAKU,CAAC,EAAE,WAAW,IAAI,CAAC,OAAO,YAAY,CAAC,KAAK,KAAK,YAAY,MAAM,KAAK,aAAa,OAAO,CAAC,EAAE,GAAG,CAAC,EAAEV,CAAC,EAAE,KAAK,mBAAmB,KAAK,iBAAiB,GAAG,OAAO,iBAAiB,UAAU,GAAG,CAAC,GAAG,EAAE,SAAS,QAAQ,EAAE,KAAK,OAAO,KAAK,YAAY,CAAC,EAAE,gBAAgB,EAAE,IAAIG,EAAE,KAAK,aAAa,EAAE,KAAK,OAAOA,EAAE,EAAE,KAAK,sBAAsB,KAAK,sBAAsB,KAAK,aAAa,SAAS,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,aAAaO,EAAE,CAAC,OAAOA,aAAa,cAAcA,aAAa,YAAYA,aAAa,YAAYA,aAAa,iBAAiB,CAAC,EAAE,GAAGhP,EAAE,EAAE,IAAI,YAAY,EAAE,CAACA,EAAE,EAAE,YAAY,UAAU,IAAI4xB,EAAE,EAAE,GAAG,CAACP,GAAG,gBAAgBL,GAAG,WAAW,IAAIG,EAAE,CAAC,OAAO/iB,EAAN,CAAS,CAAC,GAAG,CAACijB,GAAG,gBAAgBrB,GAAG,WAAW,IAAII,EAAE,CAAC,OAAOhiB,EAAN,CAAS,CAAC,CAAC,IAAIyjB,GAAG,CAAC,YAAY,IAAI1gB,GAAG,CAAC,EAAE2gB,GAAOC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK3gB,GAAG,EAAE,KAAK,YAAY,IAAI,KAAK,KAAK,WAAW,CAAC,MAAMpC,EAAEV,EAAE,CAAC,OAAOtO,EAAE,EAAE,OAAO,OAAO,KAAKA,EAAE,EAAE,OAAO,MAAMgP,EAAEV,CAAC,GAAGwjB,IAAI,OAAOA,GAAGD,GAAG,YAAY,GAAGC,GAAG9iB,EAAEV,CAAC,EAAE,CAAC,KAAK,CAAC,IAAIU,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,GAAG,IAAIA,EAAE,GAAG,GAAG,CAAC,OAAOA,EAAEV,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,sDAAsDA,GAAG,EAAE,OAAO,KAAK,YAAY,OAAOU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,OAAOU,EAAE,SAAS,EAAE,GAAG,IAAI,KAAK,KAAK,YAAYV,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,KAAK,MAAM,eAAeA,CAAC,GAAG,KAAK,KAAK,MAAM,aAAaA,CAAC,GAAG,KAAK,KAAK,MAAM,aAAaA,CAAC,GAAG,KAAK,KAAK,MAAM,oBAAoBA,CAAC,CAAC,CAAC,EAAEhP,EAAE,EAAE,IAAI,SAAS,GAAG,CAACA,EAAE,EAAE,IAAI,YAAY,GAAGA,EAAE,EAAE,YAAY,OAAO,IAAI+xB,EAAE,EAAE,SAAS90B,GAAGmR,EAAE,EAAE,UAAUE,EAAE,CAAC,OAAO,EAAE,GAAG,UAAU0Z,GAAG5Z,CAAC,EAAE,IAAI7T,GAAG6T,EAAE,EAAEE,CAAC,CAAC,CAAC,SAAS0jB,GAAG5jB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,EAAE,GAAG,CAAC2Y,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmC,GAAG,EAAE,GAAG,IAAI,UAAUzY,EAAE,QAAQ,UAAU,IAAI,UAAUA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUh9B,GAAGwe,EAAEC,CAAC,CAAC,CAAC,IAAItR,GAAEyI,EAAE,CAAC,MAAMosB,EAAE,CAAC,EAAE,SAASC,GAAG7jB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,CAAC,EAAE,OAAO4e,EAAE,UAAUx5B,GAAG8a,CAAC,CAAC,CAAC,IAAIhR,GAAGsI,EAAE,CAAC,OAAOqsB,EAAE,CAAC,EAAE,SAAS3rB,GAAG8H,EAAE,EAAE,GAAG,CAAC,QAAQ,IAAIA,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC+e,GAAG,EAAE,IAAI+E,GAAG,CAAC,OAAOj1B,GAAG,KAAKE,GAAE,MAAMG,GAAG,MAAMgJ,EAAE,EAAEylB,GAAGmG,EAAE,EAAE,SAASryB,IAAK,CAACG,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,CAAC,SAASJ,IAAK,CAACI,EAAE,EAAE,IAAI,QAAQ,EAAE,CAAC,CAAC,SAASb,IAAK,CAACa,EAAE,EAAE,IAAI,+BAA+B,EAAE,EAAE,QAAQ,KAAK,wDAAwD,CAAC,CAAC,SAASpB,GAAGwP,EAAE,CAACpO,EAAE,EAAE,QAAQ,8BAA8B,GAAG,QAAQ,KAAKoO,EAAE,6EAA6E,CAAC,CAAC4d,GAAGptB,EAAE,EAAE,SAASS,IAAK,CAAC2tB,EAAE,iBAAiB,CAAC,CAAC,SAASjtB,IAAI,CAAC,OAAOitB,CAAC,CAAC,SAASzoB,IAAI,CAAC,OAAOyoB,EAAE,OAAO,CAAC,CAAC,SAASxmB,GAAI4H,EAAE,CAAC,OAAO4e,EAAE,QAAQ5e,CAAC,CAAC,CAAC,SAAStC,EAAEsC,EAAE,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,EAAE,CAAC,CAAC,CAAC,SAAShP,GAAGgP,EAAE,CAAC+d,GAAG/d,CAAC,EAAE,QAAQE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,SAAS9L,GAAG4L,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,CAAC,CAAC,CAAC,SAASpC,GAAIoC,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,CAAC,CAAC,CAAC,SAASrF,GAAGqF,EAAE,CAAC,OAAO4e,EAAE,WAAW5e,CAAC,CAAC,CAAC,SAASlH,IAAK,CAAC,OAAO8lB,EAAE,MAAM,CAAC,CAAC,SAAS7rB,IAAK,CAAC,OAAO6rB,EAAE,WAAW,CAAC,SAASnlB,GAAIuG,EAAE,CAAC4e,EAAE,cAAc5e,CAAC,CAAC,CAAC,SAAS1N,GAAI0N,EAAE,CAAC,OAAO4e,EAAE,YAAY5e,CAAC,CAAC,CAAC,SAASzN,GAAIyN,EAAE,CAAC,OAAO4e,EAAE,mBAAmB5e,CAAC,CAAC,CAAC,SAAS/G,GAAG+G,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO0e,EAAE,gBAAgB5e,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASnS,IAAI,CAAC,OAAO6wB,EAAE,OAAO,CAAC,SAAShkB,GAAIoF,EAAE,EAAE,CAACpO,EAAE,EAAE,YAAYoO,EAAE,CAAC,CAAC,CAAC,SAAS+jB,GAAG/jB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUv+B,GAAGggB,CAAC,CAAC,CAAC,IAAInT,EAAEsK,EAAE,CAAC,KAAKusB,EAAE,CAAC,EAAE,SAASC,GAAGhkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,EAAEI,EAAEqf,EAAE,EAAE,IAAI,UAAU,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUr6B,GAAG8b,CAAC,CAAC,CAAC,IAAI5N,GAAG+E,EAAE,CAAC,UAAUwsB,EAAE,CAAC,EAAE,SAASC,GAAGjkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,GAAG,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASE,EAAE,QAAQ,QAAQ,OAAO3N,GAAGyN,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOwe,EAAE,UAAUz1B,GAAGkX,EAAE,CAAC,CAAC,CAAC,IAAInP,GAAGsG,EAAE,CAAC,KAAKysB,EAAE,CAAC,EAAE,SAASC,GAAGlkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUl3B,GAAG2Y,CAAC,CAAC,CAAC,IAAIvJ,EAAEU,EAAE,CAAC,KAAK0sB,EAAE,CAAC,EAAE,SAASC,GAAGnkB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,KAAK,EAAE,GAAG,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU58B,GAAGke,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU9+B,GAAGogB,CAAC,CAAC,CAAC,CAAC,IAAInT,GAAGyK,EAAE,CAAC,KAAK2sB,EAAE,CAAC,EAAE,SAASC,GAAGpkB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU7+B,GAAGmgB,CAAC,CAAC,CAAC,IAAIlT,GAAGwK,EAAE,CAAC,MAAM4sB,EAAE,CAAC,EAAE,SAASC,GAAGrkB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU5+B,GAAGkgB,CAAC,CAAC,CAAC,IAAIjT,GAAGuK,EAAE,CAAC,OAAO6sB,EAAE,CAAC,EAAE,SAASC,GAAGtkB,EAAE,CAACyX,EAAE,MAAM,QAAQzX,CAAC,EAAE,IAAI,4DAA4D,EAAEyX,EAAEzX,EAAE,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE,IAAI,CAACK,EAAE,IAAIof,EAAEpf,EAAE,UAAU,IAAI,MAAM,CAAC,EAAEH,EAAE,EAAE,GAAG,EAAE,QAAQG,GAAG,CAAC,GAAGA,EAAE,QAAQH,EAAE,MAAM,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,EAAE,QAAQG,GAAG,CAAC,GAAG,CAACsX,GAAGtX,EAAE,MAAMH,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,IAAIE,EAAE,EAAE,OAAOwe,EAAE,UAAUt+B,GAAG8f,CAAC,CAAC,CAAC,IAAIjT,GAAGqK,EAAE,CAAC,MAAM8sB,EAAE,CAAC,EAAE,SAASC,GAAGvkB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUr+B,GAAG8f,EAAEwB,CAAC,CAAC,CAAC,IAAIzU,GAAGoK,EAAE,CAAC,KAAK+sB,EAAE,CAAC,EAAE,SAASC,GAAGxkB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUp+B,GAAG6f,EAAEwB,CAAC,CAAC,CAAC,IAAIxU,GAAGmK,EAAE,CAAC,KAAKgtB,EAAE,CAAC,EAAE,SAASC,GAAGzkB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUn+B,GAAG,EAAE4f,CAAC,CAAC,CAAC,IAAI/S,GAAGkK,EAAE,CAAC,QAAQitB,EAAE,CAAC,EAAE,SAASC,GAAG1kB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUl+B,GAAG,EAAE2f,CAAC,CAAC,CAAC,IAAI9S,GAAGiK,EAAE,CAAC,QAAQktB,EAAE,CAAC,EAAE,SAASC,GAAG3kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUj+B,GAAGuf,CAAC,CAAC,CAAC,IAAI1S,GAAGgK,EAAE,CAAC,MAAMmtB,EAAE,CAAC,EAAE,SAASC,GAAG5kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUh+B,GAAGsf,CAAC,CAAC,CAAC,IAAIzS,GAAG+J,EAAE,CAAC,OAAOotB,EAAE,CAAC,EAAE,SAASC,GAAG7kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU/9B,GAAGqf,CAAC,CAAC,CAAC,IAAIxS,GAAG8J,EAAE,CAAC,MAAMqtB,EAAE,CAAC,EAAE,SAASC,GAAG9kB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,EAAEI,EAAEqf,EAAE,EAAE,IAAI,OAAO,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU99B,GAAGuf,CAAC,CAAC,CAAC,IAAI1S,GAAG6J,EAAE,CAAC,OAAOstB,EAAE,CAAC,EAAE,SAASC,GAAG/kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU79B,GAAGmf,CAAC,CAAC,CAAC,IAAItS,GAAG4J,EAAE,CAAC,OAAOutB,EAAE,CAAC,EAAE,SAASC,GAAGhlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,IAAI,EAAEL,EAAE,GAAG+B,EAAE,CAAC,GAAG,EAAE,CAAC,EAAEC,EAAEijB,GAAG5kB,CAAC,EAAE,OAAO6kB,GAAGllB,EAAE+B,EAAE7B,EAAE,EAAEE,EAAE,KAAK,KAAK4B,CAAC,CAAC,CAAC,SAASmjB,GAAGnlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,eAAe,CAAC,GAAG,CAAC0B,EAAEC,CAAC,EAAEojB,GAAG,CAAC,EAAEnjB,EAAE,GAAG,IAAI,eAAeA,EAAE,CAACF,EAAEC,EAAEhC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,gBAAgBiC,EAAE,CAACF,EAAEC,EAAEhC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOklB,GAAGllB,EAAEiC,EAAE/B,EAAEE,EAAEC,EAAE,EAAE,GAAG,CAAC,CAAC,CAAC,SAASglB,GAAGrlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,QAAQ,CAAC,GAAG,CAAC0B,EAAEC,EAAEC,CAAC,EAAEqjB,GAAG,CAAC,EAAE5iB,EAAEC,EAAE,GAAG,IAAI,QAAQA,EAAE,eAAeD,EAAE,CAACX,EAAEC,EAAEC,EAAEjC,EAAE,GAAGA,EAAE,EAAE,UAAU,IAAI,QAAQ2C,EAAE,gBAAgBD,EAAE,CAACX,EAAEC,EAAEC,EAAEjC,EAAE,GAAGA,EAAE,EAAE,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOulB,GAAGvlB,EAAE0C,EAAExC,EAAEE,EAAEC,EAAE,GAAGsC,EAAE,CAAC,CAAC,CAAC,SAASuiB,GAAGllB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,eAAe,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,EAAE,EAAE,GAAGZ,IAAI,eAAe,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE3C,UAAU+B,IAAI,gBAAgB,CAACC,EAAEW,EAAEV,EAAES,CAAC,EAAE1C,MAAO,OAAM,IAAI,MAAM,sBAAsB+B,GAAG,EAAE,GAAG,CAACa,EAAEC,EAAE,CAACC,CAAC,EAAE,EAAE,CAACkB,EAAE,CAAC,EAAEohB,GAAGllB,CAAC,EAAE,CAACoH,EAAE,CAAC,EAAE8d,GAAGhlB,CAAC,EAAEqE,EAAE+gB,GAAG5iB,EAAE0E,CAAC,EAAE5C,EAAE8gB,GAAG3iB,EAAE,CAAC,EAAE,CAAC,QAAQ8B,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAE4gB,GAAGplB,EAAE4B,EAAES,EAAEsB,EAAE,EAAES,EAAEC,EAAE,EAAE3C,CAAC,EAAEgD,EAAE,EAAEjC,EAAEH,EAAEG,EAAEyE,EAAE,OAAOxF,IAAI,gBAAgBwF,EAAE,CAACvF,EAAE+C,EAAEH,EAAEC,CAAC,EAAE9C,IAAI,iBAAiBwF,EAAE,CAACvF,EAAE4C,EAAEC,EAAEE,CAAC,GAAG,CAAC,UAAU/C,EAAE,WAAWD,EAAE,SAASE,EAAE,QAAQS,EAAE,WAAWC,EAAE,UAAUiC,EAAE,SAASC,EAAE,YAAYE,EAAE,QAAQJ,EAAE,aAAaX,EAAE,YAAY,EAAE,aAAapB,EAAE,YAAYC,EAAE,sBAAsB4B,EAAE,qBAAqBC,EAAE,eAAe4C,EAAE,cAAc,EAAE,QAAQtH,EAAE,SAASuH,EAAE,YAAY,CAAC,CAAC,CAAC,SAASge,GAAGvlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,eAAe0B,EAAE,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE,EAAE,GAAG,IAAI,eAAe,CAACZ,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE5C,UAAU,IAAI,gBAAgB,CAACgC,EAAEY,EAAEX,EAAES,EAAEC,CAAC,EAAE3C,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,GAAG,CAAC6C,EAAEC,EAAEkB,EAAE,CAAC,CAAC,EAAE,EAAE,CAACsD,EAAE,EAAE7C,CAAC,EAAE6gB,GAAGplB,CAAC,EAAE,CAACwE,EAAEC,EAAEC,CAAC,EAAE0gB,GAAGllB,CAAC,EAAEyE,EAAE2gB,GAAG3iB,EAAE6B,CAAC,EAAEK,EAAEygB,GAAG1iB,EAAE6B,CAAC,EAAE4C,EAAEie,GAAGxhB,EAAEY,CAAC,EAAE,CAAC,QAAQI,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAEugB,GAAGrlB,EAAE4B,EAAES,EAAEC,EAAE2E,EAAE,EAAE7C,EAAEI,EAAEE,EAAEwC,EAAExF,CAAC,EAAEqD,EAAE,EAAE,EAAExC,EAAE,EAAEyC,EAAE,OAAO,IAAI,gBAAgBA,EAAE,CAACrD,EAAEoD,EAAEH,EAAEC,EAAEC,CAAC,EAAE,IAAI,iBAAiBE,EAAE,CAACrD,EAAEiD,EAAEC,EAAEC,EAAEC,CAAC,GAAG,CAAC,UAAUpD,EAAE,WAAW,EAAE,QAAQC,EAAE,SAASS,EAAE,QAAQC,EAAE,WAAWC,EAAE,SAASqC,EAAE,UAAUC,EAAE,SAASC,EAAE,YAAYC,EAAE,QAAQJ,EAAE,YAAYsC,EAAE,aAAa,EAAE,YAAY7C,EAAE,YAAY5B,EAAE,aAAaC,EAAE,YAAYkB,EAAE,qBAAqBa,EAAE,sBAAsBE,EAAE,qBAAqBwC,EAAE,cAAc7C,EAAE,eAAeC,EAAE,cAAcC,EAAE,QAAQ5E,EAAE,SAASqF,EAAE,YAAY,CAAC,CAAC,CAAC,SAASsgB,GAAG3lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAEwlB,GAAG5lB,EAAE,EAAEE,CAAC,GAAG,IAAI,EAAEF,EAAE,GAAG,EAAEA,EAAE,GAAG+B,EAAE8jB,IAAI,EAAE,EAAE,EAAEzlB,GAAGF,EAAE,EAAEG,CAAC,EAAE2B,EAAE6jB,IAAI,EAAE,EAAE,EAAEzlB,GAAGF,EAAE,EAAEG,CAAC,EAAE,MAAM,CAAC0B,EAAEC,CAAC,CAAC,CAAC,SAAS8jB,GAAG9lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAEulB,GAAG5lB,EAAE,EAAE,GAAGI,EAAE,EAAE,GAAG,IAAI,EAAE,CAAC,EAAE,EAAE,EAAEF,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAEA,IAAI/B,EAAE+B,GAAG,EAAE1B,GAAG,EAAE0B,KAAK,EAAEA,GAAG8jB,IAAI7lB,EAAE+B,GAAG,EAAEA,GAAG,EAAE1B,GAAGD,EAAE2B,GAAG,EAAE,CAAC,GAAG,OAAO,CAAC,CAAC,SAAS6jB,GAAG5lB,EAAE,EAAEE,EAAEE,EAAE,EAAE,CAAC,IAAIC,EAAEmlB,GAAG,EAAEplB,CAAC,EAAE,OAAO,KAAK,OAAOJ,EAAE,IAAIE,EAAE,GAAGA,EAAEG,GAAG,CAAC,CAAC,CAAC,SAAS+kB,GAAGplB,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,EAAE,SAAS,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEA,CAAC,CAAC,SAASslB,GAAGtlB,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,CAAC,CAAC,SAASwlB,GAAGxlB,EAAE,EAAE,CAAC,OAAO,GAAG,EAAEA,EAAEA,GAAGA,EAAE,IAAI,EAAE,EAAE,CAAC,SAASylB,GAAGzlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAES,EAAEC,EAAE,GAAG,OAAO3C,GAAG,SAAS,CAACiC,EAAE,CAAC,IAAIjC,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAI6C,EAAE8iB,GAAG,CAAC,EAAEzlB,CAAC,EAAE,EAAEE,EAAEJ,EAAE+B,CAAC,EAAEW,EAAEG,EAAE,GAAGF,EAAEE,EAAE,EAAE,SAAS7C,IAAI,OAAO,CAAC0C,EAAE,KAAK,KAAK,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,KAAKzC,EAAEG,CAAC,EAAE,IAAIuC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAE,CAAC,EAAEyC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAEH,CAAC,EAAE4C,EAAE,KAAK,MAAMF,EAAE,CAAC,EAAEoB,EAAEpB,EAAEE,EAAE,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEyE,EAAEzE,EAAE,EAAEZ,EAAE,CAAC,IAAIa,EAAE,OAAOkB,EAAE,KAAK,EAAE,MAAMsD,EAAE,KAAK,MAAM,CAAC,SAAStH,IAAI,QAAQiC,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,KAAK,OAAO,EAAES,EAAE,KAAK,MAAM,EAAE,EAAE,GAAGtC,CAAC,EAAEuC,EAAE,KAAK,MAAMzC,EAAE,EAAE,GAAGG,CAAC,UAAU,OAAOL,GAAG,SAAS,CAAC,IAAI4C,EAAEZ,IAAI,eAAehC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAG6C,EAAEb,IAAI,eAAehC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAG8C,EAAEd,IAAI,eAAehC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGgE,EAAEhC,IAAI,eAAehC,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGiC,EAAE,CAAC,IAAIW,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMkB,EAAE,KAAKpB,IAAI,GAAGC,IAAI,GAAGC,IAAI,GAAGkB,IAAI,EAAE,QAAQ,UAAU,EAAEtB,EAAEmjB,IAAI,EAAE,EAAEjjB,EAAEC,GAAGzC,EAAE,EAAE2B,CAAC,EAAEY,EAAEkjB,IAAI3lB,EAAE,EAAE4C,EAAEkB,GAAG3D,EAAE,EAAE0B,CAAC,CAAC,KAAM,OAAM,MAAM,8BAA8B/B,GAAG,EAAE,MAAM,CAAC,QAAQiC,EAAE,UAAUS,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS+iB,GAAG1lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAEC,EAAEC,EAAEC,EAAE,GAAG9C,IAAI,UAAUA,EAAE,GAAG,OAAOA,GAAG,SAAS,CAAC2C,EAAE,CAAC,IAAI3C,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,MAAMA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAIiE,EAAE6hB,GAAG,CAAC,EAAE5lB,EAAEE,EAAE,CAAC,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,EAAE,CAAC,EAAEL,EAAE0C,CAAC,EAAEE,EAAEqB,EAAE,GAAGpB,EAAEoB,EAAE,GAAGnB,EAAEmB,EAAE,EAAE,SAASjE,IAAI,OAAO,CAAC4C,EAAE,KAAK,KAAK,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,KAAK3C,EAAE,CAAC,EAAE4C,EAAE,KAAK,KAAK1C,EAAE,CAAC,EAAE,IAAI4D,GAAGpB,EAAE,GAAGvC,EAAE0B,EAAE,EAAE,GAAGc,EAAE,GAAG,EAAEb,EAAE9B,EAAEoH,GAAGxE,EAAE,GAAG,EAAEb,EAAE7B,EAAE,EAAE,KAAK,MAAM4D,EAAE,CAAC,EAAES,EAAET,EAAE,EAAEU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAED,EAAEE,EAAE,KAAK,MAAM0C,EAAE,CAAC,EAAEzC,EAAEyC,EAAE1C,EAAEjC,EAAE,CAAC,IAAI+B,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMC,EAAE,MAAM,EAAE,KAAKJ,EAAE,KAAK,MAAM,CAAC,KAAM,OAAM,MAAM,8BAA8BzE,GAAG,EAAE,MAAM,CAAC,QAAQ2C,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS+iB,GAAG7lB,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,OAAO,KAAK,MAAMA,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,IAAI,OAAO,OAAO,KAAK,KAAKA,CAAC,EAAE,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,wBAAwB,GAAG,CAAC,CAAC,CAAC,SAAS+lB,GAAG/lB,EAAE,CAAC,GAAG,CAAC,EAAEE,EAAEE,CAAC,EAAEglB,GAAGplB,CAAC,EAAE,OAAO,IAAI,GAAGE,IAAI,GAAGE,IAAI,CAAC,CAAC,SAAS4lB,GAAGhmB,EAAE,EAAE,CAAC,OAAO+lB,GAAG/lB,CAAC,GAAG+lB,GAAG,CAAC,CAAC,CAAC,SAASE,GAAGjmB,EAAE,CAAC,OAAOolB,GAAGplB,CAAC,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,SAASilB,GAAGjlB,EAAE,CAAC,GAAGA,IAAI,OAAO,MAAM,eAAe,GAAGA,IAAI,OAAO,MAAM,gBAAgB,MAAM,IAAI,MAAM,sBAAsBA,GAAG,CAAC,CAAC,SAASkmB,GAAGlmB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAO,GAAG,SAAS,MAAM,MAAM,YAAYF,wDAAwDE,iBAAiB,IAAI,EAAE,GAAG,OAAO,GAAG,SAASuX,EAAEM,GAAG,CAAC,EAAE,IAAI,YAAY/X,wDAAwDE,iBAAiB,IAAI,UAAU,OAAO,GAAG,SAAS,EAAE,QAAQE,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACoX,EAAEM,GAAG1X,CAAC,EAAE,IAAI,YAAYL,wDAAwDE,iBAAiBG,IAAI,CAAC,CAAC,CAAC,CAAC,MAAO,OAAM,MAAM,YAAYL,iCAAiC,GAAG,CAAC,CAAC,CAAC,SAASmmB,GAAGnmB,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUp1B,GAAG,EAAE6W,CAAC,CAAC,CAAC,IAAI3G,EAAElC,EAAE,CAAC,SAAS2uB,EAAE,CAAC,EAAE,SAASC,GAAGpmB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,UAAU,SAAS,EAAE,EAAE,EAAEyX,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE,IAAI6B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,OAAO,EAAEmkB,GAAG,UAAU9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEic,EAAE,UAAU59B,GAAGihB,EAAES,CAAC,EAAE,OAAOC,EAAE5T,GAAE4T,EAAE,EAAE,KAAK,EAAEX,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI9U,GAAG2J,EAAE,CAAC,SAAS4uB,EAAE,CAAC,EAAE,SAASC,GAAGrmB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,YAAY,SAAS,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE0V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEA,EAAE,OAAOvX,GAAG,UAAUA,EAAE,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,GAAG,EAAE,IAAI,oDAAoDA,IAAI,EAAEgmB,GAAG,YAAY9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEic,EAAE,UAAU39B,GAAGghB,EAAES,CAAC,EAAE,OAAOC,EAAE5T,GAAE4T,EAAEZ,EAAE,KAAK,EAAEC,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI7U,GAAG0J,EAAE,CAAC,WAAW6uB,EAAE,CAAC,EAAE,SAASC,GAAGtmB,EAAE,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,EAAE,IAAI,oCAAoC,EAAE,IAAIE,EAAEwf,GAAG1f,EAAE,UAAU,SAAS,mBAAmB,EAAE,GAAGE,EAAE,GAAG,QAAQ,aAAaA,EAAE,QAAQ,GAAG,CAAC,GAAG,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM;AAAA,uBACryxD,EAAE,SAAS,CAAC,CAAC,EAAEA,EAAE,SAAS,EAAE,OAAOhR,GAAGgR,EAAE,EAAE,EAAE,IAAIE,EAAEF,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAU38B,GAAGme,EAAEC,CAAC,CAAC,CAAC,IAAIjR,GAAGoI,EAAE,CAAC,QAAQ8uB,EAAE,CAAC,EAAE,SAASC,GAAGvmB,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE,EAAEyf,EAAE,EAAE,IAAI,QAAQ,EAAE,CAACpf,EAAE,CAAC,EAAE4d,GAAG5d,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE0B,EAAE,CAAC,WAAW7B,EAAE,WAAWE,CAAC,EAAE,OAAOwe,EAAE,UAAUv9B,GAAG,EAAE0gB,CAAC,CAAC,CAAC,IAAIpM,GAAG6B,EAAE,CAAC,QAAQ+uB,EAAE,CAAC,EAAE,SAASC,GAAGxmB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUr0B,GAAG2V,CAAC,CAAC,CAAC,IAAIhF,GAAG1D,EAAE,CAAC,SAASgvB,EAAE,CAAC,EAAE,SAASC,GAAGzmB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAKF,CAAC,EAAE,OAAO0e,EAAE,UAAUj0B,GAAG0V,EAAE,CAAC,CAAC,CAAC,IAAI9E,GAAG/D,EAAE,CAAC,OAAOivB,EAAE,CAAC,EAAE,SAASC,GAAG1mB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU3yB,GAAGiU,CAAC,CAAC,CAAC,IAAIlD,GAAGxF,EAAE,CAAC,MAAMkvB,EAAE,CAAC,EAAE,SAASC,GAAG3mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,aAAa,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,aAAa,eAAe,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,eAAe,EAAE+B,EAAEwd,EAAErf,EAAE,OAAO,eAAe,EAAEsC,EAAE+c,EAAEpf,EAAE,IAAI,eAAe,EAAEsC,EAAE8c,EAAE,EAAE,IAAI,eAAe,EAAE7c,EAAExT,GAAG,CAAC6S,EAAEU,CAAC,EAAE,CAAC,EAAEE,EAAElN,GAAGiN,EAAEb,CAAC,EAAEe,EAAE5V,EAAE2V,EAAEb,CAAC,EAAEgC,EAAElB,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEwE,EAAE,CAACtD,EAAE,CAAC,EAAE,EAAEzI,GAAGuH,EAAE,CAAC,EAAE,CAAC,EAAEwE,CAAC,EAAE7C,EAAElJ,GAAGuH,EAAE,CAAC,EAAE,CAAC,EAAEwE,CAAC,EAAE5C,EAAEnJ,GAAGuH,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEwE,CAAC,EAAE3C,EAAEpJ,GAAGuH,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEwE,CAAC,EAAE1C,EAAE1X,EAAE4J,EAAEoE,GAAG,CAAC,EAAE8B,GAAGyH,CAAC,CAAC,EAAE3N,EAAE4L,EAAExH,GAAGhO,EAAE,EAAEwX,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE/N,EAAEkG,GAAG4H,CAAC,EAAE1J,GAAGyJ,CAAC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI5W,GAAGuJ,EAAE,CAAC,eAAemvB,EAAE,CAAC,EAAE,SAASC,GAAG5mB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,gBAAgB,EAAEK,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAID,EAAEC,CAAC,EAAEyV,EAAErX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,iBAAiBA,EAAE,+CAA+C,EAAE,QAAQ,EAAEqX,EAAEvX,EAAE,SAAS,EAAE,OAAO,IAAI,mBAAmBA,EAAE,oDAAoD,EAAE,QAAQ,EAAEuX,EAAErX,EAAE,MAAM,GAAGC,IAAI,EAAE,IAAI,yBAAyBD,EAAE,MAAM,wEAAwE,EAAE,KAAK,KAAK,SAASC,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAMF,CAAC,EAAE,OAAO0e,EAAE,UAAUt9B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIgN,GAAGkJ,EAAE,CAAC,gBAAgBovB,EAAE,CAAC,EAAE,SAASC,GAAG7mB,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAE,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,SAAS8mB,GAAG9mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,MAAM,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAEtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE1V,EAAE,OAAOC,EAAE,KAAK,IAAI,8EAA8E,EAAEyV,EAAE/U,GAAG,MAAMX,EAAE,OAAOW,EAAE,KAAK,IAAI,4EAA4E,EAAE+U,EAAExV,GAAG,MAAMF,EAAE,OAAOE,EAAE,KAAK,IAAI,2EAA2E,EAAE,IAAIW,EAAE,CAAC,EAAEikB,GAAG,CAAC,EAAE,MAAM5kB,EAAE,OAAOS,EAAE,KAAKX,EAAE,SAASC,CAAC,EAAEa,EAAE,CAAC,gBAAgB,CAAC,EAAEC,EAAE8b,EAAE,UAAUn6B,GAAGme,EAAEC,CAAC,EAAE,OAAOnJ,EAAEoJ,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI5U,GAAGsJ,EAAE,CAAC,WAAWsvB,EAAE,CAAC,EAAE,SAASC,GAAG/mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI9T,GAAGqJ,EAAE,CAAC,aAAauvB,EAAE,CAAC,EAAE,SAASC,GAAGhnB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI7T,GAAGoJ,EAAE,CAAC,aAAawvB,EAAE,CAAC,EAAE,SAASC,GAAGjnB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI5T,GAAGmJ,EAAE,CAAC,aAAayvB,EAAE,CAAC,EAAE,SAASC,GAAGlnB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,UAAU,EAAEK,EAAEof,EAAE,EAAE,UAAU,UAAU,EAAEhI,EAAErX,EAAE,QAAQ,QAAQ,IAAI,yDAAyDA,EAAE,OAAO,EAAEqX,EAAEvX,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAEuX,EAAEpX,EAAE,OAAOD,EAAE,MAAMC,EAAE,OAAO,EAAE,IAAI,gGAAgGD,EAAE,yBAAyBC,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAED,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,KAAKH,CAAC,EAAE,OAAO0e,EAAE,UAAUr9B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIgN,GAAGiJ,EAAE,CAAC,UAAU0vB,EAAE,CAAC,EAAE,SAASC,GAAGnnB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,gBAAgB,OAAO,EAAEI,EAAEqf,EAAE,EAAE,KAAK,gBAAgB,OAAO,EAAE,GAAGvf,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oEAAoEA,EAAE,MAAM,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,GAAGH,EAAE,GAAGE,CAAC,EAAE,OAAOwe,EAAE,UAAUp9B,GAAG6e,CAAC,CAAC,CAAC,IAAI5R,GAAG+I,EAAE,CAAC,eAAe2vB,EAAE,CAAC,EAAE,SAASC,GAAGpnB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,cAAc,GAAG,EAAEI,EAAEF,EAAE,MAAM,GAAG0Z,GAAG,CAAC,EAAE,EAAE,OAAO1Z,EAAE,KAAK,MAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,CAAC,IAAI,EAAEA,EAAE,MAAM,MAAM,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,CAAC,EAAEA,EAAExG,EAAEwG,EAAE,CAAC,CAAC,CAAC,IAAIG,EAAEH,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,OAAO,EAAE,GAAG,EAAE,IAAI,GAAGG,EAAE,KAAK,EAAE,GAAG,EAAE,GAAG,UAAUH,EAAE,MAAM,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmBE,8BAA8B,KAAK,EAAE,GAAG,EAAE,IAAI,CAAC,EAAEsC,IAAI,EAAE,EAAEA,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG,CAAC,EAAE,SAAS,EAAE,OAAOxT,GAAGgR,CAAC,EAAE,IAAI6B,EAAE,CAAC,EAAE7B,CAAC,EAAE8B,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO4c,EAAE,UAAUxyB,GAAG2V,EAAEC,CAAC,CAAC,CAAC,IAAItT,GAAG8I,EAAE,CAAC,aAAa4vB,EAAE,CAAC,EAAE,SAASC,GAAGrnB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU/8B,GAAGqe,CAAC,CAAC,CAAC,IAAIlR,GAAGwI,EAAE,CAAC,MAAM6vB,EAAE,CAAC,EAAE,SAASh1B,GAAG2N,EAAE,EAAEE,EAAE,CAAC0Z,GAAG5Z,CAAC,EAAE,IAAII,EAAE,CAAC,MAAMJ,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,OAAO0e,EAAE,UAAUx6B,GAAG,CAAC,EAAEgc,CAAC,CAAC,CAAC,SAASknB,GAAGtnB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,aAAa,EAAE,GAAGyX,EAAE,GAAGvX,EAAE,IAAI,uBAAuB,yCAAyCA,KAAK,EAAE,IAAIA,EAAE,OAAO7N,GAAG+N,EAAE,MAAM,EAAEA,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAaF,CAAC,EAAE,OAAO0e,EAAE,UAAU98B,GAAGue,EAAE,CAAC,CAAC,CAAC,IAAIpR,GAAGuI,EAAE,CAAC,aAAa8vB,EAAE,CAAC,EAAE,SAASC,GAAGvnB,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAI3Q,GAAGmI,EAAE,CAAC,UAAU+vB,EAAE,CAAC,EAAE,SAASC,GAAGxnB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAI1Q,GAAGkI,EAAE,CAAC,UAAUgwB,EAAE,CAAC,EAAE,SAASC,GAAGznB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAIzQ,GAAGiI,EAAE,CAAC,UAAUiwB,EAAE,CAAC,EAAE,SAASC,GAAG1nB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAIxQ,GAAGgI,EAAE,CAAC,UAAUkwB,EAAE,CAAC,EAAE,SAASC,GAAG3nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,SAAS,SAAS,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,SAAS,SAAS,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEkkB,GAAG,SAAS9lB,EAAE,CAAC,EAAE,IAAIuC,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwV,EAAE9U,IAAIX,EAAE,MAAM,GAAG,IAAI,oCAAoCW,wCAAwCX,EAAE,MAAM,KAAK,EAAEyV,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAEuX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAI0C,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ3C,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAE8b,EAAE,UAAU18B,GAAG0gB,EAAEC,CAAC,EAAE,OAAOH,EAAEhJ,EAAEoJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAInT,GAAG6H,EAAE,CAAC,QAAQmwB,EAAE,CAAC,EAAE,SAASC,GAAG5nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,QAAQ,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,QAAQ,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEkkB,GAAG,SAAS9lB,EAAE,CAAC,EAAEqX,EAAExV,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAEyV,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,oEAAoEA,mBAAmB,IAAI,EAAEuX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,kDAAkD,EAAEuX,EAAEpX,IAAI,MAAM,IAAI,sCAAsCA,wCAAwC,EAAE,IAAIsC,EAAEjJ,EAAEsI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAElJ,EAAEuI,EAAE,CAACA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEgC,EAAEtU,GAAGiT,EAAED,EAAE,CAAC,EAAEzC,CAAC,EAAEE,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsC,EAAEhJ,EAAEuK,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEvK,EAAEuK,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,IAAIvU,GAAG8H,EAAE,CAAC,QAAQowB,EAAE,CAAC,EAAE,SAASC,GAAG7nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,OAAO,EAAE,CAACoX,EAAEzX,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI+B,EAAE/B,EAAEgC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEqI,EAAE,CAAC,EAAE/B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAGyX,EAAE1V,EAAE,SAAS,EAAE,IAAI,qEAAqEA,EAAE,SAAS,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,MAAM,EAAEyV,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE,IAAIwC,EAAE,IAAI,OAAOX,EAAE,GAAGA,EAAE,GAAGY,EAAE,IAAI,OAAOX,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGyV,EAAE/U,IAAIxC,EAAE,MAAM,GAAG,IAAI,4CAA4CwC,wCAAwCxC,EAAE,MAAM,KAAK,EAAEuX,EAAE9U,IAAIzC,EAAE,MAAM,GAAG,IAAI,6CAA6CyC,yCAAyCzC,EAAE,MAAM,KAAK,EAAEgmB,GAAG,iBAAiB7lB,EAAE,CAAC,EAAE,IAAIuC,EAAE,CAAC,GAAGZ,EAAE,OAAO9B,CAAC,EAAE2C,EAAE,CAAC,QAAQzC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,WAAW0B,CAAC,EAAEe,EAAE8b,EAAE,UAAUx8B,GAAGwgB,EAAEC,CAAC,EAAE,OAAOZ,EAAEvI,EAAEoJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIglB,GAAGtwB,EAAE,CAAC,qBAAqBqwB,EAAE,CAAC,EAAE,SAASE,GAAG/nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,iBAAiB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOqI,GAAG5nB,EAAE,EAAE6B,EAAE3B,EAAEC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIzQ,GAAG4H,EAAE,CAAC,iBAAiBuwB,EAAE,CAAC,EAAE,SAASC,GAAGhoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,QAAQ,EAAEzd,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAEzV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEyV,EAAE1V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oCAAoCC,EAAE,MAAM,yCAAyCD,EAAE,MAAM,KAAK,EAAE0V,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAEuX,EAAEpX,IAAI,QAAQ,IAAI,sCAAsCA,0CAA0C,EAAEoX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIwC,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQzC,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,CAAC,EAAEuC,EAAEgc,EAAE,UAAUv8B,GAAGqgB,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI/S,GAAG2H,EAAE,CAAC,QAAQwwB,EAAE,CAAC,EAAE,SAASC,GAAGjoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAACoX,EAAEzX,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI,EAAEA,EAAE,EAAE,EAAE+B,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEsG,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAIgC,EAAE,EAAE,GAAGC,EAAE,EAAE,MAAM,GAAGwV,EAAE,EAAE,SAAS,EAAE,IAAI,qEAAqE,EAAE,SAAS,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,4DAA4D,EAAE,MAAM,EAAEA,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEuX,EAAEzV,IAAI9B,EAAE,MAAM,GAAG,IAAI,4CAA4C8B,wCAAwC9B,EAAE,MAAM,KAAK,EAAEuX,EAAExV,IAAI/B,EAAE,MAAM,GAAG,IAAI,6CAA6C+B,yCAAyC/B,EAAE,MAAM,KAAK,EAAE,IAAIwC,EAAE,CAAC,GAAG,EAAE,OAAOxC,CAAC,EAAEyC,EAAE,CAAC,IAAItC,EAAE,QAAQD,EAAE,WAAW,CAAC,EAAEwC,EAAEgc,EAAE,UAAUr8B,GAAGmgB,EAAEC,CAAC,EAAE,OAAOZ,EAAErI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIslB,GAAG1wB,EAAE,CAAC,qBAAqBywB,EAAE,CAAC,EAAE,SAASE,GAAGnoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,iBAAiB,EAAE,EAAEyf,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOyI,GAAGhoB,EAAE,EAAE,EAAEE,EAAEC,CAAC,CAAC,CAAC,IAAIvQ,GAAG0H,EAAE,CAAC,iBAAiB2wB,EAAE,CAAC,EAAE,SAASC,GAAGpoB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUp8B,GAAG0d,CAAC,CAAC,CAAC,IAAIlQ,GAAGwH,EAAE,CAAC,KAAK4wB,EAAE,CAAC,EAAE,SAASC,GAAGroB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUn8B,GAAGyd,CAAC,CAAC,CAAC,IAAIjQ,GAAGuH,EAAE,CAAC,MAAM6wB,EAAE,CAAC,EAAE,SAASC,GAAGtoB,EAAE,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE4d,EAAEzf,EAAE,IAAI,SAAS,CAAC,EAAE8B,EAAE,CAAC,KAAK,EAAE,UAAU5B,EAAE,QAAQE,CAAC,EAAE,OAAOwe,EAAE,UAAUj8B,GAAGkf,EAAEC,CAAC,CAAC,CAAC,IAAI3R,GAAGqH,EAAE,CAAC,SAAS8wB,EAAE,CAAC,EAAE,SAASC,GAAGvoB,EAAE,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE4d,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAE8B,EAAE,CAAC,KAAK,EAAE,UAAU5B,EAAE,QAAQE,CAAC,EAAE,OAAOwe,EAAE,UAAUh8B,GAAGif,EAAEC,CAAC,CAAC,CAAC,IAAI1R,GAAGoH,EAAE,CAAC,QAAQ+wB,EAAE,CAAC,EAAE,SAASC,GAAGxoB,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,eAAe,EAAE,EAAEyf,EAAE,EAAE,UAAU,eAAe,EAAEhI,EAAEpX,EAAE,QAAQ,QAAQ,IAAI,8DAA8DA,EAAE,OAAO,EAAEoX,EAAEpX,EAAE,MAAM,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEoX,EAAEvX,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAEuX,EAAE,EAAE,OAAOpX,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,+FAA+FA,EAAE,yBAAyB,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK7B,EAAE,aAAaE,CAAC,EAAE,OAAOwe,EAAE,UAAU77B,GAAG,EAAEgf,CAAC,CAAC,CAAC,IAAIxR,GAAGiH,EAAE,CAAC,eAAegxB,EAAE,CAAC,EAAE,SAASC,GAAGzoB,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,eAAe,SAAS,EAAEK,EAAEH,IAAI,OAAOE,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEF,IAAI,OAAOE,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAEF,IAAI,OAAOE,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqX,EAAE,EAAE,EAAE,IAAI,sDAAsD,GAAG,EAAEA,EAAEpX,EAAE,GAAG,EAAE,IAAI;AAAA,MAC7xaA,SAAS;AAAA,MACTD,EAAE,OAAO,EAAEqX,EAAE,EAAE,GAAG,EAAE,IAAI;AAAA,MACxB,SAAS;AAAA,UACLrX,EAAE,OAAO,EAAEqX,EAAE,GAAG,EAAE,KAAK,EAAE,IAAI,8CAA8C,EAAE,YAAY,uCAAuCrX,EAAE,OAAO,EAAE,IAAI2B,EAAE,CAAC,EAAE3B,CAAC,EAAE4B,EAAE,CAAC,UAAU,EAAE,WAAW9B,CAAC,EAAE,OAAO0e,EAAE,UAAU57B,GAAG+e,EAAEC,CAAC,CAAC,CAAC,IAAIvR,GAAG+G,EAAE,CAAC,cAAcixB,EAAE,CAAC,EAAE,SAASC,GAAG1oB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,kBAAkB,SAAS,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,OAAO,EAAE,IAAIW,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGwV,EAAE9U,IAAIX,EAAE,MAAM,GAAG,IAAI,uDAAuDW,oDAAoDX,EAAE,MAAM,KAAK,EAAEkkB,GAAG,kBAAkB9lB,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ3C,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAE8b,EAAE,UAAU37B,GAAG2f,EAAEC,CAAC,EAAE,OAAOH,EAAEhJ,EAAEoJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIpS,GAAG8G,EAAE,CAAC,iBAAiBkxB,EAAE,CAAC,EAAE,SAASC,GAAG3oB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUx7B,GAAG8c,CAAC,CAAC,CAAC,IAAIrP,GAAG2G,EAAE,CAAC,MAAMmxB,EAAE,CAAC,EAAE,SAASC,GAAG5oB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,YAAY,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,YAAY,EAAEhI,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI,gEAAgE,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,OAAO,EAAE0V,EAAE,IAAI,OAAO,IAAI,gFAAgF,GAAG,EAAE,IAAIzV,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAID,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEuI,EAAE,IAAIwV,EAAEzV,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,oEAAoEC,EAAE,MAAM,SAASD,EAAE,MAAM,IAAI,EAAE,IAAIW,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQzC,EAAE,IAAIE,EAAE,UAAUC,CAAC,EAAEuC,EAAEgc,EAAE,UAAUv7B,GAAGqf,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI9R,GAAG0G,EAAE,CAAC,YAAYoxB,EAAE,CAAC,EAAMj6B,GAAG,CAAC,EAAEsR,GAAGtR,GAAG,CAAC,2BAA2B,IAAIk6B,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAG9oB,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAEG,IAAI,CAAC,IAAI,EAAEH,EAAE,EAAEG,EAAE,EAAEL,EAAE,IAAI,GAAG,EAAE,EAAE,OAAO,EAAEK,IAAI,GAAG,GAAG,IAAI,GAAGD,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS2oB,GAAG/oB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAEL,EAAEA,EAAE,OAAOI,EAAE,GAAG,EAAE,EAAE,OAAOA,EAAE,EAAE,EAAE,EAAE,IAAIC,GAAG,MAAMA,IAAI,GAAG,EAAE,IAAIH,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS2oB,GAAG7oB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,KAAK,IAAIJ,EAAE,OAAO,EAAE,MAAM,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAI,EAAEL,EAAEA,EAAE,OAAOK,EAAE,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,OAAOA,EAAE,GAAG,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEH,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAEA,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAE,CAAC,IAAI6B,EAAE,wDAAwD/B,SAAS,KAAK,MAAM,MAAM+B,CAAC,CAAC,MAAM7B,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS8oB,GAAGhpB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,QAAQ,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU96B,GAAGuc,CAAC,CAAC,CAAC,IAAIxO,GAAG2F,EAAE,CAAC,OAAOwxB,EAAE,CAAC,EAAE,SAASC,GAAGjpB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAE,EAAE,IAAI,OAAO,EAAEpf,EAAEof,EAAEvf,EAAE,IAAI,OAAO,EAAE,EAAEuf,EAAEzf,EAAE,YAAY,QAAQ,MAAM,EAAE,EAAE6oB,GAAGA,GAAG,EAAE,MAAMzoB,EAAE,KAAK,EAAEC,EAAE,KAAK,EAAE0B,EAAErT,GAAG,EAAE,CAAC,EAAEsT,EAAEtT,GAAG0R,EAAE,CAAC,EAAE6B,EAAEvT,GAAG2R,EAAE,CAAC,EAAEqC,EAAE,CAAC,UAAUX,EAAE,EAAEC,EAAE,EAAEC,CAAC,EAAE,OAAO2c,EAAE,UAAUx0B,GAAGsY,CAAC,CAAC,CAAC,IAAIrD,GAAG7H,EAAE,CAAC,OAAOyxB,EAAE,CAAC,EAAE,SAASC,GAAGlpB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,CAAC,EAAE,OAAO4e,EAAE,UAAU/xB,GAAGqT,CAAC,CAAC,CAAC,IAAIV,GAAGhI,EAAE,CAAC,WAAW0xB,EAAE,CAAC,EAAE,SAASC,GAAGnpB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAEnP,GAAGgP,EAAEE,CAAC,EAAE,EAAEZ,GAAGa,CAAC,EAAE,EAAExO,GAAGuO,EAAE,CAAC,EAAE,OAAOf,GAAG,EAAE,EAAEgB,CAAC,CAAC,CAAC,IAAIlP,GAAGqG,EAAE,CAAC,UAAU2xB,EAAE,CAAC,EAAE,SAASC,GAAGppB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,KAAK,EAAEI,EAAEqf,EAAE,EAAE,KAAK,KAAK,EAAEhI,GAAGvX,EAAE,OAAO,GAAGA,EAAE,OAAO,KAAKE,EAAE,OAAO,GAAGA,EAAE,OAAO,GAAG,IAAI,+DAA+DF,EAAE,YAAYE,EAAE,OAAO,EAAE,IAAIC,EAAEH,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,EAAEE,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,GAAG,GAAGqX,EAAEpX,IAAI,EAAE,IAAI,gEAAgEA,SAAS,IAAI,EAAEH,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAEwG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE6B,EAAErI,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAErM,GAAG,EAAEoM,CAAC,EAAE,OAAOrI,EAAEsI,EAAE,CAAC,CAAC,CAAC,SAAS9B,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAEwG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE6B,EAAErI,EAAE0G,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE4B,EAAErM,GAAG,EAAEoM,CAAC,EAAE,OAAOrI,EAAEsI,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,SAAS9B,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE2B,EAAEpM,GAAGuK,EAAE,CAAC,EAAE,OAAOxG,EAAEqI,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,KAAK,CAAC,IAAI,EAAErI,EAAE0G,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOzK,GAAGuK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI9O,GAAGoG,EAAE,CAAC,KAAK4xB,EAAE,CAAC,EAAE,SAASC,GAAGrpB,KAAK,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAI,CAACG,EAAE,IAAIof,EAAEpf,EAAE,UAAU,IAAI,QAAQ,CAAC,EAAED,EAAE,CAAC,SAASJ,CAAC,EAAE,OAAO4e,EAAE,UAAUl7B,GAAGwc,EAAEE,CAAC,CAAC,CAAC,IAAI9O,GAAGkG,EAAE,CAAC,QAAQ6xB,EAAE,CAAC,EAAE,SAASC,GAAGtpB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUj7B,GAAGuc,CAAC,CAAC,CAAC,IAAI3O,GAAGiG,EAAE,CAAC,KAAK8xB,EAAE,CAAC,EAAE,SAASC,GAAGvpB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,KAAK,EAAEyX,EAAE,EAAE,QAAQ,SAAS,EAAE,QAAQ,UAAU,IAAI,2CAA2C,EAAE,EAAE,QAAQ,UAAU,EAAE1oB,GAAE,EAAE,SAAS,GAAG,IAAImR,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU76B,GAAGmc,CAAC,CAAC,CAAC,IAAIpO,GAAG0F,EAAE,CAAC,KAAK+xB,EAAE,CAAC,EAAE,SAASC,GAAGxpB,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,GAAGF,EAAEA,EAAE,OAAOE,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASupB,GAAGzpB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,OAAO,EAAE,OAAOK,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI7B,EAAE,QAAQ6B,CAAC,IAAI,GAAG1B,EAAE,KAAKL,EAAE,IAAI,EAAEK,EAAE,KAAK,EAAE,IAAI,EAAE,OAAOA,CAAC,CAAC,SAASqpB,GAAG1pB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEI,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,IAAIF,EAAE,KAAKF,EAAE,EAAE,EAAE,IAAIK,EAAE,EAAE,IAAI,GAAGL,EAAE,EAAE,EAAE,MAAM,CAACE,EAAEG,CAAC,CAAC,CAAC,SAASspB,GAAG3pB,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAIE,GAAG,CAAC,EAAE,OAAOqpB,GAAGzpB,EAAEE,EAAE,CAAC,CAAC,CAAC,SAAS0pB,GAAG5pB,EAAE,EAAEE,EAAE,CAACuX,EAAE+R,GAAG,EAAEtpB,CAAC,EAAE,IAAI,GAAGF,qDAAqD,cAAcE,UAAU,CAAC,CAAC,SAAS2pB,GAAG7pB,EAAE,EAAE,CAAC,GAAGwpB,GAAGxpB,EAAE,CAAC,EAAE,OAAO,KAAK,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEJ,EAAE,QAAQI,CAAC,IAAI,IAAIF,EAAE,KAAKE,CAAC,EAAE,OAAOJ,EAAE,QAAQI,GAAGF,EAAE,KAAKE,CAAC,CAAC,EAAEF,CAAC,CAAC,SAAS4pB,GAAG9pB,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,EAAEE,IAAI,CAACA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAEA,IAAI,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,EAAE,CAAC,CAAC,SAAS6pB,GAAG/pB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS8pB,GAAGhqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE6B,EAAE,CAAC,iBAAiB,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUh4B,GAAGyZ,EAAEwB,CAAC,CAAC,CAAC,IAAIhM,GAAG2B,EAAE,CAAC,KAAKwyB,EAAE,CAAC,EAAE,SAASC,GAAGjqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUx3B,GAAGiZ,EAAEwB,CAAC,CAAC,CAAC,IAAIvL,GAAGkB,EAAE,CAAC,KAAKyyB,EAAE,CAAC,EAAE,SAASC,GAAGlqB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,OAAO,KAAK,EAAEI,EAAEqf,EAAE,EAAE,MAAM,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUp2B,GAAG6X,CAAC,CAAC,CAAC,IAAIrI,GAAGR,EAAE,CAAC,KAAK0yB,EAAE,CAAC,EAAE,SAAS/vB,GAAG6F,EAAE,EAAE,CAAC,IAAIqb,GAAGrb,CAAC,GAAG,IAAI,UAAU,MAAM,QAAQA,CAAC,IAAI,IAAI,YAAY,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,IAAI,UAAUqb,GAAGrb,CAAC,GAAG,EAAEA,aAAa,YAAY,MAAM,IAAI,MAAM,2EAA2E,EAAE,OAAO4f,GAAG5f,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASmqB,GAAGnqB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUvzB,GAAG6U,CAAC,CAAC,CAAC,IAAI9D,GAAG5E,EAAE,CAAC,MAAM2yB,EAAE,CAAC,EAAE,SAASC,GAAGpqB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,EAAEE,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU,SAAS,CAAC,EAAE,CAAC,EAAE1e,CAAC,CAAC,CAAC,IAAI7D,GAAG7E,EAAE,CAAC,QAAQ4yB,EAAE,CAAC,EAAE,SAASC,GAAGrqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAE,QAAQ,SAASA,EAAErR,GAAEqR,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAU9yB,GAAGuU,EAAE,CAAC,CAAC,CAAC,IAAIxD,GAAGrF,EAAE,CAAC,KAAK6yB,EAAE,CAAC,EAAE,SAASC,GAAGtqB,EAAE,EAAE,YAAYE,EAAE,KAAKE,EAAE,GAAG,CAACJ,EAAEyf,EAAEzf,EAAE,IAAI,MAAM,EAAE,IAAIK,EAAEkqB,GAAGvqB,EAAE,EAAEE,CAAC,EAAE,EAAEG,EAAE,MAAM,GAAGD,EAAE,CAAC,IAAI,EAAEkY,GAAGpY,EAAEF,EAAE,KAAK,EAAE,EAAE2pB,GAAGtpB,EAAE,MAAM,CAAC,CAAC,CAAC,OAAO3G,EAAE2G,EAAE,CAAC,CAAC,CAAC,SAASkqB,GAAGvqB,EAAE,EAAEE,EAAE,KAAK,CAAC,GAAGF,EAAE,OAAO,EAAE,OAAOjT,GAAGiT,CAAC,EAAE,GAAGA,EAAE,OAAO,GAAGE,IAAI,KAAK,OAAOqqB,GAAG7wB,EAAEsG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEE,CAAC,EAAE,GAAGF,EAAE,OAAO,GAAG,OAAOE,GAAG,UAAU,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOrD,GAAG9P,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOrK,GAAG9I,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,GAAG,EAAE,OAAO5J,GAAGvJ,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,aAAa,IAAI,EAAE,OAAO9D,GAAGS,GAAG7E,GAAGjL,GAAGiT,CAAC,EAAE7F,GAAG,EAAE,OAAO,CAAC,EAAE+F,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOrK,GAAGgH,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,GAAG,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOrK,GAAGgH,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,EAAE,OAAO5J,GAAGuG,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,GAAG,IAAI,OAAO,IAAI,YAAY,OAAO9D,GAAGS,GAAGR,GAAG2D,CAAC,EAAEE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,MAAM,IAAI,MAAM,gCAAgCA,GAAG,CAAC,CAAC,IAAI/I,GAAGK,EAAE,CAAC,MAAM8yB,EAAE,CAAC,EAAE,SAASE,GAAGxqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,OAAO/I,GAAG6I,EAAE,YAAY,EAAEE,CAAC,CAAC,CAAC,IAAInO,GAAGyF,EAAE,CAAC,eAAegzB,EAAE,CAAC,EAAE,SAASC,GAAGzqB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE,OAAO4e,EAAE,UAAU56B,GAAGkc,CAAC,CAAC,CAAC,IAAIlO,GAAGwF,EAAE,CAAC,KAAKizB,EAAE,CAAC,EAAE,SAASC,GAAG1qB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,mBAAmB,EAAEyX,EAAE,GAAGvX,EAAE,KAAK,IAAI,oCAAoC,EAAE,IAAIE,EAAE,CAAC,MAAMF,CAAC,EAAEG,EAAE,CAAC,IAAI,CAAC,EAAE,OAAOue,EAAE,UAAU36B,GAAGmc,EAAEC,CAAC,CAAC,CAAC,IAAIpO,GAAGuF,EAAE,CAAC,YAAYkzB,EAAE,CAAC,EAAE,SAASC,GAAG3qB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU16B,GAAGgc,CAAC,CAAC,CAAC,IAAIhO,GAAGsF,EAAE,CAAC,OAAOmzB,EAAE,CAAC,EAAE,SAASC,GAAG5qB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,mBAAmB,EAAEyX,EAAEvX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUxyB,GAAGgU,EAAEC,CAAC,CAAC,CAAC,IAAI1C,GAAGnG,EAAE,CAAC,MAAMozB,EAAE,CAAC,EAAE,SAASC,GAAG7qB,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAG,OAAO,EAAEJ,GAAG,IAAIK,EAAExR,GAAG,CAACmR,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEJ,GAAG,EAAEA,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAE,IAAI,EAAE0B,EAAEA,CAAC,EAAE,IAAI,EAAErI,EAAE2G,EAAE,SAAS,EAAE,CAACL,EAAE,CAAC,CAAC,EAAE,GAAGE,GAAG,KAAK,OAAO,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAG,EAAE,CAAC,EAAE,CAACiO,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACiO,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAGA,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACiO,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,UAAU,CAAC,CAAC,IAAI/N,GAAGqF,EAAE,CAAC,KAAKqzB,EAAE,CAAC,EAAE,SAASC,GAAG9qB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUt6B,GAAG4b,CAAC,CAAC,CAAC,IAAI1N,GAAGgF,EAAE,CAAC,OAAOszB,EAAE,CAAC,EAAE,SAASC,GAAG/qB,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE,EAAEyf,EAAE,EAAE,UAAU,SAAS,OAAO,EAAE,EAAE,CAAC,EAAEpf,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK7B,EAAE,UAAUE,CAAC,EAAE,OAAOwe,EAAE,UAAU95B,GAAG,EAAEid,CAAC,CAAC,CAAC,IAAInP,GAAG4E,EAAE,CAAC,QAAQuzB,EAAE,CAAC,EAAE,SAASC,GAAGhrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU55B,GAAGqb,CAAC,CAAC,CAAC,IAAI9M,GAAGiE,EAAE,CAAC,SAASwzB,EAAE,CAAC,EAAE,SAASC,GAAGjrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,eAAe,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,eAAe,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU35B,GAAGob,CAAC,CAAC,CAAC,IAAI7M,GAAGgE,EAAE,CAAC,cAAcyzB,EAAE,CAAC,EAAE,SAASC,GAAGlrB,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAMuf,EAAEzf,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUv5B,GAAG6a,CAAC,CAAC,CAAC,IAAIxM,GAAG8D,EAAE,CAAC,MAAM0zB,EAAE,CAAC,EAAE,SAASC,GAAGnrB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAUr5B,GAAG2a,CAAC,CAAC,CAAC,IAAIjM,GAAGuD,EAAE,CAAC,UAAU2zB,EAAE,CAAC,EAAE,SAASC,GAAGprB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUp5B,GAAG0a,CAAC,CAAC,CAAC,IAAIhM,GAAGsD,EAAE,CAAC,OAAO4zB,EAAE,CAAC,EAAE,SAASC,GAAGrrB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUn5B,GAAGya,CAAC,CAAC,CAAC,IAAI/L,GAAGqD,EAAE,CAAC,OAAO6zB,EAAE,CAAC,EAAE,SAASC,GAAGtrB,EAAE,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,WAAW,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAU74B,GAAG,EAAEsa,CAAC,CAAC,CAAC,IAAI9L,GAAGiD,EAAE,CAAC,WAAW8zB,EAAE,CAAC,EAAE,SAASC,GAAGvrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,OAAO,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU54B,GAAGqa,CAAC,CAAC,CAAC,IAAI7L,GAAGgD,EAAE,CAAC,MAAM+zB,EAAE,CAAC,EAAE,SAASC,GAAGxrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,YAAY,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU34B,GAAGoa,CAAC,CAAC,CAAC,IAAI5L,GAAG+C,EAAE,CAAC,WAAWg0B,EAAE,CAAC,EAAE,SAAS72B,GAAGqL,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,IAAIE,EAAE,CAAC,MAAMJ,EAAE,KAAK,EAAE,IAAIE,CAAC,EAAE,OAAO0e,EAAE,UAAU14B,GAAG,CAAC,EAAEka,CAAC,CAAC,CAAC,SAASqrB,GAAGzrB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,4BAA4B,EAAEyX,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI;AAAA,sBAC52T,EAAE,OAAO,EAAEA,EAAEM,GAAG,CAAC,EAAE,IAAI,2FAA2F,IAAI,EAAE,IAAI,EAAE,EAAEhW,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIsI,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC,YAAY,EAAE,KAAK/B,EAAE,MAAME,EAAE,KAAKC,CAAC,EAAEqC,EAAEkc,EAAE,UAAUj5B,GAAGqc,EAAEC,CAAC,EAAE,OAAOF,EAAErI,EAAEgJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI3N,GAAGyC,EAAE,CAAC,4BAA4Bi0B,EAAE,CAAC,EAAE,SAASC,GAAG1rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUz4B,GAAG+Z,CAAC,CAAC,CAAC,IAAIlL,GAAGwC,EAAE,CAAC,KAAKk0B,EAAE,CAAC,EAAE,SAASC,GAAG3rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUx4B,GAAG8Z,CAAC,CAAC,CAAC,IAAIjL,GAAGuC,EAAE,CAAC,OAAOm0B,EAAE,CAAC,EAAE,SAASt4B,GAAG2M,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,4CAA4C,EAAE,CAAC,EAAEE,IAAI,CAAC,IAAIE,EAAEqf,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAEpf,EAAEH,GAAG,KAAKuf,EAAEvf,EAAE,KAAK,SAAS,EAAE,KAAK,OAAO0e,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAI5e,EAAEI,CAAC,EAAE,CAACA,CAAC,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMqX,GAAG,EAAE,MAAMrX,EAAE,MAAM,gFAAgF,EAAEurB,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASt4B,GAAG0M,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,6CAA6C,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,MAAM,QAAQ,CAAC,EAAE,IAAI,kFAAkF,EAAE,IAAIrX,EAAEsf,GAAG,EAAE,OAAO,WAAW,mBAAmB,EAAErf,EAAEH,GAAG,KAAKuf,EAAEvf,EAAE,KAAK,UAAU,EAAE,KAAK,OAAO0e,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAI5e,EAAE,GAAGI,CAAC,EAAEA,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMqX,GAAG,EAAE,MAAMrX,EAAE,MAAM,+FAA+F,EAAEurB,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASntB,GAAGuB,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,oDAAoD,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,aAAavrB,GAAG,IAAI,qDAAqD,EAAEurB,EAAEvX,GAAG,MAAMA,aAAahU,GAAG,IAAI,0DAA0D,EAAE,GAAG,CAAC,MAAMkU,EAAE,MAAMC,CAAC,EAAEue,EAAE,UAAU,IAAI5e,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEE,CAAC,EAAE,OAAO0rB,GAAGxrB,CAAC,EAAE,CAAC,KAAKA,EAAE,GAAG,MAAMC,CAAC,CAAC,CAAC,CAAC,SAAS3B,GAAGsB,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,qDAAqD,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMpX,GAAGA,aAAanU,EAAE,EAAE,IAAI,oEAAoE,EAAEurB,EAAEvX,GAAG,MAAMA,aAAahU,GAAG,IAAI,8DAA8D,EAAE,IAAIkU,EAAEwe,EAAE,UAAU,IAAI5e,EAAE,GAAG,CAAC,EAAE,EAAEE,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAGtX,EAAE,MAAM,MAAMF,EAAE,MAAM,uGAAuG,EAAE0rB,GAAGxrB,EAAE,KAAK,EAAEA,CAAC,CAAC,CAAC,SAASxB,GAAGoB,EAAE,EAAE,CAACyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,qDAAqD,EAAEyX,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMxV,GAAGA,aAAarV,EAAE,EAAE,IAAI,+EAA+E,EAAE,IAAIsT,EAAE,GAAG,KAAK,GAAG,CAACA,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ+B,KAAK2c,EAAE,oBAAoB,EAAE,KAAKA,EAAE,oBAAoB3c,EAAE,CAAC,CAAC,IAAI7B,EAAEF,EAAE,EAAE,OAAO+B,GAAG,CAACA,EAAE,SAAS,EAAE,KAAK5B,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO4B,GAAGA,EAAE,SAAS,EAAEwV,EAAE,EAAE,OAAO,EAAE,IAAI,gGAAgGpX,2BAA2B,EAAE,IAAI,EAAE,GAAG,CAAC,MAAM,EAAE,MAAM0B,CAAC,EAAE6c,EAAE,UAAU5e,EAAE,EAAE,KAAK,CAAC,EAAEyX,EAAE1V,EAAE,KAAKE,GAAGA,GAAG,IAAI,EAAE,IAAI,8LAA8L,EAAEwV,EAAE,EAAE,OAAO,EAAE,IAAI,iFAAiF,EAAE,aAAa,EAAE,IAAIzV,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACC,EAAES,IAAI,CAACX,EAAEW,IAAI,OAAOV,EAAEC,EAAE,MAAMF,EAAEW,GAAG,CAAC,EAAEtC,GAAG,MAAMA,EAAE,QAAQ6B,GAAGD,EAAEC,EAAE,MAAM,IAAI,EAAE,CAAC,MAAM,EAAE,MAAMD,CAAC,CAAC,CAAC,SAAS3R,GAAG2P,EAAE,CAAC,OAAO4e,EAAE,WAAW5e,CAAC,CAAC,CAAC,SAAS4rB,GAAG5rB,EAAE,CAAC,GAAGA,EAAE,OAAOE,GAAGA,GAAG,IAAI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,oEACryG,CAAC,CAAC,SAAS2rB,GAAG7rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE,OAAO4e,EAAE,UAAUj3B,GAAGuY,CAAC,CAAC,CAAC,IAAIjJ,GAAGO,EAAE,CAAC,KAAKq0B,EAAE,CAAC,EAAE,SAASC,GAAG9rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAU/zB,GAAGqV,CAAC,CAAC,CAAC,IAAIpE,GAAGtE,EAAE,CAAC,UAAUs0B,EAAE,CAAC,EAAE,SAASC,GAAG/rB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,YAAY,EAAE,OAAO3P,GAAG,IAAI,CAAC,MAAM4G,GAAG6E,GAAG7E,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS6K,GAAGhL,EAAEgL,EAAE5G,GAAGjE,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI/B,GAAGsC,EAAE,CAAC,YAAYu0B,EAAE,CAAC,EAAE,SAASC,GAAGhsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU/yB,GAAGwU,CAAC,CAAC,CAAC,IAAIzD,GAAGpF,EAAE,CAAC,KAAKw0B,EAAE,CAAC,EAAE,SAASC,GAAGjsB,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,YAAY,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,gFAAgFA,EAAE,qBAAqB,GAAG,EAAE,OAAO7P,GAAG,CAACgQ,EAAEwB,IAAI,CAAC,IAAIE,EAAElM,GAAGwK,EAAE,EAAE,EAAE,EAAE2B,EAAEpF,GAAGyD,EAAE0B,CAAC,EAAEE,EAAErF,GAAG7N,GAAEiT,EAAE,SAAS,EAAEhN,GAAG6H,GAAG7K,GAAGgQ,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOH,EAAE,CAACI,CAAC,CAAC,EAAE,CAAC,MAAMA,EAAE,SAAS,CAACU,EAAEC,IAAI,CAAC,GAAG,CAACC,CAAC,EAAED,EAAE,EAAE,GAAGoB,EAAEhS,GAAG6Q,CAAC,EAAE,OAAOjG,GAAG+F,EAAE7L,EAAE+F,GAAG8F,EAAE,EAAE,CAAC,EAAEqB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE9D,CAAC,CAAC,CAAC,IAAI/K,GAAGqC,EAAE,CAAC,YAAYy0B,EAAE,CAAC,EAAE,SAASC,GAAGlsB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAEK,EAAEiY,GAAG,EAAElY,EAAE,KAAK,EAAE,EAAEvK,GAAGuK,EAAEC,EAAE,EAAE,EAAE,EAAEzD,GAAGwD,EAAE,CAAC,EAAE2B,EAAE/P,GAAG,CAAC,EAAEgQ,EAAEnF,GAAGkF,EAAE1B,CAAC,EAAE4B,EAAEjN,GAAGgN,CAAC,EAAEU,EAAExV,EAAEwM,EAAE,EAAEuI,EAAE,KAAK,EAAEA,CAAC,EAAE,GAAG/B,EAAE,CAAC,IAAIyC,EAAEgnB,GAAGjnB,EAAE,MAAMrC,CAAC,EAAE,OAAO3G,EAAEgJ,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAItN,GAAGoC,EAAE,CAAC,WAAW00B,EAAE,CAAC,EAAE,SAASC,GAAGnsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,aAAa,MAAM,EAAEoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt4B,GAAG+Z,CAAC,CAAC,CAAC,IAAIhL,GAAGmC,EAAE,CAAC,YAAY20B,EAAE,CAAC,EAAE,SAASC,GAAGpsB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUr4B,GAAG2Z,CAAC,CAAC,CAAC,IAAI5K,GAAGkC,EAAE,CAAC,YAAY40B,EAAE,CAAC,EAAE,SAASC,GAAGrsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,YAAY,MAAM,EAAEoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUp4B,GAAG6Z,CAAC,CAAC,CAAC,IAAI9K,GAAGiC,EAAE,CAAC,WAAW60B,EAAE,CAAC,EAAE,SAASC,GAAGtsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,aAAa,MAAM,EAAE,OAAOoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE/K,GAAGE,GAAGyK,EAAE,CAAC,EAAE1K,GAAGD,GAAG2K,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIxK,GAAGgC,EAAE,CAAC,YAAY80B,EAAE,CAAC,EAAMC,GAAG,WAAW,SAASC,GAAGxsB,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,iBAAiB,cAAc,EAAEK,EAAEof,EAAE,EAAE,SAAS,cAAc,EAAE,EAAErf,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG0B,EAAErI,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAEtI,EAAE2G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG0B,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,GAAGA,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAG6V,GAAG7V,EAAE,KAAK,GAAGuqB,GAAG,MAAM,IAAI,MAAM,qCAAqCA,IAAI,EAAE,GAAGxqB,EAAE,MAAM,IAAIwqB,GAAG,MAAM,IAAI,MAAM,oCAAoCA,iCAAiCxqB,EAAE,MAAM,IAAI,EAAE,IAAIE,EAAE,CAAC,eAAeF,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,KAAKxC,CAAC,EAAE,OAAO0e,EAAE,UAAUz0B,GAAG8X,EAAES,CAAC,CAAC,CAAC,IAAIpI,GAAG9C,EAAE,CAAC,cAAcg1B,EAAE,CAAC,EAAE,SAAS92B,GAAGsK,EAAE,EAAE,CAAC,OAAO1F,GAAG0F,EAAE,EAAE,MAAM,CAAC,CAAC,SAASysB,GAAGzsB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,SAAS,EAAE,EAAE,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE0V,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAEgmB,GAAG,UAAU9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEic,EAAE,UAAU/3B,GAAGob,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI7M,GAAG0B,EAAE,CAAC,SAASi1B,EAAE,CAAC,EAAE,SAASC,GAAG1sB,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEE,EAAEE,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE0V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEyO,GAAG,YAAY9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEic,EAAE,UAAU93B,GAAGmb,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI5M,GAAGyB,EAAE,CAAC,WAAWk1B,EAAE,CAAC,EAAE,SAASC,GAAG3sB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE2d,EAAEzf,EAAE,IAAI,mBAAmB,CAAC,EAAE+B,EAAE,CAAC,WAAW,EAAE,QAAQ7B,EAAE,IAAIE,EAAE,oBAAoBC,CAAC,EAAE2B,EAAE4c,EAAE,UAAU33B,GAAG6a,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,GAAG,QAAQA,EAAE,EAAE,CAAC,CAAC,IAAIhM,GAAGwB,EAAE,CAAC,mBAAmBm1B,EAAE,CAAC,EAAE,SAASC,GAAG5sB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAEI,EAAEqf,EAAE,EAAE,IAAI,SAAS,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASA,EAAEnR,GAAEmR,EAAE,OAAO,EAAEE,EAAErR,GAAEqR,EAAE,OAAO,GAAGyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU13B,GAAGmZ,CAAC,CAAC,CAAC,IAAIpK,GAAGuB,EAAE,CAAC,SAASo1B,EAAE,CAAC,EAAE,SAASC,GAAG7sB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUz3B,GAAGkZ,EAAEwB,CAAC,CAAC,CAAC,IAAI3L,GAAGsB,EAAE,CAAC,MAAMq1B,EAAE,CAAC,EAAE,SAASttB,GAAGS,EAAE,EAAE,UAAU,CAAC,GAAG4Z,GAAG5Z,CAAC,EAAE,IAAI,YAAY,CAAC,IAAII,EAAEb,GAAGS,EAAE,SAAS,EAAEK,EAAEd,GAAGS,EAAE,SAAS,EAAE,OAAO7Q,GAAGiR,EAAEC,CAAC,CAAC,CAAC,IAAIH,EAAEwZ,GAAG7B,GAAG7X,CAAC,EAAE,CAAC,EAAE,OAAO4e,EAAE,WAAW1e,EAAEF,EAAE,CAAC,CAAC,CAAC,SAAS1I,GAAG0I,EAAE,EAAE,UAAU,CAAC,GAAG4Z,GAAG5Z,CAAC,EAAE,IAAI,YAAY,CAAC,IAAII,EAAE9I,GAAG0I,EAAE,SAAS,EAAEK,EAAEd,GAAGS,EAAE,SAAS,EAAE,OAAO7Q,GAAGiR,EAAEC,CAAC,CAAC,CAAC,IAAIH,EAAEuZ,GAAG5B,GAAG7X,CAAC,EAAE,CAAC,EAAE,OAAO4e,EAAE,WAAW1e,EAAEF,EAAE,CAAC,CAAC,CAAC,SAAS5J,GAAG4J,EAAE,EAAE,CAAC,SAASE,EAAE,IAAI,EAAE,CAAC,EAAE,CAAC,GAAGA,IAAI,MAAMA,IAAI,KAAK,MAAM,IAAI,UAAU,GAAGA,6CAA6C,EAAE,GAAGF,IAAI,OAAO,MAAM,CAAC,EAAE,IAAII,EAAEqf,EAAEzf,EAAE,IAAI,WAAWA,aAAa9T,GAAG8T,EAAE,MAAM,SAAS,EAAE,GAAG,IAAI,OAAO,MAAM,CAACI,CAAC,EAAE,IAAIC,EAAEof,EAAE,EAAE,IAAI,WAAW,aAAavzB,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE2rB,GAAGzX,EAAE,KAAK,EAAE,EAAEyX,GAAGxX,EAAE,KAAK,EAAE,OAAOH,IAAI,MAAME,EAAE1G,EAAE0G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3G,EAAE2G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC1K,GAAG2B,GAAG,CAAC,EAAE,CAAC,EAAE8I,EAAE,KAAK,EAAEA,CAAC,EAAEzK,GAAG0K,EAAE/I,GAAG,CAAC,EAAE,CAAC,EAAE+I,EAAE,KAAK,CAAC,CAAC,IAAID,EAAE1G,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEC,EAAE3G,EAAE2G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC1K,GAAGyK,EAAE9I,GAAG,CAAC,EAAE,CAAC,EAAE8I,EAAE,KAAK,CAAC,EAAEzK,GAAG2B,GAAG,CAAC,EAAE,CAAC,EAAE+I,EAAE,KAAK,EAAEA,CAAC,CAAC,EAAE,CAAC,SAASysB,GAAG9sB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAEI,EAAEqf,EAAE,EAAE,IAAI,SAAS,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASA,EAAEnR,GAAEmR,EAAE,OAAO,EAAEE,EAAErR,GAAEqR,EAAE,OAAO,GAAGyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUv3B,GAAGgZ,CAAC,CAAC,CAAC,IAAI9J,GAAGiB,EAAE,CAAC,SAASs1B,EAAE,CAAC,EAAE,SAASC,GAAG/sB,EAAE,EAAEE,EAAE,CAACuX,EAAEvX,IAAI,WAAWA,IAAI,YAAY,IAAI,+DAA+DA,IAAI,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAEqX,EAAE,EAAE,SAASrX,EAAE,KAAK,IAAI,wCAAwCA,EAAE,aAAa,EAAE,SAAS,EAAE,IAAIC,EAAEH,IAAI,UAAU,EAAE,EAAE,QAAQ6B,EAAE,EAAEA,EAAE3B,EAAE,KAAK2B,IAAI0V,EAAE,EAAE1V,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE0V,EAAE,EAAE1V,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,GAAG,EAAE0B,GAAG,IAAI,GAAG,EAAEA,GAAG,IAAI3B,EAAE,MAAM2B,GAAG1B,EAAE,IAAI,wBAAwB0B,wCAAwC3B,EAAE,MAAM2B,GAAG1B,uCAAuCD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,SAAS,EAAE,KAAKF,CAAC,EAAE,EAAE,CAAC,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt3B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIkP,GAAGgB,EAAE,CAAC,WAAWu1B,EAAE,CAAC,EAAE,SAASC,GAAGhtB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUr3B,GAAG8Y,CAAC,CAAC,CAAC,IAAI5J,GAAGe,EAAE,CAAC,KAAKw1B,EAAE,CAAC,EAAE,SAASC,GAAGjtB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAACF,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,EAAE,IAAII,EAAEkY,GAAG,EAAEtY,EAAE,KAAK,EAAEK,EAAEnK,GAAG8J,EAAEI,EAAEF,CAAC,EAAE,EAAEG,EAAE,MAAMH,IAAI,EAAEypB,GAAGtpB,EAAE,MAAMD,CAAC,GAAG,IAAI,EAAE/D,GAAGO,GAAG7N,GAAEiR,EAAE,SAAS,EAAEtG,EAAE2G,EAAE,CAAC,CAAC,CAAC,EAAE0B,EAAE7L,GAAG,EAAEkK,EAAEF,CAAC,EAAE,MAAM,CAAC,KAAKG,EAAE,SAAS0B,CAAC,CAAC,CAAC,IAAInL,GAAGY,EAAE,CAAC,SAASy1B,EAAE,CAAC,EAAE,SAASC,GAAGltB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAE,EAAE,OAAO,cAAc,EAAE,EAAEC,GAAGxf,EAAE,IAAI,cAAc,EAAE,EAAEwf,GAAGtf,EAAE,IAAI,cAAc,EAAE2B,EAAE1B,EAAE2B,EAAE,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAE3C,EAAE,OAAO2C,IAAI,CAAC,IAAIC,EAAE5C,EAAE2C,GAAGZ,EAAE,EAAEY,GAAG,EAAEA,EAAE,EAAEX,EAAE,KAAKY,EAAE,EAAE,EAAEZ,EAAE,KAAKY,EAAE,EAAE,EAAEb,EAAEa,EAAE,EAAE,CAAC,IAAIX,EAAE,CAAC,EAAES,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEX,EAAE,OAAOW,GAAG,EAAEV,EAAE,KAAKD,EAAEW,EAAE,EAAED,EAAE,KAAKV,EAAEW,EAAE,EAAE,EAAE,MAAM,CAACV,EAAES,CAAC,CAAC,CAAC,IAAI3L,GAAGS,EAAE,CAAC,cAAc01B,EAAE,CAAC,EAAE,SAASC,GAAGntB,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,aAAa,EAAE,EAAEK,EAAE,KAAK,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,IAAI,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,GAAG,EAAEH,EAAEA,GAAG,KAAK,OAAO,EAAE,IAAI8B,EAAE,CAAC,OAAO,IAAI,EAAEtI,EAAE2G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAKH,EAAE,WAAWE,CAAC,EAAEsC,EAAEkc,EAAE,UAAUn3B,GAAGua,EAAE,CAAC,EAAE,OAAO,IAAI,EAAEtI,EAAEgJ,EAAE,CAACA,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAI1L,GAAGQ,EAAE,CAAC,aAAa21B,EAAE,CAAC,EAAE,SAASC,GAAGptB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,WAAW,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU72B,GAAGsY,CAAC,CAAC,CAAC,IAAIjJ,GAAGI,EAAE,CAAC,UAAU41B,EAAE,CAAC,EAAE,SAASC,GAAGrtB,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAEC,EAAE,QAAQ,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,iDAAiD,GAAG,EAAE,IAAIyB,EAAE,CAAC,QAAQ2d,EAAEzf,EAAE,UAAU,SAAS,OAAO,CAAC,EAAE+B,EAAE,CAAC,MAAM1B,EAAE,MAAM,EAAE,QAAQH,EAAE,SAASE,CAAC,EAAE,OAAOwe,EAAE,UAAU32B,GAAG6Z,EAAEC,CAAC,CAAC,CAAC,IAAI1K,GAAGG,EAAE,CAAC,QAAQ61B,EAAE,CAAC,EAAE,SAASC,GAAGttB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAU12B,GAAGgY,CAAC,CAAC,CAAC,IAAI3I,GAAGC,EAAE,CAAC,UAAU81B,EAAE,CAAC,EAAE,SAASC,GAAGvtB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,cAAc,EAAEI,EAAEqf,EAAE,EAAE,KAAK,cAAc,EAAEhI,EAAEvX,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,IAAI,+DAA+DF,EAAE,YAAYE,EAAE,OAAO,EAAE,IAAIC,EAAE3G,EAAEwG,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAExG,EAAE0G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOzK,GAAG0K,EAAE,CAAC,CAAC,CAAC,IAAI5I,GAAGD,EAAE,CAAC,cAAc+1B,EAAE,CAAC,EAAE,SAASC,GAAGxtB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,KAAK,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAE,CAAC,SAAS,EAAE,cAAcH,CAAC,EAAE,EAAE,CAAC,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt2B,GAAG,EAAE+X,CAAC,CAAC,CAAC,IAAI3I,GAAGF,EAAE,CAAC,KAAKg2B,EAAE,CAAC,EAAE,SAASC,GAAGztB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,EAAE,IAAI,kDAAkD,EAAE/f,GAAGsI,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,CAAC,IAAIvI,GAAGH,EAAE,CAAC,OAAOi2B,EAAE,CAAC,EAAE,SAASC,GAAG1tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAItI,GAAGJ,EAAE,CAAC,OAAOk2B,EAAE,CAAC,EAAE,SAASC,GAAG3tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIrI,GAAGL,EAAE,CAAC,OAAOm2B,EAAE,CAAC,EAAE,SAASC,GAAG5tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIpI,GAAGN,EAAE,CAAC,OAAOo2B,EAAE,CAAC,EAAE,SAASC,GAAG7tB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,gBAAgB,EAAEyX,EAAErX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,cAAcA,EAAE,sCAAsC,EAAE,QAAQ,EAAEqX,EAAEvX,EAAE,SAAS,EAAE,OAAO,IAAI,qBAAqBA,EAAE,wCAAwC,EAAE,QAAQ,EAAEuX,EAAErX,EAAE,MAAM,OAAO,CAAC,EAAE2B,EAAEC,IAAIA,EAAE,GAAGA,GAAG,EAAE,OAAO,IAAID,EAAE7B,EAAE8B,EAAE,GAAG,GAAG9B,EAAE8B,EAAE,GAAG,IAAI,EAAEA,EAAE,KAAK,EAAE,EAAE,EAAE,EAAE,IAAI,4BAA4B5B,EAAE,MAAM,MAAM,CAAC,mBAAmBF,EAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG,EAAE,IAAIG,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAU9zB,GAAGuV,EAAE,CAAC,CAAC,CAAC,IAAItE,GAAGvE,EAAE,CAAC,gBAAgBq2B,EAAE,CAAC,EAAE,SAASC,GAAG9tB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAGD,IAAI,IAAIA,EAAE,SAAS,IAAI2B,EAAE0d,EAAEzf,EAAE,IAAI,SAAS,EAAEgC,EAAED,EAAEE,EAAE,GAAGF,EAAE,OAAO,IAAIE,EAAE,GAAGD,EAAEtI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG0V,EAAEuO,GAAG,EAAE3lB,CAAC,EAAE,IAAI,qEAAqE,oBAAoBA,IAAI,EAAE,IAAIqC,EAAEyiB,GAAGnjB,EAAE,MAAM,EAAE,EAAE3B,EAAED,CAAC,EAAEuC,EAAE,CAACD,EAAE,eAAeA,EAAE,aAAa,EAAEE,EAAExC,IAAI,OAAOwC,EAAEmrB,GAAG,CAACrrB,EAAE,aAAaA,EAAE,WAAW,EAAEC,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEF,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,CAACG,EAAEkB,CAAC,EAAEgqB,GAAG,CAACtrB,EAAE,SAASA,EAAE,OAAO,EAAEC,EAAEC,CAAC,EAAE,EAAEC,EAAEzC,EAAE,QAAQkH,EAAEzE,EAAEb,EAAEjG,GAAGiG,EAAEW,EAAEG,CAAC,EAAE2B,GAAGvE,IAAI,MAAM,IAAIrS,GAAGyZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIxR,GAAGwR,EAAE,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE5C,EAAE7B,EAAE4B,EAAEnW,GAAGmW,EAAE9B,EAAEqB,CAAC,EAAE,OAAO/B,EAAEvI,EAAEgL,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,SAASspB,GAAGhuB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,IAAIwC,GAAGA,EAAE,EAAE,EAAErC,EAAEH,EAAE,IAAIwC,GAAGA,EAAE,EAAE,EAAE,EAAE1C,EAAE,OAAOI,EAAEC,CAAC,EAAE,EAAE,EAAE,IAAI,CAACqC,EAAEC,KAAKD,EAAE,EAAEC,GAAGD,GAAGA,CAAC,EAAEX,EAAE1B,EAAE,IAAI,CAACqC,EAAEC,IAAID,EAAE,EAAEC,EAAE,EAAEX,EAAE,EAAE,IAAI,CAACU,EAAEC,IAAI,CAACvC,EAAEuC,GAAGZ,EAAEY,EAAE,CAAC,EAAEV,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAI,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,MAAM,CAACX,EAAEC,CAAC,CAAC,CAAC,SAAS8rB,GAAG/tB,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,IAAI,CAAC8B,EAAEC,IAAID,GAAGA,EAAE,IAAI,EAAEC,GAAG,EAAE,EAAE,IAAID,GAAGA,EAAE,CAAC,EAAEzB,EAAE,EAAE,IAAIyB,GAAG,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAED,EAAE,EAAE,IAAI,CAACC,EAAEC,IAAID,EAAEzB,EAAE0B,EAAE,EAAE,OAAO,EAAE,IAAI,CAACD,EAAEC,IAAI,CAAC1B,EAAE0B,GAAGF,EAAEE,EAAE,CAAC,CAAC,CAAC,IAAIhK,GAAGP,EAAE,CAAC,MAAMs2B,EAAE,CAAC,EAAE,SAASG,GAAGjuB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,EAAEI,EAAEqf,EAAE,EAAE,QAAQ,OAAO,EAAEpf,EAAE,CAAC,EAAEH,EAAE,MAAME,CAAC,EAAE,OAAOwe,EAAE,UAAUn2B,GAAG4X,CAAC,CAAC,CAAC,IAAIpI,GAAGT,EAAE,CAAC,OAAOy2B,EAAE,CAAC,EAAE,SAASC,GAAGluB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,MAAM,EAAEI,EAAE,QAAQ,SAASA,EAAErR,GAAEqR,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAUl2B,GAAG2X,EAAE,CAAC,CAAC,CAAC,IAAIlI,GAAGX,EAAE,CAAC,MAAM02B,EAAE,CAAC,EAAE,SAASC,GAAGnuB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,EAAE,IAAI,CAAC0C,EAAEC,IAAI8c,EAAE/c,EAAE,UAAUC,IAAI,eAAe,OAAO,CAAC,EAAE,EAAE8c,EAAE,EAAE,oBAAoB,cAAc,EAAE,EAAEA,EAAEvf,EAAE,UAAU,eAAe,OAAO,EAAE6B,EAAE,CAAC,mBAAmB1B,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE2B,EAAE,CAAC,iBAAiB5B,CAAC,EAAE6B,EAAE2c,EAAE,UAAU/1B,GAAGkZ,EAAEC,CAAC,EAAE,MAAM,CAAC,mBAAmBC,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,kBAAkBA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,IAAI5J,GAAGb,EAAE,CAAC,cAAc22B,EAAE,CAAC,EAAE,SAASC,GAAGpuB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,aAAa,EAAEK,EAAEof,EAAE,EAAE,SAAS,cAAcrf,EAAE,KAAK,EAAE,EAAEqf,EAAEvf,EAAE,SAAS,cAAcE,EAAE,KAAK,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE0B,EAAE6c,EAAE,UAAU91B,GAAG,CAAC,EAAE,MAAM,CAAC,eAAeiZ,EAAE,GAAG,cAAcA,EAAE,EAAE,CAAC,CAAC,IAAIzJ,GAAGd,EAAE,CAAC,aAAa42B,EAAE,CAAC,EAAE,SAASC,GAAGruB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,uBAAuB,OAAO,EAAE,EAAEyf,EAAE,EAAE,SAAS,sBAAsB,EAAE1d,EAAE0d,EAAEvf,EAAE,eAAe,uBAAuB,EAAE,KAAK,EAAE8B,EAAE5B,EAAE,IAAI,CAACuC,EAAEC,IAAI6c,EAAE9c,EAAE,UAAUC,IAAI,uBAAuB,OAAO,CAAC,EAAEX,EAAE,CAAC,MAAM,EAAE,OAAO,EAAE,aAAaF,EAAE,oBAAoBC,CAAC,EAAEU,EAAE,CAAC,kBAAkBrC,CAAC,EAAE,OAAOue,EAAE,UAAU71B,GAAGkZ,EAAES,CAAC,CAAC,CAAC,IAAInK,GAAGf,EAAE,CAAC,sBAAsB62B,EAAE,CAAC,EAAE,SAASC,GAAGtuB,EAAE,EAAEE,EAAE,CAAC0Z,GAAG5Z,CAAC,EAAE,IAAII,EAAEyX,GAAG7X,CAAC,EAAEK,EAAE,KAAK,GAAGH,GAAG,MAAMA,IAAI,UAAUG,EAAE,IAAI,aAAaD,CAAC,UAAUF,IAAI,QAAQG,EAAE,IAAI,WAAWD,CAAC,UAAUF,IAAI,OAAOG,EAAE,IAAI,WAAWD,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,IAAIC,EAAE,GAAG,EAAE,EAAE,OAAOue,EAAE,WAAWve,EAAEL,EAAEE,CAAC,CAAC,CAAC,IAAI1H,GAAGhB,EAAE,CAAC,MAAM82B,EAAE,CAAC,EAAMC,GAAGjuB,GAAGgF,GAAG,CAAC,EAAM7H,GAAG,CAAC,EAAEwC,GAAGxC,GAAG,CAAC,qBAAqB,IAAI+wB,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,KAAKX,GAAG,GAAG,SAASI,GAAG5uB,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAEgvB,GAAG,GAAGE,GAAGpvB,EAAE,EAAE,CAACI,EAAEC,IAAIgvB,GAAGjvB,EAAEC,EAAEH,CAAC,CAAC,CAAC,CAAC,SAASgvB,IAAI,CAAC,OAAOtQ,EAAE,QAAQ,eAAe,IAAI,GAAGuQ,GAAGX,EAAE,CAAC,SAASY,GAAGpvB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,GAAG,IAAIib,GAAGrb,CAAC,GAAGqb,GAAG,CAAC,KAAKjb,EAAE,IAAIib,GAAGrb,CAAC,GAAGqb,GAAG,CAAC,IAAIjb,EAAE,IAAIA,EAAE,CAAC,IAAI,EAAEJ,EAAE,YAAY,KAAK+B,EAAE,EAAE,YAAY,KAAK,GAAG,IAAIA,EAAE,MAAM,IAAI,MAAM,yCAAyC,gBAAgBA,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQ/B,CAAC,GAAG,MAAM,QAAQ,CAAC,EAAE,CAAC,IAAI,EAAEsf,GAAGtf,CAAC,EAAE+B,EAAEud,GAAG,CAAC,EAAE,GAAG,CAAC3H,GAAG,EAAE5V,CAAC,EAAE,MAAM,IAAI,MAAM,0CAA0C,kBAAkBA,IAAI,CAAC,CAAC,IAAI1B,EAAEgb,GAAGrb,CAAC,EAAEA,EAAEmb,GAAGnb,CAAC,EAAE,EAAEqb,GAAG,CAAC,EAAE,EAAEF,GAAG,CAAC,EAAE,GAAG9a,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yCAAyCA,EAAE,uBAAuB,EAAE;AAAA,YACn7YA;AAAA,YACA,IAAI,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,GAAG2B,EAAE,EAAE,GAAG,GAAG,CAAC9B,EAAE6B,EAAEC,CAAC,EAAE,MAAM,IAAI,MAAM,yBAAyB,QAAQD,eAAe,QAAQC;AAAA,YACvI3B;AAAA,YACA,IAAI,CAAC,CAAC,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS0uB,GAAG/uB,EAAE,EAAE,CAACA,EAAE,EAAE,KAAK,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS6uB,GAAG7uB,EAAE,EAAE,CAAC,IAAIE,EAAE,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC,CAAC,EAAE,EAAE,OAAO6Y,GAAG/Y,CAAC,GAAG+Y,GAAG/Y,EAAE,EAAE,GAAG+Y,GAAG,CAAC,GAAGA,GAAG,EAAE,EAAE,EAAEqW,GAAGpvB,EAAEE,EAAE,CAACE,EAAEC,IAAID,GAAGC,CAAC,EAAE+uB,GAAGpvB,EAAE,EAAE,CAACI,EAAEC,IAAIgvB,GAAGjvB,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,SAASyuB,GAAG9uB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEgvB,GAAG,GAAG,CAACG,GAAGrvB,EAAE,EAAEE,CAAC,EAAE,MAAM,IAAI,MAAM,8BAA8BF,mBAAmB,GAAG,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAASqvB,GAAGrvB,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,SAASF,CAAC,GAAG,CAAC,SAAS,CAAC,EAAE,GAAG,EAAE,MAAMA,CAAC,GAAG,MAAM,CAAC,GAAG,KAAK,IAAIA,EAAE,CAAC,EAAEE,EAAE,CAAC,SAAS8uB,GAAGhvB,EAAE,EAAEE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,GAAGJ,EAAEI,GAAG,GAAGJ,EAAEI,GAAGF,EAAE,MAAM,IAAI,MAAM,sBAAsBF,EAAEI,WAAW,YAAYF,GAAG,CAAC,CAAC,SAASyuB,GAAG3uB,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,GAAGF,EAAE,SAASE,EAAE,OAAO,MAAM,IAAI,MAAM,wCAAwCA,EAAE,sBAAsBF,EAAE,QAAQ,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,GAAGH,EAAEG,KAAKD,EAAEC,GAAG,MAAM,IAAI,MAAM,iCAAiCA,WAAWD,EAAEC,cAAcH,EAAEG,YAAY,CAAC,CAAC,SAASquB,GAAG1uB,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAEwuB,GAAGxuB,CAAC,EAAEF,EAAE,GAAGgb,GAAG9a,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAASyuB,GAAGzuB,EAAE,CAAC,IAAI,EAAE,SAAS,cAAc,OAAO,EAAE,MAAM,gBAAgB,IAAI,EAAE,YAAY,IAAI,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,MAAM,SAAS,QAAQ,EAAE,MAAM,KAAK,MAAM,EAAE,MAAM,IAAI,MAAM,EAAE,QAAQ,OAAO,EAAE,YAAYA,CAAC,EAAE,IAAI,QAAQE,GAAG,CAAC,EAAE,iBAAiB,aAAaE,GAAGF,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,eAAe+uB,GAAGjvB,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,8BAA8BA,GAAG,MAAM,IAAI,QAAQ,GAAG,CAACA,EAAE,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsvB,GAAG,KAAK,CAAC,YAAY1uB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,KAAKjB,EAAE,KAAK,OAAOV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQ,IAAI,KAAK,UAAUG,EAAE,KAAK,YAAY,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,GAAG,IAAIyB,EAAED,GAAG,KAAK,OAAO,EAAE,KAAK,OAAO0sB,GAAG,KAAKzsB,EAAE,SAAS,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,CAAC,MAAM,KAAK,OAAO,EAAE,CAAC,IAAIzB,EAAE,KAAK,QAAQ,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,IAAIO,EAAEV,EAAE,EAAE,GAAG,KAAK,CAAC,GAAG,CAAC,IAAIG,EAAEwB,EAAEC,EAAE,GAAGzB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEwB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEC,EAAEzB,EAAEA,EAAEwB,EAAEA,QAAQC,GAAG,GAAGA,IAAI,GAAG,IAAIC,EAAE,KAAK,KAAK,GAAG,KAAK,IAAID,CAAC,EAAEA,CAAC,EAAElB,EAAE,KAAK,KAAK,KAAK,OAAOP,EAAE0B,EAAE7B,EAAE,KAAK,KAAK,KAAK,OAAO2B,EAAEE,GAAG,CAAC,KAAK,WAAW,KAAK,iBAAiBnB,CAAC,KAAK,EAAE,GAAG,CAAC,OAAO,CAAC,KAAK,WAAW,KAAK,iBAAiBV,CAAC,KAAK,KAAK,QAAQ,KAAK,aAAaA,CAAC,GAAG,KAAK,aAAaU,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,iBAAiBA,EAAE,CAAC,OAAOA,GAAG,KAAK,OAAOA,GAAG,KAAK,KAAK,CAAC,EAAE2uB,GAAG,KAAK,CAAC,YAAY3uB,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,MAAMO,EAAE,KAAK,KAAK,EAAEV,EAAE,KAAK,MAAM,EAAE,IAAI2B,EAAExB,GAAG,KAAK,OAAO,EAAE,KAAK,MAAMkuB,GAAG,KAAK1sB,EAAE,SAAS,CAAC,EAAE,KAAK,MAAM,IAAIytB,GAAG,EAAE,EAAE,EAAE,GAAG,KAAK,MAAM,CAAC,EAAE1uB,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,OAAO,CAAC,GAAGzB,EAAE,KAAK,MAAM,UAAU,EAAEyB,EAAE,EAAE,KAAK,EAAEzB,QAAQyB,GAAG,GAAG,GAAGA,GAAGA,EAAEA,EAAElB,EAAEP,EAAEA,EAAEH,EAAE,EAAE,KAAKU,EAAEA,EAAE,EAAE,GAAGA,EAAE,KAAK,GAAG,EAAEkB,EAAE,KAAK,IAAIA,CAAC,GAAGD,EAAE,KAAK,MAAM,EAAEA,EAAE3B,GAAG,KAAK,IAAI2B,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAEA,EAAE,KAAK,MAAM,IAAIA,GAAG,KAAK,IAAI,KAAK,MAAM,EAAE,EAAE,KAAK,KAAK,GAAG,KAAK,aAAaA,CAAC,CAAC,CAAC,aAAalB,EAAE,CAAC,OAAO,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE4uB,GAAG,KAAK,CAAC,YAAY5uB,EAAE,EAAEV,EAAE,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,eAAe,IAAI,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAU,KAAK,IAAIO,EAAE,KAAK,MAAMV,EAAEU,EAAE,KAAK,MAAM,EAAEP,GAAG,OAAOA,EAAE,KAAK,OAAO,GAAG,OAAOA,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,CAAC,KAAK,eAAe,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,MAAM,0BAA0BO,OAAOV,+BAA+B,EAAE,KAAK,OAAOquB,GAAG,KAAKluB,CAAC,CAAC,CAAC,aAAaO,EAAE,CAAC,OAAO,KAAK,eAAe,EAAEA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,WAAW,CAAC,OAAO,KAAK,aAAa,KAAK,IAAI,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,CAAC,EAAE,SAAS6uB,GAAGzvB,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAUC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEE,GAAG,OAAOA,EAAE,GAAGE,GAAG,OAAOA,EAAE,WAAWA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAImvB,GAAG,EAAErvB,EAAEE,EAAEC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAItJ,GAAGjB,EAAE,CAAC,aAAai4B,EAAE,CAAC,EAAE,SAASC,GAAG1vB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEI,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAIkvB,GAAG,EAAEpvB,EAAEE,EAAE,GAAGC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIrJ,GAAGlB,EAAE,CAAC,cAAck4B,EAAE,CAAC,EAAE,SAASC,GAAG3vB,EAAE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyB,GAAG,EAAE,OAAOxH,GAAGsH,EAAE,EAAE,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIvH,GAAGnB,EAAE,CAAC,sBAAsBm4B,EAAE,CAAC,EAAE,SAASC,GAAG5vB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAUC,EAAE,CAACuZ,GAAG5Z,CAAC,EAAE,IAAI,EAAEnR,GAAGmR,EAAEI,CAAC,EAAE,EAAE,IAAIovB,GAAG,EAAEtvB,EAAE,KAAKG,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAInJ,GAAGpB,EAAE,CAAC,eAAeo4B,EAAE,CAAC,EAAE,SAAS/2B,GAAGmH,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGF,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,IAAIG,EAAE,CAAC,MAAML,EAAE,KAAK,EAAE,KAAKE,EAAE,MAAME,CAAC,EAAE,OAAOwe,EAAE,UAAU51B,GAAG,CAAC,EAAEqX,CAAC,CAAC,CAAC,SAASwvB,GAAG7vB,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAMuf,EAAEzf,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU11B,GAAGgX,CAAC,CAAC,CAAC,IAAInH,GAAGvB,EAAE,CAAC,MAAMq4B,EAAE,CAAC,EAAE,SAASC,GAAG9vB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,CAAC,EAAE,OAAO4e,EAAE,UAAUx1B,GAAG8W,CAAC,CAAC,CAAC,IAAIlH,GAAGxB,EAAE,CAAC,YAAYs4B,EAAE,CAAC,EAAE,SAASC,GAAG/vB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUt1B,GAAG4W,CAAC,CAAC,CAAC,IAAI3G,GAAG/B,EAAE,CAAC,MAAMu4B,EAAE,CAAC,EAAE,SAASC,GAAGhwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUr1B,GAAG2W,CAAC,CAAC,CAAC,IAAI1G,GAAGhC,EAAE,CAAC,OAAOw4B,EAAE,CAAC,EAAE,SAASC,GAAGjwB,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAU/0B,GAAG,EAAEwW,CAAC,CAAC,CAAC,IAAI1G,GAAGnC,EAAE,CAAC,SAASy4B,EAAE,CAAC,EAAE,SAASC,GAAGlwB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAE,EAAE,OAAO,EAAE,IAAI,qDAAqD,EAAE,OAAO,EAAE9d,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIC,GAAGpC,EAAE,CAAC,WAAW04B,EAAE,CAAC,EAAE,SAASC,GAAGnwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAIrG,GAAGrC,EAAE,CAAC,WAAW24B,EAAE,CAAC,EAAE,SAASC,GAAGpwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAIpG,GAAGtC,EAAE,CAAC,WAAW44B,EAAE,CAAC,EAAE,SAASC,GAAGrwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAInG,GAAGvC,EAAE,CAAC,WAAW64B,EAAE,CAAC,EAAE,SAASC,GAAGtwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU70B,GAAGmW,CAAC,CAAC,CAAC,IAAIjG,GAAGzC,EAAE,CAAC,OAAO84B,EAAE,CAAC,EAAE,SAASC,GAAGvwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU50B,GAAGkW,CAAC,CAAC,CAAC,IAAIhG,GAAG1C,EAAE,CAAC,OAAO+4B,EAAE,CAAC,EAAE,SAASC,GAAGxwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUv0B,GAAG6V,CAAC,CAAC,CAAC,IAAI3F,GAAG/C,EAAE,CAAC,MAAMg5B,EAAE,CAAC,EAAE,SAASC,GAAGzwB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,iBAAiB,EAAEgC,EAAEyd,EAAE,EAAE,kBAAkB,iBAAiB,EAAExd,EAAEwd,EAAEvf,EAAE,kBAAkB,iBAAiB,EAAEwC,EAAEX,EAAEY,EAAE,GAAG,GAAGZ,EAAE,OAAO,IAAIY,EAAE,GAAGD,EAAEhJ,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,OAAO,MAAM,IAAI,MAAM,oFAAoF,EAAE0V,EAAE/U,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE+U,EAAEzV,EAAE,OAAO,EAAE,IAAI,2EAA2EA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,2EAA2ED,EAAE,OAAO,EAAEyV,EAAExV,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAEwV,EAAExV,EAAE,MAAM,KAAK,EAAE,IAAI,yFAAyFA,EAAE,MAAM,KAAK,EAAE,IAAIW,EAAEZ,EAAE,MAAM,GAAGa,EAAEb,EAAE,MAAM,GAAGyV,EAAExV,EAAE,MAAM,KAAKW,EAAEC,EAAE,IAAI,6EAA6ED,EAAEC,cAAcZ,EAAE,MAAM,KAAK,EAAE,IAAIa,EAAEpS,GAAGgS,EAAEV,EAAE5B,EAAEC,EAAE,EAAE,CAAC,EAAE4D,EAAEtU,GAAGmT,EAAEb,EAAE,EAAE,QAAQ,CAAC,EAAE,OAAOU,EAAEjJ,EAAEuK,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIzJ,GAAGhD,EAAE,CAAC,iBAAiBi5B,EAAE,CAAC,EAAE,eAAeC,GAAG1wB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,EAAEI,EAAEqf,EAAE,EAAE,IAAI,WAAW,EAAEhI,EAAEvX,EAAE,QAAQE,EAAE,MAAM,IAAI,kDAAkDF,EAAE,iBAAiBE,EAAE,SAAS,EAAEqX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAEuX,EAAErX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE,IAAIC,EAAE,MAAMH,EAAE,KAAK,EAAE,EAAE,MAAME,EAAE,KAAK,EAAE,EAAE,IAAI,IAAI,CAAC,EAAE2B,EAAE,EAAE,QAAQW,EAAE,EAAEA,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,GAAGX,IAAI,IAAIC,EAAE,IAAI7V,GAAG,CAAC4V,CAAC,EAAE7B,EAAE,KAAK,EAAE+B,EAAE,IAAI9V,GAAG,CAAC4V,CAAC,EAAE,OAAO,EAAE,QAAQW,EAAE,EAAEC,EAAE,EAAED,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,EAAE,IAAIV,EAAE,OAAOW,GAAGtC,EAAEqC,GAAGT,EAAE,OAAOU,GAAGD,EAAEC,KAAK,MAAM,CAACX,EAAE,SAAS,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,IAAIhH,GAAGy1B,GAAG,SAASC,GAAG3wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUp0B,GAAG0V,CAAC,CAAC,CAAC,IAAI/E,GAAG3D,EAAE,CAAC,MAAMm5B,EAAE,CAAC,EAAE,SAASC,GAAG5wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUn0B,GAAGyV,CAAC,CAAC,CAAC,IAAI7E,GAAG7D,EAAE,CAAC,KAAKo5B,EAAE,CAAC,EAAE,SAASC,GAAG7wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUl0B,GAAGwV,CAAC,CAAC,CAAC,IAAI5E,GAAG9D,EAAE,CAAC,MAAMq5B,EAAE,CAAC,EAAE,SAASC,GAAG9wB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,CAAC,CAAC,EAAE,CAACF,CAAC,CAAC,CAAC,CAAC,IAAI1E,GAAGhE,EAAE,CAAC,SAASs5B,EAAE,CAAC,EAAE,SAASC,GAAG/wB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIzE,GAAGjE,EAAE,CAAC,SAASu5B,EAAE,CAAC,EAAE,SAASC,GAAGhxB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIxE,GAAGlE,EAAE,CAAC,SAASw5B,EAAE,CAAC,EAAE,SAASC,GAAGjxB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIvE,GAAGnE,EAAE,CAAC,SAASy5B,EAAE,CAAC,EAAE,SAASC,GAAGlxB,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,UAAU,SAAS,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,4EAA4EA,EAAE,oBAAoB,GAAG,EAAE,IAAIE,EAAE,CAAC,OAAOF,CAAC,EAAEG,EAAE,CAAC,IAAI,CAAC,EAAE,OAAOue,EAAE,UAAUh0B,GAAGwV,EAAEC,CAAC,CAAC,CAAC,IAAIxE,GAAGrE,EAAE,CAAC,SAAS05B,EAAE,CAAC,EAAE,SAASC,GAAGnxB,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,YAAY,IAAI,6DAA6DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO4e,EAAE,UAAUz6B,GAAG,CAAC,CAAC,CAAC,IAAIiO,GAAGoF,EAAE,CAAC,KAAK25B,EAAE,CAAC,EAAE,SAASC,GAAGpxB,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,YAAY,IAAI,8DAA8DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO4e,EAAE,UAAUz5B,GAAG,CAAC,CAAC,CAAC,IAAIsO,GAAG+D,EAAE,CAAC,MAAM45B,EAAE,CAAC,EAAE,SAASC,GAAGrxB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGE,EAAEF,EAAE,KAAK,EAAEI,EAAE,GAAG,GAAG,EAAE,CAAC,IAAIC,EAAE3G,EAAEsG,EAAE,CAACE,EAAE,CAAC,CAAC,EAAEE,EAAE3M,GAAG4M,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAACH,EAAE,GAAG,EAAE,EAAE,EAAE,EAAExG,EAAEX,GAAGiH,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE,EAAExG,EAAEhG,GAAGsM,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE6B,EAAEpI,GAAG4B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC2E,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE8B,EAAElL,EAAE6C,GAAG4B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC2E,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE/F,GAAG,EAAE,CAAC,EAAE8H,EAAE7S,GAAG,CAAC,EAAE2S,CAAC,EAAE,CAAC,EAAEW,EAAEtT,GAAG,CAAC,EAAE4S,CAAC,EAAE,CAAC,EAAEW,EAAEjJ,EAAEvK,GAAG8S,EAAES,CAAC,EAAE,CAACrC,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAED,EAAE3M,GAAGkP,CAAC,CAAC,CAAC,GAAGvC,EAAErH,GAAGqH,CAAC,EAAEJ,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIK,EAAED,EAAE,EAAEJ,EAAE,MAAM,GAAGI,EAAE1G,EAAE0G,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAEC,EAAE,QAAQ,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIpM,GAAGwD,EAAE,CAAC,OAAO65B,EAAE,CAAC,EAAE,SAASC,GAAGtxB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE6B,EAAE,CAAC,gBAAgB,EAAE,KAAK3B,CAAC,EAAE,OAAO0e,EAAE,UAAUxzB,GAAGiV,EAAEwB,CAAC,CAAC,CAAC,IAAI1F,GAAG3E,EAAE,CAAC,OAAO85B,EAAE,CAAC,EAAE,SAASC,GAAGvxB,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,UAAU,IAAI,mDAAmDA,EAAE,OAAO,EAAE,IAAIE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGI,EAAEJ,EAAE,KAAKE,EAAEG,EAAE,GAAG,GAAG,MAAM,EAAEH,EAAE,CAAC,IAAI4C,EAAE9C,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEgE,EAAEhE,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEgE,EAAEhE,EAAE,MAAM,OAAO,GAAG,EAAEK,EAAE9E,GAAGyE,EAAE8C,EAAEkB,CAAC,EAAE9D,EAAE,CAAC,SAAS,GAAG,MAAM,EAAEA,EAAE,CAAC,IAAI4C,EAAE9C,EAAE,MAAM,IAAIgE,GAAGA,CAAC,EAAElB,EAAE9C,EAAE,MAAM,OAAO,GAAG,EAAEE,EAAEG,EAAEjR,GAAG,CAAC4Q,EAAET,GAAGuD,CAAC,CAAC,EAAE9C,EAAE,MAAM,OAAO,CAAC,EAAEE,EAAE,CAAC,MAAMG,EAAEL,EAAE,IAAI,EAAER,GAAGa,CAAC,EAAE,EAAE3G,EAAEvK,GAAGkR,EAAE,CAAC,EAAE,CAACD,EAAEF,CAAC,CAAC,EAAE6B,EAAE3P,GAAG,CAAC,EAAE4P,EAAE,KAAK,MAAM9B,EAAE,CAAC,EAAE,EAAE+B,EAAElJ,GAAGgJ,CAAC,EAAEW,EAAEhP,GAAGqO,CAAC,EAAEY,EAAExG,GAAG8F,EAAE,CAACD,EAAE9B,EAAE8B,CAAC,EAAEC,EAAE,MAAM,OAAO,CAAC,EAAEW,EAAEzG,GAAGuG,EAAE,CAACV,EAAE9B,EAAE8B,CAAC,EAAEU,EAAE,MAAM,OAAO,CAAC,EAAEG,EAAExC,EAAE,MAAM,MAAM,EAAE,OAAOwC,EAAExC,EAAE,MAAM,OAAO,GAAG2B,EAAEtI,EAAEvK,GAAGwT,EAAE,GAAGC,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAI7I,GAAGxC,EAAE,CAAC,MAAM+5B,EAAE,CAAC,EAAE,SAASC,GAAGxxB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOwe,EAAE,UAAUrzB,GAAG8U,EAAE,CAAC,CAAC,CAAC,IAAI/D,GAAG9E,EAAE,CAAC,mBAAmBg6B,EAAE,CAAC,EAAE,SAASC,GAAGzxB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAE,OAAOtG,EAAEwG,EAAEqY,GAAGrY,EAAE,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI3D,GAAG/E,EAAE,CAAC,SAASi6B,EAAE,CAAC,EAAE,SAASC,GAAG1xB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEwf,GAAG1f,EAAE,UAAU,QAAQ,mBAAmB,EAAEyX,EAAEvX,EAAE,QAAQ,EAAE,IAAI,sCAAsC,EAAEA,EAAE,OAAO,GAAGuX,EAAE,GAAGvX,EAAE,GAAG,KAAK,IAAI,oCAAoC,EAAE,IAAIE,EAAEF,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUv2B,GAAG+X,EAAEC,CAAC,CAAC,CAAC,IAAI7D,GAAGhF,EAAE,CAAC,OAAOk6B,EAAE,CAAC,EAAE,SAASC,GAAG3xB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUpzB,GAAG,EAAE6U,CAAC,CAAC,CAAC,IAAI5D,GAAGjF,EAAE,CAAC,MAAMm6B,EAAE,CAAC,EAAE,SAASC,GAAG5xB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE+c,EAAEzf,EAAE,IAAI,eAAe,mBAAmB,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAIE,EAAE,QAAQE,EAAE,UAAUC,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,OAAO4c,EAAE,UAAUnzB,GAAGiX,EAAE,CAAC,CAAC,CAAC,IAAIhG,GAAGlF,EAAE,CAAC,cAAco6B,EAAE,CAAC,EAAE,SAASC,GAAG7xB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU5yB,GAAGkU,CAAC,CAAC,CAAC,IAAInD,GAAGvF,EAAE,CAAC,KAAKq6B,EAAE,CAAC,EAAE,SAAS30B,GAAG8C,EAAE,EAAE,CAAC4X,GAAG5X,CAAC,EAAE,IAAIE,EAAEof,GAAGtf,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,OAAO0f,GAAG5f,EAAE,KAAKE,EAAE,CAAC,CAAC,CAAC,SAAS/C,GAAG6C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,8EAA8E,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS9C,GAAG4C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,iDAAiD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kEAAkE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS7C,GAAG2C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS5C,GAAG0C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS3C,GAAGyC,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,wEAAwE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO,EAAE,GAAGA,EAAEwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS4xB,GAAG9xB,EAAE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,MAAM,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6C,GAAG,EAAE,GAAG,EAAEC,EAAE,MAAM,IAAI,MAAM,uDAAuDA,cAAc,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAOF,CAAC,EAAE,CAAC6B,EAAEC,CAAC,EAAE4c,EAAE,UAAUvyB,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,OAAO0V,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAInE,GAAGrG,EAAE,CAAC,MAAMs6B,EAAE,CAAC,EAAE,SAASC,GAAG/xB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEI,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE,IAAIkvB,GAAG,EAAEpvB,EAAEE,EAAE,GAAGC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,GAAG,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI/D,GAAGxG,EAAE,CAAC,iBAAiBu6B,EAAE,CAAC,EAAE,SAASC,GAAGhyB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,mBAAmB,EAAEyX,EAAEvX,EAAE,KAAK,EAAE,IAAI,sCAAsC,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEue,EAAE,UAAUpyB,GAAG4T,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIpC,GAAGzG,EAAE,CAAC,QAAQw6B,EAAE,CAAC,EAAE,SAASC,GAAGjyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,oBAAoB,EAAEK,EAAEof,EAAE,EAAE,aAAa,qBAAqB,OAAO,EAAEhI,EAAEM,GAAG7X,CAAC,EAAE,IAAI,kCAAkC,EAAE,IAAI,EAAE,CAAC,EAAEE,EAAE,WAAWC,CAAC,EAAE,EAAE,CAAC,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUlyB,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI0R,GAAG5G,EAAE,CAAC,oBAAoBy6B,EAAE,CAAC,EAAE,SAASC,GAAGlyB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAEyX,EAAE,GAAG,CAACvX,EAAE,MAAM,QAAQ,EAAEA,EAAE,MAAM,OAAO,IAAI,UAAU,iBAAiBA,EAAE,MAAM,WAAWA,EAAE,MAAM,SAAS,EAAE,IAAIE,EAAE,CAAC,MAAMF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUnyB,GAAG2T,EAAEC,CAAC,CAAC,CAAC,IAAIhC,GAAG7G,EAAE,CAAC,SAAS06B,EAAE,CAAC,EAAE,SAAS3zB,GAAGyB,EAAE,EAAE,CAAC,OAAO1F,GAAG0F,EAAE,EAAE,OAAO,CAAC,CAAC,SAASrB,GAAGqB,EAAE,EAAE,GAAGE,EAAEE,EAAE,CAAC,OAAOwe,EAAE,aAAa5e,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAAS+xB,GAAGnyB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,IAAIA,EAAE,KAAK,CAAC,EAAE,IAAIE,EAAEvR,GAAGmR,EAAE,OAAO,EAAEK,EAAExR,GAAG,CAACqR,EAAE,OAAOF,EAAE,MAAM,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,OAAO,IAAI,CAAC,IAAI,EAAEE,EAAE,WAAWF,EAAE,EAAE,EAAE6B,EAAE,EAAE/B,EAAE,OAAOK,EAAE,OAAO,IAAI,EAAE0B,CAAC,CAAC,CAAC,OAAO1B,EAAE,SAAS,CAAC,CAAC,eAAe+xB,GAAGpyB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,YAAY,aAAa,MAAM,EAAEE,EAAE,MAAM,EAAE,KAAK,EAAEE,EAAE+xB,GAAG,EAAE,MAAMjyB,CAAC,EAAE,OAAOF,IAAI,GAAG,EAAE,QAAQ,EAAEI,CAAC,CAAC,IAAId,GAAG8yB,GAAG,eAAeC,GAAGryB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,UAAU,EAAEK,EAAEof,EAAE,EAAE,OAAO,WAAW,MAAM,EAAE,EAAEvf,GAAG,KAAK,EAAEA,EAAE,EAAEG,EAAE,KAAK0B,EAAE3B,EAAE,MAAMqX,EAAE,EAAE,EAAE,IAAI,uBAAuB,EAAEC,GAAG3V,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE1B,EAAE,MAAM,mEAAmE,EAAE,IAAI2B,EAAE,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAIhC,GAAGD,EAAEiC,GAAG,IAAI/B,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,CAACC,CAAC,EAAED,EAAE,MAAM,EAAE,CAAC,CAAC,EAAEW,EAAEhJ,EAAE0G,EAAE6B,CAAC,EAAEU,EAAEjJ,EAAE2G,EAAE,CAAC,EAAE,CAAC,EAAEuC,EAAE,MAAMtD,GAAGqD,CAAC,EAAEE,EAAEtG,GAAGqG,EAAE,CAAC,CAAC,CAAC,EAAEE,EAAElQ,GAAG8P,EAAEG,EAAE,CAAC,EAAE,OAAO7C,IAAII,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEwC,EAAE,QAAQ,EAAEH,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEE,CAAC,CAAC,IAAItU,GAAG6jC,GAAG,SAASC,GAAGtyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAE,GAAG,GAAG,OAAO,EAAEI,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,QAAQ,GAAG0V,EAAErX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,EAAE,QAAQ,GAAG,CAACqX,EAAE,GAAG,GAAG,EAAErX,EAAE,KAAK,IAAI,+CAA+CA,EAAE,KAAK,aAAa,GAAG,CAAC,CAAC,EAAEA,EAAE,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOA,EAAE,QAAQ,YAAY1C,EAAE,IAAI,CAAC,IAAI,EAAE3E,GAAGqH,CAAC,EAAE2B,EAAErO,GAAG0M,CAAC,EAAE,OAAO,EAAEwe,EAAE,UAAUryB,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEwV,EAAE6c,EAAE,UAAUryB,GAAG,CAAC,EAAEwV,CAAC,EAAE,CAAC,EAAE7B,IAAI6B,EAAE9K,GAAG8K,CAAC,GAAG5S,GAAG,EAAE4S,CAAC,CAAC,CAAC,EAAE6c,EAAE,UAAUryB,GAAG8T,EAAE,CAAC,CAAC,CAAC,IAAItC,GAAGvG,EAAE,CAAC,WAAW86B,EAAE,CAAC,EAAE,SAASC,GAAGvyB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,eAAe,EAAE,EAAEyf,EAAE,EAAE,IAAI,eAAe,EAAE1d,EAAE0d,EAAEvf,EAAE,QAAQ,eAAe,EAAE4d,GAAG,EAAE,CAAC,EAAErG,EAAEE,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,IAAI,2BAA2B,EAAE,IAAI3V,EAAE7H,GAAG,CAAC,EAAE8H,EAAErF,GAAGoF,EAAED,CAAC,EAAEW,EAAE5L,EAAE8F,GAAG,EAAE,CAAC,EAAEqF,CAAC,EAAE,GAAG5B,EAAE,CAACoX,EAAErX,GAAG,KAAK,IAAI,gDAAgD,EAAE,IAAIuC,EAAE8c,EAAErf,EAAE,OAAO,eAAe,EAAEsC,EAAExR,GAAGwR,EAAE9F,GAAGoF,EAAEhK,GAAG+J,EAAEY,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzV,EAAE,EAAEwV,CAAC,CAAC,CAAC,IAAI7L,GAAGW,EAAE,CAAC,eAAe+6B,EAAE,CAAC,EAAMl4B,GAAG,CAAC,EAAE4F,GAAG5F,GAAG,CAAC,gBAAgB,IAAIm4B,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAG1yB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,KAAK,EAAE,EAAE,MAAM,EAAE,KAAK,GAAG,EAAEC,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,6FAA6FH,EAAE,yBAAyB,EAAE,iBAAiBF,gBAAgBI,oBAAoBC,KAAK,GAAGH,EAAE,KAAKG,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkBA,KAAK,EAAE,GAAGL,EAAE,OAAOI,GAAGF,EAAE,KAAKG,GAAG,MAAM,IAAI,MAAM,EAAE,0BAA0BD,GAAGF,EAAE,KAAKG,IAAI,EAAE,GAAGH,EAAE,OAAOG,EAAEL,EAAE,OAAOI,EAAE,MAAM,IAAI,MAAM,EAAE,mBAAmBC,EAAEL,EAAE,OAAOI,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGH,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,OAAOA,EAAE,MAAM,wBAAwB,OAAO,EAAE,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,KAAKG,EAAE,EAAE,EAAE,GAAGH,EAAE,MAAM,EAAEG,KAAKL,EAAE,EAAEI,GAAG,MAAM,IAAI,MAAM,EAAE,kBAAkB,EAAEC,OAAOH,EAAE,MAAM,EAAEG,gBAAgB,EAAEA,OAAOL,EAAE,EAAEK,KAAK,CAAC,CAAC,SAASoyB,GAAGzyB,EAAE,EAAEE,EAAE,CAAC,GAAG,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO,EAAE,GAAGF,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+EA,EAAE,OAAO,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,6DAA6DA,GAAG,EAAE,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsDA,EAAE,OAAO,CAAC,CAAC0yB,GAAGxyB,EAAE,EAAEF,CAAC,CAAC,CAAC,SAASwyB,GAAGxyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,MAAM,OAAOC,EAAED,EAAE,EAAE,EAAE,MAAMA,EAAE,GAAG,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,QAAQyC,EAAEtC,EAAEsC,EAAE,EAAE,EAAEA,EAAE,GAAGzC,EAAEyC,GAAG,IAAIZ,EAAE1B,EAAE,EAAE,EAAEA,EAAE2B,EAAE6V,GAAG,EAAE,KAAK,EAAE9V,EAAEE,EAAE,CAAC,GAAGoX,GAAGnZ,EAAE,MAAM,EAAEG,CAAC,CAAC,EAAE,CAAC,EAAEqC,EAAEmV,GAAG3X,CAAC,EAAE,MAAM,CAAC,UAAUG,EAAE,WAAW2B,EAAE,UAAU,EAAE,QAAQC,EAAE,WAAWS,CAAC,CAAC,CAAC,SAASiwB,GAAG3yB,EAAE,EAAEE,EAAE,CAAC0Z,GAAG1Z,CAAC,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,UAAU,YAAY,OAAO,EAAEK,EAAEof,EAAE,EAAE,UAAU,WAAW,EAAEgT,GAAGpyB,EAAED,EAAEF,CAAC,EAAE,IAAI,EAAE,CAAC,QAAQE,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,MAAMH,CAAC,EAAE,OAAO0e,EAAE,UAAU10B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIkQ,GAAG5C,EAAE,CAAC,WAAWm7B,EAAE,CAAC,EAAE,SAASC,GAAG5yB,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,8EAA8EA,EAAE,QAAQ,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,QAAQ,EAAE,IAAIK,EAAEL,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,EAAEA,EAAE,KAAK,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kDAAkDA,EAAE,sBAAsB,IAAI,EAAE,IAAI,EAAE,EAAE,KAAK,GAAG,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,GAAG,IAAIG,GAAG,MAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2BA,IAAI,EAAE,GAAG,EAAE,QAAQD,EAAE,MAAM,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,SAASyyB,GAAG7yB,EAAE,EAAEE,EAAEE,EAAE,EAAE,CAACwZ,GAAG1Z,CAAC,EAAE,IAAIG,EAAEof,EAAEzf,EAAE,gBAAgB,gBAAgB,OAAO,EAAE,EAAEyf,EAAE,EAAE,eAAe,gBAAgB,mBAAmB,EAAE,EAAEA,EAAErf,EAAE,eAAe,gBAAgB,EAAE,KAAK,EAAEwyB,GAAGvyB,EAAE,EAAEH,EAAE,CAAC,EAAE,IAAI6B,EAAE,CAAC,cAAc1B,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE2B,EAAE,CAAC,YAAY9B,CAAC,EAAE,OAAO0e,EAAE,UAAUzzB,GAAG4W,EAAEC,CAAC,CAAC,CAAC,IAAI/F,GAAGzE,EAAE,CAAC,eAAeq7B,EAAE,CAAC,EAAE,SAASC,GAAG9yB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAE,EAAE,UAAU,WAAW,OAAO,EAAEpf,EAAE,CAAC,OAAOof,EAAEzf,EAAE,IAAI,WAAW,mBAAmB,EAAE,QAAQE,CAAC,EAAE,OAAO0e,EAAE,UAAU/5B,GAAGwb,CAAC,CAAC,CAAC,IAAIxN,GAAG2E,EAAE,CAAC,UAAUs7B,EAAE,CAAC,EAAE,SAASC,GAAG/yB,EAAE,EAAE,CAAC,GAAG,GAAG,KAAK,OAAOA,EAAE,MAAM,MAAM,EAAE,GAAG2X,GAAG3X,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,MAAM,OAAOI,IAAI,EAAEA,IAAI,MAAMJ,EAAE,MAAMI,IAAI,KAAKF,EAAE,KAAKF,EAAE,MAAMI,EAAE,EAAEF,EAAE,KAAK,EAAEE,EAAE,EAAE,OAAOF,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS8yB,GAAGhzB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,SAAS,EAAE,GAAGyX,EAAEpX,EAAE,QAAQ,UAAU,IAAI,gFAAgFA,EAAE,uBAAuB,EAAEoX,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,qDAAqD,IAAI,EAAE,IAAI,EAAE,OAAOzX,aAAa9T,GAAGmU,EAAE,MAAM,EAAEA,EAAE,IAAI,EAAE0yB,GAAG1yB,EAAEH,CAAC,EAAE,EAAE,EAAE,EAAE6B,EAAE7Q,GAAGsB,GAAGtF,EAAE0L,GAAG,EAAE,EAAE,EAAE,UAAUwH,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,OAAOtJ,EAAEuJ,EAAE0B,CAAC,CAAC,CAAC,IAAI1Q,GAAGmG,EAAE,CAAC,SAASw7B,EAAE,CAAC,EAAE,SAASthC,GAAGsO,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,IAAI,EAAE,KAAK,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS9P,GAAG8P,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEJ,EAAE,EAAEK,EAAE,IAAI,aAAaL,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,GAAG,GAAGA,EAAEI,EAAE,GAAGC,EAAE,GAAG,EAAEH,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,OAAOhD,GAAGmD,EAAE,SAAS,CAAC,CAAC,eAAe4yB,GAAGjzB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,cAAc,QAAQ,EAAEK,EAAEof,EAAE,EAAE,UAAU,QAAQ,EAAEhI,EAAErX,EAAE,KAAK,EAAE,IAAI,uEAAuEA,EAAE,MAAM,EAAEqX,EAAErX,EAAE,KAAK,IAAIC,EAAE,KAAK,IAAI,mFAAmFD,EAAE,yBAAyBC,EAAE,MAAM,EAAEqX,GAAGtX,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAEC,EAAE,MAAM,yFAAyF,EAAE,IAAI,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGqX,EAAEvX,EAAE,GAAGA,GAAG,EAAE,IAAI,4EAA4E,eAAeA,GAAG,EAAE,IAAI,EAAE,MAAME,EAAE,KAAK,EAAE2B,EAAE,MAAM1B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,CAAC,EAAE,CAAC,EAAE,OAAO,EAAE,CAAC,EAAES,EAAE8V,GAAG,OAAOxW,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAEW,IAAI,CAAC,IAAIC,EAAED,EAAEV,EAAEY,EAAE,EAAE,SAASD,EAAEA,EAAEX,CAAC,EAAEa,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAIlB,EAAE,KAAK,CAAC,MAAMD,EAAEmB,GAAG,MAAMA,CAAC,CAAC,EAAElB,EAAE,KAAK,CAACkB,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAEtB,EAAEC,GAAG,EAAE,QAAQqB,EAAE,EAAEA,EAAE9D,EAAE8D,IAAI,GAAGlB,EAAEkB,GAAG,QAAQjC,EAAEY,GAAG,CAACD,EAAEC,GAAG,EAAE,KAAK,CAAC,CAAC,OAAO3C,IAAII,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEpD,GAAGyF,EAAErC,EAAE,MAAM,MAAM,CAAC,CAAC,IAAIzM,GAAGq/B,GAAOtgC,GAAG,CAAC,EAAEsN,GAAGtN,GAAG,CAAC,OAAO,IAAIugC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAGrzB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE/B,EAAEA,EAAE,OAAO,IAAI+B,EAAErI,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIgC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,QAAQ,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,QAAQ,EAAEyV,EAAEvX,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE,IAAI+B,EAAE,IAAI,OAAOF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGW,EAAE,IAAI,OAAOV,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGyV,EAAExV,IAAI/B,EAAE,GAAG,IAAI,4CAA4C+B,wCAAwC/B,EAAE,KAAK,EAAEuX,EAAE/U,IAAIxC,EAAE,GAAG,IAAI,0CAA0CwC,0CAA0CxC,EAAE,MAAM,EAAEgmB,GAAG,kBAAkB7lB,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,EAAEZ,EAAE,GAAGC,CAAC,EAAEY,EAAE,CAAC,QAAQxC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUz8B,GAAGwgB,EAAEC,CAAC,CAAC,CAAC,IAAI0wB,GAAG97B,EAAE,CAAC,sBAAsB67B,EAAE,CAAC,EAAE,SAASE,GAAGvzB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMA,IAAI,SAAS,OAAOF,EAAE,GAAGE,IAAI,OAAO,OAAOpJ,EAAEkJ,EAAEvD,GAAG,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gDAAgDyD,IAAI,CAAC,CAAC,SAASszB,GAAGxzB,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAE2oB,GAAG/oB,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOI,EAAE,OAAO,IAAIF,EAAErD,GAAGqD,EAAEE,CAAC,GAAG1G,EAAEwG,EAAEF,EAAE,KAAK,CAAC,CAAC,SAASyzB,GAAGzzB,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,IAAI,SAAS,OAAOJ,EAAE,GAAG,IAAI,OAAO,OAAOzG,GAAGyG,CAAC,EAAE,GAAG,IAAI,MAAM,OAAOzO,GAAGyO,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOxG,GAAGwG,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO/H,GAAG+H,EAAEE,CAAC,EAAE,GAAG,IAAI,YAAY,OAAO3L,GAAGyL,EAAEI,CAAC,EAAE,GAAG,IAAI,UAAU,OAAOlF,GAAG8E,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4B,IAAI,CAAC,CAAC,IAAI0zB,GAAG,CAAC1zB,EAAE,IAAI,EAAEA,EAAE,IAAI,IAAI,SAAS,SAAS2zB,GAAG,CAAC,EAAE3zB,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAIE,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGV,EAAEA,GAAG,SAAS0xB,GAAG9U,EAAE,MAAM,cAAc5c,CAAC,IAAI,GAAG,CAACyV,EAAEpX,IAAI,OAAO,IAAI,4CAA4CA,8GAA8G,EAAE,IAAIuE,EAAEjV,GAAGqQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO6C,EAAE1X,EAAE0X,EAAE7C,CAAC,GAAG0xB,GAAG7uB,EAAE5C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAE8c,EAAEzf,EAAE,IAAI,SAAS,SAAS,EAAE4C,EAAE6c,EAAE,EAAE,SAAS,SAAS,SAAS,EAAE5c,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEnJ,EAAEiJ,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG8U,EAAE5U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE4U,EAAE7U,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEsjB,GAAG,eAAe9lB,EAAE,CAAC,EAAE,IAAI4D,EAAE3D,IAAI,OAAOwC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4U,EAAE7U,EAAE,MAAM,KAAKoB,EAAE,IAAI,oCAAoCA,wCAAwCpB,EAAE,MAAM,KAAK,EAAE6U,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI,EAAEglB,GAAGriB,EAAE,MAAMD,EAAE,MAAM1C,EAAE,EAAEE,EAAE,CAAC,EAAEkH,EAAEvF,GAAG,OAAOuF,EAAEmY,EAAE1d,EAAE,OAAO,cAAc,EAAE,CAACuF,CAAC,EAAE2W,GAAG3W,EAAE3E,CAAC,EAAEtC,IAAI,OAAOwoB,GAAG,EAAE,SAASvhB,EAAE,KAAK,GAAGmQ,EAAEnQ,EAAE,MAAM,QAAQ,EAAE,IAAI,2GAA2GA,EAAE,MAAM,SAAS,EAAEmQ,EAAEnQ,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,aAAaA,EAAE,MAAM,KAAK,EAAE,IAAI,sCAAsCA,EAAE,gEAAgE,EAAE,cAAc,IAAI,IAAI,EAAE,GAAGrF,GAAG,KAAK,CAAC,IAAI2C,EAAE3C,EAAE,MAAM,GAAGwV,EAAE7S,EAAE,QAAQ,GAAGA,EAAE,SAAS,EAAE,IAAI,2HAA2HA,EAAE,SAAS,EAAEA,EAAE,SAAS,EAAE6S,EAAE7S,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,YAAY,IAAI,oDAAoDA,4DAA4D,EAAE,eAAe,UAAUA,EAAE,SAAS,EAAE,GAAG,CAACikB,GAAGjkB,EAAE,EAAE,QAAQ,CAAC,OAAOC,EAAN,CAAS,IAAIE,EAAE,oDAAoDH,6DAA6D,EAAE,aAAa,MAAM,MAAMG,CAAC,CAAC,CAAC,EAAE0a,EAAExd,EAAE,gBAAgB,cAAc,CAAC,CAAC,IAAIwC,EAAE,CAACG,EAAEC,IAAI,CAAC4S,EAAEpX,IAAI,OAAO,IAAI,wDAAwDA,yCAAyC,EAAE,GAAG,CAAC0E,EAAEwC,EAAEvC,EAAEC,CAAC,EAAEJ,EAAEK,EAAEquB,GAAG3uB,EAAEI,EAAEhD,CAAC,EAAEyV,EAAEsO,GAAG,CAAC,EAAE,IAAI,uHAAuH,IAAI,EAAE,IAAI5gB,EAAE2iB,GAAGvgB,EAAE,MAAMrC,EAAEH,EAAE7E,EAAEE,CAAC,EAAEgF,EAAEkuB,GAAG/rB,EAAErC,EAAEH,EAAE,MAAM7E,EAAEE,CAAC,EAAEiF,EAAE,CAACF,EAAEC,CAAC,EAAE,GAAGH,GAAG,KAAK,CAAC,IAAI+C,EAAEwrB,GAAGvuB,EAAEC,CAAC,EAAEG,EAAE,KAAK2C,CAAC,CAAC,CAAC,OAAO3C,CAAC,EAAEX,EAAE,CAAC,EAAE7B,EAAE,OAAOD,EAAE,KAAK0E,EAAE,uBAAuB,CAAC,EAAE3C,EAAE,CAAC,QAAQzE,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAK1R,GAAG,CAACwU,EAAEE,EAAEwC,IAAI,CAAC,IAAIvC,EAAE4Z,EAAE,UAAUl6B,GAAGggB,EAAEC,CAAC,EAAE,OAAO4C,EAAE,CAACxC,EAAEF,EAAEG,CAAC,CAAC,EAAElC,IAAIkC,EAAEtL,EAAEsL,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASP,CAAC,CAAC,CAAC,EAAE5B,EAAED,CAAC,EAAEvS,GAAG,CAACwU,EAAEE,EAAEwC,EAAEvC,IAAI,CAAC,IAAIC,EAAE2Z,EAAE,UAAUl6B,GAAGggB,EAAEC,CAAC,EAAE,OAAOK,EAAE,CAACD,EAAEF,EAAEI,EAAEsC,CAAC,CAAC,EAAEzE,IAAImC,EAAEvL,EAAEuL,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASR,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAE0E,CAAC,CAAC,CAAC,IAAI4rB,GAAG17B,EAAE,CAAC,aAAam8B,EAAE,CAAC,EAAE,SAASC,GAAG5zB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE/B,EAAEA,EAAE,OAAO,IAAI+B,EAAErI,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIgC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIuI,EAAE,CAAC,EAAEF,EAAE,GAAGC,CAAC,EAAEU,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAU17B,GAAG+e,EAAES,CAAC,CAAC,CAAC,IAAImxB,GAAGr8B,EAAE,CAAC,qCAAqCo8B,EAAE,CAAC,EAAE,SAASE,GAAG9zB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG,IAAIuI,EAAE,CAAC,GAAGF,EAAE,OAAO7B,CAAC,EAAEwC,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,WAAWL,CAAC,EAAE2C,EAAEic,EAAE,UAAUz7B,GAAG8e,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIoxB,GAAGv8B,EAAE,CAAC,oCAAoCs8B,EAAE,CAAC,EAAE,SAASE,GAAG,CAAC,EAAEh0B,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAIE,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGgxB,GAAG9U,EAAE,MAAM,cAAc5c,CAAC,IAAI,GAAG,CAAC,IAAI2C,EAAEjU,GAAGsP,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO4C,EAAEzX,EAAEyX,EAAE5C,CAAC,GAAG0xB,GAAG9uB,EAAE3C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAE8c,EAAEzf,EAAE,IAAI,kBAAkB,SAAS,EAAE4C,EAAE6c,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAE5c,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEnJ,EAAEiJ,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG8U,EAAE5U,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAE4U,EAAE7U,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAE6U,EAAE5U,EAAE,MAAM,KAAKD,EAAE,MAAM,GAAG,IAAI,6DAA6DC,EAAE,MAAM,qDAAqDD,EAAE,MAAM,KAAK,EAAE,GAAG,OAAO,EAAE,CAAC,EAAE,CAAC,GAAG6U,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,sFAAsFA,oBAAoB,IAAI,EAAEgmB,GAAG,wBAAwB9lB,EAAE,CAAC,EAAE,IAAI4D,EAAEkhB,GAAGriB,EAAE,MAAMD,EAAE,MAAM1C,EAAE,EAAEE,EAAE,EAAE,EAAE,EAAE,EAAE2B,GAAG,OAAO,EAAE0d,EAAE1d,EAAE,OAAO,cAAc,EAAE,CAAC,CAAC,EAAEkc,GAAG,EAAEtb,CAAC,EAAEkmB,GAAG7kB,EAAE,SAAS,EAAE,KAAK,GAAG,IAAIsD,EAAErF,GAAG,OAAOqF,EAAEmY,EAAExd,EAAE,gBAAgB,uBAAuB,GAAG,IAAI,EAAE,CAAC0C,EAAEC,IAAI,CAAC6S,EAAEsO,GAAG,CAAC,EAAE,IAAI,mHAAmH,IAAI,EAAE,GAAG,CAAClhB,EAAEE,EAAEwC,EAAEvC,CAAC,EAAEJ,EAAEK,EAAEsuB,GAAG5uB,EAAE4C,EAAEvF,CAAC,EAAEkD,EAAE6uB,GAAGhvB,EAAE,MAAME,EAAEJ,EAAE3E,EAAEE,EAAE,EAAE,CAAC,EAAE+E,EAAE0uB,GAAG9uB,EAAEE,EAAEJ,EAAE,MAAM3E,EAAEE,EAAE,EAAE,CAAC,EAAE,GAAG4E,GAAG,KAAK,CAAC,IAAII,EAAEouB,GAAG,EAAEvuB,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAEC,CAAC,CAAC,CAAC,MAAM,CAACF,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAAC,EAAE5B,EAAE,OAAOD,EAAE,KAAK,EAAE,uBAAuB0E,CAAC,EAAE5C,EAAE,CAAC,QAAQxE,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAK1R,GAAG,CAACuU,EAAEC,EAAEE,IAAI,CAAC,IAAIwC,EAAEqX,EAAE,UAAUj6B,GAAG8f,EAAEC,CAAC,EAAE,OAAOK,EAAE,CAACF,EAAED,EAAE2C,CAAC,CAAC,EAAEzE,IAAIyE,EAAE7N,EAAE6N,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE1E,EAAED,CAAC,EAAEvS,GAAG,CAACuU,EAAEC,EAAEE,EAAEwC,IAAI,CAAC,IAAIvC,EAAE4Z,EAAE,UAAUj6B,GAAG8f,EAAEC,CAAC,EAAE,OAAO6C,EAAE,CAAC1C,EAAED,EAAEI,EAAED,CAAC,CAAC,EAAEjC,IAAIkC,EAAEtL,EAAEsL,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEnC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAIuwB,GAAG37B,EAAE,CAAC,sBAAsBw8B,EAAE,CAAC,EAAE,SAASC,GAAG,CAAC,EAAEj0B,EAAE,EAAE,EAAE,WAAWE,EAAE,GAAG,WAAWE,EAAE,GAAG,KAAKC,EAAE,WAAW,EAAE,SAAS,uBAAuB,EAAE,eAAe0B,EAAE,EAAE,EAAE,CAAC,GAAG2xB,GAAG9U,EAAE,MAAM,cAAc,CAAC,IAAI,GAAG,CAAC,IAAI3Z,EAAEtP,GAAGqK,EAAE,EAAEE,EAAEE,CAAC,EAAE,OAAOC,GAAG,OAAO4E,EAAE/X,EAAE+X,EAAE5E,CAAC,GAAGozB,GAAGxuB,EAAE,EAAE,EAAElD,CAAC,CAAC,CAAC,IAAIC,EAAEyd,EAAEzf,EAAE,IAAI,cAAc,EAAEiC,EAAEwd,EAAE,EAAE,IAAI,cAAc,EAAE,CAACzd,EAAEC,CAAC,EAAEgc,GAAGjc,EAAEC,CAAC,EAAE,IAAIS,EAAExC,EAAE8B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAEvC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGW,EAAE1C,EAAE8B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEzC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,GAAGA,EAAE,MAAMA,EAAE,KAAK,GAAGa,EAAEd,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEgC,EAAE/B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE4V,GAAG/U,CAAC,EAAEwE,EAAEuQ,GAAG7T,CAAC,EAAEyT,EAAE/U,IAAIC,EAAE,IAAI,wCAAwCD,WAAWC,6BAA6BX,EAAE,aAAaC,EAAE,wBAAwB/B,oBAAoBE,eAAe,EAAE,IAAIqE,EAAEokB,GAAG7mB,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEC,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACW,EAAEC,CAAC,CAAC,EAAE6B,EAAExE,EAAExG,EAAEsI,EAAE,CAAC,EAAEU,EAAEE,CAAC,CAAC,EAAElJ,EAAEsI,EAAE,CAAC,EAAEY,EAAEF,CAAC,CAAC,EAAEiC,EAAEvE,EAAE1G,EAAEuI,EAAE,CAACqF,EAAEzE,EAAEF,CAAC,CAAC,EAAEjJ,EAAEuI,EAAE,CAACqF,EAAE3E,EAAEE,CAAC,CAAC,EAAE+B,EAAEvE,GAAG,OAAOuE,EAAE6a,EAAEpf,EAAE,OAAO,cAAc,EAAE,CAACuE,CAAC,EAAEqZ,GAAGrZ,EAAE5C,CAAC,EAAE6mB,GAAGpkB,EAAEG,EAAE,KAAK,GAAG,IAAIC,EAAE,GAAG,OAAOA,EAAE4a,EAAE,EAAE,gBAAgB,cAAc,GAAG,IAAI1a,EAAE,CAACE,EAAEC,IAAI,CAAC,GAAG,CAACC,EAAEC,EAAEC,EAAE2C,CAAC,EAAE9C,EAAEuC,EAAE8rB,GAAG75B,EAAEuL,EAAEI,EAAE,KAAK,EAAEA,EAAE,CAAC,EAAE4C,EAAEC,EAAG,GAAG,CAAChI,GAAG,CAACE,GAAG6H,EAAEtS,GAAG8R,EAAErC,EAAE,GAAG,EAAE,EAAE8C,EAAGvS,GAAGwP,EAAEsC,EAAE,GAAG,EAAE,GAAG,CAACvH,GAAGE,GAAG6H,EAAEtS,GAAG8R,EAAErC,EAAE,GAAG,EAAE,EAAE8C,EAAGvS,GAAG8R,EAAEtC,EAAE,GAAG,EAAE,GAAGjF,GAAG,CAACE,GAAG6H,EAAEtS,GAAGyP,EAAEqC,EAAE,GAAG,EAAE,EAAES,EAAGvS,GAAGwP,EAAEsC,EAAE,GAAG,EAAE,IAAIQ,EAAEtS,GAAGyP,EAAEqC,EAAE,GAAG,EAAE,EAAES,EAAGvS,GAAG8R,EAAEtC,EAAE,GAAG,EAAE,GAAG9E,GAAG,KAAK,CAAC,IAAI8H,EAAGqrB,GAAGxrB,EAAEP,CAAC,EAAE,MAAM,CAACQ,EAAEC,EAAGC,CAAE,CAAC,KAAM,OAAM,CAACF,EAAEC,CAAE,CAAC,EAAEX,EAAE,CAAC,EAAE7C,EAAE,EAAEC,EAAE,KAAKC,EAAE,uBAAuBC,CAAC,EAAEG,EAAE,CAAC,WAAW9E,EAAE,WAAWE,EAAE,WAAW,EAAE,eAAe2B,CAAC,EAAE,OAAO1B,GAAG,KAAKhQ,GAAG,CAAC6U,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAEuZ,EAAE,UAAU9xB,GAAGya,EAAEvC,CAAC,EAAE,OAAOI,EAAE,CAACF,EAAEC,EAAEE,CAAC,CAAC,EAAE,CAAC,MAAM3L,EAAE2L,EAAEZ,CAAC,EAAE,SAASM,CAAC,CAAC,CAAC,EAAEL,EAAEC,CAAC,EAAEtU,GAAG,CAAC6U,EAAEC,EAAEC,EAAEC,IAAI,CAAC,IAAI2C,EAAE4W,EAAE,UAAU9xB,GAAGya,EAAEvC,CAAC,EAAE,OAAOK,EAAE,CAACH,EAAEC,EAAE6C,EAAE5C,CAAC,CAAC,EAAE,CAAC,MAAM1L,EAAEsO,EAAEvD,CAAC,EAAE,SAASM,CAAC,CAAC,CAAC,EAAEL,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIwuB,GAAG57B,EAAE,CAAC,aAAay8B,EAAE,CAAC,EAAE,SAASC,GAAGl0B,EAAE,CAAC,OAAO9P,GAAG8P,EAAE,IAAI,GAAG,CAAC,CAAC,IAAIm0B,GAAG38B,EAAE,CAAC,eAAe08B,EAAE,CAAC,EAAE,SAASE,GAAGp0B,EAAE,CAAC,OAAO9P,GAAG8P,EAAE,GAAG,EAAE,CAAC,CAAC,IAAIq0B,GAAG78B,EAAE,CAAC,YAAY48B,EAAE,CAAC,EAAE,SAASE,GAAGt0B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,GAAGL,EAAE,MAAM,EAAE,KAAKzE,GAAGyE,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGE,EAAE,GAAGE,EAAE,KAAK,EAAEJ,EAAE,MAAM,CAAC,IAAI+B,EAAE,EAAE,EAAE/B,EAAE,KAAKgC,EAAE5S,GAAG,CAACmM,GAAGyE,EAAE,EAAE,EAAE+B,CAAC,EAAE1P,GAAG,CAAC0P,CAAC,EAAE1B,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,EAAE,GAAG9B,CAAC,CAAC,OAAO,EAAE,SAAS,EAAE/C,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEzD,EAAEtK,GAAG,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAImlC,GAAG/8B,EAAE,CAAC,OAAO88B,EAAE,CAAC,EAAE,SAASE,GAAGx0B,EAAE,EAAEE,EAAEE,EAAEC,EAAEg0B,GAAG,CAACj0B,GAAG,OAAOA,EAAE1O,GAAG,CAAC,GAAG,IAAI,EAAE6iC,GAAGv0B,EAAE,EAAEE,CAAC,EAAE,EAAEpJ,EAAE,EAAEuJ,EAAE,CAAC,CAAC,EAAE,OAAOrG,GAAG,EAAEoG,CAAC,CAAC,CAAC,IAAIq0B,GAAGj9B,EAAE,CAAC,MAAMg9B,EAAE,CAAC,EAAE,SAASE,GAAG10B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,WAAW,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,QAAQ,gBAAgB,SAAS,EAAEzd,EAAEyd,EAAEvf,EAAE,SAAS,gBAAgB,OAAO,EAAE+B,EAAEF,EAAE,MAAM,GAAG0V,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDE,sBAAsBF,EAAE,QAAQ,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,MAAM,KAAKC,EAAE,IAAI,qDAAqDA,oBAAoBF,EAAE,QAAQ,EAAE0V,EAAErX,EAAE,SAAS,EAAE,IAAI,wEAAwEA,EAAE,SAAS,EAAEqX,EAAErX,EAAE,IAAI,GAAGA,EAAE,IAAI,EAAE,IAAI,2CAA2CA,GAAG,EAAEqX,EAAEpX,IAAI,YAAYA,IAAI,UAAU,IAAI,+CAA+CA,GAAG,EAAE,IAAIqC,EAAE,CAAC,MAAM,EAAE,MAAMX,EAAE,OAAOC,CAAC,EAAEW,EAAE,CAAC,OAAOtC,EAAE,mBAAmB,EAAE,SAASD,CAAC,EAAE,OAAOwe,EAAE,UAAUl8B,GAAGggB,EAAEC,CAAC,CAAC,CAAC,IAAIgyB,GAAGn9B,EAAE,CAAC,eAAek9B,EAAE,CAAC,EAAE,SAASE,GAAG50B,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,QAAQ,gBAAgB,SAAS,EAAEyX,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAE,IAAIvX,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0e,EAAE,UAAUv6B,GAAG6b,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI20B,GAAGr9B,EAAE,CAAC,eAAeo9B,EAAE,CAAC,EAAE,SAASE,GAAG90B,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,QAAQ,gBAAgB,EAAEE,EAAE,EAAE,KAAK,EAAEE,EAAE,EAAE,MAAMF,GAAGuX,EAAE,EAAE,MAAM,EAAE,IAAI,yEAAyE,EAAE,OAAO,EAAEA,EAAErX,IAAI,EAAE,IAAI,+FAA+FA,IAAI,EAAE,IAAIC,EAAE,IAAI,MAAM,EAAE,IAAI,EAAE,OAAOA,EAAE,KAAK,EAAE,EAAEH,CAAC,EAAEG,EAAEH,GAAG,EAAEvC,GAAG,EAAE0C,CAAC,CAAC,CAAC,IAAI00B,GAAGv9B,EAAE,CAAC,gBAAgBs9B,EAAE,CAAC,EAAE,SAASE,GAAGh1B,EAAE,EAAEE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,SAAS,EAAEyX,EAAEpX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAUH,EAAE,OAAOE,CAAC,EAAE,OAAOwe,EAAE,UAAU90B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAImrC,GAAGz9B,EAAE,CAAC,kBAAkBw9B,EAAE,CAAC,EAAE,SAASE,GAAGl1B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACD,GAAG,OAAOA,EAAE,IAAIC,GAAG,OAAOA,EAAE,OAAO,mBAAmB,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEL,EAAE,MAAM,GAAG,OAAOE,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAEuX,EAAE,GAAGrX,GAAGA,GAAG,EAAE,IAAI,4CAA4CA,IAAI,EAAEqX,EAAEzX,EAAE,OAAO,EAAE,IAAI,+CAA+CA,EAAE,OAAO,EAAEyX,EAAEzX,EAAE,MAAM,KAAK,EAAE,IAAI,oDAAoDA,EAAE,MAAM,IAAI,EAAEyX,EAAE,EAAE,OAAO,EAAE,IAAI,4BAA4B,EAAEA,EAAE,EAAE,MAAM,KAAK,EAAE,IAAI,sDAAsD,cAAc,EAAE,MAAM,IAAI,EAAEA,EAAE,GAAG,GAAG,GAAG,EAAE,IAAI,4CAA4C,IAAI,EAAE,CAAC,cAAcvX,EAAE,aAAaE,EAAE,eAAeC,EAAE,aAAa,CAAC,CAAC,CAAC,SAAS80B,GAAGn1B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,oBAAoB,SAAS,EAAE,EAAEyf,EAAE,EAAE,SAAS,oBAAoB,SAAS,EAAE1d,EAAEmzB,GAAG,EAAE,EAAEh1B,EAAEE,EAAEC,CAAC,EAAEH,EAAE6B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,CAAC,cAAc9B,EAAE,aAAaE,EAAE,eAAeC,CAAC,EAAE,OAAOue,EAAE,UAAUh3B,GAAG,CAAC,MAAM,EAAE,OAAO,CAAC,EAAEoa,CAAC,CAAC,CAAC,IAAIozB,GAAG59B,EAAE,CAAC,mBAAmB29B,EAAE,CAAC,EAAE,SAASE,GAAGr1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEk1B,GAAGt1B,EAAE,EAAEE,CAAC,EAAEG,EAAED,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAEJ,EAAE,OAAOK,EAAE,EAAE,CAAC,CAAC,CAAC,SAASi1B,GAAGt1B,EAAE,EAAEE,EAAE,CAAC,OAAOq1B,GAAGv1B,EAAE,EAAEE,GAAGs1B,EAAE,CAAC,CAAC,SAASA,GAAGx1B,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,EAAEA,EAAE,EAAE,GAAG,CAAC,CAAC,SAASu1B,GAAGv1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEC,EAAEL,EAAE,OAAO,EAAE,EAAE,EAAE,GAAG,KAAKI,EAAEC,GAAG,CAAC,EAAED,GAAGC,EAAED,IAAI,GAAG,IAAI2B,EAAE7B,EAAE,EAAEF,EAAE,EAAE,EAAE+B,EAAE,EAAE3B,EAAE,EAAE,GAAGC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,OAAO,EAAE3B,EAAE,CAACA,EAAE,CAAC,CAAC,SAASq1B,GAAGz1B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASs1B,GAAG31B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAASu1B,GAAG51B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,CAAC,SAASq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,GAAG5B,GAAG4B,EAAE,KAAK,CAAC,MAAM,EAAE,GAAG,SAAS,EAAE,mBAAmB,CAAC,CAAC,EAAEA,EAAE,KAAK4zB,EAAE,EAAE,IAAInzB,EAAE,EAAE,EAAE,IAAI,EAAE,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,KAAKD,EAAE,OAAOzC,GAAG+B,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,CAAC,MAAMqF,EAAE,SAAS,EAAE,mBAAmB7C,CAAC,EAAE,EAAE,GAAG6C,EAAEjH,EAAE,MAAM,IAAIqE,EAAE,GAAG,QAAQC,EAAEhC,EAAE,OAAO,EAAEgC,GAAGF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEkxB,GAAG91B,EAAE,EAAE2C,EAAEgC,EAAE,EAAE,GAAGC,GAAGxE,EAAE,CAACsE,EAAE,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,EAAE,MAAMqxB,GAAG31B,EAAEsC,EAAEkC,CAAC,EAAE,EAAE,OAAOvE,EAAE,KAAK,CAAC,EAAE,mBAAmBsC,EAAE,OAAO+B,IAAI,EAAE,QAAQ4C,GAAG3E,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAK,EAAE,KAAK,GAAG,EAAE,MAAMvC,GAAGg1B,GAAGpzB,EAAE,EAAE4zB,EAAE,EAAE,CAAC,IAAIhzB,EAAEF,EAAE,OAAOG,EAAE5C,EAAE2C,EAAEd,GAAGe,EAAE,IAAIH,EAAE,KAAK,GAAG,IAAI,MAAMG,CAAC,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAE,KAAK,GAAG,IAAI,MAAME,CAAC,EAAE,KAAK,CAAC,CAAC,GAAG,IAAIkB,EAAE,CAAC,gBAAgBrB,CAAC,EAAE,OAAO,IAAIqB,EAAE,eAAepB,GAAGZ,IAAIgC,EAAE,aAAanB,GAAGmB,CAAC,CAAC,SAAS8xB,GAAG91B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,SAAS,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEK,EAAEL,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,EAAE,KAAK,IAAIE,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,KAAK,IAAIA,EAAE,GAAGA,EAAE,EAAE,EAAE2B,EAAE,KAAK,IAAI3B,EAAE,GAAGA,EAAE,EAAE,EAAE4B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAE6B,EAAE,KAAK,IAAI5B,EAAE,GAAGA,EAAE,EAAE,EAAEqC,EAAE,KAAK,IAAIrC,EAAE,GAAGA,EAAE,EAAE,EAAEsC,EAAE,KAAK,IAAItC,EAAE,GAAGA,EAAE,EAAE,EAAEuC,EAAE,KAAK,IAAIvC,EAAE,GAAGA,EAAE,EAAE,EAAEwC,GAAGd,EAAE,IAAIC,EAAE,GAAGc,GAAGH,EAAEV,IAAIW,EAAEF,GAAG,GAAGG,GAAG,GAAGC,GAAG,EAAE,MAAO,GAAE,IAAIkB,EAAE,KAAK,IAAI,EAAE/B,CAAC,EAAE,EAAE,KAAK,IAAI,EAAES,CAAC,EAAE4E,EAAE,KAAK,IAAIvF,EAAEY,CAAC,EAAE,EAAE,KAAK,IAAIX,EAAEY,CAAC,EAAE6B,EAAE,KAAK,IAAI6C,EAAEtD,EAAE,CAAC,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAE,OAAOS,GAAG5B,EAAEC,EAAE2B,EAAE,CAAC,SAASsxB,GAAG/1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,KAAK,IAAI,EAAEF,EAAEA,CAAC,EAAE,OAAOA,GAAGF,EAAEI,EAAE,CAAC,CAAC,SAASy1B,GAAG71B,EAAE,EAAE,CAAC,OAAOA,EAAE,MAAM,EAAE,OAAOA,EAAE,QAAQ,EAAE,OAAO,EAAE,SAASA,EAAE,QAAQ,CAAC,eAAeg2B,GAAGh2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE,EAAEyf,EAAE,EAAE,SAAS,wBAAwB,EAAE1d,EAAEmzB,GAAG,EAAE,EAAEh1B,EAAEE,EAAEC,CAAC,EAAEH,EAAE6B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,KAAK,CAAC,CAAC,EAAEC,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,CAAC,EAAE8yB,GAAGxzB,EAAES,EAAExC,EAAEE,EAAEC,CAAC,EAAE,OAAO,IAAIL,GAAG,EAAE,QAAQ,EAAE,IAAI,GAAG,EAAE,QAAQ,EAAE9C,GAAGyF,EAAE,OAAO,CAAC,CAAC,IAAIszB,GAAGD,GAAG,SAASE,GAAGl2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,mBAAmB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,CAAC,EAAEH,EAAE8B,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,CAAC,MAAM,EAAE,OAAOF,CAAC,EAAEW,EAAE,CAAC,cAAcxC,EAAE,aAAaE,EAAE,eAAeC,EAAE,aAAa,CAAC,EAAEsC,EAAEic,EAAE,UAAU92B,GAAGma,EAAES,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,eAAeA,EAAE,EAAE,CAAC,CAAC,IAAIwzB,GAAG3+B,EAAE,CAAC,4BAA4B0+B,EAAE,CAAC,EAAE,eAAeE,GAAGp2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,wBAAwB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,CAAC,EAAEH,EAAE8B,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,CAAC,EAAEW,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAG,CAAC,gBAAgBW,EAAE,eAAeC,CAAC,EAAE+yB,GAAGlzB,EAAEC,EAAEzC,EAAEE,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAIL,GAAG,EAAE,QAAQ,EAAE+B,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB7E,GAAG0F,EAAE,OAAO,EAAE,eAAe1F,GAAG2F,CAAC,CAAC,CAAC,CAAC,IAAIwzB,GAAGD,GAAG,SAASE,GAAGt2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,mBAAmB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAeY,EAAE,CAAC,MAAM,EAAE,OAAOb,CAAC,EAAEc,EAAE,CAAC,cAAcZ,EAAE,aAAaS,EAAE,eAAeC,EAAE,mBAAmB,CAAC,EAAEG,EAAE8b,EAAE,UAAU/2B,GAAG+a,EAAEC,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAIyzB,GAAG/+B,EAAE,CAAC,yBAAyB8+B,EAAE,CAAC,EAAE,eAAeE,GAAGx2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,wBAAwB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAe,CAACY,EAAEC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEd,EAAE,KAAK,CAAC,CAAC,EAAE,CAAC,gBAAgBe,EAAE,aAAakB,CAAC,EAAE2xB,GAAG/yB,EAAEC,EAAEZ,EAAES,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAI3C,GAAG,EAAE,QAAQ,EAAE+B,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB7E,GAAG4F,EAAE,OAAO,EAAE,aAAa3I,GAAG6J,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIyyB,GAAGD,GAAG,SAASE,GAAG12B,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,gBAAgB,EAAEyX,EAAEpX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEoX,EAAE,EAAE,SAAS,EAAE,IAAI,6DAA6D,IAAI,EAAEA,EAAErX,IAAI,IAAIF,IAAI,GAAG,IAAI,mFAAmF,EAAE,IAAI,EAAEG,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE3G,EAAE2G,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAa9B,EAAE,iBAAiBE,EAAE,KAAK,CAAC,EAAE6B,EAAE2c,EAAE,UAAUn1B,GAAGsY,EAAEC,CAAC,EAAE,OAAO,EAAEtI,EAAEuI,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI00B,GAAGn/B,EAAE,CAAC,gBAAgBk/B,EAAE,CAAC,EAAE,SAASE,GAAG52B,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,uBAAuB,EAAEyX,EAAEpX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEoX,EAAE,EAAE,SAAS,EAAE,IAAI,oEAAoE,IAAI,EAAEA,EAAEpX,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,kDAAkD,EAAEoX,EAAErX,IAAI,IAAIF,IAAI,GAAG,IAAI,0FAA0F,EAAE,IAAI,EAAEG,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE3G,EAAE2G,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAa9B,EAAE,iBAAiBE,EAAE,KAAK,CAAC,EAAE6B,EAAE2c,EAAE,UAAUj1B,GAAGoY,EAAEC,CAAC,EAAE,OAAO,EAAEtI,EAAEuI,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI40B,GAAGr/B,EAAE,CAAC,uBAAuBo/B,EAAE,CAAC,EAAE,SAASE,GAAG92B,EAAE,EAAE,SAASE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,QAAQ,WAAW,EAAE,EAAE,MAAM,EAAE,KAAK+B,EAAE,KAAKC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAEnL,EAAEoG,GAAG,CAACkD,CAAC,CAAC,EAAE,GAAG,EAAEsC,EAAEC,EAAEC,EAAEC,EAAE,GAAG4U,EAAEpX,EAAE,OAAO,EAAE,IAAI,yDAAyDA,EAAE,OAAO,EAAEoX,EAAEpX,EAAE,MAAM,KAAK,GAAGA,EAAE,MAAM,KAAK,EAAE,IAAI,0EAA0EA,EAAE,MAAM,KAAK,EAAEoX,EAAEpX,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,IAAI,sEAAsEA,EAAE,QAAQ,EAAEoX,EAAE,IAAI,QAAQ,IAAI,SAAS,IAAI,0CAA0C,GAAG,EAAEpX,EAAE,MAAM,KAAK,EAAE,CAAC,CAACqC,EAAEC,EAAEC,CAAC,EAAEzG,GAAGkE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI4D,EAAEnN,EAAE4L,EAAE,CAAC,EAAE4E,EAAExQ,EAAE6L,EAAE,CAAC,EAAEmC,EAAEhO,EAAE8L,EAAEb,CAAC,EAAEc,EAAE3V,EAAEA,EAAE+W,EAAEqD,CAAC,EAAExC,CAAC,CAAC,MAAMjC,EAAE7C,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIiE,EAAE1V,GAAGQ,GAAEkL,GAAG4I,CAAC,EAAE,OAAO,EAAE5F,GAAG,CAAC,CAAC,EAAE,GAAG,EAAEgF,EAAE80B,GAAG9yB,EAAEjC,CAAC,CAAC,CAAC,IAAIc,EAAE5C,EAAEzL,GAAGoO,EAAEZ,CAAC,EAAE1O,GAAGsP,EAAEZ,CAAC,EAAE,OAAOlT,GAAE+H,EAAEgM,EAAE,GAAG,EAAE,OAAO,CAAC,CAAC,SAASi0B,GAAG/2B,EAAE,EAAE,CAAC,IAAIE,EAAEhD,GAAG,CAAC,EAAE,CAAC,EAAEkD,EAAElD,GAAG,CAAC,CAAC,CAAC,EAAEmD,EAAEnD,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE6E,EAAEC,EAAEC,EAAES,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,KAAK,EAAE2C,IAAI,CAAC,EAAEpH,GAAGyE,EAAE,EAAE2C,EAAE,CAAC,EAAE,EAAEpH,GAAGyE,EAAE2C,EAAE,CAAC,EAAEV,EAAE/Q,GAAG2L,GAAG,CAAC,EAAE,CAAC,EAAE6F,EAAExR,GAAG2L,GAAG,CAAC,EAAE,CAAC,EAAE,IAAI+F,EAAE/F,GAAG/F,EAAE,EAAE+B,GAAG,EAAE,EAAE,IAAI,CAAC,CAAC,EAAEkJ,EAAE7Q,GAAG0R,EAAE/F,GAAG,CAAC,CAAC,EAAE,IAAIgG,EAAExQ,GAAG,EAAE,MAAM,EAAE,IAAI,EAAEyQ,EAAE5V,EAAE2L,GAAG,EAAE,EAAE,IAAI,EAAEgK,CAAC,EAAEmB,EAAElN,EAAE,EAAEgM,CAAC,EAAEd,EAAE9Q,GAAG2L,GAAGmH,CAAC,EAAEnH,GAAG,CAAC,CAAC,EAAE,IAAI,EAAED,GAAGmF,EAAEC,CAAC,EAAEsF,EAAE1K,GAAGmF,EAAEC,CAAC,EAAE,EAAElL,EAAEmL,EAAES,CAAC,EAAErC,EAAEvJ,EAAEA,EAAE,EAAE,CAAC,EAAEwQ,CAAC,EAAE,IAAI7C,EAAElR,GAAG8M,EAAED,CAAC,EAAEA,EAAEf,GAAGoF,EAAEpE,EAAED,CAAC,EAAEF,EAAEb,GAAGoF,EAAEvH,GAAG,CAACyF,CAAC,CAAC,EAAEzC,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI82B,GAAGx/B,EAAE,CAAC,WAAWs/B,EAAE,CAAC,EAAE,SAASG,GAAGj3B,EAAE,EAAEE,EAAE,UAAUE,EAAE,WAAWC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,YAAY,SAAS,EAAE+B,EAAE0d,EAAE,EAAE,aAAa,YAAY,SAAS,EAAEhI,EAAE,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,IAAIA,EAAE,MAAM,KAAK,EAAE,MAAM,IAAIA,EAAE,MAAM,KAAK,IAAIA,EAAE,MAAM,KAAK,EAAE,IAAI,kEAAkE,EAAE0V,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,IAAI,4EAA4E,IAAI,EAAE,IAAIzV,EAAE,CAAC,MAAM,EAAE,WAAWD,CAAC,EAAEE,EAAE,CAAC,cAAc/B,EAAE,SAASE,EAAE,UAAUC,EAAE,YAAY,CAAC,EAAE,OAAOue,EAAE,UAAUtyB,GAAG0V,EAAEC,CAAC,CAAC,CAAC,IAAIi1B,GAAG1/B,EAAE,CAAC,WAAWy/B,EAAE,CAAC,EAAE,SAASE,GAAGn3B,EAAE,EAAEE,EAAE,CAACuX,EAAE,EAAE,IAAI,EAAE,IAAI,gDAAgD,IAAI,EAAEA,EAAEvX,EAAE,IAAI,EAAE,IAAI,gDAAgDA,IAAI,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,UAAU,EAAEyX,EAAErX,EAAE,MAAM,EAAE,IAAI,4CAA4CA,EAAE,OAAO,EAAE,IAAIC,EAAED,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyB,mDAAmD,KAAK,EAAE,GAAG,EAAEF,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyBA,sDAAsD,KAAK,EAAE,EAAE,IAAI,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,IAAI6B,EAAErI,EAAEb,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEmJ,EAAEnJ,GAAG,EAAE,EAAE,EAAE,OAAO,EAAEoJ,EAAErF,GAAGmF,EAAEC,CAAC,EAAEU,EAAErN,GAAGZ,GAAGwN,EAAE9H,GAAG,CAAC,EAAE,OAAO,CAAC,EAAE3G,GAAGyO,EAAE9H,GAAG,CAAC+F,EAAE,OAAO,CAAC,CAAC,EAAEyC,EAAEpD,GAAG,CAAC,EAAE,CAAC,EAAEa,EAAE,KAAK,EAAE,OAAO1G,EAAE8C,GAAG6B,GAAG3E,EAAE0G,EAAE,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIwC,GAAGvD,GAAGqD,EAAEE,EAAED,CAAC,CAAC,CAAC,EAAEtC,CAAC,CAAC,CAAC,IAAI+2B,GAAG5/B,EAAE,CAAC,UAAU2/B,EAAE,CAAC,EAAE,SAASE,GAAGr3B,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,GAAGyX,EAAEzX,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,mEAAmE,EAAE,IAAIK,EAAEL,EAAE,GAAG,MAAM,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEyX,EAAEzX,EAAE,GAAG,MAAM,KAAKK,EAAE,IAAI,iEAAiEL,EAAE,GAAG,MAAM,UAAUK,IAAI,CAAC,MAAM,EAAE,GAAGL,EAAE7D,GAAG6D,EAAEA,EAAE,MAAM,GAAG,CAAC,EAAE,IAAIK,GAAG9D,GAAG8D,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEoX,EAAEzX,EAAE,QAAQA,EAAE,GAAG,MAAM,GAAG,IAAI,oCAAoCA,EAAE,yCAAyCA,EAAE,GAAG,MAAM,MAAM,EAAE,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEH,EAAE,KAAK0e,EAAE,KAAK,IAAI,CAAC,IAAI,EAAExe,EAAEC,GAAG,GAAGA,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEjL,EAAE+F,GAAG/F,EAAEoJ,EAAE,GAAG,CAAC,CAAC,EAAEA,EAAE,EAAE,EAAE,EAAEtD,GAAG,EAAEmF,CAAC,CAAC,CAAC,OAAO7Q,GAAG,EAAEiG,GAAG,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAEqF,GAAG0D,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIo3B,GAAG9/B,EAAE,CAAC,aAAa6/B,EAAE,CAAC,EAAE,SAASE,GAAGv3B,EAAE,EAAE,GAAG,CAAC,GAAGyX,EAAEzX,EAAE,MAAM,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEA,EAAE,OAAO,EAAE,OAAOw3B,GAAGx3B,EAAE,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAE,OAAO,CAACgC,EAAEC,IAAID,EAAEC,CAAC,EAAE7B,EAAE/B,GAAG3E,EAAEsG,EAAE,CAACE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,CAAC,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAE,EAAE,CAAC,EAAED,EAAE,QAAQ4B,GAAG,CAAC,GAAG,CAACC,EAAES,CAAC,EAAE80B,GAAGx1B,EAAE,CAAC,EAAE3B,EAAE,KAAK4B,CAAC,EAAE,EAAE,KAAKS,CAAC,CAAC,CAAC,EAAE,IAAI,EAAEhJ,EAAE8C,GAAG6D,EAAE,CAAC,EAAEL,EAAE,KAAK,EAAE+B,EAAErI,EAAE8C,GAAG,EAAE,CAAC,EAAEwD,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,SAASy1B,GAAGx3B,EAAE,EAAE,GAAG,CAAC,OAAO4e,EAAE,KAAK,IAAI,CAACnH,EAAEzX,EAAE,MAAM,SAAS,EAAE,IAAI,0CAA0CA,EAAE,MAAM,iBAAiB,EAAE,IAAIE,EAAEF,EAAE,MAAM,GAAGI,EAAEJ,EAAE,MAAM,GAAGK,EAAElO,GAAG+N,CAAC,EAAE,EAAEhR,GAAG8Q,CAAC,EAAE,EAAE7C,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE4E,EAAE7S,GAAG,CAAC,EAAE8S,EAAE9B,GAAGE,EAAEA,EAAEF,EAAE,QAAQ+B,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAIS,EAAE,EAAEC,EAAEZ,EAAEa,EAAEvC,EAAE,CAAC0B,EAAE,EAAE1B,CAAC,EAAEue,EAAE,KAAK,IAAI,CAAC,IAAI/b,EAAEtH,GAAG,EAAE,CAAC0G,EAAEA,CAAC,EAAE,CAAC/B,EAAE+B,EAAE,CAAC,CAAC,EAAEa,EAAE3L,GAAG0L,CAAC,EAAEmB,EAAEzI,GAAG,EAAE,CAAC0G,EAAEA,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE5C,GAAG9L,GAAGyQ,EAAE,CAAC,EAAE7G,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEmK,EAAE1K,GAAGoH,EAAElN,EAAE,EAAEgM,CAAC,CAAC,EAAE,EAAE5R,GAAG2R,EAAEyE,CAAC,EAAE,EAAE,MAAM,KAAK,EAAEvF,EAAE7S,GAAG,CAAC,EAAE6S,EAAE3S,GAAG,CAAC,EAAEmM,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,MAAM,GAAG,EAAE,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,IAAIkJ,EAAExN,GAAG/F,GAAGyE,GAAG,EAAE2R,CAAC,EAAExE,CAAC,CAAC,EAAE4B,EAAEnJ,GAAG,EAAE,CAAC0G,EAAE,CAAC,EAAE,CAAC/B,EAAE+B,EAAE7B,CAAC,CAAC,EAAEuE,EAAE7N,EAAE2N,EAAE1C,CAAC,EAAE6C,EAAE7G,GAAGgE,CAAC,EAAE,GAAGE,IAAI,EAAE,EAAErF,GAAG8H,EAAE/O,GAAGgP,EAAEhP,GAAGiP,EAAEF,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI6C,EAAE3K,GAAG8H,EAAE/O,GAAGgP,EAAEhP,GAAGiP,EAAEF,CAAC,CAAC,CAAC,EAAE,EAAEtV,GAAG,CAACmM,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC0G,EAAE7B,CAAC,CAAC,EAAEmH,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI1C,EAAE9G,GAAG4G,CAAC,EAAEI,EAAExJ,GAAG8E,EAAE,CAAC,EAAE4B,CAAC,EAAE,CAAC/B,EAAEG,EAAE,MAAM,GAAG4B,CAAC,CAAC,EAAE,GAAGA,IAAI,EAAE5B,EAAEzD,GAAGmI,EAAEpP,GAAGA,GAAGoP,EAAEhD,CAAC,EAAE8C,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE3K,GAAGmI,EAAEpP,GAAGA,GAAGoP,EAAEhD,CAAC,EAAE8C,CAAC,CAAC,EAAExE,EAAEjR,GAAG,CAACmM,GAAG8E,EAAE,CAAC,EAAE,CAAC,EAAE,CAACH,EAAE+B,CAAC,CAAC,EAAEsF,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,CAACxF,EAAE,EAAE1B,CAAC,CAAC,CAAC,EAAErP,GAAG,CAAC0R,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG1C,EAAEE,IAAIC,EAAE9E,GAAG8E,EAAE,CAAC,EAAE,CAAC,EAAE,CAACH,EAAEE,CAAC,CAAC,EAAE,EAAE7E,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC6E,EAAEA,CAAC,CAAC,GAAG,CAACC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIo3B,GAAGjgC,EAAE,CAAC,IAAI+/B,EAAE,CAAC,EAAMluC,IAAI,SAAS2W,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,IAAI,GAAG,MAAMA,EAAEA,EAAE,uBAAuB,GAAG,wBAAwB,GAAG3W,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASquC,GAAG13B,EAAE,EAAEE,EAAE7W,GAAG,uBAAuB,CAAC,IAAI+W,EAAEqf,EAAEzf,EAAE,SAAS,qBAAqB,EAAEK,EAAE,KAAK,GAAG,OAAOA,EAAEof,EAAE,EAAE,UAAU,qBAAqB,GAAG,IAAI,EAAEpf,GAAG,KAAKD,EAAEtJ,EAAEsJ,EAAEC,CAAC,EAAE,GAAGH,IAAI7W,GAAG,KAAK,OAAO,EAAE,GAAG6W,IAAI7W,GAAG,IAAI,OAAOwT,GAAG,CAAC,EAAE,GAAGqD,IAAI7W,GAAG,KAAK,CAAC,GAAGgX,GAAG,KAAK,OAAOnK,GAAG,CAAC,EAAE,CAAC,IAAI,EAAEkK,EAAE,KAAKC,EAAE,KAAK0B,EAAE7Q,GAAG2L,GAAG,CAAC,EAAEA,GAAGwD,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEnP,GAAG6Q,EAAE5H,GAAG,CAAC,CAAC,EAAE4H,CAAC,CAAC,CAAC,GAAG7B,IAAI7W,GAAG,uBAAuB,CAAC,GAAGgX,GAAG,KAAK,OAAOnP,GAAG2L,GAAG,CAAC,EAAE1C,GAAGiG,EAAE,IAAI,CAAC,EAAE,CAAC,IAAI,EAAEtJ,EAAEuJ,EAAE/I,GAAG8I,EAAE,KAAK,CAAC,EAAE2B,EAAEhT,GAAE8N,GAAGzF,GAAG,EAAE+C,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS,EAAE,OAAOjJ,GAAG2L,GAAG,CAAC,EAAEkF,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,sBAAsB7B,GAAG,CAAC,CAAC,IAAIy3B,GAAGngC,EAAE,CAAC,qBAAqBkgC,EAAE,CAAC,EAAE,SAASE,GAAG53B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,oBAAoB,EAAE,EAAEyf,EAAE,EAAE,cAAc,oBAAoB,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,oBAAoB,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,+BAA+B,EAAE,IAAI0B,EAAEhV,GAAG6P,GAAGyD,EAAE,CAAC,CAAC,EAAE,OAAOs3B,GAAG51B,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIy3B,GAAGrgC,EAAE,CAAC,oBAAoBogC,EAAE,CAAC,EAAE,SAASE,GAAG93B,EAAE,EAAEE,EAAEE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,gBAAgB,EAAE,EAAEyf,EAAE,EAAE,cAAc,gBAAgB,EAAE1d,EAAE,KAAK3B,GAAG,OAAO2B,EAAE0d,EAAErf,EAAE,UAAU,gBAAgB,GAAGsX,GAAG,EAAE,MAAM,EAAE,MAAM,2BAA2B,EAAE,IAAI1V,EAAE7H,GAAG,CAAC,EAAE8H,EAAErF,GAAGoF,EAAEnF,GAAG/F,EAAE,EAAE,CAAC,EAAEoJ,EAAE,EAAE,CAAC,EAAE,OAAOy3B,GAAG11B,EAAEF,EAAE1B,CAAC,CAAC,CAAC,IAAI03B,GAAGvgC,EAAE,CAAC,gBAAgBsgC,EAAE,CAAC,EAAE,SAASE,GAAGh4B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,WAAW,EAAE,EAAEyf,EAAE,EAAE,cAAc,WAAW,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,WAAW,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI0B,EAAE5H,GAAG,CAAC,EAAEkG,EAAEzD,GAAG9F,EAAEqD,GAAG,CAAC,EAAEkG,CAAC,EAAE0B,CAAC,EAAE,IAAIC,EAAEzI,GAAGqD,GAAGmF,EAAEjL,EAAEuJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOs3B,GAAG31B,EAAE,EAAE5B,CAAC,CAAC,CAAC,IAAI63B,GAAGzgC,EAAE,CAAC,WAAWwgC,EAAE,CAAC,EAAE,SAASE,GAAGl4B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,WAAW,EAAE,EAAEyf,EAAE,EAAE,cAAc,WAAW,EAAE1d,EAAE,KAAK7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,WAAW,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI1V,EAAE7H,GAAGiG,CAAC,EAAE6B,EAAElV,GAAG6P,GAAG,EAAE,CAAC,CAAC,EAAE8F,EAAEnM,GAAG0L,EAAED,CAAC,EAAEW,EAAE/F,GAAGqF,EAAES,CAAC,EAAEE,EAAE1V,EAAE4J,EAAEqD,GAAG,EAAE,EAAEkC,GAAGqG,CAAC,CAAC,EAAE5L,EAAEkL,EAAEW,CAAC,CAAC,EAAE,OAAOg1B,GAAG/0B,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAI83B,GAAG3gC,EAAE,CAAC,WAAW0gC,EAAE,CAAC,EAAE,SAASE,GAAGp4B,EAAE,EAAEE,EAAEE,EAAE,KAAKC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,SAAS,EAAE,EAAEyf,EAAE,EAAE,cAAc,SAAS,EAAE1d,EAAE,KAAK7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,SAAS,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,oBAAoB,EAAE,IAAI1V,EAAE7H,GAAG,CAAC,EAAE8H,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEzL,GAAGH,EAAE,EAAE9B,GAAG9H,EAAE,EAAE+U,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE7L,EAAE8F,GAAGoF,EAAE,CAAC,EAAEhN,GAAG9H,EAAE0P,GAAGoF,EAAE,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAEW,EAAEhG,GAAG8F,EAAEC,CAAC,EAAE,OAAOg1B,GAAG/0B,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIg4B,GAAG7gC,EAAE,CAAC,SAAS4gC,EAAE,CAAC,EAAE,SAASE,GAAGt4B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,kBAAkB,EAAE,EAAEyf,EAAE,EAAE,cAAc,kBAAkB,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,kBAAkB,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,6BAA6B,EAAE,IAAI0B,EAAEzF,GAAG+D,EAAE,CAAC,EAAE,OAAOs3B,GAAG51B,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIm4B,GAAG/gC,EAAE,CAAC,kBAAkB8gC,EAAE,CAAC,EAAE,SAASE,GAAGx4B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,+BAA+B,EAAEI,EAAEqf,EAAE,EAAE,SAAS,+BAA+B,EAAE/H,GAAGxX,EAAE,MAAME,EAAE,MAAM,0CAA0C,EAAE,IAAIC,EAAE9G,GAAG6G,CAAC,EAAE,EAAEtJ,EAAEsJ,EAAEF,CAAC,EAAE,EAAEjL,GAAGjD,GAAGiF,GAAGlK,GAAGqT,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOlT,EAAE0P,GAAGyD,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASo4B,GAAGz4B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,mBAAmB,qBAAqB,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE1d,EAAE,KAAK,GAAG7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,qBAAqB,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEtX,EAAE,EAAE,CAAC,IAAI6B,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEvI,GAAG,CAAC,EAAEwI,EAAExI,GAAG,EAAE,EAAE,EAAEjN,EAAE4J,EAAE,EAAE8F,GAAG8F,EAAET,CAAC,CAAC,EAAEnL,EAAE6L,EAAEV,CAAC,CAAC,CAAC,CAAC,IAAID,EAAEw2B,GAAG,EAAE,CAAC,EAAE,OAAOb,GAAG31B,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAIq4B,GAAGlhC,EAAE,CAAC,qBAAqBihC,EAAE,CAAC,EAAE,SAASE,GAAG34B,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAKA,EAAE,EAAE,KAAK,GAAGA,IAAI,EAAE,KAAK,EAAE,MAAM,MAAM,mGAAmG,EAAE,oBAAoBA,GAAG,EAAE,OAAO7P,GAAG,CAACgQ,EAAEwB,EAAEC,IAAI,CAAC,IAAIE,EAAE5M,GAAGyM,EAAE,CAAC3B,CAAC,EAAE,EAAE,EAAE+B,EAAErF,GAAG7N,GAAE8S,EAAE,SAAS,EAAEG,CAAC,EAAEF,EAAE,CAACzB,EAAE4B,CAAC,CAAC,EAAE,IAAIS,EAAEzL,GAAGH,EAAEmL,EAAE5B,CAAC,CAAC,EAAE,MAAM,CAAC,MAAMxD,GAAG6F,EAAE,CAACxC,CAAC,CAAC,EAAE,SAAS,CAAC2C,EAAEC,IAAI,CAAC,GAAG,CAACkB,EAAEC,CAAC,EAAEnB,EAAEwE,EAAEqiB,GAAG9mB,EAAE,MAAM,CAAC3C,CAAC,CAAC,EAAE,MAAM,CAACpJ,EAAE4C,EAAEmJ,EAAEyE,CAAC,EAAE1K,GAAG7N,GAAEiV,EAAE,SAAS,EAAEhS,GAAGiS,CAAC,CAAC,CAAC,EAAEnN,EAAE4C,EAAEmJ,EAAEyE,CAAC,EAAE1K,GAAG5K,GAAGiS,CAAC,EAAElV,GAAEiV,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEhE,EAAE,CAAC,CAAC,CAAC,SAAS44B,GAAG54B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,eAAe,qBAAqB,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE1d,EAAE,KAAK,GAAG7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,qBAAqB,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEtX,EAAE,EAAE,CAAC,IAAI6B,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEvI,GAAG,CAAC,EAAEwI,EAAExI,GAAG,EAAE,MAAM,EAAE,EAAE,EAAEjN,EAAE4J,EAAE,EAAE8F,GAAG8F,EAAET,CAAC,CAAC,EAAE/Q,GAAG+Q,EAAEU,CAAC,CAAC,CAAC,CAAC,IAAIX,EAAE22B,GAAG,EAAE,CAAC,EAAE,OAAOhB,GAAG31B,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAIw4B,GAAGrhC,EAAE,CAAC,qBAAqBohC,EAAE,CAAC,EAAE,SAASE,GAAG94B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,UAAU,sBAAsB,OAAO,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE,EAAEA,EAAEvf,EAAE,aAAa,sBAAsB,OAAO,EAAE6B,EAAE0d,EAAErf,EAAE,eAAe,sBAAsB,EAAE,KAAK,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UAC5s8CA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO,EAAE,GAAG0B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,QAAQ3B,EAAE,OAAO,EAAE,WAAW,EAAE,aAAa0B,CAAC,EAAEE,EAAE2c,EAAE,UAAU7zB,GAAGiX,CAAC,EAAE,MAAM,CAAC,cAAcC,EAAE,GAAG,aAAaA,EAAE,GAAG,kBAAkBA,EAAE,GAAG,gBAAgBA,EAAE,EAAE,CAAC,CAAC,IAAI82B,GAAGvhC,EAAE,CAAC,qBAAqBshC,EAAE,CAAC,EAAE,SAASE,GAAGh5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,eAAe,gBAAgB,OAAO,EAAEK,EAAEof,EAAE,EAAE,aAAa,gBAAgB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,WAAW,gBAAgB,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACnqBA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,aAAaD,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE0B,EAAE6c,EAAE,UAAU5zB,GAAG,CAAC,EAAE,MAAM,CAAC,cAAc+W,EAAE,GAAG,YAAYA,EAAE,EAAE,CAAC,CAAC,IAAIk3B,GAAGzhC,EAAE,CAAC,eAAewhC,EAAE,CAAC,EAAE,SAASE,GAAGl5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,OAAO,mBAAmB,EAAEK,EAAEof,EAAE,EAAE,UAAU,oBAAoB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,aAAa,oBAAoB,OAAO,EAAE,GAAGE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YAC7lBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAOue,EAAE,UAAU3zB,GAAG,CAAC,CAAC,CAAC,IAAIkuC,GAAG3hC,EAAE,CAAC,mBAAmB0hC,EAAE,CAAC,EAAE,SAASE,GAAGp5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,OAAO,kBAAkB,EAAEK,EAAEof,EAAE,EAAE,UAAU,mBAAmB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,aAAa,mBAAmB,OAAO,EAAE,GAAGE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACvXA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAOue,EAAE,UAAU1zB,GAAG,CAAC,CAAC,CAAC,IAAImuC,GAAG7hC,EAAE,CAAC,kBAAkB4hC,EAAE,CAAC,EAAE,SAASE,GAAGt5B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAEyd,EAAEzf,EAAE,OAAO,eAAe,QAAQ,EAAE,GAAGgC,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+BA,EAAE,OAAO,EAAE,IAAIC,EAAEwd,EAAE,EAAE,aAAa,cAAc,EAAE,GAAGxd,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIS,EAAE,CAAC,UAAUxC,EAAE,YAAYE,EAAE,QAAQC,EAAE,SAAS,EAAE,SAAS,EAAE,uBAAuB0B,CAAC,EAAEY,EAAE,CAAC,KAAKX,EAAE,WAAWC,CAAC,EAAEW,EAAEgc,EAAE,UAAUlzB,GAAGiX,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,GAAG,aAAaA,EAAE,EAAE,CAAC,CAAC,IAAI22B,GAAG/hC,EAAE,CAAC,cAAc8hC,EAAE,CAAC,EAAE,SAASE,GAAGx5B,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,QAAQ,cAAc,QAAQ,EAAEK,EAAEof,EAAE,EAAE,YAAY,cAAc,QAAQ,EAAE,GAAGrf,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmDA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,UAAUH,CAAC,EAAE,EAAE,CAAC,MAAME,EAAE,UAAUC,CAAC,EAAE0B,EAAE6c,EAAE,UAAUjzB,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,QAAQoW,EAAE,GAAG,OAAOA,EAAE,GAAG,MAAMA,EAAE,EAAE,CAAC,CAAC,IAAI03B,GAAGjiC,EAAE,CAAC,aAAagiC,EAAE,CAAC,EAAE,SAASE,GAAG15B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,QAAQ,yBAAyB,QAAQ,EAAEI,EAAE,CAAC,WAAW,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAIC,EAAE,CAAC,MAAMH,CAAC,EAAE,OAAO0e,EAAE,UAAUhzB,GAAGyU,EAAED,CAAC,CAAC,CAAC,IAAIu5B,GAAGniC,EAAE,CAAC,wBAAwBkiC,EAAE,CAAC,EAAMx9B,GAAG,CAAC,IAAI9J,GAAG,KAAKqB,GAAG,KAAKuG,GAAG,MAAMhG,EAAE,EAAEoH,GAAG,CAAC,cAAc+4B,GAAG,WAAWE,GAAG,MAAME,GAAG,KAAKE,EAAE,EAAE9gC,GAAG,CAAC,cAAckhC,GAAG,eAAeE,GAAG,sBAAsB8B,GAAG,eAAeF,GAAG,iBAAiB1B,GAAG,cAAcN,GAAG,kBAAkBS,GAAG,uBAAuBa,GAAG,2BAA2BE,GAAG,gCAAgCE,GAAG,wBAAwBE,GAAG,6BAA6BE,GAAG,UAAUO,GAAG,UAAUE,EAAE,EAAExiC,GAAG,CAAC,SAAS0iC,GAAG,YAAYE,GAAG,GAAGG,EAAE,EAAEhiC,GAAG,CAAC,mBAAmBoiC,GAAG,oBAAoBF,GAAG,eAAeI,GAAG,UAAUE,GAAG,UAAUE,GAAG,QAAQE,GAAG,iBAAiBE,GAAG,oBAAoBG,GAAG,oBAAoBG,EAAE,EAAE78B,GAAG,CAAC,oBAAoB+8B,GAAG,cAAcE,GAAG,kBAAkBE,GAAG,iBAAiBE,EAAE,EAAE18B,GAAG,CAAC,aAAa48B,GAAG,YAAYE,GAAG,uBAAuBE,EAAE,EAAMj/B,GAAE,CAAC,EAAEuF,GAAGvF,GAAE,CAAC,aAAa,IAAIk/B,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,IAAIF,GAAG,KAAK,CAAC,cAAc,CAAC,OAAO,KAAK,YAAY,SAAS,CAAC,OAAO,WAAWh5B,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE25B,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,aAAa,CAAC,CAAC,CAAC,OAAO,QAAQ,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,SAASj5B,EAAE,CAACi5B,GAAG,OAAO,EAAE,aAAaj5B,EAAE,WAAW,CAACA,EAAEA,EAAE,UAAU,CAAC,CAAC,EAAE,SAASk5B,GAAG95B,EAAE,CAACyX,EAAEzX,EAAE,WAAW,KAAK,IAAI,6EAA6E,EAAEyX,EAAE,OAAOzX,EAAE,WAAW,SAAS,IAAI,sDAAsD,OAAOA,EAAE,SAAS,EAAEyX,EAAEzX,EAAE,UAAU,OAAO,EAAE,IAAI,mFAAmF,EAAE65B,GAAG,SAAS75B,CAAC,CAAC,CAAC,IAAI7X,GAAG,cAAcyxC,EAAE,CAAC,SAASh5B,EAAEV,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,MAAMG,EAAE,MAAMwB,CAAC,EAAE,KAAK,iBAAiBjB,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIkB,EAAE,EAAE,IAAIC,IAAI,CAAC,KAAKA,EAAE,KAAK,OAAOF,EAAEE,EAAE,KAAK,EAAE,EAAE,KAAK,eAAeD,CAAC,CAAC,MAAM,KAAK,eAAeD,CAAC,EAAE,OAAO7Q,GAAG6Q,CAAC,EAAE3B,EAAEG,GAAGA,EAAE,QAAQ,EAAE,KAAK,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,WAAW,CAAC,qBAAqB,CAAC,KAAK,YAAY,KAAK,WAAW,CAAC,CAAC,iBAAiBO,EAAEV,EAAE,CAAC,OAAOtB,GAAGgC,EAAEV,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa,MAAMlP,GAAG,KAAK,WAAW,CAAC,CAAC,MAAM,gBAAgB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,CAAC,KAAK,OAAO,OAAOmJ,GAAG,KAAK,YAAY,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,yDAAyD,CAAC,CAAC,MAAM,WAAWyG,EAAE,CAAC,MAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG,CAAC,CAAC,MAAM,kBAAkBA,EAAE,CAAC,OAAO,KAAK,aAAa,MAAMA,EAAE,GAAG,OAAO,KAAK,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO,eAAezY,GAAG,OAAO,YAAY,CAAC,MAAM6X,GAAGA,EAAE,UAAU,MAAMA,EAAE,kBAAkB,MAAMA,EAAE,gBAAgB,IAAI,CAAC,EAAE,IAAI/f,GAAG,cAAckI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaU,EAAE,KAAK,IAAIV,EAAE,KAAK,QAAQ,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,GAAG,OAAO,KAAK,QAAQ0e,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,UAAU,CAAC,eAAehe,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,GAAG0B,EAAE,GAAG,KAAK,iBAAiBzB,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,eAAe,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,cAAc,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAAS3C,EAAE,IAAI,CAAC,IAAIgF,EAAExV,EAAE4J,EAAEkL,EAAE,KAAK,GAAG,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEY,EAAE7L,EAAE5F,GAAGkL,GAAGlP,EAAE+U,EAAE,KAAK,OAAO,CAAC,EAAE7F,GAAGlP,EAAE8U,EAAE,KAAK,OAAO,CAAC,CAAC,EAAED,CAAC,EAAEa,EAAE1V,EAAE4J,EAAEmL,EAAE,KAAK,GAAG,EAAEnL,EAAEuF,GAAGsG,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEX,EAAE,OAAOU,CAAC,EAAET,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE3V,EAAE4J,EAAE6L,EAAE,CAAC,KAAK,YAAY,EAAEd,CAAC,EAAEA,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,oBAAoB,OAAO7R,GAAG,KAAK,iBAAiB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE5P,GAAG,KAAK,mBAAmB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,iBAAiB,GAAG,KAAK,kBAAkB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,iBAAiBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,IAAI,KAAK,IAAI,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,IAAIA,EAAE,OAAO,CAAC,CAAC,EAAMhgB,GAAG,cAAciI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,aAAaU,EAAE,KAAK,wBAAwBV,EAAE,KAAK,iBAAiB,CAAC,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,SAAS,CAAC,eAAeU,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,GAAG,KAAK,iBAAiBC,IAAI,OAAO,KAAK,iBAAiBA,GAAG,CAAC,aAAa,GAAGD,gBAAgB,SAAS1C,EAAE,IAAIrL,GAAGwP,EAAE,MAAM,KAAK,uBAAuB,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQlB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG0B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB1B,GAAG,SAAS3C,EAAE,IAAI,CAAC,IAAIsE,EAAE9U,EAAE6U,EAAE1F,GAAGyF,CAAC,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAE,IAAIC,EAAE/U,EAAE4J,EAAE5F,GAAG4Q,EAAE1F,GAAGlP,EAAE8U,EAAE4c,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,KAAK,YAAY,EAAE/c,CAAC,EAAEA,EAAE,OAAOI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,MAAMjR,GAAG,KAAK,iBAAiB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,GAAG,KAAK,iBAAiBU,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASV,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,wBAAwB,KAAK,uBAAuB,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,uBAAuB,CAAC,CAAC,EAAM/f,GAAG,cAAcgI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAEG,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaO,EAAE,KAAK,MAAMV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQG,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE3C,EAAE,IAAI,CAAC,KAAK,SAASvD,GAAG+F,CAAC,EAAE,SAAS,EAAE,KAAK,SAAS/F,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEkG,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,MAAM,CAAC,eAAehe,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQU,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAElD,EAAE,IAAI,CAAC,IAAI,EAAEd,GAAG,EAAE,KAAK,QAAQ,EAAEyD,EAAEzD,GAAG,EAAE,KAAK,QAAQ,EAAEsD,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIC,EAAE6c,EAAE,oBAAoB/c,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASnE,EAAE,IAAI8B,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,wBAAwBF,IAAI,OAAO,KAAK,wBAAwBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASnE,EAAE,IAAI8B,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,wBAAwBA,GAAG,SAASc,EAAE1V,EAAE4J,EAAE4L,EAAE,KAAK,KAAK,EAAE5L,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE+L,EAAE3V,EAAE4J,EAAE,EAAE,KAAK,KAAK,EAAEA,EAAEuF,GAAG,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEyG,EAAE5R,GAAG0R,EAAE,CAAC,EAAEoB,EAAE9S,GAAG2R,EAAExC,CAAC,EAAEqC,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOC,CAAC,EAAE,IAAIoB,EAAE/W,EAAE4J,EAAE5F,GAAG4R,EAAE5V,EAAEkP,GAAG4H,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK,YAAY,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOnN,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,EAAE,KAAK,SAAS,OAAOA,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,SAAS,QAAQ,EAAE,KAAK,wBAAwB,MAAM9F,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,yBAAyB,MAAM5P,GAAG,KAAK,wBAAwB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,uBAAuB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAElD,EAAE,IAAI,CAAC,KAAK,SAAS,OAAO1F,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOA,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIkI,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,wBAAwBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAO,CAAC,CAAC,EAAM9f,GAAG,cAAc+H,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAEG,EAAE,KAAKwB,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQG,EAAE,KAAK,MAAMwB,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,2BAA2B,CAAC,EAAEnE,EAAE,IAAI,CAAC,KAAK,UAAUvD,GAAG,CAAC,EAAE,SAAS,EAAE,KAAK,SAASA,GAAG+F,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEG,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,QAAQ,CAAC,eAAehe,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQU,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAElD,EAAE,IAAI,CAAC,IAAI,EAAEd,GAAG,EAAE,KAAK,QAAQ,EAAEyD,EAAEnP,GAAG,CAAC,KAAK,aAAahE,EAAE4J,EAAE,KAAK,UAAU,KAAK,KAAK,EAAE,CAAC,CAAC,EAAEoJ,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIC,EAAE6c,EAAE,oBAAoB/c,GAAGG,EAAE,GAAG,KAAK,uBAAuBF,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASrC,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,KAAK,2BAA2BF,IAAI,OAAO,KAAK,2BAA2BA,GAAG,CAAC,aAAa,GAAGD,MAAM,SAASrC,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,GAAG,OAAOlB,EAAEiB,GAAG,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,GAAG,SAAS,EAAE,KAAK,2BAA2BA,GAAG,SAASc,EAAE1V,EAAE4J,EAAE4L,EAAE,KAAK,KAAK,EAAE5L,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE+L,EAAE/L,EAAE,EAAE,KAAK,KAAK,EAAEgM,EAAE/V,GAAG,CAAC,EAAEiX,EAAE/N,GAAG4M,EAAEC,CAAC,EAAEJ,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOoB,CAAC,EAAE,IAAIC,EAAE/W,EAAE4J,EAAE5F,GAAGmP,EAAE,CAAC,EAAEnP,GAAG0R,EAAE1V,EAAE8W,EAAE,KAAK,OAAO,CAAC,CAAC,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,OAAO/W,EAAE,KAAK,UAAU,CAAC,CAAC,EAAE,KAAK,SAAS,OAAO4J,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,UAAU,QAAQ,EAAE,KAAK,wBAAwB,MAAM9F,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,4BAA4B,MAAM5P,GAAG,KAAK,2BAA2B,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,QAAQ,MAAM,KAAK,KAAK,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,QAAQA,EAAE,KAAK,CAAC,CAAC,EAAMjW,GAAG,cAAc9B,EAAE,CAAC,YAAYyY,EAAE,CAAC,MAAM,EAAE,KAAK,aAAaA,EAAE,KAAK,gBAAgBA,CAAC,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,KAAK,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE,MAAM,QAAQjB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAGyB,GAAG,KAAK,OAAO,IAAIC,EAAE8c,EAAE,oBAAoBxe,GAAG1C,EAAE,IAAI,CAAC,IAAIqE,EAAE7U,EAAE4J,EAAE,KAAK,EAAE+K,CAAC,EAAEC,CAAC,EAAEA,EAAE,OAAOC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,gBAAgBnB,EAAE,CAAC,KAAK,aAAaA,EAAE,KAAK,GAAG,MAAM,KAAK,EAAE,QAAQ,EAAE,KAAK,EAAExM,GAAG+F,GAAG,CAACyG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,YAAY,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,YAAY,CAAC,CAAC,EAAM1Y,GAAG,cAAcyC,EAAE,CAAC,YAAY2W,EAAEV,EAAE,EAAE,GAAG,CAAC,MAAMU,CAAC,EAAE,KAAK,aAAaA,EAAE,KAAK,SAASV,EAAE,KAAK,YAAY,EAAE,KAAK,cAAc,CAAC,EAAE,KAAK,EAAE/F,GAAG,KAAK,QAAQ,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,UAAU,CAAC,eAAeyG,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,GAAG,KAAK,cAAcC,IAAI,OAAO,KAAK,cAAcA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,KAAK,cAAczB,GAAG,SAAS0B,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG2B,GAAG,MAAMrE,EAAE,IAAI,CAAC,IAAIsE,EAAEC,EAAE/U,EAAE4J,EAAE,KAAK,EAAEgL,CAAC,EAAEC,CAAC,EAAE,KAAK,YAAYC,EAAE9U,EAAE4J,EAAE,KAAK,EAAE5J,EAAE6U,EAAEjL,EAAEmL,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAEG,EAAE9U,EAAE4J,EAAE,KAAK,EAAEmL,CAAC,EAAEJ,CAAC,EAAEC,EAAE,OAAOG,CAAC,EAAEJ,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,EAAE,KAAK,eAAe,MAAMhR,GAAG,KAAK,cAAc,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,KAAK,SAASA,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,GAAG,KAAK,cAAcU,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASV,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,SAASA,EAAE,WAAW,CAAC,CAAC,EAAMvX,GAAG,cAAcR,EAAE,CAAC,YAAYyY,EAAEV,EAAE,GAAG,EAAE,EAAEG,EAAE,KAAKwB,EAAE,GAAG,CAAC,GAAG,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMV,EAAE,KAAK,SAAS,EAAE,KAAK,QAAQG,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,SAASwB,EAAExB,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,GAAGhe,GAAG,KAAK,MAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,SAAS,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,GAAG0B,EAAE,GAAG,KAAK,uBAAuBzB,IAAI,OAAO,KAAK,uBAAuBA,GAAG,CAAC,aAAa,GAAGD,QAAQ,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,IAAI,OAAO,KAAK,mBAAmBA,GAAG,CAAC,aAAa,GAAGD,aAAa,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,qBAAqBzB,IAAI,MAAM,KAAK,WAAW,KAAK,qBAAqBA,GAAG,CAAC,aAAa,GAAGD,OAAO,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,GAAG,OAAOO,EAAER,GAAG,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,uBAAuB3B,GAAG,SAAS4B,EAAE,KAAK,mBAAmB5B,GAAG,SAAS3C,EAAE,IAAI,CAAC,IAAIgF,EAAExV,EAAE4J,EAAEkL,EAAE,KAAK,KAAK,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE,GAAG,KAAK,SAAS,CAAC,IAAIY,EAAE,KAAK,qBAAqBtC,GAAG,SAASuC,EAAE1V,EAAE4J,EAAE6L,EAAE,KAAK,KAAK,EAAE7L,EAAEiL,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEc,EAAE3R,GAAG4F,EAAEiL,EAAE,KAAK,YAAY,EAAE3F,GAAGQ,GAAG8F,EAAExV,EAAEmP,GAAGuG,CAAC,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEE,EAAE5V,EAAE4J,EAAEmL,EAAE,KAAK,QAAQ,EAAEY,CAAC,EAAEb,EAAE,OAAOU,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAEX,EAAE,OAAOa,CAAC,EAAE,IAAI,EAAElG,GAAGiF,EAAEiB,CAAC,EAAEjB,EAAE,OAAO,CAAC,CAAC,KAAK,CAAC,IAAIc,EAAEzV,EAAE4J,EAAEkL,EAAE,KAAK,KAAK,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEa,EAAE1V,EAAE4J,EAAEmL,EAAE,KAAK,QAAQ,EAAE/Q,GAAG4F,EAAEiL,EAAE,KAAK,YAAY,EAAE3F,GAAGlP,EAAEyV,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEX,EAAE,OAAOW,CAAC,EAAEV,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAEjG,GAAGiF,EAAEe,CAAC,EAAEf,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,wBAAwB,MAAM7R,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,sBAAsB,MAAM,KAAK,UAAU5P,GAAG,KAAK,qBAAqB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,oBAAoB,MAAM5P,GAAG,KAAK,mBAAmB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,UAAUA,EAAE,KAAK,GAAG,KAAK,oBAAoB,EAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,KAAK,SAASU,EAAE,OAAO,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,WAAW,KAAK,qBAAqBO,EAAE,MAAMV,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,SAAS,KAAK,QAAQ,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,SAASA,EAAE,QAAQA,EAAE,QAAQ,CAAC,CAAC,EAAM65B,GAAG,CAAC95C,GAAGC,GAAGC,GAAGC,GAAGoH,GAAGmB,GAAGsB,EAAE,EAAE,SAAS+vC,IAAI,CAAC,QAAQh6B,KAAK+5B,GAAGD,GAAG95B,CAAC,CAAC,CAAC,IAAIjM,GAAG,CAAC,EAAEkM,GAAGlM,GAAG,CAAC,aAAa,IAAIkmC,GAAG,mBAAmB,IAAIC,GAAG,wBAAwB,IAAI3Z,GAAG,UAAU,IAAI+C,GAAG,cAAc,IAAIrD,GAAG,cAAc,IAAIF,GAAG,WAAW,IAAIoa,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAI/Y,GAAG,yBAAyB,IAAIV,GAAG,6BAA6B,IAAID,GAAG,6BAA6B,IAAIE,GAAG,gBAAgB,IAAIQ,GAAG,eAAe,IAAIP,GAAG,KAAK,IAAIwZ,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIlX,GAAG,YAAY,IAAImX,GAAG,UAAU,IAAIhX,GAAG,mBAAmB,IAAIpC,GAAG,mBAAmB,IAAID,GAAG,YAAY,IAAImC,GAAG,qBAAqB,IAAImX,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,QAAQC,GAAG,QAAQC,GAAG,eAAe,SAASC,GAAG96B,EAAE,CAAC,OAAO,IAAI,QAAQ,GAAG,WAAW,CAAC,CAAC,EAAE,KAAKA,CAAC,CAAC,CAAC,IAAI+6B,GAAG,KAAK,CAAC,YAAYn6B,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,qFAAqF,EAAEgP,EAAE,WAAWm6B,GAAG,UAAU,IAAIn6B,EAAEA,EAAE,MAAMm6B,GAAG,WAAW,MAAM,IAAIn6B,GAAG,MAAMA,EAAE,SAAS,KAAKA,EAAE+5B,IAAI,KAAK,kBAAkB/5B,EAAEg6B,GAAG,KAAK,mBAAmBh6B,EAAEi6B,EAAE,CAAC,MAAM,KAAKj6B,EAAE,CAAC,GAAG,OAAO,UAAU,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIV,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAACU,EAAE,UAAU,EAAE,CAAC,KAAK,0BAA0B,CAAC,CAAC,EAAE,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,uFAAuF,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,kBAAkB,EAAE,QAAQA,EAAE,WAAW,CAAC,EAAEP,EAAEogB,GAAG7f,EAAE,CAAC,EAAEiB,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAUxB,CAAC,CAAC,EAAE,CAAC,KAAK,kBAAkB,CAAC,CAAC,EAAEyB,EAAE,KAAK,iBAAiB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,gBAAgB,GAAGA,EAAE,SAAS,KAAK,kBAAkBA,EAAE,KAAKD,EAAE,MAAMi5B,GAAG,IAAIh5B,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,EAAElB,EAAE,YAAY,KAAK,CAAC,IAAImB,EAAE,KAAK,kBAAkB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,iBAAiBA,EAAE,SAAS,KAAK,mBAAmBA,EAAE,KAAK7B,EAAE,MAAM46B,GAAG,IAAI/4B,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,mBAAmB6e,GAAGhgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEm6B,GAAG,WAAW,eAAe,IAAIC,GAAG,KAAK,CAAC,YAAYp6B,EAAE,CAAC,GAAGA,GAAG,MAAMA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wEAAwEA,GAAG,EAAE,KAAK,SAASA,EAAE,GAAG,KAAK,aAAaA,EAAE,MAAM,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,IAAI,QAAQ,CAACA,EAAEV,IAAI,CAAC,IAAI,EAAE,IAAI,WAAW,EAAE,OAAOG,GAAG,CAAC,IAAIwB,EAAE,KAAK,MAAMxB,EAAE,OAAO,MAAM,EAAEyB,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC5B,EAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG2B,EAAE,iBAAiB,KAAK,CAAC3B,EAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,CAACU,EAAE,CAAC,cAAckB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAE2e,GAAG9e,EAAEI,GAAG,KAAK,YAAYA,CAAC,CAAC,EAAErB,EAAEoB,CAAC,CAAC,EAAE,EAAE,QAAQ3B,GAAGH,EAAE,sEAAsE,KAAK,SAAS,2EAA2E,EAAE,EAAE,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,YAAYU,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ4B,KAAKlB,EAAEV,EAAE,KAAK,GAAG4B,EAAE,OAAO,EAAE,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,IAAIzB,EAAE,KAAK,4BAA4BO,CAAC,EAAEiB,EAAE,EAAE,IAAIC,GAAG,KAAK,gBAAgBA,EAAEzB,EAAEyB,EAAE,CAAC,EAAE,OAAO,QAAQ,IAAID,CAAC,EAAE,KAAKC,GAAG,CAAC5B,EAAEqgB,GAAGze,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBlB,EAAEV,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEG,IAAI,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOC,GAAG,CAAC,IAAIC,EAAED,EAAE,OAAO,OAAO,EAAEC,CAAC,CAAC,EAAEF,EAAE,QAAQC,GAAGzB,EAAE,6CAA6CO,KAAK,EAAEiB,EAAE,kBAAkB3B,CAAC,CAAC,CAAC,CAAC,CAAC,4BAA4BU,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,IAAI2B,GAAG2e,GAAG3e,EAAE,IAAI,CAAC,EAAExB,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAEiB,EAAE,MAAM,QAAQC,GAAG,CAAC,IAAIC,EAAEye,GAAG1e,CAAC,EAAE,GAAG5B,EAAE,QAAQ6B,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,uDAAuDA,IAAI,EAAE,GAAG7B,EAAE,KAAK6B,CAAC,EAAE,EAAE,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,8BAA8BA,qBAAqB,EAAE1B,EAAEyB,GAAG,KAAK,aAAa,EAAE,QAAQC,CAAC,EAAE,CAAC,EAAE,GAAG7B,EAAE,SAAS,KAAK,aAAa,OAAO,MAAM,IAAI,MAAM,wDAAwDA,EAAE,oDAAoD,KAAK,aAAa,UAAU,EAAE,OAAOG,CAAC,CAAC,EAAE46B,GAAGj7B,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW+6B,GAAG,UAAU,EAAEG,GAAGl7B,EAAE,MAAM+6B,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK9Z,GAAG,mBAAmBga,EAAE,EAAE,SAASC,GAAGl7B,EAAE,QAAQ,CAAC,OAAO,IAAI+6B,GAAG/6B,CAAC,CAAC,CAAC,SAASi6B,GAAGj6B,EAAE,CAAC,OAAO,IAAIg7B,GAAGh7B,CAAC,CAAC,CAAC,SAASm7B,GAAGn7B,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAEJ,CAAC,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAE2B,EAAE7B,EAAEE,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE2B,IAAIA,EAAE,KAAKC,GAAG,CAAC,IAAIS,EAAExC,GAAG,EAAEG,EAAEL,EAAE,QAAQI,EAAEF,GAAG,OAAO,EAAEwC,CAAC,EAAET,CAAC,CAAC,EAAED,GAAG,SAAS,EAAEA,EAAE,CAACyV,EAAEzV,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,EAAE,IAAI,qCAAqC,CAAC,CAAC,SAASD,EAAEC,EAAEC,EAAE,CAACwV,EAAEzV,GAAG,GAAGA,GAAG,EAAE,IAAI,oEAAoEA,GAAG,EAAEyV,EAAExV,GAAG,GAAGA,GAAG,EAAE,IAAI,kEAAkEA,GAAG,EAAEwV,EAAExV,GAAGD,EAAE,IAAI,yEAAyEA,qBAAqBC,GAAG,CAAC,CAAC,OAAO,QAAQ,IAAIjC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,eAAeo7B,GAAGp7B,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,CAAC,GAAG,IAAIE,EAAE,EAAE,WAAW,KAAKtO,EAAE,EAAE,SAAS,MAAM,EAAE,UAAUwO,EAAEJ,EAAE,IAAI2C,GAAGzC,EAAEyC,EAAE,EAAE,YAAY,CAAC,SAAS,EAAE,CAAC,CAAC,EAAEtC,EAAE,EAAE,EAAE,GAAG0B,GAAG,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAI3B,CAAC,EAAE,MAAM+6B,GAAG/6B,EAAE,EAAE,WAAWC,EAAE,CAAC,GAAG,IAAIsC,GAAGA,EAAE,YAAY,CAAC,EAAEX,EAAE,GAAG,EAAE,EAAE,OAAO,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAID,CAAC,EAAE,MAAMo5B,GAAGp5B,EAAE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,eAAeu4B,GAAGv6B,EAAE,EAAE,GAAGE,EAAEE,EAAE,CAAC,OAAOo6B,GAAG14B,GAAGs5B,GAAGt5B,EAAE,CAAC,YAAY1B,CAAC,CAAC,CAAC,EAAEJ,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASs6B,GAAGx6B,EAAE,CAAC,MAAO,OAAM,EAAEE,EAAE,GAAGE,IAAI,CAAC,IAAIC,EAAE,EAAE,IAAI,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,EAAED,GAAG,KAAKA,EAAE,IAAI,IAAI,EAAE,EAAE,CAAC,EAAE2B,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,CAACc,EAAEC,IAAI,CAAC,IAAIkB,EAAE,EAAEnB,EAAE,QAAQ,QAAQ,GAAG,CAAC,IAAIyE,EAAE,iBAAiB,EAAE,EAAE,aAAa,MAAM,EAAE,MAAM,EAAEuY,GAAGvY,GAAGuQ,GAAG,EAAE,KAAK,EAAEpT,EAAE,IAAI,CAACpE,EAAEyC,GAAG,GAAG,EAAEA,IAAI,OAAO,EAAEA,GAAG,CAAC,GAAG,EAAEA,GAAG,KAAK,CAAC,cAAc,EAAE,YAAYkB,EAAE,UAAU,CAAC,CAAC,CAAC,EAAE5D,GAAG,KAAKA,EAAE,QAAQ,CAACsE,EAAEC,IAAI,CAACD,IAAI,EAAE,OAAOD,EAAE,EAAE,EAAEE,GAAG,GAAG,CAAC,EAAEF,EAAE,EAAE1C,EAAE,KAAK,EAAE,IAAI,EAAEiC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,MAAMnB,GAAGA,CAAC,EAAE,CAAC,IAAIA,EAAEzC,EAAE,OAAO,CAAC0C,EAAEkB,IAAI,CAAC,EAAEA,EAAE,EAAE,MAAM,IAAI,MAAM,kDAAkDnB,EAAE,KAAK,IAAI;AAAA,wCAC10pBd,EAAE,KAAK,IAAI,IAAI,CAAC,CAAC,IAAIC,EAAE3B,EAAE,OAAO,CAACwC,EAAEC,EAAEkB,KAAKlB,GAAGD,EAAE,KAAKmB,CAAC,EAAEnB,GAAG,CAAC,CAAC,EAAEZ,EAAE,CAAC,EAAED,EAAE,QAAQa,GAAG,CAAC,EAAEA,GAAG,MAAM,QAAQC,GAAG,CAAC,IAAIkB,EAAE9D,GAAGA,EAAE,SAAS,GAAG,EAAE,GAAG,KAAK4C,EAAEb,EAAE,KAAK+B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAItB,EAAE,MAAM1C,EAAEiC,CAAC,EAAEU,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAOZ,EAAE,QAAQa,GAAG,CAAC,IAAIC,EAAE,EAAED,GAAG,MAAM,OAAOmB,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE5B,EAAE4B,IAAIV,GAAGtB,EAAEE,EAAE8B,GAAG,WAAW,IAAI,EAAE,IAAI,YAAYV,CAAC,EAAEsD,EAAE,IAAI,WAAW,CAAC,EAAE,EAAE,EAAE,QAAQ5C,EAAE,EAAEA,EAAE5B,EAAE4B,IAAI,CAAC,IAAIC,EAAE,IAAI,WAAWjC,EAAEE,EAAE8B,EAAE,EAAE4C,EAAE,IAAI3C,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAU,CAAC,EAAE9B,GAAG,QAAQ6B,GAAG,CAAC,IAAIC,EAAE,EAAE,MAAMD,EAAE,YAAYA,EAAE,YAAYA,EAAE,SAAS,EAAEE,EAAEqb,GAAGtb,EAAE,CAACD,EAAE,aAAa,CAAC,EAAE,QAAQG,KAAKD,EAAEjC,EAAEkC,GAAGD,EAAEC,EAAE,CAAC,EAAEjC,GAAGE,CAAC,CAAC,EAAEH,CAAC,CAAC,CAAC,IAAI04B,GAAG,2BAA2BC,GAAG,mBAAmBC,GAAG,KAAK,CAAC,YAAY36B,EAAEV,EAAE,CAAC,GAAG,KAAK,eAAe,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,iBAAiBA,EAAE,iBAAiB,KAAK,WAAWA,EAAE,WAAW,KAAK,mBAAmBA,EAAE,mBAAmBA,EAAE,WAAW,MAAMuX,EAAE,OAAOvX,EAAE,WAAW,WAAW,IAAI,6HAA6H,EAAE,KAAK,MAAMA,EAAE,WAAW,KAAK,MAAMtO,EAAE,EAAE,SAAS,MAAM6lB,EAAE7W,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,MAAM,QAAQA,CAAC,GAAG6W,EAAE7W,EAAE,SAAS,EAAE,IAAI,iEAAiEA,EAAE,UAAU,EAAE,KAAK,KAAKA,EAAEV,EAAE,aAAa,MAAMA,EAAE,YAAY,MAAM,KAAK,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,YAAYA,EAAE,aAAa,CAAC,CAAC,CAAC,MAAM,KAAKU,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIV,EAAE,OAAO,OAAO,CAAC,OAAO,KAAK,cAAc,EAAE,KAAK,WAAW,EAAEA,EAAE,KAAK,IAAI,SAAS,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,qBAAqB,EAAE,QAAQU,EAAE,WAAW,CAAC,EAAEP,EAAEogB,GAAG7f,EAAE,CAAC,EAAEV,EAAE,KAAK,OAAO,aAAa,IAAI,KAAK,CAAC,KAAK,UAAUG,CAAC,CAAC,EAAE,CAAC,KAAKi7B,EAAE,CAAC,EAAE,YAAY,EAAE16B,EAAE,YAAY,MAAMV,EAAE,KAAK,OAAO,oBAAoB,IAAI,KAAK,CAACU,EAAE,UAAU,EAAE,CAAC,KAAKy6B,EAAE,CAAC,EAAE,mBAAmB,EAAE,IAAIx5B,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK3B,CAAC,EAAE,GAAG2B,EAAE,GAAG,MAAM,CAAC,mBAAmB+e,GAAGhgB,CAAC,EAAE,UAAU,CAACiB,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gEAAgEA,EAAE,SAAS,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIjB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,WAAW,EAAE,GAAG,CAACA,EAAE,GAAG,MAAM,IAAI,MAAM,cAAc,KAAK,gCAAgCA,EAAE,+EAA+E,EAAE,IAAIV,EAAE,GAAG,CAACA,EAAE,MAAMU,EAAE,KAAK,CAAC,OAAOiB,EAAN,CAAS,IAAIC,EAAE,+CAA+C,KAAK,QAAQ,MAAM,KAAK,KAAK,SAAS,KAAK,EAAEA,GAAG,+UAA+UA,GAAG,uEAAuE,IAAI,MAAMA,CAAC,CAAC,CAAC,IAAI,EAAE5B,EAAE,cAAcG,EAAEH,EAAE,gBAAgB,GAAG,GAAG,MAAMG,GAAG,KAAK,MAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D,EAAE,OAAOsgB,GAAGzgB,EAAE2B,GAAG,KAAK,YAAYA,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYjB,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQ,KAAK,IAAI,EAAE,KAAK,KAAK,GAAG,KAAK,KAAK,CAAC,EAAEG,CAAC,EAAEm7B,GAAGt7B,CAAC,EAAE2B,EAAE,KAAK,kBAAkB,EAAEC,EAAE+e,GAAGjgB,CAAC,EAAEmB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQU,KAAK9B,EAAE,QAAQ,KAAK8B,EAAE,MAAM,KAAK,oBAAoB,KAAKV,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAED,EAAE,KAAKF,EAAE,EAAExB,CAAC,EAAE,KAAK,oBAAoB0B,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAIC,CAAC,CAAC,EAAE,IAAI,EAAE,MAAMo5B,GAAGr5B,EAAE,CAAC,YAAY,KAAK,YAAY,UAAU,KAAK,MAAM,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAACD,EAAEye,GAAG,CAAC,CAAC,CAAC,CAAC,EAAEgb,GAAG,iBAAiB,eAAe,SAASC,GAAGx7B,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY,GAAG,EAAEE,EAAEF,EAAE,YAAY,GAAG,EAAEI,EAAEJ,EAAE,UAAU,EAAE,CAAC,EAAEK,EAAEH,EAAE,EAAEF,EAAE,UAAUE,CAAC,EAAE,GAAG,MAAM,CAACE,EAAE,IAAIC,CAAC,CAAC,CAAC,SAASi6B,GAAGt6B,EAAE,CAAC,OAAOA,EAAE,MAAMu7B,GAAG,gBAAgB,GAAG,IAAI,CAAC,IAAIE,GAAG,CAACz7B,EAAE,IAAI,CAAC,GAAG,OAAO,OAAO,cAAc,GAAG,MAAM,EAAE,WAAW,MAAM,OAAO,KAAK,CAAC,IAAIE,EAAE,GAAG,GAAG,MAAM,QAAQF,CAAC,EAAEE,EAAEF,EAAE,MAAMI,GAAGk6B,GAAGl6B,CAAC,CAAC,EAAEF,EAAEo6B,GAAGt6B,CAAC,EAAEE,EAAE,OAAOm6B,GAAGr6B,EAAE,CAAC,CAAC,CAAC,OAAO,IAAI,EAAEihB,GAAG,mBAAmBwa,EAAE,EAAExa,GAAG,mBAAmBwa,EAAE,EAAE,SAASpB,GAAGr6B,EAAE,EAAE,CAAC,OAAO,IAAIu7B,GAAGv7B,EAAE,CAAC,CAAC,CAAC,SAASk6B,GAAGl6B,EAAE,EAAE,CAAC,OAAOq6B,GAAGr6B,EAAE,CAAC,CAAC,CAAC,IAAI07B,GAAG,KAAK,CAAC,YAAY96B,EAAE,CAAC,KAAK,eAAeA,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,cAAc,CAAC,EAAE+6B,GAAG,KAAK,CAAC,YAAY/6B,EAAE,CAAC,KAAK,YAAYA,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,CAAC,CAAC,EAAEg7B,GAAG,KAAK,CAAC,YAAYh7B,EAAE,CAACA,EAAE,OAAO,KAAK,KAAK,IAAI,QAAQ,QAAQA,EAAE,KAAK,CAAC,GAAGA,EAAE,OAAO,KAAK,KAAKV,GAAG,QAAQ,QAAQU,EAAE,KAAKV,CAAC,CAAC,EAAE,CAAC,EAAE,SAASi6B,GAAGn6B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,UAAU,OAAO,IAAIu7B,GAAGxB,GAAG,GAAG/5B,CAAC,CAAC,CAAC,CAAC,SAAS+5B,GAAGp6B,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,UAAU,SAAS,EAAEJ,EAAE,eAAe,MAAMA,EAAE,aAAa,KAAK,IAAI07B,GAAG17B,CAAC,GAAG,QAAQ,KAAK,uNAAuN,EAAE,IAAI07B,GAAG,CAAC,cAAc17B,CAAC,CAAC,IAAI,QAAQ,KAAK,uNAAuN,EAAE,IAAI07B,GAAG,CAAC,cAAc17B,EAAE,YAAY,EAAE,WAAWE,EAAE,eAAeE,CAAC,CAAC,EAAE,CAAC,SAASq6B,GAAGz6B,EAAE,CAAC,OAAO,IAAI27B,GAAG37B,CAAC,CAAC,CAAC,SAAS06B,GAAG16B,EAAE,CAAC,OAAO,IAAI27B,GAAG37B,CAAC,CAAC,CAAC,IAAIpK,GAAG,CAAC,EAAEqK,GAAGrK,GAAG,CAAC,gBAAgB,IAAIimC,EAAE,CAAC,EAAE,SAASC,GAAG97B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,iBAAiB,EAAEK,EAAEof,EAAE,EAAE,cAAc,iBAAiB,EAAEhI,EAAEvX,GAAG,MAAMA,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,+DAA+DA,GAAG,EAAEuX,EAAErX,EAAE,OAAO,EAAE,IAAI,gDAAgDA,EAAE,MAAM,EAAEqX,EAAEpX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,MAAM,EAAEoX,EAAErX,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,uCAAuCD,EAAE,MAAM,UAAUC,EAAE,MAAM,qEAAqE,EAAEoX,EAAEvX,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,4DAA4DA,GAAG,EAAE,IAAI,EAAE7I,GAAGtI,GAAEqR,EAAE,OAAO,EAAEF,CAAC,EAAE,EAAE7I,GAAGtI,GAAEsR,EAAE,OAAO,EAAEH,CAAC,EAAE6B,EAAEhE,GAAG,CAAC,EAAEiE,EAAErM,GAAGoM,EAAE,CAAC,EAAE,OAAOhT,GAAEiT,EAAE,OAAO,CAAC,CAAC,IAAI65B,GAAGrkC,EAAE,CAAC,iBAAiBskC,EAAE,CAAC,EAAMltC,GAAG,CAAC,EAAEqR,GAAGrR,GAAG,CAAC,WAAW,IAAImtC,GAAG,gBAAgB,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,SAASC,GAAGn8B,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIE,EAAE,GAAGE,EAAE,GAAGC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG0B,EAAE,GAAG,GAAG/B,EAAE,gBAAgB,WAAWE,EAAE,WAAW,OAAO,WAAW,aAAaF,aAAa,UAAUI,EAAE,WAAW,OAAO,kBAAkB,aAAaJ,aAAa,iBAAiBK,EAAE,WAAW,OAAO,kBAAkB,aAAaL,aAAa,iBAAiB,EAAE,WAAWA,EAAE,YAAY,KAAK,EAAE,WAAW,OAAO,aAAa,aAAaA,aAAa,YAAY+B,EAAE,OAAQ,OAAM,IAAI,MAAM,qPAAqP/B,EAAE,YAAY,MAAM,EAAE,GAAG/M,GAAGzO,GAAGo6B,EAAE,WAAW,GAAG,KAAK,CAAC,IAAI9b,EAAE,CAAC,OAAO9C,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAE,OAAO4e,EAAE,UAAUp6B,GAAGse,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,EAAEJ,CAAC,EAAErC,EAAE,CAACL,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,EAAEA,EAAE,WAAW,IAAI,EAAE,aAAa,EAAE,EAAE,EAAE0C,CAAC,EAAE,aAAatC,GAAGF,EAAE,EAAEF,EAAE,aAAa,GAAGK,GAAG0B,EAAE,CAAC,GAAGm6B,IAAI,KAAK,GAAG,OAAO,UAAU,YAAY,GAAG,OAAO,iBAAiB,aAAa,OAAO,mCAAmC,YAAYA,GAAG,IAAI,gBAAgB,EAAE,CAAC,EAAE,WAAW,IAAI,MAAO,OAAM,IAAI,MAAM,sGAAsG,OAAOA,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmB,EAAE,CAAC,EAAEA,GAAG,OAAO,MAAM,EAAEA,GAAG,OAAO,OAAOx5B,EAAEw5B,GAAG,UAAUl8B,EAAE,EAAE,EAAE,EAAE0C,CAAC,EAAE,EAAEw5B,GAAG,aAAa,EAAE,EAAE,EAAEx5B,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,WAAW,CAAC,MAAM,CAAC,IAAIE,EAAE,EAAEJ,EAAEE,EAAE,IAAI,WAAWE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAErB,EAAE,EAAE,EAAEqB,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,OAAO7G,GAAGwF,EAAE,CAACF,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS05B,GAAGp8B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,gBAAgB,UAAU,CAAC,SAASq8B,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,aAAa,aAAa,OAAO,eAAe,mBAAmB,CAAC,CAAC,SAASC,GAAGt8B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,QAAQ,GAAGA,EAAE,SAAS,CAAC,CAAC,SAASu8B,GAAGv8B,EAAE,CAAC,OAAOq8B,GAAG,GAAG,EAAEr8B,aAAa,cAAcs8B,GAAGt8B,CAAC,GAAG,CAACo8B,GAAGp8B,CAAC,CAAC,CAAC,eAAeg8B,GAAGh8B,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGtO,EAAE,EAAE,QAAQ,qBAAqB,GAAG2qC,GAAGv8B,CAAC,EAAE,CAAC,IAAII,EAAE,GAAG,CAACA,EAAE,MAAM,kBAAkBJ,EAAE,CAAC,iBAAiB,MAAM,CAAC,CAAC,OAAOK,EAAN,CAASD,EAAE,IAAI,CAACA,GAAG,MAAMA,EAAE,QAAQJ,EAAE,OAAOI,EAAE,SAASJ,EAAE,OAAOE,EAAEE,EAAEF,EAAEF,CAAC,MAAME,EAAEF,EAAE,OAAOm8B,GAAGj8B,EAAE,CAAC,CAAC,CAAC,eAAe+7B,GAAGj8B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,MAAM,UAAU,EAAE,GAAG,EAAEA,aAAa9T,IAAI,CAAC,IAAI+V,EAAE/B,EAAEA,EAAEnR,GAAEkT,EAAE,OAAO,EAAEA,EAAE,QAAQ,CAAC,CAAC,GAAG/B,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wDAAwDA,EAAE,OAAO,EAAE,GAAG,CAACE,EAAEC,CAAC,EAAEH,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEA,EAAE,MAAM,GAAG,GAAG,EAAE,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,0DAA0D,GAAG,EAAE,GAAGA,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,kCAAkCA,EAAE,6CAA6C,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAE6B,EAAE7B,EAAE,QAAQ,UAAU,IAAI,EAAE8B,EAAE,IAAI,kBAAkB3B,EAAED,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE7B,EAAEC,EAAE,EAAE4B,EAAE,CAAC,IAAIS,EAAE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAE,EAAEZ,EAAE,EAAEW,GAAG,GAAG1C,EAAE,QAAQ,WAAW,GAAG2C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,mFAAmFA,IAAI,UAAU3C,EAAE,QAAQ,UAAU2C,EAAE,GAAGA,EAAE,KAAK,MAAM,IAAI,MAAM,mFAAmFA,IAAI,EAAE,IAAI,GAAGH,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,EAAEW,EAAE,GAAGG,EAAEd,GAAGW,EAAEE,GAAGC,EAAEd,CAAC,CAAC,IAAIY,EAAEV,EAAE,EAAED,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEV,EAAEW,EAAE,GAAG,KAAK,MAAMD,EAAE,EAAE,CAAC,CAAC,GAAG,GAAG,KAAK,CAAC,EAAE,MAAMrC,EAAE,EAAE,OAAOD,EAAE,IAAI6B,EAAE,EAAE,WAAW,IAAI,EAAES,EAAE,IAAI,UAAUV,EAAE3B,EAAED,CAAC,EAAE6B,EAAE,aAAaS,EAAE,EAAE,CAAC,CAAC,CAAC,OAAOxC,IAAIF,GAAGE,EAAE,QAAQ,EAAE8B,CAAC,CAAC,IAAI+5B,GAAGvkC,EAAE,CAAC,YAAY2kC,EAAE,CAAC,EAAMrpC,GAAG,CAAC,EAAEmN,GAAGnN,GAAG,CAAC,mBAAmB,IAAI0pC,EAAE,CAAC,EAAE,SAASA,GAAGx8B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,OAAOI,EAAE,EAAE,MAAM,OAAO,GAAGF,EAAE,EAAE,MAAM,IAAI,MAAM,4EAA4EA,IAAI,EAAE,GAAGE,EAAE,EAAE,MAAM,IAAI,MAAM,8EAA8EA,IAAI,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGF,EAAE,MAAM,IAAI,MAAM,iEAAiE,EAAE,MAAME,EAAE,UAAUF,GAAG,EAAE,GAAG2X,GAAG7X,EAAE,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mEAAmEA,EAAE,QAAQ,EAAE,IAAIK,EAAE,EAAE,MAAM,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,QAAQsC,EAAE,EAAEA,EAAEtC,EAAE,OAAO,EAAE,EAAEsC,EAAE,GAAGtC,EAAEsC,GAAG,IAAIZ,EAAE/B,EAAE,MAAMgC,EAAE3B,EAAE,MAAM,EAAE2B,EAAE,IAAI,EAAE,IAAIC,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAEzC,EAAE,EAAEyC,EAAEV,GAAGF,EAAEY,GAAGX,EAAE,KAAKD,EAAEY,EAAE,EAAE,IAAID,EAAE,CAAC,GAAG2W,GAAGrZ,EAAE,KAAK,EAAE,IAAI2C,GAAGA,EAAEV,CAAC,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAI9G,GAAG,CAAC,EAAEqE,GAAGrE,GAAG,CAAC,kBAAkB,IAAI6gC,GAAG,kBAAkB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,eAAe,IAAIC,GAAG,sBAAsB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,GAAGC,GAAG,GAAG,SAASf,GAAGz8B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,OAAOyX,EAAErX,IAAI,EAAE,OAAO,IAAI,iBAAiBA,uBAAuB,uCAAuCA,KAAK,EAAEqX,EAAErX,IAAIF,EAAE,OAAO,IAAI,iBAAiBE,sBAAsBF,uCAAuCE,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAEoX,EAAE,EAAEpX,GAAGH,EAAEG,IAAIL,EAAE,MAAMK,GAAG,IAAI,iBAAiBD,aAAaC,aAAaA,OAAO,EAAEA,GAAGH,EAAEG,kCAAkCA,OAAOL,EAAE,MAAMK,KAAK,CAAC,CAAC,SAASy8B,GAAG98B,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEE,EAAE,EAAE,KAAKF,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAKE,CAAC,EAAEF,GAAG,EAAEE,IAAI,OAAO,CAAC,CAAC,SAASy8B,GAAG38B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAEC,GAAG,KAAK,MAAM,EAAEA,GAAGL,EAAEK,IAAIH,EAAEG,EAAE,EAAE,OAAOD,CAAC,CAAC,SAASk9B,GAAGt9B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAGL,CAAC,EAAE,QAAQ,EAAEK,EAAE,OAAO,EAAED,EAAE,OAAO,IAAIC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAI,IAAI,EAAEG,EAAE,GAAG,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAEA,EAAE,IAAI,GAAG,OAAOA,CAAC,CAAC,SAASo9B,GAAGz9B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAGF,EAAEE,EAAEA,GAAG,EAAE,EAAE,CAAC,SAASw9B,GAAG19B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAEI,IAAIF,EAAE,KAAK,EAAEE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS08B,GAAG58B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEjC,EAAE,OAAO0C,EAAE,IAAI,MAAMT,CAAC,EAAEU,EAAE,IAAI,MAAMV,CAAC,EAAEW,EAAE,IAAI,MAAMX,CAAC,EAAE,GAAG,EAAE,QAAQ/B,EAAE,EAAE,CAAC,IAAI2C,EAAE,EAAE,GAAGC,EAAE5C,EAAE,EAAEwC,EAAEw6B,GAAG,EAAEr6B,EAAEC,EAAE1C,EAAEJ,CAAC,EAAE2C,EAAEy6B,GAAGr7B,EAAEc,EAAEC,EAAEzC,EAAEL,CAAC,EAAE4C,EAAE06B,GAAG,EAAEz6B,EAAEC,EAAE9C,CAAC,CAAC,KAAM,SAAQ6C,EAAE,EAAEA,EAAEZ,EAAEY,IAAIH,EAAEG,GAAGo6B,GAAG,EAAE78B,EAAE,EAAEJ,EAAE6C,EAAEb,CAAC,EAAEW,EAAEE,GAAGs6B,GAAGp7B,EAAE1B,EAAE,EAAEL,EAAE6C,EAAEb,CAAC,EAAEY,EAAEC,GAAGw6B,GAAG,EAAEx6B,EAAEb,CAAC,EAAE,MAAM,CAAC,MAAMU,EAAE,IAAIC,EAAE,QAAQC,CAAC,CAAC,CAAC,SAASs6B,GAAGl9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAEq9B,GAAGx9B,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,MAAM,CAAC,IAAIC,EAAEy7B,GAAG,EAAEv9B,EAAE6B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGhC,EAAE,GAAGgC,IAAIC,EAAE,GAAG,EAAEF,GAAGE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASm7B,GAAGp9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAEq9B,GAAGx9B,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,GAAG,OAAO,qBAAqB,CAAC,IAAIC,EAAEy7B,GAAG,EAAEv9B,EAAE6B,CAAC,EAAEE,EAAE7B,EAAE4B,GAAGhC,EAAE,GAAGgC,IAAIC,EAAE,OAAO,kBAAkB,EAAEF,GAAGE,CAAC,CAAC,QAAQF,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAG,IAAI,EAAEA,IAAIC,GAAG,EAAED,GAAGqV,GAAG,EAAE,EAAErV,GAAG1B,EAAE0B,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASs7B,GAAGr9B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOE,EAAE,GAAG,GAAGE,GAAG,QAAQA,EAAE,GAAGA,CAAC,CAAC,SAAS68B,GAAGj9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE7B,EAAEG,IAAI,GAAGL,EAAE,GAAGK,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAG,EAAEoV,GAAG,EAAE,EAAEpV,EAAE,CAAC,EAAE,CAAC,CAAC,SAASm7B,GAAGn9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAG0B,EAAE7B,EAAEG,IAAI,GAAGL,EAAE,GAAGK,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,GAAG,OAAO,EAAE,IAAI,GAAG2B,GAAGD,EAAE,EAAE,EAAEqV,GAAG,EAAE,EAAEpV,CAAC,EAAE,EAAEoV,GAAG,GAAG,EAAEpV,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS66B,GAAG78B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAI,GAAGH,EAAEG,GAAG,EAAE,CAACD,EAAEC,EAAE,KAAK,CAAC,QAAQA,EAAED,EAAE,EAAEC,EAAEH,EAAE,OAAOG,IAAI,GAAG,EAAEA,GAAG,GAAGH,EAAEG,KAAKL,EAAEK,GAAG,MAAM,GAAG,MAAM,EAAE,CAAC,SAASq8B,GAAG18B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,IAAIF,GAAGF,EAAEI,GAAG,EAAEA,GAAG,OAAOF,CAAC,CAAC,SAAS68B,GAAG/8B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAEL,EAAE,MAAM,OAAO,OAAO,GAAG,SAASI,EAAE,CAAC,EAAE,GAAG,IAAI,MAAMC,EAAE,CAAC,EAAE,KAAK,CAAC,CAAC,EAAE,EAAE,OAAOA,EAAED,EAAE,EAAE,OAAO,IAAI,MAAMC,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAED,EAAE,EAAE,MAAM,EAAEA,EAAE,QAAQ,GAAG,CAACqX,EAAE,IAAI,GAAG,IAAI,mDAAmD,CAAC,CAAC,EAAE,IAAI,EAAE,OAAOvX,GAAG,KAAK,EAAE,IAAI,MAAMG,CAAC,EAAE,KAAK,EAAE,EAAE,OAAOH,GAAG,SAAS,EAAE,CAACA,EAAE,GAAG,IAAI,MAAMG,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,OAAOG,EAAE,EAAEH,EAAE,OAAO,IAAI,MAAMG,EAAEH,EAAE,MAAM,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,EAAE,IAAI,CAAC,EAAE6B,IAAI,GAAG,EAAE,GAAG0V,EAAE,IAAI,GAAG,IAAI,qDAAqD,mCAAmC1V,IAAI,EAAE/B,EAAE,MAAM+B,GAAG3B,EAAE2B,GAAG,EAAE,CAAC3B,EAAE,CAAC,CAAC,CAAC,SAAS48B,GAAGh9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,GAAG7B,GAAG,MAAM6B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE7B,EAAE,GAAG,OAAO,EAAE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAIsC,EAAE,GAAGC,EAAE,CAAC,KAAKV,EAAE,OAAO,wBAAwB,EAAE,MAAM,EAAE,MAAM,EAAE,IAAI/B,EAAE,MAAM,EAAE,QAAQ+B,EAAE,MAAM,EAAE,UAAU5B,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAE9B,EAAE,KAAK8B,IAAI/B,IAAI,GAAG+B,EAAE1C,KAAK,GAAGY,EAAE,0BAA0B,GAAG8B,EAAE,IAAI/B,EAAE,IAAIA,IAAIC,EAAE,cAAc,GAAGA,EAAE,KAAKA,EAAE,QAAQ,IAAIC,EAAE,CAAC,KAAK5C,EAAE,OAAO,UAAU,EAAE,QAAQ,EAAE,WAAW,GAAG,SAAS,EAAE,EAAE29B,GAAGh7B,EAAEC,CAAC,EAAE,IAAIC,EAAE,GAAGC,EAAE,GAAGkB,EAAE,GAAG,EAAE,CAAC,EAAEsD,EAAE,CAAC,EAAE,QAAQ7C,EAAE,EAAEA,EAAEzE,EAAE,OAAO,EAAEyE,EAAE,CAAC,GAAG7B,EAAE,QAAQ6B,KAAK,EAAE,MAAM,MAAM,WAAWA,qBAAqB,EAAE,IAAIC,EAAE,CAAC,EAAE9B,EAAE,eAAe,GAAG6B,GAAGE,EAAE3E,EAAEyE,GAAG,GAAGE,IAAI,GAAG,CAAC,EAAE,KAAKD,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,IAAIE,EAAE,CAAChC,EAAE,UAAU,GAAG6B,EAAE7B,EAAE,QAAQ,GAAG6B,CAAC,EAAEI,EAAE,CAACjC,EAAE,QAAQ6B,GAAG,EAAE,EAAE,GAAG7B,EAAE,QAAQ6B,GAAG,EAAEE,EAAEA,EAAE,CAAC,EAAE,GAAGD,GAAG9B,EAAE,QAAQ6B,IAAI,EAAE,MAAM,MAAM,8CAA8C,EAAET,EAAEA,GAAGpB,EAAE,QAAQ6B,KAAK,EAAE,IAAIM,EAAE,CAAC,EAAEnC,EAAE,UAAU,GAAG6B,GAAG7B,EAAE,QAAQ,GAAG6B,GAAG,GAAG7B,EAAE,YAAYA,EAAE,SAAS,CAAC,GAAG8B,EAAE,CAAC,IAAIQ,EAAEtC,EAAE,MAAM6B,GAAG,EAAEE,EAAE/B,EAAE,MAAM6B,GAAG7B,EAAE,MAAM6B,GAAG,GAAG7B,EAAE,MAAM6B,GAAGS,EAAEtC,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAG,EAAES,EAAE,GAAGA,GAAGP,EAAE,MAAM,MAAM,eAAe/B,EAAE,MAAM6B,mBAAmBA,kBAAkB,CAAC,MAAM7B,EAAE,MAAM6B,GAAGm5B,GAAGh7B,EAAE,MAAM6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAEC,CAAC,EAAEjC,EAAE,IAAI6B,GAAGm5B,GAAGh7B,EAAE,IAAI6B,GAAG,EAAE7B,EAAE,QAAQ6B,GAAGE,EAAEC,EAAEC,CAAC,EAAE,IAAII,EAAErC,EAAE,QAAQ6B,KAAK,GAAG7B,EAAE,MAAM6B,KAAK,GAAG7B,EAAE,IAAI6B,KAAKE,EAAE9B,EAAEA,GAAGoC,EAAEnC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGQ,EAAE,MAAMpC,EAAEA,GAAGD,EAAE,QAAQ6B,KAAK,GAAGM,EAAEjC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,KAAK,GAAGM,GAAG,IAAIwC,EAAEvC,EAAE,GAAG,GAAGpC,EAAE,YAAYA,EAAE,UAAU2E,EAAE3E,EAAE,IAAI6B,GAAG7B,EAAE,MAAM6B,GAAGO,EAAE,IAAIN,GAAG6C,EAAE,EAAEvC,EAAE,IAAID,GAAGJ,GAAG,IAAI/B,EAAE,QAAQ6B,GAAG,EAAE8C,EAAE,CAAC5C,EAAE4C,EAAE5C,EAAEK,EAAE,IAAIA,EAAE,CAAC,IAAIC,EAAEsC,IAAI,GAAGA,EAAE,GAAG3E,EAAE,QAAQ6B,GAAG,EAAEQ,EAAE,EAAEA,EAAE,KAAK,MAAMsC,EAAE3E,EAAE,QAAQ6B,EAAE,GAAG8C,EAAE3E,EAAE,QAAQ6B,KAAK,EAAE,EAAE,GAAG,EAAE,KAAKQ,CAAC,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,QAAQR,EAAE,EAAEA,EAAE7B,EAAE,wBAAwB,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE,wBAAwB6B,GAAGC,GAAG,EAAE4C,EAAE,KAAK,EAAE5C,EAAE,EAAEA,IAAI64B,IAAIj2B,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,iBAAiBA,EAAE,OAAO,CAAC7C,EAAEC,IAAI9B,EAAE,wBAAwB8B,KAAK64B,EAAE,EAAE,WAAWj2B,EAAE,WAAWzE,EAAE,UAAUC,EAAE,cAAckB,EAAE,MAAMpB,EAAE,MAAM,IAAIA,EAAE,IAAI,QAAQA,EAAE,OAAO,CAAC,CAAC,SAAS+6B,GAAG39B,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,QAAQ,EAAE,EAAE,eAAe,EAAE,IAAIE,EAAE,EAAE,EAAE,WAAWF,EAAE,OAAO,KAAK,EAAE,SAASA,EAAE,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,IAAI,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,QAAQ,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,wBAAwB,CAAC,EAAE,EAAE,8BAA8B,CAAC,EAAE,EAAE,8BAA8B,IAAI,MAAM,EAAE,IAAI,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,IAAI,GAAG,GAAGA,EAAEJ,EAAE,aAAa,CAAC,IAAIK,EAAE,KAAK,IAAI,EAAE,MAAML,EAAE,KAAKI,GAAG,EAAEJ,EAAE,wBAAwB,EAAE,IAAI,EAAE,KAAKE,EAAEG,EAAEH,IAAI,EAAE,MAAMA,GAAG,EAAE,EAAE,IAAIA,GAAG,EAAE,EAAE,QAAQA,GAAG,EAAE,EAAE,WAAW,GAAGA,EAAE,EAAE,SAAS,GAAGA,EAAE,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,8BAA8BA,GAAGE,CAAC,SAAS,GAAGA,EAAEJ,EAAE,YAAY,EAAE,wBAAwB,KAAKu9B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,MAAM,CAAC,GAAGr9B,IAAI,EAAE,MAAM,OAAO,MAAM,MAAM,sCAAsCA,qBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS,EAAEF,EAAE,OAAO,OAAO,EAAE,MAAME,GAAGF,EAAE,MAAMI,IAAIJ,EAAE,KAAK,OAAO,EAAE,IAAIE,GAAGF,EAAE,IAAII,IAAI,EAAE,QAAQF,GAAGF,EAAE,QAAQI,GAAGJ,EAAE,UAAU,GAAGI,IAAI,EAAE,WAAW,GAAGF,GAAGF,EAAE,QAAQ,GAAGI,IAAI,EAAE,SAAS,GAAGF,GAAGF,EAAE,eAAe,GAAGI,GAAG,EAAE,wBAAwB,KAAKo9B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,gBAAgB,GAAGt9B,IAAI,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAKE,CAAC,GAAG,EAAE,8BAA8BF,GAAGE,EAAEF,GAAG,CAAC,CAAC,SAAS09B,GAAG59B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAGA,EAAE,GAAG,OAAOH,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEF,EAAE,EAAEI,EAAEJ,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,IAAIjB,GAAG,QAAY3W,GAAG,KAAK,CAAC,OAAO,IAAIwY,EAAE,CAAC,OAAO,IAAI3W,GAAG2W,CAAC,CAAC,CAAC,OAAO,SAASA,EAAEV,EAAE,EAAE,GAAG,CAAC,OAAO,IAAI1Y,GAAGoZ,EAAEV,EAAE,CAAC,CAAC,CAAC,OAAO,QAAQU,EAAEV,EAAE,GAAG,EAAE,EAAEG,EAAE,KAAKwB,EAAE,GAAG,CAAC,OAAO,IAAIlZ,GAAGiY,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAKjB,EAAE,KAAKV,EAAE,GAAG,EAAE,KAAKG,EAAE,KAAK,CAAC,OAAO,IAAIlgB,GAAGygB,EAAEV,EAAE,EAAEG,CAAC,CAAC,CAAC,OAAO,SAASO,EAAE,KAAKV,EAAE,IAAI,EAAE,KAAK,CAAC,OAAO,IAAIjgB,GAAG2gB,EAAEV,EAAE,CAAC,CAAC,CAAC,OAAO,OAAOU,EAAE,KAAKV,EAAE,GAAG,EAAE,KAAKG,EAAE,KAAKwB,EAAE,EAAE,CAAC,OAAO,IAAIzhB,GAAGwgB,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,OAAO,QAAQjB,EAAEV,EAAE,GAAG,CAAC,OAAO,IAAIhgB,GAAG0gB,EAAEV,CAAC,CAAC,CAAC,EAAMpC,GAAG1V,GAAOy1C,IAAI,IAAI,OAAO,uBAAuB,YAAY,sBAAsB,OAAO,cAAc,YAAY,aAAa79B,GAAGA,EAAE,GAAG,EAAE,SAAS9I,IAAI,CAAC,OAAO,IAAI,QAAQ8I,GAAG69B,GAAG,IAAI79B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIhS,EAAE,CAAC,EAAEiS,GAAGjS,EAAE,CAAC,OAAO,IAAI8vC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,MAAM,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAI9K,GAAG,2BAA2B,IAAI5K,GAAG,2BAA2B,IAAIe,GAAG,uBAAuB,IAAI4U,GAAG,mBAAmB,IAAIC,GAAG,qBAAqB,IAAIjV,GAAG,gBAAgB,IAAIgJ,GAAG,oBAAoB,IAAIkM,GAAG,0BAA0B,IAAIxY,GAAG,iBAAiB,IAAIuD,GAAG,kCAAkC,IAAIkV,GAAG,qBAAqB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,kBAAkB,IAAI3Z,GAAG,kBAAkB,IAAIK,GAAG,kBAAkB,IAAIK,GAAG,sBAAsB,IAAIZ,GAAG,yBAAyB,IAAI8Z,GAAG,0BAA0B,IAAIpV,GAAG,gBAAgB,IAAIqV,GAAG,kBAAkB,IAAI5Z,GAAG,kBAAkB,IAAIE,GAAG,wBAAwB,IAAIJ,GAAG,qBAAqB,IAAI+Z,GAAG,+BAA+B,IAAIhZ,GAAG,qBAAqB,IAAI2D,GAAG,SAAS,IAAIsV,GAAG,UAAU,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,mBAAmB,IAAIvV,GAAG,iBAAiB,IAAIf,GAAG,oBAAoB,IAAIuW,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAI/L,GAAG,qBAAqB,IAAID,GAAG,eAAe,IAAIiM,GAAG,iBAAiB,IAAIzV,GAAG,YAAY,IAAI0V,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAI3W,GAAG,YAAY,IAAI4W,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,aAAa,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,kDAAkD,IAAIC,GAAG,qDAAqD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,8CAA8C,IAAIC,GAAG,uDAAuD,IAAIC,GAAG,wDAAwD,IAAIC,GAAG,6DAA6D,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,uBAAuB,IAAI7W,GAAG,sBAAsB,IAAI8W,GAAG,IAAI,IAAIlmB,GAAG,uBAAuB,IAAImmB,GAAG,mBAAmB,IAAIrE,GAAG,iBAAiB,IAAIsE,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIrN,GAAG,WAAW,IAAI93B,GAAG,uBAAuB,IAAIolC,GAAG,8BAA8B,IAAI/a,GAAG,kBAAkB,IAAIF,GAAG,WAAW,IAAIznB,GAAG,0BAA0B,IAAI2iC,GAAG,cAAc,IAAIxO,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIjY,EAAE,CAAC,EAAE,SAAS+jB,GAAGx+B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOA,EAAE,QAAQ,CAACK,EAAE,IAAI,CAACoX,EAAEpX,EAAE,SAASH,EAAE,IAAI,kBAAkBA,uBAAuB,gDAAgDA,IAAI,CAAC,CAAC,EAAEuX,EAAE,GAAG,GAAG,EAAEvX,EAAE,IAAI,kBAAkBA,kCAAkCA,EAAE,IAAI,EAAE,IAAIE,EAAEJ,EAAE,GAAGA,EAAE,QAAQ,CAACK,EAAE,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAIuX,EAAE,IAAI,GAAGpX,EAAE,KAAKD,EAAE,GAAG,IAAI,kBAAkBF,wBAAwB,OAAOG,4CAA4CD,sCAAsC,IAAI,CAAC,CAAC,CAAC,CAAC,SAAS2+B,GAAG/+B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIF,EAAE,IAAIF,EAAEI,GAAG,GAAG,OAAOF,CAAC,CAAC,IAAIm+B,IAAI,SAASr+B,EAAE,CAACA,EAAEA,EAAE,eAAe,GAAG,iBAAiBA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,YAAY,GAAG,cAAcA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,WAAW,GAAG,YAAY,GAAGq+B,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASM,GAAG3+B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAM,GAAGF,GAAG,MAAM,GAAG,KAAK,OAAOE,EAAE,GAAG,GAAG,KAAK,KAAKA,EAAE,OAAOJ,EAAEE,EAAE,QAAQE,EAAE,KAAK,EAAE,OAAOA,EAAE,EAAE,MAAM,EAAE,GAAGF,GAAG,KAAK,OAAOE,EAAE,GAAGJ,EAAEE,EAAE,SAASE,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,uCAAuCJ,EAAEE,EAAE,4BAA4BE,EAAE,QAAQ,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAI,EAAEH,EAAEG,GAAG,EAAED,EAAEA,EAAE,OAAOF,EAAE,OAAOG,GAAG0B,EAAE3B,EAAE,GAAG,GAAG,GAAG,EAAE,GAAG2B,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,sCAAsC1B,EAAEL,QAAQ,eAAeK,EAAEL,QAAQ+B,GAAG,OAAO3B,EAAE,GAAG,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASy/B,GAAG7/B,EAAE,CAAC,IAAI,EAAE,CAAC,eAAeq+B,GAAG,eAAe,aAAaA,GAAG,aAAa,YAAYA,GAAG,YAAY,WAAWA,GAAG,WAAW,WAAWA,GAAG,WAAW,WAAWA,GAAG,UAAU,EAAEn+B,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,GAAGI,KAAK,EAAEF,EAAE,KAAK,EAAEE,EAAE,MAAO,OAAM,OAAOF,CAAC,CAAC,SAASw/B,GAAG1/B,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,EAAEA,EAAE,KAAKq+B,GAAG,eAAer+B,EAAE,OAAO,EAAEA,EAAE,MAAM,CAAC,SAASihC,GAAGjhC,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,GAAG,KAAK,OAAO,IAAIE,EAAEF,EAAE,OAAOI,EAAE,EAAE,OAAO,GAAGF,GAAGE,EAAE,MAAM,IAAI,MAAM,sBAAsBJ,wCAAwC,4CAA4CE,6DAA6DE,IAAI,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,IAAIH,EAAEE,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,EAAE,EAAEA,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,sBAAsBL,+CAA+C,0CAA0CK,EAAEL,EAAE,aAAa,8CAA8CK,EAAEL,EAAE,aAAa,GAAG,CAAC,CAAC,CAAC,IAAIo+B,GAAG,GAAG,SAASU,GAAG9+B,EAAE,CAAC,OAAOA,GAAGo+B,GAAGp+B,EAAEoZ,GAAGpZ,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw/B,GAAGx/B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,GAAG,OAAOF,GAAG,SAASA,EAAEA,EAAE,IAAIK,EAAE,GAAG,OAAOL,GAAG,SAASA,EAAEA,EAAE,IAAI,MAAM,CAACI,EAAEC,CAAC,CAAC,CAAC,SAASs/B,GAAG3/B,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,GAAGD,EAAEC,EAAEA,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,EAAEA,EAAE,KAAKL,EAAE,GAAGE,CAAC,EAAEG,EAAEA,EAAE,OAAOL,EAAE,MAAM,CAAC,CAAC,MAAM,CAACK,EAAEA,EAAE,OAAOL,EAAE,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEK,EAAEA,EAAE,OAAO,CAACL,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,CAAC,EAAEK,EAAEA,EAAE,OAAOL,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOK,CAAC,CAAC,SAASo/B,GAAGz/B,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGF,EAAE,CAACE,EAAE,KAAK,CAAC,EAAE,QAAQC,EAAE,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAEA,GAAG,EAAE,GAAGD,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKC,GAAG,EAAE,EAAE,GAAGD,EAAE,KAAKC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,IAAI,EAAE,EAAE,KAAK,CAAC,EAAEK,EAAE,KAAK,CAAC,EAAED,EAAE,KAAK,GAAGC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASw/B,GAAG5/B,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAED,EAAEC,EAAE,KAAKL,EAAE,GAAGE,CAAC,EAAEG,EAAE,KAAKL,EAAE,GAAGE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,OAAOI,EAAEC,EAAE,KAAK,EAAE,EAAE,GAAGL,EAAE,EAAE,EAAEK,EAAE,KAAKL,EAAE,GAAG,EAAE,EAAE,EAAE,EAAEK,EAAE,KAAKL,EAAE,EAAE,EAAE,OAAOK,CAAC,CAAC,SAASy/B,GAAG9/B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKF,EAAEI,GAAG,EAAE,EAAE,OAAOF,CAAC,CAAC,SAAS6/B,GAAG//B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAED,EAAE,KAAKJ,EAAEK,EAAE,GAAG,EAAEA,GAAG,GAAG,EAAEA,GAAG,EAAE,EAAE,OAAOD,CAAC,CAAC,IAAIm+B,GAAG,mBAAmBD,GAAG,mBAAuBH,GAAG,SAASL,GAAG,WAAWC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,YAAY,SAAS2C,GAAG7gC,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,gEAAgEA,EAAE,iBAAiB,EAAE,SAAS,EAAE,IAAIE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAEF,EAAEE,GAAGJ,EAAEI,EAAE,GAAGF,EAAEE,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOF,CAAC,CAAC,SAAS8gC,GAAGhhC,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,GAAG,EAAE,EAAEA,EAAE,GAAGJ,EAAEI,GAAGF,EAAEE,EAAE,GAAGJ,EAAEI,EAAE,GAAG,MAAM,CAAC,KAAK,EAAE,KAAKF,CAAC,CAAC,CAAC,SAAS0+B,GAAG5+B,EAAE,CAAC,IAAI,EAAE,KAAK,KAAKA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,GAAG,EAAEH,EAAE,KAAK,MAAMG,EAAE,CAAC,GAAGL,EAAEK,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGL,EAAEK,EAAE,GAAG,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASy+B,GAAG7+B,EAAE,CAAC,IAAI,EAAE,KAAK,MAAMA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,GAAG,EAAEH,EAAE,KAAK,MAAMG,EAAE,CAAC,GAAGL,EAAEK,GAAGD,EAAE,KAAK,MAAMC,EAAE,CAAC,GAAGL,EAAEK,EAAE,GAAG,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASi/B,GAAGr/B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,EAAE,GAAGI,EAAEJ,EAAE,EAAE,EAAE,GAAG,MAAM,CAAC,KAAKE,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASq+B,GAAGz+B,EAAE,EAAEE,EAAEE,EAAE,CAACJ,EAAEI,EAAE,GAAG,EAAEJ,EAAEI,EAAE,EAAE,GAAGF,CAAC,CAAC,SAASg/B,GAAGl/B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,EAAE,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,KAAK,KAAKL,EAAE,CAAC,EAAEK,IAAI,CAAC,IAAI,GAAG,EAAE,EAAE,IAAI,KAAK,IAAIA,EAAEL,GAAGE,EAAEG,GAAG,KAAK,IAAI,CAAC,EAAED,EAAEC,GAAG,KAAK,IAAI,CAAC,CAAC,CAAC,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAAS6+B,GAAGj/B,EAAE,EAAEE,EAAE,CAAC,IAAIE,GAAGF,EAAE,EAAE,IAAI,KAAK,IAAIF,EAAE,GAAGK,EAAE,KAAK,IAAID,CAAC,EAAE,EAAE,KAAK,IAAIA,CAAC,EAAE,MAAM,CAAC,KAAKC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAI6gC,GAAG,KAAKC,GAAG,MAAMC,GAAG,IAAIC,GAAG,MAAM,SAASrC,GAAGh/B,EAAE,EAAE,CAACA,EAAEA,EAAE,QAAQ,MAAM,EAAE,EAAE,IAAIE,GAAGF,EAAE,OAAOA,EAAE,QAAQmhC,GAAG,EAAE,EAAE,QAAQD,GAAG,OAAO,GAAGhhC,EAAE,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6CghC,OAAO,EAAE,GAAG,CAAC9gC,EAAEC,CAAC,EAAEL,EAAE,MAAMkhC,EAAE,EAAEzpB,EAAErX,EAAE,QAAQihC,EAAE,IAAI,GAAG,IAAI,2BAA2BA,4BAA4B,EAAE,IAAI,EAAEjhC,EAAE,MAAMghC,EAAE,EAAE,EAAE,EAAE,OAAO,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,EAAE,IAAIr/B,EAAE,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAEvC,EAAE,OAAO,EAAEuC,EAAE,CAAC,IAAIC,EAAExC,EAAEuC,GAAG,GAAG,CAAC,EAAE,KAAKE,GAAGA,EAAE,QAAQD,CAAC,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,uCAAuCA,wCAAwC,EAAEd,EAAE,QAAQc,CAAC,IAAI,IAAId,EAAE,KAAKc,CAAC,CAAC,CAAC,QAAQD,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC,IAAIC,EAAEzC,EAAEwC,GAAGb,EAAE,QAAQc,CAAC,IAAI,IAAIA,IAAIu+B,IAAIr/B,EAAE,KAAKc,CAAC,CAAC,CAAC,IAAIb,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,GAAG,IAAI,IAAI,EAAEA,GAAG,MAAM,EAAE,CAAC,EAAE,OAAO,EAAEA,GAAG,OAAO,MAAM,IAAI,MAAM,2CAA2C,EAAEA,iEAAiE,EAAEZ,EAAEY,GAAG,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAED,GAAG,OAAO,EAAEC,EAAEb,EAAEY,GAAG,KAAKb,EAAE,QAAQ,EAAEa,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAIZ,EAAEF,EAAE,OAAOW,EAAErC,EAAE,OAAOsC,EAAE,CAAC,EAAE,QAAQC,EAAEF,EAAEE,EAAEX,EAAE,EAAEW,EAAED,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,QAAQb,EAAE,WAAWY,EAAE,OAAOX,CAAC,CAAC,CAAC,SAASu9B,GAAGv/B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,CAAC,EAAEE,EAAE,KAAK,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEH,EAAE,EAAEG,IAAIA,EAAE,IAAID,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAEH,EAAEG,KAAK,IAAID,EAAE,KAAKC,CAAC,EAAE,OAAOH,EAAEA,EAAE,OAAOG,GAAGA,IAAI,EAAE,EAAE,CAAC,mBAAmBH,EAAE,WAAWE,CAAC,CAAC,CAAC,SAASs+B,GAAG1+B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMJ,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAI,EAAEH,EAAEG,GAAG,MAAM,QAAQ,EAAE,EAAE,EAAE,EAAEA,GAAG,OAAO,EAAE,EAAED,EAAE,EAAEC,GAAG,MAAM,OAAOD,EAAE,EAAEC,GAAG,IAAI,EAAE,GAAGoX,EAAErX,EAAE,EAAEC,GAAG,MAAM,EAAE,GAAG,IAAI,sBAAsBD,EAAE,EAAEC,GAAG,eAAe,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,IAAI,CAAC,CAAC,CAAC,SAASi/B,GAAGt/B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEI,EAAE,CAAC,EAAEC,EAAE,EAAEL,EAAE,SAAS,GAAGE,EAAE,KAAK,EAAE,EAAEG,EAAEL,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,GAAG8B,EAAEs/B,GAAG,EAAEv/B,CAAC,EAAE,QAAQE,KAAKD,EAAE,EAAE,QAAQC,CAAC,IAAI,KAAK7B,EAAE,GAAG,KAAK6B,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,CAAC,MAAM,CAAC,KAAK/B,EAAE,MAAME,CAAC,CAAC,CAAC,SAASwgC,GAAG5gC,EAAE,CAAC,OAAOA,EAAE,MAAM,CAAC,EAAEE,IAAI,IAAIA,CAAC,CAAC,CAAC,SAASohC,GAAGthC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,GAAGJ,EAAEI,GAAG,SAAS,GAAGJ,EAAEI,GAAG,QAAQ,CAAC,IAAI,IAAI,IAAI,KAAKF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS4gC,GAAG9gC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAG,OAAO,GAAG,SAASqX,EAAEzX,EAAE,MAAME,GAAG,IAAI,EAAE,IAAI,+CAA+C,EAAEE,EAAE,IAAI,MAAM,CAAC,EAAE,KAAKJ,EAAE,MAAME,GAAG,CAAC,MAAM,CAAC,IAAIG,EAAE,EAAE,OAAO,CAAC,EAAE0B,KAAKA,IAAI,KAAK,GAAG,GAAG,GAAG,CAAC,EAAE0V,EAAEpX,GAAG,EAAE,IAAI,yDAAyD,EAAE,IAAI,EAAE,EAAE,QAAQ,EAAE,EAAE,GAAG,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAIA,EAAE,EAAED,EAAEC,EAAED,CAAC,EAAE,EAAE,GAAG/B,EAAE,MAAME,GAAG,CAAC,CAACuX,EAAEzX,EAAE,MAAME,KAAK,EAAE,OAAO,CAAC,EAAE6B,IAAI,EAAEA,CAAC,EAAE,IAAI,6DAA6D,EAAE3B,EAAE,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS4/B,GAAGhgC,EAAE,CAAC,MAAM;AAAA,uBACxm1BA,GAAG,CAAC,SAASigC,GAAGjgC,EAAE,EAAE,CAAC,MAAM,WAAWA,qBAAqB,OAAO,CAAC,SAASkgC,GAAGlgC,EAAE,EAAEE,EAAE,CAAC,MAAM,WAAWF,qBAAqB,QAAQE,GAAG,CAAC,SAASogC,GAAGtgC,EAAE,EAAE,CAAC,MAAM,iDAAiDA,SAAS,GAAG,CAAC,SAASugC,GAAGvgC,EAAE,EAAE,CAAC,MAAM,QAAQA,+BAA+B,GAAG,CAAC,SAASmgC,IAAI,CAAC,MAAM,+GAA+G,CAAC,SAASE,GAAGrgC,EAAE,EAAE,CAAC,IAAIE,EAAE2X,GAAG7X,CAAC,EAAEI,EAAEyX,GAAG,CAAC,EAAE,MAAM,2CAA2C3X;AAAA,iEAC/cE,iBAAiBJ,kBAAkB,GAAG,CAAC,SAASogC,GAAGpgC,EAAE,EAAE,CAAC,IAAIE,EAAE2X,GAAG7X,CAAC,EAAEI,EAAEyX,GAAG,CAAC,EAAE,MAAM,qCAAqC3X,+CAA+CE,iBAAiBJ,iBAAiB,GAAG,CAAC,SAASygC,IAAI,CAAC,MAAM,0BAA0B,CAAC,SAASC,IAAI,CAAC,MAAM,gCAAgC,CAAC,SAASC,GAAG3gC,EAAE,EAAE,CAAC,MAAM,cAAcA,sBAAsB,sDAAsD,CAAC,SAASwgC,GAAGxgC,EAAE,EAAEE,EAAE,CAAC,MAAM,gBAAgBF,SAAS,sBAAsBE,IAAI,CAAC,IAAI6gC,GAAG,CAAC,EAAE9gC,GAAG8gC,GAAG,CAAC,yBAAyB,IAAIQ,GAAG,gBAAgB,IAAIC,GAAG,8BAA8B,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGzhC,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGE,EAAE,IAAIJ,GAAGo+B,IAAIh+B,EAAEJ,EAAEE,EAAE,IAAIE,EAAEgZ,GAAGpZ,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,EAAE,CAACE,GAAGE,EAAE,GAAGA,IAAIJ,EAAEE,EAAE,GAAGE,EAAEgZ,GAAGpZ,EAAEI,EAAE,CAAC,EAAE,OAAOA,CAAC,CAAC,SAASohC,GAAGxhC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAEL,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEK,EAAE,IAAI,IAAI,EAAED,EAAE,KAAKJ,EAAE,EAAE,EAAEI,EAAE,KAAKF,CAAC,EAAE,OAAOE,CAAC,CAAC,SAASmhC,GAAGvhC,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,OAAO,EAAEL,EAAE,MAAM,OAAO,GAAGI,IAAI,IAAIA,EAAE,CAACC,GAAGD,EAAEC,GAAG,MAAM,IAAI,MAAM,sCAAsCA,MAAMA,eAAeD,GAAG,EAAE,GAAGA,EAAE,IAAIA,GAAGC,GAAGD,EAAE,EAAE,MAAM,IAAI,MAAM,cAAcA;AAAA,MACvkC,KAAK,EAAE,GAAGF,EAAEE,EAAE,MAAM,IAAI,MAAM,cAAcA,0CAA0CF,KAAK,EAAE,QAAQyC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,GAAG3C,EAAE,MAAM2C,KAAK,EAAE,MAAMA,GAAG,MAAM,IAAI,MAAM,WAAWA,OAAO3C,EAAE,MAAM2C,uCAAuCA,OAAO,EAAE,MAAMA,KAAK,EAAE,IAAI,EAAE3C,EAAE,MAAME,GAAG6B,EAAE,CAAC,EAAEC,EAAE,EAAEC,EAAE,EAAES,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEZ,EAAE,KAAK/B,EAAE,MAAM2C,EAAE,EAAEX,GAAGhC,EAAE,MAAM2C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAEzC,EAAEyC,IAAIZ,EAAE,KAAK/B,EAAE,MAAM2C,EAAE,EAAEV,GAAGjC,EAAE,MAAM2C,GAAG,QAAQA,EAAEvC,EAAEuC,EAAEtC,EAAEsC,IAAIZ,EAAE,KAAK,EAAE,MAAMY,EAAE,EAAE,QAAQA,EAAEzC,EAAE,EAAEyC,EAAE,EAAEA,IAAIZ,EAAE,KAAK/B,EAAE,MAAM2C,EAAE,EAAED,GAAG1C,EAAE,MAAM2C,GAAG,MAAM,CAAC,UAAUX,EAAE,UAAUU,EAAE,UAAUT,EAAE,QAAQ,EAAE,YAAYF,CAAC,CAAC,CAAC,SAASq9B,GAAGp/B,EAAE,CAAC,GAAG,CAAC,OAAOA,EAAE,IAAI,GAAG+a,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,4DAA4D,GAAG,CAAC,CAAC,CAAC,SAASokB,GAAGn/B,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAGgb,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI3mB,GAAG,CAAC,EAAE4L,GAAG5L,GAAG,CAAC,wBAAwB,IAAIohC,GAAG,wBAAwB,IAAIE,GAAG,wBAAwB,IAAIC,GAAG,UAAU,IAAIzD,EAAE,CAAC,EAAE6H,GAAG,EAAE,IAAI0H,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACkgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEvD,GAAG1N,GAAEmR,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMyhC,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACigB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE/D,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAEG,EAAEjE,GAAGQ,GAAGzC,GAAG,CAAC,EAAEiG,CAAC,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG8O,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMuhC,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACggB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEhE,GAAGQ,GAAGP,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOhP,GAAG8O,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMyhC,GAAG,CAAC,WAAWxhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2f,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE/B,EAAEgC,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE7B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE/B,EAAEgC,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM0hC,GAAG,CAAC,WAAWxhD,GAAG,cAAc,GAAG,SAAS,CAAC0f,EAAE,IAAI,CAAC,IAAIE,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAACH,EAAEG,GAAG,IAAIL,EAAE,MAAM,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAM6hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACuf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIV,GAAGU,CAAC,CAAC,CAAC,CAAC,EAAM8hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIV,GAAGU,CAAC,CAAC,CAAC,CAAC,EAAM+hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACqf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE5D,GAAGQ,GAAGzC,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMgiC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACof,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEhE,GAAGlP,EAAEiN,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAOhP,GAAG8O,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+hC,GAAG,CAAC,WAAWrhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACkf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7U,EAAEmP,GAAG6D,CAAC,EAAE7D,GAAG+D,CAAC,CAAC,EAAE4B,EAAElL,EAAEkJ,EAAE9O,GAAGkP,EAAE2B,CAAC,CAAC,EAAEE,EAAE8mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEnF,GAAGmF,EAAEC,CAAC,GAAGvI,EAAEsI,EAAE9B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE7U,EAAEmP,GAAG6D,CAAC,EAAE7D,GAAG+D,CAAC,CAAC,EAAE4B,EAAE/K,GAAGH,EAAEkJ,EAAE9O,GAAGgP,EAAE6B,CAAC,CAAC,CAAC,EAAEE,EAAE8mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEnF,GAAGmF,EAAEC,CAAC,GAAGvI,EAAEsI,EAAE5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMgiC,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACmf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE9S,EAAEmP,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMmiC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACif,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAEpD,GAAGzC,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASoiC,GAAGtiC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,KAAK,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,QAAQ,eAAe,EAAEzd,EAAE,EAAEC,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGV,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEuI,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAEikB,GAAG,gBAAgB7lB,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,GAAGX,EAAE,MAAMC,CAAC,EAAEW,EAAE,CAAC,WAAW1C,EAAE,QAAQE,EAAE,IAAIC,EAAE,gBAAgB,CAAC,EAAEwC,EAAE+b,EAAE,UAAU19B,GAAGyhB,EAAEC,CAAC,EAAE,OAAOF,EAAEhJ,EAAEmJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI0/B,GAAG/qC,EAAE,CAAC,eAAe8qC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC+e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,EAAE,gBAAgB0B,CAAC,EAAE7B,EAAE,MAAM,CAAC,EAAE,IAAIqiC,GAAGviC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS0gC,GAAGziC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,KAAK,aAAa,EAAE,EAAEyf,EAAE,EAAE,QAAQ,aAAa,EAAEhI,EAAE,EAAE,OAAO,EAAE,KAAK,IAAI,kBAAkB,EAAE,oCAAoC,EAAE,OAAO,EAAE,IAAI1V,EAAE,EAAEC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGF,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEsI,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEyV,EAAE1V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE,IAAIW,EAAE,CAAC,GAAGV,EAAE,MAAMD,CAAC,EAAEY,EAAE,CAAC,WAAWzC,EAAE,QAAQE,EAAE,IAAIC,CAAC,EAAEuC,EAAEgc,EAAE,UAAUz9B,GAAGuhB,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAI8/B,GAAGlrC,EAAE,CAAC,aAAairC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW3hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAIwiC,GAAG1iC,EAAEI,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMuiC,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW,CAAC,EAAEH,EAAE,MAAM,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIvK,GAAGqK,EAAEK,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI1K,GAAGyK,EAAEJ,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE,IAAIrK,GAAGqK,EAAEK,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI1K,GAAGqK,EAAEI,EAAE,GAAG,EAAE,CAAC,EAAE,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIzK,GAAG0K,EAAEL,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIrK,GAAGyK,EAAEJ,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,IAAIrK,GAAG0K,EAAEL,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIrK,GAAGqK,EAAEI,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,EAAMyiC,GAAG,CAAC,WAAWvhD,GAAG,SAAS,CAAC0e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWE,EAAE,MAAMC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAInE,GAAGiE,EAAEI,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMyiC,GAAG,CAAC,WAAWrhD,GAAG,SAAS,CAACue,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAEG,EAAED,EAAE,WAAW,EAAEA,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ4B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAEA,IAAI,GAAG3B,EAAE2B,KAAK,EAAEA,GAAG,EAAEA,GAAG,UAAU3B,EAAE2B,KAAK,EAAE,MAAM,IAAI,MAAM,mBAAmB3B,8BAA8B,KAAK,EAAE,IAAI0B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,GAAGD,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAInF,GAAGmD,EAAE+B,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMghC,GAAG,CAAC,WAAWnhD,GAAG,SAASoe,IAAI,CAAC,EAAE,IAAIA,EAAE,MAAM,CAAC,EAAE,EAAMgjC,GAAG,CAAC,WAAWnhD,GAAG,SAASme,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMijC,GAAG,CAAC,WAAWnhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACke,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,aAAaC,EAAE,aAAa,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAIb,GAAGhK,GAAG7B,GAAG4M,EAAEC,CAAC,EAAE5L,GAAG2L,EAAE,CAAC,CAAC,EAAEJ,EAAER,GAAGQ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkjC,GAAG,CAAC,WAAWlhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS0/C,GAAG,QAAQ,EAAMyB,GAAG,CAAC,WAAWlhD,GAAG,cAAc,GAAG,SAAS,CAAC+d,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,KAAK3B,CAAC,EAAEH,EAAE,EAAEoY,GAAGjY,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAED,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE,OAAO7F,GAAG6D,EAAE,EAAE,CAAC,EAAE,IAAIgC,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAMohC,GAAG,CAAC,WAAWlhD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC8d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,CAAC,EAAE9B,EAAE,OAAOuX,EAAEsO,GAAG,CAAC,EAAE,IAAI,iHAAiH,IAAI,EAAE,CAAC,EAAE,IAAI+B,GAAG1nB,EAAE,MAAMJ,EAAEK,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO,IAAIsxB,GAAGlzB,EAAEJ,EAAEK,EAAE,MAAM,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMqhC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,KAAK,QAAQ,EAAE,SAAS,CAAC4d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,WAAW0B,EAAE,gBAAgBC,CAAC,EAAE9B,EAAE,MAAM,CAAC,GAAG,IAAIvQ,GAAGqQ,EAAEK,EAAE,EAAE,EAAE0B,EAAE,EAAEC,CAAC,EAAE,OAAO,IAAIsxB,GAAGtzB,EAAEI,EAAEC,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASshC,GAAGtjC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEA,EAAE,OAAO,IAAI,EAAEtG,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAG,IAAI,EAAE,EAAE,EAAE,OAAO,IAAI,EAAEtG,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,GAAG+d,EAAE,EAAE,OAAO,EAAE,IAAI,iEAAiE,EAAE,QAAQ,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,8DAA8D,EAAE,QAAQ,EAAEA,EAAEvX,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAEuX,EAAE,EAAE,MAAM,KAAKvX,EAAE,GAAG,IAAI,4CAA4C,EAAE,MAAM,yCAAyCA,EAAE,KAAK,EAAEuX,EAAE,EAAE,MAAM,KAAKvX,EAAE,GAAG,IAAI,0CAA0C,EAAE,MAAM,2CAA2CA,EAAE,MAAM,EAAE,IAAI6B,EAAE,CAAC,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAE,CAAC,QAAQ5B,EAAE,IAAIC,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUt8B,GAAGyf,EAAEC,CAAC,CAAC,CAAC,IAAIuhC,GAAG/rC,EAAE,CAAC,sBAAsB8rC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWnhD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC2d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUE,EAAE,QAAQC,EAAE,IAAI,CAAC,EAAEH,EAAEuX,EAAEsO,GAAG3lB,CAAC,EAAE,IAAI,iHAAiHA,IAAI,EAAE,GAAG,CAAC,EAAE2B,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAImmB,GAAG,EAAE,MAAMloB,EAAE+B,EAAE1B,EAAE,CAAC,EAAE,OAAO,IAAIkjC,GAAG,EAAEvjC,EAAE+B,EAAE,MAAM1B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMojC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACwd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEG,GAAGoE,GAAGtM,GAAEmR,EAAE,SAAS,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM0jC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACud,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEwE,GAAGvM,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM2jC,GAAG,CAAC,WAAW/gD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACod,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI6B,EAAE8nB,GAAG,CAACxpB,CAAC,EAAED,EAAE,IAAI,EAAE4B,EAAE5R,GAAG4P,EAAEK,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0B,GAAG,OAAOC,EAAEjE,GAAGiE,EAAED,CAAC,GAAGC,CAAC,CAAC,CAAC,CAAC,EAAM4hC,GAAG,CAAC,WAAW3gD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC+c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUE,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAEH,EAAE6B,EAAE3B,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEqX,EAAEsO,GAAGhkB,CAAC,EAAE,IAAI,mHAAmHA,IAAI,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE,EAAE,OAAOwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,kFAAkFA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,mFAAmFA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,MAAM,KAAKC,EAAE,MAAM,GAAG,IAAI,mEAAmED,EAAE,MAAM,qDAAqDC,EAAE,MAAM,KAAK,EAAEwV,EAAEuO,GAAG3lB,EAAE0B,CAAC,EAAE,IAAI,6FAA6F1B,oBAAoB0B,KAAK,EAAEmkB,GAAG,kBAAkB,EAAE,CAAC,EAAE,CAAC,EAAE,IAAI6N,GAAG/xB,EAAE,MAAMhC,EAAEiC,EAAE5B,EAAE,EAAE0B,EAAE,CAAC,EAAE,OAAO,IAAI8xB,GAAG7xB,EAAEhC,EAAEiC,EAAE,MAAM5B,EAAE,EAAE0B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8hC,GAAG,CAAC,WAAWxgD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC2c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,EAAE,CAAC,EAAED,EAAE,OAAOC,EAAE,GAAGL,CAAC,EAAE,EAAE,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAGL,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4e,EAAE,UAAUr7B,GAAG,EAAE2c,CAAC,EAAE,OAAO,IAAI0e,EAAE,UAAUt7B,GAAG,EAAE4c,CAAC,CAAC,CAAC,CAAC,EAAM4jC,GAAG,CAAC,WAAWngD,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACqc,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI0e,EAAE,UAAUh7B,GAAGwc,CAAC,CAAC,CAAC,CAAC,EAAM2jC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACic,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAEtJ,EAAE9E,GAAGiF,GAAGoF,GAAG6D,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAM4jC,GAAG,CAAC,WAAWhgD,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACgc,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,OAAO,EAAE,SAAS,CAAC+b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,MAAM,IAAIxG,EAAEsG,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMgkC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC8b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEhO,GAAGkO,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMikC,GAAG,CAAC,WAAW7/C,GAAG,SAAS0b,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMokC,GAAG,CAAC,WAAW7/C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyb,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7Q,GAAG8O,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAErI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE5F,GAAG+D,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG6Q,EAAEhT,GAAEkT,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMoiC,GAAG,CAAC,WAAW5/C,GAAG,aAAa,CAAC,IAAI,OAAO,WAAW,OAAO,EAAE,SAAS,CAACub,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,gBAAgBE,CAAC,EAAEF,EAAE,CAACG,EAAE,EAAE,EAAE0B,CAAC,EAAE,EAAEC,EAAED,GAAG,KAAK5H,GAAG,CAAC,EAAE4H,EAAEE,EAAE8mB,GAAG,EAAE,MAAM1oB,EAAE,KAAK,EAAEqC,EAAE,CAAC,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,QAAQgC,EAAE,EAAEA,EAAErE,EAAE,MAAM,OAAO,EAAE,EAAEqE,EAAEhC,EAAE,KAAKrC,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIC,EAAE/F,GAAGyD,EAAE,CAAC,EAAEuC,EAAE9L,EAAEkJ,EAAEgC,CAAC,EAAEa,EAAE3I,GAAGhN,EAAE,EAAEiN,GAAGiG,CAAC,CAAC,CAAC,EAAE0C,EAAEhM,EAAEA,EAAEA,EAAE+L,EAAEA,CAAC,EAAEA,CAAC,EAAE1I,GAAG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,EAAE,OAAO,EAAET,EAAE5C,EAAEA,EAAEkJ,EAAErC,GAAGjE,EAAEmJ,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,CAAC,EAAEH,CAAC,CAAC,EAAEV,CAAC,EAAE3B,EAAE,KAAK,EAAE3G,EAAE5C,EAAEA,EAAEkJ,EAAE6C,CAAC,EAAEb,CAAC,EAAE3B,EAAE,KAAK,EAAE,KAAK,IAAI,CAAC,IAAIqE,EAAE5N,EAAEA,EAAE+L,EAAE1I,GAAG,EAAE,CAAC,EAAEyI,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,EAAE,SAAS,IAAI,CAAC,IAAIA,EAAE5N,EAAEA,EAAEgM,EAAEH,CAAC,EAAEC,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,EAAE,MAAM,IAAI,CAAC,IAAIA,EAAE5N,EAAE6L,EAAEE,CAAC,EAAE8B,EAAE7N,EAAEkJ,EAAE0E,CAAC,EAAE,OAAO,EAAE,OAAO,IAAIC,EAAE9H,GAAG8H,EAAE1C,CAAC,GAAGvI,EAAEiL,EAAE,EAAE,KAAK,CAAC,EAAE,OAAO,IAAI,CAAC,IAAID,EAAE1E,EAAE,OAAO,EAAE,OAAO,IAAI0E,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM4/B,GAAG,CAAC,WAAWx/C,GAAG,aAAa,CAAC,IAAI,SAAS,EAAE,SAAS,CAACkb,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEH,EAAE,EAAEoY,GAAG,EAAElY,EAAE,KAAK,EAAE,GAAG,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAE5B,EAAE,MAAM,EAAEC,EAAE,KAAKqC,EAAEV,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEU,EAAE,OAAOE,EAAEZ,EAAE,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,CAAC,EAAEa,EAAED,EAAE,OAAOE,EAAEyhC,GAAG,EAAE,CAAC,EAAEvgC,EAAEugC,GAAG,EAAE,EAAE,EAAE,EAAE1hC,CAAC,EAAEoB,EAAEugC,GAAG,CAAC9hC,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAE0E,EAAE5N,EAAEsG,EAAEiE,CAAC,EAAEa,EAAEpL,EAAE2G,EAAE,CAAC,CAAC,CAAC,EAAEoE,EAAE+/B,GAAG,CAAC,CAAC,CAAC,EAAE1hC,EAAEkB,CAAC,CAAC,EAAEU,EAAE3G,GAAGuJ,EAAE7C,CAAC,EAAEE,EAAEvG,GAAGsG,EAAEI,EAAE1E,EAAE,MAAM,EAAE,EAAEwE,EAAEklB,GAAGrlB,CAAC,EAAE,OAAOE,EAAE5G,GAAG4G,EAAEC,CAAC,EAAED,CAAC,EAAE,QAAQ,IAAItE,CAAC,CAAC,CAAC,EAAE,SAASkkC,GAAGvkC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAASskC,GAAGxkC,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAEE,GAAG,OAAO,EAAEE,EAAE,EAAE,KAAKJ,EAAEE,GAAGE,EAAE,EAAE,OAAO,CAAC,CAAC,IAAIqkC,GAAG,CAAC,WAAWx/C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC+a,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIZ,GAAGU,CAAC,EAAE,EAAE,IAAIV,GAAGY,CAAC,CAAC,CAAC,CAAC,EAAMskC,GAAG,CAAC,WAAWt/C,GAAG,SAAS4a,IAAI,CAAC,EAAE,IAAIjR,GAAEiR,EAAE,SAAS,CAAC,EAAE,EAAM2kC,GAAG,CAAC,WAAWp/C,GAAG,SAASya,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM4kC,GAAG,CAAC,WAAWp/C,GAAG,SAASwa,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM6kC,GAAG,CAAC,WAAWp/C,GAAG,SAASua,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM8kC,GAAG,CAAC,WAAW/+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACia,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEH,EAAE,EAAE3M,GAAG6M,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIf,GAAG,EAAEW,EAAElJ,EAAEkJ,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM0kC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4Z,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE9S,EAAEgT,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8kC,GAAG,CAAC,WAAW7+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC6Z,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM+kC,GAAG,CAAC,WAAW5+C,GAAG,aAAa,CAAC,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC2Z,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,MAAM,CAAC,OAAO,IAAI,CAAC,IAAI4B,EAAE9P,GAAGoO,CAAC,EAAE,OAAOxD,GAAGoD,EAAElJ,EAAE+F,GAAGmD,EAAEK,EAAE,EAAE,EAAEyB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASojC,GAAGllC,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI0B,EAAE,CAAC,EAAE/B,EAAE,EAAE,EAAE,GAAGE,CAAC,EAAE8B,EAAE,CAAC,YAAY5B,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUh5B,GAAGmc,EAAEC,CAAC,CAAC,CAAC,IAAImjC,GAAG3tC,EAAE,CAAC,oCAAoC0tC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWz/C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACqa,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE9B,EAAE,MAAM,CAAC,EAAE,IAAIilC,GAAG/kC,EAAEC,EAAEL,EAAE,EAAE,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASqjC,GAAGrlC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,EAAE,KAAKF,EAAE,OAAO,EAAExG,EAAE,EAAEiwB,GAAG,EAAE,MAAMvpB,CAAC,CAAC,GAAGJ,EAAE,KAAKE,EAAE,OAAOF,EAAEtG,EAAEsG,EAAE2pB,GAAG3pB,EAAE,MAAMI,CAAC,CAAC,GAAG,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAE8C,GAAGqO,EAAE,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIslC,GAAG,CAAC,WAAW1+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACoZ,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,iBAAiBG,CAAC,EAAED,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG2B,EAAEuW,GAAGjY,EAAE,EAAE,KAAK,EAAE2B,EAAEqjC,GAAGrlC,EAAE,EAAE,EAAE+B,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMujC,GAAG,CAAC,WAAWr+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC8Y,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEyE,GAAG0M,EAAEE,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEyF,GAAG0L,EAAEE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAE,SAASolC,GAAGxlC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,KAAK,eAAe,EAAEgC,EAAEyd,EAAE,EAAE,QAAQ,eAAe,EAAExd,EAAEwd,EAAEvf,EAAE,SAAS,eAAe,EAAEwC,EAAEX,EAAEY,EAAEX,EAAEY,EAAEX,EAAEY,EAAE,GAAGb,EAAE,OAAO,IAAIa,EAAE,GAAGH,EAAEhJ,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAEjJ,EAAEsI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAEY,EAAElJ,EAAEuI,EAAE,CAAC,EAAEA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,GAAGwV,EAAE/U,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAE+U,EAAE9U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE8U,EAAE7U,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEsjB,GAAG,gBAAgB,EAAE,CAAC,EAAE,IAAIpjB,EAAE,CAAC,GAAGJ,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEoB,EAAE,CAAC,WAAW5D,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,EAAEue,EAAE,UAAU73B,GAAG+b,EAAEkB,CAAC,EAAE,OAAOnB,EAAEnJ,EAAE,EAAE,CAAC,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,CAAC,IAAI+rC,GAAGjuC,EAAE,CAAC,eAAeguC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW5+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACkZ,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE9B,EAAE,MAAM,CAAC,EAAE,IAAIulC,GAAGzlC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2jC,GAAG3lC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,KAAK,aAAa,EAAEgC,EAAEyd,EAAE,EAAE,QAAQ,aAAa,EAAExd,EAAEwd,EAAEvf,EAAE,SAAS,aAAa,EAAEuX,EAAEzV,EAAE,OAAOD,EAAE,KAAK,IAAI,kBAAkBC,EAAE,oCAAoCD,EAAE,OAAO,EAAE0V,EAAE1V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAEkkB,GAAG,cAAc,EAAE,CAAC,EAAE,IAAIxjB,EAAE,CAAC,GAAGX,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,WAAWvC,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,OAAOue,EAAE,UAAU53B,GAAG0b,EAAEC,CAAC,CAAC,CAAC,IAAIijC,GAAGpuC,EAAE,CAAC,aAAamuC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWh/C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACmZ,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,CAAC,EAAE7B,EAAE,MAAM,CAAC,EAAE,IAAI0lC,GAAG5lC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC6Y,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,EAAEoY,GAAGjY,EAAED,EAAE,KAAK,EAAE2B,EAAE2nB,GAAGtpB,EAAE,MAAM,CAAC,EAAE,GAAG4B,EAAE6V,GAAG9V,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIW,EAAEtC,EAAE,MAAM,MAAM,EAAE,EAAE,QAAQyC,GAAG,CAACH,EAAEG,GAAG,CAAC,CAAC,EAAE,IAAIF,EAAEjJ,EAAEsG,EAAE0C,CAAC,EAAE,OAAOxR,GAAG4F,EAAE6L,EAAErL,GAAG8I,EAAE,MAAM,SAAS,CAAC,EAAE4B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC4Y,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE2B,EAAEuW,GAAGjY,EAAE,EAAE,KAAK,EAAE2B,EAAEqjC,GAAGrlC,EAAE,EAAE,EAAE+B,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMgkC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2Y,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAE0F,GAAGyL,EAAEE,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEwE,GAAG2M,EAAEE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM6lC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0Y,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEH,EAAE,EAAEG,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI9E,GAAGyE,EAAE,EAAEI,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM8lC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyY,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEgnB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO0B,EAAE,OAAO,EAAErI,EAAEmD,GAAGmD,EAAE+B,CAAC,EAAE7B,EAAE,KAAK,EAAEF,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjL,EAAEkJ,EAAE/I,GAAGzE,GAAGtB,GAAGgP,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE4B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAMokC,GAAG,CAAC,WAAWz+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACsY,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjL,EAAEkJ,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAMqkC,GAAG,CAAC,WAAWz+C,GAAG,SAASqY,IAAI,CAAC,EAAE,IAAI/I,GAAG+I,CAAC,CAAC,EAAE,EAAMqmC,GAAG,CAAC,WAAWp+C,GAAG,aAAa,CAAC,SAAS,EAAE,SAAS,CAAC+X,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,GAAG,MAAM,CAAC,QAAQ,IAAIX,GAAGW,EAAE,MAAM,SAAS,CAAC,CAAC,CAAC,EAAMomC,GAAG,CAAC,WAAWp+C,GAAG,SAAS8X,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMumC,GAAG,CAAC,WAAWl+C,GAAG,cAAc,GAAG,SAAS,CAAC2X,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAE,OAAO7B,GAAG2B,EAAEI,CAAC,EAAE,IAAIyB,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAM2kC,GAAG,CAAC,WAAWl+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0X,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,GAAG,CAAC,SAASC,CAAC,EAAEH,EAAE,EAAEG,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI9E,GAAGyE,EAAE,EAAEI,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMqmC,GAAG,CAAC,WAAWj+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACwX,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,EAAEC,CAAC,EAAE,EAAE,EAAEH,EAAE,EAAEE,EAAE2B,EAAE8mB,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAInmB,EAAE3T,GAAE,EAAE,SAAS,EAAE4T,EAAE7L,EAAEkJ,EAAElJ,EAAE4L,EAAE1K,GAAG,EAAE4E,GAAG8F,EAAEvI,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEyI,EAAEmmB,GAAG,EAAE,MAAMhnB,CAAC,EAAE,OAAOa,EAAE,OAAO,IAAID,EAAE9F,GAAG8F,EAAEC,CAAC,GAAGlJ,EAAEiJ,EAAE,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAID,EAAEnP,GAAG,EAAE,CAAC,EAAEoP,EAAEtD,GAAGqD,EAAE1N,GAAG,CAAC,EAAEwK,GAAG,CAAC,CAAC,EAAEoD,EAAE9L,EAAEkJ,EAAElJ,EAAEuJ,EAAEsC,CAAC,CAAC,EAAEE,EAAEkmB,GAAG,EAAE,MAAMhnB,CAAC,EAAE,OAAOc,EAAE,OAAO,IAAID,EAAE/F,GAAG+F,EAAEC,CAAC,GAAGnJ,EAAEkJ,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM8jC,GAAG,CAAC,WAAWj+C,GAAG,aAAa,CAAC,IAAI,OAAO,EAAE,SAAS,CAACuX,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAE9M,GAAG2M,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIb,GAAGgB,EAAEL,EAAElJ,EAAEkJ,EAAEI,CAAC,CAAC,EAAE,MAAM,IAAI,CAAC,IAAI,EAAEf,GAAGgB,EAAEb,GAAGQ,CAAC,EAAElJ,EAAEkJ,EAAEE,CAAC,CAAC,EAAE,EAAE6oB,GAAG3oB,EAAE,MAAMJ,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,IAAI,EAAEnD,GAAG,EAAE,CAAC,GAAGnD,EAAE,EAAE0G,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,SAASumC,GAAG3mC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,MAAM,EAAEI,EAAEF,GAAG,EAAE,IAAIG,EAAE3G,EAAE,EAAE0G,CAAC,EAAE,EAAEjQ,GAAG6P,EAAEE,EAAE,GAAG,EAAE,EAAE,EAAE/P,GAAG6P,EAAEE,EAAE,GAAG,EAAE,EAAE6B,EAAEjL,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAEuJ,EAAE0B,CAAC,CAAC,CAAC,SAAS6kC,GAAG5mC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,OAAOK,EAAED,EAAEF,EAAE,OAAO,EAAElS,EAAE,mBAAmBkS,EAAEE,CAAC,EAAE,EAAEJ,EAAE,GAAG,OAAO,EAAEjC,GAAGiC,EAAE,CAAC,GAAG,IAAI+B,EAAE,EAAE,MAAM,MAAM,EAAE,EAAEA,EAAE,OAAO3B,EAAEF,EAAE,OAAOA,EAAE,MAAM,EAAE,OAAO,CAAC0C,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAEd,EAAE,KAAK,CAAC,EAAE,IAAIW,EAAE,EAAE,QAAQX,CAAC,EAAE,EAAE4kC,GAAGjkC,EAAE,EAAErC,CAAC,EAAE,GAAG,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,GAAG,KAAK,CAAC,IAAIuC,EAAE5U,EAAE,uBAAuB,CAAC,EAAE,EAAE+P,GAAG,EAAE6E,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIikC,GAAG,CAAC,WAAWn+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsX,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,EAAE,CAAC,EAAE,OAAOG,GAAG,KAAK,EAAED,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,OAAO1B,GAAG,SAAS,EAAE,CAACA,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIumC,GAAGxmC,EAAEJ,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC6W,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7Q,GAAG8O,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAErI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE5F,GAAG+D,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG6Q,EAAEhT,GAAEkT,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8kC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4W,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE/I,GAAGoF,GAAG6D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAWz9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACyW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAEtJ,EAAErC,GAAGyL,EAAE,CAAC,EAAEzD,GAAGyD,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM6mC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0W,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAE0N,GAAGyD,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMgnC,GAAG,CAAC,WAAW19C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACwW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIxG,EAAEsG,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMinC,GAAG,CAAC,WAAW19C,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAACuW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGL,EAAE,OAAOI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIwe,EAAE,UAAUl1B,GAAG2W,EAAEH,CAAC,CAAC,CAAC,CAAC,EAAMknC,GAAG,CAAC,WAAWz9C,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAACqW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGL,EAAE,OAAOI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIwe,EAAE,UAAUh1B,GAAGyW,EAAEH,CAAC,CAAC,CAAC,CAAC,EAAMmnC,GAAG,CAAC,WAAWx9C,GAAG,SAAS,CAACmW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAEG,EAAEiY,GAAGlY,EAAEJ,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAIrG,GAAGqG,EAAEK,CAAC,CAAC,CAAC,CAAC,EAAMinC,GAAG,CAAC,WAAWv9C,GAAG,SAASiW,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMunC,GAAG,CAAC,WAAWv9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIjJ,GAAG/F,GAAG8O,EAAElJ,EAAEkB,GAAGkI,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMsnC,GAAG,CAAC,WAAWp9C,GAAG,aAAa,CAAC,WAAW,EAAE,SAAS,CAAC4V,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,UAAU,IAAInR,GAAEyQ,GAAGU,CAAC,EAAE,SAAS,EAAE,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAEmR,EAAEF,EAAE,KAAK,CAAC,EAAE,EAAE,IAAIlJ,EAAEkJ,EAAEjR,GAAEuG,GAAG4K,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMynC,GAAG,CAAC,WAAWp9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC2V,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE7M,GAAG2M,EAAE/F,GAAG,CAAC,CAAC,EAAEkG,EAAElG,GAAGokC,EAAE,EAAE,EAAEpkC,GAAGmkC,EAAE,EAAE,EAAExnC,EAAEkJ,EAAE,CAAC,EAAE+B,EAAEjL,EAAEA,EAAEkJ,EAAEK,CAAC,EAAErO,GAAGjD,GAAEmR,EAAE,SAAS,CAAC,CAAC,EAAE,OAAOb,GAAGe,EAAE,EAAE2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2lC,GAAG,CAAC,WAAWn9C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACyV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAElJ,EAAEoJ,EAAEtD,GAAGzC,GAAG,CAAC,EAAE+F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMynC,GAAG,CAAC,WAAWn9C,GAAG,SAASwV,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM4nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACuV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE9G,GAAGjB,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM6nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE7G,GAAGlB,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM8nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACqV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,MAAMC,EAAE,KAAK,CAAC,EAAEH,EAAE,EAAEE,EAAE,MAAM,CAAC2B,EAAEC,CAAC,EAAE+6B,GAAG38B,EAAEC,EAAE,CAAC,EAAE4B,EAAE,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAE1C,EAAE,KAAK0C,IAAIT,EAAE,KAAK,CAACF,EAAEW,GAAG,EAAEA,GAAGX,EAAEW,GAAGV,EAAEU,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIhL,GAAGsI,EAAEiC,CAAC,CAAC,CAAC,CAAC,EAAM8lC,GAAG,CAAC,WAAWn9C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACoV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,IAAIC,CAAC,EAAEH,EAAE,EAAE,GAAG,EAAEpJ,EAAEkJ,EAAEI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIxD,GAAG,EAAE9F,EAAE+F,GAAG,EAAE,CAACwD,CAAC,EAAE,CAAC,EAAED,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM4nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACmV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAE9E,GAAGgF,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+nC,GAAG,CAAC,WAAWn9C,GAAG,SAAS,CAACkV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWE,EAAE,SAASC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI5R,GAAG0R,EAAEI,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAM6nC,GAAG,CAAC,WAAW98C,GAAG,SAAS,CAAC4U,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAE,MAAM,CAAC,EAAE,IAAI9Q,GAAG4Q,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAM+nC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC2U,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAElJ,EAAEsF,GAAGrN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkoC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0U,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAElJ,EAAE/H,GAAEmR,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMmoC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyU,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAElG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIrD,EAAEkJ,EAAElJ,EAAEuJ,EAAEzD,GAAGsD,EAAEE,CAAC,CAAC,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAElJ,EAAEuJ,EAAEzD,GAAGwD,EAAEF,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMooC,GAAG,CAAC,WAAW98C,GAAG,SAASwU,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMuoC,GAAG,CAAC,WAAW18C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACmU,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE/B,EAAEgC,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE7B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE/B,EAAEgC,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEzC,GAAG8K,CAAC,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMooC,GAAG,CAAC,WAAW18C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACkU,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAED,EAAE,MAAM,MAAM,EAAE,CAAC,KAAK,CAAC,EAAEF,EAAEoY,GAAG,EAAElY,EAAE,KAAK,EAAE,QAAQ,GAAG,CAACC,EAAE,GAAG,CAAC,CAAC,EAAE,IAAI0B,EAAErI,EAAEsG,EAAEK,CAAC,EAAE2B,EAAElL,EAAEiL,EAAEzK,GAAG8I,EAAE,MAAM,SAAS,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4B,CAAC,CAAC,CAAC,EAAMymC,GAAG,CAAC,WAAWz8C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgU,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE3D,GAAGrM,GAAGkQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMwoC,GAAG,CAAC,WAAWz8C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC+T,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE8F,GAAGzC,GAAG,CAAC,EAAEkC,GAAG6D,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM2oC,GAAG,CAAC,WAAWv8C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4T,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAEtC,GAAGY,CAAC,EAAE,GAAGA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAED,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAEF,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAEyB,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,GAAG,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,GAAG,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,GAAG,EAAE,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,GAAG,EAAEqC,EAAEZ,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAGsC,EAAEtC,EAAE,MAAM,EAAE,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,2DAA2DA,EAAE,mBAAmB,EAAE,OAAO0B,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAWr8C,GAAG,SAAS,CAACyT,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,EAAE0pB,GAAGzpB,CAAC,EAAE,MAAM,CAAC,EAAE,IAAItC,GAAGiC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM6oC,GAAG,CAAC,WAAWp8C,GAAG,SAAS,CAACuT,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,MAAM,CAAC,MAAM,IAAI5D,GAAGwD,EAAEK,CAAC,CAAC,CAAC,CAAC,EAAMyoC,GAAG,CAAC,WAAWp8C,GAAG,aAAa,CAAC,YAAY,EAAE,SAAS,CAACsT,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI6oC,GAAG/oC,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS6oC,GAAG/oC,EAAE,EAAE,CAAC,IAAIE,EAAEjK,GAAG,EAAEuJ,GAAG,CAAC,CAAC,EAAEY,EAAExN,GAAGoN,EAAEE,CAAC,EAAEG,EAAE7M,GAAG,EAAE2G,GAAG,EAAE,OAAO,CAAC,EAAE,EAAEiG,EAAE,KAAKC,EAAE,KAAK,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAEpO,GAAGoO,EAAE0B,EAAE,CAAC,EAAE1B,EAAEhL,GAAGgL,EAAE/I,GAAG8I,EAAE,MAAM,MAAM,CAAC,EAAE,IAAI,EAAEZ,GAAGY,CAAC,EAAE,OAAOf,GAAGgB,EAAED,EAAE,CAAC,CAAC,CAAC,IAAI4oC,GAAG,CAAC,WAAWn8C,GAAG,SAASmT,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMipC,GAAG,CAACvH,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGI,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGiD,GAAGhD,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGE,GAAGA,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGC,GAAGG,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGA,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,EAAE,EAAE,QAAQhpC,KAAKipC,GAAG9vC,GAAG6G,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9wB,GAAG,IAAI,CAAC,EAAE8wB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7wB,GAAG,IAAI,CAAC,EAAE6wB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5wB,GAAG,IAAI,CAAC,EAAE4wB,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9S,EAAE,KAAK8S,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5S,GAAG,KAAK4S,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3S,GAAG,KAAK2S,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1S,GAAG,KAAK0S,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzS,GAAG,KAAKyS,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpG,EAAE,KAAK,OAAO,EAAE,IAAI,qCAAqC,EAAE/d,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjR,GAAE,KAAKiR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnkB,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAK,CAACsG,EAAE,CAAC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExG,EAAE,KAAK,CAACsG,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1G,EAAE,KAAK,CAACsG,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3G,EAAE,KAAK,CAACsG,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErwB,GAAG,IAAI,CAAC,EAAEqwB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpwB,GAAG,IAAI,CAAC,EAAEowB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnwB,GAAG,IAAI,CAAC,EAAEmwB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErS,GAAG,KAAKqS,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEjwB,GAAG,IAAI,CAAC,EAAEiwB,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvS,GAAG,KAAKmS,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1R,GAAG,KAAK0R,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnS,GAAG,KAAK8R,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,YAAY,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtR,GAAG,KAAKsR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjR,GAAE,KAAKiR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7uB,GAAG,IAAI,CAAC,EAAE6uB,EAAE,EAAE,UAAU,YAAY,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/Q,GAAG,KAAK+Q,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEA,aAAa9T,KAAK8T,EAAE,CAACA,CAAC,GAAG5Q,GAAG,CAAC,KAAK,GAAG4Q,CAAC,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3Q,GAAG,KAAKsQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzQ,GAAG,KAAKoQ,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1Q,GAAG,KAAKqQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7tB,GAAG,IAAI,CAAC,EAAE6tB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5tB,GAAG,IAAI,CAAC,EAAE4tB,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/P,GAAG,KAAK6P,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9P,GAAG,KAAK4P,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvP,GAAG,KAAKuP,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3P,GAAG,KAAKsP,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvP,GAAG,KAAKkP,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7O,GAAG,KAAK6O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9O,GAAG,KAAK8O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5O,GAAG,KAAK4O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtsB,GAAG,IAAI,CAAC,EAAEssB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnO,GAAG,KAAKmO,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE/rB,GAAG,IAAI,CAAC,EAAE+rB,EAAE,EAAE,UAAU,cAAc,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjO,GAAG,KAAKiO,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7rB,GAAG,IAAI,CAAC,EAAE6rB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/N,GAAG,KAAK+N,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3rB,GAAG,IAAI,CAAC,EAAE2rB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEzrB,GAAG,IAAI,CAAC,EAAEyrB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnkB,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErrB,GAAG,IAAI,CAAC,EAAEqrB,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvN,GAAG,KAAKuN,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEpN,GAAG,KAAKoN,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExM,GAAG,KAAKwM,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzM,GAAG,KAAKyM,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpqB,GAAG,IAAI,CAAC,EAAEoqB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7pB,GAAG,IAAI,CAAC,EAAE6pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5pB,GAAG,IAAI,CAAC,EAAE4pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3pB,GAAG,IAAI,CAAC,EAAE2pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE1pB,GAAG,IAAI,CAAC,EAAE0pB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzL,GAAG,KAAKyL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvL,GAAG,KAAKuL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExL,GAAG,KAAKwL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,2BAA2B,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErL,GAAG,KAAKiL,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3oB,GAAG,IAAI,CAAC,EAAE2oB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7K,GAAG,KAAK6K,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5K,GAAG,KAAK4K,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7oB,GAAG,IAAI,CAAC,EAAE6oB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5oB,GAAG,IAAI,CAAC,EAAE4oB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3K,GAAG,KAAK2K,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEvoB,GAAG,IAAI,CAAC,EAAEuoB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzK,GAAG,KAAKyK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExK,GAAG,KAAKwK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvK,GAAG,KAAKqK,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtK,GAAG,KAAKkK,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnK,GAAG,KAAKmK,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/J,GAAG,KAAK+J,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9J,GAAG,KAAK8J,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1J,GAAG,KAAK0J,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzJ,GAAG,KAAKyJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExJ,GAAG,KAAKwJ,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvJ,GAAG,KAAKuJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAElJ,EAAE,KAAKkJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5mB,GAAG,IAAI,CAAC,EAAE4mB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/I,GAAG,KAAK6I,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5I,GAAG,KAAK4I,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7I,GAAG,KAAK2I,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtmB,GAAG,IAAI,CAAC,EAAEsmB,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtI,GAAG,KAAKsI,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtI,GAAG,KAAKiI,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEhI,GAAG,KAAKgI,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/H,GAAG,KAAK+H,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7H,GAAG,KAAK6H,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7kB,GAAG,IAAI,CAAC,EAAE6kB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtkB,GAAG,IAAI,CAAC,EAAEskB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErkB,GAAG,IAAI,CAAC,EAAEqkB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAKsG,EAAE,KAAK,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAKsG,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEy2B,GAAG,KAAK32B,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,sBAAsB,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE22B,GAAG,KAAK72B,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErG,GAAG,KAAKqG,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7jB,GAAG,IAAI,CAAC,EAAE6jB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5jB,GAAG,IAAI,CAAC,EAAE4jB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3jB,GAAG,IAAI,CAAC,EAAE2jB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtjB,GAAG,IAAI,CAAC,EAAEsjB,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7F,GAAG,KAAKwF,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3iB,GAAG,IAAI,CAAC,EAAE2iB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE1iB,GAAG,IAAI,CAAC,EAAE0iB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAExiB,GAAG,IAAI,CAAC,EAAEwiB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEviB,GAAG,IAAI,CAAC,EAAEuiB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzE,GAAG,KAAKyE,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnE,GAAG,KAAKmE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE/hB,GAAG,IAAI,CAAC,EAAE+hB,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjE,GAAG,KAAKiE,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7D,GAAG,KAAK6D,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEzhB,GAAG,IAAI,CAAC,EAAEyhB,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAExhB,GAAG,IAAI,CAAC,EAAEwhB,EAAE,EAAE,UAAU,kBAAkB,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1D,GAAG,KAAK0D,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzD,GAAG,KAAKyD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIE,EAAEF,aAAa9T,GAAG,CAAC,KAAK8T,CAAC,EAAE,CAAC,KAAK,GAAGA,CAAC,EAAE,OAAOxD,GAAG0D,EAAE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvD,GAAG,KAAKuD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErF,GAAG,KAAKsD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,EAAE8b,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEpD,GAAG,KAAKoD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnD,GAAG,KAAKmD,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9gB,GAAG,IAAI,CAAC,EAAE8gB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7gB,GAAG,IAAI,CAAC,EAAE6gB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErC,GAAG,KAAKqC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,MAAM,CAAC,EAAE8uB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,SAAS,CAAC,EAAE8uB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,OAAO,CAAC,EAAE8uB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnC,GAAG,KAAKmC,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjC,GAAG,KAAKiC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/B,GAAG,KAAK+B,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,mBAAmB,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5B,GAAG,KAAK4B,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3B,GAAG,KAAK2B,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEX,GAAGW,EAAE,KAAK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEre,GAAG,IAAI,CAAC,EAAE,IAAI0pC,GAAG,cAAc,KAAK,CAAC,YAAYtoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKsoC,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYvoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKuoC,GAAG,SAAS,CAAC,CAAC,EAAEC,EAAE,cAAc,KAAK,CAAC,YAAYxoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKwoC,EAAE,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYzoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKyoC,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAY1oC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAK0oC,GAAG,SAAS,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAY3oC,EAAE,CAAC,KAAK,WAAWA,GAAG,IAAI,KAAK,MAAM,IAAI,GAAG,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAK,MAAM,IAAIU,CAAC,IAAIV,EAAE,KAAK,MAAM,IAAIU,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,EAAE,KAAK,MAAM,IAAIA,EAAEV,CAAC,GAAGA,CAAC,CAAC,IAAIU,EAAEV,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIU,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,UAAU,KAAK,MAAM,MAAM,KAAK,WAAW,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,MAAM,IAAIA,EAAEV,CAAC,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,UAAU,CAAC,cAAcU,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,4DAA4DA,IAAI,EAAE,GAAG,KAAK,WAAWA,EAAE,QAAQV,EAAE,EAAEA,EAAE,KAAK,WAAWU,EAAEV,IAAI,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,WAAWU,CAAC,CAAC,EAAE,SAAS4oC,GAAGxpC,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAIF,EAAEA,EAAE,OAAOF,CAAC,EAAE,OAAOE,CAAC,KAAK,CAAC,IAAIA,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOA,EAAE,KAAKF,CAAC,EAAEE,CAAC,CAAC,CAAC,SAASupC,GAAGzpC,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAIspC,GAAG,CAAC,CAAC,CAAC,SAASI,GAAG1pC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQE,KAAKJ,EAAEI,IAAI,GAAGF,IAAI,OAAOA,CAAC,CAAC,SAASypC,GAAG3pC,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,CAAC,SAAS4pC,GAAG5pC,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAAS6pC,GAAG7pC,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,uBAAuB,OAAO,EAAE,QAAQ,kBAAkB,OAAO,EAAE,YAAY,EAAE,OAAOE,EAAE,KAAK,IAAIA,EAAE,UAAUA,CAAC,CAAC,SAAS4pC,GAAG9pC,EAAE,CAAC,OAAOA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,IAAI,GAAGA,EAAEA,EAAE,QAAQ,cAAc,CAAC,EAAEE,IAAIA,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI6pC,GAAG,CAAC,EAAE,SAASC,GAAGhqC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC,CAAC,SAASiqC,GAAGjqC,EAAE,CAAC,GAAG,EAAEA,GAAG,MAAM,OAAOA,GAAG,UAAU,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAGiqC,GAAG,CAAC,CAAC,MAAM,CAAC,IAAI,EAAE,OAAO,KAAKjqC,CAAC,EAAE,QAAQE,KAAK,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,GAAGE,GAAG,MAAM,OAAOA,GAAG,WAAW,CAAC,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,WAAW,OAAOA,EAAE,OAAO,SAASJ,EAAEE,GAAGE,EAAE,MAAM6pC,GAAG7pC,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS8pC,GAAGlqC,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEE,EAAE,SAASC,EAAE,GAAG,CAAC,GAAG,OAAOL,GAAG,SAAS,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAG,KAAKE,EAAE,EAAEA,EAAE,WAAW,KAAK6pC,GAAG,EAAEA,GAAG,WAAW,EAAE,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIX,EAAE,WAAWhpC,MAAMJ;AAAA,SAClykCI;AAAA,gBACOA,mGAAmG,EAAE,OAAO,CAAC,KAAK,CAAC,IAAI,EAAEJ,EAAE,GAAG,EAAE,WAAW,MAAM,EAAE,QAAQ,KAAK,MAAM,IAAIopC,EAAE,GAAGhpC,8BAA8B,KAAK,UAAU,CAAC;AAAA,mCAC1M,EAAE,IAAI,EAAE,EAAE,UAAU2B,EAAEC,EAAE,GAAG,KAAK9B,EAAE,CAAC6B,EAAEC,CAAC,EAAE9B,EAAE,GAAG,KAAK6pC,GAAG,CAAChoC,EAAEC,CAAC,EAAE+nC,GAAG,UAAU,KAAK,IAAI,CAAChoC,EAAEC,CAAC,EAAE,EAAE,IAAID,GAAG,KAAK,MAAM,IAAIqnC,EAAE,WAAWhpC,MAAM;AAAA,SAC5JA;AAAA,gBACOA,mGAAmG,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQY,KAAK,OAAO,KAAKknC,EAAE,EAAE9nC,EAAEY,GAAGknC,GAAGlnC,GAAG,QAAQA,KAAK,OAAO,KAAK3C,CAAC,EAAE+B,EAAEY,GAAG3C,EAAE2C,GAAG,IAAIH,EAAE,EAAE,OAAOA,EAAE,cAAcT,EAAE,IAAIU,EAAE,OAAO,OAAO,CAAC,EAAEonC,EAAE,EAAE,QAAQlnC,KAAK,OAAO,KAAK3C,CAAC,EAAE6pC,GAAGlnC,GAAG3C,EAAE2C,GAAGonC,GAAG,EAAE,MAAM,EAAE,IAAIrnC,EAAEZ,EAAED,EAAE,EAAE,OAAO7B,EAAEG,CAAC,EAAE,OAAO0pC,GAAG,OAAO,OAAO,CAAC,EAAEpnC,CAAC,EAAEC,CAAC,KAAK,CAAC,IAAIX,EAAE,OAAO,OAAO,CAAC,EAAE8nC,EAAE,EAAE,QAAQpnC,KAAK,OAAO,KAAKzC,CAAC,EAAE6pC,GAAGpnC,GAAGzC,EAAEyC,GAAG,IAAID,EAAE,IAAIX,EAAE,EAAE,MAAM,EAAE,OAAOgoC,GAAG,OAAO,OAAO,CAAC,EAAE9nC,CAAC,EAAES,CAAC,CAAC,CAAC,CAAC,SAASynC,GAAGnqC,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,SAASoqC,GAAGpqC,EAAE,EAAE,CAAC,MAAM,GAAGmqC,GAAGnqC,EAAE,CAAC,CAAC,CAAC,SAASqqC,GAAGrqC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,QAAQE,CAAC,IAAI,IAAI,EAAE,KAAKA,CAAC,EAAE,OAAO,CAAC,CAAC,SAASoqC,GAAGtqC,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAIopC,EAAE,yBAAyB,KAAK,UAAUppC,CAAC,GAAG,EAAE,QAAQ,KAAKA,EAAE,GAAGA,EAAE,eAAe,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASuqC,GAAGvqC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMF,EAAE,QAAQE,CAAC,EAAE,EAAE,MAAM,IAAIkpC,EAAE,GAAGlpC,oBAAoB,wBAAwBF,sBAAsB,CAAC,CAAC,SAASwqC,GAAGxqC,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAE,EAAE,CAAC,OAAOqpC,GAAGvpC,GAAG,CAAC,EAAEupC,GAAGrpC,GAAGF,CAAC,EAAE,MAAM,QAAQF,CAAC,GAAGA,EAAE,QAAQE,GAAGF,EAAE,QAAQI,GAAGJ,EAAE,MAAMK,GAAG,OAAOA,IAAI,CAAC,CAAC,CAAC,SAASoqC,GAAGzqC,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,GAAGxB,EAAE,OAAOwB,EAAE,OAAO,EAAE,IAAI,GAAG,mCAAmC,EAAEA,EAAE,QAAQ,CAACE,EAAEE,IAAIqqC,GAAGvqC,EAAE,WAAWE,EAAE,QAAQ,GAAG,CAAC,GAAG5B,EAAE,OAAO,OAAO,UAAUwB,CAAC,GAAGA,EAAE,EAAE,IAAI,YAAY,uCAAuC0qC,GAAG1qC,CAAC,IAAI,CAAC,CAAC,SAAS0qC,GAAG1qC,EAAE,CAAC,OAAOA,IAAI,KAAK,OAAO,MAAM,QAAQA,CAAC,EAAE,IAAIA,EAAE,IAAI,GAAG0qC,GAAG,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,IAAI,OAAO1qC,GAAG,SAAS,IAAIA,KAAK,GAAGA,GAAG,CAAC,SAAS2qC,GAAG3qC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,GAAG,KAAKA,EAAE,EAAE1B,EAAE,IAAI,EAAE6B,EAAE,MAAM,IAAIyB,IAAI,CAAC,IAAIC,EAAE7B,GAAG,KAAKA,EAAE,EAAE1B,EAAE,IAAI,EAAE,OAAOuD,EAAE3B,EAAE,IAAIA,EAAE2B,EAAE1B,EAAEL,EAAE,GAAG8B,CAAC,GAAGzB,CAAC,CAAC,CAAC,SAASuqC,GAAG5qC,EAAE,CAAC,OAAOA,IAAI,OAAO,OAAOA,IAAI,SAAS,SAASA,IAAI,MAAM,MAAM,IAAI,CAAC,IAAI6qC,GAAG,EAAE,SAASC,IAAI,CAAC,OAAOD,IAAI,CAAC,IAAIE,GAAG,CAAC,EAAE,SAASC,GAAGhrC,EAAE,GAAG,CAAC,OAAOA,KAAK+qC,KAAKA,GAAG/qC,GAAG,GAAG+qC,GAAG/qC,IAAI,EAAEA,EAAE+qC,GAAG/qC,GAAG,SAAS,CAAC,CAAC,IAAIirC,GAAG,CAAC,gBAAgB,cAAc,EAAEC,GAAG,CAAC,UAAU,UAAU,EAAEC,GAAG,CAAC,QAAQ,OAAO,QAAQ,EAAEC,GAAG,CAAC,MAAM,KAAK,EAAEC,GAAG,CAAC,MAAM,MAAM,SAAS,KAAK,EAAMC,GAAG,IAAI,IAAI,SAASC,GAAGvrC,EAAE,CAACuqC,GAAGU,GAAG,aAAajrC,CAAC,CAAC,CAAC,SAASwrC,GAAGxrC,EAAE,CAACuqC,GAAGW,GAAG,sBAAsBlrC,CAAC,CAAC,CAAC,SAASyrC,GAAGzrC,EAAE,CAACuqC,GAAGY,GAAG,cAAcnrC,CAAC,CAAC,CAAC,SAAS0rC,GAAG1rC,EAAE,CAACuqC,GAAGa,GAAG,WAAWprC,CAAC,CAAC,CAAC,IAAI2rC,GAAG,CAAC,EAAEC,GAAG,IAAI,SAASC,GAAG7rC,EAAE,EAAE,CAAC2rC,GAAG,KAAK3rC,CAAC,EAAE,GAAG,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOyrC,GAAG,IAAI,EAAEzrC,CAAC,OAAOA,EAAN,CAAS,MAAMyrC,GAAG,IAAI,EAAEzrC,CAAC,CAAC,CAAC,SAAS4rC,IAAI,CAAC,OAAOH,GAAG,SAAS,EAAE,GAAGA,GAAG,KAAKC,EAAE,EAAEA,EAAE,CAAC,SAASG,GAAG/rC,EAAE,CAAC,GAAG,CAACgsC,GAAGhsC,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAE,OAAO8rC,GAAG,EAAE9rC,CAAC,CAAC,SAASisC,GAAGjsC,EAAE,CAAC,GAAG,CAACgsC,GAAGhsC,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAEsrC,GAAG,IAAItrC,CAAC,GAAGsrC,GAAG,IAAItrC,EAAE,CAAC,EAAE,IAAI,EAAEsrC,GAAG,IAAItrC,CAAC,EAAE,GAAGsrC,GAAG,IAAItrC,EAAEsrC,GAAG,IAAItrC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGF,KAAK,IAAI,OAAOsrC,GAAG,IAAIprC,EAAE,CAAC,EAAEA,CAAC,KAAM,QAAOF,CAAC,CAAC,IAAIksC,GAAG,IAAI,OAAO,iCAAiC,EAAE,SAASF,GAAGhsC,EAAE,CAAC,MAAM,CAAC,CAACA,EAAE,MAAMksC,EAAE,CAAC,CAAC,SAASC,GAAGnsC,EAAE,CAAC,OAAOA,IAAI,SAASA,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,SAASosC,GAAGpsC,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAO,EAAE,GAAGA,GAAG,OAAOA,EAAEF,EAAE,QAAQ,IAAII,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAED,GAAGJ,EAAEK,GAAG,OAAOD,CAAC,CAAC,SAASisC,GAAGrsC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,GAAGE,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAASksC,GAAGtsC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,GAAGE,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAASmsC,GAAGvsC,EAAE,EAAE,CAAC,GAAG,EAAEA,EAAE,MAAM,IAAIopC,EAAE,QAAQ,eAAeppC,kBAAkB,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,IAAIssC,GAAG,SAASC,IAAI,CAAC,OAAOD,IAAI,OAAOA,GAAGz+C,GAAG,EAAE,QAAQ,GAAGy+C,EAAE,CAAC,SAASE,IAAI,CAAC,MAAM,cAAc,CAAC,SAASC,GAAG3sC,EAAE,EAAE,CAAC,OAAOjR,GAAEiR,EAAE,CAAC,CAAC,CAAC,SAAS4sC,GAAG5sC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAE,OAAO,EAAE,IAAI,EAAEE,EAAE,OAAO,EAAE,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAExG,EAAEsG,EAAEE,CAAC,CAAC,CAAC,SAAS2sC,GAAG7sC,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,GAAGsC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,yDAAyDppC,EAAE,MAAM,gBAAgB,EAAE,IAAIE,EAAE0sC,GAAG5sC,EAAE,CAAC,EAAE,OAAO8sC,GAAG5sC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS6sC,GAAG/sC,EAAE,CAAC,IAAI,EAAE,CAACosC,GAAGpsC,EAAE,KAAK,CAAC,EAAE,OAAOtG,EAAEsG,EAAE,CAAC,CAAC,CAAC,SAASgtC,GAAGhtC,EAAE,CAAC,GAAGA,EAAE,MAAM,EAAE,MAAM,IAAIopC,EAAE,wDAAwDppC,EAAE,OAAO,EAAE,IAAI,EAAE,CAACA,EAAE,MAAM,GAAGosC,GAAGpsC,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOtG,EAAEsG,EAAE,CAAC,CAAC,CAAC,SAASitC,GAAGjtC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGuE,EAAE,CAAC,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOtE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOrE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGyE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGyE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAIopC,EAAE,8DAA8DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASktC,GAAGltC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGuE,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOxE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOvE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,CAAC,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,6DAA6DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASmtC,GAAGntC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO1C,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOE,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOgtC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOxE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOktC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOvE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOrE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOktC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,QAAQ,MAAM,IAAIgpC,EAAE,6DAA6DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASotC,GAAGptC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE,OAAO,EAAE,IAAIA,EAAEF,EAAE,GAAG,KAAKE,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,IAAIF,EAAE,GAAG,OAAO,EAAE,IAAI5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,SAASqtC,GAAGrtC,EAAE,EAAE,CAAC,OAAOA,EAAE,KAAK,CAAC,IAAK,GAAE,OAAO3Q,GAAG,CAAC2Q,EAAE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAO1Q,GAAG,CAAC0Q,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOzQ,GAAG,CAACyQ,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOxQ,GAAG,CAACwQ,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAIopC,EAAE,+DAA+DppC,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS8sC,GAAG9sC,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGA,EAAE,OAAO,EAAE,OAAO,MAAM,IAAIopC,EAAE,0BAA0B,EAAE,+DAA+DppC,EAAE,OAAO,EAAE,OAAOrC,GAAGqC,EAAE,CAAC,CAAC,CAAC,SAASstC,GAAGttC,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,OAAO3H,GAAGsH,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,SAASktC,GAAGvtC,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,IAAIqpC,GAAG,8DAA8DrpC,EAAE,uBAAuB,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,EAAE,CAAC,IAAIK,EAAEL,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,GAAGK,IAAI,EAAE,MAAM,IAAIgpC,GAAG,gGAAgGrpC,EAAE,wBAAwB,EAAE,OAAO,CAAC,CAAC,GAAGA,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,OAAOrN,GAAG,OAAO,CAAC,EAAEqN,EAAE,EAAE,EAAE,WAAW,GAAG,WAAW,GAAG,KAAKI,EAAEotC,GAAGxtC,EAAE,KAAKI,EAAEssC,GAAG,CAAC,EAAE,KAAK,WAAWxsC,CAAC,CAAC,EAAE,CAAC,IAAIG,EAAEL,EAAE,MAAM,MAAM,EAAE,EAAEK,EAAE,IAAI,EAAEL,EAAEtG,EAAEsG,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,MAAM,MAAM,EAAE+B,EAAE,EAAE,IAAI,EAAEC,EAAE,EAAE,IAAI,EAAEC,EAAE,CAAC,GAAG,EAAEF,CAAC,EAAEW,EAAE,MAAM,KAAK,CAAC,OAAO,EAAE,IAAI,EAAE,CAACI,EAAEkB,IAAIA,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,EAAE,KAAK,EAAEA,EAAE,EAAEA,CAAC,EAAE,EAAEtK,EAAEqE,GAAG,EAAE2E,CAAC,EAAE,CAACV,EAAE,EAAE,CAAC,EAAE,IAAIW,EAAE,CAAC,GAAGtC,EAAE,GAAG4B,CAAC,EAAEW,EAAE,GAAGC,EAAE,GAAG,OAAOnJ,EAAE/G,GAAG,OAAO,CAAC,EAAEqN,EAAE,EAAE,EAAE,WAAW4C,EAAE,WAAWC,EAAE,KAAKzC,EAAEotC,GAAGxtC,EAAE,KAAKI,EAAEssC,GAAG,CAAC,EAAE,KAAK,WAAWxsC,CAAC,CAAC,EAAEyC,CAAC,CAAC,CAAC,CAAC,SAAS8qC,GAAGztC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAE,EAAER,GAAG,EAAE,OAAO,EAAE,EAAEnO,GAAE,EAAE,OAAO,EAAE6D,GAAGoN,EAAE,EAAEE,CAAC,EAAE,CAAC,CAAC,SAASwtC,GAAG1tC,EAAE,CAAC,OAAOlJ,EAAEkJ,EAAEA,CAAC,CAAC,CAAC,SAASwtC,GAAGxtC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,MAAM,GAAG,EAAE,OAAO,GAAG,EAAE,OAAOJ,EAAE,MAAM,IAAIopC,EAAE,+BAA+B,EAAE,gCAAgCppC,GAAG,EAAE,GAAGA,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE0G,EAAE,EAAE,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE0G,EAAE,EAAE,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAG,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE0G,EAAE,EAAE,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,sCAAsC,EAAE,MAAM,CAAC,CAAC,SAASuE,GAAG3tC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,KAAKwC,GAAG,OAAOA,EAAEwsC,GAAG,GAAGnB,GAAGrrC,CAAC,EAAEhT,EAAE8S,EAAEwtC,GAAGxtC,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,CAAC,CAAC,SAAS0tC,GAAG5tC,EAAE,EAAE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,IAAIqpC,GAAG,0CAA0C,4BAA4B,EAAE,OAAO93C,GAAGyO,CAAC,CAAC,CAAC,SAAS6tC,GAAG7tC,EAAE,CAAC,OAAOtC,EAAE,IAAIxM,GAAG8O,EAAE9S,EAAEH,GAAGiT,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8tC,GAAG9tC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO1C,EAAE,IAAIrM,GAAG2O,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAAS2tC,GAAG/tC,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAI,EAAExQ,EAAE,GAAG4J,EAAE,GAAGkJ,CAAC,CAAC,EAAE,OAAO/Q,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS++C,GAAGhuC,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOA,EAAEF,EAAE,EAAE,EAAE,CAAC,CAAC,IAAIiuC,GAAG,CAAC,QAAQ,SAAS,QAAQ,EAAEC,GAAG,CAAC,SAAS,UAAU,iBAAiB,EAAE,SAASC,GAAGnuC,EAAE,CAACuqC,GAAG0D,GAAG,UAAUjuC,CAAC,CAAC,CAAC,SAASouC,GAAGpuC,EAAE,CAACuqC,GAAG2D,GAAG,eAAeluC,CAAC,CAAC,CAAC,IAAIquC,GAAG,cAAc3zC,GAAE,YAAY,CAAC,6BAA6B,CAAC,MAAM,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE4zC,GAAG,cAAcD,EAAE,CAAC,MAAMztC,EAAEV,EAAE,CAAC,OAAOX,GAAGqB,EAAEV,CAAC,CAAC,CAAC,EAAEouC,GAAG,UAAU,QAAQ5zC,GAAE,cAAc4zC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMztC,EAAEV,EAAE,CAAC,OAAO5I,GAAGsJ,EAAEV,CAAC,CAAC,CAAC,EAAEquC,GAAG,UAAU,OAAO7zC,GAAE,cAAc6zC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAE,OAAOA,GAAG,SAAS,MAAM,IAAIwoC,EAAE,oDAAoDxoC,GAAG,EAAE,GAAGA,EAAE,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,sCAAsCxoC,GAAG,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI5G,EAAEqD,GAAG,KAAK,KAAK,EAAE7C,GAAGsJ,EAAEV,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEsuC,GAAG,UAAU,WAAW9zC,GAAE,cAAc8zC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,KAAK,eAAe,IAAI,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOtH,GAAGgI,EAAE,KAAK,OAAO,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEuuC,GAAG,UAAU,gBAAgB/zC,GAAE,cAAc+zC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,uCAAuCnpC,IAAI,EAAE,OAAOotC,GAAG1sC,EAAE,KAAK,KAAK,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwuC,GAAG,UAAU,eAAeh0C,GAAE,cAAcg0C,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,0CAA0CnpC,IAAI,EAAE,OAAOlC,GAAG4C,EAAE,KAAK,KAAK,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEyuC,GAAG,UAAU,kBAAkBj0C,GAAE,cAAci0C,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,CAAC,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,SAAS,GAAGA,EAAE,KAAKA,EAAE,GAAG,MAAM,IAAIwoC,EAAE,sEAAsE,EAAE,OAAOtyC,EAAE,KAAK,KAAK3E,GAAGyO,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEguC,GAAG,UAAU,WAAWl0C,GAAE,cAAck0C,EAAE,EAAE,SAASC,GAAG7uC,EAAE,EAAE,eAAe,CAAC,IAAIE,EAAEE,EAAE,GAAGmrC,GAAG,CAAC,EAAEvrC,EAAE,SAAS,EAAEE,EAAEF,EAAE,GAAGI,EAAEJ,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,MAAM,IAAI,IAAI,GAAG,IAAI,gBAAgB,CAAC,IAAIK,EAAE+rC,GAAGpsC,EAAE,CAAC,EAAEE,EAAEF,EAAE,GAAGK,EAAED,EAAEJ,EAAE,GAAGK,CAAC,SAAS,IAAI,eAAe,CAAC,IAAIA,EAAE+rC,GAAGpsC,EAAE,EAAEA,EAAE,OAAO,CAAC,EAAEE,EAAEF,EAAEA,EAAE,OAAO,GAAGK,EAAED,EAAEJ,EAAEA,EAAE,OAAO,GAAGK,CAAC,MAAM,CAAC,IAAIA,EAAE+rC,GAAGpsC,CAAC,EAAEE,EAAE,KAAK,KAAKG,CAAC,EAAED,EAAE,KAAK,KAAKC,CAAC,CAAC,CAAC,MAAM,CAACH,EAAEE,CAAC,CAAC,CAAC,IAAI0uC,GAAG,cAAcT,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,IAAIwoC,EAAE,wCAAwCxoC,EAAE,OAAO,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAKA,EAAE,MAAM,KAAK,QAAQA,EAAE,KAAKutC,GAAG,KAAK,IAAI,EAAE,KAAK,aAAavtC,EAAE,cAAc,KAAK,SAASA,EAAE,aAAawtC,GAAG,KAAK,YAAY,EAAE,KAAK,KAAKxtC,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,IAAI,EAAE2uC,GAAGjuC,CAAC,EAAEP,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGC,EAAE,KAAK,MAAM,GAAG,KAAK,OAAO,QAAQA,GAAG,KAAK,IAAI,EAAEzB,CAAC,EAAE,KAAK,OAAO,SAASyB,GAAG,KAAK,IAAI,EAAED,CAAC,EAAEC,GAAG,KAAK,IAAI,GAAGzB,EAAEwB,GAAG,CAAC,EAAE,KAAK,eAAe,SAAS,CAAC,IAAIE,EAAE,KAAK,KAAKD,CAAC,EAAE,GAAG5B,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,GAAG,KAAK,aAAa,4BAA4BnpC,IAAI,EAAE,OAAOlC,GAAG4C,EAAE,EAAEmB,EAAE7B,EAAE,KAAK,IAAI,CAAC,KAAK,CAAC,IAAI6B,EAAE,KAAK,KAAK,EAAED,CAAC,EAAE,OAAOlJ,GAAGgI,EAAE,CAACmB,EAAEA,EAAE7B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,aAAa,KAAK,aAAa,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE4uC,GAAG,UAAU,kBAAkBp0C,GAAE,cAAco0C,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEC,GAAG,UAAU,gBAAgBr0C,GAAE,cAAcq0C,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEE,GAAG,UAAU,eAAet0C,GAAE,cAAcs0C,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEG,GAAG,UAAU,WAAWv0C,GAAE,cAAcu0C,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEI,GAAG,UAAU,YAAYx0C,GAAE,cAAcw0C,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEK,GAAG,UAAU,cAAcz0C,GAAE,cAAcy0C,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEM,GAAG,UAAU,eAAe10C,GAAE,cAAc00C,EAAE,EAAE,IAAIC,GAAG,cAAchB,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,MAAM,IAAIyoC,GAAG,gEAAgE,CAAC,CAAC,MAAMzoC,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,OAAO,EAAE,MAAM,IAAIyoC,GAAG,4BAA4B,EAAEzoC,EAAE,GAAGA,EAAE,GAAG,KAAK,QAAQ,KAAK,2EAA2EA,EAAE,GAAGA,EAAE,oCAAoC,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAE,GAAG,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAEP,EAAEitC,GAAG,EAAE,EAAE,EAAE,SAAS,EAAEzrC,EAAEnN,GAAG,YAAY2L,CAAC,EAAE,OAAOO,EAAE,GAAGA,EAAE,KAAKiB,EAAE9D,GAAG8D,CAAC,GAAG/K,EAAE,KAAK,KAAK+K,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwtC,GAAG,UAAU,aAAa30C,GAAE,cAAc20C,EAAE,EAAE,IAAIC,GAAG,CAAC,SAAS,WAAW,aAAa,eAAe,cAAc,gBAAgB,SAAS,WAAW,UAAU,YAAY,SAAS,WAAW,YAAY,cAAc,aAAa,eAAe,KAAK,OAAO,WAAW,aAAa,aAAa,eAAe,cAAc,gBAAgB,gBAAgB,kBAAkB,gBAAgB,kBAAkB,MAAM,OAAO,EAAE,SAASC,GAAGvvC,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS80C,GAAGxvC,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASyvC,GAAGzvC,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAI,EAAEA,KAAKsvC,GAAGA,GAAGtvC,GAAGA,EAAE,GAAG,IAAI,eAAe,OAAO,IAAIgvC,GAAG,GAAG,IAAI,gBAAgB,OAAO,IAAID,GAAG,GAAG,IAAI,WAAW,OAAO,IAAIE,GAAG,GAAG,IAAI,YAAY,OAAO,IAAIC,GAAG,GAAG,IAAI,cAAc,OAAO,IAAIC,GAAG,GAAG,IAAI,eAAe,OAAO,IAAIC,GAAG,CAAC,IAAIlvC,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,EAAEqvC,GAAGrvC,CAAC,CAAC,CAAC,KAAM,QAAOF,aAAaquC,GAAGruC,EAAEuvC,GAAGvvC,CAAC,CAAC,CAAC,SAAS0vC,GAAG1vC,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,CAAC,CAAC,SAAS2vC,GAAG3vC,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,CAAC,EAAE,MAAM,QAAQA,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAAS4vC,GAAG5vC,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIopC,EAAE,uCAAuCppC,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,SAAS6vC,GAAG7vC,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAEA,EAAEA,EAAE,GAAG,MAAM,IAAIopC,EAAE,iCAAiCppC,EAAE,QAAQ,CAAC,KAAM,QAAOA,CAAC,CAAC,SAAS8vC,GAAG9vC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,KAAKF,EAAEE,EAAE,MAAM,SAAS,EAAE,GAAG,EAAE,GAAGA,EAAE,MAAM,OAAO,CAACE,EAAEC,IAAID,EAAEC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAI0vC,GAAG,WAAWlqD,GAAG,KAAK,CAAC,YAAY+a,EAAEV,EAAE,UAAU,EAAE6vC,GAAG1vC,EAAE,GAAGwB,EAAE,KAAK,CAAC,KAAK,MAAM3B,GAAG,KAAK,UAAUA,EAAE,KAAK,MAAMU,EAAE,MAAM,KAAK,GAAGkqC,GAAG,EAAE,EAAE,GAAG,KAAKiF,GAAG,EAAE,KAAK,aAAahE,GAAG,CAAC,EAAE,KAAK,KAAKE,GAAG,KAAK,YAAY,EAAE,KAAK,WAAW5rC,EAAE,KAAK,WAAWwB,EAAE,KAAK,IAAIlD,GAAGiC,EAAE,KAAK,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,kBAAkB,EAAE,KAAK,GAAG,CAAC,MAAMA,EAAE,CAAC,OAAO,KAAK,kBAAkB,EAAEovC,GAAG,KAAK,IAAIpvC,CAAC,EAAE,KAAK,IAAI,KAAKA,EAAE,KAAK,KAAK,IAAI,OAAOA,CAAC,EAAE,KAAK,YAAY,MAAM,KAAK,IAAI,OAAO,KAAK,WAAW,MAAM,KAAK,GAAG,CAAC,GAAG,IAAI,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,KAAK,IAAI,QAAQ,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,IAAI,WAAW,MAAM,IAAI,MAAM,kBAAkB,KAAK,2BAA2B,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,IAAI,UAAUA,CAAC,CAAC,EAAE,SAASovC,GAAGhwC,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,SAAS,IAAI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,mBAAmB,KAAK,UAAUA,EAAE,KAAK,EAAE,QAAQ,KAAK,UAAU,EAAE,KAAK,CAAC,CAAC,CAAC,SAASiwC,GAAGjwC,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,CAAC,SAASkwC,GAAGlwC,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC,EAAE,GAAG,MAAM,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI1a,GAAG,KAAK,CAAC,YAAYsb,EAAE,CAAC,KAAK,MAAMA,EAAE,MAAM,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQA,EAAE,QAAQ,KAAK,QAAQA,EAAE,QAAQ,KAAK,KAAKA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE7U,GAAG,KAAK,CAAC,YAAY6U,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,MAAMnB,EAAE,KAAK,MAAMV,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOG,EAAE,KAAK,SAASwB,EAAE,KAAK,kBAAkBE,EAAE,KAAK,GAAG+oC,GAAG,EAAEhpC,GAAG,OAAO,KAAK,aAAaiqC,GAAGjqC,CAAC,EAAE,KAAK,KAAKmqC,GAAG,KAAK,YAAY,GAAG,KAAK,KAAK/rC,EAAE,MAAM,CAAC,EAAEiwC,GAAG,EAAEC,GAAG,KAAK,CAAC,YAAYxvC,EAAEV,EAAE,CAAC,KAAK,SAASA,EAAE,KAAK,GAAGiwC,KAAK,KAAK,cAAcvvC,EAAE,cAAc,KAAK,cAAcA,EAAE,cAAc,KAAK,YAAYA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,aAAaA,EAAE,aAAa,KAAK,cAAcA,EAAE,cAAc,KAAK,WAAWA,EAAE,WAAW,KAAK,YAAYA,EAAE,YAAY,KAAK,YAAYA,EAAE,YAAY,KAAK,aAAaA,EAAE,aAAa,QAAQ,KAAKA,EAAE,cAAc,GAAG,MAAM,EAAE,cAAc,KAAK,IAAI,EAAEA,EAAE,cAAc,aAAa,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,cAAcA,GAAG,KAAKU,EAAE,KAAKV,EAAE,IAAI,EAAEU,EAAE,KAAK,IAAI,EAAE,MAAM,CAAC,cAAc,KAAK,cAAc,KAAK,cAAc,KAAK,KAAK,cAAcA,EAAE,YAAY,KAAK,YAAY,cAAc,KAAK,aAAa,CAAC,CAAC,EAAEyvC,GAAG,EAAEC,GAAG,cAAc51C,GAAE,YAAY,CAAC,YAAYkG,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,KAAK,kBAAkB,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,GAAGyvC,KAAK,KAAK,oBAAoB,KAAK,KAAK,UAAU,KAAK,KAAK,gBAAgB,GAAG,KAAK,kBAAkB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,OAAO,GAAG,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,EAAE,IAAInwC,EAAEU,EAAE,KAAK,GAAG,CAACV,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa,EAAEA,EAAE2pC,GAAG,CAAC,EAAE,IAAImB,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,KAAK9qC,EAAE,KAAK,WAAWU,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAUA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,GAAGA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,wBAAwBA,EAAE,YAAY,KAAK,CAAC,IAAIiB,EAAE,KAAKjB,EAAE,WAAW,OAAOiB,EAAEjB,EAAE,WAAW,EAAE,CAACiB,CAAC,EAAE,OAAOjB,EAAE,UAAU,CAAC,CAAC,KAAK,gBAAgB,EAAE,IAAIP,EAAEO,EAAE,MAAMP,GAAG,OAAOA,EAAEO,EAAE,YAAYP,GAAG,OAAOA,EAAE,WAAW,KAAK,MAAMA,CAAC,CAACO,EAAE,SAAS,KAAK,KAAK,eAAeA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAK,UAAU,KAAK,KAAK,0BAA0B,EAAE,CAAC,OAAO,QAAQA,EAAEV,EAAE,CAAC,OAAOU,EAAE,KAAK,OAAOV,EAAE,SAAS,CAAC,CAAC,eAAeU,EAAEV,EAAE,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIipC,GAAG,2DAA2DjpC,IAAI,EAAE,GAAG,KAAK,aAAa,QAAQU,EAAE,MAAM,IAAIwoC,EAAE,gBAAgBlpC,aAAaU,6BAA6B,KAAK,aAAa,uBAAuB,EAAE,OAAO,KAAK,aAAaA,EAAE,CAAC,WAAWA,EAAE,CAAC,OAAO+oC,GAAG,KAAK,eAAe/oC,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,YAAYA,EAAE,CAAC,OAAO+oC,GAAG,KAAK,eAAe/oC,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,OAAO,CAAC,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIsoC,GAAG,SAAS,KAAK,2HAA2H,EAAE,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,4CAA4C,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIT,GAAG,SAAS,KAAK,4BAA4B,EAAE,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,6HAA6H,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,iBAAiB,CAAC,OAAO,KAAK,OAAO,IAAI/oC,GAAGA,EAAE,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,OAAO,CAAC,OAAO,KAAK,MAAM,CAAC,IAAI,MAAMA,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,kBAAkB,QAAQV,GAAGA,EAAE,UAAUU,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,WAAW,KAAK,kBAAkB,OAAOA,GAAGA,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,IAAI,iBAAiBA,EAAE,CAAC,KAAK,kBAAkBA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,kBAAkB,OAAOA,GAAG,CAACA,EAAE,SAAS,EAAE,OAAO,KAAK,oBAAoB,EAAE,KAAK,kBAAkB,OAAO,KAAK,oBAAoB,CAAC,CAAC,IAAI,oBAAoBA,EAAE,CAAC,KAAK,qBAAqBA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,SAAS,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAI,MAAM,sEAAsE,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAGA,EAAEgpC,GAAGhpC,CAAC,EAAE,KAAK,WAAW,MAAM,KAAK,UAAU,SAAS,EAAE,OAAO,IAAIV,EAAE0pC,GAAG,KAAK,SAAS,EAAE,GAAGhpC,EAAE,SAASV,EAAE,OAAO,MAAM,IAAIkpC,EAAE,SAAS,KAAK,gBAAgBlpC,EAAE,kCAAkCU,EAAE,yCAAyCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAE3B,EAAE,GAAG,GAAG2B,GAAG,KAAK,SAAS,IAAIC,EAAEzB,EAAE,KAAK,GAAGwB,EAAE,MAAM,MAAMC,IAAID,EAAE,KAAK,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,uBAAuBvnC,EAAE,oBAAoBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,2BAA2BvnC,EAAE,uBAAuBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,2BAA2BvnC,EAAE,uBAAuBC,IAAI,EAAE,GAAGD,EAAE,OAAO,MAAMxB,EAAE,QAAQwB,EAAE,MAAM,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,yBAAyBvnC,EAAE,sBAAsBxB,EAAE,QAAQ,EAAE,GAAGwB,EAAE,KAAK,CAAC,IAAIE,EAAE1B,EAAE,MAAM,QAAQ2B,KAAKH,EAAE,KAAK,CAAC,IAAI,EAAE,OAAOG,CAAC,EAAEU,EAAEb,EAAE,KAAKG,GAAG,EAAE,GAAG,EAAED,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAG,GAAGW,GAAG,MAAM,CAACA,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,GAAG,MAAM,IAAI0mC,EAAE,SAAS,gCAAgC,KAAK,uBAAuB,kCAAkC1mC,mBAAmBX,IAAI,CAAC,CAAC,CAAC,GAAGF,EAAE,OAAO,KAAK,QAAQE,EAAE,EAAEA,EAAEF,EAAE,MAAM,OAAO,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,MAAME,GAAG,EAAE1B,EAAE,MAAM0B,GAAG,GAAGC,GAAG,MAAM,GAAG,MAAMA,IAAI,EAAE,MAAM,IAAIonC,EAAE,SAAS,gCAAgC,KAAK,wBAAwBvnC,EAAE,sBAAsBxB,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOU,CAAC,CAAC,eAAeA,EAAEV,EAAE,CAAC,KAAK,WAAW,MAAM,KAAK,UAAUU,EAAEV,CAAC,CAAC,CAAC,YAAYU,EAAE,CAAC,KAAK,UAAUA,CAAC,CAAC,eAAe,CAAC,KAAK,UAAU,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,KAAK,kBAAkB,EAAE,IAAI,EAAE0pC,GAAGhpC,CAAC,EAAEP,EAAE,GAAG,QAAQyB,KAAK,EAAE,GAAG,EAAEA,aAAa/V,IAAI,CAACsU,EAAE,GAAG,KAAK,CAAC,IAAIwB,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGA,aAAa/V,GAAG,CAAC8V,EAAE,GAAG,KAAK,CAAC,GAAGxB,IAAIwB,EAAE,MAAM,IAAIunC,EAAE,iEAAiE,EAAE,OAAOyC,GAAG,KAAK,KAAK,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,CAAC,KAAK,yBAAyBjrC,CAAC,EAAE,IAAIkB,EAAE,CAAC,EAAE,QAAQC,KAAK6nC,GAAGhpC,CAAC,EAAEkB,EAAE,KAAKC,EAAE,KAAK,EAAE,KAAK,MAAM4nC,GAAG7nC,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,cAAc,EAAE,KAAK,YAAY,MAAMD,IAAI,KAAK,UAAU,EAAE,CAAC,GAAG,KAAK,yBAAyBjB,CAAC,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAKlB,EAAEV,CAAC,EAAE6B,EAAE6nC,GAAG9nC,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQ,KAAKD,EAAE,EAAE,QAAQ,CAAC,IAAI,KAAK,EAAE,EAAE,MAAM,GAAGC,EAAE,KAAK,CAAC,EAAE,GAAGF,EAAE6nC,GAAG3nC,CAAC,EAAE,KAAK,qBAAqB,KAAK,MAAM,IAAIqnC,GAAG,mFAAmF,EAAE,OAAOvnC,CAAC,KAAK,CAAC,IAAIA,EAAEyuC,GAAG3vC,CAAC,EAAEmB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,EAAEwuC,GAAG5vC,CAAC,EAAE,GAAG,KAAK,6BAA6B,MAAM,QAAQA,CAAC,EAAEkB,EAAE,GAAGA,CAAC,EAAEC,GAAG,MAAMA,EAAE,OAAO,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAEC,EAAED,EAAE,IAAI,CAACW,EAAE,IAAI,IAAI3W,GAAG,EAAE2W,EAAE,KAAKknC,GAAGhpC,CAAC,EAAEV,EAAE,KAAK,KAAK,CAAC,CAAC,EAAE8B,EAAE,IAAIjW,GAAG,EAAEgW,EAAE,KAAK6nC,GAAGhpC,CAAC,EAAEV,EAAE,KAAK,IAAI,EAAE,KAAK,eAAeU,EAAEoB,EAAE,KAAK,KAAKF,EAAEC,EAAE7B,CAAC,EAAE,KAAK,YAAY,KAAK,qBAAqB,KAAK,MAAM,IAAImpC,GAAG,mFAAmF,EAAE,OAAOrnC,CAAC,CAAC,CAAC,CAAC,CAAC,6BAA6BpB,EAAE,CAAC,GAAG,KAAK,iBAAiB,KAAK,GAAGA,EAAE,SAAS,KAAK,gBAAgB,OAAO,QAAQ,KAAK,iDAAiD,KAAK,UAAUA,CAAC,kDAAkD,KAAK,UAAU,KAAK,eAAe,mBAAmB,KAAK,MAAM,MAAM,CAAC,IAAIV,EAAE,GAAG,KAAK,gBAAgB,QAAQ,CAAC,EAAEG,IAAI,CAAC,GAAG,MAAMO,EAAEP,IAAI,MAAMO,EAAEP,KAAK,IAAIH,EAAE,GAAG,CAAC,EAAEA,GAAG,QAAQ,KAAK,kCAAkC,KAAK,UAAUU,CAAC,8CAA8C,KAAK,SAAS,KAAK,UAAU,KAAK,eAAe,GAAG,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,GAAG,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIsoC,GAAG,aAAa,KAAK,kEAAkE,EAAE,IAAItoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,aAAa,CAAC,IAAI,EAAE,KAAK,UAAUA,EAAE,YAAY,EAAEU,EAAE,QAAQ,CAAC,IAAI,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,GAAG,aAAa,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAEA,EAAE,GAAGA,CAAC,KAAM,OAAM,IAAIgpC,GAAG,aAAa,KAAK,gIAAgI,CAAC,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIC,GAAG,sCAAsC,KAAK,yFAAyF,EAAE,OAAO2G,GAAG,KAAK,OAAO,CAAC,CAAC,MAAMlvC,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,WAAWA,EAAE,GAAG,CAAC,OAAOqvC,GAAGrvC,EAAE,KAAK,iBAAiB,KAAK,OAAO,CAAC,CAAC,WAAWA,EAAE,CAAClD,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,QAAQ,GAAGA,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,4CAA4C,KAAK,sCAAsCxoC,EAAE,uCAAuCV,EAAE,qCAAqCU,MAAM,EAAE,GAAGV,EAAE,SAAS,EAAE,OAAO,IAAI,EAAE,CAAC,EAAEG,EAAE4vC,GAAG/vC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,CAAC,IAAIC,EAAEzB,EAAEwB,GAAGE,EAAE7B,EAAE2B,GAAGG,EAAEpB,EAAEiB,GAAG,GAAG,CAACrD,EAAE,YAAYsD,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,IAAIonC,EAAE,sBAAsBtnC,EAAE,mDAAmDE,EAAE,OAAO,EAAE,EAAE,KAAK,CAACD,EAAEC,CAAC,CAAC,CAAC,CAACkuC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUtvC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,GAAG,KAAK,kBAAkB,QAAQpB,CAAC,IAAI,GAAG,MAAM,IAAIwoC,EAAE,yBAAyBxoC,eAAe,KAAK,MAAM,EAAE,KAAK,kBAAkB,KAAKA,CAAC,EAAE,GAAG,OAAO,EAAE,WAAW,KAAK,4BAA4BP,EAAE2B,GAAG,KAAKA,EAAE,EAAEytC,GAAG,OAAO,GAAG,IAAI,EAAEpvC,EAAE,MAAMH,EAAE,CAAC,EAAEwC,EAAE,IAAI7c,GAAG,EAAE,EAAE+a,EAAEkB,EAAEC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEF,GAAG,MAAM,KAAK,QAAQ,IAAIA,EAAE,MAAMa,EAAE,KAAK,CAAC,CAAC,EAAEZ,GAAG,OAAOA,EAAE,IAAIA,EAAE,KAAK,kBAAkB,KAAKY,CAAC,EAAE,KAAK,qBAAqB,KAAKA,CAAC,EAAEA,CAAC,CAAC,6BAA6B9B,EAAE,CAAC,KAAK,0BAA0BA,CAAC,CAAC,QAAQA,EAAE,CAACA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,IAAIA,EAAEgpC,GAAGhpC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,MAAM,KAAK,OAAO,KAAK,GAAGA,CAAC,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,YAAYA,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,gBAAgB,CAAC,GAAGA,GAAG,KAAK,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,KAAK,MAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,CAAC,CAAC,MAAO,OAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,EAAE,OAAO,IAAI,CAAC,OAAOA,CAAC,CAAC,eAAeU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,KAAK,CAAC,IAAIC,EAAE4nC,GAAGhpC,CAAC,EAAEV,EAAE0pC,GAAG1pC,CAAC,EAAE,EAAE0pC,GAAG,CAAC,EAAEvpC,EAAEupC,GAAGvpC,CAAC,EAAEwB,EAAE8tC,GAAG9tC,CAAC,EAAEC,EAAE6tC,GAAG7tC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEY,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQE,KAAKZ,EAAE,EAAE,KAAKY,EAAE,WAAW,EAAEF,EAAE,KAAKE,EAAE,SAAS,EAAE,EAAE,KAAKA,EAAE,WAAW,EAAE,IAAIwtC,GAAG,CAAC,cAAc,KAAK,cAAc,EAAE,YAAY1tC,EAAE,cAAc,EAAE,aAAaV,EAAE,cAAc9B,EAAE,WAAW,EAAE,YAAYG,EAAE,YAAYwB,EAAE,aAAaC,CAAC,EAAEC,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAI1C,EAAE0C,GAAG,YAAY,KAAK1C,EAAE0C,GAAG,UAAU,KAAK,aAAa,OAAO,EAAE1C,EAAE0C,GAAG,YAAYA,CAAC,CAAC,WAAW,CAAC,IAAIhC,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAE,OAAO,KAAK,iBAAiB,OAAOA,EAAE,gBAAgB,KAAK,iBAAiB,KAAK,OAAO,OAAOA,EAAE,MAAM,KAAK,OAAOA,CAAC,CAAC,gBAAgB,CAAC,OAAO,KAAK,QAAQ,QAAQA,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,QAAQ,MAAM,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,UAAU,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,yCAAyC,EAAE,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,wCAAwC,EAAE,KAAK,kBAAkB,EAAE,IAAIA,EAAE,EAAE,MAAM,EAAE,KAAK,YAAY,IAAIA,EAAE,KAAK,eAAe,GAAG,CAAC,qBAAqB,KAAK,UAAU,qBAAqBA,CAAC,CAAC,CAAC,EAAE,SAAS2vC,GAAGvwC,EAAE,CAACA,EAAE4pC,GAAG5pC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAKE,EAAE,KAAK,EAAE,OAAOypC,GAAG,CAAC,CAAC,CAAC,SAAS6G,GAAGxwC,EAAE,CAAC,MAAM,SAAS,CAAC,SAASywC,GAAGzwC,EAAE,EAAEE,EAAE,CAAC,IAAI,GAAG,MAAMA,GAAG,MAAMA,EAAE,KAAK,EAAEF,EAAE,YAAYE,EAAEF,EAAE,WAAW,EAAE,aAAa,SAAS,EAAE,MAAM,CAACA,CAAC,EAAE,CAAC,IAAII,EAAE,EAAE,aAAaF,GAAG,GAAGE,EAAE,cAAc,SAAS,EAAE,OAAOA,EAAE,aAAa,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,cAAc,OAAO,IAAI,CAAC,IAAI,EAAEA,EAAE,aAAa,GAAG2B,EAAE3B,EAAE,cAAc,GAAG4B,EAAE5B,EAAE,YAAY,GAAG6B,EAAEwuC,GAAG,EAAE1uC,EAAEC,CAAC,EAAE,QAAQU,KAAKT,EAAE5B,EAAE,QAAQqC,CAAC,IAAI,IAAIrC,EAAE,KAAKqC,CAAC,CAAC,CAAC,OAAOrC,CAAC,CAAC,CAAC,CAAC,IAAIqwC,GAAG,cAAcJ,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAM,CAAC,MAAMA,EAAE,MAAM,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAKoqC,GAAG,OAAO,EAAE,SAAS,CAAC,CAAC,EAAEpqC,EAAE,WAAW,OAAOA,EAAE,UAAU,MAAMA,EAAE,QAAQ,OAAOA,EAAE,OAAO,IAAI,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,OAAOA,EAAE,OAAOA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,MAAM,IAAIwoC,EAAE,mGAAmG,EAAE,IAAIlpC,EAAEU,EAAE,gBAAgB,GAAGV,GAAG,KAAK,CAAC,GAAGU,EAAE,YAAY,KAAK,MAAM,IAAIwoC,EAAE,+EAA+E,EAAElpC,EAAE,CAACU,EAAE,SAAS,EAAE,OAAOA,EAAE,UAAU,CAAC,SAASA,EAAE,WAAW,KAAK,MAAM,IAAIwoC,EAAE,uFAAuF,EAAE,IAAI,EAAExoC,EAAE,OAAO,UAAU,KAAK,gBAAgBV,EAAE,KAAK,MAAM,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAItU,GAAG,KAAK,MAAM,KAAK,gBAAgB,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,IAAI,EAAEsU,EAAE,UAAU,EAAEA,EAAE,YAAY,EAAE,IAAI+vC,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,CAAC/vC,CAAC,EAAE,cAAc,CAACA,CAAC,EAAE,WAAW,CAAC,IAAI,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,CAACH,CAAC,EAAE,aAAa,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,MAAM,IAAIkpC,EAAE,6EAA6E,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,CAAC,qBAAqB,KAAK,UAAU,qBAAqB,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,gBAAgB,KAAK,gBAAgB,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEsH,GAAG,UAAU,aAAah2C,GAAE,cAAcg2C,EAAE,EAAE,SAASC,GAAG3wC,EAAE,CAAC,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,8HAA8H,EAAE,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAIopC,EAAE,kFAAkF,EAAE,IAAI,EAAEppC,EAAE,WAAWA,EAAE,OAAO,MAAM,GAAG,OAAO,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAG,IAAIE,EAAEF,EAAE,MAAM,OAAOE,GAAG,OAAOA,EAAE,WAAW,IAAIwwC,GAAG,CAAC,gBAAgB,EAAE,KAAK1wC,EAAE,KAAK,MAAME,EAAE,OAAOF,EAAE,MAAM,CAAC,EAAE,aAAa,GAAG,cAAc,EAAE,CAAC,SAAS4wC,GAAG5wC,EAAE,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,EAAE,MAAM,OAAO,EAAE,GAAG,CAAC,OAAOjR,GAAE,EAAEiR,EAAE,KAAK,CAAC,OAAOE,EAAN,CAAS,MAAM,IAAIkpC,EAAE,0BAA0B,EAAE,mDAAmDppC,EAAE,UAAUA,EAAE,SAAS,CAAC,CAAC,CAAC,IAAI6wC,GAAG,KAAK,CAAC,YAAYjwC,EAAE,CAAC,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEA,aAAaiwC,GAAG,QAAQ3wC,KAAKU,EAAE,SAAS,KAAK,SAASV,GAAGU,EAAE,SAASV,GAAGA,KAAKU,EAAE,UAAU,KAAK,QAAQV,GAAGU,EAAE,QAAQV,QAAQ,CAAC,GAAGU,GAAG,KAAK,OAAO,QAAQV,KAAKU,EAAE,KAAK,IAAIV,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,SAASU,EAAE,KAAK,KAAK,KAAK,SAASA,EAAE,IAAIgwC,GAAGhwC,EAAEV,CAAC,EAAE,KAAK,QAAQU,EAAE,MAAMA,EAAE,GAAG,GAAG,OAAO,KAAK,QAAQA,EAAE,IAAI,OAAQ,OAAM,IAAIwoC,EAAE,uBAAuBxoC,EAAE,YAAYA,EAAE,IAAI,EAAE,OAAO,IAAI,CAAC,QAAQA,EAAE,CAAC,KAAK,IAAIA,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,SAASA,EAAE,KAAK,IAAI,CAAC,OAAO,CAAC,OAAO,OAAO,KAAK,KAAK,OAAO,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,aAAa7U,GAAG,CAAC,GAAG,KAAK,SAAS6U,EAAE,KAAK,KAAK,MAAM,IAAIwoC,EAAE,oBAAoBxoC,EAAE,MAAM,EAAE,OAAO,KAAK,SAASA,EAAE,GAAG,KAAK,CAAC,IAAIV,EAAE,KAAK,QAAQU,GAAG,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,yCAAyCxoC,GAAG,EAAE,OAAO,KAAK,SAASV,EAAE,CAAC,CAAC,QAAQU,EAAE,CAAC,GAAGA,aAAa7U,GAAG,CAAC,GAAG,KAAK,SAAS6U,EAAE,KAAK,KAAK,MAAM,IAAIwoC,EAAE,oBAAoBxoC,EAAE,MAAM,EAAE,OAAO,KAAK,QAAQA,EAAE,GAAG,KAAK,CAAC,IAAIV,EAAE,KAAK,QAAQU,GAAG,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,yCAAyCxoC,GAAG,EAAE,OAAO,KAAK,QAAQV,EAAE,CAAC,CAAC,cAAc,CAAC,KAAK,SAAS,MAAMlP,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE8/C,GAAG,IAAIvH,GAAGwH,GAAG,IAAIxH,GAAG,SAASyH,GAAGhxC,EAAE,CAAC8wC,IAAI,MAAMA,GAAG,cAAc9wC,CAAC,EAAE+wC,IAAI,MAAMA,GAAG,cAAc/wC,CAAC,CAAC,CAAC,SAASixC,GAAGjxC,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEH,GAAG,KAAK,GAAGA,EAAE,SAAS,EAAE,MAAM,QAAQF,CAAC,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,EAAE+B,EAAE,EAAE,IAAIe,GAAGA,EAAE,IAAI,EAAEd,EAAE,CAAC,EAAEC,EAAE,EAAE,MAAM,EAAE,QAAQa,KAAKf,EAAEE,EAAE,QAAQa,CAAC,IAAI,GAAGd,EAAE,KAAK,EAAE,SAASc,CAAC,CAAC,EAAEd,EAAE,KAAK,IAAI,EAAE5B,GAAG,OAAOA,EAAE,cAAc,GAAG,EAAEA,EAAE,cAAc,EAAE,GAAG,IAAIsC,EAAEX,EAAE,KAAK,GAAG,EAAE,IAAI,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,GAAG,EAAEY,EAAEmuC,GAAG,IAAIpuC,CAAC,EAAEE,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIG,EAAEouC,GAAG,EAAE,CAAC,EAAEvuC,EAAEG,EAAE,OAAOF,EAAEE,EAAE,gBAAgBguC,GAAG,IAAIpuC,EAAEC,CAAC,EAAEouC,GAAG,IAAIruC,EAAEE,CAAC,CAAC,CAACA,EAAE,CAAC,EAAEvC,GAAG,OAAO,OAAOuC,EAAEmuC,GAAG,IAAIruC,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAIguC,GAAG,CAAC,EAAE,QAAQ/tC,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,GAAG1C,GAAG,KAAK,CAAC,IAAImH,EAAEpR,GAAG,EAAE,WAAWoR,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,GAAGA,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,EAAE,CAAC,IAAIvD,EAAErB,EAAEG,GAAG,EAAEkB,EAAE,YAAY,GAAG,aAAa0sC,GAAG,SAAS,IAAIppC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE7C,EAAE,CAAC,EAAEC,EAAE,GAAG,QAAQ6C,KAAKvD,EAAE,OAAO,CAAC,IAAIgB,EAAEnC,EAAE,SAAS0E,CAAC,EAAEtC,EAAEpC,EAAE,QAAQ0E,CAAC,EAAED,EAAE,KAAKtC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEA,GAAG,OAAOP,EAAE,IAAIrE,IAAIuC,EAAE2E,EAAE,QAAQ3E,EAAE2E,EAAE,QAAQ,GAAG,CAAC,EAAE,OAAOA,CAAC,GAAGxF,EAAE,QAAQwF,EAAE,IAAI,IAAI,IAAI,CAACvC,EAAE,YAAYuC,EAAE,YAAY,WAAW,IAAI9C,EAAE,KAAKO,CAAC,EAAE,CAACN,IAAIxE,EAAEA,GAAG,CAAC,EAAEA,EAAE,KAAK,EAAE,IAAI,IAAIyE,EAAEilC,GAAG,EAAE,MAAMtiC,EAAEpH,CAAC,CAAC,EAAE0E,EAAE,KAAK,EAAE,kBAAkBA,EAAE,EAAE,YAAY0C,EAAE,CAAC,GAAG,IAAIzC,EAAEssC,GAAGntC,CAAC,EAAEe,EAAE,MAAM,QAAQF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC1E,EAAE,OAAOkC,EAAEwC,EAAE,GAAG1E,EAAE,IAAIkC,EAAEwC,GAAG5C,EAAE4C,GAAG,MAAM,QAAQ3C,CAAC,EAAEA,EAAE,GAAGA,CAAC,EAAE,IAAII,EAAEjD,EAAE,QAAQgD,EAAEwC,GAAG,IAAI,EAAEvC,IAAI,KAAKhD,EAAEgD,GAAGL,EAAE4C,GAAG,CAAClH,GAAGrP,GAAGyT,CAAC,CAAC,CAAC,OAAO5B,EAAE,aAAa,EAAE,EAAEb,EAAEA,EAAE,EAAE,CAAC,SAASkvC,GAAGlxC,EAAE,EAAE,CAACxB,EAAE,OAAOwB,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAGJ,EAAE,SAAS,EAAE,CAAC,IAAIK,EAAE+wC,GAAGpxC,EAAE,GAAG,CAAC,EAAEE,EAAEG,EAAE,OAAOD,EAAEC,EAAE,YAAY,KAAK,CAAC,IAAIA,EAAE,IAAI,IAAI,QAAQ,KAAKL,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,aAAa+B,CAAC,EAAEqvC,GAAG,EAAE,CAAC,EAAE,QAAQpvC,KAAK,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,IAAI9B,EAAE,KAAK8B,CAAC,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,GAAG,QAAQA,KAAKD,EAAE3B,EAAE4B,IAAI,OAAO5B,EAAE4B,GAAG,IAAI,KAAKD,EAAEC,GAAG,QAAQC,GAAG7B,EAAE4B,GAAG,IAAIC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/B,EAAE,gBAAgBmxC,GAAGjxC,CAAC,CAAC,CAAC,CAAC,SAASixC,GAAGrxC,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAEE,GAAGF,EAAEE,GAAG,KAAK,OAAO,CAAC,CAAC,SAASkxC,GAAGpxC,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ0B,KAAK,EAAE,MAAM,EAAE7B,EAAE,IAAI6B,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK/B,CAAC,EAAE,EAAE,OAAO,GAAG,CAAC,IAAI+B,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG7B,EAAE,IAAI6B,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAIC,EAAE,EAAE,EAAE,OAAO,KAAK,EAAE,OAAO,EAAE,GAAGD,EAAE,OAAO,SAAS,GAAGC,EAAE,EAAE,IAAI,EAAE5B,EAAE,KAAK2B,CAAC,EAAE7B,EAAE,IAAI6B,EAAE,IAAI,EAAEC,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,OAAO,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAO1B,EAAE4B,EAAE,OAAO,OAAO5B,EAAE4B,EAAE,MAAM,IAAI,KAAK5B,EAAE4B,EAAE,MAAM,IAAIF,EAAE,IAAI,EAAE,CAAC7B,EAAE,IAAI+B,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7B,EAAE,aAAaC,CAAC,CAAC,CAAC,SAAS8wC,GAAGnxC,EAAE,CAAC,IAAI,EAAE,GAAGA,EAAE,YAAY,aAAa,SAAS,EAAE,EAAEA,EAAE,YAAY,WAAW,CAAC,IAAIE,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,YAAY,aAAa,OAAO,EAAEI,EAAE,QAAQC,KAAKL,EAAE,YAAY,aAAaI,GAAG,cAAc,GAAGC,EAAE,KAAKL,EAAE,GAAG,CAACE,EAAEE,EAAE,KAAK,CAAC,EAAEJ,EAAE,YAAY,YAAYE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIoxC,GAAG1/C,EAAE,EAAE0/C,GAAG,aAAa,qCAAqC,IAAI,IAAIN,EAAE,EAAE,IAAIvhD,GAAG,CAAC,EAAEwQ,GAAGxQ,GAAG,CAAC,QAAQ,IAAI8hD,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG3xC,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAItB,GAAGS,GAAG/F,EAAEkJ,EAAEA,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI4xC,GAAG,cAAcl3C,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEm3C,GAAG,cAAcD,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEyxC,GAAG/wC,EAAE,KAAK,IAAI,EAAE,EAAE3R,GAAGiR,EAAE,EAAE,KAAK,QAAQ,EAAE,OAAOpJ,EAAE8J,EAAE1P,GAAG,EAAEhE,EAAEu/C,GAAG,EAAEvsC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE2xC,GAAG,UAAU,UAAUn3C,GAAE,cAAcm3C,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAIxM,GAAG0P,EAAE1T,EAAEu/C,GAAG,EAAEkF,GAAG/wC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEkxC,GAAG,UAAU,WAAWp3C,GAAE,cAAco3C,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAMhxC,EAAE,CAAC,OAAOrH,GAAGqH,CAAC,CAAC,CAAC,EAAEmxC,GAAG,UAAU,SAASr3C,GAAE,cAAcq3C,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,YAAY,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEyxC,GAAG/wC,EAAE,KAAK,IAAI,EAAE,EAAE1T,EAAE4J,EAAE,KAAK,KAAK7H,GAAGiR,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAEpJ,EAAE,EAAE,KAAK,KAAKoJ,CAAC,CAAC,EAAE,OAAOpJ,EAAE8J,EAAE1P,GAAG,EAAEhE,EAAEu/C,GAAG,EAAEvsC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,SAAS,KAAK,SAAS,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE8xC,GAAG,UAAU,aAAat3C,GAAE,cAAcs3C,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQ,UAAU,WAAW,aAAa,OAAO,SAAS,SAAS,UAAU,EAAE,SAASC,GAAGlyC,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASmyC,GAAGnyC,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAAS03C,GAAGpyC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKiyC,GAAGA,GAAGjyC,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOmyC,GAAGjyC,CAAC,CAAC,KAAM,QAAOF,aAAa4xC,GAAG5xC,EAAEmyC,GAAGnyC,CAAC,CAAC,CAAC,SAASuxC,GAAGvxC,EAAE,CAAC,OAAO,IAAI6xC,GAAG7xC,CAAC,CAAC,CAAC,SAAS0xC,GAAG1xC,EAAE,CAAC,OAAO,IAAI8xC,GAAG9xC,CAAC,CAAC,CAAC,SAASyxC,IAAI,CAAC,OAAO,IAAIM,EAAE,CAAC,SAASP,GAAGxxC,EAAE,CAAC,OAAO,IAAIgyC,GAAGhyC,CAAC,CAAC,CAAC,IAAInM,GAAG,CAAC,EAAEoM,GAAGpM,GAAG,CAAC,SAAS,IAAIw+C,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,MAAM,IAAIC,EAAE,CAAC,EAAE,SAASA,IAAI,CAAC,OAAO,IAAI7E,EAAE,CAAC,SAASuE,IAAI,CAAC,OAAO,IAAItE,EAAE,CAAC,SAAS8D,GAAGryC,EAAE,CAAC,OAAO,IAAIwuC,GAAGxuC,CAAC,CAAC,CAAC,SAASgzC,GAAGhzC,EAAE,CAAC,OAAO,IAAIyuC,GAAGzuC,CAAC,CAAC,CAAC,SAAS+yC,GAAG/yC,EAAE,CAAC,OAAO,IAAI0uC,GAAG1uC,CAAC,CAAC,CAAC,SAASizC,GAAGjzC,EAAE,CAAC,OAAO,IAAI2uC,GAAG3uC,CAAC,CAAC,CAAC,SAAS0yC,GAAG1yC,EAAE,CAAC,OAAO,IAAI4uC,GAAG5uC,CAAC,CAAC,CAAC,SAASkzC,GAAGlzC,EAAE,CAAC,OAAO,IAAI8uC,GAAG9uC,CAAC,CAAC,CAAC,SAASuyC,GAAGvyC,EAAE,CAAC,OAAO,IAAI+uC,GAAG/uC,CAAC,CAAC,CAAC,SAASsyC,GAAGtyC,EAAE,CAAC,OAAO,IAAIgvC,GAAGhvC,CAAC,CAAC,CAAC,SAASwyC,GAAGxyC,EAAE,CAAC,OAAO,IAAIivC,GAAGjvC,CAAC,CAAC,CAAC,SAASyyC,GAAGzyC,EAAE,CAAC,OAAO,IAAIkvC,GAAGlvC,CAAC,CAAC,CAAC,SAAS2yC,GAAG3yC,EAAE,CAAC,OAAO,IAAImvC,GAAGnvC,CAAC,CAAC,CAAC,SAAS4yC,GAAG5yC,EAAE,CAAC,OAAO,IAAIovC,GAAGpvC,CAAC,CAAC,CAAC,SAAS8yC,GAAG9yC,EAAE,CAAC,OAAO,IAAIqvC,GAAGrvC,CAAC,CAAC,CAAC,IAAI1L,GAAG,CAAC,EAAE2L,GAAG3L,GAAG,CAAC,MAAM,IAAIg8C,GAAG,IAAI,IAAI1nD,GAAG,QAAQ,IAAIwqD,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,WAAW,IAAIC,GAAG,eAAe,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIjiD,GAAG,WAAW,IAAIkiD,GAAG,mBAAmB,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,IAAI,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,eAAeC,GAAGh4C,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAI,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,KAAKL,EAAE,CAAC,IAAI,EAAEA,EAAEK,GAAG,GAAG,OAAO,GAAG,SAAS,CAAC,IAAI,EAAE,EAAE,EAAE,KAAK,EAAE,KAAK,CAAC,EAAEH,EAAE,KAAKG,CAAC,EAAED,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEL,EAAEE,EAAE,IAAIG,EAAE,GAAG,GAAGrP,GAAGoP,CAAC,CAAC,CAAC,CAAC,SAAS63C,GAAGj4C,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAKA,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,OAAOE,GAAG,UAAUA,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIg4C,IAAI,SAASl4C,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAGk4C,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,IAAIC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,eAAe,IAAI,CAAC,UAAUx3C,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,CAAC,MAAM,aAAaU,EAAE,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,CAAC,SAASA,EAAE,CAAC,CAAC,EAAEjf,GAAG,KAAK,CAAC,YAAYif,EAAEV,EAAE,GAAG,CAACU,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,KAAK,YAAYV,CAAC,CAAC,OAAOU,EAAE,CAAC,KAAK,UAAU,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAE,CAAC,QAAQV,KAAK,KAAK,UAAUA,EAAE,UAAUU,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,QAAQV,KAAK,KAAK,UAAUA,EAAE,SAASU,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaU,EAAEV,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWU,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaU,EAAEV,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWU,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQV,KAAK,KAAK,UAAU,MAAMA,EAAE,aAAaU,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQV,KAAK,KAAK,UAAU,MAAMA,EAAE,WAAWU,CAAC,CAAC,CAAC,EAAEy3C,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,MAAM,aAAax3C,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI,EAAEA,EAAE,MAAM,KAAK,EAAEA,EAAE,KAAK,KAAK,MAAM,EAAE,QAAQG,KAAKH,EAAE,CAAC,IAAI2B,EAAE3B,EAAEG,GAAG,GAAG,OAAOwB,GAAG,SAAS,KAAK,OAAO,eAAexB,CAAC,IAAI,KAAK,OAAOA,GAAG,GAAG,KAAK,OAAOA,GAAG,KAAK,OAAOA,GAAGwB,EAAE,MAAM,CAAC,IAAIC,EAAEzB,KAAK,KAAK,OAAOyB,EAAE,KAAK,OAAOzB,GAAG,KAAK,OAAOA,GAAG,EAAE,IAAI0B,EAAErE,EAAE,IAAIxQ,EAAE,KAAK,OAAOmT,GAAGvJ,EAAE+K,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,OAAOxB,GAAG0B,EAAED,GAAG,MAAMA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,WAAWlB,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,OAAO,OAAO,KAAK,OAAO,IAAI,SAASA,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,KAAKxC,EAAE,IAAI,CAAC,IAAI2C,EAAEvJ,EAAE5F,GAAG,EAAE,KAAK,IAAI,EAAE,KAAK,OAAO,EAAE,EAAEgP,EAAE,GAAGG,EAAE,KAAK,OAAO,GAAG,QAAQ,EAAEjM,GAAG8L,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEhb,GAAG,cAAckzD,EAAE,CAAC,MAAM,aAAax3C,EAAE,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAM,KAAKU,CAAC,EAAE,QAAQ,KAAKV,EAAE,KAAK,QAAQ,IAAI,OAAO,KAAK,QAAQ,GAAG,CAAC,GAAG,KAAK,QAAQ,GAAG,KAAKA,EAAE,EAAE,CAAC,CAAC,MAAM,UAAU,CAAC,IAAIU,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ2B,KAAK,KAAK,QAAQ,CAAC,IAAIC,EAAE,KAAK,QAAQD,GAAG,QAAQE,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,GAAG,OAAOD,EAAEC,IAAI,SAAS,CAAC,IAAIC,EAAEF,EAAEC,GAAGnB,EAAE,KAAKoB,EAAE,KAAK,CAAC,EAAE9B,EAAE,KAAK2B,CAAC,EAAE,EAAE,KAAKE,CAAC,CAAC,CAAC,CAAC,IAAI1B,EAAE,MAAM,QAAQ,IAAIO,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,KAAK,QAAQ3B,EAAE2B,IAAI,EAAEA,IAAI,QAAQ,EAAE,KAAK,QAAQ3B,EAAE2B,IAAI,EAAEA,IAAIxB,EAAEwB,GAAG,EAAE,CAAC,EAAEhf,GAAG,cAAcu1D,EAAE,CAAC,YAAYx3C,EAAEV,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,QAAQU,EAAE,QAAQ,KAAK,cAAcA,EAAE,eAAe1J,GAAG,KAAK,WAAWgJ,GAAG,OAAO,KAAK,aAAa,SAAS,KAAK,WAAWi4C,IAAI,KAAK,aAAa,SAASv3C,EAAE,SAAS,KAAK,MAAM,IAAI,MAAM,iHAAiH,EAAEpC,EAAE,SAAS,KAAK,UAAU,IAAI,KAAK,UAAUmsC,GAAG,KAAK,UAAU,KAAK,IAAI,EAAE,KAAK,WAAW,KAAK,OAAO,GAAG,KAAK,WAAW/pC,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,MAAMA,EAAE,OAAO,CAAC,MAAM,UAAUA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,KAAK,OAAO,OAAO,MAAM23C,GAAG,CAAC,EAAE33C,EAAE,KAAK,KAAK,MAAMO,EAAEV,EAAE,CAAC,CAAC,GAAGG,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAIA,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAEV,EAAE,CAAC,KAAK,aAAaU,EAAE,KAAK,YAAY,OAAO,MAAMo3C,GAAG93C,CAAC,EAAE,MAAM,KAAK,WAAWU,EAAEV,CAAC,EAAE,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,EAAE,KAAK,KAAK,SAASU,EAAEV,CAAC,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,KAAK,YAAY,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,MAAM,KAAK,WAAWU,EAAEV,CAAC,EAAE,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,EAAE,KAAK,KAAK,SAASU,EAAEV,CAAC,CAAC,GAAG,KAAK,aAAa,QAAQ,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE1B,EAAE,SAAS,KAAK,UAAU,GAAG,EAAE,KAAK,KAAK,UAAU,KAAK,aAAaoC,EAAEV,CAAC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAE,CAAC,KAAK,YAAY,OAAO,MAAMo3C,GAAGp3C,CAAC,EAAE,MAAM,KAAK,WAAWA,CAAC,EAAE,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,UAAU,OAAO,MAAMo3C,GAAGp3C,CAAC,EAAE,MAAM,KAAK,SAASA,CAAC,EAAE,CAAC,EAAE,SAAS03C,GAAGt4C,EAAE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAGA,aAAao4C,GAAG,CAACp4C,CAAC,EAAE,MAAM,QAAQA,CAAC,GAAGA,EAAE,aAAao4C,GAAGp4C,EAAE4pC,GAAG5pC,CAAC,EAAE,IAAI,GAAG,IAAInd,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI01D,GAAG,KAAK,CAAC,aAAa,CAAC,CAAC,OAAO,4BAA4B33C,EAAEV,EAAE,CAAC1B,EAAE,OAAOoC,GAAG,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,8DAA8DA,GAAG,EAAE23C,GAAG,kBAAkBr4C,CAAC,EAAEq4C,GAAG,aAAa33C,IAAI,OAAO23C,GAAG,aAAa33C,GAAG,CAAC,GAAG23C,GAAG,aAAa33C,GAAG,KAAKV,CAAC,CAAC,CAAC,OAAO,kBAAkBU,EAAE,CAAC,QAAQV,KAAKq4C,GAAG,aAAaA,GAAG,aAAa,CAACr4C,GAAG,QAAQG,GAAG,CAAC,GAAGA,IAAIO,EAAE,MAAM,IAAIwoC,EAAE,iCAAiC,CAAC,CAAC,CAAC,CAAC,OAAO,OAAO,CAACmP,GAAG,aAAa,CAAC,CAAC,CAAC,OAAO,gBAAgB33C,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,KAAKq4C,GAAG,aAAa,CAAC,IAAIl4C,EAAE,CAAC,EAAEO,GAAGP,GAAGH,EAAE,KAAK,GAAGq4C,GAAG,aAAal4C,EAAE,CAAC,CAAC,OAAOH,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAEq4C,GAAG,aAAa,CAAC,EAAE,SAASC,GAAGx4C,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI/c,GAAGwd,EAAE,CAAC,IAAI21C,GAAG,GAAGE,GAAG,gBAAgB,CAAC,CAAC,EAAEv4C,GAAG,MAAM0C,EAAE,KAAK,GAAG1C,CAAC,EAAE0C,EAAE,KAAKT,CAAC,EAAE,IAAIU,EAAE,IAAIhhB,GAAG+gB,CAAC,EAAE,OAAOC,EAAE,UAAU,CAAC,OAAOzC,EAAE,aAAaE,EAAE,QAAQC,EAAE,MAAM,EAAE,UAAU,EAAE,QAAQ,EAAE,aAAa0B,EAAE,QAAQC,CAAC,CAAC,EAAE,CAAC,aAAaW,EAAE,QAAQV,CAAC,CAAC,CAAC,SAASw2C,GAAGz4C,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,OAAOgqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,QAAQwF,CAAC,CAAC,CAAC,SAASw4C,GAAG14C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAACsC,EAAE,QAAQ,YAAYA,EAAEjR,GAAEiR,EAAE,SAAS,GAAG,IAAIE,EAAErD,GAAG6wC,GAAG1tC,CAAC,EAAE,EAAE,EAAE,EAAEI,EAAE/N,GAAG6N,EAAE,MAAMusC,GAAG,CAAC,EAAEpsC,EAAEjE,GAAGnG,GAAGiK,EAAEE,CAAC,CAAC,EAAE,OAAOlP,GAAG8O,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,SAASs4C,GAAG34C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIxH,GAAGw3C,GAAG9wC,GAAG,EAAEoD,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS44C,GAAG54C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIxH,GAAGnJ,GAAG6P,GAAG,EAAEoD,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS64C,GAAG74C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEtD,GAAGoD,EAAE,CAAC,EAAEI,EAAEnR,GAAGlC,GAAGiT,CAAC,EAAEysC,GAAG,EAAE,OAAO,SAAS,EAAEpsC,EAAEtT,GAAGmE,GAAGgP,EAAEE,CAAC,CAAC,EAAE,OAAOtJ,EAAE,IAAIZ,GAAGmK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASy4C,GAAG94C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjR,GAAG,EAAEw9C,GAAG,EAAE,OAAO,SAAS,EAAErsC,EAAEpL,GAAG9H,EAAE,EAAEgT,CAAC,CAAC,EAAEG,EAAEpR,GAAG+Q,EAAEysC,GAAG,EAAE,OAAO,SAAS,EAAE,EAAEz3C,GAAG9H,EAAE,EAAEmT,CAAC,CAAC,EAAE,OAAOnK,GAAGw3C,GAAG9wC,GAAGwD,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS24C,GAAG/4C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjK,GAAG,EAAE2G,GAAG,EAAE9F,EAAEkJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9J,GAAGw3C,GAAGxtC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS84C,GAAGh5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjK,GAAG,EAAE2G,GAAG,EAAE9F,EAAEkJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9J,GAAGgK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+4C,GAAGj5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAErD,GAAG/F,EAAEkJ,EAAE,CAAC,EAAE,EAAE,EAAEI,EAAEvK,GAAGiB,EAAE8F,GAAG,EAAEoD,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO/J,GAAG,EAAE/I,EAAE,EAAE0P,GAAGwD,EAAEF,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASg5C,GAAGl5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,IAAI,CAAC,EAAEE,EAAExD,GAAG,EAAEoD,CAAC,EAAEK,EAAEzD,GAAG1P,EAAEkT,EAAEtE,GAAGhF,EAAE,GAAGsJ,CAAC,CAAC,CAAC,EAAEF,CAAC,EAAE,OAAOhK,GAAGmK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS84C,GAAGn5C,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGwC,EAAE,EAAErE,GAAG,CAAC,MAAM,CAAC,IAAIuE,EAAEvD,GAAG,EAAE,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,EAAE3L,GAAG,EAAEkP,CAAC,CAAC,CAAC,OAAO,EAAEnR,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEx1C,GAAG4F,GAAG/F,EAAE/H,GAAEiR,EAAE,SAAS,EAAEhL,GAAG,CAAC,CAAC,EAAE,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASokD,GAAGp5C,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI0C,EAAErR,GAAEyD,GAAGu6C,GAAG/sC,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE/Q,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAIpsC,EAAE,EAAE,MAAM,EAAE3G,EAAErC,GAAG+I,EAAEC,EAAEA,EAAE,OAAO,EAAE,EAAEA,CAAC,EAAE,OAAO84C,GAAG,EAAE,EAAEj5C,CAAC,CAAC,CAAC,CAAC,CAAC,SAASm5C,GAAGr5C,EAAE,EAAE,CAAC,GAAG,CAACxB,EAAE,YAAYwB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,IAAIopC,EAAE,8DAA8D,KAAK,UAAUppC,EAAE,KAAK,SAAS,KAAK,UAAU,EAAE,KAAK,GAAG,EAAE,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE3G,GAAG,CAAC,EAAE6G,EAAEnJ,GAAGlK,GAAG,CAAC,CAAC,EAAE,OAAOG,EAAE0P,GAAGsD,EAAEpJ,EAAE,EAAEkJ,CAAC,CAAC,EAAE/K,GAAGjD,GAAGoO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASk5C,GAAGt5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE,OAAOA,EAAEjR,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEvsC,EAAElL,GAAG9D,GAAGgP,EAAEtD,GAAG,EAAEsD,CAAC,CAAC,CAAC,EAAEhK,GAAGmjD,GAAGr5C,EAAEE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASq5C,GAAGv5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjR,GAAG+Q,EAAEysC,GAAG,EAAE,CAAC,EAAErsC,EAAEnR,GAAG,EAAEw9C,GAAG,EAAE,CAAC,EAAE,OAAO5vC,GAAG/F,EAAEkJ,EAAEhL,GAAG9D,GAAGgP,EAAEE,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASo5C,GAAGx5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAElL,GAAG9H,EAAEu/C,GAAG,EAAE,CAAC,CAAC,EAAE,OAAOv2C,GAAG0G,GAAG,EAAE9F,EAAEkJ,EAAEE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASu5C,GAAGz5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEw4C,GAAG14C,EAAE,EAAE,EAAEI,EAAEs4C,GAAG,EAAE,EAAE,EAAEr4C,EAAEvJ,EAAEoJ,EAAEE,CAAC,EAAE,OAAOnJ,GAAG4F,GAAGwD,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIq5C,GAAG,CAAC,iBAAiBf,GAAG,kBAAkBC,GAAG,4BAA4BC,GAAG,4BAA4BC,GAAG,aAAaC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,QAAQC,GAAG,wBAAwBC,GAAG,8BAA8BC,GAAG,mBAAmBE,GAAG,0BAA0BC,GAAG,QAAQC,GAAG,gBAAgBC,EAAE,EAAE,SAASE,GAAG35C,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,GAAGA,KAAK05C,GAAG,OAAOA,GAAG15C,GAAG,IAAI,EAAE,gBAAgBA,IAAI,MAAMA,EAAE,YAAY,EAAE,SAAS,qBAAqB,IAAI,EAAE,gBAAgBA,yFAAyF,IAAIopC,EAAE,CAAC,CAAC,KAAM,QAAOppC,CAAC,CAAC,SAAS45C,GAAG55C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEpJ,EAAE,GAAGS,GAAG,CAAC,CAAC,EAAE6I,EAAEusC,GAAGp5C,GAAG,EAAE2M,CAAC,EAAEF,EAAE,KAAK,EAAE,OAAO9J,GAAGrE,GAAGmO,EAAEI,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASy5C,GAAG75C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIivC,GAAG96C,GAAGvE,GAAG0S,EAAE,EAAE,EAAE1S,GAAG,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASwsD,GAAG95C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASkoD,GAAG/5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASmoD,GAAGh6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASooD,GAAGj6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE45C,GAAG95C,EAAE,CAAC,EAAEI,EAAE45C,GAAGh6C,EAAE,CAAC,EAAEK,EAAEnT,EAAEgT,EAAEE,CAAC,EAAE,OAAOrR,GAAEsQ,GAAG9L,GAAG8M,EAAE,CAAC,EAAEnP,GAAGgP,EAAEG,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS65C,GAAGl6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE45C,GAAG95C,EAAE,CAAC,EAAEI,EAAE25C,GAAG/5C,EAAE,CAAC,EAAEK,EAAEnT,EAAEgT,EAAEE,CAAC,EAAE,OAAOrR,GAAEsQ,GAAG9L,GAAG8M,EAAE,CAAC,EAAEnP,GAAGgP,EAAEG,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS85C,GAAGn6C,EAAE,EAAE,CAAC,OAAOs5C,GAAGt5C,EAAE,CAAC,CAAC,CAAC,SAASo6C,GAAGp6C,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAO,EAAE,OAAOA,EAAEzD,GAAGyD,EAAE,CAACA,EAAE,KAAK,CAAC,CAAC,GAAG,EAAE1S,GAAG,EAAE,EAAE,EAAE,EAAE,QAAQ0S,EAAE,QAAQ,EAAEjR,GAAE,EAAEiR,EAAE,KAAK,GAAGjR,GAAE8C,GAAGmO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq6C,GAAG1B,GAAG2B,GAAG3B,GAAG4B,GAAG3B,GAAG4B,GAAG5B,GAAG6B,GAAG5B,GAAG6B,GAAG7B,GAAG8B,GAAGxB,GAAGyB,GAAGnB,GAAGoB,GAAGzB,GAAG0B,GAAG,CAAC,eAAelB,GAAG,oBAAoBC,GAAG,UAAUI,GAAG,wBAAwBU,GAAG,8BAA8BE,GAAG,IAAIR,GAAG,IAAIC,GAAG,IAAIC,GAAG,IAAIC,GAAG,KAAKC,GAAG,KAAKC,GAAG,OAAOE,EAAE,EAAE,SAASG,GAAG/6C,EAAE,CAAC,GAAG,OAAOA,GAAG,UAAUA,KAAK86C,GAAG,OAAOA,GAAG96C,GAAG,GAAG,OAAOA,GAAG,UAAUA,GAAG,KAAK,OAAOA,EAAE,MAAM,IAAIopC,EAAE,kBAAkBppC,GAAG,CAAC,CAAC,SAASg7C,GAAGh7C,EAAE,CAAC,GAAGypC,GAAGzpC,IAAI,KAAK,0BAA0BA,GAAG,EAAE,OAAOA,GAAG,SAAS,OAAOA,EAAE,CAAC,IAAI,EAAE,QAAQE,KAAK,OAAO,KAAKw5C,EAAE,EAAE,GAAGA,GAAGx5C,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,GAAG,IAAI,OAAO,OAAO,EAAE,QAAQA,KAAK,OAAO,KAAK46C,EAAE,EAAE,GAAGA,GAAG56C,KAAKF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,OAAO,IAAI,OAAO,EAAEF,EAAE,IAAI,CAAC,CAAC,SAASi7C,GAAGj7C,EAAE,CAAC,IAAI,EAAE,CAAC,QAAQ,IAAIlC,GAAG,QAAQ,GAAG,EAAE,SAAS,IAAIA,GAAG,SAAS,EAAE,IAAI2uC,GAAG,CAAC,EAAE,KAAK,IAAI3uC,GAAG,KAAK,KAAK,GAAG,KAAK2uC,GAAG,CAAC,EAAE,OAAO,IAAI3uC,GAAG,OAAO,KAAK,GAAG,KAAK2uC,GAAG,EAAE,CAAC,EAAE,QAAQ,IAAI3uC,GAAG,QAAQ,KAAK,GAAG,EAAE2uC,GAAG,CAAC,EAAE,IAAI,IAAI3uC,GAAG,IAAI,GAAG,CAAC,EAAE,GAAG,EAAE,QAAQ,EAAE,QAAQ,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,EAAE,IAAI,EAAE,IAAIkC,KAAK,EAAE,OAAO,EAAEA,GAAG,EAAE,MAAM,IAAIopC,EAAE,qBAAqBppC,GAAG,CAAC,CAAC,SAASk7C,GAAGl7C,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,GAAG,MAAM,OAAOA,GAAG,UAAU,OAAO,eAAeA,CAAC,IAAI,OAAO,WAAW,CAACm7C,GAAGn7C,CAAC,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGE,EAAE,CAAC,IAAIE,EAAE,KAAK,UAAUJ,CAAC,EAAEI,EAAE,OAAO,SAAS,QAAQ,KAAK,mCAAmC,mCAAmCA,EAAE,qJAAqJ,UAAU,CAAC,CAAC,CAAC,SAAS+6C,GAAGn7C,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,GAAG,GAAG,OAAOA,GAAG,SAAS,GAAG,OAAO,eAAeA,CAAC,IAAI,OAAO,UAAU,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQE,KAAK,EAAE,GAAG,OAAOA,GAAG,UAAU,CAACi7C,GAAGn7C,EAAEE,EAAE,EAAE,MAAM,GAAG,MAAM,EAAE,SAAS,MAAM,QAAQF,CAAC,EAAE,CAAC,QAAQ,KAAKA,EAAE,GAAG,CAACm7C,GAAG,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,KAAM,OAAM,OAAO,CAAC,IAAI,EAAE,OAAOn7C,EAAE,OAAO,IAAI,UAAU,IAAI,UAAU,IAAI,SAAS,CAAC,CAAC,SAASo7C,GAAGp7C,EAAE,EAAEE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAIC,EAAEg7C,GAAGr7C,CAAC,EAAE,EAAE,CAAC,eAAe,cAAc,eAAe,SAAS,EAAEK,GAAG,EAAE,GAAG,GAAGH,EAAEA,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI,EAAE,GAAG,IAAIA,EAAEA,GAAG,CAAC,IAAI,IAAI,GAAG,GAAG,CAAC,GAAGA,EAAEA,EAAE,OAAO,IAAI,IAAIA,EAAEA,EAAE,IAAIwC,GAAG,KAAK,MAAM,EAAEA,CAAC,CAAC,GAAG,IAAI,EAAE,GAAG,CAACrC,EAAE,CAAC,EAAE,KAAK,iBAAiB,EAAE,EAAE,CAAC,EAAE,QAAQqC,KAAK1C,EAAE,aAAa,EAAE,KAAK,GAAGA,EAAE,aAAa0C,EAAE,CAAC,CAACtC,EAAE,IAAI,OAAO,CAAC,CAAC,EAAEk7C,GAAG,EAAEp7C,EAAEE,CAAC,EAAEA,EAAE,IAAI,OAAO,CAAC,CAAC,EAAE,IAAI2B,EAAE/B,EAAE,OAAO,QAAQ0C,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAErC,EAAEk7C,GAAGx5C,EAAEW,GAAGxC,EAAEE,CAAC,EAAEo7C,GAAGz5C,EAAEW,GAAGxC,EAAE,EAAEE,CAAC,EAAEA,GAAGsC,IAAIX,EAAE,OAAO,EAAE,IAAI,KAAK,OAAO,CAAC,CAAC,EAAE/B,EAAE,iCAAiC,EAAE,IAAIgC,EAAEy5C,GAAGz7C,CAAC,EAAEiC,EAAE6tC,GAAG9vC,EAAE,mBAAmB,EAAEI,EAAE,iBAAiB4B,EAAEC,GAAG,EAAE7B,EAAE,qBAAqB4B,GAAG,EAAE5B,EAAE,yBAAyB6B,GAAG,EAAE7B,EAAE,IAAI,OAAO,CAAC,CAAC,CAAC,CAAC,SAASq7C,GAAGz7C,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,2BAA2B,KAAK,EAAE8vC,GAAG9vC,EAAE,yBAAyB,EAAE,EAAE8vC,GAAG9vC,EAAE,gBAAgB,EAAE,CAAC,CAAC,SAASq7C,GAAGr7C,EAAE,CAAC,IAAI,EAAE,GAAGE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,KAAKL,EAAE,aAAaE,EAAE,KAAKF,EAAE,aAAaK,EAAE,EAAE,QAAQA,KAAKH,EAAE,CAAC,GAAGG,EAAE,OAAO,GAAGA,EAAE,SAAS,GAAGA,EAAE,GAAG,cAAc,OAAO,EAAE,CAAC,EAAE,GAAG,KAAK,CAACD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQA,KAAKL,EAAE,OAAO,CAAC,IAAI,EAAE,GAAG,QAAQ,KAAKK,EAAE,aAAa,GAAGD,EAAE,QAAQ,CAAC,IAAI,GAAG,GAAG,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,EAAE,GAAG,GAAG,CAAC,EAAE,KAAK,CAAC,OAAO,CAAC,CAAC,SAASk7C,GAAGt7C,EAAE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAIE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEA,EAAE,IAAID,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAKA,GAAGJ,EAAEK,GAAGD,EAAEA,EAAE,MAAM,EAAE,EAAEC,EAAE,EAAED,GAAG,IAAI,OAAO,EAAEC,GAAGD,EAAE,MAAM,EAAEF,EAAEE,CAAC,CAAC,CAAC,SAASm7C,GAAGv7C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAE,GAAG,CAACA,EAAEL,EAAE,aAAa,IAAIgC,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS3B,EAAE,UAAU,CAAC,GAAG,CAACD,EAAE,KAAK,UAAUJ,EAAE,WAAW,CAAC,OAAOgC,EAAN,CAAS5B,EAAE,UAAU,CAAC,IAAI,EAAEJ,EAAE,KAAK,EAAEA,EAAE,aAAa,EAAE+B,EAAE,CAAC,GAAG,MAAM,KAAK1B,EAAED,EAAEJ,EAAE,YAAY,EAAE,SAAS,CAAC,EAAEs7C,GAAGv5C,EAAE,EAAE7B,CAAC,CAAC,CAAC,SAASs7C,GAAGx7C,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,GAAG,CAAC,EAAEL,EAAE,aAAa,IAAI2C,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS,EAAE,UAAU,CAAC,GAAG,CAACtC,EAAE,KAAK,UAAUL,EAAE,WAAW,CAAC,OAAO2C,EAAN,CAAStC,EAAE,UAAU,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQsC,KAAK3C,EAAE,aAAa,GAAG,EAAEE,GAAG,MAAMA,EAAE,OAAO,GAAGA,EAAE,QAAQyC,CAAC,IAAI,IAAI,QAAQC,EAAE,EAAEA,EAAED,EAAE,cAAc,OAAO,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,cAAcC,GAAG,KAAKE,EAAEH,EAAE,YAAYC,GAAGoB,EAAErB,EAAE,cAAcC,GAAG,EAAE,KAAK,GAAGC,KAAKC,MAAMkB,IAAI,CAAC,CAAC,IAAIjC,EAAE/B,EAAE,KAAKgC,EAAEhC,EAAE,aAAa,EAAEiC,EAAE,EAAE,SAAS,EAAE,GAAG,EAAE,GAAGS,EAAE,CAAC,GAAGX,MAAMC,KAAK,EAAE3B,EAAEL,EAAE,YAAY,EAAE,SAAS,EAAEiC,CAAC,EAAEq5C,GAAG54C,EAAE,EAAEtC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE24C,GAAG,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE34C,EAAE,EAAE,EAAEvC,CAAC,CAAC,CAAC,SAASs7C,GAAG17C,EAAE,EAAEE,EAAE,CAAC,OAAOF,IAAI,gBAAgBA,IAAI,gBAAgBA,IAAI,gBAAgB,IAAI,GAAG,OAAOE,GAAG,QAAQ,CAAC,SAASy7C,GAAG37C,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAO8pC,GAAG9pC,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAGq7C,GAAG,EAAEr7C,EAAE,CAAC,EAAEH,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKy7C,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOz7C,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQE,KAAK,OAAO,KAAKJ,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAEI,GAAG,GAAGA,IAAI,QAAQ,OAAOC,GAAG,SAASH,EAAEE,GAAGC,MAAM,CAAC,IAAI,EAAEypC,GAAG1pC,CAAC,EAAEF,EAAE,GAAGy7C,GAAGt7C,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOH,CAAC,CAAC,CAAC,SAAS07C,GAAG57C,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAO6pC,GAAG7pC,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAGq7C,GAAG,EAAEr7C,EAAE,CAAC,EAAEH,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK07C,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO17C,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQE,KAAK,OAAO,KAAKJ,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAEI,GAAG,EAAEypC,GAAGzpC,CAAC,GAAGA,IAAI,QAAQA,IAAI,cAAc,OAAOC,GAAG,SAASH,EAAE,GAAGG,EAAEH,EAAE,GAAG07C,GAAGv7C,EAAED,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,CAAC,IAAIlB,GAAG,QAAY68C,GAAG,cAAcvL,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAM,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,CAAC,IAAIkE,EAAE,KAAK,aAAa,EAAE,YAAY,EAAE,KAAK,KAAKkmC,GAAGlmC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,MAAM,QAAQlE,EAAE,MAAM,EAAE,KAAK,OAAOA,EAAE,OAAO,MAAM,EAAE,KAAK,OAAO,CAACA,EAAE,MAAM,EAAE,MAAM,QAAQA,EAAE,OAAO,EAAE,KAAK,QAAQA,EAAE,QAAQ,MAAM,EAAE,KAAK,QAAQ,CAACA,EAAE,OAAO,EAAEypC,GAAG,KAAK,MAAM,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIjB,EAAE,mGAAmG,KAAK,OAAO,IAAItkC,GAAGA,EAAE,IAAI,GAAG,EAAEulC,GAAG,KAAK,OAAO,EAAE,SAAS,KAAK,QAAQ,QAAQ,QAAQ,KAAK,qGAAqG,KAAK,QAAQ,IAAIvlC,GAAGA,EAAE,IAAI,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,yBAAyB,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE,KAAK,0BAA0B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,sBAAsB,CAAC,EAAE,QAAQA,KAAK,KAAK,QAAQ,CAAC,IAAIL,EAAEK,EAAE,YAAYJ,EAAEI,EAAE,UAAUH,EAAEG,EAAE,YAAY,KAAK,aAAa,KAAKL,CAAC,EAAE,KAAK,wBAAwB,KAAKC,CAAC,EAAE,KAAK,0BAA0B,KAAKC,CAAC,CAAC,CAAC,QAAQG,KAAK,KAAK,OAAO,CAAC,IAAIL,EAAEK,EAAE,YAAYJ,EAAEI,EAAE,UAAUH,EAAEG,EAAE,YAAY2kC,GAAG/kC,IAAI,EAAE,0BAA0B,EAAE+kC,GAAG9kC,IAAI,EAAE,4BAA4B,EAAE,KAAK,YAAY,KAAKF,CAAC,EAAE,KAAK,uBAAuB,KAAKC,CAAC,EAAE,KAAK,yBAAyB,KAAKC,CAAC,CAAC,CAAC,KAAK,WAAW,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,eAAe,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIL,EAAE,KAAK,YAAYK,GAAG,GAAG,EAAEL,aAAaisC,IAAI,MAAM,IAAI,UAAU,8EAA8E9vC,EAAE,iBAAiBkE,0CAA0CL,EAAE,aAAa,IAAI,EAAE,KAAK,WAAW,KAAKA,EAAE,IAAI,EAAE,KAAK,gBAAgB,KAAKA,EAAE,eAAe,EAAE,KAAK,eAAe,KAAKA,EAAE,IAAI,CAAC,CAAC,QAAQK,KAAK,KAAK,aAAa,KAAK,YAAY,KAAKA,EAAE,IAAI,EAAE,KAAK,oBAAoB,KAAK,OAAO,IAAIA,GAAGA,EAAE,KAAK,EAAE,KAAK,qBAAqB,KAAK,QAAQ,IAAIA,GAAGA,EAAE,KAAK,EAAE,IAAI5E,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEG,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC8C,EAAEL,EAAEC,EAAEC,EAAEC,EAAEC,IAAI,EAAEF,GAAG,MAAMC,GAAG,MAAMC,GAAG,QAAQF,EAAEG,EAAE,YAAYF,EAAEE,EAAE,UAAUD,EAAEC,EAAE,aAAa,IAAIC,EAAEJ,EAAE,aAAaC,GAAG,GAAGF,EAAE,QAAQK,CAAC,IAAI,GAAG,MAAM,IAAIokC,GAAG,cAAcrkC,EAAE,kBAAkBH,EAAE,2BAA2B,EAAE,GAAGF,EAAE,QAAQM,CAAC,IAAI,GAAG,OAAO,KAAK,eAAe,IAAI82C,GAAG,QAAQl3C,EAAEC,CAAC,CAAC,EAAED,EAAE,MAAM7C,IAAIA,EAAE6C,EAAE,IAAI,OAAO,KAAK7C,CAAC,EAAE,QAAQ4C,EAAE,QAAQK,CAAC,IAAI,IAAIL,EAAE,KAAKK,CAAC,EAAE,IAAIwC,EAAExC,EAAE,cAAc,OAAO,QAAQC,EAAE,EAAEA,EAAEuC,EAAEvC,IAAI,CAAC,IAAIC,EAAEF,EAAE,aAAaC,GAAGE,EAAEH,EAAE,cAAcC,GAAGG,EAAEJ,EAAE,YAAYC,GAAGI,EAAEL,EAAE,cAAcC,GAAGhD,EAAEiD,EAAER,EAAEC,EAAEQ,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIX,EAAE,KAAKM,CAAC,EAAEL,EAAE,QAAQK,CAAC,GAAG,GAAGL,EAAE,OAAOA,EAAE,QAAQK,CAAC,EAAE,CAAC,EAAEhD,EAAE,KAAKgD,CAAC,CAAC,EAAE,EAAE,CAAC,EAAErC,EAAE,CAAC,EAAE,QAAQoC,KAAK,KAAK,QAAQ9C,EAAE8C,EAAE,EAAEpC,CAAC,EAAE,IAAI,EAAEX,EAAE,MAAM,EAAE,QAAQ,EAAE,QAAQ+C,KAAK,EAAE,CAAC,EAAEA,EAAE,IAAIA,EAAEA,EAAE,MAAM5E,IAAIA,EAAE4E,EAAE,IAAI,GAAG,IAAIL,EAAEvE,EAAE4E,EAAE,IAAIJ,EAAErE,EAAEyE,EAAE,cAAc,KAAK,KAAK,EAAEzE,EAAEyE,EAAE,cAAc,IAAIL,EAAE,KAAK,IAAIA,EAAEC,CAAC,EAAErE,EAAEyE,EAAE,cAAc,IAAIL,EAAE5C,EAAEiD,EAAE,cAAc,IAAIA,EAAE,cAAc5E,EAAE4E,EAAE,IAAIL,EAAE,QAAQE,EAAE,EAAEA,EAAEG,EAAE,cAAc,OAAOH,IAAI,CAAC,IAAIC,EAAEE,EAAE,cAAcH,GAAGE,EAAEC,EAAE,YAAYH,GAAGI,EAAEH,EAAE,aAAaC,GAAG0C,EAAErH,EAAE6E,EAAE,KAAK,KAAK,EAAE7E,EAAE6E,EAAE,IAAI7E,EAAE6E,EAAE,IAAI,KAAK,IAAIN,EAAE,EAAE8C,CAAC,EAAE,EAAExC,EAAE,IAAIA,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAE,QAAQkC,KAAK5E,EAAE,CAAC,IAAIuE,EAAEvE,EAAE4E,GAAGL,KAAK7B,IAAIA,EAAE6B,GAAG,CAAC,GAAG7B,EAAE6B,GAAG,KAAK,EAAEK,EAAE,CAAC,CAAC,IAAIjC,EAAE,CAAC,EAAE,QAAQiC,KAAKzE,EAAE,CAAC,IAAIoE,EAAEpE,EAAEyE,GAAGL,KAAK5B,IAAIA,EAAE4B,GAAG,CAAC,GAAG5B,EAAE4B,GAAG,KAAK5C,EAAEiD,EAAE,CAAC,CAAC,IAAIhC,EAAE,OAAO,KAAKD,CAAC,EAAE,IAAIiC,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKslC,EAAE,EAAE,KAAK,OAAO,CAAC,EAAE,QAAQtlC,KAAKhC,EAAE,CAAC,IAAI2B,EAAE5B,EAAEiC,GAAGL,EAAE,KAAK,CAACC,EAAEC,IAAI,CAAC,IAAIC,EAAE9C,EAAE4C,EAAE,IAAIG,EAAE/C,EAAE6C,EAAE,IAAI,OAAOC,EAAEC,EAAE,GAAGD,EAAEC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQH,KAAKD,EAAEC,aAAam3C,IAAI,KAAK,sBAAsB,KAAKn3C,CAAC,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,KAAK,cAAc7B,EAAEC,EAAE,OAAO,KAAKF,CAAC,EAAE,IAAIkC,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKslC,EAAE,EAAE,IAAIpmC,EAAE,KAAK,OAAO,MAAM,EAAEC,EAAE,CAAC,EAAE,QAAQa,KAAKhC,EAAE,QAAQ2B,KAAK7B,EAAEkC,GAAG,CAAC,IAAIJ,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC,QAAQC,KAAKF,EAAE,aAAa,GAAGT,EAAE,QAAQW,CAAC,IAAI,GAAG,MAAM,IAAIwkC,GAAG,sDAAsDxkC,eAAeD,EAAE,qEAAqET,GAAG,EAAE,QAAQU,KAAKF,EAAE,cAAcT,EAAE,KAAKW,CAAC,EAAEV,EAAE,KAAKS,EAAE,IAAI,CAAC,CAAC,CAAC,KAAK,aAAa9B,EAAE,IAAI0E,EAAE,KAAK,OAAO,IAAIxC,GAAGA,EAAE,IAAI,EAAE,QAAQA,KAAKwC,EAAE,CAAC,IAAI7C,EAAE6C,EAAE,OAAO5C,GAAGA,IAAII,CAAC,EAAE,OAAO,GAAGL,IAAI,EAAE,MAAM,IAAI0kC,GAAG,aAAarkC,cAAcL,wEAAwE,KAAK,UAAU6C,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,IAAI8oC,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW,KAAK,OAAO,IAAItrC,GAAG,IAAI,EAAE,YAAY,KAAK,QAAQ,IAAIA,GAAG,IAAI,EAAE,YAAY,KAAK,OAAO,IAAIA,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,IAAIA,GAAGA,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,UAAU,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,cAAc,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,IAAIlE,EAAE,CAAC,qBAAqB,KAAK,qBAAqB,CAAC,EAAE,GAAG,EAAE,KAAK,YAAY,EAAE,CAAC,QAAQV,KAAK,KAAK,OAAOU,EAAE,sBAAsBV,EAAE,QAAQ,EAAE,qBAAqB,QAAQA,KAAK,KAAK,sBAAsBU,EAAE,sBAAsBV,EAAE,QAAQ,EAAE,oBAAoB,CAAC,OAAOU,EAAE,qBAAqB,KAAK,UAAUA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,QAAQV,GAAG,CAACA,EAAE,kBAAkB,QAAQ,GAAG,EAAE,UAAUU,CAAC,CAAC,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,KAAK,kBAAkB,OAAO,EAAE,MAAM,IAAIwoC,EAAE,sNAAsN,EAAE,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIxoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAOU,EAAEA,EAAE,OAAOV,EAAE,gBAAgB,EAAE,OAAOU,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAOU,EAAE,KAAK,GAAGV,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,OAAOA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOU,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,YAAYA,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEG,EAAE,EAAE,QAAQyB,KAAK,KAAK,OAAO,QAAQC,KAAKD,EAAE,QAAQ,CAAC,GAAG,EAAEC,EAAE,eAAe,KAAK,MAAM,IAAIqnC,EAAE,0BAA0BrnC,EAAE,cAAc,EAAE,EAAEA,EAAE,cAAcA,EAAE1B,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,GAAG,EAAEA,IAAI,KAAK,CAAC,IAAIE,EAAEF,EAAE,MAAM,GAAG,EAAEC,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,CAACA,EAAEA,EAAE,OAAO,EAAE,CAAC,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAED,IAAI,KAAKF,EAAE,KAAK,CAAC,EAAEE,GAAGnB,EAAEkB,EAAE,CAAC,UAAU5B,EAAE,MAAM,IAAIkpC,EAAE,gDAAgDtnC,GAAG,EAAE,OAAO,EAAEC,EAAE,CAAC,GAAG7B,EAAE,CAAC,IAAI4B,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAED,EAAE,KAAKC,CAAC,EAAE,GAAGD,EAAE,OAAO,EAAE,MAAM,IAAIsnC,EAAE,GAAGtnC,EAAE,aAAazB,0BAA0ByB,GAAG,CAAC,CAACouC,GAAGruC,CAAC,CAAC,CAAC,eAAe,CAAC,IAAIjB,EAAE,KAAK,UAAU,EAAEV,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,KAAK,aAAa,EAAEA,EAAE,OAAOU,EAAEV,EAAE,aAAa,eAAelB,KAAKkB,EAAE,QAAQ,gBAAgBA,CAAC,CAAC,OAAOU,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE07C,GAAG,KAAK,cAAc,CAAC,EAAE,OAAO17C,EAAE,KAAK,UAAU,CAAC,EAAE,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgpC,GAAGhpC,CAAC,EAAE,IAAI,EAAE,IAAIiwC,GAAG,QAAQxwC,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,EAAE,IAAI,KAAK,OAAOA,GAAGO,EAAEP,EAAE,EAAE,OAAO4wC,GAAG,KAAK,QAAQ,EAAE/wC,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgpC,GAAGhpC,CAAC,EAAE,IAAI,EAAE,OAAOV,GAAG,KAAK,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,EAAE,EAAEgpC,GAAG1pC,CAAC,EAAE,KAAK,iBAAiBU,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIV,EAAEyvC,GAAG/uC,CAAC,EAAE,GAAGV,EAAE,SAAS,KAAK,YAAY,OAAO,MAAM,IAAIkpC,EAAE,+BAA+BxoC,gBAAgB,KAAK,YAAY,uBAAuB,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE7B,EAAE,OAAO6B,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAG,EAAE7B,EAAE6B,GAAGW,EAAEV,EAAE,KAAK,OAAO,EAAEU,GAAG,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI0B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKqoC,EAAE,EAAE,GAAG/pC,EAAE,OAAO,EAAE,QAAQ0B,KAAK1B,EAAE,CAAC,IAAI2B,EAAE,KAAK,aAAaD,GAAG,QAAQ,KAAKC,EAAE,CAAC,IAAIU,EAAE,EAAE,cAAc,GAAG,KAAK,YAAY,IAAIsB,GAAGA,EAAE,EAAE,EAAE,QAAQtB,EAAE,EAAE,IAAI,GAAG,SAAS,IAAI,EAAE,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGsD,EAAE,EAAE,YAAYtD,GAAGc,EAAE,EAAE,cAAcd,GAAGS,EAAE,GAAGR,EAAE,QAAQqD,KAAKxC,IAAIJ,EAAE,EAAED,GAAG,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI9B,EAAEF,EAAE,mBAAmBinC,GAAG,CAAC,CAAC,EAAE9mC,EAAE8sC,GAAG/sC,CAAC,EAAEE,EAAEJ,EAAE,aAAa,QAAQ,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAI,CAAC,IAAIC,EAAE,GAAGvB,EAAE,QAAQI,KAAKkB,IAAI,EAAEC,GAAGpB,EAAEmB,EAAE,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAG,EAAE,KAAK,wBAAwBA,GAAGW,EAAE,KAAK,0BAA0BX,GAAG,EAAE,GAAGC,EAAE,QAAQ,KAAKU,IAAIZ,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,GAAG0nC,GAAGznC,KAAK,CAAC,EAAEH,EAAE,KAAK,EAAEG,EAAE,CAAC,CAAC,OAAO2nC,GAAG9nC,CAAC,CAAC,CAAC,iBAAiBjB,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,CAAC,IAAI,EAAE,KAAK,OAAOA,GAAGU,EAAE9B,EAAEoB,GAAG,EAAE9B,EAAE8B,GAAG,EAAE,EAAE,IAAI,CAACU,EAAE,CAAC,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI2B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKooC,EAAE,EAAE,QAAQpoC,KAAK3B,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa2B,GAAG,QAAQU,KAAK,EAAE,CAAC,IAAI,EAAEA,EAAE,cAAcE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,cAAcI,EAAE,IAAI,MAAM,QAAQkB,KAAKpB,EAAEoB,EAAE,MAAM,GAAGlB,EAAE,KAAK,EAAEkB,EAAE,GAAG,EAAE,GAAGlB,EAAE,SAASF,EAAE,OAAO,CAAC,IAAIoB,EAAE,CAAC,EAAEC,EAAEqD,EAAExC,EAAEL,EAAE,GAAG/B,EAAE,UAAU,OAAOsB,EAAEtB,EAAE,UAAUI,EAAE,SAAS,EAAE,CAAC,GAAG,CAAC4B,EAAEC,CAAC,EAAE7B,EAAE,GAAGkB,EAAE,MAAM,OAAOA,EAAE,KAAKW,GAAGG,EAAE8kC,GAAG,EAAE,KAAKllC,EAAEV,CAAC,CAAC,EAAES,EAAEmlC,GAAG,EAAE,YAAYllC,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAACS,CAAC,EAAE4C,EAAE,CAAC3C,CAAC,CAAC,MAAMV,EAAEnB,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAE4C,EAAExE,EAAE,IAAI4B,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,OAAOA,EAAE,KAAKsD,GAAGxC,EAAE8kC,GAAG,EAAE,KAAK3lC,EAAED,CAAC,CAAC,EAAES,EAAEmlC,GAAG,EAAE,YAAY3lC,EAAEqD,CAAC,CAAC,EAAE,GAAG,EAAE,oBAAoB,MAAM,IAAI+hC,GAAG,uHAAuH,EAAE,QAAQ3kC,EAAE,EAAEA,EAAE7B,EAAE,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE6B,GAAGE,EAAEE,EAAEJ,GAAGG,EAAEJ,EAAEC,GAAG,EAAEC,EAAE,IAAI,CAACC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhD,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,KAAK,KAAK,QAAQ,CAACynC,GAAGznC,EAAE,MAAM,EAAE,4BAA4BA,EAAE,UAAUA,EAAE,IAAI,EAAE,GAAG,CAAC,EAAEU,CAAC,EAAE,EAAEV,EAAE,IAAID,EAAE,KAAK,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKY,CAAC,CAAC,CAAC,MAAM,CAACb,EAAEC,EAAEC,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,QAAQG,KAAK,KAAK,OAAO,CAAC,EAAEA,aAAaw7C,GAAG,EAAE,EAAE,QAAQh6C,EAAE,EAAEA,EAAExB,EAAE,aAAa,OAAOwB,IAAI,CAAC,IAAIC,EAAE+5C,GAAG,QAAQx7C,EAAEwB,CAAC,EAAE,KAAK,eAAe,IAAIC,CAAC,IAAI5B,EAAE4B,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,OAAO5B,CAAC,CAAC,SAASU,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,KAAK,OAAO,QAAQA,EAAE,MAAM,IAAIkpC,EAAE,wCAAwClpC,yBAAyB,KAAK,OAAO,kBAAkB,EAAE,OAAO,KAAK,OAAOA,EAAE,SAASU,GAAG,KAAK,MAAM,IAAIwoC,EAAE,4CAA4C,EAAE,QAAQ,KAAK,KAAK,OAAO,GAAG,EAAE,OAAOxoC,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,kBAAkBxoC,GAAG,CAAC,CAAC,iBAAiB,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIkD,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAO,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,EAAE,EAAE,CAAC,IAAIG,EAAEw7C,GAAG,QAAQ37C,EAAE,CAAC,EAAE,KAAK,eAAe,IAAIG,CAAC,GAAGO,EAAE,KAAK,GAAGV,EAAE,gBAAgB,CAAC,CAAC,CAAC,OAAOU,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,KAAK,uBAAuB,KAAK,MAAM,EAAE,EAAE,CAAC,EAAE,QAAQ4B,KAAK,KAAK,OAAO,CAAC,IAAIC,EAAED,EAAE,aAAa,EAAEE,EAAEF,EAAE,UAAU,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,IAAI,CAAC,IAAIc,EAAEd,EAAE,aAAa,GAAGe,EAAEg5C,GAAG,QAAQ/5C,EAAE,CAAC,EAAEgB,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,IAAID,CAAC,EAAE,CAAC,GAAGD,EAAE,SAAS,GAAG,CAAC,KAAK,UAAUA,EAAE,QAAQ,EAAEE,EAAEF,EAAE,QAAQ,OAAOoB,EAAN,CAAS,QAAQ,KAAK,SAASlC,EAAE,uDAAuDc,EAAE,iHAAiH,EAAEE,EAAE,CAAC,CAAC,CAAC,GAAGF,EAAE,cAAc,OAAO,EAAE,CAAC,IAAIoB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAErB,EAAE,cAAc,OAAOqB,IAAI,CAAC,IAAIqD,EAAE1E,EAAE,cAAcqB,GAAGa,EAAElC,EAAE,YAAYqB,GAAGQ,EAAE7B,EAAE,cAAcqB,GAAGS,EAAEm3C,GAAG,QAAQv0C,EAAExC,CAAC,EAAEH,EAAEzE,EAAEwE,GAAGC,GAAG,OAAOA,EAAE,GAAGX,EAAE,KAAK,CAACsD,EAAE,KAAK3C,EAAEF,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,CAAC,IAAItB,EAAE,CAAC,EAAEA,EAAE,KAAKZ,EAAE,KAAKY,EAAE,UAAUX,EAAEW,EAAE,OAAOV,EAAEU,EAAE,aAAa,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC9B,EAAE,OAAO,EAAE,IAAIP,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,GAAGE,EAAE,KAAK,uBAAuBF,GAAG,EAAE+5C,GAAG,QAAQ95C,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAExC,EAAE,GAAGwC,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,yBAAyBZ,GAAGzB,EAAE,KAAK,CAAC0B,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC9B,EAAE,YAAYP,EAAE,IAAIwB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,GAAGE,EAAE,KAAK,wBAAwBF,GAAG,EAAE+5C,GAAG,QAAQ95C,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAExC,EAAE,GAAGwC,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,0BAA0BZ,GAAGD,EAAE,KAAK,CAACE,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO9B,EAAE,aAAaiB,EAAEjB,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,EAAE,CAAC,EAAEG,EAAE,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,SAASC,EAAEkC,EAAEqD,EAAE,CAACrD,EAAE,QAAQnC,EAAEA,EAAEmC,EAAE,MAAM,KAAKqD,CAAC,EAAExF,EAAEmC,EAAE,MAAM,CAACqD,CAAC,CAAC,CAAC,SAAStF,EAAEiC,EAAEqD,EAAE,CAAC,IAAIxC,EAAE,CAAC,EAAEL,EAAE,QAAQC,KAAK4C,EAAE,CAAC,IAAI3C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAEH,EAAE,GAAG,GAAGD,EAAEC,EAAE,IAAI,KAAK,CAAC,EAAEA,EAAE,GAAG,EAAEC,KAAK9C,GAAG,CAACE,EAAEkC,EAAEqD,CAAC,EAAE,MAAM,CAAC,IAAIvC,EAAElD,EAAE8C,GAAG,GAAGI,EAAE,aAAa,QAAQH,EAAE,CAAC7C,EAAEkC,EAAEqD,CAAC,EAAE,MAAM,CAAC,IAAIC,EAAExC,EAAE,aAAaH,GAAGE,EAAE,KAAKyC,EAAE,cAAc1C,EAAE,CAAC,CAACC,EAAE,OAAO,GAAGb,EAAE,MAAM0lC,GAAG7kC,CAAC,EAAEL,CAAC,CAAC,CAAC,SAAS,EAAER,EAAE,CAAC,IAAIqD,EAAErD,EAAE,KAAKa,EAAE2zC,GAAGx0C,EAAE/D,EAAE,eAAe,KAAKA,EAAE,cAAc,CAAC,CAAC,EAAE4E,EAAE,6BAA6BzE,CAAC,EAAEwB,EAAEyF,GAAGxC,EAAEb,EAAE,aAAa,QAAQS,GAAG,CAAC,GAAG,EAAEA,aAAa,OAAO,MAAM,IAAI0kC,EAAE,yDAAyD1kC,GAAG,EAAE3C,EAAE+C,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhC,EAAExC,EAAE,KAAK,EAAEA,EAAE,OAAO,QAAQ+D,KAAK,EAAE,EAAEA,CAAC,EAAE,KAAK,CAACqmC,GAAGxoC,CAAC,GAAG,QAAQmC,KAAK,EAAE,CAAC,IAAIqD,EAAEzF,EAAEoC,EAAE,MAAM,GAAGqD,EAAE,QAAQxF,EAAE,CAAC,IAAIgD,EAAEhD,EAAEwF,EAAE,MAAM,OAAOxF,EAAEwF,EAAE,MAAM,QAAQ7C,KAAKK,EAAE9C,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,CAAC,IAAI7B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE5C,EAAE,YAAY,QAAQ+D,KAAKnB,EAAE,CAAC,IAAIwE,EAAErD,EAAE,GAAGa,EAAEb,EAAE,GAAGQ,EAAER,EAAE,GAAGwlC,GAAGniC,KAAKzF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEyF,GAAG,aAAaxC,GAAG,cAAclC,EAAE,KAAK+B,EAAEF,EAAE,CAAC,CAAC,IAAIT,EAAE9D,EAAE,aAAa,QAAQ+D,KAAKD,EAAE,CAAC,IAAIsD,EAAErD,EAAE,GAAGa,EAAEb,EAAE,GAAGQ,EAAER,EAAE,GAAGwlC,GAAGniC,KAAKzF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEyF,GAAG,aAAaxC,GAAG,cAAcjC,EAAE,KAAK8B,EAAEF,EAAE,CAAC,CAAC,OAAO,IAAI7D,EAAE,CAAC,OAAOgC,EAAE,QAAQC,EAAE,KAAKH,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,GAAG,KAAK,UAAU,MAAM,IAAI0mC,EAAE,sLAAsL,EAAE,QAAQxoC,KAAK,KAAK,OAAO,GAAGA,EAAE,SAAS,MAAM,GAAG,MAAM,EAAE,CAAC,aAAa,CAAClD,EAAE,IAAI,CAAC,KAAK,OAAO,QAAQkD,GAAG,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASk7C,GAAG97C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,GAAGJ,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIK,GAAG,IAAI,EAAE,GAAGD,IAAI,EAAE,OAAO,MAAM,QAAQJ,CAAC,GAAGA,EAAE,SAAS,EAAEA,EAAE,OAAOA,GAAG,UAAU,EAAE,KAAKA,EAAE,CAACA,EAAE,EAAE,GAAG,EAAE,CAACA,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAASI,EAAE,MAAM,IAAI,MAAM,YAAYF,oBAAoBF,EAAE,wCAAwCI,0EAA0E,EAAE,OAAOJ,CAAC,SAAS,OAAOA,GAAG,UAAU,OAAO,KAAKA,CAAC,EAAE,OAAO,GAAG,OAAOA,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,SAAS,CAAC,IAAIK,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,KAAKL,EAAEK,EAAE,KAAKL,EAAE,EAAE,EAAEK,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEA,CAAC,KAAM,OAAM,IAAI,MAAM,2BAA2BD,kBAAkBF,kCAAkCE,gCAAgC,oBAAoBF,qBAAqB,KAAK,UAAUF,CAAC,GAAG,CAAC,CAAC,SAAS+7C,GAAG/7C,EAAE,EAAE,CAAC,OAAO87C,GAAG97C,EAAE,EAAE,aAAa,CAAC,CAAC,eAAeg8C,GAAGh8C,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAMA,GAAG,KAAK,MAAM,IAAI,MAAM,6CAA6C,EAAE,GAAGF,GAAG,KAAK,CAAC,IAAIG,EAAE3C,EAAE,IAAI,CAAC,GAAGsC,EAAE,MAAM,SAAS,EAAE,OAAO9Q,GAAG8Q,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,CAAC,GAAGA,EAAE,MAAM,GAAG,EAAE,OAAO1S,GAAG0S,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,OAAOtG,EAAEsG,EAAE,CAACA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,MAAM,wEAAwE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,EAAE,4EAA4E,CAAC,CAAC,EAAE,EAAE,MAAM,KAAK,MAAMK,EAAE,KAAK,CAAC,EAAErP,GAAGqP,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ0B,GAAG,CAAC,GAAG7B,EAAE6B,IAAI,KAAK,MAAM,IAAI,MAAM,wEAAwEA,6CAA6C,EAAE,EAAE,KAAK7B,EAAE6B,EAAE,CAAC,CAAC,EAAE7E,GAAG,EAAE,SAAS,CAAC,KAAM,QAAO,IAAI,CAAC,SAAS++C,GAAGj8C,EAAE,EAAE,CAAC,OAAOlJ,EAAEkJ,EAAE,CAAC,CAAC,CAAC,IAAIk8C,GAAG,GAAG,SAASC,GAAGn8C,EAAE,EAAE,CAAC,IAAIE,EAAEE,EAAEC,EAAE,EAAEH,EAAEG,EAAE,GAAGD,EAAEC,EAAE,GAAG7B,EAAE,OAAO0B,GAAG,MAAME,GAAG,KAAK,IAAI,mPAAmP,GAAG,EAAE,IAAI,EAAEg8C,GAAG,QAAQp8C,EAAE,WAAWE,CAAC,EAAE,EAAEk8C,GAAG,SAASp8C,EAAE,YAAYI,CAAC,EAAE2B,EAAE,EAAE,GAAG,MAAM,GAAGvD,EAAE,OAAO,EAAE,SAASwB,EAAE,OAAO,OAAO,IAAI,mBAAmBA,EAAE,OAAO,2CAA2C,EAAE,yCAAyC,KAAK,UAAUA,EAAE,UAAU,IAAI,EAAExB,EAAE,OAAO,EAAE,SAASwB,EAAE,QAAQ,OAAO,IAAI,mBAAmBA,EAAE,QAAQ,4CAA4C,EAAE,2CAA2C,KAAK,UAAUA,EAAE,WAAW,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIxD,EAAE,OAAO,EAAEwD,GAAG,MAAM,KAAKD,EAAE,IAAI,8BAA8B/B,EAAE,WAAWgC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoB/B,EAAE,WAAW,KAAK,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIxD,EAAE,OAAO,EAAEwD,GAAG,MAAM,KAAKD,EAAE,IAAI,+BAA+B/B,EAAE,YAAYgC,UAAU,EAAEA,GAAG,MAAM,iBAAiBD,oBAAoB/B,EAAE,WAAW,KAAK,EAAE,MAAM,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,SAASo8C,GAAGp8C,EAAE,EAAEE,EAAE,CAAC,GAAGA,aAAahU,GAAG,MAAM,CAACgU,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAO1B,EAAE,OAAO0B,EAAE,SAAS,EAAE,OAAO,IAAI,wBAAwBA,EAAE,gCAAgC,EAAE,uBAAuBF,UAAU,IAAI,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,GAAGH,EAAEG,IAAI,KAAK,MAAM,IAAI+oC,EAAE,gEAAgEppC,UAAUK,KAAK,EAAED,EAAE,KAAKF,EAAEG,EAAE,CAAC,CAAC,OAAOD,CAAC,CAAC,CAAC,SAASi8C,GAAGr8C,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIqpC,GAAG,wDAAwD,EAAE,MAAM,CAAC,GAAGrpC,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,eAAes8C,GAAGt8C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iBAAiB,KAAK,GAAG1B,EAAE,OAAOwB,EAAE,WAAW,KAAK,IAAI,gGAAgG,EAAExB,EAAE,OAAO0B,GAAG,KAAK,IAAI,+FAA+F,EAAE1B,EAAE,OAAO0B,EAAE,QAAQ,MAAMA,EAAE,OAAO,GAAG,OAAO,UAAUA,EAAE,MAAM,EAAE,IAAI,iFAAiFA,EAAE,QAAQ,EAAE1B,EAAE,OAAO,CAAC4B,GAAGF,EAAE,gBAAgB,GAAG,OAAO,UAAUA,EAAE,eAAe,EAAE,IAAI,uGAAuGA,EAAE,iBAAiB,EAAE1B,EAAE,OAAO0B,EAAE,iBAAiB,KAAK,IAAI,mFAAmF,EAAEF,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,GAAG,CAAC,IAAIK,EAAEH,EAAE,gBAAgB,KAAK,EAAE,EAAE,GAAGG,EAAE,GAAGk8C,GAAGr8C,EAAE,cAAc,EAAE1B,EAAE,OAAO0B,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,GAAG,OAAO,UAAUA,EAAE,iBAAiB,EAAE,IAAI,iJAAiJA,EAAE,mBAAmB,MAAM,CAAC,IAAI,EAAEm8C,GAAGn8C,EAAE,cAAc,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,IAAI6B,EAAE/B,EAAE,kBAAkB,EAAEgC,EAAEhC,EAAE,uBAAuB,EAAEiC,EAAE5B,EAAE4B,EAAED,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,EAAEC,EAAED,EAAE,MAAM,EAAE,IAAIU,EAAE41C,GAAGp4C,EAAE,UAAUA,EAAE,UAAU,EAAEyC,EAAEzC,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQ,CAAC,aAAa0C,EAAE,QAAQC,CAAC,EAAE21C,GAAG91C,EAAEC,EAAEzC,EAAE,OAAO,KAAK,KAAKs8C,GAAG,EAAEt8C,CAAC,EAAE,KAAKG,EAAE4B,CAAC,EAAEW,EAAE,SAAS5C,CAAC,EAAEA,EAAE,QAAQ6C,EAAE,MAAMD,EAAE,aAAa,EAAE5C,EAAE,cAAc,GAAG,IAAI8C,EAAE5C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAa8D,EAAE,MAAM,EAAE,SAAS,EAAE,KAAKlB,EAAE5C,EAAE,QAAQ,CAAC,IAAI,EAAE,CAAC,EAAE,MAAM0C,EAAE,aAAaE,CAAC,EAAE,IAAIwE,EAAE,EAAE,EAAE,EAAE,IAAIlH,IAAI4D,EAAE,MAAM,EAAE,SAAS,GAAG,CAAC5D,GAAGkH,EAAEpH,EAAE,iBAAiB,CAAC,IAAIuE,EAAE,MAAMT,EAAE,KAAK,EAAE,GAAG5D,GAAGqE,EAAE,KAAK,CAAC,QAAQ,KAAK,uCAAuCvE,EAAE,oEAAoEoH,2IAA2IpH,EAAE,gBAAgBA,EAAE,wFAAwF,EAAE,KAAK,CAAC,GAAGuE,EAAE,OAAO,KAAK,CAAC,GAAG,CAAC,GAAGC,EAAE,GAAGC,CAAC,EAAEw3C,GAAGn8C,EAAEyE,EAAE,KAAK,EAAEG,EAAE,CAAC,EAAEA,EAAE,MAAM,EAAEA,EAAE,KAAKF,EAAE,GAAG,MAAM,GAAG,MAAM9B,EAAE,aAAa,EAAEgC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG3E,EAAE,aAAa,KAAK,CAAC,IAAI8E,EAAE+2C,GAAG77C,EAAE,YAAYF,EAAE,WAAW,EAAE,QAAQiF,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAEJ,EAAE,KAAK,MAAMm3C,GAAGr3C,EAAEM,GAAG,KAAKD,EAAEC,EAAE,CAAC,CAAC,CAAC,IAAIF,EAAEL,EAAE,OAAOC,CAAC,EAAE,OAAOE,CAAC,EAAE0C,EAAExF,EAAEgD,CAAC,EAAE/T,GAAG+T,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEhD,EAAE,OAAO,EAAEgD,EAAE,CAAC,IAAIC,EAAEjD,EAAEgD,GAAGE,EAAEqC,EAAEvC,GAAGJ,EAAEK,GAAGC,EAAE9Q,GAAG8Q,CAAC,CAAC,CAAC,MAAMtC,EAAE,WAAW,EAAEgC,CAAC,EAAEqzC,GAAGrzC,CAAC,EAAE,IAAI0C,GAAG,CAAC,GAAGlH,EAAEkH,GAAGpH,EAAE,gBAAgBuE,EAAE,KAAK,CAAC,GAAGpE,EAAE,CAAC,IAAIqE,EAAE63C,GAAGr8C,EAAE,cAAc,EAAEwE,EAAEklC,GAAG,MAAM5pC,EAAE,gBAAgBE,EAAE,eAAe,CAAC,QAAQA,EAAE,iBAAiB,CAAC,CAAC,EAAEwE,EAAEklC,GAAG5pC,EAAE,SAAS,EAAE,EAAE,CAAC,UAAUE,EAAE,qBAAqB,KAAKg8C,GAAGh8C,EAAE,oBAAoB,QAAQ,CAAC,CAAC,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAE3E,EAAE,aAAa,OAAO,EAAE2E,EAAE,EAAE,OAAO3E,EAAE,aAAa2E,MAAMD,EAAEC,EAAE,CAAC,KAAK,CAAC,GAAG3E,EAAE,cAAc,KAAK,CAAC,GAAG,MAAM4C,EAAE,WAAWE,EAAE,CAAC,EAAEA,IAAI9C,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM4C,EAAE,WAAW,EAAE,MAAM5C,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,QAAC,CAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,SAASw8C,GAAGx8C,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,iBAAiB,KAAKA,EAAE,EAAE,gBAAgB,OAAO,SAASF,EAAE,IAAI,IAAIE,EAAEF,EAAE,MAAME,CAAC,CAAC,SAASq8C,GAAGv8C,EAAE,CAAC,OAAO,OAAOA,EAAE,UAAU,UAAU,CAAC,SAASy8C,GAAGz8C,EAAE,CAAC,OAAO,OAAOA,EAAE,MAAM,UAAU,CAAC,eAAe08C,GAAG18C,EAAE,EAAEE,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIE,EAAEF,EAAE,SAAS,KAAKG,EAAEL,EAAE,aAAa,EAAE,CAAC,EAAE,GAAGE,EAAE,QAAQ,EAAE,MAAM,IAAImpC,GAAG,sCAAsC,EAAE7qC,EAAE,OAAO,CAAC4B,GAAGF,EAAE,QAAQ,GAAG,OAAO,UAAUA,EAAE,OAAO,EAAE,IAAI,wEAAwE,KAAK,UAAUA,EAAE,OAAO,GAAG,EAAE,IAAI,EAAEu8C,GAAG,CAAC,EAAE,EAAE,MAAM,EAAE,SAAS,EAAE16C,EAAE,EAAEC,EAAE,EAAE,KAAK,CAAC5B,GAAG4B,EAAE9B,EAAE,SAAS,CAAC,IAAI+B,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG,EAAEvE,EAAE,IAAI,CAAC,GAAGuE,EAAE,MAAM,CAAC,GAAG,CAAC,GAAGS,EAAE,GAAGC,CAAC,EAAEw5C,GAAGn8C,EAAEiC,EAAE,KAAK,EAAEW,EAAEF,EAAE,OAAOC,CAAC,EAAEE,EAAEnF,EAAE,IAAI2C,EAAEuC,CAAC,CAAC,EAAE,GAAG5R,GAAG4R,CAAC,EAAEZ,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,EAAE,KAAK7J,GAAG,CAAC,CAAC,EAAE,IAAI2I,EAAEF,EAAE,GAAG,MAAM,GAAG,QAAQoB,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAI,EAAEnB,EAAEmB,GAAGsD,EAAE,EAAEtD,GAAG,EAAEA,GAAGtG,EAAE,IAAIxQ,EAAE,EAAE8W,GAAGlN,EAAEgM,EAAE,CAAC,CAAC,CAAC,EAAEd,EAAE,GAAGhR,GAAGsW,CAAC,CAAC,CAACtW,GAAG6R,CAAC,EAAEd,GAAGe,EAAE,EAAEd,CAAC,CAAC,OAAO,CAAC,CAAC,EAAEC,EAAE,KAAK,CAAC7B,GAAG,QAAQ,KAAK,gLAAgLF,EAAE,yFAAyF,EAAE,KAAK,CAAC,CAAC,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIS,EAAE,EAAET,GAAG,EAAEA,GAAG/Q,GAAG,EAAE+Q,GAAGF,CAAC,EAAE/Q,GAAG0R,CAAC,CAAC,CAAC,OAAOinC,GAAG,CAAC,CAAC,CAAC,SAASgT,GAAG38C,EAAE,CAACxB,EAAE,OAAOwB,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,2DAA2DA,GAAG,CAAC,CAAC,SAAS48C,GAAG58C,EAAE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAII,GAAG6sC,GAAG7sC,EAAE,EAAEF,EAAE,CAAC,CAAC,EAAE+sC,GAAGjtC,EAAE,EAAEE,EAAE,CAAC,CAAC,CAAC,SAAS28C,GAAG78C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIsC,GAAG,KAAK,KAAK,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIE,GAAG28C,GAAG38C,EAAE,CAAC,CAAC,EAAEutC,GAAGztC,EAAE,EAAE,QAAQ,QAAQ,EAAEjR,GAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS+tD,GAAG98C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,EAAEC,EAAE,KAAK,KAAKD,EAAEJ,GAAGK,EAAED,EAAE,EAAEC,GAAGL,IAAIK,EAAEL,GAAGE,EAAE,KAAK,CAACE,EAAEC,CAAC,CAAC,EAAED,EAAEC,EAAE,OAAOH,CAAC,CAAC,SAAS68C,GAAG/8C,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEA,aAAa9T,KAAK8T,EAAE,CAACA,CAAC,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,GAAG,GAAGE,EAAE,OAAO,EAAE,EAAE,KAAKwsC,GAAGxsC,EAAE,CAAC,CAAC,MAAM,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uEAAuE,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS48C,GAAGh9C,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAIE,EAAE,CAAC,EAAE,GAAG,aAAahU,GAAGgU,EAAE,KAAK,EAAE,EAAE,UAAU,MAAM,QAAQ,CAAC,EAAE,EAAE,QAAQG,GAAGH,EAAE,KAAKG,EAAE,EAAE,CAAC,UAAU,GAAG,KAAK,QAAQA,KAAK,EAAE,CAAC,IAAI,EAAE,EAAEA,GAAGH,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGJ,aAAa9T,GAAGgU,EAAE,QAAQF,EAAE,EAAE,IAAI,IAAII,EAAE,KAAKJ,CAAC,UAAU,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQK,GAAG,CAACH,EAAE,QAAQG,EAAE,EAAE,IAAI,IAAID,EAAE,KAAKC,CAAC,CAAC,CAAC,UAAUL,GAAG,KAAK,QAAQK,KAAKL,EAAE,CAAC,IAAI,EAAEA,EAAEK,GAAGH,EAAE,QAAQ,EAAE,EAAE,IAAI,IAAIE,EAAE,KAAK,CAAC,CAAC,CAACA,EAAE,QAAQC,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,SAAS48C,GAAGj9C,EAAE,CAAC,OAAOA,aAAa9T,EAAE,CAAC,SAASgxD,GAAGl9C,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,CAAC,CAAC,SAASm9C,GAAGn9C,EAAE,CAAC,MAAM,CAACi9C,GAAGj9C,CAAC,GAAG,CAACk9C,GAAGl9C,CAAC,CAAC,CAAC,SAASo9C,GAAGp9C,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,GAAG,CAAC,GAAG,GAAG,MAAM,EAAE,SAAS,EAAE,CAAC,GAAGL,GAAG,KAAK,CAAC,IAAI,EAAE,GAAG,GAAGk9C,GAAGl9C,CAAC,GAAGA,EAAE,OAAO,EAAE,EAAE,WAAWm9C,GAAGn9C,CAAC,GAAG,QAAQ+B,KAAK/B,EAAE,GAAGA,EAAE,eAAe+B,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,GAAG,GAAG,EAAE,MAAM,IAAIqnC,EAAE,6BAA6B/oC,+BAA+BL,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAGA,GAAG,KAAK,OAAO,EAAE,IAAI,GAAG,IAAI,EAAE,IAAI,EAAE,GAAGm9C,GAAGn9C,CAAC,EAAE,CAACA,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQ,KAAK,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAIopC,EAAE,yBAAyB,kCAAkC,GAAG,EAAE,EAAE,KAAKppC,EAAE,EAAE,CAAC,CAAC,SAASk9C,GAAGl9C,CAAC,EAAE,CAAC,GAAGA,EAAEA,EAAEA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIopC,EAAE,6BAA6B/oC,kHAAkH,EAAE,sEAAsEL,GAAG,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAGA,EAAEA,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,aAAa/oC,aAAa,EAAE,4EAA4EL,EAAE,OAAO,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAG,EAAE+8C,GAAG,CAAC,EAAE78C,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI6B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS7B,EAAE,GAAG,OAAO,MAAM,IAAIkpC,EAAE,uBAAuB/oC,eAAe,EAAE,cAAcH,EAAE,GAAG,iDAAiD6B,EAAE,OAAO,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,GAAG,OAAO,EAAE8B,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAExC,EAAE,GAAG8B,GAAG,GAAGU,GAAG,MAAMA,GAAG,GAAGT,IAAIS,EAAE,MAAM,IAAI0mC,EAAE,GAAG/oC,gEAAgEH,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,4BAA4BA,EAAE,GAAG,MAAM,EAAEA,EAAE,GAAG,MAAM,eAAeG,4BAA4B0B,EAAE,MAAM,iCAAiCA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,MAAM,qBAAqBA,EAAE,SAAS,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASs7C,GAAGr9C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEiqC,GAAGrqC,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAEI,EAAE,KAAK,EAAE,IAAIC,EAAEgqC,GAAG,EAAE,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGhqC,EAAE,KAAK,EAAED,EAAE,OAAO,EAAE,MAAM,IAAIgpC,EAAE,mFAAmF,KAAK,UAAUppC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGK,EAAE,OAAO,EAAE,MAAM,IAAI+oC,EAAE,oFAAoF,KAAK,UAAU,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGhpC,EAAE,OAAO,GAAGC,EAAE,OAAO,GAAG,CAAC7B,EAAE,YAAY4B,EAAEC,CAAC,EAAE,MAAM,IAAI+oC,EAAE,iFAAiFhpC,EAAE,0BAA0BC,EAAE,sBAAsB,CAAC,CAAC,SAASi9C,GAAGt9C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAACu4C,GAAGW,GAAGH,EAAE,EAAE,QAAQ94C,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,GAAG,EAAE,EAAEA,GAAG0B,EAAE7B,EAAEG,GAAG,GAAG,GAAG,KAAK,CAAC,GAAG,IAAI84C,IAAI,EAAE,MAAM,EAAE,MAAM,OAAO,KAAK,EAAE,MAAM,IAAI/P,EAAE,2CAA2C,EAAE,+JAA+J,EAAE,GAAGhpC,EAAE,QAAQ,CAAC,IAAI,GAAG,CAAC,IAAI4B,EAAE,EAAE,MAAM,MAAM,CAAC,EAAEC,EAAEF,EAAE,MAAM,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAIC,EAAEX,EAAEU,GAAGE,EAAEX,EAAES,GAAG,GAAGE,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIwmC,EAAE,8BAA8B,EAAE,2CAA2CrnC,2FAA2F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw7C,GAAGv9C,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQL,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIopC,EAAE,6BAA6B/oC,sHAAsH,EAAE,qCAAqCL,EAAE,oBAAoB,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,qBAAqB,EAAE,UAAU/oC,oEAAoE,KAAK,UAAUL,EAAE,KAAK,IAAI,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAGE,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,IAAI,KAAK,SAAS,IAAI6B,EAAE,EAAE,GAAG,GAAGA,EAAE,MAAM,SAAS7B,EAAE,GAAG,OAAO,MAAM,IAAIkpC,EAAE,uBAAuB/oC,eAAe,EAAE,cAAcH,EAAE,GAAG,iDAAiD,KAAK,UAAU6B,EAAE,KAAK,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,GAAG,OAAO,EAAE8B,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,GAAGU,EAAExC,EAAE,GAAG8B,GAAG,GAAGU,GAAG,MAAMA,IAAIT,EAAE,MAAM,IAAImnC,EAAE,uBAAuB/oC,eAAe,EAAE,oBAAoB,KAAK,UAAUH,EAAE,EAAE,8BAA8B,KAAK,UAAU6B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,SAASy7C,GAAGx9C,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAII,GAAG,CAAC,CAAC,EAAE,IAAIF,EAAE,GAAG,OAAOF,GAAG,UAAU,OAAOA,GAAG,WAAWE,EAAE,CAACF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,SAASE,EAAEF,MAAO,OAAM,IAAI,UAAU,kGAAkGA,GAAG,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE,OAAO,EAAE,IAAIE,GAAGF,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,IAAI,EAAEH,EAAE,eAAeG,CAAC,EAAEH,EAAEG,GAAG,CAAC,EAAE,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGD,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,CAAC,IAAIq9C,GAAG,eAAe33D,GAAG,cAAc+1D,EAAE,CAAC,YAAYj7C,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAW,EAAE,CAAC,QAAQA,EAAEV,EAAE,EAAE,QAAQ,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIkpC,EAAE,8KAA8K,EAAEgS,GAAG,KAAKx6C,EAAEV,EAAE,CAAC,CAAC,CAAC,QAAQU,EAAE,CAAC,GAAGA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,KAAK,KAAKA,EAAE,KAAK,OAAOA,EAAE,WAAW,SAAS,KAAK,WAAWq6C,GAAGr6C,EAAE,SAAS,EAAE,KAAK,iBAAiB,OAAO,CAAC,GAAG,EAAEA,EAAE,qBAAqBzY,IAAI,MAAM,IAAIihD,EAAE,6DAA6D,EAAE,KAAK,WAAWxoC,EAAE,UAAU,KAAK,iBAAiB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,GAAG,CAAC,MAAM,QAAQU,EAAE,IAAI,GAAG,OAAOA,EAAE,MAAM,UAAU,OAAOA,EAAE,MAAM,WAAW,CAACA,EAAE,KAAKA,EAAE,KAAK,QAAQkB,KAAKlB,EAAE,KAAK,GAAG,KAAK,YAAY,QAAQkB,CAAC,IAAI,GAAG,MAAM,IAAIsnC,EAAE,sCAAsCtnC,yCAAyC,KAAK,aAAa,EAAE,QAAQA,KAAK,KAAK,YAAYlB,EAAE,KAAKkB,IAAI,MAAM,QAAQ,KAAK,WAAWA,6HAA6HA,mBAAmB,EAAE5B,EAAE,KAAKy5C,GAAG/4C,EAAE,KAAKkB,EAAE,CAAC,CAAC,SAAS,MAAM,QAAQlB,EAAE,IAAI,EAAE,CAAC,GAAGA,EAAE,KAAK,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,2FAA2F,KAAK,QAAQ,yCAAyCxoC,EAAE,OAAO,EAAEV,EAAEU,EAAE,KAAK,IAAImB,GAAG43C,GAAG53C,CAAC,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE63C,GAAG/4C,EAAE,IAAI,EAAE,KAAK,QAAQ,QAAQmB,GAAG,CAAC7B,EAAE,KAAK4B,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc5B,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,QAAQ4B,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,qBAAqBD,GAAGE,EAAE,KAAK,YAAYF,GAAG,KAAK,gBAAgB,KAAKE,CAAC,EAAE,KAAK,iBAAiB,KAAKD,CAAC,EAAE,KAAK,YAAY,KAAK,KAAK,cAAcD,EAAE,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,QAAQlB,EAAE,QAAQ,KAAK,aAAa,CAAC,MAAM,EAAE,KAAK,eAAe,CAAC,EAAEirC,GAAG,OAAO,IAAI,CAAC,QAAQ/pC,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE,KAAK,cAAcD,GAAG,KAAK,QAAQ,OAAO,IAAI,KAAK,eAAe,KAAK,CAACC,EAAED,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,YAAYA,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,IAAIzB,EAAEm9C,GAAG58C,EAAE,QAAQ,KAAK,WAAW,EAAEiB,EAAE,CAACC,EAAEC,EAAEC,IAAI,CAAC,KAAK,YAAY,OAAO,IAAID,EAAE,KAAK,YAAYD,GAAG,IAAIC,GAAG,KAAK,aAAa,KAAKA,CAAC,EAAE,KAAK,eAAe,KAAK,CAACC,EAAEF,CAAC,CAAC,CAAC,EAAE+pC,GAAG,SAAS,IAAI,CAAC,QAAQ/pC,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE1B,EAAEyB,IAAIG,GAAG,CAAC,IAAIS,EAAE,GAAGC,EAAEC,EAAEC,EAAE,QAAQC,KAAKb,EAAE,CAAC,GAAG,OAAOa,GAAG,UAAU,CAAC,WAAW,MAAM,eAAe,IAAI,EAAE,QAAQA,CAAC,IAAI,GAAG,CAAC,IAAImB,EAAE,KAAK,qBAAqBnC,GAAGmC,EAAEA,EAAE,OAAO,KAAK,GAAG,KAAK,cAAcnC,KAAKw3C,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQx2C,CAAC,IAAI,GAAGF,EAAEg3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ92C,CAAC,IAAI,KAAKF,EAAEu3C,IAAI,KAAK,cAAcr4C,KAAKs3C,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQt2C,CAAC,IAAI,GAAGF,EAAEw3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQt3C,CAAC,IAAI,KAAKF,EAAEi4C,IAAI,CAAC,WAAW,KAAK,EAAE,QAAQ/3C,CAAC,IAAI,GAAGF,EAAEi3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ/2C,CAAC,IAAI,KAAKF,EAAE+3C,IAAI,IAAIrzC,EAAE,CAAC,WAAW,KAAK,EAAE,QAAQxE,CAAC,IAAI,GAAGwE,EAAE,MAAM,CAAC,eAAe,IAAI,EAAE,QAAQxE,CAAC,IAAI,KAAKwE,EAAE,MAAMzE,EAAED,EAAED,EAAED,EAAE4E,CAAC,MAAMzE,EAAEk4C,GAAGj4C,CAAC,EAAEH,EAAED,EAAEs4C,GAAGl4C,CAAC,EAAE,IAAI,EAAE+oC,GAAGlpC,EAAE,IAAI,CAAC,EAAEE,CAAC,CAAC,EAAEhB,EAAEC,EAAEa,EAAE,CAAC,CAAC,CAAC,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,0BAA0B,KAAK,gBAAgB,CAAC,kCAAkC,CAAC,KAAK,2BAA2B,MAAM,KAAK,iBAAiB,SAAS,KAAK,0BAA0B,QAAQ,QAAQ,KAAK,mJAAmJ,CAAC,CAAC,SAASnB,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAUs8C,GAAGt8C,CAAC,EAAE,IAAIwB,EAAE,GAAGC,EAAE,KAAK,sBAAsBlB,EAAEV,EAAE2B,EAAExB,CAAC,EAAE,GAAG,CAAC,IAAI0B,EAAED,EAAE,GAAG,OAAOA,EAAE,EAAE,EAAE,KAAK,iBAAiB,EAAE,IAAIE,EAAE,KAAK,aAAa,EAAE,KAAK,SAASA,EAAED,EAAE1B,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,OAAOspC,GAAG,CAAC,CAAC,QAAC,CAAQqT,GAAGl7C,EAAE,GAAGlB,CAAC,EAAEo8C,GAAGl7C,EAAE,GAAG5B,CAAC,CAAC,CAAC,CAAC,MAAM,gBAAgBU,EAAEV,EAAE,CAAC,OAAO,KAAK,iBAAiB,EAAEw8C,GAAG,KAAK97C,EAAEV,CAAC,CAAC,CAAC,gBAAgBU,EAAEV,EAAE,EAAEG,EAAE,QAAQ,CAAC,IAAIwB,EAAE,GAAG,GAAG,MAAM,GAAGA,EAAE,KAAK3B,GAAG,KAAK,MAAM,IAAIkpC,EAAE,MAAM/oC,iEAAiEH,GAAG,UAAUU,GAAG,KAAK,MAAM,QAAQA,CAAC,EAAEiB,EAAEjB,EAAE,GAAG,MAAM,GAAGiB,EAAEjB,EAAE,MAAM,OAAQ,OAAM,IAAIwoC,EAAE,yDAAyD/oC,uBAAuB,EAAE,OAAOwB,CAAC,CAAC,QAAQjB,EAAEV,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIkpC,EAAE,oDAAoD,EAAE,IAAI,EAAE,MAAM,QAAQlpC,CAAC,EAAEG,EAAE,EAAEH,EAAE,CAACA,CAAC,EAAE2B,EAAE,KAAK,wBAAwBxB,CAAC,EAAEyB,EAAE,IAAI+uC,GAAG,GAAGjwC,aAAa1U,KAAK0U,EAAE,CAACA,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIwoC,EAAE,kCAAkCxoC,EAAE,8DAA8D,KAAK,OAAO,UAAU,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAEF,EAAE,IAAI,KAAK,OAAOE,GAAGpB,EAAEoB,EAAE,CAAC,KAAM,SAAQA,KAAK,KAAK,OAAO,CAAC,IAAI,EAAEpB,EAAEoB,EAAE,MAAM,GAAG,GAAG,KAAK,MAAM,IAAIonC,EAAE,8CAA8CpnC,EAAE,MAAM,EAAEF,EAAE,IAAIE,EAAE,CAAC,CAAC,CAAC,IAAID,EAAEkvC,GAAGpvC,EAAEC,CAAC,EAAE,OAAO,EAAEC,EAAEA,EAAE,EAAE,CAAC,wBAAwBnB,EAAE,CAAC,IAAIV,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,EAAE,EAAEA,EAAE,OAAO,QAAQP,KAAK,KAAK,OAAO,CAAC,IAAIwB,EAAE,MAAM,QAAQxB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAACA,EAAE,MAAM,EAAEyB,EAAED,EAAE,IAAIE,GAAGA,EAAE,IAAI,EAAE,QAAQA,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAIC,EAAEF,EAAE,QAAQlB,EAAEmB,EAAE,EAAE,GAAGC,IAAI,KAAK9B,EAAE6B,GAAGF,EAAEG,GAAG,KAAK,IAAI,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,EAAE,EAAE,CAAC,IAAI3B,EAAE,CAAC,EAAE,MAAMH,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAACD,GAAG,MAAMxB,EAAE,KAAKO,EAAEkB,EAAE,CAAC,CAAC,EAAE,IAAIsnC,EAAE,mDAAmD,KAAK,UAAU/oC,CAAC,GAAG,CAAC,CAAC,OAAOH,CAAC,CAAC,YAAYU,EAAEV,EAAE,GAAG,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI2C,EAAE,KAAK,gBAAgBO,CAAC,EAAE,GAAG,EAAE,MAAM,IAAIyoC,GAAG,+CAA+C,EAAE,IAAIxnC,EAAEi7C,GAAGz8C,EAAEH,CAAC,EAAE4B,EAAE,KAAK,QAAQ,IAAIC,GAAG,CAAC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAErE,EAAE,IAAI,CAAC,IAAIuE,EAAEJ,EAAEE,GAAG,GAAGW,EAAEb,EAAEE,GAAG,GAAGY,EAAEi6C,GAAGh8C,EAAEqB,EAAES,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAG,MAAM,QAAQD,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAEF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAOE,GAAG,MAAMH,EAAEG,EAAE,CAAC,OAAOF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMD,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAIguC,GAAGjuC,CAAC,EAAE,OAAOquC,GAAG,KAAK,QAAQpuC,CAAC,CAAC,CAAC,EAAE,QAAQ,CAACZ,EAAES,IAAIZ,EAAEY,GAAG,KAAKT,CAAC,CAAC,EAAE,OAAO0nC,GAAG7nC,EAAE,IAAIC,GAAG3S,GAAG2S,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQnB,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE68C,GAAGn8C,CAAC,EAAE28C,GAAG,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,GAAG,CAAC,IAAIl9C,EAAEH,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,OAAOy8C,GAAGt8C,CAAC,EAAE,KAAK,YAAY,EAAEA,CAAC,CAAC,QAAC,CAAQ28C,GAAG,EAAEp8C,CAAC,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC28C,GAAG38C,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,IAAIV,GAAG,MAAM,QAAQU,CAAC,EAAEA,EAAE,GAAGA,GAAG,MAAM,GAAG,OAAO,KAAK,YAAYA,EAAEV,CAAC,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,GAAGG,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI8oC,GAAG,8FAA8F,EAAE,IAAItnC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,iBAAiB,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,iBAAiBD,GAAG,KAAK,YAAYA,KAAKs3C,GAAGv3C,EAAE,KAAKE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,GAAGnB,EAAEw8C,GAAGx8C,EAAE,KAAK,eAAe,KAAK,gBAAgB,GAAG,OAAO,EAAEV,EAAEk9C,GAAGl9C,EAAE,KAAK,gBAAgB2B,EAAE,GAAG,QAAQ,EAAEw7C,GAAGz8C,EAAEV,EAAE,IAAI,EAAEo9C,GAAGp9C,EAAE,KAAK,YAAY,KAAK,gBAAgB,EAAE,KAAK,UAAUG,GAAG,MAAMA,EAAE,GAAGO,EAAE,GAAG,MAAM,GAAGP,IAAI,EAAE,MAAM,IAAI+oC,EAAE,mHAAmH/oC,aAAaO,EAAE,GAAG,MAAM,eAAe,EAAE,MAAM,CAACA,EAAEV,CAAC,CAAC,CAAC,MAAM,oBAAoBU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAGC,EAAE,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE,KAAK,sBAAsBpB,EAAEV,EAAE2B,EAAEC,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqC,EAAE,IAAI,EAAE,KAAK,GAAGzB,GAAG,KAAK,CAAC,IAAIqC,EAAEq5C,GAAG17C,EAAE,KAAK,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEqC,EAAE,OAAO,EAAE,EAAE,EAAE,KAAK,MAAMs5C,GAAGh6C,EAAE,GAAG,KAAKU,EAAE,EAAE,CAAC,CAAC,CAAC,MAAM,CAACX,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASpB,EAAEV,EAAE,EAAEG,EAAE,EAAEwB,EAAE,CAAC,OAAOnE,EAAE,IAAI,CAAC,IAAIoE,EAAE,KAAK,gBAAgB5B,EAAE,EAAE2B,EAAE,OAAO,EAAEE,EAAE,CAAC,EAAE,GAAG1B,EAAE,EAAE,MAAM,IAAIgpC,GAAG,sCAAsC,EAAE,GAAGxnC,GAAG,KAAK,MAAM,IAAIwnC,GAAG,iDAAiD,EAAE,CAAC,IAAIrnC,EAAE86C,GAAGh7C,EAAE,CAAC,EAAE,EAAE5E,GAAGqvC,GAAG,EAAEzqC,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAI,EAAEV,EAAEU,GAAG,GAAGE,EAAEZ,EAAEU,GAAG,GAAGG,EAAEoqC,GAAG,EAAE,EAAErqC,EAAE,CAAC,EAAEE,EAAE+5C,GAAG38C,EAAE2C,CAAC,EAAEmB,EAAEpD,EAAEkC,CAAC,EAAE,GAAGJ,IAAI,EAAE,QAAQuB,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAElC,EAAE,KAAK5H,GAAG,CAAC,CAAC,EAAE,QAAQ8J,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAIqD,EAAEtD,EAAEC,GAAGlC,EAAEkC,GAAG/W,EAAE6U,EAAEkC,GAAGnN,EAAE8L,EAAE,EAAE0E,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQ5E,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAEX,EAAEW,GAAGxR,GAAG6Q,EAAEW,GAAGZ,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,IAAInB,EAAE,KAAK,aAAaV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEU,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIP,EAAEO,EAAE,GAAGiB,EAAExB,EAAE,GAAGqpC,GAAG9oC,EAAEP,CAAC,EAAE,EAAE,CAAC,IAAIyB,EAAE4nC,GAAG9oC,EAAE,MAAM,EAAE,CAAC,EAAEP,CAAC,EAAEwB,GAAG,IAAIC,GAAG,CAAC5B,EAAE,KAAK2B,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,mBAAmB,CAAC,OAAOU,GAAG,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAEU,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEP,EAAEO,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,EAAEkB,EAAE,CAAC,EAAEC,EAAE,IAAI,CAAC,IAAIY,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAM,EAAE,EAAE,CAAC,EAAE,IAAIC,EAAE,IAAIiuC,GAAGluC,CAAC,EAAEE,EAAEouC,GAAG,KAAK,QAAQruC,EAAE,CAAC,SAAS,EAAE,CAAC,EAAEE,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAImB,EAAE,KAAK,cAAc,GAAGqD,EAAErD,EAAE5D,EAAE,GAAGwC,EAAE,EAAE,EAAEhB,EAAE,IAAI,OAAOyF,EAAE20C,GAAG30C,EAAEzF,EAAE,EAAE,GAAG,IAAIiD,EAAE5O,GAAGoR,CAAC,EAAEpH,EAAE,KAAK4E,CAAC,EAAE,IAAI,EAAEhC,EAAEwE,EAAExE,EAAE5V,EAAE4V,EAAEwE,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIrD,EAAE,GAAG,KAAK,QAAQ,OAAO,GAAG,EAAE,KAAK,QAAQ,OAAOA,EAAE/D,EAAE,OAAO,CAAC,IAAIoH,EAAE,KAAK,eAAe,GAAG,GAAGxC,EAAE,KAAK,eAAe,GAAG,GAAGb,EAAE/N,GAAGoR,EAAEjH,EAAEyE,GAAGjC,EAAEiC,EAAE,CAAC,CAAC,CAAC1Q,GAAG6P,CAAC,EAAEnC,EAAE,KAAKmC,CAAC,CAAC,CAAC,OAAOnB,EAAE5M,GAAG4M,CAAC,EAAE,KAAK,gBAAgB,EAAE,QAAQ,GAAG,CAACA,EAAE5V,EAAE4V,EAAE,CAAC,CAAC,CAAC,EAAEA,CAAC,EAAEd,EAAE,KAAK,0BAA0B,IAAIW,GAAGA,EAAE,KAAK,CAAC,EAAE,EAAE,GAAG,MAAM,CAAC,KAAK,WAAW,SAASZ,EAAE,EAAEC,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,CAAC,CAAC,kBAAkB,CAAC,KAAK,aAAalB,GAAGlD,EAAE,IAAI,CAAC,IAAIwC,EAAE,CAAC,EAAE,EAAEG,EAAEO,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEkB,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,GAAG,MAAMzB,EAAE,EAAE,CAAC,EAAE,IAAI0B,EAAE,IAAI8uC,GAAG/uC,CAAC,EAAEE,EAAEivC,GAAG,KAAK,QAAQlvC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAIW,EAAE,KAAK,cAAc,GAAG,EAAExM,GAAGwM,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE9U,EAAE,EAAE,CAAC,EAAEgT,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIwC,EAAE,KAAK,eAAe,GAAG,GAAG,EAAE,KAAK,eAAe,GAAG,GAAGE,EAAE1M,GAAGwM,EAAEb,EAAE,GAAGG,EAAE,EAAE,CAAC,EAAE9B,EAAE,KAAK0C,CAAC,CAAC,CAAC,OAAO1C,CAAC,CAAC,CAAC,CAAC,MAAM,IAAIU,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAE,KAAK,WAAW,GAAG,IAAIG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAU85C,GAAG95C,CAAC,EAAE,IAAIC,EAAE,GAAGkB,EAAE,MAAM,KAAK,oBAAoBpD,EAAEV,EAAE,EAAE,aAAa,EAAE,YAAY4C,EAAED,CAAC,EAAExC,EAAE2D,EAAE,GAAGnC,EAAEmC,EAAE,GAAGpB,EAAEoB,EAAE,GAAG,IAAIC,EAAE,GAAGqD,EAAE,GAAG,EAAE,gBAAgB,MAAM,EAAE,eAAe,OAAO,EAAE,CAAC,GAAGrD,EAAE,GAAG,EAAE,eAAe,SAAS,EAAEjC,EAAE,EAAE,eAAe,GAAG,EAAE,EAAE,eAAe,OAAQ,OAAM,EAAE,eAAe,SAAS,EAAE,IAAIqnC,GAAG,+DAA+D,EAAE,IAAID,EAAE,0GAA0G,EAAE,4BAA4B,EAAE,IAAI7hC,EAAE,GAAGvC,EAAE,MAAM,KAAK,oBAAoBhD,EAAE,EAAE,KAAK,KAAKuF,EAAE1E,CAAC,EAAEH,EAAEsC,EAAE,GAAG,EAAEA,EAAE,GAAGsC,EAAE5E,EAAE,OAAO,CAAC,CAAC,SAAS,EAAE,iBAAiB,MAAM,EAAE,gBAAgB,GAAG,EAAE,gBAAgB,EAAE,CAACuB,EAAE,GAAG,IAAIsD,EAAE,KAAK,MAAMlH,EAAE,GAAG,MAAM,IAAI,EAAE,EAAE,gBAAgB,EAAE2E,EAAE3E,EAAE,GAAG,MAAM,GAAGqC,EAAEk6C,GAAGv8C,EAAEkH,EAAEvC,CAAC,EAAElD,EAAEzB,EAAEA,EAAEu8C,GAAGv8C,EAAE,EAAEkH,CAAC,EAAE,EAAEq1C,GAAG/6C,EAAE0F,EAAEvC,CAAC,EAAEjD,EAAEF,EAAEA,EAAE+6C,GAAG/6C,EAAE,EAAE0F,CAAC,EAAED,EAAE5E,EAAE,OAAO,CAAC,CAAC,MAAM,EAAE,iBAAiB,OAAOuB,EAAE,IAAI,IAAIa,EAAEzE,EAAE,OAAOwB,CAAC,EAAE,OAAOe,CAAC,EAAE,KAAK,iCAAiC,EAAE,IAAI6B,EAAE,KAAK,kBAAkB,EAAEC,EAAE,KAAK,uBAAuB,EAAEC,EAAEC,EAAEX,GAAG,KAAK,iBAAiB,EAAEU,EAAE,KAAK,aAAaC,EAAEF,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI6C,GAAG,OAAOA,CAAC,CAAC,IAAI5C,EAAE,KAAK2C,EAAE,CAAC,EAAE1C,EAAEF,EAAE,MAAM,GAAG,IAAIG,EAAEyzC,GAAG,EAAE,UAAU,EAAE,UAAU,EAAE,OAAO,MAAM,KAAK,QAAQ7zC,EAAEK,EAAEJ,EAAE7B,EAAE,EAAE,OAAO,EAAE,QAAQgC,EAAEF,EAAE2C,EAAE,EAAE,QAAQ1C,EAAE,EAAE,aAAa,KAAK,IAAI,CAAC,QAAC,CAAQ,KAAK,WAAW,GAAGo4C,GAAG38C,EAAEO,CAAC,EAAEo8C,GAAGn7C,EAAE3B,CAAC,EAAE88C,GAAGl7C,EAAElB,CAAC,EAAEo8C,GAAGj7C,EAAE7B,CAAC,EAAE88C,GAAGt6C,EAAEV,CAAC,EAAEg7C,GAAG,EAAE,CAAC,EAAEp6C,GAAG,MAAM5R,GAAG4R,CAAC,CAAC,CAAC,CAAC,MAAM,QAAQhC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,EAAEE,EAAEC,EAAEC,EAAE,CAACzC,GAAG,OAAOA,EAAE,IAAIwB,GAAG,OAAOA,EAAE,GAAGa,GAAG,OAAOA,EAAE,IAAIE,GAAG,OAAOA,EAAE,GAAG,IAAIoB,EAAE,GAAG,GAAGhC,GAAG,MAAM,GAAG,OAAOgC,EAAE,IAAIlB,GAAG,OAAOkB,EAAE,GAAGnB,GAAG,MAAM,MAAM,IAAIumC,EAAE,kGAAkG,EAAE,IAAInlC,EAAE,KAAK,gBAAgB/D,EAAEG,EAAEwC,EAAE,iBAAiB,EAAEyE,EAAErD,GAAG,OAAOqD,EAAEilC,GAAG,EAAEtoC,CAAC,GAAGnC,GAAG,OAAOA,EAAE,GAAG,GAAG,CAAC,aAAagD,EAAE,QAAQL,CAAC,EAAE+zC,GAAGz2C,EAAED,EAAED,EAAEe,EAAEqB,EAAEpB,EAAExC,EAAE2D,EAAE,CAAC,EAAEc,EAAE,SAAS,IAAI,EAAE,KAAK,QAAQL,EAAE,MAAMK,EAAE,aAAa,EAAE,KAAK,cAAc,GAAG,QAAQJ,EAAE9B,EAAE8B,EAAE7C,EAAE,EAAE6C,EAAE,CAAC,MAAMI,EAAE,aAAaJ,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG9B,GAAG,KAAK,MAAM,IAAIwmC,GAAG,4CAA4C,EAAE,CAAC,GAAG3mC,IAAI,QAAQ,MAAM,IAAI2mC,GAAG,wCAAwC,EAAE3mC,GAAGlE,EAAE,QAAQ8I,CAAC,EAAE,IAAI1C,EAAE1H,GAAGoK,CAAC,EAAEzC,EAAEi4C,GAAG74C,EAAE5D,CAAC,EAAE,QAAQ0E,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIwC,EAAE,CAAC,EAAE,GAAG,MAAMzC,EAAE,aAAaC,EAAEwC,CAAC,EAAE7J,EAAE,IAAI,CAAC,IAAIsH,EAAEH,EAAEE,GAAG,GAAGE,EAAEJ,EAAEE,GAAG,GAAGG,EAAE+nC,GAAGroC,EAAEI,EAAEC,EAAED,CAAC,EAAEuC,EAAE,MAAMxC,EAAEwC,EAAE,KAAKtC,EAAED,EAAE,IAAIG,EAAE03C,GAAG38C,EAAEgF,CAAC,EAAEE,EAAExE,EAAEuE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAI2C,EAAE,EAAE3C,GAAGoC,EAAErC,EAAEC,GAAGkC,EAAES,GAAGP,EAAErT,GAAGqT,CAAC,CAAC,CAAC,GAAG1C,IAAIF,EAAE,OAAO,GAAGb,EAAE,CAAC,IAAIqB,EAAE,KAAK,SAASrD,EAAE,EAAE3B,CAAC,EAAE,QAAQ2H,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIP,EAAE,EAAEO,GAAGC,EAAE5C,EAAE2C,GAAG5T,GAAG6T,CAAC,EAAEtD,EAAE,OAAO8C,GAAGQ,CAAC,CAAC,CAAC,CAAC,EAAE,MAAMnD,EAAE,WAAWC,EAAEwC,CAAC,EAAE0wC,GAAG1wC,CAAC,EAAE,KAAK,cAAc,KAAK,CAAC3C,EAAE,QAAQ,CAAC,CAAC,GAAG,MAAME,EAAE,WAAWJ,EAAEC,CAAC,EAAE,KAAK,cAAc,KAAK,CAAC,OAAO,MAAMG,EAAE,WAAW,EAAE,MAAM,KAAK,QAAQ,SAAS,EAAE,KAAK,OAAO,CAAC,MAAM,WAAWlE,EAAEV,EAAE,CAAC,OAAOo8C,GAAG,KAAK17C,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,oBAAoBU,EAAEV,CAAC,EAAEG,EAAE,EAAE,GAAGwB,EAAE,EAAE,GAAGE,EAAE,KAAK,kBAAkB,EAAE1B,EAAE,OAAOwB,CAAC,CAAC,EAAEG,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,CAAC,IAAIW,EAAE,MAAMT,EAAE,KAAK,EAAED,EAAE,KAAKU,EAAE,EAAE,CAAC,CAAC,OAAO1R,GAAG+Q,CAAC,EAAEi7C,GAAG,EAAE,GAAGp8C,CAAC,EAAEo8C,GAAG,EAAE,GAAG98C,CAAC,EAAEypC,GAAG3nC,CAAC,CAAC,CAAC,gBAAgBpB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAEU,GAAG,MAAMA,EAAE,cAAcP,EAAE,EAAE,KAAK,iBAAiB,KAAK,QAAQwB,EAAE,KAAK,WAAW,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzB,EAAE,OAAO,EAAEyB,EAAE,GAAG,CAACzB,EAAEyB,GAAG,WAAW5B,EAAE,KAAK,CAAC,KAAKG,EAAEyB,GAAG,aAAa,OAAOD,EAAEC,EAAE,CAAC,EAAE,OAAO5B,CAAC,CAAC,IAAI,aAAaU,EAAE,CAAC,KAAK,cAAcA,CAAC,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,aAAaA,IAAI,KAAK,WAAWA,EAAE,KAAK,iBAAiB,GAAG,CAAC,SAAS,CAAC,IAAIA,EAAE,MAAM,QAAQ,EAAE,GAAGA,EAAE,uBAAuB,GAAG,KAAK,WAAW,MAAM,KAAK,iBAAiB,CAAC,IAAIV,EAAE/J,GAAG,EAAE,WAAW,KAAK,WAAW,QAAQ,EAAEyK,EAAE,sBAAsBV,EAAE/J,GAAG,EAAE,UAAU,CAAC,OAAOyK,CAAC,CAAC,oBAAoB,CAAC,IAAIA,EAAE,GAAG,OAAO,KAAK,MAAM,SAASA,EAAEipC,GAAG,KAAK,IAAI,UAAU,MAAM,QAAQ,KAAK,IAAI,EAAE,CAAC,QAAQ3pC,KAAK,KAAK,KAAK,GAAG,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,oDAAoD,EAAEU,EAAE,KAAK,KAAK,IAAIV,GAAG2pC,GAAG3pC,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEU,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,KAAK,QAAQP,KAAKH,EAAE,GAAG,OAAO,EAAEG,IAAI,SAASO,EAAEP,GAAGwpC,GAAG,EAAExpC,EAAE,MAAO,OAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,OAAOO,CAAC,CAAC,sBAAsB,CAAC,GAAG,OAAO,KAAK,SAAS,UAAU,OAAO,KAAK,SAAS,WAAW,MAAM,CAACipC,GAAGmR,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE,GAAG,MAAM,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,QAAQ,IAAIp6C,GAAGipC,GAAGmR,GAAGp6C,CAAC,CAAC,CAAC,EAAE,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,QAAQU,EAAEV,GAAG2pC,GAAGmR,GAAG,KAAK,QAAQ96C,EAAE,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAM,CAAC,KAAK,KAAK,mBAAmB,EAAE,QAAQ,KAAK,qBAAqB,EAAE,iBAAiB,CAAC,WAAW,KAAK,UAAU,aAAa,EAAE,OAAO,KAAK,UAAU,UAAU,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAE,kBAAkB,KAAK,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,cAAc,KAAK,MAAM,IAAI,MAAM,4CAA4C,EAAE,GAAGA,EAAE,oBAAoB,KAAK,MAAM,IAAI,MAAM,kDAAkD,EAAE,IAAIV,EAAEy7C,GAAG/6C,EAAE,gBAAgB,EAAE,EAAE63C,GAAGv4C,CAAC,EAAEG,EAAE,GAAG,OAAOO,EAAE,MAAM,SAASP,EAAEypC,GAAGlpC,EAAE,IAAI,UAAU,MAAM,QAAQA,EAAE,IAAI,EAAEP,EAAEO,EAAE,KAAK,IAAIkB,GAAGgoC,GAAGhoC,CAAC,CAAC,UAAUlB,EAAE,MAAM,KAAK,CAACP,EAAE,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,KAAKP,EAAEyB,GAAGgoC,GAAGlpC,EAAE,KAAKkB,EAAE,CAAC,CAAC,IAAID,EAAE,GAAG,MAAM,QAAQjB,EAAE,OAAO,EAAEiB,EAAEjB,EAAE,QAAQ,IAAIkB,GAAGgoC,GAAGhoC,CAAC,CAAC,UAAUlB,EAAE,SAAS,KAAK,CAACiB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,QAAQiB,EAAEC,GAAGgoC,GAAGlpC,EAAE,QAAQkB,EAAE,CAAC,CAAC,KAAK,QAAQ,CAAC,KAAKzB,EAAE,QAAQwB,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC,MAAM,KAAKjB,EAAEV,EAAE,CAAC,GAAG,OAAOU,GAAG,SAAS,CAAC,IAAIqB,EAAElO,GAAG,gBAAgB6M,CAAC,EAAE,GAAGqB,EAAE,SAAS,EAAE,MAAM,IAAImnC,EAAE,0CAA0CxoC,IAAI,EAAE,GAAGqB,EAAE,OAAO,EAAE,MAAM,IAAImnC,EAAE,wBAAwBnnC,EAAE,kCAAkCrB,IAAI,EAAEA,EAAEqB,EAAE,EAAE,CAAC,GAAGrB,EAAE,MAAM,KAAK,MAAM,IAAIwoC,EAAE,8GAA8G,EAAE,IAAI,EAAE,MAAMr1C,GAAG,cAAc,KAAK,gBAAgBmM,CAAC,CAAC,EAAEG,EAAE,GAAGwB,EAAE,KAAKE,EAAE,CAAC,cAAc,KAAK,OAAOF,EAAExB,CAAC,EAAE,OAAOo9C,GAAG,YAAY,8BAA8Bz+C,KAAK,YAAY,IAAI,EAAE,IAAIkB,GAAG,KAAK,GAAGA,EAAE,mBAAmB,KAAK,WAAW,KAAK,CAAC6B,EAAE,eAAe,KAAK,kBAAkB,EAAE,IAAIE,EAAE,YAAY,CAAC,KAAKS,EAAE,MAAMC,CAAC,EAAE,MAAM5O,GAAG,cAAc,MAAM,KAAK,UAAU,WAAW,EAAEkO,CAAC,EAAE,EAAE,MAAM,KAAK,GAAGU,CAAC,EAAE,EAAE,KAAK5O,GAAG,wBAAwB,CAAC,EAAE,KAAK2O,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,qBAAqB,OAAOw4C,GAAG,KAAK,oBAAoB,KAAK,KAAK,EAAE,EAAEn5C,EAAE,oBAAoB,KAAK,qBAAqBA,EAAE,WAAW,EAAE,KAAKA,EAAE,YAAY,EAAE,MAAMnB,EAAE,KAAKmB,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAACs6C,GAAGt6C,EAAE,KAAK,IAAI,EAAE,KAAK,oBAAoBA,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,mBAAmB,CAAC,EAAE9a,GAAG,UAAU,QAAQ4U,GAAE,cAAc5U,EAAE,EAAE,IAAI43D,GAAG,cAAc53D,EAAE,CAAC,EAAE43D,GAAG,UAAU,aAAahjD,GAAE,cAAcgjD,EAAE,EAAE,eAAeC,GAAG39C,EAAE,EAAE,CAAC,kBAAkBA,IAAIA,EAAE,CAAC,cAAcA,CAAC,GAAGA,EAAEA,EAAE,IAAIE,EAAEF,EAAE,cAAcE,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAIE,EAAEu7C,GAAGz7C,CAAC,EAAEG,EAAEo4C,GAAGr4C,EAAE,CAAC,EAAE,GAAGJ,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,MAAMjM,GAAG,YAAYiM,EAAE,gBAAgBA,EAAE,WAAWK,EAAE,QAAQ,IAAI0B,GAAGA,EAAE,YAAY,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,KAAK1B,EAAE,QAAQ,EAAE0B,EAAE,cAAc,EAAEA,EAAE,cAAc1B,EAAE,YAAY,CAAC,EAAErP,GAAG,CAAC,CAAC,CAAC,OAAOqP,CAAC,CAAC,eAAevL,GAAGkL,EAAE,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAEnM,GAAG,gBAAgBiM,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAEA,EAAE,KAAKnM,GAAG,mBAAmBiM,EAAE,CAAC,CAAC,UAAUE,EAAE,OAAO,EAAE,MAAM,IAAIkpC,EAAE,wBAAwBlpC,EAAE,kCAAkCF,IAAI,EAAEA,EAAEE,EAAE,EAAE,CAAC,OAAO09C,GAAG59C,EAAE,OAAO,CAAC,CAAC,CAAC,eAAe49C,GAAG59C,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAGF,EAAE,MAAM,KAAK,MAAM,IAAIopC,EAAE,+GAA+G,EAAE,IAAIhpC,EAAE,MAAMJ,EAAE,KAAK,EAAEK,EAAED,EAAE,cAAcC,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAI,EAAEH,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,EAAEE,EAAE,YAAY,MAAMA,EAAE,aAAa,MAAM,EAAE2B,EAAE02C,GAAGkD,GAAGt7C,CAAC,EAAE,EAAE,CAAC,EAAE2B,EAAE5B,EAAE,eAAe,GAAG4B,GAAG,MAAMD,EAAE,mBAAmBC,CAAC,EAAE5B,EAAE,qBAAqB,MAAM2B,EAAE,uBAAuB3B,EAAE,mBAAmB,EAAEA,EAAE,YAAY,KAAK,CAAC,GAAGA,EAAE,aAAa,KAAK,MAAM,IAAIgpC,EAAE,gHAAgH,EAAE,GAAG,CAAC,aAAannC,EAAE,iBAAiBS,CAAC,EAAEm7C,GAAGz9C,EAAE,WAAWA,EAAE,WAAW,EAAE2B,EAAE,YAAYE,EAAE,CAAC,EAAEF,EAAE,WAAW,MAAMW,EAAE,OAAO,GAAG,MAAMX,EAAE,UAAU,WAAWW,CAAC,EAAE1R,GAAGiR,CAAC,EAAEjR,GAAG0R,EAAE,IAAIC,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS87C,GAAG79C,EAAE,EAAE,CAAC,IAAIE,EAAEnM,GAAG,cAAciM,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,EAAE,QAAQ,YAAYA,EAAE,KAAK,CAAC,KAAK,EAAE,KAAK,OAAOH,EAAE,EAAE,KAAK,CAAC,EAAEE,EAAE,EAAE,MAAMF,EAAE,EAAE,KAAK,CAAC,EAAE,CAAC,aAAaE,EAAE,iBAAiBC,CAAC,CAAC,CAAC,IAAI/V,GAAG,cAAcxE,EAAE,CAAC,YAAY8a,EAAE,CAAC,GAAG,MAAM,CAAC,OAAO,CAAC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAEA,EAAEA,GAAG,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAKoqC,GAAG,aAAa,EAAEpqC,EAAE,QAAQ,KAAK,QAAQV,KAAKU,EAAE,OAAO,KAAK,IAAIV,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,GAAGA,EAAE,aAAa,GAAG,cAAc,GAAG,MAAM,KAAKR,GAAGA,EAAE,CAAC,EAAE,MAAM,IAAIgpC,EAAE,kDAAkDxoC,EAAE,0BAA0BA,EAAE,aAAa,GAAG,aAAa,GAAG,QAAQ,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAEU,aAAatW,IAAIsW,aAAa9a,GAAG,EAAE,GAAGoa,EAAE,CAAC,GAAG,EAAEU,EAAE,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uHAAuH,EAAE,GAAG,EAAE,OAAO,SAAS,EAAE,MAAM,IAAIA,EAAE,qHAAqH,CAAC,CAAC,GAAG,KAAK,QAAQ,SAAS,EAAE,CAAC,GAAGxoC,EAAE,aAAa,SAAS,EAAE,CAAC,GAAGA,EAAE,iBAAiB,KAAK,MAAM,IAAIwoC,EAAE,+FAA+F,EAAE,IAAI/oC,EAAEswC,GAAG,CAAC,WAAW/vC,EAAE,gBAAgB,MAAMA,EAAE,MAAM,KAAKA,EAAE,KAAK,QAAQ,CAAC,EAAEA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGH,EAAE,KAAK,QAAQ,EAAE,QAAQ,KAAK,OAAO,EAAE,WAAW,CAAC,GAAGU,EAAE,aAAa,SAAS,EAAE,MAAM,IAAIwoC,EAAE,gHAAgHxoC,EAAE,kBAAkBA,EAAE,aAAa,0CAA0C,EAAE,GAAGA,EAAE,aAAa,GAAG,cAAc,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uHAAuH,EAAE,KAAK,WAAWxoC,CAAC,EAAE,KAAK,QAAQ,CAACA,EAAE,aAAa,GAAG,cAAc,EAAE,EAAE,KAAK,OAAO6vC,GAAG,KAAK,QAAQ,EAAE,CAAC,CAAC,KAAK,aAAa,CAAC,EAAE,IAAIL,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW5G,GAAG,KAAK,KAAK,OAAO,MAAM,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,KAAK,OAAO,IAAInpC,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEO,EAAE,MAAM,KAAK,QAAQ,EAAE,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,MAAM,IAAI,UAAU,uHAAuH,EAAE,KAAK,WAAWO,CAAC,EAAE,KAAK,QAAQ,CAACP,CAAC,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,KAAK,OAAO,KAAKO,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAK,CAAC,GAAG,KAAK,OAAO,SAAS,EAAE,MAAM,IAAI,UAAU,mCAAmC,EAAE,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,OAAO,SAAS,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,MAAM,CAAC,IAAIA,EAAE,KAAK,OAAO,OAAO,EAAE,KAAK,OAAOA,GAAG,cAAc,CAAC,EAAE,KAAK,QAAQ,CAAC,KAAK,OAAOA,GAAG,MAAM,EAAE,KAAK,aAAa,GAAG,cAAc,KAAK,QAAQ,KAAK,aAAa,GAAG,aAAa,CAAC,KAAK,QAAQ,GAAG,KAAK,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,KAAKU,EAAEV,CAAC,CAAC,CAAC,MAAMU,EAAE,CAAC,GAAGivC,GAAGjvC,CAAC,EAAE,KAAK,OAAO,SAAS,GAAG,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,UAAU,0EAA0E,EAAE,KAAK,MAAM,IAAI9a,GAAG,CAAC,OAAO,KAAK,OAAO,QAAQ,KAAK,QAAQ,GAAG,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,KAAK,MAAM,UAAU,KAAK,UAAU,KAAK,gBAAgB,KAAK,MAAM,gBAAgB,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,uBAAuB,KAAK,MAAM,uBAAuB,KAAK,yBAAyB,KAAK,MAAM,yBAAyB,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,wBAAwB,KAAK,MAAM,wBAAwB,KAAK,0BAA0B,KAAK,MAAM,0BAA0B,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,WAAW,KAAK,MAAM,WAAW,KAAK,MAAM,EAAE,CAAC,aAAa,CAAC,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,YAAY,CAAC,CAAC,QAAQ8a,EAAEV,EAAE,EAAE,QAAQ,IAAI,CAAC,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,QAAQU,EAAEV,EAAE,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,SAASA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,SAASvoC,EAAEV,EAAE,CAAC,CAAC,CAAC,MAAM,gBAAgBU,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,gBAAgBvoC,EAAEV,CAAC,CAAC,CAAC,QAAQU,EAAEV,EAAE,CAAC,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQU,EAAEV,CAAC,CAAC,CAAC,eAAeU,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,eAAeA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQA,CAAC,EAAE,KAAK,WAAW,KAAK,MAAM,UAAU,KAAK,iBAAiB,KAAK,MAAM,iBAAiB,KAAK,KAAK,KAAK,MAAM,KAAK,KAAK,QAAQ,KAAK,MAAM,QAAQ,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,aAAa,KAAK,MAAM,YAAY,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,KAAK,MAAM,SAAS,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,MAAM,UAAUA,CAAC,CAAC,MAAM,IAAIA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,IAAIvoC,EAAEV,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,WAAWvoC,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,aAAaU,EAAEV,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,EAAE,CAAC,EAAEG,EAAE,GAAG,CAAC,IAAIwB,EAAEC,EAAE,CAAC,EAAE,GAAG5B,aAAa,MAAM,CAAC,GAAGA,EAAE,GAAG,WAAW,MAAMA,EAAE,GAAG,YAAY,QAAQ,MAAM,IAAIkpC,EAAE,gDAAgD,EAAEvnC,EAAE3B,CAAC,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,KAAK,IAAI,qHAAqH,EAAE2B,EAAE3B,EAAE,OAAO,OAAOA,EAAE,OAAO4B,EAAE5B,EAAE,IAAI6B,EAAE,IAAInB,EAAEkB,CAAC,EAAE,GAAG,EAAEC,aAAazX,IAAI,MAAM,IAAI++C,GAAG,yDAAyDtnC,GAAG,EAAE,QAAQC,KAAKH,EAAE,CAAC,IAAIa,EAAE+1C,GAAGz2C,EAAE,OAAO3B,CAAC,EAAEA,GAAGqC,EAAE,6BAA6B,EAAE,EAAEX,EAAE,IAAIW,CAAC,CAAC,CAAC,OAAOX,CAAC,CAAC,IAAI,aAAanB,EAAE,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIwoC,EAAE,mFAAmF,EAAE,KAAK,MAAM,aAAaxoC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIwoC,EAAE,mFAAmF,EAAE,OAAO,KAAK,MAAM,YAAY,CAAC,WAAW,CAAC,IAAIxoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAO,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAEU,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,EAAEtW,GAAG,UAAU,aAAaoQ,GAAE,cAAcpQ,EAAE,EAAE,SAASoM,GAAGsJ,EAAE,CAAC,OAAO,IAAIla,GAAGka,CAAC,CAAC,CAAC,SAASvF,GAAGuF,EAAE,CAAC,OAAO,IAAI1V,GAAG0V,CAAC,CAAC,CAAC,SAASlM,GAAGkM,EAAE,CAAC,OAAO2wC,GAAG3wC,CAAC,CAAC,CAAC,SAAS9G,GAAG8G,EAAE,EAAE,CAACu4C,GAAG,4BAA4Bv4C,EAAE,CAAC,CAAC,CAAC,IAAI89C,GAAG,cAAcpjD,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEqjD,GAAG,cAAcD,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,EAAE,CAAC,OAAO0tC,GAAGhtC,EAAEV,CAAC,CAAC,CAAC,EAAE69C,GAAG,UAAU,MAAMrjD,GAAE,cAAcqjD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOrG,GAAGqG,CAAC,CAAC,CAAC,EAAEo9C,GAAG,UAAU,OAAOtjD,GAAE,cAAcsjD,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOrH,GAAGqH,CAAC,CAAC,CAAC,EAAEq9C,GAAG,UAAU,OAAOvjD,GAAE,cAAcujD,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOlD,EAAE,IAAInH,GAAG,EAAEgD,GAAGqH,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEs9C,GAAG,UAAU,QAAQxjD,GAAE,cAAcwjD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOA,CAAC,CAAC,EAAEu9C,GAAG,UAAU,SAASzjD,GAAE,cAAcyjD,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO1F,GAAG0F,CAAC,CAAC,CAAC,EAAEw9C,GAAG,UAAU,UAAU1jD,GAAE,cAAc0jD,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOmtC,GAAGntC,CAAC,CAAC,CAAC,EAAEy9C,GAAG,UAAU,cAAc3jD,GAAE,cAAc2jD,EAAE,EAAE,IAAIC,GAAG,cAAcR,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO9E,GAAG8E,CAAC,CAAC,CAAC,EAAE09C,GAAG,UAAU,WAAW5jD,GAAE,cAAc4jD,EAAE,EAAE,IAAIC,GAAG,cAAcT,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOitC,GAAGjtC,CAAC,CAAC,CAAC,EAAE29C,GAAG,UAAU,WAAW7jD,GAAE,cAAc6jD,EAAE,EAAE,IAAIC,GAAG,cAAcV,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO5D,GAAG4D,CAAC,CAAC,CAAC,EAAE49C,GAAG,UAAU,OAAO9jD,GAAE,cAAc8jD,EAAE,EAAE,IAAIC,GAAG,cAAcX,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,GAAG,CAAC,OAAOrE,GAAG+E,EAAEV,CAAC,CAAC,CAAC,EAAEu+C,GAAG,UAAU,UAAU/jD,GAAE,cAAc+jD,EAAE,EAAE,IAAIC,GAAG,cAAcZ,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,GAAG,CAAC,OAAO/K,GAAGyL,EAAEV,CAAC,CAAC,CAAC,EAAEw+C,GAAG,UAAU,aAAahkD,GAAE,cAAcgkD,EAAE,EAAE,IAAIC,GAAG,cAAcb,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,EAAE,CAAC,OAAOxC,EAAE,IAAI5G,EAAEoE,GAAGpE,EAAE8J,EAAEV,CAAC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,EAAE+9C,GAAG,UAAU,QAAQjkD,GAAE,cAAcikD,EAAE,EAAE,IAAIC,GAAG,cAAcd,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOlD,EAAE,IAAI5G,EAAE8J,EAAE5D,GAAGlB,GAAG8E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEg+C,GAAG,UAAU,OAAOlkD,GAAE,cAAckkD,EAAE,EAAE,SAASC,GAAG7+C,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,CAAC,SAAS8+C,GAAG9+C,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAASqkD,GAAG/+C,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAU,SAAS,EAAE,OAAO,CAAC,EAAE8+C,GAAG,CAAC,CAAC,CAAC,GAAG,OAAO9+C,GAAG,SAAS,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,EAAE,OAAO,CAAC,EAAE8+C,GAAG,CAAC,CAAC,KAAM,QAAO9+C,aAAa89C,GAAG99C,EAAE8+C,GAAG9+C,CAAC,CAAC,CAAC,SAASg/C,GAAGh/C,EAAE,CAAC,GAAGA,GAAG,MAAM,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,yFAAyFA,GAAG,CAAC,CAAC,IAAIi/C,GAAG,cAAcvkD,GAAE,YAAY,CAAC,EAAEwkD,GAAG,cAAcD,EAAE,CAAC,YAAYr+C,EAAE,CAAC,MAAM,EAAEo+C,GAAGp+C,CAAC,EAAE,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEX,GAAG,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,QAAQW,EAAEhT,EAAEgT,EAAErD,GAAG/F,EAAE,KAAK,GAAG/J,GAAG6T,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,QAAQV,EAAEhT,EAAEgT,EAAErD,GAAG/F,EAAE,KAAK,GAAG42C,GAAG9sC,CAAC,CAAC,CAAC,CAAC,GAAGlH,EAAEwG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,GAAG,KAAK,GAAG,GAAG,KAAK,EAAE,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAE,CAAC,GAAGV,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,EAAEg/C,GAAG,UAAU,OAAOxkD,GAAE,cAAcwkD,EAAE,EAAE,SAASC,GAAGn/C,EAAE,CAAC,OAAOg/C,GAAGh/C,CAAC,EAAE,IAAIk/C,GAAG,CAAC,GAAGl/C,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,SAASo/C,GAAGp/C,EAAE,CAAC,OAAOg/C,GAAGh/C,CAAC,EAAE,IAAIk/C,GAAG,CAAC,GAAGl/C,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIq/C,GAAG,CAAC,KAAK,MAAM,EAAE,SAASC,GAAGt/C,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASu/C,GAAGv/C,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS8kD,GAAGx/C,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKq/C,GAAGA,GAAGr/C,GAAGA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOu/C,GAAGr/C,CAAC,CAAC,KAAM,QAAOF,aAAai/C,GAAGj/C,EAAEu/C,GAAGv/C,CAAC,CAAC,CAAC,IAAIy/C,GAAG,cAAcnP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,KAAKA,EAAEV,EAAE,CAACU,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAErH,GAAGqH,CAAC,EAAE,OAAO,KAAK,UAAU,OAAO,EAAE3R,GAAG,EAAE,EAAE,KAAK,QAAQ,GAAG,CAAC,CAAC,mBAAmB2R,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,QAAQ,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE6+C,GAAG,UAAU,OAAO/kD,GAAE,cAAc+kD,EAAE,EAAE,IAAIC,GAAG,cAAcpP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOrM,GAAG,EAAE,KAAK,KAAK,CAAC,CAAC,mBAAmBqM,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE8+C,GAAG,UAAU,YAAYhlD,GAAE,cAAcglD,EAAE,EAAE,IAAIC,GAAG,cAAcrP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,0BAA0B,QAAQA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,KAAK,yBAAyB,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,EAAE,KAAK,gBAAgBwxC,GAAGxxC,EAAE,eAAe,EAAEA,EAAE,YAAY,KAAK,KAAK,WAAW,aAAa,MAAM,QAAQA,EAAE,UAAU,EAAE,KAAK,WAAWA,EAAE,mBAAmB,OAAOA,EAAE,YAAY,SAAS,KAAK,WAAW,CAACA,EAAE,UAAU,MAAO,OAAM,IAAIwoC,EAAE,sEAAsExoC,EAAE,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQP,KAAK,KAAK,WAAWH,EAAEG,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,UAAU,QAAQH,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,EAAE,IAAI,EAAE,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQG,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,EAAEA,GAAGO,EAAEP,GAAG,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAKsb,EAAE,OAAO,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOU,EAAEgvC,GAAGhvC,CAAC,EAAE3I,GAAG2I,EAAE,KAAK,MAAM,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,iBAAiB4uC,GAAG,KAAK,gBAAgB,EAAE,iBAAiB8P,GAAG,KAAK,gBAAgB,EAAE,gBAAgBpN,GAAG,KAAK,eAAe,EAAE,WAAW,KAAK,UAAU,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE++C,GAAG,UAAU,QAAQjlD,GAAE,cAAcilD,EAAE,EAAE,IAAIC,GAAG,cAActP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,KAAK,cAAc,MAAM,IAAIyoC,GAAG,4BAA4BzoC,EAAE,+CAA+C,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOrP,GAAG,CAAC,CAAC,CAAC,mBAAmBqP,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEg/C,GAAG,UAAU,MAAMllD,GAAE,cAAcklD,EAAE,EAAE,IAAIC,GAAG,cAAcvP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO9J,EAAE,EAAE/H,GAAEwE,GAAG,EAAE,KAAK,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,mBAAmBqN,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEi/C,GAAG,UAAU,kBAAkBnlD,GAAE,cAAcmlD,EAAE,EAAE,IAAIC,GAAG,cAAcxP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,aAAa,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAI69C,GAAG,EAAE,MAAM,KAAK,KAAK79C,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,IAAI,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,QAAQ,EAAE,KAAK,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEk/C,GAAG,UAAU,UAAUplD,GAAE,cAAcolD,EAAE,EAAE,SAASC,GAAG//C,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAOF,GAAG,SAAS,OAAOwpC,GAAGxpC,EAAE,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIopC,EAAE,OAAOlpC,6CAA6C,yBAAyBF,EAAE,kBAAkB,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEL,EAAEI,GAAG,GAAG,CAAC+rC,GAAG9rC,CAAC,EAAE,MAAM,IAAI+oC,EAAE,OAAOlpC,6CAA6C,yBAAyB,KAAK,UAAUF,CAAC,oCAAoCK,GAAG,CAAC,CAAC,OAAOL,CAAC,CAAC,SAASggD,GAAGhgD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAGL,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,GAAG,EAAE,IAAIK,EAAE,GAAG,EAAE,OAAOH,IAAI,OAAO,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,OAAO,EAAEI,EAAE,GAAGA,CAAC,CAAC,CAAC,SAAS6/C,GAAGjgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,GAAG,KAAK,OAAO,KAAK,GAAGI,IAAI,QAAQJ,EAAEA,EAAE,EAAEssC,GAAG,CAACpsC,EAAE,EAAE,CAAC,CAAC,UAAUE,IAAI,OAAOJ,EAAEA,EAAE,MAAO,OAAM,IAAIopC,EAAE,2BAA2BhpC,IAAI,EAAE,OAAOJ,CAAC,CAAC,SAASkgD,GAAGlgD,EAAE,EAAE,CAAC,OAAOtC,EAAE,KAAK6tC,GAAG,CAAC,EAAE,IAAI,gBAAgBxtC,GAAGiC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASmgD,GAAGngD,EAAE,EAAE,CAAC,OAAOtC,EAAE,KAAK6tC,GAAG,CAAC,EAAE,IAAI,gBAAgBxtC,GAAGiC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASogD,GAAGpgD,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAE,QAAQ,EAAE,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,+DAA+DppC,EAAE,MAAM,iBAAiB,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,iEAAiE,EAAE,MAAM,gBAAgB,EAAE,GAAGlpC,GAAG,MAAMA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIkpC,EAAE,+DAA+D,EAAE,MAAM,gBAAgB,EAAE,GAAG,IAAI,kBAAkBppC,EAAEjC,GAAGiC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,IAAItnC,EAAErS,GAAGsQ,EAAE,EAAEI,EAAEC,IAAI,OAAO,OAAO,QAAQ,MAAM,CAAC,EAAE,OAAOH,GAAG,OAAO6B,EAAE4rC,GAAG5rC,EAAE7B,CAAC,GAAG6B,CAAC,CAAC,CAAC,CAAC,SAASs+C,GAAGrgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE0B,EAAE,KAAK,CAAC,OAAOrE,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,6EAA6EppC,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,8EAA8EppC,EAAE,OAAO,EAAE,IAAIgC,EAAEk+C,GAAGlgD,EAAE,CAAC,EAAE,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,OAAOrnC,EAAErP,GAAG,OAAO,CAAC,EAAEqP,EAAE,OAAO,EAAE,QAAQ5B,EAAE,IAAIC,IAAI,OAAO,OAAO,QAAQ,UAAU,EAAE,WAAW,OAAO,KAAKH,EAAE,WAAW6B,CAAC,CAAC,EAAE,IAAI,kBAAkBC,EAAEjE,GAAGiE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,SAASs+C,GAAGtgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,mEAAmEppC,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,oEAAoEppC,EAAE,OAAO,EAAE,IAAI+B,EAAEo+C,GAAGngD,EAAE,CAAC,EAAE,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,OAAOtnC,EAAElS,GAAGkS,EAAE,EAAE3B,EAAEC,IAAI,OAAO,OAAO,QAAQ,QAAQ,CAAC,EAAEH,GAAG,OAAO6B,EAAE4rC,GAAG5rC,EAAE7B,CAAC,GAAG,IAAI,kBAAkB6B,EAAEhE,GAAGgE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIw+C,GAAG,cAAcjQ,EAAE,CAAC,YAAY1vC,EAAEV,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQqgD,GAAG,WAAWrgD,CAAC,EAAE,KAAK,KAAKU,EAAE6pC,GAAG,KAAK,KAAK,MAAM,EAAE,KAAK,OAAO,GAAG,KAAK,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIpB,GAAG,qDAAqD,KAAK,+BAA+B,EAAE,GAAG,KAAK,WAAW0W,GAAG7/C,EAAE,WAAWU,EAAE,YAAY,EAAE,KAAK,QAAQm/C,GAAG7/C,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQU,EAAE,SAAS,EAAE,KAAK,QAAQV,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQurC,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWvrC,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqrC,GAAG,KAAK,UAAU,EAAE,KAAK,WAAWwT,GAAG7+C,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,gBAAgBuvC,GAAGvvC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAekyC,GAAGlyC,EAAE,cAAc,EAAE,KAAK,gBAAgBs/C,GAAGt/C,EAAE,eAAe,EAAE,KAAK,oBAAoBs/C,GAAGt/C,EAAE,mBAAmB,EAAE,KAAK,aAAa6/C,GAAG7/C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAaU,EAAE,cAAc,EAAE,KAAK,OAAO,GAAG,MAAM,QAAQ,KAAK,YAAY,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIwoC,EAAE,iGAAiG,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,GAAG,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,0FAA0F,KAAK,UAAU,KAAK,YAAY,GAAG,UAAU,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,4FAA4F,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,CAAC,OAAO,WAAWxoC,EAAE,CAAC,GAAG6oC,GAAG,eAAe7oC,EAAE,yCAAyC,EAAE,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,oGAAoG,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,WAAWi+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,gBAAgBrP,GAAG,KAAK,eAAe,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAepN,GAAG,KAAK,cAAc,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE4/C,GAAG,cAAcD,EAAE,CAAC,YAAY3/C,EAAEV,EAAE,CAAC,MAAMU,EAAEV,CAAC,EAAE,KAAK,OAAO,KAAKsgD,GAAG,WAAWtgD,CAAC,EAAE,KAAK,QAAQA,EAAE,QAAQuqC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,kBAAkBgF,GAAGvvC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,iBAAiBkyC,GAAGlyC,EAAE,gBAAgB,EAAE,KAAK,kBAAkBs/C,GAAGt/C,EAAE,iBAAiB,CAAC,CAAC,MAAMU,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,IAAI,KAAK,MAAM,IAAIkpC,EAAE,+DAA+DxoC,EAAEV,IAAI,EAAE,IAAI,EAAEU,EAAEV,GAAGG,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAACH,GAAG,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAEwB,EAAE+oC,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE,GAAG/oC,GAAG,MAAM,KAAK,OAAO,EAAE,EAAEw+C,GAAGz/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAawB,CAAC,MAAM,CAAC,GAAG,KAAK,OAAO,EAAE,EAAEu+C,GAAGx/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,GAAG,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAa,EAAE,UAAU,KAAK,OAAO,EAAE,EAAEggD,GAAGz/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,UAAU,KAAK,OAAO,EAAE,EAAEigD,GAAG1/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,MAAO,OAAM,IAAIgpC,GAAG,uDAAuD,EAAE,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,mBAAmBzoC,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,eAAeU,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEk+C,GAAG,EAAEn+C,GAAG,KAAK,WAAWA,GAAG,KAAK,QAAQ,KAAK,QAAQA,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,KAAK,aAAaA,EAAE,EAAE3B,EAAE,KAAK4B,CAAC,CAAC,CAAC,IAAIzB,EAAE,CAACO,EAAE,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgBP,EAAEA,EAAE,OAAOH,CAAC,EAAEG,EAAE,KAAK,KAAK,OAAO,IAAIA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAEA,EAAE,OAAOH,CAAC,GAAGG,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,QAAQ,KAAK,QAAQ,kBAAkB4uC,GAAG,KAAK,iBAAiB,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,EAAE,YAAYA,IAAI,OAAOA,EAAE,SAAS,UAAUA,EAAE,QAAQ,EAAE,MAAM,IAAIwoC,EAAE,0EAA0E,KAAK,UAAUxoC,EAAE,OAAO,GAAG,CAAC,CAAC,EAAE6/C,GAAG,cAAcD,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE6/C,GAAG,WAAW7/C,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,8FAA8F,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE6/C,GAAG,UAAU,SAAS/lD,GAAE,cAAc+lD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE8/C,GAAG,WAAW9/C,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,EAAE,MAAM,QAAQA,EAAE,UAAU,IAAIA,EAAE,WAAW,SAAS,GAAGA,EAAE,WAAW,SAAS,IAAI,MAAM,IAAIwoC,EAAE,2FAA2F,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE8/C,GAAG,UAAU,SAAShmD,GAAE,cAAcgmD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7/C,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAI8jD,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMxoC,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,mDAAmD,KAAK,UAAUxoC,CAAC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,IAAI,KAAK,MAAM,IAAIkpC,EAAE,sEAAsE,EAAE,IAAI,EAAExoC,EAAEV,GAAGG,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC4a,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIwoC,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAI/oC,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAE,KAAK,aAAa,iBAAiBD,EAAE,EAAEC,EAAE,IAAID,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE3B,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGW,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGE,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGC,EAAEm9C,GAAGj+C,EAAEY,EAAEF,EAAE,KAAK,OAAO,EAAEsB,EAAEi8C,GAAG,EAAEp9C,EAAE,EAAE,KAAK,OAAO,EAAEoB,EAAE,CAACpC,EAAEiB,EAAEkB,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAEjG,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIuJ,EAAE1X,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEqU,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBqD,EAAEvJ,GAAGuJ,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,MAAM,OAAOA,EAAEqmC,GAAGrmC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmB1G,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAExB,EAAE,EAAEwB,EAAE,IAAI,EAAE,EAAExB,EAAE,EAAEwB,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAG,OAAO9B,EAAE,GAAG,KAAK,QAAQA,EAAEG,GAAG4/C,GAAG//C,EAAEG,GAAG2B,EAAEF,EAAE,KAAK,OAAO,EAAE5B,EAAE2B,GAAGo+C,GAAG//C,EAAE2B,GAAG,EAAEE,EAAE,KAAK,OAAO,EAAE7B,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAE+/C,GAAG,UAAU,kBAAkBjmD,GAAE,cAAcimD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY9/C,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAI8jD,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMxoC,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,mDAAmD,KAAK,UAAUxoC,CAAC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,IAAI,KAAK,MAAM,IAAIkpC,EAAE,sEAAsE,EAAE,IAAI,EAAExoC,EAAEV,GAAGG,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC4a,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIwoC,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAI/oC,EAAE,EAAE,MAAMwB,EAAExB,EAAE,GAAGyB,EAAEC,EAAEC,EAAE,KAAK,aAAa,iBAAiBA,EAAE,EAAEF,EAAE,EAAEC,EAAE,IAAIC,EAAE,EAAEF,EAAE,EAAEC,EAAE,GAAG,IAAI,EAAE1B,EAAE2B,GAAGU,EAAErC,EAAEyB,GAAG,EAAEzB,EAAE0B,GAAGa,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAGkB,EAAE,KAAK,QAAQ,GAAGC,EAAE,KAAK,QAAQ,GAAGqD,EAAE,KAAK,QAAQ,GAAGxC,EAAEm7C,GAAG,EAAEj8C,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEw7C,GAAGv9C,EAAEuB,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEu7C,GAAG,EAAE34C,EAAExE,EAAE,KAAK,OAAO,EAAE6B,EAAE,CAAC9C,EAAEiD,EAAEL,EAAEC,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAE3G,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAI6G,EAAE9U,GAAG,EAAE,KAAK,OAAO,KAAK,EAAE6U,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBC,EAAE7G,GAAG6G,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,OAAO,OAAOA,EAAE+oC,GAAG/oC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,aAAa,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBhE,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAEC,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,IAAI,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,GAAGC,EAAE,KAAK,WAAW,GAAG,EAAE,KAAK,WAAW,GAAGU,EAAE,KAAK,QAAQ,GAAG,EAAE,KAAK,QAAQ,GAAGE,EAAE,KAAK,QAAQ,GAAG,OAAO1C,EAAE,GAAG,KAAK,QAAQA,EAAEG,GAAG4/C,GAAG//C,EAAEG,GAAGqC,EAAEX,EAAE,KAAK,OAAO,EAAE7B,EAAE2B,GAAGo+C,GAAG//C,EAAE2B,GAAG,EAAEG,EAAE,KAAK,OAAO,EAAE9B,EAAE4B,GAAGm+C,GAAG//C,EAAE4B,GAAGc,EAAE,EAAE,KAAK,OAAO,EAAE1C,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAEggD,GAAG,UAAU,kBAAkBlmD,GAAE,cAAckmD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY5/C,EAAEV,EAAE,CAAC,GAAG,MAAMU,EAAEV,CAAC,EAAE,KAAK,8BAA8B,gBAAgB,KAAK,8BAA8B,gBAAgB,KAAK,gBAAgB,KAAK,KAAK,gBAAgB,KAAKA,EAAE,SAAS,KAAK,MAAM,IAAIkpC,EAAE,qFAAqF,EAAE,GAAGlpC,EAAE,mBAAmB,MAAMA,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,KAAK,MAAM,IAAIkpC,EAAE,oPAAoP,EAAE,GAAGlpC,EAAE,SAAS,MAAMA,EAAE,UAAU,QAAQA,EAAE,UAAU,QAAQ,MAAM,IAAIkpC,EAAE,gBAAgB,KAAK,uEAAuE,KAAK,UAAUlpC,EAAE,OAAO,GAAG,EAAE,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBuvC,GAAGvvC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBs/C,GAAGt/C,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkyC,GAAGlyC,EAAE,mBAAmB,EAAE,KAAK,qBAAqBuvC,GAAGvvC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBs/C,GAAGt/C,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkyC,GAAGlyC,EAAE,mBAAmB,CAAC,CAAC,MAAMU,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,IAAIwoC,EAAE,0BAA0B,KAAK,0BAA0B,KAAK,KAAK,gCAAgC,KAAK,UAAUxoC,CAAC,GAAG,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,IAAI,MAAMU,EAAEV,GAAG,EAAE,MAAM,IAAIkpC,EAAE,oEAAoE,KAAK,UAAUxoC,EAAEV,EAAE,GAAG,EAAE,IAAI,EAAEU,EAAEV,GAAGG,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,eAAe,CAAC,EAAEwB,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,EAAEF,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,EAAE,KAAK,gBAAgB,KAAK,OAAO,EAAE,IAAIC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBzB,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqByB,EAAE,KAAK,mBAAmB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBD,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqBC,EAAE,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,EAAE,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,UAAU,CAAC,IAAIxc,GAAG,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC4a,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIyoC,GAAG,kDAAkD,EAAE,OAAO,KAAK,OAAO,IAAI,KAAK,aAAa,kBAAkBzoC,EAAE7C,GAAG6C,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,EAAEpG,GAAGoG,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,aAAa,MAAM,GAAG,KAAK,UAAU,EAAE+sC,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,KAAK,aAAa,kBAAkB,EAAE5vC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI6C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,iBAAiBA,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,oBAAoBsxC,GAAG,KAAK,mBAAmB,EAAEtxC,EAAE,oBAAoBsxC,GAAG,KAAK,mBAAmB,EAAEtxC,CAAC,CAAC,EAAEigD,GAAG,UAAU,gBAAgB,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYjgD,EAAE,CAAC,MAAM,EAAEA,CAAC,CAAC,CAAC,EAAEkgD,GAAG,UAAU,kBAAkBpmD,GAAE,cAAcomD,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAEmgD,GAAG,WAAWngD,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,WAAWA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,yFAAyF,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAEmgD,GAAG,UAAU,SAASrmD,GAAE,cAAcqmD,EAAE,EAAE,IAAIC,GAAG,cAAc1Q,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAE,CAACA,EAAE,SAASA,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,CAACA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,CAAC,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,WAAWA,EAAE,aAAa,OAAO,eAAeA,EAAE,WAAW,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAO,KAAK,aAAa,gBAAgB,CAACA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEgvC,GAAGhvC,CAAC,EAAE,KAAK,aAAa,eAAe,CAAC,IAAI,EAAEusC,GAAGvsC,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAOusC,GAAG,EAAE,KAAK,SAAS,GAAG,GAAGvsC,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEusC,GAAGvsC,EAAE,KAAK,SAAS,GAAG,GAAGA,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,EAAE,OAAOusC,GAAG,EAAE,KAAK,SAAS,GAAG,GAAGvsC,EAAE,MAAM,GAAG,KAAK,SAAS,GAAG,GAAG,KAAK,SAAS,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEogD,GAAG,UAAU,aAAatmD,GAAE,cAAcsmD,EAAE,EAAE,IAAIC,GAAG,cAAc3Q,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAE,KAAK,cAAc3qC,EAAE,eAAe,KAAK,UAAUA,EAAE,cAAc4qC,GAAG,KAAK,aAAa,CAAC,CAAC,mBAAmB5qC,EAAE,CAAC,GAAG,KAAK,aAAa,gBAAgB,CAAC,IAAIV,EAAEU,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGA,EAAE,GAAGV,EAAE,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEU,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,EAAEA,EAAE,IAAI,KAAK,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAG,MAAM,CAACA,EAAE,GAAGV,EAAE,EAAEU,EAAE,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAM,GAAG,KAAK,aAAa,gBAAgB,CAAC,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI8D,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG0B,EAAE,KAAK,gBAAgB,UAAUpO,GAAG,sBAAsB,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAEnO,GAAG,eAAe,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAE,OAAO/D,GAAGgE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE,KAAK,KAAK,GAAGxB,EAAE,GAAGyB,EAAE,KAAK,KAAK,GAAGzB,EAAE,GAAG,OAAO,KAAK,gBAAgB,UAAU1M,GAAG,sBAAsB,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAEnO,GAAG,eAAe,EAAE,CAACkO,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIlB,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,cAAc,KAAK,aAAa,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEqgD,GAAG,UAAU,eAAevmD,GAAE,cAAcumD,EAAE,EAAE,SAASC,GAAGlhD,EAAE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEE,EAAE,QAAQC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC2C,GAAG,OAAOA,EAAEqsC,GAAG,GAAGnB,GAAGlrC,CAAC,EAAE,IAAI,EAAE6/C,GAAGlgD,EAAEK,CAAC,EAAE,GAAGL,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,mEAAmEppC,EAAE,QAAQ,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,yDAAyD,EAAE,QAAQ,EAAE,OAAO,EAAE14C,GAAG,EAAE,EAAEwP,EAAEE,IAAI,OAAO,OAAO,QAAQ,OAAO,CAAC,EAAEC,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIojD,GAAG,cAAcZ,EAAE,CAAC,YAAY3/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE,KAAK,gBAAgB,KAAK,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,0BAA0B,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,uEAAuE,KAAK,UAAUxoC,CAAC,IAAI,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAE,EAAE,GAAGU,EAAEV,IAAI,MAAMU,EAAEV,GAAG,EAAE,MAAM,IAAIkpC,EAAE,yFAAyFxoC,EAAEV,MAAM,EAAE,IAAI,EAAEU,EAAEV,GAAGG,EAAE,CAAC,KAAK,WAAW,GAAG,KAAK,WAAW,GAAG,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBA,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAEsgD,GAAGtgD,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,IAAI,EAAE,OAAO,KAAK,UAAU,EAAE+sC,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,mBAAmB/sC,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAG,KAAK,gBAAgBA,EAAE,GAAG,KAAK,gBAAgBiB,EAAEm+C,GAAG9/C,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE4B,EAAEk+C,GAAG,EAAE,KAAK,WAAW,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,CAACp/C,EAAE,GAAGP,EAAEwB,EAAEC,CAAC,EAAE,CAAClB,EAAE,GAAGiB,EAAEC,EAAEzB,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,MAAM,UAAU,EAAE,OAAOA,EAAE,gBAAgB,KAAK,gBAAgBA,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,oBAAoBsxC,GAAG,KAAK,oBAAoB,EAAEtxC,CAAC,CAAC,EAAEugD,GAAG,UAAU,kBAAkBzmD,GAAE,cAAcymD,EAAE,EAAE,SAASC,GAAGphD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,MAAM,QAAQJ,CAAC,EAAE,CAAC,GAAG,GAAG,MAAME,GAAG,KAAK,MAAM,IAAIkpC,EAAE,+EAA+E,EAAEhpC,GAAG,OAAOF,EAAEF,EAAE,MAAMA,EAAE,OAAOI,EAAEJ,EAAE,MAAM,EAAEA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOI,CAAC,GAAGJ,EAAE,OAAO,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,MAAM,GAAGA,EAAEA,EAAE,EAAE,CAAC,SAASK,EAAE,EAAE,CAAC,OAAO,GAAG,MAAM,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,EAAEA,EAAE,CAAC,EAAEH,EAAEG,EAAEH,CAAC,EAAE,CAAC,OAAOF,EAAE,aAAa,EAAE,UAAUE,CAAC,CAAC,CAAC,SAASmhD,GAAGrhD,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAG,CAAC,OAAOrE,EAAE,IAAI,CAAC,IAAIsE,EAAE,EAAE,MAAM,OAAO,GAAGA,EAAE,EAAE,MAAM,IAAIonC,EAAE,uCAAuCpnC,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsqC,GAAG,EAAEvqC,CAAC,CAAC,EAAE,GAAG,EAAEjE,GAAG,EAAEkE,CAAC,EAAE,GAAG,KAAK,MAAM,IAAIonC,GAAG,gFAAgF,EAAE,GAAG,QAAQ,KAAK,mGAAmG,EAAEhpC,GAAG,OAAOA,EAAEtR,GAAEA,GAAEsR,EAAE,MAAM,EAAE,SAAS,EAAEA,EAAE,OAAO2B,EAAE,IAAI3B,EAAEpO,GAAGoO,EAAE,EAAE,GAAGA,EAAEtC,GAAGsC,EAAE4B,CAAC,GAAG7B,IAAI,EAAEzG,GAAG,EAAE,CAAC,EAAE0G,GAAG,OAAOA,EAAE1G,GAAG0G,EAAE,CAAC,IAAI,IAAIqC,EAAE,CAAC,EAAEC,EAAEC,EAAE1C,EAAE2C,EAAE,EAAE,MAAM,GAAGC,EAAEzE,GAAG,CAAC,EAAE2F,EAAE3D,GAAG,OAAO2D,EAAE3F,GAAGgC,CAAC,GAAG,QAAQiH,EAAE,EAAEA,EAAEzE,EAAE,EAAEyE,EAAE,CAAC,IAAI,EAAExE,EAAEwE,GAAG7C,EAAE/G,EAAE,IAAIsC,EAAE,EAAE4C,CAAC,CAAC,EAAE,GAAGvC,GAAG,KAAKsC,EAAE8B,EAAE,GAAG7B,EAAE6B,EAAE,OAAO,CAAC,IAAIC,EAAEhH,EAAE,IAAI,CAAC,IAAIiH,EAAEX,EAAEsD,GAAG1C,EAAEhI,GAAGrF,GAAGoN,CAAC,EAAEA,CAAC,EAAEE,EAAE3X,EAAE4J,EAAE2N,EAAE,GAAGE,CAAC,EAAE7N,EAAE8L,EAAE,GAAGgC,CAAC,CAAC,EAAEG,EAAEnC,EAAE,IAAI,CAAC2E,EAAEvC,IAAI9X,EAAE4J,EAAE2N,EAAE,GAAGO,GAAGL,CAAC,EAAE7N,EAAEyQ,EAAE3C,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,UAAUE,CAAC,CAAC,CAAC,EAAEpC,EAAE+B,EAAE,OAAO9B,EAAE8B,EAAE,SAAS,CAAC3C,GAAGW,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI,EAAE,OAAOZ,IAAI,EAAEvF,GAAGkG,EAAE,CAAC,GAAG,CAACC,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIha,GAAG,cAAc0nD,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIV,EAAE,GAAGU,EAAE,MAAM,KAAK,MAAM,IAAIwoC,EAAE,sDAAsD,EAAE,GAAG,MAAM,QAAQxoC,EAAE,IAAI,EAAEV,EAAE,IAAIohD,GAAG,CAAC,MAAM1gD,EAAE,IAAI,CAAC,EAAEV,EAAEU,EAAE,KAAKV,EAAE,WAAW,KAAK,MAAM,IAAIkpC,EAAE,mGAAmG,EAAE,KAAK,KAAKlpC,EAAE,KAAK,gBAAgBU,EAAE,iBAAiB,KAAK,GAAGA,EAAE,gBAAgB,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,UAAUA,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,KAAK,QAAQ,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIsb,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,OAAO2rC,GAAG,EAAE3rC,CAAC,EAAE,IAAIV,GAAG,IAAI,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,UAAUU,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,mBAAmBA,EAAE,CAAC8uC,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIV,EAAE,KAAK,KAAK,UAAU,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI,EAAEA,EAAE,GAAGG,EAAE,GAAG,KAAK,gBAAgBA,EAAE,CAACO,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAEP,EAAE,CAACO,EAAE,GAAG,CAAC,EAAE,KAAK,YAAY,CAAC,IAAIiB,EAAE,CAAC,EAAE,QAAQC,KAAK5B,EAAE2B,EAAE,KAAK,CAACjB,EAAE,GAAGkB,CAAC,CAAC,EAAE,MAAM,CAACzB,CAAC,EAAE,OAAOwB,CAAC,CAAC,KAAM,QAAOxB,CAAC,CAAC,YAAYO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,MAAM,QAAQwC,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,KAAK,gBAAgBA,EAAE,KAAK,GAAG,KAAK,YAAY,CAAC,IAAIG,EAAE,KAAK,OAAO,IAAIwB,GAAG,IAAI,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOxB,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIO,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAEV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEU,EAAE,EAAE,EAAEV,EAAE,KAAK,IAAI,EAAE,OAAOA,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,IAAI,OAAOU,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,MAAM,IAAIyoC,GAAG,kDAAkD,EAAEqG,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIR,EAAE,KAAK,SAASQ,EAAE,GAAG,KAAKP,EAAEO,EAAE,MAAM,CAAC,EAAE,KAAK,UAAU,GAAG,IAAItb,GAAG,CAAC,MAAM,CAAC8a,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,EAAE,IAAIwB,EAAE,CAACjB,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,KAAK,MAAMiB,CAAC,EAAE,IAAIC,EAAE,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAEA,EAAE,KAAK,KAAK,UAAUA,EAAE,CAAC,KAAK,KAAK,SAAS,EAAE,KAAK,WAAW,MAAM,GAAG,CAACtD,EAAE,YAAY,KAAK,UAAU,IAAIuD,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,EAAE,EAAED,CAAC,EAAE,MAAM,IAAIsnC,EAAE,6FAA6F,KAAK,wCAAwC,KAAK,KAAK,WAAW,OAAO,KAAK,UAAUtnC,EAAE,IAAIC,GAAG,IAAIzc,GAAG,CAAC,MAAM,CAAC,KAAKyc,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,YAAY,CAAC,CAAC,YAAYnB,EAAEV,EAAE,GAAG,CAACxC,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIwrC,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAM,GAAG,GAAG,GAAG,KAAK,MAAM,IAAIE,EAAE,uUAAuU,EAAE,GAAG,KAAK,SAAS,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI/oC,GAAGd,GAAG,CAAC,EAAEc,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACd,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,UAAUqB,GAAG,KAAK5P,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAIqP,GAAGd,GAAG,CAAC,EAAEc,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAGd,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQqB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCxoC,EAAE,0CAA0CA,GAAG,EAAEV,IAAI,GAAG,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAElP,GAAG,KAAK,OAAO,EAAE,QAAQqP,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAGyB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAUzB,GAAG,KAAK,KAAK,UAAU0B,EAAE,CAAC,EAAED,CAAC,EAAE,GAAG,CAACtD,EAAE,YAAYqD,EAAE,MAAME,CAAC,EAAE,MAAM,IAAIqnC,EAAE,SAAS/oC,gCAAgC,KAAK,wBAAwB0B,qBAAqBF,EAAE,OAAO,EAAE,KAAK,QAAQxB,GAAGwB,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAIxB,GAAGjM,GAAGiM,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMO,EAAEV,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaG,EAAEH,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI2B,EAAEu/C,GAAGxgD,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAEO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,IAAIC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC7B,EAAE,aAAa,EAAE4B,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,UAAU,CAAC,EAAE,QAAQG,KAAK,EAAE,KAAK,UAAU,KAAK,IAAI3c,GAAG,CAAC,MAAM2c,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAEA,EAAE,OAAO,KAAK,SAAS,CAAC,CAAC,GAAG1B,GAAG,OAAOH,EAAE,UAAUG,EAAEyB,EAAEA,EAAE,OAAOzB,CAAC,EAAE,KAAK,aAAaA,EAAE,QAAQyB,EAAE,aAAa/V,GAAG,CAAC,IAAIkW,EAAE,CAACrB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAEY,EAAE,KAAK,UAAU,KAAK,UAAUD,EAAE,IAAIE,EAAE,MAAM,MAAMX,EAAE/B,CAAC,EAAE,OAAO,KAAK,UAAUyC,EAAEC,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAaU,EAAEgvC,GAAGhvC,CAAC,EAAEiB,GAAG,OAAO,KAAK,SAASA,EAAE,KAAK,QAAQA,EAAE,KAAK,gBAAgBjB,CAAC,GAAG,IAAIkB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,GAAGD,EAAE,SAASC,EAAE,MAAM,IAAIsnC,EAAE,iBAAiBtnC,6BAA6BD,EAAE,0BAA0B,EAAE,KAAK,QAAQ,QAAQ,KAAK,kEAAkE,EAAE,IAAIE,EAAE,CAAC,SAAS1B,CAAC,EAAE4B,EAAEo/C,GAAG,CAACv+C,EAAE,IAAI,CAAC,IAAImB,EAAE,KAAK,KAAK,KAAK,CAACnB,CAAC,EAAE,OAAO,CAAC,EAAEf,CAAC,EAAE,MAAM,CAACkC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAErD,EAAEiB,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,OAAO,KAAK,eAAe,EAAEa,EAAET,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAEX,EAAE,GAAG,KAAK,UAAU,KAAK,YAAYW,EAAEvC,CAAC,EAAE,IAAIwC,EAAE,KAAK,gBAAgBF,EAAED,EAAE,OAAO,KAAK,YAAY,CAACG,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,gBAAgBjC,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEX,GAAGqB,EAAE,KAAK,EAAE,OAAOV,EAAErD,GAAGqD,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE0sC,GAAG1sC,CAAC,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,IAAI,GAAG,EAAE,EAAE4sC,GAAG5sC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,CAAC,EAAE,KAAK,KAAK,UAAU,EAAE,CAAC4sC,GAAG5sC,EAAE,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,iBAAiB,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,oBAAoB,KAAK,KAAK,OAAO,CAAC,6BAA6BU,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,MAAM,MAAM,KAAK,KAAK,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,gBAAgB,KAAK,gBAAgB,YAAY,KAAK,YAAY,YAAY,KAAK,YAAY,SAAS,KAAK,SAAS,OAAO,KAAK,MAAM,EAAE,KAAK,cAAc,OAAOA,EAAE,aAAa,KAAK,cAAc,IAAI,EAAE,KAAK,KAAK,UAAU,EAAE,OAAO,KAAK,aAAa,IAAItX,GAAG,YAAYsX,EAAE,KAAK,CAAC,UAAU,KAAK,KAAK,aAAa,EAAE,OAAO,CAAC,GAAG,OAAO,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEU,CAAC,EAAEV,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAEH,EAAE,KAAK2B,EAAE42C,GAAGp4C,EAAE,CAAC,EAAE,OAAO,IAAIO,EAAE,OAAO,OAAOV,EAAE,CAAC,KAAK2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEjZ,GAAG,UAAU,MAAM8R,GAAE,cAAc9R,EAAE,EAAE,IAAIwqD,GAAG,cAAc9C,EAAE,CAAC,EAAEiR,GAAG,cAAcnO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,YAAY,KAAK,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAACA,EAAEA,EAAE,OAAO,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,8CAA8CxoC,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,GAAGA,EAAEA,EAAE,GAAG,IAAIP,EAAEH,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYshD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAASP,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBmhD,GAAG,CAAC,KAAK,IAAIjqD,GAAG,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS8I,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAEC,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBD,GAAG,KAAKD,EAAE0rC,GAAGz2C,EAAE8J,EAAEkB,CAAC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAED,EAAE0rC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOiB,EAAE8rC,GAAG9rC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAGE,GAAG,OAAO,EAAEjL,EAAE,EAAEiL,CAAC,GAAG,IAAIC,EAAE9U,EAAE2U,EAAE0rC,GAAG,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOvrC,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAG,CAACA,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpB,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,gBAAgB,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAEqhD,GAAG,UAAU,gBAAgB7mD,GAAE,cAAc6mD,EAAE,EAAE,IAAIE,GAAG,cAAc74D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,KAAK,IAAI2gD,GAAG3gD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAEuhD,GAAG,UAAU,YAAY/mD,GAAE,cAAc+mD,EAAE,EAAE,IAAIC,GAAG,cAActO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQA,EAAE,WAAW,MAAM,IAAIwoC,EAAE,6DAA6D,EAAE,KAAK,MAAMxoC,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBm+C,GAAGn+C,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAACV,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uDAAuDxoC,EAAE,SAAS,EAAE,IAAI,EAAEV,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASG,EAAEO,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAY4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqB4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAEC,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAIpB,EAAE9J,EAAE8J,EAAEiB,EAAE,EAAE,GAAG,IAAIa,EAAE6qC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,UAAU8B,EAAEirC,GAAGjrC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIrC,EAAEvJ,EAAEuJ,EAAEyB,EAAE,EAAE,GAAG,IAAI,EAAE,KAAK,gBAAgB,KAAK,EAAE,CAACc,EAAEC,CAAC,EAAE1G,GAAG,EAAE,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,CAAC,EAAE2G,EAAEyqC,GAAGltC,EAAEuC,CAAC,EAAE,CAACoB,EAAEC,EAAEqD,CAAC,EAAEnL,GAAGuG,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAE,CAACoC,EAAEL,CAAC,EAAEtI,GAAG2G,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEf,EAAE,KAAK,oBAAoB,MAAM7U,EAAE8W,EAAEc,CAAC,CAAC,EAAE9C,EAAE,KAAK,oBAAoB,MAAM9U,EAAE+W,EAAEQ,CAAC,CAAC,EAAE,IAAIC,EAAE6oC,GAAGz2C,EAAEkL,EAAE3B,CAAC,EAAEwC,CAAC,EAAE,EAAE,KAAK,WAAW,MAAM3V,EAAEoa,EAAE5C,CAAC,CAAC,EAAE,IAAIC,EAAEzX,EAAE4J,EAAEiL,EAAE1B,CAAC,EAAEvJ,EAAE5J,EAAE,EAAE+J,GAAG8K,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC4C,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/D,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,eAAe,WAAW,EAAE,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAEwhD,GAAG,UAAU,UAAUhnD,GAAE,cAAcgnD,EAAE,EAAE,IAAIC,GAAG,cAAc/4D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAI8gD,GAAG9gD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAEyhD,GAAG,UAAU,MAAMjnD,GAAE,cAAcinD,EAAE,EAAE,IAAIC,GAAG,cAAcxO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBm+C,GAAGn+C,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAeA,EAAE,eAAe,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAAC,IAAIV,EAAEU,EAAEivC,GAAGjvC,CAAC,EAAE,IAAI,EAAEA,EAAEA,EAAE,OAAO,GAAG,KAAK,OAAO,KAAK,UAAU,SAAS,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,IAAIP,EAAE,GAAG,KAAK,QAAQ,CAAC,GAAG,KAAK,eAAe,CAAC,IAAIwB,EAAE,KAAK,gBAAgBC,EAAE,KAAK,MAAMzB,EAAE,IAAIH,EAAE,cAAcmuC,EAAE,CAAC,MAAMrsC,EAAEC,EAAE,CAAC,IAAIS,EAAEb,EAAE,MAAM,CAACC,CAAC,CAAC,EAAEa,EAAE,IAAI4rC,GAAG,EAAE,MAAM,CAACzsC,CAAC,CAAC,EAAEc,EAAEf,EAAE,MAAM,CAACC,EAAE,CAAC,CAAC,EAAE,OAAOurC,GAAGA,GAAG3qC,EAAEC,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAE1C,EAAE,UAAU,aAAaA,EAAE,MAAMG,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAKA,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,MAAM,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,GAAGU,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wDAAwDxoC,EAAE,SAAS,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGA,EAAEA,EAAE,GAAG,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAY4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqB4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIyB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAE,EAAEU,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAI9B,EAAE9J,EAAE8J,EAAEkB,EAAE,EAAE,GAAG,IAAIc,EAAE2qC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIP,EAAEvJ,EAAEuJ,EAAE0B,EAAE,EAAE,GAAGa,EAAE1V,EAAE0V,EAAE2qC,GAAGltC,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,KAAK,UAAUuC,EAAE+qC,GAAG/qC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,GAAG,CAACC,EAAEC,EAAEkB,EAAEC,CAAC,EAAE9H,GAAGyG,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEZ,EAAE,KAAK,oBAAoB,MAAMa,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAEJ,EAAExV,EAAE4J,EAAE,EAAE+K,CAAC,EAAE/K,EAAEkL,EAAE,KAAK,WAAW,MAAMgC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAE,IAAIqD,EAAExQ,EAAE,EAAE,KAAK,WAAW,MAAM4L,CAAC,CAAC,EAAE,MAAM,CAAC4E,EAAEA,EAAE5E,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9B,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,eAAe,KAAK,eAAe,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,cAAc,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAE0hD,GAAG,UAAU,WAAWlnD,GAAE,cAAcknD,EAAE,EAAE,IAAIC,GAAG,cAAcj5D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAIghD,GAAGhhD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE2hD,GAAG,UAAU,OAAOnnD,GAAE,cAAcmnD,EAAE,EAAE,IAAIP,GAAG,cAAclO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAEU,EAAE,KAAK,GAAGV,EAAE,SAAS,EAAEU,EAAE,KAAKV,EAAE,SAAS,EAAE,OAAOU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEA,EAAE,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQ0B,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE0B,EAAE,UAAU,MAAM,CAAC,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,EAAEA,EAAE,QAAQ,EAAE,IAAIwB,EAAE,CAAC,EAAEC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,MAAM,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,GAAG,EAAE1B,EAAE0B,GAAGA,IAAI,EAAED,EAAE,CAAClB,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEkB,EAAE,CAACA,EAAE,EAAE,EAAE,OAAO,CAAC,EAAEA,EAAEE,EAAE,KAAKF,EAAE5B,CAAC,EAAE2B,EAAE,KAAKC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,KAAK,GAAGE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMlB,EAAE,CAAC8uC,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,IAAIA,EAAEA,EAAE,IAAIV,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAEG,IAAI,CAACwrC,GAAG,WAAWxrC,IAAI,IAAI,CAAC,EAAE,MAAMO,CAAC,EAAE,MAAM,QAAQ,EAAE,SAAS,EAAEV,EAAE,EAAE,UAAU,GAAGA,EAAE,EAAE,UAAUU,EAAE,CAACA,EAAE,GAAGV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAEV,EAAE2B,IAAI,CAAC,UAAUA,EAAE,aAAa,EAAE,OAAOA,EAAE,UAAU,CAAC,GAAGxB,EAAE,CAAC,MAAM,KAAK,MAAM,IAAIH,CAAC,CAAC,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEU,CAAC,EAAEP,CAAC,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,QAAQwB,KAAK3B,EAAE,MAAMG,EAAE,KAAKo4C,GAAG52C,EAAE,CAAC,CAAC,EAAE,OAAO,IAAIjB,EAAE,CAAC,MAAMP,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIO,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,gBAAgB,EAAE,OAAOU,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAMA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOU,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,YAAY,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,OAAO,EAAE,OAAO+vC,GAAGrvC,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAM,CAAC,IAAIG,EAAE,EAAE,QAAQ,OAAOwB,EAAEjB,EAAE,OAAOP,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE5B,EAAE,KAAK,CAAC,EAAE,QAAQ4B,GAAGD,EAAEC,EAAE,CAAC,CAAC,CAACouC,GAAGhwC,CAAC,CAAC,CAAC,EAAEohD,GAAG,UAAU,kBAAkB5mD,GAAE,cAAc4mD,EAAE,EAAE,SAASE,GAAGxhD,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,KAAKE,EAAE,SAASE,EAAE,GAAG,MAAMC,EAAE,EAAE,YAAY,CAAC,EAAEL,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,EAAE,EAAEE,CAAC,EAAE4tC,GAAG,EAAE,EAAE5tC,CAAC,EAAE6B,EAAE,IAAIisC,GAAG,EAAE,EAAE5tC,CAAC,EAAE,MAAM,CAACC,GAAGA,GAAG,EAAEjM,GAAG2N,EAAE,EAAE,MAAM,CAAC,EAAE,MAAM1B,CAAC,EAAE,KAAK,MAAM,EAAE,IAAI0B,CAAC,EAAE,IAAI,GAAG3N,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,IAAI0tD,GAAG,SAAS9hD,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,OAAO,UAAU,eAAe,KAAKA,EAAEI,CAAC,GAAG,EAAE,QAAQA,CAAC,EAAE,IAAIF,EAAEE,GAAGJ,EAAEI,IAAI,GAAGJ,GAAG,MAAM,OAAO,OAAO,uBAAuB,WAAW,QAAQK,EAAE,EAAED,EAAE,OAAO,sBAAsBJ,CAAC,EAAEK,EAAED,EAAE,OAAOC,IAAI,EAAE,QAAQD,EAAEC,EAAE,EAAE,GAAG,OAAO,UAAU,qBAAqB,KAAKL,EAAEI,EAAEC,EAAE,IAAIH,EAAEE,EAAEC,IAAIL,EAAEI,EAAEC,KAAK,OAAOH,CAAC,EAAM6hD,GAAG,cAAcn5D,EAAE,CAAC,YAAYgY,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAM,IAAIyoC,GAAG,oDAAoD,EAAE,GAAG,MAAM,QAAQzoC,EAAE,IAAI,EAAE,MAAM,IAAIyoC,GAAG,gEAAgE,EAAE,MAAMzoC,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKsb,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAMkP,GAAGA,EAAE,UAAU,MAAM,IAAIkpC,EAAE,2CAA2C,EAAE,IAAI,EAAElpC,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBjB,EAAE,CAAC,IAAIV,EAAE,KAAK,yBAAyBU,CAAC,EAAE,OAAO,KAAK,kBAAkBV,EAAE,CAACA,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK,cAAcA,EAAE,CAACA,EAAE,GAAG,MAAM,CAAC,EAAE,KAAK,CAACU,EAAE,GAAG,GAAGV,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,GAAGA,CAAC,CAAC,gBAAgBU,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,GAAG,CAAC,UAAUwC,CAAC,EAAE,KAAK,KAAK,EAAEU,EAAE,MAAMP,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAEyB,EAAEvC,GAAGsC,CAAC,EAAE,OAAO,MAAM,QAAQ3B,CAAC,EAAE,MAAMA,EAAE,MAAM,EAAE,KAAK4B,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYlB,EAAEV,EAAE,GAAG,CAACxC,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIwrC,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,GAAG,MAAM7oC,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,GAAG,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAE,GAAG,EAAE,IAAI,KAAK,MAAM,IAAI+oC,EAAE,uUAAuU,EAAE,GAAG,KAAK,UAAU,GAAG,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAI7pC,GAAGsC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACtC,GAAGsC,CAAC,CAAC,UAAUjB,GAAG,KAAK5P,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAIuO,GAAGsC,CAAC,CAAC,EAAE,KAAK,QAAQ,GAAGtC,GAAGsC,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQjB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCxoC,EAAE,0CAA0CA,GAAG,EAAEV,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAElP,GAAG,KAAK,OAAO,EAAE,QAAQ+Q,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,GAAGE,EAAEJ,EAAE,GAAG,CAACrD,EAAE,YAAYwD,EAAE,MAAMC,CAAC,EAAE,MAAM,IAAImnC,EAAE,SAASrnC,gCAAgC,KAAK,wBAAwBE,qBAAqBD,EAAE,OAAO,EAAE,KAAK,QAAQD,GAAGC,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAID,GAAG3N,GAAG2N,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,yBAAyBnB,EAAE,CAAC,GAAG,CAAC,WAAWV,EAAE,QAAQ,EAAE,WAAWG,EAAE,QAAQwB,EAAE,QAAQC,EAAE,aAAaC,CAAC,EAAE,KAAK,KAAKC,EAAE9B,IAAI,gBAAgB,EAAEU,EAAEoB,EAAE,EAAE,GAAGU,EAAE9B,EAAEoB,EAAE,EAAE,GAAG,EAAEg+C,GAAG,EAAE3/C,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAEa,EAAEo9C,GAAGt9C,EAAErC,EAAE,GAAGwB,EAAEC,EAAE,GAAGC,EAAE,EAAE,EAAE,MAAM,CAAC,GAAGnB,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGoB,EAAE,CAAC,EAAE,EAAEY,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEm/C,GAAG,UAAU,YAAY,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhhD,EAAE,CAAC,GAAG,CAAC,QAAQV,EAAE,WAAW,EAAE,QAAQG,EAAE,QAAQwB,EAAE,WAAWC,EAAE,aAAaC,CAAC,EAAEnB,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,MAAMV,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQA,EAAEuqC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,WAAWsV,GAAG,EAAE,EAAE,YAAY,EAAE,KAAK,WAAW,QAAQ/9C,GAAGyoC,GAAGzoC,EAAE,YAAY,CAAC,EAAE,KAAK,QAAQ+9C,GAAG1/C,GAAG,EAAE,EAAE,SAAS,EAAE,KAAK,QAAQ,QAAQ2B,GAAGyoC,GAAGzoC,EAAE,SAAS,CAAC,EAAE,KAAK,QAAQH,GAAG,QAAQ4pC,GAAG,KAAK,OAAO,EAAE,KAAK,WAAW3pC,GAAG,eAAeypC,GAAG,KAAK,UAAU,EAAE,KAAK,aAAawU,GAAGh+C,GAAG,EAAE,EAAE,cAAc,EAAE,KAAK,aAAa,QAAQC,GAAGyoC,GAAGzoC,EAAE,cAAc,CAAC,CAAC,CAAC,MAAMpB,EAAE,CAAC,IAAIV,EAAEU,EAAEivC,GAAGjvC,CAAC,EAAE,IAAI,EAAE,KAAK,aAAa,gBAAgB,EAAEA,EAAE,OAAO,EAAE,GAAGA,EAAE,IAAI,KAAK,MAAM,IAAIwoC,EAAE,+DAA+DxoC,EAAE,IAAI,EAAE,IAAIP,EAAEO,EAAE,GAAGiB,EAAE,EAAEC,EAAE,KAAK,WAAW,OAAO,CAACzB,EAAE,KAAK,QAAQwB,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,IAAIC,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,KAAK,QAAQF,CAAC,CAAC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBE,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,CAAC,IAAIC,EAAE,GAAG,KAAK,eAAe,CAAC,IAAI,EAAE,KAAK,gBAAgBU,EAAE,KAAK,QAAQV,EAAE,IAAI9B,EAAE,cAAcmuC,EAAE,CAAC,MAAMzrC,EAAEC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,CAACJ,CAAC,CAAC,EAAE,EAAEpL,GAAG,CAACoL,CAAC,CAAC,EAAEuB,EAAE,EAAE,MAAM,CAACvB,EAAE,CAAC,CAAC,EAAE,OAAO0qC,GAAG,CAACtqC,EAAE,EAAEmB,CAAC,CAAC,CAAC,CAAC,EAAE/D,EAAE,UAAU,aAAaA,EAAE,MAAM8B,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,QAAQH,CAAC,EAAE,KAAKG,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,CAAC,KAAK,MAAM,EAAE,CAAC,KAAKpB,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,8DAA8DxoC,EAAE,SAAS,EAAE,IAAI,EAAEV,EAAE,UAAU,GAAGG,EAAEO,EAAE,GAAGiB,EAAEjB,EAAE,GAAGkB,EAAElB,EAAE,GAAGmB,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYy/C,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM0B,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIC,EAAE,KAAK,YAAY,EAAE,CAACmG,EAAGC,EAAGC,KAAK,CAACD,GAAI,CAACA,EAAGC,IAAIF,EAAGrR,EAAEsR,EAAGC,IAAIF,CAAE,EAAEzF,EAAE,EAAErC,EAAE2B,EAAE,CAAC,EAAE,EAAE,EAAE3B,EAAE2B,EAAE,CAAC,EAAEY,EAAE,EAAEvC,EAAE2B,EAAE,CAAC,EAAEa,EAAE,EAAExC,EAAE2B,EAAE,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBw/C,GAAG,CAAC,KAAK,IAAIjqD,GAAGsK,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAME,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIe,EAAE,KAAK,qBAAqBkB,EAAE,EAAEnC,EAAEiB,EAAE,CAAC,EAAEmB,EAAE,EAAEpC,EAAEiB,EAAE,CAAC,EAAEwE,EAAE,EAAEzF,EAAEiB,EAAE,CAAC,EAAEgC,EAAE,EAAEjD,EAAEiB,EAAE,CAAC,EAAE2B,EAAE,EAAE,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE1I,GAAG,KAAK,OAAO,KAAK,EAAE4F,EAAE0C,CAAC,EAAE,CAACM,EAAEwC,EAAEvC,EAAEC,CAAC,EAAE,KAAK,QAAQ9I,GAAG,KAAK,KAAK,KAAK,EAAE4F,CAAC,EAAE,CAAC,KAAK,KAAK,KAAK,IAAI,EAAEW,EAAE,KAAK,UAAUA,EAAEgC,EAAEK,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,UAAU,EAAEJ,EAAE4C,EAAE,KAAK,OAAO,EAAE3E,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAEnC,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAElJ,GAAG,KAAK,gBAAgB,KAAK,EAAE4F,EAAE0C,CAAC,EAAET,EAAE,KAAK,cAAcA,EAAEkB,CAAC,EAAEjB,EAAE,KAAK,cAAcA,EAAEkB,CAAC,EAAEmC,EAAE,KAAK,cAAcA,EAAElC,CAAC,EAAEN,EAAE,KAAK,cAAcA,EAAEO,CAAC,EAAE,IAAI2C,EAAE,KAAK,oBAAoB,MAAM9a,EAAEwV,EAAEsB,CAAC,CAAC,EAAEyD,EAAE,KAAK,oBAAoB,MAAMva,EAAE,EAAE+W,CAAC,CAAC,EAAEgE,EAAE/a,EAAE4J,EAAE2Q,EAAE3F,CAAC,EAAEhL,EAAEkR,EAAE,KAAK,WAAW,MAAM9a,EAAE0V,EAAE0E,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAGpR,EAAE,KAAK,oBAAoB,MAAM5J,EAAE2V,EAAEiC,CAAC,CAAC,EAAE,KAAK,WAAW,MAAMmD,CAAC,CAAC,EAAE,MAAM,CAACC,EAAGA,EAAGD,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIrH,EAAE,MAAM,UAAU,EAAE,CAAC,MAAMV,CAAC,EAAEU,EAAE,EAAEkhD,GAAGlhD,EAAE,CAAC,OAAO,CAAC,EAAEP,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,QAAQ,KAAK,OAAO,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEA,CAAC,CAAC,CAAC,UAAUO,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAElS,GAAGiR,EAAEV,EAAE,KAAK,QAAQG,GAAG,QAAQ,KAAK,aAAa,gBAAgB,OAAO,OAAO,KAAK,YAAY,EAAE,OAAO,EAAEstC,GAAG9rC,EAAE,EAAE,KAAK,UAAU,EAAEA,CAAC,CAAC,cAAcjB,EAAEV,EAAE,CAAC,OAAOvQ,GAAGiR,EAAEV,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,OAAO,MAAM,CAAC,CAAC,EAAE8hD,GAAG,UAAU,iBAAiBtnD,GAAE,cAAcsnD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYnhD,EAAE,CAAC,IAAIV,EAAE,IAAI8hD,GAAGphD,CAAC,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE+hD,GAAG,UAAU,aAAavnD,GAAE,cAAcunD,EAAE,EAAE,IAAIC,GAAG,cAAc5R,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,IAAI,KAAK,IAAIA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,WAAWA,EAAE,WAAW,KAAK,KAAKA,EAAE,KAAK,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,OAAO,KAAK,WAAW,IAAIV,EAAEU,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,WAAW,OAAO,EAAEA,EAAE,EAAE,KAAK,KAAK,WAAWA,IAAI,KAAKH,EAAEG,GAAG,KAAK,WAAWA,EAAE,EAAE,OAAO,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,IAAIP,EAAEH,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS2B,EAAE,KAAK,cAAc,CAAC,EAAE,OAAOmsC,GAAG,IAAIF,GAAG,EAAE,KAAK,KAAKjsC,EAAE,KAAK,IAAI,EAAE,IAAI,EAAExB,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEshD,GAAG,UAAU,UAAUxnD,GAAE,cAAcwnD,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYthD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIV,EAAEU,EAAE,MAAM,MAAM,CAACV,EAAE,GAAG,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAEiiD,GAAG,UAAU,mBAAmBznD,GAAE,cAAcynD,EAAE,EAAE,IAAIC,GAAG,cAAc9R,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,GAAG,KAAK,OAAO,KAAK,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,MAAMA,EAAE,UAAU,KAAK,CAAC,IAAIV,EAAE,KAAKU,EAAE,WAAW,OAAOV,EAAEU,EAAE,WAAW,KAAK,gBAAgB,CAACV,EAAEU,EAAE,QAAQ,CAAC,CAAC,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,UAAU,EAAEA,EAAE,SAAS,OAAO,KAAK,QAAQA,EAAE,SAAS,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,oBAAoB4+C,GAAG5+C,EAAE,mBAAmB,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAEA,EAAE,OAAO,GAAG,KAAK,QAAQ,OAAO,KAAK,OAAO,KAAK,UAAU,SAAS,CAACV,EAAE,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,IAAI,KAAK,UAAU,CAAC,CAAC,QAAQ,EAAE,KAAK,CAAC,CAAC,IAAIA,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,mBAAmBU,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAOV,EAAEA,EAAE,OAAO,GAAG,KAAK,MAAMA,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAEuqC,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE/oC,EAAE,OAAOxB,GAAG,KAAKwB,EAAE0rC,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEltC,EAAE,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,IAAI,GAAGwB,EAAE0rC,GAAG,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAO1rC,EAAE8rC,GAAG9rC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,IAAIA,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,MAAM,KAAK,MAAM,WAAWi+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,eAAeA,GAAG,KAAK,cAAc,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEwhD,GAAG,UAAU,QAAQ1nD,GAAE,cAAc0nD,EAAE,EAAE,IAAIC,GAAG,cAAc/R,EAAE,CAAC,YAAY1vC,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,EAAE,KAAK,WAAWA,EAAE,UAAU,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,QAAQV,KAAKU,EAAE,MAAM,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,iEAAiExoC,EAAE,MAAM,CAAC,kHAAkH,EAAE,MAAM,CAACA,EAAE,GAAGwrC,GAAGxrC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,GAAG,KAAK,aAAa,iBAAiB,EAAE,KAAK,EAAE,CAAC,IAAIP,EAAE,CAAC,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,KAAK,EAAEA,EAAExB,EAAE,KAAKwB,CAAC,EAAExB,EAAE,KAAK,CAAC,EAAE,EAAEtC,GAAG,EAAEsC,CAAC,CAAC,CAAC,OAAO2sC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpsC,EAAE,CAAC,EAAE,KAAK,YAAY,OAAOA,EAAE,WAAW,KAAK,YAAY,IAAIV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEyhD,GAAG,UAAU,UAAU3nD,GAAE,cAAc2nD,EAAE,EAAE,IAAIC,GAAG,cAAchS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,WAAWm+C,GAAGn+C,EAAE,UAAU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,WAAW,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAWi+C,GAAG,KAAK,UAAU,CAAC,EAAE3+C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE0hD,GAAG,UAAU,aAAa5nD,GAAE,cAAc4nD,EAAE,EAAE,IAAIC,GAAG,cAAcjS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,EAAEA,EAAE,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,MAAM,CAACA,EAAE,GAAG,KAAK,EAAEA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEisC,GAAGjsC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,KAAK,CAAC,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE2hD,GAAG,UAAU,eAAe7nD,GAAE,cAAc6nD,EAAE,EAAE,IAAIC,GAAG,cAAclS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,QAAQV,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAO,EAAEA,EAAE,KAAK,UAAU,KAAK,YAAYA,EAAE,IAAI,KAAK,YAAYA,GAAG,KAAK,CAAC,UAAUU,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,IAAI,CAAC,oBAAoBA,EAAEV,EAAE,CAAC,IAAI,EAAE,6CAA6CG,EAAEH,EAAE,MAAM,EAAE2B,EAAE,EAAEC,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAE3B,EAAE,OAAO,EAAE2B,EAAE,CAAC,IAAI,EAAE3B,EAAE2B,GAAG,GAAG,KAAK,UAAU,CAAC,EAAE,GAAGF,IAAI,KAAKA,EAAEE,MAAO,OAAM,IAAIonC,EAAE,0CAA0C,OAAOvnC,GAAG,CAAC,CAAC,IAAIE,EAAEqqC,GAAGxrC,CAAC,EAAE,GAAGkB,IAAI,KAAK,CAAC,GAAGD,IAAI,GAAGE,EAAEF,IAAI,EAAE,MAAM,IAAIunC,EAAE,CAAC,EAAE/oC,EAAEyB,GAAGC,EAAEF,CAAC,SAASE,IAAIF,EAAE,MAAM,IAAIunC,EAAE,CAAC,EAAE,OAAO/oC,CAAC,CAAC,mBAAmBO,EAAE,CAAC,IAAIV,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,EAAE,EAAE,CAACV,EAAE,GAAG,KAAK,CAAC,OAAOA,EAAEU,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,WAAW,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO3G,EAAE,EAAEmI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,YAAY,KAAK,WAAW,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE4hD,GAAG,UAAU,UAAU9nD,GAAE,cAAc8nD,EAAE,EAAE,IAAIC,GAAG,cAAcnS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAEA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,iFAAiF,EAAE,GAAG,CAAC,MAAM,QAAQA,EAAE,IAAI,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,eAAe,EAAE,IAAIV,EAAEqsC,GAAG,EAAE3rC,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAACpC,EAAE,YAAYoC,EAAE,KAAK,MAAM,EAAE,KAAK,EAAEV,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+B,KAAK,UAAUU,EAAE,IAAI,EAAE,4DAA4D,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAE,OAAO,KAAK,IAAI,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,KAAK,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAEP,IAAI,CAACH,EAAEG,EAAE,GAAGO,EAAE,EAAE,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOnC,GAAG6xC,GAAGhvC,CAAC,EAAE,KAAK,kBAAkB,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE6hD,GAAG,UAAU,UAAU/nD,GAAE,cAAc+nD,EAAE,EAAE,IAAIC,GAAG,cAAcpS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,EAAEA,EAAE,UAAU,KAAK,UAAU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,UAAU,KAAK,SAAS,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,GAAG,OAAOhT,GAAG+J,GAAG,EAAE,KAAK,SAAS,EAAEiJ,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,GAAGwB,EAAE,GAAGC,EAAEzU,GAAG+J,GAAG,EAAE,KAAK,SAAS,EAAEiJ,EAAEwB,CAAC,EAAE,OAAO/K,EAAE,EAAE/H,GAAE+S,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE4gD,GAAG,UAAU,UAAUhoD,GAAE,cAAcgoD,EAAE,EAAE,IAAIC,GAAG,cAAcrS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,+BAA+B,gBAAgBA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,KAAK,CAAC,IAAIV,EAAE,KAAKU,EAAE,WAAW,OAAOV,EAAEU,EAAE,WAAWA,EAAE,aAAa,KAAK,KAAK,gBAAgB,CAACV,EAAE,IAAI,EAAE,KAAK,gBAAgB,CAACA,CAAC,EAAE,OAAO0pC,GAAGhpC,EAAE,WAAW,CAAC,CAAC,CAAC,KAAK,SAASA,EAAE,SAAS6pC,GAAG,KAAK,SAAS,UAAU,EAAE,KAAK,UAAU7pC,EAAE,UAAU6pC,GAAG,KAAK,UAAU,WAAW,EAAE,KAAK,sBAAsBgF,GAAG7uC,EAAE,uBAAuB,KAAK,8BAA8B,EAAE,KAAK,sBAAsB4+C,GAAG5+C,EAAE,qBAAqB,EAAE,KAAK,oBAAoB4+C,GAAG5+C,EAAE,mBAAmB,EAAE,KAAK,qBAAqBwxC,GAAGxxC,EAAE,oBAAoB,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,gBAAgBA,EAAE,SAAS,KAAK,YAAYA,EAAE,WAAW,CAAC,MAAMA,EAAE,CAAC,KAAK,WAAW,KAAK,UAAU,aAAa,CAAC,KAAK,SAAS,KAAK,SAAS,EAAE,KAAK,MAAM,KAAK,sBAAsB,KAAK,sBAAsB,GAAG,KAAK,oBAAoB,EAAE,KAAK,MAAM,EAAE,CAAC,6BAA6BA,EAAE,CAAC,CAAC,YAAYA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,KAAK,UAAUkD,EAAEgvC,GAAGhvC,CAAC,EAAExJ,GAAGwJ,EAAEpB,GAAGoB,CAAC,CAAC,GAAG,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAE,KAAK,aAAa,KAAK,MAAM,CAAC,GAAGA,EAAE,KAAK,SAAS,EAAE,IAAIV,EAAE0pC,GAAG,KAAK,WAAW,EAAE,GAAG1pC,EAAE,SAASU,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,oBAAoB,KAAK,mDAAmDxoC,GAAG,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAIwB,EAAE3B,EAAEG,GAAGyB,EAAElB,EAAEP,EAAE,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIsnC,EAAE,oBAAoB,KAAK,mDAAmDxoC,GAAG,EAAEiB,GAAG,OAAO3B,EAAE,GAAG4B,GAAG,GAAG,CAAC,CAAC,MAAM,CAAClB,EAAE,GAAG,GAAGV,EAAE,KAAK,SAAS,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,EAAE,QAAQ,UAAU,EAAE+rC,GAAG,EAAE,OAAO,GAAG,IAAItsC,EAAEotC,GAAG,KAAK,WAAW,KAAK,EAAE/zC,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOA,EAAE2G,EAAEwvC,GAAG,KAAK,mBAAmB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjvC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,KAAK,UAAU,sBAAsB4uC,GAAG,KAAK,qBAAqB,EAAE,sBAAsB8P,GAAG,KAAK,qBAAqB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,qBAAqBpN,GAAG,KAAK,oBAAoB,EAAE,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE+hD,GAAG,UAAU,YAAYjoD,GAAE,cAAcioD,EAAE,EAAE,IAAIC,GAAG,cAActS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,MAAM,IAAIyoC,EAAE,CAAC,gCAAgCzoC,EAAEV,EAAE,CAAC,GAAGU,GAAG,MAAMV,GAAG,KAAK,OAAO,KAAK,GAAGU,EAAE,OAAOV,EAAE,OAAO,OAAO,KAAK,gCAAgCA,EAAEU,CAAC,EAAE,GAAGV,EAAE,SAAS,EAAE,OAAOU,EAAE,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOV,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAEA,EAAE,OAAOV,EAAE,OAAOG,GAAGyB,EAAE5B,EAAEG,GAAG,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,EAAE,GAAGC,EAAE,EAAE,EAAE,KAAK,IAAI,UAAUD,IAAI,EAAE,EAAE,KAAKC,CAAC,UAAUA,IAAI,EAAE,EAAE,KAAKD,CAAC,MAAM,CAAC,GAAGA,IAAIC,EAAE,MAAM,IAAIsnC,EAAE,wDAAwD,KAAK,UAAUxoC,CAAC,EAAE,IAAI,KAAK,UAAUV,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,MAAMjB,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,CAAC,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAACivC,GAAGjvC,CAAC,CAAC,GAAGA,EAAEA,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,wEAAwExoC,EAAE,kBAAkB,EAAE,IAAIV,EAAE,CAAC,EAAE,QAAQ2B,KAAKjB,EAAEiB,GAAG,MAAMA,EAAE,KAAK,MAAM3B,EAAE,KAAK2B,EAAE,EAAE,EAAE,GAAG3B,EAAEmqC,GAAGnqC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIkpC,EAAE,8EAA8E,KAAK,UAAUxoC,CAAC,IAAI,EAAE,IAAI,EAAEA,EAAE,IAAI,KAAK,KAAKA,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAEjB,EAAE,OAAO,EAAEiB,EAAE,CAAC,IAAIC,EAAElB,EAAEiB,IAAI,KAAK,KAAKjB,EAAEiB,GAAG,MAAM,CAAC,EAAE,EAAE,KAAK,gCAAgC,EAAEC,CAAC,CAAC,CAAC,IAAIzB,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,MAAM,EAAEjB,EAAE,QAAQ,IAAI,IAAI,IAAIypC,GAAGhqC,CAAC,EAAE,SAAS,EAAE,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAE,KAAK,gBAAgB,CAAC,IAAI,EAAE,CAAC,EAAEP,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,GAAGxB,EAAE,QAAQ,IAAI,IAAI,GAAG,CAAC,IAAIwB,EAAEyqC,GAAGjsC,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEH,EAAEE,EAAE,EAAEC,EAAEF,EAAE8qC,GAAG9qC,EAAE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAO,KAAK,cAAc,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE,GAAG,QAAQG,KAAKpB,EAAE,CAAC,IAAI,EAAEoB,EAAE,KAAK,GAAG,GAAG,KAAK,CAAC,IAAIU,EAAEV,EAAE,MAAM,EAAEU,EAAE,GAAGE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAEG,EAAEnJ,EAAEsI,EAAE,CAAC,CAAC,EAAE,OAAOoqC,GAAG1pC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE9E,GAAG8E,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEnJ,EAAEmJ,EAAED,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEhB,EAAE,EAAE,SAAS,EAAE,EAAE,CAAC,IAAIa,EAAE6pC,GAAG,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKxuC,GAAGiE,EAAEU,CAAC,CAAC,EAAEb,EAAE,EAAE,MAAM,EAAE,KAAKG,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,cAAc,CAAC,EAAEC,EAAED,EAAE,KAAK,GAAGD,GAAG,GAAGE,GAAG,KAAK,CAAC,IAAIC,EAAEF,EAAE,MAAM,EAAEE,EAAE,OAAOU,EAAEV,EAAE,EAAE,GAAG,EAAE,CAACU,CAAC,EAAE,OAAOV,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAEF,EAAEpI,EAAEqE,GAAGrE,EAAEoI,EAAE,CAAC,GAAGY,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASX,EAAE,EAAE,CAAC,IAAIC,EAAE,CAACD,EAAE,CAAC,EAAE,OAAOwqC,GAAG,EAAExqC,EAAE,CAAC,CAAC,EAAED,EAAE/D,GAAG+D,EAAEE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,KAAM,QAAO,KAAK,cAAclB,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEA,EAAE,IAAIV,EAAEU,EAAE,IAAI,KAAKV,EAAE,KAAKA,EAAEU,EAAE,GAAG,MAAM,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,IAAI,KAAK,KAAKO,EAAEP,GAAG,MAAM,CAAC,EAAEH,EAAE,KAAK,gCAAgCA,EAAE2B,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQxB,KAAKO,EAAEP,GAAG,MAAMA,EAAE,KAAK,MAAM,EAAE,KAAKA,EAAE,EAAE,EAAE,OAAO,EAAEgqC,GAAG,CAAC,EAAE,EAAE,SAAS,EAAEnqC,EAAE,EAAE,OAAOA,CAAC,EAAEA,EAAE,CAAC,IAAI,EAAE,OAAOA,CAAC,EAAEA,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGwC,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAIkpC,EAAE,2BAA2B,EAAE,GAAG,CAAC,MAAM,QAAQxoC,CAAC,EAAE,MAAM,IAAIwoC,EAAE,6BAA6B,EAAE,GAAGlpC,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,mGAAmGxoC,EAAE,aAAaV,EAAE,SAAS,EAAE,GAAGA,EAAE,MAAMG,GAAGA,GAAG,IAAI,EAAE,OAAO,KAAKH,EAAEA,EAAE,IAAIG,GAAGA,GAAG,KAAKA,EAAEpO,GAAGoO,EAAE,CAAC,CAAC,EAAE,IAAI,EAAEH,EAAE,GAAG,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAE,EAAEG,EAAE,EAAEhL,GAAG,EAAE6K,EAAEG,EAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEwiD,GAAG,cAAcD,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEhT,EAAEgT,EAAEU,EAAE,EAAE,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE2iD,GAAG,UAAU,MAAMnoD,GAAE,cAAcmoD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEpJ,EAAEoJ,EAAEU,EAAE,EAAE,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE4iD,GAAG,UAAU,WAAWpoD,GAAE,cAAcooD,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,GAAG,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEhT,EAAEgT,EAAEU,EAAE,EAAE,EAAE,OAAO9J,EAAE,EAAE8J,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE6iD,GAAG,UAAU,UAAUroD,GAAE,cAAcqoD,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEjK,GAAGiK,EAAEU,EAAE,EAAE,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE8iD,GAAG,UAAU,UAAUtoD,GAAE,cAAcsoD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAE3J,GAAG2J,EAAEU,EAAE,EAAE,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE+iD,GAAG,UAAU,UAAUvoD,GAAE,cAAcuoD,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uEAAuE,EAAExoC,EAAEA,EAAE,IAAIV,EAAE,GAAG,QAAQG,KAAKO,EAAE,GAAGP,GAAG,KAAK,CAACH,EAAE,GAAG,KAAK,CAAC,GAAGA,EAAE,OAAO,IAAI,EAAE,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,GAAG,MAAM,EAAEwB,EAAE,OAAO,KAAK,KAAK,CAAC,EAAE,IAAIC,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGvD,EAAE,YAAYuD,EAAEF,CAAC,EAAE,CAACC,EAAE,GAAG,KAAK,CAACA,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIunC,EAAE,4GAA4G,KAAK,UAAUxoC,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI0vC,GAAGxsC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,IAAIwoC,EAAE,6DAA6D,EAAE,IAAIlpC,EAAEU,EAAE,EAAEV,EAAE,GAAG,MAAM,EAAEG,EAAE,KAAK,KAAK,EAAE,EAAE,OAAO,KAAK,KAAK,KAAK,KAAK,QAAQwB,KAAK3B,EAAE,MAAM,CAAC,EAAE,CAAC,GAAG,EAAEG,IAAI,MAAMwB,EAAExB,IAAI,KAAK,CAAC,EAAEA,GAAG,KAAK,KAAK,CAAC,EAAEA,IAAIwB,EAAExB,EAAE,CAAC,OAAO,CAAC,CAAC,YAAYO,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAIkpC,EAAE,2CAA2C,EAAE,GAAG,CAAC,MAAM,QAAQxoC,CAAC,EAAE,MAAM,IAAIwoC,EAAE,6CAA6C,EAAE,GAAGlpC,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,mCAAmClpC,EAAE,qCAAqCU,EAAE,SAAS,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG,GAAGwC,EAAE,QAAQ4B,GAAG,CAAC,GAAGA,GAAG,KAAK,CAAC,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,EAAE,OAAO,KAAK,IAAIzB,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAElB,EAAE,OAAO,EAAEkB,EAAE5B,EAAE4B,IAAI,KAAKzB,EAAE,KAAKtR,GAAEwI,GAAGqJ,EAAEkB,EAAE,EAAE,MAAM,CAAC,EAAE5B,EAAE4B,GAAG,KAAKlB,EAAEkB,GAAG,KAAKzB,EAAE,KAAKpO,GAAGiO,EAAE4B,GAAG,EAAE,CAAC,EAAEzB,EAAE,KAAKH,EAAE4B,EAAE,EAAE,IAAID,EAAEzS,GAAGiR,EAAE,KAAK,IAAI,EAAE,OAAOjT,GAAGyU,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEsiD,GAAG,UAAU,cAAcxoD,GAAE,cAAcwoD,EAAE,EAAE,SAASC,GAAGnjD,EAAE,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAASojD,GAAGpjD,EAAE,EAAEE,EAAE,CAAC,GAAGF,EAAE,MAAM,OAAO,GAAG,EAAE,MAAM,OAAO,EAAE,MAAM,IAAIqpC,GAAG,kEAAkE,EAAE,GAAG7qC,EAAE,OAAOwB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,MAAM,QAAQ,EAAExB,EAAE,OAAOwB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuD,EAAE,MAAM,QAAQ,EAAE,OAAOE,GAAG,WAAWA,EAAE,CAACA,EAAEA,CAAC,GAAGF,EAAE,QAAQ,aAAa,EAAE,QAAQ,YAAY,MAAM,IAAIqpC,GAAG,6DAA6D,EAAE,IAAIjpC,EAAEJ,EAAE,MAAM,OAAOK,EAAE,EAAE,MAAM,OAAOH,GAAG,OAAOA,EAAE,CAACE,EAAE,EAAEC,EAAE,CAAC,GAAG,IAAI,EAAEH,EAAE,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG0C,EAAEC,EAAE,CAAC,EAAED,EAAEC,EAAE,IAAI2B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAE,EAAEtI,EAAE,EAAE,EAAE,MAAM,OAAOsI,CAAC,CAAC,CAAC,SAAS3B,EAAED,EAAE,CAAC,EAAEC,EAAED,EAAE,IAAI4B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAEhC,EAAEtG,EAAEsG,EAAEA,EAAE,MAAM,OAAOgC,CAAC,CAAC,CAAC,MAAM,EAAE,EAAE,IAAID,EAAE,GAAG/B,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE,KAAK,EAAE,GAAG+B,EAAElF,GAAG/F,EAAEkJ,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE+B,EAAElF,GAAG/F,EAAEiH,GAAGiC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,IAAIgC,EAAE,EAAE,KAAKhC,EAAE,MAAM,OAAO,EAAEiC,EAAE,EAAE,KAAK,EAAE,MAAM,OAAO,EAAEF,EAAEpM,GAAGqK,EAAE,EAAEgC,EAAEC,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAID,EAAE5B,EAAEC,EAAE2B,EAAE5B,EAAEC,EAAE,EAAE2B,EAAE5B,EAAE,EAAE,IAAI6B,EAAE,CAAC,EAAE,QAAQS,EAAEV,EAAEU,EAAEV,EAAE,EAAE,EAAEU,EAAET,EAAE,KAAKS,CAAC,EAAEX,EAAExF,GAAGwF,EAAEE,CAAC,CAAC,CAAC,OAAOF,EAAE,MAAM,SAAS,IAAIA,EAAE9P,GAAG8P,EAAE,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIshD,GAAG,cAAcT,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACpC,EAAE,OAAO,MAAM,QAAQoC,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIV,EAAEU,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAGV,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAImpC,GAAG,8DAA8D,EAAE,IAAIhpC,EAAE,KAAK,cAAcH,EAAE,CAAC,EAAE,GAAGA,EAAEG,EAAE,MAAM,EAAEA,EAAE,IAAI,MAAM,IAAI+oC,EAAE,8BAA8BlpC,EAAEG,EAAE,WAAW,EAAEA,EAAE,KAAK,CAAC,CAAC,cAAcO,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,oEAAoExoC,EAAE,kBAAkB,EAAE,IAAIV,EAAEU,EAAE,GAAG,EAAEA,EAAE,GAAGP,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAEA,EAAE,KAAK,KAAK,IAAI,CAACwB,EAAEC,IAAIqhD,GAAGthD,EAAEjB,EAAEkB,GAAG,MAAM,MAAM,CAAC,EAAEzB,EAAE,CAAC8iD,GAAG,KAAK,KAAKjjD,EAAE,MAAM,MAAM,EAAEijD,GAAG,KAAK,KAAK,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK,YAAYjjD,EAAEw4C,GAAGx4C,EAAEG,EAAE,EAAE,EAAE,EAAEq4C,GAAG,EAAEr4C,EAAE,EAAE,GAAG+iD,GAAGljD,EAAE,EAAEG,CAAC,CAAC,CAAC,cAAcO,EAAEV,EAAE,CAAC,IAAI,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,EAAE,CAACijD,GAAG,KAAK,KAAKviD,EAAE,MAAM,EAAEuiD,GAAG,KAAK,KAAKjjD,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,mBAAmBU,EAAE,CAACpC,EAAE,OAAO,MAAM,QAAQoC,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,EAAE,GAAG,MAAM,QAAQA,EAAE,EAAE,EAAE,IAAI,+DAA+D,EAAE,IAAIV,EAAEU,EAAE,GAAG,MAAM,EAAE,EAAEA,EAAE,GAAG,MAAM,EAAE,GAAGV,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAImpC,GAAG,8DAA8D,EAAE,IAAIhpC,EAAE,KAAK,cAAcH,EAAE,CAAC,EAAEA,EAAE,OAAOG,EAAE,GAAG,CAAC,EAAE,EAAE,OAAOA,EAAE,GAAG,CAAC,EAAE,EAAE,OAAO,EAAE,CAAC,EAAE,IAAIwB,EAAE3B,EAAE,OAAO,CAAC,EAAE,OAAO2B,EAAE,SAAS,GAAGA,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,OAAO,IAAI,CAAC,WAAW,CAAC,IAAIU,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEyiD,GAAG,UAAU,MAAM3oD,GAAE,cAAc2oD,EAAE,EAAE,IAAIC,GAAG,cAAchT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,OAAOA,EAAE,MAAM,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOotC,GAAG,IAAI9gD,EAAEogD,GAAG,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,IAAI,EAAEptC,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEojD,GAAG,UAAU,gBAAgB5oD,GAAE,cAAc4oD,EAAE,EAAE,IAAIC,GAAG,cAAcjT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,KAAK,GAAG,KAAK,KAAK,EAAEotC,GAAG,IAAI,CAAC,IAAInsC,EAAE,KAAK,KAAK,KAAK,MAAM,EAAE,KAAK,KAAK,EAAE,OAAO/K,EAAE,EAAEw2C,GAAG,EAAE,MAAM,EAAEzrC,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE3B,EAAE,UAAU,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEqjD,GAAG,UAAU,kBAAkB7oD,GAAE,cAAc6oD,EAAE,EAAE,IAAIC,GAAG,cAAclT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,KAAK,KAAK,WAAWA,EAAE,UAAU,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,YAAYgvC,GAAGhvC,CAAC,EAAE,KAAK,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE,CAAC,IAAI,EAAE,KAAK,eAAekD,CAAC,EAAE,OAAOotC,GAAG,IAAI,CAAC,IAAInsC,EAAE+tC,GAAGhvC,CAAC,EAAEkB,EAAE,mBAAmBC,EAAE,mBAAmBC,EAAE,CAACF,EAAEC,EAAEE,EAAEzO,GAAGoF,GAAG,CAAC,EAAE,KAAK,IAAI,EAAEqJ,EAAE0qC,GAAG1qC,EAAE,SAAS,EAAE,IAAIS,IAAI,EAAE,KAAK,OAAO,EAAE,KAAK,KAAKV,GAAG,KAAK,IAAIW,EAAE,CAACD,EAAEV,EAAE,KAAK,KAAKY,EAAE1V,EAAE4J,EAAE+K,EAAEI,CAAC,EAAEnL,EAAE5J,EAAE+U,EAAE,EAAE,EAAED,CAAC,CAAC,EAAE,OAAO9U,EAAE4J,EAAE8L,EAAEF,CAAC,EAAEC,CAAC,CAAC,EAAE,IAAIitC,GAAGhvC,CAAC,EAAEV,EAAE,UAAU,EAAE,CAAC,CAAC,OAAOU,CAAC,CAAC,CAAC,CAAC,EAAE4iD,GAAG,UAAU,eAAe9oD,GAAE,cAAc8oD,EAAE,EAAE,SAASC,GAAGzjD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,GAAGL,EAAE,OAAO,EAAE,EAAE7R,GAAG6R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,UAAUL,EAAE,OAAO,EAAE,EAAE5R,GAAG4R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,UAAUL,EAAE,OAAO,EAAE,EAAE3R,GAAG2R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,MAAO,OAAM,IAAIgpC,GAAG,2DAA2DrpC,EAAE,UAAU,EAAE,OAAO,CAAC,CAAC,SAAS0jD,GAAG1jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAI,EAAE9G,GAAGoJ,EAAEI,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAAS,MAAM,CAAC0hD,GAAGzjD,EAAE,EAAE+B,EAAE7B,EAAE,EAAEG,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS4hD,GAAG3jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAI,EAAE9G,GAAGoJ,EAAEI,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAASC,EAAE,CAAC,EAAE,QAAQc,KAAKypC,GAAG,EAAEvsC,EAAE,IAAI,EAAEI,EAAE,QAAQ0C,CAAC,IAAI,GAAGd,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKhC,EAAE,MAAM8C,EAAE,EAAE,IAAIb,EAAEvI,EAAE,EAAEsI,CAAC,EAAEU,EAAEhJ,EAAEqI,EAAEC,CAAC,EAAEW,EAAE,GAAG,KAAK,KAAKjJ,EAAE,EAAEsI,CAAC,EAAEY,EAAE1C,GAAG,KAAK,KAAKxG,EAAEwG,EAAE8B,CAAC,EAAE,MAAM,CAACyhD,GAAGzjD,EAAEiC,EAAES,EAAEE,EAAED,EAAEtC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS6hD,GAAG5jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO7B,EAAE,YAAY4B,EAAE,MAAM,EAAE,KAAK,EAAEmsC,GAAG,EAAEvsC,EAAE,KAAK,CAAC,CAAC,EAAE0jD,GAAG1jD,EAAE,EAAEE,EAAEE,EAAEC,CAAC,EAAEsjD,GAAG3jD,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,IAAIwjD,GAAG,cAAcvT,EAAE,CAAC,YAAY1vC,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,KAAK,SAASA,EAAE,UAAU,KAAK,IAAIA,EAAE,SAAS,KAAK,QAAQA,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,MAAM,EAAE,KAAK,sBAAsB6uC,GAAG7uC,EAAE,uBAAuB,OAAO,EAAE,KAAK,0BAA0B6uC,GAAG7uC,EAAE,2BAA2B,MAAM,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,gBAAgBwxC,GAAGxxC,EAAE,eAAe,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKU,EAAE,OAAO,EAAEA,EAAEV,GAAG,GAAG,GAAG,KAAK,MAAM,IAAIkpC,EAAE,QAAQlpC,gGAAgG,KAAK,UAAUU,CAAC,IAAI,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAKsb,EAAE,OAAO,KAAK,CAAC,CAACV,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,KAAK,QAAQ,KAAK,MAAM,KAAK,UAAU,QAAQA,EAAE,KAAK,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,GAAG,KAAK,SAAS,KAAK,KAAK,KAAK,UAAU,OAAOA,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,WAAW,KAAK,UAAU,cAAcA,EAAE,KAAK,KAAK,sBAAsB,KAAK,EAAE,EAAE,KAAK,eAAe,KAAK,UAAU,kBAAkBA,EAAE,KAAK,KAAK,0BAA0B,KAAK,EAAE,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASG,EAAEuvC,GAAGhvC,CAAC,EAAEiB,EAAExB,EAAE,MAAMyB,EAAED,EAAE,OAAOE,EAAEwqC,GAAG,EAAEzqC,CAAC,EAAEE,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKF,EAAEC,EAAE,OAAOC,EAAE,CAAC,EAAE,IAAI,EAAEwnC,GAAG,EAAE1nC,CAAC,EAAE,EAAEE,GAAGH,EAAEG,GAAG,IAAIU,EAAEX,EAAE,MAAM,EAAEW,EAAE,KAAK,EAAE,IAAI,EAAE,CAAClE,EAAE,YAAYkE,EAAE6pC,GAAG,EAAEzqC,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,CAAC,EAAEc,EAAE,IAAI,CAAC,GAAG,EAAE,CAAC,IAAIkC,EAAEpL,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,EAAE+K,EAAE/K,EAAE,KAAK,eAAe,KAAK,EAAE,CAAC,EAAEgL,EAAE,KAAK,OAAOhL,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,KAAKiL,EAAE,KAAK,MAAMjL,EAAE,KAAK,MAAM,KAAK,EAAE,CAAC,EAAE,KAAK,OAAO+pD,GAAGpjD,EAAEyE,EAAEL,EAAEC,EAAEC,EAAE,KAAK,OAAO,CAAC,KAAM,QAAO8+C,GAAGpjD,EAAE,KAAK,WAAW,KAAK,EAAE,KAAK,eAAe,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,KAAK,OAAO,KAAK,KAAK,KAAK,MAAM,KAAK,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAAC,EAAE,OAAOuC,EAAE,EAAE,GAAG,CAACC,EAAEC,EAAEkB,CAAC,EAAE4/C,GAAGvjD,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,KAAK,KAAK,EAAE0B,EAAE,KAAK,OAAO,EAAEkC,EAAE,CAACa,EAAEL,EAAEC,IAAI,CAAChH,EAAE,IAAI,CAAC,IAAIiH,EAAE,EAAED,EAAEE,EAAEE,EAAE,KAAK,EAAED,EAAE/N,EAAE8F,GAAGgI,EAAEH,CAAC,EAAEE,CAAC,EAAEG,EAAE,MAAMlI,GAAGgI,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAYZ,EAAE,KAAK,WAAWnB,EAAE,KAAK,QAAQ,EAAEmB,EAAE,KAAK,eAAeD,EAAE,KAAK,QAAQ,EAAMnB,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjC,EAAE,CAAC,KAAK,KAAK,KAAK,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgB4uC,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,sBAAsBA,GAAG,KAAK,qBAAqB,EAAE,0BAA0BA,GAAG,KAAK,yBAAyB,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,eAAepN,GAAG,KAAK,cAAc,EAAE,gBAAgBA,GAAG,KAAK,eAAe,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEijD,GAAG,UAAU,qBAAqBnpD,GAAE,cAAcmpD,EAAE,EAAE,IAAIC,GAAG,cAAcxT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,OAAO,KAAK,MAAM,UAAU,GAAG,CAAC,OAAO,UAAU,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,KAAK,MAAM,UAAU,MAAM,QAAQ,KAAK,IAAI,GAAG,QAAQV,KAAK,KAAK,KAAK,GAAG,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,0DAA0D,KAAK,UAAU,KAAK,IAAI,GAAG,MAAO,OAAM,IAAI,MAAM,wEAAwE,KAAK,UAAU,KAAK,IAAI,GAAG,EAAE,KAAK,QAAQU,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,MAAM,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,OAAO,KAAK,MAAM,WAAW,KAAK,KAAK,CAAC,KAAK,IAAI,GAAG,QAAQiB,EAAE,EAAEA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAE,KAAK,KAAKA,GAAG,IAAI,KAAK,KAAKA,IAAI3B,GAAG,QAAQ2B,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAGA,GAAG3B,EAAE,MAAM,IAAI,MAAM,iBAAiB2B,GAAG,EAAE,GAAG,KAAK,KAAK,SAASwoC,GAAG,KAAK,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,KAAK,MAAM,EAAE,IAAI,EAAE,KAAK,KAAK,IAAIxoC,GAAGjB,EAAEiB,EAAE,EAAExB,EAAE,GAAG,KAAK,MAAM,KAAK,MAAM,KAAK,UAAU,QAAQ,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiBA,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,OAAO,KAAK,KAAK,KAAK,UAAU,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,OAAO,OAAO3C,EAAE,IAAI,CAAC,GAAG,CAAC,KAAKqE,EAAE,SAASC,CAAC,EAAEpL,GAAG,EAAE,KAAK,KAAK,EAAE,EAAEqL,EAAEunC,GAAG,EAAE3nC,CAAC,EAAE,QAAQ,KAAK,KAAK,KAAKI,EAAE,GAAG5B,EAAE,GAAG,IAAIqC,EAAE,GAAG,GAAG,MAAM,EAAE,MAAM,SAASb,EAAEnI,EAAE,EAAEuI,CAAC,EAAE,EAAEU,EAAE,KAAK,MAAMD,EAAE,KAAK,MAAM,KAAK,CAAC,EAAE,KAAKE,EAAE,KAAK,OAAOF,EAAE,KAAK,KAAK,KAAK,CAAC,EAAE,KAAKG,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEjB,EAAE,EAAE,EAAE,KAAK,KAAK,QAAQ,CAAC,IAAI,IAAIgB,EAAE,KAAKxC,EAAE,EAAE,EAAEyC,EAAE,KAAK,CAAC,IAAID,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKzC,EAAE,EAAE,GAAG,OAAO0B,EAAEpE,GAAGoE,EAAEc,CAAC,EAAEb,EAAErE,GAAGqE,EAAEa,CAAC,EAAEF,GAAG,OAAOA,EAAEhF,GAAGgF,EAAEG,CAAC,GAAGF,GAAG,OAAOA,EAAEjF,GAAGiF,EAAEE,CAAC,GAAG2gD,GAAG,EAAE1hD,EAAEC,EAAEY,EAAED,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/B,EAAE,CAAC,KAAK,KAAK,KAAK,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgB4uC,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,CAAC,EAAEp/C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEkjD,GAAG,UAAU,qBAAqBppD,GAAE,cAAcopD,EAAE,EAAE,SAASC,GAAG/jD,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGsC,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,kEAAkEppC,EAAE,gBAAgB,EAAE,GAAG,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,EAAE,SAAS,GAAG,EAAE,GAAG,SAAS,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAIopC,EAAE,6GAA6G,EAAE,GAAGlpC,GAAG,OAAOA,EAAEwsC,GAAG,GAAGxsC,IAAI,gBAAgBA,IAAI,gBAAgB,MAAM,IAAIkpC,EAAE,wBAAwBlpC,kEAAkE,EAAE,IAAIE,EAAE,OAAOF,IAAI,gBAAgBE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG,EAAE,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE1I,GAAGsI,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4jD,GAAG,cAAc1T,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK8rC,GAAG,EAAE9rC,EAAE,WAAWA,EAAE,SAAS,KAAK,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,UAAU,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAAC,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE,CAACA,EAAE,QAAQA,EAAE,OAAO,CAAC,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,+EAA+ExoC,EAAE,QAAQ,eAAe,EAAE,IAAIV,EAAE,EAAE,GAAG,OAAOU,EAAE,QAAQ,IAAI,SAASV,EAAE,CAACU,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,EAAE,EAAE,CAACA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,EAAE,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAIwoC,EAAE,sFAAsFxoC,EAAE,QAAQ,GAAG,eAAe,EAAE,GAAGV,EAAEU,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,SAAS,EAAE,MAAM,IAAIwoC,EAAE,qFAAqFxoC,EAAE,QAAQ,GAAG,eAAe,EAAE,EAAEA,EAAE,QAAQ,EAAE,CAAC,KAAK,QAAQ,CAACV,EAAE,CAAC,CAAC,CAAC,KAAK,UAAU,CAAC,IAAI5a,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,EAAE,OAAO,KAAK,aAAa,iBAAiBU,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEV,EAAEU,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGV,EAAE,KAAKU,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGA,EAAE,GAAGV,EAAE,CAAC,IAAIU,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAEV,EAAEU,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAGV,EAAE,KAAKU,EAAE,IAAI,MAAMA,EAAE,IAAI,EAAE,EAAEA,EAAE,GAAG,KAAK,QAAQ,GAAG,GAAG,KAAK,QAAQ,GAAG,GAAG,EAAE,KAAK,CAACA,EAAE,GAAGV,EAAE,EAAEU,EAAE,EAAE,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAIqmD,GAAGnU,GAAGhvC,CAAC,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEojD,GAAG,UAAU,gBAAgBtpD,GAAE,cAAcspD,EAAE,EAAE,SAASC,GAAGjkD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC6tC,GAAGlrC,CAAC,EAAEqrC,GAAG,CAAC,EAAED,GAAGrrC,CAAC,EAAEF,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGE,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAEqsC,GAAG,GAAG,GAAG,OAAO,EAAE,OAAO1sC,EAAEkgD,GAAGlgD,EAAEK,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEtK,GAAGkK,EAAE,EAAEE,EAAE6B,CAAC,EAAE,EAAElU,GAAGmS,EAAE,EAAEE,EAAE6B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,SAASmmD,GAAGlkD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC6tC,GAAGlrC,CAAC,EAAEqrC,GAAG,CAAC,EAAED,GAAGrrC,CAAC,EAAEF,GAAG,OAAOA,EAAE,CAAC,EAAE,EAAE,CAAC,GAAGE,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAEqsC,GAAG,GAAG,GAAG,OAAO,EAAE,OAAO1sC,EAAEmgD,GAAGngD,EAAEK,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAErK,GAAGiK,EAAE,EAAEE,EAAE6B,CAAC,EAAE,EAAEjU,GAAGkS,EAAE,EAAEE,EAAE6B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIomD,GAAG,cAAc7T,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,GAAG,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAACA,EAAE,QAAQ,UAAU,MAAM,QAAQA,EAAE,QAAQ,GAAGA,EAAE,SAAS,SAAS,GAAG,OAAOA,EAAE,SAAS,IAAI,SAAS,KAAK,SAASA,EAAE,aAAc,OAAM,IAAIwoC,EAAE,qGAAqG,KAAK,UAAUxoC,EAAE,QAAQ,GAAG,EAAE,GAAG6pC,GAAG,KAAK,SAAS,UAAU,EAAE7pC,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAACA,EAAE,OAAO,UAAU,MAAM,QAAQA,EAAE,OAAO,GAAGA,EAAE,QAAQ,SAAS,GAAG,OAAOA,EAAE,QAAQ,IAAI,SAAS,KAAK,QAAQA,EAAE,YAAa,OAAM,IAAIwoC,EAAE,oGAAoG,KAAK,UAAUxoC,EAAE,OAAO,GAAG,EAAE6pC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ6qC,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE8/C,GAAGp/C,EAAE,GAAG,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,MAAM,CAACA,EAAE,GAAGV,EAAEU,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAEU,EAAEgsC,GAAGgD,GAAGhvC,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBgvC,GAAGhvC,CAAC,EAAE,CAAC,KAAK,SAAS,GAAG,CAAC,EAAE,CAAC,KAAK,QAAQ,GAAG,CAAC,EAAE,KAAK,QAAQ,cAAc,EAAE,OAAOrE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIqE,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,OAAO,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEwjD,GAAG,cAAcD,EAAE,CAAC,YAAYvjD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEuiD,GAAG,UAAU,eAAe1pD,GAAE,cAAc0pD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYvjD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEwiD,GAAG,UAAU,mBAAmB3pD,GAAE,cAAc2pD,EAAE,EAAE,IAAIC,GAAG,cAAchU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wHAAwHxoC,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE6pC,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAG,OAAOV,EAAE8/C,GAAG9/C,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAE8/C,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAACp/C,EAAE,GAAGA,EAAE,GAAGV,EAAE,CAAC,EAAE,CAACU,EAAE,GAAGV,EAAE,EAAEU,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAK,KAAK,eAAekD,EAAEV,CAAC,EAAE,KAAK,gBAAgB0vC,GAAGhvC,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE2jD,GAAG,cAAcD,EAAE,CAAC,YAAY1jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE0iD,GAAG,UAAU,eAAe7pD,GAAE,cAAc6pD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY1jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE2iD,GAAG,UAAU,mBAAmB9pD,GAAE,cAAc8pD,EAAE,EAAE,IAAIC,GAAG,cAAcnU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wHAAwHxoC,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,QAAQA,EAAE,OAAO,EAAE6pC,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,aAAa,gBAAgBA,EAAE,GAAGA,EAAE,GAAGP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,GAAGA,EAAE,GAAG,OAAOV,EAAE8/C,GAAG9/C,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,EAAE8/C,GAAG,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE3/C,EAAE2/C,GAAG3/C,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQ,KAAK,QAAQ,EAAE,EAAE,KAAK,aAAa,gBAAgB,CAACO,EAAE,GAAGA,EAAE,GAAGV,EAAE,EAAEG,CAAC,EAAE,CAACO,EAAE,GAAGV,EAAE,EAAEG,EAAEO,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAK,KAAK,eAAekD,EAAEV,CAAC,EAAE,KAAK,gBAAgB0vC,GAAGhvC,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE8jD,GAAG,cAAcD,EAAE,CAAC,YAAY7jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE6jD,GAAGtjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE6iD,GAAG,UAAU,eAAehqD,GAAE,cAAcgqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE6jD,GAAGtjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE8iD,GAAG,UAAU,mBAAmBjqD,GAAE,cAAciqD,EAAE,EAAE,IAAIC,GAAG,cAActU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAAC,MAAM,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,MAAM,IAAImpC,EAAE,CAAC,EAAEwb,GAAG,cAAcD,EAAE,CAAC,YAAYhkD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO1K,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE2uD,GAAG,UAAU,yBAAyBnqD,GAAE,cAAcmqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhkD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO/K,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEivD,GAAG,UAAU,qBAAqBpqD,GAAE,cAAcoqD,EAAE,EAAE,IAAIC,GAAG,cAAczU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,IAAIjmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,aAAa,eAAe,CAACA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,MAAM,IAAImpC,EAAE,CAAC,WAAW,CAAC,IAAIzoC,EAAE,CAAC,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEokD,GAAG,cAAcD,EAAE,CAAC,KAAKnkD,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,aAAa,eAAe1K,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE8uD,GAAG,UAAU,yBAAyBtqD,GAAE,cAAcsqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,KAAKnkD,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,aAAa,eAAe/K,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEovD,GAAG,UAAU,qBAAqBvqD,GAAE,cAAcuqD,EAAE,EAAE,IAAIC,GAAG,cAAc5U,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,KAAK,MAAM,UAAU,EAAE,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,OAAO,KAAK,MAAM,UAAUA,EAAE,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,MAAM,gBAAgB,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,YAAY,CAAC,OAAO,KAAK,MAAM,WAAW,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,CAAC,UAAU,KAAK,MAAM,aAAa,EAAE,OAAO,KAAK,MAAM,UAAU,CAAC,CAAC,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,6BAA6BA,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,OAAO,MAAM,KAAK,MAAM,6BAA6BA,CAAC,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAEH,EAAE,MAAM2B,EAAE42C,GAAGp4C,EAAE,CAAC,EAAE,OAAOH,EAAE,MAAM,IAAI4B,EAAE,CAAC,MAAMD,CAAC,EAAE,OAAO,OAAO,OAAOC,EAAE5B,CAAC,EAAE,IAAIU,EAAEkB,CAAC,CAAC,CAAC,EAAEqjD,GAAG,cAAcD,EAAE,CAAC,YAAYtkD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,gFAAgF,KAAK,UAAUxoC,CAAC,GAAG,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIV,EAAE,CAACU,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,MAAM,QAAQ,KAAK,MAAM,MAAMV,CAAC,EAAE,KAAK,MAAM,MAAM,IAAI,MAAM,MAAMU,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,CAACU,EAAE,EAAE,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,EAAE,KAAK,MAAM,mBAAmBV,CAAC,EAAEG,EAAEO,EAAE,GAAG,MAAM,CAAC,EAAE,GAAGP,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEygD,GAAG,CAACv/C,EAAE,IAAI,CAAC8tC,GAAG,KAAK,MAAM,KAAK9tC,EAAE5B,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEU,EAAE,CAAC,EAAE,GAAG,KAAK,KAAK,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,EAAEukD,GAAG,UAAU,kBAAkBzqD,GAAE,cAAcyqD,EAAE,EAAE,SAASC,GAAGplD,EAAE,CAACuqC,GAAGc,GAAG,yBAAyBrrC,CAAC,CAAC,CAAC,IAAIqlD,GAAG,SAASC,GAAG,cAAcJ,EAAE,CAAC,YAAYtkD,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,UAAU,EAAE,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,MAAM,aAAa,EAAE,EAAE,OAAOV,EAAE,KAAK,aAAau4C,GAAG,CAAC,EAAEv4C,EAAE,YAAYA,EAAE,cAAc,GAAG,IAAIG,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAUO,EAAE,MAAM,aAAa,EAAEP,EAAE,OAAOH,EAAE,KAAK,cAAcu4C,GAAGp4C,CAAC,EAAE,KAAK,aAAa,KAAK,WAAW,KAAK,aAAa,KAAK,KAAK,cAAc,KAAK,YAAY,KAAK,cAAc,KAAK,KAAK,UAAUO,EAAE,YAAY,OAAOykD,GAAGzkD,EAAE,UAAUwkD,GAAG,KAAK,SAAS,EAAExkD,EAAE,QAAQ,MAAM,IAAIyoC,GAAG,iEAAiE,EAAE,KAAK,UAAUzoC,EAAE,MAAM,SAAS,KAAK,gBAAgBA,EAAE,MAAM,gBAAgB,KAAK,YAAYA,EAAE,MAAM,YAAY,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,KAAK,UAAUA,EAAE,MAAM,UAAU,KAAK,aAAa,IAAI,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,cAAc,OAAO,KAAK,aAAa,UAAUA,GAAG,KAAK,eAAe,OAAO,KAAK,cAAc,UAAUA,EAAE,CAAC,YAAY,CAAC,OAAO,KAAK,aAAa,WAAW,EAAE,OAAO,KAAK,cAAc,WAAW,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,EAAE,KAAK,MAAMV,EAAE,CAAC,EAAE,KAAK,aAAa,WAAWU,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,KAAK,cAAc,WAAWA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,mBAAmBU,CAAC,EAAE,MAAM,QAAQV,CAAC,GAAG,MAAM,QAAQA,EAAE,EAAE,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAEA,EAAE,IAAI,EAAEG,EAAEwB,EAAE,OAAO,KAAK,cAAcA,EAAE3B,EAAE,MAAM,CAAC,GAAG,EAAEA,EAAE,GAAG,EAAE,EAAE,KAAK,YAAY,UAAU,EAAE,EAAE,OAAO,IAAI,EAAEG,EAAE,CAAC,CAAC,GAAG,KAAK,WAAW,KAAKA,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,KAAK,WAAW,KAAKA,EAAE,OAAOwB,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE8nC,GAAGtpC,CAAC,CAAC,CAAC,MAAMO,EAAEV,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaG,EAAEH,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI2B,EAAEu/C,GAAGxgD,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAE,GAAGO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,MAAM,QAAQjB,CAAC,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAEA,EAAE,KAAK,GAAG,MAAM,EAAE,SAAS,IAAIP,GAAG,KAAK,OAAO,MAAM,MAAMO,EAAEV,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI,EAAE,EAAE,OAAO,GAAG,EAAE,EAAE,EAAE,MAAM,IAAIqnC,EAAE,+HAA+H,EAAElpC,EAAE,aAAa,EAAE4B,EAAE,KAAK,GAAG,CAAC,EAAE,IAAIY,EAAE,EAAE,IAAI,GAAG,IAAIpd,GAAG,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,aAAa,UAAUod,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,KAAK,cAAc,UAAUA,EAAE,MAAM,EAAE,CAAC,EAAEX,EAAE,KAAK,GAAGW,CAAC,CAAC,CAAC,GAAGrC,GAAG,KAAK,MAAM,IAAIgpC,GAAG,uEAAuE,EAAE,IAAIrnC,EAAEF,EAAE,aAAa/V,GAAG,QAAQ,KAAK+V,EAAE,GAAG,aAAa/V,KAAKiW,EAAE,MAAM,IAAIonC,EAAE,8GAA8G,EAAE,GAAGpnC,EAAE,CAAC,IAAI,EAAE,CAACpB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAE,EAAE,KAAK,UAAU,KAAK,UAAUW,EAAE,IAAIE,EAAE,MAAM,MAAM,EAAE1C,CAAC,EAAE,OAAO,KAAK,UAAU,EAAE0C,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,aAAaG,EAAEwB,EAAE,GAAG,GAAG,KAAKxB,EAAE,KAAK,aAAa,KAAKO,EAAEV,CAAC,EAAE2B,EAAE,KAAK,cAAc,KAAKjB,EAAEV,CAAC,MAAM,CAAC,IAAI8B,EAAE,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE3B,EAAE,KAAK,aAAa,KAAKO,EAAE,OAAO,OAAOV,EAAE,CAAC,aAAa8B,CAAC,CAAC,CAAC,EAAEH,EAAE,KAAK,cAAc,KAAKjB,EAAE,OAAO,OAAOV,EAAE,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4B,EAAE,KAAK,cAAc,MAAM,QAAQzB,CAAC,IAAIyB,EAAEzB,EAAE,MAAM,CAAC,EAAE,OAAOwB,EAAE,MAAM,CAAC,CAAC,GAAGxB,EAAEA,EAAE,GAAGwB,EAAEA,EAAE,IAAI,KAAK,kBAAkBA,EAAElI,GAAGkI,EAAE,CAAC,GAAG,IAAIE,EAAE,OAAO,KAAK,YAAY,SAASA,EAAEqrC,GAAG,CAAC/sC,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAE7U,EAAEmT,EAAEwB,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEjL,EAAE,GAAG5J,EAAEmT,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEjL,EAAEuJ,EAAEwB,CAAC,EAAE,KAAK,WAAW,OAAOE,EAAE,CAAC1B,EAAEwB,CAAC,GAAG,KAAK,YAAY,KAAK,WAAW,KAAKE,EAAE,OAAOD,CAAC,EAAE,CAACC,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,YAAYnB,EAAE,CAAC,KAAK,aAAa,YAAY,EAAE,KAAK,cAAc,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACirC,GAAG,KAAK,aAAa,KAAK,IAAI,CAAC,KAAK,aAAa,MAAMjrC,CAAC,CAAC,CAAC,EAAEirC,GAAG,KAAK,cAAc,KAAK,IAAI,CAAC,KAAK,cAAc,MAAMjrC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,YAAYA,EAAEV,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAEA,EAAE,IAAI,IAAI,EAAE,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,EAAE,CAACA,EAAEA,CAAC,EAAE,EAAEA,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,YAAY,CAAC,IAAI2B,EAAE,KAAK,aAAa,OAAO,IAAIC,GAAG,IAAI,EAAE,OAAO,MAAM,QAAQ,CAAC,EAAE,EAAE,OAAOD,CAAC,EAAE,OAAOA,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,aAAa,iBAAiB,OAAO,KAAK,cAAc,gBAAgB,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,aAAa,oBAAoB,OAAO,KAAK,cAAc,mBAAmB,CAAC,CAAC,6BAA6BjB,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,cAAc,MAAM,KAAK,aAAa,6BAA6BA,CAAC,EAAE,KAAK,eAAe,MAAM,KAAK,cAAc,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,SAAS,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,IAAI,EAAEu4C,GAAGv4C,EAAE,KAAK,EAAE,GAAG,OAAOA,EAAE,MAAMA,EAAE,cAAc,KAAK,MAAM,IAAImpC,GAAG,0FAA0F,EAAE,IAAIhpC,EAAEH,EAAE,OAAOG,EAAE,MAAM,EAAE,IAAIO,EAAEP,CAAC,CAAC,CAAC,EAAEilD,GAAG,UAAU,gBAAgB5qD,GAAE,cAAc4qD,EAAE,EAAE,IAAIC,GAAG,cAAcjV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,OAAOA,EAAE,OAAO,KAAK,OAAO,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,MAAM,OAAO,KAAK,MAAM,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEA,EAAE,QAAQ,YAAYA,EAAE+rC,GAAG/rC,EAAE,SAAS,GAAG1T,EAAE4J,EAAE8J,EAAE,KAAK,KAAK,EAAE,KAAK,MAAM,EAAE,CAAC,CAAC,EAAE2kD,GAAG,UAAU,YAAY7qD,GAAE,cAAc6qD,EAAE,EAAE,GAAG,CAAC,eAAeC,GAAG,cAAcC,EAAE,EAAE9xD,GAAG+xD,GAAG,cAAcpV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,OAAOA,EAAE,OAAO,KAAK,MAAMA,EAAE,KAAK,CAAC,WAAWA,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOtE,EAAE,IAAI,CAAC,IAAI,EAAEgF,EAAE,GAAG,EAAExC,EAAE4B,EAAEc,EAAE,EAAEb,EAAEc,GAAGxC,EAAEH,GAAG4B,EAAEgB,GAAGjB,EAAE,GAAGE,EAAEiC,EAAE,CAAC,EAAEpB,EAAEC,EAAEC,CAAC,EAAEmB,EAAE,CAAC,EAAErD,EAAE,OAAO,GAAG8B,EAAE,GAAG,EAAElG,GAAG,CAACoE,CAAC,CAAC,GAAG,EAAEA,EAAE,QAAQ+D,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAGA,IAAIV,EAAE,KAAKD,CAAC,EAAE,IAAIsD,EAAErK,GAAGgH,EAAE,CAACA,EAAE,OAAO,CAAC,CAAC,EAAEa,EAAEjM,GAAG,EAAEoL,EAAE,OAAO,EAAE,OAAO,EAAES,EAAE+gD,GAAG,EAAEn+C,EAAExC,EAAE,CAACzE,EAAEwB,CAAC,EAAE,SAAS,EAAE,OAAS8qC,GAAFjqC,EAAKktC,GAAGvxC,GAAGqG,CAAC,CAAC,EAAQA,EAAN1C,CAAC,CAAS,CAAC,CAAC,CAAC,OAAOpB,EAAEV,EAAE,EAAEG,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAImE,EAAE2jD,GAAG5kD,EAAE,CAACV,EAAE,CAAC,CAAC,EAAE,OAAOysC,GAAG9qC,EAAExB,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAE,EAAE,MAAMC,EAAED,EAAEA,EAAE,OAAO,GAAGE,EAAEF,EAAEA,EAAE,OAAO,GAAGG,EAAE,EAAEF,IAAI,KAAK,SAASE,EAAE,KAAK,OAAOF,EAAE,KAAK,QAAQ,CAAC,GAAG,IAAI,EAAE,EAAE,OAAOC,IAAI,KAAK,QAAQ,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,IAAI,EAAE,IAAIC,GAAG,GAAG,GAAG,EAAE,KAAK,WAAW,EAAEA,EAAE,EAAE,KAAK,OAAO,KAAK,MAAMF,EAAEC,EAAE1B,CAAC,EAAE,KAAK,OAAOO,EAAE,KAAK,OAAO,KAAK,MAAMP,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,EAAE,EAAEA,EAAE,OAAO,EAAE,OAAOA,EAAEV,GAAG,KAAK,OAAOU,EAAE,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE8kD,GAAG,UAAU,aAAahrD,GAAE,cAAcgrD,EAAE,EAAE,SAASC,GAAG3lD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEuvC,GAAG5vC,CAAC,EAAE,GAAGK,EAAE,QAAQ,UAAUA,EAAEssC,GAAGtsC,EAAE,OAAO,GAAG,IAAI,MAAM,OAAOA,EAAE,IAAI,EAAEA,EAAE,MAAM,GAAGA,EAAE,OAAO,IAAIA,EAAEpO,GAAGoO,EAAE,EAAE,GAAG,IAAI,UAAUA,EAAE,MAAMA,EAAE,MAAM,OAAO,KAAK,IAAIA,EAAEpO,GAAGoO,EAAE,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI+oC,EAAE,4EAA4E,qBAAqB,uCAAuC/oC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,WAAW,QAAQ,EAAE,SAAS,CAAC,EAAE0B,EAAE1B,EAAE2B,EAAE,GAAG,OAAO5B,GAAG,aAAa,IAAI,QAAQ4B,EAAEzR,GAAGwR,EAAE3B,EAAEF,EAAE,CAAC,EAAE8B,EAAEzR,GAAGwR,EAAE,CAAC,EAAE7B,EAAE,CAAC,EAAE,IAAI,QAAQ,OAAO8B,EAAE,GAAG5B,EAAE,OAAOtJ,EAAEkL,EAAE5B,CAAC,EAAE,MAAM,IAAIgpC,EAAE,uDAAuD,CAAC,CAAC,IAAIwc,GAAG,cAActV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAUA,EAAE,UAAUA,EAAE,WAAW,KAAK,WAAWA,EAAE,WAAW,KAAK,WAAW,UAAU,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,UAAU,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,EAAEivC,GAAGjvC,CAAC,EAAEA,GAAG,KAAK,CAAC,KAAK,SAAS,EAAE,KAAK,aAAa,UAAUA,EAAEA,EAAE,OAAO,KAAK,GAAGA,EAAE,KAAK,KAAK,SAAS,EAAEA,IAAIA,EAAEA,EAAE,OAAO,GAAG,KAAK,UAAUA,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAEA,EAAE,QAAQ,UAAUA,EAAE+rC,GAAG/rC,EAAE,OAAO,GAAG,IAAI,EAAE,GAAG,OAAOV,EAAE,cAAc,YAAY,CAAC,GAAG,KAAK,aAAa,QAAQ,MAAM,IAAIkpC,EAAE;AAAA,sCACl9jMlpC,EAAE,cAAc,EAAE,EAAE0vC,GAAG1vC,EAAE,YAAY,CAAC,CAAC,IAAIG,EAAExK,GAAG+K,CAAC,EAAEiB,EAAEvL,GAAGsK,CAAC,EAAEkB,EAAEvO,GAAG,KAAK,UAAU8M,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE0B,EAAEvO,GAAGqO,EAAE,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE,GAAG,EAAEC,GAAGC,GAAG,MAAM,IAAIqnC,EAAE,uEAAuE,KAAK,WAAW,EAAE,OAAOuc,GAAG/kD,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEglD,GAAG,UAAU,mBAAmBlrD,GAAE,cAAckrD,EAAE,EAAE,IAAIC,GAAG,CAAC,WAAW,SAAS,EAAEC,GAAG,IAAI,IAAID,EAAE,EAAEE,GAAG,cAAczV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,OAAOA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAMA,EAAE,cAAc,GAAGklD,GAAG,IAAIllD,EAAE,aAAa,EAAE,KAAK,cAAcA,EAAE,kBAAmB,OAAM,IAAIwoC,EAAE,oCAAoCxoC,EAAE,kCAAkC,OAAO,KAAK,cAAc,WAAW,KAAK,kBAAkB,QAAQA,EAAE,iBAAiB,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,GAAG,MAAM,CAAC,KAAK,OAAO,KAAK,MAAMV,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,cAAc,KAAK,cAAc,kBAAkB,KAAK,iBAAiB,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAE,CAAC,KAAK,OAAO,KAAK,KAAK,EAAE,GAAG,KAAK,gBAAgB,WAAW,OAAO/J,GAAG,eAAeiN,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,GAAG,KAAK,gBAAgB,UAAU,OAAOjN,GAAG,sBAAsBiN,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,MAAM,IAAI,MAAM,oBAAoB,KAAK,0BAA0B,CAAC,GAAGklD,EAAE,iBAAiB,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAG,UAAU,WAAWrrD,GAAE,cAAcqrD,EAAE,EAAE,SAAS/P,GAAGh2C,EAAE,CAAC,OAAO,IAAI0wC,GAAG1wC,CAAC,CAAC,CAAC,SAASm1C,GAAGn1C,EAAE,CAAC,OAAO,IAAI4/C,GAAG5/C,CAAC,CAAC,CAAC,SAASg3C,GAAGh3C,EAAE,CAAC,OAAO,IAAIy/C,GAAGz/C,CAAC,CAAC,CAAC,SAASk2C,GAAGl2C,EAAE,CAAC,OAAO,IAAI0/C,GAAG1/C,CAAC,CAAC,CAAC,SAAS+2C,GAAG/2C,EAAE,CAAC,OAAO,IAAI2/C,GAAG3/C,CAAC,CAAC,CAAC,SAASy3C,GAAGz3C,EAAE,CAAC,OAAO,IAAI8/C,GAAG9/C,CAAC,CAAC,CAAC,SAAS43C,GAAG53C,EAAE,CAAC,OAAO,IAAI6/C,GAAG7/C,CAAC,CAAC,CAAC,SAASu0C,GAAGv0C,EAAE,CAAC,OAAO,IAAI+gD,GAAG/gD,CAAC,CAAC,CAAC,SAASw0C,GAAGx0C,EAAE,CAAC,OAAO,IAAIygD,GAAGzgD,CAAC,CAAC,CAAC,SAASy0C,GAAGz0C,EAAE,CAAC,OAAO,IAAI2gD,GAAG3gD,CAAC,CAAC,CAAC,SAAS00C,GAAG10C,EAAE,CAAC,OAAO,IAAI0gD,GAAG1gD,CAAC,CAAC,CAAC,SAAS20C,GAAG30C,EAAE,CAAC,OAAO,IAAI4gD,GAAG5gD,CAAC,CAAC,CAAC,SAASs3C,GAAGt3C,EAAE,CAAC,OAAO,IAAI8gD,GAAG9gD,CAAC,CAAC,CAAC,SAAS80C,GAAG90C,EAAE,CAAC,OAAO,IAAIghD,GAAGhhD,CAAC,CAAC,CAAC,SAAS83C,GAAG93C,EAAE,CAAC,OAAO,IAAIihD,GAAGjhD,CAAC,CAAC,CAAC,SAASg1C,GAAGh1C,EAAE,CAAC,OAAO,IAAImhD,GAAGnhD,CAAC,CAAC,CAAC,SAASqzC,GAAGrzC,EAAE,CAAC,OAAO,IAAIsiD,GAAGtiD,CAAC,CAAC,CAAC,SAAS+0C,GAAG/0C,EAAE,CAAC,OAAO,IAAIoiD,GAAGpiD,CAAC,CAAC,CAAC,SAASk1C,GAAGl1C,EAAE,CAAC,OAAO,IAAIkiD,GAAGliD,CAAC,CAAC,CAAC,SAAS03C,GAAG13C,EAAE,CAAC,OAAO,IAAImiD,GAAGniD,CAAC,CAAC,CAAC,SAASq1C,GAAGr1C,EAAE,CAAC,OAAO,IAAIqiD,GAAGriD,CAAC,CAAC,CAAC,SAASi3C,GAAGj3C,EAAE,CAAC,OAAO,IAAIuiD,GAAGviD,CAAC,CAAC,CAAC,SAASm3C,GAAGn3C,EAAE,CAAC,OAAO,IAAIwiD,GAAGxiD,CAAC,CAAC,CAAC,SAAS82C,GAAG92C,EAAE,CAAC,OAAO,IAAIyiD,GAAGziD,CAAC,CAAC,CAAC,SAASo1C,GAAGp1C,EAAE,CAAC,OAAO,IAAI2iD,GAAG3iD,CAAC,CAAC,CAAC,SAASszC,GAAGtzC,EAAE,CAAC,OAAO,IAAI6iD,GAAG7iD,CAAC,CAAC,CAAC,SAASwzC,GAAGxzC,EAAE,CAAC,OAAO,IAAI+iD,GAAG/iD,CAAC,CAAC,CAAC,SAASs0C,GAAGt0C,EAAE,CAAC,OAAO,IAAIkjD,GAAGljD,CAAC,CAAC,CAAC,SAAS22C,GAAG32C,EAAE,CAAC,OAAO,IAAIgjD,GAAGhjD,CAAC,CAAC,CAAC,SAAS42C,GAAG52C,EAAE,CAAC,OAAO,IAAIijD,GAAGjjD,CAAC,CAAC,CAAC,SAAS62C,GAAG72C,EAAE,CAAC,OAAO,IAAI8iD,GAAG9iD,CAAC,CAAC,CAAC,SAASi1C,GAAGj1C,EAAE,CAAC,OAAO,IAAIqjD,GAAGrjD,CAAC,CAAC,CAAC,SAASk0C,GAAGl0C,EAAE,CAAC,OAAO,IAAI6jD,GAAG7jD,CAAC,CAAC,CAAC,SAASi2C,GAAGj2C,EAAE,CAAC,OAAO,IAAI8jD,GAAG9jD,CAAC,CAAC,CAAC,SAAS+3C,GAAG/3C,EAAE,CAAC,OAAO,IAAIgkD,GAAGhkD,CAAC,CAAC,CAAC,SAASyzC,GAAGzzC,EAAE,CAAC,OAAO,IAAIqkD,GAAGrkD,CAAC,CAAC,CAAC,SAAS4zC,GAAG5zC,EAAE,CAAC,OAAOyzC,GAAGzzC,CAAC,CAAC,CAAC,SAAS+zC,GAAG/zC,EAAE,CAAC,OAAOyzC,GAAGzzC,CAAC,CAAC,CAAC,SAAS0zC,GAAG1zC,EAAE,CAAC,OAAO,IAAIwkD,GAAGxkD,CAAC,CAAC,CAAC,SAAS6zC,GAAG7zC,EAAE,CAAC,OAAO0zC,GAAG1zC,CAAC,CAAC,CAAC,SAASg0C,GAAGh0C,EAAE,CAAC,OAAO0zC,GAAG1zC,CAAC,CAAC,CAAC,SAAS2zC,GAAG3zC,EAAE,CAAC,OAAO,IAAI2kD,GAAG3kD,CAAC,CAAC,CAAC,SAAS8zC,GAAG9zC,EAAE,CAAC,OAAO2zC,GAAG3zC,CAAC,CAAC,CAAC,SAASi0C,GAAGj0C,EAAE,CAAC,OAAO2zC,GAAG3zC,CAAC,CAAC,CAAC,SAASw1C,GAAGx1C,EAAE,CAAC,OAAO,IAAI6kD,GAAG7kD,CAAC,CAAC,CAAC,SAASy1C,GAAGz1C,EAAE,CAAC,OAAO,IAAIglD,GAAGhlD,CAAC,CAAC,CAAC,SAAS41C,GAAG51C,EAAE,CAAC,OAAO,IAAI8kD,GAAG9kD,CAAC,CAAC,CAAC,SAAS61C,GAAG71C,EAAE,CAAC,OAAO,IAAIilD,GAAGjlD,CAAC,CAAC,CAAC,SAASw2C,GAAGx2C,EAAE,CAAC,OAAO,IAAIokD,GAAGpkD,CAAC,CAAC,CAAC,SAASy2C,GAAGz2C,EAAE,CAAC,OAAO,IAAIukD,GAAGvkD,CAAC,CAAC,CAAC,SAAS02C,GAAG12C,EAAE,CAAC,OAAO,IAAI0kD,GAAG1kD,CAAC,CAAC,CAAC,SAAS81C,GAAG91C,EAAE,CAAC,OAAO,IAAI2hD,GAAG3hD,CAAC,CAAC,CAAC,SAAS+1C,GAAG/1C,EAAE,CAAC,OAAO,IAAI0hD,GAAG1hD,CAAC,CAAC,CAAC,SAASm2C,GAAGn2C,EAAE,CAAC,OAAO,IAAI6hD,GAAG7hD,CAAC,CAAC,CAAC,SAASo2C,GAAGp2C,EAAE,CAAC,OAAO,IAAI4hD,GAAG5hD,CAAC,CAAC,CAAC,SAASu3C,GAAGv3C,EAAE,CAAC,OAAO,IAAIyhD,GAAGzhD,CAAC,CAAC,CAAC,SAASw3C,GAAGx3C,EAAE,CAAC,OAAO,IAAIuhD,GAAGvhD,CAAC,CAAC,CAAC,SAAS40C,GAAG50C,EAAE,CAAC,OAAO,IAAIiiD,GAAGjiD,CAAC,CAAC,CAAC,SAAS60C,GAAG70C,EAAE,CAAC,OAAO,IAAIgiD,GAAGhiD,CAAC,CAAC,CAAC,SAASq3C,GAAGr3C,EAAE,CAAC,OAAO,IAAIpX,GAAGoX,CAAC,CAAC,CAAC,SAAS23C,GAAG33C,EAAE,CAAC,OAAO,IAAIshD,GAAGthD,CAAC,CAAC,CAAC,SAASm0C,GAAGn0C,EAAE,CAAC,OAAO,IAAIslD,GAAGtlD,CAAC,CAAC,CAAC,SAAS63C,GAAG73C,EAAE,CAAC,OAAO,IAAImlD,GAAGnlD,CAAC,CAAC,CAAC,IAAI01C,GAAGE,GAAGD,GAAGE,GAAGS,GAAGE,GAAGD,GAAGE,GAAG,SAASlB,GAAGv1C,EAAE,CAAC,OAAO,IAAIsjD,GAAGtjD,CAAC,CAAC,CAAC,SAASs1C,GAAGt1C,EAAE,CAAC,OAAO,IAAIujD,GAAGvjD,CAAC,CAAC,CAAC,SAASuzC,GAAGvzC,EAAE,CAAC,OAAO,IAAIwjD,GAAGxjD,CAAC,CAAC,CAAC,SAASq2C,GAAGr2C,EAAE,CAAC,OAAO,IAAI0iD,GAAG1iD,CAAC,CAAC,CAAC,SAASk3C,GAAGl3C,EAAE,CAAC,OAAO,IAAIulD,GAAGvlD,CAAC,CAAC,CAAC,SAASq0C,GAAGr0C,EAAE,CAAC,OAAO,IAAI0lD,GAAG1lD,CAAC,CAAC,CAAC,SAASo3C,GAAGp3C,EAAE,CAAC,OAAO,IAAI+lD,GAAG/lD,CAAC,CAAC,CAAC,SAASo0C,GAAGp0C,EAAE,CAAC,OAAO,IAAI4lD,GAAG5lD,CAAC,CAAC,CAAC,IAAI3J,GAAG,CAAC,EAAE4J,GAAG5J,GAAG,CAAC,KAAK,IAAI2vD,GAAG,IAAI,IAAIC,GAAG,eAAe,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,4BAA4B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,0BAA0B,IAAIC,EAAE,CAAC,EAAE,SAASZ,GAAGlmD,EAAE,EAAE,CAAC,OAAO45C,GAAG55C,EAAE,CAAC,CAAC,CAAC,SAASmmD,GAAGnmD,EAAE,EAAE,CAAC,OAAOm6C,GAAGn6C,EAAE,CAAC,CAAC,CAAC,SAAS8mD,GAAG9mD,EAAE,EAAE,CAAC,OAAOo6C,GAAGp6C,EAAE,CAAC,CAAC,CAAC,SAASomD,GAAGpmD,EAAE,EAAE,CAAC,OAAO65C,GAAG75C,EAAE,CAAC,CAAC,CAAC,SAASqmD,GAAGrmD,EAAE,EAAE,CAAC,OAAO26C,GAAG36C,EAAE,CAAC,CAAC,CAAC,SAAS4mD,GAAG5mD,EAAE,EAAE,CAAC,OAAOi6C,GAAGj6C,EAAE,CAAC,CAAC,CAAC,SAAS6mD,GAAG7mD,EAAE,EAAE,CAAC,OAAOk6C,GAAGl6C,EAAE,CAAC,CAAC,CAAC,SAASsmD,GAAGtmD,EAAE,EAAE,CAAC,OAAOy5C,GAAGz5C,EAAE,CAAC,CAAC,CAAC,SAASwmD,GAAGxmD,EAAE,EAAE,CAAC,OAAO44C,GAAG54C,EAAE,CAAC,CAAC,CAAC,SAASymD,GAAGzmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAASgmD,GAAGhmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAASumD,GAAGvmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAAS0mD,GAAG1mD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,SAASimD,GAAGjmD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,SAAS2mD,GAAG3mD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,IAAIrJ,GAAG,CAAC,EAAEsJ,GAAGtJ,GAAG,CAAC,cAAc,IAAIgnD,EAAE,CAAC,EAAE,IAAIrkD,GAAG,CAAC,EAAE2G,GAAG3G,GAAG,CAAC,GAAG,IAAIytD,GAAG,KAAK,IAAIC,GAAG,GAAG,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAGhnD,EAAE,CAAC,OAAO,IAAIk/C,GAAGl/C,CAAC,CAAC,CAAC,SAAS+mD,GAAG/mD,EAAE,CAAC,OAAOm/C,GAAGn/C,CAAC,CAAC,CAAC,SAASinD,GAAGjnD,EAAE,CAAC,OAAOo/C,GAAGp/C,CAAC,CAAC,CAAC,IAAIte,GAAG,cAAc02D,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,MAAM,IAAI,CAAC,SAASx3C,EAAE,CAAC,GAAG,EAAEA,aAAa9a,IAAI,MAAM,IAAI,MAAM,uDAAuD,EAAE,KAAK,MAAM8a,CAAC,CAAC,EAAE,SAASsmD,GAAGlnD,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAASmnD,GAAGnnD,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,IAAIvc,GAAG,cAAc/B,EAAE,CAAC,YAAYkf,EAAE,CAAC,GAAG,MAAM,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,mBAAmB,MAAM,IAAIyoC,GAAG,oEAAoE,EAAE,KAAK,QAAQzoC,EAAE,SAAS,WAAW,KAAK,SAAS,KAAK,IAAIA,EAAE,UAAU,CAAC,EAAE,KAAK,SAASA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,EAAE,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,OAAO,MAAM,KAAK,EAAE,QAAQ,KAAK,IAAI,IAAI,KAAK,QAAQ,KAAK,uBAAuB,KAAK,gDAAgD,EAAE,KAAK,KAAK,QAAQ,KAAK,OAAO,MAAM,KAAK,YAAYsmD,GAAG,KAAK,OAAO,MAAM,KAAK,YAAYC,GAAG,KAAK,QAAQ,QAAQ,KAAK,IAAI,GAAG,KAAK,YAAYA,GAAG,KAAK,YAAYD,GAAG,KAAK,cAAcA,KAAK,KAAK,UAAU,GAAG,CAAC,MAAM,aAAatmD,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,aAAa,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,KAAK,SAAS,KAAK,KAAK,KAAK,cAAcsmD,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,MAAM,WAAWtmD,EAAEV,EAAE,CAAC,MAAM83C,GAAG93C,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,SAAS,KAAK,IAAI,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,IAAI,KAAK,OAAO,KAAK,MAAM,KAAK,WAAW,KAAK,aAAaU,EAAE,KAAK,MAAM,aAAa,KAAK,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,SAAS,QAAQ,IAAI,SAAS,KAAK,+BAA+B,CAAC,CAAC,gBAAgBA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAIV,EAAEU,EAAE,KAAK,SAAS,OAAOV,GAAG,MAAM,QAAQ,KAAK,4BAA4B,KAAK,oDAAoD,OAAO,KAAKU,CAAC,GAAG,EAAEV,CAAC,CAAC,EAAE,SAASknD,GAAGpnD,EAAE,CAAC,OAAO,IAAIvc,GAAGuc,CAAC,CAAC,CAAC,IAAIlR,GAAG,CAAC,cAAcs4D,EAAE,EAAMC,GAAGz1D,EAAE,EAAEy1D,GAAG,aAAa,4BAA4B,IAAI,GAAGrnD,GAAG,CAACA,GAAG,QAAQ,KAAK,+OAA+O,CAAC,CAAC,EAAE,IAAIsnD,IAAI,SAAStnD,EAAE,CAACA,EAAEA,EAAE,WAAW,GAAG,aAAaA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,aAAa,GAAG,eAAeA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,SAAS,IAAI,WAAWA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,cAAc,IAAI,gBAAgBA,EAAEA,EAAE,QAAQ,IAAI,UAAUA,EAAEA,EAAE,YAAY,IAAI,cAAcA,EAAEA,EAAE,WAAW,IAAI,aAAaA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,UAAU,IAAI,YAAYA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,iBAAiB,KAAK,mBAAmBA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,aAAa,KAAK,eAAeA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,kBAAkB,KAAK,oBAAoBA,EAAEA,EAAE,YAAY,KAAK,cAAcA,EAAEA,EAAE,gBAAgB,KAAK,kBAAkBA,EAAEA,EAAE,eAAe,KAAK,iBAAiBA,EAAEA,EAAE,cAAc,KAAK,gBAAgBA,EAAEA,EAAE,cAAc,KAAK,eAAe,GAAGsnD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvnD,EAAE,CAAC,IAAI,GAAG,SAASE,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,GAAG,GAAG,KAAKA,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,EAAEF,EAAE,0BAA0BA,EAAE,wBAAwB,CAAC,EAAE,CAAC,GAAGunD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAE,SAASnuD,GAAG2G,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,SAASF,EAAE,SAAS,SAAS,OAAO,CAAC,EAAE,MAAM,CAAC,EAAE,eAAe,CAAC,EAAEwnD,GAAGxnD,GAAGE,CAAC,CAAC,SAASunD,GAAGznD,EAAE,CAAC,OAAOwnD,GAAGxnD,EAAE,CAAC,SAASrP,GAAGqP,EAAE,CAAC,OAAOwnD,GAAGxnD,EAAE,CAAC,SAAS0nD,EAAE1nD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,YAAYL,GAAG,GAAG,GAAG,EAAE,kBAAkB,OAAO,CAAC,IAAI+B,EAAE,EAAE,gBAAgBC,EAAE,EAAE,gBAAgB,EAAE,OAAO,EAAE,gBAAgB,OAAOD,EAAE,EAAE,EAAE,cAAc,GAAG,EAAE,OAAO,SAAS,OAAO4lD,GAAG,EAAE,WAAW,EAAE,iBAAiBznD,EAAEE,EAAEC,CAAC,EAAE,GAAG,EAAE,OAAO,UAAU,OAAO,EAAE,WAAW,MAAM0B,EAAEC,CAAC,EAAE,IAAIY,GAAG+kD,GAAG/kD,EAAE1C,EAAEE,EAAEC,CAAC,CAAC,EAAE,IAAI4B,EAAE0lD,GAAG,EAAE,WAAW,MAAM5lD,CAAC,EAAE,GAAG7B,EAAEE,EAAEC,CAAC,EAAEqC,EAAET,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,SAASS,EAAE,GAAGlE,EAAE,cAAcyD,EAAE,MAAMS,CAAC,CAAC,CAAC,IAAI,EAAE,EAAE,WAAW1C,GAAG,OAAO,GAAG,EAAE,KAAK,CAAC,SAAS2nD,GAAG3nD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEunD,GAAG5nD,CAAC,EAAE,GAAGI,GAAG,KAAK,CAAC,IAAI2B,EAAE3B,EAAE,yBAAyBC,CAAC,EAAE,GAAG0B,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,KAAK6B,GAAG,CAAC,CAAC,EAAE8lD,GAAGxnD,EAAE0B,CAAC,EAAE,EAAE,OAAO,IAAI,OAAO,EAAE8lD,GAAGxnD,EAAE,CAAC,GAAG,GAAG,MAAM,CAAC,SAASynD,GAAG9nD,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE2nD,GAAG7nD,EAAEE,EAAE,gBAAgB,EAAE,CAAC,SAAS6nD,GAAG/nD,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEE,EAAEC,CAAC,EAAEunD,GAAG5nD,CAAC,EAAE,MAAM,CAAC6nD,GAAG3nD,EAAE,GAAG,EAAE,gBAAgB,EAAEE,EAAEC,CAAC,CAAC,CAAC,SAASwnD,GAAG7nD,EAAE,EAAE,CAAC,OAAO,EAAE,GAAGA,KAAK,IAAIA,CAAC,CAAC,SAAS4nD,GAAG5nD,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,CAACA,EAAE,EAAE,MAAM,EAAE,IAAIE,EAAE,EAAE,GAAGE,EAAE,EAAE,SAAS,EAAE,EAAE,GAAG,OAAOC,EAAE,OAAO,EAAE,EAAE,OAAO,EAAE,EAAE,MAAM,CAACH,EAAEG,EAAED,CAAC,CAAC,CAAC,SAAS4nD,GAAGhoD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEsnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,GAAGE,IAAI,WAAW,CAACA,EAAEsnD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIA,EAAE,GAAG,GAAGD,EAAE,EAAE,GAAGC,EAAE,GAAG,GAAGD,EAAE,EAAE,EAAE,GAAG,OAAOC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS6nD,GAAGjoD,EAAE,CAAC,OAAOA,EAAE,KAAKA,EAAE9Q,GAAG8Q,CAAC,CAAC,CAAC,IAAIkoD,GAAG,CAAC,EAAEjoD,GAAGioD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnoD,GAAGmoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEroD,GAAGqoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,MAAM,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,MAAM,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,wBAAwB,KAAK,sBAAsB,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvoD,GAAGuoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,yBAAyB,KAAK,sBAAsB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,KAAK,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,gBAAgB,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,QAAQ,KAAK,YAAY,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEzoD,GAAGyoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3oD,GAAG2oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,YAAY,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,yBAAyB,KAAK,qBAAqB,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7oD,GAAG6oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/oD,GAAG+oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,yBAAyB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,QAAQ,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,OAAO,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,SAAS,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,0BAA0B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjpD,GAAGipD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnpD,GAAGmpD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,iBAAiB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,sBAAsB,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErpD,GAAGqpD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvpD,GAAGupD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEzpD,GAAGypD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,eAAe,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3pD,GAAG2pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7pD,GAAG6pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,GAAG,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,GAAG,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,cAAc,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,kBAAkB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,kBAAkB,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/pD,GAAG+pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjqD,GAAGiqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnqD,GAAGmqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,SAAS,eAAe,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,UAAU,SAAS,OAAO,CAAC,EAAE,CAAC,SAAS,yBAAyB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErqD,GAAGqqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,SAAS,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,iBAAiB,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,iBAAiB,eAAe,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,IAAI5pD,EAAE,CAACsnD,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,EAAE,EAAEpqD,EAAE,CAAC,EAAE,OAAO,GAAGU,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAE,KAAK,UAAUV,EAAE,OAAO,CAAC,EAAEG,KAAK,EAAEA,EAAE,UAAUA,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,UAAU,CAAC,OAAO,KAAK,YAAY,KAAK,UAAU,IAAI,KAAK,CAAC,eAAeO,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEU,EAAE,KAAKP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAO,CAACiC,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,GAAG,WAAW,aAAa,EAAE5D,EAAE,KAAK2D,EAAEC,EAAE,KAAK,EAAEA,EAAE,KAAK,QAAQpC,EAAE,KAAKmC,EAAEC,EAAE,KAAK,GAAGA,EAAE,OAAO,MAAMA,EAAE,MAAM,SAAS,IAAInC,EAAE,KAAKkC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,EAAEhC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAExC,GAAG,OAAOwC,EAAE,KAAK,oBAAoBxC,EAAE,MAAM,EAAE,EAAE,KAAK,oBAAoBA,EAAE,OAAO,GAAG,IAAI0C,EAAE,OAAO,KAAKb,CAAC,EAAEa,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,WAAW,QAAQ,CAACqD,EAAExC,IAAI,CAAC,GAAG,CAACL,EAAE,CAACC,CAAC,EAAEqjD,GAAGzgD,CAAC,EAAE3C,EAAE5C,EAAE0C,GAAG,GAAGE,EAAE,SAAS,KAAK,CAAC,IAAIC,EAAED,EAAE,QAAQ,QAAQD,CAAC,EAAE,GAAGE,IAAI,GAAG,CAAC,IAAIC,EAAE,GAAGJ,KAAKG,IAAIX,EAAE,WAAWa,GAAGD,CAAC,CAAC,CAACZ,EAAE,OAAO,KAAKU,CAAC,EAAEA,EAAE,SAAS,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,SAAS,EAAErB,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,GAAGC,EAAE,SAAS,SAAS,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,QAAQD,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE8jD,GAAG/jD,CAAC,EAAEsD,EAAEvF,EAAEkC,GAAGqD,GAAG,OAAOA,EAAE,aAAa,EAAEtD,GAAG,EAAE,KAAKsD,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK5E,CAAC,EAAE,OAAO,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQsB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE8jD,GAAG/jD,CAAC,EAAEsD,EAAEvF,EAAEkC,GAAGqD,IAAIA,EAAE,aAAa5E,EAAEsB,GAAGhC,EAAE,KAAKsF,CAAC,EAAE,CAAC,EAAEtF,EAAE3B,EAAE,IAAIwC,EAAE,CAAC,EAAEjC,EAAE,SAAS,MAAMA,EAAE,QAAQ,UAAU,OAAOiC,EAAEjC,EAAE,QAAQ,SAAS,OAAO,CAACoD,EAAEC,KAAKD,EAAEC,EAAE,UAAU,MAAM,KAAK,YAAYA,CAAC,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIlB,EAAE,CAAC,MAAMf,EAAE,OAAOC,EAAE,QAAQ,EAAE,QAAQH,EAAE,aAAaxB,EAAE,UAAUH,EAAE,UAAU2C,CAAC,EAAE,OAAOf,EAAE,OAAO,IAAIgB,EAAE,UAAUhB,GAAGgB,CAAC,CAAC,oBAAoBlC,EAAE,CAAC,OAAO,OAAO,KAAKA,GAAG,CAAC,CAAC,EAAE,OAAO,CAACV,EAAE,KAAKA,EAAEU,EAAE,GAAG,MAAM,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,QAAQU,EAAE,CAAC,IAAIV,EAAEunD,GAAG7mD,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,CAAC,KAAKA,EAAE,KAAK,GAAGA,EAAE,GAAG,SAASV,EAAE,SAAS,YAAYU,EAAE,OAAO,CAAC,GAAG,IAAIP,GAAGA,EAAE,WAAW,GAAG,EAAEA,EAAE,MAAM,CAAC,EAAEA,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAAC,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,EAAE,SAASO,EAAE,KAAK,QAAQV,EAAE,OAAO,EAAE,OAAOA,EAAE,QAAQ,OAAO,EAAE,YAAYA,EAAE,OAAO,OAAO,CAACG,EAAEwB,KAAKxB,EAAEwB,EAAE,MAAM,CAAC,KAAKA,EAAE,KAAK,gBAAgBA,EAAE,MAAM,cAAcA,EAAE,GAAG,EAAExB,GAAG,CAAC,CAAC,GAAGH,EAAE,OAAO,OAAO,EAAE,WAAWA,EAAE,MAAM,OAAO,CAACG,EAAEwB,IAAI,CAAC,IAAIC,EAAED,EAAE,KAAKE,EAAE,OAAOF,EAAE,KAAK,CAAC,IAAI,SAASE,EAAE0oD,GAAG7pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE0oD,GAAG7pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE2oD,GAAG9pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE2oD,GAAG9pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAE4oD,GAAG/pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,cAAc,CAAC,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE4oD,GAAG/pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE6oD,GAAGhqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE6oD,GAAGhqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAE8oD,GAAGjqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE8oD,GAAGjqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAE+oD,GAAGlqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAE+oD,GAAGlqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEgpD,GAAGnqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEgpD,GAAGnqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEipD,GAAGpqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEipD,GAAGpqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEkpD,GAAGrqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEkpD,GAAGrqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEmpD,GAAGtqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEmpD,GAAGtqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAEopD,GAAGvqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQ,CAAC,CAACF,EAAE,mBAAmBE,EAAEopD,GAAGvqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAAS,IAAI,UAAU,MAAM,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,EAAE,gBAAgBjB,EAAE,IAAI,CAAC,CAAC,OAAOP,EAAEwB,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKD,CAAC,EAAEzB,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAEU,EAAE,QAAQ,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE3B,GAAG,OAAO2B,EAAE3B,EAAE,OAAO,CAACyC,EAAEC,KAAKD,EAAEC,EAAE,MAAM,KAAK,QAAQA,CAAC,EAAEA,EAAE,KAAK,SAASvC,EAAE,KAAKsC,EAAEC,EAAE,KAAK,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIb,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEnB,EAAE,UAAU,SAAS,QAAQ+B,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEmlD,GAAGplD,EAAE,IAAI,EAAEE,EAAE,CAAC,KAAKD,EAAE,GAAG,cAAc,OAAO,CAAC,EAAE,WAAW,CAAC,EAAE,SAAS,QAAQ,YAAY,CAAC,EAAE,WAAW,CAAC,MAAM,CAAC,MAAMwoD,GAAGzoD,EAAE,IAAI,EAAE,KAAK,OAAO,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEE,EAAE,aAAaF,EAAE,KAAKb,EAAE,KAAKe,CAAC,EAAEhB,EAAEe,GAAGC,CAAC,CAAC,EAAE,OAAO,KAAKhB,CAAC,EAAE,QAAQc,GAAG,CAAC,IAAIC,EAAEf,EAAEc,GAAGC,EAAE,WAAW,QAAQ,CAACC,EAAEC,IAAI,CAAC,GAAG,CAAC,EAAE,CAACmB,CAAC,EAAE8jD,GAAGllD,CAAC,EAAEyE,EAAEzF,EAAE,GAAG,GAAGyF,EAAE,SAAS,KAAK,CAAC,IAAIxC,EAAEwC,EAAE,QAAQ,QAAQrD,CAAC,EAAE,GAAGa,IAAI,GAAG,CAAC,IAAIL,EAAE,GAAG,KAAKK,IAAIlC,EAAE,WAAWE,GAAG2B,CAAC,CAAC,CAAC7B,EAAE,OAAO,KAAK0E,CAAC,EAAEA,EAAE,SAAS,KAAK1E,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAErB,EAAE,IAAIA,EAAE,UAAU,UAAU,QAAQ+B,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEklD,GAAG9lD,EAAEU,EAAE,KAAK,EAAEG,EAAEjB,EAAEe,GAAGE,GAAG,OAAOA,EAAE,cAAcD,EAAEd,EAAE,KAAKe,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE,KAAK,mBAAmB9B,CAAC,EAAE,MAAM,CAAC,MAAMiB,EAAE,OAAOC,EAAE,QAAQC,EAAE,QAAQ1B,EAAE,aAAa,EAAE,UAAUqC,CAAC,CAAC,CAAC,mBAAmB9B,EAAE,CAAC,MAAM,CAAC,WAAWA,EAAE,UAAU,KAAK,OAAOA,EAAE,UAAU,SAAS,OAAO,CAACV,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,CAAC,EAAEA,GAAG,CAAC,CAAC,EAAE,QAAQU,EAAE,UAAU,UAAU,OAAO,CAACV,EAAE,KAAKA,EAAE,EAAE,MAAM,KAAK,mBAAmB,EAAEU,EAAE,GAAG,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBU,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,KAAK,OAAOV,GAAG,OAAO,EAAEA,EAAE,IAAI,CAAC,KAAK,EAAE,MAAMU,EAAE,IAAI,CAAC,CAAC,EAAE,SAASyqD,GAAGrrD,EAAE,CAAC,IAAI,EAAEpO,EAAE,EAAE,OAAO,GAAG,OAAO,EAAE,MAAM,YAAY,OAAO,EAAE,KAAKoO,CAAC,EAAE,GAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAOA,EAAE,QAAQ,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,SAASsrD,GAAGtrD,EAAE,EAAE,CAAC,IAAIE,EAAE,MAAM,QAAQF,CAAC,EAAE,OAAO,aAAa,MAAM,KAAKA,CAAC,EAAEqrD,GAAGrrD,CAAC,EAAE,OAAO,EAAEE,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASuqD,GAAGzqD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,GAAG,OAAOK,GAAG,KAAKirD,GAAGjrD,EAAE,EAAED,CAAC,EAAEF,CAAC,CAAC,SAAS2qD,GAAG7qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,EAAEA,EAAE,EAAEF,CAAC,CAAC,SAASyqD,GAAG3qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,IAAI,CAAC,EAAEK,EAAED,EAAE,GAAG,KAAKA,EAAE,EAAEA,EAAE,GAAG,KAAKA,EAAE,EAAEF,EAAE,OAAO,OAAOG,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,CAAC,SAAS+qD,GAAGprD,EAAE,CAAC,OAAO,OAAOA,GAAG,WAAWA,EAAEsnD,GAAGtnD,IAAIA,EAAE,CAAC,KAAKsnD,GAAG,SAAS,KAAKA,GAAG,QAAQ,MAAM,UAAU,KAAKA,GAAG,SAAS,KAAKA,GAAG,SAAS,KAAKA,GAAG,QAAQ,KAAKA,GAAG,SAAS,MAAM,QAAQ,KAAKA,GAAG,QAAQ,MAAM,OAAO,KAAKA,GAAG,UAAU,MAAM,UAAU,KAAKA,GAAG,UAAU,MAAM,SAAS,QAAQ,OAAO,IAAI,CAAC,CAAC,SAAS6D,GAAGnrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,KAAKA,EAAE,KAAK,KAAKF,CAAC,CAAC,SAAS+qD,GAAGjrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,KAAKgrD,GAAGhrD,EAAE,IAAI,EAAEF,CAAC,CAAC,SAASgrD,GAAGlrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,IAAIC,GAAG+qD,GAAG/qD,CAAC,CAAC,EAAEH,CAAC,CAAC,SAASqrD,GAAGvrD,EAAE,CAAC,GAAG,CAACA,EAAE,YAAY,OAAOA,EAAE,KAAK,KAAKA,EAAE,IAAI,IAAI,GAAG,OAAO,EAAE,MAAM,SAAS,EAAE,KAAK,SAAS,EAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS+qD,GAAG/qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,MAAMmrD,GAAGnrD,EAAE,KAAK,EAAEF,CAAC,CAAC,SAAS0qD,GAAG5qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,IAAIA,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,OAAOA,EAAE,KAAK,EAAEA,EAAE,KAAK,IAAI,CAAC,GAAG,IAAIC,GAAG,OAAOA,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,EAAEH,CAAC,CAAC,SAASwqD,GAAG1qD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,GAAG,OAAOK,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAE,IAAI,GAAGirD,GAAG,EAAElrD,CAAC,CAAC,EAAEF,CAAC,CAAC,SAAS8qD,GAAGhrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,IAAIC,GAAGkrD,GAAGlrD,CAAC,CAAC,EAAEH,CAAC,CAAC,SAAS4qD,GAAG9qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEF,CAAC,CAAC,IAAIsrD,GAAG,KAAK,CAAC,YAAY5qD,EAAEV,EAAE,EAAE,CAAC,KAAK,KAAKU,EAAE,KAAK,UAAUV,EAAE,KAAK,QAAQ,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,OAAOU,EAAE,WAAW,IAAIP,GAAG,KAAK,SAASA,CAAC,CAAC,EAAEO,EAAE,UAAU,OAAO,KAAK,MAAM,OAAO,KAAKA,EAAE,QAAQ,EAAE,OAAO,CAACP,EAAEwB,KAAKxB,EAAEwB,GAAG,KAAK,QAAQA,CAAC,EAAExB,GAAG,CAAC,CAAC,EAAE,CAAC,SAASO,EAAE,CAAC,OAAO+mD,GAAG/mD,EAAE,KAAK,UAAU,KAAK,OAAO,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,SAASU,GAAG,GAAG,EAAE,QAAQ,KAAK,OAAO+mD,GAAG/mD,EAAE,KAAK,UAAU,KAAK,OAAO,EAAE,GAAG,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,OAAO+pD,GAAG,KAAK,KAAK,SAAS/pD,EAAEV,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAOuqD,GAAG,KAAK,KAAK,SAAS7pD,EAAEV,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAO2qD,GAAG,KAAK,KAAK,SAASjqD,EAAEV,CAAC,EAAE,GAAG,EAAE,OAAO,KAAK,OAAO6qD,GAAG,KAAK,KAAK,SAASnqD,EAAEV,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,OAAO+qD,GAAG,KAAK,KAAK,SAASrqD,EAAEV,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,CAAC,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,KAAK,GAAG,KAAK,OAAO0qD,GAAG,KAAK,KAAK,SAAShqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAOwqD,GAAG,KAAK,KAAK,SAAS9pD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,OAAO,KAAK,OAAO8qD,GAAG,KAAK,KAAK,SAASpqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAO4qD,GAAG,KAAK,KAAK,SAASlqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,OAAOgrD,GAAG,KAAK,KAAK,SAAStqD,EAAEV,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,EAAMurD,GAAG,CAAC,EAAExrD,GAAGwrD,GAAG,CAAC,gBAAgB,IAAIzjE,GAAG,IAAI,IAAI+E,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,EAAE,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIG,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,eAAe,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIG,GAAG,KAAK,IAAIE,GAAE,KAAK,IAAIC,GAAG,YAAY,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,OAAO,IAAIE,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,cAAc,IAAIG,GAAG,aAAa,IAAIE,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIG,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAII,GAAG,SAAS,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,oBAAoB,IAAIG,GAAG,MAAM,IAAIG,GAAG,IAAI,IAAIC,GAAG,cAAc,IAAIC,GAAG,IAAI,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIG,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIE,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIU,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,YAAY,IAAIC,GAAG,MAAM,IAAII,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,UAAU,IAAII,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,2BAA2B,IAAII,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,WAAW,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,QAAQ,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIE,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIG,GAAG,cAAc,IAAIC,GAAG,IAAI,IAAIC,EAAE,aAAa,IAAIC,GAAG,YAAY,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIE,GAAG,SAAS,IAAIC,GAAG,OAAO,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,GAAG,IAAIC,EAAE,aAAa,IAAIC,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIE,GAAG,YAAY,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIE,GAAG,WAAW,IAAIC,GAAG,KAAK,IAAIO,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIE,EAAE,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,OAAO,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIE,GAAG,KAAK,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,eAAe,IAAIS,GAAG,QAAQ,IAAIC,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIE,GAAG,SAAS,IAAIC,GAAG,eAAe,IAAIC,GAAG,OAAO,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,KAAK,IAAII,GAAG,KAAK,IAAIE,GAAG,UAAU,IAAIE,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,mBAAmB,IAAIG,GAAG,QAAQ,IAAIC,GAAG,WAAW,IAAIE,GAAG,SAAS,IAAII,GAAG,MAAM,IAAIU,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,UAAU,IAAIC,EAAE,CAAC,EAAE,IAAIksD,GAAG,CAAC1rD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,UAAU,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,oBAAoB,MAAM,CAACE,EAAE,kBAAkBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM2rD,GAAG,CAAC3rD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,IAAI,aAAa,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,cAAc,MAAM,CAACE,EAAE,YAAYsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMunD,GAAG3nD,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMunD,GAAG3nD,EAAE,WAAW,GAAG,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS4rD,GAAG5rD,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAG,EAAE,OAAOF,GAAG,UAAU,OAAO,GAAG,UAAU,CAACxB,EAAE,OAAOwB,EAAE,SAAS,EAAE,OAAO,IAAIE,EAAE,WAAWF,SAAS,cAAc,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAEL,EAAEI,GAAG,EAAE,EAAEA,GAAG5B,EAAE,OAAO6B,EAAE,GAAG,EAAE,GAAGA,IAAI,EAAE,IAAIH,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,SAAS6rD,GAAG7rD,EAAE,CAAC,MAAM,EAAE,OAAOA,GAAG,UAAUA,EAAE,KAAK,GAAG,EAAE,CAAC,EAAE,CAAC,SAAS8rD,GAAG9rD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE2rD,GAAG/rD,EAAEE,CAAC,EAAEG,EAAE,CAACwrD,GAAGzrD,CAAC,EAAE,GAAGC,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,qFAAqFD,GAAG,EAAE,GAAGC,GAAG,EAAE,QAAQ,GAAG,CAACD,EAAE2rD,GAAG,EAAE,MAAM3rD,CAAC,CAAC,CAAC,EAAE,CAACyrD,GAAGzrD,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmCA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAAS2rD,GAAG/rD,EAAE,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,OAAO,EAAE,GAAG,OAAO,GAAG,SAAS,OAAOA,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,oCAAoCA,SAAS,GAAG,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE,CAAC,IAAIC,EAAEL,EAAEI,GAAG,EAAE,EAAEA,GAAG,GAAGC,GAAG,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCL,SAAS,GAAG,EAAEE,EAAEE,GAAGC,GAAG,EAAEA,EAAE,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI8rD,GAAG,KAAK,CAAC,YAAYprD,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,KAAKnB,EAAE,KAAK,MAAMV,EAAE,KAAK,QAAQ,EAAE,KAAK,aAAaG,EAAE,KAAK,uBAAuBwB,EAAE,KAAK,YAAYC,EAAE,KAAK,eAAeC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS5H,GAAG,CAAC,EAAE/F,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,cAAcwM,EAAE,CAAC,KAAK,QAAQ,QAAQV,GAAG,EAAEU,GAAG,MAAM,CAACA,EAAE,IAAIV,EAAE,OAAO,EAAE,IAAIA,EAAE,OAAO,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,KAAKU,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGA,EAAE,GAAGA,GAAG,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4BA,yBAAyB,KAAK,KAAK,GAAG,EAAE,IAAIV,EAAE,KAAK,QAAQU,GAAG,GAAGV,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8BAA8BU,uGAAuG,EAAE,OAAO,KAAK,iBAAiBV,EAAE,QAAQ,IAAIA,EAAE,KAAK,GAAGA,EAAE,MAAM,CAAC,SAASU,EAAE,CAAC,OAAOA,EAAE,IAAIV,GAAG,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGU,EAAE,GAAG,CAAC,KAAK,aAAaA,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,+CAA+C,KAAK,SAAS,EAAE,IAAI,EAAE,KAAK,QAAQA,IAAI,CAAC,EAAE,GAAGV,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CU;AAAA,uCACto2EV,EAAE,mCAAmC,KAAK,QAAQ,EAAE,GAAG,KAAK,KAAK,IAAI,IAAI,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,KAAK,KAAK,aAAaA,EAAE,OAAO0rD,GAAG,KAAK,aAAa1rD,EAAE,MAAM,eAAe,KAAK,8CAA8CU,IAAI,EAAE,EAAE,KAAK,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,sCAAsC,EAAE,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,yCAAyC,EAAE,EAAE,OAAOV,EAAE9L,GAAG8L,CAAC,EAAE,EAAE,QAAQ,GAAG,KAAK,QAAQU,GAAG,CAAC,CAAC,UAAUA,EAAEV,EAAE,CAAC,GAAGU,EAAE,SAASV,EAAE,OAAO,MAAM,IAAI,MAAM,eAAe,KAAK,kEAAkEU,EAAE,2CAA2CV,EAAE,SAAS,EAAEU,EAAE,QAAQ,CAAC,EAAEP,IAAI,KAAK,MAAM,EAAEH,EAAEG,EAAE,CAAC,CAAC,CAAC,OAAOO,EAAEV,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAGU,EAAEA,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,MAAM,CAACA,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIO,EAAE,KAAKP,CAAC,CAAC,CAAC,GAAGO,EAAE,SAAS,EAAE,OAAO3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS2D,CAAC,EAAE,OAAOgrD,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,8BAA8B,EAAEpvD,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOoE,EAAE,CAAC,GAAG,CAAC,CAACA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,OAAO3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAIiD,EAAE,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIH,EAAE,KAAKG,CAAC,EAAE,IAAI,EAAE,KAAK,SAASH,CAAC,EAAE,OAAO0rD,GAAG,KAAK,aAAa,EAAE,GAAG,MAAM,mDAAmD,KAAK,wCAAwC,EAAE,GAAG,QAAQ,EAAEx8D,GAAG,EAAE,CAAC,CAAC,CAAC,QAAQwR,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,GAAGU,EAAE,SAASV,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsDU,EAAE,cAAcV,EAAE,MAAM,IAAI,EAAE,IAAI,EAAE,KAAK,IAAI,GAAGU,CAAC,EAAE,GAAG,CAAC,KAAK,aAAa,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU,EAAE,KAAK,UAAUA,EAAEvC,GAAG6B,EAAE,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,IAAI,EAAE,EAAEG,EAAEO,EAAE,IAAIoB,IAAI,GAAGA,EAAE,EAAE,EAAE,GAAG,IAAI9B,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAE/pE,6BAA6BA,EAAE,OAAO,EAAE,GAAG,CAAC,KAAK,aAAaU,EAAE,SAAS,KAAK,QAAQ,MAAM,IAAI,MAAM,2DAA2D,KAAK,eAAeA,EAAE,sEAAsE,EAAE,IAAIiB,EAAE,IAAI,EAAE,EAAE3B,EAAE,KAAK,EAAE4B,EAAE,CAAC,EAAEpE,EAAE,IAAI,CAACwC,EAAExG,EAAEwG,EAAE,CAAC,EAAE,EAAE2B,CAAC,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAEV,IAAI,EAAE,EAAE3B,EAAE2B,EAAE,GAAG,CAAC,EAAEW,EAAE,CAAC,EAAE/B,EAAEoB,GAAGH,CAAC,EAAEC,EAAEE,GAAGtI,EAAE6B,GAAG2E,EAAEwC,EAAEC,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,OAAOb,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpB,EAAE,OAAOoB,IAAID,EAAEC,GAAGA,EAAE,KAAK,UAAUD,EAAED,CAAC,CAAC,CAAC,EAAMmqD,GAAG,KAAK,CAAC,YAAYrrD,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,KAAK,QAAQO,EAAE,KAAK,aAAaV,EAAE,KAAK,aAAa,EAAEU,GAAG,MAAMA,EAAE,QAAQiB,GAAG,CAAC,GAAG,IAAIA,EAAE,MAAM,MAAM,IAAI,MAAM,mCAAmC,wBAAwBA,EAAE,OAAO,EAAE+pD,GAAG1rD,EAAE2B,EAAE,MAAM,6BAA6B,EAAEzN,GAAGyN,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS1H,GAAG,CAAC,EAAE,KAAK,eAAekG,EAAEjM,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,MAAM,CAAC,OAAO,IAAI63D,GAAG,CAAC,GAAG,KAAK,OAAO,EAAE,KAAK,aAAa,KAAK,YAAY,CAAC,CAAC,cAAcrrD,EAAE,CAAC,KAAK,QAAQ,QAAQV,GAAG,EAAEU,GAAG,MAAM,CAACA,EAAE,IAAIV,EAAE,EAAE,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,OAAO,EAAE,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,MAAMU,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,IAAI,IAAI,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB,EAAE0rD,GAAGhrD,EAAE,KAAK,aAAa,6BAA6B,EAAE,IAAIP,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQlrD,CAAC,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAImE,EAAE,KAAK,QAAQ,IAAIC,GAAGpI,EAAEoI,EAAEzB,CAAC,CAAC,EAAE,OAAO7D,GAAGqF,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQjB,EAAEV,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE4rD,GAAG,KAAK,aAAa,KAAK,QAAQlrD,CAAC,EAAEP,EAAE,KAAK,QAAQ,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAGurD,GAAGvrD,EAAE,MAAMO,EAAE,6BAA6B,EAAElH,EAAE2G,EAAE,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGgrD,GAAGhrD,EAAE,MAAM,KAAK,aAAa,6BAA6B,EAAE,KAAK,iBAAiB,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAExM,GAAGwM,CAAC,EAAE,KAAK,QAAQ,KAAKA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,0DAA0DA,GAAG,EAAE,GAAG,KAAK,iBAAiB,IAAIA,EAAE,KAAK,eAAe,MAAM,IAAI,MAAM,+BAA+BA,8BAA8B,KAAK,iBAAiB,EAAE,IAAIV,EAAE,IAAI+rD,GAAG,CAAC,EAAE,KAAK,aAAa,KAAK,aAAa,KAAK,cAAc,EAAE/rD,EAAE,QAAQ,OAAOU,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,IAAI,KAAK,QAAQ,OAAOA,CAAC,EAAE,EAAE,EAAEV,EAAE,QAAQ,GAAG,KAAK,QAAQ,GAAG,OAAOA,CAAC,CAAC,QAAQU,EAAEV,EAAE,EAAE,CAAC,GAAG,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc,EAAE,GAAGU,EAAE,GAAGA,EAAE,KAAK,QAAQ,OAAO,MAAM,IAAI,MAAM,4BAA4BA,oBAAoB,KAAK,QAAQ,kBAAkB,EAAE,GAAG,KAAK,QAAQA,IAAI,KAAK,MAAM,IAAI,MAAM,oBAAoBA,YAAY,EAAEgrD,GAAG,KAAK,QAAQhrD,GAAG,MAAMV,EAAE,6BAA6B,EAAE,IAAIG,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQ5rD,CAAC,EAAE,OAAOxG,EAAE,KAAK,QAAQkH,GAAGP,CAAC,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGU,EAAE,GAAG,KAAK,iBAAiB,IAAIA,GAAG,KAAK,eAAe,MAAM,IAAI,MAAM,yBAAyBA,wBAAwB,KAAK,0BAA0B,EAAEgrD,GAAG,KAAK,aAAa1rD,EAAE,MAAM,6BAA6B,EAAE9L,GAAG8L,CAAC,EAAE,KAAK,QAAQU,IAAI,OAAO,KAAK,QAAQA,GAAG,KAAK,IAAI,KAAK,QAAQA,GAAGV,CAAC,CAAC,OAAOU,EAAEV,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE0rD,GAAG,KAAK,aAAa,EAAE,6BAA6B,EAAEhrD,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,EAAE,IAAIP,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,OAAOlrD,EAAE,SAAS,EAAE3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOoD,CAAC,CAAC,EAAE3C,EAAE,IAAI,CAAC,IAAImE,EAAEjB,EAAE,IAAIkB,GAAGpI,EAAE,KAAK,QAAQoI,GAAGzB,CAAC,CAAC,EAAE,OAAO7D,GAAGqF,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,EAAEV,EAAE,CAAC,GAAG,CAAC,CAACU,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2CA,GAAG,EAAEgrD,GAAG,KAAK,aAAa1rD,EAAE,6BAA6B,EAAE,IAAI,EAAE4rD,GAAG,KAAK,aAAa,KAAK,QAAQ5rD,CAAC,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEjD,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAES,EAAE,IAAI,CAAC,IAAI2C,EAAE,KAAK,QAAQ,IAAIwB,GAAGnI,EAAEmI,EAAE,CAAC,CAAC,EAAE,OAAOzS,GAAGiR,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS6rD,GAAGlsD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,GAAGA,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,OAAO,EAAE,GAAGA,EAAE,QAAQE,EAAE,MAAM,IAAI,MAAM,mCAAmCF,EAAE,4BAA4BE,GAAG,EAAE,IAAIG,EAAEL,EAAE,MAAM,MAAM,CAAC,EAAE4rD,GAAGvrD,EAAE,EAAE,6BAA6B,EAAE,IAAI,EAAEhC,GAAG2B,CAAC,EAAE,OAAO,IAAIisD,GAAG,EAAE,EAAE7rD,CAAC,CAAC,CAAC,SAAS+rD,GAAGnsD,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,IAAI6rD,GAAG,CAAC,EAAEjsD,EAAE,EAAEI,CAAC,CAAC,CAAC,SAASgsD,GAAGpsD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,EAAE,SAASJ,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,EAAE,MAAM,IAAI,EAAE,IAAIK,EAAE,KAAK,IAAI,GAAG,CAAC,EAAE,GAAGD,GAAG,MAAMA,IAAI,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAM,mCAAmCC,UAAUD,IAAI,EAAE,IAAI,EAAE,IAAI6rD,GAAG,CAAC,EAAE/rD,EAAEF,EAAE,MAAMI,CAAC,EAAE,EAAE/B,GAAG2B,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAAC+B,EAAEC,IAAI,CAAC,EAAE,QAAQD,EAAE,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASqqD,GAAGrsD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEC,EAAE,EAAE,IAAIqC,IAAItC,GAAGsC,EAAEtC,EAAE,EAAE,GAAGA,IAAIJ,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM;AAAA;AAAA,UAE/5JI,6BAA6BJ,EAAE,OAAO,EAAE,IAAI,EAAEA,EAAE,MAAM,MAAM,CAAC,EAAE,EAAE+rD,GAAG,EAAE7rD,CAAC,EAAE6B,EAAE3B,IAAI,EAAE,EAAEJ,EAAE,KAAKI,EAAE4B,EAAEtE,EAAE,IAAI,CAAC,IAAIgF,EAAE,CAAC,EAAE1C,EAAEtG,EAAEsG,EAAE,CAAC,EAAEI,EAAE2B,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,IAAI,EAAE,EAAEtC,EAAEsC,EAAE,GAAG,CAAC,EAAEG,EAAE,CAAC,EAAE,EAAEH,GAAGZ,CAAC,EAAEW,EAAEC,GAAGjJ,EAAE6B,GAAGyE,EAAE6C,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO9C,EAAE,QAAQ,EAAE0C,CAAC,CAAC,EAAET,EAAE,IAAIgqD,GAAG,CAAC,EAAE/rD,EAAEF,EAAE,MAAM,EAAE,MAAM,EAAE,QAAQ0C,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIT,EAAE,QAAQS,EAAEV,EAAEU,EAAE,EAAE,OAAOT,CAAC,CAAC,IAAIqqD,GAAG,MAAMtsD,EAAE,EAAEE,IAAI,CAAC,OAAOF,EAAE,GAAG,CAAC,IAAI,KAAK,IAAI,cAAc,CAAC,IAAII,EAAEsnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAM,EAAE,KAAK,GAAG,GAAGA,EAAE,YAAYE,GAAG,qBAAqB,EAAEF,EAAE,eAAeA,EAAE,aAAa,EAAEA,EAAE,YAAYG,GAAG,qBAAqB,EAAEH,EAAE,eAAeA,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,IAAI,iBAAiB,CAAC,IAAIE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,MAAMA,EAAE,YAAYG,GAAG,qBAAqB,EAAEH,EAAE,eAAeA,EAAE,aAAa,EAAE6B,EAAE,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,EAAE,GAAG,KAAK,EAAE,EAAE,QAAQU,GAAG,CAAC,CAACA,EAAE,MAAMX,EAAE,QAAQW,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAIT,EAAE,EAAE,KAAKD,EAAE,IAAI,CAAC,IAAIU,EAAET,EAAEA,EAAE,MAAM/B,EAAE,YAAYE,GAAG,qBAAqB6B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,EAAE,IAAIyC,EAAEV,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEH,EAAE,QAAQG,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAID,EAAE,MAAM1C,EAAE,YAAYG,GAAG,qBAAqB4B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,EAAE8B,EAAE,MAAMY,EAAE,GAAG,KAAK,EAAEA,EAAE,QAAQC,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,IAAI,WAAW,CAAC,IAAI7B,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,OAAOG,EAAE,OAAOA,EAAE4nD,GAAG5nD,CAAC,IAAI,MAAMD,EAAE,KAAK,GAAG,GAAG,CAAC,OAAOC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEJ,EAAE,WAAW,KAAKK,GAAGsnD,GAAGtnD,EAAE,EAAEH,CAAC,IAAI,MAAM,EAAE,GAAGE,EAAE,CAAC,IAAIC,EAAEsnD,GAAGvnD,EAAE,EAAEF,CAAC,EAAE,MAAM,CAAC+nD,GAAG5nD,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEsnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,WAAWE,CAAC,EAAE,CAAC6nD,GAAG5nD,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,cAAc,EAAE,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,yBAAyB1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAE,IAAIspD,GAAG/pD,EAAE5B,EAAED,EAAE,EAAE4B,EAAE,EAAED,CAAC,EAAE,OAAO7B,EAAE,eAAewC,CAAC,EAAE,CAACA,EAAE,SAASvI,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIiG,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,MAAMC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeE,EAAE,EAAE,EAAE,KAAKC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAOC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACG,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,MAAM,EAAEC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,MAAM,CAACjG,GAAGkG,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAOC,EAAE,cAAc,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEqqD,GAAG/rD,EAAED,EAAE,EAAE,CAAC,EAAE,OAAOF,EAAE,cAAc6B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,IAAI,kBAAkB,CAAC,IAAI3B,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEF,EAAE,KAAK,oBAAoB,EAAE,cAAc,EAAE,iBAAiB,IAAI,EAAE0nD,EAAE,EAAE1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE/B,EAAE,KAAK,oBAAoB,GAAG,EAAEgC,EAAEmqD,GAAG/rD,EAAEC,EAAE,EAAE0B,CAAC,EAAE,OAAO7B,EAAE,cAAc8B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAI5B,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAOC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,MAAMC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEgsD,GAAG9rD,EAAEC,EAAE,CAAC,EAAE,OAAOH,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,IAAI,qBAAqB,CAAC,IAAIE,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,cAAcE,EAAE,EAAE,EAAE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACG,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAO,EAAE,SAASC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,QAAQC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEmsD,GAAGjsD,EAAE,EAAEC,CAAC,EAAE,OAAOH,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAIE,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,cAAcE,EAAE,EAAE,EAAE,MAAM,CAACjG,GAAGkG,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE4B,EAAE5B,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAOC,CAAC,EAAE,OAAOH,EAAE,cAAc4B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa9B,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASusD,GAAGvsD,EAAE,EAAEE,EAAE,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,IAAI,UAAU,EAAE,CAAC,EAAE2B,EAAE1B,IAAI,QAAQ2B,EAAE5B,IAAI,iBAAiB6B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG6B,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,uGAAuG,EAAE,GAAG,CAACF,GAAG,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,GAAGD,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAIU,EAAEglD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAEqlD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE0C,EAAE8kD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE2C,EAAE6kD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,CAAC4C,EAAEkB,CAAC,EAAE0jD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,IAAI8D,EAAElB,EAAEA,EAAE,QAAQ,IAAI,EAAE4kD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,OAAOwC,EAAE,IAAIC,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQC,EAAE,SAASkB,EAAE,eAAe3D,EAAE,eAAe,CAAC,CAAC,CAAC,IAAImsD,GAAG,CAACxsD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,SAAS,CAAC,IAAIK,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAO1B,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE4pD,GAAGvsD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,OAAO,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,GAAG,CAAC,OAAOtC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE4pD,GAAGvsD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,gBAAgB,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,kBAAkB,CAAC,IAAItC,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,gBAAgBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,IAAI,kBAAkB,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACE,EAAE,gBAAgBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC0B,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,sBAAsB1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,OAAO8B,EAAE,QAAQC,CAAC,EAAE7B,EAAE,kBAAkBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,CAACG,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAE0B,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAI5B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACG,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAE,CAACG,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAG,MAAM,CAACtC,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAAC6B,EAAEC,CAAC,EAAE,EAAE,CAACC,EAAES,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa1C,EAAE,uBAAuB,CAAC,CAAC,EAAMysD,GAAG,CAACzsD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,OAAO,CAAC,IAAIK,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,IAAIA,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,YAAYC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,MAAM,CAAC5B,EAAE,KAAKsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,uBAAuB,MAAM,CAACE,EAAE,qBAAqBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,CAAC,IAAIG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAMC,EAAE,EAAE,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAIG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,gBAAgBC,EAAE,EAAE,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,MAAM,CAAC3B,EAAE,MAAMsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS0sD,GAAG1sD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,OAAOC,EAAE,cAAc,EAAE,aAAa,EAAE,eAAe0B,EAAE,aAAaC,CAAC,CAAC,CAAC,IAAI2qD,GAAG,MAAM3sD,EAAE,EAAEE,EAAEE,EAAEC,EAAEorD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAc+B,EAAE,aAAaC,EAAE,eAAeC,EAAE,aAAaS,CAAC,EAAEgqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAEyC,EAAE,MAAMtC,EAAE,MAAM,gCAAgC,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,cAAc,CAAC,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEyqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAE,MAAMtC,EAAE,MAAM,6BAA6B,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,IAAI,sBAAsB,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEyqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMG,EAAE,MAAM,uBAAuB,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE5B,EAAE,KAAKqnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,MAAMG,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAI,WAAW,OAAOA,EAAE,eAAeqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM4sD,GAAG,CAAC5sD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,aAAa,CAAC,IAAIK,EAAEqnD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE3B,EAAE,KAAKC,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC0B,EAAE,OAAOA,EAAE,OAAO,CAAC,CAAC,IAAI,aAAa,CAAC,IAAI1B,EAAEqnD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,EAAE,OAAOC,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,EAAE,OAAOC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaL,EAAE,uBAAuB,CAAC,CAAC,EAAM6sD,GAAG,CAAC7sD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,QAAQ,OAAO,EAAEA,EAAE,MAAM,IAAI,yBAAyB,IAAIK,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACynD,GAAG3nD,EAAE,KAAK,EAAEE,CAAC,GAAGG,CAAC,EAAE,IAAI,cAAc,MAAM,CAACsnD,GAAG3nD,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,eAAe,IAAI,0BAA0B,CAAC,IAAIwC,EAAEglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAGvlD,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,OAAOglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,IAAIwC,GAAGulD,GAAGvlD,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,EAAEglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAG,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAAC7nD,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,OAAO,CAAC,EAAE,IAAI,SAAS,OAAOwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,IAAIwC,GAAGtC,EAAE,SAASsC,EAAE,KAAK,CAAC,EAAE,IAAI,OAAO,MAAM,CAACtC,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,OAAO,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,KAAK,gGAAgG,EAAE,QAAQ,IAAI8B,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAEX,EAAE,OAAOW,IAAI,QAAQ,IAAI,MAAM,UAAU,MAAM,KAAKX,EAAEW,GAAG,SAAS,CAAC,EAAE,MAAM,EAAET,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAM8sD,GAAG,KAAK,CAAC,YAAYlsD,EAAEV,EAAE,CAAC,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO/F,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI,IAAI/F,GAAG,KAAK,MAAM,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,OAAO,EAAE,CAAC,eAAe,CAAC,KAAK,UAAU,QAAQwM,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE,KAAK,OAAO,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,UAAU,IAAI,CAAC,YAAY,CAAC,OAAOzG,GAAG,KAAK,KAAK,EAAE,OAAO,CAAC,CAAC,MAAM,OAAOyG,EAAEV,EAAE,CAAC,KAAK,uBAAuBU,EAAEV,CAAC,EAAE,IAAI,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAO,KAAK,UAAU,QAAQP,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE3C,EAAE,IAAI,CAAC,IAAI2C,EAAEhC,GAAG6B,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAEzB,EAAE,OAAO7B,EAAE,OAAOqD,IAAIC,EAAE,IAAI,kDAAkDD,8BAA8BC,aAAa,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAG,EAAE1B,EAAE0B,GAAG3N,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI4N,EAAE,CAAC,CAAC,CAAC,OAAO,KAAK,MAAM,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAEV,EAAE,CAAC,KAAK,uBAAuBU,EAAEV,CAAC,EAAE,IAAI,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAI2C,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAGE,EAAE,KAAK,gBAAgBD,EAAE5B,CAAC,EAAEG,EAAE,KAAK0B,CAAC,CAAC,CAAC,OAAOvF,GAAG6D,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBO,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIU,CAAC,EAAE,OAAO,GAAG,KAAK,EAAEV,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,CAAC,GAAGU,EAAE,QAAQ,KAAK,SAAS,MAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqBA,EAAE,OAAO,EAAE,GAAGV,EAAE,QAAQ,KAAK,WAAW,MAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,EAAE,OAAO,CAAC,CAAC,EAAM6sD,GAAG,MAAM/sD,EAAE,EAAEE,EAAEE,IAAI,CAAC,OAAOJ,EAAE,GAAG,CAAC,IAAI,YAAY,IAAI,cAAc,CAAC,IAAIK,EAAED,EAAE,yBAAyBJ,EAAE,IAAI,EAAE,GAAGK,GAAG,KAAK,MAAM,CAACA,CAAC,EAAE,CAAC,IAAI,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE,IAAI+qD,GAAG,EAAE,CAAC,EAAE,OAAO1sD,EAAE,aAAaJ,EAAE,KAAK+B,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,IAAI,oBAAoB,IAAI,sBAAsB,CAAC,IAAI1B,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,iBAAiBC,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,iBAAiBC,EAAE,EAAE,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,iBAAiBC,EAAE,EAAE,EAAE,WAAW,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaL,EAAE,uBAAuB,CAAC,CAAC,EAAMgtD,GAAG,CAAChtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,iBAAiB,CAAC,IAAIK,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,eAAeC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,CAAC,IAAI1B,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,sBAAsBC,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAI1B,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,cAAcC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,IAAI5B,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,UAAUC,EAAE,EAAE2B,EAAE,YAAY,EAAEC,EAAE,YAAY,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa/B,EAAE,uBAAuB,CAAC,CAAC,EAAMitD,GAAG,CAACjtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,MAAM,CAACE,EAAE,aAAasnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,IAAI,WAAW,MAAM,CAACE,EAAE,MAAMsnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMktD,GAAG,CAACltD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,cAAc,IAAI,gBAAgB,IAAI,SAAS,MAAM,CAACI,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACE,EAAE,OAAOsnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,GAAGwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,GAAG,CAACG,EAAE,CAAC,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEG,IAAI,UAAU0B,EAAE,IAAI,QAAQC,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG6B,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,oFAAoF,EAAE,GAAG,CAACD,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,+DAA+D,CAAC,CAAC,GAAG,CAACU,EAAEC,CAAC,EAAE+kD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,OAAO,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,WAAWwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,WAAWwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,KAAKwC,EAAE,WAAW,EAAE,uBAAuBC,EAAE,eAAeV,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAMmtD,GAAG,CAACntD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAcsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,IAAI,mBAAmB,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,2BAA2BsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMotD,GAAG,CAACptD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,mBAAmBK,EAAE,kBAAkB,CAAC,EAAED,EAAE,aAAasnD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,oBAAoB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,OAAOG,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,eAAeA,EAAE,cAAc,CAAC,EAAED,EAAE,YAAYsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,uBAAuB,MAAM,CAACD,EAAE,qBAAqBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,sBAAsB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,oBAAoB1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMqtD,GAAG,CAACrtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,CAAC,IAAI+B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIF,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,IAAI5B,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI,gBAAgB,CAAC,IAAI0B,EAAE2lD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,cAAc2B,EAAEC,EAAEC,EAAES,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa1C,EAAE,uBAAuB,CAAC,CAAC,EAAMstD,GAAG,CAACttD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,WAAW,IAAI,SAAS,CAAC,IAAIK,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,OAAO,EAAE,EAAE,MAAM,EAAEG,CAAC,EAAE,CAACD,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIC,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOC,EAAED,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIC,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAO,EAAEA,EAAE,KAAK2B,EAAE,OAAO,EAAE1B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE1B,EAAE,OAAO0B,IAAI1B,EAAE0B,IAAI,EAAE,KAAKA,CAAC,EAAE,IAAI,EAAE2lD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIC,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAE+kD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE0C,EAAE8kD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,aAAawC,EAAEvC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,OAAOjF,EAAE,IAAI,CAAC,IAAI2C,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,EAAE,GAAG,MAAM6B,EAAE3B,EAAE,QAAQ,EAAE,EAAE,EAAE,MAAM4B,EAAE,EAAE,IAAIC,GAAG,CAAC,IAAIS,EAAElE,EAAE,YAAYyD,EAAE,MAAM,CAAC,EAAE,GAAG,CAACS,GAAG,CAAClE,EAAE,YAAY4B,EAAE,QAAQ6B,CAAC,EAAE,MAAMF,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,OAAOW,EAAET,EAAE7B,EAAE,QAAQ6B,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC7B,EAAE,MAAM4B,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOE,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,kBAAkB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOE,EAAE,MAAM,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEqnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,cAAcC,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,MAAMA,EAAE3B,EAAE,KAAK2B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa/B,EAAE,uBAAuB,CAAC,CAAC,EAAMutD,GAAG,CAACvtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,cAAcK,EAAE,aAAa,EAAE,kBAAkB,EAAE,gBAAgB0B,CAAC,EAAE3B,EAAE,OAAO,oBAAoBsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,GAAG,CAAC,cAAc1B,EAAE,YAAY,CAAC,EAAED,EAAE,OAAO,cAAcsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,oBAAoB,MAAM,CAACD,EAAE,OAAO,kBAAkBsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACE,EAAE,OAAO,iBAAiBsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMwtD,GAAG,CAACxtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMytD,GAAG,CAACztD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAOK,EAAE,aAAa,CAAC,EAAED,EAAE,OAAO,aAAasnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,yBAAyB1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,QAAQA,EAAE,OAAO,EAAE,MAAM,CAAC,EAAED,EAAE,OAAO,YAAYsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,yBAAyB,MAAM,CAACD,EAAE,OAAO,uBAAuBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM0tD,GAAG,CAAC1tD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,CAAC,IAAIG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,MAAM,CAACD,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,CAAC,IAAIG,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,eAAesnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,iBAAiB,CAAC,IAAIA,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,eAAesnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEqnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACE,EAAE,aAAasnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,MAAM,CAACD,EAAE,YAAYsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,KAAK1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,KAAK1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS2tD,GAAG3tD,EAAE,EAAEE,EAAEE,EAAEC,EAAE3C,EAAE,CAAC,IAAI,GAAG,CAAC,EAAEqE,EAAEC,IAAI,CAAC,OAAO,EAAE,SAAS,CAAC,IAAI,aAAa,OAAO3B,EAAE,IAAIqrD,GAAG,EAAE3pD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIsrD,GAAG,EAAE5pD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAOsqD,GAAG,EAAEvqD,EAAEC,CAAC,EAAE,IAAI,cAAc,OAAO3B,EAAE,IAAImsD,GAAG,EAAEzqD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAIosD,GAAG,EAAE1qD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO2qD,GAAG,EAAE5qD,EAAEC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIusD,GAAG,EAAE7qD,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAI2sD,GAAG,EAAEjrD,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAIwsD,GAAG,EAAE9qD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO3B,EAAE,IAAI4sD,GAAG,EAAElrD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAI6sD,GAAG,EAAEnrD,EAAEC,CAAC,CAAC,EAAE,IAAI,gBAAgB,OAAO3B,EAAE,IAAI8sD,GAAG,EAAEprD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAI+sD,GAAG,EAAErrD,EAAEC,CAAC,CAAC,EAAE,IAAI,YAAY,OAAO3B,EAAE,IAAIgtD,GAAG,EAAEtrD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIitD,GAAG,EAAEvrD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIktD,GAAG,EAAExrD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAImtD,GAAG,EAAEzrD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIotD,GAAG,EAAE1rD,EAAEC,CAAC,CAAC,EAAE,IAAI,iBAAiB,OAAO3B,EAAE,IAAIqtD,GAAG,EAAE3rD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO+qD,GAAG,EAAEhrD,EAAEC,EAAE5B,CAAC,EAAE,IAAI,SAAS,IAAI6B,EAAEwlD,GAAG,EAAE,EAAE,EAAE,GAAGxlD,GAAGA,EAAE,eAAe,OAAOA,EAAE,eAAe,IAAIupD,GAAG,EAAEzpD,EAAEC,CAAC,CAAC,EAAE,MAAM,UAAU,aAAa,EAAE,uBAAuB,EAAE,QAAQ,MAAM,UAAU,eAAe,EAAE,uIAAuI,CAAC,CAAC,GAAGhC,EAAE,EAAEE,CAAC,EAAE,OAAO1B,EAAE,UAAU,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIovD,GAAG,KAAK,CAAC,YAAYhtD,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEG,EAAE,CAAC,EAAE,CAAC,KAAK,UAAUO,EAAE,KAAK,eAAeV,EAAE,KAAK,cAAc,EAAE,KAAK,YAAYG,EAAE,KAAK,YAAY,CAAC,GAAG,EAAE,UAAU,GAAG,YAAY,CAAC,EAAE,KAAK,SAAS,CAAC,KAAK,WAAW,EAAE,KAAK,OAAO,EAAE,KAAK,0BAA0B,CAAC,CAAC,SAASO,EAAEV,EAAE,CAAC,MAAM,CAAC,GAAGU,EAAE,UAAUV,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI,eAAeU,EAAE,CAAC,KAAK,WAAWA,IAAI,KAAK,SAASA,EAAE,KAAK,0BAA0B,EAAE,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,mBAAmB,EAAE,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,2BAA2B,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,EAAE,EAAEA,EAAE,KAAK,SAAS,OAAO,EAAEA,IAAI,CAAC,IAAI,EAAE,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAOA,CAAC,EAAEU,EAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAACA,EAAE,KAAK,EAAE,EAAE,KAAK,mBAAmBA,CAAC,CAAC,qBAAqBA,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIV,GAAGA,EAAE,KAAK,GAAGA,EAAE,cAAc,EAAE,GAAG,GAAGA,EAAE,aAAaA,EAAE,aAAa,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,OAAOA,CAAC,CAAC,EAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC,EAAE,CAAC,WAAW,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAO,EAAE,EAAE,KAAK,kBAAkB,MAAM,MAAO,OAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,eAAe,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,IAAIA,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,KAAK,SAAS,OAAO,EAAE,EAAEA,EAAE,aAAa,EAAEA,EAAE,GAAG,KAAK,OAAO,KAAK,SAAS,OAAO,GAAG,EAAEA,CAAC,EAAE,KAAK,mBAAmB,OAAO,EAAE,EAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,uDAAuD,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,UAAUA,EAAE,CAAC,eAAeA,EAAE,CAAC,KAAK,eAAeA,EAAE,IAAIA,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,eAAeA,EAAE,CAAC,cAAcA,EAAE,CAAC,KAAK,cAAcA,EAAE,IAAIA,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO,KAAK,cAAcA,EAAE,CAAC,QAAQA,EAAE,CAAC,QAAQV,KAAK,KAAK,eAAe,KAAK,eAAeA,GAAG,cAAcU,CAAC,EAAE,QAAQV,KAAK,KAAK,cAAc,KAAK,cAAcA,GAAG,cAAcU,CAAC,CAAC,CAAC,EAAE,SAASitD,GAAG7tD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,IAAI,IAAI,EAAE,CAAC,EAAE,EAAE,KAAK0B,EAAE,KAAKC,EAAE,IAAI,IAAIC,EAAE,OAAO,KAAKjC,CAAC,EAAE,IAAI4C,GAAGglD,GAAGhlD,CAAC,EAAE,EAAE,EAAEF,EAAE,CAAC,EAAEtC,GAAG,OAAOsC,EAAEtC,EAAE,IAAIwC,GAAGglD,GAAGhlD,EAAE,IAAI,EAAE,EAAE,GAAG,IAAID,EAAE,CAAC,GAAG,CAAC,EAAE,KAAKA,EAAE,OAAO,GAAG,CAAC,IAAIC,EAAED,EAAE,IAAI,EAAE,IAAImrD,GAAGlrD,CAAC,GAAGmrD,GAAGnrD,CAAC,GAAGorD,GAAGprD,CAAC,IAAI,GAAG,OAAO,EAAEA,EAAEb,EAAE,EAAE,SAAS,IAAIc,GAAGA,EAAE,IAAI,EAAE,OAAOA,GAAGxC,EAAE,IAAIwC,CAAC,CAAC,GAAGxC,EAAE,IAAIuC,EAAE,IAAI,EAAE1C,EAAE0C,EAAE,OAAO,MAAMX,EAAE,QAAQW,EAAE,IAAI,IAAI,IAAIF,EAAE,QAAQE,EAAE,IAAI,IAAI,GAAG,CAAC,GAAGA,EAAE,OAAO,SAAS,EAAE,CAAC,EAAE,KAAKA,EAAE,IAAI,EAAE,QAAQ,CAACA,EAAE,OAAO,QAAQC,GAAG,CAACb,EAAE,IAAIa,EAAE,IAAI,IAAIb,EAAE,IAAIa,EAAE,IAAI,EAAEF,EAAE,KAAKE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7C,EAAE,QAAQ,EAAE,UAAUK,EAAE,cAAc,EAAE,YAAY,EAAE,WAAW0B,CAAC,CAAC,CAAC,SAASksD,GAAGjuD,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,UAAUE,EAAE,OAAOC,CAAC,EAAEH,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,KAAKG,CAAC,EAAE,IAAIqC,GAAGklD,GAAGllD,CAAC,EAAE,EAAE,EAAE,IAAIA,GAAG1C,EAAE,MAAM0C,EAAE,EAAEX,EAAE/B,EAAE,UAAU,EAAE,QAAQ0C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE1C,EAAE,QAAQ,QAAQ0C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAEX,GAAG,MAAMA,EAAE,QAAQW,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,IAAIV,EAAE,IAAI,IAAIC,EAAE,CAAC,EAAE,KAAK,EAAE,OAAO,GAAG,CAAC,IAAIS,EAAE,EAAE,IAAI,EAAEV,EAAE,IAAIU,EAAE,IAAI,EAAE,EAAEA,EAAE,OAAOT,EAAE,KAAKS,CAAC,EAAEA,EAAE,SAAS,QAAQC,GAAG,CAAC,CAACX,EAAE,IAAIW,EAAE,IAAI,GAAGvC,EAAE,IAAIuC,EAAE,IAAI,GAAGA,EAAE,OAAO,MAAMC,GAAGZ,EAAE,IAAIY,EAAE,IAAI,CAAC,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOV,CAAC,CAAC,IAAIisD,GAAG,CAAC,SAAS,QAAQ,QAAQ,OAAO,gBAAgB,cAAc,iBAAiB,KAAK,OAAO,EAAEC,GAAG,CAAC,sBAAsB,sBAAsB,sBAAsB,OAAO,EAAEC,GAAG,CAAC,YAAY,cAAc,oBAAoB,sBAAsB,kBAAkB,oBAAoB,kBAAkB,mBAAmB,EAAE,SAASN,GAAG9tD,EAAE,CAAC,OAAOkuD,GAAG,QAAQluD,EAAE,EAAE,GAAG,CAAC,CAAC,SAAS+tD,GAAG/tD,EAAE,CAAC,OAAOmuD,GAAG,QAAQnuD,EAAE,EAAE,GAAG,CAAC,CAAC,SAASguD,GAAGhuD,EAAE,CAAC,OAAOouD,GAAG,QAAQpuD,EAAE,EAAE,GAAG,CAAC,CAAC,IAAIquD,GAAG,KAAK,CAAC,YAAYztD,EAAEV,EAAE,CAAC,KAAK,MAAMU,EAAE,KAAK,OAAOV,EAAE,KAAK,YAAY,IAAI,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,wBAAwB,GAAG,KAAK,SAASU,EAAE,QAAQ,KAAK,QAAQA,EAAE,OAAO,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAUA,EAAE,WAAW,MAAM,OAAO,KAAKA,EAAE,SAAS,EAAE,QAAQ,GAAG,CAAC,KAAK,qBAAqB,GAAG,IAAIytD,GAAGztD,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,oBAAoB,KAAK,oBAAoB,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAKU,CAAC,EAAE,IAAI,GAAGA,EAAE,GAAG,IAAIP,GAAGA,EAAE,EAAE,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO,GAAGH,CAAC,EAAE,KAAK,WAAWU,CAAC,CAAC,IAAI,gBAAgBA,EAAE,CAAC,KAAK,iBAAiBA,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,QAAQ,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,QAAQ,IAAIA,GAAGA,EAAE,cAAcA,EAAE,IAAI,CAAC,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,IAAIA,GAAG,CAAC,IAAIV,EAAEU,EAAE,cAAcA,EAAE,KAAK,OAAOA,EAAE,cAAc,GAAGV,KAAKU,EAAE,gBAAgBV,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAACU,EAAEV,KAAKU,EAAEV,GAAG,KAAK,WAAWA,GAAG,UAAUU,GAAG,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAExB,EAAEH,EAAE,IAAI2B,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,KAAK,SAAS,EAAE,KAAKxB,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,IAAI,EAAE2tD,GAAGjtD,EAAEV,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,cAAcG,EAAE,YAAYwB,EAAE,WAAWC,CAAC,EAAE,EAAE,GAAGD,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqCA,EAAE,oCAAoCA,EAAE,8GAA8GC,IAAI,EAAE,GAAGzB,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE7B,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE8B,EAAE,OAAO,KAAKpB,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+BmB,gCAAgCC,sCAAsC3B,IAAI,CAAC,CAAC,OAAO4tD,GAAG,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC,CAAC,mBAAmBrtD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAOxM,GAAG8L,CAAC,EAAEA,CAAC,CAAC,gBAAgBU,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIR,GAAG,KAAK,mBAAmBA,CAAC,CAAC,EAAE,IAAI,CAAC,eAAeQ,EAAE,CAAC,OAAO,OAAO,YAAY,OAAO,QAAQA,CAAC,EAAE,IAAI,CAAC,CAACV,EAAE,CAAC,IAAI,CAACA,EAAE,KAAK,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQU,EAAEV,EAAE,CAAC,KAAK,2BAA2B,EAAEU,EAAE,KAAK,UAAUA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEV,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,EAAE,IAAIG,EAAE,EAAE,IAAI,GAAG,KAAK,MAAM,MAAMunD,GAAG,CAAC,EAAE,GAAG,EAAE/lD,EAAE3B,EAAE,IAAI,GAAG0nD,GAAG,CAAC,EAAE,EAAE,EAAE9lD,EAAED,EAAE,IAAI,GAAG,KAAK,MAAM,MAAM,EAAE,EAAEC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,IAAIC,EAAE,KAAK,kBAAkB1B,EAAEyB,CAAC,EAAEE,EAAE,KAAK,YAAY,IAAID,CAAC,EAAEC,GAAG,OAAOA,EAAE,KAAK,QAAQpB,EAAEkB,CAAC,EAAE,KAAK,YAAY,IAAIC,EAAEC,CAAC,GAAG,GAAG,CAAC,KAAK,wBAAwBpQ,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAO,EAAN,CAAS,KAAK,wBAAwB,GAAG,QAAQ,KAAK,EAAE,OAAO,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE8Q,EAAE,CAAC,EAAE,OAAOhF,EAAE,IAAI,CAAC,IAAI,EAAE,IAAIkwD,GAAG,KAAK,UAAU,EAAElrD,EAAE,KAAK,mBAAmB,EAAEE,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,KAAK,0BAA0B,KAAK,iBAAiB,KAAK,eAAe,KAAK,SAAS,GAAG,OAAO,KAAKhC,CAAC,EAAE,QAAQoD,GAAG,CAAC,GAAG,CAACC,EAAEqD,CAAC,EAAEsgD,GAAG5jD,CAAC,EAAEc,EAAE,CAAC,EAAEA,EAAEwC,GAAG1G,EAAEoD,GAAGpB,EAAEqB,GAAGa,EAAE,KAAK,0BAA0B,KAAK,iBAAiBb,GAAG,KAAK,gBAAgBa,CAAC,EAAE,CAAC,EAAE,IAAIjC,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,GAAG,GAAG,CAACpB,EAAEqB,EAAE,MAAM,CAAC,IAAIqD,EAAEqmD,GAAG1pD,EAAErB,EAAE,EAAE,KAAK,gBAAgB,EAAE,GAAGpE,EAAE,UAAU8I,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4BrD,EAAE,kEAAkE,EAAErB,EAAEqB,EAAE,MAAMqD,EAAE,KAAK,0BAA0B,KAAK,iBAAiBrD,EAAE,MAAM,KAAK,gBAAgBqD,CAAC,GAAG,KAAK,uBAAuBrD,EAAE,KAAKA,EAAErB,EAAE,EAAEC,EAAEhB,EAAEiB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,QAAQ,MAAM,EAAE,QAAQD,CAAC,EAAE3C,EAAE,IAAI8D,GAAG2jD,GAAG3jD,EAAEpB,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBhC,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,OAAO,MAAM,CAAC,EAAE,OAAO,KAAKU,CAAC,EAAE,IAAI,GAAGA,EAAE,EAAE,EAAE,IAAI,GAAG,EAAE,IAAIP,GAAGA,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO,IAAI,IAAIH,CAAC,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC7B,EAAE,WAAW,WAAW4B,EAAE,QAAQlB,CAAC,IAAI,KAAK,EAAEA,GAAG,QAAQoB,GAAG,CAACA,GAAG,OAAOD,EAAEC,EAAE,KAAKD,EAAEC,EAAE,KAAK,GAAG9B,EAAE,SAAS,OAAO,CAAC,EAAEA,EAAE,OAAO,QAAQ8B,GAAG,CAAC,GAAGA,EAAE,WAAW,UAAU,CAAC,IAAI,EAAE8lD,GAAG9lD,EAAE,KAAK,EAAE3B,CAAC,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAC,GAAGA,GAAG,CAACA,EAAE,MAAM,CAACb,EAAE,IAAIa,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEX,EAAEW,EAAE,IAAI,IAAI,GAAGA,EAAE,QAAQ,EAAE,OAAOX,EAAEW,EAAE,KAAK,GAAG,MAAMX,EAAEW,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,aAAa9B,EAAEV,EAAE,CAAC,OAAO,KAAK,cAAcU,EAAEV,CAAC,CAAC,CAAC,4BAA4B,CAAC,CAAC,KAAK,mBAAmB,OAAO,OAAO,KAAK,gBAAgB,EAAE,QAAQU,GAAG,CAAC,QAAQV,KAAKU,EAAEV,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,iBAAiB,KAAK,CAAC,wBAAwB,CAAC,OAAO,KAAK,gBAAgB,CAAC,MAAM,cAAcU,EAAEV,EAAE,EAAE,GAAGG,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE,CAAC,KAAK,2BAA2B,EAAE,IAAIjB,EAAE,KAAK,UAAUA,CAAC,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEV,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,GAAG,GAAG,CAAC,KAAK,wBAAwBtO,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAOgR,EAAN,CAAS,KAAK,wBAAwB,GAAG,QAAQ,KAAKA,EAAE,OAAO,CAAC,CAAC,IAAId,EAAE,IAAI8rD,GAAG,KAAK,UAAUvtD,EAAEwB,EAAE,KAAK,mBAAmB,EAAE,KAAK,0BAA0B,KAAK,iBAAiB,KAAK,eAAe,KAAK,SAAS,GAAG,IAAIE,EAAE,MAAM,KAAK,uBAAuBnB,EAAEkB,EAAE5B,EAAE,CAAC,EAAE8B,EAAE9B,EAAE,IAAI0C,GAAG+kD,GAAG/kD,EAAEb,EAAED,CAAC,CAAC,EAAE,EAAEE,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEF,EAAE,OAAO,KAAK9B,CAAC,EAAE,IAAIgC,GAAGhC,EAAEgC,GAAG,EAAE,EAAE,EAAE,IAAI,IAAI,CAAC,GAAG,EAAE,GAAGF,EAAE,GAAG,KAAK,SAAS,CAAC,EAAE,OAAO,OAAO,OAAOX,CAAC,EAAE,QAAQa,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACA,GAAG,CAACA,EAAE,YAAY,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,MAAMf,EAAE,QAAQ,CAAC,EAAEE,CAAC,CAAC,MAAM,qBAAqBpB,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEO,EAAE,OAAO,CAACiB,EAAEC,EAAEC,KAAKF,EAAE,KAAK,OAAOE,GAAG,MAAMD,EAAED,GAAG,CAAC,CAAC,EAAE,OAAO,KAAK,cAAcxB,EAAE,KAAK,YAAY,GAAGH,EAAE,CAAC,CAAC,CAAC,MAAM,uBAAuBU,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAE,OAAO,KAAKjB,CAAC,EAAEkB,EAAED,EAAE,IAAI4C,GAAG,KAAK,MAAM,MAAMmjD,GAAGnjD,CAAC,EAAE,GAAG,EAAE1C,EAAE,EAAE,IAAI0C,GAAGmjD,GAAGnjD,CAAC,EAAE,EAAE,EAAEzC,EAAED,EAAE,IAAI0C,GAAG,KAAK,MAAM,MAAMA,EAAE,EAAEzC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,GAAG,CAAC,UAAU,EAAE,cAAcU,EAAE,YAAY,EAAE,WAAWE,CAAC,EAAEirD,GAAGjtD,EAAEoB,EAAE,KAAK,UAAU,KAAK,UAAU,EAAEa,EAAE,CAAC,GAAGf,EAAE,GAAG,KAAK,MAAM,QAAQ,GAAG,KAAK,YAAY,CAAC,CAAC,EAAE,IAAI2C,IAAI,CAAC,KAAKA,EAAE,SAASvE,EAAE,cAAc,EAAE,EAAE4C,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKlC,CAAC,EAAE,QAAQ6D,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEijD,GAAGnjD,CAAC,EAAEG,EAAE,CAAC,EAAEA,EAAED,GAAG/D,EAAE6D,GAAG3B,EAAE4B,GAAGE,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAEC,EAAE,KAAK,mBAAmBnB,CAAC,EAAEwE,EAAE,CAAC,EAAE,KAAKzE,EAAE,OAAO,GAAG,CAAC,IAAI4B,EAAE,KAAK,aAAa3C,EAAEe,EAAE3C,EAAE4C,EAAEwE,EAAErD,EAAElC,EAAEiC,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAIS,CAAC,CAAC,CAAC,GAAG,MAAM,CAACpE,GAAG,QAAQ,KAAK,iIAAiI,EAAE,IAAIyE,EAAE9C,EAAE,OAAOyC,GAAG,CAACqpD,GAAGrpD,CAAC,GAAG,CAACkjD,GAAGljD,EAAE,KAAK3B,EAAE5C,CAAC,CAAC,EAAE,IAAIuE,GAAGA,EAAE,IAAI,EAAE,GAAGK,EAAE,OAAO,EAAE,CAAC,IAAIL,EAAE,GAAG,MAAM,GAAG,OAAOA,EAAE,wFAAwF7B,MAAM,IAAI,MAAM,+BAA+BkC,gCAAgCjD,iDAAiDa,OAAO+B,GAAG,CAAC,CAAC,OAAO3B,CAAC,CAAC,aAAalC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAKxC,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,EAAE,eAAe,EAAE,SAAS,IAAI0C,EAAE,GAAG,GAAG,EAAE,KAAK,KAAK,SAAS8kD,EAAE,aAAa,EAAE,KAAKrnD,EAAE,CAAC,IAAI,CAACuC,CAAC,EAAEmlD,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG1nD,EAAE,EAAE,KAAK,OAAO,KAAK,CAAC,IAAIwC,EAAE8qD,GAAG,EAAE,KAAKttD,EAAE,EAAE,KAAK,gBAAgB,EAAEuC,IAAI,CAACA,CAAC,EAAEmlD,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG,IAAIjlD,EAAE,EAAE,eAAetE,EAAE,UAAUqE,CAAC,EAAEH,EAAE,KAAKG,EAAE,KAAKmB,IAAI3D,EAAEuC,GAAGoB,EAAE,KAAK,0BAA0B,KAAK,iBAAiBpB,GAAG,KAAK,gBAAgBoB,CAAC,GAAG,EAAE,eAAelB,EAAE,KAAK,uBAAuBF,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAK9B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,EAAEmC,EAAE,CAAC,GAAG3D,EAAEuC,GAAGC,EAAE,KAAK,0BAA0B,KAAK,iBAAiBD,GAAG,KAAK,gBAAgBC,CAAC,GAAG,KAAK,uBAAuBD,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAK9B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,EAAE,MAAM,KAAK,kBAAkB,EAAE,KAAK3B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,CAAC,CAAC,OAAOa,CAAC,CAAC,kBAAkB9B,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAClB,EAAE,SAAS,QAAQmB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE+lD,GAAGhmD,EAAE,KAAK,CAAC,EAAEF,EAAEG,IAAI,CAACF,EAAE,IAAIC,EAAE,IAAI,IAAIA,EAAE,KAAK,QAAQA,EAAE,WAAW,KAAK,GAAG,CAAC,CAAC4lD,GAAG,EAAEtnD,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAG9B,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK6B,CAAC,CAAC,GAAGA,EAAE,WAAW,MAAM,GAAG,CAAC,CAAC4lD,GAAG,EAAEtnD,EAAE,CAAC,CAAC,IAAIwB,EAAEG,GAAG,GAAG9B,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK6B,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,SAAS,EAAE,QAAQnB,GAAG,KAAK,UAAUA,GAAG,QAAQV,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,uBAAuBU,EAAE,CAAC,OAAO,KAAKA,CAAC,EAAE,QAAQV,GAAG,CAAC,IAAI,EAAEU,EAAEV,GAAG,CAACG,CAAC,EAAEunD,GAAG1nD,CAAC,EAAE2B,EAAE,KAAK,MAAM,MAAMxB,GAAG,GAAGwB,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,MAAM,CAAC,IAAIC,EAAED,EAAE,WAAW,MAAM,MAAME,EAAED,EAAE,SAAS,EAAE,MAAM,QAAQ,EAAE,MAAM,MAAM,CAACE,EAAE,IAAIF,EAAE,KAAK,IAAIA,EAAE,KAAKE,CAAC,EAAExD,EAAE,OAAOuD,EAAE,IAAI,sBAAsBF,EAAE,mDAAmDC,gBAAgB,EAAE,QAAQ,CAAC,CAACD,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,OAAOrD,EAAE,OAAO,EAAE,QAAQqD,EAAE,WAAW,MAAM,MAAM,IAAI,sBAAsBA,EAAE,kDAAkDA,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAE,CAAC,IAAIV,EAAE,EAAE,IAAIG,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAE,CAAC,IAAIkB,GAAG,GAAG5B,EAAE,KAAK,cAAc,MAAMA,IAAI,OAAO,OAAOA,EAAE,UAAU,MAAM,IAAI,OAAO,OAAO,EAAE2B,GAAGC,GAAG,KAAKzB,EAAEyB,EAAE,MAAMlB,EAAEiB,GAAGxB,EAAEwB,GAAGjB,EAAEiB,EAAE,CAAC,OAAOxB,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAKU,CAAC,EAAE,OAAO,GAAG,CAAC,GAAG,CAACP,CAAC,EAAEunD,GAAG,CAAC,EAAE,OAAO,KAAK,MAAM,MAAMvnD,IAAI,IAAI,CAAC,EAAE,GAAGH,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,+BAA+B,CAAC,CAAC,WAAWU,EAAE,CAAC,OAAOA,EAAE,IAAIV,GAAG,CAAC,IAAI,EAAEG,EAAE,IAAIwB,GAAGxB,GAAG,EAAE,KAAK,cAAc,MAAM,IAAI,OAAO,OAAO,EAAE,WAAW,MAAMA,IAAI,OAAO,OAAOA,EAAEH,GAAG,OAAO2B,GAAG,KAAKA,EAAE,KAAK3B,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,aAAaU,EAAE,CAACA,EAAE,QAAQV,GAAG,CAAC,GAAG,CAAC,CAAC,EAAE0nD,GAAG1nD,CAAC,EAAE,GAAG,CAAC,KAAK,MAAM,MAAM,GAAG,MAAM,IAAI,MAAM,eAAeA,8BAA8B,CAAC,CAAC,CAAC,CAAC,EAAMouD,GAAG,KAAK,CAAC,YAAY1tD,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,CAAC,KAAK,sBAAsBU,EAAE,KAAK,aAAaV,CAAC,CAAC,aAAaU,EAAEV,EAAE,CAAC,KAAK,sBAAsBU,GAAGV,EAAE,OAAO,KAAK,aAAaA,EAAE,IAAIA,CAAC,CAAC,yBAAyBU,EAAE,CAAC,OAAO,KAAK,sBAAsBA,EAAE,CAAC,iBAAiBA,EAAE,CAAC,OAAO,KAAK,aAAaA,EAAE,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,cAAc,EAAE,OAAO,KAAK,aAAaA,GAAG,QAAQA,KAAK,KAAK,sBAAsB,KAAK,sBAAsBA,GAAG,QAAQ,EAAE,OAAO,KAAK,sBAAsBA,EAAE,CAAC,EAAM2tD,GAAG,oBAAoBC,GAAG,aAAazpE,GAAG,KAAK,CAAC,YAAY6b,EAAEV,EAAE,CAAC,EAAE,EAAEnM,GAAG,CAAC,KAAK,SAAS6M,EAAE,KAAK,YAAYV,EAAE,KAAK,QAAQ,MAAM,KAAK,GAAG,EAAEA,GAAG,OAAO,KAAK,YAAY,CAAC,GAAG,KAAK,gBAAgB,IAAIouD,EAAE,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,OAAO,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,SAAS,UAAU,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,WAAW,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,SAAS,MAAM,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,OAAO,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,SAAS,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,UAAU,mBAAmB,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,SAAS,CAAC,IAAI,2BAA2B,CAAC,OAAO,KAAK,oBAAoB,CAAC,eAAe,CAAC,IAAI1tD,EAAE,KAAK,SAAS,GAAGA,EAAE,MAAM,KAAK,KAAK,QAAQA,UAAU,KAAK,YAAY,aAAa,KAAK,KAAK,QAAQ,KAAK,GAAG,mBAAmBA,EAAE,KAAK,WAAW,MAAM,CAAC,IAAIV,EAAE,KAAK,GAAG,gBAAgBU,EAAE,KAAK,WAAW,EAAE,GAAGV,EAAE,SAAS,EAAEA,EAAE,KAAK,KAAK,GAAG,mBAAmBU,EAAE,KAAK,WAAW,CAAC,UAAUV,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwBA,EAAE,kCAAkC,CAACU,CAAC,IAAI,EAAE,KAAK,QAAQV,EAAE,EAAE,CAAC,CAAC,MAAM,CAAC,GAAG,KAAK,cAAc,EAAE,KAAK,QAAQ,MAAM,KAAK,MAAM,IAAI,MAAM,+GAA+G,EAAE,IAAIU,EAAE,KAAK,QAAQ,KAAK,EAAE,OAAOpC,EAAE,UAAUoC,CAAC,EAAEA,EAAE,KAAKV,GAAG,KAAK,SAASA,CAAC,CAAC,EAAE,KAAK,SAASU,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,UAAUA,EAAE,IAAIV,EAAE,KAAK,UAAU,cAAc,EAAE,KAAK,UAAU,UAAU,GAAG,KAAK,UAAU,qBAAqB,KAAK,CAAC,IAAI2B,EAAE,KAAK,UAAU,oBAAoBA,EAAE,WAAW,OAAO,EAAEA,EAAE,WAAWA,EAAE,sBAAsB,OAAO,KAAK,qBAAqBA,EAAE,qBAAqB,CAAC,KAAK,UAAU,EAAE,KAAK,QAAQ,GAAG3B,EAAE,SAAS,YAAYA,EAAE,SAAS,cAAc,IAAIG,EAAE,KAAK,GAAG,cAAc,KAAK,UAAU,WAAW,KAAK,UAAU,WAAW,EAAE,GAAG,KAAK,SAAS,IAAIguD,GAAG7D,GAAG,SAAS,eAAetqD,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,SAAS,UAAU,KAAK,6BAA6BG,CAAC,EAAE,KAAK,SAAS,gBAAgB,KAAK,gBAAgBO,EAAE,kBAAkB,MAAMA,EAAE,iBAAiB,MAAM,KAAK,CAAC,IAAIiB,EAAE2oD,GAAG,SAAS,eAAe5pD,EAAE,gBAAgB,EAAE,KAAK,YAAY,IAAIytD,GAAGxsD,CAAC,EAAE,KAAK,YAAY,UAAU,KAAK,SAAS,UAAU,KAAK,YAAY,gBAAgB,KAAK,gBAAgB,KAAK,qBAAqBjB,EAAE,oBAAoB,CAAC,MAAM,EAAE,CAAC,MAAM,KAAKA,EAAEV,EAAE,CAAC,GAAG,OAAOU,GAAG,SAAS,CAAC,IAAI,EAAE,KAAK,GAAG,gBAAgBA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0CA,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkCA,IAAI,EAAEA,EAAE,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,6GAA6G,EAAE,OAAOA,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAG,KAAK,qBAAqB,CAAC,IAAIV,EAAEU,aAAa1U,GAAG,CAAC0U,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE,OAAOV,EAAE,QAAQ,CAACG,EAAEwB,IAAI,EAAE,KAAK,qBAAqBA,IAAIxB,CAAC,EAAE,CAAC,CAAC,OAAOO,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQU,EAAE,KAAK,WAAW,EAAE,OAAO,KAAK,yBAAyB,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,aAAaU,EAAE,KAAK,WAAW,EAAE,OAAO,KAAK,yBAAyB,CAAC,CAAC,CAAC,gBAAgBA,EAAE,CAAC,IAAIV,EAAE,GAAG,EAAEU,aAAa1U,KAAK,CAAC,MAAM,QAAQ0U,CAAC,EAAE,CAAC,IAAIiB,GAAG3B,EAAE,KAAK,aAAa,MAAMA,IAAI,OAAO,OAAOA,EAAE,OAAO,GAAG2B,GAAG,KAAK,QAAQC,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,GAAGC,EAAE,YAAY,OAAOnB,EAAEkB,GAAG,KAAK,0BAA0BC,EAAE,YAAY,CAAC,OAAOnB,CAAC,CAACA,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAK,KAAK,yBAAyB,EAAE,OAAO,GAAGA,EAAE,OAAO,IAAI,KAAK,WAAW,OAAO,MAAM,IAAI,MAAM,oDAAoD,KAAK,WAAW,OAAO,gDAAgDA,EAAE,gCAAgC,EAAE,IAAIP,EAAE,EAAE,OAAO,KAAK,WAAW,OAAO,CAACwB,EAAEC,IAAI,CAAC,IAAIC,EAAEC,EAAE,EAAE,IAAIU,GAAG,GAAGV,GAAGD,EAAE,KAAK,aAAa,MAAMA,IAAI,OAAO,OAAOA,EAAE,UAAU,MAAMC,IAAI,OAAO,OAAOA,EAAEF,MAAM,MAAM,IAAI,OAAO,OAAO,EAAE,WAAW,OAAOY,GAAG,KAAKb,EAAEC,GAAG,KAAK,0BAA0BY,GAAGb,EAAEC,GAAGlB,EAAEP,KAAKwB,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,iBAAiBjB,EAAE,CAAC,OAAOA,EAAEA,GAAG,KAAK,YAAY,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,yBAAyB,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,QAAQ,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,MAAM,8BAA8B,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,aAAa,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,6BAA6BA,EAAE,CAAC,GAAG,KAAK,0BAA0B,CAAC,EAAE,KAAK,qBAAqB,CAAC,IAAIV,EAAE,KAAK,qBAAqB,QAAQ,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIwB,EAAE,EAAExB,GAAGyB,EAAE5B,EAAE2B,GAAG,KAAK,0BAA0BC,EAAE,YAAYlB,EAAEP,EAAE,CAAC,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,KAAK,wBAAwB,CAAC,EAAEU,EAAE,KAAK,gBAAgBA,CAAC,EAAEV,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS,QAAQU,EAAEV,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,MAAM,KAAK,6BAA6B,CAAC,EAAEU,EAAE,KAAK,gBAAgBA,CAAC,EAAEV,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,MAAM,KAAK,SAAS,aAAaU,EAAEV,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,SAAS,uBAAuB,CAAC,CAAC,4BAA4B,CAAC,KAAK,SAAS,2BAA2B,CAAC,CAAC,6BAA6BU,EAAE,CAAC,OAAO,OAAO,KAAKA,CAAC,EAAE,OAAO,CAACV,EAAE,KAAKA,EAAE,GAAG,CAACU,EAAE,EAAE,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,cAAc,KAAK,YAAY,QAAQ,EAAE,KAAK,2BAA2BlP,GAAG,KAAK,yBAAyB,GAAG,KAAK,gBAAgB,QAAQ,CAAC,CAAC,EAAE,eAAe4D,GAAGoL,EAAE,EAAE,CAAC,EAAEE,EAAEnM,GAAG,CAAC,GAAGiM,GAAG,KAAK,MAAM,IAAI,MAAM,wGAAwG,EAAE,GAAG,OAAO,EAAE,CAAC,GAAG,EAAE,WAAW,OAAOA,GAAG,WAAWA,EAAEyuD,GAAGzuD,CAAC,GAAG,IAAII,EAAE,IAAIrb,GAAGib,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAME,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASvL,GAAGmL,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,sHAAsH,EAAE,IAAI,EAAE,GAAGA,aAAa,MAAM,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAEL,EAAE,GAAG,CAACI,EAAE,MAAM,IAAI,MAAM,kDAAkD,EAAE,GAAG,CAACC,GAAG,EAAEA,aAAa,aAAa,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAG,EAAE,kBAAkBD,GAAG,MAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG,EAAE,oBAAoBA,GAAG,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAI,EAAErM,GAAG,eAAeqM,EAAE,eAAe,EAAE,EAAErM,GAAG,6BAA6BqM,EAAE,EAAEC,CAAC,EAAE,EAAEtM,GAAG,eAAe,CAAC,CAAC,SAAS,SAASiM,EAAE,EAAEA,UAAU,kBAAkBA,GAAG,gBAAgBA,GAAG,eAAeA,EAAE,EAAEjM,GAAG,eAAeiM,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,EAAE,IAAIE,EAAE,IAAInb,GAAG,CAAC,EAAE,OAAOmb,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASuuD,GAAGzuD,EAAE,CAAC,OAAOA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,KAAK,GAAGA,IAAIwuD,KAAKD,IAAI,CAAC,IAAIzvD,GAAG,QAAYxO,GAAG,CAAC,EAAE2P,GAAG3P,GAAG,CAAC,WAAW,IAAIo+D,GAAG,QAAQ,IAAIC,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAGjvD,GAAGgF,GAAG,CAAC,EAAMkqD,GAAGlvD,GAAGgF,GAAG,CAAC,EAAE,SAASmqD,GAAGzvD,EAAE,EAAE,CAAC,OAAO0vD,GAAG1vD,EAAE,CAAC,CAAC,CAAC,SAAS0vD,GAAG1vD,EAAE,EAAEE,EAAE,IAAI,IAAIE,EAAE,IAAI,IAAI,CAAC,GAAGJ,GAAG,KAAK,OAAO,KAAK,GAAG,OAAO,MAAM,YAAYA,aAAa,KAAK,OAAOA,EAAE,MAAM,EAAE,GAAGI,EAAE,IAAIJ,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,GAAGE,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,IAAIK,EAAE,EAAEL,CAAC,EAAE,GAAGK,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGsvD,GAAG3vD,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEI,EAAE,IAAIJ,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,GAAGgC,EAAE0tD,GAAG3tD,EAAE,EAAE7B,EAAEE,CAAC,EAAE,EAAE,GAAG4B,CAAC,CAAC,OAAO5B,EAAE,OAAOJ,CAAC,EAAEA,EAAE,YAAY,EAAE,UAAUA,EAAE,WAAW,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOE,EAAE,IAAIF,EAAEK,EAAE,KAAK,EAAEA,EAAE,KAAK,CAAC,SAASuvD,GAAG5vD,EAAE,EAAE6vD,GAAG,CAAC,OAAOC,GAAG9vD,EAAE,CAAC,CAAC,CAAC,SAAS8vD,GAAG9vD,EAAE,EAAEE,EAAE,IAAI,IAAI,CAAC,IAAIE,EAAEJ,EAAE,GAAG,GAAGE,EAAE,IAAIE,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,IAAIC,EAAE,EAAEL,CAAC,EAAE,GAAGK,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGsvD,GAAGvvD,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,IAAIE,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI2B,EAAE/B,EAAE,IAAIiC,GAAGA,EAAE,EAAE,EAAED,EAAE8tD,GAAG/tD,EAAE,EAAE7B,CAAC,EAAE,EAAE,GAAG8B,CAAC,CAAC,OAAO9B,EAAE,OAAOE,CAAC,EAAE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOC,EAAE,KAAK,CAAC,SAASwvD,GAAG7vD,EAAE,CAAC,OAAOA,IAAI,KAAK,KAAK2vD,GAAG3vD,EAAE,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,eAAe+vD,GAAG/vD,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAIwvD,GAAG1vD,EAAE,EAAEE,CAAC,EAAE,QAAQG,KAAK,MAAM,KAAKH,EAAE,KAAK,CAAC,EAAE,CAAC,IAAI2B,EAAE3B,EAAE,IAAIG,CAAC,EAAE,GAAG7B,EAAE,UAAUqD,CAAC,EAAE,CAAC,IAAIC,EAAE,MAAMD,EAAE3B,EAAE,IAAIG,EAAEyB,CAAC,CAAC,CAAC,CAAC,OAAO4tD,GAAG1vD,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASyvD,GAAG3vD,EAAE,CAAC,IAAI,EAAE,GAAG,GAAGpO,EAAE,EAAE,IAAI,YAAY,EAAE,EAAEoO,aAAa,gBAAgB,CAAC,GAAG,CAAC,cAAcE,CAAC,EAAE8F,GAAG,EAAE,EAAEhG,aAAaE,CAAC,CAAC,OAAOF,GAAG,MAAM,CAAC,YAAY,OAAOA,CAAC,IAAI,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa9T,KAAK,EAAE8T,aAAa,UAAU,CAAC,EAAE,CAAC,SAASgwD,GAAGhwD,EAAE,CAAC,OAAOA,GAAG,MAAMiwD,GAAGjwD,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAUA,aAAa9T,IAAIsS,EAAE,aAAawB,CAAC,CAAC,CAAC,SAASiwD,GAAGjwD,EAAE,CAAC,OAAOA,IAAI,MAAM,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,CAAC,SAASkwD,GAAGlwD,EAAE,CAAC,OAAOyvD,GAAGzvD,EAAEmwD,EAAE,CAAC,CAAC,SAASA,GAAGnwD,EAAE,CAAC,OAAOA,aAAa9T,GAAG,CAAC,MAAM8T,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE2vD,GAAG3vD,CAAC,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAIowD,GAAG,KAAK,CAAC,YAAYxvD,EAAE,CAAC,GAAG,KAAK,SAASA,EAAE,KAAK,MAAM,EAAE,KAAK,IAAI,EAAEA,GAAG,KAAK,MAAM,IAAI,WAAW,iDAAiD,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,2CAA2C,EAAE,KAAK,KAAK,IAAI,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAEA,CAAC,CAAC,KAAKA,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,KAAK,gBAAgB,OAAOA,EAAE,KAAK,eAAe,CAAC,IAAIA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,OAAO,KAAK,KAAKA,EAAE,KAAK,SAAS,CAAC,IAAIA,EAAEV,EAAE,CAAC,GAAGU,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,KAAK,KAAKA,EAAE,KAAK,UAAUV,CAAC,CAAC,QAAQ,CAAC,IAAIU,EAAE,KAAK,IAAI,KAAK,MAAM,OAAOA,EAAE,IAAIA,EAAE,KAAK,gBAAgBA,GAAGA,CAAC,CAAC,QAAQ,CAAC,OAAO,KAAK,OAAO,IAAI,KAAK,QAAQ,CAAC,SAAS,CAAC,OAAO,KAAK,OAAO,IAAI,CAAC,CAAC,KAAKA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,IAAI,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,QAAQV,KAAKU,EAAE,KAAK,KAAKV,CAAC,CAAC,CAAC,KAAK,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,EAAE,IAAIU,EAAE,KAAK,IAAI,KAAK,GAAG,EAAE,OAAO,KAAK,IAAI,KAAK,IAAI,MAAM,EAAEA,CAAC,CAAC,QAAQA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAE,KAAK,IAAI,KAAK,MAAMA,CAAC,CAAC,CAAC,OAAO,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIA,EAAE,KAAK,IAAI,KAAK,KAAK,EAAE,OAAO,KAAK,IAAI,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAEA,CAAC,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIV,EAAE,KAAK,KAAK,KAAK,MAAMU,CAAC,EAAE,EAAE,KAAK,IAAIV,CAAC,EAAE,OAAO,KAAK,IAAIA,EAAE,KAAK,IAAI,CAAC,EAAE,CAAC,CAAC,EAAMmwD,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAMC,GAAG,gBAAgB,CAAC,CAAC,QAAQ,CAAC,MAAM,EAAE,CAAC,KAAKzvD,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,KAAKA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQA,CAAC,CAAC,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,SAAS,EAAEV,EAAE,IAAI,MAAMU,CAAC,EAAE,EAAE,KAAK,OAAO,EAAE,QAAQP,EAAE,EAAEA,EAAE,EAAEA,IAAIH,EAAEG,GAAG,KAAK,IAAI,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,EAAE,KAAK,KAAKH,EAAE,KAAK,SAASU,EAAE,KAAK,gBAAgB,EAAE,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEyvD,GAAG,iBAAiB,GAAG,SAASC,GAAGtwD,EAAE,CAAC,OAAO,IAAIuwD,GAAGvwD,CAAC,CAAC,CAAC,SAASwwD,GAAGxwD,EAAE,CAAC,OAAO,IAAIywD,GAAGzwD,CAAC,CAAC,CAAC,SAAS0wD,GAAG1wD,EAAE,EAAE,CAAC,OAAO,IAAI2wD,GAAG3wD,EAAE,CAAC,CAAC,CAAC,SAAS4wD,GAAG5wD,EAAE,EAAE6wD,GAAG,KAAK,CAAC,OAAO,IAAIC,GAAG9wD,EAAE,CAAC,CAAC,CAAC,IAAI+wD,GAAG,KAAK,CAAC,MAAM,SAAS,CAAC,IAAInwD,EAAE,CAAC,EAAEV,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMU,EAAE,KAAKV,EAAE,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOU,CAAC,CAAC,MAAM,gBAAgB,CAAC,IAAIA,EAAE,KAAK,SAAS,GAAG,EAAEV,EAAE,CAAC,EAAE,EAAE,MAAMU,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,MAAMV,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAOV,CAAC,CAAC,MAAM,cAAc,CAAC,IAAIU,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMA,EAAE,MAAM,KAAK,KAAK,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,IAAIV,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEU,EAAEV,EAAE,KAAK,EAAE,KAAK,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEU,EAAEV,EAAE,KAAK,CAAC,CAAC,aAAaU,EAAE,CAAC,OAAO,IAAIowD,GAAG,KAAKpwD,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,IAAIqwD,GAAG,KAAKrwD,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,OAAO,IAAIswD,GAAG,KAAKtwD,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAIuwD,GAAG,KAAKvwD,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,IAAIuwD,GAAG,KAAKvwD,CAAC,EAAE,OAAO,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,IAAIwwD,GAAG,KAAKxwD,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,EAAE,aAAa,CAAC,CAAC,MAAM,cAAcA,EAAE,CAAC,OAAO,KAAK,eAAeA,CAAC,EAAE,aAAaV,GAAGA,IAAI,EAAE,CAAC,CAAC,cAAcU,EAAEV,EAAE,GAAG,CAAC,OAAO,IAAImxD,GAAG,KAAKzwD,EAAEV,CAAC,CAAC,CAAC,iBAAiBU,EAAEV,EAAE,GAAG,EAAE2vD,GAAG,CAAC,OAAO,KAAK,cAAcjvD,EAAEV,CAAC,EAAE,IAAI2B,GAAG+tD,GAAG/tD,EAAE,CAAC,CAAC,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,OAAO,IAAIywD,GAAGL,GAAG,CAAC,KAAK1vD,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAI0wD,GAAG,KAAK1wD,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAI2wD,GAAG,KAAK3wD,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAI4wD,GAAG,KAAK5wD,CAAC,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,OAAO,IAAIuxD,GAAG,KAAK7wD,EAAEV,CAAC,CAAC,CAAC,QAAQ,CAAC,OAAO,IAAIwxD,GAAG,IAAI,CAAC,CAAC,EAAEnB,GAAG,cAAcQ,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,EAAE,KAAK,KAAK,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,KAAK,MAAM,cAAc,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,MAAM,KAAK,MAAM,OAAO,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,KAAK,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,CAAC,MAAMsvD,GAAGtvD,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE6vD,GAAG,cAAcM,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,OAAOA,CAAC,CAAC,SAAS,CAAC,MAAM,eAAe,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,OAAO,KAAK,OAAO,CAAC,OAAOA,EAAN,CAAS,MAAMA,EAAE,QAAQ,mDAAmDA,EAAE,UAAUA,CAAC,CAAC,CAAC,EAAE8wD,GAAG,cAAcX,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE2wD,GAAG,cAAcR,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,SAASV,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,QAAQ,KAAK,UAAU,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAOA,EAAE5P,GAAG4P,EAAE,KAAK,CAAC,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE0wD,GAAG,cAAcP,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,SAASV,EAAE,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEmxD,GAAG,cAAcN,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,qBAAqB,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,oBAAoB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAKA,EAAE,OAAO,KAAK,WAAW,CAAC,IAAIV,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,sBAAsBU,EAAE,OAAO,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,EAAE,CAAC,MAAM,KAAK,KAAK,EAAE,EAAEA,EAAE,KAAKV,EAAE,KAAK,CAAC,CAAC,MAAM,CAAC,MAAMU,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEqwD,GAAG,cAAcF,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAE,OAAOA,EAAE5P,GAAG4P,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEswD,GAAG,cAAcH,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,UAAU,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEmvD,GAAG,cAAcD,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,QAAQV,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,mBAAmB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,GAAG,CAAC,OAAO,MAAM,KAAK,SAAS,KAAK,CAAC,OAAOU,EAAN,CAAS,GAAG,CAAC,KAAK,QAAQA,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,EAAEuwD,GAAG,cAAcJ,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE8vD,GAAG,cAAcZ,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,YAAY,IAAIV,GAAG,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,YAAY,OAAO,IAAI,GAAG,GAAG,CAAC,MAAM,KAAK,KAAK,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,MAAM,CAAC,MAAM,KAAK,YAAY,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEe,GAAG,cAAcO,EAAE,CAAC,YAAY/wD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,cAAc,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,GAAG,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,EAAE,CAAC,EAAE8uD,GAAG,cAAcI,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,KAAK,cAAcU,CAAC,CAAC,SAAS,CAAC,MAAM,wDAAwD,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,cAAc,KAAK,QAAQ,EAAE,KAAK,QAAQ,CAAC,MAAM,cAAcA,EAAE,CAAC,GAAG,MAAMA,EAAE,KAAK,UAAU,KAAK,CAAC,IAAI,EAAE,MAAM,KAAK,cAAc,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,EAAE,MAAM,KAAK,kBAAkB,OAAO,KAAK,SAAS,KAAK,SAAS,aAAa,KAAK,gBAAgB,EAAE,CAAC,IAAIV,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,OAAOA,EAAE,MAAM,KAAK,SAAS,KAAK,KAAK,cAAcU,CAAC,GAAGV,CAAC,CAAC,EAAE2wD,IAAI,SAAS7wD,EAAE,CAACA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAG6wD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,cAAcC,EAAE,CAAC,YAAYnwD,EAAEV,EAAE2wD,GAAG,KAAK,CAAC,MAAM,EAAE,KAAK,UAAUjwD,EAAE,KAAK,aAAaV,EAAE,KAAK,MAAM,EAAE,KAAK,eAAe,IAAI,CAAC,SAAS,CAAC,MAAM,kDAAkD,CAAC,MAAM,UAAUU,EAAE,CAAC,MAAMA,EAAE,IAAIV,EAAE,EAAE,EAAE,EAAE,SAASG,EAAEyB,EAAE,CAAC,OAAOA,aAAaivD,GAAG,CAAC,MAAMjvD,EAAE,KAAK,EAAE,KAAKE,IAAI9B,IAAI8B,EAAE,MAAM,IAAIA,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,IAAIH,EAAE,MAAMkuD,GAAG,KAAK,UAAU1vD,CAAC,EAAE,GAAGH,IAAI,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,GAAG,EAAE,EAAE,OAAO,KAAK,aAAa,CAAC,KAAK2wD,GAAG,KAAK,MAAM,IAAI,MAAM,qEAAqE,KAAK,QAAQ,EAAE,KAAKA,GAAG,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAKA,GAAG,QAAQ,QAAQ,CAAC,OAAO,KAAK,QAAQ,CAAC,MAAMhvD,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,UAAU,KAAK,cAAc,EAAE,KAAK,cAAc,CAAC,EAAE2vD,GAAG,cAAcT,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO,IAAIkwD,GAAGlwD,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,OAAO,OAAO,GAAG,CAAC,IAAIU,EAAE,KAAK,SAAS,KAAK,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,EAAE,KAAK,OAAO,MAAM,CAAC,CAAC,EAAE6wD,GAAG,cAAcD,EAAE,CAAC,YAAY5wD,EAAEV,EAAE,EAAE,CAAC,MAAMU,EAAEV,CAAC,EAAE,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,kBAAkB,GAAG,KAAK,OAAOsvD,GAAG,KAAK,GAAGhxD,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,UAAUoC,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,OAAO,EAAEA,CAAC,CAAC,CAAC,aAAa,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAI,KAAK,mBAAmB,KAAK,OAAO,EAAE,CAAC,KAAK,OAAO,QAAQ,GAAG,CAAC,IAAIA,EAAE,KAAK,YAAY,EAAEV,EAAE,MAAM,KAAK,OAAO,cAAcU,CAAC,EAAE,GAAGV,EAAE,KAAK,KAAK,kBAAkB,OAAQ,QAAO,KAAK,OAAO,EAAEA,CAAC,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,EAAMyuD,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK,IAAI,CAAC,MAAM/tD,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,KAAK1B,EAAE,OAAOoC,EAAE,EAAE,IAAI;AAAA,QAC96xDA,GAAG,EAAE,IAAIP,EAAE,OAAO,KAAK,OAAO,EAAE,GAAG,KAAK,MAAM,KAAKA,EAAE,KAAK,KAAKH,EAAEG,EAAE,KAAK,KAAK,KAAK,KAAKO,CAAC,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAKO,CAAC,EAAEgxD,GAAG,UAAU,MAAM,EAAE,SAAS,GAAG,iBAAiBhxD,EAAEV,EAAE2xD,EAAE,EAAExxD,CAAC,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,GAAGU,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK,MAAM,MAAMA,EAAE,MAAM,KAAK,EAAE,KAAK,KAAKA,EAAE,KAAK,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,YAAY,MAAMU,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,OAAOG,GAAG3C,EAAE,IAAIkD,EAAEP,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAE,CAAC,OAAO,MAAM,KAAK,SAAS,GAAG,aAAaA,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,IAAI,GAAGxC,EAAE,IAAIkD,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,SAASU,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,WAAW,2DAA2D,EAAE,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,SAASU,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMU,EAAE,EAAE,EAAE,KAAK,KAAKA,EAAEA,IAAI,EAAE,EAAE,EAAE,KAAK,MAAM,OAAOA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,KAAKgxD,GAAG,SAAS,CAAC,IAAIvxD,EAAEmwD,GAAG,UAAU,CAAC,MAAM,MAAMtwD,EAAE,SAAS,EAAE,KAAK,EAAE,EAAE,EAAE,OAAOwwD,GAAGrwD,EAAE,KAAKO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMU,GAAG,GAAG,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,OAAO,KAAK,KAAKA,GAAGA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,KAAKU,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQA,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGU,GAAG,MAAMA,EAAE,EAAE,MAAM,KAAK,MAAM,KAAK,IAAI,WAAW,0DAA0D,EAAE,IAAI,WAAW,mNAAmN,KAAK,gBAAgB,EAAE,IAAIP,EAAE,KAAKwB,EAAE0tD,GAAG,KAAKrvD,GAAG1B,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,OAAOozD,GAAG,SAAS,CAAC,IAAI9vD,EAAED,EAAE,MAAM,EAAE,OAAO,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAMxB,EAAE,SAAS,GAAG,QAAQO,EAAEkB,EAAE,SAAS,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAKlB,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,KAAKU,EAAE,EAAEA,EAAE,KAAK,MAAM,MAAM,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAK,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,KAAKU,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,QAAQ,CAAC,CAAC,MAAM,gBAAgB,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,eAAe,CAAC,CAAC,EAAE+tD,GAAG,gBAAgB,IAAI,SAASiD,GAAG5xD,EAAE,EAAE,KAAK,CAAC,OAAO,IAAI,cAAc2uD,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,KAAK,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO3uD,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+uD,GAAG/uD,EAAE,CAAC,OAAO4xD,GAAG,SAAStB,GAAGtwD,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,SAASsvD,GAAGtvD,EAAE,CAAC,GAAG,CAAC2vD,GAAG3vD,CAAC,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,EAAE,GAAG,KAAKF,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,UAAUF,aAAa,OAAO,QAAQE,KAAKF,EAAE,EAAE,GAAG,KAAKA,EAAEE,GAAG,KAAK,KAAK,IAAI,EAAEF,EAAEE,GAAG,IAAI,EAAE,OAAO0xD,GAAG,SAAS,CAAC,IAAI1xD,EAAE,MAAM6vD,GAAG/vD,EAAEI,GAAG,CAAC,GAAGA,aAAauuD,GAAG,MAAM,CAAC,MAAMvuD,EAAE,SAAS,EAAE,QAAQ,EAAE,EAAE,GAAGuvD,GAAGvvD,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,MAAM,IAAI,MAAM,2EAA2E,CAAC,CAAC,EAAE,OAAOwwD,GAAG1wD,EAAE2wD,GAAG,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC,SAASgB,GAAG7xD,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,IAAI,EAAEA,EAAE,GAAG,OAAOgwD,GAAG,CAAC,EAAE,CAAC,MAAM8B,GAAG9xD,CAAC,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,SAAS8xD,GAAG9xD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAOA,EAAE,aAAa9T,GAAGsQ,GAAGwD,CAAC,EAAE/C,GAAG+C,CAAC,CAAC,CAAC,IAAI6uD,GAAG,cAAcF,EAAE,CAAC,YAAY/tD,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO,MAAM,KAAK,MAAM,SAAS,GAAG,WAAW,EAAE,MAAM;AAAA,CACr1G,EAAE,IAAIP,IAAIA,EAAE,SAAS,IAAI,IAAIA,EAAEA,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,CAAC,CAAC,EAAM0xD,GAAG,IAAIC,GAAG,OAAO,KAAK,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,iBAAiB,EAAEC,GAAG,OAAO,cAAc,EAAE1D,GAAG,cAAcC,EAAE,CAAC,YAAY/tD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMU,EAAE,KAAK,UAAU,GAAG,KAAK,gBAAgB,KAAK,KAAK,qBAAqB,GAAG,KAAK,cAAc,KAAK,KAAK,sBAAsB,GAAG,KAAK,UAAU,IAAI,KAAK,gBAAgB,GAAG,KAAK,KAAK,IAAIiuD,GAAGjuD,CAAC,EAAEV,IAAIA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,YAAY,GAAG,KAAK,gBAAgBA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,sBAAsBA,EAAE,sBAAsBA,EAAE,iBAAiB1B,EAAE,OAAO0B,EAAE,WAAW,KAAK,IAAI,gEAAgE,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,KAAK,KAAK,UAAUA,EAAE,UAAUA,EAAE,UAAU,GAAG,CAAC,MAAM,aAAa,CAAC,OAAO,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,KAAK,sBAAsB,OAAO,KAAK,KAAK,aAAa,EAAE,KAAK,eAAe,CAAC,MAAM,gBAAgB,CAAC,IAAIU,EAAE,MAAM,KAAK,oBAAoB,EAAE,GAAG,CAAC,KAAK,iBAAiB,CAACA,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,KAAK,iBAAiBA,GAAGpC,EAAE,OAAOoC,EAAE,SAAS,KAAK,gBAAgB,OAAO,IAAI,uCAAuC,KAAK,gBAAgB,OAAO,SAAS,EAAE,kEAAkEA,EAAE,OAAO,SAAS,EAAE,IAAI,EAAE,KAAK,kBAAkB,KAAK,gBAAgBA,GAAG,IAAIV,EAAE,KAAK,gBAAgB,OAAO,CAACG,EAAEwB,KAAKxB,EAAEwB,GAAGxB,EAAEwB,GAAG,GAAG,EAAExB,GAAG,CAAC,CAAC,EAAE,EAAE,OAAO,KAAKH,CAAC,EAAE,OAAOG,GAAGH,EAAEG,GAAG,CAAC,EAAE,GAAG7B,EAAE,OAAO,EAAE,SAAS,EAAE,IAAI,iCAAiC,EAAE,SAAS,CAAC,EAAE,KAAK,eAAe,QAAQ6B,KAAK,OAAO,KAAK,KAAK,aAAa,EAAE,GAAG,KAAK,gBAAgB,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,YAAYA,EAAE,uEAAuE,KAAK,gBAAgB,SAAS,EAAE,IAAI,EAAE,KAAK,qBAAqB,EAAE,CAAC,MAAM,qBAAqB,CAAC,GAAG,KAAK,UAAU,CAAC,IAAI,EAAE,MAAM,MAAM,KAAK,KAAK,SAAS,GAAG,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,IAAI,MAAM,oCAAoC,EAAE,IAAID,EAAE,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,EAAE,CAAC,KAAM,QAAO,IAAI,CAAC,MAAM,UAAU,CAAC,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,IAAIQ,EAAE,MAAM,KAAK,KAAK,SAAS,EAAE,OAAO,KAAK,YAAYA,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE,IAAIV,GAAG,KAAK,gBAAgBA,CAAC,CAAC,CAAC,CAAC,gBAAgBU,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,CAAC,EAAE,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,KAAK,gBAAgB,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,gBAAgBD,GAAGE,EAAE,KAAK,cAAc,KAAK,cAAcD,GAAG,KAAK,GAAG,EAAE,KAAK,uBAAuB,CAACC,GAAG,CAAC,IAAIC,EAAE9B,EAAE2B,GAAG,EAAE,KAAK,GAAGG,IAAI,GAAG,GAAGD,GAAGA,EAAE,UAAU,OAAO,EAAEA,EAAE,YAAY,CAAC,GAAGA,IAAIA,EAAE,UAAUA,EAAE,SAAS,MAAM,IAAI,MAAM,mBAAmBD,4BAA4BlB,GAAG,EAAE,EAAE,MAAM,KAAK,CAAC,IAAI8B,EAAE,OAAOV,CAAC,EAAE,GAAG,MAAMU,CAAC,EAAEX,GAAGA,EAAE,QAAQ,OAAO,EAAE,KAAK,WAAWC,CAAC,EAAE,EAAEA,UAAU,CAACD,GAAG,CAACA,EAAE,MAAM,EAAEW,MAAO,QAAOX,EAAE,MAAM,CAAC,IAAI,UAAU,EAAEW,EAAE,MAAM,IAAI,QAAQ,EAAE,KAAK,MAAMA,CAAC,EAAE,MAAM,IAAI,OAAO,EAAE,KAAK,WAAWV,CAAC,EAAE,MAAM,QAAQ,EAAEU,CAAC,CAAC,CAACX,GAAGA,EAAE,QAAQ1B,EAAEyB,GAAG,EAAE,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAO,OAAO,KAAKzB,CAAC,EAAE,SAAS,EAAE,EAAE,CAAC,GAAG,EAAE,GAAGA,CAAC,CAAC,CAAC,WAAWO,EAAE,CAAC,OAAOA,IAAI,KAAKA,EAAE,YAAY,IAAI,OAAO,EAAE,CAAC,CAAC,SAASA,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEG,EAAE,EAAEwB,EAAEjB,EAAE,OAAOkB,EAAEkwD,GAAG,QAAQjwD,EAAE,EAAEA,EAAEF,EAAEE,IAAI,OAAOD,EAAE,CAAC,KAAKkwD,GAAG,OAAOpxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAG1xD,EAAE0B,EAAE,EAAED,EAAEowD,GAAG,MAAM,KAAK,KAAK,UAAU,GAAG7xD,EAAE0B,EAAE,EAAE,KAAK,YAAY,KAAK,KAAK,gBAAgB,MAAM,EAAE,KAAK,EAAE,EAAED,EAAEkwD,GAAG,MAAM,QAAQlwD,EAAEmwD,GAAG5xD,EAAE0B,EAAE,KAAK,CAAC,MAAM,KAAKkwD,GAAG,OAAOrxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,CAAC,CAAC,EAAED,EAAEkwD,GAAG3xD,EAAE0B,EAAE,EAAE,MAAM,QAAQ,CAAC,MAAM,KAAKmwD,GAAG,OAAOtxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAGjwD,EAAEqwD,GAAG,MAAM,QAAQ,CAAC,MAAM,KAAKA,GAAG,OAAOvxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,EAAE,CAAC,CAAC,EAAED,EAAEkwD,GAAG3xD,EAAE0B,EAAE,EAAE,MAAM,KAAKgwD,GAAGjwD,EAAEowD,GAAG,MAAM,QAAQpwD,EAAEswD,GAAG,KAAK,CAAC,MAAM,KAAKA,GAAG,OAAOxxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAGjwD,EAAEowD,GAAG,MAAM,QAAQ,CAAC,MAAM,QAAQ,CAAC,GAAGpwD,IAAIqwD,GAAG,EAAE,KAAKvxD,EAAE,UAAUP,EAAEwB,EAAE,CAAC,CAAC,EAAE,EAAE,KAAKjB,EAAE,UAAUP,CAAC,CAAC,EAAEH,GAAG,EAAE,SAAS,KAAK,gBAAgB,OAAO,MAAM,IAAI,MAAM,wCAAwC,KAAK,gBAAgB,qCAAqC,GAAG,EAAE,OAAO,CAAC,CAAC,EAAMmyD,GAAG,cAActB,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQA,EAAE,SAAS,KAAK,IAAIV,EAAE,KAAK,KAAK,KAAK,OAAO,EAAE,GAAG,KAAK,QAAQ,GAAGA,EAAE,GAAGA,EAAE,IAAI,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,KAAK,SAAS,EAAE,GAAG,KAAK,UAAUU,EAAE,yBAAyB,GAAG,KAAK,aAAaA,EAAE,aAAa,KAAK,qBAAqBA,EAAE,sBAAsB,KAAK,QAAQ,KAAK,sBAAsBA,EAAE,sBAAsB,KAAK,sBAAsBA,EAAE,uBAAuB,EAAE,KAAK,mBAAmBA,EAAE,qBAAqB,GAAG,KAAK,gBAAgBA,EAAE,kBAAkB,GAAG,CAAC,KAAK,oBAAoB,CAAC,KAAK,gBAAgB,MAAM,IAAI,MAAM,sGAAsG,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,CAAC,aAAa,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIsO,EAAE,IAAImyD,GAAGzxD,CAAC,EAAE,OAAO,MAAMV,EAAE,MAAM,EAAEA,CAAC,CAAC,MAAM,OAAO,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,KAAK,uBAAuB,KAAK,GAAG,KAAK,sBAAsB,MAAM,EAAE,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,iDAAiD,EAAE,SAAS,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAIU,EAAE,OAAO,cAAc,OAAO,mBAAmB,GAAG,KAAK,aAAa,IAAIA,EAAE,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,aAAa,mBAAmB,KAAK,aAAa,aAAa,KAAK,aAAa,MAAM,IAAI,MAAM,wCAAwC,KAAK,yBAAyB,KAAK,aAAa,YAAY,EAAE,IAAIV,EAAE,KAAK,aAAa,wBAAwB,KAAK,MAAM,EAAE,KAAK,SAAS,KAAK,aAAa,eAAe,EAAE,KAAK,SAAS,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,sBAAsB,KAAK,sBAAsBA,EAAE,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIU,EAAEV,EAAE,EAAE,MAAM,KAAK,aAAa,EAAE,GAAG,KAAK,mBAAmB,CAAC,IAAIG,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEO,EAAE,KAAK,4BAA4BP,EAAE,CAAC,KAAK,UAAU,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,CAAC,IAAIA,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEH,EAAE,KAAK,4BAA4BG,EAAE,CAAC,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,YAAYO,EAAE,SAASV,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,cAAc,CAAC,IAAIU,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO,IAAI,QAAQG,GAAG,CAAC,IAAIwB,EAAE,YAAY,IAAI,CAAC,KAAK,qBAAqB,KAAK,SAAS,sBAAsB,KAAK,QAAQ,EAAE,KAAK,SAAS,KAAK,MAAMxB,EAAE,CAAC,cAAcO,EAAE,cAAcV,CAAC,CAAC,EAAEU,EAAE,KAAK,KAAK,SAAS,MAAM,EAAE,KAAK,oBAAoB,CAAC,GAAG,KAAK,kBAAkB,KAAK,SAAS,uBAAuB,KAAK,QAAQ,EAAEV,EAAE,KAAK,KAAK,SAAS,MAAM,CAAC,GAAG,EAAE,IAAI,KAAK,YAAY,cAAc2B,CAAC,EAAExB,EAAE,CAAC,cAAcO,EAAE,cAAcV,CAAC,CAAC,EAAE,EAAE,KAAK,QAAQ,KAAK,aAAa,GAAG,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,WAAW,KAAK,SAAS,GAAG,KAAK,SAAS,WAAW,EAAE,KAAK,aAAa,MAAM,EAAE,KAAK,QAAQ,MAAM,KAAK,OAAO,UAAU,EAAE,OAAO,GAAG,KAAK,OAAO,UAAU,EAAE,GAAG,KAAK,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,YAAY,CAAC,aAAaU,EAAE,CAAC,IAAIV,EAAEU,EAAE,GAAG,OAAO,EAAE,IAAI,aAAaA,EAAE,OAAOV,CAAC,EAAE,OAAOU,EAAE,QAAQ,CAACP,EAAEwB,IAAI,EAAE,IAAIxB,EAAEwB,EAAE3B,CAAC,CAAC,EAAE,CAAC,CAAC,4BAA4BU,EAAEV,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa1B,EAAE,cAAc0B,CAAC,CAAC,EAAE,OAAO,EAAE,IAAIU,EAAE,EAAE,OAAOA,EAAE,MAAM,EAAE3D,GAAG,EAAEiD,CAAC,CAAC,CAAC,EAAMoyD,GAAG,cAAcvB,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,mBAAmBU,EAAE,KAAK,aAAaV,EAAE,KAAK,SAAS,GAAG,KAAK,OAAO,GAAG,KAAK,aAAa,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,SAAS,CAAC,KAAK,aAAa,aAAa,KAAK,aAAa,WAAW,EAAE,KAAK,WAAWhD,GAAG,CAAC,CAAC,EAAE,OAAO,EAAE,KAAK,aAAa,WAAW,CAAC,IAAI,EAAE,KAAK,aAAa,YAAY,EAAE,KAAK,mBAAmB,MAAMmD,EAAE,KAAK,aAAa,aAAa,EAAE,KAAK,mBAAmB,OAAOwB,GAAG,EAAE,GAAG,EAAEC,GAAG,EAAEzB,GAAG,EAAE0B,EAAEF,EAAE,EAAEG,EAAE3B,EAAEyB,EAAE,KAAK,QAAQ3E,GAAG,CAAC2E,EAAED,EAAEG,EAAED,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAK,QAAQ5E,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,QAAQ,CAAC,aAAa,OAAOyD,EAAEV,EAAE,CAAC,EAAE,CAAC,GAAG,CAACtO,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,GAAG,CAACgP,EAAE,CAAC,GAAGA,EAAE,SAAS,cAAc,OAAO,EAAE,CAACV,EAAE,aAAa,CAACA,EAAE,aAAa,MAAM,IAAI,MAAM,wGAAwG,EAAEU,EAAE,MAAMV,EAAE,YAAYU,EAAE,OAAOV,EAAE,YAAY,CAAC,IAAI,EAAE,IAAIoyD,GAAG1xD,EAAEV,CAAC,EAAE,OAAO,MAAM,EAAE,MAAM,EAAE,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,aAAa,YAAY1B,EAAE,OAAO,KAAK,aAAa,aAAa,QAAQ,KAAK,aAAa,aAAa,cAAc,IAAI,+BAA+B,KAAK,aAAa,oDAAoD,EAAE,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,CAAC,SAAS,KAAK,aAAa,SAAS,WAAW,KAAK,aAAa,WAAW,KAAK,aAAa,WAAW,OAAO,MAAM,KAAK,mBAAmB,MAAM,OAAO,KAAK,mBAAmB,MAAM,CAAC,CAAC,CAAC,OAAOoC,EAAN,CAAS,MAAMA,EAAE,QAAQ,iDAAiDA,EAAE,UAAUA,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,qCAAqC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,KAAK,MAAM,OAAOA,EAAN,CAAS,QAAQ,IAAIA,CAAC,EAAE,KAAK,mBAAmB,IAAI,OAAO,IAAI,gBAAgB,KAAK,MAAM,CAAC,CAAC,OAAO,KAAK,mBAAmB,KAAK,EAAE,KAAK,SAAS,GAAG,IAAI,QAAQA,GAAG,CAAC,KAAK,mBAAmB,iBAAiB,IAAI,CAACA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,GAAG,CAACA,EAAEhS,GAAG,WAAW,KAAK,kBAAkB,CAAC,OAAOsR,EAAN,CAAS,MAAM,IAAI,MAAM,4CAA4C,KAAK,UAAUA,CAAC,GAAG,CAAC,CAAC,GAAG,KAAK,OAAO,GAAG,CAAC,MAAM,CAAC,MAAM,KAAK,mBAAmBU,CAAC,EAAE,KAAK,EAAE,CAAC,OAAOV,EAAN,CAAS,MAAM,IAAI,MAAM,oCAAoCA,EAAE,SAAS,CAAC,QAAC,CAAQU,EAAE,QAAQ,CAAC,KAAM,OAAM,CAAC,MAAMA,EAAE,KAAK,EAAE,CAAC,CAAC,cAAc,CAAC,MAAM,CAAC,EAAE,KAAK,aAAa,aAAa,KAAK,aAAa,eAAe,KAAK,mBAAmB,QAAQ,KAAK,aAAa,aAAa,KAAK,mBAAmB,SAAS,KAAK,aAAa,cAAc,CAAC,mBAAmBA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEjO,GAAGlD,GAAE6R,EAAE,SAAS,EAAE,CAAC,EAAE,EAAE,EAAEjN,GAAG,cAAcuM,EAAE,KAAK,QAAQ,KAAK,WAAW,KAAK,SAAS,UAAU,EAAE,IAAIG,EAAE,EAAE,MAAM,OAAO3G,EAAE,EAAE2G,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,OAAO,UAAU,EAAE,QAAQ,GAAG,EAAE,KAAK,CAAC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,IAAI,OAAO,EAAN,CAAS,QAAQ,IAAI,CAAC,EAAE,KAAK,mBAAmB,IAAI,IAAI,CAAC,KAAK,SAAS,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,EAAMkyD,GAAG,KAAK,CAAC,EAAMC,GAAG,cAAczB,EAAE,CAAC,MAAMnwD,EAAE,CAAC,OAAO,IAAI6xD,GAAG,KAAK7xD,CAAC,CAAC,CAAC,EAAE6xD,GAAG,cAAcD,EAAE,CAAC,YAAY5xD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,KAAK,IAAI8xD,GAAG9xD,EAAEV,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEwyD,GAAG,cAAcf,EAAE,CAAC,YAAY/wD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,UAAU,EAAE,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,KAAK,aAAa,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,YAAY,GAAG,IAAI,KAAK,YAAY,KAAK,KAAK,SAAS,EAAE,KAAK,UAAU,GAAG,IAAI,IAAIV,EAAEU,EAAE,MAAM,MAAM,KAAK,SAAS,EAAEV,EAAE,GAAG,KAAK,UAAUA,EAAE,GAAG,QAAQ,KAAKA,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,OAAO,KAAK,UAAUA,EAAEA,EAAE,OAAO,GAAG,EAAE,CAAC,EAAMyyD,GAAG,cAAc5B,EAAE,CAAC,YAAY,CAAC,OAAO,IAAI6B,GAAG,IAAI,CAAC,CAAC,EAAEA,GAAG,cAAcJ,EAAE,CAAC,YAAY5xD,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,KAAK,IAAIiyD,GAAGjyD,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEiyD,GAAG,cAAclB,EAAE,CAAC,YAAY/wD,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,SAASA,EAAEhP,EAAE,EAAE,IAAI,YAAY,EAAE,KAAK,QAAQ,IAAI,YAAY,OAAO,MAAM,CAAC,GAAG,CAAC,cAAcsO,CAAC,EAAE8F,GAAG,EAAE,KAAK,QAAQ,IAAI9F,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAEV,EAAE,GAAGU,EAAE,KAAK,MAAM,GAAGV,EAAEU,EAAE,MAAM,IAAI,EAAE,OAAOhP,EAAE,EAAE,IAAI,YAAY,EAAE,EAAE,KAAK,QAAQ,OAAOsO,EAAE,CAAC,OAAO,EAAE,CAAC,EAAE,EAAE,KAAK,QAAQ,MAAM,OAAO,KAAKA,EAAE,MAAM,CAAC,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,EAAE,CAAC,EAAM4yD,GAAG,cAAcH,EAAE,CAAC,YAAY/xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKU,EAAE,KAAK,QAAQV,EAAE1B,EAAE,OAAOoC,aAAa,aAAahP,EAAE,EAAE,IAAI,YAAY,EAAEgP,aAAa,MAAMA,aAAa,KAAK,IAAI,IAAI,sEAAsE,EAAE,KAAK,OAAOV,EAAE,QAAQ,EAAE,KAAK,UAAUA,EAAE,WAAW,KAAK,IAAI,CAAC,SAAS,CAAC,MAAM,cAAc,KAAK,MAAM,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,gBAAgB,WAAW,KAAK,KAAK,WAAW,KAAK,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,CAAC,MAAM,MAAM,IAAI,QAAQ,CAAC,EAAEE,IAAI,CAAC,IAAIC,EAAE,KAAK,OAAO,KAAK,UAAU,GAAG,KAAK,gBAAgB,WAAW,EAAE,IAAI,WAAW,KAAK,KAAK,MAAM,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOE,GAAG,CAAC,IAAIC,EAAEH,EAAE,OAAO,GAAGG,aAAa,cAAcA,EAAE,IAAI,WAAWA,CAAC,GAAG,EAAEA,aAAa,YAAY,OAAO5B,EAAE,IAAI,UAAU,mCAAmC,CAAC,EAAE,EAAE4B,CAAC,CAAC,EAAEH,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM,SAAS,CAAC,EAAEyB,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM2B,EAAE,IAAI,CAAC,EAAE,IAAID,EAAE,KAAK,KAAK,MAAM,KAAK,OAAOzB,CAAC,EAAEwB,EAAE,kBAAkBC,CAAC,CAAC,CAAC,KAAK,OAAOzB,CAAC,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE,eAAe0yD,GAAG/yD,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAE,OAAOL,GAAG,SAASI,EAAEJ,GAAGI,EAAEJ,EAAE,IAAIK,EAAE2yD,GAAGhzD,CAAC,GAAG,IAAI,EAAE,MAAME,GAAG1B,EAAE,OAAO4B,EAAEC,CAAC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,IAAI,WAAW,MAAM,EAAE,YAAY,CAAC,EAAE,OAAO,IAAIyyD,GAAG,EAAE,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,EAAE,UAAU,CAAC,CAAC,IAAIE,GAAGhzD,IAAI,CAAC,OAAOA,EAAE,OAAO,QAAQA,EAAE,QAAQ,KAAKA,EAAE,KAAK,KAAKA,EAAE,KAAK,YAAYA,EAAE,YAAY,MAAMA,EAAE,MAAM,SAASA,EAAE,SAAS,SAASA,EAAE,SAAS,UAAUA,EAAE,SAAS,GAAG,SAASizD,GAAGjzD,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,EAAE,MAAM,EAAE,CAAC,IAAI,SAAS,CAAC,IAAI4uD,GAAG,cAAc2D,EAAE,CAAC,YAAY3xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMU,EAAE,KAAK,QAAQV,CAAC,CAAC,MAAM,UAAU,CAAC,GAAG+yD,GAAG,KAAK,KAAK,GAAGrhE,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC,IAAIgP,EAAEqF,GAAG,EAAE,KAAK,MAAMrF,EAAE,aAAa,KAAK,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,IAAIkyD,GAAG,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,EAAMhE,GAAG,cAAcyD,EAAE,CAAC,YAAY3xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAIU,EAAE,KAAK,YAAYV,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO+yD,GAAG,KAAK,GAAG,EAAE,IAAIrE,GAAG,KAAK,IAAI,KAAK,WAAW,EAAE,SAAS,EAAEmE,GAAG,KAAK,IAAI,KAAK,WAAW,CAAC,CAAC,EAAE,SAAS/D,GAAGhvD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO,IAAI0uD,GAAG,IAAII,GAAG9uD,CAAC,EAAE,CAAC,CAAC,CAAC,SAASivD,GAAGjvD,EAAE,CAAC,IAAI,EAAEwwD,GAAGxwD,CAAC,EAAE,OAAO4xD,GAAG,SAAS,CAAC,CAAC,CAAC,SAAS1C,GAAGlvD,EAAE,CAAC,OAAO4xD,GAAG,SAAS,CAAC,IAAI,EAAE,MAAM5xD,EAAE,EAAE,OAAOwwD,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,eAAenB,GAAGrvD,EAAE,EAAE,CAAC,OAAOsyD,GAAG,OAAOtyD,EAAE,CAAC,CAAC,CAAC,eAAemvD,GAAGnvD,EAAE,CAAC,OAAOqyD,GAAG,OAAOryD,CAAC,CAAC,CAAC,IAAIovD,GAAG,QAAQ,SAAS8D,GAAGlzD,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,YAAY,IAAI,GAAG,0DAA0D,CAAC,CAAC,CAAC,CAAC,IAAIizD,GAAG9+D,GAAG,UAAU++D,GAAG,cAAc1tE,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,UAAU,GAAG,KAAK,SAAS,GAAG,KAAK,KAAK,IAAI5C,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOyhE,GAAG,YAAY,CAAC,MAAMxyD,EAAEV,EAAE,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,GAAGtO,EAAE,EAAE,IAAI,SAAS,GAAG5D,EAAE,KAAK;AAAA;AAAA;AAAA,6BAGv6b,GAAG,IAAIqS,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,KAAK,IAAIA,EAAE,CAAC,OAAOO,EAAE,MAAM,EAAE,SAAS,CAAC,CAAC,EAAEP,CAAC,CAAC,eAAeO,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAGH,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG1B,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAIqD,EAAE,EAAE,IAAIC,GAAGtD,EAAE,aAAasD,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEV,CAAC,CAAC,MAAMG,EAAE,KAAK,MAAM,EAAEO,EAAEV,CAAC,EAAE,MAAM,CAAC,OAAOG,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,SAASU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,OAAOU,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,CAAC,IAAIV,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,KAAK,IAAIjB,EAAE,CAAC,OAAOV,EAAE,MAAMG,EAAE,SAASwB,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,KAAK,WAAW,CAAC,CAAC,MAAM,KAAKjB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,GAAG,CAAC,MAAMV,EAAE,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAE,GAAGV,IAAI,YAAY,CAAC,IAAIG,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAEwB,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAE,OAAO7T,EAAE,uBAAuBqS,EAAEwB,CAAC,CAAC,CAAC,OAAOrD,EAAE,mCAAmC,KAAK,KAAK,IAAIoC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEV,EAAE,IAAIG,GAAG7B,EAAE,aAAa6B,CAAC,CAAC,EAAE,OAAOxR,GAAG+R,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAO/R,GAAG+R,EAAE,MAAMA,EAAE,MAAMV,CAAC,CAAC,CAAC,WAAWU,EAAEV,EAAE,EAAE,CAAC,OAAOvO,GAAG,EAAE,yBAAyB,KAAK,eAAeuO,EAAE,EAAEU,CAAC,EAAE,IAAI,CAAC,CAAC,YAAYA,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,KAAK,IAAIU,CAAC,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,WAAW,CAACV,GAAG,KAAK,KAAK,IAAIU,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,GAAG,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,8BAA8BA,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,IAAIV,EAAE1B,EAAE,IAAI,EAAE,OAAOoC,EAAE,EAAE,CAAC,SAASpC,EAAE,IAAI,EAAE0B,CAAC,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,QAAQ,CAAC,oHAAoH,CAAC,CAAC,CAAC,MAAMU,EAAE,CAACsyD,GAAG,CAACtyD,CAAC,EAAE,OAAO,EAAE,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,OAAOuyD,GAAGvyD,EAAE,MAAMV,CAAC,CAAC,CAAC,SAAS,CAAC,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEkzD,GAAG,WAAW,EAAE,IAAIC,GAAG,CAAC,EAAEpzD,GAAGozD,GAAG,CAAC,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,UAAU,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,SAAS,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,cAAc,IAAIC,GAAG,WAAW,IAAIC,EAAE,CAAC,EAAE,SAASf,GAAGt1D,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,EAAEA,GAAG,KAAK,IAAIF,EAAEE,EAAE,EAAE,OAAO,CAAC,CAAC,IAAIo2D,GAAGt2D,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQkzD,GAAG,EAAE,KAAK,EAAE,IAAI9yD,EAAE,IAAI,aAAa5B,EAAE,cAAc,EAAE,KAAK,CAAC,EAAE6B,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,OAAOE,EAAEk1D,GAAGj1D,CAAC,EAAEH,EAAE,WAAWE,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEm2D,GAAG,CAAC,WAAWz2E,GAAG,YAAY,MAAM,WAAWw2E,EAAE,EAAE,SAASE,GAAGx2D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,EAAEC,EAAE,IAAI,CAAC,IAAI,EAAErS,EAAE,2BAA2B,EAAEkS,CAAC,EAAE6B,EAAE,EAAE,OAAOC,EAAExD,EAAE,eAAe,CAAC,EAAEyD,EAAEzD,EAAE,cAAc,CAAC,EAAEkE,EAAElE,EAAE,uBAAuB,EAAEyD,CAAC,EAAEU,EAAE,EAAE,OAAOC,EAAE1C,EAAE,OAAO2C,EAAErE,EAAE,eAAe,CAAC,EAAEsE,EAAEtE,EAAE,eAAe0B,CAAC,EAAE8D,EAAEhW,EAAE,iBAAiB,EAAE,CAAC,EAAE,EAAEA,EAAE,iBAAiBkS,EAAE,CAAC,EAAE,GAAG8D,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQsD,EAAE,EAAEA,EAAE5E,EAAE,OAAO,EAAE4E,EAAE5E,EAAE4E,GAAGtH,EAAEI,EAAEkH,EAAElH,EAAE,QAAQC,EAAEiH,EAAEjH,EAAE,OAAO,MAAO,SAAQiH,EAAE,EAAEA,EAAE5E,EAAE,OAAO,EAAE4E,EAAE,CAAC,IAAI,EAAE9I,EAAE,WAAW8I,EAAEvF,EAAEC,CAAC,EAAEyC,EAAE,EAAE,MAAM,CAAC9B,CAAC,EAAEqB,EAAE,QAAQa,GAAGJ,EAAEI,GAAG,CAAC,EAAE,IAAIH,EAAElG,EAAE,WAAWiG,EAAE9B,EAAEE,CAAC,EAAE8B,EAAE,EAAE,MAAM,CAAC/B,CAAC,EAAE,EAAE,QAAQiC,GAAGF,EAAEE,GAAG,CAAC,EAAE,IAAID,EAAEpG,EAAE,WAAWmG,EAAE/B,EAAEE,CAAC,EAAEJ,EAAE4E,GAAGtH,EAAEI,EAAEsE,GAAGrE,EAAEuE,EAAE,CAAC,CAAC,MAAM,CAAClC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+zD,GAAGz2D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE7B,EAAE,eAAeE,EAAE,MAAM,WAAW,EAAE4B,EAAE9B,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOC,EAAE,mBAAmB,CAAC,KAAK9B,EAAE,eAAeE,EAAE,MAAM,UAAU,CAAC,EAAE,KAAKF,EAAE,eAAeG,EAAE,MAAM,UAAU,CAAC,CAAC,EAAE0B,CAAC,CAAC,IAAI20D,GAAG,CAAC,WAAW30E,GAAG,YAAY,MAAM,WAAW00E,EAAE,EAAE,SAASE,GAAG32D,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGA,IAAI,YAAY,CAAC,IAAIG,EAAEs2D,GAAG32D,EAAE,EAAE,SAAS,EAAE,EAAE22D,GAAG32D,EAAE,EAAE,SAAS,EAAE,OAAOy2D,GAAG,CAAC,OAAO,CAAC,KAAKp2D,EAAE,KAAK,CAAC,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAII,EAAE5B,EAAE,oBAAoBA,EAAE,cAAc,CAAC,EAAE0B,CAAC,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASw2D,GAAG52D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,OAAOF,EAAE,OAAOE,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIy2D,GAAG,CAAC,WAAWzxE,GAAG,YAAY,MAAM,WAAWwxE,EAAE,EAAE,SAASE,GAAG92D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,OAAOH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI02D,GAAG,CAAC,WAAW7tE,GAAG,YAAY,MAAM,WAAW4tE,EAAE,EAAE,SAASrD,GAAGzzD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGA,IAAI,QAAQ,CAAC,IAAIC,EAAE,WAAW,KAAKL,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQK,CAAC,CAAC,CAAC,GAAGD,IAAI,OAAO,CAAC,IAAIC,EAAE7B,EAAE,aAAa,CAAC,CAAC,EAAE0B,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEs2D,GAAG,CAACz0D,EAAEC,IAAID,IAAIC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEhC,EAAEK,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiCH,QAAQE,GAAG,CAAC,CAAC,SAAS42D,GAAGh3D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAOu2D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIwC,EAAEi0D,GAAGz2D,EAAEG,EAAE,MAAMA,EAAE,KAAK,EAAEsC,EAAEq0D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE0C,EAAE6zD,GAAG,CAAC,OAAO,CAAC,KAAK9zD,EAAE,KAAKD,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEC,CAAC,CAAC,GAAGvC,EAAE,QAAQ,YAAY,CAAC,IAAIqC,EAAEo0D,GAAG,CAAC,OAAO,CAAC,MAAMz2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAEyC,EAAEq0D,GAAG,CAAC,OAAO,CAAC,EAAEt0D,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BwC,CAAC,EAAEC,CAAC,CAAC,GAAG,CAACnE,EAAE,gBAAgB6B,EAAE,MAAM,CAAC,EAAE,CAAC,IAAIqC,EAAEk0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,MAAM,CAAC,OAAOwC,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEwxD,GAAG,EAAEpzD,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,eAAe6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIg1D,GAAG,CAAC,WAAWr1E,GAAG,YAAY,MAAM,WAAWo1E,EAAE,EAAE,SAASE,GAAGl3D,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,CAAC,OAAOG,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAEkxD,GAAG,CAAC,EAAEnxD,CAAC,EAAE/B,CAAC,EAAE,IAAIiC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAE,EAAE,QAAQ,SAAS3U,EAAE,uBAAuBiU,CAAC,EAAEA,EAAEW,EAAE,EAAE,QAAQ,SAAS5U,EAAE,uBAAuB0U,CAAC,EAAEA,EAAEG,EAAEzC,GAAG,EAAE,MAAM,CAAC0C,EAAEkB,CAAC,EAAE,EAAE,EAAE,MAAMjC,EAAE,MAAMY,EAAEC,EAAEC,CAAC,EAAE,OAAOb,EAAE,eAAegC,EAAEnB,EAAEC,CAAC,CAAC,EAAE,CAAC,CAAC,OAAOzC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAE,GAAG,EAAE,QAAQ,aAAaD,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE+0D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQh1D,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAEU,EAAEV,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAEU,EAAED,EAAE,mBAAmB,KAAKE,EAAEF,EAAE,mBAAmB,KAAKG,EAAEb,EAAE,KAAK,IAAIW,EAAE,MAAM,EAAE,OAAOG,EAAEd,EAAE,KAAK,IAAIY,EAAE,MAAM,EAAE,OAAOoB,EAAEgzD,GAAG,CAAC,OAAO,CAAC,EAAEj1D,CAAC,EAAE,QAAQC,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAE,EAAEA,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAEsD,EAAE,EAAE,mBAAmB,KAAK,EAAE,EAAE,mBAAmB,KAAK7C,EAAEzC,EAAE,KAAK,IAAIsF,EAAE,MAAM,EAAE,OAAO5C,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC2C,EAAEC,EAAEC,CAAC,EAAE3E,EAAE,EAAE,MAAM6B,EAAE,MAAMc,EAAEC,EAAE2B,EAAEC,CAAC,EAAEK,EAAE/C,EAAE,eAAe6C,EAAE,UAAUF,CAAC,EAAE4C,EAAEvF,EAAE,eAAe6C,EAAE,UAAUD,CAAC,EAAEI,EAAEyxD,GAAG,CAAC,OAAO,CAAC,KAAK1xD,EAAE,KAAKwC,CAAC,EAAE,QAAQvF,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BC,CAAC,EAAED,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,8BAA8B+C,CAAC,EAAE/C,EAAE,8BAA8BuF,CAAC,EAAEvC,CAAC,KAAK,CAAC,IAAI/C,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAEvC,GAAG,EAAE,MAAM,CAACwC,EAAEC,CAAC,EAAE,EAAE,EAAE,MAAMd,EAAE,MAAME,EAAES,EAAEC,CAAC,EAAE,OAAOX,EAAE,eAAea,EAAEF,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASu0D,GAAGn3D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,EAAEC,EAAE,EAAE,IAAI,CAAC,IAAI0B,EAAE/T,EAAE,2BAA2B,EAAEkS,CAAC,EAAE8B,EAAExD,EAAE,cAAcuD,CAAC,EAAEE,EAAEF,EAAE,OAAOW,EAAElE,EAAE,eAAeuD,CAAC,EAAEY,EAAEnE,EAAE,uBAAuB,UAAUwD,CAAC,EAAEY,EAAEpE,EAAE,uBAAuB,UAAUwD,CAAC,EAAEa,EAAE7U,EAAE,iBAAiB,EAAE+T,CAAC,EAAEe,EAAE9U,EAAE,iBAAiBkS,EAAE6B,CAAC,EAAEiC,EAAEhW,EAAE,uBAAuBoS,EAAEC,CAAC,EAAE,EAAErS,EAAE,uBAAuB,EAAE,CAAC,EAAEsZ,EAAE,EAAE,OAAO,EAAE9I,EAAE,eAAe,CAAC,EAAEiG,EAAEvE,EAAE,OAAOwE,EAAElG,EAAE,eAAe0B,CAAC,EAAE,GAAG2C,EAAE,OAAOC,EAAE,SAAS,EAAE,QAAQ6B,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAED,EAAEX,EAAE,OAAOa,EAAEF,EAAE,EAAE,OAAOI,EAAE/E,EAAEgE,EAAEY,EAAE,GAAGZ,EAAEY,EAAE,EAAE,GAAG,EAAEC,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAElC,EAAEgC,GAAGI,EAAE,KAAKnC,EAAE+B,GAAGI,EAAE,IAAI,KAAM,SAAQJ,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEpG,EAAE,WAAWmG,EAAE1C,EAAES,CAAC,EAAEmC,EAAED,EAAE,MAAM,CAAC0C,CAAC,EAAEzE,EAAE,QAAQqC,GAAGL,EAAEK,GAAG,CAAC,EAAE,IAAIH,EAAEvG,EAAE,WAAWqG,EAAEyC,EAAE,CAAC,EAAEC,EAAE3C,EAAE,MAAM,CAACH,CAAC,EAAE3B,EAAE,QAAQoC,GAAGqC,EAAErC,GAAG,CAAC,EAAE,IAAIF,EAAExG,EAAE,WAAW+I,EAAE9C,EAAEC,CAAC,EAAEO,EAAEjF,EAAEgE,EAAEe,EAAE,GAAGf,EAAEe,EAAE,EAAE,GAAG,EAAEC,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,EAAErC,EAAEgC,GAAGM,EAAE,KAAKrC,EAAE+B,GAAGM,EAAE,IAAI,CAAC,MAAM,CAACtC,EAAEC,EAAEb,CAAC,CAAC,CAAC,CAAC,IAAIuxD,GAAGkD,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEo3D,GAAGD,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,KAAK,EAAEE,CAAC,EAAE,EAAEi3D,GAAGH,GAAG72E,GAAGizE,GAAG8D,EAAE,EAAEE,GAAG,CAAC,WAAWj3E,GAAG,YAAY,MAAM,WAAWg3E,EAAE,EAAE,SAAS9D,GAAGvzD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,cAAc4B,CAAC,EAAE,EAAE5B,EAAE,oBAAoB6B,EAAEH,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE/B,EAAE,OAAO+B,IAAI,CAAC,IAAIC,EAAEhC,EAAE+B,GAAG,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG3B,IAAI,EAAE,EAAE,EAAE2B,IAAI,EAAED,GAAG,EAAEC,IAAI,EAAE,CAAC,OAAO,CAAC,CAAC,SAASwxD,GAAGxzD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,GAAG,EAAEnR,GAAG,CAACwR,EAAEH,CAAC,EAAE,EAAE,KAAK,EAAE,QAAQ6B,EAAE,EAAEA,EAAE1B,EAAE0B,IAAI,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEjC,EAAE,IAAI+B,EAAEC,CAAC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG/B,IAAIE,EAAE,EAAE,IAAI,EAAE2B,EAAEE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAE,IAAIF,EAAEC,CAAC,EAAED,EAAEE,CAAC,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAEF,EAAEE,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,SAASs1D,GAAGv3D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,IAAI,CAAC,IAAIC,EAAE7B,EAAE,uBAAuB0B,EAAE,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAEG,EAAE,GAAGL,EAAE,EAAE,GAAGI,CAAC,EAAE,OAAOC,CAAC,CAAC,CAAC,SAASm3D,GAAGx3D,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOE,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG8yD,GAAG,EAAElzD,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI6B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAEzD,EAAE,cAAc,EAAE,KAAK,EAAEkE,EAAExC,GAAG,EAAE,MAAMyC,EAAEnE,EAAE,kBAAkBkE,EAAET,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,GAAG,EAAEZ,EAAEY,GAAGvC,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAMW,EAAEC,CAAC,CAAC,CAAC,CAAC,SAAS80D,GAAGz3D,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOE,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG8yD,GAAG,EAAElzD,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI6B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAE/B,GAAG,EAAE,MAAMwC,EAAE,EAAEV,EAAEC,EAAE5B,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAME,EAAES,CAAC,CAAC,CAAC,CAAC,IAAIgxD,GAAG6D,GAAGv3D,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE03D,GAAGD,GAAG51E,GAAG6xE,EAAE,EAAEiE,GAAG,CAAC,WAAW91E,GAAG,YAAY,MAAM,WAAW61E,EAAE,EAAE,SAAS/D,GAAG3zD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,kBAAkB0B,EAAE1B,EAAE,cAAc,CAAC,CAAC,EAAE,GAAG4B,GAAGF,IAAI,SAAS,CAAC,IAAI,EAAE,EAAEF,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAEvD,EAAE,cAAc,EAAE,KAAK,EAAE6B,EAAE,IAAI,EAAE,KAAK,CAAC,EAAE,GAAG0B,CAAC,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,EAAE/B,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAE7B,IAAI,SAASlS,EAAE,uBAAuB,EAAE,IAAI,EAAE,EAAE,KAAKgU,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAE,CAAC,IAAIS,EAAET,EAAE,EAAE,GAAG,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAE,MAAM,GAAG,EAAEA,EAAEtC,EAAEqC,EAAEC,GAAGZ,EAAEC,IAAI,CAAC,GAAG,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,IAAIuzD,GAAG4C,GAAG,CAACx2D,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAE43D,GAAGV,GAAGpzE,GAAG8vE,GAAG,KAAK,MAAM,EAAEiE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAM/D,GAAG0D,GAAGv3D,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE83D,GAAGL,GAAGzzE,GAAG6vE,GAAG,SAAS,EAAEkE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAMhE,GAAGyD,GAAGv3D,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEg4D,GAAGP,GAAGvzE,GAAG4vE,EAAE,EAAEmE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAMjE,GAAGwD,GAAGv3D,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEk4D,GAAGT,GAAGnzE,GAAGyvE,EAAE,EAAEoE,GAAG,CAAC,WAAW7zE,GAAG,YAAY,MAAM,WAAW4zE,EAAE,EAAE,SAASlE,GAAGh0D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEpT,GAAG,CAACuR,EAAE,CAAC,EAAEF,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAE9C,EAAE0C,EAAErC,EAAEwC,GAAGD,GAAGE,EAAE,EAAED,GAAGF,EAAE,KAAKG,CAAC,CAAC,CAAC,GAAGF,EAAE,GAAGA,GAAGZ,EAAE,EAAE,MAAM,IAAI,MAAM,oBAAoBW,yBAAyBZ,GAAG,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAIZ,EAAE,OAAOS,EAAE,EAAEG,GAAG,EAAE,IAAI,GAAG,EAAE,WAAWD,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAASgyD,GAAGj0D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEvR,GAAGqR,EAAEF,EAAE,KAAK,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIyB,EAAE1B,EAAE,WAAWC,CAAC,EAAE,MAAM,EAAE0B,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,EAAE,EAAE,WAAW,CAACC,EAAEC,CAAC,CAAC,EAAEF,EAAE,GAAG,EAAE,OAAO,GAAG,IAAIY,EAAE1C,EAAE,WAAW8B,CAAC,EAAE,GAAGY,GAAGA,EAAE1C,EAAE,OAAO,SAASI,EAAE,OAAOC,GAAGL,EAAE,OAAO0C,GAAG,CAAC,OAAOtC,CAAC,CAAC,IAAI+zD,GAAGqC,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEo4D,GAAGlB,GAAGlyE,GAAGmvE,GAAG,KAAK,MAAM,EAAEkE,GAAG,CAAC,WAAWrzE,GAAG,YAAY,MAAM,WAAWozE,EAAE,EAAMlE,GAAGsC,GAAG,CAACx2D,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAEs4D,GAAGpB,GAAGjyE,GAAGivE,GAAG,KAAK,MAAM,EAAEqE,GAAG,CAAC,WAAWtzE,GAAG,YAAY,MAAM,WAAWqzE,EAAE,EAAMjE,GAAGmC,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEw4D,GAAGtB,GAAGlxE,GAAGquE,GAAG,KAAK,MAAM,EAAEoE,GAAG,CAAC,WAAWzyE,GAAG,YAAY,MAAM,WAAWwyE,EAAE,EAAMpE,GAAGoC,GAAG,CAACx2D,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAE04D,GAAGxB,GAAGjxE,GAAGmuE,GAAG,KAAK,MAAM,EAAEuE,GAAG,CAAC,WAAW1yE,GAAG,YAAY,MAAM,WAAWyyE,EAAE,EAAE,SAASpE,GAAGt0D,EAAE,EAAEE,EAAE,CAAC,IAAIE,GAAG,EAAEJ,IAAIE,EAAE,GAAGG,EAAE7B,EAAE,oBAAoB0B,EAAE,SAAS,EAAEG,EAAE,GAAGL,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,IAAIA,EAAE,GAAGA,EAAE,EAAE,GAAGD,EAAE,OAAOC,CAAC,CAAC,IAAIk0D,GAAGgD,GAAGv3D,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE44D,GAAGnB,GAAGtxE,GAAGouE,EAAE,EAAEsE,GAAG,CAAC,WAAW1yE,GAAG,YAAY,MAAM,WAAWyyE,EAAE,EAAE,SAASpE,GAAGx0D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,uBAAuB4B,EAAE5B,EAAE,cAAc0B,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEG,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE0B,EAAE/B,EAAE,GAAG,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEjC,EAAE,EAAEgC,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC5B,EAAE,GAAG0B,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIo0D,GAAG+B,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAE84D,GAAG5B,GAAGhwE,GAAGutE,EAAE,EAAEsE,GAAG,CAAC,WAAW7xE,GAAG,YAAY,MAAM,WAAW4xE,EAAE,EAAMpE,GAAG8B,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEg5D,GAAG9B,GAAG7vE,GAAGqtE,EAAE,EAAEuE,GAAG,CAAC,WAAW5xE,GAAG,YAAY,MAAM,WAAW2xE,EAAE,EAAMrE,GAAG6B,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEk5D,GAAG/B,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,EAAEE,EAAE,KAAKJ,EAAEI,EAAE,EAAEF,CAAC,EAAE,EAAEi5D,GAAGjC,GAAGxvE,GAAGitE,GAAGuE,EAAE,EAAEE,GAAG,CAAC,WAAW1xE,GAAG,YAAY,MAAM,WAAWyxE,EAAE,EAAE,SAASvE,GAAG50D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE5B,EAAE,kBAAkB,GAAG0B,CAAC,EAAE,OAAOy0D,GAAG,CAAC,EAAE,EAAEv0D,EAAEJ,EAAEE,CAAC,CAAC,CAAC,SAASm5D,GAAGr5D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE8yD,GAAG9yD,EAAE,KAAK,EAAE,IAAIC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC,EAAEw0D,GAAGv0D,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIk5D,GAAG,CAAC,WAAW3xE,GAAG,YAAY,MAAM,WAAW0xE,EAAE,EAAMxE,GAAG2B,GAAG,CAACx2D,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAEu5D,GAAGrC,GAAGnvE,GAAG8sE,GAAG,KAAK,MAAM,EAAE2E,GAAG,CAAC,WAAWzxE,GAAG,YAAY,MAAM,WAAWwxE,EAAE,EAAE,SAASnD,GAAGp2D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,OAAO,EAAE7B,EAAE,cAAc,CAAC,EAAEuD,EAAEvD,EAAE,eAAe,CAAC,EAAEwD,EAAExD,EAAE,eAAe6B,CAAC,EAAE4B,EAAEzD,EAAE,uBAAuB0B,EAAE1B,EAAE,cAAc6B,CAAC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEnE,EAAE,WAAWkE,EAAE,EAAEX,CAAC,EAAEa,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,GAAGH,EAAEvC,EAAE0C,IAAI,IAAID,EAAErE,EAAE,WAAWoE,EAAE,EAAEZ,CAAC,EAAEC,EAAEY,GAAG7C,EAAE0C,EAAE,CAAC,OAAOT,CAAC,CAAC,SAASw3D,GAAGz5D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEH,EAAEgzD,GAAG7yD,EAAE,WAAW,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE,GAAG1B,EAAE,MAAM,EAAE,IAAI,IAAI2B,EAAE5B,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4B,EAAEm0D,GAAGp0D,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE0B,CAAC,EAAE,MAAM,CAAC,OAAO3B,EAAE,MAAM6B,EAAEF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIq5D,GAAG,CAAC,WAAWntE,GAAG,YAAY,MAAM,WAAWktE,EAAE,EAAE,SAAS3E,GAAG90D,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAErS,EAAE,0BAA0BgS,EAAEI,CAAC,EAAE,EAAE9B,GAAG,EAAE,OAAO,EAAEyD,EAAEvD,EAAE,oBAAoBA,EAAE,cAAc6B,CAAC,EAAE,CAAC,EAAE2B,EAAExD,EAAE,cAAc,CAAC,EAAE,QAAQyD,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIS,EAAET,EAAED,EAAEW,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEZ,EAAE,EAAEY,EAAED,GAAGzC,EAAEwC,EAAEE,GAAGb,EAAEE,GAAGU,CAAC,CAAC,MAAM,CAAC,QAAQZ,EAAE,SAAS1B,EAAE,SAAS,CAAC,CAAC,CAAC,SAASs5D,GAAG35D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAEjU,EAAE,mBAAmBgU,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEtC,EAAEuC,EAAE,CAAC,EAAEX,GAAG,OAAOU,EAAE82D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEW,EAAE,KAAKD,CAAC,EAAED,EAAE1U,EAAE,iBAAiB0U,EAAE,OAAOX,CAAC,GAAG,IAAIc,EAAE3C,EAAE,KAAK,IAAIyC,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQG,EAAE,SAASkB,EAAE,SAAS,CAAC,EAAE8wD,GAAGnyD,EAAE,MAAMA,EAAE,MAAME,EAAEH,CAAC,EAAE4E,EAAEtD,EAAE,OAAO,IAAIsD,EAAEtZ,EAAE,qBAAqBgW,EAAEhC,CAAC,GAAGY,EAAE,QAAQ,GAAG1C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAeoH,EAAE,EAAExE,CAAC,CAAC,CAAC,IAAI82D,GAAG,CAAC,WAAWlxE,GAAG,YAAY,MAAM,WAAWixE,EAAE,EAAE,SAASE,GAAG75D,EAAE,EAAEE,EAAE,CAACF,EAAE,QAAQ,CAACI,EAAEC,IAAI,CAAC,GAAGD,EAAE,GAAGA,GAAGF,EAAE,CAAC,IAAI,EAAE1B,EAAE,WAAW6B,EAAE,EAAE,OAAO7B,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,IAAI,MAAM,WAAW,QAAQ4B,mBAAmBF,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS45D,GAAG95D,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,GAAGG,EAAEH,IAAIF,EAAE,OAAO,EAAE,EAAEA,EAAEE,EAAE,GAAG,OAAO,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,EAAE,GAAG,EAAE,MAAM,IAAI,MAAM,oCAAoC,EAAE,GAAGA,EAAEA,EAAE,OAAO,GAAGC,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,CAAC,SAAS25D,GAAG/5D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,OAAO,EAAEH,EAAE,OAAO6B,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,IAAI,CAAC,CAAC,CAAC,EAAE+3D,GAAG55D,EAAEE,CAAC,EAAE,IAAI4B,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,EAAEA,EAAE,CAACD,GAAG,EAAEC,GAAG,IAAIS,EAAE,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAEX,EAAE,EAAE,EAAEW,EAAEZ,EAAEE,GAAG,KAAKU,EAAED,CAAC,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,EAAE,CAAC,IAAIS,EAAE1C,EAAEiC,GAAGU,EAAE3C,EAAEiC,GAAG,EAAE,QAAQW,EAAE,EAAEA,EAAE1C,EAAE,OAAO,EAAE0C,EAAE,CAAC,IAAIC,EAAE3C,EAAE0C,GAAGE,EAAEF,EAAE,EAAE,OAAO,EAAE,GAAGE,GAAG,EAAE,CAAC,IAAIkB,EAAEjC,EAAEe,GAAG,EAAEkB,EAAEA,EAAE,OAAO,GAAGnB,EAAEH,GAAG,QAAQ4E,EAAE5E,EAAE4E,EAAE3E,EAAE,EAAE2E,EAAEvF,EAAEe,GAAG,KAAKD,EAAEyE,EAAE,GAAG,CAAC,CAAC,CAAC5E,EAAEG,EAAEH,GAAGC,EAAEE,EAAEF,EAAE,CAACA,IAAID,IAAIrC,EAAE,KAAK,CAACqC,EAAEC,CAAC,CAAC,EAAE,GAAGA,EAAED,EAAE,CAAC,MAAM,CAAC,UAAUX,EAAE,YAAY1B,EAAE,UAAU,CAAC,CAAC,CAAC,SAAS25D,GAAGh6D,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,GAAG,OAAOG,EAAE7B,EAAE,kBAAkB,QAAQ4B,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEL,EAAEE,GAAG,QAAQ,CAAC,EAAE,IAAIG,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS45D,GAAGj6D,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,KAAKE,EAAE,OAAO,GAAGA,EAAE,KAAK,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIF,EAAE,EAAE,IAAIF,EAAEI,GAAG,OAAOF,CAAC,CAAC,SAASg6D,GAAGl6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE45D,GAAG,EAAE,CAAC,EAAE,GAAGl4D,EAAEk4D,GAAG,EAAE,CAAC,EAAE,GAAGj4D,EAAE,EAAE,QAAQC,KAAK/B,EAAE,QAAQwC,EAAET,EAAE,GAAGS,EAAET,EAAE,GAAG,EAAES,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEtC,EAAE2B,EAAED,EAAEY,GAAG3C,EAAE0C,EAAE,EAAEC,GAAG,EAAEX,CAAC,CAAC,CAAC,SAASm4D,GAAGn6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,IAAI,EAAE7B,EAAE,kBAAkB0B,EAAE1B,EAAE,cAAc,CAAC,CAAC,EAAEuD,EAAE/B,EAAE,OAAOgC,EAAED,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,OAAOm4D,GAAGl6D,EAAE,EAAEI,EAAE4B,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS+yD,GAAG/0D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,GAAG/B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,GAAG,EAAE,GAAG,SAAS,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAIgC,EAAE,EAAE,GAAG,GAAG,EAAE,GAAG63D,GAAG,EAAE,EAAE73D,CAAC,EAAE5B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,6BAA6B,EAAE,IAAI6B,EAAE7B,EAAE,GAAG,CAAC,UAAUsC,EAAE,YAAYC,EAAE,UAAUC,CAAC,EAAEm3D,GAAG,EAAE,EAAE/5D,EAAEiC,CAAC,EAAEY,EAAEm3D,GAAGt3D,CAAC,EAAEI,EAAEq3D,GAAGj6D,EAAEE,EAAEC,EAAEsC,EAAEC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,IAAIs3D,GAAG,WAAW,SAASpF,GAAGh1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI0B,EAAE,EAAE,SAAS,EAAEC,EAAE3B,EAAE,SAAS,EAAE4B,EAAE,EAAE,SAAS,EAAES,EAAE,CAAC,EAAEX,GAAGW,EAAE,KAAK,EAAE,EAAE,EAAEV,GAAGU,EAAE,KAAKrC,EAAE,EAAE,EAAE4B,GAAGS,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,KAAKA,EAAE,EAAE,GAAG,MAAM,IAAI,MAAM,qDAAqD,EAAE,IAAIC,EAAED,EAAE,SAAS,EAAE,EAAEA,EAAE,GAAGE,EAAEpE,EAAE,kBAAkB,QAAQmE,EAAE,CAAC,EAAEC,EAAE,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAI2E,EAAEvF,EAAE/B,EAAE,GAAGA,EAAE,GAAG,EAAEgC,EAAE5B,EAAE,GAAGA,EAAE,GAAGqE,EAAExC,EAAE,EAAE,GAAG,EAAE,GAAG,GAAGwC,IAAI,EAAE,MAAM,IAAI,MAAM,qBAAqB,EAAE,IAAIC,EAAE,GAAGD,EAAE,GAAG,EAAE6C,GAAG7C,EAAE,GAAG,EAAE6C,EAAE5C,EAAE,UAAUA,EAAE,KAAK,KAAK,KAAK,KAAK,EAAE4C,GAAG7C,CAAC,CAAC,EAAEC,EAAE01D,GAAG,MAAM,IAAI,MAAM,yCAAyCA,IAAI,EAAEx3D,EAAE,EAAE,GAAGA,EAAE,GAAG8B,CAAC,CAAC,IAAI7B,EAAED,EAAED,GAAGG,EAAEtE,EAAE,kBAAkB0B,EAAE2C,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAErB,EAAE,EAAE,EAAE,CAAC,IAAI2E,EAAE1E,EAAE,EAAE,GAAGA,EAAE,GAAG,EAAEb,EAAE/B,EAAE,GAAGA,EAAE,GAAGyE,EAAExC,EAAE,EAAE,GAAG,EAAE,GAAG,QAAQyC,EAAE,EAAEA,EAAE4C,EAAE,EAAE5C,EAAE5B,EAAEkB,KAAK,EAAE,GAAGS,CAAC,CAAC,MAAM,CAAC7B,EAAEE,CAAC,CAAC,CAAC,IAAIu3D,GAAGrsE,EAAE,iBAAiBssE,GAAG,KAAK,CAAC,YAAY15D,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,CAAC,KAAK,MAAM9B,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO,EAAE,KAAK,YAAYG,EAAE,KAAK,YAAYwB,EAAE,KAAK,aAAaC,EAAE,KAAK,kBAAkBC,EAAE,KAAK,mBAAmBC,EAAE,KAAK,yBAAyB,EAAE,KAAK,kBAAkBhU,EAAE,2BAA2B0U,CAAC,EAAE,KAAK,WAAW1U,EAAE,cAAc,KAAK,iBAAiB,CAAC,CAAC,+BAA+B4S,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAKy5D,GAAG,eAAe,KAAK,kBAAkBz5D,EAAE,GAAG,KAAK,kBAAkBA,EAAE,CAAC,sBAAsBA,EAAE,CAAC,OAAO,KAAK,kBAAkB,KAAKy5D,GAAG,eAAe,KAAK,mBAAmBz5D,EAAE,GAAG,KAAK,mBAAmBA,EAAE,CAAC,YAAYA,EAAE,CAAC,IAAIV,EAAE,KAAK,sBAAsBU,EAAE,CAAC,EAAE,OAAO,KAAK,+BAA+BA,EAAE,CAAC,EAAE,CAAC,KAAKy5D,GAAG,aAAa,OAAOC,GAAG,sBAAsBp6D,CAAC,EAAE,KAAKm6D,GAAG,WAAW,OAAOC,GAAG,oBAAoBp6D,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,gCAAgCm6D,GAAG,KAAK,+BAA+Bz5D,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,OAAO,oBAAoBA,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,GAAGV,IAAI,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,EAAE,GAAGO,EAAEP,GAAGwB,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,OAAO,sBAAsBjB,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,GAAGV,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAEG,EAAEO,EAAE,GAAGiB,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEnB,EAAEkB,GAAGC,IAAI1B,IAAIA,EAAE0B,EAAEF,EAAE,KAAK,IAAIC,EAAE,EAAED,CAAC,EAAE,EAAEC,EAAE,CAAC,OAAO,KAAK,IAAI5B,EAAE,EAAE2B,CAAC,CAAC,CAAC,sBAAsBjB,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAGU,EAAE,KAAK,GAAG,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,CAAC,CAAC,OAAO25D,GAAG35D,EAAE,CAAC,CAAC,CAAC,oBAAoBA,EAAE,CAAC,IAAIV,EAAE,KAAK,YAAY,EAAE,KAAK,kBAAkBlS,EAAE,0BAA0B,EAAEkS,CAAC,EAAE,IAAIG,EAAE,KAAK,sBAAsB,KAAK,MAAM,KAAK,UAAU,EAAEyB,EAAE9T,EAAE,kCAAkC,KAAK,WAAWqS,EAAEH,CAAC,EAAE4B,EAAE,GAAG,IAAIA,EAAE,GAAGlB,GAAG,QAAQmB,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAEC,GAAG,IAAID,EAAEC,GAAG,KAAK,YAAYA,CAAC,GAAG,OAAOD,CAAC,CAAC,gCAAgClB,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,KAAK,IAAIO,EAAE,CAAC,EAAEiB,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE1B,EAAE,EAAE0B,EAAED,GAAG5B,EAAE2B,EAAE,KAAKC,CAAC,EAAE,QAAQC,EAAE1B,EAAE0B,EAAEnB,EAAE,EAAEmB,EAAEF,EAAE,KAAK,EAAE,EAAE,OAAOrD,EAAE,OAAOqD,EAAE,SAASjB,EAAE,IAAI,yDAAyD,EAAEiB,CAAC,CAAC,6BAA6BjB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,EAAE,GAAGnB,EAAEmB,GAAG,EAAE,KAAK,IAAI1B,EAAE2B,CAAC,EAAEU,EAAExC,EAAE6B,GAAGW,IAAI,KAAK,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAKY,CAAC,EAAEA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEV,EAAE,EAAE,EAAE,EAAEF,EAAE,KAAK,EAAE,CAAC,CAAC,GAAGD,EAAE,GAAGC,EAAE,SAASlB,EAAEiB,EAAE,GAAG,MAAM,IAAI,MAAM,yBAAyB,EAAE,OAAOC,CAAC,CAAC,+BAA+BlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,GAAGD,IAAI,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAEpB,EAAE,GAAG,GAAGoB,GAAG9B,EAAE,OAAO,MAAM,IAAI,MAAM,yBAAyB8B,6BAA6B9B,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE8B,GAAGF,EAAE,KAAK,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,GAAG,GAAG,IAAIV,EAAE,GAAG,IAAI,EAAED,EAAEA,EAAE1B,EAAE,GAAG,EAAE,EAAE,QAAQ,CAAC,GAAG0B,EAAE,EAAEC,EAAE,EAAE,GAAG9B,EAAE,OAAO,MAAM,IAAI,MAAM,sBAAsB,4BAA4BA,EAAE,QAAQ,EAAE,EAAEA,EAAE,EAAE,CAAC4B,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAASlB,EAAE,OAAO,MAAM,IAAI,MAAM,kBAAkB,EAAE,OAAOkB,CAAC,CAAC,qBAAqBlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAE,KAAK,sBAAsBjB,CAAC,EAAEkB,EAAE,KAAK,+BAA+BlB,CAAC,EAAE,OAAOkB,EAAE,CAAC,KAAKu4D,GAAG,aAAa,OAAO,KAAK,+BAA+Bx4D,EAAE3B,EAAE,EAAEG,CAAC,EAAE,KAAKg6D,GAAG,WAAW,GAAGx4D,EAAE,OAAO,EAAE3B,EAAE,OAAO,MAAM,IAAI,MAAM,mDAAmD2B,EAAE,OAAO,OAAO3B,EAAE,QAAQ,EAAE,OAAO,KAAK,6BAA6B2B,EAAE3B,EAAE,EAAEG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,+BAA+Bg6D,GAAGv4D,IAAI,CAAC,CAAC,CAAC,uBAAuB,CAAC,IAAIlB,EAAE,KAAK,mBAAmB,GAAG,GAAG,KAAK,kBAAkB,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,IAAIV,EAAE,KAAK,kBAAkB,GAAG,OAAOA,EAAE,CAAC,KAAKm6D,GAAG,eAAe,OAAOz5D,EAAE,GAAG,KAAKy5D,GAAG,aAAa,MAAM,IAAI,MAAM,gDAAgD,EAAE,KAAKA,GAAG,WAAW,OAAO,KAAK,yBAAyB,GAAG,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,sBAAsBA,GAAGn6D,IAAI,CAAC,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,mBAAmB,GAAG,QAAQ,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAI,EAAE,KAAK,sBAAsB,EAAEE,EAAE,KAAK,oBAAoB,CAAC,EAAEC,EAAE,IAAI,MAAM,KAAK,WAAW,CAAC,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAE,QAAQ2B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAE,EAAEA,EAAE3B,EAAE2B,GAAG3B,EAAE2B,EAAE,GAAG5B,EAAE4B,EAAE,GAAG,IAAIH,EAAE04D,GAAGn6D,EAAE,EAAE,EAAE0B,EAAEtD,EAAE,kBAAkB,KAAK,YAAYA,EAAE,cAAcqD,CAAC,CAAC,EAAE,GAAGxB,EAAE,GAAGD,EAAE,GAAG,EAAE,CAAC,IAAI4B,EAAE,KAAK,gCAAgC,EAAE3B,EAAE,GAAGD,EAAE,EAAE,EAAE,QAAQ6B,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAE,KAAK,qBAAqBC,EAAE,EAAED,EAAE3B,EAAE4B,GAAG7B,EAAE6B,EAAE,EAAE,KAAK,UAAU,KAAK,WAAWD,EAAEF,EAAED,CAAC,CAAC,CAAC,MAAM,CAACA,EAAEC,CAAC,CAAC,CAAC,UAAUlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,EAAE,SAAS,EAAE,OAAO,IAAIwB,EAAE,KAAK,OAAOC,EAAE,EAAEC,EAAE1B,EAAE,MAAM,EAAE0B,EAAEA,EAAE,MAAMnB,EAAE,CAAC,EAAE,IAAIoB,EAAExD,EAAE,cAAcuD,CAAC,EAAE,EAAE7B,EAAE,OAAOwC,EAAE,KAAK,aAAa,GAAGA,EAAE,SAASV,GAAGU,EAAE,SAAS,EAAE,CAAC,IAAII,EAAE,KAAK,kBAAkBpF,EAAE,IAAI,CAAC,IAAIsG,EAAEtK,EAAEgJ,EAAEI,CAAC,EAAEJ,EAAEhU,GAAGsV,EAAEjC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,IAAI,EAAE,EAAEa,EAAE,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAElB,EAAE,EAAE5C,EAAE4C,GAAG,GAAG,GAAGkB,IAAInB,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,GAAGD,EAAEC,EAAE,CAAC,IAAIoB,EAAEpC,EAAE,SAAS,EAAEG,CAAC,EAAEsF,EAAExF,EAAE,SAASc,EAAEZ,CAAC,EAAE8C,GAAGjC,EAAED,GAAGZ,EAAEw4D,GAAGlzD,EAAErD,EAAEa,CAAC,CAAC,CAAC,GAAGhC,GAAG,EAAE,CAAC,IAAImB,EAAE,EAAE,OAAOD,EAAE,KAAK,MAAMC,EAAEjC,CAAC,CAAC,CAAC,GAAGgC,EAAEnB,EAAE,GAAG,KAAK,aAAa,SAAS,EAAEf,EAAE,SAASe,EAAEb,EAAEgC,EAAEhC,CAAC,EAAE,KAAK,KAAK,aAAa,EAAE,EAAEa,EAAEmB,MAAO,MAAKA,EAAEnB,GAAG,CAAC,IAAIoB,EAAEnC,EAAE,MAAMe,EAAEb,CAAC,EAAEw4D,GAAGv2D,EAAEvB,EAAEV,CAAC,EAAE,EAAEa,CAAC,CAACmB,EAAE,GAAG,EAAElB,EAAE,EAAEF,EAAEC,IAAI,EAAEC,EAAEF,EAAEC,EAAEA,EAAED,EAAE,EAAE,CAAC,CAAC,EAAE,SAAS43D,GAAGx6D,EAAE,EAAEE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAEE,IAAIJ,EAAEI,GAAG,EAAEA,EAAE,CAAC,SAASm6D,GAAGv6D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,CAAC,GAAGI,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,aAAaA,gBAAgB,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,aAAaA,iBAAiB,EAAEA,EAAE,EAAE,CAACF,EAAE,KAAKE,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS+0D,GAAGj1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,OAAO,IAAIq4D,GAAGt6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,QAAQ,CAAC,CAAC,SAASizD,GAAGl1D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,IAAI,EAAE,EAAEA,EAAE,GAAGE,EAAE,EAAE,EAAE,EAAEF,GAAGE,EAAE,EAAE,GAAGG,GAAG,GAAG,EAAE,OAAO7B,EAAE,oBAAoB,EAAE4B,CAAC,EAAE,IAAI2B,EAAE,KAAK,IAAI,KAAK,MAAM,EAAE/B,GAAGE,CAAC,CAAC,EAAE8B,EAAExD,EAAE,oBAAoBuD,EAAE3B,CAAC,EAAE,EAAEJ,GAAGE,IAAI,IAAIA,EAAE,IAAI8B,EAAE,GAAGhC,EAAE,QAAQiC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAGD,EAAEC,EAAE,GAAG/B,EAAE,OAAO8B,CAAC,CAAC,IAAImzD,GAAGoC,GAAGv3D,GAAG,EAAE,KAAK,KAAKA,CAAC,CAAC,EAAEy6D,GAAGhD,GAAGztE,GAAGmrE,EAAE,EAAEuF,GAAG,CAAC,WAAW1wE,GAAG,YAAY,MAAM,WAAWywE,EAAE,EAAE,SAASrF,GAAGp1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,IAAIS,EAAE,CAACtC,EAAEC,EAAEA,CAAC,EAAEsC,EAAE3C,EAAE,OAAO4C,EAAE,EAAE,OAAO,GAAGxC,IAAI,EAAE,OAAOvR,GAAGqR,EAAE,EAAE,KAAK,EAAE,IAAI2C,EAAEhU,GAAG6T,EAAE,EAAE,KAAK,EAAE,OAAOV,GAAG,UAAU,OAAOA,GAAG,SAASa,EAAE,OAAO,KAAKb,CAAC,EAAE,OAAOA,GAAG,WAAWa,EAAE,OAAO,KAAK,CAACb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIkB,EAAE,CAAC,EAAE,EAAE,EAAE,QAAQsD,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE3E,EAAEG,EAAE,EAAEwE,GAAGtD,EAAE,KAAK,CAAC,EAAE,GAAG,EAAEjC,EAAEuF,EAAE,CAAC,GAAG,EAAE,GAAG,GAAGlH,EAAEC,EAAE,MAAM,IAAI,MAAM,oBAAoB2D,yBAAyB9D,GAAG,EAAE,QAAQoH,EAAE,EAAEA,EAAEjH,EAAEiH,IAAIrF,EAAEY,EAAE,OAAO,EAAExC,EAAEiH,IAAI1E,EAAEE,EAAEzC,EAAEiH,GAAGzE,EAAE,OAAO,EAAExC,EAAEiH,GAAG,EAAE,OAAO,EAAE1E,EAAE,GAAGA,EAAEE,EAAEzC,EAAEiH,EAAE,CAAC,OAAOzE,CAAC,CAAC,IAAIwyD,GAAGkC,GAAGv3D,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAE26D,GAAGnD,GAAGjtE,GAAGyV,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAE46D,GAAG,CAAC,WAAWrwE,GAAG,YAAY,MAAM,WAAWowE,EAAE,EAAE,SAASpF,GAAGv1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEzE,GAAG,iBAAiBwE,EAAE,EAAEF,CAAC,EAAE,EAAE1B,EAAE,cAAc0B,CAAC,EAAE6B,EAAEvD,EAAE,eAAe4B,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuC,EAAE/G,GAAG,kBAAkB,EAAEmG,CAAC,EAAE,OAAO1B,IAAI,SAASL,EAAE,MAAM2C,EAAEA,EAAE,CAAC,EAAE3C,EAAE,SAAS2C,EAAEA,EAAE,CAAC,CAAC,CAAC,IAAIX,EAAE3B,IAAI,SAASrS,EAAE,uBAAuBgS,CAAC,EAAEA,EAAEiC,EAAEpT,GAAGuR,EAAEC,EAAE2B,CAAC,EAAEU,EAAE7T,GAAGqR,EAAEG,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,WAAWC,CAAC,EAAEE,EAAED,EAAE,IAAI,CAACE,EAAEkB,IAAIlB,EAAE,EAAEkB,EAAE,EAAEtB,EAAE,IAAIT,EAAE,IAAI,GAAGY,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOvC,IAAI,SAASrS,EAAE,uBAAuB0U,EAAE,MAAM,EAAEA,EAAE,MAAM,CAAC,SAASm4D,GAAG76D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,OAAO,EAAE,GAAG,CAAC0B,EAAEC,CAAC,EAAEpG,GAAG,iBAAiByE,EAAE,EAAE,CAAC,EAAEzE,GAAG,kBAAkByE,EAAE0B,EAAEC,CAAC,EAAE,IAAIC,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAE6yD,GAAGtzD,EAAEF,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOH,EAAE,eAAe8B,EAAE3B,EAAE,MAAMqC,CAAC,CAAC,CAAC,IAAIo4D,GAAG,CAAC,WAAWnwE,GAAG,YAAY,MAAM,WAAWkwE,EAAE,EAAE,SAASrF,GAAGx1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGC,EAAE,IAAI,MAAMD,CAAC,EAAEU,EAAE,IAAI,MAAMX,CAAC,EAAEY,EAAE,EAAE,GAAG,GAAGX,IAAI,EAAE,CAAC,GAAGD,IAAI,EAAE,MAAM,IAAI,MAAM/T,EAAE,gDAAgD+T,CAAC,CAAC,EAAE,IAAI,EAAEvD,EAAE,kBAAkB0B,EAAE,CAAC,EAAEoH,EAAE9I,EAAE,kBAAkB6B,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEsC,CAAC,EAAE2E,EAAErF,EAAES,CAAC,CAAC,CAAC,IAAIE,EAAE,GAAGC,EAAE,EAAEC,EAAE,IAAI,MAAMd,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAIuF,EAAEtH,EAAE,EAAE2C,GAAG,GAAG2E,EAAE,EAAE,MAAM,IAAI,MAAMtZ,EAAE,gDAAgD,EAAEsZ,CAAC,CAAC,EAAE,GAAGA,GAAGtF,EAAE,MAAM,IAAI,MAAMhU,EAAE,kDAAkD,EAAEsZ,EAAEtF,CAAC,CAAC,EAAE,EAAEc,EAAEwE,GAAG1E,EAAEA,GAAG0E,GAAGzE,EAAEA,EAAEyE,CAAC,CAAC,IAAItD,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEhC,EAAE,EAAE,EAAE,CAAC,IAAIsF,EAAExE,EAAE,KAAK,EAAEb,EAAE,GAAGqF,EAAEtD,EAAEA,GAAG,CAACsD,EAAExE,EAAE,GAAG,KAAK,IAAIA,EAAE,GAAG,CAAC,EAAE,EAAE,IAAIA,EAAE,IAAIA,EAAE,EAAE,GAAG,CAAC,GAAGkB,GAAGpB,EAAE,CAAC,IAAI,EAAE5C,EAAEsH,EAAElH,EAAE,QAAQ,EAAE,EAAE,EAAE2B,EAAE,EAAE,EAAEW,EAAE,GAAG,EAAE,MAAM,CAAC,EAAE,CAACX,EAAEY,CAAC,EAAE2E,EAAErF,EAAES,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEI,EAAEd,EAAE,GAAGsF,EAAE9I,EAAE,kBAAkB0B,EAAE,EAAEyC,CAAC,EAAE,EAAEnE,EAAE,kBAAkB6B,EAAE,CAAC,EAAEoE,EAAE,IAAI,MAAMzC,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAE,CAAC,IAAIC,EAAE3E,EAAE0E,EAAE/B,GAAGiC,EAAEH,EAAEE,GAAGE,GAAGF,IAAI,EAAE,EAAE7B,EAAE6B,EAAE,IAAIC,EAAEH,EAAEE,KAAK,QAAQI,EAAE,EAAEA,EAAEpC,EAAE,EAAEoC,EAAEuC,EAAEzC,EAAElC,EAAEoC,GAAG/E,EAAE0E,EAAE/B,EAAEoC,GAAG,EAAEF,GAAGzE,EAAEsE,GAAGhC,EAAEgC,GAAGG,CAAC,CAAC,QAAQH,EAAE,EAAEA,EAAE1C,EAAE,EAAE0C,EAAE,GAAGD,EAAEC,KAAK,EAAE,CAAC,IAAIE,EAAEF,IAAI,EAAE,EAAE5B,EAAE4B,EAAE,GAAG4C,EAAE1C,EAAEjC,EAAE,GAAG+B,EAAE,QAAQG,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAEyC,EAAE1C,EAAEjC,EAAEkC,GAAG,EAAE,EAAED,GAAG,CAAC,CAAC,MAAM,CAAC0C,EAAE,CAAC,EAAE3E,CAAC,EAAE,EAAEV,EAAES,CAAC,CAAC,CAAC,CAAC,SAAS+yD,GAAGz1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,cAAc4B,CAAC,EAAE,EAAE,EAAE,GAAG2B,EAAE1B,EAAE,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE,GAAG,QAAQuB,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIqD,EAAEjH,EAAE4D,GAAG,GAAGqD,IAAI,GAAG,CAAC,GAAG5E,IAAI,GAAG,MAAM,IAAI,MAAM1U,EAAE,yDAAyD0U,EAAEuB,CAAC,CAAC,EAAEvB,EAAEuB,EAAEjC,EAAE,KAAK,CAAC,CAAC,KAAK,CAAC,GAAGsF,EAAE,EAAE,MAAM,IAAI,MAAMtZ,EAAE,8CAA8CiW,EAAEqD,CAAC,CAAC,EAAErF,GAAGqF,EAAEtF,EAAE,KAAKsF,CAAC,CAAC,CAAC,CAAC,GAAG5E,IAAI,GAAG,CAAC,GAAGT,GAAG,EAAE,MAAM,IAAI,MAAMjU,EAAE,qDAAqD,CAAC,EAAE,IAAIiW,EAAE,KAAK,MAAM,EAAEhC,CAAC,EAAE,GAAGA,EAAEgC,IAAI,EAAE,MAAM,IAAI,MAAMjW,EAAE,gDAAgDoS,EAAE4B,CAAC,CAAC,EAAEA,EAAEU,GAAGuB,CAAC,CAAC,GAAGzF,EAAE,cAAcwD,CAAC,IAAI,EAAE,MAAM,IAAI,MAAMhU,EAAE,gDAAgDoS,EAAE4B,CAAC,CAAC,EAAE,IAAIY,EAAExC,EAAE,OAAOyC,EAAE,CAAC,EAAE,GAAGD,EAAE,EAAE,CAACC,EAAED,EAAE,GAAG,EAAE,QAAQqB,EAAErB,EAAE,EAAEqB,GAAG,EAAE,EAAEA,EAAEpB,EAAEoB,GAAGpB,EAAEoB,EAAE,GAAG7D,EAAE6D,EAAE,EAAE,CAAC,IAAInB,EAAE,CAAC,EAAE,GAAGf,EAAE,EAAE,CAACe,EAAEf,EAAE,GAAG,EAAE,QAAQkC,EAAElC,EAAE,EAAEkC,GAAG,EAAE,EAAEA,EAAEnB,EAAEmB,GAAGnB,EAAEmB,EAAE,GAAGjC,EAAEiC,EAAE,EAAE,CAAC,IAAID,EAAExF,EAAE,kBAAkB0B,EAAE,EAAE6B,CAAC,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIqD,EAAE,EAAE,QAAQxC,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAEwC,GAAGtH,EAAEiE,EAAErB,EAAEkC,GAAGjC,EAAEiC,GAAG,QAAQA,EAAE,EAAEA,EAAE/C,EAAE,EAAE+C,EAAEd,EAAEC,EAAElC,EAAE+C,GAAG,KAAK,MAAMwC,EAAExE,EAAEgC,EAAE,EAAEwC,GAAGxE,EAAEgC,EAAE,CAAC,MAAM,CAACd,EAAE,CAAC,EAAEjC,CAAC,EAAEC,CAAC,CAAC,CAAC,SAAS0zD,GAAG11D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,IAAI0B,EAAE3B,EAAE,OAAO4B,EAAE,CAAC,EAAE,GAAGhC,EAAE,OAAO,EAAE,EAAE,EAAEiC,EAAED,EAAE,GAAG,EAAED,EAAE,EAAE1B,EAAE0B,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM/T,EAAE,wDAAwD,CAAC,EAAE,IAAI4U,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAED,EAAE,OAAO,CAAC6B,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE5B,EAAEtE,EAAE,kBAAkB0B,EAAE2C,CAAC,EAAE,GAAGd,IAAI,EAAE,OAAO,EAAE,GAAGe,EAAE,KAAK,CAAC,EAAE,CAACA,EAAEF,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM5U,EAAE,wDAAwD,CAAC,EAAE,IAAIgW,EAAE,EAAEC,EAAE,EAAEqD,EAAE,EAAExC,EAAEzE,EAAE2D,GAAG,OAAO,CAAC,IAAIS,EAAE,EAAE,GAAGR,EAAElC,EAAE,CAAC,GAAG0C,EAAEpE,EAAE4D,GAAGa,IAAIL,EAAE,CAAC,EAAER,EAAE,QAAQ,CAAC,GAAGa,GAAGL,EAAE,MAAM,IAAI,MAAMzW,EAAE,6DAA6D,CAAC,CAAC,CAAC,GAAG8W,EAAE,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM9W,EAAE,yDAAyD8W,EAAE,CAAC,CAAC,EAAEA,EAAEwC,GAAGxE,EAAE,KAAK,EAAEwE,EAAErF,EAAE6C,EAAE7C,CAAC,EAAE,QAAQyC,EAAEV,EAAEU,EAAET,EAAE,EAAES,EAAE,CAAC,IAAIC,EAAEvE,EAAEsE,GAAG,GAAGC,EAAE,GAAGA,GAAG3C,EAAE,GAAG,MAAM,IAAI,MAAMhU,EAAE,uDAAuD0W,EAAEtE,EAAEsE,GAAG1C,EAAE,EAAE,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI9B,EAAEgC,EAAE7C,EAAE2C,IAAI5E,EAAE2E,EAAE1C,EAAE2C,EAAE,CAAC,GAAG,EAAE,QAAQF,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI5B,EAAEgC,EAAE7C,EAAEyC,IAAIT,EAAED,EAAE,GAAGA,EAAEC,EAAE,EAAEA,EAAEqD,EAAExC,EAAE,EAAEA,EAAEL,EAAER,EAAElC,EAAE,KAAK,CAAC,OAAOuF,EAAE,GAAGxE,EAAE,KAAK,EAAEwE,EAAErF,EAAE,EAAEA,CAAC,EAAE,CAACa,EAAEF,CAAC,CAAC,CAAC,IAAI+yD,GAAG4B,GAAGv3D,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE+6D,GAAGvD,GAAGnsE,GAAG2U,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEg7D,GAAG,CAAC,WAAW3vE,GAAG,YAAY,MAAM,WAAW0vE,EAAE,EAAMnF,GAAGY,GAAG,CAACx2D,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOE,EAAEA,CAAC,CAAC,EAAE+6D,GAAG/D,GAAG3rE,GAAGqqE,EAAE,EAAEsF,GAAG,CAAC,WAAW3vE,GAAG,YAAY,MAAM,WAAW0vE,EAAE,EAAE,SAASpF,GAAG71D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAExR,GAAGmR,EAAE,EAAE,KAAK,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,KAAK,IAAI,CAAC,IAAI,EAAEA,EAAE,WAAW,CAAC,EAAE0B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG,EAAEA,GAAG9B,EAAE8B,GAAG5B,EAAE4B,GAAG3B,EAAE,IAAI,EAAE,IAAI,GAAG0B,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAI86D,GAAG,KAAK,CAAC,YAAYv6D,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,UAAUtD,EAAE,aAAaoC,CAAC,EAAE,KAAK,YAAYV,EAAE,KAAK,QAAQ1B,EAAE,aAAa,CAAC,EAAE,KAAK,SAASA,EAAE,aAAa6B,CAAC,EAAE,KAAK,SAASwB,EAAE,KAAK,cAAcC,CAAC,CAAC,YAAYlB,EAAE,CAAC,OAAO,KAAK,IAAI,KAAK,SAAS,EAAEA,EAAE,EAAE,KAAK,SAASA,EAAE,CAAC,CAAC,CAAC,aAAaA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,YAAYA,CAAC,EAAE,OAAO,KAAK,IAAI,EAAEU,EAAE,EAAE,EAAEV,EAAE,CAAC,CAAC,CAAC,aAAaU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAE,KAAK,YAAYF,CAAC,EAAE,EAAE,KAAK,IAAI,EAAEE,EAAED,CAAC,EAAEW,EAAE,KAAK,IAAI,EAAEV,GAAGH,GAAGE,EAAE,GAAG,EAAE,EAAED,GAAG,EAAEY,GAAGE,EAAE1C,GAAG,EAAE,EAAE,EAAE6B,EAAEC,GAAGa,EAAE,EAAEA,GAAG,EAAE,KAAK,QAAQ,OAAO,QAAQiC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEjC,GAAGjC,EAAEgC,EAAEkC,GAAG,OAAOjC,GAAGH,EAAE,KAAK,SAAS,OAAO,IAAII,EAAE,EAAEJ,EAAE,EAAE,EAAEG,GAAGC,EAAE,KAAK,UAAU,OAAO,EAAEzC,EAAE0B,GAAG,IAAI,WAAWc,CAAC,EAAE,IAAImB,EAAE,EAAE3D,EAAE0B,GAAGkC,EAAE,EAAEqD,EAAExC,GAAGA,EAAE,QAAQL,GAAGT,EAAEC,KAAKQ,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEwC,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,SAAS,EAAE,QAAQxC,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAEwC,EAAE1G,EAAEgC,EAAEkC,EAAE,EAAEwC,EAAE,KAAK,SAAS,EAAE,GAAG,EAAE,EAAE,CAACA,EAAE1G,EAAEgC,EAAE,EAAE,EAAE,EAAE,QAAQkC,EAAE,EAAEA,EAAEpC,EAAE,EAAEoC,EAAEwC,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,KAAK,CAAC,QAAQxC,EAAE,EAAEA,EAAEpC,EAAE,EAAE,EAAEoC,EAAEwC,EAAE,KAAK,QAAQ,EAAEA,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,QAAQ1G,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,OAAOP,EAAEH,EAAE,OAAO,GAAGG,EAAE,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,GAAG,GAAG8B,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,EAAE,EAAE,CAAC,IAAIqC,EAAExC,EAAE,IAAI8B,EAAE,GAAGU,EAAEA,GAAGxC,EAAE,IAAI,EAAE,CAACwC,EAAE,MAAM,IAAI,MAAM,uBAAuBxC,EAAE,mBAAmB8B,MAAM,IAAI,EAAEA,EAAE9B,EAAE,EAAE,CAAC,GAAG8B,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,UAAUA,GAAG,CAAC,CAAC,IAAIH,EAAExB,EAAE,EAAEyB,EAAEtD,EAAE,kBAAkB,QAAQ6B,CAAC,EAAE,GAAG,IAAI,GAAGA,IAAI,EAAE,CAAC,IAAI2B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAGH,EAAE,EAAE,EAAEC,EAAE,GAAG,EAAE,MAAM,CAACE,EAAEF,CAAC,CAAC,CAACA,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,GAAGH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,GAAG9B,EAAE8B,EAAE,GAAGU,EAAE,EAAE,KAAK,YAAY,QAAQ,GAAG,CAACA,GAAG,KAAK,aAAa,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,eAAe,EAAE,GAAGA,IAAI,IAAIA,EAAE,GAAGZ,EAAEE,GAAGF,EAAEE,EAAE,GAAGU,CAAC,CAAC,IAAIX,EAAE,IAAI,MAAMD,EAAED,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,GAAGU,EAAEZ,EAAEE,GAAG,GAAG,KAAK,YAAY,QAAQ,GAAG,CAAC,IAAIY,EAAE1C,EAAE8B,EAAE,GAAG9B,EAAE8B,GAAGa,EAAE,KAAK,aAAaD,EAAE,CAAC,EAAE,KAAK,aAAahC,EAAE,EAAEmB,EAAEW,EAAEG,EAAE,CAAC,EAAEH,GAAGG,CAAC,CAAC,EAAE,KAAK,eAAeH,IAAIZ,EAAEE,GAAG,CAAC,IAAI,EAAE9B,EAAE8B,EAAE,GAAG9B,EAAE8B,GAAG,GAAG,IAAI,EAAE,SAAS,IAAIY,EAAE,EAAE,EAAE,KAAK,SAASC,EAAE,EAAE,KAAK,aAAajC,EAAE,EAAEmB,EAAEW,EAAEG,EAAED,CAAC,CAAC,CAAC,CAAC,MAAM,CAACb,EAAED,CAAC,CAAC,CAAC,EAAE,SAASg0D,GAAG91D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,IAAIo5D,GAAGj7D,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,CAAC,EAAE,QAAQ/B,EAAE,CAAC,CAAC,CAAC,SAASo7D,GAAGp7D,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACJ,EAAE,OAAO,OAAO,GAAG,EAAE,SAAS,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEI,EAAE,KAAKJ,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,GAAG,EAAEA,EAAE,QAAQ,CAAC,EAAE,KAAK,IAAI,IAAI,CAAC,IAAI+B,EAAE/B,EAAE,SAAS,EAAE,CAAC,GAAG,CAACE,GAAG6B,EAAE,SAAS,IAAI3B,EAAE,KAAK2B,CAAC,EAAE/B,EAAEA,EAAE,SAAS,EAAE,CAAC,EAAE,EAAEA,EAAE,QAAQ,CAAC,CAAC,EAAE,CAACE,GAAGF,EAAE,SAAS,IAAII,EAAE,KAAKJ,CAAC,EAAE,MAAM,CAAC,IAAIK,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,OAAO,EAAE,IAAI,GAAG,IAAIA,EAAE,QAAQ,EAAE,QAAQA,EAAE,EAAE,IAAI,GAAG,CAAC,IAAI,EAAEA,EAAE,SAASK,EAAE,CAAC,GAAG,CAACH,GAAG,EAAE,SAAS,IAAIE,EAAE,KAAK,CAAC,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS01D,GAAG/1D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,OAAOK,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,IAAI,MAAM3B,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAExC,EAAE,OAAO+6D,GAAGp7D,EAAE4C,GAAG,EAAE1C,EAAEG,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,OAAOwC,EAAEd,EAAEa,GAAGE,EAAE,GAAGA,EAAE,EAAE,KAAK,IAAI,EAAEA,CAAC,CAAC,CAAC,IAAId,EAAExD,EAAE,kBAAkB,QAAQ,EAAE,CAAC,EAAEyD,EAAE,IAAI,MAAM,CAAC,EAAES,EAAE,CAACtC,EAAE,CAAC,EAAEuC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEd,EAAEa,GAAG,EAAEC,EAAEb,EAAEW,EAAE,GAAGC,EAAEZ,EAAEW,EAAE,EAAE,GAAGE,EAAEZ,EAAEU,GAAGtC,EAAEsC,GAAG,EAAEA,EAAE,MAAM,CAACX,EAAEC,EAAES,CAAC,CAAC,CAAC,SAASszD,GAAGh2D,EAAE,EAAE,CAAC,IAAIE,EAAE1B,EAAE,kBAAkB,QAAQwB,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAEF,EAAEE,GAAG5B,EAAE,cAAcwB,EAAEI,EAAE,EAAE,OAAO,CAAC,EAAE,mBAAmB,EAAE,OAAOF,CAAC,CAAC,IAAI+1D,GAAGO,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEq7D,GAAGlE,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,KAAK,EAAEE,CAAC,EAAE,EAAEk7D,GAAGpE,GAAGrrE,GAAGoqE,GAAGoF,EAAE,EAAEE,GAAG,CAAC,WAAW1vE,GAAG,YAAY,MAAM,WAAWyvE,EAAE,EAAE,SAASpF,GAAGl2D,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,IAAI,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAGL,EAAE,MAAMK,GAAG,EAAEA,GAAG,IAAID,EAAEvR,GAAGqR,EAAEF,EAAE,KAAK,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,OAAO,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAED,EAAE,WAAWC,CAAC,EAAE,EAAE,IAAI,MAAML,EAAE,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG,EAAEA,GAAGhC,EAAE,MAAMgC,GAAG,IAAID,EAAE/B,EAAE,WAAW,CAAC,EAAEI,EAAE,OAAOC,GAAGL,EAAE,OAAO+B,EAAE,CAAC,OAAO3B,CAAC,CAAC,IAAIo7D,GAAG,CAACx7D,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,MAAMF,EAAE,MAAM,OAAOE,IAAI,EAAEF,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,SAASu7D,GAAGz7D,EAAE,EAAEE,EAAE,EAAEE,EAAEJ,EAAE,OAAO,EAAE,CAAC,KAAKI,EAAEF,GAAG,CAAC,GAAGE,EAAEF,EAAE,IAAI,CAAC,IAAI6B,EAAE3B,EAAEF,EAAE,EAAE8B,EAAE,EAAE9B,EAAE,EAAE+B,EAAE,KAAK,IAAIF,CAAC,EAAEW,EAAE,GAAG,KAAK,IAAI,EAAET,EAAE,CAAC,EAAEU,EAAE,GAAG,KAAK,KAAKV,EAAES,GAAGX,EAAEW,GAAGX,CAAC,EAAE,KAAK,KAAKC,EAAED,EAAE,CAAC,EAAEa,EAAE,KAAK,IAAI1C,EAAE,KAAK,MAAM,EAAE8B,EAAEU,EAAEX,EAAEY,CAAC,CAAC,EAAEE,EAAE,KAAK,IAAIzC,EAAE,KAAK,MAAM,GAAG2B,EAAEC,GAAGU,EAAEX,EAAEY,CAAC,CAAC,EAAE84D,GAAGz7D,EAAE,EAAE4C,EAAEC,CAAC,CAAC,CAAC,IAAIxC,EAAEL,EAAE,GAAG,EAAEE,EAAE,EAAEE,EAAE,IAAI5B,EAAE,KAAKwB,EAAEE,EAAE,CAAC,EAAEs7D,GAAGx7D,EAAEI,GAAGC,CAAC,EAAE,GAAG7B,EAAE,KAAKwB,EAAEE,EAAEE,CAAC,EAAE,EAAE,GAAG,CAAC,IAAI5B,EAAE,KAAKwB,EAAE,EAAE,CAAC,EAAE,IAAI,IAAIw7D,GAAGx7D,EAAE,GAAGK,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKm7D,GAAGx7D,EAAE,GAAGK,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAACm7D,GAAGx7D,EAAEE,GAAGG,CAAC,IAAI,EAAE7B,EAAE,KAAKwB,EAAEE,EAAE,CAAC,GAAG,EAAE,EAAE,EAAE1B,EAAE,KAAKwB,EAAE,EAAEI,CAAC,GAAG,GAAG,IAAIF,EAAE,EAAE,GAAG,GAAG,IAAIE,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS+1D,GAAGn2D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,GAAG,CAAC,EAAE0B,CAAC,EAAE,CAAC/B,EAAE,OAAO,EAAE,CAAC,EAAEgC,EAAExD,EAAE,uBAAuB0B,EAAE,EAAEE,CAAC,EAAE6B,EAAEzD,EAAE,uBAAuB,QAAQ,EAAE4B,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAEc,EAAE7C,EAAE,SAAS4C,EAAEA,EAAEb,CAAC,EAAEe,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAEA,EAAE,QAAQ,CAAC,EAAE4B,IAAI3B,EAAE2B,GAAG,CAAC,MAAM,EAAE,MAAMA,CAAC,CAAC,EAAErE,EAAE0C,EAAE,SAAS24D,GAAG34D,EAAE1C,CAAC,EAAE0C,EAAEA,EAAE,MAAM,EAAE1C,CAAC,GAAGC,GAAGyC,EAAE,KAAK04D,EAAE,EAAE,IAAIx3D,EAAErB,EAAEvC,EAAE,EAAE4B,EAAE,SAASgC,EAAEA,EAAE5D,CAAC,EAAEkH,EAAErF,EAAE,SAAS+B,EAAEA,EAAE5D,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,EAAE,GAAG0C,EAAE,GAAG,MAAMwE,EAAE,GAAGxE,EAAE,GAAG,KAAK,CAAC,IAAIJ,EAAE,EAAE,MAAM,EAAE,OAAOA,EAAEA,EAAE,OAAO,GAAGtC,EAAE,CAACvR,GAAG6T,EAAExC,EAAE8B,CAAC,EAAEnT,GAAG6T,EAAE,QAAQT,CAAC,CAAC,CAAC,CAAC,SAASo0D,GAAGr2D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,eAAe,EAAE0B,CAAC,EAAE,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,EAAE,IAAI5C,EAAE4C,GAAG,EAAE,GAAG5C,EAAEG,GAAG,QAAQyC,EAAEzC,EAAE,EAAEyC,EAAE5C,EAAE,OAAO4C,IAAI,EAAE,IAAI5C,EAAE4C,GAAG,IAAI,EAAE,CAAC,EAAEf,EAAE,IAAI,WAAW7B,EAAEG,EAAE,EAAE2B,EAAE,IAAI7V,GAAG,EAAEiU,EAAEJ,CAAC,EAAEiC,EAAE,CAAC,EAAES,EAAE,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,QAAQI,EAAE,EAAEA,EAAE5C,EAAEG,GAAGyC,IAAI,CAAC,IAAIkB,EAAE,GAAGtB,EAAEsB,EAAEhE,EAAE8C,GAAG,SAAS,MAAM,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQwE,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI,QAAQ,EAAE,EAAE,EAAE,EAAE,GAAG,IAAI,EAAE,KAAKtF,EAAE,IAAIsF,EAAExE,EAAE,CAAC,CAAC,EAAEkB,EAAE,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAEA,KAAK,OAAOjC,EAAEe,GAAG,EAAEkB,OAAO,CAAC,IAAI,EAAE,OAAO,KAAK,CAAC,EAAE,OAAO,EAAEA,GAAG,EAAEjC,EAAEe,GAAG,EAAEb,EAAE,KAAKa,CAAC,CAAC,CAAC,CAAC,IAAIH,EAAE,EAAE,MAAM,EAAEA,EAAE,GAAG,OAAO,KAAK,CAAC,EAAE,OAAO,IAAIC,EAAE,IAAIzW,GAAGwW,EAAEvC,CAAC,EAAE6B,EAAE,QAAQ,CAACa,EAAEkB,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAE,EAAE,GAAG,IAAI,QAAQsD,EAAE,EAAEA,EAAE,EAAE,GAAGA,IAAI1E,EAAE,IAAIZ,EAAE,IAAI,EAAEc,EAAEwE,CAAC,EAAE,EAAEtD,EAAEsD,CAAC,CAAC,CAAC,EAAE,IAAIzE,EAAE3C,EAAE,MAAM,EAAE,OAAO2C,EAAExC,GAAGsC,EAAE,GAAG,CAAC,aAAaC,EAAE,OAAO,YAAYC,EAAE,QAAQd,CAAC,CAAC,CAAC9I,GAAG,MAAM,IAAI,IAAIm6D,GAAG,CAAC,EAAE,IAAIsI,GAAGlE,GAAG7zE,GAAGqc,GAAGA,GAAG,EAAEA,EAAE,KAAK,IAAIA,CAAC,EAAE,CAAC,EAAE27D,GAAG,CAAC,WAAWh4E,GAAG,YAAY,MAAM,WAAW+3E,EAAE,EAAE,SAASE,GAAG57D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,WAAW,EAAE,IAAI,EAAE7B,EAAE,cAAc6B,EAAE,KAAK,EAAE0B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAExD,EAAE,uBAAuB,UAAU,CAAC,EAAE,QAAQyD,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAID,EAAEC,GAAGF,EAAEE,GAAG,EAAE,EAAEF,EAAEE,GAAGF,EAAEE,GAAG,OAAO/B,EAAE,eAAeG,EAAE,MAAM,UAAU2B,CAAC,CAAC,CAAC,IAAI65D,GAAG,CAAC,WAAW91E,GAAG,YAAY,MAAM,WAAW61E,EAAE,EAAME,GAAGtF,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEA,CAAC,EAAE,SAAS+7D,GAAG/7D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,CAAC,EAAE85D,GAAG17D,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,SAAS,EAAE,OAAOH,EAAE,eAAe8B,EAAE,UAAUD,CAAC,CAAC,CAAC,IAAIi6D,GAAG,CAAC,WAAWvzE,GAAG,YAAY,MAAM,WAAWszE,EAAE,EAAME,GAAGzE,GAAGluE,GAAG0W,GAAG,KAAK,IAAI,EAAEA,CAAC,CAAC,EAAEk8D,GAAG,CAAC,WAAW5yE,GAAG,YAAY,MAAM,WAAW2yE,EAAE,EAAME,GAAG3E,GAAGjuE,GAAGyW,GAAG,KAAK,IAAI,KAAK,IAAI,EAAEA,CAAC,EAAE,CAAC,CAAC,EAAEo8D,GAAG,CAAC,WAAW7yE,GAAG,YAAY,MAAM,WAAW4yE,EAAE,EAAE,SAASE,GAAGr8D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,GAAGH,IAAI,SAAS,OAAO02D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ52D,CAAC,CAAC,EAAE,GAAGE,IAAI,OAAO,OAAO+7D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj8D,CAAC,CAAC,EAAE,GAAGE,IAAI,MAAM,OAAOw7D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ17D,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAOi8D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn8D,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAO67D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,MAAM37D,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,GAAGE,IAAI,YAAY,OAAO07D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ57D,EAAE,MAAM,CAAC,MAAMK,CAAC,CAAC,CAAC,EAAE,GAAGH,IAAI,UAAU,OAAOy6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36D,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,cAAcE,iDAAiD,CAAC,CAAC,SAASo8D,GAAGt8D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAE5B,EAAE,cAAc6B,EAAE,KAAK,EAAE0B,EAAEvD,EAAE,uBAAuB,EAAE,CAAC,EAAEwD,EAAExD,EAAE,cAAcuD,CAAC,EAAEvD,EAAE,OAAO,IAAIwD,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC3B,EAAE,cAAc,gFAAgF,EAAEH,EAAE,OAAOG,EAAE,MAAM,EAAE,IAAI4B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,GAAG4B,EAAE,oBAAoB,KAAK,CAAC,IAAIS,EAAET,EAAE,mBAAmB,KAAKU,EAAEV,EAAE,mBAAmB,KAAKS,EAAE,MAAMX,EAAEY,EAAE,MAAMZ,CAAC,CAAC,MAAM,CAAC,OAAO1B,EAAE,OAAO,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIk8D,GAAG,CAAC,WAAW/yE,GAAG,YAAY,MAAM,WAAW8yE,EAAE,EAAE,SAASE,GAAGx8D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAExF,EAAE,cAAcsE,CAAC,EAAEwE,EAAE9I,EAAE,cAAcwF,CAAC,EAAES,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAErE,EAAE,OAAOkE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACuF,EAAEzE,EAAEF,CAAC,EAAE,CAAC2E,EAAE3E,EAAEE,CAAC,EAAE+B,EAAE03D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAEG,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,EAAEI,EAAE,EAAEH,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG2C,EAAE,EAAE3C,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGI,EAAEjD,EAAE8C,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGI,EAAE,KAAK,IAAI,EAAEqC,CAAC,EAAEpC,EAAEhF,EAAE,KAAK,IAAI0E,EAAE,MAAM,EAAE,OAAOO,EAAEjF,EAAE,KAAK,IAAI2E,EAAE,MAAM,EAAE,OAAOO,EAAE5G,EAAE,eAAeoG,EAAE,KAAK,EAAES,EAAE7G,EAAE,eAAeqG,EAAE,KAAK,EAAE,CAACmD,EAAEP,EAAEQ,CAAC,EAAE,EAAE,CAAC7C,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAGA,EAAE,GAAG,CAAC,EAAE,CAAC8C,EAAGC,EAAGC,CAAE,EAAErG,EAAE,CAAC,EAAEsD,EAAE,GAAGA,EAAE,EAAE,EAAE,CAACA,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAEgD,GAAGd,EAAEvC,EAAEsD,GAAGzZ,GAAG,CAACoW,EAAEsC,EAAEvC,CAAC,EAAEJ,EAAE,KAAK,EAAE8B,GAAG4B,GAAG,OAAOE,GAAGtI,EAAE,UAAU,QAAQuI,GAAG,EAAEA,GAAGxD,EAAEwD,KAAK,CAAC,IAAIC,GAAGD,GAAG,EAAEE,GAAGF,GAAGnB,EAAE,QAAQsB,GAAG,EAAEA,GAAGrB,EAAEqB,IAAIJ,GAAG,CAAC,IAAIK,GAAG,KAAK,IAAID,GAAGJ,GAAGjB,CAAC,EAAE,QAAQ2B,GAAG,EAAEA,GAAGlE,EAAEkE,IAAIV,GAAG,CAAC,IAAIW,GAAG,KAAK,IAAID,GAAGV,GAAGxD,CAAC,EAAE,QAAQoE,GAAG,EAAEA,GAAGrE,EAAEqE,IAAIZ,GAAG,CAAC,IAAI7B,GAAG,KAAK,IAAIyC,GAAGZ,GAAGzD,CAAC,EAAE,QAAQ8B,GAAG+B,GAAG/B,GAAGgC,GAAGhC,KAAK,QAAQC,GAAGoC,GAAGpC,GAAGqC,GAAGrC,KAAK,CAAC,IAAIC,GAAG,EAAE,QAAQsC,GAAGD,GAAGC,GAAG1C,GAAG0C,KAAK,CAAC,IAAIrC,GAAG9B,EAAEwD,GAAGV,EAAEnB,GAAGY,EAAE4B,GAAGpB,GAAGhB,GAAG9B,EAAEkE,GAAGnB,EAAGpB,GAAGqB,EAAGQ,GAAGP,GAAIrB,IAAIC,GAAGC,EAAE,CAACP,GAAG+B,GAAGJ,IAAIxB,GAAG7B,EAAE8B,MAAMC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO7G,EAAE,8BAA8B0E,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,eAAeuE,EAAE6D,GAAG,MAAMA,GAAG,MAAM,CAAC,CAAC,IAAIm0D,GAAG,CAAC,WAAWp7E,GAAG,YAAY,MAAM,WAAWm7E,EAAE,EAAE,SAASE,GAAG18D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAEC,EAAEC,EAAEkB,EAAE,CAAC,EAAEpB,EAAE45D,GAAG,CAAC,OAAO,CAAC,EAAEn8D,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,WAAW2B,EAAE,WAAWC,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,IAAI2C,EAAEw0D,GAAG,CAAC,OAAO,CAAC,EAAEz0D,EAAE,EAAE,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE8D,EAAE,KAAKpB,CAAC,EAAEA,EAAEC,GAAGH,IAAII,EAAEu5D,GAAGn8D,EAAE0C,EAAEF,EAAEX,EAAEY,CAAC,EAAEqB,EAAE,KAAKpB,CAAC,EAAEA,EAAEE,GAAG,QAAQwE,KAAKtD,EAAE9D,EAAE,8BAA8BoH,CAAC,EAAE,OAAO1E,CAAC,CAAC,IAAI+5D,GAAG,CAAC,WAAW7vE,GAAG,YAAY,MAAM,WAAW4vE,EAAE,EAAME,GAAGpF,GAAGz3E,GAAGigB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE68D,GAAG,CAAC,WAAW98E,GAAG,YAAY,MAAM,WAAW68E,EAAE,EAAME,GAAGtF,GAAGx3E,GAAGggB,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE+8D,GAAG,CAAC,WAAW/8E,GAAG,YAAY,MAAM,WAAW88E,EAAE,EAAE,SAASE,GAAGh9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE,EAAE8yD,GAAG,EAAE,MAAM,EAAE,IAAI7yD,EAAED,EAAE,IAAI2B,GAAG7B,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,MAAM,EAAE,EAAElT,GAAGuR,EAAE,GAAG,MAAMA,EAAE,GAAG,KAAK,EAAE,EAAE,EAAE,OAAO,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE,OAAO2B,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,IAAID,EAAEC,EAAE,CAAC,OAAO/B,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI+8D,GAAG,CAAC,WAAW38E,GAAG,YAAY,MAAM,WAAW08E,EAAE,EAAE,SAASE,GAAGl9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEwE,GAAG7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIi9D,GAAG,CAAC,WAAW58E,GAAG,YAAY,MAAM,WAAW28E,EAAE,EAAE,SAASE,GAAGp9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,GAAGD,EAAEA,GAAGE,CAAC,CAAC7B,EAAEwE,GAAG7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIm9D,GAAG,CAAC,WAAW78E,GAAG,YAAY,MAAM,WAAW48E,EAAE,EAAE,SAASE,GAAGt9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI,EAAE7B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEhU,EAAE,2BAA2B,SAAS,EAAEgU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE3U,EAAE,0BAA0BgU,EAAE,MAAM,CAAC,EAAEY,EAAEpE,EAAE,cAAckE,CAAC,EAAEG,EAAErE,EAAE,oBAAoBoE,EAAE,OAAO,EAAEE,EAAEtE,EAAE,cAAcmE,CAAC,EAAEqB,EAAE9D,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIyE,EAAE,EAAExE,EAAE,EAAEkB,EAAEsD,GAAG7C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEsD,EAAE5C,GAAGC,EAAE,IAAI,EAAEA,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAG/B,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAewC,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAI06D,GAAG,CAAC,WAAW98E,GAAG,YAAY,MAAM,WAAW68E,EAAE,EAAE,SAASE,GAAGx9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI,EAAE7B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,EAAE,EAAEhU,EAAE,2BAA2B,SAAS,EAAEgU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE3U,EAAE,0BAA0BgU,EAAE,MAAM,CAAC,EAAEY,EAAEpE,EAAE,cAAckE,CAAC,EAAEG,EAAErE,EAAE,oBAAoBoE,EAAE,OAAO,EAAEE,EAAEtE,EAAE,cAAcmE,CAAC,EAAEqB,EAAE9D,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIyE,EAAE,EAAExE,EAAE,EAAEkB,EAAEsD,GAAG7C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEsD,EAAE5C,GAAGC,EAAE,IAAI,EAAEA,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,GAAG4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAG/B,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAewC,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAI46D,GAAG,CAAC,WAAW/8E,GAAG,YAAY,MAAM,WAAW88E,EAAE,EAAME,GAAGlG,GAAG72E,GAAGqf,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE29D,GAAG,CAAC,WAAWh9E,GAAG,YAAY,MAAM,WAAW+8E,EAAE,EAAME,GAAGpG,GAAG52E,GAAGof,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE69D,GAAG,CAAC,WAAWj9E,GAAG,YAAY,MAAM,WAAWg9E,EAAE,EAAME,GAAGtG,GAAG32E,GAAGmf,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE+9D,GAAG,CAAC,WAAWl9E,GAAG,YAAY,MAAM,WAAWi9E,EAAE,EAAME,GAAGxH,GAAG,CAACx2D,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEi+D,GAAG/G,GAAGp2E,GAAGk9E,EAAE,EAAEE,GAAG,CAAC,WAAWp9E,GAAG,YAAY,MAAM,WAAWm9E,EAAE,EAAME,GAAG3G,GAAGz2E,GAAGif,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEo+D,GAAG,CAAC,WAAWr9E,GAAG,YAAY,MAAM,WAAWo9E,EAAE,EAAE,SAASE,GAAGr+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,aAAa0B,EAAE1B,EAAE,YAAY2B,EAAE3B,EAAE,eAAe4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,sBAAsBsC,EAAEtC,EAAE,qBAAqBuC,EAAEvC,EAAE,QAAQ,IAAIwC,EAAExC,EAAE,QAAQ,KAAKyC,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBkB,EAAEnV,GAAGwR,EAAE,SAASH,CAAC,EAAE,EAAE8D,EAAE,OAAOsD,EAAEjH,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAG,EAAEA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGoE,EAAEpE,EAAE,SAAS,GAAG,QAAQqE,EAAE,EAAEA,EAAErE,EAAE,UAAU,EAAEqE,EAAE,CAAC,IAAIC,EAAED,EAAE4C,EAAE1C,EAAEF,EAAEtE,EAAE,GAAG,QAAQyE,EAAE,EAAEA,EAAExE,EAAE,WAAW,EAAEwE,EAAE,QAAQE,EAAE,EAAEA,EAAE1E,EAAE,UAAU,EAAE0E,EAAE,CAAC,IAAIwC,EAAExC,EAAE,EAAEnC,EAAEoC,EAAE,KAAK,IAAI,EAAEuC,CAAC,EAAEtC,EAAE,KAAK,IAAI5E,EAAE,SAASqC,EAAE6E,CAAC,EAAErC,EAAEP,EAAEI,EAAE,EAAE,QAAQI,EAAE,EAAEA,EAAE9E,EAAE,SAAS,EAAE8E,EAAE,CAAC,IAAIC,EAAED,EAAEpD,EAAEc,EAAEwC,EAAE,KAAK,IAAI,EAAED,CAAC,EAAE4C,EAAE,KAAK,IAAI3H,EAAE,QAAQsC,EAAEyC,CAAC,EAAEqC,EAAE3E,EAAEmF,EAAE,EAAEC,EAAG,EAAE,QAAQE,GAAGpD,EAAEoD,GAAGnD,EAAEmD,IAAIpG,EAAE,CAAC,IAAIqG,GAAGzD,EAAEwD,GAAGhI,EAAE,GAAG,QAAQkI,GAAGjD,EAAEiD,GAAGN,EAAEM,IAAIrG,EAAE,CAAC,IAAIyE,GAAG2B,GAAGC,GAAGlI,EAAE,GAAGoI,GAAGxI,EAAE0G,GAAG7B,GAAG,IAAI,OAAO2D,GAAGf,EAAEA,EAAEe,GAAG,IAAI,QAAQP,GAAGO,GAAGN,IAAK,CAAC,GAAG,MAAMT,CAAC,EAAE,KAAK,CAAC,IAAIU,EAAGjD,EAAEC,EAAEV,EAAEI,EAAE,EAAEsD,GAAI,IAAI,MAAMF,EAAEC,EAAGT,CAAC,CAAC,CAAC,CAAC,OAAOzD,CAAC,CAAC,SAASs6D,GAAGt+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAExR,GAAGuR,EAAE,SAAS,OAAO,EAAE2B,EAAE3B,EAAE,aAAa4B,EAAE5B,EAAE,YAAY6B,EAAE7B,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,sBAAsBwC,EAAExC,EAAE,qBAAqByC,EAAEzC,EAAE,QAAQ,IAAI0C,EAAE1C,EAAE,QAAQ,KAAK4D,EAAEnV,GAAG,EAAEqR,EAAEF,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEI,EAAE,UAAU,EAAE,EAAE,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,WAAW,EAAEkH,EAAE,QAAQ,EAAE,EAAE,EAAElH,EAAE,UAAU,EAAE,EAAE,CAAC,IAAIqE,EAAE,EAAE1C,EAAEc,EAAE6B,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGzC,EAAE,IAAI0C,EAAE,KAAK,IAAIvE,EAAE,SAASuC,EAAE8B,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAExE,EAAE,SAAS,EAAEwE,EAAE,CAAC,IAAIC,EAAED,EAAE5C,EAAEc,EAAEiC,EAAEF,EAAE,KAAKE,EAAE,GAAGA,GAAGrC,EAAE,IAAI6E,EAAE,KAAK,IAAInH,EAAE,QAAQwC,EAAEiC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAER,EAAEQ,EAAEP,EAAEO,GAAGjD,EAAE,CAAC,IAAIkD,EAAED,EAAET,EAAE,QAAQW,EAAEL,EAAEK,EAAEmC,EAAEnC,GAAG1C,EAAE,CAAC,IAAI2C,EAAED,EAAEP,EAAEmD,EAAEhE,EAAE,IAAI,EAAEkB,EAAEE,EAAEkC,CAAC,EAAEU,EAAEhD,IAAIA,EAAEgD,EAAE3H,EAAE4E,EAAE,IAAI,EAAE7E,EAAE,SAAS8E,GAAG9E,EAAE,QAAQgF,GAAGhF,EAAE,WAAWkH,GAAGpC,EAAE9E,EAAE,QAAQgF,GAAGhF,EAAE,WAAWkH,EAAErC,EAAEE,EAAEvC,EAAEyC,EAAE,CAAC,CAAC,EAAE,IAAIJ,EAAE,EAAE,EAAEL,EAAE0C,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASi3D,GAAGv+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY0B,EAAE1B,EAAE,aAAa2B,EAAE3B,EAAE,YAAY4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,qBAAqBwC,EAAExC,EAAE,sBAAsByC,EAAEzC,EAAE,qBAAqB2D,EAAE3D,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIiH,EAAEjH,EAAE,QAAQ,KAAK,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBoE,EAAE5V,GAAGwR,EAAE,SAASH,CAAC,EAAEwE,EAAED,EAAE,OAAOE,EAAEtE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGuE,EAAEvE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGwE,EAAExE,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAG0E,EAAE1E,EAAE,SAAS,GAAG,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,UAAU,EAAEkH,EAAE,CAAC,IAAIvC,EAAEuC,EAAE5C,EAAEM,EAAEsC,EAAEnH,EAAE,GAAG,QAAQ8E,EAAE,EAAEA,EAAE7E,EAAE,WAAW,EAAE6E,EAAE,QAAQC,EAAE,EAAEA,EAAE9E,EAAE,SAAS,EAAE8E,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAEnB,EAAEqB,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGpD,EAAE,IAAI+F,EAAE,KAAK,IAAI3H,EAAE,QAAQuC,EAAEwC,CAAC,EAAEqC,EAAEzC,EAAEG,EAAEP,EAAE,QAAQqD,EAAE,EAAEA,EAAE5H,EAAE,UAAU,EAAE4H,EAAE,CAAC,IAAIC,EAAGD,EAAElG,EAAE,EAAEoG,EAAGD,EAAG,KAAKC,EAAG,GAAGA,GAAIzF,EAAE,IAAI0F,GAAG,KAAK,IAAI/H,EAAE,SAASwC,EAAEqF,CAAE,EAAEG,GAAGZ,EAAEQ,EAAEpD,EAAE,QAAQyD,GAAG,EAAEA,GAAGjI,EAAE,SAAS,EAAEiI,GAAG,CAAC,IAAI5B,GAAG4B,GAAGtG,EAAEsF,EAAEkB,GAAG9B,GAAG,KAAK8B,GAAG,GAAGA,IAAI7F,EAAE,IAAI8F,GAAG,KAAK,IAAIpI,EAAE,QAAQyC,EAAE4D,EAAE,EAAEgC,GAAGL,GAAGC,GAAGvD,EAAE4D,GAAG,EAAEC,GAAG,EAAEC,GAAG,EAAE,QAAQM,GAAG9D,EAAE8D,GAAGnB,EAAEmB,IAAIlH,EAAE,CAAC,IAAImH,GAAGnE,EAAEkE,GAAG/I,EAAE,GAAG,QAAQuG,GAAGwB,EAAGxB,GAAGyB,GAAGzB,IAAIjE,EAAE,CAAC,IAAImE,GAAGuC,GAAGzC,GAAGvG,EAAE,GAAG,QAAQ0G,GAAG0B,GAAG1B,GAAG2B,GAAG3B,IAAInE,EAAE,CAAC,IAAIoE,GAAGF,GAAGC,GAAG1G,EAAE,GAAGiJ,GAAGrJ,EAAE+G,GAAG7B,GAAG,GAAG,IAAI,OAAOmE,GAAGV,GAAGA,GAAGU,GAAG,IAAI,QAAQT,IAAIS,GAAGR,MAAM,MAAMF,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,IAAIO,GAAGR,GAAGxD,EAAER,EAAEwE,IAAI,IAAI,MAAMN,GAAG,KAAK,IAAIC,GAAG,CAAC,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOlE,CAAC,CAAC,SAAS+5D,GAAGx+D,EAAE,EAAE,CAAC,IAAIE,EAAErR,GAAG,EAAE,SAAS,OAAO,EAAEuR,EAAE,EAAE,YAAYC,EAAE,EAAE,aAAa,EAAE,EAAE,YAAY,EAAE,EAAE,cAAc0B,EAAE,EAAE,eAAeC,EAAE,EAAE,cAAcC,EAAE,EAAE,qBAAqBS,EAAE,EAAE,sBAAsBC,EAAE,EAAE,qBAAqBC,EAAE,EAAE,QAAQ,MAAMC,EAAE,EAAE,QAAQ,IAAIC,EAAE,EAAE,QAAQ,KAAK,QAAQkB,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,WAAW,EAAE,EAAE,QAAQsD,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAI,EAAEA,EAAElH,EAAEwC,EAAE6B,EAAE,EAAE,KAAKA,EAAE,GAAGA,GAAG,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,QAAQzC,EAAE,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEtE,EAAEwC,EAAEgC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAG9C,EAAE,IAAIgD,EAAE,KAAK,IAAI,EAAE,SAASrC,EAAEkC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIvC,EAAEuC,EAAE,EAAEzE,EAAEmC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGjD,EAAE,IAAIkD,EAAE,KAAK,IAAI,EAAE,QAAQvC,EAAEqC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEZ,EAAEY,EAAEX,EAAEW,GAAG,EAAE,CAAC,IAAI2C,EAAE3C,EAAE,EAAE,QAAQoC,EAAE5C,EAAE4C,EAAE1C,EAAE0C,GAAG1F,EAAE,CAAC,IAAIkG,EAAER,EAAE7C,EAAE,QAAQsD,EAAGjD,EAAEiD,EAAGhD,EAAEgD,GAAIlG,EAAE,CAAC,IAAImG,EAAGD,EAAGlD,EAAEoD,GAAGpI,EAAE,IAAIgE,EAAEqB,EAAEoC,EAAES,EAAG,CAAC,EAAEE,IAAIjD,IAAIA,EAAEiD,GAAGhD,EAAE4C,EAAEtF,EAAEC,EAAEsF,EAAEvF,EAAEyF,EAAG,CAAC,CAAC,CAACjI,EAAE,IAAIkF,EAAEpB,EAAEsD,EAAE3C,EAAE4C,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOrH,CAAC,CAAC,SAASu+D,GAAGz+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE6yD,GAAG7yD,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEi0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEu7D,GAAGz7D,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAEzC,EAAE,eAAewC,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI+7D,GAAG,CAAC,WAAW19E,GAAG,YAAY,MAAM,WAAWy9E,EAAE,EAAE,SAASE,GAAG3+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAE27D,GAAG57D,EAAEtC,EAAE,MAAMA,EAAE,MAAM7B,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAOxC,EAAE,eAAe0C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIg8D,GAAG,CAAC,WAAW39E,GAAG,YAAY,MAAM,WAAW09E,EAAE,EAAE,SAASE,GAAG7+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM,EAAE+T,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,aAAa,EAAEA,EAAE,YAAY4E,EAAE5E,EAAE,cAAc,EAAEA,EAAE,eAAe+B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,sBAAsBkC,EAAElC,EAAE,qBAAqBmC,EAAEH,EAAE,EAAEhC,EAAE,QAAQ,MAAMqC,EAAEH,EAAE,EAAElC,EAAE,QAAQ,KAAK6E,EAAE5C,EAAE,EAAEjC,EAAE,QAAQ,IAAIsC,EAAEnW,GAAG,EAAE,MAAM,SAAS,EAAEoW,EAAE,GAAGnC,EAAEkB,EAAE,GAAGkB,EAAEhF,EAAE,WAAWG,CAAC,EAAE,QAAQ8E,EAAE,EAAEA,EAAEzC,EAAE,UAAU,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,WAAW,EAAE0C,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,QAAQ,EAAE2C,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAE,SAAS,EAAEsF,EAAE,QAAQP,EAAE,EAAEA,EAAE/E,EAAE,QAAQ,EAAE+E,EAAE,CAAC,IAAIQ,EAAE5C,EAAER,EAAEqD,EAAGF,EAAET,EAAEY,EAAGV,EAAE1C,EAAEqD,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIf,EAAE,CAAC,IAAIgB,IAAIL,EAAEI,IAAI1F,EAAE,GAAG,EAAE2F,GAAG,GAAGA,IAAI5F,EAAE,UAAU,KAAK,MAAM4F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG/B,EAAE+B,IAAI,EAAE,CAAC,IAAI8B,IAAIN,EAAGxB,IAAI9D,EAAE,GAAG,EAAE4F,GAAG,GAAGA,IAAI9F,EAAE,WAAW,KAAK,MAAM8F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG7D,EAAE6D,IAAIhE,EAAE,CAAC,IAAIiE,IAAIP,EAAGM,IAAI5F,EAAE,GAAG6F,GAAG,GAAGA,IAAIhG,EAAE,UAAU,KAAK,MAAMgG,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAGzD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEgD,IAAIO,EAAE,CAAC,CAAC,CAAC3D,EAAE,IAAIoD,GAAGnD,EAAEE,EAAEE,EAAE2C,EAAEP,EAAErC,CAAC,CAAC,CAAC,OAAOlF,EAAE,eAAe8E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI85D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAE,SAASE,GAAG/+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE6yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,aAAaI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,eAAe,EAAEA,EAAE,cAAc4E,EAAE5E,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB+B,EAAE,EAAE,EAAE/B,EAAE,QAAQ,KAAKgC,EAAE4C,EAAE,EAAE5E,EAAE,QAAQ,IAAIiC,EAAE9V,GAAG,EAAE,MAAM,SAAS,EAAE+V,EAAE,GAAG/B,EAAEC,GAAG+B,EAAE3E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0E,EAAElW,GAAGwR,EAAE,MAAM,UAAUwE,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE7E,EAAE,UAAU,EAAE6E,EAAE,QAAQvC,EAAE,EAAEA,EAAEtC,EAAE,WAAW,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,SAAS,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,QAAQ,EAAEwC,EAAE,CAAC,IAAIC,EAAEF,EAAEP,EAAEU,EAAEF,EAAET,EAAEY,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAEU,GAAGhE,EAAE,CAAC,IAAIyD,GAAGtC,EAAE6C,GAAGrF,EAAE,GAAG,EAAE8E,EAAE,GAAGA,GAAG/E,EAAE,WAAW,KAAK,MAAM+E,CAAC,IAAIA,GAAG,QAAQQ,EAAE,EAAEA,EAAE,EAAEA,GAAG,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAGrF,EAAE,GAAGsF,EAAG,GAAGA,GAAIxF,EAAE,UAAU,KAAK,MAAMwF,CAAE,IAAIA,EAAG,SAAS,IAAIC,EAAGpD,EAAE,IAAIwC,EAAEE,EAAES,EAAGlD,CAAC,EAAEK,GAAG8C,CAAE,CAAC,CAACxD,EAAE,IAAIU,EAAET,EAAE2C,EAAEtC,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO9E,EAAE,eAAeyE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIq6D,GAAG,CAAC,WAAW79E,GAAG,YAAY,MAAM,WAAW49E,EAAE,EAAE,SAASE,GAAGj/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,MAAM,EAAE,OAAO,EAAE,KAAK0B,EAAE,SAASC,CAAC,EAAE,EAAExD,EAAE,OAAOuD,EAAE,MAAM,SAASC,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAExD,EAAE,OAAO,GAAG,MAAMuD,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAEvD,EAAE,OAAO,GAAG,MAAMuD,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAEmxD,GAAG,CAAC7yD,EAAE0B,EAAEC,EAAE,EAAE,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE7B,EAAE6B,GAAG,OAAOA,EAAE,MAAM,IAAIS,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOa,EAAE1C,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAOa,EAAE,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE4C,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE8D,EAAE,IAAI,aAAatB,EAAE,MAAM,EAAE,EAAEI,EAAE,OAAOwE,EAAEzE,EAAE,OAAO,EAAED,EAAE,OAAO6B,EAAE9B,EAAE,OAAO+B,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAErC,EAAE,OAAO,EAAEqC,EAAEf,EAAEe,GAAGjC,EAAE4B,MAAMhC,EAAEqC,GAAGpC,EAAEgC,MAAM9B,EAAE+B,KAAK,KAAK,KAAKhC,EAAEiC,KAAK5C,CAAC,EAAEyC,GAAG,IAAIA,EAAE,GAAGC,GAAGF,IAAIE,EAAE,GAAGC,GAAG0C,IAAI1C,EAAE,GAAGC,GAAG,IAAIA,EAAE,GAAG,OAAO3E,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIk7D,GAAG,CAAC,WAAWz6E,GAAG,YAAY,MAAM,WAAWw6E,EAAE,EAAE,SAASE,GAAGn/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAEy5D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAE22D,GAAG,CAAC,OAAO,CAAC,EAAE52D,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE+B,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAEm4D,GAAG,CAAC,OAAO,CAAC,EAAE72D,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIo7D,GAAG,CAAC,WAAW99E,GAAG,YAAY,MAAM,WAAW69E,EAAE,EAAE,SAASE,GAAGr/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAEsxD,GAAGxxD,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM+B,CAAC,CAAC,CAAC,IAAIq9D,GAAG,CAAC,WAAW/9E,GAAG,YAAY,MAAM,WAAW89E,EAAE,EAAE,SAASE,GAAGv/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE/T,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOkS,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIy9D,GAAG,CAAC,WAAWh+E,GAAG,YAAY,MAAM,WAAW+9E,EAAE,EAAME,GAAGjI,GAAG11E,GAAG,CAACke,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAOF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,CAAC,CAAC,EAAE0/D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAME,GAAG3/D,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQI,EAAE,IAAI,aAAa5B,EAAE,cAAc,EAAE,KAAK,CAAC,EAAE6B,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,EAAEG,EAAE,mBAAmB,KAAK,EAAEA,EAAE,mBAAmB,KAAK0B,EAAE7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ+B,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIS,EAAEX,EAAEE,GAAGU,EAAEX,EAAEC,GAAG7B,EAAE6B,GAAG,KAAK,MAAMS,EAAEC,CAAC,CAAC,CAAC,OAAOzC,EAAE,WAAWE,EAAE,EAAE,MAAM,SAAS,CAAC,EAAEw/D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAE,SAASE,GAAG7/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,OAAOH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIy/D,GAAG,CAAC,WAAWz6E,GAAG,YAAY,MAAM,WAAWw6E,EAAE,EAAE,SAASE,GAAG//D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe6B,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI2D,GAAGA,EAAE,KAAK,EAAEhW,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAI+T,EAAE/T,EAAE,gBAAgB,EAAE,IAAIgW,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGxF,EAAE,cAAcuD,CAAC,IAAI,EAAE,OAAO7B,EAAE,eAAe6B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOgC,GAAGxF,EAAE,cAAcwF,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGhC,EAAE,SAAS,EAAE,OAAO40D,GAAG,CAAC,OAAO,CAAC,EAAE50D,EAAE,EAAE,EAAE,QAAQ9B,CAAC,CAAC,EAAE,GAAG8B,EAAE,GAAG,QAAQ,YAAY,CAAC,IAAIgC,EAAEhC,EAAE,IAAI0C,GAAGoyD,GAAG,CAAC,OAAO,CAAC,MAAMpyD,CAAC,EAAE,QAAQxE,CAAC,CAAC,CAAC,EAAE,EAAE8B,EAAE,IAAI0C,GAAGm7D,GAAG,CAAC,OAAO,CAAC,MAAMn7D,CAAC,EAAE,QAAQxE,CAAC,CAAC,CAAC,EAAEoH,EAAEy4D,GAAG,CAAC,OAAO/7D,EAAE,QAAQ9D,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE6/D,GAAG,CAAC,OAAO,EAAE,QAAQ7/D,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAEuE,EAAEgyD,GAAG,CAAC,OAAO,CAAC,KAAKnvD,EAAE,KAAK,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE,OAAO8D,EAAE,QAAQU,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAE,EAAE,QAAQA,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAExE,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B,CAAC,EAAEuE,CAAC,CAAC,IAAIxC,EAAED,EAAE,IAAIgC,GAAG,CAAC,IAAIsD,EAAE,CAAC,GAAG9I,EAAE,cAAcwF,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOs4D,GAAG,CAAC,OAAO,CAAC,EAAEt4D,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE5E,EAAET,EAAE,IAAI+B,IAAI,CAAC,KAAK9D,EAAE,KAAK,IAAI8D,EAAE,MAAM,EAAE,OAAO,MAAMA,EAAE,KAAK,EAAE,EAAEjC,EAAE/T,EAAE,gBAAgBiU,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIrB,EAAEV,EAAE,GAAG,MAAM,KAAK,EAAEW,EAAE+wD,GAAGjxD,EAAEX,EAAE,EAAE,GAAG,MAAMY,CAAC,EAAEE,EAAE7U,EAAE,gBAAgBgU,EAAE,IAAIgC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAElB,EAAE5C,EAAE,eAAe2C,EAAE,EAAE,GAAG,MAAMD,CAAC,EAAE,OAAOX,EAAE,QAAQ+B,GAAG9D,EAAE,8BAA8B8D,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIk9D,GAAG,CAAC,WAAW/9E,GAAG,YAAY,MAAM,WAAW89E,EAAE,EAAE,SAASE,GAAGjgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAIsC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYoB,EAAEpB,EAAE,eAAe,EAAEA,EAAE,cAAc0E,EAAE1E,EAAE,QAAQ,KAAK,EAAEA,EAAE,QAAQ,IAAI6B,EAAE7B,EAAE,aAAa,eAAe8B,EAAE,IAAIvY,GAAGyW,EAAE,SAASvC,EAAE,KAAK,EAAEsE,EAAEnG,EAAE,eAAe6B,EAAE,KAAK,EAAEuE,EAAEpG,EAAE,eAAe,EAAE,KAAK,EAAEqG,EAAEF,EAAE,GAAGI,EAAEN,EAAEE,EAAE,GAAGA,EAAE,GAAG4C,EAAE9C,EAAEE,EAAE,GAAG,EAAEK,EAAEP,EAAE,EAAEE,EAAE,GAAGM,EAAEP,EAAE,QAAQ,GAAGQ,EAAET,EAAEC,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGS,EAAEV,EAAEC,EAAE,QAAQ,GAAG,EAAEU,EAAEX,EAAE,EAAEC,EAAE,QAAQ,GAAGW,EAAEnF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2H,EAAE9H,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuH,EAAE/C,EAAE,OAAO,QAAQuD,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,CAAC,IAAIC,EAAGD,EAAEpD,EAAEsD,EAAGF,EAAEhD,EAAE,QAAQmD,GAAG,EAAEA,GAAGxF,EAAE,UAAU,EAAEwF,GAAG,CAAC,IAAIC,GAAGF,EAAGC,GAAGlD,EAAEoD,GAAGF,GAAGxF,EAAE,aAAa,EAAE,QAAQ8D,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAI8B,GAAGF,GAAG5B,GAAG1C,EAAE,GAAGwE,GAAG,GAAGA,IAAI5F,EAAE,SAAS,SAAS,IAAI6F,GAAG/B,GAAG9B,EAAE,GAAG8D,GAAGR,EAAGM,GAAGzD,EAAE,QAAQ4D,GAAG,EAAEA,GAAG/F,EAAE,SAAS,EAAE+F,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxD,EAAE0D,GAAGF,GAAG/F,EAAE,YAAY0E,EAAE,QAAQ4B,GAAG,EAAEA,GAAGpG,EAAE,EAAEoG,GAAG,CAAC,IAAIC,GAAGN,GAAGK,GAAG,EAAE,GAAGC,GAAG,GAAGA,IAAIvG,EAAE,QAAQ,SAAS,IAAIwG,GAAGX,GAAGS,GAAGtE,EAAE,GAAG+B,GAAG+B,GAAGS,GAAG5B,EAAEV,GAAGuC,GAAG,QAAQtC,GAAG,EAAEA,GAAGlE,EAAE,WAAW,EAAEkE,GAAG,CAAC,IAAIC,GAAG1B,EAAEsB,GAAGG,GAAG9B,GAAG,QAAQqE,GAAG,EAAEA,GAAGzG,EAAE,YAAY,EAAEyG,GAAG5B,EAAEmB,GAAGS,GAAGjE,IAAI2B,GAAGiB,EAAEnB,GAAGwC,IAAIxC,IAAIjE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,eAAewE,EAAE,MAAMA,EAAE,MAAM+C,CAAC,CAAC,CAAC,IAAIy4D,GAAG,CAAC,WAAWh+E,GAAG,YAAY,MAAM,WAAW+9E,EAAE,EAAE,SAASE,GAAGngE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,sBAAsB,EAAE,IAAIsC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAE,CAAC,aAAaE,EAAE,YAAYC,EAAE,aAAakB,EAAE,YAAY,CAAC,EAAEpB,EAAE0E,EAAE1E,EAAE,aAAa,eAAe,EAAE,IAAIzW,GAAGyW,EAAE,YAAY,SAAS,EAAE6B,EAAE7B,EAAE,QAAQ,KAAK8B,EAAE9B,EAAE,QAAQ,IAAI+B,EAAEzE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAE,IAAI1Y,GAAGkU,EAAE,MAAMA,EAAE,MAAMsE,CAAC,EAAEI,EAAE,IAAI5Y,GAAG,EAAE,MAAM,EAAE,MAAMyY,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvD,EAAE,EAAEuD,EAAE,CAAC,IAAIvC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAE6C,GAAG1E,CAAC,CAAC,EAAEoC,EAAE,KAAK,IAAIrC,EAAE,WAAWA,EAAE,SAAS8B,EAAE6C,GAAG1E,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMV,EAAES,GAAGpC,CAAC,CAAC,EAAEsC,EAAE,KAAK,IAAIxC,EAAE,UAAUA,EAAE,QAAQ6B,EAAES,GAAGpC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAEzC,EAAE,WAAW,EAAEyC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEpF,EAAE,YAAY,EAAEoF,EAAE,CAAC,IAAIP,EAAE,EAAE,QAAQQ,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,QAAQC,EAAGlD,EAAEkD,EAAGjD,EAAE,EAAEiD,EAAG,CAAC,IAAIC,EAAGZ,EAAEW,EAAGrF,EAAE6B,EAAE,QAAQ0D,GAAGjD,EAAEiD,GAAGhD,EAAE,EAAEgD,GAAG,CAAC,IAAIC,GAAGnD,EAAEkD,GAAGtF,EAAE2B,EAAE6C,EAAEG,GAAG5C,EAAE,IAAIoD,EAAEE,EAAGE,GAAGhD,CAAC,EAAEN,EAAE,IAAIkD,EAAEC,EAAGE,GAAGJ,CAAC,EAAEP,GAAG5C,EAAE,IAAIoD,EAAE5C,EAAE8C,EAAGE,EAAE,EAAEtD,EAAE,IAAIkD,EAAED,EAAEE,EAAGE,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAEF,EAAErC,EAAEG,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO9H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIkgE,GAAG,CAAC,WAAWj+E,GAAG,YAAY,MAAM,WAAWg+E,EAAE,EAAE,SAASE,GAAGrgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,qBAAqB,EAAE,IAAIsC,EAAEnE,EAAE,eAAe,EAAE,KAAK,EAAEoE,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,EAAEwC,EAAE7U,EAAE,wBAAwBiU,CAAC,EAAEa,EAAE9U,EAAE,kBAAkB,EAAE,EAAE,MAAM+T,EAAE,EAAEC,EAAEU,EAAE,GAAGG,CAAC,EAAEmB,EAAE,IAAI7X,GAAG2W,EAAE,QAAQ,SAAS,EAAE,EAAEkB,EAAE,OAAOsD,EAAEpH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACuE,EAAEC,EAAEC,CAAC,EAAEhC,EAAE,CAAC,UAAUiC,EAAE,aAAaC,EAAE,YAAYE,EAAE,WAAWwC,EAAE,SAASvC,EAAE,QAAQC,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAY2C,CAAC,EAAElF,EAAED,EAAEC,EAAE,WAAW,IAAI2E,EAAE5C,EAAE,EAAE/B,EAAE,QAAQ,IAAImF,EAAElD,EAAE,EAAEjC,EAAE,QAAQ,KAAKoF,EAAGrF,IAAI,eAAesF,EAAGnE,EAAE,QAAQ,GAAGoE,GAAGF,EAAGlE,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAGqE,GAAGH,EAAGlE,EAAE,QAAQ,GAAG,EAAEsE,GAAGJ,EAAG,EAAElE,EAAE,QAAQ,GAAG0C,GAAG9D,EAAE,GAAG4F,GAAGN,EAAGtF,EAAE,GAAGA,EAAE,GAAG6F,GAAGP,EAAGtF,EAAE,GAAG,EAAE8F,GAAGR,EAAG,EAAEtF,EAAE,GAAG,QAAQ+F,GAAG,EAAEA,GAAG/D,EAAE,EAAE+D,GAAG,QAAQC,GAAG,EAAEA,GAAGrB,EAAE,EAAEqB,GAAG,QAAQC,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAIK,GAAGL,GAAGpB,EAAE0B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAG7D,CAAC,CAAC,EAAE+D,GAAG,KAAK,IAAIjE,GAAGN,EAAEqE,IAAI7D,CAAC,EAAE,QAAQsB,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIE,GAAGF,GAAGsB,EAAEnB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGmB,CAAC,CAAC,EAAEjB,GAAG,KAAK,IAAI3B,GAAGL,EAAE8B,IAAImB,CAAC,EAAEqB,GAAG,EAAE,QAAQpC,GAAGkC,GAAGlC,GAAGmC,GAAG,EAAEnC,GAAG,CAAC,IAAIC,GAAGD,GAAG5B,EAAE6D,GAAG,QAAQ/B,GAAGL,GAAGK,GAAGJ,GAAG,EAAEI,GAAG,CAAC,IAAIP,GAAGO,GAAGa,EAAEnB,GAAGyC,GAAG5C,GAAGiC,GAAGH,GAAGvB,GAAGwB,GAAGtB,GAAGoC,GAAG9E,GAAGI,EAAE,EAAEqC,IAAIxC,GAAGK,EAAE,EAAE6B,IAAIjC,EAAEiE,GAAG,QAAQY,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAIC,GAAGnC,EAAEgC,GAAGZ,GAAGc,IAAIE,GAAG,EAAEH,GAAGC,IAAIH,IAAII,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAI1C,GAAGmB,EAAGQ,GAAGP,GAAGS,GAAGR,GAAG1B,GAAG2B,GAAGM,GAAG,EAAE5B,IAAIqC,EAAE,CAAC,CAAC,OAAOnJ,EAAE,eAAe8D,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIs8D,GAAG,CAAC,WAAWl+E,GAAG,YAAY,MAAM,WAAWi+E,EAAE,EAAE,SAASE,GAAGvgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI4B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAE,CAAC,YAAYW,EAAE,aAAaC,EAAE,YAAYC,EAAE,cAAcC,EAAE,eAAeC,EAAE,cAAckB,EAAE,QAAQ,CAAC,EAAE/B,EAAEqF,EAAE,EAAE,MAAM,EAAE,EAAE,KAAK7C,EAAE,EAAE,IAAIC,EAAE,IAAIvY,GAAG8V,EAAE,SAAS5B,EAAE,KAAK,EAAEsE,EAAEzE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAEH,EAAE,OAAOK,EAAEvG,EAAE,eAAe6B,EAAE,KAAK,EAAEkH,EAAE/I,EAAE,eAAe,EAAE,KAAK,EAAE,QAAQwG,EAAE,EAAEA,EAAE/C,EAAE,UAAU,EAAE+C,EAAE,CAAC,IAAIC,EAAED,EAAED,EAAE,GAAGG,EAAEF,EAAEN,EAAE,QAAQ,GAAG,QAAQS,EAAE,EAAEA,EAAElD,EAAE,SAAS,EAAEkD,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAET,EAAE,QAAQ,GAAGW,EAAEF,EAAElD,EAAE,YAAYqF,EAAE,QAAQU,EAAE,EAAEA,EAAEtF,EAAE,EAAEsF,EAAE,CAAC,IAAIP,EAAEpC,EAAE2C,EAAEnF,EAAE,GAAG4E,EAAE,GAAGA,GAAGxF,EAAE,QAAQ,SAAS,IAAIgG,EAAED,EAAET,EAAE,GAAGW,EAAGjD,EAAEwC,EAAE1C,EAAE,GAAG,QAAQoD,EAAG,EAAEA,EAAGlG,EAAE,UAAU,EAAEkG,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGzD,EAAE,QAAQ,GAAG2D,GAAGF,EAAGlG,EAAE,aAAawC,EAAE,QAAQ6D,GAAG,EAAEA,GAAG3F,EAAE,EAAE2F,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGxF,EAAE,GAAG4D,GAAG,GAAGA,IAAIzE,EAAE,SAAS,SAAS,IAAIuG,GAAGP,EAAEK,GAAGf,EAAE,GAAGkB,GAAGP,EAAGxB,GAAG3B,EAAE,GAAG,QAAQ2D,GAAG,EAAEA,GAAGzG,EAAE,SAAS,EAAEyG,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGzG,EAAE,YAAY2G,GAAGF,GAAGzG,EAAE,YAAY,EAAE,QAAQ4G,GAAG,EAAEA,GAAGjG,EAAE,EAAEiG,GAAG,CAAC,IAAIK,GAAGN,GAAGC,GAAG7E,EAAE,GAAGkF,GAAG,GAAGA,IAAIjH,EAAE,QAAQ,SAAS,IAAIkH,GAAGX,GAAGK,GAAGtB,EAAE,GAAG6B,GAAGX,GAAGS,GAAGjH,EAAE,WAAW0E,GAAGwC,GAAG,QAAQtC,GAAG,EAAEA,GAAG5E,EAAE,WAAW,EAAE4E,GAAG,CAAC,IAAIC,GAAGnC,EAAEyE,GAAGvC,IAAI,QAAQE,GAAG,EAAEA,GAAG9E,EAAE,YAAY,EAAE8E,GAAGlC,EAAE8D,GAAG5B,KAAKD,GAAGlC,EAAE+B,GAAGI,IAAIJ,IAAI1E,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/B,EAAE,eAAewE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI87D,GAAG,CAAC,WAAWn+E,GAAG,YAAY,MAAM,WAAWk+E,EAAE,EAAE,SAASE,GAAGzgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,wBAAwB,EAAE,IAAI4B,EAAEzD,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEa,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYqB,EAAErB,EAAE,YAAY,EAAEA,EAAE,aAAa2E,EAAE3E,EAAE,YAAY,EAAE,IAAIxW,GAAGwW,EAAE,YAAY,SAAS,EAAE8B,EAAE,EAAE,OAAO,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE,EAAE,QAAQE,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACqH,EAAEvC,EAAEC,EAAEC,CAAC,EAAExC,EAAEyC,EAAEjF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC+E,EAAEC,EAAE2C,EAAEP,CAAC,EAAExF,EAAEgG,EAAEtF,EAAE,QAAQ,MAAMuF,EAAGvF,EAAE,QAAQ,KAAKwF,EAAGxF,EAAE,QAAQ,IAAI,QAAQyF,GAAG,EAAEA,GAAGpE,EAAE,EAAEoE,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMJ,EAAEG,IAAIxF,CAAC,CAAC,EAAE0F,GAAG,KAAK,IAAI3F,EAAE,UAAUA,EAAE,QAAQsF,EAAEG,IAAIxF,CAAC,EAAE8D,GAAG0B,GAAG1D,EAAE,QAAQ8D,GAAG,EAAEA,GAAG,EAAE,EAAEA,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAGK,IAAI3F,CAAC,CAAC,EAAE6F,GAAG,KAAK,IAAI/F,EAAE,WAAWA,EAAE,SAASwF,EAAGK,IAAI3F,CAAC,EAAE8F,GAAGH,GAAG7D,EAAE+B,GAAG,QAAQkC,GAAG,EAAEA,GAAGtB,EAAE,EAAEsB,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMX,EAAGU,IAAI9F,CAAC,CAAC,EAAEoG,GAAG,KAAK,IAAIvG,EAAE,UAAUA,EAAE,QAAQuF,EAAGU,IAAI9F,CAAC,EAAEqG,GAAGP,GAAGhE,EAAE+D,GAAG,QAAQS,GAAG,EAAEA,GAAGzG,EAAE,WAAW,EAAEyG,GAAG,CAAC,IAAIzC,GAAGyC,GAAGvE,EAAEsE,GAAG,QAAQtC,GAAG,EAAEA,GAAGlE,EAAE,YAAY,EAAEkE,GAAG,CAAC,IAAIC,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGpE,EAAE,UAAU,EAAEoE,GAAG,CAAC,IAAIsC,GAAGtC,GAAG3B,EAAE4B,GAAGD,GAAGQ,EAAE,QAAQN,GAAGoB,GAAGpB,GAAGqB,GAAG,EAAErB,GAAG,CAAC,IAAIE,IAAIiB,GAAGnB,GAAGrE,EAAEqF,GAAG5C,EAAEgE,GAAGzC,GAAGK,GAAGjC,EAAEgC,GAAG,QAAQsC,GAAGb,GAAGa,GAAGZ,GAAG,EAAEY,GAAG,CAAC,IAAIE,IAAIhB,GAAGc,GAAGzG,EAAEsF,GAAIH,EAAEb,GAAGsC,GAAGH,GAAGrE,EAAE2B,GAAG,QAAQ8C,GAAGb,GAAGa,GAAGR,GAAG,EAAEQ,GAAG,CAAC,IAAI3B,IAAIa,GAAGc,GAAG5G,EAAEoF,GAAIT,EAAE+B,GAAGI,GAAGF,GAAGxE,EAAEuE,GAAG3C,IAAI3B,EAAE4C,GAAGqB,IAAIrE,EAAE6E,GAAG/C,GAAG,CAAC,CAAC,CAAC,CAACpC,EAAEkC,GAAGE,IAAIC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO5G,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIwgE,GAAG,CAAC,WAAWp+E,GAAG,YAAY,MAAM,WAAWm+E,EAAE,EAAE,SAASE,GAAG3gE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,uBAAuB,EAAE,IAAI4B,EAAEzD,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAE3U,EAAE,kBAAkBgU,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEa,EAAE,IAAIzW,GAAGwW,EAAE,QAAQ,SAAS,EAAEE,EAAED,EAAE,OAAO,CAACE,EAAEkB,EAAE,EAAEsD,CAAC,EAAE1E,EAAE,QAAQ,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAACoE,EAAEC,EAAEC,EAAEC,CAAC,EAAE3C,EAAE4C,EAAE3E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC6E,EAAEwC,EAAEvC,EAAEC,CAAC,EAAEvC,EAAE,CAAC,UAAUwC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAW2C,EAAE,QAAQP,EAAE,SAASQ,EAAE,QAAQC,EAAG,YAAYC,EAAG,SAASC,GAAG,UAAUC,GAAG,SAASC,GAAG,YAAY5B,GAAG,aAAa8B,GAAG,YAAYC,EAAE,EAAE9F,EAAE+F,GAAGvD,EAAE,EAAExC,EAAE,QAAQ,MAAMgG,GAAGvD,EAAE,EAAEzC,EAAE,QAAQ,IAAIiG,GAAGvD,EAAE,EAAE1C,EAAE,QAAQ,KAAK,QAAQkG,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,QAAQK,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,QAAQC,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIC,GAAGD,GAAGT,GAAG/B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKyC,GAAG1C,EAAE,CAAC,EAAEG,GAAG,KAAK,IAAIuB,IAAIjD,EAAEiE,IAAI1C,EAAE,EAAE,QAAQI,GAAG,EAAEA,GAAGmB,EAAE,EAAEnB,GAAG,CAAC,IAAIC,GAAGD,GAAG6B,GAAGU,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKtC,GAAGyB,EAAE,CAAC,EAAExB,GAAG,KAAK,IAAIqB,IAAIjD,EAAE2B,IAAIyB,EAAE,EAAE,QAAQvB,GAAG,EAAEA,GAAGiB,EAAG,EAAEjB,GAAG,CAAC,IAAIC,GAAGD,GAAG2B,GAAGzB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGuB,EAAE,CAAC,EAAE7B,GAAG,KAAK,IAAI0B,IAAIjD,EAAE6B,IAAIuB,EAAE,EAAEa,GAAG,EAAE,QAAQC,GAAG5C,GAAG4C,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIC,GAAGD,GAAG7C,GAAG0C,GAAG,QAAQK,GAAGJ,GAAGI,GAAGzC,GAAG,EAAEyC,GAAG,CAAC,IAAIC,GAAGD,GAAGjB,GAAGzB,GAAG,QAAQ4C,GAAGxC,GAAGwC,GAAG/C,GAAG,EAAE+C,GAAG,CAAC,IAAI5B,GAAG4B,GAAGlB,GAAGvB,GAAG0C,GAAGnF,EAAEoE,GAAGnE,EAAE6E,GAAG5E,EAAE8E,GAAG7E,EAAE+E,GAAGI,GAAGhF,GAAGI,EAAE,EAAEqE,IAAIjC,GAAGnC,EAAE,EAAEsE,IAAI1E,GAAGK,EAAE,EAAE0C,IAAI9C,EAAEiE,GAAG,QAAQc,GAAG,EAAEA,GAAG7B,EAAG,EAAE6B,GAAG,CAAC,IAAIH,GAAG,EAAED,GAAGI,IAAIE,GAAGrF,EAAEkF,GAAGC,IAAIV,IAAIO,GAAGK,EAAE,CAAC,CAAC,CAAC,CAACrH,EAAEC,EAAE+F,GAAG7E,EAAEmF,GAAG,EAAErC,GAAGQ,EAAEL,GAAGiC,IAAII,EAAE,CAAC,CAAC,CAAC,OAAOpJ,EAAE,eAAe0C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg+D,GAAG,CAAC,WAAWr+E,GAAG,YAAY,MAAM,WAAWo+E,EAAE,EAAME,GAAGrJ,GAAGh1E,GAAGwd,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE8gE,GAAG,CAAC,WAAWt+E,GAAG,YAAY,MAAM,WAAWq+E,EAAE,EAAME,GAAGvJ,GAAG/0E,GAAGud,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEghE,GAAG,CAAC,WAAWv+E,GAAG,YAAY,MAAM,WAAWs+E,EAAE,EAAE,SAASE,GAAGjhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,EAAE,MAAM,GAAG,CAACkB,EAAE,CAAC,EAAEjC,EAAEuF,EAAEzY,GAAG,CAACiU,EAAEkB,EAAE,EAAEnB,CAAC,EAAE,SAAS,EAAE,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuE,EAAEvE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwE,EAAExE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsE,EAAEnG,EAAE,eAAe6B,EAAE,KAAK,EAAEuE,EAAEpG,EAAE,eAAe8I,EAAE,KAAK,EAAE,QAAQzC,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE0C,EAAE,EAAExC,GAAGC,EAAE,EAAED,EAAE,GAAGE,EAAE,EAAEF,EAAE,GAAGG,EAAE,EAAEH,EAAE,GAAGI,EAAEV,EAAEI,GAAG,GAAGM,GAAGzC,EAAE,SAAS,IAAI0C,EAAEpB,EAAE,GAAGiB,EAAEsC,IAAI5E,EAAE,IAAIqB,EAAE,GAAG,EAAEqB,EAAE,EAAE,GAAGH,EAAEF,IAAIpC,EAAE,IAAI,EAAE,GAAG,EAAE,QAAQoF,EAAE,EAAEA,EAAEhE,EAAEgE,IAAI,CAAC,IAAIP,EAAEzD,EAAE,EAAEuD,GAAG5E,EAAE,GAAGqF,EAAE5C,EAAE,IAAImC,EAAEtC,IAAItC,EAAE,GAAG,GAAG8E,EAAE,GAAGA,EAAE9E,EAAE,EAAE,CAAC,QAAQsF,EAAE,EAAEA,EAAE,EAAEA,IAAI,QAAQC,EAAG,EAAEA,EAAGrF,EAAEqF,IAAK,CAAC,IAAIC,EAAGD,EAAGD,EAAErD,EAAE,GAAGoD,EAAEpD,EAAE,GAAGC,EAAED,EAAE,GAAG0C,EAAE,OAAOa,GAAIlG,CAAC,CAAC,QAAQ,CAAC,GAAGD,IAAI,WAAW,CAAC,IAAIiG,EAAE,KAAK,MAAMR,CAAC,EAAES,EAAG,KAAK,KAAKT,CAAC,EAAEU,EAAGV,EAAEQ,EAAE,QAAQG,GAAG,EAAEA,GAAG,EAAEA,KAAK,CAAC,IAAIC,GAAG,EAAE,EAAErD,GAAGpC,EAAE,GAAGwF,GAAG/C,EAAE,IAAIL,EAAEE,IAAItC,EAAE,GAAG,GAAGyF,GAAG,GAAGA,GAAGzF,EAAE,EAAE,CAAC,QAAQ6F,GAAG,EAAEA,GAAG5F,EAAE4F,KAAK,CAAC,IAAIC,GAAGD,GAAGL,GAAGxD,EAAE,GAAGoD,EAAEpD,EAAE,GAAGC,EAAED,EAAE,GAAG0C,EAAE,OAAOoB,IAAIzG,CAAC,CAAC,QAAQ,CAAC,IAAIqG,GAAG,KAAK,MAAMD,EAAE,EAAE3B,GAAG,KAAK,KAAK2B,EAAE,EAAEG,GAAGH,GAAGC,GAAG,QAAQG,GAAG,EAAEA,GAAG5F,EAAE4F,KAAK,CAAC,IAAIC,GAAGD,GAAGH,GAAG3D,EAAE,GAAGsD,EAAEtD,EAAE,GAAGQ,EAAER,EAAE,GAAGgE,GAAGjE,EAAEgE,IAAIA,GAAGD,GAAG/B,GAAG/B,EAAE,GAAGsD,EAAEtD,EAAE,GAAGQ,EAAER,EAAE,GAAG,IAAIiE,GAAGlE,EAAEgE,IAAIA,GAAGD,GAAGH,GAAG3D,EAAE,GAAGuD,EAAGvD,EAAE,GAAGQ,EAAER,EAAE,GAAG,IAAIkE,GAAGnE,EAAEgE,IAAIA,GAAGD,GAAG/B,GAAG/B,EAAE,GAAGuD,EAAGvD,EAAE,GAAGQ,EAAER,EAAE,GAAG,IAAIuE,GAAGxE,EAAEgE,IAAIS,GAAGR,IAAIC,GAAGD,IAAIH,GAAGY,GAAGP,IAAIK,GAAGL,IAAIL,GAAGE,GAAGD,GAAGL,GAAGxD,EAAE,GAAGoD,EAAEpD,EAAE,GAAGC,EAAED,EAAE,GAAG0C,EAAE,OAAOoB,IAAIS,IAAIC,GAAGD,IAAIhB,CAAE,CAAC,CAAC,KAAM,SAAQF,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAG,EAAE,EAAElD,GAAGpC,EAAE,GAAGqF,EAAE5C,EAAE,IAAIL,EAAEE,IAAItC,EAAE,GAAG,GAAGsF,EAAG,GAAGA,EAAGtF,EAAE,EAAE,CAAC,QAAQyF,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAIC,GAAGD,GAAGJ,EAAErD,EAAE,GAAGoD,EAAEpD,EAAE,GAAGC,EAAED,EAAE,GAAG0C,EAAE,OAAOgB,IAAIrG,CAAC,CAAC,QAAQ,CAAC,IAAIkG,EAAG,KAAK,MAAMD,CAAE,EAAEE,GAAG,KAAK,MAAMX,CAAC,EAAE,QAAQY,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAIC,GAAGD,GAAGF,EAAGxD,EAAE,GAAGyD,GAAGzD,EAAE,GAAGQ,EAAER,EAAE,GAAG+B,GAAG2B,GAAGJ,EAAErD,EAAE,GAAGoD,EAAEpD,EAAE,GAAGC,EAAED,EAAE,GAAG0C,EAAE,OAAOZ,IAAIhC,EAAE4D,GAAG,CAAC,CAAC,CAAC,CAAC,OAAOpI,EAAE,eAAeoH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI45D,GAAG,CAAC,WAAWx+E,GAAG,YAAY,MAAM,WAAWu+E,EAAE,EAAE,SAASE,GAAGnhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,SAAS,EAAE,IAAI2B,EAAEhU,EAAE,mBAAmB,CAAC,CAAC,EAAEqS,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEw3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK8B,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE1U,EAAE,iBAAiB,EAAEqS,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAErE,GAAG2D,EAAE,MAAM,OAAO,EAAEW,EAAEpE,EAAE,mBAAmBA,EAAE,cAAcyD,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACuF,EAAE,IAAIA,EAAExE,EAAE,EAAE,EAAE,CAACwE,EAAE,IAAIA,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,GAAGxE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAI2B,EAAET,EAAEsD,EAAE,CAAC,EAAE,GAAG,IAAI,EAAE1E,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEsD,EAAE,EAAE,CAAC,EAAE1E,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAExE,EAAE,eAAe+B,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIsF,EAAEtZ,EAAE,uBAAuBgU,CAAC,EAAE,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIm/D,GAAG,CAAC,WAAWz+E,GAAG,YAAY,MAAM,WAAWw+E,EAAE,EAAE,SAASE,GAAGrhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI2B,EAAEhU,EAAE,mBAAmB,CAAC,CAAC,EAAEqS,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEw3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK8B,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE1U,EAAE,iBAAiB,EAAEqS,EAAE,MAAM,MAAM,EAAE,GAAG,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAErE,GAAG2D,EAAE,MAAM,OAAO,EAAEW,EAAEpE,EAAE,oBAAoBA,EAAE,cAAcyD,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG+B,EAAEjC,EAAE,CAACuF,EAAE,IAAIA,EAAExE,EAAE,EAAE,EAAE,CAACwE,EAAE,IAAIA,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,GAAGxE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAI2B,EAAET,EAAEsD,EAAE,CAAC,EAAE,GAAG,IAAI,EAAE1E,EAAE6B,GAAG,EAAE,EAAE5B,EAAE4B,OAAO,CAAC,IAAIC,EAAEV,EAAEsD,EAAE,EAAE,CAAC,EAAE1E,EAAE6B,GAAG,EAAE5B,EAAE6B,GAAG9B,EAAE8B,GAAG7B,EAAE4B,GAAG7B,EAAE8B,EAAE,CAAC,CAAC,IAAI,EAAExE,EAAE,eAAe+B,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIsF,EAAEtZ,EAAE,uBAAuBgU,CAAC,EAAE,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIq/D,GAAG,CAAC,WAAW1+E,GAAG,YAAY,MAAM,WAAWy+E,EAAE,EAAE,SAASE,GAAGvhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAE6wD,GAAGvxD,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO/B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMwC,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,WAAWG,CAAC,EAAE4B,EAAE/B,EAAE,WAAW,CAAC,EAAEwC,EAAE8wD,GAAGxxD,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO7B,EAAE,eAAewC,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAImhE,GAAG,CAAC,WAAWz+E,GAAG,YAAY,MAAM,WAAWw+E,EAAE,EAAE,SAASE,GAAGzhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE5B,EAAE,OAAO,IAAI,OAAO,IAAI,+DAA+D,GAAG,EAAE,IAAIuD,EAAE1B,EAAE,MAAM,GAAG2B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAErC,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE5C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2D,EAAE,IAAI,aAAajC,EAAEY,EAAEC,EAAEC,CAAC,EAAE,EAAE,EAAE,QAAQyE,EAAE,EAAEA,EAAEvF,EAAE,EAAEuF,EAAE,QAAQ,EAAE,EAAE,EAAE3E,EAAE,EAAE,EAAE,CAAC,IAAI8B,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEE,EAAEF,EAAE,EAAEI,GAAGL,EAAE,EAAEG,GAAGhC,EAAE,QAAQ0E,EAAE,EAAEA,EAAE1E,EAAE,EAAE0E,EAAE,CAAC,IAAItC,EAAEsC,EAAExC,EAAErC,GAAGkC,EAAE3C,GAAGwC,EAAEzC,EAAEsF,IAAItD,EAAE,KAAKlB,EAAEmC,EAAE,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe,CAAC6B,EAAEY,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAI09D,GAAG,CAAC,WAAW1+E,GAAG,YAAY,MAAM,WAAWy+E,EAAE,EAAE,SAASE,GAAG3hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,uBAAuB,EAAE,IAAIqC,EAAElE,EAAE,eAAe6B,EAAE,KAAK,EAAEsC,EAAEnE,EAAE,eAAe,EAAE,KAAK,EAAEoE,EAAEZ,EAAEY,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGpE,EAAE,OAAOxQ,EAAE,+BAA+B,EAAE4U,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAE7U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEb,EAAEE,EAAE,EAAE,EAAE,CAAC,aAAaa,EAAE,YAAYkB,EAAE,eAAe,EAAE,cAAcsD,EAAE,QAAQ,CAAC,EAAEzE,EAAE4B,EAAE,EAAE,KAAKC,EAAE,EAAE,IAAIC,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE,IAAIzY,GAAG0W,EAAE,SAASxC,EAAE,KAAK,EAAEwE,EAAE3E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0E,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOqH,EAAE3C,EAAE,OAAO,QAAQI,EAAE,EAAEA,EAAEnC,EAAE,UAAU,EAAEmC,EAAE,CAAC,IAAIC,EAAED,EAAEtC,EAAE,GAAGwC,EAAEF,EAAEJ,EAAE,QAAQ,GAAG,QAAQO,EAAE,EAAEA,EAAEtC,EAAE,UAAU,EAAEsC,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAEP,EAAE,QAAQ,GAAGS,EAAEF,EAAEtC,EAAE,aAAa6B,EAAE,QAAQsD,EAAE,EAAEA,EAAElF,EAAE,EAAEkF,EAAE,CAAC,IAAIP,EAAEpC,EAAE2C,EAAE,EAAE,GAAGP,EAAE,GAAGA,GAAG5E,EAAE,SAAS,SAAS,IAAIoF,EAAED,EAAErF,EAAE,GAAGuF,EAAGjD,EAAEwC,EAAE/E,EAAE,GAAG,QAAQyF,EAAG,EAAEA,EAAGtF,EAAE,SAAS,EAAEsF,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGvD,EAAE,QAAQ,GAAGyD,GAAGF,EAAGtF,EAAE,YAAY4B,EAAE,QAAQ6D,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGhB,EAAE,GAAGZ,GAAG,GAAGA,IAAI7D,EAAE,QAAQ,SAAS,IAAI2F,GAAGP,EAAEK,GAAG3F,EAAE,GAAG8F,GAAGP,EAAGxB,GAAG7D,EAAE,WAAW6F,GAAGN,GAAGO,GAAGH,GAAG,QAAQI,GAAG,EAAEA,GAAG/F,EAAE,WAAW,EAAE+F,GAAG,CAAC,IAAIC,GAAGhE,EAAE4D,GAAGG,IAAI,QAAQM,GAAG,EAAEA,GAAGvE,EAAE,EAAEuE,GAAG3B,EAAEmB,GAAGQ,KAAKL,GAAG9D,EAAE4D,GAAGO,IAAIR,IAAI/D,EAAEgE,IAAIhE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzE,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg9D,GAAG,CAAC,WAAW3+E,GAAG,YAAY,MAAM,WAAW0+E,EAAE,EAAE,SAASE,GAAG7hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,qCAAqC,EAAE,IAAIsC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAE,CAAC,aAAaW,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYkB,CAAC,EAAErB,EAAE,EAAE,IAAIxW,GAAGwW,EAAE,YAAY,SAAS,EAAE2E,EAAE3E,EAAE,QAAQ,KAAK,EAAEA,EAAE,QAAQ,IAAI8B,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAExE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsE,EAAE,IAAIxY,GAAGkU,EAAE,MAAMA,EAAE,MAAMqE,CAAC,EAAEE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAE,IAAI1Y,GAAG,EAAE,MAAM,EAAE,MAAMyY,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEjC,EAAE,EAAEiC,EAAE,CAAC,IAAIwC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM,EAAExC,GAAGnC,CAAC,CAAC,EAAEoC,EAAE,KAAK,IAAIrC,EAAE,WAAWA,EAAE,SAAS,EAAEoC,GAAGnC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEjB,EAAE,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMoC,EAAErC,GAAGpC,CAAC,CAAC,EAAEsC,EAAE,KAAK,IAAIxC,EAAE,UAAUA,EAAE,QAAQ2E,EAAErC,GAAGpC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAEzC,EAAE,YAAY,EAAEyC,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAEX,CAAC,EAAEuD,EAAE5C,EAAEX,EAAEgD,EAAE,EAAE,QAAQQ,EAAE,EAAEA,EAAEtF,EAAE,UAAU,EAAEsF,EAAE,QAAQC,EAAGX,EAAEW,EAAGlD,EAAE,EAAEkD,EAAG,CAAC,IAAIC,EAAGpD,EAAEmD,EAAGtF,EAAE,EAAE,QAAQwF,GAAGlD,EAAEkD,GAAGjD,EAAE,EAAEiD,GAAG,CAAC,IAAIC,GAAGpD,EAAEmD,GAAGvF,EAAEyE,EAAEG,GAAG9C,EAAE,IAAIsD,EAAEE,EAAGE,GAAGhD,CAAC,EAAER,EAAE,IAAIoD,EAAEC,EAAGE,GAAGhD,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIqC,EAAE1C,EAAEE,EAAEI,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO9H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI4hE,GAAG,CAAC,WAAW5+E,GAAG,YAAY,MAAM,WAAW2+E,EAAE,EAAE,SAASE,GAAG/hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,oCAAoC,EAAE,IAAIsC,EAAEnE,EAAE,eAAe6B,EAAE,KAAK,EAAEuC,EAAEpE,EAAE,eAAe,EAAE,KAAK,EAAEqE,EAAE7U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEa,EAAE,IAAI3W,GAAG0W,EAAE,QAAQ,SAAS,EAAEmB,EAAElB,EAAE,OAAO,CAAC,EAAEwE,EAAE,CAAC,EAAExE,EAAE,QAAQ2B,EAAEvE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAACqE,EAAEC,EAAEC,CAAC,EAAEjC,EAAEkC,EAAE3E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC6E,EAAEwC,EAAEvC,CAAC,EAAEpC,EAAE,CAAC,UAAUqC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAWC,EAAE,SAASC,EAAE,QAAQ2C,EAAE,YAAYP,EAAE,UAAUQ,EAAE,SAASC,EAAG,aAAaC,EAAG,YAAYC,EAAE,EAAEvF,EAAEwF,GAAGnD,EAAE,EAAErC,EAAE,QAAQ,IAAIyF,GAAGnD,EAAE,EAAEtC,EAAE,QAAQ,KAAK6D,GAAGe,EAAErC,EAAE,QAAQoD,GAAG,EAAEA,GAAGvD,EAAE,EAAEuD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,CAAC,IAAIC,GAAGD,GAAGL,GAAGO,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGR,CAAE,CAAC,EAAEU,GAAG,KAAK,IAAIZ,GAAG/C,EAAEyD,IAAIR,CAAE,EAAE,QAAQe,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,CAAC,IAAIC,GAAGD,GAAGZ,GAAGc,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGf,EAAE,CAAC,EAAEzB,GAAG,KAAK,IAAIuB,GAAI/C,EAAEgE,IAAIf,EAAE,EAAEvB,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAG+B,GAAG,EAAE/B,GAAG,CAAC,IAAIC,GAAGD,GAAGqB,EAAGQ,GAAG,QAAQU,GAAGD,GAAGC,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIrC,GAAGqC,GAAGjB,GAAGe,GAAGlC,GAAGvC,EAAE8D,GAAG7D,EAAEmC,GAAGlC,EAAEyE,GAAGnC,GAAGnC,GAAGG,EAAE,EAAE6B,IAAIQ,GAAGpC,EAAE,EAAE6B,IAAIhC,EAAEyD,GAAG,QAAQtB,GAAG,EAAEA,GAAGT,GAAG,EAAES,GAAG,CAAC,IAAIP,GAAG6B,GAAG/B,GAAGS,GAAGmC,GAAG7E,EAAEwC,GAAGL,IAAI2C,GAAG1E,EAAEqC,GAAGC,IAAIN,IAAIyC,GAAGC,EAAE,CAAC,CAAC,CAACvF,EAAE,EAAEwE,GAAGlB,EAAEoB,GAAG,EAAEQ,GAAGT,IAAI5B,EAAE,CAAC,CAAC,OAAO3G,EAAE,eAAe4C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk/D,GAAG,CAAC,WAAW7+E,GAAG,YAAY,MAAM,WAAW4+E,EAAE,EAAE,SAASE,GAAGjiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEF,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEvR,GAAG,CAACwR,EAAEA,CAAC,EAAED,EAAE,KAAK,EAAE2B,EAAE,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIF,EAAEE,EAAE5B,EAAE4B,GAAG,EAAEA,GAAG,IAAID,EAAE,CAAC,GAAG5B,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe8B,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIkgE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW6+E,EAAE,EAAME,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO2c,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,UAAU+B,CAAC,EAAE7B,EAAE8B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEX,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAO,CAAC,UAAUwC,EAAE,SAASC,EAAE,QAAQkB,EAAE,WAAW,EAAE,UAAUsD,EAAE,SAAS,EAAE,QAAQ7C,EAAE,aAAaC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeE,EAAE,cAAcwC,EAAE,SAASvC,CAAC,EAAEhX,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,OAAO0B,CAAC,EAAEkD,EAAEzG,EAAE,cAAcwG,CAAC,EAAEE,EAAEF,EAAE,OAAOG,EAAE3G,EAAE,kBAAkB4B,EAAE,MAAM6E,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAED,EAAE,IAAI,QAAQwD,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAGD,EAAEtD,EAAEF,EAAE,KAAK,QAAQ0D,EAAG,EAAEA,EAAG,EAAE,EAAEA,EAAG,CAAC,IAAIC,EAAG,OAAO,iBAAiB,QAAQE,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAI5B,GAAGe,EAAEa,GAAGvD,EAAE,GAAG2B,IAAI,GAAGA,GAAG5D,EAAE,QAAQ0F,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,CAAC,IAAIC,GAAGP,EAAGM,GAAGjB,EAAE,GAAGkB,IAAI,GAAGA,GAAGzE,EAAE,CAAC,IAAI0E,GAAGlK,EAAE,WAAW,CAAC6G,EAAEqB,GAAG+B,GAAGN,CAAE,EAAEzF,EAAElE,EAAE,eAAe4B,EAAE,KAAK,CAAC,EAAEuI,GAAGnK,EAAE,WAAW,CAAC8J,GAAGE,GAAGL,CAAE,EAAEvF,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAEuI,GAAG3G,EAAEyG,IAAI/F,EAAEgG,IAAIC,GAAGR,IAAKA,EAAGQ,GAAG,CAAC,CAAC,CAAC,IAAIP,GAAG7J,EAAE,WAAW,CAAC6G,EAAE2C,EAAEC,EAAEE,CAAE,EAAEjD,EAAE1G,EAAE,eAAewG,CAAC,CAAC,EAAEG,EAAEkD,IAAID,CAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOpG,EAAE,MAAMxD,EAAE,aAAa2G,EAAE/E,EAAE,KAAK,EAAE4E,EAAE5E,EAAE,KAAK,EAAE,MAAM4E,EAAE,MAAM5E,EAAE,KAAK,CAAC,CAAC,EAAMgiE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO0c,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,UAAUC,CAAC,EAAE9B,EAAE+B,EAAE,EAAES,EAAElE,EAAE,cAAc4B,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEnE,EAAE,cAAc6B,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASsD,EAAE,QAAQ,EAAE,aAAa7C,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeC,EAAE,cAAcE,EAAE,SAASwC,CAAC,EAAEvZ,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAExD,EAAE,OAAO,EAAE,OAAO+I,EAAE,OAAO,IAAI,YAAYjkB,4CAA4CikB,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIvC,EAAExG,EAAE,cAAc+I,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAEgD,EAAEzG,EAAE,0BAA0B6B,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ8E,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEX,EAAE,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAE,EAAE,KAAK,QAAQuD,EAAE,EAAEA,EAAEjE,EAAE,EAAEiE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG,EAAEC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGxD,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,QAAQ6D,GAAG,EAAEA,GAAG9B,EAAE,EAAE8B,GAAG,CAAC,IAAI8B,GAAGf,EAAEf,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAG1F,EAAE,CAAC,IAAI2F,GAAG/F,EAAEyC,GAAGmD,IAAIE,IAAIP,GAAGtF,EAAE0F,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGE,GAAGD,EAAG1B,GAAG,CAAC,CAAC,CAACzB,EAAEkD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMzD,EAAE,aAAayG,EAAE7E,EAAE,KAAK,EAAEC,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMgiE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOyc,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,UAAUC,CAAC,EAAE9B,EAAE+B,EAAE,EAAES,EAAElE,EAAE,cAAc4B,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEnE,EAAE,cAAc6B,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASsD,EAAE,QAAQ,EAAE,aAAa7C,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeC,EAAE,cAAcE,EAAE,SAASwC,CAAC,EAAEvZ,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAExD,EAAE,OAAO,EAAE,OAAO+I,EAAE,OAAO,IAAI,YAAYhkB,4CAA4CgkB,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIvC,EAAExG,EAAE,cAAc+I,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAEgD,EAAEzG,EAAE,0BAA0B4B,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ+E,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEX,EAAE,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAE,EAAE,KAAK,QAAQuD,EAAE,EAAEA,EAAEjE,EAAE,EAAEiE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG9C,EAAE,EAAE,EAAEA,EAAE+C,EAAGX,EAAE,EAAE,EAAEA,EAAE,QAAQY,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGxD,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,QAAQ6D,GAAG,EAAEA,GAAG9B,EAAE,EAAE8B,GAAG,CAAC,IAAI8B,GAAGf,EAAEf,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAG1F,EAAE,CAAC,IAAI2F,GAAG/F,EAAEyC,GAAGmD,IAAIE,IAAIP,GAAGtF,EAAE0F,IAAI3B,IAAIuB,GAAGQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGG,GAAGF,EAAGI,GAAG,CAAC,CAAC,CAACvD,EAAEE,GAAGgD,GAAIC,GAAIH,IAAIjD,EAAEG,GAAGC,GAAG4C,GAAGC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMzD,EAAE,aAAayG,EAAE7E,EAAE,KAAK,EAAEA,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAE,SAASkiE,GAAGtiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAE1B,EAAE,QAAQ,OAAO0B,EAAEi1D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,OAAO,CAAC,CAAC,EAAE6B,EAAE60D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAED,EAAE,MAAM,OAAOE,EAAEzD,EAAE,eAAe,EAAEuD,EAAE,KAAK,EAAEW,EAAE1U,EAAE,mBAAmBiU,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEb,EAAEW,GAAG,OAAOE,EAAE62D,GAAG,CAAC,OAAO,CAAC,EAAE13D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAEC,EAAE3U,EAAE,iBAAiB2U,EAAE,OAAOX,CAAC,GAAGhU,EAAE,2BAA2B,MAAM2U,EAAEC,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE9U,EAAE,0BAA0B4U,EAAE,MAAMD,CAAC,EAAEqB,EAAEhW,EAAE,WAAW4U,EAAE,MAAM,OAAO,EAAE,EAAE+zD,GAAGz2D,EAAE2C,EAAEmB,CAAC,EAAEsD,EAAE9I,EAAE,cAAcsE,CAAC,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuE,EAAEvE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAE4C,EAAE1C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEyC,EAAE,EAAEzC,EAAED,GAAGH,EAAEE,EAAEE,GAAG,EAAEH,GAAGE,CAAC,CAAC,GAAG,EAAE,CAAC,IAAIF,EAAE1W,EAAE,qBAAqB,EAAE,MAAMiU,CAAC,EAAE0C,EAAE,EAAE,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAExE,EAAE,8BAA8ByE,CAAC,CAAC,CAAC,OAAOzE,EAAE,8BAA8B6B,CAAC,EAAEW,GAAG,MAAMxC,EAAE,8BAA8B0C,CAAC,EAAE,CAAC,CAAC,IAAI2/D,GAAG,CAAC,WAAWz2E,GAAG,YAAY,MAAM,WAAWw2E,EAAE,EAAE,SAASE,GAAGxiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,SAASK,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEhU,EAAE,qBAAqBqS,EAAE,EAAE,MAAM,EAAErS,EAAE,oBAAoB,EAAE,OAAOgU,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE1U,EAAE,qBAAqB+T,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBsD,EAAE,WAAW,CAAC,EAAEtZ,EAAE,qBAAqB6U,EAAEb,EAAE,EAAE,EAAEyC,EAAEzW,EAAE,sBAAsBsZ,CAAC,EAAE7C,EAAE,EAAE,IAAIA,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAExE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAED,EAAE,OAAO,EAAEC,GAAG,EAAE,CAAC,EAAEnG,EAAE,YAAYiG,EAAE,MAAMC,CAAC,IAAID,EAAE63D,GAAG,CAAC,OAAO,CAAC73D,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEu2D,GAAG,CAAC,OAAO,CAAC,EAAE10D,EAAE,EAAE7B,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAE0/D,GAAG,CAAC,OAAO,CAAC,EAAE1/D,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,KAAK+B,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG1C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAI6/D,GAAG,CAAC,WAAW/+E,GAAG,YAAY,MAAM,WAAW8+E,EAAE,EAAE,SAASE,GAAG1iE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,EAAEC,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,IAAI,aAAa7B,EAAE,cAAc6B,EAAE,KAAK,CAAC,EAAE,EAAEH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,QAAQ4B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,GAAGC,GAAG,EAAE,EAAED,GAAGD,EAAEC,GAAG,EAAEA,GAAGD,EAAEC,IAAIC,EAAE,EAAE,CAAC,OAAO/B,EAAE,eAAeG,EAAE,MAAM,UAAU,CAAC,CAAC,CAAC,IAAIsiE,GAAG,CAAC,WAAW/+E,GAAG,YAAY,MAAM,WAAW8+E,EAAE,EAAME,GAAG50E,EAAE,MAAM60E,GAAG70E,EAAE,OAAO80E,GAAG90E,EAAE,OAAO+0E,GAAG/0E,EAAE,OAAOg1E,GAAGh1E,EAAE,OAAOi1E,GAAGj1E,EAAE,OAAOk1E,GAAG1L,GAAGzzE,GAAGic,GAAG,CAAC,IAAI,EAAE,KAAK,KAAKA,CAAC,EAAEE,EAAE,KAAK,IAAIF,CAAC,EAAEI,EAAE,GAAG,EAAEwiE,GAAG1iE,GAAG,OAAO,GAAG,MAAM+iE,GAAG7iE,EAAE4iE,IAAI5iE,EAAE2iE,IAAI3iE,EAAE0iE,IAAI1iE,EAAEyiE,IAAIziE,EAAE,KAAK,IAAI,CAACF,EAAEA,CAAC,EAAE,CAAC,EAAEijE,GAAG,CAAC,WAAWp/E,GAAG,YAAY,MAAM,WAAWm/E,EAAE,EAAE,SAASE,GAAGpjE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAIxD,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAEwD,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEs6D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM6B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIshE,GAAG,CAAC,WAAWp/E,GAAG,YAAY,MAAM,WAAWm/E,EAAE,EAAME,GAAG9M,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEujE,GAAGrM,GAAG/tE,GAAGm6E,EAAE,EAAEE,GAAG,CAAC,WAAWr6E,GAAG,YAAY,MAAM,WAAWo6E,EAAE,EAAE,SAASE,GAAGzjE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAMK,EAAED,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEF,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE+B,EAAE,EAAE,mBAAmB,KAAKC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,CAAC5B,EAAE,CAAC,EAAEqC,EAAElE,EAAE,cAAcyD,CAAC,EAAEU,EAAEnE,EAAE,uBAAuB,UAAUkE,CAAC,EAAEE,EAAEpE,EAAE,uBAAuB,UAAUkE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAErC,EAAE,IAAI,CAAC,IAAIiH,EAAEuzD,GAAG,CAAC,OAAO,CAAC,EAAE94D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE26D,GAAG,CAAC,OAAO,CAAC,EAAE74D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuE,EAAEgyD,GAAG,CAAC,OAAO,CAAC,KAAKnvD,EAAE,KAAK,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE,CAAC,KAAKwE,EAAE,KAAKC,CAAC,EAAE++D,GAAGj/D,EAAE,EAAEvE,CAAC,EAAE0E,EAAE5W,EAAE,uBAAuB0W,EAAEC,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIE,EAAE/W,EAAE,oBAAoB4W,EAAEC,CAAC,EAAElC,EAAE,EAAE,EAAEkC,GAAGE,EAAE,KAAKnC,EAAE,EAAE,EAAEiC,GAAGE,EAAE,IAAI,CAAC7E,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BuE,CAAC,CAAC,CAAC,IAAI5B,EAAE3C,EAAE,eAAe+B,EAAE,UAAUU,CAAC,EAAEG,EAAE5C,EAAE,eAAe+B,EAAE,UAAUW,CAAC,EAAEoB,EAAEyyD,GAAG,CAAC,OAAO,CAAC,KAAK5zD,EAAE,KAAKC,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,SAAS0/D,GAAG1jE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE5B,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAEH,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,EAAEE,EAAE,KAAK,IAAIG,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,EAAEH,EAAE,KAAK,IAAIG,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,GAAGsjE,GAAGvjE,CAAC,EAAE,CAAC,IAAI2B,EAAE6hE,GAAG,EAAE,EAAExjE,EAAE,EAAEF,CAAC,EAAE8B,EAAE,CAAChC,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,CAAC,IAAIiC,EAAE/B,EAAE,eAAe8B,EAAE,UAAUD,EAAE,IAAI,EAAEW,EAAExC,EAAE,eAAe8B,EAAE,UAAUD,EAAE,IAAI,EAAEY,EAAEzC,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkB4B,EAAE,SAAS,CAAC,EAAEwC,EAAEg0D,GAAG,CAAC,OAAO,CAAC,EAAEj0D,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE2C,EAAE2gE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEvhE,EAAE,EAAEU,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE4C,EAAE0gE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE9gE,EAAE,EAAEE,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE8D,EAAE9D,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,EAAE3C,EAAE,KAAK,IAAI4C,EAAE,MAAM,EAAE,OAAO,OAAO5C,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,KAAKkB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOjC,CAAC,KAAK,CAAC,IAAIA,EAAE/T,EAAE,uBAAuB,EAAE,CAAC,EAAEgU,EAAE6hE,GAAG9hE,EAAE3B,EAAE,CAAC,EAAE,OAAOpS,EAAE,uBAAuBgU,CAAC,CAAC,CAAC,CAAC,SAAS2hE,GAAG3jE,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,CAAC,CAAC,SAAS4jE,GAAG5jE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,GAAGH,IAAI,EAAE,MAAM,CAAC,KAAKF,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEhS,EAAE,uBAAuBgS,EAAE,CAAC,EAAE,EAAEE,EAAE,EAAE6B,EAAE/T,EAAE,qBAAqB,CAAC,EAAEgU,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKW,EAAE,CAACV,EAAE,MAAM,EAAEW,EAAEtC,EAAE,eAAeqC,EAAE,UAAUV,CAAC,EAAEY,EAAEvC,EAAE,eAAeqC,EAAE,UAAUT,CAAC,EAAEY,EAAE4zD,GAAG,CAAC,OAAO,CAAC,KAAK9zD,EAAE,KAAKC,CAAC,EAAE,QAAQvC,CAAC,CAAC,EAAEyC,EAAE9U,EAAE,oBAAoB,CAAC,EAAEgW,EAAElB,EAAE,KAAK,EAAEA,EAAE,KAAKwE,EAAE,CAACtD,EAAE,MAAM,EAAE,EAAE3D,EAAE,eAAeiH,EAAE,UAAUtD,CAAC,EAAES,EAAEpE,EAAE,eAAeiH,EAAE,UAAU,CAAC,EAAE5C,EAAE+xD,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKhyD,CAAC,EAAE,QAAQpE,CAAC,CAAC,EAAEsE,EAAEi/D,GAAG5hE,EAAEC,EAAE,EAAE7B,EAAEC,CAAC,EAAEuE,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKI,EAAE,CAACH,EAAE,MAAM,EAAE2C,EAAElH,EAAE,eAAe0E,EAAE,UAAUH,CAAC,EAAEI,EAAE3E,EAAE,eAAe0E,EAAE,UAAUF,CAAC,EAAEI,EAAEwxD,GAAG,CAAC,OAAO,CAAC,KAAKlvD,EAAE,KAAKvC,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE6E,EAAE0+D,GAAG5/D,EAAE,EAAE,EAAE5D,EAAEC,CAAC,EAAE8E,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE6C,EAAE3H,EAAE,eAAegF,EAAE,UAAUF,CAAC,EAAEsC,EAAEpH,EAAE,eAAegF,EAAE,UAAUD,CAAC,EAAE6C,EAAEwuD,GAAG,CAAC,OAAO,CAAC,KAAKzuD,EAAE,KAAKP,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE6H,EAAGla,EAAE,UAAUkS,EAAEE,CAAC,EAAE+H,EAAG,CAACD,EAAG,KAAK,MAAM,EAAEE,GAAG/H,EAAE,eAAe8H,EAAG,UAAUD,EAAG,IAAI,EAAEG,GAAGhI,EAAE,eAAe8H,EAAG,UAAUD,EAAG,IAAI,EAAEI,GAAGmuD,GAAG,CAAC,OAAO,CAAC,KAAKruD,GAAG,KAAKC,EAAE,EAAE,QAAQhI,CAAC,CAAC,EAAEqG,GAAGyyD,GAAG,CAAC,OAAO,CAAC,EAAE7wD,GAAG,EAAEL,CAAC,EAAE,QAAQ5H,CAAC,CAAC,EAAEmI,GAAG6uD,GAAG,CAAC,OAAO,CAAC,EAAEpyD,EAAE,EAAEyB,EAAE,EAAE,QAAQrG,CAAC,CAAC,EAAEoI,GAAG6yD,GAAG,CAAC,OAAO,CAAC,EAAEr2D,EAAE,EAAEyB,EAAE,EAAE,QAAQrG,CAAC,CAAC,EAAEqI,GAAGouD,GAAG,CAAC,OAAO,CAAC,MAAMtuD,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEsI,GAAGmuD,GAAG,CAAC,OAAO,CAAC,MAAMruD,EAAE,EAAE,QAAQpI,CAAC,CAAC,EAAEuI,GAAGi3D,GAAG,CAAC,OAAO,CAAC,MAAMr3D,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEwI,GAAGg3D,GAAG,CAAC,OAAO,CAAC,MAAMp3D,EAAE,EAAE,QAAQpI,CAAC,CAAC,EAAE6I,GAAG62D,GAAG,CAAC,OAAO,CAACr3D,GAAGC,EAAE,EAAE,QAAQtI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE8I,GAAG42D,GAAG,CAAC,OAAO,CAACn3D,GAAGC,EAAE,EAAE,QAAQxI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE+I,GAAG/I,EAAE,KAAK,IAAI6I,GAAG,MAAM,EAAE,OAAOvC,GAAGtG,EAAE,KAAK,IAAI8I,GAAG,MAAM,EAAE,OAAO,OAAO9I,EAAE,8BAA8BsC,CAAC,EAAEtC,EAAE,8BAA8BuC,CAAC,EAAEvC,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BoE,CAAC,EAAEpE,EAAE,8BAA8BqE,CAAC,EAAErE,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,8BAA8B4E,CAAC,EAAE5E,EAAE,8BAA8B2H,CAAC,EAAE3H,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B4H,CAAC,EAAE5H,EAAE,8BAA8B+H,EAAE,EAAE/H,EAAE,8BAA8BgI,EAAE,EAAEhI,EAAE,8BAA8BiI,EAAE,EAAEjI,EAAE,8BAA8BqG,EAAE,EAAErG,EAAE,8BAA8BmI,EAAE,EAAEnI,EAAE,8BAA8BoI,EAAE,EAAEpI,EAAE,8BAA8BqI,EAAE,EAAErI,EAAE,8BAA8BuI,EAAE,EAAEvI,EAAE,8BAA8BsI,EAAE,EAAEtI,EAAE,8BAA8BwI,EAAE,EAAExI,EAAE,8BAA8B6I,EAAE,EAAE7I,EAAE,8BAA8B8I,EAAE,EAAE,CAAC,KAAKC,GAAG,KAAKzC,EAAE,CAAC,CAAC,SAASk9D,GAAG7jE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAa,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEhU,EAAE,SAASqS,EAAE0B,EAAE,EAAE7B,CAAC,EAAE+B,EAAEjU,EAAE,oBAAoBgS,EAAE+B,CAAC,EAAE,GAAGE,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,KAAK,GAAGC,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,IAAI,CAAC9B,IAAI,GAAG,EAAE,GAAG,GAAGlS,EAAE,mBAAmBoS,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS0jE,GAAG9jE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEl8D,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAEyhE,GAAG1hE,EAAE,GAAG7B,CAAC,EAAE+B,EAAEq6D,GAAG,CAAC,OAAO,CAAC,EAAEt6D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAME,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOF,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI8hE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAE,SAASE,GAAGhkE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,MAAMC,EAAE,MAAM,CAAC,EAAEH,EAAE,EAAE,GAAG1B,EAAE,WAAW6B,CAAC,EAAE0B,EAAEvD,EAAE,kBAAkB,EAAEA,EAAE,cAAc4B,CAAC,CAAC,EAAE,OAAO6jE,GAAGliE,EAAE1B,EAAE,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE2B,CAAC,CAAC,CAAC,IAAImiE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASC,GAAGjkE,EAAE,EAAEE,EAAE,CAACF,EAAE,KAAK,CAAC,CAAC,CAAC,IAAImkE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO2b,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAEK,EAAEH,EAAE,EAAE1B,EAAE,uBAAuB4B,EAAE,MAAM5B,EAAE,cAAc4B,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE2B,EAAEC,EAAEC,CAAC,EAAE7B,EAAE,MAAMsC,EAAErC,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAO,QAAQwC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAED,EAAEE,EAAE,QAAQa,EAAE,EAAEA,EAAEf,EAAEe,IAAI,CAAC,IAAIkB,EAAElB,GAAGd,EAAEC,GAAG,QAAQgC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIqD,EAAErD,EAAEhC,EAAE,QAAQ6C,EAAE,EAAEA,EAAE7C,EAAE6C,IAAI,CAAC,IAAIL,EAAE,KAAK,MAAMzC,EAAEiC,EAAE,CAAC,EAAES,EAAE7B,EAAEmB,EAAEsD,EAAExC,EAAEH,EAAEjC,EAAEgC,GAAG,GAAGD,GAAG,GAAGA,EAAEzC,EAAE,CAAC,IAAI4C,EAAEH,EAAExC,EAAE4C,EAAEhC,EAAEmB,EAAEY,EAAEE,EAAEH,EAAEjC,EAAEmC,EAAE,CAAC,EAAEH,GAAGC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOtE,EAAE,MAAM,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMgkE,GAAG5N,GAAG,CAACx2D,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEqkE,GAAGnN,GAAG3yE,GAAG6/E,GAAG,KAAK,OAAO,EAAEE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAGvkE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEi8D,GAAG,CAAC,OAAO,CAAC,EAAE5/D,EAAE,OAAO,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,QAAQ8B,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAE,GAAGtB,IAAI,QAAQ,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,KAAK,EAAE,CAAC,IAAI4E,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8D,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAEsD,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,8BAA8BoH,CAAC,CAAC,MAAMtD,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAE,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG2C,EAAE,CAAC,IAAI,EAAEmB,EAAE,GAAGtB,IAAI,QAAQG,IAAI,SAASd,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIuF,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAEv6D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM,CAAC6B,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEiC,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEyE,EAAExE,CAAC,EAAE5C,EAAE,8BAA8BoH,CAAC,CAAC,MAAMtD,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEd,EAAEe,CAAC,EAAE5C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAO8D,CAAC,CAAC,IAAIwgE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW6/E,EAAE,EAAE,SAASE,GAAGzkE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAE29D,GAAG,CAAC,OAAO,CAAC,EAAEthE,EAAE,OAAO,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,QAAQ8B,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAEA,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAE,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG2C,EAAE,CAAC,IAAI,EAAEmB,EAAEA,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEd,EAAEe,CAAC,EAAE5C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAO8D,CAAC,CAAC,IAAI0gE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG3kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEC,EAAE,MAAM0B,EAAE,EAAE,EAAE,OAAO,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE3U,EAAE,mBAAmBoS,EAAEC,CAAC,EAAE,GAAG4B,IAAI,EAAE,OAAO/B,EAAE,eAAe8B,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIwC,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAE3C,EAAE,WAAWE,CAAC,EAAE0C,EAAEkxD,GAAGpxD,EAAEC,EAAEzC,EAAE,MAAM6B,EAAEF,EAAEW,EAAEC,EAAEvC,EAAE,MAAM,CAAC,EAAE,OAAOF,EAAE,eAAe8B,EAAE5B,EAAE,MAAM0C,EAAE,MAAM,CAAC,CAAC,IAAI8hE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG7kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,UAAU,EAAE,IAAI2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAErC,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC,IAAIC,EAAE1C,EAAEyC,GAAGlG,EAAE,OAAOmG,GAAGjC,EAAE,GAAGiC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBjC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAEZ,EAAEA,GAAG,OAAOY,EAAE,GAAG,IAAIC,EAAEpE,EAAE,cAAc,EAAE,KAAK,EAAEqE,EAAE7U,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAEW,CAAC,EAAEG,EAAEw5D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC2C,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEmB,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAM,CAAC2C,EAAE,UAAUD,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,EAAE,CAACA,EAAE,UAAUA,EAAE,UAAUD,EAAEC,EAAE,UAAUA,EAAE,SAAS,EAAEyE,EAAEpH,EAAE,WAAW8D,CAAC,EAAE,EAAE9D,EAAE,WAAW4C,CAAC,EAAE2B,EAAEwvD,GAAG,EAAE3sD,EAAE,CAAC,EAAE,OAAOpH,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,eAAe2C,EAAE,YAAY4B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIqgE,GAAG,CAAC,WAAWhgF,GAAG,YAAY,MAAM,WAAW+/E,EAAE,EAAE,SAASE,GAAG/kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEC,EAAE,EAAE0B,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEl8D,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAEyhE,GAAG1hE,EAAE,GAAG7B,CAAC,EAAE+B,EAAEq6D,GAAG,CAAC,OAAO,CAAC,EAAEt6D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAME,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOF,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI+iE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAME,GAAGzN,GAAGjyE,GAAGya,GAAG,OAAO,SAASA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEklE,GAAG,CAAC,WAAW3/E,GAAG,YAAY,MAAM,WAAW0/E,EAAE,EAAME,GAAG3N,GAAGhyE,GAAGwa,GAAG,KAAK,IAAIA,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,MAAM,EAAEolE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAME,GAAG7N,GAAG/xE,GAAGua,GAAG,OAAO,MAAMA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEslE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASE,GAAGvlE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEH,EAAE,EAAEo0D,GAAGl0D,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWt/E,GAAG,YAAY,MAAM,WAAWq/E,EAAE,EAAME,GAAGjO,GAAGpxE,GAAG4Z,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE0lE,GAAG,CAAC,WAAWt/E,GAAG,YAAY,MAAM,WAAWq/E,EAAE,EAAME,GAAGnP,GAAG,CAACx2D,EAAE,IAAIA,GAAG,CAAC,EAAE4lE,GAAG1O,GAAG5wE,GAAGq/E,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAWv/E,GAAG,YAAY,MAAM,WAAWs/E,EAAE,EAAME,GAAGtO,GAAGjxE,GAAGyZ,GAAGA,EAAE,EAAE,EAAE,MAAM,EAAE+lE,GAAG,CAAC,WAAWx/E,GAAG,YAAY,MAAM,WAAWu/E,EAAE,EAAME,GAAGxP,GAAG,CAACx2D,EAAE,IAAIA,GAAG,CAAC,EAAEimE,GAAG/O,GAAG1wE,GAAGw/E,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAW1/E,GAAG,YAAY,MAAM,WAAWy/E,EAAE,EAAE,SAASE,GAAGnmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI4B,EAAE5B,EAAE,MAAM,GAAGqC,EAAET,EAAE,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAEpE,EAAE,cAAc6B,EAAE,KAAK,EAAEwC,EAAE,IAAI,aAAaD,CAAC,EAAE,SAASE,EAAEkB,EAAE,CAAC,IAAI,EAAEA,EAAE/B,EAAEqF,EAAEtD,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,KAAK,IAAI,EAAE,EAAEtB,CAAC,EAAE+B,EAAE,EAAE,KAAK6C,GAAG,EAAEA,IAAI,CAAC,IAAI5C,EAAE/B,EAAE2E,GAAG7C,GAAGC,EAAEA,CAAC,CAAC,OAAOD,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEpB,EAAEoB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEsD,EAAE3E,EAAEqB,GAAG,KAAK,IAAI,EAAEjC,EAAE,EAAE,CAACC,CAAC,EAAEa,EAAEmB,GAAGsD,CAAC,CAAC,OAAOpH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAMwC,CAAC,CAAC,CAAC,IAAIujE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAE,SAASE,GAAGrmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAE8yD,GAAG,EAAE,SAAS,EAAE,IAAIvwD,EAAEnE,EAAE,cAAc,EAAE,KAAK,EAAEoE,EAAE,EAAE,MAAM,GAAGC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAE5C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2D,EAAE9D,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAayC,CAAC,EAAE2E,EAAE3E,EAAE,QAAQ,EAAE,EAAE,EAAE2E,EAAE,IAAI,CAAC,IAAI7C,EAAE,EAAE7B,EAAE8B,EAAE,EAAED,EAAE,KAAK,IAAI,EAAEA,EAAE1C,CAAC,EAAE4C,EAAE,EAAEF,EAAE,KAAK,IAAI7B,EAAE6B,EAAE1C,EAAE,CAAC,EAAE6C,EAAE,EAAE,QAAQC,EAAEH,EAAEG,EAAEF,EAAEE,IAAID,GAAG,KAAK,IAAI9B,EAAE+B,GAAG,CAAC,EAAED,EAAE3C,EAAE2C,EAAE5C,EAAE,QAAQ6C,EAAEH,EAAEG,EAAEF,EAAEE,IAAI,CAAC,IAAIE,EAAE,GAAG9C,EAAES,EAAEI,EAAE+B,GAAGb,EAAE,GAAGY,EAAE,IAAIC,IAAIE,GAAG,KAAK,IAAIH,EAAE,CAAClC,CAAC,GAAGqC,GAAGlC,EAAE,GAAG,EAAEgC,IAAIE,CAAC,CAAC,CAAC,OAAO7E,EAAE,eAAe,EAAE,MAAMG,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIimE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAGvmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE7B,EAAE8B,EAAE3B,EAAE,MAAM4B,EAAED,EAAE,OAAOU,EAAElE,EAAE,eAAe,EAAEwD,CAAC,EAAEW,EAAED,EAAEE,EAAE5U,EAAE,mBAAmB2U,EAAEV,CAAC,EAAEY,EAAEd,EAAE,KAAK,IAAI1B,EAAE,MAAM,EAAE,OAAO,GAAGuC,GAAG,KAAK,CAAC,IAAI8B,EAAE,IAAI,MAAMzC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,GAAG3C,EAAEY,EAAE+B,IAAI9B,EAAEuzD,GAAGvzD,EAAEb,EAAE3B,EAAE,MAAMuC,EAAE8B,CAAC,EAAE/B,EAAE3U,EAAE,iBAAiB2U,EAAE,OAAOV,CAAC,EAAED,EAAE0C,CAAC,CAACwuD,GAAG7yD,EAAE,KAAK,EAAErS,EAAE,2BAA2B,MAAM2U,EAAEV,CAAC,EAAE,GAAG,CAACa,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0BgU,EAAEW,CAAC,EAAE,EAAEnE,EAAE,cAAcwF,CAAC,EAAEsD,EAAEktD,GAAG3xD,EAAE,EAAEC,EAAEzC,EAAE,KAAK,EAAE,EAAE0B,EAAE,MAAMuF,EAAExE,EAAEzC,EAAE,KAAK,EAAEoE,EAAE3B,EAAE,OAAO,IAAI2B,EAAEzW,EAAE,qBAAqB8U,EAAEJ,CAAC,GAAG,CAAC,OAAO,EAAE,MAAM+B,EAAE,MAAMpE,EAAE,KAAK,CAAC,CAAC,IAAImmE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAE,SAASE,GAAGzmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE6yD,GAAG7yD,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEi0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEu7D,GAAGz7D,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAEzC,EAAE,eAAewC,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI+jE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASE,GAAG3mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAE27D,GAAG57D,EAAEtC,EAAE,MAAMA,EAAE,MAAM7B,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAOxC,EAAE,eAAe0C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIgkE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW6/E,EAAE,EAAE,SAASE,GAAG7mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM,EAAE+T,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,WAAW,CAAC,EAAE0C,EAAE47D,GAAG77D,EAAED,CAAC,EAAEG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,aAAasB,EAAEtB,EAAE,YAAY,EAAEA,EAAE,cAAc4E,EAAE5E,EAAE,eAAe,EAAEA,EAAE,cAAc+B,EAAE/B,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAEH,EAAE,EAAE/B,EAAE,QAAQ,MAAMmC,EAAEF,EAAE,EAAEjC,EAAE,QAAQ,KAAKqC,EAAEL,EAAE,EAAEhC,EAAE,QAAQ,IAAI6E,EAAE1Y,GAAG,EAAE,MAAM,SAAS,EAAEmW,EAAE9E,EAAE,WAAWG,CAAC,EAAE,QAAQ4E,EAAE,EAAEA,EAAEvC,EAAE,UAAU,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,WAAW,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,QAAQ,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,SAAS,EAAE0C,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,QAAQ,EAAE2C,EAAE,CAAC,IAAI2C,EAAE7C,EAAEP,EAAE6C,EAAErC,EAAEL,EAAEkD,EAAE5C,EAAER,EAAEqD,EAAG,EAAE,QAAQC,EAAG,EAAEA,EAAG1D,EAAE0D,GAAI,EAAE,CAAC,IAAIC,IAAIJ,EAAEG,GAAItF,EAAE,GAAG,EAAEuF,GAAG,GAAGA,IAAI1F,EAAE,UAAU,KAAK,MAAM0F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIf,EAAE,CAAC,IAAIgB,IAAIb,EAAEY,IAAIvF,EAAE,GAAG,EAAEwF,GAAG,GAAGA,IAAI5F,EAAE,WAAW,KAAK,MAAM4F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG/B,EAAE+B,IAAI,EAAE,CAAC,IAAI8B,IAAIP,EAAEvB,IAAI1C,EAAE,GAAGwE,GAAG,GAAGA,IAAI9F,EAAE,UAAU,KAAK,MAAM8F,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAGhE,EAAEC,EAAEC,EAAE,EAAE/B,EAAE,IAAIqC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEwD,GAAGP,EAAGzD,EAAEC,EAAE0D,GAAG1D,EAAE+B,GAAGiC,GAAGF,KAAKC,GAAG,EAAE,EAAE,GAAGC,KAAK,EAAE,SAAS,IAAIC,GAAG5D,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEgD,GAAIU,GAAGD,EAAE,CAAC,CAAC,CAACpB,EAAE,IAAIW,EAAGjD,EAAEE,EAAEC,EAAEC,EAAEH,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAeqH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIu/D,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG/mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEmxD,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWlxD,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE5U,EAAE,kBAAkB+T,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOe,EAAEjU,GAAG+T,EAAE,SAASb,EAAE,MAAMu8D,GAAGz7D,EAAEd,EAAE,MAAMA,EAAE,MAAMa,CAAC,EAAE,MAAM,EAAEoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY0E,EAAE1E,EAAE,eAAe,EAAEA,EAAE,cAAc6B,EAAE7B,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB+B,EAAED,EAAE,EAAE9B,EAAE,QAAQ,KAAKgC,EAAEH,EAAE,EAAE7B,EAAE,QAAQ,IAAIiC,EAAEhW,GAAGkT,EAAE,MAAM,SAAS,EAAEgD,EAAE7E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOkH,EAAE1Y,GAAGwR,EAAE,MAAM,UAAU0E,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpC,EAAE,UAAU,EAAEoC,EAAE,QAAQC,EAAE,EAAEA,EAAErC,EAAE,WAAW,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,SAAS,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,QAAQ,EAAEuC,EAAE,CAAC,IAAIC,EAAEF,EAAEN,EAAES,EAAEF,EAAER,EAAEqD,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEhD,EAAEgD,GAAGH,EAAE,CAAC,IAAIW,GAAG7C,EAAEqC,GAAGzD,EAAE,GAAG,EAAEiE,EAAE,GAAGA,GAAGrF,EAAE,WAAW,KAAK,MAAMqF,CAAC,IAAIA,GAAG,QAAQC,EAAG,EAAEA,EAAGxD,EAAEwD,GAAI,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAI,EAAE,GAAGC,EAAG,GAAGA,GAAIvF,EAAE,UAAU,KAAK,MAAMuF,CAAE,IAAIA,EAAG,SAAS,IAAIC,GAAG3D,EAAEC,EAAE,EAAE5B,EAAE,IAAIkC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEoD,GAAGZ,EAAE/C,EAAEwD,EAAGI,GAAGF,KAAKC,GAAG,EAAE,EAAE,GAAGC,KAAK,EAAE,SAAS,IAAI5B,GAAGa,EAAE,IAAIvC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAE+C,GAAGtB,GAAG4B,EAAE,CAAC,CAACzD,EAAE,IAAImD,EAAEhD,EAAEE,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe2E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAImiE,GAAG,CAAC,WAAWhgF,GAAG,YAAY,MAAM,WAAW+/E,EAAE,EAAE,SAASE,GAAGjnE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,eAAe,CAAC,EAAE,EAAE6/D,GAAGr+D,EAAE,EAAEE,EAAE,EAAEG,EAAE,KAAK,EAAE0B,EAAEu8D,GAAGt+D,EAAE,EAAEE,EAAEG,EAAE,GAAGD,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO2B,EAAE,MAAM,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWjgF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO+Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,WAAWK,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAE9B,EAAEgzD,GAAG9yD,EAAE,mBAAmB,EAAE,IAAI6B,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAE1U,EAAE,kBAAkBoS,EAAE,MAAMC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACsC,EAAEC,CAAC,EAAEqkE,GAAGhlE,EAAE7B,EAAE,MAAMA,EAAE,MAAM2B,EAAEW,CAAC,EAAEG,EAAEb,EAAE,MAAMW,EAAED,EAAE,SAAStC,EAAE,KAAK,EAAE0C,EAAEd,EAAE,MAAMY,EAAEF,EAAE,SAAStC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAC,OAAOyC,EAAE,MAAMH,EAAE,SAAS,MAAMtC,EAAE,KAAK,EAAE,CAAC,OAAO0C,EAAE,MAAMJ,EAAE,SAAS,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE,SAASykE,GAAGnnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,EAAErS,EAAE,0BAA0BqS,EAAE,MAAM0B,CAAC,EAAE,GAAGW,EAAElE,EAAE,cAAc,CAAC,EAAE,EAAE,CAAC,EAAEoE,EAAE1C,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAACwC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAEm0D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK2C,CAAC,EAAE,IAAIC,EAAEygE,GAAG,CAAC,OAAO,CAAC,EAAE1gE,EAAE,EAAED,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAE,KAAK4C,CAAC,EAAE,IAAIkB,EAAEs+D,GAAG,CAAC,OAAO,CAAC,EAAEx/D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+D,GAAG/D,EAAE,8BAA8B+D,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIojE,GAAG,CAAC,WAAWjgF,GAAG,YAAY,MAAM,WAAWggF,EAAE,EAAE,SAASE,GAAGrnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,GAAG,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,IAAI,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC7B,EAAEwE,GAAG7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIonE,GAAG,CAAC,WAAWlgF,GAAG,YAAY,MAAM,WAAWigF,EAAE,EAAE,SAASE,GAAGvnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC0C,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,GAAGD,EAAE,EAAE,EAAEzC,EAAE,EAAE,IAAIyC,GAAGA,EAAE,EAAE,EAAExC,EAAE,EAAE,IAAI,CAACwC,EAAEC,IAAID,EAAE,GAAGpE,EAAE,MAAMqE,EAAE,EAAEhC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEtE,EAAE,cAAcuD,CAAC,EAAEiC,EAAEjC,EAAE,OAAO,EAAEvD,EAAE,eAAeuD,CAAC,EAAEuF,EAAE9I,EAAE,uBAAuB6B,EAAE,MAAMyC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI,CAAC,IAAIC,EAAElG,EAAE,WAAWiG,EAAET,EAAE,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEZ,EAAEY,IAAIF,EAAEE,GAAG5C,EAAE4C,GAAGF,EAAEE,GAAG5C,EAAE4C,GAAG,EAAEF,EAAEE,GAAGlC,EAAEgC,EAAEE,IAAI3C,EAAE2C,KAAKF,EAAEE,IAAI3C,EAAE2C,GAAG,GAAG,EAAEF,EAAEE,GAAGlC,GAAGgC,EAAEA,EAAE,IAAI,CAACE,EAAEC,IAAID,EAAE5C,EAAE6C,EAAE,EAAE,IAAIF,EAAEnG,EAAE,WAAWkG,EAAE9B,EAAEC,CAAC,EAAEyE,EAAE7C,GAAG9B,EAAEgC,EAAE,CAAC,MAAM,CAAC,OAAOzE,EAAE,MAAMoH,EAAEvF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAImnE,GAAG,CAAC,WAAWlgF,GAAG,YAAY,MAAM,WAAWigF,EAAE,EAAME,GAAGjR,GAAG,CAACx2D,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOA,EAAE,GAAG,EAAE,GAAGA,GAAG,GAAG,GAAG,EAAEE,GAAGA,EAAE,GAAG,CAAC,CAAC,EAAEwnE,GAAGxQ,GAAG3vE,GAAGkgF,EAAE,EAAEE,GAAG,CAAC,WAAWpgF,GAAG,YAAY,MAAM,WAAWmgF,EAAE,EAAME,GAAGtnE,GAAGgF,GAAG,CAAC,EAAE,SAASuiE,GAAG7nE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE,EAAE,GAAGA,IAAI,KAAKA,EAAE,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAM,MAAM,4EAA4E,iBAAiBA,GAAG,EAAE,IAAIC,EAAExD,EAAE,eAAe,CAACuD,CAAC,EAAE1B,EAAE,KAAK,EAAE4B,EAAEskE,GAAG,CAAC,OAAO,CAAC,EAAElmE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,iBAAiB8B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEU,EAAE1U,EAAE,qBAAqBiU,EAAE,MAAMD,CAAC,EAAEW,EAAE25D,GAAG,CAAC,OAAO,CAAC,EAAEr6D,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEE,EAAE04D,GAAG,CAAC,OAAO,CAAC,EAAEj7D,EAAE,EAAEsC,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE2C,EAAEi1D,GAAG,CAAC,OAAO,CAAC,EAAEl1D,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAEw/D,GAAG,CAAC,OAAO,CAAC,EAAEz/D,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK8B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAE6gE,GAAG,CAAC,OAAO,CAAC,EAAE1gE,EAAE,EAAEmB,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAI8jE,GAAG,CAAC,WAAWl9E,GAAG,YAAY,MAAM,WAAWi9E,EAAE,EAAE,SAASE,GAAG/nE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,aAAa,EAAE,IAAI2B,EAAED,EAAE1B,EAAEwnE,GAAG,CAAC,OAAO,CAAC,OAAOxnE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE+B,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAEzC,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAOY,EAAE,CAACX,EAAE,CAAC,EAAEY,EAAErE,EAAE,oBAAoBA,EAAE,cAAcoE,CAAC,EAAE,OAAO,EAAE,QAAQE,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAIkB,EAAElB,EAAEJ,EAAE,EAAE,IAAI,aAAaA,EAAE,CAAC,EAAE,EAAE,GAAGC,EAAEqB,GAAG,QAAQS,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,GAAG,EAAEA,EAAE,GAAG9B,EAAEqB,EAAES,GAAG,IAAI6C,EAAEsgE,GAAG,KAAK,EAAE,SAAS,CAAC,EAAE,EAAE9kE,EAAE,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE4C,EAAE,EAAEzE,EAAE,EAAE4B,GAAG,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAGD,EAAE,EAAEC,GAAG,CAAC9B,EAAE,EAAE4B,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO5C,GAAG7B,EAAE,8BAA8B8B,CAAC,EAAE9B,EAAE,eAAe0C,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWvgF,GAAG,YAAY,MAAM,WAAWsgF,EAAE,EAAME,GAAG5zE,GAAG,wBAAwB,SAAS6zE,GAAGloE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,mBAAmB,EAAE,IAAI4B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgByC,CAAC,EAAEslE,GAAGhmE,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAIwlE,GAAG,CAAC,WAAWvgF,GAAG,YAAY,MAAM,WAAWsgF,EAAE,EAAME,GAAG/zE,GAAG,wBAAwB,SAASg0E,GAAGroE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,yBAAyB,EAAE,IAAIqC,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB0C,EAAE,aAAaC,CAAC,EAAEulE,GAAG1lE,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE1C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC2C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIylE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAME,GAAGl0E,GAAG,wBAAwB,SAASm0E,GAAGxoE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,4BAA4B,EAAE,IAAIqC,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeqF,CAAC,EAAEihE,GAAG7lE,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAC9D,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAImhE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAG1oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI4B,EAAEzD,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,EAAE,IAAI,aAAaT,EAAE,CAAC,EAAES,EAAE,KAAKV,CAAC,EAAE,IAAIW,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,QAAQuC,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,IAAI,GAAGD,EAAEC,GAAG,IAAIF,EAAEE,EAAE,EAAED,EAAEC,IAAIb,GAAG,OAAO7B,EAAE,eAAe,CAAC,GAAGG,EAAE,MAAM,CAAC,EAAE,EAAEqC,CAAC,CAAC,CAAC,IAAIimE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAG5oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEy2D,GAAG,CAAC,OAAO,CAAC,MAAM12D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE0oE,GAAG,CAAC,OAAO,CAAC,EAAEvoE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE2/D,GAAG,CAAC,OAAO,CAAC,MAAMz/D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAE6mE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1oE,CAAC,CAAC,EAAE8B,EAAEy0D,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK10D,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAOgiE,GAAG,CAAC,QAAQ9jE,EAAE,MAAM,CAAC,MAAME,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIyoE,GAAG,CAAC,WAAWh8E,GAAG,YAAY,MAAM,WAAW+7E,EAAE,EAAE,SAASE,GAAG9oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEy2D,GAAG,CAAC,OAAO,CAAC,MAAM12D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE4oE,GAAG,CAAC,OAAO,CAAC,EAAEzoE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE2/D,GAAG,CAAC,OAAO,CAAC,MAAMz/D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAE6mE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1oE,CAAC,CAAC,EAAE8B,EAAEy0D,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK10D,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAOgiE,GAAG,CAAC,QAAQ9jE,EAAE,MAAM,CAAC,MAAME,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI2oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAGhpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOgjE,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQljE,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEygE,GAAG,CAAC,OAAO,CAAC,MAAM1gE,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE89D,GAAG,CAAC,OAAO/9D,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,8BAA8BwC,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIgnE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGlpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC+C,EAAEL,IAAIK,EAAE,GAAGzE,EAAE,MAAMoE,GAAGK,EAAE,EAAE,EAAE9C,EAAE,EAAE,IAAI8C,GAAGA,EAAE,EAAE,EAAE7C,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAElE,EAAE,cAAc6B,EAAE,KAAK,EAAEsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,EAAEwC,EAAErE,EAAE,cAAcuD,CAAC,EAAEe,EAAEf,EAAE,OAAOiC,EAAExF,EAAE,eAAeuD,CAAC,EAAE,EAAEvD,EAAE,uBAAuB6B,EAAE,MAAMwC,CAAC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,EAAE,QAAQiC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIJ,EAAElG,EAAE,WAAWsG,EAAEnC,EAAEC,CAAC,EAAE,IAAI,CAACgC,EAAEC,IAAID,EAAE5C,EAAE6C,EAAE,EAAEF,EAAEnG,EAAE,WAAWkG,EAAE5B,EAAEkB,CAAC,EAAE,EAAEW,GAAG1C,EAAE6C,EAAE,CAAC,MAAM,CAAC,OAAO5E,EAAE,MAAM,EAAE6B,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAI8oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAME,GAAG5S,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEqpE,GAAGnS,GAAG1uE,GAAG4gF,EAAE,EAAEE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAE,SAASE,GAAGvpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,mBAAmBK,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIiH,GAAGpH,EAAE,KAAK,IAAIoH,EAAE,MAAM,EAAE,MAAM,EAAErF,EAAE5B,EAAE,IAAIiH,GAAGA,EAAE,KAAK,EAAE5E,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC0C,EAAEC,EAAEC,CAAC,EAAEiyD,GAAG/yD,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAI0E,GAAGpH,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAEpH,EAAE,eAAe4C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwlE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAGzpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEsyD,GAAG,EAAE50D,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAEzC,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE1C,EAAE,eAAe,CAACwC,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI8mE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAG3pE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAEb,EAAE,IAAI,GAAG7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE2C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAEixD,GAAGhzD,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAO9B,EAAE,eAAe4C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAI4lE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAG7pE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEH,EAAE6B,EAAEmzD,GAAG90D,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,CAAC,IAAI+nE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAME,GAAGvS,GAAGpuE,GAAG4W,GAAG,EAAEA,CAAC,EAAEgqE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGjqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,gBAAgB,EAAE,IAAI2B,EAAExD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAE9D,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAa7B,EAAE,cAAc,CAACmE,EAAEV,EAAES,EAAEI,CAAC,CAAC,CAAC,EAAEwE,EAAE,CAAC,GAAGrF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGZ,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE,EAAEC,EAAE4C,EAAE,GAAG,EAAE,GAAG3C,EAAE2C,EAAE,GAAG,EAAE,GAAG,QAAQ1C,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,QAAQC,EAAE,EAAEA,EAAE5C,EAAE4C,IAAI,CAAC,IAAIE,EAAE,EAAEA,EAAEL,GAAGG,EAAE,IAAI,GAAGE,EAAEL,EAAEG,EAAE,IAAI0C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMxC,CAAC,CAAC,EAAEC,EAAED,EAAEwC,EAAEtC,EAAE,KAAK,IAAIrC,EAAE,EAAE,KAAK,KAAKmC,CAAC,CAAC,EAAEG,EAAEN,EAAE5C,EAAE,GAAGuF,EAAEvF,EAAE,GAAGmD,EAAEP,EAAE5C,EAAE,GAAGiD,EAAEjD,EAAE,GAAG,QAAQoD,EAAE,EAAEA,EAAE1C,EAAE0C,IAAI,CAAC,IAAIC,EAAE,EAAEA,EAAEV,GAAGS,EAAE,IAAI,GAAGC,EAAEV,EAAES,EAAE,IAAI4C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM3C,CAAC,CAAC,EAAEoC,EAAEpC,EAAE2C,EAAEC,EAAE,KAAK,IAAIpF,EAAE,EAAE,KAAK,KAAKwC,CAAC,CAAC,EAAE6C,EAAGhD,EAAE8C,EAAEhG,EAAE,GAAGmG,EAAGhD,EAAE6C,EAAEhG,EAAE,GAAGoG,GAAGlD,EAAE+C,EAAEjG,EAAE,GAAGqG,GAAGlD,EAAE8C,EAAEjG,EAAE,GAAG,QAAQsG,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAI5B,GAAG1C,EAAEkE,EAAGI,IAAIE,GAAGxE,EAAEmE,EAAGG,IAAIG,GAAGzE,EAAEoE,GAAGE,IAAII,GAAG1E,EAAEqE,GAAGC,IAAIK,GAAGjC,IAAI+B,GAAG/B,IAAIe,EAAEmB,GAAGJ,IAAIE,GAAGF,IAAIf,EAAEoB,GAAGF,IAAIC,GAAGD,IAAI3D,EAAE,EAAEP,KAAKoE,EAAE,CAAC,CAAC,CAAC,OAAO3I,EAAE,eAAe,CAACyC,EAAEV,EAAES,EAAEI,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIonE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAE,SAASE,GAAGnqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE8yD,GAAG,CAAC,EAAE7yD,CAAC,EAAE,oBAAoB,EAAE,IAAI0B,EAAEvD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,EAAES,EAAEC,CAAC,EAAEtC,EAAE,MAAM,CAAC,CAACuC,EAAEC,CAAC,EAAE,EAAE,MAAMC,EAAE,IAAI,aAAad,EAAEC,EAAES,EAAEC,CAAC,EAAEqB,EAAE,CAAC,GAAGpB,EAAE,EAAEX,EAAE,EAAEA,EAAE,GAAGY,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEyE,EAAEtD,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGS,EAAEvE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwE,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,GAAG,QAAQ8C,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIE,EAAEF,EAAEyC,EAAEC,EAAE,KAAK,MAAMxC,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAE9C,EAAE,CAAC,EAAEgD,EAAEL,EAAE2C,EAAExF,EAAE,GAAGmD,EAAEN,EAAEI,EAAEjD,EAAE,GAAGoD,EAAEJ,EAAEwC,EAAEnC,EAAE,EAAED,EAAE,QAAQE,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAI2C,EAAE3C,EAAE,EAAEoC,EAAE,KAAK,MAAMO,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAEtF,EAAE,CAAC,EAAEwF,EAAGF,EAAEP,EAAEU,EAAG,EAAED,EAAGE,GAAGnD,EAAEwC,EAAE1F,EAAE,GAAGsG,GAAGpD,EAAEgD,EAAElG,EAAE,GAAGuG,GAAGpD,EAAEuC,EAAE1F,EAAE,GAAG2E,GAAGxB,EAAE+C,EAAElG,EAAE,GAAGyG,GAAGpD,EAAE+C,EAAGM,GAAGrD,EAAE8C,EAAGQ,GAAGvD,EAAEgD,EAAGQ,GAAGxD,EAAE+C,EAAG,QAAQU,GAAG,EAAEA,GAAGjG,EAAEiG,KAAK,CAAC,IAAIC,GAAGpE,EAAEC,KAAK5B,EAAEsF,GAAGQ,KAAKC,GAAGL,GAAG1F,EAAEuF,GAAGO,KAAKC,GAAGJ,GAAG3F,EAAEwF,GAAGM,KAAKC,GAAGH,GAAG5F,EAAE4D,GAAGkC,KAAKC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOzI,EAAE,eAAe,CAAC8B,EAAEU,EAAET,EAAEU,CAAC,EAAE,UAAUG,CAAC,CAAC,CAAC,IAAIsnE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAGrqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,uBAAuB,EAAE,IAAI2B,EAAExD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAE9D,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAasC,EAAEV,EAAES,EAAEI,CAAC,EAAEwE,EAAE,CAAC,GAAGrF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGZ,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE6C,EAAE,GAAG,EAAE,GAAG5C,EAAE4C,EAAE,GAAG,EAAE,GAAG3C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,GAAG,QAAQ+C,EAAE,EAAEA,EAAE9C,EAAE8C,IAAI,CAAC,IAAIwC,EAAE,EAAE9C,GAAGM,EAAE,IAAIN,EAAEM,EAAEC,EAAE,KAAK,IAAIpC,EAAE,EAAE,EAAE,KAAK,MAAM2E,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIvC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEhD,EAAE,GAAG,QAAQkD,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAE,EAAET,GAAGQ,EAAE,IAAIR,EAAEQ,EAAEE,EAAE,KAAK,IAAIvC,EAAE,EAAE,EAAE,KAAK,MAAMsC,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEpD,EAAE,GAAG,QAAQgG,EAAE,EAAEA,EAAElF,EAAEkF,IAAI,CAAC,IAAIP,EAAEzD,EAAEqB,EAAE2C,GAAG,EAAErD,KAAK8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvH,EAAE,eAAe,CAACyC,EAAEV,EAAES,EAAEI,CAAC,EAAEzC,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIiqE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAGvqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE8yD,GAAG,CAAC,EAAE7yD,CAAC,EAAE,2BAA2B,EAAE,IAAI0B,EAAEvD,EAAE,eAAe6B,EAAE,KAAK,EAAE2B,EAAExD,EAAE,eAAe,EAAE,KAAK,EAAE,CAACyD,EAAES,EAAEC,EAAEC,CAAC,EAAEvC,EAAE,MAAM,CAAC,CAACwC,EAAEC,CAAC,EAAE,EAAE,MAAMkB,EAAE,IAAI,aAAa/B,EAAES,EAAEC,EAAEC,CAAC,EAAE,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOoH,EAAE,CAAC,GAAGzE,EAAE,EAAEH,EAAE,EAAEA,EAAE,GAAGI,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE2B,EAAE6C,EAAE,GAAG,EAAE,GAAG5C,EAAE4C,EAAE,GAAG,EAAE,GAAG3C,EAAE,EAAEF,EAAEG,EAAE,EAAEF,EAAEG,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEI,EAAE,KAAK,KAAKH,CAAC,EAAE,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAEsF,IAAI,CAAC,IAAIvC,EAAEuC,EAAExF,EAAE,GAAG,QAAQkD,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,EAAElD,EAAE,GAAGoD,EAAE,KAAK,MAAMF,EAAEN,CAAC,EAAES,EAAE,KAAK,MAAMD,EAAEN,EAAE,CAAC,EAAE,QAAQQ,EAAE,EAAEA,EAAE1C,EAAE0C,IAAI,CAAC,IAAI2C,EAAE9C,EAAEG,EAAEtD,EAAE,GAAG0F,EAAE,KAAK,MAAMpC,EAAET,CAAC,EAAEqD,EAAE,KAAK,MAAMR,EAAE1C,EAAE,CAAC,EAAE,QAAQmD,EAAG,EAAEA,EAAGtF,EAAEsF,IAAK,CAAC,IAAIC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGvD,EAAEuD,KAAK,CAAC,IAAIC,GAAGD,GAAGhD,EAAE,GAAGiD,GAAG,GAAGA,IAAIxF,EAAE,SAAS,IAAIyF,GAAGtD,EAAEqD,GAAGrG,EAAE,GAAG0E,GAAG2B,GAAG5D,EAAE+D,GAAG,KAAK,IAAI9F,EAAE,EAAE,EAAE,KAAK,MAAMgE,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAE,GAAGzB,IAAIuD,GAAG,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,KAAK,CAAC,IAAIC,GAAGD,GAAGR,EAAE,GAAGS,GAAG,GAAGA,IAAI5F,EAAE,SAAS,IAAI6F,GAAGL,GAAGI,GAAG1G,EAAE,GAAG4G,GAAGF,GAAGhE,EAAEmE,GAAG,KAAK,IAAIlG,EAAE,EAAE,EAAE,KAAK,MAAMiG,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAEvD,IAAIwD,KAAKV,GAAI,EAAEQ,GAAGT,GAAI,CAAC,CAAClE,EAAEgE,EAAEE,GAAIC,CAAE,CAAC,CAAC,CAAC,CAAC,OAAOjI,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIwmE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGzqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAOu2D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAE,IAAI7V,GAAGkU,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,WAAWG,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEV,EAAE,KAAKU,IAAI,CAAC,IAAIC,EAAEX,EAAE,WAAWU,CAAC,EAAEE,EAAED,EAAE,MAAM,EAAEZ,EAAE,QAAQc,GAAGD,EAAEC,GAAGxC,EAAE,MAAMwC,GAAG,EAAED,EAAEC,EAAE,EAAEb,EAAE,IAAIC,EAAE,IAAI,GAAGW,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOzC,EAAE,eAAe8B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI0oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAME,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOkW,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE7B,EAAE8B,EAAExD,EAAE,uBAAuB4B,EAAE,MAAM5B,EAAE,cAAc4B,EAAE,KAAK,CAAC,EAAE,CAAC6B,EAAES,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEC,CAAC,EAAE9U,EAAE,eAAe,EAAE0U,EAAEC,CAAC,EAAEqB,EAAE,IAAI,EAAE,KAAK,IAAI3D,CAAC,EAAEiH,EAAE,KAAK,IAAIjH,CAAC,EAAE,EAAE0B,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAO,QAAQsE,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAED,EAAE/B,EAAED,EAAEE,EAAE,QAAQgC,EAAE,EAAEA,EAAElC,EAAEkC,IAAI,CAAC,IAAIC,EAAED,GAAGjC,EAAEC,GAAG,QAAQmC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIwC,EAAExC,EAAEnC,EAAE,QAAQoC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIC,EAAE,CAAChD,EAAE2C,EAAEG,EAAEC,CAAC,EAAEE,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,GAAGF,EAAErC,GAAGyE,GAAGnC,EAAErC,GAAG,EAAEuC,GAAGH,EAAErC,GAAG,GAAGsC,EAAErC,GAAGwE,EAAElC,EAAE,KAAK,MAAMA,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,MAAMA,EAAEvC,CAAC,EAAE,IAAIkF,EAAE,EAAE,GAAG,OAAO,GAAG,WAAWhD,IAAI,EAAEgD,EAAEhE,EAAEgE,EAAE,EAAEhD,IAAII,GAAG,GAAGA,EAAEzC,GAAG0C,GAAG,GAAGA,EAAE3C,EAAE,CAAC,IAAIuF,EAAE5C,GAAG1C,EAAEC,GAAGsF,EAAG9C,EAAExC,EAAEuF,EAAGxD,EAAEsD,EAAEC,EAAGlD,EAAEgD,EAAE,EAAEG,EAAG,CAAC,IAAIV,EAAE9C,EAAEE,EAAE0C,EAAEvC,EAAEhD,EAAEyF,GAAGO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOjG,EAAE,MAAMC,EAAE5B,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMwqE,GAAGpT,GAAGztE,GAAGiW,GAAG,CAAC,IAAI,EAAE,KAAK,MAAMA,CAAC,EAAE,OAAOA,EAAE,EAAE,GAAG,KAAK,MAAMA,CAAC,EAAEA,EAAE,EAAE,GAAG,KAAK,KAAKA,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE6qE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAE,SAASE,GAAG9qE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE3U,EAAE,gBAAgB,EAAEqS,EAAE,CAAC,EAAEuC,EAAE,GAAGC,EAAE3C,EAAE,WAAWG,CAAC,EAAEyC,EAAE5C,EAAE,WAAW,CAAC,EAAE8D,EAAEoxD,GAAGvyD,EAAEC,EAAE,EAAEH,EAAEV,EAAED,EAAED,EAAEW,EAAE,EAAEE,CAAC,EAAE,OAAO1C,EAAE,eAAe,EAAE8D,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI+mE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAGhrE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAEJ,EAAE,OAAOK,EAAE,EAAE,KAAKH,EAAEE,GAAGC,EAAE,KAAK,OAAOH,EAAEE,GAAG,CAAC,EAAEJ,EAAEK,GAAG,EAAEH,EAAEG,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAAS6qE,GAAGjrE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAEJ,EAAE,OAAOK,EAAE,EAAE,KAAKH,EAAEE,GAAGC,EAAE,KAAK,OAAOH,EAAEE,GAAG,CAAC,EAAEJ,EAAEK,IAAI,EAAEH,EAAEG,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAAS8qE,GAAGlrE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,QAAQ0B,EAAEG,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEhC,EAAE,MAAM+B,EAAE3B,GAAG2B,EAAE,GAAG3B,CAAC,EAAE6B,EAAEF,EAAE1B,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,EAAEqC,EAAE,EAAET,EAAES,GAAG,IAAI,OAAOsoE,GAAGhpE,EAAE,EAAEU,EAAET,EAAE,EAAEgpE,GAAGjpE,EAAE,EAAEU,EAAET,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASkpE,GAAGnrE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,eAAeK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAEipE,GAAGnpE,EAAEC,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAImpE,GAAG,CAAC,WAAWjhF,GAAG,YAAY,MAAM,WAAWghF,EAAE,EAAE,SAASE,GAAGrrE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI,EAAED,EAAE,MAAM,OAAO2B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAEpE,GAAG+B,EAAE,MAAM,EAAE,KAAK,EAAEsC,EAAEnE,EAAE,oBAAoBA,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,CAAC,EAAEE,EAAE,EAAEC,EAAE,IAAI,GAAG,EAAE,GAAGxC,EAAE,MAAM,SAAS,EAAE,EAAE7B,EAAE,cAAc6B,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAEf,EAAE,OAAOe,IAAI,QAAQkB,EAAE,EAAEA,EAAEnB,EAAEmB,IAAIjC,EAAEe,KAAK,EAAEH,EAAEC,KAAKZ,EAAEc,GAAGH,EAAEC,KAAKX,EAAEa,GAAG,OAAO5C,EAAE,eAAeG,EAAE,MAAMqC,EAAEC,CAAC,CAAC,CAAC,IAAI2oE,GAAG,CAAC,WAAWlhF,GAAG,YAAY,MAAM,WAAWihF,EAAE,EAAME,GAAGv9E,EAAE,gBAAgBw9E,GAAGx9E,EAAE,WAAWy9E,GAAGjU,GAAGntE,GAAG2V,GAAGA,GAAG,EAAEwrE,GAAGxrE,EAAEurE,IAAI,KAAK,IAAIvrE,CAAC,EAAE,EAAE,EAAE0rE,GAAG,CAAC,WAAWrhF,GAAG,YAAY,MAAM,WAAWohF,EAAE,EAAME,GAAGnU,GAAGhtE,GAAGwV,GAAGA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,EAAE4rE,GAAG,CAAC,WAAWphF,GAAG,YAAY,MAAM,WAAWmhF,EAAE,EAAME,GAAGrU,GAAG/sE,GAAGuV,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE8rE,GAAG,CAAC,WAAWrhF,GAAG,YAAY,MAAM,WAAWohF,EAAE,EAAME,GAAGvU,GAAG9sE,GAAGsV,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEgsE,GAAG,CAAC,WAAWthF,GAAG,YAAY,MAAM,WAAWqhF,EAAE,EAAME,GAAG,sBAAsBC,GAAG,KAAK,IAAID,EAAE,EAAE,EAAEE,GAAG3U,GAAG3sE,GAAGmV,GAAG,CAAC,IAAI,EAAEA,EAAE,CAACksE,GAAGhsE,EAAEF,EAAEksE,GAAG9rE,EAAE,KAAK,IAAIJ,CAAC,EAAEK,EAAE,OAAOH,EAAEG,EAAED,EAAE,EAAEC,EAAEL,EAAEK,EAAE,KAAK,IAAI,EAAED,CAAC,EAAEC,CAAC,CAAC,EAAE+rE,GAAG,CAAC,WAAWvhF,GAAG,YAAY,MAAM,WAAWshF,EAAE,EAAE,SAASE,GAAGrsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEknE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE9oE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE1U,EAAE,YAAYiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE3U,EAAE,YAAY0U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE5U,EAAE,oBAAoBiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEr6D,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEoC,EAAE20D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAEgC,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEx3D,CAAC,EAAE,QAAQ5E,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B4E,CAAC,EAAEH,CAAC,CAAC,IAAI2nE,GAAG,CAAC,WAAWxhF,GAAG,YAAY,MAAM,WAAWuhF,EAAE,EAAE,SAASE,GAAGvsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAC7gvG,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO,EAAE,IAAI0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAACyC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEwxD,GAAGzzD,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAACxC,EAAE,eAAe0C,EAAExC,EAAE,MAAMuC,CAAC,EAAEzC,EAAE,eAAe,CAAC0C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC8D,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwoE,GAAG,CAAC,WAAWzhF,GAAG,YAAY,MAAM,WAAWwhF,EAAE,EAAE,SAASE,GAAGzsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACnjBA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE,MAAM,KAAK9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAE8yD,GAAG1zD,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAC9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,EAAE/B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI+pE,GAAG,CAAC,WAAW1hF,GAAG,YAAY,MAAM,WAAWyhF,EAAE,EAAE,SAASE,GAAG3sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YAC9mBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEgzD,GAAG,EAAEt1D,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI2qE,GAAG,CAAC,WAAW3hF,GAAG,YAAY,MAAM,WAAW0hF,EAAE,EAAE,SAASE,GAAG7sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACvhBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,KAAK,EAAE,MAAM,GAAG,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEgzD,GAAG,EAAEt1D,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI6qE,GAAG,CAAC,WAAW5hF,GAAG,YAAY,MAAM,WAAW2hF,EAAE,EAAE,SAASE,GAAG/sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,cAAcK,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE5U,EAAE,gBAAgB,EAAEqS,EAAE0B,CAAC,EAAEc,EAAE,GAAGC,EAAE5C,EAAE,WAAWG,CAAC,EAAE2D,EAAE,OAAO,EAAE,MAAM,CAAC,IAAI,OAAO,CAAC,IAAI,EAAE9D,EAAE,WAAW,CAAC,EAAEoH,EAAE,QAAQpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,UAAU,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAEpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAEpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,SAAS,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAE9I,EAAE,aAAa0B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,QAAQ,MAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO,CAAC,CAAC,OAAO3C,EAAE,eAAe6B,EAAEiC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIgpE,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW4hF,EAAE,EAAE,SAASE,GAAGjtE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAEg4D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM+B,EAAE,KAAKW,CAAC,CAAC,CAAC,EAAE,OAAOX,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIqqE,GAAG,CAAC,WAAW9hF,GAAG,YAAY,MAAM,WAAW6hF,EAAE,EAAME,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO0U,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEF,EAAEI,EAAE,EAAE8yD,GAAGhzD,EAAE,QAAQ,EAAE,IAAIG,EAAED,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAaG,EAAE,MAAM,EAAE,QAAQ0B,EAAE,EAAEA,EAAE1B,EAAE,OAAO,EAAE0B,EAAE,CAAC,IAAIC,EAAE3B,EAAE0B,GAAG,EAAEA,GAAGC,EAAEA,CAAC,CAAC,MAAM,CAAC,OAAO5B,EAAE,MAAM,EAAEF,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMktE,GAAG5V,GAAGhsE,GAAG,CAACwU,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAO,MAAMF,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAEE,EAAE,KAAK,CAAC,EAAEmtE,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW4hF,EAAE,EAAE,SAASE,GAAGttE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE8yD,GAAG7yD,EAAE,cAAc,EAAE,GAAG,CAAC,iBAAiBwC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEhJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEG,EAAEg2D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK0E,CAAC,CAAC,CAAC,EAAED,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEz3D,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE5C,EAAE,8BAA8B2E,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE1E,EAAE,WAAWG,CAAC,EAAEwE,EAAEgxD,GAAGhzD,EAAE+B,EAAEF,EAAE,CAAC,EAAEC,EAAEzE,EAAE,eAAe4C,EAAE+B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAI4oE,GAAG,CAAC,WAAW9hF,GAAG,YAAY,MAAM,WAAW6hF,EAAE,EAAE,SAASE,GAAGxtE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE1C,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAOG,EAAE3C,EAAE,KAAK,IAAIyC,EAAE,MAAM,EAAE,OAAO,CAACG,EAAEkB,CAAC,EAAE8xD,GAAGlzD,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE5C,EAAE,eAAeyC,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIypE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAE,SAASE,GAAG1tE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,GAAG,CAAC+B,EAAES,EAAEC,CAAC,EAAEozD,GAAGh0D,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAACxC,EAAE,eAAe,CAAC0C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAE/B,EAAE,eAAe,CAAC0C,CAAC,EAAE,SAASF,CAAC,EAAExC,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAWyC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIgrE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAE,EAAE,SAASE,GAAG5tE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,WAAWK,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO6B,EAAEi0D,GAAG,EAAE31D,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ6B,CAAC,CAAC,CAAC,IAAI8rE,GAAG,CAAC,WAAWjiF,GAAG,YAAY,MAAM,WAAWgiF,EAAE,EAAME,GAAGtW,GAAGxrE,GAAGgU,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE+tE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAME,GAAGxW,GAAGvrE,GAAG+T,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEiuE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAE,EAAE,SAASE,GAAGluE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI,EAAE61D,GAAGh2D,EAAE,WAAWG,CAAC,EAAE,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIiuE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAE,SAASE,GAAIpuE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI0B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC2B,EAAEC,CAAC,EAAEk0D,GAAGp0D,EAAE1B,EAAE,MAAMA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACH,EAAE,eAAe8B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAE9B,EAAE,eAAe+B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIosE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAG,EAAE,SAASE,GAAItuE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE/B,EAAE,CAACwC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE9I,EAAE,eAAe6B,EAAE,KAAK,EAAE,EAAEiH,EAAE,GAAG7C,EAAE6C,EAAE,GAAG5C,EAAE4C,EAAE,GAAG3C,EAAEnG,EAAE,eAAe,CAAC,EAAEoG,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGI,EAAEJ,EAAE,GAAG4C,EAAE/I,EAAE,uBAAuB6B,EAAE,MAAM7B,EAAE,cAAc,CAAC,CAAC,EAAE+I,EAAE,KAAKvF,CAAC,EAAE,IAAIgD,EAAE5E,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4E,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ+E,EAAE,EAAEA,EAAEzC,EAAE,EAAEyC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,KAAK,EAAEH,EAAEA,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,QAAQP,EAAE,EAAEA,EAAE5E,EAAE,EAAE4E,EAAE,CAAC,IAAIQ,EAAEC,EAAG9C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAE,EAAE,GAAG6C,IAAK,EAAE,SAAS,IAAIC,GAAI/C,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGE,GAAIhD,EAAE,GAAG4C,EAAE5C,EAAE,GAAGC,EAAED,EAAE,IAAI8C,EAAGG,GAAGkmE,GAAGpmE,EAAGvF,EAAEb,CAAC,EAAEuG,GAAGimE,GAAGnmE,EAAGzF,EAAEZ,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,UAAUkG,EAAEumE,GAAIxpE,EAAErC,EAAEC,EAAE,EAAE6B,EAAEC,EAAES,EAAEmD,GAAGD,GAAGZ,EAAEzF,CAAC,EAAE,MAAM,IAAI,WAAWiG,EAAEwmE,GAAIzpE,EAAErC,EAAEC,EAAE,EAAE6B,EAAEC,EAAES,EAAEmD,GAAGD,GAAGZ,EAAEzF,CAAC,EAAE,MAAM,QAAQ,MAAM,IAAI,MAAM,+DAA+D,GAAG,CAAC,CAAC,IAAI0E,GAAGvB,EAAEP,EAAES,EAAER,EAAEmD,EAAEjD,EAAE0C,EAAEF,EAAEb,IAAIuB,CAAC,CAAC,OAAO7H,EAAE,eAAe,EAAEC,EAAE,MAAMkH,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnH,EAAE,MAAMmH,EAAE,EAAElH,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIquE,GAAG,CAAC,WAAWpiF,GAAG,YAAY,MAAM,WAAWgiF,EAAG,EAAE,SAASC,GAAGvuE,EAAE,EAAEE,EAAE,CAAC,OAAOA,EAAE,CAAC,IAAI,UAAU,OAAOyuE,GAAI3uE,EAAE,CAAC,EAAE,IAAI,OAAO,OAAO4uE,GAAI5uE,EAAE,CAAC,EAAE,IAAI,UAAU,OAAO6uE,GAAI7uE,EAAE,CAAC,EAAE,IAAI,WAAW,QAAQ,OAAO8uE,GAAI9uE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2uE,GAAI3uE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,EAAEE,IAAIF,EAAEE,EAAE,KAAK,MAAM,CAACF,EAAEE,CAAC,EAAEF,GAAGA,EAAEA,EAAE,CAAC,EAAEA,EAAEE,EAAE,CAACF,EAAE,CAAC,SAASA,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAGE,EAAE,KAAK,MAAMF,EAAEE,CAAC,EAAEF,GAAG,IAAIA,EAAEE,EAAEF,EAAE,EAAE,CAAC,OAAO1B,EAAE,MAAM,EAAE0B,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS0uE,GAAI5uE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAG,GAAG,KAAK,MAAM,CAACA,EAAEE,CAAC,EAAE,EAAE,SAASF,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAG,EAAE,KAAK,MAAMA,EAAEE,CAAC,CAAC,CAAC,OAAO5B,EAAE,MAAM,EAAE0B,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS4uE,GAAI9uE,EAAE,EAAE,CAAC,OAAOA,CAAC,CAAC,SAAS6uE,GAAI7uE,EAAE,EAAE,CAAC,OAAOxB,EAAE,MAAM,EAAEwB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+uE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,EAAEvC,EAAE2B,EAAE1B,EAAE2B,EAAE,EAAEC,EAAE,MAAO,IAAGF,GAAGA,EAAE,GAAG,GAAGC,GAAGA,EAAE9B,EAAEF,EAAE2C,GAAGD,CAAC,CAAC,SAAS8rE,GAAIxuE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAE,OAAO+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,CAAC,CAAC,SAAS+rE,GAAIzuE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAEF,EAAE,EAAEG,EAAEF,EAAE,EAAEoB,GAAGlB,EAAEd,GAAG+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGmsE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEG,EAAEb,EAAES,CAAC,EAAE,GAAGI,EAAEd,GAAG+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEwC,EAAED,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGmsE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEwC,EAAEC,EAAEb,EAAES,CAAC,EAAE,OAAOG,EAAEd,GAAGiC,GAAGjC,EAAEY,GAAG,CAAC,CAAC,SAASqsE,GAAIhvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAEH,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEgzD,GAAG,EAAE,QAAQ,EAAE,IAAI,EAAE9yD,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEo0D,GAAG,EAAEh2D,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAIgtE,GAAG,CAAC,WAAWziF,GAAG,YAAY,MAAM,WAAWwiF,EAAG,EAAE,SAASE,GAAIlvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAEA,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAEC,EAAEtC,EAAE,MAAM,MAAM,EAAEsC,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAACH,EAAE,GAAGG,EAAE,IAAIC,EAAE+3D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEC,EAAEC,GAAGy5D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAE9B,EAAE,8BAA8B4C,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAIusE,GAAG,CAAC,WAAW1iF,GAAG,YAAY,MAAM,WAAWyiF,EAAG,EAAE,SAASE,GAAIpvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,oBAAoB,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,EAAE,MAAM,OAAOC,EAAE,CAAC,EAAES,EAAE,CAAC,EAAEC,EAAEZ,EAAEC,EAAEY,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAIkB,EAAEo/D,GAAG,CAAC,OAAO,CAAC,MAAMxgE,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAI4C,EAAE,CAAC,CAAC,CAAC,EAAEF,EAAEoB,EAAEtB,EAAE,KAAKsB,CAAC,CAAC,CAAC,QAAQlB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAExF,EAAE,kBAAkBsE,EAAE,OAAO,EAAE,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ8D,CAAC,EAAEsD,EAAEswD,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAEh1D,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAE82D,GAAG,CAAC,OAAO,CAAC,EAAA1vD,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEuE,EAAE00D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE94D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAEwE,EAAE49D,GAAG,CAAC,OAAO,CAAC79D,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE+B,EAAE,KAAKyC,CAAC,EAAEhC,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK4E,CAAC,EAAE5E,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,KAAKgC,CAAC,CAAC,CAAC,IAAI7B,EAAEmmE,GAAG,CAAC,OAAO/mE,EAAE,QAAQ/B,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,OAAOwC,EAAE,QAAQI,GAAG5C,EAAE,8BAA8B4C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIwsE,GAAG,CAAC,WAAW3iF,GAAG,YAAY,MAAM,WAAW0iF,EAAG,EAAME,GAAI,CAAC3S,GAAGpG,GAAGsG,GAAGE,GAAGzF,GAAG2F,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGE,GAAGM,GAAGE,GAAGE,GAAGE,GAAGvC,GAAGyC,GAAGE,GAAGE,GAAGE,GAAGvI,GAAGU,GAAG+H,GAAGhJ,GAAGkJ,GAAGI,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGC,GAAGC,GAAGI,GAAG9G,GAAGgH,GAAG9K,GAAGsL,GAAGpL,GAAGsL,GAAGpL,GAAG8L,GAAGG,GAAGC,GAAGhM,GAAGmM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGzM,GAAGE,GAAG1B,GAAGmO,GAAGlF,GAAGoF,GAAGE,GAAGE,GAAGzJ,GAAGpD,GAAGE,GAAG6M,GAAG3M,GAAG6M,GAAGG,GAAGE,GAAGG,GAAGE,GAAGE,GAAGE,GAAGzN,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGrO,GAAGuO,GAAGG,GAAGK,GAAG5O,GAAGE,GAAG6O,GAAGG,GAAGG,GAAGjP,GAAGmP,GAAGI,GAAGE,GAAGE,GAAGG,GAAGtN,GAAGpC,GAAG4P,GAAGE,GAAGE,GAAGE,GAAG/S,GAAGyM,GAAGwG,GAAG9N,GAAGE,GAAGG,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGE,GAAGnQ,GAAGqQ,GAAGK,GAAGE,GAAGI,GAAG9Q,GAAGgR,GAAGE,GAAGE,GAAGlR,GAAGgN,GAAGsE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGlS,GAAGmS,GAAGjS,GAAGmS,GAAGE,GAAGE,GAAGE,GAAGE,GAAGtS,GAAGgH,GAAGwL,GAAGE,GAAGE,GAAGE,GAAGK,GAAGhV,GAAGuV,GAAGE,GAAGE,GAAGxG,EAAE,EAAE,QAAQ7oE,KAAKsvE,GAAIl2E,GAAG4G,CAAC,EAAE,IAAIZ,GAAG,CAAC,EAAEa,GAAGb,GAAG,CAAC,iBAAiB,IAAImwE,GAAG,wBAAwB,IAAIC,GAAI,8BAA8B,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,cAAc,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,YAAY,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,eAAe,IAAIC,GAAI,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,kCAAkC,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,aAAa,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,oBAAoB,IAAIC,GAAI,yBAAyB,IAAIC,GAAI,kCAAkC,IAAIC,GAAG,kBAAkB,IAAIC,GAAI,oBAAoB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,CAAC,EAAEC,GAAG,CAAC,MAAM,GAAG,UAAU,GAAG,mBAAmB,GAAG,sBAAsB,GAAG,MAAM,GAAG,QAAQ,GAAG,6BAA6B,EAAE,EAAE,SAASn3E,GAAGgF,EAAE,EAAE,CAACkyE,GAAGlyE,GAAG,CAAC,CAAC,SAASoyE,GAAGpyE,EAAE,EAAE,CAAC,GAAG,EAAEA,KAAKkyE,KAAK,GAAG,KAAK,CAAC,IAAI9xE,EAAEiyE,GAAIryE,EAAE,CAAC,EAAE,GAAGI,IAAI,KAAK8xE,GAAGlyE,GAAGI,MAAO,QAAO,QAAQ,IAAI,0CAA0CJ,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEgyE,GAAGlyE,GAAG,OAAOE,GAAG,MAAMA,EAAE,cAAc,GAAG,OAAOgyE,GAAGlyE,GAAGoyE,GAAGpyE,CAAC,IAAIE,EAAE,QAAQA,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,QAAQA,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,MAAM,EAAEA,EAAE,QAAQA,EAAE,mBAAmB,EAAEA,EAAE,QAAQA,EAAE,eAAe,EAAEA,EAAE,OAAOA,EAAE,YAAY,EAAEA,EAAE,OAAOA,EAAE,SAAS,EAAEA,EAAE,SAASA,EAAE,IAAI,EAAEgyE,GAAGlyE,GAAG,CAAC,SAASsyE,GAAItyE,EAAE,CAAC,GAAG,OAAO,iBAAiB,aAAaA,IAAI,EAAE,OAAO,IAAI,gBAAgB,IAAI,GAAG,EAAE,GAAG,OAAO,UAAU,YAAY,OAAO,SAAS,cAAc,QAAQ,EAAE,MAAM,IAAI,MAAM,wCAAwC,CAAC,CAAC,SAASqyE,GAAIryE,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,wDAAwD,EAAE,IAAIE,EAAE,GAAG,KAAKoyE,GAAItyE,CAAC,EAAE,EAAE,OAAOE,EAAE,iBAAiB,mBAAmBE,GAAG,CAACA,EAAE,eAAe,EAAE,OAAO8xE,GAAGlyE,EAAE,EAAE,EAAE,EAAEpO,EAAE,EAAE,QAAQ,wBAAwB,IAAIugF,GAAG,6BAA6B,IAAInyE,IAAI,EAAEE,EAAE,WAAW,QAAQiyE,EAAE,GAAGjyE,EAAE,WAAW,qBAAqBiyE,EAAE,EAAEjyE,EAAE,WAAW,SAASiyE,EAAE,CAAC,CAAC,IAAII,IAAI,SAASvyE,EAAE,CAACA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,aAAa,GAAG,cAAc,GAAGuyE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASxyE,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,SAAS,GAAG,UAAU,GAAGwyE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASzyE,EAAE,CAACA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,iBAAiB,GAAG,mBAAmBA,EAAEA,EAAE,yBAAyB,GAAG,2BAA2BA,EAAEA,EAAE,mBAAmB,GAAG,qBAAqBA,EAAEA,EAAE,mBAAmB,GAAG,oBAAoB,GAAGyyE,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAG1yE,EAAE,EAAE,CAAC,MAAM,CAAC,EAAEA,CAAC,CAAC,CAAC,SAAS2yE,GAAG3yE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAAS4yE,GAAG5yE,EAAE,CAAC,IAAI,EAAExB,EAAE,cAAcwB,CAAC,EAAEE,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,OAAO1B,EAAE,oBAAoB0B,CAAC,CAAC,CAAC,SAAS2yE,GAAG7yE,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,IAAI,EAAE,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8yE,GAAG9yE,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAEyyE,GAAG7yE,EAAE,CAAC,EAAE,OAAOE,EAAEE,EAAE,CAAC,CAAC,SAAS2yE,GAAG/yE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,OAAOhR,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGwO,EAAEF,EAAE,KAAKG,EAAEH,EAAE,KAAK,EAAEA,EAAE,QAAQ,EAAEA,EAAE,QAAQ6B,EAAE7B,EAAE,IAAI+B,EAAE,EAAES,EAAE,EAAEC,EAAEzC,EAAE,WAAW0C,EAAE1C,EAAE,MAAM8B,EAAE9B,EAAE,QAAQE,EAAEJ,EAAE,KAAKK,EAAEL,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEE,EAAE,KAAK6B,EAAE/B,EAAE,KAAKiC,EAAE,EAAES,EAAE,EAAEC,EAAE,GAAG,KAAK,EAAE,eAAe,KAAKC,EAAE5C,EAAE,MAAMgC,EAAEhC,EAAE,MAAM,CAAC,oBAAoBI,EAAE,wBAAwBC,EAAE,8BAA8B,EAAE,0BAA0B,EAAE,mBAAmB0B,EAAE,sBAAsBC,EAAE,0BAA0BC,EAAE,mBAAmBS,EAAE,qBAAqBC,EAAE,iBAAiBC,CAAC,CAAC,CAAC,SAASitE,GAAG7vE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOtO,EAAE,EAAE,QAAQ,OAAO,GAAGohF,GAAIhzE,CAAC,EAAEE,CAAC,CAAC,SAAS8yE,GAAIhzE,EAAE,CAAC,IAAI,EAAEA,EAAE,SAAS,EAAE,GAAG,IAAIA,EAAE,SAAS,MAAM,IAAI,MAAM,gBAAgBixE,GAAGjxE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIizE,GAAI,QAAQC,GAAI,MAAM,SAASpD,GAAG9vE,EAAE,CAAC,MAAM,CAAC,EAAEpO,EAAE,EAAE,QAAQ,8BAA8B,GAAGoO,IAAI,GAAGizE,GAAI,KAAK,IAAIjzE,CAAC,GAAG,KAAK,IAAIA,CAAC,EAAEkzE,GAAI,CAAC,SAASjC,GAAGjxE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,SAAS,MAAM,WAAW,KAAKA,EAAE,aAAa,MAAM,eAAe,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,kBAAkB,MAAM,oBAAoB,KAAKA,EAAE,8BAA8B,MAAM,gCAAgC,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,mBAAmB,MAAM,qBAAqB,QAAQ,MAAM,sBAAsB,GAAG,CAAC,CAAC,SAASuwE,GAAGvwE,EAAE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,CAAC,EAAE,cAAc,EAAE,kCAAkC,CAAC,CAAC,SAASqwE,GAAGrwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAaA,EAAE,aAAa,EAAE,sCAAsC,EAAE,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,kCAAkC,EAAE,OAAOA,CAAC,CAAC,SAAS6vE,GAAG/vE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAaA,EAAE,eAAe,EAAE,wCAAwC,EAAE,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEtO,EAAE,EAAE,IAAI,qBAAqB,EAAE,OAAOsO,EAAE,GAAGF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM0xE,GAAG,EAAE1xE,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,oCAAoC,EAAE,OAAOA,CAAC,CAAC,IAAIkzE,GAAI,2BAA2B,SAAS1B,GAAG1xE,EAAE,EAAE,CAAC,IAAIE,EAAEkzE,GAAI,KAAK,CAAC,EAAE,GAAGlzE,GAAG,KAAK,CAAC,QAAQ,IAAI,wCAAwC,GAAG,EAAE,QAAQ,IAAIF,CAAC,EAAE,MAAM,CAAC,IAAII,EAAE,CAACF,EAAE,GAAGG,EAAEL,EAAE,MAAM;AAAA,CAC9jc,EAAE,EAAEK,EAAE,OAAO,SAAS,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAI,CAACsC,EAAEC,IAAIpE,EAAE,UAAUoE,EAAE,GAAG,SAAS,EAAE,CAAC,EAAED,CAAC,EAAEZ,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIZ,EAAE,KAAK,IAAI,EAAEY,GAAG,OAAOZ,CAAC,EAAE,IAAIC,EAAE,EAAE,MAAM,EAAE5B,EAAE,CAAC,EAAE6B,EAAE,EAAE,MAAM7B,EAAE,EAAEA,CAAC,EAAEsC,EAAE,EAAE,MAAMtC,CAAC,EAAE,QAAQ,IAAI4B,EAAE,KAAK;AAAA,CACjN,CAAC,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,EAAE,EAAE,QAAQ,IAAI,MAAMxD,EAAE,SAASyD,EAAE,GAAGF,CAAC,IAAI,+DAA+D,EAAE,QAAQ,IAAIW,EAAE,KAAK;AAAA,CACjI,CAAC,CAAC,CAAC,SAASutE,GAAGjwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASyxE,GAAGzxE,EAAE,EAAE,CAAC,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAY,CAAC,CAAC,EAAE,CAACpO,EAAE,EAAE,IAAI,qBAAqB,GAAGoO,EAAE,oBAAoB,EAAEA,EAAE,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,6CAA6C,CAAC,CAAC,SAASgyE,GAAGhyE,EAAE,EAAE,CAAC,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgB,CAAC,CAAC,EAAEA,EAAE,oBAAoB,EAAEA,EAAE,eAAe,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,mCAAmC,CAAC,CAAC,SAASmwE,GAAGnwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASgwE,GAAGlwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqBE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASwwE,IAAK,CAAC,OAAO9+E,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,EAAE,CAAC,CAAC,SAASw+E,GAAGpwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASiyE,GAAGjyE,EAAE,EAAE,CAAC,IAAIE,EAAEtO,EAAE,EAAE,UAAU,wBAAwB,EAAE,GAAGoO,GAAG,GAAG,GAAG,EAAE,CAAC,IAAII,EAAE,IAAIJ,KAAK,KAAK,MAAM,IAAI,MAAM,0BAA0BI,EAAE,cAAc,CAAC,CAAC,GAAGJ,EAAEE,GAAG,EAAEA,EAAE,CAAC,IAAIE,EAAE,IAAIJ,KAAK,KAAKK,EAAE,IAAIH,KAAKA,KAAK,MAAM,IAAI,MAAM,0BAA0BE,EAAE,qDAAqDC,EAAE,GAAG,CAAC,CAAC,CAAC,SAAS2vE,GAAGhwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,kBAAkB,EAAE,oCAAoC,CAAC,CAAC,SAAS4vE,GAAG5vE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,kBAAkB,EAAEE,CAAC,EAAE,OAAO6B,IAAI,GAAG,IAAI8tE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaI,CAAC,CAAC,EAAEyvE,GAAG7vE,EAAE,IAAIA,EAAE,oBAAoB+B,EAAE1B,EAAEL,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,wBAAwB+B,CAAC,CAAC,EAAE,GAAG,CAAC,SAAS4tE,GAAG3vE,EAAE,EAAEE,EAAE,CAACmzE,GAAGrzE,EAAEE,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAASE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,SAAS8xE,GAAI9xE,EAAE,EAAE,CAACqzE,GAAGrzE,EAAE,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAAS,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAAS4wE,GAAG5wE,EAAE,EAAEE,EAAE,CAAC,OAAOizE,GAAGnzE,EAAE,IAAIA,EAAE,mBAAmB,EAAEE,CAAC,EAAE,YAAYA,EAAE,2BAA2B,CAAC,CAAC,SAASywE,GAAG3wE,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,mBAAmB,EAAEE,CAAC,CAAC,CAAC,SAASwvE,GAAG1vE,EAAE,EAAEE,EAAEE,EAAE,CAACyvE,GAAG7vE,EAAE,IAAI2vE,GAAG3vE,EAAE,EAAEI,CAAC,CAAC,EAAEyvE,GAAG7vE,EAAE,IAAIA,EAAE,UAAUE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASovE,GAAIxvE,EAAE,CAAC6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,CAAC,CAAC,SAASyvE,GAAGzvE,EAAE,EAAEE,EAAE,CAAC2vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAYE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS6xE,GAAG7xE,EAAE,EAAE,CAAC6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,KAAK,CAAC,CAAC,CAAC,CAAC,SAAS+xE,GAAG/xE,EAAE,CAAC,IAAI,EAAEA,EAAE,uBAAuBA,EAAE,WAAW,EAAE,GAAG,IAAIA,EAAE,qBAAqB,MAAM,IAAI,MAAM,8BAA8BwwE,GAAGxwE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASwwE,GAAGxwE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,0CAA0C,MAAM,4CAA4C,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,wBAAwB,MAAM,0BAA0B,QAAQ,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAASmzE,GAAGnzE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEyvE,GAAG7vE,EAAE,IAAI,EAAE,CAAC,EAAE,GAAGI,GAAG,KAAK,MAAM,IAAI,MAAMF,CAAC,EAAE,OAAOE,CAAC,CAAC,SAASizE,GAAGrzE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iCAAiC,EAAEI,EAAE,EAAEJ,EAAE,SAAS,GAAGI,EAAEJ,EAAE,UAAUI,EAAEF,EAAE,CAAC,IAAIG,EAAE,2BAA2BH,KAAK,MAAM,IAAI,MAAM,0BAA0BG,IAAI,CAAC,CAAC,CAAC,SAASiwE,GAAGtwE,EAAE,EAAE,EAAE,CAAC,OAAOxB,EAAE,cAAcwB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS6wE,GAAG7wE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,MAAM,sDAAsD,EAAE,MAAM,CAACA,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,GAAG,EAAEA,EAAEA,EAAE,OAAO,EAAE,CAAC,CAAC,SAAS8wE,GAAG9wE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,KAAK,IAAI,EAAE,CAACswE,GAAGtwE,CAAC,EAAE,GAAG6wE,GAAG7wE,CAAC,CAAC,GAAG,CAAC,CAAC,SAAS+wE,GAAG/wE,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEtO,EAAE,EAAE,UAAU,wBAAwB,EAAEwO,EAAExO,EAAE,EAAE,UAAU,mCAAmC,EAAEwO,IAAI,EAAE,GAAGxO,EAAE,EAAE,QAAQ,0CAA0C,IAAIwO,EAAEF,EAAE,GAAG,IAAIA,EAAEA,EAAE,EAAEE,EAAEA,EAAE,EAAEJ,EAAEA,EAAE,IAAI,CAAC+B,EAAEC,IAAIA,GAAGhC,EAAE,OAAO,EAAExB,EAAE,kBAAkBwB,EAAEgC,EAAE,EAAEhC,EAAEgC,EAAE,EAAEhC,EAAE,SAAS,IAAIA,EAAE,CAAC,EAAEA,EAAE,EAAE,IAAIA,EAAE,SAAS,IAAIA,EAAExB,EAAE,aAAawB,CAAC,EAAE,UAAU,IAAIK,EAAE7B,EAAE,cAAcwB,CAAC,EAAE,EAAE,KAAKA,EAAE,QAAQ,GAAGK,GAAGH,EAAE,EAAE,CAAC,EAAEG,CAAC,EAAEL,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAEF,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,GAAGF,EAAE,IAAIE,EAAE,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAEA,EAAE,SAAS,GAAGA,EAAE,IAAIE,GAAGF,EAAE,GAAGA,EAAE,GAAGA,EAAE,IAAIE,IAAI,EAAE,CAACF,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,GAAG,IAAI,EAAE,GAAG,MAAM,KAAK,IAAI,GAAG,CAAC,EAAEI,GAAG,KAAK,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,IAAI,KAAK,IAAI,GAAG,CAAC,EAAE,EAAE,GAAG,GAAG,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI2B,EAAEuuE,GAAGtwE,CAAC,EAAEgC,EAAE,EAAEC,EAAE,EAAEjC,EAAE,SAAS,CAACgC,EAAEC,CAAC,EAAE4uE,GAAG7wE,CAAC,GAAGK,EAAE0B,GAAGC,EAAE,IAAIC,EAAE,GAAG,EAAEzD,EAAE,oBAAoB6B,CAAC,EAAE,IAAIqC,GAAGA,EAAE,CAAC,CAAC,MAAM,EAAElE,EAAE,oBAAoB6B,CAAC,EAAE,OAAO,CAAC,CAAC,SAASizE,GAAGtzE,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASsxE,GAAGtxE,EAAE,EAAE,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,EAAExB,EAAE,YAAYwB,EAAE,CAAC,GAAG,CAACA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,KAAK,GAAGA,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,GAAG,GAAGA,EAAE,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,EAAE,GAAGI,EAAE,EAAE,MAAM,EAAE,EAAE,GAAG,GAAGF,IAAIE,GAAGkzE,GAAGpzE,CAAC,GAAGozE,GAAGlzE,CAAC,IAAIJ,EAAE,KAAK,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,CAAC,OAAOA,EAAE,KAAK,EAAE,IAAIszE,GAAGtzE,EAAE,EAAE,GAAGszE,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIC,GAAGC,GAAG,SAAStC,GAAGlxE,EAAE,CAAC,GAAGuzE,IAAI,KAAK,CAAC,IAAI,EAAEnB,GAAGpyE,CAAC,EAAEuzE,GAAG,EAAE,aAAa,EAAE,gBAAgB,CAAC,CAAC,OAAOA,EAAE,CAAC,SAAS5B,IAAK,CAAC4B,GAAG,IAAI,CAAC,SAAS3B,IAAK,CAAC4B,GAAG,IAAI,CAAC,SAAS/C,GAAGzwE,EAAE,CAAC,GAAGwzE,IAAI,KAAK,CAAC,IAAI,EAAEpB,GAAGpyE,CAAC,EAAEwzE,GAAG,EAAE,aAAa,EAAE,uBAAuB,CAAC,CAAC,OAAO,KAAK,IAAI,GAAGA,EAAE,CAAC,CAAC,SAASxC,GAAGhxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAEE,EAAEkyE,GAAGpyE,CAAC,EAAE,OAAOmxE,GAAGjxE,EAAE,iCAAiC,GAAGF,IAAI,EAAE,EAAE,EAAEmxE,GAAGjxE,EAAE,0BAA0B,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,SAASixE,GAAGnxE,EAAE,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,SAASwxE,GAAGxxE,EAAE,CAAC,GAAG,CAAC,GAAGoyE,GAAGpyE,CAAC,GAAG,KAAK,MAAM,EAAE,OAAO,EAAN,CAAS,OAAO,QAAQ,IAAI,qCAAqC,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,SAASoxE,GAAGpxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEoyE,GAAGpyE,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAACmxE,GAAG,EAAE,mBAAmB,EAAE,MAAM,WAAW,CAACA,GAAG,EAAE,wBAAwB,EAAE,MAAM,GAAG,OAAOsC,GAAG,CAAC,CAAC,CAAC,SAASpC,GAAGrxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEoyE,GAAGpyE,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAACmxE,GAAG,EAAE,mBAAmB,GAAG,CAACA,GAAG,EAAE,0BAA0B,EAAE,MAAM,OAAO,CAAC,GAAGA,GAAG,EAAE,wBAAwB,EAAE,OAAOsC,GAAG,CAAC,EAAE,IAAI,EAAE,8BAA8B,GAAGtC,GAAG,EAAE,CAAC,EAAE,CAAC,IAAI9wE,EAAE,EAAE,aAAa,CAAC,EAAE,OAAOqzE,GAAI,EAAErzE,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,OAAOozE,GAAG,CAAC,CAAC,CAAC,SAASA,GAAGzzE,EAAE,CAAC,IAAI,EAAE+yE,GAAG/yE,CAAC,EAAEE,EAAEF,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWE,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAE,EAAEL,EAAE,WAAWA,EAAE,WAAW,EAAE,EAAE,oBAAoBI,EAAEC,EAAE,EAAE,EAAE,mBAAmB,EAAE,iBAAiB,IAAI,EAAE,IAAI,EAAEL,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWE,EAAE,CAAC,EAAE,IAAI,EAAEF,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcE,CAAC,EAAEF,EAAE,kBAAkB,CAAC,EAAE,CAAC,CAAC,SAAS0zE,GAAI1zE,EAAE,EAAE,CAAC,IAAIE,EAAE6yE,GAAG/yE,EAAE,CAAC,EAAEI,EAAEJ,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWI,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE,EAAEL,EAAE,WAAWA,EAAE,WAAW,EAAEE,EAAE,wBAAwBG,EAAE,EAAE,EAAEH,EAAE,mBAAmBA,EAAE,qBAAqB,IAAI,EAAE,IAAI,EAAEF,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWI,EAAE,CAAC,EAAE,IAAI2B,EAAE/B,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcI,CAAC,EAAEJ,EAAE,kBAAkB,CAAC,EAAE+B,CAAC,CAAC,SAASwvE,GAAGvxE,EAAE,CAAC,OAAOA,IAAI,EAAE,GAAGoyE,GAAGpyE,CAAC,EAAE,WAAW,IAAI,CAAC,SAASuvE,GAAGvvE,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,YAAY,IAAI,GAAG,4DAA4D,CAAC,CAAC,CAAC,CAAC,IAAIyzE,GAAG/hF,EAAE,EAAE+hF,GAAG,aAAa,YAAY,IAAIA,GAAG,UAAU,eAAe,EAAE,CAAC,EAAEA,GAAG,aAAa,gBAAgB,IAAInC,GAAG,CAAC,EAAE,EAAEA,GAAG,CAAC,EAAE,EAAE,CAAC,EAAEmC,GAAG,aAAa,iCAAiC,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,IAAI,eAAe,IAAI,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAI,EAAE,EAAEA,GAAG,aAAa,2BAA2B,IAAI,EAAE,EAAEA,GAAG,aAAa,aAAa,IAAIA,GAAG,QAAQ,WAAW,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,kBAAkB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,sBAAsB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,yBAAyB,IAAIzC,GAAGyC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIlD,GAAGkD,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+CAA+C,IAAI,CAAC,IAAI3zE,EAAE2zE,GAAG,UAAU,eAAe,EAAE,OAAO3zE,IAAI,EAAE,EAAEgxE,GAAGhxE,CAAC,CAAC,CAAC,EAAE2zE,GAAG,aAAa,gDAAgD,IAAIA,GAAG,UAAU,8CAA8C,EAAE,GAAG,CAAC/iF,GAAG,SAAS,CAAC,EAAE+iF,GAAG,aAAa,+BAA+B,IAAIvC,GAAGuC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,0BAA0B,EAAE,GAAGA,GAAG,QAAQ,8BAA8B,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAItC,GAAGsC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,0BAA0B,IAAIpC,GAAGoC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,4BAA4B,IAAIA,GAAG,QAAQ,8BAA8B,EAAE,EAAE,CAAC,EAAEA,GAAG,aAAa,iCAAiC,IAAI,GAAG3zE,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,8FAA8FA,IAAI,CAAC,CAAC,EAAE2zE,GAAG,aAAa,wBAAwB,IAAI/iF,GAAG,SAAS,EAAE,EAAE,GAAGoP,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,2FAA2FA,IAAI,CAAC,CAAC,EAAE2zE,GAAG,aAAa,6BAA6B,IAAI,GAAG,EAAEA,GAAG,aAAa,4BAA4B,IAAI,EAAE,EAAEA,GAAG,aAAa,2CAA2C,IAAI,GAAG,EAAEA,GAAG,aAAa,+BAA+B,IAAI,GAAG,EAAEA,GAAG,aAAa,iBAAiB,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,QAAQ,SAAS,CAAC,EAAEA,GAAG,aAAa,oCAAoC,IAAI,EAAE,CAAC,EAAEA,GAAG,aAAa,2CAA2C,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAE,SAASC,IAAI,CAAC,IAAI5zE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,OAAOrQ,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGoO,EAAE,kBAAkB,EAAE,KAAKE,EAAE,MAAME,EAAE,KAAKC,EAAE,UAAU,EAAE,cAAc,EAAE,wBAAwB0B,EAAEnQ,EAAE,EAAE,QAAQ,qBAAqB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAYjrU,GAAGoQ,EAAE,GAAGC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QASRjC,EAAE,GAAG,EAAE,YAAYE,EAAE,UAAUE,EAAE,UAAUC,EAAE,YAAY,EAAE,eAAe,EAAE,GAAG0B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAQnFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQD,CAAC,QAAQjC,EAAE,UAAU,EAAE,UAAUE,EAAE,UAAUE,EAAE,UAAUC,EAAE,OAAO,EAAE,aAAa,EAAE,iBAAiB0B,EAAE,iBAAiBC,EAAE,YAAYC,CAAC,CAAC,CAAC,SAAS4xE,GAAG7zE,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAE5B,EAAE,eAAe,CAAC,EAAE,OAAO4B,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOL,EAAE,QAAQE,OAAOG,IAAI0B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOJ,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQK,IAAI,YAAYL,EAAE,QAAQK,IAAI,MAAM,GAAG,MAAM0B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAAS+xE,GAAG9zE,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAE5B,EAAE,eAAe,CAAC,EAAE,OAAO4B,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOL,EAAE,QAAQE,uBAAuB,KAAK6B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOJ,EAAE,EAAE,QAAQE,OAAOF,EAAE,wBAAwB,KAAK,YAAYA,EAAE,wBAAwB,KAAK,MAAM,GAAG,MAAM+B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASgyE,GAAI/zE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOI,EAAEJ,EAAE,IAAI,GAAG,GAAG,KAAK,IAAI,EAAEK,EAAE,IAAI,MAAMH,EAAE,CAAC,EAAEG,EAAEH,EAAE,GAAGE,EAAEF,EAAE,GAAG,QAAQ,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEG,EAAE,GAAG,IAAIA,EAAE,EAAE,QAAQD,EAAE,EAAE,MAAM,OAAOC,CAAC,CAAC,SAAS2zE,GAAGh0E,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAEJ,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEK,EAAE0zE,GAAI3zE,EAAE,CAAC,EAAE,OAAOC,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,IAAI0B,EAAE,OAAO/B,EAAE,QAAQE,OAAOG,EAAE,KAAK2B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOL,EAAE,EAAE,QAAQE,OAAOF,EAAE,QAAQK,EAAE,KAAK,YAAYL,EAAE,QAAQK,EAAE,KAAK,MAAM,GAAG0B,MAAMC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASiyE,GAAGj0E,EAAE,CAAC,IAAI,EAAExB,EAAE,eAAewB,CAAC,EAAE,IAAIE,GAAGA,EAAE,SAAS,CAAC,EAAE,MAAM;AAAA;AAAA,wBAEhjC,EAAE,mBAAmB,EAAE;AAAA;AAAA,CAE9C,CAAC,SAASg0E,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,CAIrB,CAAC,IAAIC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuCJ,CAAC,iBAAiBC,EAAE,EAAEpmF,EAAE,SAASqmF,GAAGr0E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGJ,EAAE,QAAQ6C,GAAG,CAAC,IAAIC,EAAEtE,EAAE,cAAcqE,EAAE,UAAU,YAAY,EAAE,GAAGA,EAAE,UAAU,UAAUzC,EAAE,KAAK,iBAAiByC,EAAE,OAAOC,EAAE,EAAE,IAAIA,KAAK,KAAK,GAAG1C,EAAE,KAAK,qBAAqByC,EAAE,OAAO,EAAEzC,EAAE,KAAK,qBAAqByC,EAAE,OAAO,GAAG3C,EAAE,oBAAoB,CAAC,GAAG,CAAC,aAAa8D,CAAC,EAAEswE,GAAGp0E,EAAE,aAAa2C,EAAE,UAAU,aAAaA,EAAE,UAAU,QAAQ,EAAE,OAAOmB,EAAE,OAAO,CAAC,IAAK,GAAE5D,EAAE,KAAK,eAAeyC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,QAAQ,KAAK,CAACzC,EAAE,KAAK,iBAAiByC,EAAE,eAAe,CAAC,CAAC,CAAC,EAAE3C,EAAE,oBAAoB,CAAC,OAAO,EAAE,aAAa,OAAO,CAAC,IAAK,GAAEE,EAAE,KAAK,uBAAuB,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,8BAA8B,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,QAAQ,KAAK,CAACA,EAAE,KAAK,4BAA4B,CAAC,CAACF,EAAE,gBAAgBA,EAAE,eAAe,QAAQ2C,GAAG,CAACzC,EAAE,KAAK,WAAWyC,EAAE,QAAQA,EAAE,OAAOA,EAAE,WAAW,IAAIA,EAAE,cAAc,KAAK,CAAC,CAAC,EAAE,IAAIxC,EAAED,EAAE,KAAK;AAAA,CACxsC,EAAE,EAAEJ,EAAE,IAAI6C,GAAG0xE,GAAI1xE,EAAE,EAAE3C,EAAE,aAAaA,EAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CACjE,EAAE,EAAE,EAAE,SAAS6B,EAAE6xE,GAAG,EAAE5xE,EAAEwyE,GAAIzyE,CAAC,EAAEE,EAAES,EAAEC,EAAE8xE,GAAI1yE,CAAC,EAAE,OAAO,EAAE,UAAUE,EAAEyyE,GAAI,EAAE,aAAa,EAAEx0E,EAAE,mBAAmB,EAAEwC,EAAEiyE,GAAI5yE,CAAC,IAAIE,EAAE2yE,GAAI,EAAE,aAAa,EAAE10E,EAAE,mBAAmB,EAAEwC,EAAEmyE,GAAI9yE,CAAC,GAAG7B,EAAE,eAAeyC,GAAGmyE,IAAK,CAACnyE,EAAEX,EAAEU,EAAErC,EAAE4B,EAAE,EAAE/B,EAAE,QAAQ,EAAE,KAAK;AAAA,CACvO,CAAC,CAAC,SAAS60E,GAAG/0E,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAa,OAAOE,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO80E,GAAIh1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOi1E,GAAIj1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOk1E,GAAIl1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOm1E,GAAIn1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOo1E,GAAIp1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOq1E,GAAIr1E,CAAC,EAAE,IAAK,GAAE,OAAOs1E,GAAIt1E,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGE,EAAE,8CAA8C,CAAC,CAAC,CAAC,SAASq1E,GAAGv1E,EAAE,EAAE,CAAC,OAAOA,EAAE,UAAU,aAAa,OAAO,CAAC,IAAK,GAAE,OAAOw1E,GAAIx1E,CAAC,EAAE,IAAK,GAAE,OAAOy1E,GAAIz1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO01E,GAAI11E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO21E,GAAI31E,EAAE,CAAC,EAAE,QAAQ,OAAO41E,GAAI51E,EAAE,CAAC,CAAC,CAAC,CAAC,SAASu0E,GAAIv0E,EAAE,EAAEE,EAAE,GAAGE,EAAE,CAAC,IAAIC,EAAE,GAAGH,EAAEG,GAAGk1E,GAAGv1E,EAAEI,CAAC,EAAEC,GAAG00E,GAAG/0E,EAAEI,CAAC,EAAE,IAAI,EAAEJ,EAAE,UAAU,aAAa,EAAE,EAAE,aAAa,OAAO,EAAE,QAAQ,EAAE,SAASE,EAAEG,GAAGw1E,GAAI71E,EAAE,CAAC,EAAEK,GAAGy1E,GAAI91E,EAAE,CAAC,GAAGK,CAAC,CAAC,SAASq0E,GAAI10E,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO+1E,GAAG,EAAE,IAAK,GAAE,OAAOC,GAAIh2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO+1E,GAAIj2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOg2E,GAAIl2E,EAAE,EAAEE,CAAC,EAAE,QAAQ,OAAOi2E,GAAIn2E,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAAS00E,GAAI50E,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO+1E,GAAG,EAAE,IAAK,GAAE,OAAOK,GAAIp2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOm2E,GAAIr2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOo2E,GAAIt2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOq2E,GAAIv2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOs2E,GAAIx2E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOy2E,GAAIz2E,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGA,EAAE,+CAA+C,CAAC,CAAC,CAAC,SAASw0E,GAAIx0E,EAAE,CAAC,MAAM;AAAA;AAAA,eAE/jCA,EAAE;AAAA;AAAA,GAEd,CAAC,SAAS60E,GAAI70E,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAAS20E,GAAI30E,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASy0E,GAAIz0E,EAAE,CAAC,MAAM,GAAGA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIzBA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBFA,EAAE;AAAA,MACFA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBF02E;AAAA,MACAC;AAAA,MACAC;AAAA,GACH,CAAC,IAAIF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYVC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJ9B,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWJ,SAASiB,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,GAInB,CAAC,SAASC,GAAIh2E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,OAAOA,EAAE,KAAK,EAAEF,EAAE;AAAA;AAAA;AAAA;AAAA,MAIhF;AAAA;AAAA,sCAEgCE,EAAE;AAAA;AAAA,MAElCA,EAAE,KAAK,EAAEF,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,sCAEgCE,EAAE;AAAA;AAAA,MAElCF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAOJ;AAAA;AAAA;AAAA,oCAGgCE,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,GAEhC,CAAC,SAASg2E,GAAIp2E,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIpC;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9B,EAAE,KAAK,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,kCAE4B,EAAE;AAAA;AAAA,MAE9BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,4BACnB,EAAE;AAAA;AAAA,GAE3B,CAAC,SAASg2E,GAAIl2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAiB/B,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKL,EAAE,GAAG,CAAC,EAAE,EAAEK,EAAE,KAAK,KAAKL,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAG5DI,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,wBAEX;AAAA,qBACH;AAAA;AAAA,6BAEQC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASi2E,GAAIt2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7B4zE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE9zE,CAAC;AAAA;AAAA;AAAA,EAGtB,IAAII,EAAEyzE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,QAC3BI;AAAA;AAAA;AAAA,GAGL,CAAC,SAAS+1E,GAAIn2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAsB/B,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKL,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAEK,EAAE,KAAK,KAAKL,EAAEA,EAAE,OAAO,GAAG,CAAC,EAAE,EAAE,EAAE+B,EAAE,GAAGC,EAAE,UAAU,QAAQC,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,IAAI,GAAGjC,EAAEA,EAAE,OAAOiC,EAAE,GAAGF,EAAE;AAAA,aACtKE,eAAe;AAAA,kBACVA,OAAO;AAAA,MACnBF,EAAEC,EAAE,IAAIC,MAAMD,EAAE,MAAM;AAAA,UAClBhC,EAAE;AAAA;AAAA,oCAEwBI,EAAE,OAAOA,EAAE;AAAA,iCACdA,EAAE;AAAA;AAAA,QAE3B2B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ1B;AAAA,4BACDA;AAAA;AAAA,mBAETL,EAAE,UAAUgC;AAAA;AAAA,GAE5B,CAAC,SAASu0E,GAAIv2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK3B4zE,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE9zE,CAAC;AAAA;AAAA;AAAA,IAG3B,IAAII,EAAEyzE,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA,QAC3BI;AAAA;AAAA;AAAA,GAGL,CAAC,SAASo2E,GAAIx2E,EAAE,EAAE,CAAC,IAAIE,EAAE2zE,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA,kDAEd,EAAE;AAAA,+BACrB,EAAE;AAAA;AAAA,iCAEA,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAASu2E,GAAIz2E,EAAE,EAAE,CAAC,IAAIE,EAAE2zE,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,KAAK,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAGtD,EAAE,OAAO,EAAE;AAAA,iCACO,EAAE;AAAA;AAAA,QAE3BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAAS+1E,GAAIj2E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAG5B,EAAE,YAAYwB,EAAE,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7F;AAAA;AAAA,8CAEwCE,EAAE,OAAOA,EAAE;AAAA;AAAA,MAEnD,IAAIC,EAAE,KAAK,KAAKL,EAAE,GAAG,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAanC;AAAA;AAAA;AAAA,oCAGgCE,EAAE,OAAOA,EAAE;AAAA;AAAA,iCAEdA,EAAE;AAAA,6BACNC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASg2E,GAAIr2E,EAAE,EAAEE,EAAE,CAAC,OAAO1B,EAAE,YAAYwB,EAAE,CAAC,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA,MAI9C;AAAA;AAAA,0CAEoC,EAAE,OAAO,EAAE;AAAA;AAAA,MAE/CF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BF,EAAE,KAAK,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,OAAO,EAAE;AAAA,mCACd,EAAE;AAAA;AAAA;AAAA,MAG/BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,OAAO,EAAE;AAAA,iCACd,EAAE;AAAA,wBACXF,EAAE;AAAA,4BACEA,EAAE;AAAA;AAAA;AAAA,GAG3B,CAAC,SAAS62E,GAAG72E,EAAE,CAAC,MAAM,SAASA,GAAG,CAAC,SAASw1E,GAAIx1E,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,EAAEE,EAAEwzE,GAAG,EAAE,MAAM;AAAA,WAClH1zE;AAAA,eACIE,EAAE,aAAa;AAAA;AAAA,GAE3B,CAAC,SAAS40E,GAAIh1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM,SAASI,eAAeF,MAAM,GAAG,CAACG,EAAE,CAAC,EAAEL,EAAE,UAAU,SAAS,GAAGK,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACnLD;AAAA,+BACiBF;AAAA;AAAA,MAEzB,IAAI,EAAE22E,GAAG32E,CAAC,EAAE,GAAG,EAAE,MAAM;AAAA,YACjBE;AAAA,6BACiBF,iBAAiBA,iBAAiB;AAAA,6BAClCA;AAAA;AAAA,IAEzB,GAAG,CAAC6B,EAAEC,CAAC,EAAEhC,EAAE,UAAU,SAAS,MAAM;AAAA,YAC5BI;AAAA,6BACiB2B,MAAMC,MAAM;AAAA,6BACZ9B;AAAA;AAAA,GAE1B,CAAC,SAASu1E,GAAIz1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAEL,EAAE,UAAU,SAAS,EAAE4zE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WAC9GxzE;AAAA,gDACqCF,oCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA,IAE1B,IAAI,EAAE,CAAC,KAAK,KAAKG,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAE,MAAM;AAAA,WAC3CD;AAAA;AAAA,UAED,EAAE,OAAO,EAAE;AAAA,eACN,EAAE,aAAaF;AAAA;AAAA,GAE3B,CAAC,SAAS+0E,GAAIj1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM;AAAA,cACjGI;AAAA,UACJ02E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAIK,EAAEL,EAAE,UAAU,SAAS,EAAEK,EAAE,GAAG,EAAEA,EAAE,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACvDD;AAAA,+BACiBF;AAAA;AAAA,MAEzB,IAAI6B,EAAE80E,GAAG32E,CAAC,EAAE,OAAO,IAAI,EAAE,EAAE;AAAA,cACnBE;AAAA,6CAC+B2B,qBAAqB7B;AAAA,+BACnCA;AAAA;AAAA,MAEzB;AAAA,cACQE;AAAA,6CAC+B2B,eAAe;AAAA,+BAC7B7B;AAAA;AAAA,MAEzB,IAAI,EAAE,EAAE;AAAA,cACAE;AAAA,wCAC0B2B,qBAAqB7B;AAAA,+BAC9BA;AAAA;AAAA,MAEzB;AAAA,cACQE;AAAA,wCAC0B2B,eAAe;AAAA,+BACxB7B;AAAA;AAAA,MAEzB,EAAE;AAAA,YACIE;AAAA,6BACiBF,iBAAiBA,yBAAyB6B;AAAA,6BAC1C7B;AAAA;AAAA,IAEzB;AAAA,YACQE;AAAA,6BACiB,MAAM,cAAc2B;AAAA,6BACpB7B;AAAA;AAAA,GAE1B,CAAC,SAASw1E,GAAI11E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,EAAE,EAAE,GAAG+B,EAAE,EAAE,GAAGC,EAAE4xE,GAAG,EAAE,GAAG,GAAG,MAAMp1E,EAAE,YAAY0B,EAAE,CAAC,EAAE,OAAO,EAAE;AAAA,aAClLG;AAAA,qDACwCD,iBAAiBA;AAAA;AAAA,iBAErD4B,EAAE,aAAa5B;AAAA;AAAA,MAE1B;AAAA,aACOC;AAAA,qDACwC0B,QAAQ;AAAA;AAAA,iBAE5CC,EAAE,aAAa5B;AAAA;AAAA,MAE1B,GAAG,EAAE,MAAM;AAAA,WACNC;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA;AAAA,eAE3B4B,EAAE,aAAa5B;AAAA;AAAA,IAE1B,IAAI6B,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAES,EAAE,KAAK,KAAKxC,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC/DG;AAAA,iCACsBqC,MAAMT,EAAE,OAAOA,EAAE;AAAA,eACnCD,EAAE,aAAa5B;AAAA;AAAA,GAE3B,CAAC,SAAS80E,GAAIl1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,GAAG,GAAG,MAAMxB,EAAE,YAAY0B,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,MAAM;AAAA,cAC/JG;AAAA,qDACuCD,iBAAiBA;AAAA,+BACvCA;AAAA;AAAA,MAEzB,IAAIwC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAG,MAAM;AAAA,YAClBxC;AAAA,mDACuCwC,QAAQD;AAAA,6BAC9BxC;AAAA;AAAA,GAE1B,CAAC,GAAG,CAAC,SAAS,EAAE,SAAS2B,CAAC,EAAEvD,EAAE,aAAa0B,CAAC,EAAE8B,EAAE,EAAE,GAAGA,EAAE,OAAO9B,EAAE,OAAO,CAAC,IAAI0C,EAAEm0E,GAAG/2E,EAAEgC,CAAC,EAAEa,EAAE,CAAC,MAAM,KAAK,EAAE,MAAM;AAAA,QACvGkyE,GAAGnyE,EAAE,CAAC;AAAA,cACAvC;AAAA,iBACGA,KAAK22E,GAAGn0E,EAAEd,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAG/B,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBK;AAAA,qDACuCH,EAAE;AAAA,UAC7C42E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAIiC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAEk0E,GAAGz2E,CAAC,EAAE,OAAOsC,IAAI,EAAE,EAAE;AAAA,cACjCrC;AAAA,2CAC6BsC,YAAYvC;AAAA,oDACHA;AAAA,+BACrBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAYzC,EAAE;AAAA,4CACX+B;AAAA,6BACf7B;AAAA;AAAA,IAEzB6B,IAAI,EAAE,EAAE;AAAA,cACE5B;AAAA,2CAC6BsC,YAAYvC;AAAA,+CACRA;AAAA,+BAChBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAYzC,EAAE;AAAA,uCAChBwC;AAAA,6BACVtC;AAAA;AAAA,IAEzB,EAAE;AAAA,cACQC;AAAA;AAAA,4BAEcD,qBAAqBuC;AAAA,+BAClBvC,iBAAiBA;AAAA,+BACjBA;AAAA;AAAA,MAEzB;AAAA,UACIC;AAAA;AAAA,wBAEcH,EAAE,cAAcyC;AAAA,2BACbV,MAAMS;AAAA,2BACNtC;AAAA;AAAA,CAE1B,CAAC,SAASu1E,GAAI31E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,EAAE,CAAC,KAAK,KAAK,EAAE,GAAG,CAAC,EAAE,KAAK,KAAK,EAAE,GAAG,CAAC,CAAC,EAAE,GAAGE,EAAE,KAAK,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,MAAM,CAAC,EAAE2C,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAEi0E,GAAG/2E,EAAE4C,CAAC,EAAEoB,EAAE,CAAC,IAAI,MAAM,KAAK,EAAE,MAAM;AAAA,UACxOuxE,GAAGzyE,EAAE,CAAC;AAAA,eACDzC;AAAA,mBACIA,KAAK22E,GAAGhzE,EAAEnB,CAAC;AAAA;AAAA,OAEvB,CAAC,IAAId,EAAE6xE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACnBvzE;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA,0DACgBA;AAAA;AAAA;AAAA,eAG3C2B,EAAE,aAAa3B;AAAA;AAAA,IAE1B,IAAI4B,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,KAAK,KAAKxC,EAAE,GAAG,CAAC,EAAEyC,EAAED,EAAE,KAAK,KAAKxC,EAAE,GAAG,CAAC,EAAE,MAAM;AAAA,WAC3DG;AAAA;AAAA,UAED2B,MAAMC,MAAMU,MAAMD;AAAA,eACbX,EAAE,aAAa3B;AAAA;AAAA,GAE3B,CAAC,SAAS+0E,GAAIn1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,EAAE,GAAGA,EAAE,GAAG,EAAEA,EAAE,GAAG,CAAC,SAAS6B,EAAE,SAASC,CAAC,EAAExD,EAAE,aAAa0B,CAAC,EAAE+B,EAAEF,EAAE,GAAGE,EAAE,OAAO/B,EAAE,OAAO,CAAC,IAAI8D,EAAE+yE,GAAG/2E,EAAEiC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,OAAO,EAAE,MAAM;AAAA,UACpO8yE,GAAG/wE,EAAE,CAAC;AAAA,gBACA3D;AAAA,mBACGA,KAAK22E,GAAG,EAAEh1E,CAAC;AAAA;AAAA,OAEvB,CAAC,GAAGhC,EAAE,UAAU,UAAU,MAAM;AAAA,cACzBK;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7By2E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,SAAS2C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE7C,EAAE,UAAU,WAAW,GAAG4C,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrFxC;AAAA,wBACUD;AAAA;AAAA;AAAA;AAAA,0BAIEA,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,gBACUC;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExBuC,QAAQD;AAAA,iCACHvC;AAAA;AAAA,QAEzB,GAAGwC,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrBxC;AAAA,gDACkCD;AAAA;AAAA,uDAEOA,iBAAiBA;AAAA,+BACzCA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,8CACkCH,EAAE;AAAA;AAAA,qDAEK0C,QAAQD;AAAA,6BAChCvC;AAAA;AAAA,IAEzB,IAAI0C,EAAE+zE,GAAGz2E,CAAC,EAAE,OAAO,EAAE;AAAA,YACbC;AAAA;AAAA,sBAEUD,eAAeA;AAAA,sBACfA;AAAA,4DACsC0C;AAAA,6BAC/B1C,iBAAiBA;AAAA,6BACjBA;AAAA;AAAA,MAEvB;AAAA,cACQC;AAAA;AAAA,4BAEc,aAAa,eAAeyC;AAAA,+BACzBH,MAAMC;AAAA,+BACNxC;AAAA;AAAA,GAE5B,CAAC,SAASw1E,GAAI51E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAEuzE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACvFxzE;AAAA,0CAC+BF;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,oCAAoCA;AAAA;AAAA;AAAA,mGAGeG,EAAE,aAAaH;AAAA;AAAA,IAE9G,IAAI,EAAEF,EAAE,UAAU,aAAa,EAAE,EAAE,OAAO+B,EAAE/B,EAAE,UAAU,SAASgC,EAAE,CAAC,KAAK,KAAKD,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEE,EAAED,EAAE,GAAGU,EAAEV,EAAE,GAAGW,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAED,EAAE,KAAK,KAAK,EAAE,EAAE,GAAG,CAAC,EAAEE,EAAE,0BAA0BC,EAAE,OAAOF,mBAAmBD,gBAAgB,QAAQqB,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAInB,EAAE,QAAQmB,MAAMnB,EAAED,GAAG,EAAE,EAAEoB,EAAE,GAAGlB,EAAE,IAAIkB,OAAOpB,OAAOE,EAAE,MAAM;AAAA,WACtT1C,KAAKyC;AAAA,oBACIC;AAAA,2BACOJ;AAAA,kCACOA;AAAA,qDACmBA,MAAMT;AAAA,eAC5C5B,EAAE,aAAaH;AAAA;AAAA,GAE3B,CAAC,SAASk1E,GAAIp1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE6B,EAAE7B,EAAE,GAAG,EAAE,CAAC,SAAS8B,EAAE,SAASC,CAAC,EAAEzD,EAAE,aAAa0B,CAAC,EAAE,GAAG8B,EAAE,OAAO9B,EAAE,OAAO,CAAC,IAAI,EAAE62E,GAAG/2E,EAAEgC,CAAC,EAAEyC,EAAE,CAAC,MAAM,MAAM,QAAQ,QAAQ,EAAE,MAAM;AAAA,QACjPswE,GAAG,EAAE,CAAC;AAAA,cACA10E;AAAA,iBACGA,KAAK22E,GAAGvyE,EAAExC,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBK;AAAA;AAAA,iCAEmB0B,MAAM,MAAM;AAAA,UACnC+0E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,WAAW2C,EAAE3C,EAAE,UAAU,SAAS4C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAGG,EAAE,iBAAiB1C,aAAa4D,EAAE,iBAAiB5D,uBAAuB,EAAE,iBAAiBA,uBAAuB,GAAGyC,IAAId,GAAGW,GAAG,KAAK,OAAO,EAAE;AAAA,cACzMrC;AAAA,UACJyC;AAAA,UACAkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB5D,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEHwC,QAAQD;AAAA,+BACHxC;AAAA;AAAA,MAEzB,GAAGyC,IAAI,GAAGH,GAAG,KAAK,OAAO,EAAE;AAAA,cACnBrC;AAAA;AAAA,gCAEkBD,eAAeA,cAAcA;AAAA;AAAA;AAAA,yBAGpCA,iBAAiBA;AAAA,+BACXA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA,gCAEkBH,EAAE,GAAGA,EAAE,OAAOA,EAAE;AAAA;AAAA;AAAA,yBAGvB2C,QAAQD;AAAA,+BACFxC;AAAA;AAAA,MAEzB,IAAIkH,EAAEuvE,GAAGz2E,CAAC,EAAE,OAAO,EAAE;AAAA,YACfC;AAAA;AAAA,QAEJyC;AAAA,QACAkB;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB5D,iBAAiBA,yBAAyBkH;AAAA,6BAC1ClH;AAAA;AAAA,IAEzB;AAAA,YACQC;AAAA;AAAA,0BAEc0B,aAAa;AAAA,oBACnB;AAAA,6BACSa,MAAMC,cAAcyE;AAAA,6BACpBlH;AAAA;AAAA,GAE1B,CAAC,SAASi1E,GAAIr1E,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,EAAE,GAAG,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,GAAG,EAAE0B,EAAE,EAAE,GAAG,EAAE,CAAC,SAASC,EAAE,SAASC,CAAC,EAAEzD,EAAE,aAAa,CAAC,EAAE,GAAGwD,EAAE,OAAO,EAAE,OAAO,CAAC,IAAIgC,EAAE+yE,GAAG/2E,EAAEgC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,QAAQ,EAAE,MAAM;AAAA,QACjQ+yE,GAAG/wE,CAAC;AAAA,cACE5D;AAAA,iBACGA,KAAK42E,GAAG,EAAE/0E,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBI;AAAA;AAAA;AAAA,iBAGG2B,MAAM,MAAM,MAAM1B;AAAA;AAAA,UAEzBy2E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,WAAW2C,EAAE3C,EAAE,UAAU,SAAS4C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAId,GAAGW,GAAG,KAAK,MAAM;AAAA,cAClFtC;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAMC;AAAA;AAAA,0BAElBwC,QAAQD;AAAA,+BACH1C;AAAA;AAAA,MAEzB,GAAG2C,IAAIxC,GAAGqC,GAAG,KAAK,MAAM;AAAA,cAChBtC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE,OAAO,EAAE;AAAA;AAAA;AAAA,yBAGRyC,QAAQD;AAAA,+BACF1C;AAAA;AAAA,MAEzB,IAAI4C,EAAE+zE,GAAG32E,CAAC,EAAE,MAAM;AAAA,YACZE;AAAA;AAAA,0BAEc2B,aAAa,eAAe;AAAA,qBACjC1B,gBAAgByC;AAAA,6BACRF,MAAMC;AAAA,6BACN3C;AAAA;AAAA,GAE1B,CAAC,SAASo1E,GAAIt1E,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,CAAC,SAASG,EAAE,SAAS,CAAC,EAAE7B,EAAE,aAAa,CAAC,EAAE,GAAG6B,EAAE,OAAO,EAAE,OAAO,CAAC,IAAI,EAAE02E,GAAG/2E,EAAEK,CAAC,EAAEiH,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,SAAS,QAAQ,EAAE,MAAM;AAAA,QACxOytE,GAAG,CAAC;AAAA,cACE30E;AAAA;AAAA,iBAEGA,KAAK42E,GAAG1vE,EAAE,CAAC;AAAA;AAAA,KAEvB,CAAC,IAAI,EAAE,EAAE,GAAGvF,EAAE,EAAE,GAAG,EAAEC,EAAE,EAAE,GAAGD,EAAEE,EAAE,EAAE,GAAGD,EAAEU,EAAE,EAAE,GAAGT,EAAE,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACtEI;AAAA;AAAA;AAAA;AAAA,iBAIGsC,MAAMT,MAAMD,MAAMD;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACT+0E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI2C,EAAE3C,EAAE,UAAU,WAAW4C,EAAE5C,EAAE,UAAU,SAAS6C,EAAED,EAAE,GAAGE,EAAEF,EAAE,GAAG,GAAGE,IAAIJ,GAAGC,GAAG,KAAK,MAAM;AAAA,cAClFvC;AAAA;AAAA;AAAA;AAAA,iBAIG6B,MAAMD,MAAMD,MAAM;AAAA;AAAA;AAAA,0BAGTe,QAAQD;AAAA,+BACH3C;AAAA;AAAA,MAEzB,GAAG4C,IAAI,GAAGH,GAAG,KAAK,MAAM;AAAA,cAChBvC;AAAA;AAAA;AAAA,iBAGG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACjB,EAAE,GAAG,EAAE,GAAG,EAAE;AAAA,iBACZ,EAAE,GAAG,EAAE;AAAA,iBACP,EAAE;AAAA;AAAA;AAAA,yBAGM0C,QAAQD;AAAA,+BACF3C;AAAA;AAAA,MAEzB,IAAI8D,EAAE6yE,GAAG32E,CAAC,EAAE,MAAM;AAAA,YACZE;AAAA;AAAA;AAAA,0BAGcsC,aAAaT,eAAeD;AAAA,qBACjCD,gBAAgB,gBAAgBiC;AAAA,6BACxBnB,MAAMC;AAAA,6BACN5C;AAAA;AAAA,GAE1B,CAAC,SAAS42E,GAAG92E,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE1B,EAAE,cAAcwB,EAAE,UAAU,YAAY,EAAE,OAAOE,EAAE,EAAE,UAAU,KAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA,GAGd,CAAC,SAAS21E,GAAI71E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAEF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,MAAMD,EAAE,cAAc,EAAEJ,EAAE,UAAU,aAAa,OAAO,EAAE,EAAE,aAAa,OAAO+B,EAAEqyE,GAAGp0E,EAAE,UAAU,aAAa,EAAE,YAAY,EAAEgC,EAAEi1E,GAAG,CAAC,EAAEh1E,EAAE,EAAE,EAAES,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,IAAI,EAAED,EAAE,GAAG,EAAE,GAAGX,EAAE,QAAQ,EAAEW,EAAE,cAAcA,EAAEX,EAAE,IAAI+C,GAAG,UAAUnC,EAAEmC,EAAE7C,SAAS,EAAE,KAAK;AAAA,CAC1U,EAAE,IAAIW,EAAE,GAAG,EAAE,GAAG,EAAE,EAAEA,EAAE,SAASA,EAAE5C,EAAE,UAAU,aAAa,IAAI,CAAC8E,EAAEL,IAAI,UAAU9B,EAAE8B,EAAExC,IAAI,EAAE,KAAK,IAAI,EAAE,IAAIY,EAAE,sBAAsBmB,EAAExF,EAAE,cAAcwB,EAAE,UAAU,YAAY,IAAI,EAAEsH,EAAE9I,EAAE,cAAc,EAAE,YAAY,IAAI,EAAE,GAAG,IAAI,GAAG,CAACwF,GAAG,CAACsD,EAAEzE,EAAE;AAAA;AAAA,cAE5NmB,GAAG,CAACsD,EAAE,IAAI,EAAEzE,EAAE;AAAA;AAAA,QAEpBA,EAAE;AAAA;AAAA,gBAEMd,EAAE,OAAO,CAAC,IAAI+C,EAAE,EAAE,EAAEL,EAAE,EAAE,EAAE1C,EAAE,QAAQ+C,CAAC,EAAE,IAAI/C,EAAE,QAAQ0C,CAAC,EAAE,GAAG5B,EAAE,8BAA8Bd,EAAE,QAAQ+C,CAAC,EAAE,GAAGjC,EAAE,2EAA2Ed,EAAE,QAAQ0C,CAAC,EAAE,KAAK5B,EAAE,+CAA+C,CAAC,MAAM;AAAA,WACvQxC;AAAA,QACH2B;AAAA,QACAU;AAAA,8BACsBtC,KAAKwC;AAAA,QAC3BC;AAAA;AAAA,GAEL,CAAC,SAASizE,GAAI91E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAEF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,MAAMD,EAAE,cAAc,EAAE,EAAE,SAAS,EAAEJ,EAAE,UAAU,SAAS+B,EAAE/B,EAAE,UAAU,aAAa,OAAOgC,EAAE,EAAE,aAAa,OAAO,GAAG,CAAChC,EAAE,UAAU,WAAW+B,IAAIC,GAAGhC,EAAE,UAAU,YAAY,MAAMxB,EAAE,YAAY,EAAE,CAAC,EAAE,MAAM;AAAA,cAC3Q6B;AAAA,+BACiBH;AAAA;AAAA,MAEzB,IAAI+B,EAAEg1E,GAAGj1E,CAAC,EAAEU,EAAE0xE,GAAGp0E,EAAE,UAAU,aAAa,EAAE,YAAY,EAAE2C,EAAEX,EAAED,EAAEa,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAEd,IAAI,EAAEa,EAAE,GAAGZ,EAAE,GAAGU,EAAE,QAAQ,EAAEE,EAAE,cAAcA,EAAEF,EAAE,IAAIsB,GAAG,UAAUnB,EAAEmB,EAAErB,SAAS,EAAE,KAAK;AAAA,CACxL,EAAE,IAAIG,EAAE,GAAG,OAAOd,EAAE,GAAGD,EAAE,EAAEe,EAAE,SAASA,EAAE9C,EAAE,UAAU,aAAa,IAAI,CAACgE,EAAE,IAAI,UAAUnB,EAAE,EAAEF,IAAI,EAAE,KAAK,IAAI,EAAE;AAAA,YAChGtC;AAAA,QACJ4B;AAAA,QACAW;AAAA,kBACUxC,KAAK0C;AAAA;AAAA,GAEpB,CAAC,SAASm0E,GAAGj3E,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,MAAM,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,MAAM,MAAM,gBAAgBA,wBAAwB,CAAC,CAAC,SAASs0E,GAAGt0E,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,SAASE,EAAE,SAASC,CAAC,EAAE7B,EAAE,aAAa,CAAC,EAAE,EAAE,EAAE,OAAO,EAAEwB,GAAG,IAAI,GAAG,EAAE,KAAK,EAAE+B,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE3B,EAAE4B,EAAE,CAAChC,GAAG,EAAE,GAAG,CAACxB,EAAE,YAAY,EAAE0B,CAAC,GAAGE,EAAE,OAAO,GAAG,EAAE,MAAM,CAAC,gBAAgB4B,EAAE,aAAaA,EAAED,EAAE,EAAE,SAAS1B,CAAC,CAAC,CAAC,SAAS02E,GAAG/2E,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,MAAM,KAAK,UAAUF,CAAC,CAAC,EAAE,OAAOE,EAAE,UAAU,aAAa,EAAEA,CAAC,CAAC,SAAS82E,GAAGh3E,EAAE,EAAE,CAAC,OAAO,EAAE,IAAIE,GAAGF,EAAEE,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,SAASg3E,GAAGl3E,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,IAAI,CAACwC,EAAEC,IAAI,CAAC,IAAIC,EAAE,CAAC,aAAaF,EAAE,MAAM,SAASA,EAAE,UAAU,KAAKA,EAAE,QAAQ,SAAS,UAAUA,EAAE,UAAU,SAASA,EAAE,UAAU,GAAGA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE,OAAOA,EAAE,SAAS,MAAMA,EAAE,QAAQ,OAAO,MAAMA,EAAE,QAAQ,MAAM,WAAW,IAAIE,EAAE,WAAWF,EAAE,QAAQ,MAAM,YAAY,CAAC,KAAK,EAAE,cAAcC,GAAG,UAAUC,CAAC,CAAC,CAAC,EAAE,EAAEvC,EAAE,IAAIqC,GAAGA,EAAE,SAAS,EAAE,EAAE,CAAC,aAAatC,EAAE,MAAM,SAASA,EAAE,QAAQ,SAAS,UAAU,GAAG,SAASA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE2B,EAAEsyE,GAAGh0E,EAAE,EAAE,CAAC,EAAE2B,EAAE+tE,GAAG/vE,EAAE,GAAG+B,CAAC,EAAEE,EAAEjC,EAAE,cAAcgC,CAAC,EAAE,OAAOpQ,EAAE,EAAE,IAAI,qBAAqB,EAAE,CAAC,QAAQ,EAAE,eAAeoQ,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,EAAE,iBAAiB,KAAK,uBAAuB,KAAK,OAAO,KAAK,OAAO,KAAK,kBAAkB,KAAK,qBAAqB,KAAK,iBAAiB,KAAK,wBAAwB,KAAK,oBAAoB,IAAI,EAAE,OAAO,OAAO,CAAC,QAAQ,EAAE,eAAeD,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,CAAC,EAAEk1E,GAAGn3E,EAAE,EAAEiC,CAAC,CAAC,CAAC,CAAC,SAASk1E,GAAGn3E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,KAAKC,EAAE,KAAKA,EAAE3C,EAAE,mBAAmBE,EAAE,MAAM,EAAE,EAAEtO,EAAE,EAAE,UAAU,eAAe,IAAI,IAAI8Q,EAAE1C,EAAE,mBAAmBE,EAAE,WAAW,EAAE,GAAG,IAAI0C,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,GAAGzC,EAAE0C,GAAG9C,EAAE,mBAAmBE,EAAE4C,EAAEF,CAAC,EAAExC,EAAE,SAAS0C,KAAK9C,EAAE,mBAAmBE,EAAE,SAAS4C,IAAIF,CAAC,EAAE,EAAE,sBAAsBvC,EAAE,GAAGyC,UAAU9C,EAAE,mBAAmBE,EAAE,GAAG4C,SAASF,CAAC,EAAE,EAAE,GAAGE,aAAa9C,EAAE,mBAAmBE,EAAE,GAAG4C,YAAYF,CAAC,EAAE,CAAC,OAAO,EAAE,sBAAsBb,EAAE/B,EAAE,mBAAmBE,EAAE,WAAW0C,CAAC,EAAEX,EAAEjC,EAAE,mBAAmBE,EAAE,kBAAkB0C,CAAC,EAAEZ,EAAEhC,EAAE,mBAAmBE,EAAE,cAAc0C,CAAC,GAAG,EAAE,gBAAgB,EAAE,eAAe,QAAQ,CAACC,EAAEC,IAAI,CAAC,EAAEA,GAAG9C,EAAE,mBAAmBE,EAAE2C,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAE,CAAC,iBAAiBxC,EAAE,uBAAuB,EAAE,OAAOsC,EAAE,OAAOC,EAAE,kBAAkBtC,EAAE,qBAAqB,EAAE,iBAAiB0B,EAAE,wBAAwBE,EAAE,oBAAoBD,CAAC,CAAC,CAAC,SAASo1E,GAAGp3E,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,MAAM,4BAA4BA,EAAE,wCAAwC,EAAE,eAAe,EAAEA,EAAE,QAAQ,CAACE,EAAEE,IAAI,CAAC,IAAIC,EAAEH,EAAE,aAAa,EAAE,EAAEE,GAAG,EAAE,EAAE,MAAM,GAAG,CAAC5B,EAAE,YAAY6B,EAAE,CAAC,EAAE,MAAM,MAAM,2EAA2EA,SAAS,cAAc,EAAE,GAAGH,EAAE,WAAW,EAAE,UAAU,OAAO,IAAI6B,EAAE7B,EAAE,SAAS8B,EAAE,EAAE,UAAU,KAAK,EAAE,QAAQ,SAAS,GAAG,CAACxD,EAAE,YAAYuD,EAAEC,CAAC,EAAE,MAAM,MAAM,kFAAkFD,SAASC,cAAc,CAAC,CAAC,CAAC,CAAC,SAASq1E,GAAGr3E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,EAAE,QAAQ,sBAAsB+2E,GAAG,EAAE,aAAal3E,CAAC,EAAEk3E,GAAG,CAAC,EAAE,YAAY,EAAE,CAACh3E,CAAC,CAAC,GAAG,IAAI,EAAEA,EAAE,QAAQ,QAAQ,EAAEA,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAASJ,EAAE,6BAA6B,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,uBAAuB,EAAE,QAAQ,EAAE,GAAG,EAAE,EAAE,EAAEA,EAAE,WAAW,EAAE,YAAY,EAAEpO,EAAE,EAAE,UAAU,eAAe,IAAI,GAAG,EAAE,SAAS,MAAMoO,EAAE,GAAG,UAAU,EAAE,OAAO,EAAE,CAAC,EAAE,EAAE,SAAS,MAAMA,EAAE,GAAG,UAAU,EAAE,OAAO,GAAG,EAAEE,EAAE,QAAQ,CAAC8B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,QAAQ,cAAcT,GAAGU,EAAE,EAAE,iBAAiBD,GAAGE,EAAE,EAAE,iBAAiB,SAASF,KAAKG,EAAE,EAAE,kBAAkB,GAAGH,UAAUI,EAAE,EAAE,qBAAqB,GAAGJ,aAAa,GAAGG,EAAE,CAAC,GAAG,CAAC,aAAamB,CAAC,EAAEswE,GAAG,EAAE,QAAQ,aAAatyE,EAAE,MAAMA,EAAE,QAAQ,QAAQ,EAAE,OAAOgC,EAAE,OAAO,CAAC,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,GAAGlB,GAAG9C,EAAE,GAAG,UAAU8C,EAAEd,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAEW,GAAG,KAAK,CAAC,GAAGX,EAAE,UAAU,CAAC,GAAGxD,EAAE,cAAcwD,EAAE,KAAK,EAAE,EAAEhC,EAAE,GAAG,UAAU2C,EAAEX,EAAE,cAAc,EAAE,MAAM,CAAC,IAAIgC,EAAEhC,EAAE,cAAcgC,aAAa,eAAeA,EAAE,IAAI,aAAaA,CAAC,GAAGhE,EAAE,GAAG,WAAW2C,EAAEqB,CAAC,CAAC,CAAC,MAAM,CAAChC,EAAE,QAAQ,OAAO,MAAMY,GAAG,MAAM5C,EAAE,GAAG,UAAU4C,EAAEZ,EAAE,QAAQ,MAAM,UAAU,EAAEhC,EAAE,sBAAsBgC,EAAE,QAAQ,QAAQ,QAAQW,EAAEV,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIF,EAAE,EAAE,iBAAiB,GAAGA,EAAE,OAAO3B,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,GAAG,EAAE,wBAAwB,CAAC,IAAI4B,EAAExD,EAAE,eAAe4B,EAAE,KAAK,EAAE,OAAOA,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEJ,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,EAAE,qBAAqBhC,EAAE,GAAG,UAAU,EAAE,oBAAoBI,EAAE,QAAQ,SAAS,GAAGA,EAAE,QAAQ,SAAS,EAAE,EAAE,EAAE,QAAQ,gBAAgBC,GAAG,EAAE,QAAQ,eAAe,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,uBAAuBT,GAAGU,EAAEtC,EAAE4B,GAAG,GAAGD,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,MAAMhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,MAAO,OAAM,MAAM,gBAAgBX,EAAE,4BAA4B,CAAC,CAAC,EAAEhC,EAAE,eAAe,CAAC,CAAC,SAASs3E,GAAGt3E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,GAAG,EAAE,OAAOF,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAI6B,EAAE,EAAE,SAAS,MAAM,EAAE,QAAQ,OAAO,MAAM,EAAE,QAAQ,MAAM,WAAW,EAAE,GAAG/B,EAAE,qBAAqB,CAAC,EAAE,UAAU,CAAC,IAAIgC,EAAE,EAAE,QAAQ,SAAS,CAAC,gBAAgBC,EAAE,aAAaS,EAAE,SAASC,CAAC,EAAE2xE,GAAGt0E,EAAE,aAAa,EAAE,MAAMgC,CAAC,EAAEY,EAAE,GAAGC,EAAE,GAAGC,EAAE,GAAG,GAAGJ,EAAE,SAAS,GAAG1C,EAAE,aAAa,CAAC,IAAI2E,EAAE,CAAC,KAAK,KAAK3C,EAAE,GAAG,CAAC,EAAE,KAAK,KAAKA,EAAE,GAAG,CAAC,CAAC,EAAEY,EAAE,GAAG+B,EAAE,GAAG,KAAKA,EAAE,GAAG,GAAG,SAASjC,EAAE,SAAS,GAAG,CAAC1C,EAAE,aAAa6C,EAAE,GAAGH,EAAE,GAAG,KAAKA,EAAE,GAAG,YAAYA,EAAE,OAAO,GAAG,CAAC1C,EAAE,aAAa,CAAC,IAAI2E,EAAEnG,EAAE,eAAekE,CAAC,EAAEI,EAAE,GAAG6B,EAAE,KAAK3C,EAAE,MAAM2C,EAAEA,EAAE,OAAO,KAAK3C,EAAE,IAAI,CAAC,IAAIgC,EAAE,EAAE,MAAM,OAAO,EAAEtB,EAAE,SAAS,GAAGlE,EAAE,YAAY,EAAE,MAAMwD,CAAC,EAAEsF,EAAE9I,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,EAAExQ,EAAE,iBAAiB,EAAE,MAAMkS,EAAE,KAAK,EAAEuE,EAAE,CAACzE,EAAE,cAAcgE,IAAI9D,EAAE,MAAM,QAAQ1B,EAAE,YAAYwD,EAAE9B,EAAE,QAAQ,QAAQ,EAAEwE,EAAE1E,EAAE,cAAc0C,EAAE,OAAO,EAAE,GAAG,GAAGV,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI5B,GAAG,GAAG4D,KAAKS,KAAKxC,EAAEU,EAAE,MAAMD,EAAE,UAAU4E,KAAK,KAAK,KAAK1E,KAAKC,KAAKC,KAAK4B,KAAK3C,GAAG,KAAK,CAAC,IAAIC,EAAE,EAAE,UAAU,UAAU,EAAE,QAAQ,SAAS5B,GAAG,GAAG,EAAE,SAAS4B,KAAKD,GAAG,CAAC,CAAC,EAAE,IAAI1B,EAAEL,EAAE,SAAS,EAAEA,EAAE,YAAY,KAAK,OAAO,GAAG,IAAII,EAAE,IAAIC,EAAE,GAAGzO,EAAE,EAAE,UAAU,eAAe,IAAI,CAAC,CAAC,SAAS2lF,GAAGv3E,EAAE,CAAC,OAAOpO,EAAE,EAAE,QAAQ,2BAA2B,GAAGoO,GAAG,CAAC,CAAC,IAAIw3E,GAAG,KAAK,CAAC,YAAY52E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiB2xE,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIryE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE30N,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAElzE,CAAC,EAAEizE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEjzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DV,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMu3E,GAAG,KAAK,CAAC,YAAY72E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiB2xE,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIryE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAElR,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAElzE,CAAC,EAAEizE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEjzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DV,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMw3E,GAAG,KAAK,CAAC,YAAY92E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY4xE,GAAG,SAAS,IAAItyE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,SAAS;AAAA,QAC9HuzE;AAAA;AAAA;AAAA;AAAA,UAIEj0E,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMy3E,GAAG,KAAK,CAAC,YAAY/2E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY4xE,GAAG,SAAS,IAAItyE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,SAAS;AAAA,QACxKuzE;AAAA;AAAA;AAAA;AAAA;AAAA,UAKEj0E,EAAE;AAAA;AAAA,KAEP,CAAC,EAAM03E,GAAI,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEC,GAAG,KAAK,CAAC,YAAYj3E,EAAEV,EAAE,GAAG,EAAE,OAAO,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIG,EAAEuzE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI11E,EAAE,SAAS3B,IAAI2B,EAAE,8BAA8B,IAAIC,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,GAAGD,GAAG;AAAA,yBACtTC;AAAA,8BACK61E,GAAI51E;AAAA,YACtB,CAAC,KAAK,SAAS;AAAA,QACnB,KAAK,oBAAoBkyE,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uCAMH,EAAE;AAAA;AAAA,sCAEH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMdP,EAAE;AAAA,YAChByB;AAAA;AAAA,UAEFzB,EAAE,iBAAiBwB;AAAA;AAAA,KAExB,CAAC,EAAMi2E,GAAG,KAAK,CAAC,YAAYl3E,EAAEV,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIl3E,EAAE,GAAGwB,EAAE,SAAS3B,IAAI2B,EAAE,8BAA8B,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE1B,GAAG;AAAA;AAAA,gCAEtU0B,OAAO,KAAK,oBAAoB,cAAc,GAAGnB,EAAE;AAAA,8BACrDmB;AAAA,iCACGD,OAAO,KAAK,oBAAoB,cAAc,GAAGlB,EAAE;AAAA,gCACpDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGFE;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA;AAAA;AAAA,SAId,CAAC,KAAK,SAAS;AAAA,UACd,KAAK,oBAAoBkyE,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhCP;AAAA;AAAA,YAEA,EAAE,YAAYwB;AAAA;AAAA,KAErB,CAAC,EAAMzO,GAAG,CAAC,EAAE6M,GAAG7M,GAAG,CAAC,kCAAkC,IAAI2kF,GAAG,8BAA8B,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,sCAAsC,IAAIC,GAAG,+BAA+B,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,wCAAwC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,yBAAyB,IAAIC,EAAE,CAAC,EAAE,SAASX,GAAGx4E,EAAE,CAAC,IAAI,EAAE4zE,GAAG,EAAE1zE,EAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,OAKD,OAAOmwE,GAAGrwE,EAAEE,CAAC,CAAC,CAAC,SAASq4E,GAAGv4E,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa,CAAC,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOmwE,GAAGnwE,EAAE,CAAC,CAAC,CAAC,SAASo4E,GAAGp4E,EAAE,CAAC,IAAI,EAAE,IAAI,YAAY,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOkwE,GAAGlwE,EAAE,CAAC,CAAC,CAAC,SAASo5E,GAAGp5E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC4xE,GAAG,EAAE/xE,CAAC,EAAE,IAAI,EAAEkwE,GAAGpwE,CAAC,EAAE+B,EAAE/B,EAAE,WAAW,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAY+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEpO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,WAAW+B,EAAE,EAAE3B,EAAE,EAAEF,EAAE,EAAEG,EAAE,EAAE,IAAI,CAAC,EAAEwvE,GAAG7vE,EAAE,IAAIA,EAAE,aAAa+B,EAAE,EAAE3B,EAAE,EAAEF,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,EAAE,CAAC,QAAQ,EAAE,SAAS,CAACE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS64E,GAAG/4E,EAAE,CAAC,OAAOA,EAAE,mBAAmB,CAAC,SAASm4E,GAAGn4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE04E,GAAG34E,CAAC,EAAEA,EAAE,mBAAmBJ,EAAE,KAAK,CAAC,CAAC,SAAS64E,GAAG74E,EAAE,CAAC,OAAOA,EAAE,uBAAuB,CAAC,SAASi4E,GAAGj4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAEw4E,GAAGz4E,CAAC,EAAEA,EAAE,mBAAmBA,EAAE,oBAAoB,CAAC,CAAC,SAAS64E,GAAGj5E,EAAE,CAAC,OAAOA,EAAE,qBAAqB,CAAC,SAASs4E,GAAGt4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE44E,GAAG74E,CAAC,EAAEJ,EAAE,KAAKA,EAAE,aAAa,CAAC,CAAC,SAASg5E,GAAGh5E,EAAE,CAAC,OAAOA,EAAE,yBAAyB,CAAC,SAASq4E,GAAGr4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEwyE,GAAG,EAAE3yE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE24E,GAAG54E,CAAC,EAAEJ,EAAE,KAAKA,EAAE,KAAK,CAAC,CAAC,SAAS84E,GAAG94E,EAAE,CAAC,OAAOA,EAAE,6BAA6B,CAAC,SAASk4E,GAAGl4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEwyE,GAAG,EAAE3yE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAEy4E,GAAG14E,CAAC,EAAEJ,EAAE,KAAKI,EAAE,oBAAoB,CAAC,CAAC,SAAS23E,GAAG/3E,EAAE,EAAEE,EAAE,CAAC,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAE0vE,GAAG5vE,EAAE,EAAE,eAAeE,EAAE,EAAE,GAAG,CAAC,GAAG0vE,GAAG5vE,EAAE,EAAE,KAAKE,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,SAASg5E,GAAGl5E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACwvE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAE,IAAI,EAAE+B,EAAEC,EAAE3B,aAAa,YAAY,EAAE,IAAI,WAAWH,EAAEE,EAAE,CAAC,EAAE2B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,OAAO,EAAE,IAAI,aAAaE,EAAEE,EAAE,CAAC,EAAE2B,EAAE/B,EAAE,MAAMgC,EAAE,EAAE,2BAA2B,EAAE,IAAI3B,CAAC,EAAEzO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAEE,EAAEJ,EAAE,KAAK+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEgC,EAAE9B,EAAEE,EAAE,EAAEJ,EAAE,KAAK+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASm5E,GAAGn5E,EAAE,EAAEE,EAAE,CAAC2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAEE,EAAE,gBAAgB,WAAWtO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAE,MAAMA,EAAE,OAAOF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKE,EAAE,MAAMA,EAAE,OAAO,EAAEF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEtO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASg4E,GAAGh4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,EAAE,aAAa,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBK,CAAC,CAAC,EAAE,IAAI0B,EAAE,EAAE,EAAE,EAAE7B,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB+B,EAAE/B,EAAE,WAAW,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAM,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB,IAAI,CAAC,EAAEK,CAAC,CAAC,SAASq4E,GAAG14E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEK,EAAE,IAAI,aAAaH,CAAC,EAAE,OAAOE,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAASo4E,GAAGz4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,EAAE,EAAE6B,EAAE,IAAI,WAAW4wE,GAAG,EAAEzyE,EAAE,CAAC,CAAC,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEK,EAAE,EAAED,EAAE,sBAAsBJ,EAAE,cAAc+B,CAAC,CAAC,EAAE,IAAI,aAAaA,EAAE,MAAM,CAAC,CAAC,SAAS62E,GAAG54E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAEhC,EAAEiC,EAAE,IAAI,aAAa6wE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO9wE,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAAS02E,GAAG34E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAa,EAAEF,EAAE,CAAC,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAMI,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIxb,GAAG,KAAK,CAAC,YAAYgc,EAAE,CAAC,KAAK,cAAc,KAAK,KAAK,QAAQ,KAAK,KAAK,SAAS,GAAG,KAAK,YAAY,CAAC,EAAE,IAAIV,EAAEtO,EAAE,EAAE,UAAU,eAAe,EAAE,GAAGgP,GAAG,MAAM,KAAK,GAAGA,EAAE5F,GAAGkF,EAAEU,CAAC,GAAG,KAAK,GAAGwxE,GAAGlyE,CAAC,EAAEU,EAAE,KAAK,GAAGhP,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAIiQ,EAAEjB,EAAE,KAAK,kBAAkB,IAAIivE,GAAGhuE,EAAE,IAAIA,EAAE,kBAAkB,CAAC,EAAE,KAAK,gBAAgBC,GAAG+tE,GAAGhuE,EAAE,IAAIA,EAAE,gBAAgBC,CAAC,CAAC,EAAE,KAAK,kBAAkBA,GAAG+tE,GAAGhuE,EAAE,IAAIA,EAAE,kBAAkBC,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI+tE,GAAGhuE,EAAE,IAAIA,EAAE,aAAaA,EAAE,oBAAoB,CAAC,CAAC,SAASjB,GAAG,KAAK,CAAC,IAAIiB,EAAEjB,EAAE,aAAa,yBAAyB,EAAE,GAAGiB,GAAG,KAAK,MAAM,IAAI,MAAM,2EAA2E,EAAE,KAAK,kBAAkB,IAAIguE,GAAGjvE,EAAE,IAAIiB,EAAE,qBAAqB,CAAC,EAAE,KAAK,gBAAgBC,GAAG+tE,GAAGjvE,EAAE,IAAIiB,EAAE,mBAAmBC,CAAC,CAAC,EAAE,KAAK,kBAAkBA,GAAG+tE,GAAGjvE,EAAE,IAAIiB,EAAE,qBAAqBC,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI+tE,GAAGjvE,EAAE,IAAIA,EAAE,aAAaiB,EAAE,wBAAwB,CAAC,CAAC,CAAC,IAAI,EAAE,2BAA2BxB,EAAE,8BAA8B,GAAG,KAAK,6BAA6B,KAAK,GAAG,aAAa,6BAA6B,EAAEzO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAIiQ,EAAE,oBAAoBC,EAAE,yBAAyB,GAAG,KAAK,sBAAsByuE,GAAG,KAAK,GAAG1uE,CAAC,EAAEsvE,GAAG,KAAK,GAAGrvE,CAAC,EAAE,KAAK,0BAA0ByuE,GAAG,KAAK,GAAGzuE,CAAC,UAAUlQ,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,oHAAoH,EAAE,GAAG,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,EAAEu/E,GAAG,KAAK,GAAG9wE,CAAC,EAAE,KAAK,8BAA8BkwE,GAAG,KAAK,GAAGlwE,CAAC,UAAUzO,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,6HAA6H,CAAC,SAAS,EAAE,yBAAyBu/E,GAAG,KAAK,GAAG,CAAC,EAAE,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,UAAUA,GAAG,KAAK,GAAG9wE,CAAC,EAAE,KAAK,8BAA8B,KAAK,GAAG,aAAaA,CAAC,MAAO,OAAM,IAAI,MAAM,qDAAqD,EAAE,KAAK,aAAak4E,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYH,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYpI,GAAG,KAAK,EAAE,EAAE,KAAK,cAAc+C,GAAG,KAAK,GAAG,KAAK,yBAAyB,CAAC,CAAC,IAAI,OAAO,CAAC,OAAOnhF,EAAE,EAAE,QAAQ,OAAO,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,SAAS,OAAO,KAAK,SAAS,MAAM,QAAQ,KAAK,sKAAsK,EAAE,KAAK,eAAe,MAAM,QAAQ,KAAK,oMAAoM,EAAE,IAAIgP,EAAE,KAAK,GAAGivE,GAAGjvE,EAAE,IAAIA,EAAE,OAAO,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,kBAAkB,KAAK,WAAW,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,aAAa,KAAK,WAAW,CAAC,EAAE,KAAK,SAAS,EAAE,CAAC,2BAA2BA,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi4E,GAAG,KAAK,GAAGv3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,2BAA2BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+3E,GAAG,KAAK,GAAGr3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEo4E,GAAG,KAAK,GAAG13E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,yBAAyBU,EAAEV,EAAE,CAAC,KAAK,gBAAgB,EAAEi5E,GAAG,KAAK,GAAGv4E,EAAEV,CAAC,CAAC,CAAC,2BAA2BU,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,gBAAgB,EAAE64E,GAAG,KAAK,GAAGt4E,EAAEV,EAAE,EAAEG,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCO,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg4E,GAAG,KAAK,GAAGt3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,0BAA0BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEm4E,GAAG,KAAK,GAAGz3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,oBAAoBU,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,gBAAgBA,IAAIixE,GAAG,KAAK,GAAG,KAAK,WAAW,EAAE,KAAK,cAAc,MAAMhC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcjvE,CAAC,CAAC,CAAC,CAAC,gDAAgDA,EAAEV,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBU,EAAE,IAAI63E,GAAG,KAAK,GAAGv4E,EAAE,EAAE,KAAK,aAAa,CAAC,CAAC,CAAC,+BAA+BU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,OAAO82E,GAAG,KAAK,GAAGh4E,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,KAAK,aAAa,CAAC,CAAC,gCAAgClB,EAAEV,EAAE,CAAC,OAAOw4E,GAAG,KAAK,GAAG93E,EAAEV,CAAC,CAAC,CAAC,wBAAwBU,EAAEV,EAAE,EAAE,CAAC,KAAK,yBAAyBU,CAAC,EAAE,IAAIP,EAAE23E,GAAG,KAAK,GAAG93E,EAAE,EAAE,KAAK,aAAa,EAAE,OAAO,KAAK,2BAA2B,EAAEG,CAAC,CAAC,uBAAuB,CAAC,IAAIO,EAAE,KAAK,YAAY,KAAK,EAAE,EAAE,OAAO,KAAK,UAAUA,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,IAAIV,EAAE,EAAE,GAAGtO,EAAE,EAAE,QAAQ,yBAAyB,EAAE,CAAC,IAAIyO,EAAEO,EAAEiB,EAAExB,EAAE,UAAUA,EAAE,2BAA2B,CAAC,EAAEO,EAAE,MAAM,EAAE,EAAE,IAAI,CAAC,IAAIkB,EAAEzB,EAAE,eAAewB,EAAE,EAAE,CAAC,EAAE,OAAOC,IAAIzB,EAAE,kBAAkByB,IAAIzB,EAAE,mBAAmB,EAAEH,EAAE2B,CAAC,MAAMjQ,EAAE,EAAE,UAAU,8CAA8C,EAAE,GAAGsO,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS,EAAE,EAAE,IAAI,KAAK,iBAAiBA,EAAEtO,EAAE,EAAE,UAAU,8CAA8C,CAAC,GAAG,EAAE,IAAI,GAAG,MAAM,CAAC,MAAMsO,EAAE,cAAc,CAAC,CAAC,CAAC,gCAAgCU,EAAEV,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBU,EAAE,IAAI+3E,GAAG,KAAK,GAAGz4E,EAAE,CAAC,CAAC,CAAC,CAAC,cAAcU,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIV,EAAE,KAAK,GAAG,KAAK,cAAc,OAAO,KAAK,aAAas4E,GAAGt4E,CAAC,GAAG,IAAI,EAAE+vE,GAAG/vE,CAAC,EAAE2vE,GAAG3vE,EAAE,IAAIA,EAAE,aAAa,EAAE,KAAK,YAAY,CAAC,EAAE2vE,GAAG3vE,EAAE,IAAIA,EAAE,aAAa,EAAEU,CAAC,CAAC,EAAE6wE,GAAGvxE,EAAE,CAAC,EAAE,IAAIG,EAAE,OAAOA,EAAE,OAAO,OAAO,EAAE,CAAC,IAAI,KAAK,kBAAkB,CAAC,CAAC,EAAE,KAAK,gBAAgBA,EAAE,GAAG,EAAEwvE,GAAG3vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,KAAK,WAAW,CAAC,EAAE,QAAQ,OAAO63E,GAAG73E,EAAEG,EAAE,KAAK,YAAY,EAAE,oEAAoE,EAAE,KAAK,OAAO2xE,GAAG9xE,EAAEG,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAEA,CAAC,CAAC,cAAcO,EAAE,CAAC,KAAK,gBAAgB,EAAEA,IAAI,KAAK,UAAU,KAAK,QAAQ,MAAMA,GAAG,OAAOivE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcjvE,CAAC,CAAC,EAAE,KAAK,kBAAkBA,EAAE,GAAG,EAAE,CAAC,WAAWA,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,QAAQA,EAAE,KAAK,SAAS,OAAO,KAAK,gBAAgB,KAAK,QAAQ,GAAG,EAAE,KAAK,OAAOoxE,GAAG,KAAK,GAAG,KAAK,OAAO,GAAGnC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,WAAWjvE,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAEV,EAAE,EAAE,GAAG,CAAC,OAAO,KAAK,gBAAgB,EAAE,EAAE0wE,GAAG,KAAK,GAAGhwE,EAAEV,CAAC,EAAEywE,GAAG,KAAK,GAAG/vE,EAAEV,CAAC,CAAC,CAAC,qBAAqBU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2vE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,kBAAkBjvE,EAAEV,CAAC,CAAC,CAAC,CAAC,0BAA0BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE,KAAK,GAAG,mBAAmBU,EAAEV,CAAC,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAEwvE,GAAG,KAAK,GAAG9uE,EAAEV,EAAE,CAAC,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,EAAE,CAAC,KAAK,6BAA6BU,EAAE,EAAEV,CAAC,CAAC,CAAC,6BAA6BU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,GAAG,CAACG,EAAEwB,CAAC,EAAEgxE,GAAG3yE,EAAE,CAAC,EAAE,KAAK,6BAA6BU,EAAEP,EAAEwB,CAAC,CAAC,CAAC,2BAA2BjB,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,iCAAiC,EAAEO,EAAEP,EAAEH,CAAC,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,EAAEG,EAAE,CAAC,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,eAAe,CAAC,KAAK,SAAS,MAAM2xE,GAAG,KAAK,GAAG,KAAK,OAAO,EAAED,GAAG,KAAK,EAAE,CAAC,CAAC,gBAAgB,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAE,IAAInxE,EAAE,KAAK,GAAG,GAAG,KAAK,MAAM,CAAC,IAAIV,EAAE,KAAK,eAAe,EAAE,QAAQ,OAAOA,IAAI,KAAK,QAAQ,IAAI,oDAAoD,EAAE,KAAK,cAAc,CAAC,CAAC2vE,GAAGjvE,EAAE,IAAIA,EAAE,aAAaA,EAAE,UAAU,EAAEA,EAAE,eAAe,CAAC,CAAC,CAAC,CAAC,gCAAgC,CAAC,KAAK,gBAAgB,EAAEivE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,OAAO,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,6BAA6B,OAAO,KAAK,4BAA4BU,GAAG,KAAK,GAAG3+E,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,kCAAkC,0BAA0B,GAAG,KAAK,2BAA2B,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,YAAY,CAAC,GAAGA,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGyO,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,YAAY,EAAE,OAAO,EAAE,WAAWxB,EAAE,iBAAiBwB,CAAC,EAAEA,CAAC,CAAC,IAAIjB,EAAE,KAAK,6BAA6B,EAAEV,EAAEU,EAAE,eAAe,EAAE,OAAOA,EAAE,cAAcA,EAAE,iBAAiBV,CAAC,EAAEA,CAAC,CAAC,UAAU,CAAC,GAAGtO,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAIsO,EAAE,KAAK,GAAG,EAAE,KAAK,6BAA6B,EAAEA,EAAE,SAAS,EAAE,gBAAgB,EAAE,MAAM,CAAC,IAAIU,EAAE,KAAK,6BAA6B,EAAEA,EAAE,YAAYA,EAAE,gBAAgB,CAAC,CAAC,MAAM,uBAAuBA,EAAE,CAAC,OAAO,MAAMpC,EAAE,YAAY,IAAI,KAAK,UAAU,KAAK,iBAAiBoC,EAAEhP,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,EAAE,KAAK,aAAagP,EAAEhP,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,CAAC,aAAagP,EAAEV,EAAE,CAAC,GAAGA,IAAI,EAAE,OAAO,KAAK,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAG,OAAO,EAAE,kBAAkBU,EAAE,EAAE,YAAY,EAAE,GAAG,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAE,OAAO,EAAE,kBAAkBA,EAAE,EAAE,gBAAgB,EAAE,GAAG,CAAC,CAAC,iBAAiBA,EAAEV,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGG,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,kBAAkBjB,EAAE,EAAE,sBAAsB,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAaP,EAAE,gBAAgB,GAAGwB,GAAG,CAAC,KAAK,QAAQ,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAExB,EAAE,EAAE,kBAAkBO,EAAE,EAAE,0BAA0B,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,GAAGP,GAAG,CAAC,KAAK,QAAQ,CAAC,CAAC,UAAUO,EAAE,CAAC,OAAO,IAAI,QAAQV,GAAG,CAAC,KAAK,cAAc,IAAIU,EAAE,cAAc,EAAE,IAAIV,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAEy4E,GAAI,KAAK,YAAY,IAAIn5E,GAAGA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,EAAEA,GAAGU,EAAE,EAAEV,EAAE,CAAC,GAAG,CAAC,UAAU,CAAC,EAAE,KAAK,YAAYA,GAAG,EAAE,CAAC,CAAC,KAAK,YAAY,KAAK,YAAY,MAAMU,EAAE,CAAC,CAAC,CAAC,cAAcA,EAAEV,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,CAAC,SAASU,EAAE,UAAUV,CAAC,CAAC,EAAE,KAAK,YAAY,OAAO,EAAE,OAAO,IAAI,EAAE,qBAAqBtO,EAAE,EAAE,WAAW,EAAEA,EAAE,EAAE,SAAS,iBAAiB,KAAKA,EAAE,EAAE,QAAQ,GAAG4M,EAAE,YAAY,KAAK,KAAK,UAAU,EAAE,KAAK,YAAY,SAAS,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,yBAAyBoC,EAAE,CAAC,KAAK,gBAAgB,EAAE6uE,GAAG,KAAK,GAAG7uE,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOmxE,GAAG,KAAK,EAAE,CAAC,CAAC,4BAA4B,CAAC,KAAK,eAAe,MAAMtC,GAAG,KAAK,GAAG,KAAK,cAAc,KAAK,WAAW,EAAE,KAAK,OAAOsC,GAAG,KAAK,EAAE,GAAGF,GAAG,KAAK,GAAG,KAAK,WAAW,CAAC,CAAC,qBAAqBjxE,EAAEV,EAAE,CAAC,KAAK,yBAAyBU,CAAC,EAAE,IAAI,EAAEV,EAAE,EAAE,OAAO,KAAK,2BAA2B,EAAE,CAAC,CAAC,6BAA6BU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIG,EAAE,KAAK,GAAGovE,GAAGpvE,EAAEO,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOmxE,GAAG1xE,CAAC,EAAE,KAAK,cAAcO,EAAEivE,GAAGxvE,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEH,EAAE,CAAC,CAAC,EAAE2vE,GAAGxvE,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEH,EAAE,CAAC,CAAC,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,gBAAgB,EAAEwvE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,QAAQjvE,EAAEV,EAAE,EAAEG,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,GAAG,KAAK,SAAS,MAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,kBAAkB,CAAC,GAAG,KAAK,SAAS,KAAK,MAAM,IAAI,MAAM,kCAAkC,CAAC,CAAC,EAAE,SAASg5E,GAAIr5E,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,CAAC,GAAG,CAAC,QAAQs5E,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,SAASC,GAAG,SAASC,GAAG,WAAWC,GAAG,UAAUC,GAAG,QAAQC,GAAG,UAAUC,GAAG,UAAUC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,cAAcC,GAAG,aAAaC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,QAAQC,GAAG,aAAaC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,yBAAyBC,GAAG,UAAUC,GAAG,UAAUC,GAAG,YAAYC,GAAG,YAAYC,GAAG,cAAcC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,kBAAkBC,GAAG,2BAA2BC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,2BAA2BC,GAAG,QAAQC,GAAG,SAASC,GAAG,SAASC,GAAG,cAAcC,GAAG,WAAWC,EAAE,EAAE/oB,GAAG,SAASgpB,GAAGr8E,EAAE,EAAE,CAAC,MAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIE,GAAG,GAAGF,KAAKE,GAAG,CAAC,CAAC,SAASo8E,GAAGt8E,EAAE,EAAE,CAAC,OAAO,IAAI,EAAE,CAACA,CAAC,EAAEq8E,GAAGr8E,EAAE,CAAC,CAAC,CAAC,SAASu8E,GAAGv8E,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,KAAK,IAAIE,EAAE,GAAG,QAAQE,EAAE,EAAEA,EAAEJ,EAAEI,IAAIF,GAAG,EAAEE,GAAGA,EAAEJ,EAAE,IAAIE,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAIs8E,GAAG,KAAK,CAAC,YAAY57E,EAAE,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,OAAO,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,YAIzid,CAAC,IAAIr3E,EAAEo8E,GAAG,KAAK,KAAK,IAAI,EAAE,EAAErF,GAAG,KAAK,IAAI,EAAE52E,EAAE,KAAK,wBAAwBH,CAAC,EAAE2B,EAAE,KAAK,SAAS3B,CAAC,EAAE4B,EAAE,KAAK,UAAU5B,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEGG;AAAA;AAAA;AAAA,cAGDwB;AAAA;AAAA,6BAEeC;AAAA;AAAA;AAAA,OAGtB,CAAC,CAAC,mBAAmBlB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,QAAQG,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIwB,EAAE,GAAG,IAAI,EAAE,IAAI,UAAUxB,IAAI,EAAE,IAAI,QAAQ,QAAQyB,EAAE,EAAEA,EAAE,KAAK,KAAKA,IAAID,EAAE,GAAGjB,EAAEA,EAAE,OAAO,EAAEkB,MAAMD,EAAE3B,EAAE,KAAK2B,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,wBAAwBU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQ,KAAK,oBAAoB,WAAW,KAAK,YAAY,KAAK,IAAIV,EAAE,GAAG,QAAQ,EAAE,KAAK,KAAK,EAAE,EAAE,KAAK,KAAK,IAAIA,GAAG,GAAGU,EAAE,SAAS,KAAK,oBAAoB,YAAY,KAAK,KAAK,YAAY,KAAK,EAAE,KAAK,KAAK,IAAIV,GAAG,MAAM,OAAOA,CAAC,CAAC,SAASU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,GAAG,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAGP,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,GAAG,MAAM;AAAA,gBAC3rBH,EAAE;AAAA,gBACFA,EAAE;AAAA;AAAA;AAAA;AAAA,4BAIU;AAAA,4BACAG;AAAA,KACvB,CAAC,UAAUO,EAAE,CAAC,IAAIV,EAAE,KAAK,mBAAmBU,CAAC,EAAE,OAAO,KAAK,OAAO,EAAE,wBAAwB,KAAK,oBAAoB,WAAW,KAAK,YAAY,gCAAgC,QAAQV,EAAE;AAAA,gCAChKA,EAAE;AAAA,gCACFA,EAAE;AAAA,yCACOA,EAAE,KAAK,CAAC,EAAMu8E,GAAG,KAAK,CAAC,YAAY77E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI,EAAE,GAAG,QAAQl3E,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIwB,EAAE,eAAexB,EAAE,IAAI,IAAIwB,GAAG,kBAAkBxB,EAAE,IAAIwB,GAAG,kBAAkB,GAAG;AAAA,UACzXA;AAAA,UACAxB,EAAE,EAAE,0CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrCA;AAAA;AAAA,UAETA,EAAE,EAAE,IAAI;AAAA,OACX,CAAC,KAAK,SAAS;AAAA,QACdq8E,GAAIx8E,EAAE,KAAK,mBAAmB;AAAA,QAC9B,KAAK,oBAAoBg0E,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,oBAAoB,cAAcA,EAAE;AAAA,qBACzC,KAAK,oBAAoB,cAAcA,EAAE;AAAA;AAAA,UAEpD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAAS87E,GAAI18E,EAAE,EAAE,CAAC,MAAM;AAAA;AAAA,QAExB,EAAEg0E,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE,YAAY,EAAEH,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7zE,CAAC;AAAA;AAAA;AAAA,GAGxD,CAAC,IAAI28E,GAAG,KAAK,CAAC,YAAY/7E,EAAE,CAAC,KAAK,MAAMA,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,WAAW,GAAG,KAAK,aAAa,CAAC,CAAC,CAAC,eAAeA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEu8E,GAAG18E,EAAE,CAAC,EAAE2B,EAAEg7E,GAAGj8E,EAAEP,EAAE,CAAC,EAAEwB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAGA,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAEg7E,GAAGl8E,EAAEP,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAc,CAAC,EAAE,GAAG,KAAK,aAAawB,GAAG,OAAO,EAAE,CAAC,KAAK,kBAAkB,KAAK,kBAAkB,KAAK,eAAeC,EAAE,KAAK,IAAI,EAAE,IAAIE,EAAE,KAAK,aAAaH,GAAG,MAAM,EAAE,OAAO,KAAK,aAAaA,GAAG,KAAKG,CAAC,EAAEA,CAAC,CAAC,IAAID,EAAE,OAAO1B,IAAIoyE,GAAG,mBAAmB1wE,EAAE,KAAK,MAAM,0BAA0BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAIoyE,GAAG,mBAAmB1wE,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAIoyE,GAAG,iBAAiB1wE,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAIoyE,GAAG,iBAAiB1wE,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,GAAGA,EAAE,EAAE,EAAEP,IAAIoyE,GAAG,2BAA2B1wE,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,GAAGA,EAAE,EAAE,GAAG,KAAK,aAAaiB,GAAG,KAAKE,CAAC,EAAE,KAAK,kBAAkB,KAAK,oBAAoBD,EAAE,KAAK,IAAI,EAAEC,CAAC,CAAC,eAAenB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,OAAO,IAAIwB,EAAE+6E,GAAG,EAAEv8E,CAAC,EAAEyB,EAAE+6E,GAAG38E,EAAE2B,EAAExB,CAAC,EAAEyB,KAAK,KAAK,eAAe,KAAK,aAAaA,GAAG,CAAC,GAAG,IAAIC,EAAE+6E,GAAG58E,EAAE2B,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAcxB,CAAC,EAAE2B,EAAEpQ,EAAE,EAAE,IAAI,gCAAgC,EAAEoQ,IAAI,IAAI,KAAK,mBAAmBA,GAAG,KAAK,MAAM,oBAAoBpB,EAAE,OAAO,EAAE,KAAK,oBAAoBmB,IAAI,KAAK,aAAaD,GAAG,KAAKlB,CAAC,EAAE,KAAK,kBAAkB,KAAK,eAAemB,GAAG,KAAK,kBAAkB,IAAI,EAAE,KAAK,aAAaD,GAAGY,EAAE,EAAE,QAAQ9B,CAAC,EAAE,GAAG8B,EAAE,EAAE,MAAM,IAAI,MAAM,0EAA0E,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,KAAK,WAAW,OAAO,IAAI9B,EAAE,KAAK,gBAAgB,KAAK,gBAAgB,QAAQ,IAAI,YAAY,GAAG,KAAK,qBAAqB,KAAK,kBAAkB,IAAIA,IAAI,EAAE,IAAIV,EAAE,KAAK,cAAc,KAAK,mBAAmB,QAAQ,IAAI,oBAAoB,KAAK,oBAAoB,EAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,IAAIA,CAAC,KAAK,CAAC,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,SAAS,CAAC,GAAG,KAAK,cAAc,KAAK,CAAC,QAAQU,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQV,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,QAAQU,KAAK,KAAK,aAAa,KAAK,aAAaA,GAAG,QAAQV,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,aAAa,KAAK,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,CAAC,CAAC,CAAC,EAAE,SAAS68E,GAAI/8E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,IAAIE,EAAE,KAAK,MAAO,GAAE,GAAG,IAAIA,EAAE,KAAK,MAAO,GAA6B,GAAxB,IAAIA,EAAE,SAAqB,IAAIF,EAAE,KAAK,MAAO,IAAG,GAAG,IAAIE,EAAE,QAAQ,MAAO,GAAE,GAAG,IAAIA,EAAE,MAAM,MAAO,GAAE,MAAM,IAAI,MAAM,2BAA2B,GAAG,CAAC,CAAC,SAAS48E,GAAG98E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE28E,GAAI,EAAE58E,CAAC,EAAE,EAAE,GAAGC,EAAE,CAAC,GAAG,CAAC2B,EAAEC,CAAC,EAAE4wE,GAAG7yE,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEgC,EAAEC,CAAC,KAAK,CAAC,GAAG,CAACD,EAAEC,CAAC,EAAEywE,GAAG1yE,EAAE,GAAGA,EAAE,EAAE,EAAE,EAAEgC,EAAEC,CAAC,CAAC,IAAIF,EAAEg7E,GAAI78E,EAAE,CAAC,EAAE,OAAO,EAAE6B,CAAC,CAAC,SAASi7E,GAAIh9E,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,KAAKyyE,GAAG,mBAAmB,OAAOuG,GAAG,CAAC,EAAE,KAAKvG,GAAG,mBAAmB,OAAOqG,GAAG,CAAC,EAAE,KAAKrG,GAAG,iBAAiB,OAAOsG,GAAG,CAAC,EAAE,KAAKtG,GAAG,iBAAiB,OAAOoG,GAAG,CAAC,EAAE,KAAKpG,GAAG,yBAAyB,OAAOwG,GAAG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iCAAiCj5E,GAAG,CAAC,CAAC,CAAC,SAASi9E,GAAIj9E,EAAE,CAAC,OAAOpO,EAAE,EAAE,QAAQ,8BAA8B,EAAEoO,EAAEyyE,GAAG,mBAAmBA,GAAG,iBAAiBzyE,EAAEyyE,GAAG,mBAAmBA,GAAG,gBAAgB,CAAC,SAASmK,GAAG58E,EAAE,EAAE,CAAC,GAAGA,IAAIwyE,GAAG,OAAO,OAAOC,GAAG,mBAAmB,GAAGzyE,IAAIwyE,GAAG,QAAQxyE,GAAG,KAAK,OAAOi9E,GAAI,CAAC,EAAE,GAAGj9E,IAAIwyE,GAAG,UAAUxyE,IAAIwyE,GAAG,OAAO,OAAOC,GAAG,yBAAyB,MAAM,IAAI,MAAM,gCAAgCzyE,GAAG,CAAC,CAAC,SAAS68E,GAAG78E,EAAE,EAAEE,EAAE,CAAC,MAAM,GAAGF,EAAE,MAAMA,EAAE,MAAM,KAAKE,GAAG,CAAC,IAAIg9E,GAAG,KAAK,CAAC,YAAYt8E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE9wHr3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAEi9E,GAAG,0BAA0BC,GAAG,YAAYC,GAAG,iBAAqBC,GAAG,0CAA0CC,GAAGJ,GAAG;AAAA;AAAA,EAE7HK,GAAGL,GAAG;AAAA;AAAA,EAENM,GAAG,YAAYC,GAAG,sCAA0CC,GAAG,YAAYC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS9EC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG,sCAAsCC,GAAG,KAAK,CAAC,YAAYp9E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAEpNr3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAM+9E,GAAG,KAAK,CAAC,YAAYr9E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIr3E,EAAEU,EAAE,OAAO,EAAE07E,GAAG,KAAKp8E,CAAC,EAAEG,EAAE42E,GAAG/2E,CAAC,EAAE2B,EAAE06E,GAAGr8E,EAAE,CAAC,EAAE4B,EAAE,EAAE,MAAM,EAAE,EAAEC,EAAE7B,GAAG,EAAE,KAAK,QAAQ4B,EAAE,KAAK,GAAG,KAAK,KAAK,SAAS;AAAA;AAAA,UAElRzB;AAAA,kCACwBwB;AAAA;AAAA,4CAEUE;AAAA;AAAA,KAEvC,CAAC,EAAMm8E,GAAI7pF,GAAG,UAAU8pF,GAAI,KAAKC,GAAI,KAAKC,GAAG,CAAC,EAAE,SAASC,GAAIt+E,EAAE,CAAC,OAAOA,KAAKq+E,KAAKA,GAAGr+E,GAAG,CAAC,GAAGq+E,GAAGr+E,EAAE,CAAC,IAAIu+E,GAAI3sF,EAAE,EAAE,UAAU,4BAA4B,EAAE4sF,GAAI,IAAI,SAASC,IAAK,CAAC,OAAO7sF,EAAE,EAAE,OAAO,QAAQ,KAAK,KAAKA,EAAE,EAAE,OAAO,OAAO,OAAOA,EAAE,EAAE,OAAO,OAAO,MAAM,OAAO,iBAAiB4sF,GAAI,KAAK,IAAI,CAAC,IAAI73F,GAAG,cAAcjB,EAAE,CAAC,YAAYkb,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,YAAY,IAAI,QAAQ,KAAK,gBAAgB,IAAI,QAAQ,KAAK,aAAa,IAAI,QAAQ,KAAK,cAAc,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,EAAE,KAAK,kBAAkB,GAAG,KAAK,eAAe,EAAE,KAAK,SAAS,GAAG,CAAChP,EAAE,EAAE,QAAQ,WAAW,EAAE,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIsO,EAAE,GAAGU,GAAG,KAAK,CAAC,GAAGA,aAAahc,GAAGsb,EAAEU,MAAM,CAAC,IAAI,EAAEwxE,GAAGxgF,EAAE,EAAE,UAAU,eAAe,EAAEgP,CAAC,EAAEV,EAAE,IAAItb,GAAG,CAAC,CAAC,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,CAAC,IAAI,EAAEwtF,GAAGxgF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAEsO,EAAE,IAAItb,GAAG,CAAC,EAAE,KAAK,YAAY05F,GAAI1sF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,KAAK,MAAMsO,EAAE,KAAK,OAAO,KAAK,MAAM,GAAG,OAAO,KAAK,eAAe,IAAIy8E,GAAG,KAAK,KAAK,EAAE,KAAK,mBAAmB8B,GAAI,EAAE,KAAK,QAAQ,IAAI37F,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOhL,GAAG,YAAY,CAAC,YAAY,CAAC,OAAO,KAAK,QAAQ,WAAW,EAAE,KAAK,cAAc,CAAC,aAAaia,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAe7B,EAAE,CAAC,EAAE8B,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEC,EAAE,SAAS,GAAGA,EAAE,QAAQ,CAAC,QAAQpB,EAAE,SAAS,CAACP,EAAEwB,CAAC,CAAC,EAAEG,EAAE,SAAS,CAAC3B,EAAEwB,CAAC,EAAE,IAAI,EAAEivE,GAAG5wE,CAAC,EAAEwC,EAAE,IAAIm1E,GAAG,EAAE,GAAG/1E,CAAC,EAAE,EAAE,KAAK,gBAAgBY,EAAE,CAACX,CAAC,EAAE,EAAE,CAAC,CAAC1B,EAAEwB,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,MAAM3B,EAAE8B,EAAE,QAAQ,KAAK,KAAK,8BAA8BD,CAAC,EAAE,EAAE,MAAM,CAAC,MAAMnB,EAAEV,EAAE,EAAE,CAAC,IAAItO,EAAE,EAAE,QAAQ,gCAAgC,GAAGA,EAAE,EAAE,QAAQ,OAAO,IAAI,KAAK,uBAAuBgP,CAAC,EAAE,IAAI,aAAaA,GAAG,KAAK,MAAM,IAAI,MAAM,uEAAuE,EAAE,IAAIP,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIA,EAAE,CAAC,MAAMH,EAAE,MAAM,EAAE,OAAOU,EAAE,MAAM4xE,GAAG,OAAO,SAAS,CAAC,CAAC,EAAEnyE,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,OAAOU,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAIA,CAAC,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,GAAGjQ,EAAE,EAAE,QAAQ,OAAO,GAAG,KAAK,uBAAuBsO,CAAC,EAAEG,IAAI,YAAY,MAAM,IAAI,MAAM,uEAAuE,EAAE,KAAK,QAAQ,IAAIO,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOH,EAAE,MAAMsyE,GAAG,OAAO,SAAS3wE,CAAC,CAAC,CAAC,CAAC,8BAA8BjB,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,mBAAmBwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIc,EAAEZ,EAAEY,EAAE,IAAIo7E,GAAGj8E,EAAE07E,EAAE,EAAE76E,EAAE,IAAIs6E,GAAGn7E,EAAE07E,EAAE,EAAE,IAAI56E,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOhC,EAAE,MAAMmB,EAAE,MAAM1B,CAAC,CAAC,EAAEA,CAAC,EAAEyC,EAAE,KAAK,SAASD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBlC,CAAC,EAAE,GAAGP,IAAI,SAAS,OAAO,EAAE,IAAI,EAAE,KAAK,cAAc,KAAKqC,EAAE,IAAIA,EAAElE,EAAE,IAAI,GAAG,IAAI,EAAE,GAAG6B,IAAI,YAAY,CAAC,IAAIuC,EAAE,KAAK,SAASf,EAAE,KAAK,MAAM,EAAEgB,EAAE,KAAK,SAAShB,EAAE,KAAK,MAAM,EAAE,EAAE7T,EAAE,uBAAuB4U,EAAEC,CAAC,CAAC,MAAM,EAAE,KAAK,qBAAqBjC,CAAC,EAAE,OAAO,IAAI,KAAK,gBAAgBpC,EAAE,IAAI,EAAEkE,GAAG,KAAK,qBAAqB9B,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,CAAC,IAAIkC,EAAE,KAAK,YAAY,IAAIlC,CAAC,EAAE,OAAO,IAAI,QAAQoD,GAAGlB,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,IAAI9D,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,mBAAmBC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG2B,GAAG,KAAK,CAAC,IAAIiB,EAAEd,EAAEc,EAAE,IAAIk7E,GAAG39E,EAAEo9E,EAAE,EAAE36E,EAAE,IAAIo6E,GAAG78E,EAAEo9E,EAAE,EAAE,IAAIz5E,EAAE,KAAK,gBAAgBlB,EAAE,CAAC,CAAC,OAAOlC,EAAE,MAAMP,EAAE,MAAMyB,CAAC,CAAC,EAAEA,CAAC,EAAEmC,EAAE,KAAK,KAAKD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBrD,CAAC,EAAE,GAAGhP,EAAE,EAAE,QAAQ,OAAO,GAAG,CAACA,EAAE,EAAE,QAAQ,8BAA8B,GAAGA,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,MAAM,IAAI,MAAM,8FAA8F,EAAE,IAAI,EAAE,KAAK8Q,EAAE,GAAGZ,IAAI,aAAalQ,EAAE,EAAE,IAAI,wBAAwB,EAAE,CAAC8Q,EAAE,KAAK,OAAO9B,CAAC,EAAE,IAAIkC,EAAE,KAAK,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,wBAAwBI,EAAE,QAAQ,QAAQ,GAAG8vE,GAAGvyE,CAAC,CAAC,CAAC,CAAC,KAAK,YAAY,IAAIO,EAAE,CAAC,CAAC,EAAEkB,IAAI,aAAa,MAAM,KAAK,MAAM,sBAAsB,EAAE,IAAI,EAAE,GAAGA,IAAI,YAAY,CAAC,IAAIgB,EAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKf,EAAE,KAAK,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,CAAC,CAAC,EAAEiC,EAAElB,EAAE,GAAGmB,EAAEnB,EAAE,GAAG,EAAE9U,EAAE,uBAAuBgW,EAAEC,CAAC,CAAC,SAAS,GAAG,KAAK,EAAE,KAAK,qBAAqBrD,CAAC,MAAM,CAAC,IAAIkC,EAAEtE,EAAE,cAAc6B,CAAC,EAAE,EAAE,KAAK,MAAM,gCAAgC,EAAEyC,CAAC,CAAC,CAAC,GAAGJ,GAAG,MAAM,KAAK,8BAA8BA,CAAC,EAAE,GAAG,KAAK,CAAC,IAAII,EAAE,KAAK,MAAM,GAAG+sE,GAAG/sE,EAAE,IAAIA,EAAE,aAAa,CAAC,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,qBAAqBhC,EAAE,CAAC,EAAEiC,EAAE,KAAK,YAAY,IAAIjC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOA,CAAC,EAAEiC,EAAE,QAAQC,GAAGA,EAAEF,CAAC,CAAC,EAAE,KAAK,gBAAgB,IAAIhC,CAAC,IAAI,KAAK,gBAAgB,OAAOA,CAAC,EAAE,KAAK,YAAYA,CAAC,GAAGjP,GAAG,EAAE,aAAaiP,EAAE,IAAI,EAAE,KAAK,kBAAkBgC,CAAC,CAAC,UAAUhC,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAOP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAGD,IAAI,YAAY,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIe,EAAEb,EAAEa,EAAE,IAAIm7E,GAAGn8E,EAAE47E,EAAE,EAAE56E,EAAE,IAAIq6E,GAAGr7E,EAAE47E,EAAE,EAAE,IAAI36E,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOjC,EAAE,MAAMiB,EAAE,MAAME,CAAC,CAAC,EAAEA,CAAC,EAAEiC,EAAE,KAAK,UAAUlB,EAAE5C,CAAC,EAAE,OAAO,KAAK,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,GAAG,GAAG,KAAK,MAAM3D,GAAG,KAAK,IAAI,MAAM,gCAAgC,EAAE,IAAI,MAAM,iCAAiC,EAAE,IAAIqC,EAAE,KAAK,OAAO9B,EAAEV,EAAE,cAAc,EAAE,EAAEvO,GAAG,EAAE,yBAAyB+Q,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAIF,EAAE,MAAM,EAAE,OAAO,OAAO,OAAO,CAAC,UAAU,CAAC,EAAEE,EAAE,OAAO,CAAC,CAAC,WAAWhC,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEV,EAAE,IAAIG,GAAG7B,EAAE,aAAa6B,CAAC,CAAC,EAAE,OAAOxR,GAAG+R,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAO/R,GAAG+R,EAAE,MAAMA,EAAE,MAAMV,CAAC,CAAC,CAAC,uBAAuBU,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,GAAG,GAAG,CAAC4vE,GAAG,CAAC,EAAE,MAAMl+E,EAAE,EAAE,QAAQ,8BAA8B,EAAE,MAAM,aAAa,gJAAgJ,EAAE,MAAM,aAAa,yCAAyC,CAAC,CAAC,CAAC,qBAAqBgP,EAAE,CAAC,GAAG,CAAC,MAAMV,EAAE,MAAM,EAAE,SAASG,CAAC,EAAE,KAAK,QAAQ,IAAIO,CAAC,EAAEiB,EAAErD,EAAE,cAAc0B,CAAC,EAAE,GAAGtO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,CAAC,IAAIgR,EAAE,KAAK,OAAOhC,CAAC,EAAEiC,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEE,EAAE,KAAK,MAAM,gCAAgCD,EAAE,QAAQ,QAAQ,GAAG+vE,GAAG1yE,CAAC,CAAC,EAAE,SAAS,EAAE2B,CAAC,EAAE,OAAO,KAAK,8BAA8Be,CAAC,EAAEE,CAAC,CAAC,IAAIhB,EAAElQ,EAAE,EAAE,QAAQ,YAAY,GAAGyO,IAAI,GAAG0B,EAAED,EAAEgvE,GAAG5wE,CAAC,EAAEA,EAAE8B,EAAEF,EAAE,IAAI61E,GAAG51E,CAAC,EAAE,IAAI21E,GAAG31E,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAM,EAAE,OAAOnB,CAAC,CAAC,EAAE,SAAS,EAAE8B,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,gDAAgDA,EAAE,QAAQ,QAAQA,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,EAAE,SAAS,EAAEb,CAAC,EAAE,OAAO,KAAK,8BAA8B,CAAC,EAAE,CAAC,CAAC,gBAAgB,CAAC,OAAOjQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,CAAC,CAAC,KAAKgP,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,EAAE,CAAC,EAAEG,EAAE,GAAG,KAAK,oBAAoB,MAAM,KAAK,mBAAmB,EAAEA,EAAE,IAAI,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,aAAa,EAAEO,EAAE,EAAE,IAAIiB,EAAErD,EAAE,QAAQ,KAAK,aAAa,IAAIwD,GAAGA,EAAE,KAAK,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAEF,EAAEtD,EAAE,QAAQ,KAAK,aAAa,IAAIwD,GAAGA,EAAE,IAAI,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAE,KAAK,aAAa9B,EAAEG,IAAI,KAAK,mBAAmB,MAAM,IAAI0B,EAAE,CAAC,aAAa,KAAK,aAAa,eAAe,KAAK,eAAe,SAAS,KAAK,OAAO,IAAI,EAAE,OAAO,SAAS,CAAC,GAAGnQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,CAAC,IAAIoQ,EAAE,MAAM,QAAQ,IAAIH,CAAC,EAAEE,EAAE,SAASvD,EAAE,IAAIwD,CAAC,EAAED,EAAE,oBAAoB,IAAIC,EAAE,IAAI,CAAC,EAAEU,KAAK,CAAC,KAAKZ,EAAEY,GAAG,GAAG,CAAC,EAAE,EAAE,IAAI,GAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,CAAC,MAAMX,EAAE,SAAS,CAAC,MAAM,2DAA2D,EAAE,OAAO,KAAK,aAAa,EAAE,KAAK,eAAe,EAAEA,CAAC,GAAG,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,cAAc,KAAK,cAAc,uBAAuB,KAAK,eAAe,kBAAkB,kBAAkB,KAAK,eAAe,YAAY,CAAC,CAAC,YAAY,CAAC,OAAOnQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,KAAK,MAAM,WAAW,EAAE,CAAC,QAAQ4M,EAAE,IAAI,EAAE,MAAM,IAAI,CAAC,CAAC,SAASoC,EAAE,CAAC,OAAOhP,EAAE,EAAE,UAAU,+CAA+C,EAAE,GAAG,KAAK,MAAM,SAAS,EAAEgP,IAAIA,EAAE,MAAMpC,EAAE,IAAI,EAAEoC,EAAE,CAAC,MAAM,aAAaA,EAAE,CAAC,GAAGhP,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,OAAO,KAAK,MAAM,uBAAuBgP,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAOV,EAAE,MAAMA,EAAE,OAAO,CAAC,YAAYU,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,gBAAgB,IAAIU,CAAC,EAAE,MAAM,GAAG,GAAG,CAAC,KAAK,QAAQ,IAAIA,CAAC,EAAE,MAAM,GAAG,GAAGV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,SAAS,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,WAAW,CAACV,GAAG,KAAK,QAAQ,IAAIU,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,OAAO,KAAK,gBAAgB,IAAIA,CAAC,EAAE,KAAK,iBAAiB,GAAG,KAAK,eAAeA,CAAC,EAAE,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,OAAO,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAOV,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOA,CAAC,GAAG,KAAK,QAAQ,OAAOU,CAAC,EAAE,EAAE,CAAC,eAAeA,EAAE,CAAC,GAAG,CAAC,QAAQV,EAAE,MAAM,EAAE,SAASG,EAAE,MAAMwB,EAAE,SAASC,EAAE,MAAMC,CAAC,EAAE,KAAK,QAAQ,IAAInB,CAAC,EAAEoB,EAAED,GAAGA,EAAE,YAAYnB,EAAE,EAAE,KAAK,aAAa,IAAIoB,CAAC,EAAE,EAAE,EAAE,KAAK,aAAa,IAAIA,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,OAAOA,CAAC,EAAE9B,GAAG,OAAO,KAAK,eAAe,KAAK,aAAaG,EAAE,CAAC,EAAE,KAAK,eAAe,eAAeH,EAAEG,EAAEwB,EAAEC,CAAC,IAAI,IAAIY,EAAE,KAAK,QAAQ,IAAI9B,CAAC,EAAE8B,EAAE,QAAQ,KAAKA,EAAE,SAAS,KAAKA,EAAE,SAAS,GAAGA,EAAE,MAAM,IAAI,CAAC,WAAW9B,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,QAAQ,OAAO,CAAC,YAAYA,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,CAAC,mBAAmBA,EAAEV,EAAEq+E,GAAI,CAAC,OAAO3sF,EAAE,EAAE,QAAQ,mBAAmB,GAAGgP,EAAE,MAAM,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,SAAS,MAAMpC,EAAE,cAAc,EAAE,KAAK,EAAE0B,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,KAAK,KAAK,CAAC,MAAMU,EAAE,CAAC5S,EAAE,KAAK,uEAAuE,EAAE,IAAIkS,EAAEU,EAAE,SAAS,EAAE,OAAOs9E,GAAIt9E,EAAE,MAAMV,CAAC,CAAC,CAAC,cAAcU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,IAAI29E,GAAGp9E,EAAE,MAAMV,CAAC,EAAE2B,EAAE,KAAK,cAAcxB,EAAE,CAACO,CAAC,EAAE,CAAC,EAAE,OAAOjP,GAAG,EAAE,yBAAyBkQ,CAAC,CAAC,CAAC,IAAIjB,EAAE,CAAC,GAAG,KAAK,mBAAmB,CAACA,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIP,EAAEi7E,GAAG,KAAK,QAAQ,IAAI16E,EAAE,MAAM,EAAE,MAAM,EAAE,OAAO,KAAK,WAAWA,EAAE,MAAMA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGzO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,OAAO,KAAK,cAAcgP,EAAEy8E,GAAGz8E,EAAE,KAAK,EAAE,IAAIV,EAAE,IAAIg9E,GAAGt8E,EAAE,MAAMy8E,EAAE,EAAE,EAAE,KAAK,cAAcn9E,EAAE,CAACU,CAAC,CAAC,EAAE,OAAOjP,GAAG,EAAE,yBAAyB,CAAC,CAAC,CAAC,eAAeiP,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAGH,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG1B,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,IAAIqD,EAAE,EAAE,IAAIC,GAAGtD,EAAE,aAAasD,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEV,CAAC,CAAC,MAAMG,EAAE,KAAK,MAAM,EAAEO,EAAEV,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIG,CAAC,EAAE,MAAM,KAAK,CAAC,OAAOA,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,WAAWU,EAAEV,EAAE,EAAE,CAAC,OAAOvO,GAAG,EAAE,yBAAyB,KAAK,eAAeiP,EAAEV,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,aAAaU,EAAE,CAAC,IAAIV,EAAE,IAAI+9E,GAAGr9E,EAAE,KAAK,EAAE,OAAO,KAAK,gBAAgBV,EAAE,CAACU,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,IAAIs8E,GAAG57E,EAAE,KAAK,EAAE,EAAE,GAAG,OAAO,KAAK,gBAAgBV,EAAE,CAACU,CAAC,EAAEA,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,cAAcA,EAAEV,EAAE,CAAC,IAAI,EAAE,CAACowE,GAAG1vE,EAAE,KAAK,EAAE,GAAGiwE,GAAGjwE,EAAE,KAAK,CAAC,EAAEP,EAAE,CAAC,MAAMO,EAAE,MAAM,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAEiB,EAAE,CAACyuE,GAAGpwE,CAAC,EAAE,GAAG2wE,GAAG3wE,CAAC,CAAC,EAAE4B,EAAE,IAAI26E,GAAG56E,EAAE,CAAC,EAAEE,EAAE,GAAGC,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBF,EAAE,CAACzB,CAAC,EAAEO,EAAE,MAAMoB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM7B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,OAAOU,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,SAASP,EAAE,MAAMwB,EAAE,MAAMC,CAAC,EAAE,EAAE,GAAG5B,GAAG,KAAK,CAAC,IAAI0C,EAAEpE,EAAE,cAAcqD,CAAC,EAAEgB,EAAE3C,EAAE,GAAGA,EAAE,GAAG,EAAE1B,EAAE,OAAOoE,GAAGC,EAAE,IAAI,2GAA2G,CAAC,CAAC,IAAId,EAAE+uE,GAAGjvE,CAAC,EAAEG,EAAE3B,EAAE2B,EAAE,IAAIy1E,GAAG11E,CAAC,EAAEC,EAAE,IAAIw1E,GAAGz1E,CAAC,EAAE,IAAI,EAAE,GAAGW,EAAE,CAACxC,GAAG,KAAKA,EAAE0yE,GAAG7wE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAMD,EAAE,OAAOlB,CAAC,CAAC,EAAEkB,EAAEY,EAAE,EAAExC,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,MAAMD,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,gBAAgBjB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAGC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAenB,EAAE,YAAY,CAAC,EAAEoB,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE,GAAGnB,EAAE,eAAeoB,EAAE,SAAS,IAAIpB,EAAE,mBAAmB2xE,GAAG,MAAM,CAAC,IAAIjrE,EAAExF,GAAG,KAAKA,EAAE8wE,GAAGhyE,EAAE,WAAW,EAAEoB,EAAE,SAASsF,EAAE,IAAIxC,GAAGA,EAAE,CAAC,CAAC,CAAC,GAAGlE,EAAE,aAAa,OAAOoB,EAAE,MAAMpB,EAAE,aAAapC,EAAE,cAAcuD,EAAE,KAAK,IAAI,EAAE,OAAOC,EAAE,OAAOxD,EAAE,uBAAuBuD,EAAE,MAAM,CAAC,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAEW,EAAExC,EAAE,IAAIoH,GAAG,CAAC,GAAGA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,iIAAiI,EAAE,IAAIxC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,EAAE,GAAGxC,EAAE,SAAS,KAAK,CAAC,GAAG,CAAClE,EAAE,cAAcpC,EAAE,cAAc8I,EAAE,KAAK,GAAG1V,EAAE,EAAE,UAAU,2BAA2B,EAAE,MAAM,CAAC,MAAM0V,EAAE,MAAM,QAAQ,KAAK,UAAU,GAAG,cAAcxC,EAAE,MAAM,EAAElE,EAAE,eAAekE,EAAE,SAAS,GAAGA,EAAE,MAAMwC,EAAE,MAAM,CAAC,GAAG,KAAK,YAAYA,EAAE,MAAM,EAAE,CAAC,CAACxC,EAAE,UAAU,CAAC,CAAClE,EAAE,aAAa0G,EAAExC,EAAE,SAAS,KAAK,aAAawC,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAExC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,UAAUxC,EAAE,UAAU,CAACwsE,GAAGxsE,EAAE,MAAMwC,EAAE,KAAK,EAAE,CAAC,IAAI7C,EAAE6C,EAAE5C,EAAE4C,EAAE,MAAMA,EAAE,MAAMxC,EAAE,MAAMwC,EAAE,KAAK,cAAcA,EAAE5C,CAAC,EAAE,EAAE,KAAK4C,CAAC,EAAExC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,EAAE7C,EAAE,MAAMC,CAAC,CAAC,MAAM,CAAC,MAAM4C,EAAE,MAAM,QAAQxC,EAAE,UAAU,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY/C,EAAE,MAAM,EAAE,IAAI,EAAE,CAAC,MAAMA,EAAE,MAAM,QAAQC,EAAE,UAAU,EAAE,EAAEY,EAAE00E,GAAG12E,EAAE8B,EAAE,CAAC,EAAEG,EAAE,KAAK,iBAAiBD,EAAE,IAAIs0E,GAAG,KAAK,MAAMt2E,EAAE8B,EAAE,CAAC,CAAC,EAAEI,EAAE,KAAK,cAAc,KAAKkB,EAAElB,IAAIkB,EAAE,KAAK,WAAW,GAAGpS,EAAE,EAAE,IAAI,qBAAqB,GAAGylF,GAAG,KAAK,MAAMx0E,EAAEH,EAAE,EAAErC,CAAC,EAAE,EAAE,QAAQiH,GAAG,KAAK,8BAA8BA,CAAC,CAAC,EAAExE,IAAIkB,EAAE,KAAK,SAASA,CAAC,EAAE,KAAK,aAAa,KAAK,CAAC,KAAKpD,EAAE,YAAY,KAAK,MAAM,KAAK,aAAaoD,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAErS,EAAE,EAAE,IAAI,uBAAuB,EAAE,GAAGqS,EAAE,EAAE,CAAC,IAAIqD,EAAE9I,EAAE,IAAI,EAAE8I,EAAE,KAAK,gBAAgBrD,IAAI,KAAK,MAAM,GAAG,MAAM,EAAE,KAAK,gBAAgBqD,EAAE,CAAC,GAAG,CAAC1V,EAAE,EAAE,QAAQ,qBAAqB,GAAGoQ,EAAE,UAAUH,IAAI,GAAG,CAAC,IAAIyF,EAAE,KAAK,aAAavF,CAAC,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEuF,CAAC,CAAC,OAAOvF,CAAC,CAAC,cAAcnB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAG,CAAC,OAAO,EAAE,GAAG3B,EAAE,GAAG,MAAM,KAAK,gBAAgBU,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,iBAAiBjB,EAAEV,EAAE,CAAC,OAAOU,KAAK,KAAK,cAAc,KAAK,YAAYA,GAAGV,EAAE,GAAG,KAAK,YAAYU,EAAE,CAAC,mBAAmB,CAAC,OAAO,KAAK,cAAc,CAAC,SAAS,CAAC,KAAK,WAAWhP,EAAE,EAAE,QAAQ,SAAS,GAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,KAAK,MAAM,cAAc,KAAK,YAAY,GAAG,YAAY,EAAE,OAAO,KAAK,YAAY,EAAE,CAAC,EAAE,KAAK,eAAe,QAAQ,EAAE,KAAK,QAAQ,MAAM,OAAO,mBAAmB,aAAa,KAAK,kBAAkB,kBAAkB,KAAK,OAAO,OAAO,EAAE,KAAK,OAAO,KAAK,KAAK,sBAAsB,KAAK,MAAM,QAAQ,KAAK,KAAK,MAAM,QAAQ,GAAG,KAAK,SAAS,GAAG,CAAC,gBAAgB,CAAC,OAAO,KAAK,qBAAqB,OAAO,KAAK,oBAAoB8L,EAAE,IAAI,CAAC,GAAG,CAAC9L,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIgP,EAAEhP,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE,EAAE,IAAI,QAAQ,EAAE,EAAE,IAAIsO,EAAE,KAAK,IAAI/F,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,GAAG,GAAGvI,EAAE,EAAE,IAAI,QAAQgP,CAAC,EAAEV,EAAE,EAAE,MAAO,GAAE,CAAC,MAAO,GAAE,CAAC,GAAG,KAAK,mBAAmB,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAGi+E,GAAIC,EAAG,CAAC,YAAYx9E,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOwB,EAAE,QAAQC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG4B,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,cAAc,KAAKY,EAAE,IAAIA,EAAElE,EAAE,IAAI,GAAG,IAAI,EAAE0B,EAAE,SAAS,GAAG,GAAG,OAAO,EAAE6wE,GAAG,EAAE/uE,CAAC,EAAE9B,EAAE,SAAS,GAAG2B,GAAG,KAAK,CAAC,IAAIe,EAAEkuE,GAAG,CAAC,EAAEjuE,EAAEC,EAAE,EAAE,GAAGkB,EAAE,EAAE,GAAGC,EAAEpC,aAAa,YAAYA,aAAa,mBAAmBG,GAAG,CAACiC,KAAK,CAACnB,EAAEkB,CAAC,EAAE6uE,GAAG,EAAE,GAAG,EAAE,EAAE,GAAG7wE,EAAEa,EAAE,IAAIi1E,GAAGl1E,EAAEqB,CAAC,EAAEpB,EAAE,IAAIg1E,GAAGj1E,EAAEqB,CAAC,EAAE,IAAIqD,EAAErD,EAAE,CAACD,EAAElB,CAAC,EAAE,EAAEgC,EAAE,KAAK,eAAewC,EAAEjH,CAAC,EAAEoE,EAAE,KAAK,QAAQ,IAAIK,EAAE,MAAM,EAAEb,EAAEQ,EAAE,MAAM+tE,GAAG,OAAO/tE,EAAE,MAAM+tE,GAAG,OAAO/tE,EAAE,SAAS6C,EAAE,KAAK,MAAM,2BAA2B,KAAK,WAAWxC,EAAE,MAAM,EAAEhC,EAAEkB,EAAEnC,CAAC,EAAE,IAAI6C,EAAE,CAAC,CAACV,EAAElB,CAAC,CAAC,EAAE6B,EAAE,GAAGC,EAAE,KAAK,gBAAgB/B,EAAE,CAACiC,CAAC,EAAEzE,EAAEqE,EAAEC,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE1E,EAAE,SAAS2E,EAAE,SAAS3E,EAAE,SAAS2E,EAAE,SAAS3E,EAAE,MAAM2E,EAAE,MAAMjT,EAAE,EAAE,IAAI,qBAAqB,EAAE,KAAK,YAAYgT,EAAE,MAAM,GAAG1E,EAAE,QAAQ2E,EAAE,QAAQ3E,EAAE,OAAO,KAAK,KAAK,QAAQ,OAAO0E,EAAE,MAAM,GAAG,KAAK,8BAA8BE,CAAC,EAAE,IAAI,KAAK,cAActG,EAAE,IAAI,EAAEkE,EAAE,KAAK,CAAC,IAAIE,EAAE,KAAK,eAAe,EAAEb,EAAE1B,EAAE2B,CAAC,EAAE9B,EAAE,QAAQ0C,CAAC,CAAC,CAAC,qBAAqBhC,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,MAAMP,CAAC,EAAE,EAAE,OAAOH,GAAG,OAAO,EAAE,OAAOw+E,GAAIx+E,EAAEG,CAAC,GAAG,EAAE,MAAM,CAAC,eAAeO,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,eAAe,KAAK,aAAaO,EAAE,CAAC,EAAE,CAAC,KAAK,mBAAmB,KAAK,cAAc,KAAK,mBAAmB,KAAK,KAAK,CAAC,IAAIiB,GAAG,KAAK,cAAc,KAAK,MAAM,QAAQ,CAAC,EAAE,KAAK,kBAAkB,GAAG,QAAQ,KAAK,6BAA6BA,wCAAwC,CAAC,CAAC,OAAO,KAAK,eAAe,eAAejB,EAAEV,EAAEG,CAAC,CAAC,CAAC,aAAaO,EAAEV,EAAE,CAAC,OAAOU,EAAE,GAAGA,EAAE,GAAGpC,EAAE,gBAAgB0B,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,CAAC,CAACU,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,KAAK,iBAAiBA,CAAC,CAAC,CAAC,MAAM,6BAA6B,CAAC,IAAIA,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,6BAA6B,CAAC,OAAO,CAAC,CAACV,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAEU,EAAE,KAAK,KAAK,sBAAsBV,CAAC,CAAC,EAAE,OAAO,QAAQ,IAAIU,CAAC,CAAC,KAAK,CAAC,OAAO,CAAC,CAACV,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,IAAI,EAAE,IAAI,QAAQG,GAAG,CAAC,GAAG,CAAC,KAAK,iBAAiBH,CAAC,EAAEG,EAAE,EAAE,CAAC,OAAOwB,EAAN,CAAS,MAAMA,CAAC,CAAC,CAAC,EAAEjB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO,QAAQ,IAAIA,CAAC,CAAC,CAAC,CAAC,MAAM,sBAAsBA,EAAE,CAAC,OAAO,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,6BAA6B,qBAAqB,EAAE,KAAK,iBAAiBA,CAAC,GAAG,MAAM1J,GAAG,EAAE,KAAK,sBAAsB0J,CAAC,EAAE,CAAC,iBAAiBA,EAAE,CAAC,GAAG,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,GAAG,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkBA,EAAE,YAAY,CAAC,EAAE,KAAK,MAAM,GAAG,mBAAmBA,EAAE,eAAe,KAAK,MAAM,GAAG,cAAc,IAAI,IAAI8wE,GAAG9wE,EAAE,OAAO,KAAK,MAAM,GAAG,iBAAiBA,EAAE,cAAc,CAAC,EAAE,IAAI,MAAM,oCAAoC,GAAG,IAAI,MAAM,6CAA6C,EAAE,MAAM,EAAE,CAAC,qBAAqB,CAAC,OAAO,CAAC,CAACA,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,GAAG,CAAC,iBAAiBV,EAAE,uBAAuB,EAAE,OAAOG,EAAE,OAAOwB,EAAE,kBAAkBC,EAAE,qBAAqBC,EAAE,iBAAiBC,EAAE,wBAAwB,EAAE,oBAAoBU,CAAC,EAAEy0E,GAAG,KAAK,MAAMv2E,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,iBAAiBV,EAAEU,EAAE,uBAAuB,EAAEA,EAAE,OAAOP,EAAEO,EAAE,OAAOiB,EAAEjB,EAAE,kBAAkBkB,EAAElB,EAAE,qBAAqBmB,EAAEnB,EAAE,iBAAiBoB,EAAEpB,EAAE,wBAAwB,EAAEA,EAAE,oBAAoB8B,CAAC,CAAC,CAAC,wBAAwB9B,EAAEV,EAAE,EAAE,CAACU,EAAE,SAASA,EAAE,UAAU,OAAO,GAAG,CAAC,QAAQP,EAAE,OAAOwB,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEnB,EAAEoB,EAAErQ,GAAG,EAAE,QAAQ,GAAG,CAACqQ,EAAE,MAAM,GAAG,UAAU3B,CAAC,EAAE,MAAM,IAAI,MAAM,+RAA+R,EAAE,IAAI,EAAE2B,EAAE,aAAa3B,EAAEH,EAAE,EAAE2B,EAAEC,EAAEC,CAAC,EAAE,OAAOpQ,GAAG,EAAE,qBAAqB,EAAEuO,EAAE,EAAE8B,CAAC,CAAC,CAAC,EAAErb,GAAG,WAAW,EAAE,SAAS+3F,GAAI1+E,EAAE,EAAE,CAAC,GAAG,IAAI,WAAW,IAAI,YAAY,OAAOA,EAAE,GAAG,IAAI,SAAS,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,QAAQ,IAAI,WAAWF,EAAE,MAAM,EAAE,IAAI,WAAWA,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAEF,EAAEE,GAAG,KAAK,MAAMJ,EAAEI,EAAE,EAAE,OAAOF,CAAC,KAAM,OAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,IAAIhB,GAAG,QAAQ,SAASxM,IAAI,CAACd,EAAE,EAAE,IAAI,2BAA2B,EAAE,CAAC,CAAChB,GAAG,UAAU,GAAGqI,GAAG,QAAQ,IAAI,IAAItS,GAAG,CAAC,EAAE,IAAIwY,GAAI,CAAC,eAAezM,EAAE,EAAMisF,GAAG;AAAA;AAAA;AAAA,EAGjziBC,GAAG,KAAK,CAAC,YAAYh+E,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYlS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,KAAK,oBAAoBq3E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3K32E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQL,CAAC,EAAMi+E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKTC,GAAG,KAAK,CAAC,YAAYl+E,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,qBAAqB,GAAG,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYrS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,IAAI2B,EAAE,KAAK,YAAY,OAAO,KAAK,oBAAoB01E,GAAG11E,CAAC,EAAE,IAAIC,EAAE,GAAG,GAAGzB,EAAE,GAAGwB,IAAI,GAAGrD,EAAE,cAAc,KAAK,WAAW,IAAI,EAAEsD,EAAE;AAAA;AAAA;AAAA;AAAA,kBAIzSA,EAAE;AAAA,YACRm1E,GAAGp1E,CAAC;AAAA,UACNA,IAAI,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA;AAAA;AAAA,YAIhCA,GAAG;AAAA,yCAC0B,KAAK,YAAY;AAAA;AAAA;AAAA,gBAG1C,CAAC,IAAIE,EAAEs6E,GAAG,SAASz6E,CAAC,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA,iBAEjDE,EAAEH,EAAE,uBAAuBA;AAAA;AAAA,iBAE3BG,EAAEH,EAAE,uBAAuBA;AAAA;AAAA;AAAA;AAAA,YAIhCC,GAAG;AAAA;AAAA,iBAEEE,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA,iBAErCG,EAAEH,EAAE,cAAc,KAAK,YAAYA,EAAE;AAAA;AAAA;AAAA;AAAA,WAI3C,CAAC,KAAK,SAAS;AAAA;AAAA,UAEhBjB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQAkB;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAASi9E,GAAG/+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,OAAOF,EAAE,OAAOE,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI4+E,GAAG,CAAC,WAAW55F,GAAG,YAAY,QAAQ,WAAW25F,EAAE,EAAE,SAASE,GAAGj/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEH,EAAE,eAAeE,EAAE,MAAM,WAAW,EAAE,EAAEF,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE6B,EAAEg9E,GAAG,CAAC,OAAO,CAAC,EAAE3+E,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE8B,EAAE+8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAO,EAAE,mBAAmB,CAAC,KAAK6B,EAAE,KAAKC,CAAC,EAAE,CAAC,CAAC,IAAIk9E,GAAG,CAAC,WAAWn9F,GAAG,YAAY,QAAQ,WAAWk9F,EAAE,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGngB,SAASC,GAAIr/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEF,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAEuD,EAAEnQ,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGM,GAAG/+E,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIu+E,GAAGO,GAAG9+E,EAAE,MAAM,EAAE,KAAK,EAAE2B,EAAE9B,EAAE,gBAAgB6B,EAAE,CAAC1B,EAAE,CAAC,EAAE,SAAS,EAAE,OAAOH,EAAE,8BAA8B,CAAC,EAAE8B,CAAC,CAAC,IAAIs9E,GAAG,CAAC,WAAWv5F,GAAG,YAAY,QAAQ,WAAWs5F,EAAG,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGla,SAASC,GAAIz/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEzO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGU,GAAGp/E,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIu+E,GAAGW,GAAGn/E,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq/E,GAAG,CAAC,WAAWj3F,GAAG,YAAY,QAAQ,WAAWg3F,EAAG,EAAME,GAAG,0BAA0B,SAASC,GAAG,CAAC,UAAU5/E,EAAE,gBAAgB,EAAE,cAAcE,EAAE,MAAME,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE0B,EAAE,EAAEC,EAAE5B,GAAG,EAAE,MAAM,GAAG2B,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAG7B,GAAG,KAAK,CAAC,IAAIyC,EAAEZ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEa,EAAE1C,EAAEyC,EAAE,OAAOX,CAAC,EAAE,OAAOD,EAAE,eAAe,EAAE,MAAMC,EAAEY,CAAC,CAAC,CAAC,IAAIX,EAAErQ,EAAE,EAAE,QAAQ,6BAA6B,GAAG,GAAG,KAAK8Q,EAAE,OAAOT,EAAES,EAAE,IAAIs7E,GAAG,EAAE,MAAM,CAAC,EAAEt7E,EAAE,IAAIw6E,GAAG,EAAE,MAAMl9E,CAAC,EAAE+B,EAAE,gBAAgBW,EAAE,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,SAAS69E,GAAG,CAAC,UAAU7/E,EAAE,gBAAgB,EAAE,iBAAiBE,EAAE,GAAG,gBAAgBE,EAAE,GAAG,cAAcC,EAAE,MAAM,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAO,EAAE,QAAQ0B,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEC,EAAE,EAAEC,CAAC,EAAE,EAAES,EAAEX,EAAE,GAAG3B,GAAG4B,EAAE,QAAQ,YAAY,CAAC,IAAIc,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAEgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,CAAC,EAAEqF,CAAC,EAAE,CAAC,CAACxE,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,EAAE,CAAClB,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAIS,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEF,EAAEG,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE6C,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE8C,EAAE,IAAI65E,GAAG5+E,EAAEgC,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOS,EAAE,gBAAgBqC,EAAE,CAACH,EAAEC,CAAC,EAAEvG,GAAGoG,EAAE,MAAMC,EAAE,KAAK,CAAC,CAAC,CAAC,EAAE,EAAEs6E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK33E,CAAC,EAAE,QAAQ5E,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B4E,CAAC,EAAE,CAAC,CAAC,IAAI3E,EAAE,GAAGrE,GAAG0D,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAID,EAAE,QAAQ,UAAUC,EAAE,QAAQ,UAAUS,EAAE,mBAAmB,CAACV,EAAEC,CAAC,CAAC,IAAI5B,GAAG,KAAK,CAAC,IAAIyC,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAE,OAAOgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,OAAO,EAAED,EAAE,QAAQ,SAAShU,EAAE,uBAAuB8U,CAAC,EAAEA,EAAEwE,EAAEtF,EAAE,QAAQ,SAAShU,EAAE,uBAAuBgW,CAAC,EAAEA,EAAE,CAAC,EAAES,CAAC,EAAEpE,EAAE2B,EAAE,MAAMC,EAAE,MAAM,EAAEqF,EAAE3E,CAAC,EAAE+B,EAAEhC,EAAE,eAAe+B,EAAE9B,CAAC,EAAEgC,EAAEjC,EAAE,QAAQ,IAAIgC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAO,EAAED,CAAC,CAAC,IAAI9B,EAAEhR,EAAE,EAAE,QAAQ,8BAA8B,GAAG,GAAG,KAAKiR,EAAE,OAAOD,EAAEC,EAAE,IAAIi8E,GAAG,EAAE98E,EAAE,MAAMC,EAAE,MAAM/B,CAAC,EAAE2C,EAAE,IAAI+7E,GAAG5+E,EAAEgC,EAAE,MAAMC,EAAE,KAAK,EAAES,EAAE,gBAAgBG,EAAE,CAACb,EAAEC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,SAASm9E,GAAG9/E,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,SAAS,OAAO,EAAE29E,GAAGP,GAAG,GAAGp9E,IAAI,OAAO,OAAO,EAAE69E,GAAGN,GAAG,GAAGv9E,IAAI,MAAM,OAAO,EAAE49E,GAAGN,GAAG,GAAGt9E,IAAI,QAAQ,OAAO,EAAE89E,GAAGN,GAAG,GAAGx9E,IAAI,QAAQ,OAAO,EAAEw/E,GAAGD,GAAG,GAAGv/E,IAAI,YAAY,OAAO,EAAEo/E,GAAGD,GAAG,GAAGn/E,IAAI,UAAU,OAAO,EAAE+9E,GAAGL,GAAG,MAAM,IAAI,MAAM,cAAc19E,mDAAmD,CAAC,CAAC,IAAI+/E,GAAG,KAAK,CAAC,YAAYn/E,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAGC,EAAE,GAAGC,EAAE,KAAKC,EAAE,GAAG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,SAAS,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,EAAE,KAAK,oBAAoBu1E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI70E,EAAErC,EAAEO,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAK,KAAK8B,EAAE,CAAC,EAAEE,EAAEvC,EAAE,cAAc,cAAcwC,EAAEhB,EAAE,cAAc,cAAciB,EAAEzC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAE2D,EAAEnC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAEoC,EAAE,GAAGqD,EAAE,GAAGvF,IAAIC,EAAEiC,EAAE;AAAA;AAAA,YAE5kFlC;AAAA,WACD,EAAEkC,EAAE;AAAA;AAAA,YAEHlC;AAAA,WACDkC,EAAE;AAAA,YACDlC;AAAA,WACDuF,EAAE,gCAAgC,IAAIxC,EAAEhD,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEE,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAE,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,IAAIyC,EAAE,OAAOC,EAAE,OAAO9D,EAAE,GAAGV,EAAE,GAAGuE,EAAE,cAAc7D,EAAE,MAAMV,EAAE,GAAGU,EAAE,KAAK8D,EAAE,cAAcxE,EAAE,OAAO,KAAK,SAAS;AAAA,QAClU+D;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,uBAIfQ;AAAA,uBACAC;AAAA,8BACO;AAAA,wCACU9B;AAAA,wCACAC;AAAA;AAAA;AAAA;AAAA,uBAIjBC,EAAE,QAAQkB,EAAE;AAAA,uBACZlB,EAAE,QAAQkB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASzBc;AAAA;AAAA,UAEAwC;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAM04E,GAAG,CAAC,KAAK,wCAAwC,KAAK,uCAAuC,EAAEC,GAAG,KAAK,CAAC,YAAYr/E,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,OAAO,EAAE,KAAK,YAAYlS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA,UAGnPU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUL,CAAC,EAAMs/E,GAAG,gBAAgB,SAASC,GAAGngF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAACI,EAAI,EAAEC,CAAC,EAAE,EAAE,EAAErS,EAAE,WAAWoS,EAAE,MAAMC,EAAE,KAAK,EAAE,GAAGD,EAAE,QAAQ,YAAY,CAAC,IAAI2B,EAAE7B,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE4B,EAAE,IAAIg+E,GAAGD,GAAG,KAAK5/E,EAAE,MAAMC,EAAE,KAAK,EAAEqC,EAAE,IAAIu9E,GAAGD,GAAG,KAAK5/E,EAAE,MAAMC,EAAE,KAAK,EAAEsC,EAAE,CAAC,CAAC,OAAOZ,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO4B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,CAAC,EAAEuC,EAAE1C,EAAE,gBAAgB+B,EAAEU,EAAE,SAAS,EAAEE,EAAE3C,EAAE,gBAAgBwC,EAAEC,EAAE,SAAS,EAAEG,EAAEm8E,GAAG,CAAC,OAAO,CAAC,KAAKr8E,EAAE,KAAKC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,GAAG5C,EAAE,mBAAmB,CAACE,EAAEC,CAAC,CAAC,EAAE,CAAC,IAAI0B,EAAE7B,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE,CAAC4B,EAAES,CAAC,EAAEi4E,GAAGv6E,EAAE,MAAMC,EAAE,MAAM0B,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAEW,EAAEzC,EAAE,eAAewC,EAAE,CAAC,EAAEE,EAAE1C,EAAE,QAAQ,IAAIyC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOX,EAAEU,CAAC,CAAC,IAAI,EAAE,OAAO/Q,EAAE,EAAE,QAAQ,8BAA8B,EAAE,EAAE,IAAIktF,GAAGoB,GAAG9/E,EAAE,MAAMC,EAAE,KAAK,EAAE,EAAE,IAAIu+E,GAAGsB,GAAG9/E,EAAE,MAAMC,EAAE,KAAK,EAAEH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI+/E,GAAG,CAAC,WAAW14F,GAAG,YAAY,QAAQ,WAAWy4F,EAAE,EAAE,SAASE,GAAGrgF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAACkwE,GAAGtwE,EAAE,KAAK,EAAE,GAAG6wE,GAAG7wE,EAAE,KAAK,CAAC,EAAEK,EAAE,CAAC,MAAML,EAAE,MAAM,MAAMI,EAAE,OAAOJ,EAAE,MAAM,EAAE,EAAE,CAACswE,GAAG,CAAC,EAAE,GAAGO,GAAG,CAAC,CAAC,EAAE,EAAE,IAAI4L,GAAG,EAAEr8E,CAAC,EAAE2B,EAAE,GAAGC,EAAE,CAAC5B,CAAC,EAAE6B,EAAE/B,EAAE,gBAAgB,EAAE,CAACG,CAAC,EAAEL,EAAE,MAAMgC,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASq+E,GAAGtgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEF,EAAE6B,EAAEvD,EAAE,cAAc6B,EAAE,KAAK,EAAE2B,EAAExD,EAAE,uBAAuB,EAAEuD,CAAC,EAAEE,EAAEzD,EAAE,cAAcwD,CAAC,EAAExD,EAAE,OAAOuD,IAAIE,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC5B,EAAE,cAAc0B,gFAAgF,EAAE,IAAIW,EAAE,EAAE,QAAQ,IAAIrC,EAAE,MAAM,EAAE,OAAOqC,EAAE,UAAU,CAAC4uE,GAAGjxE,EAAE,MAAM2B,CAAC,GAAG,EAAEU,EAAE,UAAU,MAAM4uE,GAAG5uE,EAAE,MAAMV,CAAC,GAAGq+E,GAAGhgF,EAAE2B,EAAE,CAAC,GAAG,EAAE,OAAO3B,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM2B,EAAE,MAAM3B,EAAE,KAAK,EAAE,CAAC,IAAIkgF,GAAG,CAAC,WAAW/2F,GAAG,YAAY,QAAQ,WAAW82F,EAAE,EAAME,GAAG,KAAK,CAAC,YAAY5/E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUG,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,iCAAiC,GAAG9B,GAAG,KAAK,CAAC,IAAI,EAAE,EAAEA,EAAE,EAAE,4BAA4B1B,EAAE,MAAM,CAAC,EAAE,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,IAAIkE,EAAE,GAAGb,EAAE,EAAE,IAAIa,EAAE;AAAA,oCACtvEb;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,UAIba;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqBA;AAAA,cACnBC,IAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA,KAIP,CAAC,EAAMy+E,GAAG,KAAK,CAAC,YAAY7/E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUG,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,MAAMC,EAAE,GAAG9B,IAAI,OAAO6B,EAAE,MAAM7B,IAAI,OAAO6B,EAAE,cAAcC,EAAE,OAAO9B,IAAI,QAAQ6B,EAAE,eAAeC,EAAE,OAAO,IAAI,EAAE,GAAG9B,KAAKA,KAAKA,sEAAsEA,IAAI,MAAM,EAAE,WAAWA,IAAI,OAAO,EAAE,YAAYA,IAAI,MAAM,EAAE,WAAWA,IAAI,QAAQ,EAAE,YAAY,IAAIwC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA,YACrc1C,IAAI;AAAA;AAAA,mBAEGA,IAAI;AAAA;AAAA;AAAA;AAAA,wBAIC8B;AAAA,cACV9B,IAAI,YAAYA,IAAI;AAAA,0BACR8B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOpBa,EAAE,OAAO3C,IAAI,OAAO6B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAI5BC,EAAE,SAAS3C,IAAI,QAAQ6B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAIjCC,EAAE,SAAS,IAAIC,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACFjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBE;AAAA;AAAA;AAAA;AAAA,UAIhCe;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEAf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJW;AAAA;AAAA,YAElBG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA,YACNG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS89E,GAAI1gF,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,EAAE,SAAS,GAAG,EAAE,EAAE,OAAO,GAAG,UAAU,GAAG,CAAC,IAAIE,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO,GAAG,QAAQF,EAAE,GAAGI,EAAEpS,EAAE,yBAAyBkS,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOA,EAAE,WAAWE,EAAE,QAAQ,KAAK,KAAKF,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASugF,GAAG3gF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEqgF,GAAI1gF,EAAE,KAAK,EAAE,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,IAAI,CAAC,GAAG,CAAC,OAAO0B,EAAE,WAAWC,EAAE,QAAQC,CAAC,EAAE5B,EAAE,GAAGqC,EAAEC,EAAEzC,IAAI,OAAOwC,EAAE,IAAI,EAAE,IAAI89E,GAAG,CAAC,WAAWx+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,GAAG,QAAQiC,CAAC,EAAEF,CAAC,EAAE,IAAIy+E,GAAG,CAAC,WAAWx+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,GAAG,QAAQiC,CAAC,CAAC,EAAES,EAAE,IAAI+9E,GAAG,CAAC,WAAWz+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,GAAG,QAAQiC,CAAC,EAAE/B,CAAC,EAAEyC,EAAE,EAAE,EAAEvC,EAAE,gBAAgBsC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEC,EAAE,SAAS3C,EAAE,QAAQI,EAAE,8BAA8BuC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIi+E,GAAG,KAAK,CAAC,YAAYhgF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEV,EAAE4B,IAAI,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEg/E,GAAI3gF,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,QAE10BG;AAAA,uBACewB;AAAA;AAAA,KAElB,CAAC,EAAE,SAASg/E,GAAI7gF,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,sBAAsB,wBAAwB,EAAE,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAEJ,EAAEK,IAAIH,EAAEG,GAAG,OAAOD,EAAE,KAAK,CAAC,CAAC,IAAI0gF,GAAG,KAAK,CAAC,YAAYlgF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAG9B,EAAEV,EAAEwC,IAAI,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,MAAM,6BAA6B,KAAK,4BAA4B,EAAE,IAAIrC,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEw6E,GAAG,KAAK,KAAK,IAAI,EAAEv6E,EAAE,IAAI,MAAM,KAAK,IAAI,EAAE,QAAQY,EAAE,EAAEA,EAAExC,EAAE,OAAOwC,IAAIZ,EAAE5B,EAAEwC,IAAIb,EAAEa,GAAG,IAAIX,EAAE,QAAQD,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKE,EAAE,KAAKH,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK,KAAK,EAAE,mBAAmBC,EAAE,KAAK,OAAOC,KAAK,KAAK,SAAS;AAAA;AAAA,QAE/vB1B;AAAA;AAAA,oBAEY;AAAA,WACT2B;AAAA,sBACW;AAAA;AAAA,UAEZH,EAAE,KAAK,KAAK;AAAA,aACTA,EAAE,KAAK,KAAK,QAAQ,EAAE,KAAK,KAAK;AAAA,sBACvB;AAAA,aACTG;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA,KAKnB,CAAC,EAAE,SAAS++E,GAAG/gF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAExO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIkvF,GAAG9gF,EAAE,MAAM,CAAC,EAAE,IAAI4gF,GAAG5gF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAE,gBAAgBE,EAAE,CAACJ,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,SAASghF,GAAGhhF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,EAAEL,EAAE,MAAM,OAAO,EAAExB,EAAE,eAAe6B,EAAEL,EAAE,KAAK,EAAE+B,EAAE,EAAEC,EAAEhU,EAAE,mBAAmB+T,EAAE,CAAC,EAAEE,EAAED,GAAG,KAAKU,EAAE1C,EAAEiC,IAAIS,EAAEq+E,GAAG/gF,EAAEgC,EAAE5B,CAAC,EAAE2B,EAAE/T,EAAE,iBAAiB+T,EAAE,OAAO,CAAC,GAAG/T,EAAE,2BAA2B,MAAM+T,EAAE,CAAC,EAAE,GAAG,CAACY,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMX,CAAC,EAAEc,EAAEF,EAAEzC,IAAI2C,EAAE7U,EAAE,qBAAqB2U,EAAE,CAAC,GAAG,IAAIG,EAAEtE,EAAE,cAAcoE,CAAC,EAAEqB,EAAEzF,EAAE,cAAcwB,EAAE,KAAK,EAAE8C,EAAEwE,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,MAAM,CAAC,MAAM,CAACuB,EAAEnB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE0E,EAAEhI,GAAGkD,EAAE,KAAK,EAAEyE,EAAEk8E,GAAGr5E,EAAExC,EAAE,MAAM1E,CAAC,EAAEsE,EAAE47E,GAAG,CAAC,OAAO,CAAC,EAAE77E,CAAC,EAAE,MAAM,CAAC,MAAM5B,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8BqE,CAAC,EAAExC,GAAG7B,EAAE,8BAA8BsC,CAAC,EAAEgC,CAAC,CAAC,SAASu8E,GAAGjhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE,OAAO4gF,GAAG3gF,EAAE,EAAE,EAAEH,CAAC,CAAC,CAAC,IAAIghF,GAAG,CAAC,WAAWp1F,GAAG,YAAY,QAAQ,WAAWm1F,EAAE,EAAE,SAASE,GAAGnhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEF,EAAE6B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIV,EAAEU,GAAGrC,EAAE,MAAM,EAAEqC,IAAI,IAAIT,EAAE,GAAG,EAAE,mBAAmB,CAAC5B,CAAC,CAAC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,IAAIA,EAAE,MAAM,EAAE,OAAOuC,EAAEu5E,GAAG,EAAE97E,EAAE,MAAMA,EAAE,MAAM,EAAE2B,CAAC,EAAEC,EAAE,EAAE,eAAeD,EAAE3B,EAAE,KAAK,EAAE,IAAIwC,EAAE,EAAE,QAAQ,IAAIZ,EAAE,MAAM,EAAEY,EAAE,OAAOD,CAAC,MAAMX,EAAE8+E,GAAG1gF,EAAE,EAAE,CAAC,EAAE,OAAO4B,CAAC,CAAC,IAAIm/E,GAAG,CAAC,WAAW70F,GAAG,YAAY,QAAQ,WAAW40F,EAAE,EAAME,GAAG,IAAI,SAASC,GAAG,CAAC,EAAEthF,EAAE,EAAE,EAAE,WAAWE,EAAE,WAAWE,EAAE,QAAQC,EAAE,KAAK,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe0B,EAAE,EAAE,WAAWC,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEjC,EAAE,MAAM,OAAO0C,EAAE,EAAE,MAAM,OAAOC,EAAEzC,EAAEF,EAAE,MAAMiC,EAAE,GAAGjC,EAAE,MAAMiC,EAAE,GAAGW,EAAExC,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGG,EAAE3C,EAAEF,EAAE,MAAMiC,EAAE,GAAGjC,EAAE,MAAMiC,EAAE,GAAGa,EAAE1C,EAAE,EAAE,MAAMsC,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGsB,EAAEhE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEsH,EAAE9I,EAAE,cAAcwF,CAAC,EAAE,EAAExF,EAAE,cAAc,CAAC,EAAEkG,EAAE/V,GAAG,2BAA2BqR,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC6C,EAAEC,CAAC,CAAC,EAAEtE,EAAE,OAAOmE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6B5C,EAAE,aAAa,EAAE,wBAAwBE,oBAAoBE,eAAe,EAAE,IAAIuE,EAAEzE,EAAE,CAACoH,EAAE3E,EAAEE,CAAC,EAAE,CAACyE,EAAEzE,EAAEF,CAAC,EAAEiC,EAAExE,EAAE,CAAC,EAAE0C,EAAEF,CAAC,EAAE,CAAC,EAAEA,EAAEE,CAAC,EAAE+B,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQK,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAEI,EAAEu7E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjgF,EAAE,MAAM,CAAC,MAAMuE,CAAC,CAAC,CAAC,EAAE2C,EAAE,CAAC1C,EAAEE,CAAC,EAAEC,EAAE,KAAK,IAAIsC,EAAE,CAAC,EAAErC,EAAE/E,EAAE2E,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGK,EAAE,GAAG,KAAKC,EAAE,GAAG,KAAKC,EAAEpD,IAAI,YAAYqD,EAAErD,GAAG,KAAK89E,GAAG99E,EAAE,EAAE,EAAE,KAAKgG,EAAE9C,GAAGC,GAAGC,GAAGC,GAAG,KAAKoC,EAAE,IAAI5E,IAAI,GAAGC,IAAI,IAAImC,EAAEo8E,IAAIr5E,IAAI,GAAG,CAAC,IAAIE,EAAGrD,EAAEsD,EAAGpD,EAAE7E,IAAIgI,EAAGi5E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQxE,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKW,CAAE,GAAG9H,IAAI+H,EAAGg5E,GAAG,CAAC,OAAO,CAAC,EAAEp8E,CAAC,EAAE,QAAQ1E,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKY,CAAE,GAAG,IAAIC,EAAGtF,IAAI,EAAEuF,GAAGvF,IAAI,EAAEwF,GAAGJ,EAAGE,IAAKE,GAAGg4E,GAAG,CAAC,OAAO,CAAC,EAAEp4E,CAAE,EAAE,QAAQ7H,EAAE,MAAM,CAAC,MAAM,CAAC2E,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEsC,EAAE,KAAKe,EAAE,GAAG,IAAI5B,GAAG5D,IAAI,EAAE,EAAE,EAAE0F,GAAGL,EAAGE,KAAKG,GAAG83E,GAAG,CAAC,OAAO,CAAC,EAAEn4E,CAAE,EAAE,QAAQ9H,EAAE,MAAM,CAAC,MAAM,CAAC2E,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAEsC,EAAE,KAAKiB,EAAE,GAAG,IAAIC,GAAG03E,GAAG,CAAC,OAAO,CAAC,EAAE73E,GAAG,EAAEE,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEoH,EAAEw5E,GAAG,CAAC,OAAO,CAAC,EAAEx4E,EAAE,EAAE,QAAQpI,EAAE,MAAM,CAAC,KAAKqG,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEa,EAAE,KAAKkB,EAAE,CAAC,KAAK,CAAC,IAAIP,EAAG5J,GAAG0B,EAAE,MAAM,EAAE,KAAK,EAAEmI,EAAG,IAAI43E,GAAGp7E,EAAEC,EAAE,CAACI,EAAEnC,EAAEC,CAAC,EAAE5C,EAAEE,EAAE8E,EAAEG,EAAEF,EAAEC,CAAC,EAAEgD,EAAG,CAACvD,EAAEE,CAAC,EAAE,GAAG,GAAG,MAAMqD,EAAG,KAAK,CAAC,EAAEjD,GAAGiD,EAAG,KAAK,CAAC,EAAEhD,EAAE,CAAC,IAAIiD,GAAGhI,EAAE,eAAe,CAAC,EAAE,UAAU7B,EAAE,kBAAkBuD,EAAE,SAAS,CAAC,EAAEqG,EAAG,KAAKC,EAAE,EAAEd,EAAE,KAAKc,EAAE,CAAC,CAACZ,EAAEpH,EAAE,gBAAgB8H,EAAGC,EAAGF,CAAE,CAAC,CAAC,IAAID,EAAEq4E,GAAG,CAAC,OAAO,CAAC,EAAE74E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAMqE,CAAC,CAAC,CAAC,EAAE6C,EAAE,KAAKE,CAAC,EAAE,QAAQS,KAAMX,EAAElH,EAAE,8BAA8B6H,CAAE,EAAE,OAAOD,CAAC,CAAC,SAASs5E,GAAIvhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAE,OAAOkhF,GAAG,CAAC,EAAEjhF,EAAE,EAAE,EAAE,WAAW2B,EAAE,WAAWC,EAAE,QAAQ/B,EAAE,KAAK,EAAE,uBAAuB6B,EAAE,eAAeY,EAAE,WAAWD,CAAC,CAAC,CAAC,CAAC,IAAI8+E,GAAG,CAAC,WAAW10F,GAAG,YAAY,QAAQ,WAAWy0F,EAAG,EAAME,GAAG,iBAAiB,SAASC,GAAI1hF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGF,EAAE,mBAAmB,CAACE,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEF,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,EAAEk7E,GAAG,EAAE,MAAM,EAAE,OAAOp7E,EAAE,eAAeE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOzO,EAAE,EAAE,QAAQ,6BAA6B,EAAEyO,EAAE,IAAI29E,GAAG59E,EAAE,MAAMqhF,EAAE,EAAEphF,EAAE,IAAI68E,GAAG98E,EAAE,MAAMqhF,EAAE,EAAEvhF,EAAE,gBAAgBG,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuhF,GAAG,CAAC,WAAW7hG,GAAG,YAAY,QAAQ,WAAW4hG,EAAG,EAAME,GAAIzE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzvH0E,GAAIjC,GAAG,CAAC,UAAUgC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW/hG,GAAG,YAAY,QAAQ,WAAW8hG,EAAG,EAAME,GAAI5E,GAAG;AAAA;AAAA,oCAEvD6E,GAAIpC,GAAG,CAAC,UAAUmC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWjiG,GAAG,YAAY,QAAQ,WAAWgiG,EAAG,EAAME,GAAG,gBAAgBC,GAAItC,GAAG,CAAC,UAAUqC,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAc5I,EAAE,CAAC,EAAE8I,GAAG,CAAC,WAAW/hG,GAAG,YAAY,QAAQ,WAAW8hG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzhF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,cAAcV,EAAE,IAAI,CAAC2B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,UAAUA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAE5gB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgBxB;AAAA;AAAA;AAAA,KAGpB,CAAC,EAAMiiF,GAAG,KAAK,CAAC,YAAY1hF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYU,EAAE,KAAK,cAAcV,EAAE,IAAI,CAAC2B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,SAASA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEexB;AAAA;AAAA;AAAA,KAGnB,CAAC,EAAE,SAASkiF,GAAGviF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE3+E,EAAE,EAAE,EAAE,QAAQF,CAAC,CAAC,EAAE,GAAGE,EAAE,OAAOxO,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIoQ,EAAE,KAAK,MAAM5B,EAAE,OAAO,CAAC,EAAE,EAAEmiF,GAAG,CAAC,OAAOniF,EAAE,MAAM,EAAE4B,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAEwC,EAAE6/E,GAAG,CAAC,OAAOniF,EAAE,MAAM4B,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE,OAAOqiF,GAAG,CAAC,OAAO,CAAC,EAAE7/E,CAAC,EAAE,QAAQxC,CAAC,CAAC,CAAC,CAAC,IAAIG,EAAED,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,OAAO,CAACA,EAAE,IAAI1D,GAAG0D,EAAE,CAAC,CAAC,EAAE,EAAE5B,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAED,EAAEnQ,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI0wF,GAAGliF,EAAE,GAAG,MAAM,CAAC,EAAE,IAAIiiF,GAAGjiF,EAAE,GAAG,MAAM,CAAC,EAAE,OAAOF,EAAE,gBAAgB6B,EAAE3B,EAAEC,CAAC,CAAC,CAAC,IAAImiF,GAAG,CAAC,WAAWliG,GAAG,YAAY,QAAQ,WAAWiiG,EAAE,EAAE,SAASE,GAAIziF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,GAAG/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIo7E,GAAG,CAAC,WAAWniG,GAAG,YAAY,QAAQ,WAAWkiG,EAAG,EAAE,SAASE,GAAI3iF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,GAAG/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIs7E,GAAG,CAAC,WAAWpiG,GAAG,YAAY,QAAQ,WAAWmiG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYjiF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAWG,EAAE,UAAUwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,KAAK,YAAY,CAACiB,EAAEC,CAAC,EAAE,IAAIC,EAAE7B,IAAI,MAAM,IAAI,IAAI8B,EAAE,EAAE,gBAAgB,+CAA+C,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAK1uE3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJA;AAAA,wBACN2B;AAAA;AAAA,0BAEED;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOrB,CAAC,EAAM+gF,GAAG,KAAK,CAAC,YAAYliF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG7B,EAAE,OAAOoC,EAAE,OAAO,EAAE,IAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,2CAA2C,EAAE,IAAIiB,EAAEjB,EAAEA,EAAE,OAAO,GAAGkB,EAAE,KAAK,KAAKD,EAAE3B,CAAC,EAAE,KAAK,YAAYU,EAAE,MAAM,EAAE,EAAE,EAAEkB,EAAE,GAAG,KAAK,YAAY,KAAKA,CAAC,EAAEzB,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,IAAI0B,EAAE,KAAK,YAAYC,EAAED,EAAE,OAAO,EAAEk1E,GAAGj1E,CAAC,EAAEU,EAAE45E,GAAG,SAASt6E,CAAC,EAAE,EAAEY,EAAE,GAAGd,IAAI,EAAE,CAACc,EAAEZ,EAAE,EAAE,IAAI+C,EAAEkyE,GAAGr0E,CAAC,EAAE,EAAE;AAAA,UAClcmC,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE;AAAA,UACN+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,KAAK,MAAMY,EAAEZ,EAAE,EAAE;AAAA,UACvB;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE;AAAA,UACN;AAAA,YACEU,EAAEV,EAAE,MAAM,IAAIa,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAED,CAAC,EAAEE,EAAE,IAAID,EAAED,EAAE,GAAGoB,EAAEnB,EAAE,IAAIkC,GAAG,OAAOA,CAAC,EAAEd,EAAEq4E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE0E,EAAEg1E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAEkC,EAAEw3E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE6B,EAAE63E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE8B,EAAE,IAAI,MAAM,cAAc,WAAWC,EAAEtE,EAAE,GAAG;AAAA,sDAC7P4D,EAAE,KAAK;AAAA,sDACPqD,EAAE,KAAK;AAAA,sDACPxC,EAAE,KAAK;AAAA,sDACPL,EAAE,KAAK,QAAQG,EAAE;AAAA,0BAC7CX,EAAE,KAAK;AAAA,uCACMqD,EAAE,KAAK;AAAA,uCACPxC,EAAE,KAAK;AAAA,qDACOL,EAAE,KAAK,WAAWI,EAAExE,EAAE,GAAG;AAAA,qCACzC2D,EAAE,KAAK;AAAA,4CACAnB,EAAE,KAAK;AAAA,iDACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA,SACzD,KAAK,SAAS;AAAA,0BACGmB,EAAE,KAAK;AAAA,iCACAnB,EAAE,KAAK;AAAA,sCACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/CgC;AAAA;AAAA,UAEE;AAAA,4BACkBnC,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,4BACnBU,EAAEV,EAAE,QAAQD,EAAEC,EAAE,GAAG;AAAA,UACrC;AAAA,yCAC+Bc,gBAAgBA;AAAA,sBACnCA,gBAAgBA,QAAQ5C;AAAA;AAAA;AAAA,2BAGnB0E;AAAA;AAAA,8BAEG1E;AAAA;AAAA,YAElByE;AAAA,6BACiBC;AAAA;AAAA;AAAA,mBAGVF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWd,CAAC,EAAE,SAASq+E,GAAG/iF,EAAE,EAAEE,EAAEE,EAAE,KAAK,CAAC,IAAIC,EAAE,EAAE,MAAM,GAAG,EAAE,EAAE,MAAM,GAAGD,GAAG,OAAOC,EAAED,EAAE,MAAM,GAAG,EAAEA,EAAE,MAAM,IAAI,IAAI,EAAEpS,EAAE,yBAAyB,CAAC,EAAE+T,EAAE,CAAC,WAAW,EAAE,OAAO,EAAE,UAAU1B,EAAE,QAAQ,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE2B,EAAE,IAAI6gF,GAAG9gF,EAAE7B,EAAEE,GAAG,IAAI,EAAE6B,EAAE,CAAC,CAAC,EAAE7B,GAAG,MAAM6B,EAAE,KAAK7B,CAAC,EAAE,IAAIsC,EAAE1C,EAAE,gBAAgBgC,EAAEC,EAAE,OAAO,EAAE,GAAGS,EAAE,MAAM,KAAK,EAAE,OAAOA,EAAE,IAAIC,EAAEogF,GAAG/iF,EAAE,EAAEE,EAAEwC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B0C,CAAC,EAAEC,CAAC,CAAC,SAASqgF,GAAGhjF,EAAE,EAAEE,EAAEE,EAAE,KAAK,CAAC,IAAIC,EAAED,GAAG,KAAKA,EAAE,MAAM,EAAE,MAAM,EAAEC,EAAEA,EAAE,OAAO,GAAG,EAAErS,EAAE,yBAAyB,CAAC,EAAE+T,EAAE,IAAI+gF,GAAGziF,EAAE,EAAEH,EAAEE,GAAG,IAAI,EAAE4B,EAAE5B,GAAG,KAAK,CAAC,CAAC,EAAE,CAAC,EAAEA,CAAC,EAAE6B,EAAEjC,EAAE,gBAAgB+B,EAAEC,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,CAAC,IAAIS,EAAEsgF,GAAGhjF,EAAE,EAAEE,EAAE+B,CAAC,EAAE,OAAOjC,EAAE,8BAA8BiC,CAAC,EAAES,CAAC,CAAC,OAAOT,CAAC,CAAC,SAASghF,GAAGjjF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAACH,CAAC,EAAE,GAAGlS,EAAE,2BAA2B,MAAMoS,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEC,EAAE,EAAE,MAAM,MAAM,EAAE,CAACzO,EAAE,EAAE,QAAQ,mBAAmB,GAAG,EAAE,MAAM,QAAQ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAEoO,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE+B,EAAE,IAAI,MAAM,EAAE,SAASC,EAAE,EAAED,IAAIC,EAAEhC,EAAE,aAAa,CAAC,EAAE,EAAE,KAAKgC,CAAC,GAAG,GAAG,CAACC,EAAES,CAAC,EAAE1U,EAAE,0BAA0BgU,EAAE,MAAM3B,CAAC,EAAEsC,EAAEnE,EAAE,cAAckE,CAAC,EAAEE,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG2C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAEkgF,GAAG/iF,EAAE4C,EAAExC,CAAC,EAAE,EAAE,KAAKyC,CAAC,EAAE,IAAIC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAMiC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+B,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,OAAOkgF,GAAGhjF,EAAE,EAAEI,CAAC,CAAC,CAAC,SAAS8iF,GAAIljF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAGhU,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEgU,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEugF,GAAG/iF,EAAE8B,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAGzC,EAAE,8BAA8ByC,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIygF,GAAG,CAAC,WAAW1iG,GAAG,YAAY,QAAQ,WAAWyiG,EAAG,EAAE,SAASE,GAAIpjF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAGhU,EAAE,2BAA2B,SAAS,CAAC,EAAE,EAAE,EAAEgU,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEugF,GAAG/iF,EAAE8B,EAAE,EAAE,GAAG,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAGzC,EAAE,8BAA8ByC,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI2gF,GAAG,CAAC,WAAW3iG,GAAG,YAAY,QAAQ,WAAW0iG,EAAG,EAAME,GAAInG,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1mEoG,GAAI3D,GAAG,CAAC,UAAU0D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW7iG,GAAG,YAAY,QAAQ,WAAW4iG,EAAG,EAAME,GAAItG,GAAG,qCAAqCuG,GAAI9D,GAAG,CAAC,UAAU6D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW/iG,GAAG,YAAY,QAAQ,WAAW8iG,EAAG,EAAME,GAAIzG,GAAG;AAAA;AAAA,EAEvN0G,GAAIjE,GAAG,CAAC,UAAUgE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWjjG,GAAG,YAAY,QAAQ,WAAWgjG,EAAG,EAAME,GAAIpF,GAAG;AAAA;AAAA,EAEzFqF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFnF,GAAG;AAAA;AAAA,EAELoF,GAAIpE,GAAG,CAAC,UAAUkE,GAAI,gBAAgBC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWpjG,GAAG,YAAY,QAAQ,WAAWmjG,EAAG,EAAME,GAAIhH,GAAG;AAAA;AAAA,6CAElEiH,GAAIxE,GAAG,CAAC,UAAUuE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWtjG,GAAG,YAAY,QAAQ,WAAWqjG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY1jF,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE3B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI4B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,sBAAsBgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,QAAQ,IAAIkC,EAAElC,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAIoD,EAAE9D,IAAI,MAAM+D,EAAE,cAAcrD,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,iBAAiB0G,EAAE,SAAS1G,EAAE,mBAAmBA,EAAE,iBAAiBkE,EAAE,MAAM,GAAGd,IAAIc,EAAE,gBAAgB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAK,SAAS;AAAA,sCAC9nBhD,MAAMC;AAAA,mCACTa,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAgC;AAAA,wBACZF;AAAA;AAAA;AAAA,oCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZmE;AAAA;AAAA;AAAA,mCAGS1E,EAAEwB,EAAEoC,EAAEqD,EAAE,QAAQ1E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAM3C,MAAM,CAAC,IAAI6B,EAAE,MAAMC,EAAE,GAAGxE,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQwE,EAAE,8BAA8B,IAAIC,EAAE,KAAK,MAAM7C,EAAE,CAAC,EAAE,EAAE8C,EAAE9C,EAAE,EAAE+C,EAAE;AAAA,YAChLb;AAAA;AAAA;AAAA,wBAGYS;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA,oCACgB1C,MAAMC;AAAA,iCACTa,MAAMC;AAAA,0CACGgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZlE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBEkE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGYlE,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA+D;AAAA,uCACKjC;AAAA;AAAA;AAAA;AAAA,yCAIEA;AAAA,6CACIA;AAAA,6CACAA;AAAA;AAAA;AAAA,cAG/BmC;AAAA;AAAA;AAAA,gCAGkBF;AAAA,gBAChBC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQNC;AAAA,uBACSD,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3BmC;AAAA,uBACSD,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA,6CACIA;AAAA;AAAA;AAAA;AAAA,cAI/BmC;AAAA;AAAA;AAAA,oBAGMH;AAAA;AAAA,KAEf,CAAC,EAAE6/E,GAAG,KAAK,CAAC,YAAY3jF,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE3B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI4B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,eAAegC,EAAEhC,EAAE,cAAciC,EAAEjC,EAAE,qBAAqBkC,EAAElC,EAAE,sBAAsBoD,EAAEpD,EAAE,qBAAqBqD,EAAErD,EAAE,QAAQ,MAAM0G,EAAE1G,EAAE,QAAQ,IAAIkE,EAAElE,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAI6D,EAAEvE,IAAI,MAAMwE,EAAE,MAAM,GAAGD,IAAIC,EAAE,gBAAgB,EAAE,CAAC,IAAIM,EAAE,KAAK,KAAK,SAAS;AAAA;AAAA,oBAErejD,MAAMC,MAAM;AAAA,mCACGiC,MAAMqD,MAAMxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBbjC;AAAA,sBACZH;AAAA;AAAA;AAAA,kCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAoD;AAAA,0BACZpB;AAAA;AAAA;AAAA,sCAGYhC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZoE;AAAA;AAAA;AAAA,qCAGS3E,EAAEwB,EAAE,cAAcjB,EAAE,mBAAmBA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,UAAUA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,QAAQkC,OAAOkB;AAAA,6BACtMA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOrB,MAAM,CAAC,IAAIW,EAAE,MAAMC,EAAE,GAAG1E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ0E,EAAE,8BAA8B,IAAIC,EAAE,KAAK,MAAM/C,EAAE,CAAC,EAAE,EAAEiD,EAAEjD,EAAE,EAAEyF,EAAE;AAAA,YAChL9C;AAAA;AAAA;AAAA,wBAGYE;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA;AAAA,gBAEJ5C,MAAMC,MAAM;AAAA,iCACKiC,MAAMqD,MAAMxC;AAAA,0CACHJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ9D,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE8D;AAAA;AAAA;AAAA;AAAA,gCAIF7B;AAAA,oBACZH;AAAA;AAAA;AAAA,gCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAkC;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGclC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiE;AAAA,yCACKjC;AAAA;AAAA;AAAA;AAAA,+CAIMA;AAAA,mDACIA;AAAA,mDACAA;AAAA;AAAA;AAAA,gBAGnC2E;AAAA;AAAA;AAAA,kCAGkB1C;AAAA,kBAChBE,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQNwC;AAAA,yBACSxC,IAAI;AAAA;AAAA;AAAA,+CAGkBnC;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B2E;AAAA,yBACSxC,IAAI;AAAA;AAAA;AAAA,+CAGkBnC;AAAA,mDACIA;AAAA;AAAA;AAAA;AAAA,gBAInC2E;AAAA;AAAA;AAAA;AAAA,oBAII3C;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS4/E,GAAIxkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAEkvE,GAAGlvE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOq8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIyC,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIokF,GAAG,CAAC,WAAWzjG,GAAG,YAAY,QAAQ,WAAWwjG,EAAG,EAAE,SAASE,GAAI1kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEC,EAAEC,CAAC,EAAEW,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIskF,GAAG,CAAC,WAAW1jG,GAAG,YAAY,QAAQ,WAAWyjG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhkF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB8B,EAAEV,EAAE,EAAEpB,EAAE,QAAQ,IAAI,EAAE,EAAE,EAAEA,EAAE,QAAQ,KAAKgC,EAAE,GAAG1C,EAAE,GAAG,KAAK,SAAS;AAAA,iCACpnCwC,MAAM;AAAA,0CACGE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcVZ;AAAA,oBACZF;AAAA,gDAC4BzB;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACfmB;AAAA,kDAC+BF;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEikF,GAAG,KAAK,CAAC,YAAYjkF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,MAAMoD,EAAEpB,EAAE,EAAEhC,EAAE,QAAQ,IAAIqD,EAAEpB,EAAE,EAAEjC,EAAE,QAAQ,KAAK0G,EAAE,GAAGpH,EAAE,EAAEG,GAAG,KAAK,SAAS;AAAA,iCACtXyC,MAAMkB,MAAMC;AAAA,0CACHqD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZtF;AAAA,gDAC4BH;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJgC;AAAA,sBACZ;AAAA,kDAC4Bd;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJiC;AAAA,wBACZH;AAAA,oDAC4BX;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAE,SAASkkF,GAAI9kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE5U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAIgiF,GAAGjiF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI0kF,GAAG,CAAC,WAAW7jG,GAAG,YAAY,QAAQ,WAAW4jG,EAAG,EAAE,SAASE,GAAIhlF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAEkvE,GAAG,CAAClvE,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAE,IAAIiiF,GAAGliF,CAAC,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI4kF,GAAG,CAAC,WAAW9jG,GAAG,YAAY,QAAQ,WAAW6jG,EAAG,EAAE,SAASE,GAAIllF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,OAAOkhF,GAAG,CAAC,EAAEjhF,EAAE,EAAE,EAAE,WAAW,EAAE,WAAW0B,EAAE,QAAQ7B,CAAC,CAAC,CAAC,CAAC,IAAIilF,GAAG,CAAC,WAAW9jG,GAAG,YAAY,QAAQ,WAAW6jG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYxkF,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAE9T,EAAE,2BAA2B4S,EAAEV,CAAC,EAAElS,EAAE,2BAA2B4S,EAAE,CAAC,EAAE,IAAImB,EAAE,MAAM1B,GAAG,OAAOrS,EAAE,2BAA2B4S,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,MAAMH,GAAG,OAAO7T,EAAE,2BAA2B4S,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKrqCmB;AAAA,wBACDC;AAAA,2DACmCF;AAAA;AAAA;AAAA,KAGtD,CAAC,EAAMujF,GAAG,KAAK,CAAC,YAAYzkF,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAE9T,EAAE,2BAA2B4S,EAAEV,CAAC,EAAElS,EAAE,2BAA2B4S,EAAE,CAAC,EAAE,IAAImB,EAAE,YAAY1B,GAAG,OAAOrS,EAAE,2BAA2B4S,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,YAAYH,GAAG,OAAO7T,EAAE,2BAA2B4S,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA,wBAEtcmB;AAAA,uBACDC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkCF;AAAA;AAAA;AAAA;AAAA,KAIpD,CAAC,EAAMwjF,GAAI,CAAC,CAAC,OAAOtlF,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,KAAKC,EAAE,SAAS,EAAE,OAAO,EAAE,MAAM0B,CAAC,EAAE/B,EAAExB,EAAE,OAAO6B,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAE7B,EAAE,OAAO,GAAG,MAAM6B,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAE7B,EAAE,OAAOuD,GAAG,MAAM1B,EAAE,MAAM,SAAS0B,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE9B,EAAE8B,GAAG,OAAOA,EAAE,MAAM,IAAIC,EAAE,CAAC7B,EAAEC,EAAE,CAAC,EAAEqC,EAAE,KAAK,GAAG,OAAOA,EAAE,EAAE,MAAMT,EAAE,KAAK,CAAC,GAAG,IAAIU,EAAE,KAAKZ,GAAG,OAAOY,EAAEZ,EAAE,MAAME,EAAE,KAAKF,CAAC,GAAG,IAAIa,EAAEhR,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAIyzF,GAAGjlF,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,IAAIojF,GAAGhlF,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,OAAO,EAAE,gBAAgBY,EAAEX,EAAEA,EAAE,GAAG,KAAK,CAAC,EAAEsjF,GAAG,CAAC,WAAW9gG,GAAG,YAAY,QAAQ,WAAW6gG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY5kF,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAIV,EAAE+2E,GAAG,KAAK,IAAI,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAI,EAAEwO,GAAI,KAAK,IAAI,EAAEplF,EAAEwB,EAAEjB,EAAE,IAAI,CAACkB,EAAEC,IAAI,aAAa2jF,GAAG3jF,cAAcA,eAAe2jF,GAAG3jF,KAAK,EAAE1B,EAAE;AAAA,UACplCH;AAAA,UACAA;AAAA,UACA2B,EAAE,KAAK;AAAA,CAChB;AAAA,QACO,KAAK,SAAS;AAAA;AAAA,UAEZxB;AAAA,8BACoB;AAAA;AAAA,KAEzB,CAAC,EAAEqlF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,SAASD,GAAIzlF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,YAAY,GAAGA,GAAG,EAAE,OAAO0lF,GAAG,MAAM,EAAE1lF,CAAC,EAAE,IAAI,GAAG,aAAa,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,MAAM,oBAAoBA,wBAAwB,CAAC,CAAC,IAAI2lF,GAAG,KAAK,CAAC,YAAY/kF,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAIV,EAAE+2E,GAAG,KAAK,IAAI,EAAE,EAAEqF,GAAG,SAAS,KAAK,IAAI,EAAEj8E,EAAEi8E,GAAG,YAAY,KAAK,IAAI,EAAEz6E,EAAE,KAAK,OAAO,EAAE,YAAY,QAAQxB,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKyB,EAAE,wBAAwBzB,EAAE,KAAK,OAAOwB,KAAKE,EAAE;AAAA,mBACtjBD;AAAA,cACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,YACTzB,EAAE,KAAK,KAAK;AAAA;AAAA,MAElB2B,EAAE,KAAK,OAAO,EAAE,GAAG;AAAA,UACf,EAAE,KAAK,KAAK;AAAA,cACR,EAAE,KAAK,KAAK,QAAQpB,EAAE,KAAK,KAAK;AAAA,YAClCP,EAAE,KAAK,KAAK;AAAA,qBACHyB;AAAA,gBACL,EAAE,KAAK,KAAK,QAAQlB,EAAE,KAAK,KAAK;AAAA,cAClCP,EAAE,KAAK,KAAK;AAAA,uBACHyB;AAAA;AAAA;AAAA,MAGjB,EAAE,KAAK,MAAM,EAAE;AAAA,cACP5B,KAAKU,EAAE,IAAI,CAAC8B,EAAE,IAAI,SAAS,IAAI,EAAE,KAAK,MAAM9B,EAAE,IAAI,CAAC8B,EAAE,IAAI,GAAGrC,EAAE,QAAQ,EAAE,cAAc,KAAK,EAAE,KAAK;AAAA,CAC/G,EAAE,KAAK,SAAS;AAAA;AAAA,UAEPH;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA6B;AAAA,UACAC;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAAS4jF,GAAI5lF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAED,EAAE,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAEI,EAAE,eAAeF,EAAEF,EAAE,KAAK,EAAE,EAAEI,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,OAAO,OAAO,EAAEC,CAAC,EAAE,EAAE,SAAS,EAAE,EAAE,MAAMH,EAAE,EAAE,MAAMF,EAAE,MAAM,IAAI+B,EAAEnG,GAAG,kBAAkB,EAAE4C,EAAE,eAAewB,EAAE,KAAK,CAAC,EAAEK,EAAE,QAAQ0B,GAAG1B,EAAE,MAAM,YAAY,EAAE,MAAM,CAAC,WAAW0B,EAAE,WAAW1B,EAAE,OAAOA,EAAE,MAAM,YAAYL,EAAE,MAAM,EAAE,IAAIgC,EAAE5B,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,GAAG,EAAE,OAAOA,EAAE,aAAa,IAAI,EAAE,MAAM,WAAW4B,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS6jF,GAAG7lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE,CAAC2B,EAAEC,CAAC,EAAEpG,GAAG,iBAAiByE,EAAE,EAAE,CAAC,EAAE,GAAGzE,GAAG,kBAAkByE,EAAE0B,EAAEC,CAAC,EAAExD,EAAE,cAAcwD,CAAC,IAAI,EAAE,OAAO9B,EAAE,eAAe8B,EAAE3B,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGH,EAAE,mBAAmB,CAACG,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIsC,EAAEzC,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEuC,EAAE24E,GAAG54E,EAAE,OAAOZ,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOH,EAAE,eAAe8B,EAAE3B,EAAE,MAAMuC,CAAC,CAAC,CAAC,GAAG,CAAC,SAASX,CAAC,EAAE/B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEqC,EAAE9G,GAAG,iBAAiByE,EAAE,MAAM0B,EAAEC,CAAC,EAAE,GAAGC,GAAG,CAACS,EAAE,CAAC,IAAIC,EAAE/Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI+zF,GAAG3jF,CAAC,EAAE,IAAIwjF,GAAGxjF,CAAC,EAAEY,EAAE,CAACb,CAAC,EAAE,OAAO7B,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,OAAO1C,EAAE,YAAYG,EAAE,MAAM,EAAEulF,GAAIvlF,EAAE0B,EAAEC,EAAE9B,CAAC,CAAC,CAAC,IAAI4lF,GAAG,CAAC,WAAWn7F,GAAG,YAAY,QAAQ,WAAWk7F,EAAE,EAAME,GAAI/lF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE5B,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAAC,EAAE0C,IAAI,EAAEA,CAAC,EAAEzC,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE,CAAC,EAAEC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEgC,EAAEm9E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE4E,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3lF,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAOC,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKmB,CAAC,EAAEnB,EAAE,KAAK,CAAC,EAAEA,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAEoH,CAAC,EAAE0+E,GAAG,CAAC,WAAW1kG,GAAG,YAAY,QAAQ,WAAWykG,EAAG,EAAE,SAASE,GAAIjmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE+B,EAAEs3E,GAAGx3E,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM+B,CAAC,CAAC,CAAC,IAAIikF,GAAG,CAAC,WAAW3kG,GAAG,YAAY,QAAQ,WAAW0kG,EAAG,EAAE,SAASE,GAAInmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE,EAAEF,EAAE,SAASG,EAAE,MAAM,EAAE0B,EAAE/T,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOkS,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIqkF,GAAG,CAAC,WAAW5kG,GAAG,YAAY,QAAQ,WAAW2kG,EAAG,EAAME,GAAI,wBAAwBC,GAAGzG,GAAG,CAAC,UAAUwG,GAAI,cAAcxL,GAAG,MAAM,MAAM,CAAC,EAAE0L,GAAG,CAAC,WAAWx+F,GAAG,YAAY,QAAQ,WAAWu+F,EAAE,EAAE,SAASE,GAAGxmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,EAAE,mBAAmB,IAAI,EAAE,QAAQH,CAAC,CAAC,CAAC,CAAC,IAAIumF,GAAG,CAAC,WAAWv9F,GAAG,YAAY,QAAQ,WAAWs9F,EAAE,EAAME,GAAI,wBAAwB,SAASC,GAAG3mF,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAIg9E,GAAGl9E,EAAE,MAAM0mF,EAAG,EAAEtmF,EAAE,EAAE,gBAAgBF,EAAE,CAACF,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,OAAOI,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASwmF,GAAG5mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAO0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI,EAAEX,GAAGc,EAAE,KAAK,EAAE0B,EAAE6kF,GAAG,CAAC,OAAO,CAAC,EAAEvmF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAKl9E,EAAE,KAAK,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,CAAC,GAAG3B,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMnmF,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE6B,EAAE6kF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1mF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE6B,CAAC,CAAC,GAAG,CAACvD,EAAE,gBAAgB6B,EAAE,MAAM,CAAC,EAAE,CAAC,IAAI,EAAE0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,GAAGA,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEH,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEw3E,GAAG,EAAEp5E,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,eAAe6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,GAAG,IAAI,QAAQ,OAAO0kF,GAAGtmF,EAAEH,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAI,EAAEA,EAAE,eAAe,CAAC,EAAE,OAAO1B,EAAE,uBAAuB,OAAO,CAAC,CAAC,EAAEwD,EAAEskF,GAAG,CAAC,OAAO,CAAC,EAAEjmF,EAAE,EAAE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE8B,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiC3B,EAAE,YAAY,GAAG,CAAC,CAAC,IAAIwmF,GAAG,CAAC,WAAWjlG,GAAG,YAAY,QAAQ,WAAWglG,EAAE,EAAME,GAAG,kBAAkBC,GAAInH,GAAG,CAAC,UAAUkH,GAAG,gBAAgBA,GAAG,cAAcpN,EAAE,CAAC,EAAEsN,GAAG,CAAC,WAAWnlG,GAAG,YAAY,QAAQ,WAAWklG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYrmF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWjlI,CAAC,EAAMsmF,GAAG,KAAK,CAAC,YAAYtmF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWnN,CAAC,EAAE,SAASumF,GAAInnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAEnQ,EAAE,EAAE,QAAQ,iBAAiB,EAAEmQ,EAAE,IAAImlF,GAAG7mF,EAAE,KAAK,EAAE0B,EAAE,IAAIklF,GAAG5mF,EAAE,KAAK,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB6B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,CAAC,IAAIolF,GAAG,CAAC,WAAWtlG,GAAG,YAAY,QAAQ,WAAWqlG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzmF,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAaxX,CAAC,EAAE,SAAS0mF,GAAGtnF,EAAE,EAAE,CAAC,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASunF,GAAIvnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,EAAE,IAAIinF,GAAGjnF,EAAE,KAAK,EAAE,EAAE,CAACknF,GAAGlnF,EAAEC,EAAE,mBAAmB,IAAI,EAAEinF,GAAGlnF,EAAEC,EAAE,mBAAmB,IAAI,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,EAAE,EAAE,GAAG,KAAK,CAAC,CAAC,IAAIsnF,GAAG,CAAC,WAAWxlG,GAAG,YAAY,QAAQ,WAAWulG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY7mF,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY5S,EAAE,gBAAgB4S,EAAE,CAAC,EAAE,KAAK,cAAcA,EAAE,IAAI,CAACkB,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI7B,EAAE,IAAI,MAAMU,EAAE,OAAO,CAAC,EAAEV,EAAE,GAAGU,EAAE,GAAG,GAAG,QAAQkB,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI5B,EAAE4B,GAAG5B,EAAE4B,EAAE,GAAGlB,EAAEkB,GAAG,GAAG,IAAI,EAAE,CAAC,YAAY5B,EAAE,+BAA+B,EAAE,QAAQ4B,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIC,EAAE7B,EAAE4B,EAAE,GAAG,EAAE,KAAK,iBAAiB5B,EAAE4B,qBAAqBA,YAAYC,MAAM,CAAC,CAAC,IAAI1B,EAAEH,EAAE,OAAO2B,EAAE3B,EAAEA,EAAE,OAAO,GAAG,EAAE,KAAK,sBAAsBG,YAAYwB,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMjyB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,KAEJ,CAAC,EAAM6lF,GAAG,KAAK,CAAC,YAAY9mF,EAAEV,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYlS,EAAE,gBAAgB4S,EAAEV,CAAC,EAAE,IAAI,EAAE,KAAK,YAAYG,EAAE,EAAE,OAAOwB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAEw6E,GAAG,SAASj8E,CAAC,EAAE0B,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE1B,CAAC,EAAE,KAAK,cAAcO,EAAE,IAAI,CAACoD,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAIjC,EAAE,IAAI,MAAMpB,EAAE,OAAO,CAAC,EAAEoB,EAAE,GAAGpB,EAAE,GAAGV,GAAG,QAAQ8D,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAIhC,EAAEgC,GAAGhC,EAAEgC,EAAE,GAAGpD,EAAEoD,GAAG9D,GAAG,IAAI,EAAE6B,EAAE7B,GAAGwC,EAAEX,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAE,KAAK,EAAEa,EAAE,OAAO,OAAOZ,EAAE;AAAA;AAAA,oBAEjZ,YAAYU,EAAE,KAAK;AAAA,WAC5B,QAAQsB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,GAAGpB,GAAG;AAAA,cACzC,OAAOZ,EAAEgC,UAAU,QAAQhC,EAAEgC,EAAE;AAAA;AAAA,kBAE3BA,KAAK2jF,GAAG5lF,EAAE,EAAEkC,CAAC;AAAA,mBACZ0jF,GAAGjlF,EAAE,EAAEuB,CAAC;AAAA,UACjB,CAAC,IAAIpB,EAAEb,EAAE,OAAOc,EAAEd,EAAEA,EAAE,OAAO,GAAGY,GAAG;AAAA;AAAA,gBAE7BC,KAAK8kF,GAAG5lF,EAAE,EAAEe,CAAC;AAAA,iBACZ6kF,GAAGjlF,EAAE,EAAEI,CAAC,OAAO,KAAK,SAAS;AAAA,uBACvBf,EAAE,IAAIiC,GAAG,OAAOA,CAAC;AAAA,UAC9BpB;AAAA;AAAA;AAAA;AAAA,UAIAf;AAAA,sCAC4BC;AAAA;AAAA,UAE5BA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,QAAQyB,EAAEzB,EAAE;AAAA,cACZyB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,cAChByB,EAAEzB,EAAE,QAAQ,EAAEA,EAAE;AAAA,gCACEyB;AAAA;AAAA;AAAA;AAAA,KAI3B,CAAC,EAAE,SAAS6lF,GAAG3nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,IAAI,CAAC6B,EAAEC,IAAIA,IAAI1B,EAAE,GAAGyB,OAAO3B,IAAI2B,CAAC,EAAE,KAAK,CAAC,CAAC,SAAS+lF,GAAG5nF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,EAAE,mBAAmB,IAAI,EAAE,QAAQH,CAAC,CAAC,CAAC,CAAC,IAAI2nF,GAAG,CAAC,WAAWxiG,GAAG,YAAY,QAAQ,WAAWuiG,EAAE,EAAE,SAASE,GAAG9nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,GAAG,MAAM,GAAGI,IAAI,YAAY,CAAC,IAAIyC,EAAE7C,EAAE,IAAI,GAAGwmF,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQtmF,CAAC,CAAC,CAAC,EAAE4C,EAAE9C,EAAE,IAAI,GAAG4nF,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQ1nF,CAAC,CAAC,CAAC,EAAE8D,EAAE8jF,GAAGjlF,EAAE,EAAE3C,CAAC,EAAE,EAAE4nF,GAAGhlF,EAAE,EAAE5C,CAAC,EAAEoH,EAAE23E,GAAG,CAAC,OAAO,CAAC,KAAKj7E,EAAE,KAAK,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAE,OAAO2C,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAE4C,EAAE,QAAQ,GAAG5C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEoH,CAAC,CAAC,IAAIjH,EAAEH,EAAE,mBAAmBF,CAAC,EAAE,GAAGI,IAAI,WAAWC,EAAE,IAAIA,EAAE,CAAC,IAAIwC,EAAE7C,EAAE,IAAI0E,GAAG,CAAC,IAAIE,EAAE,CAAC,GAAGpG,EAAE,cAAckG,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO47E,GAAG,CAAC,OAAO,CAAC,EAAE57E,CAAC,EAAE,QAAQxE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE9B,EAAED,EAAE,IAAI6B,IAAI,CAAC,KAAKxE,EAAE,SAASwE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEV,EAAEhW,EAAE,gBAAgB6U,EAAE,IAAI6B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,EAAE7B,EAAE,GAAG,MAAM,KAAK,EAAEyE,EAAEqyE,GAAG72E,EAAEkB,EAAE5D,EAAE,CAAC,EAAE,EAAEpS,EAAE,gBAAgBgS,EAAE,IAAI0E,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAED,EAAEvE,EAAE,eAAe,EAAEE,EAAEkH,CAAC,EAAE,OAAOzE,EAAE,QAAQ6B,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI,EAAEzE,EAAE,OAAO6C,GAAGrE,EAAE,cAAcqE,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEjR,EAAE,EAAE,QAAQ,6BAA6B,GAAG,EAAE,GAAG,MAAM,OAAO,EAAE,GAAG,EAAE,SAAS,EAAE,CAAC,IAAIiR,EAAE,EAAE,IAAIq6E,GAAGl9E,EAAE,GAAG,MAAMy9E,EAAE,EAAE,IAAIO,GAAGh+E,EAAE,GAAG,MAAMy9E,EAAE,EAAE,OAAOv9E,EAAE,gBAAgB2C,EAAE7C,EAAEI,CAAC,CAAC,CAAC,IAAI2B,EAAEnQ,EAAE,EAAE,UAAU,8BAA8B,EAAE,GAAG,EAAE,OAAOmQ,EAAE,CAAC,IAAIc,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE,EAAE,OAAOA,GAAGjC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAMiC,EAAEA,EAAEjC,CAAC,EAAEc,EAAE,KAAKilF,GAAG,EAAE,EAAE5nF,CAAC,CAAC,CAAC,CAAC,IAAI4C,EAAEglF,GAAGjlF,EAAE,EAAE3C,CAAC,EAAE,QAAQ8D,KAAKnB,EAAE3C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOlB,CAAC,CAAC,GAAG,EAAE,CAAC,IAAID,EAAE,IAAI6kF,GAAG,EAAE,IAAI5kF,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB2C,EAAE,EAAEzC,CAAC,CAAC,CAAC,GAAG,CAAC,UAAU4B,EAAE,SAASC,CAAC,EAAE8lF,GAAI,EAAE,EAAE7nF,CAAC,EAAEwC,EAAE,IAAI+kF,GAAGzlF,EAAE,IAAIa,GAAGA,EAAE,KAAK,CAAC,EAAEF,EAAEzC,EAAE,gBAAgBwC,EAAEV,EAAE5B,CAAC,EAAE4B,EAAE,QAAQa,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAE,IAAID,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,MAAM,CAAC,MAAMV,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8ByC,CAAC,EAAEC,CAAC,CAAC,SAASmlF,GAAI/nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEpS,EAAE,gBAAgBgS,EAAE,IAAI6B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,UAAU7B,EAAE,IAAI6B,GAAGy+E,GAAG,CAAC,OAAO,CAAC,EAAEz+E,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAGrD,EAAE,cAAcqD,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,QAAQ3B,CAAC,CAAC,CAAC,EAAE,SAASE,CAAC,CAAC,CAAC,SAAS4nF,GAAGhoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe6B,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAEjU,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAI+T,EAAE/T,EAAE,gBAAgB,EAAE,IAAIiU,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGzD,EAAE,cAAcuD,CAAC,IAAI,EAAE,OAAO7B,EAAE,eAAe6B,EAAE,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOC,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,EAAE,CAAC,EAAE,OAAOD,EAAE,SAAS,EAAE+8E,GAAG,CAAC,OAAO,CAAC,EAAE/8E,EAAE,EAAE,EAAE,QAAQ9B,CAAC,CAAC,EAAE4nF,GAAG9lF,EAAE,EAAE9B,CAAC,CAAC,CAAC,IAAI+nF,GAAG,CAAC,WAAWhmG,GAAG,YAAY,QAAQ,WAAW+lG,EAAE,EAAME,GAAG,KAAK,CAAC,YAAYtnF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYjB,EAAE,SAAS,IAAIkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,eAAe,EAAEA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAEqD,EAAErD,EAAE,aAAa,eAAe0G,EAAErD,EAAE,EAAE,EAAEa,EAAEb,EAAE,EAAE,EAAEQ,EAAER,EAAE,EAAE,EAAES,EAAE,GAAGC,EAAE,GAAG,IAAItE,EAAEqE,EAAE;AAAA;AAAA,YAEpwF;AAAA,WACD7C,EAAE6C,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJC,EAAE,gCAAgC,IAAIC,EAAE1E,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO6C;AAAA;AAAA,oCAE4B1C,MAAM;AAAA,iCACTF,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb0C;AAAA;AAAA;AAAA,2BAGC6C,cAAcxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOTlC;AAAA,qCACKF;AAAA;AAAA,gCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAiC;AAAA,uCACK;AAAA;AAAA,kCAELjC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBFD,IAAI;AAAA;AAAA,oBAEFC;AAAA;AAAA,0CAEsBnB;AAAA,mCACPA;AAAA;AAAA;AAAA,kCAGDA;AAAA,mCACCA;AAAA;AAAA;AAAA,yBAGVkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKPkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB8B;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAEwjF,GAAG,KAAK,CAAC,YAAYvnF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,IAAIV,EAAEU,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIP,EAAEO,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,YAAYgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAE,KAAK,SAAS;AAAA,oCACnUiB,MAAMC,MAAMC;AAAA,iCACf7B,MAAM,MAAMG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK2B;AAAA;AAAA,gCAELpB,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAgC;AAAA,uCACK;AAAA;AAAA,kCAELhC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiC;AAAA,yCACKH;AAAA;AAAA,oCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlBkB,IAAI;AAAA;AAAA,4CAEoBlB;AAAA,qCACPA;AAAA,2BACVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA;AAAA;AAAA,2BAGVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA,qCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAShC,CAAC,EAAMslF,GAAG,KAAK,CAAC,YAAYxnF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,QAAQ,KAAKmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,aAAa8B,EAAE9B,EAAE,YAAY,EAAE8B,EAAEE,EAAE;AAAA;AAAA,gDAE5Y,QAAQqB,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,yBAC9CqB,EAAE;AAAA,wBACHA,EAAE;AAAA,yBACDA,EAAE,EAAE;AAAA,wBACLA,EAAE,EAAE;AAAA,oBACRA,KAAKrB,GAAG;AAAA,2BACD;AAAA,8BACGhC,EAAE;AAAA,SACvB,QAAQqD,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,oBACZqB,EAAE;AAAA,oBACFA,EAAE;AAAA,oBACFA,EAAE,EAAE;AAAA,oBACJA,EAAE,EAAE;AAAA,eACTA,iBAAiBrB,GAAG;AAAA;AAAA;AAAA,SAG1B,QAAQqB,EAAE,EAAEA,GAAG,EAAE,GAAG,EAAEA,IAAI,CAAC,IAAIqD,EAAErD,EAAE,EAAE,GAAGrB,GAAG;AAAA,6BACvB0E,EAAEtF;AAAA,aAClBD,IAAI,GAAG,GAAGuF,EAAE5E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,uEAE8B0E;AAAA,4BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKEA;AAAA;AAAA,4BAEFA;AAAA;AAAA,iBAEXtF,IAAI,GAAGsF,EAAE,EAAE1E,GAAG;AAAA,qBACV0E,mBAAmBA,EAAE,gBAAgBA;AAAA,mBACvC1E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYG0E,gCAAgCA;AAAA;AAAA,yBAEhCA,6BAA6BA;AAAA;AAAA,sBAEhC1E,GAAG;AAAA,2DACkC0E;AAAA,4BAC/BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,qBAGPA,cAAcA;AAAA,mBAChBA,EAAE,EAAE5E,GAAG,CAAC,IAAIoC,EAAEhD,EAAE,IAAI,EAAEtD,EAAE,kBAAkBwD,CAAC,EAAEA,EAAEA,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGE,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGc,GAAG;AAAA,wDACjDkC;AAAA;AAAA,yEAEiBwC,EAAE;AAAA,8BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKAA,EAAE;AAAA;AAAA,8BAEJA,EAAE;AAAA;AAAA,qBAEXtF,EAAE,EAAEY,GAAG;AAAA;AAAA;AAAA;AAAA,0BAIF0E,EAAE,gCAAgCA,EAAE;AAAA;AAAA,0BAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,uBAEpC1E,GAAG;AAAA,yBACD0E,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,wBACxCxC,IAAI,EAAElC,GAAG;AAAA,yBACR0E,EAAE,cAAcA;AAAA,uBAClB1E,GAAG;AAAA,uCACakC;AAAA;AAAA,2EAEoCwC,EAAE;AAAA,gCAC7CA,EAAE;AAAA;AAAA,kCAEAA,EAAE;AAAA;AAAA,gCAEJA,EAAE;AAAA;AAAA;AAAA,yBAGTA,EAAE,cAAcA,EAAE;AAAA,sBACrB,OAAOA,EAAE5E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAEuB0E;AAAA,4BAC1CA;AAAA;AAAA;AAAA;AAAA,8BAIEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,kEAGsCA,EAAE;AAAA,4BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,8BAIAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,iBACzCA,EAAE,EAAE5E,IAAIE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAML0E,EAAE,mBAAmBA,EAAE;AAAA,sBACxB1E,GAAG;AAAA,0DACiC0E;AAAA,4BAC9BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA;AAAA,sEAI0CA,EAAE;AAAA,4BAC5CA,EAAE;AAAA;AAAA,8BAEAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA;AAAA,4BACOA,gBAAgBA,EAAE;AAAA,iBAC7BA,EAAE,EAAE5E,IAAIE,GAAG;AAAA,uBACL0E,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,sBACxCA,EAAE5E,IAAIE,GAAG;AAAA,gCACC0E;AAAA,4BACJA;AAAA,2BACD1G,EAAE;AAAA,8BACC0G;AAAA;AAAA,aAEjBA,EAAE,EAAE5E,IAAIE,GAAG;AAAA,kCACU0E,EAAE;AAAA,8BACNA,EAAE;AAAA,6BACH1G,EAAE;AAAA,gCACC0G,EAAE;AAAA;AAAA,gBAElB,CAAC1E,GAAG;AAAA;AAAA,KAEfA,GAAG;AAAA;AAAA,KAEHA,GAAG;AAAA;AAAA,KAEH,IAAIC,EAAE,GAAGC,EAAE,GAAG,IAAIzC,EAAEwC,EAAE;AAAA;AAAA,aAEd;AAAA,YACDhB,EAAEgB,EAAE;AAAA;AAAA,aAEH;AAAA,YACDA,EAAE;AAAA,aACD;AAAA,YACDC,EAAE,gCAAgC,IAAIkB,EAAE9D,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,SACrOgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaED;AAAA;AAAA;AAAA,WAGAoB;AAAA,WACAlB;AAAA;AAAA;AAAA,MAGL,CAAC,EAAMulF,GAAG,KAAK,CAAC,YAAYznF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,KAAK,aAAa,KAAK,KAAK,EAAE,CAAC,KAAK,mBAAmB,KAAK,KAAK,EAAE,CAAC,KAAK,WAAW,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,GAAG,CAAC,WAAW,CAAC,EAAEr3E,EAAEG,EAAEuzE,GAAG,EAAE/xE,EAAE,IAAI,eAAeC,EAAED,EAAE,EAAE,EAAEE,EAAEF,EAAE,EAAE,EAAEG,EAAE,KAAK,oBAAoB,sDAAsD,mBAAmBpB,EAAE,eAAeA,EAAE,QAAQ,EAAE,GAAG,QAAQ8B,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG;AAAA,gCACjnB;AAAA,yBACPA;AAAA;AAAA,YAEbV;AAAA;AAAA;AAAA;AAAA,iCAIqBF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQEC;AAAA;AAAA;AAAA;AAAA,sBAIbF;AAAA;AAAA,2BAEKa,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJA,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOrB,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEArC,EAAE;AAAA;AAAA,KAEP,CAAC,EAAE,SAASioF,GAAGtoF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,OAAOE,GAAG,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,GAAGF,EAAEE,EAAE,GAAGF,EAAEE,EAAE,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGF,EAAE,GAAG,EAAE,CAACA,EAAE,GAAG,CAAC,EAAE,IAAI,CAAC,SAASuoF,GAAG,CAAC,EAAEvoF,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQE,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEhC,EAAE,MAAMiC,EAAE7B,EAAE,QAAQ,IAAIJ,EAAE,MAAM,EAAE0C,EAAExC,EAAE,WAAWyC,EAAEX,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGY,EAAE1C,EAAE,YAAY2C,EAAE3C,EAAE,aAAa,eAAe4C,EAAE,GAAGkB,EAAE,GAAG,EAAEsD,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI5C,EAAE4jF,GAAG,EAAE,MAAMzlF,CAAC,EAAE6B,GAAG,OAAO,EAAE47E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE4C,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGjH,GAAG,KAAK,CAAC,IAAIqE,EAAE4jF,GAAGjoF,EAAE,MAAMwC,CAAC,EAAE6B,GAAG,OAAOrE,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE4C,EAAE,KAAKjH,CAAC,EAAE,CAAC,GAAG,GAAGsC,IAAI,GAAGC,IAAI,IAAIF,EAAE2+E,KAAKp/E,EAAE,UAAUY,GAAGZ,EAAE,SAAS,MAAMD,EAAE,GAAG,IAAI,GAAGxD,EAAE,YAAYyD,EAAE,MAAM,MAAM,EAAE,EAAED,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,GAAG2C,EAAE,CAAC,OAAO3E,EAAE,OAAO,MAAM,CAAC,EAAE0E,EAAExE,EAAE,UAAU,EAAE,MAAMF,EAAE,KAAK,EAAE4E,EAAE3C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,KAAKzD,EAAE,OAAO8yE,GAAGrvE,EAAE,MAAM0C,EAAE,KAAK,EAAE,IAAI,kBAAkB1C,EAAE,YAAY0C,EAAE,kBAAkB,EAAE,IAAIE,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEF,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEoH,EAAE,KAAKzC,CAAC,EAAE,IAAIE,EAAEu8E,GAAG,CAAC,EAAE38E,EAAE,EAAEE,EAAE,QAAQzE,EAAE,WAAW0C,EAAE,WAAWkB,EAAE,KAAK3D,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAEwF,EAAEnH,EAAE,QAAQ,IAAI2E,EAAE,MAAM,EAAEvG,EAAE,OAAO+I,EAAE,SAAS,IAAI,6CAA6C,EAAEtF,EAAE,MAAM2C,EAAE2C,EAAE,MAAMrH,EAAE,SAAS,EAAE6+E,GAAG,CAAC,OAAO,CAAC,EAAEh6E,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE,EAAE,MAAMF,EAAE,SAASoH,EAAE,KAAKvC,CAAC,CAAC,KAAK,CAAC,IAAIL,EAAExE,EAAE,UAAUA,EAAE,SAASyE,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQI,EAAE,MAAM,CAAC,MAAMyC,EAAE,CAAC3C,EAAE,UAAUwE,EAAExE,EAAE,UAAU,EAAE,CAACA,EAAE,UAAUA,EAAE,WAAWwE,CAAC,CAAC,CAAC,CAAC,EAAEE,EAAE07E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEF,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAE2E,EAAEy8E,GAAG,CAAC,EAAEz+E,EAAE8B,EAAEC,EAAE,EAAE/B,EAAE+B,EAAED,EAAE,WAAW,CAAC9B,EAAE,WAAWmB,EAAE,QAAQ5D,EAAE,KAAKC,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAE,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEz7E,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAMF,EAAE,QAAQ,CAAC,CAAC,EAAEoH,EAAE,KAAK3C,CAAC,EAAE2C,EAAE,KAAK1C,CAAC,EAAE0C,EAAE,KAAKzC,CAAC,CAAC,CAAC,QAAQH,KAAK4C,EAAElH,EAAE,8BAA8BsE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS8jF,GAAG,CAAC,EAAExoF,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQE,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,GAAG,CAAC,YAAYC,EAAE,aAAaC,EAAE,WAAWS,EAAE,SAASC,EAAE,UAAUC,EAAE,WAAWC,CAAC,EAAE3C,EAAE4C,EAAED,IAAI,eAAemB,EAAEhC,EAAEC,EAAES,EAAE,EAAEE,EAAED,EAAE2E,EAAE,CAACpH,EAAE,UAAU8D,EAAE,CAAC,EAAE,EAAE,GAAGS,EAAE,GAAGC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIuD,EAAEqgF,GAAG,EAAE,MAAMxlF,CAAC,EAAEmF,GAAG,OAAO,EAAEq4E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM6H,CAAC,CAAC,CAAC,EAAEvD,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGrE,GAAG,KAAK,CAAC,IAAI4H,EAAEqgF,GAAGjoF,EAAE,MAAMyC,CAAC,EAAEmF,GAAG,OAAO5H,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM6H,CAAC,CAAC,CAAC,EAAEvD,EAAE,KAAKrE,CAAC,EAAE,CAAC,IAAIsE,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE4D,EAAExF,EAAE,cAAc,EAAE,KAAK,EAAEwF,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAE,IAAIyjF,GAAG/gF,EAAEpH,CAAC,EAAE2E,EAAE,CAAC7E,EAAE,MAAM,CAACE,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,UAAU,EAAE,CAACA,EAAE,YAAYA,EAAE,UAAU,EAAE,CAACA,EAAE,QAAQ,CAAC,EAAE6E,EAAE3E,EAAE,gBAAgBwE,EAAE,CAAC5E,CAAC,EAAE,UAAU6E,CAAC,EAAE0C,EAAE+4E,GAAG,CAAC,OAAO,CAAC,EAAEv7E,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAMkH,CAAC,CAAC,CAAC,EAAE5C,EAAE,KAAKK,CAAC,EAAEL,EAAE,KAAK6C,CAAC,EAAE,IAAIvC,EAAE3E,GAAG,KAAK4E,EAAE,GAAG,KAAKC,EAAEnD,IAAI,YAAYoD,EAAEpD,EAAE+9E,GAAG/9E,EAAE,EAAE,EAAE,KAAKqD,EAAE,IAAI26E,GAAGj9E,EAAEyE,EAAE,MAAM5C,EAAE,MAAM7B,EAAE6B,EAAE,MAAM4C,EAAE,MAAMzE,EAAE,CAAC5C,EAAE,UAAU,EAAEA,EAAE,WAAW,EAAE,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,EAAE,EAAEuE,EAAEO,EAAEG,EAAEF,EAAEC,CAAC,EAAEG,EAAEvC,EAAE,CAACyE,EAAE5C,CAAC,EAAE,CAACA,EAAE4C,CAAC,EAAE,GAAGlH,GAAGgF,EAAE,KAAKhF,CAAC,EAAE4E,GAAGI,EAAE,KAAK,CAAC,EAAEH,EAAE,CAAC,IAAI+C,EAAE7H,EAAE,eAAe,CAAC,EAAE,UAAU5B,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAE6G,EAAE,KAAK4C,CAAC,EAAEvD,EAAE,KAAKuD,CAAC,CAAC,CAAC,IAAID,EAAE5H,EAAE,gBAAgBgF,EAAEC,EAAE,SAAS,EAAEoC,EAAE64E,GAAG,CAAC,OAAO,CAAC,EAAEt4E,CAAC,EAAE,QAAQ5H,EAAE,MAAM,CAAC,MAAMF,EAAE,QAAQ,CAAC,CAAC,EAAEwE,EAAE,KAAKsD,CAAC,EAAE,QAAQC,KAAKvD,EAAEtE,EAAE,8BAA8B6H,CAAC,EAAE,OAAOR,CAAC,CAAC,SAASghF,GAAIzoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAE,GAAGD,EAAE,eAAe,GAAGA,EAAE,cAAc,GAAGA,EAAE,iBAAiB,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,eAAe,GAAGA,EAAE,cAAc,IAAIA,EAAE,QAAQ,OAAO,QAAQA,EAAE,QAAQ,OAAO,SAASC,EAAE0lF,GAAG,CAAC,EAAEloF,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ1C,CAAC,CAAC,UAAU0C,EAAE,aAAa,GAAGD,IAAI,gBAAgB/Q,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIoS,EAAE,IAAIokF,GAAGxlF,CAAC,EAAE,EAAE,CAAC,CAACA,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAEC,EAAE3C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAE,CAAC,EAAE,UAAU,CAAC,CAAC,SAASzO,EAAE,EAAE,QAAQ,mBAAmB,EAAEiR,EAAE2lF,GAAG,CAAC,EAAEnoF,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ1C,CAAC,CAAC,MAAM,CAAC,IAAI8D,EAAE,IAAIkkF,GAAGtlF,CAAC,EAAEC,EAAE3C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIyC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM0C,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,IAAI4lF,GAAG,CAAC,WAAWxmG,GAAG,YAAY,QAAQ,WAAWumG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY/nF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,aAAa,eAAe,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYzxIA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAOG;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oBAIlBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE8mF,GAAG,KAAK,CAAC,YAAYhoF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAa,eAAemB,EAAE7B,EAAE,EAAEU,EAAE,QAAQ,IAAIoB,EAAE,EAAE,EAAEpB,EAAE,QAAQ,KAAK,EAAEkB,EAAE,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC7OC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAcU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtBxC;AAAA,gDACgBG;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB2B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESA,EAAE;AAAA;AAAA,oBAElBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE+mF,GAAG,KAAK,CAAC,YAAYjoF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,QAAQ,MAAMkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrLA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAO2B;AAAA;AAAA,kCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOkB;AAAA;AAAA,oCAENlB,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAA,EAAE;AAAA,qCACHP,OAAO0B;AAAA;AAAA,sCAENnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEkoF,GAAG,KAAK,CAAC,YAAYloF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAE9B,EAAE,EAAEU,EAAE,QAAQ,MAAM,EAAE,EAAE,EAAEA,EAAE,QAAQ,IAAI8B,EAAErC,EAAE,EAAEO,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA,iCAC3OoB,MAAM,MAAMU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcbxC;AAAA,gDACgB2B;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESP;AAAA,oDACgB0B;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMbP;AAAA;AAAA,sCAESO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUnC,CAAC,EAAE,SAASmoF,GAAI/oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAEE,EAAE,IAAI8lF,GAAG/lF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI2oF,GAAG,CAAC,WAAW7mG,GAAG,YAAY,QAAQ,WAAW4mG,EAAG,EAAE,SAASE,GAAIjpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBiU,CAAC,EAAEW,EAAE5U,EAAE,kBAAkB,EAAE,EAAE,MAAM+T,EAAE,EAAEC,EAAEU,EAAE,GAAGC,CAAC,EAAEE,EAAE,IAAI+lF,GAAGhmF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI6oF,GAAG,CAAC,WAAW9mG,GAAG,YAAY,QAAQ,WAAW6mG,EAAG,EAAE,SAASE,GAAInpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAEW,EAAE,IAAIylF,GAAGlmF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI+oF,GAAG,CAAC,WAAW/mG,GAAG,YAAY,QAAQ,WAAW8mG,EAAG,EAAE,SAASE,GAAIrpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEW,EAAE,IAAImmF,GAAG5mF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIipF,GAAG,CAAC,WAAWhnG,GAAG,YAAY,QAAQ,WAAW+mG,EAAG,EAAE,SAASE,GAAIvpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBgU,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEW,EAAE,IAAIomF,GAAG7mF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAImpF,GAAG,CAAC,WAAWjnG,GAAG,YAAY,QAAQ,WAAWgnG,EAAG,EAAME,GAAI9J,GAAG;AAAA;AAAA,EAE74C+J,GAAI9J,GAAG,CAAC,UAAU6J,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWnnG,GAAG,YAAY,QAAQ,WAAWknG,EAAG,EAAME,GAAI;AAAA;AAAA;AAAA,EAGtFC,GAAIjK,GAAG,CAAC,UAAUgK,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWrnG,GAAG,YAAY,QAAQ,WAAWonG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYnpF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,CAAC8B,CAAC,EAAExC,EAAE,CAAC,EAAE0C,CAAC,EAAE,EAAE,KAAK,YAAY,CAACF,EAAE,EAAEE,EAAE,CAAC,EAAE,IAAIC,EAAExC,IAAI,WAAW,EAAE,EAAE,CAACyC,EAAEkB,CAAC,EAAE,CAAC,GAAGjC,EAAE,MAAM,GAAGC,EAAE,KAAK,EAAE,CAACiC,EAAEqD,EAAExC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI/C,EAAE,IAAI,EAAE,KAAK,yBAAyB,MAAMe,6BAA6B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE/B,EAAE,EAAE,CAAC,IAAIZ,EAAE,IAAIY,EAAE,KAAK,wBAAwB,MAAMoB,4BAA4B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,KAAK,SAAS;AAAA,yCAC1gBC;AAAA,wCACDQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP3C;AAAA;AAAA;AAAA;AAAA,+BAIFwF;AAAA,8BACD5C;AAAA;AAAA,uBAEPI;AAAA,mCACYhC;AAAA,4BACPjB;AAAA;AAAA;AAAA,uBAGL8C;AAAA,mCACYX;AAAA,4BACPnC;AAAA;AAAA;AAAA;AAAA;AAAA,aAKfgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAwBR,CAAC,EAAMmnF,GAAIhqF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE,IAAIqnF,GAAG1pF,EAAE,MAAM,EAAE,MAAM0B,EAAEC,EAAEC,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,EAAE4pF,GAAG,CAAC,WAAWvnG,GAAG,YAAY,QAAQ,WAAWsnG,EAAG,EAAME,IAAI,SAASlqF,EAAE,CAACA,EAAE,KAAK,IAAIA,EAAE,IAAI,GAAG,GAAGkqF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,YAAYvpF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,GAAGO,EAAE,KAAK,YAAYV,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAI2B,EAAE,KAAK,YAAY,OAAOC,EAAE,KAAK,KAAKooF,GAAG,KAAK,MAAM,MAAMnoF,EAAE,EAAED,EAAE,QAAQsoF,GAAGvoF,EAAE,SAAS,KAAK,EAAE,KAAKG,EAAE,KAAK,YAAY,KAAK,YAAY,OAAO,GAAG,EAAE,GAAGU,EAAE,GAAG,GAAG,EAAErC,EAAE,UAAU2B,EAAE,IAAI,WAAWU,EAAErC,EAAE,UAAU,YAAY,EAAEA,EAAE,gBAAgB2B,IAAI,cAAcU,EAAErC,EAAE,aAAa,cAAc,KAAK,SAAS;AAAA;AAAA,UAE1uB42E,GAAGp1E,CAAC;AAAA,oBACMwoF,GAAGxoF,EAAE,SAAS,KAAK,EAAE;AAAA,sBACnBE;AAAA;AAAA,cAER;AAAA,sBACQW;AAAA,YACV2nF,GAAGxoF,EAAE,SAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAYuoF,GAAGvoF,EAAE,SAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA,KAIjD,CAAC,EAAE,SAASuoF,GAAGpqF,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,QAAQ,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASqqF,GAAGrqF,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASsqF,GAAGtqF,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,OAAO0B,EAAE/T,EAAE,mBAAmB,CAACoS,CAAC,EAAE,CAAC,EAAE4B,EAAE,EAAED,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjhF,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,GAAG,IAAIE,EAAEjU,EAAE,iBAAiB,EAAE,CAAC,EAAE,GAAG,GAAGiU,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,OAAO,kBAAkB7B,GAAG,EAAE,IAAIsC,EAAEV,EAAE,MAAMC,GAAGU,EAAEo8E,GAAG,CAAC,OAAO,CAAC,EAAE/8E,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,GAAG,KAAK,KAAK,KAAK,KAAKF,CAAC,CAAC,EAAE,EAAEE,IAAI,CAAC,IAAIC,EAAE,IAAIsnF,GAAGnqF,EAAEgC,EAAE,MAAM,GAAG,CAAC,EAAEc,EAAE,CAAC,CAACF,CAAC,CAAC,EAAEoB,EAAErB,EAAEA,EAAEzC,EAAE,gBAAgB2C,EAAE,CAACF,CAAC,EAAEA,EAAE,MAAMG,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,CAAC,CAAC,GAAG3D,EAAE,CAAC,IAAIuC,EAAE,IAAIunF,GAAGnqF,EAAEgC,EAAE,MAAM3B,EAAE,CAAC,EAAEwC,EAAEF,EAAEA,EAAEzC,EAAE,gBAAgB0C,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,EAAEzC,EAAE,8BAA8B2C,CAAC,CAAC,CAAC,GAAGd,GAAG,KAAK,CAAC,IAAIa,EAAE5U,EAAE,uBAAuB+T,CAAC,EAAEc,EAAEs+E,GAAG,CAAC,OAAO,CAAC,EAAEx+E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B8B,CAAC,EAAEa,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS4nF,GAAIvqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOkqF,GAAGJ,GAAG,KAAK7pF,EAAEH,EAAE,EAAE,EAAE6B,CAAC,CAAC,CAAC,IAAIyoF,GAAG,CAAC,WAAW7nG,GAAG,YAAY,QAAQ,WAAW4nG,EAAG,EAAE,SAASE,GAAIzqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOkqF,GAAGJ,GAAG,IAAI7pF,EAAEH,EAAE,EAAE,EAAE6B,CAAC,CAAC,CAAC,IAAI2oF,GAAG,CAAC,WAAW9nG,GAAG,YAAY,QAAQ,WAAW6nG,EAAG,EAAE,SAASE,GAAI3qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE4B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEwC,EAAE62E,GAAGv3E,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO/B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMwC,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,WAAWG,CAAC,EAAE4B,EAAE/B,EAAE,WAAW,CAAC,EAAEwC,EAAE82E,GAAGx3E,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO7B,EAAE,eAAewC,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAIuqF,GAAG,CAAC,WAAW7nG,GAAG,YAAY,QAAQ,WAAW4nG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYjqF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,UAAUV,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,gBAIvqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA,GAGhD,CAAC,sBAAsB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,oBAAoB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,YAAY,EAAE,CAAC,wBAAwB,CAAC,OAAO,KAAK,aAAa,OAAO,4BAA4B,2BAA2B,CAAC,EAAE,SAAS4qF,GAAI9qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,IAAI6mF,GAAG/nF,EAAE,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB8D,EAAE,CAAC3D,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI0qF,GAAG,CAAC,WAAW/nG,GAAG,YAAY,QAAQ,WAAW8nG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYpqF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,EAAE,GAAG8B,EAAE,GAAG,IAAIrC,EAAE,EAAE;AAAA;AAAA,YAEzqC;AAAA,WACDwB,EAAE,EAAE;AAAA;AAAA,YAEH;AAAA,WACD,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJa,EAAE,gCAAgC,IAAI,EAAExC,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBG;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASIF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACAW;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMuoF,GAAG,KAAK,CAAC,YAAYrqF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,YAAYA,EAAE,WAAWmB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,cAAc8B,EAAE9B,EAAE,aAAa,EAAEA,EAAE,YAAYgC,EAAE,EAAEC,EAAE;AAAA;AAAA,+CAE1a,QAAQyE,EAAE,EAAEA,EAAE,EAAEA,IAAIzE,GAAG;AAAA,wBAC9CyE,EAAE;AAAA,uBACHA,EAAE;AAAA,wBACDA,EAAE,EAAE;AAAA,uBACLA,EAAE,EAAE;AAAA,mBACRA,KAAKzE,GAAG;AAAA,0BACDH;AAAA,QAClB,QAAQ4E,EAAE,EAAEA,EAAE,EAAEA,IAAIzE,GAAG;AAAA,mBACZyE,EAAE;AAAA,mBACFA,EAAE;AAAA,mBACFA,EAAE,EAAE;AAAA,mBACJA,EAAE,EAAE;AAAA,cACTA,iBAAiBzE,GAAG;AAAA;AAAA;AAAA,QAG1B,QAAQyE,EAAE,EAAEA,GAAG1E,EAAE,GAAG,EAAE0E,IAAI,CAAC,IAAIxC,EAAEwC,EAAE,EAAE,GAAGzE,GAAG;AAAA,4BACvBiC,EAAE;AAAA,YAClB9C,IAAI,GAAG,GAAG8C,EAAE,IAAI/C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAE8BiC;AAAA,2BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKEA;AAAA;AAAA,2BAEFA;AAAA;AAAA,gBAEX,IAAI,GAAGA,EAAE,EAAEjC,GAAG;AAAA,oBACViC,mBAAmBA,EAAE,gBAAgBA;AAAA,kBACvCjC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYGiC,gCAAgCA;AAAA;AAAA,wBAEhCA,6BAA6BA;AAAA;AAAA,qBAEhCjC,GAAG;AAAA,0DACkCiC;AAAA,2BAC/BA;AAAA;AAAA,6BAEEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA,oBAGPA,cAAcA;AAAA,kBAChBA,EAAE,EAAE,GAAG,CAAC,IAAIL,EAAE1C,EAAE,IAAI,EAAEvD,EAAE,kBAAkB,CAAC,EAAE,EAAE,EAAE,IAAI,GAAGuD,EAAE,IAAI,GAAG,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGc,GAAG;AAAA,uDACjD4B;AAAA;AAAA,wEAEiBK,EAAE;AAAA,6BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKAA,EAAE;AAAA;AAAA,6BAEJA,EAAE;AAAA;AAAA,oBAEX,EAAE,EAAEjC,GAAG;AAAA;AAAA;AAAA;AAAA,yBAIFiC,EAAE,gCAAgCA,EAAE;AAAA;AAAA,yBAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,sBAEpCjC,GAAG;AAAA,wBACDiC,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,uBACxCL,IAAI,EAAE5B,GAAG;AAAA,wBACRiC,EAAE,cAAcA;AAAA,sBAClBjC,GAAG;AAAA,sCACa4B;AAAA;AAAA,0EAEoCK,EAAE;AAAA,+BAC7CA,EAAE;AAAA;AAAA,iCAEAA,EAAE;AAAA;AAAA,+BAEJA,EAAE;AAAA;AAAA;AAAA,wBAGTA,EAAE,cAAcA,EAAE;AAAA,qBACrB,OAAOA,EAAE,IAAI/C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,qEAEuBiC;AAAA,2BAC1CA;AAAA;AAAA;AAAA;AAAA,6BAIEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA,iEAGsCA,EAAE;AAAA,2BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,6BAIAA,EAAE;AAAA;AAAA,2BAEJA,EAAE;AAAA;AAAA;AAAA,oBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,gBACzCA,EAAE,EAAE,IAAIjC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAMLiC,EAAE,mBAAmBA,EAAE;AAAA,qBACxBjC,GAAG;AAAA,yDACiCiC;AAAA,2BAC9BA;AAAA;AAAA,6BAEEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA;AAAA,qEAI0CA,EAAE;AAAA,2BAC5CA,EAAE;AAAA;AAAA,6BAEAA,EAAE;AAAA;AAAA,2BAEJA,EAAE;AAAA;AAAA;AAAA,oBAGTA;AAAA,2BACOA,gBAAgBA,EAAE;AAAA,gBAC7BA,EAAE,EAAE,IAAIjC,GAAG;AAAA,sBACLiC,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,qBACxCA,EAAE,IAAIjC,GAAG;AAAA,+BACCiC;AAAA,2BACJA;AAAA,YACfA,EAAE,EAAE,IAAIjC,GAAG;AAAA,iCACUiC,EAAE;AAAA,6BACNA,EAAE;AAAA,eAChB,CAACjC,GAAG;AAAA;AAAA,IAEfA,GAAG;AAAA;AAAA,MAED,IAAIC,EAAE,GAAGkB,EAAE,GAAG,IAAI3D,EAAEyC,EAAE;AAAA;AAAA,YAEhB;AAAA,WACDjB,EAAEiB,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA,YACD;AAAA,WACDkB,EAAE,gCAAgC,IAAIC,EAAE/D,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACrOiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBhB;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlBe;AAAA;AAAA;AAAA,UAGAoB;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAASknF,GAAIlrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAEV,EAAEU,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGlE,EAAE,OAAOxQ,EAAE,+BAA+B,EAAE0U,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAEqC,EAAEX,EAAEE,EAAE,EAAE,EAAEW,EAAEhR,EAAE,EAAE,QAAQ,0BAA0B,GAAG+Q,EAAE,aAAa,GAAGA,EAAE,YAAYA,EAAE,aAAa,EAAEC,EAAE,IAAIqoF,GAAGtoF,CAAC,EAAEC,EAAE,IAAIooF,GAAGroF,CAAC,EAAE,IAAIE,EAAE,CAAC,CAACF,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,UAAUwC,CAAC,CAAC,CAAC,IAAIsoF,GAAG,CAAC,WAAWloG,GAAG,YAAY,QAAQ,WAAWioG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYxqF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOr3BkB;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKMlB,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAOG;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYjC,CAAC,EAAEyqF,GAAG,KAAK,CAAC,YAAYzqF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAE5B,EAAE,EAAEU,EAAE,QAAQ,IAAImB,EAAE,EAAE,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA,iCAClNkB,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYP7B;AAAA,gDACgBG;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB2B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGSoB;AAAA,8BACNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASzB,CAAC,EAAE,SAASspF,GAAItrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIwoF,GAAGzoF,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIkrF,GAAG,CAAC,WAAWroG,GAAG,YAAY,QAAQ,WAAWooG,EAAG,EAAE,SAASE,GAAIxrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIyoF,GAAG1oF,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIorF,GAAG,CAAC,WAAWtoG,GAAG,YAAY,QAAQ,WAAWqoG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9qF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAACA,EAAEA,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAM3pB,CAAC,EAAE,SAAS+qF,GAAI3rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGD,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,EAAE5B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAElgF,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE6B,EAAE,IAAI2pF,GAAG,CAAC,EAAE1pF,EAAE9B,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAMG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI2pF,IAAG,CAAC,WAAWxoG,GAAG,YAAY,QAAQ,WAAWuoG,EAAG,EAAME,IAAG,KAAK,CAAC,YAAYjrF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,GAAG,CAAC,SAASV,EAAE,QAAQ,EAAE,QAAQG,EAAE,aAAawB,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe,EAAE,cAAcU,CAAC,EAAE9B,EAAE,CAAC,IAAI,EAAE,KAAKgC,CAAC,EAAEvC,EAAE,KAAK,SAAS;AAAA,oCACxlBwB,MAAMC;AAAA,iCACT,MAAMc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaTb;AAAA,iCACG;AAAA;AAAA,kCAEC7B;AAAA,kCACA8B;AAAA,qCACGU;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgBjC,CAAC,EAAE,SAASopF,IAAI9rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,sBAAsBqS,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAEU,EAAEC,EAAE,IAAIkpF,IAAG5pF,CAAC,EAAES,EAAExC,EAAE,gBAAgByC,EAAE,CAACtC,EAAE,CAAC,EAAE,SAAS,EAAE,IAAIuC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAM+B,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO/B,EAAE,8BAA8BwC,CAAC,EAAEE,CAAC,CAAC,IAAImpF,IAAG,CAAC,WAAW1oG,GAAG,YAAY,QAAQ,WAAWyoG,GAAG,EAAE,SAASE,IAAIhsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,SAASK,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEhU,EAAE,qBAAqBqS,EAAE,EAAE,MAAM,EAAErS,EAAE,oBAAoB,EAAE,OAAOgU,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE1U,EAAE,qBAAqB+T,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,GAAG,CAAC,GAAG,CAAC,mBAAmBsD,EAAE,WAAW,CAAC,EAAEtZ,EAAE,qBAAqB6U,EAAEb,EAAE,EAAE,EAAEyC,EAAEzW,EAAE,sBAAsBsZ,CAAC,EAAE7C,EAAE,EAAE,IAAIA,EAAE08E,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQjhF,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAExE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAED,EAAE,OAAO,EAAEC,GAAG,EAAE,CAAC,EAAEnG,EAAE,YAAYiG,EAAE,MAAMC,CAAC,IAAID,EAAE67E,GAAG,CAAC,OAAO,CAAC77E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEu9E,GAAG,CAAC,OAAO,CAAC,EAAE17E,EAAE,EAAE7B,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,IAAI,IAAIpB,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,KAAK+B,EAAE+B,IAAI,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG1C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIqpF,IAAG,CAAC,WAAWvoG,GAAG,YAAY,QAAQ,WAAWsoG,GAAG,EAAME,IAAI,0CAA0CC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1zCC,IAAIxM,GAAG,CAAC,UAAUsM,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1oG,GAAG,YAAY,QAAQ,WAAWyoG,GAAG,EAAME,IAAI,yCAAyCC,IAAI;AAAA;AAAA;AAAA,EAGvJC,IAAIxsF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,EAAEC,CAAC,EAAE,EAAE,EAAEzO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGyN,IAAInsF,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIu+E,GAAG0N,IAAIlsF,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEqsF,IAAG,CAAC,WAAW7oG,GAAG,YAAY,QAAQ,WAAW4oG,GAAG,EAAME,IAAI;AAAA;AAAA,EAE9PC,IAAI,wBAAwBC,IAAI/M,GAAG,CAAC,UAAU8M,IAAI,gBAAgBD,IAAI,MAAM,OAAO,cAAc9S,EAAE,CAAC,EAAEiT,IAAG,CAAC,WAAW/oG,GAAG,YAAY,QAAQ,WAAW8oG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA,cAIxJ9+F,EAAE;AAAA,eACDA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMf++F,IAAInN,GAAG,CAAC,UAAUkN,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWjpG,GAAG,YAAY,QAAQ,WAAWgpG,GAAG,EAAME,IAAItN,GAAG;AAAA;AAAA,EAEzFuN,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJC,GAAGvN,GAAG,CAAC,UAAUqN,IAAI,gBAAgBC,IAAI,cAAcrT,GAAG,MAAM,SAAS,CAAC,EAAEuT,IAAG,CAAC,WAAWppG,GAAG,YAAY,QAAQ,WAAWmpG,EAAE,EAAE,SAASE,GAAGrtF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,IAAIK,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,OAAO6B,EAAE,EAAE,MAAM,MAAM,EAAEC,EAAE3B,EAAE,OAAOA,EAAE,IAAI7B,EAAE,OAAO,EAAE,EAAE,IAAI6B,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE2B,EAAE,EAAE3B,EAAE,GAAG0B,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEs+E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIurF,IAAG,CAAC,WAAWrpG,GAAG,YAAY,QAAQ,WAAWopG,EAAE,EAAME,GAAG,uBAAuBC,IAAI5N,GAAG,CAAC,UAAU2N,GAAG,gBAAgBA,GAAG,cAAczT,EAAE,CAAC,EAAE2T,IAAG,CAAC,WAAWvpG,GAAG,YAAY,QAAQ,WAAWspG,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY9sF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,IAAIG,EAAEH,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI2B,EAAE,EAAE,SAAS,KAAK,KAAK,UAAU,KAAK,KAAKC,EAAE,EAAE,GAAGzB,MAAM,MAAM0B,EAAE,GAAGnB,IAAI,OAAOmB,EAAE,4CAA4CnB,IAAI,OAAOmB,EAAE,wCAAyC,OAAM,IAAI,MAAM,sDAAsDnB,IAAI,EAAE,KAAK,SAAS;AAAA,yCAC75BiB;AAAA;AAAA;AAAA,UAG/BE;AAAA;AAAA;AAAA;AAAA,kDAIwC1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2ByB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUpD,CAAC,EAAE,SAAS6rF,GAAG3tF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,IAAIF,EAAE,MAAM,EAAEK,EAAE7B,EAAE,cAAcwB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,GAAG,EAAEK,EAAE,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAED,EAAE,MAAME,EAAE,IAAIyrF,GAAG,OAAO1rF,EAAE,CAAC,EAAEU,EAAE,IAAIgrF,GAAG,OAAO1rF,EAAE,CAAC,EAAEW,EAAE,CAAC,CAAC,OAAOvC,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,EAAE,CAAC,OAAO5B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,CAAC,EAAEY,EAAE1C,EAAE,gBAAgB+B,EAAEU,EAAE,SAAS,EAAEE,EAAE3C,EAAE,gBAAgBwC,EAAEC,EAAE,SAAS,EAAEG,EAAEm8E,GAAG,CAAC,OAAO,CAAC,KAAKr8E,EAAE,KAAKC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAEA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE,IAAImB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAEx9E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMF,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOE,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,SAAS4pF,IAAI5tF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAE,OAAOutF,GAAGvtF,EAAE,GAAGF,CAAC,CAAC,CAAC,IAAI2tF,IAAG,CAAC,WAAW1pG,GAAG,YAAY,QAAQ,WAAWypG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYltF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYU,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,KAKz+B,CAAC,EAAE,SAASmtF,GAAG/tF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,MAAMC,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAEA,EAAE,GAAG,EAAE,GAAG1B,EAAE,WAAW6B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,EAAEA,EAAE,cAAc4B,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKC,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,IAAI0tF,IAAG1tF,EAAEC,CAAC,EAAE0B,EAAE,CAAC,CAAC1B,CAAC,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAIisF,IAAG,CAAC,WAAW5pG,GAAG,YAAY,QAAQ,WAAW2pG,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYrtF,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIV,EAAEU,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aV;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOlC,CAAC,EAAMguF,IAAG,CAAC,WAAW7pG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO2b,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEF,EAAEI,EAAE,EAAEC,EAAE,IAAI4tF,IAAG/tF,EAAE,KAAK,EAAE,OAAOE,EAAE,gBAAgBC,EAAE,CAACH,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,EAAMiuF,GAAG,mBAAmBC,IAAIxO,GAAG,CAAC,UAAUuO,GAAG,gBAAgBA,GAAG,cAAcpU,EAAE,CAAC,EAAEsU,IAAG,CAAC,WAAW/pG,GAAG,YAAY,QAAQ,WAAW8pG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUtTC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqBJC,IAAI3O,GAAG,CAAC,UAAUyO,IAAI,gBAAgBC,IAAI,MAAM,OAAO,CAAC,EAAEE,IAAG,CAAC,WAAWlqG,GAAG,YAAY,QAAQ,WAAWiqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY9tF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAIV,EAAE0zE,GAAG,EAAE,CAAC,EAAEvzE,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMpKP,QAAQ;AAAA;AAAA,wBAEvCH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrB,CAAC,EAAMyuF,IAAG,KAAK,CAAC,YAAY/tF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIV,EAAE0zE,GAAG,EAAE,CAAC,EAAEvzE,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7HP,QAAQ;AAAA,4BACVH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,EAAE;AAAA;AAAA,KAEP,CAAC,EAAM0uF,IAAG,CAAC,WAAWpqG,GAAG,YAAY,QAAQ,WAAWqqG,GAAG,EAAEC,GAAGC,GAAGn9F,EAAE,EAAE,QAAQ,uCAAuC,EAAE,SAASi9F,IAAI7uF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE,EAAE,OAAO,kBAAkB,aAAaC,aAAa,iBAAiB0B,EAAE,OAAO,kBAAkB,aAAa1B,aAAa,iBAAiB,CAAC2B,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAEqC,EAAE,CAACT,EAAED,CAAC,EAAEW,EAAE,CAACV,EAAED,EAAE,CAAC,EAAE,GAAGD,GAAG,EAAE,CAAC,IAAIiC,EAAEpS,EAAE,EAAE,QAAQ,uCAAuC,GAAGk9F,IAAI,MAAM9qF,IAAI+qF,MAAMA,GAAG/qF,EAAE8qF,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmBC,EAAE,CAAC,GAAGD,GAAG,OAAO,MAAM9sF,EAAE8sF,GAAG,OAAO,OAAO7sF,EAAE6sF,GAAG,UAAUzuF,EAAE,EAAE,EAAE2B,EAAEC,CAAC,EAAE5B,EAAEyuF,GAAG,MAAM,CAAC,IAAIlsF,EAAE1C,EAAE,eAAewC,EAAE,OAAO,EAAExC,EAAE,QAAQ,IAAI0C,EAAE,MAAM,EAAE,MAAM4vE,GAAG,OAAOtyE,EAAE,MAAM,yBAAyBA,EAAE,WAAW0C,EAAE,MAAM,EAAEvC,CAAC,EAAE,IAAIwC,EAAEjR,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI+8F,IAAGhsF,CAAC,EAAE,IAAI+rF,IAAG/rF,CAAC,EAAEG,EAAE5C,EAAE,gBAAgB2C,EAAE,CAACD,CAAC,EAAE,OAAO,EAAE,OAAO1C,EAAE,YAAY0C,EAAE,MAAM,EAAEE,CAAC,CAAC,SAASksF,IAAIhvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEhW,EAAE,wBAAwB0U,CAAC,EAAE,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEW,EAAEV,EAAEW,EAAE,GAAGoB,CAAC,EAAEsD,EAAE,EAAE,CAAC,EAAE7C,EAAE,GAAG,KAAKC,EAAE3C,GAAG,KAAK4C,EAAE9B,IAAI,YAAY+B,EAAE,IAAI,CAAC,IAAIG,EAAE,CAAC1E,EAAE,CAAC,EAAEkH,EAAE,CAACvC,EAAEC,IAAI,CAAC,GAAGA,IAAI,QAAQD,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,KAAK,EAAE,CAAC,IAAIE,EAAEo7E,GAAG,CAAC,OAAO,CAAC,EAAEt7E,CAAC,EAAE,QAAQ9E,EAAE,MAAM,CAAC,MAAM,CAAC8E,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKE,CAAC,EAAEA,CAAC,CAAC,OAAOF,CAAC,EAAE,GAAGP,GAAGM,EAAE,KAAKwC,EAAE,EAAE7E,CAAC,CAAC,EAAEgC,GAAGK,EAAE,KAAKwC,EAAExF,EAAEW,CAAC,CAAC,EAAEiC,EAAE,CAAC,IAAIK,EAAE9E,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkBsE,EAAE,SAAS,CAAC,EAAEiC,EAAE,KAAKC,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAOD,CAAC,EAAE,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,GAAG,EAAE,iBAAiB,GAAG,EAAE,gBAAgB,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,IAAI,EAAE,QAAQ,OAAO,QAAQ,EAAE,QAAQ,OAAO,SAASuC,EAAEihF,GAAG,CAAC,EAAEloF,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQH,EAAE,KAAK,EAAE,WAAW2C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,UAAU,EAAE,aAAa,GAAGkB,IAAI,gBAAgBpS,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAImT,EAAElC,EAAEi9E,GAAGj9E,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI6gF,GAAG,EAAE3jF,EAAEM,EAAEL,EAAEC,CAAC,EAAEK,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEC,EAAEL,EAAE,EAAE0C,EAAEpH,EAAE,gBAAgBqH,EAAEtC,EAAE,UAAUD,CAAC,CAAC,SAASpT,EAAE,EAAE,QAAQ,mBAAmB,EAAE0V,EAAEkhF,GAAG,CAAC,EAAEnoF,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQH,EAAE,KAAK,EAAE,WAAW2C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,MAAM,CAAC,IAAIiC,EAAElC,EAAEi9E,GAAGj9E,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI2gF,GAAG,EAAEzjF,EAAEM,EAAEL,EAAEC,CAAC,EAAEK,EAAEJ,EAAE,EAAE0C,EAAEpH,EAAE,gBAAgBqH,EAAEvC,EAAE,SAAS,CAAC,CAAC,IAAIH,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKoH,CAAC,EAAE,EAAE,QAAQvC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEF,CAAC,CAAC,IAAIoqF,IAAG,CAAC,WAAWvqG,GAAG,YAAY,QAAQ,WAAWsqG,GAAG,EAAE,SAASE,IAAIlvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAEzC,EAAE0C,EAAE,CAAC,EAAEkB,EAAEtB,EAAEsB,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGxF,EAAE,OAAOxQ,EAAE,+BAA+BgU,EAAEgC,CAAC,EAAE,IAAI,gFAAgFhC,oBAAoBgC,IAAI,EAAE,IAAI,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEgC,EAAE/B,EAAEU,EAAE,EAAE,EAAE2E,EAAE1V,EAAE,EAAE,QAAQ,0BAA0B,GAAG,EAAE,aAAa,GAAG,EAAE,YAAY,EAAE,aAAa,EAAE,EAAEgR,EAAEk9E,GAAGl9E,EAAE0E,CAAC,EAAE,KAAK7C,EAAE,CAACpE,EAAE,CAAC,EAAEqE,EAAE,GAAG,KAAKC,EAAE5C,GAAG,KAAK6C,EAAEhC,IAAI,YAAY,GAAG8B,GAAGD,EAAE,KAAK,CAAC,EAAEE,GAAGF,EAAE,KAAK1C,CAAC,EAAE6C,EAAE,CAAC,IAAII,EAAE9E,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkBqE,EAAE,SAAS,CAAC,EAAE4B,EAAE,KAAKO,CAAC,EAAElC,EAAE,KAAKkC,CAAC,CAAC,CAAC,IAAIH,EAAEyC,EAAEzC,EAAE,IAAIomF,GAAG,EAAEvmF,EAAE,EAAEC,EAAEC,CAAC,EAAEC,EAAE,IAAImmF,GAAG,EAAEtmF,EAAE,EAAEC,EAAEC,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEwC,EAAErH,EAAE,gBAAgB2E,EAAEJ,EAAE,UAAUM,CAAC,EAAE,OAAOjC,EAAE,QAAQkC,GAAG9E,EAAE,8BAA8B8E,CAAC,CAAC,EAAEuC,CAAC,CAAC,IAAI4nF,IAAG,CAAC,WAAWxqG,GAAG,YAAY,QAAQ,WAAWuqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYxuF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,SAASO,EAAE,KAAK,QAAQV,EAAE,KAAK,YAAYG,EAAE,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAY,EAAE,IAAIwB,EAAEo1E,GAAG,EAAE,MAAM,EAAEn1E,EAAE;AAAA,gBACznH,QAAQC,EAAE,EAAEA,EAAE,KAAK,SAASA,IAAID,GAAG;AAAA,gDACHC;AAAA;AAAA,sDAEM,KAAK,YAAYA;AAAA,oCACnC,KAAK,QAAQA,MAAM,KAAK,SAAS;AAAA;AAAA,YAEzDF;AAAA;AAAA;AAAA;AAAA,YAIAC;AAAA;AAAA;AAAA;AAAA,OAIL,CAAC,EAAE,SAASutF,IAAIrvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,GAAG0B,EAAEvD,EAAE,cAAc4B,EAAE,KAAK,EAAE,CAAC4B,EAAEC,EAAES,EAAEC,CAAC,EAAE3U,EAAE,mBAAmBoS,EAAEC,CAAC,EAAEuC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAElgF,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC1B,EAAE,cAAc4B,EAAE,KAAK,EAAEsC,EAAEA,CAAC,CAAC,CAAC,CAAC,EAAE,GAAGxC,EAAE,mBAAmB,CAACE,EAAEC,CAAC,CAAC,GAAGD,EAAE,QAAQ,SAAS,CAAC,IAAIkH,EAAEpH,EAAE,SAASG,EAAE,MAAM,EAAE,EAAEH,EAAE,WAAWE,CAAC,EAAEqE,EAAEu1E,GAAG1yE,EAAE,EAAElH,EAAE,MAAM6B,EAAE,EAAES,EAAEC,EAAEvC,EAAE,MAAM2B,CAAC,EAAE,OAAO7B,EAAE,eAAe8B,EAAE5B,EAAE,MAAMqE,EAAE,MAAM,CAAC,CAAC,IAAI3B,EAAE,IAAIssF,IAAG,EAAEzsF,EAAE,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAE4D,EAAE9D,EAAE,gBAAgB4C,EAAE,CAACD,EAAED,CAAC,EAAEC,EAAE,KAAK,EAAE,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIsrF,IAAG,CAAC,WAAWzqG,GAAG,YAAY,QAAQ,WAAWwqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY3uF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAI,EAAE+2E,GAAG,KAAK,IAAI,EAAE52E,EAAEmvF,IAAI5uF,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE93B;AAAA;AAAA,oDAE0CA,EAAE;AAAA,oCAClBP;AAAA;AAAA,KAE/B,CAAC,EAAE,SAASmvF,IAAIxvF,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAIA,IAAI,EAAED,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,GAAGF,EAAEG,IAAI,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAASqvF,GAAGzvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE4B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG,GAAGzO,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,IAAI,EAAEsO,EAAE,SAAS,EAAE,MAAM,EAAEuE,EAAEpE,EAAE,MAAM2B,GAAG,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,GAAGlG,EAAE,OAAOmG,GAAGF,EAAE,GAAGE,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBF,EAAE,IAAI,CAAC,CAAC,CAAC,IAAIxC,EAAEjU,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAED,CAAC,EAAEW,EAAElE,EAAE,cAAc,EAAE,KAAK,EAAEmE,EAAE,CAAC,EAAEC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,UAAUS,EAAET,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAE,CAACb,EAAE,UAAUA,EAAE,UAAUS,EAAET,EAAE,UAAUA,EAAE,SAAS,EAAE,GAAG/B,EAAE,mBAAmB,CAACG,EAAE,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEH,EAAE,WAAW2C,CAAC,EAAE4B,EAAEvE,EAAE,WAAW0C,CAAC,EAAE8B,EAAEu1E,GAAGx1E,EAAE,EAAE3B,CAAC,EAAE,OAAOH,EAAE,QAAQgC,GAAGzE,EAAE,8BAA8ByE,CAAC,CAAC,EAAEzE,EAAE,eAAe+B,EAAE,YAAYyC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIV,EAAE,IAAIurF,IAAG3sF,EAAE,MAAME,CAAC,EAAE,EAAE5C,EAAE,gBAAgB8D,EAAE,CAACpB,EAAEC,CAAC,EAAED,EAAE,KAAK,EAAED,EAAE,KAAK,CAAC,EAAE,IAAI2E,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM+B,EAAE,WAAW,CAAC,CAAC,EAAE,OAAOU,EAAE,QAAQ,GAAGzC,EAAE,8BAA8B,CAAC,CAAC,EAAEoH,CAAC,CAAC,IAAIooF,IAAG,CAAC,WAAW5qG,GAAG,YAAY,QAAQ,WAAW2qG,EAAE,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1wCC,IAAIhQ,GAAG,CAAC,UAAU8P,IAAI,gBAAgBC,IAAI,cAAc1V,GAAG,MAAM,MAAM,CAAC,EAAE4V,IAAG,CAAC,WAAW9qG,GAAG,YAAY,QAAQ,WAAW6qG,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIpQ,GAAG,CAAC,UAAUkQ,IAAI,gBAAgBC,IAAI,MAAM,OAAO,cAAc7V,EAAE,CAAC,EAAE+V,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAE,SAASE,IAAInwF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAE,OAAOutF,GAAGvtF,EAAE,GAAGF,CAAC,CAAC,CAAC,IAAIkwF,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAME,IAAI,wCAAwCC,IAAI1Q,GAAG,CAAC,UAAUyQ,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWhrG,GAAG,YAAY,QAAQ,WAAW+qG,GAAG,EAAME,IAAI,0BAA0BC,IAAI7Q,GAAG,CAAC,UAAU4Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWlrG,GAAG,YAAY,QAAQ,WAAWirG,GAAG,EAAME,IAAI,0BAA0BC,IAAIhR,GAAG,CAAC,UAAU+Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWprG,GAAG,YAAY,QAAQ,WAAWmrG,GAAG,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1qBC,IAAInR,GAAG,CAAC,UAAUiR,IAAI,gBAAgBC,IAAI,cAAc3W,GAAG,MAAM,MAAM,CAAC,EAAE6W,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIvR,GAAG,CAAC,UAAUqR,IAAI,gBAAgBC,IAAI,cAAc9W,GAAG,MAAM,MAAM,CAAC,EAAEgX,IAAG,CAAC,WAAWprG,GAAG,YAAY,QAAQ,WAAWmrG,GAAG,EAAE,SAASE,IAAItxF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEH,EAAE,EAAEo6E,GAAGl6E,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIkxF,IAAG,CAAC,WAAWrrG,GAAG,YAAY,QAAQ,WAAWorG,GAAG,EAAME,IAAI7R,GAAG;AAAA;AAAA,EAEnU8R,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,IAAI9R,GAAG,CAAC,UAAU4R,IAAI,gBAAgBC,IAAI,cAAclX,EAAE,CAAC,EAAEoX,IAAG,CAAC,WAAWxrG,GAAG,YAAY,QAAQ,WAAWurG,GAAG,EAAME,IAAIjS,GAAG;AAAA;AAAA,EAE9HkS,IAAIjS,GAAG,CAAC,UAAUgS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1rG,GAAG,YAAY,QAAQ,WAAWyrG,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA,EAIhIC,IAAIpS,GAAG,CAAC,UAAUkS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW5rG,GAAG,YAAY,QAAQ,WAAW2rG,GAAG,EAAME,IAAI,6BAA6BC,IAAIxS,GAAG,CAAC,UAAUuS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW9rG,GAAG,YAAY,QAAQ,WAAW6rG,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpRC,IAAI3S,GAAG,CAAC,UAAUyS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWjsG,GAAG,YAAY,QAAQ,WAAWgsG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY9xF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIC,EAAE5B,EAAE6B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAS3VC,WAAWA;AAAA;AAAA,oCAECC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKVC;AAAA;AAAA;AAAA,KAGrB,CAAC,EAAM2wF,IAAG,KAAK,CAAC,YAAY/xF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIC,EAAE5B,EAAE6B,EAAEnB,EAAE,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY;AAAA,gCACjB,KAAK,YAAY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAehBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWRA,WAAWA;AAAA;AAAA;AAAA,6DAGyBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnBC;AAAA;AAAA;AAAA,KAGrC,CAAC,EAAM4wF,IAAI5yF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE6B,EAAErQ,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAI+gG,IAAGtyF,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,IAAI0wF,IAAGryF,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB+B,EAAE,CAAC5B,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEwyF,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAWitG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYlyF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,aAAa,cAAc,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYjB,EAAE,KAAK,MAAMA,EAAE,GAAG,KAAK,YAAYV,EAAE,KAAK,KAAK,EAAE,KAAK,MAAMG,EAAE,KAAK,KAAKwB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQvd,KAAK;AAAA,oDACiB3B;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelBG,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOLA;AAAA,0BACfwB;AAAA;AAAA;AAAA;AAAA,0CAIgBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAMkxF,IAAI/yF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAEuC,EAAE,IAAImwF,IAAGzyF,EAAE,MAAM0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,EAAE,EAAE,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE2yF,IAAG,CAAC,WAAWptG,GAAG,YAAY,QAAQ,WAAWmtG,GAAG,EAAE,SAASE,IAAGjzF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,cAAc,CAAC,EAAEsD,EAAEtD,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE2+E,GAAG5+E,EAAE/B,EAAE,MAAM,MAAMI,CAAC,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,MAAM,CAAC,MAAM9B,CAAC,EAAE,QAAQE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,SAASkxF,GAAGlzF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE1C,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAEwC,EAAExC,EAAE,GAAGsC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI6B,EAAEvE,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM3C,CAAC,EAAE,QAAQ8C,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAGxE,EAAE,MAAMqC,EAAEmC,IAAI,IAAIF,EAAEw3E,GAAG13E,EAAEpE,EAAE,MAAMA,EAAE,MAAMqC,EAAEgC,CAAC,EAAE7B,EAAE3C,EAAE,eAAewE,EAAErE,EAAE,KAAK,EAAE,IAAIuE,EAAE1E,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAEk+E,GAAG1gF,EAAEqC,EAAExC,CAAC,EAAE+B,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,CAAC,CAAC/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACe,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0B6U,EAAE,MAAMZ,CAAC,EAAE,EAAEa,EAAE,IAAI,EAAE9U,EAAE,qBAAqB8U,EAAEd,CAAC,GAAG,IAAIsF,EAAE,GAAG1E,EAAE,CAAC,IAAI6B,EAAEvE,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAO6B,EAAE81E,GAAG/1E,EAAEjG,EAAE,cAAcwF,CAAC,EAAE,EAAE3D,EAAE,KAAK,EAAEiH,EAAEpH,EAAE,eAAe,EAAEG,EAAE,KAAK,EAAE,IAAIsE,EAAEzE,EAAE,QAAQ,IAAIoH,EAAE,MAAM,EAAE3C,EAAE,OAAOD,CAAC,MAAM4C,EAAE2rF,IAAGpwF,EAAEmB,EAAE,EAAE9D,CAAC,EAAE,OAAOyC,GAAGzC,EAAE,8BAA8B2C,CAAC,EAAEyE,CAAC,CAAC,IAAI6rF,IAAG,CAAC,WAAWvsG,GAAG,YAAY,QAAQ,WAAWssG,EAAE,EAAME,IAAIzU,GAAG;AAAA;AAAA,EAE33C0U,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFxU,GAAG;AAAA;AAAA,EAELyU,IAAIzT,GAAG,CAAC,UAAUuT,IAAI,gBAAgBC,IAAI,cAAc5Y,EAAE,CAAC,EAAE8Y,IAAG,CAAC,WAAWrsG,GAAG,YAAY,QAAQ,WAAWosG,GAAG,EAAE,SAASE,IAAIxzF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAEkvE,GAAGlvE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOq8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIyC,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIozF,IAAG,CAAC,WAAW5sG,GAAG,YAAY,QAAQ,WAAW2sG,GAAG,EAAE,SAASE,IAAI1zF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEE,EAAED,CAAC,EAAEY,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIszF,IAAG,CAAC,WAAW7sG,GAAG,YAAY,QAAQ,WAAW4sG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYhzF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,eAAeiB,EAAEjB,EAAE,sBAAsBkB,EAAElB,EAAE,qBAAqBmB,EAAEF,EAAE,EAAEjB,EAAE,QAAQ,IAAIoB,EAAEF,EAAE,EAAElB,EAAE,QAAQ,KAAK,EAAEiB,EAAEC,EAAE,EAAE,KAAK,SAAS;AAAA,iCACjrCC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcPH;AAAA,kBACdxB;AAAA,gDAC8BH;AAAA;AAAA,oCAEZU,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJkB;AAAA,kDACgB;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIKkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQhC,CAAC,EAAE+xF,IAAG,KAAK,CAAC,YAAYjzF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,qBAAqB,EAAEA,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB,EAAEoB,EAAE,EAAEpB,EAAE,QAAQ,MAAMgC,EAAE,EAAE,EAAEhC,EAAE,QAAQ,IAAIiC,EAAEH,EAAE,EAAE9B,EAAE,QAAQ,KAAKkC,EAAEd,EAAE,EAAEU,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC5U,MAAME,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBbb;AAAA,mBACbH;AAAA,gDAC6B3B;AAAA;AAAA,oCAEZU,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZkB;AAAA,kDAC4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ8B;AAAA,wBACZX;AAAA,oDAC4B1B;AAAA;AAAA,wCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAORkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAOJ;AAAA,yBACPA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASpB,CAAC,EAAE,SAASoxF,IAAI9zF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE5U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAI0hF,GAAG3hF,EAAE,MAAM,EAAE,EAAEE,EAAE5C,EAAE,gBAAgB2C,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEmB,EAAE,IAAI6vF,IAAGjxF,CAAC,EAAE,EAAE1C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAEyC,CAAC,EAAE,EAAE,KAAK,EAAE,OAAO5C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,CAAC,IAAIixF,IAAG,CAAC,WAAWhtG,GAAG,YAAY,QAAQ,WAAW+sG,GAAG,EAAE,SAASE,IAAIh0F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEwtE,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWvtE,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE5U,EAAE,kBAAkB+T,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE,GAAGC,EAAE,IAAIwhF,GAAG1hF,EAAE,MAAMC,CAAC,EAAEmB,EAAE9D,EAAE,gBAAgB4C,EAAE,CAACf,CAAC,EAAEA,EAAE,KAAK,EAAE,EAAE,IAAI6xF,IAAGhxF,CAAC,EAAE0E,EAAEpH,EAAE,gBAAgB,EAAE,CAACG,EAAE2D,CAAC,EAAEjC,EAAE,KAAK,EAAE,OAAO7B,EAAE,8BAA8B8D,CAAC,EAAEsD,CAAC,CAAC,IAAI2sF,IAAG,CAAC,WAAWjtG,GAAG,YAAY,QAAQ,WAAWgtG,GAAG,EAAE,SAASE,IAAGl0F,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,IAAIikF,GAAGpkF,EAAE,MAAM,EAAE,EAAE,EAAEE,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAE,SAAS,EAAEK,EAAE,IAAIikF,GAAGpkF,EAAE,MAAM,GAAG,GAAG,CAAC,EAAE,IAAI,EAAEE,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIm0F,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO+Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,WAAWK,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAE9B,EAAE1B,EAAE,OAAO4B,EAAE,MAAM,SAAS,EAAE,IAAI,uDAAuDA,EAAE,MAAM,SAAS,EAAE,IAAI6B,EAAE,CAAC,EAAE,CAAC,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBoS,EAAE,MAAMC,EAAE,EAAE4B,EAAE,CAAC,EAAE,CAACU,EAAEC,CAAC,EAAEsxF,IAAG9zF,EAAE2B,EAAEW,EAAEV,CAAC,EAAE,MAAM,CAACW,EAAEC,CAAC,CAAC,CAAC,EAAE,SAASwxF,IAAGp0F,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,cAAc,CAAC,EAAEsD,EAAEtD,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE2+E,GAAG5+E,EAAE,UAAU,OAAO3B,CAAC,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,MAAM,CAAC,MAAM9B,CAAC,EAAE,QAAQE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,IAAIqyF,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO6Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,SAASK,EAAE,KAAK,CAAC,EAAE,EAAE,EAAEH,EAAE6B,EAAE3B,EAAE,MAAM,OAAO4B,EAAExD,EAAE,eAAe,EAAE4B,EAAE,KAAK,EAAE6B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE,EAAE,mBAAmB,CAACxC,CAAC,CAAC,EAAEyC,EAAE,CAAC,EAAEC,EAAE1C,EAAE,GAAGuC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI8B,EAAE,EAAE,QAAQ,IAAI5B,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM5C,CAAC,EAAE,QAAQgD,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,GAAG3E,EAAE,MAAMsC,EAAEqC,IAAI,IAAIH,EAAEu3E,GAAGz3E,EAAEtE,EAAE,MAAMA,EAAE,MAAMsC,EAAEiC,CAAC,EAAE7B,EAAE,EAAE,eAAe6B,EAAEvE,EAAE,KAAK,EAAE,IAAIyE,EAAE,EAAE,QAAQ,IAAI/B,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAEi+E,GAAG3gF,EAAEsC,EAAE,CAAC,EAAEG,EAAE,KAAKC,CAAC,EAAEb,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,CAAC,CAAC/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACiC,EAAE,CAAC,EAAEhW,EAAE,0BAA0B8U,EAAE,MAAMb,CAAC,EAAEqF,EAAEtD,EAAE3D,IAAIiH,EAAEtZ,EAAE,qBAAqBgW,EAAEhC,CAAC,GAAG,IAAI,EAAEoyF,IAAGtxF,EAAE,EAAEwE,EAAE,CAAC,EAAE,QAAQ7C,KAAK5B,EAAE,EAAE,8BAA8B4B,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,SAAS6vF,IAAIt0F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAO5B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIitF,IAAG,CAAC,WAAWntG,GAAG,YAAY,QAAQ,WAAWktG,GAAG,EAAME,IAAI7V,GAAG;AAAA;AAAA,EAE/qG8V,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKF5V,GAAG;AAAA;AAAA,EAEL6V,IAAI7U,GAAG,CAAC,UAAU2U,IAAI,gBAAgBC,IAAI,cAAc/Z,EAAE,CAAC,EAAEia,IAAG,CAAC,WAAWttG,GAAG,YAAY,QAAQ,WAAWqtG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYh0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAI,CAACwC,EAAE,IAAIA,EAAE,GAAG9B,EAAE,GAAG8B,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAIwC,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEX,EAAE7B,EAAE,IAAI,CAACwC,EAAE,IAAIA,EAAE,GAAG9B,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEoB,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,EAAE,IAAI,UAAU,EAAE,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBACvYyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA,QAIpC,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA,8BACoBxB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3CwB;AAAA,yBACeG;AAAA;AAAA,KAEpB,CAAC,EAAM6yF,IAAG,KAAK,CAAC,YAAYj0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,IAAI,CAAC4C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,GAAGlB,EAAE,EAAE,EAAE,IAAIzC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI4C,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEf,EAAE7B,EAAE,IAAI,CAAC4C,EAAEkB,IAAIlB,EAAE,GAAGlC,EAAEoD,EAAE,EAAE,KAAK,GAAG,EAAEhC,EAAEs6E,GAAG,KAAKj8E,CAAC,EAAE,EAAEi8E,GAAG,SAASj8E,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,GAAG,GAAGxC,IAAI,EAAE,CAAC,IAAIyC,EAAE;AAAA,UACpYjB;AAAA;AAAA,0CAEgCe;AAAA;AAAA,8CAEIA;AAAA;AAAA;AAAA,QAGtCC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA,OAE/C,KAAK,CAAC,IAAIA,EAAE;AAAA,UACTjB;AAAA,UACAA,UAAUA;AAAA,UACVA,WAAWA;AAAA,UACXA;AAAA;AAAA,6CAEmCe;AAAA,kDACKA;AAAA;AAAA,QAE1CC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE;AAAA,aACDqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5Cd,EAAE3B,EAAE;AAAA,aACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE;AAAA,YAChCyC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1Cd,EAAE3B,EAAE;AAAA,eACDqC;AAAA,cACDI;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,OAGjD,CAAC,KAAK,SAAS;AAAA,cACRjB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAgB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMiyF,IAAI,CAAC,CAAC,OAAO90F,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,SAASK,EAAE,KAAK,CAAC,EAAEH,EAAE,EAAEtO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIijG,IAAGz0F,EAAE,MAAMC,EAAE,CAAC,EAAE,IAAIu0F,IAAGx0F,EAAE,MAAMC,EAAE,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE20F,IAAG,CAAC,WAAWztG,GAAG,YAAY,QAAQ,WAAWwtG,GAAG,EAAME,IAAI;AAAA,qBACzPC,IAAI;AAAA;AAAA;AAAA,IAGrBpW,GAAG;AAAA;AAAA,EAELqW,IAAIrV,GAAG,CAAC,UAAUmV,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW5tG,GAAG,YAAY,QAAQ,WAAW2tG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYx0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,CAAC,EAAE,KAAK,YAAY,CAACU,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQzNV,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,EAAE;AAAA;AAAA,KAEvB,CAAC,EAAMm1F,IAAI;AAAA;AAAA;AAAA;AAAA,eAIDC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBjBC,GAAG1V,GAAG,CAAC,UAAUwV,IAAI,gBAAgBC,IAAI,iBAAiB,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWrsG,GAAG,YAAY,QAAQ,WAAWosG,EAAE,EAAME,GAAG,gBAAgBC,GAAG7V,GAAG,CAAC,UAAU4V,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAczZ,EAAE,CAAC,EAAE2Z,IAAG,CAAC,WAAW9pG,GAAG,YAAY,QAAQ,WAAW6pG,EAAE,EAAE,SAASE,GAAG51F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,CAAC,CAAC,EAAE6B,EAAE,KAAK,EAAE0B,EAAEmxF,GAAG,CAAC,OAAO,CAAC,EAAE7yF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,iBAAiB,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE8B,EAAEhU,EAAE,qBAAqB+T,EAAE,MAAM,CAAC,EAAEE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEv+E,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEU,EAAEgzF,GAAG,CAAC,OAAO,CAAC,EAAEr1F,EAAE,EAAE4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAEyC,EAAEwqF,GAAG,CAAC,OAAO,CAAC,EAAEzqF,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE0C,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE2C,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAEyyF,GAAG,CAAC,OAAO,CAAC,EAAE5yF,EAAE,EAAEE,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,IAAI+yF,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,EAAE,EAAE,SAASE,IAAI91F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE4B,EAAED,EAAE1B,EAAEu1F,GAAG,CAAC,OAAO,CAAC,OAAOv1F,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,IAAIG,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE4B,EAAED,EAAE,MAAM,GAAGU,EAAEV,EAAE,MAAM,GAAGW,EAAE,IAAIyyF,IAAGnzF,EAAES,EAAE,CAAC,EAAEE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,EAAE3C,EAAE,gBAAgByC,EAAE,CAACX,CAAC,EAAE,QAAQY,CAAC,EAAE,OAAOb,GAAG7B,EAAE,8BAA8B8B,CAAC,EAAEa,CAAC,CAAC,IAAIkzF,IAAG,CAAC,WAAWtuG,GAAG,YAAY,QAAQ,WAAWquG,GAAG,EAAME,IAAI7Y,GAAG;AAAA;AAAA,EAEp2C8Y,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJ,SAASC,IAAIl2F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGF,EAAE,mBAAmB,CAACE,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEF,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,CAAC,EAAE2B,CAAC,EAAE64E,GAAG,EAAE,OAAOx6E,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe6B,EAAE3B,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOzO,EAAE,EAAE,QAAQ,6BAA6B,EAAEyO,EAAE,IAAI29E,GAAG59E,EAAE,MAAM61F,GAAG,EAAE51F,EAAE,IAAI68E,GAAG98E,EAAE,MAAM41F,GAAG,EAAE91F,EAAE,gBAAgBG,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI+1F,IAAG,CAAC,WAAWxuG,GAAG,YAAY,QAAQ,WAAWuuG,GAAG,EAAME,IAAI/hG,GAAG,wBAAwB,SAASgiG,IAAIr2F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,SAASG,EAAE,MAAM,EAAEqC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgByC,CAAC,EAAEyzF,IAAIn0F,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAI2zF,IAAG,CAAC,WAAW1uG,GAAG,YAAY,QAAQ,WAAWyuG,GAAG,EAAME,IAAIliG,GAAG,wBAAwB,SAASmiG,IAAIx2F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAExC,EAAE,SAASG,EAAE,MAAM,EAAEsC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB0C,EAAE,aAAaC,CAAC,EAAE0zF,IAAI7zF,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE1C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC2C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4zF,IAAG,CAAC,WAAW5uG,GAAG,YAAY,QAAQ,WAAW2uG,GAAG,EAAME,IAAIriG,GAAG,wBAAwB,SAASsiG,IAAI32F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAEsC,EAAExC,EAAE,SAASG,EAAE,MAAM,EAAEsC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeqF,CAAC,EAAEovF,IAAIh0F,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAC9D,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsvF,IAAG,CAAC,WAAW9uG,GAAG,YAAY,QAAQ,WAAW6uG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYj2F,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,SAAS,EAAE,KAAK,YAAY,CAACO,EAAEV,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,8BAIl/DG,aAAa;AAAA;AAAA;AAAA,KAGtC,CAAC,EAAMy2F,IAAI92F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAEzD,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,EAAE,IAAIm0F,IAAG50F,EAAE,EAAEF,EAAEC,CAAC,EAAEW,EAAE29E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,CAAC,CAAC,CAAC,CAAC,EAAEW,EAAE1C,EAAE,gBAAgBwC,EAAE,CAACC,CAAC,EAAE,CAAC,EAAEzC,EAAE,8BAA8ByC,CAAC,EAAE,IAAIE,EAAE,CAAC,GAAGxC,EAAE,MAAM,CAAC,EAAEyC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAE,OAAO3C,EAAE,8BAA8B0C,CAAC,EAAEE,CAAC,EAAEi0F,IAAG,CAAC,WAAW9uG,GAAG,YAAY,QAAQ,WAAW6uG,GAAG,EAAE,SAASE,GAAGh3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMpmF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE82F,GAAG,CAAC,OAAO,CAAC,EAAE32F,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE0nF,GAAG,CAAC,OAAO,CAAC,MAAMxnF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAEi1F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ92F,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKl9E,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAO+rF,GAAG,CAAC,MAAM,CAAC,MAAM3tF,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAMA,EAAE,QAAQ,SAAS,GAAG,CAAC,EAAE,QAAQF,CAAC,CAAC,CAAC,CAAC,IAAI+2F,IAAG,CAAC,WAAWpqG,GAAG,YAAY,QAAQ,WAAWmqG,EAAE,EAAE,SAASE,GAAGl3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMpmF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE72F,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE0nF,GAAG,CAAC,OAAO,CAAC,MAAMxnF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAEi1F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ92F,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKl9E,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAO+rF,GAAG,CAAC,MAAM,CAAC,MAAM3tF,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,EAAE,QAAQF,CAAC,CAAC,CAAC,CAAC,IAAIi3F,IAAG,CAAC,WAAWjvG,GAAG,YAAY,QAAQ,WAAWgvG,EAAE,EAAE,SAASE,IAAIp3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOitF,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQntF,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAE0qF,GAAG,CAAC,OAAO,CAAC,MAAM3qF,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE+lF,GAAG,CAAC,OAAOhmF,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,8BAA8BwC,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIo1F,IAAG,CAAC,WAAWhvG,GAAG,YAAY,QAAQ,WAAW+uG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY12F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC,EAAEwC,IAAI,EAAE,GAAG9B,EAAE8B,GAAG,EAAE,EAAE,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI,GAAG,EAAE,EAAE,EAAE,KAAK,GAAG,EAAE6B,EAAE7B,EAAE,IAAI,CAAC,EAAEwC,IAAI,EAAE,GAAG9B,EAAE8B,EAAE,EAAE,KAAK,GAAG,EAAEV,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBAC58EyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUZ,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA;AAAA;AAAA;AAAA,YAIEA;AAAA,2BACeG;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAMu1F,IAAG,KAAK,CAAC,YAAY32F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC8D,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,GAAGD,EAAE,EAAE,EAAE,IAAI3D,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI8D,GAAGA,EAAE,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAE7B,EAAE,IAAI,CAAC8D,EAAEC,IAAID,EAAE,GAAGpD,EAAEqD,EAAE,EAAE,KAAK,GAAG,EAAEjC,EAAEs6E,GAAG,KAAKj8E,CAAC,EAAE,EAAEi8E,GAAG,SAASj8E,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,KAAK,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,CAAC,GAAGf,oBAAoB,GAAGG,EAAE3B,EAAE;AAAA,YAC5aqC;AAAA,QACJrC,IAAI,EAAE,GAAG;AAAA;AAAA,SAER2B,EAAE3B,EAAE;AAAA,YACD2B,EAAE3B,EAAE,QAAQ,KAAK,YAAYA,EAAE,QAAQA,IAAI,EAAE,GAAG,KAAK2B,EAAE3B,EAAE;AAAA,cACvDqC,MAAM,EAAEG,EAAExC,IAAI,EAAE,0BAA0B,6DAA6DyC,EAAE,GAAG,QAAQkB,EAAE,EAAEC,EAAE5D,IAAI,EAAE,EAAE,EAAE2D,EAAEC,EAAED,IAAIlB,GAAG;AAAA,UACnJF,EAAEoB;AAAA,cACEnB;AAAA,mBACKmB;AAAA;AAAA,YAEPnC;AAAA,mBACOmC,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA,QAEjDlB,GAAGzC,IAAI,EAAE,KAAK,KAAK,KAAK,SAAS;AAAA,cAC3BwB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAiB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAM00F,GAAGx3F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE,GAAG5B,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI4B,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAID,EAAE,GAAGrC,EAAE,MAAMsC,GAAGD,EAAE,EAAE,EAAE,OAAOqrF,GAAG,CAAC,QAAQ7tF,EAAE,MAAM,CAAC,MAAM+B,EAAE,MAAM,EAAE,MAAM5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI0B,EAAEnQ,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI2lG,IAAGl3F,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIi3F,IAAGj3F,EAAE,MAAM,EAAE,CAAC,EAAE2B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB6B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,EAAEy1F,IAAG,CAAC,WAAWnvG,GAAG,YAAY,QAAQ,WAAWkvG,EAAE,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1aC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAgBF9Y,GAAG;AAAA;AAAA,EAEL+Y,IAAI/X,GAAG,CAAC,UAAU6X,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAI93F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAEzD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAEqC,EAAET,EAAEU,EAAE3U,EAAE,mBAAmB0U,EAAEX,CAAC,EAAEa,EAAEvC,EAAEsC,GAAG,OAAOC,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAED,EAAE1U,EAAE,iBAAiB0U,EAAE,OAAOX,CAAC,EAAEC,EAAE,KAAKY,CAAC,GAAG5U,EAAE,2BAA2B,OAAO0U,EAAEX,CAAC,EAAE,IAAIc,EAAE,GAAG3C,EAAE,mBAAmB,CAAC0C,CAAC,CAAC,EAAE,CAAC,IAAIE,EAAE5C,EAAE,QAAQ,IAAI0C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQoB,EAAE,SAAS,EAAE,SAASsD,CAAC,EAAEwzE,GAAGl4E,EAAE,MAAMA,EAAE,MAAME,EAAEJ,CAAC,EAAEG,EAAE3C,EAAE,eAAe,EAAEoH,EAAEtD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAClB,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0B4U,EAAE,MAAMF,CAAC,EAAE,EAAElE,EAAE,cAAcwF,CAAC,EAAEsD,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAEpD,GAAGuD,EAAE,KAAK,EAAEoE,EAAEk8E,GAAGr5E,EAAE,EAAE,OAAOpH,CAAC,EAAE2C,EAAEy9E,GAAG,CAAC,OAAO,CAAC77E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAEd,EAAE,KAAKsF,CAAC,EAAEtF,EAAE,KAAKyC,CAAC,CAAC,CAAC,GAAG,EAAE,CAACzC,EAAE,KAAKa,CAAC,EAAE,IAAIC,EAAE9U,EAAE,qBAAqB6U,EAAE,MAAMZ,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOd,EAAE,QAAQc,GAAG5C,EAAE,8BAA8B4C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIk1F,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAIh4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,mBAAmBK,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIiH,GAAGpH,EAAE,SAASoH,EAAE,MAAM,CAAC,EAAErF,EAAE5B,EAAE,IAAIiH,GAAGA,EAAE,KAAK,EAAE5E,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAEyC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC0C,EAAEC,EAAEC,CAAC,EAAEi4E,GAAG/4E,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAI0E,GAAGpH,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAEpH,EAAE,eAAe4C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIi0F,IAAG,CAAC,WAAWpvG,GAAG,YAAY,QAAQ,WAAWmvG,GAAG,EAAE,SAASE,IAAIl4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEs4E,GAAG,EAAE56E,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAEzC,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE1C,EAAE,eAAe,CAACwC,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAIu1F,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAIp4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,SAASG,EAAE,MAAM,EAAEqC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAEyC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAEb,EAAE,IAAI,GAAG7B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE2C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAEi3E,GAAGh5E,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAO9B,EAAE,eAAe4C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIq0F,IAAG,CAAC,WAAWtvG,GAAG,YAAY,QAAQ,WAAWqvG,GAAG,EAAME,GAAGt4F,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEH,EAAE6B,EAAEm5E,GAAG96E,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,EAAEw2F,IAAG,CAAC,WAAWvvG,GAAG,YAAY,QAAQ,WAAWsvG,EAAE,EAAME,IAAI,kBAAkBC,IAAI7Y,GAAG,CAAC,UAAU4Y,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWtvG,GAAG,YAAY,QAAQ,WAAWqvG,GAAG,EAAME,IAAIxb,GAAG;AAAA;AAAA,EAEl7Eyb,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIjZ,GAAG,CAAC,UAAU+Y,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWxvG,GAAG,YAAY,QAAQ,WAAWuvG,GAAG,EAAME,IAAI5b,GAAG;AAAA;AAAA,EAE7G6b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIrZ,GAAG,CAAC,UAAUmZ,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3vG,GAAG,YAAY,QAAQ,WAAW0vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYv4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE/ZF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAoB9B,CAAC,EAAMw2F,IAAG,KAAK,CAAC,YAAYx4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE7WF,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgDpC,CAAC,EAAE,SAASy2F,IAAIr5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE9Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIwnG,IAAG/4F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIk3F,IAAG94F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIi5F,IAAG,CAAC,WAAW7vG,GAAG,YAAY,QAAQ,WAAW4vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY34F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACG,EAAEwB,CAAC,EAAE3B,EAAE,CAAC,CAAC4B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU7hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB1B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMHwB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KA8BlD,CAAC,EAAE,SAAS23F,IAAIx5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAIw3F,IAAG,EAAE,MAAMl5F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI03F,IAAG,CAAC,WAAW/vG,GAAG,YAAY,QAAQ,WAAW8vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY94F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE5iBH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA;AAAA;AAAA,KAKzD,CAAC,EAAM+2F,IAAG,KAAK,CAAC,YAAY/4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAEjYH,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,YACPA,EAAE,GAAG,EAAE;AAAA,uCACoBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA,gCAG9B,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAapC,CAAC,EAAE,SAASg3F,IAAI55F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE9Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI+nG,IAAGt5F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIy3F,IAAGr5F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIw5F,IAAG,CAAC,WAAWlwG,GAAG,YAAY,QAAQ,WAAWiwG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl5F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACG,EAAEwB,CAAC,EAAE3B,EAAE,CAAC,CAAC4B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,GAAG,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAE,GAAGY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKdC,EAAE;AAAA,sCACc,EAAE;AAAA;AAAA;AAAA,wBAGhBA,EAAE;AAAA,wCACc,EAAE;AAAA;AAAA;AAAA,4BAGd3B;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIUwB;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYb,CAAC,EAAE,SAASk4F,IAAI/5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAI+3F,IAAG,EAAE,MAAMz5F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIi4F,IAAG,CAAC,WAAWpwG,GAAG,YAAY,QAAQ,WAAWmwG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYr5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAEU,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,2BAG7YA,EAAE;AAAA;AAAA,QAErB,MAAM,CAAC,IAAIP,EAAE0B,GAAG7B,EAAE,QAAQ6B,CAAC,IAAI,IAAInB,EAAEmB,KAAK,EAAE,GAAGnB,EAAEmB,eAAeA,SAAS,UAAUA,KAAKF,EAAEjB,EAAE,IAAI,CAACmB,EAAEC,IAAI3B,EAAE2B,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEF,EAAEm1E,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3In1E;AAAA,yBACeD;AAAA;AAAA,KAEpB,CAAC,EAAMq4F,IAAG,KAAK,CAAC,YAAYt5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAEU,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,KAAK,YAAYA,EAAE,IAAIP,EAAEi8E,GAAG,KAAK,CAAC,EAAEz6E,EAAE,GAAGxB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAKyB,EAAE,GAAGzB,EAAE,EAAE,YAAY,KAAK,YAAY,EAAE,KAAK0B,EAAEk1E,GAAG,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,uCAIrUr2E,EAAE;AAAA,cAC3BA,EAAE;AAAA,eACDiB;AAAA,2CAC4BjB,EAAE;AAAA,kBAC3BA,EAAE;AAAA;AAAA;AAAA;AAAA,QAIZ,KAAK,SAAS;AAAA;AAAA,YAEVmB;AAAA;AAAA,uBAEWC,EAAE3B,EAAE,MAAM,CAAC;AAAA,eACnBwB;AAAA,yBACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA,eAErByB;AAAA,yBACUY,EAAErC,EAAE,MAAM,CAAC;AAAA,iBACnBwB;AAAA,2BACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAKhC,SAAS2B,EAAEc,EAAE,CAAC,OAAOF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASJ,EAAEI,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQA,EAAE,EAAE,GAAG,IAAIA,EAAE,EAAE,GAAG,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASF,EAAEE,EAAE,CAAC,IAAIkB,EAAEpD,EAAE,IAAI,CAACkE,EAAEL,IAAI5B,EAAE4B,EAAE3B,CAAC,CAAC,EAAEmB,EAAED,EAAE,KAAK,GAAG,EAAEsD,EAAEtD,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG,EAAE,MAAM,mBAAmBC,YAAYqD,KAAK,CAAC,SAASzE,EAAEC,EAAEkB,EAAE,CAAC,OAAO9D,EAAE,QAAQ4C,CAAC,IAAI,IAAIlC,EAAEkC,KAAK,EAAE,GAAGlC,EAAEkC,QAAQkB,EAAElB,SAAS,GAAGkB,EAAElB,IAAI,CAAC,CAAC,EAAE,SAASq3F,IAAIn6F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAEpQ,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIsoG,IAAG75F,EAAE,MAAM0B,CAAC,EAAE,IAAIk4F,IAAG55F,EAAE,MAAM0B,CAAC,EAAE,OAAO7B,EAAE,gBAAgB8B,EAAE,CAAC3B,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI+5F,IAAG,CAAC,WAAWvwG,GAAG,YAAY,QAAQ,WAAWswG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYz5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,MAAM,CAAC,EAAE,IAAI,EAAEU,EAAE,GAAGP,EAAEO,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAIiB,EAAE,GAAG,OAAO3B,GAAG,SAAS2B,EAAE,uBAAuB3B,EAAE,QAAQ,CAAC,KAAK2B,EAAE;AAAA,2BACl9B3B,EAAE,KAAK,GAAG;AAAA,8CACS,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD2B;AAAA,uCAC2BxB,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA,KAKlE,CAAC,EAAMi6F,IAAG,CAAC,WAAWxwG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOkW,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE7B,EAAE8B,EAAE,IAAIq4F,IAAGj6F,EAAE,MAAM,CAAC,EAAE,CAAC6B,EAAES,CAAC,EAAE1U,EAAE,eAAe,EAAEoS,EAAE,MAAM,GAAGA,EAAE,MAAM,EAAE,EAAEuC,EAAE,CAAC,CAACV,EAAES,EAAE,KAAK,IAAIrC,CAAC,EAAE,KAAK,IAAIA,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,gBAAgBC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,EAAM43F,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAe5SC,IAAI5a,GAAG,CAAC,UAAU2a,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1wG,GAAG,YAAY,QAAQ,WAAWywG,GAAG,EAAME,IAAI,yBAAyBC,IAAI/a,GAAG,CAAC,UAAU8a,IAAI,cAAcvf,EAAE,CAAC,EAAEyf,IAAG,CAAC,WAAW5wG,GAAG,YAAY,QAAQ,WAAW2wG,GAAG,EAAME,GAAG,KAAK,CAAC,YAAYj6F,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,UAAU,cAAc,EAAE,KAAK,YAAYD,EAAE,IAAIE,EAAEi1E,GAAGp1E,EAAE,MAAM,EAAE,EAAEo1E,GAAGn1E,EAAE,MAAM,EAAEY,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,IAAI,IAAIA,EAAE,QAAQ,IAAI,EAAE,cAAcA,KAAKE,EAAE,GAAGvC,IAAI,EAAEuC,EAAE,IAAIvC,IAAI,IAAIuC,EAAE,gBAAgB,IAAIC,EAAE,cAAcD,KAAKE,EAAE5C,EAAE,EAAE,aAAa,UAAU,KAAK,SAAS;AAAA,UACzgB8B,eAAeA,KAAKH;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoBjB;AAAA;AAAA,kCAEEV;AAAA,kCACA;AAAA,0CACQ4C;AAAA;AAAA;AAAA,uBAGnBD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAMhB,CAAC,EAAE,SAASi4F,IAAI96F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE3U,EAAE,gBAAgB,EAAEqS,EAAE,CAAC,EAAEuC,EAAE,CAACD,EAAEV,EAAEA,CAAC,EAAE,GAAGU,IAAI,EAAE,OAAOzC,EAAE,eAAe,EAAEG,EAAE,KAAK,EAAE,IAAIwC,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAED,CAAC,CAAC,CAAC,CAAC,EAAEe,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAE9D,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI26F,GAAG74F,EAAED,EAAEc,EAAE,MAAM,OAAOC,EAAE,MAAM,OAAOJ,EAAEE,CAAC,EAAE0E,EAAEpH,EAAE,gBAAgB,EAAE,CAAC4C,EAAED,EAAEmB,CAAC,EAAElB,EAAE,KAAK,EAAE,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAI+2F,IAAG,CAAC,WAAW7wG,GAAG,YAAY,QAAQ,WAAW4wG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp6F,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,iBAAiB,QAAQ,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,YAAY,KAAK,KAAK,CAAC,EAAE,KAAK,YAAY,CAACO,EAAE,CAAC,EAAE,IAAIiB,EAAE,yBAAyBC,EAAE,uBAAuB,KAAK,KAAK,KAAK,KAAK5B,EAAE,CAAC,CAAC,sCAAsC6B,EAAEnQ,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEiQ,EAAEC,EAAEE,EAAE3B,IAAI,OAAO,IAAI,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKrjC0B;AAAA;AAAA,+CAEoCC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkBzC,CAAC,EAAE,SAASi5F,IAAIj7F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,eAAeK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAIi5F,IAAG36F,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE,MAAM,GAAG,CAAC,EAAE2B,EAAE,CAAC,CAAC3B,EAAE,MAAM,EAAE,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC1B,EAAE,CAAC,EAAE,QAAQ2B,CAAC,CAAC,CAAC,IAAIk5F,IAAG,CAAC,WAAW/wG,GAAG,YAAY,QAAQ,WAAW8wG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYv6F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIG,EAAEwB,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,kBAAkB,wBAAwB,EAAE,GAAG,IAAI,EAAEA,EAAE,QAAQxB,EAAE,YAAY,CAAC,IAAI0B,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAExC,EAAE,OAAOwC,IAAI,EAAE,KAAK,GAAGX,EAAEW,IAAI,EAAEA,EAAE9B,GAAGoB,EAAE,KAAK,GAAGD,EAAEW,IAAI,EAAErC,EAAE2B,EAAE,KAAK,EAAEH,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIC,EAAEm1E,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAEzmBn1E;AAAA,4BACkBzB;AAAA;AAAA,2BAEDwB;AAAA;AAAA,2BAEAA;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAE,SAASu5F,IAAIp7F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI86F,IAAG/6F,EAAE,MAAM,OAAOC,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,EAAE,CAAC,EAAE/B,GAAG+B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIg7F,IAAG,CAAC,WAAWjxG,GAAG,YAAY,QAAQ,WAAWgxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,uBAG7NttG,EAAE;AAAA,kBACPA,EAAE;AAAA;AAAA,EAElButG,IAAI3b,GAAG,CAAC,UAAU0b,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWnxG,GAAG,YAAY,QAAQ,WAAWkxG,GAAG,EAAME,IAAI9b,GAAG;AAAA;AAAA,EAEzF+b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAI/b,GAAG,CAAC,UAAU6b,IAAI,gBAAgBC,IAAI,cAAcrgB,EAAE,CAAC,EAAEugB,IAAG,CAAC,WAAWrxG,GAAG,YAAY,QAAQ,WAAWoxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAG3HC,IAAIlc,GAAG,CAAC,UAAUic,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWvxG,GAAG,YAAY,QAAQ,WAAWsxG,GAAG,EAAME,IAAIrc,GAAG;AAAA;AAAA,EAEzFsc,IAAIrc,GAAG,CAAC,UAAUoc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWzxG,GAAG,YAAY,QAAQ,WAAWwxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGtFC,IAAIxc,GAAG,CAAC,UAAUuc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3xG,GAAG,YAAY,QAAQ,WAAW0xG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoBtFC,IAAI3c,GAAG,CAAC,UAAU0c,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3xG,GAAG,YAAY,QAAQ,WAAW0xG,GAAG,EAAME,IAAIz8F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE5B,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQsF,EAAE,EAAE,EAAE,OAAOA,EAAEjH,EAAE,MAAM,OAAO,EAAEiH,EAAEtF,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAES,EAAE80F,GAAG,CAAC,OAAO,CAAC,EAAEn3F,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEW,EAAE3U,EAAE,YAAY0U,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEa,EAAE5U,EAAE,YAAY2U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE7U,EAAE,oBAAoB0U,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEe,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,EAAEqB,EAAEm9E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAE,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAE,OAAOZ,EAAE,KAAKS,CAAC,EAAET,EAAE,KAAKa,CAAC,EAAEb,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,QAAQqF,GAAGpH,EAAE,8BAA8BoH,CAAC,CAAC,EAAE,CAAC,EAAEo1F,IAAG,CAAC,WAAW5xG,GAAG,YAAY,QAAQ,WAAW2xG,GAAG,EAAE,SAASE,IAAI38F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WAC/7B,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO,EAAE,IAAI0B,EAAE7B,EAAE,SAASE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE4B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEwC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAACyC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEw3E,GAAGz5E,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAACxC,EAAE,eAAe0C,EAAExC,EAAE,MAAMuC,CAAC,EAAEzC,EAAE,eAAe,CAAC0C,EAAE,EAAE,EAAEvC,EAAE,MAAMwC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC8D,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI44F,IAAG,CAAC,WAAW7xG,GAAG,YAAY,QAAQ,WAAW4xG,GAAG,EAAE,SAASE,IAAI78F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKH,EAAE,SAASG,EAAE,MAAM,CAAC,EAAE0B,EAAE7B,EAAE,SAASE,EAAE,MAAM,EAAE4B,EAAE,MAAM,KAAK9B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAE84E,GAAG15E,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAC9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,EAAE/B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIm6F,IAAG,CAAC,WAAW9xG,GAAG,YAAY,QAAQ,WAAW6xG,GAAG,EAAE,SAASE,IAAI/8F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjxCA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEg5E,GAAG,EAAEt7E,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI+6F,IAAG,CAAC,WAAW/xG,GAAG,YAAY,QAAQ,WAAW8xG,GAAG,EAAE,SAASE,IAAIj9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eAC1aA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEg5E,GAAG,EAAEt7E,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIi7F,IAAG,CAAC,WAAWhyG,GAAG,YAAY,QAAQ,WAAW+xG,GAAG,EAAE,SAASE,IAAIn9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,cAAcK,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE5U,EAAE,gBAAgB,EAAEqS,EAAE0B,CAAC,EAAEc,EAAE,GAAG,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIyE,EAAEpH,EAAE,WAAWG,CAAC,EAAE,EAAEH,EAAE,WAAW,CAAC,EAAEuE,EAAEjG,EAAE,aAAa0B,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,EAAEwE,EAAE02E,GAAG9zE,EAAE,EAAEvF,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE8B,EAAE5B,CAAC,EAAE,OAAO3C,EAAE,eAAe6B,EAAE2C,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI5B,EAAE,IAAI+3F,GAAG54F,EAAED,EAAE3B,EAAE,MAAM,OAAO,EAAE,MAAM,OAAOsC,EAAE,CAACC,EAAE,CAAC,EAAEC,CAAC,EAAEmB,EAAE9D,EAAE,gBAAgB4C,EAAE,CAAC,EAAEzC,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM6B,CAAC,CAAC,CAAC,EAAE,OAAO7B,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIo5F,IAAG,CAAC,WAAWjyG,GAAG,YAAY,QAAQ,WAAWgyG,GAAG,EAAE,SAASE,IAAIr9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE5B,EAAE,MAAM,OAAOqC,EAAE,IAAI,MAAMT,CAAC,EAAE,KAAK,CAAC,EAAEU,EAAEtC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIY,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEd,GAAGa,EAAE,IAAIE,EAAE+iF,GAAG,CAAC,OAAO,CAAC,EAAExlF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwC,EAAE,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAEX,IAAIa,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIw6F,IAAG,CAAC,WAAWlyG,GAAG,YAAY,QAAQ,WAAWiyG,GAAG,EAAME,GAAG,kBAAkBC,IAAI5d,GAAG,CAAC,UAAU2d,GAAG,gBAAgBA,GAAG,cAAc5hB,EAAE,CAAC,EAAE8hB,IAAG,CAAC,WAAWpyG,GAAG,YAAY,QAAQ,WAAWmyG,GAAG,EAAME,IAAI,gBAAgBC,IAAI/d,GAAG,CAAC,UAAU8d,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWtyG,GAAG,YAAY,QAAQ,WAAWqyG,GAAG,EAAME,GAAG,4BAA4BC,IAAIje,GAAG,CAAC,UAAUge,GAAG,gBAAgBA,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWxyG,GAAG,YAAY,QAAQ,WAAWuyG,GAAG,EAAE,SAASE,IAAI,CAAC,OAAOh+F,EAAE,MAAM,EAAE,QAAQE,CAAC,EAAE,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAEK,EAAE88E,GAAG;AAAA,mCAC9lD,EAAE;AAAA,IACjC,EAAE,IAAID,GAAG98E,EAAE,MAAMC,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI69F,IAAG,CAAC,WAAWzyG,GAAG,YAAY,QAAQ,WAAWwyG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt9F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,EAAE,IAAIG,EAAE,EAAE,OAAOwB,EAAEo1E,GAAG,EAAE,MAAM,EAAEn1E,EAAEm1E,GAAG,EAAE,MAAM,EAAEl1E,EAAE,GAAG,GAAG1B,IAAI,EAAE0B,EAAE,+BAA+B,CAAC,IAAIC,EAAE,EAAED,EAAE,EAAE,IAAI,CAAC,EAAEW,KAAKV,IAAI,EAAE,SAAS,EAAE,oBAAoBU,cAAcA,KAAK,UAAUV,EAAE,gBAAgBU,cAAcA,KAAK,EAAE,KAAK,GAAG,CAAC,CAAC,KAAK,SAAS;AAAA,QACpbb,aAAaA,KAAKjB;AAAA,QAClBiB,eAAeA,KAAK3B;AAAA;AAAA;AAAA,UAGlB4B;AAAA,yBACeC;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASo8F,IAAIn+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIwE,EAAEjJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEK,EAAE8gF,GAAG,CAAC,OAAO,CAAC,EAAExlF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK2E,CAAC,CAAC,CAAC,EAAEF,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEv7E,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE5C,EAAE,8BAA8B6E,CAAC,CAAC,SAAS7E,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAE,CAAC,IAAI0E,EAAE7E,EAAE,SAASG,EAAE,MAAM,EAAEkH,EAAE1Y,GAAGwR,EAAE,MAAMA,EAAE,MAAM0E,CAAC,EAAEC,EAAE42E,GAAG/4E,EAAE0E,EAAE7C,EAAE,CAAC,EAAEC,EAAEzE,EAAE,eAAe4C,EAAEzC,EAAE,MAAM2E,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,IAAIm5F,IAAG,EAAEx5F,EAAE7B,CAAC,EAAE8B,EAAEzE,EAAE,gBAAgB6E,EAAE,CAAC1E,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuE,EAAE07E,GAAG,CAAC,OAAO,CAAC,EAAE37E,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8ByE,CAAC,EAAEC,CAAC,CAAC,IAAIw5F,IAAG,CAAC,WAAW3yG,GAAG,YAAY,QAAQ,WAAW0yG,GAAG,EAAE,SAASE,IAAIr+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE1C,EAAE,SAASwC,EAAE,MAAM,EAAEG,EAAE3C,EAAE,SAASyC,EAAE,MAAM,EAAE,CAACG,EAAEkB,CAAC,EAAE63E,GAAGj5E,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE5C,EAAE,eAAeyC,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIs6F,IAAG,CAAC,WAAW5yG,GAAG,YAAY,QAAQ,WAAW2yG,GAAG,EAAE,SAASE,IAAIv+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE7B,EAAE,SAAS,EAAE,MAAM,EAAE8B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,GAAG,CAAC+B,EAAES,EAAEC,CAAC,EAAEm5E,GAAG/5E,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAACxC,EAAE,eAAe,CAAC0C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAE/B,EAAE,eAAe,CAAC0C,CAAC,EAAE,SAASF,CAAC,EAAExC,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAWyC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI67F,IAAG,CAAC,WAAW7yG,GAAG,YAAY,QAAQ,WAAW4yG,GAAG,EAAE,SAASE,IAAIz+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,WAAWK,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEH,EAAE,SAAS,EAAE,MAAM,EAAE6B,EAAEg6E,GAAG,EAAE17E,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ6B,CAAC,CAAC,CAAC,IAAI28F,IAAG,CAAC,WAAW9yG,GAAG,YAAY,QAAQ,WAAW6yG,GAAG,EAAME,IAAI,iBAAiBC,IAAIhf,GAAG,CAAC,UAAU+e,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW7yG,GAAG,YAAY,QAAQ,WAAW4yG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGr3EC,IAAInf,GAAG,CAAC,UAAUkf,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/yG,GAAG,YAAY,QAAQ,WAAW8yG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYr+F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,GAAGlB,EAAEkB,GAAG5B,EAAE4B,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEq9F,IAAIt+F,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAElRP;AAAA,yBACewB;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASq9F,IAAIl/F,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,iBAAiB,wBAAwB,EAAE,GAAG,IAAI,EAAE,MAAM,eAAeA,EAAE,MAAM,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAE,KAAK,QAAQF,EAAEG,OAAOL,EAAEK,KAAK,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAAS++F,GAAGn/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,GAAGC,EAAE,QAAQ,UAAUA,EAAE,MAAM,OAAO,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE,EAAEA,EAAE,QAAQ,SAAS2B,EAAE,IAAIY,GAAGpE,EAAE,aAAaoE,CAAC,CAAC,EAAEZ,EAAEU,EAAE7T,GAAGwR,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,EAAE47E,GAAGv5E,EAAE,CAAC,EAAE,OAAOxC,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI,EAAE,IAAI++F,IAAG5+F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACG,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI++F,IAAG,CAAC,WAAWhzG,GAAG,YAAY,QAAQ,WAAW+yG,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYz+F,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,cAAc,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAwCp5B,CAAC,EAAE0+F,IAAG,KAAK,CAAC,YAAY1+F,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,IAAI,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkC/L,CAAC,EAAE,SAAS2+F,GAAGv/F,EAAE,EAAE,CAAC,IAAI,MAAMA,EAAE,8BAA8B,CAAC,CAAC,CAAC,SAASw/F,GAAGx/F,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,GAAG,EAAE,OAAO,CAAC,CAAC,SAASy/F,IAAIz/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE2B,EAAEnQ,EAAE,EAAE,UAAU,0CAA0C,EAAEoQ,EAAEpQ,EAAE,EAAE,UAAU,8BAA8B,EAAEqQ,EAAE5B,EAAE,MAAMqC,EAAET,EAAEA,EAAE,OAAO,GAAG,GAAG/B,EAAE,mBAAmB,CAACG,CAAC,CAAC,GAAGqC,EAAEX,GAAG,EAAEC,EAAE,CAAC,IAAIgD,EAAE9E,EAAE,SAASG,EAAE,MAAM,EAAE,CAAC4E,EAAEC,CAAC,EAAEg3E,GAAGl3E,EAAE/C,EAAE5B,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACH,EAAE,eAAe+E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAE/E,EAAE,eAAegF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,OAAOjD,EAAEA,EAAE,OAAO,GAAG,EAAE,CAAC/B,EAAE,eAAe+B,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAEH,EAAE,eAAe+B,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAGS,IAAI,EAAE,MAAM,CAACrC,EAAE0tF,GAAG,CAAC,MAAM,CAAC,MAAM9rF,EAAE,MAAM,QAAQ,MAAM,CAAC,EAAE,QAAQ/B,CAAC,CAAC,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEuC,EAAED,IAAI,MAAMA,EAAE,SAASE,EAAED,EAAE1C,EAAE,aAAaG,CAAC,EAAEA,EAAE2D,EAAExF,EAAE,cAAcyD,CAAC,EAAES,EAAEuB,EAAEq8E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,MAAM,CAAC,MAAM,CAACmB,EAAEtB,CAAC,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE0C,GAAG28F,GAAGr/F,EAAE2C,CAAC,EAAE,IAAIyE,EAAEk4F,GAAG,CAAC,EAAE16F,EAAE06F,GAAG98F,CAAC,EAAE+B,EAAE,KAAKC,EAAE,IAAID,IAAI,KAAK,CAACR,EAAEA,CAAC,EAAE,CAACA,EAAEQ,CAAC,EAAEE,EAAE,CAACK,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAET,EAAE,EAAEU,EAAE,IAAIi6F,IAAGn6F,CAAC,EAAE8C,EAAE,CAAC,CAACtF,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC,OAAO,iBAAiB,EAAE,CAACO,CAAC,EAAE,CAACC,CAAC,CAAC,EAAEwC,EAAEhD,EAAEA,EAAEvE,EAAE,gBAAgBkF,EAAED,EAAE,QAAQ6C,CAAC,EAAEu3F,GAAGr/F,EAAEuH,CAAC,CAAC,EAAE,QAAQzC,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAE,QAAQE,EAAEF,EAAEE,GAAG,EAAEA,GAAG,EAAEP,EAAEM,EAAEC,EAAE,CAAClB,EAAEc,CAAC,CAAC,CAAC,CAAC,QAAQE,EAAEF,EAAEE,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAEP,EAAE,EAAEQ,EAAE,IAAIo6F,IAAG,CAACt7F,EAAEgB,EAAE,CAAC,CAAC,EAAEI,EAAE,CAAC,CAAC1C,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC6C,CAAC,CAAC,EAAEjC,EAAEZ,EAAEA,EAAEvE,EAAE,gBAAgBgF,EAAED,EAAE,QAAQG,CAAC,EAAEm6F,GAAGr/F,EAAEmF,CAAC,EAAE,IAAI2C,EAAEV,EAAE,EAAEG,EAAEO,EAAE,EAAE,QAAQC,EAAED,EAAEC,GAAG,EAAEA,GAAG,EAAEtD,EAAE8C,EAAEQ,EAAExD,EAAE,KAAK,CAAC,CAAC,IAAIG,EAAEH,EAAEA,EAAEohF,GAAG,CAAC,OAAO,CAAC,EAAEphF,CAAC,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAAC8D,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEu7F,GAAGr/F,EAAE0E,CAAC,EAAE,IAAIC,EAAE4qF,GAAG,CAAC,OAAO,CAAC,EAAExrF,EAAE,QAAQQ,CAAC,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAE+D,CAAC,EAAE,IAAIc,EAAE9C,EAAE,MAAM,EAAE,EAAE,EAAE8C,EAAE,KAAK,CAAC,EAAEH,EAAEH,EAAEA,EAAE67E,GAAG,CAAC,OAAO,CAAC,EAAE77E,CAAC,EAAE,MAAM,CAAC,MAAMM,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAE0E,CAAC,EAAE,IAAI2C,EAAE1C,EAAE,OAAOA,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAEz7E,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAEqH,CAAC,EAAE,CAAC1C,EAAEJ,CAAC,CAAC,CAAC,IAAIi7F,IAAG,CAAC,WAAWrzG,GAAG,YAAY,QAAQ,WAAWozG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/+F,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,YAAY,EAAE,KAAK,YAAYA,EAAE,IAAIC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,OAAO3B,EAAE,CAAC,IAAI,WAAW2B,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,mBAG92DA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiBpB,gCAAgCV;AAAA;AAAA;AAAA,sCAGtC2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBAA;AAAA;AAAA;AAAA;AAAA,mDAIa3B;AAAA,mDACAU;AAAA;AAAA,sBAE7BmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAwBb,CAAC,EAAE,SAAS69F,IAAI5/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE,IAAIq4F,IAAGh9F,EAAEC,EAAE,EAAEb,EAAEC,EAAE,CAAC,EAAE,OAAO9B,EAAE,gBAAgBoH,EAAE,CAACjH,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIw/F,IAAG,CAAC,WAAWvzG,GAAG,YAAY,QAAQ,WAAWszG,GAAG,EAAE,SAASE,IAAI9/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAEH,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEqvE,GAAG,EAAE,QAAQ,EAAE,QAAQ,KAAK,YAAY,4DAA4D,EAAE,IAAI,EAAEnvE,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEm6E,GAAG,EAAE/7E,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAI89F,IAAG,CAAC,WAAWvzG,GAAG,YAAY,QAAQ,WAAWszG,GAAG,EAAE,SAASE,IAAIhgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE0B,EAAE,EAAE,MAAM,OAAOC,EAAE3B,EAAE,MAAM,GAAG4B,EAAE,IAAI,MAAMF,EAAE,CAAC,EAAEW,EAAE,EAAE,QAAQsB,EAAE,EAAEA,EAAEjC,EAAEiC,IAAIA,IAAI,IAAI/B,EAAES,KAAK,EAAE,MAAMsB,IAAI,IAAIrB,EAAE,CAAC,EAAEC,EAAE,IAAI,MAAMb,CAAC,EAAE,KAAK,CAAC,EAAEc,EAAE,EAAE,MAAM,MAAM,EAAEA,EAAE,GAAG,EAAE,IAAIC,EAAE,IAAI,MAAMd,CAAC,EAAE,QAAQgC,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAACpB,EAAE,GAAGoB,EAAE,IAAI,EAAE6hF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3lF,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEyE,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,EAAEa,EAAEkB,GAAGsD,EAAE3E,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,EAAE,QAAQqB,GAAG9D,EAAE,8BAA8B8D,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIm9F,IAAG,CAAC,WAAWxzG,GAAG,YAAY,QAAQ,WAAWuzG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt/F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,YAAY,EAAE,IAAI,EAAEU,EAAE,WAAWP,EAAEO,EAAE,UAAUiB,EAAEjB,EAAE,OAAOkB,EAAElB,EAAE,YAAYmB,EAAED,EAAE,KAAK,KAAKD,EAAE,CAAC,EAAE,KAAK,YAAY,CAACxB,EAAE0B,CAAC,EAAE,IAAIC,EAAE,MAAM,EAAE,WAAWU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA;AAAA,MAEh9CC,EAAE,GAAGhB,EAAE,EAAE,IAAIgB,EAAE;AAAA,oCACehB;AAAA;AAAA;AAAA,SAG3B,IAAIiB,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACQjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBG;AAAA;AAAA;AAAA,UAGhCa;AAAA;AAAA;AAAA;AAAA;AAAA,UAKAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASEhB,eAAe;AAAA,wDAC6BA;AAAA;AAAA;AAAA;AAAA,8BAI1BY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlBE;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBNE;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAASu9F,IAAIngG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE1U,EAAE,mBAAmB,CAACiU,CAAC,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAEV,EAAE,KAAKW,CAAC,EAAEV,EAAEjU,EAAE,iBAAiB,EAAE+T,CAAC,EAAE,IAAI,IAAIa,EAAE5U,EAAE,aAAa,gBAAgB2U,EAAE,MAAMV,EAAE,CAAC,EAAEY,EAAErE,EAAE,cAAc,CAACmE,EAAE,MAAMV,EAAE,CAAC,EAAEa,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG2C,CAAC,CAAC,CAAC,CAAC,EAAEb,EAAE,KAAKc,CAAC,EAAE,IAAIkB,EAAElH,GAAGuD,EAAE,KAAK,EAAE,EAAE,CAACqE,EAAEC,EAAEC,EAAEC,EAAEE,IAAI,CAAC,IAAIwC,EAAE7C,EAAE,MAAM,GAAGM,EAAEN,EAAE,MAAM,GAAGO,EAAEjX,EAAE,aAAa,8BAA8BgX,EAAED,CAAC,EAAEG,EAAE,CAAC,WAAWD,EAAE,OAAOD,EAAE,UAAUuC,EAAE,YAAYxC,CAAC,EAAEI,EAAE,IAAI+6F,IAAGh7F,EAAEP,CAAC,EAAES,EAAElF,EAAE,cAAciF,EAAE,CAACT,EAAEE,CAAC,EAAEC,CAAC,EAAE,GAAG7C,EAAE,KAAKoD,CAAC,EAAEA,EAAE,MAAM,KAAKL,EAAE,OAAOK,EAAE,IAAIC,EAAEizF,GAAG,CAAC,QAAQp4F,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK6E,EAAE,KAAK,EAAE,MAAM,SAAS,CAAC,CAAC,EAAEiD,EAAEm3F,GAAG,CAAC,OAAO,CAAC,EAAE95F,CAAC,EAAE,QAAQnF,EAAE,MAAM,CAAC,KAAK,CAAC8E,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOjD,EAAE,KAAKqD,CAAC,EAAErD,EAAE,KAAKgG,CAAC,EAAE,EAAE5C,EAAET,EAAEqD,EAAEnD,EAAEE,CAAC,CAAC,EAAEuC,EAAE,EAAExE,EAAE,qBAAqB,EAAEkB,EAAE,CAAC,EAAE,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE6B,EAAE,EAAE,GAAG/B,GAAG,KAAK,CAACV,EAAE,KAAK,CAAC,EAAE,IAAI0C,EAAE1W,EAAE,uBAAuB0U,CAAC,EAAE+B,EAAE08E,GAAG,CAAC,OAAO,CAAC18E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAKwE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,QAAQ0C,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI27F,IAAG,CAAC,WAAW1zG,GAAG,YAAY,QAAQ,WAAWyzG,GAAG,EAAME,IAAI,CAAC7e,GAAGG,GAAGG,GAAGG,GAAGG,GAAGI,GAAGE,GAAGE,GAAGO,GAAGE,GAAGG,GAAGG,GAAGG,GAAGI,GAAGG,GAAGI,GAAGE,GAAGI,GAAGE,GAAGE,GAAGI,GAAGS,GAAGE,GAAGE,GAAGS,GAAGG,GAAGI,GAAGlI,GAAGsI,GAAGS,GAAGS,GAAGM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGG,GAAGG,GAAGO,GAAGE,GAAGE,GAAGG,GAAGI,GAAGI,GAAGE,GAAGG,IAAGG,IAAGE,IAAGI,IAAGI,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGI,IAAGG,IAAGE,IAAGG,IAAGI,IAAGG,IAAGK,IAAGE,IAAGG,IAAGI,IAAGI,IAAGI,IAAGlR,GAAGoR,IAAGvI,GAAG0I,IAAGG,IAAGG,IAAGvR,GAAG2R,IAAGI,IAAGE,IAAGI,IAAGG,IAAGI,IAAGG,IAAGI,IAAGI,IAAGG,IAAGG,IAAGI,IAAGE,IAAGE,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGI,IAAGI,IAAGY,IAAG3V,GAAG+V,IAAGG,IAAGG,IAAGG,IAAGrQ,GAAGwQ,IAAGI,IAAGE,IAAGI,IAAGI,IAAGnY,GAAGqY,IAAGE,IAAGE,IAAGE,IAAGE,IAAG9R,GAAG+O,IAAGkD,IAAGI,IAAGI,IAAG3Y,GAAG+Y,IAAGG,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGI,IAAGG,IAAGG,IAAGG,IAAGvW,GAAG+P,IAAG2G,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGG,IAAGG,IAAGG,IAAGE,IAAGG,IAAGE,IAAGE,IAAGE,IAAG/I,IAAGzU,GAAG2d,IAAGG,IAAGI,IAAGM,IAAGG,IAAGze,GAAG2e,IAAGE,IAAGG,IAAGnJ,GAAE,EAAE,QAAQj3F,KAAKqgG,IAAIjnG,GAAG4G,CAAC,EAAE,IAAIsgG,IAAI,SAAStgG,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAGsgG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvgG,EAAE,CAACA,EAAEA,EAAE,OAAO,GAAG,SAASA,EAAEA,EAAE,KAAK,GAAG,OAAOA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,MAAM,GAAG,QAAQA,EAAEA,EAAE,UAAU,GAAG,YAAYA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,IAAI,GAAG,KAAK,GAAGugG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIzgG,EAAE,CAACwgG,GAAGxgG,EAAE,KAAK,MAAMlT,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4zG,IAAI1gG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,GAAG1B,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,6DAA6D,EAAE,GAAG,CAAC,WAAW2B,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGwC,EAAE3C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG4C,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIiC,EAAE7E,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6E,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,MAAM,SAAS,EAAEjC,EAAEiC,EAAE,EAAE,CAAC,IAAIf,EAAEjC,GAAG,KAAK,EAAE7B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAG,EAAEw+F,GAAG79F,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAI4E,EAAEtF,EAAE3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG,EAAE4B,EAAE,EAAE,MAAM,GAAG,EAAE,MAAM,GAAGwC,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAEqE,EAAExE,EAAE,WAAW,CAAC,GAAGuE,EAAE6C,EAAE,CAAC,EAAEjH,EAAE,KAAK,EAAEsE,EAAEzE,EAAE,UAAU,IAAIwE,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWvE,EAAE,KAAK,EAAE,MAAM,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO27F,GAAG59F,EAAEgC,EAAEvE,EAAE,MAAM,OAAOwC,EAAEgC,EAAE,EAAE,MAAM,OAAO7C,EAAEC,EAAE,EAAEa,EAAEkB,EAAErB,GAAG,EAAEgC,CAAC,EAAED,CAAC,CAAC,IAAIi8F,IAAG,CAAC,WAAW7zG,GAAG,YAAY,OAAO,UAAU2zG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG5gG,EAAE,EAAE,CAAC,IAAIE,EAAE,SAASE,EAAE,EAAE,CAACF,EAAE,EAAE,KAAK,MAAMF,EAAE,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASK,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE0B,CAAC,CAAC,EAAE,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAWF,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAEW,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,GAAG/B,EAAE8B,EAAEs+F,GAAGv+F,EAAE,OAAOW,CAAC,EAAET,CAAC,CAAC,MAAM,CAAC,WAAWjC,EAAE,YAAY,OAAO,UAAUI,EAAE,WAAWC,CAAC,CAAC,CAAC,IAAIwgG,IAAGD,GAAG9gH,EAAE,EAAE,SAASghH,GAAG9gG,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,SAASC,EAAE,EAAE,CAACD,EAAE,EAAE,KAAK,MAAMJ,EAAE,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ+B,EAAE,OAAOC,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAES,CAAC,EAAEV,EAAEW,EAAEZ,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAGW,EAAEb,EAAE,UAAU,IAAIW,EAAE,MAAM,EAAE,GAAGG,EAAE3C,GAAG,KAAKA,EAAE+B,EAAE,MAAMa,EAAE9U,EAAE,2BAA2BiU,EAAE,MAAMS,EAAE,KAAK,EAAEsB,EAAEjC,EAAE,WAAWe,EAAED,CAAC,EAAE,GAAGrE,EAAE,cAAcsE,CAAC,IAAI,EAAE,OAAOkB,EAAE,IAAI,EAAE,IAAI,WAAW,IAAI,WAAW/B,EAAE,KAAK,EAAE,MAAM,EAAEqF,EAAE,IAAI,WAAW,IAAI,WAAW5E,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEX,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAG,OAAW5D,EAAEuC,EAAE,EAAEV,EAAE,MAAM,OAAOW,EAAE0E,EAAE5E,EAAE,MAAM,OAAO49F,GAAGr+F,EAAE,OAAO,CAAC,EAAK+B,CAAC,CAAC,MAAM,CAAC,WAAWhE,EAAE,YAAY,OAAO,UAAUK,EAAE,WAAW,CAAC,CAAC,CAAC,IAAI0gG,IAAI,GAAGC,IAAGF,GAAGzgH,GAAG0gH,GAAG,EAAME,GAAG,SAASC,IAAIlhG,EAAE,CAACihG,GAAGjhG,EAAE,KAAK,MAAM1f,GAAG,KAAK,CAAC,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6gH,IAAInhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,EAAE,GAAG1B,EAAE,cAAc4B,EAAE,KAAK,IAAI,EAAE,OAAOA,EAAE,IAAIC,EAAE,EAAE,IAAI0B,GAAG7B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW1B,CAAC,EAAE,MAAM,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,OAAO6gG,GAAG,EAAE5gG,EAAE,OAAOigG,GAAGlgG,EAAE,OAAO,CAAC,EAAEA,CAAC,CAAC,IAAIghG,IAAG,CAAC,WAAW9gH,GAAG,YAAY,OAAO,UAAU4gH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGrhG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAE,GAAG,EAAE,QAAQ,SAAS,OAAO/C,GAAGiD,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIE,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEG,EAAEH,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,IAAIC,CAAC,EAAED,CAAC,CAAC,IAAIkhG,IAAG,CAAC,WAAWl8G,GAAG,YAAY,OAAO,WAAWi8G,EAAE,EAAME,GAAG,SAASC,IAAIxhG,EAAE,CAACuhG,GAAGvhG,EAAE,KAAK,MAAMzT,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASk1G,GAAGzhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAACK,EAAE,CAAC,EAAEqhG,IAAI,EAAE,EAAE,MAAMthG,EAAE,IAAI,EAAE,EAAE,GAAG,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,KAAKA,IAAI,EAAE,IAAI,IAAIf,EAAE4/F,IAAI,EAAE,EAAE,MAAMvhG,EAAE,IAAI,EAAE4B,EAAE,CAAC,OAAO,EAAE,EAAE,OAAO,MAAM3B,EAAE,MAAM,EAAE,EAAE,KAAK,EAAE,GAAG,EAAE,CAAC,IAAIyC,EAAEu+F,GAAG,CAAC,OAAO,EAAE,QAAQnhG,CAAC,CAAC,EAAE,OAAO4C,EAAE,MAAMf,EAAEe,CAAC,CAAC,IAAIb,EAAE/B,EAAE,WAAW6B,EAAEC,EAAE,KAAK,EAAEU,EAAExC,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAGW,EAAEzC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWb,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOu/F,GAAG7+F,EAAEG,EAAEb,EAAE,MAAM,OAAOs+F,GAAGt+F,EAAE,OAAOW,EAAEC,EAAE,EAAE,MAAM,EAAEX,CAAC,CAAC,SAAS0/F,IAAI3hG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,GAAGJ,EAAE,EAAEI,IAAI,OAAOF,CAAC,CAAC,SAASwhG,IAAI1hG,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEL,EAAEK,KAAK,GAAGH,EAAE,KAAKF,EAAEK,EAAE,EAAEL,EAAE,EAAEK,MAAM,GAAGD,EAAE,KAAK,EAAEC,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAIC,IAAI,IAAI,IAAID,EAAE,GAAGA,EAAE,MAAM,EAAE,GAAGA,EAAE,GAAGC,CAAC,CAAC,MAAM,CAACH,EAAEE,CAAC,CAAC,CAAC,IAAIwhG,IAAG,CAAC,WAAWr1G,GAAG,YAAY,OAAO,WAAWk1G,GAAG,UAAUD,GAAG,EAAE,SAASK,GAAG7hG,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAMK,EAAEL,EAAE,MAAM,OAAO,EAAExB,EAAE,eAAe,EAAE4B,CAAC,EAAE,EAAE,EAAE2B,EAAE/T,EAAE,mBAAmB,EAAEqS,CAAC,EAAE2B,EAAE,KAAKC,EAAE,GAAG,GAAGF,GAAG,KAAK,CAAC,IAAIW,EAAE,IAAI,MAAMrC,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,GAAGzC,EAAE2B,EAAEc,IAAI,EAAE7U,EAAE,iBAAiB,EAAE,OAAOqS,CAAC,EAAE2B,EAAEy/F,GAAG,CAAC,OAAO,CAAC,EAAEzhG,CAAC,EAAE,MAAM,CAAC,KAAK+B,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGE,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,KAAKW,IAAIV,EAAE,GAAG,CAAC,MAAM,CAAC,WAAWD,EAAE,aAAa,EAAE,KAAK,EAAE,mBAAmBC,CAAC,CAAC,CAAC,IAAI6/F,GAAG,SAASC,IAAI/hG,EAAE,CAAC8hG,GAAG9hG,EAAE,KAAK,MAAMzf,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASyhH,IAAIhiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGg9F,GAAG9/F,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIm9F,IAAG,CAAC,WAAW1hH,GAAG,YAAY,OAAO,UAAUwhH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIniG,EAAE,CAACkiG,GAAGliG,EAAE,KAAK,MAAMxf,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAAS4hH,IAAIpiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGo9F,GAAGlgG,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIu9F,IAAG,CAAC,WAAW7hH,GAAG,YAAY,OAAO,UAAU2hH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIviG,EAAE,CAACsiG,GAAGtiG,EAAE,KAAK,MAAMvf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+hH,IAAIxiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE,EAAEC,EAAE,EAAE,CAAC,WAAWC,EAAE,KAAKS,EAAE,mBAAmBC,CAAC,EAAEk/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGsC,EAAE,CAAC,IAAI2E,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAGqF,IAAI,IAAItF,EAAEC,EAAEF,EAAEuF,EAAE,CAAC,IAAI1E,EAAEZ,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEa,EAAE,EAAE,WAAWD,EAAE,OAAO,EAAEE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAExF,EAAE,cAAcqE,EAAE,KAAK,EAAE,EAAEb,EAAE,MAAMU,EAAE,IAAI,OAAO4/F,GAAGvgG,EAAEu+F,GAAGt+F,EAAE,OAAOgC,EAAE,EAAElB,CAAC,EAAEH,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAEY,CAAC,CAAC,IAAI4/F,IAAG,CAAC,WAAWhiH,GAAG,YAAY,OAAO,WAAW+hH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI3iG,EAAE,CAAC0iG,GAAG1iG,EAAE,KAAK,MAAMhf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4hH,IAAI5iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE/B,EAAEwC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK4E,EAAE5E,EAAE,aAAa,EAAEA,EAAE,YAAY+B,EAAE/B,EAAE,WAAW,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,iBAAiB,EAAE,MAAM,IAAI,MAAM,0EAA0EA,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,IAAIgC,EAAEtE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEiC,EAAEvE,EAAE,UAAU,IAAIsE,EAAE,MAAM,EAAE,GAAG,OAAOg+F,GAAG,EAAEriG,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIm+F,IAAG,CAAC,WAAW7hH,GAAG,YAAY,OAAO,UAAU2hH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG9iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEH,EAAE,EAAE1B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAE5B,EAAE,uBAAuB6B,EAAE,CAAC,EAAE,OAAO7B,EAAE,OAAO,IAAIA,EAAE,cAAc,CAAC,EAAE,IAAI,cAAc,iBAAiB4B,EAAE,uEAAuE,EAAEJ,EAAE,QAAQ,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI2iG,IAAG,CAAC,WAAWv5G,GAAG,YAAY,OAAO,WAAWs5G,EAAE,EAAME,GAAG,SAASC,IAAIjjG,EAAE,CAACgjG,GAAGhjG,EAAE,KAAK,MAAM3e,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6hH,IAAIljG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4DAA4D,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGW,EAAEZ,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,GAAG3B,EAAE,MAAM2B,EAAE,GAAGa,EAAEd,EAAE,EAAE,MAAME,EAAE,GAAG,EAAE,MAAMA,EAAE,GAAGa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAExF,EAAE,cAAcsE,CAAC,EAAEwE,EAAE9I,EAAE,cAAcwF,CAAC,EAAES,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAErE,EAAE,OAAOkE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACuF,EAAEzE,EAAEF,CAAC,EAAE,CAAC2E,EAAE3E,EAAEE,CAAC,EAAE+B,EAAEk+F,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAEG,EAAEi+F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ5iG,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,EAAEI,EAAE7E,EAAE,UAAU,IAAI0E,EAAE,MAAM,EAAE,GAAG2C,EAAErH,EAAE,UAAU,IAAI2E,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAEJ,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGK,EAAElD,EAAE8C,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGK,EAAE,KAAK,IAAI,EAAEoC,CAAC,EAAEnC,EAAEjF,EAAE,WAAW,CAACgF,EAAEF,EAAEC,CAAC,EAAEL,EAAE,KAAK,EAAEQ,EAAElF,EAAE,UAAU,IAAIiF,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWT,EAAE,KAAK,EAAE,MAAM,EAAEoD,EAAE,IAAI,WAAW,IAAI,WAAWnD,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOm+F,GAAGj+F,EAAEM,EAAET,EAAE,MAAM,OAAO2C,EAAES,EAAEnD,EAAE,MAAM,OAAO,EAAE9C,EAAEqD,CAAC,EAAElF,EAAE,YAAY0E,EAAE,MAAM,EAAE1E,EAAE,YAAY2E,EAAE,MAAM,EAAEM,EAAE,MAAMV,EAAEU,CAAC,CAAC,IAAIg+F,IAAG,CAAC,WAAW9hH,GAAG,YAAY,OAAO,UAAU4hH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGpjG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKE,CAAC,EAAE,QAAQC,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAEpE,GAAG,iBAAiB,EAAEsE,EAAEE,CAAC,EAAE2B,EAAEnG,GAAG,iBAAiB,EAAE,MAAM,EAAE,CAAC,EAAEoG,EAAE3B,EAAE,SAAS,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAEtC,EAAE,UAAU,IAAI4B,EAAE,MAAM,EAAE,GAAGF,EAAE,CAAC,IAAIe,EAAElH,GAAG,kBAAkB,EAAE8G,CAAC,EAAE,OAAO,EAAE,QAAQ,SAASC,EAAE,YAAYX,EAAE,MAAMc,EAAEA,EAAEtE,EAAE,cAAc,CAAC,CAAC,EAAE6B,EAAE,mBAAmB4B,CAAC,EAAE,IAAID,EAAE,SAASc,EAAEA,EAAEtE,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEyD,CAAC,CAAC,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIa,EAAEyyD,GAAGvzD,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOW,EAAE,YAAYG,EAAEb,CAAC,CAAC,IAAIW,EAAEvC,EAAE,mBAAmB4B,CAAC,EAAEY,EAAE,EAAE,MAAM,OAAO,GAAGA,IAAI,EAAEwgG,IAAIrhG,EAAEU,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEygG,IAAIthG,EAAEU,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAE0gG,IAAIvhG,EAAEU,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGE,EAAE,EAAE,CAAC,MAAM,CAAC,IAAIE,EAAEyyD,GAAGvzD,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAEY,EAAE,IAAIE,CAAC,CAAC,CAAC,OAAOb,CAAC,CAAC,SAASohG,IAAIrjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAED,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE,EAAE3B,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAEF,EAAE7B,EAAE,IAAIF,EAAE,SAAS0C,EAAEA,EAAErC,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGA,EAAE,EAAE,CAAC,CAAC,SAASijG,IAAItjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE0B,EAAE1B,EAAE,GAAG2B,EAAE3B,EAAE,GAAG4B,EAAE5B,EAAE,GAAGqC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAG,QAAQY,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,QAAQC,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE3C,EAAE+B,EAAE7B,EAAE,IAAIJ,EAAE,SAAS8C,EAAEA,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAASygG,IAAIvjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,EAAE,GAAGC,EAAE,EAAE,GAAGS,EAAE,EAAE,GAAGC,EAAEX,EAAE,EAAE,GAAGY,EAAEX,EAAE,EAAE,GAAGY,EAAEH,EAAE,EAAE,GAAGI,EAAE,EAAE,GAAG,QAAQkB,EAAEhC,EAAEgC,EAAErB,EAAEqB,IAAI,QAAQ,EAAE/B,EAAE,EAAEW,EAAE,IAAI,QAAQ0E,EAAE5E,EAAE4E,EAAEzE,EAAEyE,IAAI,CAAC,IAAI,EAAEtD,EAAE,EAAE,EAAE9D,EAAEoH,EAAElH,EAAE0C,EAAEzC,EAAE,IAAIL,EAAE,SAAS,EAAE,EAAE,EAAE,EAAE,EAAE+B,CAAC,EAAEA,GAAG,EAAE,EAAE,CAAC,CAAC,IAAIyhG,IAAG,CAAC,WAAW74G,GAAG,YAAY,OAAO,WAAWy4G,EAAE,EAAE,SAASK,IAAIzjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE2B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAEigG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAE2+F,GAAG,CAAC,OAAO,CAAC,EAAE5+F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE+B,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAEhgG,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAE0gG,GAAG,CAAC,OAAO,CAAC,EAAEp/F,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,YAAY2C,EAAE,MAAM,EAAE3C,EAAE,YAAY4C,EAAE,MAAM,EAAE5C,EAAE,YAAY2C,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI6gG,IAAG,CAAC,WAAWpiH,GAAG,YAAY,OAAO,WAAWmiH,GAAG,EAAE,SAASE,GAAG3jG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAED,EAAE,WAAW,EAAE,MAAMF,CAAC,EAAE,EAAEE,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBC,CAAC,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIujG,IAAG,CAAC,WAAWhiH,GAAG,YAAY,OAAO,WAAW+hH,EAAE,EAAME,IAAGjD,GAAG/+G,EAAE,EAAMiiH,GAAG,SAASC,IAAI/jG,EAAE,CAAC8jG,GAAG9jG,EAAE,KAAK,MAAMle,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkiH,IAAIhkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG2B,EAAE9B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAG,OAAO8hG,GAAG/hG,EAAE,EAAE,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIiiG,IAAG,CAAC,WAAWniH,GAAG,YAAY,OAAO,UAAUiiH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGlkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE5B,EAAE,eAAewB,EAAE,MAAM,KAAK,EAAE,GAAG,KAAK,EAAE,GAAGK,EAAE,EAAE,IAAIwC,GAAGA,EAAE,KAAK,EAAE7U,EAAE,uBAAuBqS,EAAED,CAAC,EAAE,IAAI,EAAEpS,EAAE,gBAAgB,EAAE,IAAI6U,GAAGA,EAAE,KAAK,EAAEzC,CAAC,EAAE,EAAE,EAAE,OAAOyC,GAAGrE,EAAE,cAAcqE,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOw+F,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQnhG,CAAC,CAAC,EAAE,IAAI6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,GAAG,KAAK,EAAE,GAAG1B,EAAE,cAAc,CAAC,IAAI,EAAE,OAAOuD,EAAE,GAAG,EAAE,GAAG,QAAQ,SAAS,CAAC,IAAIc,EAAE,EAAE,IAAI4B,GAAG,CAAC,IAAIE,EAAE,CAAC,GAAGnG,EAAE,cAAciG,EAAE,MAAM,MAAMrE,CAAC,CAAC,CAAC,EAAE,OAAO0iG,GAAG,CAAC,OAAO,CAACr+F,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE7B,EAAED,EAAE,IAAI4B,IAAI,CAAC,KAAKvE,EAAE,SAASuE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAEzW,EAAE,gBAAgB6U,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIT,EAAEnB,EAAE,GAAG,MAAM,KAAK,EAAE,EAAE8wD,GAAG7wD,EAAE,EAAE,EAAE,GAAG,MAAMkB,CAAC,EAAEsD,EAAEtZ,EAAE,gBAAgB,EAAE,IAAIyW,GAAGA,EAAE,KAAK,EAAErE,CAAC,EAAE2B,EAAE,MAAMuF,EAAE,IAAI,EAAEpH,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,OAAO,EAAE,YAAY/T,EAAE,uBAAuB,CAAC,EAAE6U,EAAE,QAAQ4B,GAAGvE,EAAE,YAAYuE,EAAE,MAAM,CAAC,EAAE1C,CAAC,CAAC,IAAIC,EAAExD,EAAE,cAAc,EAAE,GAAG,MAAM,MAAM,EAAE4B,CAAC,CAAC,EAAE6B,EAAE,EAAES,EAAE,EAAE,IAAIG,GAAG,CAAC,IAAIC,EAAEtE,EAAE,cAAcqE,EAAE,MAAM,MAAMzC,CAAC,CAAC,EAAE,OAAO6B,GAAGa,EAAEA,CAAC,CAAC,EAAEH,EAAE,EAAE,IAAIE,GAAG3C,EAAE,mBAAmB2C,CAAC,CAAC,EAAED,EAAE1C,EAAE,mBAAmB6B,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAEb,EAAEa,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAE,QAAQ+B,EAAE,EAAEA,EAAErB,EAAE,OAAOqB,IAAI,CAAC,IAAI,EAAEtB,EAAEsB,GAAGsD,EAAEzE,EAAE,EAAE,EAAEF,EAAEqB,GAAG,SAASsD,EAAEA,EAAE,CAAC,EAAE1E,EAAE,IAAI,EAAEE,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAOf,CAAC,CAAC,IAAIoiG,IAAG,CAAC,WAAWliH,GAAG,YAAY,OAAO,WAAWiiH,EAAE,EAAME,GAAG,SAASC,IAAIrkG,EAAE,CAACokG,GAAGpkG,EAAE,KAAK,MAAM9d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASoiH,IAAItkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE1C,EAAE2C,EAAE7U,EAAE,wBAAwB4U,CAAC,EAAEE,EAAE9U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEC,EAAES,EAAEC,EAAE,GAAGE,CAAC,EAAEmB,EAAElB,EAAE,aAAa,EAAEA,EAAE,YAAYwE,EAAExE,EAAE,QAAQ,IAAI,EAAEA,EAAE,QAAQ,MAAM2B,EAAE3B,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAaiC,EAAEjC,EAAE,YAAYyE,EAAEzE,EAAE,WAAWkC,EAAElC,EAAE,YAAYmC,EAAEnC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,oDAAoDA,EAAE,yCAAyC,EAAE,IAAIoC,EAAE9E,EAAE,WAAW0C,EAAE,SAAS,SAAS,EAAEqC,EAAE/E,EAAE,UAAU,IAAI8E,EAAE,MAAM,EAAE,GAAG,OAAOk/F,GAAG,EAAE/jG,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEiC,EAAE,EAAEsD,EAAE,EAAE7C,EAAEC,EAAEO,EAAEN,EAAEC,EAAEC,EAAEE,EAAEwC,EAAEvC,EAAEG,CAAC,EAAED,CAAC,CAAC,IAAIq/F,IAAG,CAAC,WAAWriH,GAAG,YAAY,OAAO,UAAUmiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIzkG,EAAE,CAACwkG,GAAGxkG,EAAE,KAAK,MAAM5d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsiH,IAAI1kG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAEH,EAAE,CAAC,QAAQ,EAAE,IAAI6B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE,EAAEC,EAAE5U,EAAE,wBAAwBgU,CAAC,EAAEa,EAAE7U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEC,EAAEZ,EAAEE,EAAE,GAAGW,CAAC,EAAE,CAAC,UAAUE,EAAE,aAAakB,EAAE,YAAY,EAAE,WAAWsD,EAAE,SAAS,EAAE,QAAQ7C,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAYE,CAAC,EAAElC,EAAE0E,EAAEvD,EAAE,EAAEnB,EAAE,QAAQ,IAAImC,EAAE,EAAE,EAAEnC,EAAE,QAAQ,KAAKoC,EAAEpC,EAAE,aAAa,eAAeqC,EAAE1G,EAAE,eAAeqE,EAAE,OAAO,EAAEsC,EAAE3G,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC+E,EAAEC,EAAE2C,CAAC,EAAExJ,EAAE,eAAe,EAAE,KAAK,EAAEiJ,EAAEvC,EAAE,GAAG+C,EAAEhD,EAAEC,EAAE,GAAGA,EAAE,GAAGgD,EAAGjD,EAAEC,EAAE,GAAG,EAAEiD,EAAGlD,EAAE,EAAEC,EAAE,GAAGkD,GAAGjD,EAAE,GAAGkD,GAAGpD,EAAEE,EAAE,GAAGA,EAAE,GAAGmD,GAAGrD,EAAEE,EAAE,GAAG,EAAEuB,GAAGzB,EAAE,EAAEE,EAAE,GAAGqD,GAAG,EAAE,WAAW3F,EAAE,QAAQ,SAAS,EAAE4F,GAAG,EAAE,UAAU,IAAID,GAAG,MAAM,EAAE,GAAGE,GAAG,EAAE,UAAU,IAAIrI,EAAE,MAAM,EAAE,GAAGsI,GAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO67F,GAAG97F,GAAGC,GAAG7F,EAAEkB,EAAE,EAAE,EAAES,EAAE6C,EAAE3C,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEI,EAAEC,EAAE2C,EAAEP,EAAEQ,EAAEC,EAAGC,EAAGC,GAAGC,GAAGC,GAAG5B,GAAG+B,EAAE,EAAED,EAAE,CAAC,IAAIm8F,IAAG,CAAC,WAAWviH,GAAG,YAAY,OAAO,UAAUqiH,IAAI,WAAWC,GAAG,EAAME,IAAGhE,GAAGp+G,EAAE,EAAMqiH,IAAGjE,GAAGn+G,EAAE,EAAMqiH,IAAI,SAAS9kG,EAAE,CAACA,EAAEA,EAAE,SAAS,GAAG,WAAWA,EAAEA,EAAE,QAAQ,GAAG,SAAS,GAAG8kG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIhlG,EAAE,CAAC+kG,GAAG/kG,EAAE,KAAK,MAAMtd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuiH,IAAIjlG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,mBAAmB,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAEV,EAAE,MAAM,GAAG,CAACW,EAAEC,CAAC,EAAE,EAAEC,EAAE,CAACH,EAAEC,EAAEC,EAAEb,EAAE,MAAM,EAAE,EAAEe,EAAE,EAAE,UAAU,IAAIf,EAAE,MAAM,EAAEiC,EAAEjC,EAAE,QAAQ,YAAYiC,EAAE2/F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE5hG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEe,EAAE,EAAE,UAAU,IAAIkB,EAAE,MAAM,GAAG,IAAI,EAAElB,EAAE,GAAGwE,EAAE,EAAE,UAAU,IAAItF,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,WAAW5B,EAAE,SAAS,EAAE6B,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW5C,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOgjG,GAAG,EAAEz9F,EAAE,EAAE5E,EAAEiC,EAAEhC,EAAEC,EAAEkiG,GAAGzkG,GAAG,EAAEqE,CAAC,EAAEV,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIygG,IAAG,CAAC,WAAWxiH,GAAG,YAAY,OAAO,UAAUsiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIplG,EAAE,CAACmlG,GAAGnlG,EAAE,KAAK,MAAMrd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0iH,IAAIrlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAO7B,EAAE,OAAO6B,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,4BAA4BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEjU,EAAE,mBAAmB,CAAC,CAAC,EAAEgU,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEphG,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,GAAG,IAAIyC,EAAE3U,EAAE,iBAAiB,EAAEgU,CAAC,EAAE,GAAGhU,EAAE,2BAA2B,UAAU,CAAC2U,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE1C,EAAE,WAAWwC,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE5C,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAGsB,EAAE9D,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGuiG,GAAGriG,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEs8F,GAAGjgG,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIqF,EAAEtZ,EAAE,uBAAuBiU,CAAC,EAAE,EAAEw/F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,MAAM,CAAC,KAAK0E,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,YAAYwC,EAAE,MAAM,EAAExC,EAAE,YAAY0C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI0iG,IAAG,CAAC,WAAW3iH,GAAG,YAAY,OAAO,UAAUyiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxlG,EAAE,CAACulG,GAAGvlG,EAAE,KAAK,MAAMpd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6iH,IAAIzlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAO7B,EAAE,OAAO6B,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,2BAA2BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEjU,EAAE,mBAAmB,CAAC,CAAC,EAAEgU,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEphG,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,GAAG,IAAIyC,EAAE3U,EAAE,iBAAiB,EAAEgU,CAAC,EAAE,GAAGhU,EAAE,2BAA2B,SAAS,CAAC2U,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE1C,EAAE,WAAWwC,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,GAAGG,EAAE5C,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAGsB,EAAE9D,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG2iG,GAAGziG,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEs8F,GAAGjgG,EAAE,MAAM,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIqF,EAAEtZ,EAAE,uBAAuBiU,CAAC,EAAE,EAAEw/F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,MAAM,CAAC,KAAK0E,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,YAAYwC,EAAE,MAAM,EAAExC,EAAE,YAAY0C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI8iG,IAAG,CAAC,WAAW9iH,GAAG,YAAY,OAAO,UAAU4iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5lG,EAAE,CAAC2lG,GAAG3lG,EAAE,KAAK,MAAMhd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6iH,IAAI7lG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAEH,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAEE,EAAE2B,EAAE1B,EAAE,MAAM,GAAG2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAEwE,EAAE,EAAE,UAAU,IAAIjH,EAAE,MAAM,EAAE,GAAGyE,EAAE,IAAI,WAAW,IAAI,WAAWtG,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEoE,EAAE,IAAI,WAAW,IAAI,WAAW3B,CAAC,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWlG,EAAE,eAAesE,CAAC,CAAC,EAAE,MAAM,EAAE6B,EAAE,EAAE,UAAU,IAAIX,EAAE,MAAM,EAAE,GAAG,OAAO2hG,GAAGr+F,EAAE,EAAE,IAAI,OAAO,EAAE,EAAExC,EAAEzE,EAAE,MAAM,OAAO,EAAEoE,EAAEC,EAAE5B,EAAE,OAAO6B,CAAC,EAAEX,CAAC,CAAC,IAAI8hG,IAAG,CAAC,WAAW9iH,GAAG,YAAY,OAAO,UAAU4iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIhmG,EAAE,CAAC+lG,GAAG/lG,EAAE,KAAK,MAAM/c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgjH,IAAIjmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEzC,EAAE0C,EAAEX,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEY,EAAE7U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEY,EAAEF,EAAEC,EAAE,EAAE,EAAEG,EAAED,EAAE,aAAamB,EAAEnB,EAAE,YAAY,EAAEA,EAAE,QAAQ,IAAIyE,EAAEzE,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYkC,EAAElC,EAAE,WAAW0E,EAAE1E,EAAE,YAAYmC,EAAEnC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,mEAAmEA,EAAE,yCAAyC,EAAE,IAAIoC,EAAE7E,EAAE,WAAWyC,EAAE,SAAS,SAAS,EAAEqC,EAAE9E,EAAE,UAAU,IAAI6E,EAAE,MAAM,EAAE,GAAG,OAAO8gG,GAAG,EAAE1lG,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAG0B,EAAEe,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEO,EAAEN,EAAEC,EAAEC,EAAEC,EAAEE,EAAEwC,EAAErC,CAAC,EAAED,CAAC,CAAC,IAAIihG,IAAG,CAAC,WAAWjjH,GAAG,YAAY,OAAO,UAAU+iH,IAAI,WAAWC,GAAG,EAAME,IAAGvF,GAAGj9G,EAAE,EAAMyiH,IAAI,GAAGC,IAAGvF,GAAGh9G,GAAGsiH,IAAI,MAAM,EAAME,IAAG1F,GAAG58G,GAAG,SAAS,EAAE,SAASuiH,GAAGvmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAEH,EAAE,EAAEG,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAIxD,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAEwD,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAE8gG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIykG,IAAG,CAAC,WAAWviH,GAAG,YAAY,OAAO,WAAWsiH,EAAE,EAAE,SAASE,GAAGzmG,EAAE,CAAC,GAAG,CAAC,MAAM,CAAC,MAAM,EAAE,MAAME,EAAE,MAAME,CAAC,EAAE,QAAQC,CAAC,EAAEL,EAAE,EAAEK,EAAE,WAAW,EAAED,CAAC,EAAE,OAAOC,EAAE,mBAAmB,CAAC,EAAE,KAAKH,CAAC,EAAE,CAAC,CAAC,IAAIwmG,IAAG,CAAC,WAAWtiH,GAAG,YAAY,OAAO,WAAWqiH,EAAE,EAAME,GAAG,SAASC,IAAI5mG,EAAE,CAAC2mG,GAAG3mG,EAAE,KAAK,MAAM3b,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwiH,IAAI7mG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,WAAWE,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEF,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,EAAEF,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,CAAC0B,EAAEC,EAAEC,EAAES,CAAC,EAAEtC,EAAE,MAAM,OAAOumG,GAAG,EAAE5kG,EAAEC,EAAEC,EAAES,EAAE,CAAC,EAAErC,CAAC,CAAC,IAAIymG,IAAG,CAAC,WAAWziH,GAAG,YAAY,OAAO,WAAWwiH,IAAI,UAAUD,GAAG,EAAMG,IAAGnG,GAAGt8G,EAAE,EAAM0iH,IAAI,GAAGC,IAAGnG,GAAGv8G,GAAGyiH,GAAG,EAAME,GAAG,SAASC,IAAInnG,EAAE,CAACknG,GAAGlnG,EAAE,KAAK,MAAMvb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2iH,IAAIpnG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,gBAAgBK,CAAC,EAAED,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,SAAS2B,EAAE,OAAOC,EAAE,MAAMC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAIb,EAAE,MAAM,EAAE,GAAGc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAEc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAOwF,EAAE,IAAI,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,OAAOkjG,GAAGxkG,EAAEC,EAAEC,EAAEC,EAAEC,EAAEzC,EAAE,CAAC,EAAE2D,CAAC,CAAC,IAAIqjG,IAAG,CAAC,WAAW5iH,GAAG,YAAY,OAAO,UAAU0iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvnG,EAAE,CAACsnG,GAAGtnG,EAAE,KAAK,MAAMtb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8iH,IAAIxnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE5C,EAAE8D,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,CAAC,EAAE,EAAE29F,GAAG19F,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAIyE,EAAElH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI4D,GAAGlI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGkI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsDA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK7D,EAAE,MAAM,IAAI,MAAM,2BAA2B6D,GAAG,wDAAwD7D,IAAI,EAAEC,EAAE4D,GAAG,EAAE,CAAC,IAAI3D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYa,EAAEb,EAAE,QAAQ,IAAIe,EAAEf,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOgB,EAAEhB,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,eAAekB,EAAElB,EAAE,cAAcmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAYqB,EAAErB,EAAE,WAAWgE,EAAEhE,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUiE,EAAEjE,EAAE,SAASkE,EAAGlE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,yDAAyDA,wBAAwB,EAAE,IAAIwF,EAAG/H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEoE,GAAGhI,EAAE,UAAU,IAAI+H,EAAG,MAAM,EAAE,GAAGE,GAAGtG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOulG,GAAGhgG,EAAEG,EAAEQ,EAAEC,EAAG,EAAEvD,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEZ,EAAE,EAAE4D,GAAGvF,GAAG,EAAEsF,EAAE,EAAED,CAAE,CAAC,IAAIs/F,IAAG,CAAC,WAAW/iH,GAAG,YAAY,OAAO,UAAU6iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3nG,EAAE,CAAC0nG,GAAG1nG,EAAE,KAAK,MAAMrb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASijH,IAAI5nG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE5C,EAAE8D,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,EAAE,EAAE,EAAE,EAAE29F,GAAG19F,GAAG,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,8EAA8E,EAAE,IAAIyE,EAAElH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI4D,GAAGlI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGkI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+DAA+DA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,KAAK7D,EAAE,MAAM,IAAI,MAAM,oCAAoC6D,GAAG,wDAAwD7D,IAAI,EAAEC,EAAE4D,GAAG,EAAE,CAAC,IAAI3D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYa,EAAEb,EAAE,QAAQ,IAAIe,EAAEf,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOgB,EAAEhB,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,eAAekB,EAAElB,EAAE,cAAcmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAYqB,EAAErB,EAAE,WAAWgE,EAAEhE,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUiE,EAAEjE,EAAE,SAASkE,EAAGlE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,kEAAkEA,wBAAwB,EAAE,IAAIwF,EAAG/H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEoE,GAAGhI,EAAE,UAAU,IAAI+H,EAAG,MAAM,EAAE,GAAGE,GAAGtG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAO2lG,GAAGpgG,EAAEG,EAAEQ,EAAEC,EAAG,EAAEvD,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEZ,EAAE,EAAE4D,GAAGvF,GAAG,EAAEsF,EAAE,EAAED,CAAE,CAAC,IAAI0/F,IAAG,CAAC,WAAWljH,GAAG,YAAY,OAAO,UAAUgjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/nG,EAAE,CAAC8nG,GAAG9nG,EAAE,KAAK,MAAMnb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASmjH,IAAIhoG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAEH,EAAE,CAAC,EAAE,EAAE6B,EAAEC,CAAC,EAAElP,GAAG,mBAAmBsN,EAAEC,CAAC,EAAE4B,EAAE,EAAE,WAAW,EAAE7B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO6B,EAAE,IAAIS,EAAErC,EAAE,MAAMsC,EAAED,EAAEA,EAAE,OAAO,GAAGG,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG4D,EAAE,IAAI,WAAW,IAAI,WAAWjC,CAAC,EAAE,MAAM,EAAEsF,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAG,OAAO6lG,GAAGjlG,EAAEy9F,GAAGlgG,EAAE,OAAO,EAAE,EAAEuC,EAAEZ,EAAEkC,EAAEqD,CAAC,EAAErF,CAAC,CAAC,IAAIgmG,IAAG,CAAC,WAAWpjH,GAAG,YAAY,OAAO,UAAUkjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAInoG,EAAE,CAACkoG,GAAGloG,EAAE,KAAK,MAAM,SAAS,KAAK,CAAC,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASooG,IAAIpoG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAEH,EAAE,CAAC,KAAK,EAAE,UAAU6B,CAAC,EAAE3B,EAAE4B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG4B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAES,EAAErC,EAAE,MAAM2B,GAAG,QAAQuF,EAAE,EAAEA,EAAEtF,EAAE,OAAO,EAAEsF,EAAE,CAAC,IAAIvC,EAAE/C,EAAEsF,GAAG/I,EAAE,OAAOwG,GAAGtC,EAAE,GAAGsC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBtC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAE3U,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAED,CAAC,EAAEa,EAAEkgG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,MAAM,CAAC,MAAM,CAACsC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEE,EAAErE,EAAE,cAAc,EAAE,KAAK,EAAEsE,EAAEggG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,CAACngG,EAAE,UAAUE,EAAEF,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEqB,EAAE,CAACrB,EAAE,UAAUA,EAAE,UAAUE,EAAEF,EAAE,UAAUA,EAAE,SAAS,EAAE,EAAE,EAAE,WAAWqB,EAAE3D,EAAE,KAAK,EAAE,GAAG7B,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIiH,EAAE1E,EAAE,MAAM,OAAO,EAAE6B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,IAAI,WAAW,IAAI,WAAWrG,EAAE,eAAeoE,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEmC,EAAE,IAAI,WAAW,IAAI,WAAWvG,EAAE,eAAewF,CAAC,CAAC,EAAE,MAAM,EAAE,OAAOkkG,GAAGzjG,EAAE67F,GAAGjgG,EAAE,OAAOwE,EAAEyC,EAAE3C,EAAEhC,EAAE,UAAUoC,EAAEH,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,EAAE,MAAMH,EAAE,YAAY,CAAC,CAAC,IAAI0lG,IAAG,CAAC,WAAWvjH,GAAG,YAAY,OAAO,UAAUqjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGzH,GAAG97G,GAAGsjH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3H,GAAG77G,GAAGujH,IAAI,MAAM,EAAME,IAAG9H,GAAGn7G,GAAG,MAAM,EAAMkjH,GAAG,SAASC,IAAI5oG,EAAE,CAAC2oG,GAAG3oG,EAAE,KAAK,MAAMja,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8iH,IAAI7oG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAE,WAAW,EAAE,MAAM,SAAS,EAAE,GAAG5B,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI,EAAE4B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGuoG,GAAGtoG,EAAEigG,GAAG,EAAE,OAAOpgG,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI4oG,IAAG,CAAC,WAAW/iH,GAAG,YAAY,OAAO,UAAU6iH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGlI,GAAG96G,GAAG+iH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAGpI,GAAG76G,GAAGgjH,IAAI,MAAM,EAAME,IAAGvI,GAAGz6G,EAAE,EAAMijH,IAAI,GAAGC,IAAGvI,GAAGx6G,GAAG8iH,IAAI,MAAM,EAAME,IAAG1I,GAAGr6G,EAAE,EAAMgjH,IAAI,GAAGC,IAAG1I,GAAGt6G,GAAG+iH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG5I,GAAGr6G,GAAGgjH,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI5pG,EAAE,CAAC2pG,GAAG3pG,EAAE,KAAK,MAAMpZ,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASijH,IAAI7pG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,iBAAiBK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG6kG,GAAG3nG,EAAEs+F,GAAG,EAAE,OAAOh5F,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIglG,IAAG,CAAC,WAAWljH,GAAG,YAAY,OAAO,UAAUgjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGlJ,GAAG55G,GAAG6iH,GAAG,EAAME,GAAG,SAASC,IAAIlqG,EAAE,CAACiqG,GAAGjqG,EAAE,KAAK,MAAMnZ,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsjH,IAAInqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG7B,EAAE,OAAO6B,EAAE,QAAQ,UAAU,IAAI,0DAA0DA,EAAE,QAAQ,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE/B,EAAEwC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK4E,EAAE5E,EAAE,eAAe,EAAEA,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYiC,EAAEjC,EAAE,WAAWkC,EAAElC,EAAE,YAAY,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,IAAImC,EAAEzE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEqC,EAAE3E,EAAE,UAAU,IAAIyE,EAAE,MAAM,EAAE,GAAG,OAAOolG,GAAG,EAAE5pG,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGA,EAAE,MAAM,GAAGsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEC,EAAEC,EAAEC,EAAEG,CAAC,EAAEF,CAAC,CAAC,IAAIulG,IAAG,CAAC,WAAWvjH,GAAG,YAAY,OAAO,UAAUqjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAItqG,EAAE,CAACqqG,GAAGrqG,EAAE,KAAK,MAAM7Y,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASojH,IAAIvqG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI6B,EAAE,EAAE,UAAU,IAAIhC,EAAE,MAAM,EAAE,GAAGgC,IAAI3C,IAAIE,EAAES,EAAEV,EAAE0C,EAAE5B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,OAAO8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAEyD,EAAEA,EAAE,QAAQ,YAAY,EAAE0hG,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE1hG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAED,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAI,IAAIyC,EAAE,EAAE,WAAWT,EAAE,SAAS,EAAE,GAAGxF,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIyC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG4lG,GAAGroG,EAAEsF,EAAE5C,CAAC,CAAC,CAAC,GAAG7B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAIgC,EAAE1W,EAAE,qBAAqByW,EAAE,MAAM7B,CAAC,EAAE6B,EAAE,MAAMC,CAAC,CAAC,OAAOzC,EAAE,QAAQ,WAAW,EAAE,YAAY,EAAE,MAAM,EAAEwC,CAAC,CAAC,IAAI+lG,IAAG,CAAC,WAAWrjH,GAAG,YAAY,OAAO,UAAUmjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1qG,EAAE,CAACyqG,GAAGzqG,EAAE,KAAK,MAAM5Y,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASujH,IAAI3qG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE,CAAC,IAAI3B,EAAEb,EAAE,MAAM,OAAOjU,EAAE,2BAA2B,MAAM2U,EAAEG,CAAC,EAAE,GAAG,CAACkB,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMU,CAAC,EAAE2E,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGgmG,GAAGzoG,EAAEs+F,GAAG,EAAE,OAAOh5F,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAImmG,IAAG,CAAC,WAAWxjH,GAAG,YAAY,OAAO,UAAUsjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGhK,GAAGz5G,GAAGwjH,GAAG,EAAME,IAAI,SAAS/qG,EAAE,CAACA,EAAEA,EAAE,QAAQ,GAAG,UAAUA,EAAEA,EAAE,UAAU,GAAG,WAAW,GAAG+qG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIjrG,EAAE,CAACgrG,GAAGhrG,EAAE,KAAK,MAAM1Y,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4jH,IAAIlrG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASE,EAAE,KAAKC,CAAC,CAAC,EAAEL,EAAE,EAAEI,EAAE,IAAI,CAAC0C,EAAEkB,IAAIlB,EAAE,GAAG,EAAE,MAAMkB,GAAGlB,EAAE,EAAE,EAAE,EAAE5C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE8B,EAAE9B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAES,EAAEtC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEH,EAAEvC,EAAE,IAAI0C,GAAGA,EAAE,EAAE,EAAEF,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEG,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOqoG,GAAG,EAAE/oG,EAAE,EAAE,MAAM,OAAOq+F,GAAG,EAAE,OAAO19F,EAAEC,EAAEkoG,GAAG1qG,GAAG2B,CAAC,EAAED,CAAC,CAAC,IAAIopG,IAAG,CAAC,WAAW7jH,GAAG,YAAY,OAAO,WAAW4jH,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGvK,GAAGp5G,GAAG0jH,GAAG,EAAME,IAAG1K,GAAGj5G,EAAE,EAAE,SAAS4jH,GAAGvrG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,KAAK,OAAO,OAAO,EAAE,CAAC,EAAEI,EAAEF,EAAE,GAAGG,EAAEH,EAAE,GAAG,EAAEA,EAAE,GAAG,EAAEA,EAAE,GAAG,OAAOF,EAAE,KAAK,MAAM,CAAC,EAAE,CAAC,iBAAiBI,EAAE,aAAaC,EAAE,gBAAgB,EAAE,cAAc,CAAC,CAAC,CAAC,IAAImrG,GAAG,SAASC,IAAIzrG,EAAE,CAACwrG,GAAGxrG,EAAE,KAAK,MAAMpY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8jH,IAAI1rG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,OAAOC,CAAC,EAAE9B,EAAE+B,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE6oG,GAAGvpG,EAAES,EAAE,EAAErC,EAAE,CAAC,EAAE,CAAC,iBAAiBuC,EAAE,aAAaC,EAAE,gBAAgBC,EAAE,cAAckB,CAAC,EAAEunG,GAAG,EAAE5oG,CAAC,EAAE,OAAO,EAAE,KAAK,MAAMG,CAAC,EAAE,EAAE,KAAK,MAAMkB,CAAC,EAAE,EAAE,WAAW,CAACnB,CAAC,EAAE,QAAQD,CAAC,CAAC,CAAC,IAAI+oG,IAAG,CAAC,WAAW/jH,GAAG,YAAY,OAAO,UAAU6jH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI7rG,EAAE,CAAC4rG,GAAG5rG,EAAE,KAAK,MAAMnY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,MAAM,CAAC,CAAC,CAAC,SAASikH,IAAI9rG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,EAAE,mBAAmB0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEgpG,GAAGlpG,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEunG,GAAG,EAAE3oG,CAAC,EAAE,EAAE,KAAK,MAAMoB,CAAC,EAAE,IAAIsD,EAAE,EAAE,WAAW,CAACxE,CAAC,EAAE,QAAQD,CAAC,EAAE,EAAE,EAAE,WAAW,CAAC,EAAE,QAAQ,CAAC,EAAE,MAAM,CAACyE,EAAE,CAAC,CAAC,CAAC,IAAIykG,IAAG,CAAC,WAAWlkH,GAAG,YAAY,OAAO,UAAUgkH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIjsG,EAAE,CAACgsG,GAAGhsG,EAAE,KAAK,MAAMlY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASokH,IAAIlsG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEopG,GAAGtpG,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEunG,GAAG,EAAE3oG,CAAC,EAAE,EAAE,KAAK,MAAM,CAAC,EAAE,IAAI0E,EAAE,EAAE,WAAW,CAACxE,CAAC,EAAE,QAAQD,CAAC,EAAE,EAAE,EAAE,WAAW,CAACC,CAAC,EAAE,UAAUkB,CAAC,EAAE,MAAM,CAACsD,EAAE,CAAC,CAAC,CAAC,IAAI6kG,IAAG,CAAC,WAAWrkH,GAAG,YAAY,OAAO,UAAUmkH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGvL,GAAG/4G,GAAGqkH,IAAI,MAAM,EAAME,GAAG,SAASC,IAAIvsG,EAAE,CAACssG,GAAGtsG,EAAE,KAAK,MAAM/X,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASukH,IAAIxsG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,WAAW,CAAC,GAAGG,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEqC,EAAExC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,OAAOisG,GAAG1pG,EAAE,EAAEb,EAAEC,EAAEU,CAAC,EAAET,CAAC,CAAC,IAAIwqG,IAAG,CAAC,WAAWxkH,GAAG,YAAY,OAAO,UAAUskH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI1sG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAIusG,IAAG,CAAC,WAAWzkH,GAAG,YAAY,OAAO,WAAWwkH,GAAG,EAAE,SAASE,IAAI5sG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOmmG,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,EAAE,EAAE,QAAQrmG,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,GAAG,MAAM,EAAE,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAE4jG,GAAG,CAAC,OAAO,CAAC,MAAM7jG,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAEiiG,GAAG,CAAC,OAAOliG,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,YAAYwC,EAAE,MAAM,CAAC,EAAET,CAAC,CAAC,IAAI4qG,IAAG,CAAC,WAAWxkH,GAAG,YAAY,OAAO,WAAWukH,GAAG,EAAME,GAAG,SAASC,IAAI/sG,EAAE,CAAC8sG,GAAG9sG,EAAE,KAAK,MAAM1X,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0kH,IAAIhtG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASE,EAAE,cAAcC,CAAC,CAAC,EAAEL,EAAE,EAAEI,EAAE,IAAI,CAAC4D,EAAEC,IAAID,EAAE,GAAG,EAAE,MAAMC,GAAGD,EAAE,EAAE,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAOioG,GAAG,CAAC,QAAQvmG,EAAE,MAAM,CAAC,MAAM,EAAE,MAAMG,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAEH,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,EAAEA,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEtC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEpB,EAAExC,EAAE,IAAI4D,GAAGA,EAAE,EAAE,EAAEnB,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOkqG,GAAG,EAAEpqG,EAAE,EAAE,MAAM,OAAO49F,GAAG,EAAE,OAAOz9F,EAAEC,EAAEzC,EAAE,CAAC,EAAE0B,CAAC,CAAC,IAAIkrG,GAAG,CAAC,WAAW3kH,GAAG,YAAY,OAAO,WAAW0kH,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGrM,GAAGt4G,GAAG0kH,GAAG,EAAME,GAAG,SAASC,IAAIrtG,EAAE,CAACotG,GAAGptG,EAAE,KAAK,MAAMvX,GAAG,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6kH,IAAIttG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,EAAEF,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG0B,EAAE,EAAEC,EAAE5B,EAAE6B,EAAED,EAAEA,EAAE,QAAQ,YAAYC,EAAE0hG,GAAG,CAAC,QAAQzjG,EAAE,OAAO,CAAC,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2B,EAAE7B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,IAAI,IAAIS,EAAExC,EAAE,WAAWE,EAAE,MAAM,SAAS,EAAEuC,EAAEzC,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAG,OAAO0qG,GAAGrrG,EAAE,EAAEY,CAAC,EAAEX,EAAE,QAAQ,WAAW9B,EAAE,YAAY+B,EAAE,MAAM,EAAES,CAAC,CAAC,IAAI6qG,IAAG,CAAC,WAAW9kH,GAAG,YAAY,OAAO,UAAU4kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIztG,EAAE,CAACwtG,GAAGxtG,EAAE,KAAK,MAAMtX,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASglH,IAAI1tG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,OAAO8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+oG,GAAGxrG,EAAEsF,EAAEg5F,GAAG,EAAE,OAAO77F,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIkpG,IAAG,CAAC,WAAWjlH,GAAG,YAAY,OAAO,UAAU+kH,IAAI,WAAWC,GAAG,EAAME,IAAI5tG,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEH,EAAE6B,EAAEmzD,GAAG90D,EAAEC,EAAE,EAAE,CAAC,EAAE2B,EAAE,EAAE,WAAW,CAACD,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,EAAE,mBAAmBC,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,EAAE6rG,IAAG,CAAC,WAAW7kH,GAAG,YAAY,OAAO,WAAW4kH,GAAG,EAAME,IAAI,GAAGC,IAAGjN,GAAG33G,GAAG2kH,GAAG,EAAME,IAAGpN,GAAGx3G,EAAE,EAAM6kH,IAAGrN,GAAGt3G,EAAE,EAAM4kH,IAAGtN,GAAGr3G,EAAE,EAAM4kH,GAAG,SAASC,IAAIpuG,EAAE,CAACmuG,GAAGnuG,EAAE,KAAK,MAAMvW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4kH,IAAIruG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAEH,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK6B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAE,EAAE2D,EAAE,QAAQ,YAAY,EAAE2/F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEtjG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAG,IAAIsD,EAAEtD,EAAE,GAAG,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAGtE,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIoE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO0pG,GAAG7mG,EAAE5E,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE,GAAG,MAAM,EAAE,YAAY,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI6pG,IAAG,CAAC,WAAW7kH,GAAG,YAAY,OAAO,UAAU2kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxuG,EAAE,CAACuuG,GAAGvuG,EAAE,KAAK,MAAMrW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8kH,IAAIzuG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAEH,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK6B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAGtE,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO2D,EAAE,IAAI,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAEiH,EAAE,EAAE,QAAQ,YAAYA,EAAEq8F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEtjG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,EAAE,UAAU,IAAIiH,EAAE,MAAM,GAAG,IAAI,EAAE,EAAE,GAAG7C,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOuqG,GAAG,EAAE7rG,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE6C,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAEtD,CAAC,CAAC,IAAI0qG,IAAG,CAAC,WAAW/kH,GAAG,YAAY,OAAO,UAAU6kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5uG,EAAE,CAAC2uG,GAAG3uG,EAAE,KAAK,MAAMnW,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASglH,IAAI7uG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAOghG,GAAG,CAAC,OAAO,CAAC,EAAEhhG,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI6B,EAAE7B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE2B,EAAE9B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG4B,EAAE/B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWtC,EAAE,KAAK,EAAE,MAAM,EAAEsuG,GAAG3sG,EAAEU,EAAE,EAAE,OAAOC,EAAEtC,EAAE,MAAM,OAAO4B,CAAC,EAAE,IAAIW,EAAEkgG,GAAG,CAAC,OAAO,CAAC,EAAE/gG,CAAC,EAAE,MAAM,CAAC,MAAM1B,EAAE,KAAK,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAOA,EAAE,YAAY6B,EAAE,MAAM,EAAEa,CAAC,CAAC,IAAIksG,IAAG,CAAC,WAAWjlH,GAAG,YAAY,OAAO,WAAWglH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAIhvG,EAAE,CAAC+uG,GAAG/uG,EAAE,KAAK,MAAMlW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASmlH,IAAIjvG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU,EAAE,OAAO0B,CAAC,EAAE3B,EAAE4B,EAAE9B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGqC,EAAExC,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAG,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM,CAAC2D,EAAE,CAAC,EAAEhW,EAAE,eAAe+T,EAAEa,EAAEC,CAAC,EAAEyE,EAAE,IAAI,EAAE,EAAE,IAAI7C,EAAE,OAAO,GAAG,SAAS,CAAC,EAAE,EAAE,EAAE6C,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE5C,EAAE,IAAI,WAAW,IAAI,WAAWD,CAAC,EAAE,MAAM,EAAE,OAAOsqG,GAAG9sG,EAAEU,EAAEC,EAAEC,EAAEC,EAAE,EAAEkB,EAAE,EAAEU,EAAED,EAAE,OAAO/B,CAAC,EAAEV,CAAC,CAAC,IAAIktG,IAAG,CAAC,WAAWplH,GAAG,YAAY,OAAO,WAAWmlH,IAAI,UAAUD,GAAG,EAAMG,IAAGvO,GAAG72G,EAAE,EAAMqlH,IAAGxO,GAAG52G,EAAE,EAAMqlH,GAAG,SAASC,IAAItvG,EAAE,CAACqvG,GAAGrvG,EAAE,KAAK,MAAM9V,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASqlH,IAAIvvG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAE2B,EAAE,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,GAAGvD,EAAE,cAAc,CAAC,IAAI,EAAE,OAAOuD,EAAE,GAAG,CAAC,UAAUC,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEvI,GAAG,gBAAgB,EAAEgG,EAAE,CAAC,EAAEyC,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG4D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqD,EAAE,IAAI,WAAW,IAAI,WAAW3E,CAAC,EAAE,MAAM,EAAEmC,EAAE,EAAE,UAAU,IAAI/C,EAAE,MAAM,EAAE,GAAG,OAAOstG,GAAGvsG,EAAEmB,EAAEq8F,GAAG,EAAE,OAAOt+F,EAAEC,EAAES,EAAE4E,EAAE1E,EAAEkC,CAAC,EAAE/C,CAAC,CAAC,IAAIytG,IAAG,CAAC,WAAWtlH,GAAG,YAAY,OAAO,UAAUolH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1vG,EAAE,CAACyvG,GAAGzvG,EAAE,KAAK,MAAM,WAAW,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2vG,IAAI3vG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG2B,EAAE7B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG2B,EAAE9B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAEqC,EAAExC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGU,EAAEvC,EAAE,MAAM,OAAOwC,EAAEvC,EAAE,MAAM,OAAOwC,EAAEF,IAAI,GAAGA,EAAE,GAAGC,IAAI,EAAE,EAAEpE,EAAE,cAAc6B,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAOovG,GAAG,EAAE1tG,EAAEC,EAAEa,EAAEH,CAAC,EAAET,CAAC,CAAC,IAAI2tG,IAAG,CAAC,WAAWxlH,GAAG,YAAY,OAAO,WAAWulH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI9vG,EAAE,CAAC6vG,GAAG7vG,EAAE,KAAK,MAAMzV,GAAG,KAAK,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwlH,IAAI/vG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEE,CAAC,CAAC,EAAEF,EAAEI,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,WAAWH,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,OAAO7B,EAAE,cAAc6B,EAAE,KAAK,IAAI,GAAGwvG,GAAGzvG,EAAE,CAAC,EAAEC,CAAC,CAAC,IAAI2vG,IAAG,CAAC,WAAW,UAAU,YAAY,OAAO,UAAUF,IAAI,WAAWC,GAAG,EAAME,IAAGrP,GAAGn2G,EAAE,EAAMylH,GAAG,SAASC,IAAInwG,EAAE,CAACkwG,GAAGlwG,EAAE,KAAK,MAAMpV,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwlH,IAAIpwG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,OAAOE,CAAC,EAAE,MAAM,CAAC,IAAIE,CAAC,CAAC,EAAEJ,EAAEK,EAAE,EAAE,UAAU,IAAIH,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWA,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,MAAME,GAAG4B,EAAExD,EAAE,cAAc0B,EAAE,KAAK,EAAE6B,EAAE,OAAOvD,EAAE,cAAc,EAAE,KAAK,IAAI,GAAG0xG,GAAG7vG,EAAE,EAAE0B,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAIquG,IAAG,CAAC,WAAWzlH,GAAG,YAAY,OAAO,UAAUulH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAItwG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEgrG,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE5sG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE1U,EAAE,YAAYiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE3U,EAAE,YAAY0U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE5U,EAAE,oBAAoBiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAE+gG,GAAG,CAAC,OAAO,CAAC,EAAE7gG,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEoC,EAAE28F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQvhG,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAEgC,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQ5E,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,YAAY+B,EAAE,MAAM,EAAE/B,EAAE,YAAY,EAAE,MAAM,EAAEA,EAAE,YAAY4E,EAAE,MAAM,EAAEH,CAAC,CAAC,IAAI4rG,IAAG,CAAC,WAAWzlH,GAAG,YAAY,OAAO,WAAWwlH,GAAG,EAAME,GAAG,SAASC,IAAIzwG,EAAE,CAACwwG,GAAGxwG,EAAE,KAAK,MAAM,sBAAsB,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0wG,IAAI1wG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAEH,EAAE6B,EAAE3B,EAAE,MAAM,GAAG4B,EAAE5B,EAAE,MAAM,GAAG6B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,GAAGS,EAAE,CAACX,EAAEE,EAAED,CAAC,EAAEW,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAWJ,EAAEtC,EAAE,KAAK,EAAE4D,EAAE,EAAE,UAAU,IAAIlB,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWJ,EAAE,MAAM,EAAE,CAAC,EAAErC,EAAE,KAAK,EAAEiH,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAW,CAACrF,CAAC,EAAE,MAAM,EAAEwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAW,CAAC3C,CAAC,EAAE3B,EAAE,KAAK,EAAEuE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAEyrG,GAAG7tG,EAAEC,EAAE09F,GAAGjgG,EAAE,OAAO0B,EAAEE,EAAED,EAAEa,EAAEmB,EAAEsD,EAAE7C,EAAEE,EAAEE,CAAC,EAAE0C,EAAE,EAAE,SAAS3C,EAAE,MAAM,EAAEI,EAAE,OAAOuC,EAAE,GAAG,CAAC,IAAK,GAAE,CAACvC,EAAEhX,EAAE,gDAAgDuZ,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAACvC,EAAEhX,EAAE,gDAAgDuZ,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAEvC,EAAEhX,EAAE,kDAAkDuZ,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQvC,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYJ,EAAE,MAAM,EAAEI,EAAE,MAAM,EAAE,YAAYlC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY4B,EAAE,MAAM,EAAE,IAAI,MAAMM,CAAC,EAAE,IAAIC,EAAEnC,EAAEoC,EAAE,EAAE,OAAOH,IAAIrC,EAAE,KAAKuC,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEtgG,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACiC,EAAE/C,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEkD,EAAEk+F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKr+F,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAE,EAAE,YAAYjC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,GAAG,CAACmC,EAAEC,EAAE,EAAER,CAAC,CAAC,CAAC,IAAIisG,IAAG,CAAC,WAAW5lH,GAAG,YAAY,OAAO,UAAU0lH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI7wG,EAAE,CAAC4wG,GAAG5wG,EAAE,KAAK,MAAMhV,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8lH,IAAI9wG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAEH,EAAE,GAAGE,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACz04CA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI1B,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE7B,EAAE,MAAM,GAAGsC,EAAElE,EAAE,cAAc,EAAE,KAAK,EAAEmE,EAAE,EAAE,WAAW,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAEwC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAACH,CAAC,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG4sG,GAAG,EAAE7uG,EAAEC,EAAEC,EAAEW,EAAEE,EAAE,CAAC,EAAE,IAAIwE,EAAE,EAAE,SAAStD,EAAE,MAAM,EAAE,EAAE,OAAOsD,EAAE,GAAG,CAAC,IAAK,GAAE,CAAC,EAAEtZ,EAAE,yDAAyDsZ,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,EAAEtZ,EAAE,8CAA8CsZ,EAAE,GAAGA,EAAE,EAAE,EAAE,KAAK,CAAC,IAAK,GAAE,EAAEtZ,EAAE,qDAAqD,EAAE,MAAM,IAAK,GAAE,CAAC,IAAIyW,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAE,EAAE7U,EAAE,gDAAgDyW,EAAEC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,IAAID,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAE,EAAE7U,EAAE,gDAAgDyW,EAAEC,CAAC,EAAE,KAAK,CAAC,QAAQ,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAE,EAAE,MAAM,EAAE,YAAYrB,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,IAAI,MAAM,CAAC,EAAE,MAAM,CAACF,EAAEE,CAAC,CAAC,CAAC,IAAIkuG,IAAG,CAAC,WAAW/lH,GAAG,YAAY,OAAO,UAAU6lH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,GAAGjxG,EAAE,CAACgxG,GAAGhxG,EAAE,KAAK,MAAM,yBAAyB,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkxG,GAAGlxG,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQE,EAAE,OAAOE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,QAAQ,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE,EAAE,MAAM,GAAGC,EAAE9B,EAAE,SAAS,EAAE,OAAO6B,EAAE,EAAEA,CAAC,EAAE,GAAGW,EAAEX,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGU,EAAE,EAAE,MAAM,IAAI,MAAM1U,EAAE,wDAAwD,CAAC,EAAE,IAAI,EAAEqS,EAAE,MAAM,MAAM,EAAE,EAAE,GAAGqC,EAAE,IAAIE,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGwC,EAAE3C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG4C,EAAE5C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8D,EAAE9D,EAAE,WAAW,EAAEG,EAAE,KAAK,EAAE4D,EAAE/D,EAAE,UAAU,IAAI8D,EAAE,MAAM,EAAE,GAAGsD,EAAEpH,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE4E,EAAE5E,EAAE,UAAU,IAAIoH,EAAE,MAAM,EAAE,GAAG0pG,GAAGpuG,EAAE09F,GAAGjgG,EAAE,OAAOA,EAAE,MAAM,GAAGwC,EAAEC,EAAEmB,EAAEa,EAAE,EAAE,CAAC,EAAE,IAAIL,EAAEvE,EAAE,SAASoH,EAAE,MAAM,EAAE5C,EAAE,OAAOD,EAAE,GAAG,CAAC,IAAK,GAAE,CAACC,EAAE1W,EAAE,wDAAwD,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC0W,EAAE1W,EAAE,6DAA6D,EAAE,KAAK,CAAC,IAAK,GAAE0W,EAAE1W,EAAE,yDAAyDyW,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,IAAK,GAAEC,EAAE1W,EAAE,uDAAuDyW,EAAE,GAAGA,EAAE,GAAGA,EAAE,EAAE,EAAE,MAAM,QAAQC,EAAE,EAAE,CAAC,GAAGxE,EAAE,YAAYoH,EAAE,MAAM,EAAE5C,EAAE,MAAMxE,EAAE,YAAY8D,EAAE,MAAM,EAAE,IAAI,MAAMU,CAAC,EAAE,OAAOV,CAAC,CAAC,SAASmtG,IAAInxG,EAAE,CAAC,OAAOkxG,GAAGlxG,EAAE,EAAE,CAAC,CAAC,IAAIoxG,IAAG,CAAC,WAAWnmH,GAAG,YAAY,OAAO,UAAUgmH,GAAG,WAAWE,GAAG,EAAE,SAASE,IAAIrxG,EAAE,CAAC,OAAOkxG,GAAGlxG,EAAE,EAAE,CAAC,CAAC,IAAIsxG,IAAG,CAAC,WAAWpmH,GAAG,YAAY,OAAO,UAAU+lH,GAAG,WAAWI,GAAG,EAAE,SAASE,IAAIvxG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAEH,EAAE6B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,GAAGY,EAAE,IAAIE,EAAEugG,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,KAAKW,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAO6B,EAAEF,IAAIY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAI2uG,IAAG,CAAC,WAAWpmH,GAAG,YAAY,OAAO,WAAWmmH,GAAG,EAAME,IAAG7Q,GAAGv1G,EAAE,EAAMqmH,IAAG9Q,GAAGt1G,EAAE,EAAMqmH,IAAI,GAAGC,IAAG9Q,GAAGv1G,GAAGomH,GAAG,EAAME,GAAG,SAASC,IAAI9xG,EAAE,CAAC6xG,GAAG7xG,EAAE,KAAK,MAAMxU,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASumH,IAAI/xG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAO8vG,GAAG,EAAExxG,EAAEigG,GAAG,EAAE,OAAOt+F,CAAC,EAAED,CAAC,CAAC,IAAIiwG,IAAG,CAAC,WAAWxmH,GAAG,YAAY,OAAO,UAAUsmH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlyG,EAAE,CAACiyG,GAAGjyG,EAAE,KAAK,MAAMvU,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,QAAQ,QAAQ,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0mH,IAAInyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAEH,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ6B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEhJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEG,EAAEu+F,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKuE,CAAC,CAAC,CAAC,EAAED,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEj+F,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM/B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY+B,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAEgC,EAAE,EAAE,UAAU,IAAIxE,EAAE,MAAM,EAAE,GAAG0E,EAAE,IAAI,WAAW,IAAI,WAAWvG,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkH,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEvC,EAAE,IAAI,WAAW,IAAI,WAAWP,CAAC,EAAE,MAAM,EAAEQ,EAAE,IAAI,WAAW,IAAI,WAAWP,CAAC,EAAE,MAAM,EAAEQ,EAAE,IAAI,WAAW,IAAI,WAAWrC,CAAC,EAAE,MAAM,EAAEsC,EAAE,IAAI,WAAW,IAAI,WAAW3G,EAAE,eAAeqE,CAAC,CAAC,EAAE,MAAM,EAAEuC,EAAE,EAAE,UAAU,IAAIR,EAAE,MAAM,EAAE,GAAGqtG,GAAGptG,EAAEE,EAAE1E,EAAE,MAAM,OAAOkH,EAAEvC,EAAEC,EAAEC,EAAEC,EAAEtC,EAAE,OAAOuC,CAAC,EAAET,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEl+F,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM9B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY8B,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIytG,IAAG,CAAC,WAAW3mH,GAAG,YAAY,OAAO,UAAUymH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIryG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,WAAW,CAAC,EAAEH,EAAE,CAAC,UAAU,EAAE,YAAY6B,EAAE,QAAQC,EAAE,SAASC,EAAE,SAASS,EAAE,uBAAuBC,CAAC,EAAEvC,EAAEwC,EAAE,EAAE,SAASvC,EAAE,MAAM,EAAEwC,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAEkB,CAAC,EAAE8xD,GAAGlzD,EAAEC,EAAE,EAAEd,EAAEC,EAAEC,EAAES,EAAEC,CAAC,EAAE,EAAE,EAAE,WAAW,CAACG,EAAE,MAAM,EAAE,QAAQ,EAAEwE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAEA,EAAE,YAAYxE,EAAE,IAAI,EAAE,EAAE,WAAW,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB,CAAC,EAAE,IAAIkB,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIsuG,IAAG,CAAC,WAAW5mH,GAAG,YAAY,OAAO,WAAW2mH,GAAG,EAAE,SAASE,IAAIvyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,UAAU,CAAC,EAAEH,EAAE,CAAC,UAAU,CAAC,EAAEE,EAAE2B,EAAE,EAAE,SAAS1B,EAAE,MAAM,EAAE2B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAES,EAAEC,CAAC,EAAEozD,GAAGh0D,EAAEC,EAAE,GAAG,CAAC,EAAEY,EAAEF,EAAE,OAAOG,EAAE,EAAE,WAAW,CAACD,EAAE,CAAC,EAAE,OAAO,EAAE,EAAE,mBAAmBC,CAAC,EAAE,IAAIZ,CAAC,EAAE,IAAI+B,EAAE,EAAE,WAAW,CAACpB,CAAC,EAAE,QAAQ,EAAEqB,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAEC,EAAE,YAAYvB,EAAE,IAAI4E,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAI3E,CAAC,EAAE,CAACE,EAAEmB,EAAEsD,CAAC,CAAC,CAAC,IAAIkrG,IAAG,CAAC,WAAW7mH,GAAG,YAAY,OAAO,WAAW4mH,GAAG,EAAE,SAASE,IAAIzyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAEH,EAAE,CAAC,WAAW,CAAC,EAAEE,EAAE,EAAE,EAAE,SAASC,EAAE,MAAM,EAAE0B,EAAEi0D,GAAG,EAAE,CAAC,EAAEh0D,EAAE,EAAE,WAAW3B,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB2B,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,CAAC,IAAI0wG,IAAG,CAAC,WAAW9mH,GAAG,YAAY,OAAO,WAAW6mH,GAAG,EAAME,IAAI,GAAGC,IAAG9R,GAAGj1G,GAAG8mH,GAAG,EAAME,GAAG,SAASC,IAAI9yG,EAAE,CAAC6yG,GAAG7yG,EAAE,KAAK,MAAMlU,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinH,IAAI/yG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,MAAM8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGouG,GAAG7wG,EAAEsF,EAAEg5F,GAAG,EAAE,OAAO77F,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIuuG,IAAG,CAAC,WAAWlnH,GAAG,YAAY,OAAO,UAAUgnH,IAAI,WAAWC,GAAG,EAAME,IAAGrS,GAAG50G,EAAE,EAAMknH,IAAGtS,GAAG30G,EAAE,EAAMknH,GAAG,SAASC,IAAIpzG,EAAE,CAACmzG,GAAGnzG,EAAE,KAAK,MAAM5T,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinH,IAAIrzG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI,MAAM1B,EAAE,MAAM,MAAM,EAAE,QAAQuC,EAAE,EAAEA,EAAEb,EAAE,OAAOa,IAAIb,EAAEa,GAAGvC,EAAE,MAAMuC,GAAG,EAAEA,GAAG,IAAIZ,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEW,EAAExC,EAAE,WAAW6B,EAAE1B,EAAE,KAAK,EAAEsC,EAAEzC,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAG,OAAOywG,GAAG,EAAEnxG,EAAE3B,EAAE,MAAM,OAAO4B,EAAEF,EAAE,OAAOu+F,GAAG59F,EAAE,OAAOC,CAAC,EAAED,CAAC,CAAC,IAAI4wG,IAAG,CAAC,WAAWlnH,GAAG,YAAY,OAAO,UAAUgnH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxzG,EAAE,CAACuzG,GAAGvzG,EAAE,KAAK,MAAM3T,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,OAAO,SAAS,QAAQ,CAAC,CAAC,CAAC,IAAIonH,IAAI,CAAC,CAAC,OAAOzzG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAEH,EAAE,EAAE,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG2B,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,MAAM,MAAM,EAAE4B,EAAEA,EAAE,OAAO,GAAG3B,EAAE,IAAI4B,EAAE,EAAE,WAAWD,EAAE5B,EAAE,KAAK,EAAEsC,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAGU,EAAE,EAAE,WAAWX,EAAE,OAAO,EAAEY,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAO4wG,GAAG,EAAExxG,EAAE3B,EAAE,MAAM,OAAOkgG,GAAGlgG,EAAE,OAAOC,EAAE,EAAEqC,EAAEE,CAAC,EAAE,CAACX,EAAEU,CAAC,CAAC,EAAE+wG,IAAG,CAAC,WAAWrnH,GAAG,YAAY,OAAO,UAAUmnH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5zG,EAAE,CAAC2zG,GAAG3zG,EAAE,KAAK,MAAM1T,GAAG,KAAK,CAAC,SAAS,SAAS,OAAO,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASunH,IAAI7zG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAEH,EAAE,CAAC,cAAc,EAAE,SAAS6B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE,IAAI,WAAW,IAAI,WAAW9I,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW7B,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,EAAEiG,EAAE,EAAE,WAAW,EAAEpE,EAAE,KAAK,EAAEqE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,UAAU,IAAIvE,EAAE,MAAM,EAAE,GAAG0E,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGwC,EAAE,IAAI,UAAU,EAAE,EAAEvC,EAAE,OAAOjD,EAAE,CAAC,IAAI,WAAWiD,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,OAAO2uG,GAAG/uG,EAAEG,EAAE,EAAE,MAAM,GAAG,EAAErC,EAAEI,EAAEkB,EAAEnB,EAAED,EAAED,EAAE2E,EAAEjH,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,OAAO,EAAEkH,EAAEvC,EAAEhD,EAAE0C,CAAC,EAAED,CAAC,CAAC,IAAIqvG,IAAG,CAAC,WAAWxnH,GAAG,YAAY,OAAO,UAAUsnH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI/zG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,GAAG0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,EAAE,CAAC,EAAEE,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAEd,EAAEc,IAAIA,IAAI,IAAIb,EAAEC,KAAK5B,EAAE,MAAMwC,IAAI,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAEC,EAAE,IAAI,MAAMZ,CAAC,EAAE,KAAK,CAAC,EAAEa,EAAEvC,EAAE,MAAM,MAAM,EAAEuC,EAAE,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIF,EAAE,GAAGE,EAAEH,EAAEG,GAAGugG,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,MAAM,CAAC,MAAMsC,EAAE,KAAKC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,OAAOwC,EAAE,IAAI,CAAC,CAAC,OAAOG,EAAE,MAAMC,CAAC,KAAK,CAAC,OAAOD,EAAE,MAAMC,EAAE,MAAMd,CAAC,EAAE,CAAC,CAAC,IAAIgyG,IAAG,CAAC,WAAWvnH,GAAG,YAAY,OAAO,WAAWsnH,GAAG,EAAE,SAASE,IAAIj0G,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAI8zG,IAAG,CAAC,WAAWrnH,GAAG,YAAY,OAAO,WAAWonH,GAAG,EAAME,IAAI,CAACxT,IAAGE,IAAGG,IAAGI,IAAGa,IAAGI,IAAGI,IAAGI,IAAGM,IAAGO,IAAGE,IAAGC,IAAGI,IAAGE,IAAGI,IAAGI,IAAGC,IAAGC,IAAGK,IAAGI,IAAGI,IAAGI,IAAGI,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGC,IAAGE,IAAGI,IAAGI,IAAGI,IAAGI,IAAGI,IAAGE,IAAGE,IAAGnH,IAAGoH,IAAGI,IAAGE,IAAGE,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGE,IAAGI,IAAGI,IAAGI,IAAGE,IAAGK,IAAGE,IAAGC,IAAGK,IAAGI,IAAGI,IAAGE,IAAGI,IAAGE,IAAGE,IAAGI,GAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGC,IAAGC,IAAGC,IAAGnL,IAAGuL,IAAGI,IAAGI,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGC,IAAGzM,IAAG6M,IAAGE,IAAGI,IAAGI,IAAGK,IAAGE,IAAGE,IAAGC,IAAGC,IAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGlS,IAAGoS,IAAGE,GAAE,EAAE,QAAQl0G,KAAKm0G,IAAI/6G,GAAG4G,CAAC,EAAE,IAAIo0G,GAAGxiH,EAAE,EAAEwiH,GAAG,aAAa,wBAAwB,SAAS,CAAC,GAAG,CAAC,OAAO,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOp0G,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAEo0G,GAAG,aAAa,+BAA+B,SAAS,CAAC,GAAGA,GAAG,IAAI,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,OAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,EAAE,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOp0G,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAE,IAAIq0G,GAAG/zG,GAAGgG,GAAG,CAAC,EAAEguG,IAAGh0G,GAAGmW,GAAG,CAAC,EAAE89F,GAAGj0G,GAAGsW,GAAG,CAAC,EAAM49F,GAAGH,GAAG,SAASA,GAAGI,IAAIF,GAAG,SAASA,GAAGnzH,GAAG,cAAcsE,EAAE,CAAC,YAAYkb,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,iBAAiB,EAAE,KAAK,KAAK,KAAK,qBAAqB8zG,EAAE,EAAEC,GAAG,KAAK,KAAK,KAAK,gBAAgB,EAAE,KAAK,UAAU,IAAI7xH,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,MAAMiP,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,KAAKA,EAAEO,EAAEV,EAAE,EAAE,CAAC,EAAEG,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,UAAU,WAAW,CAAC,CAAC,MAAM,KAAKO,EAAE,CAAC,IAAIV,EAAE1B,EAAE,IAAI,EAAE,OAAOoC,EAAE,EAAE,CAAC,SAASpC,EAAE,IAAI,EAAE0B,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,IAAIC,EAAE,KAAK,mBAAmB,GAAGzB,IAAI,SAAS,CAAC,IAAIqC,EAAExC,EAAE,KAAK,UAAU,IAAIU,EAAE,CAAC,GAAGkB,EAAE,YAAYY,EAAE,MAAM,EAAE,MAAMrC,EAAE,aAAa,KAAK,SAASwB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAED,EAAEvD,EAAE,gBAAgB6B,CAAC,EAAE,EAAE,KAAK,KAAK,QAAQ2B,CAAC,EAAE,KAAK,UAAU,IAAIpB,EAAE,CAAC,GAAGkB,EAAE,aAAa,EAAE,MAAM,EAAE,MAAMzB,EAAE,SAASwB,CAAC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeC,EAAEC,EAAE,CAAC,EAAE7B,GAAG,MAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,EAAE,OAAOA,EAAE,WAAW8B,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAEV,EAAE,EAAE,CAAC,GAAG,CAAC,aAAaG,EAAE,MAAMwB,EAAE,MAAMC,EAAE,YAAYC,CAAC,EAAE,KAAK,UAAU,IAAInB,CAAC,EAAE,GAAGiB,IAAI,SAAS,OAAO3B,GAAG,MAAMA,IAAI,KAAK,GAAG,MAAM,GAAG6B,EAAE,QAAQA,EAAEA,EAAE,MAAM7B,EAAE,CAAC,EAAEA,EAAEA,GAAG,EAAE,EAAE,GAAG1B,EAAE,cAAcsD,CAAC,EAAE,IAAIE,EAAExD,EAAE,gBAAgBqD,CAAC,EAAE,EAAE,KAAK,KAAK,OAAO,MAAMxB,EAAEH,EAAE8B,EAAE3B,EAAE,EAAE2B,CAAC,EAAE,OAAO4yG,IAAI,EAAE,OAAO/yG,CAAC,CAAC,CAAC,YAAYjB,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,UAAU,IAAIU,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,GAAG,EAAE,WAAW,CAACV,GAAG,EAAE,SAAS,EAAE,MAAM,GAAG,KAAK,KAAK,MAAM,EAAE,YAAY,EAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,EAAE,KAAK,UAAU,OAAOU,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASA,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,UAAU,IAAIU,CAAC,EAAEV,GAAG,MAAMA,EAAE,UAAU,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,gBAAgBU,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,YAAY,CAAC,SAAS,CAAC,KAAK,KAAK,KAAK,QAAQ,EAAE,YAAY,KAAK,MAAM,KAAK,KAAK,QAAQ,oBAAoB,EAAE,KAAK,KAAK,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,EAAE,CAAC,CAAC,WAAWA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAG,GAAG,KAAKA,EAAE,KAAK,MAAM,KAAKO,EAAEV,CAAC,MAAM,CAAC,IAAI2B,EAAE,KAAK,mBAAmBxB,EAAE,CAAC,GAAGwB,CAAC,EAAE,KAAK,UAAU,IAAIxB,EAAE,CAAC,GAAGwB,EAAE,aAAa,EAAE,MAAMjB,EAAE,MAAMV,EAAE,SAAS,CAAC,CAAC,EAAE,IAAI4B,EAAEtD,EAAE,cAAcoC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeiB,EAAEC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOzB,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAMU,EAAE,MAAMV,EAAE,OAAO,CAAC,EAAE,CAAC,IAAIG,EAAE,KAAK,KAAK,OAAO,OAAO,CAAC,aAAawB,CAAC,EAAE,KAAK,UAAU,IAAI,CAAC,EAAEC,EAAEtD,EAAE,cAAcoC,CAAC,EAAE,OAAOV,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaG,EAAEwB,EAAEC,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB5B,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS20G,IAAI70G,EAAE,CAAC,MAAM,CAAC,EAAEE,KAAK1B,EAAE,MAAMwB,EAAE,CAAC,YAAY,aAAa,CAAC,EAAE,KAAKI,GAAG,CAACA,EAAE,IAAI,EAAE,IAAI,EAAE,uCAAuCJ,IAAI,EAAEI,EAAE,YAAY,EAAE,KAAKC,GAAG,CAAC,YAAY,YAAYA,EAAE,CAAC,EAAE,KAAK,GAAG,CAACH,EAAE,EAAE,SAAS,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,SAAS40G,GAAG90G,EAAE,EAAEE,EAAE,CAAC,GAAG60G,IAAI,KAAK,OAAOA,GAAG,IAAI30G,EAAE,yBAAyB,OAAOJ,GAAG,EAAEI,EAAE,uCAAuCJ,IAAII,EAAE,+BAA+B40G,IAAI,MAAMA,GAAG50G,IAAI,KAAK40G,GAAG50G,GAAGF,EAAEE,CAAC,CAAC,eAAe60G,KAAI,CAAC,GAAG,CAACj1G,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAI,CAACpO,EAAE,EAAE,SAAS,uBAAuB,EAAEA,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC,EAAE,OAAO,IAAI,QAAQ,CAACsO,EAAEE,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEA,EAAE,WAAW,CAAC0B,EAAEC,IAAI,CAAC,GAAGD,EAAE,SAAS,YAAY,EAAE,CAAC,IAAIE,EAAEqyG,IAAG,mBAAmB,QAAQ,MAAM,KAAK,EAAE5xG,EAAE,IAAI,KAAK,CAACT,CAAC,EAAE,CAAC,KAAK,wBAAwB,CAAC,EAAE,OAAO,IAAI,gBAAgBS,CAAC,CAAC,CAAC,OAAOX,EAAE,SAAS,OAAO,EAAE+yG,GAAG90G,EAAE,EAAEk1G,IAAI,KAAKA,GAAGlzG,CAAC,EAAEA,EAAED,CAAC,EAAEozG,KAAK90G,EAAE,gBAAgBw0G,IAAIC,GAAG90G,EAAE,EAAEk1G,IAAI,KAAKA,GAAG,EAAE,CAAC,GAAG,IAAI,EAAE,GAAG70G,EAAE,QAAQ,IAAI,CAAI,GAAG+0G,KAAUA,GAAG,GAAGh1G,EAAE,CAAC,QAAQ,iMAAiM,CAAC,EAAC,EAAE,IAAI,EAAE,GAAGJ,GAAG+0G,IAAI,MAAM10G,EAAE,oBAAoB,IAAI,KAAK,CAAC,uCAAuCm0G,GAAG,SAAS,CAAC,EAAE,CAAC,KAAK,iBAAiB,CAAC,EAAE,EAAEA,GAAGn0G,CAAC,GAAG,EAAEo0G,IAAIp0G,CAAC,EAAE,EAAE,KAAK0B,GAAG,CAAC,EAAE,GAAGqzG,GAAG,GAAG,IAAIpzG,EAAE,KAAKD,EAAE,KAAK,CAAC,KAAKA,EAAE,MAAM,OAAO,KAAK,CAAC,CAAC,EAAE,qBAAqBA,EAAE,MAAM,0BAA0B,KAAK,CAAC,QAAQ,CAAC,EAAE,gBAAgBA,EAAE,MAAM,oBAAoB,SAAS,CAAC,CAAC,EAAE,eAAeA,EAAE,MAAM,kBAAkB,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,EAAE,YAAYA,EAAE,MAAM,eAAeC,EAAE,CAAC,QAAQ,CAAC,EAAE,QAAQD,EAAE,MAAM,UAAUC,EAAE,CAAC,CAAC,CAAC,EAAE9B,EAAE,CAAC,KAAK6B,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM3B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw0G,IAAI50G,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaA,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,CAAC,IAAIq1G,IAAI,CAAC,yBAAyB,8BAA8B,sCAAsC,EAAEN,GAAG,KAAKG,GAAG,KAAKF,GAAG,CAAC,EAAEI,GAAG,GAAGD,GAAG,GAAG,SAASr6G,IAAIkF,EAAE,EAAE,GAAG,CAAC,GAAGxP,GAAG,mGAAmG,EAAE4kH,GAAG,MAAM,IAAI,MAAM,gIAAgI,EAAEL,GAAG/0G,EAAEm1G,GAAG,CAAC,CAAC,SAASp6G,IAAIiF,EAAE,EAAE,GAAG,CAAC,GAAGo1G,GAAG,MAAM,IAAI,MAAM,iIAAiI,EAAE,GAAG,OAAOp1G,GAAG,SAASk1G,GAAGl1G,MAAM,CAACg1G,GAAGh1G,EAAE,IAAIE,EAAEm1G,IAAI,OAAOj1G,GAAG40G,GAAG50G,IAAI,IAAI,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2DA,EAAE,KAAK,GAAG,gKAAgK,CAAC,CAACi1G,GAAG,CAAC,CAAC,IAAIT,GAAG,GAAGC,GAAG,GAAG,SAAS95G,IAAImF,EAAE,CAAC00G,GAAG10G,CAAC,CAAC,SAAS7M,KAAK,CAAC,GAAGwhH,KAAK,GAAG,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAOA,EAAE,CAAC,IAAI11G,IAAI,QAAYq2G,IAAI,EAAEr8G,GAAG,OAAO,SAAS,CAAC,GAAG,CAAC,KAAK+G,CAAC,EAAE,MAAMi1G,IAAG,EAAE,OAAO,IAAI7zH,GAAG4e,CAAC,CAAC,EAAEs1G,GAAG,EAAE,IAAIC,GAAG,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQ92G,IAAI,CAAC,KAAK02G,GAAG,YAAYA,GAAG,iBAAiBC,IAAI,mBAAmBC,IAAI,qBAAqBC,IAAI,oBAAoBC,GAAG,EChxJ33e,IAAAC,GAAA,GAAAC,GAAAD,GAAA,oBAAAE,GAAA,YAAAC,GAAA,mBAAAC,GAAA,sBAAAC,GAAA,6BAAAC,GAAA,kBAAAC,GAAA,yBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,IAAA,wBAAAC,IAAA,sBAAAC,MCEO,SAASC,GACdC,EACAC,EACAC,EAAW,GACX,CASA,GARAF,EAAI,UAAU,EAEdC,EAAO,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAE,EAAAE,EAAG,EAAAC,CAAE,EAAGC,IAAY,CAC7C,IAAMC,EAAOL,EAAOI,GACpBL,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOG,EAAGC,CAAC,CACjB,CAAC,EAEGF,EAAU,CACZ,IAAMI,EAAOL,EAAOA,EAAO,OAAS,GAC9BM,EAAKN,EAAO,GAClB,GAAI,CAACK,GAAQ,CAACC,EACZ,OAGFP,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOO,EAAG,EAAGA,EAAG,CAAC,CACvB,CAEAP,EAAI,OAAO,CACb,CC3BA,IAAAQ,GAAA,GAAAC,GAAAD,GAAA,+BAAAE,GAAA,mBAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,eAAAC,IAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,UAAAC,KCOO,IAAMC,GAAN,KAAwC,CAK7C,YAAYC,EAAeC,EAAgB,CACzC,GAAI,CAACC,GAAcF,CAAK,GAAK,CAACE,GAAcD,CAAM,EAChD,MAAM,IAAI,MAAM,wFAAwF,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG7I,KAAK,OAASD,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAE5C,SAAsB,CAC3B,OAAO,IAAIF,GAAW,EAAI,KAAK,MAAO,EAAI,KAAK,MAAM,CACvD,CACF,EDvBO,SAASI,GAASC,EAAaC,EAAa,CACjD,OAAOD,aAAqBE,IAAUF,EAAO,MAAM,SAAWC,CAChE,CAEO,SAASE,IAAWH,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASI,GAAWJ,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASK,GAAWL,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASM,GAAWN,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASO,GAAQC,EAAa,CACnC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASC,GAAOD,EAAa,CAClC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASE,GAAMF,EAAaG,EAAO,EAAG,CAC3C,IAAMC,EAAI,IAAMD,EAChB,OAAO,KAAK,MAAMH,EAAMI,CAAC,EAAIA,CAC/B,CAEO,SAASC,GAAaC,EAAmB,CAC9C,OAAOA,GAAOA,EAAI,OAASA,EAAI,MACjC,CAEO,SAASC,GAA0B,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAgBC,EAAmB,CAC3F,IAAMC,EAAQD,EAAY,KAAK,IAAID,EAAQD,CAAK,EAChD,OAAO,IAAII,GAAW,KAAK,MAAMJ,EAAQG,CAAK,EAAG,KAAK,MAAMF,EAASE,CAAK,CAAC,CAC7E,CAEO,SAASE,GAAeC,EAAqB,CAClD,OAAOA,EAAI,OAAO,CAACC,EAAKC,IAAOD,EAAI,IAAIC,CAAE,EAAG,IAAIC,GAAM,EAAG,CAAC,CAAC,EACxD,IAAI,IAAIA,GAAMH,EAAI,OAAQA,EAAI,MAAM,CAAC,CAC1C,CAEO,SAASI,GAAMlB,EAAamB,EAAeC,EAAwB,CACxE,OAAO,MAAMpB,CAAG,EAAE,KAAK,CAAC,EAAE,IAAI,CAACqB,EAAGC,IAAMH,EAASG,EAAIF,CAAK,CAC5D,CAEO,SAASG,GAAcvB,EAAU,CACtC,MAAO,CAAC,CAACA,GAAQA,IAAQ,KAAcA,IAAQ,MAAc,CAAC,OAAO,MAAMA,CAAG,GAAKA,IAAQ,CAC7F,CAEO,SAASwB,GAAmBxB,EAAU,CAC3C,OAAOuB,GAAcvB,CAAG,GAAKA,GAAO,GAAKA,GAAO,CAClD,CEzDO,IAAMyB,GAAN,KAA8B,CAKnC,YAAYC,EAAWC,EAAW,CAChC,KAAK,GAAKD,EACV,KAAK,GAAKC,CACZ,CAEA,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAElC,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAE3B,IAAIC,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,KAAa,CAClB,OAAO,IAAIH,GAAM,KAAK,IAAI,KAAK,CAAC,EAAG,KAAK,IAAI,KAAK,CAAC,CAAC,CACrD,CAEO,WAAoB,CACzB,OAAO,KAAK,KAAM,KAAK,GAAK,EAAM,KAAK,GAAK,CAAE,CAChD,CAEO,OAAe,CACpB,OAAO,IAAIA,GAAM,KAAK,MAAM,KAAK,CAAC,EAAG,KAAK,MAAM,KAAK,CAAC,CAAC,CACzD,CACF,ECxCO,IAAMI,GAAN,KAAwD,CAC7D,OAAc,OAAOC,EAAoB,CACvC,MAAO,CAAC,CAACA,GAAQ,CAACA,EAAK,EAAGA,EAAK,EAAGA,EAAK,MAAOA,EAAK,MAAM,EAAE,MAAMC,EAAa,CAChF,CAEA,OAAc,iBAAiBC,EAAUC,EAAgBC,EAA0B,GAAO,CACxF,GAAI,CAACL,GAAI,OAAOG,CAAG,EACjB,MAAM,IAAI,MAAM,GAAGC,oBAAyB,KAAK,UAAUD,CAAG,wDAAwD,EAGxH,GAAI,CAACE,IAA4BF,EAAI,MAAQ,GAAKA,EAAI,OAAS,GAC7D,MAAM,IAAI,MAAM,GAAGC,cAAmBD,EAAI,sBAAsBA,EAAI,kCAAkC,CAE1G,CAUA,YAAYG,EAA4BD,EAA0B,GAAM,CACtE,IAAMF,EAAOG,GAAQ,CAAC,EAEhBC,EAAS,CAACJ,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EACvEM,EAAS,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EAExE,GAAI,CAACM,GAAU,CAACD,EACd,MAAM,IAAI,MAAM,2EAA2E,KAAK,UAAUJ,CAAG,GAAG,EAGlH,GAAM,CAACM,EAAGC,EAAGC,EAAOC,CAAM,EAAIJ,EAC1B,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EACpC,CAACA,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAQA,EAAI,KAAMA,EAAI,OAASA,EAAI,GAAG,EAElEH,GAAI,iBAAiB,CACnB,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAG,kBAAmBP,CAAuB,EAE7C,KAAK,GAAKI,EACV,KAAK,GAAKC,EACV,KAAK,OAASC,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAEnD,IAAW,MAAe,CAAE,OAAO,KAAK,CAAG,CAE3C,IAAW,KAAc,CAAE,OAAO,KAAK,CAAG,CAE1C,IAAW,OAAgB,CAAE,OAAO,KAAK,EAAI,KAAK,KAAO,CAEzD,IAAW,QAAiB,CAAE,OAAO,KAAK,EAAI,KAAK,MAAQ,CAE3D,IAAW,MAAe,CAAE,OAAO,KAAK,MAAQ,KAAK,MAAQ,CAE7D,IAAW,SAAiB,CAAE,OAAO,IAAIC,GAAM,KAAK,KAAM,KAAK,GAAG,CAAG,CAErE,IAAW,UAAkB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,GAAG,CAAG,CAEvE,IAAW,YAAoB,CAAE,OAAO,IAAIA,GAAM,KAAK,KAAM,KAAK,MAAM,CAAG,CAE3E,IAAW,aAAqB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,MAAM,CAAG,CAEtE,OAAsB,CAC3B,GAAM,CAACJ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,OAAsB,CAC3B,GAAM,CAACH,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,UAAyB,CAC9B,GAAI,CACF,EAAAH,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KACEG,EAAO,KAAK,IAAIJ,EAAQC,CAAM,EACpC,OAAID,EAAQC,IACVH,GAAMM,EAAO,EACbJ,GAASI,GAEPH,EAASD,IACXD,GAAMK,EAAO,EACbH,GAAUG,GAGL,IAAIf,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,QAAQI,EAAuC,CACpD,IAAMC,EAASC,GAAaF,CAAC,EAAKA,EAAkB,MAAQA,EACtDG,EAASD,GAAaF,CAAC,EAAKA,EAAkB,OAASA,EAC7D,OAAO,IAAIhB,GAAI,CACb,EAAG,KAAK,EAAIiB,EACZ,EAAG,KAAK,EAAIE,EACZ,MAAO,KAAK,MAAQF,EACpB,OAAQ,KAAK,OAASE,CACxB,CAAC,CACH,CAEO,IAAIC,EAAcC,EAA4B,CACnD,GAAM,CAACZ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAC5B,KAAK,EAAKQ,EAAO,EACjB,KAAK,EAAKC,EAAO,EACjB,KAAK,MAAQD,EACb,KAAK,OAASC,CAChB,EACA,OAAO,IAAIrB,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,mBAAmBU,EAAkBC,EAAiC,CAC3E,GAAM,CAAE,EAAAd,EAAG,EAAAC,EAAG,MAAAc,EAAO,OAAAC,CAAO,EAAI,KAC1BC,EAAW,KAAK,IAAIjB,EAAG,CAAC,EACxBkB,EAAW,KAAK,IAAIjB,EAAG,CAAC,EAExBkB,EAAWJ,EAAQE,EACnBG,EAAYJ,EAASE,EACrBG,EAAe,KAAK,IAAIF,EAAUN,EAAWI,CAAQ,EACrDK,EAAgB,KAAK,IAAIF,EAAWN,EAAYI,CAAQ,EAE9D,OAAQ,IAAI3B,GAAI,CAAE,EAAG0B,EAAU,EAAGC,EAAU,MAAOG,EAAc,OAAQC,CAAc,CAAC,EAAG,MAAM,CACnG,CAEO,MAAMC,EAAYC,EAA0B,CACjD,GAAM,CAAE,MAAAtB,EAAO,OAAAC,CAAO,EAAI,KACpBH,EAAI,KAAK,EAAIuB,EACbtB,EAAI,KAAK,EAAIuB,EAEnB,OAAO,IAAIjC,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,aAAasB,EAAqBC,EAAoB,CAC3D,IAAMC,EAAI,KAAK,MAAQ,EACjBC,EAAI,KAAK,OAAS,EAElBC,EAAK,EACLC,EAAK,EACPC,EAAMJ,EACNK,EAAMJ,EAEN5B,EAAI,KAAK,KACTC,EAAI,KAAK,IACTgC,EAAK,KAAK,MACVC,EAAK,KAAK,OAEd,OAAID,EAAKP,IACPK,EAAM,CAACE,EAAKP,EAAaC,EACzBM,EAAKP,GAEHQ,EAAKT,IACPO,EAAM,CAACE,EAAKT,EAAcG,EAC1BM,EAAKT,GAEHzB,EAAI,IACNgC,EAAM,EAAIhC,EACVA,EAAI,GAEFC,EAAI,IACN+B,EAAM,EAAI/B,EACVA,EAAI,GAGC,CAAE,GAAA6B,EAAI,IAAAE,EAAK,GAAAH,EAAI,IAAAE,EAAK,EAAA9B,EAAG,GAAAiC,EAAI,EAAAlC,EAAG,GAAAiC,EAAI,EAAAN,EAAG,EAAAC,CAAE,CAChD,CAEO,UAAUO,EAAa,CAC5B,OAAO,IAAI5C,GAAI,CACb,KAAM,KAAK,KAAQ4C,EAAO,KAAO,KAAK,MACtC,IAAK,KAAK,IAAOA,EAAO,IAAM,KAAK,OACnC,MAAO,KAAK,MAASA,EAAO,MAAQ,KAAK,MACzC,OAAQ,KAAK,OAAUA,EAAO,OAAS,KAAK,MAC9C,CAAC,EAAE,SAAS,EAAE,MAAM,CACtB,CACF,EC3LO,IAAMC,GAAN,cAA0BC,EAA4B,CAC3D,YAAYC,EAAcC,EAAaC,EAAeC,EAAgBC,EAA0B,GAAO,CACrG,MAAM,CAAE,KAAAJ,EAAM,IAAAC,EAAK,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CAC7D,CACF,ECTO,IAAMC,GAAN,KAAsB,CAW3B,YACEC,EACAC,EACAC,EACAC,EACAC,EACA,CACA,KAAK,WAAa,IAAIC,GAAWD,EAAU,MAAOA,EAAU,MAAM,EAClE,KAAK,OAASJ,EACd,KAAK,YAAcC,EACnB,KAAK,WAAaC,EAClB,KAAK,KAAO,IAAII,GAAIH,CAAW,EAAE,QAAQ,KAAK,UAAU,CAC1D,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAE3D,IAAW,WAAoB,CAAE,OAAO,KAAK,UAAY,CAEzD,IAAW,KAAW,CAAE,OAAO,KAAK,IAAM,CAE1C,IAAW,WAAwB,CAAE,OAAO,KAAK,UAAY,CAE7D,IAAW,YAAqB,CAAE,OAAO,KAAK,UAAU,KAAO,CAE/D,IAAW,aAAsB,CAAE,OAAO,KAAK,UAAU,MAAQ,CAEjE,IAAW,aAAmB,CAAE,OAAO,IAAIG,GAAI,KAAK,IAAI,EAAE,QAAQ,KAAK,UAAU,QAAQ,CAAC,CAAG,CAEtF,QAAQC,EAAeC,EAAiC,CAC7D,OAAO,IAAIT,GACT,KAAK,MACL,KAAK,WACL,KAAK,UACL,KAAK,YACL,CAAE,MAAAQ,EAAO,OAAAC,CAAO,CAClB,CACF,CACF,EC5CO,IAAMC,GAAN,cAA4BC,EAAyC,CAC1E,YACEC,EACAC,EACAC,EACA,CACA,MAAMF,EAAOA,EAAO,GAAIC,EAAaC,CAAS,CAChD,CAEgB,QAAQC,EAAeC,EAA+B,CACpE,GAAM,CAAE,MAAAJ,EAAO,YAAAC,EAAa,UAAAC,CAAU,EAAI,MAAM,QAAQC,EAAOC,CAAM,EACrE,OAAO,IAAIN,GAAcE,EAAOC,EAAaC,CAAS,CACxD,CACF,ECrBO,SAASG,GAAIC,EAAWC,EAAWC,EAAQ,GAAM,CACtD,IAAMC,EAAQ,KAAK,IAAI,EAAK,KAAK,IAAIH,EAAK,MAAOC,EAAK,KAAK,EAAI,KAAK,IAAID,EAAK,KAAMC,EAAK,IAAI,CAAC,EACvFG,EAAS,KAAK,IAAI,EAAK,KAAK,IAAIJ,EAAK,OAAQC,EAAK,MAAM,EAAI,KAAK,IAAID,EAAK,IAAKC,EAAK,GAAG,CAAC,EACxFI,EAAeF,EAAQC,EAE7B,OAAOF,EACHG,GAAgBL,EAAK,KAAOC,EAAK,KAAOI,GACxCA,EAAe,KAAK,IAAIL,EAAK,KAAMC,EAAK,IAAI,CAClD,CCRO,SAASK,GAAQC,EAA4B,CAClD,IAAMC,EAAKD,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBC,EAAKH,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBE,EAAOH,EAAG,OAAO,CAACI,EAAKC,IAAOA,EAAID,EAAMC,EAAID,EAAM,GAAQ,EAC1DE,EAAOJ,EAAG,OAAO,CAACE,EAAKG,IAAOA,EAAIH,EAAMG,EAAIH,EAAM,GAAQ,EAC1DI,EAAOR,EAAG,OAAO,CAACS,EAAKJ,IAAOI,EAAMJ,EAAIA,EAAII,EAAM,CAAC,EACnDC,EAAOR,EAAG,OAAO,CAACO,EAAKF,IAAOE,EAAMF,EAAIA,EAAIE,EAAM,CAAC,EAEzD,OAAO,IAAIE,GAAYR,EAAMG,EAAME,EAAME,CAAI,CAC/C,CCRO,SAASE,GACdC,EACAC,EACAC,EACAC,EAAQ,GACE,CACV,IAAIC,EAAuBH,EACxB,IAAI,CAACI,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,KAAK,CAACC,EAAIC,IAAOD,EAAG,MAAQC,EAAG,KAAK,EACpC,IAAKC,GAAMA,EAAE,QAAQ,EAElBC,EAAiB,CAAC,EAExB,KAAON,EAAqB,OAAS,GAAG,CACtC,IAAMO,EAAOP,EAAqB,IAAI,EACtCM,EAAK,KAAKC,CAAI,EAEd,IAAMC,EAAUR,EAEVS,EAAoB,CAAC,EAC3B,QAASC,EAAI,EAAGA,EAAIF,EAAQ,OAAQE,IAAK,CACvC,IAAMC,EAAMH,EAAQE,GAEdE,EAAUhB,EAAMW,GAChBM,EAASjB,EAAMe,GAErBF,EAAQ,KAAKK,GAAIF,EAASC,EAAQd,CAAK,CAAC,CAC1C,CAEAC,EAAuBA,EAAqB,OAC1C,CAACe,EAAGC,IAAMP,EAAQO,IAAMlB,CAC1B,CACF,CAEA,OAAOQ,CACT,CCpCO,SAASW,GAAUC,EAAgBC,EAAgC,CACxE,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAGC,EAAGC,CAAC,EAAIJ,EACZK,EAAWC,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGG,EAAG,SAAS,EACzDK,EAAWD,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGI,EAAG,SAAS,EACzDK,EAAWF,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGK,EAAG,SAAS,EACzDK,EAAaC,GAAO,CAACL,EAAOE,EAAOC,CAAK,EAAG,CAAC,EAElD,OAAUG,GAAIZ,EAAGU,CAAO,CAC1B,CAAC,CACH,CCFO,SAASG,GAAYC,EAAwBC,EAAgB,GAAoB,CACtF,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAQC,CAAK,EAAIJ,EAAU,MAAM,MAAM,CAAC,EAC/C,GAAIG,IAAWC,EAAO,OAAOJ,EAC7B,IAAMK,EAAU,KAAK,IAAIF,EAASC,CAAK,EACjCE,EAAgB,KAAK,MAAMD,GAAWJ,EAAgB,GAAM,EAAE,EAC9DM,EAAcJ,EAASC,EAAQ,EAAI,EACnCI,EAAuBC,GAA0C,CACrE,IAAMC,EAAqBV,EAAU,MAAM,MAAM,EACjD,OAAAU,EAAmBH,GAAeE,EACxBE,GAAKD,EAAoB,EAAG,SAAS,CACjD,EACME,EAAsBJ,EAAoBF,CAAa,EACvDO,EAAyBR,EAAWO,EAAoB,MAAML,GAE9DO,EAAiB,CADMb,GAAiBY,EAAyBL,EAAoBK,CAAsB,EAAI,KACvEb,EAAWY,CAAmB,EACzE,OAAQG,GAAM,CAAC,CAACA,CAAC,EACjB,IAAKA,GAASC,GAAKD,EAAkB,SAAS,CAAC,EAClD,OAAUE,GAAOH,EAAgBP,CAAW,CAC9C,CAAC,CACH,CC9BO,SAASW,IAAaC,EAAmB,CAC9C,IAAMC,EAAQD,EAAW,MAAM,EAC/B,QAASE,EAAID,EAAM,OAAS,EAAGC,EAAI,EAAGA,IAAK,CACzC,IAAMC,EAAI,KAAK,MAAM,KAAK,OAAO,GAAKD,EAAI,EAAE,EACtCE,EAAIH,EAAMC,GAChBD,EAAMC,GAAKD,EAAME,GACjBF,EAAME,GAAKC,CACb,CACA,OAAOH,CACT,CCFO,SAASI,GAAQC,EAAW,CACjC,MAAO,IAAK,EAAI,KAAK,IAAI,CAACA,CAAC,EAC7B,CAEO,SAASC,IAAeD,EAAW,CACxC,OAAO,KAAK,IAAIA,GAAK,EAAIA,EAAE,CAC7B,CCJO,IAAME,GAAN,cAAmBC,EAAqB,CAC7C,YAAYC,EAAWC,EAAWC,EAAeC,EAAgBC,EAA0B,GAAO,CAChG,MAAM,CAAE,EAAAJ,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CACxD,CACF,ECHA,IAAMC,IAAO,GACPC,IAAO,IACPC,IAAW,IAOJC,GAAN,KAA8C,CAOnD,YACEC,EACAC,EACAC,EAAe,IAAIC,GAAM,EAAG,CAAC,EAC7B,CACA,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIJ,EAC1B,KAAK,SAAW,IAAIK,GAAWF,EAAOC,CAAM,EAC5C,KAAK,OAASH,EACd,KAAK,WAAaF,EAA8B,IAC7CO,GAAOA,EAAG,IAAI,IAAIJ,GAAMC,EAAOC,CAAM,CAAC,EAAE,IAAIH,CAAK,CACpD,CACF,CAEA,IAAW,OAAe,CAAE,OAAO,IAAIC,GAAM,KAAK,OAAO,EAAG,KAAK,OAAO,CAAC,CAAG,CAE5E,IAAW,YAAqB,CAAE,OAAO,KAAK,SAAS,KAAO,CAE9D,IAAW,aAAsB,CAAE,OAAO,KAAK,SAAS,MAAQ,CAEhE,IAAW,WAAqB,CAAE,OAAO,KAAK,UAAY,CAE1D,IAAW,mBAA6B,CACtC,OAAO,KAAK,WAAW,IACpBI,GAAOA,EAAG,IAAI,KAAK,MAAM,EAAE,IAAI,IAAIJ,GAAM,KAAK,WAAY,KAAK,WAAW,CAAC,CAC9E,CACF,CAEO,QAAiCC,EAAeC,EAAmB,CACxE,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAClB,CACF,CAEO,QAAiCG,EAAWC,EAAc,CAC/D,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,KAAK,SACL,IAAIN,GAAMK,EAAGC,CAAC,CAChB,CACF,CAEO,aAAsCF,EAAc,CACzD,OAAO,KAAK,QAAQA,EAAG,EAAGA,EAAG,CAAC,CAChC,CAaO,MACLG,EACAC,EAAkE,CAAE,EAC/D,CACL,GAAID,EAAW,CACb,IAAME,EAAMF,aAAqBG,GAC7BH,EAAU,IAAI,MAAM,EACpB,IAAII,GAAIJ,CAAS,EAErB,OAAO,KAAK,QAAQE,EAAI,EAAGA,EAAI,CAAC,EAAE,MAAM,KAAMD,CAAO,CACvD,CAEA,GAAM,CAAE,iBAAAI,EAAkB,cAAAC,CAAc,EAAI,CAAE,iBAAkB,GAAO,cAAe,GAAK,GAAGL,CAAQ,EAEtG,OAAII,EACK,KAAK,UAAU,EAGjB,KAAK,aAAaC,CAAa,CACxC,CAEQ,WAAiB,CACvB,IAAMC,EAAU,KAAK,yBAAyB,EAExC,CAACC,EAAeC,EAAgBC,CAAW,EAAIH,EAC/CI,EAAed,GAAca,EAAY,IAAIb,CAAE,EAAE,UAAU,EAC3De,GAAkBD,EAAYH,CAAa,EAAIG,EAAYF,CAAc,GAAK,EAE9EI,EAAO,KAAK,MAAMD,EAAiBxB,GAAQ,EAE3C0B,EAAWC,GAAeR,CAAO,EAEjCT,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGgB,EAAS,EAAK5B,IAAO2B,CAAK,CAAC,EACtDd,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGe,EAAS,EAAK3B,IAAO0B,CAAK,CAAC,EAE5D,OAAO,IAAIG,GAAKlB,EAAGC,EAAG,KAAK,IAAIc,EAAM,KAAK,WAAaf,CAAC,EAAG,KAAK,IAAIe,EAAM,KAAK,YAAcd,CAAC,CAAC,CACjG,CAEQ,aAAakB,EAAsB,CACzC,IAAMf,EAAMgB,GAAQ,KAAK,SAAS,EAClC,OAAOhB,EAAI,IAAIA,EAAI,MAAQe,EAASf,EAAI,OAASe,CAAO,CAC1D,CAEU,0BAAoC,CAC5C,MAAM,IAAI,MAAM,wDAAwD,CAC1E,CACF,EC7HO,IAAME,GAAN,cAA6BC,EAAc,CAC7B,0BAAoC,CACrD,IAAMC,EAAM,KAAK,UACjB,MAAO,CACLA,EAAI,GACJA,EAAI,GACJC,GAAe,CAACD,EAAI,GAAIA,EAAI,EAAE,CAAC,CACjC,CACF,CACF,ECTO,IAAME,GAAN,cAA8BC,EAAc,CAC1C,eAAyB,CAC9B,OAAO,KAAK,UAAU,MAAM,EAAG,EAAE,CACnC,CAEO,gBAA0B,CAC/B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,iBAA2B,CAChC,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,SAAmB,CACxB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,YAAsB,CAC3B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,aAAuB,CAC5B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,UAAoB,CACzB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEmB,0BAAoC,CACrD,MAAO,CACL,KAAK,WAAW,EAChB,KAAK,YAAY,EACjB,KAAK,SAAS,CAChB,EAAE,IAAIC,EAAc,CACtB,CACF,ECjCO,IAAMC,GAAN,KAAsC,CAI3C,YAAYC,EAAeC,EAAkB,CAC3C,KAAK,OAASD,EACd,KAAK,UAAYC,CACnB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,UAAmB,CAAE,OAAO,KAAK,SAAW,CAEhD,SAASC,EAAe,GAAc,CAC3C,MAAO,GAAG,KAAK,QAAQA,EAAe,KAAKC,GAAM,KAAK,QAAQ,KAAO,IACvE,CACF,EClBO,IAAMC,GAAN,cAAyBC,EAAI,CAUlC,YAAYC,EAAiCC,EAAe,CAC1D,MAAMD,CAAG,EACT,KAAK,OAASC,CAChB,CAZA,OAAc,wBAAwBD,EAAUE,EAAgB,CAE9D,GADAH,GAAI,iBAAiBC,EAAKE,CAAM,EAC5B,CAACC,GAAcH,EAAI,KAAK,EAC1B,MAAM,IAAI,MAAM,GAAGE,gCAAqCF,EAAI,uBAAuB,CAEvF,CASA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CACnD,ECrBO,IAAMI,GAAN,KAA6B,CAKlC,YAAYC,EAAeC,EAA6B,CACtD,GAAM,OAAOD,GAAU,SACrB,MAAM,IAAI,MAAM,oEAAoE,EAGtF,GAAI,CAAC,MAAM,QAAQC,CAAW,GAAKA,EAAY,KAAMC,GAAS,EAAEA,aAAgB,aAAa,EAC3F,MAAM,IAAI,MAAM,0FAA0F,EAG5G,KAAK,OAASF,EACd,KAAK,aAAeC,CACtB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,aAA8B,CAAE,OAAO,KAAK,YAAc,CAE9D,QAAc,CACnB,MAAO,CACL,MAAO,KAAK,MACZ,YAAa,KAAK,YAAY,IAAKE,GAAM,MAAM,KAAKA,CAAC,CAAC,CACxD,CACF,CAEA,OAAc,SAASC,EAAmC,CACxD,IAAMH,EAAcG,EAAK,YAAY,IAAKD,GAAW,IAAI,aAAaA,CAAC,CAAC,EACxE,OAAO,IAAIJ,GAAuBK,EAAK,MAAOH,CAAW,CAC3D,CACF,EC5BO,IAAMI,GAAN,cAA2BC,EAAW,CAgB3C,YAAYC,EAAiCC,EAAeC,EAAeC,EAAoB,CAC7F,MAAMH,EAAKC,CAAK,EAChB,KAAK,OAASC,EACd,KAAK,YAAcC,CACrB,CAnBA,OAAc,0BAA0BH,EAAUI,EAAgB,CAGhE,GAFAL,GAAW,wBAAwBC,EAAKI,CAAM,EAG5C,CAACC,GAAmBL,EAAI,KAAK,GAC1B,CAACK,GAAmBL,EAAI,UAAU,EAErC,MAAM,IAAI,MAAM,GAAGI,kCAAuCJ,EAAI,eAAeA,EAAI,2CAA2C,CAEhI,CAYA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAC7D,ECxBO,SAASM,GAAoBC,EAAwC,CAC1E,OAAOA,EAAI,qBAAqBC,EAClC,CAEO,SAASC,GAAiCC,EAAoBC,EAAsD,CAEzH,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAC,CAAU,CACM,CACtC,CCXO,SAASC,IAAgC,CAC9C,IAAMC,EAAQ,OAAO,MACrB,GAAI,CAACA,EAAO,MAAM,IAAI,MAAM,8DAA8D,EAM1F,MAAO,CACL,OAAQ,kBACR,yBACA,MAAO,iBACP,UACA,MAAO,iBACP,oBAAqB,IAAM,SAAS,cAAc,QAAQ,EAC1D,mBAAoB,IAAM,SAAS,cAAc,KAAK,EACtD,mBAAoB,IAAM,SAAS,cAAc,OAAO,EACxD,MAAAA,EACA,SAde,IAAM,CACrB,MAAM,IAAI,MAAM,6DAA6D,CAC/E,CAaA,CACF,CCtBO,SAASC,IAAoB,CAClC,OAAO,OAAO,QAAW,UACpB,OAAO,SAAY,aACnB,QAAQ,UAAY,MACpB,QAAQ,SAAS,MAAQ,IAChC,CCFO,SAASC,GAAiBC,EAAsB,CACrD,IAAIC,EAAiB,GACrB,GAAI,CAACD,GAAME,GAAS,EAClB,GAAI,CAEFF,EAAK,GAAQ,KACf,OAASG,EAAP,CACAF,EAAkBE,EAAY,SAAS,CACzC,CAMF,MAAO,CAAE,SAHQH,EACZI,GAAqB,IAAI,QAAQ,CAACC,EAASC,IAAW,CAAEN,EAAG,SAASI,EAAU,CAACD,EAAUI,IAAYJ,EAAMG,EAAOH,CAAG,EAAIE,EAAQE,CAAM,CAAE,CAAG,CAAC,EAC9I,IAAM,CAAE,MAAM,IAAI,MAAM,qEAAqEN,GAAgB,CAAG,CAClG,CACpB,CCdO,SAASO,IAA+B,CAE7C,IAAMC,EAAS,OAAO,QAAa,OAAO,kBACpCC,EAAQ,OAAO,OAAS,OAAO,iBAE/BC,EAAQ,OAAO,OAAY,OAAO,iBAElCC,EAAsB,IAAM,CAChC,GAAIH,EAAQ,OAAO,IAAIA,EACvB,MAAM,IAAI,MAAM,4EAA4E,CAC9F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAQ,OAAO,MAGfC,EAAaC,GAAiB,EAEpC,MAAO,CACL,OAAQR,GAAU,KAAM,CAAC,EACzB,yBAA0B,OAAO,0BAA4B,KAAM,CAAC,EACpE,MAAOC,GAAS,KAAM,CAAC,EACvB,UAAW,OAAO,WAAa,KAAM,CAAC,EACtC,MAAO,OAAO,kBAAoB,KAAM,CAAC,EACzC,oBAAAE,EACA,mBAAAC,EACA,mBAAAC,EACA,MAAAC,EACA,GAAGC,CACL,CACF,CC3CO,SAASE,IAAqB,CACnC,OAAO,OAAO,QAAW,UACpB,OAAO,UAAa,aACpB,OAAO,kBAAqB,aAC5B,OAAO,mBAAsB,aAC7B,OAAO,kBAAqB,aAC5B,OAAO,WAAc,aACrB,OAAO,0BAA6B,WAC3C,CCDA,IAAIC,GAEJ,SAASC,KAAsB,CAC7B,GAAI,CAACD,GACH,MAAM,IAAI,MAAM,uEAAuE,EAEzF,OAAOA,EACT,CAEA,SAASE,GAAOC,EAAkB,CAChCH,GAAcG,CAChB,CAEA,SAASC,IAAa,CAGpB,OAAIC,GAAU,EAAUH,GAAOI,GAAiB,CAAC,EAC7CC,GAAS,EAAUL,GAAOM,GAAgB,CAAC,EACxC,IACT,CAEA,SAASC,IAAYN,EAA2B,CAK9C,GAJKH,IACHI,GAAW,EAGT,CAACJ,GACH,MAAM,IAAI,MAAM,4EAA4E,EAG9F,GAAM,CAAE,OAAAU,EAASV,GAAY,OAAQ,MAAAW,EAAQX,GAAY,KAAM,EAAIG,EACnEH,GAAY,OAASU,EACrBV,GAAY,MAAQW,EACpBX,GAAY,oBAAsBG,EAAI,sBAAwB,IAAM,IAAIO,GACxEV,GAAY,mBAAqBG,EAAI,qBAAuB,IAAM,IAAIQ,GAEtEX,GAAY,UAAYG,EAAI,WAAaH,GAAY,UACrDA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,SAAWG,EAAI,UAAYH,GAAY,QACrD,CAEO,IAAMG,GAAM,CACjB,OAAAF,IACA,OAAAC,GACA,WAAAE,GACA,iBAAAE,GACA,iBAAAM,GACA,gBAAAJ,GACA,YAAAC,IACA,UAAAJ,GACA,SAAAE,EACF,EAEAH,GAAW,EC3DJ,SAASS,GAAaC,EAAmB,CAC9C,MAAI,CAACC,GAAI,SAAS,GAAK,OAAOD,GAAQ,SAC7B,SAAS,eAAeA,CAAG,EAE7BA,CACT,CCJO,SAASE,GAAoBC,EAA4F,CAC9H,GAAM,CAAE,OAAAC,EAAQ,yBAAAC,CAAyB,EAAIC,GAAI,OAAO,EAExD,GAAIH,aAAqBE,EACvB,OAAOF,EAGT,IAAMI,EAASC,GAAaL,CAAS,EAErC,GAAI,EAAEI,aAAkBH,GACtB,MAAM,IAAI,MAAM,gEAAgE,EAGlF,IAAMK,EAAMF,EAAO,WAAW,IAAI,EAClC,GAAI,CAACE,EACH,MAAM,IAAI,MAAM,8CAA8C,EAGhE,OAAOA,CACT,CChBO,IAAKC,QAEVA,EAAA,SAAW,WAEXA,EAAA,UAAY,YAEZA,EAAA,YAAc,cAEdA,EAAA,aAAe,eARLA,QAAA,IAoBCC,GAAN,KAA4D,CAajE,YAAYC,EAAiC,CAAC,EAAG,CAC/C,GAAM,CACJ,eAAAC,EAAgB,gBAAAC,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnE,EAAIN,EACJ,KAAK,eAAiBC,GAAkB,WACxC,KAAK,gBAAkBC,GAAmB,qBAC1C,KAAK,UAAYC,GAAa,yBAC9B,KAAK,SAAWC,GAAY,GAC5B,KAAK,UAAYC,GAAa,UAC9B,KAAK,QAAUC,GAAW,CAC5B,CACF,EAEaC,GAAN,KAAoB,CAOzB,YACEC,EACAC,EACAT,EAAiC,CAAC,EAClC,CAEA,KAAK,KAAO,OAAOQ,GAAS,SACxB,CAACA,CAAI,EACJA,aAAgBD,GAAgBC,EAAK,KAAOA,EACjD,KAAK,OAASC,EACd,KAAK,QAAU,IAAIV,GAAqBC,CAAO,CACjD,CAEA,aAAaU,EAAuC,CAClD,GAAM,CAAE,QAAAJ,CAAQ,EAAI,KAAK,QACzB,OAAO,KAAK,KAAK,IAAKK,GAAMD,EAAI,YAAYC,CAAC,EAAE,KAAK,EAAE,OAAO,CAACC,EAAIC,IAAQD,EAAKC,EAAKA,EAAKD,EAAK,CAAC,EAAK,EAAIN,CAC1G,CAEA,eAAwB,CACtB,GAAM,CAAE,SAAAF,EAAU,QAAAE,CAAQ,EAAI,KAAK,QACnC,OAAO,KAAK,KAAK,OAASF,EAAY,EAAIE,CAC5C,CAEA,aAAaI,EAA+BI,EAAkC,CAC5E,GAAM,CAAE,eAAAb,CAAe,EAAI,KAAK,QAC1Bc,EAAcd,IAAmB,gBAA+BA,IAAmB,YACnFe,EAAaf,IAAmB,eAA8BA,IAAmB,eAEjFgB,EAAiB,KAAK,aAAaP,CAAG,EACtCQ,EAAkB,KAAK,cAAc,EACrCC,EAAKJ,EAAc,KAAK,OAAO,EAAIE,EAAiB,KAAK,OAAO,EAChEG,EAAIJ,EAAa,KAAK,OAAO,EAAIE,EAAkB,KAAK,OAAO,EAGrE,GAAIJ,EAAY,CACd,GAAM,CAAE,MAAAO,EAAO,OAAAC,CAAO,EAAIR,EACpBS,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAAQJ,CAAc,EAAG,CAAC,EACtDO,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAASJ,CAAe,EAAG,CAAC,EAC9D,MAAO,CAAE,EAAGK,EAAM,EAAGC,CAAK,CAC5B,CACA,MAAO,CAAE,EAAAL,EAAG,EAAAC,CAAE,CAChB,CAEA,KAAKK,EAAkE,CACrE,IAAMC,EAASC,GAAaF,CAAS,EAC/Bf,EAAMkB,GAAoBF,CAAM,EAEhC,CACJ,gBAAAxB,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnD,EAAI,KAAK,QAETI,EAAI,KAAO,GAAGN,OAAcC,IAC5B,IAAMwB,EAAe,KAAK,aAAanB,CAAG,EACpCoB,EAAa,KAAK,cAAc,EAEtCpB,EAAI,UAAYR,EAChB,IAAM6B,EAAY,KAAK,aAAarB,EAAKgB,CAAM,EAC/ChB,EAAI,SAASqB,EAAU,EAAGA,EAAU,EAAGF,EAAcC,CAAU,EAE/DpB,EAAI,UAAYP,EAChB,KAAK,KAAK,QAAQ,CAAC6B,EAAUC,IAAM,CACjC,IAAMd,EAAIb,EAAUyB,EAAU,EACxBX,EAAId,EAAUyB,EAAU,GAAME,EAAI,GAAK7B,EAC7CM,EAAI,SAASsB,EAAUb,EAAGC,CAAC,CAC7B,CAAC,CACH,CACF,ECjHO,IAAMc,GAAN,KAAqB,CAS1B,YAAYC,EAA2B,CAAC,EAAG,CACzC,GAAM,CACJ,SAAAC,EAAU,UAAAC,EAAW,MAAAC,EAAO,iBAAAC,CAC9B,EAAIJ,EACJ,KAAK,SAAWC,GAAY,qBAC5B,KAAK,UAAYC,GAAa,EAC9B,KAAK,MAAQC,EAEb,IAAME,EAA0B,CAC9B,6BACA,gBAAiB,KAAK,QACxB,EACA,KAAK,iBAAmB,IAAIC,GAAqB,CAAE,GAAGD,EAAyB,GAAGD,CAAiB,CAAC,CACtG,CACF,EAEaG,GAAN,KAAc,CAKnB,YACEC,EACAR,EAA2B,CAAC,EAC5B,CACA,KAAK,IAAM,IAAIS,GAAID,CAAG,EACtB,KAAK,QAAU,IAAIT,GAAeC,CAAO,CAC3C,CAEA,KAAKU,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CAAE,SAAAT,EAAU,UAAAC,CAAU,EAAI,KAAK,QAE/B,CACJ,EAAAW,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KAAK,IACTL,EAAI,YAAcV,EAClBU,EAAI,UAAYT,EAChBS,EAAI,WAAWE,EAAGC,EAAGC,EAAOC,CAAM,EAElC,GAAM,CAAE,MAAAb,CAAM,EAAI,KAAK,QACnBA,GACF,IAAIc,GAAc,CAACd,CAAK,EAAG,CAAE,EAAGU,EAAKX,EAAY,EAAI,EAAAY,CAAE,EAAG,KAAK,QAAQ,gBAAgB,EAAE,KAAKJ,CAAS,CAE3G,CACF,EC3DO,SAASQ,IACdC,EACAC,EACA,EACwB,MAAM,QAAQA,CAAU,EAAIA,EAAa,CAACA,CAAU,GAE5D,QAASC,GAAQ,CAE/B,IAAMC,EAAQD,aAAeE,GACzBF,EAAI,MACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,MAAQ,OAGhDI,EAAMJ,aAAeE,GACvBF,EAAI,IACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,IAAM,IAAIK,GAAIL,CAAG,EAEzDM,EAAQL,EAAQ,GAAGM,GAAMN,CAAK,IAAM,OAC1C,IAAIO,GAAQJ,EAAK,CAAE,MAAAE,CAAM,CAAC,EAAE,KAAKR,CAAS,CAC5C,CAAC,CACH,CC1BO,SAASW,GAAcC,EAAsD,CAClF,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAQH,aAAiBC,GAASD,EAAM,UAClCA,aAAiBE,GAASF,EAAM,YAAc,CACtD,CCJO,SAASI,GAAiBC,EAAgE,CAE/F,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,EAClCF,aAAiBG,GAAI,OAAO,EAAE,QAAUC,GAAcJ,CAAK,IAAGC,EAAQ,IAAI,EAE9E,SAASI,EAAQC,EAAU,CACrB,CAACA,EAAE,gBAEPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDH,EAAOI,CAAC,EACV,CAEA,SAASC,EAAOD,EAAU,CACpB,CAACA,EAAE,gBACPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDJ,EAAQK,CAAC,EACX,CAEAN,EAAM,iBAAiB,OAAQO,CAAM,EACrCP,EAAM,iBAAiB,QAASK,CAAO,CACzC,CAAC,CACH,CCxBO,SAASG,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAChG,IAAMC,EAAS,IAAI,WACnBA,EAAO,OAAS,IAAM,CAChB,OAAOA,EAAO,QAAW,UAAUD,EAAO,IAAI,MAAM,kEAAkE,CAAC,EAC3H,IAAME,EAAMC,GAAI,OAAO,EAAE,mBAAmB,EAC5CD,EAAI,OAAS,IAAMH,EAAQG,CAAG,EAC9BA,EAAI,QAAUF,EACdE,EAAI,IAAMD,EAAO,MACnB,EACAA,EAAO,QAAUD,EACjBC,EAAO,cAAcH,CAAG,CAC1B,CAAC,CACH,CCbO,SAASM,GAAmBC,EAA0F,CAC3H,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAIH,aAAiBC,EACZ,IAAIG,GAAWJ,EAAM,aAAcA,EAAM,aAAa,EAE3DA,aAAiBE,EACZ,IAAIE,GAAWJ,EAAM,WAAYA,EAAM,WAAW,EAEpD,IAAII,GAAWJ,EAAM,MAAOA,EAAM,MAAM,CACjD,CCPO,SAASK,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAmC,CAC9E,GAAM,CAAE,oBAAAC,CAAoB,EAAIC,GAAI,OAAO,EACrCC,EAASF,EAAoB,EACnC,OAAAE,EAAO,MAAQJ,EACfI,EAAO,OAASH,EACTG,CACT,CAEO,SAASC,GAAsBC,EAAwDC,EAAuC,CACnI,GAAM,CAAE,UAAAC,CAAU,EAAIL,GAAI,OAAO,EAEjC,GAAI,EAAEG,aAAiBE,IAAc,CAACC,GAAcH,CAAK,EACvD,MAAM,IAAI,MAAM,4DAA4D,EAG9E,GAAM,CAAE,MAAAN,EAAO,OAAAC,CAAO,EAAIM,GAAQG,GAAmBJ,CAAK,EACpDF,EAASL,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,CAAC,EAE7C,OAAIK,aAAiBE,EACnBG,GAAoBP,CAAM,EAAE,aAAaE,EAAO,EAAG,CAAC,EAEpDK,GAAoBP,CAAM,EAAE,UAAUE,EAAO,EAAG,EAAGN,EAAOC,CAAM,EAE3DG,CACT,CCzBA,eAAsBQ,GACpBC,EACAC,EAC4B,CAC5B,IAAMC,EAAeD,GAAUE,GAAI,OAAO,EAAE,oBAAoB,EAE1D,CAACC,EAAQC,EAAOC,CAAW,EAAIN,EAAU,MAAM,MAAMO,GAAWP,CAAS,EAAI,EAAI,CAAC,EAClFQ,EAAiBC,EAAK,IAAMT,EAAU,KAAKI,EAAQC,EAAOC,CAAW,EAAE,MAAM,CAAC,EACpF,aAASI,GAAW,SAASF,EAAaN,CAAY,EAEtDM,EAAY,QAAQ,EAEbN,CACT,CChBO,SAASS,GAAeC,EAAY,CACzC,GAAM,CAAE,MAAAC,EAAO,OAAAC,EAAQ,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAE5C,OAAOJ,aAAiBC,GACnBD,aAAiBE,GACjBF,aAAiBG,CACxB,CCHO,SAASE,GAAcC,EAA6CC,EAAmBC,EAAc,GAAO,CACjH,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAErC,GAAI,EAAEL,aAAiBG,GAASH,aAAiBI,GAC/C,MAAM,IAAI,MAAM,0EAA0E,EAG5F,GAAIH,GAAa,EAAG,OAAOK,GAAa,CAAE,MAAO,EAAG,OAAQ,CAAE,CAAC,EAC/D,IAAMC,EAAOC,GAAmBR,CAAK,EAC/BS,EAAQR,EAAY,KAAK,IAAIM,EAAK,OAAQA,EAAK,KAAK,EACpDG,EAAQD,EAAQF,EAAK,MACrBI,EAASF,EAAQF,EAAK,OAEtBK,EAAeN,GAAa,CAAE,MAAOL,EAAW,OAAQA,CAAU,CAAC,EACnEY,EAAcb,aAAiBI,EAASJ,EAAQc,GAAsBd,CAAK,EAE3Ee,EAAS,KAAK,IAAIL,EAAQC,CAAM,EAAI,EACpCK,EAAKd,GAAeQ,EAAQC,EAASI,EAAS,EAC9CE,EAAKf,GAAeS,EAASD,EAAQK,EAAS,EACpD,OAAIF,EAAY,MAAQ,GAAKA,EAAY,OAAS,GAAGK,GAAoBN,CAAY,EAAE,UAAUC,EAAaG,EAAIC,EAAIP,EAAOC,CAAM,EAE5HC,CACT,CCjBO,IAAMO,GAAN,KAAe,CAapB,YAAYC,EAAkCC,EAAoB,GAAO,CAZzE,KAAQ,cAAkD,CAAC,EAE3D,KAAQ,UAAiC,CAAC,EAI1C,KAAQ,mBAAqB,GAE7B,KAAQ,iBAA+B,CAAC,EAExC,KAAQ,WAAa,EAGnB,GAAI,CAAC,MAAM,QAAQD,CAAM,EACvB,MAAM,IAAI,MAAM,4HAA4HA,GAAQ,EAGtJ,KAAK,mBAAqBC,EAC1B,KAAK,WAAaD,EAAO,OAEzBA,EAAO,QAAQ,CAACE,EAAOC,IAAQ,CAC7B,GAAIC,GAAWF,CAAK,EAAG,CACrB,KAAK,cAAcC,GAAOD,EAC1B,KAAK,iBAAiBC,GAAOD,EAAM,MACnC,MACF,CAEA,GAAIG,GAAWH,CAAK,EAAG,CACrB,IAAMI,EAAaJ,EAAc,MAAM,GACvC,GAAII,IAAc,EAChB,MAAM,IAAI,MAAM,yCAAyCA,4CAAoD,EAG/G,KAAK,cAAcH,GAAOD,EAC1B,KAAK,iBAAiBC,GAAQD,EAAc,MAAM,MAAM,CAAC,EACzD,MACF,CAGA,IAAMK,EAAUL,aAAyBM,GAAI,OAAO,EAAE,OAASN,EAAQO,GAAsBP,CAAK,EAClG,KAAK,UAAUC,GAAOI,EACtB,KAAK,iBAAiBJ,GAAO,CAACI,EAAO,OAAQA,EAAO,MAAO,CAAC,CAC9D,CAAC,CACH,CAEA,IAAW,cAAiD,CAC1D,OAAO,KAAK,aACd,CAEA,IAAW,UAAgC,CACzC,OAAO,KAAK,SACd,CAEA,IAAW,cAAwB,CACjC,OAAO,KAAK,UAAY,GAAK,KAAK,kBACpC,CAEA,IAAW,WAAoB,CAC7B,OAAO,KAAK,UACd,CAEA,IAAW,iBAA8B,CACvC,OAAO,KAAK,gBACd,CAEA,IAAW,WAAgC,CACzC,OAAO,KAAK,UACd,CAEA,IAAW,yBAAwC,CACjD,OAAOG,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IACjC,CAACC,EAAGC,IAAa,KAAK,2BAA2BA,CAAQ,CAC3D,CACF,CAEO,SAASA,EAAiE,CAC/E,OAAO,KAAK,SAASA,IAAa,KAAK,aAAaA,EACtD,CAEO,mBAAmBA,EAA4B,CACpD,OAAO,KAAK,iBAAiBA,EAC/B,CAEO,eAAeA,EAA0B,CAC9C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,cAAcA,EAA0B,CAC7C,OAAO,KAAK,iBAAiBA,GAAU,EACzC,CAEO,2BAA2BA,EAA8B,CAC9D,GAAI,OAAO,KAAK,WAAc,SAC5B,MAAM,IAAI,MAAM,uFAAuF,EAGzG,IAAMC,EAAQ,KAAK,cAAcD,CAAQ,EACnCE,EAAS,KAAK,eAAeF,CAAQ,EAC3C,OAAOG,GAA0B,CAAE,MAAAF,EAAO,OAAAC,CAAO,EAAG,KAAK,SAAS,CACpE,CAWO,cAAcE,EAAmBC,EAAiB,GAAmB,CAC1E,YAAK,WAAaD,EAERE,EAAK,IAAM,CACnB,IAAMC,EAAeT,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IAAKE,GAAa,CACjE,IAAMV,EAAQ,KAAK,SAASU,CAAQ,EAEpC,GAAIV,aAAoBkB,GAAQ,CAC9B,IAAIC,EAAYhB,GAAWH,CAAK,EAAIA,EAAWoB,GAAWpB,CAAK,EAC/D,OAAAmB,EAAYE,GAAYF,EAA0BJ,CAAc,GAE5DI,EAAU,MAAM,KAAOL,GAAaK,EAAU,MAAM,KAAOL,KAC7DK,EAAeG,GAAS,eAAeH,EAA0B,CAACL,EAAWA,CAAS,EAAG,GAAO,EAAK,GAGhGK,EAAU,KAAKL,EAAWA,EAAW,CAAC,CAC/C,CAEA,GAAId,aAAiBM,GAAI,OAAO,EAAE,OAChC,OAAUiB,GAAW,WAAWC,GAAcxB,EAAOc,EAAWC,CAAc,CAAC,EAGjF,MAAM,IAAI,MAAM,+BAA+BL,8FAAqGV,GAAO,CAC7J,CAAC,EAKD,OAHuByB,GAAMR,EAAa,IAAKS,GAASC,GAAKD,EAAG,SAAS,CAAC,CAAC,EAAE,KAAK,KAAK,UAAWZ,EAAWA,EAAW,CAAC,CAI3H,CAAC,CACH,CACF,EC1IA,eAAsBc,GAAWC,EAAsC,CACrE,GAAIA,aAAkBC,GAAU,OAAOD,EACvC,IAAME,EAAgB,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC9D,GAAI,CAACE,EAAc,OAAQ,MAAM,IAAI,MAAM,0CAA0C,EACrF,IAAMC,EAAcC,GAAiB,MAAM,QAAQJ,CAAM,EAAI,mBAAmBI,KAAS,GACnFC,EAAaH,EAAc,IAAII,EAAY,EACjD,OAAAD,EAAW,QAAQ,CAACE,EAAOC,IAAM,CAC/B,GAAI,CAACC,GAAeF,CAAK,GAAK,CAACG,GAAWH,CAAK,GAAK,CAACI,GAAWJ,CAAK,EACnE,MAAI,OAAOL,EAAcM,IAAO,SAAgB,IAAI,MAAM,eAAeL,EAAWK,CAAC,qEAAqEN,EAAcM,IAAI,EACtK,IAAI,MAAM,eAAeL,EAAWK,CAAC,8HAA8H,EAE3K,GAAIG,GAAWJ,CAAK,EAAG,CAErB,IAAMK,EAAYL,EAAM,MAAM,GAC9B,GAAIK,IAAc,EAAG,MAAM,IAAI,MAAM,eAAeT,EAAWK,CAAC,gCAAgCI,4CAAoD,CACtJ,CACF,CAAC,EAED,MAAM,QAAQ,IAAIP,EAAW,IAAKE,GAAUE,GAAeF,CAAK,GAAKM,GAAiBN,CAAK,CAAC,CAAC,EACtF,IAAIN,GAASI,EAAY,MAAM,QAAQL,CAAM,CAAC,CACvD,CClBA,eAAsBc,GAAaC,EAAkBC,EAAuE,CAC1H,GAAM,CAAE,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAC1BC,EAASJ,EACb,GAAI,EAAEA,aAAiBE,GAAS,CAC9B,IAAMG,EAAW,MAAMC,GAAWN,CAAK,EACvC,GAAIK,EAAS,UAAY,EAAG,MAAM,IAAI,MAAM,4CAA4C,EACxF,IAAME,EAAiBF,EAAS,SAAS,CAAC,EAC1CD,EAASG,aAA0BL,EAASK,EAAiB,MAAMC,GAAoBD,CAAc,CACvG,CACA,IAAME,EAAMC,GAAoBN,CAAM,EAItC,OAHcH,EACX,IAAKU,GAASA,aAAeC,GAAgBD,EAAI,QAAQP,EAAO,MAAOA,EAAO,MAAM,EAAE,IAAI,MAAM,EAAIO,CAAI,EACxG,IAAKE,GAAQA,EAAI,mBAAmBT,EAAO,MAAOA,EAAO,MAAM,CAAC,EACtD,IAAI,CAAC,CAAE,EAAAU,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAAM,CAC5C,IAAMC,EAAUC,GAAa,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAC,EAC9C,OAAID,EAAQ,GAAKC,EAAS,GAAGP,GAAoBQ,CAAO,EAAE,aAAaT,EAAI,aAAaK,EAAGC,EAAGC,EAAOC,CAAM,EAAG,EAAG,CAAC,EAC3GC,CACT,CAAC,CACH,CClBA,eAAsBE,GAAmBC,EAAwCC,EAAiE,CAChJ,GAAI,CAACC,GAAWF,CAAW,GAAK,CAACG,GAAWH,CAAW,EACrD,MAAM,IAAI,MAAM,2DAA2D,EAG7E,GAAIG,GAAWH,CAAW,GAAKA,EAAY,MAAM,GAAK,EACpD,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUI,EAAK,IAAM,CACnB,GAAM,CAACC,EAAWC,EAAUC,CAAW,EAAIP,EAAY,MAAM,MAAMG,GAAWH,CAAW,EAAI,EAAI,CAAC,EAMlG,OALcC,EAAW,IAAKO,GAASA,aAAeC,GAAgBD,EAAI,QAAQF,EAAUD,CAAS,EAAE,IAAMG,CAAI,EAC9G,IAAKE,GAAQA,EAAI,mBAAmBJ,EAAUD,CAAS,CAAC,EAExD,OAAQK,GAAQA,EAAI,MAAQ,GAAKA,EAAI,OAAS,CAAC,EAC/C,IAAI,CAAC,CAAE,EAAAC,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAASC,GAAQf,EAAY,KAAKK,EAAWC,EAAUC,CAAW,EAAG,CAACK,EAAGD,EAAG,CAAC,EAAG,CAACG,EAAQD,EAAON,CAAW,CAAC,CAAC,CAE7I,CAAC,CACH,CChCA,eAAsBS,GACpBC,EAEAC,EACmB,CACnB,GAAM,CAAE,MAAAC,CAAM,EAAIC,GAAI,OAAO,EACvBC,EAAM,MAAMF,EAAMF,EAAKC,CAAI,EACjC,GAAI,EAAEG,EAAI,OAAS,KACjB,MAAM,IAAI,MAAM,qBAAqBA,EAAI,WAAWA,EAAI,yBAAyBA,EAAI,KAAK,EAE5F,OAAOA,CACT,CCVA,eAAsBC,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCTA,eAAsBE,GAAaC,EAAyB,CAC1D,OAAQ,MAAMC,GAAaD,CAAG,GAAG,KAAK,CACxC,CCFA,eAAsBE,IAAgBC,EAAoC,CACxE,OAAO,IAAI,aAAa,MAAO,MAAMC,GAAaD,CAAG,GAAG,YAAY,CAAC,CACvE,CCFO,SAASE,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAEhG,IAAMC,EAAQC,GAAI,OAAO,EAAE,mBAAmB,EAC9CD,EAAM,UAAY,IAAMF,EAAQE,CAAK,EACrCA,EAAM,QAAUD,EAChBC,EAAM,YAAc,GACpBA,EAAM,MAAQ,GACdA,EAAM,IAAM,IAAI,gBAAgBH,CAAG,EACnCG,EAAM,KAAK,CACb,CAAC,CACH,CCXA,eAAsBE,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCXO,SAASE,GAAaC,EAAyBC,EAA0B,CAC9E,IAAMC,EAA0B,GAAGD,0BAEnC,GAAI,CAACD,EACH,MAAO,CACL,aAAc,GACd,YAAaE,CACf,EAGF,GAAIF,IAAQ,IACV,MAAO,CACL,aAAc,IACd,YAAa,IAAIE,GACnB,EAGF,IAAMC,EAAWH,EAAI,WAAW,SAAS,EAAI,UAAYA,EAAI,WAAW,UAAU,EAAI,WAAa,GACnGA,EAAMA,EAAI,QAAQG,EAAU,EAAE,EAE9B,IAAMC,EAAQJ,EAAI,MAAM,GAAG,EAAE,OAAQK,GAAMA,CAAC,EAEtCC,EAAeN,EAAI,SAAS,OAAO,EACrCI,EAAMA,EAAM,OAAS,GACrBF,EAEAK,EAAeJ,GAAYH,EAAI,SAAS,OAAO,EAAII,EAAM,MAAM,EAAGA,EAAM,OAAS,CAAC,EAAIA,GAAO,KAAK,GAAG,EACzG,OAAAG,EAAeP,EAAI,WAAW,GAAG,EAAI,IAAIO,IAAiBA,EAEnD,CACL,aAAAA,EACA,YAAaA,IAAiB,IAAM,IAAID,IAAiB,GAAGC,KAAgBD,GAC9E,CACF,CC5BA,eAAsBE,GACpBC,EACAC,EAC4B,CAC5B,GAAM,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaJ,EAAKC,CAAgB,EAElEI,EAAW,MAAMC,GAAuCJ,CAAW,EAEzE,OAAUK,GAAM,YAAYF,EAAUF,CAAY,CACpD,CCXO,SAASK,IAAgBC,EAAoBC,EAAwBC,EAAqB,GAAO,CACtG,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIF,EACtBG,GAAmBJ,CAAS,EAC5BA,EACJ,OAAAD,EAAM,MAAQG,EACdH,EAAM,OAASI,EACR,CAAE,MAAAD,EAAO,OAAAC,CAAO,CACzB,CCHO,IAAeE,GAAf,KAAyC,CAC9C,YAAYC,EAAc,CAI1B,KAAU,QAAkC,OAE5C,KAAU,eAAiC,CAAC,EAL1C,KAAK,MAAQA,CACf,CAQA,IAAW,QAAiC,CAAE,OAAO,KAAK,OAAS,CAEnE,IAAW,eAAgC,CAAE,OAAO,KAAK,cAAgB,CAEzE,IAAW,UAAoB,CAAE,MAAO,CAAC,CAAC,KAAK,MAAQ,CAEhD,iBAAiBC,EAA8B,CACpD,GAAM,CAAE,IAAAC,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5D,OAAOC,EAAIC,EACb,CAEO,sBAAsBF,EAAmBG,EAAmB,CACjE,GAAM,CAAE,IAAAF,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5DC,EAAIC,GAAS,QAAQ,EACrBD,EAAIC,GAAWC,CACjB,CAEO,cAAe,CACpB,OAAO,KAAK,eAAe,IAAI,CAAC,CAAE,UAAAH,CAAU,KAAO,CACjD,KAAMA,EACN,OAAQ,KAAK,iBAAiBA,CAAS,CACzC,EAAE,CACJ,CAEO,oBAAqB,CAC1B,OAAO,KAAK,aAAa,EAAE,OAAQI,GAAUA,EAAM,kBAAqBC,EAAQ,CAClF,CAEO,iBAAkB,CACvB,OAAO,KAAK,aAAa,EAAE,OAAQD,GAAU,EAAEA,EAAM,kBAAqBC,GAAS,CACrF,CAEO,UAAW,CAChB,KAAK,gBAAgB,EAAE,QAAQ,CAAC,CAAE,KAAAC,EAAM,OAAAH,CAAO,IAAM,CACnD,KAAK,sBAAsBG,EAAMH,EAAO,SAAS,CAAC,CACpD,CAAC,CACH,CAEO,QAAS,CACd,KAAK,mBAAmB,EAAE,QAAQ,CAAC,CAAE,KAAAG,EAAM,OAAQC,CAAS,IAAM,CAChE,IAAMJ,EAAYK,GAAOD,EAAS,SAAS,CAAC,EAC5CA,EAAS,QAAQ,EACjB,KAAK,sBAAsBD,EAAMH,CAAM,CACzC,CAAC,CACH,CAEO,QAAQM,EAAmB,GAAM,CACtC,KAAK,aAAa,EAAE,QAASL,GAAU,CACrC,GAAIK,GAAoBL,EAAM,OAAO,WACnC,MAAM,IAAI,MAAM,mDAAmDA,EAAM,MAAM,EAEjFA,EAAM,OAAO,QAAQ,CACvB,CAAC,EACD,KAAK,QAAU,MACjB,CAEO,iBAAgC,CACrC,OAAO,IAAI,aACT,KAAK,aAAa,EACf,IAAI,CAAC,CAAE,OAAAD,CAAO,IAAM,MAAM,KAAKA,EAAO,SAAS,CAAC,CAAa,EAC7D,OAAO,CAACO,EAAMC,IAAQD,EAAK,OAAOC,CAAG,CAAC,CAC3C,CACF,CAEA,MAAa,KAAKC,EAAgE,CAChF,GAAIA,aAAwB,aAAc,CACxC,KAAK,eAAeA,CAAY,EAChC,MACF,CACA,MAAM,KAAK,YAAYA,CAAY,CACrC,CAEA,MAAa,YAAYC,EAAyB,CAChD,GAAIA,GAAO,OAAOA,GAAQ,SACxB,MAAM,IAAI,MAAM,GAAG,KAAK,wCAAwC,EAElE,IAAMC,EAAY,MAAMC,GAAcF,EAAK,KAAK,oBAAoB,CAAC,EACrE,KAAK,kBAAkBC,CAAS,CAClC,CAEA,MAAa,aAAaE,EAA8B,CACtD,GAAIA,GAAY,OAAOA,GAAa,SAClC,MAAM,IAAI,MAAM,GAAG,KAAK,+CAA+C,EAEzE,GAAM,CAAE,SAAAC,CAAS,EAAIC,GAAI,OAAO,EAC1B,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaL,EAAU,KAAK,oBAAoB,CAAC,EACjFM,EAAwBC,GAAwB,QAAQ,IAAIA,EAAU,IAAKC,GAAOP,EAASO,CAAE,EAAE,KAAMC,GAAQA,EAAI,MAAM,CAAC,CAAC,EACzHC,EAAiBC,GAAM,qBAAqBL,CAAoB,EAChEM,EAAW,KAAK,OAAO,MAAMX,EAASE,CAAW,GAAG,SAAS,CAAC,EAC9DL,EAAY,MAAMY,EAAYE,EAAUR,CAAY,EAC1D,KAAK,kBAAkBN,CAAS,CAClC,CAEO,kBAAkBA,EAA8B,CACrD,GAAM,CAAE,cAAAe,EAAe,OAAAC,CAAO,EAAI,KAAK,2BAA2BhB,CAAS,EAC3E,KAAK,eAAiBe,EACtB,KAAK,QAAUC,CACjB,CAEO,eAAeC,EAAuB,CAC3C,GAAM,CAAE,cAAAF,EAAe,OAAAC,CAAO,EAAI,KAAK,cAAcC,CAAO,EAC5D,KAAK,eAAiBF,EACtB,KAAK,QAAUC,CACjB,CAEQ,qBAAqB9B,EAAmB,CAC9C,GAAI,CAAC,KAAK,OACR,MAAM,IAAI,MAAM,mDAAmD,EAGrE,IAAMgC,EAAShC,EAAU,MAAM,GAAG,EAAE,OAAO,CAACiC,EAAoD/B,IAAY,CAE1G,GAAI,CAAC+B,EAAI,QAAQ,eAAe/B,CAAO,EACrC,MAAM,IAAI,MAAM,wDAAwDA,eAAqBF,GAAW,EAE1G,MAAO,CAAE,IAAKiC,EAAI,QAAS,QAAA/B,EAAS,QAAS+B,EAAI,QAAQ/B,EAAS,CACpE,EAAG,CAAE,QAAS,KAAK,MAAO,CAAC,EAErB,CAAE,IAAAD,EAAK,QAAAC,CAAQ,EAAI8B,EACzB,GAAI,CAAC/B,GAAO,CAACC,GAAW,EAAED,EAAIC,aAAuBgC,IACnD,MAAM,IAAI,MAAM,8DAA8DlC,GAAW,EAG3F,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CASF,ECnJO,SAASiC,GACdC,EACAC,EACAC,EACa,CACb,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,iBAAkBA,EAAO,iBAAkBC,EAAQ,MAAM,EAChG,OAAAE,EAASE,EAAIF,EAAKH,EAAO,IAAI,EACtBG,CACT,CAAC,CACH,CCRO,SAASG,GACdC,EACAC,EACAC,EAAe,GACF,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAAS,CAAC,EAAG,CAAC,EAAG,MAAM,EAC3EA,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8B,CAAC,EAAG,CAAC,CAAC,CACrF,EACMQ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,CACjD,CAAC,CACH,CAEO,SAASC,GACdZ,EACAC,EACAC,EAAe,GACfW,EAAc,GACD,CACb,OAAUV,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAASY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,EAAG,MAAM,EAClGZ,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8BY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CAAC,CAC5G,EACMJ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEjEa,EAAST,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,EAC9CI,EAAOP,GAAuBM,EAAKb,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAASH,EAAIK,EAAMI,CAAI,CAAC,CAAC,CAAC,CAC/D,CAAC,CACH,CClDO,SAASC,GACdC,EACAC,EACAC,EAA4B,OAC5BC,EAAW,GACE,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EACVC,GAAOP,EAAGC,EAAO,QAAS,CAAC,EAAG,CAAC,EAAGC,CAAO,EAC5CD,EAAO,IACT,EAEA,OAAOE,EAAcK,GAAKH,CAAG,EAAIA,CACnC,CAAC,CACH,CChBO,SAASI,GAA2BC,EAAgBC,EAA+B,CACxF,OAAO,KAAKD,CAAS,EAAE,QAASE,GAAS,CAClCD,EAAc,KAAME,GAAOA,EAAG,eAAiBD,CAAI,GACtDF,EAAUE,GAAM,QAAQ,CAE5B,CAAC,CACH,CCJO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,EACAC,IACe,CACf,IAAMC,EAAaC,GACjBP,EAAeE,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGI,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAE,CAAK,CACzB,CACF,CCvBO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,IACa,CACb,IAAMC,EAAgBC,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAACD,EAAYC,CAAW,CAAC,EAC5FI,EAAaC,GAASR,EAAeG,CAAW,CAAC,EAEvD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CACL,QAASC,EACT,KAAME,CACR,CACF,CACF,CCNO,IAAME,GAAN,KAA0B,CAE/B,YAESC,EAEAC,EAEAC,EAEP,CANO,sBAAAF,EAEA,sBAAAC,EAEA,UAAAC,CAEN,CACL,EC3BO,SAASC,GACdC,EACAC,EACA,CACA,MAAO,CAACC,EAAoBC,EAAqBC,IAA8C,CAC7F,IAAMC,EAAsBC,GAASN,EAAe,EAAQE,CAAU,EAAG,CAAC,EAAG,EAAGA,EAAY,CAAC,CAAC,EACxFK,EAAsBD,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAAC,EAAG,EAAGD,EAAYC,CAAW,CAAC,EACxGK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,oBAAgC,EAChD,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,IAAIM,GACTL,EACAE,EACAC,CACF,CACF,CACF,CAEO,SAASG,GAEdC,EACA,CACA,OAAQC,GAAwC,CAC9C,IAAMR,EAAmBO,EAAgC,GAAGC,qBAA2B,CAAC,EAClFN,EAAmBK,EAAgC,GAAGC,qBAA2B,CAAC,EAClFL,EAAOI,EAAgC,GAAGC,SAAe,CAAC,EAEhE,OAAO,IAAIH,GACTL,EACAE,EACAC,CACF,CACF,CACF,CCvCO,SAASM,GAA0BC,EAAgBC,EAA+B,CACvF,MAAO,CAACC,EAAsBC,EAAmBC,IAAwB,CACvE,IAAMC,EAASL,EAAUE,GAEzB,GAAI,CAACI,GAASD,EAAQF,CAAS,EAC7B,MAAM,IAAI,MAAM,sBAAsBD,oBAA+BC,oBAA4BE,GAAQ,EAG3G,OAAAJ,EAAc,KACZ,CAAE,aAAAC,EAAc,UAAWE,GAAcF,CAAa,CACxD,EAEOG,CACT,CACF,CCjBO,SAASE,GAAsBC,EAAuB,CAC3D,IAAIC,EAAmBD,EAEvB,SAASE,EAAeC,EAAkC,CACxD,IAAMC,EAAMH,EAAiB,MAAM,EAAGE,CAAU,EAChD,OAAAF,EAAmBA,EAAiB,MAAME,CAAU,EAC7CC,CACT,CAEA,SAASC,GAAoC,CAC3C,OAAOJ,CACT,CAEA,MAAO,CACL,eAAAC,EACA,oBAAAG,CACF,CACF,CCdO,SAASC,GAAkBC,EAAwCC,EAA+B,CACvG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAAyBC,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,IAAMC,EAAQD,EACVR,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,SAAoB,EACrEL,EAA2BG,EAAYC,EAAa,GAAGC,SAAoB,EACzEG,EAAQR,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EACpFI,EAAQT,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBP,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,GAAM,CAAE,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAAM,EAAIP,EAAyBC,EAAYC,EAAaC,EAAcC,CAAY,EACtGK,EAAQX,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAT,EACA,yBAAAQ,CACF,CACF,CC1BO,SAASE,GAAcC,EAA8F,CAC1H,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EACnDK,EAASL,EAAyB,IAAK,IAAK,QAAQ,EAE1D,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CACN,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,EAAQ,OAAAC,CAC1B,CACF,CACF,CC1BO,SAASC,GAAsBC,EAAuE,CAC3G,OAAQC,GAA+B,CACrC,IAAMC,EAAUF,EAAgC,GAAGC,YAAkB,CAAC,EAChEE,EAAOH,EAAgC,GAAGC,SAAe,CAAC,EAEhE,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CACF,CCRO,SAASC,GAAkBC,EAAgBC,EAA+B,CAC/E,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAAyBC,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBL,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EACpDM,EAAQT,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAP,EACA,yBAAAM,CACF,CACF,CC/BO,SAASE,GACdC,EACuE,CACvE,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCfO,IAAMK,GAAN,cAAmCC,EAAuG,CAC/I,aAAc,CACZ,MAAM,sBAAsB,CAC9B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,oDAAoD,EAGtE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAEtCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,8BACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EChDO,SAASE,GACdC,EACAC,EACa,CACb,OAAUC,EAAK,IAASC,EACnBC,GAAOJ,EAAGC,EAAO,OAAO,EAC3BA,EAAO,IACT,CAAC,CACH,CCTO,SAASI,GAAcC,EAAuBC,EAAoBC,EAA2E,CAClJ,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBN,CAAO,EAI3BO,EAFkBC,GAAuBJ,EAAgBD,CAAa,EAEjDF,EAAYC,EAAa,IAAI,EAExD,GAAIG,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAAI,CAAG,CACf,CACF,CClBO,SAASE,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAIJ,EAAgB,IAAI,CAC1B,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,SAASS,GAAmBC,EAA8B,CAC/D,IAAMC,EAAyC,CAAC,EAC1CC,EAAmC,CAAC,EAE1C,cAAO,KAAKF,CAAS,EAAE,QAASG,GAAQ,CACtC,IAAMC,EAAMD,EAAI,WAAW,IAAI,EAAID,EAAgBD,EACnDG,EAAID,GAAOH,EAAUG,EACvB,CAAC,EAEM,CAAE,oBAAAF,EAAqB,cAAAC,CAAc,CAC9C,CCDO,IAAeG,GAAf,cAGGC,EAAyB,CAGjC,YAAYC,EAAeC,EAA+D,CACxF,MAAMD,CAAK,EACX,KAAK,sBAAwBC,CAC/B,CAEA,IAAW,sBAAgE,CACzE,OAAO,KAAK,qBACd,CAQO,OAAOC,EAA4C,CACxD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EACJ,OAAOK,GAAoBF,EAAmB,KAAKA,EAAmB,MAAM,GAAI,EAAE,EAAGF,EAAO,EAAE,CAChG,CAAC,CACH,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAN,EAAQ,cAAAO,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUN,EACf,KAAK,eAAiBO,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,EAAS,KAAK,wBAAwB,EAAG,KAAK,yBAAyB,CAAC,CAC/F,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAC7C,IAAMQ,EAAM,KAAK,wBAAwB,EACnCC,EAAO,KAAK,yBAAyB,EACrCC,EAAwBD,EAAOD,EAAOC,EAEtCE,EAA0BX,EAAQ,MAAM,EAAGA,EAAQ,OAASU,CAAoB,EAChFE,EAAoBZ,EAAQ,MAAMA,EAAQ,OAASU,CAAoB,EAE7E,YAAK,qBAAqB,eAAeC,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,ECjFO,IAAMC,GAAyB,CAAC,UAAW,QAAS,MAAO,QAAS,UAAW,YAAa,WAAW,EAEjGC,GAAN,KAAsB,CAS3B,YAAYC,EAAwC,CARpD,KAAO,QAAU,EACjB,KAAO,MAAQ,EACf,KAAO,IAAM,EACb,KAAO,MAAQ,EACf,KAAO,QAAU,EACjB,KAAO,UAAY,EACnB,KAAO,UAAY,EAGjB,GAAIA,EAAc,SAAW,EAC3B,MAAM,IAAI,MAAM,8EAA8EA,EAAc,QAAQ,EAGtHF,GAAuB,QAAQ,CAACG,EAAYC,IAAQ,CAClD,KAAKD,GAAcD,EAAcE,EACnC,CAAC,CACH,CAEA,eAAgB,CACd,OAAOJ,GACJ,IAAKG,IAAgB,CAAE,WAAAA,EAAY,YAAa,KAAKA,EAAsB,EAAE,EAC7E,KAAK,CAACE,EAAIC,IAAOA,EAAG,YAAcD,EAAG,WAAW,CACrD,CACF,EClBO,IAAME,GAAN,cAAgCC,EAA0C,CAC/E,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEO,aAAaE,EAA4C,CAC9D,OAAUC,EAAK,IAASC,GAAQ,KAAK,OAAOF,CAAK,CAAC,CAAC,CACrD,CAEA,MAAa,QAAQA,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMG,GAAWH,CAAK,CAAC,CAClD,CAEA,MAAa,mBAAmBA,EAAkB,CAChD,IAAMI,EAAW,MAAMD,GAAWH,CAAK,EACjCK,EAAM,MAAM,KAAK,aAAaD,CAAQ,EACtCE,EAAsB,MAAM,QAAQ,IAAOC,GAAQF,CAAG,EAAE,IAAI,MAAOG,GAAM,CAC7E,IAAMC,EAAOD,EAAE,SAAS,EACxB,OAAAA,EAAE,QAAQ,EACHC,CACT,CAAC,CAAC,EACFJ,EAAI,QAAQ,EAEZ,IAAMK,EAAqBJ,EACxB,IAAKK,GAAiB,IAAIC,GAAgBD,CAA4B,CAAC,EAE1E,OAAOP,EAAS,aACZM,EACAA,EAAmB,EACzB,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CAEU,0BAAmC,CAC3C,MAAO,EACT,CACF,EC9CO,SAASG,GAAsBC,EAA0C,CAC9E,OAAOA,EAAI,uBAAuBC,EACpC,CAEO,SAASC,GAAmCC,EAAoBC,EAA4D,CAEjI,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,YAAAC,CAAY,CACI,CACtC,CCFO,SAASC,IAAoBC,EAAuCC,EAA6EC,EAAgB,GAAKC,EAA0B,EACxK,MAAM,QAAQF,CAAe,EAAIA,EAAkB,CAACA,CAAe,GAE3E,QAASG,GAAM,CAElC,IAAMC,EAAOD,aAAaE,GACtBF,EACCG,GAAsBH,CAAC,EAAIA,EAAE,YAAc,OAChD,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,iHAAiH,EAInI,IAAMG,EADSH,EAAK,cAAc,EACF,OAAQI,GAAcA,EAAU,YAAcP,CAAa,EAErFQ,EAASC,GAAoBP,CAAC,EAChCA,EAAE,UAAU,IAAI,WACfD,GAAmB,IAAIS,GAAM,EAAG,CAAC,EAEhB,IAAIC,GACxBL,EAAiB,IAAKC,GAAc,GAAGA,EAAU,eAAeK,GAAML,EAAU,WAAW,IAAI,EAC/FC,CACF,EACc,KAAKV,CAAS,CAC9B,CAAC,CACH,CCfO,SAASe,GACdC,EACgE,CAChE,OACEC,GAAoBD,CAAG,GAEpBA,EAAI,qBAAwBE,IAE5BF,EAAI,8BAAiCE,IAErCF,EAAI,uBAA0BG,EAErC,CAEA,SAASC,IAAmBC,EAAM,CAGhC,IAAMC,EAAWC,GAAaA,EAAU,IAAO,KAAK,GAC9CC,EAA6B,CAACC,EAAGC,IAAM,KAAK,MAAMD,EAAE,GAAKC,EAAE,KAAO,GAAKD,EAAE,GAAKC,EAAE,KAAO,CAAC,EAExFC,EAAQ,CACZ,KAA0B,OAC1B,MAA2B,OAC3B,IAAyB,MAC3B,EAEMC,EAAU,CAACC,EAAWC,EAAUC,IAAe,CAEnD,IAAMC,EAAiB,KAAK,MAAMH,EAAU,GAAKC,EAAS,EAAE,EAEtDG,EAAkB,KAAK,MAAMH,EAAS,GAAKC,EAAW,EAAE,EAE9D,OAAOC,EAAiBC,CAC1B,EAEMC,EAAW,CAACC,EAAOC,IAAU,CAIjC,IAAMC,EAAa,KAAK,MAAMD,EAAM,GAAKD,EAAM,GAAIC,EAAM,GAAKD,EAAM,EAAE,EAChEG,EAAWF,EAAM,GAAKD,EAAM,GAC5BI,EAAiB,KAAK,KAAKD,EAAWD,CAAU,EAChDG,EAAiBlB,EAAQiB,CAAc,EACvCE,EAAiB,KAAK,MAAM,GAAKD,CAAc,EAG/CE,EAAgBN,EAAM,GAAKD,EAAM,GAAK,EAAI,GAAK,EAErD,OADeM,EAAiBC,CAElC,EAEMC,EAAY,CAACd,EAAWC,EAAUC,IAAe,CAKrD,IAAMa,EAAOpB,EAA2BK,EAAWE,CAAU,EAEvDc,EAAa,CACjB,IAAKhB,EAAU,GAAKE,EAAW,IAAM,EACrC,IAAKF,EAAU,GAAKE,EAAW,IAAM,CACvC,EACMe,EAAkBtB,EAA2BM,EAAUe,CAAU,EACjEN,EAAiB,KAAK,KAAKO,EAAkBF,CAAI,EACjDJ,EAAiB,KAAK,MAAMlB,EAAQiB,CAAc,CAAC,EAGnDQ,EAAYF,EAAW,GAAKf,EAAS,GAAK,EAAI,GAAK,EAEzD,OADeU,EAAiBO,CAElC,EAEA,GAAI,CAAC1B,GAAQ,CAACA,EAAK,YAAcA,EAAK,WAAW,SAAW,GAAI,OAAOM,EACvE,IAAMqB,EAAK3B,EAAK,WAChB,OAAAM,EAAM,KAAOO,EAASc,EAAG,IAAKA,EAAG,GAAG,EACpCrB,EAAM,MAAQgB,EAAUK,EAAG,IAAKA,EAAG,IAAKA,EAAG,EAAE,EAC7CrB,EAAM,IAAMC,EAAQoB,EAAG,IAAKA,EAAG,IAAKA,EAAG,EAAE,EAClCrB,CACT,CAEO,SAASsB,GACdC,EACAC,EAC4C,CAC5C,GAAM,CAAE,IAAKC,CAAM,EAAIF,EAAU,UAC3BG,EAAYF,EAAmB,QAAwBC,EAAM,EAAGA,EAAM,CAAC,EACvEE,EAAOD,EAAU,MAAM,EACvB,CAAE,UAAAE,CAAU,EAAIL,EAAU,UAC1BM,EAAc,IAAIrC,GACtB+B,EAAU,UAAU,MACpBI,EAAK,QAAQC,EAAU,QAAQ,CAAC,EAChCA,CACF,EACM5B,EAAQP,IAAmB+B,CAAkB,EAEnD,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAG,EAAW,mBAAAF,EAAoB,YAAAK,EAAa,MAAA7B,CAAM,CAClC,CACtC,CCjGO,IAAM8B,GAAN,KAA+B,CAapC,YAAYC,EAAqC,CAAC,EAAG,CACnD,GAAM,CACJ,UAAAC,EAAY,GAAM,WAAAC,EAAa,GAAM,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CACxE,EAAIN,EACJ,KAAK,UAAYC,EACjB,KAAK,WAAaC,EAClB,KAAK,UAAYC,GAAa,EAC9B,KAAK,UAAYE,GAAa,EAC9B,KAAK,UAAYD,GAAa,uBAC9B,KAAK,WAAaE,GAAc,sBAClC,CACF,EAEaC,GAAN,KAAwB,CAK7B,YACEC,EACAR,EAAqC,CAAC,EACtC,CACA,KAAK,cAAgBQ,EACrB,KAAK,QAAU,IAAIT,GAAyBC,CAAO,CACrD,CAEA,KAAKS,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CACJ,UAAAR,EAAW,WAAAC,EAAY,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CAC1D,EAAI,KAAK,QAcT,GAZIL,GAAa,KAAK,yBAAyBW,KAC7CF,EAAI,YAAcN,EAClBM,EAAI,UAAYP,EAChBU,GAAYH,EAAK,KAAK,cAAc,cAAc,CAAC,EACnDG,GAAYH,EAAK,KAAK,cAAc,eAAe,CAAC,EACpDG,GAAYH,EAAK,KAAK,cAAc,gBAAgB,CAAC,EACrDG,GAAYH,EAAK,KAAK,cAAc,QAAQ,CAAC,EAC7CG,GAAYH,EAAK,KAAK,cAAc,WAAW,EAAG,EAAI,EACtDG,GAAYH,EAAK,KAAK,cAAc,YAAY,EAAG,EAAI,EACvDG,GAAYH,EAAK,KAAK,cAAc,SAAS,EAAG,EAAI,GAGlDR,EAAY,CACdQ,EAAI,YAAcJ,EAClBI,EAAI,UAAYJ,EAEhB,IAAMQ,EAAaC,GAAe,CAChCL,EAAI,UAAU,EACdA,EAAI,IAAIK,EAAG,EAAGA,EAAG,EAAGV,EAAW,EAAG,EAAI,KAAK,EAAE,EAC7CK,EAAI,KAAK,CACX,EACA,KAAK,cAAc,UAAU,QAAQI,CAAS,CAChD,CACF,CACF,EAIO,SAASE,IACdP,EACAD,EACA,EAC2B,MAAM,QAAQA,CAAa,EAAIA,EAAgB,CAACA,CAAa,GACrE,QAASS,GAAM,CAEhC,IAAMC,EAAYD,aAAaE,GAC3BF,EACCG,GAAoBH,CAAC,EAAIA,EAAE,UAAY,OAC5C,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,8HAA8H,EAGhJ,IAAIX,GAAkBW,CAAS,EAAE,KAAKT,CAAS,CACjD,CAAC,CACH,gBCvGA,SAASY,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAA4BC,EAAoBC,EAAqBC,EAA4C,CACxH,IAAMC,EAAkBN,EAA2BG,EAAYC,EAAa,GAAGC,mBAA8B,EACvGE,EAAkBP,EAA2BI,EAAaA,EAAa,GAAGC,mBAA8B,EACxGG,EAAiBV,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,kBAA6B,EAErG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBC,EAAkBL,EAAuC,CACvF,IAAMC,EAAkBN,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGE,EAAkBP,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGM,EAAkBX,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAExG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAI,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAb,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,CACF,CAEO,SAASG,GAAcC,EAAuBC,EAAsF,CACzI,IAAMjB,EAAgC,CAAC,EAEjC,CACJ,eAAAD,EACA,oBAAAmB,CACF,EAAIC,GAAsBH,CAAO,EAE3B,CACJ,kBAAAf,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,EAAId,IAAkBC,EAAgBC,CAAa,EAE7CoB,EAAqBnB,EAAkB,EAAG,GAAI,EAAG,oBAAoB,EACrEoB,EAA+BhB,EAA4B,GAAI,GAAI,8BAA8B,EACjGiB,EAA+BjB,EAA4B,GAAI,IAAK,8BAA8B,EAElGkB,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMR,EAAe,EAAG,CAAC,EAAE,QAASS,GAAQ,CAC1CF,EAAY,cAAcE,KAASd,EAAuB,IAAK,0BAA0Bc,GAAK,CAChG,CAAC,EAED,IAAMC,EAA4BtB,EAA4B,IAAK,IAAK,2BAA2B,EAC7FuB,EAA2BzB,EAA2B,IAAK,IAAK,0BAA0B,EAE1F0B,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,GAAIV,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAlB,EACA,OAAQ,CAAE,WAAAuB,EAAY,YAAAC,EAAa,UAAAK,CAAU,CAC/C,CACF,CCxEA,SAASC,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAA4BC,EAA4C,CAC/E,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EG,EAAiBR,EAAkB,GAAGK,kBAA6B,EAEzE,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBJ,EAAuC,CACrE,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EK,EAAkBR,EAA2B,GAAGG,mBAA8B,EAEpF,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAG,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAV,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,CACF,CAEO,SAASE,GACdf,EACAgB,EAC+D,CAC/D,IAAMf,EAAgC,CAAC,EAEjC,CACJ,kBAAAG,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,EAAId,IAAkBC,EAAWC,CAAa,EAExCgB,EAAqBb,EAAkB,oBAAoB,EAC3Dc,EAA+BV,EAA4B,8BAA8B,EACzFW,EAA+BX,EAA4B,8BAA8B,EAEzFY,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMN,EAAe,EAAG,CAAC,EAAE,QAASO,GAAQ,CAC1CF,EAAY,cAAcE,KAASV,EAAuB,0BAA0BU,GAAK,CAC3F,CAAC,EAED,IAAMC,EAA4BhB,EAA4B,2BAA2B,EACnFiB,EAA2BnB,EAA2B,0BAA0B,EAEhFoB,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,OAAAE,GAA2B3B,EAAWC,CAAa,EAE5C,CAAE,OAAQ,CAAE,WAAAmB,EAAY,YAAAC,EAAa,UAAAK,CAAU,EAAG,cAAAzB,CAAc,CACzE,CCjEA,SAAS2B,GAAKC,EAAgBC,EAAoBC,EAAuC,CACvF,OAAUC,EAAOC,GAAOJ,EAAGC,EAAO,QAASC,EAAQ,MAAM,EAAGD,EAAO,IAAI,CACzE,CAEA,SAASI,GAAeL,EAAgBC,EAA8BK,EAAkB,GAAmB,CACzG,IAAIC,EAAMD,EAAqBE,GAAKR,CAAC,EAAIA,EACzC,OAAAO,EAAME,GAAuBF,EAAKN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAChEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASG,GAAQH,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAASJ,EAAII,EAAKR,GAAKC,EAAGC,EAAO,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EACjDM,CACT,CAEA,SAASI,IAAUX,EAAgBC,EAAsC,CACvE,IAAIM,EAAME,GAA0BD,GAAKR,CAAC,EAAGC,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAC3E,OAAAM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASJ,EAAII,EAAKP,CAAC,EACZO,CACT,CAEO,IAAMK,GAAN,cAA2BC,EAAkC,CAGlE,YAAYC,EAAuB,CACjC,MAAM,cAAc,EACpB,KAAK,eAAiBA,CACxB,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAd,CAAO,EAAI,KACnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,4CAA4C,EAE9D,OAAUe,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKH,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DI,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EACtDV,EAASC,GAAKT,GAAKoB,EAAYlB,EAAO,WAAW,QAAS,CAAC,EAAG,CAAC,CAAC,CAAC,EACrE,OAAAM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,kBAAmB,EAAK,EACpEM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,iBAAiB,EAC7DoB,GAAM,KAAK,eAAgB,EAAG,CAAC,EAAE,QAASC,GAAQ,CAChDf,EAAMI,IAAUJ,EAAKN,EAAO,YAAY,cAAcqB,IAAM,CAC9D,CAAC,EACDf,EAAMF,GAAeE,EAAKN,EAAO,UAAU,eAAe,EAC1DM,EAASC,GAAKC,GAAuBF,EAAKN,EAAO,UAAU,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EAC3EM,CACT,CAAC,CACH,CAEA,MAAa,QAAQQ,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMQ,GAAWR,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,qBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,cAAc,CAClE,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,EAAS,KAAK,cAAc,CACnD,CACF,ECzEO,SAASE,GAAcC,EAA6E,CACzG,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3BK,EAAkBC,GAAuBJ,EAAgBD,CAAa,EAEtEM,EAAMF,EAAgB,IAAK,EAAG,QAAQ,EACtCG,EAASH,EAAgB,IAAK,EAAG,WAAW,EAElD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAI,CAAE,IAAAM,EAAK,OAAAC,CAAO,CAAE,CAChC,CACF,CCnBO,SAASC,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAI,CACF,IAAKJ,EAAgB,QAAQ,EAC7B,OAAQA,EAAgB,WAAW,CACrC,CACF,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,IAAKS,QAEVA,EAAA,OAAS,SAETA,EAAA,KAAO,OAJGA,QAAA,ICKL,IAAMC,GAAN,cAA2BC,EAAyB,CAGzD,YAAYC,EAAqC,IAAIC,GAAa,CAAC,EAAG,CACpE,MAAM,cAAc,EACpB,KAAK,sBAAwBD,CAC/B,CAEA,IAAW,sBAAqC,CAC9C,OAAO,KAAK,qBACd,CAEO,OAAOE,EAA0C,CACtD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EAEEK,EAAYC,GAAQH,EAAoB,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAAE,KAAKA,EAAmB,MAAM,GAAI,EAAE,EACrGI,EAAMC,GAAoBH,EAAQJ,EAAO,GAAG,GAAG,EAAE,KAAK,EACtDQ,EAASD,GAAoBH,EAAQJ,EAAO,GAAG,MAAM,EAC3D,MAAO,CAAE,IAAAM,EAAK,OAAAE,CAAO,CACvB,CAAC,CACH,CAEO,aAAaT,EAA0C,CAC5D,OAAUE,EAAK,IAAM,CACnB,GAAM,CAAE,IAAAK,EAAK,OAAAE,CAAO,EAAI,KAAK,OAAOT,CAAK,EACzC,MAAO,CAAE,IAAAO,EAAK,OAAWG,GAAQD,CAAM,CAAE,CAC3C,CAAC,CACH,CAEA,MAAa,QAAQT,EAAsC,CACzD,OAAO,KAAK,aAAa,MAAMW,GAAWX,CAAK,CAAC,CAClD,CAEA,MAAa,oBAAoBA,EAA8E,CAC7G,IAAMY,EAAW,MAAMD,GAAWX,CAAK,EACjCa,EAAM,MAAM,KAAK,aAAaD,CAAQ,EAEtCE,EAAUC,GAAQF,EAAI,GAAG,EACzBG,EAAaD,GAAQF,EAAI,MAAM,EAC/BI,EAAsBH,EAAK,IAAI,CAACI,EAAWC,KAAO,CACtD,UAAAD,EACA,aAAcF,EAAQG,EACxB,EAAE,EAEIC,EAAqB,MAAM,QAAQ,IACvCH,EAAoB,IAAI,MAAO,CAAE,UAAAC,EAAW,aAAAG,CAAa,IAAM,CAC7D,IAAMd,EAAOW,EAAU,SAAS,EAAG,GAC7BI,EAAYD,EAAa,SAAS,EAAG,GACrCE,EAASD,EAAW,GACpBb,EAASc,kBACTC,EAAoBD,EAASD,EAAY,EAAIA,EAEnD,OAAAJ,EAAU,QAAQ,EAClBG,EAAa,QAAQ,EACd,CAAE,IAAAd,EAAK,OAAAE,EAAQ,kBAAAe,CAAkB,CAC1C,CAAC,CACH,EACA,OAAAX,EAAI,IAAI,QAAQ,EAChBA,EAAI,OAAO,QAAQ,EAEZD,EAAS,aAAeQ,EAAiDA,EAAmB,EACrG,CAEU,qBAA8B,CACtC,MAAO,kBACT,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAzB,EAAQ,cAAA0B,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUzB,EACf,KAAK,eAAiB0B,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,CAAO,CAC9B,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAG7C,IAAMQ,EAA0BR,EAAQ,MAAM,EAAGA,EAAQ,OAAS,IAAoB,EAChFS,EAAoBT,EAAQ,MAAMA,EAAQ,OAAS,IAAoB,EAE7E,YAAK,qBAAqB,eAAeQ,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,EC7GO,IAAeC,GAAf,cAGGC,EAAgC,CACjC,YAAYC,EAAqBC,EAAmBC,EAAgD,CACzG,IAAMC,EAAkBD,EAAmB,IAAI,CAAC,CAAE,MAAAE,EAAO,OAAAC,CAAO,IAAM,CACpE,IAAMC,EAAQL,EAAY,KAAK,IAAII,EAAQD,CAAK,EAChD,MAAO,CACL,MAAOA,EAAQE,EACf,OAAQD,EAASC,CACnB,CACF,CAAC,EAEKC,EAAYJ,EAAgB,OAElC,OAAUK,EAAK,IAAM,CACnB,IAAMC,EAA0B,CAACC,EAAeC,IAAqBC,GAAM,CAAIC,GAAK,CAAC,EAAE,EAAGH,EAAO,SAAS,EAAMG,GAAK,CAAC,EAAE,EAAGF,EAAO,SAAS,CAAC,EAAG,CAAC,EAAE,KAAK,EAAG,GAAG,EAAE,KAAK,EAG9JG,EAAa,CAACC,EAAkBC,IAAoD,CACxF,GAAM,CAAE,MAAAZ,EAAO,OAAAC,CAAO,EAAIF,EAAgBY,GAC1C,OAAOC,EAAKZ,EAAOC,CAAM,EAAI,KAAK,IAAID,EAAQC,CAAM,EAAI,EAAI,CAC9D,EAEMY,EAAeF,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAMA,EAAI,CAAC,EACxEC,EAAeJ,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAM,EAAIA,CAAC,EAa9E,OAXwBlB,EACrB,IAAOa,GAAK,CAACN,EAAW,GAAG,EAAGN,EAAW,SAAS,CAAC,EACnD,IAAOW,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DQ,EAAYF,CAAQ,EACpBI,EAAYJ,CAAQ,CACtB,CAAC,CAAC,CAAC,EACF,IAAOH,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DN,EAAgBY,GAAU,MAC1BZ,EAAgBY,GAAU,MAC5B,CAAC,CAAC,CAAC,CAGP,CAAC,CACH,CAEO,aAAaM,EAA8B,CAChD,OAAUb,EAAK,IAAM,CACnB,IAAMc,EAAM,KAAK,OAAOD,CAAK,EAC7B,OAAO,KAAK,YACVC,EACAD,EAAM,UACNA,EAAM,gBAAgB,IAAI,CAAC,CAAChB,EAAQD,CAAK,KAAO,CAAE,OAAAC,EAAQ,MAAAD,CAAM,EAAE,CACpE,CACF,CAAC,CACH,CAEA,MAAa,QAAQiB,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAME,GAAWF,CAAK,CAAC,CAClD,CAEA,MAAa,gBAAgBA,EAAgE,CAC3F,IAAMG,EAAW,MAAMD,GAAWF,CAAK,EACjCI,EAAqBjB,EACzB,IAASkB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAC9C,EAEMG,EAAoB,MAAM,QAAQ,IAAIF,EAAgB,IAC1D,MAAOG,EAAgBb,IAAa,CAClC,IAAMc,EAAiB,MAAM,KAAKD,EAAe,SAAS,CAAC,EACrDE,EAAUD,EAAe,OAAO,CAACT,EAAGW,IAAMC,GAAOD,CAAC,CAAC,EACnDE,EAAUJ,EAAe,OAAO,CAACT,EAAGW,IAAM,CAACC,GAAOD,CAAC,CAAC,EAE1D,OAAO,IAAIG,GACT,MAAM,EAAE,EAAE,KAAK,CAAC,EAAE,IAAI,CAACd,EAAGW,IAAM,IAAII,GAAML,EAAQC,GAAcE,EAAQF,EAAY,CAAC,EACrF,CACE,OAAQP,EAAS,eAAeT,CAAQ,EACxC,MAAOS,EAAS,cAAcT,CAAQ,CACxC,CACF,CACF,CACF,CAAC,EAED,OAAAU,EAAgB,QAASW,GAAMA,EAAE,QAAQ,CAAC,EAEnCZ,EAAS,aAAeG,EAAyCA,EAAkB,EAC5F,CAEU,0BAAmC,CAC3C,MAAO,IACT,CACF,EC5FO,IAAMU,GAAN,cAAgCC,EAAkD,CACvF,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECVO,SAASE,GACdC,EAC2E,CAC3E,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCpBO,SAASK,GAAkBC,EAAkG,CAClI,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EAEzD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,CAAO,CACnC,CACF,CClBO,IAAMC,GAAN,cAAuCC,EAA+G,CAC3J,aAAc,CACZ,MAAM,0BAA0B,CAClC,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,wDAAwD,EAG1E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,GAAI,EAAE,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAExCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,mCACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA+BD,CAAS,CACjD,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAkBD,CAAO,CAClC,CACF,EC/CO,IAAME,GAAN,cAAoCC,EAAsD,CAC/F,YAAYC,EAAiD,IAAIC,GAA4B,CAC3F,MAAM,wBAAyBD,CAAoB,CACrD,CAEU,qBAA8B,CACtC,MAAO,6BACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECZO,IAAME,GAAN,cAA8BC,EAAkB,CAAC,ECAjD,SAASC,GAAMC,EAAgBC,EAAuC,CAC3E,OAAUC,EAAOC,EAAIH,EAAGC,EAAO,OAAO,EAAGA,EAAO,MAAM,CACxD,CCDA,SAASG,GACPC,EACAC,EACAC,EACAC,EACAC,EAA4B,OACf,CACb,GAAM,CAAE,QAAAC,EAAS,KAAAC,CAAK,EAAIL,EAAO,KAE7BM,EAASC,GAAOR,EAAGK,EAASH,EAASE,CAAO,EAChD,OAAAG,EAASE,EAAIF,EAAKD,CAAI,EACtBC,EAAMG,GAAMH,EAAKN,EAAO,KAAK,EACtBE,EAAcQ,GAAKJ,CAAG,EAAIA,CACnC,CAEO,SAASK,GAAKZ,EAAgBC,EAAyB,CAC5D,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAI,CAC1C,CAEO,SAASY,GAAWb,EAAgBC,EAAyB,CAClE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAK,CAC3C,CAEO,SAASa,GAASd,EAAgBC,EAAyB,CAChE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,GAAM,OAAO,CACnD,CCxBA,SAASc,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAAoBC,EAAyBC,EAAoBC,EAAiC,CACzG,IAAMC,EAAUN,EAAeG,CAAe,EACxCI,EAAQD,EAAQ,QAAUF,EAAaC,EAAaA,GAE1D,GAAIG,GAAQD,CAAK,EACf,MAAM,IAAI,MAAM,+BAA+BA,sBAA0BD,EAAQ,uBAAuBF,kBAA2BC,GAAY,EAGjJ,OAAUI,EACR,IAASC,GACJC,GAASL,EAAS,CAACF,EAAYG,EAAOF,EAAYA,CAAU,CAAC,EAChE,CAAC,EAAG,EAAG,EAAG,CAAC,CACb,CACF,CACF,CAEA,SAASO,EACPT,EACAC,EACAC,EACAQ,EACY,CACZ,IAAMC,EAAUZ,EAAoBC,EAAiBC,EAAYC,CAAU,EACrEU,EAAUC,GAAShB,EAAeI,CAAU,CAAC,EAEnD,OAAAH,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASE,EAAwBC,EAAoBL,EAAwC,CAC3F,IAAMP,EAAaU,GAAShB,EAAekB,CAAU,CAAC,EAChDC,EAAYH,GAAShB,EAAekB,CAAU,CAAC,EAErD,OAAAjB,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,UAAsB,CACxC,EAEO,CACL,QAAAP,EACA,OAAAa,CACF,CACF,CAEA,SAASC,EACPjB,EACAC,EACAC,EACAQ,EACiB,CACjB,IAAMQ,EAAOT,EAAkBT,EAAiBC,EAAYC,EAAY,GAAGQ,QAAmB,EACxFS,EAAQL,EAAwBb,EAAY,GAAGS,SAAoB,EAEzE,MAAO,CAAE,KAAAQ,EAAM,MAAAC,CAAM,CACvB,CAEA,SAASC,EACPpB,EACAC,EACAC,EACAQ,EACAW,EAAS,GACY,CACrB,IAAMC,EAAQL,GAAwBI,EAAS,GAAM,GAAKrB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EACpHa,EAAQN,EAAuBjB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EAErG,MAAO,CAAE,MAAAY,EAAO,MAAAC,CAAM,CACxB,CAEA,MAAO,CACL,uBAAAN,EACA,2BAAAG,CACF,CACF,CAEO,SAASI,GAAcrB,EAA6E,CACzG,GAAM,CACJ,eAAAN,EACA,oBAAA4B,CACF,EAAIC,GAAsBvB,CAAO,EAE3BL,EAAgC,CAAC,EAEjC,CACJ,uBAAAmB,EACA,2BAAAG,CACF,EAAIxB,IAAkBC,EAAgBC,CAAa,EAE7C6B,EAAcV,EAAuB,KAAM,GAAI,EAAG,aAAa,EAC/DW,EAAWR,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DS,EAAWT,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DU,EAAWV,EAA2B,KAAM,GAAI,EAAG,UAAU,EAE7DW,EAAcX,EAA2B,MAAO,GAAI,EAAG,cAAe,EAAI,EAC1EY,EAAWZ,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Da,EAAWb,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Dc,EAAWd,EAA2B,MAAO,GAAI,EAAG,UAAU,EAE9De,EAAef,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EgB,EAAYhB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEiB,EAAYjB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAElEkB,EAAelB,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EmB,EAAYnB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEoB,EAAYpB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEqB,EAAmBrB,EAA2B,OAAQ,IAAK,EAAG,kBAAkB,EAEhFsB,EAAQpC,EACZ,IAASC,GAAaoC,GAAS9C,EAAe,IAAM,GAAG,EAAG,CAAC,IAAK,GAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAC/E,EAGA,GAFAC,EAAc,KAAK,CAAE,UAAW,IAAK,CAAC,EAElC2B,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAsBlF,MAAO,CAAE,OAnBM,CACb,YAAAE,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEiB,cAAA5C,CAAc,CACjC,CC7IA,SAAS8C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAwBC,EAAkC,CACjE,IAAMC,EAAUJ,EAAmB,GAAGG,kBAAwB,CAAC,EACzDE,EAASL,EAAmB,GAAGG,iBAAuB,CAAC,EAE7D,MAAO,CAAE,QAAAC,EAAS,OAAAC,CAAO,CAC3B,CAEA,SAASC,EAAuBH,EAAiC,CAC/D,IAAMI,EAAUP,EAAmB,GAAGG,iBAAuB,CAAC,EACxDK,EAAOR,EAAmB,GAAGG,cAAoB,CAAC,EAClDM,EAAQP,EAAwBC,CAAM,EAE5C,MAAO,CAAE,KAAM,CAAE,QAAAI,EAAS,KAAAC,CAAK,EAAG,MAAAC,CAAM,CAC1C,CAEA,SAASC,EAA2BP,EAAqC,CACvE,MAAO,CACL,MAAOG,EAAuB,GAAGH,SAAc,EAC/C,MAAOG,EAAuB,GAAGH,SAAc,CACjD,CACF,CAEA,MAAO,CACL,uBAAAG,EACA,2BAAAI,CACF,CACF,CAEO,SAASC,GACdb,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjC,CACJ,uBAAAO,EACA,2BAAAI,CACF,EAAIb,IAAkBC,EAAWC,CAAa,EAExCa,EAAcN,EAAuB,aAAa,EAClDO,EAAWH,EAA2B,UAAU,EAChDI,EAAWJ,EAA2B,UAAU,EAChDK,EAAWL,EAA2B,UAAU,EAEhDM,EAAcN,EAA2B,aAAa,EACtDO,EAAWP,EAA2B,UAAU,EAChDQ,EAAWR,EAA2B,UAAU,EAChDS,EAAWT,EAA2B,UAAU,EAEhDU,EAAeV,EAA2B,cAAc,EACxDW,EAAYX,EAA2B,WAAW,EAClDY,EAAYZ,EAA2B,WAAW,EAElDa,EAAeb,EAA2B,cAAc,EACxDc,EAAYd,EAA2B,WAAW,EAClDe,EAAYf,EAA2B,WAAW,EAClDgB,EAAmBhB,EAA2B,kBAAkB,EAEhE,CAAE,GAAAiB,CAAG,EAAI7B,EAGf,GAFAC,EAAc,KAAK,CAAE,aAAc,KAAM,UAAW,IAAK,CAAC,EAEtD,CAAC6B,GAAWD,CAAE,EAChB,MAAM,IAAI,MAAM,yDAAyDA,GAAI,EAG/E,IAAME,EAAS,CACb,YAAAjB,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEA,OAAAG,GAA2BhC,EAAWC,CAAa,EAE5C,CAAE,OAAA8B,EAAQ,cAAA9B,CAAc,CACjC,CC1FO,SAASgC,GAASC,EAAgBC,EAA0C,CACjF,IAAIC,EAAMC,GAAKH,EAAGC,EAAO,KAAK,EAC9B,OAAAC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAClCC,EAASG,EAAIH,EAAKF,CAAC,EACnBE,EAASI,GAAKJ,CAAG,EACVA,CACT,CAEO,SAASK,GAAaP,EAAgBC,EAA0C,CACrF,IAAIC,EAAMM,GAASR,EAAGC,EAAO,KAAK,EAClCC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAElC,IAAIQ,EAAYC,GAAQV,EAAG,EAAG,EAAG,OAAO,EAClCW,EAAWC,GAAkBH,EAAO,KAAK,EACzCI,EAAQJ,EAAO,MAAM,KAAOP,EAAI,MAAM,GAG5C,GAFsBO,EAAO,MAAM,KAAOP,EAAI,MAAM,IAAMO,EAAO,MAAM,KAAOP,EAAI,MAAM,GAErE,CACjB,IAAMY,EAAY,CAAC,GAAGZ,EAAI,KAAK,EAC/BY,EAAU,GAAK,EACf,IAAMC,EAAYH,GAAkBE,CAAS,EAC7CZ,EAASc,GAAO,CAACd,EAAKa,CAAM,EAAG,CAAC,EAEhC,IAAME,EAAY,CAAC,GAAGf,EAAI,KAAK,EAC/Be,EAAU,GAAK,EACf,IAAMC,EAAYN,GAAkBK,CAAS,EAC7Cf,EAASc,GAAO,CAACd,EAAKgB,CAAM,EAAG,CAAC,CAClC,CAEA,OAAAT,EAASI,EAAWG,GAAO,CAACP,EAAQE,CAAK,EAAG,CAAC,EAAIF,EACjDP,EAASG,EAAII,EAAQP,CAAG,EAExBA,EAASI,GAAKJ,CAAG,EACVA,CACT,CC5BO,IAAMiB,GAAN,cAAiCC,EAAyB,CAC/D,aAAc,CACZ,MAAM,oBAAoB,CAC5B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAG/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAASH,EAAYJ,EAAO,WAAW,EACjDM,EAASE,GAAQF,EAAK,EAAG,EAAG,OAAO,EAEnCA,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,WAAW,EAC1CM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EAEpCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMI,GAAaJ,EAAKN,EAAO,gBAAgB,EAE/C,IAAMW,EAAYL,EAAI,KAAK,CAAC,EAAG,CAAC,CAAC,EAGjC,OAF0BM,GAAOD,EAAWX,EAAO,EAAE,CAGvD,CAAC,CACH,CAEA,MAAa,QAAQD,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,sBAAsBA,EAAwD,CA7D7F,IAAAe,EA+DI,IAAIA,EAAAf,GAAA,YAAAA,EAAO,QAAP,MAAAe,EAAc,KAAMC,GAAQA,GAAO,GAAI,OAAO,IAAI,aAAa,GAAG,EACtE,IAAMC,EAAW,MAAMH,GAAWd,CAAK,EACjCkB,EAA2BhB,EAAK,IAASiB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAAC,EAC7EG,EAA0B,MAAM,QAAQ,IAAIF,EAAsB,IAAKG,GAAMA,EAAE,KAAK,CAAC,CAAC,EAC5F,OAAAH,EAAsB,QAASG,GAAMA,EAAE,QAAQ,CAAC,EACzCJ,EAAS,aAAeG,EAA0BA,EAAwB,EACnF,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,2BAA2BE,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EC9EO,SAASE,IAAyBC,EAAuB,CAC9D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCJO,SAASE,GAGdC,EACAC,EAC6B,CAE7B,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,WAAAC,CAAW,CACK,CACtC,CCRO,SAASC,IAAUC,EAA8B,CACtD,OAAO,OAAOA,EAAI,KAAQ,QAC5B,CAEO,SAASC,GAGdC,EACAC,EACkB,CAElB,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,IAAAC,CAAI,CACY,CACtC,CCRO,SAASC,IAAaC,EAAiC,CAC5D,OAAQA,EAAI,iBAA0BA,EAAI,oBACrCC,GAAmBD,EAAI,iBAAiB,CAC/C,CAEO,SAASE,GAGdC,EACAC,EACAC,EACqB,CAErB,MAAO,CAAE,GAAGF,EAAW,GADL,CAAE,OAAAC,EAAQ,kBAAAC,CAAkB,CACV,CACtC,CCjBA,SAASC,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAA2BC,EAAqBC,EAAuD,CAC9G,IAAMC,EAAaC,GAASN,EAAe,EAAQG,CAAW,EAAG,CAAC,EAAG,EAAGA,EAAa,CAAC,CAAC,EACjFI,EAAsBC,GAASR,EAAeG,CAAW,CAAC,EAC1DM,EAAuBD,GAASR,EAAeG,CAAW,CAAC,EAC3DO,EAAqBF,GAASR,EAAeG,CAAW,CAAC,EACzDQ,EAAyBH,GAASR,EAAeG,CAAW,CAAC,EAEnE,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,qBAAiC,EACjD,CAAE,UAAW,GAAGA,mBAA+B,EAC/C,CAAE,UAAW,GAAGA,uBAAmC,CACrD,EAEO,CACL,QAAAC,EACA,iBAAAE,EACA,kBAAAE,EACA,gBAAAC,EACA,oBAAAC,CACF,CACF,CAEA,SAASC,EACPC,EACAC,EACAC,EACAX,EACAY,EACY,CACZ,IAAMX,EAAaC,GACjBN,EAAea,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMG,EAAUT,GAASR,EAAec,CAAW,CAAC,EAEpD,OAAAb,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,KAAgBY,EAAkB,oBAAsB,QAAS,CACnF,EAEO,CAAE,QAAAX,EAAS,KAAAY,CAAK,CACzB,CAEA,SAASC,EACPL,EACAC,EACAC,EACAX,EACqB,CACrB,GAAM,CACJ,QAAAC,EACA,KAAAY,CACF,EAAIL,EAAkBC,EAAYC,EAAaC,EAAYX,EAAc,EAAI,EAE7E,MAAO,CACL,QAAAC,EACA,kBAAmBY,CACrB,CACF,CAEA,SAASE,EACPN,EACAC,EACAV,EAC4B,CAC5B,IAAMgB,EAAiBlB,EAA2BW,EAAY,GAAGT,kBAA6B,EACxFiB,EAAiBH,EAA2BL,EAAYC,EAAa,EAAG,GAAGV,kBAA6B,EAE9G,MAAO,CAAE,eAAAgB,EAAgB,eAAAC,CAAe,CAC1C,CAEA,SAASC,GAA+C,CACtD,IAAMC,EAASL,EAA2B,EAAG,GAAI,EAAG,oBAAoB,EAClEM,EAASL,EAAsB,GAAI,GAAI,oBAAoB,EAC3DM,EAASN,EAAsB,GAAI,IAAK,oBAAoB,EAC5DO,EAASP,EAAsB,IAAK,IAAK,oBAAoB,EAC7DQ,EAASR,EAAsB,IAAK,IAAK,oBAAoB,EAC7DS,EAAST,EAAsB,IAAK,IAAK,oBAAoB,EAC7DU,EAASV,EAAsB,IAAK,IAAK,oBAAoB,EAC7DW,EAASX,EAAsB,IAAK,IAAK,oBAAoB,EAC7DY,EAASZ,EAAsB,IAAK,IAAK,oBAAoB,EAC7Da,EAASb,EAAsB,IAAK,IAAK,oBAAoB,EAC7Dc,EAAUd,EAAsB,IAAK,IAAK,qBAAqB,EAC/De,EAAUf,EAAsB,IAAK,IAAK,qBAAqB,EAC/DgB,EAAUhB,EAAsB,IAAK,KAAM,qBAAqB,EAChEiB,EAAUjB,EAAsB,KAAM,KAAM,qBAAqB,EACvE,MAAO,CACL,OAAAI,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,CACF,CACF,CAEA,SAASC,GAAsD,CAC7D,IAAMd,EAASL,EAA2B,KAAM,IAAK,EAAG,yBAAyB,EAC3EM,EAASN,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EO,EAASP,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EQ,EAASR,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1ES,EAAST,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EU,EAASV,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EW,EAASX,EAA2B,IAAK,GAAI,EAAG,yBAAyB,EACzEY,EAASZ,EAA2B,GAAI,IAAK,EAAG,yBAAyB,EACzEoB,EAA2B1B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH2B,EAAoB3B,EAAkB,IAAK,EAAG,EAAG,kDAAkD,EACnG4B,EAA2B5B,EAAkB,KAAM,GAAI,EAAG,yDAAyD,EACnH6B,EAAoB7B,EAAkB,KAAM,GAAI,EAAG,kDAAkD,EACrG8B,EAA2B9B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH+B,EAAoB/B,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGgC,EAA2BhC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHiC,EAAoBjC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGkC,EAA2BlC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHmC,EAAoBnC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGoC,EAA2BpC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHqC,EAAoBrC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EA0B1G,MAAO,CACL,OAAAW,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,gBAjCsB,CACtB,uBAAwBQ,EACxB,gBAAiBC,CACnB,EA+BE,gBA9BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EA4BE,gBA3BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAyBE,gBAxBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAsBE,gBArBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAmBE,gBAlBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,CAgBA,CACF,CAEA,MAAO,CACL,yBAAA3B,EACA,6BAAAe,CACF,CACF,CAEO,SAASa,GAAcC,EAA6E,CACzG,IAAMlD,EAAgC,CAAC,EACjC,CACJ,eAAAD,EACA,oBAAAoD,CACF,EAAIC,GAAsBF,CAAO,EAC3B,CACJ,yBAAA7B,EACA,6BAAAe,CACF,EAAItC,IAAkBC,EAAgBC,CAAa,EAC7CqD,EAAchC,EAAyB,EACvCiC,EAAmBlB,EAA6B,EAKhDmB,EAAe,CACnB,UALmBC,GACnBzD,EAAe,KAAO,CAAC,EACvB,CAAC,EAAG,KAAM,CAAC,CACb,CAGA,EAEA,GADAC,EAAc,KAAK,CAAE,UAAW,wBAAyB,CAAC,EACtDmD,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,OAAQ,CACN,YAAAE,EACA,iBAAAC,EACA,aAAAC,CACF,EACA,cAAAvD,CACF,CACF,CChNA,SAASyD,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAA2BC,EAAgBC,EAAaC,EAA2C,CAC1G,IAAMC,EAAUN,EAAmB,GAAGG,YAAiBC,sBAAyB,EAAG,GAAGC,WAAsB,EACtGE,EAAoBP,EAAmB,GAAGG,YAAiBC,oCAAuC,EAAG,GAAGC,qBAAgC,EAC9I,MAAO,CAAE,QAAAC,EAAS,kBAAAC,CAAkB,CACtC,CAEA,SAASC,EAAsBJ,EAAyC,CACtE,IAAMC,EAAe,oBAAoBD,IACnCK,EAAsB,sBAAsBL,cAC5CM,EAA4B,GAAGL,mBAC/BM,EAA4B,GAAGN,mBAE/BC,EAAUN,EAAmB,GAAGS,sBAAyC,EAAG,GAAGC,WAAmC,EAClHE,EAAmBZ,EAAmB,GAAGS,oBAAuC,EAAG,GAAGC,oBAA4C,EAClIH,EAAoBP,EAAmB,GAAGS,mBAAsC,EAAG,GAAGC,qBAA6C,EACnIG,EAAkBb,EAAmB,GAAGS,0BAA6C,EAAG,GAAGC,mBAA2C,EACtII,EAAsBd,EAAmB,GAAGS,8BAAiD,EAAG,GAAGC,uBAA+C,EAExJ,MAAO,CACL,eAAgB,CACd,QAAAJ,EACA,iBAAAM,EACA,kBAAAL,EACA,gBAAAM,EACA,oBAAAC,CACF,EACA,eAAgBZ,EAA2B,cAAeE,EAAKO,CAAyB,CAC1F,CACF,CAEA,SAASI,GAA+C,CACtD,MAAO,CACL,OAAQb,EAA2B,cAAe,EAAG,oBAAoB,EACzE,OAAQM,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,CACnC,CACF,CAEA,SAASQ,EAAkBb,EAAgBE,EAAkC,CAC3E,IAAMC,EAAUN,EAAmB,GAAGG,YAAkB,EAAG,GAAGE,WAAsB,EAC9EY,EAAOjB,EAAmB,GAAGG,WAAiB,EAAG,GAAGE,QAAmB,EAC7E,MAAO,CAAE,QAAAC,EAAS,KAAAW,CAAK,CACzB,CAEA,SAASC,EAA0Bd,EAAkC,CACnE,IAAMe,EAAyBH,EAC7B,2BAA2BZ,yBAC3B,kCAAkCA,0BACpC,EACMgB,EAAkBJ,EACtB,2BAA2BZ,mBAC3B,kCAAkCA,mBACpC,EACA,MAAO,CAAE,uBAAAe,EAAwB,gBAAAC,CAAgB,CACnD,CAEA,SAASC,GAAsD,CAC7D,MAAO,CACL,OAAQnB,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,gBAAiBgB,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,CAC9C,CACF,CAEA,MAAO,CACL,yBAAAH,EACA,6BAAAM,CACF,CACF,CAEO,SAASC,GACdxB,EACsD,CACtD,IAAMC,EAAgC,CAAC,EACjC,CACJ,yBAAAgB,EACA,6BAAAM,CACF,EAAIxB,IAAkBC,EAAWC,CAAa,EACxCwB,EAAYzB,EAAU,oBAE5B,GADAC,EAAc,KAAK,CAAE,aAAc,mBAAoB,UAAW,wBAAyB,CAAC,EACxF,CAACyB,GAAWD,CAAS,EACvB,MAAM,IAAI,MAAM,yEAAyEA,GAAW,EAGtG,IAAME,EAAS,CACb,YAAaV,EAAyB,EACtC,iBAAkBM,EAA6B,EAC/C,aAAc,CACZ,UAAAE,CACF,CACF,EAEA,OAAAG,GAA2B5B,EAAWC,CAAa,EAC5C,CAAE,OAAA0B,EAAQ,cAAA1B,CAAc,CACjC,CCzHO,SAAS4B,GAAmBC,EAAgBC,EAA6BC,EAA2B,CACzG,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAOL,EAAGC,EAAO,QAASC,EAAS,MAAM,EACtD,OAAAE,EAASE,EAAIF,EAAKH,EAAO,iBAAiB,EAChCM,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CCLA,IAAMI,IAAU,qBAEhB,SAASC,IAAmBC,EAAgBC,EAAyCC,EAA2B,CAC9G,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,QAASC,EAAS,MAAM,EAC/D,OAAAE,EAASE,GACPF,EACAH,EAAO,gBACPA,EAAO,oBACPA,EAAO,kBACPA,EAAO,iBACPH,GACF,EACUS,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CAEA,SAASI,IAAsBC,EAAoC,CACjE,MAAO,CAAC,EAAG,EAAG,EAAG,EAAE,EAAE,KAAMC,GAAQA,IAAQD,CAAQ,EAAI,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CACvE,CAEO,SAASE,GAAYX,EAAgBC,EAA4B,CACtE,OAAUE,EAAK,IAAM,CACnB,IAAIS,EACAR,EAAMS,GAAmBb,EAAGC,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EA0BrD,GAxBuB,CACrBA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,QACPA,EAAO,QACPA,EAAO,QACPA,EAAO,OACT,EAEe,QAAQ,CAACa,EAAO,IAAM,CACnC,IAAML,EAAW,EAAI,EACfM,EAAuBP,IAAsBC,CAAQ,EAC3DL,EAAML,IAAmBK,EAAKU,EAAM,eAAgBC,CAAoB,EACxEX,EAAMS,GAAmBT,EAAKU,EAAM,eAAgB,CAAC,EAAG,CAAC,CAAC,EACtDL,IAAa,KAAIG,EAASR,EAChC,CAAC,EAEGQ,IAAW,KACb,MAAM,IAAI,MAAM,+CAA+C,EAGjE,MAAO,CACL,IAAAR,EACA,OAAQQ,CACV,CACF,CAAC,CACH,CC9DA,SAASI,IAAIC,EAAoBC,EAAWC,EAAW,CACrD,IAAMC,EAAYH,EAAM,UAAU,EAC5BI,EAAQ,KAAK,IAAID,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDI,EAAQ,KAAK,IAAIF,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDK,EAAQ,KAAK,IAAIH,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDM,EAAQ,KAAK,IAAIJ,EAAUF,GAAG,GAAIE,EAAUF,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIL,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDO,EAAQ,KAAK,IAAIN,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDQ,EAAQ,KAAK,IAAIP,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDS,EAAQ,KAAK,IAAIR,EAAUD,GAAG,GAAIC,EAAUD,GAAG,EAAE,EACjDU,GAASN,EAAQF,IAAUG,EAAQF,GACnCQ,GAASH,EAAQF,IAAUG,EAAQF,GACzC,GAAIG,GAAS,GAAKC,GAAS,EAAG,MAAO,GACrC,IAAMC,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIF,EAAmBF,EAAkB,CAAG,EAAI,KAAK,IAAIG,EAAmBF,EAAkB,CAAG,EAC/H,OAAOG,GAAoBN,EAAQC,EAAQK,EAC7C,CAEO,SAASC,GACdnB,EACAoB,EACAC,EACAC,EACAC,EACU,CACV,IAAMC,EAAWxB,EAAM,MAAM,GACvByB,EAAa,KAAK,IAAIJ,EAAeG,CAAQ,EAE7CE,EAAaN,EAChB,IAAI,CAACO,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,OAAQC,GAAMA,EAAE,MAAQN,CAAc,EACtC,KAAK,CAACO,EAAIC,IAAOA,EAAG,MAAQD,EAAG,KAAK,EAEjCE,EAAgBC,GAAeA,GAAKX,EAAe,EAAI,EACvDY,EAAqB,CAAC,EAE5B,OAAAR,EAAW,QAASG,GAAM,CACxB,GAAIK,EAAS,QAAUT,EAAY,OACnC,IAAMU,EAAgBN,EAAE,MACxB,QAAS3B,EAAIgC,EAAS,OAAS,EAAGhC,GAAK,EAAG,EAAEA,EAAG,CAC7C,IAAMkC,EAAMrC,IAAIC,EAAO6B,EAAE,SAAUK,EAAShC,EAAE,EAC9C,GAAIkC,IAAQ,IACZP,EAAE,OAASG,EAAaI,CAAG,EACvBP,EAAE,OAASN,GAAgB,KACjC,CACIY,IAAkBN,EAAE,OACtBK,EAAS,KAAKL,EAAE,QAAQ,CAE5B,CAAC,EACMK,CACT,CCnDA,SAASG,IAAkCC,EAAgB,CACzD,IAAMC,EAASC,GAAWC,GAAUH,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EAExCI,EAAQ,CACTC,GAAIJ,EAAI,GAAIA,EAAI,EAAE,EAClBI,GAAIJ,EAAI,GAAIA,EAAI,EAAE,CACvB,EACMK,EAAU,CACXC,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,EAC/BG,EAAIN,EAAI,GAAOO,GAAIJ,EAAM,GAAI,CAAC,CAAC,CACpC,EACA,MAAO,CAAE,MAAAA,EAAO,QAAAE,CAAQ,CAC1B,CAEA,SAASG,IAAiBC,EAAiBC,EAAiB,CAC1D,GAAM,CAAE,MAAAP,EAAO,QAAAE,CAAQ,EAAIP,IAAkCW,CAAE,EAEzDT,EAASC,GAAWC,GAAUQ,EAAI,CAAC,EAAG,CAAC,CAAC,CAAC,EACzCC,EAAcJ,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEW,EAAcR,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAClEU,EAAcR,GAAOK,EAAOC,GAAON,GAAIP,EAAI,GAAI,CAAC,CAAC,EAAGG,EAAM,EAAE,EAAG,CAAC,EAChEa,EAAcV,EAAOM,EAAOL,GAAIP,EAAI,GAAI,EAAE,EAAGG,EAAM,EAAE,EAAGE,EAAQ,EAAE,EAExE,OAAUH,GACLe,GAAM,CACJb,GAAIU,EAAUH,CAAQ,EACtBP,GAAIY,EAAUD,CAAQ,EACtBT,EAAIQ,EAAUH,CAAQ,EACtBL,EAAIU,EAAUD,CAAQ,CAC3B,CAAC,EACD,CAAC,EAAG,CAAC,CACP,CACF,CAEO,SAASG,GAAYC,EAA6BC,EAA+BC,EAA2B,CACjH,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYJ,EAAe,MAAM,GAEnCK,EAAQhB,IACPiB,EAAWC,GAAKL,EAAO,UAAW,CAACE,EAAW,EAAG,CAAC,CAAC,EAAG,CAAC,GAAI,CAAC,CAAC,EAC7DE,EAAQN,EAAgB,CAAC,GAAI,CAAC,CAAC,CACpC,EACAK,EAAWC,EAAQD,EAAO,CAACD,EAAYC,EAAM,MAAM,GAAKD,EAAY,CAAC,CAAC,EAEtE,IAAMI,EAAsBC,GAAWC,GAAMT,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,EAAE,CAAC,CAAC,EACnFU,EAAYD,GAAMF,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,CAAC,CAAC,EAE9DG,EAAYL,EAAQK,EAAQ,CAACP,EAAWO,EAAO,MAAM,EAAY,CAAC,EAElE,IAAMC,EAAkB9B,GAAQuB,CAAK,EAC/BQ,EAAmB/B,GAAQ6B,CAAM,EAEvC,MAAO,CAAE,MAAOC,EAAc,OAAQC,CAAc,CACtD,CAAC,CACH,CCrDO,SAASC,GACdC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYH,EAAE,MAAM,GACpBI,EAA2BC,EAC/BC,GAAUN,EAAGC,EAAO,sBAAsB,EAC1C,CAACE,EAAW,GAAI,EAAG,CAAC,CACtB,EACMI,EAAqBF,EACzBC,GAAUN,EAAGC,EAAO,eAAe,EACnC,CAACE,EAAW,GAAI,CAAC,CACnB,EACA,MAAO,CAAE,sBAAAC,EAAuB,gBAAAG,CAAgB,CAClD,CAAC,CACH,CCfO,SAASC,GACdC,EACAC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAQC,GAAmBL,EAAGE,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACnDI,EAAQD,GAAmBD,EAAOF,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDK,EAAQF,GAAmBC,EAAOJ,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDM,EAAQH,GAAmBE,EAAOL,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDO,EAAQJ,GAAmBG,EAAON,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDQ,EAAQL,GAAmBI,EAAOP,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDS,EAAQN,GAAmBK,EAAOR,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDU,EAAQP,GAAmBM,EAAOT,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EAEvDW,EAAiBC,GAAmBb,EAAQC,EAAO,eAAe,EAClEa,EAAiBD,GAAmBd,EAAGE,EAAO,eAAe,EAC7Dc,EAAiBF,GAAmBR,EAAOJ,EAAO,eAAe,EACjEe,EAAiBH,GAAmBN,EAAON,EAAO,eAAe,EACjEgB,EAAiBJ,GAAmBJ,EAAOR,EAAO,eAAe,EACjEiB,EAAiBL,GAAmBF,EAAOV,EAAO,eAAe,EAEjEkB,EAAoBC,GAAO,CAC/BR,EAAe,sBACfE,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,qBACjB,EAAG,CAAC,EAEEG,EAAsBD,GAAO,CACjCR,EAAe,gBACfE,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,eACjB,EAAG,CAAC,EAEJ,MAAO,CACL,eAAAC,EACA,iBAAAE,CACF,CACF,CAAC,CACH,CC9CO,IAAMC,GAAN,KAA4B,CAOjC,YAAY,CAAE,cAAAC,EAAe,WAAAC,CAAW,EAA4B,CAAC,EAAG,CANxE,KAAU,MAAQ,wBAUhB,GAHA,KAAK,eAAiBD,GAAiB,GACvC,KAAK,YAAcC,GAAc,IAE7B,OAAO,KAAK,gBAAmB,UAAY,KAAK,gBAAkB,GAAK,KAAK,gBAAkB,EAChG,MAAM,IAAI,MAAM,GAAG,KAAK,+DAA+D,EAGzF,GAAI,OAAO,KAAK,aAAgB,SAC9B,MAAM,IAAI,MAAM,GAAG,KAAK,4CAA4C,CAExE,CAEA,IAAI,eAAwB,CAAE,OAAO,KAAK,cAAgB,CAE1D,IAAI,YAAqB,CAAE,OAAO,KAAK,WAAa,CACtD,ECbO,IAAMC,GAAN,cAA6BC,EAAyB,CAC3D,aAAc,CACZ,MAAM,gBAAgB,CACxB,CAEO,aAAaC,EAAiB,CACnC,GAAM,CAAE,OAAAC,CAAO,EAAI,KACnB,GAAI,CAACA,EAAQ,MAAM,IAAI,MAAM,8CAA8C,EAC3E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAK,EAAG,SAAS,EAChEK,EAAOC,GAAOC,GAAIJ,EAAa,KAAK,EAAG,CAAC,EACxCK,EAAWC,GAAYJ,EAAGJ,EAAO,WAAW,EAC5C,CAAE,eAAAS,EAAgB,iBAAAC,CAAiB,EAAIC,GAAgBJ,EAAS,IAAKA,EAAS,OAAQP,EAAO,gBAAgB,EACnH,OAAOY,GAAYH,EAAgBC,EAAkBV,EAAO,YAAY,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQD,EAAkB,CACrC,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,YAAYA,EAAkBe,EAAkC,CAAC,EAA6B,CACzG,GAAM,CAAE,WAAAC,EAAY,cAAAC,CAAc,EAAI,IAAIC,GAAsBH,CAAO,EACjEI,EAAW,MAAML,GAAWd,CAAK,EACjC,CAAE,MAAOoB,EAAQ,OAAQC,CAAQ,EAAI,KAAK,aAAaF,CAAQ,EAC/DG,EAAQF,EAAO,GACfG,EAASF,EAAQ,GACvB,QAASG,EAAI,EAAGA,EAAIJ,EAAO,OAAQI,IACjCJ,EAAOI,GAAG,QAAQ,EAClBH,EAAQG,GAAG,QAAQ,EAErB,IAAMC,EAAa,MAAM,KAAKF,EAAO,SAAS,CAAC,EAEzCG,EAAUC,GAAkBL,EAAOG,EAAwBT,EAD5C,GACsEC,CAAa,EAClGW,EAAeT,EAAS,2BAA2B,CAAC,EACpDU,EAAYV,EAAS,UACrBW,EAAOD,EAAYD,EAAa,MAChCG,EAAOF,EAAYD,EAAa,OAChCI,EAAYV,EAAM,UAAU,EAC5BW,EAAUP,EACb,IAAKQ,GAAQ,CACZ,GAAM,CAACC,EAAKC,CAAM,EAAI,CACpB,KAAK,IAAI,EAAGJ,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMN,CAAI,EACnB,CAACO,EAAMC,CAAK,EAAI,CACpB,KAAK,IAAI,EAAGP,EAAUE,GAAK,EAAE,EAC7B,KAAK,IAAI,EAAKF,EAAUE,GAAK,EAAE,CACjC,EAAE,IAAKG,GAAQA,EAAMP,CAAI,EACzB,OAAO,IAAIU,GACTf,EAAWS,GACX,IAAIO,GAAKH,EAAMH,EAAKI,EAAQD,EAAMF,EAASD,CAAG,EAC9C,CAAE,OAAQhB,EAAS,eAAe,CAAC,EAAG,MAAOA,EAAS,cAAc,CAAC,CAAE,CACzE,CACF,CAAC,EACH,OAAAG,EAAM,QAAQ,EACdC,EAAO,QAAQ,EACRU,CACT,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,ECjFO,SAASE,IAAqBC,EAAuB,CAC1D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CAEO,SAASE,IAAuBH,EAAuB,CAC5D,OAAOD,IAAqBC,CAAO,CACrC,CAGO,IAAMI,GAAN,cAA+BF,EAAe,CAAC,ECd/C,IAAMG,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,QAAU,OAAQ,EAC5B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,OAAQ,OAAO,EACzB,IAAIA,GAAM,QAAS,OAAO,CAC5B,EAEaC,GAAwB,CACnC,IAAID,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaE,GAA+C,CAAC,QAAS,QAAS,MAAM,EAExEC,GAAqB,oBACrBC,GAAoC,mCCVjD,IAAMC,GAAYC,GAAa,OAAOA,GAAQ,SAEvC,SAASC,GAAeC,EAAa,CAC1C,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,mBAAmBA,GAAQ,EAG7C,GAAI,OAAOA,EAAO,oBAAuB,UACvC,MAAM,IAAI,MAAM,wDAAwDA,EAAO,oBAAoB,EAGrG,GAAI,CAACH,GAASG,EAAO,YAAY,GAAKA,EAAO,aAAe,GAAKA,EAAO,aAAe,EACrF,MAAM,IAAI,MAAM,gEAAgEA,EAAO,cAAc,EAGvG,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,MAAOC,GAAW,OAAOA,GAAM,QAAQ,EAE1D,MAAM,IAAI,MAAM,kEAAkE,KAAK,UAAUD,EAAO,OAAO,GAAG,EAGpH,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,IAAKE,GAAWA,GAAK,CAAC,CAAC,EAAE,MAAOA,GAAWL,GAASK,EAAE,CAAC,GAAKL,GAASK,EAAE,CAAC,CAAC,EAE5F,MAAM,IAAI,MAAM,wEAAwE,KAAK,UAAUF,EAAO,OAAO,GAAG,EAG1H,GAAIA,EAAO,UACT,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1BA,EAAO,QAAQ,SAAW,GAC1B,CAACA,EAAO,QAAQ,MAAMH,EAAQ,GAEjC,MAAM,IAAI,MAAM,8EAA8E,KAAK,UAAUG,EAAO,OAAO,GAAG,CAElI,CCjDO,SAASG,GAAMC,EAA6B,CACjD,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EAAIH,EAAMI,GAAO,kBAAmB,CAAC,EACpD,OAAUC,EAAOC,GAAQC,GAAIP,EAAGE,CAAG,CAAC,EAAGA,CAAG,CAC5C,CAAC,CACH,CCFO,SAASM,GAAkBC,EAAgBC,EAAwC,CACxF,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAOF,EAAKF,EAAO,KAAK,QAAS,CAAC,EAAG,CAAC,EAAG,OAAO,EACzDE,EAASG,GAAIH,EAAKF,EAAO,GAAG,GAAG,EAC/BE,EAASI,EAAIJ,EAAKF,EAAO,GAAG,OAAO,EACnCE,EAASK,EAAIL,EAAKF,EAAO,KAAK,IAAI,EAC3BQ,GAAMN,CAAG,CAClB,CAAC,CACH,CCTO,SAASO,GAAuBC,EAAgBC,EAA0C,CAC/F,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAgBF,EAAKF,EAAO,iBAAkBA,EAAO,iBAAkB,CAAC,EAAG,CAAC,EAAG,OAAO,EAC/FE,EAASG,EAAIH,EAAKF,EAAO,IAAI,EACtBM,GAAMJ,CAAG,CAClB,CAAC,CACH,CCHA,SAASK,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAEhF,SAASG,EAAuBC,EAAcC,EAAiC,CAC7E,IAAMC,EAASC,GAASR,EAAeK,CAAI,CAAC,EACtCI,EAAaD,GAASR,EAAeK,CAAI,CAAC,EAEhD,OAAAJ,EAAc,KACZ,CAAE,UAAW,GAAGK,OAAmB,EACnC,CAAE,UAAW,GAAGA,WAAuB,CACzC,EACO,CAAE,IAAAC,EAAK,QAAAE,CAAQ,CACxB,CAEA,SAASC,EAA+BC,EAAoBC,EAAqBN,EAAyC,CACxH,IAAMO,EAAOX,EAAkBS,EAAYC,EAAa,EAAG,GAAGN,QAAmB,EAC3EQ,EAAKV,EAAuBQ,EAAa,GAAGN,MAAiB,EACnE,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CACA,IAAMC,EAA6BC,GAAkChB,EAAgBC,CAAa,EAElG,MAAO,CACL,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,CACF,CAEO,SAASE,GACdC,EACAC,EACAC,EACAC,EACgE,CAChE,GAAM,CACJ,eAAArB,EACA,oBAAAsB,CACF,EAAIC,GAAsBL,CAAO,EAE3BjB,EAAgC,CAAC,EACjC,CACJ,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,EAAIhB,IAAkBC,EAAgBC,CAAa,EAC/CuB,EAEJ,GAAIL,EAAO,mBAAoB,CAC7B,GAAM,CAACM,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQf,EAAO,mBACjBjB,EAAkBuB,EAAIC,EAAI,EAAG,OAAO,EACpCX,EAA2BU,EAAIC,EAAI,OAAO,EACxCS,EAAQpB,EAA2BW,EAAIC,EAAI,OAAO,EAClDS,EAAQrB,EAA2BY,EAAIC,EAAI,OAAO,EAClDS,EAAQtB,EAA2Ba,EAAIC,EAAI,OAAO,EAClDS,EAAQvB,EAA2Bc,EAAIC,EAAI,OAAO,EAClDS,EAAQxB,EAA2Be,EAAIC,EAAI,OAAO,EAClDS,EAAQR,EAAKjB,EAA2BgB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQR,EAAKlB,EAA2BiB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQxC,EAAkB+B,GAAMD,GAAMD,EAAI,EAAIX,EAAiB,EAAG,OAAO,EAC/EI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,KAAO,CACL,GAAM,CAACjB,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQxB,EAA+Be,EAAIC,EAAI,OAAO,EACtDS,EAAQzB,EAA+BgB,EAAIC,EAAI,OAAO,EACtDS,EAAQ1B,EAA+BiB,EAAIC,EAAI,OAAO,EACtDS,EAAQ3B,EAA+BkB,EAAIC,EAAI,OAAO,EACtDS,EAAQ5B,EAA+BmB,EAAIC,EAAI,OAAO,EACtDS,EAAQ7B,EAA+BoB,EAAIC,EAAI,OAAO,EACtDS,EAAQ9B,EAA+BqB,EAAIC,EAAI,OAAO,EACtDS,EAAQ/B,EAA+BsB,EAAIC,EAAI,OAAO,EACtDS,EAAQxC,EAAkB+B,EAAI,EAAIb,EAAiB,EAAG,OAAO,EACnEI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,CACA,GAAIpB,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAElF,MAAO,CAAE,OAAAE,EAAQ,cAAAvB,CAAc,CACjC,CCjFA,SAAS0C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAuBC,EAA2B,CACzD,IAAMC,EAAMJ,EAAmB,GAAGG,QAAc,CAAC,EAC3CE,EAAUL,EAAmB,GAAGG,YAAkB,CAAC,EACzD,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CAEA,SAASC,EAAkBH,EAA4B,CACrD,IAAMI,EAAUP,EAAmB,GAAGG,YAAkB,CAAC,EACnDK,EAAOR,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAI,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASC,EAA+BN,EAAmC,CACzE,IAAMO,EAAOJ,EAAkB,GAAGH,QAAa,EACzCQ,EAAKT,EAAuB,GAAGC,MAAW,EAChD,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CAEA,IAAMC,EAA6BC,GAA+Bb,CAAkB,EACpF,MAAO,CACL,kBAAAM,EACA,+BAAAG,EACA,2BAAAG,CACF,CACF,CAEO,SAASE,GACdhB,EACAiB,EACgE,CAChE,IAAMhB,EAAgC,CAAC,EAEjC,CACJ,kBAAAO,EACA,+BAAAG,EACA,2BAAAG,CACF,EAAIf,IAAkBC,EAAWC,CAAa,EAE1CiB,EAEJ,GAAID,EAAO,mBAAoB,CAE7B,IAAME,EAAcF,EAAO,aAAeA,EAAO,YAAY,QAAU,EACvEC,EAAS,CACP,MAAOD,EAAO,mBAAqBT,EAAkB,OAAO,EAAIM,EAA2B,OAAO,EAClG,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAON,EAAkB,OAAO,CAClC,CACF,MACEU,EAAS,CACP,MAAOP,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOH,EAAkB,OAAO,CAClC,EAGF,OAAAY,GAA2BpB,EAAWC,CAAa,EAC5C,CAAE,OAAAiB,EAAQ,cAAAjB,CAAc,CACjC,CC9EO,IAAMoB,GAAN,KAAwB,CAO7B,YAAY,CAAE,UAAAC,EAAW,eAAAC,CAAe,EAAwB,CAAC,EAAG,CANpE,KAAU,MAAQ,oBAUhB,GAHA,KAAK,WAAaD,GAAa,IAC/B,KAAK,gBAAkBC,GAAkB,GAErC,OAAO,KAAK,YAAe,UAAY,KAAK,WAAa,KAAO,EAClE,MAAM,IAAI,MAAM,GAAG,KAAK,2DAA2D,EAGrF,GAAI,OAAO,KAAK,iBAAoB,UAAY,KAAK,iBAAmB,GAAK,KAAK,iBAAmB,EACnG,MAAM,IAAI,MAAM,GAAG,KAAK,gEAAgE,CAE5F,CAEA,IAAI,WAAoB,CAAE,OAAO,KAAK,UAAY,CAElD,IAAI,gBAAyB,CAAE,OAAO,KAAK,eAAiB,CAC9D,ECLO,IAAMC,GAAN,cAA6BC,EAAmC,CAKrE,YAAYC,EAA0B,CACpC,MAAM,YAAY,EAClBC,GAAeD,CAAM,EACrB,KAAK,QAAUA,CACjB,CAEA,IAAW,QAA2B,CACpC,OAAO,KAAK,OACd,CAEA,IAAW,iBAA2B,CACpC,OAAO,KAAK,OAAO,iBAAmB,KAAK,OAAO,QAAQ,OAAS,CACrE,CAEA,IAAW,iBAA0B,CACnC,MAAO,IAAK,KAAK,gBAAkB,KAAK,OAAO,QAAQ,OAAS,EAClE,CAEO,cAAcE,EAAgBC,EAAiD,CACpF,IAAIC,EAAMC,GAAkBH,EAAGC,EAAO,KAAK,EAC3C,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EAClCI,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaD,EAAgBC,EAAsC,CACxE,IAAIC,EAAM,KAAK,OAAO,mBAClBI,GAAMD,GAAUL,EAAGC,EAAO,MAAqB,QAAS,EAAK,CAAC,EAC9DM,GAAuBP,EAAGC,EAAO,KAA4B,EACjE,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EACjEA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EAC1DG,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaO,EAAiBC,EAAgC,CACnE,GAAM,CAAE,OAAAR,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,0CAA0C,EAG5D,OAAUS,EAAK,IAAM,CACnB,IAAIC,EAAiBC,GAAKJ,EAAM,cAAcC,EAAW,EAAK,EAAG,SAAS,EAC1E,OAAAE,EAAc,KAAK,OAAO,QACtBE,GAAUF,EAAa,KAAK,OAAO,OAAO,EAC1CA,EACJA,EAAcA,EAAY,IAAI,GAAG,EAC1B,KAAK,OAAO,mBACf,KAAK,aAAaA,EAAaV,CAAyB,EACxD,KAAK,cAAcU,EAAaV,CAAoC,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQO,EAAkBC,EAAyC,CAC9E,OAAO,KAAK,aAAa,MAAMK,GAAWN,CAAK,EAAGC,CAAS,CAC7D,CAEA,MAAa,OAAOD,EAAkBO,EAAoC,CAAC,EAA+B,CACxG,GAAM,CAAE,UAAAN,EAAW,eAAAO,CAAe,EAAI,IAAIC,GAAkBF,CAAa,EACnEG,EAAW,MAAMJ,GAAWN,CAAK,EACjCN,EAAM,MAAM,KAAK,aAAagB,EAAUT,CAAS,EACjDU,EAAUT,EAAK,IAASU,GAAQlB,CAAG,EAAE,GAAG,WAAW,CAAC,EACpDmB,EAAkB,CACtB,MAAOH,EAAS,cAAc,CAAC,EAC/B,OAAQA,EAAS,eAAe,CAAC,CACnC,EAEMI,EAAU,MAAM,KAAK,aAAaH,EAAMD,EAAS,2BAA2B,CAAC,EAAGF,CAAc,EACpGd,EAAI,QAAQ,EACZiB,EAAK,QAAQ,EAEb,IAAMI,EAAQD,EAAQ,IAAKE,GAAQA,EAAI,GAAG,EACpCC,EAASH,EAAQ,IAAKE,GAAQA,EAAI,KAAK,EACvCE,EAAcJ,EAAQ,IAAKE,GAAQA,EAAI,UAAU,EACjDG,EAAaL,EAAQ,IAAKE,GAAQ,KAAK,OAAO,QAAQA,EAAI,MAAM,EAgBtE,OAdgBI,GACdL,EAAM,IAAKM,GAAQA,EAAI,QAAQpB,CAAS,CAAC,EACzCgB,EACA,KAAK,OAAO,aACZ,EACF,EAE2B,IAAKK,GAAQ,IAAIC,GAC1CN,EAAOK,GACPJ,EAAYI,GACZH,EAAWG,GACXP,EAAMO,GACNT,CACF,CAAC,CAEH,CAEU,qBAA8B,CACtC,MAAO,EACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,MAAM,CAC1D,CAEU,cAAcE,EAAuB,CAC7C,IAAMC,EAAc,KAAK,OAAO,aAAevC,GAAe,qBAExDwC,EAAaD,EAAcA,EAAY,OAAS,OACtD,GAAIC,IAAe,GAAKA,IAAe,GAAKA,IAAe,EACzD,MAAM,IAAI,MAAM,oEAAoEA,yBAAkC,EAExH,OAAOC,GAAcH,EAAS,KAAK,OAAQ,KAAK,gBAAiBC,CAAW,CAC9E,CAEA,MAAgB,aACdG,EACAC,EACAvB,EACA,CACA,GAAM,CAAE,MAAAwB,EAAO,OAAAC,CAAO,EAAIF,EACpB9B,EAAY,KAAK,IAAI+B,EAAOC,CAAM,EAClCC,EAAoBjC,EAAY+B,EAChCG,EAAoBlC,EAAYgC,EAEhCG,EAAWN,EAAa,MAAM,GAC9BO,EAAW,KAAK,OAAO,QAAQ,OAE/B,CAACC,EAAaC,EAAcC,CAAiB,EAAOtC,EAAK,IAAM,CACnE,IAAMuC,EAAWX,EAAa,QAAQ,CAACM,EAAUA,EAAUC,EAAU,KAAK,eAAe,CAAC,EAEpFtB,EAAQ0B,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACtEpB,EAASwB,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACvEnB,EAAc,KAAK,gBAClBwB,GAAQD,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,KAAK,OAAO,QAAQ,MAAM,CAAC,EAAG,CAAC,EACnGM,GAAO,CAAC,EACf,MAAO,CAAC5B,EAAOE,EAAQC,CAAW,CACpC,CAAC,EAEKJ,EAAU,CAAC,EACX8B,EAAa,MAAML,EAAa,MAAM,EACtCM,EAAY,MAAMP,EAAY,MAAM,EAC1C,QAASQ,EAAM,EAAGA,EAAMV,EAAUU,IAChC,QAASC,EAAM,EAAGA,EAAMX,EAAUW,IAChC,QAASC,EAAS,EAAGA,EAASX,EAAUW,IAAU,CAChD,IAAMC,EAAQC,GAAQN,EAAWE,GAAKC,GAAKC,GAAQ,EAAE,EACrD,GAAI,CAACxC,GAAkByC,EAAQzC,EAAgB,CAC7C,IAAM2C,GAAQJ,EAAMG,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYF,EACrEkB,GAAQN,EAAMI,GAAQL,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,GAAKZ,EAAYD,EACrEkB,EAAe,KAAK,IAAIR,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYF,EACvGoB,EAAgB,KAAK,IAAIT,EAAUC,GAAKC,GAAKC,GAAQ,EAAE,EAAI,KAAK,OAAO,QAAQA,GAAQ,EAAKZ,EAAYD,EACxG3C,EAAK2D,EAAOE,EAAa,EACzBE,EAAKH,EAAOE,EAAc,EAC1BE,EAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EACzB,CAAE,WAAAS,EAAY,MAAAC,CAAM,EAAI,KAAK,gBAC/B,MAAM,KAAK,sBAAsBlB,EAAkCgB,CAAG,EACtE,CAAE,WAAY,EAAG,MAAO,CAAE,EAC9B1C,EAAQ,KAAK,CACX,IAAK,IAAI6C,GAAYnE,EAAG+D,EAAG/D,EAAI6D,EAAYE,EAAID,CAAW,EAC1D,MAAAL,EACA,WAAYA,EAAQQ,EACpB,MAAAC,EACA,GAAGF,CACL,CAAC,CACH,CACF,CAIJ,OAAAlB,EAAY,QAAQ,EACpBC,EAAa,QAAQ,EACrBC,EAAkB,QAAQ,EACnB1B,CACT,CAEA,MAAc,sBAAsB8C,EAA4BJ,EAAmD,CACjH,GAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EAAIQ,EACvBK,EAAc,MAAMD,EAAc,MAAM,EAC9C,OAAO,MAAM,KAAK,OAAO,QAAQ,MAAM,EAAE,KAAK,CAAC,EAC5C,IAAI,CAACE,EAAGC,IAAMF,EAAYf,GAAKC,GAAKC,GAAQe,EAAE,EAC9C,IAAI,CAACN,EAAYC,KAAW,CAC3B,WAAAD,EACA,MAAAC,CACF,EAAE,EACD,OAAO,CAACM,EAAKC,IAAUD,EAAI,WAAaC,EAAK,WAAaD,EAAMC,CAAK,CAC1E,CACF,EAjNaC,GAAN9E,GAAM8E,GACG,qBAAuB,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,IAAK,KAAM,IAAI,ECPzE,IAAMC,GAAN,cAAyBC,EAAe,CAC7C,YAAYC,EAAqB,GAAM,CACrC,IAAMC,EAAS,CACb,mBAAAD,EACA,aAAcE,GACd,QAAS,CAAC,MAAM,EAChB,GAAIF,EACA,CACA,QAASG,GACT,QAASC,EACX,EACE,CACA,QAASC,GACT,gBAAiB,EACnB,CACJ,EAEA,MAAMJ,CAAM,CACd,CAEA,IAAW,oBAA8B,CACvC,OAAO,KAAK,OAAO,kBACrB,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYK,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,OAAO,KAAK,mBAAqBE,GAAoCC,EACvE,CAEmB,2BAA2BC,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,EClDO,SAASC,IAAiBC,EAAuBC,EAAqB,GAAM,CACjF,IAAMC,EAAM,IAAIC,GAAWF,CAAkB,EAC7C,OAAAC,EAAI,eAAeF,CAAO,EACnBE,CACT,CCPO,IAAME,GAAN,cAAsCC,EAAkB,CAAxD,kCACL,KAAmB,MAAQ,0BAC7B,ECNO,IAAMC,GAAN,KAAwB,CAE7B,MAAa,KAAKC,EAA2D,CAC3E,OAAOA,EAAY,MAAM,KAAK,IAAI,CAAC,CACrC,CAEA,MAAa,KAAkB,CAC7B,MAAM,IAAI,MAAM,yCAAyC,CAC3D,CACF,ECFA,eAAsBC,GACpBC,EACAC,EAEAC,EACAC,EAEAC,EAAwF,CAAC,CAAE,YAAAC,CAAY,IAAMA,EAC7G,CACA,IAAMC,EAAYN,EAAc,IAAKO,GAAkBC,GAAoBD,CAAY,EACnFH,EAAoBG,CAAY,EAChCA,EAAa,SAAU,EACrBE,EAAgDN,IACpDF,aAAoBS,GAChB,MAAMC,GAAmBV,EAAOK,CAAS,EACzC,MAAMM,GAAaX,EAAOK,CAAS,GAEnCO,EAAU,MAAMX,EAAeO,CAAK,EAC1C,OAAAA,EAAM,QAASK,GAAMA,aAAgBJ,IAAUI,EAAE,QAAQ,CAAC,EACnDD,CACT,CAEA,eAAsBE,GACpBR,EACAN,EAEAe,EACAb,EAEAC,EACA,CACA,OAAOL,GACL,CAACQ,CAAY,EACbN,EACA,MAAOQ,GAAUO,EAAcP,EAAM,EAAE,EACvCN,EACAC,CACF,CACF,CC3CO,IAAMa,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaC,GAAqC,CAAC,QAAS,QAAS,MAAM,ECFpE,IAAMC,GAAN,cAA+BC,EAAe,CACnD,aAAc,CACZ,IAAMC,EAAS,CACb,mBAAoB,GACpB,aAAcC,GACd,QAAS,CAAC,MAAM,EAChB,QAASC,GACT,QAASC,GACT,mBAAoB,GACpB,YAAa,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,GAAG,CAC5C,EAEA,MAAMH,CAAM,CACd,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYI,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,MAAO,0BACT,CAEmB,2BAA2BE,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,ECzBO,IAAMC,GAAO,CAClB,eAAgB,IAAIC,GACpB,iBAAkB,IAAIC,GACtB,WAAY,IAAIC,GAChB,kBAAmB,IAAIC,GACvB,sBAAuB,IAAIC,GAC3B,mBAAoB,IAAIC,GACxB,kBAAmB,IAAIC,GACvB,aAAc,IAAIC,EACpB,EASaC,IAAiB,CAACC,EAAkBC,IAA6DX,GAAK,eAAe,YAAYU,EAAOC,CAAO,EAS/IC,IAAmB,CAACF,EAAkBC,IAA+DX,GAAK,iBAAiB,YAAYU,EAAOC,CAAO,EASrJE,IAAa,CAACH,EAAkBC,IAA0DX,GAAK,WAAW,YAAYU,EAAOC,CAAO,EASpIG,IAAuBJ,GAAmEV,GAAK,kBAAkB,gBAAgBU,CAAK,EAWtIK,IAA2BL,GAAmEV,GAAK,sBAAsB,gBAAgBU,CAAK,EAY9IM,IAAyBN,GAA6DV,GAAK,mBAAmB,sBAAsBU,CAAK,EASzIO,IAA4BP,GAAmEV,GAAK,kBAAkB,mBAAmBU,CAAK,EAS9IQ,IAAuBR,GAAiFV,GAAK,aAAa,oBAAoBU,CAAK,EAEnJS,IAA2BC,GAAgBpB,GAAK,eAAe,KAAKoB,CAAG,EACvEC,IAA6BD,GAAgBpB,GAAK,iBAAiB,KAAKoB,CAAG,EAC3EE,IAAuBF,GAAgBpB,GAAK,WAAW,KAAKoB,CAAG,EAC/DG,IAAyBH,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EACxEI,IAA6BJ,GAAgBpB,GAAK,sBAAsB,KAAKoB,CAAG,EAChFK,IAA4BL,GAAgBpB,GAAK,mBAAmB,KAAKoB,CAAG,EAC5EM,IAA2BN,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EAC1EO,IAAsBP,GAAgBpB,GAAK,aAAa,KAAKoB,CAAG,EAGhEQ,IAAyBT,IACzBU,IAAcpB,IACdqB,IAAkBhB,ICtGxB,IAAMiB,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAmFL,EAA0E,CAClK,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAE3BC,EAAwB,MAAMC,GAClCF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IACvBA,EAAM,IAAKC,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,CAA6B,CACjG,EACA,KAAK,cACP,EAEA,OAAOJ,EAAc,IACnB,CAACM,EAAcC,IAAMC,GAAmCF,EAAcL,EAAsBM,EAAE,CAChG,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA2B,KAAM,KAAK,KAAK,CACxD,CACF,EAEaC,GAAN,cAAsFhB,EAA8F,CACzL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAGF,IAAMK,EAAkB,MAAMC,GAC5BN,EACA,KAAK,MACJF,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,EACxD,KAAK,cACP,EAEA,OAAOI,GAA0BF,EAAcK,CAAe,CAChE,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHf,EAAuC,CAC1J,kBAAmB,CAC1B,OAAO,IAAIgB,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAA0HP,EAA0C,CAChK,kBAAmB,CAC1B,OAAO,IAAIQ,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC3EO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAgFL,EAAuE,CAC5J,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAC3BC,EAAqB,MAAMC,GAC/BF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,aAAa,oBAAoBD,CAAI,CAAoC,CAAC,EAChI,KAAK,cACP,EACA,OAAOJ,EAAc,IAAI,CAACM,EAAcC,IAAM,CAC5C,GAAM,CAAE,IAAAC,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAIT,EAAmBM,GAC9D,OAAOI,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAAC,CACH,CAEA,qBAAsB,CACpB,OAAO,IAAIK,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFpB,EAA2F,CACnL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,GAAM,CAAE,IAAAE,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAI,MAAMK,GAC/CT,EACA,KAAK,MACJF,GAASC,GAAK,aAAa,oBAAoBD,CAAI,EACpD,KAAK,cACP,EACA,OAAOO,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAEA,qBAAsB,CACpB,OAAO,IAAIQ,GAAiC,KAAM,KAAK,KAAK,CAC9D,CACF,EAEaC,GAAN,cAAoHlB,EAAoC,CACpJ,qBAAsB,CAC7B,OAAO,IAAImB,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHN,EAAuC,CAC1J,qBAAsB,CAC7B,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,ECzEO,IAAMC,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EACV,CACA,MAAM,EAJI,gBAAAD,EAEA,WAAAC,CAGZ,CACF,EAEaC,GAAN,cAAsGJ,EAAyE,CACpL,MAAsB,KAA8C,CAClE,IAAMK,EAAgB,MAAM,KAAK,WAQjC,OAPoB,MAAMC,GACxBD,EACA,KAAK,MACJE,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,CAA0B,CAAC,EACxH,KACCE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,GACmB,IAAI,CAACC,EAAYC,IAAMC,GAAkCR,EAAcO,GAAID,CAAU,CAAC,CAC3G,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CACF,EAEaC,GAAN,cAAwGhB,EAA6F,CAC1M,MAAsB,KAAwD,CAC5E,IAAMU,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,IAAMC,EAAa,MAAMM,GACvBP,EACA,KAAK,MACJF,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,EAC5D,KAECE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,EACA,OAAOG,GAAyBH,EAAcC,CAAU,CAC1D,CAEA,qBAAsB,CACpB,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CACF,ECnDO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,wBAAAC,CAGZ,CAEA,IAAc,aAAyD,CACrE,OAAO,KAAK,mBACRC,GAAK,sBACLA,GAAK,iBACX,CACF,EAEaC,GAAN,cAAgFN,EAAqE,CAC1J,MAAsB,KAA6C,CACjE,IAAMO,EAAgB,MAAM,KAAK,WAC3BC,EAAaD,EAAc,IAAKE,GAAQA,EAAI,SAAS,EACrDC,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAOJ,CAAU,EAC/C,MAAMK,GAAa,KAAK,MAAOL,CAAU,EACvCM,EAAsB,MAAM,QAAQ,IAAIJ,EAAM,IAAKK,GAAS,KAAK,YAAY,gBAAgBA,CAAI,CAAC,CAAC,EACzG,OAAAL,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EAC3CT,EACZ,OAAO,CAACU,EAAeC,IAAMJ,EAAoBI,EAAE,EACnD,IAAI,CAACC,EAAcD,IAAME,GAAiCD,EAAcL,EAAoBI,EAAE,CAAC,CAEpG,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFxB,EAAyF,CACjL,MAAsB,KAAuD,CAC3E,IAAMmB,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAEF,GAAM,CAAE,UAAAM,CAAU,EAAIN,EAChBT,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAO,CAACa,CAAS,CAAC,EAChD,MAAMZ,GAAa,KAAK,MAAO,CAACY,CAAS,CAAC,EACxCC,EAAY,MAAM,KAAK,YAAY,gBAAgBhB,EAAM,EAAE,EACjE,OAAAA,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EACnDI,GAAiCD,EAAcO,CAAS,CACjE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC1EO,IAAMC,GAAN,cAA2CC,EAAwB,CAExE,YAAsBC,EAA4BC,EAAgC,IAAIC,GAAyB,CAC7G,MAAM,EADc,WAAAF,EAA4B,aAAAC,CAElD,CACF,EAEaE,GAAN,cAAiCL,EAAqC,CAC3E,MAAsB,KAAgC,CACpD,GAAM,CAAE,MAAAE,EAAO,QAAAC,CAAQ,EAAI,KACvBG,EACJ,GAAIH,aAAmBI,GAAyBD,EAASE,GAAK,iBAAiB,YAAYN,EAAOC,CAAO,UAChGA,aAAmBC,GAAuBE,EAASE,GAAK,eAAe,YAAYN,EAAOC,CAAO,UACjGA,aAAmBM,GAAmBH,EAASE,GAAK,WAAW,YAAYN,EAAOC,CAAO,MAC7F,OAAM,IAAI,MAAM,sHAAsH,EAC3I,OAAOG,CACT,CAEQ,gCAAmE,CACzE,OAAO,IAAI,QAAiC,CAACI,EAASC,IAAW,CAC/D,KAAK,IAAI,EACN,KAAMC,GAAeF,EAAQE,EAAW,IAAKC,GAAcC,GAAwB,CAAC,EAAGD,CAAS,CAAC,CAAC,CAAC,EACnG,MAAOE,GAAQJ,EAAOI,CAAG,CAAC,CAC/B,CAAC,CACH,CAEA,kBAAkBC,EAAqB,GAAO,CAC5C,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,MACLD,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIE,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CACF,EAEaC,GAAN,cAAmCpB,EAA+C,CACvF,MAAsB,KAA0C,CAC9D,IAAMqB,EAAiB,MAAM,IAAIhB,GAAmB,KAAK,MAAO,KAAK,OAAO,EACxEiB,EAAgCD,EAAe,GACnD,OAAAA,EAAe,QAASE,GAAkB,CACpCA,EAAc,MAAQD,EAA8B,QAAOA,EAAgCC,EACjG,CAAC,EACMD,CACT,CAEQ,+BAA4E,CAElF,OAAO,IAAI,QAA2C,MAAOZ,GAAY,CACvE,IAAMG,EAAY,MAAM,KAAK,IAAI,EACjCH,EAAQG,EAAYC,GAA4B,CAAC,EAAGD,CAAS,EAAI,MAAS,CAC5E,CAAC,CACH,CAEA,kBAAkBG,EAAqB,GAAO,CAC5C,OAAO,IAAIQ,GACT,KAAK,8BAA8B,EACnC,KAAK,MACLR,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIS,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CACF,ECjGO,SAASC,IAAiBC,EAAkBC,EAAgC,IAAIC,GAA+C,CACpI,OAAO,IAAIC,GAAqBH,EAAOC,CAAO,CAChD,CAEO,SAASG,GAAeJ,EAAkBC,EAAgC,IAAIC,GAA6C,CAChI,OAAO,IAAIG,GAAmBL,EAAOC,CAAO,CAC9C,CCLA,eAAsBK,IAAuBC,EAAkBC,EAAiG,CAC9J,OAAOC,GAAeF,EAAO,IAAIG,GAAsBF,EAAgB,CAAE,cAAAA,CAAc,EAAI,CAAC,CAAC,CAAC,EAC3F,kBAAkB,EAClB,oBAAoB,CACzB,CAEA,eAAsBG,IAAmBJ,EAAkBK,EAAoC,CAAC,EAA4E,CAC1K,OAAOH,GAAeF,EAAO,IAAIM,GAAkBD,CAAa,CAAC,EAC9D,kBAAkB,EAClB,oBAAoB,CACzB,CAEO,IAAME,IAAWR,IClBjB,SAASS,GAAkBC,EAA+BC,EAA+B,CAC9F,GAAID,EAAK,SAAWC,EAAK,OAAQ,MAAM,IAAI,MAAM,gDAAgD,EACjG,IAAMC,EAAQ,MAAM,KAAKF,CAAI,EACvBG,EAAQ,MAAM,KAAKF,CAAI,EAC7B,OAAO,KAAK,KACVC,EACG,IAAI,CAACE,EAAKC,IAAMD,EAAMD,EAAME,EAAE,EAC9B,OAAO,CAACC,EAAKC,IAASD,EAAOC,EAAOA,EAAO,CAAC,CACjD,CACF,CCJO,IAAMC,GAAN,KAAkB,CAIvB,YAAYC,EAAkJC,EAAoB,GAAK,CACrL,KAAK,mBAAqBA,EAC1B,IAAMC,EAAa,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC3D,GAAI,CAACE,EAAW,OAAQ,MAAM,IAAI,MAAM,yDAAyD,EACjG,IAAIC,EAAQ,EACNC,EAAoB,IAAM,UAAUD,MAC1C,KAAK,oBAAsBD,EAAW,IAAKG,GAAS,CAClD,GAAIA,aAAgBC,GAAwB,OAAOD,EACnD,GAAIA,aAAgB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,CAAI,CAAC,EAC/F,GAAIA,EAAK,YAAcA,EAAK,sBAAsB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,EAAK,UAAU,CAAC,EACxI,MAAM,IAAI,MAAM,qMAAqM,CACvN,CAAC,CACH,CAEA,IAAW,oBAA+C,CAAE,OAAO,KAAK,mBAAqB,CAE7F,IAAW,mBAA4B,CAAE,OAAO,KAAK,kBAAoB,CAElE,oBAAoBE,EAA+BC,EAAqC,CAC7F,OAAOA,EACJ,IAAKC,GAAMC,GAAkBD,EAAGF,CAAe,CAAC,EAChD,OAAO,CAACI,EAAIC,IAAOD,EAAKC,EAAI,CAAC,GAAKJ,EAAY,QAAU,EAC7D,CAEO,gBAAgBD,EAA0C,CAC/D,OAAO,KAAK,mBACT,IAAI,CAAC,CAAE,YAAAC,EAAa,MAAAK,CAAM,IAAM,IAAIC,GAAUD,EAAO,KAAK,oBAAoBN,EAAiBC,CAAW,CAAC,CAAC,EAC5G,OAAO,CAACO,EAAMC,IAAUD,EAAK,SAAWC,EAAK,SAAWD,EAAOC,CAAK,CACzE,CAEO,cAAcT,EAA0C,CAC7D,IAAMU,EAAY,KAAK,gBAAgBV,CAAe,EACtD,OAAQU,EAAU,SAAW,KAAK,mBAAsBA,EAAY,IAAIH,GAAU,UAAWG,EAAU,QAAQ,CACjH,CAEO,QAAc,CACnB,MAAO,CACL,kBAAmB,KAAK,mBACxB,mBAAoB,KAAK,oBAAoB,IAAKC,GAAOA,EAAG,OAAO,CAAC,CACtE,CACF,CAEA,OAAc,SAASC,EAAwB,CAC7C,IAAMC,EAAqBD,EAAK,mBAAmB,IAAKD,GAAYZ,GAAuB,SAASY,CAAE,CAAC,EACvG,OAAO,IAAInB,GAAYqB,EAAoBD,EAAK,iBAAiB,CACnE,CACF,EClDO,SAASE,IAAuBC,EAAuB,CAC5D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCHO,SAASE,IAAiBC,EAAYC,EAA4B,CACvE,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAI,IAAIC,GAAWH,EAAW,MAAOA,EAAW,MAAM,EAE5E,GAAIC,GAAS,GAAKC,GAAU,EAC1B,MAAM,IAAI,MAAM,uCAAuC,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG5F,GAAI,MAAM,QAAQH,CAAO,EAEvB,OAAQA,EAAuB,IAAKK,GAAQN,IAAcM,EAAK,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAgB,CAAC,EAGlG,GAAIG,GAAoBN,CAAO,EAAG,CAChC,IAAMO,EAAmBP,EAAQ,UAAU,QAAQE,EAAOC,CAAM,EAC1DK,EAAmBR,EAAQ,mBAAmB,QAAQO,EAAiB,IAAI,MAAOA,EAAiB,IAAI,MAAM,EACnH,OAAOE,GAAwBC,GAAwBV,EAASO,CAAgB,EAAGC,CAAgB,CACrG,CAEA,OAAIG,GAAoBX,CAAO,EACtBU,GAAwBV,EAASA,EAAQ,UAAU,QAAQE,EAAOC,CAAM,CAAC,EAG9EH,aAAmBY,IAAiBZ,aAAmBa,GACjDb,EAAgB,QAAQE,EAAOC,CAAM,EAGxCH,CACT,CCTO,IAAMc,IAAcA", - "names": ["tfjs_esm_exports", "__export", "li", "la", "ua", "ec", "rc", "nc", "oc", "Jn", "Vo", "ca", "pa", "Go", "_l", "ma", "fa", "da", "ga", "ha", "Wo", "Al", "up", "lp", "pg", "Uo", "ui", "cp", "pp", "p1", "vb", "Py", "uo", "Ho", "co", "mp", "$l", "ci", "qo", "fp", "Ko", "Dl", "dp", "hp", "jo", "Xo", "ya", "xa", "Yo", "My", "ia", "gp", "ba", "Zo", "xp", "yp", "bp", "Rl", "jd", "Kd", "u0", "Sb", "wp", "Qo", "Cp", "Hd", "Ca", "wa", "ts", "pi", "Ia", "Ip", "Fl", "va", "es", "rs", "Xd", "ns", "Si", "Ni", "Gc", "Sa", "mi", "Mh", "Na", "os", "Ly", "vp", "po", "Sp", "be", "Ta", "ka", "ss", "zo", "Ol", "Tp", "vh", "Vn", "is", "Ea", "_a", "Np", "as", "Aa", "f1", "$a", "Da", "Ra", "m1", "Nlt", "Su", "ls", "cs", "Pl", "Ep", "kp", "_p", "us", "ps", "ms", "fs", "ds", "Fa", "sc", "Ap", "hs", "fi", "Pa", "La", "Ma", "Oa", "A0", "gs", "di", "Hr", "xh", "hi", "xs", "Tlt", "ys", "bs", "ws", "ic", "kn", "$p", "Dp", "Rp", "Ll", "w0", "Fp", "Jo", "Cs", "Ze", "Is", "Ns", "gi", "Ss", "Pp", "vs", "Op", "Ts", "ja", "ks", "Es", "rl", "za", "Lp", "xi", "Ba", "Xi", "As", "Ga", "_s", "Va", "yi", "Rs", "Wa", "bi", "Ml", "Ua", "zl", "Bl", "Mp", "wi", "$s", "Vl", "Fs", "mo", "Ha", "Gl", "Wl", "Ul", "Os", "Ds", "en", "Ps", "Ls", "Ft", "pe", "Qn", "qa", "Ka", "to", "zp", "Ci", "Hl", "klt", "Xa", "Ii", "vi", "Ee", "tx", "ex", "Y", "uE", "Jp", "Gu", "Ai", "rx", "nx", "ox", "sx", "ix", "ax", "Zl", "lx", "lE", "S", "mE", "Ri", "ux", "cx", "px", "Jl", "mx", "Oj", "dE", "Fi", "Wr", "gy", "bt", "jZ", "J", "fx", "vr", "an", "In", "oe", "dx", "hx", "gx", "xx", "j$", "tm", "vn", "rm", "yx", "wx", "Flt", "Ql", "nm", "fh", "Uu", "om", "cn", "$R", "ah", "B0", "Cx", "Oi", "JZ", "Xl", "hE", "Ix", "Bct", "Nt", "Vct", "ut", "vx", "Sx", "nS", "xE", "Pi", "zct", "Mct", "oS", "Ln", "M", "Dr", "Nx", "Tx", "sr", "ir", "kx", "Hu", "lu", "yo", "Kct", "jct", "Li", "Zp", "gM", "cu", "Mi", "Hj", "xy", "Hct", "m0", "Zd", "Bg", "mlt", "ck", "Bq", "Vq", "Fe", "un", "el", "tu", "oo", "jj", "X$", "BS", "Pr", "ym", "Ex", "_x", "Ax", "De", "qr", "ED", "eu", "sm", "Mn", "iS", "wE", "q7", "K7", "hD", "$x", "Nr", "ru", "Fx", "im", "am", "Fr", "nu", "lm", "Ox", "j6", "CE", "Mt", "uA", "Sr", "ou", "Lx", "IE", "Sn", "Ne", "oh", "vE", "_D", "Ja", "zi", "Mx", "zx", "Y8", "AD", "qu", "Mj", "D", "SE", "NE", "qt", "yh", "Qa", "Gs", "Bi", "fr", "wr", "T", "TE", "pn", "kE", "EE", "_E", "AE", "Bx", "ln", "iu", "Qg", "Vx", "Gct", "$E", "DE", "RE", "FE", "e_", "Xu", "r_", "Vi", "Gi", "Uct", "tl", "Kx", "Yp", "J8", "h1", "Fu", "ZZ", "$D", "Or", "um", "qct", "R", "dr", "n_", "o_", "s_", "i_", "uu", "cm", "pm", "pt", "Bj", "mh", "uh", "mm", "fm", "Z8", "Q", "j4", "Xct", "plt", "ult", "clt", "ST", "a_", "Qr", "jx", "K6", "dm", "hm", "Rt", "gm", "ph", "xm", "Yu", "ze", "au", "Vs", "su", "X6", "Wj", "q6", "hr", "Se", "zt", "bm", "zn", "qe", "wo", "Xx", "Y6", "lt", "mt", "Bu", "Yx", "Di", "or", "Ke", "Ws", "Zx", "l_", "u_", "c_", "xo", "t_", "B", "Rr", "Wct", "Jx", "lc", "Pt", "wm", "Qx", "Rlt", "Dlt", "Cm", "gr", "lr", "p_", "y", "Gq", "Wq", "ty", "Dx", "blt", "pR", "CA", "Hm", "flt", "hM", "g1e", "gd", "_e", "ry", "Te", "It", "OU", "r0", "PU", "LU", "MU", "zU", "br", "r", "Ut", "e", "BU", "n", "o", "El", "T1", "Plt", "N1", "Ue", "fo", "t", "Pn", "g1", "x1", "Pu", "He", "ho", "Ou", "go", "C1", "S1", "b1", "On", "v1", "Gp", "Vg", "h0", "s", "i", "a", "u", "l", "Ms", "y1", "u4", "w1", "Vp", "I1", "d0", "xt", "c", "p", "m", "f", "d", "iE", "aE", "PE", "OE", "j0", "ME", "LE", "X0", "BE", "zE", "Y0", "GE", "VE", "Z0", "UE", "WE", "J0", "h", "g", "qE", "HE", "Q0", "KE", "XE", "jE", "Gx", "w", "C", "N", "_", "A", "b", "$", "P", "V", "G", "W", "q", "H", "ch", "uSt", "YE", "$K", "DK", "RK", "FK", "OK", "PK", "Ku", "wN", "Zb", "Mk", "WW", "UW", "HW", "qW", "fI", "Bk", "zk", "st", "ee", "je", "ge", "fe", "Ae", "$n", "ar", "qn", "zr", "L", "U", "x", "F", "_u", "X", "dt", "Zc", "Lt", "Yt", "Xt", "Mo", "K", "Z", "et", "rt", "ot", "at", "nt", "Eu", "ft", "gt", "Ct", "$t", "_t", "Gt", "yt", "At", "nr", "Yn", "Wt", "ue", "he", "$e", "Br", "Vr", "Kn", "jn", "Zr", "ea", "si", "Od", "Md", "Er", "ra", "Kk", "Pd", "Nl", "Yc", "na", "gI", "mg", "xI", "fg", "Jr", "dg", "yI", "bI", "kg", "EI", "jt", "sa", "jk", "Xk", "hg", "wI", "Qv", "CI", "Ld", "II", "gg", "xg", "Tl", "vI", "bg", "yg", "SI", "Rg", "zd", "NI", "e1", "Fg", "Jc", "TI", "kI", "t1", "_I", "Zk", "AI", "wg", "Cg", "$I", "DI", "RI", "Qk", "FI", "OI", "PI", "Au", "LI", "MI", "Ig", "zI", "Bd", "BI", "VI", "GI", "t0", "Og", "Jk", "Vd", "WI", "JI", "UI", "HI", "qI", "vg", "Sg", "KI", "jI", "Ng", "Tg", "XI", "YI", "Dn", "rp", "o1", "n1", "e0", "FU", "ZI", "Yk", "QI", "tv", "ev", "rv", "nv", "ov", "sv", "iv", "av", "lv", "uv", "cv", "pv", "mv", "fv", "dv", "hv", "gv", "xv", "yv", "bv", "wv", "Cv", "Iv", "vv", "Sv", "Nv", "Tv", "kv", "Ev", "_v", "Av", "$v", "Dv", "Rv", "Fv", "Ov", "Pv", "Lv", "Mv", "zv", "Bv", "Vv", "Gv", "Wv", "Uv", "Hv", "qv", "Kv", "jv", "Eg", "_g", "Gd", "Xv", "Yv", "Qc", "Ag", "tp", "ep", "Zv", "j", "ct", "Dt", "ce", "Xe", "Ye", "ne", "re", "yr", "Xn", "oa", "$g", "Wd", "Jv", "nn", "kl", "Dg", "rU", "nU", "oU", "sU", "iU", "aU", "lU", "uU", "cU", "pU", "mU", "fU", "dU", "hU", "gU", "xU", "yU", "bU", "wU", "CU", "IU", "vU", "SU", "NU", "TU", "kU", "EU", "_U", "AU", "$U", "DU", "Pg", "r1", "Lg", "Mg", "RU", "jW", "g8e", "KW", "XW", "dI", "Gk", "Vk", "Rn", "s1", "zg", "VU", "np", "GU", "WU", "UU", "HU", "E", "Re", "Fn", "Zn", "Jt", "qU", "aa", "KU", "jU", "XU", "Du", "YU", "ZU", "pr", "n0", "o0", "s0", "i0", "a0", "JU", "op", "l0", "Bo", "i1", "a1", "sp", "ii", "ip", "ai", "l1", "$u", "QU", "Ud", "ap", "t4", "Le", "e4", "r4", "Ru", "u1", "o4", "i4", "s4", "c1", "c0", "p0", "a4", "qd", "Ti", "l4", "Bp", "Yd", "f0", "h4", "Up", "Kl", "x4", "d4", "zs", "Jd", "mr", "zu", "Wp", "x0", "Mu", "E1", "Lu", "on", "g0", "_1", "Me", "k1", "_r", "ql", "c4", "Gg", "p4", "m4", "f4", "g4", "Wg", "y0", "y4", "A1", "$1", "D1", "Qd", "b0", "R1", "b4", "Ug", "eh", "th", "F1", "Bs", "Hp", "w4", "O1", "P1", "L1", "O", "N0", "rh", "I4", "Ht", "C0", "I0", "v0", "S0", "C4", "M1", "v4", "T0", "Hg", "jl", "k", "S4", "N4", "k0", "_0", "E4", "k4", "T4", "E0", "eo", "Gr", "B1", "z1", "v", "Ya", "_4", "sn", "nh", "qg", "G1", "A4", "Kg", "F4", "$0", "V1", "W1", "U1", "qp", "D0", "jg", "R0", "Kp", "ki", "Xg", "$4", "D4", "R4", "Ie", "H1", "q1", "K1", "j1", "F0", "O0", "Vu", "Yl", "X1", "P0", "Ei", "Y1", "O4", "P4", "Yg", "Za", "jp", "Z1", "L4", "M4", "z4", "B4", "J1", "Q1", "V4", "G4", "_i", "tE", "W4", "Zg", "Xp", "Ar", "Jg", "eE", "rE", "nE", "oE", "sE", "L0", "U4", "M0", "z0", "H4", "q4", "K4", "X4", "Y4", "Z4", "J4", "Q4", "tH", "eH", "rH", "nH", "oH", "sH", "iH", "aH", "lH", "uH", "cH", "pH", "mH", "pE", "Wu", "G0", "sh", "fH", "V0", "cE", "Qp", "gH", "xH", "dH", "W0", "ih", "hH", "ro", "$r", "$i", "ve", "yH", "bH", "wH", "CH", "IH", "vH", "SH", "NH", "TH", "kH", "fE", "EH", "_H", "AH", "$H", "DH", "RH", "FH", "OH", "PH", "LH", "MH", "zH", "BH", "VH", "GH", "WH", "em", "UH", "HH", "qH", "bx", "KH", "jH", "XH", "YH", "ZH", "JH", "QH", "tq", "eq", "rq", "Ot", "gE", "xe", "nq", "oq", "sq", "iq", "aq", "lq", "uq", "cq", "U0", "yE", "H0", "bo", "pq", "q0", "lh", "mq", "fq", "dq", "hq", "gq", "xq", "yq", "bq", "bE", "wq", "Cq", "Iq", "vq", "Sq", "Nq", "Tq", "kq", "Eq", "_q", "Aq", "$q", "Dq", "Rq", "Fq", "Oq", "Pq", "Lq", "Mq", "zq", "Rx", "Uq", "Hq", "qq", "Kq", "jq", "Xq", "Yq", "Zq", "Jq", "Qq", "Px", "tK", "eK", "rK", "nK", "oK", "sK", "iK", "aK", "lK", "uK", "cK", "pK", "mK", "fK", "dK", "hK", "gK", "xK", "yK", "bK", "wK", "CK", "IK", "SK", "vK", "NK", "TK", "kK", "EK", "_K", "AK", "qx", "ZE", "WK", "QE", "GK", "MK", "BK", "JE", "zK", "VK", "UK", "Wx", "LK", "tS", "eS", "ju", "Ux", "Hx", "HK", "qK", "KK", "jK", "XK", "YK", "ZK", "JK", "QK", "tj", "ej", "rj", "nj", "oj", "sj", "ij", "aj", "lj", "uj", "cj", "pj", "mj", "fj", "dj", "hj", "gj", "xj", "yj", "bj", "wj", "Cj", "Ij", "vj", "Sj", "Nj", "Tj", "kj", "Ej", "_j", "Aj", "$j", "Dj", "ey", "Rj", "Fj", "Pj", "Lj", "m_", "ny", "rS", "zj", "f_", "Gj", "Uj", "d_", "qj", "Kj", "h_", "g_", "x_", "Xj", "Im", "Zu", "Ju", "Qu", "tc", "Yj", "Zj", "oy", "Jj", "sy", "Qj", "t6", "e6", "y_", "r6", "iy", "n6", "ay", "o6", "b_", "s6", "w_", "i6", "C_", "a6", "I_", "l6", "v_", "Co", "u6", "S_", "N_", "c6", "m6", "p6", "ly", "sS", "uy", "cy", "T_", "f6", "d6", "h6", "k_", "g6", "E_", "x6", "__", "y6", "A_", "b6", "$_", "w6", "py", "C6", "my", "I6", "v6", "D_", "S6", "R_", "N6", "F_", "T6", "O_", "k6", "P_", "L_", "E6", "Ur", "_6", "M_", "A6", "z_", "$6", "B_", "D6", "V_", "R6", "G_", "F6", "W_", "O6", "P6", "U_", "L6", "M6", "H_", "z6", "q_", "B6", "K_", "V6", "j_", "G6", "X_", "W6", "Y_", "U6", "Z_", "H6", "J_", "dh", "Wi", "aS", "Z6", "Q_", "eA", "oA", "sA", "fS", "dy", "fy", "rA", "pS", "iA", "aA", "J6", "Q6", "tX", "tA", "nl", "lS", "eX", "rX", "uS", "cS", "nX", "oX", "hh", "sX", "nA", "gh", "hy", "mS", "lA", "iX", "fX", "pX", "mX", "ac", "cA", "aX", "lX", "uX", "cX", "pA", "hX", "wX", "xX", "yX", "bX", "gX", "hS", "CX", "bA", "gA", "wA", "xA", "yA", "fA", "dS", "dX", "dA", "hA", "IX", "mA", "vX", "MX", "zX", "BX", "VX", "GX", "LX", "yy", "Ui", "xS", "gS", "SX", "jX", "t5", "TX", "HX", "qX", "AX", "NX", "JX", "YX", "XX", "C5", "w5", "KX", "e5", "QX", "$X", "RX", "EX", "DX", "FX", "kX", "OX", "PX", "s5", "i5", "a5", "c5", "m5", "p5", "l5", "u5", "g5", "f5", "d5", "h5", "r5", "WX", "o5", "bS", "UX", "_X", "yS", "ZX", "IA", "vA", "n5", "b5", "y5", "x5", "by", "SA", "NA", "TA", "kA", "EA", "_A", "AA", "$A", "DA", "RA", "FA", "I5", "OA", "PA", "v5", "LA", "MA", "zA", "BA", "VA", "GA", "WA", "UA", "HA", "qA", "KA", "jA", "S5", "XA", "YA", "ZA", "JA", "QA", "t2", "e2", "r2", "n2", "o2", "s2", "i2", "a2", "l2", "u2", "m2", "c2", "p2", "f2", "d2", "h2", "g2", "x2", "y2", "b2", "w2", "C2", "N5", "I2", "v2", "wy", "wS", "S2", "T5", "N2", "T2", "k5", "k2", "E2", "_2", "A2", "$2", "D2", "R2", "F2", "O2", "P2", "L2", "M2", "CS", "z2", "B2", "E5", "_5", "V2", "G2", "W2", "U2", "H2", "q2", "K2", "j2", "X2", "Y2", "Z2", "J2", "Q2", "t$", "e$", "r$", "n$", "o$", "s$", "i$", "IS", "vS", "a$", "l$", "u$", "c$", "p$", "m$", "f$", "d$", "h$", "g$", "x$", "y$", "A5", "b$", "$5", "Nn", "Kr", "z", "vt", "vm", "bh", "vo", "so", "NS", "Tr", "ye", "So", "ol", "Io", "Sm", "SS", "Hi", "D5", "wh", "No", "w$", "qi", "Cy", "Qe", "C$", "I$", "Iy", "R5", "Sy", "vy", "pu", "v$", "S$", "N$", "T$", "k$", "Nm", "Oe", "_$", "mn", "TS", "Ch", "E$", "Hs", "F5", "Ny", "A$", "Ty", "O5", "$$", "To", "uc", "qs", "fn", "kS", "ur", "dn", "tn", "il", "D$", "Ey", "R$", "F$", "sl", "ES", "Ih", "Tm", "AS", "km", "ko", "_S", "_y", "cc", "hn", "O$", "P$", "Ay", "L$", "mu", "M$", "z$", "P5", "L5", "gn", "Em", "fu", "_m", "Am", "$m", "Dm", "Rm", "M5", "jr", "pc", "mc", "fc", "dc", "hc", "gc", "Fm", "B$", "V$", "ke", "de", "$y", "Om", "St", "Bt", "Pm", "W$", "B5", "Sh", "Lm", "V5", "al", "G5", "kt", "W5", "U5", "$S", "Ks", "Dy", "H5", "Eo", "Ry", "Fy", "H$", "xc", "q5", "j5", "U$", "K5", "X5", "Y5", "Q5", "J5", "Z5", "DS", "yc", "Mm", "zm", "Bm", "Vm", "q$", "Be", "K$", "Ve", "r8", "u8", "l8", "c8", "p8", "i8", "m8", "f8", "e8", "d8", "o8", "n8", "s8", "a8", "t8", "pl", "$Y", "BY", "vZ", "VY", "qS", "KS", "jS", "YY", "JY", "tZ", "ZY", "QY", "eZ", "KY", "hZ", "EZ", "TZ", "GY", "IY", "vY", "SY", "NY", "TY", "pZ", "mZ", "EY", "DY", "AY", "qY", "RY", "gY", "zY", "OY", "IZ", "CZ", "rZ", "nZ", "xZ", "yZ", "SD", "ND", "sZ", "iZ", "hY", "jY", "yY", "aZ", "lZ", "SZ", "bZ", "wZ", "TD", "kD", "oZ", "WY", "UY", "HY", "MY", "bY", "xY", "PY", "NZ", "LY", "kZ", "fZ", "kY", "uZ", "cZ", "wY", "FY", "dZ", "CY", "gZ", "_Y", "XY", "Ki", "Oy", "Y$", "h8", "ll", "RS", "zy", "xn", "By", "yn", "Nh", "ji", "Gm", "du", "g8", "x8", "y8", "b8", "w8", "bc", "Wm", "C8", "Um", "I8", "v8", "kh", "Th", "Vy", "Eh", "_h", "J$", "S8", "N8", "FS", "Q$", "Wy", "Uy", "T8", "k8", "E8", "_8", "A8", "$8", "Ah", "D8", "OS", "Gy", "tD", "$h", "rD", "LS", "PS", "nD", "O8", "Hy", "P8", "L8", "F8", "oD", "wc", "qy", "Bn", "M8", "Ky", "jy", "sD", "z8", "lD", "iD", "B8", "uD", "aD", "V8", "G8", "cD", "Xy", "qm", "Yy", "Zy", "MS", "_o", "W8", "zS", "pD", "mD", "U8", "H8", "fD", "q8", "K8", "Jy", "dD", "j8", "X8", "rn", "Qy", "tb", "eb", "rb", "nb", "ob", "sb", "ib", "ab", "lb", "Km", "ub", "cb", "pb", "js", "VS", "Xs", "GS", "mb", "hu", "yD", "bD", "gD", "me", "xD", "we", "jm", "Xm", "Ym", "Zm", "Jm", "Qm", "gu", "Tn", "Ys", "Dh", "WS", "tY", "wD", "eY", "Cc", "xu", "ul", "cl", "tf", "ef", "fb", "rf", "yu", "nf", "of", "rY", "sf", "US", "HS", "Sc", "Ic", "fl", "af", "vc", "lf", "ml", "uf", "nY", "db", "Nc", "cf", "Tc", "pf", "mf", "ff", "df", "hf", "gf", "xf", "yf", "bf", "dl", "wf", "Cf", "If", "vf", "Sf", "Nf", "Rh", "oY", "Tf", "kf", "Ef", "_f", "Fh", "sY", "iY", "aY", "Af", "$f", "lY", "Df", "wb", "CD", "hb", "Rf", "Ff", "gb", "Of", "Pf", "xb", "Lf", "Mf", "yb", "zf", "Bf", "bb", "Vf", "Gf", "Cb", "Wf", "uY", "cY", "Uf", "Hf", "pY", "mY", "qf", "ID", "Kf", "dY", "vD", "jf", "zZ", "GZ", "_Z", "AZ", "DZ", "RZ", "PZ", "BZ", "LZ", "MZ", "VZ", "WZ", "FZ", "OZ", "$Z", "HZ", "UZ", "qZ", "Ib", "DD", "KZ", "XZ", "io", "RD", "XS", "Nb", "I", "Cr", "bn", "Tb", "FD", "Zs", "Oh", "Js", "YS", "QZ", "ZS", "t7", "JS", "e7", "QS", "r7", "tN", "n7", "eN", "o7", "rN", "s7", "nN", "i7", "oN", "a7", "sN", "l7", "iN", "u7", "aN", "c7", "lN", "p7", "uN", "m7", "cN", "f7", "pN", "d7", "mN", "h7", "fN", "g7", "dN", "x7", "Ph", "kb", "Fb", "_b", "Rb", "Eb", "Pb", "Db", "Ob", "Ab", "$b", "OD", "hN", "y7", "PD", "LD", "Lb", "se", "MD", "zD", "Gn", "BD", "Xf", "Mb", "zb", "hl", "VD", "GD", "WD", "UD", "HD", "qD", "KD", "jD", "gN", "XD", "YD", "ZD", "Bb", "JD", "QD", "tR", "eR", "rR", "nR", "oR", "sR", "iR", "aR", "lR", "uR", "xN", "Lh", "yN", "bN", "G7", "W7", "cR", "z7", "B7", "V7", "kc", "Vb", "U7", "H7", "j7", "Jf", "Qs", "nd", "Zf", "od", "CR", "TR", "kR", "ER", "AR", "BN", "_R", "IR", "wR", "xR", "mR", "Gb", "bu", "fR", "CN", "dR", "Wb", "hR", "X7", "gR", "Y7", "Yf", "Ec", "FN", "IN", "zh", "vN", "yR", "Hb", "bR", "gl", "DN", "tr", "AN", "EN", "_N", "Ub", "$N", "kN", "TN", "NN", "qb", "RN", "SN", "_c", "En", "Z7", "J7", "Kb", "Bh", "vR", "jb", "ON", "SR", "Qf", "td", "ed", "Vh", "PN", "LN", "Xb", "MN", "zN", "rd", "NR", "Q7", "Yb", "tt", "tJ", "wu", "mw", "WN", "ad", "Jb", "GN", "UN", "Ac", "HN", "KN", "XN", "YN", "Qb", "tw", "JN", "ZN", "tT", "QN", "ew", "eT", "rw", "rT", "nT", "Gh", "oT", "sT", "iT", "nw", "ow", "sw", "Dc", "aT", "xl", "iF", "VN", "Rc", "iw", "aw", "cd", "uF", "uT", "lw", "Fc", "Oc", "Pc", "pT", "uw", "cw", "ld", "pw", "eJ", "DR", "Qt", "Ir", "RR", "sd", "Xr", "FR", "Ao", "OR", "$o", "PR", "ie", "id", "rJ", "Yi", "LR", "wn", "Et", "Do", "nJ", "MR", "qN", "zR", "jN", "BR", "oJ", "VR", "sJ", "GR", "iJ", "WR", "aJ", "UR", "lJ", "HR", "uJ", "qR", "cJ", "KR", "pJ", "jR", "mJ", "XR", "fJ", "$c", "YR", "dJ", "ZR", "hJ", "JR", "Ge", "QR", "gJ", "tF", "xJ", "yJ", "bJ", "wJ", "eF", "CJ", "IJ", "rF", "Ro", "ud", "oF", "nF", "vJ", "sF", "lT", "aF", "Fo", "lF", "SJ", "cF", "NJ", "pF", "cT", "TJ", "kJ", "Wh", "mF", "Uh", "fF", "mT", "dF", "fT", "hF", "_J", "dT", "gF", "hT", "xF", "gT", "yF", "Lc", "Zt", "bF", "xT", "wF", "AJ", "CF", "$J", "IF", "DJ", "vF", "RJ", "SF", "FJ", "NF", "OJ", "TF", "PJ", "kF", "LJ", "EF", "MJ", "_F", "zJ", "AF", "BJ", "$F", "VJ", "GJ", "DF", "WJ", "RF", "pd", "fw", "dw", "FF", "UJ", "OF", "HJ", "PF", "qJ", "LF", "KJ", "MF", "jJ", "zF", "XJ", "BF", "YJ", "VF", "ZJ", "GF", "JJ", "WF", "QJ", "UF", "Zi", "HF", "Cu", "qF", "yT", "KF", "tQ", "jF", "eQ", "XF", "rQ", "YF", "nQ", "ZF", "oQ", "JF", "sQ", "QF", "iQ", "tO", "aQ", "eO", "lQ", "rO", "uQ", "nO", "cQ", "oO", "pQ", "sO", "bT", "iO", "mQ", "aO", "fQ", "lO", "dQ", "uO", "cO", "pO", "mO", "yl", "fO", "hQ", "dO", "gQ", "hO", "xQ", "yQ", "bQ", "wQ", "CQ", "IQ", "vQ", "gO", "md", "xO", "SQ", "Hh", "qh", "hw", "NQ", "TQ", "wT", "kQ", "EQ", "yO", "Kh", "_Q", "bO", "wO", "AQ", "$Q", "CO", "DQ", "IO", "RQ", "vO", "FQ", "SO", "OQ", "NO", "PQ", "TO", "LQ", "kO", "MQ", "EO", "zQ", "_O", "BQ", "AO", "VQ", "$O", "GQ", "WQ", "DO", "UQ", "RO", "HQ", "qQ", "FO", "KQ", "OO", "jQ", "PO", "CT", "LO", "XQ", "MO", "YQ", "zO", "ZQ", "BO", "JQ", "VO", "GO", "WO", "QQ", "UO", "t9", "HO", "e9", "qO", "r9", "n9", "KO", "XO", "IT", "jO", "o9", "YO", "s9", "i9", "ZO", "a9", "l9", "JO", "u9", "c9", "QO", "p9", "tP", "jh", "eP", "rP", "nP", "vT", "oP", "m9", "gw", "f9", "d9", "sP", "h9", "iP", "g9", "aP", "x9", "lP", "y9", "uP", "b9", "cP", "w9", "pP", "C9", "mP", "I9", "fP", "v9", "dP", "S9", "hP", "gP", "N9", "xP", "T9", "yP", "k9", "E9", "bP", "_9", "wP", "A9", "CP", "$9", "D9", "R9", "IP", "F9", "vP", "O9", "SP", "P9", "NP", "L9", "TP", "M9", "kP", "z9", "EP", "B9", "_P", "V9", "AP", "G9", "$P", "W9", "DP", "U9", "RP", "H9", "FP", "OP", "q9", "PP", "K9", "LP", "j9", "MP", "X9", "zP", "Y9", "BP", "Z9", "VP", "J9", "GP", "Q9", "WP", "ttt", "UP", "ett", "HP", "itt", "att", "qP", "rtt", "ntt", "stt", "ott", "Xh", "ltt", "KP", "utt", "jP", "ctt", "XP", "ptt", "ti", "wtt", "Qh", "zT", "QP", "Iw", "ht", "kT", "_T", "PT", "AT", "RT", "DT", "FT", "ET", "wl", "fd", "tL", "GT", "ytt", "MT", "LT", "Cl", "hd", "BT", "WT", "JP", "VT", "Un", "UT", "HT", "vu", "qT", "Sw", "$T", "Cw", "Ctt", "Itt", "vw", "btt", "dd", "Jh", "OT", "Mc", "xw", "Wn", "ftt", "mtt", "Iu", "Yr", "Lr", "zc", "YP", "Yh", "Ji", "ZP", "Zh", "dtt", "htt", "gtt", "bl", "xtt", "eL", "yw", "bw", "ww", "TT", "vtt", "Tt", "We", "ei", "Bc", "Stt", "rL", "xd", "yd", "Nw", "nL", "oL", "Tw", "Ntt", "Ett", "$tt", "Ttt", "Att", "ktt", "_tt", "Ott", "wd", "Ktt", "Xtt", "Ztt", "Qtt", "eet", "ret", "net", "sL", "qtt", "jtt", "Ytt", "Jtt", "tet", "oet", "set", "iL", "Ptt", "Utt", "Mtt", "Btt", "Ltt", "Htt", "ztt", "Vtt", "Gtt", "Wtt", "Dtt", "Rtt", "Ftt", "Vc", "Cd", "Id", "vd", "Vt", "lL", "KT", "aL", "uL", "cL", "Ce", "kw", "Ew", "_w", "Aw", "uet", "tg", "$w", "rk", "sk", "JT", "ek", "ZT", "YT", "tk", "QT", "XT", "jT", "ak", "ik", "uk", "lk", "Rw", "Pw", "Dw", "Ow", "Fw", "nk", "ok", "eg", "cet", "pL", "Lw", "mL", "fL", "dL", "hL", "gL", "xL", "yL", "bL", "wL", "CL", "IL", "vL", "SL", "NL", "TL", "kL", "EL", "_L", "AL", "$L", "DL", "RL", "FL", "OL", "PL", "LL", "ML", "zL", "BL", "VL", "Mw", "GL", "WL", "UL", "zw", "HL", "qL", "KL", "jL", "XL", "YL", "ZL", "JL", "Wc", "QL", "pk", "er", "tM", "Bw", "Sd", "pet", "Vw", "rM", "nM", "eM", "met", "fet", "det", "Mr", "xr", "oM", "mk", "sM", "iM", "aM", "Qi", "lM", "cM", "pM", "mM", "fM", "dM", "_n", "Gw", "get", "xet", "yet", "Ww", "bet", "wet", "Cet", "Iet", "vet", "Nd", "ao", "ta", "Oo", "rr", "xM", "An", "yM", "fk", "dk", "Net", "bM", "hk", "gk", "Tet", "wM", "Po", "wt", "ae", "Il", "Td", "xk", "rg", "CM", "ng", "IM", "vM", "it", "SM", "og", "Uw", "Eet", "Hn", "Hw", "_et", "qw", "Nu", "NM", "Uc", "TM", "Pe", "kM", "yk", "Hc", "Aet", "EM", "_M", "$et", "AM", "Det", "Ret", "$M", "Fet", "Oet", "DM", "RM", "Pet", "FM", "Kw", "jw", "Xw", "OM", "Let", "PM", "Met", "LM", "Yw", "Zw", "MM", "zM", "Jw", "zet", "BM", "Bet", "VM", "Vet", "Get", "GM", "Wet", "Uet", "WM", "Het", "qet", "UM", "Ket", "jet", "Xet", "HM", "Yet", "Zet", "qM", "ri", "Tu", "Jet", "KM", "Qet", "jM", "Qw", "tC", "trt", "XM", "ert", "YM", "rrt", "ZM", "eC", "rC", "nrt", "JM", "nC", "ort", "bk", "oC", "srt", "ni", "QM", "irt", "tz", "art", "ez", "lrt", "rz", "urt", "wk", "nz", "vl", "oz", "crt", "sz", "Ck", "iz", "az", "prt", "lz", "sC", "iC", "mrt", "uz", "aC", "cz", "frt", "pz", "lC", "cC", "uC", "qc", "mz", "kd", "drt", "Ik", "fz", "Ed", "pC", "_d", "mC", "fC", "dC", "hC", "hrt", "dz", "gC", "xC", "yC", "bC", "grt", "hz", "xrt", "gz", "yrt", "xz", "brt", "yz", "wrt", "bz", "Crt", "Irt", "wz", "vrt", "Srt", "Cz", "wC", "Nrt", "Iz", "Kc", "sg", "vz", "Sz", "CC", "Trt", "Nz", "krt", "Tz", "Ert", "kz", "IC", "_rt", "Ez", "Ad", "$d", "Art", "_z", "vC", "SC", "$rt", "Az", "Drt", "$z", "NC", "Rrt", "Dz", "TC", "Frt", "Rz", "Ort", "Fz", "Prt", "Lrt", "Mrt", "Oz", "zrt", "Brt", "Vrt", "Pz", "Grt", "Wrt", "Urt", "Lz", "Hrt", "qrt", "Mz", "Krt", "jrt", "vk", "zz", "kC", "Bz", "Vz", "Xrt", "Gz", "ig", "EC", "Yrt", "Wz", "_C", "Sl", "Uz", "AC", "Hz", "qz", "Zrt", "Kz", "Jrt", "Qrt", "tnt", "jz", "$C", "DC", "Xz", "ent", "Dd", "Sk", "rnt", "Yz", "nnt", "Zz", "RC", "ont", "Jz", "FC", "snt", "Nk", "Qz", "int", "ant", "lnt", "t3", "unt", "cnt", "pnt", "e3", "mnt", "r3", "fnt", "dnt", "n3", "hnt", "gnt", "o3", "xnt", "ynt", "s3", "bnt", "wnt", "Cnt", "i3", "Int", "vnt", "Snt", "a3", "Nnt", "l3", "Tnt", "knt", "Ent", "u3", "_nt", "Ant", "c3", "$nt", "Dnt", "Rnt", "p3", "Fnt", "Ont", "m3", "Pnt", "Lnt", "Mnt", "f3", "OC", "PC", "znt", "d3", "LC", "Bnt", "h3", "g3", "Tk", "x3", "Vnt", "Gnt", "Wnt", "y3", "Unt", "b3", "Hnt", "w3", "MC", "zC", "qnt", "C3", "Knt", "I3", "v3", "S3", "N3", "T3", "jnt", "k3", "Xnt", "Ynt", "Znt", "E3", "BC", "VC", "Jnt", "_3", "Qnt", "tot", "eot", "A3", "GC", "rot", "not", "kk", "$3", "D3", "Ek", "R3", "_k", "F3", "oot", "O3", "sot", "iot", "aot", "P3", "lot", "uot", "L3", "cot", "pot", "M3", "mot", "fot", "z3", "WC", "dot", "B3", "ag", "V3", "G3", "W3", "hot", "U3", "UC", "HC", "Ak", "H3", "got", "xot", "yot", "q3", "bot", "K3", "wot", "j3", "Cot", "X3", "Iot", "Y3", "$k", "Z3", "vot", "Sot", "J3", "Not", "Tot", "kot", "Q3", "Eot", "_ot", "Aot", "tB", "qC", "KC", "$ot", "eB", "jC", "Dot", "rB", "XC", "YC", "Rot", "nB", "ZC", "Fot", "oB", "JC", "QC", "Oot", "sB", "tI", "iB", "Pot", "Lot", "aB", "Mot", "zot", "lB", "Rd", "Bot", "uB", "eI", "Vot", "cB", "rI", "Got", "pB", "Wot", "Uot", "mB", "Hot", "qot", "Kot", "fB", "jot", "Xot", "dB", "Yot", "Zot", "hB", "Jot", "Qot", "gB", "tst", "est", "xB", "rst", "yB", "nst", "bB", "ost", "wB", "sst", "CB", "ist", "IB", "ast", "vB", "lst", "SB", "NB", "ust", "TB", "cst", "pst", "kB", "EB", "mst", "_B", "fst", "AB", "nI", "dst", "$B", "hst", "DB", "gst", "RB", "xst", "FB", "yst", "bst", "OB", "wst", "Cst", "PB", "oI", "Ist", "Dk", "LB", "sI", "iI", "jc", "MB", "vst", "zB", "aI", "Sst", "BB", "Nst", "VB", "Tst", "GB", "lI", "kst", "WB", "Est", "Kt", "ku", "UB", "_st", "Ast", "HB", "te", "qB", "le", "$st", "KB", "jB", "Dst", "Rst", "XB", "Xc", "YB", "ZB", "Fst", "lo", "Pst", "Ost", "JB", "Cn", "QB", "Lst", "Mst", "tV", "eV", "zst", "Bst", "rV", "nV", "Vst", "Gst", "oV", "sV", "Wst", "Ust", "iV", "cr", "aV", "lV", "Hst", "qst", "uV", "Lo", "Kst", "jst", "Xst", "cV", "Yst", "pV", "oi", "mV", "fV", "dV", "Zst", "Jst", "hV", "Rk", "gV", "xV", "Qst", "tit", "yV", "bV", "eit", "rit", "wV", "CV", "IV", "Fk", "vV", "nit", "oit", "SV", "NV", "sit", "iit", "TV", "kV", "ait", "lit", "EV", "_V", "uit", "cit", "AV", "$V", "pit", "mit", "DV", "RV", "fit", "FV", "OV", "uI", "PV", "Ok", "LV", "MV", "dit", "hit", "zV", "BV", "git", "VV", "GV", "xit", "yit", "WV", "UV", "bit", "wit", "HV", "qV", "Cit", "Iit", "KV", "jV", "vit", "Sit", "XV", "YV", "Nit", "Tit", "ZV", "kit", "JV", "Eit", "QV", "tG", "eG", "_it", "Ait", "rG", "$it", "nG", "Dit", "oG", "sG", "Rit", "iG", "aG", "Fit", "lG", "Oit", "uG", "cG", "Pit", "Lit", "pG", "Mit", "mG", "fG", "zit", "Bit", "dG", "hG", "Vit", "Git", "gG", "xG", "Wit", "Uit", "yG", "Hit", "bG", "Pk", "wG", "qit", "Kit", "CG", "jit", "IG", "vG", "Fd", "SG", "Xit", "Yit", "NG", "TG", "Zit", "Jit", "kG", "EG", "Qit", "tat", "_G", "eat", "AG", "$G", "rat", "nat", "DG", "oat", "RG", "sat", "FG", "OG", "iat", "aat", "cI", "lat", "PG", "LG", "uat", "cat", "MG", "zG", "pat", "mat", "BG", "fat", "VG", "dat", "GG", "WG", "UG", "HG", "qG", "hat", "gat", "KG", "jG", "xat", "yat", "XG", "YG", "bat", "wat", "ZG", "JG", "Cat", "Iat", "QG", "tW", "eW", "rW", "vat", "Sat", "nW", "oW", "Nat", "Tat", "sW", "iW", "kat", "Eat", "aW", "lW", "uW", "_at", "Aat", "cW", "$at", "pW", "mW", "Dat", "Rat", "fW", "dW", "Fat", "Oat", "hW", "gW", "pI", "mI", "Pat", "xW", "Lat", "yW", "Mat", "bW", "wW", "CW", "zat", "IW", "vW", "Bat", "Vat", "SW", "NW", "Gat", "Wat", "TW", "Uat", "kW", "Hat", "EW", "qat", "_W", "Kat", "AW", "$W", "jat", "Xat", "DW", "RW", "FW", "OW", "Yat", "Zat", "PW", "LW", "Jat", "Qat", "MW", "zW", "tlt", "elt", "BW", "rlt", "VW", "nlt", "GW", "olt", "Lk", "Uk", "JW", "Hk", "YW", "slt", "tU", "Wk", "alt", "ilt", "ZW", "hI", "ug", "QW", "lg", "qk", "cg", "llt", "dlt", "eU", "hlt", "glt", "xlt", "ylt", "draw_exports", "__export", "AnchorPosition", "DrawBox", "DrawBoxOptions", "DrawFaceLandmarks", "DrawFaceLandmarksOptions", "DrawTextField", "DrawTextFieldOptions", "drawContour", "drawDetections", "drawFaceExpressions", "drawFaceLandmarks", "drawContour", "ctx", "points", "isClosed", "x", "y", "prevIdx", "from", "to", "utils_exports", "__export", "computeReshapedDimensions", "getCenterPoint", "isDimensions", "isEven", "isFloat", "isTensor", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isValidNumber", "isValidProbablitiy", "range", "round", "Dimensions", "width", "height", "isValidNumber", "isTensor", "tensor", "dim", "Ft", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isFloat", "num", "isEven", "round", "prec", "f", "isDimensions", "obj", "computeReshapedDimensions", "width", "height", "inputSize", "scale", "Dimensions", "getCenterPoint", "pts", "sum", "pt", "Point", "range", "start", "step", "_", "i", "isValidNumber", "isValidProbablitiy", "Point", "x", "y", "pt", "Box", "rect", "isValidNumber", "box", "callee", "allowNegativeDimensions", "_box", "isBbox", "isRect", "x", "y", "width", "height", "Point", "val", "diff", "s", "scaleX", "isDimensions", "scaleY", "padX", "padY", "imgWidth", "imgHeight", "right", "bottom", "clippedX", "clippedY", "newWidth", "newHeight", "clippedWidth", "clippedHeight", "sx", "sy", "imageHeight", "imageWidth", "w", "h", "dx", "dy", "edx", "edy", "ex", "ey", "region", "BoundingBox", "Box", "left", "top", "right", "bottom", "allowNegativeDimensions", "ObjectDetection", "score", "classScore", "className", "relativeBox", "imageDims", "Dimensions", "Box", "width", "height", "FaceDetection", "ObjectDetection", "score", "relativeBox", "imageDims", "width", "height", "iou", "box1", "box2", "isIOU", "width", "height", "interSection", "minBbox", "pts", "xs", "pt", "ys", "minX", "min", "x", "minY", "y", "maxX", "max", "maxY", "BoundingBox", "nonMaxSuppression", "boxes", "scores", "iouThreshold", "isIOU", "indicesSortedByScore", "score", "boxIndex", "c1", "c2", "c", "pick", "curr", "indices", "outputs", "i", "idx", "currBox", "idxBox", "iou", "_", "j", "normalize", "x", "meanRgb", "B", "r", "g", "b", "avg_r", "yo", "avg_g", "avg_b", "avg_rgb", "oe", "lt", "padToSquare", "imgTensor", "isCenterImage", "B", "height", "width", "dimDiff", "paddingAmount", "paddingAxis", "createPaddingTensor", "paddingAmountLocal", "paddingTensorShape", "yo", "paddingTensorAppend", "remainingPaddingAmount", "tensorsToStack", "t", "J", "oe", "shuffleArray", "inputArray", "array", "i", "j", "x", "sigmoid", "x", "inverseSigmoid", "Rect", "Box", "x", "y", "width", "height", "allowNegativeDimensions", "relX", "relY", "relScale", "FaceLandmarks", "relativeFaceLandmarkPositions", "imgDims", "shift", "Point", "width", "height", "Dimensions", "pt", "x", "y", "detection", "options", "box", "FaceDetection", "Box", "useDlibAlignment", "minBoxPadding", "centers", "leftEyeCenter", "rightEyeCenter", "mouthCenter", "distToMouth", "eyeToMouthDist", "size", "refPoint", "getCenterPoint", "Rect", "padding", "minBbox", "FaceLandmarks5", "FaceLandmarks", "pts", "getCenterPoint", "FaceLandmarks68", "FaceLandmarks", "getCenterPoint", "FaceMatch", "label", "distance", "withDistance", "round", "LabeledBox", "Box", "box", "label", "callee", "isValidNumber", "LabeledFaceDescriptors", "label", "descriptors", "desc", "d", "json", "PredictedBox", "LabeledBox", "box", "label", "score", "classScore", "callee", "isValidProbablitiy", "isWithFaceDetection", "obj", "FaceDetection", "extendWithFaceDetection", "sourceObj", "detection", "createBrowserEnv", "fetch", "isNodejs", "createFileSystem", "fs", "requireFsError", "isNodejs", "err", "filePath", "resolve", "reject", "buffer", "createNodejsEnv", "Canvas", "Image", "Video", "createCanvasElement", "createImageElement", "createVideoElement", "fetch", "fileSystem", "createFileSystem", "isBrowser", "environment", "getEnv", "setEnv", "env", "initialize", "isBrowser", "createBrowserEnv", "isNodejs", "createNodejsEnv", "monkeyPatch", "Canvas", "Image", "createFileSystem", "resolveInput", "arg", "env", "getContext2dOrThrow", "canvasArg", "Canvas", "CanvasRenderingContext2D", "env", "canvas", "resolveInput", "ctx", "AnchorPosition", "DrawTextFieldOptions", "options", "anchorPosition", "backgroundColor", "fontColor", "fontSize", "fontStyle", "padding", "DrawTextField", "text", "anchor", "ctx", "l", "w0", "w1", "canvasDims", "isShiftLeft", "isShiftTop", "textFieldWidth", "textFieldHeight", "x", "y", "width", "height", "newX", "newY", "canvasArg", "canvas", "resolveInput", "getContext2dOrThrow", "maxTextWidth", "textHeight", "upperLeft", "textLine", "i", "DrawBoxOptions", "options", "boxColor", "lineWidth", "label", "drawLabelOptions", "defaultDrawLabelOptions", "DrawTextFieldOptions", "DrawBox", "box", "Box", "canvasArg", "ctx", "getContext2dOrThrow", "x", "y", "width", "height", "DrawTextField", "drawDetections", "canvasArg", "detections", "det", "score", "FaceDetection", "isWithFaceDetection", "box", "Box", "label", "round", "DrawBox", "isMediaLoaded", "media", "Image", "Video", "env", "awaitMediaLoaded", "media", "resolve", "reject", "env", "isMediaLoaded", "onError", "e", "onLoad", "bufferToImage", "buf", "resolve", "reject", "reader", "img", "env", "getMediaDimensions", "input", "Image", "Video", "env", "Dimensions", "createCanvas", "width", "height", "createCanvasElement", "env", "canvas", "createCanvasFromMedia", "media", "dims", "ImageData", "isMediaLoaded", "getMediaDimensions", "getContext2dOrThrow", "imageTensorToCanvas", "imgTensor", "canvas", "targetCanvas", "env", "height", "width", "numChannels", "isTensor4D", "imgTensor3D", "B", "gy", "isMediaElement", "input", "Image", "Canvas", "Video", "env", "imageToSquare", "input", "inputSize", "centerImage", "Image", "Canvas", "env", "createCanvas", "dims", "getMediaDimensions", "scale", "width", "height", "targetCanvas", "inputCanvas", "createCanvasFromMedia", "offset", "dx", "dy", "getContext2dOrThrow", "NetInput", "inputs", "treatAsBatchInput", "input", "idx", "isTensor3D", "isTensor4D", "batchSize", "canvas", "env", "createCanvasFromMedia", "range", "_", "batchIdx", "width", "height", "computeReshapedDimensions", "inputSize", "isCenterInputs", "B", "inputTensors", "Ft", "imgTensor", "ir", "padToSquare", "oo", "gy", "imageToSquare", "qe", "t", "J", "toNetInput", "inputs", "NetInput", "inputArgArray", "getIdxHint", "idx", "inputArray", "resolveInput", "input", "i", "isMediaElement", "isTensor3D", "isTensor4D", "batchSize", "awaitMediaLoaded", "extractFaces", "input", "detections", "Canvas", "env", "canvas", "netInput", "toNetInput", "tensorOrCanvas", "imageTensorToCanvas", "ctx", "getContext2dOrThrow", "det", "FaceDetection", "box", "x", "y", "width", "height", "faceImg", "createCanvas", "extractFaceTensors", "imageTensor", "detections", "isTensor3D", "isTensor4D", "B", "imgHeight", "imgWidth", "numChannels", "det", "FaceDetection", "box", "x", "y", "width", "height", "xm", "fetchOrThrow", "url", "init", "fetch", "env", "res", "fetchImage", "uri", "res", "fetchOrThrow", "blob", "bufferToImage", "fetchJson", "uri", "fetchOrThrow", "fetchNetWeights", "uri", "fetchOrThrow", "bufferToVideo", "buf", "resolve", "reject", "video", "env", "fetchVideo", "uri", "res", "fetchOrThrow", "blob", "bufferToVideo", "getModelUris", "uri", "defaultModelName", "defaultManifestFilename", "protocol", "parts", "s", "manifestFile", "modelBaseUri", "loadWeightMap", "uri", "defaultModelName", "manifestUri", "modelBaseUri", "getModelUris", "manifest", "fetchJson", "Pr", "matchDimensions", "input", "reference", "useMediaDimensions", "width", "height", "getMediaDimensions", "NeuralNetwork", "name", "paramPath", "obj", "objProp", "tensor", "param", "Xa", "path", "variable", "or", "throwOnRedispose", "flat", "arr", "weightsOrUrl", "uri", "weightMap", "loadWeightMap", "filePath", "readFile", "env", "manifestUri", "modelBaseUri", "getModelUris", "fetchWeightsFromDisk", "filePaths", "fp", "buf", "loadWeights", "Pr", "manifest", "paramMappings", "params", "weights", "result", "res", "Ft", "depthwiseSeparableConv", "x", "params", "stride", "B", "out", "fm", "Y", "denseBlock3", "x", "denseBlockParams", "isFirstLayer", "B", "out1", "Or", "Y", "vn", "depthwiseSeparableConv", "out2", "in3", "out3", "denseBlock4", "isScaleDown", "in4", "out4", "convLayer", "x", "params", "padding", "withRelu", "B", "out", "Y", "vn", "Or", "disposeUnusedWeightTensors", "weightMap", "paramMappings", "path", "pm", "extractConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "filterSize", "mappedPrefix", "filters", "l_", "bias", "Ke", "extractFCParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "fc_weights", "Ws", "fc_bias", "Ke", "SeparableConvParams", "depthwise_filter", "pointwise_filter", "bias", "extractSeparableConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "depthwise_filter", "l_", "pointwise_filter", "bias", "Ke", "SeparableConvParams", "loadSeparableConvParamsFactory", "extractWeightEntry", "prefix", "extractWeightEntryFactory", "weightMap", "paramMappings", "originalPath", "paramRank", "mappedPath", "tensor", "isTensor", "extractWeightsFactory", "weights", "remainingWeights", "extractWeights", "numWeights", "ret", "getRemainingWeights", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractDenseBlock3Params", "channelsIn", "channelsOut", "mappedPrefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock4Params", "extractorsFactory", "dense0", "dense1", "dense2", "dense3", "loadConvParamsFactory", "extractWeightEntry", "prefix", "filters", "bias", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractDenseBlock3Params", "prefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractDenseBlock4Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "FaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock4", "Zl", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "fullyConnectedLayer", "x", "params", "B", "Y", "Mt", "extractParams", "weights", "channelsIn", "channelsOut", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "fc", "extractFCParamsFactory", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "seperateWeightMaps", "weightMap", "featureExtractorMap", "classifierMap", "key", "map", "FaceProcessor", "NeuralNetwork", "_name", "faceFeatureExtractor", "input", "params", "B", "bottleneckFeatures", "NetInput", "fullyConnectedLayer", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "cIn", "cOut", "classifierWeightSize", "featureExtractorWeights", "classifierWeights", "FACE_EXPRESSION_LABELS", "FaceExpressions", "probabilities", "expression", "idx", "e0", "e1", "FaceExpressionNet", "FaceProcessor", "faceFeatureExtractor", "FaceFeatureExtractor", "input", "B", "au", "toNetInput", "netInput", "out", "probabilitesByBatch", "gr", "t", "data", "predictionsByBatch", "probabilites", "FaceExpressions", "isWithFaceExpressions", "obj", "FaceExpressions", "extendWithFaceExpressions", "sourceObj", "expressions", "drawFaceExpressions", "canvasArg", "faceExpressions", "minConfidence", "textFieldAnchor", "e", "expr", "FaceExpressions", "isWithFaceExpressions", "resultsToDisplay", "exprLocal", "anchor", "isWithFaceDetection", "Point", "DrawTextField", "round", "isWithFaceLandmarks", "obj", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "calculateFaceAngle", "mesh", "degrees", "radians", "calcLengthBetweenTwoPoints", "a", "b", "angle", "calcYaw", "leftPoint", "midPoint", "rightPoint", "leftToMidpoint", "rightToMidpoint", "calcRoll", "lever", "pivot", "hypotenuse", "opposite", "angleInRadians", "angleInDegrees", "normalizeAngle", "tiltDirection", "calcPitch", "base", "baseCoords", "midToBaseLength", "direction", "pt", "extendWithFaceLandmarks", "sourceObj", "unshiftedLandmarks", "shift", "landmarks", "rect", "imageDims", "alignedRect", "DrawFaceLandmarksOptions", "options", "drawLines", "drawPoints", "lineWidth", "lineColor", "pointSize", "pointColor", "DrawFaceLandmarks", "faceLandmarks", "canvasArg", "ctx", "getContext2dOrThrow", "FaceLandmarks68", "drawContour", "drawPoint", "pt", "drawFaceLandmarks", "f", "landmarks", "FaceLandmarks", "isWithFaceLandmarks", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractReductionBlockParams", "channelsIn", "channelsOut", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "channels", "separable_conv2", "extractParams", "weights", "numMainBlocks", "getRemainingWeights", "extractWeightsFactory", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractReductionBlockParams", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "separable_conv2", "extractParamsFromWeightMap", "numMainBlocks", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "disposeUnusedWeightTensors", "conv", "x", "params", "stride", "Y", "vn", "reductionBlock", "isActivateInput", "out", "Or", "depthwiseSeparableConv", "ou", "mainBlock", "TinyXception", "NeuralNetwork", "numMainBlocks", "input", "B", "batchTensor", "J", "normalized", "normalize", "range", "idx", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractFCParams", "extractFCParamsFactory", "age", "gender", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "Gender", "AgeGenderNet", "NeuralNetwork", "faceFeatureExtractor", "TinyXception", "input", "params", "B", "bottleneckFeatures", "NetInput", "pooled", "Zl", "age", "fullyConnectedLayer", "gender", "au", "toNetInput", "netInput", "out", "ages", "gr", "genders", "ageAndGenderTensors", "ageTensor", "i", "predictionsByBatch", "genderTensor", "probMale", "isMale", "genderProbability", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "featureExtractorWeights", "classifierWeights", "FaceLandmark68NetBase", "FaceProcessor", "output", "inputSize", "originalDimensions", "inputDimensions", "width", "height", "scale", "batchSize", "B", "createInterleavedTensor", "fillX", "fillY", "qe", "yo", "getPadding", "batchIdx", "cond", "getPaddingX", "w", "getPaddingY", "_", "input", "out", "toNetInput", "netInput", "landmarkTensors", "gr", "landmarksForBatch", "landmarkTensor", "landmarksArray", "xCoords", "i", "isEven", "yCoords", "FaceLandmarks68", "Point", "t", "FaceLandmark68Net", "FaceLandmark68NetBase", "faceFeatureExtractor", "FaceFeatureExtractor", "extractParamsFromWeightMapTiny", "weightMap", "paramMappings", "extractDenseBlock3Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "extractParamsTiny", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock3Params", "extractorsFactory", "dense0", "dense1", "dense2", "TinyFaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock3", "Zl", "toNetInput", "weightMap", "extractParamsFromWeightMapTiny", "weights", "extractParamsTiny", "FaceLandmark68TinyNet", "FaceLandmark68NetBase", "faceFeatureExtractor", "TinyFaceFeatureExtractor", "FaceLandmarkNet", "FaceLandmark68Net", "scale", "x", "params", "Y", "D", "convLayer", "x", "params", "strides", "withRelu", "padding", "filters", "bias", "out", "vn", "Y", "scale", "Or", "conv", "convNoRelu", "convDown", "extractorsFactory", "extractWeights", "paramMappings", "extractFilterValues", "numFilterValues", "numFilters", "filterSize", "weights", "depth", "isFloat", "B", "Pt", "l_", "extractConvParams", "mappedPrefix", "filters", "bias", "Ke", "extractScaleLayerParams", "numWeights", "biases", "extractConvLayerParams", "conv", "scale", "extractResidualLayerParams", "isDown", "conv1", "conv2", "extractParams", "getRemainingWeights", "extractWeightsFactory", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "Ws", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractScaleLayerParams", "prefix", "weights", "biases", "extractConvLayerParams", "filters", "bias", "scale", "extractResidualLayerParams", "extractParamsFromWeightMap", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "isTensor2D", "params", "disposeUnusedWeightTensors", "residual", "x", "params", "out", "conv", "convNoRelu", "Y", "Or", "residualDown", "convDown", "pooled", "Zl", "zeros", "Te", "isPad", "padShapeX", "zerosW", "oe", "padShapeY", "zerosH", "FaceRecognitionNet", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "convDown", "ou", "residual", "residualDown", "globalAvg", "Mt", "toNetInput", "_a", "dim", "netInput", "faceDescriptorTensors", "gr", "faceDescriptorsForBatch", "t", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createFaceRecognitionNet", "weights", "net", "FaceRecognitionNet", "extendWithFaceDescriptor", "sourceObj", "descriptor", "isWithAge", "obj", "extendWithAge", "sourceObj", "age", "isWithGender", "obj", "isValidProbablitiy", "extendWithGender", "sourceObj", "gender", "genderProbability", "extractorsFactory", "extractWeights", "paramMappings", "extractDepthwiseConvParams", "numChannels", "mappedPrefix", "filters", "l_", "batch_norm_scale", "Ke", "batch_norm_offset", "batch_norm_mean", "batch_norm_variance", "extractConvParams", "channelsIn", "channelsOut", "filterSize", "isPointwiseConv", "bias", "extractPointwiseConvParams", "extractConvPairParams", "depthwise_conv", "pointwise_conv", "extractMobilenetV1Params", "conv_0", "conv_1", "conv_2", "conv_3", "conv_4", "conv_5", "conv_6", "conv_7", "conv_8", "conv_9", "conv_10", "conv_11", "conv_12", "conv_13", "extractPredictionLayerParams", "box_encoding_0_predictor", "class_predictor_0", "box_encoding_1_predictor", "class_predictor_1", "box_encoding_2_predictor", "class_predictor_2", "box_encoding_3_predictor", "class_predictor_3", "box_encoding_4_predictor", "class_predictor_4", "box_encoding_5_predictor", "class_predictor_5", "extractParams", "weights", "getRemainingWeights", "extractWeightsFactory", "mobilenetv1", "prediction_layer", "output_layer", "Zx", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractPointwiseConvParams", "prefix", "idx", "mappedPrefix", "filters", "batch_norm_offset", "extractConvPairParams", "prefixDepthwiseConv", "mappedPrefixDepthwiseConv", "mappedPrefixPointwiseConv", "batch_norm_scale", "batch_norm_mean", "batch_norm_variance", "extractMobilenetV1Params", "extractConvParams", "bias", "extractBoxPredictorParams", "box_encoding_predictor", "class_predictor", "extractPredictionLayerParams", "extractParamsFromWeightMap", "extra_dim", "isTensor3D", "params", "disposeUnusedWeightTensors", "pointwiseConvLayer", "x", "params", "strides", "B", "out", "vn", "Y", "vr", "epsilon", "depthwiseConvLayer", "x", "params", "strides", "B", "out", "Oi", "Ri", "vr", "getStridesForLayerIdx", "layerIdx", "idx", "mobileNetV1", "conv11", "pointwiseConvLayer", "param", "depthwiseConvStrides", "IOU", "boxes", "i", "j", "boxesData", "yminI", "xminI", "ymaxI", "xmaxI", "yminJ", "xminJ", "ymaxJ", "xmaxJ", "areaI", "areaJ", "intersectionYmin", "intersectionXmin", "intersectionYmax", "intersectionXmax", "intersectionArea", "nonMaxSuppression", "scores", "maxOutputSize", "iouThreshold", "scoreThreshold", "numBoxes", "outputSize", "candidates", "score", "boxIndex", "c", "c1", "c2", "suppressFunc", "x", "selected", "originalScore", "iou", "getCenterCoordinatesAndSizesLayer", "x", "vec", "gr", "Pt", "sizes", "lt", "centers", "Y", "ut", "decodeBoxesLayer", "x0", "x1", "div0_out", "D", "sr", "add0_out", "div1_out", "add1_out", "qe", "outputLayer", "boxPredictions", "classPredictions", "params", "B", "batchSize", "boxes", "R", "Rr", "scoresAndClasses", "Qr", "Rt", "scores", "boxesByBatch", "scoresByBatch", "boxPredictionLayer", "x", "params", "B", "batchSize", "boxPredictionEncoding", "R", "convLayer", "classPrediction", "predictionLayer", "x", "conv11", "params", "B", "conv0", "pointwiseConvLayer", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "boxPrediction0", "boxPredictionLayer", "boxPrediction1", "boxPrediction2", "boxPrediction3", "boxPrediction4", "boxPrediction5", "boxPredictions", "oe", "classPredictions", "SsdMobilenetv1Options", "minConfidence", "maxResults", "SsdMobilenetv1", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "x", "lt", "ut", "features", "mobileNetV1", "boxPredictions", "classPredictions", "predictionLayer", "outputLayer", "toNetInput", "options", "maxResults", "minConfidence", "SsdMobilenetv1Options", "netInput", "_boxes", "_scores", "boxes", "scores", "i", "scoresData", "indices", "nonMaxSuppression", "reshapedDims", "inputSize", "padX", "padY", "boxesData", "results", "idx", "top", "bottom", "val", "left", "right", "FaceDetection", "Rect", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createSsdMobilenetv1", "weights", "net", "SsdMobilenetv1", "createFaceDetectionNet", "FaceDetectionNet", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "DEFAULT_MODEL_NAME", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "isNumber", "arg", "validateConfig", "config", "c", "a", "leaky", "x", "B", "min", "D", "pt", "Y", "Or", "lt", "convWithBatchNorm", "x", "params", "B", "out", "pn", "vn", "lt", "D", "Y", "leaky", "depthwiseSeparableConv", "x", "params", "B", "out", "pn", "fm", "Y", "leaky", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractBatchNormParams", "size", "mappedPrefix", "sub", "Ke", "truediv", "extractConvWithBatchNormParams", "channelsIn", "channelsOut", "conv", "bn", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractParams", "weights", "config", "boxEncodingSize", "filterSizes", "getRemainingWeights", "extractWeightsFactory", "params", "s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "conv0", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "conv8", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractBatchNormParams", "prefix", "sub", "truediv", "extractConvParams", "filters", "bias", "extractConvWithBatchNormParams", "conv", "bn", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractParamsFromWeightMap", "config", "params", "numFilters", "disposeUnusedWeightTensors", "TinyYolov2Options", "inputSize", "scoreThreshold", "_TinyYolov2Base", "NeuralNetwork", "config", "validateConfig", "x", "params", "out", "convWithBatchNorm", "ou", "convLayer", "leaky", "depthwiseSeparableConv", "input", "inputSize", "B", "batchTensor", "J", "normalize", "toNetInput", "forwardParams", "scoreThreshold", "TinyYolov2Options", "netInput", "out0", "gr", "inputDimensions", "results", "boxes", "res", "scores", "classScores", "classNames", "nonMaxSuppression", "box", "idx", "ObjectDetection", "weightMap", "extractParamsFromWeightMap", "weights", "filterSizes", "numFilters", "extractParams", "outputTensor", "inputBlobDimensions", "width", "height", "correctionFactorX", "correctionFactorY", "numCells", "numBoxes", "boxesTensor", "scoresTensor", "classScoresTensor", "reshaped", "au", "pt", "scoresData", "boxesData", "row", "col", "anchor", "score", "sigmoid", "ctX", "ctY", "widthLocal", "heightLocal", "y", "pos", "classScore", "label", "BoundingBox", "classesTensor", "classesData", "_", "i", "max", "curr", "TinyYolov2Base", "TinyYolov2", "TinyYolov2Base", "withSeparableConvs", "config", "IOU_THRESHOLD", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "BOX_ANCHORS", "input", "forwardParams", "det", "FaceDetection", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "DEFAULT_MODEL_NAME", "weightMap", "createTinyYolov2", "weights", "withSeparableConvs", "net", "TinyYolov2", "TinyFaceDetectorOptions", "TinyYolov2Options", "ComposableTask", "onfulfilled", "extractAllFacesAndComputeResults", "parentResults", "input", "computeResults", "extractedFaces", "getRectForAlignment", "alignedRect", "faceBoxes", "parentResult", "isWithFaceLandmarks", "faces", "Ft", "extractFaceTensors", "extractFaces", "results", "f", "extractSingleFaceAndComputeResult", "computeResult", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "MEAN_RGB", "TinyFaceDetector", "TinyYolov2Base", "config", "IOU_THRESHOLD", "BOX_ANCHORS", "MEAN_RGB", "input", "forwardParams", "det", "FaceDetection", "weightMap", "nets", "SsdMobilenetv1", "TinyFaceDetector", "TinyYolov2", "FaceLandmark68Net", "FaceLandmark68TinyNet", "FaceRecognitionNet", "FaceExpressionNet", "AgeGenderNet", "ssdMobilenetv1", "input", "options", "tinyFaceDetector", "tinyYolov2", "detectFaceLandmarks", "detectFaceLandmarksTiny", "computeFaceDescriptor", "recognizeFaceExpressions", "predictAgeAndGender", "loadSsdMobilenetv1Model", "url", "loadTinyFaceDetectorModel", "loadTinyYolov2Model", "loadFaceLandmarkModel", "loadFaceLandmarkTinyModel", "loadFaceRecognitionModel", "loadFaceExpressionModel", "loadAgeGenderModel", "loadFaceDetectionModel", "locateFaces", "detectLandmarks", "PredictFaceExpressionsTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllFaceExpressionsTask", "parentResults", "faceExpressionsByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "extendWithFaceExpressions", "PredictAllAgeAndGenderTask", "PredictSingleFaceExpressionsTask", "faceExpressions", "extractSingleFaceAndComputeResult", "PredictSingleAgeAndGenderTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "PredictAgeAndGenderTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllAgeAndGenderTask", "parentResults", "ageAndGenderByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "age", "gender", "genderProbability", "extendWithAge", "extendWithGender", "PredictAllFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "ComputeFaceDescriptorsTaskBase", "ComposableTask", "parentTask", "input", "ComputeAllFaceDescriptorsTask", "parentResults", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "descriptor", "i", "extendWithFaceDescriptor", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "DetectFaceLandmarksTaskBase", "ComposableTask", "parentTask", "input", "useTinyLandmarkNet", "nets", "DetectAllFaceLandmarksTask", "parentResults", "detections", "res", "faces", "Ft", "extractFaceTensors", "extractFaces", "faceLandmarksByFace", "face", "f", "_parentResult", "i", "parentResult", "extendWithFaceLandmarks", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "DetectSingleFaceLandmarksTask", "detection", "landmarks", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "DetectFacesTaskBase", "ComposableTask", "input", "options", "SsdMobilenetv1Options", "DetectAllFacesTask", "result", "TinyFaceDetectorOptions", "nets", "TinyYolov2Options", "resolve", "reject", "detections", "detection", "extendWithFaceDetection", "err", "useTinyLandmarkNet", "DetectAllFaceLandmarksTask", "PredictAllFaceExpressionsTask", "PredictAllAgeAndGenderTask", "DetectSingleFaceTask", "faceDetections", "faceDetectionWithHighestScore", "faceDetection", "DetectSingleFaceLandmarksTask", "PredictSingleFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "detectSingleFace", "input", "options", "SsdMobilenetv1Options", "DetectSingleFaceTask", "detectAllFaces", "DetectAllFacesTask", "allFacesSsdMobilenetv1", "input", "minConfidence", "detectAllFaces", "SsdMobilenetv1Options", "allFacesTinyYolov2", "forwardParams", "TinyYolov2Options", "allFaces", "euclideanDistance", "arr1", "arr2", "desc1", "desc2", "val", "i", "res", "diff", "FaceMatcher", "inputs", "distanceThreshold", "inputArray", "count", "createUniqueLabel", "desc", "LabeledFaceDescriptors", "queryDescriptor", "descriptors", "d", "euclideanDistance", "d1", "d2", "label", "FaceMatch", "best", "curr", "bestMatch", "ld", "json", "labeledDescriptors", "createTinyFaceDetector", "weights", "net", "TinyFaceDetector", "resizeResults", "results", "dimensions", "width", "height", "Dimensions", "obj", "isWithFaceLandmarks", "resizedDetection", "resizedLandmarks", "extendWithFaceLandmarks", "extendWithFaceDetection", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "version"] + "sources": ["tfjs.esm.js", "../src/draw/index.ts", "../src/draw/drawContour.ts", "../src/utils/index.ts", "../src/classes/Dimensions.ts", "../src/classes/Point.ts", "../src/classes/Box.ts", "../src/classes/BoundingBox.ts", "../src/classes/ObjectDetection.ts", "../src/classes/FaceDetection.ts", "../src/ops/iou.ts", "../src/ops/minBbox.ts", "../src/ops/nonMaxSuppression.ts", "../src/ops/normalize.ts", "../src/ops/padToSquare.ts", "../src/ops/shuffleArray.ts", "../src/ops/index.ts", "../src/classes/Rect.ts", "../src/classes/FaceLandmarks.ts", "../src/classes/FaceLandmarks5.ts", "../src/classes/FaceLandmarks68.ts", "../src/classes/FaceMatch.ts", "../src/classes/LabeledBox.ts", "../src/classes/LabeledFaceDescriptors.ts", "../src/classes/PredictedBox.ts", "../src/factories/WithFaceDetection.ts", "../src/env/createBrowserEnv.ts", "../src/env/isNodejs.ts", "../src/env/createFileSystem.ts", "../src/env/createNodejsEnv.ts", "../src/env/isBrowser.ts", "../src/env/index.ts", "../src/dom/resolveInput.ts", "../src/dom/getContext2dOrThrow.ts", "../src/draw/DrawTextField.ts", "../src/draw/DrawBox.ts", "../src/draw/drawDetections.ts", "../src/dom/isMediaLoaded.ts", "../src/dom/awaitMediaLoaded.ts", "../src/dom/bufferToImage.ts", "../src/dom/getMediaDimensions.ts", "../src/dom/createCanvas.ts", "../src/dom/imageTensorToCanvas.ts", "../src/dom/isMediaElement.ts", "../src/dom/imageToSquare.ts", "../src/dom/NetInput.ts", "../src/dom/toNetInput.ts", "../src/dom/extractFaces.ts", "../src/dom/extractFaceTensors.ts", "../src/dom/fetchOrThrow.ts", "../src/dom/fetchImage.ts", "../src/dom/fetchJson.ts", "../src/dom/fetchNetWeights.ts", "../src/dom/bufferToVideo.ts", "../src/dom/fetchVideo.ts", "../src/common/getModelUris.ts", "../src/dom/loadWeightMap.ts", "../src/dom/matchDimensions.ts", "../src/NeuralNetwork.ts", "../src/common/depthwiseSeparableConv.ts", "../src/faceFeatureExtractor/denseBlock.ts", "../src/common/convLayer.ts", "../src/common/disposeUnusedWeightTensors.ts", "../src/common/extractConvParamsFactory.ts", "../src/common/extractFCParamsFactory.ts", "../src/common/types.ts", "../src/common/extractSeparableConvParamsFactory.ts", "../src/common/extractWeightEntryFactory.ts", "../src/common/extractWeightsFactory.ts", "../src/faceFeatureExtractor/extractorsFactory.ts", "../src/faceFeatureExtractor/extractParams.ts", "../src/common/loadConvParamsFactory.ts", "../src/faceFeatureExtractor/loadParamsFactory.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMap.ts", "../src/faceFeatureExtractor/FaceFeatureExtractor.ts", "../src/common/fullyConnectedLayer.ts", "../src/faceProcessor/extractParams.ts", "../src/faceProcessor/extractParamsFromWeightMap.ts", "../src/faceProcessor/util.ts", "../src/faceProcessor/FaceProcessor.ts", "../src/faceExpressionNet/FaceExpressions.ts", "../src/faceExpressionNet/FaceExpressionNet.ts", "../src/factories/WithFaceExpressions.ts", "../src/draw/drawFaceExpressions.ts", "../src/factories/WithFaceLandmarks.ts", "../src/draw/DrawFaceLandmarks.ts", "../package.json", "../src/xception/extractParams.ts", "../src/xception/extractParamsFromWeightMap.ts", "../src/xception/TinyXception.ts", "../src/ageGenderNet/extractParams.ts", "../src/ageGenderNet/extractParamsFromWeightMap.ts", "../src/ageGenderNet/types.ts", "../src/ageGenderNet/AgeGenderNet.ts", "../src/faceLandmarkNet/FaceLandmark68NetBase.ts", "../src/faceLandmarkNet/FaceLandmark68Net.ts", "../src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts", "../src/faceFeatureExtractor/extractParamsTiny.ts", "../src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts", "../src/faceLandmarkNet/FaceLandmark68TinyNet.ts", "../src/faceLandmarkNet/index.ts", "../src/faceRecognitionNet/scaleLayer.ts", "../src/faceRecognitionNet/convLayer.ts", "../src/faceRecognitionNet/extractParams.ts", "../src/faceRecognitionNet/extractParamsFromWeightMap.ts", "../src/faceRecognitionNet/residualLayer.ts", "../src/faceRecognitionNet/FaceRecognitionNet.ts", "../src/faceRecognitionNet/index.ts", "../src/factories/WithFaceDescriptor.ts", "../src/factories/WithAge.ts", "../src/factories/WithGender.ts", "../src/ssdMobilenetv1/extractParams.ts", "../src/ssdMobilenetv1/extractParamsFromWeightMap.ts", "../src/ssdMobilenetv1/pointwiseConvLayer.ts", "../src/ssdMobilenetv1/mobileNetV1.ts", "../src/ssdMobilenetv1/nonMaxSuppression.ts", "../src/ssdMobilenetv1/outputLayer.ts", "../src/ssdMobilenetv1/boxPredictionLayer.ts", "../src/ssdMobilenetv1/predictionLayer.ts", "../src/ssdMobilenetv1/SsdMobilenetv1Options.ts", "../src/ssdMobilenetv1/SsdMobilenetv1.ts", "../src/ssdMobilenetv1/index.ts", "../src/tinyYolov2/const.ts", "../src/tinyYolov2/config.ts", "../src/tinyYolov2/leaky.ts", "../src/tinyYolov2/convWithBatchNorm.ts", "../src/tinyYolov2/depthwiseSeparableConv.ts", "../src/tinyYolov2/extractParams.ts", "../src/tinyYolov2/extractParamsFromWeightMap.ts", "../src/tinyYolov2/TinyYolov2Options.ts", "../src/tinyYolov2/TinyYolov2Base.ts", "../src/tinyYolov2/TinyYolov2.ts", "../src/tinyYolov2/index.ts", "../src/tinyFaceDetector/TinyFaceDetectorOptions.ts", "../src/globalApi/ComposableTask.ts", "../src/globalApi/extractFacesAndComputeResults.ts", "../src/tinyFaceDetector/const.ts", "../src/tinyFaceDetector/TinyFaceDetector.ts", "../src/globalApi/nets.ts", "../src/globalApi/PredictFaceExpressionsTask.ts", "../src/globalApi/PredictAgeAndGenderTask.ts", "../src/globalApi/ComputeFaceDescriptorsTasks.ts", "../src/globalApi/DetectFaceLandmarksTasks.ts", "../src/globalApi/DetectFacesTasks.ts", "../src/globalApi/detectFaces.ts", "../src/globalApi/allFaces.ts", "../src/euclideanDistance.ts", "../src/globalApi/FaceMatcher.ts", "../src/tinyFaceDetector/index.ts", "../src/resizeResults.ts", "../src/index.ts"], + "sourcesContent": ["/*\n Face-API\n homepage: \n author: '\n*/\n\nvar OU=Object.create;var r0=Object.defineProperty;var PU=Object.getOwnPropertyDescriptor;var LU=Object.getOwnPropertyNames;var MU=Object.getPrototypeOf,zU=Object.prototype.hasOwnProperty;var br=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Ut=(r,t)=>{for(var e in t)r0(r,e,{get:t[e],enumerable:!0})},BU=(r,t,e,n)=>{if(t&&typeof t==\"object\"||typeof t==\"function\")for(let o of LU(t))!zU.call(r,o)&&o!==e&&r0(r,o,{get:()=>t[o],enumerable:!(n=PU(t,o))||n.enumerable});return r};var El=(r,t,e)=>(e=r!=null?OU(MU(r)):{},BU(t||!r||!r.__esModule?r0(e,\"default\",{value:r,enumerable:!0}):e,r));var T1=br((Plt,N1)=>{N1.exports=Ue;var fo=null;try{fo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,\"__isLong__\",{value:!0});function Pn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Pn;var g1={},x1={};function Pu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=Pu;function ho(r,t){if(isNaN(r))return t?Ou:go;if(t){if(r<0)return Ou;if(r>=C1)return S1}else{if(r<=-b1)return On;if(r+1>=b1)return v1}return r<0?ho(-r,t).neg():He(r%Gp|0,r/Gp|0,t)}Ue.fromNumber=ho;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Vg=Math.pow;function h0(r,t,e){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return go;if(typeof t==\"number\"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error(\"interior hyphen\");if(n===0)return h0(r.substring(1),t,e).neg();for(var o=ho(Vg(e,8)),s=go,i=0;i>>0:this.low};xt.toNumber=function(){return this.unsigned?(this.high>>>0)*Gp+(this.low>>>0):this.high*Gp+(this.low>>>0)};xt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c=\"0\"+c;a=\"\"+c+a}};xt.getHighBits=function(){return this.high};xt.getHighBitsUnsigned=function(){return this.high>>>0};xt.getLowBits=function(){return this.low};xt.getLowBitsUnsigned=function(){return this.low>>>0};xt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(On)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&!(t&1<=0};xt.isOdd=function(){return(this.low&1)===1};xt.isEven=function(){return(this.low&1)===0};xt.equals=function(t){return Pn(t)||(t=Ms(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};xt.eq=xt.equals;xt.notEquals=function(t){return!this.eq(t)};xt.neq=xt.notEquals;xt.ne=xt.notEquals;xt.lessThan=function(t){return this.comp(t)<0};xt.lt=xt.lessThan;xt.lessThanOrEqual=function(t){return this.comp(t)<=0};xt.lte=xt.lessThanOrEqual;xt.le=xt.lessThanOrEqual;xt.greaterThan=function(t){return this.comp(t)>0};xt.gt=xt.greaterThan;xt.greaterThanOrEqual=function(t){return this.comp(t)>=0};xt.gte=xt.greaterThanOrEqual;xt.ge=xt.greaterThanOrEqual;xt.compare=function(t){if(Pn(t)||(t=Ms(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};xt.comp=xt.compare;xt.negate=function(){return!this.unsigned&&this.eq(On)?On:this.not().add(Vp)};xt.neg=xt.negate;xt.add=function(t){Pn(t)||(t=Ms(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};xt.subtract=function(t){return Pn(t)||(t=Ms(t)),this.add(t.neg())};xt.sub=xt.subtract;xt.multiply=function(t){if(this.isZero())return go;if(Pn(t)||(t=Ms(t)),fo){var e=fo.mul(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(t.isZero())return go;if(this.eq(On))return t.isOdd()?On:go;if(t.eq(On))return this.isOdd()?On:go;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return ho(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};xt.mul=xt.multiply;xt.divide=function(t){if(Pn(t)||(t=Ms(t)),t.isZero())throw Error(\"division by zero\");if(fo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?fo.div_u:fo.div_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ou:go;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Ou;if(t.gt(this.shru(1)))return I1;s=Ou}else{if(this.eq(On)){if(t.eq(Vp)||t.eq(d0))return On;if(t.eq(On))return Vp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(go)?t.isNegative()?Vp:d0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(On))return this.unsigned?Ou:go;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=go}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Vg(2,a-48),l=ho(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=ho(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Vp),s=s.add(l),o=o.sub(c)}return s};xt.div=xt.divide;xt.modulo=function(t){if(Pn(t)||(t=Ms(t)),fo){var e=(this.unsigned?fo.rem_u:fo.rem_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};xt.mod=xt.modulo;xt.rem=xt.modulo;xt.not=function(){return He(~this.low,~this.high,this.unsigned)};xt.and=function(t){return Pn(t)||(t=Ms(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};xt.or=function(t){return Pn(t)||(t=Ms(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};xt.xor=function(t){return Pn(t)||(t=Ms(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};xt.shiftLeft=function(t){return Pn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};xt.shr=xt.shiftRight;xt.shiftRightUnsigned=function(t){if(Pn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};xt.shru=xt.shiftRightUnsigned;xt.shr_u=xt.shiftRightUnsigned;xt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};xt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};xt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};xt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};xt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=br(()=>{});var aE=br(()=>{});var PE=br((OE,j0)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(\" \"),u.s1=l(\" \"),u.s2=l(\" \"),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c==\"object\"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(OE,typeof j0==\"object\"&&j0,typeof define==\"function\"&&define)});var ME=br((LE,X0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(LE,typeof X0==\"object\"&&X0,typeof define==\"function\"&&define)});var BE=br((zE,Y0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(zE,typeof Y0==\"object\"&&Y0,typeof define==\"function\"&&define)});var GE=br((VE,Z0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=\"\"+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(VE,typeof Z0==\"object\"&&Z0,typeof define==\"function\"&&define)});var UE=br((WE,J0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(WE,typeof J0==\"object\"&&J0,typeof define==\"function\"&&define)});var qE=br((HE,Q0)=>{(function(r,t,e){function n(i){var a=this,u=\"\";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l==\"object\"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(HE,typeof Q0==\"object\"&&Q0,typeof define==\"function\"&&define)});var KE=br(()=>{});var XE=br((jE,Gx)=>{(function(r,t,e){var n=256,o=6,s=52,i=\"random\",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,\"global\"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var $K=PE(),DK=ME(),RK=BE(),FK=GE(),OK=UE(),PK=qE(),Ku=XE();Ku.alea=$K;Ku.xor128=DK;Ku.xorwow=RK;Ku.xorshift7=FK;Ku.xor4096=OK;Ku.tychei=PK;YE.exports=Ku});var wN=br(()=>{});var Zb=br(()=>{});var Mk=br(()=>{});var WW=br(()=>{});var UW=br(()=>{});var HW=br(()=>{});var qW=br((fI,Bk)=>{var zk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};function e(){return st.buffer!=ee&&je(st.buffer),ge}function n(){return st.buffer!=ee&&je(st.buffer),fe}function o(){return st.buffer!=ee&&je(st.buffer),Ae}function s(){return st.buffer!=ee&&je(st.buffer),$n}function i(){return st.buffer!=ee&&je(st.buffer),ar}function a(){return st.buffer!=ee&&je(st.buffer),qn}function u(){return st.buffer!=ee&&je(st.buffer),zr}var l=typeof t!=\"undefined\"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var f=Object.assign({},l),d=[],h=\"./this.program\",g=(L,U)=>{throw U},x=typeof window==\"object\",b=typeof importScripts==\"function\",w=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",C=l.ENVIRONMENT_IS_PTHREAD||!1,N=\"\";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof _u)return;X(\"exiting due to exception: \"+L)}if(w){var G=Zb(),W=Mk();b?N=W.dirname(N)+\"/\":N=__dirname+\"/\",A=(U,dt)=>(U=Zc(U)?new URL(U):W.normalize(U),G.readFileSync(U,dt?void 0:\"utf8\")),F=U=>{var dt=A(U,!0);return dt.buffer||(dt=new Uint8Array(dt)),dt},$=(U,dt,Lt)=>{U=Zc(U)?new URL(U):W.normalize(U),G.readFile(U,function(Yt,Xt){Yt?Lt(Yt):dt(Xt.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),d=process.argv.slice(2),process.on(\"uncaughtException\",function(U){if(!(U instanceof _u))throw U}),process.on(\"unhandledRejection\",function(U){throw U}),g=(U,dt)=>{if(Mo())throw process.exitCode=U,dt;V(dt),process.exit(U)},l.inspect=function(){return\"[Emscripten Module object]\"};let L;try{L=WW()}catch(U){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(N=document.currentScript.src),typeof r!=\"undefined\"&&r&&(N=r),N.indexOf(\"blob:\")!==0?N=N.substr(0,N.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):N=\"\",w||(A=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open(\"GET\",L,!1),U.responseType=\"arraybuffer\",U.send(null),new Uint8Array(U.response)}),$=(L,U,dt)=>{var Lt=new XMLHttpRequest;Lt.open(\"GET\",L,!0),Lt.responseType=\"arraybuffer\",Lt.onload=()=>{if(Lt.status==200||Lt.status==0&&Lt.response){U(Lt.response);return}dt()},Lt.onerror=dt,Lt.send(null)}),P=L=>document.title=L);w&&typeof performance==\"undefined\"&&(global.performance=UW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+`\n`),H=L=>G.writeSync(2,L+`\n`));var K=l.print||q,X=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Eu(\"no native wasm support detected\");var st,ft,gt=!1,Ct;function $t(L,U){L||Eu(U)}var _t=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Gt(L,U,dt){for(var Lt=U+dt,Yt=U;L[Yt]&&!(Yt>=Lt);)++Yt;if(Yt-U>16&&L.buffer&&_t)return _t.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,Yt):L.subarray(U,Yt));for(var Xt=\"\";U>10,56320|Yn&1023)}}return Xt}function Wt(L,U){return L?Gt(n(),L,U):\"\"}function ue(L,U,dt,Lt){if(!(Lt>0))return 0;for(var Yt=dt,Xt=dt+Lt-1,yt=0;yt=55296&&At<=57343){var nr=L.charCodeAt(++yt);At=65536+((At&1023)<<10)|nr&1023}if(At<=127){if(dt>=Xt)break;U[dt++]=At}else if(At<=2047){if(dt+1>=Xt)break;U[dt++]=192|At>>6,U[dt++]=128|At&63}else if(At<=65535){if(dt+2>=Xt)break;U[dt++]=224|At>>12,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}else{if(dt+3>=Xt)break;U[dt++]=240|At>>18,U[dt++]=128|At>>12&63,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}}return U[dt]=0,dt-Yt}function he(L,U,dt){return ue(L,n(),U,dt)}var ee,ge,fe,Ae,$e,$n,ar,qn,zr;C&&(ee=l.buffer);function je(L){ee=L,l.HEAP8=ge=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=$n=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=$e=new Uint16Array(L),l.HEAPU32=ar=new Uint32Array(L),l.HEAPF32=qn=new Float32Array(L),l.HEAPF64=zr=new Float64Array(L)}var Br=l.INITIAL_MEMORY||16777216;if(C)st=l.wasmMemory,ee=l.buffer;else if(l.wasmMemory)st=l.wasmMemory;else if(st=new WebAssembly.Memory({initial:Br/65536,maximum:32768,shared:!0}),!(st.buffer instanceof SharedArrayBuffer))throw X(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),w&&X(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)\"),Error(\"bad memory\");st&&(ee=st.buffer),Br=ee.byteLength,je(ee);var Vr,Kn=[],jn=[],Zr=[],ea=!1;function Mo(){return nt}function si(){if(l.preRun)for(typeof l.preRun==\"function\"&&(l.preRun=[l.preRun]);l.preRun.length;)Od(l.preRun.shift());Md(Kn)}function Er(){ea=!0,!C&&Md(jn)}function ra(){if(!C){if(l.postRun)for(typeof l.postRun==\"function\"&&(l.postRun=[l.postRun]);l.postRun.length;)Kk(l.postRun.shift());Md(Zr)}}function Od(L){Kn.unshift(L)}function Pd(L){jn.unshift(L)}function Kk(L){Zr.unshift(L)}var Nl=0,Yc=null,na=null;function gI(L){Nl++,l.monitorRunDependencies&&l.monitorRunDependencies(Nl)}function mg(L){if(Nl--,l.monitorRunDependencies&&l.monitorRunDependencies(Nl),Nl==0&&(Yc!==null&&(clearInterval(Yc),Yc=null),na)){var U=na;na=null,U()}}function Eu(L){l.onAbort&&l.onAbort(L),L=\"Aborted(\"+L+\")\",X(L),gt=!0,Ct=1,L+=\". Build with -sASSERTIONS for more info.\";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var xI=\"data:application/octet-stream;base64,\";function fg(L){return L.startsWith(xI)}function Zc(L){return L.startsWith(\"file://\")}var Jr;Jr=\"tfjs-backend-wasm-threaded-simd.wasm\",fg(Jr)||(Jr=_(Jr));function dg(L){try{if(L==Jr&&at)return new Uint8Array(at);if(F)return F(L);throw\"both async and sync fetching of the wasm failed\"}catch(U){Eu(U)}}function yI(){if(!at&&(x||b)){if(typeof fetch==\"function\"&&!Zc(Jr))return fetch(Jr,{credentials:\"same-origin\"}).then(function(L){if(!L.ok)throw\"failed to load wasm binary file at '\"+Jr+\"'\";return L.arrayBuffer()}).catch(function(){return dg(Jr)});if($)return new Promise(function(L,U){$(Jr,function(dt){L(new Uint8Array(dt))},U)})}return Promise.resolve().then(function(){return dg(Jr)})}function bI(){var L={env:kg,wasi_snapshot_preview1:kg};function U(yt,At){var nr=yt.exports;if(l.asm=nr,EI(l.asm._emscripten_tls_init),Vr=l.asm.__indirect_function_table,Pd(l.asm.__wasm_call_ctors),ft=At,!C){var Yn=jt.unusedWorkers.length;jt.unusedWorkers.forEach(function(sa){jt.loadWasmModuleToWorker(sa,function(){--Yn||mg(\"wasm-instantiate\")})})}}C||gI(\"wasm-instantiate\");function dt(yt){U(yt.instance,yt.module)}function Lt(yt){return yI().then(function(At){return WebAssembly.instantiate(At,L)}).then(function(At){return At}).then(yt,function(At){X(\"failed to asynchronously prepare wasm: \"+At),Eu(At)})}function Yt(){return!at&&typeof WebAssembly.instantiateStreaming==\"function\"&&!fg(Jr)&&!Zc(Jr)&&!w&&typeof fetch==\"function\"?fetch(Jr,{credentials:\"same-origin\"}).then(function(yt){var At=WebAssembly.instantiateStreaming(yt,L);return At.then(dt,function(nr){return X(\"wasm streaming compile failed: \"+nr),X(\"falling back to ArrayBuffer instantiation\"),Lt(dt)})}):Lt(dt)}if(l.instantiateWasm)try{var Xt=l.instantiateWasm(L,U);return Xt}catch(yt){X(\"Module.instantiateWasm callback failed with error: \"+yt),p(yt)}return Yt().catch(p),{}}var jk,Xk,hg={};function _u(L){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+L+\")\",this.status=L}function wI(L){var U=jt.pthreads[L];delete jt.pthreads[L],U.terminate(),Qv(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function CI(L){var U=jt.pthreads[L];U.postMessage({cmd:\"cancel\"})}function Ld(L){var U=jt.pthreads[L];$t(U),jt.returnWorkerToPool(U)}function II(L){var U=jt.getNewWorker();if(!U)return 6;jt.runningWorkers.push(U),jt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var dt={cmd:\"run\",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{w&&U.ref(),U.postMessage(dt,L.transferList),delete U.runPthread},U.loaded&&U.runPthread(),0}var gg={varargs:void 0,get:function(){gg.varargs+=4;var L=s()[gg.varargs-4>>2];return L},getStr:function(L){var U=Wt(L);return U}};function xg(L){if(C)return Tl(1,1,L);Ct=L,Mo()||(jt.terminateAllThreads(),l.onExit&&l.onExit(L),gt=!0),g(L,new _u(L))}function vI(L,U){if(Ct=L,!U&&C)throw bg(L),\"unwind\";xg(L)}var yg=vI;function SI(L){if(L instanceof _u||L==\"unwind\")return Ct;g(1,L)}var jt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?jt.initWorker():jt.initMainThread()},initMainThread:function(){for(var L=8;L--;)jt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){Ct=L},terminateAllThreads:function(){for(var L of Object.values(jt.pthreads))jt.returnWorkerToPool(L);for(var L of jt.unusedWorkers)L.terminate();jt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete jt.pthreads[U],jt.unusedWorkers.push(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,w&&L.unref(),Qv(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){jt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=Xt=>{var yt=Xt.data,At=yt.cmd;if(L.pthread_ptr&&(jt.currentProxiedOperationCallerThread=L.pthread_ptr),yt.targetThread&&yt.targetThread!=Rg()){var nr=jt.pthreads[yt.targetThread];nr?nr.postMessage(yt,yt.transferList):X('Internal error! Worker sent a message \"'+At+'\" to target pthread '+yt.targetThread+\", but that thread no longer exists!\"),jt.currentProxiedOperationCallerThread=void 0;return}At===\"processProxyingQueue\"?zd(yt.queue):At===\"spawnThread\"?II(yt):At===\"cleanupThread\"?Ld(yt.thread):At===\"killThread\"?wI(yt.thread):At===\"cancelThread\"?CI(yt.thread):At===\"loaded\"?(L.loaded=!0,w&&L.unref(),U&&U(L),L.runPthread&&L.runPthread()):At===\"print\"?K(\"Thread \"+yt.threadId+\": \"+yt.text):At===\"printErr\"?X(\"Thread \"+yt.threadId+\": \"+yt.text):At===\"alert\"?alert(\"Thread \"+yt.threadId+\": \"+yt.text):yt.target===\"setimmediate\"?L.postMessage(yt):At===\"callHandler\"?l[yt.handler](...yt.args):At&&X(\"worker sent an unknown command \"+At),jt.currentProxiedOperationCallerThread=void 0},L.onerror=Xt=>{var yt=\"worker sent an error!\";throw X(yt+\" \"+Xt.filename+\":\"+Xt.lineno+\": \"+Xt.message),Xt},w&&(L.on(\"message\",function(Xt){L.onmessage({data:Xt})}),L.on(\"error\",function(Xt){L.onerror(Xt)}),L.on(\"detachedExit\",function(){}));var dt=[],Lt=[\"onExit\",\"onAbort\",\"print\",\"printErr\"];for(var Yt of Lt)l.hasOwnProperty(Yt)&&dt.push(Yt);L.postMessage({cmd:\"load\",handlers:dt,urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:st,wasmModule:ft})},allocateUnusedWorker:function(){var L,U=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");L=new Worker(U),jt.unusedWorkers.push(L)},getNewWorker:function(){return jt.unusedWorkers.length==0&&(jt.allocateUnusedWorker(),jt.loadWasmModuleToWorker(jt.unusedWorkers[0])),jt.unusedWorkers.pop()}};l.PThread=jt;function Md(L){for(;L.length>0;)L.shift()(l)}function NI(){var L=Rg(),U=s()[L+52>>2],dt=s()[L+56>>2],Lt=U-dt;e1(U,Lt),Fg(U)}l.establishStackSpace=NI;function bg(L){if(C)return Tl(2,0,L);try{yg(L)}catch(U){SI(U)}}var Jc=[];function TI(L){var U=Jc[L];return U||(L>=Jc.length&&(Jc.length=L+1),Jc[L]=U=Vr.get(L)),U}function kI(L,U){var dt=TI(L)(U);Mo()?jt.setExitStatus(dt):t1(dt)}l.invokeEntryPoint=kI;function EI(L){jt.tlsInitFunctions.push(L)}function _I(L){Zk(L,!b,1,!x),jt.threadInitTLS()}function AI(L){C?postMessage({cmd:\"cleanupThread\",thread:L}):Ld(L)}function wg(L,U,dt,Lt){return C?Tl(3,1,L,U,dt,Lt):Cg(L,U,dt,Lt)}function Cg(L,U,dt,Lt){if(typeof SharedArrayBuffer==\"undefined\")return X(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var Yt=[],Xt=0;if(C&&(Yt.length===0||Xt))return wg(L,U,dt,Lt);if(Xt)return Xt;var yt={startRoutine:dt,pthread_ptr:L,arg:Lt,transferList:Yt};return C?(yt.cmd=\"spawnThread\",postMessage(yt,Yt),0):II(yt)}function $I(){return 65536}var DI=!0;function RI(){return DI}function zd(L){Atomics.store(s(),L>>2,1),Rg()&&Qk(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=zd;function FI(L,U,dt,Lt){if(L==U)setTimeout(()=>zd(Lt));else if(C)postMessage({targetThread:L,cmd:\"processProxyingQueue\",queue:Lt});else{var Yt=jt.pthreads[L];if(!Yt)return;Yt.postMessage({cmd:\"processProxyingQueue\",queue:Lt})}return 1}function OI(L,U,dt){return-1}function PI(){Eu(\"\")}function Au(L){Au.shown||(Au.shown={}),Au.shown[L]||(Au.shown[L]=1,w&&(L=\"warning: \"+L),X(L))}function LI(){w||b||Au(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function MI(){return Date.now()}function Ig(){return 2147483648}function zI(){return Ig()}var Bd;w?Bd=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:Bd=()=>performance.timeOrigin+performance.now();function BI(L,U,dt){n().copyWithin(L,U,U+dt)}function VI(){return w?HW().cpus().length:navigator.hardwareConcurrency}function GI(L){var U=t0(),dt=L();return Fg(U),dt}function Tl(L,U){var dt=arguments.length-2,Lt=arguments;return GI(()=>{for(var Yt=dt,Xt=Og(Yt*8),yt=Xt>>3,At=0;At>3,Yt=0;Yt>>16),je(st.buffer),1}catch(U){}}function HI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var dt=Ig();if(L>dt)return!1;let Lt=(nr,Yn)=>nr+(Yn-nr%Yn)%Yn;for(var Yt=1;Yt<=4;Yt*=2){var Xt=U*(1+.2/Yt);Xt=Math.min(Xt,L+100663296);var yt=Math.min(dt,Lt(Math.max(L,Xt),65536)),At=UI(yt);if(At)return!0}return!1}function qI(){throw\"unwind\"}function vg(L){return C?Tl(4,1,L):52}function Sg(L,U,dt,Lt,Yt){return C?Tl(5,1,L,U,dt,Lt,Yt):70}var KI=[null,[],[]];function jI(L,U){var dt=KI[L];U===0||U===10?((L===1?K:X)(Gt(dt,0)),dt.length=0):dt.push(U)}function Ng(L,U,dt,Lt){if(C)return Tl(6,1,L,U,dt,Lt);for(var Yt=0,Xt=0;Xt>2],At=i()[U+4>>2];U+=8;for(var nr=0;nr>2]=Yt,0}function Tg(L){var U=l[\"_\"+L];return U}function XI(L,U){e().set(L,U)}function YI(L,U,dt,Lt,Yt){var Xt={string:Dn=>{var rp=0;if(Dn!=null&&Dn!==0){var o1=(Dn.length<<2)+1;rp=Og(o1),he(Dn,rp,o1)}return rp},array:Dn=>{var rp=Og(Dn.length);return XI(Dn,rp),rp}};function yt(Dn){return U===\"string\"?Wt(Dn):U===\"boolean\"?Boolean(Dn):Dn}var At=Tg(L),nr=[],Yn=0;if(Lt)for(var sa=0;sayt===\"number\"||yt===\"boolean\"),Xt=U!==\"string\";return Xt&&Yt&&!Lt?Tg(L):function(){return YI(L,U,dt,arguments,Lt)}}jt.init();var JI=[null,xg,bg,wg,vg,Sg,Ng],kg={__emscripten_init_main_thread_js:_I,__emscripten_thread_cleanup:AI,__pthread_create_js:Cg,_emscripten_default_pthread_stack_size:$I,_emscripten_get_now_is_monotonic:RI,_emscripten_notify_task_queue:FI,_emscripten_set_offscreencanvas_size:OI,abort:PI,emscripten_check_blocking_allowed:LI,emscripten_date_now:MI,emscripten_get_heap_max:zI,emscripten_get_now:Bd,emscripten_memcpy_big:BI,emscripten_num_logical_cores:VI,emscripten_receive_on_main_thread_js:WI,emscripten_resize_heap:HI,emscripten_unwind_to_js_event_loop:qI,exit:yg,fd_close:vg,fd_seek:Sg,fd_write:Ng,memory:st||l.wasmMemory},Yk=bI(),QI=l.___wasm_call_ctors=function(){return(QI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},tv=l._init=function(){return(tv=l._init=l.asm.init).apply(null,arguments)},ev=l._init_with_threads_count=function(){return(ev=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},rv=l._get_threads_count=function(){return(rv=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},nv=l._register_tensor=function(){return(nv=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},ov=l._dispose_data=function(){return(ov=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},sv=l._dispose=function(){return(sv=l._dispose=l.asm.dispose).apply(null,arguments)},iv=l._Abs=function(){return(iv=l._Abs=l.asm.Abs).apply(null,arguments)},av=l._Add=function(){return(av=l._Add=l.asm.Add).apply(null,arguments)},lv=l._AddN=function(){return(lv=l._AddN=l.asm.AddN).apply(null,arguments)},uv=l._All=function(){return(uv=l._All=l.asm.All).apply(null,arguments)},cv=l._Any=function(){return(cv=l._Any=l.asm.Any).apply(null,arguments)},pv=l._ArgMax=function(){return(pv=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},mv=l._AvgPool=function(){return(mv=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},fv=l._BatchMatMul=function(){return(fv=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},dv=l._Ceil=function(){return(dv=l._Ceil=l.asm.Ceil).apply(null,arguments)},hv=l._ClipByValue=function(){return(hv=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},gv=l._Conv2D=function(){return(gv=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},xv=l._Conv2DBackpropInput=function(){return(xv=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},yv=l._Cos=function(){return(yv=l._Cos=l.asm.Cos).apply(null,arguments)},bv=l._Cosh=function(){return(bv=l._Cosh=l.asm.Cosh).apply(null,arguments)},wv=l._CropAndResize=function(){return(wv=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},Cv=l._Cumprod=function(){return(Cv=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},Iv=l._Cumsum=function(){return(Iv=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},vv=l._DepthToSpace=function(){return(vv=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},Sv=l._DepthwiseConv2dNative=function(){return(Sv=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},Nv=l._Elu=function(){return(Nv=l._Elu=l.asm.Elu).apply(null,arguments)},Tv=l._Equal=function(){return(Tv=l._Equal=l.asm.Equal).apply(null,arguments)},kv=l._Exp=function(){return(kv=l._Exp=l.asm.Exp).apply(null,arguments)},Ev=l._FlipLeftRight=function(){return(Ev=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},_v=l._Floor=function(){return(_v=l._Floor=l.asm.Floor).apply(null,arguments)},Av=l._FloorDiv=function(){return(Av=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},$v=l._FusedBatchNorm=function(){return($v=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},Dv=l._FusedConv2D=function(){return(Dv=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},Rv=l._FusedDepthwiseConv2D=function(){return(Rv=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},Fv=l._Gather=function(){return(Fv=l._Gather=l.asm.Gather).apply(null,arguments)},Ov=l._GatherNd=function(){return(Ov=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},Pv=l._Greater=function(){return(Pv=l._Greater=l.asm.Greater).apply(null,arguments)},Lv=l._GreaterEqual=function(){return(Lv=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},Mv=l._IsNan=function(){return(Mv=l._IsNan=l.asm.IsNan).apply(null,arguments)},zv=l._LeakyRelu=function(){return(zv=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},Bv=l._Less=function(){return(Bv=l._Less=l.asm.Less).apply(null,arguments)},Vv=l._LessEqual=function(){return(Vv=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},Gv=l._Log=function(){return(Gv=l._Log=l.asm.Log).apply(null,arguments)},Wv=l._LogicalAnd=function(){return(Wv=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},Uv=l._LogicalNot=function(){return(Uv=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},Hv=l._LogicalOr=function(){return(Hv=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},qv=l._LogicalXor=function(){return(qv=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},Kv=l._Max=function(){return(Kv=l._Max=l.asm.Max).apply(null,arguments)},jv=l._MaxPool=function(){return(jv=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Eg=l._Maximum=function(){return(Eg=l._Maximum=l.asm.Maximum).apply(null,arguments)},_g=l._Mean=function(){return(_g=l._Mean=l.asm.Mean).apply(null,arguments)},Gd=l._Min=function(){return(Gd=l._Min=l.asm.Min).apply(null,arguments)},Xv=l._Minimum=function(){return(Xv=l._Minimum=l.asm.Minimum).apply(null,arguments)},Yv=l._MirrorPad=function(){return(Yv=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},Qc=l._Multiply=function(){return(Qc=l._Multiply=l.asm.Multiply).apply(null,arguments)},Ag=l._Neg=function(){return(Ag=l._Neg=l.asm.Neg).apply(null,arguments)},tp=l._NonMaxSuppressionV3=function(){return(tp=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},ep=l._NonMaxSuppressionV4=function(){return(ep=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},Zv=l._NonMaxSuppressionV5=function(){return(Zv=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},j=l._NotEqual=function(){return(j=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},ct=l._OneHot=function(){return(ct=l._OneHot=l.asm.OneHot).apply(null,arguments)},Dt=l._PadV2=function(){return(Dt=l._PadV2=l.asm.PadV2).apply(null,arguments)},ce=l._Pow=function(){return(ce=l._Pow=l.asm.Pow).apply(null,arguments)},Xe=l._Prelu=function(){return(Xe=l._Prelu=l.asm.Prelu).apply(null,arguments)},Ye=l._Prod=function(){return(Ye=l._Prod=l.asm.Prod).apply(null,arguments)},ne=l._RealDiv=function(){return(ne=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},re=l._Reciprocal=function(){return(re=l._Reciprocal=l.asm.Reciprocal).apply(null,arguments)},yr=l._Relu=function(){return(yr=l._Relu=l.asm.Relu).apply(null,arguments)},Xn=l._Relu6=function(){return(Xn=l._Relu6=l.asm.Relu6).apply(null,arguments)},oa=l._ResizeBilinear=function(){return(oa=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},$g=l._ResizeNearestNeighbor=function(){return($g=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Wd=l._Reverse=function(){return(Wd=l._Reverse=l.asm.Reverse).apply(null,arguments)},Jv=l._RotateWithOffset=function(){return(Jv=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},nn=l._Round=function(){return(nn=l._Round=l.asm.Round).apply(null,arguments)},kl=l._Rsqrt=function(){return(kl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},Dg=l._ScatterNd=function(){return(Dg=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},rU=l._SelectV2=function(){return(rU=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},nU=l._Sigmoid=function(){return(nU=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},oU=l._Sin=function(){return(oU=l._Sin=l.asm.Sin).apply(null,arguments)},sU=l._Softmax=function(){return(sU=l._Softmax=l.asm.Softmax).apply(null,arguments)},iU=l._SparseFillEmptyRows=function(){return(iU=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},aU=l._SparseReshape=function(){return(aU=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},lU=l._SparseSegmentReduction=function(){return(lU=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},uU=l._Sqrt=function(){return(uU=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},cU=l._Square=function(){return(cU=l._Square=l.asm.Square).apply(null,arguments)},pU=l._SquaredDifference=function(){return(pU=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},mU=l._Step=function(){return(mU=l._Step=l.asm.Step).apply(null,arguments)},fU=l._StridedSlice=function(){return(fU=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},dU=l._Sub=function(){return(dU=l._Sub=l.asm.Sub).apply(null,arguments)},hU=l._Sum=function(){return(hU=l._Sum=l.asm.Sum).apply(null,arguments)},gU=l._Tan=function(){return(gU=l._Tan=l.asm.Tan).apply(null,arguments)},xU=l._Tanh=function(){return(xU=l._Tanh=l.asm.Tanh).apply(null,arguments)},yU=l._Tile=function(){return(yU=l._Tile=l.asm.Tile).apply(null,arguments)},bU=l._TopK=function(){return(bU=l._TopK=l.asm.TopK).apply(null,arguments)},wU=l._Transform=function(){return(wU=l._Transform=l.asm.Transform).apply(null,arguments)},CU=l._Transpose=function(){return(CU=l._Transpose=l.asm.Transpose).apply(null,arguments)},IU=l.__FusedMatMul=function(){return(IU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},vU=l._malloc=function(){return(vU=l._malloc=l.asm.malloc).apply(null,arguments)},SU=l._free=function(){return(SU=l._free=l.asm.free).apply(null,arguments)},NU=l.__emscripten_tls_init=function(){return(NU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Rg=l._pthread_self=function(){return(Rg=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},TU=l.___errno_location=function(){return(TU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},Zk=l.__emscripten_thread_init=function(){return(Zk=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},kU=l.__emscripten_thread_crashed=function(){return(kU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},EU=l._emscripten_main_thread_process_queued_calls=function(){return(EU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},_U=l._emscripten_main_browser_thread_id=function(){return(_U=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jk=l._emscripten_run_in_main_runtime_thread_js=function(){return(Jk=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},AU=l._emscripten_dispatch_to_thread_=function(){return(AU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Qk=l.__emscripten_proxy_execute_task_queue=function(){return(Qk=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Qv=l.__emscripten_thread_free_data=function(){return(Qv=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},t1=l.__emscripten_thread_exit=function(){return(t1=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},e1=l._emscripten_stack_set_limits=function(){return(e1=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},t0=l.stackSave=function(){return(t0=l.stackSave=l.asm.stackSave).apply(null,arguments)},Fg=l.stackRestore=function(){return(Fg=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Og=l.stackAlloc=function(){return(Og=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},$U=l.dynCall_iijjiiii=function(){return($U=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},DU=l.dynCall_jiji=function(){return(DU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Mo,l.wasmMemory=st,l.cwrap=ZI,l.ExitStatus=_u,l.PThread=jt;var Pg;na=function L(){Pg||r1(),Pg||(na=L)};function r1(L){if(L=L||d,Nl>0)return;if(C){c(l),Er(),startWorker(l);return}if(si(),Nl>0)return;function U(){Pg||(Pg=!0,l.calledRun=!0,!gt&&(Er(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),ra()))}l.setStatus?(l.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){l.setStatus(\"\")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit==\"function\"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();r1();var Lg;m&&(Lg={uncaughtException:process.listeners(\"uncaughtException\").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Mg;if(typeof WasmBackendModule!=\"undefined\")Mg=WasmBackendModule;else if(typeof t!=\"undefined\")Mg=t;else throw new Error(\"Could not find wasm module in post.js\");if(Lg){var RU=Mg._dispose;Mg._dispose=function(){RU(),Lg.uncaughtException.forEach(function(L){process.removeListener(\"uncaughtException\",L)}),Lg.unhandledRejection.forEach(function(L){process.removeListener(\"unhandledRejection\",L)})}}return t.ready}})();typeof fI==\"object\"&&typeof Bk==\"object\"?Bk.exports=zk:typeof define==\"function\"&&define.amd?define([],function(){return zk}):typeof fI==\"object\"&&(fI.WasmBackendModuleThreadedSimd=zk)});var jW=br((g8e,KW)=>{KW.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\")+\"//# sourceURL=\"+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({\"cmd\":\"loaded\"})};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:\"callHandler\",handler:handler,args:[...arguments]})}}Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd===\"run\"){Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var XW=br((dI,Gk)=>{var Vk=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!=\"undefined\"?t:{},n,o;e.ready=new Promise(function(j,ct){n=j,o=ct});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var i=Object.assign({},e),a=[],u=\"./this.program\",l=(j,ct)=>{throw ct},c=typeof window==\"object\",p=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",f=\"\";function d(j){return e.locateFile?e.locateFile(j,f):f+j}var h,g,x,b;function w(j){if(j instanceof Yc)return;A(\"exiting due to exception: \"+j)}if(m){var C=Zb(),N=Mk();p?f=N.dirname(f)+\"/\":f=__dirname+\"/\",h=(j,ct)=>(j=si(j)?new URL(j):N.normalize(j),C.readFileSync(j,ct?void 0:\"utf8\")),x=j=>{var ct=h(j,!0);return ct.buffer||(ct=new Uint8Array(ct)),ct},g=(j,ct,Dt)=>{j=si(j)?new URL(j):N.normalize(j),C.readFile(j,function(ce,Xe){ce?Dt(ce):ct(Xe.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\\\/g,\"/\")),a=process.argv.slice(2),process.on(\"uncaughtException\",function(j){if(!(j instanceof Yc))throw j}),process.on(\"unhandledRejection\",function(j){throw j}),l=(j,ct)=>{if(fe())throw process.exitCode=j,ct;w(ct),process.exit(j)},e.inspect=function(){return\"[Emscripten Module object]\"}}else(c||p)&&(p?f=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf(\"blob:\")!==0?f=f.substr(0,f.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):f=\"\",h=j=>{var ct=new XMLHttpRequest;return ct.open(\"GET\",j,!1),ct.send(null),ct.responseText},p&&(x=j=>{var ct=new XMLHttpRequest;return ct.open(\"GET\",j,!1),ct.responseType=\"arraybuffer\",ct.send(null),new Uint8Array(ct.response)}),g=(j,ct,Dt)=>{var ce=new XMLHttpRequest;ce.open(\"GET\",j,!0),ce.responseType=\"arraybuffer\",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){ct(ce.response);return}Dt()},ce.onerror=Dt,ce.send(null)},b=j=>document.title=j);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Zr(\"no native wasm support detected\");var V,G=!1,W;function q(j,ct){j||Zr(ct)}var H=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function K(j,ct,Dt){for(var ce=ct+Dt,Xe=ct;j[Xe]&&!(Xe>=ce);)++Xe;if(Xe-ct>16&&j.buffer&&H)return H.decode(j.subarray(ct,Xe));for(var Ye=\"\";ct>10,56320|Xn&1023)}}return Ye}function X(j,ct){return j?K(at,j,ct):\"\"}function Z(j,ct,Dt,ce){if(!(ce>0))return 0;for(var Xe=Dt,Ye=Dt+ce-1,ne=0;ne=55296&&re<=57343){var yr=j.charCodeAt(++ne);re=65536+((re&1023)<<10)|yr&1023}if(re<=127){if(Dt>=Ye)break;ct[Dt++]=re}else if(re<=2047){if(Dt+1>=Ye)break;ct[Dt++]=192|re>>6,ct[Dt++]=128|re&63}else if(re<=65535){if(Dt+2>=Ye)break;ct[Dt++]=224|re>>12,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}else{if(Dt+3>=Ye)break;ct[Dt++]=240|re>>18,ct[Dt++]=128|re>>12&63,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}}return ct[Dt]=0,Dt-Xe}function et(j,ct,Dt){return Z(j,at,ct,Dt)}var rt,ot,at,nt,st,ft,gt,Ct,$t;function _t(j){rt=j,e.HEAP8=ot=new Int8Array(j),e.HEAP16=nt=new Int16Array(j),e.HEAP32=ft=new Int32Array(j),e.HEAPU8=at=new Uint8Array(j),e.HEAPU16=st=new Uint16Array(j),e.HEAPU32=gt=new Uint32Array(j),e.HEAPF32=Ct=new Float32Array(j),e.HEAPF64=$t=new Float64Array(j)}var Gt=e.INITIAL_MEMORY||16777216,Wt,ue=[],he=[],ee=[],ge=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun==\"function\"&&(e.preRun=[e.preRun]);e.preRun.length;)ar(e.preRun.shift());na(ue)}function $e(){ge=!0,na(he)}function $n(){if(e.postRun)for(typeof e.postRun==\"function\"&&(e.postRun=[e.postRun]);e.postRun.length;)zr(e.postRun.shift());na(ee)}function ar(j){ue.unshift(j)}function qn(j){he.unshift(j)}function zr(j){ee.unshift(j)}var je=0,Br=null,Vr=null;function Kn(j){je++,e.monitorRunDependencies&&e.monitorRunDependencies(je)}function jn(j){if(je--,e.monitorRunDependencies&&e.monitorRunDependencies(je),je==0&&(Br!==null&&(clearInterval(Br),Br=null),Vr)){var ct=Vr;Vr=null,ct()}}function Zr(j){e.onAbort&&e.onAbort(j),j=\"Aborted(\"+j+\")\",A(j),G=!0,W=1,j+=\". Build with -sASSERTIONS for more info.\";var ct=new WebAssembly.RuntimeError(j);throw o(ct),ct}var ea=\"data:application/octet-stream;base64,\";function Mo(j){return j.startsWith(ea)}function si(j){return j.startsWith(\"file://\")}var Er;Er=\"tfjs-backend-wasm.wasm\",Mo(Er)||(Er=d(Er));function ra(j){try{if(j==Er&&F)return new Uint8Array(F);if(x)return x(j);throw\"both async and sync fetching of the wasm failed\"}catch(ct){Zr(ct)}}function Od(){if(!F&&(c||p)){if(typeof fetch==\"function\"&&!si(Er))return fetch(Er,{credentials:\"same-origin\"}).then(function(j){if(!j.ok)throw\"failed to load wasm binary file at '\"+Er+\"'\";return j.arrayBuffer()}).catch(function(){return ra(Er)});if(g)return new Promise(function(j,ct){g(Er,function(Dt){j(new Uint8Array(Dt))},ct)})}return Promise.resolve().then(function(){return ra(Er)})}function Pd(){var j={env:Ld,wasi_snapshot_preview1:Ld};function ct(ne,re){var yr=ne.exports;e.asm=yr,V=e.asm.memory,_t(V.buffer),Wt=e.asm.__indirect_function_table,qn(e.asm.__wasm_call_ctors),jn(\"wasm-instantiate\")}Kn(\"wasm-instantiate\");function Dt(ne){ct(ne.instance)}function ce(ne){return Od().then(function(re){return WebAssembly.instantiate(re,j)}).then(function(re){return re}).then(ne,function(re){A(\"failed to asynchronously prepare wasm: \"+re),Zr(re)})}function Xe(){return!F&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Mo(Er)&&!si(Er)&&!m&&typeof fetch==\"function\"?fetch(Er,{credentials:\"same-origin\"}).then(function(ne){var re=WebAssembly.instantiateStreaming(ne,j);return re.then(Dt,function(yr){return A(\"wasm streaming compile failed: \"+yr),A(\"falling back to ArrayBuffer instantiation\"),ce(Dt)})}):ce(Dt)}if(e.instantiateWasm)try{var Ye=e.instantiateWasm(j,ct);return Ye}catch(ne){A(\"Module.instantiateWasm callback failed with error: \"+ne),o(ne)}return Xe().catch(o),{}}var Kk,Nl;function Yc(j){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+j+\")\",this.status=j}function na(j){for(;j.length>0;)j.shift()(e)}function gI(){Zr(\"\")}function mg(){return 2147483648}function Eu(){return mg()}function xI(j,ct,Dt){at.copyWithin(j,ct,ct+Dt)}function fg(j){try{return V.grow(j-rt.byteLength+65535>>>16),_t(V.buffer),1}catch(ct){}}function Zc(j){var ct=at.length;j=j>>>0;var Dt=mg();if(j>Dt)return!1;let ce=(yr,Xn)=>yr+(Xn-yr%Xn)%Xn;for(var Xe=1;Xe<=4;Xe*=2){var Ye=ct*(1+.2/Xe);Ye=Math.min(Ye,j+100663296);var ne=Math.min(Dt,ce(Math.max(j,Ye),65536)),re=fg(ne);if(re)return!0}return!1}var Jr={varargs:void 0,get:function(){Jr.varargs+=4;var j=ft[Jr.varargs-4>>2];return j},getStr:function(j){var ct=X(j);return ct}};function dg(j){return 52}function yI(j,ct,Dt,ce,Xe){return 70}var bI=[null,[],[]];function jk(j,ct){var Dt=bI[j];ct===0||ct===10?((j===1?_:A)(K(Dt,0)),Dt.length=0):Dt.push(ct)}function Xk(j,ct,Dt,ce){for(var Xe=0,Ye=0;Ye>2],re=gt[ct+4>>2];ct+=8;for(var yr=0;yr>2]=Xe,0}function hg(j){var ct=e[\"_\"+j];return ct}function _u(j,ct){ot.set(j,ct)}function wI(j,ct,Dt,ce,Xe){var Ye={string:nn=>{var kl=0;if(nn!=null&&nn!==0){var Dg=(nn.length<<2)+1;kl=Gd(Dg),et(nn,kl,Dg)}return kl},array:nn=>{var kl=Gd(nn.length);return _u(nn,kl),kl}};function ne(nn){return ct===\"string\"?X(nn):ct===\"boolean\"?Boolean(nn):nn}var re=hg(j),yr=[],Xn=0;if(ce)for(var oa=0;oane===\"number\"||ne===\"boolean\"),Ye=ct!==\"string\";return Ye&&Xe&&!ce?hg(j):function(){return wI(j,ct,Dt,arguments,ce)}}var Ld={abort:gI,emscripten_get_heap_max:Eu,emscripten_memcpy_big:xI,emscripten_resize_heap:Zc,fd_close:dg,fd_seek:yI,fd_write:Xk},II=Pd(),gg=e.___wasm_call_ctors=function(){return(gg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},xg=e._init=function(){return(xg=e._init=e.asm.init).apply(null,arguments)},vI=e._init_with_threads_count=function(){return(vI=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},yg=e._get_threads_count=function(){return(yg=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},SI=e._register_tensor=function(){return(SI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},jt=e._dispose_data=function(){return(jt=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},Md=e._dispose=function(){return(Md=e._dispose=e.asm.dispose).apply(null,arguments)},NI=e._Abs=function(){return(NI=e._Abs=e.asm.Abs).apply(null,arguments)},bg=e._Add=function(){return(bg=e._Add=e.asm.Add).apply(null,arguments)},Jc=e._AddN=function(){return(Jc=e._AddN=e.asm.AddN).apply(null,arguments)},TI=e._All=function(){return(TI=e._All=e.asm.All).apply(null,arguments)},kI=e._Any=function(){return(kI=e._Any=e.asm.Any).apply(null,arguments)},EI=e._ArgMax=function(){return(EI=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},_I=e._AvgPool=function(){return(_I=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},AI=e._BatchMatMul=function(){return(AI=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},wg=e._Ceil=function(){return(wg=e._Ceil=e.asm.Ceil).apply(null,arguments)},Cg=e._ClipByValue=function(){return(Cg=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},$I=e._Conv2D=function(){return($I=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},DI=e._Conv2DBackpropInput=function(){return(DI=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},RI=e._Cos=function(){return(RI=e._Cos=e.asm.Cos).apply(null,arguments)},zd=e._Cosh=function(){return(zd=e._Cosh=e.asm.Cosh).apply(null,arguments)},FI=e._CropAndResize=function(){return(FI=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},OI=e._Cumprod=function(){return(OI=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},PI=e._Cumsum=function(){return(PI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},Au=e._DepthToSpace=function(){return(Au=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},LI=e._DepthwiseConv2dNative=function(){return(LI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},MI=e._Elu=function(){return(MI=e._Elu=e.asm.Elu).apply(null,arguments)},Ig=e._Equal=function(){return(Ig=e._Equal=e.asm.Equal).apply(null,arguments)},zI=e._Exp=function(){return(zI=e._Exp=e.asm.Exp).apply(null,arguments)},Bd=e._FlipLeftRight=function(){return(Bd=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},BI=e._Floor=function(){return(BI=e._Floor=e.asm.Floor).apply(null,arguments)},VI=e._FloorDiv=function(){return(VI=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},GI=e._FusedBatchNorm=function(){return(GI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},Tl=e._FusedConv2D=function(){return(Tl=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},Vd=e._FusedDepthwiseConv2D=function(){return(Vd=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},WI=e._Gather=function(){return(WI=e._Gather=e.asm.Gather).apply(null,arguments)},UI=e._GatherNd=function(){return(UI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},HI=e._Greater=function(){return(HI=e._Greater=e.asm.Greater).apply(null,arguments)},qI=e._GreaterEqual=function(){return(qI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},vg=e._IsNan=function(){return(vg=e._IsNan=e.asm.IsNan).apply(null,arguments)},Sg=e._LeakyRelu=function(){return(Sg=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},KI=e._Less=function(){return(KI=e._Less=e.asm.Less).apply(null,arguments)},jI=e._LessEqual=function(){return(jI=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},Ng=e._Log=function(){return(Ng=e._Log=e.asm.Log).apply(null,arguments)},Tg=e._LogicalAnd=function(){return(Tg=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},XI=e._LogicalNot=function(){return(XI=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},YI=e._LogicalOr=function(){return(YI=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},ZI=e._LogicalXor=function(){return(ZI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},JI=e._Max=function(){return(JI=e._Max=e.asm.Max).apply(null,arguments)},kg=e._MaxPool=function(){return(kg=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},Yk=e._Maximum=function(){return(Yk=e._Maximum=e.asm.Maximum).apply(null,arguments)},QI=e._Mean=function(){return(QI=e._Mean=e.asm.Mean).apply(null,arguments)},tv=e._Min=function(){return(tv=e._Min=e.asm.Min).apply(null,arguments)},ev=e._Minimum=function(){return(ev=e._Minimum=e.asm.Minimum).apply(null,arguments)},rv=e._MirrorPad=function(){return(rv=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},nv=e._Multiply=function(){return(nv=e._Multiply=e.asm.Multiply).apply(null,arguments)},ov=e._Neg=function(){return(ov=e._Neg=e.asm.Neg).apply(null,arguments)},sv=e._NonMaxSuppressionV3=function(){return(sv=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},iv=e._NonMaxSuppressionV4=function(){return(iv=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},av=e._NonMaxSuppressionV5=function(){return(av=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},lv=e._NotEqual=function(){return(lv=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},uv=e._OneHot=function(){return(uv=e._OneHot=e.asm.OneHot).apply(null,arguments)},cv=e._PadV2=function(){return(cv=e._PadV2=e.asm.PadV2).apply(null,arguments)},pv=e._Pow=function(){return(pv=e._Pow=e.asm.Pow).apply(null,arguments)},mv=e._Prelu=function(){return(mv=e._Prelu=e.asm.Prelu).apply(null,arguments)},fv=e._Prod=function(){return(fv=e._Prod=e.asm.Prod).apply(null,arguments)},dv=e._RealDiv=function(){return(dv=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},hv=e._Reciprocal=function(){return(hv=e._Reciprocal=e.asm.Reciprocal).apply(null,arguments)},gv=e._Relu=function(){return(gv=e._Relu=e.asm.Relu).apply(null,arguments)},xv=e._Relu6=function(){return(xv=e._Relu6=e.asm.Relu6).apply(null,arguments)},yv=e._ResizeBilinear=function(){return(yv=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},bv=e._ResizeNearestNeighbor=function(){return(bv=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},wv=e._Reverse=function(){return(wv=e._Reverse=e.asm.Reverse).apply(null,arguments)},Cv=e._RotateWithOffset=function(){return(Cv=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},Iv=e._Round=function(){return(Iv=e._Round=e.asm.Round).apply(null,arguments)},vv=e._Rsqrt=function(){return(vv=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},Sv=e._ScatterNd=function(){return(Sv=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},Nv=e._SelectV2=function(){return(Nv=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},Tv=e._Sigmoid=function(){return(Tv=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},kv=e._Sin=function(){return(kv=e._Sin=e.asm.Sin).apply(null,arguments)},Ev=e._Softmax=function(){return(Ev=e._Softmax=e.asm.Softmax).apply(null,arguments)},_v=e._SparseFillEmptyRows=function(){return(_v=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},Av=e._SparseReshape=function(){return(Av=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},$v=e._SparseSegmentReduction=function(){return($v=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},Dv=e._Sqrt=function(){return(Dv=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},Rv=e._Square=function(){return(Rv=e._Square=e.asm.Square).apply(null,arguments)},Fv=e._SquaredDifference=function(){return(Fv=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},Ov=e._Step=function(){return(Ov=e._Step=e.asm.Step).apply(null,arguments)},Pv=e._StridedSlice=function(){return(Pv=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},Lv=e._Sub=function(){return(Lv=e._Sub=e.asm.Sub).apply(null,arguments)},Mv=e._Sum=function(){return(Mv=e._Sum=e.asm.Sum).apply(null,arguments)},zv=e._Tan=function(){return(zv=e._Tan=e.asm.Tan).apply(null,arguments)},Bv=e._Tanh=function(){return(Bv=e._Tanh=e.asm.Tanh).apply(null,arguments)},Vv=e._Tile=function(){return(Vv=e._Tile=e.asm.Tile).apply(null,arguments)},Gv=e._TopK=function(){return(Gv=e._TopK=e.asm.TopK).apply(null,arguments)},Wv=e._Transform=function(){return(Wv=e._Transform=e.asm.Transform).apply(null,arguments)},Uv=e._Transpose=function(){return(Uv=e._Transpose=e.asm.Transpose).apply(null,arguments)},Hv=e.__FusedMatMul=function(){return(Hv=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},qv=e._malloc=function(){return(qv=e._malloc=e.asm.malloc).apply(null,arguments)},Kv=e._free=function(){return(Kv=e._free=e.asm.free).apply(null,arguments)},jv=e.___errno_location=function(){return(jv=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},Eg=e.stackSave=function(){return(Eg=e.stackSave=e.asm.stackSave).apply(null,arguments)},_g=e.stackRestore=function(){return(_g=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Gd=e.stackAlloc=function(){return(Gd=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},Xv=e.dynCall_iijjiiii=function(){return(Xv=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},Yv=e.dynCall_jiji=function(){return(Yv=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=CI;var Qc;Vr=function j(){Qc||Ag(),Qc||(Vr=j)};function Ag(j){if(j=j||a,je>0||(Ae(),je>0))return;function ct(){Qc||(Qc=!0,e.calledRun=!0,!G&&($e(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),$n()))}e.setStatus?(e.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){e.setStatus(\"\")},1),ct()},1)):ct()}if(e.preInit)for(typeof e.preInit==\"function\"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();Ag();var tp;s&&(tp={uncaughtException:process.listeners(\"uncaughtException\").filter(function(j){return!s.uncaughtException.indexOf(j)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(j){return!s.unhandledRejection.indexOf(j)>-1})});var ep;if(typeof t!=\"undefined\")ep=t;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")ep=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(tp){var Zv=ep._dispose;ep._dispose=function(){Zv(),tp.uncaughtException.forEach(function(j){process.removeListener(\"uncaughtException\",j)}),tp.unhandledRejection.forEach(function(j){process.removeListener(\"unhandledRejection\",j)})}}return t.ready}})();typeof dI==\"object\"&&typeof Gk==\"object\"?Gk.exports=Vk:typeof define==\"function\"&&define.amd?define([],function(){return Vk}):typeof dI==\"object\"&&(dI.WasmBackendModule=Vk)});var ia=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},zo=class{refCount(t){return Rn(\"refCount\")}incRef(t){return Rn(\"incRef\")}timerAvailable(){return!0}time(t){return Rn(\"time\")}read(t){return Rn(\"read\")}readSync(t){return Rn(\"readSync\")}readToGPU(t,e){return Rn(\"readToGPU\")}numDataIds(){return Rn(\"numDataIds\")}disposeData(t,e){return Rn(\"disposeData\")}write(t,e,n){return Rn(\"write\")}move(t,e,n,o,s){return Rn(\"move\")}createTensorFromGPUData(t,e,n){return Rn(\"createTensorFromGPUData\")}memory(){return Rn(\"memory\")}floatPrecision(){return Rn(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Rn(\"dispose\")}};function Rn(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function s1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,zg(r,t,e)}function VU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,zg(r,e,n),zg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function GU(r){return r%2===0?r:r+1}function zg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function WU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Zn(r){E(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function Jt(r){if(r.length===0)return 1;let t=r[0];for(let e=1;e0,e,n){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n!=null?n(a,u):setTimeout(a,u)};a()})}function ZU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function pr(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>aa(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function n0(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:pr(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function o0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function s0(r,t){let e=null;if(r==null||r===\"float32\")e=new Float32Array(t);else if(r===\"int32\")e=new Int32Array(t);else if(r===\"bool\")e=new Uint8Array(t);else if(r===\"string\")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function i0(r,t){for(let e=0;et+=e.length),t}function Bo(r){return typeof r==\"string\"||r instanceof String}function i1(r){return typeof r==\"boolean\"}function a1(r){return typeof r==\"number\"}function sp(r){return Array.isArray(r)?sp(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":a1(r)?\"float32\":Bo(r)?\"string\":i1(r)?\"bool\":\"float32\"}function ii(r){return!!(r&&r.constructor&&r.call&&r.apply)}function ip(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function l1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?\" for a complex tensor\":\"\"}.`);return l1(0,r,t,e)}function QU(r,t){if(Array.isArray(r))return r;if(t===\"float32\")return r instanceof Float32Array?r:new Float32Array(r);if(t===\"int32\")return r instanceof Int32Array?r:new Int32Array(r);if(t===\"bool\"||t===\"string\")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${t}`)}function Ud(r,t){let e=ap(r,t);for(let n=0;nn*o,1);if(t==null||t===\"float32\")return $u(r,new Float32Array(e));if(t===\"int32\")return $u(r,new Int32Array(e));if(t===\"bool\")return $u(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Le(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function e4(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(\":\");this.urlFlags[o]=i4(o,s)})}};function o4(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(s4(t,n[0],n[1]),n.join(\"=\"))),t}function s4(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||\"\")}function i4(r,t){if(t=t.toLowerCase(),t===\"true\"||t===\"false\")return t===\"true\";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function M(){return u0}var u0=null;function c1(r){u0=r}var c0;function p0(){if(c0==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");c0=r}return c0}function a4(){let r=p0();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function qd(r,t){let e=a4();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var li=\"Abs\",la=\"Acos\",ua=\"Acosh\",Jn=\"Add\",Vo=\"AddN\",ca=\"All\",pa=\"Any\",Go=\"ArgMax\",_l=\"ArgMin\",ma=\"Asin\",fa=\"Asinh\",da=\"Atan\",ha=\"Atanh\",ga=\"Atan2\",Wo=\"AvgPool\",lp=\"AvgPoolGrad\",Al=\"AvgPool3D\",up=\"AvgPool3DGrad\",Uo=\"BatchMatMul\",ui=\"BatchToSpaceND\",cp=\"Bincount\",p1=\"BroadcastTo\",pp=\"BroadcastArgs\",uo=\"Cast\",Ho=\"Ceil\",co=\"ClipByValue\",mp=\"Complex\",$l=\"ComplexAbs\",ci=\"Concat\",qo=\"Conv2D\",fp=\"Conv2DBackpropFilter\",Ko=\"Conv2DBackpropInput\",Dl=\"Conv3D\",dp=\"Conv3DBackpropFilterV2\",hp=\"Conv3DBackpropInputV2\",jo=\"Cos\",Xo=\"Cosh\",xa=\"Cumprod\",Yo=\"Cumsum\",ya=\"CropAndResize\",gp=\"DenseBincount\",ba=\"DepthToSpace\",Zo=\"DepthwiseConv2dNative\",xp=\"DepthwiseConv2dNativeBackpropFilter\",yp=\"DepthwiseConv2dNativeBackpropInput\",bp=\"Diag\",Rl=\"Dilation2D\",Kd=\"Dilation2DBackpropInput\",jd=\"Dilation2DBackpropFilter\",Jo=\"RealDiv\",wp=\"Einsum\",Qo=\"Elu\",Cp=\"EluGrad\",wa=\"Erf\",Ca=\"Equal\",ts=\"Exp\",pi=\"ExpandDims\",Ia=\"Expm1\",Ip=\"FFT\",Fl=\"Fill\",va=\"FlipLeftRight\",es=\"Floor\",rs=\"FloorDiv\",ns=\"FusedBatchNorm\",mi=\"GatherV2\",Sa=\"GatherNd\",Na=\"Greater\",os=\"GreaterEqual\",po=\"Identity\",vp=\"IFFT\",Sp=\"Imag\",Ta=\"IsFinite\",ka=\"IsInf\",ss=\"IsNan\",is=\"LeakyRelu\",Ea=\"Less\",_a=\"LessEqual\",Np=\"LinSpace\",as=\"Log\",Aa=\"Log1p\",$a=\"LogicalAnd\",Da=\"LogicalNot\",Ra=\"LogicalOr\",m1=\"LogicalXor\",f1=\"LogSoftmax\",Nlt=\"LowerBound\",Ol=\"LRN\",Tp=\"LRNGrad\",ls=\"Max\",us=\"Maximum\",cs=\"MaxPool\",kp=\"MaxPoolGrad\",Pl=\"MaxPool3D\",Ep=\"MaxPool3DGrad\",_p=\"MaxPoolWithArgmax\",ps=\"Mean\",ms=\"Min\",fs=\"Minimum\",ds=\"MirrorPad\",Fa=\"Mod\",Ap=\"Multinomial\",hs=\"Multiply\",fi=\"Neg\",Oa=\"NotEqual\",Pa=\"NonMaxSuppressionV3\",La=\"NonMaxSuppressionV4\",Ma=\"NonMaxSuppressionV5\",di=\"OnesLike\",gs=\"OneHot\",hi=\"Pack\",xs=\"PadV2\",Tlt=\"Pool\",ys=\"Pow\",bs=\"Prelu\",ws=\"Prod\",$p=\"RaggedGather\",Dp=\"RaggedRange\",Rp=\"RaggedTensorToTensor\",Ll=\"Range\",Fp=\"Real\",Cs=\"Reciprocal\",Is=\"Relu\",gi=\"Reshape\",vs=\"ResizeNearestNeighbor\",Op=\"ResizeNearestNeighborGrad\",Ss=\"ResizeBilinear\",Pp=\"ResizeBilinearGrad\",Ns=\"Relu6\",Ts=\"Reverse\",ks=\"Round\",Es=\"Rsqrt\",za=\"ScatterNd\",Lp=\"SearchSorted\",xi=\"Select\",Ba=\"Selu\",yi=\"Slice\",_s=\"Sin\",Va=\"Sinh\",Ga=\"Sign\",As=\"Sigmoid\",Wa=\"Softplus\",$s=\"Sqrt\",Ds=\"Sum\",bi=\"SpaceToBatchND\",wi=\"SplitV\",Rs=\"Softmax\",Ml=\"SparseFillEmptyRows\",Ua=\"SparseReshape\",zl=\"SparseSegmentMean\",Bl=\"SparseSegmentSum\",Mp=\"SparseToDense\",Fs=\"SquaredDifference\",Vl=\"Square\",Ha=\"StridedSlice\",Gl=\"StringNGrams\",Wl=\"StringSplit\",Ul=\"StringToHashBucketFast\",Os=\"Sub\",Ps=\"Tan\",Ls=\"Tanh\",Qn=\"Tile\",qa=\"TopK\",Ka=\"Transform\",to=\"Transpose\",zp=\"Unique\",Ci=\"Unpack\",Hl=\"UnsortedSegmentSum\",klt=\"UpperBound\",Ii=\"ZerosLike\",mo=\"Step\",Xd=\"FromPixels\",ja=\"RotateWithOffset\",vi=\"_FusedMatMul\",Si=\"FusedConv2D\",Ni=\"FusedDepthwiseConv2D\";function Ti(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.warn(...r)}function l4(...r){M().getBool(\"IS_TEST\")||M().getBool(\"PROD\")||console.log(...r)}var Bp=qd(\"kernelRegistry\",()=>new Map),Yd=qd(\"gradRegistry\",()=>new Map);function Zd(r,t){let e=f0(r,t);return Bp.get(e)}function m0(r){return Yd.get(r)}function Bg(r){let t=Bp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split(\"_\");a===r&&e.push(i)}return e}function Fu(r){let{kernelName:t,backendName:e}=r,n=f0(t,e);Bp.has(n)&&Ti(`The kernel '${t}' for backend '${e}' is already registered`),Bp.set(n,r)}function h1(r){let{kernelName:t}=r;Yd.has(t)&&M().getBool(\"DEBUG\")&&Ti(`Overriding the gradient for '${t}'`),Yd.set(t,r)}function Dlt(r,t){let e=f0(r,t);if(!Bp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);Bp.delete(e)}function Rlt(r){if(!Yd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Yd.delete(r)}function Flt(r,t){Bg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Fu(o)})}function f0(r,t){return`${t}_${r}`}var y={};Ut(y,{arraysEqual:()=>Fn,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Le,assertNonNull:()=>Zn,assertShapesMatch:()=>Re,bytesFromStringArray:()=>l0,bytesPerElement:()=>op,checkConversionForErrors:()=>i0,clamp:()=>np,computeStrides:()=>ai,convertBackendValuesAndArrayBuffer:()=>QU,createScalarValue:()=>h4,createShuffledIndices:()=>XU,decodeString:()=>Up,distSquared:()=>HU,encodeString:()=>Kl,fetch:()=>x4,fingerPrint64:()=>d4,flatten:()=>zs,getArrayFromDType:()=>s0,getTypedArrayFromDType:()=>o0,hasEncodingLoss:()=>JU,hexToLong:()=>Jd,indexToLoc:()=>r4,inferDtype:()=>sp,inferFromImplicitShape:()=>ZU,isBoolean:()=>i1,isFunction:()=>ii,isInt:()=>aa,isNumber:()=>a1,isPromise:()=>Ru,isScalarShape:()=>qU,isString:()=>Bo,isTypedArray:()=>mr,isValidDtype:()=>a0,locToIndex:()=>e4,makeOnesTypedArray:()=>Ud,makeZerosNestedTypedArray:()=>t4,makeZerosTypedArray:()=>ap,nearestDivisor:()=>ip,nearestLargerEven:()=>GU,now:()=>zu,parseAxisParam:()=>pr,randUniform:()=>UU,repeatedTry:()=>YU,rightPad:()=>Du,shuffle:()=>s1,shuffleCombo:()=>VU,sizeFromShape:()=>Jt,sizeToSquarishShape:()=>jU,squeezeShape:()=>n0,sum:()=>WU,swap:()=>zg,tanh:()=>KU,toNestedArray:()=>$u,toTypedArray:()=>Wp});var x0=El(T1());var Mu=x0.default||x0;function Jd(r){return Mu.fromString(r,!0,16)}var E1=Jd(\"c3a5c85c97cb3127\"),Lu=Jd(\"b492b66fbe98f273\"),on=Jd(\"9ae16a3b2f90404f\");function g0(r){return r.xor(r.shru(47))}function _1(r,t,e){let n=r.slice(t,t+e);return Mu.fromBytes(Array.from(n),!0,!0)}function Me(r,t){return _1(r,t,8)}function k1(r,t){return _1(r,t,4)}function _r(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function ql(r,t,e=Jd(\"9ddfea08eb382d69\")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function c4(r,t,e,n,o,s){o=o.add(r),s=_r(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(_r(o,44)),[o.add(n),s.add(i)]}function Gg(r,t,e,n){return c4(Me(r,t),Me(r,t+8),Me(r,t+16),Me(r,t+24),e,n)}function p4(r,t=r.length){if(t>=8){let e=on.add(t*2),n=Me(r,0).add(on),o=Me(r,t-8),s=_r(o,37).mul(e).add(n),i=_r(n,25).add(o).mul(e);return ql(s,i,e)}if(t>=4){let e=on.add(t*2),n=k1(r,0);return ql(n.shl(3).add(t),k1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return g0(on.mul(s).xor(E1.mul(i))).mul(on)}return on}function m4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(Lu),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on);return ql(_r(n.add(o),43).add(_r(s,30)).add(i),n.add(_r(o.add(on),18)).add(s),e)}function f4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(on),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on),a=_r(n.add(o),43).add(_r(s,30)).add(i),u=ql(a,n.add(_r(o.add(on),18)).add(s),e),l=Me(r,16).mul(e),c=Me(r,24),p=a.add(Me(r,t-32)).mul(e),m=u.add(Me(r,t-24)).mul(e);return ql(_r(l.add(c),43).add(_r(p,30)).add(m),l.add(_r(c.add(n),18)).add(p),e)}function d4(r,t=r.length){let e=Mu.fromNumber(81,!0);if(t<=32)return t<=16?p4(r,t):m4(r,t);if(t<=64)return f4(r,t);let n=e,o=e.mul(Lu).add(113),s=g0(o.mul(on).add(113)).mul(on),i=[Mu.UZERO,Mu.UZERO],a=[Mu.UZERO,Mu.UZERO];n=n.mul(on).add(Me(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(Lu),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(Lu),n=n.xor(a[1]),o=o.add(i[0]).add(Me(r,u+40)),s=_r(s.add(a[0]),33).mul(Lu),i=Gg(r,u,i[1].mul(Lu),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=Lu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(p),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Me(r,u+40))),s=_r(s.add(a[0]),33).mul(p),i=Gg(r,u,i[1].mul(p),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],ql(ql(i[0],a[0],p).add(g0(o).mul(E1)).add(s),ql(i[1],a[1],p).add(n),p)}function h4(r,t){return t===\"string\"?Kl(r):Wp([r],t)}function g4(r,t){return r instanceof Float32Array&&t===\"float32\"||r instanceof Int32Array&&t===\"int32\"||r instanceof Uint8Array&&t===\"bool\"}function Wp(r,t){if(t===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=zs(r)),M().getBool(\"DEBUG\")&&i0(r,t),g4(r,t))return r;if(t==null||t===\"float32\"||t===\"complex64\")return new Float32Array(r);if(t===\"int32\")return new Int32Array(r);if(t===\"bool\"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=zu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:zu()-a})}if(M().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let l=0;l{y4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():\"\")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function y4(r,t,e){if(t!==\"float32\")return!1;for(let n=0;n0?h:\"\"} `}}console.log(`%c${u}\t%c${a}\t%c${l}D ${p}\t%c${c}\t%c${m}\t%c${i}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function A1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!Fn(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var D1=20,Qd=3,b0=7;function R1(r,t,e,n){let o=ai(t),s=b4(r,t,e,o),i=t.length,a=Ug(r,t,e,o,s),u=[\"Tensor\"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(\" values:\")),u.push(a.map(l=>\" \"+l).join(`\n`)),u.join(`\n`)}function b4(r,t,e,n){let o=Jt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e===\"complex64\"?eh(r):r;if(a>1)for(let l=0;lD1){let g=Qd*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-Qd)*i,a*i));return e===\"complex64\"&&(x=eh(x),b=eh(b)),[\"[\"+x.map((w,C)=>th(w,o[C],e)).join(\", \")+\", ..., \"+b.map((w,C)=>th(w,o[a-Qd+C],e)).join(\", \")+\"]\"]}return[\"[\"+(e===\"complex64\"?eh(r):Array.from(r)).map((g,x)=>th(g,o[x],e)).join(\", \")+\"]\"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>D1){for(let h=0;h0?m[0]+f:\"\");for(let h=1;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||s0(e,this.size),this.strides=ai(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oUp(n))}catch(n){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return t}dataToGPU(t){return this.throwIfDisposed(),Bs().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Bs().readSync(this.dataId);if(this.dtype===\"string\")try{return t.map(e=>Up(e))}catch(e){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return t}async bytes(){this.throwIfDisposed();let t=await Bs().read(this.dataId);return this.dtype===\"string\"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Bs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(t=!1){return Hp.print(this,t)}clone(){return this.throwIfDisposed(),Hp.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Hp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Bs().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return qd(\"Tensor\",()=>Ft)}O();var Xa=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Fn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Bs().disposeTensor(this),this.dataId=t.dataId,Bs().incRef(this,null)}dispose(){Bs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Xa,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var xo={};Ut(xo,{assertTypesMatch:()=>N0,getTensorsInContainer:()=>rh,isTensorInList:()=>I4,makeTypesMatch:()=>Ht});var w0;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(w0||(w0={}));var C0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(C0||(C0={}));var I0;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(I0||(I0={}));var v0;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(v0||(v0={}));var S0;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(S0||(S0={}));var C4={float32:v0,int32:C0,bool:I0,complex64:S0};function lr(r,t){if(r===\"string\"||t===\"string\"){if(r===\"string\"&&t===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${t}`)}return C4[r][t]}function Bu(r){return lr(r,\"int32\")}function Ht(r,t){if(r.dtype===t.dtype)return[r,t];let e=lr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function N0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function I4(r,t){return t.some(e=>e.id===r.id)}function rh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!v4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function v4(r){return Array.isArray(r)||typeof r==\"object\"}function T0(r){return r.kernelName!=null}var Hg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},jl=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Hg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Bg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then==\"function\"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return jl.nextTensorId++}nextVariableId(){return jl.nextVariableId++}clone(t){let e=k.runKernel(po,{x:t}),n={x:t},o=i=>({x:()=>{let a=\"float32\",u={x:i},l={dtype:a};return k.runKernel(uo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Zd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype===\"complex64\"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=T0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(T0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Zd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{o&&(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=T0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=m0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>\"saveAllInputs is true, expected inputs to be an array.\"),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error(\"Values passed to engine.makeTensor() are null\");n=n||\"float32\",o=o||this.backend;let s=t;n===\"string\"&&Bo(t[0])&&(s=t.map(u=>Kl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n===\"string\"){let u=this.state.tensorInfo.get(i),l=l0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||\"float32\";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Xa(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype===\"string\"&&this.state.numStringTensors++;let n=0;t.dtype!==\"complex64\"&&t.dtype!==\"string\"&&(n=t.size*op(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Xa||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!==\"complex64\"&&t.dtype!==\"string\"){let n=t.size*op(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=m0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ap(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=rh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>\"gradients() received an empty list of xs.\"),n!=null&&n.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",t));E(s instanceof Ft,()=>\"The result y returned by f() must be a tensor.\");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let a={};a[s.id]=n==null?S4(s.shape):n,$1(a,i,l=>this.tidy(l),N4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ii(t),()=>\"The f passed in customGrad(f) must be a function.\"),(...e)=>{E(e.every(a=>a instanceof Ft),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),E(ii(n.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),E(c.every(m=>m instanceof Ft),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=zu(),n=await this.backend.time(t);return n.wallMs=zu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Hg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};jl.nextTensorId=0;jl.nextVariableId=0;function S4(r){let t=Ud(Jt(r),\"float32\");return k.makeTensor(t,r,\"float32\")}function k0(){let r=p0();if(r._tfengine==null){let t=new Hd(r);r._tfengine=new jl(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=k0();function N4(r,t){let e={a:r,b:t};return k.runKernel(Jn,e)}var Xl={};Ut(Xl,{isBrowser:()=>_0,isMobile:()=>E4,mockIsMobile:()=>k4});function T4(){return typeof navigator!=\"undefined\"&&navigator!=null}var E0;function k4(r){E0=r}function E4(r){if(E0!==void 0)return E0;if(r||T4()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let t=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(t.substr(0,4))}return!1}function _0(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var eo=M();eo.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});eo.registerFlag(\"IS_BROWSER\",()=>_0());eo.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");eo.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));eo.registerFlag(\"PROD\",()=>!1);eo.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>eo.getBool(\"DEBUG\"));eo.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);eo.registerFlag(\"IS_TEST\",()=>!1);eo.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>!0);eo.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);eo.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);eo.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function Gr(r,t){let e=r;if(mr(r))return t===\"string\"?[]:[r.length];if(typeof r==\"object\"){if(\"texture\"in r){let s=r.channels||\"RGBA\";return[r.height,r.width*s.length]}else if(\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(t==null?4:op(t))]}if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(e)||mr(e)&&t!==\"string\";)o.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&B1(r,o,[]),o}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!mr(r)){E(t.length===0,()=>`Element arr[${e.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join(\"][\")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!mr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let u=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Gr(r,o);!mr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!==\"string\"?Wp(r,o):zs(r,[],!0);return k.makeTensor(a,s,o)}function Ya(r,t,e,n=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,i)=>v(s,`${t}[${i}]`,e,n))}var A0=\"__op\";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith(\"_\")&&(e=e.substring(0,e.length-1)),e=e+A0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Ru(i)&&console.error(\"Cannot return a Promise inside of tidy.\"),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,\"name\",{value:e,configurable:!0}),o}function _4(r,t){let e=v(r,\"real\",\"complex\"),n=v(t,\"imag\",\"complex\");Re(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(mp,o)}var In=T({complex_:_4});function sn(r,t,e,n){if(n==null)n=sp(r);else if(n===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(typeof r==\"object\"&&(\"texture\"in r||\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))){if(n!==\"float32\"&&n!==\"int32\")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return k.backend.createTensorFromGPUData(r,t||e,n)}if(!mr(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(t!=null){Le(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!mr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!==\"string\"?Wp(r,n):zs(r,[],!0),k.makeTensor(r,t,n)}function or(r,t,e){let n=Gr(r,e);return sn(r,t,n,e)}var nh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var qg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+qg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var $0=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function V1(r){return $0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if($0)return Buffer.from(r).toString(\"base64\");let t=new Uint8Array(r),e=\"\";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function D0(r){let t=\"/\";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function jg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function R0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!e)throw new Error(\"modelJSON has weightsManifest but weightData is null\");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function Kp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),R0(r,e,n)}function ki(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Xg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function $4(){let r=e=>{let n=e<<13,o=0;for(;!(n&8388608);)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function D4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function R4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function F4(){let r=$4(),t=D4(),e=R4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ie=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ie.instance==null&&(Ie.instance=new Ie),Ie.instance}static registerSaveRouter(t){Ie.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ie.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ie.getHandlers(t,\"save\")}static getLoadHandlers(t,e){return Ie.getHandlers(t,\"load\",e)}static getHandlers(t,e,n){let o=[];return(e===\"load\"?Ie.getInstance().loadRouters:Ie.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ie.registerSaveRouter(r),q1=r=>Ie.registerLoadRouter(r),K1=r=>Ie.getSaveHandlers(r),j1=(r,t)=>Ie.getLoadHandlers(r,t);var F0=\"tensorflowjs\",O0=1,Vu=\"models_store\",Yl=\"model_info_store\";function X1(){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function P0(r){let t=r.result;t.createObjectStore(Vu,{keyPath:\"modelPath\"}),t.createObjectStore(Yl,{keyPath:\"modelPath\"})}var Ei=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(F0,O0);s.onupgradeneeded=()=>P0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Vu,\"readonly\"),l=a.objectStore(Vu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=ki(e),u=i.transaction(Yl,\"readwrite\"),l=u.objectStore(Yl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Vu,\"readwrite\");let f=p.objectStore(Vu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(Yl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ei.URL_SCHEME=\"indexeddb://\";var Y1=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ei.URL_SCHEME)?O4(r.slice(Ei.URL_SCHEME.length)):null;Ie.registerSaveRouter(Y1);Ie.registerLoadRouter(Y1);function O4(r){return new Ei(r)}function P4(r){return r.startsWith(Ei.URL_SCHEME)?r.slice(Ei.URL_SCHEME.length):r}var Yg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(F0,O0);n.onupgradeneeded=()=>P0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(Yl,\"readonly\"),a=s.objectStore(Yl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=P4(t),new Promise((e,n)=>{let o=this.indexedDB.open(F0,O0);o.onupgradeneeded=()=>P0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(Yl,\"readwrite\"),a=i.objectStore(Yl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Vu,\"readwrite\");let f=l.objectStore(Vu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Za=\"/\",jp=\"tensorflowjs_models\",Z1=\"info\",L4=\"model_topology\",M4=\"weight_specs\",z4=\"weight_data\",B4=\"model_metadata\";function J1(r){return{info:[jp,r,Z1].join(Za),topology:[jp,r,L4].join(Za),weightSpecs:[jp,r,M4].join(Za),weightData:[jp,r,z4].join(Za),modelMetadata:[jp,r,B4].join(Za)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function V4(r){let t=r.split(Za);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Za)}function G4(r){return r.startsWith(_i.URL_SCHEME)?r.slice(_i.URL_SCHEME.length):r}var _i=class{constructor(t){if(!M().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,t==null||!t)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=ki(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};_i.URL_SCHEME=\"localstorage://\";var tE=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(_i.URL_SCHEME)?W4(r.slice(_i.URL_SCHEME.length)):null;Ie.registerSaveRouter(tE);Ie.registerLoadRouter(tE);function W4(r){return new _i(r)}var Zg=class{constructor(){E(M().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),E(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let t={},e=jp+Za,n=Za+Z1;for(let o=0;o\"scheme must not be undefined or null.\"),t.endsWith(Xp)&&(t=t.slice(0,t.indexOf(Xp))),E(t.length>0,()=>\"scheme must not be an empty string.\");let n=Ar.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Ar.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Ar.getInstance().managers)}};function Jg(r){if(r.indexOf(Xp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Ar.getSchemes().join(\",\")}`);return{scheme:r.split(Xp)[0],path:r.split(Xp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ie.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ie.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Jg(r).scheme,u=Jg(r).path,l=a===Jg(r).scheme,c=await o.load();e&&l&&await Ar.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Ar.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Ar.getSchemes(),t={};for(let e of r){let n=await Ar.getManager(e).listModels();for(let o in n){let s=e+Xp+o;t[s]=n[o]}}return t}async function nE(r){let t=Jg(r);return Ar.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var L0=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window==\"undefined\"||!M().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array||t instanceof Uint8ClampedArray}};if(M().get(\"IS_BROWSER\")){M().setPlatform(\"browser\",new L0);try{Ar.registerManager(_i.URL_SCHEME,new Zg)}catch(r){}try{Ar.registerManager(Ei.URL_SCHEME,new Yg)}catch(r){}}var U4={importFetch:()=>iE()},M0;var z0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(M0==null&&(M0=U4.importFetch()),M0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!==\"utf-8\"&&e!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?\"\":new this.util.TextDecoder(e).decode(t)}isTypedArray(t){return this.util.types.isFloat32Array(t)||this.util.types.isInt32Array(t)||this.util.types.isUint8Array(t)||this.util.types.isUint8ClampedArray(t)}};M().get(\"IS_NODE\")&&!M().get(\"IS_BROWSER\")&&M().setPlatform(\"node\",new z0);function bt(r,t=\"float32\",e){return t=t||\"float32\",Le(r),new pe(r,t,e)}function H4(r,t){let e=v(r,\"x\",\"cast\");if(!a0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t===\"string\"&&e.dtype!==\"string\"||t!==\"string\"&&e.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let n={x:e},o={dtype:t};return k.runKernel(uo,n,o)}var J=T({cast_:H4});function q4(r){let e={x:v(r,\"x\",\"clone\",\"string_or_numeric\")};return k.runKernel(po,e)}var an=T({clone_:q4});function Qg(r,t=!1){console.log(r.toString(t))}k0();var K4={buffer:bt,cast:J,clone:an,print:Qg};P1(K4);function Mct(){M().set(\"PROD\",!0)}function zct(){M().set(\"DEBUG\",!0)}function Bct(){M().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function B0(r){M().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}L1(B0);function Vct(){k.disposeVariables()}function Ln(){return k}function oh(){return k.memory()}function Gct(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function Nt(r){rh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Wct(r){return k.time(r)}function j4(r){return k.setBackend(r)}function Uct(){return k.ready()}function Hct(){return k.backendName}function qct(r){k.removeBackend(r)}function Kct(r){return k.findBackend(r)}function jct(r){return k.findBackendFactory(r)}function Yp(r,t,e=1){return k.registerBackend(r,t,e)}function lE(){return k.backend}function Xct(r,t){M().setPlatform(r,t)}function X4(r,t){let e=v(r,\"a\",\"add\"),n=v(t,\"b\",\"add\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Jn,o)}var Y=T({add_:X4});function Y4(r,t){let e=v(r,\"a\",\"floorDiv\"),n=v(t,\"b\",\"floorDiv\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(rs,o)}var Zp=T({floorDiv_:Y4});function Z4(r,t){let e=v(r,\"a\",\"div\"),n=v(t,\"b\",\"div\");if([e,n]=Ht(e,n),e.dtype===\"int32\"&&n.dtype===\"int32\")return Zp(e,n);let o={a:e,b:n},s={};return k.runKernel(Jo,o,s)}var ut=T({div_:Z4});function J4(r,t){let e=v(r,\"a\",\"mul\"),n=v(t,\"b\",\"mul\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:J4});function Q4(r){let t=v(r,\"x\",\"abs\");if(t.dtype===\"complex64\"){let e={x:t};return k.runKernel($l,e)}else{let e={x:t};return k.runKernel(li,e)}}var Ee=T({abs_:Q4});function tH(r){let e={x:v(r,\"x\",\"acos\")};return k.runKernel(la,e)}var tx=T({acos_:tH});function eH(r){let e={x:v(r,\"x\",\"acosh\")};return k.runKernel(ua,e)}var ex=T({acosh_:eH});function rH(r){E(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>v(o,`tensors${s}`,\"addN\")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(o=>{if(!Fn(o.shape,e.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let n=t;return k.runKernel(Vo,n)}var uE=T({addN_:rH});function nH(r,t=null,e=!1){let o={x:v(r,\"x\",\"all\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(ca,o,s)}var Jp=T({all_:nH});function oH(r,t=null,e=!1){let o={x:v(r,\"x\",\"any\",\"bool\")},s={axis:t,keepDims:e};return k.runKernel(pa,o,s)}var Gu=T({any_:oH});function sH(r,t=0){let n={x:v(r,\"x\",\"argMax\")},o={axis:t};return k.runKernel(Go,n,o)}var Ai=T({argMax_:sH});function iH(r,t=0){let n={x:v(r,\"x\",\"argMin\")},o={axis:t};return k.runKernel(_l,n,o)}var rx=T({argMin_:iH});function aH(r){let e={x:v(r,\"x\",\"asin\")};return k.runKernel(ma,e)}var nx=T({asin_:aH});function lH(r){let e={x:v(r,\"x\",\"asinh\")};return k.runKernel(fa,e)}var ox=T({asinh_:lH});function uH(r){let e={x:v(r,\"x\",\"atan\")};return k.runKernel(da,e)}var sx=T({atan_:uH});function cH(r,t){let e=v(r,\"a\",\"atan2\"),n=v(t,\"b\",\"atan2\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(ga,o)}var ix=T({atan2_:cH});function pH(r){let e={x:v(r,\"x\",\"atanh\")};return k.runKernel(ha,e)}var ax=T({atanh_:pH});function mH(r,t,e,n,o=\"NHWC\",s){let i=r[3],a=[...t,i],u=pE(o);return Wu(r,a,e,s,n,null,null,u)}function G0(r,t,e,n,o,s,i=\"channelsLast\"){let[a,u]=sh(t),l;if(i===\"channelsLast\")l=[a,u,r[3],r[3]];else if(i===\"channelsFirst\")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Wu(r,l,e,n,o,s,!1,i)}function fH(r,t,e,n,o,s,i=\"NDHWC\"){let[a,u,l]=V0(t),c,p;if(i===\"NDHWC\")p=\"channelsLast\",c=[a,u,l,r[4],r[4]];else if(i===\"NCDHW\")p=\"channelsFirst\",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return cE(r,c,e,n,o,!1,p,s)}function Wu(r,t,e,n,o,s,i=!1,a=\"channelsLast\"){let[u,l,c,p]=[-1,-1,-1,-1];if(a===\"channelsLast\")[u,l,c,p]=r;else if(a===\"channelsFirst\")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=sh(e),[x,b]=sh(n),w=Qp(m,x),C=Qp(f,b),{padInfo:N,outHeight:_,outWidth:A}=gH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a===\"channelsFirst\"?F=[u,$,_,A]:a===\"channelsLast\"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function cE(r,t,e,n,o,s=!1,i=\"channelsLast\",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i===\"channelsLast\")[u,l,c,p,m]=r;else if(i===\"channelsFirst\")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=V0(e),[C,N,_]=V0(n),A=Qp(f,C),$=Qp(d,N),F=Qp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=xH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i===\"channelsFirst\"?H=[u,q,V,G,W]:i===\"channelsLast\"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function dH(r,t,e,n,o){n==null&&(n=W0(r,t,e));let s=r[0],i=r[1],a=ih((s-t+2*n)/e+1,o),u=ih((i-t+2*n)/e+1,o);return[a,u]}function hH(r,t,e,n,o,s){o==null&&(o=W0(r,t[0],n[0]));let i=[0,0,0,e];for(let a=0;a<3;a++)r[a]+2*o>=t[a]&&(i[a]=ih((r[a]-t[a]+2*o)/n[a]+1,s));return i}function W0(r,t,e,n=1){let o=Qp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function sh(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function V0(r){return typeof r==\"number\"?[r,r,r]:r}function Qp(r,t){return t<=1?r:r+(r-1)*(t-1)}function gH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let f=dH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r===\"same\"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")l={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r==\"object\"){let m=u===\"channelsLast\"?r[1][0]:r[2][0],f=u===\"channelsLast\"?r[1][1]:r[2][1],d=u===\"channelsLast\"?r[2][0]:r[3][0],h=u===\"channelsLast\"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?\"VALID\":\"EXPLICIT\"},c=ih((t-s+m+f)/n+1,a),p=ih((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function xH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(r===\"valid\"&&(r=0),typeof r==\"number\"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=hH([t,e,n,1],[a,u,l],1,[o,s,i],r,c);m=g[0],f=g[1],d=g[2]}else if(r===\"same\"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:\"SAME\"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function ih(r,t){if(!t)return Math.trunc(r);switch(t){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function ro(r){let[t,e,n]=sh(r);return t===1&&e===1&&n===1}function $r(r,t){return ro(r)||ro(t)}function $i(r){return sh(r).every(t=>t>0)}function pE(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function ve(r,t,e){if(e!=null){if(typeof t==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t==\"number\")E(aa(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t==\"object\")t.forEach(n=>{n.forEach(o=>{E(aa(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function yH(r,t){let n={x:v(r,\"x\",\"reshape\",\"string_or_numeric\")},o={shape:t};return k.runKernel(gi,n,o)}var R=T({reshape_:yH});function bH(r,t,e,n,o){let s=v(r,\"x\",\"avgPool\",\"float32\"),i=1;E($r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),ve(\"avgPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Wo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Zl=T({avgPool_:bH});function wH(r,t,e,n,o,s=\"NDHWC\"){let i=v(r,\"x\",\"avgPool3d\",\"float32\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),E(typeof e==\"number\"&&e>0||Array.isArray(e)&&e[0]>0&&e[1]>0&&e[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${e}'`),ve(\"avgPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Al,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var lx=T({avgPool3d_:wH});function CH(r,t=0){E(r.length>=1,()=>\"Pass at least one tensor to concat\");let e=Ya(r,\"tensors\",\"concat\",\"string_or_numeric\");if(e[0].dtype===\"complex64\"&&e.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),e.length===1)return an(e[0]);let n=e,o={axis:t};return k.runKernel(ci,n,o)}var oe=T({concat_:CH});function IH(r,t,e=!1,n=!1){let o=v(r,\"a\",\"matMul\"),s=v(t,\"b\",\"matMul\");[o,s]=Ht(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return k.runKernel(Uo,i,a)}var Mt=T({matMul_:IH});function vH(r){let e={x:v(r,\"x\",\"sigmoid\",\"float32\")};return k.runKernel(As,e)}var Qr=T({sigmoid_:vH});function SH(r,t,e){let n=v(r,\"x\",\"slice\",\"string_or_numeric\");if(n.rank===0)throw new Error(\"Slicing scalar is not possible\");let o={x:n},s={begin:t,size:e};return k.runKernel(yi,o,s)}var Rt=T({slice_:SH});function NH(r){let e={x:v(r,\"x\",\"tanh\",\"float32\")};return k.runKernel(Ls,e)}var Di=T({tanh_:NH});function TH(r,t,e,n,o,s){let i=v(r,\"forgetBias\",\"basicLSTMCell\"),a=v(t,\"lstmKernel\",\"basicLSTMCell\"),u=v(e,\"lstmBias\",\"basicLSTMCell\"),l=v(n,\"data\",\"basicLSTMCell\"),c=v(o,\"c\",\"basicLSTMCell\"),p=v(s,\"h\",\"basicLSTMCell\"),m=oe([l,p],1),f=Mt(m,a),d=Y(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Rt(d,[0,0],x),w=Rt(d,[0,g],x),C=Rt(d,[0,g*2],x),N=Rt(d,[0,g*3],x),_=Y(D(Qr(b),Di(w)),D(c,Qr(Y(i,C)))),A=D(Di(_),Qr(N));return[_,A]}var mE=T({basicLSTMCell_:TH});function kH(r,t,e){let n=v(r,\"x\",\"batchToSpaceND\"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(\" * \")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return k.runKernel(ui,s,i)}var Jl=T({batchToSpaceND_:kH});function fE(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function EH(r,t,e,n,o,s){s==null&&(s=.001);let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(a.rank===u.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),E(c==null||a.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),E(l==null||a.rank===l.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:fE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=k.runKernel(ns,m,f);return R(d,i.shape)}var Ri=T({batchNorm_:EH});function _H(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var ux=T({batchNorm2d_:_H});function AH(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var cx=T({batchNorm3d_:AH});function $H(r,t,e,n,o,s){let i=v(r,\"x\",\"batchNorm\"),a=v(t,\"mean\",\"batchNorm\"),u=v(e,\"variance\",\"batchNorm\"),l;o!=null&&(l=v(o,\"scale\",\"batchNorm\"));let c;return n!=null&&(c=v(n,\"offset\",\"batchNorm\")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var px=T({batchNorm4d_:$H});function DH(r,t,e){let n=v(r,\"x\",\"bincount\"),o=v(t,\"weights\",\"bincount\");E(n.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return k.runKernel(cp,s,i)}var mx=T({bincount_:DH});function RH(r,t){let e=v(r,\"s0\",\"broadcastArgs\",\"int32\"),n=v(t,\"s1\",\"broadcastArgs\",\"int32\");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return k.runKernel(pp,o)}var dE=T({broadcastArgs_:RH});function FH(r,t){let e=v(r,\"broadcastTo\",\"x\"),n=e.shape;if(Le(t),t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return an(e);let a={x:e},u={reps:s};return k.runKernel(Qn,a,u)}var Fi=T({broadcastTo_:FH});function OH(r){let e={x:v(r,\"x\",\"ceil\",\"float32\")};return k.runKernel(Ho,e)}var fx=T({ceil_:OH});function yo(r,t,e){Le(r);let n={shape:r,value:t,dtype:e};return k.runKernel(Fl,{},n)}function PH(r,t,e){let n=v(r,\"x\",\"clipByValue\");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return yo(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return k.runKernel(co,o,s)}var vr=T({clipByValue_:PH});function LH(r){return oe(r,0)}var dx=T({concat1d_:LH});function MH(r,t){return oe(r,t)}var hx=T({concat2d_:MH});function zH(r,t){return oe(r,t)}var gx=T({concat3d_:zH});function BH(r,t){return oe(r,t)}var xx=T({concat4d_:BH});function VH(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=v(r,\"x\",\"conv2d\",\"float32\"),u=v(t,\"filter\",\"conv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),ve(\"conv2d\",n,i);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E($r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E($i(s),()=>\"Error in conv2D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv2D: Strides should be larger than 0.\");let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(qo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var vn=T({conv2d_:VH});function GH(r,t,e,n,o=\"NWC\",s=1,i){let a=v(r,\"x\",\"conv1d\"),u=v(t,\"filter\",\"conv1d\"),l=a,c=!1;a.rank===2&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),ve(\"conv1d\",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E($r(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E($i(s),()=>\"Error in conv1D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv1D: Stride should be larger than 0.\"),E(o===\"NWC\",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=R(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=R(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=vn(m,p,[1,e],n,\"NHWC\",[1,s],i);return c?R(g,[g.shape[2],g.shape[3]]):R(g,[g.shape[0],g.shape[2],g.shape[3]])}var tm=T({conv1d_:GH});function WH(r,t,e,n,o,s=\"NHWC\",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s===\"NHWC\"?a[3]:a[1],p=s===\"NHWC\"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),ve(\"conv2dDerInput\",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=k.runKernel(Ko,m,f);return l?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var em=T({conv2DBackpropInput_:WH});function UH(r,t,e,n,o,s){let i=v(r,\"x\",\"conv2dTranspose\"),a=v(t,\"filter\",\"conv2dTranspose\");return em(e,i,a,n,o,\"NHWC\",s)}var rm=T({conv2dTranspose_:UH});function HH(r,t,e,n,o=\"NDHWC\",s=[1,1,1]){let i=v(r,\"x\",\"conv3d\"),a=v(t,\"filter\",\"conv3d\"),u=i,l=!1;i.rank===4&&(l=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E($r(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`),E($i(s),()=>\"Error in conv3D: Dilated rates should be larger than 0.\"),E($i(e),()=>\"Error in conv3D: Strides should be larger than 0.\");let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=k.runKernel(Dl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var yx=T({conv3d_:HH});function qH(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=k.runKernel(hp,c,p);return a?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var bx=T({conv3DBackpropInput_:qH});function KH(r,t,e,n,o){let s=v(r,\"x\",\"conv3dTranspose\"),i=v(t,\"filter\",\"conv3dTranspose\");return bx(e,s,i,n,o)}var wx=T({conv3dTranspose_:KH});function jH(r){let e={x:v(r,\"x\",\"cos\",\"float32\")};return k.runKernel(jo,e)}var Ql=T({cos_:jH});function XH(r){let e={x:v(r,\"x\",\"cosh\",\"float32\")};return k.runKernel(Xo,e)}var nm=T({cosh_:XH});function YH(r,t=0,e=!1,n=!1){let s={x:v(r,\"x\",\"cumprod\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(xa,s,i)}var Uu=T({cumprod_:YH});function ZH(r,t=0,e=!1,n=!1){let s={x:v(r,\"x\",\"cumsum\")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(Yo,s,i)}var om=T({cumsum_:ZH});function JH(r,t,e,n=!1){let o=v(r,\"x\",\"denseBincount\"),s=v(t,\"weights\",\"denseBincount\");E(o.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return k.runKernel(gp,i,a)}var ah=T({denseBincount_:JH});function QH(r,t,e=\"NHWC\"){let n=v(r,\"x\",\"depthToSpace\",\"float32\"),o=e===\"NHWC\"?n.shape[1]:n.shape[2],s=e===\"NHWC\"?n.shape[2]:n.shape[3],i=e===\"NHWC\"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${o} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${t} for depthToSpace with input shape\n ${n.shape}`),E(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let a={x:n},u={blockSize:t,dataFormat:e};return k.runKernel(ba,a,u)}var Cx=T({depthToSpace_:QH});function tq(r,t,e,n,o=\"NHWC\",s=[1,1],i){let a=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),u=v(t,\"filter\",\"depthwiseConv2d\",\"float32\"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${u.rank}.`);let p=o===\"NHWC\"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),ve(\"depthwiseConv2d\",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(Zo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Oi=T({depthwiseConv2d_:tq});function eq(r){let e={x:v(r,\"x\",\"diag\")};return k.runKernel(bp,e)}var hE=T({diag_:eq});function rq(r,t,e,n,o=[1,1],s=\"NHWC\"){let i=v(r,\"x\",\"dilation2d\"),a=v(t,\"filter\",\"dilation2d\");E(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),E(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),E(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let u=i,l=!1;i.rank===3&&(u=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0),E(u.shape[3]===a.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${u.shape[3]} vs ${a.shape[2]}`);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=k.runKernel(Rl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ix=T({dilation2d_:rq});var Wr={};Ut(Wr,{assertAndGetBroadcastShape:()=>Ot,getBroadcastDims:()=>gE,getReductionAxes:()=>xe});function gE(r,t){let e=r.length,n=[];for(let o=0;o1&&i===1&&n.unshift(s)}return n}function xe(r,t){let e=[];for(let n=0;n1)&&e.unshift(s)}return e}function Ot(r,t){let e=[],n=Math.max(r.length,t.length);for(let o=0;o`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${n.rank}.`);let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(E(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),e.rank===1&&n.rank===1){let i=R(e,[1,-1]),a=R(n,[-1,1]),u=Mt(i,a);return R(u,[])}else if(e.rank===1&&n.rank===2){let i=R(e,[1,-1]),a=R(n,[n.shape[0],n.shape[1]]),u=Mt(i,a);return R(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=R(n,[-1,1]),a=Mt(e,i);return R(a,[a.size])}else{let i=R(n,[n.shape[0],n.shape[1]]);return Mt(e,i)}}var Sx=T({dot_:aq});function lq(r,...t){let e=t.map((o,s)=>v(o,`tensors${s}`,\"einsum\")),n={equation:r};return k.runKernel(wp,e,n)}var xE=T({einsum_:lq});function uq(r){let e={x:v(r,\"x\",\"elu\",\"float32\")};return k.runKernel(Qo,e)}var Pi=T({elu_:uq});function cq(r){let t=v(r,\"x\",\"erf\");E(t.dtype===\"int32\"||t.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),t.dtype===\"int32\"&&(t=J(t,\"float32\"));let e={x:t};return k.runKernel(wa,e)}var Nx=T({erf_:cq});function U0(r,t){for(let e=0;er[s]);return[e,o]}function bo(r,t){let e=t.map(n=>1);return yE(r,e,t)}function pq(r,t,e){E(U0(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function q0(r,t){if(U0(r,t))return null;let e=[];for(let n=0;ne.push(n)),e}function lh(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function mq(r,t){let e=[];for(let n=t-r;n\"Axis must be <= rank of the tensor\");let n={input:e},o={dim:t};return k.runKernel(pi,n,o)}var ir=T({expandDims_:Iq});function vq(r){let e={x:v(r,\"x\",\"expm1\")};return k.runKernel(Ia,e)}var kx=T({expm1_:vq});function Sq(r,t){let e=v(r,\"x\",\"tile\",\"string_or_numeric\");E(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);let n={x:e},o={reps:t};return k.runKernel(Qn,n,o)}var Rr=T({tile_:Sq});function Nq(r,t,e,n=\"float32\"){t==null&&(t=r);let o=bt([r,t],n),s=r<=t?r:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),E(aa(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=R(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=k.runKernel(Ol,u,l);return a?R(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var $x=T({localResponseNormalization_:Lq});function Mq(r){let e={x:v(r,\"x\",\"log\",\"float32\")};return k.runKernel(as,e)}var Nr=T({log_:Mq});function zq(r){let e={x:v(r,\"x\",\"log1p\")};return k.runKernel(Aa,e)}var ru=T({log1p_:zq});function Bq(r){return E(ii(r),()=>\"The f passed in grad(f) must be a function\"),(t,e)=>{let n=v(t,\"x\",\"tf.grad\",\"string_or_numeric\"),o=e!=null?v(e,\"dy\",\"tf.grad\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(n),[n],o);return o!=null&&Re(s.shape,o.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),Rx(i),i[0]})}}function Vq(r){return E(ii(r),()=>\"The f passed in grads(f) must be a function\"),(t,e)=>{E(Array.isArray(t),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let n=Ya(t,\"args\",\"tf.grads\",\"string_or_numeric\"),o=e!=null?v(e,\"dy\",\"tf.grads\"):null;return k.tidy(()=>{let{value:s,grads:i}=k.gradients(()=>r(...n),n,o);return o!=null&&Re(s.shape,o.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Rx(i),i})}}function Gq(r){return E(ii(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(t,e)=>{E(t instanceof Ft,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:n,value:o}=k.gradients(()=>r(t),[t],e);return Rx(n),{grad:n[0],value:o}}}function Wq(r){return E(ii(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(t,e)=>{E(Array.isArray(t)&&t.every(o=>o instanceof Ft),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),E(e==null||e instanceof Ft,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let n=k.gradients(()=>r(...t),t,e);return e!=null&&Re(n.value.shape,e.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Rx(n.grads),n}}function Dx(r,t){E(ii(r),()=>\"The f passed in variableGrads(f) must be a function\"),E(t==null||Array.isArray(t)&&t.every(l=>l instanceof Xa),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let e=t!=null;if(!e){t=[];for(let l in k.registeredVariables)t.push(k.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),E(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);let s=!0,{value:i,grads:a}=k.gradients(r,t,null,s);E(a.some(l=>l!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),E(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function cn(r){return k.customGrad(r)}function Rx(r){if(r.filter(e=>e==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function Uq(r){let e={x:v(r,\"x\",\"neg\")};return k.runKernel(fi,e)}var qt=T({neg_:Uq});function Hq(r){let e={x:v(r,\"x\",\"softplus\")};return k.runKernel(Wa,e)}var Vs=T({softplus_:Hq});function qq(r){let t=v(r,\"x\",\"logSigmoid\");return cn(n=>({value:qt(Vs(qt(n))),gradFunc:i=>D(i,Qr(qt(n)))}))(t)}var Fx=T({logSigmoid_:qq});function Kq(r,t){let e=v(r,\"a\",\"sub\"),n=v(t,\"b\",\"sub\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Os,o)}var lt=T({sub_:Kq});function jq(r,t=-1){let e=v(r,\"logits\",\"logSoftmax\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return cn((o,s)=>{let a=Sr(o,t,!0),u=lt(o,a),l=lt(J(u,\"float32\"),Nr(mt(sr(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=sr(f);return lt(p,D(mt(p,t,d),h))}}})(e)}var im=T({logSoftmax_:jq});function Xq(r,t=null,e=!1){let n=v(r,\"x\",\"logSumExp\"),o=pr(t,n.shape),s=Sr(n,o,!0),i=lt(n,s),a=sr(i),u=mt(a,o),l=Nr(u),c=Y(R(s,l.shape),l);if(e){let p=bo(c.shape,o);return R(c,p)}return c}var am=T({logSumExp_:Xq});function Yq(r,t){let e=v(r,\"a\",\"logicalAnd\",\"bool\"),n=v(t,\"b\",\"logicalAnd\",\"bool\");Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel($a,o)}var Fr=T({logicalAnd_:Yq});function Zq(r){let e={x:v(r,\"x\",\"logicalNot\",\"bool\")};return k.runKernel(Da,e)}var nu=T({logicalNot_:Zq});function Jq(r,t){let e=v(r,\"a\",\"logicalOr\",\"bool\"),n=v(t,\"b\",\"logicalOr\",\"bool\");Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Ra,o)}var lm=T({logicalOr_:Jq});function Qq(r,t){let e=v(r,\"a\",\"logicalXor\",\"bool\"),n=v(t,\"b\",\"logicalXor\",\"bool\");return Ot(e.shape,n.shape),Fr(lm(r,t),nu(Fr(r,t)))}var Ox=T({logicalXor_:Qq});var Px=2147483648;function tK(r,t,e=\"left\"){let n=v(r,\"sortedSequence\",\"searchSorted\"),o=v(t,\"values\",\"searchSorted\"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=R(n,[-1,s]),u=R(o,[-1,i]);if(a.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(a.shape[0]!==u.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(Jt(u.shape)>=Px)throw new Error(`values tensor size must less than ${Px}`);if(a.shape[1]>=Px)throw new Error(`trailing dim_size must less than ${Px} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return k.runKernel(Lp,l,c)}var uh=T({searchSorted_:tK});function CE(r,t){return uh(r,t,\"left\")}function eK(r,t,e,n,o){let s=v(r,\"x\",\"maxPool\"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),E($r(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),ve(\"maxPool\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(cs,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ou=T({maxPool_:eK});function rK(r,t=[1,1,1],e,n,o,s=\"NDHWC\"){let i=v(r,\"x\",\"maxPool3d\"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),ve(\"maxPool3d\",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Pl,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Lx=T({maxPool3d_:rK});function nK(r,t,e,n,o=!1){let i={x:v(r,\"x\",\"maxPoolWithArgmax\")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=k.runKernel(_p,i,a);return{result:u[0],indexes:u[1]}}var IE=T({maxPoolWithArgmax_:nK});function oK(r,t){let e=v(r,\"a\",\"maximum\"),n=v(t,\"b\",\"maximum\");[e,n]=Ht(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(us,o)}var Sn=T({maximum_:oK});function sK(r,t=null,e=!1){let o={x:v(r,\"x\",\"mean\")},s={axis:t,keepDims:e};return k.runKernel(ps,o,s)}var Ne=T({mean_:sK});function Te(r,t=\"float32\"){if(Le(r),t===\"complex64\"){let n=Te(r,\"float32\"),o=Te(r,\"float32\");return In(n,o)}let e=ap(Jt(r),t);return k.makeTensor(e,r,t)}function fr(r,t=\"float32\"){if(Le(r),t===\"complex64\"){let n=fr(r,\"float32\"),o=Te(r,\"float32\");return In(n,o)}let e=Ud(Jt(r),t);return k.makeTensor(e,r,t)}function vE(r,t,{indexing:e=\"xy\"}={}){if(e!==\"xy\"&&e!==\"ij\")throw new TypeError(`${e} is not a valid third argument to meshgrid`);if(r===void 0)return[];let n=v(r,\"x\",\"meshgrid\",r instanceof Ft?r.dtype:\"float32\");if(t===void 0)return[n];let o=v(t,\"y\",\"meshgrid\",t instanceof Ft?t.dtype:\"float32\"),s=Jt(n.shape),i=Jt(o.shape);return e===\"xy\"?(n=R(n,[1,-1]),o=R(o,[-1,1]),[Mt(fr([i,1],n.dtype),n),Mt(o,fr([1,s],o.dtype))]):(n=R(n,[-1,1]),o=R(o,[1,-1]),[Mt(n,fr([1,i],n.dtype)),Mt(fr([s,1],o.dtype),o)])}function iK(r,t){let e=v(r,\"a\",\"minimum\"),n=v(t,\"b\",\"minimum\");[e,n]=Ht(e,n),e.dtype===\"bool\"&&(e=J(e,\"int32\"),n=J(n,\"int32\")),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(fs,o)}var zi=T({minimum_:iK});function aK(r,t,e){E(e===\"reflect\"||e===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);let n=v(r,\"x\",\"mirrorPad\");if(n.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");E(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let o=e===\"reflect\"?1:0;for(let a=0;a\"Invalid number of paddings. Must be length of 2 each.\"),E(t[a][0]>=0&&t[a][0]<=n.shape[a]-o&&t[a][1]>=0&&t[a][1]<=n.shape[a]-o,()=>`Padding in dimension ${a} cannot be greater than or equal to ${n.shape[a]-o} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:e},i={x:n};return k.runKernel(ds,i,s)}var Mx=T({mirrorPad_:aK});function lK(r,t){let e=v(r,\"a\",\"mod\"),n=v(t,\"b\",\"mod\");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Fa,o)}var zx=T({mod_:lK});function uK(r,t=null,e=!1){r=v(r,\"x\",\"moments\");let n=pr(t,r.shape),o=Ne(r,n,e),s=o.shape;e||(s=bo(o.shape,n));let i=zt(lt(J(r,\"float32\"),R(o,s))),a=Ne(i,n,e);return{mean:o,variance:a}}var qu=T({moments_:uK});function cK(r,t,e,n){let o=v(t,\"data\",\"multiRNNCell\"),s=Ya(e,\"c\",\"multiRNNCell\"),i=Ya(n,\"h\",\"multiRNNCell\"),a=o,u=[];for(let p=0;p2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);e=e||Math.random();let u={logits:i===1?R(o,[1,-1]):o},l={numSamples:t,seed:e,normalized:n},c=k.runKernel(Ap,u,l);return i===1?R(c,[c.size]):c}var NE=T({multinomial_:pK});function mK(r,t){let e=v(r,\"a\",\"notEqual\",\"string_or_numeric\"),n=v(t,\"b\",\"notEqual\",\"string_or_numeric\");[e,n]=Ht(e,n),Ot(e.shape,n.shape);let o={a:e,b:n};return k.runKernel(Oa,o)}var Gs=T({notEqual_:mK});function fK(r,t,e=1,n=0,o=\"int32\"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let i={indices:v(r,\"indices\",\"oneHot\",\"int32\")},a={dtype:o,depth:t,onValue:e,offValue:n};return k.runKernel(gs,i,a)}var Bi=T({oneHot_:fK});function dK(r){let e={x:v(r,\"x\",\"onesLike\")};return k.runKernel(di,e)}var wr=T({onesLike_:dK});function hK(r,t){let e=v(r,\"v1\",\"outerProduct\"),n=v(t,\"v2\",\"outerProduct\");E(e.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${e.rank} and ${n.rank}.`);let o=R(e,[-1,1]),s=R(n,[1,-1]);return Mt(o,s)}var TE=T({outerProduct_:hK});function gK(r,t,e=0){let n=v(r,\"x\",\"pad\");if(n.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let o={paddings:t,constantValue:e},s={x:n};return k.runKernel(xs,s,o)}var pn=T({pad_:gK});function xK(r,t,e=0){return E(t.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),pn(r,[t],e)}var kE=T({pad1d_:xK});function yK(r,t,e=0){return E(t.length===2&&t[0].length===2&&t[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var EE=T({pad2d_:yK});function bK(r,t,e=0){return E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var _E=T({pad3d_:bK});function wK(r,t,e=0){return E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),pn(r,t,e)}var AE=T({pad4d_:wK});function CK(r,t,e){let n=v(r,\"x\",\"spaceToBatchND\");E(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),E(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),E(n.shape.reduce((i,a,u)=>u>0&&u<=t.length?i&&(a+e[u-1][0]+e[u-1][1])%t[u-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);let o={x:n},s={blockShape:t,paddings:e};return k.runKernel(bi,o,s)}var su=T({spaceToBatchND_:CK});function IK(r,t,e,n,o,s,i){o==null&&(o=[1,1]),s==null&&(s=1),n===0&&(n=\"valid\");let a=v(r,\"x\",\"maxPool\"),u=a,l=!1;a.rank===3&&(l=!0,u=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E($r(s,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${o}'`);let c=G0(u.shape,t,s,o,n),p=[c.dilationHeight,c.dilationWidth],m;n===\"same\"?m=SK([c.filterHeight,c.filterWidth],p):m=[[0,0],[0,0]];let f=p[0]===1&&p[1]===1,[d,h]=vK([c.inHeight,c.inWidth],p,m),g=f?n:\"valid\",x=f?u:su(u,p,d),w=(e===\"avg\"?()=>Zl(x,t,s,g,i):()=>ou(x,t,s,g,i))(),C=f?w:Jl(w,p,h);return l?R(C,[C.shape[1],C.shape[2],C.shape[3]]):C}function vK(r,t,e){let n=e.map(c=>c[0]),o=e.map(c=>c[1]),s=r.concat(n,o),i=t.map((c,p)=>(c-s[p]%c)%c),a=o.map((c,p)=>c+i[p]),u=t.map((c,p)=>[n[p],a[p]]),l=t.map((c,p)=>[0,i[p]]);return[u,l]}function SK(r,t){let n=r.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=n.map(i=>Math.floor(i/2)),s=n.map((i,a)=>i-o[a]);return n.map((i,a)=>[o[a],s[a]])}var Bx=T({pool_:IK});function NK(r,t){let e=v(r,\"x\",\"prelu\"),n=v(t,\"alpha\",\"prelu\"),o={x:e,alpha:n};return k.runKernel(bs,o)}var iu=T({prelu_:NK});function TK(r,t=null,e=!1){let n=v(r,\"x\",\"prod\");n.dtype===\"bool\"&&(n=J(n,\"int32\"));let o={x:n},s={axis:t,keepDims:e};return k.runKernel(ws,o,s)}var Vx=T({prod_:TK});function kK(r,t,e,n){let o=r.map((c,p)=>v(c,`tensors${p}`,\"raggedGather\",\"int32\")),s=v(t,\"paramsDenseValues\",\"raggedGather\"),i=v(e,\"indices\",\"raggedGather\",\"int32\"),a={paramsNestedSplits:o,paramsDenseValues:s,indices:i},u={outputRaggedRank:n},l=k.runKernel($p,a,u);return{outputNestedSplits:l.slice(0,l.length-1),outputDenseValues:l[l.length-1]}}var $E=T({raggedGather_:kK});function EK(r,t,e){let n=v(r,\"starts\",\"raggedRange\"),o=v(t,\"limits\",\"raggedRange\",n.dtype),s=v(e,\"deltas\",\"raggedRange\",n.dtype),i={starts:n,limits:o,deltas:s},a=k.runKernel(Dp,i);return{rtNestedSplits:a[0],rtDenseValues:a[1]}}var DE=T({raggedRange_:EK});function _K(r,t,e,n,o){let s=v(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),i=v(t,\"values\",\"raggedTensorToTensor\"),a=v(e,\"defaultValue\",\"raggedTensorToTensor\",i.dtype),u=n.map((p,m)=>v(p,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),l={shape:s,values:i,defaultValue:a,rowPartitionTensors:u},c={rowPartitionTypes:o};return k.runKernel(Rp,l,c)}var RE=T({raggedTensorToTensor_:_K});function AK(r,t,e){Le(r);let n=Jt(r),o=null;if(e==null||e===\"float32\")o=new Float32Array(n);else if(e===\"int32\")o=new Int32Array(n);else if(e===\"bool\")o=new Uint8Array(n);else throw new Error(`Unknown data type ${e}`);for(let s=0;sZE,createVideoElement:()=>WK,encodeStrings:()=>QE,expectArrayBuffersEqual:()=>GK,expectArraysClose:()=>MK,expectArraysEqual:()=>BK,expectNumbersClose:()=>JE,expectPromiseToFail:()=>zK,expectValuesInRange:()=>VK,play:()=>UK,testEpsilon:()=>Wx});var LK=.001,ZE=.1;function MK(r,t,e){return e==null&&(e=Wx()),tS(r,t,(n,o)=>eS(n,o,e))}function Wx(){return k.backend.floatPrecision()===32?LK:ZE}function tS(r,t,e){let n=!0;if((mr(r)||mr(t))&&(n=!1),mr(r)&&mr(t)&&(n=!0),n){let i=r.constructor.name,a=t.constructor.name;if(i!==a)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${a}`)}if(Array.isArray(r)&&Array.isArray(t)){let i=Gr(r),a=Gr(t);if(!Fn(i,a))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${a}]`)}let o=mr(r)?r:zs(r),s=mr(t)?t:zs(t);if(o.length!==s.length)throw new Error(`Arrays have different lengths actual: ${o.length} vs expected: ${s.length}.\nActual: ${o}.\nExpected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!=\"undefined\"&&expect().nothing()}function BK(r,t){let e=typeof t==\"string\"||typeof t==\"number\"||typeof t==\"boolean\"?[t]:t;return Bo(r)||Bo(r[0])||Bo(t)||Bo(t[0])?tS(r,e,(n,o)=>n==o):tS(r,t,(n,o)=>eS(n,o,0))}function JE(r,t,e){if(e==null&&(e=Wx()),!eS(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!=\"undefined\"&&expect().nothing()}function eS(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function VK(r,t,e){for(let n=0;ne)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function GK(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o{t.addEventListener(\"loadeddata\",n=>e(t)),t.load()})}async function UK(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var ju=class{constructor(t,e,n,o,s){this.mean=t,this.stdDev=e,this.dtype=n,this.nextVal=NaN,this.truncated=o,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let i=s||Math.random();this.random=qx.alea(i.toString())}nextValue(){if(!isNaN(this.nextVal)){let o=this.nextVal;return this.nextVal=NaN,o}let t,e,n=!1;for(;!n;){let o,s,i;do o=2*this.random()-1,s=2*this.random()-1,i=o*o+s*s;while(i>=1||i===0);let a=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*a,e=this.mean+this.stdDev*s*a,(!this.truncated||this.isValidTruncated(t))&&(n=!0)}return(!this.truncated||this.isValidTruncated(e))&&(this.nextVal=this.convertValue(e)),this.convertValue(t)}convertValue(t){return this.dtype==null||this.dtype===\"float32\"?t:Math.round(t)}isValidTruncated(t){return t<=this.upper&&t>=this.lower}},Ux=class{constructor(t,e,n,o){this.alpha=t,this.beta=1/e,this.dtype=n;let s=o||Math.random();this.randu=qx.alea(s.toString()),this.randn=new ju(0,1,n,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let t,e,n,o,s,i;for(;;){do o=this.randn.nextValue(),i=1+this.c*o;while(i<=0);if(i*=i*i,t=o*o,e=1-.331*t*t,n=.5*t+this.d*(1-i+Math.log(i)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=t,this.range=e-t,this.dtype=n,o==null&&(o=Math.random()),typeof o==\"number\"&&(o=o.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${t} - ${e} <= 1 and dtype is not float`);this.random=qx.alea(o)}convertValue(t){return this.canReturnFloat()?t:Math.round(t)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function HK(r,t,e=1,n=\"float32\",o){if(Le(r),e==null&&(e=1),n==null&&(n=\"float32\"),n!==\"float32\"&&n!==\"int32\")throw new Error(`Unsupported data type ${n}`);let s=new Ux(t,e,n,o),i=bt(r,n);for(let a=0;a`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),dr(t,0)}var n_=T({reverse1d_:tj});function ej(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${e.rank}.`),dr(e,t)}var o_=T({reverse2d_:ej});function rj(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${e.rank}.`),dr(e,t)}var s_=T({reverse3d_:rj});function nj(r,t){let e=v(r,\"x\",\"reverse\");return E(e.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${e.rank}.`),dr(e,t)}var i_=T({reverse4d_:nj});function oj(r){let e={x:v(r,\"x\",\"round\")};return k.runKernel(ks,e)}var cm=T({round_:oj});function sj(r){let e={x:v(r,\"x\",\"rsqrt\",\"float32\")};return k.runKernel(Es,e)}var pm=T({rsqrt_:sj});function ij(r){let e={x:v(r,\"x\",\"selu\")};return k.runKernel(Ba,e)}var mm=T({selu_:ij});function aj(r,t,e,n,o,s=[1,1],i=\"NHWC\"){let a=v(r,\"x\",\"separableConv2d\"),u=v(t,\"depthwiseFilter\",\"separableConv2d\"),l=v(e,\"pointwiseFilter\",\"separableConv2d\"),c=a,p=!1;if(a.rank===3&&(p=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),i===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");E(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),E(u.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${u.rank}.`),E(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),E(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);let m=u.shape[2],f=u.shape[3];E(l.shape[2]===m*f,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*f}, but got ${l.shape[2]}.`);let d=Oi(c,u,n,o,i,s),g=vn(d,l,1,\"valid\",i);return p?R(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var fm=T({separableConv2d_:aj});async function lj(r,t){let e=v(r,\"x\",\"setdiff1d\"),n=v(t,\"y\",\"setdiff1d\");E(e.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${e.dtype}) and y (${n.dtype}).`),E(e.rank===1,()=>`x should be 1D tensor, but got x (${e.shape}).`),E(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let o=await e.data(),s=await n.data(),i=new Set(s),a=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Rt(n,[t],[e])}var gm=T({slice1d_:mj});function fj(r,t,e){let n=v(r,\"x\",\"slice2d\");return E(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var ph=T({slice2d_:fj});function dj(r,t,e){let n=v(r,\"x\",\"slice3d\");return E(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var xm=T({slice3d_:dj});function hj(r,t,e){let n=v(r,\"x\",\"slice4d\");return E(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Rt(n,t,e)}var Yu=T({slice4d_:hj});function gj(r,t=-1){let e=v(r,\"logits\",\"softmax\",\"float32\");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);let n={logits:e},o={dim:t};return k.runKernel(Rs,n,o)}var au=T({softmax_:gj});function xj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(Ip,t)}var lu=T({fft_:xj});function yj(r){E(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let t={input:r};return k.runKernel(vp,t)}var el=T({ifft_:yj});function bj(r){let t=r.shape[r.shape.length-1],e=r.size/t,n;if(t<=2){let o=R(r,[e,t]);n=el(o)}else{let o=[e,2*(t-1)],s=R(tl(r),[e,t]),i=R(tu(r),[e,t]),a=dr(Rt(s,[0,1],[e,t-2]),1),u=D(dr(Rt(i,[0,1],[e,t-2]),1),pt(-1)),l=oe([s,a],1),c=oe([i,u],1),p=R(In(l,c),[o[0],o[1]]);n=el(p)}if(n=tl(n),r.rank===3&&r.shape[0]!==0){let o=n,s=r.shape[0];n=R(n,[s,n.shape[0]/s,n.shape[1]]),o.dispose()}return n}var ym=T({irfft_:bj});function wj(r,t,e=0){let o={x:v(r,\"x\",\"split\")},s={numOrSizeSplits:t,axis:e};return k.runKernel(wi,o,s)}var hr=T({split_:wj});function Cj(r,t){E(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let e=r.shape[r.shape.length-1],n=r.size/e,o;if(t!=null&&t0),h=r.shape.map(g=>g);h[r.shape.length-1]=t,o=Rt(r,d,h),e=t}else if(t!=null&&t>e){let d=r.shape.map(h=>h);d[r.shape.length-1]=t-e,o=oe([r,Te(d)],r.shape.length-1),e=t}else o=r;let s=It(o),i=R(In(o,s),[n,e]),a=lu(i),u=Math.floor(e/2)+1,l=tl(a),c=tu(a),p=hr(l,[u,e-u],l.shape.length-1),m=hr(c,[u,e-u],c.shape.length-1),f=o.shape.slice();return f[o.shape.length-1]=u,R(In(p[0],m[0]),f)}var uu=T({rfft_:Cj});function Ij(r,t){let e=v(r,\"a\",\"squaredDifference\"),n=v(t,\"b\",\"squaredDifference\");[e,n]=Ht(e,n),Ot(e.shape,n.shape);let o={a:e,b:n},s={};return k.runKernel(Fs,o,s)}var bm=T({squaredDifference_:Ij});function vj(r,t){let e=v(r,\"x\",\"squeeze\",\"string_or_numeric\");return R(e,n0(e.shape,t).newShape)}var zn=T({squeeze_:vj});function Sj(r,t=0){let e=Ya(r,\"tensors\",\"stack\",\"string_or_numeric\");E(e.length>=1,()=>\"Pass at least one tensor to tf.stack\"),e.length>0&&E(t<=e[0].rank,()=>\"Axis must be <= rank of the tensor\");let n=e,o={axis:t};return k.runKernel(hi,n,o)}var qe=T({stack_:Sj});function Nj(r,t=0){let n={x:v(r,\"x\",\"step\")},o={alpha:t};return k.runKernel(mo,n,o)}var wo=T({step_:Nj});function Tj(r,t,e,n,o=0,s=0,i=0,a=0,u=0){let c={x:v(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},p={begin:t,end:e,strides:n,beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};return k.runKernel(Ha,c,p)}var Xx=T({stridedSlice_:Tj});function kj(r){let e={x:v(r,\"x\",\"tan\",\"float32\")};return k.runKernel(Ps,e)}var Yx=T({tan_:kj});function Ke(r,t){Zn(r);let e=Gr(r,t);if(e.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return sn(r,null,e,t)}function Ws(r,t,e){if(Zn(r),t!=null&&t.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let n=Gr(r,e);if(n.length!==2&&n.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return sn(r,t,n,e)}function Zx(r,t,e){if(Zn(r),t!=null&&t.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let n=Gr(r,e);if(n.length!==3&&n.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function l_(r,t,e){if(Zn(r),t!=null&&t.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let n=Gr(r,e);if(n.length!==4&&n.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function u_(r,t,e){if(Zn(r),t!=null&&t.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let n=Gr(r,e);if(n.length!==5&&n.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return sn(r,t,n,e)}function c_(r,t,e){if(Zn(r),t!=null&&t.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let n=Gr(r,e);if(n.length!==6&&n.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(n.length===1&&t==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return t=t||n,sn(r,t,n,e)}function Ej(r,t=1,e=!0){let n=v(r,\"x\",\"topk\");if(n.rank===0)throw new Error(\"topk() expects the input to be of rank 1 or higher\");let o=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);let s={x:n},i={k:t,sorted:e},[a,u]=k.runKernel(qa,s,i);return{values:a,indices:u}}var Jx=T({topk_:Ej});function _j(r,t=0,e=1,n,o){if(Le(r),n!=null&&n===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new ju(t,e,n,!0,o),i=bt(r,n);for(let a=0;a0,()=>\"The input tensor must be at least 1D\");let n={x:e},o={axis:t},[s,i]=k.runKernel(zp,n,o);return{values:s,indices:i}}var Qx=T({unique_:Aj});function $j(r,t,e){let n=v(r,\"x\",\"unsortedSegmentSum\"),o=v(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");E(aa(e),()=>\"numSegments must be of dtype int\");let s={x:n,segmentIds:o},i={numSegments:e};return k.runKernel(Hl,s,i)}var Cm=T({unsortedSegmentSum_:$j});function Dj(r,t=0){let e=v(r,\"x\",\"unstack\",\"string_or_numeric\");E(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);let n={value:e},o={axis:t};return k.runKernel(Ci,n,o)}var gr=T({unstack_:Dj});function p_(r,t){return uh(r,t,\"right\")}function ty(r,t=!0,e,n){return k.makeVariable(r,t,e,n)}function ey(r,t){let e=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),Re(a.slice(s,s+i),o.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let u=1;for(let h=s;ha).reverse()),E(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{E(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let o={x:n},s={perm:t};return n.dtype===\"complex64\"?B(()=>{let i=tl(n),a=tu(n);return i=k.runKernel(to,{x:i},s),a=k.runKernel(to,{x:a},s),e&&(a=qt(a)),In(i,a)}):k.runKernel(to,o,s)}var Pt=T({transpose_:Pj});function Lj(r,t,e,n,o=!0){let s=v(r,\"v\",\"movingAverage\"),i=v(t,\"x\",\"movingAverage\"),a=v(e,\"decay\",\"movingAverage\");N0(s,i),E(Fn(s.shape,i.shape),()=>\"Shape mismatch in v and x\");let u=pt(1),l=lt(u,a),c=D(lt(i,s),l);if(o){E(n!=null,()=>\"When using zeroDebias: true, step is required.\");let p=v(n,\"step\",\"movingAverage\");c=ut(c,lt(u,ln(a,p)))}return Y(s,c)}var Mj=T({movingAverage_:Lj});var mh={};Ut(mh,{calculateShapes:()=>m_,validateInput:()=>ny,validateUpdateShape:()=>rS});function rS(r,t,e){let n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${e.shape}, indices.shape: ${t.shape}, shape: ${r}, sliceDim: ${n}, and batchDim: ${o}.`;if(e.rank1?t.shape[n-1]:1,s=e.length,i=1;for(let p=o;p2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let o=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(e.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${e.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===o))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${o}]`);if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function Gj(r,t,e,n=0){Le(e);let o=v(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=v(t,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),i=v(n,\"defaultValue\",\"sparseToDense\",s.dtype);f_(o,s,e,i);let a={sparseIndices:o,sparseValues:s,defaultValue:i},u={outputShape:e};return k.runKernel(Mp,a,u)}var Wj=T({sparseToDense_:Gj});function Uj(r,t){let e=v(t,\"indices\",\"gatherND\",\"int32\"),o={params:v(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:e};return k.runKernel(Sa,o)}var Hj=T({gatherND_:Uj});function d_(r,t){if(t==null)return r.shape.slice();if(Fn(r.shape,t))return t;if(r.shape.length===t.length){let e=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),E(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return r instanceof Ft?o.clone():o;let s=d_(o,e),i=1-t,a=ut(Li(Y(Vi(s,0,1,\"float32\",n),i)),i);return D(o,a)}var nS=T({dropout_:qj});function oS(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function fh(r,t,e){let n=1-r%2,o=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),E(n.rank-1===o.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${o.rank}`),Re(n.shape.slice(0,n.shape.length-1),o.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=n.shape[n.shape.length-1];E(e>0&&e<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${e}`);let i=await n.data(),a=await o.data(),[u,l]=[i.length/s,s],c=o0(\"bool\",u);for(let p=0;pg.value-h.value),c[p]=0;for(let h=0;hh_,depthwiseConv2d:()=>g_,matMul:()=>x_});function Xj(r,t,e,n,o,s=\"NHWC\",i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),E(u.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${u.shape}.`),E(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);let l=s===\"NHWC\"?a.shape[3]:a.shape[1],c=s===\"NHWC\"?u.shape[3]:u.shape[1];E(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),E(c===e[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${e[3]}).`),ve(\"conv2dDerFilter\",o,i);let p={x:a,dy:u},m={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,filterShape:e};return k.runKernel(fp,p,m)}var Im=T({conv2DBackpropFilter_:Xj});function Zu(r,t,e){if(e==null||e===\"linear\")return r;if(e===\"relu\")return D(r,wo(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function Ju(r,t){let e=t,n=xe(r.shape,t.shape);return n.length>0&&(e=mt(e,n)),R(e,r.shape)}function Qu(r,t,e,n){if(t===\"linear\")return r;if(t===\"relu\")return Or(r);if(t===\"elu\")return Pi(r);if(t===\"relu6\")return um(r);if(t===\"prelu\")return iu(r,e);if(t===\"leakyrelu\")return eu(r,n);if(t===\"sigmoid\")return Qr(r);throw new Error(`Unknown fused activation ${t}.`)}var tc=(r,t)=>!(r>0)||t===\"linear\";function Yj({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(u=u||\"linear\",tc(k.state.gradientDepth,u)===!1){E(o===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=vn(r,t,e,n,o,s,i);return a!=null&&(_=Y(_,a)),Qu(_,u,l,c)}let p=v(r,\"x\",\"conv2d\",\"float32\"),m=v(t,\"filter\",\"conv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),ve(\"fused conv2d\",n,i);let h=o===\"NHWC\"?f.shape[3]:f.shape[1];E(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),E($r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`);let g=Wu(f.shape,m.shape,e,s,n,i),x;a!=null&&(x=v(a,\"bias\",\"fused conv2d\"),[x]=Ht(x,p),o===\"NHWC\"?Ot(g.outShape,x.shape):(E(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),E(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(l!=null){let _=l.shape;if(E(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)E(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Ot(_,g.outShape)}catch(A){let $=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error($)}b=v(l,\"prelu weights\",\"fused conv2d\")}let w=(_,A)=>{E(o===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);let[$,F,P,V]=A,G=Zu(_,P,u);E(ro(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let W=em(F.shape,G,$,e,n),q=Im(F,G,$.shape,e,n),H=[W,q];if(V!=null){let K=Ju(V,G);H.push(K)}return H},C={x:f,filter:m,bias:x,preluActivationWeights:b},N={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?cn((A,$,F)=>{let P=k.runKernel(Si,C,N);return F([$,A,P]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:w}})(f,m):cn((A,$,F,P)=>{let V=k.runKernel(Si,C,N);return P([$,A,V,F]),d&&(V=R(V,[V.shape[1],V.shape[2],V.shape[3]])),{value:V,gradFunc:w}})(f,m,x)}var h_=T({fusedConv2d_:Yj});function Zj(r,t,e,n,o,s=[1,1],i){let a=r;r.rank===3&&(a=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let u=t;u.rank===3&&(u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={x:a,dy:u},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,filterShape:e};return k.runKernel(xp,l,c)}var oy=T({depthwiseConv2dNativeBackpropFilter_:Zj});function Jj(r,t,e,n,o,s=[1,1],i){let a=t,u=!1;t.rank===3&&(u=!0,a=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let l={dy:a,filter:e},c={strides:n,pad:o,dimRoundingMode:i,dilations:s,inputShape:r},p=k.runKernel(yp,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var sy=T({depthwiseConv2dNativeBackpropInput_:Jj});function Qj({x:r,filter:t,strides:e,pad:n,dataFormat:o=\"NHWC\",dilations:s=[1,1],dimRoundingMode:i,bias:a,activation:u=\"linear\",preluActivationWeights:l,leakyreluAlpha:c}){if(tc(k.state.gradientDepth,u)===!1){let N=Oi(r,t,e,n,o,s,i);return a!=null&&(N=Y(N,a)),Qu(N,u,l,c)}let p=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=v(t,\"filter\",\"depthwiseConv2d\",\"float32\"),f=p,d=!1;p.rank===3&&(d=!0,f=R(p,[1,p.shape[0],p.shape[1],p.shape[2]])),E(f.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${f.rank}.`),E(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),E(f.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${f.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),E($r(e,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),ve(\"fused depthwiseConv2d\",n,i);let h=Wu(f.shape,m.shape,e,s,n,i,!0),g;a!=null&&(g=v(a,\"bias\",\"fused conv2d\"),[g]=Ht(g,p),Ot(h.outShape,g.shape));let x;l!=null&&(x=v(l,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(N,_)=>{E(ro(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[A,$,F,P]=_,V=Zu(N,F,u),G=sy($.shape,V,A,e,n,s,i),W=oy($,V,A.shape,e,n,s,i);if(P!=null){let q=Ju(g,V);return[G,W,q]}return[G,W]},w={x:f,filter:m,bias:g,preluActivationWeights:x},C={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i,activation:u,leakyreluAlpha:c};return a==null?cn((_,A,$)=>{let F=k.runKernel(Ni,w,C);return $([A,_,F]),d&&(F=R(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(f,m):cn((_,A,$,F)=>{let P=k.runKernel(Ni,w,C);return F([A,_,P,$]),d&&(P=R(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:b}})(f,m,g)}var g_=T({fusedDepthwiseConv2d_:Qj});function t6({a:r,b:t,transposeA:e=!1,transposeB:n=!1,bias:o,activation:s=\"linear\",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(tc(k.state.gradientDepth,s)===!1){let V=Mt(r,t,e,n);return o!=null&&(V=Y(V,o)),Qu(V,s,i,a)}let u=v(r,\"a\",\"fused matMul\"),l=v(t,\"b\",\"fused matMul\");[u,l]=Ht(u,l);let c=e?u.shape[u.rank-2]:u.shape[u.rank-1],p=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=e?u.shape[u.rank-1]:u.shape[u.rank-2],f=n?l.shape[l.rank-2]:l.shape[l.rank-1],d=u.shape.slice(0,-2),h=l.shape.slice(0,-2),g=Jt(d),x=Jt(h);E(c===p,()=>`Error in fused matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${u.shape} and ${l.shape} and transposeA=${e} and transposeB=${n} must match.`);let w=Ot(u.shape.slice(0,-2),l.shape.slice(0,-2)).concat([m,f]),C=e?R(u,[g,c,m]):R(u,[g,m,c]),N=n?R(l,[x,f,p]):R(l,[x,p,f]),_;o!=null&&(_=v(o,\"bias\",\"fused matMul\"),[_]=Ht(_,u),Ot(w,_.shape));let A;i!=null&&(A=v(i,\"prelu weights\",\"fused matMul\"));let $=(V,G)=>{let[W,q,H,K]=G,X=Zu(R(V,H.shape),H,s),Z,et;if(!e&&!n?(Z=Mt(X,q,!1,!0),et=Mt(W,X,!0,!1)):!e&&n?(Z=Mt(X,q,!1,!1),et=Mt(X,W,!0,!1)):e&&!n?(Z=Mt(q,X,!1,!0),et=Mt(W,X,!1,!1)):(Z=Mt(q,X,!0,!0),et=Mt(X,W,!0,!0)),o!=null){let rt=Ju(K,X);return[Z,et,rt]}else return[Z,et]},F={a:C,b:N,bias:_,preluActivationWeights:A},P={transposeA:e,transposeB:n,activation:s,leakyreluAlpha:a};return o==null?cn((G,W,q)=>{let H=k.runKernel(vi,F,P);return q([G,W,H]),{value:R(H,w),gradFunc:$}})(C,N):cn((G,W,q,H)=>{let K=k.runKernel(vi,F,P);return H([G,W,K,q]),{value:R(K,w),gradFunc:$}})(C,N,_)}var x_=T({fusedMatMul_:t6});function e6(r){return fh(r,.54,.46)}var y_=T({hammingWindow_:e6});function r6(r){return fh(r,.5,.5)}var iy=T({hannWindow_:r6});function n6(r,t,e,n=!1,o=0){let s=0,i=[];for(;s+t<=r.size;)i.push(Rt(r,s,t)),s+=e;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),E(u.rank===1&&u.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),E(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),E(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),E(o===\"bilinear\"||o===\"nearest\",()=>`method must be bilinear or nearest, but was ${o}`);let c={image:i,boxes:a,boxInd:u},p={method:o,extrapolationValue:s,cropSize:n};return k.runKernel(ya,c,p)}var w_=T({cropAndResize_:s6});function i6(r){let t=v(r,\"image\",\"flipLeftRight\",\"float32\");E(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let e={image:t};return k.runKernel(va,e,{})}var C_=T({flipLeftRight_:i6});function a6(r){let t=v(r,\"image\",\"grayscaleToRGB\"),e=t.rank-1,n=t.shape[e];E(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),E(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,Rr(t,o)}var I_=T({grayscaleToRGB_:a6});function l6(r,t,e=0,n=.5){let o=v(r,\"image\",\"rotateWithOffset\",\"float32\");E(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);let s={image:o},i={radians:t,fillValue:e,center:n};return k.runKernel(ja,s,i)}var v_=T({rotateWithOffset_:l6});function Co(r,t,e,n,o,s){n==null&&(n=.5),o==null&&(o=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=r.shape[0];return e=Math.min(e,i),E(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),E(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),E(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),E(t.rank===1,()=>\"scores must be a 1D tensor\"),E(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),E(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s}}function u6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),i=v(t,\"scores\",\"nonMaxSuppression\",\"float32\"),a=Co(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u={maxOutputSize:e,iouThreshold:n,scoreThreshold:o};return k.runKernel(Pa,{boxes:s,scores:i},u)}var S_=T({nonMaxSuppression_:u6});function N_(r,t,e){let n=c6(r,t,e),o=n<0?-(n+1):n;r.splice(o,0,t)}function c6(r,t,e){return m6(r,t,e||p6)}function p6(r,t){return r>t?1:r>>1);let a=e(t,r[s]);a>0?n=s+1:(o=s,i=!a)}return i?n:-n-1}function ly(r,t,e,n,o){return sS(r,t,e,n,o,0)}function uy(r,t,e,n,o,s){return sS(r,t,e,n,o,0,!1,s,!0)}function cy(r,t,e,n,o,s){return sS(r,t,e,n,o,s,!0)}function sS(r,t,e,n,o,s,i=!1,a=!1,u=!1){let l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(T_);let c=s>0?-.5/s:0,p=[],m=[];for(;p.length0;){let g=l.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--N){let _=f6(r,b,p[N]);if(_>=n){C=!0;break}if(g.score=g.score*d6(n,c,_),g.score<=o)break}g.suppressBeginIndex=p.length,C||(g.score===x?(p.push(b),m.push(g.score)):g.score>o&&N_(l,g,T_))}let f=p.length,d=e-f;a&&d>0&&(p.push(...new Array(d).fill(0)),m.push(...new Array(d).fill(0)));let h={selectedIndices:p};return i&&(h.selectedScores=m),u&&(h.validOutputs=f),h}function f6(r,t,e){let n=r.subarray(t*4,t*4+4),o=r.subarray(e*4,e*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),a=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),m=Math.max(o[1],o[3]),f=(a-s)*(u-i),d=(p-l)*(m-c);if(f<=0||d<=0)return 0;let h=Math.max(s,l),g=Math.max(i,c),x=Math.min(a,p),b=Math.min(u,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(f+d-w)}function d6(r,t,e){let n=Math.exp(t*e*e);return e<=r?n:0}function T_(r,t){return r.score-t.score||r.score===t.score&&t.boxIndex-r.boxIndex}async function h6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(t,\"scores\",\"nonMaxSuppressionAsync\"),a=Co(s,i,e,n,o);e=a.maxOutputSize,n=a.iouThreshold,o=a.scoreThreshold;let u=await Promise.all([s.data(),i.data()]),l=u[0],c=u[1],{selectedIndices:p}=ly(l,c,e,n,o);return s!==r&&s.dispose(),i!==t&&i.dispose(),Ke(p,\"int32\")}var k_=h6;function g6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=v(r,\"boxes\",\"nonMaxSuppression\"),a=v(t,\"scores\",\"nonMaxSuppression\"),u=Co(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l={boxes:i,scores:a},c={maxOutputSize:e,iouThreshold:n,scoreThreshold:o,softNmsSigma:s},p=k.runKernel(Ma,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}var E_=T({nonMaxSuppressionWithScore_:g6});async function x6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=0){let i=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(t,\"scores\",\"nonMaxSuppressionAsync\"),u=Co(i,a,e,n,o,s);e=u.maxOutputSize,n=u.iouThreshold,o=u.scoreThreshold,s=u.softNmsSigma;let l=await Promise.all([i.data(),a.data()]),c=l[0],p=l[1],{selectedIndices:m,selectedScores:f}=cy(c,p,e,n,o,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Ke(m,\"int32\"),selectedScores:Ke(f)}}var __=x6;function y6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=v(r,\"boxes\",\"nonMaxSuppression\"),a=v(t,\"scores\",\"nonMaxSuppression\"),u=Co(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,m={boxes:i,scores:a},f={maxOutputSize:l,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=k.runKernel(La,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var A_=T({nonMaxSuppressionPadded_:y6});async function b6(r,t,e,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let i=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(t,\"scores\",\"nonMaxSuppressionAsync\"),u=Co(i,a,e,n,o,null),l=u.maxOutputSize,c=u.iouThreshold,p=u.scoreThreshold,[m,f]=await Promise.all([i.data(),a.data()]),{selectedIndices:d,validOutputs:h}=uy(m,f,l,c,p,s);return i!==r&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:Ke(d,\"int32\"),validOutputs:pt(h,\"int32\")}}var $_=b6;function w6(r,t,e=!1,n=!1){let o=v(r,\"images\",\"resizeBilinear\");E(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),E(n===!1||e===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(Ss,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var py=T({resizeBilinear_:w6});function C6(r,t,e=!1,n=!1){let o=v(r,\"images\",\"resizeNearestNeighbor\");E(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),E(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),E(o.dtype===\"float32\"||o.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),E(n===!1||e===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=o,i=!1;o.rank===3&&(i=!0,s=R(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=t,a={images:s},u={alignCorners:e,halfPixelCenters:n,size:t},l=k.runKernel(vs,a,u);return i?R(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var my=T({resizeNearestNeighbor_:C6});function I6(r,t=\"binary\",e=!1,n=.5){let o=v(r,\"image\",\"threshold\"),s=.2989,i=.587,a=.114,u=o.shape[0]*o.shape[1],l=D(Ke([n]),255),c,p,m,f;if(E(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),E(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),E(o.dtype===\"int32\"||o.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),E(t===\"otsu\"||t===\"binary\",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[c,p,m]=hr(o,[1,1,1],-1);let g=D(c,s),x=D(p,i),b=D(m,a);f=Y(Y(g,x),b)}else f=r;if(t===\"otsu\"){let g=mx(J(cm(f),\"int32\"),or([]),256);l=v6(g,u)}let d=e?Mn(f,l):Fe(f,l);return J(D(d,255),\"int32\")}function v6(r,t){let e=Ke([-1]),n=Ke([0]),o=Ke([0]),s,i,a,u,l,c;for(let p=0;p`Error in transform: image must be rank 4,but got rank ${i.rank}.`),E(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),E(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let u={image:i,transforms:a},l={interpolation:e,fillMode:n,fillValue:o,outputShape:s};return k.runKernel(Ka,u,l)}var R_=T({transform_:S6});function N6(r,t,e){E(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),E(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`);let n=v(r,\"a\",\"bandPart\");E(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(e<=i))throw new Error(`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),e<0&&(e=i);let a=R(Gi(0,s,1,\"int32\"),[-1,1]),u=Gi(0,i,1,\"int32\"),l=lt(a,u),c=Fr(Mn(l,pt(+t,\"int32\")),un(l,pt(-e,\"int32\"))),p=Te([s,i],n.dtype);return R(qe(gr(R(n,[-1,s,i])).map(m=>_e(c,m,p))),o)}var F_=T({bandPart_:N6});function T6(r){let t;if(Array.isArray(r)){t=!1,E(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let o=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else t=!0,r=hr(r,r.shape[0],0).map(o=>zn(o,[0]));E(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let e=[],n=r;for(let o=0;o{let s=n[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return P_(r,t);{let e=r.shape.slice(0,r.shape.length-2).reduce((u,l)=>u*l),n=gr(R(r,[e,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),o=[],s=[];n.forEach(u=>{let[l,c]=P_(u,t);o.push(l),s.push(c)});let i=R(qe(o,0),r.shape),a=R(qe(s,0),r.shape);return[i,a]}}function P_(r,t=!1){return k.tidy(()=>{E(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let e=r.shape[0],n=r.shape[1],o=Hu(e),s=an(r),i=Ws([[1]],[1,1]),a=an(i),u=e>=n?n:e;for(let l=0;l{let f=Rt(s,[l,l],[e-l,1]),d=Qa(f),h=Rt(s,[l,l],[1,1]),g=_e(Fe(h,0),Ws([[-1]]),Ws([[1]])),x=lt(h,D(g,d)),b=ut(f,x);b.shape[0]===1?a=an(i):a=oe([i,Rt(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=qt(ut(Mt(g,x),d)),C=Rt(s,[l,0],[e-l,n]),N=D(w,a),_=Pt(a);if(l===0)s=lt(C,Mt(N,Mt(_,C)));else{let F=lt(C,Mt(N,Mt(_,C)));s=oe([Rt(s,[0,0],[l,n]),F],0)}let A=Pt(N),$=Rt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=lt($,Mt(Mt($,a),A));else{let F=lt($,Mt(Mt($,a),A));o=oe([Rt(o,[0,0],[e,l]),F],1)}return[a,s,o]}),Nt([c,p,m])}return!t&&e>n&&(o=Rt(o,[0,0],[e,n]),s=Rt(s,[0,0],[n,n])),[o,s]})}var L_=T({qr_:k6});var Ze;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})(Ze||(Ze={}));function E6(r,t,e=Ze.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"losses\",\"computeWeightedLoss\"),o=null;t!=null&&(o=v(t,\"weights\",\"computeWeightedLoss\"));let s=o==null?n:D(n,o);if(e===Ze.NONE)return s;if(e===Ze.SUM)return mt(s);if(e===Ze.MEAN){if(o==null)return Ne(s);{let i=n.size/o.size,a=ut(mt(s),mt(o));return i>1?ut(a,pt(i)):a}}if(e===Ze.SUM_BY_NONZERO_WEIGHTS){if(o==null)return ut(mt(s),pt(n.size));{let i=D(o,fr(n.shape)),a=J(mt(Gs(i,pt(0))),\"float32\");return ut(mt(s),a)}}throw Error(`Unknown reduction: ${e}`)}var Ur=T({computeWeightedLoss_:E6});function _6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"absoluteDifference\"),s=v(t,\"predictions\",\"absoluteDifference\"),i=null;e!=null&&(i=v(e,\"weights\",\"absoluteDifference\")),Re(o.shape,s.shape,\"Error in absoluteDifference: \");let a=Ee(lt(o,s));return Ur(a,i,n)}var M_=T({absoluteDifference_:_6});function A6(r,t,e,n,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"cosineDistance\"),i=v(t,\"predictions\",\"cosineDistance\"),a=null;n!=null&&(a=v(n,\"weights\",\"cosineDistance\")),Re(s.shape,i.shape,\"Error in cosineDistance: \");let u=pt(1),l=lt(u,mt(D(s,i),e,!0));return Ur(l,a,o)}var z_=T({cosineDistance_:A6});function $6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"hingeLoss\"),s=v(t,\"predictions\",\"hingeLoss\"),i=null;e!=null&&(i=v(e,\"weights\",\"hingeLoss\")),Re(o.shape,s.shape,\"Error in hingeLoss: \");let a=pt(1);o=lt(D(pt(2),o),a);let u=Or(lt(a,D(o,s)));return Ur(u,i,n)}var B_=T({hingeLoss_:$6});function D6(r,t,e,n=1,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"huberLoss\"),i=v(t,\"predictions\",\"huberLoss\"),a=null;e!=null&&(a=v(e,\"weights\",\"huberLoss\")),Re(s.shape,i.shape,\"Error in huberLoss: \");let u=pt(n),l=Ee(lt(i,s)),c=zi(l,u),p=lt(l,c),m=Y(D(pt(.5),zt(c)),D(u,p));return Ur(m,a,o)}var V_=T({huberLoss_:D6});function R6(r,t,e,n=1e-7,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"logLoss\"),i=v(t,\"predictions\",\"logLoss\"),a=null;e!=null&&(a=v(e,\"weights\",\"logLoss\")),Re(s.shape,i.shape,\"Error in logLoss: \");let u=pt(1),l=pt(n),c=qt(D(s,Nr(Y(i,l)))),p=D(lt(u,s),Nr(Y(lt(u,i),l))),m=lt(c,p);return Ur(m,a,o)}var G_=T({logLoss_:R6});function F6(r,t,e,n=Ze.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"labels\",\"meanSquaredError\"),s=v(t,\"predictions\",\"meanSquaredError\"),i=null;e!=null&&(i=v(e,\"weights\",\"meanSquaredError\")),Re(o.shape,s.shape,\"Error in meanSquaredError: \");let a=bm(o,s);return Ur(a,i,n)}var W_=T({meanSquaredError_:F6});function O6(r,t){let e=v(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=v(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");Re(e.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let o=Or(n),s=D(n,e),i=ru(sr(qt(Ee(n))));return Y(lt(o,s),i)}function P6(r,t,e,n=0,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=v(t,\"logits\",\"sigmoidCrossEntropy\"),a=null;if(e!=null&&(a=v(e,\"weights\",\"sigmoidCrossEntropy\")),Re(s.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){let l=pt(n),c=pt(1),p=pt(.5);s=Y(D(s,lt(c,l)),D(p,l))}let u=O6(s,i);return Ur(u,a,o)}var U_=T({sigmoidCrossEntropy_:P6});function L6(r,t,e=-1){if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${e}`);return cn((o,s,i)=>{let u=am(s,[e],!0),l=lt(J(s,\"float32\"),u);i([o,l]);let c=qt(D(l,o));return{value:mt(c,[e]),gradFunc:(f,d)=>{let[h,g]=d,x=bo(f.shape,[e]);return[D(R(f,x),lt(J(h,\"float32\"),sr(g))),D(R(f,x),lt(sr(g),J(h,\"float32\")))]}}})(r,t)}function M6(r,t,e,n=0,o=Ze.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"onehotLabels\",\"softmaxCrossEntropy\"),i=v(t,\"logits\",\"softmaxCrossEntropy\"),a=null;if(e!=null&&(a=v(e,\"weights\",\"softmaxCrossEntropy\")),Re(s.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){let l=pt(n),c=pt(1),p=pt(s.shape[1]);s=Y(D(s,lt(c,l)),ut(l,p))}let u=L6(s,i);return Ur(u,a,o)}var H_=T({softmaxCrossEntropy_:M6});function z6(r,t,e,n){let o=v(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=v(t,\"values\",\"sparseFillEmptyRows\"),i=v(e,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),a=v(n,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(o.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(a.rank!==0)throw new Error(`Default value should be a scalar but received shape ${a.shape}`);let u={indices:o,values:s,denseShape:i,defaultValue:a},l=k.runKernel(Ml,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var q_=T({sparseFillEmptyRows_:z6});function B6(r,t,e){let n=v(r,\"inputIndices\",\"sparseReshape\",\"int32\"),o=v(t,\"inputShape\",\"sparseReshape\",\"int32\"),s=v(e,\"newShape\",\"sparseReshape\",\"int32\");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${n.shape}`);if(o.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=k.runKernel(Ua,i);return{outputIndices:a[0],outputShape:a[1]}}var K_=T({sparseReshape_:B6});function V6(r,t,e){let n=v(r,\"data\",\"sparseSegmentMean\"),o=v(t,\"indices\",\"sparseSegmentMean\",\"int32\"),s=v(e,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(zl,i)}var j_=T({sparseSegmentMean_:V6});function G6(r,t,e){let n=v(r,\"data\",\"sparseSegmentSum\"),o=v(t,\"indices\",\"sparseSegmentSum\",\"int32\"),s=v(e,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(n.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Bl,i)}var X_=T({sparseSegmentSum_:G6});function W6(r,t,e,n,o,s,i,a){let u=v(r,\"data\",\"stringNGrams\",\"string\");if(u.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=v(t,\"dataSplits\",\"stringNGrams\");if(l.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=k.runKernel(Gl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var Y_=T({stringNGrams_:W6});function U6(r,t,e=!0){let n=v(r,\"input\",\"stringSplit\",\"string\"),o=v(t,\"delimiter\",\"stringSplit\",\"string\");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=k.runKernel(Wl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var Z_=T({stringSplit_:U6});function H6(r,t){let e=v(r,\"input\",\"stringToHashBucketFast\",\"string\"),n={numBuckets:t};if(t<=0)throw new Error(\"Number of buckets must be at least 1\");let o={input:e};return k.runKernel(Ul,o,n)}var J_=T({stringToHashBucketFast_:H6});var q6={fft:lu,ifft:el,rfft:uu,irfft:ym},K6={hammingWindow:y_,hannWindow:iy,frame:ay,stft:b_},oo={flipLeftRight:C_,grayscaleToRGB:I_,resizeNearestNeighbor:my,resizeBilinear:py,rotateWithOffset:v_,cropAndResize:w_,nonMaxSuppression:S_,nonMaxSuppressionAsync:k_,nonMaxSuppressionWithScore:E_,nonMaxSuppressionWithScoreAsync:__,nonMaxSuppressionPadded:A_,nonMaxSuppressionPaddedAsync:$_,threshold:D_,transform:R_},iS={bandPart:F_,gramSchmidt:O_,qr:L_},j6={absoluteDifference:M_,computeWeightedLoss:Ur,cosineDistance:z_,hingeLoss:B_,huberLoss:V_,logLoss:G_,meanSquaredError:W_,sigmoidCrossEntropy:U_,softmaxCrossEntropy:H_},X6={sparseFillEmptyRows:q_,sparseReshape:K_,sparseSegmentMean:j_,sparseSegmentSum:X_},Y6={stringNGrams:Y_,stringSplit:Z_,stringToHashBucketFast:J_};var Q={};Ut(Q,{Serializable:()=>dh,SerializationMap:()=>Wi,registerClass:()=>aS});var dh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},Wi=class{constructor(){this.classNameMap={}}static getMap(){return Wi.instance==null&&(Wi.instance=new Wi),Wi.instance}static register(t){Wi.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function aS(r){E(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),E(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),E(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),Wi.register(r)}var Hr=class extends dh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return Nt(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Dx(t,e)}dispose(){this.iterations_!=null&&Nt(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:pt(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Hr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var ec=class extends Hr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adadelta\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=Y(D(u,this.rho),D(zt(a),1-this.rho)),p=D(ut(Se(Y(l,this.epsilon)),Se(Y(u,this.epsilon))),a),m=Y(D(l,this.rho),D(zt(p),1-this.rho));u.assign(c),l.assign(m);let f=Y(D(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Nt(this.accumulatedGrads.map(t=>t.variable)),Nt(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};var rc=class extends Hr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}static get className(){return\"Adagrad\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>yo(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=Y(a,zt(i));a.assign(u);let l=Y(D(ut(i,Se(Y(u,k.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Nt(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};var nc=class extends Hr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=pt(e).variable(),this.accBeta2=pt(n).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adam\"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=lt(1,this.accBeta2);e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=Y(D(p,this.beta2),D(zt(l),1-this.beta2)),d=ut(m,n),h=ut(f,o);c.assign(m),p.assign(f);let g=Y(D(ut(d,Y(Se(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(D(this.accBeta1,this.beta1)),this.accBeta2.assign(D(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&Nt(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(ln(this.beta1,this.iterations_+1)),this.accBeta2.assign(ln(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};var oc=class extends Hr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=pt(0).variable(),this.accBeta1=pt(e).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return\"Adamax\"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=ut(-this.learningRate,Y(D(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=D(p,this.beta2),d=Ee(l),h=Sn(f,d);c.assign(m),p.assign(h);let g=Y(D(ut(o,n),ut(m,Y(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(D(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&Nt(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(t){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};var rl=class extends Hr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}static get className(){return\"SGD\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=k.registeredVariables[n];B(()=>{let a=Y(D(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(pt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};var sc=class extends rl{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=pt(this.momentum)}static get className(){return\"Momentum\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=Y(D(this.m,i),a);this.useNesterov?u=Y(D(this.c,Y(a,D(l,this.m))),s):u=Y(D(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Nt(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};var ic=class extends Hr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=k.backend.epsilon()),t==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}static get className(){return\"RMSProp\"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=Y(D(u,this.decay),D(zt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=Y(D(p,this.decay),D(a,1-this.decay)),f=ut(D(a,this.learningRate),Se(lt(c,Y(zt(m),this.epsilon)))),d=Y(D(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=lt(s,d);s.assign(h)}else{let p=Y(D(u,this.decay),D(zt(a),1-this.decay)),m=Y(D(l,this.momentum),ut(D(a,this.learningRate),Se(Y(p,this.epsilon))));u.assign(p),l.assign(m);let f=lt(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Nt(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Nt(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&Nt(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};var Z6=[ec,rc,nc,oc,sc,ic,rl];function Q_(){for(let r of Z6)aS(r)}var Pr={};Ut(Pr,{browserFiles:()=>eA,browserHTTPRequest:()=>oA,concatenateArrayBuffers:()=>qp,copyModel:()=>oE,decodeWeights:()=>Kg,encodeWeights:()=>G1,fromMemory:()=>sA,fromMemorySync:()=>fS,getLoadHandlers:()=>j1,getModelArtifactsForJSON:()=>Kp,getModelArtifactsForJSONSync:()=>R0,getModelArtifactsInfoForJSON:()=>ki,getSaveHandlers:()=>K1,getWeightSpecs:()=>Xg,http:()=>dy,isHTTPScheme:()=>fy,listModels:()=>rE,loadWeights:()=>rA,moveModel:()=>sE,registerLoadRouter:()=>q1,registerSaveRouter:()=>H1,removeModel:()=>nE,weightsLoaderFactory:()=>pS,withSaveHandler:()=>iA,withSaveHandlerSync:()=>aA});var J6=\"model\",Q6=\".json\",tX=\".weights.bin\";function tA(r){return new Promise(t=>setTimeout(t)).then(r)}var nl=class{constructor(t){if(!M().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(nl.URL_SCHEME)&&(t=t.slice(nl.URL_SCHEME.length)),(t==null||t.length===0)&&(t=J6),this.modelJsonFileName=t+Q6,this.weightDataFileName=t+tX}async save(t){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:\"application/octet-stream\"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let n=[{paths:[\"./\"+this.weightDataFileName],weights:t.weightSpecs}],o=jg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:\"application/json\"})),i=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await tA(()=>i.dispatchEvent(new MouseEvent(\"click\"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await tA(()=>a.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:ki(t)}}}};nl.URL_SCHEME=\"downloads://\";var lS=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=Kp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,qp(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>D0(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=D0(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},eX=r=>M().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(nl.URL_SCHEME)?rX(r.slice(nl.URL_SCHEME.length)):null;Ie.registerSaveRouter(eX);function rX(r=\"model\"){return new nl(r)}function eA(r){return new lS(r)}function uS(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>\"promises must be a none empty array\")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function cS(r,t){t==null&&(t={});let e=t.fetchFunc==null?M().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await uS(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await uS(a,t.onProgress,u,l)}async function rA(r,t=\"\",e,n){return pS(i=>cS(i,{requestInit:n}))(r,t,e)}function pS(r){return async(t,e=\"\",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=nh[x]*Jt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(\", \")}. \nManifest JSON has weights with names: ${a.join(\", \")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith(\"/\")?\"\":\"/\")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Kg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var nX=\"application/octet-stream\",oX=\"application/json\",hh=class{constructor(t,e){if(this.DEFAULT_METHOD=\"POST\",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:[\"./model.weights.bin\"],weights:t.weightSpecs}],o=jg(t,n);e.body.append(\"model.json\",new Blob([JSON.stringify(o)],{type:oX}),\"model.json\"),t.weightData!=null&&e.body.append(\"model.weights.bin\",new Blob([t.weightData],{type:nX}),\"model.weights.bin\");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:ki(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?i+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":i+=\" Please make sure the server is serving valid JSON for this request.\",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Kp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=sX(e),s=this.weightPathPrefix||n,i=Xg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await cS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,qp(l)]}};hh.URL_SCHEME_REGEX=/^https?:\\/\\//;function sX(r){let t=r.lastIndexOf(\"/\"),e=r.lastIndexOf(\"?\"),n=r.substring(0,t),o=e>t?r.substring(e):\"\";return[n+\"/\",o]}function fy(r){return r.match(hh.URL_SCHEME_REGEX)!=null}var nA=(r,t)=>{if(typeof fetch==\"undefined\"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>fy(n)):e=fy(r),e)return dy(r,t)}return null};Ie.registerSaveRouter(nA);Ie.registerLoadRouter(nA);function dy(r,t){return new hh(r,t)}function oA(r,t){return dy(r,t)}var gh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},hy=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},mS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function sA(r,t,e,n){let o=arguments;return new mS(fS(...o))}function fS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new gh(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new gh({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new gh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function iA(r){return new hy(r)}function aA(r){return new hy(r)}var uA={};Ut(uA,{confusionMatrix:()=>lA});function iX(r,t,e){let n=v(r,\"labels\",\"confusionMatrix\"),o=v(t,\"predictions\",\"confusionMatrix\");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Bi(J(n,\"int32\"),e),i=Bi(J(o,\"int32\"),e),a=Pt(s),u=Mt(a,i);return J(u,\"int32\")}var lA=T({confusionMatrix_:iX});var gy={};Ut(gy,{fromPixels:()=>fX,fromPixelsAsync:()=>pX,toPixels:()=>mX});var ac;function cA(r,t=3){if(t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Zd(Xd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Xd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext(\"2d\").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(ac==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")ac=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else ac=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});ac.canvas.width=l,ac.canvas.height=c,ac.drawImage(r,0,0,l,c),p=ac.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!==\"float32\"&&e.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype===\"float32\"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype===\"int32\"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext(\"2d\"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var fX=T({fromPixels_:cA});var xy={};Ut(xy,{prepareAndValidate:()=>pA});function pA(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var ze={};Ut(ze,{assertParamsValid:()=>hX,computeFlatOffset:()=>wX,computeOutShape:()=>xX,getNormalizedAxes:()=>yX,isSliceContinous:()=>bX,maskToAxes:()=>gX,parseSliceParams:()=>hS,sliceInfo:()=>CX,startForAxis:()=>bA,startIndicesWithElidedDims:()=>gA,stopForAxis:()=>wA,stopIndicesWithElidedDims:()=>xA,stridesForAxis:()=>yA,stridesWithElidedDims:()=>fA});var dS=-2,dX=-1;function hX(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function gX(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function xX(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=gA(i,f,d,n,r),p=xA(a,f,d,o,r),m=fA(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=dA(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=dA(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function wA(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function bX(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function wX(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return e==null?s=new Array(o).fill(-1):typeof e==\"number\"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function CX(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&i&i-1)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=mA(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=mA(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===dS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==dS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function IX(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var CA=\"4.2.0\";var xh=class{static sgd(t){return new rl(t)}static momentum(t,e,n=!1){return new sc(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new ic(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new nc(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new ec(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new oc(t,e,n,o,s)}static adagrad(t,e=.1){return new rc(t,e)}};var lc=xh;var vX=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function yh(){return new Promise(r=>vX(()=>r()))}var S={};Ut(S,{ERF_A1:()=>MX,ERF_A2:()=>zX,ERF_A3:()=>BX,ERF_A4:()=>VX,ERF_A5:()=>GX,ERF_P:()=>LX,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Ui,SELU_SCALE:()=>xS,SELU_SCALEALPHA:()=>gS,applyActivation:()=>Qu,assertAndGetBroadcastShape:()=>Ot,assertAxesAreInnerMostDims:()=>pq,assertParamsConsistent:()=>SX,assignToTypedArray:()=>jX,axesAreInnerMostDims:()=>U0,calculateShapes:()=>m_,checkEinsumDimSizes:()=>t5,checkPadOnDimRoundingMode:()=>ve,combineLocations:()=>yE,combineRaggedTensorToTensorShapes:()=>TX,complexWithEvenIndex:()=>HX,complexWithOddIndex:()=>qX,computeConv2DInfo:()=>Wu,computeConv3DInfo:()=>cE,computeDefaultPad:()=>W0,computeDilation2DInfo:()=>mH,computeOptimalWindowSize:()=>AX,computeOutAndReduceShapes:()=>H0,computeOutShape:()=>NX,computePool2DInfo:()=>G0,computePool3DInfo:()=>fH,convertConv2DDataFormat:()=>pE,decodeEinsumEquation:()=>JX,eitherStridesOrDilationsAreOne:()=>$r,expandShapeToKeepDim:()=>bo,exponent:()=>YX,exponents:()=>XX,fromStringArrayToUint8:()=>C5,fromUint8ToStringArray:()=>w5,getAxesPermutation:()=>q0,getBroadcastDims:()=>gE,getComplexWithIndex:()=>KX,getEinsumComputePath:()=>e5,getEinsumPermutation:()=>QX,getFusedBiasGradient:()=>Ju,getFusedDyActivation:()=>Zu,getImageCenter:()=>$X,getInnerMostAxes:()=>mq,getPermuted:()=>RX,getRaggedRank:()=>EX,getReductionAxes:()=>xe,getReshaped:()=>DX,getReshapedPermuted:()=>FX,getRowPartitionTypesHelper:()=>kX,getSliceBeginCoords:()=>OX,getSliceSize:()=>PX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>s5,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>i5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>a5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>c5,getSparseReshapeInputOutputMismatchErrorMessage:()=>m5,getSparseReshapeInputOutputMultipleErrorMessage:()=>p5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>l5,getSparseReshapeNegativeOutputDimErrorMessage:()=>u5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>g5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>f5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>d5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>h5,getUndoAxesPermutation:()=>lh,isIdentityPermutation:()=>r5,log:()=>l4,mergeRealAndImagArrays:()=>WX,prepareAndValidate:()=>pA,prepareSplitSize:()=>o5,segment_util:()=>bS,shouldFuse:()=>tc,slice_util:()=>ze,splitRealAndImagArrays:()=>UX,stridesOrDilationsArePositive:()=>$i,tupleValuesAreOne:()=>ro,upcastType:()=>lr,validateDefaultValueShape:()=>_X,validateInput:()=>ny,validateUpdateShape:()=>rS,warn:()=>Ti});function SX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function NX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function kX(r){let t={FIRST_DIM_SIZE:Ui.FIRST_DIM_SIZE,VALUE_ROWIDS:Ui.VALUE_ROWIDS,ROW_LENGTHS:Ui.ROW_LENGTHS,ROW_SPLITS:Ui.ROW_SPLITS,ROW_LIMITS:Ui.ROW_LIMITS,ROW_STARTS:Ui.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function EX(r){return r.length===0?0:r[0]===Ui.FIRST_DIM_SIZE?r.length-1:r.length}function _X(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function AX(r){return r<=yy?r:ip(r,Math.floor(Math.sqrt(r)))}function $X(r,t,e){let n=e*(typeof r==\"number\"?r:r[0]),o=t*(typeof r==\"number\"?r:r[1]);return[n,o]}function DX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function FX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s\",ZX=/->/g,IA=\",\",vA=\"...\";function JX(r,t){r=r.replace(/\\s/g,\"\");let e=(r.length-r.replace(ZX,\"\").length)/yS.length;if(e<1)throw new Error(\"Equations without an arrow are not supported.\");if(e>1)throw new Error(`Equation must contain exactly one arrow (\"${yS}\").`);let[n,o]=r.split(yS);E(n.indexOf(vA)===-1,()=>`The ellipsis notation (\"${vA}\") is not supported yet.`);let s=n.split(IA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function t5(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function e5(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function n5(r,t){let e=[];for(let n=0;n\"Number of splits must evenly divide the axis.\"),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>\"There should be only one negative value in split array.\");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>\"The sum of sizes must match the size of the axis dimension.\"),n=t}return n}function s5(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function i5(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function a5(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function l5(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function u5(r,t){return`size ${r} must be non-negative, not ${t}`}function c5(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function p5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a SparseTensor with ${e}\n dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function m5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function f5(){return\"segment ids must be >= 0\"}function d5(){return\"segment ids are not increasing\"}function h5(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function g5(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var bS={};Ut(bS,{collectGatherOpShapeInfo:()=>b5,computeOutShape:()=>y5,segOpComputeOptimalWindowSize:()=>x5});function x5(r,t){let e=!1,n;for(r<=yy?(n=r,e=!0):n=ip(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=ip(r,n+1);return n}function y5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) (\n ${s}).`);if(eUp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function C5(r){return r.map(t=>Kl(t))}var qr={};Ut(qr,{nonMaxSuppressionV3Impl:()=>ly,nonMaxSuppressionV4Impl:()=>uy,nonMaxSuppressionV5Impl:()=>cy,whereImpl:()=>ey});Q_();var by={kernelName:li,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,wo(J(e,\"float32\"),-1))}}};var SA={kernelName:la,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=zt(J(e,\"float32\")),o=Se(lt(pt(1),n));return qt(ut(r,o))}}}};var NA={kernelName:ua,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(lt(zt(J(e,\"float32\")),1));return ut(r,n)}}}};var TA={kernelName:Jn,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(a,n.shape)}}}};var kA={kernelName:Vo,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var EA={kernelName:Go,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var _A={kernelName:_l,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var AA={kernelName:ma,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Se(lt(pt(1),zt(J(e,\"float32\")))))}}};var $A={kernelName:fa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(Y(pt(1),zt(J(e,\"float32\"))));return ut(r,n)}}}};var DA={kernelName:ga,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=Y(zt(e),zt(n)),u=D(r,ut(n,a)),l=xe(e.shape,o);return l.length>0&&(u=mt(u,l)),R(u,e.shape)},b:()=>{let a=Y(zt(e),zt(n)),u=qt(D(r,ut(e,a))),l=xe(n.shape,o);return l.length>0&&(u=mt(u,l)),R(u,n.shape)}}}};var RA={kernelName:da,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(zt(J(e,\"float32\")),1))}}};var FA={kernelName:ha,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,lt(pt(1),zt(J(e,\"float32\"))))}}};function I5(r,t,e,n,o,s){let i=v(r,\"dy\",\"avgPool3dGrad\"),a=v(t,\"input\",\"avgPool3dGrad\"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),ve(\"avgPool3dGrad\",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=k.runKernel(up,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var OA=T({avgPool3dGrad_:I5});var PA={kernelName:Al,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>OA(r,n,o,s,i,a)}}};function v5(r,t,e,n,o){let s=v(r,\"dy\",\"avgPoolGrad\"),i=v(t,\"input\",\"avgPoolGrad\");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=k.runKernel(lp,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var LA=T({avgPoolGrad_:v5});var MA={kernelName:Wo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>LA(r,n,o,s,i)}}};var zA={kernelName:Uo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Mt(r,o,!1,!0),b:()=>Mt(n,r,!0,!1)}:!s&&i?{a:()=>Mt(r,o,!1,!1),b:()=>Mt(r,n,!0,!1)}:s&&!i?{a:()=>Mt(o,r,!1,!0),b:()=>Mt(n,r,!1,!1)}:{a:()=>Mt(o,r,!0,!0),b:()=>Mt(r,n,!0,!0)}}};var BA={kernelName:ui,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>su(r,n,o)}}};var VA={kernelName:p1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>mt(r,a,!0)}}};var GA={kernelName:uo,gradFunc:r=>({x:()=>r.clone()})};var WA={kernelName:Ho,gradFunc:r=>({x:()=>It(r)})};var UA={kernelName:co,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Fr(un(n,o),Mn(n,s)),r,It(r))}}};var HA={kernelName:$l,inputsToSave:[\"x\"],gradFunc:by.gradFunc};var qA={kernelName:ci,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=pr(o,t[0].shape)[0],i=n.map(u=>u[s]);return hr(r,i,s).map(u=>()=>u)}};var KA={kernelName:qo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(ro(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>em(n.shape,r,o,i,a,u),filter:()=>Im(n,r,o.shape,i,a,u)}}};var jA={kernelName:Ko,inputsToSave:[\"dy\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>vn(r,o,s,i,a,1,u),filter:()=>Im(r,n,o.shape,s,i,a,u)}}};function S5(r,t,e,n,o){let s=r;r.rank===4&&(s=R(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return k.runKernel(dp,a,u)}var XA=T({conv3DBackpropFilter_:S5});var YA={kernelName:Dl,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(ro(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>bx(i.shape,r,a,o,s),filter:()=>XA(i,r,a.shape,o,s)}}};var ZA={kernelName:jo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(qt(dm(J(e,\"float32\"))),r)}}};var JA={kernelName:Xo,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(hm(J(e,\"float32\")),r)}}};var QA={kernelName:Yo,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=q0([o],n.rank),u=om(r,o,s,!i);return a!=null&&(u=Pt(u,a)),u}}}};var t2={kernelName:Zo,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(ro(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E($r(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),ve(\"depthwiseConv2d\",s,i),{x:()=>sy(u.shape,r,l,o,s,a,i),filter:()=>oy(u,r,l.shape,o,s,a,i)}}};var e2={kernelName:Rl,inputsToSave:[\"x\",\"filter\"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>k.runKernel(Kd,s,e),filter:()=>k.runKernel(jd,i,e)}}};var r2={kernelName:Qo,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>k.runKernel(Cp,n)}}};var n2={kernelName:wa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(sr(qt(zt(e))),2/Math.sqrt(Math.PI));return{x:()=>D(r,n)}}};var o2={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e)}}};var s2={kernelName:pi,inputsToSave:[\"input\"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>R(r,e.shape)}}};var i2={kernelName:Ia,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,sr(e))}}};var a2={kernelName:es,gradFunc:r=>({x:()=>It(r)})};var l2={kernelName:rs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,\"float32\")))}}}};var u2={kernelName:ns,inputsToSave:[\"x\",\"mean\",\"variance\",\"scale\"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?pt(1):a,l=xe(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?R(D(D(r,Rr(R(f,[1,1,1,s.shape[0]]),c)),u),o.shape):R(D(D(r,f),u),o.shape),mean:()=>{let C=D(D(f,pt(-1)),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},variance:()=>{let C=D(D(d,p),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},scale:()=>{let C=D(p,f),N=D(r,C);return s.rank===1&&(N=mt(N,l)),R(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=mt(C,l)),R(C,s.shape)}}}};var m2={kernelName:mi,inputsToSave:[\"x\",\"indices\"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=pr(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=c2(0,p),h=c2(p+1,p+1+f),g=p2([c,[l],m]),x=R(r,g),b=R(o,[l]),w=p2([[p],d,h]),C=Pt(x,w),N=Cm(C,b,n.shape[i]),_=lh(w);return N=Pt(N,_),N},indices:()=>o}}};function c2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var d2={kernelName:po,gradFunc:r=>({x:()=>J(r,\"float32\")})};var h2={kernelName:Ta,gradFunc:r=>({x:()=>It(r)})};var g2={kernelName:ka,gradFunc:r=>({x:()=>It(r)})};var x2={kernelName:ss,gradFunc:r=>({x:()=>It(r)})};var y2={kernelName:is,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=Fe(n,0);return{x:()=>_e(s,r,D(r,o))}}};var b2={kernelName:Aa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(e,1))}}};var w2={kernelName:as,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,J(e,\"float32\"))}}};var C2={kernelName:f1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=sr(n);return lt(r,D(mt(r,o,!0),i))}}}};function N5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return k.runKernel(Tp,a,u)}var I2=T({localResponseNormalizationBackprop_:N5});var v2={kernelName:Ol,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>I2(n,o,r,s,i,a,u)}}};function wy(r,t,e,n){return t.rankD(r,J(Dr(e,t),r.dtype))}}var wS={kernelName:ls,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var S2={kernelName:us,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(un(e,n),\"float32\")),b:()=>D(r,J(sm(e,n),\"float32\"))}}};function T5(r,t,e,n,o,s,i){let a=v(r,\"dy\",\"maxPool3dGrad\"),u=v(t,\"input\",\"maxPool3dGrad\"),l=v(e,\"output\",\"maxPool3dGrad\"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=R(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=R(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),ve(\"maxPool3dGrad\",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=k.runKernel(Ep,d,h);return f?R(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var N2=T({maxPool3dGrad_:T5});var T2={kernelName:Pl,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>N2(r,n,o,s,i,a,u)}}};function k5(r,t,e,n,o,s,i){let a=v(r,\"dy\",\"maxPoolGrad\"),u=v(t,\"input\",\"maxPoolGrad\"),l=v(e,\"output\",\"maxPoolGrad\");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),ve(\"maxPoolGrad\",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return k.runKernel(kp,c,p)}var k2=T({maxPoolGrad_:k5});var E2={kernelName:cs,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>k2(r,n,o,s,i,a)}}};var _2={kernelName:ps,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=pr(o,n.shape),a=H0(n.shape,s)[1],u=Jt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=R(r,c);return ut(D(p,fr(n.shape,\"float32\")),u)}}}};var A2={kernelName:ms,inputsToSave:[\"x\"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var $2={kernelName:fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(Mn(e,n),\"float32\")),b:()=>D(r,J(Fe(e,n),\"float32\"))}}};var D2={kernelName:ds,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var R2={kernelName:Fa,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=xe(e.shape,o);return a.length>0?R(mt(r,a),e.shape):r},b:()=>{let a=D(r,qt(Li(ut(e,n)))),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var F2={kernelName:hs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=D(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var O2={kernelName:fi,gradFunc:r=>({x:()=>qt(r)})};var P2={kernelName:gs,inputsToSave:[\"indices\"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Te(e.shape,\"float32\")}}};var L2={kernelName:di,gradFunc:r=>({x:()=>It(r)})};var M2={kernelName:hi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return gr(r,n).map(s=>()=>s)}};var CS={kernelName:xs,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var z2={kernelName:ys,inputsToSave:[\"a\",\"b\"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Ot(s.shape,i.shape);return{a:()=>{let c=J(i,\"float32\"),p=D(r,D(c,ln(s,lt(c,pt(1))))),m=xe(s.shape,a);return m.length>0&&(p=mt(p,m)),R(p,s.shape)},b:()=>{let c=Fe(s,0),p=_e(c,Nr(s),It(s)),m=D(r,D(o,p)),f=xe(i.shape,a);return f.length>0&&(m=mt(m,f)),R(m,i.shape)}}}};var B2={kernelName:bs,inputsToSave:[\"x\",\"alpha\"],gradFunc:(r,t)=>{let[e,n]=t,o=Fe(e,0);return{x:()=>_e(o,r,D(r,n)),alpha:()=>{let s=_e(o,It(r),D(r,e)),i=xe(n.shape,r.shape);return i.length>0&&(s=mt(s,i)),R(s,n.shape)}}}};function E5(r,t,e){let n=r.shape.slice();n[e]=1;let o=R(t,n),s=Uu(r,e,!0,!1),i=Uu(r,e,!0,!0),a=D(s,i);return D(o,a)}function _5(r,t,e){let n=r.shape.length,o=n-e.length,s=S.getAxesPermutation(e,n),i=r;s!=null&&(i=Pt(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=E5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=S.getUndoAxesPermutation(s);p=Pt(p,m)}return p}var V2={kernelName:ws,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o==\"number\"?s=[o]:s=o,{x:()=>_5(n,r,s)}}};var G2={kernelName:Jo,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,\"float32\")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,\"float32\")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,\"float32\")))}}}};var W2={kernelName:Cs,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,qt(zt(e)))}}};var U2={kernelName:Ns,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t,n=D(Mn(e,6),wo(e));return{x:()=>D(r,J(n,\"float32\"))}}};var H2={kernelName:Is,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,J(wo(e),\"float32\"))}}};var q2={kernelName:gi,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e.shape)}}};var K2={kernelName:Ss,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Pp,o,e)}}};var j2={kernelName:vs,inputsToSave:[\"images\"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Op,o,e)}}};var X2={kernelName:Ts,gradFunc:(r,t,e)=>{let{dims:n}=e,o=pr(n,r.shape);return{x:()=>dr(r,o)}}};var Y2={kernelName:ks,gradFunc:r=>({x:()=>It(r)})};var Z2={kernelName:Es,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>qt(ut(r,D(ln(e,1.5),2)))}}};var J2={kernelName:xi,inputsToSave:[\"condition\"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),\"float32\"),t:()=>D(r,J(e,r.dtype)),e:()=>D(r,J(nu(e),r.dtype))}}};var Q2={kernelName:Ba,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Fe(e,pt(0)),o=pt(gS),s=pt(xS),i=D(r,s),a=D(D(r,o),sr(J(e,\"float32\")));return _e(n,i,a)}}}};var t$={kernelName:As,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(e,lt(pt(1),e)))}}};var e$={kernelName:Ga,gradFunc:r=>({x:()=>It(r)})};var r$={kernelName:_s,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Ql(J(e,\"float32\")),r)}}};var n$={kernelName:Va,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(nm(J(e,\"float32\")),r)}}};var o$={kernelName:yi,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=hS(n,o,s),l=[];for(let c=0;cpn(r,l)}}};var s$={kernelName:Rs,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=D(r,n);return{logits:()=>lt(i,D(mt(i,[o],s),n))}}};var i$={kernelName:Wa,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,Qr(e))}}};var IS={kernelName:bi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Jl(r,n,o)}}};var vS={kernelName:wi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>oe(r,n)}}};var a$={kernelName:$s,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,D(Se(J(e,\"float32\")),2))}}};var l$={kernelName:Vl,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(J(e,\"float32\"),2))}}};var u$={kernelName:Fs,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=pt(2);return{a:()=>D(r,D(o,lt(e,n))),b:()=>D(r,D(o,lt(n,e)))}}};var c$={kernelName:mo,gradFunc:r=>({x:()=>It(r)})};var p$={kernelName:Os,inputsToSave:[\"a\",\"b\"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(qt(a),n.shape)}}}};var m$={kernelName:Ds,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;pr(s,n.shape).forEach(l=>{o[l]=1});let a=R(r,o),u=D(a,fr(n.shape,\"float32\"));return{x:()=>u}}};var f$={kernelName:Ps,inputsToSave:[\"x\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,zt(Ql(e)))}}};var d$={kernelName:Ls,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(lt(pt(1),zt(e)),r)}}};var h$={kernelName:Qn,inputsToSave:[\"x\"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=lh(o);return{x:()=>Pt(r,s)}}};var x$={kernelName:Ci,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>qe(r,o)}}};var y$={kernelName:Hl,inputsToSave:[\"segmentIds\"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>A5(r,e)}}};function A5(r,t){let e=Sn(t,It(t)),n=Mi(r,e),o=un(t,pt(0,\"int32\")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var $5=[by,SA,NA,TA,kA,EA,_A,AA,$A,DA,RA,FA,PA,MA,zA,BA,VA,GA,WA,UA,HA,qA,jA,KA,YA,ZA,JA,QA,t2,e2,G2,r2,n2,o2,s2,i2,l2,a2,u2,m2,f2,d2,h2,g2,x2,y2,b2,w2,C2,v2,wS,wS,S2,T2,E2,_2,A2,$2,D2,R2,F2,O2,P2,L2,M2,CS,CS,z2,B2,V2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,e$,r$,n$,o$,s$,i$,IS,IS,vS,vS,a$,u$,l$,c$,p$,m$,f$,d$,h$,g$,x$,y$,b$];for(let r of $5)h1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),tx(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),ex(this)};O().prototype.add=function(r){return this.throwIfDisposed(),Y(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Jp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),Gu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ai(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),rx(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>\"The array must have only 1 element.\"),R(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),R(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),R(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),R(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),R(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),nx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),ox(this)};O().prototype.atan=function(){return this.throwIfDisposed(),sx(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),ix(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),ax(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),Zl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Jl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Ri(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),Fi(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),fx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),vr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),oe([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),tm(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),rm(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),vn(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Ql(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),nm(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),Uu(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),om(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),Cx(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Oi(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Ix(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),vx(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),ut(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Sx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Pi(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Nx(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),Tx(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),sr(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),ir(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),kx(this)};O().prototype.fft=function(){return this.throwIfDisposed(),lu(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Li(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Zp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Mi(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),un(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),Fe(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),el(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),ym(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),Ex(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),_x(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Ax(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),eu(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),Mn(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),sm(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),$x(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Fx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),im(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),am(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Nr(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),ru(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Fr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),nu(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),lm(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Ox(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Mt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),ou(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Sr(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),Sn(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),Ne(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Ja(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),zi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),Mx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),zx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),qt(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Qa(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),Gs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),Bi(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),wr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),pn(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),Bx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),ln(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),iu(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Vx(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),Kx(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Or(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),um(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),R(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),py(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),my(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),dr(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),uu(this)};O().prototype.round=function(){return this.throwIfDisposed(),cm(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),pm(this)};O().prototype.selu=function(){return this.throwIfDisposed(),mm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),fm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Qr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),jx(this)};O().prototype.sin=function(){return this.throwIfDisposed(),dm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),hm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Rt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),au(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),Vs(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),su(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),hr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),Se(this)};O().prototype.square=function(){return this.throwIfDisposed(),zt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),bm(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),zn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return qe(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),wo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),Xx(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),lt(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),mt(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),Yx(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),Di(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),Rr(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,\"bool\")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,\"float32\")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,\"int32\")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),Jx(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Pt(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),Qx(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),Cm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),gr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var Nn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Nn.prototype)}},Kr=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Kr.prototype)}},z=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,z.prototype)}},vt=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vt.prototype)}},vm=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vm.prototype)}};var bh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var Io={};function Sm(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function SS(r){if(!(r==null||typeof r!=\"object\"))if(Array.isArray(r))r.forEach(t=>SS(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n==\"object\"&&(!Array.isArray(n)&&n.type===\"ndarray\"&&typeof n.value==\"number\"?r[e]=n.value:SS(n))}}}function Hi(r,t={},e={},n=\"object\",o=!1){if(typeof r==\"string\"){let s=r,i;if(s in e)i=e[s];else if(s in Io)i=Io[s];else if(i=t[s],i==null)throw new z(`Unknown ${n}: ${r}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=r;if(s.className==null||s.config==null)throw new z(`${n}: Improper config format: ${JSON.stringify(s)}.\n'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in Io?[a,u]=Io.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons:\n1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(Io))l[f]=Io[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},Io);for(let f of Object.keys(e))Io[f]=e[f];SS(s.config);let m=u(a,s.config,e,o);return Io=Object.assign({},p),m}else{let l=Object.assign({},Io);for(let p of Object.keys(e))Io[p]=e[p];let c=new a(s.config);return Io=Object.assign({},l),c}}}function D5(r,t){return rt?1:0}function wh(r,t){return-1*D5(r,t)}function No(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function w$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function qi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Cy(r,t,e=0,n=1/0){return so(e>=0),so(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Qe(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Qe(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${C$(r)}.`)}function C$(r){return r===null?\"null\":Array.isArray(r)?\"[\"+r.map(t=>C$(t)).join(\",\")+\"]\":typeof r==\"string\"?`\"${r}\"`:`${r}`}function I$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return Nm.set(e,1),e}else return r}var O5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\\._\\/]*$/);function A$(r){return!!r.match(O5)}function $$(r){return r===parseInt(r.toString(),10)}function To(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function fn(r,t){if(t{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=il(r,1);return Ey(e,[1,t,1])})}function R$(r){let t=[To(r.shape)];return R(r,t)}function F$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],To(r.shape,1)];return R(r,t)}function sl(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[t,0],[e,r.shape[1]]);case 3:return xm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return Yu(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Rt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Rt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new z(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function ES(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[0,t],[r.shape[0],e]);case 3:return xm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return Yu(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Ih(r,t,e,n){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:switch(n){case 1:return sl(r,t,e);case 2:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return sl(r,t,e);case 2:return xm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return sl(r,t,e);case 2:return Yu(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return Yu(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Tm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),oe(r,t)}function AS(r,t){switch(r.rank){case 1:return dx([r,t]);case 2:return hx([r,t],0);case 3:return gx([r,t],0);case 4:return xx([r,t],0);default:throw new z(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function Ey(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new z(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return Rr(r,t)}function km(r,t=0,e=1,n,o){return Xu(r,t,e,n,o)}function ko(r,t,e,n){if(r.rank<2||t.rank<2)throw new vt(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new vt(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return cu.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?_S(r.rank,n,dn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=R(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=R(Pt(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return R(cu.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?_S(r.rank,n,dn()):null,activation:e}),p)}}function _y(r,t,e){return B(()=>(Array.isArray(t)?t=Ke(t,\"int32\"):t=J(t,\"int32\"),Mi(r,t,e)))}function cc(r){return D(r,r)}function _S(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new z(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1,1]):R(t,[1,n[3],n[0],n[1],n[2]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===4){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1,1]):R(t,[1,n[2],n[0],n[1]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===3){if(e===\"channelsFirst\")return n.length===1?R(t,[1,n[0],1]):R(t,[1,n[1],n[0]]);if(e===\"channelsLast\")return n.length===1?R(t,[1,1,n[0]]):R(t,[1].concat(n))}else if(r<3)return t;throw new z(`Unsupported input rank by biasAdd: ${t.rank}`)}function hn(r,t,e){return B(()=>(e==null&&(e=dn()),Oe(e),Y(r,_S(r.rank,t,e))))}function O$(r,t=1){if(t!==1)throw new vt(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pi(r)}function P$(r){return B(()=>ut(r,Y(Ee(r),1)))}function Ay(r,t,e,n){return B(()=>nS(r,t,e,n))}function L$(r){return B(()=>{let t=Y(.5,D(.2,r));return vr(t,0,1)})}function mu(r,t,e=!1){return e?r():t()}var M$=[\"fanIn\",\"fanOut\",\"fanAvg\"],z$=[\"normal\",\"uniform\",\"truncatedNormal\"];function P5(r){qi(M$,\"FanMode\",r)}function L5(r){qi(z$,\"Distribution\",r)}var gn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Em=class extends gn{apply(t,e){return Te(t,e)}};Em.className=\"Zeros\";Q.registerClass(Em);var fu=class extends gn{apply(t,e){return fr(t,e)}};fu.className=\"Ones\";Q.registerClass(fu);var _m=class extends gn{constructor(t){if(super(),typeof t!=\"object\")throw new z(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new z(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>D(pt(this.value),fr(t,e)))}getConfig(){return{value:this.value}}};_m.className=\"Constant\";Q.registerClass(_m);var Am=class extends gn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return Vi(t,this.minval,this.maxval,e,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Am.className=\"RandomUniform\";Q.registerClass(Am);var $m=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`randomNormal does not support dType ${e}.`);return km(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};$m.className=\"RandomNormal\";Q.registerClass($m);var Dm=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`truncatedNormal does not support dType ${e}.`);return wm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Dm.className=\"TruncatedNormal\";Q.registerClass(Dm);var Rm=class extends gn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new z(\"Identity matrix initializer can only be used for 2D square matrices.\");return D(this.gain,Hu(t[0]))})}getConfig(){return{gain:this.gain}}};Rm.className=\"Identity\";Q.registerClass(Rm);function M5(r,t=\"channelsLast\"){let e,n;if(Oe(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t===\"channelsFirst\"){let o=To(r,2);e=r[1]*o,n=r[0]*o}else if(t===\"channelsLast\"){let o=To(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=To(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var jr=class extends gn{constructor(t){if(super(),t.scale<0)throw new z(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?\"fanIn\":t.mode,P5(this.mode),this.distribution=t.distribution==null?\"normal\":t.distribution,L5(this.distribution),this.seed=t.seed}apply(t,e){let n=M5(t),o=n[0],s=n[1],i=this.scale;if(this.mode===\"fanIn\"?i/=Math.max(1,o):this.mode===\"fanOut\"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution===\"normal\"){let a=Math.sqrt(i);if(e=e||\"float32\",e!==\"float32\"&&e!==\"int32\")throw new vt(`${this.getClassName()} does not support dType ${e}.`);return wm(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return Vi(t,-a,a,e,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};jr.className=\"VarianceScaling\";Q.registerClass(jr);var pc=class extends jr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};pc.className=\"GlorotUniform\";Q.registerClass(pc);var mc=class extends jr{constructor(t){super({scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};mc.className=\"GlorotNormal\";Q.registerClass(mc);var fc=class extends jr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};fc.className=\"HeNormal\";Q.registerClass(fc);var dc=class extends jr{constructor(t){super({scale:2,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};dc.className=\"HeUniform\";Q.registerClass(dc);var hc=class extends jr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"normal\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};hc.className=\"LeCunNormal\";Q.registerClass(hc);var gc=class extends jr{constructor(t){super({scale:1,mode:\"fanIn\",distribution:\"uniform\",seed:t==null?null:t.seed})}getClassName(){return jr.className}};gc.className=\"LeCunUniform\";Q.registerClass(gc);var Fm=class extends gn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new vt(\"Random seed is not implemented for Orthogonal Initializer yet.\")}apply(t,e){return B(()=>{if(t.length<2)throw new vt(\"Shape must be at least 2D.\");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=km(n,0,1,\"float32\"),s=iS.gramSchmidt(o);return t[0]>t[1]&&(s=Pt(s)),D(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Fm.className=\"Orthogonal\";Q.registerClass(Fm);var B$={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",heUniform:\"HeUniform\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",leCunUniform:\"LeCunUniform\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function V$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"initializer\")}function ke(r){return Sm(r)}function de(r){if(typeof r==\"string\"){let t=r in B$?B$[r]:r;if(t===\"GlorotNormal\")return new mc;if(t===\"GlorotUniform\")return new pc;if(t===\"HeNormal\")return new fc;if(t===\"HeUniform\")return new dc;if(t===\"LeCunNormal\")return new hc;if(t===\"LeCunUniform\")return new gc;{let e={};return e.className=t,e.config={},V$(e)}}else return r instanceof gn?r:V$(r)}function $y(r){return Array.isArray(r)&&Array.isArray(r[0])}function Om(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function St(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new z(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Bt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new z(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Pm(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var W$=\"Variable\",vh=class{constructor(t,e=\"float32\",n=W$,o=!0,s=null){this.dtype=e==null?\"float32\":e,this.shape=t.shape,this.id=Sy(),n=n==null?W$:n,this.originalName=Ny(n),this.name=Ty(this.originalName),this.trainable_=o,this.constraint=s,this.val=ty(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),B5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function B5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(r.shape)+\" vs. \"+JSON.stringify(t.shape))}function Sh(r){return r.map(t=>t.read())}function Lm(r){r.forEach(t=>{t[0].write(t[1])})}var be=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},en=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=Sy(),i!=null&&(this.originalName=Ny(i),this.name=Ty(this.originalName)),this.rank=e.length}},V5=0,al=class{constructor(t,e){this.callArgs=e,this.id=V5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},G5=0,kt=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=G5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=So(n)+\"_\"+pu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o=\"float32\"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+\"_ib-\"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Kr(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new z(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Tr(this.getNodeAtIndex(t,\"input\").inputTensors)}getOutputAt(t){return Tr(this.getNodeAtIndex(t,\"output\").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use \\`getInputAt(nodeIndex)\\` instead.`);if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} is not connected, no input to return.`);return Tr(this.getNodeAtIndex(0,\"input\").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use \\`getOutputAt(nodeIndex)\\` instead.`);return Tr(this.getNodeAtIndex(0,\"output\").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")}assertInputCompatibility(t){if(t=ye(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=ye(this.inputSpec);if(t.length!==e.length)throw new z(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of ye(t))i.push(a.shape);this.build(Tr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=ye(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Tr(u),this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return i}else{let i=W5(t),a=this.computeOutputShape(i),u,l=U5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new en(l,c,this,ye(t),e,this.name,p)):u=new en(l,a,this,ye(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new vt(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Nn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new Nn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of \"output shape\" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Kr(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Pm(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Sh(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new z(`You called setWeights(weights) on layer \"${this.name}\" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=Sh(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=ye(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=ye(t);e=ye(e),n=ye(n),o=ye(o),s=Om(s),i=Om(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new al({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function W5(r){r=ye(r);let t=[];for(let e of r)t.push(e.shape);return Tr(t)}function U5(r){return\"float32\"}function $S(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(\",\")+\"|\"+t.names().sort().join(\",\"),p=Ry.get(c),m;if(p==null){let d=q5(i,t);p=d.sorted,m=d.recipientCounts,Ry.put(c,p),Fy.put(c,m)}m={},o||Object.assign(m,Fy.get(c));let f=new Eo(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>\"Expected at least one fetch, got none\");let e=[],n={};if(r.length===1){let o=U$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=U$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:K5(n)}}function K5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function U$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function j5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,H$);var j$={};Ut(j$,{maxNorm:()=>Y5,minMaxNorm:()=>Q5,nonNeg:()=>J5,unitNorm:()=>Z5});function DS(r,t){return B(()=>Se(mt(D(r,r),t,!0)))}var yc=class extends Q.Serializable{getConfig(){return{}}},Mm=class extends yc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=vr(e,0,this.maxValue);return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Mm.className=\"MaxNorm\";Q.registerClass(Mm);var zm=class extends yc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>ut(t,Y(ur(),DS(t,this.axis))))}getConfig(){return{axis:this.axis}}};zm.className=\"UnitNorm\";Q.registerClass(zm);var Bm=class extends yc{apply(t){return Or(t)}};Bm.className=\"NonNeg\";Q.registerClass(Bm);var Vm=class extends yc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=Y(D(this.rate,vr(e,this.minValue,this.maxValue)),D(1-this.rate,e));return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Vm.className=\"MinMaxNorm\";Q.registerClass(Vm);var q$={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function Be(r){return Sm(r)}function K$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"constraint\")}function Ve(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in q$?q$[r]:r,config:{}};return K$(e)}else return r instanceof yc?r:K$(r)}function Y5(r){return new Mm(r)}function Z5(r){return new zm(r)}function J5(){return new Bm}function Q5(r){return new Vm(r)}var X$={};Ut(X$,{constant:()=>r8,glorotNormal:()=>u8,glorotUniform:()=>l8,heNormal:()=>c8,heUniform:()=>p8,identity:()=>i8,leCunNormal:()=>m8,leCunUniform:()=>f8,ones:()=>e8,orthogonal:()=>d8,randomNormal:()=>o8,randomUniform:()=>n8,truncatedNormal:()=>s8,varianceScaling:()=>a8,zeros:()=>t8});function t8(){return new Em}function e8(){return new fu}function r8(r){return new _m(r)}function n8(r){return new Am(r)}function o8(r){return new $m(r)}function s8(r){return new Dm(r)}function i8(r){return new Rm(r)}function a8(r){return new jr(r)}function l8(r){return new pc(r)}function u8(r){return new mc(r)}function c8(r){return new fc(r)}function p8(r){return new dc(r)}function m8(r){return new hc(r)}function f8(r){return new gc(r)}function d8(r){return new Fm(r)}var ED={};Ut(ED,{Layer:()=>kt,RNN:()=>kn,RNNCell:()=>pl,activation:()=>$Y,add:()=>BY,alphaDropout:()=>vZ,average:()=>VY,averagePooling1d:()=>qS,averagePooling2d:()=>KS,averagePooling3d:()=>jS,avgPool1d:()=>YY,avgPool2d:()=>JY,avgPool3d:()=>tZ,avgPooling1d:()=>ZY,avgPooling2d:()=>QY,avgPooling3d:()=>eZ,batchNormalization:()=>KY,bidirectional:()=>hZ,categoryEncoding:()=>EZ,centerCrop:()=>TZ,concatenate:()=>GY,conv1d:()=>IY,conv2d:()=>vY,conv2dTranspose:()=>SY,conv3d:()=>NY,conv3dTranspose:()=>TY,convLstm2d:()=>pZ,convLstm2dCell:()=>mZ,cropping2D:()=>EY,dense:()=>DY,depthwiseConv2d:()=>AY,dot:()=>qY,dropout:()=>RY,elu:()=>gY,embedding:()=>zY,flatten:()=>OY,gaussianDropout:()=>IZ,gaussianNoise:()=>CZ,globalAveragePooling1d:()=>rZ,globalAveragePooling2d:()=>nZ,globalMaxPool1d:()=>xZ,globalMaxPool2d:()=>yZ,globalMaxPooling1d:()=>SD,globalMaxPooling2d:()=>ND,gru:()=>sZ,gruCell:()=>iZ,input:()=>BS,inputLayer:()=>hY,layerNormalization:()=>jY,leakyReLU:()=>yY,lstm:()=>aZ,lstmCell:()=>lZ,masking:()=>SZ,maxPool1d:()=>bZ,maxPool2d:()=>wZ,maxPooling1d:()=>TD,maxPooling2d:()=>kD,maxPooling3d:()=>oZ,maximum:()=>WY,minimum:()=>UY,multiply:()=>HY,permute:()=>MY,prelu:()=>bY,reLU:()=>xY,repeatVector:()=>PY,rescaling:()=>NZ,reshape:()=>LY,resizing:()=>kZ,rnn:()=>fZ,separableConv2d:()=>kY,simpleRNN:()=>uZ,simpleRNNCell:()=>cZ,softmax:()=>wY,spatialDropout1d:()=>FY,stackedRNNCells:()=>dZ,thresholdedReLU:()=>CY,timeDistributed:()=>gZ,upSampling2d:()=>_Y,zeroPadding2d:()=>XY});async function Ki(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!=\"number\"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sY(this.totals[o],D(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]==\"number\"?e[n]=this.totals[n]/this.seen:B(()=>{let o=D(ut(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Ly=class extends ll{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew My(n,t))}var xn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),xn.checkForDuplicate(e),xn.constructors[t]==null&&(xn.constructors[t]=[]),xn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in xn.constructors)xn.constructors[+e].forEach(o=>{if(o===t)throw new z(\"Duplicate callback constructor.\")})}static clear(){xn.constructors={}}static createCallbacks(t){let e=[];for(let n in xn.constructors){let o=+n;t>=o&&e.push(...xn.constructors[o])}return e.map(n=>new n)}};xn.constructors={};function By(r,t,e,n,o,s,i,a,u){let l=new Ly,c=[new RS,...xn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new Py(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function yn(r,t={},e=!1){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"layer\",e)}function Nh(r,t){return B(()=>{r.dtype!==\"float32\"&&(r=J(r,\"float32\"));let e=mt(cc(r),t,!0),n=yo(e.shape,ur()),o=Se(Sn(e,n));return ut(r,o)})}function ji(r,t){return B(()=>Ne(cc(lt(t,r)),-1))}function Gm(r,t){return B(()=>Ne(Ee(lt(t,r)),-1))}function du(r,t){return B(()=>{let e=lt(r,t),n=vr(Ee(r),ur(),Number.MAX_VALUE),o=Ee(ut(e,n));return D(100,Ne(o,-1))})}function g8(r,t){return B(()=>{let e=vr(t,ur(),Number.MAX_VALUE),n=Nr(Y(1,e)),o=vr(r,ur(),Number.MAX_VALUE),s=Nr(Y(1,o));return Ne(cc(lt(n,s)),-1)})}function x8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(cc(e),-1)})}function y8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(e,-1)})}function b8(r,t){return B(()=>{let e=mt(D(r,t),-1),n=Sr(D(lt(1,r),t),-1);return Sn(0,Y(1,lt(n,e)))})}function w8(r,t){return B(()=>{let e=Math.log(2),n=lt(t,r),o=lt(Y(n,Vs(D(-2,n))),e);return Ne(o,-1)})}function bc(r,t,e=!1){return B(()=>{if(e)t=au(t);else{let n=mt(t,t.shape.length-1,!0);t=ut(t,n)}return t=vr(t,ur(),1-ur()),qt(mt(D(J(r,\"float32\"),Nr(t)),t.shape.length-1))})}function Wm(r,t,e=!1){return B(()=>{let n=J(Li(R$(r)),\"int32\");t=vr(t,ur(),1-ur());let o=t.shape,s=R(Bi(n,o[o.length-1]),o);return bc(s,t,e)})}function C8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new z(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Or(t),n=qt(Ee(t));return Y(lt(e,D(t,r)),ru(sr(n)))})}function Um(r,t){return B(()=>{let e;return e=vr(t,ur(),1-ur()),e=Nr(ut(e,lt(1,e))),Ne(C8(r,e),-1)})}function I8(r,t){return B(()=>{let e=vr(r,ur(),1),n=vr(t,ur(),1);return mt(D(r,Nr(ut(e,n))),-1)})}function v8(r,t){return B(()=>{let e=Nr(Y(ur(),t));return Ne(lt(t,D(r,e)),-1)})}function kh(r,t){return B(()=>{let e=Nh(r,-1),n=Nh(t,-1),o=D(e,n);return qt(mt(o,-1))})}var Th={meanSquaredError:ji,meanAbsoluteError:Gm,meanAbsolutePercentageError:du,meanSquaredLogarithmicError:g8,squaredHinge:x8,hinge:y8,categoricalHinge:b8,logcosh:w8,categoricalCrossentropy:bc,sparseCategoricalCrossentropy:Wm,binaryCrossentropy:Um,kullbackLeiblerDivergence:I8,poisson:v8,cosineProximity:kh};function Vy(r){if(typeof r==\"string\"){if(r in Th)return Th[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes(\"softmaxcrossentropy\")&&(t=`Unknown loss ${r}. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy`),new z(t)}else return r}function Eh(r,t){return B(()=>{let e=D(.5,wr(t)),n=tn(Fe(t,e),r.dtype);return Ne(Dr(r,n),-1)})}function _h(r,t){return B(()=>tn(Dr(Ai(r,-1),Ai(t,-1)),\"float32\"))}function J$(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,1))),\"float32\"))}function S8(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,0))),\"float32\"))}function N8(r,t){return B(()=>J(mt(Fr(Dr(r,0),Dr(t,1))),\"float32\"))}function FS(r,t){return B(()=>{let e=J$(r,t),n=N8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),\"float32\")})}function Q$(r,t){return B(()=>{let e=J$(r,t),n=S8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),\"float32\")})}function Wy(r,t){return Um(r,t)}function Uy(r,t){return r.rank===t.rank&&(r=zn(r,[r.rank-1])),t=Ai(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J(Dr(r,t),\"float32\")}var T8=ji,k8=ji,E8=Gm,_8=Gm,A8=du,$8=du,Ah=bc,D8=kh,OS=Wm,Gy={binaryAccuracy:Eh,categoricalAccuracy:_h,precision:FS,categoricalCrossentropy:Ah,sparseCategoricalCrossentropy:OS,mse:T8,MSE:k8,mae:E8,MAE:_8,mape:A8,MAPE:$8,cosine:D8};function tD(r){if(typeof r==\"string\"&&r in Gy)return Gy[r];if(typeof r!=\"string\"&&r!=null)return r;throw new z(`Unknown metric ${r}`)}function $h(r){if(so(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r==\"string\")return r;{let t;for(let e of Object.keys(Th))if(Th[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Gy))if(Gy[e]===r){t=e;break}return t!==void 0?t:r.name}}function rD(r){let t={Adagrad:()=>lc.adagrad(.01),Adadelta:()=>lc.adadelta(1,.95,ur()),Adam:()=>lc.adam(.001,.9,.999,ur()),Adamax:()=>lc.adamax(.002,.9,.999,ur(),0),RMSProp:()=>lc.rmsprop(.001,.9,0,ur()),SGD:()=>lc.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new z(`Unknown Optimizer ${r}`)}function LS(r,t,e=!1){if(r==null||typeof r!=\"object\"||Object.getPrototypeOf(r)!==Object.prototype||!PS(r))throw new Error(\"User-defined metadata is expected to be a JSON object, but is not.\");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model \"${t}\" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function PS(r){if(r===null)return!0;if(typeof r==\"object\")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!=\"string\"||!PS(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!PS(t))return!1;return!0}else return!1;else{let t=typeof r;return t===\"string\"||t===\"number\"||t===\"boolean\"}}function nD(r,t,e,n=console.log){let o=O8(r),s=[\"Layer (type)\",\"Input Shape\",\"Output shape\",\"Param #\"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push(\"Receives inputs\"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n(\"_\".repeat(t)),Hy(s,e,n),n(\"=\".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Hy(r,t,e=console.log){let n=\"\";for(let o=0;o0&&(n=n.slice(0,n.length-1)+\" \"),n+=r[o],n=n.slice(0,t[o]),n+=\" \".repeat(t[o]-n.length);e(n)}function P8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(\",\")}catch(u){o=\"multiple\"}try{n=JSON.stringify(r.outputShape)}catch(u){n=\"multiple\"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];Hy(a,t,e)}function L8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(\",\")}catch(p){s=\"multiple\"}try{o=JSON.stringify(r.outputShape)}catch(p){o=\"multiple\"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);No(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;so(C===0,\"input layer has >1 nodes\"),so(N===0,\"input layer has >1 tensors\"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Kr(`The tensor ${b.name} at layer \"${N.name}\" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(Bn.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(wh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof Bn&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(wh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Kr(`Graph disconnected: cannot obtain value for tensor ${N} at layer \"${C.name}\". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Kr(`The name \"${b}\" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new z(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new z(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split(\"/\");a=u.slice(0,-2).concat([u[u.length-1]]).join(\"/\")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new z(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new z(`${i.length} of ${o} weights are not set: ${i}`)}Lm(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Hm}`,e.backend=\"TensorFlow.js\",e}toJSON(t,e=!0){let n=qy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=ye(t);let n=new Eo;for(let o=0;o{t=ye(t);let n;return e==null?n=vo(null,t.length):n=ye(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Om(t);if(e.length!==this.inputLayers.length)throw new z(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(wh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(wh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=ye(p.call(C,h)),w=ye(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=ye(p.call(g,h)),w=ye(p.computeMask(g,x));if(p.activityRegularizer)throw new vt(\"LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Tr(b),w)}function l(g){let x=g.name,b=yn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new z(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!w$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new z(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function M8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r==\"object\"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r==\"object\"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]==\"object\"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Ky(r,t){return M8(r,t,\"classWeight\")}async function jy(r,t,e,n){if(t!=null||n!=null)throw new Error(\"Support sampleWeight is not implemented yet\");if(e!=null){let o=B(()=>{if(r.shape.length===1)return an(r);if(r.shape.length===2){if(r.shape[1]>1)return Ai(r,1);if(r.shape[1]===1)return R(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());Nt(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Ke(i,\"float32\")}else return null}function sD(r,t){return D(r,t)}var z8=32;function lD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \\`{xs: xVal, ys: yVal}\\`, where the two values may be \\`tf.Tensor\\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=iD(\"input\",r.inputNames,e),i=iD(\"output\",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function iD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new z(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function B8(r){if(r.length===3)throw new vt(\"Validation with sample weights is not implemented yet.\");return{xs:r[0],ys:r[1]}}async function uD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig).\"),y.assert(e!=null,()=>\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),r.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(aD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=B8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>\"val_\"+g)):l=u.slice();let c=zy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=By(c,p,e.epochs,null,null,V8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;aD(e.validationData)?C=ye(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=ye(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?z8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new vt(\"Verbose mode is not implemented yet.\");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \\`batches\\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=G8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=lD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(Nt(m),u===0)for(let h=0;hY(s[h],D(d,g))),u>0&&Nt(x)}Nt(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \\`batches\\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function qm(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>sl(n,t,e-t)):sl(r,t,e-t)}function Yy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Yy(e,t)):_y(r,t.dtype===\"int32\"?t:J(t,\"int32\")))}function Zy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}function MS(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function W8(r){return r instanceof Ft}function zS(r){return Array.isArray(r)}function pD(r){return!W8(r)&&!zS(r)}function mD(r,t,e,n=!0,o=\"\"){if(t==null||t.length===0){if(r!=null){let i=!1;if(zS(r)&&r.length>0)i=!0;else if(pD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new z(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(pD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new z(`No data provided for \"${i}\". Need data for each key in: ${t}`);s.push(r[i])}}else if(zS(r)){if(r=r,r.length!==t.length)throw new z(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new z(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=MS(s),e!=null)for(let i=0;i=0&&l!==c)throw new z(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function U8(r,t,e){let n=No(r.map(s=>s.shape[0]));n.sort();let o=No(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new z(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new z(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new z(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function H8(r,t,e){let n=[ji,Um,bc];for(let o=0;o1)throw new z(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r==\"string\"||typeof r==\"function\")e=[r];else if(Array.isArray(r)||typeof r==\"object\")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var K8=\"layers-model\",Vn=class extends Bn{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new z(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");nD(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer==\"string\")this.optimizer_=rD(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Hr))throw new z(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!=\"string\"&&typeof t.loss!=\"function\"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new z(`Unknown entry in loss dictionary: \"${i}\". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output \"${i}\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Vy(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new z(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Vy(a))}else{let i=Vy(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+\"_loss\"))}});let o=q8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+\"_\"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Hs(\"metric\",()=>{for(let i=0;i{let c=\"\",p,m,f;for(let d of l){if(typeof d==\"string\"&&[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Um?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Eh:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Wy):this.lossFunctions[i]===Wm?[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=Uy:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=OS):[\"accuracy\",\"acc\"].indexOf(d)!==-1?m=_h:[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(m=Ah);let x;[\"accuracy\",\"acc\"].indexOf(d)!==-1?x=\"acc\":[\"crossentropy\",\"ce\"].indexOf(d)!==-1&&(x=\"ce\"),f=m,p=c+x}else f=tD(d),p=c+$h(d);let h;Hs(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Xy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Tr(l)}finally{_o(i[0],t),_o(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),cD(this,t,e)}checkNumSamples(t,e,n,o=\"steps\"){let s;if(n!=null){if(s=null,e!=null)throw new z(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new z(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new z(\"`outputs` is an empty Array, which is not allowed.\");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new Eo;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new z(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new z(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new vt(\"Verbose predictLoop() is not implemented yet.\");let s=Zy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=qm(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Tr(i.map(a=>oe(a,0)))})}predict(t,e={}){let n=MS(t);fD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Xy(o),this.predictLoop(n,o)}finally{_o(n,t)}}predictOnBatch(t){fD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Kr(\"You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).\");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new z(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error(\"sample weight is not supported yet.\");let l=null;if(o!=null){let c=Ky(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,\"steps\"),a=[];if(o>0)throw new vt(\"Verbose mode is not implemented yet.\");if(s!=null)throw new vt(\"steps mode in testLoop() is not implemented yet\");{let u=Zy(i,n),l=Ke(fn(0,i));for(let c=0;c1){let i=NS(t.slice(0,n),o);s+=`_${i}`}e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=Y(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;l0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new vt(\"validationData including sample weights is not supported yet.\"):new z(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await this.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=qm(o,F,P),i=o,o=qm(o,0,F),p=qm(s,F,P),a=s,s=qm(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);this.checkTrainableWeightsConsistency();let w=this.makeTrainFunction(),C=this.getDedupedMetricsNames(),N,_;g?(this.makeTestFunction(),N=this.testFunction,_=C.slice().concat(C.map(F=>\"val_\"+F))):(N=null,x=[],_=C.slice());let A=zy(n.callbacks,n.yieldEvery);return await this.fitLoop(w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{this.isTraining=!1,_o(o,t),_o(s,e),_o(i,t),_o(a,e),_o(c,u),_o(p,l),m!=null&&Nt(m)}}async fitLoop(t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new z(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");let g=this.checkNumSamples(e,o,f,\"steps_per_epoch\"),x;g!=null&&(x=fn(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=By(a,i,s,m,g,f,o,h,p);b.setModel(this),this.history=w,await b.onTrainBegin(),this.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=sl(_,P,V-P);F.batch=$,F.size=V-P;let W=Yy(e,G),q=t(W);for(let H=0;HSo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]==\"string\")t[o]=So(n[o]);else throw new Error(\"Serialization of non-string loss is not supported.\")}return t}getMetricIdentifiers(){if(typeof this.metrics==\"string\"||typeof this.metrics==\"function\")return[So($h(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>So($h(t)));{let t={};for(let e in this.metrics)t[e]=So($h(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error(\"Loading weight_metrics is not supported yet.\");if(t.loss_weights!=null)throw new Error(\"Loading loss_weights is not supported yet.\");if(t.sample_weight_mode!=null)throw new Error(\"Loading sample_weight_mode is not supported yet.\");let e=wc(t.optimizer_config),n=yn(e),o;if(typeof t.loss==\"string\")o=ol(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>ol(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=ol(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>ol(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=ol(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t==\"string\"){let l=Pr.getSaveHandlers(t);if(l.length===0)throw new z(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new z(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new z(\"LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");let n=await Pr.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:K8,generatedBy:`TensorFlow.js tfjs-layers v${Hm}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l=\"optimizer\",{data:c,specs:p}=await Pr.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=Pr.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(LS(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){LS(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Vn.className=\"Model\";Q.registerClass(Vn);var Jy=class extends Vn{};Jy.className=\"Functional\";Q.registerClass(Jy);async function dD(r,t){\"modelTopology\"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=wc(e),o=yn(n,t);if(r.weightsManifest!=null){let s=await Pr.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),Nt(s)}return o}async function hD(r,t){if(t==null&&(t={}),typeof r==\"string\"){let e=Pr.getLoadHandlers(r,t);if(e.length===0)e.push(Pr.browserHTTPRequest(r,t));else if(e.length>1)throw new z(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return j8(r,void 0,t)}async function j8(r,t,e){if(e==null&&(e={}),r.load==null)throw new z(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=yn(wc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new z(\"LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");let{modelWeights:l,optimizerWeights:c}=X8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),Nt(l),Nt(c.map(p=>p.tensor))}return a}function X8(r,t){let e=Pr.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group===\"optimizer\"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var Xi=class extends Vn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:pu(\"sequential_\"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new z(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof Xi||t instanceof Vn,n;if(e){if(n=t,n.outputs.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(n.inputs.length!==1)throw new z(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new z(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");let o=Dy({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+\"_input\"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new z(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new z(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=$S(this.outputs[0])}this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:vo(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Bt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Vn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Kr(\"The model needs to be compiled before being used.\");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className===\"Merge\")throw new z(\"Legacy serialization format not supported yet.\");s=e}else y.assert(e.layers!=null,()=>\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof Xi))throw new vt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=yn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new z(\"Cannot set the stopTraining property of a sequential model before it is compiled.\");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new z(\"Cannot get the stopTraining property of a sequential model before it is compiled.\");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};Xi.className=\"Sequential\";Q.registerClass(Xi);function Y8(r){return new Vn(r)}function Z8(r){return new Xi(r)}function BS(r){return Dy(r)}function J8(r,t){xn.registerCallbackConstructor(r,t)}var rn=class extends Q.Serializable{getConfig(){return{}}},Qy=class extends rn{apply(t,e=1){return O$(t,e)}};Qy.className=\"elu\";Q.registerClass(Qy);var tb=class extends rn{apply(t){return mm(t)}};tb.className=\"selu\";Q.registerClass(tb);var eb=class extends rn{apply(t){return Or(t)}};eb.className=\"relu\";Q.registerClass(eb);var rb=class extends rn{apply(t){return B(()=>zi(6,Or(t)))}};rb.className=\"relu6\";Q.registerClass(rb);var nb=class extends rn{apply(t){return t}};nb.className=\"linear\";Q.registerClass(nb);var ob=class extends rn{apply(t){return Qr(t)}};ob.className=\"sigmoid\";Q.registerClass(ob);var sb=class extends rn{apply(t){return L$(t)}};sb.className=\"hardSigmoid\";Q.registerClass(sb);var ib=class extends rn{apply(t){return Vs(t)}};ib.className=\"softplus\";Q.registerClass(ib);var ab=class extends rn{apply(t){return P$(t)}};ab.className=\"softsign\";Q.registerClass(ab);var lb=class extends rn{apply(t){return Di(t)}};lb.className=\"tanh\";Q.registerClass(lb);var Km=class extends rn{apply(t,e=-1){return au(t,e)}};Km.className=\"softmax\";Q.registerClass(Km);var ub=class extends rn{apply(t,e=-1){return im(t,e)}};ub.className=\"logSoftmax\";Q.registerClass(ub);var cb=class extends rn{apply(t,e=1){return B(()=>D(Qr(D(t,e)),t))}};cb.className=\"swish\";Q.registerClass(cb);var pb=class extends rn{apply(t){return B(()=>D(t,Di(Vs(t))))}};pb.className=\"mish\";Q.registerClass(pb);function js(r){return r.getClassName()}function VS(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"activation\")}function Xs(r){if(r==null){let t={};return t.className=\"linear\",t.config={},VS(t)}if(typeof r==\"string\"){let t={};return t.className=r,t.config={},VS(t)}else return r instanceof rn?r:VS(r)}function GS(r){if(r!=null&&typeof r!=\"object\")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var mb=class extends Q.Serializable{},hu=class extends mb{constructor(t){super(),GS(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Te([1]);return this.hasL1&&(e=Y(e,mt(D(this.l1,Ee(t))))),this.hasL2&&(e=Y(e,mt(D(this.l2,cc(t))))),R(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};hu.className=\"L1L2\";Q.registerClass(hu);function yD(r){return GS(r),new hu({l1:r!=null?r.l1:null,l2:0})}function bD(r){return GS(r),new hu({l2:r!=null?r.l2:null,l1:0})}var gD={l1l2:\"L1L2\"};function me(r){return Sm(r)}function xD(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function we(r){if(r==null)return null;if(typeof r==\"string\"){let e={className:r in gD?gD[r]:r,config:{}};return xD(e)}else return r instanceof mb?r:xD(r)}var jm=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=St(t);let n=Or(t);return this.maxValue!=null&&(n=vr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};jm.className=\"ReLU\";Q.registerClass(jm);var Xm=class extends kt{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=St(t);return eu(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};Xm.className=\"LeakyReLU\";Q.registerClass(Xm);var Ym=class extends kt{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER=\"zeros\",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=we(t.alphaRegularizer),this.alphaConstraint=Ve(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes==\"number\")this.sharedAxes=[t.sharedAxes];else throw new z(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Bt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight(\"alpha\",e,\"float32\",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Oe(t),t===\"channelsFirst\"?Pt(r,[0,2,3,1]):r))}function WS(r,t){return B(()=>(Oe(t),t===\"channelsFirst\"?Pt(r,[0,2,3,4,1]):r))}function tY(r,t,e,n=1,o=\"valid\",s,i=1){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.shape.length!==3)throw new z(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new z(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new z(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s===\"channelsFirst\"&&(r=Pt(r,[0,2,1])),o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");let a=tm(r,t,n,o===\"same\"?\"same\":\"valid\",\"NWC\",i);return e!=null&&(a=hn(a,e)),a})}function wD(r,t,e,n=[1,1],o=\"valid\",s,i,a=null){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==3&&r.rank!==4)throw new z(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new z(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Dh(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return u=cu.conv2d({x:u,filter:t,strides:n,pad:o===\"same\"?\"same\":\"valid\",dilations:i,dataFormat:\"NHWC\",bias:e,activation:a}),s===\"channelsFirst\"&&(u=Pt(u,[0,3,1,2])),u})}function eY(r,t,e,n=[1,1,1],o=\"valid\",s,i){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==4&&r.rank!==5)throw new z(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new z(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=WS(r,s);if(o===\"causal\")throw new vt(\"The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.\");return a=yx(a,t,n,o===\"same\"?\"same\":\"valid\",\"NDHWC\",i),e!=null&&(a=hn(a,e)),s===\"channelsFirst\"&&(a=Pt(a,[0,4,1,2,3])),a})}var Cc=class extends kt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",Cc.verifyArgs(e),this.rank=t,Qe(this.rank,\"rank\"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new vt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=gu(e.kernelSize,t,\"kernelSize\"),this.strides=gu(e.strides==null?1:e.strides,t,\"strides\"),this.padding=e.padding==null?\"valid\":e.padding,mn(this.padding),this.dataFormat=e.dataFormat==null?\"channelsLast\":e.dataFormat,Oe(this.dataFormat),this.activation=Xs(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Ve(e.biasConstraint),this.biasRegularizer=we(e.biasRegularizer),this.activityRegularizer=we(e.activityRegularizer),this.dilationRate=gu(e.dilationRate==null?1:e.dilationRate,t,\"dilationRate\"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new z(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new z(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate==\"number\")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new z(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(so(\"kernelSize\"in t,\"required key 'kernelSize' not in config\"),typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,3))throw new z(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:js(this.activation),useBias:this.useBias,biasInitializer:ke(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},xu=class extends Cc{constructor(t,e){super(t,e),this.kernel=null,xu.verifyArgs(e),this.filters=e.filters,Qe(this.filters,\"filters\"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Ve(e.kernelConstraint),this.kernelRegularizer=we(e.kernelRegularizer)}build(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight(\"kernel\",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=St(t);let n,o=this.bias==null?null:this.bias.read(),s=Iy(this.activation.getClassName());if(s!=null&&this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=tY(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=eY(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new vt(\"convolutions greater than 3D are not implemented yet.\");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Bt(t);let e=[],n=this.dataFormat===\"channelsLast\"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},ul=class extends xu{constructor(t){super(2,t),ul.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,2))throw new z(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};ul.className=\"Conv2D\";Q.registerClass(ul);var cl=class extends xu{constructor(t){super(3,t),cl.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new z(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};cl.className=\"Conv3D\";Q.registerClass(cl);var tf=class extends ul{constructor(t){if(super(t),this.inputSpec=[new be({ndim:4})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==4)throw new z(\"Input should have rank 4; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==4)throw new z(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat===\"channelsFirst\"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=Ys(u,m,c,this.padding),h=Ys(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Pt(n,[0,2,3,1]));let x=rm(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(x=Pt(x,[0,3,1,2])),this.bias!=null&&(x=hn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=Ys(e[o],u,i,this.padding),e[s]=Ys(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};tf.className=\"Conv2DTranspose\";Q.registerClass(tf);var ef=class extends cl{constructor(t){if(super(t),this.inputSpec=[new be({ndim:5})],this.padding!==\"same\"&&this.padding!==\"valid\")throw new z(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==5)throw new z(\"Input should have rank 5; Received input shape: \"+JSON.stringify(t));let e=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[e]==null)throw new z(\"The channel dimension of the inputs should be defined. Found `None`.\");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight(\"kernel\",o,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==5)throw new z(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat===\"channelsFirst\"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=Ys(l,h,m,this.padding),w=Ys(c,g,f,this.padding),C=Ys(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!==\"channelsLast\"&&(n=Pt(n,[0,2,3,4,1]));let _=wx(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!==\"channelsLast\"&&(_=Pt(_,[0,4,1,2,3])),this.bias!==null&&(_=hn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s,i;this.dataFormat===\"channelsFirst\"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=Ys(e[o],c,a,this.padding),e[s]=Ys(e[s],p,u,this.padding),e[i]=Ys(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};ef.className=\"Conv3DTranspose\";Q.registerClass(ef);var fb=class extends xu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",this.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new z(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new z(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(e.padding!=null&&e.padding!==\"same\"&&e.padding!==\"valid\")throw new z(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=we(e.depthwiseRegularizer),this.depthwiseConstraint=Ve(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=we(e.pointwiseRegularizer),this.pointwiseConstraint=Ve(e.pointwiseConstraint)}build(t){if(t=Bt(t),t.length{t=St(t);let n;if(this.rank===1)throw new vt(\"1D separable convolution is not implemented yet.\");return this.rank===2&&(this.dataFormat===\"channelsFirst\"&&(t=Pt(t,[0,2,3,1])),n=fm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,\"NHWC\")),this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat===\"channelsFirst\"&&(n=Pt(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.pointwiseInitializer=ke(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseConstraint),t.pointwiseConstraint=Be(this.pointwiseConstraint),t}};fb.className=\"SeparableConv\";var rf=class extends fb{constructor(t){super(2,t)}};rf.className=\"SeparableConv2D\";Q.registerClass(rf);var yu=class extends xu{constructor(t){super(1,t),yu.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!=\"number\"&&!Cy(t.kernelSize,\"number\",1,1))throw new z(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};yu.className=\"Conv1D\";Q.registerClass(yu);var nf=class extends kt{constructor(t){super(t),typeof t.cropping==\"number\"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]==\"number\"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?\"channelsLast\":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat===\"channelsFirst\"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=St(t),this.dataFormat===\"channelsLast\"){let n=Ih(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Ih(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Ih(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Ih(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};nf.className=\"Cropping2D\";Q.registerClass(nf);var of=class extends kt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),this.interpolation=t.interpolation==null?\"nearest\":t.interpolation,_$(this.interpolation)}computeOutputShape(t){if(this.dataFormat===\"channelsFirst\"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=St(t),o=n.shape;if(this.dataFormat===\"channelsFirst\"){n=Pt(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation===\"nearest\"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i]);return Pt(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation===\"nearest\"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};of.className=\"UpSampling2D\";Q.registerClass(of);function rY(r,t,e=[1,1],n=\"valid\",o,s){return B(()=>{o==null&&(o=dn()),Oe(o);let i=Dh(r,o);if(r.rank!==4)throw new z(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new z(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Oi(i,t,e,n===\"same\"?\"same\":\"valid\",\"NHWC\",s),o===\"channelsFirst\"&&(i=Pt(i,[0,3,1,2])),i})}var sf=class extends Cc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Ve(t.depthwiseConstraint),this.depthwiseRegularizer=we(t.depthwiseRegularizer)}build(t){if(t=Bt(t),t.length<4)throw new z(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat===\"channelsFirst\"?1:3;if(t[e]==null||t[e]<0)throw new z(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=St(t);let n=rY(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Tn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Tn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat===\"channelsFirst\"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseRegularizer),t}};sf.className=\"DepthwiseConv2D\";Q.registerClass(sf);function US(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new z(\"When inputs is an array, neither initialState or constants should be provided\");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function HS(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new z(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(fn(2,u));if(t=Pt(t,l),s!=null)throw new vt(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");i&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),o!=null&&(o=J(J(o,\"bool\"),\"float32\"),o.rank===u-1&&(o=ir(o,-1)),o=Pt(o,l)),n&&(t=dr(t,0),o!=null&&(o=dr(o,0)));let c=[],p,m=e,f=t.shape[0],d=gr(t),h;o!=null&&(h=gr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=lt(wr(N),N),A=Y(D(w[0],N),D(m[0],_)),$=m.map((F,P)=>Y(D(w[1][P],N),D(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=qe(c,1)),[p,g,m]})}var kn=class extends kt{constructor(t){super(t);let e;if(t.cell==null)throw new z(\"cell property is missing for the constructor of RNN.\");if(Array.isArray(t.cell)?e=new Sc({cells:t.cell}):e=t.cell,e.stateSize==null)throw new z(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new be({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return fn(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){$y(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new z(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new be({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape[0];if(n==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_=[Te([n,this.cell.stateSize])];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_[0]=Te([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new be({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof en){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=St(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new z(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");let a={training:o},l=HS((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Te(t.shape);return e=mt(e,[1,2]),e=il(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ey(e,[1,n]):e):this.cell.stateSize>1?[Ey(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===kn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),t),e)}static fromConfig(t,e,n={}){let o=e.cell,s=yn(o,n);return new t(Object.assign(e,{cell:s}))}};kn.className=\"RNN\";Q.registerClass(kn);var pl=class extends kt{},Ic=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t),this.kernel=this.addWeight(\"kernel\",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0wr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0wr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=ko(D(t,i),this.kernel.read()):s=ko(t,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),a!=null&&(n=D(n,a));let u=Y(s,ko(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),recurrentInitializer:ke(this.recurrentInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),recurrentConstraint:Be(this.recurrentConstraint),biasConstraint:Be(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}};Ic.className=\"SimpleRNNCell\";Q.registerClass(Ic);var af=class extends kn{constructor(t){t.cell=new Ic(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};af.className=\"SimpleRNN\";Q.registerClass(af);var vc=class extends pl{constructor(t){if(super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.resetAfter)throw new z(\"GRUCell does not support reset_after parameter set to true.\");this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t);let e=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0wr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};lf.className=\"GRU\";Q.registerClass(lf);var ml=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION=\"tanh\",this.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Bt(t);let n=t[t.length-1];this.kernel=this.addWeight(\"kernel\",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends gn{apply(u,l){let c=s.apply([i]),p=new fu().apply([i]),m=s.apply([i*2]);return AS(AS(c,p),m)}},e.className=\"CustomInit\",e)}else o=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new z(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0wr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};uf.className=\"LSTM\";Q.registerClass(uf);var Sc=class extends pl{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Hs(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(yn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return Sh(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ay(t(),e),a=()=>mu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var nY=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols==\"function\")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new z(\"ConvRNN2D cell does not support constants\");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Te(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new z(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_=[Te(s)];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_[0]=Te(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e===\"channelsFirst\",l=t[u?3:2],c=t[u?4:3],p=Tn(l,o[0],s,i[0],a[0]),m=Tn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};db.className=\"ConvRNN2D\";var Nc=class extends ml{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,Qe(this.filters,\"filters\"),this.kernelSize=gu(n,2,\"kernelSize\"),this.kernelSize.forEach(u=>Qe(u,\"kernelSize\")),this.strides=gu(o||1,2,\"strides\"),this.strides.forEach(u=>Qe(u,\"strides\")),this.padding=s||\"valid\",mn(this.padding),this.dataFormat=i||\"channelsLast\",Oe(this.dataFormat),this.dilationRate=gu(a||1,2,\"dilationRate\"),this.dilationRate.forEach(u=>Qe(u,\"dilationRate\"))}build(t){var e;t=Bt(t);let n=this.dataFormat===\"channelsFirst\"?1:t.length-1;if(t[n]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight(\"recurrent_kernel\",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends gn{apply(m,f){let d=l.apply([c]),h=fr([c]),g=l.apply([c*2]);return Tm([d,h,g])}},e.className=\"CustomInit\",e)}else u=this.biasInitializer;this.bias=this.addWeight(\"bias\",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new z(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0wr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:D(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0wr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=hr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?hr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=hr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let K=this.recurrentActivation.apply(Y(c,h)),X=this.recurrentActivation.apply(Y(p,g)),Z=Y(D(X,i),D(K,this.activation.apply(Y(m,x)))),et=D(this.recurrentActivation.apply(Y(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=nY(t,[\"units\"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),o)}inputConv(t,e,n,o){let s=vn(t,e,this.strides,o||\"valid\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\",this.dilationRate);return n?hn(s,n,this.dataFormat):s}recurrentConv(t,e){return vn(t,e,1,\"same\",this.dataFormat===\"channelsFirst\"?\"NCHW\":\"NHWC\")}};Nc.className=\"ConvLSTM2DCell\";Q.registerClass(Nc);var cf=class extends db{constructor(t){let e=new Nc(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}};cf.className=\"ConvLSTM2D\";Q.registerClass(cf);var Tc=class extends kt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);if(0Ay(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};Tc.className=\"Dropout\";Q.registerClass(Tc);var pf=class extends Tc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};pf.className=\"SpatialDropout1D\";Q.registerClass(pf);var mf=class extends kt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",this.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Qe(this.units,\"units\"),this.activation=Xs(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Ve(t.kernelConstraint),this.biasConstraint=Ve(t.biasConstraint),this.kernelRegularizer=we(t.kernelRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Bt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight(\"kernel\",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Bt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=Iy(this.activation.getClassName()),s;return o!=null?s=ko(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=ko(n,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};mf.className=\"Dense\";Q.registerClass(mf);var ff=class extends kt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Bt(t);for(let e of t.slice(1))if(e==null)throw new z(`The shape of the input to \"Flatten\" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.`);return[t[0],To(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);if(this.dataFormat===\"channelsFirst\"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=St(t);return this.activation.apply(n)})}getConfig(){let t={activation:js(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};df.className=\"Activation\";Q.registerClass(df);var hf=class extends kt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=St(t),D$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};hf.className=\"RepeatVector\";Q.registerClass(hf);var gf=class extends kt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=St(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return R(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};gf.className=\"Reshape\";Q.registerClass(gf);var xf=class extends kt{constructor(t){if(super(t),t.dims==null)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \\`dims\\` to be an Array, but received ${t.dims} instead.`);let e=fn(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new be({ndim:this.dims.length+1})]}computeOutputShape(t){t=Bt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Pt(St(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};xf.className=\"Permute\";Q.registerClass(xf);var yf=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=St(t),o=-1;return Gu(Gs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=-1,s=!0,i=Gu(Gs(n,this.maskValue),o,s);return D(n,J(i,n.dtype))})}};yf.className=\"Masking\";Q.registerClass(yf);var bf=class extends kt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(ye(t.inputLength))}this.inputDim=t.inputDim,Qe(this.inputDim,\"inputDim\"),this.outputDim=t.outputDim,Qe(this.outputDim,\"outputDim\"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=we(t.embeddingsRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.embeddingsConstraint=Ve(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=St(t),Gs(t,It(t))):null)}computeOutputShape(t){if(t=Bt(t),this.inputLength==null)return[...t,this.outputDim];let e=ye(this.inputLength);if(e.length!==t.length-1)throw new z(`\"inputLength\" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);n.dtype!==\"int32\"&&(n=tn(n,\"int32\"));let o=_y(this.embeddings.read(),R(n,[n.size]));return R(o,Bt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ke(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:Be(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};bf.className=\"Embedding\";Q.registerClass(bf);var dl=class extends kt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new vt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new z(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&No(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=qs(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=fn(1,l).concat([0]);n.push(Pt(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=R(Pt(R(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(fn(0,a-1));i=Pt(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an Array\");if(!Array.isArray(t))throw new z(\"`inputs` should be an Array\");if(e.length!==t.length)throw new z(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:ir(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new z(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(t))}mergeFunction(t){return B(()=>Tm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new z(\"A `Concatenate` layer should be called on a list of inputs.\");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new z(\"`mask` should be an array for Concatenate\");if(!Array.isArray(t))throw new z(\"`inputs` should be an array for Concatenate\");if(e.length!==t.length)throw new z(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new vt(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e==\"number\"&&(e=[e,e]),r.dtype===\"complex64\"||t.dtype===\"complex64\")throw new vt(\"batchDot is not implemented for complex64-type Tensors yet.\");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new z(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new z(`A \\`Dot\\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>Rh(s,t[i].shape.length)):o=[Rh(this.axes,e.shape.length),Rh(this.axes,n.shape.length)],this.normalize&&(e=Nh(e,o[0]),n=Nh(n,o[1])),oY(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[Rh(this.axes,t.length),Rh(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>\"A `Dot` layer should be called on a list of exactly 2 inputs.\");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new vt(\"Dot layer does not support tensors of 4D or higher rank yet.\");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Tf.className=\"Dot\";Q.registerClass(Tf);var kf=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return mu(()=>Y(km(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};kf.className=\"GaussianNoise\";Q.registerClass(kf);var Ef=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return this.rate>0&&this.rate<1?mu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return D(n,km(n.shape,1,s))},()=>n,e.training||!1):n})}};Ef.className=\"GaussianDropout\";Q.registerClass(Ef);var _f=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||St(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return mu(()=>{let s=St(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=un(Vi(n),this.rate);l=tn(l,\"float32\");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=Y(D(s,l),D(Y(l,-1),u));return Y(D(m,c),p)},()=>St(t),e.training||!1)}return t})}};_f.className=\"AlphaDropout\";Q.registerClass(_f);function Fh(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=ux(r,t,e,n,o,s);else if(r.rank===3)i=cx(r,t,e,n,o,s);else if(r.rank===4)i=px(r,t,e,n,o,s);else throw new vt(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function sY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance;return[Fh(r,i,a,e,t,o),i,a]})}function iY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance,u=[];for(let d of fn(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=R(i,u),c=R(a,u),p=t==null?null:R(t,u),m=e==null?null:R(e,u);return[Fh(r,l,c,m,p,o),i,a]})}function aY(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),fn(0,r.rank-1))?sY(r,t,e,n,o):iY(r,t,e,n,o)}var Af=class extends kt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.movingMeanInitializer=de(t.movingMeanInitializer||\"zeros\"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||\"ones\"),this.betaConstraint=Ve(t.betaConstraint),this.gammaConstraint=Ve(t.gammaConstraint),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer)}build(t){t=Bt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new z(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new be({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=St(t),s=o.shape,i=s.length,a=fn(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=vo(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,fn(0,i).slice(0,i-1)),m=()=>{if(p){let b=R(this.movingMean.read(),l),w=R(this.movingVariance.read(),l),C=this.center?R(this.beta.read(),l):null,N=this.scale?R(this.gamma.read(),l):null;return Fh(o,b,w,C,N,this.epsilon)}else return Fh(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=aY(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=D(lt(_,w),N);b.write(lt(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ke(this.betaInitializer),gammaInitializer:ke(this.gammaInitializer),movingMeanInitializer:ke(this.movingMeanInitializer),movingVarianceInitializer:ke(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:Be(this.betaConstraint),gammaConstraint:Be(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};Af.className=\"BatchNormalization\";Q.registerClass(Af);var $f=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis==\"number\"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||\"zeros\"),this.gammaInitializer=de(t.gammaInitializer||\"ones\"),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Bt(t);let e=t.length;typeof this.axis==\"number\"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==No(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight(\"gamma\",n,\"float32\",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight(\"beta\",n,\"float32\",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=St(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=qu(n,this.axis,!0),l=vo(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?R(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new z(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new z(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(e==null&&(e=dn()),e!==\"channelsLast\"&&e!==\"channelsFirst\")throw new z(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e===\"channelsFirst\"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],pn(r,n)})}var Df=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?dn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding==\"number\")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new z(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]==\"number\")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new z(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new z(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e,n;return this.dataFormat===\"channelsFirst\"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>lY(St(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};Df.className=\"ZeroPadding2D\";Q.registerClass(Df);function wb(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1]),n==null&&(n=\"valid\"),o==null&&(o=dn()),s==null&&(s=\"max\"),r=Dh(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=ou(r,t,e,a):i=Zl(r,t,e,a),o===\"channelsFirst\"&&(i=Pt(i,[0,3,1,2])),i})}function CD(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1,1]),n==null&&(n=\"valid\"),o==null&&(o=dn()),s==null&&(s=\"max\"),r=WS(r,o);let i,a=n===\"same\"?\"same\":\"valid\";return s===\"max\"?i=Lx(r,t,e,a):i=lx(r,t,e,a),o===\"channelsFirst\"&&(i=Pt(i,[0,4,1,2,3])),i})}var hb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize==\"number\")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]==\"number\")this.poolSize=t.poolSize;else throw new z(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Qe(this.poolSize,\"poolSize\"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides==\"number\")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]==\"number\")this.strides=t.strides;else throw new z(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,mn(this.padding),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){t=Bt(t);let e=Tn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=il(St(t),2);let n=this.poolingFunction(St(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,\"channelsLast\");return zn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},Rf=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"max\")}};Rf.className=\"MaxPooling1D\";Q.registerClass(Rf);var Ff=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"avg\")}};Ff.className=\"AveragePooling1D\";Q.registerClass(Ff);var gb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new z(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Qe(this.poolSize,\"poolSize\"),Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Of=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"max\")}};Of.className=\"MaxPooling2D\";Q.registerClass(Of);var Pf=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,\"avg\")}};Pf.className=\"AveragePooling2D\";Q.registerClass(Pf);var xb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new z(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Qe(this.poolSize,\"poolSize\"),Qe(this.strides,\"strides\"),this.padding=t.padding==null?\"valid\":t.padding,this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:5})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat===\"channelsFirst\"?t[2]:t[1],n=this.dataFormat===\"channelsFirst\"?t[3]:t[2],o=this.dataFormat===\"channelsFirst\"?t[4]:t[3];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),o=Tn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat===\"channelsFirst\"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Lf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,\"max\")}};Lf.className=\"MaxPooling3D\";Q.registerClass(Lf);var Mf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,\"avg\")}};Mf.className=\"AveragePooling3D\";Q.registerClass(Mf);var yb=class extends kt{constructor(t){super(t),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new vt}},zf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Ne(n,1)})}};zf.className=\"GlobalAveragePooling1D\";Q.registerClass(zf);var Bf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Sr(n,1)})}};Bf.className=\"GlobalMaxPooling1D\";Q.registerClass(Bf);var bb=class extends kt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?\"channelsLast\":t.dataFormat,Oe(this.dataFormat),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat===\"channelsLast\"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new vt}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Vf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat===\"channelsLast\"?Ne(n,[1,2]):Ne(n,[2,3])})}};Vf.className=\"GlobalAveragePooling2D\";Q.registerClass(Vf);var Gf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat===\"channelsLast\"?Sr(n,[1,2]):Sr(n,[2,3])})}};Gf.className=\"GlobalMaxPooling2D\";Q.registerClass(Gf);var Cb=class extends kt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=yn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Wf=class extends Cb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Bt(t),t.length<3)throw new z(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Bt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=St(t),HS((i,a)=>[St(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Wf.className=\"TimeDistributed\";Q.registerClass(Wf);function uY(r){qi(k$,\"BidirectionalMergeMode\",r)}var cY=\"concat\",Uf=class extends Cb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=yn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=yn(o),this.forwardLayer.name=\"forward_\"+this.forwardLayer.name,this.backwardLayer.name=\"backward_\"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?cY:t.mergeMode,uY(this.mergeMode),t.weights)throw new vt(\"weights support is not implemented for Bidirectional layer yet.\");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode===\"concat\"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Tr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new z(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");e.initialState=n,i.push(...n);let c=n.map(p=>new be({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new vt(\"Support for constants in Bidirectional layers is not implemented yet.\");let u=i[0]instanceof en;for(let l of i)if(l instanceof en!==u)throw new z(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=dr(s,1));let a;return this.mergeMode===\"concat\"?a=Tm([o,s]):this.mergeMode===\"sum\"?a=Y(o,s):this.mergeMode===\"ave\"?a=D(.5,Y(o,s)):this.mergeMode===\"mul\"?a=D(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Hs(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Hs(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=yn(e.layer);if(delete e.layer,e.numConstants!=null)throw new vt(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");let o=e;return o.layer=n,new t(o)}};Uf.className=\"Bidirectional\";Q.registerClass(Uf);var Hf=class extends kt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=St(t),t.dtype!==\"float32\"&&(t=tn(t,\"float32\")),Y(D(t,this.scale),this.offset)))}};Hf.className=\"Rescaling\";Q.registerClass(Hf);var{resizeBilinear:pY,cropAndResize:mY}=oo,qf=class extends kt{constructor(t){super(t),this.height=t.height,this.width=t.width}centerCrop(t,e,n,o,s,i,a,u){return B(()=>{let l,c=!1,p=e/i,m=n/a,f=(o+e)/i,d=(s+n)/a,h=[p,m,f,d],g=[];t.rank===3?(c=!0,l=qe([t])):l=t;for(let N=0;N{let s=pY(t,[e,n]);return tn(s,o)})}call(t,e){return B(()=>{let n=St(t),o=n.dtype,s=n.shape,i=s[s.length-3],a=s[s.length-2],u=0;i!==this.height&&(u=Math.floor((i-this.height)/2));let l=0;return a!==this.width&&(l=Math.floor((a-this.width)/2),l===0&&(l=1)),u>=0&&l>=0?this.centerCrop(n,u,l,this.height,this.width,i,a,o):this.upsize(t,this.height,this.width,o)})}getConfig(){let t={height:this.height,width:this.width},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){t=Bt(t);let e=t.length-3,n=t.length-2;return t[e]=this.height,t[n]=this.width,t}};qf.className=\"CenterCrop\";Q.registerClass(qf);function ID(r,t,e,n){let o=St(r);if(o.dtype!==\"int32\"&&(o=tn(o,\"int32\")),t===\"int\")return o;let s=o.shape;if(o.rank===0&&(o=ir(o,-1)),t===\"oneHot\"&&o.shape[o.shape.length-1]!==1&&(o=ir(o,-1)),o.rank>2)throw new z(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${o.rank}.`);let i=[\"multiHot\",\"oneHot\"].includes(t),a=o,u;if(typeof n!=\"undefined\"&&t===\"count\"?u=ah(a,n,e,i):u=ah(a,[],e,i),t!==\"tfIdf\")return u;if(n)return D(u,n);throw new z(\"When outputMode is 'tfIdf', weights must be provided.\")}var Kf=class extends kt{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode=\"multiHot\"}getConfig(){let t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Bt(t),t==null?[this.numTokens]:this.outputMode===\"oneHot\"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return B(()=>{t=St(t),t.dtype!==\"int32\"&&(t=tn(t,\"int32\"));let n;if(typeof e.countWeights!=\"undefined\"){if(this.outputMode!==\"count\")throw new z(`countWeights is not used when outputMode !== count.\n Received countWeights=${e.countWeights}`);n=St(e.countWeights)}let o=Sr(t),s=Ja(t),i=Fe(this.numTokens,o).bufferSync().get(0),a=un(s,0).bufferSync().get(0);if(!(i&&a))throw new z(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return ID(t,this.outputMode,this.numTokens,n)})}};Kf.className=\"CategoryEncoding\";Q.registerClass(Kf);var dY=[\"bilinear\",\"nearest\"],vD=new Set(dY),jf=class extends kt{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(vD.has(t.interpolation))this.interpolation=t.interpolation;else throw new z(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation=\"bilinear\";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation===\"bilinear\")return oo.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation===\"nearest\")return oo.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...vD]} are supported`)})}};jf.className=\"Resizing\";Q.registerClass(jf);function hY(r){return new Ks(r)}function gY(r){return new Zm(r)}function xY(r){return new jm(r)}function yY(r){return new Xm(r)}function bY(r){return new Ym(r)}function wY(r){return new Qm(r)}function CY(r){return new Jm(r)}function IY(r){return new yu(r)}function vY(r){return new ul(r)}function SY(r){return new tf(r)}function NY(r){return new cl(r)}function TY(r){return new ef(r)}function kY(r){return new rf(r)}function EY(r){return new nf(r)}function _Y(r){return new of(r)}function AY(r){return new sf(r)}function $Y(r){return new df(r)}function DY(r){return new mf(r)}function RY(r){return new Tc(r)}function FY(r){return new pf(r)}function OY(r){return new ff(r)}function PY(r){return new hf(r)}function LY(r){return new gf(r)}function MY(r){return new xf(r)}function zY(r){return new bf(r)}function BY(r){return new wf(r)}function VY(r){return new If(r)}function GY(r){return new Nf(r)}function WY(r){return new vf(r)}function UY(r){return new Sf(r)}function HY(r){return new Cf(r)}function qY(r){return new Tf(r)}function KY(r){return new Af(r)}function jY(r){return new $f(r)}function XY(r){return new Df(r)}function qS(r){return new Ff(r)}function YY(r){return qS(r)}function ZY(r){return qS(r)}function KS(r){return new Pf(r)}function JY(r){return KS(r)}function QY(r){return KS(r)}function jS(r){return new Mf(r)}function tZ(r){return jS(r)}function eZ(r){return jS(r)}function rZ(r){return new zf(r)}function nZ(r){return new Vf(r)}function SD(r){return new Bf(r)}function ND(r){return new Gf(r)}function TD(r){return new Rf(r)}function kD(r){return new Of(r)}function oZ(r){return new Lf(r)}function sZ(r){return new lf(r)}function iZ(r){return new vc(r)}function aZ(r){return new uf(r)}function lZ(r){return new ml(r)}function uZ(r){return new af(r)}function cZ(r){return new Ic(r)}function pZ(r){return new cf(r)}function mZ(r){return new Nc(r)}function fZ(r){return new kn(r)}function dZ(r){return new Sc(r)}function hZ(r){return new Uf(r)}function gZ(r){return new Wf(r)}var xZ=SD,yZ=ND,bZ=TD,wZ=kD;function CZ(r){return new kf(r)}function IZ(r){return new Ef(r)}function vZ(r){return new _f(r)}function SZ(r){return new yf(r)}function NZ(r){return new Hf(r)}function TZ(r){return new qf(r)}function kZ(r){return new jf(r)}function EZ(r){return new Kf(r)}var _D={};Ut(_D,{MAPE:()=>zZ,MSE:()=>GZ,binaryAccuracy:()=>_Z,binaryCrossentropy:()=>AZ,categoricalAccuracy:()=>DZ,categoricalCrossentropy:()=>RZ,cosineProximity:()=>PZ,mape:()=>BZ,meanAbsoluteError:()=>LZ,meanAbsolutePercentageError:()=>MZ,meanSquaredError:()=>VZ,mse:()=>WZ,precision:()=>FZ,recall:()=>OZ,sparseCategoricalAccuracy:()=>$Z});function _Z(r,t){return Eh(r,t)}function AZ(r,t){return Wy(r,t)}function $Z(r,t){return Uy(r,t)}function DZ(r,t){return _h(r,t)}function RZ(r,t){return Ah(r,t)}function FZ(r,t){return FS(r,t)}function OZ(r,t){return Q$(r,t)}function PZ(r,t){return kh(r,t)}function LZ(r,t){return Gm(r,t)}function MZ(r,t){return du(r,t)}function zZ(r,t){return du(r,t)}function BZ(r,t){return du(r,t)}function VZ(r,t){return ji(r,t)}function GZ(r,t){return ji(r,t)}function WZ(r,t){return ji(r,t)}var AD={};Ut(AD,{modelFromJSON:()=>dD});var $D={};Ut($D,{l1:()=>HZ,l1l2:()=>UZ,l2:()=>qZ});function UZ(r){return new hu(r)}function HZ(r){return yD(r)}function qZ(r){return bD(r)}var vb=class extends ll{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Vn))throw new Error(\"model must be a LayersModel, not some other Container\");this.model=t}};function Ib(r,t){return rt}var Sb=class extends vb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt(\"restoreBestWeights = True is not implemented in EarlyStopping yet.\");this.monitor=t.monitor||\"val_loss\",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||\"auto\",this.baseline=t.baseline,[\"auto\",\"min\",\"max\"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode=\"auto\"),this.mode===\"min\"?this.monitorFunc=Ib:this.mode===\"max\"?this.monitorFunc=DD:this.monitor.indexOf(\"acc\")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ki(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function KZ(r){return new Sb(r)}var jZ={earlyStopping:KZ};var XZ=M();XZ.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var io;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(io||(io={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]=\"LEGACY\",e[e.V1=1]=\"V1\",e[e.V2=2]=\"V2\"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var XS={};function ZZ(r,t){let e={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:t};XS[r]=e}function Nb(r){return XS[r]}function JZ(r){delete XS[r]}function I(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type===\"tensor\")return Cr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type===\"tensors\")return t.inputNames.slice(a,u).map(m=>Cr(m,e,n,o));let l=Cr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type===\"number\"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function Cr(r,t,e,n){let[o,s]=bn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function Zs(r,t){let[e,n,o]=bn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function bn(r){let t=r.split(\":\");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Oh(r,t,e){let n=I(\"pad\",r,t,e);if(n===\"explicit\"){n=I(\"explicitPaddings\",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Js(r){return r.kept?r:an(r)}var YS={};Ut(YS,{json:()=>QZ});var QZ=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var ZS={};Ut(ZS,{json:()=>t7});var t7=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prod\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axes\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var JS={};Ut(JS,{json:()=>e7});var e7=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var QS={};Ut(QS,{json:()=>r7});var r7=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var tN={};Ut(tN,{json:()=>n7});var n7=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var eN={};Ut(eN,{json:()=>o7});var o7=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var rN={};Ut(rN,{json:()=>s7});var s7=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var nN={};Ut(nN,{json:()=>i7});var i7=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var oN={};Ut(oN,{json:()=>a7});var a7=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"InitializeTable\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]},{tfOpName:\"InitializeTableV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]}];var sN={};Ut(sN,{json:()=>l7});var l7=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var iN={};Ut(iN,{json:()=>u7});var u7=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var aN={};Ut(aN,{json:()=>c7});var c7=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]}];var lN={};Ut(lN,{json:()=>p7});var p7=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"normalization\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!0,notSupported:!0}]}];var uN={};Ut(uN,{json:()=>m7});var m7=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var cN={};Ut(cN,{json:()=>f7});var f7=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}];var pN={};Ut(pN,{json:()=>d7});var d7=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var mN={};Ut(mN,{json:()=>h7});var h7=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var fN={};Ut(fN,{json:()=>g7});var g7=[{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var dN={};Ut(dN,{json:()=>x7});var x7=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var Ph=class{constructor(){let t=[YS,ZS,JS,QS,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN,pN,mN,fN,dN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?o.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Zs(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Zs(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Zs(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith(\"^\")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case\"string\":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op===\"Const\"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Zs(p.name),f={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:hN(p.type),type:\"dtype\"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Zs(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Zs(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function y7(r){let t=M().global;if(typeof t.atob!=\"undefined\")return t.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):y7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o==\"number\"?o:parseInt(o,10)}function hN(r){switch(typeof r==\"string\"&&(r=io[r]),r){case io.DT_FLOAT:case io.DT_HALF:return\"float32\";case io.DT_INT32:case io.DT_INT64:case io.DT_INT8:case io.DT_UINT8:return\"int32\";case io.DT_BOOL:return\"bool\";case io.DT_DOUBLE:return\"float32\";case io.DT_STRING:return\"string\";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?hN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>hN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size==\"number\"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o==\"number\"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return Cr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return Cr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var se={};Ut(se,{OP_SCOPE_SUFFIX:()=>A0,abs:()=>Ee,acos:()=>tx,acosh:()=>ex,add:()=>Y,addN:()=>uE,all:()=>Jp,any:()=>Gu,argMax:()=>Ai,argMin:()=>rx,asin:()=>nx,asinh:()=>ox,atan:()=>sx,atan2:()=>ix,atanh:()=>ax,avgPool:()=>Zl,avgPool3d:()=>lx,basicLSTMCell:()=>mE,batchNorm:()=>Ri,batchNorm2d:()=>ux,batchNorm3d:()=>cx,batchNorm4d:()=>px,batchToSpaceND:()=>Jl,bincount:()=>mx,booleanMaskAsync:()=>Oj,broadcastArgs:()=>dE,broadcastTo:()=>Fi,buffer:()=>bt,cast:()=>J,ceil:()=>fx,clipByValue:()=>vr,clone:()=>an,complex:()=>In,concat:()=>oe,concat1d:()=>dx,concat2d:()=>hx,concat3d:()=>gx,concat4d:()=>xx,conv1d:()=>tm,conv2d:()=>vn,conv2dTranspose:()=>rm,conv3d:()=>yx,conv3dTranspose:()=>wx,cos:()=>Ql,cosh:()=>nm,cosineWindow:()=>fh,cumprod:()=>Uu,cumsum:()=>om,denseBincount:()=>ah,depthToSpace:()=>Cx,depthwiseConv2d:()=>Oi,diag:()=>hE,dilation2d:()=>Ix,div:()=>ut,divNoNan:()=>vx,dot:()=>Sx,dropout:()=>nS,einsum:()=>xE,elu:()=>Pi,enclosingPowerOfTwo:()=>oS,equal:()=>Dr,erf:()=>Nx,euclideanNorm:()=>Tx,exp:()=>sr,expandDims:()=>ir,expm1:()=>kx,eye:()=>Hu,fft:()=>lu,fill:()=>yo,floor:()=>Li,floorDiv:()=>Zp,fused:()=>cu,gather:()=>Mi,gatherND:()=>Hj,greater:()=>Fe,greaterEqual:()=>un,ifft:()=>el,imag:()=>tu,image:()=>oo,inTopKAsync:()=>jj,irfft:()=>ym,isFinite:()=>Ex,isInf:()=>_x,isNaN:()=>Ax,leakyRelu:()=>eu,less:()=>sm,lessEqual:()=>Mn,linalg:()=>iS,linspace:()=>wE,localResponseNormalization:()=>$x,log:()=>Nr,log1p:()=>ru,logSigmoid:()=>Fx,logSoftmax:()=>im,logSumExp:()=>am,logicalAnd:()=>Fr,logicalNot:()=>nu,logicalOr:()=>lm,logicalXor:()=>Ox,losses:()=>j6,lowerBound:()=>CE,matMul:()=>Mt,max:()=>Sr,maxPool:()=>ou,maxPool3d:()=>Lx,maxPoolWithArgmax:()=>IE,maximum:()=>Sn,mean:()=>Ne,meshgrid:()=>vE,min:()=>Ja,minimum:()=>zi,mirrorPad:()=>Mx,mod:()=>zx,moments:()=>qu,movingAverage:()=>Mj,mul:()=>D,multiRNNCell:()=>SE,multinomial:()=>NE,neg:()=>qt,norm:()=>Qa,notEqual:()=>Gs,oneHot:()=>Bi,ones:()=>fr,onesLike:()=>wr,op:()=>T,outerProduct:()=>TE,pad:()=>pn,pad1d:()=>kE,pad2d:()=>EE,pad3d:()=>_E,pad4d:()=>AE,pool:()=>Bx,pow:()=>ln,prelu:()=>iu,print:()=>Qg,prod:()=>Vx,raggedGather:()=>$E,raggedRange:()=>DE,raggedTensorToTensor:()=>RE,rand:()=>FE,randomGamma:()=>e_,randomNormal:()=>Xu,randomStandardNormal:()=>r_,randomUniform:()=>Vi,range:()=>Gi,real:()=>tl,reciprocal:()=>Kx,relu:()=>Or,relu6:()=>um,reshape:()=>R,reverse:()=>dr,reverse1d:()=>n_,reverse2d:()=>o_,reverse3d:()=>s_,reverse4d:()=>i_,rfft:()=>uu,round:()=>cm,rsqrt:()=>pm,scalar:()=>pt,scatterND:()=>Bj,searchSorted:()=>uh,selu:()=>mm,separableConv2d:()=>fm,setdiff1dAsync:()=>a_,sigmoid:()=>Qr,sign:()=>jx,signal:()=>K6,sin:()=>dm,sinh:()=>hm,slice:()=>Rt,slice1d:()=>gm,slice2d:()=>ph,slice3d:()=>xm,slice4d:()=>Yu,softmax:()=>au,softplus:()=>Vs,spaceToBatchND:()=>su,sparse:()=>X6,sparseToDense:()=>Wj,spectral:()=>q6,split:()=>hr,sqrt:()=>Se,square:()=>zt,squaredDifference:()=>bm,squeeze:()=>zn,stack:()=>qe,step:()=>wo,stridedSlice:()=>Xx,string:()=>Y6,sub:()=>lt,sum:()=>mt,tan:()=>Yx,tanh:()=>Di,tensor:()=>or,tensor1d:()=>Ke,tensor2d:()=>Ws,tensor3d:()=>Zx,tensor4d:()=>l_,tensor5d:()=>u_,tensor6d:()=>c_,tile:()=>Rr,topk:()=>Jx,transpose:()=>Pt,truncatedNormal:()=>wm,unique:()=>Qx,unsortedSegmentSum:()=>Cm,unstack:()=>gr,upperBound:()=>p_,variable:()=>ty,where:()=>_e,whereAsync:()=>ry,zeros:()=>Te,zerosLike:()=>It});var MD=(r,t,e,n=se)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[n.add(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"AddN\":return[n.addN(I(\"tensors\",r,t,e))];case\"FloorMod\":case\"Mod\":return[n.mod(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Mul\":return[n.mul(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"RealDiv\":case\"Div\":return[n.div(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"DivNoNan\":return[n.divNoNan(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"FloorDiv\":return[n.floorDiv(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Sub\":return[n.sub(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Minimum\":return[n.minimum(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Maximum\":return[n.maximum(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Pow\":return[n.pow(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"SquaredDifference\":return[n.squaredDifference(I(\"a\",r,t,e),I(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=se)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[n.abs(I(\"x\",r,t,e))];case\"Acos\":return[n.acos(I(\"x\",r,t,e))];case\"Acosh\":return[n.acosh(I(\"x\",r,t,e))];case\"Asin\":return[n.asin(I(\"x\",r,t,e))];case\"Asinh\":return[n.asinh(I(\"x\",r,t,e))];case\"Atan\":return[n.atan(I(\"x\",r,t,e))];case\"Atan2\":return[n.atan2(I(\"x\",r,t,e),I(\"y\",r,t,e))];case\"Atanh\":return[n.atanh(I(\"x\",r,t,e))];case\"Ceil\":return[n.ceil(I(\"x\",r,t,e))];case\"Complex\":return[n.complex(I(\"real\",r,t,e),I(\"imag\",r,t,e))];case\"Cos\":return[n.cos(I(\"x\",r,t,e))];case\"Cosh\":return[n.cosh(I(\"x\",r,t,e))];case\"Elu\":return[n.elu(I(\"x\",r,t,e))];case\"Erf\":return[n.erf(I(\"x\",r,t,e))];case\"Exp\":return[n.exp(I(\"x\",r,t,e))];case\"Expm1\":return[n.expm1(I(\"x\",r,t,e))];case\"Floor\":return[n.floor(I(\"x\",r,t,e))];case\"Log\":return[n.log(I(\"x\",r,t,e))];case\"Log1p\":return[n.log1p(I(\"x\",r,t,e))];case\"Imag\":return[n.imag(I(\"x\",r,t,e))];case\"Neg\":return[n.neg(I(\"x\",r,t,e))];case\"Reciprocal\":return[n.reciprocal(I(\"x\",r,t,e))];case\"Real\":return[n.real(I(\"x\",r,t,e))];case\"Relu\":return[n.relu(I(\"x\",r,t,e))];case\"Round\":return[n.round(I(\"x\",r,t,e))];case\"Selu\":return[n.selu(I(\"x\",r,t,e))];case\"Sigmoid\":return[n.sigmoid(I(\"x\",r,t,e))];case\"Sin\":return[n.sin(I(\"x\",r,t,e))];case\"Sign\":return[n.sign(I(\"x\",r,t,e))];case\"Sinh\":return[n.sinh(I(\"x\",r,t,e))];case\"Softplus\":return[n.softplus(I(\"x\",r,t,e))];case\"Sqrt\":return[n.sqrt(I(\"x\",r,t,e))];case\"Square\":return[n.square(I(\"x\",r,t,e))];case\"Tanh\":return[n.tanh(I(\"x\",r,t,e))];case\"Tan\":return[n.tan(I(\"x\",r,t,e))];case\"ClipByValue\":return[n.clipByValue(I(\"x\",r,t,e),I(\"clipValueMin\",r,t,e),I(\"clipValueMax\",r,t,e))];case\"Relu6\":return[n.relu6(I(\"x\",r,t,e))];case\"Rsqrt\":return[n.rsqrt(Cr(r.inputNames[0],t,e))];case\"Prod\":return[n.prod(I(\"x\",r,t,e),I(\"axes\",r,t,e))];case\"LeakyRelu\":return[n.leakyRelu(I(\"x\",r,t,e),I(\"alpha\",r,t,e))];case\"Prelu\":return[n.prelu(I(\"x\",r,t,e),I(\"alpha\",r,t,e))];case\"IsNan\":return[n.isNaN(Cr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Gn(r,t,e=\"\"){if(!(typeof r==\"number\"||typeof t==\"number\")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r==\"number\"||r.some(t=>t<0))}function Xf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r==\"number\")return t;if(typeof t==\"number\")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=pt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t},\n because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Gn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,gr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Gn(e,s.shape,\"TensorList shape mismatch: \"),De(s)}),this.idTensor=pt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Gn(t,this.elementShape,\"TensorList shape mismatch: \");let o=Xf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return qe(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let n=Xf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Gn(o.shape,t,\"TensorList shape mismatch: \"),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Gn(t.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new hl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Gn(this.tensors[t].shape,e,\"TensorList shape mismatch: \");let o=Xf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Gn(this.elementShape,e.shape,\"TensorList shape mismatch: \"),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Gn(this.elementShape,n,\"TensorList shape mismatch: \"),t=t.slice(0,this.size());let o=Xf(this.elementShape,this.tensors,n);return t.length===0?or([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return qe(s,0)})}concat(t,e){if(t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Gn(this.elementShape,e,\"TensorList shape mismatch: \");let n=Xf(this.elementShape,this.tensors,e);return this.size()===0?or([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return oe(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Gn(o,t,\"TensorList shape mismatch: \");let s=gr(r);return new hl(s,t,n)}function GD(r,t,e,n){return new hl([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new hl([],e,r.dtype,n),i=gr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case\"If\":case\"StatelessIf\":{let n=I(\"thenBranch\",r,t,e),o=I(\"elseBranch\",r,t,e),s=I(\"cond\",r,t,e),i=I(\"args\",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case\"While\":case\"StatelessWhile\":{let n=I(\"body\",r,t,e),o=I(\"cond\",r,t,e),s=I(\"args\",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case\"LoopCond\":{let n=I(\"pred\",r,t,e);return[Js(n)]}case\"Switch\":{let n=I(\"pred\",r,t,e),o=I(\"data\",r,t,e);return o.kept||(o=Js(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case\"Merge\":{let n=r.inputNames.find(o=>Cr(o,t,e)!==void 0);if(n){let o=Cr(n,t,e);return[Js(o)]}return}case\"Enter\":{let n=I(\"frameName\",r,t,e),o=I(\"tensor\",r,t,e);return e.enterFrame(n),[Js(o)]}case\"Exit\":{let n=I(\"tensor\",r,t,e);return e.exitFrame(),[Js(n)]}case\"NextIteration\":{let n=I(\"tensor\",r,t,e);return e.nextIteration(),[Js(n)]}case\"TensorArrayV3\":{let n=I(\"size\",r,t,e),o=I(\"dtype\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"dynamicSize\",r,t,e),a=I(\"clearAfterRead\",r,t,e),u=I(\"identicalElementShapes\",r,t,e),l=I(\"name\",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,pt(1)]}case\"TensorArrayWriteV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case\"TensorArrayReadV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"index\",r,t,e);return[e.getTensorArray(n.id).read(o)]}case\"TensorArrayGatherV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"dtype\",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case\"TensorArrayScatterV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case\"TensorArrayConcatV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id),s=I(\"dtype\",r,t,e);return[o.concat(s)]}case\"TensorArraySplitV3\":{let n=I(\"tensorArrayId\",r,t,e),o=I(\"tensor\",r,t,e),s=I(\"lengths\",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case\"TensorArraySizeV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return[pt(o.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let n=I(\"tensorArrayId\",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case\"TensorListSetItem\":{let n=I(\"tensorListId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"tensor\",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case\"TensorListGetItem\":{let n=I(\"tensorListId\",r,t,e),o=I(\"index\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let n=I(\"indices\",r,t,e),o=I(\"tensor\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"numElements\",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let n=I(\"elementShape\",r,t,e),o=I(\"elementDType\",r,t,e),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let i=I(s,r,t,e),a=r.op===\"TensorListReserve\"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case\"TensorListGather\":{let n=I(\"tensorListId\",r,t,e),o=I(\"indices\",r,t,e),s=I(\"elementShape\",r,t,e),i=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case\"TensorListStack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e),i=I(\"numElements\",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case\"TensorListFromTensor\":{let n=I(\"tensor\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let n=I(\"tensorListId\",r,t,e),o=e.getTensorList(n.id),s=I(\"dtype\",r,t,e),i=I(\"elementShape\",r,t,e);return[o.concat(s,i)]}case\"TensorListPushBack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"tensor\",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case\"TensorListPopBack\":{let n=I(\"tensorListId\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"elementDType\",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case\"TensorListSplit\":{let n=I(\"tensor\",r,t,e),o=I(\"elementShape\",r,t,e),s=I(\"lengths\",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case\"TensorListLength\":{let n=I(\"tensorListId\",r,t,e),o=e.getTensorList(n.id);return[pt(o.size(),\"int32\")]}case\"TensorListResize\":{let n=I(\"tensorListId\",r,t,e),o=I(\"size\",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=I(\"fusedOps\",r,t,e),s=n===\"biasadd\",i=!s,a=o===\"prelu\",u=n===\"fusedbatchnorm\",l=I(\"numArgs\",r,t,e);if(s){if(a&&l!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&s&&l!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(u)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=I(\"strides\",r,t,e),p=Oh(r,t,e),m=I(\"dataFormat\",r,t,e).toUpperCase(),f=I(\"dilations\",r,t,e),[d,h]=I(\"args\",r,t,e);i&&(h=d,d=void 0);let g=I(\"leakyreluAlpha\",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=se)=>{switch(r.op){case\"Conv1D\":{let o=I(\"stride\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilation\",r,t,e);return[n.conv1d(I(\"x\",r,t,e),I(\"filter\",r,t,e),o,s,i,a)]}case\"Conv2D\":{let o=I(\"strides\",r,t,e),s=Oh(r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilations\",r,t,e);return[n.conv2d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case\"_FusedConv2D\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:I(\"x\",r,t,e),filter:I(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"FusedDepthwiseConv2dNative\":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:I(\"x\",r,t,e),filter:I(\"filter\",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let o=I(\"outputShape\",r,t,e),s=I(\"strides\",r,t,e),i=Oh(r,t,e);return[n.conv2dTranspose(I(\"x\",r,t,e),I(\"filter\",r,t,e),o,[s[1],s[2]],i)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let o=I(\"strides\",r,t,e),s=Oh(r,t,e),i=I(\"dilations\",r,t,e),a=I(\"dataFormat\",r,t,e).toUpperCase();return[n.depthwiseConv2d(I(\"input\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case\"Conv3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dataFormat\",r,t,e).toUpperCase(),a=I(\"dilations\",r,t,e);return[n.conv3d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case\"AvgPool\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.avgPool(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPool\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.maxPool(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case\"MaxPoolWithArgmax\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e),a=I(\"includeBatchInIndex\",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(I(\"x\",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case\"AvgPool3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.avgPool3d(I(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"MaxPool3D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"kernelSize\",r,t,e);return[n.maxPool3d(I(\"x\",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case\"Dilation2D\":{let o=I(\"strides\",r,t,e),s=I(\"pad\",r,t,e),i=I(\"dilations\",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(I(\"x\",r,t,e),I(\"filter\",r,t,e),[a,u],s,[l,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=se)=>{switch(r.op){case\"Fill\":{let o=I(\"shape\",r,t,e),s=I(\"dtype\",r,t,e),i=I(\"value\",r,t,e);return[n.fill(o,i,s)]}case\"LinSpace\":{let o=I(\"start\",r,t,e),s=I(\"stop\",r,t,e),i=I(\"num\",r,t,e);return[n.linspace(o,s,i)]}case\"Multinomial\":{let o=I(\"logits\",r,t,e),s=I(\"numSamples\",r,t,e),i=I(\"seed\",r,t,e);return[n.multinomial(o,s,i)]}case\"OneHot\":{let o=I(\"indices\",r,t,e),s=I(\"depth\",r,t,e),i=I(\"onValue\",r,t,e),a=I(\"offValue\",r,t,e),u=I(\"dtype\",r,t,e);return[n.oneHot(o,s,i,a,u)]}case\"Ones\":return[n.ones(I(\"shape\",r,t,e),I(\"dtype\",r,t,e))];case\"OnesLike\":return[n.onesLike(I(\"x\",r,t,e))];case\"RandomStandardNormal\":return[n.randomStandardNormal(I(\"shape\",r,t,e),I(\"dtype\",r,t,e),I(\"seed\",r,t,e))];case\"RandomUniform\":return[n.randomUniform(I(\"shape\",r,t,e),I(\"minval\",r,t,e),I(\"maxval\",r,t,e),I(\"dtype\",r,t,e))];case\"Range\":{let o=I(\"start\",r,t,e),s=I(\"stop\",r,t,e),i=I(\"step\",r,t,e);return[n.range(o,s,i,I(\"dtype\",r,t,e))]}case\"TruncatedNormal\":{let o=I(\"shape\",r,t,e),s=I(\"mean\",r,t,e),i=I(\"stdDev\",r,t,e),a=I(\"seed\",r,t,e);return[n.truncatedNormal(o,s,i,I(\"dtype\",r,t,e),a)]}case\"Zeros\":return[n.zeros(I(\"shape\",r,t,e),I(\"dtype\",r,t,e))];case\"ZerosLike\":return[n.zerosLike(I(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function gN(r,t,e){let n=I(\"boxes\",r,t,e),o=I(\"scores\",r,t,e),s=I(\"maxOutputSize\",r,t,e),i=I(\"iouThreshold\",r,t,e),a=I(\"scoreThreshold\",r,t,e),u=I(\"softNmsSigma\",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=se)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=gN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e),c=I(\"padToMaxOutputSize\",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case\"Where\":{let s=o.cast(I(\"condition\",r,t,e),\"bool\"),i=[await o.whereAsync(s)];return s.dispose(),i}case\"ListDiff\":return o.setdiff1dAsync(I(\"x\",r,t,e),I(\"y\",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=se)=>{switch(r.op){case\"LowerBound\":{let o=I(\"sortedSequence\",r,t,e),s=I(\"values\",r,t,e);return[n.lowerBound(o,s)]}case\"TopKV2\":{let o=I(\"x\",r,t,e),s=I(\"k\",r,t,e),i=I(\"sorted\",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case\"UpperBound\":{let o=I(\"sortedSequence\",r,t,e),s=I(\"values\",r,t,e);return[n.upperBound(o,s)]}case\"Unique\":{let o=I(\"x\",r,t,e),s=n.unique(o);return[s.values,s.indices]}case\"UniqueV2\":{let o=I(\"x\",r,t,e),s=I(\"axis\",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=se)=>{switch(r.op){case\"Const\":return t[r.name];case\"PlaceholderWithDefault\":let o=I(\"default\",r,t,e);return[Cr(r.name,t,e)||o];case\"Placeholder\":return[Cr(r.name,t,e)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=I(\"x\",r,t,e);return[Js(c)]}case\"IdentityN\":return I(\"x\",r,t,e).map(c=>Js(c));case\"Snapshot\":let s=I(\"x\",r,t,e);return[Js(s)];case\"Shape\":return[n.tensor1d(I(\"x\",r,t,e).shape,\"int32\")];case\"ShapeN\":return I(\"x\",r,t,e).map(c=>n.tensor1d(c.shape));case\"Size\":return[n.scalar(I(\"x\",r,t,e).size,\"int32\")];case\"Rank\":return[n.scalar(I(\"x\",r,t,e).rank,\"int32\")];case\"NoOp\":return[n.scalar(1)];case\"Print\":let i=I(\"x\",r,t,e),a=I(\"data\",r,t,e),u=I(\"message\",r,t,e),l=I(\"summarize\",r,t,e);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return pt(this.size(),\"int32\")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=gr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=I(\"keyDType\",r,t,e),i=I(\"valueDType\",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case\"InitializeTable\":case\"InitializeTableV2\":case\"LookupTableImport\":case\"LookupTableImportV2\":{let o=I(\"tableHandle\",r,t,e,n),s=I(\"keys\",r,t,e),i=I(\"values\",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let o=I(\"tableHandle\",r,t,e,n),s=I(\"keys\",r,t,e),i=I(\"defaultValue\",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let o=I(\"tableHandle\",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=se)=>{switch(r.op){case\"ResizeBilinear\":{let o=I(\"images\",r,t,e),s=I(\"size\",r,t,e),i=I(\"alignCorners\",r,t,e),a=I(\"halfPixelCenters\",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case\"ResizeNearestNeighbor\":{let o=I(\"images\",r,t,e),s=I(\"size\",r,t,e),i=I(\"alignCorners\",r,t,e),a=I(\"halfPixelCenters\",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case\"CropAndResize\":{let o=I(\"image\",r,t,e),s=I(\"boxes\",r,t,e),i=I(\"boxInd\",r,t,e),a=I(\"cropSize\",r,t,e),u=I(\"method\",r,t,e),l=I(\"extrapolationValue\",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case\"ImageProjectiveTransformV3\":{let o=I(\"images\",r,t,e),s=I(\"transforms\",r,t,e),i=I(\"outputShape\",r,t,e),a=I(\"fillValue\",r,t,e),u=I(\"interpolation\",r,t,e),l=I(\"fillMode\",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=se)=>{switch(r.op){case\"Equal\":return[n.equal(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"NotEqual\":return[n.notEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Greater\":return[n.greater(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"GreaterEqual\":return[n.greaterEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Less\":return[n.less(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LessEqual\":return[n.lessEqual(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LogicalAnd\":return[n.logicalAnd(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"LogicalNot\":return[n.logicalNot(I(\"a\",r,t,e))];case\"LogicalOr\":return[n.logicalOr(I(\"a\",r,t,e),I(\"b\",r,t,e))];case\"Select\":case\"SelectV2\":return[n.where(I(\"condition\",r,t,e),I(\"a\",r,t,e),I(\"b\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=se)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[n.matMul(I(\"a\",r,t,e),I(\"b\",r,t,e),I(\"transposeA\",r,t,e),I(\"transposeB\",r,t,e))];case\"Einsum\":return[n.einsum(I(\"equation\",r,t,e),...I(\"tensors\",r,t,e))];case\"Transpose\":return[n.transpose(I(\"x\",r,t,e),I(\"perm\",r,t,e))];case\"_FusedMatMul\":let[o,s]=I(\"fusedOps\",r,t,e),i=o===\"biasadd\",a=s===\"prelu\",u=I(\"numArgs\",r,t,e),l=I(\"leakyreluAlpha\",r,t,e);if(i){if(a&&u!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!a&&u!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,p]=I(\"args\",r,t,e);return[n.fused.matMul({a:I(\"a\",r,t,e),b:I(\"b\",r,t,e),transposeA:I(\"transposeA\",r,t,e),transposeB:I(\"transposeB\",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=se)=>{switch(r.op){case\"EuclideanNorm\":return[n.euclideanNorm(I(\"x\",r,t,e),I(\"axis\",r,t,e),I(\"keepDims\",r,t,e))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[n.batchNorm(I(\"x\",r,t,e),I(\"mean\",r,t,e),I(\"variance\",r,t,e),I(\"offset\",r,t,e),I(\"scale\",r,t,e),I(\"epsilon\",r,t,e))];case\"FusedBatchNormV3\":return[n.batchNorm(I(\"x\",r,t,e),I(\"mean\",r,t,e),I(\"variance\",r,t,e),I(\"offset\",r,t,e),I(\"scale\",r,t,e),I(\"epsilon\",r,t,e))];case\"LRN\":return[n.localResponseNormalization(I(\"x\",r,t,e),I(\"radius\",r,t,e),I(\"bias\",r,t,e),I(\"alpha\",r,t,e),I(\"beta\",r,t,e))];case\"Softmax\":return[n.softmax(I(\"x\",r,t,e))];case\"LogSoftmax\":return[n.logSoftmax(I(\"x\",r,t,e))];case\"SparseToDense\":return[n.sparseToDense(I(\"sparseIndices\",r,t,e),I(\"outputShape\",r,t,e),I(\"sparseValues\",r,t,e),I(\"defaultValue\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=se)=>{switch(r.op){case\"RaggedGather\":{let{outputNestedSplits:o,outputDenseValues:s}=n.raggedGather(I(\"paramsNestedSplits\",r,t,e),I(\"paramsDenseValues\",r,t,e),I(\"indices\",r,t,e),I(\"outputRaggedRank\",r,t,e));return o.concat(s)}case\"RaggedRange\":{let{rtNestedSplits:o,rtDenseValues:s}=n.raggedRange(I(\"starts\",r,t,e),I(\"limits\",r,t,e),I(\"splits\",r,t,e));return[o,s]}case\"RaggedTensorToTensor\":return[n.raggedTensorToTensor(I(\"shape\",r,t,e),I(\"values\",r,t,e),I(\"defaultValue\",r,t,e),I(\"rowPartitionTensors\",r,t,e),I(\"rowPartitionTypes\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=se)=>{switch(r.op){case\"Max\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.max(I(\"x\",r,t,e),a,u)]}case\"Mean\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.mean(I(\"x\",r,t,e),a,u)]}case\"Min\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.min(I(\"x\",r,t,e),a,u)]}case\"Sum\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.sum(I(\"x\",r,t,e),a,u)]}case\"All\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.all(I(\"x\",r,t,e),a,u)]}case\"Any\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.any(I(\"x\",r,t,e),a,u)]}case\"ArgMax\":{let a=I(\"axis\",r,t,e);return[n.argMax(I(\"x\",r,t,e),a)]}case\"ArgMin\":{let a=I(\"axis\",r,t,e);return[n.argMin(I(\"x\",r,t,e),a)]}case\"Prod\":{let a=I(\"axis\",r,t,e),u=I(\"keepDims\",r,t,e);return[n.prod(I(\"x\",r,t,e),a,u)]}case\"Cumprod\":{let a=I(\"axis\",r,t,e),u=I(\"exclusive\",r,t,e),l=I(\"reverse\",r,t,e);return[n.cumprod(I(\"x\",r,t,e),a,u,l)]}case\"Cumsum\":{let a=I(\"axis\",r,t,e),u=I(\"exclusive\",r,t,e),l=I(\"reverse\",r,t,e);return[n.cumsum(I(\"x\",r,t,e),a,u,l)]}case\"Bincount\":let o=I(\"x\",r,t,e),s=I(\"weights\",r,t,e),i=I(\"size\",r,t,e);return[n.bincount(o,s,i)];case\"DenseBincount\":{let a=I(\"x\",r,t,e),u=I(\"weights\",r,t,e),l=I(\"size\",r,t,e),c=I(\"binaryOutput\",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=se)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let o=I(\"n\",r,t,e),s=I(\"axis\",r,t,e),i=I(\"tensors\",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case\"Gather\":{let o=I(\"x\",r,t,e),s=I(\"indices\",r,t,e);return[n.gather(o,n.cast(s,\"int32\"),0)]}case\"GatherV2\":{let o=I(\"axis\",r,t,e),s=I(\"batchDims\",r,t,e),i=I(\"x\",r,t,e),a=I(\"indices\",r,t,e);return[n.gather(i,n.cast(a,\"int32\"),o,s)]}case\"Reverse\":{let o=I(\"dims\",r,t,e),s=[];for(let a=0;a{let o=I(\"axis\",r,t,e),s=I(\"tensors\",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error(\"the input tensors shape does not match\");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case\"Unpack\":{let o=I(\"axis\",r,t,e),s=I(\"tensor\",r,t,e);return n.unstack(s,o)}case\"Tile\":{let o=I(\"reps\",r,t,e);return[n.tile(I(\"x\",r,t,e),o)]}case\"Split\":case\"SplitV\":{let o=I(\"axis\",r,t,e),s=I(\"numOrSizeSplits\",r,t,e),i=I(\"x\",r,t,e);return n.split(i,s,o)}case\"ScatterNd\":{let o=I(\"indices\",r,t,e),s=I(\"values\",r,t,e),i=I(\"shape\",r,t,e);return[n.scatterND(o,s,i)]}case\"GatherNd\":{let o=I(\"x\",r,t,e),s=I(\"indices\",r,t,e);return[n.gatherND(o,s)]}case\"SparseToDense\":{let o=I(\"sparseIndices\",r,t,e),s=I(\"outputShape\",r,t,e),i=I(\"sparseValues\",r,t,e),a=I(\"defaultValue\",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=se)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(I(\"indices\",r,t,e),I(\"values\",r,t,e),I(\"denseShape\",r,t,e),I(\"defaultValue\",r,t,e));return[o,s,i,a]}case\"SparseReshape\":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(I(\"inputIndices\",r,t,e),I(\"inputShape\",r,t,e),I(\"newShape\",r,t,e));return[o,s]}case\"SparseSegmentMean\":return[n.sparse.sparseSegmentMean(I(\"data\",r,t,e),I(\"indices\",r,t,e),I(\"segmentIds\",r,t,e))];case\"SparseSegmentSum\":return[n.sparse.sparseSegmentSum(I(\"data\",r,t,e),I(\"indices\",r,t,e),I(\"segmentIds\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=se)=>{switch(r.op){case\"FFT\":return[n.fft(I(\"x\",r,t,e))];case\"IFFT\":return[n.ifft(I(\"x\",r,t,e))];case\"RFFT\":return[n.rfft(I(\"x\",r,t,e))];case\"IRFFT\":return[n.irfft(I(\"x\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=se)=>{switch(r.op){case\"StringNGrams\":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(I(\"data\",r,t,e),I(\"dataSplits\",r,t,e),I(\"separator\",r,t,e),I(\"nGramWidths\",r,t,e),I(\"leftPad\",r,t,e),I(\"rightPad\",r,t,e),I(\"padWidth\",r,t,e),I(\"preserveShortSequences\",r,t,e));return[o,s]}case\"StringSplit\":{let{indices:o,values:s,shape:i}=n.string.stringSplit(I(\"input\",r,t,e),I(\"delimiter\",r,t,e),I(\"skipEmpty\",r,t,e));return[o,s,i]}case\"StringToHashBucketFast\":return[n.string.stringToHashBucketFast(I(\"input\",r,t,e),I(\"numBuckets\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var uR=(r,t,e,n=se)=>{switch(r.op){case\"Cast\":return[n.cast(I(\"x\",r,t,e),I(\"dtype\",r,t,e))];case\"ExpandDims\":{let o=I(\"axis\",r,t,e);return[n.expandDims(I(\"x\",r,t,e),o)]}case\"Squeeze\":{let o=I(\"axis\",r,t,e);return[n.squeeze(I(\"x\",r,t,e),o)]}case\"Reshape\":return[n.reshape(I(\"x\",r,t,e),I(\"shape\",r,t,e))];case\"MirrorPad\":return[n.mirrorPad(I(\"x\",r,t,e),I(\"padding\",r,t,e),I(\"mode\",r,t,e))];case\"PadV2\":case\"Pad\":return[n.pad(I(\"x\",r,t,e),I(\"padding\",r,t,e),I(\"constantValue\",r,t,e))];case\"SpaceToBatchND\":{let o=I(\"blockShape\",r,t,e),s=I(\"paddings\",r,t,e);return[n.spaceToBatchND(I(\"x\",r,t,e),o,s)]}case\"BatchToSpaceND\":{let o=I(\"blockShape\",r,t,e),s=I(\"crops\",r,t,e);return[n.batchToSpaceND(I(\"x\",r,t,e),o,s)]}case\"DepthToSpace\":{let o=I(\"blockSize\",r,t,e),s=I(\"dataFormat\",r,t,e).toUpperCase();return[n.depthToSpace(I(\"x\",r,t,e),o,s)]}case\"BroadcastTo\":return[n.broadcastTo(I(\"x\",r,t,e),I(\"shape\",r,t,e))];case\"BroadcastArgs\":return[n.broadcastArgs(I(\"s0\",r,t,e),I(\"s1\",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function xN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case\"arithmetic\":return o(()=>MD(i,a,u));case\"basic_math\":return o(()=>zD(i,a,u));case\"control\":return HD(i,a,u);case\"convolution\":return o(()=>KD(i,a,u));case\"creation\":return o(()=>jD(i,a,u));case\"dynamic\":return XD(i,a,u);case\"evaluation\":return o(()=>YD(i,a,u));case\"image\":return o(()=>QD(i,a,u));case\"graph\":return o(()=>ZD(i,a,u));case\"logical\":return o(()=>tR(i,a,u));case\"matrices\":return o(()=>eR(i,a,u));case\"normalization\":return o(()=>rR(i,a,u));case\"ragged\":return o(()=>nR(i,a,u));case\"reduction\":return o(()=>oR(i,a,u));case\"slice_join\":return o(()=>sR(i,a,u));case\"sparse\":return o(()=>iR(i,a,u));case\"spectral\":return o(()=>aR(i,a,u));case\"string\":return o(()=>lR(i,a,u));case\"transformation\":return o(()=>uR(i,a,u));case\"hash_table\":return JD(i,a,u,n);case\"custom\":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Lh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?\"\":`${e.frameName}-${e.iterationId}`).join(\"/\"):\"\"}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function yN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>bn(m)[0]),c=[];n!=null&&(c=n.map(m=>bn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((bN(m)||G7(m)||W7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function cR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>bn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var z7=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\",\"StatelessIf\",\"StatelessWhile\",\"if\",\"While\"],B7=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"NonMaxSuppressionV5\",\"Where\"],V7=[\"HashTable\",\"HashTableV2\",\"LookupTableImport\",\"LookupTableImportV2\",\"LookupTableFind\",\"LookupTableFindV2\",\"LookupTableSize\",\"LookupTableSizeV2\"];function bN(r){return z7.indexOf(r.op)>=0}function G7(r){return B7.indexOf(r.op)>=0}function W7(r){return V7.indexOf(r.op)>=0}var kc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new kc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+\"--\"+o.join(this.SEPERATOR)}compile(t,e){let n=yN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return cR(this.graph,this.weightMap,n)}cloneAndKeepTensor(t){if(t==null)return null;let e=t.clone();return De(e),e}cloneTensorList(t){return t?t.map(n=>this.cloneAndKeepTensor(n)):null}cloneTensorMap(t){return Object.fromEntries(Object.entries(t).map(([e,n])=>[e,this.cloneTensorList(n)]))}execute(t,e){this.disposeIntermediateTensors(),t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[bn(p)[0]]),s=e.map(p=>bn(p)[0]),i=s.map(p=>this.graph.nodes[p]);i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));try{this.keepIntermediateTensors=M().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},c={};return B(()=>{let p=new Lh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(t).forEach(h=>{let[g,x]=bn(h),b=[];b[x]=t[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hCr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category===\"control\"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!==\"control\"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];p===1?(c.dispose(),delete a[c.id]):p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(t=>{for(let e of t)e&&!e.isDisposed&&e.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(t,e,n=!1,o={},s={}){this.disposeIntermediateTensors(),n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepIntermediateTensors=M().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let i=new Lh(this.weightMap,o,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let a=await this.executeWithControlFlow(t,i,e,n),u=e.map(m=>Cr(m,a,i)),l=u.map(m=>m.id),c=Object.keys(t).map(m=>t[m].id),p=new Set([...l,...c,...this.weightIds]);return Object.values(a).forEach(m=>{m.forEach(f=>{f&&!f.isDisposed&&!p.has(f.id)&&f.dispose()})}),this.parent==null&&i.dispose(p),u}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[bn(w)[0]]),a=n.map(w=>bn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=yN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=bn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let b=u.filter(w=>!bN(w)&&!Cr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w=\"\";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m=\"\";if(p.node.op===\"Enter\"&&I(\"isConstant\",p.node,o,n)&&([m]=Zs(p.node.name,n)),o[p.node.name]==null){let f=xN(p.node,o,n,this._resourceManager);m||([m]=Zs(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(f)),this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Zs(a.name,n);s[u]||!i.has(a.name)||(a.op===\"Merge\"?a.inputNames.some(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=bn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){var e,n;let o={};for(let s in t){let i=(n=(e=this._signature)===null||e===void 0?void 0:e.inputs)===null||n===void 0?void 0:n[s];i!=null?o[i.name]=t[s]:o[s]=t[s]}return o}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=bn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>{var n,o;let s=(o=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||o===void 0?void 0:o[e];return s!=null?s.name:e},{})}checkOutputs(t){t.forEach(e=>{let[n]=bn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var U7=\"?tfjs-format=file\",H7=\"model.json\",Mh=class{constructor(t,e={},n=Pr){this.modelUrl=t,this.loadOptions=e,this.version=\"n/a\",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new kc(Ph.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Ph.Instance.transformGraph(t.modelInitializer);this.initializer=new kc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t==\"string\"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return t.save(this.artifacts)}addStructuredOutputNames(t){if(this.structuredOutputKeys){let e=t instanceof Ft?[t]:t,n={};return e.forEach((o,s)=>n[this.structuredOutputKeys[s]]=o),n}return t}predict(t,e){let n=this.execute(t,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(t,e){let n=await this.executeAsync(t,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(t){var e;if(!(t instanceof Ft)&&!Array.isArray(t)){let s=(e=this.signature)===null||e===void 0?void 0:e.inputs;if(s!=null)for(let i in s){let a=s[i];a.resourceId!=null&&(t[i]=this.resourceIdToCapturedInput[a.resourceId])}return t}t=Array.isArray(t)?t:[t];let n=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${t.length} input tensors provided.`);let o=0;return this.inputNodes.reduce((s,i)=>{var a,u,l;let c=(l=(u=(a=this.signature)===null||a===void 0?void 0:a.inputs)===null||u===void 0?void 0:u[i])===null||l===void 0?void 0:l.resourceId;return c!=null?s[i]=this.resourceIdToCapturedInput[c]:s[i]=t[o++],s},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=this.initializerSignature.outputs,n=Object.keys(e);for(let o=0;o1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Nt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function q7(r,t={},e=Pr){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");t==null&&(t={}),t.fromTFHub&&typeof r==\"string\"&&(r=j7(r));let n=new Mh(r,t,e);return await n.load(),n}function K7(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error(\"modelJSON must be the first element of the array\");if(!o||!(o instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in n))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in n))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=Pr.getWeightSpecs(n.weightsManifest),i=Pr.getModelArtifactsForJSONSync(n,s,o);t=Pr.fromMemorySync(i)}else if(\"load\"in r)t=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)t=Pr.fromMemorySync(r);else throw new Error(\"Unknown model format\");let e=new Mh(t);return e.load(),e}function j7(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${H7}${U7}`}var pR=\"4.2.0\";var $R={};Ut($R,{CSVDataset:()=>Jf,Dataset:()=>Qs,FileDataSource:()=>nd,TextLineDataset:()=>Zf,URLDataSource:()=>od,array:()=>CR,csv:()=>TR,func:()=>kR,generator:()=>ER,microphone:()=>AR,version_data:()=>BN,webcam:()=>_R,zip:()=>IR});var wR=El(ch());var xR=El(ch());function mR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob==\"function\"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error(\"Circular references are not supported.\");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep map function may not return both a value and recurse=true.\");if(o.recurse)if(bu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function fR(r,t=CN){return dR(r,t)}function dR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error(\"Circular references are not supported.\");let o=t(r);if(o.recurse&&o.value!==null)throw new Error(\"A deep zip function may not return both a value and recurse=true.\");if(o.recurse)if(bu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=dR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function CN(r){return r===null?null:bu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function bu(r){let t=!1;if(M().get(\"IS_BROWSER\"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=wN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r==\"object\"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function hR(r){return r==null||X7(r)||Array.isArray(r)||typeof r==\"object\"&&r instanceof Ft||y.isTypedArray(r)}function X7(r){return r===null||typeof r!=\"object\"&&typeof r!=\"function\"}function gR(r){return mR(r,Y7)}function Y7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:bu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Yf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError(\"Can't create a ring buffer of unknown capacity.\");if(t<1)throw new RangeError(\"Can't create ring buffer of capacity < 1.\");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError(\"Can't get item at a negative index.\");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError(\"Can't set item at a negative index.\");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError(\"Ring buffer is full.\");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError(\"Ring buffer is empty.\");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Ec=class extends Yf{constructor(){super(Ec.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new kN(this,t,e)}columnMajorBatch(t,e=!0,n=CN){return this.rowMajorBatch(t,e).map(s=>fR(s,n))}concatenate(t,e){return new Hb(FN([this,t]),e)}take(t){return t<0||t==null?this:new TN(this,t)}skip(t){return t<0||t==null?this:new NN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new RN(this,t,e)}serial(){return new SN(this)}},IN=class extends tr{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:gR(t),done:!1}}},vN=class extends tr{constructor(t){super(),this.nextFn=t}summary(){return\"Function call\"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},SN=class extends tr{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},NN=class extends tr{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},kN=class extends tr{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},EN=class extends tr{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;Nt(t.value)}}},_N=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},AN=class extends tr{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},_c=class extends tr{constructor(){super(),this.outputQueue=new Ec,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},$N=class extends _c{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends tr{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return\"TODO: fill in upstream of chained summaries -> Chained\"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},gl;(function(r){r[r.FAIL=0]=\"FAIL\",r[r.SHORTEST=1]=\"SHORTEST\",r[r.LONGEST=2]=\"LONGEST\"})(gl||(gl={}));var DN=class extends tr{constructor(t,e=gl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return\"{TODO: fill in upstream of zip summaries} -> Zip\"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof tr?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case gl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case gl.SHORTEST:return{value:null,done:!0};case gl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends tr{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Yf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},RN=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=xR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Qs=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is\n ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),En(async()=>(await n.iterator()).columnMajorBatch(t,e,Z7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,En(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,En(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return En(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return En(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError(\"`Dataset.prefetch()` requires bufferSize to be specified.\");let e=this;return En(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,En(async()=>{let o=zh(async()=>({value:await e.iterator(),done:!1}));return yR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError(\"`Dataset.shuffle()` requires bufferSize to be specified.\"):new RangeError(`\\`Dataset.shuffle()\\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \\`tf.Tensor\\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=wR.alea(e||y.now().toString());return En(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,En(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error(\"Can not convert infinite data stream to array.\");return(await this.iterator()).toArrayForTest()}};Qs.MAX_BUFFER_SIZE=1e4;function En(r,t=null){return new class extends Qs{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function CR(r){return En(async()=>FN(r),r.length)}function IR(r){if(!bu(r))throw new Error(\"The argument to zip() must be an object or array.\");let t;if(Array.isArray(r))for(let e=0;e{let e=await Wb(r,n=>{if(n instanceof Qs)return{value:n.iterator(),recurse:!1};if(bu(n))return{value:null,recurse:!0};throw new Error(\"Leaves of the structure passed to zip() must be Datasets, not primitives.\")});return bR(e,gl.SHORTEST)},t)}function Z7(r){if(r===null)return null;let t=r[0];return hR(t)?{value:J7(r),recurse:!1}:{value:null,recurse:!0}}function J7(r){if(r.length===0)throw new Error(\"Can't make a batch of zero elements.\");return r[0]instanceof Ft?qe(r):or(r)}var Zf=class extends Qs{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`\n`).map(o=>(o.endsWith(\"\\r\")&&(o=o.slice(0,-1)),o))}};var Kb='\"',Bh=Symbol(\"out\"),vR=Symbol(\"field\"),jb=Symbol(\"quote\"),ON=Symbol(\"quoteafterquote\"),SR=Symbol(\"quoteinquote\"),Jf=class extends Qs{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=\",\",this.delimWhitespace=!1,this.base=new Zf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>\"Delimiter should not be provided when delimWhitespace is true.\"),this.delimWhitespace=!0,this.delimiter=\" \"):this.delimiter=e.delimiter?e.delimiter:\",\"}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error(\"Column names must be provided if there is no header line.\");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>\"The length of provided columnNames (\"+this.fullColumnNames.length.toString()+\") does not match the length of the header line read from file (\"+t.length.toString()+\").\"),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>\"Duplicate column names found: \"+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key \"'+o+'\" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+\").\")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error(\"No data was found for CSV parsing.\");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error(\"Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.\")}summary(){return\"microphone\"}static async create(t={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"microphone API is only supported in browser environment.\");let e=new Qf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error(\"Could not obtain audio from microphone.\");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error(\"Can not convert infinite audio stream to array.\")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),or(n,e)}};var td=class extends tr{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],\"int32\"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Ws([i,s,u,a],[1,4])}else this.cropBox=Ws([0,0,1,1],[1,4])}summary(){return\"webcam\"}static async create(t,e={}){if(!M().get(\"IS_BROWSER\"))throw new Error(\"tf.data.webcam is only supported in browser environment.\");if(!t){if(t=document.createElement(\"video\"),!e.resizeWidth||!e.resizeHeight)throw new Error(\"Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.\");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new td(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode===\"user\"||this.webcamConfig.facingMode===\"environment\",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:\"user\",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error(\"Could not obtain video from webcam.\");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=gy.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=ir(J(t,\"float32\"),0),n;n=oo.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,\"bilinear\");let o=n.shape;return R(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error(\"Can not convert infinite video stream to array.\")}};var ed=class{};var Vh=class extends tr{split(t){return new PN(this,t)}},PN=class extends Vh{constructor(t,e){super(),this.upstream=t,this.impl=new LN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},LN=class extends _c{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=\"\"}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===\"\"?!1:(this.outputQueue.push(this.carryover),this.carryover=\"\",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Xb=class extends tr{decodeUTF8(){return new MN(this)}},MN=class extends Vh{constructor(t){super(),this.upstream=t,this.impl=new zN(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},zN=class extends _c{constructor(t){if(super(),this.upstream=t,M().get(\"IS_BROWSER\"))this.decoder=new TextDecoder(\"utf-8\");else{let{StringDecoder:e}=wN();this.decoder=new e(\"utf8\")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return M().get(\"IS_BROWSER\")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var rd=class extends Xb{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(M().get(\"IS_BROWSER\")?t instanceof File||t instanceof Blob:!1),()=>\"FileChunkIterator only supports File, Blob and Uint8Array right now.\"),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError(\"FileReader returned unknown type.\"));e(u)},s.onabort=a=>n(new Error(\"Aborted\")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function NR(r,t={},e){let n,o;typeof r==\"string\"?n=r:(n=r.url,o=Q7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new rd(i,t)}else throw new Error(s.statusText)}var Q7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Yb(r){return typeof r==\"string\"&&r.slice(0,7)===\"file://\"}var nd=class extends ed{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Yb(this.input)&&M().get(\"IS_NODE\")){let t=Zb();this.input=t.readFileSync(this.input.slice(7))}return new rd(this.input,this.options)}};var od=class extends ed{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Yb(this.url)?new nd(this.url,this.fileOptions).iterator():NR(this.url,this.fileOptions)}};function TR(r,t={}){return new Jf(new od(r),t)}function kR(r){let t=zh(r);return En(async()=>t)}function ER(r){return En(async()=>{let t=await r();return zh(()=>t.next())})}async function _R(r,t){return td.create(r,t)}async function AR(r){return Qf.create(r)}var BN=\"4.2.0\";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var tJ=qr.whereImpl,wu=class extends zo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ia(this,Ln())}nextDataId(){return wu.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,M().get(\"IS_NODE\")&&S.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e===\"string\"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e===\"complex64\"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return S.mergeRealAndImagArrays(o,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(t).values,e)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return bt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return bt(t.shape,t.dtype,e)}makeOutput(t,e,n){return Ln().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(t){tt([t],\"where\");let e=this.readSync(t.dataId);return tJ(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};wu.nextDataId=0;var mw={};Ut(mw,{addImpl:()=>WN,bincountImpl:()=>ad,bincountReduceImpl:()=>Jb,castImpl:()=>GN,ceilImpl:()=>UN,concatImpl:()=>Ac,equalImpl:()=>HN,expImpl:()=>KN,expm1Impl:()=>XN,floorImpl:()=>YN,gatherNdImpl:()=>Qb,gatherV2Impl:()=>tw,greaterEqualImpl:()=>JN,greaterImpl:()=>ZN,lessEqualImpl:()=>tT,lessImpl:()=>QN,linSpaceImpl:()=>ew,logImpl:()=>eT,maxImpl:()=>rw,maximumImpl:()=>rT,minimumImpl:()=>nT,multiplyImpl:()=>Gh,negImpl:()=>oT,notEqualImpl:()=>sT,prodImpl:()=>iT,raggedGatherImpl:()=>nw,raggedRangeImpl:()=>ow,raggedTensorToTensorImpl:()=>sw,rangeImpl:()=>Dc,rsqrtImpl:()=>aT,scatterImpl:()=>xl,sigmoidImpl:()=>iF,simpleAbsImpl:()=>VN,sliceImpl:()=>Rc,sparseFillEmptyRowsImpl:()=>iw,sparseReshapeImpl:()=>aw,sparseSegmentReductionImpl:()=>cd,sqrtImpl:()=>uF,squaredDifferenceImpl:()=>uT,stridedSliceImpl:()=>lw,stringNGramsImpl:()=>Fc,stringSplitImpl:()=>Oc,stringToHashBucketFastImpl:()=>Pc,subImpl:()=>pT,tileImpl:()=>uw,topKImpl:()=>cw,transposeImpl:()=>ld,uniqueImpl:()=>pw});function VN(r){let t=new Float32Array(r.length);for(let e=0;e{let{x:t}=r.inputs,e=r.backend;tt(t,\"abs\");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=VN(o),e.makeOutput(n,t.shape,t.dtype)},DR={kernelName:li,backendName:\"cpu\",kernelFunc:eJ};function Qt(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;xw[A]=0);let C=y.locToIndex(w,p,f),N=b.slice(-m);g.forEach(A=>N[A]=0);let _=y.locToIndex(N,m,d);c[x]=r(n[C],o[_])}return[c,i]}}function Ir(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,\"complex64\"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,\"float32\",s),imag:e.makeTensorInfo(o.shape,\"float32\",i)},a}var RR={kernelName:mp,backendName:\"cpu\",kernelFunc:Ir};function sd(r,t,e=\"float32\"){if(e===\"complex64\"){let o=sd(r,t,\"float32\"),s=sd(r,t,\"float32\");return Ir({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(t),e);return r.makeTensorInfo(t,e,n)}function Xr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var FR={kernelName:po,backendName:\"cpu\",kernelFunc:Xr};function Ao(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.data.get(n.dataId).complexTensorInfos.real,s=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,s)}var OR={kernelName:Fp,backendName:\"cpu\",kernelFunc:Ao};function GN(r,t,e,n){if(n===\"int32\"){let o=Int32Array.from(r);return[t,\"int32\",o]}if(n===\"bool\"){let o=y.toTypedArray([0],e),[s,i]=Qt((a,u)=>a!==u?1:0)(t,[],r,o,\"bool\");return[i,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${e} to ${n}`)}function $o(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return Xr({inputs:{x:o},backend:e});let c=sd(e,o.shape,o.dtype),p=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),m=Ir({inputs:{real:p,imag:c},backend:e});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),m}if(o.dtype===\"complex64\"){let c=Ao({inputs:{input:o},backend:e}),p=$o({inputs:{x:c},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(c),p}if(!y.hasEncodingLoss(o.dtype,s)){let c=Xr({inputs:{x:o},backend:e});return{dataId:c.dataId,shape:c.shape,dtype:s}}let i=e.data.get(o.dataId).values,[a,u,l]=GN(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}var PR={kernelName:uo,backendName:\"cpu\",kernelFunc:$o};function ie(r,t,e,n){return e==null?({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;tt([i,a],r);let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=i.dtype===\"string\"?S.fromUint8ToStringArray(l):l,m=i.dtype===\"string\"?S.fromUint8ToStringArray(c):c,f=n||i.dtype,[d,h]=t(i.shape,a.shape,p,m,f);return u.makeTensorInfo(h,f,d)}:({inputs:o,backend:s})=>{let{a:i,b:a}=o,u=s;if(i.dtype===\"complex64\"||a.dtype===\"complex64\"){let l=$o({inputs:{x:i},backend:u,attrs:{dtype:\"complex64\"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(m.dataId).values,h=$o({inputs:{x:a},backend:u,attrs:{dtype:\"complex64\"}}),g=u.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=u.data.get(x.dataId).values,C=u.data.get(b.dataId).values,[N,_,A]=e(i.shape,a.shape,f,d,w,C),$=u.makeTensorInfo(A,\"float32\",N),F=u.makeTensorInfo(A,\"float32\",_),P=Ir({inputs:{real:$,imag:F},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(h),u.disposeIntermediateTensorInfo($),u.disposeIntermediateTensorInfo(F),P}else{let l=u.data.get(i.dataId).values,c=u.data.get(a.dataId).values,p=n||i.dtype,[m,f]=t(i.shape,a.shape,l,c,p);return u.makeTensorInfo(f,p,m)}}}function id(r){return(t,e,n,o,s,i)=>{let a=S.assertAndGetBroadcastShape(t,e),u=y.sizeFromShape(a),l=a.length,c=y.computeStrides(a),p=y.getTypedArrayFromDType(\"float32\",u),m=y.getTypedArrayFromDType(\"float32\",u),f=S.getBroadcastDims(t,a),d=S.getBroadcastDims(e,a),h=S.mergeRealAndImagArrays(n,o),g=S.mergeRealAndImagArrays(s,i),x=t.length,b=y.computeStrides(t),w=e.length,C=y.computeStrides(e);if(f.length+d.length===0)for(let N=0;NA[G]=0);let $=y.locToIndex(A,x,b),F=_.slice(-w);d.forEach(G=>F[G]=0);let P=y.locToIndex(F,w,C),V=r(h[$*2],h[$*2+1],g[P*2],g[P*2+1]);p[N]=V.real,m[N]=V.imag}return[p,m,a]}}var WN=Qt((r,t)=>r+t),rJ=id((r,t,e,n)=>({real:r+e,imag:t+n})),Yi=ie(Jn,WN,rJ),LR={kernelName:Jn,backendName:\"cpu\",kernelFunc:Yi};function ad(r,t,e,n,o){let s=y.sizeFromShape(n),i=y.makeZerosTypedArray(o,e);for(let a=0;a=o||(s>0?i[u]+=t[a]:i[u]+=1)}return i}function Jb(r,t,e,n=!1){let o=r.shape[0],s=r.shape[1],i=bt([o,e],t.dtype);for(let a=0;a=e||(n?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,u),a,l):i.set(i.get(a,l)+1,a,l))}return i}function wn(r){return(t,e,n)=>{let o=y.getTypedArrayFromDType(e,t.length);for(let s=0;s{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=y.sizeFromShape(i.shape),c=e||i.dtype,p=y.getArrayFromDType(c,l);for(let m=0;m{let{x:i}=n;if(tt(i,r),i.dtype===\"string\"||e===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let a=s,u=a.data.get(i.dataId).values,l=e||i.dtype,c=t(u,l,o);return a.makeTensorInfo(i.shape,l,c)}}var UN=wn(r=>Math.ceil(r)),nJ=Do(Ho,UN),MR={kernelName:Ho,backendName:\"cpu\",kernelFunc:nJ};function Ac(r,t,e,n){let o=y.getArrayFromDType(e,y.sizeFromShape(t));if(n&&e!==\"string\"){let s=0;r.forEach(i=>{let a=y.sizeFromShape(i.shape);o.set(i.vals,s),s+=a})}else{let s=0;r.forEach(i=>{let a=e===\"string\"?S.fromUint8ToStringArray(i.vals):i.vals,u=0;for(let l=0;lr===t?1:0),qN=ie(Ca,HN,null,\"bool\"),zR={kernelName:Ca,backendName:\"cpu\",kernelFunc:qN};var KN=wn(r=>Math.exp(r)),jN=Do(ts,KN,\"float32\"),BR={kernelName:ts,backendName:\"cpu\",kernelFunc:jN};var XN=wn(r=>Math.expm1(r)),oJ=Do(Ia,XN),VR={kernelName:Ia,backendName:\"cpu\",kernelFunc:oJ};var YN=wn(r=>Math.floor(r)),sJ=Do(es,YN),GR={kernelName:es,backendName:\"cpu\",kernelFunc:sJ};function Qb(r,t,e,n,o,s,i,a,u){let l=bt([n,s],e);for(let c=0;c=u/s)throw new Error(`Invalid indices: ${p} does not index into ${a}`);for(let f=0;fr>t?1:0),iJ=ie(Na,ZN,null,\"bool\"),WR={kernelName:Na,backendName:\"cpu\",kernelFunc:iJ};var JN=Qt((r,t)=>r>=t?1:0),aJ=ie(os,JN,null,\"bool\"),UR={kernelName:os,backendName:\"cpu\",kernelFunc:aJ};var QN=Qt((r,t)=>rr<=t?1:0),uJ=ie(_a,tT,null,\"bool\"),qR={kernelName:_a,backendName:\"cpu\",kernelFunc:uJ};function ew(r,t,e){let n=(t-r)/(e-1),o=y.makeZerosTypedArray(e,\"float32\");o[0]=r;for(let s=1;sMath.log(r)),cJ=Do(as,eT),KR={kernelName:as,backendName:\"cpu\",kernelFunc:cJ};function rw(r,t,e,n){let o=y.getTypedArrayFromDType(n,y.sizeFromShape(e));for(let s=0;sa)&&(a=l)}o[s]=a}return o}var rT=Qt((r,t)=>Math.max(r,t)),pJ=ie(us,rT),jR={kernelName:us,backendName:\"cpu\",kernelFunc:pJ};var nT=Qt((r,t)=>Math.min(r,t)),mJ=ie(fs,nT),XR={kernelName:fs,backendName:\"cpu\",kernelFunc:mJ};var Gh=Qt((r,t)=>r*t),fJ=id((r,t,e,n)=>({real:r*e-t*n,imag:r*n+t*e})),$c=ie(hs,Gh,fJ),YR={kernelName:hs,backendName:\"cpu\",kernelFunc:$c};function oT(r,t,e){let n=y.createScalarValue(-1,e);return Gh([],t,n,r,e)}function dJ(r){let{inputs:t,backend:e}=r,{x:n}=t;tt(n,\"neg\");let o=e.data.get(n.dataId).values,[s,i]=oT(o,n.shape,n.dtype);return e.makeTensorInfo(i,n.dtype,s)}var ZR={kernelName:fi,backendName:\"cpu\",kernelFunc:dJ};var sT=Qt((r,t)=>r!==t?1:0),hJ=ie(Oa,sT,null,\"bool\"),JR={kernelName:Oa,backendName:\"cpu\",kernelFunc:hJ};function ld(r,t,e,n,o){let s=t.length,i=y.sizeFromShape(t),a=y.computeStrides(t),u=y.computeStrides(o),l=y.getTypedArrayFromDType(e,y.sizeFromShape(o));for(let c=0;ce.disposeIntermediateTensorInfo(b)),e.makeTensorInfo(x,g,d)}var tF={kernelName:ws,backendName:\"cpu\",kernelFunc:gJ};function xJ(r,t,e){r.forEach((n,o)=>{if(n<0||n>=e){let s=y.indexToLoc(o,t.length,y.computeStrides(t)).join(\",\");throw new Error(`indices[${s}] = ${n} is not in [0, ${e})`)}})}function yJ(r,t){for(let e=0;eo)throw new Error(\"Ragged splits must not point past values\");for(let s=1;sn[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function bJ(r,t,e,n){let o=[],s=0,i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);yJ(e,n);let u=1;for(let l=0;l=0){let h=a[d],g=h[h.length-1]-f[c];for(let x=c;xo[i]=s)}return t}function eF(r,t){let e=r.slice(0,t);for(;e.length1)throw new Error(\"starts must be a scalar or vector\");if(o.length>1)throw new Error(\"limits must be a scalar or vector\");if(i.length>1)throw new Error(\"deltas must be a scalar or vector\");let a=t.length===0,u=o.length===0,l=i.length===0,c=[];a||c.push(t[0]),u||c.push(o[0]),l||c.push(i[0]);for(let g=1;g0&&bx)C=0;else if(C=Math.ceil(Math.abs((b-x)/w)),C>rF)throw new Error(`Requires ((limit - start) / delta) <= ${rF}`);m[g+1]=m[g]+C}let f=m[p],d=y.getArrayFromDType(e,f),h=0;for(let g=0;gn&&(n=s)}return n}static getMaxWidthValueRowID(t){let e=t.length;if(e===0)return 0;let n=0,o=t[0],s=0;for(let i=1;i\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(t,e,n,o){let s=t.length,i=[];for(let a=0;a0&&i.length!==t[s-1])throw new Error(\"Invalid row split size.\");return i}calculateOutputIndexValueRowID(t,e,n,o){let s=t.length,i=[];if(s===0)return[];let a=0,u=t[0];if(u>=e.length)throw new Error(`Got currentValueRowId=${u}, which is not less than ${e.length}`);let l=e[u];i.push(l);for(let c=1;c=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${e.length}`);l=e[p]}i.push(l)}if(i.length!==t.length)throw new Error(\"Invalid row ids.\");return i}calculateOutputIndex(t,e,n,o){let s=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Ro.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,e,n,o);case Ro.ROW_SPLITS:if(s.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(s,e,n,o);default:throw new Error(`Unsupported partition type: ${Ro[i]}`)}}getFirstDimensionSize(){let t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let e=this.rowPartitionTypes[0];switch(e){case Ro.FIRST_DIM_SIZE:return t[0];case Ro.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case Ro.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Ro[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let e=this.getFirstDimensionSize(),n=this.calculateOutputSize(e),o=new Array(this.raggedRank+1);o[o.length-1]=1;for(let u=o.length-2;u>=0;--u)o[u]=o[u+1]*n[u+1];let s=oF(n,!1),i=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(o[0]*n[0]>0){let u=this.calculateFirstParentOutputIndex(e,o[0],n[0]);for(let l=1;l<=this.raggedRank;++l)u=this.calculateOutputIndex(l-1,u,o[l],n[l]);this.setOutput(this.raggedRank,u,i,s)}return[s,i]}setOutput(t,e,n,o){if(n.length===0)return;let s=this.values,i=n,a=o.slice();a=a.slice(t+1);let u=y.sizeFromShape(a),l=e.length,c=this.defaultValue;if(c.length!==u&&c.length!==1){let d=this.defaultValueShape;B(()=>{let h=R(c,d);c=Fi(h,a).dataSync()})}let p=0,m=0,f=0;for(let d=0;d<=l;++d){let h=d=l){let g=n.length;h=Math.floor(g/u)}if(h>f)if(this.defaultValue.length===1)i.subarray(f*u,h*u).fill(this.defaultValue[0]),f=h;else for(;h>f;){let g=i.slice(f*u);nF(g,c,u),++f}h<0?(p=d+1,m=f):(p=d,m=f,f=m+1)}}};function nF(r,t,e){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}e.push(n)}return e}function sw(r,t,e,n,o,s,i,a,u,l){return new ud(r,t,e,n,o,s,i,a,u,l).compute()}function Dc(r,t,e,n){let o=r===t,s=r1;if(o||s||i)return y.makeZerosTypedArray(0,n);let a=Math.abs(Math.ceil((t-r)/e)),u=y.makeZerosTypedArray(a,n);t1/Math.sqrt(r)),vJ=Do(Es,aT),sF={kernelName:Es,backendName:\"cpu\",kernelFunc:vJ};function xl(r,t,e,n,o,s,i,a,u,l){let c=[n/o,o],p=r.values,m=t.values;if(n===0)return bt(e,t.dtype);let f=bt(c,t.dtype);typeof u==\"string\"||typeof u==\"number\"?f.values.fill(u):typeof u==\"boolean\"&&f.values.fill(+u);for(let d=0;d=n/o)throw new Error(`Invalid indices: ${h} does not index into ${e}`);for(let x=0;x1/(1+Math.exp(-r))),lT=Et(As,r=>1/(1+Math.exp(-r))),aF={kernelName:As,backendName:\"cpu\",kernelFunc:lT};function Rc(r,t,e,n,o){let s=ze.isSliceContinous(n,t,e),i=y.sizeFromShape(e),a=y.computeStrides(n);if(s){let p=ze.computeFlatOffset(t,a);return o===\"string\"?r.slice(p,p+i):r.subarray(p,p+i)}let u=o===\"string\"?S.fromUint8ToStringArray(r):r,l=bt(n,o,u),c=bt(e,o);for(let p=0;pd+t[h]);c.set(l.get(...f),...m)}return o===\"string\"?S.fromStringArrayToUint8(c.values):c.values}function Fo(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n;tt(o,\"slice\");let[a,u]=ze.parseSliceParams(o,s,i);ze.assertParamsValid(o,a,u);let l=e.data.get(o.dataId).values,c=Rc(l,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,c)}var lF={kernelName:yi,backendName:\"cpu\",kernelFunc:Fo};function iw(r,t,e,n,o,s,i){let a=t[0],u=s[0],l=new Array(u),c=new Array(a),p=t[1];if(u===0){if(a!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(a));let g=y.getArrayFromDType(e,0),x=y.getArrayFromDType(o,0);return[g,[0,p],x,l,c]}let m=!0,f=0,d=new Array(u).fill(0);for(let g=0;g=u)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,u));++d[x],m=m&&x>=f,f=x}let h=!0;for(let g=0;g0&&(d[g]+=d[g-1])}if(h&&m){let g=r,x=n;for(let b=0;b0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(a>0){d[a-1]=1;for(let g=a-2;g>=0;--g)d[g]=d[g+1]*u[g+1]}let h=y.getArrayFromDType(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(p<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=t.slice();m[0]=p;let f=m.reduce((w,C)=>w*C,1),d=y.getArrayFromDType(e,f);if(a===0)return p>0&&d.fill(i),[d,m];if(p<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=o[h];for(;;){let w=0;if(g=w)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=p)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,p));b>x&&d.fill(i,x*l,b*l);for(let C=h;C=u[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C,n[C],u[0]));for(let _=0;_a)break}return xMath.sqrt(r)),SJ=Et($s,r=>Math.sqrt(r)),cF={kernelName:$s,backendName:\"cpu\",kernelFunc:SJ};var uT=Qt((r,t)=>{let e=r-t;return e*e}),NJ=ie(Fs,uT),pF={kernelName:Fs,backendName:\"cpu\",kernelFunc:NJ};function lw(r,t,e,n){let o=bt(r,t.dtype);for(let s=0;s0?0:a-u),f=0;f+=l*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(t[m+p-1]);for(let b=0;b0){let u=e[0];if(u!==0)throw new Error(`First split value must be 0, got ${u}`);for(let l=1;l=u;if(c=c&&e[l]<=n,!c)throw new Error(`Invalid split value ${e[l]}, must be in [${u}, ${n}]`);u=e[l]}if(u!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${u}`)}let s=o-1,i=y.getArrayFromDType(\"int32\",o);if(n===0||o===0){let u=new Array(n);for(let l=0;l<=s;++l)i[l]=0;return[u,i]}i[0]=0;for(let u=1;u<=s;++u){let l=e[u]-e[u-1],c=0;this.nGramWidths.forEach(p=>{c+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&c===0&&(c=1),i[u]=i[u-1]+c}let a=new Array(i[s]);for(let u=0;u{let m=e[u+1]-e[u],f=this.getNumNGrams(m,p);this.createNGrams(t,l,a,c,f,p),c+=f}),this.preserveShort&&c===i[u]){let p=e[u+1]-e[u];if(p===0)continue;let m=p+2*this.padWidth,f=1;this.createNGrams(t,l,a,c,f,m)}}return[a,i]}};function Fc(r,t,e,n,o,s,i,a){return new cT(e,n,o,s,i,a).compute(r,t)}function TJ(r,t,e,n){if(!r.length)return;if(t.length===0){for(let s=0;sr-t),kJ=id((r,t,e,n)=>({real:r-e,imag:t-n})),Wh=ie(Os,pT,kJ),mF={kernelName:Os,backendName:\"cpu\",kernelFunc:Wh};function uw(r,t){let e=new Array(r.rank);for(let o=0;o{let e=t.value-r.value;return e===0?r.index-t.index:e};function fF(r,t,e=0,n=r.length-1){for(;n>e;){if(n-e>600){let a=n-e+1,u=t-e+1,l=Math.log(a),c=.5*Math.exp(2*l/3),p=.5*Math.sqrt(l*c*(a-c)/a)*Math.sign(u-a/2),m=Math.max(e,Math.floor(t-u*c/a+p)),f=Math.min(n,Math.floor(t+(a-u)*c/a+p));fF(r,t,m,f)}let o=r[t],s=e,i=n;for(y.swap(r,e,t),Uh(r[n],o)>0&&y.swap(r,e,n);s0;)i=i-1}Uh(r[e],o)===0?y.swap(r,e,i):(i=i+1,y.swap(r,i,n)),i<=t&&(e=i+1),t<=i&&(n=i-1)}}function cw(r,t,e,n,o){let s=t[t.length-1],[i,a]=[r.length/s,s],u=y.getTypedArrayFromDType(e,i*n),l=y.getTypedArrayFromDType(\"int32\",i*n);for(let p=0;pd[w]={value:b,index:w}),n{for(let g=0;gnew wu,1);var mT=Et(Qo,r=>r>=0?r:Math.exp(r)-1),dF={kernelName:Qo,backendName:\"cpu\",kernelFunc:mT};function fT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n;tt([o],\"leakyRelu\");let i=y.sizeFromShape(o.shape),a=e.data.get(o.dataId).values,u=y.getTypedArrayFromDType(\"float32\",i);for(let l=0;lr<0?t*r:r);function dT(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t;tt([n,o],\"prelu\");let s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,[a,u]=_J(n.shape,o.shape,s,i,\"float32\");return e.makeTensorInfo(u,\"float32\",a)}var gF={kernelName:bs,backendName:\"cpu\",kernelFunc:dT};var hT=Et(Is,r=>Math.max(0,r)),xF={kernelName:Is,backendName:\"cpu\",kernelFunc:hT};var gT=Et(Ns,r=>Math.min(Math.max(0,r),6)),yF={kernelName:Ns,backendName:\"cpu\",kernelFunc:gT};function Lc(r,t,e,n,o){if(e===\"linear\")return Xr({inputs:{x:t},backend:r});if(e===\"relu\")return hT({inputs:{x:t},backend:r});if(e===\"elu\")return mT({inputs:{x:t},backend:r});if(e===\"relu6\")return gT({inputs:{x:t},backend:r});if(e===\"prelu\")return dT({inputs:{x:t,alpha:n},backend:r});if(e===\"leakyrelu\")return fT({inputs:{x:t},backend:r,attrs:{alpha:o}});if(e===\"sigmoid\")return lT({inputs:{x:t},backend:r});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}function Zt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(a);y.assert(i===u,()=>`The new shape (${a}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);let l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){let c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=a,p.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}var bF={kernelName:gi,backendName:\"cpu\",kernelFunc:Zt};function xT(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;tt([o,s],\"matMul\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=Zt({inputs:{x:o},backend:e,attrs:{shape:C}}),A=Zt({inputs:{x:s},backend:e,attrs:{shape:N}}),$=i?_.shape[1]:_.shape[2],F=i?_.shape[2]:_.shape[1],P=a?A.shape[1]:A.shape[2],V=Math.max(g,x),G=e.data.get(_.dataId).values,W=e.data.get(A.dataId).values,q=y.computeStrides(_.shape),H=y.computeStrides(A.shape),[K,X,Z]=i?[q[0],1,q[1]]:[q[0],q[1],1],[et,rt,ot]=a?[1,H[1],H[0]]:[H[1],1,H[0]],at=F*P,nt=bt([V,F,P],_.dtype),st=nt.values,ft=e.blockSize;for(let gt=0;gtMath.acos(r)),IF={kernelName:la,backendName:\"cpu\",kernelFunc:$J};var DJ=Et(ua,r=>Math.acosh(r)),vF={kernelName:ua,backendName:\"cpu\",kernelFunc:DJ};function RJ(r){let{inputs:t,backend:e}=r,n=t;tt(t,\"addN\");let o=n.map(a=>e.data.get(a.dataId).values),s=bt(n[0].shape,n[0].dtype),i=s.values;for(let a=0;ab&&(b=N,w=C)}f[g]=w}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var kF={kernelName:Go,backendName:\"cpu\",kernelFunc:PJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n;tt(o,\"argMin\");let i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Ge({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),i=[i[0]],S.assertAxesAreInnerMostDims(\"argMin\",i,u.shape.length);let[c,p]=S.computeOutAndReduceShapes(u.shape,i),m=y.sizeFromShape(c),f=y.makeZerosTypedArray(m,\"int32\"),d=y.sizeFromShape(p),h=e.data.get(u.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(c,\"int32\",f)}var EF={kernelName:_l,backendName:\"cpu\",kernelFunc:LJ};var MJ=Et(ma,r=>Math.asin(r)),_F={kernelName:ma,backendName:\"cpu\",kernelFunc:MJ};var zJ=Et(fa,r=>Math.asinh(r)),AF={kernelName:fa,backendName:\"cpu\",kernelFunc:zJ};var BJ=Et(da,r=>Math.atan(r)),$F={kernelName:da,backendName:\"cpu\",kernelFunc:BJ};var VJ=Qt((r,t)=>Math.atan2(r,t)),GJ=ie(ga,VJ),DF={kernelName:ga,backendName:\"cpu\",kernelFunc:GJ};var WJ=Et(ha,r=>Math.atanh(r)),RF={kernelName:ha,backendName:\"cpu\",kernelFunc:WJ};function pd(r,t,e,n,o,s){let i=o.strideHeight,a=o.strideWidth,u=o.dilationHeight,l=o.dilationWidth,c=o.effectiveFilterHeight,p=o.effectiveFilterWidth,m=o.padInfo.top,f=o.padInfo.left,d=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=bt(o.outShape,e),g=h.values,x=o.outShape[1]*o.outShape[2]*o.outShape[3],b=o.outShape[2]*o.outShape[3],w=o.outShape[3];for(let C=0;CX?X=ft:s===\"avg\"&&(Z+=ft,et++)}if(isNaN(X))break}let rt=G+W*w+A;g[rt]=s===\"avg\"?Z/et:X}}}return h}function fw(r,t,e,n,o=!1,s=!1){let i=bt(n.outShape,\"int32\"),a=n.strideHeight,u=n.strideWidth,l=n.dilationHeight,c=n.dilationWidth,p=n.effectiveFilterHeight,m=n.effectiveFilterWidth,f=n.padInfo.top,d=n.padInfo.left,h=bt(t,e,r);for(let g=0;gP&&(P=K,o?V=s?((g*n.inHeight+G)*n.inWidth+q)*n.inChannels+x:(G*n.inWidth+q)*n.inChannels+x:V=W*m+H)}}i.set(V,g,b,_,x)}}return i}function dw(r,t,e,n,o,s){let i=o.strideDepth,a=o.strideHeight,u=o.strideWidth,l=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=bt(o.outShape,e),C=w.values,N=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],_=o.outShape[2]*o.outShape[3]*o.outShape[4],A=o.outShape[3]*o.outShape[4],$=o.outShape[4];for(let F=0;F$t?$t=$e:s===\"avg\"&&(_t+=$e,Gt++),isNaN($t))break}if(isNaN($t))break}if(isNaN($t))break}let Wt=Ct+G;C[Wt]=s===\"avg\"?_t/Math.max(Gt,1):$t}}}}return w}function FF(r,t){let e=bt(t.outShape,\"int32\"),n=t.strideDepth,o=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,m=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left;for(let h=0;h=W&&(W=ot,q=K*c*p+Z*c+rt)}}}e.set(q,h,x,N,F,g)}}}return e}function UJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;tt(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Xr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=pd(m,o.shape,o.dtype,f,c,\"avg\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var OF={kernelName:Wo,backendName:\"cpu\",kernelFunc:UJ};function HJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"avgPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"avg\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var PF={kernelName:Al,backendName:\"cpu\",kernelFunc:HJ};function qJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"avgPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,C=c.effectiveFilterDepth,N=c.effectiveFilterHeight,_=c.effectiveFilterWidth,A=C-1-c.padInfo.front,$=_-1-c.padInfo.left,F=N-1-c.padInfo.top,P=bt(s.shape,\"float32\"),V=1/(d*h*g),G=e.bufferSync(o);for(let W=0;W=c.outDepth||Math.floor(nt)!==nt))for(let st=0;st=c.outHeight||Math.floor(ft)!==ft))for(let gt=0;gt<_;gt+=w){let Ct=(rt+gt)/f;if(Ct<0||Ct>=c.outWidth||Math.floor(Ct)!==Ct)continue;let $t=G.get(W,nt,ft,Ct,q);ot+=$t}}}P.set(ot*V,W,H,K,X,q)}return e.makeTensorInfo(P.shape,P.dtype,P.values)}var LF={kernelName:up,backendName:\"cpu\",kernelFunc:qJ};function KJ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;tt([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,C=x-1-c.padInfo.top,N=bt(i.shape,\"float32\"),_=1/(f*d),A=e.data.get(o.dataId).values,$=bt(o.shape,\"float32\",A);for(let F=0;F=c.outHeight||Math.floor(X)!==X))for(let Z=0;Z=c.outWidth||Math.floor(et)!==et)continue;let rt=$.get(F,X,et,P);H+=rt}}N.set(H*_,F,V,G,P)}return e.makeTensorInfo(N.shape,N.dtype,N.values)}var MF={kernelName:lp,backendName:\"cpu\",kernelFunc:KJ};function jJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,scale:s,offset:i,mean:a,variance:u}=t;y.assert(a.shape.length===u.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||a.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||a.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),tt([o,a,u,s,i],\"batchNorm\");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=e.data.get(o.dataId).values,p=e.data.get(a.dataId).values,m=e.data.get(u.dataId).values,f=s?e.data.get(s.dataId).values:new Float32Array([1]),d=i?e.data.get(i.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=d.length,x=f.length,b=m.length,w=p.length,C=0,N=0,_=0,A=0;for(let $=0;$=g&&(C=0),N>=w&&(N=0),_>=x&&(_=0),A>=b&&(A=0);return e.makeTensorInfo(o.shape,o.dtype,h)}var zF={kernelName:ns,backendName:\"cpu\",kernelFunc:jJ};function XJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;tt([o],\"batchToSpaceND\");let a=s.reduce((x,b)=>x*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=Zt({inputs:{x:o},backend:e,attrs:{shape:u}}),d=Ge({inputs:{x:f},backend:e,attrs:{perm:l}}),h=Zt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Fo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var BF={kernelName:ui,backendName:\"cpu\",kernelFunc:XJ};function YJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,l=ad(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var VF={kernelName:cp,backendName:\"cpu\",kernelFunc:YJ};function ZJ(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var GF={kernelName:pp,backendName:\"cpu\",kernelFunc:ZJ};var JJ=Et(co,(r,t)=>{let e=t;return r>e.clipValueMax?e.clipValueMax:r{let{x:t}=r.inputs,e=r.backend,n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId),s=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values;for(let l=0;lh.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(h=>y.sizeFromShape(h.shape)>0);if(u.length===1)return Xr({inputs:{x:u[0]},backend:e});if(u[0].dtype===\"complex64\"){let h=u.map(C=>Ao({inputs:{input:C},backend:e})),g=u.map(C=>Zi({inputs:{input:C},backend:e})),x=Cu({inputs:h,backend:e,attrs:{axis:s}}),b=Cu({inputs:g,backend:e,attrs:{axis:s}}),w=Ir({inputs:{real:x,imag:b},backend:e});return h.forEach(C=>e.disposeIntermediateTensorInfo(C)),g.forEach(C=>e.disposeIntermediateTensorInfo(C)),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(b),w}let l=u.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Zt({inputs:{x:h},backend:e,attrs:{shape:x}})}),c=l.map(h=>({vals:e.data.get(h.dataId).values,shape:h.shape}));a=S.computeOutShape(l.map(h=>h.shape),1);let p=l[0].shape[0]===1,m=Ac(c,a,t[0].dtype,p),f=S.computeOutShape(u.map(h=>h.shape),s),d=e.makeTensorInfo(f,t[0].dtype,m);return l.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var qF={kernelName:ci,backendName:\"cpu\",kernelFunc:Cu};function yT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n;tt([o,s],\"conv2d\");let p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat===\"channelsLast\",C=new pe(m.outShape,o.dtype),N=y.computeStrides(o.shape),_=y.computeStrides(s.shape),A=N[0],$=w?N[1]:N[2],F=w?N[2]:1,P=w?1:N[1],V=C.strides[0],G=w?C.strides[1]:C.strides[2],W=w?C.strides[2]:1,q=w?1:C.strides[1],H=e.data.get(o.dataId).values,K=e.data.get(s.dataId).values,X=C.values;for(let Z=0;Z=m.inHeight)continue;let gt=st*_[0],Ct=et+ft*$;for(let $t=0;$t=m.inWidth)continue;let he=gt+Wt*_[1],ee=Ct+ue*F,ge=he;for(let fe=0;fe=l.inDepth)continue;let Z=K*F[0],et=V+X*$[1];for(let rt=0;rt=l.inHeight)continue;let ft=Z+nt*F[1],gt=et+st*$[2];for(let Ct=0;Ct=l.inWidth)continue;let ue=ft+Gt*F[2],he=gt+Wt*l.inChannels,ee=ue;for(let ge=0;geMath.cos(r)),QF={kernelName:jo,backendName:\"cpu\",kernelFunc:sQ};var iQ=Et(Xo,r=>Math.cosh(r)),tO={kernelName:Xo,backendName:\"cpu\",kernelFunc:iQ};function aQ(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=a,x=bt([d,h,g,f],\"float32\"),b=e.data.get(s.dataId).values,w=e.data.get(i.dataId).values,C=e.data.get(o.dataId).values,N=y.computeStrides(o.shape),_=y.computeStrides(x.shape);for(let A=0;A=c)continue;let q=h>1?(V-F)*(p-1)/(h-1):0,H=g>1?(G-P)*(m-1)/(g-1):0;for(let K=0;K1?F*(p-1)+K*q:.5*(F+V)*(p-1);if(X<0||X>p-1){for(let Z=0;Z1?P*(m-1)+ot*H:.5*(P+G)*(m-1);if(at<0||at>m-1){for(let gt=0;gt1?P*(m-1)+Z*H:.5*(P+G)*(m-1);if(et<0||et>m-1){for(let at=0;atx+d-b-1:(x,b)=>x+b;for(let x=0;xx+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let a=o.shape[0],u=o.shape[1],l=o.shape[2],c=o.shape[3],p=u*s,m=l*s,f=c/(s*s),d=e.data.get(o.dataId).values,h=new Float32Array(a*p*m*f),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${m}'`);let f=S.computeConv2DInfo(o.shape,s.shape,i,m,a,l,!0),{filterHeight:d,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=f,w=b.left,C=b.top,N=f.outChannels/f.inChannels,_=new pe(f.outShape,o.dtype),A=e.data.get(o.dataId).values,$=e.data.get(s.dataId).values,F=_.values;for(let P=0;P=f.inHeight)continue;let Z=K*p[0],et=V+X*c[1];for(let rt=0;rt=f.inWidth)continue;let ft=Z+nt*p[1],gt=et+st*f.inChannels,Ct=ot,$t=ft;for(let _t=0;_t{let{x:n,filter:o}=r,{strides:s,pad:i,dilations:a}=e,u=t,l=u.data.get(n.dataId).values,c=n.shape.length,p=u.data.get(o.dataId).values,m=o.shape.length,{batchSize:f,inHeight:d,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:C,strideWidth:N,filterHeight:_,filterWidth:A,dilationHeight:$,dilationWidth:F,outShape:P}=S.computeDilation2DInfo(n.shape,o.shape,s,i,\"NHWC\",a),V=y.sizeFromShape(P),G=P.length,W=y.getArrayFromDType(n.dtype,V);for(let H=0;H=0&&st=0&>ot&&(ot=_t)}}}let at=y.locToIndex([H,K,Z,rt],G,y.computeStrides(P));W[at]=ot}}}return{dataId:u.write(y.toTypedArray(W,n.dtype),P,n.dtype),shape:P,dtype:n.dtype}}};var pO={kernelName:jd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${jd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let W=0;W=0&&nt=0&&ftet&&(et=gt,rt=at,ot=st)}}}V[rt][ot][Z]+=P[W][q][K][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};var mO={kernelName:Kd,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t,attrs:e})=>{let{x:n,filter:o,dy:s}=r,{strides:i,pad:a,dilations:u}=e,l=t,c=y.toNestedArray(n.shape,l.data.get(n.dataId).values),p=y.toNestedArray(o.shape,l.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:C,filterHeight:N,filterWidth:_,dilationHeight:A,dilationWidth:$,outShape:F}=S.computeDilation2DInfo(n.shape,o.shape,i,a,\"NHWC\",u);y.assert(s.rank===F.length,()=>`Error in ${Kd}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let P=y.toNestedArray(F,l.data.get(s.dataId).values),V=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let W=0;W=0&&nt=0&&ftet&&(et=gt,rt=nt,ot=ft)}}}V[W][rt][ot][Z]+=P[W][q][K][Z]}}}return{dataId:l.write(y.toTypedArray(V,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function yl(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"sum\");let a;o.dtype===\"bool\"?a=$o({inputs:{x:o},backend:e,attrs:{dtype:\"int32\"}}):a=Xr({inputs:{x:o},backend:e});let u=a.shape.length,l=y.parseAxisParam(s,a.shape),c=S.getAxesPermutation(l,u),p=l,m=a;c!=null&&(m=Ge({inputs:{x:a},backend:e,attrs:{perm:c}}),p=S.getInnerMostAxes(p.length,u)),S.assertAxesAreInnerMostDims(\"sum\",p,m.shape.length);let[f,d]=S.computeOutAndReduceShapes(m.shape,p),h=S.upcastType(m.dtype,\"int32\"),g=sd(e,f,h),x=y.sizeFromShape(d),b=e.data.get(g.dataId).values,w=e.data.get(m.dataId).values;for(let C=0;C=0&&(m=yl({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var dO={kernelName:wp,backendName:\"cpu\",kernelFunc:hQ};function gQ(r){let{inputs:t,backend:e}=r,{dy:n,y:o}=t;tt([n,o],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(n.dataId).values;for(let u=0;u=1?s[u]=a[u]:s[u]=a[u]*(l+1)}return e.makeTensorInfo(o.shape,\"float32\",s)}var hO={kernelName:Cp,backendName:\"cpu\",kernelFunc:gQ};var xQ=S.ERF_P,yQ=S.ERF_A1,bQ=S.ERF_A2,wQ=S.ERF_A3,CQ=S.ERF_A4,IQ=S.ERF_A5,vQ=Et(wa,r=>{let t=Math.sign(r),e=Math.abs(r),n=1/(1+xQ*e);return t*(1-((((IQ*n+CQ)*n+wQ)*n+bQ)*n+yQ)*n*Math.exp(-e*e))}),gO={kernelName:wa,backendName:\"cpu\",kernelFunc:vQ};function md(r){let{inputs:t,backend:e,attrs:n}=r,{input:o}=t,{dim:s}=n,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),Zt({inputs:{x:o},backend:e,attrs:{shape:a}})}var xO={kernelName:pi,backendName:\"cpu\",kernelFunc:md};var SQ=Qt((r,t)=>r/t),Hh=ie(Jo,SQ),qh={kernelName:Jo,backendName:\"cpu\",kernelFunc:Hh};function hw(r,t,e){let n=r.shape,o=n[0],s=n[1],i=e.data.get(r.dataId),a=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,l=[o,s],c=y.sizeFromShape(l),p=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:n}=r,o=e,s=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[i,a,u,l]=n.shape,c=o.data.get(n.dataId).values;for(let m=0;m=0&&wMath.floor(r/t)),$Q=ie(rs,AQ,null,\"int32\"),CO={kernelName:rs,backendName:\"cpu\",kernelFunc:$Q};function DQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=yT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;if(c===\"NCHW\"&&i.shape.length===1&&i.shape[0]!==1){let x=Zt({inputs:{x:i},backend:e,attrs:{shape:[i.shape[0],1,1]}});h=Yi({inputs:{a:h,b:x},backend:e}),e.disposeIntermediateTensorInfo(x)}else h=Yi({inputs:{a:h,b:i},backend:e});e.disposeIntermediateTensorInfo(g)}if(f){let g=h;if(c===\"NCHW\"&&f===\"prelu\"&&a.shape.length===1&&a.shape[0]!==1){let x=Zt({inputs:{x:a},backend:e,attrs:{shape:[a.shape[0],1,1]}});h=Lc(e,h,f,x,d),e.disposeIntermediateTensorInfo(x)}else h=Lc(e,h,f,a,d);e.disposeIntermediateTensorInfo(g)}return h}var IO={kernelName:Si,backendName:\"cpu\",kernelFunc:DQ};function RQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=bT({inputs:{x:o,filter:s},backend:e,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m}});if(i){let g=h;h=Yi({inputs:{a:h,b:i},backend:e}),e.disposeIntermediateTensorInfo(g)}if(f){let g=h;h=Lc(e,h,f,a,d),e.disposeIntermediateTensorInfo(g)}return h}var vO={kernelName:Ni,backendName:\"cpu\",kernelFunc:RQ};function FQ(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=y.sizeFromShape(n.shape),i=o.shape,a=i[i.length-1],[u,l,c,p]=S.prepareAndValidate(n,o);if(l===0)return e.makeTensorInfo(u,n.dtype,[]);let m=e.data.get(o.dataId).values,f=e.bufferSync(n),d=Qb(m,f,n.dtype,l,a,c,p,n.shape,s);return e.makeTensorInfo(u,n.dtype,d.values)}var SO={kernelName:Sa,backendName:\"cpu\",kernelFunc:FQ};function OQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n;tt([o,s],\"gatherV2\");let u=y.parseAxisParam(i,o.shape)[0],l=e.data.get(s.dataId).values,c=o.shape[u];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${c-1}]`)}let p=a;a==null&&(p=0);let m=y.sizeFromShape(s.shape),f=S.segment_util.collectGatherOpShapeInfo(o,s,u,p),d=Zt({inputs:{x:o},backend:e,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),h=Zt({inputs:{x:s},backend:e,attrs:{shape:[f.batchSize,m/f.batchSize]}}),g=[f.batchSize,f.outerSize,m/f.batchSize,f.sliceSize],x=e.bufferSync(h),b=e.bufferSync(d),w=tw(b,x,g);return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.makeTensorInfo(f.outputShape,w.dtype,w.values)}var NO={kernelName:mi,backendName:\"cpu\",kernelFunc:OQ};function PQ(r){let{inputs:t,backend:e}=r,{input:n}=t,o=y.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=o/s,a=Zt({inputs:{x:n},backend:e,attrs:{shape:[i,s]}}),u=hw(a,!0,e),l=Zt({inputs:{x:u},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(u),l}var TO={kernelName:vp,backendName:\"cpu\",kernelFunc:PQ};var LQ=Et(Ta,r=>Number.isFinite(r)?1:0,\"bool\"),kO={kernelName:Ta,backendName:\"cpu\",kernelFunc:LQ};var MQ=Et(ka,r=>Math.abs(r)===1/0?1:0,\"bool\"),EO={kernelName:ka,backendName:\"cpu\",kernelFunc:MQ};var zQ=Et(ss,r=>Number.isNaN(r)?1:0,\"bool\"),_O={kernelName:ss,backendName:\"cpu\",kernelFunc:zQ};function BQ(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=ew(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var AO={kernelName:Np,backendName:\"cpu\",kernelFunc:BQ};var VQ=Et(Aa,r=>Math.log1p(r)),$O={kernelName:Aa,backendName:\"cpu\",kernelFunc:VQ};var GQ=Qt((r,t)=>r&&t),WQ=ie($a,GQ,null,\"bool\"),DO={kernelName:$a,backendName:\"cpu\",kernelFunc:WQ};var UQ=Et(Da,r=>r?0:1,\"bool\"),RO={kernelName:Da,backendName:\"cpu\",kernelFunc:UQ};var HQ=Qt((r,t)=>r||t),qQ=ie(Ra,HQ,null,\"bool\"),FO={kernelName:Ra,backendName:\"cpu\",kernelFunc:qQ};function KQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n;tt(o,\"LRN\");let l=o.shape[3],c=l-1,p=e.data.get(o.dataId).values,m=y.sizeFromShape(o.shape),f=new Float32Array(m);function d(h){let g=h%l,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let C=p[x];w+=C*C}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u),p;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))p=Xr({inputs:{x:o},backend:e});else{let m=e.data.get(o.dataId).values,f=y.computeStrides(o.shape),d=pd(m,o.shape,o.dtype,f,c,\"max\");p=e.makeTensorInfo(c.outShape,o.dtype,d.values)}return p}var MO={kernelName:cs,backendName:\"cpu\",kernelFunc:XQ};function YQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n;tt(o,\"maxPool3d\");let c=S.computePool3DInfo(o.shape,s,i,1,a,u,l),p=e.data.get(o.dataId).values,m=dw(p,o.shape,o.dtype,y.computeStrides(o.shape),c,\"max\");return e.makeTensorInfo(m.shape,\"float32\",m.values)}var zO={kernelName:Pl,backendName:\"cpu\",kernelFunc:YQ};function ZQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=n;tt([o,s],\"maxPool3DGrad\");let c=S.computePool3DInfo(s.shape,i,a,1,u,l),p=e.bufferSync(s),m=FF(p,c),f=c.strideDepth,d=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,C=c.effectiveFilterHeight,N=c.effectiveFilterWidth,_=w-1-c.padInfo.front,A=N-1-c.padInfo.left,$=C-1-c.padInfo.top,F=bt(s.shape,\"float32\"),P=e.bufferSync(o);for(let V=0;V=c.outDepth||Math.floor(ot)!==ot))for(let at=0;at=c.outHeight||Math.floor(nt)!==nt))for(let st=0;st=c.outWidth||Math.floor(ft)!==ft)continue;let gt=w*C*N-1-m.get(V,ot,nt,ft,G),Ct=rt*C*N+at*N+st,$t=gt===Ct?1:0;if($t===0)continue;let _t=P.get(V,ot,nt,ft,G);et+=_t*$t}}}F.set(et,V,W,q,H,G)}return e.makeTensorInfo(F.shape,F.dtype,F.values)}var BO={kernelName:Ep,backendName:\"cpu\",kernelFunc:ZQ};function JQ(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;tt([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=e.data.get(a.dataId).values,d=bt(m.outShape,a.dtype,fw(f,a.shape,a.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,C=m.effectiveFilterWidth,N=C-1-m.padInfo.left,_=w-1-m.padInfo.top,A=bt(a.shape,\"float32\"),$=e.data.get(o.dataId).values,F=bt(o.shape,\"float32\",$);for(let P=0;P=m.outHeight||Math.floor(Z)!==Z))for(let et=0;et=m.outWidth||Math.floor(rt)!==rt)continue;let ot=w*C-1-d.get(P,Z,rt,V),at=X*C+et,nt=ot===at?1:0;if(nt===0)continue;let st=F.get(P,Z,rt,V);K+=st*nt}}A.set(K,P,G,W,V)}return e.makeTensorInfo(A.shape,A.dtype,A.values)}var VO={kernelName:kp,backendName:\"cpu\",kernelFunc:JQ};function GO(r,t,e,n,o){let s=y.computeStrides(t),i=pd(r,t,e,s,o,\"max\"),a=fw(r,t,e,o,!0,n);return[i.values,a.values]}var WO={kernelName:_p,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;tt(n,\"MaxPoolWithArgmax\");let l=u.data.get(n.dataId).values,c=S.computePool2DInfo(n.shape,o,s,[1,1],i),[p,m]=GO(l,n.shape,n.dtype,a,c),f=u.write(p,c.outShape,n.dtype),d=u.write(m,c.outShape,n.dtype);return[{dataId:f,shape:c.outShape,dtype:n.dtype},{dataId:d,shape:c.outShape,dtype:\"int32\"}]}};function QQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=y.parseAxisParam(s,o.shape),l=S.computeOutAndReduceShapes(o.shape,a)[1],c=y.sizeFromShape(l),p=[],m=e.makeTensorInfo([],\"float32\",new Float32Array([c]));p.push(m);let f=$o({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}});p.push(f);let d=Hh({inputs:{a:f,b:m},backend:e});p.push(d);let h=yl({inputs:{x:d},backend:e,attrs:{axis:s,keepDims:i}});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),h}var UO={kernelName:ps,backendName:\"cpu\",kernelFunc:QQ};function t9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;tt(o,\"min\");let a=y.parseAxisParam(s,o.shape),u=a,l=S.getAxesPermutation(u,o.shape.length),c=o;l!=null&&(c=Ge({inputs:{x:o},backend:e,attrs:{perm:l}}),u=S.getInnerMostAxes(u.length,o.shape.length)),S.assertAxesAreInnerMostDims(\"min\",u,c.shape.length);let[p,m]=S.computeOutAndReduceShapes(c.shape,u),f=y.sizeFromShape(m),d=y.makeZerosTypedArray(y.sizeFromShape(p),c.dtype),h=e.data.get(c.dataId).values;for(let x=0;xw[0]+o.shape[C]+w[1]),u=s.map(w=>w[0]),l=s.map((w,C)=>w[0]+o.shape[C]),c=i===\"reflect\"?0:1,p=e.data.get(o.dataId).values,m=o.shape.length,f=y.computeStrides(o.shape),d=y.sizeFromShape(a),h=a.length,g=y.computeStrides(a),x=y.getTypedArrayFromDType(o.dtype,d);for(let w=0;w=l[_]&&(C[_]=(l[_]-1)*2-C[_]+c);C=C.map((_,A)=>_-u[A]);let N=y.locToIndex(C,m,f);x[w]=p[N]}return{dataId:e.write(x,a,o.dtype),shape:a,dtype:o.dtype}}var qO={kernelName:ds,backendName:\"cpu\",kernelFunc:e9};var r9=Qt((r,t)=>{let e=r%t;return r<0&&t<0||r>=0&&t>=0?e:(e+t)%t}),n9=ie(Fa,r9),KO={kernelName:Fa,backendName:\"cpu\",kernelFunc:n9};var XO=El(ch());function IT(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=o.shape.length,a=s;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);let u=y.parseAxisParam([a],o.shape),l=CT({inputs:{x:o},backend:e,attrs:{reductionIndices:u,keepDims:!1}}),c=S.expandShapeToKeepDim(l.shape,u),p=Zt({inputs:{x:l},backend:e,attrs:{shape:c}}),m=Wh({inputs:{a:o,b:p},backend:e}),f=jN({inputs:{x:m},backend:e}),d=yl({inputs:{x:f},backend:e,attrs:{axis:u,keepDims:!1}}),h=Zt({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Hh({inputs:{a:f,b:h},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),g}var jO={kernelName:Rs,backendName:\"cpu\",kernelFunc:IT};function o9(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n;tt(o,\"multinomial\");let u=a?o:IT({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=e.data.get(u.dataId).values,m=[l,s],f=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let d=0;d=0&&p[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=md({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Cu({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var oP={kernelName:hi,backendName:\"cpu\",kernelFunc:vT};function m9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;tt(o,\"pad\");let a=s.map((b,w)=>b[0]+o.shape[w]+b[1]),u=s.map(b=>b[0]),l=e.data.get(o.dataId).values,c=y.sizeFromShape(o.shape),p=o.shape.length,m=y.computeStrides(o.shape),f=y.sizeFromShape(a),d=a.length,h=y.computeStrides(a),g=y.getTypedArrayFromDType(o.dtype,f);i!==0&&g.fill(i);for(let b=0;b_+u[A]),N=y.locToIndex(C,d,h);g[N]=l[b]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}var gw={kernelName:xs,backendName:\"cpu\",kernelFunc:m9};var f9=Qt((r,t)=>Math.pow(r,t)),d9=ie(ys,f9),sP={kernelName:ys,backendName:\"cpu\",kernelFunc:d9};function h9(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.data.get(x.dataId).values),l=o.map(x=>x.shape),c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,[m,f,d]=nw(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var iP={kernelName:$p,backendName:\"cpu\",kernelFunc:h9};function g9(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=ow(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var aP={kernelName:Dp,backendName:\"cpu\",kernelFunc:g9};function x9(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.data.get(o.dataId).values,c=e.data.get(s.dataId).values,p=e.data.get(i.dataId).values,m=a.map(g=>e.data.get(g.dataId).values),f=a.map(g=>g.shape),[d,h]=sw(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var lP={kernelName:Rp,backendName:\"cpu\",kernelFunc:x9};function y9(r){let{backend:t,attrs:e}=r,{start:n,stop:o,dtype:s,step:i}=e,a=Dc(n,o,i,s);return t.makeTensorInfo([a.length],s,a)}var uP={kernelName:Ll,backendName:\"cpu\",kernelFunc:y9};var b9=Et(Cs,r=>1/r),cP={kernelName:Cs,backendName:\"cpu\",kernelFunc:b9};function w9(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n;tt(o,\"resizeBilinear\");let u=y.computeStrides(o.shape),[l,c]=a,[p,m,f,d]=o.shape,h=e.data.get(o.dataId).values,g=new Float32Array(y.sizeFromShape([p,l,c,d])),x=[s&&l>1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=0,C=x[0]/b[0],N=x[1]/b[1];for(let _=0;_1?l-1:l,i&&f>1?c-1:c],g=[i&&m>1?m-1:m,i&&f>1?f-1:f],x=h[0]/g[0],b=h[1]/g[1],w=e.data.get(s.dataId).values,C=0;for(let N=0;N1?m-1:m,s&&c>1?f-1:f],b=[s&&l>1?l-1:l,s&&c>1?c-1:c],w=x[0]/b[0],C=x[1]/b[1],N=0;for(let _=0;_1?c-1:c,i&&d>1?p-1:p],b=[i&&f>1?f-1:f,i&&d>1?d-1:d],w=x[0]/b[0],C=x[1]/b[1],N=1/w,_=1/C,A=Math.ceil(N)*2+2,$=Math.ceil(_)*2+2;for(let F=0;F=f)continue;let nt=P+at*u[1],st=at*w,ft=Math.min(c-1,i?Math.round(st):Math.floor(st));if(V===ft)for(let gt=0;gt<$;gt++){let Ct=gt+Z;if(Ct<0||Ct>=d)continue;let $t=nt+Ct*u[2],_t=Ct*C,Gt=Math.min(p-1,i?Math.round(_t):Math.floor(_t));H===Gt&&(rt+=g[$t+et])}}h[K+et]=rt}}}}return e.makeTensorInfo(o.shape,o.dtype,h)}var dP={kernelName:Op,backendName:\"cpu\",kernelFunc:v9};function S9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n;tt(o,\"reverse\");let i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return Xr({inputs:{x:o},backend:e});let u=new pe(o.shape,o.dtype),l=e.bufferSync(o);for(let c=0;cm[f]=o.shape[f]-1-m[f]),u.set(l.get(...m),...p)}return e.makeTensorInfo(u.shape,u.dtype,u.values)}var hP={kernelName:Ts,backendName:\"cpu\",kernelFunc:S9};var gP={kernelName:ja,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(n.shape)),[l,c,p,m]=n.shape,[f,d]=S.getImageCenter(i,c,p),h=255,g=Math.sin(o),x=Math.cos(o),b=a.data.get(n.dataId).values;for(let C=0;C=0&&q=0&&H{let t=Math.floor(r);return r-t<.5?Math.floor(r):r-t>.5?Math.ceil(r):t%2===0?t:t+1}),xP={kernelName:ks,backendName:\"cpu\",kernelFunc:N9};function T9(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=!0,f=e.bufferSync(o),d=e.bufferSync(s),h=xl(f,d,i,p,l,u,a,c,0,m);return e.makeTensorInfo(i,h.dtype,h.values)}var yP={kernelName:za,backendName:\"cpu\",kernelFunc:T9};function k9(r,t){let e=0,n=r.length,o=0;for(;e1||o.shape.length===1?1:y.sizeFromShape(o.shape.slice(1));for(let d=0;dr>=0?D9*r:$9*(Math.exp(r)-1)),IP={kernelName:Ba,backendName:\"cpu\",kernelFunc:R9};var F9=Et(Ga,r=>r<0?-1:r>0?1:0),vP={kernelName:Ga,backendName:\"cpu\",kernelFunc:F9};var O9=Et(_s,r=>Math.sin(r)),SP={kernelName:_s,backendName:\"cpu\",kernelFunc:O9};var P9=Et(Va,r=>Math.sinh(r)),NP={kernelName:Va,backendName:\"cpu\",kernelFunc:P9};var L9=11920928955078125e-23,TP=Math.log(L9)+2,M9=Et(Wa,r=>{let t=r>-TP,e=rNumber(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var _P={kernelName:Ml,backendName:\"cpu\",kernelFunc:B9};function V9(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=aw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var AP={kernelName:Ua,backendName:\"cpu\",kernelFunc:V9};function G9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=cd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var $P={kernelName:zl,backendName:\"cpu\",kernelFunc:G9};function W9(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=cd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var DP={kernelName:Bl,backendName:\"cpu\",kernelFunc:W9};function U9(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case\"bool\":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"float32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"int32\":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=xl(d,g,a,m,c,l,u,p,x,f);break}case\"string\":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=xl(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var RP={kernelName:Mp,backendName:\"cpu\",kernelFunc:U9};function H9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Fo({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var FP={kernelName:wi,backendName:\"cpu\",kernelFunc:H9};var OP={kernelName:Vl,backendName:\"cpu\",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;tt(e,\"square\");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),PP={kernelName:mo,backendName:\"cpu\",kernelFunc:q9};function K9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;tt(o,\"stridedSlice\");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Zt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=ze.computeOutShape(b,w,C),A=Fo({inputs:{x:o},backend:e,attrs:{begin:b,size:_}});N=Zt({inputs:{x:A},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(A)}else{let _=e.bufferSync(o),A=lw(f,_,C,b);N=e.makeTensorInfo(d,A.dtype,A.values)}return N}var LP={kernelName:Ha,backendName:\"cpu\",kernelFunc:K9};function j9(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Fc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var MP={kernelName:Gl,backendName:\"cpu\",kernelFunc:j9};function X9(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=Oc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var zP={kernelName:Wl,backendName:\"cpu\",kernelFunc:X9};function Y9(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.data.get(s.dataId).values,a=Pc(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var BP={kernelName:Ul,backendName:\"cpu\",kernelFunc:Y9};var Z9=Et(Ps,r=>Math.tan(r)),VP={kernelName:Ps,backendName:\"cpu\",kernelFunc:Z9};var J9=Et(Ls,r=>Math.tanh(r)),GP={kernelName:Ls,backendName:\"cpu\",kernelFunc:J9};function Q9(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;tt(o,\"tile\");let i=uw(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var WP={kernelName:Qn,backendName:\"cpu\",kernelFunc:Q9};function ttt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n;tt(o,\"topk\");let a=e.data.get(o.dataId).values,[u,l]=cw(a,o.shape,o.dtype,s,i);return[e.makeTensorInfo(u.shape,u.dtype,u.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}var UP={kernelName:qa,backendName:\"cpu\",kernelFunc:ttt};function ett(r){let{inputs:t,attrs:e,backend:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=e,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],C=x[2],N=y.computeStrides(g),_=N[0],A=N[1],$=N[2],F=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));F.fill(u);let P=n.data.get(o.dataId).values,V=n.data.get(s.dataId).values;for(let W=0;Wt-1)if(t<=1)e=0;else{let n=2*t;e-=n*Math.trunc(e/n),e>=t&&(e=n-e-1)}return y.clamp(0,e,t-1)}function ntt(r,t){let e=r;if(e<0)if(t<=1)e=0;else{let n=t-1;e+=t*(Math.trunc(-e/n)+1)}else if(e>t-1)if(t<=1)e=0;else{let n=t-1;e-=t*Math.trunc(e/n)}return y.clamp(0,e,t-1)}function ott(r,t){return r}function stt(r,t){return y.clamp(0,r,t-1)}function Xh(r,t,e,n,o,s,i,a,u,l,c){let p=i*n+a*o+u*s+l;return 0<=a&&ae.disposeIntermediateTensorInfo(d)),f}var XP={kernelName:Hl,backendName:\"cpu\",kernelFunc:ctt};var ptt=[CF,DR,IF,vF,LR,SF,NF,TF,kF,EF,_F,AF,$F,DF,RF,OF,PF,LF,MF,wF,zF,BF,VF,GF,PR,MR,WF,RR,UF,qF,KF,jF,XF,YF,ZF,JF,QF,tO,eO,rO,nO,oO,sO,iO,aO,lO,uO,cO,pO,mO,dO,dF,hO,zR,gO,BR,xO,VR,yO,bO,wO,GR,CO,IO,vO,SO,NO,WR,UR,FR,TO,HF,kO,EO,_O,hF,HR,qR,AO,KR,$O,DO,RO,FO,OO,PO,LO,jR,MO,zO,BO,VO,WO,UO,HO,XR,qO,KO,YO,YR,ZR,ZO,JO,QO,JR,tP,nP,oP,gw,sP,gF,tF,iP,aP,lP,uP,OR,qh,cP,xF,yF,bF,pP,mP,fP,dP,hP,gP,xP,sF,yP,wP,CP,IP,aF,vP,SP,NP,lF,jO,kP,EP,_P,AP,$P,DP,RP,FP,cF,OP,pF,PP,LP,MP,zP,BP,mF,fO,VP,GP,WP,UP,qP,QR,KP,jP,XP,eP];for(let r of ptt)Fu(r);var gd={};Ut(gd,{assertNotComplex:()=>ti,bindCanvasToFramebuffer:()=>wtt,bindColorTextureToFramebuffer:()=>Qh,bindTextureToProgramUniformSampler:()=>zT,bindTextureUnit:()=>QP,bindVertexBufferToProgramAttribute:()=>Iw,callAndCheck:()=>ht,canBeRepresented:()=>kT,createFragmentShader:()=>_T,createFramebuffer:()=>PT,createProgram:()=>AT,createStaticIndexBuffer:()=>RT,createStaticVertexBuffer:()=>DT,createTexture:()=>FT,createVertexShader:()=>ET,getBatchDim:()=>wl,getExtensionOrThrow:()=>fd,getFramebufferErrorMessage:()=>tL,getMaxTexturesInShader:()=>GT,getNumChannels:()=>ytt,getProgramUniformLocation:()=>MT,getProgramUniformLocationOrThrow:()=>LT,getRowsCols:()=>Cl,getShapeAs3D:()=>hd,getTextureShapeFromLogicalShape:()=>BT,getWebGLDisjointQueryTimerVersion:()=>WT,getWebGLErrorMessage:()=>JP,getWebGLMaxTextureSize:()=>VT,hasExtension:()=>Un,isCapableOfRenderingToFloatTexture:()=>UT,isDownloadFloatTextureEnabled:()=>HT,isReshapeFree:()=>vu,isWebGLFenceEnabled:()=>qT,isWebGLVersionEnabled:()=>Sw,linkProgram:()=>$T,logShaderSourceAndInfoLog:()=>Cw,resetMaxTextureSize:()=>Ctt,resetMaxTexturesInShader:()=>Itt,unbindColorTextureFromFramebuffer:()=>vw,unbindTextureUnit:()=>btt,validateFramebuffer:()=>dd,validateProgram:()=>Jh,validateTextureSize:()=>OT});var Mc={},xw={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function ST(r,t){Mc[r]=t}function Wn(r,t){if(!(r in Mc)||t!=null){let n=ftt(r,t);if(n!==null)Mc[r]=n;else return console.log(\"Could not get context for WebGL version\",r),null}let e=Mc[r];return e==null||e.isContextLost()?(delete Mc[r],Wn(r)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Mc[r])}function mtt(r){if(typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function ftt(r,t){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let e=t==null?mtt(r):t;return e.addEventListener(\"webglcontextlost\",n=>{n.preventDefault(),delete Mc[r]},!1),M().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(xw.failIfMajorPerformanceCaveat=!1),r===1?e.getContext(\"webgl\",xw)||e.getContext(\"experimental-webgl\",xw):e.getContext(\"webgl2\",xw)}var Iu;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(Iu||(Iu={}));var Yr;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(Yr||(Yr={}));var Lr;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(Lr||(Lr={}));function zc(r,t){return[t,r]}function YP(r,t){return r*t}function Yh(r){let t=y.sizeFromShape(r),e=Math.ceil(t/4);return y.sizeToSquarishShape(e)}function Ji(r,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(r/2))]}function ZP(r,t){let[e,n]=Ji(r,t);return e*n*4}function Zh(r,t){let e=r,n,o,s,i,a,u,l,c,p,m;return M().getNumber(\"WEBGL_VERSION\")===2?(n=e.R32F,o=e.R16F,s=e.RGBA16F,i=e.RGBA32F,a=e.RED,l=4,c=1,p=e.HALF_FLOAT,m=e.FLOAT,u=e.RGBA8):(n=r.RGBA,o=r.RGBA,s=r.RGBA,i=e.RGBA,a=r.RGBA,l=4,c=4,p=t!=null?t.HALF_FLOAT_OES:null,m=r.FLOAT,u=r.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:o,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:a,downloadTextureFormat:u,downloadUnpackNumChannels:l,defaultNumChannels:c,textureTypeHalfFloat:p,textureTypeFloat:m}}function ht(r,t){let e=t();return M().getBool(\"DEBUG\")&&dtt(r),e}function dtt(r){let t=r.getError();if(t!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+JP(r,t))}var htt=596e-10,gtt=65504;function kT(r){return!!(M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||httr.getExtension(t),'Extension \"'+t+'\" not supported on this browser.')}function ET(r,t){let e=bl(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(ht(r,()=>r.shaderSource(e,t)),ht(r,()=>r.compileShader(e)),r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(e)),new Error(\"Failed to compile vertex shader.\");return e}function _T(r,t){let e=bl(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(ht(r,()=>r.shaderSource(e,t)),ht(r,()=>r.compileShader(e)),M().get(\"ENGINE_COMPILE_ONLY\"))return e;if(r.getShaderParameter(e,r.COMPILE_STATUS)===!1)throw Cw(t,r.getShaderInfoLog(e)),new Error(\"Failed to compile fragment shader.\");return e}var xtt=/ERROR: [0-9]+:([0-9]+):/g;function Cw(r,t){let e=xtt.exec(t);if(e==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(r);return}let n=+e[1],o=r.split(`\n`),s=o.length.toString().length+2,i=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;pr.createProgram(),\"Unable to create WebGLProgram.\")}function $T(r,t){if(ht(r,()=>r.linkProgram(t)),!M().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function Jh(r,t){if(ht(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function DT(r,t){let e=bl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),ht(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function RT(r,t){let e=bl(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ht(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),ht(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function ytt(){return M().getNumber(\"WEBGL_VERSION\")===2?1:4}function FT(r){return bl(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function OT(r,t){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||t<=0){let n=`[${r}x${t}]`;throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(r>e||t>e){let n=`[${r}x${t}]`,o=`[${e}x${e}]`;throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+o+\".\")}}function PT(r){return bl(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function Iw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),ht(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),ht(r,()=>r.enableVertexAttribArray(a)),!0)}function QP(r,t,e){eL(r,e),ht(r,()=>r.activeTexture(r.TEXTURE0+e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function btt(r,t){eL(r,t),ht(r,()=>r.activeTexture(r.TEXTURE0+t)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function LT(r,t,e){return bl(r,()=>r.getUniformLocation(t,e),'uniform \"'+e+'\" not present in program.')}function MT(r,t,e){return r.getUniformLocation(t,e)}function zT(r,t,e,n){ht(r,()=>QP(r,t,n)),ht(r,()=>r.uniform1i(e,n))}function wtt(r){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),ht(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),ht(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Qh(r,t,e){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),ht(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function vw(r,t){ht(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),ht(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function dd(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+tL(r,t))}function tL(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${t}`}}function bl(r,t,e){let n=ht(r,()=>t());if(n==null)throw new Error(e);return n}function eL(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(ne){let o=`[gl.TEXTURE0, gl.TEXTURE${e}]`;throw new Error(`textureUnit must be in ${o}.`)}}function wl(r,t=2){return y.sizeFromShape(r.slice(0,r.length-t))}function Cl(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function hd(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[wl(r),...Cl(r)]),t}function BT(r,t=!1){let e=M().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),n=M().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");n===1/0&&M().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(n=e/2),t&&(e=e*2,n=n*2,r=r.map((a,u)=>u>=r.length-2?y.nearestLargerEven(r[u]):r[u]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let o=y.sizeFromShape(r),s=null;r.length<=1&&o<=e?s=[1,o]:r.length===2&&r[0]<=e&&r[1]<=e?s=r:r.length===3&&r[0]*r[1]<=e&&r[2]<=e?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=e&&r[1]*r[2]<=e?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=e&&r[3]<=e?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=e&&r[1]*r[2]*r[3]<=e&&(s=[r[0],r[1]*r[2]*r[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let a=wl(r),u=2,l=2;r.length&&([u,l]=Cl(r)),o=a*(u/2)*(l/2),s=y.sizeToSquarishShape(o).map(c=>c*2)}else s=y.sizeToSquarishShape(o);return s}function yw(r){return r%2===0}function vu(r,t){if(r=r.slice(-2),t=t.slice(-2),y.arraysEqual(r,t)||!r.length||!t.length||r[0]===0||r[1]===0||t[0]===0||t[1]===0)return!0;if(r.length!==t.length){let e=r.slice(-1)[0],n=t.slice(-1)[0];if(e===n||yw(e)&&yw(n)&&(r[0]===1||t[0]===1))return!0}return r[1]===t[1]&&yw(r[0])&&yw(t[0])}var bw,ww;function VT(r){if(bw==null){let t=Wn(r);bw=t.getParameter(t.MAX_TEXTURE_SIZE)}return bw}function Ctt(){bw=null}function Itt(){ww=null}function GT(r){if(ww==null){let t=Wn(r);ww=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,ww)}function WT(r){if(r===0)return 0;let t,e=Wn(r);return Un(e,\"EXT_disjoint_timer_query_webgl2\")&&r===2?t=2:Un(e,\"EXT_disjoint_timer_query\")?t=1:t=0,t}function Un(r,t){return r.getExtension(t)!=null}function Sw(r){try{if(Wn(r)!=null)return!0}catch(t){return console.log(\"Error when getting WebGL context: \",t),!1}return!1}function UT(r){if(r===0)return!1;let t=Wn(r);if(r===1){if(!Un(t,\"OES_texture_float\"))return!1}else if(!Un(t,\"EXT_color_buffer_float\"))return!1;return TT(t)}function HT(r){if(r===0)return!1;let t=Wn(r);if(r===1){if(!Un(t,\"OES_texture_float\")||!Un(t,\"WEBGL_color_buffer_float\"))return!1}else{if(Un(t,\"EXT_color_buffer_float\"))return TT(t);let n=\"EXT_color_buffer_half_float\";if(Un(t,n)){let o=t.getExtension(n);return vtt(t,o)}return!1}return TT(t)}function TT(r){let t=Zh(r),e=r.createTexture();r.bindTexture(r.TEXTURE_2D,e);let n=1,o=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatFloat,n,o,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(e),r.deleteFramebuffer(s),i}function vtt(r,t){let e=Zh(r,t),n=r.createTexture();r.bindTexture(r.TEXTURE_2D,n);let o=1,s=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatHalfFloat,o,s,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);let i=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,i),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,n,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(n),r.deleteFramebuffer(i),a}function qT(r){return r!==2?!1:Wn(r).fenceSync!=null}function ti(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!==\"complex64\",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Tt=M();Tt.registerFlag(\"HAS_WEBGL\",()=>Tt.getNumber(\"WEBGL_VERSION\")>0);Tt.registerFlag(\"WEBGL_VERSION\",()=>Sw(2)?2:Sw(1)?1:0);Tt.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Tt.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Tt.get(\"WEBGL_VERSION\")===2);Tt.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Tt.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Tt.registerFlag(\"WEBGL_PACK\",()=>Tt.getBool(\"HAS_WEBGL\"));Tt.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_CLIP\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Tt.getBool(\"WEBGL_PACK\"));Tt.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>VT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>GT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Tt.getNumber(\"WEBGL_VERSION\");return r===0?0:WT(r)});Tt.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Tt.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!Xl.isMobile());Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>UT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Tt.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Tt.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Tt.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>HT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>qT(Tt.getNumber(\"WEBGL_VERSION\")));Tt.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Tt.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Tt.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Tt.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>Xl.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Tt.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Tt.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Tt.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Tt.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Tt.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Tt.getBool(\"IS_TEST\"));Tt.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Tt.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Tt.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);Tt.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);function We(){let r,t,e,n,o,s,i,a,u,l;return M().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",t=\"in\",e=\"out\",n=\"in\",o=\"texture\",s=\"outputColor\",i=\"out vec4 outputColor;\",a=M().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",u=\"\",l=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",t=\"attribute\",e=\"varying\",n=\"varying\",o=\"texture2D\",s=\"gl_FragColor\",i=\"\",a=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,u=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,l=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function ei(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / ${o}`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${i}; ${a};`}).join(\"\")}function Bc(r,t,e=\"index\"){let n=y.computeStrides(t);return n.map((o,s)=>{let i=`int ${r[s]} = ${e} / outShapeStrides[${s}]`,a=s===n.length-1?`int ${r[s+1]} = ${e} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${i}; ${a};`}).join(\"\")}function Stt(r,t){let e=r.length,n=r.map(s=>`${t}[${s}]`),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]=`(${o[s+1]} * ${n[s+1]})`;return o}function rL(r,t,e=\"index\"){let n=r.map((s,i)=>i),o=Stt(n,t);return o.map((s,i)=>{let a=`int ${r[i]} = ${e} / ${o[i]}`,u=i===o.length-1?`int ${r[i+1]} = ${e} - ${r[i]} * ${o[i]}`:`index -= ${r[i]} * ${o[i]}`;return`${a}; ${u};`}).join(\"\")}function xd(r){let t=y.computeStrides(r).map(e=>e.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;\n }\n`}function yd(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var Nw=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:nL}=S;function oL(r,t,e){let n=[];if(r.forEach(f=>{let d=y.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push(`uniform float ${f.name}${d>1?`[${d}]`:\"\"};`):(n.push(`uniform sampler2D ${f.name};`),n.push(`uniform int offset${f.name};`)),e.enableShapeUniforms){let{uniformShape:h}=Tw(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push(`uniform int ${f.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${f.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${f.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${f.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${f.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push(\"uniform int outShape;\");break;case 2:n.push(\"uniform ivec2 outShape;\"),n.push(\"uniform int outShapeStrides;\");break;case 3:n.push(\"uniform ivec3 outShape;\"),n.push(\"uniform ivec2 outShapeStrides;\");break;case 4:n.push(\"uniform ivec4 outShape;\"),n.push(\"uniform ivec3 outShapeStrides;\");break;default:break}n.push(\"uniform ivec2 outTexShape;\")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push(`uniform ${f.type} ${f.name}${f.arrayIndex?`[${f.arrayIndex}]`:\"\"};`)});let o=n.join(`\n`),s=r.map(f=>Ntt(f,t,e.packedInputs,e.enableShapeUniforms)).join(`\n`),i=t.texShape,a=We(),u=Ett(a),l,c,p=$tt(a);return t.isPacked?(l=Ttt(t.logicalShape,i,e.enableShapeUniforms),c=Att(a)):(l=ktt(t.logicalShape,i,e.enableShapeUniforms),c=_tt(a)),e.packedInputs&&(p+=Ott),[p,u,c,o,l,s,e.userCode].join(`\n`)}function wd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Ktt(r,t);case 1:return Xtt(r,t);case 2:return Ztt(r,t);case 3:return Qtt(r,t);case 4:return eet(r,t);case 5:return ret(r);case 6:return net(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function sL(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return qtt(r);case 1:return jtt(r,t);case 2:return Ytt(r,t);case 3:return Jtt(r,t);default:return tet(r,t)}}function Ntt(r,t,e=!1,n){let o=\"\";e?o+=sL(r,n):o+=wd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=oet(r,t):o+=set(r,t)),o}function Ttt(r,t,e){switch(r.length){case 0:return iL();case 1:return Ptt(r,t,e);case 2:return Utt(r,t,e);case 3:return Mtt(r,t,e);default:return Btt(r,t,e)}}function ktt(r,t,e){switch(r.length){case 0:return iL();case 1:return Ltt(r,t,e);case 2:return Htt(r,t,e);case 3:return ztt(r,t,e);case 4:return Vtt(r,t,e);case 5:return Gtt(r,t);case 6:return Wtt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function Ett(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function _tt(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function Att(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function $tt(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${Dtt}\n ${Rtt}\n ${Ftt}\n `}var Dtt=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Rtt=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ftt=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,Ott=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function iL(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function Ptt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `:n[1]===1?e?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}function Ltt(r,t,e){return t[0]===1?e?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${t[1]}.0);\n }\n `:t[1]===1?e?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${t[0]}.0);\n }\n `:e?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n return resTexRC.x * ${t[1]} + resTexRC.y;\n }\n `}function Mtt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${o});\n int c = imod(index, ${o}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function ztt(r,t,e){if(e)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${Bc([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let n=ei([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${t[0]}, ${t[1]}));\n int index = resTexRC.x * ${t[1]} + resTexRC.y;\n ${n}\n return ivec3(r, c, d);\n }\n `}function Btt(r,t,e){if(e)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a=\"\",u=\"b, r, c\";for(let l=2;l=1?c=\"coords = 0;\":c=a.map(b=>`coords.${p[b+l]} = 0;`).join(`\n`);let m=\"\";i<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${p[w+l]}`).join(\", \");let f=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)i===1?f=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:f=`\n return vec4(outputValue.x);\n `;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f=\"return vec4(outputValue.x);\":a.indexOf(b)>-1?f=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":a.indexOf(w)>-1&&(f=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${o}() {\n ${u} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${n}(${m});\n ${f}\n }\n `}function set(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o=\"get\"+n+\"AtOutCoords\",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&y.arraysEqual(i,s))return`\n float ${o}() {\n return sampleTexture(${e}, resultUV);\n }\n `;let l=Vt(u),c=nL(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];a===0?m=\"\":u<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(`\n`);let d=\"\";return u<2&&a>0?d=\"coords\":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(\", \"),`\n float ${o}() {\n ${l} coords = getOutputCoords();\n ${m}\n return get${n}(${d});\n }\n `}function Vt(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Tw(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.lengthr[e]).join(\", \")}function lL(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=oL(o,i,t),u=_T(r.gl,a),l=r.createProgram(u);return M().get(\"ENGINE_COMPILE_ONLY\")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},KT(r,t,l))}function KT(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,\"NAN\",!1),M().getNumber(\"WEBGL_VERSION\")===1&&(c=r.getUniformLocation(e,\"INFINITY\",!1));let m=!1;for(let f=0;f{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function aL(r,t){if(r.length!==t.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${t.length} inputs`);r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!y.arraysEqual(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function uL(r,t,e,n,o){t.program.enableShapeUniforms||(aL(t.inShapeInfos,e),aL([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),M().getNumber(\"WEBGL_VERSION\")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=Tw(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.shape));break;case 3:r.gl.uniform3iv(a,new Int32Array(n.shape));break;case 4:r.gl.uniform4iv(a,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let u=y.computeStrides(n.shape);switch(n.shape.length){case 2:r.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:r.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:r.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u));break;default:break}}t.outTexShapeLocation&&r.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&o&&t.program.customUniforms.forEach((u,l)=>{let c=t.customUniformLocations[l],p=o[l];if(u.type===\"float\")r.gl.uniform1fv(c,p);else if(u.type===\"vec2\")r.gl.uniform2fv(c,p);else if(u.type===\"vec3\")r.gl.uniform3fv(c,p);else if(u.type===\"vec4\")r.gl.uniform4fv(c,p);else if(u.type===\"int\")r.gl.uniform1iv(c,p);else if(u.type===\"ivec2\")r.gl.uniform2iv(c,p);else if(u.type===\"ivec3\")r.gl.uniform3iv(c,p);else if(u.type===\"ivec4\")r.gl.uniform4iv(c,p);else throw Error(`uniform type ${u.type} is not supported yet.`)}),r.executeProgram()}function cL(r,t,e){let n=\"\";t.concat(e).forEach(i=>{let a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!i.isUniform){let u=i.texData.texShape,{useSqueezeShape:l,uniformShape:c,keptDims:p}=Tw(r.packedInputs,i.shape,u),m=\"\",f=\"\",d=\"\";if(c.length===1&&r.packedInputs){let N=[Math.ceil(u[0]/2),Math.ceil(u[1]/2)];m=`${N[0]>1}_${N[1]>1}`}else if(c.length===2&&!r.packedInputs)f=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let N=y.computeStrides(c);d=`${N[0]===u[1]}_${N[N.length-1]===u[1]}`}let h=i.shape.length,g=c.length===2&&y.arraysEqual(i.shape,u),x=y.sizeFromShape(i.shape)===1,b=S.getBroadcastDims(i.shape,e.shape),w=!r.packedInputs&&h===e.shape.length&&y.arraysEqual(u,e.texData.texShape),C=r.packedInputs||c.length>2?\"\":`${u[0]>1}_${u[1]>1}`;n+=`${h}_${w}_${l?p:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${f}_${d}_${C}_${a}`}else{let u=i.isUniform?\"uniform\":i.texData.texShape;n+=`${i.shape}_${u}_${a}`}});let o=r.userCode,s=r.constructor.name;return s+=\"_\"+n+\"_\"+o+`${M().getNumber(\"WEBGL_VERSION\")}`,s}function Ce(r){return M().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var kw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Iu.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Bc([\"r\",\"c\",\"d\"],t):ei([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${e.output} = result;\n }\n `}};var Ew=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Iu.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let e=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Bc([\"r\",\"c\",\"d\"],t):ei([\"r\",\"c\",\"d\"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${e.output} = result;\n }\n `}};var _w=class{constructor(t){this.variableNames=[\"A\"],this.outTexUsage=Yr.DOWNLOAD;let e=We();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n float x = getAAtOutCoords();\n ${e.output} = encode_float(x);\n }\n `}};var Aw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Yr.DOWNLOAD;let e=We();this.outputShape=t,this.userCode=`\n ${Nw}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${e.output} = encode_float(x);\n }\n `}};var uet={R:0,G:1,B:2,A:3},tg=class{constructor(t,e=!1,n=\"RGBA\"){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let o=We();this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let s=\"result\";e&&(s=\"floor(result * 255. + 0.5)\");let i=\"\";for(let a=0;ark,createBufferFromOutputTexture:()=>sk,createFloat16MatrixTexture:()=>JT,createFloat16PackedMatrixTexture:()=>ek,createFloat32MatrixTexture:()=>ZT,createIndexBuffer:()=>YT,createPackedMatrixTexture:()=>tk,createUnsignedBytesMatrixTexture:()=>QT,createVertexBuffer:()=>XT,createVertexShader:()=>jT,downloadByteEncodedFloatMatrixFromOutputTexture:()=>ak,downloadFloat32MatrixFromBuffer:()=>ik,downloadMatrixFromPackedOutputTexture:()=>uk,downloadPackedMatrixFromBuffer:()=>lk,getInternalFormatForFloat16MatrixTexture:()=>Rw,getInternalFormatForFloat16PackedMatrixTexture:()=>Pw,getInternalFormatForFloat32MatrixTexture:()=>Dw,getInternalFormatForPackedMatrixTexture:()=>Ow,getInternalFormatForUnsignedBytesMatrixTexture:()=>Fw,uploadDenseMatrixToTexture:()=>nk,uploadPixelDataToTexture:()=>ok});function jT(r){let t=We(),e=`${t.version}\n precision highp float;\n ${t.attribute} vec3 clipSpacePos;\n ${t.attribute} vec2 uv;\n ${t.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return ET(r,e)}function XT(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return DT(r,t)}function YT(r){let t=new Uint16Array([0,1,2,2,1,3]);return RT(r,t)}function eg(r,t,e,n,o,s){OT(t,e);let i=FT(r),a=r.TEXTURE_2D;return ht(r,()=>r.bindTexture(a,i)),ht(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),ht(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),ht(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),ht(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),M().getNumber(\"WEBGL_VERSION\")===1?ht(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):ht(r,()=>r.texStorage2D(a,1,n,t,e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Dw(r){return r.internalFormatFloat}function ZT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Dw(n),n.textureFormatFloat,r.FLOAT)}function Rw(r){return r.internalFormatHalfFloat}function JT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Rw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Fw(r){return r.downloadTextureFormat}function QT(r,t,e,n){let[o,s]=zc(t,e);return eg(r,o,s,Fw(n),r.RGBA,r.UNSIGNED_BYTE)}function Ow(r){return r.internalFormatPackedFloat}function tk(r,t,e,n){let[o,s]=Ji(t,e);return eg(r,o,s,Ow(n),r.RGBA,r.FLOAT)}function Pw(r){return r.internalFormatPackedHalfFloat}function ek(r,t,e,n){let[o,s]=Ji(t,e);return eg(r,o,s,Pw(n),r.RGBA,n.textureTypeHalfFloat)}function rk(r,t,e){return ht(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Iw(r,t,\"clipSpacePos\",e,3,20,0)&&Iw(r,t,\"uv\",e,2,20,12)}function nk(r,t,e,n,o,s){ht(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function ok(r,t,e){ht(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):M().getNumber(\"WEBGL_VERSION\")===2?ht(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):ht(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),ht(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function sk(r,t,e,n){let o=r.createBuffer();ht(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return ht(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),ht(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),ht(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function ik(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function ak(r,t,e,n){let[o,s]=zc(t,e),i=4,a=new Uint8Array(YP(t*e,i));return ht(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function lk(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(ZP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function uk(r,t,e){let n=new Float32Array(t*e*4);return ht(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Gc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let e=M().getNumber(\"WEBGL_VERSION\");if(t!=null?(this.gl=t,ST(e,t)):this.gl=Wn(e),t=this.gl,M().getNumber(\"WEBGL_VERSION\")===2){let s=t;this.createVertexArray=()=>ht(s,()=>s.createVertexArray()),this.bindVertexArray=i=>ht(s,()=>s.bindVertexArray(i)),this.deleteVertexArray=i=>ht(s,()=>s.deleteVertexArray(i)),this.getVertexArray=()=>ht(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(t!=null){let s=t.getExtension(\"OES_vertex_array_object\");if(s==null)throw new Error(\"All WebGL1 implementations are expected to offer OES_vertex_array_object.\");this.createVertexArray=()=>ht(t,()=>s.createVertexArrayOES()),this.bindVertexArray=i=>ht(t,()=>s.bindVertexArrayOES(i)),this.deleteVertexArray=i=>ht(t,()=>s.deleteVertexArrayOES(i)),this.getVertexArray=()=>ht(t,()=>t.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let n=\"WEBGL_color_buffer_float\",o=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),M().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",i=\"OES_texture_half_float\";if(this.textureFloatExtension=fd(this.gl,s),Un(this.gl,i))this.textureHalfFloatExtension=fd(this.gl,i);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Un(this.gl,o))this.colorBufferHalfFloatExtension=fd(this.gl,o);else if(M().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(n=\"EXT_color_buffer_float\",Un(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Un(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=XT(this.gl),this.indexBuffer=YT(this.gl),this.framebuffer=PT(this.gl),this.textureConfig=Zh(this.gl,this.textureHalfFloatExtension)}get debug(){return M().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let t=this.gl;ht(t,()=>t.finish()),ht(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),ht(t,()=>t.deleteFramebuffer(this.framebuffer)),ht(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),ht(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),ht(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),ZT(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),JT(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),QT(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),ok(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,o){this.throwIfDisposed(),nk(this.gl,t,e,n,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),ek(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),tk(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(vw(this.gl,this.framebuffer),this.outputTexture=null),ht(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>ak(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,o,s,i){return lk(this.gl,t,e,n,o,s,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return ik(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);let o=sk(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){let t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(M().getBool(\"WEBGL_FENCE_API_ENABLED\")){let o=t,s=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{let i=o.clientWaitSync(s,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=s}else M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>uk(this.gl,e,n))}createProgram(t){this.throwIfDisposed();let e=this.gl;this.vertexShader==null&&(this.vertexShader=jT(e));let n=AT(e);ht(e,()=>e.attachShader(n,this.vertexShader)),ht(e,()=>e.attachShader(n,t)),$T(e,n);let o;return o=Object.assign(n,{vao:this.createVertexArray()}),this.bindVertexArray(o.vao),ht(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),console.assert(rk(e,o,this.vertexBuffer),\"gpgpu_util.bindVertexProgramAttributeStreams not fully successful.\"),this.debug&&Jh(e,o),this.setProgram(o),o}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&(ht(this.gl,()=>this.gl.deleteProgram(t)),this.deleteVertexArray(t.vao))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&(this.bindVertexArray(this.program.vao),this.debug&&Jh(this.gl,this.program)),ht(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?LT(this.gl,t,e):MT(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),ht(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),zT(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();let[o,s]=Ji(e,n);this.setOutputMatrixTextureDriver(t,o,s)}setOutputMatrixWriteRegion(t,e,n,o){this.setOutputMatrixWriteRegionDriver(n,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,n,o){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&Jh(this.gl,this.program),dd(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let t=this.gl;if(this.debug){let e=this.getVertexArray();console.assert(e===this.program.vao,\"VAO changed between setProgram and executeProgram!\"),this.debugValidate()}ht(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ht(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=fd(this.gl,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.createQuery();return n.beginQuery(o.TIME_ELAPSED_EXT,s),s}let t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT);return}let t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(t,M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(t,e){if(e===0)return null;if(e===2){let n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}else{let n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(t,n.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){let n=this.gl,o=this.getQueryTimerExtensionWebGL2(),s=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let n=this.getQueryTimerExtensionWebGL1(),o=n.getQueryObjectEXT(t,n.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){let t=cet(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){let{resolveFn:n}=this.itemsToPoll[e];n()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let n;\"setTimeoutCustom\"in M().platform&&(n=M().platform.setTimeoutCustom.bind(M().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,n)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),Qh(this.gl,t,this.framebuffer),this.debug&&dd(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Qh(this.gl,this.outputTexture,this.framebuffer),this.debug&&dd(this.gl)):vw(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);let n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();let o=this.gl;Qh(o,t,this.framebuffer),this.debug&&dd(o),this.outputTexture=t,ht(o,()=>o.viewport(0,0,e,n)),ht(o,()=>o.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,o){this.throwIfDisposed(),ht(this.gl,()=>this.gl.scissor(t,e,n,o))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function cet(r){let t=0;for(;t`${r}.${e}`)}function er(r,t){return t===1?[r]:pk(r,t)}function tM(r,t){if(r===1)return\"rc\";let e=\"\";for(let n=0;n ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let e=\"\";for(let n=this.rank-2;n= ${this.enableShapeUniforms?`outShape[${n}]`:this.outputShape[n]}`,n= ${n};\n bool rEdge = rp1 >= ${o};\n `}getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}),\n cEdge ? 0. : getA(${e[1]}),\n rEdge ? 0. : getA(${e[2]}),\n rEdge || cEdge ? 0. : getA(${e[3]})`}};var Sd=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let n=\"\";for(let o=0;o<4;o++){let s=\"thisRC = rc;\";o%2===1&&(s+=\"thisRC.z += 1;\"),o>1&&(s+=\"thisRC.y += 1;\"),n+=`\n ${s}\n ${o>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${o}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${o>0?\"}\":\"\"}\n `}this.userCode=`\n ${pet(e,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?yd():xd(t)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":t[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":t[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}};function pet(r,t){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${t?rL([\"r\",\"c\",\"d\"],\"inputShape\"):ei([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var Vw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=rM(e,n),s=nM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=eM(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Lr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Lr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Lr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Lr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Lr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=rM(n,o),i=nM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=eM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=M().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);let e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function met(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function eM(r,t,e,n,o){let s=fet(t,n),i;if(o){let[u,l]=Ji(r[0],r[1]);i=u*l}else{let[u,l]=zc(r[0],r[1]);i=u*l}let a=met(e,s);return i*a}function fet(r,t){switch(r){case Lr.PACKED_2X2_FLOAT32:return Ow(t);case Lr.PACKED_2X2_FLOAT16:return Pw(t);case Lr.UNPACKED_FLOAT32:return Dw(t);case Lr.UNPACKED_FLOAT16:return Rw(t);case Lr.PACKED_4X1_UNSIGNED_BYTE:return Fw(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function det(r){return M().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?Lr.PACKED_2X2_FLOAT32:Lr.UNPACKED_FLOAT32:r?Lr.PACKED_2X2_FLOAT16:Lr.UNPACKED_FLOAT16}function rM(r,t){if(r===Yr.UPLOAD)return Lr.PACKED_2X2_FLOAT32;if(r===Yr.RENDER||r==null)return det(t);if(r===Yr.DOWNLOAD||r===Yr.PIXELS)return Lr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function nM(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var Mr=class{constructor(t,e){this.variableNames=[\"A\"],this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${e}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},xr=\"if (isnan(x)) return x;\",oM=\"return x;\",mk=\"return abs(x);\";var sM=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",iM=xr+`\n return (x < 0.0) ? 0.0 : x;\n`,aM=xr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Qi=\"return x;\",lM=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var cM=\"return x;\",pM=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,mM=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,fM=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,dM=\"return 1.0 / (1.0 + exp(-1.0 * x));\",_n=class{constructor(t,e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${e}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var Gw=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=Ce(this.outputShape.length);let e=t.length,n=er(\"rc\",e),o=Vt(e),s=tM(e,n),i=n.slice(-2),a=e<=1?\"rc\":`vec2(${i.join(\",\")})`;this.userCode=`\n void main() {\n ${o} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${a}));\n }\n `}};var get=qr.whereImpl,xet=1e-7,yet=1e-4,Ww={};function bet(r){return r in Ww||(Ww[r]={}),Ww[r]}var wet=M().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),Cet=600;function Iet(){return M().global.screen==null?1024:M().global.screen.height*M().global.screen.width*window.devicePixelRatio*Cet/1024/1024}var Su=class extends zo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!M().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let e;if(t!=null){if(t instanceof Gc)e=t;else{let n=Wn(M().getNumber(\"WEBGL_VERSION\"),t);e=new Gc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Wn(M().getNumber(\"WEBGL_VERSION\"));e=new Gc(n),this.binaryCache=bet(M().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Vw(this.gpgpu),this.numMBBeforeWarning=Iet(),this.texData=new ia(this,Ln())}nextDataId(){return Su.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,e,n,o,s,i){let a=this.makeTensorInfo(e,n),u=this.texData.get(a.dataId);u.isPacked=!1,u.texture={texture:t,texShape:[o,s]},u.texShape=[o,s];let l=hd(e),c=new tg(l,!1,i),p=this.runWebGLProgram(c,[a],n,[[o,s]]);return p.shape=e,u.texture=null,this.disposeIntermediateTensorInfo(a),p.dataId}write(t,e,n){if((M().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||M().getBool(\"DEBUG\"))&&this.checkNumericalProblems(t),n===\"complex64\"&&t!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Yr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(M().getBool(\"DEBUG\")&&this.checkNumericalProblems(e),o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Yr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new _n(a,Qi):m=new Mr(a,Qi);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o===\"string\")return n;let l=this.activeTimers!=null,c;l&&(c=y.now());let p;if(o===\"complex64\"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new _n(o,Qi):d=new Mr(o,Qi);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(M().getBool(\"DEBUG\")&&!M().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&M().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let l=null,c;if(i!==\"complex64\"&&M().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...Yh(o))}this.pendingRead.set(t,[]),i!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let p;if(i===\"complex64\"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;ht(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t),f.forEach(d=>d(m)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Ln().removeDataId(t,this),this.pendingDeletes--),m}readToGPU(t,e={}){let n=this.texData.get(t),{values:o,shape:s,slice:i,dtype:a,isPacked:u,texture:l}=n;if(a===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(i!=null){let f;u?f=new _n(s,Qi):f=new Mr(s,Qi);let d=this.runWebGLProgram(f,[{dataId:t,shape:s,dtype:a}],a),h=this.readToGPU(d,e);return this.disposeIntermediateTensorInfo(d),h}if(l==null)throw o!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(t,e.customTexShape),p=Ln().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:p},m.texture)}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype===\"string\")try{let n=e.map(o=>y.decodeString(o));return bt(t.shape,t.dtype,n)}catch(n){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return bt(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){let e=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),i=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=e,o&&(this.programTimersStack=null);let a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let u=await Promise.all(s);a.kernelMs=y.sum(u),a.getExtraProfileInfo=()=>u.map((l,c)=>({name:i[c],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(\", \")}else a.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(t){return M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),t):(t.endMs=y.now(),t)}async getQueryTime(t){if(M().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(t);let e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);let{complexTensorInfos:n}=this.texData.get(t);return n!=null&&(this.disposeData(n.real.dataId,e),this.disposeData(n.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){let{texture:e,dtype:n,texShape:o,usage:s,isPacked:i,slice:a}=this.texData.get(t),u=a&&a.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(e,o,s,i)));let c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=wet){return M().getBool(\"WEBGL_CPU_FORWARD\")&&t.every(n=>this.texData.get(n.dataId).texture==null&&y.sizeFromShape(n.shape)0&&y.isString(n[0])){let s=n.map(i=>y.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,n){return Ln().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,n),this)}unpackTensor(t){let e=new Gw(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){let e=new Bw(t.shape),n=!0;return this.runWebGLProgram(e,[t],t.dtype,null,n)}packedReshape(t,e){let n=[wl(t.shape),...Cl(t.shape)],o={dtype:t.dtype,shape:n,dataId:t.dataId},s=[wl(e),...Cl(e)],i=new Sd(s,n),a=!0,u=[n],l=this.runWebGLProgram(i,[o],t.dtype,u,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){let n=this.texData.get(t),{isPacked:o,shape:s,dtype:i}=n;if(e!=null){let m=y.sizeFromShape(s),f=e[0]*e[1]*4;y.assert(m<=f,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let a=hd(s),u;o?u=new Ew(a):u=new kw(a);let l=!0,c=[e!=null?e:Yh(a)],p=this.runWebGLProgram(u,[{shape:a,dtype:i,dataId:t}],i,c,l,e);return{dtype:i,shape:s,dataId:p.dataId}}runWebGLProgram(t,e,n,o,s=!1,i){let a=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(a.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Iu.DENSE){let x=i!=null?i:Yh(t.outputShape);u.texShape=x.map(b=>b*2)}if(t.outTexUsage!=null&&(u.usage=t.outTexUsage),y.sizeFromShape(a.shape)===0)return u.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],c=e.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!t.packedInputs&&y.sizeFromShape(x.shape)<=M().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};t.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!t.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),l.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!vu(b.shape,x.shape)){let w=x,C=x.shape;x.shape=b.shape,x=this.packedReshape(x,C),l.push(x),b=this.texData.get(x.dataId),w.shape=C}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(a.dataId);let p={shape:a.shape,texData:u,isUniform:!1},m=cL(t,c,p),f=this.getAndSaveBinary(m,()=>lL(this.gpgpu,t,c,p)),d=this.activeTimers!=null,h;d&&(h=this.startTimer()),M().get(\"ENGINE_COMPILE_ONLY\")||uL(this.gpgpu,f,c,p,o),l.forEach(x=>this.disposeIntermediateTensorInfo(x)),d&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)}));let g=M().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!M().getBool(\"WEBGL_LAZILY_UNPACK\")&&u.isPacked&&s===!1){let x=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),x}return a}compileAndRun(t,e,n,o,s=!1){return n=n||e[0].dtype,this.runWebGLProgram(t,e,n,o,s)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(M().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=B(()=>{if(!M().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let t=M().getBool(\"DEBUG\");M().set(\"DEBUG\",!1);let e=this.abs(pt(1e-8)).dataSync()[0];if(M().set(\"DEBUG\",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?xet:yet}uploadToGPU(t){let e=this.texData.get(t),{shape:n,dtype:o,values:s,texture:i,usage:a,isPacked:u}=e;if(i!=null)return;let l=this.activeTimers!=null,c;l&&(c=y.now());let p=e.texShape;if(p==null&&(p=BT(n,u),e.texShape=p),s!=null){let m=hd(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(u||!g)&&([d,h]=Ji(p[0],p[1])),u?f=new $w(m,g):f=new tg(m,g);let x=g?[h,d]:p,b=this.makeTensorInfo(x,o),w=this.texData.get(b.dataId);g?w.usage=Yr.PIXELS:w.usage=Yr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),d,h,s);let C=[[h,d]],N=!0,_=this.runWebGLProgram(f,[b],o,C,N),A=this.texData.get(_.dataId);e.texShape=A.texShape,e.isPacked=A.isPacked,e.usage=A.usage,M().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(e.texture=A.texture,e.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),l&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,a,o,u);e.texture=m}}convertAndCacheOnCPU(t,e){let n=this.texData.get(t),{dtype:o}=n;return e!=null&&(n.values=vet(e,o)),n.values}acquireTexture(t,e,n,o){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*y.bytesPerElement(e)}checkCompileCompletion(){for(let[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){let t=[];if(this.gpgpu.parallelCompilationExtension){for(let[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(let[,e]of Object.entries(this.binaryCache)){let n=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(s){throw s}});t.push(n)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await yh(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Cw(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let[,t]of Object.entries(this.binaryCache)){let{uniformLocations:e,customUniformLocations:n,infLoc:o,nanLoc:s,inShapesLocations:i,inTexShapesLocations:a,outShapeLocation:u,outShapeStridesLocation:l,outTexShapeLocation:c}=KT(this.gpgpu,t.program,t.webGLProgram);t.uniformLocations=e,t.customUniformLocations=n,t.infLoc=o,t.nanLoc=s,t.inShapesLocations=i,t.inTexShapesLocations=a,t.outShapeLocation=u,t.outShapeStridesLocation=l,t.outTexShapeLocation=c}}createTensorFromGPUData(t,e,n){t.channels=t.channels||\"RGBA\";let{texture:o,height:s,width:i,channels:a}=t,u=Ln().backend;if(!u.gpgpu.gl.isTexture(o))throw new Error(\"The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.\");let l=u.writeTexture(o,e,n,s,i,a);return Ln().makeTensorFromDataId(l,e,n,u)}};Su.nextDataId=0;function vet(r,t){if(t===\"float32\"||t===\"complex64\")return r;if(t===\"int32\"||t===\"bool\"){let e=t===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;nnew Su,2);var g1e={forceHalfFloat:gM};var Nd=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var ao=class{constructor(t,e,n){this.variableNames=[\"A\",\"B\"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=Ce(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${t}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var ta=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var Oo=class{constructor(t,e,n,o=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=Ce(s);let i=\"\";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(i=`\n ${Vt(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?i+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:i+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let u=er(\"coords\",s);this.enableShapeUniforms?i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:i+=`\n bool nextRowOutOfBounds =\n (${u[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${u[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${t}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${i}\n\n setOutput(result);\n }\n `}};function rr(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var xM={kernelName:po,backendName:\"webgl\",kernelFunc:rr};function An(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,\"complex64\"),i=e.texData.get(s.dataId),a=rr({inputs:{x:n},backend:e}),u=rr({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var yM={kernelName:mp,backendName:\"webgl\",kernelFunc:An};var fk=\"return (a < 0.) ? b * a : a;\",dk=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Net(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),a=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(dk,o.shape,i.shape):new ao(fk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],\"float32\");return e.disposeIntermediateTensorInfo(i),u}var bM={kernelName:is,backendName:\"webgl\",kernelFunc:Net};var hk=\"return (a < 0.) ? b * a : a;\",gk=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function Tet(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(gk,n.shape,o.shape):new ao(hk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],\"float32\")}var wM={kernelName:bs,backendName:\"webgl\",kernelFunc:Tet};var Po=\"if (isnan(x)) return x;\";function wt({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&t!=null,c;return l?c=new _n(i.shape,t):c=new Mr(i.shape,r),a.runWebGLProgram(c,[i],u)}}function ae({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype===\"complex64\"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,N]=w,_={dataId:C.dataId,dtype:C.dtype,shape:u.shape},A={dataId:N.dataId,dtype:N.dtype,shape:l.shape},$=new ao(r,u.shape,l.shape);return c.runWebGLProgram($,[_,A],lr(C.dtype,N.dtype))}),b=An({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||lr(u.dtype,l.dtype);if((u.dtype===\"string\"||l.dtype===\"string\"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype===\"string\"?S.fromUint8ToStringArray(d):d,x=u.dtype===\"string\"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),N=c.texData.get(C.dataId);return N.values=b,C}let m=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&t!=null,f;return m?f=new Oo(t,u.shape,l.shape,e):f=new ao(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function Il(r,t=!1){if(r===\"linear\")return t?cM:oM;if(r===\"relu\")return t?mM:iM;if(r===\"elu\")return t?pM:sM;if(r===\"relu6\")return t?fM:aM;if(r===\"prelu\")return t?gk:hk;if(r===\"leakyrelu\")return t?dk:fk;if(r===\"sigmoid\")return t?dM:lM;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Td=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Ce(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?\"i * 2, rc.y\":\"rc.y, i * 2\",f=s?\"rc.z, i * 2\":\"i * 2, rc.z\",d=o?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";a&&(u?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${a}\n }`:l?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${a}\n }`:g=`vec4 activation(vec4 x) {\n ${a}\n }`,x=\"result = activation(result);\");let b=i?\"result += getBiasAtOutCoords();\":\"\";i&&this.variableNames.push(\"bias\"),u&&this.variableNames.push(\"preluActivationWeights\"),l&&this.variableNames.push(\"leakyreluAlpha\");let w=\"rc.x\",C=\"rc.x\";t[0]`The new shape (${u}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);let c=i.texData.get(o.dataId);return c.isPacked&&!vu(o.shape,u)&&!(c.texture!==null&&vu(c.shape,u))?vM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var SM={kernelName:gi,backendName:\"webgl\",kernelFunc:it};var og=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l=\"sumValue += dot(values, ones);\";if(e!=null){let p=1/e;l=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c=\"\";s%n>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${a}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${l}\n }\n\n int inIdx = inOffset + ${a};\n if (${u===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${l}\n } else if (${u===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${l}\n } else if (${u===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${l}\n }\n setOutput(sumValue);\n }\n `}};var Uw=class{constructor(t,e){this.variableNames=[\"x\"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=\"0.0\",u=\"\";e===\"prod\"?a=\"1.0\":e===\"min\"?(a=\"1.0 / 1e-20\",u=\"min\"):e===\"max\"&&(a=\"-1.0 / 1e-20\",u=\"max\");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"sum\"?l=\"sumValue\":e===\"prod\"?l=\"prodValue\":e===\"all\"?l=\"allValue\":e===\"any\"&&(l=\"anyValue\");let c=Math.floor(n/4)*4,p=n%4,m=`\n if (${e===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${e===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${u}(values, minMaxValue);\n if (${e===\"min\"} || ${e===\"max\"}) {\n minMaxValue = ${u}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,f=\"vec4\";e===\"all\"?(a=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,f=\"bvec4\"):e===\"any\"&&(a=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,f=\"bvec4\");let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${a};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${a});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===2}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${p===3}) {\n ${f} values = ${f}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function Eet(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Hn(r,t,e,n){let o=Eet(r.shape),s=r;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=Vt(this.rank),s=pk(\"rc\",this.rank),i=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let N=e?[x,p,f]:[x,f,p],_=n?[b,d,m]:[b,m,d],A=it({inputs:{x:r},backend:o,attrs:{shape:N}}),$=it({inputs:{x:t},backend:o,attrs:{shape:_}}),F=[A,$],P=Math.max(x,b),V=e?A.shape[1]:A.shape[2],G=s!=null,W=i!=null,q=u===\"leakyrelu\",H=u!=null?Il(u,!0):null,K=G||W||q||H!=null,X;if((f===1||d===1)&&V>yk&&K===!1){let et=A,rt=$;e&&(et=Pe({inputs:{x:A},backend:o,attrs:{perm:[0,2,1]}}),F.push(et)),n&&(rt=Pe({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),F.push(rt));let ot=d!==1,at=d===1,nt=et;ot&&(nt=it({inputs:{x:et},backend:o,attrs:{shape:[P,V,1]}}),F.push(nt));let st=d===1?2:1,ft=rt;at&&(ft=it({inputs:{x:rt},backend:o,attrs:{shape:[P,1,V]}}),F.push(ft));let gt=ng({inputs:{a:nt,b:ft},backend:o});X=Uc({inputs:{x:gt},backend:o,attrs:{axis:st,keepDims:!0}}),F.push(gt)}else{let et=lr(r.dtype,t.dtype),rt=new Td(N,_,[P,f,d],e,n,G,H,W,q),ot=[A,$];if(s!=null&&ot.push(s),W&&ot.push(i),q){let at=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));ot.push(at),F.push(at)}X=o.runWebGLProgram(rt,ot,et)}let Z=it({inputs:{x:X},backend:o,attrs:{shape:C}});F.push(X);for(let et of F)o.disposeIntermediateTensorInfo(et);return Z}function Aet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Hc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var EM={kernelName:vi,backendName:\"webgl\",kernelFunc:Aet};var _M=\"return abs(x);\";function $et(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!==\"complex64\"){let s=e.texData.get(n.dataId),i=Mw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new _n(n.shape,_M):o=new Mr(n.shape,_M),e.runWebGLProgram(o,[n],n.dtype)}var AM={kernelName:li,backendName:\"webgl\",kernelFunc:$et};var Det=xr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,Ret=wt({opSnippet:Det}),$M={kernelName:la,backendName:\"webgl\",kernelFunc:Ret};var Fet=xr+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,Oet=wt({opSnippet:Fet}),DM={kernelName:ua,backendName:\"webgl\",kernelFunc:Oet};var RM=\"return a + b;\",Pet=ae({opSnippet:RM,packedOpSnippet:RM,supportsComplex:!0,cpuKernelImpl:pL}),FM={kernelName:Jn,backendName:\"webgl\",kernelFunc:Pet};var Kw=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n float result = ${o};\n setOutput(result);\n }\n `}};var jw=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${i}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${n.join(`\n `)}\n\n vec4 result = ${o};\n setOutput(result);\n }\n `}};function Xw(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return rr({inputs:{x:n[0]},backend:e});if(n.length>M().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let u=Math.floor(n.length/2),l=Xw({inputs:n.slice(0,u),backend:e}),c=Xw({inputs:n.slice(u),backend:e});return Xw({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>lr(u,l)),s=n.map(u=>u.shape),a=M().getBool(\"WEBGL_PACK\")?new jw(n[0].shape,s):new Kw(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var OM={kernelName:Vo,backendName:\"webgl\",kernelFunc:Xw};function Let(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"all\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=it({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Hn(h,h.dtype,\"all\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=it({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=it({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var PM={kernelName:ca,backendName:\"webgl\",kernelFunc:Let};function Met(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims(\"any\",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=it({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Hn(h,h.dtype,\"any\",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=it({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=it({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var LM={kernelName:pa,backendName:\"webgl\",kernelFunc:Met};var Yw=class{constructor(t,e,n){this.variableNames=[\"A\"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,i];let a=e===\"max\"?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${o}; i++) {\n int inIdx = ${u};\n float candidate = getA(batch, inIdx);\n if (candidate ${a} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var Zw=class{constructor(t,e,n,o){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push(\"bestIndicesA\");let a=this.outputShape,u=a.length,l=Vt(u),c=er(\"coords\",u),p,m;if(i===1){m=u+1;let $=Vt(m);p=`\n ${$} sourceLocR = ${$}(${c.join()}, 0);\n ++${c[u-1]};\n ${$} sourceLocG = ${$}(${c.join()}, 0);\n ++${c[u-2]};\n ${$} sourceLocA = ${$}(${c.join()}, 0);\n --${c[u-1]};\n ${$} sourceLocB = ${$}(${c.join()}, 0);\n --${c[u-2]};`}else m=u,p=`\n ${l} sourceLocR = coords;\n ++${c[u-1]};\n ${l} sourceLocG = coords;\n ++${c[u-2]};\n ${l} sourceLocA = coords;\n --${c[u-1]};\n ${l} sourceLocB = coords;\n --${c[u-2]};`;let f=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),d=\".\"+f[m-1],h=f.map($=>\"int \"+$),g=er(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=er(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=er(\"sourceLocB\",m-1).concat(\"inIdx.b\"),w=er(\"sourceLocA\",m-1).concat(\"inIdx.a\"),C=n===\"max\"?\"greaterThan\":\"lessThan\",N=o?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${w.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,A=o?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${f.join()}),\n vec2(${f.slice(-2).join()}));\n }\n ${A}\n void main() {\n ${l} coords = getOutputCoords();\n bool hasNextCol = ${c[u-1]} < ${a[u-1]-1};\n bool hasNextRow = ${c[u-2]} < ${a[u-2]-1};\n ${p}\n ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},\n sourceLocB${d}, sourceLocA${d}) * ${e};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${e}; i++) {\n inIdx = srcIdx;\n ${N}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${C}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function MM(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Yw(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,\"int32\");if(c.shape[1]===1)return c;let p=MM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function zM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new Zw(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,\"int32\");if(l.shape.length===t.shape.length){let c=zM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Jw(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims(\"arg\"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!M().getBool(\"WEBGL_PACK_REDUCE\")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=S.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=it({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=MM(r,m,n);s.push(f);let d=it({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return zM(r,t,n)}function zet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMax\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"max\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var BM={kernelName:Go,backendName:\"webgl\",kernelFunc:zet};function Bet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims(\"argMin\",[i[0]],u.shape.length);let c=Jw(e,u,i[0],\"min\");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var VM={kernelName:_l,backendName:\"webgl\",kernelFunc:Bet};var Vet=xr+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,Get=wt({opSnippet:Vet}),GM={kernelName:ma,backendName:\"webgl\",kernelFunc:Get};var Wet=xr+\"return log(x + sqrt(x * x + 1.0));\",Uet=wt({opSnippet:Wet}),WM={kernelName:fa,backendName:\"webgl\",kernelFunc:Uet};var Het=xr+`\n return atan(x);\n`,qet=wt({opSnippet:Het}),UM={kernelName:da,backendName:\"webgl\",kernelFunc:qet};var Ket=Nd+`\n return atan(a, b);\n`,jet=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+ta+`\n return result;\n`,Xet=ae({opSnippet:Ket,packedOpSnippet:jet}),HM={kernelName:ga,backendName:\"webgl\",kernelFunc:Xet};var Yet=xr+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Zet=wt({opSnippet:Yet}),qM={kernelName:ha,backendName:\"webgl\",kernelFunc:Zet};var ri=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e===\"avg\",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),n){let $=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${$} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let w=\"max\",C=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(C=\"avgValue / max(count, 1.0)\");let N=Math.floor(i/4)*4,_=i%4,A=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${w}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${u});\n const ivec2 pads = ivec2(${f}, ${d});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${N}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${A}\n }\n\n int xC = xCCorner + ${N};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${A}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${A}\n }\n }\n setOutput(${C});\n }\n `}},Tu=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=[\"x\"],e===\"avg\"&&n)throw new Error(\"Cannot compute positions for average pool.\");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e===\"avg\",C=\"0.0\";if(w||(C=\"-1.0 / 1e-20\"),n){let P=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${P} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${o?s?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${d} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let N=\"max\",_=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e===\"avg\"&&(_=\"avgValue / max(count, 1.0)\");let A=Math.floor(i/4)*4,$=i%4,F=`\n if (${w}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${N}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${u}, ${l});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${C};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${C});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${f};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${d};\n wR += ${p}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${A}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${F}\n }\n\n int xC = xCCorner + ${A};\n if (${$===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${F}\n } else if (${$===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${F}\n }\n }\n }\n setOutput(${_});\n }\n `}};function Jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ti(o,\"avgPool\");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return rr({inputs:{x:o},backend:e});let p=new ri(c,\"avg\",!1);return e.runWebGLProgram(p,[o],\"float32\")}var KM={kernelName:Wo,backendName:\"webgl\",kernelFunc:Jet};function Qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Tu(p,\"avg\",!1);return e.runWebGLProgram(m,[o],\"float32\")}var jM={kernelName:Al,backendName:\"webgl\",kernelFunc:Qet};var Qw=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${p});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${u};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${l};\n wC+= ${a}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},tC=class{constructor(t){this.variableNames=[\"dy\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=`\n const ivec3 pads = ivec3(${d}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${u}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${l}) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${f};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function trt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new tC(m);return e.runWebGLProgram(f,[o],i.dtype)}var XM={kernelName:up,backendName:\"webgl\",kernelFunc:trt};function ert(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;ti([o,s],\"avgPoolGrad\");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new Qw(c);return e.runWebGLProgram(p,[o],i.dtype)}var YM={kernelName:lp,backendName:\"webgl\",kernelFunc:ert};function rrt(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Hc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var ZM={kernelName:Uo,backendName:\"webgl\",kernelFunc:rrt};var eC=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"0.0\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"1.0\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${a};\n float scale = ${u};\n float inv = scale * inversesqrt(variance + float(${i}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var rC=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a=\"vec4(0.0)\";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push(\"offset\"),a=\"getOffsetAtOutCoords()\");let u=\"vec4(1.0)\";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push(\"scale\"),u=\"getScaleAtOutCoords()\"),this.outputShape=t,this.userCode=`\n void main() {\n vec4 offset = ${a};\n vec4 scale = ${u};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${i}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var nrt=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(i==null||o.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(a==null||o.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new rC(n.shape,o.shape,s.shape,c,p,u):new eC(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},JM={kernelName:ns,backendName:\"webgl\",kernelFunc:nrt};var nC=class{constructor(t){this.variableNames=[\"source\"],this.outputShape=t,this.rank=t.length;let e=Vt(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let n=ort(this.rank),o,s=t.map((i,a)=>`sourceLoc.${bk[a]} = start[${a}] + coords.${bk[a]};`);o=`\n ${e} sourceLoc;\n ${e} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${o}\n setOutput(getSource(${n}));\n }\n `}},bk=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function ort(r){if(r===1)return\"sourceLoc\";if(r<=6)return bk.slice(0,r).map(t=>\"sourceLoc.\"+t).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var oC=class{constructor(t){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let e=Vt(this.rank),n=er(\"coords\",this.rank),o=er(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=`\n result.x = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.y = ${i};\n --${o[this.rank-1]};\n }\n `,u=this.rank===1?\"\":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${t[this.rank-2]}) {\n ++${o[this.rank-2]};\n result.z = ${i};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${o[this.rank-1]};\n result.w = ${i};\n }\n }\n `,l=this.rank<=4?`sourceLoc = coords +\n ${e}(${t.map((c,p)=>`start[${p}]`).join()});`:t.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(`\n`);this.userCode=`\n void main() {\n ${e} coords = getOutputCoords();\n ${e} sourceLoc;\n ${l}\n vec4 result = vec4(0.);\n ${a}\n ${u}\n setOutput(result);\n }\n `}};function srt(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=ze.computeFlatOffset(t,y.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ni(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=ze.parseSliceParams(o,s,i);if(ze.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype===\"string\"){let p=e.texData.get(o.dataId),m=GL(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=ze.isSliceContinous(o.shape,a,u);if(l||!c){let p=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new oC(u):new nC(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),srt(o,a,u,e)}var QM={kernelName:yi,backendName:\"webgl\",kernelFunc:ni};var irt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.assert(o.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((b,w)=>b*w),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=it({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Pe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=it({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ni({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),x},tz={kernelName:ui,backendName:\"webgl\",kernelFunc:irt};function art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Lw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var ez={kernelName:cp,backendName:\"webgl\",kernelFunc:art};function lrt(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],\"int32\",Int32Array.from(a))}var rz={kernelName:pp,backendName:\"webgl\",kernelFunc:lrt};var urt=\"return float(a != b);\",wk=ae({opSnippet:urt,cpuKernelImpl:RL,dtype:\"bool\"}),nz={kernelName:Oa,backendName:\"webgl\",kernelFunc:wk};function vl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return rr({inputs:{x:o.complexTensorInfos.real},backend:e})}var oz={kernelName:Fp,backendName:\"webgl\",kernelFunc:vl};var crt=\"return float(int(x));\";function sz(r,t){let e=new Mr(r.shape,crt),n=t.runWebGLProgram(e,[r],\"int32\");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function Ck(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s===\"complex64\"){if(o.dtype===\"complex64\")return rr({inputs:{x:o},backend:e});let i=Te(o.shape),a=Ck({inputs:{x:o},backend:e,attrs:{dtype:\"float32\"}}),u=An({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype===\"complex64\"){let i=vl({inputs:{input:o},backend:e}),a=Ck({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=rr({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=fL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s===\"int32\")return sz(o,e);if(s===\"bool\"){let i=e.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),u=wk({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var iz={kernelName:uo,backendName:\"webgl\",kernelFunc:Ck};var az=\"return ceil(x);\",prt=wt({opSnippet:az,packedOpSnippet:az,cpuKernelImpl:dL}),lz={kernelName:Ho,backendName:\"webgl\",kernelFunc:prt};var sC=class{constructor(t){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var iC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=t,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function mrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;M().getBool(\"WEBGL_PACK_CLIP\")?a=new iC(o.shape):a=new sC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var uz={kernelName:co,backendName:\"webgl\",kernelFunc:mrt};var aC=class{constructor(t){this.variableNames=[\"real\",\"imag\"],this.outputShape=t,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function cz(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function frt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new aC(n.shape),i=[cz(n,o.complexTensorInfos.real),cz(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var pz={kernelName:$l,backendName:\"webgl\",kernelFunc:frt};var lC=class{constructor(t){this.outputShape=[],this.outputShape=S.computeOutShape(t,1),this.variableNames=t.map((i,a)=>`T${a}`);let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h= ${u[h-1]}) {\n return getChannel(\n getT${h}(${uC(a,l,g)}),\n vec2(${uC(c,l,g)}));\n }`}let f=u.length,d=u[u.length-1];m+=`\n return getChannel(\n getT${f}(${uC(a,l,d)}),\n vec2(${uC(c,l,d)}));`,this.userCode=`\n float getValue(${a.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${i}), 0., 0., 0.);\n\n ${i[o-1]} = ${i[o-1]} + 1;\n if (${i[o-1]} < ${n[o-1]}) {\n result.g = getValue(${i});\n }\n\n ${i[o-2]} = ${i[o-2]} + 1;\n if (${i[o-2]} < ${n[o-2]}) {\n result.a = getValue(${i});\n }\n\n ${i[o-1]} = ${i[o-1]} - 1;\n if (${i[o-2]} < ${n[o-2]} &&\n ${i[o-1]} < ${n[o-1]}) {\n result.b = getValue(${i});\n }\n setOutput(result);\n }\n `}};function uC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function qc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return rr({inputs:{x:o.complexTensorInfos.imag},backend:e})}var mz={kernelName:Sp,backendName:\"webgl\",kernelFunc:qc};function kd(r,t,e){let n=r[0].dtype;if(n===\"complex64\"){let f=r.map(b=>vl({inputs:{input:b},backend:e})),d=r.map(b=>qc({inputs:{input:b},backend:e})),h=kd(f,t,e),g=kd(d,t,e),x=An({inputs:{real:h,imag:g},backend:e});return f.forEach(b=>e.disposeIntermediateTensorInfo(b)),d.forEach(b=>e.disposeIntermediateTensorInfo(b)),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),x}let o=e.shouldExecuteOnCPU(r);if(n===\"string\"&&(o=!0),o){let f=r.map(C=>{let _=[-1,y.sizeFromShape(C.shape.slice(t))];return it({inputs:{x:C},backend:e,attrs:{shape:_}})}),d=f.map(C=>({vals:e.readSync(C.dataId),shape:C.shape})),h=S.computeOutShape(f.map(C=>C.shape),1),g=f[0].shape[0]===1,x=hL(d,h,n,g),b=S.computeOutShape(r.map(C=>C.shape),t),w=e.makeTensorInfo(b,n,x);return f.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}let s=r.filter(f=>y.sizeFromShape(f.shape)>0),i=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")&&s[0].shape.length>1;if(s.length===1){let f=i?new Mr(r[0].shape,Qi):new _n(r[0].shape,Qi);return e.runWebGLProgram(f,r,n)}let a=M().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(s.length>a){let f=[];for(let h=0;hd.shape),t);return e.runWebGLProgram(f,s,n)}let{tensors2D:u,outShape:l}=drt(s,t,e),c=new lC(u.map(f=>f.shape)),p=e.runWebGLProgram(c,u,n);u.forEach(f=>e.disposeIntermediateTensorInfo(f));let m=it({inputs:{x:p},attrs:{shape:l},backend:e});return e.disposeIntermediateTensorInfo(p),m}function drt(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>it({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function Ik(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=t.map(l=>l.shape);S.assertParamsConsistent(i,s);let a=S.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);let u=t.filter(l=>y.sizeFromShape(l.shape)>0);return u.length===1?rr({inputs:{x:u[0]},backend:e}):kd(u,s,e)}var fz={kernelName:ci,backendName:\"webgl\",kernelFunc:Ik};var Ed=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,w=g?3:1,C=\"\",N=\"\";n&&(o?C=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?C=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:C=`\n float activation(float x) {\n ${n}\n }\n `,N=\"result = activation(result);\");let _=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${C}\n\n const ivec2 strides = ivec2(${u}, ${l});\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${w}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${p};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${N}\n setOutput(result);\n }\n `}},pC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${i}, ${a});\n const ivec3 pads = ivec3(${e}, ${n}, ${o});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${p}; wF++) {\n int xF = xFCorner + wF * ${u};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${d}) *\n getW(wF, wR, wC, ${d}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${d}),\n getX(batch, xF, xR, xC, ${d} + 1),\n getX(batch, xF, xR, xC, ${d} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${d}, d2),\n getW(wF, wR, wC, ${d} + 1, d2),\n getW(wF, wR, wC, ${d} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var _d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(p+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*u};\n `,a===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,u===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,u>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${a}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+p}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+p}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${l}\n\n ${o.output} = result;\n }\n `}};function fC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function dC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat===\"channelsLast\",d=!1,h=!1,g,x=[];if(s!=null){let C=fC(s.shape,f);C!=null&&(s=it({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=fC(o.shape,f);C!=null&&(o=it({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>yk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},_=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(vu(l.shape,N.shape),()=>`packed reshape ${l.shape} to ${N.shape} isn't free`);let A=it({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push(A);let $=Hc({a:N,b:A,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),F=n.texData.get($.dataId);y.assert(F.isPacked,()=>\"batchMatMul result is expected to be packed\"),l.shape=_,F.shape=e.outShape,g=rr({inputs:{x:$},backend:n}),g.shape=e.outShape,x.push($)}else{let C=e.outHeight*e.outWidth,N=it({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),_=it({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),A=Hc({a:f?N:_,b:f?_:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=it({inputs:{x:A},backend:n,attrs:{shape:e.outShape}}),x.push(N),x.push(_),x.push(A)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function hC({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f===\"channelsLast\",h=u*l*c,g=m*p,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let Z=fC(s.shape,d);Z!=null&&(s=it({inputs:{x:s},backend:n,attrs:{shape:Z}}),C.push(s))}if(o!=null){let Z=fC(o.shape,d);Z!=null&&(o=it({inputs:{x:o},backend:n,attrs:{shape:Z}}),C.push(o))}let N=it({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(N);let _=new mC(x,e),A=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],$=n.runWebGLProgram(_,[r],\"float32\",A),F=it({inputs:{x:$},backend:n,attrs:{shape:x}});C.push($),C.push(F);let P=o!=null,V=s!=null,G=a===\"leakyrelu\",W=a?Il(a,!0):null,q=new Td(d?F.shape:N.shape,d?N.shape:F.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,P,W,V,G),H=d?[F,N]:[N,F];if(o&&H.push(o),V&&H.push(s),G){let Z=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));H.push(Z),C.push(Z)}let K=n.runWebGLProgram(q,H,\"float32\"),X=it({inputs:{x:K},backend:n,attrs:{shape:e.outShape}});C.push(K);for(let Z of C)n.disposeIntermediateTensorInfo(Z);return X}function hrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))f=dC({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let h=new _d(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],\"float32\",g)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))f=hC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Ed(m);f=e.runWebGLProgram(h,[o,s],\"float32\")}let d=it({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var dz={kernelName:qo,backendName:\"webgl\",kernelFunc:hrt};var gC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n if (${i}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},xC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat===\"channelsLast\",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${p}];\n\n ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n\n if (${i}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},yC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yF = 0; yF < ${t.outDepth}; yF++) {\n int xF = wF + yF * ${e} - ${s};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${i};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${a};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},bC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${u}, ${l}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${e}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${e} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${i}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function grt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new gC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var hz={kernelName:fp,backendName:\"webgl\",kernelFunc:grt};function xrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new xC(m);return e.runWebGLProgram(f,[o,s],\"float32\")}var gz={kernelName:Ko,backendName:\"webgl\",kernelFunc:xrt};function yrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new pC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var xz={kernelName:Dl,backendName:\"webgl\",kernelFunc:yrt};function brt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new yC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var yz={kernelName:dp,backendName:\"webgl\",kernelFunc:brt};function wrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new bC(l);return e.runWebGLProgram(c,[o,s],\"float32\")}var bz={kernelName:hp,backendName:\"webgl\",kernelFunc:wrt};var Crt=Po+`\n return cos(x);\n`,Irt=wt({opSnippet:Crt}),wz={kernelName:jo,backendName:\"webgl\",kernelFunc:Irt};var vrt=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,Srt=wt({opSnippet:vrt}),Cz={kernelName:Xo,backendName:\"webgl\",kernelFunc:Srt};var wC=class{constructor(t,e,n,o,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o===\"bilinear\"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,\"(y2-y1) * height_ratio\",`y1*${d} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${d}`],[w,C,N]=m>1?[`${(u-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${w});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${i}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${C};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${d} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${N};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${f} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var Nrt=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new wC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],\"float32\")},Iz={kernelName:ya,backendName:\"webgl\",kernelFunc:Nrt};var Kc;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Kc||(Kc={}));var sg=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,i=this.op===Kc.Prod?\"1.0\":\"0.0\",a=n?i:`getX(${vz(s,\"coords\",this.op)})`,u=this.outputShape[this.outputShape.length-1],l=\"\",c=\"\";n?(l=o?`end != ${u-1}`:\"end != 0\",c=o?\"end + 1\":\"end - 1\"):(l=o?`end + pow2 < ${u}`:\"end >= pow2\",c=o?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${Vt(s)} coords = getOutputCoords();\n int end = ${Sz(s,\"coords\",this.op)};\n float val = ${a};\n int pow2 = int(pow(2.0, index));\n if (${l}) {\n int idx = ${c};\n ${Sz(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${vz(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function vz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.x, ${t}.y`;if(r===3)return`${t}.x, ${t}.y, ${t}.z`;if(r===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function Sz(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function CC(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Pe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=rr({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new sg(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new sg(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Pe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function Trt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(Kc.Prod,o,e,s,i,a)}var Nz={kernelName:xa,backendName:\"webgl\",kernelFunc:Trt};function krt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return CC(Kc.Sum,o,e,s,i,a)}var Tz={kernelName:Yo,backendName:\"webgl\",kernelFunc:krt};function Ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Lw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=mL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var kz={kernelName:gp,backendName:\"webgl\",kernelFunc:Ert};var IC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${e};\n int offset_h = imod(h, ${e});\n int in_w = w / ${e};\n int offset_w = imod(w, ${e});\n int offset_d = (offset_h * ${e} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function _rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=new IC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var Ez={kernelName:ba,backendName:\"webgl\",kernelFunc:_rt};var Ad=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l=\"\",c=\"\";n&&(o?l=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:s?l=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${n}\n }`:l=`\n float activation(float x) {\n ${n}\n }\n `,c=\"result = activation(result);\");let p=e?\"result += getBiasAtOutCoords();\":\"\";e&&this.variableNames.push(\"bias\"),o&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${l}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${u};\n int q = d2 - d1 * ${u};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${i}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${a}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${p}\n ${c}\n setOutput(result);\n }\n `}};var $d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=t.outShape,this.enableShapeUniforms=Ce(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(f+=`\n xC = xCCorner + ${b*l};\n `,u===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,l===1&&b>0?f+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:f+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):f+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,l>1?f+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:f+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):w===1?f+=`\n xC${b+1} = xTexelC${b};\n `:f+=`\n xCOffset = xC + ${w};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(f+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new $d(p):m=new Ad(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],\"float32\",f)}var _z={kernelName:Zo,backendName:\"webgl\",kernelFunc:Art};var vC=class{constructor(t){this.variableNames=[\"x\",\"dy\"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${i} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${o};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${s};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},SC=class{constructor(t){this.variableNames=[\"dy\",\"W\"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${u}; dm++) {\n int d2 = d1 * ${u} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function $rt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new vC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var Az={kernelName:xp,backendName:\"webgl\",kernelFunc:$rt};function Drt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new SC(p);return e.runWebGLProgram(m,[o,s],\"float32\")}var $z={kernelName:yp,backendName:\"webgl\",kernelFunc:Drt};var NC=class{constructor(t){this.variableNames=[\"X\"],this.outputShape=[t,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function Rrt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=it({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new NC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=it({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var Dz={kernelName:bp,backendName:\"webgl\",kernelFunc:Rrt};var TC=class{constructor(t){this.variableNames=[\"x\",\"W\"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${i});\n const ivec2 pads = ivec2(${p}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${a}; h++) {\n int hIn = hBeg + h * ${l};\n\n if (hIn >= 0 && hIn < ${e}) {\n for (int w = 0; w < ${u}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${n}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function Frt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,\"NHWC\",u),c,p=new TC(l);c=e.runWebGLProgram(p,[o,s],\"float32\");let m=it({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Rz={kernelName:Rl,backendName:\"webgl\",kernelFunc:Frt};function Ort(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h=0&&(m=Uc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Fz={kernelName:wp,backendName:\"webgl\",kernelFunc:Ort};var Prt=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",Lrt=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,Mrt=wt({opSnippet:Prt,packedOpSnippet:Lrt}),Oz={kernelName:Qo,backendName:\"webgl\",kernelFunc:Mrt};var zrt=\"return (b >= 1.0) ? a : a * (b + 1.0);\",Brt=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,Vrt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=M().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Oo(Brt,n.shape,o.shape):new ao(zrt,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Pz={kernelName:Cp,backendName:\"webgl\",kernelFunc:Vrt};var Grt=`\n return vec4(equal(a, b));\n`,Wrt=\"return float(a == b);\",Urt=ae({opSnippet:Wrt,packedOpSnippet:Grt,dtype:\"bool\",cpuKernelImpl:gL}),Lz={kernelName:Ca,backendName:\"webgl\",kernelFunc:Urt};var Hrt=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${S.ERF_P};\n float a1 = ${S.ERF_A1};\n float a2 = ${S.ERF_A2};\n float a3 = ${S.ERF_A3};\n float a4 = ${S.ERF_A4};\n float a5 = ${S.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,qrt=wt({opSnippet:Hrt}),Mz={kernelName:wa,backendName:\"webgl\",kernelFunc:qrt};var Krt=Po+`\n return exp(x);\n`,jrt=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,vk=wt({opSnippet:Krt,packedOpSnippet:jrt,cpuKernelImpl:xL,dtype:\"float32\"}),zz={kernelName:ts,backendName:\"webgl\",kernelFunc:vk};function kC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),it({inputs:{x:s},backend:n,attrs:{shape:a}})}var Bz={kernelName:pi,backendName:\"webgl\",kernelFunc:kC};var Vz=\"return exp(x) - 1.0;\",Xrt=wt({opSnippet:Vz,packedOpSnippet:Vz,cpuKernelImpl:yL}),Gz={kernelName:Ia,backendName:\"webgl\",kernelFunc:Xrt};var ig=class{constructor(t,e,n){this.variableNames=[\"real\",\"imag\"];let o=e[1];this.outputShape=e;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=n?`${o}.0`:\"1.0\",a;if(t===\"real\")a=\"return real * expR - imag * expI;\";else if(t===\"imag\")a=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${t}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${a}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${o});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${o}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${i};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function EC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=it({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new ig(\"real\",u,t),c=new ig(\"imag\",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,\"float32\"),f=e.runWebGLProgram(c,p,\"float32\"),d=An({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=it({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Yrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!1,e)}var Wz={kernelName:Ip,backendName:\"webgl\",kernelFunc:Yrt};var _C=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=t,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function Sl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s===\"string\"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new _C(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Uz={kernelName:Fl,backendName:\"webgl\",kernelFunc:Sl};var AC=class{constructor(t){this.variableNames=[\"Image\"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${e} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${e}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var Hz={kernelName:va,backendName:\"webgl\",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new AC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var qz=\"return floor(x);\",Zrt=wt({opSnippet:qz,packedOpSnippet:qz,cpuKernelImpl:bL}),Kz={kernelName:es,backendName:\"webgl\",kernelFunc:Zrt};var Jrt=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,Qrt=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,tnt=ae({opSnippet:Jrt,packedOpSnippet:Qrt,dtype:\"int32\"}),jz={kernelName:rs,backendName:\"webgl\",kernelFunc:tnt};var $C=class{constructor(t){this.variableNames=[\"A\"];let e=We(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);\n\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var DC=class{constructor(t){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let e=We(),[n,o]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${o}.0, ${n}.0);\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${e.output} = result;\n }\n `}};var Xz={kernelName:Xd,backendName:\"webgl\",kernelFunc:ent},Dd,Sk=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function ent(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!=\"undefined\"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!=\"undefined\"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=M().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Dd==null||h!==Sk)&&(Sk=h,Dd=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:Sk})),Dd.canvas.width=u,Dd.canvas.height=l,Dd.drawImage(o,0,0,u,l),o=Dd.canvas}let m=e.makeTensorInfo(c,\"int32\");e.texData.get(m.dataId).usage=Yr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=M().getBool(\"WEBGL_PACK\")?new DC(p):new $C(p),d=e.runWebGLProgram(f,[m],\"int32\");return e.disposeData(m.dataId),d}function rnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,N=f===\"leakyrelu\",_=()=>{let $=[o,s],F=(P,V)=>{if(V===\"NCHW\"&&P.shape.length===1&&P.shape[0]!==1){let G=it({inputs:{x:P},backend:e,attrs:{shape:[P.shape[0],1,1]}});return b.push(G),G}return P};if(w&&$.push(F(i,c)),C&&$.push(F(a,c)),N){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));$.push(P),b.push(P)}return $};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=dC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h===\"channelsLast\"&&M().getBool(\"WEBGL_EXP_CONV\")){let $=f?Il(f,!0):null,F=new _d(g,w,$,C,N),P=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],V=_();x=e.runWebGLProgram(F,V,\"float32\",P)}else if(M().getBool(\"WEBGL_CONV_IM2COL\"))x=hC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let $=f?Il(f,!1):null,F=new Ed(g,w,$,C,N),P=_();x=e.runWebGLProgram(F,P,\"float32\")}let A=it({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach($=>e.disposeIntermediateTensorInfo($)),A}var Yz={kernelName:Si,backendName:\"webgl\",kernelFunc:rnt};function nnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=M().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?Il(m,x):null,w=[o,s],C=i!=null,N=a!=null,_=m===\"leakyrelu\";if(C&&w.push(i),N&&w.push(a),_){let P=e.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));w.push(P),d.push(P)}let A;x?A=new $d(g,C,b,N,_):A=new Ad(g,C,b,N,_);let $=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=e.runWebGLProgram(A,w,\"float32\",$);return d.forEach(P=>e.disposeIntermediateTensorInfo(P)),F}var Zz={kernelName:Ni,backendName:\"webgl\",kernelFunc:nnt};var RC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=[\"x\",\"indices\"],this.outputShape=n;let s=Vt(n.length),i=`\n int index;`;for(let a=0;a= ${this.paramsShape[a]};\n flattenIndex += index * ${this.strides[a]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${i}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function ont(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=y.sizeFromShape(n.shape),[u,l,c,p]=S.prepareAndValidate(n,o),m=it({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=it({inputs:{x:n},backend:e,attrs:{shape:[y.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype===\"string\"){let x=e.readSync(o.dataId),b=e.bufferSync(n),w=wL(x,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new RC(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=it({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Jz={kernelName:Sa,backendName:\"webgl\",kernelFunc:ont};var FC=class{constructor(t,e){this.variableNames=[\"A\",\"indices\"],this.outputShape=e,this.rank=e.length;let n=Vt(this.rank),o=snt(t,2);this.userCode=`\n void main() {\n ${n} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${o}));\n }\n `}};function snt(r,t){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],n=[];for(let o=0;o=0,()=>`GatherV2: the index value ${N} is not in [0, ${w-1}]`)}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=it({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=it({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype===\"string\"){let b=e.bufferSync(f),w=e.bufferSync(m),C=CL(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new FC(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=it({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var Qz={kernelName:mi,backendName:\"webgl\",kernelFunc:Nk};var int=\"return float(a > b);\",ant=`\n return vec4(greaterThan(a, b));\n`,lnt=ae({opSnippet:int,packedOpSnippet:ant,cpuKernelImpl:IL,dtype:\"bool\"}),t3={kernelName:Na,backendName:\"webgl\",kernelFunc:lnt};var unt=\"return float(a >= b);\",cnt=`\n return vec4(greaterThanEqual(a, b));\n`,pnt=ae({opSnippet:unt,packedOpSnippet:cnt,dtype:\"bool\",cpuKernelImpl:vL}),e3={kernelName:os,backendName:\"webgl\",kernelFunc:pnt};function mnt(r){let{inputs:t,backend:e}=r,{input:n}=t;return EC(n,!0,e)}var r3={kernelName:vp,backendName:\"webgl\",kernelFunc:mnt};var fnt=\"return float(!isnan(x) && !isinf(x));\",dnt=wt({opSnippet:fnt,dtype:\"bool\"}),n3={kernelName:Ta,backendName:\"webgl\",kernelFunc:dnt};var hnt=\"return float(isinf(x));\",gnt=wt({opSnippet:hnt,dtype:\"bool\"}),o3={kernelName:ka,backendName:\"webgl\",kernelFunc:gnt};var xnt=\"return float(isnan(x));\",ynt=wt({opSnippet:xnt,dtype:\"bool\"}),s3={kernelName:ss,backendName:\"webgl\",kernelFunc:ynt};var bnt=\"return float(a < b);\",wnt=`\n return vec4(lessThan(a, b));\n`,Cnt=ae({opSnippet:bnt,packedOpSnippet:wnt,cpuKernelImpl:SL,dtype:\"bool\"}),i3={kernelName:Ea,backendName:\"webgl\",kernelFunc:Cnt};var Int=\"return float(a <= b);\",vnt=`\n return vec4(lessThanEqual(a, b));\n`,Snt=ae({opSnippet:Int,packedOpSnippet:vnt,cpuKernelImpl:NL,dtype:\"bool\"}),a3={kernelName:_a,backendName:\"webgl\",kernelFunc:Snt};function Nnt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=TL(n,o,s);return t.makeTensorInfo([i.length],\"float32\",i)}var l3={kernelName:Np,backendName:\"webgl\",kernelFunc:Nnt};var Tnt=Po+`\n return x < 0.0 ? 0./0. : log(x);\n`,knt=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,Ent=wt({opSnippet:Tnt,packedOpSnippet:knt,cpuKernelImpl:kL}),u3={kernelName:as,backendName:\"webgl\",kernelFunc:Ent};var _nt=Po+`\n return log(1.0 + x);\n`,Ant=wt({opSnippet:_nt}),c3={kernelName:Aa,backendName:\"webgl\",kernelFunc:Ant};var $nt=\"return float(a >= 1.0 && b >= 1.0);\",Dnt=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,Rnt=ae({opSnippet:$nt,packedOpSnippet:Dnt,dtype:\"bool\"}),p3={kernelName:$a,backendName:\"webgl\",kernelFunc:Rnt};var Fnt=\"return float(!(x >= 1.0));\",Ont=wt({opSnippet:Fnt}),m3={kernelName:Da,backendName:\"webgl\",kernelFunc:Ont};var Pnt=\"return float(a >= 1.0 || b >= 1.0);\",Lnt=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,Mnt=ae({opSnippet:Pnt,packedOpSnippet:Lnt,dtype:\"bool\"}),f3={kernelName:Ra,backendName:\"webgl\",kernelFunc:Mnt};var OC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${i}; j <= ${i}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${a}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${u};\n setOutput(val);\n }\n `}};var PC=class{constructor(t,e,n,o,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${i};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${i}; j <= ${i}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${u};\n setOutput(result);\n }\n `}};var znt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=M().getBool(\"WEBGL_PACK_NORMALIZATION\")?new PC(o.shape,s,i,a,u):new OC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},d3={kernelName:Ol,backendName:\"webgl\",kernelFunc:znt};var LC=class{constructor(t,e,n,o,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${e})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${e} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${o}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${o})\n * float(${s})\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var Bnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new LC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},h3={kernelName:Tp,backendName:\"webgl\",kernelFunc:Bnt};function g3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=it({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Hn(a,r.dtype,\"max\",n),l=it({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function Tk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let A=0;A`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return rr({inputs:{x:o},backend:e});let p=new ri(c,\"max\",!1);return e.runWebGLProgram(p,[o],o.dtype)}var b3={kernelName:cs,backendName:\"webgl\",kernelFunc:Unt};function Hnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Tu(p,\"max\",!1);return e.runWebGLProgram(m,[o],o.dtype)}var w3={kernelName:Pl,backendName:\"webgl\",kernelFunc:Hnt};var MC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${u});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${o}) {\n float dyR = float(dyRCorner + wR) / ${e}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${i}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${i} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},zC=class{constructor(t){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${m}, ${f});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${u};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${e}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${l};\n wR += ${i}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${a}) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${d} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${l} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function qnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Tu(m,\"max\",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new zC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var C3={kernelName:Ep,backendName:\"webgl\",kernelFunc:qnt};function Knt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;ti([s,i],\"maxPoolGrad\");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new ri(m,\"max\",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new MC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var I3={kernelName:kp,backendName:\"webgl\",kernelFunc:Knt};function v3(r,t,e,n){let o=new ri(e,\"max\",!1),s=n.runWebGLProgram(o,[r],\"float32\");o=new ri(e,\"max\",!0,!0,t);let i=n.runWebGLProgram(o,[r],\"float32\");return[s,i]}var S3={kernelName:_p,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=v3(n,a,c,u);return[p,m]}};function N3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=it({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Hn(a,\"float32\",\"mean\",n),l=it({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var T3={kernelName:ps,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=y.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,N=new Array(a);for(let $=0;$c[0]+t[p]+c[1]);let o=t.length,s=Vt(o),i=e.map(c=>c[0]).join(\",\"),a=e.map((c,p)=>c[0]+t[p]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o),l=n===\"reflect\"?0:1;if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${l};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${l};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${o}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${l};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n `}};var VC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=Vt(o),i=e.map(d=>d[0]).join(\",\"),a=e.map((d,h)=>d[0]+t[h]).join(\",\"),u=er(\"rc\",o),l=er(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=n===\"reflect\"?0:1,f=\"\";if(o===1){let d=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n `}else{let d=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;f=`\n ${s} rc = outputLoc;\n ${d}\n result[0] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[1] = getChannel(getX(${l.join()}), ${p});\n }\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {\n ${d}\n result[2] = getChannel(getX(${l.join()}), ${p});\n ${u[o-1]} += 1;\n if(${c}) {\n ${d}\n result[3] = getChannel(getX(${l.join()}), ${p});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${i});\n const ${s} end = ${s}(${a});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${f}\n setOutput(result);\n }\n `}};var Jnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new VC(n.shape,o,s):new BC(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},_3={kernelName:ds,backendName:\"webgl\",kernelFunc:Jnt};var Qnt=`if (b == 0.0) return NAN;\n return mod(a, b);`,tot=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+ta+`\n return result;\n`,eot=ae({opSnippet:Qnt,packedOpSnippet:tot}),A3={kernelName:Fa,backendName:\"webgl\",kernelFunc:eot};var GC=class{constructor(t,e,n){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[t,n],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${e-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${e-1}));\n }\n `}};var rot=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,not=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,kk=ae({opSnippet:rot,packedOpSnippet:not,checkOutOfBounds:!0}),$3={kernelName:Jo,backendName:\"webgl\",kernelFunc:kk};var D3=\"return a - b;\",Ek=ae({opSnippet:D3,packedOpSnippet:D3,supportsComplex:!0,cpuKernelImpl:YL}),R3={kernelName:Os,backendName:\"webgl\",kernelFunc:Ek};function _k(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=Tk({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=it({inputs:{x:a},backend:e,attrs:{shape:u}}),c=Ek({inputs:{a:o,b:l},backend:e}),p=vk({inputs:{x:c},backend:e}),m=Uc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=it({inputs:{x:m},backend:e,attrs:{shape:u}}),d=kk({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var F3={kernelName:Rs,backendName:\"webgl\",kernelFunc:_k};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:_k({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new GC(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],\"int32\",m);return a||e.disposeIntermediateTensorInfo(u),f}var O3={kernelName:Ap,backendName:\"webgl\",kernelFunc:oot};var sot=xr+`\n return -x;\n`,iot=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function aot(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=DL(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return M().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?o=new _n(n.shape,iot):o=new Mr(n.shape,sot),e.runWebGLProgram(o,[n],n.dtype)}var P3={kernelName:fi,backendName:\"webgl\",kernelFunc:aot};var lot=qr.nonMaxSuppressionV3Impl;function uot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=lot(l,c,i,a,u);return e.makeTensorInfo([p.length],\"int32\",new Int32Array(p))}var L3={kernelName:Pa,backendName:\"webgl\",kernelFunc:uot};var cot=qr.nonMaxSuppressionV4Impl;function pot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=cot(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),e.makeTensorInfo([],\"int32\",new Int32Array([f]))]}var M3={kernelName:La,backendName:\"webgl\",kernelFunc:pot};var mot=qr.nonMaxSuppressionV5Impl;function fot(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:x}=mot(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),e.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var z3={kernelName:Ma,backendName:\"webgl\",kernelFunc:fot};var WC=class{constructor(t,e,n,o){this.variableNames=[\"indices\"],this.outputShape=[t,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${o}), float(${n}),\n float(index == coords.y)));\n }\n `}};var dot=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new WC(l,i,a,u),p=it({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=it({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},B3={kernelName:gs,backendName:\"webgl\",kernelFunc:dot};function ag(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"complex64\"){let o=vl({inputs:{input:n},backend:e}),s=ag({inputs:{x:o},backend:e}),i=qc({inputs:{input:n},backend:e}),a=ag({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Sl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype===\"string\"?\"\":0},backend:e})}var V3={kernelName:Ii,backendName:\"webgl\",kernelFunc:ag};function G3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(n.dtype===\"complex64\"){let o=vl({inputs:{input:n},backend:e}),s=G3({inputs:{x:o},backend:e}),i=qc({inputs:{input:n},backend:e}),a=ag({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return Sl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var W3={kernelName:di,backendName:\"webgl\",kernelFunc:G3};function hot(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return kC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=kC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Ik({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var U3={kernelName:hi,backendName:\"webgl\",kernelFunc:hot};var UC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=Vt(o),i=e.map(l=>l[0]).join(\",\"),a=e.map((l,c)=>l[0]+t[c]).join(\",\"),u=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,o);if(o===1){this.userCode=`\n int start = ${i};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${i});\n ${s} end = ${s}(${a});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${u}));\n }\n }\n `}};var HC=class{constructor(t,e,n){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=Vt(o),i=e.map(h=>h[0]).join(\",\"),a=e.map((h,g)=>h[0]+t[g]).join(\",\"),u=er(\"rc\",o),l=er(\"source\",o),c=`${u[o-1]} < ${this.outputShape[o-1]}`,p=o===1?\"source\":`vec2(${l.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${u[o-1]} += 1;\n if(${c}) {\n `,o===1?\"\":`}\n rc = outputLoc;\n ${u[o-2]} += 1;\n if(${u[o-2]} < ${this.outputShape[o-2]}) {`,o===1?\"\":` ${u[o-1]} += 1;\n if(${c}) {`],f=o===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",d=\"\";for(let h=0,g=o===1?2:4;h{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return Sl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new HC(o.shape,s,i):new UC(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},H3={kernelName:xs,backendName:\"webgl\",kernelFunc:Ak};var got=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,xot=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+ta+`\n return result;\n`,yot=ae({opSnippet:got,packedOpSnippet:xot}),q3={kernelName:ys,backendName:\"webgl\",kernelFunc:yot};function bot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Pe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims(\"prod\",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=FL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=it({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Bu(o.dtype),w=Hn(x,b,\"prod\",e);f=it({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=it({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var K3={kernelName:ws,backendName:\"webgl\",kernelFunc:bot};function wot(r){let{inputs:t,backend:e,attrs:n}=r,{paramsNestedSplits:o,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:a}=n,u=o.map(x=>e.readSync(x.dataId)),l=o.map(x=>x.shape),c=e.readSync(s.dataId),p=e.readSync(i.dataId),[m,f,d]=OL(u,l,c,s.shape,s.dtype,p,i.shape,a),h=m.map(x=>e.makeTensorInfo([x.length],\"int32\",x)),g=e.makeTensorInfo(d,s.dtype,f);return h.concat([g])}var j3={kernelName:$p,backendName:\"webgl\",kernelFunc:wot};function Cot(r){let{inputs:t,backend:e}=r,{starts:n,limits:o,deltas:s}=t,i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=PL(i,n.shape,n.dtype,a,o.shape,u,s.shape),p=e.makeTensorInfo([l.length],\"int32\",l),m=e.makeTensorInfo([c.length],n.dtype,c);return[p,m]}var X3={kernelName:Dp,backendName:\"webgl\",kernelFunc:Cot};function Iot(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=LL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var Y3={kernelName:Rp,backendName:\"webgl\",kernelFunc:Iot};var $k=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=ML(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},Z3={kernelName:Ll,backendName:\"webgl\",kernelFunc:$k};var vot=\"return 1.0 / x;\",Sot=wt({opSnippet:vot}),J3={kernelName:Cs,backendName:\"webgl\",kernelFunc:Sot};var Not=xr+`\n return (x < 0.0) ? 0.0 : x;\n`,Tot=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,kot=wt({opSnippet:Not,packedOpSnippet:Tot}),Q3={kernelName:Is,backendName:\"webgl\",kernelFunc:kot};var Eot=xr+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,_ot=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Aot=wt({opSnippet:Eot,packedOpSnippet:_ot}),tB={kernelName:Ns,backendName:\"webgl\",kernelFunc:Aot};var qC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var KC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function $ot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new KC(o.shape,u,l,s,i):new qC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],\"float32\")}var eB={kernelName:Ss,backendName:\"webgl\",kernelFunc:$ot};var jC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Dot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new jC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var rB={kernelName:Pp,backendName:\"webgl\",kernelFunc:Dot};var XC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":f=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/p[0]},\n ${c[1]/p[1]});\n const vec2 inputShapeRC = vec2(${a}.0, ${u}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var YC=class{constructor(t,e,n,o,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?\"0.5\":\"0.0\",f;s?f=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":f=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/p[0]},\n ${c[1]/p[1]},\n ${c[1]/p[1]});\n const vec3 inputShapeRC = vec3(${a}.0, ${u}.0,\n ${u}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${f};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${l-1};\n bool hasNextRow = coords.z < ${n-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function Rot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=M().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new YC(o.shape,u,l,s,i):new XC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var nB={kernelName:vs,backendName:\"webgl\",kernelFunc:Rot};var ZC=class{constructor(t,e,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${p});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${f});\n\n const int winHeight = int(${d});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${i}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float sourceFracRow =\n float(${u[0]}) *\n (float(dyR) / float(${l[0]}));\n\n float sourceFracCol =\n float(${u[1]}) *\n (float(dyC) / float(${l[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${o}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Fot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new ZC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var oB={kernelName:Op,backendName:\"webgl\",kernelFunc:Fot};var JC=class{constructor(t,e){this.variableNames=[\"x\"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${t[0]} - coord - 1));\n }\n `;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,s=t.map((a,u)=>o(u)).join(\",\"),i=Vt(n);this.userCode=`\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var QC=class{constructor(t,e){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;let o=er(\"rc\",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,i=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,a=Vt(n);n===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${t[0]} - rc - 1),\n ${t[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${t[0]} - (rc + 1) - 1),\n ${t[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${a} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${u(o.slice())};\n if(${s}){\n result.g = ${l(o.slice())};\n }\n if(${i}) {\n result.b = ${c(o.slice())};\n if(${s}) {\n result.a = ${p(o.slice())};\n }\n }\n setOutput(result);\n }\n `;function u(d){return m(d)}function l(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",m(d)}function c(d){return d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function p(d){return d[n-1]=\"(\"+d[n-1]+\" + 1)\",d[n-2]=\"(\"+d[n-2]+\" + 1)\",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function Oot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return rr({inputs:{x:o},backend:e});let u=M().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new QC(o.shape,a):new JC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var sB={kernelName:Ts,backendName:\"webgl\",kernelFunc:Oot};var tI=class{constructor(t,e){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let n=t[1],o=t[2];this.outputShape=t;let s=\"\";typeof e==\"number\"?s=`float outputValue = ${e.toFixed(2)};`:s=`\n vec3 fill = vec3(${e.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${o} && coordY >= 0 && coordY < ${n}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var iB={kernelName:ja,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new tI(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var Pot=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,Lot=wt({opSnippet:Pot}),aB={kernelName:ks,backendName:\"webgl\",kernelFunc:Lot};var Mot=\"return inversesqrt(x);\",zot=wt({opSnippet:Mot,cpuKernelImpl:zL}),lB={kernelName:Es,backendName:\"webgl\",kernelFunc:zot};var Rd=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=i;let u=Vt(s.length),l=Vt(i.length),c=\"\";n===1?c=\"i\":n===2&&(c=\"i, j\");let p=`getIndices(${c})`,m=\"\";o===1?m=\"i\":o===2&&(m=\"i, coords[1]\");let f=`getUpdates(${m})`,d=e>1?\"strides[j]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${l} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${t}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${e}; j++) {\n int index = round(${p});\n flattenedIndex += index * ${d};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}};function Bot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=it({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=it({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],\"float32\",new Float32Array([0])),g=new Rd(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=it({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var uB={kernelName:za,backendName:\"webgl\",kernelFunc:Bot};var eI=class{constructor(t,e,n,o){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[t,n];let s=\"while (left < right) {\",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=M().getNumber(\"WEBGL_VERSION\")===2?s:i,u=o===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${a}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${u} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function Vot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new eI(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],\"int32\",u)}var cB={kernelName:Lp,backendName:\"webgl\",kernelFunc:Vot};var rI=class{constructor(t,e,n){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=e;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s=\"resRC\",o=\"resRC\";else{let a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],u=[],l=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function Got(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new rI(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],lr(o.dtype,s.dtype))}var pB={kernelName:xi,backendName:\"webgl\",kernelFunc:Got};var Wot=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${S.SELU_SCALEALPHA};\n float scale = ${S.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,Uot=wt({opSnippet:Wot}),mB={kernelName:Ba,backendName:\"webgl\",kernelFunc:Uot};var Hot=Po+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,qot=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Kot=wt({opSnippet:Hot,packedOpSnippet:qot,cpuKernelImpl:VL}),fB={kernelName:As,backendName:\"webgl\",kernelFunc:Kot};var jot=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,Xot=wt({opSnippet:jot}),dB={kernelName:Ga,backendName:\"webgl\",kernelFunc:Xot};var Yot=Po+`\n return sin(x);\n`,Zot=wt({opSnippet:Yot}),hB={kernelName:_s,backendName:\"webgl\",kernelFunc:Zot};var Jot=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,Qot=wt({opSnippet:Jot}),gB={kernelName:Va,backendName:\"webgl\",kernelFunc:Qot};var tst=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,est=wt({opSnippet:tst}),xB={kernelName:Wa,backendName:\"webgl\",kernelFunc:est};var rst=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;xe.disposeIntermediateTensorInfo(x)),g},yB={kernelName:bi,backendName:\"webgl\",kernelFunc:rst};function nst(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${i.shape}`);let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=WL(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],\"bool\",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var bB={kernelName:Ml,backendName:\"webgl\",kernelFunc:nst};function ost(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=UL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var wB={kernelName:Ua,backendName:\"webgl\",kernelFunc:ost};function sst(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var CB={kernelName:zl,backendName:\"webgl\",kernelFunc:sst};function ist(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=zw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var IB={kernelName:Bl,backendName:\"webgl\",kernelFunc:ist};function ast(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype===\"string\"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=BL(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new Rd(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=it({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var vB={kernelName:Mp,backendName:\"webgl\",kernelFunc:ast};function lst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ni({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var SB={kernelName:wi,backendName:\"webgl\",kernelFunc:lst};var NB=\"return sqrt(x);\",ust=wt({opSnippet:NB,packedOpSnippet:NB,cpuKernelImpl:HL}),TB={kernelName:$s,backendName:\"webgl\",kernelFunc:ust};var cst=\"return x * x;\",pst=wt({opSnippet:cst}),kB={kernelName:Vl,backendName:\"webgl\",kernelFunc:pst};var EB=\"return (a - b) * (a - b);\",mst=ae({opSnippet:EB,packedOpSnippet:EB}),_B={kernelName:Fs,backendName:\"webgl\",kernelFunc:mst};function fst({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=xr+`\n return x > 0.0 ? 1.0 : float(${t.alpha});\n `,s=new Mr(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var AB={kernelName:mo,backendName:\"webgl\",kernelFunc:fst};var nI=class{constructor(t,e,n){this.variableNames=[\"x\"],this.outputShape=n;let o=n.length,s=Vt(n.length),i=Vt(n.length),a=\"\";if(o===1)a=\"coords * strides + begin\";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${t});\n ${s} strides = ${s}(${e});\n\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${a}));\n }\n `}};function dst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=it({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let A=ze.computeOutShape(b,w,C),$=ni({inputs:{x:o},backend:e,attrs:{begin:b,size:A}});N=it({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else if(e.shouldExecuteOnCPU([o])){let $=e.readSync(o.dataId),F=bt(o.shape,o.dtype,$),P=qL(f,F,C,b);N=e.makeTensorInfo(d,o.dtype,P.values)}else{let $=new nI(b,C,f);N=e.runWebGLProgram($,[o],o.dtype)}let _=it({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),_}var $B={kernelName:Ha,backendName:\"webgl\",kernelFunc:dst};function hst(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=KL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],\"string\",d),e.makeTensorInfo(p.shape,\"int32\",h)]}var DB={kernelName:Gl,backendName:\"webgl\",kernelFunc:hst};function gst(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=jL(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],\"int32\",l),e.makeTensorInfo([m],\"string\",c),e.makeTensorInfo([2],\"int32\",new Int32Array(p))]}var RB={kernelName:Wl,backendName:\"webgl\",kernelFunc:gst};function xst(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(o<=0)throw new Error(\"Number of buckets must be at least 1\");let i=e.readSync(s.dataId),a=XL(i,o);return e.makeTensorInfo(s.shape,\"int32\",a)}var FB={kernelName:Ul,backendName:\"webgl\",kernelFunc:xst};var yst=\"return tan(x);\",bst=wt({opSnippet:yst}),OB={kernelName:Ps,backendName:\"webgl\",kernelFunc:bst};var wst=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,Cst=wt({opSnippet:wst}),PB={kernelName:Ls,backendName:\"webgl\",kernelFunc:Cst};var oI=class{constructor(t,e){this.variableNames=[\"A\"];let n=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${r[0]})`;let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[];for(let o=0;o5){let u=e.readSync(o.dataId),l=o.dtype===\"string\"?u.map(m=>y.decodeString(m)):u,c=bt(o.shape,o.dtype,l),p=ZL(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new oI(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var LB={kernelName:Qn,backendName:\"webgl\",kernelFunc:Dk};var sI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},iI=class{constructor(t){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=t,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function jc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function MB(r){let t=1;for(;tu){let P=e.readSync(o.dataId),[V,G]=JL(P,l,o.dtype,s,i);return[e.makeTensorInfo(V.shape,V.dtype,V.values),e.makeTensorInfo(G.shape,G.dtype,G.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,\"int32\",[])];if(c===1)return[o,Sl({attrs:{shape:l,dtype:\"int32\",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=y.sizeFromShape(l)/c,g=it({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&jc(e,f);let x=MB(s),b=MB(c),w=null,C=()=>w===null?[g,g]:[g,w],N=(P,V,G)=>{let W=C(),q=new sI(G),K=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[P],[V]],X=w;w=e.runWebGLProgram(q,W,\"int32\",K),jc(e,X)};for(let P=1;P=1;G/=2)N(V,G,[h,b])}for(let P=b;P>x;P/=2){let V=C(),G=new iI([h,P/2]),q=[[c],[w===null?1:0],[x]],H=w;w=e.runWebGLProgram(G,V,\"int32\",q),jc(e,H);let K=x/2,X=K*2;for(let Z=K;Z>=1;Z/=2)N(X,Z,w.shape)}let _=w;w=ni({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),jc(e,_);let A=Nk({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});jc(e,g);let $=l.slice(0,-1);$.push(s),_=w,w=it({inputs:{x:w},attrs:{shape:$},backend:e}),jc(e,_);let F=A;return A=it({inputs:{x:A},attrs:{shape:$},backend:e}),jc(e,F),[A,w]}var zB={kernelName:qa,backendName:\"webgl\",kernelFunc:vst};var aI=class{constructor(t,e,n,o,s,i){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=i;let a=n===\"nearest\"?1:2,u;switch(o){case\"constant\":u=1;break;case\"reflect\":u=2;break;case\"wrap\":u=3;break;case\"nearest\":u=4;break;default:u=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${u} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${u} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${t} && 0 <= coordX && coordX < ${e}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${e}));\n float mapY = mapCoord(inY, float(${t}));\n\n if (${a} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function Sst(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new aI(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],\"float32\")}var BB={kernelName:Ka,backendName:\"webgl\",kernelFunc:Sst};function Nst(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;ti(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=QL(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],\"int32\",l)]}var VB={kernelName:zp,backendName:\"webgl\",kernelFunc:Nst};function Tst(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;he.disposeIntermediateTensorInfo(h)),d}var GB={kernelName:Ci,backendName:\"webgl\",kernelFunc:Tst};var lI=class{constructor(t,e){this.variableNames=[\"x\",\"segmentIds\"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u=\"0.0\",l=\"sumValue\",c=Math.floor(n/4)*4,p=n%4,m=`\n sumValue += dot(values, segFilter);\n `,f=\"\";s%n>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let d=\"\";s%n>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${u};\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${d}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${i})) * float(${n}));\n int currentSeg = int(mod(float(outIdx), float(${i})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${p===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${l});\n }\n `}};function kst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=it({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Bu(o.dtype),g=(C,N,_,A,$)=>{let F=C.shape[0],P=C.shape[1],V=S.segment_util.segOpComputeOptimalWindowSize(P,$),G={windowSize:V,inSize:P,batchSize:F,numSegments:$},W=new lI(G,N),q=e.compileAndRun(W,[C,_],A);if(u.push(q),q.shape[1]===$)return q;let H=$k({backend:e,attrs:{start:0,stop:$,step:1,dtype:\"float32\"}}),K=Dk({inputs:{x:H},backend:e,attrs:{reps:[P/V]}});return u.push(H),u.push(K),g(q,N,K,A,$)},x=g(d,\"unsortedSegmentSum\",s,h,i),b=it({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=S.getUndoAxesPermutation(c);w=Pe({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var WB={kernelName:Hl,backendName:\"webgl\",kernelFunc:kst};var Est=[EM,AM,$M,DM,FM,OM,PM,LM,BM,VM,GM,WM,UM,HM,qM,KM,jM,XM,YM,ZM,JM,tz,ez,rz,iz,lz,uz,yM,pz,fz,dz,hz,gz,xz,yz,bz,wz,Cz,Iz,Nz,Tz,kz,Ez,_z,Az,$z,Dz,Rz,Fz,Oz,Pz,Lz,Mz,zz,Bz,Gz,Wz,Uz,Hz,Kz,jz,Xz,Yz,Zz,Jz,Qz,t3,e3,xM,r3,mz,n3,o3,s3,bM,i3,a3,l3,u3,c3,p3,m3,f3,d3,h3,x3,y3,b3,w3,C3,I3,S3,T3,k3,E3,_3,A3,O3,IM,P3,L3,M3,z3,nz,B3,W3,U3,H3,q3,wM,K3,j3,X3,Y3,Z3,oz,$3,J3,Q3,tB,SM,eB,rB,nB,oB,sB,iB,aB,lB,uB,cB,pB,mB,fB,dB,hB,gB,QM,F3,xB,yB,bB,wB,CB,IB,vB,SB,TB,kB,_B,AB,$B,DB,RB,FB,R3,TM,OB,PB,LB,zB,BB,kM,VB,GB,WB,V3];for(let r of Est)Fu(r);var Kt;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(Kt||(Kt={}));var ku;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})(ku||(ku={}));var UB;function _st(r){UB=r.wasm.cwrap(vi,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ast(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $=e.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);d=$.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=ku[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),N=e.dataIdMap.get(C.dataId).id,_=new Uint8Array(new Int32Array(o.shape).buffer),A=new Uint8Array(new Int32Array(s.shape).buffer);return UB(m,_,o.shape.length,f,A,s.shape.length,u,l,g,d,h,p||0,N),C}var HB={kernelName:vi,backendName:\"wasm\",setupFunc:_st,kernelFunc:Ast};function te(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(u,Kt[a.dtype],c),l}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:o}}var qB=te(li);function le(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId).id;return(()=>n(p,g,l.shape.length,m,x,c.shape.length,Kt[l.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:s}}var $st=!0,KB=le(Jn,$st);var jB;function Dst(r){jB=r.wasm.cwrap(Vo,null,[\"array\",\"number\",\"number\",\"number\"])}function Rst(r){let{inputs:t,backend:e}=r,n=e.makeOutput(t[0].shape,t[0].dtype);if(y.sizeFromShape(n.shape)===0)return n;let o=t.map(a=>e.dataIdMap.get(a.dataId).id),s=new Uint8Array(new Int32Array(o).buffer),i=e.dataIdMap.get(n.dataId).id;return jB(s,o.length,Kt[n.dtype],i),n}var XB={kernelName:Vo,backendName:\"wasm\",setupFunc:Dst,kernelFunc:Rst};function Xc(r){let{inputs:{x:t},backend:e}=r;if(t.dtype===\"string\")return or(e.readSync(t.dataId),t.shape,t.dtype);let n=e.makeOutput(t.shape,t.dtype),o=e.typedArrayFromHeap(t);return e.typedArrayFromHeap(n).set(o),n}var YB={kernelName:po,backendName:\"wasm\",kernelFunc:Xc};var ZB;function Fst(r){ZB=r.wasm.cwrap(to,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function lo(r){let{inputs:t,backend:e,attrs:n}=r,[o,s]=Pst(t.x.shape,n.perm),i=!0;for(let d=0;d=o&&(s===-1||n[s]>n[i])&&(s=i);n[s]=o}return[e,n]}var JB={kernelName:to,backendName:\"wasm\",kernelFunc:lo,setupFunc:Fst};function Cn(r,t,e){let n=r.shape,o=r.shape.length,s=y.parseAxisParam(t,n),i=s,a=S.getAxesPermutation(i,o),u=null,l=!1;if(a!=null){let c=new Array(o);for(let f=0;f`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var aV={kernelName:gi,backendName:\"wasm\",kernelFunc:cr};var lV;function Hst(r){lV=r.wasm.cwrap(Uo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function qst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;if(o.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let u=o.shape.length,l=s.shape.length,c=i?o.shape[u-2]:o.shape[u-1],p=a?s.shape[l-1]:s.shape[l-2],m=i?o.shape[u-1]:o.shape[u-2],f=a?s.shape[l-2]:s.shape[l-1],d=o.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(d),x=y.sizeFromShape(h),w=Wr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,f]);y.assert(c===p,()=>`Error in matMul: inner shapes (${c}) and (${p}) of Tensors with shapes ${o.shape} and ${s.shape} and transposeA=${i} and transposeB=${a} must match.`);let C=i?[g,c,m]:[g,m,c],N=a?[x,f,p]:[x,p,f],_=cr({inputs:{x:o},backend:e,attrs:{shape:C}}),A=cr({inputs:{x:s},backend:e,attrs:{shape:N}}),$=e.dataIdMap.get(_.dataId).id,F=e.dataIdMap.get(A.dataId).id,P=i?_.shape[2]:_.shape[1],V=a?A.shape[1]:A.shape[2],G=Math.max(g,x),W=e.makeOutput([G,P,V],_.dtype),q=e.dataIdMap.get(W.dataId).id,H=new Uint8Array(new Int32Array(_.shape).buffer),K=new Uint8Array(new Int32Array(A.shape).buffer);return lV($,H,_.shape.length,F,K,A.shape.length,i,a,q),e.disposeData(_.dataId),e.disposeData(A.dataId),W.shape=w,W}var uV={kernelName:Uo,backendName:\"wasm\",setupFunc:Hst,kernelFunc:qst};function Lo(r){let{inputs:{x:t},attrs:{begin:e,size:n},backend:o}=r,[s,i]=ze.parseSliceParams(t,e,n),a=ze.isSliceContinous(t.shape,s,i),u=o.readSync(t.dataId),l=o.makeOutput(i,t.dtype),c=y.computeStrides(t.shape),p=o.dataIdMap.get(l.dataId);if(a){let d=ze.computeFlatOffset(s,c);return t.dtype===\"string\"?p.stringBytes=u.slice(d,d+y.sizeFromShape(i)):o.typedArrayFromHeap(l).set(u.subarray(d,d+y.sizeFromShape(i))),l}if(t.dtype===\"string\"){let d=Rc(u,s,i,t.shape,t.dtype);return p.stringBytes=d,l}let m=o.typedArrayFromHeap(l),f=t.shape.length;if(f===2)Kst(u,c[0],m,s,i);else if(f===3)jst(u,c[0],c[1],m,s,i);else if(f===4)Xst(u,c[0],c[1],c[2],m,s,i);else{let d=Rc(u,s,i,t.shape,t.dtype);m.set(d)}return l}function Kst(r,t,e,n,o){let s=0,i=n[0],a=n[1],u=i+o[0];for(let l=i;lx*b),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=cr({inputs:{x:o},backend:e,attrs:{shape:u}}),d=lo({inputs:{x:f},backend:e,attrs:{perm:l}}),h=cr({inputs:{x:d},backend:e,attrs:{shape:c}}),g=Lo({inputs:{x:h},backend:e,attrs:{begin:p,size:m}});return e.disposeData(f.dataId),e.disposeData(d.dataId),e.disposeData(f.dataId),g}var pV={kernelName:ui,backendName:\"wasm\",kernelFunc:Yst};function oi(r){let{inputs:{x:t},attrs:{dtype:e},backend:n}=r,o=n.makeOutput(t.shape,e),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(o).set(s),o}var mV={kernelName:uo,backendName:\"wasm\",kernelFunc:oi};var fV=te(Ho);var dV;function Zst(r){dV=r.wasm.cwrap(co,null,[\"number\",\"number\",\"number\",\"number\"])}function Jst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a=e.dataIdMap.get(o.dataId).id,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(u.dataId).id;return dV(a,s,i,l),u}var hV={kernelName:co,backendName:\"wasm\",setupFunc:Zst,kernelFunc:Jst};function Rk(r){let{inputs:t,backend:e}=r,n=y.parseAxisParam(r.attrs.axis,t[0].shape)[0],o=t.map(f=>f.shape);S.assertParamsConsistent(o,n);let s=S.computeOutShape(t.map(f=>f.shape),n),i=t.filter(f=>y.sizeFromShape(f.shape)>0);if(i.length===1)return Xc({inputs:{x:i[0]},backend:e});let a=e.makeOutput(s,t[0].dtype);if(y.sizeFromShape(s)===0)return a;if(i[0].dtype===\"string\"){let f=i.map(w=>{let N=[-1,y.sizeFromShape(w.shape.slice(n))];return cr({inputs:{x:w},backend:e,attrs:{shape:N}})}),d=f.map(w=>({vals:e.readSync(w.dataId),shape:w.shape}));s=S.computeOutShape(f.map(w=>w.shape),1);let h=f[0].shape[0]===1,g=Ac(d,s,t[0].dtype,h),x=S.computeOutShape(i.map(w=>w.shape),n);a.shape=x;let b=e.dataIdMap.get(a.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),f.forEach(w=>e.disposeData(w.dataId)),a}let u=y.sizeFromShape(i[0].shape.slice(0,n)),l=0,c=i.map(f=>{let d=y.sizeFromShape(f.shape.slice(n));return l+=d,d}),p=i.map(f=>e.typedArrayFromHeap(f)),m=e.typedArrayFromHeap(a);for(let f=0;f`cumprod does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=lo({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumprod\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;NV(d,i?1:0,a?1:0,f,h,Kt[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=lo({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var TV={kernelName:xa,backendName:\"wasm\",setupFunc:sit,kernelFunc:iit};var kV;function ait(r){kV=r.wasm.cwrap(Yo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function lit(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length;y.assert(o.dtype===\"float32\"||o.dtype===\"int32\",()=>`cumsum does not support ${o.dtype} tensors in the WASM backend`);let l=S.getAxesPermutation([s],u),c=o;l!==null&&(c=lo({inputs:{x:o},attrs:{perm:l},backend:e}));let p=S.getInnerMostAxes(1,u)[0];S.assertAxesAreInnerMostDims(\"cumsum\",[p],u);let m=e.makeOutput(c.shape,c.dtype),f=c.shape[p],d=e.dataIdMap.get(c.dataId).id,h=e.dataIdMap.get(m.dataId).id;kV(d,i?1:0,a?1:0,f,h,Kt[o.dtype]);let g=m;if(l!==null){let x=S.getUndoAxesPermutation(l);g=lo({inputs:{x:m},attrs:{perm:x},backend:e}),e.disposeData(c.dataId),e.disposeData(m.dataId)}return g}var EV={kernelName:Yo,backendName:\"wasm\",setupFunc:ait,kernelFunc:lit};var _V;function uit(r){_V=r.wasm.cwrap(ba,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function cit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i===\"NHWC\"?o.shape[1]:o.shape[2],l=i===\"NHWC\"?o.shape[2]:o.shape[3],c=i===\"NHWC\"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i===\"NHWC\"?[a,p,m,f]:[a,f,p,m],h=t.makeOutput(d,\"float32\"),x=t.dataIdMap.get(o.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),w=new Uint8Array(new Int32Array(d).buffer),C=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),N=t.dataIdMap.get(h.dataId).id;return _V(x,s,i===\"NHWC\"?1:0,b,o.shape.length-1,w,C,d.length,N),h}var AV={kernelName:ba,backendName:\"wasm\",setupFunc:uit,kernelFunc:cit};var $V;function pit(r){$V=r.wasm.cwrap(Zo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function mit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s}=t,i=n.dataIdMap.get(o.dataId).id,a=n.dataIdMap.get(s.dataId).id,{strides:u,dilations:l,pad:c,dimRoundingMode:p}=e,m=l==null?[1,1]:l,f=S.computeConv2DInfo(o.shape,s.shape,u,m,c,p,!0),d=f.filterHeight,h=f.filterWidth,g=f.padInfo.top,x=f.padInfo.right,b=f.padInfo.bottom,w=f.padInfo.left,C=f.dilationHeight,N=f.dilationWidth,_=f.strideHeight,A=f.strideWidth,$=f.inChannels,F=f.outChannels,P=f.padInfo.type===\"SAME\"?1:0;if(f.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`);let V=n.makeOutput(f.outShape,\"float32\"),G=n.dataIdMap.get(V.dataId).id;return $V(i,o.shape[0],o.shape[1],o.shape[2],a,d,h,g,x,b,w,P,C,N,_,A,$,F,G),V}var DV={kernelName:Zo,backendName:\"wasm\",setupFunc:pit,kernelFunc:mit};var RV=te(Qo);var fit=!1,FV=le(Ca,fit,\"bool\");var OV=te(ts,\"float32\");function uI(r){let{inputs:t,attrs:e,backend:n}=r,{input:o}=t,{dim:s}=e,i=o.shape.length,a=o.shape.slice(),u=s;return s<0&&(y.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+s+1),a.splice(u,0,1),cr({inputs:{x:o},backend:n,attrs:{shape:a}})}var PV={kernelName:pi,backendName:\"wasm\",kernelFunc:uI};function Ok(r){let{attrs:{shape:t,value:e,dtype:n},backend:o}=r,s=o.makeOutput(t,n);return o.typedArrayFromHeap(s).fill(e),s}var LV={kernelName:Fl,backendName:\"wasm\",kernelFunc:Ok};var MV;function dit(r){MV=r.wasm.cwrap(va,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function hit(r){let{inputs:t,backend:e}=r,{image:n}=t,o=e.makeOutput(n.shape,n.dtype),s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,[a,u,l,c]=n.shape;return MV(s,a,u,l,c,i),o}var zV={kernelName:va,backendName:\"wasm\",kernelFunc:hit,setupFunc:dit};var BV=te(es);var git=!1,VV=le(rs,git);var GV;function xit(r){GV=r.wasm.cwrap(ns,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function yit(r){let{backend:t,inputs:e,attrs:n}=r,{varianceEpsilon:o}=n,{x:s,mean:i,variance:a,offset:u,scale:l}=e,c=t.dataIdMap.get(s.dataId).id,p=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(a.dataId).id,f=u!=null?t.dataIdMap.get(u.dataId).id:0,d=l!=null?t.dataIdMap.get(l.dataId).id:0,h=t.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=t.dataIdMap.get(h.dataId).id;return GV(c,p,m,f,d,o,g),h}var WV={kernelName:ns,backendName:\"wasm\",setupFunc:xit,kernelFunc:yit};var UV;function bit(r){UV=r.wasm.cwrap(Si,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function wit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m),g=ku[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,K=h.padInfo.type===\"SAME\"?1:0,X=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return UV(x,X,Z,et,b,N,_,C,A,$,F,P,K,V,G,W,q,H,w,g,at,d||0,ot),rt}var HV={kernelName:Si,backendName:\"wasm\",setupFunc:bit,kernelFunc:wit};var qV;function Cit(r){qV=r.wasm.cwrap(Ni,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Iit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dataFormat:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=e,h=S.computeConv2DInfo(o.shape,s.shape,u,c,l,m,!0),g=ku[f];if(g==null)throw new Error(`${f} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=n.dataIdMap.get(o.dataId).id,b=n.dataIdMap.get(s.dataId).id,w=h.outChannels,C=0;if(i!=null){let nt=n.dataIdMap.get(i.dataId);if(nt.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${nt.shape.length}.`);if(nt.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${nt.shape}) does not match the number of output channels (${w})`);C=nt.id}let N=h.filterHeight,_=h.filterWidth,A=h.padInfo.top,$=h.padInfo.right,F=h.padInfo.bottom,P=h.padInfo.left,V=h.dilationHeight,G=h.dilationWidth,W=h.strideHeight,q=h.strideWidth,H=h.inChannels,K=h.padInfo.type===\"SAME\"?1:0,X=h.batchSize,Z=h.inHeight,et=h.inWidth;if(p!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${p}'. Please use 'NHWC'.`);let rt=n.makeOutput(h.outShape,\"float32\"),ot=n.dataIdMap.get(rt.dataId).id,at=a==null?0:n.dataIdMap.get(a.dataId).id;return qV(x,X,Z,et,b,N,_,C,A,$,F,P,K,V,G,W,q,H,w,g,at,d||0,ot),rt}var KV={kernelName:Ni,backendName:\"wasm\",setupFunc:Cit,kernelFunc:Iit};var jV;function vit(r){jV=r.wasm.cwrap(Sa,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Sit(r){let{backend:t,inputs:e}=r,{params:n,indices:o}=e,[s,i,a,u]=xy.prepareAndValidate(n,o),l=t.makeOutput(s,n.dtype);if(i===0)return l;let c=o.shape,p=c[c.length-1],f=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(o.dataId).id,g=new Uint8Array(new Int32Array(u).buffer),x=t.dataIdMap.get(l.dataId).id;return jV(f,Kt[n.dtype],h,i,p,a,g,x),l}var XV={kernelName:Sa,backendName:\"wasm\",setupFunc:vit,kernelFunc:Sit};var YV;function Nit(r){YV=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Tit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o,indices:s}=e,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0],l=t.readSync(s.dataId),c=o.shape[u];for(let F=0;F=0,()=>`GatherV2: the index value ${P} is not in [0, ${c-1}]`)}let p=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),m=cr({inputs:{x:o},attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]},backend:t}),f=y.sizeFromShape(s.shape),d=cr({inputs:{x:s},attrs:{shape:[p.batchSize,f/p.batchSize]},backend:t}),h=[p.batchSize,p.outerSize,f/p.batchSize,p.sliceSize],g=t.makeOutput(h,o.dtype);if(y.sizeFromShape(o.shape)===0)return g;let x=m.shape.length-1,w=t.dataIdMap.get(m.dataId).id,N=t.dataIdMap.get(d.dataId).id,_=t.dataIdMap.get(g.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),$=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return YV(w,Kt[o.dtype],A,x,N,p.batchSize,$,_),t.disposeData(m.dataId),t.disposeData(d.dataId),g.shape=p.outputShape,g}var ZV={kernelName:mi,backendName:\"wasm\",setupFunc:Nit,kernelFunc:Tit};var kit=!1,JV=le(Na,kit,\"bool\");var Eit=!1,QV=le(os,Eit,\"bool\");var tG=te(ss,\"bool\");var eG;function _it(r){eG=r.wasm.cwrap(is,null,[\"number\",\"number\",\"number\",\"number\"])}function Ait(r){let{inputs:{x:t},attrs:{alpha:e},backend:n}=r,o=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,\"float32\");if(y.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;eG(o,Kt[t.dtype],e,i)}return s}var rG={kernelName:is,backendName:\"wasm\",setupFunc:_it,kernelFunc:Ait};var $it=!1,nG=le(Ea,$it,\"bool\");var Dit=!1,oG=le(_a,Dit,\"bool\");var sG=te(as);var Rit=!1,iG=le($a,Rit,\"bool\");var aG=te(Da);var Fit=!1,lG=le(Ra,Fit,\"bool\");var Oit=!1,uG=le(m1,Oit,\"bool\");var cG;function Pit(r){cG=r.wasm.cwrap(ls,null,[\"number\",\"number\",\"number\",\"number\"])}function Lit(r){let{backend:t,inputs:e,attrs:n}=r,{reductionIndices:o,keepDims:s}=n,{x:i}=e,u=t.dataIdMap.get(i.dataId).id,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;l=c,u=w}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"max\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,i.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;cG(u,Kt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var pG={kernelName:ls,backendName:\"wasm\",setupFunc:Pit,kernelFunc:Lit};var Mit=!1,mG=le(us,Mit);var fG;function zit(r){fG=r.wasm.cwrap(cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Bit(r){let{inputs:t,attrs:e,backend:n}=r,o=t.x,s=n.dataIdMap.get(o.dataId).id;y.assert(o.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${o.dtype}.`);let{filterSize:i,strides:a,pad:u,dimRoundingMode:l}=e,c=S.computePool2DInfo(o.shape,i,a,1,u,l),p=c.filterHeight,m=c.filterWidth,f=c.padInfo.top,d=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,C=c.strideWidth,N=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let A=n.makeOutput(c.outShape,\"float32\"),$=n.dataIdMap.get(A.dataId).id;return fG(s,o.shape[0],o.shape[1],o.shape[2],p,m,f,d,h,g,x,b,w,C,N,_,$),A}var dG={kernelName:cs,backendName:\"wasm\",setupFunc:zit,kernelFunc:Bit};var hG;function Vit(r){hG=r.wasm.cwrap(ps,null,[\"number, number, number\"])}function Git(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let C=t.dataIdMap.get(c.dataId).id;C!==a&&(l=c,u=C,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"mean\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=l;l.dtype!==\"float32\"&&(b=oi({backend:t,inputs:{x:l},attrs:{dtype:\"float32\"}}),u=t.dataIdMap.get(b.dataId).id);let w=t.makeOutput(h,\"float32\");if(y.sizeFromShape(l.shape)!==0){let C=t.dataIdMap.get(w.dataId).id;hG(u,x,C)}if(f&&t.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(w.shape,m);w.shape=C}return l.dtype!==\"float32\"&&t.disposeData(b.dataId),w}var gG={kernelName:ps,backendName:\"wasm\",setupFunc:Vit,kernelFunc:Git};var xG;function Wit(r){xG=r.wasm.cwrap(ms,null,[\"number\",\"number\",\"number\",\"number\"])}function Uit(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t);if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w)}let d=l.shape.length;S.assertAxesAreInnerMostDims(\"min\",p,d);let[h,g]=S.computeOutAndReduceShapes(l.shape,p),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;xG(u,Kt[i.dtype],x,w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var yG={kernelName:ms,backendName:\"wasm\",setupFunc:Wit,kernelFunc:Uit};var Hit=!1,bG=le(fs,Hit);var Pk;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(Pk||(Pk={}));var wG;function qit(r){wG=r.wasm.cwrap(ds,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Kit(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,mode:o}}=r,s=n.map((d,h)=>d[0]+t.shape[h]+d[1]),i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),u=e.dataIdMap.get(a.dataId).id,l=new Uint8Array(new Int32Array(t.shape).buffer),c=n.map(d=>d[0]),p=n.map(d=>d[1]),m=new Uint8Array(new Int32Array(c).buffer),f=new Uint8Array(new Int32Array(p).buffer);return wG(i,l,t.shape.length,Kt[t.dtype],m,f,Pk[o],u),a}var CG={kernelName:ds,backendName:\"wasm\",kernelFunc:Kit,setupFunc:qit};var jit=!0,IG=le(hs,jit);var vG=te(fi);function Fd(r,t){let e=new Int32Array(r.wasm.HEAPU8.buffer,t,4),n=e[0],o=e[1],s=e[2],i=e[3];return r.wasm._free(t),{pSelectedIndices:n,selectedSize:o,pSelectedScores:s,pValidOutputs:i}}var SG;function Xit(r){SG=r.wasm.cwrap(Pa,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Yit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i}=n,{boxes:a,scores:u}=e,l=t.dataIdMap.get(a.dataId).id,c=t.dataIdMap.get(u.dataId).id,p=SG(l,c,s,o,i),{pSelectedIndices:m,selectedSize:f,pSelectedScores:d,pValidOutputs:h}=Fd(t,p);return t.wasm._free(d),t.wasm._free(h),t.makeOutput([f],\"int32\",m)}var NG={kernelName:Pa,backendName:\"wasm\",setupFunc:Xit,kernelFunc:Yit};var TG;function Zit(r){TG=r.wasm.cwrap(La,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function Jit(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=TG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Fd(t,m);t.wasm._free(h);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([],\"int32\",g);return[x,b]}var kG={kernelName:La,backendName:\"wasm\",setupFunc:Zit,kernelFunc:Jit};var EG;function Qit(r){EG=r.wasm.cwrap(Ma,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function tat(r){let{backend:t,inputs:e,attrs:n}=r,{iouThreshold:o,maxOutputSize:s,scoreThreshold:i,softNmsSigma:a}=n,{boxes:u,scores:l}=e,c=t.dataIdMap.get(u.dataId).id,p=t.dataIdMap.get(l.dataId).id,m=EG(c,p,s,o,i,a),{pSelectedIndices:f,selectedSize:d,pSelectedScores:h,pValidOutputs:g}=Fd(t,m);t.wasm._free(g);let x=t.makeOutput([d],\"int32\",f),b=t.makeOutput([d],\"float32\",h);return[x,b]}var _G={kernelName:Ma,backendName:\"wasm\",setupFunc:Qit,kernelFunc:tat};var eat=!1,AG=le(Oa,eat,\"bool\");var $G;function rat(r){$G=r.wasm.cwrap(gs,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function nat(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=e.makeOutput([...o.shape,i],s),c=e.dataIdMap.get(l.dataId).id,m=e.dataIdMap.get(o.dataId).id;return $G(m,i,a,u,c),l}var DG={kernelName:gs,backendName:\"wasm\",setupFunc:rat,kernelFunc:nat};function oat(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(1),n}var RG={kernelName:di,backendName:\"wasm\",kernelFunc:oat};function sat(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return uI({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(i===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let a=[],u=t.map(c=>{let p=uI({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Rk({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeData(c.dataId)),l}var FG={kernelName:hi,backendName:\"wasm\",kernelFunc:sat};var OG;function iat(r){OG=r.wasm.cwrap(xs,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function aat(r){let{inputs:{x:t},backend:e,attrs:{paddings:n,constantValue:o}}=r,s=n.map((h,g)=>h[0]+t.shape[g]+h[1]);if(y.sizeFromShape(t.shape)===0)return Ok({backend:e,attrs:{shape:s,value:o,dtype:t.dtype}});let i=e.dataIdMap.get(t.dataId).id,a=e.makeOutput(s,t.dtype),l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(h=>h[0]),m=n.map(h=>h[1]),f=new Uint8Array(new Int32Array(p).buffer),d=new Uint8Array(new Int32Array(m).buffer);return OG(i,c,t.shape.length,Kt[t.dtype],f,d,o,l),a}var cI={kernelName:xs,backendName:\"wasm\",kernelFunc:aat,setupFunc:iat};var lat=!1,PG=le(ys,lat);var LG;function uat(r){LG=r.wasm.cwrap(bs,null,[\"number\",\"number\",\"number\"])}function cat(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=e.dataIdMap.get(n.dataId).id,i=e.dataIdMap.get(o.dataId).id,a=s,u=n,l=u;u.dtype!==\"float32\"&&(l=oi({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),a=e.dataIdMap.get(l.dataId).id);let c=e.makeOutput(n.shape,\"float32\"),p=e.dataIdMap.get(c.dataId).id;return LG(a,i,p),u.dtype!==\"float32\"&&e.disposeData(l.dataId),c}var MG={kernelName:bs,backendName:\"wasm\",setupFunc:uat,kernelFunc:cat};var zG;function pat(r){zG=r.wasm.cwrap(ws,null,[\"number\",\"number\",\"number\",\"number\"])}function mat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"prod\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;zG(u,x,Kt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var BG={kernelName:ws,backendName:\"wasm\",setupFunc:pat,kernelFunc:mat};var fat=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=Dc(n,o,s,i),u=t.makeOutput([a.length],i);return t.typedArrayFromHeap(u).set(a),u},VG={kernelName:Ll,backendName:\"wasm\",kernelFunc:fat};var dat=!0,GG=le(Jo,dat);var WG=te(Cs);var UG=te(Is);var HG=te(Ns);var qG;function hat(r){qG=r.wasm.cwrap(Ss,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function gat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.dataIdMap.get(o.dataId),g;h.dtype!==\"float32\"&&(g=oi({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),h=t.dataIdMap.get(g.dataId));let x=h.id,b=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return b;let w=t.dataIdMap.get(b.dataId).id;return qG(x,c,p,m,f,u,l,s?1:0,i?1:0,w),g!=null&&t.disposeData(g.dataId),b}var KG={kernelName:Ss,backendName:\"wasm\",setupFunc:hat,kernelFunc:gat};var jG;function xat(r){jG=r.wasm.cwrap(vs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function yat(r){let{backend:t,inputs:e,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,[c,p,m,f]=o.shape,d=[c,u,l,f],h=t.makeOutput(d,\"float32\");if(y.sizeFromShape(o.shape)===0)return h;let g=t.dataIdMap.get(o.dataId),x;g.dtype!==\"float32\"&&(x=oi({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),g=t.dataIdMap.get(x.dataId));let b=g.id,w=t.dataIdMap.get(h.dataId).id;return jG(b,c,p,m,f,u,l,s?1:0,i?1:0,w),x!=null&&t.disposeData(x.dataId),h}var XG={kernelName:vs,backendName:\"wasm\",setupFunc:xat,kernelFunc:yat};var YG;function bat(r){YG=r.wasm.cwrap(Ts,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function wat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=y.parseAxisParam(s,o.shape);if(o.shape.length===0)return Xc({inputs:{x:o},backend:e});let a=e.makeOutput(o.shape,o.dtype),u=e.dataIdMap.get(o.dataId).id,l=e.dataIdMap.get(a.dataId).id,c=new Uint8Array(new Int32Array(i).buffer),p=new Uint8Array(new Int32Array(o.shape).buffer);YG(u,c,i.length,p,o.shape.length,l);let m=cr({inputs:{x:a},attrs:{shape:o.shape},backend:e});return e.disposeData(a.dataId),m}var ZG={kernelName:Ts,backendName:\"wasm\",kernelFunc:wat,setupFunc:bat};var JG;function Cat(r){JG=r.wasm.cwrap(ja,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Iat(r){let{inputs:t,backend:e,attrs:n}=r,{image:o}=t,{radians:s,fillValue:i,center:a}=n,u=e.makeOutput(o.shape,o.dtype),l=e.dataIdMap.get(o.dataId).id,c=e.dataIdMap.get(u.dataId).id,[p,m,f,d]=o.shape,[h,g]=S.getImageCenter(a,m,f),x=i===0,b=255,w=typeof i==\"number\"?[i,i,i,x?0:b]:[...i,b],C=new Uint8Array(new Int32Array(w).buffer);return JG(l,p,m,f,d,s,h,g,C,w.length,c),u}var QG={kernelName:ja,backendName:\"wasm\",kernelFunc:Iat,setupFunc:Cat};var tW=te(ks);var eW=te(Es);var rW;function vat(r){rW=r.wasm.cwrap(za,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Sat(r){let{backend:t,inputs:e,attrs:n}=r,{indices:o,updates:s}=e,{shape:i}=n,a=t.makeOutput(i,s.dtype);if(y.sizeFromShape(i)===0)return a;let{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=mh.calculateShapes(s,o,i),d=t.dataIdMap.get(o.dataId).id,g=t.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(p).buffer),b=t.dataIdMap.get(a.dataId).id;return rW(d,g,Kt[s.dtype],u,l,c,x,m,b),a}var nW={kernelName:za,backendName:\"wasm\",setupFunc:vat,kernelFunc:Sat};var oW;function Nat(r){oW=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Tat(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=e.dataIdMap.get(n.dataId).id,a=e.dataIdMap.get(o.dataId).id,u=e.dataIdMap.get(s.dataId).id,l=e.makeOutput(o.shape,o.dtype),c=e.dataIdMap.get(l.dataId).id,p=n.shape.length,m=o.shape.length,f=p===0||p>1||m===1?1:y.sizeFromShape(o.shape.slice(1));return oW(i,a,u,f,c),l}var sW={kernelName:xi,backendName:\"wasm\",kernelFunc:Tat,setupFunc:Nat};var iW;function kat(r){iW=r.wasm.cwrap(As,null,[\"number\",\"number\"])}function Eat(r){let{backend:t,inputs:{x:e}}=r,n=t.dataIdMap.get(e.dataId).id,o=t.makeOutput(e.shape,e.dtype),s=t.dataIdMap.get(o.dataId).id;return y.sizeFromShape(o.shape)===0||iW(n,s),o}var aW={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:kat,kernelFunc:Eat};var lW=te(_s);var uW;function _at(r){uW=r.wasm.cwrap(Rs,null,[\"number\",\"number\",\"number\",\"number\"])}function Aat(r){let{backend:t,inputs:{logits:e},attrs:{dim:n}}=r,o=t.dataIdMap.get(e.dataId).id,s=t.makeOutput(e.shape,e.dtype),i=t.dataIdMap.get(s.dataId).id,a=e.shape[n],u=y.sizeFromShape(e.shape)/a;return y.sizeFromShape(s.shape)===0||uW(o,i,a,u),s}var cW={kernelName:Rs,backendName:\"wasm\",setupFunc:_at,kernelFunc:Aat};function $at(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n,a=y.sizeFromShape(s),u=[[0,0]];u.push(...i);for(let _=1+s.length;_0?u+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,x=e.makeOutput([4],\"int32\"),b=e.dataIdMap.get(x.dataId).id;gW(m,Kt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=\"\"}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function Pat(r){return mI(r,!0)}var xW={kernelName:zl,backendName:\"wasm\",setupFunc:pI,kernelFunc:Pat};function Lat(r){return mI(r,!1)}var yW={kernelName:Bl,backendName:\"wasm\",setupFunc:pI,kernelFunc:Lat};function Mat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Lo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var bW={kernelName:wi,backendName:\"wasm\",kernelFunc:Mat};var wW=te($s);var CW=te(Vl);var zat=!0,IW=le(Fs,zat);var vW;function Bat(r){vW=r.wasm.cwrap(mo,null,[\"number\",\"number\",\"number\",\"number\"])}function Vat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return vW(i,o,Kt[s.dtype],u),a}var SW={kernelName:mo,backendName:\"wasm\",setupFunc:Bat,kernelFunc:Vat};var NW;function Gat(r){NW=r.wasm.cwrap(Ha,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function Wat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=ze.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=cr({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let _=ze.computeOutShape(b,w,C),A=Lo({inputs:{x:o},backend:t,attrs:{begin:b,size:_}});N=cr({inputs:{x:A},backend:t,attrs:{shape:d}}),t.disposeData(A.dataId)}else{let _=t.makeOutput(f,\"float32\"),A=t.dataIdMap.get(o.dataId).id,$=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),F=new Uint8Array(new Int32Array(b).buffer),P=new Uint8Array(new Int32Array(w).buffer),V=new Uint8Array(new Int32Array(C).buffer),G=new Uint8Array(new Int32Array(f).buffer),W=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),q=t.dataIdMap.get(_.dataId).id;NW(A,$,o.shape.length,F,P,V,G,W,f.length,q),N=cr({inputs:{x:_},backend:t,attrs:{shape:d}}),t.disposeData(_.dataId)}return N}var TW={kernelName:Ha,backendName:\"wasm\",setupFunc:Gat,kernelFunc:Wat};function Uat(r){let{backend:t,inputs:e,attrs:n}=r,{data:o,dataSplits:s}=e,{separator:i,nGramWidths:a,leftPad:u,rightPad:l,padWidth:c,preserveShortSequences:p}=n,m=t.readSync(o.dataId),f=t.readSync(s.dataId),[d,h]=Fc(m,f,i,a,u,l,c,p),g=t.makeOutput([d.length],\"string\"),x=t.dataIdMap.get(g.dataId);x.stringBytes=d;let b=t.makeOutput(s.shape,\"int32\");return t.typedArrayFromHeap(b).set(h),[g,b]}var kW={kernelName:Gl,backendName:\"wasm\",kernelFunc:Uat};function Hat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o,delimiter:s}=e,{skipEmpty:i}=n,a=t.readSync(o.dataId),u=t.readSync(s.dataId),[l,c,p]=Oc(a,u[0],i),m=c.length,f=t.makeOutput([m,2],\"int32\");t.typedArrayFromHeap(f).set(l);let h=t.makeOutput([m],\"string\"),g=t.dataIdMap.get(h.dataId);g.stringBytes=c;let x=t.makeOutput([2],\"int32\");return t.typedArrayFromHeap(x).set(p),[f,h,x]}var EW={kernelName:Wl,backendName:\"wasm\",kernelFunc:Hat};function qat(r){let{backend:t,inputs:e,attrs:n}=r,{input:o}=e,{numBuckets:s}=n,i=t.readSync(o.dataId),a=Pc(i,s),u=t.makeOutput(o.shape,\"int32\");return t.typedArrayFromHeap(u).set(a),u}var _W={kernelName:Ul,backendName:\"wasm\",kernelFunc:qat};var Kat=!0,AW=le(Os,Kat);var $W;function jat(r){$W=r.wasm.cwrap(Ds,null,[\"number\",\"number\",\"number\",\"number\"])}function Xat(r){let{backend:t,inputs:e,attrs:n}=r,{axis:o,keepDims:s}=n,{x:i}=e,a=t.dataIdMap.get(i.dataId).id,u=a,l=i,{transposed:c,axes:p,originalAxes:m,inputWasTransposed:f}=Cn(i,o,t),d=p;if(f){let w=t.dataIdMap.get(c.dataId).id;w!==a&&(l=c,u=w,d=S.getInnerMostAxes(d.length,l.shape.length))}S.assertAxesAreInnerMostDims(\"sum\",d,l.shape.length);let[h,g]=S.computeOutAndReduceShapes(l.shape,d),x=y.sizeFromShape(g),b=t.makeOutput(h,l.dtype);if(y.sizeFromShape(l.shape)!==0){let w=t.dataIdMap.get(b.dataId).id;$W(u,x,Kt[b.dtype],w)}if(f&&t.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var DW={kernelName:Ds,backendName:\"wasm\",setupFunc:jat,kernelFunc:Xat};var RW=te(Ps);var FW=te(Ls);var OW;function Yat(r){OW=r.wasm.cwrap(Qn,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Zat(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,s=e.dataIdMap.get(o.dataId).id,{reps:i}=n,a=new Array(o.shape.length);for(let m=0;m{let{x:n}=r,{k:o,sorted:s}=e,i=t.dataIdMap.get(n.dataId).id,a=new Uint8Array(new Int32Array(n.shape).buffer),u=n.shape.slice();u[u.length-1]=o;let l=t.makeOutput(u,n.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.makeOutput(u,\"int32\"),m=t.dataIdMap.get(p.dataId).id;return LW(i,a,n.shape.length,Kt[n.dtype],o,s,c,m),[l,p]},MW={kernelName:qa,backendName:\"wasm\",setupFunc:Jat,kernelFunc:Qat};var zW;function tlt(r){zW=r.wasm.cwrap(Ka,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function elt(r){let{backend:t,inputs:e,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],x=new Uint8Array(new Int32Array(y.computeStrides(o.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=t.makeOutput(g,o.dtype),C=t.dataIdMap.get(w.dataId).id,_=t.dataIdMap.get(o.dataId).id,$=t.dataIdMap.get(s.dataId).id,F=i===\"nearest\"?1:2,P;switch(a){case\"constant\":P=1;break;case\"reflect\":P=2;break;case\"wrap\":P=3;break;case\"nearest\":P=4;break;default:P=1;break}return zW(_,$,s.shape[0]>1,c,d,h,f,m,p,x,o.shape.length-1,b,g.length-1,F,P,u,C),w}var BW={kernelName:Ka,backendName:\"wasm\",setupFunc:tlt,kernelFunc:elt};function rlt(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o.shape[s],a=o.shape.length,u=new Array(a-1),l=0;for(let f=0;f({dataId:f,dtype:d,shape:u}))}var VW={kernelName:Ci,backendName:\"wasm\",kernelFunc:rlt};function nlt(r){let{inputs:{x:t},backend:e}=r,n=e.makeOutput(t.shape,t.dtype);return e.typedArrayFromHeap(n).fill(0),n}var GW={kernelName:Ii,backendName:\"wasm\",kernelFunc:nlt};var olt=[HB,qB,KB,XB,tV,rV,oV,iV,uV,pV,mV,fV,hV,gV,yV,wV,CV,IV,SV,TV,EV,AV,DV,RV,FV,OV,PV,LV,zV,BV,VV,WV,HV,KV,XV,ZV,JV,QV,YB,tG,rG,nG,oG,sG,iG,aG,lG,uG,pG,mG,dG,gG,yG,bG,CG,IG,vG,NG,kG,_G,AG,DG,RG,FG,cI,PG,MG,BG,VG,GG,WG,UG,HG,aV,KG,XG,ZG,QG,tW,eW,nW,sW,aW,lW,cV,cW,pW,fW,hW,xW,yW,bW,wW,CW,IW,SW,TW,kW,EW,_W,AW,DW,RW,FW,PW,MW,BW,JB,VW,GW];for(let r of olt)Fu(r);var Lk=M();Lk.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});Lk.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(Lk.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var Uk=El(qW()),JW=El(jW()),Hk=El(XW());var YW=Uk.default||Uk,slt=Hk.default||Hk,pg=class extends zo{constructor(t){super(),this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(tU),Wk=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new ia(this,Ln())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=y.now();return t(),{kernelMs:y.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o===\"string\"){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=y.sizeFromShape(n),u=a*y.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s===\"string\")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||y.sizeFromShape(i);let u=y.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return alt(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(t,e,n){let o;if(n==null)o=this.write(null,t,e);else{let s=this.dataIdNextNumber++;o={id:s},this.dataIdMap.set(o,{id:s,memoryOffset:n,shape:t,dtype:e,refCount:1});let i=y.sizeFromShape(t);this.wasm.tfjs.registerTensor(s,i,n)}return{dataId:o,shape:t,dtype:e}}typedArrayFromHeap({shape:t,dtype:e,dataId:n}){let o=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(n),i=y.sizeFromShape(t);switch(e){case\"float32\":return new Float32Array(o,s,i);case\"int32\":return new Int32Array(o,s,i);case\"bool\":return new Uint8Array(o,s,i);default:throw new Error(`Unknown dtype ${e}`)}}};function ilt(r){return(t,e)=>(y.fetch(r,{credentials:\"same-origin\"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${r}'`),n.arrayBuffer().then(o=>{WebAssembly.instantiate(o,t).then(s=>{e(s.instance,s.module)})})}),{})}function ZW(r,t,e){if(hI!=null)return hI;let n=\"tfjs-backend-wasm.wasm\";return r&&t?n=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(n=\"tfjs-backend-wasm-simd.wasm\"),ug!=null&&ug[n]!=null?ug[n]:e+n}async function QW(){let[r,t]=await Promise.all([M().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),M().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((e,n)=>{let o={};o.locateFile=(a,u)=>{if(a.endsWith(\".worker.js\")){let l=JW.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([l],{type:\"application/javascript\"});return URL.createObjectURL(c)}return a.endsWith(\".wasm\")?ZW(r,t,lg!=null?lg:u):u+a},qk&&(o.instantiateWasm=ilt(ZW(r,t,lg!=null?lg:\"\")));let s=!1;o.onAbort=()=>{if(s||cg)return;cg=!0,n({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let i;t&&r&&hI==null?(o.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+YW.toString()],{type:\"text/javascript\"}),i=YW(o)):i=slt(o),i.then(a=>{s=!0,cg=!1;let u=null;a.tfjs={init:a.cwrap(\"init\",null,[]),initWithThreadsCount:a.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:a.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:a.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:a.cwrap(\"dispose_data\",u,[\"number\"]),dispose:a.cwrap(\"dispose\",u,[])},e({wasm:a})}).catch(n)})}function alt(r,t){switch(t){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${t}`)}}var llt=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],hI=null,lg=null,ug={},cg=!1,qk=!1;function ult(r,t=!1){if(B0(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),cg)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");hI=r,qk=t}function clt(r,t=!1){if(cg)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")lg=r;else{ug=r;let e=llt.filter(n=>ug[n]==null);if(e.length>0)throw new Error(`There were no entries found for the following binaries: ${e.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}qk=t}var tU=-1,Wk=-1;function plt(r){tU=r}function mlt(){if(Wk===-1)throw new Error(\"WASM backend not initialized.\");return Wk}var flt=\"4.2.0\";var dlt=2;Yp(\"wasm\",async()=>{let{wasm:r}=await QW();return new pg(r)},dlt);var eU=\"4.2.0\",hlt=\"4.2.0\",glt=\"4.2.0\",xlt=\"4.2.0\",ylt=\"4.2.0\",blt={tfjs:eU,\"tfjs-core\":eU,\"tfjs-converter\":hlt,\"tfjs-backend-cpu\":glt,\"tfjs-backend-webgl\":xlt,\"tfjs-backend-wasm\":ylt};export{li as Abs,la as Acos,ua as Acosh,ec as AdadeltaOptimizer,rc as AdagradOptimizer,nc as AdamOptimizer,oc as AdamaxOptimizer,Jn as Add,Vo as AddN,ca as All,pa as Any,Go as ArgMax,_l as ArgMin,ma as Asin,fa as Asinh,da as Atan,ga as Atan2,ha as Atanh,Wo as AvgPool,Al as AvgPool3D,up as AvgPool3DGrad,lp as AvgPoolGrad,pg as BackendWasm,Uo as BatchMatMul,ui as BatchToSpaceND,cp as Bincount,pp as BroadcastArgs,p1 as BroadcastTo,vb as Callback,Py as CallbackList,uo as Cast,Ho as Ceil,co as ClipByValue,mp as Complex,$l as ComplexAbs,ci as Concat,qo as Conv2D,fp as Conv2DBackpropFilter,Ko as Conv2DBackpropInput,Dl as Conv3D,dp as Conv3DBackpropFilterV2,hp as Conv3DBackpropInputV2,jo as Cos,Xo as Cosh,ya as CropAndResize,xa as Cumprod,Yo as Cumsum,My as CustomCallback,ia as DataStorage,gp as DenseBincount,ba as DepthToSpace,Zo as DepthwiseConv2dNative,xp as DepthwiseConv2dNativeBackpropFilter,yp as DepthwiseConv2dNativeBackpropInput,bp as Diag,Rl as Dilation2D,jd as Dilation2DBackpropFilter,Kd as Dilation2DBackpropInput,u0 as ENV,Sb as EarlyStopping,wp as Einsum,Qo as Elu,Cp as EluGrad,Hd as Environment,Ca as Equal,wa as Erf,ts as Exp,pi as ExpandDims,Ia as Expm1,Ip as FFT,Fl as Fill,va as FlipLeftRight,es as Floor,rs as FloorDiv,Xd as FromPixels,ns as FusedBatchNorm,Si as FusedConv2D,Ni as FusedDepthwiseConv2D,Gc as GPGPUContext,Sa as GatherNd,mi as GatherV2,Mh as GraphModel,Na as Greater,os as GreaterEqual,Ly as History,vp as IFFT,po as Identity,Sp as Imag,be as InputSpec,Ta as IsFinite,ka as IsInf,ss as IsNan,zo as KernelBackend,Ol as LRN,Tp as LRNGrad,vh as LayerVariable,Vn as LayersModel,is as LeakyRelu,Ea as Less,_a as LessEqual,Np as LinSpace,as as Log,Aa as Log1p,f1 as LogSoftmax,$a as LogicalAnd,Da as LogicalNot,Ra as LogicalOr,m1 as LogicalXor,Nlt as LowerBound,Su as MathBackendWebGL,ls as Max,cs as MaxPool,Pl as MaxPool3D,Ep as MaxPool3DGrad,kp as MaxPoolGrad,_p as MaxPoolWithArgmax,us as Maximum,ps as Mean,ms as Min,fs as Minimum,ds as MirrorPad,Fa as Mod,sc as MomentumOptimizer,Ap as Multinomial,hs as Multiply,fi as Neg,Pa as NonMaxSuppressionV3,La as NonMaxSuppressionV4,Ma as NonMaxSuppressionV5,Oa as NotEqual,A0 as OP_SCOPE_SUFFIX,gs as OneHot,di as OnesLike,Hr as Optimizer,xh as OptimizerConstructors,hi as Pack,xs as PadV2,Tlt as Pool,ys as Pow,bs as Prelu,ws as Prod,ic as RMSPropOptimizer,kn as RNN,$p as RaggedGather,Dp as RaggedRange,Rp as RaggedTensorToTensor,Ll as Range,w0 as Rank,Fp as Real,Jo as RealDiv,Cs as Reciprocal,Ze as Reduction,Is as Relu,Ns as Relu6,gi as Reshape,Ss as ResizeBilinear,Pp as ResizeBilinearGrad,vs as ResizeNearestNeighbor,Op as ResizeNearestNeighborGrad,Ts as Reverse,ja as RotateWithOffset,ks as Round,Es as Rsqrt,rl as SGDOptimizer,za as ScatterNd,Lp as SearchSorted,xi as Select,Ba as Selu,Xi as Sequential,As as Sigmoid,Ga as Sign,_s as Sin,Va as Sinh,yi as Slice,Rs as Softmax,Wa as Softplus,bi as SpaceToBatchND,Ml as SparseFillEmptyRows,Ua as SparseReshape,zl as SparseSegmentMean,Bl as SparseSegmentSum,Mp as SparseToDense,wi as SplitV,$s as Sqrt,Vl as Square,Fs as SquaredDifference,mo as Step,Ha as StridedSlice,Gl as StringNGrams,Wl as StringSplit,Ul as StringToHashBucketFast,Os as Sub,Ds as Sum,en as SymbolicTensor,Ps as Tan,Ls as Tanh,Ft as Tensor,pe as TensorBuffer,Qn as Tile,qa as TopK,Ka as Transform,to as Transpose,zp as Unique,Ci as Unpack,Hl as UnsortedSegmentSum,klt as UpperBound,Xa as Variable,Ii as ZerosLike,vi as _FusedMatMul,Ee as abs,tx as acos,ex as acosh,Y as add,uE as addN,Jp as all,Gu as any,Ai as argMax,rx as argMin,nx as asin,ox as asinh,sx as atan,ix as atan2,ax as atanh,Zl as avgPool,lx as avgPool3d,lE as backend,S as backend_util,mE as basicLSTMCell,Ri as batchNorm,ux as batchNorm2d,cx as batchNorm3d,px as batchNorm4d,Jl as batchToSpaceND,mx as bincount,Oj as booleanMaskAsync,dE as broadcastArgs,Fi as broadcastTo,Wr as broadcast_util,gy as browser,bt as buffer,jZ as callbacks,J as cast,fx as ceil,vr as clipByValue,an as clone,In as complex,oe as concat,dx as concat1d,hx as concat2d,gx as concat3d,xx as concat4d,j$ as constraints,tm as conv1d,vn as conv2d,rm as conv2dTranspose,yx as conv3d,wx as conv3dTranspose,Flt as copyRegisteredKernels,Ql as cos,nm as cosh,fh as cosineWindow,Uu as cumprod,om as cumsum,cn as customGrad,$R as data,ah as denseBincount,B0 as deprecationWarn,Cx as depthToSpace,Oi as depthwiseConv2d,JZ as deregisterOp,Xl as device_util,hE as diag,Ix as dilation2d,Bct as disableDeprecationWarnings,Nt as dispose,Vct as disposeVariables,ut as div,vx as divNoNan,Sx as dot,nS as dropout,xE as einsum,Pi as elu,zct as enableDebugMode,Mct as enableProdMode,oS as enclosingPowerOfTwo,Ln as engine,M as env,Dr as equal,Nx as erf,Tx as euclideanNorm,sr as exp,ir as expandDims,kx as expm1,Hu as eye,lu as fft,yo as fill,Kct as findBackend,jct as findBackendFactory,Li as floor,Zp as floorDiv,gM as forceHalfFloat,cu as fused,Mi as gather,Hj as gatherND,xy as gather_util,Hct as getBackend,m0 as getGradient,Zd as getKernel,Bg as getKernelsForBackend,mlt as getThreadsCount,ck as gpgpu_util,Bq as grad,Vq as grads,Fe as greater,un as greaterEqual,el as ifft,tu as imag,oo as image,jj as inTopKAsync,X$ as initializers,BS as input,Pr as io,ym as irfft,Ex as isFinite,_x as isInf,Ax as isNaN,De as keep,qr as kernel_impls,ED as layers,eu as leakyRelu,sm as less,Mn as lessEqual,iS as linalg,wE as linspace,q7 as loadGraphModel,K7 as loadGraphModelSync,hD as loadLayersModel,$x as localResponseNormalization,Nr as log,ru as log1p,Fx as logSigmoid,im as logSoftmax,am as logSumExp,Fr as logicalAnd,nu as logicalNot,lm as logicalOr,Ox as logicalXor,j6 as losses,CE as lowerBound,Mt as matMul,uA as math,Sr as max,ou as maxPool,Lx as maxPool3d,IE as maxPoolWithArgmax,Sn as maximum,Ne as mean,oh as memory,vE as meshgrid,_D as metrics,Ja as min,zi as minimum,Mx as mirrorPad,zx as mod,Y8 as model,AD as models,qu as moments,Mj as movingAverage,D as mul,SE as multiRNNCell,NE as multinomial,qt as neg,yh as nextFrame,Qa as norm,Gs as notEqual,Bi as oneHot,fr as ones,wr as onesLike,T as op,TE as outerProduct,pn as pad,kE as pad1d,EE as pad2d,_E as pad3d,AE as pad4d,Bx as pool,ln as pow,iu as prelu,Qg as print,Vx as prod,Gct as profile,$E as raggedGather,DE as raggedRange,RE as raggedTensorToTensor,FE as rand,e_ as randomGamma,Xu as randomNormal,r_ as randomStandardNormal,Vi as randomUniform,Gi as range,Uct as ready,tl as real,Kx as reciprocal,Yp as registerBackend,J8 as registerCallbackConstructor,h1 as registerGradient,Fu as registerKernel,ZZ as registerOp,$D as regularizers,Or as relu,um as relu6,qct as removeBackend,R as reshape,dr as reverse,n_ as reverse1d,o_ as reverse2d,s_ as reverse3d,i_ as reverse4d,uu as rfft,cm as round,pm as rsqrt,pt as scalar,Bj as scatterND,mh as scatter_util,uh as searchSorted,mm as selu,fm as separableConv2d,Z8 as sequential,Q as serialization,j4 as setBackend,Xct as setPlatform,plt as setThreadsCount,ult as setWasmPath,clt as setWasmPaths,ST as setWebGLContext,a_ as setdiff1dAsync,Qr as sigmoid,jx as sign,K6 as signal,dm as sin,hm as sinh,Rt as slice,gm as slice1d,ph as slice2d,xm as slice3d,Yu as slice4d,ze as slice_util,au as softmax,Vs as softplus,su as spaceToBatchND,X6 as sparse,Wj as sparseToDense,q6 as spectral,hr as split,Se as sqrt,zt as square,bm as squaredDifference,zn as squeeze,qe as stack,wo as step,Xx as stridedSlice,Y6 as string,lt as sub,mt as sum,Bu as sumOutType,Yx as tan,Di as tanh,or as tensor,Ke as tensor1d,Ws as tensor2d,Zx as tensor3d,l_ as tensor4d,u_ as tensor5d,c_ as tensor6d,xo as tensor_util,t_ as test_util,B as tidy,Rr as tile,Wct as time,Jx as topk,lc as train,Pt as transpose,wm as truncatedNormal,Qx as unique,Rlt as unregisterGradient,Dlt as unregisterKernel,Cm as unsortedSegmentSum,gr as unstack,lr as upcastType,p_ as upperBound,y as util,Gq as valueAndGrad,Wq as valueAndGrads,ty as variable,Dx as variableGrads,blt as version,pR as version_converter,CA as version_core,Hm as version_layers,flt as version_wasm,hM as version_webgl,g1e as webgl,gd as webgl_util,_e as where,ry as whereAsync,Te as zeros,It as zerosLike};\n", "export * from './drawContour';\nexport * from './drawDetections';\nexport * from './drawFaceExpressions';\nexport * from './DrawBox';\nexport * from './DrawFaceLandmarks';\nexport * from './DrawTextField';\n", "import { Point } from '../classes/index';\n\nexport function drawContour(\n ctx: CanvasRenderingContext2D,\n points: Point[],\n isClosed = false,\n) {\n ctx.beginPath();\n\n points.slice(1).forEach(({ x, y }, prevIdx) => {\n const from = points[prevIdx];\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(x, y);\n });\n\n if (isClosed) {\n const from = points[points.length - 1];\n const to = points[0];\n if (!from || !to) {\n return;\n }\n\n ctx.moveTo(from.x, from.y);\n ctx.lineTo(to.x, to.y);\n }\n\n ctx.stroke();\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Point } from '../classes/index';\nimport { Dimensions, IDimensions } from '../classes/Dimensions';\n\nexport function isTensor(tensor: any, dim: number) {\n return tensor instanceof tf.Tensor && tensor.shape.length === dim;\n}\n\nexport function isTensor1D(tensor: any): tensor is tf.Tensor1D {\n return isTensor(tensor, 1);\n}\n\nexport function isTensor2D(tensor: any): tensor is tf.Tensor2D {\n return isTensor(tensor, 2);\n}\n\nexport function isTensor3D(tensor: any): tensor is tf.Tensor3D {\n return isTensor(tensor, 3);\n}\n\nexport function isTensor4D(tensor: any): tensor is tf.Tensor4D {\n return isTensor(tensor, 4);\n}\n\nexport function isFloat(num: number) {\n return num % 1 !== 0;\n}\n\nexport function isEven(num: number) {\n return num % 2 === 0;\n}\n\nexport function round(num: number, prec = 2) {\n const f = 10 ** prec;\n return Math.floor(num * f) / f;\n}\n\nexport function isDimensions(obj: any): boolean {\n return obj && obj.width && obj.height;\n}\n\nexport function computeReshapedDimensions({ width, height }: IDimensions, inputSize: number) {\n const scale = inputSize / Math.max(height, width);\n return new Dimensions(Math.round(width * scale), Math.round(height * scale));\n}\n\nexport function getCenterPoint(pts: Point[]): Point {\n return pts.reduce((sum, pt) => sum.add(pt), new Point(0, 0))\n .div(new Point(pts.length, pts.length));\n}\n\nexport function range(num: number, start: number, step: number): number[] {\n return Array(num).fill(0).map((_, i) => start + (i * step));\n}\n\nexport function isValidNumber(num: any) {\n return !!num && (num !== Infinity) && (num !== -Infinity) && !Number.isNaN(num) || num === 0;\n}\n\nexport function isValidProbablitiy(num: any) {\n return isValidNumber(num) && num >= 0 && num <= 1.0;\n}\n", "import { isValidNumber } from '../utils/index';\n\nexport interface IDimensions {\n width: number\n height: number\n}\n\nexport class Dimensions implements IDimensions {\n private _width: number;\n\n private _height: number;\n\n constructor(width: number, height: number) {\n if (!isValidNumber(width) || !isValidNumber(height)) {\n throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({ width, height })}`);\n }\n\n this._width = width;\n this._height = height;\n }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public reverse(): Dimensions {\n return new Dimensions(1 / this.width, 1 / this.height);\n }\n}\n", "export interface IPoint {\n x: number\n y: number\n}\n\nexport class Point implements IPoint {\n private _x: number;\n\n private _y: number;\n\n constructor(x: number, y: number) {\n this._x = x;\n this._y = y;\n }\n\n get x(): number { return this._x; }\n\n get y(): number { return this._y; }\n\n public add(pt: IPoint): Point {\n return new Point(this.x + pt.x, this.y + pt.y);\n }\n\n public sub(pt: IPoint): Point {\n return new Point(this.x - pt.x, this.y - pt.y);\n }\n\n public mul(pt: IPoint): Point {\n return new Point(this.x * pt.x, this.y * pt.y);\n }\n\n public div(pt: IPoint): Point {\n return new Point(this.x / pt.x, this.y / pt.y);\n }\n\n public abs(): Point {\n return new Point(Math.abs(this.x), Math.abs(this.y));\n }\n\n public magnitude(): number {\n return Math.sqrt((this.x ** 2) + (this.y ** 2));\n }\n\n public floor(): Point {\n return new Point(Math.floor(this.x), Math.floor(this.y));\n }\n}\n", "import { isDimensions, isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { IDimensions } from './Dimensions';\nimport { Point } from './Point';\nimport { IRect } from './Rect';\n\nexport class Box implements IBoundingBox, IRect {\n public static isRect(rect: any): boolean {\n return !!rect && [rect.x, rect.y, rect.width, rect.height].every(isValidNumber);\n }\n\n public static assertIsValidBox(box: any, callee: string, allowNegativeDimensions = false) {\n if (!Box.isRect(box)) {\n throw new Error(`${callee} - invalid box: ${JSON.stringify(box)}, expected object with properties x, y, width, height`);\n }\n\n if (!allowNegativeDimensions && (box.width < 0 || box.height < 0)) {\n throw new Error(`${callee} - width (${box.width}) and height (${box.height}) must be positive numbers`);\n }\n }\n\n private _x: number;\n\n private _y: number;\n\n private _width: number;\n\n private _height: number;\n\n constructor(_box: IBoundingBox | IRect, allowNegativeDimensions = true) {\n const box = (_box || {}) as any;\n\n const isBbox = [box.left, box.top, box.right, box.bottom].every(isValidNumber);\n const isRect = [box.x, box.y, box.width, box.height].every(isValidNumber);\n\n if (!isRect && !isBbox) {\n throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(box)}`);\n }\n\n const [x, y, width, height] = isRect\n ? [box.x, box.y, box.width, box.height]\n : [box.left, box.top, box.right - box.left, box.bottom - box.top];\n\n Box.assertIsValidBox({\n x, y, width, height,\n }, 'Box.constructor', allowNegativeDimensions);\n\n this._x = x;\n this._y = y;\n this._width = width;\n this._height = height;\n }\n\n public get x(): number { return this._x; }\n\n public get y(): number { return this._y; }\n\n public get width(): number { return this._width; }\n\n public get height(): number { return this._height; }\n\n public get left(): number { return this.x; }\n\n public get top(): number { return this.y; }\n\n public get right(): number { return this.x + this.width; }\n\n public get bottom(): number { return this.y + this.height; }\n\n public get area(): number { return this.width * this.height; }\n\n public get topLeft(): Point { return new Point(this.left, this.top); }\n\n public get topRight(): Point { return new Point(this.right, this.top); }\n\n public get bottomLeft(): Point { return new Point(this.left, this.bottom); }\n\n public get bottomRight(): Point { return new Point(this.right, this.bottom); }\n\n public round(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.round(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public floor(): Box {\n const [x, y, width, height] = [this.x, this.y, this.width, this.height]\n .map((val) => Math.floor(val));\n return new Box({\n x, y, width, height,\n });\n }\n\n public toSquare(): Box {\n let {\n x, y, width, height,\n } = this;\n const diff = Math.abs(width - height);\n if (width < height) {\n x -= (diff / 2);\n width += diff;\n }\n if (height < width) {\n y -= (diff / 2);\n height += diff;\n }\n\n return new Box({ x, y, width, height });\n }\n\n public rescale(s: IDimensions | number): Box {\n const scaleX = isDimensions(s) ? (s as IDimensions).width : s as number;\n const scaleY = isDimensions(s) ? (s as IDimensions).height : s as number;\n return new Box({\n x: this.x * scaleX,\n y: this.y * scaleY,\n width: this.width * scaleX,\n height: this.height * scaleY,\n });\n }\n\n public pad(padX: number, padY: number): Box {\n const [x, y, width, height] = [\n this.x - (padX / 2),\n this.y - (padY / 2),\n this.width + padX,\n this.height + padY,\n ];\n return new Box({ x, y, width, height });\n }\n\n public clipAtImageBorders(imgWidth: number, imgHeight: number): Box {\n const { x, y, right, bottom } = this;\n const clippedX = Math.max(x, 0);\n const clippedY = Math.max(y, 0);\n\n const newWidth = right - clippedX;\n const newHeight = bottom - clippedY;\n const clippedWidth = Math.min(newWidth, imgWidth - clippedX);\n const clippedHeight = Math.min(newHeight, imgHeight - clippedY);\n\n return (new Box({ x: clippedX, y: clippedY, width: clippedWidth, height: clippedHeight })).floor();\n }\n\n public shift(sx: number, sy: number): Box {\n const { width, height } = this;\n const x = this.x + sx;\n const y = this.y + sy;\n\n return new Box({ x, y, width, height });\n }\n\n public padAtBorders(imageHeight: number, imageWidth: number) {\n const w = this.width + 1;\n const h = this.height + 1;\n\n const dx = 1;\n const dy = 1;\n let edx = w;\n let edy = h;\n\n let x = this.left;\n let y = this.top;\n let ex = this.right;\n let ey = this.bottom;\n\n if (ex > imageWidth) {\n edx = -ex + imageWidth + w;\n ex = imageWidth;\n }\n if (ey > imageHeight) {\n edy = -ey + imageHeight + h;\n ey = imageHeight;\n }\n if (x < 1) {\n edy = 2 - x;\n x = 1;\n }\n if (y < 1) {\n edy = 2 - y;\n y = 1;\n }\n\n return { dy, edy, dx, edx, y, ey, x, ex, w, h };\n }\n\n public calibrate(region: Box) {\n return new Box({\n left: this.left + (region.left * this.width),\n top: this.top + (region.top * this.height),\n right: this.right + (region.right * this.width),\n bottom: this.bottom + (region.bottom * this.height),\n }).toSquare().round();\n }\n}\n", "import { Box } from './Box';\n\nexport interface IBoundingBox {\n left: number\n top: number\n right: number\n bottom: number\n}\n\nexport class BoundingBox extends Box implements IBoundingBox {\n constructor(left: number, top: number, right: number, bottom: number, allowNegativeDimensions = false) {\n super({ left, top, right, bottom }, allowNegativeDimensions);\n }\n}\n", "import { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { IRect, Rect } from './Rect';\n\nexport class ObjectDetection {\n private _score: number;\n\n private _classScore: number;\n\n private _className: string;\n\n private _box: Rect;\n\n private _imageDims: Dimensions;\n\n constructor(\n score: number,\n classScore: number,\n className: string,\n relativeBox: IRect,\n imageDims: IDimensions,\n ) {\n this._imageDims = new Dimensions(imageDims.width, imageDims.height);\n this._score = score;\n this._classScore = classScore;\n this._className = className;\n this._box = new Box(relativeBox).rescale(this._imageDims);\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n\n public get className(): string { return this._className; }\n\n public get box(): Box { return this._box; }\n\n public get imageDims(): Dimensions { return this._imageDims; }\n\n public get imageWidth(): number { return this.imageDims.width; }\n\n public get imageHeight(): number { return this.imageDims.height; }\n\n public get relativeBox(): Box { return new Box(this._box).rescale(this.imageDims.reverse()); }\n\n public forSize(width: number, height: number): ObjectDetection {\n return new ObjectDetection(\n this.score,\n this.classScore,\n this.className,\n this.relativeBox,\n { width, height },\n );\n }\n}\n", "import { Box } from './Box';\nimport { IDimensions } from './Dimensions';\nimport { ObjectDetection } from './ObjectDetection';\nimport { Rect } from './Rect';\n\nexport interface IFaceDetecion {\n score: number\n box: Box\n}\n\nexport class FaceDetection extends ObjectDetection implements IFaceDetecion {\n constructor(\n score: number,\n relativeBox: Rect,\n imageDims: IDimensions,\n ) {\n super(score, score, '', relativeBox, imageDims);\n }\n\n public override forSize(width: number, height: number): FaceDetection {\n const { score, relativeBox, imageDims } = super.forSize(width, height);\n return new FaceDetection(score, relativeBox, imageDims);\n }\n}\n", "import { Box } from '../classes/Box';\n\nexport function iou(box1: Box, box2: Box, isIOU = true) {\n const width = Math.max(0.0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));\n const height = Math.max(0.0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));\n const interSection = width * height;\n\n return isIOU\n ? interSection / (box1.area + box2.area - interSection)\n : interSection / Math.min(box1.area, box2.area);\n}\n", "import { BoundingBox, IPoint } from '../classes/index';\n\nexport function minBbox(pts: IPoint[]): BoundingBox {\n const xs = pts.map((pt) => pt.x);\n const ys = pts.map((pt) => pt.y);\n const minX = xs.reduce((min, x) => (x < min ? x : min), Infinity);\n const minY = ys.reduce((min, y) => (y < min ? y : min), Infinity);\n const maxX = xs.reduce((max, x) => (max < x ? x : max), 0);\n const maxY = ys.reduce((max, y) => (max < y ? y : max), 0);\n\n return new BoundingBox(minX, minY, maxX, maxY);\n}\n", "import { Box } from '../classes/Box';\nimport { iou } from './iou';\n\nexport function nonMaxSuppression(\n boxes: Box[],\n scores: number[],\n iouThreshold: number,\n isIOU = true,\n): number[] {\n let indicesSortedByScore = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .sort((c1, c2) => c1.score - c2.score)\n .map((c) => c.boxIndex);\n\n const pick: number[] = [];\n\n while (indicesSortedByScore.length > 0) {\n const curr = indicesSortedByScore.pop() as number;\n pick.push(curr);\n\n const indices = indicesSortedByScore;\n\n const outputs: number[] = [];\n for (let i = 0; i < indices.length; i++) {\n const idx = indices[i];\n\n const currBox = boxes[curr];\n const idxBox = boxes[idx];\n\n outputs.push(iou(currBox, idxBox, isIOU));\n }\n\n indicesSortedByScore = indicesSortedByScore.filter(\n (_, j) => outputs[j] <= iouThreshold,\n );\n }\n\n return pick;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function normalize(x: tf.Tensor4D, meanRgb: number[]): tf.Tensor4D {\n return tf.tidy(() => {\n const [r, g, b] = meanRgb;\n const avg_r = tf.fill([...x.shape.slice(0, 3), 1], r, 'float32');\n const avg_g = tf.fill([...x.shape.slice(0, 3), 1], g, 'float32');\n const avg_b = tf.fill([...x.shape.slice(0, 3), 1], b, 'float32');\n const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3);\n\n return tf.sub(x, avg_rgb);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n/**\n * Pads the smaller dimension of an image tensor with zeros, such that width === height.\n *\n * @param imgTensor The image tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The padded tensor with width === height.\n */\nexport function padToSquare(imgTensor: tf.Tensor4D, isCenterImage = false): tf.Tensor4D {\n return tf.tidy(() => {\n const [height, width] = imgTensor.shape.slice(1);\n if (height === width) return imgTensor;\n const dimDiff = Math.abs(height - width);\n const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));\n const paddingAxis = height > width ? 2 : 1;\n const createPaddingTensor = (paddingAmountLocal: number): tf.Tensor => {\n const paddingTensorShape = imgTensor.shape.slice();\n paddingTensorShape[paddingAxis] = paddingAmountLocal;\n return tf.fill(paddingTensorShape, 0, 'float32');\n };\n const paddingTensorAppend = createPaddingTensor(paddingAmount);\n const remainingPaddingAmount = dimDiff - (paddingTensorAppend.shape[paddingAxis] as number);\n const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null;\n const tensorsToStack = [paddingTensorPrepend, imgTensor, paddingTensorAppend]\n .filter((t) => !!t)\n .map((t) => tf.cast(t as tf.Tensor4D, 'float32')) as tf.Tensor4D[];\n return tf.concat(tensorsToStack, paddingAxis);\n });\n}\n", "export function shuffleArray(inputArray: any[]) {\n const array = inputArray.slice();\n for (let i = array.length - 1; i > 0; i--) {\n const j = Math.floor(Math.random() * (i + 1));\n const x = array[i];\n array[i] = array[j];\n array[j] = x;\n }\n return array;\n}\n", "export * from './iou';\nexport * from './minBbox';\nexport * from './nonMaxSuppression';\nexport * from './normalize';\nexport * from './padToSquare';\nexport * from './shuffleArray';\n\nexport function sigmoid(x: number) {\n return 1 / (1 + Math.exp(-x));\n}\n\nexport function inverseSigmoid(x: number) {\n return Math.log(x / (1 - x));\n}\n", "import { Box } from './Box';\n\nexport interface IRect {\n x: number\n y: number\n width: number\n height: number\n}\n\nexport class Rect extends Box implements IRect {\n constructor(x: number, y: number, width: number, height: number, allowNegativeDimensions = false) {\n super({ x, y, width, height }, allowNegativeDimensions);\n }\n}\n", "import { minBbox } from '../ops/index';\nimport { getCenterPoint } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { Dimensions, IDimensions } from './Dimensions';\nimport { FaceDetection } from './FaceDetection';\nimport { Point } from './Point';\nimport { IRect, Rect } from './Rect';\n\n// face alignment constants\nconst relX = 0.5;\nconst relY = 0.43;\nconst relScale = 0.45;\n\nexport interface IFaceLandmarks {\n positions: Point[]\n shift: Point\n}\n\nexport class FaceLandmarks implements IFaceLandmarks {\n protected _shift: Point;\n\n protected _positions: Point[];\n\n protected _imgDims: Dimensions;\n\n constructor(\n relativeFaceLandmarkPositions: Point[],\n imgDims: IDimensions,\n shift: Point = new Point(0, 0),\n ) {\n const { width, height } = imgDims;\n this._imgDims = new Dimensions(width, height);\n this._shift = shift;\n this._positions = relativeFaceLandmarkPositions.map(\n (pt) => pt.mul(new Point(width, height)).add(shift),\n );\n }\n\n public get shift(): Point { return new Point(this._shift.x, this._shift.y); }\n\n public get imageWidth(): number { return this._imgDims.width; }\n\n public get imageHeight(): number { return this._imgDims.height; }\n\n public get positions(): Point[] { return this._positions; }\n\n public get relativePositions(): Point[] {\n return this._positions.map(\n (pt) => pt.sub(this._shift).div(new Point(this.imageWidth, this.imageHeight)),\n );\n }\n\n public forSize(width: number, height: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n { width, height },\n );\n }\n\n public shiftBy(x: number, y: number): T {\n return new (this.constructor as any)(\n this.relativePositions,\n this._imgDims,\n new Point(x, y),\n );\n }\n\n public shiftByPoint(pt: Point): T {\n return this.shiftBy(pt.x, pt.y);\n }\n\n /**\n * Aligns the face landmarks after face detection from the relative positions of the faces\n * bounding box, or it's current shift. This function should be used to align the face images\n * after face detection has been performed, before they are passed to the face recognition net.\n * This will make the computed face descriptor more accurate.\n *\n * @param detection (optional) The bounding box of the face or the face detection result. If\n * no argument was passed the position of the face landmarks are assumed to be relative to\n * it's current shift.\n * @returns The bounding box of the aligned face.\n */\n public align(\n detection?: FaceDetection | IRect | IBoundingBox | null,\n options: { useDlibAlignment?: boolean, minBoxPadding?: number } = { },\n ): Box {\n if (detection) {\n const box = detection instanceof FaceDetection\n ? detection.box.floor()\n : new Box(detection);\n\n return this.shiftBy(box.x, box.y).align(null, options);\n }\n\n const { useDlibAlignment, minBoxPadding } = { useDlibAlignment: false, minBoxPadding: 0.2, ...options };\n\n if (useDlibAlignment) {\n return this.alignDlib();\n }\n\n return this.alignMinBbox(minBoxPadding);\n }\n\n private alignDlib(): Box {\n const centers = this.getRefPointsForAlignment();\n\n const [leftEyeCenter, rightEyeCenter, mouthCenter] = centers;\n const distToMouth = (pt: Point) => mouthCenter.sub(pt).magnitude();\n const eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;\n\n const size = Math.floor(eyeToMouthDist / relScale);\n\n const refPoint = getCenterPoint(centers);\n // TODO: pad in case rectangle is out of image bounds\n const x = Math.floor(Math.max(0, refPoint.x - (relX * size)));\n const y = Math.floor(Math.max(0, refPoint.y - (relY * size)));\n\n return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));\n }\n\n private alignMinBbox(padding: number): Box {\n const box = minBbox(this.positions);\n return box.pad(box.width * padding, box.height * padding);\n }\n\n protected getRefPointsForAlignment(): Point[] {\n throw new Error('getRefPointsForAlignment not implemented by base class');\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks5 extends FaceLandmarks {\n protected override getRefPointsForAlignment(): Point[] {\n const pts = this.positions;\n return [\n pts[0],\n pts[1],\n getCenterPoint([pts[3], pts[4]]),\n ];\n }\n}\n", "import { getCenterPoint } from '../utils/index';\nimport { FaceLandmarks } from './FaceLandmarks';\nimport { Point } from './Point';\n\nexport class FaceLandmarks68 extends FaceLandmarks {\n public getJawOutline(): Point[] {\n return this.positions.slice(0, 17);\n }\n\n public getLeftEyeBrow(): Point[] {\n return this.positions.slice(17, 22);\n }\n\n public getRightEyeBrow(): Point[] {\n return this.positions.slice(22, 27);\n }\n\n public getNose(): Point[] {\n return this.positions.slice(27, 36);\n }\n\n public getLeftEye(): Point[] {\n return this.positions.slice(36, 42);\n }\n\n public getRightEye(): Point[] {\n return this.positions.slice(42, 48);\n }\n\n public getMouth(): Point[] {\n return this.positions.slice(48, 68);\n }\n\n protected override getRefPointsForAlignment(): Point[] {\n return [\n this.getLeftEye(),\n this.getRightEye(),\n this.getMouth(),\n ].map(getCenterPoint);\n }\n}\n", "import { round } from '../utils/index';\n\nexport interface IFaceMatch {\n label: string\n distance: number\n}\n\nexport class FaceMatch implements IFaceMatch {\n private _label: string;\n private _distance: number;\n\n constructor(label: string, distance: number) {\n this._label = label;\n this._distance = distance;\n }\n\n public get label(): string { return this._label; }\n\n public get distance(): number { return this._distance; }\n\n public toString(withDistance = true): string {\n return `${this.label}${withDistance ? ` (${round(this.distance)})` : ''}`;\n }\n}\n", "import { isValidNumber } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { Box } from './Box';\nimport { IRect } from './Rect';\n\nexport class LabeledBox extends Box {\n public static assertIsValidLabeledBox(box: any, callee: string) {\n Box.assertIsValidBox(box, callee);\n if (!isValidNumber(box.label)) {\n throw new Error(`${callee} - expected property label (${box.label}) to be a number`);\n }\n }\n\n private _label: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number) {\n super(box);\n this._label = label;\n }\n\n public get label(): number { return this._label; }\n}\n", "export class LabeledFaceDescriptors {\n private _label: string;\n\n private _descriptors: Float32Array[];\n\n constructor(label: string, descriptors: Float32Array[]) {\n if (!(typeof label === 'string')) {\n throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');\n }\n\n if (!Array.isArray(descriptors) || descriptors.some((desc) => !(desc instanceof Float32Array))) {\n throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');\n }\n\n this._label = label;\n this._descriptors = descriptors;\n }\n\n public get label(): string { return this._label; }\n\n public get descriptors(): Float32Array[] { return this._descriptors; }\n\n public toJSON(): any {\n return {\n label: this.label,\n descriptors: this.descriptors.map((d) => Array.from(d)),\n };\n }\n\n public static fromJSON(json: any): LabeledFaceDescriptors {\n const descriptors = json.descriptors.map((d: any) => new Float32Array(d));\n return new LabeledFaceDescriptors(json.label, descriptors);\n }\n}\n", "import { isValidProbablitiy } from '../utils/index';\nimport { IBoundingBox } from './BoundingBox';\nimport { LabeledBox } from './LabeledBox';\nimport { IRect } from './Rect';\n\nexport class PredictedBox extends LabeledBox {\n public static assertIsValidPredictedBox(box: any, callee: string) {\n LabeledBox.assertIsValidLabeledBox(box, callee);\n\n if (\n !isValidProbablitiy(box.score)\n || !isValidProbablitiy(box.classScore)\n ) {\n throw new Error(`${callee} - expected properties score (${box.score}) and (${box.classScore}) to be a number between [0, 1]`);\n }\n }\n\n private _score: number;\n\n private _classScore: number;\n\n constructor(box: IBoundingBox | IRect | any, label: number, score: number, classScore: number) {\n super(box, label);\n this._score = score;\n this._classScore = classScore;\n }\n\n public get score(): number { return this._score; }\n\n public get classScore(): number { return this._classScore; }\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\n\nexport type WithFaceDetection = TSource & {\n detection: FaceDetection\n}\n\nexport function isWithFaceDetection(obj: any): obj is WithFaceDetection<{}> {\n return obj.detection instanceof FaceDetection;\n}\n\nexport function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection {\n const extension = { detection };\n return { ...sourceObj, ...extension };\n}\n", "import { Environment } from './types';\n\nexport function createBrowserEnv(): Environment {\n const fetch = window.fetch;\n if (!fetch) throw new Error('fetch - missing fetch implementation for browser environment');\n\n const readFile = () => {\n throw new Error('readFile - filesystem not available for browser environment');\n };\n\n return {\n Canvas: HTMLCanvasElement,\n CanvasRenderingContext2D,\n Image: HTMLImageElement,\n ImageData,\n Video: HTMLVideoElement,\n createCanvasElement: () => document.createElement('canvas'),\n createImageElement: () => document.createElement('img'),\n createVideoElement: () => document.createElement('video'),\n fetch,\n readFile,\n };\n}\n", "export function isNodejs(): boolean {\n return typeof global === 'object'\n && typeof process !== 'undefined'\n && process.versions != null\n && process.versions.node != null;\n}\n", "import { FileSystem } from './types';\nimport { isNodejs } from './isNodejs';\n\nexport function createFileSystem(fs?: any): FileSystem {\n let requireFsError = '';\n if (!fs && isNodejs()) {\n try {\n // eslint-disable-next-line global-require\n fs = require('fs');\n } catch (err) {\n requireFsError = (err as any).toString();\n }\n }\n\n const readFile = fs\n ? (filePath: string) => new Promise((resolve, reject) => { fs.readFile(filePath, (err: any, buffer) => (err ? reject(err) : resolve(buffer))); })\n : () => { throw new Error(`readFile - failed to require fs in nodejs environment with error: ${requireFsError}`); };\n return { readFile };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { createFileSystem } from './createFileSystem';\nimport { Environment } from './types';\n\nexport function createNodejsEnv(): Environment {\n // eslint-disable-next-line dot-notation\n const Canvas = global['Canvas'] || global.HTMLCanvasElement;\n const Image = global.Image || global.HTMLImageElement;\n // eslint-disable-next-line dot-notation\n const Video = global['Video'] || global.HTMLVideoElement;\n\n const createCanvasElement = () => {\n if (Canvas) return new Canvas();\n throw new Error('createCanvasElement - missing Canvas implementation for nodejs environment');\n };\n\n const createImageElement = () => {\n if (Image) return new Image();\n throw new Error('createImageElement - missing Image implementation for nodejs environment');\n };\n\n const createVideoElement = () => {\n if (Video) return new Video();\n throw new Error('createVideoElement - missing Video implementation for nodejs environment');\n };\n\n const fetch = global.fetch;\n // if (!fetch) throw new Error('fetch - missing fetch implementation for nodejs environment');\n\n const fileSystem = createFileSystem();\n\n return {\n Canvas: Canvas || class {},\n CanvasRenderingContext2D: global.CanvasRenderingContext2D || class {},\n Image: Image || class {},\n ImageData: global.ImageData || class {},\n Video: global.HTMLVideoElement || class {},\n createCanvasElement,\n createImageElement,\n createVideoElement,\n fetch,\n ...fileSystem,\n };\n}\n", "export function isBrowser(): boolean {\n return typeof window === 'object'\n && typeof document !== 'undefined'\n && typeof HTMLImageElement !== 'undefined'\n && typeof HTMLCanvasElement !== 'undefined'\n && typeof HTMLVideoElement !== 'undefined'\n && typeof ImageData !== 'undefined'\n && typeof CanvasRenderingContext2D !== 'undefined';\n}\n", "import { createBrowserEnv } from './createBrowserEnv';\nimport { createFileSystem } from './createFileSystem';\nimport { createNodejsEnv } from './createNodejsEnv';\nimport { isBrowser } from './isBrowser';\nimport { isNodejs } from './isNodejs';\nimport { Environment } from './types';\n\nlet environment: Environment | null;\n\nfunction getEnv(): Environment {\n if (!environment) {\n throw new Error('getEnv - environment is not defined, check isNodejs() and isBrowser()');\n }\n return environment;\n}\n\nfunction setEnv(env: Environment) {\n environment = env;\n}\n\nfunction initialize() {\n // check for isBrowser() first to prevent electron renderer process\n // to be initialized with wrong environment due to isNodejs() returning true\n if (isBrowser()) return setEnv(createBrowserEnv());\n if (isNodejs()) return setEnv(createNodejsEnv());\n return null;\n}\n\nfunction monkeyPatch(env: Partial) {\n if (!environment) {\n initialize();\n }\n\n if (!environment) {\n throw new Error('monkeyPatch - environment is not defined, check isNodejs() and isBrowser()');\n }\n\n const { Canvas = environment.Canvas, Image = environment.Image } = env;\n environment.Canvas = Canvas;\n environment.Image = Image;\n environment.createCanvasElement = env.createCanvasElement || (() => new Canvas());\n environment.createImageElement = env.createImageElement || (() => new Image());\n\n environment.ImageData = env.ImageData || environment.ImageData;\n environment.Video = env.Video || environment.Video;\n environment.fetch = env.fetch || environment.fetch;\n environment.readFile = env.readFile || environment.readFile;\n}\n\nexport const env = {\n getEnv,\n setEnv,\n initialize,\n createBrowserEnv,\n createFileSystem,\n createNodejsEnv,\n monkeyPatch,\n isBrowser,\n isNodejs,\n};\n\ninitialize();\n\nexport * from './types';\n", "import { env } from '../env/index';\n\nexport function resolveInput(arg: string | any) {\n if (!env.isNodejs() && typeof arg === 'string') {\n return document.getElementById(arg);\n }\n return arg;\n}\n", "import { env } from '../env/index';\nimport { resolveInput } from './resolveInput';\n\nexport function getContext2dOrThrow(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D): CanvasRenderingContext2D {\n const { Canvas, CanvasRenderingContext2D } = env.getEnv();\n\n if (canvasArg instanceof CanvasRenderingContext2D) {\n return canvasArg;\n }\n\n const canvas = resolveInput(canvasArg);\n\n if (!(canvas instanceof Canvas)) {\n throw new Error('resolveContext2d - expected canvas to be of instance of Canvas');\n }\n\n const ctx = canvas.getContext('2d');\n if (!ctx) {\n throw new Error('resolveContext2d - canvas 2d context is null');\n }\n\n return ctx;\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IDimensions, IPoint } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { resolveInput } from '../dom/resolveInput';\n\n// eslint-disable-next-line no-shadow\nexport enum AnchorPosition {\n // eslint-disable-next-line no-unused-vars\n TOP_LEFT = 'TOP_LEFT',\n // eslint-disable-next-line no-unused-vars\n TOP_RIGHT = 'TOP_RIGHT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_LEFT = 'BOTTOM_LEFT',\n // eslint-disable-next-line no-unused-vars\n BOTTOM_RIGHT = 'BOTTOM_RIGHT'\n}\n\nexport interface IDrawTextFieldOptions {\n anchorPosition?: AnchorPosition\n backgroundColor?: string\n fontColor?: string\n fontSize?: number\n fontStyle?: string\n padding?: number\n}\n\nexport class DrawTextFieldOptions implements IDrawTextFieldOptions {\n public anchorPosition: AnchorPosition;\n\n public backgroundColor: string;\n\n public fontColor: string;\n\n public fontSize: number;\n\n public fontStyle: string;\n\n public padding: number;\n\n constructor(options: IDrawTextFieldOptions = {}) {\n const {\n anchorPosition, backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = options;\n this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT;\n this.backgroundColor = backgroundColor || 'rgba(0, 0, 0, 0.5)';\n this.fontColor = fontColor || 'rgba(255, 255, 255, 1)';\n this.fontSize = fontSize || 14;\n this.fontStyle = fontStyle || 'Georgia';\n this.padding = padding || 4;\n }\n}\n\nexport class DrawTextField {\n public text: string[];\n\n public anchor : IPoint;\n\n public options: DrawTextFieldOptions;\n\n constructor(\n text: string | string[] | DrawTextField,\n anchor: IPoint,\n options: IDrawTextFieldOptions = {},\n ) {\n // eslint-disable-next-line no-nested-ternary\n this.text = typeof text === 'string'\n ? [text]\n : (text instanceof DrawTextField ? text.text : text);\n this.anchor = anchor;\n this.options = new DrawTextFieldOptions(options);\n }\n\n measureWidth(ctx: CanvasRenderingContext2D): number {\n const { padding } = this.options;\n return this.text.map((l) => ctx.measureText(l).width).reduce((w0, w1) => (w0 < w1 ? w1 : w0), 0) + (2 * padding);\n }\n\n measureHeight(): number {\n const { fontSize, padding } = this.options;\n return this.text.length * fontSize + (2 * padding);\n }\n\n getUpperLeft(ctx: CanvasRenderingContext2D, canvasDims?: IDimensions): IPoint {\n const { anchorPosition } = this.options;\n const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT;\n const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT;\n\n const textFieldWidth = this.measureWidth(ctx);\n const textFieldHeight = this.measureHeight();\n const x = (isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x);\n const y = isShiftTop ? this.anchor.y - textFieldHeight : this.anchor.y;\n\n // adjust anchor if text box exceeds canvas borders\n if (canvasDims) {\n const { width, height } = canvasDims;\n const newX = Math.max(Math.min(x, width - textFieldWidth), 0);\n const newY = Math.max(Math.min(y, height - textFieldHeight), 0);\n return { x: newX, y: newY };\n }\n return { x, y };\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const canvas = resolveInput(canvasArg);\n const ctx = getContext2dOrThrow(canvas);\n\n const {\n backgroundColor, fontColor, fontSize, fontStyle, padding,\n } = this.options;\n\n ctx.font = `${fontSize}px ${fontStyle}`;\n const maxTextWidth = this.measureWidth(ctx);\n const textHeight = this.measureHeight();\n\n ctx.fillStyle = backgroundColor;\n const upperLeft = this.getUpperLeft(ctx, canvas);\n ctx.fillRect(upperLeft.x, upperLeft.y, maxTextWidth, textHeight);\n\n ctx.fillStyle = fontColor;\n this.text.forEach((textLine, i) => {\n const x = padding + upperLeft.x;\n const y = padding + upperLeft.y + ((i + 1) * fontSize);\n ctx.fillText(textLine, x, y);\n });\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { Box, IBoundingBox, IRect } from '../classes/index';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { AnchorPosition, DrawTextField, DrawTextFieldOptions, IDrawTextFieldOptions } from './DrawTextField';\n\nexport interface IDrawBoxOptions {\n boxColor?: string\n lineWidth?: number\n drawLabelOptions?: IDrawTextFieldOptions\n label?: string\n}\n\nexport class DrawBoxOptions {\n public boxColor: string;\n\n public lineWidth: number;\n\n public drawLabelOptions: DrawTextFieldOptions;\n\n public label?: string;\n\n constructor(options: IDrawBoxOptions = {}) {\n const {\n boxColor, lineWidth, label, drawLabelOptions,\n } = options;\n this.boxColor = boxColor || 'rgba(0, 0, 255, 1)';\n this.lineWidth = lineWidth || 2;\n this.label = label;\n\n const defaultDrawLabelOptions = {\n anchorPosition: AnchorPosition.BOTTOM_LEFT,\n backgroundColor: this.boxColor,\n };\n this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });\n }\n}\n\nexport class DrawBox {\n public box: Box;\n\n public options: DrawBoxOptions;\n\n constructor(\n box: IBoundingBox | IRect,\n options: IDrawBoxOptions = {},\n ) {\n this.box = new Box(box);\n this.options = new DrawBoxOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const { boxColor, lineWidth } = this.options;\n\n const {\n x, y, width, height,\n } = this.box;\n ctx.strokeStyle = boxColor;\n ctx.lineWidth = lineWidth;\n ctx.strokeRect(x, y, width, height);\n\n const { label } = this.options;\n if (label) {\n new DrawTextField([label], { x: x - (lineWidth / 2), y }, this.options.drawLabelOptions).draw(canvasArg);\n }\n }\n}\n", "import { Box, IBoundingBox, IRect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { round } from '../utils/index';\nimport { DrawBox } from './DrawBox';\n\nexport type TDrawDetectionsInput = IRect | IBoundingBox | FaceDetection | WithFaceDetection<{}>\n\nexport function drawDetections(\n canvasArg: string | HTMLCanvasElement,\n detections: TDrawDetectionsInput | Array,\n) {\n const detectionsArray = Array.isArray(detections) ? detections : [detections];\n\n detectionsArray.forEach((det) => {\n // eslint-disable-next-line no-nested-ternary\n const score = det instanceof FaceDetection\n ? det.score\n : (isWithFaceDetection(det) ? det.detection.score : undefined);\n\n // eslint-disable-next-line no-nested-ternary\n const box = det instanceof FaceDetection\n ? det.box\n : (isWithFaceDetection(det) ? det.detection.box : new Box(det));\n\n const label = score ? `${round(score)}` : undefined;\n new DrawBox(box, { label }).draw(canvasArg);\n });\n}\n", "import { env } from '../env/index';\n\nexport function isMediaLoaded(media: HTMLImageElement | HTMLVideoElement) : boolean {\n const { Image, Video } = env.getEnv();\n\n return (media instanceof Image && media.complete)\n || (media instanceof Video && media.readyState >= 3);\n}\n", "import { env } from '../env/index';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function awaitMediaLoaded(media: HTMLImageElement | HTMLVideoElement | HTMLCanvasElement) {\n // eslint-disable-next-line consistent-return\n return new Promise((resolve, reject) => {\n if (media instanceof env.getEnv().Canvas || isMediaLoaded(media)) resolve(null);\n\n function onError(e: Event) {\n if (!e.currentTarget) return;\n // eslint-disable-next-line no-use-before-define\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n reject(e);\n }\n\n function onLoad(e: Event) {\n if (!e.currentTarget) return;\n e.currentTarget.removeEventListener('load', onLoad);\n e.currentTarget.removeEventListener('error', onError);\n resolve(e);\n }\n\n media.addEventListener('load', onLoad);\n media.addEventListener('error', onError);\n });\n}\n", "import { env } from '../env/index';\n\nexport function bufferToImage(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToImage - expected buf to be of type: Blob'));\n const reader = new FileReader();\n reader.onload = () => {\n if (typeof reader.result !== 'string') reject(new Error('bufferToImage - expected reader.result to be a string, in onload'));\n const img = env.getEnv().createImageElement();\n img.onload = () => resolve(img);\n img.onerror = reject;\n img.src = reader.result as string;\n };\n reader.onerror = reject;\n reader.readAsDataURL(buf);\n });\n}\n", "import { Dimensions, IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\n\nexport function getMediaDimensions(input: HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | IDimensions): Dimensions {\n const { Image, Video } = env.getEnv();\n\n if (input instanceof Image) {\n return new Dimensions(input.naturalWidth, input.naturalHeight);\n }\n if (input instanceof Video) {\n return new Dimensions(input.videoWidth, input.videoHeight);\n }\n return new Dimensions(input.width, input.height);\n}\n", "import { IDimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\nimport { isMediaLoaded } from './isMediaLoaded';\n\nexport function createCanvas({ width, height }: IDimensions): HTMLCanvasElement {\n const { createCanvasElement } = env.getEnv();\n const canvas = createCanvasElement();\n canvas.width = width;\n canvas.height = height;\n return canvas;\n}\n\nexport function createCanvasFromMedia(media: HTMLImageElement | HTMLVideoElement | ImageData, dims?: IDimensions): HTMLCanvasElement {\n const { ImageData } = env.getEnv();\n\n if (!(media instanceof ImageData) && !isMediaLoaded(media)) {\n throw new Error('createCanvasFromMedia - media has not finished loading yet');\n }\n\n const { width, height } = dims || getMediaDimensions(media);\n const canvas = createCanvas({ width, height });\n\n if (media instanceof ImageData) {\n getContext2dOrThrow(canvas).putImageData(media, 0, 0);\n } else {\n getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);\n }\n return canvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { env } from '../env/index';\nimport { isTensor4D } from '../utils/index';\n\nexport async function imageTensorToCanvas(\n imgTensor: tf.Tensor,\n canvas?: HTMLCanvasElement,\n): Promise {\n const targetCanvas = canvas || env.getEnv().createCanvasElement();\n\n const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);\n const imgTensor3D = tf.tidy(() => imgTensor.as3D(height, width, numChannels).toInt());\n await tf['browser'].toPixels(imgTensor3D, targetCanvas);\n\n imgTensor3D.dispose();\n\n return targetCanvas;\n}\n", "import { env } from '../env/index';\n\nexport function isMediaElement(input: any) {\n const { Image, Canvas, Video } = env.getEnv();\n\n return input instanceof Image\n || input instanceof Canvas\n || input instanceof Video;\n}\n", "import { env } from '../env/index';\nimport { createCanvas, createCanvasFromMedia } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function imageToSquare(input: HTMLImageElement | HTMLCanvasElement, inputSize: number, centerImage = false) {\n const { Image, Canvas } = env.getEnv();\n\n if (!(input instanceof Image || input instanceof Canvas)) {\n throw new Error('imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement');\n }\n\n if (inputSize <= 0) return createCanvas({ width: 1, height: 1 });\n const dims = getMediaDimensions(input);\n const scale = inputSize / Math.max(dims.height, dims.width);\n const width = scale * dims.width;\n const height = scale * dims.height;\n\n const targetCanvas = createCanvas({ width: inputSize, height: inputSize });\n const inputCanvas = input instanceof Canvas ? input : createCanvasFromMedia(input);\n\n const offset = Math.abs(width - height) / 2;\n const dx = centerImage && width < height ? offset : 0;\n const dy = centerImage && height < width ? offset : 0;\n if (inputCanvas.width > 0 && inputCanvas.height > 0) getContext2dOrThrow(targetCanvas).drawImage(inputCanvas, dx, dy, width, height);\n\n return targetCanvas;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Dimensions } from '../classes/Dimensions';\nimport { env } from '../env/index';\nimport { padToSquare } from '../ops/padToSquare';\nimport { computeReshapedDimensions, isTensor3D, isTensor4D, range } from '../utils/index';\nimport { createCanvasFromMedia } from './createCanvas';\nimport { imageToSquare } from './imageToSquare';\nimport { TResolvedNetInput } from './types';\n\nexport class NetInput {\n private _imageTensors: Array = [];\n\n private _canvases: HTMLCanvasElement[] = [];\n\n private _batchSize: number;\n\n private _treatAsBatchInput = false;\n\n private _inputDimensions: number[][] = [];\n\n private _inputSize = 0;\n\n constructor(inputs: Array, treatAsBatchInput = false) {\n if (!Array.isArray(inputs)) {\n throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${inputs}`);\n }\n\n this._treatAsBatchInput = treatAsBatchInput;\n this._batchSize = inputs.length;\n\n inputs.forEach((input, idx) => {\n if (isTensor3D(input)) {\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = input.shape;\n return;\n }\n\n if (isTensor4D(input)) {\n const batchSize = (input as any).shape[0];\n if (batchSize !== 1) {\n throw new Error(`NetInput - tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n\n this._imageTensors[idx] = input;\n this._inputDimensions[idx] = (input as any).shape.slice(1);\n return;\n }\n\n // @ts-ignore\n const canvas = (input as any) instanceof env.getEnv().Canvas ? input : createCanvasFromMedia(input);\n this._canvases[idx] = canvas as HTMLCanvasElement;\n this._inputDimensions[idx] = [canvas.height, canvas.width, 3];\n });\n }\n\n public get imageTensors(): Array {\n return this._imageTensors;\n }\n\n public get canvases(): HTMLCanvasElement[] {\n return this._canvases;\n }\n\n public get isBatchInput(): boolean {\n return this.batchSize > 1 || this._treatAsBatchInput;\n }\n\n public get batchSize(): number {\n return this._batchSize;\n }\n\n public get inputDimensions(): number[][] {\n return this._inputDimensions;\n }\n\n public get inputSize(): number | undefined {\n return this._inputSize;\n }\n\n public get reshapedInputDimensions(): Dimensions[] {\n return range(this.batchSize, 0, 1).map(\n (_, batchIdx) => this.getReshapedInputDimensions(batchIdx),\n );\n }\n\n public getInput(batchIdx: number): tf.Tensor3D | tf.Tensor4D | HTMLCanvasElement {\n return this.canvases[batchIdx] || this.imageTensors[batchIdx];\n }\n\n public getInputDimensions(batchIdx: number): number[] {\n return this._inputDimensions[batchIdx];\n }\n\n public getInputHeight(batchIdx: number): number {\n return this._inputDimensions[batchIdx][0];\n }\n\n public getInputWidth(batchIdx: number): number {\n return this._inputDimensions[batchIdx][1];\n }\n\n public getReshapedInputDimensions(batchIdx: number): Dimensions {\n if (typeof this.inputSize !== 'number') {\n throw new Error('getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet');\n }\n\n const width = this.getInputWidth(batchIdx);\n const height = this.getInputHeight(batchIdx);\n return computeReshapedDimensions({ width, height }, this.inputSize);\n }\n\n /**\n * Create a batch tensor from all input canvases and tensors\n * with size [batchSize, inputSize, inputSize, 3].\n *\n * @param inputSize Height and width of the tensor.\n * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on\n * both sides of the minor dimension oof the image.\n * @returns The batch tensor.\n */\n public toBatchTensor(inputSize: number, isCenterInputs = true): tf.Tensor4D {\n this._inputSize = inputSize;\n\n return tf.tidy(() => {\n const inputTensors = range(this.batchSize, 0, 1).map((batchIdx) => {\n const input = this.getInput(batchIdx);\n\n if (input instanceof tf.Tensor) {\n let imgTensor = isTensor4D(input) ? input : tf.expandDims(input);\n imgTensor = padToSquare(imgTensor as tf.Tensor4D, isCenterInputs);\n\n if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {\n imgTensor = tf['image'].resizeBilinear(imgTensor as tf.Tensor4D, [inputSize, inputSize], false, false);\n }\n\n return imgTensor.as3D(inputSize, inputSize, 3);\n }\n\n if (input instanceof env.getEnv().Canvas) {\n return tf['browser'].fromPixels(imageToSquare(input, inputSize, isCenterInputs));\n }\n\n throw new Error(`toBatchTensor - at batchIdx ${batchIdx}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${input}`);\n });\n\n const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))).as4D(this.batchSize, inputSize, inputSize, 3);\n // const batchTensor = tf.stack(inputTensors.map((t) => tf.cast(t, 'float32'))) as tf.Tensor4D;\n\n return batchTensor;\n });\n }\n}\n", "import { isTensor3D, isTensor4D } from '../utils/index';\nimport { awaitMediaLoaded } from './awaitMediaLoaded';\nimport { isMediaElement } from './isMediaElement';\nimport { NetInput } from './NetInput';\nimport { resolveInput } from './resolveInput';\nimport { TNetInput } from './types';\n\n/**\n * Validates the input to make sure, they are valid net inputs and awaits all media elements\n * to be finished loading.\n *\n * @param input The input, which can be a media element or an array of different media elements.\n * @returns A NetInput instance, which can be passed into one of the neural networks.\n */\nexport async function toNetInput(inputs: TNetInput): Promise {\n if (inputs instanceof NetInput) return inputs;\n const inputArgArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArgArray.length) throw new Error('toNetInput - empty array passed as input');\n const getIdxHint = (idx: number) => (Array.isArray(inputs) ? ` at input index ${idx}:` : '');\n const inputArray = inputArgArray.map(resolveInput);\n inputArray.forEach((input, i) => {\n if (!isMediaElement(input) && !isTensor3D(input) && !isTensor4D(input)) {\n if (typeof inputArgArray[i] === 'string') throw new Error(`toNetInput -${getIdxHint(i)} string passed, but could not resolve HTMLElement for element id ${inputArgArray[i]}`);\n throw new Error(`toNetInput -${getIdxHint(i)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);\n }\n if (isTensor4D(input)) {\n // if tf.Tensor4D is passed in the input array, the batch size has to be 1\n const batchSize = input.shape[0];\n if (batchSize !== 1) throw new Error(`toNetInput -${getIdxHint(i)} tf.Tensor4D with batchSize ${batchSize} passed, but not supported in input array`);\n }\n });\n // wait for all media elements being loaded\n await Promise.all(inputArray.map((input) => isMediaElement(input) && awaitMediaLoaded(input)));\n return new NetInput(inputArray, Array.isArray(inputs));\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { Rect } from '../classes/Rect';\nimport { env } from '../env/index';\nimport { createCanvas } from './createCanvas';\nimport { getContext2dOrThrow } from './getContext2dOrThrow';\nimport { imageTensorToCanvas } from './imageTensorToCanvas';\nimport { toNetInput } from './toNetInput';\nimport { TNetInput } from './types';\n\n/**\n * Extracts the image regions containing the detected faces.\n *\n * @param input The image that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns The Canvases of the corresponding image region for each detected face.\n */\nexport async function extractFaces(input: TNetInput, detections: Array): Promise {\n const { Canvas } = env.getEnv();\n let canvas = input as HTMLCanvasElement;\n if (!(input instanceof Canvas)) {\n const netInput = await toNetInput(input);\n if (netInput.batchSize > 1) throw new Error('extractFaces - batchSize > 1 not supported');\n const tensorOrCanvas = netInput.getInput(0);\n canvas = tensorOrCanvas instanceof Canvas ? tensorOrCanvas : await imageTensorToCanvas(tensorOrCanvas);\n }\n const ctx = getContext2dOrThrow(canvas);\n const boxes = detections\n .map((det) => (det instanceof FaceDetection ? det.forSize(canvas.width, canvas.height).box.floor() : det))\n .map((box) => box.clipAtImageBorders(canvas.width, canvas.height));\n return boxes.map(({ x, y, width, height }) => {\n const faceImg = createCanvas({ width, height });\n if (width > 0 && height > 0) getContext2dOrThrow(faceImg).putImageData(ctx.getImageData(x, y, width, height), 0, 0);\n return faceImg;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { isTensor3D, isTensor4D } from '../utils/index';\n\n/**\n * Extracts the tensors of the image regions containing the detected faces.\n * Useful if you want to compute the face descriptors for the face images.\n * Using this method is faster then extracting a canvas for each face and\n * converting them to tensors individually.\n *\n * @param imageTensor The image tensor that face detection has been performed on.\n * @param detections The face detection results or face bounding boxes for that image.\n * @returns Tensors of the corresponding image region for each detected face.\n */\nexport async function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise {\n if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {\n throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');\n }\n\n if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {\n throw new Error('extractFaceTensors - batchSize > 1 not supported');\n }\n\n return tf.tidy(() => {\n const [imgHeight, imgWidth, numChannels] = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0);\n const boxes = detections.map((det) => (det instanceof FaceDetection ? det.forSize(imgWidth, imgHeight).box : det))\n .map((box) => box.clipAtImageBorders(imgWidth, imgHeight));\n const faceTensors = boxes\n .filter((box) => box.width > 0 && box.height > 0)\n .map(({ x, y, width, height }) => tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]));\n return faceTensors;\n });\n}\n", "import { env } from '../env/index';\n\nexport async function fetchOrThrow(\n url: string,\n // eslint-disable-next-line no-undef\n init?: RequestInit,\n): Promise {\n const { fetch } = env.getEnv();\n const res = await fetch(url, init);\n if (!(res.status < 400)) {\n throw new Error(`failed to fetch: (${res.status}) ${res.statusText}, from url: ${res.url}`);\n }\n return res;\n}\n", "import { bufferToImage } from './bufferToImage';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchImage(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('image/')) {\n throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToImage(blob);\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchJson(uri: string): Promise {\n return (await fetchOrThrow(uri)).json();\n}\n", "import { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchNetWeights(uri: string): Promise {\n return new Float32Array(await (await fetchOrThrow(uri)).arrayBuffer());\n}\n", "import { env } from '../env/index';\n\nexport function bufferToVideo(buf: Blob): Promise {\n return new Promise((resolve, reject) => {\n if (!(buf instanceof Blob)) reject(new Error('bufferToVideo - expected buf to be of type: Blob'));\n\n const video = env.getEnv().createVideoElement();\n video.oncanplay = () => resolve(video);\n video.onerror = reject;\n video.playsInline = true;\n video.muted = true;\n video.src = URL.createObjectURL(buf);\n video.play();\n });\n}\n", "import { bufferToVideo } from './bufferToVideo';\nimport { fetchOrThrow } from './fetchOrThrow';\n\nexport async function fetchVideo(uri: string): Promise {\n const res = await fetchOrThrow(uri);\n const blob = await (res).blob();\n\n if (!blob.type.startsWith('video/')) {\n throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${blob.type}, for url: ${res.url}`);\n }\n return bufferToVideo(blob);\n}\n", "export function getModelUris(uri: string | undefined, defaultModelName: string) {\n const defaultManifestFilename = `${defaultModelName}-weights_manifest.json`;\n\n if (!uri) {\n return {\n modelBaseUri: '',\n manifestUri: defaultManifestFilename,\n };\n }\n\n if (uri === '/') {\n return {\n modelBaseUri: '/',\n manifestUri: `/${defaultManifestFilename}`,\n };\n }\n // eslint-disable-next-line no-nested-ternary\n const protocol = uri.startsWith('http://') ? 'http://' : uri.startsWith('https://') ? 'https://' : '';\n uri = uri.replace(protocol, '');\n\n const parts = uri.split('/').filter((s) => s);\n\n const manifestFile = uri.endsWith('.json')\n ? parts[parts.length - 1]\n : defaultManifestFilename;\n\n let modelBaseUri = protocol + (uri.endsWith('.json') ? parts.slice(0, parts.length - 1) : parts).join('/');\n modelBaseUri = uri.startsWith('/') ? `/${modelBaseUri}` : modelBaseUri;\n\n return {\n modelBaseUri,\n manifestUri: modelBaseUri === '/' ? `/${manifestFile}` : `${modelBaseUri}/${manifestFile}`,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { getModelUris } from '../common/getModelUris';\nimport { fetchJson } from './fetchJson';\n\nexport async function loadWeightMap(\n uri: string | undefined,\n defaultModelName: string,\n): Promise {\n const { manifestUri, modelBaseUri } = getModelUris(uri, defaultModelName);\n // @ts-ignore\n const manifest = await fetchJson(manifestUri);\n // if (manifest['weightsManifest']) manifest = manifest['weightsManifest'];\n return tf['io'].loadWeights(manifest, modelBaseUri);\n}\n", "import { IDimensions } from '../classes/index';\nimport { getMediaDimensions } from './getMediaDimensions';\n\nexport function matchDimensions(input: IDimensions, reference: IDimensions, useMediaDimensions = false) {\n const { width, height } = useMediaDimensions\n ? getMediaDimensions(reference)\n : reference;\n input.width = width;\n input.height = height;\n return { width, height };\n}\n", "import * as tf from '../dist/tfjs.esm';\n\nimport { ParamMapping } from './common/index';\nimport { getModelUris } from './common/getModelUris';\nimport { loadWeightMap } from './dom/index';\nimport { env } from './env/index';\n\nexport abstract class NeuralNetwork {\n constructor(name: string) {\n this._name = name;\n }\n\n protected _params: TNetParams | undefined = undefined;\n\n protected _paramMappings: ParamMapping[] = [];\n\n public _name: any;\n\n public get params(): TNetParams | undefined { return this._params; }\n\n public get paramMappings(): ParamMapping[] { return this._paramMappings; }\n\n public get isLoaded(): boolean { return !!this.params; }\n\n public getParamFromPath(paramPath: string): tf.Tensor {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n return obj[objProp];\n }\n\n public reassignParamFromPath(paramPath: string, tensor: tf.Tensor) {\n const { obj, objProp } = this.traversePropertyPath(paramPath);\n obj[objProp].dispose();\n obj[objProp] = tensor;\n }\n\n public getParamList() {\n return this._paramMappings.map(({ paramPath }) => ({\n path: paramPath,\n tensor: this.getParamFromPath(paramPath),\n }));\n }\n\n public getTrainableParams() {\n return this.getParamList().filter((param) => param.tensor instanceof tf.Variable);\n }\n\n public getFrozenParams() {\n return this.getParamList().filter((param) => !(param.tensor instanceof tf.Variable));\n }\n\n public variable() {\n this.getFrozenParams().forEach(({ path, tensor }) => {\n this.reassignParamFromPath(path, tensor.variable());\n });\n }\n\n public freeze() {\n this.getTrainableParams().forEach(({ path, tensor: variable }) => {\n const tensor = tf.tensor(variable.dataSync());\n variable.dispose();\n this.reassignParamFromPath(path, tensor);\n });\n }\n\n public dispose(throwOnRedispose = true) {\n this.getParamList().forEach((param) => {\n if (throwOnRedispose && param.tensor.isDisposed) {\n throw new Error(`param tensor has already been disposed for path ${param.path}`);\n }\n param.tensor.dispose();\n });\n this._params = undefined;\n }\n\n public serializeParams(): Float32Array {\n return new Float32Array(\n this.getParamList()\n .map(({ tensor }) => Array.from(tensor.dataSync()) as number[])\n .reduce((flat, arr) => flat.concat(arr)),\n );\n }\n\n public async load(weightsOrUrl: Float32Array | string | undefined): Promise {\n if (weightsOrUrl instanceof Float32Array) {\n this.extractWeights(weightsOrUrl);\n return;\n }\n await this.loadFromUri(weightsOrUrl);\n }\n\n public async loadFromUri(uri: string | undefined) {\n if (uri && typeof uri !== 'string') {\n throw new Error(`${this._name}.loadFromUri - expected model uri`);\n }\n const weightMap = await loadWeightMap(uri, this.getDefaultModelName());\n this.loadFromWeightMap(weightMap);\n }\n\n public async loadFromDisk(filePath: string | undefined) {\n if (filePath && typeof filePath !== 'string') {\n throw new Error(`${this._name}.loadFromDisk - expected model file path`);\n }\n const { readFile } = env.getEnv();\n const { manifestUri, modelBaseUri } = getModelUris(filePath, this.getDefaultModelName());\n const fetchWeightsFromDisk = (filePaths: string[]) => Promise.all(filePaths.map((fp) => readFile(fp).then((buf) => buf.buffer)));\n const loadWeights = tf['io'].weightsLoaderFactory(fetchWeightsFromDisk);\n const manifest = JSON.parse((await readFile(manifestUri)).toString());\n const weightMap = await loadWeights(manifest, modelBaseUri);\n this.loadFromWeightMap(weightMap);\n }\n\n public loadFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { paramMappings, params } = this.extractParamsFromWeightMap(weightMap);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n public extractWeights(weights: Float32Array) {\n const { paramMappings, params } = this.extractParams(weights);\n this._paramMappings = paramMappings;\n this._params = params;\n }\n\n private traversePropertyPath(paramPath: string) {\n if (!this.params) {\n throw new Error('traversePropertyPath - model has no loaded params');\n }\n\n const result = paramPath.split('/').reduce((res: { nextObj: any, obj?: any, objProp?: string }, objProp) => {\n // eslint-disable-next-line no-prototype-builtins\n if (!res.nextObj.hasOwnProperty(objProp)) {\n throw new Error(`traversePropertyPath - object does not have property ${objProp}, for path ${paramPath}`);\n }\n return { obj: res.nextObj, objProp, nextObj: res.nextObj[objProp] };\n }, { nextObj: this.params });\n\n const { obj, objProp } = result;\n if (!obj || !objProp || !(obj[objProp] instanceof tf.Tensor)) {\n throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${paramPath}`);\n }\n\n return { obj, objProp };\n }\n\n protected abstract getDefaultModelName(): string\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TNetParams, paramMappings: ParamMapping[] }\n\n // eslint-disable-next-line no-unused-vars\n protected abstract extractParams(weights: Float32Array): { params: TNetParams, paramMappings: ParamMapping[] }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from './types';\n\nexport function depthwiseSeparableConv(\n x: tf.Tensor4D,\n params: SeparableConvParams,\n stride: [number, number],\n): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');\n out = tf.add(out, params.bias);\n return out;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, SeparableConvParams } from '../common/index';\nimport { depthwiseSeparableConv } from '../common/depthwiseSeparableConv';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function denseBlock3(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock3Params,\n isFirstLayer = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, [2, 2], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, [2, 2]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n });\n}\n\nexport function denseBlock4(\n x: tf.Tensor4D,\n denseBlockParams: DenseBlock4Params,\n isFirstLayer = false,\n isScaleDown = true,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out1 = tf.relu(\n isFirstLayer\n ? tf.add(\n tf.conv2d(x, (denseBlockParams.conv0 as ConvParams).filters, isScaleDown ? [2, 2] : [1, 1], 'same'),\n denseBlockParams.conv0.bias,\n )\n : depthwiseSeparableConv(x, denseBlockParams.conv0 as SeparableConvParams, isScaleDown ? [2, 2] : [1, 1]),\n ) as tf.Tensor4D;\n const out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);\n\n const in3 = tf.relu(tf.add(out1, out2)) as tf.Tensor4D;\n const out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);\n\n const in4 = tf.relu(tf.add(out1, tf.add(out2, out3))) as tf.Tensor4D;\n const out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);\n\n return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4)))) as tf.Tensor4D;\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\nexport function convLayer(\n x: tf.Tensor4D,\n params: ConvParams,\n padding: 'valid' | 'same' = 'same',\n withRelu = false,\n): tf.Tensor4D {\n return tf.tidy(() => {\n const out = tf.add(\n tf.conv2d(x, params.filters, [1, 1], padding),\n params.bias,\n ) as tf.Tensor4D;\n\n return withRelu ? tf.relu(out) : out;\n });\n}\n", "import { ParamMapping } from './types';\n\nexport function disposeUnusedWeightTensors(weightMap: any, paramMappings: ParamMapping[]) {\n Object.keys(weightMap).forEach((path) => {\n if (!paramMappings.some((pm) => pm.originalPath === path)) {\n weightMap[path].dispose();\n }\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, ExtractWeightsFunction, ParamMapping } from './types';\n\nexport function extractConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams => {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, FCParams, ParamMapping } from './types';\n\nexport function extractFCParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): FCParams => {\n const fc_weights = tf.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);\n const fc_bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return {\n weights: fc_weights,\n bias: fc_bias,\n };\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\n// eslint-disable-next-line no-unused-vars\nexport type ExtractWeightsFunction = (numWeights: number) => Float32Array\n\nexport type ParamMapping = {\n originalPath?: string\n paramPath: string\n}\n\nexport type ConvParams = {\n filters: tf.Tensor4D\n bias: tf.Tensor1D\n}\n\nexport type FCParams = {\n weights: tf.Tensor2D\n bias: tf.Tensor1D\n}\n\nexport class SeparableConvParams {\n // eslint-disable-next-line no-useless-constructor\n constructor(\n // eslint-disable-next-line no-unused-vars\n public depthwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public pointwise_filter: tf.Tensor4D,\n // eslint-disable-next-line no-unused-vars\n public bias: tf.Tensor1D,\n // eslint-disable-next-line no-empty-function\n ) {}\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, SeparableConvParams } from './types';\n\nexport function extractSeparableConvParamsFactory(\n extractWeights: ExtractWeightsFunction,\n paramMappings: ParamMapping[],\n) {\n return (channelsIn: number, channelsOut: number, mappedPrefix: string): SeparableConvParams => {\n const depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);\n const pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/depthwise_filter` },\n { paramPath: `${mappedPrefix}/pointwise_filter` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n\nexport function loadSeparableConvParamsFactory(\n // eslint-disable-next-line no-unused-vars\n extractWeightEntry: (originalPath: string, paramRank: number) => T,\n) {\n return (prefix: string): SeparableConvParams => {\n const depthwise_filter = extractWeightEntry(`${prefix}/depthwise_filter`, 4);\n const pointwise_filter = extractWeightEntry(`${prefix}/pointwise_filter`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return new SeparableConvParams(\n depthwise_filter,\n pointwise_filter,\n bias,\n );\n };\n}\n", "import { isTensor } from '../utils/index';\nimport { ParamMapping } from './types';\n\nexport function extractWeightEntryFactory(weightMap: any, paramMappings: ParamMapping[]) {\n return (originalPath: string, paramRank: number, mappedPath?: string) => {\n const tensor = weightMap[originalPath];\n\n if (!isTensor(tensor, paramRank)) {\n throw new Error(`expected weightMap[${originalPath}] to be a Tensor${paramRank}D, instead have ${tensor}`);\n }\n\n paramMappings.push(\n { originalPath, paramPath: mappedPath || originalPath },\n );\n\n return tensor;\n };\n}\n", "export function extractWeightsFactory(weights: Float32Array) {\n let remainingWeights = weights;\n\n function extractWeights(numWeights: number): Float32Array {\n const ret = remainingWeights.slice(0, numWeights);\n remainingWeights = remainingWeights.slice(numWeights);\n return ret;\n }\n\n function getRemainingWeights(): Float32Array {\n return remainingWeights;\n }\n\n return {\n extractWeights,\n getRemainingWeights,\n };\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractDenseBlock3Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv0`)\n : extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/conv0`);\n const conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv1`);\n const conv2 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer = false): DenseBlock4Params {\n const { conv0, conv1, conv2 } = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer);\n const conv3 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock4Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock4Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock4Params(64, 128, 'dense2');\n const dense3 = extractDenseBlock4Params(128, 256, 'dense3');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: {\n dense0, dense1, dense2, dense3,\n },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from './types';\n\n// eslint-disable-next-line no-unused-vars\nexport function loadConvParamsFactory(extractWeightEntry: (originalPath: string, paramRank: number) => T) {\n return (prefix: string): ConvParams => {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n\n return { filters, bias };\n };\n}\n", "import { extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { DenseBlock3Params, DenseBlock4Params } from './types';\n\nexport function loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractDenseBlock3Params(prefix: string, isFirstLayer = false): DenseBlock3Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n\n return { conv0, conv1, conv2 };\n }\n\n function extractDenseBlock4Params(prefix: string, isFirstLayer = false): DenseBlock4Params {\n const conv0 = isFirstLayer\n ? extractConvParams(`${prefix}/conv0`)\n : extractSeparableConvParams(`${prefix}/conv0`);\n const conv1 = extractSeparableConvParams(`${prefix}/conv1`);\n const conv2 = extractSeparableConvParams(`${prefix}/conv2`);\n const conv3 = extractSeparableConvParams(`${prefix}/conv3`);\n\n return {\n conv0, conv1, conv2, conv3,\n };\n }\n\n return {\n extractDenseBlock3Params,\n extractDenseBlock4Params,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { FaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: FaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock4Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock4Params('dense0', true),\n dense1: extractDenseBlock4Params('dense1'),\n dense2: extractDenseBlock4Params('dense2'),\n dense3: extractDenseBlock4Params('dense3'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock4 } from './denseBlock';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';\n\nexport class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('FaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock4(normalized, params.dense0, true);\n out = denseBlock4(out, params.dense1);\n out = denseBlock4(out, params.dense2);\n out = denseBlock4(out, params.dense3);\n out = tf.avgPool(out, [7, 7], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from './types';\n\nexport function fullyConnectedLayer(\n x: tf.Tensor2D,\n params: FCParams,\n): tf.Tensor2D {\n return tf.tidy(() => tf.add(\n tf.matMul(x, params.weights),\n params.bias,\n ));\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const fc = extractFCParams(channelsIn, channelsOut, 'fc');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: extractFcParams('fc'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function seperateWeightMaps(weightMap: tf.NamedTensorMap) {\n const featureExtractorMap: tf.NamedTensorMap = {};\n const classifierMap: tf.NamedTensorMap = {};\n\n Object.keys(weightMap).forEach((key) => {\n const map = key.startsWith('fc') ? classifierMap : featureExtractorMap;\n map[key] = weightMap[key];\n });\n\n return { featureExtractorMap, classifierMap };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { NetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { NetParams } from './types';\nimport { seperateWeightMaps } from './util';\n\nexport abstract class FaceProcessor<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends NeuralNetwork {\n protected _faceFeatureExtractor: IFaceFeatureExtractor;\n\n constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor) {\n super(_name);\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): IFaceFeatureExtractor {\n return this._faceFeatureExtractor;\n }\n\n protected abstract override getDefaultModelName(): string\n\n protected abstract getClassifierChannelsIn(): number\n\n protected abstract getClassifierChannelsOut(): number\n\n public runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);\n });\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const cIn = this.getClassifierChannelsIn();\n const cOut = this.getClassifierChannelsOut();\n const classifierWeightSize = (cOut * cIn) + cOut;\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "export const FACE_EXPRESSION_LABELS = ['neutral', 'happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'];\n\nexport class FaceExpressions {\n public neutral = 0;\n public happy = 0;\n public sad = 0;\n public angry = 0;\n public fearful = 0;\n public disgusted = 0;\n public surprised = 0;\n\n constructor(probabilities: number[] | Float32Array) {\n if (probabilities.length !== 7) {\n throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${probabilities.length}`);\n }\n\n FACE_EXPRESSION_LABELS.forEach((expression, idx) => {\n this[expression] = probabilities[idx];\n });\n }\n\n asSortedArray() {\n return FACE_EXPRESSION_LABELS\n .map((expression) => ({ expression, probability: this[expression] as number }))\n .sort((e0, e1) => e1.probability - e0.probability);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { FaceExpressions } from './FaceExpressions';\n\nexport class FaceExpressionNet extends FaceProcessor {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceExpressionNet', faceFeatureExtractor);\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D {\n return tf.tidy(() => tf.softmax(this.runNet(input)));\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictExpressions(input: TNetInput) {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n const probabilitesByBatch = await Promise.all(tf.unstack(out).map(async (t) => {\n const data = t.dataSync();\n t.dispose();\n return data;\n }));\n out.dispose();\n\n const predictionsByBatch = probabilitesByBatch\n .map((probabilites) => new FaceExpressions(probabilites as Float32Array));\n\n return netInput.isBatchInput\n ? predictionsByBatch\n : predictionsByBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_expression_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n\n protected getClassifierChannelsOut(): number {\n return 7;\n }\n}\n", "import { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\n\nexport type WithFaceExpressions = TSource & { expressions: FaceExpressions }\n\nexport function isWithFaceExpressions(obj: any): obj is WithFaceExpressions<{}> {\n return obj.expressions instanceof FaceExpressions;\n}\n\nexport function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressions): WithFaceExpressions {\n const extension = { expressions };\n return { ...sourceObj, ...extension };\n}\n", "import { IPoint, Point } from '../classes/index';\nimport { FaceExpressions } from '../faceExpressionNet/index';\nimport { isWithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { round } from '../utils/index';\nimport { DrawTextField } from './DrawTextField';\n\nexport type DrawFaceExpressionsInput = FaceExpressions | WithFaceExpressions<{}>\n\nexport function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | Array, minConfidence = 0.1, textFieldAnchor?: IPoint) {\n const faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];\n\n faceExpressionsArray.forEach((e) => {\n // eslint-disable-next-line no-nested-ternary\n const expr = e instanceof FaceExpressions\n ? e\n : (isWithFaceExpressions(e) ? e.expressions : undefined);\n if (!expr) {\n throw new Error('drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof');\n }\n\n const sorted = expr.asSortedArray();\n const resultsToDisplay = sorted.filter((exprLocal) => exprLocal.probability > minConfidence);\n\n const anchor = isWithFaceDetection(e)\n ? e.detection.box.bottomLeft\n : (textFieldAnchor || new Point(0, 0));\n\n const drawTextField = new DrawTextField(\n resultsToDisplay.map((exprLocal) => `${exprLocal.expression} (${round(exprLocal.probability)})`),\n anchor,\n );\n drawTextField.draw(canvasArg);\n });\n}\n", "import { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { isWithFaceDetection, WithFaceDetection } from './WithFaceDetection';\n\nexport type WithFaceLandmarks<\n TSource extends WithFaceDetection<{}>,\n TFaceLandmarks extends FaceLandmarks = FaceLandmarks68\n> = TSource & {\n landmarks: TFaceLandmarks;\n unshiftedLandmarks: TFaceLandmarks;\n alignedRect: FaceDetection;\n angle: {\n roll: number | undefined;\n pitch: number | undefined;\n yaw: number | undefined;\n };\n};\n\nexport function isWithFaceLandmarks(\n obj: any,\n): obj is WithFaceLandmarks, FaceLandmarks> {\n return (\n isWithFaceDetection(obj)\n // eslint-disable-next-line dot-notation\n && obj['landmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['unshiftedLandmarks'] instanceof FaceLandmarks\n // eslint-disable-next-line dot-notation\n && obj['alignedRect'] instanceof FaceDetection\n );\n}\n\nfunction calculateFaceAngle(mesh) {\n // Helper to convert radians to degrees\n // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n const degrees = (radians) => (radians * 180) / Math.PI;\n const calcLengthBetweenTwoPoints = (a, b) => Math.sqrt((a._x - b._x) ** 2 + (a._y - b._y) ** 2);\n\n const angle = {\n roll: undefined,\n pitch: undefined,\n yaw: undefined,\n };\n\n const calcYaw = (leftPoint, midPoint, rightPoint) => {\n // Calc x-distance from left side of the face (\"ear\") to facial midpoint (\"nose\")\n const leftToMidpoint = Math.floor(leftPoint._x - midPoint._x);\n // Calc x-distance from facial midpoint (\"nose\") to the right side of the face (\"ear\")\n const rightToMidpoint = Math.floor(midPoint._x - rightPoint._x);\n // Difference in distances coincidentally approximates to angles\n return leftToMidpoint - rightToMidpoint;\n };\n\n const calcRoll = (lever, pivot) => {\n // When rolling, the head seems to pivot from the nose/lips/chin area.\n // So, we'll choose any two points from the facial midline, where the first point should be the pivot, and the other \"lever\"\n // Plan/Execution: get the hypotenuse & opposite sides of a 90deg triangle ==> Calculate angle in radians\n const hypotenuse = Math.hypot(pivot._x - lever._x, pivot._y - lever._y);\n const opposite = pivot._y - lever._y;\n const angleInRadians = Math.asin(opposite / hypotenuse);\n const angleInDegrees = degrees(angleInRadians);\n const normalizeAngle = Math.floor(90 - angleInDegrees);\n // If lever more to the left of the pivot, then we're tilting left\n // \"-\" is negative direction. \"+\", or absence of a sign is positive direction\n const tiltDirection = pivot._x - lever._x < 0 ? -1 : 1;\n const result = normalizeAngle * tiltDirection;\n return result;\n };\n\n const calcPitch = (leftPoint, midPoint, rightPoint) => {\n // Theory: While pitching, the nose is the most salient point --> That's what we'll use to make a trianle.\n // The \"base\" is between point that don't move when we pitch our head (i.e. an imaginary line running ear to ear through the nose).\n // Executuin: Get the opposite & adjacent lengths of the triangle from the ear's perspective. Use it to get angle.\n\n const base = calcLengthBetweenTwoPoints(leftPoint, rightPoint);\n // adjecent is base/2 technically.\n const baseCoords = {\n _x: (leftPoint._x + rightPoint._x) / 2,\n _y: (leftPoint._y + rightPoint._y) / 2,\n };\n const midToBaseLength = calcLengthBetweenTwoPoints(midPoint, baseCoords);\n const angleInRadians = Math.atan(midToBaseLength / base);\n const angleInDegrees = Math.floor(degrees(angleInRadians));\n // Account for directionality.\n // pitch forwards (_i.e. tilting your head forwards) is positive (or no sign); backward is negative.\n const direction = baseCoords._y - midPoint._y < 0 ? -1 : 1;\n const result = angleInDegrees * direction;\n return result;\n };\n\n if (!mesh || !mesh._positions || mesh._positions.length !== 68) return angle;\n const pt = mesh._positions;\n angle.roll = calcRoll(pt[27], pt[66]);\n angle.pitch = calcPitch(pt[14], pt[30], pt[2]);\n angle.yaw = calcYaw(pt[14], pt[33], pt[2]);\n return angle;\n}\n\nexport function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68>(\n sourceObj: TSource,\n unshiftedLandmarks: TFaceLandmarks,\n): WithFaceLandmarks {\n const { box: shift } = sourceObj.detection;\n const landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);\n const rect = landmarks.align();\n const { imageDims } = sourceObj.detection;\n const alignedRect = new FaceDetection(\n sourceObj.detection.score,\n rect.rescale(imageDims.reverse()),\n imageDims,\n );\n const angle = calculateFaceAngle(unshiftedLandmarks);\n const extension = { landmarks, unshiftedLandmarks, alignedRect, angle };\n return { ...sourceObj, ...extension };\n}\n", "/* eslint-disable max-classes-per-file */\nimport { IPoint } from '../classes/index';\nimport { FaceLandmarks } from '../classes/FaceLandmarks';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { getContext2dOrThrow } from '../dom/getContext2dOrThrow';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { drawContour } from './drawContour';\n\nexport interface IDrawFaceLandmarksOptions {\n drawLines?: boolean\n drawPoints?: boolean\n lineWidth?: number\n pointSize?: number\n lineColor?: string\n pointColor?: string\n}\n\nexport class DrawFaceLandmarksOptions {\n public drawLines: boolean;\n\n public drawPoints: boolean;\n\n public lineWidth: number;\n\n public pointSize: number;\n\n public lineColor: string;\n\n public pointColor: string;\n\n constructor(options: IDrawFaceLandmarksOptions = {}) {\n const {\n drawLines = true, drawPoints = true, lineWidth, lineColor, pointSize, pointColor,\n } = options;\n this.drawLines = drawLines;\n this.drawPoints = drawPoints;\n this.lineWidth = lineWidth || 1;\n this.pointSize = pointSize || 2;\n this.lineColor = lineColor || 'rgba(0, 255, 255, 1)';\n this.pointColor = pointColor || 'rgba(255, 0, 255, 1)';\n }\n}\n\nexport class DrawFaceLandmarks {\n public faceLandmarks: FaceLandmarks;\n\n public options: DrawFaceLandmarksOptions;\n\n constructor(\n faceLandmarks: FaceLandmarks,\n options: IDrawFaceLandmarksOptions = {},\n ) {\n this.faceLandmarks = faceLandmarks;\n this.options = new DrawFaceLandmarksOptions(options);\n }\n\n draw(canvasArg: string | HTMLCanvasElement | CanvasRenderingContext2D) {\n const ctx = getContext2dOrThrow(canvasArg);\n\n const {\n drawLines, drawPoints, lineWidth, lineColor, pointSize, pointColor,\n } = this.options;\n\n if (drawLines && this.faceLandmarks instanceof FaceLandmarks68) {\n ctx.strokeStyle = lineColor;\n ctx.lineWidth = lineWidth;\n drawContour(ctx, this.faceLandmarks.getJawOutline());\n drawContour(ctx, this.faceLandmarks.getLeftEyeBrow());\n drawContour(ctx, this.faceLandmarks.getRightEyeBrow());\n drawContour(ctx, this.faceLandmarks.getNose());\n drawContour(ctx, this.faceLandmarks.getLeftEye(), true);\n drawContour(ctx, this.faceLandmarks.getRightEye(), true);\n drawContour(ctx, this.faceLandmarks.getMouth(), true);\n }\n\n if (drawPoints) {\n ctx.strokeStyle = pointColor;\n ctx.fillStyle = pointColor;\n\n const drawPoint = (pt: IPoint) => {\n ctx.beginPath();\n ctx.arc(pt.x, pt.y, pointSize, 0, 2 * Math.PI);\n ctx.fill();\n };\n this.faceLandmarks.positions.forEach(drawPoint);\n }\n }\n}\n\nexport type DrawFaceLandmarksInput = FaceLandmarks | WithFaceLandmarks>\n\nexport function drawFaceLandmarks(\n canvasArg: string | HTMLCanvasElement,\n faceLandmarks: DrawFaceLandmarksInput | Array,\n) {\n const faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];\n faceLandmarksArray.forEach((f) => {\n // eslint-disable-next-line no-nested-ternary\n const landmarks = f instanceof FaceLandmarks\n ? f\n : (isWithFaceLandmarks(f) ? f.landmarks : undefined);\n if (!landmarks) {\n throw new Error('drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof');\n }\n\n new DrawFaceLandmarks(landmarks).draw(canvasArg);\n });\n}\n", "{\n \"name\": \"@vladmandic/face-api\",\n \"version\": \"1.7.8\",\n \"description\": \"FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS\",\n \"sideEffects\": false,\n \"main\": \"dist/face-api.node.js\",\n \"module\": \"dist/face-api.esm.js\",\n \"browser\": \"dist/face-api.esm.js\",\n \"types\": \"types/face-api.d.ts\",\n \"author\": \"Vladimir Mandic \",\n \"bugs\": {\n \"url\": \"https://github.com/vladmandic/face-api/issues\"\n },\n \"homepage\": \"https://vladmandic.github.io/face-api/demo/webcam.html\",\n \"license\": \"MIT\",\n \"engines\": {\n \"node\": \">=14.0.0\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/vladmandic/face-api.git\"\n },\n \"scripts\": {\n \"start\": \"node --no-warnings demo/node.js\",\n \"dev\": \"build --profile development\",\n \"build\": \"node build.js\",\n \"lint\": \"eslint src/ demo/\",\n \"test\": \"node --trace-warnings test/test-node.js\",\n \"scan\": \"npx auditjs@latest ossi --dev --quiet\"\n },\n \"keywords\": [\n \"face-api\",\n \"faceapi\",\n \"face-detection\",\n \"age-gender\",\n \"emotion-detection\",\n \"face-recognition\",\n \"face\",\n \"face-description\",\n \"tensorflow\",\n \"tensorflowjs\",\n \"tfjs\"\n ],\n \"devDependencies\": {\n \"@canvas/image\": \"^1.0.1\",\n \"@microsoft/api-extractor\": \"^7.33.8\",\n \"@tensorflow/tfjs\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-cpu\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-wasm\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgl\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgpu\": \"0.0.1-alpha.17\",\n \"@tensorflow/tfjs-converter\": \"^4.2.0\",\n \"@tensorflow/tfjs-core\": \"^4.2.0\",\n \"@tensorflow/tfjs-data\": \"^4.2.0\",\n \"@tensorflow/tfjs-layers\": \"^4.2.0\",\n \"@tensorflow/tfjs-node\": \"^4.2.0\",\n \"@tensorflow/tfjs-node-gpu\": \"^4.2.0\",\n \"@types/node\": \"^18.11.18\",\n \"@types/offscreencanvas\": \"^2019.7.0\",\n \"@typescript-eslint/eslint-plugin\": \"^5.48.2\",\n \"@typescript-eslint/parser\": \"^5.48.2\",\n \"@vladmandic/build\": \"^0.7.15\",\n \"@vladmandic/pilogger\": \"^0.4.7\",\n \"esbuild\": \"^0.17.3\",\n \"eslint\": \"^8.32.0\",\n \"eslint-config-airbnb-base\": \"^15.0.0\",\n \"eslint-plugin-import\": \"^2.27.5\",\n \"eslint-plugin-json\": \"^3.1.0\",\n \"eslint-plugin-node\": \"^11.1.0\",\n \"eslint-plugin-promise\": \"^6.1.1\",\n \"rimraf\": \"^4.1.1\",\n \"seedrandom\": \"^3.0.5\",\n \"tslib\": \"^2.4.1\",\n \"typedoc\": \"^0.23.24\",\n \"typescript\": \"4.9.4\"\n }\n}\n", "import { extractConvParamsFactory, extractSeparableConvParamsFactory, extractWeightsFactory } from '../common/index';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n function extractReductionBlockParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(channelsIn, channelsOut, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channelsOut, channelsOut, `${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(channels: number, mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(channels, channels, `${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParams(weights: Float32Array, numMainBlocks: number): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const entry_flow_conv_in = extractConvParams(3, 32, 3, 'entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams(32, 64, 'entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams(64, 128, 'entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(128, `middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams(128, 256, 'exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams(256, 512, 'exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { entry_flow, middle_flow, exit_flow },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, loadSeparableConvParamsFactory, ParamMapping } from '../common/index';\nimport { loadConvParamsFactory } from '../common/loadConvParamsFactory';\nimport { range } from '../utils/index';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n const extractConvParams = loadConvParamsFactory(extractWeightEntry);\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n\n function extractReductionBlockParams(mappedPrefix: string): ReductionBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const expansion_conv = extractConvParams(`${mappedPrefix}/expansion_conv`);\n\n return { separable_conv0, separable_conv1, expansion_conv };\n }\n\n function extractMainBlockParams(mappedPrefix: string): MainBlockParams {\n const separable_conv0 = extractSeparableConvParams(`${mappedPrefix}/separable_conv0`);\n const separable_conv1 = extractSeparableConvParams(`${mappedPrefix}/separable_conv1`);\n const separable_conv2 = extractSeparableConvParams(`${mappedPrefix}/separable_conv2`);\n\n return { separable_conv0, separable_conv1, separable_conv2 };\n }\n\n return {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n numMainBlocks: number,\n): { params: TinyXceptionParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractSeparableConvParams,\n extractReductionBlockParams,\n extractMainBlockParams,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const entry_flow_conv_in = extractConvParams('entry_flow/conv_in');\n const entry_flow_reduction_block_0 = extractReductionBlockParams('entry_flow/reduction_block_0');\n const entry_flow_reduction_block_1 = extractReductionBlockParams('entry_flow/reduction_block_1');\n\n const entry_flow = {\n conv_in: entry_flow_conv_in,\n reduction_block_0: entry_flow_reduction_block_0,\n reduction_block_1: entry_flow_reduction_block_1,\n };\n\n const middle_flow = {};\n range(numMainBlocks, 0, 1).forEach((idx) => {\n middle_flow[`main_block_${idx}`] = extractMainBlockParams(`middle_flow/main_block_${idx}`);\n });\n\n const exit_flow_reduction_block = extractReductionBlockParams('exit_flow/reduction_block');\n const exit_flow_separable_conv = extractSeparableConvParams('exit_flow/separable_conv');\n\n const exit_flow = {\n reduction_block: exit_flow_reduction_block,\n separable_conv: exit_flow_separable_conv,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params: { entry_flow, middle_flow, exit_flow }, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, depthwiseSeparableConv } from '../common/index';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { range } from '../utils/index';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { MainBlockParams, ReductionBlockParams, TinyXceptionParams } from './types';\n\nfunction conv(x: tf.Tensor4D, params: ConvParams, stride: [number, number]): tf.Tensor4D {\n return tf.add(tf.conv2d(x, params.filters, stride, 'same'), params.bias);\n}\n\nfunction reductionBlock(x: tf.Tensor4D, params: ReductionBlockParams, isActivateInput = true): tf.Tensor4D {\n let out = isActivateInput ? tf.relu(x) : x;\n out = depthwiseSeparableConv(out, params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = tf.maxPool(out, [3, 3], [2, 2], 'same');\n out = tf.add(out, conv(x, params.expansion_conv, [2, 2]));\n return out;\n}\n\nfunction mainBlock(x: tf.Tensor4D, params: MainBlockParams): tf.Tensor4D {\n let out = depthwiseSeparableConv(tf.relu(x), params.separable_conv0, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv1, [1, 1]);\n out = depthwiseSeparableConv(tf.relu(out), params.separable_conv2, [1, 1]);\n out = tf.add(out, x);\n return out;\n}\n\nexport class TinyXception extends NeuralNetwork {\n private _numMainBlocks: number;\n\n constructor(numMainBlocks: number) {\n super('TinyXception');\n this._numMainBlocks = numMainBlocks;\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n if (!params) {\n throw new Error('TinyXception - load model before inference');\n }\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n let out = tf.relu(conv(normalized, params.entry_flow.conv_in, [2, 2]));\n out = reductionBlock(out, params.entry_flow.reduction_block_0, false);\n out = reductionBlock(out, params.entry_flow.reduction_block_1);\n range(this._numMainBlocks, 0, 1).forEach((idx) => {\n out = mainBlock(out, params.middle_flow[`main_block_${idx}`]);\n });\n out = reductionBlock(out, params.exit_flow.reduction_block);\n out = tf.relu(depthwiseSeparableConv(out, params.exit_flow.separable_conv, [1, 1]));\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'tiny_xception_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this._numMainBlocks);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights, this._numMainBlocks);\n }\n}\n", "import { extractFCParamsFactory, extractWeightsFactory, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);\n\n const age = extractFCParams(512, 1, 'fc/age');\n const gender = extractFCParams(512, 2, 'fc/gender');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { fc: { age, gender } },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, FCParams, ParamMapping } from '../common/index';\nimport { NetParams } from './types';\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractFcParams(prefix: string): FCParams {\n const weights = extractWeightEntry(`${prefix}/weights`, 2);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { weights, bias };\n }\n\n const params = {\n fc: {\n age: extractFcParams('fc/age'),\n gender: extractFcParams('fc/gender'),\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FCParams } from '../common/index';\n\n// eslint-disable-next-line no-shadow\nexport enum Gender {\n // eslint-disable-next-line no-unused-vars\n FEMALE = 'female',\n // eslint-disable-next-line no-unused-vars\n MALE = 'male'\n}\n\nexport type AgeAndGenderPrediction = {\n age: number\n gender: Gender\n genderProbability: number\n}\n\nexport type NetOutput = { age: tf.Tensor1D, gender: tf.Tensor2D }\n\nexport type NetParams = {\n fc: {\n age: FCParams\n gender: FCParams\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport { fullyConnectedLayer } from '../common/fullyConnectedLayer';\nimport { seperateWeightMaps } from '../faceProcessor/util';\nimport { TinyXception } from '../xception/TinyXception';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { AgeAndGenderPrediction, Gender, NetOutput, NetParams } from './types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\n\nexport class AgeGenderNet extends NeuralNetwork {\n private _faceFeatureExtractor: TinyXception;\n\n constructor(faceFeatureExtractor: TinyXception = new TinyXception(2)) {\n super('AgeGenderNet');\n this._faceFeatureExtractor = faceFeatureExtractor;\n }\n\n public get faceFeatureExtractor(): TinyXception {\n return this._faceFeatureExtractor;\n }\n\n public runNet(input: NetInput | tf.Tensor4D): NetOutput {\n const { params } = this;\n\n if (!params) {\n throw new Error(`${this._name} - load model before inference`);\n }\n\n return tf.tidy(() => {\n const bottleneckFeatures = input instanceof NetInput\n ? this.faceFeatureExtractor.forwardInput(input)\n : input;\n\n const pooled = tf.avgPool(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1);\n const age = fullyConnectedLayer(pooled, params.fc.age).as1D();\n const gender = fullyConnectedLayer(pooled, params.fc.gender);\n return { age, gender };\n });\n }\n\n public forwardInput(input: NetInput | tf.Tensor4D): NetOutput {\n return tf.tidy(() => {\n const { age, gender } = this.runNet(input);\n return { age, gender: tf.softmax(gender) };\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async predictAgeAndGender(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput);\n\n const ages = tf.unstack(out.age);\n const genders = tf.unstack(out.gender);\n const ageAndGenderTensors = ages.map((ageTensor, i) => ({\n ageTensor,\n genderTensor: genders[i],\n }));\n\n const predictionsByBatch = await Promise.all(\n ageAndGenderTensors.map(async ({ ageTensor, genderTensor }) => {\n const age = (ageTensor.dataSync())[0];\n const probMale = (genderTensor.dataSync())[0];\n const isMale = probMale > 0.5;\n const gender = isMale ? Gender.MALE : Gender.FEMALE;\n const genderProbability = isMale ? probMale : (1 - probMale);\n\n ageTensor.dispose();\n genderTensor.dispose();\n return { age, gender, genderProbability };\n }),\n );\n out.age.dispose();\n out.gender.dispose();\n\n return netInput.isBatchInput ? predictionsByBatch as AgeAndGenderPrediction[] : predictionsByBatch[0] as AgeAndGenderPrediction;\n }\n\n protected getDefaultModelName(): string {\n return 'age_gender_model';\n }\n\n public override dispose(throwOnRedispose = true) {\n this.faceFeatureExtractor.dispose(throwOnRedispose);\n super.dispose(throwOnRedispose);\n }\n\n public loadClassifierParams(weights: Float32Array) {\n const { params, paramMappings } = this.extractClassifierParams(weights);\n this._params = params;\n this._paramMappings = paramMappings;\n }\n\n public extractClassifierParams(weights: Float32Array) {\n return extractParams(weights);\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n const { featureExtractorMap, classifierMap } = seperateWeightMaps(weightMap);\n\n this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);\n\n return extractParamsFromWeightMap(classifierMap);\n }\n\n protected extractParams(weights: Float32Array) {\n const classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2);\n\n const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);\n const classifierWeights = weights.slice(weights.length - classifierWeightSize);\n\n this.faceFeatureExtractor.extractWeights(featureExtractorWeights);\n return this.extractClassifierParams(classifierWeights);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { IDimensions, Point } from '../classes/index';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceProcessor } from '../faceProcessor/FaceProcessor';\nimport { isEven } from '../utils/index';\n\nexport abstract class FaceLandmark68NetBase<\n TExtractorParams extends FaceFeatureExtractorParams | TinyFaceFeatureExtractorParams\n>\n extends FaceProcessor {\n public postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D {\n const inputDimensions = originalDimensions.map(({ width, height }) => {\n const scale = inputSize / Math.max(height, width);\n return {\n width: width * scale,\n height: height * scale,\n };\n });\n\n const batchSize = inputDimensions.length;\n\n return tf.tidy(() => {\n const createInterleavedTensor = (fillX: number, fillY: number) => tf.stack([tf.fill([68], fillX, 'float32'), tf.fill([68], fillY, 'float32')], 1).as2D(1, 136).as1D();\n\n // eslint-disable-next-line no-unused-vars\n const getPadding = (batchIdx: number, cond: (w: number, h: number) => boolean): number => {\n const { width, height } = inputDimensions[batchIdx];\n return cond(width, height) ? Math.abs(width - height) / 2 : 0;\n };\n\n const getPaddingX = (batchIdx: number) => getPadding(batchIdx, (w, h) => w < h);\n const getPaddingY = (batchIdx: number) => getPadding(batchIdx, (w, h) => h < w);\n\n const landmarkTensors = output\n .mul(tf.fill([batchSize, 136], inputSize, 'float32'))\n .sub(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n getPaddingX(batchIdx),\n getPaddingY(batchIdx),\n ))))\n .div(tf.stack(Array.from(Array(batchSize), (_, batchIdx) => createInterleavedTensor(\n inputDimensions[batchIdx].width,\n inputDimensions[batchIdx].height,\n ))));\n\n return landmarkTensors as tf.Tensor2D;\n });\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n return tf.tidy(() => {\n const out = this.runNet(input);\n return this.postProcess(\n out,\n input.inputSize as number,\n input.inputDimensions.map(([height, width]) => ({ height, width })),\n );\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async detectLandmarks(input: TNetInput): Promise {\n const netInput = await toNetInput(input);\n const landmarkTensors = tf.tidy(\n () => tf.unstack(this.forwardInput(netInput)),\n );\n\n const landmarksForBatch = await Promise.all(landmarkTensors.map(\n async (landmarkTensor, batchIdx) => {\n const landmarksArray = Array.from(landmarkTensor.dataSync());\n const xCoords = landmarksArray.filter((_, i) => isEven(i));\n const yCoords = landmarksArray.filter((_, i) => !isEven(i));\n\n return new FaceLandmarks68(\n Array(68).fill(0).map((_, i) => new Point(xCoords[i] as number, yCoords[i] as number)),\n {\n height: netInput.getInputHeight(batchIdx),\n width: netInput.getInputWidth(batchIdx),\n },\n );\n },\n ));\n\n landmarkTensors.forEach((t) => t.dispose());\n\n return netInput.isBatchInput ? landmarksForBatch as FaceLandmarks68[] : landmarksForBatch[0] as FaceLandmarks68;\n }\n\n protected getClassifierChannelsOut(): number {\n return 136;\n }\n}\n", "import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';\nimport { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68Net extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: FaceFeatureExtractor = new FaceFeatureExtractor()) {\n super('FaceLandmark68Net', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 256;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, ParamMapping } from '../common/index';\nimport { loadParamsFactory } from './loadParamsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsFromWeightMapTiny(\n weightMap: tf.NamedTensorMap,\n): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractDenseBlock3Params,\n } = loadParamsFactory(weightMap, paramMappings);\n\n const params = {\n dense0: extractDenseBlock3Params('dense0', true),\n dense1: extractDenseBlock3Params('dense1'),\n dense2: extractDenseBlock3Params('dense2'),\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import { extractWeightsFactory, ParamMapping } from '../common/index';\nimport { extractorsFactory } from './extractorsFactory';\nimport { TinyFaceFeatureExtractorParams } from './types';\n\nexport function extractParamsTiny(weights: Float32Array): { params: TinyFaceFeatureExtractorParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const {\n extractDenseBlock3Params,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);\n const dense1 = extractDenseBlock3Params(32, 64, 'dense1');\n const dense2 = extractDenseBlock3Params(64, 128, 'dense2');\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n paramMappings,\n params: { dense0, dense1, dense2 },\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { denseBlock3 } from './denseBlock';\nimport { extractParamsFromWeightMapTiny } from './extractParamsFromWeightMapTiny';\nimport { extractParamsTiny } from './extractParamsTiny';\nimport { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';\n\nexport class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {\n constructor() {\n super('TinyFaceFeatureExtractor');\n }\n\n public forwardInput(input: NetInput): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyFaceFeatureExtractor - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = denseBlock3(normalized, params.dense0, true);\n out = denseBlock3(out, params.dense1);\n out = denseBlock3(out, params.dense2);\n out = tf.avgPool(out, [14, 14], [2, 2], 'valid');\n\n return out;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n protected getDefaultModelName(): string {\n return 'face_feature_extractor_tiny_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMapTiny(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParamsTiny(weights);\n }\n}\n", "import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';\nimport { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';\nimport { FaceLandmark68NetBase } from './FaceLandmark68NetBase';\n\nexport class FaceLandmark68TinyNet extends FaceLandmark68NetBase {\n constructor(faceFeatureExtractor: TinyFaceFeatureExtractor = new TinyFaceFeatureExtractor()) {\n super('FaceLandmark68TinyNet', faceFeatureExtractor);\n }\n\n protected getDefaultModelName(): string {\n return 'face_landmark_68_tiny_model';\n }\n\n protected getClassifierChannelsIn(): number {\n return 128;\n }\n}\n", "import { FaceLandmark68Net } from './FaceLandmark68Net';\n\nexport * from './FaceLandmark68Net';\nexport * from './FaceLandmark68TinyNet';\nexport class FaceLandmarkNet extends FaceLandmark68Net {}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ScaleLayerParams } from './types';\n\nexport function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D {\n return tf.add(tf.mul(x, params.weights), params.biases);\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { scale } from './scaleLayer';\nimport { ConvLayerParams } from './types';\n\nfunction convLayer(\n x: tf.Tensor4D,\n params: ConvLayerParams,\n strides: [number, number],\n withRelu: boolean,\n padding: 'valid' | 'same' = 'same',\n): tf.Tensor4D {\n const { filters, bias } = params.conv;\n\n let out = tf.conv2d(x, filters, strides, padding);\n out = tf.add(out, bias);\n out = scale(out, params.scale);\n return withRelu ? tf.relu(out) : out;\n}\n\nexport function conv(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], true);\n}\n\nexport function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [1, 1], false);\n}\n\nexport function convDown(x: tf.Tensor4D, params: ConvLayerParams) {\n return convLayer(x, params, [2, 2], true, 'valid');\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, extractWeightsFactory, ExtractWeightsFunction, ParamMapping } from '../common/index';\nimport { isFloat } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractFilterValues(numFilterValues: number, numFilters: number, filterSize: number): tf.Tensor4D {\n const weights = extractWeights(numFilterValues);\n const depth = weights.length / (numFilters * filterSize * filterSize);\n\n if (isFloat(depth)) {\n throw new Error(`depth has to be an integer: ${depth}, weights.length: ${weights.length}, numFilters: ${numFilters}, filterSize: ${filterSize}`);\n }\n\n return tf.tidy(\n () => tf.transpose(\n tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]),\n [2, 3, 1, 0],\n ),\n );\n }\n\n function extractConvParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvParams {\n const filters = extractFilterValues(numFilterValues, numFilters, filterSize);\n const bias = tf.tensor1d(extractWeights(numFilters));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/bias` },\n );\n\n return { filters, bias };\n }\n\n function extractScaleLayerParams(numWeights: number, mappedPrefix: string): ScaleLayerParams {\n const weights = tf.tensor1d(extractWeights(numWeights));\n const biases = tf.tensor1d(extractWeights(numWeights));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/weights` },\n { paramPath: `${mappedPrefix}/biases` },\n );\n\n return {\n weights,\n biases,\n };\n }\n\n function extractConvLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n ): ConvLayerParams {\n const conv = extractConvParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv`);\n const scale = extractScaleLayerParams(numFilters, `${mappedPrefix}/scale`);\n\n return { conv, scale };\n }\n\n function extractResidualLayerParams(\n numFilterValues: number,\n numFilters: number,\n filterSize: number,\n mappedPrefix: string,\n isDown = false,\n ): ResidualLayerParams {\n const conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv1`);\n const conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, `${mappedPrefix}/conv2`);\n\n return { conv1, conv2 };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n\n const conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');\n const conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');\n const conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');\n const conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');\n\n const conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);\n const conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');\n const conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');\n const conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');\n\n const conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);\n const conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');\n const conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');\n\n const conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);\n const conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');\n const conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');\n const conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');\n\n const fc = tf.tidy(\n () => tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]),\n );\n paramMappings.push({ paramPath: 'fc' });\n\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor2D } from '../utils/index';\nimport { ConvLayerParams, NetParams, ResidualLayerParams, ScaleLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractScaleLayerParams(prefix: string): ScaleLayerParams {\n const weights = extractWeightEntry(`${prefix}/scale/weights`, 1);\n const biases = extractWeightEntry(`${prefix}/scale/biases`, 1);\n\n return { weights, biases };\n }\n\n function extractConvLayerParams(prefix: string): ConvLayerParams {\n const filters = extractWeightEntry(`${prefix}/conv/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/conv/bias`, 1);\n const scale = extractScaleLayerParams(prefix);\n\n return { conv: { filters, bias }, scale };\n }\n\n function extractResidualLayerParams(prefix: string): ResidualLayerParams {\n return {\n conv1: extractConvLayerParams(`${prefix}/conv1`),\n conv2: extractConvLayerParams(`${prefix}/conv2`),\n };\n }\n\n return {\n extractConvLayerParams,\n extractResidualLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvLayerParams,\n extractResidualLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n const conv32_down = extractConvLayerParams('conv32_down');\n const conv32_1 = extractResidualLayerParams('conv32_1');\n const conv32_2 = extractResidualLayerParams('conv32_2');\n const conv32_3 = extractResidualLayerParams('conv32_3');\n\n const conv64_down = extractResidualLayerParams('conv64_down');\n const conv64_1 = extractResidualLayerParams('conv64_1');\n const conv64_2 = extractResidualLayerParams('conv64_2');\n const conv64_3 = extractResidualLayerParams('conv64_3');\n\n const conv128_down = extractResidualLayerParams('conv128_down');\n const conv128_1 = extractResidualLayerParams('conv128_1');\n const conv128_2 = extractResidualLayerParams('conv128_2');\n\n const conv256_down = extractResidualLayerParams('conv256_down');\n const conv256_1 = extractResidualLayerParams('conv256_1');\n const conv256_2 = extractResidualLayerParams('conv256_2');\n const conv256_down_out = extractResidualLayerParams('conv256_down_out');\n\n const { fc } = weightMap;\n paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });\n\n if (!isTensor2D(fc)) {\n throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${fc}`);\n }\n\n const params = {\n conv32_down,\n conv32_1,\n conv32_2,\n conv32_3,\n conv64_down,\n conv64_1,\n conv64_2,\n conv64_3,\n conv128_down,\n conv128_1,\n conv128_2,\n conv256_down,\n conv256_1,\n conv256_2,\n conv256_down_out,\n fc,\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { conv, convDown, convNoRelu } from './convLayer';\nimport { ResidualLayerParams } from './types';\n\nexport function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = conv(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n out = tf.add(out, x);\n out = tf.relu(out);\n return out;\n}\n\nexport function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D {\n let out = convDown(x, params.conv1);\n out = convNoRelu(out, params.conv2);\n\n let pooled = tf.avgPool(x, 2, 2, 'valid') as tf.Tensor4D;\n const zeros = tf.zeros(pooled.shape);\n const isPad = pooled.shape[3] !== out.shape[3];\n const isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];\n\n if (isAdjustShape) {\n const padShapeX = [...out.shape] as [number, number, number, number];\n padShapeX[1] = 1;\n const zerosW = tf.zeros(padShapeX);\n out = tf.concat([out, zerosW], 1);\n\n const padShapeY = [...out.shape] as [number, number, number, number];\n padShapeY[2] = 1;\n const zerosH = tf.zeros(padShapeY);\n out = tf.concat([out, zerosH], 2);\n }\n\n pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;\n out = tf.add(pooled, out) as tf.Tensor4D;\n\n out = tf.relu(out);\n return out;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { normalize } from '../ops/index';\nimport { convDown } from './convLayer';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { residual, residualDown } from './residualLayer';\nimport { NetParams } from './types';\n\nexport class FaceRecognitionNet extends NeuralNetwork {\n constructor() {\n super('FaceRecognitionNet');\n }\n\n public forwardInput(input: NetInput): tf.Tensor2D {\n const { params } = this;\n\n if (!params) {\n throw new Error('FaceRecognitionNet - load model before inference');\n }\n\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');\n\n const meanRgb = [122.782, 117.001, 104.298];\n const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;\n\n let out = convDown(normalized, params.conv32_down);\n out = tf.maxPool(out, 3, 2, 'valid');\n\n out = residual(out, params.conv32_1);\n out = residual(out, params.conv32_2);\n out = residual(out, params.conv32_3);\n\n out = residualDown(out, params.conv64_down);\n out = residual(out, params.conv64_1);\n out = residual(out, params.conv64_2);\n out = residual(out, params.conv64_3);\n\n out = residualDown(out, params.conv128_down);\n out = residual(out, params.conv128_1);\n out = residual(out, params.conv128_2);\n\n out = residualDown(out, params.conv256_down);\n out = residual(out, params.conv256_1);\n out = residual(out, params.conv256_2);\n out = residualDown(out, params.conv256_down_out);\n\n const globalAvg = out.mean([1, 2]) as tf.Tensor2D;\n const fullyConnected = tf.matMul(globalAvg, params.fc);\n\n return fullyConnected as tf.Tensor2D;\n });\n }\n\n public async forward(input: TNetInput): Promise {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async computeFaceDescriptor(input: TNetInput): Promise {\n // @ts-ignore\n if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);\n const netInput = await toNetInput(input);\n const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));\n const faceDescriptorsForBatch = await Promise.all(faceDescriptorTensors.map((t) => t.data())) as Float32Array[];\n faceDescriptorTensors.forEach((t) => t.dispose());\n return netInput.isBatchInput ? faceDescriptorsForBatch : faceDescriptorsForBatch[0];\n }\n\n protected getDefaultModelName(): string {\n return 'face_recognition_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { FaceRecognitionNet } from './FaceRecognitionNet';\n\nexport * from './FaceRecognitionNet';\n\nexport function createFaceRecognitionNet(weights: Float32Array) {\n const net = new FaceRecognitionNet();\n net.extractWeights(weights);\n return net;\n}\n", "export type WithFaceDescriptor = TSource & {\n descriptor: Float32Array\n}\n\nexport function extendWithFaceDescriptor<\n TSource\n>(\n sourceObj: TSource,\n descriptor: Float32Array,\n): WithFaceDescriptor {\n const extension = { descriptor };\n return { ...sourceObj, ...extension };\n}\n", "export type WithAge = TSource & {\n age: number\n}\n\nexport function isWithAge(obj: any): obj is WithAge<{}> {\n return typeof obj.age === 'number';\n}\n\nexport function extendWithAge<\n TSource\n>(\n sourceObj: TSource,\n age: number,\n): WithAge {\n const extension = { age };\n return { ...sourceObj, ...extension };\n}\n", "import { Gender } from '../ageGenderNet/types';\nimport { isValidProbablitiy } from '../utils/index';\n\nexport type WithGender = TSource & {\n gender: Gender\n genderProbability: number\n}\n\nexport function isWithGender(obj: any): obj is WithGender<{}> {\n return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE)\n && isValidProbablitiy(obj.genderProbability);\n}\n\nexport function extendWithGender<\n TSource\n>(\n sourceObj: TSource,\n gender: Gender,\n genderProbability: number,\n): WithGender {\n const extension = { gender, genderProbability };\n return { ...sourceObj, ...extension };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ExtractWeightsFunction, ParamMapping, ConvParams, extractWeightsFactory } from '../common/index';\nimport { MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n function extractDepthwiseConvParams(numChannels: number, mappedPrefix: string): MobileNetV1.DepthwiseConvParams {\n const filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);\n const batch_norm_scale = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_offset = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_mean = tf.tensor1d(extractWeights(numChannels));\n const batch_norm_variance = tf.tensor1d(extractWeights(numChannels));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/batch_norm_scale` },\n { paramPath: `${mappedPrefix}/batch_norm_offset` },\n { paramPath: `${mappedPrefix}/batch_norm_mean` },\n { paramPath: `${mappedPrefix}/batch_norm_variance` },\n );\n\n return {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n };\n }\n\n function extractConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n isPointwiseConv?: boolean,\n ): ConvParams {\n const filters = tf.tensor4d(\n extractWeights(channelsIn * channelsOut * filterSize * filterSize),\n [filterSize, filterSize, channelsIn, channelsOut],\n );\n const bias = tf.tensor1d(extractWeights(channelsOut));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/filters` },\n { paramPath: `${mappedPrefix}/${isPointwiseConv ? 'batch_norm_offset' : 'bias'}` },\n );\n\n return { filters, bias };\n }\n\n function extractPointwiseConvParams(\n channelsIn: number,\n channelsOut: number,\n filterSize: number,\n mappedPrefix: string,\n ): PointwiseConvParams {\n const {\n filters,\n bias,\n } = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true);\n\n return {\n filters,\n batch_norm_offset: bias,\n };\n }\n\n function extractConvPairParams(\n channelsIn: number,\n channelsOut: number,\n mappedPrefix: string,\n ): MobileNetV1.ConvPairParams {\n const depthwise_conv = extractDepthwiseConvParams(channelsIn, `${mappedPrefix}/depthwise_conv`);\n const pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, `${mappedPrefix}/pointwise_conv`);\n\n return { depthwise_conv, pointwise_conv };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n const conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');\n const conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');\n const conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');\n const conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');\n const conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');\n const conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');\n const conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');\n const conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');\n const conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');\n const conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');\n const conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');\n const conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');\n const conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');\n const conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n conv_8,\n conv_9,\n conv_10,\n conv_11,\n conv_12,\n conv_13,\n };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n const conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');\n const conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');\n const conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');\n const conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');\n const conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');\n const conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');\n const conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');\n const conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');\n const box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');\n const class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');\n const box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');\n const class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');\n const box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');\n const class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');\n const box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');\n const class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');\n const box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');\n const class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');\n const box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');\n const class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');\n\n const box_predictor_0 = {\n box_encoding_predictor: box_encoding_0_predictor,\n class_predictor: class_predictor_0,\n };\n const box_predictor_1 = {\n box_encoding_predictor: box_encoding_1_predictor,\n class_predictor: class_predictor_1,\n };\n const box_predictor_2 = {\n box_encoding_predictor: box_encoding_2_predictor,\n class_predictor: class_predictor_2,\n };\n const box_predictor_3 = {\n box_encoding_predictor: box_encoding_3_predictor,\n class_predictor: class_predictor_3,\n };\n const box_predictor_4 = {\n box_encoding_predictor: box_encoding_4_predictor,\n class_predictor: class_predictor_4,\n };\n const box_predictor_5 = {\n box_encoding_predictor: box_encoding_5_predictor,\n class_predictor: class_predictor_5,\n };\n return {\n conv_0,\n conv_1,\n conv_2,\n conv_3,\n conv_4,\n conv_5,\n conv_6,\n conv_7,\n box_predictor_0,\n box_predictor_1,\n box_predictor_2,\n box_predictor_3,\n box_predictor_4,\n box_predictor_5,\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParams(weights: Float32Array): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(extractWeights, paramMappings);\n const mobilenetv1 = extractMobilenetV1Params();\n const prediction_layer = extractPredictionLayerParams();\n const extra_dim = tf.tensor3d(\n extractWeights(5118 * 4),\n [1, 5118, 4],\n );\n const output_layer = {\n extra_dim,\n };\n paramMappings.push({ paramPath: 'output_layer/extra_dim' });\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n\n return {\n params: {\n mobilenetv1,\n prediction_layer,\n output_layer,\n },\n paramMappings,\n };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams, disposeUnusedWeightTensors, extractWeightEntryFactory, ParamMapping } from '../common/index';\nimport { isTensor3D } from '../utils/index';\nimport { BoxPredictionParams, MobileNetV1, NetParams, PointwiseConvParams, PredictionLayerParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractPointwiseConvParams(prefix: string, idx: number, mappedPrefix: string): PointwiseConvParams {\n const filters = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/weights`, 4, `${mappedPrefix}/filters`);\n const batch_norm_offset = extractWeightEntry(`${prefix}/Conv2d_${idx}_pointwise/convolution_bn_offset`, 1, `${mappedPrefix}/batch_norm_offset`);\n return { filters, batch_norm_offset };\n }\n\n function extractConvPairParams(idx: number): MobileNetV1.ConvPairParams {\n const mappedPrefix = `mobilenetv1/conv_${idx}`;\n const prefixDepthwiseConv = `MobilenetV1/Conv2d_${idx}_depthwise`;\n const mappedPrefixDepthwiseConv = `${mappedPrefix}/depthwise_conv`;\n const mappedPrefixPointwiseConv = `${mappedPrefix}/pointwise_conv`;\n\n const filters = extractWeightEntry(`${prefixDepthwiseConv}/depthwise_weights`, 4, `${mappedPrefixDepthwiseConv}/filters`);\n const batch_norm_scale = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/gamma`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_scale`);\n const batch_norm_offset = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/beta`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_offset`);\n const batch_norm_mean = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_mean`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_mean`);\n const batch_norm_variance = extractWeightEntry(`${prefixDepthwiseConv}/BatchNorm/moving_variance`, 1, `${mappedPrefixDepthwiseConv}/batch_norm_variance`);\n\n return {\n depthwise_conv: {\n filters,\n batch_norm_scale,\n batch_norm_offset,\n batch_norm_mean,\n batch_norm_variance,\n },\n pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv),\n };\n }\n\n function extractMobilenetV1Params(): MobileNetV1.Params {\n return {\n conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),\n conv_1: extractConvPairParams(1),\n conv_2: extractConvPairParams(2),\n conv_3: extractConvPairParams(3),\n conv_4: extractConvPairParams(4),\n conv_5: extractConvPairParams(5),\n conv_6: extractConvPairParams(6),\n conv_7: extractConvPairParams(7),\n conv_8: extractConvPairParams(8),\n conv_9: extractConvPairParams(9),\n conv_10: extractConvPairParams(10),\n conv_11: extractConvPairParams(11),\n conv_12: extractConvPairParams(12),\n conv_13: extractConvPairParams(13),\n };\n }\n\n function extractConvParams(prefix: string, mappedPrefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/weights`, 4, `${mappedPrefix}/filters`);\n const bias = extractWeightEntry(`${prefix}/biases`, 1, `${mappedPrefix}/bias`);\n return { filters, bias };\n }\n\n function extractBoxPredictorParams(idx: number): BoxPredictionParams {\n const box_encoding_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/BoxEncodingPredictor`,\n `prediction_layer/box_predictor_${idx}/box_encoding_predictor`,\n );\n const class_predictor = extractConvParams(\n `Prediction/BoxPredictor_${idx}/ClassPredictor`,\n `prediction_layer/box_predictor_${idx}/class_predictor`,\n );\n return { box_encoding_predictor, class_predictor };\n }\n\n function extractPredictionLayerParams(): PredictionLayerParams {\n return {\n conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),\n conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),\n conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),\n conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),\n conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),\n conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),\n conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),\n conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),\n box_predictor_0: extractBoxPredictorParams(0),\n box_predictor_1: extractBoxPredictorParams(1),\n box_predictor_2: extractBoxPredictorParams(2),\n box_predictor_3: extractBoxPredictorParams(3),\n box_predictor_4: extractBoxPredictorParams(4),\n box_predictor_5: extractBoxPredictorParams(5),\n };\n }\n\n return {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n): { params: NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n const {\n extractMobilenetV1Params,\n extractPredictionLayerParams,\n } = extractorsFactory(weightMap, paramMappings);\n const extra_dim = weightMap['Output/extra_dim'];\n paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });\n if (!isTensor3D(extra_dim)) {\n throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${extra_dim}`);\n }\n\n const params = {\n mobilenetv1: extractMobilenetV1Params(),\n prediction_layer: extractPredictionLayerParams(),\n output_layer: {\n extra_dim,\n },\n };\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { PointwiseConvParams } from './types';\n\nexport function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.conv2d(x, params.filters, strides, 'same');\n out = tf.add(out, params.batch_norm_offset);\n return tf.clipByValue(out, 0, 6);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { MobileNetV1 } from './types';\n\nconst epsilon = 0.0010000000474974513;\n\nfunction depthwiseConvLayer(x: tf.Tensor4D, params: MobileNetV1.DepthwiseConvParams, strides: [number, number]) {\n return tf.tidy(() => {\n let out = tf.depthwiseConv2d(x, params.filters, strides, 'same');\n out = tf.batchNorm(\n out,\n params.batch_norm_mean,\n params.batch_norm_variance,\n params.batch_norm_offset,\n params.batch_norm_scale,\n epsilon,\n );\n return tf.clipByValue(out, 0, 6);\n });\n}\n\nfunction getStridesForLayerIdx(layerIdx: number): [number, number] {\n return [2, 4, 6, 12].some((idx) => idx === layerIdx) ? [2, 2] : [1, 1];\n}\n\nexport function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params) {\n return tf.tidy(() => {\n let conv11;\n let out = pointwiseConvLayer(x, params.conv_0, [2, 2]);\n\n const convPairParams = [\n params.conv_1,\n params.conv_2,\n params.conv_3,\n params.conv_4,\n params.conv_5,\n params.conv_6,\n params.conv_7,\n params.conv_8,\n params.conv_9,\n params.conv_10,\n params.conv_11,\n params.conv_12,\n params.conv_13,\n ];\n\n convPairParams.forEach((param, i) => {\n const layerIdx = i + 1;\n const depthwiseConvStrides = getStridesForLayerIdx(layerIdx);\n out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);\n out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);\n if (layerIdx === 11) conv11 = out;\n });\n\n if (conv11 === null) {\n throw new Error('mobileNetV1 - output of conv layer 11 is null');\n }\n\n return {\n out,\n conv11: conv11 as any,\n };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nfunction IOU(boxes: tf.Tensor2D, i: number, j: number) {\n const boxesData = boxes.arraySync();\n const yminI = Math.min(boxesData[i][0], boxesData[i][2]);\n const xminI = Math.min(boxesData[i][1], boxesData[i][3]);\n const ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);\n const xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);\n const yminJ = Math.min(boxesData[j][0], boxesData[j][2]);\n const xminJ = Math.min(boxesData[j][1], boxesData[j][3]);\n const ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);\n const xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);\n const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n if (areaI <= 0 || areaJ <= 0) return 0.0;\n const intersectionYmin = Math.max(yminI, yminJ);\n const intersectionXmin = Math.max(xminI, xminJ);\n const intersectionYmax = Math.min(ymaxI, ymaxJ);\n const intersectionXmax = Math.min(xmaxI, xmaxJ);\n const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) * Math.max(intersectionXmax - intersectionXmin, 0.0);\n return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\nexport function nonMaxSuppression(\n boxes: tf.Tensor2D,\n scores: number[],\n maxOutputSize: number,\n iouThreshold: number,\n scoreThreshold: number,\n): number[] {\n const numBoxes = boxes.shape[0];\n const outputSize = Math.min(maxOutputSize, numBoxes);\n\n const candidates = scores\n .map((score, boxIndex) => ({ score, boxIndex }))\n .filter((c) => c.score > scoreThreshold)\n .sort((c1, c2) => c2.score - c1.score);\n\n const suppressFunc = (x: number) => (x <= iouThreshold ? 1 : 0);\n const selected: number[] = [];\n\n candidates.forEach((c) => {\n if (selected.length >= outputSize) return;\n const originalScore = c.score;\n for (let j = selected.length - 1; j >= 0; --j) {\n const iou = IOU(boxes, c.boxIndex, selected[j]);\n if (iou === 0.0) continue;\n c.score *= suppressFunc(iou);\n if (c.score <= scoreThreshold) break;\n }\n if (originalScore === c.score) {\n selected.push(c.boxIndex);\n }\n });\n return selected;\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { OutputLayerParams } from './types';\n\nfunction getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {\n const vec = tf.unstack(tf.transpose(x, [1, 0]));\n\n const sizes = [\n tf.sub(vec[2], vec[0]),\n tf.sub(vec[3], vec[1]),\n ];\n const centers = [\n tf.add(vec[0], tf.div(sizes[0], 2)),\n tf.add(vec[1], tf.div(sizes[1], 2)),\n ];\n return { sizes, centers };\n}\n\nfunction decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {\n const { sizes, centers } = getCenterCoordinatesAndSizesLayer(x0);\n\n const vec = tf.unstack(tf.transpose(x1, [1, 0]));\n const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], 5)), sizes[0]), 2);\n const add0_out = tf.add(tf.mul(tf.div(vec[0], 10), sizes[0]), centers[0]);\n const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], 5)), sizes[1]), 2);\n const add1_out = tf.add(tf.mul(tf.div(vec[1], 10), sizes[1]), centers[1]);\n\n return tf.transpose(\n tf.stack([\n tf.sub(add0_out, div0_out),\n tf.sub(add1_out, div1_out),\n tf.add(add0_out, div0_out),\n tf.add(add1_out, div1_out),\n ]),\n [1, 0],\n );\n}\n\nexport function outputLayer(boxPredictions: tf.Tensor4D, classPredictions: tf.Tensor4D, params: OutputLayerParams) {\n return tf.tidy(() => {\n const batchSize = boxPredictions.shape[0];\n\n let boxes = decodeBoxesLayer(\n tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]) as tf.Tensor2D,\n tf.reshape(boxPredictions, [-1, 4]) as tf.Tensor2D,\n );\n boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);\n\n const scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));\n let scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]) as tf.Tensor;\n\n scores = tf.reshape(scores, [batchSize, scores.shape[1] as number]);\n\n const boxesByBatch = tf.unstack(boxes) as tf.Tensor2D[];\n const scoresByBatch = tf.unstack(scores) as tf.Tensor1D[];\n\n return { boxes: boxesByBatch, scores: scoresByBatch };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { convLayer } from '../common/index';\nimport { BoxPredictionParams } from './types';\n\nexport function boxPredictionLayer(\n x: tf.Tensor4D,\n params: BoxPredictionParams,\n) {\n return tf.tidy(() => {\n const batchSize = x.shape[0];\n const boxPredictionEncoding = tf.reshape(\n convLayer(x, params.box_encoding_predictor),\n [batchSize, -1, 1, 4],\n );\n const classPrediction = tf.reshape(\n convLayer(x, params.class_predictor),\n [batchSize, -1, 3],\n );\n return { boxPredictionEncoding, classPrediction };\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { boxPredictionLayer } from './boxPredictionLayer';\nimport { pointwiseConvLayer } from './pointwiseConvLayer';\nimport { PredictionLayerParams } from './types';\n\nexport function predictionLayer(\n x: tf.Tensor4D,\n conv11: tf.Tensor4D,\n params: PredictionLayerParams,\n) {\n return tf.tidy(() => {\n const conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);\n const conv1 = pointwiseConvLayer(conv0, params.conv_1, [2, 2]);\n const conv2 = pointwiseConvLayer(conv1, params.conv_2, [1, 1]);\n const conv3 = pointwiseConvLayer(conv2, params.conv_3, [2, 2]);\n const conv4 = pointwiseConvLayer(conv3, params.conv_4, [1, 1]);\n const conv5 = pointwiseConvLayer(conv4, params.conv_5, [2, 2]);\n const conv6 = pointwiseConvLayer(conv5, params.conv_6, [1, 1]);\n const conv7 = pointwiseConvLayer(conv6, params.conv_7, [2, 2]);\n\n const boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0);\n const boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1);\n const boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2);\n const boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3);\n const boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4);\n const boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5);\n\n const boxPredictions = tf.concat([\n boxPrediction0.boxPredictionEncoding,\n boxPrediction1.boxPredictionEncoding,\n boxPrediction2.boxPredictionEncoding,\n boxPrediction3.boxPredictionEncoding,\n boxPrediction4.boxPredictionEncoding,\n boxPrediction5.boxPredictionEncoding,\n ], 1) as tf.Tensor4D;\n\n const classPredictions = tf.concat([\n boxPrediction0.classPrediction,\n boxPrediction1.classPrediction,\n boxPrediction2.classPrediction,\n boxPrediction3.classPrediction,\n boxPrediction4.classPrediction,\n boxPrediction5.classPrediction,\n ], 1) as tf.Tensor4D;\n\n return {\n boxPredictions,\n classPredictions,\n };\n });\n}\n", "export interface ISsdMobilenetv1Options {\n minConfidence?: number\n maxResults?: number\n}\n\nexport class SsdMobilenetv1Options {\n protected _name = 'SsdMobilenetv1Options';\n\n private _minConfidence: number;\n\n private _maxResults: number;\n\n constructor({ minConfidence, maxResults }: ISsdMobilenetv1Options = {}) {\n this._minConfidence = minConfidence || 0.5;\n this._maxResults = maxResults || 100;\n\n if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {\n throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);\n }\n\n if (typeof this._maxResults !== 'number') {\n throw new Error(`${this._name} - expected maxResults to be a number`);\n }\n }\n\n get minConfidence(): number { return this._minConfidence; }\n\n get maxResults(): number { return this._maxResults; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { Rect } from '../classes/index';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { NetInput, TNetInput, toNetInput } from '../dom/index';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { mobileNetV1 } from './mobileNetV1';\nimport { nonMaxSuppression } from './nonMaxSuppression';\nimport { outputLayer } from './outputLayer';\nimport { predictionLayer } from './predictionLayer';\nimport { ISsdMobilenetv1Options, SsdMobilenetv1Options } from './SsdMobilenetv1Options';\nimport { NetParams } from './types';\n\nexport class SsdMobilenetv1 extends NeuralNetwork {\n constructor() {\n super('SsdMobilenetv1');\n }\n\n public forwardInput(input: NetInput) {\n const { params } = this;\n if (!params) throw new Error('SsdMobilenetv1 - load model before inference');\n return tf.tidy(() => {\n const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');\n const x = tf.sub(tf.div(batchTensor, 127.5), 1) as tf.Tensor4D; // input is normalized -1..1\n const features = mobileNetV1(x, params.mobilenetv1);\n const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);\n return outputLayer(boxPredictions, classPredictions, params.output_layer);\n });\n }\n\n public async forward(input: TNetInput) {\n return this.forwardInput(await toNetInput(input));\n }\n\n public async locateFaces(input: TNetInput, options: ISsdMobilenetv1Options = {}): Promise {\n const { maxResults, minConfidence } = new SsdMobilenetv1Options(options);\n const netInput = await toNetInput(input);\n const { boxes: _boxes, scores: _scores } = this.forwardInput(netInput);\n const boxes = _boxes[0];\n const scores = _scores[0];\n for (let i = 1; i < _boxes.length; i++) {\n _boxes[i].dispose();\n _scores[i].dispose();\n }\n const scoresData = Array.from(scores.dataSync());\n const iouThreshold = 0.5;\n const indices = nonMaxSuppression(boxes, scoresData as number[], maxResults, iouThreshold, minConfidence);\n const reshapedDims = netInput.getReshapedInputDimensions(0);\n const inputSize = netInput.inputSize as number;\n const padX = inputSize / reshapedDims.width;\n const padY = inputSize / reshapedDims.height;\n const boxesData = boxes.arraySync();\n const results = indices\n .map((idx) => {\n const [top, bottom] = [\n Math.max(0, boxesData[idx][0]),\n Math.min(1.0, boxesData[idx][2]),\n ].map((val) => val * padY);\n const [left, right] = [\n Math.max(0, boxesData[idx][1]),\n Math.min(1.0, boxesData[idx][3]),\n ].map((val) => val * padX);\n return new FaceDetection(\n scoresData[idx] as number,\n new Rect(left, top, right - left, bottom - top),\n { height: netInput.getInputHeight(0), width: netInput.getInputWidth(0) },\n );\n });\n boxes.dispose();\n scores.dispose();\n return results;\n }\n\n protected getDefaultModelName(): string {\n return 'ssd_mobilenetv1_model';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap);\n }\n\n protected extractParams(weights: Float32Array) {\n return extractParams(weights);\n }\n}\n", "import { SsdMobilenetv1 } from './SsdMobilenetv1';\n\nexport * from './SsdMobilenetv1';\nexport * from './SsdMobilenetv1Options';\n\nexport function createSsdMobilenetv1(weights: Float32Array) {\n const net = new SsdMobilenetv1();\n net.extractWeights(weights);\n return net;\n}\n\nexport function createFaceDetectionNet(weights: Float32Array) {\n return createSsdMobilenetv1(weights);\n}\n\n// alias for backward compatibily\nexport class FaceDetectionNet extends SsdMobilenetv1 {}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(0.738768, 0.874946),\n new Point(2.42204, 2.65704),\n new Point(4.30971, 7.04493),\n new Point(10.246, 4.59428),\n new Point(12.6868, 11.8741),\n];\n\nexport const BOX_ANCHORS_SEPARABLE = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB_SEPARABLE: [number, number, number] = [117.001, 114.697, 97.404];\n\nexport const DEFAULT_MODEL_NAME = 'tiny_yolov2_model';\nexport const DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';\n", "import { Point } from '../classes/Point';\n\nexport type TinyYolov2Config = {\n withSeparableConvs: boolean\n iouThreshold: number\n anchors: Point[]\n classes: string[]\n meanRgb?: [number, number, number]\n withClassScores?: boolean,\n filterSizes?: number[]\n isFirstLayerConv2d?: boolean\n}\n\nconst isNumber = (arg: any) => typeof arg === 'number';\n\nexport function validateConfig(config: any) {\n if (!config) {\n throw new Error(`invalid config: ${config}`);\n }\n\n if (typeof config.withSeparableConvs !== 'boolean') {\n throw new Error(`config.withSeparableConvs has to be a boolean, have: ${config.withSeparableConvs}`);\n }\n\n if (!isNumber(config.iouThreshold) || config.iouThreshold < 0 || config.iouThreshold > 1.0) {\n throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${config.iouThreshold}`);\n }\n\n if (\n !Array.isArray(config.classes)\n || !config.classes.length\n || !config.classes.every((c: any) => typeof c === 'string')\n ) {\n throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(config.classes)}`);\n }\n\n if (\n !Array.isArray(config.anchors)\n || !config.anchors.length\n || !config.anchors.map((a: any) => a || {}).every((a: any) => isNumber(a.x) && isNumber(a.y))\n ) {\n throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(config.anchors)}`);\n }\n\n if (config.meanRgb && (\n !Array.isArray(config.meanRgb)\n || config.meanRgb.length !== 3\n || !config.meanRgb.every(isNumber)\n )) {\n throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(config.meanRgb)}`);\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nexport function leaky(x: tf.Tensor4D): tf.Tensor4D {\n return tf.tidy(() => {\n const min = tf.mul(x, tf.scalar(0.10000000149011612));\n return tf.add(tf.relu(tf.sub(x, min)), min);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { leaky } from './leaky';\nimport { ConvWithBatchNorm } from './types';\n\nexport function convWithBatchNorm(x: tf.Tensor4D, params: ConvWithBatchNorm): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.conv2d(out, params.conv.filters, [1, 1], 'valid');\n out = tf.sub(out, params.bn.sub);\n out = tf.mul(out, params.bn.truediv);\n out = tf.add(out, params.conv.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { SeparableConvParams } from '../common/types';\nimport { leaky } from './leaky';\n\nexport function depthwiseSeparableConv(x: tf.Tensor4D, params: SeparableConvParams): tf.Tensor4D {\n return tf.tidy(() => {\n let out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]) as tf.Tensor4D;\n out = tf.separableConv2d(out, params.depthwise_filter, params.pointwise_filter, [1, 1], 'valid');\n out = tf.add(out, params.bias);\n return leaky(out);\n });\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { extractConvParamsFactory } from '../common/index';\nimport { extractSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightsFactory } from '../common/extractWeightsFactory';\nimport { ExtractWeightsFunction, ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]) {\n const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);\n\n function extractBatchNormParams(size: number, mappedPrefix: string): BatchNorm {\n const sub = tf.tensor1d(extractWeights(size));\n const truediv = tf.tensor1d(extractWeights(size));\n\n paramMappings.push(\n { paramPath: `${mappedPrefix}/sub` },\n { paramPath: `${mappedPrefix}/truediv` },\n );\n return { sub, truediv };\n }\n\n function extractConvWithBatchNormParams(channelsIn: number, channelsOut: number, mappedPrefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(channelsIn, channelsOut, 3, `${mappedPrefix}/conv`);\n const bn = extractBatchNormParams(channelsOut, `${mappedPrefix}/bn`);\n return { conv, bn };\n }\n const extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);\n\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParams(\n weights: Float32Array,\n config: TinyYolov2Config,\n boxEncodingSize: number,\n filterSizes: number[],\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const {\n extractWeights,\n getRemainingWeights,\n } = extractWeightsFactory(weights);\n\n const paramMappings: ParamMapping[] = [];\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(extractWeights, paramMappings);\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = config.isFirstLayerConv2d\n ? extractConvParams(s0, s1, 3, 'conv0')\n : extractSeparableConvParams(s0, s1, 'conv0');\n const conv1 = extractSeparableConvParams(s1, s2, 'conv1');\n const conv2 = extractSeparableConvParams(s2, s3, 'conv2');\n const conv3 = extractSeparableConvParams(s3, s4, 'conv3');\n const conv4 = extractSeparableConvParams(s4, s5, 'conv4');\n const conv5 = extractSeparableConvParams(s5, s6, 'conv5');\n const conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;\n const conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;\n const conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n } else {\n const [s0, s1, s2, s3, s4, s5, s6, s7, s8] = filterSizes;\n const conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');\n const conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');\n const conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');\n const conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');\n const conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');\n const conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');\n const conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');\n const conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');\n const conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');\n params = {\n conv0, conv1, conv2, conv3, conv4, conv5, conv6, conv7, conv8,\n };\n }\n if (getRemainingWeights().length !== 0) {\n throw new Error(`weights remaing after extract: ${getRemainingWeights().length}`);\n }\n return { params, paramMappings };\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { ConvParams } from '../common/index';\nimport { disposeUnusedWeightTensors } from '../common/disposeUnusedWeightTensors';\nimport { loadSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';\nimport { extractWeightEntryFactory } from '../common/extractWeightEntryFactory';\nimport { ParamMapping } from '../common/types';\nimport { TinyYolov2Config } from './config';\nimport { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';\n\nfunction extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {\n const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);\n\n function extractBatchNormParams(prefix: string): BatchNorm {\n const sub = extractWeightEntry(`${prefix}/sub`, 1);\n const truediv = extractWeightEntry(`${prefix}/truediv`, 1);\n return { sub, truediv };\n }\n\n function extractConvParams(prefix: string): ConvParams {\n const filters = extractWeightEntry(`${prefix}/filters`, 4);\n const bias = extractWeightEntry(`${prefix}/bias`, 1);\n return { filters, bias };\n }\n\n function extractConvWithBatchNormParams(prefix: string): ConvWithBatchNorm {\n const conv = extractConvParams(`${prefix}/conv`);\n const bn = extractBatchNormParams(`${prefix}/bn`);\n return { conv, bn };\n }\n\n const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);\n return {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n };\n}\n\nexport function extractParamsFromWeightMap(\n weightMap: tf.NamedTensorMap,\n config: TinyYolov2Config,\n): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n const paramMappings: ParamMapping[] = [];\n\n const {\n extractConvParams,\n extractConvWithBatchNormParams,\n extractSeparableConvParams,\n } = extractorsFactory(weightMap, paramMappings);\n\n let params: TinyYolov2NetParams;\n\n if (config.withSeparableConvs) {\n // eslint-disable-next-line no-mixed-operators\n const numFilters = (config.filterSizes && config.filterSizes.length || 9);\n params = {\n conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),\n conv1: extractSeparableConvParams('conv1'),\n conv2: extractSeparableConvParams('conv2'),\n conv3: extractSeparableConvParams('conv3'),\n conv4: extractSeparableConvParams('conv4'),\n conv5: extractSeparableConvParams('conv5'),\n conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,\n conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,\n conv8: extractConvParams('conv8'),\n };\n } else {\n params = {\n conv0: extractConvWithBatchNormParams('conv0'),\n conv1: extractConvWithBatchNormParams('conv1'),\n conv2: extractConvWithBatchNormParams('conv2'),\n conv3: extractConvWithBatchNormParams('conv3'),\n conv4: extractConvWithBatchNormParams('conv4'),\n conv5: extractConvWithBatchNormParams('conv5'),\n conv6: extractConvWithBatchNormParams('conv6'),\n conv7: extractConvWithBatchNormParams('conv7'),\n conv8: extractConvParams('conv8'),\n };\n }\n\n disposeUnusedWeightTensors(weightMap, paramMappings);\n return { params, paramMappings };\n}\n", "export interface ITinyYolov2Options {\n inputSize?: number\n scoreThreshold?: number\n}\n\nexport class TinyYolov2Options {\n protected _name = 'TinyYolov2Options';\n\n private _inputSize: number;\n\n private _scoreThreshold: number;\n\n constructor({ inputSize, scoreThreshold }: ITinyYolov2Options = {}) {\n this._inputSize = inputSize || 416;\n this._scoreThreshold = scoreThreshold || 0.5;\n\n if (typeof this._inputSize !== 'number' || this._inputSize % 32 !== 0) {\n throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);\n }\n\n if (typeof this._scoreThreshold !== 'number' || this._scoreThreshold <= 0 || this._scoreThreshold >= 1) {\n throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`);\n }\n }\n\n get inputSize(): number { return this._inputSize; }\n\n get scoreThreshold(): number { return this._scoreThreshold; }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { BoundingBox } from '../classes/BoundingBox';\nimport { Dimensions } from '../classes/Dimensions';\nimport { ObjectDetection } from '../classes/ObjectDetection';\nimport { convLayer } from '../common/index';\nimport { ConvParams, SeparableConvParams } from '../common/types';\nimport { toNetInput } from '../dom/index';\nimport { NetInput } from '../dom/NetInput';\nimport { TNetInput } from '../dom/types';\nimport { NeuralNetwork } from '../NeuralNetwork';\nimport { sigmoid } from '../ops/index';\nimport { nonMaxSuppression } from '../ops/nonMaxSuppression';\nimport { normalize } from '../ops/normalize';\nimport { TinyYolov2Config, validateConfig } from './config';\nimport { convWithBatchNorm } from './convWithBatchNorm';\nimport { depthwiseSeparableConv } from './depthwiseSeparableConv';\nimport { extractParams } from './extractParams';\nimport { extractParamsFromWeightMap } from './extractParamsFromWeightMap';\nimport { leaky } from './leaky';\nimport { ITinyYolov2Options, TinyYolov2Options } from './TinyYolov2Options';\nimport { DefaultTinyYolov2NetParams, MobilenetParams, TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2Base extends NeuralNetwork {\n public static DEFAULT_FILTER_SIZES = [3, 16, 32, 64, 128, 256, 512, 1024, 1024];\n\n private _config: TinyYolov2Config;\n\n constructor(config: TinyYolov2Config) {\n super('TinyYolov2');\n validateConfig(config);\n this._config = config;\n }\n\n public get config(): TinyYolov2Config {\n return this._config;\n }\n\n public get withClassScores(): boolean {\n return this.config.withClassScores || this.config.classes.length > 1;\n }\n\n public get boxEncodingSize(): number {\n return 5 + (this.withClassScores ? this.config.classes.length : 0);\n }\n\n public runTinyYolov2(x: tf.Tensor4D, params: DefaultTinyYolov2NetParams): tf.Tensor4D {\n let out = convWithBatchNorm(x, params.conv0);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = convWithBatchNorm(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = convWithBatchNorm(out, params.conv6);\n out = convWithBatchNorm(out, params.conv7);\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public runMobilenet(x: tf.Tensor4D, params: MobilenetParams): tf.Tensor4D {\n let out = this.config.isFirstLayerConv2d\n ? leaky(convLayer(x, params.conv0 as ConvParams, 'valid', false))\n : depthwiseSeparableConv(x, params.conv0 as SeparableConvParams);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv1);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv2);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv3);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv4);\n out = tf.maxPool(out, [2, 2], [2, 2], 'same');\n out = depthwiseSeparableConv(out, params.conv5);\n out = tf.maxPool(out, [2, 2], [1, 1], 'same');\n out = params.conv6 ? depthwiseSeparableConv(out, params.conv6) : out;\n out = params.conv7 ? depthwiseSeparableConv(out, params.conv7) : out;\n return convLayer(out, params.conv8, 'valid', false);\n }\n\n public forwardInput(input: NetInput, inputSize: number): tf.Tensor4D {\n const { params } = this;\n\n if (!params) {\n throw new Error('TinyYolov2 - load model before inference');\n }\n\n return tf.tidy(() => {\n let batchTensor = tf.cast(input.toBatchTensor(inputSize, false), 'float32');\n batchTensor = this.config.meanRgb\n ? normalize(batchTensor, this.config.meanRgb)\n : batchTensor;\n batchTensor = batchTensor.div(255) as tf.Tensor4D;\n return this.config.withSeparableConvs\n ? this.runMobilenet(batchTensor, params as MobilenetParams)\n : this.runTinyYolov2(batchTensor, params as DefaultTinyYolov2NetParams);\n });\n }\n\n public async forward(input: TNetInput, inputSize: number): Promise {\n return this.forwardInput(await toNetInput(input), inputSize);\n }\n\n public async detect(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise {\n const { inputSize, scoreThreshold } = new TinyYolov2Options(forwardParams);\n const netInput = await toNetInput(input);\n const out = await this.forwardInput(netInput, inputSize);\n const out0 = tf.tidy(() => tf.unstack(out)[0].expandDims()) as tf.Tensor4D;\n const inputDimensions = {\n width: netInput.getInputWidth(0),\n height: netInput.getInputHeight(0),\n };\n\n const results = await this.extractBoxes(out0, netInput.getReshapedInputDimensions(0), scoreThreshold);\n out.dispose();\n out0.dispose();\n\n const boxes = results.map((res) => res.box);\n const scores = results.map((res) => res.score);\n const classScores = results.map((res) => res.classScore);\n const classNames = results.map((res) => this.config.classes[res.label]);\n\n const indices = nonMaxSuppression(\n boxes.map((box) => box.rescale(inputSize)),\n scores,\n this.config.iouThreshold,\n true,\n );\n\n const detections = indices.map((idx) => new ObjectDetection(\n scores[idx],\n classScores[idx],\n classNames[idx],\n boxes[idx],\n inputDimensions,\n ));\n return detections;\n }\n\n protected getDefaultModelName(): string {\n return '';\n }\n\n protected extractParamsFromWeightMap(weightMap: tf.NamedTensorMap) {\n return extractParamsFromWeightMap(weightMap, this.config);\n }\n\n protected extractParams(weights: Float32Array) {\n const filterSizes = this.config.filterSizes || TinyYolov2Base.DEFAULT_FILTER_SIZES;\n\n const numFilters = filterSizes ? filterSizes.length : undefined;\n if (numFilters !== 7 && numFilters !== 8 && numFilters !== 9) {\n throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${numFilters} filterSizes in config`);\n }\n return extractParams(weights, this.config, this.boxEncodingSize, filterSizes);\n }\n\n protected async extractBoxes(\n outputTensor: tf.Tensor4D,\n inputBlobDimensions: Dimensions,\n scoreThreshold?: number,\n ) {\n const { width, height } = inputBlobDimensions;\n const inputSize = Math.max(width, height);\n const correctionFactorX = inputSize / width;\n const correctionFactorY = inputSize / height;\n\n const numCells = outputTensor.shape[1];\n const numBoxes = this.config.anchors.length;\n\n const [boxesTensor, scoresTensor, classScoresTensor] = tf.tidy(() => {\n const reshaped = outputTensor.reshape([numCells, numCells, numBoxes, this.boxEncodingSize]);\n\n const boxes = reshaped.slice([0, 0, 0, 0], [numCells, numCells, numBoxes, 4]);\n const scores = reshaped.slice([0, 0, 0, 4], [numCells, numCells, numBoxes, 1]);\n const classScores = this.withClassScores\n ? tf.softmax(reshaped.slice([0, 0, 0, 5], [numCells, numCells, numBoxes, this.config.classes.length]), 3)\n : tf.scalar(0);\n return [boxes, scores, classScores];\n });\n\n const results = [] as any;\n const scoresData = await scoresTensor.array();\n const boxesData = await boxesTensor.array();\n for (let row = 0; row < numCells; row++) {\n for (let col = 0; col < numCells; col++) {\n for (let anchor = 0; anchor < numBoxes; anchor++) {\n const score = sigmoid(scoresData[row][col][anchor][0]);\n if (!scoreThreshold || score > scoreThreshold) {\n const ctX = ((col + sigmoid(boxesData[row][col][anchor][0])) / numCells) * correctionFactorX;\n const ctY = ((row + sigmoid(boxesData[row][col][anchor][1])) / numCells) * correctionFactorY;\n const widthLocal = ((Math.exp(boxesData[row][col][anchor][2]) * this.config.anchors[anchor].x) / numCells) * correctionFactorX;\n const heightLocal = ((Math.exp(boxesData[row][col][anchor][3]) * this.config.anchors[anchor].y) / numCells) * correctionFactorY;\n const x = (ctX - (widthLocal / 2));\n const y = (ctY - (heightLocal / 2));\n const pos = { row, col, anchor };\n const { classScore, label } = this.withClassScores\n ? await this.extractPredictedClass(classScoresTensor as tf.Tensor4D, pos)\n : { classScore: 1, label: 0 };\n results.push({\n box: new BoundingBox(x, y, x + widthLocal, y + heightLocal),\n score,\n classScore: score * classScore,\n label,\n ...pos,\n });\n }\n }\n }\n }\n\n boxesTensor.dispose();\n scoresTensor.dispose();\n classScoresTensor.dispose();\n return results;\n }\n\n private async extractPredictedClass(classesTensor: tf.Tensor4D, pos: { row: number, col: number, anchor: number }) {\n const { row, col, anchor } = pos;\n const classesData = await classesTensor.array();\n return Array(this.config.classes.length).fill(0)\n .map((_, i) => classesData[row][col][anchor][i])\n .map((classScore, label) => ({\n classScore,\n label,\n }))\n .reduce((max, curr) => (max.classScore > curr.classScore ? max : curr));\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/types';\nimport { TNetInput } from '../dom/types';\nimport {\n BOX_ANCHORS,\n BOX_ANCHORS_SEPARABLE,\n DEFAULT_MODEL_NAME,\n DEFAULT_MODEL_NAME_SEPARABLE_CONV,\n IOU_THRESHOLD,\n MEAN_RGB_SEPARABLE,\n} from './const';\nimport { TinyYolov2Base } from './TinyYolov2Base';\nimport { ITinyYolov2Options } from './TinyYolov2Options';\nimport { TinyYolov2NetParams } from './types';\n\nexport class TinyYolov2 extends TinyYolov2Base {\n constructor(withSeparableConvs = true) {\n const config = {\n withSeparableConvs,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n ...(withSeparableConvs\n ? {\n anchors: BOX_ANCHORS_SEPARABLE,\n meanRgb: MEAN_RGB_SEPARABLE,\n }\n : {\n anchors: BOX_ANCHORS,\n withClassScores: true,\n }),\n };\n\n super(config);\n }\n\n public get withSeparableConvs(): boolean {\n return this.config.withSeparableConvs;\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { TinyYolov2 } from './TinyYolov2';\n\nexport * from './TinyYolov2Options';\nexport * from './config';\nexport * from './types';\nexport { TinyYolov2 };\n\nexport function createTinyYolov2(weights: Float32Array, withSeparableConvs = true) {\n const net = new TinyYolov2(withSeparableConvs);\n net.extractWeights(weights);\n return net;\n}\n", "import { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\n\nexport type ITinyFaceDetectorOptions = ITinyYolov2Options\n\nexport class TinyFaceDetectorOptions extends TinyYolov2Options {\n protected override _name = 'TinyFaceDetectorOptions';\n}\n", "export class ComposableTask {\n // eslint-disable-next-line no-unused-vars\n public async then(onfulfilled: (value: T) => T | PromiseLike): Promise {\n return onfulfilled(await this.run());\n }\n\n public async run(): Promise {\n throw new Error('ComposableTask - run is not implemented');\n }\n}\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { isWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\n\nexport async function extractAllFacesAndComputeResults, TResult>(\n parentResults: TSource[],\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResults: (faces: Array) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment: (parentResult: WithFaceLandmarks) => FaceDetection = ({ alignedRect }) => alignedRect,\n) {\n const faceBoxes = parentResults.map((parentResult) => (isWithFaceLandmarks(parentResult)\n ? getRectForAlignment(parentResult)\n : parentResult.detection));\n const faces: Array = extractedFaces || (\n input instanceof tf.Tensor\n ? await extractFaceTensors(input, faceBoxes)\n : await extractFaces(input, faceBoxes)\n );\n const results = await computeResults(faces);\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return results;\n}\n\nexport async function extractSingleFaceAndComputeResult, TResult>(\n parentResult: TSource,\n input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n computeResult: (face: HTMLCanvasElement | tf.Tensor3D) => Promise,\n extractedFaces?: Array | null,\n // eslint-disable-next-line no-unused-vars\n getRectForAlignment?: (parentResultLocal: WithFaceLandmarks) => FaceDetection,\n) {\n return extractAllFacesAndComputeResults(\n [parentResult],\n input,\n async (faces) => computeResult(faces[0]),\n extractedFaces,\n getRectForAlignment,\n );\n}\n", "import { Point } from '../classes/index';\n\nexport const IOU_THRESHOLD = 0.4;\n\nexport const BOX_ANCHORS = [\n new Point(1.603231, 2.094468),\n new Point(6.041143, 7.080126),\n new Point(2.882459, 3.518061),\n new Point(4.266906, 5.178857),\n new Point(9.041765, 10.66308),\n];\n\nexport const MEAN_RGB: [number, number, number] = [117.001, 114.697, 97.404];\n", "import * as tf from '../../dist/tfjs.esm';\n\nimport { FaceDetection, Point } from '../classes/index';\nimport { ParamMapping } from '../common/index';\nimport { TNetInput } from '../dom/index';\nimport { ITinyYolov2Options } from '../tinyYolov2/index';\nimport { TinyYolov2Base } from '../tinyYolov2/TinyYolov2Base';\nimport { TinyYolov2NetParams } from '../tinyYolov2/types';\nimport { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';\n\nexport class TinyFaceDetector extends TinyYolov2Base {\n constructor() {\n const config = {\n withSeparableConvs: true,\n iouThreshold: IOU_THRESHOLD,\n classes: ['face'],\n anchors: BOX_ANCHORS,\n meanRgb: MEAN_RGB,\n isFirstLayerConv2d: true,\n filterSizes: [3, 16, 32, 64, 128, 256, 512],\n };\n\n super(config);\n }\n\n public get anchors(): Point[] {\n return this.config.anchors;\n }\n\n public async locateFaces(input: TNetInput, forwardParams: ITinyYolov2Options): Promise {\n const objectDetections = await this.detect(input, forwardParams);\n return objectDetections.map((det) => new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }));\n }\n\n protected override getDefaultModelName(): string {\n return 'tiny_face_detector_model';\n }\n\n protected override extractParamsFromWeightMap(weightMap: tf.NamedTensorMap): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {\n return super.extractParamsFromWeightMap(weightMap);\n }\n}\n", "import { AgeGenderNet } from '../ageGenderNet/AgeGenderNet';\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';\nimport { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { ITinyYolov2Options, TinyYolov2 } from '../tinyYolov2/index';\n\nexport const nets = {\n ssdMobilenetv1: new SsdMobilenetv1(),\n tinyFaceDetector: new TinyFaceDetector(),\n tinyYolov2: new TinyYolov2(),\n faceLandmark68Net: new FaceLandmark68Net(),\n faceLandmark68TinyNet: new FaceLandmark68TinyNet(),\n faceRecognitionNet: new FaceRecognitionNet(),\n faceExpressionNet: new FaceExpressionNet(),\n ageGenderNet: new AgeGenderNet(),\n};\n\n/**\n * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const ssdMobilenetv1 = (input: TNetInput, options: SsdMobilenetv1Options): Promise => nets.ssdMobilenetv1.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Face Detector.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyFaceDetector = (input: TNetInput, options: TinyFaceDetectorOptions): Promise => nets.tinyFaceDetector.locateFaces(input, options);\n\n/**\n * Attempts to detect all faces in an image using the Tiny Yolov2 Network.\n *\n * @param input The input image.\n * @param options (optional, default: see TinyYolov2Options constructor for default parameters).\n * @returns Bounding box of each face with score.\n */\nexport const tinyYolov2 = (input: TNetInput, options: ITinyYolov2Options): Promise => nets.tinyYolov2.locateFaces(input, options);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarks = (input: TNetInput): Promise => nets.faceLandmark68Net.detectLandmarks(input);\n\n/**\n * Detects the 68 point face landmark positions of the face shown in an image\n * using a tinier version of the 68 point face landmark model, which is slightly\n * faster at inference, but also slightly less accurate.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns 68 point face landmarks or array thereof in case of batch input.\n */\nexport const detectFaceLandmarksTiny = (input: TNetInput): Promise => nets.faceLandmark68TinyNet.detectLandmarks(input);\n\n/**\n * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,\n * which uniquely represents the features of that persons face. The computed face descriptor can\n * be used to measure the similarity between faces, by computing the euclidean distance of two\n * face descriptors.\n *\n * @param inputs The face image extracted from the aligned bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Face descriptor with 128 entries or array thereof in case of batch input.\n */\nexport const computeFaceDescriptor = (input: TNetInput): Promise => nets.faceRecognitionNet.computeFaceDescriptor(input);\n\n/**\n * Recognizes the facial expressions from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Facial expressions with corresponding probabilities or array thereof in case of batch input.\n */\nexport const recognizeFaceExpressions = (input: TNetInput): Promise => nets.faceExpressionNet.predictExpressions(input);\n\n/**\n * Predicts age and gender from a face image.\n *\n * @param inputs The face image extracted from the bounding box of a face. Can\n * also be an array of input images, which will be batch processed.\n * @returns Predictions with age, gender and gender probability or array thereof in case of batch input.\n */\nexport const predictAgeAndGender = (input: TNetInput): Promise => nets.ageGenderNet.predictAgeAndGender(input);\n\nexport const loadSsdMobilenetv1Model = (url: string) => nets.ssdMobilenetv1.load(url);\nexport const loadTinyFaceDetectorModel = (url: string) => nets.tinyFaceDetector.load(url);\nexport const loadTinyYolov2Model = (url: string) => nets.tinyYolov2.load(url);\nexport const loadFaceLandmarkModel = (url: string) => nets.faceLandmark68Net.load(url);\nexport const loadFaceLandmarkTinyModel = (url: string) => nets.faceLandmark68TinyNet.load(url);\nexport const loadFaceRecognitionModel = (url: string) => nets.faceRecognitionNet.load(url);\nexport const loadFaceExpressionModel = (url: string) => nets.faceExpressionNet.load(url);\nexport const loadAgeGenderModel = (url: string) => nets.ageGenderNet.load(url);\n\n// backward compatibility\nexport const loadFaceDetectionModel = loadSsdMobilenetv1Model;\nexport const locateFaces = ssdMobilenetv1;\nexport const detectLandmarks = detectFaceLandmarks;\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { TNetInput } from '../dom/index';\nimport { FaceExpressions } from '../faceExpressionNet/FaceExpressions';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceExpressions, WithFaceExpressions } from '../factories/WithFaceExpressions';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\n\nexport class PredictFaceExpressionsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllFaceExpressionsTask> extends PredictFaceExpressionsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n\n const faceExpressionsByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(\n faces.map((face) => nets.faceExpressionNet.predictExpressions(face) as Promise),\n ),\n this.extractedFaces,\n );\n\n return parentResults.map(\n (parentResult, i) => extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]),\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsTask> extends PredictFaceExpressionsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n\n const faceExpressions = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceExpressionNet.predictExpressions(face) as Promise,\n this.extractedFaces,\n );\n\n return extendWithFaceExpressions(parentResult, faceExpressions);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(this, this.input);\n }\n}\n\nexport class PredictAllFaceExpressionsWithFaceAlignmentTask>> extends PredictAllFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleFaceExpressionsWithFaceAlignmentTask>> extends PredictSingleFaceExpressionsTask {\n override withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { AgeAndGenderPrediction } from '../ageGenderNet/types';\nimport { TNetInput } from '../dom/index';\nimport { extendWithAge, WithAge } from '../factories/WithAge';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { extendWithGender, WithGender } from '../factories/WithGender';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class PredictAgeAndGenderTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected extractedFaces?: Array,\n ) {\n super();\n }\n}\n\nexport class PredictAllAgeAndGenderTask> extends PredictAgeAndGenderTaskBase>[], TSource[]> {\n public override async run(): Promise>[]> {\n const parentResults = await this.parentTask;\n const ageAndGenderByFace = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n async (faces) => Promise.all(faces.map((face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise)),\n this.extractedFaces,\n );\n return parentResults.map((parentResult, i) => {\n const { age, gender, genderProbability } = ageAndGenderByFace[i];\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n });\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderTask> extends PredictAgeAndGenderTaskBase> | undefined, TSource | undefined> {\n public override async run(): Promise> | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const { age, gender, genderProbability } = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.ageGenderNet.predictAgeAndGender(face) as Promise,\n this.extractedFaces,\n );\n return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(this, this.input);\n }\n}\n\nexport class PredictAllAgeAndGenderWithFaceAlignmentTask>> extends PredictAllAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class PredictSingleAgeAndGenderWithFaceAlignmentTask>> extends PredictSingleAgeAndGenderTask {\n override withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDescriptor, WithFaceDescriptor } from '../factories/WithFaceDescriptor';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class ComputeFaceDescriptorsTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n ) {\n super();\n }\n}\n\nexport class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const descriptors = await extractAllFacesAndComputeResults(\n parentResults,\n this.input,\n (faces) => Promise.all(faces.map((face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise)),\n null,\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return descriptors.map((descriptor, i) => extendWithFaceDescriptor(parentResults[i], descriptor));\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n\nexport class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) return undefined;\n const descriptor = await extractSingleFaceAndComputeResult(\n parentResult,\n this.input,\n (face) => nets.faceRecognitionNet.computeFaceDescriptor(face) as Promise,\n null,\n // eslint-disable-next-line no-shadow, @typescript-eslint/no-shadow\n (parentResult) => parentResult.landmarks.align(null, { useDlibAlignment: true }),\n );\n return extendWithFaceDescriptor(parentResult, descriptor);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport * as tf from '../../dist/tfjs.esm';\n\nimport { FaceLandmarks68 } from '../classes/FaceLandmarks68';\nimport { extractFaces, extractFaceTensors, TNetInput } from '../dom/index';\nimport { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';\nimport { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';\nimport { WithFaceDetection } from '../factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';\nimport { ComposableTask } from './ComposableTask';\nimport { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask } from './PredictFaceExpressionsTask';\n\nexport class DetectFaceLandmarksTaskBase extends ComposableTask {\n constructor(\n // eslint-disable-next-line no-unused-vars\n protected parentTask: ComposableTask | Promise,\n // eslint-disable-next-line no-unused-vars\n protected input: TNetInput,\n // eslint-disable-next-line no-unused-vars\n protected useTinyLandmarkNet: boolean,\n ) {\n super();\n }\n\n protected get landmarkNet(): FaceLandmark68Net | FaceLandmark68TinyNet {\n return this.useTinyLandmarkNet\n ? nets.faceLandmark68TinyNet\n : nets.faceLandmark68Net;\n }\n}\n\nexport class DetectAllFaceLandmarksTask> extends DetectFaceLandmarksTaskBase[], TSource[]> {\n public override async run(): Promise[]> {\n const parentResults = await this.parentTask;\n const detections = parentResults.map((res) => res.detection);\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, detections)\n : await extractFaces(this.input, detections);\n const faceLandmarksByFace = await Promise.all(faces.map((face) => this.landmarkNet.detectLandmarks(face))) as FaceLandmarks68[];\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n const result = parentResults\n .filter((_parentResult, i) => faceLandmarksByFace[i])\n .map((parentResult, i) => extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]));\n return result;\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptors() {\n return new ComputeAllFaceDescriptorsTask(this, this.input);\n }\n}\n\nexport class DetectSingleFaceLandmarksTask> extends DetectFaceLandmarksTaskBase | undefined, TSource | undefined> {\n public override async run(): Promise | undefined> {\n const parentResult = await this.parentTask;\n if (!parentResult) {\n return undefined;\n }\n const { detection } = parentResult;\n const faces: Array = this.input instanceof tf.Tensor\n ? await extractFaceTensors(this.input, [detection])\n : await extractFaces(this.input, [detection]);\n const landmarks = await this.landmarkNet.detectLandmarks(faces[0]) as FaceLandmarks68;\n faces.forEach((f) => f instanceof tf.Tensor && f.dispose());\n return extendWithFaceLandmarks(parentResult, landmarks);\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);\n }\n\n withFaceDescriptor() {\n return new ComputeSingleFaceDescriptorTask(this, this.input);\n }\n}\n", "/* eslint-disable max-classes-per-file */\nimport { FaceDetection } from '../classes/FaceDetection';\nimport { TNetInput } from '../dom/index';\nimport { extendWithFaceDetection, WithFaceDetection } from '../factories/WithFaceDetection';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';\nimport { TinyYolov2Options } from '../tinyYolov2/index';\nimport { ComposableTask } from './ComposableTask';\nimport { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';\nimport { nets } from './nets';\nimport { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';\nimport { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';\nimport { FaceDetectionOptions } from './types';\n\nexport class DetectFacesTaskBase extends ComposableTask {\n // eslint-disable-next-line no-unused-vars\n constructor(protected input: TNetInput, protected options: FaceDetectionOptions = new SsdMobilenetv1Options()) {\n super();\n }\n}\n\nexport class DetectAllFacesTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const { input, options } = this;\n let result;\n if (options instanceof TinyFaceDetectorOptions) result = nets.tinyFaceDetector.locateFaces(input, options);\n else if (options instanceof SsdMobilenetv1Options) result = nets.ssdMobilenetv1.locateFaces(input, options);\n else if (options instanceof TinyYolov2Options) result = nets.tinyYolov2.locateFaces(input, options);\n else throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options');\n return result;\n }\n\n private runAndExtendWithFaceDetections(): Promise[]> {\n return new Promise[]>((resolve, reject) => {\n this.run()\n .then((detections) => resolve(detections.map((detection) => extendWithFaceDetection({}, detection))))\n .catch((err) => reject(err));\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectAllFaceLandmarksTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictAllFaceExpressionsTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictAllAgeAndGenderTask(\n this.runAndExtendWithFaceDetections(),\n this.input,\n );\n }\n}\n\nexport class DetectSingleFaceTask extends DetectFacesTaskBase {\n public override async run(): Promise {\n const faceDetections = await new DetectAllFacesTask(this.input, this.options);\n let faceDetectionWithHighestScore = faceDetections[0];\n faceDetections.forEach((faceDetection) => {\n if (faceDetection.score > faceDetectionWithHighestScore.score) faceDetectionWithHighestScore = faceDetection;\n });\n return faceDetectionWithHighestScore;\n }\n\n private runAndExtendWithFaceDetection(): Promise | undefined> {\n // eslint-disable-next-line no-async-promise-executor\n return new Promise | undefined>(async (resolve) => {\n const detection = await this.run();\n resolve(detection ? extendWithFaceDetection<{}>({}, detection) : undefined);\n });\n }\n\n withFaceLandmarks(useTinyLandmarkNet = false) {\n return new DetectSingleFaceLandmarksTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n useTinyLandmarkNet,\n );\n }\n\n withFaceExpressions() {\n return new PredictSingleFaceExpressionsTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n\n withAgeAndGender() {\n return new PredictSingleAgeAndGenderTask(\n this.runAndExtendWithFaceDetection(),\n this.input,\n );\n }\n}\n", "import { TNetInput } from '../dom/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';\nimport { DetectAllFacesTask, DetectSingleFaceTask } from './DetectFacesTasks';\nimport { FaceDetectionOptions } from './types';\n\nexport function detectSingleFace(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectSingleFaceTask {\n return new DetectSingleFaceTask(input, options);\n}\n\nexport function detectAllFaces(input: TNetInput, options: FaceDetectionOptions = new SsdMobilenetv1Options()): DetectAllFacesTask {\n return new DetectAllFacesTask(input, options);\n}\n", "import { TNetInput } from '../dom/index';\nimport { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories/index';\nimport { SsdMobilenetv1Options } from '../ssdMobilenetv1/index';\nimport { ITinyYolov2Options, TinyYolov2Options } from '../tinyYolov2/index';\nimport { detectAllFaces } from './detectFaces';\n\nexport async function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise>>[]> {\n return detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence } : {}))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport async function allFacesTinyYolov2(input: TNetInput, forwardParams: ITinyYolov2Options = {}): Promise>>[]> {\n return detectAllFaces(input, new TinyYolov2Options(forwardParams))\n .withFaceLandmarks()\n .withFaceDescriptors();\n}\n\nexport const allFaces = allFacesSsdMobilenetv1;\n", "export function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array) {\n if (arr1.length !== arr2.length) throw new Error('euclideanDistance: arr1.length !== arr2.length');\n const desc1 = Array.from(arr1);\n const desc2 = Array.from(arr2);\n return Math.sqrt(\n desc1\n .map((val, i) => val - desc2[i])\n .reduce((res, diff) => res + (diff * diff), 0),\n );\n}\n", "import { FaceMatch } from '../classes/FaceMatch';\nimport { LabeledFaceDescriptors } from '../classes/LabeledFaceDescriptors';\nimport { euclideanDistance } from '../euclideanDistance';\nimport { WithFaceDescriptor } from '../factories/index';\n\nexport class FaceMatcher {\n private _labeledDescriptors: LabeledFaceDescriptors[];\n private _distanceThreshold: number;\n\n constructor(inputs: LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>, distanceThreshold = 0.6) {\n this._distanceThreshold = distanceThreshold;\n const inputArray = Array.isArray(inputs) ? inputs : [inputs];\n if (!inputArray.length) throw new Error('FaceRecognizer.constructor - expected atleast one input');\n let count = 1;\n const createUniqueLabel = () => `person ${count++}`;\n this._labeledDescriptors = inputArray.map((desc) => {\n if (desc instanceof LabeledFaceDescriptors) return desc;\n if (desc instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc]);\n if (desc.descriptor && desc.descriptor instanceof Float32Array) return new LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);\n throw new Error('FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>');\n });\n }\n\n public get labeledDescriptors(): LabeledFaceDescriptors[] { return this._labeledDescriptors; }\n\n public get distanceThreshold(): number { return this._distanceThreshold; }\n\n public computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number {\n return descriptors\n .map((d) => euclideanDistance(d, queryDescriptor))\n .reduce((d1, d2) => d1 + d2, 0) / (descriptors.length || 1);\n }\n\n public matchDescriptor(queryDescriptor: Float32Array): FaceMatch {\n return this.labeledDescriptors\n .map(({ descriptors, label }) => new FaceMatch(label, this.computeMeanDistance(queryDescriptor, descriptors)))\n .reduce((best, curr) => (best.distance < curr.distance ? best : curr));\n }\n\n public findBestMatch(queryDescriptor: Float32Array): FaceMatch {\n const bestMatch = this.matchDescriptor(queryDescriptor);\n return (bestMatch.distance < this._distanceThreshold) ? bestMatch : new FaceMatch('unknown', bestMatch.distance);\n }\n\n public toJSON(): any {\n return {\n distanceThreshold: this._distanceThreshold,\n labeledDescriptors: this._labeledDescriptors.map((ld) => ld.toJSON()),\n };\n }\n\n public static fromJSON(json: any): FaceMatcher {\n const labeledDescriptors = json.labeledDescriptors.map((ld: any) => LabeledFaceDescriptors.fromJSON(ld));\n return new FaceMatcher(labeledDescriptors, json.distanceThreshold);\n }\n}\n", "import { TinyFaceDetector } from './TinyFaceDetector';\n\nexport * from './TinyFaceDetector';\nexport * from './TinyFaceDetectorOptions';\n\nexport function createTinyFaceDetector(weights: Float32Array) {\n const net = new TinyFaceDetector();\n net.extractWeights(weights);\n return net;\n}\n", "import { Dimensions, IDimensions } from './classes/index';\nimport { FaceDetection } from './classes/FaceDetection';\nimport { FaceLandmarks } from './classes/FaceLandmarks';\nimport { extendWithFaceDetection, isWithFaceDetection } from './factories/WithFaceDetection';\nimport { extendWithFaceLandmarks, isWithFaceLandmarks } from './factories/WithFaceLandmarks';\n\nexport function resizeResults(results: T, dimensions: IDimensions): T {\n const { width, height } = new Dimensions(dimensions.width, dimensions.height);\n\n if (width <= 0 || height <= 0) {\n throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({ width, height })}`);\n }\n\n if (Array.isArray(results)) {\n // return results.map(obj => resizeResults(obj, { width, height })) as any as T\n return (results as Array).map((obj) => resizeResults(obj, { width, height } as IDimensions)) as any as T;\n }\n\n if (isWithFaceLandmarks(results)) {\n const resizedDetection = results.detection.forSize(width, height);\n const resizedLandmarks = results.unshiftedLandmarks.forSize(resizedDetection.box.width, resizedDetection.box.height);\n return extendWithFaceLandmarks(extendWithFaceDetection(results, resizedDetection), resizedLandmarks);\n }\n\n if (isWithFaceDetection(results)) {\n return extendWithFaceDetection(results, results.detection.forSize(width, height));\n }\n\n if (results instanceof FaceLandmarks || results instanceof FaceDetection) {\n return (results as any).forSize(width, height);\n }\n\n return results;\n}\n", "import * as tf from '../dist/tfjs.esm';\nimport * as draw from './draw/index';\nimport * as utils from './utils/index';\nimport * as pkg from '../package.json';\n\nexport { tf, draw, utils };\n\nexport * from './ageGenderNet/index';\nexport * from './classes/index';\nexport * from './dom/index';\nexport * from './env/index';\nexport * from './faceExpressionNet/index';\nexport * from './faceLandmarkNet/index';\nexport * from './faceRecognitionNet/index';\nexport * from './factories/index';\nexport * from './globalApi/index';\nexport * from './ops/index';\nexport * from './ssdMobilenetv1/index';\nexport * from './tinyFaceDetector/index';\nexport * from './tinyYolov2/index';\nexport * from './euclideanDistance';\nexport * from './NeuralNetwork';\nexport * from './resizeResults';\n\nexport const version = pkg.version as string;\n\n// set webgl defaults\n// if (browser) tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n"], + "mappings": ";;;;;;+XAAA,IAAAA,GAAA,GAAAC,GAAAD,GAAA,SAAAE,GAAA,SAAAC,GAAA,UAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,yBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,2BAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,kBAAAC,GAAA,iBAAAC,GAAA,0BAAAC,GAAA,wCAAAC,GAAA,uCAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,6BAAAC,GAAA,4BAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,mBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,iBAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,sBAAAC,GAAA,gBAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,wBAAAC,GAAA,aAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,0BAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,0BAAAC,GAAA,8BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,iBAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,kBAAAC,GAAA,sBAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,2BAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,mBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,eAAAC,GAAA,aAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,QAAAC,EAAA,SAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,YAAAC,GAAA,iBAAAC,EAAA,kBAAAC,GAAA,cAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,aAAAC,GAAA,qBAAAC,GAAA,kBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,WAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,oBAAAC,GAAA,0BAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,SAAAC,GAAA,kBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,oBAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,+BAAAC,GAAA,YAAAC,GAAA,qBAAAC,GAAA,QAAAC,GAAA,aAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,oBAAAC,GAAA,mBAAAC,GAAA,wBAAAC,GAAA,WAAAC,GAAA,QAAAC,EAAA,UAAAC,GAAA,QAAAC,GAAA,kBAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,yBAAAC,GAAA,oBAAAC,IAAA,eAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,UAAAC,GAAA,OAAAC,GAAA,UAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,cAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,uBAAAC,GAAA,oBAAAC,GAAA,+BAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,cAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,eAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,YAAAC,GAAA,QAAAC,GAAA,YAAAC,GAAA,cAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,kBAAAC,GAAA,QAAAC,EAAA,iBAAAC,GAAA,gBAAAC,GAAA,QAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,WAAAC,GAAA,SAAAC,GAAA,aAAAC,GAAA,OAAAC,EAAA,iBAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,QAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,YAAAC,GAAA,iBAAAC,GAAA,gBAAAC,GAAA,yBAAAC,GAAA,SAAAC,GAAA,gBAAAC,GAAA,iBAAAC,GAAA,yBAAAC,GAAA,kBAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,eAAAC,GAAA,oBAAAC,GAAA,gCAAAC,GAAA,qBAAAC,GAAA,mBAAAC,GAAA,eAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,kBAAAC,GAAA,YAAAC,EAAA,YAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,cAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,UAAAC,GAAA,WAAAC,GAAA,cAAAC,GAAA,iBAAAC,GAAA,iBAAAC,GAAA,SAAAC,GAAA,oBAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,eAAAC,GAAA,gBAAAC,GAAA,oBAAAC,IAAA,gBAAAC,IAAA,iBAAAC,IAAA,oBAAAC,GAAA,mBAAAC,GAAA,YAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,mBAAAC,GAAA,WAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,sBAAAC,GAAA,YAAAC,GAAA,UAAAC,GAAA,SAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,QAAAC,GAAA,QAAAC,GAAA,eAAAC,GAAA,QAAAC,GAAA,SAAAC,GAAA,WAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,aAAAC,GAAA,gBAAAC,GAAA,cAAAC,GAAA,SAAAC,EAAA,SAAAC,GAAA,SAAAC,GAAA,SAAAC,GAAA,UAAAC,GAAA,cAAAC,GAAA,oBAAAC,GAAA,WAAAC,GAAA,uBAAAC,GAAA,qBAAAC,GAAA,uBAAAC,GAAA,YAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,SAAAC,EAAA,iBAAAC,GAAA,kBAAAC,GAAA,aAAAC,GAAA,kBAAAC,GAAA,YAAAC,IAAA,sBAAAC,GAAA,iBAAAC,GAAA,mBAAAC,GAAA,iBAAAC,IAAA,kBAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,eAAAC,GAAA,UAAAC,GAAA,cAAAC,KAMA,IAAIC,GAAG,OAAO,OAAWC,GAAG,OAAO,eAAmBC,GAAG,OAAO,yBAA6BC,GAAG,OAAO,oBAAwBC,GAAG,OAAO,eAAeC,GAAG,OAAO,UAAU,eAAmBC,GAAG,CAACC,EAAE,IAAI,KAAK,GAAGA,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,GAAG,QAAQ,CAAC,EAAE,EAAE,SAASC,GAAG,CAACD,EAAE,IAAI,CAAC,QAAQE,KAAK,EAAER,GAAGM,EAAEE,EAAE,CAAC,IAAI,EAAEA,CAAC,EAAE,WAAW,EAAE,CAAC,CAAC,EAAEC,GAAG,CAACH,EAAE,EAAEE,EAAEE,IAAI,CAAC,GAAG,GAAG,OAAO,GAAG,UAAU,OAAO,GAAG,WAAW,QAAQC,KAAKT,GAAG,CAAC,EAAE,CAACE,GAAG,KAAKE,EAAEK,CAAC,GAAGA,IAAIH,GAAGR,GAAGM,EAAEK,EAAE,CAAC,IAAI,IAAI,EAAEA,CAAC,EAAE,WAAW,EAAED,EAAET,GAAG,EAAEU,CAAC,IAAID,EAAE,UAAU,CAAC,EAAE,OAAOJ,CAAC,EAAMM,GAAG,CAACN,EAAE,EAAEE,KAAKA,EAAEF,GAAG,KAAKP,GAAGI,GAAGG,CAAC,CAAC,EAAE,CAAC,EAAEG,GAAG,GAAG,CAACH,GAAG,CAACA,EAAE,WAAWN,GAAGQ,EAAE,UAAU,CAAC,MAAMF,EAAE,WAAW,EAAE,CAAC,EAAEE,EAAEF,CAAC,GAAOO,GAAGR,GAAG,CAACS,EAAIC,IAAK,CAACA,EAAG,QAAQC,EAAG,IAAIC,EAAG,KAAK,GAAG,CAACA,EAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,IAAI,IAAI,IAAI,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,IAAI,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,IAAI,IAAI,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,EAAE,EAAE,EAAE,IAAI,IAAI,IAAI,GAAG,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,IAAI,GAAG,EAAE,IAAI,GAAG,GAAG,IAAI,IAAI,IAAI,GAAG,EAAE,GAAG,GAAG,IAAI,IAAI,GAAG,EAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,OAAOX,EAAN,CAAS,CAAC,SAASU,EAAGV,EAAEY,EAAEV,EAAE,CAAC,KAAK,IAAIF,EAAE,EAAE,KAAK,KAAKY,EAAE,EAAE,KAAK,SAAS,CAAC,CAACV,CAAC,CAACQ,EAAG,UAAU,WAAW,OAAO,eAAeA,EAAG,UAAU,aAAa,CAAC,MAAM,EAAE,CAAC,EAAE,SAASG,EAAGb,EAAE,CAAC,OAAOA,GAAGA,EAAE,cAAc,EAAE,CAACU,EAAG,OAAOG,EAAG,IAAIC,EAAG,CAAC,EAAEC,EAAG,CAAC,EAAE,SAASC,EAAGhB,EAAEY,EAAE,CAAC,IAAIV,EAAEE,EAAEC,EAAE,OAAOO,GAAGZ,KAAK,GAAGK,EAAE,GAAGL,GAAGA,EAAE,OAAOI,EAAEW,EAAGf,CAAC,EAAEI,GAAGA,GAAGF,EAAEe,EAAGjB,GAAGA,EAAE,GAAG,EAAE,GAAG,EAAE,EAAE,EAAEK,IAAIU,EAAGf,CAAC,EAAEE,GAAGA,KAAKF,GAAG,GAAGK,EAAE,MAAML,GAAGA,EAAE,OAAOI,EAAEU,EAAGd,CAAC,EAAEI,GAAGA,GAAGF,EAAEe,EAAGjB,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEK,IAAIS,EAAGd,CAAC,EAAEE,GAAGA,GAAG,CAACQ,EAAG,QAAQM,EAAG,SAASE,EAAGlB,EAAEY,EAAE,CAAC,GAAG,MAAMZ,CAAC,EAAE,OAAOY,EAAEO,EAAGC,EAAG,GAAGR,EAAE,CAAC,GAAGZ,EAAE,EAAE,OAAOmB,EAAG,GAAGnB,GAAGqB,EAAG,OAAOC,CAAE,KAAK,CAAC,GAAGtB,GAAG,CAACuB,EAAG,OAAOC,EAAG,GAAGxB,EAAE,GAAGuB,EAAG,OAAOE,CAAE,CAAC,OAAOzB,EAAE,EAAEkB,EAAG,CAAClB,EAAEY,CAAC,EAAE,IAAI,EAAEK,EAAGjB,EAAE0B,EAAG,EAAE1B,EAAE0B,EAAG,EAAEd,CAAC,CAAC,CAACF,EAAG,WAAWQ,EAAG,SAASD,EAAGjB,EAAEY,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGV,EAAEY,EAAEV,CAAC,CAAC,CAACQ,EAAG,SAASO,EAAG,IAAIU,EAAG,KAAK,IAAI,SAASC,EAAG5B,EAAEY,EAAEV,EAAE,CAAC,GAAGF,EAAE,SAAS,EAAE,MAAM,MAAM,cAAc,EAAE,GAAGA,IAAI,OAAOA,IAAI,YAAYA,IAAI,aAAaA,IAAI,YAAY,OAAOoB,EAAG,GAAG,OAAOR,GAAG,UAAUV,EAAEU,EAAEA,EAAE,IAAIA,EAAE,CAAC,CAACA,EAAEV,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,IAAIE,EAAE,IAAIA,EAAEJ,EAAE,QAAQ,GAAG,GAAG,EAAE,MAAM,MAAM,iBAAiB,EAAE,GAAGI,IAAI,EAAE,OAAOwB,EAAG5B,EAAE,UAAU,CAAC,EAAEY,EAAEV,CAAC,EAAE,IAAI,EAAE,QAAQG,EAAEa,EAAGS,EAAGzB,EAAE,CAAC,CAAC,EAAE2B,EAAET,EAAGU,EAAE,EAAEA,EAAE9B,EAAE,OAAO8B,GAAG,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE/B,EAAE,OAAO8B,CAAC,EAAEE,EAAE,SAAShC,EAAE,UAAU8B,EAAEA,EAAEC,CAAC,EAAE7B,CAAC,EAAE,GAAG6B,EAAE,EAAE,CAAC,IAAIE,GAAEf,EAAGS,EAAGzB,EAAE6B,CAAC,CAAC,EAAEF,EAAEA,EAAE,IAAII,EAAC,EAAE,IAAIf,EAAGc,CAAC,CAAC,CAAC,MAAMH,EAAEA,EAAE,IAAIxB,CAAC,EAAEwB,EAAEA,EAAE,IAAIX,EAAGc,CAAC,CAAC,CAAC,CAAC,OAAOH,EAAE,SAASjB,EAAEiB,CAAC,CAACnB,EAAG,WAAWkB,EAAG,SAASM,EAAGlC,EAAEY,EAAE,CAAC,OAAO,OAAOZ,GAAG,SAASkB,EAAGlB,EAAEY,CAAC,EAAE,OAAOZ,GAAG,SAAS4B,EAAG5B,EAAEY,CAAC,EAAEK,EAAGjB,EAAE,IAAIA,EAAE,KAAK,OAAOY,GAAG,UAAUA,EAAEZ,EAAE,QAAQ,CAAC,CAACU,EAAG,UAAUwB,EAAG,IAAIC,EAAG,GAAG,GAAGC,EAAG,GAAG,GAAGV,EAAGS,EAAGA,EAAGd,EAAGK,EAAGA,EAAGH,EAAGF,EAAG,EAAEgB,EAAGrB,EAAGoB,CAAE,EAAEhB,EAAGJ,EAAG,CAAC,EAAEN,EAAG,KAAKU,EAAG,IAAID,EAAGH,EAAG,EAAE,EAAE,EAAEN,EAAG,MAAMS,EAAG,IAAImB,EAAGtB,EAAG,CAAC,EAAEN,EAAG,IAAI4B,EAAG,IAAIC,EAAGvB,EAAG,EAAE,EAAE,EAAEN,EAAG,KAAK6B,EAAG,IAAIC,EAAGxB,EAAG,EAAE,EAAEN,EAAG,QAAQ8B,EAAG,IAAIf,EAAGR,EAAG,GAAG,WAAW,EAAE,EAAEP,EAAG,UAAUe,EAAG,IAAIH,EAAGL,EAAG,GAAG,GAAG,EAAE,EAAEP,EAAG,mBAAmBY,EAAG,IAAIE,EAAGP,EAAG,EAAE,YAAY,EAAE,EAAEP,EAAG,UAAUc,EAAG,IAAIiB,EAAG/B,EAAG,UAAU+B,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,GAAG,EAAEA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,GAAGf,GAAI,KAAK,MAAM,GAAG,KAAK,KAAKA,GAAI,KAAK,MAAM,EAAE,EAAEe,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAGA,EAAEA,GAAG,GAAGA,EAAE,GAAG,GAAGA,EAAE,MAAM,WAAW,OAAO,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,GAAG,KAAK,WAAW,EAAE,GAAG,KAAK,GAAGY,CAAE,EAAE,CAAC,IAAItB,EAAEgB,EAAGN,CAAC,EAAER,EAAE,KAAK,IAAIF,CAAC,EAAEG,EAAED,EAAE,IAAIF,CAAC,EAAE,IAAI,IAAI,EAAE,OAAOE,EAAE,SAASQ,CAAC,EAAEP,EAAE,MAAM,EAAE,SAASO,CAAC,CAAC,KAAM,OAAM,IAAI,KAAK,IAAI,EAAE,SAASA,CAAC,EAAE,QAAQiB,EAAEX,EAAGS,EAAGf,EAAE,CAAC,EAAE,KAAK,QAAQ,EAAEkB,EAAE,KAAKC,EAAE,KAAK,CAAC,IAAIC,EAAEF,EAAE,IAAID,CAAC,EAAEI,EAAEH,EAAE,IAAIE,EAAE,IAAIH,CAAC,CAAC,EAAE,MAAM,IAAI,EAAEa,GAAET,EAAE,SAASrB,CAAC,EAAE,GAAGkB,EAAEE,EAAEF,EAAE,OAAO,EAAE,OAAOY,GAAEX,EAAE,KAAKW,GAAE,OAAO,GAAGA,GAAE,IAAIA,GAAEX,EAAE,GAAGW,GAAEX,CAAC,CAAC,EAAEU,EAAG,YAAY,UAAU,CAAC,OAAO,KAAK,IAAI,EAAEA,EAAG,oBAAoB,UAAU,CAAC,OAAO,KAAK,OAAO,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,GAAG,EAAEA,EAAG,mBAAmB,UAAU,CAAC,OAAO,KAAK,MAAM,CAAC,EAAEA,EAAG,cAAc,UAAU,CAAC,GAAG,KAAK,WAAW,EAAE,OAAO,KAAK,GAAGjB,CAAE,EAAE,GAAG,KAAK,IAAI,EAAE,cAAc,EAAE,QAAQZ,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,IAAIV,EAAE,GAAGA,EAAE,GAAG,EAAEU,EAAE,GAAGV,GAAGA,IAAI,CAAC,OAAO,KAAK,MAAM,EAAEA,EAAE,GAAGA,EAAE,CAAC,EAAEuC,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,OAAO,GAAG,KAAK,MAAM,CAAC,EAAEA,EAAG,IAAIA,EAAG,OAAOA,EAAG,WAAW,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,KAAK,CAAC,EAAEA,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,UAAU,KAAK,MAAM,CAAC,EAAEA,EAAG,MAAM,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,UAAU,CAAC,OAAO,KAAK,IAAI,KAAK,CAAC,EAAEA,EAAG,OAAO,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,WAAWA,EAAE,UAAU,KAAK,OAAO,KAAK,GAAGA,EAAE,OAAO,KAAK,EAAE,GAAG,KAAK,OAAOA,EAAE,MAAM,KAAK,MAAMA,EAAE,GAAG,EAAE6B,EAAG,GAAGA,EAAG,OAAOA,EAAG,UAAU,SAAS7B,EAAE,CAAC,MAAM,CAAC,KAAK,GAAGA,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,GAAGA,EAAG,UAAUA,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,SAASA,EAAG,gBAAgB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,gBAAgBA,EAAG,GAAGA,EAAG,gBAAgBA,EAAG,YAAY,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,EAAE,CAAC,EAAE6B,EAAG,GAAGA,EAAG,YAAYA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,OAAO,KAAK,KAAKA,CAAC,GAAG,CAAC,EAAE6B,EAAG,IAAIA,EAAG,mBAAmBA,EAAG,GAAGA,EAAG,mBAAmBA,EAAG,QAAQ,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,GAAGA,CAAC,EAAE,MAAO,GAAE,IAAIV,EAAE,KAAK,WAAW,EAAEE,EAAEQ,EAAE,WAAW,EAAE,OAAOV,GAAG,CAACE,EAAE,GAAG,CAACF,GAAGE,EAAE,EAAE,KAAK,SAASQ,EAAE,OAAO,EAAE,KAAK,OAAO,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,GAAG,EAAE,KAAK,IAAIA,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,EAAE6B,EAAG,KAAKA,EAAG,QAAQA,EAAG,OAAO,UAAU,CAAC,MAAM,CAAC,KAAK,UAAU,KAAK,GAAGjB,CAAE,EAAEA,EAAG,KAAK,IAAI,EAAE,IAAIc,CAAE,CAAC,EAAEG,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,SAAS7B,EAAE,CAACC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,IAAIV,EAAE,KAAK,OAAO,GAAGE,EAAE,KAAK,KAAK,MAAMC,EAAE,KAAK,MAAM,GAAGwB,EAAE,KAAK,IAAI,MAAMC,EAAElB,EAAE,OAAO,GAAGmB,EAAEnB,EAAE,KAAK,MAAMoB,EAAEpB,EAAE,MAAM,GAAGqB,EAAErB,EAAE,IAAI,MAAM8B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEI,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAE2B,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGxC,EAAE4B,EAAEY,IAAG,MAAMzB,EAAG2B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEF,EAAG,SAAS,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAG,KAAK,IAAIA,EAAE,IAAI,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,SAASA,EAAG,SAAS,SAAS7B,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,OAAOQ,EAAG,GAAGP,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIT,EAAES,EAAG,IAAI,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAGC,EAAE,OAAO,EAAE,OAAOQ,EAAG,GAAG,KAAK,GAAGI,CAAE,EAAE,OAAOZ,EAAE,MAAM,EAAEY,EAAGJ,EAAG,GAAGR,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,MAAM,EAAEA,EAAGJ,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,GAAGyB,CAAE,GAAGzB,EAAE,GAAGyB,CAAE,EAAE,OAAOnB,EAAG,KAAK,SAAS,EAAEN,EAAE,SAAS,EAAE,KAAK,QAAQ,EAAE,IAAIR,EAAE,KAAK,OAAO,GAAGC,EAAE,KAAK,KAAK,MAAMwB,EAAE,KAAK,MAAM,GAAGC,EAAE,KAAK,IAAI,MAAMC,EAAEnB,EAAE,OAAO,GAAGoB,EAAEpB,EAAE,KAAK,MAAMqB,EAAErB,EAAE,MAAM,GAAG8B,GAAE9B,EAAE,IAAI,MAAM+B,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAEC,GAAE,EAAE,OAAOA,IAAGhB,EAAEY,GAAEG,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGhB,EAAEa,GAAEE,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEG,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEqC,GAAEC,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGf,EAAEI,EAAEU,IAAGC,KAAI,GAAGA,IAAG,MAAMA,IAAGd,EAAEE,EAAEW,IAAGC,KAAI,GAAGA,IAAG,MAAMD,IAAGvC,EAAEsC,GAAErC,EAAE4B,EAAEJ,EAAEG,EAAEF,EAAEC,EAAEY,IAAG,MAAM1B,EAAG4B,IAAG,GAAGC,GAAEH,IAAG,GAAGC,GAAE,KAAK,QAAQ,CAAC,EAAEH,EAAG,IAAIA,EAAG,SAASA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,MAAM,kBAAkB,EAAE,GAAGD,EAAG,CAAC,GAAG,CAAC,KAAK,UAAU,KAAK,OAAO,aAAaC,EAAE,MAAM,IAAIA,EAAE,OAAO,GAAG,OAAO,KAAK,IAAIV,GAAG,KAAK,SAASS,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,GAAG,KAAK,OAAO,EAAE,OAAO,KAAK,SAASQ,EAAGC,EAAG,IAAIhB,EAAEC,EAAEwB,EAAE,GAAG,KAAK,SAAS,CAAC,GAAGjB,EAAE,WAAWA,EAAEA,EAAE,WAAW,GAAGA,EAAE,GAAG,IAAI,EAAE,OAAOO,EAAG,GAAGP,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC,EAAE,OAAO2B,EAAGV,EAAEV,CAAE,KAAK,CAAC,GAAG,KAAK,GAAGK,CAAE,EAAE,CAAC,GAAGZ,EAAE,GAAG0B,CAAE,GAAG1B,EAAE,GAAG4B,CAAE,EAAE,OAAOhB,EAAG,GAAGZ,EAAE,GAAGY,CAAE,EAAE,OAAOc,EAAG,IAAIR,EAAE,KAAK,IAAI,CAAC,EAAE,OAAO1B,EAAE0B,EAAE,IAAIlB,CAAC,EAAE,IAAI,CAAC,EAAER,EAAE,GAAGgB,CAAE,EAAER,EAAE,WAAW,EAAE0B,EAAGE,GAAInC,EAAE,KAAK,IAAIO,EAAE,IAAIR,CAAC,CAAC,EAAEyB,EAAEzB,EAAE,IAAIC,EAAE,IAAIO,CAAC,CAAC,EAAEiB,EAAE,SAASjB,EAAE,GAAGY,CAAE,EAAE,OAAO,KAAK,SAASL,EAAGC,EAAG,GAAG,KAAK,WAAW,EAAE,OAAOR,EAAE,WAAW,EAAE,KAAK,IAAI,EAAE,IAAIA,EAAE,IAAI,CAAC,EAAE,KAAK,IAAI,EAAE,IAAIA,CAAC,EAAE,IAAI,EAAE,GAAGA,EAAE,WAAW,EAAE,OAAO,KAAK,IAAIA,EAAE,IAAI,CAAC,EAAE,IAAI,EAAEiB,EAAET,CAAE,CAAC,IAAIf,EAAE,KAAKA,EAAE,IAAIO,CAAC,GAAG,CAACR,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMC,EAAE,SAAS,EAAEO,EAAE,SAAS,CAAC,CAAC,EAAE,QAAQmB,EAAE,KAAK,KAAK,KAAK,IAAI3B,CAAC,EAAE,KAAK,GAAG,EAAE4B,EAAED,GAAG,GAAG,EAAEJ,EAAG,EAAEI,EAAE,EAAE,EAAEE,EAAEf,EAAGd,CAAC,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAE8B,GAAE,WAAW,GAAGA,GAAE,GAAGrC,CAAC,GAAGD,GAAG4B,EAAEC,EAAEf,EAAGd,EAAE,KAAK,QAAQ,EAAEsC,GAAET,EAAE,IAAIrB,CAAC,EAAEqB,EAAE,OAAO,IAAIA,EAAEK,GAAIT,EAAEA,EAAE,IAAII,CAAC,EAAE5B,EAAEA,EAAE,IAAIqC,EAAC,CAAC,CAAC,OAAOb,CAAC,EAAEY,EAAG,IAAIA,EAAG,OAAOA,EAAG,OAAO,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGD,EAAG,CAAC,IAAIT,GAAG,KAAK,SAASS,EAAG,MAAMA,EAAG,OAAO,KAAK,IAAI,KAAK,KAAKC,EAAE,IAAIA,EAAE,IAAI,EAAE,OAAOK,EAAGf,EAAES,EAAG,SAAS,EAAE,KAAK,QAAQ,CAAC,CAAC,OAAO,KAAK,IAAI,KAAK,IAAIC,CAAC,EAAE,IAAIA,CAAC,CAAC,CAAC,EAAE6B,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAIA,EAAG,OAAOA,EAAG,IAAI,UAAU,CAAC,OAAOxB,EAAG,CAAC,KAAK,IAAI,CAAC,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAEwB,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,GAAG,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAI,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEsB,EAAGtB,CAAC,GAAGK,EAAG,KAAK,IAAIL,EAAE,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQ,CAAC,EAAE6B,EAAG,UAAU,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,KAAKL,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,QAAQ,EAAEK,EAAG,EAAE,KAAK,KAAKL,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,UAAUA,EAAG,WAAW,SAAS7B,EAAE,CAAC,OAAOC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,IAAIA,GAAG,MAAM,EAAE,KAAKA,EAAE,GAAGK,EAAG,KAAK,MAAML,EAAE,KAAK,MAAM,GAAGA,EAAE,KAAK,MAAMA,EAAE,KAAK,QAAQ,EAAEK,EAAG,KAAK,MAAML,EAAE,GAAG,KAAK,MAAM,EAAE,EAAE,GAAG,KAAK,QAAQ,CAAC,EAAE6B,EAAG,IAAIA,EAAG,WAAWA,EAAG,mBAAmB,SAAS7B,EAAE,CAAC,GAAGC,EAAGD,CAAC,IAAIA,EAAEA,EAAE,MAAM,GAAGA,GAAG,GAAGA,IAAI,EAAE,OAAO,KAAK,IAAIV,EAAE,KAAK,KAAK,GAAGU,EAAE,GAAG,CAAC,IAAIR,EAAE,KAAK,IAAI,OAAOa,EAAGb,IAAIQ,EAAEV,GAAG,GAAGU,EAAEV,IAAIU,EAAE,KAAK,QAAQ,CAAC,KAAM,QAAOA,IAAI,GAAGK,EAAGf,EAAE,EAAE,KAAK,QAAQ,EAAEe,EAAGf,IAAIU,EAAE,GAAG,EAAE,KAAK,QAAQ,CAAC,EAAE6B,EAAG,KAAKA,EAAG,mBAAmBA,EAAG,MAAMA,EAAG,mBAAmBA,EAAG,SAAS,UAAU,CAAC,OAAO,KAAK,SAASxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,EAAE,IAAI,EAAEwB,EAAG,WAAW,UAAU,CAAC,OAAO,KAAK,SAAS,KAAKxB,EAAG,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,EAAEwB,EAAG,QAAQ,SAAS7B,EAAE,CAAC,OAAOA,EAAE,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKV,EAAE,KAAK,IAAI,MAAM,CAACA,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,GAAGU,EAAE,IAAIA,IAAI,EAAE,IAAIA,IAAI,GAAG,IAAIA,IAAI,EAAE,CAAC,EAAE6B,EAAG,UAAU,UAAU,CAAC,IAAI7B,EAAE,KAAK,KAAKV,EAAE,KAAK,IAAI,MAAM,CAACU,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,IAAIV,IAAI,GAAGA,IAAI,GAAG,IAAIA,IAAI,EAAE,IAAIA,EAAE,GAAG,CAAC,EAAEQ,EAAG,UAAU,SAASE,EAAEV,EAAEE,EAAE,CAAC,OAAOA,EAAEM,EAAG,YAAYE,EAAEV,CAAC,EAAEQ,EAAG,YAAYE,EAAEV,CAAC,CAAC,EAAEQ,EAAG,YAAY,SAASE,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGE,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAG,EAAEA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAG,EAAEA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,GAAGV,CAAC,CAAC,EAAEQ,EAAG,YAAY,SAASE,EAAEV,EAAE,CAAC,OAAO,IAAIQ,EAAGE,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,EAAEA,EAAE,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,EAAM6C,GAAGhD,GAAG,IAAI,CAAC,CAAC,EAAMiD,GAAGjD,GAAG,IAAI,CAAC,CAAC,EAAMkD,GAAGlD,GAAG,CAACmD,EAAGC,IAAK,EAAE,SAASnD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE2B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAEH,EAAE,EAAEE,EAAE,KAAK,UAAU,CAAC,IAAI,EAAE,QAAQA,EAAE,GAAGA,EAAE,EAAE,sBAAsB,OAAOA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAGA,EAAE,GAAG,GAAGA,EAAE,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,GAAGC,EAAE,GAAG,EAAED,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGA,EAAE,IAAIC,EAAEF,CAAC,EAAEC,EAAE,GAAG,IAAIA,EAAE,IAAI,GAAGC,EAAE,IAAI,CAAC,SAAS5B,EAAE0B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,EAAE,GAAGD,EAAE,GAAGC,CAAC,CAAC,SAASH,EAAEE,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI7B,EAAE2B,CAAC,EAAE,EAAEC,GAAGA,EAAE,MAAMW,EAAEV,EAAE,KAAK,OAAOU,EAAE,MAAM,UAAU,CAAC,OAAOV,EAAE,KAAK,EAAE,WAAW,CAAC,EAAEU,EAAE,OAAO,UAAU,CAAC,OAAOA,EAAE,GAAGA,EAAE,EAAE,QAAQ,GAAG,qBAAqB,EAAEA,EAAE,MAAMA,EAAE,IAAI,OAAO,GAAG,UAAUtC,EAAE,EAAE4B,CAAC,EAAEU,EAAE,MAAM,UAAU,CAAC,OAAOtC,EAAE4B,EAAE,CAAC,CAAC,CAAC,GAAGU,CAAC,CAAC,SAASb,GAAG,CAAC,IAAIC,EAAE,WAAWC,EAAE,SAASC,EAAE,CAACA,EAAE,OAAOA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAACF,GAAGE,EAAE,WAAW,CAAC,EAAE,IAAIU,EAAE,mBAAmBZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEY,GAAGZ,EAAEA,EAAEY,IAAI,EAAEA,GAAGZ,EAAEA,GAAGY,EAAE,UAAU,CAAC,OAAOZ,IAAI,GAAG,qBAAqB,EAAE,OAAOC,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,KAAKA,CAAC,GAAGqB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGrD,GAAG,CAACsD,EAAGC,IAAK,EAAE,SAAStD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGwB,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGxD,GAAG,CAACyD,EAAGC,IAAK,EAAE,SAASzD,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEA,EAAE,IAAI,EAAE,OAAOA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGA,EAAE,EAAEA,EAAE,EAAE,OAAO,IAAIA,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAG,GAAG,EAAE,GAAG,IAAI,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAED,KAAKA,EAAE,GAAGC,EAAE,EAAED,EAAEE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEA,GAAGD,EAAE,SAASD,EAAE,EAAEA,EAAE,GAAG,GAAGA,EAAE,IAAI,GAAGA,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAG2B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG3D,GAAG,CAAC4D,EAAGC,IAAK,EAAE,SAAS5D,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAE,EAAE,EAAE,OAAOA,EAAEV,EAAE,CAAC,EAAEU,GAAGA,IAAI,EAAE,EAAEA,EAAEA,GAAG,GAAGA,EAAEV,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGU,EAAEA,IAAI,GAAGA,EAAEV,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGU,EAAEA,IAAI,EAAEA,EAAEV,EAAE,EAAE,EAAE,CAAC,EAAE,GAAGU,EAAEA,GAAG,EAAEA,EAAEV,EAAE,EAAE,EAAE,CAAC,EAAEU,EAAEA,EAAEA,GAAG,GAAG,GAAGA,EAAEA,GAAG,EAAEV,EAAE,CAAC,EAAE,EAAEF,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,SAASC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,KAAK,EAAE,GAAG,EAAE,EAAE,CAAC,EAAE,MAAO,KAAI,EAAE,GAAG,EAAEA,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,GAAG,GAAG,EAAE,WAAWA,CAAC,EAAE,EAAEA,EAAE,EAAE,CAAC,GAAG,GAAG,KAAK,EAAE,OAAO,GAAG,EAAE,KAAK,CAAC,EAAE,IAAIA,EAAE,EAAEA,EAAE,GAAG,EAAEA,CAAC,IAAI,EAAE,EAAEA,EAAE,CAAC,IAAIA,GAAG,EAAE,EAAE,EAAE,CAAC,EAAE,GAAG,EAAE,EAAEA,CAAC,EAAEV,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEU,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEV,EAAE,KAAK,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,UAAUA,CAAC,GAAG8B,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAG9D,GAAG,CAAC+D,EAAGC,IAAK,EAAE,SAAS/D,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKA,EAAE,KAAK,UAAU,CAAC,IAAIE,EAAEF,EAAE,EAAE,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAE,OAAOA,EAAE,EAAEE,EAAEA,EAAE,WAAW,EAAE,EAAE,EAAEU,EAAE,GAAG,GAAG,EAAE,EAAE,EAAEA,EAAEA,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,EAAE,EAAEA,CAAC,EAAE,EAAE,EAAEZ,EAAE,EAAEY,EAAE,GAAGV,EAAEA,IAAI,IAAI,CAAC,EAAE,SAASD,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,EAAE,EAAEG,EAAEkB,EAAEC,EAAE,CAAC,EAAE,EAAE,IAAI,IAAI,KAAK,EAAE,IAAI,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,MAAM,GAAG,EAAE,EAAEnB,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,IAAI,GAAG,EAAE,YAAYA,EAAE,IAAI,EAAE,MAAM,GAAGA,IAAI,IAAIkB,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,EAAE,GAAG,IAAI,GAAGlB,GAAG,IAAIkB,EAAEA,EAAE,WAAW,EAAErB,EAAEsB,EAAEnB,EAAE,GAAG,GAAG,EAAEkB,EAAE,EAAErB,GAAG,EAAE,EAAE,EAAE,GAAG,IAAI,GAAG,MAAMsB,GAAG,GAAG,EAAE,QAAQ,GAAG,GAAG,EAAE,IAAI,EAAE,IAAInB,EAAE,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAE,EAAEmB,EAAE,EAAE,GAAG,GAAG,EAAEtB,EAAEsB,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,GAAGtB,GAAGA,GAAG,GAAG,GAAG,IAAI,GAAGA,GAAGA,IAAI,GAAGsB,EAAE,CAAC,EAAE,EAAEtB,EAAEV,EAAE,EAAE+B,EAAE/B,EAAE,EAAEgC,EAAEhC,EAAE,EAAE,CAAC,CAACD,EAAED,EAAED,CAAC,CAAC,CAAC,SAASzB,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAE,CAAC,IAAI,MAAM,IAAIE,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAIA,EAAE,GAAG5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,QAAQA,CAAC,GAAGiC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMG,GAAGnE,GAAG,CAACoE,EAAGC,IAAK,EAAE,SAASpE,EAAEY,EAAEV,EAAE,CAAC,SAASE,EAAE0B,EAAE,CAAC,IAAIC,EAAE,KAAKC,EAAE,GAAGD,EAAE,KAAK,UAAU,CAAC,IAAI,EAAEA,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,GAAG,GAAG,IAAI,EAAEY,EAAEA,EAAEA,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,EAAE,EAAE,GAAG,GAAG,IAAI,GAAGY,EAAEZ,EAAE,EAAEY,EAAEA,EAAE,EAAE,EAAEZ,EAAE,EAAE,GAAG,GAAGY,IAAI,GAAG,EAAEZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,EAAE,YAAYA,EAAE,EAAE,WAAWD,IAAI,KAAK,MAAMA,CAAC,GAAGC,EAAE,EAAED,EAAE,WAAW,EAAEC,EAAE,EAAED,EAAE,GAAGE,GAAGF,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAO,GAAGC,IAAIF,EAAE,GAAGC,EAAE,WAAWC,CAAC,EAAE,EAAEF,EAAE,KAAK,CAAC,CAAC,SAAS1B,EAAEyB,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,CAAC,CAAC,SAASF,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI5B,EAAE0B,CAAC,EAAEG,EAAEF,GAAGA,EAAE,MAAM,EAAE,UAAU,CAAC,OAAOC,EAAE,KAAK,IAAI,GAAG,UAAU,EAAE,OAAO,EAAE,OAAO,UAAU,CAAC,EAAG,KAAIW,EAAEX,EAAE,KAAK,IAAI,GAAG,GAAGA,EAAE,KAAK,IAAI,GAAG,WAAW,GAAGW,EAAE,IAAI,GAAG,UAAU,IAAI,GAAG,OAAO,CAAC,EAAE,EAAE,MAAMX,EAAE,KAAK,EAAE,MAAM,EAAEC,IAAI,OAAOA,GAAG,UAAU5B,EAAE4B,EAAED,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAO3B,EAAE2B,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,CAACpB,GAAGA,EAAE,QAAQA,EAAE,QAAQiB,EAAE3B,GAAGA,EAAE,IAAIA,EAAE,UAAU,CAAC,OAAO2B,CAAC,CAAC,EAAE,KAAK,OAAOA,CAAC,GAAGsC,EAAG,OAAOC,GAAI,UAAUA,EAAG,OAAO,QAAQ,YAAY,MAAM,CAAC,CAAC,EAAMC,GAAGtE,GAAG,IAAI,CAAC,CAAC,EAAMuE,GAAGvE,GAAG,CAACwE,EAAGC,IAAK,EAAE,SAASxE,EAAEY,EAAEV,EAAE,CAAC,IAAIE,EAAE,IAAIC,EAAE,EAAEwB,EAAE,GAAGC,EAAE,SAASC,EAAE7B,EAAE,IAAIE,EAAEC,CAAC,EAAE2B,EAAE9B,EAAE,IAAI,EAAE2B,CAAC,EAAEI,EAAED,EAAE,EAAE,EAAE5B,EAAE,EAAEuC,EAAE,SAAS,EAAE8B,EAAEC,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEF,EAAEA,GAAG,GAAG,CAAC,QAAQ,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAIG,EAAEZ,EAAED,EAAEU,EAAE,QAAQ,CAACD,EAAEK,EAAElE,CAAC,CAAC,EAAE6D,GAAG,KAAK,EAAE,EAAEA,EAAE,CAAC,EAAEG,CAAC,EAAEG,EAAE,IAAI,EAAEH,CAAC,EAAE,EAAE,UAAU,CAAC,QAAQI,EAAED,EAAE,EAAE1E,CAAC,EAAE4E,EAAElD,EAAEmD,EAAE,EAAEF,EAAEhD,GAAGgD,GAAGA,EAAEE,GAAG9E,EAAE6E,GAAG7E,EAAE8E,EAAEH,EAAE,EAAE,CAAC,EAAE,KAAKC,GAAG/C,GAAG+C,GAAG,EAAEC,GAAG,EAAEC,KAAK,EAAE,OAAOF,EAAEE,GAAGD,CAAC,EAAE,OAAO,EAAE,MAAM,UAAU,CAAC,OAAOF,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,MAAM,UAAU,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,OAAO,EAAEd,EAAEa,EAAEC,EAAE,CAAC,EAAEnE,CAAC,GAAG8D,EAAE,MAAMC,GAAG,SAASK,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOA,IAAIA,EAAE,GAAGrC,EAAEqC,EAAEJ,CAAC,EAAEC,EAAE,MAAM,UAAU,CAAC,OAAOlC,EAAEiC,EAAE,CAAC,CAAC,CAAC,GAAGG,GAAGhF,EAAE4B,CAAC,EAAEkD,EAAEC,GAAGD,CAAC,GAAG,EAAEH,EAAE,WAAWH,EAAEA,EAAE,OAAO,MAAMxE,EAAEwE,EAAE,KAAK,CAAC,CAAC,SAAS,EAAED,EAAE,CAAC,IAAIC,EAAEC,EAAEF,EAAE,OAAOG,EAAE,KAAKC,EAAE,EAAEE,EAAEH,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,IAAID,IAAIF,EAAE,CAACE,GAAG,GAAGE,EAAEzE,GAAG,EAAEyE,CAAC,EAAEA,IAAI,IAAIA,EAAE,EAAEA,EAAEzE,EAAEyE,IAAI,EAAEA,CAAC,EAAE,EAAEE,EAAE,EAAEA,EAAEN,EAAEI,EAAEF,CAAC,GAAGD,EAAE,EAAEG,CAAC,EAAE,EAAE,EAAEE,CAAC,EAAEL,GAAGE,EAAE,EAAE,SAASI,EAAE,CAAC,QAAQC,EAAEC,EAAE,EAAEC,EAAEP,EAAE,EAAEQ,EAAER,EAAE,EAAES,EAAET,EAAE,EAAEI,KAAKC,EAAEI,EAAEF,EAAE,EAAEA,EAAE,CAAC,EAAED,EAAEA,EAAE9E,EAAEiF,EAAE,GAAGA,EAAEF,CAAC,EAAEE,EAAED,EAAE,EAAEA,EAAEH,CAAC,IAAII,EAAED,CAAC,EAAEH,EAAE,EAAE,OAAOL,EAAE,EAAEO,EAAEP,EAAE,EAAEQ,EAAEF,CAAC,GAAG9E,CAAC,CAAC,CAAC,SAAS0C,EAAE2B,EAAEC,EAAE,CAAC,OAAOA,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAEC,EAAE,EAAED,EAAE,EAAE,MAAM,EAAEC,CAAC,CAAC,SAASV,EAAES,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,OAAOH,EAAEI,EAAE,GAAGH,GAAGE,GAAG,SAAS,IAAIC,KAAKJ,EAAE,GAAG,CAACE,EAAE,KAAKX,EAAES,EAAEI,CAAC,EAAEH,EAAE,CAAC,CAAC,CAAC,OAAOK,EAAN,CAAS,CAAC,OAAOJ,EAAE,OAAOA,EAAEC,GAAG,SAASH,EAAEA,EAAE,IAAI,CAAC,SAASR,EAAEQ,EAAEC,EAAE,CAAC,QAAQC,EAAEF,EAAE,GAAGG,EAAEC,EAAE,EAAEA,EAAEF,EAAE,QAAQD,EAAE,EAAEG,CAAC,EAAE,GAAGD,GAAGF,EAAE,EAAEG,CAAC,EAAE,IAAIF,EAAE,WAAWE,GAAG,EAAE,OAAOC,EAAEJ,CAAC,CAAC,CAAC,SAAS,GAAG,CAAC,GAAG,CAAC,IAAID,EAAE,OAAO9B,IAAI8B,EAAE9B,EAAE,aAAa8B,EAAEA,EAAErE,CAAC,GAAGqE,EAAE,IAAI,WAAWrE,CAAC,GAAGJ,EAAE,QAAQA,EAAE,UAAU,gBAAgByE,CAAC,GAAGK,EAAEL,CAAC,CAAC,OAAOG,EAAN,CAAS,IAAIF,EAAE1E,EAAE,UAAU2E,EAAED,GAAGA,EAAE,QAAQ,MAAM,CAAC,CAAC,IAAI,KAAK1E,EAAE2E,EAAE3E,EAAE,OAAO8E,EAAElE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASkE,EAAEL,EAAE,CAAC,OAAO,OAAO,aAAa,MAAM,EAAEA,CAAC,CAAC,CAAC,GAAGR,EAAE/D,EAAE,OAAO,EAAEU,CAAC,EAAE,OAAO4D,GAAI,UAAUA,EAAG,QAAQ,CAACA,EAAG,QAAQ,EAAE,GAAG,CAAC7B,EAAE0B,GAAG,CAAC,OAAOI,EAAN,CAAS,CAAC,MAAM,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,UAAU,CAAC,OAAO,CAAC,CAAC,EAAEvE,EAAE,OAAO4B,CAAC,EAAE,CAAC,GAAG,OAAO,MAAM,YAAY,KAAKyC,EAAG,CAAC,EAAE,IAAI,CAAC,CAAC,EAAMe,GAAGvF,GAAG,CAACwF,EAAIC,IAAK,CAAC,IAAIC,EAAGxC,GAAG,EAAEyC,EAAGtC,GAAG,EAAEuC,EAAGpC,GAAG,EAAEqC,EAAGlC,GAAG,EAAEmC,EAAGhC,GAAG,EAAEiC,EAAG5B,GAAG,EAAE6B,EAAGzB,GAAG,EAAEyB,EAAG,KAAKN,EAAGM,EAAG,OAAOL,EAAGK,EAAG,OAAOJ,EAAGI,EAAG,UAAUH,EAAGG,EAAG,QAAQF,EAAGE,EAAG,OAAOD,EAAGN,EAAG,QAAQO,CAAE,CAAC,EAAMC,GAAGjG,GAAG,IAAI,CAAC,CAAC,EAAMkG,GAAGlG,GAAG,IAAI,CAAC,CAAC,EAAMmG,GAAGnG,GAAG,IAAI,CAAC,CAAC,EAAMoG,GAAGpG,GAAG,IAAI,CAAC,CAAC,EAAMqG,GAAGrG,GAAG,IAAI,CAAC,CAAC,EAAMsG,GAAGtG,GAAG,IAAI,CAAC,CAAC,EAAMuG,GAAGvG,GAAG,CAACwG,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAIzG,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASY,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,SAASV,GAAG,CAAC,OAAOwG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEG,EAAE,CAAC,SAASzG,GAAG,CAAC,OAAOsG,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEI,EAAE,CAAC,SAAS,GAAG,CAAC,OAAOJ,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEK,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO6E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEM,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO4E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEO,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO2E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAEQ,EAAE,CAAC,SAASlF,GAAG,CAAC,OAAO0E,GAAG,QAAQC,IAAIC,GAAGF,GAAG,MAAM,EAAES,EAAE,CAAC,IAAIlF,EAAE,OAAOrB,GAAG,YAAYA,EAAE,CAAC,EAAE8B,EAAEC,EAAEV,EAAE,MAAM,IAAI,QAAQ,SAASmF,EAAEC,EAAE,CAAC3E,EAAE0E,EAAEzE,EAAE0E,CAAC,CAAC,EAAE,IAAIzE,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAEZ,CAAC,EAAEa,EAAE,CAAC,EAAEkB,EAAE,iBAAiBC,EAAE,CAACmD,EAAEC,IAAI,CAAC,MAAMA,CAAC,EAAEC,EAAE,OAAO,QAAQ,SAASxC,EAAE,OAAO,eAAe,WAAWL,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAAS,EAAExC,EAAE,wBAAwB,GAAG0C,EAAE,GAAG,SAASC,EAAEwC,EAAE,CAAC,OAAOnF,EAAE,WAAWA,EAAE,WAAWmF,EAAEzC,CAAC,EAAEA,EAAEyC,CAAC,CAAC,IAAIvC,EAAEE,EAAEwC,EAAEvC,EAAE,SAASC,EAAEmC,EAAE,CAAIA,aAAaI,IAAUC,EAAE,6BAA6BL,CAAC,CAAC,CAAC,GAAG3C,EAAE,CAAC,IAAIS,EAAEe,GAAG,EAAEd,EAAEe,GAAG,EAAEpB,EAAEH,EAAEQ,EAAE,QAAQR,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAIE,EAAE,CAACwC,EAAEK,MAAML,EAAEM,GAAGN,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,aAAamC,EAAEK,GAAG,OAAO,MAAM,GAAGH,EAAEF,GAAG,CAAC,IAAIK,GAAG7C,EAAEwC,EAAE,EAAE,EAAE,OAAOK,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAE3C,EAAE,CAACsC,EAAEK,GAAGE,KAAK,CAACP,EAAEM,GAAGN,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAElC,EAAE,UAAUkC,CAAC,EAAEnC,EAAE,SAASmC,EAAE,SAASQ,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEH,GAAGI,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAI9D,EAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,MAAM,GAAG,GAAGlB,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASuE,EAAE,CAAC,GAAG,EAAEA,aAAaG,IAAI,MAAMH,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEpD,EAAE,CAACoD,EAAEK,KAAK,CAAC,GAAGK,GAAG,EAAE,MAAM,QAAQ,SAASV,EAAEK,GAAGzC,EAAEyC,EAAE,EAAE,QAAQ,KAAKL,CAAC,CAAC,EAAEpF,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,EAAE,IAAImF,EAAE,GAAG,CAACA,EAAEjB,GAAG,CAAC,OAAOkB,EAAN,CAAS,MAAM,QAAQ,MAAM,yGAAyG,EAAEA,CAAC,CAAC,OAAO,OAAOD,EAAE,MAAM,MAAME,GAAGxC,KAAKA,EAAEH,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK,OAAO3E,GAAG,aAAaA,IAAI2E,EAAE3E,GAAG2E,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGF,IAAII,EAAEuC,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,KAAK,IAAI,EAAEA,EAAE,YAAY,EAAEvC,IAAIyC,EAAEH,GAAG,CAAC,IAAIC,EAAE,IAAI,eAAe,OAAOA,EAAE,KAAK,MAAMD,EAAE,EAAE,EAAEC,EAAE,aAAa,cAAcA,EAAE,KAAK,IAAI,EAAE,IAAI,WAAWA,EAAE,QAAQ,CAAC,GAAGtC,EAAE,CAACqC,EAAEC,EAAEK,KAAK,CAAC,IAAIE,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMR,EAAE,EAAE,EAAEQ,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACP,EAAEO,GAAG,QAAQ,EAAE,MAAM,CAACF,GAAG,CAAC,EAAEE,GAAG,QAAQF,GAAGE,GAAG,KAAK,IAAI,CAAC,GAAG5C,EAAEoC,GAAG,SAAS,MAAMA,GAAG3C,GAAG,OAAO,aAAa,cAAc,OAAO,YAAY2B,GAAG,EAAE,aAAa,IAAIhB,EAAE,QAAQ,IAAI,KAAK,OAAO,EAAEC,EAAE,QAAQ,KAAK,KAAK,OAAO,EAAEZ,IAAIW,EAAEgC,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CAC5moB,EAAE/B,EAAE+B,GAAGlC,EAAE,UAAU,EAAEkC,EAAE;AAAA,CACvB,GAAG,IAAIY,EAAE/F,EAAE,OAAOmD,EAAEqC,EAAExF,EAAE,UAAUoD,EAAE,OAAO,OAAOpD,EAAEY,CAAC,EAAEA,EAAE,KAAKZ,EAAE,YAAYa,EAAEb,EAAE,WAAWA,EAAE,cAAc+B,EAAE/B,EAAE,aAAaA,EAAE,OAAOgC,EAAEhC,EAAE,MAAM,IAAIgG,GAAE,EAAEC,GAAG,QAAQ,KAAKC,GAAG,QAAQ,MAAMC,GAAG,QAAQ,gBAAgBC,GAAGpG,EAAE,aAAaoG,GAAGpG,EAAE,YAAY,IAAIqG,GAAGrG,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUsG,GAAG,iCAAiC,EAAE,IAAI7B,GAAG8B,GAAGC,GAAG,GAAGC,GAAG,SAASC,GAAGvB,EAAEC,EAAE,CAACD,GAAGmB,GAAGlB,CAAC,CAAC,CAAC,IAAIuB,GAAG,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAASC,GAAGzB,EAAEC,EAAEK,GAAG,CAAC,QAAQE,GAAGP,EAAEK,GAAGG,GAAGR,EAAED,EAAES,EAAE,GAAG,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGR,EAAE,IAAID,EAAE,QAAQwB,GAAG,OAAOA,GAAG,OAAOxB,EAAE,kBAAkB,kBAAkBA,EAAE,MAAMC,EAAEQ,EAAE,EAAET,EAAE,SAASC,EAAEQ,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGT,EAAEQ,IAAI,CAAC,IAAIiB,GAAG1B,EAAEC,GAAG,EAAE,GAAG,EAAEyB,GAAG,KAAK,CAAChB,IAAI,OAAO,aAAagB,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG3B,EAAEC,GAAG,EAAE,GAAG,IAAIyB,GAAG,MAAM,IAAI,CAAChB,IAAI,OAAO,cAAcgB,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAG5B,EAAEC,GAAG,EAAE,GAAG,IAAIyB,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAE5B,EAAEC,GAAG,EAAE,GAAGyB,GAAG,MAAMhB,IAAI,OAAO,aAAagB,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMhB,IAAI,OAAO,aAAa,MAAMmB,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOnB,EAAE,CAAC,SAASoB,GAAG9B,EAAEC,EAAE,CAAC,OAAOD,EAAEyB,GAAGzI,EAAE,EAAEgH,EAAEC,CAAC,EAAE,EAAE,CAAC,SAAS8B,GAAG/B,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGH,GAAGI,GAAGJ,GAAGE,GAAG,EAAEkB,GAAG,EAAEA,GAAG1B,EAAE,OAAO,EAAE0B,GAAG,CAAC,IAAIC,GAAG3B,EAAE,WAAW0B,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAG5B,EAAE,WAAW,EAAE0B,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGrB,IAAII,GAAG,MAAMT,EAAEK,IAAI,EAAEqB,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,IAAI,EAAE,IAAIqB,IAAI,EAAE1B,EAAEK,IAAI,EAAE,IAAIqB,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,IAAI,EAAE,IAAIqB,IAAI,GAAG1B,EAAEK,IAAI,EAAE,IAAIqB,IAAI,EAAE,GAAG1B,EAAEK,IAAI,EAAE,IAAIqB,GAAG,EAAE,KAAK,CAAC,GAAGrB,GAAG,GAAGI,GAAG,MAAMT,EAAEK,IAAI,EAAE,IAAIqB,IAAI,GAAG1B,EAAEK,IAAI,EAAE,IAAIqB,IAAI,GAAG,GAAG1B,EAAEK,IAAI,EAAE,IAAIqB,IAAI,EAAE,GAAG1B,EAAEK,IAAI,EAAE,IAAIqB,GAAG,EAAE,CAAC,CAAC,OAAO1B,EAAEK,EAAE,EAAE,EAAEA,GAAGG,EAAE,CAAC,SAASuB,GAAGhC,EAAEC,EAAEK,GAAG,CAAC,OAAOyB,GAAG/B,EAAEhH,EAAE,EAAEiH,EAAEK,EAAE,CAAC,CAAC,IAAIf,GAAGE,GAAGC,GAAGC,GAAGsC,GAAGrC,GAAGC,GAAGC,GAAGC,GAAG,IAAIR,GAAG1E,EAAE,QAAQ,SAAS2E,GAAGQ,EAAE,CAACT,GAAGS,EAAEnF,EAAE,MAAM4E,GAAG,IAAI,UAAUO,CAAC,EAAEnF,EAAE,OAAO8E,GAAG,IAAI,WAAWK,CAAC,EAAEnF,EAAE,OAAO+E,GAAG,IAAI,WAAWI,CAAC,EAAEnF,EAAE,OAAO6E,GAAG,IAAI,WAAWM,CAAC,EAAEnF,EAAE,QAAQoH,GAAG,IAAI,YAAYjC,CAAC,EAAEnF,EAAE,QAAQgF,GAAG,IAAI,YAAYG,CAAC,EAAEnF,EAAE,QAAQiF,GAAG,IAAI,aAAaE,CAAC,EAAEnF,EAAE,QAAQkF,GAAG,IAAI,aAAaC,CAAC,CAAC,CAAC,IAAIkC,GAAGrH,EAAE,gBAAgB,SAAS,GAAG,EAAEyE,GAAGzE,EAAE,WAAW0E,GAAG1E,EAAE,eAAeA,EAAE,WAAWyE,GAAGzE,EAAE,mBAAmByE,GAAG,IAAI,YAAY,OAAO,CAAC,QAAQ4C,GAAG,MAAM,QAAQ,MAAM,OAAO,EAAE,CAAC,EAAE,EAAE5C,GAAG,kBAAkB,mBAAmB,MAAMe,EAAE,6NAA6N,EAAEhD,GAAGgD,EAAE,2GAA2G,EAAE,MAAM,YAAY,EAAEf,KAAKC,GAAGD,GAAG,QAAQ4C,GAAG3C,GAAG,WAAWC,GAAGD,EAAE,EAAE,IAAI4C,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEC,GAAG,GAAG,SAAS5B,IAAI,CAAC,OAAOO,EAAE,CAAC,SAASsB,IAAI,CAAC,GAAG3H,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ4H,GAAG5H,EAAE,OAAO,MAAM,CAAC,EAAE6H,GAAGN,EAAE,CAAC,CAAC,SAASO,IAAI,CAACJ,GAAG,GAAG,CAAC,GAAGG,GAAGL,EAAE,CAAC,CAAC,SAASO,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG/H,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQgI,GAAGhI,EAAE,QAAQ,MAAM,CAAC,EAAE6H,GAAGJ,EAAE,CAAC,CAAC,CAAC,SAASG,GAAGzC,EAAE,CAACoC,GAAG,QAAQpC,CAAC,CAAC,CAAC,SAAS8C,GAAG9C,EAAE,CAACqC,GAAG,QAAQrC,CAAC,CAAC,CAAC,SAAS6C,GAAG7C,EAAE,CAACsC,GAAG,QAAQtC,CAAC,CAAC,CAAC,IAAI+C,GAAG,EAAEC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAGlD,EAAE,CAAC+C,KAAKlI,EAAE,wBAAwBA,EAAE,uBAAuBkI,EAAE,CAAC,CAAC,SAASI,GAAGnD,EAAE,CAAC,GAAG+C,KAAKlI,EAAE,wBAAwBA,EAAE,uBAAuBkI,EAAE,EAAEA,IAAI,IAAIC,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAIhD,EAAEgD,GAAGA,GAAG,KAAKhD,EAAE,CAAC,CAAC,CAAC,SAASkB,GAAGnB,EAAE,CAACnF,EAAE,SAASA,EAAE,QAAQmF,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIK,EAAEL,CAAC,EAAEqB,GAAG,GAAGC,GAAG,EAAEtB,GAAG,2CAA2C,IAAIC,EAAE,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAMzE,EAAE0E,CAAC,EAAEA,CAAC,CAAC,IAAImD,GAAG,wCAAwC,SAASC,GAAGrD,EAAE,CAAC,OAAOA,EAAE,WAAWoD,EAAE,CAAC,CAAC,SAAS7C,GAAGP,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIsD,GAAGA,GAAG,uCAAuCD,GAAGC,EAAE,IAAIA,GAAG9F,EAAE8F,EAAE,GAAG,SAASC,GAAGvD,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGsD,IAAIrC,GAAG,OAAO,IAAI,WAAWA,EAAE,EAAE,GAAGd,EAAE,OAAOA,EAAEH,CAAC,EAAE,KAAK,iDAAiD,OAAOC,EAAN,CAASkB,GAAGlB,CAAC,CAAC,CAAC,CAAC,SAASuD,IAAI,CAAC,GAAG,CAACvC,KAAKf,GAAGxC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAAC6C,GAAG+C,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAStD,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCsD,GAAG,IAAI,OAAOtD,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOuD,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG3F,EAAE,OAAO,IAAI,QAAQ,SAASqC,EAAEC,EAAE,CAACtC,EAAE2F,GAAG,SAAShD,GAAG,CAACN,EAAE,IAAI,WAAWM,EAAE,CAAC,CAAC,EAAEL,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOsD,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIzD,EAAE,CAAC,IAAI0D,GAAG,uBAAuBA,EAAE,EAAE,SAASzD,EAAEyB,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQ,GAAG7G,EAAE,IAAI+G,GAAG+B,GAAG9I,EAAE,IAAI,oBAAoB,EAAEsH,GAAGtH,EAAE,IAAI,0BAA0BiI,GAAGjI,EAAE,IAAI,iBAAiB,EAAEuG,GAAGO,GAAG,CAAC,EAAE,CAAC,IAAIE,GAAG+B,GAAG,cAAc,OAAOA,GAAG,cAAc,QAAQ,SAASC,GAAG,CAACD,GAAG,uBAAuBC,GAAG,UAAU,CAAC,EAAEhC,IAAIsB,GAAG,kBAAkB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAGD,GAAG,kBAAkB,EAAE,SAAS5C,GAAGoB,GAAG,CAACzB,EAAEyB,GAAG,SAASA,GAAG,MAAM,CAAC,CAAC,SAASlB,GAAGkB,GAAG,CAAC,OAAO8B,GAAG,EAAE,KAAK,SAAS7B,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAG3B,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS2B,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAACtB,EAAE,0CAA0CsB,EAAE,EAAER,GAAGQ,EAAE,CAAC,CAAC,CAAC,CAAC,SAASlB,IAAI,CAAC,MAAM,CAACQ,IAAI,OAAO,YAAY,sBAAsB,YAAY,CAACoC,GAAGC,EAAE,GAAG,CAAC/C,GAAG+C,EAAE,GAAG,CAACjG,GAAG,OAAO,OAAO,WAAW,MAAMiG,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS5B,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAG1B,CAAC,EAAE,OAAO2B,GAAG,KAAKrB,GAAG,SAASsB,GAAG,CAAC,OAAOvB,EAAE,kCAAkCuB,EAAE,EAAEvB,EAAE,2CAA2C,EAAEG,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEE,GAAGF,EAAE,CAAC,CAAC,GAAGzF,EAAE,gBAAgB,GAAG,CAAC,IAAI6F,GAAG7F,EAAE,gBAAgBmF,EAAEC,CAAC,EAAE,OAAOS,EAAE,OAAOgB,GAAN,CAAUrB,EAAE,sDAAsDqB,EAAE,EAAEnG,EAAEmG,EAAE,CAAC,CAAC,OAAOjB,GAAG,EAAE,MAAMlF,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIuI,GAAGC,GAAGC,GAAG,CAAC,EAAE,SAAS5D,GAAGJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAASiE,GAAGjE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,CAAC,EAAE,OAAO4D,GAAG,SAAS5D,CAAC,EAAEC,EAAE,UAAU,EAAEiE,GAAGlE,CAAC,EAAE4D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ3D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASkE,GAAGnE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,CAAC,EAAEC,EAAE,YAAY,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,SAASmE,GAAGpE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,SAAS5D,CAAC,EAAEuB,GAAGtB,CAAC,EAAE2D,GAAG,mBAAmB3D,CAAC,CAAC,CAAC,SAASoE,GAAGrE,EAAE,CAAC,IAAIC,EAAE2D,GAAG,aAAa,EAAE,GAAG,CAAC3D,EAAE,MAAO,GAAE2D,GAAG,eAAe,KAAK3D,CAAC,EAAE2D,GAAG,SAAS5D,EAAE,WAAW,EAAEC,EAAEA,EAAE,YAAYD,EAAE,YAAY,IAAIM,GAAG,CAAC,IAAI,MAAM,cAAcN,EAAE,aAAa,IAAIA,EAAE,IAAI,YAAYA,EAAE,WAAW,EAAE,OAAOC,EAAE,WAAW,IAAI,CAAC5C,GAAG4C,EAAE,IAAI,EAAEA,EAAE,YAAYK,GAAGN,EAAE,YAAY,EAAE,OAAOC,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,IAAIqE,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAItE,EAAEvF,EAAE,EAAE6J,GAAG,QAAQ,GAAG,CAAC,EAAE,OAAOtE,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,EAAE6B,GAAG9B,CAAC,EAAE,OAAOC,CAAC,CAAC,EAAE,SAASsE,GAAGvE,EAAE,CAAC,GAAG,EAAE,OAAOwE,GAAG,EAAE,EAAExE,CAAC,EAAEsB,GAAGtB,EAAEW,GAAG,IAAIiD,GAAG,oBAAoB,EAAE/I,EAAE,QAAQA,EAAE,OAAOmF,CAAC,EAAEqB,GAAG,IAAIxE,EAAEmD,EAAE,IAAII,GAAGJ,CAAC,CAAC,CAAC,CAAC,SAASyE,GAAGzE,EAAEC,EAAE,CAAC,GAAGqB,GAAGtB,EAAE,CAACC,GAAG,EAAE,MAAMyE,GAAG1E,CAAC,EAAE,SAASuE,GAAGvE,CAAC,CAAC,CAAC,IAAI2E,GAAGF,GAAG,SAASG,GAAG5E,EAAE,CAAC,GAAGA,aAAaI,IAAIJ,GAAG,SAAS,OAAOsB,GAAGzE,EAAE,EAAEmD,CAAC,CAAC,CAAC,IAAI4D,GAAG,CAAC,cAAc,CAAC,EAAE,eAAe,CAAC,EAAE,iBAAiB,CAAC,EAAE,SAAS,CAAC,EAAE,KAAK,UAAU,CAAC,EAAEA,GAAG,WAAW,EAAEA,GAAG,eAAe,CAAC,EAAE,eAAe,UAAU,CAAC,QAAQ5D,EAAE,EAAEA,KAAK4D,GAAG,qBAAqB,CAAC,EAAE,WAAW,UAAU,CAAC1C,GAAG,EAAE,EAAE,cAAc,SAASlB,EAAE,CAACsB,GAAGtB,CAAC,EAAE,oBAAoB,UAAU,CAAC,QAAQA,KAAK,OAAO,OAAO4D,GAAG,QAAQ,EAAEA,GAAG,mBAAmB5D,CAAC,EAAE,QAAQA,KAAK4D,GAAG,cAAc5D,EAAE,UAAU,EAAE4D,GAAG,cAAc,CAAC,CAAC,EAAE,mBAAmB,SAAS5D,EAAE,CAAC,IAAIC,EAAED,EAAE,YAAY,OAAO4D,GAAG,SAAS3D,CAAC,EAAE2D,GAAG,cAAc,KAAK5D,CAAC,EAAE4D,GAAG,eAAe,OAAOA,GAAG,eAAe,QAAQ5D,CAAC,EAAE,CAAC,EAAEA,EAAE,YAAY,EAAE3C,GAAG2C,EAAE,MAAM,EAAEkE,GAAGjE,CAAC,CAAC,EAAE,sBAAsB,SAASD,EAAE,CAAC,EAAE,cAAc,UAAU,CAAC4D,GAAG,iBAAiB,QAAQ5D,GAAGA,EAAE,CAAC,CAAC,EAAE,uBAAuB,SAASA,EAAEC,EAAE,CAACD,EAAE,UAAUU,IAAI,CAAC,IAAIgB,GAAGhB,GAAG,KAAKiB,GAAGD,GAAG,IAAI,GAAG1B,EAAE,cAAc4D,GAAG,oCAAoC5D,EAAE,aAAa0B,GAAG,cAAcA,GAAG,cAAcmD,GAAG,EAAE,CAAC,IAAIjD,GAAGgC,GAAG,SAASlC,GAAG,YAAY,EAAEE,GAAGA,GAAG,YAAYF,GAAGA,GAAG,YAAY,EAAErB,EAAE,0CAA0CsB,GAAG,uBAAuBD,GAAG,aAAa,qCAAqC,EAAEkC,GAAG,oCAAoC,OAAO,MAAM,CAACjC,KAAK,uBAAuBmD,GAAGpD,GAAG,KAAK,EAAEC,KAAK,cAAc0C,GAAG3C,EAAE,EAAEC,KAAK,gBAAgByC,GAAG1C,GAAG,MAAM,EAAEC,KAAK,aAAasC,GAAGvC,GAAG,MAAM,EAAEC,KAAK,eAAewC,GAAGzC,GAAG,MAAM,EAAEC,KAAK,UAAU3B,EAAE,OAAO,GAAG3C,GAAG2C,EAAE,MAAM,EAAEC,GAAGA,EAAED,CAAC,EAAEA,EAAE,YAAYA,EAAE,WAAW,GAAG2B,KAAK,QAAQf,EAAE,UAAUc,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,WAAWtB,EAAE,UAAUqB,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEC,KAAK,QAAQ,MAAM,UAAUD,GAAG,SAAS,KAAKA,GAAG,IAAI,EAAEA,GAAG,SAAS,eAAe1B,EAAE,YAAY0B,EAAE,EAAEC,KAAK,cAAc9G,EAAE6G,GAAG,OAAO,EAAE,GAAGA,GAAG,IAAI,EAAEC,IAAItB,EAAE,kCAAkCsB,EAAE,EAAEiC,GAAG,oCAAoC,MAAM,EAAE5D,EAAE,QAAQU,IAAI,CAAC,IAAIgB,GAAG,wBAAwB,MAAMrB,EAAEqB,GAAG,IAAIhB,GAAG,SAAS,IAAIA,GAAG,OAAO,KAAKA,GAAG,OAAO,EAAEA,EAAE,EAAErD,IAAI2C,EAAE,GAAG,UAAU,SAASU,GAAG,CAACV,EAAE,UAAU,CAAC,KAAKU,EAAE,CAAC,CAAC,CAAC,EAAEV,EAAE,GAAG,QAAQ,SAASU,GAAG,CAACV,EAAE,QAAQU,EAAE,CAAC,CAAC,EAAEV,EAAE,GAAG,eAAe,UAAU,CAAC,CAAC,GAAG,IAAIM,GAAG,CAAC,EAAEE,GAAG,CAAC,SAAS,UAAU,QAAQ,UAAU,EAAE,QAAQC,MAAMD,GAAG3F,EAAE,eAAe4F,EAAE,GAAGH,GAAG,KAAKG,EAAE,EAAET,EAAE,YAAY,CAAC,IAAI,OAAO,SAASM,GAAG,UAAUzF,EAAE,qBAAqBjC,EAAE,WAAW0G,GAAG,WAAW8B,EAAE,CAAC,CAAC,EAAE,qBAAqB,UAAU,CAAC,IAAIpB,EAAEC,EAAEzC,EAAE,2CAA2C,EAAEwC,EAAE,IAAI,OAAOC,CAAC,EAAE2D,GAAG,cAAc,KAAK5D,CAAC,CAAC,EAAE,aAAa,UAAU,CAAC,OAAO4D,GAAG,cAAc,QAAQ,IAAIA,GAAG,qBAAqB,EAAEA,GAAG,uBAAuBA,GAAG,cAAc,CAAC,CAAC,GAAGA,GAAG,cAAc,IAAI,CAAC,CAAC,EAAE/I,EAAE,QAAQ+I,GAAG,SAASlB,GAAG1C,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAEnF,CAAC,CAAC,CAAC,SAASkK,IAAI,CAAC,IAAI/E,EAAE6E,GAAG,EAAE5E,EAAExF,EAAE,EAAEuF,EAAE,IAAI,CAAC,EAAEM,GAAG7F,EAAE,EAAEuF,EAAE,IAAI,CAAC,EAAEQ,GAAGP,EAAEK,GAAG0E,GAAG/E,EAAEO,EAAE,EAAEyE,GAAGhF,CAAC,CAAC,CAACpF,EAAE,oBAAoBkK,GAAG,SAASL,GAAG1E,EAAE,CAAC,GAAG,EAAE,OAAOwE,GAAG,EAAE,EAAExE,CAAC,EAAE,GAAG,CAAC2E,GAAG3E,CAAC,CAAC,OAAOC,EAAN,CAAS2E,GAAG3E,CAAC,CAAC,CAAC,CAAC,IAAIiF,GAAG,CAAC,EAAE,SAASC,GAAGnF,EAAE,CAAC,IAAIC,EAAEiF,GAAGlF,CAAC,EAAE,OAAOC,IAAID,GAAGkF,GAAG,SAASA,GAAG,OAAOlF,EAAE,GAAGkF,GAAGlF,CAAC,EAAEC,EAAEkC,GAAG,IAAInC,CAAC,GAAGC,CAAC,CAAC,SAASmF,GAAGpF,EAAEC,EAAE,CAAC,IAAIK,GAAG6E,GAAGnF,CAAC,EAAEC,CAAC,EAAEU,GAAG,EAAEiD,GAAG,cAActD,EAAE,EAAE+E,GAAG/E,EAAE,CAAC,CAACzF,EAAE,iBAAiBuK,GAAG,SAASzB,GAAG3D,EAAE,CAAC4D,GAAG,iBAAiB,KAAK5D,CAAC,CAAC,CAAC,SAASsF,GAAGtF,EAAE,CAACuF,GAAGvF,EAAE,CAACtC,EAAE,EAAE,CAACwC,CAAC,EAAE0D,GAAG,cAAc,CAAC,CAAC,SAAS4B,GAAGxF,EAAE,CAAC,EAAE,YAAY,CAAC,IAAI,gBAAgB,OAAOA,CAAC,CAAC,EAAEoE,GAAGpE,CAAC,CAAC,CAAC,SAASyF,GAAGzF,EAAEC,EAAEK,GAAGE,GAAG,CAAC,OAAO,EAAEgE,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,EAAE,EAAEkF,GAAG1F,EAAEC,EAAEK,GAAGE,EAAE,CAAC,CAAC,SAASkF,GAAG1F,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,OAAO,mBAAmB,YAAY,OAAOH,EAAE,qFAAqF,EAAE,EAAE,IAAII,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAG,IAAID,GAAG,SAAS,GAAGC,IAAI,OAAO+E,GAAGzF,EAAEC,EAAEK,GAAGE,EAAE,EAAE,GAAGE,GAAG,OAAOA,GAAG,IAAIgB,GAAG,CAAC,aAAapB,GAAG,YAAYN,EAAE,IAAIQ,GAAG,aAAaC,EAAE,EAAE,OAAO,GAAGiB,GAAG,IAAI,cAAc,YAAYA,GAAGjB,EAAE,EAAE,GAAG4D,GAAG3C,EAAE,CAAC,CAAC,SAASiE,IAAI,CAAC,MAAO,MAAK,CAAC,IAAIC,GAAG,GAAG,SAASC,IAAI,CAAC,OAAOD,EAAE,CAAC,SAASd,GAAG9E,EAAE,CAAC,QAAQ,MAAMvF,EAAE,EAAEuF,GAAG,EAAE,CAAC,EAAE6E,GAAG,GAAGiB,GAAG9F,CAAC,EAAE,QAAQ,gBAAgBvF,EAAE,EAAEuF,GAAG,EAAE,EAAE,CAAC,CAAC,CAACnF,EAAE,6BAA6BiK,GAAG,SAASiB,GAAG/F,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAGR,GAAGC,EAAE,WAAW,IAAI6E,GAAGtE,EAAE,CAAC,UAAU,EAAE,YAAY,CAAC,aAAaR,EAAE,IAAI,uBAAuB,MAAMQ,EAAE,CAAC,MAAM,CAAC,IAAIC,GAAGmD,GAAG,SAAS5D,CAAC,EAAE,GAAG,CAACS,GAAG,OAAOA,GAAG,YAAY,CAAC,IAAI,uBAAuB,MAAMD,EAAE,CAAC,CAAC,CAAC,MAAO,EAAC,CAAC,SAASwF,GAAGhG,EAAEC,EAAEK,GAAG,CAAC,MAAM,EAAE,CAAC,SAAS2F,IAAI,CAAC9E,GAAG,EAAE,CAAC,CAAC,SAAS+E,GAAGlG,EAAE,CAACkG,GAAG,QAAQA,GAAG,MAAM,CAAC,GAAGA,GAAG,MAAMlG,CAAC,IAAIkG,GAAG,MAAMlG,CAAC,EAAE,EAAE3C,IAAI2C,EAAE,YAAYA,GAAGK,EAAEL,CAAC,EAAE,CAAC,SAASmG,IAAI,CAAC9I,GAAGK,GAAGwI,GAAG,0IAA0I,CAAC,CAAC,SAASE,IAAI,CAAC,OAAO,KAAK,IAAI,CAAC,CAAC,SAASC,IAAI,CAAC,MAAO,WAAU,CAAC,SAASC,IAAI,CAAC,OAAOD,GAAG,CAAC,CAAC,IAAIE,GAAGlJ,EAAEkJ,GAAG,IAAI,CAAC,IAAIvG,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,CAAC,EAAE,IAAIA,EAAE,CAAC,EAAE,GAAG,EAAEuG,GAAG,IAAI,YAAY,WAAW,YAAY,IAAI,EAAE,SAASC,GAAGxG,EAAEC,EAAEK,GAAG,CAACtH,EAAE,EAAE,WAAWgH,EAAEC,EAAEA,EAAEK,EAAE,CAAC,CAAC,SAASmG,IAAI,CAAC,OAAOpJ,EAAE4B,GAAG,EAAE,KAAK,EAAE,OAAO,UAAU,mBAAmB,CAAC,SAASyH,GAAG1G,EAAE,CAAC,IAAIC,EAAE0G,GAAG,EAAErG,GAAGN,EAAE,EAAE,OAAOiF,GAAGhF,CAAC,EAAEK,EAAE,CAAC,SAASkE,GAAGxE,EAAEC,EAAE,CAAC,IAAIK,GAAG,UAAU,OAAO,EAAEE,GAAG,UAAU,OAAOkG,GAAG,IAAI,CAAC,QAAQjG,GAAGH,GAAGI,GAAGkG,GAAGnG,GAAG,CAAC,EAAEiB,GAAGhB,IAAI,EAAEiB,GAAG,EAAEA,GAAGrB,GAAGqB,KAAK,CAAC,IAAIC,GAAGpB,GAAG,EAAEmB,EAAE,EAAE/G,EAAE,EAAE8G,GAAGC,EAAE,EAAEC,EAAE,CAAC,OAAOiF,GAAG7G,EAAES,GAAGC,GAAGT,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI6G,GAAG,CAAC,EAAE,SAASC,GAAG/G,EAAEC,EAAEK,GAAG,CAACwG,GAAG,OAAO7G,EAAE,QAAQO,GAAGF,IAAI,EAAEG,GAAG,EAAEA,GAAGR,EAAEQ,KAAKqG,GAAGrG,EAAE,EAAE7F,EAAE,EAAE4F,GAAGC,EAAE,EAAE,IAAIC,GAAGV,EAAE,EAAE0B,GAAGhB,GAAGsD,GAAG,CAAChE,EAAE,CAAC,EAAEgH,GAAGhH,CAAC,EAAE,OAAO0B,GAAG,MAAM,KAAKoF,EAAE,CAAC,CAAC,SAASG,GAAGjH,EAAE,CAAC,GAAG,CAAC,OAAOV,GAAG,KAAKU,EAAET,GAAG,WAAW,QAAQ,EAAE,EAAEC,GAAGF,GAAG,MAAM,EAAE,CAAC,OAAOW,EAAN,CAAS,CAAC,CAAC,SAASiH,GAAGlH,EAAE,CAAC,IAAIC,EAAEjH,EAAE,EAAE,OAAO,GAAGgH,EAAEA,IAAI,EAAEA,GAAGC,EAAE,MAAM,GAAG,IAAIK,GAAG+F,GAAG,EAAE,GAAGrG,EAAEM,GAAG,MAAM,GAAG,IAAIE,GAAG,CAACoB,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQpB,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGT,GAAG,EAAE,GAAGQ,IAAIC,GAAG,KAAK,IAAIA,GAAGV,EAAE,SAAS,EAAE,IAAI0B,GAAG,KAAK,IAAIpB,GAAGE,GAAG,KAAK,IAAIR,EAAEU,EAAE,EAAE,KAAK,CAAC,EAAEiB,GAAGsF,GAAGvF,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,SAASwF,IAAI,CAAC,KAAK,QAAQ,CAAC,SAASC,GAAGpH,EAAE,CAAC,OAAO,EAAEwE,GAAG,EAAE,EAAExE,CAAC,EAAE,EAAE,CAAC,SAASqH,GAAGrH,EAAEC,EAAEK,GAAGE,GAAGC,GAAG,CAAC,OAAO,EAAE+D,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,GAAGC,EAAE,EAAE,EAAE,CAAC,IAAI6G,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASC,GAAGvH,EAAEC,EAAE,CAAC,IAAIK,GAAGgH,GAAGtH,CAAC,EAAEC,IAAI,GAAGA,IAAI,KAAKD,IAAI,EAAEY,EAAEP,GAAGoB,GAAGnB,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKL,CAAC,CAAC,CAAC,SAASuH,GAAGxH,EAAEC,EAAEK,GAAGE,GAAG,CAAC,GAAG,EAAE,OAAOgE,GAAG,EAAE,EAAExE,EAAEC,EAAEK,GAAGE,EAAE,EAAE,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGJ,GAAGI,KAAK,CAAC,IAAIgB,GAAGhH,EAAE,EAAEuF,GAAG,CAAC,EAAE0B,GAAGjH,EAAE,EAAEuF,EAAE,GAAG,CAAC,EAAEA,GAAG,EAAE,QAAQ2B,GAAG,EAAEA,GAAGD,GAAGC,KAAK2F,GAAGvH,EAAEhH,EAAE,EAAE0I,GAAGE,EAAE,CAAC,EAAEnB,IAAIkB,EAAE,CAAC,OAAOjH,EAAE,EAAE8F,IAAI,CAAC,EAAEC,GAAG,CAAC,CAAC,SAASgH,GAAGzH,EAAE,CAAC,IAAIC,EAAEpF,EAAE,IAAImF,CAAC,EAAE,OAAOC,CAAC,CAAC,SAASyH,GAAG1H,EAAEC,EAAE,CAACnH,EAAE,EAAE,IAAIkH,EAAEC,CAAC,CAAC,CAAC,SAAS0H,GAAG3H,EAAEC,EAAEK,GAAGE,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOkH,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGjB,GAAGkB,EAAE,EAAE9F,GAAG4F,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGjB,GAAGgB,GAAG,MAAM,EAAE,OAAOF,GAAGE,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAASnG,GAAGkG,GAAG,CAAC,OAAO3H,IAAI,SAAS6B,GAAG8F,EAAE,EAAE3H,IAAI,UAAU,QAAQ2H,EAAE,EAAEA,EAAE,CAAC,IAAIjG,GAAG8F,GAAGzH,CAAC,EAAE4B,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGrB,GAAG,QAAQqD,GAAG,EAAEA,GAAGrD,GAAG,OAAOqD,KAAK,CAAC,IAAIkE,GAAGrH,GAAGJ,GAAGuD,EAAE,CAAC,EAAEkE,IAAIlG,KAAK,IAAIA,GAAG8E,GAAG,GAAG/E,GAAGiC,EAAE,EAAEkE,GAAGvH,GAAGqD,EAAE,CAAC,GAAGjC,GAAGiC,EAAE,EAAErD,GAAGqD,EAAE,CAAC,CAAC,IAAImE,GAAGrG,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASqG,GAAGL,GAAG,CAAC,OAAO/F,KAAK,GAAGoD,GAAGpD,EAAE,EAAEH,GAAGkG,EAAE,CAAC,CAAC,OAAOI,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASE,GAAGlI,EAAEC,EAAEK,GAAGE,GAAG,CAACF,GAAGA,IAAI,CAAC,EAAE,IAAIG,GAAGH,GAAG,MAAMoB,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAEhB,GAAGT,IAAI,SAAS,OAAOS,IAAID,IAAI,CAACD,GAAGiH,GAAGzH,CAAC,EAAE,UAAU,CAAC,OAAO2H,GAAG3H,EAAEC,EAAEK,GAAG,UAAUE,EAAE,CAAC,CAAC,CAACoD,GAAG,KAAK,EAAE,IAAIoD,GAAG,CAAC,KAAKzC,GAAGG,GAAGe,GAAG2B,GAAGC,GAAGG,EAAE,EAAE9D,GAAG,CAAC,iCAAiC4B,GAAG,4BAA4BE,GAAG,oBAAoBE,GAAG,uCAAuCC,GAAG,iCAAiCE,GAAG,8BAA8BE,GAAG,qCAAqCC,GAAG,MAAMC,GAAG,kCAAkCE,GAAG,oBAAoBC,GAAG,wBAAwBE,GAAG,mBAAmBC,GAAG,sBAAsBC,GAAG,6BAA6BC,GAAG,qCAAqCM,GAAG,uBAAuBG,GAAG,mCAAmCC,GAAG,KAAKxC,GAAG,SAASyC,GAAG,QAAQC,GAAG,SAASG,GAAG,OAAOlI,IAAIzE,EAAE,UAAU,EAAEsN,GAAG1E,GAAG,EAAE2E,GAAGvN,EAAE,mBAAmB,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEwN,GAAGxN,EAAE,MAAM,UAAU,CAAC,OAAOwN,GAAGxN,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,yBAAyB,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,mBAAmB,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,iBAAiB,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,cAAc,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE6N,GAAG7N,EAAE,SAAS,UAAU,CAAC,OAAO6N,GAAG7N,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8N,GAAG9N,EAAE,KAAK,UAAU,CAAC,OAAO8N,GAAG9N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+N,GAAG/N,EAAE,KAAK,UAAU,CAAC,OAAO+N,GAAG/N,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,MAAM,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,KAAK,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,QAAQ,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,SAAS,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,aAAa,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,MAAM,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,aAAa,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,QAAQ,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,qBAAqB,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,KAAK,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,MAAM,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,eAAe,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,SAAS,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE8O,GAAG9O,EAAE,QAAQ,UAAU,CAAC,OAAO8O,GAAG9O,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE+O,GAAG/O,EAAE,cAAc,UAAU,CAAC,OAAO+O,GAAG/O,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgP,GAAGhP,EAAE,uBAAuB,UAAU,CAAC,OAAOgP,GAAGhP,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEiP,GAAGjP,EAAE,KAAK,UAAU,CAAC,OAAOiP,GAAGjP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkP,GAAGlP,EAAE,OAAO,UAAU,CAAC,OAAOkP,GAAGlP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmP,GAAGnP,EAAE,KAAK,UAAU,CAAC,OAAOmP,GAAGnP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,eAAe,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,OAAO,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,UAAU,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,gBAAgB,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,aAAa,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,sBAAsB,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,QAAQ,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,UAAU,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,SAAS,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,cAAc,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,OAAO,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,WAAW,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,MAAM,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,WAAW,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,KAAK,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,YAAY,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,YAAY,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,WAAW,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,KAAK,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,SAAS,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,SAAS,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,MAAM,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,KAAK,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,SAAS,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,WAAW,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,UAAU,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,KAAK,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,qBAAqB,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,qBAAqB,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,qBAAqB,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEmR,EAAEnR,EAAE,UAAU,UAAU,CAAC,OAAOmR,EAAEnR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,QAAQ,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,OAAO,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,KAAK,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,OAAO,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,MAAM,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,SAAS,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,YAAY,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,MAAM,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,OAAO,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,gBAAgB,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,uBAAuB,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,SAAS,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,kBAAkB,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,OAAO,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,OAAO,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,WAAW,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,UAAU,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,SAAS,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,KAAK,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,SAAS,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,qBAAqB,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,eAAe,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,wBAAwB,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,MAAM,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,QAAQ,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE6S,GAAG7S,EAAE,mBAAmB,UAAU,CAAC,OAAO6S,GAAG7S,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8S,GAAG9S,EAAE,MAAM,UAAU,CAAC,OAAO8S,GAAG9S,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE+S,GAAG/S,EAAE,cAAc,UAAU,CAAC,OAAO+S,GAAG/S,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEgT,GAAGhT,EAAE,KAAK,UAAU,CAAC,OAAOgT,GAAGhT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEiT,GAAGjT,EAAE,KAAK,UAAU,CAAC,OAAOiT,GAAGjT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEkT,GAAGlT,EAAE,KAAK,UAAU,CAAC,OAAOkT,GAAGlT,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmT,GAAGnT,EAAE,MAAM,UAAU,CAAC,OAAOmT,GAAGnT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEoT,GAAGpT,EAAE,MAAM,UAAU,CAAC,OAAOoT,GAAGpT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqT,GAAGrT,EAAE,MAAM,UAAU,CAAC,OAAOqT,GAAGrT,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEsT,GAAGtT,EAAE,WAAW,UAAU,CAAC,OAAOsT,GAAGtT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEuT,GAAGvT,EAAE,WAAW,UAAU,CAAC,OAAOuT,GAAGvT,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwT,GAAGxT,EAAE,cAAc,UAAU,CAAC,OAAOwT,GAAGxT,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEyT,GAAGzT,EAAE,QAAQ,UAAU,CAAC,OAAOyT,GAAGzT,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE0T,GAAG1T,EAAE,MAAM,UAAU,CAAC,OAAO0T,GAAG1T,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2T,GAAG3T,EAAE,sBAAsB,UAAU,CAAC,OAAO2T,GAAG3T,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEgK,GAAGhK,EAAE,cAAc,UAAU,CAAC,OAAOgK,GAAGhK,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4T,GAAG5T,EAAE,kBAAkB,UAAU,CAAC,OAAO4T,GAAG5T,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE0K,GAAG1K,EAAE,yBAAyB,UAAU,CAAC,OAAO0K,GAAG1K,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6T,GAAG7T,EAAE,4BAA4B,UAAU,CAAC,OAAO6T,GAAG7T,EAAE,4BAA4BA,EAAE,IAAI,4BAA4B,MAAM,KAAK,SAAS,CAAC,EAAE8T,GAAG9T,EAAE,6CAA6C,UAAU,CAAC,OAAO8T,GAAG9T,EAAE,6CAA6CA,EAAE,IAAI,6CAA6C,MAAM,KAAK,SAAS,CAAC,EAAE+T,GAAG/T,EAAE,mCAAmC,UAAU,CAAC,OAAO+T,GAAG/T,EAAE,mCAAmCA,EAAE,IAAI,mCAAmC,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,0CAA0C,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,0CAA0CA,EAAE,IAAI,0CAA0C,MAAM,KAAK,SAAS,CAAC,EAAEgU,GAAGhU,EAAE,gCAAgC,UAAU,CAAC,OAAOgU,GAAGhU,EAAE,gCAAgCA,EAAE,IAAI,gCAAgC,MAAM,KAAK,SAAS,CAAC,EAAEiL,GAAGjL,EAAE,sCAAsC,UAAU,CAAC,OAAOiL,GAAGjL,EAAE,sCAAsCA,EAAE,IAAI,sCAAsC,MAAM,KAAK,SAAS,CAAC,EAAEqJ,GAAGrJ,EAAE,8BAA8B,UAAU,CAAC,OAAOqJ,GAAGrJ,EAAE,8BAA8BA,EAAE,IAAI,8BAA8B,MAAM,KAAK,SAAS,CAAC,EAAEwK,GAAGxK,EAAE,yBAAyB,UAAU,CAAC,OAAOwK,GAAGxK,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAEmK,GAAGnK,EAAE,6BAA6B,UAAU,CAAC,OAAOmK,GAAGnK,EAAE,6BAA6BA,EAAE,IAAI,6BAA6B,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,UAAU,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoK,GAAGpK,EAAE,aAAa,UAAU,CAAC,OAAOoK,GAAGpK,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE+L,GAAG/L,EAAE,WAAW,UAAU,CAAC,OAAO+L,GAAG/L,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEiU,GAAGjU,EAAE,iBAAiB,UAAU,CAAC,OAAOiU,GAAGjU,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEkU,GAAGlU,EAAE,aAAa,UAAU,CAAC,OAAOkU,GAAGlU,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,iBAAiB8F,GAAG9F,EAAE,WAAWyE,GAAGzE,EAAE,MAAMqN,GAAGrN,EAAE,WAAWuF,GAAGvF,EAAE,QAAQ+I,GAAG,IAAIoL,GAAG/L,GAAG,SAASjD,GAAG,CAACgP,IAAIC,GAAG,EAAED,KAAK/L,GAAGjD,EAAE,EAAE,SAASiP,GAAGjP,EAAE,CAAC,GAAGA,EAAEA,GAAGtE,EAAEqH,GAAG,EAAE,OAAO,GAAG,EAAE,CAACzH,EAAET,CAAC,EAAE8H,GAAG,EAAE,YAAY9H,CAAC,EAAE,MAAM,CAAC,GAAG2H,GAAG,EAAEO,GAAG,EAAE,OAAO,SAAS9C,GAAG,CAAC+O,KAAKA,GAAG,GAAGnU,EAAE,UAAU,GAAG,CAACwG,KAAKsB,GAAG,EAAErH,EAAET,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE+H,GAAG,GAAG,CAAC/H,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEoF,EAAE,CAAC,EAAE,CAAC,GAAGA,EAAE,CAAC,CAAC,GAAGpF,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAEoU,GAAG,EAAE,IAAIC,GAAG1T,IAAI0T,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASlP,EAAE,CAAC,MAAM,CAACxE,EAAE,kBAAkB,QAAQwE,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACxE,EAAE,mBAAmB,QAAQwE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAImP,GAAG,GAAG,OAAO,mBAAmB,YAAYA,GAAG,0BAA0B,OAAO3V,GAAG,YAAY2V,GAAG3V,MAAO,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG0V,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASlP,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEkP,GAAG,mBAAmB,QAAQ,SAASlP,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOxG,EAAE,KAAK,CAAC,GAAG,EAAE,OAAO2F,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,8BAA8BE,EAAG,CAAC,EAAMgQ,GAAG1W,GAAG,CAAC2W,EAAIC,IAAK,CAACA,EAAG,QAAQ,mBAAmB;AAAA,sqEACn6uB,CAAC,EAAMC,GAAG7W,GAAG,CAAC8W,EAAGC,IAAK,CAAC,IAAIC,GAAI,IAAI,CAAC,IAAI/W,EAAE,OAAO,UAAU,aAAa,SAAS,cAAc,SAAS,cAAc,IAAI,OAAO,OAAO,OAAO,YAAY,cAAcA,EAAEA,GAAG,YAAY,SAASY,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIV,EAAE,OAAOU,GAAG,YAAYA,EAAE,CAAC,EAAER,EAAE,EAAEF,EAAE,MAAM,IAAI,QAAQ,SAASkT,EAAEC,GAAG,CAACjT,EAAEgT,EAAE,EAAEC,EAAE,CAAC,EAAE,IAAIxR,EAAE,OAAO,SAAS,aAAa,QAAQ,YAAYA,EAAE,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,CAAC,GAAG,IAAIC,EAAE,OAAO,OAAO,CAAC,EAAE5B,CAAC,EAAE6B,EAAE,CAAC,EAAEC,EAAE,iBAAiBC,EAAE,CAACmR,EAAEC,KAAK,CAAC,MAAMA,EAAE,EAAE3Q,EAAE,OAAO,QAAQ,SAASC,EAAE,OAAO,eAAe,WAAWC,EAAE,OAAO,SAAS,UAAU,OAAO,QAAQ,UAAU,UAAU,OAAO,QAAQ,SAAS,MAAM,SAASC,EAAE,GAAG,SAASC,EAAEsQ,EAAE,CAAC,OAAOlT,EAAE,WAAWA,EAAE,WAAWkT,EAAEvQ,CAAC,EAAEA,EAAEuQ,CAAC,CAAC,IAAIpP,EAAEC,EAAEqD,EAAExC,EAAE,SAASL,EAAE2O,EAAE,CAAIA,aAAahJ,IAAUvF,EAAE,6BAA6BuO,CAAC,CAAC,CAAC,GAAGxQ,EAAE,CAAC,IAAI,EAAEqD,GAAG,EAAEtB,EAAEuB,GAAG,EAAEvD,EAAEE,EAAE8B,EAAE,QAAQ9B,CAAC,EAAE,IAAIA,EAAE,UAAU,IAAImB,EAAE,CAACoP,EAAEC,MAAMD,EAAExJ,GAAGwJ,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAEzO,EAAE,UAAUyO,CAAC,EAAE,EAAE,aAAaA,EAAEC,GAAG,OAAO,MAAM,GAAG/L,EAAE8L,GAAG,CAAC,IAAIC,GAAGrP,EAAEoP,EAAE,EAAE,EAAE,OAAOC,GAAG,SAASA,GAAG,IAAI,WAAWA,EAAE,GAAGA,EAAE,EAAEpP,EAAE,CAACmP,EAAEC,GAAGC,KAAK,CAACF,EAAExJ,GAAGwJ,CAAC,EAAE,IAAI,IAAIA,CAAC,EAAEzO,EAAE,UAAUyO,CAAC,EAAE,EAAE,SAASA,EAAE,SAASG,GAAGC,GAAG,CAACD,GAAGD,GAAGC,EAAE,EAAEF,GAAGG,GAAG,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,KAAK,OAAO,IAAIxR,EAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,MAAM,GAAG,GAAGD,EAAE,QAAQ,KAAK,MAAM,CAAC,EAAE,QAAQ,GAAG,oBAAoB,SAASqR,EAAE,CAAC,GAAG,EAAEA,aAAahJ,IAAI,MAAMgJ,CAAC,CAAC,EAAE,QAAQ,GAAG,qBAAqB,SAASA,EAAE,CAAC,MAAMA,CAAC,CAAC,EAAEnR,EAAE,CAACmR,EAAEC,KAAK,CAAC,GAAGvM,GAAG,EAAE,MAAM,QAAQ,SAASsM,EAAEC,GAAG5O,EAAE4O,EAAE,EAAE,QAAQ,KAAKD,CAAC,CAAC,EAAElT,EAAE,QAAQ,UAAU,CAAC,MAAM,4BAA4B,CAAC,MAAMwC,GAAGC,KAAKA,EAAEE,EAAE,KAAK,SAAS,KAAK,OAAO,UAAU,aAAa,SAAS,gBAAgBA,EAAE,SAAS,cAAc,KAAK7C,IAAI6C,EAAE7C,GAAG6C,EAAE,QAAQ,OAAO,IAAI,EAAEA,EAAEA,EAAE,OAAO,EAAEA,EAAE,QAAQ,SAAS,EAAE,EAAE,YAAY,GAAG,EAAE,CAAC,EAAEA,EAAE,GAAGmB,EAAEoP,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,KAAK,IAAI,EAAEA,GAAG,YAAY,EAAE1Q,IAAI2E,EAAE8L,GAAG,CAAC,IAAIC,GAAG,IAAI,eAAe,OAAOA,GAAG,KAAK,MAAMD,EAAE,EAAE,EAAEC,GAAG,aAAa,cAAcA,GAAG,KAAK,IAAI,EAAE,IAAI,WAAWA,GAAG,QAAQ,CAAC,GAAGpP,EAAE,CAACmP,EAAEC,GAAGC,KAAK,CAAC,IAAIC,GAAG,IAAI,eAAeA,GAAG,KAAK,MAAMH,EAAE,EAAE,EAAEG,GAAG,aAAa,cAAcA,GAAG,OAAO,IAAI,CAAC,GAAGA,GAAG,QAAQ,KAAKA,GAAG,QAAQ,GAAGA,GAAG,SAAS,CAACF,GAAGE,GAAG,QAAQ,EAAE,MAAM,CAACD,GAAG,CAAC,EAAEC,GAAG,QAAQD,GAAGC,GAAG,KAAK,IAAI,CAAC,EAAEzO,EAAEsO,GAAG,SAAS,MAAMA,GAAG,IAAIxO,EAAE1E,EAAE,OAAO,QAAQ,IAAI,KAAK,OAAO,EAAE2E,EAAE3E,EAAE,UAAU,QAAQ,KAAK,KAAK,OAAO,EAAE,OAAO,OAAOA,EAAE4B,CAAC,EAAEA,EAAE,KAAK5B,EAAE,YAAY6B,EAAE7B,EAAE,WAAWA,EAAE,cAAc8B,EAAE9B,EAAE,aAAaA,EAAE,OAAO+B,EAAE/B,EAAE,MAAM,IAAI6E,EAAE,EAAEwC,EAAErH,EAAE,aAAaqH,EAAErH,EAAE,YAAY,IAAI8E,EAAE9E,EAAE,eAAe,GAAG,OAAO,aAAa,UAAUwJ,GAAG,iCAAiC,EAAE,IAAIzE,EAAEC,EAAE,GAAGC,EAAE,SAASC,EAAEgO,EAAEC,GAAG,CAACD,GAAG1J,GAAG2J,EAAE,CAAC,CAAC,IAAIhO,EAAE,OAAO,aAAa,YAAY,IAAI,YAAY,MAAM,EAAE,OAAO,SAAS2C,EAAEoL,EAAEC,GAAGC,GAAG,CAAC,QAAQC,GAAGF,GAAGC,GAAGE,GAAGH,GAAGD,EAAEI,EAAE,GAAG,EAAEA,IAAID,KAAK,EAAEC,GAAG,GAAGA,GAAGH,GAAG,IAAID,EAAE,QAAQ/N,EAAE,OAAOA,EAAE,OAAO+N,EAAE,SAASC,GAAGG,EAAE,CAAC,EAAE,QAAQC,GAAG,GAAGJ,GAAGG,IAAI,CAAC,IAAIE,GAAGN,EAAEC,IAAI,EAAE,GAAG,EAAEK,GAAG,KAAK,CAACD,IAAI,OAAO,aAAaC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGP,EAAEC,IAAI,EAAE,GAAG,IAAIK,GAAG,MAAM,IAAI,CAACD,IAAI,OAAO,cAAcC,GAAG,KAAK,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAIC,GAAGR,EAAEC,IAAI,EAAE,GAAG,IAAIK,GAAG,MAAM,IAAIA,IAAIA,GAAG,KAAK,GAAGC,IAAI,EAAEC,GAAGF,IAAIA,GAAG,IAAI,GAAGC,IAAI,GAAGC,IAAI,EAAER,EAAEC,IAAI,EAAE,GAAGK,GAAG,MAAMD,IAAI,OAAO,aAAaC,EAAE,MAAM,CAAC,IAAIG,GAAGH,GAAG,MAAMD,IAAI,OAAO,aAAa,MAAMI,IAAI,GAAG,MAAMA,GAAG,IAAI,CAAC,CAAC,CAAC,OAAOJ,EAAE,CAAC,SAAShM,EAAE2L,EAAEC,GAAG,CAAC,OAAOD,EAAEpL,EAAEK,GAAG+K,EAAEC,EAAE,EAAE,EAAE,CAAC,SAASpL,GAAEmL,EAAEC,GAAGC,GAAGC,GAAG,CAAC,GAAG,EAAEA,GAAG,GAAG,MAAO,GAAE,QAAQC,GAAGF,GAAGG,GAAGH,GAAGC,GAAG,EAAEG,GAAG,EAAEA,GAAGN,EAAE,OAAO,EAAEM,GAAG,CAAC,IAAIC,GAAGP,EAAE,WAAWM,EAAE,EAAE,GAAGC,IAAI,OAAOA,IAAI,MAAM,CAAC,IAAIC,GAAGR,EAAE,WAAW,EAAEM,EAAE,EAAEC,GAAG,QAAQA,GAAG,OAAO,IAAIC,GAAG,IAAI,CAAC,GAAGD,IAAI,IAAI,CAAC,GAAGL,IAAIG,GAAG,MAAMJ,GAAGC,IAAI,EAAEK,EAAE,SAASA,IAAI,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,IAAI,EAAE,IAAIK,IAAI,EAAEN,GAAGC,IAAI,EAAE,IAAIK,GAAG,EAAE,SAASA,IAAI,MAAM,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,IAAI,EAAE,IAAIK,IAAI,GAAGN,GAAGC,IAAI,EAAE,IAAIK,IAAI,EAAE,GAAGN,GAAGC,IAAI,EAAE,IAAIK,GAAG,EAAE,KAAK,CAAC,GAAGL,GAAG,GAAGG,GAAG,MAAMJ,GAAGC,IAAI,EAAE,IAAIK,IAAI,GAAGN,GAAGC,IAAI,EAAE,IAAIK,IAAI,GAAG,GAAGN,GAAGC,IAAI,EAAE,IAAIK,IAAI,EAAE,GAAGN,GAAGC,IAAI,EAAE,IAAIK,GAAG,EAAE,CAAC,CAAC,OAAON,GAAGC,EAAE,EAAE,EAAEA,GAAGE,EAAE,CAAC,SAAStL,GAAGkL,EAAEC,GAAGC,GAAG,CAAC,OAAOrL,GAAEmL,EAAE/K,GAAGgL,GAAGC,EAAE,CAAC,CAAC,IAAInL,GAAGC,GAAGC,GAAGC,GAAG5B,GAAG8B,GAAGC,GAAGC,GAAGC,GAAG,SAASC,GAAGwK,EAAE,CAACjL,GAAGiL,EAAElT,EAAE,MAAMkI,GAAG,IAAI,UAAUgL,CAAC,EAAElT,EAAE,OAAOoI,GAAG,IAAI,WAAW8K,CAAC,EAAElT,EAAE,OAAOsI,GAAG,IAAI,WAAW4K,CAAC,EAAElT,EAAE,OAAOmI,GAAG,IAAI,WAAW+K,CAAC,EAAElT,EAAE,QAAQwG,GAAG,IAAI,YAAY0M,CAAC,EAAElT,EAAE,QAAQuI,GAAG,IAAI,YAAY2K,CAAC,EAAElT,EAAE,QAAQwI,GAAG,IAAI,aAAa0K,CAAC,EAAElT,EAAE,QAAQyI,GAAG,IAAI,aAAayK,CAAC,CAAC,CAAC,IAAIvK,GAAG3I,EAAE,gBAAgB,SAASgJ,GAAGC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAEzC,GAAG,CAAC,EAAEE,GAAG,GAAG,SAASC,IAAI,CAAC,OAAO9B,CAAC,CAAC,SAAS+B,IAAI,CAAC,GAAG7G,EAAE,OAAO,IAAI,OAAOA,EAAE,QAAQ,aAAaA,EAAE,OAAO,CAACA,EAAE,MAAM,GAAGA,EAAE,OAAO,QAAQ+G,GAAG/G,EAAE,OAAO,MAAM,CAAC,EAAEmK,GAAGlB,EAAE,CAAC,CAAC,SAASE,IAAI,CAACxC,GAAG,GAAGwD,GAAGjB,EAAE,CAAC,CAAC,SAASpC,IAAI,CAAC,GAAG9G,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,QAAQiH,GAAGjH,EAAE,QAAQ,MAAM,CAAC,EAAEmK,GAAG1D,EAAE,CAAC,CAAC,SAASM,GAAGmM,EAAE,CAACjK,GAAG,QAAQiK,CAAC,CAAC,CAAC,SAASlM,GAAGkM,EAAE,CAAChK,GAAG,QAAQgK,CAAC,CAAC,CAAC,SAASjM,GAAGiM,EAAE,CAACzM,GAAG,QAAQyM,CAAC,CAAC,CAAC,IAAIxM,GAAG,EAAE0C,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG4J,EAAE,CAACxM,KAAK1G,EAAE,wBAAwBA,EAAE,uBAAuB0G,EAAE,CAAC,CAAC,SAAS6C,GAAG2J,EAAE,CAAC,GAAGxM,KAAK1G,EAAE,wBAAwBA,EAAE,uBAAuB0G,EAAE,EAAEA,IAAI,IAAI0C,KAAK,OAAO,cAAcA,EAAE,EAAEA,GAAG,MAAMC,IAAI,CAAC,IAAI8J,GAAG9J,GAAGA,GAAG,KAAK8J,GAAG,CAAC,CAAC,CAAC,SAAS3J,GAAG0J,EAAE,CAAClT,EAAE,SAASA,EAAE,QAAQkT,CAAC,EAAEA,EAAE,WAAWA,EAAE,IAAIvO,EAAEuO,CAAC,EAAElO,EAAE,GAAGC,EAAE,EAAEiO,GAAG,2CAA2C,IAAIC,GAAG,IAAI,YAAY,aAAaD,CAAC,EAAE,MAAM,EAAEC,EAAE,EAAEA,EAAE,CAAC,IAAI1J,GAAG,wCAAwC,SAAS5B,GAAGqL,EAAE,CAAC,OAAOA,EAAE,WAAWzJ,EAAE,CAAC,CAAC,SAASC,GAAGwJ,EAAE,CAAC,OAAOA,EAAE,WAAW,SAAS,CAAC,CAAC,IAAIrJ,GAAGA,GAAG,yBAAyBhC,GAAGgC,EAAE,IAAIA,GAAGjH,EAAEiH,EAAE,GAAG,SAASC,GAAGoJ,EAAE,CAAC,GAAG,CAAC,GAAGA,GAAGrJ,IAAIxC,EAAE,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAGD,EAAE,OAAOA,EAAE8L,CAAC,EAAE,KAAK,iDAAiD,OAAOC,GAAN,CAAU3J,GAAG2J,EAAE,CAAC,CAAC,CAAC,SAASxJ,IAAI,CAAC,GAAG,CAACtC,IAAI7E,GAAGC,GAAG,CAAC,GAAG,OAAO,OAAO,YAAY,CAACiH,GAAGG,EAAE,EAAE,OAAO,MAAMA,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAASqJ,EAAE,CAAC,GAAG,CAACA,EAAE,GAAG,KAAK,uCAAuCrJ,GAAG,IAAI,OAAOqJ,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,UAAU,CAAC,OAAOpJ,GAAGD,EAAE,CAAC,CAAC,EAAE,GAAG9F,EAAE,OAAO,IAAI,QAAQ,SAASmP,EAAEC,GAAG,CAACpP,EAAE8F,GAAG,SAASuJ,GAAG,CAACF,EAAE,IAAI,WAAWE,EAAE,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,QAAQ,QAAQ,EAAE,KAAK,UAAU,CAAC,OAAOrJ,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,SAASG,IAAI,CAAC,IAAIkJ,EAAE,CAAC,IAAI5H,GAAG,uBAAuBA,EAAE,EAAE,SAAS6H,GAAGK,GAAGC,GAAG,CAAC,IAAIC,GAAGF,GAAG,QAAQxT,EAAE,IAAI0T,GAAG3O,EAAE/E,EAAE,IAAI,OAAO0I,GAAG3D,EAAE,MAAM,EAAEiE,GAAGhJ,EAAE,IAAI,0BAA0BgH,GAAGhH,EAAE,IAAI,iBAAiB,EAAEuJ,GAAG,kBAAkB,CAAC,CAACD,GAAG,kBAAkB,EAAE,SAAS8J,GAAGI,GAAG,CAACL,GAAGK,GAAG,QAAQ,CAAC,CAAC,SAASH,GAAGG,GAAG,CAAC,OAAO7J,GAAG,EAAE,KAAK,SAAS8J,GAAG,CAAC,OAAO,YAAY,YAAYA,GAAGP,CAAC,CAAC,CAAC,EAAE,KAAK,SAASO,GAAG,CAAC,OAAOA,EAAE,CAAC,EAAE,KAAKD,GAAG,SAASC,GAAG,CAAC9O,EAAE,0CAA0C8O,EAAE,EAAEjK,GAAGiK,EAAE,CAAC,CAAC,CAAC,CAAC,SAASH,IAAI,CAAC,MAAM,CAACjM,GAAG,OAAO,YAAY,sBAAsB,YAAY,CAACQ,GAAGgC,EAAE,GAAG,CAACH,GAAGG,EAAE,GAAG,CAACnH,GAAG,OAAO,OAAO,WAAW,MAAMmH,GAAG,CAAC,YAAY,aAAa,CAAC,EAAE,KAAK,SAAS2J,GAAG,CAAC,IAAIC,GAAG,YAAY,qBAAqBD,GAAGN,CAAC,EAAE,OAAOO,GAAG,KAAKL,GAAG,SAASM,GAAG,CAAC,OAAO/O,EAAE,kCAAkC+O,EAAE,EAAE/O,EAAE,2CAA2C,EAAE0O,GAAGD,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAGD,EAAE,CAAC,CAAC,GAAGpT,EAAE,gBAAgB,GAAG,CAAC,IAAIuT,GAAGvT,EAAE,gBAAgBkT,EAAEC,EAAE,EAAE,OAAOI,EAAE,OAAOC,GAAN,CAAU7O,EAAE,sDAAsD6O,EAAE,EAAE,EAAEA,EAAE,CAAC,CAAC,OAAOF,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIvJ,GAAGE,GAAG,SAASC,GAAGgJ,EAAE,CAAC,KAAK,KAAK,aAAa,KAAK,QAAQ,gCAAgCA,EAAE,IAAI,KAAK,OAAOA,CAAC,CAAC,SAAS/I,GAAG+I,EAAE,CAAC,KAAKA,EAAE,OAAO,GAAGA,EAAE,MAAM,EAAElT,CAAC,CAAC,CAAC,SAASoK,IAAI,CAACZ,GAAG,EAAE,CAAC,CAAC,SAASa,IAAI,CAAC,MAAO,WAAU,CAAC,SAAShC,IAAI,CAAC,OAAOgC,GAAG,CAAC,CAAC,SAASC,GAAG4I,EAAEC,GAAGC,GAAG,CAACjL,GAAG,WAAW+K,EAAEC,GAAGA,GAAGC,EAAE,CAAC,CAAC,SAAS7I,GAAG2I,EAAE,CAAC,GAAG,CAAC,OAAOnO,EAAE,KAAKmO,EAAEjL,GAAG,WAAW,QAAQ,EAAE,EAAES,GAAG3D,EAAE,MAAM,EAAE,CAAC,OAAOoO,GAAN,CAAU,CAAC,CAAC,SAAS1L,GAAGyL,EAAE,CAAC,IAAIC,GAAGhL,GAAG,OAAO+K,EAAEA,IAAI,EAAE,IAAIE,GAAG/I,GAAG,EAAE,GAAG6I,EAAEE,GAAG,MAAM,GAAG,IAAIC,GAAG,CAACK,GAAGC,KAAKD,IAAIC,GAAGD,GAAGC,IAAIA,GAAG,QAAQL,GAAG,EAAEA,IAAI,EAAEA,IAAI,EAAE,CAAC,IAAIC,GAAGJ,IAAI,EAAE,GAAGG,IAAIC,GAAG,KAAK,IAAIA,GAAGL,EAAE,SAAS,EAAE,IAAIM,GAAG,KAAK,IAAIJ,GAAGC,GAAG,KAAK,IAAIH,EAAEK,EAAE,EAAE,KAAK,CAAC,EAAEE,GAAGlJ,GAAGiJ,EAAE,EAAE,GAAGC,GAAG,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIjJ,GAAG,CAAC,QAAQ,OAAO,IAAI,UAAU,CAACA,GAAG,SAAS,EAAE,IAAI0I,EAAE5K,GAAGkC,GAAG,QAAQ,GAAG,CAAC,EAAE,OAAO0I,CAAC,EAAE,OAAO,SAASA,EAAE,CAAC,IAAIC,GAAG5L,EAAE2L,CAAC,EAAE,OAAOC,EAAE,CAAC,EAAE,SAAS1I,GAAGyI,EAAE,CAAC,MAAO,GAAE,CAAC,SAASxI,GAAGwI,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,MAAO,GAAE,CAAC,IAAI3I,GAAG,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,SAASK,GAAGkI,EAAEC,GAAG,CAAC,IAAIC,GAAGzI,GAAGuI,CAAC,EAAEC,KAAK,GAAGA,KAAK,KAAKD,IAAI,EAAExO,EAAEC,GAAGmD,EAAEsL,GAAG,CAAC,CAAC,EAAEA,GAAG,OAAO,GAAGA,GAAG,KAAKD,EAAE,CAAC,CAAC,SAASlI,GAAGiI,EAAEC,GAAGC,GAAGC,GAAG,CAAC,QAAQC,GAAG,EAAEC,GAAG,EAAEA,GAAGH,GAAGG,KAAK,CAAC,IAAIC,GAAGjL,GAAG4K,IAAI,CAAC,EAAEM,GAAGlL,GAAG4K,GAAG,GAAG,CAAC,EAAEA,IAAI,EAAE,QAAQO,GAAG,EAAEA,GAAGD,GAAGC,KAAK1I,GAAGkI,EAAE/K,GAAGqL,GAAGE,EAAE,CAAC,EAAEJ,IAAIG,EAAE,CAAC,OAAOlL,GAAG8K,IAAI,CAAC,EAAEC,GAAG,CAAC,CAAC,SAASpI,GAAGgI,EAAE,CAAC,IAAIC,GAAGnT,EAAE,IAAIkT,CAAC,EAAE,OAAOC,EAAE,CAAC,SAAS7L,GAAG4L,EAAEC,GAAG,CAACjL,GAAG,IAAIgL,EAAEC,EAAE,CAAC,CAAC,SAAShI,GAAG+H,EAAEC,GAAGC,GAAGC,GAAGC,GAAG,CAAC,IAAIC,GAAG,CAAC,OAAOS,IAAI,CAAC,IAAIC,GAAG,EAAE,GAAGD,IAAI,MAAMA,KAAK,EAAE,CAAC,IAAIE,IAAIF,GAAG,QAAQ,GAAG,EAAEC,GAAGvB,GAAGwB,EAAE,EAAElM,GAAGgM,GAAGC,GAAGC,EAAE,CAAC,CAAC,OAAOD,EAAE,EAAE,MAAMD,IAAI,CAAC,IAAIC,GAAGvB,GAAGsB,GAAG,MAAM,EAAE,OAAO1M,GAAG0M,GAAGC,EAAE,EAAEA,EAAE,CAAC,EAAE,SAAST,GAAGQ,GAAG,CAAC,OAAOb,KAAK,SAAS5L,EAAEyM,EAAE,EAAEb,KAAK,UAAU,QAAQa,EAAE,EAAEA,EAAE,CAAC,IAAIP,GAAGvI,GAAGgI,CAAC,EAAEQ,GAAG,CAAC,EAAEC,GAAG,EAAE,GAAGN,GAAG,QAAQO,GAAG,EAAEA,GAAGP,GAAG,OAAOO,KAAK,CAAC,IAAIC,GAAGN,GAAGH,GAAGQ,EAAE,CAAC,EAAEC,IAAIF,KAAK,IAAIA,GAAGnB,GAAG,GAAGkB,GAAGE,EAAE,EAAEC,GAAGR,GAAGO,EAAE,CAAC,GAAGF,GAAGE,EAAE,EAAEP,GAAGO,EAAE,CAAC,CAAC,IAAIE,GAAGL,GAAG,MAAM,KAAKC,EAAE,EAAE,SAASK,GAAGC,GAAG,CAAC,OAAOL,KAAK,GAAGlB,GAAGkB,EAAE,EAAEH,GAAGQ,EAAE,CAAC,CAAC,OAAOF,GAAGC,GAAGD,EAAE,EAAEA,EAAE,CAAC,SAASzI,GAAG6H,EAAEC,GAAGC,GAAGC,GAAG,CAACD,GAAGA,IAAI,CAAC,EAAE,IAAIE,GAAGF,GAAG,MAAMI,IAAIA,KAAK,UAAUA,KAAK,SAAS,EAAED,GAAGJ,KAAK,SAAS,OAAOI,IAAID,IAAI,CAACD,GAAGnI,GAAGgI,CAAC,EAAE,UAAU,CAAC,OAAO/H,GAAG+H,EAAEC,GAAGC,GAAG,UAAUC,EAAE,CAAC,CAAC,CAAC,IAAI/H,GAAG,CAAC,MAAMlB,GAAG,wBAAwB/B,GAAG,sBAAsBiC,GAAG,uBAAuB7C,GAAG,SAASgD,GAAG,QAAQC,GAAG,SAASO,EAAE,EAAEM,GAAGvB,GAAG,EAAEwB,GAAGxL,EAAE,mBAAmB,UAAU,CAAC,OAAOwL,GAAGxL,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAEyL,GAAGzL,EAAE,MAAM,UAAU,CAAC,OAAOyL,GAAGzL,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2L,GAAG3L,EAAE,yBAAyB,UAAU,CAAC,OAAO2L,GAAG3L,EAAE,yBAAyBA,EAAE,IAAI,yBAAyB,MAAM,KAAK,SAAS,CAAC,EAAE6L,GAAG7L,EAAE,mBAAmB,UAAU,CAAC,OAAO6L,GAAG7L,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE8L,GAAG9L,EAAE,iBAAiB,UAAU,CAAC,OAAO8L,GAAG9L,EAAE,iBAAiBA,EAAE,IAAI,iBAAiB,MAAM,KAAK,SAAS,CAAC,EAAE8K,GAAG9K,EAAE,cAAc,UAAU,CAAC,OAAO8K,GAAG9K,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4J,GAAG5J,EAAE,SAAS,UAAU,CAAC,OAAO4J,GAAG5J,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEiM,GAAGjM,EAAE,KAAK,UAAU,CAAC,OAAOiM,GAAGjM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4L,GAAG5L,EAAE,KAAK,UAAU,CAAC,OAAO4L,GAAG5L,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEoM,GAAGpM,EAAE,MAAM,UAAU,CAAC,OAAOoM,GAAGpM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqM,GAAGrM,EAAE,KAAK,UAAU,CAAC,OAAOqM,GAAGrM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEsM,GAAGtM,EAAE,KAAK,UAAU,CAAC,OAAOsM,GAAGtM,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6K,GAAG7K,EAAE,QAAQ,UAAU,CAAC,OAAO6K,GAAG7K,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEwM,GAAGxM,EAAE,SAAS,UAAU,CAAC,OAAOwM,GAAGxM,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE0M,GAAG1M,EAAE,aAAa,UAAU,CAAC,OAAO0M,GAAG1M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE2M,GAAG3M,EAAE,MAAM,UAAU,CAAC,OAAO2M,GAAG3M,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE4M,GAAG5M,EAAE,aAAa,UAAU,CAAC,OAAO4M,GAAG5M,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAE6M,GAAG7M,EAAE,QAAQ,UAAU,CAAC,OAAO6M,GAAG7M,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAE8M,GAAG9M,EAAE,qBAAqB,UAAU,CAAC,OAAO8M,GAAG9M,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE+M,GAAG/M,EAAE,KAAK,UAAU,CAAC,OAAO+M,GAAG/M,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEgM,GAAGhM,EAAE,MAAM,UAAU,CAAC,OAAOgM,GAAGhM,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiN,GAAGjN,EAAE,eAAe,UAAU,CAAC,OAAOiN,GAAGjN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEkN,GAAGlN,EAAE,SAAS,UAAU,CAAC,OAAOkN,GAAGlN,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEmN,GAAGnN,EAAE,QAAQ,UAAU,CAAC,OAAOmN,GAAGnN,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEoN,GAAGpN,EAAE,cAAc,UAAU,CAAC,OAAOoN,GAAGpN,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEqN,GAAGrN,EAAE,uBAAuB,UAAU,CAAC,OAAOqN,GAAGrN,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAEsN,GAAGtN,EAAE,KAAK,UAAU,CAAC,OAAOsN,GAAGtN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEuN,GAAGvN,EAAE,OAAO,UAAU,CAAC,OAAOuN,GAAGvN,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEwN,GAAGxN,EAAE,KAAK,UAAU,CAAC,OAAOwN,GAAGxN,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEyN,GAAGzN,EAAE,eAAe,UAAU,CAAC,OAAOyN,GAAGzN,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAE0N,GAAG1N,EAAE,OAAO,UAAU,CAAC,OAAO0N,GAAG1N,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE2N,GAAG3N,EAAE,UAAU,UAAU,CAAC,OAAO2N,GAAG3N,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE4N,GAAG5N,EAAE,gBAAgB,UAAU,CAAC,OAAO4N,GAAG5N,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE0L,GAAG1L,EAAE,aAAa,UAAU,CAAC,OAAO0L,GAAG1L,EAAE,aAAaA,EAAE,IAAI,aAAa,MAAM,KAAK,SAAS,CAAC,EAAEgO,GAAGhO,EAAE,sBAAsB,UAAU,CAAC,OAAOgO,GAAGhO,EAAE,sBAAsBA,EAAE,IAAI,sBAAsB,MAAM,KAAK,SAAS,CAAC,EAAEiO,GAAGjO,EAAE,QAAQ,UAAU,CAAC,OAAOiO,GAAGjO,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEmO,GAAGnO,EAAE,UAAU,UAAU,CAAC,OAAOmO,GAAGnO,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEoO,GAAGpO,EAAE,SAAS,UAAU,CAAC,OAAOoO,GAAGpO,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqO,GAAGrO,EAAE,cAAc,UAAU,CAAC,OAAOqO,GAAGrO,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEsO,GAAGtO,EAAE,OAAO,UAAU,CAAC,OAAOsO,GAAGtO,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEuO,GAAGvO,EAAE,WAAW,UAAU,CAAC,OAAOuO,GAAGvO,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEwO,GAAGxO,EAAE,MAAM,UAAU,CAAC,OAAOwO,GAAGxO,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEyO,GAAGzO,EAAE,WAAW,UAAU,CAAC,OAAOyO,GAAGzO,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE0O,GAAG1O,EAAE,KAAK,UAAU,CAAC,OAAO0O,GAAG1O,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE2O,GAAG3O,EAAE,YAAY,UAAU,CAAC,OAAO2O,GAAG3O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE4O,GAAG5O,EAAE,YAAY,UAAU,CAAC,OAAO4O,GAAG5O,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE6O,GAAG7O,EAAE,WAAW,UAAU,CAAC,OAAO6O,GAAG7O,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoP,GAAGpP,EAAE,YAAY,UAAU,CAAC,OAAOoP,GAAGpP,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEkO,GAAGlO,EAAE,KAAK,UAAU,CAAC,OAAOkO,GAAGlO,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4K,GAAG5K,EAAE,SAAS,UAAU,CAAC,OAAO4K,GAAG5K,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEqP,GAAGrP,EAAE,SAAS,UAAU,CAAC,OAAOqP,GAAGrP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsP,GAAGtP,EAAE,MAAM,UAAU,CAAC,OAAOsP,GAAGtP,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuP,GAAGvP,EAAE,KAAK,UAAU,CAAC,OAAOuP,GAAGvP,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEwP,GAAGxP,EAAE,SAAS,UAAU,CAAC,OAAOwP,GAAGxP,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEyP,GAAGzP,EAAE,WAAW,UAAU,CAAC,OAAOyP,GAAGzP,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAE0P,GAAG1P,EAAE,UAAU,UAAU,CAAC,OAAO0P,GAAG1P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAE2P,GAAG3P,EAAE,KAAK,UAAU,CAAC,OAAO2P,GAAG3P,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE4P,GAAG5P,EAAE,qBAAqB,UAAU,CAAC,OAAO4P,GAAG5P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE6P,GAAG7P,EAAE,qBAAqB,UAAU,CAAC,OAAO6P,GAAG7P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE8P,GAAG9P,EAAE,qBAAqB,UAAU,CAAC,OAAO8P,GAAG9P,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAE+P,GAAG/P,EAAE,UAAU,UAAU,CAAC,OAAO+P,GAAG/P,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEgQ,GAAGhQ,EAAE,QAAQ,UAAU,CAAC,OAAOgQ,GAAGhQ,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEiQ,GAAGjQ,EAAE,OAAO,UAAU,CAAC,OAAOiQ,GAAGjQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEkQ,GAAGlQ,EAAE,KAAK,UAAU,CAAC,OAAOkQ,GAAGlQ,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmQ,GAAGnQ,EAAE,OAAO,UAAU,CAAC,OAAOmQ,GAAGnQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEoQ,GAAGpQ,EAAE,MAAM,UAAU,CAAC,OAAOoQ,GAAGpQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEqQ,GAAGrQ,EAAE,SAAS,UAAU,CAAC,OAAOqQ,GAAGrQ,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEsQ,GAAGtQ,EAAE,YAAY,UAAU,CAAC,OAAOsQ,GAAGtQ,EAAE,YAAYA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAEuQ,GAAGvQ,EAAE,MAAM,UAAU,CAAC,OAAOuQ,GAAGvQ,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEwQ,GAAGxQ,EAAE,OAAO,UAAU,CAAC,OAAOwQ,GAAGxQ,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAEyQ,GAAGzQ,EAAE,gBAAgB,UAAU,CAAC,OAAOyQ,GAAGzQ,EAAE,gBAAgBA,EAAE,IAAI,gBAAgB,MAAM,KAAK,SAAS,CAAC,EAAE0Q,GAAG1Q,EAAE,uBAAuB,UAAU,CAAC,OAAO0Q,GAAG1Q,EAAE,uBAAuBA,EAAE,IAAI,uBAAuB,MAAM,KAAK,SAAS,CAAC,EAAE2Q,GAAG3Q,EAAE,SAAS,UAAU,CAAC,OAAO2Q,GAAG3Q,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAE4Q,GAAG5Q,EAAE,kBAAkB,UAAU,CAAC,OAAO4Q,GAAG5Q,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE6Q,GAAG7Q,EAAE,OAAO,UAAU,CAAC,OAAO6Q,GAAG7Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE8Q,GAAG9Q,EAAE,OAAO,UAAU,CAAC,OAAO8Q,GAAG9Q,EAAE,OAAOA,EAAE,IAAI,OAAO,MAAM,KAAK,SAAS,CAAC,EAAE+Q,GAAG/Q,EAAE,WAAW,UAAU,CAAC,OAAO+Q,GAAG/Q,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEgR,GAAGhR,EAAE,UAAU,UAAU,CAAC,OAAOgR,GAAGhR,EAAE,UAAUA,EAAE,IAAI,UAAU,MAAM,KAAK,SAAS,CAAC,EAAEiR,GAAGjR,EAAE,SAAS,UAAU,CAAC,OAAOiR,GAAGjR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEkR,GAAGlR,EAAE,KAAK,UAAU,CAAC,OAAOkR,GAAGlR,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAEmR,GAAGnR,EAAE,SAAS,UAAU,CAAC,OAAOmR,GAAGnR,EAAE,SAASA,EAAE,IAAI,SAAS,MAAM,KAAK,SAAS,CAAC,EAAEoR,GAAGpR,EAAE,qBAAqB,UAAU,CAAC,OAAOoR,GAAGpR,EAAE,qBAAqBA,EAAE,IAAI,qBAAqB,MAAM,KAAK,SAAS,CAAC,EAAEqR,GAAGrR,EAAE,eAAe,UAAU,CAAC,OAAOqR,GAAGrR,EAAE,eAAeA,EAAE,IAAI,eAAe,MAAM,KAAK,SAAS,CAAC,EAAEsR,GAAGtR,EAAE,wBAAwB,UAAU,CAAC,OAAOsR,GAAGtR,EAAE,wBAAwBA,EAAE,IAAI,wBAAwB,MAAM,KAAK,SAAS,CAAC,EAAEuR,GAAGvR,EAAE,MAAM,UAAU,CAAC,OAAOuR,GAAGvR,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEwR,GAAGxR,EAAE,QAAQ,UAAU,CAAC,OAAOwR,GAAGxR,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEyR,GAAGzR,EAAE,mBAAmB,UAAU,CAAC,OAAOyR,GAAGzR,EAAE,mBAAmBA,EAAE,IAAI,mBAAmB,MAAM,KAAK,SAAS,CAAC,EAAE0R,GAAG1R,EAAE,MAAM,UAAU,CAAC,OAAO0R,GAAG1R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAE2R,GAAG3R,EAAE,cAAc,UAAU,CAAC,OAAO2R,GAAG3R,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE4R,GAAG5R,EAAE,KAAK,UAAU,CAAC,OAAO4R,GAAG5R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE6R,GAAG7R,EAAE,KAAK,UAAU,CAAC,OAAO6R,GAAG7R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE8R,GAAG9R,EAAE,KAAK,UAAU,CAAC,OAAO8R,GAAG9R,EAAE,KAAKA,EAAE,IAAI,KAAK,MAAM,KAAK,SAAS,CAAC,EAAE+R,GAAG/R,EAAE,MAAM,UAAU,CAAC,OAAO+R,GAAG/R,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEgS,GAAGhS,EAAE,MAAM,UAAU,CAAC,OAAOgS,GAAGhS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEiS,GAAGjS,EAAE,MAAM,UAAU,CAAC,OAAOiS,GAAGjS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEkS,GAAGlS,EAAE,WAAW,UAAU,CAAC,OAAOkS,GAAGlS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEmS,GAAGnS,EAAE,WAAW,UAAU,CAAC,OAAOmS,GAAGnS,EAAE,WAAWA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEoS,GAAGpS,EAAE,cAAc,UAAU,CAAC,OAAOoS,GAAGpS,EAAE,cAAcA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEqS,GAAGrS,EAAE,QAAQ,UAAU,CAAC,OAAOqS,GAAGrS,EAAE,QAAQA,EAAE,IAAI,QAAQ,MAAM,KAAK,SAAS,CAAC,EAAEsS,GAAGtS,EAAE,MAAM,UAAU,CAAC,OAAOsS,GAAGtS,EAAE,MAAMA,EAAE,IAAI,MAAM,MAAM,KAAK,SAAS,CAAC,EAAEuS,GAAGvS,EAAE,kBAAkB,UAAU,CAAC,OAAOuS,GAAGvS,EAAE,kBAAkBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAEwS,GAAGxS,EAAE,UAAU,UAAU,CAAC,OAAOwS,GAAGxS,EAAE,UAAUA,EAAE,IAAI,WAAW,MAAM,KAAK,SAAS,CAAC,EAAEyS,GAAGzS,EAAE,aAAa,UAAU,CAAC,OAAOyS,GAAGzS,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAE0S,GAAG1S,EAAE,WAAW,UAAU,CAAC,OAAO0S,GAAG1S,EAAE,WAAWA,EAAE,IAAI,YAAY,MAAM,KAAK,SAAS,CAAC,EAAE2S,GAAG3S,EAAE,iBAAiB,UAAU,CAAC,OAAO2S,GAAG3S,EAAE,iBAAiBA,EAAE,IAAI,kBAAkB,MAAM,KAAK,SAAS,CAAC,EAAE4S,GAAG5S,EAAE,aAAa,UAAU,CAAC,OAAO4S,GAAG5S,EAAE,aAAaA,EAAE,IAAI,cAAc,MAAM,KAAK,SAAS,CAAC,EAAEA,EAAE,MAAMqL,GAAG,IAAIwH,GAAGxJ,GAAG,SAAS6J,GAAG,CAACL,IAAIC,GAAG,EAAED,KAAKxJ,GAAG6J,EAAE,EAAE,SAASJ,GAAGI,EAAE,CAAC,GAAGA,EAAEA,GAAGrR,EAAE6E,GAAG,IAAIG,GAAG,EAAEH,GAAG,GAAG,OAAO,SAASyM,IAAI,CAACN,KAAKA,GAAG,GAAG7S,EAAE,UAAU,GAAG,CAACgF,IAAImE,GAAG,EAAEjJ,EAAEF,CAAC,EAAEA,EAAE,sBAAsBA,EAAE,qBAAqB,EAAE8G,GAAG,GAAG,CAAC9G,EAAE,WAAWA,EAAE,UAAU,YAAY,EAAE,WAAW,UAAU,CAAC,WAAW,UAAU,CAACA,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,EAAEmT,GAAG,CAAC,EAAE,CAAC,GAAGA,GAAG,CAAC,CAAC,GAAGnT,EAAE,QAAQ,IAAI,OAAOA,EAAE,SAAS,aAAaA,EAAE,QAAQ,CAACA,EAAE,OAAO,GAAGA,EAAE,QAAQ,OAAO,GAAGA,EAAE,QAAQ,IAAI,EAAE,EAAE8S,GAAG,EAAE,IAAIC,GAAGpR,IAAIoR,GAAG,CAAC,kBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAASG,EAAE,CAAC,MAAM,CAACvR,EAAE,kBAAkB,QAAQuR,CAAC,EAAE,EAAE,CAAC,EAAE,mBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAASA,EAAE,CAAC,MAAM,CAACvR,EAAE,mBAAmB,QAAQuR,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIF,GAAG,GAAG,OAAOtS,GAAG,YAAYsS,GAAGtS,UAAU,OAAO,+BAA+B,YAAYsS,GAAG,kCAAmC,OAAM,IAAI,MAAM,uCAAuC,EAAE,GAAGD,GAAG,CAAC,IAAIE,GAAGD,GAAG,SAASA,GAAG,SAAS,UAAU,CAACC,GAAG,EAAEF,GAAG,kBAAkB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,oBAAoBA,CAAC,CAAC,CAAC,EAAEH,GAAG,mBAAmB,QAAQ,SAASG,EAAE,CAAC,QAAQ,eAAe,qBAAqBA,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOxS,EAAE,KAAK,CAAC,GAAG,EAAE,OAAOiW,GAAI,UAAU,OAAOC,GAAI,SAASA,EAAG,QAAQC,EAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAO,CAAC,EAAE,UAAU,CAAC,OAAOA,CAAE,CAAC,EAAE,OAAOF,GAAI,WAAWA,EAAG,kBAAkBE,EAAG,CAAC,EAAMj0B,GAAG,KAAK,CAAC,YAAY8d,EAAEV,EAAE,CAAC,KAAK,QAAQU,EAAE,KAAK,UAAUV,EAAE,KAAK,KAAK,IAAI,QAAQ,KAAK,aAAa,CAAC,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,GAAG,KAAK,UAAU,SAAS,KAAK,QAAQA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,IAAIA,EAAEV,EAAE,CAAC,KAAK,eAAe,KAAK,KAAK,IAAIU,EAAEV,CAAC,CAAC,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,eAAe,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,YAAY,CAAC,EAAElb,GAAG,KAAK,CAAC,SAASkb,EAAE,CAAC,OAAOoW,GAAG,UAAU,CAAC,CAAC,OAAOpW,EAAE,CAAC,OAAOoW,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,MAAM,EAAE,CAAC,KAAKpW,EAAE,CAAC,OAAOoW,GAAG,MAAM,CAAC,CAAC,KAAKpW,EAAE,CAAC,OAAOoW,GAAG,MAAM,CAAC,CAAC,SAASpW,EAAE,CAAC,OAAOoW,GAAG,UAAU,CAAC,CAAC,UAAUpW,EAAEV,EAAE,CAAC,OAAO8W,GAAG,WAAW,CAAC,CAAC,YAAY,CAAC,OAAOA,GAAG,YAAY,CAAC,CAAC,YAAYpW,EAAEV,EAAE,CAAC,OAAO8W,GAAG,aAAa,CAAC,CAAC,MAAMpW,EAAEV,EAAE,EAAE,CAAC,OAAO8W,GAAG,OAAO,CAAC,CAAC,KAAKpW,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAOmV,GAAG,MAAM,CAAC,CAAC,wBAAwBpW,EAAEV,EAAE,EAAE,CAAC,OAAO8W,GAAG,yBAAyB,CAAC,CAAC,QAAQ,CAAC,OAAOA,GAAG,QAAQ,CAAC,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAG,KAAK,IAAI,CAAC,SAAS,CAAC,OAAOA,GAAG,SAAS,CAAC,CAAC,EAAE,SAASA,GAAGhX,EAAE,CAAC,MAAM,IAAI,MAAM,IAAIA,2HAA2H,CAAC,CAAC,SAASiX,GAAGjX,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAOE,EAAE,EAAE,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,EAAE,EAAE,EAAE,IAAIgX,GAAGlX,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASiX,GAAGnX,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yEAAyEA,EAAE,iCAAiC,EAAE,QAAQ,EAAE,IAAIE,EAAEF,EAAE,OAAOI,EAAE,EAAE,KAAKF,EAAE,GAAGE,EAAE,KAAK,OAAO,EAAEF,EAAE,EAAEA,IAAIgX,GAAGlX,EAAEE,EAAEE,CAAC,EAAE8W,GAAG,EAAEhX,EAAEE,CAAC,CAAC,CAAC,SAASgX,GAAGpX,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,IAAIF,EAAE,KAAK,IAAI,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASmX,GAAGrX,EAAE,CAAC,OAAOA,EAAE,IAAI,EAAEA,EAAEA,EAAE,CAAC,CAAC,SAASkX,GAAGlX,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAEE,CAAC,EAAEF,EAAEE,CAAC,EAAEE,CAAC,CAAC,SAASkX,GAAGtX,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,CAAC,EAAE,OAAO,CAAC,CAAC,SAASqX,GAAGvX,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,OAAO,EAAEA,GAAG,EAAEA,GAAGF,CAAC,CAAC,SAASwX,GAAGxX,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAE,OAAOL,EAAEI,CAAC,CAAC,EAAE,OAAO,EAAEA,CAAC,CAAC,EAAEF,GAAGG,EAAEA,CAAC,CAAC,OAAOH,CAAC,CAAC,SAASuX,EAAEzX,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAI,MAAM,OAAO,GAAG,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS0X,GAAG1X,EAAE,EAAEE,EAAE,GAAG,CAACuX,EAAEE,GAAG3X,EAAE,CAAC,EAAE,IAAIE,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,SAAS4X,GAAG5X,EAAE,CAACyX,EAAEzX,GAAG,KAAK,IAAI,+DAA+D,CAAC,CAAC,SAAS6X,GAAG7X,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAO,GAAE,IAAI,EAAEA,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS4X,GAAG9X,EAAE,CAAC,OAAOA,EAAE,SAAS,CAAC,CAAC,SAAS2X,GAAG3X,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,GAAG,MAAM,GAAG,MAAMA,EAAE,SAAS,EAAE,OAAO,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,GAAGF,EAAEE,CAAC,IAAI,EAAEA,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAAS6X,GAAG/X,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASgY,GAAGhY,EAAE,CAAC,GAAG,KAAK,MAAM,KAAK,OAAO,KAAK,KAAKA,CAAC,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAO,GAAE,GAAGA,IAAI,GAAG,EAAE,MAAM,GAAG,CAAC,IAAI,EAAE,KAAK,IAAI,EAAEA,CAAC,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,CAAC,CAAC,SAASiY,GAAGjY,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,KAAK,KAAKA,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,SAASkY,GAAGlY,EAAE,CAAC,IAAI,EAAE,IAAI,YAAYA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,EAAEA,CAAC,EAAEA,EAAE,OAAO+W,GAAG,CAAC,EAAE,CAAC,CAAC,SAASkB,GAAGnY,EAAE,EAAE,CAAC,OAAO,GAAGA,EAAE,OAAOA,EAAEA,EAAE,IAAI,OAAO,EAAEA,EAAE,MAAM,CAAC,CAAC,SAASoY,GAAGpY,EAAE,EAAEK,GAAG,EAAEH,EAAEE,EAAE,CAAC,OAAO,IAAI,QAAQ,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,EAAE0B,EAAE,IAAI,CAAC,GAAG/B,EAAE,EAAE,CAACK,EAAE,EAAE,MAAM,CAAC,IAAI,IAAI2B,EAAE,EAAE,CAAC,EAAE,GAAG9B,GAAG,MAAM,GAAGA,EAAE,CAAC,EAAE,EAAE,MAAM,CAACE,GAAG,KAAKA,EAAE2B,EAAEC,CAAC,EAAE,WAAWD,EAAEC,CAAC,CAAC,EAAED,EAAE,CAAC,CAAC,CAAC,CAAC,SAASsW,GAAGrY,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEJ,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,CAAC,GAAG,EAAEE,GAAGF,EAAE,CAAC,UAAUA,EAAE,CAAC,IAAI,GAAG,CAAC,GAAGI,IAAI,GAAG,MAAM,MAAM,yDAAyDA,aAAa,GAAG,EAAEA,EAAE,CAAC,SAASJ,EAAE,CAAC,EAAE,EAAE,MAAM,MAAM,gCAAgCA,EAAE,CAAC,YAAY,GAAG,EAAE,GAAGI,IAAI,GAAG,CAAC,GAAG,EAAE,GAAG,IAAIF,EAAE,MAAM,MAAM,QAAQ,sCAAsCF,GAAG,EAAE,OAAOA,CAAC,CAAC,GAAGE,IAAI,EAAE,MAAM,MAAM,qCAAqCF,8BAA8B,EAAE,GAAG,EAAEE,IAAI,EAAE,MAAM,MAAM,wDAAwD,OAAOA,GAAG,EAAE,IAAIG,EAAEL,EAAE,MAAM,EAAE,OAAOK,EAAED,CAAC,EAAE,EAAEF,EAAEG,CAAC,CAAC,SAASiY,GAAGtY,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,OAAOF,EAAEA,GAAG,KAAK,EAAE,IAAI,CAACI,EAAEC,IAAIA,CAAC,EAAE,CAAC,EAAE,OAAOL,CAAC,EAAEyX,EAAEzX,EAAE,MAAMI,GAAGA,GAAG,CAACF,GAAGE,EAAEF,CAAC,EAAE,IAAI,+CAA+CA,MAAMA,mBAAmBF,GAAG,EAAEyX,EAAEzX,EAAE,MAAMI,GAAG2X,GAAG3X,CAAC,CAAC,EAAE,IAAI,0DAA0DJ,GAAG,EAAEA,EAAE,IAAII,GAAGA,EAAE,EAAEF,EAAEE,EAAEA,CAAC,CAAC,CAAC,SAASmY,GAAGvY,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEC,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,SAAS,EAAE,EAAE,GAAG,MAAMA,EAAE,KAAKiY,GAAG,EAAEtY,CAAC,EAAE,KAAK,EAAE,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE/B,EAAE,OAAO,EAAE+B,EAAE,CAAC,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,CAAC,IAAIA,GAAG/B,EAAE+B,CAAC,IAAI,EAAE,MAAM,IAAI,MAAM,sBAAsBA,oBAAoB/B,EAAE+B,CAAC,aAAa,GAAG,EAAE,CAAC,GAAG,MAAM,EAAE,CAAC,EAAEA,IAAI/B,EAAE+B,CAAC,IAAI,IAAI7B,EAAE,KAAKF,EAAE+B,CAAC,CAAC,EAAE3B,EAAE,KAAK2B,CAAC,GAAG,EAAE,CAAC,GAAGA,GAAG,GAAG,CAAC/B,EAAE+B,CAAC,IAAI,IAAI7B,EAAE,KAAKF,EAAE+B,CAAC,CAAC,EAAE3B,EAAE,KAAK2B,CAAC,EAAE,CAAC,MAAM,CAAC,SAAS7B,EAAE,SAASE,CAAC,CAAC,CAAC,SAASoY,GAAGxY,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAASuY,GAAGzY,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGF,GAAG,MAAMA,IAAI,UAAUE,EAAE,IAAI,aAAa,CAAC,UAAUF,IAAI,QAAQE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,OAAOE,EAAE,IAAI,WAAW,CAAC,UAAUF,IAAI,SAASE,EAAE,IAAI,MAAM,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,OAAOE,CAAC,CAAC,SAASwY,GAAG1Y,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAE,GAAG,MAAME,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,MAAM,MAAM,oBAAoB,6BAA6BA,IAAI,CAAC,CAAC,CAAC,SAASuY,GAAG3Y,EAAE,CAAC,OAAOA,IAAI,QAAQA,IAAI,aAAaA,IAAI,WAAWA,IAAI,SAASA,IAAI,QAAQ,CAAC,SAAS4Y,GAAG5Y,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,aAAa,IAAI,WAAWA,IAAI,aAAa,IAAI,SAASA,IAAI,WAAWA,IAAI,aAAa,IAAI,QAAQA,IAAI,OAAO,CAAC,SAAS6Y,GAAG7Y,EAAE,CAAC,GAAGA,IAAI,WAAWA,IAAI,QAAQ,MAAO,GAAE,GAAGA,IAAI,YAAY,MAAO,GAAE,GAAGA,IAAI,OAAO,MAAO,GAAE,MAAM,IAAI,MAAM,iBAAiBA,GAAG,CAAC,CAAC,SAAS8Y,GAAG9Y,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAO,GAAE,IAAI,EAAE,EAAE,OAAOA,EAAE,QAAQE,GAAG,GAAGA,EAAE,MAAM,EAAE,CAAC,CAAC,SAAS6Y,GAAG/Y,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,aAAa,MAAM,CAAC,SAASgZ,GAAGhZ,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAAC,SAASiZ,GAAGjZ,EAAE,CAAC,OAAO,OAAOA,GAAG,QAAQ,CAAC,SAASkZ,GAAGlZ,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEkZ,GAAGlZ,EAAE,CAAC,CAAC,EAAEA,aAAa,aAAa,UAAUA,aAAa,YAAYA,aAAa,YAAYA,aAAa,kBAAkB,QAAQiZ,GAAGjZ,CAAC,EAAE,UAAU+Y,GAAG/Y,CAAC,EAAE,SAASgZ,GAAGhZ,CAAC,EAAE,OAAO,SAAS,CAAC,SAASmZ,GAAGnZ,EAAE,CAAC,MAAM,CAAC,EAAEA,GAAGA,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAM,CAAC,SAASoZ,GAAGpZ,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,GAAGF,EAAEE,IAAI,EAAE,OAAOA,EAAE,OAAOF,CAAC,CAAC,SAASqZ,GAAGrZ,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAEF,EAAE,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAEF,EAAEE,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAEJ,EAAEI,EAAE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAASoZ,GAAGtZ,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,IAAI,MAAM,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,CAAC,GAAGD,EAAE,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAEF,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE+B,EAAE,EAAE,OAAO,CAACC,EAAEC,IAAID,EAAEC,CAAC,GAAG7B,EAAE,EAAE,GAAG,QAAQ4B,EAAE,EAAEA,EAAE,EAAEA,IAAI3B,EAAE2B,CAAC,EAAEsX,GAAGtZ,EAAEgC,EAAED,EAAE,EAAE7B,EAAEE,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,SAASkZ,GAAGvZ,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,EAAE,SAAS,EAAE,OAAO,EAAE,CAAC,EAAE,IAAII,EAAEJ,EAAE,OAAO,CAACK,EAAE,IAAIA,EAAE,CAAC,GAAGH,EAAE,EAAE,GAAG,GAAGE,IAAI,EAAE,MAAM,CAAC,EAAE,GAAGA,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,IAAIJ,oCAAoC,EAAE,SAASE,EAAE,wBAAwB,KAAK,EAAE,OAAOoZ,GAAG,EAAEtZ,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASsZ,GAAGxZ,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAOA,EAAE,GAAG,IAAI,UAAU,OAAOA,aAAa,aAAaA,EAAE,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOA,aAAa,WAAWA,EAAE,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,QAAQ,IAAI,SAAS,OAAO,WAAW,KAAK,IAAI,WAAWA,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAASyZ,GAAGzZ,EAAE,EAAE,CAAC,IAAIE,EAAEwZ,GAAG1Z,EAAE,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,CAAC,EAAE,EAAE,OAAOF,CAAC,CAAC,SAASwZ,GAAG1Z,EAAE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAAS2Z,GAAG3Z,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,CAACI,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,MAAM,IAAI,UAAU,OAAOkZ,GAAGvZ,EAAE,IAAI,aAAaE,CAAC,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOqZ,GAAGvZ,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,GAAG,IAAI,OAAO,OAAOqZ,GAAGvZ,EAAE,IAAI,WAAWE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAAS0Z,GAAG5Z,EAAE,CAACA,EAAE,QAAQ,GAAG,CAACyX,EAAE,OAAO,UAAU,CAAC,GAAG,GAAG,EAAE,IAAI,0EAA0EzX,KAAK,CAAC,CAAC,CAAC,CAAC,SAAS6Z,GAAG7Z,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAO,GAAE,GAAG,IAAI,EAAE,OAAOF,EAAE,CAAC,EAAE,IAAII,EAAEJ,EAAEA,EAAE,OAAO,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAE,EAAEK,EAAED,GAAGF,EAAEG,CAAC,EAAEL,EAAEK,CAAC,EAAE,OAAOD,CAAC,CAAC,SAAS0Z,GAAG9Z,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,CAAC,EAAE,GAAG,IAAI,EAAE,MAAM,CAACF,CAAC,EAAE,IAAII,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAE,EAAEC,EAAED,EAAEC,CAAC,EAAE,KAAK,MAAML,EAAEE,EAAEG,CAAC,CAAC,EAAEL,GAAGI,EAAEC,CAAC,EAAEH,EAAEG,CAAC,EAAE,OAAOD,EAAEA,EAAE,OAAO,CAAC,EAAEJ,EAAEI,CAAC,CAAC,SAAS2Z,GAAG/Z,EAAE,CAAC,OAAOA,GAAGA,EAAE,MAAM,OAAOA,EAAE,MAAM,UAAU,CAAC,IAAIga,GAAG,YAAYn2B,GAAG,KAAK,CAAC,YAAY+c,EAAE,CAAC,KAAK,OAAOA,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,eAAeqZ,GAAG,KAAK,iBAAiB,CAAC,CAAC,YAAYrZ,EAAEV,EAAE,CAAC,KAAK,UAAU,OAAOtO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoEgP,IAAI,GAAG,KAAK,aAAaA,EAAE,KAAK,SAASV,CAAC,CAAC,aAAaU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,aAAaU,CAAC,EAAE,CAAC,aAAaV,EAAE,QAAQ,CAAC,EAAE,KAAK,SAASU,CAAC,GAAG,KAAK,CAAC,IAAIP,EAAE,KAAK,SAASO,CAAC,EAAEhP,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,qCAAqCgP,MAAMP,IAAI,EAAE,KAAK,IAAIO,EAAEP,CAAC,CAAC,CAAC,CAAC,MAAM,SAASO,EAAE,CAAC,OAAOA,KAAK,KAAK,MAAM,KAAK,MAAMA,CAAC,GAAG,KAAK,MAAMA,CAAC,EAAE,MAAM,KAAK,aAAaA,CAAC,EAAE,KAAK,MAAMA,CAAC,EAAE,CAAC,IAAIA,EAAE,CAAC,GAAGA,KAAK,KAAK,MAAM,OAAO,KAAK,MAAMA,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAaU,CAAC,EAAE,GAAGmZ,GAAG7Z,CAAC,EAAE,MAAM,IAAI,MAAM,QAAQU,qEAAqE,EAAE,OAAO,KAAK,MAAMA,CAAC,EAAEV,EAAE,KAAK,MAAMU,CAAC,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,CAAC,CAAC,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,KAAK,CAAC,IAAIA,EAAEV,EAAE,CAAC,GAAG,KAAK,aAAaU,CAAC,GAAG,KAAK,MAAM,IAAI,MAAM,mBAAmBA,kCAAkC,EAAE,KAAK,MAAMA,CAAC,EAAEV,EAAE,KAAK,aAAaU,CAAC,EAAE,SAAS,MAAM,KAAK,aAAaA,CAAC,EAAE,QAAQV,CAAC,CAAC,CAAC,aAAaU,EAAE,CAAC,GAAG,KAAK,aAAaA,CAAC,GAAG,KAAK,MAAM,IAAI,MAAM,yBAAyBA,mCAAmC,EAAE,OAAO,KAAK,aAAaA,CAAC,EAAE,aAAa,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,MAAM,OAAO,OAAO,CAAC,EAAEA,CAAC,CAAC,CAAC,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,iBAAiB,CAAC,CAAC,kBAAkB,CAAC,GAAG,OAAO,KAAK,QAAQ,aAAa,OAAO,KAAK,OAAO,UAAU,aAAa,OAAO,KAAK,OAAO,SAAS,QAAQ,YAAY,OAAO,IAAIA,EAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM,EAAEoZ,MAAMpZ,GAAGA,EAAEoZ,EAAE,EAAE,MAAM,GAAG,EAAE,QAAQ5Z,GAAG,CAAC,GAAG,CAACC,EAAEwB,CAAC,EAAEzB,EAAE,MAAM,GAAG,EAAE,KAAK,SAASC,CAAC,EAAE6Z,GAAG7Z,EAAEwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASoY,GAAGja,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOA,EAAE,QAAQ,8BAA8B,CAACE,KAAKE,KAAK+Z,GAAG,EAAE/Z,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,CAAC,SAAS+Z,GAAGna,EAAE,EAAEE,EAAE,CAACF,EAAE,mBAAmB,CAAC,CAAC,EAAE,mBAAmBE,GAAG,EAAE,CAAC,CAAC,SAASga,GAAGla,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,YAAY,EAAE,IAAI,QAAQ,IAAI,QAAQ,OAAO,IAAI,OAAO,GAAG,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,oCAAoC,cAAcA,IAAI,CAAC,CAAC,SAASpO,GAAG,CAAC,OAAOpO,EAAE,CAAC,IAAIA,GAAG,KAAK,SAAS42B,GAAGpa,EAAE,CAACxc,GAAGwc,CAAC,CAAC,IAAIqa,GAAG,SAASC,IAAI,CAAC,GAAGD,IAAI,KAAK,CAAC,IAAIra,EAAE,GAAG,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,QAAQ,YAAYA,EAAE,eAAe,OAAO,SAAS,YAAYA,EAAE,gBAAgB,OAAO,MAAM,YAAYA,EAAE,SAAU,OAAM,IAAI,MAAM,gCAAgC,EAAEqa,GAAGra,CAAC,CAAC,OAAOqa,EAAE,CAAC,SAASE,IAAI,CAAC,IAAIva,EAAEsa,GAAG,EAAE,OAAOta,EAAE,YAAY,OAAOA,EAAE,WAAW,IAAI,KAAKA,EAAE,UAAU,CAAC,SAASwa,GAAGxa,EAAE,EAAE,CAAC,IAAIE,EAAEqa,GAAG,EAAE,GAAGra,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,CAAC,IAAII,EAAE,EAAE,EAAE,OAAOF,EAAE,IAAIF,EAAEI,CAAC,EAAEF,EAAE,IAAIF,CAAC,CAAC,CAAC,CAAC,IAAIlgB,GAAG,MAAMC,GAAG,OAAOC,GAAG,QAAQK,GAAG,MAAMC,GAAG,OAAOC,GAAG,MAAMC,GAAG,MAAMC,GAAG,SAASC,GAAG,SAASC,GAAG,OAAOC,GAAG,QAAQC,GAAG,OAAOE,GAAG,QAAQD,GAAG,QAAQE,GAAG,UAAUG,GAAG,cAAcF,GAAG,YAAYC,GAAG,gBAAgBG,GAAG,cAAcC,GAAG,iBAAiBC,GAAG,WAAWE,GAAG,cAAcD,GAAG,gBAAgBI,GAAG,OAAOC,GAAG,OAAOC,GAAG,cAAcC,GAAG,UAAUC,GAAG,aAAaC,GAAG,SAASC,GAAG,SAASC,GAAG,uBAAuBC,GAAG,sBAAsBC,GAAG,SAASC,GAAG,yBAAyBC,GAAG,wBAAwBC,GAAG,MAAMC,GAAG,OAAOE,GAAG,UAAUC,GAAG,SAASF,GAAG,gBAAgBK,GAAG,gBAAgBC,GAAG,eAAeC,GAAG,wBAAwBC,GAAG,sCAAsCC,GAAG,qCAAqCC,GAAG,OAAOC,GAAG,aAAaE,GAAG,0BAA0BD,GAAG,2BAA2B6F,GAAG,UAAUzF,GAAG,SAASC,GAAG,MAAMC,GAAG,UAAUG,GAAG,MAAMD,GAAG,QAAQE,GAAG,MAAMC,GAAG,aAAaC,GAAG,QAAQC,GAAG,MAAMC,GAAG,OAAOC,GAAG,gBAAgBC,GAAG,QAAQC,GAAG,WAAWE,GAAG,iBAAiBK,GAAG,WAAWD,GAAG,WAAWG,GAAG,UAAUC,GAAG,eAAeG,GAAG,WAAWD,GAAG,OAAOE,GAAG,OAAOE,GAAG,WAAWC,GAAG,QAAQC,GAAG,QAAQM,GAAG,YAAYC,GAAG,OAAOC,GAAG,YAAYC,GAAG,WAAWC,GAAG,MAAMC,GAAG,QAAQE,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,aAAaJ,GAAG,aAAaK,GAAI,aAAaf,GAAG,MAAMC,GAAG,UAAUgB,GAAG,MAAMM,GAAG,UAAUL,GAAG,UAAUG,GAAG,cAAcF,GAAG,YAAYC,GAAG,gBAAgBE,GAAG,oBAAoBE,GAAG,OAAOC,GAAG,MAAMC,GAAG,UAAUC,GAAG,YAAYC,GAAG,MAAME,GAAG,cAAcC,GAAG,WAAWC,GAAG,MAAMI,GAAG,WAAWH,GAAG,sBAAsBC,GAAG,sBAAsBC,GAAG,sBAAsBI,GAAG,WAAWD,GAAG,SAASI,GAAG,OAAOC,GAAG,QAAQC,GAAI,OAAOC,GAAG,MAAMC,GAAG,QAAQC,GAAG,OAAOG,GAAG,eAAeC,GAAG,cAAcC,GAAG,uBAAuBC,GAAG,QAAQE,GAAG,OAAOE,GAAG,aAAaE,GAAG,OAAOE,GAAG,UAAUG,GAAG,wBAAwBC,GAAG,4BAA4BH,GAAG,iBAAiBC,GAAG,qBAAqBH,GAAG,QAAQM,GAAG,UAAUE,GAAG,QAAQC,GAAG,QAAQE,GAAG,YAAYC,GAAG,eAAeC,GAAG,SAASC,GAAG,OAAOM,GAAG,QAAQF,GAAG,MAAMC,GAAG,OAAOF,GAAG,OAAOD,GAAG,UAAUM,GAAG,WAAWQ,GAAG,OAAOS,GAAG,MAAMhB,GAAG,iBAAiBM,GAAG,SAASR,GAAG,UAAUG,GAAG,sBAAsBC,GAAG,gBAAgBC,GAAG,oBAAoBC,GAAG,mBAAmBC,GAAG,gBAAgBI,GAAG,oBAAoBD,GAAG,SAASG,GAAG,eAAeC,GAAG,eAAeC,GAAG,cAAcC,GAAG,yBAAyBC,GAAG,MAAMG,GAAG,MAAMC,GAAG,OAAOG,GAAG,OAAOC,GAAG,OAAOC,GAAG,YAAYC,GAAG,YAAYC,GAAG,SAASC,GAAG,SAASC,GAAG,qBAAqBC,GAAI,aAAaE,GAAG,YAAYrB,GAAG,OAAOhH,GAAG,aAAasF,GAAG,mBAAmBgD,GAAG,eAAepI,GAAG,cAAcC,GAAG,uBAAuB,SAAS81B,MAAMza,EAAE,CAACpO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,KAAK,GAAGoO,CAAC,CAAC,CAAC,SAAS0a,MAAM1a,EAAE,CAACpO,EAAE,EAAE,QAAQ,SAAS,GAAGA,EAAE,EAAE,QAAQ,MAAM,GAAG,QAAQ,IAAI,GAAGoO,CAAC,CAAC,CAAC,IAAI2a,GAAGH,GAAG,iBAAiB,IAAI,IAAI,GAAG,EAAEI,GAAGJ,GAAG,eAAe,IAAI,IAAI,GAAG,EAAE,SAASvnB,GAAG+M,EAAE,EAAE,CAAC,IAAIE,EAAE2a,GAAG7a,EAAE,CAAC,EAAE,OAAO2a,GAAG,IAAIza,CAAC,CAAC,CAAC,SAASlN,GAAGgN,EAAE,CAAC,OAAO4a,GAAG,IAAI5a,CAAC,CAAC,CAAC,SAAS9M,GAAG8M,EAAE,CAAC,IAAI,EAAE2a,GAAG,QAAQ,EAAEza,EAAE,CAAC,EAAE,OAAO,CAAC,GAAG,CAAC,KAAKE,EAAE,MAAMC,CAAC,EAAE,EAAE,KAAK,EAAE,GAAGD,EAAE,MAAM,GAAG,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC0B,CAAC,EAAE,EAAE,MAAM,GAAG,EAAEA,IAAI/B,GAAGE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS9G,GAAG4G,EAAE,CAAC,GAAG,CAAC,WAAW,EAAE,YAAYE,CAAC,EAAEF,EAAEI,EAAEya,GAAG,EAAE3a,CAAC,EAAEya,GAAG,IAAIva,CAAC,GAAGqa,GAAG,eAAe,mBAAmBva,0BAA0B,EAAEya,GAAG,IAAIva,EAAEJ,CAAC,CAAC,CAAC,SAAS7G,GAAG6G,EAAE,CAAC,GAAG,CAAC,WAAW,CAAC,EAAEA,EAAE4a,GAAG,IAAI,CAAC,GAAGhpB,EAAE,EAAE,QAAQ,OAAO,GAAG6oB,GAAG,gCAAgC,IAAI,EAAEG,GAAG,IAAI,EAAE5a,CAAC,CAAC,CAAC,SAAS7B,GAAI6B,EAAE,EAAE,CAAC,IAAIE,EAAE2a,GAAG7a,EAAE,CAAC,EAAE,GAAG,CAAC2a,GAAG,IAAIza,CAAC,EAAE,MAAM,IAAI,MAAM,eAAeF,mBAAmB,sBAAsB,EAAE2a,GAAG,OAAOza,CAAC,CAAC,CAAC,SAAShC,GAAI8B,EAAE,CAAC,GAAG,CAAC4a,GAAG,IAAI5a,CAAC,EAAE,MAAM,IAAI,MAAM,iBAAiBA,kCAAkC,EAAE4a,GAAG,OAAO5a,CAAC,CAAC,CAAC,SAASjQ,GAAIiQ,EAAE,EAAE,CAAC9M,GAAG8M,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAIK,EAAE,OAAO,OAAO,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,CAAC,EAAEjH,GAAGiH,CAAC,CAAC,CAAC,CAAC,CAAC,SAASwa,GAAG7a,EAAE,EAAE,CAAC,MAAM,GAAG,KAAKA,GAAG,CAAC,IAAIxB,EAAE,CAAC,EAAEyB,GAAGzB,EAAE,CAAC,YAAY,IAAImZ,GAAG,OAAO,IAAIF,EAAE,mCAAmC,IAAImC,GAAG,cAAc,IAAIhC,GAAG,kBAAkB,IAAIF,GAAG,qBAAqB,IAAIoB,GAAG,gBAAgB,IAAID,GAAG,yBAAyB,IAAIH,GAAG,MAAM,IAAItB,GAAG,eAAe,IAAIiC,GAAG,mCAAmC,IAAIG,GAAG,kBAAkB,IAAIsB,GAAG,sBAAsB,IAAI5C,GAAG,aAAa,IAAI6C,GAAG,YAAY,IAAIvD,GAAG,aAAa,IAAIwD,GAAG,MAAM,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,kBAAkB,IAAI1C,GAAG,uBAAuB,IAAID,GAAG,gBAAgB,IAAII,GAAG,UAAU,IAAIwC,GAAG,WAAW,IAAItB,GAAG,WAAW,IAAIZ,GAAG,uBAAuB,IAAIb,GAAG,UAAU,IAAIW,GAAG,WAAW,IAAIG,GAAG,MAAM,IAAIpB,GAAG,SAAS,IAAIkB,GAAG,UAAU,IAAIc,GAAG,cAAc,IAAIjC,GAAG,SAAS,IAAIiB,GAAG,aAAa,IAAIsC,GAAG,aAAa,IAAI1C,GAAG,WAAW,IAAIkB,GAAG,mBAAmB,IAAIJ,GAAG,0BAA0B,IAAIE,GAAG,oBAAoB,IAAID,GAAG,eAAe,IAAIN,GAAG,kBAAkB,IAAI/B,GAAG,IAAI,IAAIiE,GAAG,eAAe,IAAIhD,GAAG,YAAY,IAAIf,GAAG,YAAY,IAAIa,GAAG,SAAS,IAAID,GAAG,QAAQ,IAAIlB,GAAG,aAAa,IAAIE,GAAG,cAAc,IAAIU,GAAG,oBAAoB,IAAII,GAAG,aAAa,IAAIM,GAAG,IAAI,IAAIjB,GAAG,KAAK,IAAIJ,GAAG,KAAK,IAAIc,GAAG,cAAc,IAAIuB,GAAG,aAAa,IAAIgC,EAAE,CAAC,EAAE,IAAIC,GAAGlb,GAAGC,GAAG,CAAC,EAAMkb,GAAGD,GAAG,SAASA,GAAG,SAASJ,GAAGpb,EAAE,CAAC,OAAOyb,GAAG,WAAWzb,EAAE,GAAG,EAAE,CAAC,CAAC,IAAI0b,GAAGN,GAAG,kBAAkB,EAAEO,GAAGP,GAAG,kBAAkB,EAAEQ,GAAGR,GAAG,kBAAkB,EAAE,SAASS,GAAG7b,EAAE,CAAC,OAAOA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS8b,GAAG9b,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,EAAE,EAAEE,CAAC,EAAE,OAAOub,GAAG,UAAU,MAAM,KAAKrb,CAAC,EAAE,GAAG,EAAE,CAAC,CAAC,SAAS2b,GAAG/b,EAAE,EAAE,CAAC,OAAO8b,GAAG9b,EAAE,EAAE,CAAC,CAAC,CAAC,SAASgc,GAAGhc,EAAE,EAAE,CAAC,OAAO8b,GAAG9b,EAAE,EAAE,CAAC,CAAC,CAAC,SAASic,GAAGjc,EAAE,EAAE,CAAC,OAAO,IAAI,EAAEA,EAAEA,EAAE,KAAK,CAAC,EAAE,GAAGA,EAAE,IAAI,GAAG,CAAC,CAAC,CAAC,CAAC,SAASkc,GAAGlc,EAAE,EAAEE,EAAEkb,GAAG,kBAAkB,EAAE,CAAC,IAAIhb,EAAEJ,EAAE,IAAI,CAAC,EAAE,IAAIE,CAAC,EAAEE,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIC,EAAE,EAAE,IAAID,CAAC,EAAE,IAAIF,CAAC,EAAE,OAAOG,EAAEA,EAAE,IAAIA,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAEA,EAAE,IAAIH,CAAC,EAAEG,CAAC,CAAC,SAAS8b,GAAGnc,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACA,EAAEA,EAAE,IAAIL,CAAC,EAAE,EAAEic,GAAG,EAAE,IAAI5b,CAAC,EAAE,IAAID,CAAC,EAAE,EAAE,EAAE,IAAI,EAAEC,EAAE,OAAOA,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAEA,EAAE,IAAIH,CAAC,EAAE,EAAE,EAAE,IAAI+b,GAAG5b,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,IAAID,CAAC,EAAE,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,SAASgc,GAAGpc,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO+b,GAAGJ,GAAG/b,EAAE,CAAC,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE+b,GAAG/b,EAAE,EAAE,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASic,GAAGrc,EAAE,EAAEA,EAAE,OAAO,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI4b,EAAE,EAAEvb,EAAE0b,GAAG/b,EAAE,EAAE,CAAC,EAAE,EAAEic,GAAG5b,EAAE,EAAE,EAAE,IAAIH,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG7b,EAAE,EAAE,EAAE,IAAIC,CAAC,EAAE,IAAIH,CAAC,EAAE,OAAOgc,GAAG,EAAE,EAAEhc,CAAC,CAAC,CAAC,GAAG,GAAG,EAAE,CAAC,IAAIA,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE4b,GAAGhc,EAAE,CAAC,EAAE,OAAOkc,GAAG9b,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAE4b,GAAGhc,EAAE,EAAE,CAAC,EAAEE,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAIA,EAAEF,EAAE,CAAC,EAAEI,EAAEJ,EAAE,GAAG,CAAC,EAAEK,EAAEL,EAAE,EAAE,CAAC,EAAE,EAAEE,GAAGE,GAAG,GAAG,EAAE,GAAGC,GAAG,GAAG,OAAOwb,GAAGD,GAAG,IAAI,CAAC,EAAE,IAAIF,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAIE,EAAE,CAAC,CAAC,OAAOA,EAAE,CAAC,SAASU,GAAGtc,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI2b,EAAE,EAAEtb,EAAE0b,GAAG/b,EAAE,CAAC,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG/b,EAAE,EAAE,EAAE,EAAE,IAAI4b,EAAE,EAAE,OAAOM,GAAGD,GAAG7b,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAI4b,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE7b,EAAE,IAAI6b,GAAG5b,EAAE,IAAIub,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE1b,CAAC,CAAC,CAAC,SAASqc,GAAGvc,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAE0b,GAAG,IAAI,EAAE,CAAC,EAAExb,EAAE2b,GAAG/b,EAAE,CAAC,EAAE,IAAI4b,EAAE,EAAEvb,EAAE0b,GAAG/b,EAAE,CAAC,EAAE,EAAE+b,GAAG/b,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,EAAE6b,GAAG/b,EAAE,EAAE,EAAE,EAAE,IAAI4b,EAAE,EAAE7Z,EAAEka,GAAG7b,EAAE,IAAIC,CAAC,EAAE,EAAE,EAAE,IAAI4b,GAAG,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEja,EAAEka,GAAGna,EAAE3B,EAAE,IAAI6b,GAAG5b,EAAE,IAAIub,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE1b,CAAC,EAAE+B,EAAE8Z,GAAG/b,EAAE,EAAE,EAAE,IAAIE,CAAC,EAAEwC,EAAEqZ,GAAG/b,EAAE,EAAE,EAAE2C,EAAEZ,EAAE,IAAIga,GAAG/b,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE0C,EAAEZ,EAAE,IAAI+Z,GAAG/b,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIE,CAAC,EAAE,OAAOgc,GAAGD,GAAGha,EAAE,IAAIS,CAAC,EAAE,EAAE,EAAE,IAAIuZ,GAAGtZ,EAAE,EAAE,CAAC,EAAE,IAAIC,CAAC,EAAEX,EAAE,IAAIga,GAAGvZ,EAAE,IAAItC,CAAC,EAAE,EAAE,CAAC,EAAE,IAAIuC,CAAC,EAAEzC,CAAC,CAAC,CAAC,SAASgb,GAAGlb,EAAE,EAAEA,EAAE,OAAO,CAAC,IAAIE,EAAEub,GAAG,WAAW,GAAG,EAAE,EAAE,GAAG,GAAG,GAAG,OAAO,GAAG,GAAGY,GAAGrc,EAAE,CAAC,EAAEsc,GAAGtc,EAAE,CAAC,EAAE,GAAG,GAAG,GAAG,OAAOuc,GAAGvc,EAAE,CAAC,EAAE,IAAII,EAAEF,EAAEG,EAAEH,EAAE,IAAIyb,EAAE,EAAE,IAAI,GAAG,EAAE,EAAEE,GAAGxb,EAAE,IAAIub,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAE,CAACH,GAAG,MAAMA,GAAG,KAAK,EAAE1Z,EAAE,CAAC0Z,GAAG,MAAMA,GAAG,KAAK,EAAErb,EAAEA,EAAE,IAAIwb,EAAE,EAAE,IAAIG,GAAG/b,EAAE,CAAC,CAAC,EAAE,IAAIgC,EAAE,EAAEC,GAAG,EAAE,GAAG,GAAG,GAAGS,EAAET,GAAG,EAAE,EAAE,IAAI,GAAG,GAAG7B,EAAE6b,GAAG7b,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAI2Z,EAAE,EAAEtb,EAAE4b,GAAG5b,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI2Z,EAAE,EAAEvb,EAAEA,EAAE,IAAI2B,EAAE,CAAC,CAAC,EAAE1B,EAAEA,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAEia,GAAG,EAAE,IAAIla,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAI4Z,EAAE,EAAE,EAAES,GAAGpc,EAAEgC,EAAE,EAAE,CAAC,EAAE,IAAI2Z,EAAE,EAAEvb,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAEA,EAAEqa,GAAGpc,EAAEgC,EAAE,GAAG,EAAE,IAAID,EAAE,CAAC,CAAC,EAAE1B,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE4B,GAAG,SAASA,IAAIC,GAAG,IAAIU,EAAEgZ,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC,EAAE,OAAO3Z,EAAEU,EAAEX,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,IAAIA,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE3B,EAAE6b,GAAG7b,EAAE,IAAIC,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEtC,EAAE4b,GAAG5b,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAIW,CAAC,EAAEvC,EAAEA,EAAE,IAAI2B,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,EAAE1B,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAEia,GAAG,EAAE,IAAIla,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,IAAIY,CAAC,EAAE,EAAEyZ,GAAGpc,EAAEgC,EAAE,EAAE,CAAC,EAAE,IAAIW,CAAC,EAAEvC,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAEA,EAAEqa,GAAGpc,EAAEgC,EAAE,GAAG,EAAE,IAAID,EAAE,CAAC,CAAC,EAAE1B,EAAE,IAAI0b,GAAG/b,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE5B,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE8b,GAAGA,GAAG,EAAE,CAAC,EAAEna,EAAE,CAAC,EAAEY,CAAC,EAAE,IAAIkZ,GAAGxb,CAAC,EAAE,IAAIqb,EAAE,CAAC,EAAE,IAAI,CAAC,EAAEQ,GAAG,EAAE,CAAC,EAAEna,EAAE,CAAC,EAAEY,CAAC,EAAE,IAAIvC,CAAC,EAAEuC,CAAC,CAAC,CAAC,SAASmY,GAAG9a,EAAE,EAAE,CAAC,OAAO,IAAI,SAASgb,GAAGhb,CAAC,EAAEub,GAAG,CAACvb,CAAC,EAAE,CAAC,CAAC,CAAC,SAASwc,GAAGxc,EAAE,EAAE,CAAC,OAAOA,aAAa,cAAc,IAAI,WAAWA,aAAa,YAAY,IAAI,SAASA,aAAa,YAAY,IAAI,MAAM,CAAC,SAASub,GAAGvb,EAAE,EAAE,CAAC,GAAG,IAAI,SAAS,MAAM,IAAI,MAAM,2CAA2C,EAAE,GAAG,MAAM,QAAQA,CAAC,IAAIA,EAAEmb,GAAGnb,CAAC,GAAGpO,EAAE,EAAE,QAAQ,OAAO,GAAG8mB,GAAG1Y,EAAE,CAAC,EAAEwc,GAAGxc,EAAE,CAAC,EAAE,OAAOA,EAAE,GAAG,GAAG,MAAM,IAAI,WAAW,IAAI,YAAY,OAAO,IAAI,aAAaA,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,KAAK,MAAMJ,EAAEI,CAAC,CAAC,IAAI,IAAIF,EAAEE,CAAC,EAAE,GAAG,OAAOF,CAAC,KAAM,OAAM,IAAI,MAAM,qBAAqB,GAAG,CAAC,CAAC,SAASob,IAAI,CAAC,OAAO1pB,EAAE,EAAE,SAAS,IAAI,CAAC,CAAC,SAASqpB,GAAGjb,EAAE,EAAE,CAAC,OAAOpO,EAAE,EAAE,SAAS,MAAMoO,EAAE,CAAC,CAAC,CAAC,SAASgb,GAAGhb,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQpO,EAAE,EAAE,SAAS,OAAOoO,EAAE,CAAC,CAAC,CAAC,SAAS+a,GAAG/a,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,GAAG,QAAQpO,EAAE,EAAE,SAAS,OAAOoO,EAAE,CAAC,CAAC,CAAC,SAASqb,GAAGrb,EAAE,CAAC,OAAOpO,EAAE,EAAE,SAAS,aAAaoO,CAAC,CAAC,CAAC,SAASmb,GAAGnb,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOF,GAAG,WAAW,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU+Z,GAAG/Z,CAAC,GAAGA,GAAG,MAAMqb,GAAGrb,CAAC,GAAGE,EAAE,EAAE,KAAKF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAGqb,GAAGrb,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE+a,GAAGnb,EAAEI,CAAC,EAAE,EAAEF,CAAC,MAAM,CAAC,IAAIE,EAAE,GAAG,QAAQC,KAAK,OAAO,KAAKL,CAAC,EAAE,qBAAqB,KAAKK,CAAC,IAAID,EAAE,KAAK,IAAIA,EAAE,OAAOC,CAAC,CAAC,GAAG,QAAQA,EAAE,EAAEA,GAAGD,EAAEC,IAAI8a,GAAGnb,EAAEK,CAAC,EAAE,EAAEH,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIuc,GAAG,KAAK,CAAC,YAAY7b,EAAEV,EAAE,CAAC,KAAK,aAAaU,EAAE,KAAK,OAAOV,EAAEA,GAAG,OAAO,KAAK,OAAO,IAAIwc,GAAG,CAAC,cAAc9b,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEwB,EAAE,IAAI,CAACxB,EAAE,EAAE,CAAC,EAAEyB,EAAEC,EAAEuZ,GAAG,EAAE,GAAG,KAAK,aAAa,eAAe,EAAExZ,EAAE,KAAK,aAAa,KAAKD,CAAC,MAAM,CAACA,EAAE,EAAE,QAAQI,KAAK5B,EAAE4B,EAAE,SAAS,EAAEH,EAAE,QAAQ,QAAQ,CAAC,SAASwZ,GAAG,EAAEvZ,CAAC,CAAC,CAAC,CAAC,GAAGnQ,EAAE,EAAE,QAAQ,8BAA8B,EAAE,QAAQqQ,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIS,EAAErC,EAAE4B,CAAC,EAAES,EAAE,KAAK,EAAE,KAAKC,GAAG,CAACga,GAAGha,EAAED,EAAE,MAAM9B,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,WAAWA,EAAE,QAAQP,EAAE,OAAOH,EAAE,OAAO4B,EAAE,KAAKG,GAAGA,EAAE,QAAQ,EAAE,UAAUH,EAAE,KAAKG,GAAGA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,EAAE,EAAE,CAAC,CAAC,CAAC,iBAAiBrB,EAAE,CAAC,GAAG,CAAC,WAAWV,EAAE,QAAQ,EAAE,OAAOG,EAAE,OAAOwB,EAAE,UAAUC,CAAC,EAAElB,EAAE,EAAE,QAAQmB,GAAG,CAAC,QAAQ,IAAI,CAACA,EAAE,KAAK,EAAE1B,EAAEyB,CAAC,CAAC,EAAE,KAAKE,GAAG,CAAC,KAAK,OAAO,iBAAiB9B,EAAE6B,EAAEC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEH,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2a,GAAG3c,EAAE,EAAEE,EAAE,CAAC,GAAG,IAAI,UAAU,MAAM,GAAG,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAEL,EAAEI,CAAC,EAAE,GAAG,MAAMC,CAAC,GAAG,CAAC,SAASA,CAAC,EAAE,OAAO,QAAQ,KAAK,SAASA,uBAAuBH,IAAI,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,IAAIwc,GAAG,KAAK,CAAC,iBAAiB9b,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,OAAO1B,GAAG,SAAS8X,GAAG,GAAG9X,MAAM,CAAC,EAAEA,EAAE,MAAM2B,EAAEmW,GAAGvX,EAAE,EAAE,EAAE,EAAEV,EAAE,KAAKwC,EAAExC,EAAE,KAAK,EAAEiY,GAAGjY,EAAE,MAAM,SAAS,EAAE,EAAE,EAAE0C,EAAE,GAAG,QAAQC,KAAKhB,EAAE,CAAC,IAAIiB,EAAEjB,EAAEgB,CAAC,EAAE,GAAGC,GAAG,KAAK,CAAC,IAAIkB,EAAElB,EAAE,OAAO5C,EAAE,MAAM+D,EAAED,EAAE,OAAOpB,GAAG,GAAGC,MAAMoB,MAAMA,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,QAAQ,IAAI,KAAKhC,OAAOD,OAAO,MAAM,OAAOW,OAAOE,OAAOd,IAAI,mBAAmB,YAAY,aAAa,gBAAgB,eAAe,kBAAkB,CAAC,CAAC,EAAE,SAAS8a,GAAG5c,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI5B,EAAE,EAAE4B,CAAC,EAAE,EAAE,EAAE,GAAG,QAAQA,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,CAAC,EAAEU,EAAET,EAAE,OAAO,QAAQU,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,CAAC,EAAEE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG1C,EAAEwC,EAAE,EAAE,EAAE,CAACX,EAAE,QAAQ,QAAQ+B,GAAG5D,EAAE4D,EAAE,EAAE,EAAE,EAAE,EAAEnB,EAAE,GAAGxC,EAAE4B,EAAE,EAAE,EAAE,GAAG,KAAK,CAAC,GAAGY,EAAE,KAAK,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE3C,EAAE,EAAE,EAAE,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQ8B,EAAEhC,EAAE,OAAO,EAAEgC,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,CAAC,EAAEU,EAAET,EAAE,OAAO,QAAQU,EAAE,EAAEA,EAAEV,EAAE,QAAQ,OAAOU,IAAI,GAAG,EAAEV,EAAE,QAAQU,CAAC,EAAE,EAAE,EAAE,CAAC,QAAQC,KAAKF,EAAE,EAAEA,EAAEE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAEX,EAAE,EAAE,EAAE,GAAG,KAAK,CAAC,CAAC,IAAIF,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,CAAC,EAAE,GAAG3B,EAAE4B,EAAE,EAAE,GAAG,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAIS,EAAE,CAAC,EAAE,QAAQE,KAAKX,EAAE,OAAO,CAAC,IAAIY,EAAEZ,EAAE,OAAOW,CAAC,EAAExC,EAAEyC,EAAE,EAAE,IAAIH,EAAEE,CAAC,EAAEC,EAAE,CAAC,IAAIF,EAAE,OAAO,OAAO,CAAC,EAAEV,CAAC,EAAEU,EAAE,OAAOD,EAAEC,EAAE,QAAQV,EAAE,QAAQF,EAAE,KAAKY,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS8a,GAAG7c,EAAE,EAAEE,EAAEE,EAAE,CAAC,QAAQC,EAAE,EAAE,OAAO,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,QAAQ2B,GAAG,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,EAAE,EAAEC,GAAG,KAAK,EAAE,KAAKA,CAAC,EAAE,EAAE,KAAK,IAAI,CAAC,CAAC,EAAE,EAAE,UAAU,KAAK,MAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa,EAAE,IAAIF,EAAE,EAAE,SAAS,CAAC,EAAE,QAAQC,KAAK,EAAE,OAAO,CAAC,GAAG,EAAEA,KAAKD,GAAG,MAAM,IAAI,MAAM,iCAAiCC,iCAAiC,OAAO,KAAKD,CAAC,IAAI,EAAE,IAAIE,EAAE/B,EAAE,IAAI6B,EAAEC,CAAC,EAAE,CAAC,EAAE,GAAGC,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqCD,yCAAyCC,EAAE,QAAQ,EAAE,IAAIS,EAAE,EAAE,OAAOV,CAAC,EAAE,GAAG,CAAC2V,GAAG1V,EAAE,MAAMS,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsCV,iBAAiBC,EAAE,wDAAwDS,EAAE,QAAQ,EAAE,GAAG1C,EAAE0C,EAAE,EAAE,GAAG,KAAK1C,EAAE0C,EAAE,EAAE,EAAET,MAAM,CAAC,IAAIU,EAAE3C,EAAE0C,EAAE,EAAE,EAAE1C,EAAE0C,EAAE,EAAE,EAAEtC,EAAEuC,EAAEV,CAAC,EAAEU,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIma,GAAG,GAAGC,GAAG,EAAEC,GAAG,EAAE,SAASC,GAAGjd,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEgZ,GAAG,CAAC,EAAE,EAAE6D,GAAGld,EAAE,EAAEE,EAAEG,CAAC,EAAE,EAAE,EAAE,OAAO0B,EAAEob,GAAGnd,EAAE,EAAEE,EAAEG,EAAE,CAAC,EAAE2B,EAAE,CAAC,QAAQ,EAAE,OAAO5B,IAAI4B,EAAE,KAAK,YAAY9B,GAAG,EAAE8B,EAAE,KAAK,WAAW,GAAG,EAAEA,EAAE,KAAK,aAAa,IAAI,EAAEA,EAAE,KAAK,WAAW,GAAGA,EAAE,KAAKD,EAAE,IAAIE,GAAG,OAAOA,CAAC,EAAE,KAAK;AAAA,CACz11C,CAAC,EAAED,EAAE,KAAK;AAAA,CACV,CAAC,CAAC,SAASkb,GAAGld,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEwX,GAAG,CAAC,EAAE,EAAEzX,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAE9B,IAAI,YAAYkd,GAAGpd,CAAC,EAAEA,EAAE,GAAG+B,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAEA,IAAI,EAAEA,CAAC,EAAE,KAAK,IAAI,EAAEA,CAAC,EAAE0a,GAAGrb,EAAEU,EAAEC,CAAC,EAAE,EAAEzC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,SAASmd,GAAGrd,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,OAAO,MAAM,QAAQJ,CAAC,EAAEI,EAAE,GAAG,WAAWJ,EAAE,CAAC,EAAE,QAAQgd,EAAE,CAAC,OAAO,WAAWhd,EAAE,CAAC,EAAE,QAAQgd,EAAE,CAAC,KAAKjE,GAAG/Y,CAAC,EAAEI,EAAE,IAAIJ,KAAKE,IAAI,OAAOE,EAAEkd,GAAGtd,CAAC,EAAEI,EAAE,WAAWJ,EAAE,QAAQgd,EAAE,CAAC,EAAE,SAAS,EAAE7E,GAAG/X,EAAE,CAAC,CAAC,CAAC,SAASkd,GAAGtd,EAAE,CAAC,OAAOA,IAAI,EAAE,QAAQ,MAAM,CAAC,SAASmd,GAAGnd,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,CAAC,IAAI,EAAEH,IAAI,YAAY,EAAE,EAAE6B,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAO,GAAGA,IAAI,EAAE,CAAC,GAAG9B,IAAI,YAAY,CAAC,IAAI8D,EAAEoZ,GAAGpd,CAAC,EAAE,MAAM,CAACqd,GAAGrZ,EAAE,CAAC,EAAE,EAAE9D,CAAC,CAAC,CAAC,CAAC,OAAOA,IAAI,OAAO,CAACod,GAAGtd,EAAE,CAAC,CAAC,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,GAAGgC,IAAI,EAAE,CAAC,GAAGD,EAAE+a,GAAG,CAAC,IAAI7Y,EAAE8Y,GAAG,EAAEzV,EAAE,MAAM,KAAKtH,EAAE,MAAM,EAAEiE,CAAC,CAAC,EAAEa,EAAE,MAAM,KAAK9E,EAAE,OAAO+B,EAAEgb,IAAI,EAAEhb,EAAE,CAAC,CAAC,EAAE,OAAO7B,IAAI,cAAcoH,EAAE8V,GAAG9V,CAAC,EAAExC,EAAEsY,GAAGtY,CAAC,GAAG,CAAC,IAAIwC,EAAE,IAAI,CAAC7C,EAAEC,IAAI2Y,GAAG5Y,EAAEpE,EAAEqE,CAAC,EAAExE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,UAAU4E,EAAE,IAAI,CAACL,EAAEC,IAAI2Y,GAAG5Y,EAAEpE,EAAE0B,EAAEgb,GAAGrY,CAAC,EAAExE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,MAAM,CAAC,KAAKA,IAAI,YAAYkd,GAAGpd,CAAC,EAAE,MAAM,KAAKA,CAAC,GAAG,IAAI,CAACiE,EAAEqD,IAAI+V,GAAGpZ,EAAE5D,EAAEiH,CAAC,EAAEpH,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,GAAG,CAAC,CAAC,IAAI+B,EAAE,EAAE,MAAM,CAAC,EAAES,EAAEtC,EAAE,MAAM,CAAC,EAAEuC,EAAEvC,EAAE,CAAC,EAAE,EAAEwC,EAAE,CAAC,EAAE,GAAGb,EAAE+a,GAAG,CAAC,QAAQ9Y,EAAE,EAAEA,EAAE+Y,GAAG/Y,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE,EAAE,CAAC,CAAC,CAACuC,EAAE,KAAK,KAAK,EAAE,QAAQoB,EAAEjC,EAAEgb,GAAG/Y,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAM,SAAQiC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAI,EAAEA,EAAErB,EAAE2E,EAAE,EAAE3E,EAAEC,EAAE,KAAK,GAAGua,GAAGnd,EAAE,MAAM,EAAEsH,CAAC,EAAErF,EAAE/B,EAAEwC,EAAErC,EAAE2D,IAAIjC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIc,EAAEb,IAAI,EAAE,IAAI,GAAGY,EAAE,CAAC,EAAE,KAAKb,EAAE,EAAEa,EAAE,CAAC,EAAEC,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,IAAIpB,EAAEoB,CAAC,EAAE,IAAIpB,EAAEoB,CAAC,EAAEnB,EAAE,IAAIC,EAAE;AAAA,EACz2C,QAAQkB,EAAE,EAAEA,EAAEhC,EAAEgC,IAAIlB,GAAG;AAAA,EACvB,OAAOF,EAAEA,EAAE,OAAO,CAAC,EAAE,IAAIA,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,EAAE,GAAGE,GAAGF,CAAC,CAAC,SAASwa,GAAGpd,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAE,EAAE,KAAK,CAACF,EAAEE,CAAC,EAAEF,EAAEE,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAI/T,GAAG,KAAK,CAAC,YAAYyU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,KAAK,MAAMU,EAAE,MAAM,EAAE,KAAK,KAAKiX,GAAGjX,CAAC,EAAE,GAAG,KAAK,CAAC,IAAIP,EAAE,EAAE,OAAOoX,EAAEpX,IAAI,KAAK,KAAK,IAAI,qBAAqBA,qDAAqD,KAAK,QAAQ,CAAC,CAAC,GAAGH,IAAI,YAAY,MAAM,IAAI,MAAM,4JAA4J,EAAE,KAAK,OAAO,GAAGuY,GAAGvY,EAAE,KAAK,IAAI,EAAE,KAAK,QAAQmZ,GAAGzY,CAAC,CAAC,CAAC,IAAIA,KAAKV,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAGuX,EAAEvX,EAAE,SAAS,KAAK,KAAK,IAAI,uCAAuCA,EAAE,gCAAgC,KAAK,OAAO,EAAE,IAAI,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,OAAO,CAAC,EAAEU,CAAC,CAAC,OAAOA,EAAE,CAACA,EAAE,SAAS,IAAIA,EAAE,CAAC,CAAC,GAAG,IAAIV,EAAE,EAAE,QAAQG,KAAKO,EAAE,CAAC,GAAGP,EAAE,GAAGA,GAAG,KAAK,MAAMH,CAAC,EAAE,CAAC,IAAI2B,EAAE,qCAAqCjB,qBAAqB,KAAK,QAAQ,MAAM,IAAI,MAAMiB,CAAC,CAAC,CAAC3B,GAAG,CAAC,IAAI,EAAEU,EAAEA,EAAE,OAAO,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAE,EAAEP,EAAE,GAAG,KAAK,QAAQA,CAAC,EAAEO,EAAEP,CAAC,EAAE,OAAO,KAAK,OAAO,CAAC,CAAC,CAAC,WAAWO,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAO,GAAE,GAAG,KAAK,OAAO,EAAE,OAAOA,EAAE,CAAC,EAAE,IAAIV,EAAEU,EAAEA,EAAE,OAAO,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEV,GAAG,KAAK,QAAQ,CAAC,EAAEU,EAAE,CAAC,EAAE,OAAOV,CAAC,CAAC,WAAWU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,CAACA,CAAC,EAAE,IAAIV,EAAE,IAAI,MAAM,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,EAAEA,EAAE,CAAC,EAAE,KAAK,MAAMU,EAAE,KAAK,QAAQ,CAAC,CAAC,EAAEA,GAAGV,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,OAAOA,EAAEA,EAAE,OAAO,CAAC,EAAEU,EAAEV,CAAC,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,UAAU,CAAC,OAAOqd,GAAG,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEA,GAAG,KAAKC,GAAG,KAAKC,GAAG,KAAK,SAASC,GAAG1d,EAAE,CAACud,GAAGvd,CAAC,CAAC,SAAS2d,GAAG3d,EAAE,CAACwd,GAAGxd,CAAC,CAAC,SAAS4d,GAAG5d,EAAE,CAACyd,GAAGzd,CAAC,CAAC,IAAI9T,GAAG,KAAK,CAAC,YAAY0U,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,KAAK,GAAG,KAAK,mBAAmB,GAAG,KAAK,MAAMO,EAAE,MAAM,EAAE,KAAK,MAAMV,GAAG,UAAU,KAAK,KAAK2X,GAAGjX,CAAC,EAAE,KAAK,QAAQyY,GAAGzY,CAAC,EAAE,KAAK,OAAO,EAAE,KAAK,GAAGP,EAAE,KAAK,SAAS,KAAK,KAAK,EAAE,KAAK,KAAK,SAAS,EAAE,QAAQ,CAAC,IAAI,MAAM,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,MAAM,QAAQ,CAAC,IAAIO,EAAE,MAAM,KAAK,KAAK,EAAE,OAAO4c,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM5c,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO4c,GAAG,OAAO,KAAK,MAAM,KAAK,MAAM,KAAK,SAAS,CAAC,CAAC,CAAC,MAAM,OAAO,CAAC,IAAI5c,EAAE,MAAM,KAAK,KAAK,EAAE,OAAO2Y,GAAG,KAAK,MAAM3Y,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,WAAW,CAAC,OAAO2Y,GAAG,KAAK,MAAM,KAAK,SAAS,EAAE,KAAK,QAAQ,WAAW,CAAC,CAAC,MAAM,MAAM,CAAC,KAAK,gBAAgB,EAAE,IAAI3Y,EAAE2c,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,CAAC,IAAIrd,EAAE,MAAMU,EAAE,GAAG,CAAC,OAAOV,EAAE,IAAI,GAAG6a,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,CAAC,OAAOna,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2c,GAAG,EAAE,UAAU,KAAK,OAAO3c,CAAC,CAAC,CAAC,UAAU,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE2c,GAAG,EAAE,SAAS,KAAK,MAAM,EAAE,GAAG,KAAK,QAAQ,SAAS,GAAG,CAAC,OAAO3c,EAAE,IAAIV,GAAG6a,GAAG7a,CAAC,CAAC,CAAC,OAAOA,EAAN,CAAS,MAAM,IAAI,MAAM,+FAA+F,CAAC,CAAC,OAAOU,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,gBAAgB,EAAE,IAAIA,EAAE,MAAM2c,GAAG,EAAE,KAAK,KAAK,MAAM,EAAE,OAAO,KAAK,QAAQ,SAAS3c,EAAE,IAAI,WAAWA,EAAE,MAAM,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa2c,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,mBAAmB,GAAG,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,kBAAkB,CAAC,iBAAiB,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,qBAAqB,CAAC,CAAC,MAAM3c,EAAE,GAAG,CAAC,OAAO4c,GAAG,MAAM,KAAK5c,CAAC,CAAC,CAAC,OAAO,CAAC,OAAO,KAAK,gBAAgB,EAAE4c,GAAG,MAAM,IAAI,CAAC,CAAC,SAAS5c,EAAE,GAAG,CAAC,IAAIV,EAAE,KAAK,SAAS,EAAE,OAAO+c,GAAG/c,EAAE,KAAK,MAAM,KAAK,MAAMU,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE4c,GAAG,KAAK,KAAK5c,CAAC,CAAC,CAAC,SAASA,EAAE,GAAGV,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEqd,GAAG,EAAE,aAAa,KAAK3c,EAAEV,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO,eAAehU,GAAG,OAAO,YAAY,CAAC,MAAM8T,GAAG,CAAC,CAACA,GAAGA,EAAE,MAAM,MAAMA,EAAE,UAAU,MAAMA,EAAE,iBAAiB,IAAI,CAAC,EAAE,SAAS6d,GAAG,CAAC,OAAOrD,GAAG,SAAS,IAAItuB,EAAE,CAAC,CAAC2xB,EAAE,EAAE,IAAIjxB,GAAG,cAAcV,EAAE,CAAC,YAAY0U,EAAEV,EAAE,EAAEG,EAAE,CAAC,MAAMO,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAOP,CAAC,EAAE,KAAK,UAAUH,EAAE,KAAK,KAAK,CAAC,CAAC,OAAOU,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE,GAAG,CAAC+W,GAAG/W,EAAE,MAAM,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,2BAA2BA,EAAE,8BAA8B,KAAK,mBAAmB,EAAE2c,GAAG,EAAE,cAAc,IAAI,EAAE,KAAK,OAAO3c,EAAE,OAAO2c,GAAG,EAAE,OAAO,KAAK,IAAI,CAAC,CAAC,SAAS,CAACA,GAAG,EAAE,gBAAgB,IAAI,EAAE,KAAK,mBAAmB,EAAE,CAAC,EAAE,OAAO,eAAe3wB,GAAG,OAAO,YAAY,CAAC,MAAMoT,GAAGA,aAAa9T,IAAI8T,EAAE,QAAQ,MAAMA,EAAE,kBAAkB,QAAQ,CAAC,EAAE,IAAIxC,GAAG,CAAC,EAAEyC,GAAGzC,GAAG,CAAC,iBAAiB,IAAIsgB,GAAG,sBAAsB,IAAIC,GAAG,eAAe,IAAIC,GAAG,eAAe,IAAIC,EAAE,CAAC,EAAE,IAAIh1B,IAAI,SAAS+W,EAAE,CAACA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,KAAKA,EAAE,GAAG,IAAI,GAAG/W,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIi1B,IAAI,SAASle,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,QAAQA,EAAE,UAAU,WAAW,GAAGke,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASne,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,QAAQA,EAAE,KAAK,OAAOA,EAAE,UAAU,WAAW,GAAGme,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASpe,EAAE,CAACA,EAAE,QAAQ,UAAUA,EAAE,MAAM,UAAUA,EAAE,KAAK,UAAUA,EAAE,UAAU,WAAW,GAAGoe,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASre,EAAE,CAACA,EAAE,QAAQ,YAAYA,EAAE,MAAM,YAAYA,EAAE,KAAK,YAAYA,EAAE,UAAU,WAAW,GAAGqe,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQF,GAAG,MAAMF,GAAG,KAAKC,GAAG,UAAUE,EAAE,EAAE,SAAS/f,GAAG0B,EAAE,EAAE,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,CAAC,GAAGA,IAAI,UAAU,IAAI,SAAS,MAAM,SAAS,MAAM,IAAI,MAAM,kBAAkBA,UAAU,GAAG,CAAC,CAAC,OAAOse,GAAGte,CAAC,EAAE,CAAC,CAAC,CAAC,SAASlD,GAAGkD,EAAE,CAAC,OAAO1B,GAAG0B,EAAE,OAAO,CAAC,CAAC,SAASie,GAAGje,EAAE,EAAE,CAAC,GAAGA,EAAE,QAAQ,EAAE,MAAM,MAAM,CAACA,EAAE,CAAC,EAAE,IAAIE,EAAE5B,GAAG0B,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACA,EAAE,KAAKE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,SAAS4d,GAAG9d,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,EAAE,MAAM,IAAI,2BAA2BA,EAAE,qBAAqB,EAAE,yBAAyB,CAAC,CAAC,SAASge,GAAGhe,EAAE,EAAE,CAAC,OAAO,EAAE,KAAKE,GAAGA,EAAE,KAAKF,EAAE,EAAE,CAAC,CAAC,SAAS+d,GAAG/d,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,OAAOue,GAAGve,EAAE,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,SAASue,GAAGve,EAAE,EAAEE,EAAE,CAAC,GAAGF,GAAG,KAAK,OAAO,GAAGA,aAAa9T,GAAG,CAAC,EAAE,KAAK8T,CAAC,EAAE,MAAM,CAAC,GAAG,CAACwe,GAAGxe,CAAC,EAAE,OAAO,IAAII,EAAEJ,EAAE,QAAQK,KAAKD,EAAE,CAAC,IAAI,EAAEA,EAAEC,CAAC,EAAEH,EAAE,IAAI,CAAC,IAAIA,EAAE,IAAI,CAAC,EAAEqe,GAAG,EAAE,EAAEre,CAAC,EAAE,CAAC,CAAC,SAASse,GAAGxe,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,QAAQ,CAAC,SAASye,GAAGze,EAAE,CAAC,OAAOA,EAAE,YAAY,IAAI,CAAC,IAAI0e,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,oBAAoB,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,SAAS,EAAE,KAAK,WAAW,EAAE,KAAK,iBAAiB,EAAE,KAAK,eAAe,EAAE,KAAK,cAAc,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,WAAW,IAAI,QAAQ,KAAK,UAAU,GAAG,KAAK,cAAc,CAAC,SAAS,EAAE,WAAW,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAE,OAAO,KAAK,IAAI,aAAa,CAAC,OAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAI9d,GAAGA,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,oBAAoB,KAAK,oBAAoBA,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAE+d,GAAG,KAAK,CAAC,YAAY/d,EAAE,CAAC,KAAK,IAAIA,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,qBAAqB,EAAE,KAAK,MAAM,IAAI8d,EAAE,CAAC,MAAM,OAAO,CAAC,GAAG,KAAK,oBAAoB,KAAK,OAAO,KAAK,mBAAmB,KAAK,IAAI,CAAC,CAAC,EAAE,GAAG,KAAK,iBAAiB,KAAK,OAAO,IAAI9d,EAAE,KAAK,kBAAkB,EAAE,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,CAAC,EAAE,GAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,QAAQ,CAAC,MAAM,KAAK,WAAW,CAAC,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,IAAI,SAAS,CAAC,GAAG,KAAK,oBAAoB,KAAK,MAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI,EAAE,GAAG,KAAK,iBAAiB,KAAK,CAAC,GAAG,CAAC,KAAKU,EAAE,UAAUV,CAAC,EAAE,KAAK,gCAAgC,EAAE,GAAGA,EAAE,MAAM,IAAI,MAAM,iCAAiCU,sHAAsH,EAAE,KAAK,WAAWA,CAAC,CAAC,CAAC,OAAO,KAAK,eAAe,CAAC,cAAc,CAAC,OAAO,OAAO,KAAK,KAAK,eAAe,CAAC,CAAC,YAAYA,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,UAAU,GAAGA,KAAK,KAAK,gBAAgB,CAAC,GAAG,CAAC,UAAUV,CAAC,EAAE,KAAK,kBAAkBU,CAAC,EAAE,GAAGV,EAAE,OAAO,IAAI,KAAM,QAAO,KAAK,OAAO,KAAK,SAASU,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,KAAK,KAAK,gBAAgB,KAAK,gBAAgBA,CAAC,EAAE,QAAQ,IAAI,CAAC,gBAAgBA,EAAEV,EAAE,EAAE,EAAE,CAAC,OAAOU,KAAK,KAAK,iBAAiB6Z,GAAG,GAAG7Z,qEAAqE,EAAE,KAAK,KAAK,gBAAgBA,CAAC,EAAE,CAAC,QAAQV,EAAE,SAAS,CAAC,EAAE,GAAG,CAAC,MAAM,WAAWU,EAAE,CAAC,GAAG,KAAK,gBAAgBA,CAAC,GAAG,KAAK,MAAM,IAAI,MAAM,iBAAiBA,0BAA0B,EAAE,GAAG,KAAK,YAAYA,EAAE,KAAK,SAASA,CAAC,GAAG,KAAK,CAAC,KAAK,gBAAgB,KAAK,GAAG,CAAC,QAAQV,EAAE,UAAU,CAAC,EAAE,KAAK,kBAAkBU,CAAC,EAAE,GAAG,EAAE,EAAE,MAAMV,EAAEA,GAAG,MAAM,EAAE,CAAC,OAAO,KAAK,gBAAgB,KAAK,SAASU,CAAC,EAAE,KAAK,uBAAuB,EAAE,KAAK,SAAS,IAAI6b,GAAG,KAAK,eAAe,EAAE,EAAE,CAAC,wBAAwB,CAACvpB,GAAG,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,EAAE,WAAW,MAAM,EAAE,UAAU,KAAK,eAAe,CAAC,CAAC,CAAC,CAAC,yBAAyB0N,EAAE,CAAC1N,GAAG0N,CAAC,EAAE,QAAQR,GAAG,CAACA,EAAE,aAAa,MAAMA,EAAE,YAAY,KAAK,SAASQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAE,CAAC,IAAIV,EAAE,KAAK,gBAAgBU,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAI,MAAM,6BAA6BU,2BAA2B,EAAE,GAAG,CAAC,IAAI,EAAEV,EAAE,QAAQ,EAAE,GAAG,GAAG,EAAE,aAAaxa,KAAK,OAAO,EAAE,MAAM,WAAW,CAAC,IAAI2a,EAAE,EAAE,KAAK,qBAAqBwB,EAAE,EAAE,KAAKC,GAAGzB,EAAE,KAAK,qBAAqB,IAAI,KAAK,SAASO,CAAC,EAAEkB,EAAE,KAAK,mBAAmB,KAAK,GAAG,EAAE,MAAMA,IAAIzB,EAAE,KAAK,uBAAuB,KAAK,mBAAmB,KAAKoa,GAAG,6BAA6B7Z,UAAU,EAAE6Z,GAAG3Y,EAAE,OAAOA,EAAE,OAAO,GAAG,GAAG,EAAE,OAAO,KAAK,mBAAmBD,EAAE,CAAC,QAAQA,EAAE,UAAU,EAAE,CAAC,KAAM,QAAO,KAAK,SAASjB,CAAC,EAAE,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,OAAO,EAAN,CAAS,OAAO6Z,GAAG,6BAA6B7Z,UAAU,EAAE6Z,GAAG,EAAE,OAAO,EAAE,OAAO,EAAE,CAAC,QAAQ,GAAG,UAAU,EAAE,CAAC,CAAC,CAAC,cAAc7Z,EAAE,CAAC,GAAG,EAAEA,KAAK,KAAK,iBAAiB,MAAM,IAAI,MAAM,GAAGA,iCAAiC,EAAE,KAAK,cAAcA,GAAG,KAAK,oBAAoB,MAAM,KAAK,uBAAuBA,KAAK,KAAK,WAAW,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,CAAC,EAAE,QAAQ,EAAE,OAAO,KAAK,SAASA,CAAC,GAAG,OAAO,KAAK,gBAAgBA,CAAC,EAAE,KAAK,cAAcA,IAAI,KAAK,mBAAmB,KAAK,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,CAAC,mBAAmB,CAAC,GAAG,OAAO,KAAK,KAAK,eAAe,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAACA,EAAEV,IAAI,KAAK,gBAAgBA,CAAC,EAAE,SAAS,KAAK,gBAAgBU,CAAC,EAAE,QAAQ,CAAC,CAAC,iCAAiC,CAAC,IAAIA,EAAE,KAAK,kBAAkB,EAAE,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,CAAC,EAAE,CAAC,QAAQG,EAAE,UAAUwB,CAAC,EAAE,KAAK,kBAAkB,CAAC,EAAE,GAAGA,GAAGxB,EAAE,MAAM,CAAC,KAAK,EAAE,UAAUwB,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,wEAAwE,CAAC,CAAC,SAASjB,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAEG,EAAE,EAAE,QAAQwB,EAAE,KAAK,SAAS3B,CAAC,EAAE4B,EAAEzB,EAAE,SAASH,CAAC,EAAEG,EAAE,YAAYH,EAAE,EAAE,EAAE,EAAE,QAAQU,EAAEA,EAAE,KAAKV,EAAE2B,EAAE,EAAE,MAAM,EAAE,MAAMC,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,CAAC,GAAG,CAAC,KAAKlB,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAOU,GAAG,WAAW,MAAM,IAAI,MAAM,qCAAqC,EAAEV,EAAEU,CAAC,KAAK,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa,QAAQ,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,OAAOV,GAAG,WAAW,MAAM,IAAI,MAAM,gFAAgF,EAAE,EAAEU,CAAC,CAAC,IAAIP,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,IAAI,KAAK,SAASA,CAAC,EAAE,KAAKA,EAAEH,EAAE,EAAEG,aAAa,SAAS,QAAQ,MAAM,yCAAyC,EAAEA,EAAE,CAAC,CAAC,UAAUO,EAAEV,EAAE,EAAE,CAACU,EAAE,EAAE,GAAG,CAAC,IAAIP,EAAE,EAAE,EAAE,OAAOH,EAAE,EAAEG,CAAC,OAAOA,EAAN,CAAS,MAAMH,EAAE,EAAEG,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOse,GAAG,cAAc,CAAC,gBAAgB,CAAC,OAAOA,GAAG,gBAAgB,CAAC,MAAM/d,EAAE,CAAC,IAAIV,EAAE0e,EAAE,UAAUx5B,GAAG,CAAC,EAAEwb,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAEP,EAAEyB,IAAI,CAAC,EAAE,IAAI,CAAC,IAAIC,EAAE,UAAUC,EAAE,CAAC,EAAEF,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAE,OAAO6c,EAAE,UAAUh9B,GAAGogB,EAAE,CAAC,CAAC,CAAC,GAAGH,EAAE,CAAC,EAAE,OAAO,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,EAAE,CAAC3B,CAAC,EAAEG,EAAEwB,EAAE,CAAC,CAAC,EAAE3B,CAAC,CAAC,UAAUU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,MAAM,KAAK,QAAUjN,GAAG2N,EAAE,KAAK,WAAW,GAAG,KAAM,MAAM,IAAI,MAAM,WAAWA,kCAAkC,KAAK,cAAc,EAAE,OAAO,KAAK,cAAc,CAAC,WAAWA,EAAE,OAAOV,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,IAAI,QAAQ,SAAS,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,KAAK,QAAQ,WAAW,EAAEwB,EAAE,EAAE,EAAE,QAAQG,GAAG,CAACH,GAAGG,EAAE,QAAQ,YAAY,EAAE,CAAC,CAAC,EAAE,IAAIF,EAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,OAAO,CAAC,EAAEC,EAAE1B,EAAEH,EAAE2B,EAAEC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,YAAY,KAAK,6CAA6CA,8BAA8BnB,IAAI,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIV,EAAE,EAAE,CAAC,EAAEG,EAAE,KAAK,SAAS,EAAEwB,EAAE,KAAK,MAAM,SAASC,EAAE,KAAK,MAAM,WAAW,KAAK,uBAAuB,GAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC,EAAE,IAAIC,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAIC,EAAE,EAAEyc,GAAG7d,CAAC,EAAEA,EAAE,WAAW,KAAK,MAAM,aAAa,KAAK,KAAK,MAAM,YAAY,KAAK,GAAG,GAAG6d,GAAG7d,CAAC,EAAE,CAAC,GAAG,CAAC,WAAWkC,EAAE,OAAOkB,EAAE,MAAMC,CAAC,EAAErD,EAAE,KAAK,aAAa,MAAM,KAAK,QAAQ,IAAI0G,EAAErU,GAAG6P,EAAE,KAAK,WAAW,EAAE2U,EAAEnQ,GAAG,KAAK,IAAI,kCAAkCxE,mBAAmB,KAAK,cAAc,EAAEf,EAAE,IAAI,CAAC,IAAI+C,EAAE,KAAK,QAAQ,WAAW,EAAE9C,EAAEsF,EAAE,WAAW,CAAC,OAAOtD,EAAE,MAAMC,EAAE,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAIQ,EAAE,MAAM,QAAQzC,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,KAAK,uBAAuB,GAAG,KAAK,sBAAsBc,EAAEgC,EAAEL,CAAC,EAAE,IAAIC,EAAED,EAAE,IAAIE,GAAGA,EAAE,MAAM,KAAKA,EAAE,KAAK,yBAAyBA,CAAC,CAAC,EAAE,GAAGtE,EAAE,CAAC,IAAIsE,EAAE,KAAK,sBAAsB7B,EAAEkB,EAAEU,CAAC,EAAE,EAAE,KAAK,2BAA2BC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,YAAY5B,CAAC,EAAElC,EAAEoD,EAAEC,GAAG,CAAC5D,IAAI,EAAE4D,EAAE,IAAIqD,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE,EAAEvF,EAAE,IAAI,CAAC,IAAIkC,EAAE,KAAK,QAAQ,WAAW,EAAEjC,EAAE,KAAK,KAAK,IAAIc,EAAE,KAAK,QAAQkB,CAAC,CAAC,EAAE,IAAIsD,EAAE,MAAM,QAAQtF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,OAAO,KAAK,uBAAuB,GAAG,KAAK,sBAAsB,EAAEiC,EAAEqD,CAAC,EAAEA,CAAC,CAAC,CAAC,GAAG,CAAC,OAAO5E,EAAE,MAAM,CAAC,EAAE9B,EAAEgC,EAAE6b,GAAG7d,CAAC,EAAE,KAAKA,EAAE,cAAciC,EAAE,OAAO,KAAK,UAAU,IAAI,KAAK,MAAM,cAAc,IAAI,KAAK,MAAM,cAAc,IAAI,CAAC,CAAC,KAAK,IAAI,QAAQ,OAAO,GAAG,CAAC,KAAK,MAAM,UAAU3C,EAAE6B,EAAE,GAAGc,EAAE,KAAK,SAAS,cAAc,EAAEH,EAAE,IAAIX,EAAE,CAAC,EAAE,KAAK,IAAI,QAAQ,OAAO,GAAG,KAAK,SAAS,iBAAiBc,CAAC,EAAE3C,EAAE2C,EAAE,QAAQ,CAAC,EAAExC,GAAG,KAAK,YAAY,EAAEqC,EAAExC,EAAE0C,EAAE,EAAE,CAAC,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,CAAC,KAAK,EAAE,WAAW,KAAK,MAAM,SAASf,EAAE,mBAAmB,KAAK,MAAM,SAAS,aAAa,KAAK,MAAM,WAAWC,EAAE,qBAAqB,KAAK,MAAM,WAAW,YAAY,OAAO,KAAKY,CAAC,EAAE,IAAII,GAAGJ,EAAEI,CAAC,GAAG,KAAKJ,EAAEI,CAAC,EAAE,MAAM,IAAI,EAAE,aAAa5C,EAAE,IAAI4C,GAAGA,EAAE,KAAK,EAAE,aAAaD,EAAE,OAAO,UAAUA,EAAE,SAAS,CAAC,EAAE,MAAM,QAAQb,CAAC,EAAE9B,EAAEA,EAAE,CAAC,CAAC,CAAC,2BAA2BU,EAAE,CAAC,OAAOA,EAAE,IAAIR,GAAG,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,CAAC,CAAC,CAAC,sBAAsBQ,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAErN,GAAG4N,CAAC,EAAE,GAAGP,GAAG,KAAK,CAAC,IAAIwB,EAAExB,EAAE,cAAc,CAAC,EAAEyB,EAAEzB,EAAE,eAAe,CAAC,EAAE0B,EAAE1B,EAAE,eAAeoX,EAAE,MAAM,QAAQvX,CAAC,EAAE,IAAI,wDAAwD,EAAE6B,EAAE,OAAO,KAAK7B,CAAC,EAAE,IAAI,GAAGA,EAAE,CAAC,CAAC,GAAG6B,EAAEF,EAAE,IAAI,GAAG3B,EAAE,CAAC,CAAC,EAAE,IAAI8B,EAAE,EAAE,OAAO,CAAC,EAAEU,IAAIZ,EAAEY,CAAC,CAAC,EAAE,OAAOX,EAAE,OAAOC,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,WAAWpB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAGO,GAAG,KAAK,MAAM,IAAI,MAAM,+CAA+C,EAAE,EAAE,GAAG,UAAUP,EAAEA,GAAG,KAAK,QAAQ,IAAIwB,EAAEjB,EAAE,IAAI,UAAUmY,GAAGnY,EAAE,CAAC,CAAC,IAAIiB,EAAEjB,EAAE,IAAIoB,GAAGgZ,GAAGhZ,CAAC,CAAC,GAAG,IAAIF,EAAEzB,EAAE,MAAMwB,EAAE3B,EAAE,CAAC,EAAE6B,EAAE,IAAI7V,GAAGgU,EAAE,EAAE4B,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,YAAYC,EAAE1B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI2B,EAAE,KAAK,MAAM,WAAW,IAAIF,CAAC,EAAE,EAAEgX,GAAGjX,CAAC,EAAE,KAAK,MAAM,UAAU,EAAEG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,qBAAqBnB,EAAEV,EAAE,EAAEG,EAAE,CAAC,EAAE,GAAG,UAAU,IAAIwB,EAAE,CAAC,OAAOjB,EAAE,MAAMV,EAAE,MAAM,CAAC,EAAE,OAAO,KAAK,yBAAyB2B,EAAExB,CAAC,CAAC,CAAC,yBAAyBO,EAAEV,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAMG,EAAE,MAAMwB,CAAC,EAAEjB,EAAEkB,EAAE,IAAI5V,GAAGmU,EAAEwB,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,OAAO,KAAK,YAAYC,EAAE5B,CAAC,EAAE4B,CAAC,CAAC,aAAalB,EAAEV,EAAE,GAAG,EAAEG,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,EAAE,SAAS,EAAEA,GAAG,MAAMA,IAAIO,EAAE,QAAQA,EAAEA,EAAE,KAAKP,CAAC,GAAG,IAAIwB,EAAE,IAAIjV,GAAGgU,EAAEV,EAAE,EAAE,KAAK,aAAa,CAAC,EAAE,GAAG,KAAK,MAAM,oBAAoB2B,EAAE,IAAI,GAAG,KAAK,MAAM,IAAI,MAAM,sBAAsBA,EAAE,6BAA6B,EAAE,OAAO,KAAK,MAAM,oBAAoBA,EAAE,IAAI,EAAEA,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,EAAEA,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,KAAK,MAAM,aAAaU,EAAE,QAAQ,UAAU,KAAK,MAAM,mBAAmB,IAAI,EAAE,EAAEA,EAAE,QAAQ,aAAaA,EAAE,QAAQ,WAAW,EAAEA,EAAE,KAAKiY,GAAGjY,EAAE,KAAK,GAAG,KAAK,MAAM,UAAU,EAAE,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,IAAI,KAAK,MAAM,iBAAiB,KAAK,MAAM,WAAW,IAAIA,EAAE,OAAO,CAAC,QAAQV,GAAG,KAAK,QAAQ,MAAMU,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,GAAGA,aAAahU,IAAI,KAAK,MAAMgU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,KAAK,YAAYU,EAAEV,CAAC,EAAE,KAAK,QAAQ,OAAOU,EAAE,MAAM,CAAC,CAAC,aAAaA,EAAEV,EAAE,CAAC,KAAK,MAAM,WAAW,IAAIU,CAAC,GAAG,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,UAAUV,IAAI,KAAK,MAAM,WAAW,OAAOU,CAAC,EAAE,KAAK,MAAM,iBAAiB,CAAC,cAAcA,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,WAAW,IAAIA,EAAE,MAAM,EAAE,OAAO,IAAIV,EAAE,KAAK,MAAM,WAAW,IAAIU,EAAE,MAAM,EAAE,GAAG,KAAK,MAAM,aAAaA,EAAE,QAAQ,WAAW,KAAK,MAAM,mBAAmB,KAAK,MAAM,UAAUV,EAAE,OAAOU,EAAE,QAAQ,aAAaA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEA,EAAE,KAAKiY,GAAGjY,EAAE,KAAK,EAAE,KAAK,MAAM,UAAU,CAAC,CAACV,EAAE,QAAQ,YAAYU,EAAE,MAAM,GAAG,KAAK,aAAaA,EAAE,OAAOV,EAAE,OAAO,CAAC,CAAC,kBAAkB,CAAC,QAAQU,KAAK,KAAK,MAAM,oBAAoB,CAAC,IAAIV,EAAE,KAAK,MAAM,oBAAoBU,CAAC,EAAE,KAAK,gBAAgBV,CAAC,CAAC,CAAC,CAAC,gBAAgBU,EAAE,CAAC,KAAK,cAAcA,CAAC,EAAE,KAAK,MAAM,oBAAoBA,EAAE,IAAI,GAAG,MAAM,OAAO,KAAK,MAAM,oBAAoBA,EAAE,IAAI,CAAC,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,QAAQ,OAAO,EAAE,OAAOA,EAAE,WAAW,KAAK,MAAM,WAAWA,EAAE,eAAe,KAAK,MAAM,eAAeA,EAAE,SAAS,KAAK,MAAM,SAAS,KAAK,MAAM,iBAAiB,IAAIA,EAAE,WAAW,GAAGA,EAAE,SAAS,OAAOA,EAAE,QAAQ,CAAC,GAAGA,EAAE,QAAQ,KAAK,uEAAuE,GAAGA,CAAC,CAAC,MAAM,QAAQA,EAAE,CAAC,KAAK,MAAM,UAAU,GAAG,IAAIV,EAAE,KAAK,MAAM,SAAS,EAAE,KAAK,MAAM,WAAW,KAAK,MAAM,cAAc,QAAQ,CAAC,EAAE,KAAK,MAAM,cAAc,OAAO,MAAMU,EAAE,EAAE,KAAK,MAAM,UAAU,GAAG,KAAK,MAAM,cAAc,UAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAIP,GAAGA,EAAE,kBAAkB,CAAC,EAAE,KAAK,MAAM,cAAc,SAAS,KAAK,MAAM,SAASH,EAAE,KAAK,MAAM,cAAc,WAAW,KAAK,MAAM,WAAW,EAAE,QAAQG,KAAK,KAAK,MAAM,cAAc,QAAQA,EAAE,aAAa,MAAMA,EAAE,aAAaA,EAAE,UAAU,MAAMA,EAAE,UAAU,OAAO,KAAK,MAAM,aAAa,CAAC,UAAU,CAAC,OAAO,KAAK,MAAM,cAAc,GAAG,KAAK,MAAM,cAAc,CAAC,CAAC,YAAYO,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAG,KAAK,MAAM,iBAAiB,WAAWnB,EAAE,OAAOV,EAAE,QAAQ,EAAE,MAAM2B,CAAC,EAAEG,EAAEhP,GAAG4N,CAAC,EAAEoB,GAAG,OAAO3B,EAAE2B,EAAE,UAAU3B,GAAG,OAAO0B,EAAE,SAAS,IAAI,EAAE,EAAE,IAAI,CAACW,EAAE,IAAI,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,EAAE,CAAC,EAAEC,EAAE6W,GAAG9W,EAAE,KAAKA,EAAE,KAAK,EAAE,OAAO,KAAK,WAAWC,EAAED,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,OAAOF,CAAC,CAAC,EAAErC,EAAE,EAAE,OAAO,EAAE,EAAE,EAAE,CAAC,EAAEwB,EAAEC,CAAC,IAAI,KAAK,MAAM,WAAW,KAAKC,CAAC,CAAC,CAAC,KAAKnB,EAAE,CAAC,OAAOA,EAAE,KAAK,GAAGA,CAAC,CAAC,WAAW,CAAC,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,CAAC,GAAG,KAAK,MAAM,eAAe,CAAC,SAAS,CAAC,KAAK,MAAM,eAAe,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,CAAC,MAAM,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,MAAM,aAAa,EAAEU,IAAIV,EAAE,KAAKU,GAAG,KAAK,MAAM,WAAW,KAAKV,CAAC,EAAE,KAAK,MAAM,YAAYA,CAAC,CAAC,SAASU,EAAE,CAAC,IAAIV,EAAE6d,GAAGnd,CAAC,EAAE,EAAE,IAAI,IAAIV,EAAE,IAAI2B,GAAGA,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAE,KAAK,MAAM,YAAY,MAAM,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,MAAM,YAAY,MAAMD,CAAC,EAAE,CAACC,EAAE,MAAM,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,IAAIzB,EAAE,KAAK,MAAM,WAAW,IAAI,EAAE,KAAK,MAAM,YAAY,KAAK,MAAM,WAAW,SAAS,EAAE,KAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,OAAO,CAAC,EAAEH,EAAE,QAAQ2B,GAAG,CAAC,CAACA,EAAE,MAAMA,EAAE,UAAUxB,EAAE,IAAI,KAAK,MAAMwB,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,GAAGoX,EAAEvX,EAAE,OAAO,EAAE,IAAI,2CAA2C,EAAE,GAAG,MAAM,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,IAAI2B,EAAE,KAAK,UAAU,IAAI,KAAK,UAAU,EAAE,IAAI,KAAK,QAAQ,EAAE,IAAI,KAAK,KAAK,UAAUjB,CAAC,CAAC,EAAE6W,EAAE5V,aAAa3V,GAAG,IAAI,gDAAgD,EAAE,IAAI4V,EAAE8a,GAAG,KAAK,MAAM,WAAW1c,EAAE2B,CAAC,EAAE,GAAG,CAACxB,GAAGyB,EAAE,SAAS,GAAG5B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qIAAqI,EAAE,OAAO,KAAK,KAAK,WAAW,IAAI,CAAC,IAAI6B,EAAE,CAAC,EAAEA,EAAEF,EAAE,EAAE,EAAE,GAAG,KAAKgd,GAAGhd,EAAE,KAAK,EAAE,EAAEgb,GAAG9a,EAAED,EAAE,GAAG,KAAK,KAAK,CAAC,EAAEgd,EAAE,EAAE,IAAI9c,EAAE9B,EAAE,IAAI,GAAG6B,EAAE,EAAE,EAAE,CAAC,EAAE,OAAO,KAAK,MAAM,gBAAgB,IAAI,KAAK,MAAM,WAAW,QAAQ,GAAG,CAAC,QAAQW,KAAK,EAAE,MAAMA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,MAAM,WAAW,MAAM,CAAC,MAAMb,EAAE,MAAMG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAWpB,EAAE,CAAC,OAAO6W,EAAE0B,GAAGvY,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIV,IAAI,CAACuX,EAAEvX,EAAE,MAAM6B,GAAGA,aAAa7V,EAAE,EAAE,IAAI,kEAAkE,EAAE,IAAI,EAAEmU,EAAE,CAAC,EAAEH,EAAE,QAAQ,CAAC6B,EAAEC,IAAI,CAAC3B,EAAE2B,CAAC,EAAED,CAAC,CAAC,EAAE,IAAIF,EAAE,CAACE,EAAEC,KAAK,EAAEpB,EAAE,GAAGV,EAAE8B,CAAC,EAAEyV,EAAE,EAAE,iBAAiBvrB,GAAG,IAAI,4FAA4F,EAAEurB,EAAE0B,GAAG,EAAE,QAAQ,EAAE,IAAI,kGAAkG,EAAE,EAAE,OAAOrX,EAAE,CAACC,EAAEC,IAAI,CAAC,IAAI,EAAE,EAAE,SAASD,EAAEC,CAAC,EAAEU,EAAE,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE+U,EAAE/U,EAAE,SAASxC,EAAE,OAAO,IAAI,qKAAqK,EAAEuX,EAAE/U,EAAE,MAAME,GAAGA,aAAa1W,EAAE,EAAE,IAAI,sIAAsI,EAAE,IAAI,EAAE,CAAC,EAAE,OAAOwW,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAAC,EAAEA,CAAC,EAAE,IAAID,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK,cAAc,CAAC,YAAYf,EAAE,cAAcC,EAAE,OAAOzB,CAAC,CAAC,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,SAASA,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIA,CAAC,EAAE,QAAQ,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,WAAW,IAAIU,CAAC,EAAE,QAAQ,UAAUA,EAAEV,CAAC,CAAC,CAAC,MAAM,KAAKU,EAAE,CAAC,IAAIV,EAAEob,GAAG,EAAE,EAAE,MAAM,KAAK,QAAQ,KAAK1a,CAAC,EAAE,OAAO,EAAE,OAAO0a,GAAG,EAAEpb,EAAE,CAAC,CAAC,MAAMU,EAAE,CAAC,OAAO,KAAK,MAAM,aAAa,OAAOA,EAAE,QAAQ,KAAK,MAAM,YAAY,GAAG,KAAK,MAAM,YAAY,MAAM,KAAKA,CAAC,GAAGA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,OAAO,CAAC,KAAK,uBAAuB,KAAK,MAAM,QAAQ,EAAE,KAAK,IAAI,MAAM,EAAE,KAAK,MAAM,IAAI8d,GAAG,QAAQ9d,KAAK,KAAK,SAAS,KAAK,yBAAyBA,CAAC,EAAE,KAAK,SAASA,CAAC,EAAE,QAAQ,EAAE,OAAO,KAAK,SAASA,CAAC,EAAE,KAAK,YAAY,KAAK,KAAK,gBAAgB,KAAK,KAAK,mBAAmB,IAAI,CAAC,EAAE+d,GAAG,aAAa,EAAEA,GAAG,eAAe,EAAE,SAASE,GAAG7e,EAAE,CAAC,IAAI,EAAEyZ,GAAG5B,GAAG7X,CAAC,EAAE,SAAS,EAAE,OAAO4e,EAAE,WAAW,EAAE5e,EAAE,SAAS,CAAC,CAAC,SAAS+e,IAAI,CAAC,IAAI/e,EAAEsa,GAAG,EAAE,GAAGta,EAAE,WAAW,KAAK,CAAC,IAAI,EAAE,IAAInc,GAAGmc,CAAC,EAAEA,EAAE,UAAU,IAAI2e,GAAG,CAAC,CAAC,CAAC,OAAOvE,GAAGpa,EAAE,UAAU,GAAG,EAAE0d,GAAG,IAAI1d,EAAE,SAAS,EAAEA,EAAE,SAAS,CAAC,IAAI4e,EAAEG,GAAG,EAAE,SAASD,GAAG9e,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,EAAE,EAAE,CAAC,EAAE,OAAO4e,EAAE,UAAUv+B,GAAG6f,CAAC,CAAC,CAAC,IAAItP,GAAG,CAAC,EAAEqP,GAAGrP,GAAG,CAAC,UAAU,IAAIouB,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,EAAE,CAAC,EAAE,SAASC,IAAI,CAAC,OAAO,OAAO,WAAW,aAAa,WAAW,IAAI,CAAC,IAAIC,GAAG,SAASF,GAAGlf,EAAE,CAACof,GAAGpf,CAAC,CAAC,SAASif,GAAGjf,EAAE,CAAC,GAAGof,KAAK,OAAO,OAAOA,GAAG,GAAGpf,GAAGmf,GAAG,EAAE,CAAC,GAAGnf,IAAIA,EAAE,WAAWA,EAAE,UAAU,cAAc,MAAM,GAAG,IAAI,EAAEA,EAAE,WAAWA,EAAE,SAAS,OAAO,QAAQ,YAAY,OAAO,MAAM,IAAI,GAAG,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOE,EAAE,eAAeA,EAAE,cAAc,MAAM,CAAC,MAAM,2TAA2T,KAAK,CAAC,GAAG,0kDAA0kD,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAAS8e,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,UAAU,MAAM,OAAO,mBAAmB,WAAW,CAAC,IAAIK,GAAGztB,EAAE,EAAEytB,GAAG,aAAa,QAAQ,IAAI,GAAGrf,GAAG,CAACA,GAAG,QAAQ,KAAK,6IAA6I,CAAC,CAAC,EAAEqf,GAAG,aAAa,aAAa,IAAIL,GAAG,CAAC,EAAEK,GAAG,aAAa,UAAU,IAAI,OAAO,SAAS,aAAa,OAAO,QAAQ,UAAU,aAAa,OAAO,QAAQ,SAAS,MAAM,WAAW,EAAEA,GAAG,aAAa,YAAY,IAAI,OAAO,WAAW,aAAa,WAAW,MAAM,UAAU,WAAW,MAAM,SAAS,KAAK,UAAU,SAAS,GAAG,aAAa,KAAK,UAAU,MAAM,CAAC,EAAEA,GAAG,aAAa,OAAO,IAAI,EAAE,EAAEA,GAAG,aAAa,qCAAqC,IAAIA,GAAG,QAAQ,OAAO,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,UAAU,IAAI,EAAE,EAAEA,GAAG,aAAa,+BAA+B,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,wCAAwC,IAAI,EAAE,EAAEA,GAAG,aAAa,uBAAuB,IAAI,EAAE,EAAE,SAASC,GAAGtf,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGqb,GAAGrb,CAAC,EAAE,OAAO,IAAI,SAAS,CAAC,EAAE,CAACA,EAAE,MAAM,EAAE,GAAG,OAAOA,GAAG,UAAU,GAAG,YAAYA,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,UAAU,OAAO,MAAM,CAACA,EAAE,OAAOA,EAAE,MAAM6B,EAAE,MAAM,CAAC,SAAS,WAAW7B,GAAG,EAAEA,EAAE,kBAAkB,aAAa,MAAM,CAACA,EAAE,OAAO,MAAM,GAAG,KAAK,EAAE6Y,GAAG,CAAC,EAAE,EAAE,GAAG,CAAC,MAAM,QAAQ7Y,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIK,EAAE,CAAC,EAAE,KAAK,MAAM,QAAQH,CAAC,GAAGmb,GAAGnb,CAAC,GAAG,IAAI,UAAUG,EAAE,KAAKH,EAAE,MAAM,EAAEA,EAAEA,EAAE,CAAC,EAAE,OAAO,MAAM,QAAQF,CAAC,GAAGpO,EAAE,EAAE,QAAQ,oCAAoC,GAAG2tB,GAAGvf,EAAEK,EAAE,CAAC,CAAC,EAAEA,CAAC,CAAC,SAASkf,GAAGvf,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAEA,GAAG,CAAC,EAAE,CAAC,MAAM,QAAQF,CAAC,GAAG,CAACqb,GAAGrb,CAAC,EAAE,CAACyX,EAAE,EAAE,SAAS,EAAE,IAAI,eAAevX,EAAE,KAAK,IAAI,2DAA2D,EAAE,CAAC,YAAY,EAAE,MAAM,CAACuX,EAAE,EAAE,OAAO,EAAE,IAAI,eAAevX,EAAE,KAAK,IAAI,gDAAgDF,EAAE,iBAAiB,EAAEyX,EAAEzX,EAAE,SAAS,EAAE,CAAC,EAAE,IAAI,eAAeE,EAAE,KAAK,IAAI,kBAAkB,EAAE,CAAC,uBAAuBF,EAAE,iBAAiB,EAAE,IAAII,EAAE,EAAE,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEkf,GAAGvf,EAAEK,CAAC,EAAED,EAAEF,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,SAASmf,GAAGxf,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,IAAI,oBAAoB,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,IAAI,WAAWA,IAAI,GAAGA,IAAI,WAAW,IAAI,SAAS,MAAM,IAAI,MAAM,aAAaE,iBAAiBE,cAAcJ,qBAAqB,UAAU,CAAC,CAAC,CAAC,SAASyf,EAAEzf,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAGJ,aAAa9T,GAAG,OAAOszB,GAAGpf,EAAEJ,EAAE,MAAM,EAAEE,CAAC,EAAEF,EAAE,IAAIK,EAAE6Y,GAAGlZ,CAAC,EAAE,GAAGK,IAAI,UAAU,CAAC,OAAO,QAAQ,SAAS,EAAE,QAAQD,CAAC,GAAG,IAAIC,EAAED,GAAGof,GAAGpf,EAAEC,EAAE,EAAEH,CAAC,EAAEF,GAAG,MAAM,CAACqb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,CAAC,IAAIgC,EAAEhC,GAAG,KAAK,OAAOA,EAAE,YAAY,KAAK,MAAM,IAAI,MAAM,aAAa,iBAAiBE,+CAA+C8B,IAAI,CAAC,CAAC,IAAI,EAAEsd,GAAGtf,EAAEK,CAAC,EAAE,CAACgb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI+B,EAAE1B,IAAI,SAASkb,GAAGvb,EAAEK,CAAC,EAAE8a,GAAGnb,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO4e,EAAE,WAAW7c,EAAE,EAAE1B,CAAC,CAAC,CAAC,SAASqf,GAAG1f,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAG,CAAC,MAAM,QAAQJ,CAAC,EAAE,MAAM,IAAI,MAAM,YAAY,eAAeE,8CAA8C,EAAE,OAAOF,EAAE,IAAI,CAAC6B,EAAEC,IAAI2d,EAAE5d,EAAE,GAAG,KAAKC,KAAK5B,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIpY,GAAG,OAAO,SAASwP,EAAEwI,EAAE,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc,EAAE,IAAIE,EAAE,EAAE,CAAC,EAAEE,EAAEJ,EAAEE,CAAC,EAAEA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,GAAGA,EAAEA,EAAElY,GAAG,IAAIqY,EAAE,IAAI,IAAI,CAACue,EAAE,WAAW1e,CAAC,EAAE,GAAG,CAAC,IAAI,EAAEE,EAAE,GAAG,CAAC,EAAE,OAAO2Z,GAAG,CAAC,GAAG,QAAQ,MAAM,yCAAyC,EAAE6E,EAAE,SAAS,CAAC,EAAE,CAAC,OAAO,EAAN,CAAS,MAAMA,EAAE,SAAS,IAAI,EAAE,CAAC,CAAC,EAAE,OAAO,OAAO,eAAeve,EAAE,OAAO,CAAC,MAAMH,EAAE,aAAa,EAAE,CAAC,EAAEG,CAAC,CAAC,SAASsf,GAAG3f,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,OAAO,SAAS,EAAEI,EAAEqf,EAAE,EAAE,OAAO,SAAS,EAAE/H,GAAGxX,EAAE,MAAME,EAAE,MAAM,yBAAyBF,EAAE,aAAaE,EAAE,4CAA4C,EAAE,IAAIC,EAAE,CAAC,KAAKH,EAAE,KAAKE,CAAC,EAAE,OAAOwe,EAAE,UAAU78B,GAAGse,CAAC,CAAC,CAAC,IAAIlR,GAAGqI,EAAE,CAAC,SAASmoB,EAAE,CAAC,EAAE,SAASC,GAAG5f,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAKA,EAAE8Y,GAAGlZ,CAAC,UAAUI,IAAI,YAAY,MAAM,IAAI,MAAM,kFAAkF,EAAE,GAAG,OAAOJ,GAAG,WAAW,YAAYA,GAAG,WAAWA,GAAG,EAAEA,EAAE,kBAAkB,cAAc,CAAC,GAAGI,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,2FAA2FA,IAAI,EAAE,OAAOwe,EAAE,QAAQ,wBAAwB5e,EAAE,GAAGE,EAAEE,CAAC,CAAC,CAAC,GAAG,CAACib,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,WAAW,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,0HAA0H,EAAE,GAAG,GAAG,KAAK,CAAC4Z,GAAG,CAAC,EAAE,IAAIvZ,EAAEwX,GAAG,CAAC,EAAE,EAAEA,GAAG3X,CAAC,EAAEuX,EAAEpX,IAAI,EAAE,IAAI,iCAAiC,8BAA8BA,oBAAoB,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,CAAC,EAAE8B,EAAE,IAAI9B,EAAE,OAAO,EAAE6B,IAAI8V,GAAG,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGJ,EAAEvX,EAAE,CAAC,IAAI,EAAE,CAAC,GAAG,CAAC8B,EAAE,IAAI,gDAAgD9B,yCAAyC,MAAM,CAAC,CAAC,CAAC,MAAM,CAACmb,GAAGrb,CAAC,GAAG,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,EAAE,GAAGE,EAAEF,EAAEI,IAAI,SAASmb,GAAGvb,EAAEI,CAAC,EAAE+a,GAAGnb,EAAE,CAAC,EAAE,EAAE,EAAE4e,EAAE,WAAW5e,EAAE,EAAEI,CAAC,CAAC,CAAC,SAASnD,GAAG+C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,OAAO0f,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,IAAI2f,GAAG,CAAC,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,OAAO,EAAE,MAAM,EAAE,KAAK,EAAE,UAAU,CAAC,EAAMC,GAAG,EAAE,eAAeC,GAAG/f,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEC,EAAE,MAAM,QAAQL,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,CAAC,EAAE2B,EAAE,MAAM,QAAQhC,CAAC,EAAEA,EAAE,CAAC,EAAE,OAAOA,EAAE+B,CAAC,EAAE,GAAGC,EAAE,QAAQ,WAAWA,EAAE,QAAQ,SAASA,EAAE,QAAQ,QAAQA,EAAE,QAAQ,UAAUA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,gCAAgCD,OAAOC,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,KAAKF,EAAE,MAAMC,EAAE,MAAM,MAAMA,EAAE,KAAK,EAAE,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIU,EAAE,IAAI,QAAQ,MAAMC,GAAG,CAAC,IAAIC,EAAE,MAAMZ,EAAE,MAAM,EAAEa,EAAED,EAAE,OAAO,CAAC,EAAE0E,IAAI,EAAEA,EAAE,OAAO,CAAC,EAAEwY,GAAGld,EAAE,OAAOE,EAAE,IAAI,WAAWD,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEpB,EAAE,OAAO,IAAI,CAAC,IAAI0E,EAAE1E,EAAE,CAAC,EAAE,EAAE,IAAI,WAAW,IAAI,YAAY,CAAC0E,EAAE,MAAM,CAAC,EAAE,MAAM,EAAExE,EAAE,IAAI,EAAEkB,CAAC,EAAEA,GAAG8b,GAAGhd,EAAE,IAAIwE,EAAEtD,CAAC,EAAEA,GAAGsD,EAAE,MAAM,CAAC3E,EAAEG,CAAC,CAAC,CAAC,EAAE1C,EAAE,KAAKsC,CAAC,CAAC,MAAMtC,EAAE,KAAK4B,EAAE,KAAK,CAAC,EAAE,GAAG,OAAOC,EAAE,MAAM,GAAG/B,EAAE,KAAK+B,CAAC,CAAC,CAAC,IAAI,EAAE,MAAM,QAAQ,IAAI7B,CAAC,EAAE,MAAM,CAAC,KAAK4f,GAAG,CAAC,EAAE,MAAM9f,CAAC,CAAC,CAAC,SAAS+f,GAAGjgB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEC,EAAE,EAAE,QAAQ,KAAK,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK0B,EAAE,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAE4V,GAAG7V,CAAC,EAAEU,EAAE,GAAG,iBAAiB,EAAE,CAAC,IAAIC,EAAE,EAAE,aAAa,GAAGA,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,GAAG,EAAE,QAAQA,GAAG,UAAUA,GAAG,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BA,EAAE,0DAA0D,UAAUA,EAAE,QAAQ,WAAW,GAAGZ,IAAI,UAAU,MAAM,IAAI,MAAM,UAAU,EAAE,0BAA0BY,EAAE,yDAAyDZ,IAAI,MAAO,OAAM,IAAI,MAAM,UAAU,EAAE,uCAAuCY,EAAE,6EAA6E,EAAE,IAAIC,EAAEid,GAAGld,EAAE,KAAK,EAAEE,EAAE7C,EAAE,MAAMK,EAAEA,EAAE4B,EAAEW,CAAC,EAAEE,EAAEH,EAAE,QAAQ,QAAQ,IAAI,WAAWE,CAAC,EAAE,IAAI,YAAYA,CAAC,EAAE,GAAGd,IAAI,UAAU,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,CAACD,EAAE,IAAI,aAAaI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEtB,EAAEsB,CAAC,EAAE,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,SAASA,EAAE,QAAQ,UAAUvC,IAAI,SAASA,EAAE8f,GAAG,GAAGxd,EAAEtC,EAAE0C,CAAC,MAAO,OAAM,IAAI,MAAM,iCAAiCH,EAAE,gCAAgC,UAAUZ,IAAI,QAAQ,CAAC,GAAGY,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiCA,EAAE,8BAA8B,EAAED,EAAE,IAAI,WAAWI,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEtB,EAAEsB,CAAC,EAAE,KAAK,MAAM,EAAErB,EAAE,MAAMA,EAAE,GAAG,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOZ,GAAG,EAAE1B,GAAG4B,EAAEW,CAAC,SAASb,IAAI,SAAS,CAAC,IAAIY,EAAEkV,GAAG,EAAE,KAAK,EAAEnV,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIC,EAAE,IAAI,YAAY7C,EAAE,MAAMK,EAAEA,EAAEyf,EAAE,CAAC,EAAE,CAAC,EAAEzf,GAAGyf,GAAG,IAAIhd,EAAE,IAAI,WAAW9C,EAAE,MAAMK,EAAEA,EAAEwC,CAAC,CAAC,EAAEH,EAAE,KAAKI,CAAC,EAAEzC,GAAGwC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAEkd,GAAG9d,CAAC,EAAEa,EAAE5C,EAAE,MAAMK,EAAEA,EAAE4B,EAAEU,CAAC,EAAE,GAAGZ,IAAI,UAAUW,EAAE,IAAI,aAAaE,CAAC,UAAUb,IAAI,QAAQW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,OAAOW,EAAE,IAAI,WAAWE,CAAC,UAAUb,IAAI,YAAY,CAACW,EAAE,IAAI,aAAaE,CAAC,EAAE,IAAIC,EAAE,IAAI,aAAaH,EAAE,OAAO,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,OAAO,CAAC,EAAE,QAAQ4E,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,IAAIzE,EAAEyE,CAAC,EAAE5E,EAAE4E,EAAE,CAAC,EAAExE,EAAEwE,CAAC,EAAE5E,EAAE4E,EAAE,EAAE,CAAC,EAAE,IAAItD,EAAE/G,GAAG4F,EAAEb,EAAE,SAAS,EAAE,EAAE/E,GAAG6F,EAAEd,EAAE,SAAS,EAAE9B,EAAE,CAAC,EAAE/Q,GAAG6U,EAAE,CAAC,EAAEA,EAAE,QAAQ,EAAE,EAAE,QAAQ,CAAC,KAAM,OAAM,IAAI,MAAM,gCAAgC,OAAOjC,GAAG,EAAE1B,GAAG4B,EAAEU,CAAC,CAACZ,IAAI,cAAc7B,EAAE,CAAC,EAAEjD,GAAGyF,EAAEV,EAAED,CAAC,EAAE,CAAC,OAAO7B,CAAC,CAAC,SAAS8f,GAAGhgB,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,UAAUA,CAAC,GAAG,EAAE,IAAI,EAAE,EAAEE,EAAE,CAAC,EAAEF,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,EAAE,WAAWE,EAAE,KAAK,EAAE,aAAa,EAAE,OAAO,WAAW,EAAE,IAAI,EAAE,YAAY,CAAC,CAAC,EAAE,EAAE,aAAa,cAAc,aAAa,YAAY,aAAa,YAAY,MAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAI,WAAW,CAAC,EAAEC,EAAE,EAAE,OAAOH,EAAE,QAAQ,GAAG,CAACE,EAAE,IAAI,IAAI,WAAW,EAAE,MAAM,EAAEC,CAAC,EAAEA,GAAG,EAAE,UAAU,CAAC,EAAED,EAAE,MAAM,CAAC,IAAI+f,GAAG,OAAO,QAAQ,cAAc,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,OAAO,MAAM,aAAa,SAASC,GAAGpgB,EAAE,CAAC,OAAOmgB,GAAG,OAAO,WAAWngB,CAAC,EAAE,IAAI,KAAK,CAACA,CAAC,CAAC,EAAE,IAAI,CAAC,SAASqgB,GAAGrgB,EAAE,CAAC,GAAGmgB,GAAG,OAAO,OAAO,KAAKngB,CAAC,EAAE,SAAS,QAAQ,EAAE,IAAI,EAAE,IAAI,WAAWA,CAAC,EAAEE,EAAE,GAAG,QAAQE,EAAE,EAAEC,EAAE,EAAE,OAAOD,EAAEC,EAAED,IAAIF,GAAG,OAAO,aAAa,EAAEE,CAAC,CAAC,EAAE,OAAO,KAAKF,CAAC,CAAC,CAAC,SAASogB,GAAGtgB,EAAE,CAAC,GAAGmgB,GAAG,CAAC,IAAI/f,EAAE,OAAO,KAAKJ,EAAE,QAAQ,EAAE,OAAOI,EAAE,OAAO,MAAMA,EAAE,WAAWA,EAAE,WAAWA,EAAE,UAAU,CAAC,CAAC,IAAI,EAAE,KAAKJ,CAAC,EAAEE,EAAE,IAAI,WAAW,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEF,EAAE,IAAI,CAAC,EAAE,WAAWE,CAAC,CAAC,EAAEA,CAAC,EAAE,OAAOF,EAAE,MAAM,CAAC,SAASqgB,GAAGvgB,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAE,CAAC,EAAE,IAAI,EAAE,EAAEA,EAAE,QAAQK,GAAG,CAAC,GAAGA,EAAE,UAAU,CAAC,EAAE,IAAIH,EAAE,IAAI,WAAW,CAAC,EAAEE,EAAE,EAAE,OAAOJ,EAAE,QAAQK,GAAG,CAACH,EAAE,IAAI,IAAI,WAAWG,CAAC,EAAED,CAAC,EAAEA,GAAGC,EAAE,UAAU,CAAC,EAAEH,EAAE,MAAM,CAAC,SAASsgB,GAAGxgB,EAAE,CAAC,IAAI,EAAE,IAAI,IAAIA,EAAEA,EAAE,KAAK,EAAEA,EAAE,SAAS,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,IAAIE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,SAASugB,GAAGzgB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcF,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,gBAAgB,CAAC,EAAE,OAAOA,EAAE,WAAW,OAAOE,EAAE,UAAUF,EAAE,WAAWA,EAAE,qBAAqB,OAAOE,EAAE,oBAAoBF,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOE,EAAE,iBAAiBF,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOE,EAAE,qBAAqBF,EAAE,sBAAsBA,EAAE,gBAAgB,OAAOE,EAAE,eAAeF,EAAE,gBAAgBE,CAAC,CAAC,SAASwgB,GAAG1gB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,cAAcJ,EAAE,cAAc,OAAOA,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,WAAW,EAAE,GAAGA,EAAE,gBAAgB,OAAOI,EAAE,eAAeJ,EAAE,gBAAgBA,EAAE,iBAAiB,KAAK,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAG,CAACE,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAEE,EAAE,YAAY,EAAEA,EAAE,WAAWF,CAAC,CAAC,OAAOF,EAAE,WAAW,OAAOI,EAAE,UAAUJ,EAAE,WAAWA,EAAE,qBAAqB,OAAOI,EAAE,oBAAoBJ,EAAE,qBAAqBA,EAAE,kBAAkB,OAAOI,EAAE,iBAAiBJ,EAAE,kBAAkBA,EAAE,sBAAsB,OAAOI,EAAE,qBAAqBJ,EAAE,sBAAsBI,CAAC,CAAC,eAAeugB,GAAG3gB,EAAE,EAAE,CAAC,IAAIE,EAAEE,EAAE,OAAOJ,EAAE,iBAAiB,OAAO,CAACE,EAAEE,CAAC,EAAE,MAAM,EAAEJ,EAAE,eAAe,GAAG0gB,GAAG1gB,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASwgB,GAAG5gB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,CAAC,UAAU,IAAI,KAAK,kBAAkB,OAAO,mBAAmBA,EAAE,eAAe,KAAK,EAAEogB,GAAG,KAAK,UAAUpgB,EAAE,aAAa,CAAC,EAAE,iBAAiBA,EAAE,aAAa,KAAK,EAAEogB,GAAG,KAAK,UAAUpgB,EAAE,WAAW,CAAC,EAAE,gBAAgBA,EAAE,YAAY,KAAK,EAAEA,EAAE,WAAW,UAAU,CAAC,CAAC,SAAS6gB,GAAG7gB,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAK,GAAGE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,SAAS4gB,IAAI,CAAC,IAAI9gB,EAAEE,GAAG,CAAC,IAAIE,EAAEF,GAAG,GAAGG,EAAE,EAAE,KAAK,EAAED,EAAE,UAAUC,GAAG,QAAQD,IAAI,EAAE,OAAOA,GAAG,SAASC,GAAG,UAAUD,EAAEC,CAAC,EAAE,EAAE,IAAI,YAAY,IAAI,EAAE,EAAE,CAAC,EAAE,EAAE,QAAQH,EAAE,EAAEA,EAAE,KAAKA,IAAI,EAAEA,CAAC,EAAEF,EAAEE,CAAC,EAAE,QAAQA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAEA,CAAC,EAAE,WAAWA,EAAE,MAAM,IAAI,OAAO,CAAC,CAAC,SAAS6gB,IAAI,CAAC,IAAI/gB,EAAE,IAAI,YAAY,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,EAAE,WAAWA,EAAE,EAAE,EAAE,WAAWA,EAAE,EAAE,EAAE,WAAW,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,CAAC,EAAE,GAAG,GAAG,QAAQ,EAAE,GAAG,EAAE,GAAG,IAAIA,EAAE,CAAC,EAAE,YAAY,EAAE,IAAI,IAAI,OAAOA,CAAC,CAAC,SAASghB,IAAI,CAAC,IAAIhhB,EAAE,IAAI,YAAY,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAE,GAAG,IAAIA,EAAE,CAAC,EAAE,KAAK,OAAOA,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAE,EAAEA,CAAC,CAAC,SAASkgB,IAAI,CAAC,IAAIlgB,EAAE8gB,GAAG,EAAE,EAAEC,GAAG,EAAE7gB,EAAE8gB,GAAG,EAAE,OAAO5gB,GAAG,CAAC,IAAIC,EAAE,IAAI,YAAY,EAAED,EAAE,MAAM,EAAE,EAAE,IAAI,YAAYC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,IAAI,CAAC,IAAI2B,EAAE3B,EAAE,CAAC,EAAE4B,EAAEhC,EAAEE,EAAE6B,GAAG,EAAE,GAAGA,EAAE,KAAK,EAAE,EAAEA,GAAG,EAAE,EAAE,EAAE,CAAC,EAAEC,CAAC,CAAC,OAAO,IAAI,aAAa3B,CAAC,CAAC,CAAC,CAAC,IAAI4gB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,mBAAmBrgB,EAAE,CAACqgB,GAAG,YAAY,EAAE,YAAY,KAAKrgB,CAAC,CAAC,CAAC,OAAO,mBAAmBA,EAAE,CAACqgB,GAAG,YAAY,EAAE,YAAY,KAAKrgB,CAAC,CAAC,CAAC,OAAO,gBAAgBA,EAAE,CAAC,OAAOqgB,GAAG,YAAYrgB,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgBA,EAAEV,EAAE,CAAC,OAAO+gB,GAAG,YAAYrgB,EAAE,OAAOV,CAAC,CAAC,CAAC,OAAO,YAAYU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,OAAOH,IAAI,OAAO+gB,GAAG,YAAY,EAAE,YAAYA,GAAG,YAAY,EAAE,aAAa,QAAQnf,GAAG,CAAC,IAAIC,EAAED,EAAElB,EAAE,CAAC,EAAEmB,IAAI,MAAM1B,EAAE,KAAK0B,CAAC,CAAC,CAAC,EAAE1B,CAAC,CAAC,EAAE6gB,GAAGlhB,GAAGihB,GAAG,mBAAmBjhB,CAAC,EAAEmhB,GAAGnhB,GAAGihB,GAAG,mBAAmBjhB,CAAC,EAAEohB,GAAGphB,GAAGihB,GAAG,gBAAgBjhB,CAAC,EAAEqhB,GAAG,CAACrhB,EAAE,IAAIihB,GAAG,gBAAgBjhB,EAAE,CAAC,EAAMshB,GAAG,eAAeC,GAAG,EAAEC,GAAG,eAAeC,GAAG,mBAAmB,SAASC,IAAI,CAAC,GAAG,CAAC9vB,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIoO,EAAE,OAAO,QAAQ,YAAY,KAAK,OAAO,EAAEA,EAAE,WAAWA,EAAE,cAAcA,EAAE,iBAAiBA,EAAE,aAAaA,EAAE,cAAc,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,2DAA2D,EAAE,OAAO,CAAC,CAAC,SAAS2hB,GAAG3hB,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,EAAE,kBAAkBwhB,GAAG,CAAC,QAAQ,WAAW,CAAC,EAAE,EAAE,kBAAkBC,GAAG,CAAC,QAAQ,WAAW,CAAC,CAAC,CAAC,IAAIG,GAAG,KAAK,CAAC,YAAYhhB,EAAE,CAAC,GAAG,KAAK,UAAU8gB,GAAG,EAAE9gB,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,KAAK,UAAUA,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,OAAO,KAAK,eAAe,KAAK,UAAUA,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,SAAS,CAAC,CAAC,eAAeA,EAAEV,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEG,IAAI,CAAC,IAAIwB,EAAE,KAAK,UAAU,KAAKyf,GAAGC,EAAE,EAAE1f,EAAE,gBAAgB,IAAI8f,GAAG9f,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAED,EAAE,OAAO,GAAG3B,GAAG,KAAK,CAAC,IAAI6B,EAAED,EAAE,YAAY0f,GAAG,UAAU,EAAEvf,EAAEF,EAAE,YAAYyf,EAAE,EAAE,IAAI,KAAK,SAAS,EAAEvf,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAEzB,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC,EAAE,EAAE4B,EAAE,OAAO,cAAc,CAAC,EAAEA,EAAE,QAAQS,IAAIZ,EAAE,MAAM,EAAEzB,EAAE4B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAID,EAAE,MAAM,CAAC,KAAK,CAAC,IAAIC,EAAE6e,GAAG1gB,CAAC,EAAE8B,EAAEF,EAAE,YAAY2f,GAAG,WAAW,EAAE,EAAEzf,EAAE,YAAYyf,EAAE,EAAE/e,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,mBAAmBX,CAAC,CAAC,EAAE,EAAEW,EAAE,UAAU,IAAI,CAAC,EAAEZ,EAAE,YAAY0f,GAAG,WAAW,EAAE,IAAI3e,EAAE,EAAE,YAAY2e,EAAE,EAAE,IAAI,CAAC,UAAU,KAAK,UAAU,eAAethB,EAAE,mBAAmB6B,CAAC,CAAC,EAAEc,EAAE,UAAU,IAAI,EAAE,CAAC,mBAAmBd,CAAC,CAAC,EAAEc,EAAE,QAAQC,GAAG,CAAC,EAAEd,EAAE,YAAYyf,EAAE,EAAE,IAAI,EAAE,EAAE,OAAO,KAAK,SAAS,EAAE,EAAE,UAAU,KAAK3f,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,GAAG,EAAE,QAAQoB,IAAInC,EAAE,MAAM,EAAEzB,EAAEwC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,QAAQE,IAAId,EAAE,MAAM,EAAEzB,EAAEqC,EAAE,KAAK,GAAGV,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKF,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAED,EAAE,QAAQC,GAAGzB,EAAEwB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE+f,GAAG,WAAW,eAAe,IAAIC,GAAG7hB,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW4hB,GAAG,UAAU,EAAEE,GAAG9hB,EAAE,MAAM4hB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAKX,GAAG,mBAAmBY,EAAE,EAAEZ,GAAG,mBAAmBY,EAAE,EAAE,SAASC,GAAG9hB,EAAE,CAAC,OAAO,IAAI4hB,GAAG5hB,CAAC,CAAC,CAAC,SAAS+hB,GAAG/hB,EAAE,CAAC,OAAOA,EAAE,WAAW4hB,GAAG,UAAU,EAAE5hB,EAAE,MAAM4hB,GAAG,WAAW,MAAM,EAAE5hB,CAAC,CAAC,IAAIgiB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,UAAUN,GAAG,CAAC,CAAC,MAAM,YAAY,CAAC,OAAO,IAAI,QAAQ,CAAC9gB,EAAEV,IAAI,CAAC,IAAI,EAAE,KAAK,UAAU,KAAKohB,GAAGC,EAAE,EAAE,EAAE,gBAAgB,IAAII,GAAG,CAAC,EAAE,EAAE,UAAU,IAAI,CAAC,IAAIthB,EAAE,EAAE,OAAOwB,EAAExB,EAAE,YAAYohB,GAAG,UAAU,EAAE1f,EAAEF,EAAE,YAAY4f,EAAE,EAAE,OAAO,EAAE1f,EAAE,UAAU,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAOC,EAAEC,EAAE,SAAS,EAAEA,EAAE,mBAAmBrB,EAAEoB,CAAC,CAAC,EAAED,EAAE,QAAQC,IAAI3B,EAAE,MAAM,EAAEH,EAAE6B,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAIxB,EAAE,MAAM,CAAC,EAAE,EAAE,QAAQA,GAAGH,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYU,EAAE,CAAC,OAAOA,EAAEmhB,GAAGnhB,CAAC,EAAE,IAAI,QAAQ,CAACV,EAAE,IAAI,CAAC,IAAIG,EAAE,KAAK,UAAU,KAAKihB,GAAGC,EAAE,EAAElhB,EAAE,gBAAgB,IAAIshB,GAAGthB,CAAC,EAAEA,EAAE,UAAU,IAAI,CAAC,IAAIwB,EAAExB,EAAE,OAAOyB,EAAED,EAAE,YAAY4f,GAAG,WAAW,EAAE1f,EAAED,EAAE,YAAY2f,EAAE,EAAEzf,EAAED,EAAE,IAAInB,CAAC,EAAE,EAAEoB,EAAE,UAAU,IAAI,CAAC,GAAGA,EAAE,QAAQ,KAAK,OAAOH,EAAE,MAAM,EAAE,EAAE,IAAI,MAAM,gCAAgCjB,kBAAkB,CAAC,EAAE,CAAC,IAAI8B,EAAEX,EAAE,OAAOnB,CAAC,EAAE,EAAE,IAAI,CAAC,EAAEiB,EAAE,YAAY2f,GAAG,WAAW,EAAE,IAAI3e,EAAE,EAAE,YAAY2e,EAAE,EAAE,OAAO5gB,CAAC,EAAEiC,EAAE,UAAU,IAAI3C,EAAE8B,EAAE,OAAO,kBAAkB,EAAEa,EAAE,QAAQC,GAAG,EAAEd,EAAE,KAAK,CAAC,EAAEU,EAAE,UAAU,EAAEA,EAAE,QAAQE,IAAI,EAAE,EAAEf,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,EAAE,CAAC,EAAEA,EAAE,QAAQU,IAAIb,EAAE,MAAM,EAAE,EAAEG,EAAE,KAAK,GAAGF,EAAE,WAAW,IAAI,CAAC,GAAG,KAAKD,EAAE,MAAM,EAAE,EAAE,WAAW,IAAIA,EAAE,MAAM,CAAC,CAAC,EAAExB,EAAE,QAAQwB,GAAG,EAAExB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM4hB,GAAG,IAAIC,GAAG,sBAAsBC,GAAG,OAAOC,GAAG,iBAAiBC,GAAG,eAAeC,GAAG,cAAcC,GAAG,iBAAiB,SAASC,GAAGxiB,EAAE,CAAC,MAAM,CAAC,KAAK,CAACkiB,GAAGliB,EAAEmiB,EAAE,EAAE,KAAKF,EAAE,EAAE,SAAS,CAACC,GAAGliB,EAAEoiB,EAAE,EAAE,KAAKH,EAAE,EAAE,YAAY,CAACC,GAAGliB,EAAEqiB,EAAE,EAAE,KAAKJ,EAAE,EAAE,WAAW,CAACC,GAAGliB,EAAEsiB,EAAE,EAAE,KAAKL,EAAE,EAAE,cAAc,CAACC,GAAGliB,EAAEuiB,EAAE,EAAE,KAAKN,EAAE,CAAC,CAAC,CAAC,SAASQ,GAAGziB,EAAE,CAAC,QAAQ,KAAK,OAAO,OAAOA,CAAC,EAAE,OAAO,aAAa,WAAW,CAAC,CAAC,CAAC,SAAS0iB,GAAG1iB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMiiB,EAAE,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uBAAuBjiB,GAAG,EAAE,OAAO,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,KAAKiiB,EAAE,CAAC,CAAC,SAASU,GAAG3iB,EAAE,CAAC,OAAOA,EAAE,WAAW4iB,GAAG,UAAU,EAAE5iB,EAAE,MAAM4iB,GAAG,WAAW,MAAM,EAAE5iB,CAAC,CAAC,IAAI4iB,GAAG,KAAK,CAAC,YAAYhiB,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,QAAQ,YAAY,GAAG,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,MAAM,IAAI,MAAM,yDAAyD,EAAE,GAAG,KAAK,GAAG,OAAO,aAAagP,GAAG,MAAM,CAACA,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,UAAUA,EAAE,KAAK,KAAK4hB,GAAG,KAAK,SAAS,CAAC,CAAC,MAAM,KAAK5hB,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,0FAA0F,EAAE,CAAC,IAAIV,EAAE,KAAK,UAAUU,EAAE,aAAa,EAAE,EAAE,KAAK,UAAUA,EAAE,WAAW,EAAEP,EAAEugB,GAAGhgB,CAAC,EAAE,GAAG,CAAC,KAAK,GAAG,QAAQ,KAAK,KAAK,KAAK,KAAK,UAAUP,CAAC,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,SAASH,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAY,CAAC,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAWmgB,GAAGzf,EAAE,UAAU,CAAC,EAAE,IAAIiB,EAAE,CAAC,OAAOjB,EAAE,OAAO,YAAYA,EAAE,YAAY,YAAYA,EAAE,YAAY,UAAUA,EAAE,WAAW,KAAKA,EAAE,UAAU,OAAO,oBAAoBA,EAAE,qBAAqB,KAAKA,EAAE,oBAAoB,OAAO,iBAAiBA,EAAE,kBAAkB,KAAKA,EAAE,iBAAiB,OAAO,qBAAqBA,EAAE,sBAAsB,KAAKA,EAAE,qBAAqB,OAAO,eAAeA,EAAE,gBAAgB,KAAKA,EAAE,eAAe,MAAM,EAAE,OAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,cAAc,KAAK,UAAUiB,CAAC,CAAC,EAAE,CAAC,mBAAmBxB,CAAC,CAAC,OAAOwB,EAAN,CAAS,MAAM4gB,GAAG,KAAK,IAAI,EAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkHpiB,EAAE,wCAAwCA,EAAE,qCAAqCA,EAAE,kBAAkB,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIO,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY,EAAE,GAAGA,EAAE,oBAAoB,OAAO,MAAM,IAAI,MAAM,2EAA2E,EAAE,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB,EAAEA,EAAE,cAAc,EAAE,IAAIG,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB,EAAEH,EAAE,YAAYG,EAAE,IAAIwB,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa,EAAE,GAAGA,GAAG,KAAK,CAAC,IAAIE,EAAE,KAAK,MAAMF,CAAC,EAAE3B,EAAE,OAAO6B,EAAE,OAAO7B,EAAE,YAAY6B,EAAE,YAAY7B,EAAE,YAAY6B,EAAE,YAAYA,EAAE,WAAW,OAAO7B,EAAE,UAAU6B,EAAE,WAAWA,EAAE,qBAAqB,OAAO7B,EAAE,oBAAoB6B,EAAE,qBAAqBA,EAAE,kBAAkB,OAAO7B,EAAE,iBAAiB6B,EAAE,kBAAkBA,EAAE,sBAAsB,OAAO7B,EAAE,qBAAqB6B,EAAE,sBAAsBA,EAAE,gBAAgB,OAAO7B,EAAE,eAAe6B,EAAE,eAAe,CAAC,IAAID,EAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB,EAAE,OAAO5B,EAAE,WAAWogB,GAAGxe,CAAC,EAAE5B,CAAC,CAAC,EAAE0iB,GAAG,WAAW,kBAAkB,IAAIC,GAAG7iB,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW4iB,GAAG,UAAU,EAAEE,GAAG9iB,EAAE,MAAM4iB,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK3B,GAAG,mBAAmB4B,EAAE,EAAE5B,GAAG,mBAAmB4B,EAAE,EAAE,SAASC,GAAG9iB,EAAE,CAAC,OAAO,IAAI4iB,GAAG5iB,CAAC,CAAC,CAAC,IAAI+iB,GAAG,KAAK,CAAC,aAAa,CAACtL,EAAE7lB,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI,0CAA0C,EAAE6lB,EAAE,OAAO,QAAQ,aAAa,OAAO,OAAO,cAAc,YAAY,IAAI,yDAAyD,EAAE,KAAK,GAAG,OAAO,YAAY,CAAC,MAAM,YAAY,CAAC,IAAI7W,EAAE,CAAC,EAAEV,EAAEgiB,GAAGD,GAAG,EAAEA,GAAGE,GAAG,QAAQ9hB,EAAE,EAAEA,EAAE,KAAK,GAAG,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAE,KAAK,GAAG,IAAIxB,CAAC,EAAE,GAAGwB,EAAE,WAAW3B,CAAC,GAAG2B,EAAE,SAAS,CAAC,EAAE,CAAC,IAAIC,EAAE4gB,GAAG7gB,CAAC,EAAEjB,EAAEkB,CAAC,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,CAAC,CAAC,MAAM,YAAYA,EAAE,CAACA,EAAE+hB,GAAG/hB,CAAC,EAAE,IAAIV,EAAEsiB,GAAG5hB,CAAC,EAAE,GAAG,KAAK,GAAG,QAAQV,EAAE,IAAI,GAAG,KAAK,MAAM,IAAI,MAAM,8BAA8BU,IAAI,EAAE,IAAI,EAAE,KAAK,MAAM,KAAK,GAAG,QAAQV,EAAE,IAAI,CAAC,EAAE,OAAOuiB,GAAGviB,CAAC,EAAE,CAAC,CAAC,EAAM8iB,GAAG,MAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,SAAS,CAAC,CAAC,CAAC,OAAO,aAAa,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,gBAAgBriB,EAAEV,EAAE,CAACuX,EAAE7W,GAAG,KAAK,IAAI,uCAAuC,EAAEA,EAAE,SAASoiB,EAAE,IAAIpiB,EAAEA,EAAE,MAAM,EAAEA,EAAE,QAAQoiB,EAAE,CAAC,GAAGvL,EAAE7W,EAAE,OAAO,EAAE,IAAI,qCAAqC,EAAE,IAAI,EAAEqiB,GAAG,YAAY,EAAExL,EAAE,EAAE,SAAS7W,CAAC,GAAG,KAAK,IAAI,2DAA2DA,KAAK,EAAE,EAAE,SAASA,CAAC,EAAEV,CAAC,CAAC,OAAO,WAAWU,EAAE,CAAC,IAAIV,EAAE+iB,GAAG,YAAY,EAAE,SAASriB,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAI,MAAM,yCAAyCU,IAAI,EAAE,OAAOV,CAAC,CAAC,OAAO,YAAY,CAAC,OAAO,OAAO,KAAK+iB,GAAG,YAAY,EAAE,QAAQ,CAAC,CAAC,EAAE,SAASC,GAAGljB,EAAE,CAAC,GAAGA,EAAE,QAAQgjB,EAAE,IAAI,GAAG,MAAM,IAAI,MAAM,6EAA6EC,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG,EAAE,MAAM,CAAC,OAAOjjB,EAAE,MAAMgjB,EAAE,EAAE,CAAC,EAAE,KAAKhjB,EAAE,MAAMgjB,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,eAAeG,GAAGnjB,EAAE,EAAEE,EAAE,GAAG,CAACuX,EAAEzX,IAAI,EAAE,IAAI,wCAAwCA,IAAI,EAAE,IAAII,EAAE6gB,GAAG,gBAAgBjhB,CAAC,EAAEyX,EAAErX,EAAE,OAAO,EAAE,IAAI,kEAAkEJ,IAAI,EAAEyX,EAAErX,EAAE,OAAO,EAAE,IAAI,yCAAyCA,EAAE,wCAAwCJ,IAAI,EAAE,IAAIK,EAAED,EAAE,CAAC,EAAE,EAAE6gB,GAAG,gBAAgB,CAAC,EAAExJ,EAAE,EAAE,OAAO,EAAE,IAAI,uEAAuE,IAAI,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,yCAAyCrX,EAAE,6CAA6C,IAAI,EAAE,IAAI,EAAE,EAAE,CAAC,EAAE2B,EAAEmhB,GAAGljB,CAAC,EAAE,OAAOgC,EAAEkhB,GAAGljB,CAAC,EAAE,KAAKiC,EAAEF,IAAImhB,GAAGljB,CAAC,EAAE,OAAO0C,EAAE,MAAMrC,EAAE,KAAK,EAAEH,GAAG+B,GAAG,MAAMghB,GAAG,WAAWlhB,CAAC,EAAE,YAAYC,CAAC,EAAE,IAAIW,EAAE,MAAM,EAAE,KAAKD,CAAC,EAAE,OAAOxC,GAAG,CAAC+B,GAAG,MAAMghB,GAAG,WAAWlhB,CAAC,EAAE,YAAYC,CAAC,EAAEW,EAAE,kBAAkB,CAAC,eAAeygB,IAAI,CAAC,IAAIpjB,EAAEijB,GAAG,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ/iB,KAAKF,EAAE,CAAC,IAAII,EAAE,MAAM6iB,GAAG,WAAW/iB,CAAC,EAAE,WAAW,EAAE,QAAQG,KAAKD,EAAE,CAAC,IAAI,EAAEF,EAAE8iB,GAAG3iB,EAAE,EAAE,CAAC,EAAED,EAAEC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,eAAegjB,GAAGrjB,EAAE,CAAC,IAAI,EAAEkjB,GAAGljB,CAAC,EAAE,OAAOijB,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI,CAAC,CAAC,eAAeK,GAAGtjB,EAAE,EAAE,CAAC,OAAOmjB,GAAGnjB,EAAE,EAAE,EAAE,CAAC,CAAC,eAAeujB,GAAGvjB,EAAE,EAAE,CAAC,OAAOmjB,GAAGnjB,EAAE,EAAE,EAAE,CAAC,CAAC,IAAIwjB,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,YAAY,mBAAmB,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,iBAAiB,EAAE,CAAC,MAAM5iB,EAAEV,EAAE,CAAC,OAAO,MAAMU,EAAEV,CAAC,CAAC,CAAC,KAAK,CAAC,OAAO,YAAY,IAAI,CAAC,CAAC,OAAOU,EAAEV,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,kDAAkDA,GAAG,EAAE,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,IAAI,aAAa,KAAK,YAAY,OAAOU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,OAAO,IAAI,YAAYA,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,iBAAiBA,EAAEV,EAAE,CAAC,GAAG,OAAO,QAAQ,aAAa,CAACtO,EAAE,EAAE,QAAQ,sBAAsB,EAAE,CAAC,WAAWgP,EAAEV,CAAC,EAAE,MAAM,CAAC,KAAK,aAAa,KAAKU,CAAC,EAAE,WAAW,IAAI,CAAC,OAAO,YAAY,CAAC,KAAK,KAAK,YAAY,MAAM,KAAK,aAAa,OAAO,CAAC,EAAE,GAAG,CAAC,EAAEV,CAAC,EAAE,KAAK,mBAAmB,KAAK,iBAAiB,GAAG,OAAO,iBAAiB,UAAU,GAAG,CAAC,GAAG,EAAE,SAAS,QAAQ,EAAE,KAAK,OAAO,KAAK,YAAY,CAAC,EAAE,gBAAgB,EAAE,IAAIG,EAAE,KAAK,aAAa,EAAE,KAAK,KAAK,EAAEA,EAAE,EAAE,KAAK,sBAAsB,KAAK,sBAAsB,KAAK,aAAa,SAAS,KAAK,aAAa,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,aAAaO,EAAE,CAAC,OAAOA,aAAa,cAAcA,aAAa,YAAYA,aAAa,YAAYA,aAAa,iBAAiB,CAAC,EAAE,GAAGhP,EAAE,EAAE,IAAI,YAAY,EAAE,CAACA,EAAE,EAAE,YAAY,UAAU,IAAI4xB,EAAE,EAAE,GAAG,CAACP,GAAG,gBAAgBL,GAAG,WAAW,IAAIG,EAAE,CAAC,OAAO/iB,EAAN,CAAS,CAAC,GAAG,CAACijB,GAAG,gBAAgBrB,GAAG,WAAW,IAAII,EAAE,CAAC,OAAOhiB,EAAN,CAAS,CAAC,CAAC,IAAIyjB,GAAG,CAAC,YAAY,IAAI1gB,GAAG,CAAC,EAAE2gB,GAAOC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK3gB,GAAG,EAAE,KAAK,YAAY,IAAI,KAAK,KAAK,WAAW,CAAC,MAAMpC,EAAEV,EAAE,CAAC,OAAOtO,EAAE,EAAE,OAAO,OAAO,KAAKA,EAAE,EAAE,OAAO,MAAMgP,EAAEV,CAAC,GAAGwjB,IAAI,OAAOA,GAAGD,GAAG,YAAY,GAAGC,GAAG9iB,EAAEV,CAAC,EAAE,CAAC,KAAK,CAAC,IAAIU,EAAE,QAAQ,OAAO,EAAE,OAAOA,EAAE,CAAC,EAAE,IAAIA,EAAE,CAAC,EAAE,GAAG,CAAC,OAAOA,EAAEV,EAAE,CAAC,GAAGA,IAAI,SAASA,IAAI,OAAO,MAAM,IAAI,MAAM,sDAAsDA,GAAG,EAAE,OAAO,KAAK,YAAY,OAAOU,CAAC,CAAC,CAAC,OAAOA,EAAEV,EAAE,CAAC,OAAOU,EAAE,SAAS,EAAE,GAAG,IAAI,KAAK,KAAK,YAAYV,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,KAAK,MAAM,eAAeA,CAAC,GAAG,KAAK,KAAK,MAAM,aAAaA,CAAC,GAAG,KAAK,KAAK,MAAM,aAAaA,CAAC,GAAG,KAAK,KAAK,MAAM,oBAAoBA,CAAC,CAAC,CAAC,EAAEhP,EAAE,EAAE,IAAI,SAAS,GAAG,CAACA,EAAE,EAAE,IAAI,YAAY,GAAGA,EAAE,EAAE,YAAY,OAAO,IAAI+xB,EAAE,EAAE,SAAS90B,GAAGmR,EAAE,EAAE,UAAUE,EAAE,CAAC,OAAO,EAAE,GAAG,UAAU0Z,GAAG5Z,CAAC,EAAE,IAAI7T,GAAG6T,EAAE,EAAEE,CAAC,CAAC,CAAC,SAAS0jB,GAAG5jB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,EAAE,GAAG,CAAC2Y,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmC,GAAG,EAAE,GAAG,IAAI,UAAUzY,EAAE,QAAQ,UAAU,IAAI,UAAUA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUh9B,GAAGwe,EAAEC,CAAC,CAAC,CAAC,IAAItR,GAAEyI,EAAE,CAAC,MAAMosB,EAAE,CAAC,EAAE,SAASC,GAAG7jB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,CAAC,EAAE,OAAO4e,EAAE,UAAUx5B,GAAG8a,CAAC,CAAC,CAAC,IAAIhR,GAAGsI,EAAE,CAAC,OAAOqsB,EAAE,CAAC,EAAE,SAAS3rB,GAAG8H,EAAE,EAAE,GAAG,CAAC,QAAQ,IAAIA,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC+e,GAAG,EAAE,IAAI+E,GAAG,CAAC,OAAOj1B,GAAG,KAAKE,GAAE,MAAMG,GAAG,MAAMgJ,EAAE,EAAEylB,GAAGmG,EAAE,EAAE,SAASryB,IAAK,CAACG,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,CAAC,SAASJ,IAAK,CAACI,EAAE,EAAE,IAAI,QAAQ,EAAE,CAAC,CAAC,SAASb,IAAK,CAACa,EAAE,EAAE,IAAI,+BAA+B,EAAE,EAAE,QAAQ,KAAK,wDAAwD,CAAC,CAAC,SAASpB,GAAGwP,EAAE,CAACpO,EAAE,EAAE,QAAQ,8BAA8B,GAAG,QAAQ,KAAKoO,EAAE,6EAA6E,CAAC,CAAC4d,GAAGptB,EAAE,EAAE,SAASS,IAAK,CAAC2tB,EAAE,iBAAiB,CAAC,CAAC,SAASjtB,IAAI,CAAC,OAAOitB,CAAC,CAAC,SAASzoB,IAAI,CAAC,OAAOyoB,EAAE,OAAO,CAAC,CAAC,SAASxmB,GAAI4H,EAAE,CAAC,OAAO4e,EAAE,QAAQ5e,CAAC,CAAC,CAAC,SAAStC,EAAEsC,EAAE,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,EAAE,CAAC,CAAC,CAAC,SAAShP,GAAGgP,EAAE,CAAC+d,GAAG/d,CAAC,EAAE,QAAQE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,SAAS9L,GAAG4L,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,CAAC,CAAC,CAAC,SAASpC,GAAIoC,EAAE,CAAC,OAAO4e,EAAE,KAAK5e,CAAC,CAAC,CAAC,SAASrF,GAAGqF,EAAE,CAAC,OAAO4e,EAAE,WAAW5e,CAAC,CAAC,CAAC,SAASlH,IAAK,CAAC,OAAO8lB,EAAE,MAAM,CAAC,CAAC,SAAS7rB,IAAK,CAAC,OAAO6rB,EAAE,WAAW,CAAC,SAASnlB,GAAIuG,EAAE,CAAC4e,EAAE,cAAc5e,CAAC,CAAC,CAAC,SAAS1N,GAAI0N,EAAE,CAAC,OAAO4e,EAAE,YAAY5e,CAAC,CAAC,CAAC,SAASzN,GAAIyN,EAAE,CAAC,OAAO4e,EAAE,mBAAmB5e,CAAC,CAAC,CAAC,SAAS/G,GAAG+G,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO0e,EAAE,gBAAgB5e,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASnS,IAAI,CAAC,OAAO6wB,EAAE,OAAO,CAAC,SAAShkB,GAAIoF,EAAE,EAAE,CAACpO,EAAE,EAAE,YAAYoO,EAAE,CAAC,CAAC,CAAC,SAAS+jB,GAAG/jB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUv+B,GAAGggB,CAAC,CAAC,CAAC,IAAInT,EAAEsK,EAAE,CAAC,KAAKusB,EAAE,CAAC,EAAE,SAASC,GAAGhkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,EAAEI,EAAEqf,EAAE,EAAE,IAAI,UAAU,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUr6B,GAAG8b,CAAC,CAAC,CAAC,IAAI5N,GAAG+E,EAAE,CAAC,UAAUwsB,EAAE,CAAC,EAAE,SAASC,GAAGjkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,GAAG,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASE,EAAE,QAAQ,QAAQ,OAAO3N,GAAGyN,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOwe,EAAE,UAAUz1B,GAAGkX,EAAE,CAAC,CAAC,CAAC,IAAInP,GAAGsG,EAAE,CAAC,KAAKysB,EAAE,CAAC,EAAE,SAASC,GAAGlkB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUl3B,GAAG2Y,CAAC,CAAC,CAAC,IAAIvJ,EAAEU,EAAE,CAAC,KAAK0sB,EAAE,CAAC,EAAE,SAASC,GAAGnkB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,KAAK,EAAE,GAAG,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU58B,GAAGke,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU9+B,GAAGogB,CAAC,CAAC,CAAC,CAAC,IAAInT,GAAGyK,EAAE,CAAC,KAAK2sB,EAAE,CAAC,EAAE,SAASC,GAAGpkB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU7+B,GAAGmgB,CAAC,CAAC,CAAC,IAAIlT,GAAGwK,EAAE,CAAC,MAAM4sB,EAAE,CAAC,EAAE,SAASC,GAAGrkB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU5+B,GAAGkgB,CAAC,CAAC,CAAC,IAAIjT,GAAGuK,EAAE,CAAC,OAAO6sB,EAAE,CAAC,EAAE,SAASC,GAAGtkB,EAAE,CAACyX,EAAE,MAAM,QAAQzX,CAAC,EAAE,IAAI,4DAA4D,EAAEyX,EAAEzX,EAAE,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE,IAAI,CAACK,EAAE,IAAIof,EAAEpf,EAAE,UAAU,IAAI,MAAM,CAAC,EAAEH,EAAE,EAAE,CAAC,EAAE,EAAE,QAAQG,GAAG,CAAC,GAAGA,EAAE,QAAQH,EAAE,MAAM,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,EAAE,QAAQG,GAAG,CAAC,GAAG,CAACsX,GAAGtX,EAAE,MAAMH,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,0DAA0D,CAAC,CAAC,EAAE,IAAIE,EAAE,EAAE,OAAOwe,EAAE,UAAUt+B,GAAG8f,CAAC,CAAC,CAAC,IAAIjT,GAAGqK,EAAE,CAAC,MAAM8sB,EAAE,CAAC,EAAE,SAASC,GAAGvkB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUr+B,GAAG8f,EAAEwB,CAAC,CAAC,CAAC,IAAIzU,GAAGoK,EAAE,CAAC,KAAK+sB,EAAE,CAAC,EAAE,SAASC,GAAGxkB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUp+B,GAAG6f,EAAEwB,CAAC,CAAC,CAAC,IAAIxU,GAAGmK,EAAE,CAAC,KAAKgtB,EAAE,CAAC,EAAE,SAASC,GAAGzkB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUn+B,GAAG,EAAE4f,CAAC,CAAC,CAAC,IAAI/S,GAAGkK,EAAE,CAAC,QAAQitB,EAAE,CAAC,EAAE,SAASC,GAAG1kB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUl+B,GAAG,EAAE2f,CAAC,CAAC,CAAC,IAAI9S,GAAGiK,EAAE,CAAC,QAAQktB,EAAE,CAAC,EAAE,SAASC,GAAG3kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUj+B,GAAGuf,CAAC,CAAC,CAAC,IAAI1S,GAAGgK,EAAE,CAAC,MAAMmtB,EAAE,CAAC,EAAE,SAASC,GAAG5kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUh+B,GAAGsf,CAAC,CAAC,CAAC,IAAIzS,GAAG+J,EAAE,CAAC,OAAOotB,EAAE,CAAC,EAAE,SAASC,GAAG7kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU/9B,GAAGqf,CAAC,CAAC,CAAC,IAAIxS,GAAG8J,EAAE,CAAC,MAAMqtB,EAAE,CAAC,EAAE,SAASC,GAAG9kB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,EAAEI,EAAEqf,EAAE,EAAE,IAAI,OAAO,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU99B,GAAGuf,CAAC,CAAC,CAAC,IAAI1S,GAAG6J,EAAE,CAAC,OAAOstB,EAAE,CAAC,EAAE,SAASC,GAAG/kB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU79B,GAAGmf,CAAC,CAAC,CAAC,IAAItS,GAAG4J,EAAE,CAAC,OAAOutB,EAAE,CAAC,EAAE,SAASC,GAAGhlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,IAAI,EAAEL,EAAE,CAAC,EAAE+B,EAAE,CAAC,GAAG,EAAE,CAAC,EAAEC,EAAEijB,GAAG5kB,CAAC,EAAE,OAAO6kB,GAAGllB,EAAE+B,EAAE7B,EAAE,EAAEE,EAAE,KAAK,KAAK4B,CAAC,CAAC,CAAC,SAASmjB,GAAGnlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,eAAe,CAAC,GAAG,CAAC0B,EAAEC,CAAC,EAAEojB,GAAG,CAAC,EAAEnjB,EAAE,GAAG,IAAI,eAAeA,EAAE,CAACF,EAAEC,EAAEhC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,UAAU,IAAI,gBAAgBiC,EAAE,CAACF,EAAEC,EAAEhC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOklB,GAAGllB,EAAEiC,EAAE/B,EAAEE,EAAEC,EAAE,EAAE,GAAG,CAAC,CAAC,CAAC,SAASglB,GAAGrlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,QAAQ,CAAC,GAAG,CAAC0B,EAAEC,EAAEC,CAAC,EAAEqjB,GAAG,CAAC,EAAE5iB,EAAEC,EAAE,GAAG,IAAI,QAAQA,EAAE,eAAeD,EAAE,CAACX,EAAEC,EAAEC,EAAEjC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,UAAU,IAAI,QAAQ2C,EAAE,gBAAgBD,EAAE,CAACX,EAAEC,EAAEC,EAAEjC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,OAAOulB,GAAGvlB,EAAE0C,EAAExC,EAAEE,EAAEC,EAAE,GAAGsC,EAAE,CAAC,CAAC,CAAC,SAASuiB,GAAGllB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,eAAe,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,EAAE,EAAE,GAAGZ,IAAI,eAAe,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE3C,UAAU+B,IAAI,gBAAgB,CAACC,EAAEW,EAAEV,EAAES,CAAC,EAAE1C,MAAO,OAAM,IAAI,MAAM,sBAAsB+B,GAAG,EAAE,GAAG,CAACa,EAAEC,EAAE,CAACC,CAAC,EAAE,EAAE,CAACkB,EAAE,CAAC,EAAEohB,GAAGllB,CAAC,EAAE,CAACoH,EAAE,CAAC,EAAE8d,GAAGhlB,CAAC,EAAEqE,EAAE+gB,GAAG5iB,EAAE0E,CAAC,EAAE5C,EAAE8gB,GAAG3iB,EAAE,CAAC,EAAE,CAAC,QAAQ8B,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAE4gB,GAAGplB,EAAE4B,EAAES,EAAEsB,EAAE,EAAES,EAAEC,EAAE,EAAE3C,CAAC,EAAEgD,EAAE,EAAEjC,EAAEH,EAAEG,EAAEyE,EAAE,OAAOxF,IAAI,gBAAgBwF,EAAE,CAACvF,EAAE+C,EAAEH,EAAEC,CAAC,EAAE9C,IAAI,iBAAiBwF,EAAE,CAACvF,EAAE4C,EAAEC,EAAEE,CAAC,GAAG,CAAC,UAAU/C,EAAE,WAAWD,EAAE,SAASE,EAAE,QAAQS,EAAE,WAAWC,EAAE,UAAUiC,EAAE,SAASC,EAAE,YAAYE,EAAE,QAAQJ,EAAE,aAAaX,EAAE,YAAY,EAAE,aAAapB,EAAE,YAAYC,EAAE,sBAAsB4B,EAAE,qBAAqBC,EAAE,eAAe4C,EAAE,cAAc,EAAE,QAAQtH,EAAE,SAASuH,EAAE,YAAY,CAAC,CAAC,CAAC,SAASge,GAAGvlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,eAAe0B,EAAE,CAAC,GAAG,CAACC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE,EAAE,GAAG,IAAI,eAAe,CAACZ,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE5C,UAAU,IAAI,gBAAgB,CAACgC,EAAEY,EAAEX,EAAES,EAAEC,CAAC,EAAE3C,MAAO,OAAM,IAAI,MAAM,sBAAsB,GAAG,EAAE,GAAG,CAAC6C,EAAEC,EAAEkB,EAAE,CAAC,CAAC,EAAE,EAAE,CAACsD,EAAE,EAAE7C,CAAC,EAAE6gB,GAAGplB,CAAC,EAAE,CAACwE,EAAEC,EAAEC,CAAC,EAAE0gB,GAAGllB,CAAC,EAAEyE,EAAE2gB,GAAG3iB,EAAE6B,CAAC,EAAEK,EAAEygB,GAAG1iB,EAAE6B,CAAC,EAAE4C,EAAEie,GAAGxhB,EAAEY,CAAC,EAAE,CAAC,QAAQI,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,EAAEugB,GAAGrlB,EAAE4B,EAAES,EAAEC,EAAE2E,EAAE,EAAE7C,EAAEI,EAAEE,EAAEwC,EAAExF,CAAC,EAAEqD,EAAE,EAAE,EAAExC,EAAE,EAAEyC,EAAE,OAAO,IAAI,gBAAgBA,EAAE,CAACrD,EAAEoD,EAAEH,EAAEC,EAAEC,CAAC,EAAE,IAAI,iBAAiBE,EAAE,CAACrD,EAAEiD,EAAEC,EAAEC,EAAEC,CAAC,GAAG,CAAC,UAAUpD,EAAE,WAAW,EAAE,QAAQC,EAAE,SAASS,EAAE,QAAQC,EAAE,WAAWC,EAAE,SAASqC,EAAE,UAAUC,EAAE,SAASC,EAAE,YAAYC,EAAE,QAAQJ,EAAE,YAAYsC,EAAE,aAAa,EAAE,YAAY7C,EAAE,YAAY5B,EAAE,aAAaC,EAAE,YAAYkB,EAAE,qBAAqBa,EAAE,sBAAsBE,EAAE,qBAAqBwC,EAAE,cAAc7C,EAAE,eAAeC,EAAE,cAAcC,EAAE,QAAQ5E,EAAE,SAASqF,EAAE,YAAY,CAAC,CAAC,CAAC,SAASsgB,GAAG3lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAACD,GAAG,OAAOA,EAAEwlB,GAAG5lB,EAAE,EAAEE,CAAC,GAAG,IAAI,EAAEF,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE+B,EAAE8jB,IAAI,EAAE,EAAE,EAAEzlB,GAAGF,EAAE,EAAEG,CAAC,EAAE2B,EAAE6jB,IAAI,EAAE,EAAE,EAAEzlB,GAAGF,EAAE,EAAEG,CAAC,EAAE,MAAM,CAAC0B,EAAEC,CAAC,CAAC,CAAC,SAAS8jB,GAAG9lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAEulB,GAAG5lB,EAAE,EAAE,CAAC,EAAEI,EAAE,CAAC,CAAC,GAAG,IAAI,EAAE,CAAC,EAAE,EAAE,EAAEF,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAEA,IAAI/B,EAAE+B,CAAC,EAAE,EAAE1B,GAAG,EAAE0B,CAAC,IAAI,EAAEA,CAAC,EAAE8jB,IAAI7lB,EAAE+B,CAAC,EAAE,EAAEA,CAAC,EAAE,EAAE1B,GAAGD,EAAE2B,CAAC,EAAE,EAAE,CAAC,GAAG,OAAO,CAAC,CAAC,SAAS6jB,GAAG5lB,EAAE,EAAEE,EAAEE,EAAE,EAAE,CAAC,IAAIC,EAAEmlB,GAAG,EAAEplB,CAAC,EAAE,OAAO,KAAK,OAAOJ,EAAE,CAAC,GAAGE,EAAE,GAAGA,EAAEG,GAAG,CAAC,CAAC,CAAC,SAAS+kB,GAAGplB,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,EAAE,SAAS,EAAE,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAEA,CAAC,CAAC,SAASslB,GAAGtlB,EAAE,CAAC,OAAO,OAAOA,GAAG,SAAS,CAACA,EAAEA,EAAEA,CAAC,EAAEA,CAAC,CAAC,SAASwlB,GAAGxlB,EAAE,EAAE,CAAC,OAAO,GAAG,EAAEA,EAAEA,GAAGA,EAAE,IAAI,EAAE,EAAE,CAAC,SAASylB,GAAGzlB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAES,EAAEC,EAAE,GAAG,OAAO3C,GAAG,SAAS,CAACiC,EAAE,CAAC,IAAIjC,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAI6C,EAAE8iB,GAAG,CAAC,EAAEzlB,CAAC,EAAE,EAAEE,EAAEJ,EAAE+B,CAAC,EAAEW,EAAEG,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,CAAC,SAAS7C,IAAI,OAAO,CAAC0C,EAAE,KAAK,KAAK,EAAEtC,CAAC,EAAEuC,EAAE,KAAK,KAAKzC,EAAEG,CAAC,EAAE,IAAIuC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAE,CAAC,EAAEyC,EAAE,KAAK,IAAI,GAAGF,EAAE,GAAGtC,EAAE,EAAEH,CAAC,EAAE4C,EAAE,KAAK,MAAMF,EAAE,CAAC,EAAEoB,EAAEpB,EAAEE,EAAE,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEyE,EAAEzE,EAAE,EAAEZ,EAAE,CAAC,IAAIa,EAAE,OAAOkB,EAAE,KAAK,EAAE,MAAMsD,EAAE,KAAK,MAAM,CAAC,SAAStH,IAAI,QAAQiC,EAAE,CAAC,IAAI,EAAE,OAAO,EAAE,KAAK,EAAE,MAAM,EAAE,KAAK,OAAO,EAAES,EAAE,KAAK,MAAM,EAAE,EAAE,GAAGtC,CAAC,EAAEuC,EAAE,KAAK,MAAMzC,EAAE,EAAE,GAAGG,CAAC,UAAU,OAAOL,GAAG,SAAS,CAAC,IAAI4C,EAAEZ,IAAI,eAAehC,EAAE,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAE6C,EAAEb,IAAI,eAAehC,EAAE,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAE8C,EAAEd,IAAI,eAAehC,EAAE,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAEgE,EAAEhC,IAAI,eAAehC,EAAE,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAEiC,EAAE,CAAC,IAAIW,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMkB,EAAE,KAAKpB,IAAI,GAAGC,IAAI,GAAGC,IAAI,GAAGkB,IAAI,EAAE,QAAQ,UAAU,EAAEtB,EAAEmjB,IAAI,EAAE,EAAEjjB,EAAEC,GAAGzC,EAAE,EAAE2B,CAAC,EAAEY,EAAEkjB,IAAI3lB,EAAE,EAAE4C,EAAEkB,GAAG3D,EAAE,EAAE0B,CAAC,CAAC,KAAM,OAAM,MAAM,8BAA8B/B,GAAG,EAAE,MAAM,CAAC,QAAQiC,EAAE,UAAUS,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS+iB,GAAG1lB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAEC,EAAEC,EAAEC,EAAE,GAAG9C,IAAI,UAAUA,EAAE,GAAG,OAAOA,GAAG,SAAS,CAAC2C,EAAE,CAAC,IAAI3C,EAAE,OAAOA,EAAE,KAAKA,EAAE,MAAMA,EAAE,MAAMA,EAAE,KAAKA,EAAE,KAAKA,IAAI,EAAE,QAAQ,QAAQ,EAAE,IAAIiE,EAAE6hB,GAAG,CAAC,EAAE5lB,EAAEE,EAAE,CAAC,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,EAAE,CAAC,EAAEL,EAAE0C,CAAC,EAAEE,EAAEqB,EAAE,CAAC,EAAEpB,EAAEoB,EAAE,CAAC,EAAEnB,EAAEmB,EAAE,CAAC,CAAC,SAASjE,IAAI,OAAO,CAAC4C,EAAE,KAAK,KAAK,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,KAAK3C,EAAE,CAAC,EAAE4C,EAAE,KAAK,KAAK1C,EAAE,CAAC,EAAE,IAAI4D,GAAGpB,EAAE,GAAGvC,EAAE0B,EAAE,EAAE,GAAGc,EAAE,GAAG,EAAEb,EAAE9B,EAAEoH,GAAGxE,EAAE,GAAG,EAAEb,EAAE7B,EAAE,EAAE,KAAK,MAAM4D,EAAE,CAAC,EAAES,EAAET,EAAE,EAAEU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAED,EAAEE,EAAE,KAAK,MAAM0C,EAAE,CAAC,EAAEzC,EAAEyC,EAAE1C,EAAEjC,EAAE,CAAC,IAAI+B,EAAE,OAAOC,EAAE,KAAKC,EAAE,MAAMC,EAAE,MAAM,EAAE,KAAKJ,EAAE,KAAK,MAAM,CAAC,KAAM,OAAM,MAAM,8BAA8BzE,GAAG,EAAE,MAAM,CAAC,QAAQ2C,EAAE,SAASC,EAAE,UAAUC,EAAE,SAASC,CAAC,CAAC,CAAC,SAAS+iB,GAAG7lB,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,OAAO,KAAK,MAAMA,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,IAAI,OAAO,OAAO,KAAK,KAAKA,CAAC,EAAE,IAAI,QAAQ,OAAO,KAAK,MAAMA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,wBAAwB,GAAG,CAAC,CAAC,CAAC,SAAS+lB,GAAG/lB,EAAE,CAAC,GAAG,CAAC,EAAEE,EAAEE,CAAC,EAAEglB,GAAGplB,CAAC,EAAE,OAAO,IAAI,GAAGE,IAAI,GAAGE,IAAI,CAAC,CAAC,SAAS4lB,GAAGhmB,EAAE,EAAE,CAAC,OAAO+lB,GAAG/lB,CAAC,GAAG+lB,GAAG,CAAC,CAAC,CAAC,SAASE,GAAGjmB,EAAE,CAAC,OAAOolB,GAAGplB,CAAC,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,CAAC,SAASilB,GAAGjlB,EAAE,CAAC,GAAGA,IAAI,OAAO,MAAM,eAAe,GAAGA,IAAI,OAAO,MAAM,gBAAgB,MAAM,IAAI,MAAM,sBAAsBA,GAAG,CAAC,CAAC,SAASkmB,GAAGlmB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,OAAO,GAAG,SAAS,MAAM,MAAM,YAAYF,wDAAwDE,iBAAiB,IAAI,EAAE,GAAG,OAAO,GAAG,SAASuX,EAAEM,GAAG,CAAC,EAAE,IAAI,YAAY/X,wDAAwDE,iBAAiB,IAAI,UAAU,OAAO,GAAG,SAAS,EAAE,QAAQE,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACoX,EAAEM,GAAG1X,CAAC,EAAE,IAAI,YAAYL,wDAAwDE,iBAAiBG,IAAI,CAAC,CAAC,CAAC,CAAC,MAAO,OAAM,MAAM,YAAYL,iCAAiC,GAAG,CAAC,CAAC,CAAC,SAASmmB,GAAGnmB,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUp1B,GAAG,EAAE6W,CAAC,CAAC,CAAC,IAAI3G,EAAElC,EAAE,CAAC,SAAS2uB,EAAE,CAAC,EAAE,SAASC,GAAGpmB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,UAAU,SAAS,EAAE,EAAE,EAAEyX,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAE,IAAI6B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,OAAO,EAAEmkB,GAAG,UAAU9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEic,EAAE,UAAU59B,GAAGihB,EAAES,CAAC,EAAE,OAAOC,EAAE5T,GAAE4T,EAAE,EAAE,KAAK,EAAEX,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI9U,GAAG2J,EAAE,CAAC,SAAS4uB,EAAE,CAAC,EAAE,SAASC,GAAGrmB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,YAAY,SAAS,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE0V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEA,EAAE,OAAOvX,GAAG,UAAUA,EAAE,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,CAAC,EAAE,GAAGA,EAAE,CAAC,EAAE,GAAGA,EAAE,CAAC,EAAE,EAAE,IAAI,oDAAoDA,IAAI,EAAEgmB,GAAG,YAAY9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEic,EAAE,UAAU39B,GAAGghB,EAAES,CAAC,EAAE,OAAOC,EAAE5T,GAAE4T,EAAEZ,EAAE,KAAK,EAAEC,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI7U,GAAG0J,EAAE,CAAC,WAAW6uB,EAAE,CAAC,EAAE,SAASC,GAAGtmB,EAAE,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,EAAE,IAAI,oCAAoC,EAAE,IAAIE,EAAEwf,GAAG1f,EAAE,UAAU,SAAS,mBAAmB,EAAE,GAAGE,EAAE,CAAC,EAAE,QAAQ,aAAaA,EAAE,QAAQ,GAAG,CAAC,GAAG,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM;AAAA,uBACjyxD,EAAE,SAAS,CAAC,CAAC,EAAEA,EAAE,SAAS,EAAE,OAAOhR,GAAGgR,EAAE,CAAC,CAAC,EAAE,IAAIE,EAAEF,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAU38B,GAAGme,EAAEC,CAAC,CAAC,CAAC,IAAIjR,GAAGoI,EAAE,CAAC,QAAQ8uB,EAAE,CAAC,EAAE,SAASC,GAAGvmB,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE,EAAEyf,EAAE,EAAE,IAAI,QAAQ,EAAE,CAACpf,EAAE,CAAC,EAAE4d,GAAG5d,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE0B,EAAE,CAAC,WAAW7B,EAAE,WAAWE,CAAC,EAAE,OAAOwe,EAAE,UAAUv9B,GAAG,EAAE0gB,CAAC,CAAC,CAAC,IAAIpM,GAAG6B,EAAE,CAAC,QAAQ+uB,EAAE,CAAC,EAAE,SAASC,GAAGxmB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUr0B,GAAG2V,CAAC,CAAC,CAAC,IAAIhF,GAAG1D,EAAE,CAAC,SAASgvB,EAAE,CAAC,EAAE,SAASC,GAAGzmB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAKF,CAAC,EAAE,OAAO0e,EAAE,UAAUj0B,GAAG0V,EAAE,CAAC,CAAC,CAAC,IAAI9E,GAAG/D,EAAE,CAAC,OAAOivB,EAAE,CAAC,EAAE,SAASC,GAAG1mB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU3yB,GAAGiU,CAAC,CAAC,CAAC,IAAIlD,GAAGxF,EAAE,CAAC,MAAMkvB,EAAE,CAAC,EAAE,SAASC,GAAG3mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,aAAa,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,aAAa,eAAe,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,eAAe,EAAE+B,EAAEwd,EAAErf,EAAE,OAAO,eAAe,EAAEsC,EAAE+c,EAAEpf,EAAE,IAAI,eAAe,EAAEsC,EAAE8c,EAAE,EAAE,IAAI,eAAe,EAAE7c,EAAExT,GAAG,CAAC6S,EAAEU,CAAC,EAAE,CAAC,EAAEE,EAAElN,GAAGiN,EAAEb,CAAC,EAAEe,EAAE5V,EAAE2V,EAAEb,CAAC,EAAEgC,EAAElB,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEwE,EAAE,CAACtD,EAAE,CAAC,EAAE,EAAEzI,GAAGuH,EAAE,CAAC,EAAE,CAAC,EAAEwE,CAAC,EAAE7C,EAAElJ,GAAGuH,EAAE,CAAC,EAAE,CAAC,EAAEwE,CAAC,EAAE5C,EAAEnJ,GAAGuH,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEwE,CAAC,EAAE3C,EAAEpJ,GAAGuH,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEwE,CAAC,EAAE1C,EAAE1X,EAAE4J,EAAEoE,GAAG,CAAC,EAAE8B,GAAGyH,CAAC,CAAC,EAAE3N,EAAE4L,EAAExH,GAAGhO,EAAE,EAAEwX,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE/N,EAAEkG,GAAG4H,CAAC,EAAE1J,GAAGyJ,CAAC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI5W,GAAGuJ,EAAE,CAAC,eAAemvB,EAAE,CAAC,EAAE,SAASC,GAAG5mB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,gBAAgB,EAAEK,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAID,EAAEC,CAAC,EAAEyV,EAAErX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,iBAAiBA,EAAE,+CAA+C,EAAE,QAAQ,EAAEqX,EAAEvX,EAAE,SAAS,EAAE,OAAO,IAAI,mBAAmBA,EAAE,oDAAoD,EAAE,QAAQ,EAAEuX,EAAErX,EAAE,MAAM,CAAC,EAAEC,IAAI,EAAE,IAAI,yBAAyBD,EAAE,MAAM,CAAC,uEAAuE,EAAE,KAAK,KAAK,SAASC,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAMF,CAAC,EAAE,OAAO0e,EAAE,UAAUt9B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIgN,GAAGkJ,EAAE,CAAC,gBAAgBovB,EAAE,CAAC,EAAE,SAASC,GAAG7mB,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,EAAE,OAAO,EAAE,EAAEtG,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,SAAS8mB,GAAG9mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,MAAM,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAEtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE1V,EAAE,OAAOC,EAAE,KAAK,IAAI,8EAA8E,EAAEyV,EAAE/U,GAAG,MAAMX,EAAE,OAAOW,EAAE,KAAK,IAAI,4EAA4E,EAAE+U,EAAExV,GAAG,MAAMF,EAAE,OAAOE,EAAE,KAAK,IAAI,2EAA2E,EAAE,IAAIW,EAAE,CAAC,EAAEikB,GAAG,CAAC,EAAE,MAAM5kB,EAAE,OAAOS,EAAE,KAAKX,EAAE,SAASC,CAAC,EAAEa,EAAE,CAAC,gBAAgB,CAAC,EAAEC,EAAE8b,EAAE,UAAUn6B,GAAGme,EAAEC,CAAC,EAAE,OAAOnJ,EAAEoJ,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI5U,GAAGsJ,EAAE,CAAC,WAAWsvB,EAAE,CAAC,EAAE,SAASC,GAAG/mB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI9T,GAAGqJ,EAAE,CAAC,aAAauvB,EAAE,CAAC,EAAE,SAASC,GAAGhnB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI7T,GAAGoJ,EAAE,CAAC,aAAawvB,EAAE,CAAC,EAAE,SAASC,GAAGjnB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE0d,EAAE,EAAE,OAAO,WAAW,EAAEzd,EAAEyd,EAAEvf,EAAE,WAAW,WAAW,EAAE+B,EAAE5B,GAAG,OAAO4B,EAAEwd,EAAEpf,EAAE,QAAQ,WAAW,GAAG,IAAIqC,EAAE,OAAOtC,GAAG,OAAOsC,EAAE+c,EAAErf,EAAE,SAAS,WAAW,GAAGqX,EAAE,EAAE,OAAO,EAAE,IAAI,uDAAuD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,oEAAoEA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,wEAAwEA,EAAE,OAAO,EAAEC,GAAG,MAAMwV,EAAExV,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,qEAAqEA,EAAE,OAAO,EAAES,GAAG,MAAM+U,EAAE/U,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAExU,GAAG,EAAE6T,EAAEC,EAAEU,EAAET,EAAE,CAAC,CAAC,CAAC,IAAI5T,GAAGmJ,EAAE,CAAC,aAAayvB,EAAE,CAAC,EAAE,SAASC,GAAGlnB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,UAAU,EAAEK,EAAEof,EAAE,EAAE,UAAU,UAAU,EAAEhI,EAAErX,EAAE,QAAQ,QAAQ,IAAI,yDAAyDA,EAAE,OAAO,EAAEqX,EAAEvX,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAEuX,EAAEpX,EAAE,OAAOD,EAAE,MAAMC,EAAE,OAAO,EAAE,IAAI,gGAAgGD,EAAE,yBAAyBC,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAED,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,KAAKH,CAAC,EAAE,OAAO0e,EAAE,UAAUr9B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIgN,GAAGiJ,EAAE,CAAC,UAAU0vB,EAAE,CAAC,EAAE,SAASC,GAAGnnB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,gBAAgB,OAAO,EAAEI,EAAEqf,EAAE,EAAE,KAAK,gBAAgB,OAAO,EAAE,GAAGvf,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oEAAoEA,EAAE,MAAM,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,GAAGH,EAAE,GAAGE,CAAC,EAAE,OAAOwe,EAAE,UAAUp9B,GAAG6e,CAAC,CAAC,CAAC,IAAI5R,GAAG+I,EAAE,CAAC,eAAe2vB,EAAE,CAAC,EAAE,SAASC,GAAGpnB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,cAAc,GAAG,EAAEI,EAAEF,EAAE,MAAM,GAAG0Z,GAAG,CAAC,EAAE,EAAE,OAAO1Z,EAAE,KAAK,MAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAOA,EAAE,KAAK,CAAC,IAAI,EAAEA,EAAE,MAAM,MAAM,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,CAAC,EAAEA,EAAExG,EAAEwG,EAAE,CAAC,CAAC,CAAC,IAAIG,EAAEH,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,OAAO,EAAE,GAAG,EAAE,IAAI,GAAGG,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,UAAUH,EAAE,MAAM,CAAC,IAAI,EAAE,MAAM,IAAI,MAAM,mBAAmBE,8BAA8B,KAAK,EAAE,GAAG,EAAE,IAAI,CAAC,EAAEsC,IAAI,EAAE,EAAEA,EAAE,EAAE,EAAE,OAAO,GAAG,GAAG,CAAC,EAAE,SAAS,EAAE,OAAOxT,GAAGgR,CAAC,EAAE,IAAI6B,EAAE,CAAC,EAAE7B,CAAC,EAAE8B,EAAE,CAAC,KAAK,CAAC,EAAE,OAAO4c,EAAE,UAAUxyB,GAAG2V,EAAEC,CAAC,CAAC,CAAC,IAAItT,GAAG8I,EAAE,CAAC,aAAa4vB,EAAE,CAAC,EAAE,SAASC,GAAGrnB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU/8B,GAAGqe,CAAC,CAAC,CAAC,IAAIlR,GAAGwI,EAAE,CAAC,MAAM6vB,EAAE,CAAC,EAAE,SAASh1B,GAAG2N,EAAE,EAAEE,EAAE,CAAC0Z,GAAG5Z,CAAC,EAAE,IAAII,EAAE,CAAC,MAAMJ,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,OAAO0e,EAAE,UAAUx6B,GAAG,CAAC,EAAEgc,CAAC,CAAC,CAAC,SAASknB,GAAGtnB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,aAAa,EAAE,GAAGyX,EAAE,GAAGvX,EAAE,IAAI,uBAAuB,yCAAyCA,KAAK,EAAE,IAAIA,EAAE,OAAO7N,GAAG+N,EAAE,MAAM,EAAEA,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAaF,CAAC,EAAE,OAAO0e,EAAE,UAAU98B,GAAGue,EAAE,CAAC,CAAC,CAAC,IAAIpR,GAAGuI,EAAE,CAAC,aAAa8vB,EAAE,CAAC,EAAE,SAASC,GAAGvnB,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAI3Q,GAAGmI,EAAE,CAAC,UAAU+vB,EAAE,CAAC,EAAE,SAASC,GAAGxnB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAI1Q,GAAGkI,EAAE,CAAC,UAAUgwB,EAAE,CAAC,EAAE,SAASC,GAAGznB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAIzQ,GAAGiI,EAAE,CAAC,UAAUiwB,EAAE,CAAC,EAAE,SAASC,GAAG1nB,EAAE,EAAE,CAAC,OAAO5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,IAAIxQ,GAAGgI,EAAE,CAAC,UAAUkwB,EAAE,CAAC,EAAE,SAASC,GAAG3nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,SAAS,SAAS,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,SAAS,SAAS,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEkkB,GAAG,SAAS9lB,EAAE,CAAC,EAAE,IAAIuC,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEwV,EAAE9U,IAAIX,EAAE,MAAM,CAAC,EAAE,IAAI,oCAAoCW,wCAAwCX,EAAE,MAAM,CAAC,IAAI,EAAEyV,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAEuX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAI0C,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ3C,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAE8b,EAAE,UAAU18B,GAAG0gB,EAAEC,CAAC,EAAE,OAAOH,EAAEhJ,EAAEoJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAInT,GAAG6H,EAAE,CAAC,QAAQmwB,EAAE,CAAC,EAAE,SAASC,GAAG5nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,QAAQ,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,QAAQ,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEkkB,GAAG,SAAS9lB,EAAE,CAAC,EAAEqX,EAAExV,EAAE,MAAM,CAAC,IAAID,EAAE,MAAM,CAAC,EAAE,IAAI,oCAAoCC,EAAE,MAAM,CAAC,wCAAwCD,EAAE,MAAM,CAAC,IAAI,EAAEyV,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,oEAAoEA,mBAAmB,IAAI,EAAEuX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,kDAAkD,EAAEuX,EAAEpX,IAAI,MAAM,IAAI,sCAAsCA,wCAAwC,EAAE,IAAIsC,EAAEjJ,EAAEsI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEY,EAAElJ,EAAEuI,EAAE,CAACA,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEgC,EAAEtU,GAAGiT,EAAED,EAAE,CAAC,EAAEzC,CAAC,EAAEE,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsC,EAAEhJ,EAAEuK,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEvK,EAAEuK,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIvU,GAAG8H,EAAE,CAAC,QAAQowB,EAAE,CAAC,EAAE,SAASC,GAAG7nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,OAAO,EAAE,CAACoX,EAAEzX,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI+B,EAAE/B,EAAEgC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEqI,EAAE,CAAC,EAAE/B,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,GAAGyX,EAAE1V,EAAE,SAAS,EAAE,IAAI,qEAAqEA,EAAE,SAAS,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,MAAM,EAAEyV,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAE,IAAIwC,EAAE,IAAI,OAAOX,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEY,EAAE,IAAI,OAAOX,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEyV,EAAE/U,IAAIxC,EAAE,MAAM,CAAC,EAAE,IAAI,4CAA4CwC,wCAAwCxC,EAAE,MAAM,CAAC,IAAI,EAAEuX,EAAE9U,IAAIzC,EAAE,MAAM,CAAC,EAAE,IAAI,6CAA6CyC,yCAAyCzC,EAAE,MAAM,CAAC,IAAI,EAAEgmB,GAAG,iBAAiB7lB,EAAE,CAAC,EAAE,IAAIuC,EAAE,CAAC,GAAGZ,EAAE,OAAO9B,CAAC,EAAE2C,EAAE,CAAC,QAAQzC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,WAAW0B,CAAC,EAAEe,EAAE8b,EAAE,UAAUx8B,GAAGwgB,EAAEC,CAAC,EAAE,OAAOZ,EAAEvI,EAAEoJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIglB,GAAGtwB,EAAE,CAAC,qBAAqBqwB,EAAE,CAAC,EAAE,SAASE,GAAG/nB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,iBAAiB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOqI,GAAG5nB,EAAE,EAAE6B,EAAE3B,EAAEC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIzQ,GAAG4H,EAAE,CAAC,iBAAiBuwB,EAAE,CAAC,EAAE,SAASC,GAAGhoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,QAAQ,EAAEzd,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAEzV,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAEyV,EAAE1V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,MAAM,CAAC,IAAID,EAAE,MAAM,CAAC,EAAE,IAAI,oCAAoCC,EAAE,MAAM,CAAC,wCAAwCD,EAAE,MAAM,CAAC,IAAI,EAAE0V,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAEuX,EAAEpX,IAAI,QAAQ,IAAI,sCAAsCA,0CAA0C,EAAEoX,EAAEwO,GAAG,CAAC,EAAE,IAAI,yDAAyD,EAAExO,EAAEwO,GAAG/lB,CAAC,EAAE,IAAI,mDAAmD,EAAE,IAAIwC,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQzC,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,CAAC,EAAEuC,EAAEgc,EAAE,UAAUv8B,GAAGqgB,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI/S,GAAG2H,EAAE,CAAC,QAAQwwB,EAAE,CAAC,EAAE,SAASC,GAAGjoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAACoX,EAAEzX,EAAE,SAAS,EAAE,KAAK,IAAI,sBAAsBA,EAAE,2BAA2B,EAAE,kBAAkB,EAAE,IAAI,EAAEA,EAAE,EAAE,EAAE+B,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEsG,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,GAAG,IAAIgC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,MAAM,CAAC,EAAEwV,EAAE,EAAE,SAAS,EAAE,IAAI,qEAAqE,EAAE,SAAS,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,4DAA4D,EAAE,MAAM,EAAEA,EAAEvX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEuX,EAAEzV,IAAI9B,EAAE,MAAM,CAAC,EAAE,IAAI,4CAA4C8B,wCAAwC9B,EAAE,MAAM,CAAC,IAAI,EAAEuX,EAAExV,IAAI/B,EAAE,MAAM,CAAC,EAAE,IAAI,6CAA6C+B,yCAAyC/B,EAAE,MAAM,CAAC,IAAI,EAAE,IAAIwC,EAAE,CAAC,GAAG,EAAE,OAAOxC,CAAC,EAAEyC,EAAE,CAAC,IAAItC,EAAE,QAAQD,EAAE,WAAW,CAAC,EAAEwC,EAAEgc,EAAE,UAAUr8B,GAAGmgB,EAAEC,CAAC,EAAE,OAAOZ,EAAErI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIslB,GAAG1wB,EAAE,CAAC,qBAAqBywB,EAAE,CAAC,EAAE,SAASE,GAAGnoB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,iBAAiB,EAAE,EAAEyf,EAAE,EAAE,SAAS,iBAAiB,EAAE,OAAOyI,GAAGhoB,EAAE,EAAE,EAAEE,EAAEC,CAAC,CAAC,CAAC,IAAIvQ,GAAG0H,EAAE,CAAC,iBAAiB2wB,EAAE,CAAC,EAAE,SAASC,GAAGpoB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUp8B,GAAG0d,CAAC,CAAC,CAAC,IAAIlQ,GAAGwH,EAAE,CAAC,KAAK4wB,EAAE,CAAC,EAAE,SAASC,GAAGroB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUn8B,GAAGyd,CAAC,CAAC,CAAC,IAAIjQ,GAAGuH,EAAE,CAAC,MAAM6wB,EAAE,CAAC,EAAE,SAASC,GAAGtoB,EAAE,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE4d,EAAEzf,EAAE,IAAI,SAAS,CAAC,EAAE8B,EAAE,CAAC,KAAK,EAAE,UAAU5B,EAAE,QAAQE,CAAC,EAAE,OAAOwe,EAAE,UAAUj8B,GAAGkf,EAAEC,CAAC,CAAC,CAAC,IAAI3R,GAAGqH,EAAE,CAAC,SAAS8wB,EAAE,CAAC,EAAE,SAASC,GAAGvoB,EAAE,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE4d,EAAEzf,EAAE,IAAI,QAAQ,CAAC,EAAE8B,EAAE,CAAC,KAAK,EAAE,UAAU5B,EAAE,QAAQE,CAAC,EAAE,OAAOwe,EAAE,UAAUh8B,GAAGif,EAAEC,CAAC,CAAC,CAAC,IAAI1R,GAAGoH,EAAE,CAAC,QAAQ+wB,EAAE,CAAC,EAAE,SAASC,GAAGxoB,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,eAAe,EAAE,EAAEyf,EAAE,EAAE,UAAU,eAAe,EAAEhI,EAAEpX,EAAE,QAAQ,QAAQ,IAAI,8DAA8DA,EAAE,OAAO,EAAEoX,EAAEpX,EAAE,MAAM,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAEoX,EAAEvX,GAAG,EAAE,IAAI,sCAAsCA,IAAI,EAAEuX,EAAE,EAAE,OAAOpX,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,+FAA+FA,EAAE,yBAAyB,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK7B,EAAE,aAAaE,CAAC,EAAE,OAAOwe,EAAE,UAAU77B,GAAG,EAAEgf,CAAC,CAAC,CAAC,IAAIxR,GAAGiH,EAAE,CAAC,eAAegxB,EAAE,CAAC,EAAE,SAASC,GAAGzoB,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,eAAe,SAAS,EAAEK,EAAEH,IAAI,OAAOE,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,IAAI,OAAOE,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,IAAI,OAAOE,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEqX,EAAE,EAAE,EAAE,IAAI,sDAAsD,GAAG,EAAEA,EAAEpX,EAAE,GAAG,EAAE,IAAI;AAAA,MAC7xaA,SAAS;AAAA,MACTD,EAAE,OAAO,EAAEqX,EAAE,EAAE,GAAG,EAAE,IAAI;AAAA,MACxB,SAAS;AAAA,UACLrX,EAAE,OAAO,EAAEqX,EAAE,GAAG,EAAE,KAAK,EAAE,IAAI,8CAA8C,EAAE,YAAY,uCAAuCrX,EAAE,OAAO,EAAE,IAAI2B,EAAE,CAAC,EAAE3B,CAAC,EAAE4B,EAAE,CAAC,UAAU,EAAE,WAAW9B,CAAC,EAAE,OAAO0e,EAAE,UAAU57B,GAAG+e,EAAEC,CAAC,CAAC,CAAC,IAAIvR,GAAG+G,EAAE,CAAC,cAAcixB,EAAE,CAAC,EAAE,SAASC,GAAG1oB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,OAAO,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,kBAAkB,SAAS,EAAEgC,EAAEyd,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAExd,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGT,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG0V,EAAExV,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,OAAO,EAAE,IAAIW,EAAEtC,IAAI,OAAO4B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEwV,EAAE9U,IAAIX,EAAE,MAAM,CAAC,EAAE,IAAI,uDAAuDW,oDAAoDX,EAAE,MAAM,CAAC,IAAI,EAAEkkB,GAAG,kBAAkB9lB,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAAC,EAAEX,EAAE,OAAOD,CAAC,EAAEa,EAAE,CAAC,QAAQ3C,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,CAAC,EAAEyC,EAAE8b,EAAE,UAAU37B,GAAG2f,EAAEC,CAAC,EAAE,OAAOH,EAAEhJ,EAAEoJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIpS,GAAG8G,EAAE,CAAC,iBAAiBkxB,EAAE,CAAC,EAAE,SAASC,GAAG3oB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUx7B,GAAG8c,CAAC,CAAC,CAAC,IAAIrP,GAAG2G,EAAE,CAAC,MAAMmxB,EAAE,CAAC,EAAE,SAASC,GAAG5oB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,YAAY,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,YAAY,EAAEhI,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI,gEAAgE,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,EAAE,IAAI,4DAA4DA,EAAE,OAAO,EAAE0V,EAAE,IAAI,OAAO,IAAI,gFAAgF,GAAG,EAAE,IAAIzV,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAID,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEuI,EAAE,IAAIwV,EAAEzV,EAAE,MAAM,CAAC,IAAID,EAAE,MAAM,CAAC,EAAE,IAAI,oEAAoEC,EAAE,MAAM,CAAC,QAAQD,EAAE,MAAM,CAAC,GAAG,EAAE,IAAIW,EAAE,CAAC,EAAEV,EAAE,OAAOD,CAAC,EAAEY,EAAE,CAAC,QAAQzC,EAAE,IAAIE,EAAE,UAAUC,CAAC,EAAEuC,EAAEgc,EAAE,UAAUv7B,GAAGqf,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI9R,GAAG0G,EAAE,CAAC,YAAYoxB,EAAE,CAAC,EAAMj6B,GAAG,CAAC,EAAEsR,GAAGtR,GAAG,CAAC,2BAA2B,IAAIk6B,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAG9oB,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOI,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAEG,IAAI,CAAC,IAAI,EAAEH,EAAE,EAAEG,EAAE,EAAEL,EAAE,CAAC,GAAG,GAAG,EAAE,EAAE,OAAO,EAAEK,CAAC,GAAG,GAAG,GAAG,IAAI,GAAGD,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS2oB,GAAG/oB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAEL,EAAEA,EAAE,OAAOI,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOA,EAAE,EAAE,EAAE,EAAE,CAAC,GAAGC,GAAG,MAAMA,IAAI,GAAG,EAAE,IAAIH,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS2oB,GAAG7oB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,KAAK,IAAIJ,EAAE,OAAO,EAAE,MAAM,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAI,EAAEL,EAAEA,EAAE,OAAOK,EAAE,CAAC,EAAE,GAAG,OAAO,EAAE,GAAG,IAAI,EAAE,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,GAAG,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEH,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAEA,EAAE,QAAQ,CAAC,UAAU,IAAI,EAAE,CAAC,IAAI6B,EAAE,wDAAwD/B,SAAS,KAAK,MAAM,MAAM+B,CAAC,CAAC,MAAM7B,EAAE,QAAQ,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS8oB,GAAGhpB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,QAAQ,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU96B,GAAGuc,CAAC,CAAC,CAAC,IAAIxO,GAAG2F,EAAE,CAAC,OAAOwxB,EAAE,CAAC,EAAE,SAASC,GAAGjpB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAE,EAAE,IAAI,OAAO,EAAEpf,EAAEof,EAAEvf,EAAE,IAAI,OAAO,EAAE,EAAEuf,EAAEzf,EAAE,YAAY,QAAQ,MAAM,EAAE,EAAE6oB,GAAGA,GAAG,EAAE,MAAMzoB,EAAE,KAAK,EAAEC,EAAE,KAAK,EAAE0B,EAAErT,GAAG,EAAE,CAAC,EAAEsT,EAAEtT,GAAG0R,EAAE,CAAC,EAAE6B,EAAEvT,GAAG2R,EAAE,CAAC,EAAEqC,EAAE,CAAC,UAAUX,EAAE,EAAEC,EAAE,EAAEC,CAAC,EAAE,OAAO2c,EAAE,UAAUx0B,GAAGsY,CAAC,CAAC,CAAC,IAAIrD,GAAG7H,EAAE,CAAC,OAAOyxB,EAAE,CAAC,EAAE,SAASC,GAAGlpB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,CAAC,EAAE,OAAO4e,EAAE,UAAU/xB,GAAGqT,CAAC,CAAC,CAAC,IAAIV,GAAGhI,EAAE,CAAC,WAAW0xB,EAAE,CAAC,EAAE,SAASC,GAAGnpB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAEnP,GAAGgP,EAAEE,CAAC,EAAE,EAAEZ,GAAGa,CAAC,EAAE,EAAExO,GAAGuO,EAAE,CAAC,EAAE,OAAOf,GAAG,EAAE,EAAEgB,CAAC,CAAC,CAAC,IAAIlP,GAAGqG,EAAE,CAAC,UAAU2xB,EAAE,CAAC,EAAE,SAASC,GAAGppB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,KAAK,EAAEI,EAAEqf,EAAE,EAAE,KAAK,KAAK,EAAEhI,GAAGvX,EAAE,OAAO,GAAGA,EAAE,OAAO,KAAKE,EAAE,OAAO,GAAGA,EAAE,OAAO,GAAG,IAAI,+DAA+DF,EAAE,YAAYE,EAAE,OAAO,EAAE,IAAIC,EAAEH,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,CAAC,EAAE,EAAEE,EAAE,OAAO,EAAEA,EAAE,KAAKA,EAAE,MAAM,CAAC,EAAE,GAAGqX,EAAEpX,IAAI,EAAE,IAAI,gEAAgEA,SAAS,IAAI,EAAEH,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAEwG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE6B,EAAErI,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAErM,GAAG,EAAEoM,CAAC,EAAE,OAAOrI,EAAEsI,EAAE,CAAC,CAAC,CAAC,SAAS9B,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAEwG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE6B,EAAErI,EAAE0G,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE4B,EAAErM,GAAG,EAAEoM,CAAC,EAAE,OAAOrI,EAAEsI,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,SAAS9B,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,CAAC,IAAI,EAAE1G,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE2B,EAAEpM,GAAGuK,EAAE,CAAC,EAAE,OAAOxG,EAAEqI,EAAE,CAACA,EAAE,IAAI,CAAC,CAAC,KAAK,CAAC,IAAI,EAAErI,EAAE0G,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOzK,GAAGuK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI9O,GAAGoG,EAAE,CAAC,KAAK4xB,EAAE,CAAC,EAAE,SAASC,GAAGrpB,KAAK,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAI,CAACG,EAAE,IAAIof,EAAEpf,EAAE,UAAU,IAAI,QAAQ,CAAC,EAAED,EAAE,CAAC,SAASJ,CAAC,EAAE,OAAO4e,EAAE,UAAUl7B,GAAGwc,EAAEE,CAAC,CAAC,CAAC,IAAI9O,GAAGkG,EAAE,CAAC,QAAQ6xB,EAAE,CAAC,EAAE,SAASC,GAAGtpB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUj7B,GAAGuc,CAAC,CAAC,CAAC,IAAI3O,GAAGiG,EAAE,CAAC,KAAK8xB,EAAE,CAAC,EAAE,SAASC,GAAGvpB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,KAAK,EAAEyX,EAAE,EAAE,QAAQ,SAAS,EAAE,QAAQ,UAAU,IAAI,2CAA2C,EAAE,EAAE,QAAQ,UAAU,EAAE1oB,GAAE,EAAE,SAAS,GAAG,IAAImR,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU76B,GAAGmc,CAAC,CAAC,CAAC,IAAIpO,GAAG0F,EAAE,CAAC,KAAK+xB,EAAE,CAAC,EAAE,SAASC,GAAGxpB,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,GAAGF,EAAEA,EAAE,OAAOE,EAAE,CAAC,IAAI,EAAE,EAAEA,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASupB,GAAGzpB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,OAAO,EAAE,OAAOK,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI7B,EAAE,QAAQ6B,CAAC,IAAI,GAAG1B,EAAE,KAAKL,EAAE,GAAG,CAAC,EAAEK,EAAE,KAAK,EAAE,GAAG,CAAC,EAAE,OAAOA,CAAC,CAAC,SAASqpB,GAAG1pB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEI,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,IAAIF,EAAE,KAAKF,EAAE,CAAC,CAAC,EAAE,IAAIK,EAAE,EAAE,IAAI,GAAGL,EAAE,CAAC,CAAC,EAAE,MAAM,CAACE,EAAEG,CAAC,CAAC,CAAC,SAASspB,GAAG3pB,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,IAAIE,GAAG,CAAC,EAAE,OAAOqpB,GAAGzpB,EAAEE,EAAE,CAAC,CAAC,CAAC,SAAS0pB,GAAG5pB,EAAE,EAAEE,EAAE,CAACuX,EAAE+R,GAAG,EAAEtpB,CAAC,EAAE,IAAI,GAAGF,qDAAqD,cAAcE,UAAU,CAAC,CAAC,SAAS2pB,GAAG7pB,EAAE,EAAE,CAAC,GAAGwpB,GAAGxpB,EAAE,CAAC,EAAE,OAAO,KAAK,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEJ,EAAE,QAAQI,CAAC,IAAI,IAAIF,EAAE,KAAKE,CAAC,EAAE,OAAOJ,EAAE,QAAQI,GAAGF,EAAE,KAAKE,CAAC,CAAC,EAAEF,CAAC,CAAC,SAAS4pB,GAAG9pB,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,EAAEE,IAAI,CAACA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAEA,IAAI,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS6pB,GAAG/pB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS8pB,GAAGhqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE6B,EAAE,CAAC,iBAAiB,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUh4B,GAAGyZ,EAAEwB,CAAC,CAAC,CAAC,IAAIhM,GAAG2B,EAAE,CAAC,KAAKwyB,EAAE,CAAC,EAAE,SAASC,GAAGjqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUx3B,GAAGiZ,EAAEwB,CAAC,CAAC,CAAC,IAAIvL,GAAGkB,EAAE,CAAC,KAAKyyB,EAAE,CAAC,EAAE,SAASC,GAAGlqB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,OAAO,KAAK,EAAEI,EAAEqf,EAAE,EAAE,MAAM,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUp2B,GAAG6X,CAAC,CAAC,CAAC,IAAIrI,GAAGR,EAAE,CAAC,KAAK0yB,EAAE,CAAC,EAAE,SAAS/vB,GAAG6F,EAAE,EAAE,CAAC,IAAIqb,GAAGrb,CAAC,GAAG,IAAI,UAAU,MAAM,QAAQA,CAAC,IAAI,IAAI,YAAY,MAAM,IAAI,MAAM,gFAAgF,EAAE,GAAG,IAAI,UAAUqb,GAAGrb,CAAC,GAAG,EAAEA,aAAa,YAAY,MAAM,IAAI,MAAM,2EAA2E,EAAE,OAAO4f,GAAG5f,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASmqB,GAAGnqB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUvzB,GAAG6U,CAAC,CAAC,CAAC,IAAI9D,GAAG5E,EAAE,CAAC,MAAM2yB,EAAE,CAAC,EAAE,SAASC,GAAGpqB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,QAAQ,EAAEE,EAAE,CAAC,EAAE,OAAO0e,EAAE,UAAU,SAAS,CAAC,EAAE,CAAC,EAAE1e,CAAC,CAAC,CAAC,IAAI7D,GAAG7E,EAAE,CAAC,QAAQ4yB,EAAE,CAAC,EAAE,SAASC,GAAGrqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAE,QAAQ,SAASA,EAAErR,GAAEqR,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAU9yB,GAAGuU,EAAE,CAAC,CAAC,CAAC,IAAIxD,GAAGrF,EAAE,CAAC,KAAK6yB,EAAE,CAAC,EAAE,SAASC,GAAGtqB,EAAE,EAAE,YAAYE,EAAE,KAAKE,EAAE,GAAG,CAACJ,EAAEyf,EAAEzf,EAAE,IAAI,MAAM,EAAE,IAAIK,EAAEkqB,GAAGvqB,EAAE,EAAEE,CAAC,EAAE,EAAEG,EAAE,MAAM,GAAGD,EAAE,CAAC,IAAI,EAAEkY,GAAGpY,EAAEF,EAAE,KAAK,EAAE,EAAE2pB,GAAGtpB,EAAE,MAAM,CAAC,CAAC,CAAC,OAAO3G,EAAE2G,EAAE,CAAC,CAAC,CAAC,SAASkqB,GAAGvqB,EAAE,EAAEE,EAAE,KAAK,CAAC,GAAGF,EAAE,OAAO,EAAE,OAAOjT,GAAGiT,CAAC,EAAE,GAAGA,EAAE,OAAO,GAAGE,IAAI,KAAK,OAAOqqB,GAAG7wB,EAAEsG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEE,CAAC,EAAE,GAAGF,EAAE,OAAO,GAAG,OAAOE,GAAG,UAAU,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOrD,GAAG9P,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOrK,GAAG9I,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,GAAG,EAAE,OAAO5J,GAAGvJ,GAAGiT,CAAC,EAAEE,CAAC,EAAE,GAAG,IAAI,aAAa,IAAI,EAAE,OAAO9D,GAAGS,GAAG7E,GAAGjL,GAAGiT,CAAC,EAAE7F,GAAG,EAAE,OAAO,CAAC,EAAE+F,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,IAAI,EAAE,OAAOrK,GAAGgH,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,IAAI,EAAE,EAAE,OAAOrK,GAAGgH,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,GAAG,IAAI,GAAG,EAAE,OAAO5J,GAAGuG,GAAG9P,GAAGiT,CAAC,EAAEE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,GAAG,IAAI,OAAO,IAAI,YAAY,OAAO9D,GAAGS,GAAGR,GAAG2D,CAAC,EAAEE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qCAAqC,GAAG,CAAC,CAAC,MAAM,IAAI,MAAM,gCAAgCA,GAAG,CAAC,CAAC,IAAI/I,GAAGK,EAAE,CAAC,MAAM8yB,EAAE,CAAC,EAAE,SAASE,GAAGxqB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,OAAO/I,GAAG6I,EAAE,YAAY,EAAEE,CAAC,CAAC,CAAC,IAAInO,GAAGyF,EAAE,CAAC,eAAegzB,EAAE,CAAC,EAAE,SAASC,GAAGzqB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE,OAAO4e,EAAE,UAAU56B,GAAGkc,CAAC,CAAC,CAAC,IAAIlO,GAAGwF,EAAE,CAAC,KAAKizB,EAAE,CAAC,EAAE,SAASC,GAAG1qB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,mBAAmB,EAAEyX,EAAE,GAAGvX,EAAE,KAAK,IAAI,oCAAoC,EAAE,IAAIE,EAAE,CAAC,MAAMF,CAAC,EAAEG,EAAE,CAAC,IAAI,CAAC,EAAE,OAAOue,EAAE,UAAU36B,GAAGmc,EAAEC,CAAC,CAAC,CAAC,IAAIpO,GAAGuF,EAAE,CAAC,YAAYkzB,EAAE,CAAC,EAAE,SAASC,GAAG3qB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU16B,GAAGgc,CAAC,CAAC,CAAC,IAAIhO,GAAGsF,EAAE,CAAC,OAAOmzB,EAAE,CAAC,EAAE,SAASC,GAAG5qB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,mBAAmB,EAAEyX,EAAEvX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUxyB,GAAGgU,EAAEC,CAAC,CAAC,CAAC,IAAI1C,GAAGnG,EAAE,CAAC,MAAMozB,EAAE,CAAC,EAAE,SAASC,GAAG7qB,EAAE,EAAEE,EAAEE,EAAE,UAAU,CAAC,GAAG,OAAO,EAAEJ,GAAG,IAAIK,EAAExR,GAAG,CAACmR,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEJ,GAAG,EAAEA,EAAE,EAAE,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAE,IAAI,EAAE0B,EAAEA,CAAC,EAAE,IAAI,EAAErI,EAAE2G,EAAE,SAAS,EAAE,CAACL,EAAE,CAAC,CAAC,EAAE,GAAGE,GAAG,KAAK,OAAO,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAG,EAAE,CAAC,EAAE,CAACiO,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAACiO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAOvC,GAAG1L,GAAGA,GAAGA,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACiO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,qEAAqEA,EAAE,UAAU,CAAC,CAAC,IAAI/N,GAAGqF,EAAE,CAAC,KAAKqzB,EAAE,CAAC,EAAE,SAASC,GAAG9qB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUt6B,GAAG4b,CAAC,CAAC,CAAC,IAAI1N,GAAGgF,EAAE,CAAC,OAAOszB,EAAE,CAAC,EAAE,SAASC,GAAG/qB,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,QAAQ,EAAE,EAAEyf,EAAE,EAAE,UAAU,SAAS,OAAO,EAAE,EAAE,CAAC,EAAEpf,EAAE,QAAQ,CAAC,EAAE0B,EAAE,CAAC,KAAK7B,EAAE,UAAUE,CAAC,EAAE,OAAOwe,EAAE,UAAU95B,GAAG,EAAEid,CAAC,CAAC,CAAC,IAAInP,GAAG4E,EAAE,CAAC,QAAQuzB,EAAE,CAAC,EAAE,SAASC,GAAGhrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU55B,GAAGqb,CAAC,CAAC,CAAC,IAAI9M,GAAGiE,EAAE,CAAC,SAASwzB,EAAE,CAAC,EAAE,SAASC,GAAGjrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,eAAe,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,eAAe,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU35B,GAAGob,CAAC,CAAC,CAAC,IAAI7M,GAAGgE,EAAE,CAAC,cAAcyzB,EAAE,CAAC,EAAE,SAASC,GAAGlrB,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAMuf,EAAEzf,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUv5B,GAAG6a,CAAC,CAAC,CAAC,IAAIxM,GAAG8D,EAAE,CAAC,MAAM0zB,EAAE,CAAC,EAAE,SAASC,GAAGnrB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAUr5B,GAAG2a,CAAC,CAAC,CAAC,IAAIjM,GAAGuD,EAAE,CAAC,UAAU2zB,EAAE,CAAC,EAAE,SAASC,GAAGprB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUp5B,GAAG0a,CAAC,CAAC,CAAC,IAAIhM,GAAGsD,EAAE,CAAC,OAAO4zB,EAAE,CAAC,EAAE,SAASC,GAAGrrB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUn5B,GAAGya,CAAC,CAAC,CAAC,IAAI/L,GAAGqD,EAAE,CAAC,OAAO6zB,EAAE,CAAC,EAAE,SAASC,GAAGtrB,EAAE,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,WAAW,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAU74B,GAAG,EAAEsa,CAAC,CAAC,CAAC,IAAI9L,GAAGiD,EAAE,CAAC,WAAW8zB,EAAE,CAAC,EAAE,SAASC,GAAGvrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,OAAO,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU54B,GAAGqa,CAAC,CAAC,CAAC,IAAI7L,GAAGgD,EAAE,CAAC,MAAM+zB,EAAE,CAAC,EAAE,SAASC,GAAGxrB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,YAAY,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU34B,GAAGoa,CAAC,CAAC,CAAC,IAAI5L,GAAG+C,EAAE,CAAC,WAAWg0B,EAAE,CAAC,EAAE,SAAS72B,GAAGqL,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,IAAIE,EAAE,CAAC,MAAMJ,EAAE,KAAK,EAAE,IAAIE,CAAC,EAAE,OAAO0e,EAAE,UAAU14B,GAAG,CAAC,EAAEka,CAAC,CAAC,CAAC,SAASqrB,GAAGzrB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,4BAA4B,EAAEyX,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,IAAI;AAAA,sBAC52T,EAAE,OAAO,EAAEA,EAAEM,GAAG,CAAC,EAAE,IAAI,2FAA2F,IAAI,EAAE,IAAI,EAAE,EAAEhW,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAG,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAIsI,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,CAAC,YAAY,EAAE,KAAK/B,EAAE,MAAME,EAAE,KAAKC,CAAC,EAAEqC,EAAEkc,EAAE,UAAUj5B,GAAGqc,EAAEC,CAAC,EAAE,OAAOF,EAAErI,EAAEgJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI3N,GAAGyC,EAAE,CAAC,4BAA4Bi0B,EAAE,CAAC,EAAE,SAASC,GAAG1rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUz4B,GAAG+Z,CAAC,CAAC,CAAC,IAAIlL,GAAGwC,EAAE,CAAC,KAAKk0B,EAAE,CAAC,EAAE,SAASC,GAAG3rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUx4B,GAAG8Z,CAAC,CAAC,CAAC,IAAIjL,GAAGuC,EAAE,CAAC,OAAOm0B,EAAE,CAAC,EAAE,SAASt4B,GAAG2M,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,4CAA4C,EAAE,CAAC,EAAEE,IAAI,CAAC,IAAIE,EAAEqf,EAAE,EAAE,IAAI,UAAU,mBAAmB,EAAEpf,EAAEH,GAAG,KAAKuf,EAAEvf,EAAE,KAAK,SAAS,EAAE,KAAK,OAAO0e,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAI5e,EAAEI,CAAC,EAAE,CAACA,CAAC,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMqX,GAAG,EAAE,MAAMrX,EAAE,MAAM,gFAAgF,EAAEurB,GAAG,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASt4B,GAAG0M,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,6CAA6C,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,MAAM,QAAQ,CAAC,EAAE,IAAI,kFAAkF,EAAE,IAAIrX,EAAEsf,GAAG,EAAE,OAAO,WAAW,mBAAmB,EAAErf,EAAEH,GAAG,KAAKuf,EAAEvf,EAAE,KAAK,UAAU,EAAE,KAAK,OAAO0e,EAAE,KAAK,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,MAAM,CAAC,EAAEA,EAAE,UAAU,IAAI5e,EAAE,GAAGI,CAAC,EAAEA,EAAEC,CAAC,EAAE,OAAOA,GAAG,MAAMqX,GAAG,EAAE,MAAMrX,EAAE,MAAM,+FAA+F,EAAEurB,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASntB,GAAGuB,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,oDAAoD,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,aAAavrB,GAAG,IAAI,qDAAqD,EAAEurB,EAAEvX,GAAG,MAAMA,aAAahU,GAAG,IAAI,0DAA0D,EAAE,GAAG,CAAC,MAAMkU,EAAE,MAAMC,CAAC,EAAEue,EAAE,UAAU,IAAI5e,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEE,CAAC,EAAE,OAAO0rB,GAAGxrB,CAAC,EAAE,CAAC,KAAKA,EAAE,CAAC,EAAE,MAAMC,CAAC,CAAC,CAAC,CAAC,SAAS3B,GAAGsB,EAAE,CAAC,OAAOyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,qDAAqD,EAAE,CAAC,EAAEE,IAAI,CAACuX,EAAE,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMpX,GAAGA,aAAanU,EAAE,EAAE,IAAI,oEAAoE,EAAEurB,EAAEvX,GAAG,MAAMA,aAAahU,GAAG,IAAI,8DAA8D,EAAE,IAAIkU,EAAEwe,EAAE,UAAU,IAAI5e,EAAE,GAAG,CAAC,EAAE,EAAEE,CAAC,EAAE,OAAOA,GAAG,MAAMwX,GAAGtX,EAAE,MAAM,MAAMF,EAAE,MAAM,uGAAuG,EAAE0rB,GAAGxrB,EAAE,KAAK,EAAEA,CAAC,CAAC,CAAC,SAASxB,GAAGoB,EAAE,EAAE,CAACyX,EAAE0B,GAAGnZ,CAAC,EAAE,IAAI,qDAAqD,EAAEyX,EAAE,GAAG,MAAM,MAAM,QAAQ,CAAC,GAAG,EAAE,MAAMxV,GAAGA,aAAarV,EAAE,EAAE,IAAI,+EAA+E,EAAE,IAAIsT,EAAE,GAAG,KAAK,GAAG,CAACA,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ+B,KAAK2c,EAAE,oBAAoB,EAAE,KAAKA,EAAE,oBAAoB3c,CAAC,CAAC,CAAC,CAAC,IAAI7B,EAAEF,EAAE,EAAE,OAAO+B,GAAG,CAACA,EAAE,SAAS,EAAE,KAAK5B,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO4B,GAAGA,EAAE,SAAS,EAAEwV,EAAE,EAAE,OAAO,EAAE,IAAI,gGAAgGpX,2BAA2B,EAAE,IAAI,EAAE,GAAG,CAAC,MAAM,EAAE,MAAM0B,CAAC,EAAE6c,EAAE,UAAU5e,EAAE,EAAE,KAAK,CAAC,EAAEyX,EAAE1V,EAAE,KAAKE,GAAGA,GAAG,IAAI,EAAE,IAAI,8LAA8L,EAAEwV,EAAE,EAAE,OAAO,EAAE,IAAI,iFAAiF,EAAE,aAAa,EAAE,IAAIzV,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACC,EAAES,IAAI,CAACX,EAAEW,CAAC,GAAG,OAAOV,EAAEC,EAAE,IAAI,EAAEF,EAAEW,CAAC,EAAE,CAAC,EAAEtC,GAAG,MAAMA,EAAE,QAAQ6B,GAAGD,EAAEC,EAAE,IAAI,EAAE,IAAI,EAAE,CAAC,MAAM,EAAE,MAAMD,CAAC,CAAC,CAAC,SAAS3R,GAAG2P,EAAE,CAAC,OAAO4e,EAAE,WAAW5e,CAAC,CAAC,CAAC,SAAS4rB,GAAG5rB,EAAE,CAAC,GAAGA,EAAE,OAAOE,GAAGA,GAAG,IAAI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,oEACryG,CAAC,CAAC,SAAS2rB,GAAG7rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,CAAC,EAAE,OAAO4e,EAAE,UAAUj3B,GAAGuY,CAAC,CAAC,CAAC,IAAIjJ,GAAGO,EAAE,CAAC,KAAKq0B,EAAE,CAAC,EAAE,SAASC,GAAG9rB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAU/zB,GAAGqV,CAAC,CAAC,CAAC,IAAIpE,GAAGtE,EAAE,CAAC,UAAUs0B,EAAE,CAAC,EAAE,SAASC,GAAG/rB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,YAAY,EAAE,OAAO3P,GAAG,IAAI,CAAC,MAAM4G,GAAG6E,GAAG7E,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS6K,GAAGhL,EAAEgL,EAAE5G,GAAGjE,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI/B,GAAGsC,EAAE,CAAC,YAAYu0B,EAAE,CAAC,EAAE,SAASC,GAAGhsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU/yB,GAAGwU,CAAC,CAAC,CAAC,IAAIzD,GAAGpF,EAAE,CAAC,KAAKw0B,EAAE,CAAC,EAAE,SAASC,GAAGjsB,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,YAAY,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,gFAAgFA,EAAE,qBAAqB,GAAG,EAAE,OAAO7P,GAAG,CAACgQ,EAAEwB,IAAI,CAAC,IAAIE,EAAElM,GAAGwK,EAAE,EAAE,EAAE,EAAE2B,EAAEpF,GAAGyD,EAAE0B,CAAC,EAAEE,EAAErF,GAAG7N,GAAEiT,EAAE,SAAS,EAAEhN,GAAG6H,GAAG7K,GAAGgQ,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOH,EAAE,CAACI,CAAC,CAAC,EAAE,CAAC,MAAMA,EAAE,SAAS,CAACU,EAAEC,IAAI,CAAC,GAAG,CAACC,CAAC,EAAED,EAAE,EAAE,GAAGoB,EAAEhS,GAAG6Q,CAAC,EAAE,OAAOjG,GAAG+F,EAAE7L,EAAE+F,GAAG8F,EAAE,EAAE,CAAC,EAAEqB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE9D,CAAC,CAAC,CAAC,IAAI/K,GAAGqC,EAAE,CAAC,YAAYy0B,EAAE,CAAC,EAAE,SAASC,GAAGlsB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAEK,EAAEiY,GAAG,EAAElY,EAAE,KAAK,EAAE,EAAEvK,GAAGuK,EAAEC,EAAE,EAAE,EAAE,EAAEzD,GAAGwD,EAAE,CAAC,EAAE2B,EAAE/P,GAAG,CAAC,EAAEgQ,EAAEnF,GAAGkF,EAAE1B,CAAC,EAAE4B,EAAEjN,GAAGgN,CAAC,EAAEU,EAAExV,EAAEwM,EAAE,EAAEuI,EAAE,KAAK,EAAEA,CAAC,EAAE,GAAG/B,EAAE,CAAC,IAAIyC,EAAEgnB,GAAGjnB,EAAE,MAAMrC,CAAC,EAAE,OAAO3G,EAAEgJ,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAItN,GAAGoC,EAAE,CAAC,WAAW00B,EAAE,CAAC,EAAE,SAASC,GAAGnsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,aAAa,MAAM,EAAEoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt4B,GAAG+Z,CAAC,CAAC,CAAC,IAAIhL,GAAGmC,EAAE,CAAC,YAAY20B,EAAE,CAAC,EAAE,SAASC,GAAGpsB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUr4B,GAAG2Z,CAAC,CAAC,CAAC,IAAI5K,GAAGkC,EAAE,CAAC,YAAY40B,EAAE,CAAC,EAAE,SAASC,GAAGrsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,YAAY,MAAM,EAAEoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUp4B,GAAG6Z,CAAC,CAAC,CAAC,IAAI9K,GAAGiC,EAAE,CAAC,WAAW60B,EAAE,CAAC,EAAE,SAASC,GAAGtsB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,aAAa,MAAM,EAAEI,EAAEqf,EAAE,EAAE,IAAI,aAAa,MAAM,EAAE,OAAOoJ,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE/K,GAAGE,GAAGyK,EAAE,CAAC,EAAE1K,GAAGD,GAAG2K,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIxK,GAAGgC,EAAE,CAAC,YAAY80B,EAAE,CAAC,EAAMC,GAAG,WAAW,SAASC,GAAGxsB,EAAE,EAAEE,EAAE,OAAO,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,iBAAiB,cAAc,EAAEK,EAAEof,EAAE,EAAE,SAAS,cAAc,EAAE,EAAErf,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEC,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE0B,EAAErI,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE4B,EAAEtI,EAAE2G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG0B,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,GAAGA,EAAE,MAAM,CAAC,IAAIC,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAG6V,GAAG7V,EAAE,KAAK,GAAGuqB,GAAG,MAAM,IAAI,MAAM,qCAAqCA,IAAI,EAAE,GAAGxqB,EAAE,MAAM,CAAC,GAAGwqB,GAAG,MAAM,IAAI,MAAM,oCAAoCA,iCAAiCxqB,EAAE,MAAM,CAAC,GAAG,EAAE,IAAIE,EAAE,CAAC,eAAeF,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,KAAKxC,CAAC,EAAE,OAAO0e,EAAE,UAAUz0B,GAAG8X,EAAES,CAAC,CAAC,CAAC,IAAIpI,GAAG9C,EAAE,CAAC,cAAcg1B,EAAE,CAAC,EAAE,SAAS92B,GAAGsK,EAAE,EAAE,CAAC,OAAO1F,GAAG0F,EAAE,EAAE,MAAM,CAAC,CAAC,SAASysB,GAAGzsB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,SAAS,EAAE,EAAE,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,uDAAuDA,EAAE,OAAO,EAAE0V,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,wEAAwEA,oBAAoB,IAAI,EAAEgmB,GAAG,UAAU9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,CAAC,EAAEsC,EAAEic,EAAE,UAAU/3B,GAAGob,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI7M,GAAG0B,EAAE,CAAC,SAASi1B,EAAE,CAAC,EAAE,SAASC,GAAG1sB,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEE,EAAEE,EAAEC,EAAE,EAAE,QAAQ,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,WAAW,EAAE+B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAE0V,EAAE,IAAI,QAAQ,IAAI,gFAAgF,GAAG,EAAEyO,GAAG,YAAY9lB,EAAEC,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEF,CAAC,EAAEW,EAAE,CAAC,WAAW,EAAE,QAAQxC,EAAE,IAAIE,EAAE,gBAAgBC,EAAE,WAAW,CAAC,EAAEsC,EAAEic,EAAE,UAAU93B,GAAGmb,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI5M,GAAGyB,EAAE,CAAC,WAAWk1B,EAAE,CAAC,EAAE,SAASC,GAAG3sB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,CAAC,IAAIyB,EAAE,CAAC,EAAE2d,EAAEzf,EAAE,IAAI,mBAAmB,CAAC,EAAE+B,EAAE,CAAC,WAAW,EAAE,QAAQ7B,EAAE,IAAIE,EAAE,oBAAoBC,CAAC,EAAE2B,EAAE4c,EAAE,UAAU33B,GAAG6a,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,CAAC,EAAE,QAAQA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIhM,GAAGwB,EAAE,CAAC,mBAAmBm1B,EAAE,CAAC,EAAE,SAASC,GAAG5sB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAEI,EAAEqf,EAAE,EAAE,IAAI,SAAS,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASA,EAAEnR,GAAEmR,EAAE,OAAO,EAAEE,EAAErR,GAAEqR,EAAE,OAAO,GAAGyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU13B,GAAGmZ,CAAC,CAAC,CAAC,IAAIpK,GAAGuB,EAAE,CAAC,SAASo1B,EAAE,CAAC,EAAE,SAASC,GAAG7sB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE6B,EAAE,CAAC,KAAK,EAAE,SAAS3B,CAAC,EAAE,OAAO0e,EAAE,UAAUz3B,GAAGkZ,EAAEwB,CAAC,CAAC,CAAC,IAAI3L,GAAGsB,EAAE,CAAC,MAAMq1B,EAAE,CAAC,EAAE,SAASttB,GAAGS,EAAE,EAAE,UAAU,CAAC,GAAG4Z,GAAG5Z,CAAC,EAAE,IAAI,YAAY,CAAC,IAAII,EAAEb,GAAGS,EAAE,SAAS,EAAEK,EAAEd,GAAGS,EAAE,SAAS,EAAE,OAAO7Q,GAAGiR,EAAEC,CAAC,CAAC,CAAC,IAAIH,EAAEwZ,GAAG7B,GAAG7X,CAAC,EAAE,CAAC,EAAE,OAAO4e,EAAE,WAAW1e,EAAEF,EAAE,CAAC,CAAC,CAAC,SAAS1I,GAAG0I,EAAE,EAAE,UAAU,CAAC,GAAG4Z,GAAG5Z,CAAC,EAAE,IAAI,YAAY,CAAC,IAAII,EAAE9I,GAAG0I,EAAE,SAAS,EAAEK,EAAEd,GAAGS,EAAE,SAAS,EAAE,OAAO7Q,GAAGiR,EAAEC,CAAC,CAAC,CAAC,IAAIH,EAAEuZ,GAAG5B,GAAG7X,CAAC,EAAE,CAAC,EAAE,OAAO4e,EAAE,WAAW1e,EAAEF,EAAE,CAAC,CAAC,CAAC,SAAS5J,GAAG4J,EAAE,EAAE,CAAC,SAASE,EAAE,IAAI,EAAE,CAAC,EAAE,CAAC,GAAGA,IAAI,MAAMA,IAAI,KAAK,MAAM,IAAI,UAAU,GAAGA,6CAA6C,EAAE,GAAGF,IAAI,OAAO,MAAM,CAAC,EAAE,IAAII,EAAEqf,EAAEzf,EAAE,IAAI,WAAWA,aAAa9T,GAAG8T,EAAE,MAAM,SAAS,EAAE,GAAG,IAAI,OAAO,MAAM,CAACI,CAAC,EAAE,IAAIC,EAAEof,EAAE,EAAE,IAAI,WAAW,aAAavzB,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE2rB,GAAGzX,EAAE,KAAK,EAAE,EAAEyX,GAAGxX,EAAE,KAAK,EAAE,OAAOH,IAAI,MAAME,EAAE1G,EAAE0G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3G,EAAE2G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC1K,GAAG2B,GAAG,CAAC,EAAE,CAAC,EAAE8I,EAAE,KAAK,EAAEA,CAAC,EAAEzK,GAAG0K,EAAE/I,GAAG,CAAC,EAAE,CAAC,EAAE+I,EAAE,KAAK,CAAC,CAAC,IAAID,EAAE1G,EAAE0G,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEC,EAAE3G,EAAE2G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC1K,GAAGyK,EAAE9I,GAAG,CAAC,EAAE,CAAC,EAAE8I,EAAE,KAAK,CAAC,EAAEzK,GAAG2B,GAAG,CAAC,EAAE,CAAC,EAAE+I,EAAE,KAAK,EAAEA,CAAC,CAAC,EAAE,CAAC,SAASysB,GAAG9sB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAEI,EAAEqf,EAAE,EAAE,IAAI,SAAS,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEF,EAAE,QAAQ,SAASA,EAAEnR,GAAEmR,EAAE,OAAO,EAAEE,EAAErR,GAAEqR,EAAE,OAAO,GAAGyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUv3B,GAAGgZ,CAAC,CAAC,CAAC,IAAI9J,GAAGiB,EAAE,CAAC,SAASs1B,EAAE,CAAC,EAAE,SAASC,GAAG/sB,EAAE,EAAEE,EAAE,CAACuX,EAAEvX,IAAI,WAAWA,IAAI,YAAY,IAAI,+DAA+DA,IAAI,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAEqX,EAAE,EAAE,SAASrX,EAAE,KAAK,IAAI,wCAAwCA,EAAE,aAAa,EAAE,SAAS,EAAE,IAAIC,EAAEH,IAAI,UAAU,EAAE,EAAE,QAAQ6B,EAAE,EAAEA,EAAE3B,EAAE,KAAK2B,IAAI0V,EAAE,EAAE1V,CAAC,EAAE,SAAS,EAAE,IAAI,uDAAuD,EAAE0V,EAAE,EAAE1V,CAAC,EAAE,CAAC,GAAG,GAAG,EAAEA,CAAC,EAAE,CAAC,GAAG3B,EAAE,MAAM2B,CAAC,EAAE1B,GAAG,EAAE0B,CAAC,EAAE,CAAC,GAAG,GAAG,EAAEA,CAAC,EAAE,CAAC,GAAG3B,EAAE,MAAM2B,CAAC,EAAE1B,EAAE,IAAI,wBAAwB0B,wCAAwC3B,EAAE,MAAM2B,CAAC,EAAE1B,uCAAuCD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,SAAS,EAAE,KAAKF,CAAC,EAAE,EAAE,CAAC,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt3B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIkP,GAAGgB,EAAE,CAAC,WAAWu1B,EAAE,CAAC,EAAE,SAASC,GAAGhtB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,KAAK,EAAEI,EAAEqf,EAAE,EAAE,IAAI,KAAK,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUr3B,GAAG8Y,CAAC,CAAC,CAAC,IAAI5J,GAAGe,EAAE,CAAC,KAAKw1B,EAAE,CAAC,EAAE,SAASC,GAAGjtB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAACF,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,EAAE,IAAII,EAAEkY,GAAG,EAAEtY,EAAE,KAAK,EAAEK,EAAEnK,GAAG8J,EAAEI,EAAEF,CAAC,EAAE,EAAEG,EAAE,MAAMH,IAAI,EAAEypB,GAAGtpB,EAAE,MAAMD,CAAC,GAAG,IAAI,EAAE/D,GAAGO,GAAG7N,GAAEiR,EAAE,SAAS,EAAEtG,EAAE2G,EAAE,CAAC,CAAC,CAAC,EAAE0B,EAAE7L,GAAG,EAAEkK,EAAEF,CAAC,EAAE,MAAM,CAAC,KAAKG,EAAE,SAAS0B,CAAC,CAAC,CAAC,IAAInL,GAAGY,EAAE,CAAC,SAASy1B,EAAE,CAAC,EAAE,SAASC,GAAGltB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAE,EAAE,OAAO,cAAc,EAAE,EAAEC,GAAGxf,EAAE,IAAI,cAAc,EAAE,EAAEwf,GAAGtf,EAAE,IAAI,cAAc,EAAE2B,EAAE1B,EAAE2B,EAAE,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAE3C,EAAE,OAAO2C,IAAI,CAAC,IAAIC,EAAE5C,EAAE2C,CAAC,EAAEZ,EAAE,EAAEY,CAAC,EAAE,EAAEA,CAAC,CAAC,EAAEX,EAAE,KAAKY,EAAE,CAAC,CAAC,EAAEZ,EAAE,KAAKY,EAAE,CAAC,CAAC,EAAEb,EAAEa,EAAE,CAAC,CAAC,CAAC,IAAIX,EAAE,CAAC,EAAES,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEX,EAAE,OAAOW,GAAG,EAAEV,EAAE,KAAKD,EAAEW,CAAC,CAAC,EAAED,EAAE,KAAKV,EAAEW,EAAE,CAAC,CAAC,EAAE,MAAM,CAACV,EAAES,CAAC,CAAC,CAAC,IAAI3L,GAAGS,EAAE,CAAC,cAAc01B,EAAE,CAAC,EAAE,SAASC,GAAGntB,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,aAAa,EAAE,EAAEK,EAAE,KAAK,EAAEA,EAAE,KAAK,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,IAAI,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,GAAG,EAAEH,EAAEA,GAAG,KAAK,OAAO,EAAE,IAAI8B,EAAE,CAAC,OAAO,IAAI,EAAEtI,EAAE2G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEA,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAKH,EAAE,WAAWE,CAAC,EAAEsC,EAAEkc,EAAE,UAAUn3B,GAAGua,EAAE,CAAC,EAAE,OAAO,IAAI,EAAEtI,EAAEgJ,EAAE,CAACA,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAI1L,GAAGQ,EAAE,CAAC,aAAa21B,EAAE,CAAC,EAAE,SAASC,GAAGptB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,WAAW,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAU72B,GAAGsY,CAAC,CAAC,CAAC,IAAIjJ,GAAGI,EAAE,CAAC,UAAU41B,EAAE,CAAC,EAAE,SAASC,GAAGrtB,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAEC,EAAE,QAAQ,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,iDAAiD,GAAG,EAAE,IAAIyB,EAAE,CAAC,QAAQ2d,EAAEzf,EAAE,UAAU,SAAS,OAAO,CAAC,EAAE+B,EAAE,CAAC,MAAM1B,EAAE,MAAM,EAAE,QAAQH,EAAE,SAASE,CAAC,EAAE,OAAOwe,EAAE,UAAU32B,GAAG6Z,EAAEC,CAAC,CAAC,CAAC,IAAI1K,GAAGG,EAAE,CAAC,QAAQ61B,EAAE,CAAC,EAAE,SAASC,GAAGttB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,CAAC,EAAE,OAAO4e,EAAE,UAAU12B,GAAGgY,CAAC,CAAC,CAAC,IAAI3I,GAAGC,EAAE,CAAC,UAAU81B,EAAE,CAAC,EAAE,SAASC,GAAGvtB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,KAAK,cAAc,EAAEI,EAAEqf,EAAE,EAAE,KAAK,cAAc,EAAEhI,EAAEvX,EAAE,OAAO,GAAGE,EAAE,OAAO,EAAE,IAAI,+DAA+DF,EAAE,YAAYE,EAAE,OAAO,EAAE,IAAIC,EAAE3G,EAAEwG,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAExG,EAAE0G,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOzK,GAAG0K,EAAE,CAAC,CAAC,CAAC,IAAI5I,GAAGD,EAAE,CAAC,cAAc+1B,EAAE,CAAC,EAAE,SAASC,GAAGxtB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,KAAK,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAE,CAAC,SAAS,EAAE,cAAcH,CAAC,EAAE,EAAE,CAAC,EAAEE,CAAC,EAAE,OAAOwe,EAAE,UAAUt2B,GAAG,EAAE+X,CAAC,CAAC,CAAC,IAAI3I,GAAGF,EAAE,CAAC,KAAKg2B,EAAE,CAAC,EAAE,SAASC,GAAGztB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,EAAE,IAAI,kDAAkD,EAAE/f,GAAGsI,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,CAAC,IAAIvI,GAAGH,EAAE,CAAC,OAAOi2B,EAAE,CAAC,EAAE,SAASC,GAAG1tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAItI,GAAGJ,EAAE,CAAC,OAAOk2B,EAAE,CAAC,EAAE,SAASC,GAAG3tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIrI,GAAGL,EAAE,CAAC,OAAOm2B,EAAE,CAAC,EAAE,SAASC,GAAG5tB,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAOuX,EAAE,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,EAAE,IAAI,uDAAuD,EAAE/f,GAAGsI,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIpI,GAAGN,EAAE,CAAC,OAAOo2B,EAAE,CAAC,EAAE,SAASC,GAAG7tB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,gBAAgB,EAAEyX,EAAErX,EAAE,MAAM,EAAE,EAAE,OAAO,IAAI,cAAcA,EAAE,sCAAsC,EAAE,QAAQ,EAAEqX,EAAEvX,EAAE,SAAS,EAAE,OAAO,IAAI,qBAAqBA,EAAE,wCAAwC,EAAE,QAAQ,EAAEuX,EAAErX,EAAE,MAAM,OAAO,CAAC,EAAE2B,EAAEC,IAAIA,EAAE,GAAGA,GAAG,EAAE,OAAO,IAAID,EAAE7B,EAAE8B,EAAE,CAAC,EAAE,CAAC,EAAE9B,EAAE8B,EAAE,CAAC,EAAE,CAAC,GAAG,EAAEA,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,IAAI,4BAA4B5B,EAAE,MAAM,MAAM,CAAC,mBAAmBF,EAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG,EAAE,IAAIG,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAU9zB,GAAGuV,EAAE,CAAC,CAAC,CAAC,IAAItE,GAAGvE,EAAE,CAAC,gBAAgBq2B,EAAE,CAAC,EAAE,SAASC,GAAG9tB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,GAAGD,IAAI,IAAIA,EAAE,SAAS,IAAI2B,EAAE0d,EAAEzf,EAAE,IAAI,SAAS,EAAEgC,EAAED,EAAEE,EAAE,GAAGF,EAAE,OAAO,IAAIE,EAAE,GAAGD,EAAEtI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG0V,EAAEuO,GAAG,EAAE3lB,CAAC,EAAE,IAAI,qEAAqE,oBAAoBA,IAAI,EAAE,IAAIqC,EAAEyiB,GAAGnjB,EAAE,MAAM,EAAE,EAAE3B,EAAED,CAAC,EAAEuC,EAAE,CAACD,EAAE,eAAeA,EAAE,aAAa,EAAEE,EAAExC,IAAI,OAAOwC,EAAEmrB,GAAG,CAACrrB,EAAE,aAAaA,EAAE,WAAW,EAAEC,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEF,EAAE,CAAC,IAAI,GAAGA,EAAE,CAAC,IAAI,EAAE,CAACG,EAAEkB,CAAC,EAAEgqB,GAAG,CAACtrB,EAAE,SAASA,EAAE,OAAO,EAAEC,EAAEC,CAAC,EAAE,EAAEC,EAAEzC,EAAE,QAAQkH,EAAEzE,EAAEb,EAAEjG,GAAGiG,EAAEW,EAAEG,CAAC,EAAE2B,GAAGvE,IAAI,MAAM,IAAIrS,GAAGyZ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAIxR,GAAGwR,EAAE,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE5C,EAAE7B,EAAE4B,EAAEnW,GAAGmW,EAAE9B,EAAEqB,CAAC,EAAE,OAAO/B,EAAEvI,EAAEgL,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,SAASspB,GAAGhuB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,IAAIwC,GAAGA,EAAE,CAAC,CAAC,EAAErC,EAAEH,EAAE,IAAIwC,GAAGA,EAAE,CAAC,CAAC,EAAE,EAAE1C,EAAE,OAAOI,EAAEC,CAAC,EAAE,EAAE,EAAE,IAAI,CAACqC,EAAEC,KAAKD,EAAE,EAAEC,CAAC,EAAED,GAAGA,CAAC,EAAEX,EAAE1B,EAAE,IAAI,CAACqC,EAAEC,IAAID,EAAE,EAAEC,CAAC,CAAC,EAAEX,EAAE,EAAE,IAAI,CAACU,EAAEC,IAAI,CAACvC,EAAEuC,CAAC,EAAEZ,EAAEY,CAAC,CAAC,CAAC,EAAEV,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAI,CAAC,EAAE,EAAEA,CAAC,CAAC,CAAC,EAAE,MAAM,CAACX,EAAEC,CAAC,CAAC,CAAC,SAAS8rB,GAAG/tB,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,IAAI,CAAC8B,EAAEC,IAAID,GAAGA,EAAE,IAAI,EAAEC,CAAC,EAAE,EAAE,EAAE,IAAID,GAAGA,EAAE,CAAC,EAAEzB,EAAE,EAAE,IAAIyB,GAAG,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAED,EAAE,EAAE,IAAI,CAACC,EAAEC,IAAID,EAAEzB,EAAE0B,CAAC,CAAC,EAAE,OAAO,EAAE,IAAI,CAACD,EAAEC,IAAI,CAAC1B,EAAE0B,CAAC,EAAEF,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhK,GAAGP,EAAE,CAAC,MAAMs2B,EAAE,CAAC,EAAE,SAASG,GAAGjuB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,EAAEI,EAAEqf,EAAE,EAAE,QAAQ,OAAO,EAAEpf,EAAE,CAAC,EAAEH,EAAE,MAAME,CAAC,EAAE,OAAOwe,EAAE,UAAUn2B,GAAG4X,CAAC,CAAC,CAAC,IAAIpI,GAAGT,EAAE,CAAC,OAAOy2B,EAAE,CAAC,EAAE,SAASC,GAAGluB,EAAE,EAAE,KAAKE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,MAAM,EAAEI,EAAE,QAAQ,SAASA,EAAErR,GAAEqR,EAAE,OAAO,GAAG,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAASF,CAAC,EAAE,OAAO0e,EAAE,UAAUl2B,GAAG2X,EAAE,CAAC,CAAC,CAAC,IAAIlI,GAAGX,EAAE,CAAC,MAAM02B,EAAE,CAAC,EAAE,SAASC,GAAGnuB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,EAAE,IAAI,CAAC0C,EAAEC,IAAI8c,EAAE/c,EAAE,UAAUC,IAAI,eAAe,OAAO,CAAC,EAAE,EAAE8c,EAAE,EAAE,oBAAoB,cAAc,EAAE,EAAEA,EAAEvf,EAAE,UAAU,eAAe,OAAO,EAAE6B,EAAE,CAAC,mBAAmB1B,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE2B,EAAE,CAAC,iBAAiB5B,CAAC,EAAE6B,EAAE2c,EAAE,UAAU/1B,GAAGkZ,EAAEC,CAAC,EAAE,MAAM,CAAC,mBAAmBC,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,kBAAkBA,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAI5J,GAAGb,EAAE,CAAC,cAAc22B,EAAE,CAAC,EAAE,SAASC,GAAGpuB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,aAAa,EAAEK,EAAEof,EAAE,EAAE,SAAS,cAAcrf,EAAE,KAAK,EAAE,EAAEqf,EAAEvf,EAAE,SAAS,cAAcE,EAAE,KAAK,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE0B,EAAE6c,EAAE,UAAU91B,GAAG,CAAC,EAAE,MAAM,CAAC,eAAeiZ,EAAE,CAAC,EAAE,cAAcA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIzJ,GAAGd,EAAE,CAAC,aAAa42B,EAAE,CAAC,EAAE,SAASC,GAAGruB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,uBAAuB,OAAO,EAAE,EAAEyf,EAAE,EAAE,SAAS,sBAAsB,EAAE1d,EAAE0d,EAAEvf,EAAE,eAAe,uBAAuB,EAAE,KAAK,EAAE8B,EAAE5B,EAAE,IAAI,CAACuC,EAAEC,IAAI6c,EAAE9c,EAAE,UAAUC,IAAI,uBAAuB,OAAO,CAAC,EAAEX,EAAE,CAAC,MAAM,EAAE,OAAO,EAAE,aAAaF,EAAE,oBAAoBC,CAAC,EAAEU,EAAE,CAAC,kBAAkBrC,CAAC,EAAE,OAAOue,EAAE,UAAU71B,GAAGkZ,EAAES,CAAC,CAAC,CAAC,IAAInK,GAAGf,EAAE,CAAC,sBAAsB62B,EAAE,CAAC,EAAE,SAASC,GAAGtuB,EAAE,EAAEE,EAAE,CAAC0Z,GAAG5Z,CAAC,EAAE,IAAII,EAAEyX,GAAG7X,CAAC,EAAEK,EAAE,KAAK,GAAGH,GAAG,MAAMA,IAAI,UAAUG,EAAE,IAAI,aAAaD,CAAC,UAAUF,IAAI,QAAQG,EAAE,IAAI,WAAWD,CAAC,UAAUF,IAAI,OAAOG,EAAE,IAAI,WAAWD,CAAC,MAAO,OAAM,IAAI,MAAM,qBAAqBF,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,IAAIC,EAAE,CAAC,EAAE,EAAE,EAAE,OAAOue,EAAE,WAAWve,EAAEL,EAAEE,CAAC,CAAC,CAAC,IAAI1H,GAAGhB,EAAE,CAAC,MAAM82B,EAAE,CAAC,EAAMC,GAAGjuB,GAAGgF,GAAG,CAAC,EAAM7H,GAAG,CAAC,EAAEwC,GAAGxC,GAAG,CAAC,qBAAqB,IAAI+wB,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,KAAKX,GAAG,GAAG,SAASI,GAAG5uB,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAEgvB,GAAG,GAAGE,GAAGpvB,EAAE,EAAE,CAACI,EAAEC,IAAIgvB,GAAGjvB,EAAEC,EAAEH,CAAC,CAAC,CAAC,CAAC,SAASgvB,IAAI,CAAC,OAAOtQ,EAAE,QAAQ,eAAe,IAAI,GAAGuQ,GAAGX,EAAE,CAAC,SAASY,GAAGpvB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,GAAG,IAAIib,GAAGrb,CAAC,GAAGqb,GAAG,CAAC,KAAKjb,EAAE,IAAIib,GAAGrb,CAAC,GAAGqb,GAAG,CAAC,IAAIjb,EAAE,IAAIA,EAAE,CAAC,IAAI,EAAEJ,EAAE,YAAY,KAAK+B,EAAE,EAAE,YAAY,KAAK,GAAG,IAAIA,EAAE,MAAM,IAAI,MAAM,yCAAyC,gBAAgBA,GAAG,CAAC,CAAC,GAAG,MAAM,QAAQ/B,CAAC,GAAG,MAAM,QAAQ,CAAC,EAAE,CAAC,IAAI,EAAEsf,GAAGtf,CAAC,EAAE+B,EAAEud,GAAG,CAAC,EAAE,GAAG,CAAC3H,GAAG,EAAE5V,CAAC,EAAE,MAAM,IAAI,MAAM,0CAA0C,kBAAkBA,IAAI,CAAC,CAAC,IAAI1B,EAAEgb,GAAGrb,CAAC,EAAEA,EAAEmb,GAAGnb,CAAC,EAAE,EAAEqb,GAAG,CAAC,EAAE,EAAEF,GAAG,CAAC,EAAE,GAAG9a,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,yCAAyCA,EAAE,uBAAuB,EAAE;AAAA,YACn7YA;AAAA,YACA,IAAI,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI0B,EAAE1B,EAAE,CAAC,EAAE2B,EAAE,EAAE,CAAC,EAAE,GAAG,CAAC9B,EAAE6B,EAAEC,CAAC,EAAE,MAAM,IAAI,MAAM,yBAAyB,QAAQD,eAAe,QAAQC;AAAA,YACvI3B;AAAA,YACA,IAAI,CAAC,CAAC,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS0uB,GAAG/uB,EAAE,EAAE,CAACA,EAAE,EAAE,KAAK,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAAS6uB,GAAG7uB,EAAE,EAAE,CAAC,IAAIE,EAAE,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,OAAO,GAAG,UAAU,CAAC,CAAC,EAAE,EAAE,OAAO6Y,GAAG/Y,CAAC,GAAG+Y,GAAG/Y,EAAE,CAAC,CAAC,GAAG+Y,GAAG,CAAC,GAAGA,GAAG,EAAE,CAAC,CAAC,EAAEqW,GAAGpvB,EAAEE,EAAE,CAACE,EAAEC,IAAID,GAAGC,CAAC,EAAE+uB,GAAGpvB,EAAE,EAAE,CAACI,EAAEC,IAAIgvB,GAAGjvB,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,SAASyuB,GAAG9uB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAEgvB,GAAG,GAAG,CAACG,GAAGrvB,EAAE,EAAEE,CAAC,EAAE,MAAM,IAAI,MAAM,8BAA8BF,mBAAmB,GAAG,EAAE,OAAO,QAAQ,aAAa,OAAO,EAAE,QAAQ,CAAC,CAAC,SAASqvB,GAAGrvB,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,SAASF,CAAC,GAAG,CAAC,SAAS,CAAC,EAAE,GAAG,EAAE,MAAMA,CAAC,GAAG,MAAM,CAAC,GAAG,KAAK,IAAIA,EAAE,CAAC,EAAEE,EAAE,CAAC,SAAS8uB,GAAGhvB,EAAE,EAAEE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,GAAGJ,EAAEI,CAAC,EAAE,GAAGJ,EAAEI,CAAC,EAAEF,EAAE,MAAM,IAAI,MAAM,sBAAsBF,EAAEI,CAAC,UAAU,YAAYF,GAAG,CAAC,CAAC,SAASyuB,GAAG3uB,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,CAAC,EAAEI,EAAE,IAAI,aAAa,CAAC,EAAE,GAAGF,EAAE,SAASE,EAAE,OAAO,MAAM,IAAI,MAAM,wCAAwCA,EAAE,sBAAsBF,EAAE,QAAQ,EAAE,QAAQG,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,GAAGH,EAAEG,CAAC,IAAID,EAAEC,CAAC,EAAE,MAAM,IAAI,MAAM,iCAAiCA,WAAWD,EAAEC,CAAC,aAAaH,EAAEG,CAAC,WAAW,CAAC,CAAC,SAASquB,GAAG1uB,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,EAAE,MAAM,QAAQE,CAAC,EAAEwuB,GAAGxuB,CAAC,EAAEF,EAAE,CAAC,EAAEgb,GAAG9a,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAASyuB,GAAGzuB,EAAE,CAAC,IAAI,EAAE,SAAS,cAAc,OAAO,EAAE,MAAM,gBAAgB,IAAI,EAAE,YAAY,IAAI,EAAE,MAAM,GAAG,EAAE,KAAK,GAAG,EAAE,MAAM,SAAS,QAAQ,EAAE,MAAM,KAAK,MAAM,EAAE,MAAM,IAAI,MAAM,EAAE,QAAQ,OAAO,EAAE,YAAYA,CAAC,EAAE,IAAI,QAAQE,GAAG,CAAC,EAAE,iBAAiB,aAAaE,GAAGF,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,eAAe+uB,GAAGjvB,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,8BAA8BA,GAAG,MAAM,IAAI,QAAQ,GAAG,CAACA,EAAE,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsvB,GAAG,KAAK,CAAC,YAAY1uB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,KAAKjB,EAAE,KAAK,OAAOV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQ,IAAI,KAAK,UAAUG,EAAE,KAAK,YAAY,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,OAAO,GAAG,IAAIyB,EAAED,GAAG,KAAK,OAAO,EAAE,KAAK,OAAO0sB,GAAG,KAAKzsB,EAAE,SAAS,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,CAAC,MAAM,KAAK,OAAO,EAAE,CAAC,IAAIzB,EAAE,KAAK,QAAQ,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,IAAIO,EAAEV,EAAE,EAAE,GAAG,KAAK,CAAC,GAAG,CAAC,IAAIG,EAAEwB,EAAEC,EAAE,GAAGzB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEwB,EAAE,EAAE,KAAK,OAAO,EAAE,EAAEC,EAAEzB,EAAEA,EAAEwB,EAAEA,QAAQC,GAAG,GAAGA,IAAI,GAAG,IAAIC,EAAE,KAAK,KAAK,GAAG,KAAK,IAAID,CAAC,EAAEA,CAAC,EAAElB,EAAE,KAAK,KAAK,KAAK,OAAOP,EAAE0B,EAAE7B,EAAE,KAAK,KAAK,KAAK,OAAO2B,EAAEE,GAAG,CAAC,KAAK,WAAW,KAAK,iBAAiBnB,CAAC,KAAK,EAAE,GAAG,CAAC,OAAO,CAAC,KAAK,WAAW,KAAK,iBAAiBV,CAAC,KAAK,KAAK,QAAQ,KAAK,aAAaA,CAAC,GAAG,KAAK,aAAaU,CAAC,CAAC,CAAC,aAAaA,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,iBAAiBA,EAAE,CAAC,OAAOA,GAAG,KAAK,OAAOA,GAAG,KAAK,KAAK,CAAC,EAAE2uB,GAAG,KAAK,CAAC,YAAY3uB,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,MAAMO,EAAE,KAAK,KAAK,EAAEV,EAAE,KAAK,MAAM,EAAE,IAAI2B,EAAExB,GAAG,KAAK,OAAO,EAAE,KAAK,MAAMkuB,GAAG,KAAK1sB,EAAE,SAAS,CAAC,EAAE,KAAK,MAAM,IAAIytB,GAAG,EAAE,EAAE,EAAE,GAAG,KAAK,MAAM,CAAC,EAAE1uB,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAEA,EAAE,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,OAAO,CAAC,GAAGzB,EAAE,KAAK,MAAM,UAAU,EAAEyB,EAAE,EAAE,KAAK,EAAEzB,QAAQyB,GAAG,GAAG,GAAGA,GAAGA,EAAEA,EAAElB,EAAEP,EAAEA,EAAEH,EAAE,EAAE,KAAKU,EAAEA,EAAE,EAAE,GAAGA,EAAE,KAAK,GAAG,EAAEkB,EAAE,KAAK,IAAIA,CAAC,GAAGD,EAAE,KAAK,MAAM,EAAEA,EAAE3B,GAAG,KAAK,IAAI2B,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAEA,EAAE,KAAK,MAAM,IAAIA,GAAG,KAAK,IAAI,KAAK,MAAM,EAAE,EAAE,KAAK,KAAK,GAAG,KAAK,aAAaA,CAAC,CAAC,CAAC,aAAalB,EAAE,CAAC,OAAO,KAAK,QAAQ,UAAUA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,EAAE4uB,GAAG,KAAK,CAAC,YAAY5uB,EAAE,EAAEV,EAAE,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,eAAe,IAAI,KAAK,OAAO,MAAM,KAAK,QAAQ,UAAU,KAAK,IAAIO,EAAE,KAAK,MAAMV,EAAEU,EAAE,KAAK,MAAM,EAAEP,GAAG,OAAOA,EAAE,KAAK,OAAO,GAAG,OAAOA,GAAG,WAAWA,EAAEA,EAAE,SAAS,GAAG,CAAC,KAAK,eAAe,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,MAAM,0BAA0BO,OAAOV,+BAA+B,EAAE,KAAK,OAAOquB,GAAG,KAAKluB,CAAC,CAAC,CAAC,aAAaO,EAAE,CAAC,OAAO,KAAK,eAAe,EAAEA,EAAE,KAAK,MAAMA,CAAC,CAAC,CAAC,WAAW,CAAC,OAAO,KAAK,aAAa,KAAK,IAAI,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,CAAC,EAAE,SAAS6uB,GAAGzvB,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAUC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEE,GAAG,OAAOA,EAAE,GAAGE,GAAG,OAAOA,EAAE,WAAWA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAImvB,GAAG,EAAErvB,EAAEE,EAAEC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,CAAC,EAAE,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAItJ,GAAGjB,EAAE,CAAC,aAAai4B,EAAE,CAAC,EAAE,SAASC,GAAG1vB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEI,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyBA,GAAG,EAAE,IAAI,EAAE,IAAIkvB,GAAG,EAAEpvB,EAAEE,EAAE,GAAGC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,CAAC,EAAE,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAIrJ,GAAGlB,EAAE,CAAC,cAAck4B,EAAE,CAAC,EAAE,SAASC,GAAG3vB,EAAE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAM,IAAI,OAAO,MAAM,IAAI,MAAM,yBAAyB,GAAG,EAAE,OAAOxH,GAAGsH,EAAE,EAAE,EAAE,EAAEE,CAAC,CAAC,CAAC,IAAIvH,GAAGnB,EAAE,CAAC,sBAAsBm4B,EAAE,CAAC,EAAE,SAASC,GAAG5vB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAUC,EAAE,CAACuZ,GAAG5Z,CAAC,EAAE,IAAI,EAAEnR,GAAGmR,EAAEI,CAAC,EAAE,EAAE,IAAIovB,GAAG,EAAEtvB,EAAE,KAAKG,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,CAAC,EAAE,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAInJ,GAAGpB,EAAE,CAAC,eAAeo4B,EAAE,CAAC,EAAE,SAAS/2B,GAAGmH,EAAE,EAAEE,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGF,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,EAAE,IAAIG,EAAE,CAAC,MAAML,EAAE,KAAK,EAAE,KAAKE,EAAE,MAAME,CAAC,EAAE,OAAOwe,EAAE,UAAU51B,GAAG,CAAC,EAAEqX,CAAC,CAAC,CAAC,SAASwvB,GAAG7vB,EAAE,CAAC,IAAIE,EAAE,CAAC,MAAMuf,EAAEzf,EAAE,QAAQ,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAU11B,GAAGgX,CAAC,CAAC,CAAC,IAAInH,GAAGvB,EAAE,CAAC,MAAMq4B,EAAE,CAAC,EAAE,SAASC,GAAG9vB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,YAAY,CAAC,EAAE,OAAO4e,EAAE,UAAUx1B,GAAG8W,CAAC,CAAC,CAAC,IAAIlH,GAAGxB,EAAE,CAAC,YAAYs4B,EAAE,CAAC,EAAE,SAASC,GAAG/vB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUt1B,GAAG4W,CAAC,CAAC,CAAC,IAAI3G,GAAG/B,EAAE,CAAC,MAAMu4B,EAAE,CAAC,EAAE,SAASC,GAAGhwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAUr1B,GAAG2W,CAAC,CAAC,CAAC,IAAI1G,GAAGhC,EAAE,CAAC,OAAOw4B,EAAE,CAAC,EAAE,SAASC,GAAGjwB,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,CAAC,EAAEK,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAU/0B,GAAG,EAAEwW,CAAC,CAAC,CAAC,IAAI1G,GAAGnC,EAAE,CAAC,SAASy4B,EAAE,CAAC,EAAE,SAASC,GAAGlwB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAE,EAAE,OAAO,EAAE,IAAI,qDAAqD,EAAE,OAAO,EAAE9d,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIC,GAAGpC,EAAE,CAAC,WAAW04B,EAAE,CAAC,EAAE,SAASC,GAAGnwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAIrG,GAAGrC,EAAE,CAAC,WAAW24B,EAAE,CAAC,EAAE,SAASC,GAAGpwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAIpG,GAAGtC,EAAE,CAAC,WAAW44B,EAAE,CAAC,EAAE,SAASC,GAAGrwB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,OAAO,EAAEvG,GAAGuG,EAAE,CAAC,CAAC,CAAC,IAAInG,GAAGvC,EAAE,CAAC,WAAW64B,EAAE,CAAC,EAAE,SAASC,GAAGtwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE,OAAO4e,EAAE,UAAU70B,GAAGmW,CAAC,CAAC,CAAC,IAAIjG,GAAGzC,EAAE,CAAC,OAAO84B,EAAE,CAAC,EAAE,SAASC,GAAGvwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,QAAQ,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU50B,GAAGkW,CAAC,CAAC,CAAC,IAAIhG,GAAG1C,EAAE,CAAC,OAAO+4B,EAAE,CAAC,EAAE,SAASC,GAAGxwB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUv0B,GAAG6V,CAAC,CAAC,CAAC,IAAI3F,GAAG/C,EAAE,CAAC,MAAMg5B,EAAE,CAAC,EAAE,SAASC,GAAGzwB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,IAAI,iBAAiB,EAAEgC,EAAEyd,EAAE,EAAE,kBAAkB,iBAAiB,EAAExd,EAAEwd,EAAEvf,EAAE,kBAAkB,iBAAiB,EAAEwC,EAAEX,EAAEY,EAAE,GAAG,GAAGZ,EAAE,OAAO,IAAIY,EAAE,GAAGD,EAAEhJ,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,OAAO,MAAM,IAAI,MAAM,oFAAoF,EAAE0V,EAAE/U,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE+U,EAAEzV,EAAE,OAAO,EAAE,IAAI,2EAA2EA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,2EAA2ED,EAAE,OAAO,EAAEyV,EAAExV,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,yFAAyFA,EAAE,MAAM,CAAC,IAAI,EAAEwV,EAAExV,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,yFAAyFA,EAAE,MAAM,CAAC,IAAI,EAAE,IAAIW,EAAEZ,EAAE,MAAM,CAAC,EAAEa,EAAEb,EAAE,MAAM,CAAC,EAAEyV,EAAExV,EAAE,MAAM,CAAC,IAAIW,EAAEC,EAAE,IAAI,6EAA6ED,EAAEC,cAAcZ,EAAE,MAAM,CAAC,IAAI,EAAE,IAAIa,EAAEpS,GAAGgS,EAAEV,EAAE5B,EAAEC,EAAE,EAAE,CAAC,EAAE4D,EAAEtU,GAAGmT,EAAEb,EAAE,EAAE,QAAQ,CAAC,EAAE,OAAOU,EAAEjJ,EAAEuK,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIzJ,GAAGhD,EAAE,CAAC,iBAAiBi5B,EAAE,CAAC,EAAE,eAAeC,GAAG1wB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,WAAW,EAAEI,EAAEqf,EAAE,EAAE,IAAI,WAAW,EAAEhI,EAAEvX,EAAE,QAAQE,EAAE,MAAM,IAAI,kDAAkDF,EAAE,iBAAiBE,EAAE,SAAS,EAAEqX,EAAEvX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAEuX,EAAErX,EAAE,OAAO,EAAE,IAAI,qCAAqCA,EAAE,SAAS,EAAE,IAAIC,EAAE,MAAMH,EAAE,KAAK,EAAE,EAAE,MAAME,EAAE,KAAK,EAAE,EAAE,IAAI,IAAI,CAAC,EAAE2B,EAAE,EAAE,QAAQW,EAAE,EAAEA,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,CAAC,CAAC,GAAGX,IAAI,IAAIC,EAAE,IAAI7V,GAAG,CAAC4V,CAAC,EAAE7B,EAAE,KAAK,EAAE+B,EAAE,IAAI9V,GAAG,CAAC4V,CAAC,EAAE,OAAO,EAAE,QAAQW,EAAE,EAAEC,EAAE,EAAED,EAAErC,EAAE,OAAOqC,IAAI,EAAE,IAAIrC,EAAEqC,CAAC,CAAC,IAAIV,EAAE,OAAOW,CAAC,EAAEtC,EAAEqC,CAAC,EAAET,EAAE,OAAOU,CAAC,EAAED,EAAEC,KAAK,MAAM,CAACX,EAAE,SAAS,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,IAAIhH,GAAGy1B,GAAG,SAASC,GAAG3wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUp0B,GAAG0V,CAAC,CAAC,CAAC,IAAI/E,GAAG3D,EAAE,CAAC,MAAMm5B,EAAE,CAAC,EAAE,SAASC,GAAG5wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAUn0B,GAAGyV,CAAC,CAAC,CAAC,IAAI7E,GAAG7D,EAAE,CAAC,KAAKo5B,EAAE,CAAC,EAAE,SAASC,GAAG7wB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAE,OAAO4e,EAAE,UAAUl0B,GAAGwV,CAAC,CAAC,CAAC,IAAI5E,GAAG9D,EAAE,CAAC,MAAMq5B,EAAE,CAAC,EAAE,SAASC,GAAG9wB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,CAAC,CAAC,EAAE,CAACF,CAAC,CAAC,CAAC,CAAC,IAAI1E,GAAGhE,EAAE,CAAC,SAASs5B,EAAE,CAAC,EAAE,SAASC,GAAG/wB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIzE,GAAGjE,EAAE,CAAC,SAASu5B,EAAE,CAAC,EAAE,SAASC,GAAGhxB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIxE,GAAGlE,EAAE,CAAC,SAASw5B,EAAE,CAAC,EAAE,SAASC,GAAGjxB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,SAAS,EAAE,OAAOyX,EAAErX,EAAE,OAAO,EAAE,IAAI,mDAAmDA,EAAE,aAAa,EAAE7E,GAAG6E,EAAE,EAAEF,CAAC,CAAC,CAAC,IAAIvE,GAAGnE,EAAE,CAAC,SAASy5B,EAAE,CAAC,EAAE,SAASC,GAAGlxB,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,UAAU,SAAS,EAAE,GAAG,IAAI,KAAK,EAAEE,EAAE,KAAK,GAAG,IAAIA,EAAE,KAAK,EAAE,MAAM,MAAM,4EAA4EA,EAAE,oBAAoB,GAAG,EAAE,IAAIE,EAAE,CAAC,OAAOF,CAAC,EAAEG,EAAE,CAAC,IAAI,CAAC,EAAE,OAAOue,EAAE,UAAUh0B,GAAGwV,EAAEC,CAAC,CAAC,CAAC,IAAIxE,GAAGrE,EAAE,CAAC,SAAS05B,EAAE,CAAC,EAAE,SAASC,GAAGnxB,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,YAAY,IAAI,6DAA6DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO4e,EAAE,UAAUz6B,GAAG,CAAC,CAAC,CAAC,IAAIiO,GAAGoF,EAAE,CAAC,KAAK25B,EAAE,CAAC,EAAE,SAASC,GAAGpxB,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,YAAY,IAAI,8DAA8DA,EAAE,QAAQ,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO4e,EAAE,UAAUz5B,GAAG,CAAC,CAAC,CAAC,IAAIsO,GAAG+D,EAAE,CAAC,MAAM45B,EAAE,CAAC,EAAE,SAASC,GAAGrxB,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAEE,EAAEF,EAAE,KAAK,EAAEI,EAAE,GAAG,GAAG,EAAE,CAAC,IAAIC,EAAE3G,EAAEsG,EAAE,CAACE,EAAE,CAAC,CAAC,EAAEE,EAAE3M,GAAG4M,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAACH,EAAE,GAAG,EAAE,EAAE,EAAE,EAAExG,EAAEX,GAAGiH,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE,EAAExG,EAAEhG,GAAGsM,CAAC,EAAE,CAACE,EAAE,CAAC,CAAC,EAAE6B,EAAEpI,GAAG4B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC2E,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE8B,EAAElL,EAAE6C,GAAG4B,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC2E,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE/F,GAAG,EAAE,CAAC,EAAE8H,EAAE7S,GAAG,CAAC,EAAE2S,CAAC,EAAE,CAAC,EAAEW,EAAEtT,GAAG,CAAC,EAAE4S,CAAC,EAAE,CAAC,EAAEW,EAAEjJ,EAAEvK,GAAG8S,EAAES,CAAC,EAAE,CAACrC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,EAAED,EAAE3M,GAAGkP,CAAC,CAAC,CAAC,GAAGvC,EAAErH,GAAGqH,CAAC,EAAEJ,EAAE,OAAO,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,IAAIK,EAAED,EAAE,EAAEJ,EAAE,MAAM,CAAC,EAAEI,EAAE1G,EAAE0G,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEC,EAAE,QAAQ,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIpM,GAAGwD,EAAE,CAAC,OAAO65B,EAAE,CAAC,EAAE,SAASC,GAAGtxB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAEof,EAAEzf,EAAE,IAAI,OAAO,CAAC,EAAE6B,EAAE,CAAC,gBAAgB,EAAE,KAAK3B,CAAC,EAAE,OAAO0e,EAAE,UAAUxzB,GAAGiV,EAAEwB,CAAC,CAAC,CAAC,IAAI1F,GAAG3E,EAAE,CAAC,OAAO85B,EAAE,CAAC,EAAE,SAASC,GAAGvxB,EAAE,EAAE,CAACyX,EAAEzX,EAAE,QAAQ,UAAU,IAAI,mDAAmDA,EAAE,OAAO,EAAE,IAAIE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAEI,EAAEJ,EAAE,KAAKE,EAAEG,EAAE,GAAG,GAAG,MAAM,EAAEH,EAAE,CAAC,IAAI4C,EAAE9C,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEgE,EAAEhE,EAAE,MAAM,IAAI,GAAG,CAAC,EAAEgE,EAAEhE,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEK,EAAE9E,GAAGyE,EAAE8C,EAAEkB,CAAC,EAAE9D,EAAE,CAAC,SAAS,GAAG,MAAM,EAAEA,EAAE,CAAC,IAAI4C,EAAE9C,EAAE,MAAM,IAAIgE,GAAGA,CAAC,EAAElB,EAAE9C,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEE,EAAEG,EAAEjR,GAAG,CAAC4Q,EAAET,GAAGuD,CAAC,CAAC,EAAE9C,EAAE,MAAM,OAAO,CAAC,EAAEE,EAAE,CAAC,MAAMG,EAAEL,EAAE,IAAI,EAAER,GAAGa,CAAC,EAAE,EAAE3G,EAAEvK,GAAGkR,EAAE,CAAC,EAAE,CAACD,EAAEF,CAAC,CAAC,EAAE6B,EAAE3P,GAAG,CAAC,EAAE4P,EAAE,KAAK,MAAM9B,EAAE,CAAC,EAAE,EAAE+B,EAAElJ,GAAGgJ,CAAC,EAAEW,EAAEhP,GAAGqO,CAAC,EAAEY,EAAExG,GAAG8F,EAAE,CAACD,EAAE9B,EAAE8B,CAAC,EAAEC,EAAE,MAAM,OAAO,CAAC,EAAEW,EAAEzG,GAAGuG,EAAE,CAACV,EAAE9B,EAAE8B,CAAC,EAAEU,EAAE,MAAM,OAAO,CAAC,EAAEG,EAAExC,EAAE,MAAM,MAAM,EAAE,OAAOwC,EAAExC,EAAE,MAAM,OAAO,CAAC,EAAE2B,EAAEtI,EAAEvK,GAAGwT,EAAE,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAEC,CAAC,CAAC,CAAC,IAAI7I,GAAGxC,EAAE,CAAC,MAAM+5B,EAAE,CAAC,EAAE,SAASC,GAAGxxB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,mBAAmB,EAAEI,EAAEqf,EAAE,EAAE,IAAI,mBAAmB,EAAE,CAACvf,EAAEE,CAAC,EAAE6d,GAAG/d,EAAEE,CAAC,EAAEyoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAEH,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOwe,EAAE,UAAUrzB,GAAG8U,EAAE,CAAC,CAAC,CAAC,IAAI/D,GAAG9E,EAAE,CAAC,mBAAmBg6B,EAAE,CAAC,EAAE,SAASC,GAAGzxB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAE,OAAOtG,EAAEwG,EAAEqY,GAAGrY,EAAE,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI3D,GAAG/E,EAAE,CAAC,SAASi6B,EAAE,CAAC,EAAE,SAASC,GAAG1xB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEwf,GAAG1f,EAAE,UAAU,QAAQ,mBAAmB,EAAEyX,EAAEvX,EAAE,QAAQ,EAAE,IAAI,sCAAsC,EAAEA,EAAE,OAAO,GAAGuX,EAAE,GAAGvX,EAAE,CAAC,EAAE,KAAK,IAAI,oCAAoC,EAAE,IAAIE,EAAEF,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUv2B,GAAG+X,EAAEC,CAAC,CAAC,CAAC,IAAI7D,GAAGhF,EAAE,CAAC,OAAOk6B,EAAE,CAAC,EAAE,SAASC,GAAG3xB,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEyf,EAAEzf,EAAE,IAAI,MAAM,CAAC,EAAEK,EAAE,CAAC,MAAM,CAAC,EAAE,OAAOue,EAAE,UAAUpzB,GAAG,EAAE6U,CAAC,CAAC,CAAC,IAAI5D,GAAGjF,EAAE,CAAC,MAAMm6B,EAAE,CAAC,EAAE,SAASC,GAAG5xB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE+c,EAAEzf,EAAE,IAAI,eAAe,mBAAmB,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAIE,EAAE,QAAQE,EAAE,UAAUC,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,OAAO4c,EAAE,UAAUnzB,GAAGiX,EAAE,CAAC,CAAC,CAAC,IAAIhG,GAAGlF,EAAE,CAAC,cAAco6B,EAAE,CAAC,EAAE,SAASC,GAAG7xB,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEuf,EAAEzf,EAAE,IAAI,MAAM,SAAS,CAAC,EAAE,OAAO4e,EAAE,UAAU5yB,GAAGkU,CAAC,CAAC,CAAC,IAAInD,GAAGvF,EAAE,CAAC,KAAKq6B,EAAE,CAAC,EAAE,SAAS30B,GAAG8C,EAAE,EAAE,CAAC4X,GAAG5X,CAAC,EAAE,IAAIE,EAAEof,GAAGtf,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,OAAO0f,GAAG5f,EAAE,KAAKE,EAAE,CAAC,CAAC,CAAC,SAAS/C,GAAG6C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,8EAA8E,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS9C,GAAG4C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,iDAAiD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kEAAkE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS7C,GAAG2C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS5C,GAAG0C,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAOwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS3C,GAAGyC,EAAE,EAAEE,EAAE,CAAC,GAAG0X,GAAG5X,CAAC,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAII,EAAEkf,GAAGtf,EAAEE,CAAC,EAAE,GAAGE,EAAE,SAAS,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,wEAAwE,EAAE,GAAGA,EAAE,SAAS,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,yEAAyE,EAAE,OAAO,EAAE,GAAGA,EAAEwf,GAAG5f,EAAE,EAAEI,EAAEF,CAAC,CAAC,CAAC,SAAS4xB,GAAG9xB,EAAE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,MAAM,EAAE,GAAGI,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoD,EAAE,IAAIC,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6C,GAAG,EAAE,GAAG,EAAEC,EAAE,MAAM,IAAI,MAAM,uDAAuDA,cAAc,GAAG,EAAE,IAAI,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAOF,CAAC,EAAE,CAAC6B,EAAEC,CAAC,EAAE4c,EAAE,UAAUvyB,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,OAAO0V,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAInE,GAAGrG,EAAE,CAAC,MAAMs6B,EAAE,CAAC,EAAE,SAASC,GAAG/xB,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,GAAGuZ,GAAG5Z,CAAC,EAAEI,GAAG,MAAMA,IAAI,OAAO,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE,IAAIkvB,GAAG,EAAEpvB,EAAEE,EAAE,GAAGC,CAAC,EAAE,EAAExR,GAAGmR,EAAEI,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,OAAO,OAAOA,IAAI,EAAE,OAAOA,CAAC,EAAE,EAAE,UAAU,EAAE,OAAO,EAAE,SAAS,CAAC,CAAC,IAAI/D,GAAGxG,EAAE,CAAC,iBAAiBu6B,EAAE,CAAC,EAAE,SAASC,GAAGhyB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,SAAS,mBAAmB,EAAEyX,EAAEvX,EAAE,KAAK,EAAE,IAAI,sCAAsC,EAAE,IAAIE,EAAE,CAAC,EAAEF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEue,EAAE,UAAUpyB,GAAG4T,EAAEC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIpC,GAAGzG,EAAE,CAAC,QAAQw6B,EAAE,CAAC,EAAE,SAASC,GAAGjyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,oBAAoB,EAAEK,EAAEof,EAAE,EAAE,aAAa,qBAAqB,OAAO,EAAEhI,EAAEM,GAAG7X,CAAC,EAAE,IAAI,kCAAkC,EAAE,IAAI,EAAE,CAAC,EAAEE,EAAE,WAAWC,CAAC,EAAE,EAAE,CAAC,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUlyB,GAAG,EAAE,CAAC,CAAC,CAAC,IAAI0R,GAAG5G,EAAE,CAAC,oBAAoBy6B,EAAE,CAAC,EAAE,SAASC,GAAGlyB,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,IAAI,UAAU,mBAAmB,EAAEyX,EAAE,GAAG,CAACvX,EAAE,MAAM,QAAQ,EAAEA,EAAE,MAAM,OAAO,IAAI,UAAU,iBAAiBA,EAAE,MAAM,WAAWA,EAAE,MAAM,SAAS,EAAE,IAAIE,EAAE,CAAC,MAAMF,CAAC,EAAEG,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUnyB,GAAG2T,EAAEC,CAAC,CAAC,CAAC,IAAIhC,GAAG7G,EAAE,CAAC,SAAS06B,EAAE,CAAC,EAAE,SAAS3zB,GAAGyB,EAAE,EAAE,CAAC,OAAO1F,GAAG0F,EAAE,EAAE,OAAO,CAAC,CAAC,SAASrB,GAAGqB,EAAE,EAAE,GAAGE,EAAEE,EAAE,CAAC,OAAOwe,EAAE,aAAa5e,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAAS+xB,GAAGnyB,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,CAAC,GAAGA,EAAE,KAAK,CAAC,EAAE,IAAIE,EAAEvR,GAAGmR,EAAE,OAAO,EAAEK,EAAExR,GAAG,CAACqR,EAAE,OAAOF,EAAE,MAAM,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEE,EAAE,OAAO,IAAI,CAAC,IAAI,EAAEE,EAAE,WAAWF,EAAE,CAAC,CAAC,EAAE6B,EAAE,EAAE/B,EAAE,OAAOK,EAAE,OAAO,IAAI,EAAE0B,CAAC,CAAC,CAAC,OAAO1B,EAAE,SAAS,CAAC,CAAC,eAAe+xB,GAAGpyB,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,YAAY,aAAa,MAAM,EAAEE,EAAE,MAAM,EAAE,KAAK,EAAEE,EAAE+xB,GAAG,EAAE,MAAMjyB,CAAC,EAAE,OAAOF,IAAI,GAAG,EAAE,QAAQ,EAAEI,CAAC,CAAC,IAAId,GAAG8yB,GAAG,eAAeC,GAAGryB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,UAAU,EAAEK,EAAEof,EAAE,EAAE,OAAO,WAAW,MAAM,EAAE,EAAEvf,GAAG,KAAK,EAAEA,EAAE,EAAEG,EAAE,KAAK0B,EAAE3B,EAAE,MAAMqX,EAAE,EAAE,EAAE,IAAI,uBAAuB,EAAEC,GAAG3V,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE1B,EAAE,MAAM,mEAAmE,EAAE,IAAI2B,EAAE,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAIhC,GAAGD,EAAEiC,CAAC,EAAE,IAAI/B,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,CAACC,CAAC,EAAED,EAAE,MAAM,EAAE,CAAC,CAAC,EAAEW,EAAEhJ,EAAE0G,EAAE6B,CAAC,EAAEU,EAAEjJ,EAAE2G,EAAE,CAAC,EAAE,CAAC,EAAEuC,EAAE,MAAMtD,GAAGqD,CAAC,EAAEE,EAAEtG,GAAGqG,EAAE,CAAC,CAAC,CAAC,EAAEE,EAAElQ,GAAG8P,EAAEG,EAAE,CAAC,EAAE,OAAO7C,IAAII,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEwC,EAAE,QAAQ,EAAEH,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEC,EAAE,QAAQ,EAAEE,CAAC,CAAC,IAAItU,GAAG6jC,GAAG,SAASC,GAAGtyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,WAAW,EAAE,GAAG,GAAG,OAAO,EAAEI,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,QAAQ,GAAG0V,EAAErX,EAAE,OAAO,EAAE,OAAO,IAAI,qCAAqCA,EAAE,kCAAkC,IAAI,EAAE,EAAE,QAAQ,GAAG,CAACqX,EAAE,GAAG,GAAG,EAAErX,EAAE,KAAK,IAAI,+CAA+CA,EAAE,KAAK,aAAa,GAAG,CAAC,CAAC,EAAEA,EAAE,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAE,IAAIC,EAAE,CAAC,EAAED,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAE,OAAOA,EAAE,QAAQ,YAAY1C,EAAE,IAAI,CAAC,IAAI,EAAE3E,GAAGqH,CAAC,EAAE2B,EAAErO,GAAG0M,CAAC,EAAE,OAAO,EAAEwe,EAAE,UAAUryB,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEwV,EAAE6c,EAAE,UAAUryB,GAAG,CAAC,EAAEwV,CAAC,EAAE,CAAC,EAAE7B,IAAI6B,EAAE9K,GAAG8K,CAAC,GAAG5S,GAAG,EAAE4S,CAAC,CAAC,CAAC,EAAE6c,EAAE,UAAUryB,GAAG8T,EAAE,CAAC,CAAC,CAAC,IAAItC,GAAGvG,EAAE,CAAC,WAAW86B,EAAE,CAAC,EAAE,SAASC,GAAGvyB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,IAAI,eAAe,EAAE,EAAEyf,EAAE,EAAE,IAAI,eAAe,EAAE1d,EAAE0d,EAAEvf,EAAE,QAAQ,eAAe,EAAE4d,GAAG,EAAE,CAAC,EAAErG,EAAEE,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,IAAI,2BAA2B,EAAE,IAAI3V,EAAE7H,GAAG,CAAC,EAAE8H,EAAErF,GAAGoF,EAAED,CAAC,EAAEW,EAAE5L,EAAE8F,GAAG,EAAE,CAAC,EAAEqF,CAAC,EAAE,GAAG5B,EAAE,CAACoX,EAAErX,GAAG,KAAK,IAAI,gDAAgD,EAAE,IAAIuC,EAAE8c,EAAErf,EAAE,OAAO,eAAe,EAAEsC,EAAExR,GAAGwR,EAAE9F,GAAGoF,EAAEhK,GAAG+J,EAAEY,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzV,EAAE,EAAEwV,CAAC,CAAC,CAAC,IAAI7L,GAAGW,EAAE,CAAC,eAAe+6B,EAAE,CAAC,EAAMl4B,GAAG,CAAC,EAAE4F,GAAG5F,GAAG,CAAC,gBAAgB,IAAIm4B,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAG1yB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,KAAK,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,EAAEC,EAAE,EAAE,KAAK,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,6FAA6FH,EAAE,yBAAyB,EAAE,iBAAiBF,gBAAgBI,oBAAoBC,KAAK,GAAGH,EAAE,KAAKG,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkBA,KAAK,EAAE,GAAGL,EAAE,OAAOI,GAAGF,EAAE,KAAKG,GAAG,MAAM,IAAI,MAAM,EAAE,0BAA0BD,GAAGF,EAAE,KAAKG,IAAI,EAAE,GAAGH,EAAE,OAAOG,EAAEL,EAAE,OAAOI,EAAE,MAAM,IAAI,MAAM,EAAE,mBAAmBC,EAAEL,EAAE,OAAOI,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGH,EAAE,MAAM,CAAC,IAAI,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkB,OAAOA,EAAE,MAAM,CAAC,uBAAuB,OAAO,EAAE,MAAM,CAAC,KAAK,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,KAAKG,EAAE,EAAE,EAAE,GAAGH,EAAE,MAAM,EAAEG,CAAC,IAAIL,EAAE,EAAEI,CAAC,EAAE,MAAM,IAAI,MAAM,EAAE,kBAAkB,EAAEC,OAAOH,EAAE,MAAM,EAAEG,CAAC,eAAe,EAAEA,OAAOL,EAAE,EAAEK,CAAC,IAAI,CAAC,CAAC,SAASoyB,GAAGzyB,EAAE,EAAEE,EAAE,CAAC,GAAG,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO,EAAE,GAAGF,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,+EAA+EA,EAAE,OAAO,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,6DAA6DA,GAAG,EAAE,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,sDAAsDA,EAAE,OAAO,CAAC,CAAC0yB,GAAGxyB,EAAE,EAAEF,CAAC,CAAC,CAAC,SAASwyB,GAAGxyB,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,MAAM,OAAOC,EAAED,EAAE,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,QAAQyC,EAAEtC,EAAEsC,EAAE,EAAE,EAAEA,EAAE,GAAGzC,EAAEyC,CAAC,EAAE,IAAIZ,EAAE1B,EAAE,EAAE,EAAEA,EAAE2B,EAAE6V,GAAG,EAAE,KAAK,EAAE9V,EAAEE,EAAE,CAAC,GAAGoX,GAAGnZ,EAAE,MAAM,EAAEG,CAAC,CAAC,EAAE,CAAC,EAAEqC,EAAEmV,GAAG3X,CAAC,EAAE,MAAM,CAAC,UAAUG,EAAE,WAAW2B,EAAE,UAAU,EAAE,QAAQC,EAAE,WAAWS,CAAC,CAAC,CAAC,SAASiwB,GAAG3yB,EAAE,EAAEE,EAAE,CAAC0Z,GAAG1Z,CAAC,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,UAAU,YAAY,OAAO,EAAEK,EAAEof,EAAE,EAAE,UAAU,WAAW,EAAEgT,GAAGpyB,EAAED,EAAEF,CAAC,EAAE,IAAI,EAAE,CAAC,QAAQE,EAAE,QAAQC,CAAC,EAAE,EAAE,CAAC,MAAMH,CAAC,EAAE,OAAO0e,EAAE,UAAU10B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAIkQ,GAAG5C,EAAE,CAAC,WAAWm7B,EAAE,CAAC,EAAE,SAASC,GAAG5yB,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,8EAA8EA,EAAE,QAAQ,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,QAAQ,EAAE,IAAIK,EAAEL,EAAE,KAAK,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAE,EAAEA,EAAE,KAAK,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAE,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kDAAkDA,EAAE,sBAAsB,IAAI,EAAE,IAAI,EAAE,EAAE,KAAK,GAAG,EAAE,EAAE,OAAO,GAAG,EAAE,OAAO,GAAG,IAAIG,GAAG,MAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2BA,IAAI,EAAE,GAAG,EAAE,QAAQD,EAAE,MAAM,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,SAASyyB,GAAG7yB,EAAE,EAAEE,EAAEE,EAAE,EAAE,CAACwZ,GAAG1Z,CAAC,EAAE,IAAIG,EAAEof,EAAEzf,EAAE,gBAAgB,gBAAgB,OAAO,EAAE,EAAEyf,EAAE,EAAE,eAAe,gBAAgB,mBAAmB,EAAE,EAAEA,EAAErf,EAAE,eAAe,gBAAgB,EAAE,KAAK,EAAEwyB,GAAGvyB,EAAE,EAAEH,EAAE,CAAC,EAAE,IAAI6B,EAAE,CAAC,cAAc1B,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE2B,EAAE,CAAC,YAAY9B,CAAC,EAAE,OAAO0e,EAAE,UAAUzzB,GAAG4W,EAAEC,CAAC,CAAC,CAAC,IAAI/F,GAAGzE,EAAE,CAAC,eAAeq7B,EAAE,CAAC,EAAE,SAASC,GAAG9yB,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAE,EAAE,UAAU,WAAW,OAAO,EAAEpf,EAAE,CAAC,OAAOof,EAAEzf,EAAE,IAAI,WAAW,mBAAmB,EAAE,QAAQE,CAAC,EAAE,OAAO0e,EAAE,UAAU/5B,GAAGwb,CAAC,CAAC,CAAC,IAAIxN,GAAG2E,EAAE,CAAC,UAAUs7B,EAAE,CAAC,EAAE,SAASC,GAAG/yB,EAAE,EAAE,CAAC,GAAG,GAAG,KAAK,OAAOA,EAAE,MAAM,MAAM,EAAE,GAAG2X,GAAG3X,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,MAAM,OAAOI,IAAI,EAAEA,CAAC,GAAG,MAAMJ,EAAE,MAAMI,CAAC,GAAG,KAAKF,EAAE,KAAKF,EAAE,MAAMI,CAAC,CAAC,EAAEF,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS8yB,GAAGhzB,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,IAAI,SAAS,EAAE,GAAGyX,EAAEpX,EAAE,QAAQ,UAAU,IAAI,gFAAgFA,EAAE,uBAAuB,EAAEoX,EAAE,GAAG,GAAG,EAAE,EAAE,IAAI,qDAAqD,IAAI,EAAE,IAAI,EAAE,OAAOzX,aAAa9T,GAAGmU,EAAE,MAAM,EAAEA,EAAE,IAAI,EAAE0yB,GAAG1yB,EAAEH,CAAC,EAAE,EAAE,EAAE,EAAE6B,EAAE7Q,GAAGsB,GAAGtF,EAAE0L,GAAG,EAAE,EAAE,EAAE,UAAUwH,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,OAAOtJ,EAAEuJ,EAAE0B,CAAC,CAAC,CAAC,IAAI1Q,GAAGmG,EAAE,CAAC,SAASw7B,EAAE,CAAC,EAAE,SAASthC,GAAGsO,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,IAAI,EAAE,KAAK,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS9P,GAAG8P,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEJ,EAAE,EAAEK,EAAE,IAAI,aAAaL,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,GAAG,GAAGA,EAAEI,EAAE,GAAGC,EAAE,CAAC,EAAE,EAAEH,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,OAAOhD,GAAGmD,EAAE,SAAS,CAAC,CAAC,eAAe4yB,GAAGjzB,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,cAAc,QAAQ,EAAEK,EAAEof,EAAE,EAAE,UAAU,QAAQ,EAAEhI,EAAErX,EAAE,KAAK,EAAE,IAAI,uEAAuEA,EAAE,MAAM,EAAEqX,EAAErX,EAAE,KAAK,IAAIC,EAAE,KAAK,IAAI,mFAAmFD,EAAE,yBAAyBC,EAAE,MAAM,EAAEqX,GAAGtX,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAEC,EAAE,MAAM,yFAAyF,EAAE,IAAI,EAAED,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAEqX,EAAEvX,EAAE,GAAGA,GAAG,EAAE,IAAI,4EAA4E,eAAeA,GAAG,EAAE,IAAI,EAAE,MAAME,EAAE,KAAK,EAAE2B,EAAE,MAAM1B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,CAAC,EAAE,CAAC,EAAE,OAAO,EAAE,CAAC,EAAES,EAAE8V,GAAG,OAAOxW,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAEW,IAAI,CAAC,IAAIC,EAAED,EAAEV,EAAEY,EAAE,EAAE,SAASD,EAAEA,EAAEX,CAAC,EAAEa,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAIlB,EAAE,KAAK,CAAC,MAAMD,EAAEmB,CAAC,EAAE,MAAMA,CAAC,CAAC,EAAElB,EAAE,KAAK,CAACkB,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAEtB,EAAEC,CAAC,EAAE,EAAE,QAAQqB,EAAE,EAAEA,EAAE9D,EAAE8D,IAAI,GAAGlB,EAAEkB,CAAC,EAAE,QAAQjC,EAAEY,CAAC,EAAE,CAACD,EAAEC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,OAAO3C,IAAII,GAAGA,EAAE,QAAQ,EAAE,IAAIC,GAAGA,EAAE,QAAQ,EAAEpD,GAAGyF,EAAErC,EAAE,MAAM,MAAM,CAAC,CAAC,IAAIzM,GAAGq/B,GAAOtgC,GAAG,CAAC,EAAEsN,GAAGtN,GAAG,CAAC,OAAO,IAAIugC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAGrzB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE/B,EAAEA,EAAE,OAAO,IAAI+B,EAAErI,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAIgC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE1V,EAAE,OAAO,EAAE,IAAI,iEAAiEA,EAAE,QAAQ,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,QAAQ,EAAEyV,EAAEvX,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAE,IAAI+B,EAAE,IAAI,OAAOF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEW,EAAE,IAAI,OAAOV,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEyV,EAAExV,IAAI/B,EAAE,CAAC,EAAE,IAAI,4CAA4C+B,wCAAwC/B,EAAE,CAAC,IAAI,EAAEuX,EAAE/U,IAAIxC,EAAE,CAAC,EAAE,IAAI,0CAA0CwC,0CAA0CxC,EAAE,CAAC,KAAK,EAAEgmB,GAAG,kBAAkB7lB,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,EAAEZ,EAAE,GAAGC,CAAC,EAAEY,EAAE,CAAC,QAAQxC,EAAE,IAAIC,EAAE,WAAW,EAAE,gBAAgB,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUz8B,GAAGwgB,EAAEC,CAAC,CAAC,CAAC,IAAI0wB,GAAG97B,EAAE,CAAC,sBAAsB67B,EAAE,CAAC,EAAE,SAASE,GAAGvzB,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMA,IAAI,SAAS,OAAOF,EAAE,GAAGE,IAAI,OAAO,OAAOpJ,EAAEkJ,EAAEvD,GAAG,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gDAAgDyD,IAAI,CAAC,CAAC,SAASszB,GAAGxzB,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAE2oB,GAAG/oB,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOI,EAAE,OAAO,IAAIF,EAAErD,GAAGqD,EAAEE,CAAC,GAAG1G,EAAEwG,EAAEF,EAAE,KAAK,CAAC,CAAC,SAASyzB,GAAGzzB,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,IAAI,SAAS,OAAOJ,EAAE,GAAG,IAAI,OAAO,OAAOzG,GAAGyG,CAAC,EAAE,GAAG,IAAI,MAAM,OAAOzO,GAAGyO,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAOxG,GAAGwG,CAAC,EAAE,GAAG,IAAI,QAAQ,OAAO/H,GAAG+H,EAAEE,CAAC,EAAE,GAAG,IAAI,YAAY,OAAO3L,GAAGyL,EAAEI,CAAC,EAAE,GAAG,IAAI,UAAU,OAAOlF,GAAG8E,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4B,IAAI,CAAC,CAAC,IAAI0zB,GAAG,CAAC1zB,EAAE,IAAI,EAAEA,EAAE,IAAI,IAAI,SAAS,SAAS2zB,GAAG,CAAC,EAAE3zB,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAIE,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGV,EAAEA,GAAG,SAAS0xB,GAAG9U,EAAE,MAAM,cAAc5c,CAAC,IAAI,GAAG,CAACyV,EAAEpX,IAAI,OAAO,IAAI,4CAA4CA,8GAA8G,EAAE,IAAIuE,EAAEjV,GAAGqQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO6C,EAAE1X,EAAE0X,EAAE7C,CAAC,GAAG0xB,GAAG7uB,EAAE5C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAE8c,EAAEzf,EAAE,IAAI,SAAS,SAAS,EAAE4C,EAAE6c,EAAE,EAAE,SAAS,SAAS,SAAS,EAAE5c,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEnJ,EAAEiJ,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG8U,EAAE5U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE4U,EAAE7U,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEsjB,GAAG,eAAe9lB,EAAE,CAAC,EAAE,IAAI4D,EAAE3D,IAAI,OAAOwC,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE4U,EAAE7U,EAAE,MAAM,CAAC,IAAIoB,EAAE,IAAI,oCAAoCA,wCAAwCpB,EAAE,MAAM,CAAC,IAAI,EAAE6U,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,uEAAuEA,oBAAoB,IAAI,EAAE,IAAI,EAAEglB,GAAGriB,EAAE,MAAMD,EAAE,MAAM1C,EAAE,EAAEE,EAAE,CAAC,EAAEkH,EAAEvF,GAAG,OAAOuF,EAAEmY,EAAE1d,EAAE,OAAO,cAAc,EAAE,CAACuF,CAAC,EAAE2W,GAAG3W,EAAE3E,CAAC,EAAEtC,IAAI,OAAOwoB,GAAG,EAAE,SAASvhB,EAAE,KAAK,GAAGmQ,EAAEnQ,EAAE,MAAM,QAAQ,EAAE,IAAI,2GAA2GA,EAAE,MAAM,SAAS,EAAEmQ,EAAEnQ,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,aAAaA,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,sCAAsCA,EAAE,gEAAgE,EAAE,cAAc,IAAI,IAAI,EAAE,GAAGrF,GAAG,KAAK,CAAC,IAAI2C,EAAE3C,EAAE,MAAM,GAAGwV,EAAE7S,EAAE,QAAQ,GAAGA,EAAE,SAAS,EAAE,IAAI,2HAA2HA,EAAE,SAAS,EAAEA,EAAE,SAAS,EAAE6S,EAAE7S,EAAE,CAAC,IAAI,GAAGA,EAAE,CAAC,IAAI,EAAE,YAAY,IAAI,oDAAoDA,4DAA4D,EAAE,eAAe,UAAUA,EAAE,SAAS,EAAE,GAAG,CAACikB,GAAGjkB,EAAE,EAAE,QAAQ,CAAC,OAAOC,EAAN,CAAS,IAAIE,EAAE,oDAAoDH,6DAA6D,EAAE,aAAa,MAAM,MAAMG,CAAC,CAAC,CAAC,EAAE0a,EAAExd,EAAE,gBAAgB,cAAc,CAAC,CAAC,IAAIwC,EAAE,CAACG,EAAEC,IAAI,CAAC4S,EAAEpX,IAAI,OAAO,IAAI,wDAAwDA,yCAAyC,EAAE,GAAG,CAAC0E,EAAEwC,EAAEvC,EAAEC,CAAC,EAAEJ,EAAEK,EAAEquB,GAAG3uB,EAAEI,EAAEhD,CAAC,EAAEyV,EAAEsO,GAAG,CAAC,EAAE,IAAI,uHAAuH,IAAI,EAAE,IAAI5gB,EAAE2iB,GAAGvgB,EAAE,MAAMrC,EAAEH,EAAE7E,EAAEE,CAAC,EAAEgF,EAAEkuB,GAAG/rB,EAAErC,EAAEH,EAAE,MAAM7E,EAAEE,CAAC,EAAEiF,EAAE,CAACF,EAAEC,CAAC,EAAE,GAAGH,GAAG,KAAK,CAAC,IAAI+C,EAAEwrB,GAAGvuB,EAAEC,CAAC,EAAEG,EAAE,KAAK2C,CAAC,CAAC,CAAC,OAAO3C,CAAC,EAAEX,EAAE,CAAC,EAAE7B,EAAE,OAAOD,EAAE,KAAK0E,EAAE,uBAAuB,CAAC,EAAE3C,EAAE,CAAC,QAAQzE,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAK1R,GAAG,CAACwU,EAAEE,EAAEwC,IAAI,CAAC,IAAIvC,EAAE4Z,EAAE,UAAUl6B,GAAGggB,EAAEC,CAAC,EAAE,OAAO4C,EAAE,CAACxC,EAAEF,EAAEG,CAAC,CAAC,EAAElC,IAAIkC,EAAEtL,EAAEsL,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASP,CAAC,CAAC,CAAC,EAAE5B,EAAED,CAAC,EAAEvS,GAAG,CAACwU,EAAEE,EAAEwC,EAAEvC,IAAI,CAAC,IAAIC,EAAE2Z,EAAE,UAAUl6B,GAAGggB,EAAEC,CAAC,EAAE,OAAOK,EAAE,CAACD,EAAEF,EAAEI,EAAEsC,CAAC,CAAC,EAAEzE,IAAImC,EAAEvL,EAAEuL,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,MAAMA,EAAE,SAASR,CAAC,CAAC,CAAC,EAAE5B,EAAED,EAAE0E,CAAC,CAAC,CAAC,IAAI4rB,GAAG17B,EAAE,CAAC,aAAam8B,EAAE,CAAC,EAAE,SAASC,GAAG5zB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE/B,EAAEA,EAAE,OAAO,IAAI+B,EAAErI,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAIgC,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAIuI,EAAE,CAAC,EAAEF,EAAE,GAAGC,CAAC,EAAEU,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAU17B,GAAG+e,EAAES,CAAC,CAAC,CAAC,IAAImxB,GAAGr8B,EAAE,CAAC,qCAAqCo8B,EAAE,CAAC,EAAE,SAASE,GAAG9zB,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGD,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAIuI,EAAE,CAAC,GAAGF,EAAE,OAAO7B,CAAC,EAAEwC,EAAE,CAAC,QAAQtC,EAAE,IAAIC,EAAE,gBAAgB,EAAE,UAAU,EAAE,WAAWL,CAAC,EAAE2C,EAAEic,EAAE,UAAUz7B,GAAG8e,EAAES,CAAC,EAAE,OAAOV,EAAEtI,EAAEiJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIoxB,GAAGv8B,EAAE,CAAC,oCAAoCs8B,EAAE,CAAC,EAAE,SAASE,GAAG,CAAC,EAAEh0B,EAAE,OAAO,EAAE,QAAQE,EAAE,IAAIE,EAAE,WAAWC,EAAE,OAAO,UAAU,EAAE,CAAC,EAAE,CAAC,EAAE,gBAAgB,EAAE,KAAK0B,EAAE,WAAWC,EAAE,SAAS,uBAAuBC,EAAE,eAAeS,CAAC,EAAE,CAAC,GAAGgxB,GAAG9U,EAAE,MAAM,cAAc5c,CAAC,IAAI,GAAG,CAAC,IAAI2C,EAAEjU,GAAGsP,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO0B,GAAG,OAAO4C,EAAEzX,EAAEyX,EAAE5C,CAAC,GAAG0xB,GAAG9uB,EAAE3C,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAIC,EAAE8c,EAAEzf,EAAE,IAAI,kBAAkB,SAAS,EAAE4C,EAAE6c,EAAE,EAAE,SAAS,kBAAkB,SAAS,EAAE5c,EAAEF,EAAEG,EAAE,GAAGH,EAAE,OAAO,IAAIG,EAAE,GAAGD,EAAEnJ,EAAEiJ,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG8U,EAAE5U,EAAE,OAAO,EAAE,IAAI,sEAAsEA,EAAE,OAAO,EAAE4U,EAAE7U,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAE6U,EAAE5U,EAAE,MAAM,CAAC,IAAID,EAAE,MAAM,CAAC,EAAE,IAAI,6DAA6DC,EAAE,MAAM,CAAC,oDAAoDD,EAAE,MAAM,CAAC,IAAI,EAAE,GAAG,OAAO,EAAE,CAAC,EAAE,CAAC,GAAG6U,EAAEuO,GAAG9lB,EAAE,CAAC,EAAE,IAAI,sFAAsFA,oBAAoB,IAAI,EAAEgmB,GAAG,wBAAwB9lB,EAAE,CAAC,EAAE,IAAI4D,EAAEkhB,GAAGriB,EAAE,MAAMD,EAAE,MAAM1C,EAAE,EAAEE,EAAE,EAAE,EAAE,EAAE,EAAE2B,GAAG,OAAO,EAAE0d,EAAE1d,EAAE,OAAO,cAAc,EAAE,CAAC,CAAC,EAAEkc,GAAG,EAAEtb,CAAC,EAAEkmB,GAAG7kB,EAAE,SAAS,EAAE,KAAK,GAAG,IAAIsD,EAAErF,GAAG,OAAOqF,EAAEmY,EAAExd,EAAE,gBAAgB,uBAAuB,GAAG,IAAI,EAAE,CAAC0C,EAAEC,IAAI,CAAC6S,EAAEsO,GAAG,CAAC,EAAE,IAAI,mHAAmH,IAAI,EAAE,GAAG,CAAClhB,EAAEE,EAAEwC,EAAEvC,CAAC,EAAEJ,EAAEK,EAAEsuB,GAAG5uB,EAAE4C,EAAEvF,CAAC,EAAEkD,EAAE6uB,GAAGhvB,EAAE,MAAME,EAAEJ,EAAE3E,EAAEE,EAAE,EAAE,CAAC,EAAE+E,EAAE0uB,GAAG9uB,EAAEE,EAAEJ,EAAE,MAAM3E,EAAEE,EAAE,EAAE,CAAC,EAAE,GAAG4E,GAAG,KAAK,CAAC,IAAII,EAAEouB,GAAG,EAAEvuB,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAEC,CAAC,CAAC,CAAC,MAAM,CAACF,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAAC,EAAE5B,EAAE,OAAOD,EAAE,KAAK,EAAE,uBAAuB0E,CAAC,EAAE5C,EAAE,CAAC,QAAQxE,EAAE,IAAIE,EAAE,WAAWC,EAAE,UAAU,EAAE,gBAAgB,EAAE,WAAW2B,EAAE,eAAeU,CAAC,EAAE,OAAOX,GAAG,KAAK1R,GAAG,CAACuU,EAAEC,EAAEE,IAAI,CAAC,IAAIwC,EAAEqX,EAAE,UAAUj6B,GAAG8f,EAAEC,CAAC,EAAE,OAAOK,EAAE,CAACF,EAAED,EAAE2C,CAAC,CAAC,EAAEzE,IAAIyE,EAAE7N,EAAE6N,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE1E,EAAED,CAAC,EAAEvS,GAAG,CAACuU,EAAEC,EAAEE,EAAEwC,IAAI,CAAC,IAAIvC,EAAE4Z,EAAE,UAAUj6B,GAAG8f,EAAEC,CAAC,EAAE,OAAO6C,EAAE,CAAC1C,EAAED,EAAEI,EAAED,CAAC,CAAC,EAAEjC,IAAIkC,EAAEtL,EAAEsL,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,MAAMA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEnC,EAAED,EAAE,CAAC,CAAC,CAAC,IAAIuwB,GAAG37B,EAAE,CAAC,sBAAsBw8B,EAAE,CAAC,EAAE,SAASC,GAAG,CAAC,EAAEj0B,EAAE,EAAE,EAAE,WAAWE,EAAE,GAAG,WAAWE,EAAE,GAAG,KAAKC,EAAE,WAAW,EAAE,SAAS,uBAAuB,EAAE,eAAe0B,EAAE,EAAE,EAAE,CAAC,GAAG2xB,GAAG9U,EAAE,MAAM,cAAc,CAAC,IAAI,GAAG,CAAC,IAAI3Z,EAAEtP,GAAGqK,EAAE,EAAEE,EAAEE,CAAC,EAAE,OAAOC,GAAG,OAAO4E,EAAE/X,EAAE+X,EAAE5E,CAAC,GAAGozB,GAAGxuB,EAAE,EAAE,EAAElD,CAAC,CAAC,CAAC,IAAIC,EAAEyd,EAAEzf,EAAE,IAAI,cAAc,EAAEiC,EAAEwd,EAAE,EAAE,IAAI,cAAc,EAAE,CAACzd,EAAEC,CAAC,EAAEgc,GAAGjc,EAAEC,CAAC,EAAE,IAAIS,EAAExC,EAAE8B,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEW,EAAEvC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEW,EAAE1C,EAAE8B,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEa,EAAEzC,EAAE6B,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEA,EAAE,MAAMA,EAAE,KAAK,CAAC,EAAEa,EAAEd,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEgC,EAAE/B,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE4V,GAAG/U,CAAC,EAAEwE,EAAEuQ,GAAG7T,CAAC,EAAEyT,EAAE/U,IAAIC,EAAE,IAAI,wCAAwCD,WAAWC,6BAA6BX,EAAE,aAAaC,EAAE,wBAAwB/B,oBAAoBE,eAAe,EAAE,IAAIqE,EAAEokB,GAAG7mB,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEC,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACW,EAAEC,CAAC,CAAC,EAAE6B,EAAExE,EAAExG,EAAEsI,EAAE,CAAC,EAAEU,EAAEE,CAAC,CAAC,EAAElJ,EAAEsI,EAAE,CAAC,EAAEY,EAAEF,CAAC,CAAC,EAAEiC,EAAEvE,EAAE1G,EAAEuI,EAAE,CAACqF,EAAEzE,EAAEF,CAAC,CAAC,EAAEjJ,EAAEuI,EAAE,CAACqF,EAAE3E,EAAEE,CAAC,CAAC,EAAE+B,EAAEvE,GAAG,OAAOuE,EAAE6a,EAAEpf,EAAE,OAAO,cAAc,EAAE,CAACuE,CAAC,EAAEqZ,GAAGrZ,EAAE5C,CAAC,EAAE6mB,GAAGpkB,EAAEG,EAAE,KAAK,GAAG,IAAIC,EAAE,GAAG,OAAOA,EAAE4a,EAAE,EAAE,gBAAgB,cAAc,GAAG,IAAI1a,EAAE,CAACE,EAAEC,IAAI,CAAC,GAAG,CAACC,EAAEC,EAAEC,EAAE2C,CAAC,EAAE9C,EAAEuC,EAAE8rB,GAAG75B,EAAEuL,EAAEI,EAAE,KAAK,EAAEA,EAAE,CAAC,EAAE4C,EAAEC,EAAG,GAAG,CAAChI,GAAG,CAACE,GAAG6H,EAAEtS,GAAG8R,EAAErC,EAAE,GAAG,EAAE,EAAE8C,EAAGvS,GAAGwP,EAAEsC,EAAE,GAAG,EAAE,GAAG,CAACvH,GAAGE,GAAG6H,EAAEtS,GAAG8R,EAAErC,EAAE,GAAG,EAAE,EAAE8C,EAAGvS,GAAG8R,EAAEtC,EAAE,GAAG,EAAE,GAAGjF,GAAG,CAACE,GAAG6H,EAAEtS,GAAGyP,EAAEqC,EAAE,GAAG,EAAE,EAAES,EAAGvS,GAAGwP,EAAEsC,EAAE,GAAG,EAAE,IAAIQ,EAAEtS,GAAGyP,EAAEqC,EAAE,GAAG,EAAE,EAAES,EAAGvS,GAAG8R,EAAEtC,EAAE,GAAG,EAAE,GAAG9E,GAAG,KAAK,CAAC,IAAI8H,EAAGqrB,GAAGxrB,EAAEP,CAAC,EAAE,MAAM,CAACQ,EAAEC,EAAGC,CAAE,CAAC,KAAM,OAAM,CAACF,EAAEC,CAAE,CAAC,EAAEX,EAAE,CAAC,EAAE7C,EAAE,EAAEC,EAAE,KAAKC,EAAE,uBAAuBC,CAAC,EAAEG,EAAE,CAAC,WAAW9E,EAAE,WAAWE,EAAE,WAAW,EAAE,eAAe2B,CAAC,EAAE,OAAO1B,GAAG,KAAKhQ,GAAG,CAAC6U,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAEuZ,EAAE,UAAU9xB,GAAGya,EAAEvC,CAAC,EAAE,OAAOI,EAAE,CAACF,EAAEC,EAAEE,CAAC,CAAC,EAAE,CAAC,MAAM3L,EAAE2L,EAAEZ,CAAC,EAAE,SAASM,CAAC,CAAC,CAAC,EAAEL,EAAEC,CAAC,EAAEtU,GAAG,CAAC6U,EAAEC,EAAEC,EAAEC,IAAI,CAAC,IAAI2C,EAAE4W,EAAE,UAAU9xB,GAAGya,EAAEvC,CAAC,EAAE,OAAOK,EAAE,CAACH,EAAEC,EAAE6C,EAAE5C,CAAC,CAAC,EAAE,CAAC,MAAM1L,EAAEsO,EAAEvD,CAAC,EAAE,SAASM,CAAC,CAAC,CAAC,EAAEL,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIwuB,GAAG57B,EAAE,CAAC,aAAay8B,EAAE,CAAC,EAAE,SAASC,GAAGl0B,EAAE,CAAC,OAAO9P,GAAG8P,EAAE,IAAI,GAAG,CAAC,CAAC,IAAIm0B,GAAG38B,EAAE,CAAC,eAAe08B,EAAE,CAAC,EAAE,SAASE,GAAGp0B,EAAE,CAAC,OAAO9P,GAAG8P,EAAE,GAAG,EAAE,CAAC,CAAC,IAAIq0B,GAAG78B,EAAE,CAAC,YAAY48B,EAAE,CAAC,EAAE,SAASE,GAAGt0B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,GAAGL,EAAE,MAAM,EAAE,KAAKzE,GAAGyE,EAAE,EAAE,CAAC,CAAC,EAAE,GAAGE,EAAE,GAAGE,EAAE,KAAK,EAAEJ,EAAE,MAAM,CAAC,IAAI+B,EAAE,EAAE,EAAE/B,EAAE,KAAKgC,EAAE5S,GAAG,CAACmM,GAAGyE,EAAE,EAAE,EAAE+B,CAAC,EAAE1P,GAAG,CAAC0P,CAAC,EAAE1B,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,EAAE,GAAG9B,CAAC,CAAC,OAAO,EAAE,SAAS,EAAE/C,GAAG,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEzD,EAAEtK,GAAG,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAImlC,GAAG/8B,EAAE,CAAC,OAAO88B,EAAE,CAAC,EAAE,SAASE,GAAGx0B,EAAE,EAAEE,EAAEE,EAAEC,EAAEg0B,GAAG,CAACj0B,GAAG,OAAOA,EAAE1O,GAAG,CAAC,GAAG,IAAI,EAAE6iC,GAAGv0B,EAAE,EAAEE,CAAC,EAAE,EAAEpJ,EAAE,EAAEuJ,EAAE,CAAC,CAAC,EAAE,OAAOrG,GAAG,EAAEoG,CAAC,CAAC,CAAC,IAAIq0B,GAAGj9B,EAAE,CAAC,MAAMg9B,EAAE,CAAC,EAAE,SAASE,GAAG10B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,WAAW,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,QAAQ,gBAAgB,SAAS,EAAEzd,EAAEyd,EAAEvf,EAAE,SAAS,gBAAgB,OAAO,EAAE+B,EAAEF,EAAE,MAAM,CAAC,EAAE0V,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,oDAAoDE,sBAAsBF,EAAE,QAAQ,EAAE0V,EAAEzV,EAAE,OAAO,GAAGA,EAAE,MAAM,CAAC,IAAIC,EAAE,IAAI,qDAAqDA,oBAAoBF,EAAE,QAAQ,EAAE0V,EAAErX,EAAE,SAAS,EAAE,IAAI,wEAAwEA,EAAE,SAAS,EAAEqX,EAAErX,EAAE,CAAC,GAAG,GAAGA,EAAE,CAAC,GAAG,EAAE,IAAI,2CAA2CA,GAAG,EAAEqX,EAAEpX,IAAI,YAAYA,IAAI,UAAU,IAAI,+CAA+CA,GAAG,EAAE,IAAIqC,EAAE,CAAC,MAAM,EAAE,MAAMX,EAAE,OAAOC,CAAC,EAAEW,EAAE,CAAC,OAAOtC,EAAE,mBAAmB,EAAE,SAASD,CAAC,EAAE,OAAOwe,EAAE,UAAUl8B,GAAGggB,EAAEC,CAAC,CAAC,CAAC,IAAIgyB,GAAGn9B,EAAE,CAAC,eAAek9B,EAAE,CAAC,EAAE,SAASE,GAAG50B,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,QAAQ,gBAAgB,SAAS,EAAEyX,EAAE,EAAE,OAAO,EAAE,IAAI,6DAA6D,EAAE,OAAO,EAAE,IAAIvX,EAAE,CAAC,MAAM,CAAC,EAAE,OAAO0e,EAAE,UAAUv6B,GAAG6b,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI20B,GAAGr9B,EAAE,CAAC,eAAeo9B,EAAE,CAAC,EAAE,SAASE,GAAG90B,EAAE,CAAC,IAAI,EAAEyf,EAAEzf,EAAE,QAAQ,gBAAgB,EAAEE,EAAE,EAAE,KAAK,EAAEE,EAAE,EAAE,MAAMF,CAAC,EAAEuX,EAAE,EAAE,MAAM,EAAE,IAAI,yEAAyE,EAAE,OAAO,EAAEA,EAAErX,IAAI,EAAE,IAAI,+FAA+FA,IAAI,EAAE,IAAIC,EAAE,IAAI,MAAM,EAAE,IAAI,EAAE,OAAOA,EAAE,KAAK,EAAE,EAAEH,CAAC,EAAEG,EAAEH,CAAC,EAAE,EAAEvC,GAAG,EAAE0C,CAAC,CAAC,CAAC,IAAI00B,GAAGv9B,EAAE,CAAC,gBAAgBs9B,EAAE,CAAC,EAAE,SAASE,GAAGh1B,EAAE,EAAEE,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,SAAS,EAAEyX,EAAEpX,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,MAAMA,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAUH,EAAE,OAAOE,CAAC,EAAE,OAAOwe,EAAE,UAAU90B,GAAG,EAAE,CAAC,CAAC,CAAC,IAAImrC,GAAGz9B,EAAE,CAAC,kBAAkBw9B,EAAE,CAAC,EAAE,SAASE,GAAGl1B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACD,GAAG,OAAOA,EAAE,IAAIC,GAAG,OAAOA,EAAE,OAAO,mBAAmB,GAAG,OAAO,EAAE,GAAG,IAAI,EAAEL,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAEuX,EAAE,GAAGrX,GAAGA,GAAG,EAAE,IAAI,4CAA4CA,IAAI,EAAEqX,EAAEzX,EAAE,OAAO,EAAE,IAAI,+CAA+CA,EAAE,OAAO,EAAEyX,EAAEzX,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,oDAAoDA,EAAE,MAAM,CAAC,GAAG,EAAEyX,EAAE,EAAE,OAAO,EAAE,IAAI,4BAA4B,EAAEA,EAAE,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,sDAAsD,cAAc,EAAE,MAAM,CAAC,GAAG,EAAEA,EAAE,GAAG,GAAG,GAAG,EAAE,IAAI,4CAA4C,IAAI,EAAE,CAAC,cAAcvX,EAAE,aAAaE,EAAE,eAAeC,EAAE,aAAa,CAAC,CAAC,CAAC,SAAS80B,GAAGn1B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,oBAAoB,SAAS,EAAE,EAAEyf,EAAE,EAAE,SAAS,oBAAoB,SAAS,EAAE1d,EAAEmzB,GAAG,EAAE,EAAEh1B,EAAEE,EAAEC,CAAC,EAAEH,EAAE6B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,CAAC,cAAc9B,EAAE,aAAaE,EAAE,eAAeC,CAAC,EAAE,OAAOue,EAAE,UAAUh3B,GAAG,CAAC,MAAM,EAAE,OAAO,CAAC,EAAEoa,CAAC,CAAC,CAAC,IAAIozB,GAAG59B,EAAE,CAAC,mBAAmB29B,EAAE,CAAC,EAAE,SAASE,GAAGr1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEk1B,GAAGt1B,EAAE,EAAEE,CAAC,EAAEG,EAAED,EAAE,EAAE,EAAEA,EAAE,GAAGA,EAAEJ,EAAE,OAAOK,EAAE,EAAE,CAAC,CAAC,CAAC,SAASi1B,GAAGt1B,EAAE,EAAEE,EAAE,CAAC,OAAOq1B,GAAGv1B,EAAE,EAAEE,GAAGs1B,EAAE,CAAC,CAAC,SAASA,GAAGx1B,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,EAAEA,EAAE,EAAE,GAAG,CAAC,CAAC,SAASu1B,GAAGv1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEC,EAAEL,EAAE,OAAO,EAAE,EAAE,EAAE,GAAG,KAAKI,EAAEC,GAAG,CAAC,EAAED,GAAGC,EAAED,IAAI,GAAG,IAAI2B,EAAE7B,EAAE,EAAEF,EAAE,CAAC,CAAC,EAAE+B,EAAE,EAAE3B,EAAE,EAAE,GAAGC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,OAAO,EAAE3B,EAAE,CAACA,EAAE,CAAC,CAAC,SAASq1B,GAAGz1B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASs1B,GAAG31B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,SAASu1B,GAAG51B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAOq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,CAAC,SAASq1B,GAAG11B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,IAAI,EAAE,CAAC,EAAE5B,GAAG4B,EAAE,KAAK,CAAC,MAAM,EAAE,CAAC,EAAE,SAAS,EAAE,mBAAmB,CAAC,CAAC,EAAEA,EAAE,KAAK4zB,EAAE,EAAE,IAAInzB,EAAE,EAAE,EAAE,IAAI,EAAE,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,KAAKD,EAAE,OAAOzC,GAAG+B,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,CAAC,MAAMqF,EAAE,SAAS,EAAE,mBAAmB7C,CAAC,EAAE,EAAE,GAAG6C,EAAEjH,EAAE,MAAM,IAAIqE,EAAE,GAAG,QAAQC,EAAEhC,EAAE,OAAO,EAAEgC,GAAGF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEkxB,GAAG91B,EAAE,EAAE2C,EAAEgC,CAAC,CAAC,EAAE,GAAGC,GAAGxE,EAAE,CAACsE,EAAE,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,EAAE,MAAMqxB,GAAG31B,EAAEsC,EAAEkC,CAAC,EAAE,EAAE,OAAOvE,EAAE,KAAK,CAAC,EAAE,mBAAmBsC,EAAE,OAAO+B,IAAI,EAAE,QAAQ4C,GAAG3E,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAK,EAAE,KAAK,GAAG,EAAE,MAAMvC,GAAGg1B,GAAGpzB,EAAE,EAAE4zB,EAAE,EAAE,CAAC,IAAIhzB,EAAEF,EAAE,OAAOG,EAAE5C,EAAE2C,EAAEd,GAAGe,EAAE,IAAIH,EAAE,KAAK,GAAG,IAAI,MAAMG,CAAC,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAE,KAAK,GAAG,IAAI,MAAME,CAAC,EAAE,KAAK,CAAC,CAAC,GAAG,IAAIkB,EAAE,CAAC,gBAAgBrB,CAAC,EAAE,OAAO,IAAIqB,EAAE,eAAepB,GAAGZ,IAAIgC,EAAE,aAAanB,GAAGmB,CAAC,CAAC,SAAS8xB,GAAG91B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,SAAS,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEK,EAAEL,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,EAAE,KAAK,IAAIE,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE2B,EAAE,KAAK,IAAI3B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE4B,EAAE,KAAK,IAAI5B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE6B,EAAE,KAAK,IAAI5B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEqC,EAAE,KAAK,IAAIrC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEsC,EAAE,KAAK,IAAItC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEuC,EAAE,KAAK,IAAIvC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEwC,GAAGd,EAAE,IAAIC,EAAE,GAAGc,GAAGH,EAAEV,IAAIW,EAAEF,GAAG,GAAGG,GAAG,GAAGC,GAAG,EAAE,MAAO,GAAE,IAAIkB,EAAE,KAAK,IAAI,EAAE/B,CAAC,EAAE,EAAE,KAAK,IAAI,EAAES,CAAC,EAAE4E,EAAE,KAAK,IAAIvF,EAAEY,CAAC,EAAE,EAAE,KAAK,IAAIX,EAAEY,CAAC,EAAE6B,EAAE,KAAK,IAAI6C,EAAEtD,EAAE,CAAC,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAE,OAAOS,GAAG5B,EAAEC,EAAE2B,EAAE,CAAC,SAASsxB,GAAG/1B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,KAAK,IAAI,EAAEF,EAAEA,CAAC,EAAE,OAAOA,GAAGF,EAAEI,EAAE,CAAC,CAAC,SAASy1B,GAAG71B,EAAE,EAAE,CAAC,OAAOA,EAAE,MAAM,EAAE,OAAOA,EAAE,QAAQ,EAAE,OAAO,EAAE,SAASA,EAAE,QAAQ,CAAC,eAAeg2B,GAAGh2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE,EAAEyf,EAAE,EAAE,SAAS,wBAAwB,EAAE1d,EAAEmzB,GAAG,EAAE,EAAEh1B,EAAEE,EAAEC,CAAC,EAAEH,EAAE6B,EAAE,cAAc3B,EAAE2B,EAAE,aAAa1B,EAAE0B,EAAE,eAAe,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,KAAK,CAAC,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAEU,EAAEV,EAAE,CAAC,EAAE,CAAC,gBAAgBW,CAAC,EAAE8yB,GAAGxzB,EAAES,EAAExC,EAAEE,EAAEC,CAAC,EAAE,OAAO,IAAIL,GAAG,EAAE,QAAQ,EAAE,IAAI,GAAG,EAAE,QAAQ,EAAE9C,GAAGyF,EAAE,OAAO,CAAC,CAAC,IAAIszB,GAAGD,GAAG,SAASE,GAAGl2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,mBAAmB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,CAAC,EAAEH,EAAE8B,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,CAAC,MAAM,EAAE,OAAOF,CAAC,EAAEW,EAAE,CAAC,cAAcxC,EAAE,aAAaE,EAAE,eAAeC,EAAE,aAAa,CAAC,EAAEsC,EAAEic,EAAE,UAAU92B,GAAGma,EAAES,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,CAAC,EAAE,eAAeA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIwzB,GAAG3+B,EAAE,CAAC,4BAA4B0+B,EAAE,CAAC,EAAE,eAAeE,GAAGp2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,wBAAwB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,CAAC,EAAEH,EAAE8B,EAAE,cAAc5B,EAAE4B,EAAE,aAAa3B,EAAE2B,EAAE,eAAe,EAAEA,EAAE,aAAa,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,CAAC,EAAEW,EAAET,EAAE,CAAC,EAAEU,EAAEV,EAAE,CAAC,EAAE,CAAC,gBAAgBW,EAAE,eAAeC,CAAC,EAAE+yB,GAAGlzB,EAAEC,EAAEzC,EAAEE,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAIL,GAAG,EAAE,QAAQ,EAAE+B,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB7E,GAAG0F,EAAE,OAAO,EAAE,eAAe1F,GAAG2F,CAAC,CAAC,CAAC,CAAC,IAAIwzB,GAAGD,GAAG,SAASE,GAAGt2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,mBAAmB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,mBAAmB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAeY,EAAE,CAAC,MAAM,EAAE,OAAOb,CAAC,EAAEc,EAAE,CAAC,cAAcZ,EAAE,aAAaS,EAAE,eAAeC,EAAE,mBAAmB,CAAC,EAAEG,EAAE8b,EAAE,UAAU/2B,GAAG+a,EAAEC,CAAC,EAAE,MAAM,CAAC,gBAAgBC,EAAE,CAAC,EAAE,aAAaA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIyzB,GAAG/+B,EAAE,CAAC,yBAAyB8+B,EAAE,CAAC,EAAE,eAAeE,GAAGx2B,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,OAAO,kBAAkB,EAAE,GAAG,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,wBAAwB,EAAE+B,EAAE0d,EAAE,EAAE,SAAS,wBAAwB,EAAEzd,EAAEkzB,GAAG,EAAEnzB,EAAE7B,EAAEE,EAAEC,EAAE,IAAI,EAAE4B,EAAED,EAAE,cAAcU,EAAEV,EAAE,aAAaW,EAAEX,EAAE,eAAe,CAACY,EAAEC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAEd,EAAE,KAAK,CAAC,CAAC,EAAE,CAAC,gBAAgBe,EAAE,aAAakB,CAAC,EAAE2xB,GAAG/yB,EAAEC,EAAEZ,EAAES,EAAEC,EAAE,CAAC,EAAE,OAAO,IAAI3C,GAAG,EAAE,QAAQ,EAAE+B,IAAI,GAAGA,EAAE,QAAQ,EAAE,CAAC,gBAAgB7E,GAAG4F,EAAE,OAAO,EAAE,aAAa3I,GAAG6J,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIyyB,GAAGD,GAAG,SAASE,GAAG12B,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,gBAAgB,EAAEyX,EAAEpX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,gEAAgEA,EAAE,OAAO,EAAEoX,EAAE,EAAE,SAAS,EAAE,IAAI,6DAA6D,IAAI,EAAEA,EAAErX,IAAI,IAAIF,IAAI,GAAG,IAAI,mFAAmF,EAAE,IAAI,EAAEG,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE3G,EAAE2G,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAa9B,EAAE,iBAAiBE,EAAE,KAAK,CAAC,EAAE6B,EAAE2c,EAAE,UAAUn1B,GAAGsY,EAAEC,CAAC,EAAE,OAAO,EAAEtI,EAAEuI,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI00B,GAAGn/B,EAAE,CAAC,gBAAgBk/B,EAAE,CAAC,EAAE,SAASE,GAAG52B,EAAE,EAAEE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,SAAS,uBAAuB,EAAEyX,EAAEpX,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,IAAI,uEAAuEA,EAAE,OAAO,EAAEoX,EAAE,EAAE,SAAS,EAAE,IAAI,oEAAoE,IAAI,EAAEA,EAAEpX,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,kDAAkD,EAAEoX,EAAErX,IAAI,IAAIF,IAAI,GAAG,IAAI,0FAA0F,EAAE,IAAI,EAAEG,EAAE,EAAE,GAAGA,EAAE,OAAO,IAAI,EAAE,GAAG,EAAE3G,EAAE2G,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,GAAG,CAAC,EAAE,EAAE0B,EAAE,CAAC,OAAO,CAAC,EAAEC,EAAE,CAAC,aAAa9B,EAAE,iBAAiBE,EAAE,KAAK,CAAC,EAAE6B,EAAE2c,EAAE,UAAUj1B,GAAGoY,EAAEC,CAAC,EAAE,OAAO,EAAEtI,EAAEuI,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI40B,GAAGr/B,EAAE,CAAC,uBAAuBo/B,EAAE,CAAC,EAAE,SAASE,GAAG92B,EAAE,EAAE,SAASE,EAAE,GAAGE,EAAE,GAAG,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,QAAQ,WAAW,EAAE,EAAE,MAAM,EAAE,KAAK+B,EAAE,KAAKC,EAAE3B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE4B,EAAEnL,EAAEoG,GAAG,CAACkD,CAAC,CAAC,EAAE,GAAG,EAAEsC,EAAEC,EAAEC,EAAEC,EAAE,GAAG4U,EAAEpX,EAAE,OAAO,EAAE,IAAI,yDAAyDA,EAAE,OAAO,EAAEoX,EAAEpX,EAAE,MAAM,CAAC,IAAI,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,0EAA0EA,EAAE,MAAM,CAAC,IAAI,EAAEoX,EAAEpX,EAAE,QAAQ,SAASA,EAAE,QAAQ,UAAU,IAAI,sEAAsEA,EAAE,QAAQ,EAAEoX,EAAE,IAAI,QAAQ,IAAI,SAAS,IAAI,0CAA0C,GAAG,EAAEpX,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,CAACqC,EAAEC,EAAEC,CAAC,EAAEzG,GAAGkE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI4D,EAAEnN,EAAE4L,EAAE,CAAC,EAAE4E,EAAExQ,EAAE6L,EAAE,CAAC,EAAEmC,EAAEhO,EAAE8L,EAAEb,CAAC,EAAEc,EAAE3V,EAAEA,EAAE+W,EAAEqD,CAAC,EAAExC,CAAC,CAAC,MAAMjC,EAAE7C,EAAE,GAAG,IAAI,OAAO,CAAC,IAAIiE,EAAE1V,GAAGQ,GAAEkL,GAAG4I,CAAC,EAAE,OAAO,EAAE5F,GAAG,CAAC,CAAC,EAAE,GAAG,EAAEgF,EAAE80B,GAAG9yB,EAAEjC,CAAC,CAAC,CAAC,IAAIc,EAAE5C,EAAEzL,GAAGoO,EAAEZ,CAAC,EAAE1O,GAAGsP,EAAEZ,CAAC,EAAE,OAAOlT,GAAE+H,EAAEgM,EAAE,GAAG,EAAE,OAAO,CAAC,CAAC,SAASi0B,GAAG/2B,EAAE,EAAE,CAAC,IAAIE,EAAEhD,GAAG,CAAC,EAAE,CAAC,EAAEkD,EAAElD,GAAG,CAAC,CAAC,CAAC,EAAEmD,EAAEnD,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE6E,EAAEC,EAAEC,EAAES,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,KAAK,EAAE2C,IAAI,CAAC,EAAEpH,GAAGyE,EAAE,EAAE2C,EAAE,CAAC,EAAE,EAAEpH,GAAGyE,EAAE2C,EAAE,CAAC,EAAEV,EAAE/Q,GAAG2L,GAAG,CAAC,EAAE,CAAC,EAAE6F,EAAExR,GAAG2L,GAAG,CAAC,EAAE,CAAC,EAAE,IAAI+F,EAAE/F,GAAG/F,EAAE,EAAE+B,GAAG,EAAE,EAAE,IAAI,CAAC,CAAC,EAAEkJ,EAAE7Q,GAAG0R,EAAE/F,GAAG,CAAC,CAAC,EAAE,IAAIgG,EAAExQ,GAAG,EAAE,MAAM,EAAE,IAAI,EAAEyQ,EAAE5V,EAAE2L,GAAG,EAAE,EAAE,IAAI,EAAEgK,CAAC,EAAEmB,EAAElN,EAAE,EAAEgM,CAAC,EAAEd,EAAE9Q,GAAG2L,GAAGmH,CAAC,EAAEnH,GAAG,CAAC,CAAC,EAAE,IAAI,EAAED,GAAGmF,EAAEC,CAAC,EAAEsF,EAAE1K,GAAGmF,EAAEC,CAAC,EAAE,EAAElL,EAAEmL,EAAES,CAAC,EAAErC,EAAEvJ,EAAEA,EAAE,EAAE,CAAC,EAAEwQ,CAAC,EAAE,IAAI7C,EAAElR,GAAG8M,EAAED,CAAC,EAAEA,EAAEf,GAAGoF,EAAEpE,EAAED,CAAC,EAAEF,EAAEb,GAAGoF,EAAEvH,GAAG,CAACyF,CAAC,CAAC,EAAEzC,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI82B,GAAGx/B,EAAE,CAAC,WAAWs/B,EAAE,CAAC,EAAE,SAASG,GAAGj3B,EAAE,EAAEE,EAAE,UAAUE,EAAE,WAAWC,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,QAAQ,YAAY,SAAS,EAAE+B,EAAE0d,EAAE,EAAE,aAAa,YAAY,SAAS,EAAEhI,EAAE,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,OAAO,EAAEA,EAAE1V,EAAE,OAAO,IAAIA,EAAE,MAAM,CAAC,IAAI,EAAE,MAAM,CAAC,GAAGA,EAAE,MAAM,CAAC,IAAI,IAAIA,EAAE,MAAM,CAAC,IAAI,EAAE,IAAI,kEAAkE,EAAE0V,EAAE,GAAG,MAAM,EAAE,SAAS,EAAE,IAAI,4EAA4E,IAAI,EAAE,IAAIzV,EAAE,CAAC,MAAM,EAAE,WAAWD,CAAC,EAAEE,EAAE,CAAC,cAAc/B,EAAE,SAASE,EAAE,UAAUC,EAAE,YAAY,CAAC,EAAE,OAAOue,EAAE,UAAUtyB,GAAG0V,EAAEC,CAAC,CAAC,CAAC,IAAIi1B,GAAG1/B,EAAE,CAAC,WAAWy/B,EAAE,CAAC,EAAE,SAASE,GAAGn3B,EAAE,EAAEE,EAAE,CAACuX,EAAE,EAAE,IAAI,EAAE,IAAI,gDAAgD,IAAI,EAAEA,EAAEvX,EAAE,IAAI,EAAE,IAAI,gDAAgDA,IAAI,EAAE,IAAIE,EAAEqf,EAAEzf,EAAE,IAAI,UAAU,EAAEyX,EAAErX,EAAE,MAAM,EAAE,IAAI,4CAA4CA,EAAE,OAAO,EAAE,IAAIC,EAAED,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,MAAM,EAAE,EAAE,GAAG,EAAE,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyB,mDAAmD,KAAK,EAAE,GAAG,EAAEF,GAAG,GAAG,MAAM,IAAI,MAAM,yBAAyBA,sDAAsD,KAAK,EAAE,EAAE,IAAI,EAAE,GAAGA,EAAE,IAAIA,EAAE,GAAG,IAAI6B,EAAErI,EAAEb,GAAG,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,GAAG,CAAC,CAAC,EAAEmJ,EAAEnJ,GAAG,EAAE,EAAE,EAAE,OAAO,EAAEoJ,EAAErF,GAAGmF,EAAEC,CAAC,EAAEU,EAAErN,GAAGZ,GAAGwN,EAAE9H,GAAG,CAAC,EAAE,OAAO,CAAC,EAAE3G,GAAGyO,EAAE9H,GAAG,CAAC+F,EAAE,OAAO,CAAC,CAAC,EAAEyC,EAAEpD,GAAG,CAAC,EAAE,CAAC,EAAEa,EAAE,KAAK,EAAE,OAAO1G,EAAE8C,GAAG6B,GAAG3E,EAAE0G,EAAE,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIwC,GAAGvD,GAAGqD,EAAEE,EAAED,CAAC,CAAC,CAAC,EAAEtC,CAAC,CAAC,CAAC,IAAI+2B,GAAG5/B,EAAE,CAAC,UAAU2/B,EAAE,CAAC,EAAE,SAASE,GAAGr3B,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,GAAGyX,EAAEzX,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,mEAAmE,EAAE,IAAIK,EAAEL,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEyX,EAAEzX,EAAE,CAAC,EAAE,MAAM,CAAC,IAAIK,EAAE,IAAI,iEAAiEL,EAAE,CAAC,EAAE,MAAM,CAAC,SAASK,IAAI,CAAC,MAAM,EAAE,GAAGL,EAAE7D,GAAG6D,EAAEA,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,IAAIK,GAAG9D,GAAG8D,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEoX,EAAEzX,EAAE,QAAQA,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,oCAAoCA,EAAE,yCAAyCA,EAAE,CAAC,EAAE,MAAM,CAAC,KAAK,EAAE,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,QAAQK,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEH,EAAE,KAAK0e,EAAE,KAAK,IAAI,CAAC,IAAI,EAAExe,EAAEC,CAAC,EAAE,GAAGA,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAEjL,EAAE+F,GAAG/F,EAAEoJ,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAEtD,GAAG,EAAEmF,CAAC,CAAC,CAAC,OAAO7Q,GAAG,EAAEiG,GAAG,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAEqF,GAAG0D,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIo3B,GAAG9/B,EAAE,CAAC,aAAa6/B,EAAE,CAAC,EAAE,SAASE,GAAGv3B,EAAE,EAAE,GAAG,CAAC,GAAGyX,EAAEzX,EAAE,MAAM,EAAE,IAAI,gEAAgEA,EAAE,MAAM,EAAEA,EAAE,OAAO,EAAE,OAAOw3B,GAAGx3B,EAAE,CAAC,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,OAAO,CAAC,EAAE,OAAO,CAACgC,EAAEC,IAAID,EAAEC,CAAC,EAAE7B,EAAE/B,GAAG3E,EAAEsG,EAAE,CAACE,EAAEF,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE,CAAC,EAAEK,EAAE,CAAC,EAAE,EAAE,CAAC,EAAED,EAAE,QAAQ4B,GAAG,CAAC,GAAG,CAACC,EAAES,CAAC,EAAE80B,GAAGx1B,EAAE,CAAC,EAAE3B,EAAE,KAAK4B,CAAC,EAAE,EAAE,KAAKS,CAAC,CAAC,CAAC,EAAE,IAAI,EAAEhJ,EAAE8C,GAAG6D,EAAE,CAAC,EAAEL,EAAE,KAAK,EAAE+B,EAAErI,EAAE8C,GAAG,EAAE,CAAC,EAAEwD,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE+B,CAAC,CAAC,CAAC,CAAC,SAASy1B,GAAGx3B,EAAE,EAAE,GAAG,CAAC,OAAO4e,EAAE,KAAK,IAAI,CAACnH,EAAEzX,EAAE,MAAM,SAAS,EAAE,IAAI,0CAA0CA,EAAE,MAAM,iBAAiB,EAAE,IAAIE,EAAEF,EAAE,MAAM,CAAC,EAAEI,EAAEJ,EAAE,MAAM,CAAC,EAAEK,EAAElO,GAAG+N,CAAC,EAAE,EAAEhR,GAAG8Q,CAAC,EAAE,EAAE7C,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE4E,EAAE7S,GAAG,CAAC,EAAE8S,EAAE9B,GAAGE,EAAEA,EAAEF,EAAE,QAAQ+B,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAIS,EAAE,EAAEC,EAAEZ,EAAEa,EAAEvC,EAAE,CAAC0B,EAAE,EAAE1B,CAAC,EAAEue,EAAE,KAAK,IAAI,CAAC,IAAI/b,EAAEtH,GAAG,EAAE,CAAC0G,EAAEA,CAAC,EAAE,CAAC/B,EAAE+B,EAAE,CAAC,CAAC,EAAEa,EAAE3L,GAAG0L,CAAC,EAAEmB,EAAEzI,GAAG,EAAE,CAAC0G,EAAEA,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE5C,GAAG9L,GAAGyQ,EAAE,CAAC,EAAE7G,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEmK,EAAE1K,GAAGoH,EAAElN,EAAE,EAAEgM,CAAC,CAAC,EAAE,EAAE5R,GAAG2R,EAAEyE,CAAC,EAAE,EAAE,MAAM,CAAC,IAAI,EAAEvF,EAAE7S,GAAG,CAAC,EAAE6S,EAAE3S,GAAG,CAAC,EAAEmM,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,IAAIkJ,EAAExN,GAAG/F,GAAGyE,GAAG,EAAE2R,CAAC,EAAExE,CAAC,CAAC,EAAE4B,EAAEnJ,GAAG,EAAE,CAAC0G,EAAE,CAAC,EAAE,CAAC/B,EAAE+B,EAAE7B,CAAC,CAAC,EAAEuE,EAAE7N,EAAE2N,EAAE1C,CAAC,EAAE6C,EAAE7G,GAAGgE,CAAC,EAAE,GAAGE,IAAI,EAAE,EAAErF,GAAG8H,EAAE/O,GAAGgP,EAAEhP,GAAGiP,EAAEF,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI6C,EAAE3K,GAAG8H,EAAE/O,GAAGgP,EAAEhP,GAAGiP,EAAEF,CAAC,CAAC,CAAC,EAAE,EAAEtV,GAAG,CAACmM,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC0G,EAAE7B,CAAC,CAAC,EAAEmH,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI1C,EAAE9G,GAAG4G,CAAC,EAAEI,EAAExJ,GAAG8E,EAAE,CAAC,EAAE4B,CAAC,EAAE,CAAC/B,EAAEG,EAAE,MAAM,CAAC,EAAE4B,CAAC,CAAC,EAAE,GAAGA,IAAI,EAAE5B,EAAEzD,GAAGmI,EAAEpP,GAAGA,GAAGoP,EAAEhD,CAAC,EAAE8C,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE3K,GAAGmI,EAAEpP,GAAGA,GAAGoP,EAAEhD,CAAC,EAAE8C,CAAC,CAAC,EAAExE,EAAEjR,GAAG,CAACmM,GAAG8E,EAAE,CAAC,EAAE,CAAC,EAAE,CAACH,EAAE+B,CAAC,CAAC,EAAEsF,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,CAACxF,EAAE,EAAE1B,CAAC,CAAC,CAAC,EAAErP,GAAG,CAAC0R,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG1C,EAAEE,IAAIC,EAAE9E,GAAG8E,EAAE,CAAC,EAAE,CAAC,EAAE,CAACH,EAAEE,CAAC,CAAC,EAAE,EAAE7E,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC6E,EAAEA,CAAC,CAAC,GAAG,CAACC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIo3B,GAAGjgC,EAAE,CAAC,IAAI+/B,EAAE,CAAC,EAAMluC,IAAI,SAAS2W,EAAE,CAACA,EAAEA,EAAE,KAAK,CAAC,EAAE,OAAOA,EAAEA,EAAE,KAAK,CAAC,EAAE,OAAOA,EAAEA,EAAE,IAAI,CAAC,EAAE,MAAMA,EAAEA,EAAE,uBAAuB,CAAC,EAAE,wBAAwB,GAAG3W,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASquC,GAAG13B,EAAE,EAAEE,EAAE7W,GAAG,uBAAuB,CAAC,IAAI+W,EAAEqf,EAAEzf,EAAE,SAAS,qBAAqB,EAAEK,EAAE,KAAK,GAAG,OAAOA,EAAEof,EAAE,EAAE,UAAU,qBAAqB,GAAG,IAAI,EAAEpf,GAAG,KAAKD,EAAEtJ,EAAEsJ,EAAEC,CAAC,EAAE,GAAGH,IAAI7W,GAAG,KAAK,OAAO,EAAE,GAAG6W,IAAI7W,GAAG,IAAI,OAAOwT,GAAG,CAAC,EAAE,GAAGqD,IAAI7W,GAAG,KAAK,CAAC,GAAGgX,GAAG,KAAK,OAAOnK,GAAG,CAAC,EAAE,CAAC,IAAI,EAAEkK,EAAE,KAAKC,EAAE,KAAK0B,EAAE7Q,GAAG2L,GAAG,CAAC,EAAEA,GAAGwD,CAAC,CAAC,EAAE,OAAO,EAAE,EAAEnP,GAAG6Q,EAAE5H,GAAG,CAAC,CAAC,EAAE4H,CAAC,CAAC,CAAC,GAAG7B,IAAI7W,GAAG,uBAAuB,CAAC,GAAGgX,GAAG,KAAK,OAAOnP,GAAG2L,GAAG,CAAC,EAAE1C,GAAGiG,EAAE,IAAI,CAAC,EAAE,CAAC,IAAI,EAAEtJ,EAAEuJ,EAAE/I,GAAG8I,EAAE,KAAK,CAAC,EAAE2B,EAAEhT,GAAE8N,GAAGzF,GAAG,EAAE+C,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS,EAAE,OAAOjJ,GAAG2L,GAAG,CAAC,EAAEkF,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,sBAAsB7B,GAAG,CAAC,CAAC,IAAIy3B,GAAGngC,EAAE,CAAC,qBAAqBkgC,EAAE,CAAC,EAAE,SAASE,GAAG53B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,oBAAoB,EAAE,EAAEyf,EAAE,EAAE,cAAc,oBAAoB,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,oBAAoB,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,+BAA+B,EAAE,IAAI0B,EAAEhV,GAAG6P,GAAGyD,EAAE,CAAC,CAAC,EAAE,OAAOs3B,GAAG51B,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIy3B,GAAGrgC,EAAE,CAAC,oBAAoBogC,EAAE,CAAC,EAAE,SAASE,GAAG93B,EAAE,EAAEE,EAAEE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,gBAAgB,EAAE,EAAEyf,EAAE,EAAE,cAAc,gBAAgB,EAAE1d,EAAE,KAAK3B,GAAG,OAAO2B,EAAE0d,EAAErf,EAAE,UAAU,gBAAgB,GAAGsX,GAAG,EAAE,MAAM,EAAE,MAAM,2BAA2B,EAAE,IAAI1V,EAAE7H,GAAG,CAAC,EAAE8H,EAAErF,GAAGoF,EAAEnF,GAAG/F,EAAE,EAAE,CAAC,EAAEoJ,EAAE,EAAE,CAAC,EAAE,OAAOy3B,GAAG11B,EAAEF,EAAE1B,CAAC,CAAC,CAAC,IAAI03B,GAAGvgC,EAAE,CAAC,gBAAgBsgC,EAAE,CAAC,EAAE,SAASE,GAAGh4B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,WAAW,EAAE,EAAEyf,EAAE,EAAE,cAAc,WAAW,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,WAAW,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI0B,EAAE5H,GAAG,CAAC,EAAEkG,EAAEzD,GAAG9F,EAAEqD,GAAG,CAAC,EAAEkG,CAAC,EAAE0B,CAAC,EAAE,IAAIC,EAAEzI,GAAGqD,GAAGmF,EAAEjL,EAAEuJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAOs3B,GAAG31B,EAAE,EAAE5B,CAAC,CAAC,CAAC,IAAI63B,GAAGzgC,EAAE,CAAC,WAAWwgC,EAAE,CAAC,EAAE,SAASE,GAAGl4B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,WAAW,EAAE,EAAEyf,EAAE,EAAE,cAAc,WAAW,EAAE1d,EAAE,KAAK7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,WAAW,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,sBAAsB,EAAE,IAAI1V,EAAE7H,GAAGiG,CAAC,EAAE6B,EAAElV,GAAG6P,GAAG,EAAE,CAAC,CAAC,EAAE8F,EAAEnM,GAAG0L,EAAED,CAAC,EAAEW,EAAE/F,GAAGqF,EAAES,CAAC,EAAEE,EAAE1V,EAAE4J,EAAEqD,GAAG,EAAE,EAAEkC,GAAGqG,CAAC,CAAC,EAAE5L,EAAEkL,EAAEW,CAAC,CAAC,EAAE,OAAOg1B,GAAG/0B,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAI83B,GAAG3gC,EAAE,CAAC,WAAW0gC,EAAE,CAAC,EAAE,SAASE,GAAGp4B,EAAE,EAAEE,EAAEE,EAAE,KAAKC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,SAAS,SAAS,EAAE,EAAEyf,EAAE,EAAE,cAAc,SAAS,EAAE1d,EAAE,KAAK7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,SAAS,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,oBAAoB,EAAE,IAAI1V,EAAE7H,GAAG,CAAC,EAAE8H,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEzL,GAAGH,EAAE,EAAE9B,GAAG9H,EAAE,EAAE+U,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE7L,EAAE8F,GAAGoF,EAAE,CAAC,EAAEhN,GAAG9H,EAAE0P,GAAGoF,EAAE,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAEW,EAAEhG,GAAG8F,EAAEC,CAAC,EAAE,OAAOg1B,GAAG/0B,EAAEb,EAAE1B,CAAC,CAAC,CAAC,IAAIg4B,GAAG7gC,EAAE,CAAC,SAAS4gC,EAAE,CAAC,EAAE,SAASE,GAAGt4B,EAAE,EAAEE,EAAEE,EAAE/W,GAAG,uBAAuB,CAAC,IAAIgX,EAAEof,EAAEzf,EAAE,SAAS,kBAAkB,EAAE,EAAEyf,EAAE,EAAE,cAAc,kBAAkB,EAAE,EAAE,KAAKvf,GAAG,OAAO,EAAEuf,EAAEvf,EAAE,UAAU,kBAAkB,GAAGwX,GAAGrX,EAAE,MAAM,EAAE,MAAM,6BAA6B,EAAE,IAAI0B,EAAEzF,GAAG+D,EAAE,CAAC,EAAE,OAAOs3B,GAAG51B,EAAE,EAAE3B,CAAC,CAAC,CAAC,IAAIm4B,GAAG/gC,EAAE,CAAC,kBAAkB8gC,EAAE,CAAC,EAAE,SAASE,GAAGx4B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,SAAS,+BAA+B,EAAEI,EAAEqf,EAAE,EAAE,SAAS,+BAA+B,EAAE/H,GAAGxX,EAAE,MAAME,EAAE,MAAM,0CAA0C,EAAE,IAAIC,EAAE9G,GAAG6G,CAAC,EAAE,EAAEtJ,EAAEsJ,EAAEF,CAAC,EAAE,EAAEjL,GAAGjD,GAAGiF,GAAGlK,GAAGqT,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOlT,EAAE0P,GAAGyD,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAASo4B,GAAGz4B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,mBAAmB,qBAAqB,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE1d,EAAE,KAAK,GAAG7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,qBAAqB,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEtX,EAAE,EAAE,CAAC,IAAI6B,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEvI,GAAG,CAAC,EAAEwI,EAAExI,GAAG,EAAE,EAAE,EAAEjN,EAAE4J,EAAE,EAAE8F,GAAG8F,EAAET,CAAC,CAAC,EAAEnL,EAAE6L,EAAEV,CAAC,CAAC,CAAC,CAAC,IAAID,EAAEw2B,GAAG,EAAE,CAAC,EAAE,OAAOb,GAAG31B,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAIq4B,GAAGlhC,EAAE,CAAC,qBAAqBihC,EAAE,CAAC,EAAE,SAASE,GAAG34B,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAKA,EAAE,EAAE,KAAK,GAAGA,IAAI,EAAE,KAAK,EAAE,MAAM,MAAM,mGAAmG,EAAE,oBAAoBA,GAAG,EAAE,OAAO7P,GAAG,CAACgQ,EAAEwB,EAAEC,IAAI,CAAC,IAAIE,EAAE5M,GAAGyM,EAAE,CAAC3B,CAAC,EAAE,EAAE,EAAE+B,EAAErF,GAAG7N,GAAE8S,EAAE,SAAS,EAAEG,CAAC,EAAEF,EAAE,CAACzB,EAAE4B,CAAC,CAAC,EAAE,IAAIS,EAAEzL,GAAGH,EAAEmL,EAAE5B,CAAC,CAAC,EAAE,MAAM,CAAC,MAAMxD,GAAG6F,EAAE,CAACxC,CAAC,CAAC,EAAE,SAAS,CAAC2C,EAAEC,IAAI,CAAC,GAAG,CAACkB,EAAEC,CAAC,EAAEnB,EAAEwE,EAAEqiB,GAAG9mB,EAAE,MAAM,CAAC3C,CAAC,CAAC,EAAE,MAAM,CAACpJ,EAAE4C,EAAEmJ,EAAEyE,CAAC,EAAE1K,GAAG7N,GAAEiV,EAAE,SAAS,EAAEhS,GAAGiS,CAAC,CAAC,CAAC,EAAEnN,EAAE4C,EAAEmJ,EAAEyE,CAAC,EAAE1K,GAAG5K,GAAGiS,CAAC,EAAElV,GAAEiV,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEhE,EAAE,CAAC,CAAC,CAAC,SAAS44B,GAAG54B,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAEhX,GAAG,uBAAuB,CAAC,IAAI,EAAEo2B,EAAEzf,EAAE,eAAe,qBAAqB,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE1d,EAAE,KAAK,GAAG7B,GAAG,OAAO6B,EAAE0d,EAAEvf,EAAE,UAAU,qBAAqB,GAAGwX,GAAG,EAAE,MAAM,EAAE,MAAM,gCAAgC,EAAEtX,EAAE,EAAE,CAAC,IAAI6B,EAAE9H,GAAGiG,CAAC,EAAEsC,EAAEvI,GAAG,CAAC,EAAEwI,EAAExI,GAAG,EAAE,MAAM,CAAC,CAAC,EAAE,EAAEjN,EAAE4J,EAAE,EAAE8F,GAAG8F,EAAET,CAAC,CAAC,EAAE/Q,GAAG+Q,EAAEU,CAAC,CAAC,CAAC,CAAC,IAAIX,EAAE22B,GAAG,EAAE,CAAC,EAAE,OAAOhB,GAAG31B,EAAED,EAAE1B,CAAC,CAAC,CAAC,IAAIw4B,GAAGrhC,EAAE,CAAC,qBAAqBohC,EAAE,CAAC,EAAE,SAASE,GAAG94B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEof,EAAEzf,EAAE,UAAU,sBAAsB,OAAO,EAAE,EAAEyf,EAAE,EAAE,SAAS,qBAAqB,EAAE,EAAEA,EAAEvf,EAAE,aAAa,sBAAsB,OAAO,EAAE6B,EAAE0d,EAAErf,EAAE,eAAe,sBAAsB,EAAE,KAAK,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UAC5s8CA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO,EAAE,GAAG0B,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,IAAIC,EAAE,CAAC,QAAQ3B,EAAE,OAAO,EAAE,WAAW,EAAE,aAAa0B,CAAC,EAAEE,EAAE2c,EAAE,UAAU7zB,GAAGiX,CAAC,EAAE,MAAM,CAAC,cAAcC,EAAE,CAAC,EAAE,aAAaA,EAAE,CAAC,EAAE,kBAAkBA,EAAE,CAAC,EAAE,gBAAgBA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI82B,GAAGvhC,EAAE,CAAC,qBAAqBshC,EAAE,CAAC,EAAE,SAASE,GAAGh5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,eAAe,gBAAgB,OAAO,EAAEK,EAAEof,EAAE,EAAE,aAAa,gBAAgB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,WAAW,gBAAgB,OAAO,EAAE,GAAGE,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,UACnqBA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,aAAaD,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE0B,EAAE6c,EAAE,UAAU5zB,GAAG,CAAC,EAAE,MAAM,CAAC,cAAc+W,EAAE,CAAC,EAAE,YAAYA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIk3B,GAAGzhC,EAAE,CAAC,eAAewhC,EAAE,CAAC,EAAE,SAASE,GAAGl5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,OAAO,mBAAmB,EAAEK,EAAEof,EAAE,EAAE,UAAU,oBAAoB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,aAAa,oBAAoB,OAAO,EAAE,GAAGE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YAC7lBA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAOue,EAAE,UAAU3zB,GAAG,CAAC,CAAC,CAAC,IAAIkuC,GAAG3hC,EAAE,CAAC,mBAAmB0hC,EAAE,CAAC,EAAE,SAASE,GAAGp5B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,OAAO,kBAAkB,EAAEK,EAAEof,EAAE,EAAE,UAAU,mBAAmB,OAAO,EAAE,EAAEA,EAAEvf,EAAE,aAAa,mBAAmB,OAAO,EAAE,GAAGE,EAAE,KAAK,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACvXA,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,KAAKD,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,OAAOue,EAAE,UAAU1zB,GAAG,CAAC,CAAC,CAAC,IAAImuC,GAAG7hC,EAAE,CAAC,kBAAkB4hC,EAAE,CAAC,EAAE,SAASE,GAAGt5B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAEyd,EAAEzf,EAAE,OAAO,eAAe,QAAQ,EAAE,GAAGgC,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,iCAAiC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+BA,EAAE,OAAO,EAAE,IAAIC,EAAEwd,EAAE,EAAE,aAAa,cAAc,EAAE,GAAGxd,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIS,EAAE,CAAC,UAAUxC,EAAE,YAAYE,EAAE,QAAQC,EAAE,SAAS,EAAE,SAAS,EAAE,uBAAuB0B,CAAC,EAAEY,EAAE,CAAC,KAAKX,EAAE,WAAWC,CAAC,EAAEW,EAAEgc,EAAE,UAAUlzB,GAAGiX,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,CAAC,EAAE,aAAaA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI22B,GAAG/hC,EAAE,CAAC,cAAc8hC,EAAE,CAAC,EAAE,SAASE,GAAGx5B,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,QAAQ,cAAc,QAAQ,EAAEK,EAAEof,EAAE,EAAE,YAAY,cAAc,QAAQ,EAAE,GAAGrf,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,OAAO,EAAE,GAAGC,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mDAAmDA,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,UAAUH,CAAC,EAAE,EAAE,CAAC,MAAME,EAAE,UAAUC,CAAC,EAAE0B,EAAE6c,EAAE,UAAUjzB,GAAG,EAAE,CAAC,EAAE,MAAM,CAAC,QAAQoW,EAAE,CAAC,EAAE,OAAOA,EAAE,CAAC,EAAE,MAAMA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI03B,GAAGjiC,EAAE,CAAC,aAAagiC,EAAE,CAAC,EAAE,SAASE,GAAG15B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,QAAQ,yBAAyB,QAAQ,EAAEI,EAAE,CAAC,WAAW,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAIC,EAAE,CAAC,MAAMH,CAAC,EAAE,OAAO0e,EAAE,UAAUhzB,GAAGyU,EAAED,CAAC,CAAC,CAAC,IAAIu5B,GAAGniC,EAAE,CAAC,wBAAwBkiC,EAAE,CAAC,EAAMx9B,GAAG,CAAC,IAAI9J,GAAG,KAAKqB,GAAG,KAAKuG,GAAG,MAAMhG,EAAE,EAAEoH,GAAG,CAAC,cAAc+4B,GAAG,WAAWE,GAAG,MAAME,GAAG,KAAKE,EAAE,EAAE9gC,GAAG,CAAC,cAAckhC,GAAG,eAAeE,GAAG,sBAAsB8B,GAAG,eAAeF,GAAG,iBAAiB1B,GAAG,cAAcN,GAAG,kBAAkBS,GAAG,uBAAuBa,GAAG,2BAA2BE,GAAG,gCAAgCE,GAAG,wBAAwBE,GAAG,6BAA6BE,GAAG,UAAUO,GAAG,UAAUE,EAAE,EAAExiC,GAAG,CAAC,SAAS0iC,GAAG,YAAYE,GAAG,GAAGG,EAAE,EAAEhiC,GAAG,CAAC,mBAAmBoiC,GAAG,oBAAoBF,GAAG,eAAeI,GAAG,UAAUE,GAAG,UAAUE,GAAG,QAAQE,GAAG,iBAAiBE,GAAG,oBAAoBG,GAAG,oBAAoBG,EAAE,EAAE78B,GAAG,CAAC,oBAAoB+8B,GAAG,cAAcE,GAAG,kBAAkBE,GAAG,iBAAiBE,EAAE,EAAE18B,GAAG,CAAC,aAAa48B,GAAG,YAAYE,GAAG,uBAAuBE,EAAE,EAAMj/B,GAAE,CAAC,EAAEuF,GAAGvF,GAAE,CAAC,aAAa,IAAIk/B,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,IAAIF,GAAG,KAAK,CAAC,cAAc,CAAC,OAAO,KAAK,YAAY,SAAS,CAAC,OAAO,WAAWh5B,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE25B,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,aAAa,CAAC,CAAC,CAAC,OAAO,QAAQ,CAAC,OAAOA,GAAG,UAAU,OAAOA,GAAG,SAAS,IAAIA,IAAIA,GAAG,QAAQ,CAAC,OAAO,SAASj5B,EAAE,CAACi5B,GAAG,OAAO,EAAE,aAAaj5B,EAAE,SAAS,EAAE,CAACA,EAAEA,EAAE,UAAU,CAAC,CAAC,EAAE,SAASk5B,GAAG95B,EAAE,CAACyX,EAAEzX,EAAE,WAAW,KAAK,IAAI,6EAA6E,EAAEyX,EAAE,OAAOzX,EAAE,WAAW,SAAS,IAAI,sDAAsD,OAAOA,EAAE,SAAS,EAAEyX,EAAEzX,EAAE,UAAU,OAAO,EAAE,IAAI,mFAAmF,EAAE65B,GAAG,SAAS75B,CAAC,CAAC,CAAC,IAAI7X,GAAG,cAAcyxC,EAAE,CAAC,SAASh5B,EAAEV,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,MAAMG,EAAE,MAAMwB,CAAC,EAAE,KAAK,iBAAiBjB,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIkB,EAAE,EAAE,IAAIC,IAAI,CAAC,KAAKA,EAAE,KAAK,OAAOF,EAAEE,EAAE,IAAI,CAAC,EAAE,EAAE,KAAK,eAAeD,CAAC,CAAC,MAAM,KAAK,eAAeD,CAAC,EAAE,OAAO7Q,GAAG6Q,CAAC,EAAE3B,EAAEG,GAAGA,EAAE,QAAQ,EAAE,KAAK,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,KAAK,WAAW,CAAC,qBAAqB,CAAC,KAAK,YAAY,KAAK,WAAW,CAAC,CAAC,iBAAiBO,EAAEV,EAAE,CAAC,OAAOtB,GAAGgC,EAAEV,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,aAAa,MAAMlP,GAAG,KAAK,WAAW,CAAC,CAAC,MAAM,gBAAgB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,GAAG,CAAC,KAAK,OAAO,OAAOmJ,GAAG,KAAK,YAAY,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,yDAAyD,CAAC,CAAC,MAAM,WAAWyG,EAAE,CAAC,MAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG,CAAC,CAAC,MAAM,kBAAkBA,EAAE,CAAC,OAAO,KAAK,aAAa,MAAMA,EAAE,CAAC,EAAE,OAAO,KAAK,GAAG,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO,eAAezY,GAAG,OAAO,YAAY,CAAC,MAAM6X,GAAGA,EAAE,UAAU,MAAMA,EAAE,kBAAkB,MAAMA,EAAE,gBAAgB,IAAI,CAAC,EAAE,IAAI/f,GAAG,cAAckI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaU,EAAE,KAAK,IAAIV,EAAE,KAAK,QAAQ,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,GAAG,OAAO,KAAK,QAAQ0e,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,UAAU,CAAC,eAAehe,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,CAAC,EAAE0B,EAAE,GAAG,KAAK,iBAAiBzB,CAAC,GAAG,OAAO,KAAK,iBAAiBA,CAAC,EAAE,CAAC,aAAa,GAAGD,eAAe,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,CAAC,GAAG,OAAO,KAAK,mBAAmBA,CAAC,EAAE,CAAC,aAAa,GAAGD,cAAc,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,CAAC,EAAE,OAAOO,EAAER,CAAC,EAAE,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB3B,CAAC,EAAE,SAAS4B,EAAE,KAAK,mBAAmB5B,CAAC,EAAE,SAAS3C,EAAE,IAAI,CAAC,IAAIgF,EAAExV,EAAE4J,EAAEkL,EAAE,KAAK,GAAG,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEY,EAAE7L,EAAE5F,GAAGkL,GAAGlP,EAAE+U,EAAE,KAAK,OAAO,CAAC,EAAE7F,GAAGlP,EAAE8U,EAAE,KAAK,OAAO,CAAC,CAAC,EAAED,CAAC,EAAEa,EAAE1V,EAAE4J,EAAEmL,EAAE,KAAK,GAAG,EAAEnL,EAAEuF,GAAGsG,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAEX,EAAE,OAAOU,CAAC,EAAET,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAE3V,EAAE4J,EAAE6L,EAAE,CAAC,KAAK,YAAY,EAAEd,CAAC,EAAEA,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,oBAAoB,OAAO7R,GAAG,KAAK,iBAAiB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE5P,GAAG,KAAK,mBAAmB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,iBAAiB,GAAG,KAAK,kBAAkB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,iBAAiBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,IAAI,KAAK,IAAI,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,IAAIA,EAAE,OAAO,CAAC,CAAC,EAAMhgB,GAAG,cAAciI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,aAAaU,EAAE,KAAK,wBAAwBV,EAAE,KAAK,iBAAiB,CAAC,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,SAAS,CAAC,eAAeU,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,CAAC,EAAE,KAAK,iBAAiBC,CAAC,GAAG,OAAO,KAAK,iBAAiBA,CAAC,EAAE,CAAC,aAAa,GAAGD,gBAAgB,SAAS1C,EAAE,IAAIrL,GAAGwP,EAAE,MAAM,KAAK,uBAAuB,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQlB,CAAC,EAAEA,EAAEP,CAAC,EAAE,OAAOO,EAAER,CAAC,EAAE,GAAG0B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,iBAAiB1B,CAAC,EAAE,SAAS3C,EAAE,IAAI,CAAC,IAAIsE,EAAE9U,EAAE6U,EAAE1F,GAAGyF,CAAC,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAE,IAAIC,EAAE/U,EAAE4J,EAAE5F,GAAG4Q,EAAE1F,GAAGlP,EAAE8U,EAAE4c,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,KAAK,YAAY,EAAE/c,CAAC,EAAEA,EAAE,OAAOI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,MAAMjR,GAAG,KAAK,iBAAiB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,GAAG,KAAK,iBAAiBU,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASV,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,wBAAwB,KAAK,uBAAuB,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,uBAAuB,CAAC,CAAC,EAAM/f,GAAG,cAAcgI,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAEG,EAAE,KAAK,CAAC,MAAM,EAAE,KAAK,aAAaO,EAAE,KAAK,MAAMV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQG,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE3C,EAAE,IAAI,CAAC,KAAK,SAASvD,GAAG+F,CAAC,EAAE,SAAS,EAAE,KAAK,SAAS/F,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEkG,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,MAAM,CAAC,eAAehe,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQU,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAElD,EAAE,IAAI,CAAC,IAAI,EAAEd,GAAG,EAAE,KAAK,QAAQ,EAAEyD,EAAEzD,GAAG,EAAE,KAAK,QAAQ,EAAEsD,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIC,EAAE6c,EAAE,oBAAoB/c,CAAC,EAAEG,EAAE,GAAG,KAAK,uBAAuBF,CAAC,GAAG,OAAO,KAAK,uBAAuBA,CAAC,EAAE,CAAC,aAAa,GAAGD,MAAM,SAASnE,EAAE,IAAI8B,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,wBAAwBF,CAAC,GAAG,OAAO,KAAK,wBAAwBA,CAAC,EAAE,CAAC,aAAa,GAAGD,MAAM,SAASnE,EAAE,IAAI8B,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,CAAC,EAAE,OAAOlB,EAAEiB,CAAC,EAAE,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,CAAC,EAAE,SAAS,EAAE,KAAK,wBAAwBA,CAAC,EAAE,SAASc,EAAE1V,EAAE4J,EAAE4L,EAAE,KAAK,KAAK,EAAE5L,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE+L,EAAE3V,EAAE4J,EAAE,EAAE,KAAK,KAAK,EAAEA,EAAEuF,GAAG,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEyG,EAAE5R,GAAG0R,EAAE,CAAC,EAAEoB,EAAE9S,GAAG2R,EAAExC,CAAC,EAAEqC,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOC,CAAC,EAAE,IAAIoB,EAAE/W,EAAE4J,EAAE5F,GAAG4R,EAAE5V,EAAEkP,GAAG4H,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK,YAAY,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOnN,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,EAAE,KAAK,SAAS,OAAOA,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,SAAS,QAAQ,EAAE,KAAK,wBAAwB,MAAM9F,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,yBAAyB,MAAM5P,GAAG,KAAK,wBAAwB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,uBAAuB,EAAE,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAElD,EAAE,IAAI,CAAC,KAAK,SAAS,OAAO1F,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,EAAE,KAAK,SAAS,OAAOA,GAAG,KAAK,MAAM,KAAK,YAAY,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIkI,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,wBAAwBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,OAAO,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,OAAO,CAAC,CAAC,EAAM9f,GAAG,cAAc+H,EAAE,CAAC,YAAYyY,EAAEV,EAAE,EAAEG,EAAE,KAAKwB,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMV,EAAE,KAAK,MAAM,EAAE,KAAK,QAAQG,EAAE,KAAK,MAAMwB,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,2BAA2B,CAAC,EAAEnE,EAAE,IAAI,CAAC,KAAK,UAAUvD,GAAG,CAAC,EAAE,SAAS,EAAE,KAAK,SAASA,GAAG+F,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEG,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,EAAE,CAAC,WAAW,WAAW,CAAC,MAAM,QAAQ,CAAC,eAAehe,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQU,CAAC,EAAEA,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAElD,EAAE,IAAI,CAAC,IAAI,EAAEd,GAAG,EAAE,KAAK,QAAQ,EAAEyD,EAAEnP,GAAG,CAAC,KAAK,aAAahE,EAAE4J,EAAE,KAAK,UAAU,KAAK,KAAK,EAAE,CAAC,CAAC,EAAEoJ,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIC,EAAE6c,EAAE,oBAAoB/c,CAAC,EAAEG,EAAE,GAAG,KAAK,uBAAuBF,CAAC,GAAG,OAAO,KAAK,uBAAuBA,CAAC,EAAE,CAAC,aAAa,GAAGD,MAAM,SAASrC,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,KAAK,2BAA2BF,CAAC,GAAG,OAAO,KAAK,2BAA2BA,CAAC,EAAE,CAAC,aAAa,GAAGD,MAAM,SAASrC,GAAGuC,CAAC,EAAE,SAASC,CAAC,CAAC,GAAG,IAAI,EAAE,MAAM,QAAQpB,CAAC,EAAEA,EAAEkB,CAAC,EAAE,OAAOlB,EAAEiB,CAAC,EAAE,GAAG,GAAG,KAAK,OAAO,IAAIa,EAAE,KAAK,uBAAuBZ,CAAC,EAAE,SAAS,EAAE,KAAK,2BAA2BA,CAAC,EAAE,SAASc,EAAE1V,EAAE4J,EAAE4L,EAAE,KAAK,KAAK,EAAE5L,EAAE,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE+L,EAAE/L,EAAE,EAAE,KAAK,KAAK,EAAEgM,EAAE/V,GAAG,CAAC,EAAEiX,EAAE/N,GAAG4M,EAAEC,CAAC,EAAEJ,EAAE,OAAOE,CAAC,EAAE,EAAE,OAAOoB,CAAC,EAAE,IAAIC,EAAE/W,EAAE4J,EAAE5F,GAAGmP,EAAE,CAAC,EAAEnP,GAAG0R,EAAE1V,EAAE8W,EAAE,KAAK,OAAO,CAAC,CAAC,EAAEjC,CAAC,EAAEA,EAAE,OAAOkC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,OAAO/W,EAAE,KAAK,UAAU,CAAC,CAAC,EAAE,KAAK,SAAS,OAAO4J,EAAE,KAAK,SAAS,KAAK,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,UAAU,QAAQ,EAAE,KAAK,wBAAwB,MAAM9F,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,4BAA4B,MAAM5P,GAAG,KAAK,2BAA2B,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,QAAQ,KAAK,QAAQ,MAAM,KAAK,KAAK,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,MAAMA,EAAE,QAAQA,EAAE,KAAK,CAAC,CAAC,EAAMjW,GAAG,cAAc9B,EAAE,CAAC,YAAYyY,EAAE,CAAC,MAAM,EAAE,KAAK,aAAaA,EAAE,KAAK,gBAAgBA,CAAC,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,KAAK,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE,MAAM,QAAQjB,CAAC,EAAEA,EAAEP,CAAC,EAAE,OAAOO,EAAER,CAAC,EAAE,GAAGyB,GAAG,KAAK,OAAO,IAAIC,EAAE8c,EAAE,oBAAoBxe,CAAC,EAAE1C,EAAE,IAAI,CAAC,IAAIqE,EAAE7U,EAAE4J,EAAE,KAAK,EAAE+K,CAAC,EAAEC,CAAC,EAAEA,EAAE,OAAOC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,gBAAgBnB,EAAE,CAAC,KAAK,aAAaA,EAAE,KAAK,GAAG,MAAM,KAAK,EAAE,QAAQ,EAAE,KAAK,EAAExM,GAAG+F,GAAG,CAACyG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,GAAGA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,+CAA+C,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,YAAY,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,YAAY,CAAC,CAAC,EAAM1Y,GAAG,cAAcyC,EAAE,CAAC,YAAY2W,EAAEV,EAAE,EAAE,GAAG,CAAC,MAAMU,CAAC,EAAE,KAAK,aAAaA,EAAE,KAAK,SAASV,EAAE,KAAK,YAAY,EAAE,KAAK,cAAc,CAAC,EAAE,KAAK,EAAE/F,GAAG,KAAK,QAAQ,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,UAAU,CAAC,eAAeyG,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,CAAC,EAAE,KAAK,cAAcC,CAAC,GAAG,OAAO,KAAK,cAAcA,CAAC,EAAE,CAAC,aAAa,GAAGD,aAAa,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAAS,EAAE,CAAC,CAAC,GAAG,IAAIC,EAAE,KAAK,cAAczB,CAAC,EAAE,SAAS0B,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,CAAC,EAAE,OAAOO,EAAER,CAAC,EAAE2B,GAAG,MAAMrE,EAAE,IAAI,CAAC,IAAIsE,EAAEC,EAAE/U,EAAE4J,EAAE,KAAK,EAAEgL,CAAC,EAAEC,CAAC,EAAE,KAAK,YAAYC,EAAE9U,EAAE4J,EAAE,KAAK,EAAE5J,EAAE6U,EAAEjL,EAAEmL,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEJ,CAAC,EAAEG,EAAE9U,EAAE4J,EAAE,KAAK,EAAEmL,CAAC,EAAEJ,CAAC,EAAEC,EAAE,OAAOG,CAAC,EAAEJ,EAAE,OAAOG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,EAAE,QAAQ,EAAE,KAAK,eAAe,MAAMhR,GAAG,KAAK,cAAc,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,KAAK,SAASA,CAAC,CAAC,MAAM,YAAY,CAAC,MAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAIA,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,GAAG,KAAK,cAAcU,EAAE,IAAI,IAAI,CAAC,aAAa,EAAE,KAAK,SAAS,EAAE,OAAO,SAASV,CAAC,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,SAASA,EAAE,WAAW,CAAC,CAAC,EAAMvX,GAAG,cAAcR,EAAE,CAAC,YAAYyY,EAAEV,EAAE,GAAG,EAAE,EAAEG,EAAE,KAAKwB,EAAE,GAAG,CAAC,GAAG,MAAM,EAAE,KAAK,aAAajB,EAAE,KAAK,MAAMV,EAAE,KAAK,SAAS,EAAE,KAAK,QAAQG,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,mBAAmB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,SAASwB,EAAExB,GAAG,OAAO,KAAK,QAAQue,EAAE,QAAQ,QAAQ,GAAGhe,GAAG,KAAK,MAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,WAAW,WAAW,CAAC,MAAM,SAAS,CAAC,eAAeA,EAAE,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIR,GAAGA,EAAE,IAAI,EAAE,OAAO,KAAKQ,CAAC,GAAG,QAAQ,CAACR,EAAEC,IAAI,CAAC,IAAIwB,EAAE+c,EAAE,oBAAoBxe,CAAC,EAAE0B,EAAE,GAAG,KAAK,uBAAuBzB,CAAC,GAAG,OAAO,KAAK,uBAAuBA,CAAC,EAAE,CAAC,aAAa,GAAGD,QAAQ,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,mBAAmBzB,CAAC,GAAG,OAAO,KAAK,mBAAmBA,CAAC,EAAE,CAAC,aAAa,GAAGD,aAAa,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,KAAK,qBAAqBzB,CAAC,GAAG,MAAM,KAAK,WAAW,KAAK,qBAAqBA,CAAC,EAAE,CAAC,aAAa,GAAGD,OAAO,SAAS1C,EAAE,IAAI8B,GAAGqC,CAAC,EAAE,SAASC,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAE,MAAM,QAAQnB,CAAC,EAAEA,EAAEP,CAAC,EAAE,OAAOO,EAAER,CAAC,EAAE,GAAG2B,GAAG,KAAK,OAAO,IAAIC,EAAE,KAAK,uBAAuB3B,CAAC,EAAE,SAAS4B,EAAE,KAAK,mBAAmB5B,CAAC,EAAE,SAAS3C,EAAE,IAAI,CAAC,IAAIgF,EAAExV,EAAE4J,EAAEkL,EAAE,KAAK,KAAK,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAE,GAAG,KAAK,SAAS,CAAC,IAAIY,EAAE,KAAK,qBAAqBtC,CAAC,EAAE,SAASuC,EAAE1V,EAAE4J,EAAE6L,EAAE,KAAK,KAAK,EAAE7L,EAAEiL,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEc,EAAE3R,GAAG4F,EAAEiL,EAAE,KAAK,YAAY,EAAE3F,GAAGQ,GAAG8F,EAAExV,EAAEmP,GAAGuG,CAAC,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEE,EAAE5V,EAAE4J,EAAEmL,EAAE,KAAK,QAAQ,EAAEY,CAAC,EAAEb,EAAE,OAAOU,CAAC,EAAEC,EAAE,OAAOC,CAAC,EAAEX,EAAE,OAAOa,CAAC,EAAE,IAAI,EAAElG,GAAGiF,EAAEiB,CAAC,EAAEjB,EAAE,OAAO,CAAC,CAAC,KAAK,CAAC,IAAIc,EAAEzV,EAAE4J,EAAEkL,EAAE,KAAK,KAAK,EAAElL,EAAEuF,GAAG0F,CAAC,EAAE,EAAE,KAAK,KAAK,CAAC,EAAEa,EAAE1V,EAAE4J,EAAEmL,EAAE,KAAK,QAAQ,EAAE/Q,GAAG4F,EAAEiL,EAAE,KAAK,YAAY,EAAE3F,GAAGlP,EAAEyV,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,EAAEX,EAAE,OAAOW,CAAC,EAAEV,EAAE,OAAOW,CAAC,EAAE,IAAIC,EAAEjG,GAAGiF,EAAEe,CAAC,EAAEf,EAAE,OAAOgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,oBAAoB,CAAC,CAAC,SAAS,CAAC,KAAK,wBAAwB,MAAM7R,GAAG,KAAK,uBAAuB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,sBAAsB,MAAM,KAAK,UAAU5P,GAAG,KAAK,qBAAqB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,oBAAoB,MAAM5P,GAAG,KAAK,mBAAmB,IAAI4P,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAIA,EAAE,CAAC,GAAG,KAAK,uBAAuB,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,UAAUA,EAAE,KAAK,GAAG,KAAK,oBAAoB,EAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAOA,EAAE,IAAIV,IAAI,CAAC,KAAKA,EAAE,aAAa,OAAOA,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAE,CAACA,EAAE,MAAM,KAAK,kBAAkBA,CAAC,EAAE,IAAIV,EAAE,KAAK,SAASU,EAAE,OAAO,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,uBAAuBA,EAAE,MAAM,EAAEV,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,mBAAmBO,EAAE,MAAMV,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK,WAAW,KAAK,qBAAqBO,EAAE,MAAMV,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIG,IAAI,CAAC,aAAaA,EAAE,KAAK,SAASA,EAAE,OAAO,SAAS,CAAC,CAAC,EAAE,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,aAAa,KAAK,aAAa,MAAM,KAAK,MAAM,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,SAAS,KAAK,QAAQ,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,EAAE,aAAaA,EAAE,MAAMA,EAAE,SAASA,EAAE,QAAQA,EAAE,QAAQ,CAAC,CAAC,EAAM65B,GAAG,CAAC95C,GAAGC,GAAGC,GAAGC,GAAGoH,GAAGmB,GAAGsB,EAAE,EAAE,SAAS+vC,IAAI,CAAC,QAAQh6B,KAAK+5B,GAAGD,GAAG95B,CAAC,CAAC,CAAC,IAAIjM,GAAG,CAAC,EAAEkM,GAAGlM,GAAG,CAAC,aAAa,IAAIkmC,GAAG,mBAAmB,IAAIC,GAAG,wBAAwB,IAAI3Z,GAAG,UAAU,IAAI+C,GAAG,cAAc,IAAIrD,GAAG,cAAc,IAAIF,GAAG,WAAW,IAAIoa,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAI/Y,GAAG,yBAAyB,IAAIV,GAAG,6BAA6B,IAAID,GAAG,6BAA6B,IAAIE,GAAG,gBAAgB,IAAIQ,GAAG,eAAe,IAAIP,GAAG,KAAK,IAAIwZ,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIlX,GAAG,YAAY,IAAImX,GAAG,UAAU,IAAIhX,GAAG,mBAAmB,IAAIpC,GAAG,mBAAmB,IAAID,GAAG,YAAY,IAAImC,GAAG,qBAAqB,IAAImX,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,QAAQC,GAAG,QAAQC,GAAG,eAAe,SAASC,GAAG96B,EAAE,CAAC,OAAO,IAAI,QAAQ,GAAG,WAAW,CAAC,CAAC,EAAE,KAAKA,CAAC,CAAC,CAAC,IAAI+6B,GAAG,KAAK,CAAC,YAAYn6B,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,QAAQ,YAAY,EAAE,MAAM,IAAI,MAAM,qFAAqF,EAAEgP,EAAE,WAAWm6B,GAAG,UAAU,IAAIn6B,EAAEA,EAAE,MAAMm6B,GAAG,WAAW,MAAM,IAAIn6B,GAAG,MAAMA,EAAE,SAAS,KAAKA,EAAE+5B,IAAI,KAAK,kBAAkB/5B,EAAEg6B,GAAG,KAAK,mBAAmBh6B,EAAEi6B,EAAE,CAAC,MAAM,KAAKj6B,EAAE,CAAC,GAAG,OAAO,UAAU,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIV,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAACU,EAAE,UAAU,EAAE,CAAC,KAAK,0BAA0B,CAAC,CAAC,EAAE,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,uFAAuF,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,kBAAkB,EAAE,QAAQA,EAAE,WAAW,CAAC,EAAEP,EAAEogB,GAAG7f,EAAE,CAAC,EAAEiB,EAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAUxB,CAAC,CAAC,EAAE,CAAC,KAAK,kBAAkB,CAAC,CAAC,EAAEyB,EAAE,KAAK,iBAAiB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,gBAAgB,GAAGA,EAAE,SAAS,KAAK,kBAAkBA,EAAE,KAAKD,EAAE,MAAMi5B,GAAG,IAAIh5B,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,EAAElB,EAAE,YAAY,KAAK,CAAC,IAAImB,EAAE,KAAK,kBAAkB,KAAK,SAAS,cAAc,GAAG,EAAE,KAAK,iBAAiBA,EAAE,SAAS,KAAK,mBAAmBA,EAAE,KAAK7B,EAAE,MAAM46B,GAAG,IAAI/4B,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,mBAAmB6e,GAAGhgB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEm6B,GAAG,WAAW,eAAe,IAAIC,GAAG,KAAK,CAAC,YAAYp6B,EAAE,CAAC,GAAGA,GAAG,MAAMA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wEAAwEA,GAAG,EAAE,KAAK,SAASA,EAAE,CAAC,EAAE,KAAK,aAAaA,EAAE,MAAM,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,IAAI,QAAQ,CAACA,EAAEV,IAAI,CAAC,IAAI,EAAE,IAAI,WAAW,EAAE,OAAOG,GAAG,CAAC,IAAIwB,EAAE,KAAK,MAAMxB,EAAE,OAAO,MAAM,EAAEyB,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC5B,EAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG2B,EAAE,iBAAiB,KAAK,CAAC3B,EAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC,EAAE,MAAM,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,CAACU,EAAE,CAAC,cAAckB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAE2e,GAAG9e,EAAEI,GAAG,KAAK,YAAYA,CAAC,CAAC,EAAErB,EAAEoB,CAAC,CAAC,EAAE,EAAE,QAAQ3B,GAAGH,EAAE,sEAAsE,KAAK,SAAS,2EAA2E,EAAE,EAAE,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,YAAYU,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ4B,KAAKlB,EAAEV,EAAE,KAAK,GAAG4B,EAAE,OAAO,EAAE,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,IAAIzB,EAAE,KAAK,4BAA4BO,CAAC,EAAEiB,EAAE,EAAE,IAAIC,GAAG,KAAK,gBAAgBA,EAAEzB,EAAEyB,CAAC,CAAC,CAAC,EAAE,OAAO,QAAQ,IAAID,CAAC,EAAE,KAAKC,GAAG,CAAC5B,EAAEqgB,GAAGze,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBlB,EAAEV,EAAE,CAAC,OAAO,IAAI,QAAQ,CAAC,EAAEG,IAAI,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOC,GAAG,CAAC,IAAIC,EAAED,EAAE,OAAO,OAAO,EAAEC,CAAC,CAAC,EAAEF,EAAE,QAAQC,GAAGzB,EAAE,6CAA6CO,KAAK,EAAEiB,EAAE,kBAAkB3B,CAAC,CAAC,CAAC,CAAC,CAAC,4BAA4BU,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,IAAI2B,GAAG2e,GAAG3e,EAAE,IAAI,CAAC,EAAExB,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAEiB,EAAE,MAAM,QAAQC,GAAG,CAAC,IAAIC,EAAEye,GAAG1e,CAAC,EAAE,GAAG5B,EAAE,QAAQ6B,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,uDAAuDA,IAAI,EAAE,GAAG7B,EAAE,KAAK6B,CAAC,EAAE,EAAE,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,8BAA8BA,qBAAqB,EAAE1B,EAAEyB,CAAC,EAAE,KAAK,aAAa,EAAE,QAAQC,CAAC,CAAC,CAAC,CAAC,EAAE,GAAG7B,EAAE,SAAS,KAAK,aAAa,OAAO,MAAM,IAAI,MAAM,wDAAwDA,EAAE,oDAAoD,KAAK,aAAa,UAAU,EAAE,OAAOG,CAAC,CAAC,EAAE46B,GAAGj7B,GAAGpO,EAAE,EAAE,QAAQ,YAAY,GAAG,CAAC,MAAM,QAAQoO,CAAC,GAAGA,EAAE,WAAW+6B,GAAG,UAAU,EAAEG,GAAGl7B,EAAE,MAAM+6B,GAAG,WAAW,MAAM,CAAC,EAAE,KAAK9Z,GAAG,mBAAmBga,EAAE,EAAE,SAASC,GAAGl7B,EAAE,QAAQ,CAAC,OAAO,IAAI+6B,GAAG/6B,CAAC,CAAC,CAAC,SAASi6B,GAAGj6B,EAAE,CAAC,OAAO,IAAIg7B,GAAGh7B,CAAC,CAAC,CAAC,SAASm7B,GAAGn7B,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAEJ,CAAC,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAEE,EAAEA,GAAG,KAAK,EAAEA,EAAE2B,EAAE7B,EAAEE,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE2B,IAAIA,EAAE,KAAKC,GAAG,CAAC,IAAIS,EAAExC,GAAG,EAAEG,EAAEL,EAAE,QAAQI,EAAEF,GAAG,OAAO,EAAEwC,CAAC,EAAET,CAAC,CAAC,EAAED,GAAG,SAAS,EAAEA,EAAE,CAACyV,EAAEzV,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,EAAE,IAAI,qCAAqC,CAAC,CAAC,SAASD,EAAEC,EAAEC,EAAE,CAACwV,EAAEzV,GAAG,GAAGA,GAAG,EAAE,IAAI,oEAAoEA,GAAG,EAAEyV,EAAExV,GAAG,GAAGA,GAAG,EAAE,IAAI,kEAAkEA,GAAG,EAAEwV,EAAExV,GAAGD,EAAE,IAAI,yEAAyEA,qBAAqBC,GAAG,CAAC,CAAC,OAAO,QAAQ,IAAIjC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,eAAeo7B,GAAGp7B,EAAE,EAAE,CAAC,GAAG,OAAO,EAAE,CAAC,GAAG,IAAIE,EAAE,EAAE,WAAW,KAAKtO,EAAE,EAAE,SAAS,MAAM,EAAE,UAAUwO,EAAEJ,EAAE,IAAI2C,GAAGzC,EAAEyC,EAAE,EAAE,YAAY,CAAC,SAAS,EAAE,CAAC,CAAC,EAAEtC,EAAE,EAAE,EAAE,GAAG0B,GAAG,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAI3B,CAAC,EAAE,MAAM+6B,GAAG/6B,EAAE,EAAE,WAAWC,EAAE,CAAC,GAAG,IAAIsC,GAAGA,EAAE,YAAY,CAAC,EAAEX,EAAE,GAAG,EAAE,EAAE,OAAO,EAAE,YAAY,KAAK,MAAM,QAAQ,IAAID,CAAC,EAAE,MAAMo5B,GAAGp5B,EAAE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,eAAeu4B,GAAGv6B,EAAE,EAAE,GAAGE,EAAEE,EAAE,CAAC,OAAOo6B,GAAG14B,GAAGs5B,GAAGt5B,EAAE,CAAC,YAAY1B,CAAC,CAAC,CAAC,EAAEJ,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASs6B,GAAGx6B,EAAE,CAAC,MAAO,OAAM,EAAEE,EAAE,GAAGE,IAAI,CAAC,IAAIC,EAAE,EAAE,IAAI,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,EAAED,GAAG,KAAKA,EAAE,IAAI,IAAI,EAAE,EAAE,CAAC,EAAE2B,EAAE,CAAC,EAAE,GAAG,EAAE,QAAQ,CAACc,EAAEC,IAAI,CAAC,IAAIkB,EAAE,EAAEnB,EAAE,QAAQ,QAAQ,GAAG,CAAC,IAAIyE,EAAE,iBAAiB,EAAE,EAAE,aAAa,MAAM,EAAE,MAAM,EAAEuY,GAAGvY,CAAC,EAAEuQ,GAAG,EAAE,KAAK,EAAEpT,EAAE,IAAI,CAACpE,EAAEyC,CAAC,EAAE,GAAG,EAAEA,CAAC,GAAG,OAAO,EAAEA,CAAC,EAAE,CAAC,GAAG,EAAEA,CAAC,EAAE,KAAK,CAAC,cAAc,EAAE,YAAYkB,EAAE,UAAU,CAAC,CAAC,CAAC,EAAE5D,GAAG,KAAKA,EAAE,QAAQ,CAACsE,EAAEC,IAAI,CAACD,IAAI,EAAE,OAAOD,EAAE,EAAE,EAAEE,CAAC,EAAE,GAAG,CAAC,EAAEF,EAAE,EAAE1C,EAAE,KAAK,EAAE,IAAI,EAAEiC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,MAAMnB,GAAGA,CAAC,EAAE,CAAC,IAAIA,EAAEzC,EAAE,OAAO,CAAC0C,EAAEkB,IAAI,CAAC,EAAEA,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,kDAAkDnB,EAAE,KAAK,IAAI;AAAA,wCAC10pBd,EAAE,KAAK,IAAI,IAAI,CAAC,CAAC,IAAIC,EAAE3B,EAAE,OAAO,CAACwC,EAAEC,EAAEkB,KAAKlB,GAAGD,EAAE,KAAKmB,CAAC,EAAEnB,GAAG,CAAC,CAAC,EAAEZ,EAAE,CAAC,EAAED,EAAE,QAAQa,GAAG,CAAC,EAAEA,CAAC,EAAE,MAAM,QAAQC,GAAG,CAAC,IAAIkB,EAAE9D,GAAGA,EAAE,SAAS,GAAG,EAAE,GAAG,KAAK4C,EAAEb,EAAE,KAAK+B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAItB,EAAE,MAAM1C,EAAEiC,CAAC,EAAEU,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAOZ,EAAE,QAAQa,GAAG,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAE,MAAM,OAAOmB,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE5B,EAAE4B,IAAIV,GAAGtB,EAAEE,EAAE8B,CAAC,EAAE,WAAW,IAAI,EAAE,IAAI,YAAYV,CAAC,EAAEsD,EAAE,IAAI,WAAW,CAAC,EAAE,EAAE,EAAE,QAAQ5C,EAAE,EAAEA,EAAE5B,EAAE4B,IAAI,CAAC,IAAIC,EAAE,IAAI,WAAWjC,EAAEE,EAAE8B,CAAC,CAAC,EAAE4C,EAAE,IAAI3C,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAU,CAAC,EAAE9B,CAAC,EAAE,QAAQ6B,GAAG,CAAC,IAAIC,EAAE,EAAE,MAAMD,EAAE,YAAYA,EAAE,YAAYA,EAAE,SAAS,EAAEE,EAAEqb,GAAGtb,EAAE,CAACD,EAAE,aAAa,CAAC,EAAE,QAAQG,KAAKD,EAAEjC,EAAEkC,CAAC,EAAED,EAAEC,CAAC,CAAC,CAAC,EAAEjC,GAAGE,CAAC,CAAC,EAAEH,CAAC,CAAC,CAAC,IAAI04B,GAAG,2BAA2BC,GAAG,mBAAmBC,GAAG,KAAK,CAAC,YAAY36B,EAAEV,EAAE,CAAC,GAAG,KAAK,eAAe,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,iBAAiBA,EAAE,iBAAiB,KAAK,WAAWA,EAAE,WAAW,KAAK,mBAAmBA,EAAE,mBAAmBA,EAAE,WAAW,MAAMuX,EAAE,OAAOvX,EAAE,WAAW,WAAW,IAAI,6HAA6H,EAAE,KAAK,MAAMA,EAAE,WAAW,KAAK,MAAMtO,EAAE,EAAE,SAAS,MAAM6lB,EAAE7W,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,yDAAyD,EAAE,MAAM,QAAQA,CAAC,GAAG6W,EAAE7W,EAAE,SAAS,EAAE,IAAI,iEAAiEA,EAAE,UAAU,EAAE,KAAK,KAAKA,EAAEV,EAAE,aAAa,MAAMA,EAAE,YAAY,MAAM,KAAK,MAAM,IAAI,MAAM,oEAAoE,EAAE,KAAK,YAAYA,EAAE,aAAa,CAAC,CAAC,CAAC,MAAM,KAAKU,EAAE,CAAC,GAAGA,EAAE,yBAAyB,YAAY,MAAM,IAAI,MAAM,yFAAyF,EAAE,IAAIV,EAAE,OAAO,OAAO,CAAC,OAAO,KAAK,cAAc,EAAE,KAAK,WAAW,EAAEA,EAAE,KAAK,IAAI,SAAS,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,qBAAqB,EAAE,QAAQU,EAAE,WAAW,CAAC,EAAEP,EAAEogB,GAAG7f,EAAE,CAAC,EAAEV,EAAE,KAAK,OAAO,aAAa,IAAI,KAAK,CAAC,KAAK,UAAUG,CAAC,CAAC,EAAE,CAAC,KAAKi7B,EAAE,CAAC,EAAE,YAAY,EAAE16B,EAAE,YAAY,MAAMV,EAAE,KAAK,OAAO,oBAAoB,IAAI,KAAK,CAACU,EAAE,UAAU,EAAE,CAAC,KAAKy6B,EAAE,CAAC,EAAE,mBAAmB,EAAE,IAAIx5B,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK3B,CAAC,EAAE,GAAG2B,EAAE,GAAG,MAAM,CAAC,mBAAmB+e,GAAGhgB,CAAC,EAAE,UAAU,CAACiB,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,gEAAgEA,EAAE,SAAS,CAAC,CAAC,MAAM,MAAM,CAAC,IAAIjB,EAAE,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,WAAW,EAAE,GAAG,CAACA,EAAE,GAAG,MAAM,IAAI,MAAM,cAAc,KAAK,gCAAgCA,EAAE,+EAA+E,EAAE,IAAIV,EAAE,GAAG,CAACA,EAAE,MAAMU,EAAE,KAAK,CAAC,OAAOiB,EAAN,CAAS,IAAIC,EAAE,+CAA+C,KAAK,QAAQ,MAAM,KAAK,KAAK,SAAS,KAAK,EAAEA,GAAG,+UAA+UA,GAAG,uEAAuE,IAAI,MAAMA,CAAC,CAAC,CAAC,IAAI,EAAE5B,EAAE,cAAcG,EAAEH,EAAE,gBAAgB,GAAG,GAAG,MAAMG,GAAG,KAAK,MAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D,EAAE,OAAOsgB,GAAGzgB,EAAE2B,GAAG,KAAK,YAAYA,CAAC,CAAC,CAAC,CAAC,MAAM,YAAYjB,EAAE,CAAC,IAAIV,EAAE,MAAM,QAAQ,KAAK,IAAI,EAAE,KAAK,KAAK,CAAC,EAAE,KAAK,KAAK,CAAC,EAAEG,CAAC,EAAEm7B,GAAGt7B,CAAC,EAAE2B,EAAE,KAAK,kBAAkB,EAAEC,EAAE+e,GAAGjgB,CAAC,EAAEmB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQU,KAAK9B,EAAE,QAAQ,KAAK8B,EAAE,MAAM,KAAK,oBAAoB,KAAKV,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAED,EAAE,KAAKF,EAAE,EAAExB,CAAC,EAAE,KAAK,oBAAoB0B,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAIC,CAAC,CAAC,EAAE,IAAI,EAAE,MAAMo5B,GAAGr5B,EAAE,CAAC,YAAY,KAAK,YAAY,UAAU,KAAK,MAAM,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAACD,EAAEye,GAAG,CAAC,CAAC,CAAC,CAAC,EAAEgb,GAAG,iBAAiB,eAAe,SAASC,GAAGx7B,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY,GAAG,EAAEE,EAAEF,EAAE,YAAY,GAAG,EAAEI,EAAEJ,EAAE,UAAU,EAAE,CAAC,EAAEK,EAAEH,EAAE,EAAEF,EAAE,UAAUE,CAAC,EAAE,GAAG,MAAM,CAACE,EAAE,IAAIC,CAAC,CAAC,CAAC,SAASi6B,GAAGt6B,EAAE,CAAC,OAAOA,EAAE,MAAMu7B,GAAG,gBAAgB,GAAG,IAAI,CAAC,IAAIE,GAAG,CAACz7B,EAAE,IAAI,CAAC,GAAG,OAAO,OAAO,cAAc,GAAG,MAAM,EAAE,WAAW,MAAM,OAAO,KAAK,CAAC,IAAIE,EAAE,GAAG,GAAG,MAAM,QAAQF,CAAC,EAAEE,EAAEF,EAAE,MAAMI,GAAGk6B,GAAGl6B,CAAC,CAAC,EAAEF,EAAEo6B,GAAGt6B,CAAC,EAAEE,EAAE,OAAOm6B,GAAGr6B,EAAE,CAAC,CAAC,CAAC,OAAO,IAAI,EAAEihB,GAAG,mBAAmBwa,EAAE,EAAExa,GAAG,mBAAmBwa,EAAE,EAAE,SAASpB,GAAGr6B,EAAE,EAAE,CAAC,OAAO,IAAIu7B,GAAGv7B,EAAE,CAAC,CAAC,CAAC,SAASk6B,GAAGl6B,EAAE,EAAE,CAAC,OAAOq6B,GAAGr6B,EAAE,CAAC,CAAC,CAAC,IAAI07B,GAAG,KAAK,CAAC,YAAY96B,EAAE,CAAC,KAAK,eAAeA,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,cAAc,CAAC,EAAE+6B,GAAG,KAAK,CAAC,YAAY/6B,EAAE,CAAC,KAAK,YAAYA,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,CAAC,CAAC,EAAEg7B,GAAG,KAAK,CAAC,YAAYh7B,EAAE,CAACA,EAAE,OAAO,KAAK,KAAK,IAAI,QAAQ,QAAQA,EAAE,KAAK,CAAC,GAAGA,EAAE,OAAO,KAAK,KAAKV,GAAG,QAAQ,QAAQU,EAAE,KAAKV,CAAC,CAAC,EAAE,CAAC,EAAE,SAASi6B,GAAGn6B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,UAAU,OAAO,IAAIu7B,GAAGxB,GAAG,GAAG/5B,CAAC,CAAC,CAAC,CAAC,SAAS+5B,GAAGp6B,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,UAAU,SAAS,EAAEJ,EAAE,eAAe,MAAMA,EAAE,aAAa,KAAK,IAAI07B,GAAG17B,CAAC,GAAG,QAAQ,KAAK,uNAAuN,EAAE,IAAI07B,GAAG,CAAC,cAAc17B,CAAC,CAAC,IAAI,QAAQ,KAAK,uNAAuN,EAAE,IAAI07B,GAAG,CAAC,cAAc17B,EAAE,YAAY,EAAE,WAAWE,EAAE,eAAeE,CAAC,CAAC,EAAE,CAAC,SAASq6B,GAAGz6B,EAAE,CAAC,OAAO,IAAI27B,GAAG37B,CAAC,CAAC,CAAC,SAAS06B,GAAG16B,EAAE,CAAC,OAAO,IAAI27B,GAAG37B,CAAC,CAAC,CAAC,IAAIpK,GAAG,CAAC,EAAEqK,GAAGrK,GAAG,CAAC,gBAAgB,IAAIimC,EAAE,CAAC,EAAE,SAASC,GAAG97B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEqf,EAAEzf,EAAE,SAAS,iBAAiB,EAAEK,EAAEof,EAAE,EAAE,cAAc,iBAAiB,EAAEhI,EAAEvX,GAAG,MAAMA,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,+DAA+DA,GAAG,EAAEuX,EAAErX,EAAE,OAAO,EAAE,IAAI,gDAAgDA,EAAE,MAAM,EAAEqX,EAAEpX,EAAE,OAAO,EAAE,IAAI,qDAAqDA,EAAE,MAAM,EAAEoX,EAAErX,EAAE,MAAM,CAAC,IAAIC,EAAE,MAAM,CAAC,EAAE,IAAI,uCAAuCD,EAAE,MAAM,CAAC,SAASC,EAAE,MAAM,CAAC,oEAAoE,EAAEoX,EAAEvX,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,4DAA4DA,GAAG,EAAE,IAAI,EAAE7I,GAAGtI,GAAEqR,EAAE,OAAO,EAAEF,CAAC,EAAE,EAAE7I,GAAGtI,GAAEsR,EAAE,OAAO,EAAEH,CAAC,EAAE6B,EAAEhE,GAAG,CAAC,EAAEiE,EAAErM,GAAGoM,EAAE,CAAC,EAAE,OAAOhT,GAAEiT,EAAE,OAAO,CAAC,CAAC,IAAI65B,GAAGrkC,EAAE,CAAC,iBAAiBskC,EAAE,CAAC,EAAMltC,GAAG,CAAC,EAAEqR,GAAGrR,GAAG,CAAC,WAAW,IAAImtC,GAAG,gBAAgB,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,SAASC,GAAGn8B,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,gEAAgE,EAAE,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIE,EAAE,GAAGE,EAAE,GAAGC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG0B,EAAE,GAAG,GAAG/B,EAAE,gBAAgB,WAAWE,EAAE,WAAW,OAAO,WAAW,aAAaF,aAAa,UAAUI,EAAE,WAAW,OAAO,kBAAkB,aAAaJ,aAAa,iBAAiBK,EAAE,WAAW,OAAO,kBAAkB,aAAaL,aAAa,iBAAiB,EAAE,WAAWA,EAAE,YAAY,KAAK,EAAE,WAAW,OAAO,aAAa,aAAaA,aAAa,YAAY+B,EAAE,OAAQ,OAAM,IAAI,MAAM,qPAAqP/B,EAAE,YAAY,MAAM,EAAE,GAAG/M,GAAGzO,GAAGo6B,EAAE,WAAW,GAAG,KAAK,CAAC,IAAI9b,EAAE,CAAC,OAAO9C,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAE,OAAO4e,EAAE,UAAUp6B,GAAGse,EAAE,CAAC,CAAC,CAAC,GAAG,CAAC,EAAEJ,CAAC,EAAErC,EAAE,CAACL,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAE,EAAE,GAAG,EAAE,EAAEA,EAAE,WAAW,IAAI,EAAE,aAAa,EAAE,EAAE,EAAE0C,CAAC,EAAE,aAAatC,GAAGF,EAAE,EAAEF,EAAE,aAAa,GAAGK,GAAG0B,EAAE,CAAC,GAAGm6B,IAAI,KAAK,GAAG,OAAO,UAAU,YAAY,GAAG,OAAO,iBAAiB,aAAa,OAAO,mCAAmC,YAAYA,GAAG,IAAI,gBAAgB,EAAE,CAAC,EAAE,WAAW,IAAI,MAAO,OAAM,IAAI,MAAM,sGAAsG,OAAOA,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmB,EAAE,CAAC,EAAEA,GAAG,OAAO,MAAM,EAAEA,GAAG,OAAO,OAAOx5B,EAAEw5B,GAAG,UAAUl8B,EAAE,EAAE,EAAE,EAAE0C,CAAC,EAAE,EAAEw5B,GAAG,aAAa,EAAE,EAAE,EAAEx5B,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,WAAW,CAAC,MAAM,CAAC,IAAIE,EAAE,EAAEJ,EAAEE,EAAE,IAAI,WAAWE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,QAAQmB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAErB,EAAE,EAAE,EAAEqB,CAAC,EAAE,EAAE,EAAE,EAAEA,CAAC,CAAC,CAAC,OAAO7G,GAAGwF,EAAE,CAACF,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS05B,GAAGp8B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,gBAAgB,UAAU,CAAC,SAASq8B,IAAI,CAAC,OAAO,OAAO,QAAQ,aAAa,OAAO,aAAa,aAAa,OAAO,eAAe,mBAAmB,CAAC,CAAC,SAASC,GAAGt8B,EAAE,CAAC,OAAOA,GAAG,MAAMA,EAAE,QAAQ,GAAGA,EAAE,SAAS,CAAC,CAAC,SAASu8B,GAAGv8B,EAAE,CAAC,OAAOq8B,GAAG,GAAG,EAAEr8B,aAAa,cAAcs8B,GAAGt8B,CAAC,GAAG,CAACo8B,GAAGp8B,CAAC,CAAC,CAAC,eAAeg8B,GAAGh8B,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,GAAGtO,EAAE,EAAE,QAAQ,qBAAqB,GAAG2qC,GAAGv8B,CAAC,EAAE,CAAC,IAAII,EAAE,GAAG,CAACA,EAAE,MAAM,kBAAkBJ,EAAE,CAAC,iBAAiB,MAAM,CAAC,CAAC,OAAOK,EAAN,CAASD,EAAE,IAAI,CAACA,GAAG,MAAMA,EAAE,QAAQJ,EAAE,OAAOI,EAAE,SAASJ,EAAE,OAAOE,EAAEE,EAAEF,EAAEF,CAAC,MAAME,EAAEF,EAAE,OAAOm8B,GAAGj8B,EAAE,CAAC,CAAC,CAAC,eAAe+7B,GAAGj8B,EAAE,EAAE,CAAC,IAAIE,EAAEuf,EAAEzf,EAAE,MAAM,UAAU,EAAE,GAAG,EAAEA,aAAa9T,IAAI,CAAC,IAAI+V,EAAE/B,EAAEA,EAAEnR,GAAEkT,EAAE,OAAO,EAAEA,EAAE,QAAQ,CAAC,CAAC,GAAG/B,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wDAAwDA,EAAE,OAAO,EAAE,GAAG,CAACE,EAAEC,CAAC,EAAEH,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAG,EAAE,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,0DAA0D,GAAG,EAAE,GAAGA,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,kCAAkCA,EAAE,6CAA6C,EAAE,IAAI,EAAE,MAAMA,EAAE,KAAK,EAAE6B,EAAE7B,EAAE,QAAQ,UAAU,IAAI,EAAE8B,EAAE,IAAI,kBAAkB3B,EAAED,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE7B,EAAEC,EAAE,EAAE4B,EAAE,CAAC,IAAIS,EAAE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAE,EAAEZ,EAAE,EAAEW,CAAC,EAAE,GAAG1C,EAAE,QAAQ,WAAW,GAAG2C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,mFAAmFA,IAAI,UAAU3C,EAAE,QAAQ,UAAU2C,EAAE,GAAGA,EAAE,KAAK,MAAM,IAAI,MAAM,mFAAmFA,IAAI,EAAE,IAAI,GAAGH,EAAE,CAAC,EAAEG,EAAEd,EAAEW,EAAE,CAAC,EAAEG,EAAEd,EAAEW,EAAE,CAAC,EAAEG,EAAEd,GAAGW,EAAEE,CAAC,EAAEC,EAAEd,CAAC,CAAC,IAAIY,EAAEV,EAAE,EAAED,EAAEW,EAAE,CAAC,EAAE,KAAK,MAAMD,EAAE,CAAC,CAAC,EAAEV,EAAEW,EAAE,CAAC,EAAE,KAAK,MAAMD,EAAE,CAAC,CAAC,EAAEV,EAAEW,EAAE,CAAC,EAAE,KAAK,MAAMD,EAAE,CAAC,CAAC,EAAEV,EAAEW,EAAE,CAAC,EAAE,KAAK,MAAMD,EAAE,CAAC,CAAC,CAAC,CAAC,GAAG,GAAG,KAAK,CAAC,EAAE,MAAMrC,EAAE,EAAE,OAAOD,EAAE,IAAI6B,EAAE,EAAE,WAAW,IAAI,EAAES,EAAE,IAAI,UAAUV,EAAE3B,EAAED,CAAC,EAAE6B,EAAE,aAAaS,EAAE,EAAE,CAAC,CAAC,CAAC,OAAOxC,IAAIF,GAAGE,EAAE,QAAQ,EAAE8B,CAAC,CAAC,IAAI+5B,GAAGvkC,EAAE,CAAC,YAAY2kC,EAAE,CAAC,EAAMrpC,GAAG,CAAC,EAAEmN,GAAGnN,GAAG,CAAC,mBAAmB,IAAI0pC,EAAE,CAAC,EAAE,SAASA,GAAGx8B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,OAAOI,EAAE,EAAE,MAAM,OAAO,GAAGF,EAAE,EAAE,MAAM,IAAI,MAAM,4EAA4EA,IAAI,EAAE,GAAGE,EAAE,EAAE,MAAM,IAAI,MAAM,8EAA8EA,IAAI,EAAE,GAAG,EAAE,QAAQ,QAAQ,MAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ,EAAE,GAAG,EAAE,MAAMA,EAAE,CAAC,EAAEF,EAAE,MAAM,IAAI,MAAM,iEAAiE,EAAE,MAAME,EAAE,CAAC,SAASF,GAAG,EAAE,GAAG2X,GAAG7X,EAAE,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mEAAmEA,EAAE,QAAQ,EAAE,IAAIK,EAAE,EAAE,MAAM,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,EAAE,QAAQsC,EAAE,EAAEA,EAAEtC,EAAE,OAAO,EAAE,EAAEsC,EAAE,GAAGtC,EAAEsC,CAAC,EAAE,IAAIZ,EAAE/B,EAAE,MAAMgC,EAAE3B,EAAE,MAAM,EAAE2B,EAAE,IAAI,EAAE,IAAIC,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAEzC,EAAE,EAAEyC,EAAEV,GAAGF,EAAEY,CAAC,EAAEX,EAAE,KAAKD,EAAEY,CAAC,CAAC,EAAE,IAAID,EAAE,CAAC,GAAG2W,GAAGrZ,EAAE,KAAK,EAAE,IAAI2C,GAAGA,EAAEV,CAAC,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACD,EAAE,EAAEC,EAAES,CAAC,CAAC,CAAC,IAAI9G,GAAG,CAAC,EAAEqE,GAAGrE,GAAG,CAAC,kBAAkB,IAAI6gC,GAAG,kBAAkB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,eAAe,IAAIC,GAAG,sBAAsB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,GAAGC,GAAG,GAAG,SAASf,GAAGz8B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,OAAOyX,EAAErX,IAAI,EAAE,OAAO,IAAI,iBAAiBA,uBAAuB,uCAAuCA,KAAK,EAAEqX,EAAErX,IAAIF,EAAE,OAAO,IAAI,iBAAiBE,sBAAsBF,uCAAuCE,KAAK,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAEoX,EAAE,EAAEpX,CAAC,EAAEH,EAAEG,CAAC,GAAGL,EAAE,MAAMK,CAAC,EAAE,IAAI,iBAAiBD,aAAaC,aAAaA,OAAO,EAAEA,CAAC,EAAEH,EAAEG,CAAC,iCAAiCA,OAAOL,EAAE,MAAMK,CAAC,IAAI,CAAC,CAAC,SAASy8B,GAAG98B,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEE,EAAE,EAAE,KAAKF,EAAE,GAAGA,EAAE,GAAG,EAAE,KAAKE,CAAC,EAAEF,GAAG,EAAEE,IAAI,OAAO,CAAC,CAAC,SAASy8B,GAAG38B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAEC,CAAC,EAAE,KAAK,MAAM,EAAEA,CAAC,EAAEL,EAAEK,CAAC,GAAGH,EAAEG,CAAC,CAAC,EAAE,OAAOD,CAAC,CAAC,SAASk9B,GAAGt9B,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAAC,GAAGL,CAAC,EAAE,QAAQ,EAAEK,EAAE,OAAO,EAAED,EAAE,OAAO,IAAIC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAI,IAAI,EAAEG,EAAE,CAAC,EAAE,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAEA,EAAE,IAAI,GAAG,OAAOA,CAAC,CAAC,SAASo9B,GAAGz9B,EAAE,EAAEE,EAAE,CAAC,OAAOA,GAAGF,EAAEE,EAAEA,GAAG,EAAE,EAAE,CAAC,SAASw9B,GAAG19B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAEI,IAAIF,EAAE,KAAK,EAAEE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS08B,GAAG58B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEjC,EAAE,OAAO0C,EAAE,IAAI,MAAMT,CAAC,EAAEU,EAAE,IAAI,MAAMV,CAAC,EAAEW,EAAE,IAAI,MAAMX,CAAC,EAAE,GAAG,EAAE,QAAQ/B,EAAE,EAAE,CAAC,IAAI2C,EAAE,EAAE,CAAC,EAAEC,EAAE5C,EAAE,EAAEwC,EAAEw6B,GAAG,EAAEr6B,EAAEC,EAAE1C,EAAEJ,CAAC,EAAE2C,EAAEy6B,GAAGr7B,EAAEc,EAAEC,EAAEzC,EAAEL,CAAC,EAAE4C,EAAE06B,GAAG,EAAEz6B,EAAEC,EAAE9C,CAAC,CAAC,KAAM,SAAQ6C,EAAE,EAAEA,EAAEZ,EAAEY,IAAIH,EAAEG,CAAC,EAAEo6B,GAAG,EAAE78B,EAAE,EAAEJ,EAAE6C,EAAEb,CAAC,EAAEW,EAAEE,CAAC,EAAEs6B,GAAGp7B,EAAE1B,EAAE,EAAEL,EAAE6C,EAAEb,CAAC,EAAEY,EAAEC,CAAC,EAAEw6B,GAAG,EAAEx6B,EAAEb,CAAC,EAAE,MAAM,CAAC,MAAMU,EAAE,IAAIC,EAAE,QAAQC,CAAC,CAAC,CAAC,SAASs6B,GAAGl9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAEq9B,GAAGx9B,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,CAAC,EAAE,MAAM,CAAC,IAAIC,EAAEy7B,GAAG,EAAEv9B,EAAE6B,CAAC,EAAEE,EAAE7B,EAAE4B,CAAC,EAAEhC,EAAE,GAAGgC,IAAIC,EAAE,GAAG,EAAEF,CAAC,EAAEE,CAAC,CAAC,OAAO,CAAC,CAAC,SAASm7B,GAAGp9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGA,CAAC,EAAE,EAAEq9B,GAAGx9B,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAG,EAAE,QAAQA,CAAC,EAAE,GAAG,EAAEA,CAAC,EAAE,OAAO,qBAAqB,CAAC,IAAIC,EAAEy7B,GAAG,EAAEv9B,EAAE6B,CAAC,EAAEE,EAAE7B,EAAE4B,CAAC,EAAEhC,EAAE,GAAGgC,IAAIC,EAAE,OAAO,kBAAkB,EAAEF,CAAC,EAAEE,CAAC,CAAC,QAAQF,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,CAAC,EAAE,EAAEA,CAAC,EAAE,IAAI,EAAEA,CAAC,GAAGC,GAAG,EAAED,CAAC,EAAEqV,GAAG,EAAE,EAAErV,CAAC,EAAE1B,EAAE0B,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASs7B,GAAGr9B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOE,EAAE,GAAG,GAAGE,GAAG,QAAQA,EAAE,GAAGA,CAAC,CAAC,SAAS68B,GAAGj9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,CAAC,EAAE0B,EAAE7B,EAAEG,CAAC,GAAG,GAAGL,EAAE,GAAGK,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,GAAG2B,GAAG,EAAEoV,GAAG,EAAE,EAAEpV,EAAE,CAAC,EAAE,CAAC,CAAC,SAASm7B,GAAGn9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAEA,CAAC,EAAE0B,EAAE7B,EAAEG,CAAC,GAAG,GAAGL,EAAE,GAAGK,GAAG,EAAE,GAAGA,GAAG,GAAG,QAAQ0B,EAAE,EAAE,EAAE,OAAO,iBAAiB,EAAE,OAAO,kBAAkB,IAAIC,EAAE5B,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,GAAG2B,GAAGD,EAAE,EAAE,EAAEqV,GAAG,EAAE,EAAEpV,CAAC,EAAE,EAAEoV,GAAG,GAAG,EAAEpV,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS66B,GAAG78B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAI,GAAGH,EAAEG,CAAC,EAAE,EAAE,CAACD,EAAEC,EAAE,KAAK,CAAC,QAAQA,EAAED,EAAE,EAAEC,EAAEH,EAAE,OAAOG,IAAI,GAAG,EAAEA,CAAC,EAAE,GAAGH,EAAEG,CAAC,IAAIL,EAAEK,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASq8B,GAAG18B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,IAAIF,GAAGF,EAAEI,CAAC,EAAE,EAAEA,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS68B,GAAG/8B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAEL,EAAE,MAAM,OAAO,OAAO,GAAG,SAASI,EAAE,CAAC,EAAE,GAAG,IAAI,MAAMC,EAAE,CAAC,EAAE,KAAK,CAAC,CAAC,EAAE,EAAE,OAAOA,EAAED,EAAE,EAAE,OAAO,IAAI,MAAMC,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAED,EAAE,EAAE,MAAM,EAAEA,EAAE,QAAQ,GAAG,CAACqX,EAAE,IAAI,GAAG,IAAI,mDAAmD,CAAC,CAAC,EAAE,IAAI,EAAE,OAAOvX,GAAG,KAAK,EAAE,IAAI,MAAMG,CAAC,EAAE,KAAK,EAAE,EAAE,OAAOH,GAAG,SAAS,EAAE,CAACA,EAAE,GAAG,IAAI,MAAMG,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAEH,EAAE,OAAOG,EAAE,EAAEH,EAAE,OAAO,IAAI,MAAMG,EAAEH,EAAE,MAAM,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,EAAE,IAAI,CAAC,EAAE6B,IAAI,GAAG,EAAE,GAAG0V,EAAE,IAAI,GAAG,IAAI,qDAAqD,mCAAmC1V,IAAI,EAAE/B,EAAE,MAAM+B,CAAC,EAAE3B,EAAE2B,CAAC,EAAE,EAAE,CAAC3B,EAAE,CAAC,CAAC,CAAC,SAAS48B,GAAGh9B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,GAAG7B,GAAG,MAAM6B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE7B,EAAE,GAAG,MAAM,EAAE,EAAE,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAIsC,EAAE,GAAGC,EAAE,CAAC,KAAKV,EAAE,OAAO,wBAAwB,EAAE,MAAM,EAAE,MAAM,EAAE,IAAI/B,EAAE,MAAM,EAAE,QAAQ+B,EAAE,MAAM,EAAE,UAAU5B,EAAE,QAAQ,EAAE,aAAa,EAAE,YAAY0B,EAAE,eAAeC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAE9B,EAAE,KAAK8B,IAAI/B,GAAG,GAAG+B,EAAE1C,GAAGY,EAAE,0BAA0B,GAAG8B,EAAE,IAAI/B,EAAE,IAAIA,IAAIC,EAAE,cAAc,GAAGA,EAAE,KAAKA,EAAE,QAAQ,IAAIC,EAAE,CAAC,KAAK5C,EAAE,OAAO,UAAU,EAAE,QAAQ,EAAE,WAAW,GAAG,SAAS,EAAE,EAAE29B,GAAGh7B,EAAEC,CAAC,EAAE,IAAIC,EAAE,GAAGC,EAAE,GAAGkB,EAAE,GAAG,EAAE,CAAC,EAAEsD,EAAE,CAAC,EAAE,QAAQ7C,EAAE,EAAEA,EAAEzE,EAAE,OAAO,EAAEyE,EAAE,CAAC,GAAG7B,EAAE,QAAQ6B,CAAC,IAAI,EAAE,MAAM,MAAM,WAAWA,qBAAqB,EAAE,IAAIC,EAAE,CAAC,EAAE9B,EAAE,eAAe,GAAG6B,GAAGE,EAAE3E,EAAEyE,CAAC,EAAE,GAAGE,IAAI,GAAG,CAAC,EAAE,KAAKD,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,IAAIE,EAAE,CAAChC,EAAE,UAAU,GAAG6B,EAAE7B,EAAE,QAAQ,GAAG6B,CAAC,EAAEI,EAAE,CAACjC,EAAE,QAAQ6B,CAAC,EAAE,EAAE,EAAE,GAAG7B,EAAE,QAAQ6B,CAAC,EAAE,EAAEE,EAAEA,EAAE,CAAC,EAAE,GAAGD,GAAG9B,EAAE,QAAQ6B,CAAC,GAAG,EAAE,MAAM,MAAM,8CAA8C,EAAET,EAAEA,GAAGpB,EAAE,QAAQ6B,CAAC,IAAI,EAAE,IAAIM,EAAE,CAAC,EAAEnC,EAAE,UAAU,GAAG6B,GAAG7B,EAAE,QAAQ,GAAG6B,GAAG,GAAG7B,EAAE,YAAYA,EAAE,SAAS,CAAC,GAAG8B,EAAE,CAAC,IAAIQ,EAAEtC,EAAE,MAAM6B,CAAC,EAAE,EAAEE,EAAE/B,EAAE,MAAM6B,CAAC,EAAE7B,EAAE,MAAM6B,CAAC,EAAE,GAAG7B,EAAE,MAAM6B,CAAC,EAAES,EAAEtC,EAAE,IAAI6B,CAAC,EAAE7B,EAAE,MAAM6B,CAAC,EAAE,EAAES,EAAE,GAAGA,GAAGP,EAAE,MAAM,MAAM,eAAe/B,EAAE,MAAM6B,CAAC,kBAAkBA,kBAAkB,CAAC,MAAM7B,EAAE,MAAM6B,CAAC,EAAEm5B,GAAGh7B,EAAE,MAAM6B,CAAC,EAAE,EAAE7B,EAAE,QAAQ6B,CAAC,EAAEE,EAAEC,EAAEC,CAAC,EAAEjC,EAAE,IAAI6B,CAAC,EAAEm5B,GAAGh7B,EAAE,IAAI6B,CAAC,EAAE,EAAE7B,EAAE,QAAQ6B,CAAC,EAAEE,EAAEC,EAAEC,CAAC,EAAE,IAAII,EAAErC,EAAE,QAAQ6B,CAAC,IAAI,GAAG7B,EAAE,MAAM6B,CAAC,IAAI,GAAG7B,EAAE,IAAI6B,CAAC,IAAIE,EAAE9B,EAAEA,GAAGoC,EAAEnC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,CAAC,IAAI,GAAGQ,EAAE,MAAMpC,EAAEA,GAAGD,EAAE,QAAQ6B,CAAC,IAAI,GAAGM,EAAEjC,EAAEA,IAAI2B,IAAI,GAAG7B,EAAE,QAAQ6B,CAAC,IAAI,GAAGM,GAAG,IAAIwC,EAAEvC,EAAE,GAAG,GAAGpC,EAAE,YAAYA,EAAE,UAAU2E,EAAE3E,EAAE,IAAI6B,CAAC,EAAE7B,EAAE,MAAM6B,CAAC,EAAEO,EAAE,IAAIN,GAAG6C,EAAE,EAAEvC,EAAE,IAAID,GAAGJ,GAAG,IAAI/B,EAAE,QAAQ6B,CAAC,EAAE,EAAE8C,EAAE,CAAC5C,EAAE4C,EAAE5C,EAAEK,EAAE,IAAIA,EAAE,CAAC,IAAIC,EAAEsC,IAAI,GAAGA,EAAE,GAAG3E,EAAE,QAAQ6B,CAAC,EAAE,EAAEQ,EAAE,EAAEA,EAAE,KAAK,MAAMsC,EAAE3E,EAAE,QAAQ6B,CAAC,CAAC,GAAG8C,EAAE3E,EAAE,QAAQ6B,CAAC,IAAI,EAAE,EAAE,GAAG,EAAE,KAAKQ,CAAC,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,QAAQR,EAAE,EAAEA,EAAE7B,EAAE,wBAAwB,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE,wBAAwB6B,CAAC,EAAEC,GAAG,EAAE4C,EAAE,KAAK,EAAE5C,CAAC,CAAC,EAAEA,IAAI64B,IAAIj2B,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,iBAAiBA,EAAE,OAAO,CAAC7C,EAAEC,IAAI9B,EAAE,wBAAwB8B,CAAC,IAAI64B,EAAE,EAAE,WAAWj2B,EAAE,WAAWzE,EAAE,UAAUC,EAAE,cAAckB,EAAE,MAAMpB,EAAE,MAAM,IAAIA,EAAE,IAAI,QAAQA,EAAE,OAAO,CAAC,CAAC,SAAS+6B,GAAG39B,EAAE,EAAE,CAAC,EAAE,UAAU,EAAE,EAAE,QAAQ,EAAE,EAAE,eAAe,EAAE,IAAIE,EAAE,EAAE,EAAE,WAAWF,EAAE,OAAO,KAAK,EAAE,SAASA,EAAE,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,IAAI,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,QAAQ,IAAI,MAAM,EAAE,IAAI,EAAE,EAAE,wBAAwB,CAAC,EAAE,EAAE,8BAA8B,CAAC,EAAE,EAAE,8BAA8B,IAAI,MAAM,EAAE,IAAI,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,KAAKI,IAAI,GAAG,GAAGA,EAAEJ,EAAE,aAAa,CAAC,IAAIK,EAAE,KAAK,IAAI,EAAE,MAAML,EAAE,KAAKI,GAAG,EAAEJ,EAAE,wBAAwB,EAAE,IAAI,EAAE,KAAKE,EAAEG,EAAEH,IAAI,EAAE,MAAMA,CAAC,EAAE,EAAE,EAAE,IAAIA,CAAC,EAAE,EAAE,EAAE,QAAQA,CAAC,EAAE,EAAE,EAAE,WAAW,GAAGA,EAAE,EAAE,SAAS,GAAGA,EAAE,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,8BAA8BA,CAAC,EAAEE,CAAC,SAAS,GAAGA,EAAEJ,EAAE,YAAY,EAAE,wBAAwB,KAAKu9B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,MAAM,CAAC,GAAGr9B,IAAI,EAAE,MAAM,OAAO,MAAM,MAAM,sCAAsCA,qBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS,EAAEF,EAAE,OAAO,OAAO,EAAE,MAAME,CAAC,EAAEF,EAAE,MAAMI,CAAC,GAAGJ,EAAE,KAAK,OAAO,EAAE,IAAIE,CAAC,EAAEF,EAAE,IAAII,CAAC,GAAG,EAAE,QAAQF,CAAC,EAAEF,EAAE,QAAQI,CAAC,EAAEJ,EAAE,UAAU,GAAGI,IAAI,EAAE,WAAW,GAAGF,GAAGF,EAAE,QAAQ,GAAGI,IAAI,EAAE,SAAS,GAAGF,GAAGF,EAAE,eAAe,GAAGI,GAAG,EAAE,wBAAwB,KAAKo9B,EAAE,EAAE,EAAE,8BAA8B,KAAK,EAAE,EAAE,EAAE,gBAAgB,GAAGt9B,IAAI,EAAE,wBAAwB,KAAKA,CAAC,EAAE,EAAE,8BAA8B,KAAKE,CAAC,GAAG,EAAE,8BAA8BF,CAAC,EAAEE,EAAEF,GAAG,CAAC,CAAC,SAAS09B,GAAG59B,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAGA,EAAE,CAAC,EAAE,OAAOH,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEF,EAAE,EAAEI,EAAEJ,EAAEA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIjB,GAAG,QAAY3W,GAAG,KAAK,CAAC,OAAO,IAAIwY,EAAE,CAAC,OAAO,IAAI3W,GAAG2W,CAAC,CAAC,CAAC,OAAO,SAASA,EAAEV,EAAE,EAAE,GAAG,CAAC,OAAO,IAAI1Y,GAAGoZ,EAAEV,EAAE,CAAC,CAAC,CAAC,OAAO,QAAQU,EAAEV,EAAE,GAAG,EAAE,EAAEG,EAAE,KAAKwB,EAAE,GAAG,CAAC,OAAO,IAAIlZ,GAAGiY,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,OAAO,KAAKjB,EAAE,KAAKV,EAAE,GAAG,EAAE,KAAKG,EAAE,KAAK,CAAC,OAAO,IAAIlgB,GAAGygB,EAAEV,EAAE,EAAEG,CAAC,CAAC,CAAC,OAAO,SAASO,EAAE,KAAKV,EAAE,IAAI,EAAE,KAAK,CAAC,OAAO,IAAIjgB,GAAG2gB,EAAEV,EAAE,CAAC,CAAC,CAAC,OAAO,OAAOU,EAAE,KAAKV,EAAE,GAAG,EAAE,KAAKG,EAAE,KAAKwB,EAAE,EAAE,CAAC,OAAO,IAAIzhB,GAAGwgB,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,OAAO,QAAQjB,EAAEV,EAAE,GAAG,CAAC,OAAO,IAAIhgB,GAAG0gB,EAAEV,CAAC,CAAC,CAAC,EAAMpC,GAAG1V,GAAOy1C,IAAI,IAAI,OAAO,uBAAuB,YAAY,sBAAsB,OAAO,cAAc,YAAY,aAAa79B,GAAGA,EAAE,GAAG,EAAE,SAAS9I,IAAI,CAAC,OAAO,IAAI,QAAQ8I,GAAG69B,GAAG,IAAI79B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIhS,EAAE,CAAC,EAAEiS,GAAGjS,EAAE,CAAC,OAAO,IAAI8vC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,MAAM,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAI9K,GAAG,2BAA2B,IAAI5K,GAAG,2BAA2B,IAAIe,GAAG,uBAAuB,IAAI4U,GAAG,mBAAmB,IAAIC,GAAG,qBAAqB,IAAIjV,GAAG,gBAAgB,IAAIgJ,GAAG,oBAAoB,IAAIkM,GAAG,0BAA0B,IAAIxY,GAAG,iBAAiB,IAAIuD,GAAG,kCAAkC,IAAIkV,GAAG,qBAAqB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,kBAAkB,IAAI3Z,GAAG,kBAAkB,IAAIK,GAAG,kBAAkB,IAAIK,GAAG,sBAAsB,IAAIZ,GAAG,yBAAyB,IAAI8Z,GAAG,0BAA0B,IAAIpV,GAAG,gBAAgB,IAAIqV,GAAG,kBAAkB,IAAI5Z,GAAG,kBAAkB,IAAIE,GAAG,wBAAwB,IAAIJ,GAAG,qBAAqB,IAAI+Z,GAAG,+BAA+B,IAAIhZ,GAAG,qBAAqB,IAAI2D,GAAG,SAAS,IAAIsV,GAAG,UAAU,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,mBAAmB,IAAIvV,GAAG,iBAAiB,IAAIf,GAAG,oBAAoB,IAAIuW,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,qBAAqB,IAAI/L,GAAG,qBAAqB,IAAID,GAAG,eAAe,IAAIiM,GAAG,iBAAiB,IAAIzV,GAAG,YAAY,IAAI0V,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAI3W,GAAG,YAAY,IAAI4W,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,aAAa,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,kDAAkD,IAAIC,GAAG,qDAAqD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,8CAA8C,IAAIC,GAAG,uDAAuD,IAAIC,GAAG,wDAAwD,IAAIC,GAAG,6DAA6D,IAAIC,GAAG,yDAAyD,IAAIC,GAAG,uBAAuB,IAAI7W,GAAG,sBAAsB,IAAI8W,GAAG,IAAI,IAAIlmB,GAAG,uBAAuB,IAAImmB,GAAG,mBAAmB,IAAIrE,GAAG,iBAAiB,IAAIsE,GAAG,aAAa,IAAIC,GAAG,WAAW,IAAIrN,GAAG,WAAW,IAAI93B,GAAG,uBAAuB,IAAIolC,GAAG,8BAA8B,IAAI/a,GAAG,kBAAkB,IAAIF,GAAG,WAAW,IAAIznB,GAAG,0BAA0B,IAAI2iC,GAAG,cAAc,IAAIxO,GAAG,oBAAoB,IAAIC,GAAG,KAAK,IAAIjY,EAAE,CAAC,EAAE,SAAS+jB,GAAGx+B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,CAAC,EAAE,OAAOA,EAAE,QAAQ,CAACK,EAAE,IAAI,CAACoX,EAAEpX,EAAE,SAASH,EAAE,IAAI,kBAAkBA,uBAAuB,gDAAgDA,IAAI,CAAC,CAAC,EAAEuX,EAAE,GAAG,GAAG,EAAEvX,EAAE,IAAI,kBAAkBA,kCAAkCA,EAAE,IAAI,EAAE,IAAIE,EAAEJ,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAACK,EAAE,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAEH,EAAE,IAAIuX,EAAE,IAAI,GAAGpX,EAAE,CAAC,IAAID,EAAE,CAAC,EAAE,IAAI,kBAAkBF,wBAAwB,OAAOG,4CAA4CD,sCAAsC,IAAI,CAAC,CAAC,CAAC,CAAC,SAAS2+B,GAAG/+B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIF,EAAE,CAAC,GAAGF,EAAEI,CAAC,EAAE,CAAC,EAAE,OAAOF,CAAC,CAAC,IAAIm+B,IAAI,SAASr+B,EAAE,CAACA,EAAEA,EAAE,eAAe,CAAC,EAAE,iBAAiBA,EAAEA,EAAE,aAAa,CAAC,EAAE,eAAeA,EAAEA,EAAE,YAAY,CAAC,EAAE,cAAcA,EAAEA,EAAE,WAAW,CAAC,EAAE,aAAaA,EAAEA,EAAE,WAAW,CAAC,EAAE,aAAaA,EAAEA,EAAE,WAAW,CAAC,EAAE,YAAY,GAAGq+B,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASM,GAAG3+B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAM,GAAGF,GAAG,MAAM,GAAG,KAAK,OAAOE,EAAE,GAAG,GAAG,KAAK,KAAKA,EAAE,OAAOJ,EAAEE,EAAE,QAAQE,EAAE,KAAK,EAAE,OAAOA,EAAE,EAAE,MAAM,EAAE,GAAGF,GAAG,KAAK,OAAOE,EAAE,GAAGJ,EAAEE,EAAE,SAASE,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,uCAAuCJ,EAAEE,EAAE,4BAA4BE,EAAE,QAAQ,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAI,EAAEH,EAAEG,CAAC,EAAE,EAAED,EAAEA,EAAE,OAAOF,EAAE,OAAOG,CAAC,EAAE0B,EAAE3B,EAAE,CAAC,EAAE,GAAG,GAAG,EAAE,GAAG2B,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,4BAA4B,sCAAsC1B,EAAEL,QAAQ,eAAeK,EAAEL,QAAQ+B,GAAG,OAAO3B,EAAE,CAAC,EAAE,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASy/B,GAAG7/B,EAAE,CAAC,IAAI,EAAE,CAAC,eAAeq+B,GAAG,eAAe,aAAaA,GAAG,aAAa,YAAYA,GAAG,YAAY,WAAWA,GAAG,WAAW,WAAWA,GAAG,WAAW,WAAWA,GAAG,UAAU,EAAEn+B,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,GAAGI,KAAK,EAAEF,EAAE,KAAK,EAAEE,CAAC,CAAC,MAAO,OAAM,OAAOF,CAAC,CAAC,SAASw/B,GAAG1/B,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,EAAEA,EAAE,CAAC,IAAIq+B,GAAG,eAAer+B,EAAE,OAAO,EAAEA,EAAE,MAAM,CAAC,SAASihC,GAAGjhC,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,GAAG,KAAK,OAAO,IAAIE,EAAEF,EAAE,OAAOI,EAAE,EAAE,OAAO,GAAGF,GAAGE,EAAE,MAAM,IAAI,MAAM,sBAAsBJ,wCAAwC,4CAA4CE,6DAA6DE,IAAI,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,IAAIH,EAAEE,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,CAAC,EAAE,EAAE,EAAEA,EAAE,CAAC,EAAE,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,sBAAsBL,+CAA+C,0CAA0CK,EAAEL,EAAE,aAAa,8CAA8CK,EAAEL,EAAE,aAAa,GAAG,CAAC,CAAC,CAAC,IAAIo+B,GAAG,GAAG,SAASU,GAAG9+B,EAAE,CAAC,OAAOA,GAAGo+B,GAAGp+B,EAAEoZ,GAAGpZ,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw/B,GAAGx/B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,GAAG,OAAOF,GAAG,SAASA,EAAEA,EAAE,CAAC,GAAGK,EAAE,GAAG,OAAOL,GAAG,SAASA,EAAEA,EAAE,CAAC,GAAG,MAAM,CAACI,EAAEC,CAAC,CAAC,CAAC,SAASs/B,GAAG3/B,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAE,GAAGD,EAAEC,EAAEA,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,EAAEA,EAAE,KAAKL,EAAE,CAAC,EAAEE,CAAC,EAAEG,EAAEA,EAAE,OAAOL,EAAE,MAAM,CAAC,CAAC,MAAM,CAACK,EAAEA,EAAE,OAAOL,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEK,EAAEA,EAAE,OAAO,CAACL,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAEK,EAAEA,EAAE,OAAOL,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOK,CAAC,CAAC,SAASo/B,GAAGz/B,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGF,EAAE,CAACE,EAAE,KAAK,CAAC,EAAE,QAAQC,EAAE,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAEA,GAAG,EAAE,GAAGD,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKC,GAAG,EAAE,EAAE,GAAGD,EAAE,KAAKC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,GAAG,EAAE,IAAI,EAAE,EAAE,KAAK,CAAC,EAAEK,EAAE,KAAK,CAAC,EAAED,EAAE,KAAK,GAAGC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,SAASw/B,GAAG5/B,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,CAAC,EAAED,EAAEC,EAAE,KAAKL,EAAE,CAAC,EAAEE,CAAC,EAAEG,EAAE,KAAKL,EAAE,CAAC,EAAEE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,GAAG,EAAE,OAAOI,EAAEC,EAAE,KAAK,EAAE,EAAE,CAAC,EAAEL,EAAE,CAAC,CAAC,EAAEK,EAAE,KAAKL,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEK,EAAE,KAAKL,EAAE,CAAC,CAAC,EAAE,OAAOK,CAAC,CAAC,SAASy/B,GAAG9/B,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKF,EAAEI,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS6/B,GAAG//B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAED,EAAE,KAAKJ,EAAEK,EAAE,CAAC,EAAE,EAAEA,CAAC,EAAE,CAAC,EAAE,EAAEA,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOD,CAAC,CAAC,IAAIm+B,GAAG,mBAAmBD,GAAG,mBAAuBH,GAAG,SAASL,GAAG,WAAWC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,YAAY,SAAS2C,GAAG7gC,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,gEAAgEA,EAAE,iBAAiB,EAAE,SAAS,EAAE,IAAIE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,GAAG,EAAEF,EAAEE,CAAC,EAAEJ,EAAEI,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS8gC,GAAGhhC,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAaF,EAAE,OAAO,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,GAAG,EAAE,EAAEA,EAAE,CAAC,EAAEJ,EAAEI,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAEJ,EAAEI,EAAE,CAAC,EAAE,MAAM,CAAC,KAAK,EAAE,KAAKF,CAAC,CAAC,CAAC,SAAS0+B,GAAG5+B,EAAE,CAAC,IAAI,EAAE,KAAK,KAAKA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,GAAG,EAAEH,EAAE,KAAK,MAAMG,EAAE,CAAC,CAAC,EAAEL,EAAEK,CAAC,EAAED,EAAE,KAAK,MAAMC,EAAE,CAAC,CAAC,EAAEL,EAAEK,EAAE,CAAC,EAAE,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASy+B,GAAG7+B,EAAE,CAAC,IAAI,EAAE,KAAK,MAAMA,EAAE,OAAO,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAEE,EAAE,IAAI,aAAa,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,GAAG,EAAEH,EAAE,KAAK,MAAMG,EAAE,CAAC,CAAC,EAAEL,EAAEK,CAAC,EAAED,EAAE,KAAK,MAAMC,EAAE,CAAC,CAAC,EAAEL,EAAEK,EAAE,CAAC,EAAE,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASi/B,GAAGr/B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,EAAE,CAAC,EAAEI,EAAEJ,EAAE,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,KAAKE,EAAE,KAAKE,CAAC,CAAC,CAAC,SAASq+B,GAAGz+B,EAAE,EAAEE,EAAEE,EAAE,CAACJ,EAAEI,EAAE,CAAC,EAAE,EAAEJ,EAAEI,EAAE,EAAE,CAAC,EAAEF,CAAC,CAAC,SAASg/B,GAAGl/B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAaF,EAAE,CAAC,EAAEI,EAAE,IAAI,aAAaJ,EAAE,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,KAAK,KAAKL,EAAE,CAAC,EAAEK,IAAI,CAAC,IAAI,GAAG,EAAE,EAAE,IAAI,KAAK,IAAIA,EAAEL,GAAGE,EAAEG,CAAC,EAAE,KAAK,IAAI,CAAC,EAAED,EAAEC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,MAAM,CAAC,KAAKH,EAAE,KAAKE,CAAC,CAAC,CAAC,SAAS6+B,GAAGj/B,EAAE,EAAEE,EAAE,CAAC,IAAIE,GAAGF,EAAE,EAAE,IAAI,KAAK,IAAIF,EAAE,GAAGK,EAAE,KAAK,IAAID,CAAC,EAAE,EAAE,KAAK,IAAIA,CAAC,EAAE,MAAM,CAAC,KAAKC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAI6gC,GAAG,KAAKC,GAAG,MAAMC,GAAG,IAAIC,GAAG,MAAM,SAASrC,GAAGh/B,EAAE,EAAE,CAACA,EAAEA,EAAE,QAAQ,MAAM,EAAE,EAAE,IAAIE,GAAGF,EAAE,OAAOA,EAAE,QAAQmhC,GAAG,EAAE,EAAE,QAAQD,GAAG,OAAO,GAAGhhC,EAAE,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,6CAA6CghC,OAAO,EAAE,GAAG,CAAC9gC,EAAEC,CAAC,EAAEL,EAAE,MAAMkhC,EAAE,EAAEzpB,EAAErX,EAAE,QAAQihC,EAAE,IAAI,GAAG,IAAI,2BAA2BA,4BAA4B,EAAE,IAAI,EAAEjhC,EAAE,MAAMghC,EAAE,EAAE,EAAE,EAAE,OAAO,GAAG,IAAI,EAAE,MAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,+DAA+D,EAAE,IAAIr/B,EAAE,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAEvC,EAAE,OAAO,EAAEuC,EAAE,CAAC,IAAIC,EAAExC,EAAEuC,CAAC,EAAE,GAAG,CAAC,EAAE,KAAKE,GAAGA,EAAE,QAAQD,CAAC,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,uCAAuCA,wCAAwC,EAAEd,EAAE,QAAQc,CAAC,IAAI,IAAId,EAAE,KAAKc,CAAC,CAAC,CAAC,QAAQD,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC,IAAIC,EAAEzC,EAAEwC,CAAC,EAAEb,EAAE,QAAQc,CAAC,IAAI,IAAIA,IAAIu+B,IAAIr/B,EAAE,KAAKc,CAAC,CAAC,CAAC,IAAIb,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,GAAG,IAAI,IAAI,EAAEA,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,EAAEA,CAAC,EAAE,OAAO,MAAM,IAAI,MAAM,2CAA2C,EAAEA,CAAC,gEAAgE,EAAEZ,EAAEY,CAAC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAED,CAAC,EAAE,OAAO,EAAEC,EAAEb,EAAEY,CAAC,EAAE,KAAKb,EAAE,QAAQ,EAAEa,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIZ,EAAEF,EAAE,OAAOW,EAAErC,EAAE,OAAOsC,EAAE,CAAC,EAAE,QAAQC,EAAEF,EAAEE,EAAEX,EAAE,EAAEW,EAAED,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,QAAQb,EAAE,WAAWY,EAAE,OAAOX,CAAC,CAAC,CAAC,SAASu9B,GAAGv/B,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,CAAC,EAAEE,EAAE,KAAK,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAEH,EAAE,EAAEG,CAAC,CAAC,EAAEA,EAAE,IAAID,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,EAAEK,EAAEH,EAAEG,CAAC,IAAI,IAAID,EAAE,KAAKC,CAAC,EAAE,OAAOH,EAAEA,EAAE,OAAOG,GAAGA,IAAI,EAAE,EAAE,CAAC,mBAAmBH,EAAE,WAAWE,CAAC,CAAC,CAAC,SAASs+B,GAAG1+B,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMJ,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAI,EAAEH,EAAEG,CAAC,EAAE,MAAM,QAAQ,EAAE,EAAE,EAAE,EAAEA,CAAC,EAAE,OAAO,EAAE,EAAED,EAAE,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAI,OAAOD,EAAE,EAAEC,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,EAAEoX,EAAErX,EAAE,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,IAAI,sBAAsBD,EAAE,EAAEC,CAAC,EAAE,CAAC,CAAC,aAAa,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,CAAC,GAAG,CAAC,CAAC,CAAC,SAASi/B,GAAGt/B,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEI,EAAE,CAAC,EAAEC,EAAE,EAAEL,EAAE,SAAS,GAAGE,EAAE,KAAK,EAAE,EAAEG,EAAEL,EAAE,OAAO,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,EAAE,EAAED,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEF,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI6B,EAAE7B,EAAE,CAAC,EAAE8B,EAAEs/B,GAAG,EAAEv/B,CAAC,EAAE,QAAQE,KAAKD,EAAE,EAAE,QAAQC,CAAC,IAAI,KAAK7B,EAAE,CAAC,EAAE,KAAK6B,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAE,CAAC,MAAM,CAAC,KAAK/B,EAAE,MAAME,CAAC,CAAC,CAAC,SAASwgC,GAAG5gC,EAAE,CAAC,OAAOA,EAAE,MAAM,CAAC,EAAEE,IAAI,IAAIA,CAAC,CAAC,CAAC,SAASohC,GAAGthC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,GAAGJ,EAAEI,CAAC,EAAE,SAAS,GAAGJ,EAAEI,CAAC,EAAE,QAAQ,CAAC,IAAI,IAAI,IAAI,KAAKF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAAS4gC,GAAG9gC,EAAE,EAAEE,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAG,OAAO,GAAG,SAASqX,EAAEzX,EAAE,MAAME,CAAC,EAAE,IAAI,EAAE,IAAI,+CAA+C,EAAEE,EAAE,IAAI,MAAM,CAAC,EAAE,KAAKJ,EAAE,MAAME,CAAC,EAAE,CAAC,MAAM,CAAC,IAAIG,EAAE,EAAE,OAAO,CAAC,EAAE0B,KAAKA,IAAI,KAAK,GAAG,GAAG,GAAG,CAAC,EAAE0V,EAAEpX,GAAG,EAAE,IAAI,yDAAyD,EAAE,IAAI,EAAE,EAAE,QAAQ,EAAE,EAAE,GAAG,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,OAAO,CAAC0B,EAAEC,IAAIA,EAAE,EAAED,EAAEC,EAAED,CAAC,EAAE,EAAE,CAAC,EAAE/B,EAAE,MAAME,CAAC,EAAE,CAAC,CAACuX,EAAEzX,EAAE,MAAME,CAAC,IAAI,EAAE,OAAO,CAAC,EAAE6B,IAAI,EAAEA,CAAC,EAAE,IAAI,6DAA6D,EAAE3B,EAAE,CAAC,CAAC,OAAOA,CAAC,CAAC,SAAS4/B,GAAGhgC,EAAE,CAAC,MAAM;AAAA,uBAC5l1BA,GAAG,CAAC,SAASigC,GAAGjgC,EAAE,EAAE,CAAC,MAAM,WAAWA,qBAAqB,OAAO,CAAC,SAASkgC,GAAGlgC,EAAE,EAAEE,EAAE,CAAC,MAAM,WAAWF,qBAAqB,QAAQE,GAAG,CAAC,SAASogC,GAAGtgC,EAAE,EAAE,CAAC,MAAM,iDAAiDA,SAAS,GAAG,CAAC,SAASugC,GAAGvgC,EAAE,EAAE,CAAC,MAAM,QAAQA,+BAA+B,GAAG,CAAC,SAASmgC,IAAI,CAAC,MAAM,+GAA+G,CAAC,SAASE,GAAGrgC,EAAE,EAAE,CAAC,IAAIE,EAAE2X,GAAG7X,CAAC,EAAEI,EAAEyX,GAAG,CAAC,EAAE,MAAM,2CAA2C3X;AAAA,iEAC/cE,iBAAiBJ,kBAAkB,GAAG,CAAC,SAASogC,GAAGpgC,EAAE,EAAE,CAAC,IAAIE,EAAE2X,GAAG7X,CAAC,EAAEI,EAAEyX,GAAG,CAAC,EAAE,MAAM,qCAAqC3X,+CAA+CE,iBAAiBJ,iBAAiB,GAAG,CAAC,SAASygC,IAAI,CAAC,MAAM,0BAA0B,CAAC,SAASC,IAAI,CAAC,MAAM,gCAAgC,CAAC,SAASC,GAAG3gC,EAAE,EAAE,CAAC,MAAM,cAAcA,sBAAsB,sDAAsD,CAAC,SAASwgC,GAAGxgC,EAAE,EAAEE,EAAE,CAAC,MAAM,gBAAgBF,SAAS,sBAAsBE,IAAI,CAAC,IAAI6gC,GAAG,CAAC,EAAE9gC,GAAG8gC,GAAG,CAAC,yBAAyB,IAAIQ,GAAG,gBAAgB,IAAIC,GAAG,8BAA8B,IAAIC,EAAE,CAAC,EAAE,SAASA,GAAGzhC,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGE,EAAE,IAAIJ,GAAGo+B,IAAIh+B,EAAEJ,EAAEE,EAAE,IAAIE,EAAEgZ,GAAGpZ,EAAE,KAAK,MAAM,KAAK,KAAKA,CAAC,CAAC,CAAC,EAAE,CAACE,GAAGE,EAAE,GAAGA,IAAIJ,EAAEE,EAAE,GAAGE,EAAEgZ,GAAGpZ,EAAEI,EAAE,CAAC,EAAE,OAAOA,CAAC,CAAC,SAASohC,GAAGxhC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAEL,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEK,EAAE,IAAI,IAAI,EAAED,EAAE,KAAKJ,EAAE,CAAC,CAAC,EAAEI,EAAE,KAAKF,CAAC,EAAE,OAAOE,CAAC,CAAC,SAASmhC,GAAGvhC,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,OAAO,EAAEL,EAAE,MAAM,OAAO,GAAGI,IAAI,IAAIA,EAAE,CAACC,GAAGD,EAAEC,GAAG,MAAM,IAAI,MAAM,sCAAsCA,MAAMA,eAAeD,GAAG,EAAE,GAAGA,EAAE,IAAIA,GAAGC,GAAGD,EAAE,EAAE,MAAM,IAAI,MAAM,cAAcA;AAAA,MACvkC,KAAK,EAAE,GAAGF,EAAEE,EAAE,MAAM,IAAI,MAAM,cAAcA,0CAA0CF,KAAK,EAAE,QAAQyC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,GAAG3C,EAAE,MAAM2C,CAAC,IAAI,EAAE,MAAMA,CAAC,EAAE,MAAM,IAAI,MAAM,WAAWA,OAAO3C,EAAE,MAAM2C,CAAC,sCAAsCA,OAAO,EAAE,MAAMA,CAAC,IAAI,EAAE,IAAI,EAAE3C,EAAE,MAAME,CAAC,EAAE6B,EAAE,CAAC,EAAEC,EAAE,EAAEC,EAAE,EAAES,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEZ,EAAE,KAAK/B,EAAE,MAAM2C,CAAC,CAAC,EAAEX,GAAGhC,EAAE,MAAM2C,CAAC,EAAE,QAAQA,EAAEvC,EAAEuC,EAAEzC,EAAEyC,IAAIZ,EAAE,KAAK/B,EAAE,MAAM2C,CAAC,CAAC,EAAEV,GAAGjC,EAAE,MAAM2C,CAAC,EAAE,QAAQA,EAAEvC,EAAEuC,EAAEtC,EAAEsC,IAAIZ,EAAE,KAAK,EAAE,MAAMY,CAAC,CAAC,EAAE,QAAQA,EAAEzC,EAAE,EAAEyC,EAAE,EAAEA,IAAIZ,EAAE,KAAK/B,EAAE,MAAM2C,CAAC,CAAC,EAAED,GAAG1C,EAAE,MAAM2C,CAAC,EAAE,MAAM,CAAC,UAAUX,EAAE,UAAUU,EAAE,UAAUT,EAAE,QAAQ,EAAE,YAAYF,CAAC,CAAC,CAAC,SAASq9B,GAAGp/B,EAAE,CAAC,GAAG,CAAC,OAAOA,EAAE,IAAI,GAAG+a,GAAG,CAAC,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,4DAA4D,GAAG,CAAC,CAAC,CAAC,SAASokB,GAAGn/B,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAGgb,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI3mB,GAAG,CAAC,EAAE4L,GAAG5L,GAAG,CAAC,wBAAwB,IAAIohC,GAAG,wBAAwB,IAAIE,GAAG,wBAAwB,IAAIC,GAAG,UAAU,IAAIzD,EAAE,CAAC,EAAE6H,GAAG,EAAE,IAAI0H,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACkgB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEvD,GAAG1N,GAAEmR,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMyhC,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACigB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE/D,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAEG,EAAEjE,GAAGQ,GAAGzC,GAAG,CAAC,EAAEiG,CAAC,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG8O,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMuhC,GAAG,CAAC,WAAW5hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACggB,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEhE,GAAGQ,GAAGP,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOhP,GAAG8O,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMyhC,GAAG,CAAC,WAAWxhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2f,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE/B,EAAEgC,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE7B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE/B,EAAEgC,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM0hC,GAAG,CAAC,WAAWxhD,GAAG,cAAc,GAAG,SAAS,CAAC0f,EAAE,IAAI,CAAC,IAAIE,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAACE,EAAEC,IAAI,CAACH,EAAEG,CAAC,EAAE,IAAIL,EAAE,MAAM,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAM6hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACuf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIV,GAAGU,CAAC,CAAC,CAAC,CAAC,EAAM8hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIV,GAAGU,CAAC,CAAC,CAAC,CAAC,EAAM+hC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACqf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE5D,GAAGQ,GAAGzC,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMgiC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACof,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEhE,GAAGlP,EAAEiN,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAOhP,GAAG8O,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+hC,GAAG,CAAC,WAAWrhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACkf,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7U,EAAEmP,GAAG6D,CAAC,EAAE7D,GAAG+D,CAAC,CAAC,EAAE4B,EAAElL,EAAEkJ,EAAE9O,GAAGkP,EAAE2B,CAAC,CAAC,EAAEE,EAAE8mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEnF,GAAGmF,EAAEC,CAAC,GAAGvI,EAAEsI,EAAE9B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE7U,EAAEmP,GAAG6D,CAAC,EAAE7D,GAAG+D,CAAC,CAAC,EAAE4B,EAAE/K,GAAGH,EAAEkJ,EAAE9O,GAAGgP,EAAE6B,CAAC,CAAC,CAAC,EAAEE,EAAE8mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO4B,EAAE,OAAO,IAAID,EAAEnF,GAAGmF,EAAEC,CAAC,GAAGvI,EAAEsI,EAAE5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMgiC,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACmf,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE9S,EAAEmP,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMmiC,GAAG,CAAC,WAAWthD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACif,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAEpD,GAAGzC,GAAG,CAAC,EAAEkC,GAAGtN,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASoiC,GAAGtiC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,KAAK,eAAe,EAAE+B,EAAE0d,EAAE,EAAE,QAAQ,eAAe,EAAEzd,EAAE,EAAEC,EAAEF,EAAEW,EAAE,GAAGX,EAAE,OAAO,IAAIW,EAAE,GAAGV,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEuI,EAAEvI,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAEikB,GAAG,gBAAgB7lB,EAAE,CAAC,EAAE,IAAIsC,EAAE,CAAC,GAAGX,EAAE,MAAMC,CAAC,EAAEW,EAAE,CAAC,WAAW1C,EAAE,QAAQE,EAAE,IAAIC,EAAE,gBAAgB,CAAC,EAAEwC,EAAE+b,EAAE,UAAU19B,GAAGyhB,EAAEC,CAAC,EAAE,OAAOF,EAAEhJ,EAAEmJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI0/B,GAAG/qC,EAAE,CAAC,eAAe8qC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC+e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,EAAE,gBAAgB0B,CAAC,EAAE7B,EAAE,MAAM,CAAC,EAAE,IAAIqiC,GAAGviC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS0gC,GAAGziC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEof,EAAEzf,EAAE,KAAK,aAAa,EAAE,EAAEyf,EAAE,EAAE,QAAQ,aAAa,EAAEhI,EAAE,EAAE,OAAO,EAAE,KAAK,IAAI,kBAAkB,EAAE,oCAAoC,EAAE,OAAO,EAAE,IAAI1V,EAAE,EAAEC,EAAE,EAAEC,EAAE,GAAG,EAAE,OAAO,IAAIA,EAAE,GAAGF,EAAErI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEsI,EAAEtI,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAEzV,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAEyV,EAAE1V,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAE,IAAIW,EAAE,CAAC,GAAGV,EAAE,MAAMD,CAAC,EAAEY,EAAE,CAAC,WAAWzC,EAAE,QAAQE,EAAE,IAAIC,CAAC,EAAEuC,EAAEgc,EAAE,UAAUz9B,GAAGuhB,EAAEC,CAAC,EAAE,OAAOV,EAAEvI,EAAEkJ,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAI8/B,GAAGlrC,EAAE,CAAC,aAAairC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW3hD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgf,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,QAAQ,EAAE,IAAI,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAIwiC,GAAG1iC,EAAEI,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMuiC,GAAG,CAAC,WAAWvhD,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW,CAAC,EAAEH,EAAE,MAAM,CAAC,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIvK,GAAGqK,EAAEK,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI1K,GAAGyK,EAAEJ,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE,IAAIrK,GAAGqK,EAAEK,EAAE,GAAG,EAAE,EAAE,EAAE,IAAI1K,GAAGqK,EAAEI,EAAE,GAAG,EAAE,CAAC,EAAE,GAAG,CAAC,EAAE,CAAC,EAAE,IAAIzK,GAAG0K,EAAEL,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIrK,GAAGyK,EAAEJ,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,IAAIrK,GAAG0K,EAAEL,EAAE,GAAG,EAAE,EAAE,EAAE,IAAIrK,GAAGqK,EAAEI,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,EAAMyiC,GAAG,CAAC,WAAWvhD,GAAG,SAAS,CAAC0e,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWE,EAAE,MAAMC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAInE,GAAGiE,EAAEI,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMyiC,GAAG,CAAC,WAAWrhD,GAAG,SAAS,CAACue,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAEG,EAAED,EAAE,WAAW,EAAEA,EAAE,MAAM,EAAE,MAAM,KAAK,CAAC,EAAE,QAAQ4B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAEA,IAAI,GAAG3B,EAAE2B,CAAC,IAAI,EAAEA,CAAC,EAAE,EAAEA,CAAC,EAAE,UAAU3B,EAAE2B,CAAC,IAAI,EAAE,MAAM,IAAI,MAAM,mBAAmB3B,8BAA8B,KAAK,EAAE,IAAI0B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,EAAE,GAAGD,EAAE,KAAKC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAInF,GAAGmD,EAAE+B,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMghC,GAAG,CAAC,WAAWnhD,GAAG,SAASoe,IAAI,CAAC,EAAE,IAAIA,EAAE,MAAM,CAAC,EAAE,EAAMgjC,GAAG,CAAC,WAAWnhD,GAAG,SAASme,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMijC,GAAG,CAAC,WAAWnhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACke,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,aAAaC,EAAE,aAAa,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAIb,GAAGhK,GAAG7B,GAAG4M,EAAEC,CAAC,EAAE5L,GAAG2L,EAAE,CAAC,CAAC,EAAEJ,EAAER,GAAGQ,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkjC,GAAG,CAAC,WAAWlhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS0/C,GAAG,QAAQ,EAAMyB,GAAG,CAAC,WAAWlhD,GAAG,cAAc,GAAG,SAAS,CAAC+d,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,KAAK3B,CAAC,EAAEH,EAAE,EAAEoY,GAAGjY,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAE,EAAED,EAAE,IAAI4B,GAAGA,EAAE,CAAC,CAAC,EAAE,OAAO7F,GAAG6D,EAAE,EAAE,CAAC,EAAE,IAAIgC,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAMohC,GAAG,CAAC,WAAWlhD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC8d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,CAAC,EAAE9B,EAAE,OAAOuX,EAAEsO,GAAG,CAAC,EAAE,IAAI,iHAAiH,IAAI,EAAE,CAAC,EAAE,IAAI+B,GAAG1nB,EAAE,MAAMJ,EAAEK,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO,IAAIsxB,GAAGlzB,EAAEJ,EAAEK,EAAE,MAAM,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAMqhC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,KAAK,QAAQ,EAAE,SAAS,CAAC4d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,WAAW0B,EAAE,gBAAgBC,CAAC,EAAE9B,EAAE,MAAM,CAAC,GAAG,IAAIvQ,GAAGqQ,EAAEK,EAAE,EAAE,EAAE0B,EAAE,EAAEC,CAAC,EAAE,OAAO,IAAIsxB,GAAGtzB,EAAEI,EAAEC,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASshC,GAAGtjC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEA,EAAE,OAAO,IAAI,EAAEtG,EAAEsG,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,EAAE,EAAE,OAAO,IAAI,EAAEtG,EAAE,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG+d,EAAE,EAAE,OAAO,EAAE,IAAI,iEAAiE,EAAE,QAAQ,EAAEA,EAAE,EAAE,OAAO,EAAE,IAAI,8DAA8D,EAAE,QAAQ,EAAEA,EAAEvX,EAAE,SAAS,EAAE,IAAI,mEAAmEA,IAAI,EAAEuX,EAAE,EAAE,MAAM,CAAC,IAAIvX,EAAE,CAAC,EAAE,IAAI,4CAA4C,EAAE,MAAM,CAAC,wCAAwCA,EAAE,CAAC,IAAI,EAAEuX,EAAE,EAAE,MAAM,CAAC,IAAIvX,EAAE,CAAC,EAAE,IAAI,0CAA0C,EAAE,MAAM,CAAC,0CAA0CA,EAAE,CAAC,KAAK,EAAE,IAAI6B,EAAE,CAAC,EAAE,EAAE,GAAG,CAAC,EAAEC,EAAE,CAAC,QAAQ5B,EAAE,IAAIC,EAAE,YAAYH,CAAC,EAAE,OAAO0e,EAAE,UAAUt8B,GAAGyf,EAAEC,CAAC,CAAC,CAAC,IAAIuhC,GAAG/rC,EAAE,CAAC,sBAAsB8rC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWnhD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC2d,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUE,EAAE,QAAQC,EAAE,IAAI,CAAC,EAAEH,EAAEuX,EAAEsO,GAAG3lB,CAAC,EAAE,IAAI,iHAAiHA,IAAI,EAAE,GAAG,CAAC,EAAE2B,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAImmB,GAAG,EAAE,MAAMloB,EAAE+B,EAAE1B,EAAE,CAAC,EAAE,OAAO,IAAIkjC,GAAG,EAAEvjC,EAAE+B,EAAE,MAAM1B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAMojC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACwd,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEG,GAAGoE,GAAGtM,GAAEmR,EAAE,SAAS,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM0jC,GAAG,CAAC,WAAWjhD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACud,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEwE,GAAGvM,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM2jC,GAAG,CAAC,WAAW/gD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACod,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,EAAE,UAAU,EAAE,QAAQ,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI6B,EAAE8nB,GAAG,CAACxpB,CAAC,EAAED,EAAE,IAAI,EAAE4B,EAAE5R,GAAG4P,EAAEK,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0B,GAAG,OAAOC,EAAEjE,GAAGiE,EAAED,CAAC,GAAGC,CAAC,CAAC,CAAC,CAAC,EAAM4hC,GAAG,CAAC,WAAW3gD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC+c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,UAAUE,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAEH,EAAE6B,EAAE3B,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEqX,EAAEsO,GAAGhkB,CAAC,EAAE,IAAI,mHAAmHA,IAAI,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE,EAAE,OAAOwV,EAAEzV,EAAE,OAAO,EAAE,IAAI,kFAAkFA,EAAE,OAAO,EAAEyV,EAAExV,EAAE,OAAO,EAAE,IAAI,mFAAmFA,EAAE,OAAO,EAAEwV,EAAEzV,EAAE,MAAM,CAAC,IAAIC,EAAE,MAAM,CAAC,EAAE,IAAI,mEAAmED,EAAE,MAAM,CAAC,oDAAoDC,EAAE,MAAM,CAAC,IAAI,EAAEwV,EAAEuO,GAAG3lB,EAAE0B,CAAC,EAAE,IAAI,6FAA6F1B,oBAAoB0B,KAAK,EAAEmkB,GAAG,kBAAkB,EAAE,CAAC,EAAE,CAAC,EAAE,IAAI6N,GAAG/xB,EAAE,MAAMhC,EAAEiC,EAAE5B,EAAE,EAAE0B,EAAE,CAAC,EAAE,OAAO,IAAI8xB,GAAG7xB,EAAEhC,EAAEiC,EAAE,MAAM5B,EAAE,EAAE0B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8hC,GAAG,CAAC,WAAWxgD,GAAG,aAAa,CAAC,IAAI,QAAQ,EAAE,SAAS,CAAC2c,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,EAAE,CAAC,EAAED,EAAE,OAAOC,EAAE,GAAGL,CAAC,EAAE,EAAE,CAAC,EAAEI,EAAE,OAAOC,EAAE,GAAGL,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4e,EAAE,UAAUr7B,GAAG,EAAE2c,CAAC,EAAE,OAAO,IAAI0e,EAAE,UAAUt7B,GAAG,EAAE4c,CAAC,CAAC,CAAC,CAAC,EAAM4jC,GAAG,CAAC,WAAWngD,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACqc,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI0e,EAAE,UAAUh7B,GAAGwc,CAAC,CAAC,CAAC,CAAC,EAAM2jC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACic,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAEtJ,EAAE9E,GAAGiF,GAAGoF,GAAG6D,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAM4jC,GAAG,CAAC,WAAWhgD,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACgc,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,OAAO,EAAE,SAAS,CAAC+b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,MAAM,IAAIxG,EAAEsG,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMgkC,GAAG,CAAC,WAAWhgD,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC8b,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEhO,GAAGkO,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMikC,GAAG,CAAC,WAAW7/C,GAAG,SAAS0b,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMokC,GAAG,CAAC,WAAW7/C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyb,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7Q,GAAG8O,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAErI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE5F,GAAG+D,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG6Q,EAAEhT,GAAEkT,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMoiC,GAAG,CAAC,WAAW5/C,GAAG,aAAa,CAAC,IAAI,OAAO,WAAW,OAAO,EAAE,SAAS,CAACub,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,gBAAgBE,CAAC,EAAEF,EAAE,CAACG,EAAE,EAAE,EAAE0B,CAAC,EAAE,EAAEC,EAAED,GAAG,KAAK5H,GAAG,CAAC,EAAE4H,EAAEE,EAAE8mB,GAAG,EAAE,MAAM1oB,EAAE,KAAK,EAAEqC,EAAE,CAAC,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC,QAAQgC,EAAE,EAAEA,EAAErE,EAAE,MAAM,OAAO,EAAE,EAAEqE,EAAEhC,EAAE,KAAKrC,EAAE,MAAMqE,CAAC,CAAC,EAAEhC,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIC,EAAE/F,GAAGyD,EAAE,CAAC,EAAEuC,EAAE9L,EAAEkJ,EAAEgC,CAAC,EAAEa,EAAE3I,GAAGhN,EAAE,EAAEiN,GAAGiG,CAAC,CAAC,CAAC,EAAE0C,EAAEhM,EAAEA,EAAEA,EAAE+L,EAAEA,CAAC,EAAEA,CAAC,EAAE1I,GAAG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,EAAE,OAAO,EAAET,EAAE5C,EAAEA,EAAEkJ,EAAErC,GAAGjE,EAAEmJ,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEH,CAAC,CAAC,EAAEV,CAAC,EAAE3B,EAAE,KAAK,EAAE3G,EAAE5C,EAAEA,EAAEkJ,EAAE6C,CAAC,EAAEb,CAAC,EAAE3B,EAAE,KAAK,EAAE,KAAK,IAAI,CAAC,IAAIqE,EAAE5N,EAAEA,EAAE+L,EAAE1I,GAAG,EAAE,CAAC,EAAEyI,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,EAAE,SAAS,IAAI,CAAC,IAAIA,EAAE5N,EAAEA,EAAEgM,EAAEH,CAAC,EAAEC,CAAC,EAAE,OAAO,EAAE,OAAO,IAAI8B,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,EAAE,MAAM,IAAI,CAAC,IAAIA,EAAE5N,EAAE6L,EAAEE,CAAC,EAAE8B,EAAE7N,EAAEkJ,EAAE0E,CAAC,EAAE,OAAO,EAAE,OAAO,IAAIC,EAAE9H,GAAG8H,EAAE1C,CAAC,GAAGvI,EAAEiL,EAAE,EAAE,KAAK,CAAC,EAAE,OAAO,IAAI,CAAC,IAAID,EAAE1E,EAAE,OAAO,EAAE,OAAO,IAAI0E,EAAE7H,GAAG6H,EAAEzC,CAAC,GAAGvI,EAAEgL,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM4/B,GAAG,CAAC,WAAWx/C,GAAG,aAAa,CAAC,IAAI,SAAS,EAAE,SAAS,CAACkb,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEH,EAAE,EAAEoY,GAAG,EAAElY,EAAE,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAE5B,EAAE,MAAM,EAAEC,EAAE,KAAKqC,EAAEV,EAAE,MAAM,EAAE,CAAC,EAAE,EAAEU,EAAE,OAAOE,EAAEZ,EAAE,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,CAAC,EAAEa,EAAED,EAAE,OAAOE,EAAEyhC,GAAG,EAAE,CAAC,EAAEvgC,EAAEugC,GAAG,EAAE,EAAE,EAAE,EAAE1hC,CAAC,EAAEoB,EAAEugC,GAAG,CAAC9hC,EAAE,CAAC,CAAC,EAAEE,CAAC,CAAC,EAAE0E,EAAE5N,EAAEsG,EAAEiE,CAAC,EAAEa,EAAEpL,EAAE2G,EAAE,CAAC,CAAC,CAAC,EAAEoE,EAAE+/B,GAAG,CAAC,CAAC,CAAC,EAAE1hC,EAAEkB,CAAC,CAAC,EAAEU,EAAE3G,GAAGuJ,EAAE7C,CAAC,EAAEE,EAAEvG,GAAGsG,EAAEI,EAAE1E,EAAE,MAAM,CAAC,CAAC,EAAEwE,EAAEklB,GAAGrlB,CAAC,EAAE,OAAOE,EAAE5G,GAAG4G,EAAEC,CAAC,EAAED,CAAC,EAAE,QAAQ,IAAItE,CAAC,CAAC,CAAC,EAAE,SAASkkC,GAAGvkC,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,SAASskC,GAAGxkC,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAEE,CAAC,EAAE,OAAO,EAAEE,EAAE,EAAE,KAAKJ,EAAEE,CAAC,EAAEE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAIqkC,GAAG,CAAC,WAAWx/C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC+a,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIZ,GAAGU,CAAC,EAAE,EAAE,IAAIV,GAAGY,CAAC,CAAC,CAAC,CAAC,EAAMskC,GAAG,CAAC,WAAWt/C,GAAG,SAAS4a,IAAI,CAAC,EAAE,IAAIjR,GAAEiR,EAAE,SAAS,CAAC,EAAE,EAAM2kC,GAAG,CAAC,WAAWp/C,GAAG,SAASya,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM4kC,GAAG,CAAC,WAAWp/C,GAAG,SAASwa,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM6kC,GAAG,CAAC,WAAWp/C,GAAG,SAASua,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM8kC,GAAG,CAAC,WAAW/+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACia,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEH,EAAE,EAAE3M,GAAG6M,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIf,GAAG,EAAEW,EAAElJ,EAAEkJ,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM0kC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4Z,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE9S,EAAEgT,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8kC,GAAG,CAAC,WAAW7+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC6Z,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM+kC,GAAG,CAAC,WAAW5+C,GAAG,aAAa,CAAC,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC2Z,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,MAAM,CAAC,OAAO,IAAI,CAAC,IAAI4B,EAAE9P,GAAGoO,CAAC,EAAE,OAAOxD,GAAGoD,EAAElJ,EAAE+F,GAAGmD,EAAEK,EAAE,EAAE,EAAEyB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASojC,GAAGllC,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,CAAC,IAAI0B,EAAE,CAAC,EAAE/B,EAAE,EAAE,EAAE,GAAGE,CAAC,EAAE8B,EAAE,CAAC,YAAY5B,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAE,OAAOue,EAAE,UAAUh5B,GAAGmc,EAAEC,CAAC,CAAC,CAAC,IAAImjC,GAAG3tC,EAAE,CAAC,oCAAoC0tC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWz/C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACqa,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE9B,EAAE,MAAM,CAAC,EAAE,IAAIilC,GAAG/kC,EAAEC,EAAEL,EAAE,EAAE,EAAE+B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASqjC,GAAGrlC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,EAAE,KAAKF,EAAE,OAAO,EAAExG,EAAE,EAAEiwB,GAAG,EAAE,MAAMvpB,CAAC,CAAC,GAAGJ,EAAE,KAAKE,EAAE,OAAOF,EAAEtG,EAAEsG,EAAE2pB,GAAG3pB,EAAE,MAAMI,CAAC,CAAC,GAAG,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAE8C,GAAGqO,EAAE,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIslC,GAAG,CAAC,WAAW1+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACoZ,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,iBAAiBG,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE2B,EAAEuW,GAAGjY,EAAE,EAAE,KAAK,EAAE2B,EAAEqjC,GAAGrlC,EAAE,EAAE,EAAE+B,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMujC,GAAG,CAAC,WAAWr+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC8Y,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEyE,GAAG0M,EAAEE,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEyF,GAAG0L,EAAEE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAE,SAASolC,GAAGxlC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,KAAK,eAAe,EAAEgC,EAAEyd,EAAE,EAAE,QAAQ,eAAe,EAAExd,EAAEwd,EAAEvf,EAAE,SAAS,eAAe,EAAEwC,EAAEX,EAAEY,EAAEX,EAAEY,EAAEX,EAAEY,EAAE,GAAGb,EAAE,OAAO,IAAIa,EAAE,GAAGH,EAAEhJ,EAAEqI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEY,EAAEjJ,EAAEsI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEY,EAAElJ,EAAEuI,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAGwV,EAAE/U,EAAE,OAAO,EAAE,IAAI,0DAA0DA,EAAE,OAAO,EAAE+U,EAAE9U,EAAE,OAAO,EAAE,IAAI,6DAA6DA,EAAE,OAAO,EAAE8U,EAAE7U,EAAE,OAAO,EAAE,IAAI,8DAA8DA,EAAE,OAAO,EAAEsjB,GAAG,gBAAgB,EAAE,CAAC,EAAE,IAAIpjB,EAAE,CAAC,GAAGJ,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEoB,EAAE,CAAC,WAAW5D,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,EAAEue,EAAE,UAAU73B,GAAG+b,EAAEkB,CAAC,EAAE,OAAOnB,EAAEnJ,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,IAAI+rC,GAAGjuC,EAAE,CAAC,eAAeguC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAW5+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACkZ,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE9B,EAAE,MAAM,CAAC,EAAE,IAAIulC,GAAGzlC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS2jC,GAAG3lC,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE0d,EAAEzf,EAAE,KAAK,aAAa,EAAEgC,EAAEyd,EAAE,EAAE,QAAQ,aAAa,EAAExd,EAAEwd,EAAEvf,EAAE,SAAS,aAAa,EAAEuX,EAAEzV,EAAE,OAAOD,EAAE,KAAK,IAAI,kBAAkBC,EAAE,oCAAoCD,EAAE,OAAO,EAAE0V,EAAE1V,EAAE,OAAO,EAAE,IAAI,wDAAwDA,EAAE,OAAO,EAAE0V,EAAEzV,EAAE,OAAO,EAAE,IAAI,2DAA2DA,EAAE,OAAO,EAAEkkB,GAAG,cAAc,EAAE,CAAC,EAAE,IAAIxjB,EAAE,CAAC,GAAGX,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAEU,EAAE,CAAC,WAAWvC,EAAE,QAAQC,EAAE,IAAI,EAAE,gBAAgB,CAAC,EAAE,OAAOue,EAAE,UAAU53B,GAAG0b,EAAEC,CAAC,CAAC,CAAC,IAAIijC,GAAGpuC,EAAE,CAAC,aAAamuC,EAAE,CAAC,EAAME,GAAG,CAAC,WAAWh/C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACmZ,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,CAAC,EAAE7B,EAAE,MAAM,CAAC,EAAE,IAAI0lC,GAAG5lC,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC6Y,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,EAAEoY,GAAGjY,EAAED,EAAE,KAAK,EAAE2B,EAAE2nB,GAAGtpB,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE4B,EAAE6V,GAAG9V,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIW,EAAEtC,EAAE,MAAM,MAAM,EAAE,EAAE,QAAQyC,GAAG,CAACH,EAAEG,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIF,EAAEjJ,EAAEsG,EAAE0C,CAAC,EAAE,OAAOxR,GAAG4F,EAAE6L,EAAErL,GAAG8I,EAAE,MAAM,SAAS,CAAC,EAAE4B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+jC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC4Y,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE2B,EAAEuW,GAAGjY,EAAE,EAAE,KAAK,EAAE2B,EAAEqjC,GAAGrlC,EAAE,EAAE,EAAE+B,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIC,EAAE,EAAE,CAAC,CAAC,CAAC,EAAMgkC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC2Y,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAE0F,GAAGyL,EAAEE,CAAC,EAAE,SAAS,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAEjR,GAAEwE,GAAG2M,EAAEE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM6lC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0Y,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,CAAC,EAAE,CAAC,SAASC,CAAC,EAAEH,EAAE,EAAEG,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI9E,GAAGyE,EAAE,EAAEI,EAAE,KAAK,CAAC,CAAC,CAAC,EAAM8lC,GAAG,CAAC,WAAW3+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyY,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEgnB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO0B,EAAE,OAAO,EAAErI,EAAEmD,GAAGmD,EAAE+B,CAAC,EAAE7B,EAAE,KAAK,EAAEF,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI+B,EAAEjL,EAAEkJ,EAAE/I,GAAGzE,GAAGtB,GAAGgP,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE4B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAMokC,GAAG,CAAC,WAAWz+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACsY,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAEjL,EAAEkJ,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,EAAE2B,CAAC,CAAC,CAAC,CAAC,EAAMqkC,GAAG,CAAC,WAAWz+C,GAAG,SAASqY,IAAI,CAAC,EAAE,IAAI/I,GAAG+I,CAAC,CAAC,EAAE,EAAMqmC,GAAG,CAAC,WAAWp+C,GAAG,aAAa,CAAC,SAAS,EAAE,SAAS,CAAC+X,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,QAAQ,IAAIX,GAAGW,EAAE,MAAM,SAAS,CAAC,CAAC,CAAC,EAAMomC,GAAG,CAAC,WAAWp+C,GAAG,SAAS8X,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMumC,GAAG,CAAC,WAAWl+C,GAAG,cAAc,GAAG,SAAS,CAAC2X,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAE,OAAO7B,GAAG2B,EAAEI,CAAC,EAAE,IAAIyB,GAAG,IAAIA,CAAC,CAAC,CAAC,EAAM2kC,GAAG,CAAC,WAAWl+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0X,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAE,EAAE,CAAC,EAAE,CAAC,SAASC,CAAC,EAAEH,EAAE,EAAEG,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI9E,GAAGyE,EAAE,EAAEI,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMqmC,GAAG,CAAC,WAAWj+C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,cAAc,CAAC,EAAE,EAAE,SAAS,CAACwX,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,EAAEC,CAAC,EAAE,EAAE,EAAEH,EAAE,EAAEE,EAAE2B,EAAE8mB,GAAG,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAInmB,EAAE3T,GAAE,EAAE,SAAS,EAAE4T,EAAE7L,EAAEkJ,EAAElJ,EAAE4L,EAAE1K,GAAG,EAAE4E,GAAG8F,EAAEvI,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEyI,EAAEmmB,GAAG,EAAE,MAAMhnB,CAAC,EAAE,OAAOa,EAAE,OAAO,IAAID,EAAE9F,GAAG8F,EAAEC,CAAC,GAAGlJ,EAAEiJ,EAAE,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAID,EAAEnP,GAAG,EAAE,CAAC,EAAEoP,EAAEtD,GAAGqD,EAAE1N,GAAG,CAAC,EAAEwK,GAAG,CAAC,CAAC,EAAEoD,EAAE9L,EAAEkJ,EAAElJ,EAAEuJ,EAAEsC,CAAC,CAAC,EAAEE,EAAEkmB,GAAG,EAAE,MAAMhnB,CAAC,EAAE,OAAOc,EAAE,OAAO,IAAID,EAAE/F,GAAG+F,EAAEC,CAAC,GAAGnJ,EAAEkJ,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAM8jC,GAAG,CAAC,WAAWj+C,GAAG,aAAa,CAAC,IAAI,OAAO,EAAE,SAAS,CAACuX,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAE9M,GAAG2M,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIb,GAAGgB,EAAEL,EAAElJ,EAAEkJ,EAAEI,CAAC,CAAC,EAAE,MAAM,IAAI,CAAC,IAAI,EAAEf,GAAGgB,EAAEb,GAAGQ,CAAC,EAAElJ,EAAEkJ,EAAEE,CAAC,CAAC,EAAE,EAAE6oB,GAAG3oB,EAAE,MAAMJ,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,IAAI,EAAEnD,GAAG,EAAE,CAAC,GAAGnD,EAAE,EAAE0G,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,SAASumC,GAAG3mC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,MAAM,EAAEI,EAAEF,CAAC,EAAE,EAAE,IAAIG,EAAE3G,EAAE,EAAE0G,CAAC,EAAE,EAAEjQ,GAAG6P,EAAEE,EAAE,GAAG,EAAE,EAAE,EAAE/P,GAAG6P,EAAEE,EAAE,GAAG,EAAE,EAAE6B,EAAEjL,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAEuJ,EAAE0B,CAAC,CAAC,CAAC,SAAS6kC,GAAG5mC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,OAAOK,EAAED,EAAEF,EAAE,OAAO,EAAElS,EAAE,mBAAmBkS,EAAEE,CAAC,EAAE,EAAEJ,EAAE,GAAG,OAAO,EAAEjC,GAAGiC,EAAE,CAAC,GAAG,IAAI+B,EAAE,EAAE,MAAM,MAAM,EAAE,EAAEA,EAAE,OAAO3B,EAAEF,EAAE,OAAOA,EAAE,MAAM,EAAE,OAAO,CAAC0C,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAEd,EAAE,KAAK,CAAC,EAAE,IAAIW,EAAE,EAAE,QAAQX,CAAC,EAAE,EAAE4kC,GAAGjkC,EAAE,EAAErC,CAAC,EAAE,GAAG,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,GAAG,KAAK,CAAC,IAAIuC,EAAE5U,EAAE,uBAAuB,CAAC,EAAE,EAAE+P,GAAG,EAAE6E,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIikC,GAAG,CAAC,WAAWn+C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsX,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,EAAE,CAAC,EAAE,OAAOG,GAAG,KAAK,EAAED,EAAE,MAAM,IAAI,CAAC,EAAE2B,IAAIA,CAAC,EAAE,OAAO1B,GAAG,SAAS,EAAE,CAACA,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,IAAIumC,GAAGxmC,EAAEJ,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAAC6W,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE7Q,GAAG8O,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,EAAE4B,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,EAAEtI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE9B,EAAE,KAAK,EAAE6B,CAAC,EAAE,EAAE,IAAI,CAAC,IAAIA,EAAEjL,EAAEkJ,EAAEjR,GAAEmR,EAAE,SAAS,CAAC,EAAE8B,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE2B,EAAE,OAAO,IAAID,EAAErI,EAAEmD,GAAGkF,EAAEC,CAAC,EAAE5B,EAAE,KAAK,GAAG,IAAI6B,EAAE5F,GAAG+D,CAAC,EAAE,OAAOnJ,GAAG/F,GAAG6Q,EAAEhT,GAAEkT,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8kC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4W,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE/I,GAAGoF,GAAG6D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAWz9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACyW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEE,EAAEtJ,EAAErC,GAAGyL,EAAE,CAAC,EAAEzD,GAAGyD,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAEqR,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAM6mC,GAAG,CAAC,WAAW39C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0W,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAE0N,GAAGyD,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,EAAMgnC,GAAG,CAAC,WAAW19C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACwW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIxG,EAAEsG,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,EAAMinC,GAAG,CAAC,WAAW19C,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAACuW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGL,EAAE,OAAOI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIwe,EAAE,UAAUl1B,GAAG2W,EAAEH,CAAC,CAAC,CAAC,CAAC,EAAMknC,GAAG,CAAC,WAAWz9C,GAAG,aAAa,CAAC,QAAQ,EAAE,SAAS,CAACqW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGL,EAAE,OAAOI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIwe,EAAE,UAAUh1B,GAAGyW,EAAEH,CAAC,CAAC,CAAC,CAAC,EAAMmnC,GAAG,CAAC,WAAWx9C,GAAG,SAAS,CAACmW,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAEG,EAAEiY,GAAGlY,EAAEJ,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAIrG,GAAGqG,EAAEK,CAAC,CAAC,CAAC,CAAC,EAAMinC,GAAG,CAAC,WAAWv9C,GAAG,SAASiW,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMunC,GAAG,CAAC,WAAWv9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgW,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIjJ,GAAG/F,GAAG8O,EAAElJ,EAAEkB,GAAGkI,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMsnC,GAAG,CAAC,WAAWp9C,GAAG,aAAa,CAAC,WAAW,EAAE,SAAS,CAAC4V,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,UAAU,IAAInR,GAAEyQ,GAAGU,CAAC,EAAE,SAAS,EAAE,EAAE,IAAIpJ,EAAEkJ,EAAEjR,GAAEmR,EAAEF,EAAE,KAAK,CAAC,EAAE,EAAE,IAAIlJ,EAAEkJ,EAAEjR,GAAEuG,GAAG4K,CAAC,EAAEF,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMynC,GAAG,CAAC,WAAWp9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC2V,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAE7M,GAAG2M,EAAE/F,GAAG,CAAC,CAAC,EAAEkG,EAAElG,GAAGokC,EAAE,EAAE,EAAEpkC,GAAGmkC,EAAE,EAAE,EAAExnC,EAAEkJ,EAAE,CAAC,EAAE+B,EAAEjL,EAAEA,EAAEkJ,EAAEK,CAAC,EAAErO,GAAGjD,GAAEmR,EAAE,SAAS,CAAC,CAAC,EAAE,OAAOb,GAAGe,EAAE,EAAE2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM2lC,GAAG,CAAC,WAAWn9C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACyV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAElJ,EAAEoJ,EAAEtD,GAAGzC,GAAG,CAAC,EAAE+F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMynC,GAAG,CAAC,WAAWn9C,GAAG,SAASwV,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAM4nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACuV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE9G,GAAGjB,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM6nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACsV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE7G,GAAGlB,GAAEmR,EAAE,SAAS,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM8nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACqV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,MAAMC,EAAE,KAAK,CAAC,EAAEH,EAAE,EAAEE,EAAE,MAAM,CAAC2B,EAAEC,CAAC,EAAE+6B,GAAG38B,EAAEC,EAAE,CAAC,EAAE4B,EAAE,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAE1C,EAAE,KAAK0C,IAAIT,EAAE,KAAK,CAACF,EAAEW,CAAC,EAAE,EAAEA,CAAC,EAAEX,EAAEW,CAAC,EAAEV,EAAEU,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIhL,GAAGsI,EAAEiC,CAAC,CAAC,CAAC,CAAC,EAAM8lC,GAAG,CAAC,WAAWn9C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAACoV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,IAAIC,CAAC,EAAEH,EAAE,EAAE,GAAG,EAAEpJ,EAAEkJ,EAAEI,CAAC,EAAE,MAAM,CAAC,OAAO,IAAIxD,GAAG,EAAE9F,EAAE+F,GAAG,EAAE,CAACwD,CAAC,EAAE,CAAC,EAAED,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM4nC,GAAG,CAAC,WAAWn9C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACmV,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAE9E,GAAGgF,CAAC,CAAC,CAAC,CAAC,CAAC,EAAM+nC,GAAG,CAAC,WAAWn9C,GAAG,SAAS,CAACkV,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,WAAWE,EAAE,SAASC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI5R,GAAG0R,EAAEI,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAM6nC,GAAG,CAAC,WAAW98C,GAAG,SAAS,CAAC4U,EAAE,EAAEE,IAAI,CAAC,GAAG,CAAC,KAAKE,CAAC,EAAEF,EAAE,MAAM,CAAC,EAAE,IAAI9Q,GAAG4Q,EAAEI,CAAC,CAAC,CAAC,CAAC,EAAM+nC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC2U,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAElJ,EAAEsF,GAAGrN,GAAEmR,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMkoC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC0U,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAEkJ,EAAElJ,EAAE/H,GAAEmR,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMmoC,GAAG,CAAC,WAAW98C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACyU,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAElG,GAAG,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIrD,EAAEkJ,EAAElJ,EAAEuJ,EAAEzD,GAAGsD,EAAEE,CAAC,CAAC,CAAC,EAAE,EAAE,IAAItJ,EAAEkJ,EAAElJ,EAAEuJ,EAAEzD,GAAGwD,EAAEF,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMooC,GAAG,CAAC,WAAW98C,GAAG,SAASwU,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMuoC,GAAG,CAAC,WAAW18C,GAAG,aAAa,CAAC,IAAI,GAAG,EAAE,SAAS,CAACmU,EAAE,IAAI,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAE,EAAEC,EAAEwoB,GAAG3oB,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI2B,EAAE/B,EAAEgC,EAAE+mB,GAAG7oB,EAAE,MAAMG,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEqI,EAAE7B,EAAE,KAAK,CAAC,EAAE,EAAE,IAAI,CAAC,IAAI6B,EAAE/B,EAAEgC,EAAE+mB,GAAG3oB,EAAE,MAAMC,CAAC,EAAE,OAAO2B,EAAE,OAAO,IAAID,EAAElF,GAAGkF,EAAEC,CAAC,GAAGtI,EAAEzC,GAAG8K,CAAC,EAAE3B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAMooC,GAAG,CAAC,WAAW18C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACkU,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAEC,EAAED,EAAE,MAAM,MAAM,EAAE,CAAC,KAAK,CAAC,EAAEF,EAAEoY,GAAG,EAAElY,EAAE,KAAK,EAAE,QAAQ,GAAG,CAACC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI0B,EAAErI,EAAEsG,EAAEK,CAAC,EAAE2B,EAAElL,EAAEiL,EAAEzK,GAAG8I,EAAE,MAAM,SAAS,CAAC,EAAE,MAAM,CAAC,EAAE,IAAI4B,CAAC,CAAC,CAAC,EAAMymC,GAAG,CAAC,WAAWz8C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAACgU,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIhP,GAAG8O,EAAE3D,GAAGrM,GAAGkQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAMwoC,GAAG,CAAC,WAAWz8C,GAAG,cAAc,CAAC,EAAE,EAAE,SAAS,CAAC+T,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAIpJ,EAAE8F,GAAGzC,GAAG,CAAC,EAAEkC,GAAG6D,CAAC,CAAC,EAAEF,CAAC,CAAC,CAAC,CAAC,EAAM2oC,GAAG,CAAC,WAAWv8C,GAAG,aAAa,CAAC,GAAG,EAAE,SAAS,CAAC4T,EAAE,EAAEE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,CAAC,KAAKC,CAAC,EAAEH,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,IAAI4B,EAAEtC,GAAGY,CAAC,EAAE,GAAGA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,CAAC,EAAE,EAAE0B,EAAED,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,CAAC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,CAAC,EAAE,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,CAAC,EAAE,EAAE2B,EAAEF,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,CAAC,EAAE,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,CAAC,EAAE,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,CAAC,EAAE,EAAE,EAAEyB,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE5B,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,UAAUA,EAAE,OAAO,EAAE,QAAQ2B,EAAE,EAAEA,EAAE1B,EAAE,CAAC,EAAE,EAAE0B,EAAE,QAAQC,EAAE,EAAEA,EAAE3B,EAAE,CAAC,EAAE,EAAE2B,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,CAAC,EAAE,EAAE,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,CAAC,EAAE,EAAEqC,EAAEZ,EAAE5U,EAAE4U,EAAEvG,GAAGyE,EAAE,CAAC+B,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE5B,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAEsC,EAAEtC,EAAE,MAAM,CAAC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,2DAA2DA,EAAE,mBAAmB,EAAE,OAAO0B,CAAC,CAAC,CAAC,CAAC,EAAM8mC,GAAG,CAAC,WAAWr8C,GAAG,SAAS,CAACyT,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,EAAE0pB,GAAGzpB,CAAC,EAAE,MAAM,CAAC,EAAE,IAAItC,GAAGiC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAM6oC,GAAG,CAAC,WAAWp8C,GAAG,SAAS,CAACuT,EAAE,EAAEE,IAAI,CAAC,IAAIE,EAAEF,EAAE,CAAC,KAAKG,CAAC,EAAED,EAAE,MAAM,CAAC,MAAM,IAAI5D,GAAGwD,EAAEK,CAAC,CAAC,CAAC,CAAC,EAAMyoC,GAAG,CAAC,WAAWp8C,GAAG,aAAa,CAAC,YAAY,EAAE,SAAS,CAACsT,EAAE,IAAI,CAAC,GAAG,CAACE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,IAAI6oC,GAAG/oC,EAAEE,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS6oC,GAAG/oC,EAAE,EAAE,CAAC,IAAIE,EAAEjK,GAAG,EAAEuJ,GAAG,CAAC,CAAC,EAAEY,EAAExN,GAAGoN,EAAEE,CAAC,EAAEG,EAAE7M,GAAG,EAAE2G,GAAG,EAAE,OAAO,CAAC,EAAE,EAAEiG,EAAE,KAAKC,EAAE,KAAK,QAAQ0B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE1B,EAAEpO,GAAGoO,EAAE0B,EAAE,CAAC,EAAE1B,EAAEhL,GAAGgL,EAAE/I,GAAG8I,EAAE,MAAM,MAAM,CAAC,EAAE,IAAI,EAAEZ,GAAGY,CAAC,EAAE,OAAOf,GAAGgB,EAAED,EAAE,CAAC,CAAC,CAAC,IAAI4oC,GAAG,CAAC,WAAWn8C,GAAG,SAASmT,IAAI,CAAC,EAAE,IAAIR,GAAGQ,CAAC,CAAC,EAAE,EAAMipC,GAAG,CAACvH,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGI,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGiD,GAAGhD,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGG,GAAGE,GAAGA,GAAGC,GAAGG,GAAGG,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGC,GAAGG,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGA,GAAGC,GAAGA,GAAGC,GAAGE,GAAGD,GAAGE,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGC,GAAGE,EAAE,EAAE,QAAQhpC,KAAKipC,GAAG9vC,GAAG6G,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9wB,GAAG,IAAI,CAAC,EAAE8wB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7wB,GAAG,IAAI,CAAC,EAAE6wB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5wB,GAAG,IAAI,CAAC,EAAE4wB,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9S,EAAE,KAAK8S,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5S,GAAG,KAAK4S,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3S,GAAG,KAAK2S,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1S,GAAG,KAAK0S,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzS,GAAG,KAAKyS,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpG,EAAE,KAAK,OAAO,EAAE,IAAI,qCAAqC,EAAE/d,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjR,GAAE,KAAKiR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnkB,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAK,CAACsG,EAAE,CAAC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExG,EAAE,KAAK,CAACsG,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1G,EAAE,KAAK,CAACsG,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3G,EAAE,KAAK,CAACsG,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErwB,GAAG,IAAI,CAAC,EAAEqwB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpwB,GAAG,IAAI,CAAC,EAAEowB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnwB,GAAG,IAAI,CAAC,EAAEmwB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErS,GAAG,KAAKqS,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEjwB,GAAG,IAAI,CAAC,EAAEiwB,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvS,GAAG,KAAKmS,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1R,GAAG,KAAK0R,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnS,GAAG,KAAK8R,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,YAAY,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtR,GAAG,KAAKsR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjR,GAAE,KAAKiR,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7uB,GAAG,IAAI,CAAC,EAAE6uB,EAAE,EAAE,UAAU,YAAY,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/Q,GAAG,KAAK+Q,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEA,aAAa9T,KAAK8T,EAAE,CAACA,CAAC,GAAG5Q,GAAG,CAAC,KAAK,GAAG4Q,CAAC,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3Q,GAAG,KAAKsQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzQ,GAAG,KAAKoQ,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1Q,GAAG,KAAKqQ,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7tB,GAAG,IAAI,CAAC,EAAE6tB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5tB,GAAG,IAAI,CAAC,EAAE4tB,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/P,GAAG,KAAK6P,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9P,GAAG,KAAK4P,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvP,GAAG,KAAKuP,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3P,GAAG,KAAKsP,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvP,GAAG,KAAKkP,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7O,GAAG,KAAK6O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9O,GAAG,KAAK8O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5O,GAAG,KAAK4O,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtsB,GAAG,IAAI,CAAC,EAAEssB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnO,GAAG,KAAKmO,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE/rB,GAAG,IAAI,CAAC,EAAE+rB,EAAE,EAAE,UAAU,cAAc,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjO,GAAG,KAAKiO,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7rB,GAAG,IAAI,CAAC,EAAE6rB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/N,GAAG,KAAK+N,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3rB,GAAG,IAAI,CAAC,EAAE2rB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEzrB,GAAG,IAAI,CAAC,EAAEyrB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEnkB,EAAE,KAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAEmkB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErrB,GAAG,IAAI,CAAC,EAAEqrB,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvN,GAAG,KAAKuN,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEpN,GAAG,KAAKoN,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExM,GAAG,KAAKwM,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzM,GAAG,KAAKyM,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEpqB,GAAG,IAAI,CAAC,EAAEoqB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7pB,GAAG,IAAI,CAAC,EAAE6pB,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5pB,GAAG,IAAI,CAAC,EAAE4pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3pB,GAAG,IAAI,CAAC,EAAE2pB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE1pB,GAAG,IAAI,CAAC,EAAE0pB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzL,GAAG,KAAKyL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvL,GAAG,KAAKuL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExL,GAAG,KAAKwL,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,2BAA2B,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErL,GAAG,KAAKiL,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3oB,GAAG,IAAI,CAAC,EAAE2oB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7K,GAAG,KAAK6K,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5K,GAAG,KAAK4K,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7oB,GAAG,IAAI,CAAC,EAAE6oB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5oB,GAAG,IAAI,CAAC,EAAE4oB,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3K,GAAG,KAAK2K,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEvoB,GAAG,IAAI,CAAC,EAAEuoB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzK,GAAG,KAAKyK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExK,GAAG,KAAKwK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvK,GAAG,KAAKqK,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtK,GAAG,KAAKkK,EAAE,EAAEE,EAAEE,CAAC,CAAC,EAAEyd,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnK,GAAG,KAAKmK,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/J,GAAG,KAAK+J,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE9J,GAAG,KAAK8J,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1J,GAAG,KAAK0J,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzJ,GAAG,KAAKyJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAExJ,GAAG,KAAKwJ,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvJ,GAAG,KAAKuJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAElJ,EAAE,KAAKkJ,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5mB,GAAG,IAAI,CAAC,EAAE4mB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/I,GAAG,KAAK6I,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,SAAS,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5I,GAAG,KAAK4I,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,EAAE,EAAEE,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7I,GAAG,KAAK2I,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtmB,GAAG,IAAI,CAAC,EAAEsmB,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtI,GAAG,KAAKsI,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtI,GAAG,KAAKiI,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEhI,GAAG,KAAKgI,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/H,GAAG,KAAK+H,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7H,GAAG,KAAK6H,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,WAAW,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7kB,GAAG,IAAI,CAAC,EAAE6kB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtkB,GAAG,IAAI,CAAC,EAAEskB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAErkB,GAAG,IAAI,CAAC,EAAEqkB,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAKsG,EAAE,KAAK,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEtG,EAAE,KAAKsG,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEy2B,GAAG,KAAK32B,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,sBAAsB,SAAS7d,EAAE,EAAEE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE22B,GAAG,KAAK72B,EAAE,EAAEE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErG,GAAG,KAAKqG,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7jB,GAAG,IAAI,CAAC,EAAE6jB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE5jB,GAAG,IAAI,CAAC,EAAE4jB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3jB,GAAG,IAAI,CAAC,EAAE2jB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEtjB,GAAG,IAAI,CAAC,EAAEsjB,EAAE,EAAE,UAAU,gBAAgB,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7F,GAAG,KAAKwF,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,CAAC,EAAEwd,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE3iB,GAAG,IAAI,CAAC,EAAE2iB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE1iB,GAAG,IAAI,CAAC,EAAE0iB,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAExiB,GAAG,IAAI,CAAC,EAAEwiB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEviB,GAAG,IAAI,CAAC,EAAEuiB,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzE,GAAG,KAAKyE,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnE,GAAG,KAAKmE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,SAAS,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE/hB,GAAG,IAAI,CAAC,EAAE+hB,EAAE,EAAE,UAAU,eAAe,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjE,GAAG,KAAKiE,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE7D,GAAG,KAAK6D,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEzhB,GAAG,IAAI,CAAC,EAAEyhB,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAExhB,GAAG,IAAI,CAAC,EAAEwhB,EAAE,EAAE,UAAU,kBAAkB,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE1D,GAAG,KAAK0D,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEzD,GAAG,KAAKyD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIE,EAAEF,aAAa9T,GAAG,CAAC,KAAK8T,CAAC,EAAE,CAAC,KAAK,GAAGA,CAAC,EAAE,OAAOxD,GAAG0D,EAAE,CAAC,CAAC,EAAE2d,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEvD,GAAG,KAAKuD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,aAAa,SAAS7d,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErF,GAAG,KAAKsD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,CAAC,CAAC,EAAE8b,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEpD,GAAG,KAAKoD,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnD,GAAG,KAAKmD,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,IAAI,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9gB,GAAG,IAAI,CAAC,EAAE8gB,EAAE,EAAE,UAAU,KAAK,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE7gB,GAAG,IAAI,CAAC,EAAE6gB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAErC,GAAG,KAAKqC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,MAAM,CAAC,EAAE8uB,EAAE,EAAE,UAAU,QAAQ,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,SAAS,CAAC,EAAE8uB,EAAE,EAAE,UAAU,MAAM,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAE9uB,GAAE,KAAK,OAAO,CAAC,EAAE8uB,EAAE,EAAE,UAAU,KAAK,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEnC,GAAG,KAAKmC,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEjC,GAAG,KAAKiC,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,OAAO,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE/B,GAAG,KAAK+B,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,mBAAmB,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE5B,GAAG,KAAK4B,EAAE,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,QAAQ,SAAS7d,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE3B,GAAG,KAAK2B,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,MAAM,SAAS7d,EAAE,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEX,GAAGW,EAAE,KAAK,CAAC,CAAC,EAAE6d,EAAE,EAAE,UAAU,UAAU,UAAU,CAAC,OAAO,KAAK,gBAAgB,EAAEre,GAAG,IAAI,CAAC,EAAE,IAAI0pC,GAAG,cAAc,KAAK,CAAC,YAAYtoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKsoC,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYvoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKuoC,GAAG,SAAS,CAAC,CAAC,EAAEC,EAAE,cAAc,KAAK,CAAC,YAAYxoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKwoC,EAAE,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAYzoC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAKyoC,GAAG,SAAS,CAAC,CAAC,EAAEC,GAAG,cAAc,KAAK,CAAC,YAAY1oC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAO,eAAe,KAAK0oC,GAAG,SAAS,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,YAAY3oC,EAAE,CAAC,KAAK,WAAWA,GAAG,IAAI,KAAK,MAAM,IAAI,GAAG,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAK,MAAM,IAAIU,CAAC,IAAIV,EAAE,KAAK,MAAM,IAAIU,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,EAAE,KAAK,MAAM,IAAIA,EAAEV,CAAC,GAAGA,CAAC,CAAC,IAAIU,EAAEV,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIU,CAAC,EAAE,KAAK,MAAM,OAAOA,CAAC,UAAU,KAAK,MAAM,MAAM,KAAK,WAAW,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,MAAM,IAAIA,EAAEV,CAAC,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,UAAU,CAAC,cAAcU,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,4DAA4DA,IAAI,EAAE,GAAG,KAAK,WAAWA,EAAE,QAAQV,EAAE,EAAEA,EAAE,KAAK,WAAWU,EAAEV,IAAI,CAAC,IAAI,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,EAAE,MAAM,KAAK,MAAM,OAAO,CAAC,CAAC,CAAC,KAAK,WAAWU,CAAC,CAAC,EAAE,SAAS4oC,GAAGxpC,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAIF,EAAEA,EAAE,OAAOF,CAAC,EAAE,OAAOE,CAAC,KAAK,CAAC,IAAIA,EAAE,IAAI,MAAM,CAAC,EAAE,OAAOA,EAAE,KAAKF,CAAC,EAAEE,CAAC,CAAC,CAAC,SAASupC,GAAGzpC,EAAE,EAAE,CAAC,GAAG,CAACA,EAAE,MAAM,IAAIspC,GAAG,CAAC,CAAC,CAAC,SAASI,GAAG1pC,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,QAAQE,KAAKJ,EAAEI,IAAI,GAAGF,IAAI,OAAOA,CAAC,CAAC,SAASypC,GAAG3pC,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAEA,EAAE,CAAC,EAAEA,CAAC,CAAC,SAAS4pC,GAAG5pC,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAAS6pC,GAAG7pC,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,uBAAuB,OAAO,EAAE,QAAQ,kBAAkB,OAAO,EAAE,YAAY,EAAE,OAAOE,EAAE,CAAC,IAAI,IAAIA,EAAE,UAAUA,CAAC,CAAC,SAAS4pC,GAAG9pC,EAAE,CAAC,OAAOA,EAAE,QAAQ,GAAGA,EAAE,QAAQ,GAAG,IAAI,GAAGA,EAAEA,EAAE,QAAQ,cAAc,CAAC,EAAEE,IAAIA,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI6pC,GAAG,CAAC,EAAE,SAASC,GAAGhqC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC,CAAC,SAASiqC,GAAGjqC,EAAE,CAAC,GAAG,EAAEA,GAAG,MAAM,OAAOA,GAAG,UAAU,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAGiqC,GAAG,CAAC,CAAC,MAAM,CAAC,IAAI,EAAE,OAAO,KAAKjqC,CAAC,EAAE,QAAQE,KAAK,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAEE,GAAG,MAAM,OAAOA,GAAG,WAAW,CAAC,MAAM,QAAQA,CAAC,GAAGA,EAAE,OAAO,WAAW,OAAOA,EAAE,OAAO,SAASJ,EAAEE,CAAC,EAAEE,EAAE,MAAM6pC,GAAG7pC,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS8pC,GAAGlqC,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEE,EAAE,SAASC,EAAE,GAAG,CAAC,GAAG,OAAOL,GAAG,SAAS,CAAC,IAAI,EAAEA,EAAE,EAAE,GAAG,KAAKE,EAAE,EAAEA,EAAE,CAAC,UAAU,KAAK6pC,GAAG,EAAEA,GAAG,CAAC,UAAU,EAAE,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,IAAIX,EAAE,WAAWhpC,MAAMJ;AAAA,SAClykCI;AAAA,gBACOA,mGAAmG,EAAE,OAAO,CAAC,KAAK,CAAC,IAAI,EAAEJ,EAAE,GAAG,EAAE,WAAW,MAAM,EAAE,QAAQ,KAAK,MAAM,IAAIopC,EAAE,GAAGhpC,8BAA8B,KAAK,UAAU,CAAC;AAAA,mCAC1M,EAAE,IAAI,EAAE,EAAE,UAAU2B,EAAEC,EAAE,GAAG,KAAK9B,EAAE,CAAC6B,EAAEC,CAAC,EAAE9B,EAAE,CAAC,EAAE,KAAK6pC,GAAG,CAAChoC,EAAEC,CAAC,EAAE+nC,GAAG,UAAU,KAAK,IAAI,CAAChoC,EAAEC,CAAC,EAAE,EAAE,CAAC,GAAGD,GAAG,KAAK,MAAM,IAAIqnC,EAAE,WAAWhpC,MAAM;AAAA,SAC5JA;AAAA,gBACOA,mGAAmG,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQY,KAAK,OAAO,KAAKknC,EAAE,EAAE9nC,EAAEY,CAAC,EAAEknC,GAAGlnC,CAAC,EAAE,QAAQA,KAAK,OAAO,KAAK3C,CAAC,EAAE+B,EAAEY,CAAC,EAAE3C,EAAE2C,CAAC,EAAE,IAAIH,EAAE,EAAE,OAAOA,EAAE,cAAcT,EAAE,IAAIU,EAAE,OAAO,OAAO,CAAC,EAAEonC,EAAE,EAAE,QAAQlnC,KAAK,OAAO,KAAK3C,CAAC,EAAE6pC,GAAGlnC,CAAC,EAAE3C,EAAE2C,CAAC,EAAEonC,GAAG,EAAE,MAAM,EAAE,IAAIrnC,EAAEZ,EAAED,EAAE,EAAE,OAAO7B,EAAEG,CAAC,EAAE,OAAO0pC,GAAG,OAAO,OAAO,CAAC,EAAEpnC,CAAC,EAAEC,CAAC,KAAK,CAAC,IAAIX,EAAE,OAAO,OAAO,CAAC,EAAE8nC,EAAE,EAAE,QAAQpnC,KAAK,OAAO,KAAKzC,CAAC,EAAE6pC,GAAGpnC,CAAC,EAAEzC,EAAEyC,CAAC,EAAE,IAAID,EAAE,IAAIX,EAAE,EAAE,MAAM,EAAE,OAAOgoC,GAAG,OAAO,OAAO,CAAC,EAAE9nC,CAAC,EAAES,CAAC,CAAC,CAAC,CAAC,SAASynC,GAAGnqC,EAAE,EAAE,CAAC,OAAOA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,CAAC,SAASoqC,GAAGpqC,EAAE,EAAE,CAAC,MAAM,GAAGmqC,GAAGnqC,EAAE,CAAC,CAAC,CAAC,SAASqqC,GAAGrqC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,QAAQE,CAAC,IAAI,IAAI,EAAE,KAAKA,CAAC,EAAE,OAAO,CAAC,CAAC,SAASoqC,GAAGtqC,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAIopC,EAAE,yBAAyB,KAAK,UAAUppC,CAAC,GAAG,EAAE,QAAQ,KAAKA,EAAE,GAAGA,EAAE,eAAe,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,CAAC,SAASuqC,GAAGvqC,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,MAAMF,EAAE,QAAQE,CAAC,EAAE,EAAE,MAAM,IAAIkpC,EAAE,GAAGlpC,oBAAoB,wBAAwBF,sBAAsB,CAAC,CAAC,SAASwqC,GAAGxqC,EAAE,EAAEE,EAAE,EAAEE,EAAE,EAAE,EAAE,CAAC,OAAOqpC,GAAGvpC,GAAG,CAAC,EAAEupC,GAAGrpC,GAAGF,CAAC,EAAE,MAAM,QAAQF,CAAC,GAAGA,EAAE,QAAQE,GAAGF,EAAE,QAAQI,GAAGJ,EAAE,MAAMK,GAAG,OAAOA,IAAI,CAAC,CAAC,CAAC,SAASoqC,GAAGzqC,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,GAAGxB,EAAE,OAAOwB,EAAE,OAAO,EAAE,IAAI,GAAG,mCAAmC,EAAEA,EAAE,QAAQ,CAACE,EAAEE,IAAIqqC,GAAGvqC,EAAE,WAAWE,EAAE,QAAQ,GAAG,CAAC,GAAG5B,EAAE,OAAO,OAAO,UAAUwB,CAAC,GAAGA,EAAE,EAAE,IAAI,YAAY,uCAAuC0qC,GAAG1qC,CAAC,IAAI,CAAC,CAAC,SAAS0qC,GAAG1qC,EAAE,CAAC,OAAOA,IAAI,KAAK,OAAO,MAAM,QAAQA,CAAC,EAAE,IAAIA,EAAE,IAAI,GAAG0qC,GAAG,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,IAAI,OAAO1qC,GAAG,SAAS,IAAIA,KAAK,GAAGA,GAAG,CAAC,SAAS2qC,GAAG3qC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,GAAG,KAAKA,EAAE,EAAE1B,EAAE,IAAI,EAAE6B,EAAE,MAAM,IAAIyB,IAAI,CAAC,IAAIC,EAAE7B,GAAG,KAAKA,EAAE,EAAE1B,EAAE,IAAI,EAAE,OAAOuD,EAAE3B,EAAE,IAAIA,EAAE2B,EAAE1B,EAAEL,EAAE,GAAG8B,CAAC,GAAGzB,CAAC,CAAC,CAAC,SAASuqC,GAAG5qC,EAAE,CAAC,OAAOA,IAAI,OAAO,OAAOA,IAAI,SAAS,SAASA,IAAI,MAAM,MAAM,IAAI,CAAC,IAAI6qC,GAAG,EAAE,SAASC,IAAI,CAAC,OAAOD,IAAI,CAAC,IAAIE,GAAG,CAAC,EAAE,SAASC,GAAGhrC,EAAE,GAAG,CAAC,OAAOA,KAAK+qC,KAAKA,GAAG/qC,CAAC,EAAE,GAAG+qC,GAAG/qC,CAAC,GAAG,EAAEA,EAAE+qC,GAAG/qC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIirC,GAAG,CAAC,gBAAgB,cAAc,EAAEC,GAAG,CAAC,UAAU,UAAU,EAAEC,GAAG,CAAC,QAAQ,OAAO,QAAQ,EAAEC,GAAG,CAAC,MAAM,KAAK,EAAEC,GAAG,CAAC,MAAM,MAAM,SAAS,KAAK,EAAMC,GAAG,IAAI,IAAI,SAASC,GAAGvrC,EAAE,CAACuqC,GAAGU,GAAG,aAAajrC,CAAC,CAAC,CAAC,SAASwrC,GAAGxrC,EAAE,CAACuqC,GAAGW,GAAG,sBAAsBlrC,CAAC,CAAC,CAAC,SAASyrC,GAAGzrC,EAAE,CAACuqC,GAAGY,GAAG,cAAcnrC,CAAC,CAAC,CAAC,SAAS0rC,GAAG1rC,EAAE,CAACuqC,GAAGa,GAAG,WAAWprC,CAAC,CAAC,CAAC,IAAI2rC,GAAG,CAAC,EAAEC,GAAG,IAAI,SAASC,GAAG7rC,EAAE,EAAE,CAAC2rC,GAAG,KAAK3rC,CAAC,EAAE,GAAG,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOyrC,GAAG,IAAI,EAAEzrC,CAAC,OAAOA,EAAN,CAAS,MAAMyrC,GAAG,IAAI,EAAEzrC,CAAC,CAAC,CAAC,SAAS4rC,IAAI,CAAC,OAAOH,GAAG,SAAS,EAAE,GAAGA,GAAG,KAAKC,EAAE,EAAEA,EAAE,CAAC,SAASG,GAAG/rC,EAAE,CAAC,GAAG,CAACgsC,GAAGhsC,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAE,OAAO8rC,GAAG,EAAE9rC,CAAC,CAAC,SAASisC,GAAGjsC,EAAE,CAAC,GAAG,CAACgsC,GAAGhsC,CAAC,EAAE,MAAM,IAAI,MAAM,6BAA6BA,EAAE,GAAG,EAAEsrC,GAAG,IAAItrC,CAAC,GAAGsrC,GAAG,IAAItrC,EAAE,CAAC,EAAE,IAAI,EAAEsrC,GAAG,IAAItrC,CAAC,EAAE,GAAGsrC,GAAG,IAAItrC,EAAEsrC,GAAG,IAAItrC,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAIE,EAAE,GAAGF,KAAK,IAAI,OAAOsrC,GAAG,IAAIprC,EAAE,CAAC,EAAEA,CAAC,KAAM,QAAOF,CAAC,CAAC,IAAIksC,GAAG,IAAI,OAAO,iCAAiC,EAAE,SAASF,GAAGhsC,EAAE,CAAC,MAAM,CAAC,CAACA,EAAE,MAAMksC,EAAE,CAAC,CAAC,SAASC,GAAGnsC,EAAE,CAAC,OAAOA,IAAI,SAASA,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,SAASosC,GAAGpsC,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAO,EAAE,GAAGA,GAAG,OAAOA,EAAEF,EAAE,QAAQ,IAAII,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAED,GAAGJ,EAAEK,CAAC,EAAE,OAAOD,CAAC,CAAC,SAASisC,GAAGrsC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAEE,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAASksC,GAAGtsC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,OAAO,IAAI,IAAI,EAAE,OAAO,kBAAkB,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAEE,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,SAASmsC,GAAGvsC,EAAE,EAAE,CAAC,GAAG,EAAEA,EAAE,MAAM,IAAIopC,EAAE,QAAQ,eAAeppC,kBAAkB,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAEJ,EAAEI,EAAE,EAAE,EAAEA,EAAEF,EAAE,KAAKE,CAAC,EAAE,OAAOF,CAAC,CAAC,IAAIssC,GAAG,SAASC,IAAI,CAAC,OAAOD,IAAI,OAAOA,GAAGz+C,GAAG,EAAE,QAAQ,GAAGy+C,EAAE,CAAC,SAASE,IAAI,CAAC,MAAM,cAAc,CAAC,SAASC,GAAG3sC,EAAE,EAAE,CAAC,OAAOjR,GAAEiR,EAAE,CAAC,CAAC,CAAC,SAAS4sC,GAAG5sC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,MAAM,MAAM,EAAE,OAAO,EAAE,IAAI,EAAEE,EAAE,OAAO,EAAE,GAAGA,EAAE,OAAO,EAAE,EAAE,CAAC,EAAExG,EAAEsG,EAAEE,CAAC,CAAC,CAAC,SAAS2sC,GAAG7sC,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,GAAGsC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,yDAAyDppC,EAAE,MAAM,gBAAgB,EAAE,IAAIE,EAAE0sC,GAAG5sC,EAAE,CAAC,EAAE,OAAO8sC,GAAG5sC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS6sC,GAAG/sC,EAAE,CAAC,IAAI,EAAE,CAACosC,GAAGpsC,EAAE,KAAK,CAAC,EAAE,OAAOtG,EAAEsG,EAAE,CAAC,CAAC,CAAC,SAASgtC,GAAGhtC,EAAE,CAAC,GAAGA,EAAE,MAAM,EAAE,MAAM,IAAIopC,EAAE,wDAAwDppC,EAAE,OAAO,EAAE,IAAI,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEosC,GAAGpsC,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOtG,EAAEsG,EAAE,CAAC,CAAC,CAAC,SAASitC,GAAGjtC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGuE,EAAE,CAAC,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOtE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOrE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGyE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGyE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAACE,EAAEF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,IAAIopC,EAAE,8DAA8DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASktC,GAAGltC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOzE,GAAGuE,EAAE,CAAC,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOxE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOvE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEE,CAAC,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,6DAA6DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASmtC,GAAGntC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO1C,EAAE,IAAI,CAAC,OAAOsC,EAAE,KAAK,CAAC,IAAK,GAAE,OAAOxE,GAAGwE,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOE,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOgtC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOxE,GAAGsE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEE,EAAEF,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOktC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,IAAK,GAAE,OAAOA,EAAE,CAAC,IAAK,GAAE,OAAO6sC,GAAGjtC,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOvE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEE,EAAEF,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOrE,GAAGqE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEE,EAAEF,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,IAAK,GAAE,OAAOktC,GAAGltC,EAAE,EAAEE,CAAC,EAAE,QAAQ,MAAM,IAAIkpC,EAAE,iDAAiDhpC,GAAG,CAAC,CAAC,QAAQ,MAAM,IAAIgpC,EAAE,6DAA6DppC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,SAASotC,GAAGptC,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAE,OAAO,EAAE,IAAIA,EAAEF,EAAE,CAAC,EAAE,KAAKE,IAAI,EAAE,EAAEA,EAAE,EAAE,GAAG,IAAIF,EAAE,CAAC,EAAE,OAAO,EAAE,IAAI5Q,GAAG4Q,EAAE,CAAC,CAAC,CAAC,SAASqtC,GAAGrtC,EAAE,EAAE,CAAC,OAAOA,EAAE,KAAK,CAAC,IAAK,GAAE,OAAO3Q,GAAG,CAAC2Q,EAAE,CAAC,CAAC,EAAE,IAAK,GAAE,OAAO1Q,GAAG,CAAC0Q,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOzQ,GAAG,CAACyQ,EAAE,CAAC,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOxQ,GAAG,CAACwQ,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAIopC,EAAE,+DAA+DppC,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS8sC,GAAG9sC,EAAE,EAAE,CAAC,GAAG,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGA,EAAE,OAAO,EAAE,OAAO,MAAM,IAAIopC,EAAE,0BAA0B,EAAE,+DAA+DppC,EAAE,OAAO,EAAE,OAAOrC,GAAGqC,EAAE,CAAC,CAAC,CAAC,SAASstC,GAAGttC,EAAE,EAAE,EAAEE,EAAE,EAAEE,EAAEC,EAAE,CAAC,OAAO3H,GAAGsH,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,SAASktC,GAAGvtC,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,EAAE,KAAK,GAAG,EAAE,KAAK,EAAE,MAAM,IAAIqpC,GAAG,8DAA8DrpC,EAAE,uBAAuB,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,EAAE,CAAC,IAAIK,EAAEL,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,GAAGK,IAAI,EAAE,MAAM,IAAIgpC,GAAG,gGAAgGrpC,EAAE,wBAAwB,EAAE,OAAO,CAAC,CAAC,GAAGA,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,OAAOrN,GAAG,OAAO,CAAC,EAAEqN,EAAE,EAAE,EAAE,WAAW,GAAG,WAAW,GAAG,KAAKI,EAAEotC,GAAGxtC,EAAE,KAAKI,EAAEssC,GAAG,CAAC,EAAE,KAAK,WAAWxsC,CAAC,CAAC,EAAE,CAAC,IAAIG,EAAEL,EAAE,MAAM,MAAM,EAAE,EAAEK,EAAE,IAAI,EAAEL,EAAEtG,EAAEsG,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,MAAM,MAAM,EAAE+B,EAAE,EAAE,IAAI,EAAEC,EAAE,EAAE,IAAI,EAAEC,EAAE,CAAC,GAAG,EAAEF,CAAC,EAAEW,EAAE,MAAM,KAAK,CAAC,OAAO,EAAE,IAAI,EAAE,CAACI,EAAEkB,IAAIA,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,EAAE,KAAK,EAAEA,EAAE,EAAEA,CAAC,EAAE,EAAEtK,EAAEqE,GAAG,EAAE2E,CAAC,EAAE,CAACV,EAAE,EAAE,CAAC,EAAE,IAAIW,EAAE,CAAC,GAAGtC,EAAE,GAAG4B,CAAC,EAAEW,EAAE,GAAGC,EAAE,GAAG,OAAOnJ,EAAE/G,GAAG,OAAO,CAAC,EAAEqN,EAAE,EAAE,EAAE,WAAW4C,EAAE,WAAWC,EAAE,KAAKzC,EAAEotC,GAAGxtC,EAAE,KAAKI,EAAEssC,GAAG,CAAC,EAAE,KAAK,WAAWxsC,CAAC,CAAC,EAAEyC,CAAC,CAAC,CAAC,CAAC,SAAS8qC,GAAGztC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAE,EAAER,GAAG,EAAE,OAAO,EAAE,EAAEnO,GAAE,EAAE,OAAO,EAAE6D,GAAGoN,EAAE,EAAEE,CAAC,EAAE,CAAC,CAAC,SAASwtC,GAAG1tC,EAAE,CAAC,OAAOlJ,EAAEkJ,EAAEA,CAAC,CAAC,CAAC,SAASwtC,GAAGxtC,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,MAAM,GAAG,EAAE,OAAO,GAAG,EAAE,OAAOJ,EAAE,MAAM,IAAIopC,EAAE,+BAA+B,EAAE,gCAAgCppC,GAAG,EAAE,GAAGA,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE0G,EAAE,CAAC,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE0G,EAAE,CAAC,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,IAAI,EAAE,CAAC,GAAGE,IAAI,gBAAgB,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,EAAE0G,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,EAAE,GAAGF,IAAI,eAAe,OAAOE,EAAE,SAAS,EAAE1G,EAAE,EAAE,CAAC,EAAE,EAAE0G,EAAE,CAAC,CAAC,CAAC,EAAE1G,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO0G,CAAC,CAAC,CAAC,SAASJ,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,sCAAsC,EAAE,MAAM,CAAC,CAAC,SAASuE,GAAG3tC,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,KAAKwC,GAAG,OAAOA,EAAEwsC,GAAG,GAAGnB,GAAGrrC,CAAC,EAAEhT,EAAE8S,EAAEwtC,GAAGxtC,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,CAAC,CAAC,SAAS0tC,GAAG5tC,EAAE,EAAE,EAAE,CAAC,GAAG,IAAI,EAAE,MAAM,IAAIqpC,GAAG,0CAA0C,4BAA4B,EAAE,OAAO93C,GAAGyO,CAAC,CAAC,CAAC,SAAS6tC,GAAG7tC,EAAE,CAAC,OAAOtC,EAAE,IAAIxM,GAAG8O,EAAE9S,EAAEH,GAAGiT,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8tC,GAAG9tC,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO1C,EAAE,IAAIrM,GAAG2O,EAAE,EAAEE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAAS2tC,GAAG/tC,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAI,EAAExQ,EAAE,GAAG4J,EAAE,GAAGkJ,CAAC,CAAC,EAAE,OAAO/Q,GAAG,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS++C,GAAGhuC,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOA,EAAEF,EAAE,EAAE,EAAE,CAAC,CAAC,IAAIiuC,GAAG,CAAC,QAAQ,SAAS,QAAQ,EAAEC,GAAG,CAAC,SAAS,UAAU,iBAAiB,EAAE,SAASC,GAAGnuC,EAAE,CAACuqC,GAAG0D,GAAG,UAAUjuC,CAAC,CAAC,CAAC,SAASouC,GAAGpuC,EAAE,CAACuqC,GAAG2D,GAAG,eAAeluC,CAAC,CAAC,CAAC,IAAIquC,GAAG,cAAc3zC,GAAE,YAAY,CAAC,6BAA6B,CAAC,MAAM,EAAE,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE4zC,GAAG,cAAcD,EAAE,CAAC,MAAMztC,EAAEV,EAAE,CAAC,OAAOX,GAAGqB,EAAEV,CAAC,CAAC,CAAC,EAAEouC,GAAG,UAAU,QAAQ5zC,GAAE,cAAc4zC,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMztC,EAAEV,EAAE,CAAC,OAAO5I,GAAGsJ,EAAEV,CAAC,CAAC,CAAC,EAAEquC,GAAG,UAAU,OAAO7zC,GAAE,cAAc6zC,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAE,OAAOA,GAAG,SAAS,MAAM,IAAIwoC,EAAE,oDAAoDxoC,GAAG,EAAE,GAAGA,EAAE,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,sCAAsCxoC,GAAG,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI5G,EAAEqD,GAAG,KAAK,KAAK,EAAE7C,GAAGsJ,EAAEV,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,CAAC,CAAC,EAAEsuC,GAAG,UAAU,WAAW9zC,GAAE,cAAc8zC,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,KAAK,eAAe,IAAI,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOtH,GAAGgI,EAAE,KAAK,OAAO,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEuuC,GAAG,UAAU,gBAAgB/zC,GAAE,cAAc+zC,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,uCAAuCnpC,IAAI,EAAE,OAAOotC,GAAG1sC,EAAE,KAAK,KAAK,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwuC,GAAG,UAAU,eAAeh0C,GAAE,cAAcg0C,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,IAAI,KAAK,KAAKA,EAAE,MAAM,KAAK,aAAa,KAAK,OAAOA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAKA,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,GAAGA,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,0CAA0CnpC,IAAI,EAAE,OAAOlC,GAAG4C,EAAE,KAAK,KAAK,KAAK,OAAOV,EAAE,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEyuC,GAAG,UAAU,kBAAkBj0C,GAAE,cAAci0C,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAYztC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,CAAC,CAAC,MAAMA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,SAAS,GAAGA,EAAE,CAAC,IAAIA,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,sEAAsE,EAAE,OAAOtyC,EAAE,KAAK,KAAK3E,GAAGyO,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEguC,GAAG,UAAU,WAAWl0C,GAAE,cAAck0C,EAAE,EAAE,SAASC,GAAG7uC,EAAE,EAAE,eAAe,CAAC,IAAIE,EAAEE,EAAE,GAAGmrC,GAAG,CAAC,EAAEvrC,EAAE,SAAS,EAAEE,EAAEF,EAAE,CAAC,EAAEI,EAAEJ,EAAE,CAAC,UAAU,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,MAAM,IAAI,IAAI,GAAG,IAAI,gBAAgB,CAAC,IAAIK,EAAE+rC,GAAGpsC,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEK,EAAED,EAAEJ,EAAE,CAAC,EAAEK,CAAC,SAAS,IAAI,eAAe,CAAC,IAAIA,EAAE+rC,GAAGpsC,EAAE,EAAEA,EAAE,OAAO,CAAC,EAAEE,EAAEF,EAAEA,EAAE,OAAO,CAAC,EAAEK,EAAED,EAAEJ,EAAEA,EAAE,OAAO,CAAC,EAAEK,CAAC,MAAM,CAAC,IAAIA,EAAE+rC,GAAGpsC,CAAC,EAAEE,EAAE,KAAK,KAAKG,CAAC,EAAED,EAAE,KAAK,KAAKC,CAAC,CAAC,CAAC,MAAM,CAACH,EAAEE,CAAC,CAAC,CAAC,IAAI0uC,GAAG,cAAcT,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAEA,EAAE,MAAM,EAAE,MAAM,IAAIwoC,EAAE,wCAAwCxoC,EAAE,OAAO,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAKA,EAAE,MAAM,KAAK,QAAQA,EAAE,KAAKutC,GAAG,KAAK,IAAI,EAAE,KAAK,aAAavtC,EAAE,cAAc,KAAK,SAASA,EAAE,aAAawtC,GAAG,KAAK,YAAY,EAAE,KAAK,KAAKxtC,EAAE,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAAC,IAAI,EAAE2uC,GAAGjuC,CAAC,EAAEP,EAAE,EAAE,CAAC,EAAEwB,EAAE,EAAE,CAAC,EAAEC,EAAE,KAAK,MAAM,GAAG,KAAK,OAAO,QAAQA,GAAG,KAAK,IAAI,EAAEzB,CAAC,EAAE,KAAK,OAAO,SAASyB,GAAG,KAAK,IAAI,EAAED,CAAC,EAAEC,GAAG,KAAK,IAAI,GAAGzB,EAAEwB,GAAG,CAAC,EAAE,KAAK,eAAe,SAAS,CAAC,IAAIE,EAAE,KAAK,KAAKD,CAAC,EAAE,GAAG5B,EAAEA,GAAG,UAAUA,IAAI,WAAWA,IAAI,QAAQ,MAAM,IAAImpC,GAAG,GAAG,KAAK,aAAa,4BAA4BnpC,IAAI,EAAE,OAAOlC,GAAG4C,EAAE,EAAEmB,EAAE7B,EAAE,KAAK,IAAI,CAAC,KAAK,CAAC,IAAI6B,EAAE,KAAK,KAAK,EAAED,CAAC,EAAE,OAAOlJ,GAAGgI,EAAE,CAACmB,EAAEA,EAAE7B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,KAAK,MAAM,KAAK,KAAK,KAAK,aAAa,KAAK,aAAa,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE4uC,GAAG,UAAU,kBAAkBp0C,GAAE,cAAco0C,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEC,GAAG,UAAU,gBAAgBr0C,GAAE,cAAcq0C,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,SAAS,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEE,GAAG,UAAU,eAAet0C,GAAE,cAAcs0C,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEG,GAAG,UAAU,WAAWv0C,GAAE,cAAcu0C,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEI,GAAG,UAAU,YAAYx0C,GAAE,cAAcw0C,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,SAAS,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEK,GAAG,UAAU,cAAcz0C,GAAE,cAAcy0C,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYluC,EAAE,CAAC,MAAM,CAAC,MAAM,EAAE,KAAK,QAAQ,aAAa,UAAU,KAAKA,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,CAAC,CAAC,cAAc,CAAC,OAAOkuC,GAAG,SAAS,CAAC,EAAEM,GAAG,UAAU,eAAe10C,GAAE,cAAc00C,EAAE,EAAE,IAAIC,GAAG,cAAchB,EAAE,CAAC,YAAYztC,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,MAAM,IAAIyoC,GAAG,gEAAgE,CAAC,CAAC,MAAMzoC,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,OAAO,EAAE,MAAM,IAAIyoC,GAAG,4BAA4B,EAAEzoC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,KAAK,QAAQ,KAAK,2EAA2EA,EAAE,CAAC,EAAEA,EAAE,CAAC,mCAAmC,EAAE,IAAI,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEA,EAAEP,EAAEitC,GAAG,EAAE,EAAE,EAAE,SAAS,EAAEzrC,EAAEnN,GAAG,YAAY2L,CAAC,EAAE,OAAOO,EAAE,CAAC,EAAEA,EAAE,CAAC,IAAIiB,EAAE9D,GAAG8D,CAAC,GAAG/K,EAAE,KAAK,KAAK+K,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEwtC,GAAG,UAAU,aAAa30C,GAAE,cAAc20C,EAAE,EAAE,IAAIC,GAAG,CAAC,SAAS,WAAW,aAAa,eAAe,cAAc,gBAAgB,SAAS,WAAW,UAAU,YAAY,SAAS,WAAW,YAAY,cAAc,aAAa,eAAe,KAAK,OAAO,WAAW,aAAa,aAAa,eAAe,cAAc,gBAAgB,gBAAgB,kBAAkB,gBAAgB,kBAAkB,MAAM,OAAO,EAAE,SAASC,GAAGvvC,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS80C,GAAGxvC,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASyvC,GAAGzvC,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAI,EAAEA,KAAKsvC,GAAGA,GAAGtvC,CAAC,EAAEA,EAAE,GAAG,IAAI,eAAe,OAAO,IAAIgvC,GAAG,GAAG,IAAI,gBAAgB,OAAO,IAAID,GAAG,GAAG,IAAI,WAAW,OAAO,IAAIE,GAAG,GAAG,IAAI,YAAY,OAAO,IAAIC,GAAG,GAAG,IAAI,cAAc,OAAO,IAAIC,GAAG,GAAG,IAAI,eAAe,OAAO,IAAIC,GAAG,CAAC,IAAIlvC,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAEA,EAAE,OAAO,CAAC,EAAEqvC,GAAGrvC,CAAC,CAAC,CAAC,KAAM,QAAOF,aAAaquC,GAAGruC,EAAEuvC,GAAGvvC,CAAC,CAAC,CAAC,SAAS0vC,GAAG1vC,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2vC,GAAG3vC,EAAE,CAAC,OAAOA,EAAE,SAAS,EAAE,CAAC,EAAE,MAAM,QAAQA,EAAE,CAAC,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,SAAS4vC,GAAG5vC,EAAE,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIopC,EAAE,uCAAuCppC,EAAE,QAAQ,EAAE,EAAEA,EAAE,CAAC,CAAC,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,SAAS6vC,GAAG7vC,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAOA,EAAEA,EAAEA,EAAE,CAAC,EAAE,MAAM,IAAIopC,EAAE,iCAAiCppC,EAAE,QAAQ,CAAC,KAAM,QAAOA,CAAC,CAAC,SAAS8vC,GAAG9vC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQE,KAAKF,EAAEE,EAAE,MAAM,SAAS,EAAE,GAAG,EAAE,GAAGA,EAAE,MAAM,OAAO,CAACE,EAAEC,IAAID,EAAEC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAI0vC,GAAG,WAAWlqD,GAAG,KAAK,CAAC,YAAY+a,EAAEV,EAAE,UAAU,EAAE6vC,GAAG1vC,EAAE,GAAGwB,EAAE,KAAK,CAAC,KAAK,MAAM3B,GAAG,KAAK,UAAUA,EAAE,KAAK,MAAMU,EAAE,MAAM,KAAK,GAAGkqC,GAAG,EAAE,EAAE,GAAG,KAAKiF,GAAG,EAAE,KAAK,aAAahE,GAAG,CAAC,EAAE,KAAK,KAAKE,GAAG,KAAK,YAAY,EAAE,KAAK,WAAW5rC,EAAE,KAAK,WAAWwB,EAAE,KAAK,IAAIlD,GAAGiC,EAAE,KAAK,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,kBAAkB,EAAE,KAAK,GAAG,CAAC,MAAMA,EAAE,CAAC,OAAO,KAAK,kBAAkB,EAAEovC,GAAG,KAAK,IAAIpvC,CAAC,EAAE,KAAK,IAAI,KAAKA,EAAE,KAAK,KAAK,IAAI,OAAOA,CAAC,EAAE,KAAK,YAAY,MAAM,KAAK,IAAI,OAAO,KAAK,WAAW,MAAM,KAAK,GAAG,CAAC,GAAG,IAAI,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,KAAK,IAAI,QAAQ,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,IAAI,WAAW,MAAM,IAAI,MAAM,kBAAkB,KAAK,2BAA2B,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,IAAI,UAAUA,CAAC,CAAC,EAAE,SAASovC,GAAGhwC,EAAE,EAAE,CAAC,GAAGA,EAAE,MAAM,SAAS,IAAI,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,mBAAmB,KAAK,UAAUA,EAAE,KAAK,EAAE,QAAQ,KAAK,UAAU,EAAE,KAAK,CAAC,CAAC,CAAC,SAASiwC,GAAGjwC,EAAE,CAAC,OAAOA,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,CAAC,CAAC,SAASkwC,GAAGlwC,EAAE,CAACA,EAAE,QAAQ,GAAG,CAAC,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI1a,GAAG,KAAK,CAAC,YAAYsb,EAAE,CAAC,KAAK,MAAMA,EAAE,MAAM,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,KAAKA,EAAE,KAAK,KAAK,QAAQA,EAAE,QAAQ,KAAK,QAAQA,EAAE,QAAQ,KAAK,KAAKA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE7U,GAAG,KAAK,CAAC,YAAY6U,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,MAAMnB,EAAE,KAAK,MAAMV,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOG,EAAE,KAAK,SAASwB,EAAE,KAAK,kBAAkBE,EAAE,KAAK,GAAG+oC,GAAG,EAAEhpC,GAAG,OAAO,KAAK,aAAaiqC,GAAGjqC,CAAC,EAAE,KAAK,KAAKmqC,GAAG,KAAK,YAAY,GAAG,KAAK,KAAK/rC,EAAE,MAAM,CAAC,EAAEiwC,GAAG,EAAEC,GAAG,KAAK,CAAC,YAAYxvC,EAAEV,EAAE,CAAC,KAAK,SAASA,EAAE,KAAK,GAAGiwC,KAAK,KAAK,cAAcvvC,EAAE,cAAc,KAAK,cAAcA,EAAE,cAAc,KAAK,YAAYA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,aAAaA,EAAE,aAAa,KAAK,cAAcA,EAAE,cAAc,KAAK,WAAWA,EAAE,WAAW,KAAK,YAAYA,EAAE,YAAY,KAAK,YAAYA,EAAE,YAAY,KAAK,aAAaA,EAAE,aAAa,QAAQ,KAAKA,EAAE,cAAc,GAAG,MAAM,EAAE,cAAc,KAAK,IAAI,EAAEA,EAAE,cAAc,aAAa,KAAK,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,cAAcA,GAAG,KAAKU,EAAE,KAAKV,EAAE,IAAI,EAAEU,EAAE,KAAK,IAAI,EAAE,MAAM,CAAC,cAAc,KAAK,cAAc,KAAK,cAAc,KAAK,KAAK,cAAcA,EAAE,YAAY,KAAK,YAAY,cAAc,KAAK,aAAa,CAAC,CAAC,EAAEyvC,GAAG,EAAEC,GAAG,cAAc51C,GAAE,YAAY,CAAC,YAAYkG,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,KAAK,kBAAkB,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,GAAGyvC,KAAK,KAAK,oBAAoB,KAAK,KAAK,UAAU,KAAK,KAAK,gBAAgB,GAAG,KAAK,kBAAkB,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,OAAO,GAAG,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,EAAE,IAAInwC,EAAEU,EAAE,KAAK,GAAG,CAACV,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa,EAAEA,EAAE2pC,GAAG,CAAC,EAAE,IAAImB,GAAG,CAAC,CAAC,CAAC,GAAG,KAAK,KAAK9qC,EAAE,KAAK,WAAWU,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAUA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,GAAGA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,wBAAwBA,EAAE,YAAY,KAAK,CAAC,IAAIiB,EAAE,KAAKjB,EAAE,WAAW,OAAOiB,EAAEjB,EAAE,WAAW,EAAE,CAACiB,CAAC,EAAE,OAAOjB,EAAE,UAAU,CAAC,CAAC,KAAK,gBAAgB,EAAE,IAAIP,EAAEO,EAAE,MAAMP,GAAG,OAAOA,EAAEO,EAAE,YAAYP,GAAG,OAAOA,EAAE,WAAW,KAAK,MAAMA,CAAC,CAACO,EAAE,SAAS,KAAK,KAAK,eAAeA,EAAE,QAAQ,KAAK,eAAe,KAAK,KAAK,UAAU,KAAK,KAAK,0BAA0B,EAAE,CAAC,OAAO,QAAQA,EAAEV,EAAE,CAAC,OAAOU,EAAE,KAAK,OAAOV,EAAE,SAAS,CAAC,CAAC,eAAeU,EAAEV,EAAE,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIipC,GAAG,2DAA2DjpC,IAAI,EAAE,GAAG,KAAK,aAAa,QAAQU,EAAE,MAAM,IAAIwoC,EAAE,gBAAgBlpC,aAAaU,6BAA6B,KAAK,aAAa,uBAAuB,EAAE,OAAO,KAAK,aAAaA,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,OAAO+oC,GAAG,KAAK,eAAe/oC,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,YAAYA,EAAE,CAAC,OAAO+oC,GAAG,KAAK,eAAe/oC,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,OAAO,CAAC,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIsoC,GAAG,SAAS,KAAK,2HAA2H,EAAE,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,4CAA4C,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,OAAO,EAAE,YAAY,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIT,GAAG,SAAS,KAAK,4BAA4B,EAAE,GAAG,KAAK,aAAa,OAAO,EAAE,MAAM,IAAIA,GAAG,SAAS,KAAK,6HAA6H,EAAE,OAAOS,GAAG,KAAK,eAAe,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,iBAAiB,CAAC,OAAO,KAAK,OAAO,IAAI/oC,GAAGA,EAAE,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,OAAO,CAAC,OAAO,KAAK,MAAM,CAAC,IAAI,MAAMA,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,kBAAkB,QAAQV,GAAGA,EAAE,UAAUU,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,WAAW,KAAK,kBAAkB,OAAOA,GAAGA,EAAE,SAAS,EAAE,CAAC,CAAC,CAAC,IAAI,iBAAiBA,EAAE,CAAC,KAAK,kBAAkBA,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,kBAAkB,OAAOA,GAAG,CAACA,EAAE,SAAS,EAAE,OAAO,KAAK,oBAAoB,EAAE,KAAK,kBAAkB,OAAO,KAAK,oBAAoB,CAAC,CAAC,IAAI,oBAAoBA,EAAE,CAAC,KAAK,qBAAqBA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,SAAS,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAI,MAAM,sEAAsE,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAGA,EAAEgpC,GAAGhpC,CAAC,EAAE,KAAK,WAAW,MAAM,KAAK,UAAU,SAAS,EAAE,OAAO,IAAIV,EAAE0pC,GAAG,KAAK,SAAS,EAAE,GAAGhpC,EAAE,SAASV,EAAE,OAAO,MAAM,IAAIkpC,EAAE,SAAS,KAAK,gBAAgBlpC,EAAE,kCAAkCU,EAAE,yCAAyCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAI,CAAC,IAAIP,EAAEO,EAAE,CAAC,EAAEiB,EAAE3B,EAAE,CAAC,EAAE,GAAG2B,GAAG,KAAK,SAAS,IAAIC,EAAEzB,EAAE,KAAK,GAAGwB,EAAE,MAAM,MAAMC,IAAID,EAAE,KAAK,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,uBAAuBvnC,EAAE,oBAAoBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,2BAA2BvnC,EAAE,uBAAuBC,GAAG,EAAE,GAAGD,EAAE,SAAS,MAAMC,EAAED,EAAE,QAAQ,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,2BAA2BvnC,EAAE,uBAAuBC,IAAI,EAAE,GAAGD,EAAE,OAAO,MAAMxB,EAAE,QAAQwB,EAAE,MAAM,MAAM,IAAIunC,EAAE,SAAS,gCAAgC,KAAK,yBAAyBvnC,EAAE,sBAAsBxB,EAAE,QAAQ,EAAE,GAAGwB,EAAE,KAAK,CAAC,IAAIE,EAAE1B,EAAE,MAAM,QAAQ2B,KAAKH,EAAE,KAAK,CAAC,IAAI,EAAE,OAAOG,CAAC,EAAEU,EAAEb,EAAE,KAAKG,CAAC,EAAE,EAAE,GAAG,EAAED,EAAE,CAAC,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,GAAGW,GAAG,MAAM,CAACA,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAI,GAAG,MAAM,IAAI0mC,EAAE,SAAS,gCAAgC,KAAK,uBAAuB,kCAAkC1mC,mBAAmBX,IAAI,CAAC,CAAC,CAAC,GAAGF,EAAE,OAAO,KAAK,QAAQE,EAAE,EAAEA,EAAEF,EAAE,MAAM,OAAO,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,MAAME,CAAC,EAAE,EAAE1B,EAAE,MAAM0B,CAAC,EAAE,GAAGC,GAAG,MAAM,GAAG,MAAMA,IAAI,EAAE,MAAM,IAAIonC,EAAE,SAAS,gCAAgC,KAAK,wBAAwBvnC,EAAE,sBAAsBxB,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOU,CAAC,CAAC,eAAeA,EAAEV,EAAE,CAAC,KAAK,WAAW,MAAM,KAAK,UAAUU,EAAEV,CAAC,CAAC,CAAC,YAAYU,EAAE,CAAC,KAAK,UAAUA,CAAC,CAAC,eAAe,CAAC,KAAK,UAAU,IAAI,CAAC,MAAMA,EAAEV,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,KAAK,kBAAkB,EAAE,IAAI,EAAE0pC,GAAGhpC,CAAC,EAAEP,EAAE,GAAG,QAAQyB,KAAK,EAAE,GAAG,EAAEA,aAAa/V,IAAI,CAACsU,EAAE,GAAG,KAAK,CAAC,IAAIwB,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGA,aAAa/V,GAAG,CAAC8V,EAAE,GAAG,KAAK,CAAC,GAAGxB,IAAIwB,EAAE,MAAM,IAAIunC,EAAE,iEAAiE,EAAE,OAAOyC,GAAG,KAAK,KAAK,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,CAAC,KAAK,yBAAyBjrC,CAAC,EAAE,IAAIkB,EAAE,CAAC,EAAE,QAAQC,KAAK6nC,GAAGhpC,CAAC,EAAEkB,EAAE,KAAKC,EAAE,KAAK,EAAE,KAAK,MAAM4nC,GAAG7nC,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,cAAc,EAAE,KAAK,YAAY,MAAMD,IAAI,KAAK,UAAU,EAAE,CAAC,GAAG,KAAK,yBAAyBjB,CAAC,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAKlB,EAAEV,CAAC,EAAE6B,EAAE6nC,GAAG9nC,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQ,KAAKD,EAAE,EAAE,QAAQ,CAAC,IAAI,KAAK,EAAE,EAAE,MAAM,GAAGC,EAAE,KAAK,CAAC,EAAE,GAAGF,EAAE6nC,GAAG3nC,CAAC,EAAE,KAAK,qBAAqB,KAAK,MAAM,IAAIqnC,GAAG,mFAAmF,EAAE,OAAOvnC,CAAC,KAAK,CAAC,IAAIA,EAAEyuC,GAAG3vC,CAAC,EAAEmB,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,EAAEwuC,GAAG5vC,CAAC,EAAE,GAAG,KAAK,6BAA6B,MAAM,QAAQA,CAAC,EAAEkB,EAAE,CAAC,EAAEA,CAAC,EAAEC,GAAG,MAAMA,EAAE,OAAO,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,EAAEC,EAAED,EAAE,IAAI,CAACW,EAAE,IAAI,IAAI3W,GAAG,EAAE2W,EAAE,KAAKknC,GAAGhpC,CAAC,EAAEV,EAAE,KAAK,KAAK,CAAC,CAAC,EAAE8B,EAAE,IAAIjW,GAAG,EAAEgW,EAAE,KAAK6nC,GAAGhpC,CAAC,EAAEV,EAAE,KAAK,IAAI,EAAE,KAAK,eAAeU,EAAEoB,EAAE,KAAK,KAAKF,EAAEC,EAAE7B,CAAC,EAAE,KAAK,YAAY,KAAK,qBAAqB,KAAK,MAAM,IAAImpC,GAAG,mFAAmF,EAAE,OAAOrnC,CAAC,CAAC,CAAC,CAAC,CAAC,6BAA6BpB,EAAE,CAAC,GAAG,KAAK,iBAAiB,KAAK,GAAGA,EAAE,SAAS,KAAK,gBAAgB,OAAO,QAAQ,KAAK,iDAAiD,KAAK,UAAUA,CAAC,kDAAkD,KAAK,UAAU,KAAK,eAAe,mBAAmB,KAAK,MAAM,MAAM,CAAC,IAAIV,EAAE,GAAG,KAAK,gBAAgB,QAAQ,CAAC,EAAEG,IAAI,CAAC,GAAG,MAAMO,EAAEP,CAAC,GAAG,MAAMO,EAAEP,CAAC,IAAI,IAAIH,EAAE,GAAG,CAAC,EAAEA,GAAG,QAAQ,KAAK,kCAAkC,KAAK,UAAUU,CAAC,8CAA8C,KAAK,SAAS,KAAK,UAAU,KAAK,eAAe,GAAG,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,GAAG,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIsoC,GAAG,aAAa,KAAK,kEAAkE,EAAE,IAAItoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,aAAa,CAAC,IAAI,EAAE,KAAK,UAAUA,EAAE,YAAY,EAAEU,EAAE,QAAQ,CAAC,IAAI,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,CAAC,EAAE,aAAa,OAAO,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,GAAGA,EAAE,SAAS,EAAEA,EAAE,CAAC,EAAEA,CAAC,KAAM,OAAM,IAAIgpC,GAAG,aAAa,KAAK,gIAAgI,CAAC,CAAC,aAAa,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIC,GAAG,sCAAsC,KAAK,yFAAyF,EAAE,OAAO2G,GAAG,KAAK,OAAO,CAAC,CAAC,MAAMlvC,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,WAAWA,EAAE,GAAG,CAAC,OAAOqvC,GAAGrvC,EAAE,KAAK,iBAAiB,KAAK,OAAO,CAAC,CAAC,WAAWA,EAAE,CAAClD,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,QAAQ,GAAGA,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,4CAA4C,KAAK,sCAAsCxoC,EAAE,uCAAuCV,EAAE,qCAAqCU,MAAM,EAAE,GAAGV,EAAE,SAAS,EAAE,OAAO,IAAI,EAAE,CAAC,EAAEG,EAAE4vC,GAAG/vC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,CAAC,IAAIC,EAAEzB,EAAEwB,CAAC,EAAEE,EAAE7B,EAAE2B,CAAC,EAAEG,EAAEpB,EAAEiB,CAAC,EAAE,GAAG,CAACrD,EAAE,YAAYsD,EAAE,MAAME,EAAE,KAAK,EAAE,MAAM,IAAIonC,EAAE,sBAAsBtnC,EAAE,mDAAmDE,EAAE,OAAO,EAAE,EAAE,KAAK,CAACD,EAAEC,CAAC,CAAC,CAAC,CAACkuC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,UAAUtvC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,GAAG,KAAK,kBAAkB,QAAQpB,CAAC,IAAI,GAAG,MAAM,IAAIwoC,EAAE,yBAAyBxoC,eAAe,KAAK,MAAM,EAAE,KAAK,kBAAkB,KAAKA,CAAC,EAAE,GAAG,OAAO,EAAE,WAAW,KAAK,4BAA4BP,EAAE2B,GAAG,KAAKA,EAAE,EAAEytC,GAAG,OAAO,GAAG,IAAI,EAAEpvC,EAAE,MAAMH,EAAE,CAAC,EAAEwC,EAAE,IAAI7c,GAAG,EAAE,EAAE+a,EAAEkB,EAAEC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEF,GAAG,MAAM,KAAK,QAAQ,IAAIA,EAAE,MAAMa,EAAE,KAAK,CAAC,CAAC,EAAEZ,GAAG,OAAOA,EAAE,IAAIA,EAAE,KAAK,kBAAkB,KAAKY,CAAC,EAAE,KAAK,qBAAqB,KAAKA,CAAC,EAAEA,CAAC,CAAC,6BAA6B9B,EAAE,CAAC,KAAK,0BAA0BA,CAAC,CAAC,QAAQA,EAAE,CAACA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,IAAIA,EAAEgpC,GAAGhpC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,MAAM,KAAK,OAAO,KAAK,GAAGA,CAAC,EAAE,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,YAAYA,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,gBAAgB,CAAC,GAAGA,GAAG,KAAK,GAAG,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQ,GAAG,CAAC,GAAG,GAAG,KAAK,MAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,CAAC,CAAC,MAAO,OAAM,IAAI,UAAU,SAAS,KAAK,6DAA6D,EAAE,OAAO,IAAI,CAAC,OAAOA,CAAC,CAAC,eAAeU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,KAAK,CAAC,IAAIC,EAAE4nC,GAAGhpC,CAAC,EAAEV,EAAE0pC,GAAG1pC,CAAC,EAAE,EAAE0pC,GAAG,CAAC,EAAEvpC,EAAEupC,GAAGvpC,CAAC,EAAEwB,EAAE8tC,GAAG9tC,CAAC,EAAEC,EAAE6tC,GAAG7tC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEY,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQE,KAAKZ,EAAE,EAAE,KAAKY,EAAE,WAAW,EAAEF,EAAE,KAAKE,EAAE,SAAS,EAAE,EAAE,KAAKA,EAAE,WAAW,EAAE,IAAIwtC,GAAG,CAAC,cAAc,KAAK,cAAc,EAAE,YAAY1tC,EAAE,cAAc,EAAE,aAAaV,EAAE,cAAc9B,EAAE,WAAW,EAAE,YAAYG,EAAE,YAAYwB,EAAE,aAAaC,CAAC,EAAEC,CAAC,EAAE,QAAQa,EAAE,EAAEA,EAAE1C,EAAE,OAAO0C,IAAI1C,EAAE0C,CAAC,EAAE,YAAY,KAAK1C,EAAE0C,CAAC,EAAE,UAAU,KAAK,aAAa,OAAO,EAAE1C,EAAE0C,CAAC,EAAE,YAAYA,CAAC,CAAC,WAAW,CAAC,IAAIhC,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAE,OAAO,KAAK,iBAAiB,OAAOA,EAAE,gBAAgB,KAAK,iBAAiB,KAAK,OAAO,OAAOA,EAAE,MAAM,KAAK,OAAOA,CAAC,CAAC,gBAAgB,CAAC,OAAO,KAAK,QAAQ,QAAQA,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,QAAQ,MAAM,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,UAAU,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,yCAAyC,EAAE,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI,MAAM,wBAAwB,KAAK,wCAAwC,EAAE,KAAK,kBAAkB,EAAE,IAAIA,EAAE,EAAE,MAAM,EAAE,KAAK,YAAY,IAAIA,EAAE,KAAK,eAAe,GAAG,CAAC,qBAAqB,KAAK,UAAU,qBAAqBA,CAAC,CAAC,CAAC,EAAE,SAAS2vC,GAAGvwC,EAAE,CAACA,EAAE4pC,GAAG5pC,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAE,KAAKE,EAAE,KAAK,EAAE,OAAOypC,GAAG,CAAC,CAAC,CAAC,SAAS6G,GAAGxwC,EAAE,CAAC,MAAM,SAAS,CAAC,SAASywC,GAAGzwC,EAAE,EAAEE,EAAE,CAAC,IAAI,GAAG,MAAMA,GAAG,MAAMA,EAAE,KAAK,EAAEF,EAAE,YAAYE,EAAEF,EAAE,WAAW,EAAE,aAAa,SAAS,EAAE,MAAM,CAACA,CAAC,EAAE,CAAC,IAAII,EAAE,EAAE,aAAaF,CAAC,EAAE,GAAGE,EAAE,cAAc,SAAS,EAAE,OAAOA,EAAE,aAAa,CAAC,IAAIC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,cAAc,OAAO,IAAI,CAAC,IAAI,EAAEA,EAAE,aAAa,CAAC,EAAE2B,EAAE3B,EAAE,cAAc,CAAC,EAAE4B,EAAE5B,EAAE,YAAY,CAAC,EAAE6B,EAAEwuC,GAAG,EAAE1uC,EAAEC,CAAC,EAAE,QAAQU,KAAKT,EAAE5B,EAAE,QAAQqC,CAAC,IAAI,IAAIrC,EAAE,KAAKqC,CAAC,CAAC,CAAC,OAAOrC,CAAC,CAAC,CAAC,CAAC,IAAIqwC,GAAG,cAAcJ,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAM,CAAC,MAAMA,EAAE,MAAM,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAKoqC,GAAG,OAAO,EAAE,SAAS,CAAC,CAAC,EAAEpqC,EAAE,WAAW,OAAOA,EAAE,UAAU,MAAMA,EAAE,QAAQ,OAAOA,EAAE,OAAO,IAAI,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,OAAOA,EAAE,OAAOA,EAAE,YAAY,MAAMA,EAAE,iBAAiB,KAAK,MAAM,IAAIwoC,EAAE,mGAAmG,EAAE,IAAIlpC,EAAEU,EAAE,gBAAgB,GAAGV,GAAG,KAAK,CAAC,GAAGU,EAAE,YAAY,KAAK,MAAM,IAAIwoC,EAAE,+EAA+E,EAAElpC,EAAE,CAACU,EAAE,SAAS,EAAE,OAAOA,EAAE,UAAU,CAAC,SAASA,EAAE,WAAW,KAAK,MAAM,IAAIwoC,EAAE,uFAAuF,EAAE,IAAI,EAAExoC,EAAE,OAAO,UAAU,KAAK,gBAAgBV,EAAE,KAAK,MAAM,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAItU,GAAG,KAAK,MAAM,KAAK,gBAAgB,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,IAAI,EAAEsU,EAAE,UAAU,EAAEA,EAAE,YAAY,EAAE,IAAI+vC,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,CAAC/vC,CAAC,EAAE,cAAc,CAACA,CAAC,EAAE,WAAW,CAAC,IAAI,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,CAACH,CAAC,EAAE,aAAa,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,MAAM,IAAIkpC,EAAE,6EAA6E,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,CAAC,qBAAqB,KAAK,UAAU,qBAAqB,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,gBAAgB,KAAK,gBAAgB,MAAM,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEsH,GAAG,UAAU,aAAah2C,GAAE,cAAcg2C,EAAE,EAAE,SAASC,GAAG3wC,EAAE,CAAC,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAI,MAAM,8HAA8H,EAAE,GAAGA,EAAE,YAAY,MAAMA,EAAE,OAAO,KAAK,MAAM,IAAIopC,EAAE,kFAAkF,EAAE,IAAI,EAAEppC,EAAE,WAAWA,EAAE,OAAO,MAAM,GAAG,OAAO,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAG,IAAIE,EAAEF,EAAE,MAAM,OAAOE,GAAG,OAAOA,EAAE,WAAW,IAAIwwC,GAAG,CAAC,gBAAgB,EAAE,KAAK1wC,EAAE,KAAK,MAAME,EAAE,OAAOF,EAAE,MAAM,CAAC,EAAE,aAAa,CAAC,EAAE,cAAc,CAAC,CAAC,CAAC,SAAS4wC,GAAG5wC,EAAE,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,EAAE,MAAM,OAAO,EAAE,GAAG,CAAC,OAAOjR,GAAE,EAAEiR,EAAE,KAAK,CAAC,OAAOE,EAAN,CAAS,MAAM,IAAIkpC,EAAE,0BAA0B,EAAE,mDAAmDppC,EAAE,UAAUA,EAAE,SAAS,CAAC,CAAC,CAAC,IAAI6wC,GAAG,KAAK,CAAC,YAAYjwC,EAAE,CAAC,GAAG,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEA,aAAaiwC,GAAG,QAAQ3wC,KAAKU,EAAE,SAAS,KAAK,SAASV,CAAC,EAAEU,EAAE,SAASV,CAAC,EAAEA,KAAKU,EAAE,UAAU,KAAK,QAAQV,CAAC,EAAEU,EAAE,QAAQV,CAAC,OAAO,CAAC,GAAGU,GAAG,KAAK,OAAO,QAAQV,KAAKU,EAAE,KAAK,IAAIV,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIU,EAAEV,EAAE,EAAE,CAAC,GAAG,KAAK,SAASU,EAAE,EAAE,GAAG,KAAK,KAAK,SAASA,EAAE,EAAE,EAAEgwC,GAAGhwC,EAAEV,CAAC,EAAE,KAAK,QAAQU,EAAE,IAAI,EAAEA,EAAE,GAAG,GAAG,OAAO,KAAK,QAAQA,EAAE,EAAE,EAAE,OAAQ,OAAM,IAAIwoC,EAAE,uBAAuBxoC,EAAE,YAAYA,EAAE,IAAI,EAAE,OAAO,IAAI,CAAC,QAAQA,EAAE,CAAC,KAAK,IAAIA,EAAE,IAAIA,EAAE,KAAK,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,KAAK,SAASA,EAAE,EAAE,GAAG,IAAI,CAAC,OAAO,CAAC,OAAO,OAAO,KAAK,KAAK,OAAO,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,aAAa7U,GAAG,CAAC,GAAG,KAAK,SAAS6U,EAAE,EAAE,GAAG,KAAK,MAAM,IAAIwoC,EAAE,oBAAoBxoC,EAAE,MAAM,EAAE,OAAO,KAAK,SAASA,EAAE,EAAE,CAAC,KAAK,CAAC,IAAIV,EAAE,KAAK,QAAQU,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,yCAAyCxoC,GAAG,EAAE,OAAO,KAAK,SAASV,CAAC,CAAC,CAAC,CAAC,QAAQU,EAAE,CAAC,GAAGA,aAAa7U,GAAG,CAAC,GAAG,KAAK,SAAS6U,EAAE,EAAE,GAAG,KAAK,MAAM,IAAIwoC,EAAE,oBAAoBxoC,EAAE,MAAM,EAAE,OAAO,KAAK,QAAQA,EAAE,EAAE,CAAC,KAAK,CAAC,IAAIV,EAAE,KAAK,QAAQU,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,yCAAyCxoC,GAAG,EAAE,OAAO,KAAK,QAAQV,CAAC,CAAC,CAAC,CAAC,cAAc,CAAC,KAAK,SAAS,MAAMlP,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE8/C,GAAG,IAAIvH,GAAGwH,GAAG,IAAIxH,GAAG,SAASyH,GAAGhxC,EAAE,CAAC8wC,IAAI,MAAMA,GAAG,cAAc9wC,CAAC,EAAE+wC,IAAI,MAAMA,GAAG,cAAc/wC,CAAC,CAAC,CAAC,SAASixC,GAAGjxC,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEH,GAAG,KAAK,GAAGA,EAAE,SAAS,EAAE,MAAM,QAAQF,CAAC,EAAE,EAAE,EAAEA,EAAE,CAACA,CAAC,EAAE+B,EAAE,EAAE,IAAIe,GAAGA,EAAE,IAAI,EAAEd,EAAE,CAAC,EAAEC,EAAE,EAAE,MAAM,EAAE,QAAQa,KAAKf,EAAEE,EAAE,QAAQa,CAAC,IAAI,GAAGd,EAAE,KAAK,EAAE,SAASc,CAAC,CAAC,EAAEd,EAAE,KAAK,IAAI,EAAE5B,GAAG,OAAOA,EAAE,cAAc,GAAG,EAAEA,EAAE,cAAc,EAAE,GAAG,IAAIsC,EAAEX,EAAE,KAAK,GAAG,EAAE,IAAI,EAAE,MAAM,EAAE,KAAK,EAAE,KAAK,GAAG,EAAEY,EAAEmuC,GAAG,IAAIpuC,CAAC,EAAEE,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIG,EAAEouC,GAAG,EAAE,CAAC,EAAEvuC,EAAEG,EAAE,OAAOF,EAAEE,EAAE,gBAAgBguC,GAAG,IAAIpuC,EAAEC,CAAC,EAAEouC,GAAG,IAAIruC,EAAEE,CAAC,CAAC,CAACA,EAAE,CAAC,EAAEvC,GAAG,OAAO,OAAOuC,EAAEmuC,GAAG,IAAIruC,CAAC,CAAC,EAAE,IAAIG,EAAE,IAAIguC,GAAG,CAAC,EAAE,QAAQ/tC,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,GAAG1C,GAAG,KAAK,CAAC,IAAImH,EAAEpR,GAAG,EAAE,WAAWoR,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,GAAGA,EAAEnH,EAAE,gBAAgBA,EAAE,cAAcmH,EAAE,CAAC,IAAIvD,EAAErB,EAAEG,CAAC,EAAE,EAAEkB,EAAE,YAAY,GAAG,aAAa0sC,GAAG,SAAS,IAAIppC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE7C,EAAE,CAAC,EAAEC,EAAE,GAAG,QAAQ6C,KAAKvD,EAAE,OAAO,CAAC,IAAIgB,EAAEnC,EAAE,SAAS0E,CAAC,EAAEtC,EAAEpC,EAAE,QAAQ0E,CAAC,EAAED,EAAE,KAAKtC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEA,GAAG,OAAOP,EAAE,IAAIrE,IAAIuC,EAAE2E,EAAE,IAAI,IAAI3E,EAAE2E,EAAE,IAAI,IAAI,GAAG,CAAC,EAAE,OAAOA,CAAC,GAAGxF,EAAE,QAAQwF,EAAE,IAAI,IAAI,IAAI,CAACvC,EAAE,YAAYuC,EAAE,YAAY,WAAW,IAAI9C,EAAE,KAAKO,CAAC,EAAE,CAACN,IAAIxE,EAAEA,GAAG,CAAC,EAAEA,EAAE,KAAK,EAAE,CAAC,GAAG,IAAIyE,EAAEilC,GAAG,EAAE,MAAMtiC,EAAEpH,CAAC,CAAC,EAAE0E,EAAE,KAAK,EAAE,kBAAkBA,EAAE,EAAE,YAAY0C,EAAE,CAAC,GAAG,IAAIzC,EAAEssC,GAAGntC,CAAC,EAAEe,EAAE,MAAM,QAAQF,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAExC,EAAE,OAAO,EAAEwC,EAAE,CAAC1E,EAAE,OAAOkC,EAAEwC,CAAC,CAAC,GAAG1E,EAAE,IAAIkC,EAAEwC,CAAC,EAAE5C,EAAE4C,CAAC,EAAE,MAAM,QAAQ3C,CAAC,EAAEA,EAAE,CAAC,EAAEA,CAAC,EAAE,IAAII,EAAEjD,EAAE,QAAQgD,EAAEwC,CAAC,EAAE,IAAI,EAAEvC,IAAI,KAAKhD,EAAEgD,CAAC,EAAEL,EAAE4C,CAAC,EAAE,CAAClH,GAAGrP,GAAGyT,CAAC,CAAC,CAAC,OAAO5B,EAAE,aAAa,EAAE,EAAEb,EAAEA,EAAE,CAAC,CAAC,CAAC,SAASkvC,GAAGlxC,EAAE,EAAE,CAACxB,EAAE,OAAOwB,GAAG,MAAMA,EAAE,OAAO,EAAE,IAAI,uCAAuC,EAAE,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAGJ,EAAE,SAAS,EAAE,CAAC,IAAIK,EAAE+wC,GAAGpxC,EAAE,CAAC,EAAE,CAAC,EAAEE,EAAEG,EAAE,OAAOD,EAAEC,EAAE,YAAY,KAAK,CAAC,IAAIA,EAAE,IAAI,IAAI,QAAQ,KAAKL,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,aAAa+B,CAAC,EAAEqvC,GAAG,EAAE,CAAC,EAAE,QAAQpvC,KAAK,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,IAAI9B,EAAE,KAAK8B,CAAC,EAAE3B,EAAE,IAAI2B,EAAE,IAAI,GAAG,QAAQA,KAAKD,EAAE3B,EAAE4B,CAAC,GAAG,OAAO5B,EAAE4B,CAAC,EAAE,IAAI,KAAKD,EAAEC,CAAC,EAAE,QAAQC,GAAG7B,EAAE4B,CAAC,EAAE,IAAIC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO/B,EAAE,gBAAgBmxC,GAAGjxC,CAAC,CAAC,CAAC,CAAC,SAASixC,GAAGrxC,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,KAAKF,EAAE,EAAEE,CAAC,EAAEF,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,CAAC,SAASkxC,GAAGpxC,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ0B,KAAK,EAAE,MAAM,EAAE7B,EAAE,IAAI6B,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK/B,CAAC,EAAE,EAAE,OAAO,GAAG,CAAC,IAAI+B,EAAE,EAAE,EAAE,OAAO,CAAC,EAAE,GAAG7B,EAAE,IAAI6B,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,EAAE,QAAQ,CAAC,IAAIC,EAAE,EAAE,EAAE,OAAO,CAAC,IAAI,EAAE,OAAO,EAAE,GAAGD,EAAE,OAAO,SAAS,GAAGC,EAAE,EAAE,IAAI,EAAE5B,EAAE,KAAK2B,CAAC,EAAE7B,EAAE,IAAI6B,EAAE,IAAI,EAAEC,GAAG,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,OAAO,CAAC,EAAE,QAAQC,KAAKF,EAAE,OAAO1B,EAAE4B,EAAE,IAAI,GAAG,OAAO5B,EAAE4B,EAAE,IAAI,EAAE,IAAI,KAAK5B,EAAE4B,EAAE,IAAI,EAAE,IAAIF,EAAE,IAAI,EAAE,CAAC7B,EAAE,IAAI+B,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7B,EAAE,aAAaC,CAAC,CAAC,CAAC,SAAS8wC,GAAGnxC,EAAE,CAAC,IAAI,EAAE,GAAGA,EAAE,YAAY,aAAa,SAAS,EAAE,EAAEA,EAAE,YAAY,WAAW,CAAC,IAAIE,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,YAAY,aAAa,OAAO,EAAEI,EAAE,QAAQC,KAAKL,EAAE,YAAY,aAAaI,CAAC,EAAE,cAAc,GAAGC,EAAE,KAAKL,EAAE,GAAG,CAACE,EAAEE,EAAE,KAAK,CAAC,EAAEJ,EAAE,YAAY,YAAYE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIoxC,GAAG1/C,EAAE,EAAE0/C,GAAG,aAAa,qCAAqC,IAAI,IAAIN,EAAE,EAAE,IAAIvhD,GAAG,CAAC,EAAEwQ,GAAGxQ,GAAG,CAAC,QAAQ,IAAI8hD,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,EAAE,CAAC,EAAE,SAASC,GAAG3xC,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAItB,GAAGS,GAAG/F,EAAEkJ,EAAEA,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI4xC,GAAG,cAAcl3C,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEm3C,GAAG,cAAcD,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEyxC,GAAG/wC,EAAE,KAAK,IAAI,EAAE,EAAE3R,GAAGiR,EAAE,EAAE,KAAK,QAAQ,EAAE,OAAOpJ,EAAE8J,EAAE1P,GAAG,EAAEhE,EAAEu/C,GAAG,EAAEvsC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE2xC,GAAG,UAAU,UAAUn3C,GAAE,cAAcm3C,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAIxM,GAAG0P,EAAE1T,EAAEu/C,GAAG,EAAEkF,GAAG/wC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,KAAK,KAAK,IAAI,CAAC,CAAC,EAAEkxC,GAAG,UAAU,WAAWp3C,GAAE,cAAco3C,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAMhxC,EAAE,CAAC,OAAOrH,GAAGqH,CAAC,CAAC,CAAC,EAAEmxC,GAAG,UAAU,SAASr3C,GAAE,cAAcq3C,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhxC,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,YAAY,EAAE,KAAK,YAAY,EAAE,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,SAASA,EAAE,UAAU,KAAKA,EAAE,SAAS,KAAK,gBAAgB,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,YAAY,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAK,KAAK,WAAW,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEyxC,GAAG/wC,EAAE,KAAK,IAAI,EAAE,EAAE1T,EAAE4J,EAAE,KAAK,KAAK7H,GAAGiR,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAEpJ,EAAE,EAAE,KAAK,KAAKoJ,CAAC,CAAC,EAAE,OAAOpJ,EAAE8J,EAAE1P,GAAG,EAAEhE,EAAEu/C,GAAG,EAAEvsC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,SAAS,KAAK,SAAS,SAAS,KAAK,SAAS,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,EAAE8xC,GAAG,UAAU,aAAat3C,GAAE,cAAcs3C,EAAE,EAAE,IAAIC,GAAG,CAAC,QAAQ,UAAU,WAAW,aAAa,OAAO,SAAS,SAAS,UAAU,EAAE,SAASC,GAAGlyC,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASmyC,GAAGnyC,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAAS03C,GAAGpyC,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKiyC,GAAGA,GAAGjyC,CAAC,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOmyC,GAAGjyC,CAAC,CAAC,KAAM,QAAOF,aAAa4xC,GAAG5xC,EAAEmyC,GAAGnyC,CAAC,CAAC,CAAC,SAASuxC,GAAGvxC,EAAE,CAAC,OAAO,IAAI6xC,GAAG7xC,CAAC,CAAC,CAAC,SAAS0xC,GAAG1xC,EAAE,CAAC,OAAO,IAAI8xC,GAAG9xC,CAAC,CAAC,CAAC,SAASyxC,IAAI,CAAC,OAAO,IAAIM,EAAE,CAAC,SAASP,GAAGxxC,EAAE,CAAC,OAAO,IAAIgyC,GAAGhyC,CAAC,CAAC,CAAC,IAAInM,GAAG,CAAC,EAAEoM,GAAGpM,GAAG,CAAC,SAAS,IAAIw+C,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,UAAU,IAAIC,GAAG,SAAS,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,MAAM,IAAIC,EAAE,CAAC,EAAE,SAASA,IAAI,CAAC,OAAO,IAAI7E,EAAE,CAAC,SAASuE,IAAI,CAAC,OAAO,IAAItE,EAAE,CAAC,SAAS8D,GAAGryC,EAAE,CAAC,OAAO,IAAIwuC,GAAGxuC,CAAC,CAAC,CAAC,SAASgzC,GAAGhzC,EAAE,CAAC,OAAO,IAAIyuC,GAAGzuC,CAAC,CAAC,CAAC,SAAS+yC,GAAG/yC,EAAE,CAAC,OAAO,IAAI0uC,GAAG1uC,CAAC,CAAC,CAAC,SAASizC,GAAGjzC,EAAE,CAAC,OAAO,IAAI2uC,GAAG3uC,CAAC,CAAC,CAAC,SAAS0yC,GAAG1yC,EAAE,CAAC,OAAO,IAAI4uC,GAAG5uC,CAAC,CAAC,CAAC,SAASkzC,GAAGlzC,EAAE,CAAC,OAAO,IAAI8uC,GAAG9uC,CAAC,CAAC,CAAC,SAASuyC,GAAGvyC,EAAE,CAAC,OAAO,IAAI+uC,GAAG/uC,CAAC,CAAC,CAAC,SAASsyC,GAAGtyC,EAAE,CAAC,OAAO,IAAIgvC,GAAGhvC,CAAC,CAAC,CAAC,SAASwyC,GAAGxyC,EAAE,CAAC,OAAO,IAAIivC,GAAGjvC,CAAC,CAAC,CAAC,SAASyyC,GAAGzyC,EAAE,CAAC,OAAO,IAAIkvC,GAAGlvC,CAAC,CAAC,CAAC,SAAS2yC,GAAG3yC,EAAE,CAAC,OAAO,IAAImvC,GAAGnvC,CAAC,CAAC,CAAC,SAAS4yC,GAAG5yC,EAAE,CAAC,OAAO,IAAIovC,GAAGpvC,CAAC,CAAC,CAAC,SAAS8yC,GAAG9yC,EAAE,CAAC,OAAO,IAAIqvC,GAAGrvC,CAAC,CAAC,CAAC,IAAI1L,GAAG,CAAC,EAAE2L,GAAG3L,GAAG,CAAC,MAAM,IAAIg8C,GAAG,IAAI,IAAI1nD,GAAG,QAAQ,IAAIwqD,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,cAAc,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,WAAW,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,WAAW,IAAIC,GAAG,eAAe,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIjiD,GAAG,WAAW,IAAIkiD,GAAG,mBAAmB,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,IAAI,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIC,GAAG,QAAQ,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,aAAa,IAAIC,GAAG,cAAc,IAAIC,EAAE,CAAC,EAAE,eAAeC,GAAGh4C,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAI,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,KAAKL,EAAE,CAAC,IAAI,EAAEA,EAAEK,CAAC,EAAE,GAAG,OAAO,GAAG,SAAS,CAAC,IAAI,EAAE,EAAE,EAAE,KAAK,EAAE,KAAK,CAAC,EAAEH,EAAE,KAAKG,CAAC,EAAED,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,CAAC,IAAIC,EAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEL,EAAEE,EAAE,CAAC,CAAC,EAAEG,EAAE,CAAC,EAAE,CAAC,EAAErP,GAAGoP,CAAC,CAAC,CAAC,CAAC,SAAS63C,GAAGj4C,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAKA,EAAE,CAAC,IAAIE,EAAEF,EAAE,CAAC,EAAE,OAAOE,GAAG,UAAUA,EAAE,QAAQ,CAAC,CAAC,CAAC,IAAIg4C,IAAI,SAASl4C,EAAE,CAACA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,QAAQ,CAAC,EAAE,SAAS,GAAGk4C,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,IAAIC,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,eAAe,IAAI,CAAC,UAAUx3C,EAAE,CAAC,KAAK,OAAOA,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,CAAC,MAAM,aAAaU,EAAE,CAAC,CAAC,MAAM,WAAWA,EAAE,CAAC,CAAC,SAASA,EAAE,CAAC,CAAC,EAAEjf,GAAG,KAAK,CAAC,YAAYif,EAAEV,EAAE,GAAG,CAACU,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,KAAK,YAAYV,CAAC,CAAC,OAAOU,EAAE,CAAC,KAAK,UAAU,KAAKA,CAAC,CAAC,CAAC,UAAUA,EAAE,CAAC,QAAQV,KAAK,KAAK,UAAUA,EAAE,UAAUU,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,QAAQV,KAAK,KAAK,UAAUA,EAAE,SAASU,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaU,EAAEV,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWU,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,aAAaU,EAAEV,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQ,KAAK,KAAK,UAAU,MAAM,EAAE,WAAWU,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQV,KAAK,KAAK,UAAU,MAAMA,EAAE,aAAaU,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,QAAQV,KAAK,KAAK,UAAU,MAAMA,EAAE,WAAWU,CAAC,CAAC,CAAC,EAAEy3C,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAM,CAAC,CAAC,MAAM,aAAax3C,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI,EAAEA,EAAE,MAAM,KAAK,EAAEA,EAAE,KAAK,KAAK,MAAM,EAAE,QAAQG,KAAKH,EAAE,CAAC,IAAI2B,EAAE3B,EAAEG,CAAC,EAAE,GAAG,OAAOwB,GAAG,SAAS,KAAK,OAAO,eAAexB,CAAC,IAAI,KAAK,OAAOA,CAAC,EAAE,GAAG,KAAK,OAAOA,CAAC,EAAE,KAAK,OAAOA,CAAC,EAAEwB,EAAE,MAAM,CAAC,IAAIC,EAAEzB,KAAK,KAAK,OAAOyB,EAAE,KAAK,OAAOzB,CAAC,EAAE,KAAK,OAAOA,CAAC,EAAE,EAAE,IAAI0B,EAAErE,EAAE,IAAIxQ,EAAE,KAAK,OAAOmT,CAAC,EAAEvJ,EAAE+K,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,OAAOxB,CAAC,EAAE0B,EAAED,GAAG,MAAMA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,WAAWlB,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQ,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,CAAC,GAAG,OAAO,OAAO,KAAK,OAAO,CAAC,GAAG,SAASA,EAAE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,KAAKxC,EAAE,IAAI,CAAC,IAAI2C,EAAEvJ,EAAE5F,GAAG,EAAE,KAAK,IAAI,EAAE,KAAK,OAAO,CAAC,CAAC,EAAEgP,EAAE,CAAC,EAAEG,EAAE,KAAK,OAAO,CAAC,EAAE,QAAQ,EAAEjM,GAAG8L,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAEhb,GAAG,cAAckzD,EAAE,CAAC,MAAM,aAAax3C,EAAE,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,MAAM,WAAWA,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAM,KAAKU,CAAC,EAAE,QAAQ,KAAKV,EAAE,KAAK,QAAQ,CAAC,GAAG,OAAO,KAAK,QAAQ,CAAC,EAAE,CAAC,GAAG,KAAK,QAAQ,CAAC,EAAE,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,UAAU,CAAC,IAAIU,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ2B,KAAK,KAAK,QAAQ,CAAC,IAAIC,EAAE,KAAK,QAAQD,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,GAAG,OAAOD,EAAEC,CAAC,GAAG,SAAS,CAAC,IAAIC,EAAEF,EAAEC,CAAC,EAAEnB,EAAE,KAAKoB,EAAE,KAAK,CAAC,EAAE9B,EAAE,KAAK2B,CAAC,EAAE,EAAE,KAAKE,CAAC,CAAC,CAAC,CAAC,IAAI1B,EAAE,MAAM,QAAQ,IAAIO,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAExB,EAAE,OAAO,EAAEwB,EAAE,KAAK,QAAQ3B,EAAE2B,CAAC,CAAC,EAAE,EAAEA,CAAC,CAAC,EAAE,QAAQ,EAAE,KAAK,QAAQ3B,EAAE2B,CAAC,CAAC,EAAE,EAAEA,CAAC,CAAC,EAAExB,EAAEwB,CAAC,EAAE,CAAC,CAAC,CAAC,EAAEhf,GAAG,cAAcu1D,EAAE,CAAC,YAAYx3C,EAAEV,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,aAAa,EAAE,KAAK,QAAQU,EAAE,QAAQ,KAAK,cAAcA,EAAE,eAAe1J,GAAG,KAAK,WAAWgJ,GAAG,OAAO,KAAK,aAAa,SAAS,KAAK,WAAWi4C,IAAI,KAAK,aAAa,SAASv3C,EAAE,SAAS,KAAK,MAAM,IAAI,MAAM,iHAAiH,EAAEpC,EAAE,SAAS,KAAK,UAAU,IAAI,KAAK,UAAUmsC,GAAG,KAAK,UAAU,KAAK,IAAI,EAAE,KAAK,WAAW,KAAK,OAAO,GAAG,KAAK,WAAW/pC,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,WAAWA,EAAE,aAAa,KAAK,SAASA,EAAE,WAAW,KAAK,MAAMA,EAAE,OAAO,CAAC,MAAM,UAAUA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,KAAK,OAAO,OAAO,MAAM23C,GAAG,CAAC,EAAE33C,EAAE,KAAK,KAAK,MAAMO,EAAEV,EAAE,CAAC,CAAC,GAAGG,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAIA,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAEV,EAAE,CAAC,KAAK,aAAaU,EAAE,KAAK,YAAY,OAAO,MAAMo3C,GAAG93C,CAAC,EAAE,MAAM,KAAK,WAAWU,EAAEV,CAAC,EAAE,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,EAAE,KAAK,KAAK,SAASU,EAAEV,CAAC,CAAC,GAAG,KAAK,aAAa,SAAS,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,KAAK,YAAY,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,MAAM,KAAK,WAAWU,EAAEV,CAAC,EAAE,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,UAAU,OAAO,MAAM83C,GAAG93C,CAAC,EAAE,EAAE,KAAK,KAAK,SAASU,EAAEV,CAAC,CAAC,GAAG,KAAK,aAAa,QAAQ,EAAE,KAAK,KAAK,cAAc,CAAC,EAAE1B,EAAE,SAAS,KAAK,UAAU,GAAG,EAAE,KAAK,KAAK,UAAU,KAAK,aAAaoC,EAAEV,CAAC,CAAC,EAAE,MAAM,QAAQ,IAAI,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAE,CAAC,KAAK,YAAY,OAAO,MAAMo3C,GAAGp3C,CAAC,EAAE,MAAM,KAAK,WAAWA,CAAC,EAAE,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,UAAU,OAAO,MAAMo3C,GAAGp3C,CAAC,EAAE,MAAM,KAAK,SAASA,CAAC,EAAE,CAAC,EAAE,SAAS03C,GAAGt4C,EAAE,EAAE,CAAC,OAAOA,GAAG,OAAOA,EAAE,CAAC,GAAGA,aAAao4C,GAAG,CAACp4C,CAAC,EAAE,MAAM,QAAQA,CAAC,GAAGA,EAAE,CAAC,YAAYo4C,GAAGp4C,EAAE4pC,GAAG5pC,CAAC,EAAE,IAAI,GAAG,IAAInd,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI01D,GAAG,KAAK,CAAC,aAAa,CAAC,CAAC,OAAO,4BAA4B33C,EAAEV,EAAE,CAAC1B,EAAE,OAAOoC,GAAG,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,8DAA8DA,GAAG,EAAE23C,GAAG,kBAAkBr4C,CAAC,EAAEq4C,GAAG,aAAa33C,CAAC,GAAG,OAAO23C,GAAG,aAAa33C,CAAC,EAAE,CAAC,GAAG23C,GAAG,aAAa33C,CAAC,EAAE,KAAKV,CAAC,CAAC,CAAC,OAAO,kBAAkBU,EAAE,CAAC,QAAQV,KAAKq4C,GAAG,aAAaA,GAAG,aAAa,CAACr4C,CAAC,EAAE,QAAQG,GAAG,CAAC,GAAGA,IAAIO,EAAE,MAAM,IAAIwoC,EAAE,iCAAiC,CAAC,CAAC,CAAC,CAAC,OAAO,OAAO,CAACmP,GAAG,aAAa,CAAC,CAAC,CAAC,OAAO,gBAAgB33C,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,KAAKq4C,GAAG,aAAa,CAAC,IAAIl4C,EAAE,CAAC,EAAEO,GAAGP,GAAGH,EAAE,KAAK,GAAGq4C,GAAG,aAAal4C,CAAC,CAAC,CAAC,CAAC,OAAOH,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAEq4C,GAAG,aAAa,CAAC,EAAE,SAASC,GAAGx4C,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAE,IAAI/c,GAAGwd,EAAE,CAAC,IAAI21C,GAAG,GAAGE,GAAG,gBAAgB,CAAC,CAAC,EAAEv4C,GAAG,MAAM0C,EAAE,KAAK,GAAG1C,CAAC,EAAE0C,EAAE,KAAKT,CAAC,EAAE,IAAIU,EAAE,IAAIhhB,GAAG+gB,CAAC,EAAE,OAAOC,EAAE,UAAU,CAAC,OAAOzC,EAAE,aAAaE,EAAE,QAAQC,EAAE,MAAM,EAAE,UAAU,EAAE,QAAQ,EAAE,aAAa0B,EAAE,QAAQC,CAAC,CAAC,EAAE,CAAC,aAAaW,EAAE,QAAQV,CAAC,CAAC,CAAC,SAASw2C,GAAGz4C,EAAE,EAAE,CAAC,EAAEE,EAAE,GAAG,CAAC,OAAOgqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,QAAQwF,CAAC,CAAC,CAAC,SAASw4C,GAAG14C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAACsC,EAAE,QAAQ,YAAYA,EAAEjR,GAAEiR,EAAE,SAAS,GAAG,IAAIE,EAAErD,GAAG6wC,GAAG1tC,CAAC,EAAE,EAAE,EAAE,EAAEI,EAAE/N,GAAG6N,EAAE,MAAMusC,GAAG,CAAC,EAAEpsC,EAAEjE,GAAGnG,GAAGiK,EAAEE,CAAC,CAAC,EAAE,OAAOlP,GAAG8O,EAAEK,CAAC,CAAC,CAAC,CAAC,CAAC,SAASs4C,GAAG34C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIxH,GAAGw3C,GAAG9wC,GAAG,EAAEoD,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS44C,GAAG54C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIxH,GAAGnJ,GAAG6P,GAAG,EAAEoD,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS64C,GAAG74C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEtD,GAAGoD,EAAE,CAAC,EAAEI,EAAEnR,GAAGlC,GAAGiT,CAAC,EAAEysC,GAAG,EAAE,OAAO,SAAS,EAAEpsC,EAAEtT,GAAGmE,GAAGgP,EAAEE,CAAC,CAAC,EAAE,OAAOtJ,EAAE,IAAIZ,GAAGmK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAASy4C,GAAG94C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjR,GAAG,EAAEw9C,GAAG,EAAE,OAAO,SAAS,EAAErsC,EAAEpL,GAAG9H,EAAE,EAAEgT,CAAC,CAAC,EAAEG,EAAEpR,GAAG+Q,EAAEysC,GAAG,EAAE,OAAO,SAAS,EAAE,EAAEz3C,GAAG9H,EAAE,EAAEmT,CAAC,CAAC,EAAE,OAAOnK,GAAGw3C,GAAG9wC,GAAGwD,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS24C,GAAG/4C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjK,GAAG,EAAE2G,GAAG,EAAE9F,EAAEkJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9J,GAAGw3C,GAAGxtC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS84C,GAAGh5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjK,GAAG,EAAE2G,GAAG,EAAE9F,EAAEkJ,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9J,GAAGgK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+4C,GAAGj5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAErD,GAAG/F,EAAEkJ,EAAE,CAAC,EAAE,EAAE,EAAEI,EAAEvK,GAAGiB,EAAE8F,GAAG,EAAEoD,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO/J,GAAG,EAAE/I,EAAE,EAAE0P,GAAGwD,EAAEF,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASg5C,GAAGl5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE,KAAK,IAAI,CAAC,EAAEE,EAAExD,GAAG,EAAEoD,CAAC,EAAEK,EAAEzD,GAAG1P,EAAEkT,EAAEtE,GAAGhF,EAAE,GAAGsJ,CAAC,CAAC,CAAC,EAAEF,CAAC,EAAE,OAAOhK,GAAGmK,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS84C,GAAGn5C,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGwC,EAAE,EAAErE,GAAG,CAAC,MAAM,CAAC,IAAIuE,EAAEvD,GAAG,EAAE,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,EAAE3L,GAAG,EAAEkP,CAAC,CAAC,CAAC,OAAO,EAAEnR,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEx1C,GAAG4F,GAAG/F,EAAE/H,GAAEiR,EAAE,SAAS,EAAEhL,GAAG,CAAC,CAAC,EAAE,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASokD,GAAGp5C,EAAE,EAAEE,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI0C,EAAErR,GAAEyD,GAAGu6C,GAAG/sC,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE/Q,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAE,IAAIpsC,EAAE,EAAE,MAAM,EAAE3G,EAAErC,GAAG+I,EAAEC,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAEA,CAAC,EAAE,OAAO84C,GAAG,EAAE,EAAEj5C,CAAC,CAAC,CAAC,CAAC,CAAC,SAASm5C,GAAGr5C,EAAE,EAAE,CAAC,GAAG,CAACxB,EAAE,YAAYwB,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,IAAIopC,EAAE,8DAA8D,KAAK,UAAUppC,EAAE,KAAK,SAAS,KAAK,UAAU,EAAE,KAAK,GAAG,EAAE,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE3G,GAAG,CAAC,EAAE6G,EAAEnJ,GAAGlK,GAAG,CAAC,CAAC,EAAE,OAAOG,EAAE0P,GAAGsD,EAAEpJ,EAAE,EAAEkJ,CAAC,CAAC,EAAE/K,GAAGjD,GAAGoO,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASk5C,GAAGt5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE,OAAOA,EAAEjR,GAAG,EAAEw9C,GAAG,EAAE,EAAEA,GAAG,CAAC,EAAEvsC,EAAElL,GAAG9D,GAAGgP,EAAEtD,GAAG,EAAEsD,CAAC,CAAC,CAAC,EAAEhK,GAAGmjD,GAAGr5C,EAAEE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASq5C,GAAGv5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEjR,GAAG+Q,EAAEysC,GAAG,EAAE,CAAC,EAAErsC,EAAEnR,GAAG,EAAEw9C,GAAG,EAAE,CAAC,EAAE,OAAO5vC,GAAG/F,EAAEkJ,EAAEhL,GAAG9D,GAAGgP,EAAEE,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASo5C,GAAGx5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAElL,GAAG9H,EAAEu/C,GAAG,EAAE,CAAC,CAAC,EAAE,OAAOv2C,GAAG0G,GAAG,EAAE9F,EAAEkJ,EAAEE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASu5C,GAAGz5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEw4C,GAAG14C,EAAE,EAAE,EAAEI,EAAEs4C,GAAG,EAAE,EAAE,EAAEr4C,EAAEvJ,EAAEoJ,EAAEE,CAAC,EAAE,OAAOnJ,GAAG4F,GAAGwD,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIq5C,GAAG,CAAC,iBAAiBf,GAAG,kBAAkBC,GAAG,4BAA4BC,GAAG,4BAA4BC,GAAG,aAAaC,GAAG,MAAMC,GAAG,iBAAiBC,GAAG,QAAQC,GAAG,wBAAwBC,GAAG,8BAA8BC,GAAG,mBAAmBE,GAAG,0BAA0BC,GAAG,QAAQC,GAAG,gBAAgBC,EAAE,EAAE,SAASE,GAAG35C,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,GAAGA,KAAK05C,GAAG,OAAOA,GAAG15C,CAAC,EAAE,IAAI,EAAE,gBAAgBA,IAAI,MAAMA,EAAE,YAAY,EAAE,SAAS,qBAAqB,IAAI,EAAE,gBAAgBA,yFAAyF,IAAIopC,EAAE,CAAC,CAAC,KAAM,QAAOppC,CAAC,CAAC,SAAS45C,GAAG55C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAEpJ,EAAE,GAAGS,GAAG,CAAC,CAAC,EAAE6I,EAAEusC,GAAGp5C,GAAG,EAAE2M,CAAC,EAAEF,EAAE,KAAK,EAAE,OAAO9J,GAAGrE,GAAGmO,EAAEI,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASy5C,GAAG75C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIivC,GAAG96C,GAAGvE,GAAG0S,EAAE,EAAE,EAAE1S,GAAG,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASwsD,GAAG95C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASkoD,GAAG/5C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASmoD,GAAGh6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI3O,GAAE8N,GAAGxH,GAAGxD,GAAGmO,EAAE,CAAC,EAAEnO,GAAG,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,SAASooD,GAAGj6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE45C,GAAG95C,EAAE,CAAC,EAAEI,EAAE45C,GAAGh6C,EAAE,CAAC,EAAEK,EAAEnT,EAAEgT,EAAEE,CAAC,EAAE,OAAOrR,GAAEsQ,GAAG9L,GAAG8M,EAAE,CAAC,EAAEnP,GAAGgP,EAAEG,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS65C,GAAGl6C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAI,CAAC,IAAIwC,EAAE45C,GAAG95C,EAAE,CAAC,EAAEI,EAAE25C,GAAG/5C,EAAE,CAAC,EAAEK,EAAEnT,EAAEgT,EAAEE,CAAC,EAAE,OAAOrR,GAAEsQ,GAAG9L,GAAG8M,EAAE,CAAC,EAAEnP,GAAGgP,EAAEG,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,SAAS85C,GAAGn6C,EAAE,EAAE,CAAC,OAAOs5C,GAAGt5C,EAAE,CAAC,CAAC,CAAC,SAASo6C,GAAGp6C,EAAE,EAAE,CAAC,OAAOA,EAAE,OAAO,EAAE,OAAOA,EAAEzD,GAAGyD,EAAE,CAACA,EAAE,KAAK,CAAC,CAAC,GAAG,EAAE1S,GAAG,EAAE,EAAE,EAAE,EAAE,QAAQ0S,EAAE,QAAQ,EAAEjR,GAAE,EAAEiR,EAAE,KAAK,GAAGjR,GAAE8C,GAAGmO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq6C,GAAG1B,GAAG2B,GAAG3B,GAAG4B,GAAG3B,GAAG4B,GAAG5B,GAAG6B,GAAG5B,GAAG6B,GAAG7B,GAAG8B,GAAGxB,GAAGyB,GAAGnB,GAAGoB,GAAGzB,GAAG0B,GAAG,CAAC,eAAelB,GAAG,oBAAoBC,GAAG,UAAUI,GAAG,wBAAwBU,GAAG,8BAA8BE,GAAG,IAAIR,GAAG,IAAIC,GAAG,IAAIC,GAAG,IAAIC,GAAG,KAAKC,GAAG,KAAKC,GAAG,OAAOE,EAAE,EAAE,SAASG,GAAG/6C,EAAE,CAAC,GAAG,OAAOA,GAAG,UAAUA,KAAK86C,GAAG,OAAOA,GAAG96C,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAUA,GAAG,KAAK,OAAOA,EAAE,MAAM,IAAIopC,EAAE,kBAAkBppC,GAAG,CAAC,CAAC,SAASg7C,GAAGh7C,EAAE,CAAC,GAAGypC,GAAGzpC,IAAI,KAAK,0BAA0BA,GAAG,EAAE,OAAOA,GAAG,SAAS,OAAOA,EAAE,CAAC,IAAI,EAAE,QAAQE,KAAK,OAAO,KAAKw5C,EAAE,EAAE,GAAGA,GAAGx5C,CAAC,IAAIF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,GAAG,IAAI,OAAO,OAAO,EAAE,QAAQA,KAAK,OAAO,KAAK46C,EAAE,EAAE,GAAGA,GAAG56C,CAAC,IAAIF,EAAE,CAAC,EAAEE,EAAE,KAAK,CAAC,OAAO,IAAI,OAAO,EAAEF,EAAE,IAAI,CAAC,CAAC,SAASi7C,GAAGj7C,EAAE,CAAC,IAAI,EAAE,CAAC,QAAQ,IAAIlC,GAAG,QAAQ,GAAG,EAAE,SAAS,IAAIA,GAAG,SAAS,EAAE,IAAI2uC,GAAG,CAAC,EAAE,KAAK,IAAI3uC,GAAG,KAAK,KAAK,GAAG,KAAK2uC,GAAG,CAAC,EAAE,OAAO,IAAI3uC,GAAG,OAAO,KAAK,GAAG,KAAK2uC,GAAG,EAAE,CAAC,EAAE,QAAQ,IAAI3uC,GAAG,QAAQ,KAAK,GAAG,EAAE2uC,GAAG,CAAC,EAAE,IAAI,IAAI3uC,GAAG,IAAI,GAAG,CAAC,EAAE,GAAG,EAAE,QAAQ,EAAE,QAAQ,EAAE,SAAS,EAAE,SAAS,EAAE,KAAK,EAAE,KAAK,EAAE,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,QAAQ,EAAE,IAAI,EAAE,IAAIkC,KAAK,EAAE,OAAO,EAAEA,CAAC,EAAE,EAAE,MAAM,IAAIopC,EAAE,qBAAqBppC,GAAG,CAAC,CAAC,SAASk7C,GAAGl7C,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAGF,GAAG,MAAM,OAAOA,GAAG,UAAU,OAAO,eAAeA,CAAC,IAAI,OAAO,WAAW,CAACm7C,GAAGn7C,CAAC,EAAE,MAAM,IAAI,MAAM,oEAAoE,EAAE,GAAGE,EAAE,CAAC,IAAIE,EAAE,KAAK,UAAUJ,CAAC,EAAEI,EAAE,OAAO,SAAS,QAAQ,KAAK,mCAAmC,mCAAmCA,EAAE,qJAAqJ,UAAU,CAAC,CAAC,CAAC,SAAS+6C,GAAGn7C,EAAE,CAAC,GAAGA,IAAI,KAAK,MAAM,GAAG,GAAG,OAAOA,GAAG,SAAS,GAAG,OAAO,eAAeA,CAAC,IAAI,OAAO,UAAU,CAAC,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQE,KAAK,EAAE,GAAG,OAAOA,GAAG,UAAU,CAACi7C,GAAGn7C,EAAEE,CAAC,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,SAAS,MAAM,QAAQF,CAAC,EAAE,CAAC,QAAQ,KAAKA,EAAE,GAAG,CAACm7C,GAAG,CAAC,EAAE,MAAM,GAAG,MAAM,EAAE,KAAM,OAAM,OAAO,CAAC,IAAI,EAAE,OAAOn7C,EAAE,OAAO,IAAI,UAAU,IAAI,UAAU,IAAI,SAAS,CAAC,CAAC,SAASo7C,GAAGp7C,EAAE,EAAEE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAIC,EAAEg7C,GAAGr7C,CAAC,EAAE,EAAE,CAAC,eAAe,cAAc,eAAe,SAAS,EAAEK,GAAG,EAAE,GAAG,GAAGH,EAAEA,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI,EAAE,GAAG,IAAIA,EAAEA,GAAG,CAAC,IAAI,IAAI,GAAG,GAAG,CAAC,GAAGA,EAAEA,EAAE,OAAO,CAAC,GAAG,IAAIA,EAAEA,EAAE,IAAIwC,GAAG,KAAK,MAAM,EAAEA,CAAC,CAAC,GAAG,IAAI,EAAE,GAAG,CAACrC,EAAE,CAAC,EAAE,KAAK,iBAAiB,EAAE,EAAE,CAAC,EAAE,QAAQqC,KAAK1C,EAAE,aAAa,EAAE,KAAK,GAAGA,EAAE,aAAa0C,CAAC,CAAC,CAAC,CAACtC,EAAE,IAAI,OAAO,CAAC,CAAC,EAAEk7C,GAAG,EAAEp7C,EAAEE,CAAC,EAAEA,EAAE,IAAI,OAAO,CAAC,CAAC,EAAE,IAAI2B,EAAE/B,EAAE,OAAO,QAAQ0C,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAErC,EAAEk7C,GAAGx5C,EAAEW,CAAC,EAAExC,EAAEE,CAAC,EAAEo7C,GAAGz5C,EAAEW,CAAC,EAAExC,EAAE,EAAEE,CAAC,EAAEA,GAAGsC,IAAIX,EAAE,OAAO,EAAE,IAAI,KAAK,OAAO,CAAC,CAAC,EAAE/B,EAAE,iCAAiC,EAAE,IAAIgC,EAAEy5C,GAAGz7C,CAAC,EAAEiC,EAAE6tC,GAAG9vC,EAAE,mBAAmB,EAAEI,EAAE,iBAAiB4B,EAAEC,GAAG,EAAE7B,EAAE,qBAAqB4B,GAAG,EAAE5B,EAAE,yBAAyB6B,GAAG,EAAE7B,EAAE,IAAI,OAAO,CAAC,CAAC,CAAC,CAAC,SAASq7C,GAAGz7C,EAAE,CAAC,IAAI,EAAE,OAAOA,EAAE,2BAA2B,KAAK,EAAE8vC,GAAG9vC,EAAE,yBAAyB,EAAE,EAAE8vC,GAAG9vC,EAAE,gBAAgB,EAAE,CAAC,CAAC,SAASq7C,GAAGr7C,EAAE,CAAC,IAAI,EAAE,GAAGE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,KAAKL,EAAE,aAAaE,EAAE,KAAKF,EAAE,aAAaK,CAAC,CAAC,EAAE,QAAQA,KAAKH,EAAE,CAAC,GAAGG,EAAE,OAAO,GAAGA,EAAE,SAAS,GAAGA,EAAE,CAAC,EAAE,cAAc,OAAO,EAAE,CAAC,EAAE,GAAG,KAAK,CAACD,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQA,KAAKL,EAAE,OAAO,CAAC,IAAI,EAAE,GAAG,QAAQ,KAAKK,EAAE,aAAa,GAAGD,EAAE,QAAQ,CAAC,IAAI,GAAG,GAAG,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,EAAE,GAAG,GAAG,CAAC,EAAE,KAAK,CAAC,OAAO,CAAC,CAAC,SAASk7C,GAAGt7C,EAAE,EAAEE,EAAE,QAAQ,IAAI,CAAC,IAAIE,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEA,EAAE,IAAID,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAKA,GAAGJ,EAAEK,CAAC,EAAED,EAAEA,EAAE,MAAM,EAAE,EAAEC,CAAC,CAAC,EAAED,GAAG,IAAI,OAAO,EAAEC,CAAC,EAAED,EAAE,MAAM,EAAEF,EAAEE,CAAC,CAAC,CAAC,SAASm7C,GAAGv7C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAE,GAAG,CAACA,EAAEL,EAAE,aAAa,IAAIgC,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS3B,EAAE,UAAU,CAAC,GAAG,CAACD,EAAE,KAAK,UAAUJ,EAAE,WAAW,CAAC,OAAOgC,EAAN,CAAS5B,EAAE,UAAU,CAAC,IAAI,EAAEJ,EAAE,KAAK,EAAEA,EAAE,aAAa,EAAE+B,EAAE,CAAC,GAAG,MAAM,KAAK1B,EAAED,EAAEJ,EAAE,YAAY,EAAE,SAAS,CAAC,EAAEs7C,GAAGv5C,EAAE,EAAE7B,CAAC,CAAC,CAAC,SAASs7C,GAAGx7C,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,GAAG,CAAC,EAAEL,EAAE,aAAa,IAAI2C,GAAG,KAAK,UAAUA,EAAE,WAAW,CAAC,EAAE,KAAK,GAAG,CAAC,OAAOA,EAAN,CAAS,EAAE,UAAU,CAAC,GAAG,CAACtC,EAAE,KAAK,UAAUL,EAAE,WAAW,CAAC,OAAO2C,EAAN,CAAStC,EAAE,UAAU,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQsC,KAAK3C,EAAE,aAAa,GAAG,EAAEE,GAAG,MAAMA,EAAE,OAAO,GAAGA,EAAE,QAAQyC,CAAC,IAAI,IAAI,QAAQC,EAAE,EAAEA,EAAED,EAAE,cAAc,OAAO,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,cAAcC,CAAC,EAAE,KAAKE,EAAEH,EAAE,YAAYC,CAAC,EAAEoB,EAAErB,EAAE,cAAcC,CAAC,EAAE,EAAE,KAAK,GAAGC,KAAKC,MAAMkB,IAAI,CAAC,CAAC,IAAIjC,EAAE/B,EAAE,KAAKgC,EAAEhC,EAAE,aAAa,EAAEiC,EAAE,EAAE,SAAS,EAAE,GAAG,EAAE,CAAC,EAAES,EAAE,CAAC,GAAGX,MAAMC,KAAK,EAAE3B,EAAEL,EAAE,YAAY,EAAE,SAAS,EAAEiC,CAAC,EAAEq5C,GAAG54C,EAAE,EAAEtC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE24C,GAAG,CAAC,GAAG,GAAG,GAAG,GAAG,EAAE34C,CAAC,CAAC,EAAE,EAAEvC,CAAC,CAAC,CAAC,SAASs7C,GAAG17C,EAAE,EAAEE,EAAE,CAAC,OAAOF,IAAI,gBAAgBA,IAAI,gBAAgBA,IAAI,gBAAgB,IAAI,GAAG,OAAOE,GAAG,QAAQ,CAAC,SAASy7C,GAAG37C,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAO8pC,GAAG9pC,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,CAAC,EAAEq7C,GAAG,EAAEr7C,EAAE,CAAC,EAAEH,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKy7C,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOz7C,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQE,KAAK,OAAO,KAAKJ,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAEI,CAAC,EAAE,GAAGA,IAAI,QAAQ,OAAOC,GAAG,SAASH,EAAEE,CAAC,EAAEC,MAAM,CAAC,IAAI,EAAEypC,GAAG1pC,CAAC,EAAEF,EAAE,CAAC,EAAEy7C,GAAGt7C,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOH,CAAC,CAAC,CAAC,SAAS07C,GAAG57C,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,OAAO6pC,GAAG7pC,CAAC,EAAE,GAAG,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,OAAOA,EAAE,GAAGA,aAAa,MAAM,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAEJ,EAAE,OAAO,QAAQK,EAAE,EAAEA,EAAED,EAAE,EAAEC,EAAE,CAAC,IAAI,EAAEL,EAAEK,CAAC,EAAEq7C,GAAG,EAAEr7C,EAAE,CAAC,EAAEH,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK07C,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO17C,CAAC,KAAK,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQE,KAAK,OAAO,KAAKJ,CAAC,EAAE,CAAC,IAAIK,EAAEL,EAAEI,CAAC,EAAE,EAAEypC,GAAGzpC,CAAC,GAAGA,IAAI,QAAQA,IAAI,cAAc,OAAOC,GAAG,SAASH,EAAE,CAAC,EAAEG,EAAEH,EAAE,CAAC,EAAE07C,GAAGv7C,EAAED,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,CAAC,IAAIlB,GAAG,QAAY68C,GAAG,cAAcvL,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAM,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI,IAAI,KAAK,KAAKA,EAAE,KAAK,KAAK,MAAM,KAAK,CAAC,IAAIkE,EAAE,KAAK,aAAa,EAAE,YAAY,EAAE,KAAK,KAAKkmC,GAAGlmC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,MAAM,QAAQlE,EAAE,MAAM,EAAE,KAAK,OAAOA,EAAE,OAAO,MAAM,EAAE,KAAK,OAAO,CAACA,EAAE,MAAM,EAAE,MAAM,QAAQA,EAAE,OAAO,EAAE,KAAK,QAAQA,EAAE,QAAQ,MAAM,EAAE,KAAK,QAAQ,CAACA,EAAE,OAAO,EAAEypC,GAAG,KAAK,MAAM,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIjB,EAAE,mGAAmG,KAAK,OAAO,IAAItkC,GAAGA,EAAE,IAAI,GAAG,EAAEulC,GAAG,KAAK,OAAO,EAAE,SAAS,KAAK,QAAQ,QAAQ,QAAQ,KAAK,qGAAqG,KAAK,QAAQ,IAAIvlC,GAAGA,EAAE,IAAI,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,uBAAuB,CAAC,EAAE,KAAK,yBAAyB,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,wBAAwB,CAAC,EAAE,KAAK,0BAA0B,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,sBAAsB,CAAC,EAAE,QAAQA,KAAK,KAAK,QAAQ,CAAC,IAAIL,EAAEK,EAAE,YAAYJ,EAAEI,EAAE,UAAUH,EAAEG,EAAE,YAAY,KAAK,aAAa,KAAKL,CAAC,EAAE,KAAK,wBAAwB,KAAKC,CAAC,EAAE,KAAK,0BAA0B,KAAKC,CAAC,CAAC,CAAC,QAAQG,KAAK,KAAK,OAAO,CAAC,IAAIL,EAAEK,EAAE,YAAYJ,EAAEI,EAAE,UAAUH,EAAEG,EAAE,YAAY2kC,GAAG/kC,IAAI,EAAE,0BAA0B,EAAE+kC,GAAG9kC,IAAI,EAAE,4BAA4B,EAAE,KAAK,YAAY,KAAKF,CAAC,EAAE,KAAK,uBAAuB,KAAKC,CAAC,EAAE,KAAK,yBAAyB,KAAKC,CAAC,CAAC,CAAC,KAAK,WAAW,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,eAAe,CAAC,EAAE,KAAK,gBAAgB,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIL,EAAE,KAAK,YAAYK,CAAC,EAAE,GAAG,EAAEL,aAAaisC,IAAI,MAAM,IAAI,UAAU,8EAA8E9vC,EAAE,iBAAiBkE,0CAA0CL,EAAE,aAAa,IAAI,EAAE,KAAK,WAAW,KAAKA,EAAE,IAAI,EAAE,KAAK,gBAAgB,KAAKA,EAAE,eAAe,EAAE,KAAK,eAAe,KAAKA,EAAE,IAAI,CAAC,CAAC,QAAQK,KAAK,KAAK,aAAa,KAAK,YAAY,KAAKA,EAAE,IAAI,EAAE,KAAK,oBAAoB,KAAK,OAAO,IAAIA,GAAGA,EAAE,KAAK,EAAE,KAAK,qBAAqB,KAAK,QAAQ,IAAIA,GAAGA,EAAE,KAAK,EAAE,IAAI5E,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEG,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC8C,EAAEL,EAAEC,EAAEC,EAAEC,EAAEC,IAAI,EAAEF,GAAG,MAAMC,GAAG,MAAMC,GAAG,QAAQF,EAAEG,EAAE,YAAYF,EAAEE,EAAE,UAAUD,EAAEC,EAAE,aAAa,IAAIC,EAAEJ,EAAE,aAAaC,CAAC,EAAE,GAAGF,EAAE,QAAQK,CAAC,IAAI,GAAG,MAAM,IAAIokC,GAAG,cAAcrkC,EAAE,kBAAkBH,EAAE,2BAA2B,EAAE,GAAGF,EAAE,QAAQM,CAAC,IAAI,GAAG,OAAO,KAAK,eAAe,IAAI82C,GAAG,QAAQl3C,EAAEC,CAAC,CAAC,EAAED,EAAE,MAAM7C,IAAIA,EAAE6C,EAAE,EAAE,EAAE,OAAO,KAAK7C,CAAC,EAAE,QAAQ4C,EAAE,QAAQK,CAAC,IAAI,IAAIL,EAAE,KAAKK,CAAC,EAAE,IAAIwC,EAAExC,EAAE,cAAc,OAAO,QAAQC,EAAE,EAAEA,EAAEuC,EAAEvC,IAAI,CAAC,IAAIC,EAAEF,EAAE,aAAaC,CAAC,EAAEE,EAAEH,EAAE,cAAcC,CAAC,EAAEG,EAAEJ,EAAE,YAAYC,CAAC,EAAEI,EAAEL,EAAE,cAAcC,CAAC,EAAEhD,EAAEiD,EAAER,EAAEC,EAAEQ,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIX,EAAE,KAAKM,CAAC,EAAEL,EAAE,QAAQK,CAAC,GAAG,GAAGL,EAAE,OAAOA,EAAE,QAAQK,CAAC,EAAE,CAAC,EAAEhD,EAAE,KAAKgD,CAAC,CAAC,EAAE,EAAE,CAAC,EAAErC,EAAE,CAAC,EAAE,QAAQoC,KAAK,KAAK,QAAQ9C,EAAE8C,EAAE,EAAEpC,CAAC,EAAE,IAAI,EAAEX,EAAE,MAAM,EAAE,QAAQ,EAAE,QAAQ+C,KAAK,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAEA,EAAEA,EAAE,MAAM5E,IAAIA,EAAE4E,EAAE,EAAE,EAAE,GAAG,IAAIL,EAAEvE,EAAE4E,EAAE,EAAE,EAAEJ,EAAErE,EAAEyE,EAAE,cAAc,EAAE,GAAG,KAAK,EAAEzE,EAAEyE,EAAE,cAAc,EAAE,EAAEL,EAAE,KAAK,IAAIA,EAAEC,CAAC,EAAErE,EAAEyE,EAAE,cAAc,EAAE,EAAEL,EAAE5C,EAAEiD,EAAE,cAAc,EAAE,EAAEA,EAAE,cAAc5E,EAAE4E,EAAE,EAAE,EAAEL,EAAE,QAAQE,EAAE,EAAEA,EAAEG,EAAE,cAAc,OAAOH,IAAI,CAAC,IAAIC,EAAEE,EAAE,cAAcH,CAAC,EAAEE,EAAEC,EAAE,YAAYH,CAAC,EAAEI,EAAEH,EAAE,aAAaC,CAAC,EAAE0C,EAAErH,EAAE6E,EAAE,EAAE,GAAG,KAAK,EAAE7E,EAAE6E,EAAE,EAAE,EAAE7E,EAAE6E,EAAE,EAAE,EAAE,KAAK,IAAIN,EAAE,EAAE8C,CAAC,EAAE,EAAExC,EAAE,EAAE,EAAEA,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAE,QAAQkC,KAAK5E,EAAE,CAAC,IAAIuE,EAAEvE,EAAE4E,CAAC,EAAEL,KAAK7B,IAAIA,EAAE6B,CAAC,EAAE,CAAC,GAAG7B,EAAE6B,CAAC,EAAE,KAAK,EAAEK,CAAC,CAAC,CAAC,CAAC,IAAIjC,EAAE,CAAC,EAAE,QAAQiC,KAAKzE,EAAE,CAAC,IAAIoE,EAAEpE,EAAEyE,CAAC,EAAEL,KAAK5B,IAAIA,EAAE4B,CAAC,EAAE,CAAC,GAAG5B,EAAE4B,CAAC,EAAE,KAAK5C,EAAEiD,CAAC,CAAC,CAAC,CAAC,IAAIhC,EAAE,OAAO,KAAKD,CAAC,EAAE,IAAIiC,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKslC,EAAE,EAAE,KAAK,OAAO,CAAC,EAAE,QAAQtlC,KAAKhC,EAAE,CAAC,IAAI2B,EAAE5B,EAAEiC,CAAC,EAAEL,EAAE,KAAK,CAACC,EAAEC,IAAI,CAAC,IAAIC,EAAE9C,EAAE4C,EAAE,EAAE,EAAEG,EAAE/C,EAAE6C,EAAE,EAAE,EAAE,OAAOC,EAAEC,EAAE,GAAGD,EAAEC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQH,KAAKD,EAAEC,aAAam3C,IAAI,KAAK,sBAAsB,KAAKn3C,CAAC,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,KAAK,cAAc7B,EAAEC,EAAE,OAAO,KAAKF,CAAC,EAAE,IAAIkC,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKslC,EAAE,EAAE,IAAIpmC,EAAE,KAAK,OAAO,MAAM,EAAEC,EAAE,CAAC,EAAE,QAAQa,KAAKhC,EAAE,QAAQ2B,KAAK7B,EAAEkC,CAAC,EAAE,CAAC,IAAIJ,EAAED,EAAE,cAAc,GAAGC,GAAG,KAAK,CAAC,QAAQC,KAAKF,EAAE,aAAa,GAAGT,EAAE,QAAQW,CAAC,IAAI,GAAG,MAAM,IAAIwkC,GAAG,sDAAsDxkC,eAAeD,EAAE,qEAAqET,GAAG,EAAE,QAAQU,KAAKF,EAAE,cAAcT,EAAE,KAAKW,CAAC,EAAEV,EAAE,KAAKS,EAAE,IAAI,CAAC,CAAC,CAAC,KAAK,aAAa9B,EAAE,IAAI0E,EAAE,KAAK,OAAO,IAAIxC,GAAGA,EAAE,IAAI,EAAE,QAAQA,KAAKwC,EAAE,CAAC,IAAI7C,EAAE6C,EAAE,OAAO5C,GAAGA,IAAII,CAAC,EAAE,OAAO,GAAGL,IAAI,EAAE,MAAM,IAAI0kC,GAAG,aAAarkC,cAAcL,wEAAwE,KAAK,UAAU6C,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,IAAI8oC,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW,KAAK,OAAO,IAAItrC,GAAG,IAAI,EAAE,YAAY,KAAK,QAAQ,IAAIA,GAAG,IAAI,EAAE,YAAY,KAAK,OAAO,IAAIA,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,IAAIA,GAAGA,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,MAAM,GAAG,KAAK,UAAU,CAAC,CAAC,mBAAmB,CAAC,GAAG,KAAK,YAAY,EAAE,MAAM,IAAI,MAAM,cAAc,KAAK,4BAA4B,CAAC,CAAC,SAAS,CAAC,KAAK,kBAAkB,EAAE,IAAIlE,EAAE,CAAC,qBAAqB,KAAK,qBAAqB,CAAC,EAAE,GAAG,EAAE,KAAK,YAAY,EAAE,CAAC,QAAQV,KAAK,KAAK,OAAOU,EAAE,sBAAsBV,EAAE,QAAQ,EAAE,qBAAqB,QAAQA,KAAK,KAAK,sBAAsBU,EAAE,sBAAsBV,EAAE,QAAQ,EAAE,oBAAoB,CAAC,OAAOU,EAAE,qBAAqB,KAAK,UAAUA,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,QAAQV,GAAG,CAACA,EAAE,kBAAkB,QAAQ,GAAG,EAAE,UAAUU,CAAC,CAAC,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,KAAK,kBAAkB,OAAO,EAAE,MAAM,IAAIwoC,EAAE,sNAAsN,EAAE,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIxoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAOU,EAAEA,EAAE,OAAOV,EAAE,gBAAgB,EAAE,OAAOU,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAOU,EAAE,KAAK,GAAGV,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,OAAOA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOU,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,iBAAiB,OAAO,KAAK,mBAAmB,CAAC,CAAC,YAAYA,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEG,EAAE,EAAE,QAAQyB,KAAK,KAAK,OAAO,QAAQC,KAAKD,EAAE,QAAQ,CAAC,GAAG,EAAEC,EAAE,YAAY,GAAG,KAAK,MAAM,IAAIqnC,EAAE,0BAA0BrnC,EAAE,cAAc,EAAE,EAAEA,EAAE,YAAY,EAAEA,EAAE1B,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,GAAG,EAAEA,CAAC,GAAG,KAAK,CAAC,IAAIE,EAAEF,EAAE,MAAM,GAAG,EAAEC,EAAEC,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,CAACA,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAED,CAAC,GAAG,KAAKF,EAAE,KAAK,CAAC,EAAEE,CAAC,EAAEnB,EAAEkB,CAAC,CAAC,CAAC,UAAU5B,EAAE,MAAM,IAAIkpC,EAAE,gDAAgDtnC,GAAG,EAAE,OAAO,EAAEC,CAAC,CAAC,CAAC,GAAG7B,EAAE,CAAC,IAAI4B,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAED,EAAE,KAAKC,CAAC,EAAE,GAAGD,EAAE,OAAO,EAAE,MAAM,IAAIsnC,EAAE,GAAGtnC,EAAE,aAAazB,0BAA0ByB,GAAG,CAAC,CAACouC,GAAGruC,CAAC,CAAC,CAAC,eAAe,CAAC,IAAIjB,EAAE,KAAK,UAAU,EAAEV,EAAE,CAAC,EAAE,OAAOA,EAAE,UAAU,KAAK,aAAa,EAAEA,EAAE,OAAOU,EAAEV,EAAE,aAAa,eAAelB,KAAKkB,EAAE,QAAQ,gBAAgBA,CAAC,CAAC,OAAOU,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE07C,GAAG,KAAK,cAAc,CAAC,EAAE,OAAO17C,EAAE,KAAK,UAAU,CAAC,EAAE,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgpC,GAAGhpC,CAAC,EAAE,IAAI,EAAE,IAAIiwC,GAAG,QAAQxwC,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,EAAE,IAAI,KAAK,OAAOA,CAAC,EAAEO,EAAEP,CAAC,CAAC,EAAE,OAAO4wC,GAAG,KAAK,QAAQ,EAAE/wC,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgpC,GAAGhpC,CAAC,EAAE,IAAI,EAAE,OAAOV,GAAG,KAAK,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,EAAE,EAAEgpC,GAAG1pC,CAAC,EAAE,KAAK,iBAAiBU,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIV,EAAEyvC,GAAG/uC,CAAC,EAAE,GAAGV,EAAE,SAAS,KAAK,YAAY,OAAO,MAAM,IAAIkpC,EAAE,+BAA+BxoC,gBAAgB,KAAK,YAAY,uBAAuB,EAAE,IAAI,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE7B,EAAE,OAAO6B,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,CAAC,EAAE,EAAE7B,EAAE6B,CAAC,EAAEW,EAAEV,EAAE,KAAK,OAAO,EAAEU,CAAC,EAAE,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI0B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKqoC,EAAE,EAAE,GAAG/pC,EAAE,OAAO,EAAE,QAAQ0B,KAAK1B,EAAE,CAAC,IAAI2B,EAAE,KAAK,aAAaD,CAAC,EAAE,QAAQ,KAAKC,EAAE,CAAC,IAAIU,EAAE,EAAE,cAAc,GAAG,KAAK,YAAY,IAAIsB,GAAGA,EAAE,EAAE,EAAE,QAAQtB,EAAE,EAAE,IAAI,GAAG,SAAS,IAAI,EAAE,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,CAAC,EAAEsD,EAAE,EAAE,YAAYtD,CAAC,EAAEc,EAAE,EAAE,cAAcd,CAAC,EAAES,EAAE,GAAGR,EAAE,QAAQqD,KAAKxC,IAAIJ,EAAE,EAAED,CAAC,EAAE,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI9B,EAAEF,EAAE,mBAAmBinC,GAAG,CAAC,CAAC,EAAE9mC,EAAE8sC,GAAG/sC,CAAC,EAAEE,EAAEJ,EAAE,aAAa,QAAQ,CAAC,EAAE,QAAQsB,EAAE,EAAEA,EAAEnB,EAAE,OAAOmB,IAAI,CAAC,IAAIC,EAAE,GAAGvB,EAAE,QAAQI,KAAKkB,IAAI,EAAEC,CAAC,EAAEpB,EAAEmB,CAAC,CAAC,CAAC,CAAC,CAAC,IAAInC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,CAAC,EAAE,EAAE,KAAK,wBAAwBA,CAAC,EAAEW,EAAE,KAAK,0BAA0BX,CAAC,EAAE,EAAE,GAAGC,EAAE,QAAQ,KAAKU,IAAIZ,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,CAAC,EAAE0nC,GAAGznC,KAAK,CAAC,EAAEH,EAAE,KAAK,EAAEG,CAAC,CAAC,CAAC,CAAC,OAAO2nC,GAAG9nC,CAAC,CAAC,CAAC,iBAAiBjB,EAAEV,EAAE,CAACA,GAAG,OAAOA,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,GAAG,IAAI,EAAE,CAAC,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAE,CAAC,IAAI,EAAE,KAAK,OAAOA,CAAC,EAAEU,EAAE9B,EAAEoB,CAAC,EAAE,EAAE9B,EAAE8B,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAACU,EAAE,CAAC,CAAC,CAAC,IAAIrC,EAAE,OAAO,KAAK,KAAK,YAAY,EAAE,IAAI2B,GAAG,SAASA,EAAE,EAAE,CAAC,EAAE,KAAKooC,EAAE,EAAE,QAAQpoC,KAAK3B,EAAE,CAAC,IAAI,EAAE,KAAK,aAAa2B,CAAC,EAAE,QAAQU,KAAK,EAAE,CAAC,IAAI,EAAEA,EAAE,cAAcE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,cAAcI,EAAE,IAAI,MAAM,QAAQkB,KAAKpB,EAAEoB,EAAE,MAAM,GAAGlB,EAAE,KAAK,EAAEkB,EAAE,EAAE,CAAC,EAAE,GAAGlB,EAAE,SAASF,EAAE,OAAO,CAAC,IAAIoB,EAAE,CAAC,EAAEC,EAAEqD,EAAExC,EAAEL,EAAE,GAAG/B,EAAE,UAAU,OAAOsB,EAAEtB,EAAE,UAAUI,EAAE,SAAS,EAAE,CAAC,GAAG,CAAC4B,EAAEC,CAAC,EAAE7B,EAAE,CAAC,EAAEkB,EAAE,MAAM,OAAOA,EAAE,KAAKW,GAAGG,EAAE8kC,GAAG,EAAE,KAAKllC,EAAEV,CAAC,CAAC,EAAES,EAAEmlC,GAAG,EAAE,YAAYllC,EAAEC,CAAC,CAAC,EAAEV,EAAE,CAACS,CAAC,EAAE4C,EAAE,CAAC3C,CAAC,CAAC,MAAMV,EAAEnB,EAAE,IAAI4B,GAAGA,EAAE,CAAC,CAAC,EAAE4C,EAAExE,EAAE,IAAI4B,GAAGA,EAAE,CAAC,CAAC,EAAEV,EAAE,MAAM,OAAOA,EAAE,KAAKsD,GAAGxC,EAAE8kC,GAAG,EAAE,KAAK3lC,EAAED,CAAC,CAAC,EAAES,EAAEmlC,GAAG,EAAE,YAAY3lC,EAAEqD,CAAC,CAAC,EAAE,GAAG,EAAE,oBAAoB,MAAM,IAAI+hC,GAAG,uHAAuH,EAAE,QAAQ3kC,EAAE,EAAEA,EAAE7B,EAAE,OAAO,EAAE6B,EAAE,CAAC,IAAIC,EAAE9B,EAAE6B,CAAC,EAAEE,EAAEE,EAAEJ,CAAC,EAAEG,EAAEJ,EAAEC,CAAC,EAAE,EAAEC,EAAE,EAAE,EAAE,CAACC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhD,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQC,KAAK,KAAK,QAAQ,CAACynC,GAAGznC,EAAE,MAAM,EAAE,4BAA4BA,EAAE,UAAUA,EAAE,IAAI,EAAE,GAAG,CAAC,EAAEU,CAAC,EAAE,EAAEV,EAAE,EAAE,EAAED,EAAE,KAAK,EAAE,KAAK,EAAEF,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKY,CAAC,CAAC,CAAC,MAAM,CAACb,EAAEC,EAAEC,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAE,QAAQG,KAAK,KAAK,OAAO,CAAC,EAAEA,aAAaw7C,GAAG,EAAE,EAAE,QAAQh6C,EAAE,EAAEA,EAAExB,EAAE,aAAa,OAAOwB,IAAI,CAAC,IAAIC,EAAE+5C,GAAG,QAAQx7C,EAAEwB,CAAC,EAAE,KAAK,eAAe,IAAIC,CAAC,IAAI5B,EAAE4B,CAAC,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,OAAO5B,CAAC,CAAC,SAASU,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,GAAG,KAAK,OAAO,QAAQA,EAAE,MAAM,IAAIkpC,EAAE,wCAAwClpC,yBAAyB,KAAK,OAAO,kBAAkB,EAAE,OAAO,KAAK,OAAOA,CAAC,CAAC,SAASU,GAAG,KAAK,MAAM,IAAIwoC,EAAE,4CAA4C,EAAE,QAAQ,KAAK,KAAK,OAAO,GAAG,EAAE,OAAOxoC,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,kBAAkBxoC,GAAG,CAAC,CAAC,iBAAiB,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIkD,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAO,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,EAAE,EAAE,CAAC,IAAIG,EAAEw7C,GAAG,QAAQ37C,EAAE,CAAC,EAAE,KAAK,eAAe,IAAIG,CAAC,GAAGO,EAAE,KAAK,GAAGV,EAAE,gBAAgB,CAAC,CAAC,CAAC,OAAOU,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,KAAK,uBAAuB,KAAK,MAAM,EAAE,EAAE,CAAC,EAAE,QAAQ4B,KAAK,KAAK,OAAO,CAAC,IAAIC,EAAED,EAAE,aAAa,EAAEE,EAAEF,EAAE,UAAU,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,aAAa,OAAO,IAAI,CAAC,IAAIc,EAAEd,EAAE,aAAa,CAAC,EAAEe,EAAEg5C,GAAG,QAAQ/5C,EAAE,CAAC,EAAEgB,EAAE,CAAC,EAAE,GAAG,KAAK,eAAe,IAAID,CAAC,EAAE,CAAC,GAAGD,EAAE,SAAS,GAAG,CAAC,KAAK,UAAUA,EAAE,QAAQ,EAAEE,EAAEF,EAAE,QAAQ,OAAOoB,EAAN,CAAS,QAAQ,KAAK,SAASlC,EAAE,uDAAuDc,EAAE,iHAAiH,EAAEE,EAAE,CAAC,CAAC,CAAC,GAAGF,EAAE,cAAc,OAAO,EAAE,CAAC,IAAIoB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAErB,EAAE,cAAc,OAAOqB,IAAI,CAAC,IAAIqD,EAAE1E,EAAE,cAAcqB,CAAC,EAAEa,EAAElC,EAAE,YAAYqB,CAAC,EAAEQ,EAAE7B,EAAE,cAAcqB,CAAC,EAAES,EAAEm3C,GAAG,QAAQv0C,EAAExC,CAAC,EAAEH,EAAEzE,EAAEwE,CAAC,EAAEC,GAAG,OAAOA,EAAE,GAAGX,EAAE,KAAK,CAACsD,EAAE,KAAK3C,EAAEF,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,CAAC,IAAItB,EAAE,CAAC,EAAEA,EAAE,KAAKZ,EAAE,KAAKY,EAAE,UAAUX,EAAEW,EAAE,OAAOV,EAAEU,EAAE,aAAa,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC9B,EAAE,OAAO,EAAE,IAAIP,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,YAAYD,CAAC,EAAEE,EAAE,KAAK,uBAAuBF,CAAC,EAAE,EAAE+5C,GAAG,QAAQ95C,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAExC,EAAE,CAAC,EAAEwC,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,yBAAyBZ,CAAC,EAAEzB,EAAE,KAAK,CAAC0B,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC9B,EAAE,YAAYP,EAAE,IAAIwB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,aAAa,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,aAAaD,CAAC,EAAEE,EAAE,KAAK,wBAAwBF,CAAC,EAAE,EAAE+5C,GAAG,QAAQ95C,EAAEC,CAAC,EAAE,GAAG,CAAC,KAAK,eAAe,IAAI,CAAC,EAAE,SAAS,IAAIU,EAAExC,EAAE,CAAC,EAAEwC,GAAG,OAAOA,EAAE,GAAG,IAAI,EAAE,KAAK,0BAA0BZ,CAAC,EAAED,EAAE,KAAK,CAACE,EAAE,KAAKW,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO9B,EAAE,aAAaiB,EAAEjB,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,EAAE,CAAC,EAAEG,EAAE,GAAG,CAAC,IAAIwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,SAASC,EAAEkC,EAAEqD,EAAE,CAACrD,EAAE,QAAQnC,EAAEA,EAAEmC,EAAE,IAAI,EAAE,KAAKqD,CAAC,EAAExF,EAAEmC,EAAE,IAAI,EAAE,CAACqD,CAAC,CAAC,CAAC,SAAStF,EAAEiC,EAAEqD,EAAE,CAAC,IAAIxC,EAAE,CAAC,EAAEL,EAAE,QAAQC,KAAK4C,EAAE,CAAC,IAAI3C,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEG,EAAEH,EAAE,CAAC,EAAE,GAAGD,EAAEC,EAAE,CAAC,GAAG,KAAK,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEC,KAAK9C,GAAG,CAACE,EAAEkC,EAAEqD,CAAC,EAAE,MAAM,CAAC,IAAIvC,EAAElD,EAAE8C,CAAC,EAAE,GAAGI,EAAE,aAAa,QAAQH,EAAE,CAAC7C,EAAEkC,EAAEqD,CAAC,EAAE,MAAM,CAAC,IAAIC,EAAExC,EAAE,aAAaH,CAAC,EAAEE,EAAE,KAAKyC,EAAE,cAAc1C,CAAC,CAAC,CAAC,CAACC,EAAE,OAAO,GAAGb,EAAE,MAAM0lC,GAAG7kC,CAAC,EAAEL,CAAC,CAAC,CAAC,SAAS,EAAER,EAAE,CAAC,IAAIqD,EAAErD,EAAE,KAAKa,EAAE2zC,GAAGx0C,EAAE/D,EAAE,eAAe,KAAKA,EAAE,cAAc,CAAC,CAAC,EAAE4E,EAAE,6BAA6BzE,CAAC,EAAEwB,EAAEyF,CAAC,EAAExC,EAAEb,EAAE,aAAa,QAAQS,GAAG,CAAC,GAAG,EAAEA,aAAa,OAAO,MAAM,IAAI0kC,EAAE,yDAAyD1kC,GAAG,EAAE3C,EAAE+C,EAAEJ,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIhC,EAAExC,EAAE,KAAK,EAAEA,EAAE,OAAO,QAAQ+D,KAAK,EAAE,EAAEA,CAAC,EAAE,KAAK,CAACqmC,GAAGxoC,CAAC,GAAG,QAAQmC,KAAK,EAAE,CAAC,IAAIqD,EAAEzF,EAAEoC,EAAE,IAAI,EAAE,GAAGqD,EAAE,QAAQxF,EAAE,CAAC,IAAIgD,EAAEhD,EAAEwF,EAAE,IAAI,EAAE,OAAOxF,EAAEwF,EAAE,IAAI,EAAE,QAAQ7C,KAAKK,EAAE9C,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,CAAC,IAAI7B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE5C,EAAE,YAAY,QAAQ+D,KAAKnB,EAAE,CAAC,IAAIwE,EAAErD,EAAE,CAAC,EAAEa,EAAEb,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAEwlC,GAAGniC,KAAKzF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEyF,CAAC,EAAE,aAAaxC,CAAC,EAAE,cAAclC,EAAE,KAAK+B,EAAEF,CAAC,CAAC,CAAC,CAAC,IAAIT,EAAE9D,EAAE,aAAa,QAAQ+D,KAAKD,EAAE,CAAC,IAAIsD,EAAErD,EAAE,CAAC,EAAEa,EAAEb,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAEwlC,GAAGniC,KAAKzF,CAAC,EAAE,IAAI8C,EAAE9C,EAAEyF,CAAC,EAAE,aAAaxC,CAAC,EAAE,cAAcjC,EAAE,KAAK8B,EAAEF,CAAC,CAAC,CAAC,CAAC,OAAO,IAAI7D,EAAE,CAAC,OAAOgC,EAAE,QAAQC,EAAE,KAAKH,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,GAAG,KAAK,UAAU,MAAM,IAAI0mC,EAAE,sLAAsL,EAAE,QAAQxoC,KAAK,KAAK,OAAO,GAAGA,EAAE,SAAS,MAAM,GAAG,MAAM,EAAE,CAAC,aAAa,CAAClD,EAAE,IAAI,CAAC,KAAK,OAAO,QAAQkD,GAAG,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAASk7C,GAAG97C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAE,OAAO,GAAGJ,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAIK,GAAG,IAAI,EAAE,GAAGD,IAAI,EAAE,OAAO,MAAM,QAAQJ,CAAC,GAAGA,EAAE,SAAS,EAAEA,EAAE,OAAOA,GAAG,UAAU,EAAE,CAAC,IAAIA,EAAE,CAACA,EAAE,EAAE,CAAC,CAAC,CAAC,EAAE,CAACA,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAASI,EAAE,MAAM,IAAI,MAAM,YAAYF,oBAAoBF,EAAE,wCAAwCI,0EAA0E,EAAE,OAAOJ,CAAC,SAAS,OAAOA,GAAG,UAAU,OAAO,KAAKA,CAAC,EAAE,OAAO,GAAG,OAAOA,EAAE,OAAO,KAAKA,CAAC,EAAE,CAAC,CAAC,GAAG,SAAS,CAAC,IAAIK,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,KAAKL,EAAEK,EAAE,KAAKL,EAAE,CAAC,CAAC,EAAEK,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEA,CAAC,KAAM,OAAM,IAAI,MAAM,2BAA2BD,kBAAkBF,kCAAkCE,gCAAgC,oBAAoBF,qBAAqB,KAAK,UAAUF,CAAC,GAAG,CAAC,CAAC,SAAS+7C,GAAG/7C,EAAE,EAAE,CAAC,OAAO87C,GAAG97C,EAAE,EAAE,aAAa,CAAC,CAAC,eAAeg8C,GAAGh8C,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,GAAG,MAAMA,GAAG,KAAK,MAAM,IAAI,MAAM,6CAA6C,EAAE,GAAGF,GAAG,KAAK,CAAC,IAAIG,EAAE3C,EAAE,IAAI,CAAC,GAAGsC,EAAE,MAAM,SAAS,EAAE,OAAO9Q,GAAG8Q,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,CAAC,GAAGA,EAAE,MAAM,CAAC,EAAE,EAAE,OAAO1S,GAAG0S,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,OAAOtG,EAAEsG,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+CA,EAAE,MAAM,CAAC,uEAAuE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,EAAE,4EAA4E,CAAC,CAAC,EAAE,EAAE,MAAM,KAAK,MAAMK,EAAE,KAAK,CAAC,EAAErP,GAAGqP,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ0B,GAAG,CAAC,GAAG7B,EAAE6B,CAAC,GAAG,KAAK,MAAM,IAAI,MAAM,wEAAwEA,6CAA6C,EAAE,EAAE,KAAK7B,EAAE6B,CAAC,CAAC,CAAC,CAAC,EAAE7E,GAAG,EAAE,SAAS,CAAC,KAAM,QAAO,IAAI,CAAC,SAAS++C,GAAGj8C,EAAE,EAAE,CAAC,OAAOlJ,EAAEkJ,EAAE,CAAC,CAAC,CAAC,IAAIk8C,GAAG,GAAG,SAASC,GAAGn8C,EAAE,EAAE,CAAC,IAAIE,EAAEE,EAAEC,EAAE,EAAEH,EAAEG,EAAE,GAAGD,EAAEC,EAAE,GAAG7B,EAAE,OAAO0B,GAAG,MAAME,GAAG,KAAK,IAAI,mPAAmP,GAAG,EAAE,IAAI,EAAEg8C,GAAG,QAAQp8C,EAAE,WAAWE,CAAC,EAAE,EAAEk8C,GAAG,SAASp8C,EAAE,YAAYI,CAAC,EAAE2B,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,EAAEvD,EAAE,OAAO,EAAE,SAASwB,EAAE,OAAO,OAAO,IAAI,mBAAmBA,EAAE,OAAO,2CAA2C,EAAE,yCAAyC,KAAK,UAAUA,EAAE,UAAU,IAAI,EAAExB,EAAE,OAAO,EAAE,SAASwB,EAAE,QAAQ,OAAO,IAAI,mBAAmBA,EAAE,QAAQ,4CAA4C,EAAE,2CAA2C,KAAK,UAAUA,EAAE,WAAW,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIxD,EAAE,OAAO,EAAEwD,CAAC,EAAE,MAAM,CAAC,IAAID,EAAE,IAAI,8BAA8B/B,EAAE,WAAWgC,CAAC,SAAS,EAAEA,CAAC,EAAE,MAAM,CAAC,gBAAgBD,oBAAoB/B,EAAE,WAAW,CAAC,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIxD,EAAE,OAAO,EAAEwD,CAAC,EAAE,MAAM,CAAC,IAAID,EAAE,IAAI,+BAA+B/B,EAAE,YAAYgC,CAAC,SAAS,EAAEA,CAAC,EAAE,MAAM,CAAC,gBAAgBD,oBAAoB/B,EAAE,WAAW,CAAC,IAAI,EAAE,MAAM,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,CAAC,SAASo8C,GAAGp8C,EAAE,EAAEE,EAAE,CAAC,GAAGA,aAAahU,GAAG,MAAM,CAACgU,CAAC,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,OAAO1B,EAAE,OAAO0B,EAAE,SAAS,EAAE,OAAO,IAAI,wBAAwBA,EAAE,gCAAgC,EAAE,uBAAuBF,UAAU,IAAI,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,GAAGH,EAAEG,CAAC,GAAG,KAAK,MAAM,IAAI+oC,EAAE,gEAAgEppC,UAAUK,KAAK,EAAED,EAAE,KAAKF,EAAEG,CAAC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,CAAC,SAASi8C,GAAGr8C,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIqpC,GAAG,wDAAwD,EAAE,MAAM,CAAC,GAAGrpC,EAAE,CAAC,EAAE,GAAGA,EAAE,CAAC,CAAC,CAAC,CAAC,eAAes8C,GAAGt8C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iBAAiB,KAAK,GAAG1B,EAAE,OAAOwB,EAAE,WAAW,KAAK,IAAI,gGAAgG,EAAExB,EAAE,OAAO0B,GAAG,KAAK,IAAI,+FAA+F,EAAE1B,EAAE,OAAO0B,EAAE,QAAQ,MAAMA,EAAE,OAAO,GAAG,OAAO,UAAUA,EAAE,MAAM,EAAE,IAAI,iFAAiFA,EAAE,QAAQ,EAAE1B,EAAE,OAAO,CAAC4B,GAAGF,EAAE,gBAAgB,GAAG,OAAO,UAAUA,EAAE,eAAe,EAAE,IAAI,uGAAuGA,EAAE,iBAAiB,EAAE1B,EAAE,OAAO0B,EAAE,iBAAiB,KAAK,IAAI,mFAAmF,EAAEF,EAAE,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAEA,EAAE,WAAW,GAAG,GAAG,CAAC,IAAIK,EAAEH,EAAE,gBAAgB,KAAK,EAAE,EAAE,GAAGG,EAAE,GAAGk8C,GAAGr8C,EAAE,cAAc,EAAE1B,EAAE,OAAO0B,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,GAAG,OAAO,UAAUA,EAAE,iBAAiB,EAAE,IAAI,iJAAiJA,EAAE,mBAAmB,MAAM,CAAC,IAAI,EAAEm8C,GAAGn8C,EAAE,cAAc,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,CAAC,IAAI6B,EAAE/B,EAAE,kBAAkB,EAAEgC,EAAEhC,EAAE,uBAAuB,EAAEiC,EAAE5B,EAAE4B,EAAED,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,EAAEC,EAAED,EAAE,MAAM,EAAE,IAAIU,EAAE41C,GAAGp4C,EAAE,UAAUA,EAAE,UAAU,EAAEyC,EAAEzC,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQ,CAAC,aAAa0C,EAAE,QAAQC,CAAC,EAAE21C,GAAG91C,EAAEC,EAAEzC,EAAE,OAAO,KAAK,KAAKs8C,GAAG,EAAEt8C,CAAC,EAAE,KAAKG,EAAE4B,CAAC,EAAEW,EAAE,SAAS5C,CAAC,EAAEA,EAAE,QAAQ6C,EAAE,MAAMD,EAAE,aAAa,EAAE5C,EAAE,cAAc,GAAG,IAAI8C,EAAE5C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAa8D,EAAE,MAAM,EAAE,SAAS,EAAE,KAAKlB,EAAE5C,EAAE,QAAQ,CAAC,IAAI,EAAE,CAAC,EAAE,MAAM0C,EAAE,aAAaE,CAAC,EAAE,IAAIwE,EAAE,EAAE,EAAE,EAAE,IAAIlH,IAAI4D,EAAE,MAAM,EAAE,SAAS,GAAG,CAAC5D,GAAGkH,EAAEpH,EAAE,iBAAiB,CAAC,IAAIuE,EAAE,MAAMT,EAAE,KAAK,EAAE,GAAG5D,GAAGqE,EAAE,KAAK,CAAC,QAAQ,KAAK,uCAAuCvE,EAAE,oEAAoEoH,2IAA2IpH,EAAE,gBAAgBA,EAAE,wFAAwF,EAAE,KAAK,CAAC,GAAGuE,EAAE,OAAO,KAAK,CAAC,GAAG,CAAC,GAAGC,EAAE,GAAGC,CAAC,EAAEw3C,GAAGn8C,EAAEyE,EAAE,KAAK,EAAEG,EAAE,CAAC,EAAEA,EAAE,MAAM,EAAEA,EAAE,KAAKF,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,MAAM9B,EAAE,aAAa,EAAEgC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG3E,EAAE,aAAa,KAAK,CAAC,IAAI8E,EAAE+2C,GAAG77C,EAAE,YAAYF,EAAE,WAAW,EAAE,QAAQiF,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAEJ,EAAE,KAAK,MAAMm3C,GAAGr3C,EAAEM,CAAC,EAAE,KAAKD,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIF,EAAEL,EAAE,OAAOC,CAAC,EAAE,OAAOE,CAAC,EAAE0C,EAAExF,EAAEgD,CAAC,EAAE/T,GAAG+T,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEhD,EAAE,OAAO,EAAEgD,EAAE,CAAC,IAAIC,EAAEjD,EAAEgD,CAAC,EAAEE,EAAEqC,EAAEvC,CAAC,EAAEJ,EAAEK,CAAC,EAAEC,EAAE9Q,GAAG8Q,CAAC,CAAC,CAAC,MAAMtC,EAAE,WAAW,EAAEgC,CAAC,EAAEqzC,GAAGrzC,CAAC,EAAE,IAAI0C,GAAG,CAAC,GAAGlH,EAAEkH,GAAGpH,EAAE,gBAAgBuE,EAAE,KAAK,CAAC,GAAGpE,EAAE,CAAC,IAAIqE,EAAE63C,GAAGr8C,EAAE,cAAc,EAAEwE,EAAEklC,GAAG,MAAM5pC,EAAE,gBAAgBE,EAAE,eAAe,CAAC,QAAQA,EAAE,iBAAiB,CAAC,CAAC,EAAEwE,EAAEklC,GAAG5pC,EAAE,SAAS,EAAE,EAAE,CAAC,UAAUE,EAAE,qBAAqB,KAAKg8C,GAAGh8C,EAAE,oBAAoB,QAAQ,CAAC,CAAC,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAE3E,EAAE,aAAa,OAAO,EAAE2E,EAAE,EAAE,OAAO3E,EAAE,aAAa2E,CAAC,GAAG,EAAED,EAAEC,CAAC,CAAC,CAAC,KAAK,CAAC,GAAG3E,EAAE,cAAc,KAAK,CAAC,GAAG,MAAM4C,EAAE,WAAWE,EAAE,CAAC,EAAEA,IAAI9C,EAAE,cAAc,KAAK,CAAC,OAAO,MAAM4C,EAAE,WAAW,EAAE,MAAM5C,EAAE,QAAQ,SAAS,EAAEA,EAAE,OAAO,QAAC,CAAQA,EAAE,WAAW,EAAE,CAAC,CAAC,SAASw8C,GAAGx8C,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,OAAO,EAAE,iBAAiB,KAAKA,EAAE,EAAE,gBAAgB,OAAO,SAASF,EAAE,IAAI,IAAIE,EAAEF,EAAE,MAAME,CAAC,CAAC,SAASq8C,GAAGv8C,EAAE,CAAC,OAAO,OAAOA,EAAE,UAAU,UAAU,CAAC,SAASy8C,GAAGz8C,EAAE,CAAC,OAAO,OAAOA,EAAE,MAAM,UAAU,CAAC,eAAe08C,GAAG18C,EAAE,EAAEE,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,IAAIE,EAAEF,EAAE,SAAS,KAAKG,EAAEL,EAAE,aAAa,EAAE,CAAC,EAAE,GAAGE,EAAE,QAAQ,EAAE,MAAM,IAAImpC,GAAG,sCAAsC,EAAE7qC,EAAE,OAAO,CAAC4B,GAAGF,EAAE,QAAQ,GAAG,OAAO,UAAUA,EAAE,OAAO,EAAE,IAAI,wEAAwE,KAAK,UAAUA,EAAE,OAAO,GAAG,EAAE,IAAI,EAAEu8C,GAAG,CAAC,EAAE,EAAE,MAAM,EAAE,SAAS,EAAE16C,EAAE,EAAEC,EAAE,EAAE,KAAK,CAAC5B,GAAG4B,EAAE9B,EAAE,SAAS,CAAC,IAAI+B,EAAE,MAAM,EAAE,KAAK,EAAE,GAAG,EAAEvE,EAAE,IAAI,CAAC,GAAGuE,EAAE,MAAM,CAAC,GAAG,CAAC,GAAGS,EAAE,GAAGC,CAAC,EAAEw5C,GAAGn8C,EAAEiC,EAAE,KAAK,EAAEW,EAAEF,EAAE,OAAOC,CAAC,EAAEE,EAAEnF,EAAE,IAAI2C,EAAEuC,CAAC,CAAC,EAAE,GAAG5R,GAAG4R,CAAC,EAAEZ,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,EAAE,KAAK7J,GAAG,CAAC,CAAC,EAAE,IAAI2I,EAAEF,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQoB,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAI,EAAEnB,EAAEmB,CAAC,EAAEsD,EAAE,EAAEtD,CAAC,EAAE,EAAEA,CAAC,EAAEtG,EAAE,IAAIxQ,EAAE,EAAE8W,CAAC,EAAElN,EAAEgM,EAAE,CAAC,CAAC,CAAC,EAAEd,EAAE,GAAGhR,GAAGsW,CAAC,CAAC,CAACtW,GAAG6R,CAAC,EAAEd,GAAGe,EAAE,EAAEd,CAAC,CAAC,OAAO,CAAC,CAAC,EAAEC,EAAE,KAAK,CAAC7B,GAAG,QAAQ,KAAK,gLAAgLF,EAAE,yFAAyF,EAAE,KAAK,CAAC,CAAC,QAAQ+B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIS,EAAE,EAAET,CAAC,EAAE,EAAEA,CAAC,EAAE/Q,GAAG,EAAE+Q,CAAC,EAAEF,CAAC,EAAE/Q,GAAG0R,CAAC,CAAC,CAAC,OAAOinC,GAAG,CAAC,CAAC,CAAC,SAASgT,GAAG38C,EAAE,CAACxB,EAAE,OAAOwB,EAAE,GAAG,OAAO,UAAUA,CAAC,EAAE,IAAI,2DAA2DA,GAAG,CAAC,CAAC,SAAS48C,GAAG58C,EAAE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAII,GAAG6sC,GAAG7sC,EAAE,EAAEF,EAAE,CAAC,CAAC,EAAE+sC,GAAGjtC,EAAE,EAAEE,EAAE,CAAC,CAAC,CAAC,SAAS28C,GAAG78C,EAAE,EAAE,CAAC,OAAOtC,EAAE,IAAIsC,GAAG,KAAK,KAAK,MAAM,QAAQA,CAAC,EAAEA,EAAE,IAAIE,GAAG28C,GAAG38C,EAAE,CAAC,CAAC,EAAEutC,GAAGztC,EAAE,EAAE,QAAQ,QAAQ,EAAEjR,GAAE,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS+tD,GAAG98C,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,EAAEC,EAAE,KAAK,KAAKD,EAAEJ,GAAGK,EAAED,EAAE,EAAEC,GAAGL,IAAIK,EAAEL,GAAGE,EAAE,KAAK,CAACE,EAAEC,CAAC,CAAC,EAAED,EAAEC,EAAE,OAAOH,CAAC,CAAC,SAAS68C,GAAG/8C,EAAE,CAAC,IAAI,EAAE,CAAC,EAAEA,aAAa9T,KAAK8T,EAAE,CAACA,CAAC,GAAG,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAE,GAAGE,EAAE,OAAO,EAAE,EAAE,KAAKwsC,GAAGxsC,EAAE,CAAC,CAAC,MAAM,CAAC,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uEAAuE,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS48C,GAAGh9C,EAAE,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,IAAIE,EAAE,CAAC,EAAE,GAAG,aAAahU,GAAGgU,EAAE,KAAK,EAAE,EAAE,UAAU,MAAM,QAAQ,CAAC,EAAE,EAAE,QAAQG,GAAGH,EAAE,KAAKG,EAAE,EAAE,CAAC,UAAU,GAAG,KAAK,QAAQA,KAAK,EAAE,CAAC,IAAI,EAAE,EAAEA,CAAC,EAAEH,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGJ,aAAa9T,GAAGgU,EAAE,QAAQF,EAAE,EAAE,IAAI,IAAII,EAAE,KAAKJ,CAAC,UAAU,MAAM,QAAQA,CAAC,EAAEA,EAAE,QAAQK,GAAG,CAACH,EAAE,QAAQG,EAAE,EAAE,IAAI,IAAID,EAAE,KAAKC,CAAC,CAAC,CAAC,UAAUL,GAAG,KAAK,QAAQK,KAAKL,EAAE,CAAC,IAAI,EAAEA,EAAEK,CAAC,EAAEH,EAAE,QAAQ,EAAE,EAAE,IAAI,IAAIE,EAAE,KAAK,CAAC,CAAC,CAACA,EAAE,QAAQC,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,SAAS48C,GAAGj9C,EAAE,CAAC,OAAOA,aAAa9T,EAAE,CAAC,SAASgxD,GAAGl9C,EAAE,CAAC,OAAO,MAAM,QAAQA,CAAC,CAAC,CAAC,SAASm9C,GAAGn9C,EAAE,CAAC,MAAM,CAACi9C,GAAGj9C,CAAC,GAAG,CAACk9C,GAAGl9C,CAAC,CAAC,CAAC,SAASo9C,GAAGp9C,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,GAAG,CAAC,GAAG,GAAG,MAAM,EAAE,SAAS,EAAE,CAAC,GAAGL,GAAG,KAAK,CAAC,IAAI,EAAE,GAAG,GAAGk9C,GAAGl9C,CAAC,GAAGA,EAAE,OAAO,EAAE,EAAE,WAAWm9C,GAAGn9C,CAAC,GAAG,QAAQ+B,KAAK/B,EAAE,GAAGA,EAAE,eAAe+B,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,OAAO,EAAE,GAAG,GAAG,EAAE,MAAM,IAAIqnC,EAAE,6BAA6B/oC,+BAA+BL,GAAG,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAGA,GAAG,KAAK,OAAO,EAAE,IAAI,GAAG,IAAI,EAAE,IAAI,EAAE,GAAGm9C,GAAGn9C,CAAC,EAAE,CAACA,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQ,KAAK,EAAE,CAAC,GAAGA,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIopC,EAAE,yBAAyB,kCAAkC,GAAG,EAAE,EAAE,KAAKppC,EAAE,CAAC,CAAC,CAAC,CAAC,SAASk9C,GAAGl9C,CAAC,EAAE,CAAC,GAAGA,EAAEA,EAAEA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIopC,EAAE,6BAA6B/oC,kHAAkH,EAAE,sEAAsEL,GAAG,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAGA,EAAEA,EAAE,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,aAAa/oC,aAAa,EAAE,4EAA4EL,EAAE,OAAO,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAG,EAAE+8C,GAAG,CAAC,EAAE78C,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,CAAC,GAAG,KAAK,SAAS,IAAI6B,EAAE,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS7B,EAAE,CAAC,EAAE,OAAO,MAAM,IAAIkpC,EAAE,uBAAuB/oC,eAAe,EAAE,CAAC,aAAaH,EAAE,CAAC,EAAE,iDAAiD6B,EAAE,OAAO,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,CAAC,EAAE,OAAO,EAAE8B,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,CAAC,EAAEU,EAAExC,EAAE,CAAC,EAAE8B,CAAC,EAAE,GAAGU,GAAG,MAAMA,GAAG,GAAGT,IAAIS,EAAE,MAAM,IAAI0mC,EAAE,GAAG/oC,gEAAgEH,EAAE,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,EAAE,MAAM,4BAA4BA,EAAE,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,EAAE,MAAM,eAAeG,4BAA4B0B,EAAE,MAAM,CAAC,gCAAgCA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAM,MAAM,qBAAqBA,EAAE,SAAS,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASs7C,GAAGr9C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEiqC,GAAGrqC,EAAE,IAAI,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,EAAEI,EAAE,KAAK,EAAE,IAAIC,EAAEgqC,GAAG,EAAE,IAAI,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,GAAGhqC,EAAE,KAAK,EAAED,EAAE,OAAO,EAAE,MAAM,IAAIgpC,EAAE,mFAAmF,KAAK,UAAUppC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGK,EAAE,OAAO,EAAE,MAAM,IAAI+oC,EAAE,oFAAoF,KAAK,UAAU,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,GAAG,EAAE,GAAGhpC,EAAE,OAAO,GAAGC,EAAE,OAAO,GAAG,CAAC7B,EAAE,YAAY4B,EAAEC,CAAC,EAAE,MAAM,IAAI+oC,EAAE,iFAAiFhpC,EAAE,CAAC,yBAAyBC,EAAE,CAAC,qBAAqB,CAAC,CAAC,SAASi9C,GAAGt9C,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAACu4C,GAAGW,GAAGH,EAAE,EAAE,QAAQ94C,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAE,CAAC,IAAI,EAAEL,EAAEK,CAAC,EAAE,EAAE,EAAEA,CAAC,EAAE0B,EAAE7B,EAAEG,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,GAAG,IAAI84C,IAAI,EAAE,MAAM,EAAE,MAAM,OAAO,CAAC,IAAI,EAAE,MAAM,IAAI/P,EAAE,2CAA2C,EAAE,+JAA+J,EAAE,GAAGhpC,EAAE,QAAQ,CAAC,IAAI,GAAG,CAAC,IAAI4B,EAAE,EAAE,MAAM,MAAM,CAAC,EAAEC,EAAEF,EAAE,MAAM,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAIC,EAAEX,EAAEU,CAAC,EAAEE,EAAEX,EAAES,CAAC,EAAE,GAAGE,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIwmC,EAAE,8BAA8B,EAAE,2CAA2CrnC,2FAA2F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw7C,GAAGv9C,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,MAAM,QAAQL,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAIopC,EAAE,6BAA6B/oC,sHAAsH,EAAE,qCAAqCL,EAAE,oBAAoB,EAAE,EAAEA,CAAC,KAAK,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,qBAAqB,EAAE,UAAU/oC,oEAAoE,KAAK,UAAUL,EAAE,KAAK,IAAI,EAAE,EAAE,CAACA,CAAC,CAAC,CAAC,GAAGE,GAAG,KAAK,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAE,CAAC,GAAGA,EAAE,CAAC,GAAG,KAAK,SAAS,IAAI6B,EAAE,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,SAAS7B,EAAE,CAAC,EAAE,OAAO,MAAM,IAAIkpC,EAAE,uBAAuB/oC,eAAe,EAAE,CAAC,aAAaH,EAAE,CAAC,EAAE,iDAAiD,KAAK,UAAU6B,EAAE,KAAK,GAAG,EAAE,QAAQC,EAAE,EAAEA,EAAE9B,EAAE,CAAC,EAAE,OAAO,EAAE8B,EAAE,CAAC,GAAGA,IAAI,GAAG,CAAC5B,EAAE,SAAS,IAAI6B,EAAEF,EAAE,MAAMC,CAAC,EAAEU,EAAExC,EAAE,CAAC,EAAE8B,CAAC,EAAE,GAAGU,GAAG,MAAMA,IAAIT,EAAE,MAAM,IAAImnC,EAAE,uBAAuB/oC,eAAe,EAAE,CAAC,mBAAmB,KAAK,UAAUH,EAAE,CAAC,CAAC,8BAA8B,KAAK,UAAU6B,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC,SAASy7C,GAAGx9C,EAAE,EAAE,CAAC,GAAGA,GAAG,MAAM,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,EAAE,IAAII,GAAG,CAAC,CAAC,EAAE,IAAIF,EAAE,GAAG,OAAOF,GAAG,UAAU,OAAOA,GAAG,WAAWE,EAAE,CAACF,CAAC,UAAU,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,SAASE,EAAEF,MAAO,OAAM,IAAI,UAAU,kGAAkGA,GAAG,EAAE,GAAG,MAAM,QAAQE,CAAC,EAAE,OAAO,EAAE,IAAIE,GAAGF,CAAC,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQC,KAAK,EAAE,CAAC,IAAI,EAAEH,EAAE,eAAeG,CAAC,EAAEH,EAAEG,CAAC,EAAE,CAAC,EAAE,MAAM,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,GAAGD,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,CAAC,IAAIq9C,GAAG,eAAe33D,GAAG,cAAc+1D,EAAE,CAAC,YAAYj7C,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAW,EAAE,CAAC,QAAQA,EAAEV,EAAE,EAAE,QAAQ,IAAI,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIkpC,EAAE,8KAA8K,EAAEgS,GAAG,KAAKx6C,EAAEV,EAAE,CAAC,CAAC,CAAC,QAAQU,EAAE,CAAC,GAAGA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,KAAK,KAAKA,EAAE,KAAK,OAAOA,EAAE,WAAW,SAAS,KAAK,WAAWq6C,GAAGr6C,EAAE,SAAS,EAAE,KAAK,iBAAiB,OAAO,CAAC,GAAG,EAAEA,EAAE,qBAAqBzY,IAAI,MAAM,IAAIihD,EAAE,6DAA6D,EAAE,KAAK,WAAWxoC,EAAE,UAAU,KAAK,iBAAiB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,GAAG,CAAC,MAAM,QAAQU,EAAE,IAAI,GAAG,OAAOA,EAAE,MAAM,UAAU,OAAOA,EAAE,MAAM,WAAW,CAACA,EAAE,KAAKA,EAAE,KAAK,QAAQkB,KAAKlB,EAAE,KAAK,GAAG,KAAK,YAAY,QAAQkB,CAAC,IAAI,GAAG,MAAM,IAAIsnC,EAAE,sCAAsCtnC,yCAAyC,KAAK,aAAa,EAAE,QAAQA,KAAK,KAAK,YAAYlB,EAAE,KAAKkB,CAAC,GAAG,MAAM,QAAQ,KAAK,WAAWA,6HAA6HA,mBAAmB,EAAE5B,EAAE,KAAKy5C,GAAG/4C,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,SAAS,MAAM,QAAQlB,EAAE,IAAI,EAAE,CAAC,GAAGA,EAAE,KAAK,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,2FAA2F,KAAK,QAAQ,yCAAyCxoC,EAAE,OAAO,EAAEV,EAAEU,EAAE,KAAK,IAAImB,GAAG43C,GAAG53C,CAAC,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE63C,GAAG/4C,EAAE,IAAI,EAAE,KAAK,QAAQ,QAAQmB,GAAG,CAAC7B,EAAE,KAAK4B,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK,cAAc5B,EAAE,KAAK,gBAAgB,CAAC,EAAE,KAAK,iBAAiB,CAAC,EAAE,KAAK,YAAY,CAAC,EAAE,QAAQ4B,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,qBAAqBD,CAAC,EAAEE,EAAE,KAAK,YAAYF,CAAC,EAAE,KAAK,gBAAgB,KAAKE,CAAC,EAAE,KAAK,iBAAiB,KAAKD,CAAC,EAAE,KAAK,YAAY,KAAK,KAAK,cAAcD,CAAC,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,QAAQlB,EAAE,QAAQ,KAAK,aAAa,CAAC,MAAM,EAAE,KAAK,eAAe,CAAC,EAAEirC,GAAG,OAAO,IAAI,CAAC,QAAQ/pC,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE,KAAK,cAAcD,CAAC,EAAE,KAAK,QAAQ,OAAO,IAAI,KAAK,eAAe,KAAK,CAACC,EAAED,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,YAAYA,CAAC,EAAE,OAAO,EAAE,CAAC,CAAC,EAAE,IAAIzB,EAAEm9C,GAAG58C,EAAE,QAAQ,KAAK,WAAW,EAAEiB,EAAE,CAACC,EAAEC,EAAEC,IAAI,CAAC,KAAK,YAAY,OAAO,IAAID,EAAE,KAAK,YAAYD,CAAC,EAAE,IAAIC,GAAG,KAAK,aAAa,KAAKA,CAAC,EAAE,KAAK,eAAe,KAAK,CAACC,EAAEF,CAAC,CAAC,CAAC,EAAE+pC,GAAG,SAAS,IAAI,CAAC,QAAQ/pC,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,GAAG,EAAE,QAAQA,CAAC,IAAI,GAAG,SAAS,IAAIC,EAAE1B,EAAEyB,CAAC,GAAGG,GAAG,CAAC,IAAIS,EAAE,GAAGC,EAAEC,EAAEC,EAAE,QAAQC,KAAKb,EAAE,CAAC,GAAG,OAAOa,GAAG,UAAU,CAAC,WAAW,MAAM,eAAe,IAAI,EAAE,QAAQA,CAAC,IAAI,GAAG,CAAC,IAAImB,EAAE,KAAK,qBAAqBnC,CAAC,EAAEmC,EAAEA,EAAE,OAAO,CAAC,IAAI,GAAG,KAAK,cAAcnC,CAAC,IAAIw3C,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQx2C,CAAC,IAAI,GAAGF,EAAEg3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ92C,CAAC,IAAI,KAAKF,EAAEu3C,IAAI,KAAK,cAAcr4C,CAAC,IAAIs3C,GAAG,CAAC,WAAW,KAAK,EAAE,QAAQt2C,CAAC,IAAI,GAAGF,EAAEw3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQt3C,CAAC,IAAI,KAAKF,EAAEi4C,IAAI,CAAC,WAAW,KAAK,EAAE,QAAQ/3C,CAAC,IAAI,GAAGF,EAAEi3C,GAAG,CAAC,eAAe,IAAI,EAAE,QAAQ/2C,CAAC,IAAI,KAAKF,EAAE+3C,IAAI,IAAIrzC,EAAE,CAAC,WAAW,KAAK,EAAE,QAAQxE,CAAC,IAAI,GAAGwE,EAAE,MAAM,CAAC,eAAe,IAAI,EAAE,QAAQxE,CAAC,IAAI,KAAKwE,EAAE,MAAMzE,EAAED,EAAED,EAAED,EAAE4E,CAAC,MAAMzE,EAAEk4C,GAAGj4C,CAAC,EAAEH,EAAED,EAAEs4C,GAAGl4C,CAAC,EAAE,IAAI,EAAE+oC,GAAGlpC,EAAE,IAAI,CAAC,EAAEE,CAAC,CAAC,EAAEhB,EAAEC,EAAEa,EAAE,CAAC,CAAC,CAAC,GAAGZ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,0BAA0B,KAAK,gBAAgB,CAAC,kCAAkC,CAAC,KAAK,2BAA2B,MAAM,KAAK,iBAAiB,SAAS,KAAK,0BAA0B,QAAQ,QAAQ,KAAK,mJAAmJ,CAAC,CAAC,SAASnB,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAUs8C,GAAGt8C,CAAC,EAAE,IAAIwB,EAAE,GAAGC,EAAE,KAAK,sBAAsBlB,EAAEV,EAAE2B,EAAExB,CAAC,EAAE,GAAG,CAAC,IAAI0B,EAAED,EAAE,CAAC,EAAE,OAAOA,EAAE,CAAC,CAAC,EAAE,KAAK,iBAAiB,EAAE,IAAIE,EAAE,KAAK,aAAa,EAAE,KAAK,SAASA,EAAED,EAAE1B,EAAE,EAAE,QAAQ,EAAE,KAAK,EAAE,OAAOspC,GAAG,CAAC,CAAC,QAAC,CAAQqT,GAAGl7C,EAAE,CAAC,EAAElB,CAAC,EAAEo8C,GAAGl7C,EAAE,CAAC,EAAE5B,CAAC,CAAC,CAAC,CAAC,MAAM,gBAAgBU,EAAEV,EAAE,CAAC,OAAO,KAAK,iBAAiB,EAAEw8C,GAAG,KAAK97C,EAAEV,CAAC,CAAC,CAAC,gBAAgBU,EAAEV,EAAE,EAAEG,EAAE,QAAQ,CAAC,IAAIwB,EAAE,GAAG,GAAG,MAAM,GAAGA,EAAE,KAAK3B,GAAG,KAAK,MAAM,IAAIkpC,EAAE,MAAM/oC,iEAAiEH,GAAG,UAAUU,GAAG,KAAK,MAAM,QAAQA,CAAC,EAAEiB,EAAEjB,EAAE,CAAC,EAAE,MAAM,CAAC,EAAEiB,EAAEjB,EAAE,MAAM,CAAC,MAAO,OAAM,IAAIwoC,EAAE,yDAAyD/oC,uBAAuB,EAAE,OAAOwB,CAAC,CAAC,QAAQjB,EAAEV,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIkpC,EAAE,oDAAoD,EAAE,IAAI,EAAE,MAAM,QAAQlpC,CAAC,EAAEG,EAAE,EAAEH,EAAE,CAACA,CAAC,EAAE2B,EAAE,KAAK,wBAAwBxB,CAAC,EAAEyB,EAAE,IAAI+uC,GAAG,GAAGjwC,aAAa1U,KAAK0U,EAAE,CAACA,CAAC,GAAG,MAAM,QAAQA,CAAC,EAAE,CAAC,GAAGA,EAAE,SAAS,KAAK,OAAO,OAAO,MAAM,IAAIwoC,EAAE,kCAAkCxoC,EAAE,8DAA8D,KAAK,OAAO,UAAU,EAAE,QAAQoB,EAAE,EAAEA,EAAE,KAAK,OAAO,OAAO,EAAEA,EAAEF,EAAE,IAAI,KAAK,OAAOE,CAAC,EAAEpB,EAAEoB,CAAC,CAAC,CAAC,KAAM,SAAQA,KAAK,KAAK,OAAO,CAAC,IAAI,EAAEpB,EAAEoB,EAAE,IAAI,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIonC,EAAE,8CAA8CpnC,EAAE,MAAM,EAAEF,EAAE,IAAIE,EAAE,CAAC,CAAC,CAAC,IAAID,EAAEkvC,GAAGpvC,EAAEC,CAAC,EAAE,OAAO,EAAEC,EAAEA,EAAE,CAAC,CAAC,CAAC,wBAAwBnB,EAAE,CAAC,IAAIV,EAAEspC,GAAG,KAAK5oC,EAAE,MAAM,EAAE,EAAEA,EAAE,OAAO,QAAQP,KAAK,KAAK,OAAO,CAAC,IAAIwB,EAAE,MAAM,QAAQxB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAACA,EAAE,MAAM,EAAEyB,EAAED,EAAE,IAAIE,GAAGA,EAAE,IAAI,EAAE,QAAQA,EAAE,EAAEA,EAAEnB,EAAE,OAAO,EAAEmB,EAAE,CAAC,IAAIC,EAAEF,EAAE,QAAQlB,EAAEmB,CAAC,CAAC,EAAE,GAAGC,IAAI,KAAK9B,EAAE6B,CAAC,EAAEF,EAAEG,CAAC,EAAE,KAAK,IAAI,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,EAAE,EAAE,CAAC,IAAI3B,EAAE,CAAC,EAAE,MAAMH,EAAE,QAAQ,CAAC2B,EAAEC,IAAI,CAACD,GAAG,MAAMxB,EAAE,KAAKO,EAAEkB,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIsnC,EAAE,mDAAmD,KAAK,UAAU/oC,CAAC,GAAG,CAAC,CAAC,OAAOH,CAAC,CAAC,YAAYU,EAAEV,EAAE,GAAG,EAAE,GAAG,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI2C,EAAE,KAAK,gBAAgBO,CAAC,EAAE,GAAG,EAAE,MAAM,IAAIyoC,GAAG,+CAA+C,EAAE,IAAIxnC,EAAEi7C,GAAGz8C,EAAEH,CAAC,EAAE4B,EAAE,KAAK,QAAQ,IAAIC,GAAG,CAAC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAErE,EAAE,IAAI,CAAC,IAAIuE,EAAEJ,EAAEE,CAAC,EAAE,CAAC,EAAEW,EAAEb,EAAEE,CAAC,EAAE,CAAC,EAAEY,EAAEi6C,GAAGh8C,EAAEqB,EAAES,CAAC,EAAEE,EAAE,CAAC,EAAE,GAAG,MAAM,QAAQD,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAEF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAOE,CAAC,EAAE,MAAMH,EAAEG,CAAC,CAAC,CAAC,OAAOF,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,CAAC,EAAE,MAAMD,CAAC,CAAC,EAAE,IAAIE,EAAE,IAAIguC,GAAGjuC,CAAC,EAAE,OAAOquC,GAAG,KAAK,QAAQpuC,CAAC,CAAC,CAAC,EAAE,QAAQ,CAACZ,EAAES,IAAIZ,EAAEY,CAAC,EAAE,KAAKT,CAAC,CAAC,EAAE,OAAO0nC,GAAG7nC,EAAE,IAAIC,GAAG3S,GAAG2S,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQnB,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE68C,GAAGn8C,CAAC,EAAE28C,GAAG,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,GAAG,CAAC,IAAIl9C,EAAEH,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,OAAOy8C,GAAGt8C,CAAC,EAAE,KAAK,YAAY,EAAEA,CAAC,CAAC,QAAC,CAAQ28C,GAAG,EAAEp8C,CAAC,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC28C,GAAG38C,EAAE,KAAK,WAAW,KAAK,gBAAgB,EAAE,EAAE,IAAIV,GAAG,MAAM,QAAQU,CAAC,EAAEA,EAAE,CAAC,EAAEA,GAAG,MAAM,CAAC,EAAE,OAAO,KAAK,YAAYA,EAAEV,CAAC,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,GAAGG,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,MAAM,IAAI8oC,GAAG,8FAA8F,EAAE,IAAItnC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,iBAAiB,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,iBAAiBD,CAAC,EAAE,KAAK,YAAYA,CAAC,IAAIs3C,GAAGv3C,EAAE,KAAKE,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEF,EAAE,KAAKE,CAAC,CAAC,CAAC,GAAGnB,EAAEw8C,GAAGx8C,EAAE,KAAK,eAAe,KAAK,gBAAgB,GAAG,OAAO,EAAEV,EAAEk9C,GAAGl9C,EAAE,KAAK,gBAAgB2B,EAAE,GAAG,QAAQ,EAAEw7C,GAAGz8C,EAAEV,EAAE,IAAI,EAAEo9C,GAAGp9C,EAAE,KAAK,YAAY,KAAK,gBAAgB,EAAE,KAAK,UAAUG,GAAG,MAAMA,EAAE,GAAGO,EAAE,CAAC,EAAE,MAAM,CAAC,EAAEP,IAAI,EAAE,MAAM,IAAI+oC,EAAE,mHAAmH/oC,aAAaO,EAAE,CAAC,EAAE,MAAM,CAAC,cAAc,EAAE,MAAM,CAACA,EAAEV,CAAC,CAAC,CAAC,MAAM,oBAAoBU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAGC,EAAE,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAE,KAAK,sBAAsBpB,EAAEV,EAAE2B,EAAEC,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqC,EAAE,IAAI,EAAE,KAAK,GAAGzB,GAAG,KAAK,CAAC,IAAIqC,EAAEq5C,GAAG17C,EAAE,KAAK,WAAW,EAAE,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEqC,EAAE,OAAO,EAAE,EAAE,EAAE,KAAK,MAAMs5C,GAAGh6C,EAAE,CAAC,EAAE,KAAKU,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAACX,EAAEC,EAAE,CAAC,CAAC,CAAC,SAASpB,EAAEV,EAAE,EAAEG,EAAE,EAAEwB,EAAE,CAAC,OAAOnE,EAAE,IAAI,CAAC,IAAIoE,EAAE,KAAK,gBAAgB5B,EAAE,EAAE2B,EAAE,OAAO,EAAEE,EAAE,CAAC,EAAE,GAAG1B,EAAE,EAAE,MAAM,IAAIgpC,GAAG,sCAAsC,EAAE,GAAGxnC,GAAG,KAAK,MAAM,IAAIwnC,GAAG,iDAAiD,EAAE,CAAC,IAAIrnC,EAAE86C,GAAGh7C,EAAE,CAAC,EAAE,EAAE5E,GAAGqvC,GAAG,EAAEzqC,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEV,EAAE,OAAO,EAAEU,EAAE,CAAC,IAAI,EAAEV,EAAEU,CAAC,EAAE,CAAC,EAAEE,EAAEZ,EAAEU,CAAC,EAAE,CAAC,EAAEG,EAAEoqC,GAAG,EAAE,EAAErqC,EAAE,CAAC,EAAEE,EAAE+5C,GAAG38C,EAAE2C,CAAC,EAAEmB,EAAEpD,EAAEkC,CAAC,EAAE,GAAGJ,IAAI,EAAE,QAAQuB,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAElC,EAAE,KAAK5H,GAAG,CAAC,CAAC,EAAE,QAAQ8J,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAIqD,EAAEtD,EAAEC,CAAC,EAAElC,EAAEkC,CAAC,EAAE/W,EAAE6U,EAAEkC,CAAC,EAAEnN,EAAE8L,EAAE,EAAE0E,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQ5E,EAAE,EAAEA,EAAEX,EAAE,OAAO,EAAEW,EAAEX,EAAEW,CAAC,EAAExR,GAAG6Q,EAAEW,CAAC,EAAEZ,CAAC,CAAC,CAAC,OAAOC,CAAC,CAAC,CAAC,CAAC,wBAAwB,CAAC,IAAInB,EAAE,KAAK,aAAaV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEU,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIP,EAAEO,EAAE,CAAC,EAAEiB,EAAExB,EAAE,GAAGqpC,GAAG9oC,EAAEP,CAAC,EAAE,EAAE,CAAC,IAAIyB,EAAE4nC,GAAG9oC,EAAE,MAAM,EAAE,CAAC,EAAEP,CAAC,EAAEwB,GAAG,IAAIC,GAAG,CAAC5B,EAAE,KAAK2B,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,mBAAmB,CAAC,OAAOU,GAAG,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAEU,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEP,EAAEO,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,EAAEkB,EAAE,CAAC,EAAEC,EAAE,IAAI,CAAC,IAAIY,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIC,EAAE,IAAIiuC,GAAGluC,CAAC,EAAEE,EAAEouC,GAAG,KAAK,QAAQruC,EAAE,CAAC,SAAS,EAAE,CAAC,EAAEE,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAImB,EAAE,KAAK,cAAc,CAAC,EAAEqD,EAAErD,EAAE5D,EAAE,CAAC,EAAEwC,EAAE,CAAC,CAAC,EAAEhB,EAAE,CAAC,GAAG,OAAOyF,EAAE20C,GAAG30C,EAAEzF,EAAE,CAAC,CAAC,GAAG,IAAIiD,EAAE5O,GAAGoR,CAAC,EAAEpH,EAAE,KAAK4E,CAAC,EAAE,IAAI,EAAEhC,EAAEwE,EAAExE,EAAE5V,EAAE4V,EAAEwE,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIrD,EAAE,GAAG,KAAK,QAAQ,OAAO,GAAG,EAAE,KAAK,QAAQ,OAAOA,EAAE/D,EAAE,CAAC,MAAM,CAAC,IAAIoH,EAAE,KAAK,eAAe,CAAC,EAAE,CAAC,EAAExC,EAAE,KAAK,eAAe,CAAC,EAAE,CAAC,EAAEb,EAAE/N,GAAGoR,EAAEjH,EAAEyE,CAAC,EAAEjC,EAAEiC,CAAC,CAAC,CAAC,CAAC,CAAC1Q,GAAG6P,CAAC,EAAEnC,EAAE,KAAKmC,CAAC,CAAC,CAAC,OAAOnB,EAAE5M,GAAG4M,CAAC,EAAE,KAAK,gBAAgB,EAAE,QAAQ,GAAG,CAACA,EAAE5V,EAAE4V,EAAE,CAAC,CAAC,CAAC,EAAEA,CAAC,EAAEd,EAAE,KAAK,0BAA0B,IAAIW,GAAGA,EAAE,KAAK,CAAC,EAAE,EAAE,GAAG,MAAM,CAAC,KAAK,WAAW,SAASZ,EAAE,EAAEC,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,CAAC,CAAC,kBAAkB,CAAC,KAAK,aAAalB,GAAGlD,EAAE,IAAI,CAAC,IAAIwC,EAAE,CAAC,EAAE,EAAEG,EAAEO,EAAE,MAAM,EAAE,KAAK,OAAO,MAAM,EAAEiB,EAAEjB,EAAE,MAAM,KAAK,OAAO,OAAO,KAAK,OAAO,OAAO,KAAK,QAAQ,MAAM,EAAEkB,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,OAAO,OAAO,EAAE,EAAEA,EAAE,KAAK,CAAC,IAAI,KAAK,OAAO,CAAC,EAAE,MAAMzB,EAAE,CAAC,CAAC,CAAC,EAAE,IAAI0B,EAAE,IAAI8uC,GAAG/uC,CAAC,EAAEE,EAAEivC,GAAG,KAAK,QAAQlvC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,cAAc,OAAO,EAAE,EAAE,CAAC,IAAIW,EAAE,KAAK,cAAc,CAAC,EAAE,EAAExM,GAAGwM,EAAEb,EAAE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,EAAE,EAAE9U,EAAE,EAAE,CAAC,EAAEgT,EAAE,KAAK,CAAC,CAAC,CAAC,QAAQ,EAAE,EAAE,EAAE,KAAK,eAAe,OAAO,EAAE,EAAE,CAAC,IAAIwC,EAAE,KAAK,eAAe,CAAC,EAAE,CAAC,EAAE,EAAE,KAAK,eAAe,CAAC,EAAE,CAAC,EAAEE,EAAE1M,GAAGwM,EAAEb,EAAE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,EAAE9B,EAAE,KAAK0C,CAAC,CAAC,CAAC,OAAO1C,CAAC,CAAC,CAAC,CAAC,MAAM,IAAIU,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,KAAK,WAAW,MAAM,IAAI,MAAM,8DAA8D,EAAE,KAAK,WAAW,GAAG,IAAIG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAE,EAAE,WAAW,KAAK,GAAG,EAAE,UAAU85C,GAAG95C,CAAC,EAAE,IAAIC,EAAE,GAAGkB,EAAE,MAAM,KAAK,oBAAoBpD,EAAEV,EAAE,EAAE,aAAa,EAAE,YAAY4C,EAAED,CAAC,EAAExC,EAAE2D,EAAE,CAAC,EAAEnC,EAAEmC,EAAE,CAAC,EAAEpB,EAAEoB,EAAE,CAAC,EAAE,IAAIC,EAAE,GAAGqD,EAAE,GAAG,EAAE,gBAAgB,MAAM,EAAE,eAAe,OAAO,EAAE,CAAC,GAAGrD,EAAE,GAAG,EAAE,eAAe,SAAS,EAAEjC,EAAE,EAAE,eAAe,CAAC,EAAE,EAAE,EAAE,eAAe,CAAC,MAAO,OAAM,EAAE,eAAe,SAAS,EAAE,IAAIqnC,GAAG,+DAA+D,EAAE,IAAID,EAAE,0GAA0G,EAAE,4BAA4B,EAAE,IAAI7hC,EAAE,GAAGvC,EAAE,MAAM,KAAK,oBAAoBhD,EAAE,EAAE,KAAK,KAAKuF,EAAE1E,CAAC,EAAEH,EAAEsC,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAEsC,EAAE5E,EAAE,OAAO,CAAC,CAAC,SAAS,EAAE,iBAAiB,MAAM,EAAE,gBAAgB,GAAG,EAAE,gBAAgB,EAAE,CAACuB,EAAE,GAAG,IAAIsD,EAAE,KAAK,MAAMlH,EAAE,CAAC,EAAE,MAAM,CAAC,GAAG,EAAE,EAAE,gBAAgB,EAAE2E,EAAE3E,EAAE,CAAC,EAAE,MAAM,CAAC,EAAEqC,EAAEk6C,GAAGv8C,EAAEkH,EAAEvC,CAAC,EAAElD,EAAEzB,EAAEA,EAAEu8C,GAAGv8C,EAAE,EAAEkH,CAAC,EAAE,EAAEq1C,GAAG/6C,EAAE0F,EAAEvC,CAAC,EAAEjD,EAAEF,EAAEA,EAAE+6C,GAAG/6C,EAAE,EAAE0F,CAAC,EAAED,EAAE5E,EAAE,OAAO,CAAC,CAAC,MAAM,EAAE,iBAAiB,OAAOuB,EAAE,IAAI,IAAIa,EAAEzE,EAAE,OAAOwB,CAAC,EAAE,OAAOe,CAAC,EAAE,KAAK,iCAAiC,EAAE,IAAI6B,EAAE,KAAK,kBAAkB,EAAEC,EAAE,KAAK,uBAAuB,EAAEC,EAAEC,EAAEX,GAAG,KAAK,iBAAiB,EAAEU,EAAE,KAAK,aAAaC,EAAEF,EAAE,MAAM,EAAE,OAAOA,EAAE,IAAI6C,GAAG,OAAOA,CAAC,CAAC,IAAI5C,EAAE,KAAK2C,EAAE,CAAC,EAAE1C,EAAEF,EAAE,MAAM,GAAG,IAAIG,EAAEyzC,GAAG,EAAE,UAAU,EAAE,UAAU,EAAE,OAAO,MAAM,KAAK,QAAQ7zC,EAAEK,EAAEJ,EAAE7B,EAAE,EAAE,OAAO,EAAE,QAAQgC,EAAEF,EAAE2C,EAAE,EAAE,QAAQ1C,EAAE,EAAE,aAAa,KAAK,IAAI,CAAC,QAAC,CAAQ,KAAK,WAAW,GAAGo4C,GAAG38C,EAAEO,CAAC,EAAEo8C,GAAGn7C,EAAE3B,CAAC,EAAE88C,GAAGl7C,EAAElB,CAAC,EAAEo8C,GAAGj7C,EAAE7B,CAAC,EAAE88C,GAAGt6C,EAAEV,CAAC,EAAEg7C,GAAG,EAAE,CAAC,EAAEp6C,GAAG,MAAM5R,GAAG4R,CAAC,CAAC,CAAC,CAAC,MAAM,QAAQhC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,EAAEE,EAAEC,EAAEC,EAAE,CAACzC,GAAG,OAAOA,EAAE,IAAIwB,GAAG,OAAOA,EAAE,GAAGa,GAAG,OAAOA,EAAE,IAAIE,GAAG,OAAOA,EAAE,GAAG,IAAIoB,EAAE,GAAG,GAAGhC,GAAG,MAAM,GAAG,OAAOgC,EAAE,IAAIlB,GAAG,OAAOkB,EAAE,GAAGnB,GAAG,MAAM,MAAM,IAAIumC,EAAE,kGAAkG,EAAE,IAAInlC,EAAE,KAAK,gBAAgB/D,EAAEG,EAAEwC,EAAE,iBAAiB,EAAEyE,EAAErD,GAAG,OAAOqD,EAAEilC,GAAG,EAAEtoC,CAAC,GAAGnC,GAAG,OAAOA,EAAE,GAAG,GAAG,CAAC,aAAagD,EAAE,QAAQL,CAAC,EAAE+zC,GAAGz2C,EAAED,EAAED,EAAEe,EAAEqB,EAAEpB,EAAExC,EAAE2D,EAAE,CAAC,EAAEc,EAAE,SAAS,IAAI,EAAE,KAAK,QAAQL,EAAE,MAAMK,EAAE,aAAa,EAAE,KAAK,cAAc,GAAG,QAAQJ,EAAE9B,EAAE8B,EAAE7C,EAAE,EAAE6C,EAAE,CAAC,MAAMI,EAAE,aAAaJ,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,GAAG9B,GAAG,KAAK,MAAM,IAAIwmC,GAAG,4CAA4C,EAAE,CAAC,GAAG3mC,IAAI,QAAQ,MAAM,IAAI2mC,GAAG,wCAAwC,EAAE3mC,GAAGlE,EAAE,QAAQ8I,CAAC,EAAE,IAAI1C,EAAE1H,GAAGoK,CAAC,EAAEzC,EAAEi4C,GAAG74C,EAAE5D,CAAC,EAAE,QAAQ0E,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIwC,EAAE,CAAC,EAAE,GAAG,MAAMzC,EAAE,aAAaC,EAAEwC,CAAC,EAAE7J,EAAE,IAAI,CAAC,IAAIsH,EAAEH,EAAEE,CAAC,EAAE,CAAC,EAAEE,EAAEJ,EAAEE,CAAC,EAAE,CAAC,EAAEG,EAAE+nC,GAAGroC,EAAEI,EAAEC,EAAED,CAAC,EAAEuC,EAAE,MAAMxC,EAAEwC,EAAE,KAAKtC,EAAED,EAAE,IAAIG,EAAE03C,GAAG38C,EAAEgF,CAAC,EAAEE,EAAExE,EAAEuE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAI2C,EAAE,EAAE3C,CAAC,EAAEoC,EAAErC,EAAEC,CAAC,EAAEkC,EAAES,CAAC,EAAEP,EAAErT,GAAGqT,CAAC,CAAC,CAAC,GAAG1C,IAAIF,EAAE,OAAO,GAAGb,EAAE,CAAC,IAAIqB,EAAE,KAAK,SAASrD,EAAE,EAAE3B,CAAC,EAAE,QAAQ2H,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIP,EAAE,EAAEO,CAAC,EAAEC,EAAE5C,EAAE2C,CAAC,EAAE5T,GAAG6T,CAAC,EAAEtD,EAAE,OAAO8C,CAAC,EAAEQ,CAAC,CAAC,CAAC,CAAC,EAAE,MAAMnD,EAAE,WAAWC,EAAEwC,CAAC,EAAE0wC,GAAG1wC,CAAC,EAAE,KAAK,cAAc,KAAK,CAAC3C,EAAE,QAAQ,CAAC,CAAC,GAAG,MAAME,EAAE,WAAWJ,EAAEC,CAAC,EAAE,KAAK,cAAc,KAAK,CAAC,OAAO,MAAMG,EAAE,WAAW,EAAE,MAAM,KAAK,QAAQ,SAAS,EAAE,KAAK,OAAO,CAAC,MAAM,WAAWlE,EAAEV,EAAE,CAAC,OAAOo8C,GAAG,KAAK17C,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,oBAAoBU,EAAEV,CAAC,EAAEG,EAAE,EAAE,CAAC,EAAEwB,EAAE,EAAE,CAAC,EAAEE,EAAE,KAAK,kBAAkB,EAAE1B,EAAE,OAAOwB,CAAC,CAAC,EAAEG,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,CAAC,IAAIW,EAAE,MAAMT,EAAE,KAAK,EAAED,EAAE,KAAKU,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO1R,GAAG+Q,CAAC,EAAEi7C,GAAG,EAAE,CAAC,EAAEp8C,CAAC,EAAEo8C,GAAG,EAAE,CAAC,EAAE98C,CAAC,EAAEypC,GAAG3nC,CAAC,CAAC,CAAC,gBAAgBpB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,EAAEU,GAAG,MAAMA,EAAE,cAAcP,EAAE,EAAE,KAAK,iBAAiB,KAAK,QAAQwB,EAAE,KAAK,WAAW,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEzB,EAAE,OAAO,EAAEyB,EAAE,GAAG,CAACzB,EAAEyB,CAAC,EAAE,WAAW5B,EAAE,KAAK,CAAC,KAAKG,EAAEyB,CAAC,EAAE,aAAa,OAAOD,EAAEC,CAAC,CAAC,CAAC,EAAE,OAAO5B,CAAC,CAAC,IAAI,aAAaU,EAAE,CAAC,KAAK,cAAcA,CAAC,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,aAAaA,IAAI,KAAK,WAAWA,EAAE,KAAK,iBAAiB,GAAG,CAAC,SAAS,CAAC,IAAIA,EAAE,MAAM,QAAQ,EAAE,GAAGA,EAAE,uBAAuB,GAAG,KAAK,WAAW,MAAM,KAAK,iBAAiB,CAAC,IAAIV,EAAE/J,GAAG,EAAE,WAAW,KAAK,WAAW,QAAQ,EAAEyK,EAAE,sBAAsBV,EAAE/J,GAAG,EAAE,UAAU,CAAC,OAAOyK,CAAC,CAAC,oBAAoB,CAAC,IAAIA,EAAE,GAAG,OAAO,KAAK,MAAM,SAASA,EAAEipC,GAAG,KAAK,IAAI,UAAU,MAAM,QAAQ,KAAK,IAAI,EAAE,CAAC,QAAQ3pC,KAAK,KAAK,KAAK,GAAG,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,oDAAoD,EAAEU,EAAE,KAAK,KAAK,IAAIV,GAAG2pC,GAAG3pC,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEU,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,KAAK,QAAQP,KAAKH,EAAE,GAAG,OAAO,EAAEG,CAAC,GAAG,SAASO,EAAEP,CAAC,EAAEwpC,GAAG,EAAExpC,CAAC,CAAC,MAAO,OAAM,IAAI,MAAM,oDAAoD,CAAC,CAAC,OAAOO,CAAC,CAAC,sBAAsB,CAAC,GAAG,OAAO,KAAK,SAAS,UAAU,OAAO,KAAK,SAAS,WAAW,MAAM,CAACipC,GAAGmR,GAAG,KAAK,OAAO,CAAC,CAAC,EAAE,GAAG,MAAM,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,QAAQ,IAAIp6C,GAAGipC,GAAGmR,GAAGp6C,CAAC,CAAC,CAAC,EAAE,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,QAAQU,EAAEV,CAAC,EAAE2pC,GAAGmR,GAAG,KAAK,QAAQ96C,CAAC,CAAC,CAAC,EAAE,OAAOU,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAM,CAAC,KAAK,KAAK,mBAAmB,EAAE,QAAQ,KAAK,qBAAqB,EAAE,iBAAiB,CAAC,WAAW,KAAK,UAAU,aAAa,EAAE,OAAO,KAAK,UAAU,UAAU,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAE,kBAAkB,KAAK,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,cAAc,KAAK,MAAM,IAAI,MAAM,4CAA4C,EAAE,GAAGA,EAAE,oBAAoB,KAAK,MAAM,IAAI,MAAM,kDAAkD,EAAE,IAAIV,EAAEy7C,GAAG/6C,EAAE,gBAAgB,EAAE,EAAE63C,GAAGv4C,CAAC,EAAEG,EAAE,GAAG,OAAOO,EAAE,MAAM,SAASP,EAAEypC,GAAGlpC,EAAE,IAAI,UAAU,MAAM,QAAQA,EAAE,IAAI,EAAEP,EAAEO,EAAE,KAAK,IAAIkB,GAAGgoC,GAAGhoC,CAAC,CAAC,UAAUlB,EAAE,MAAM,KAAK,CAACP,EAAE,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,KAAKP,EAAEyB,CAAC,EAAEgoC,GAAGlpC,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,IAAID,EAAE,GAAG,MAAM,QAAQjB,EAAE,OAAO,EAAEiB,EAAEjB,EAAE,QAAQ,IAAIkB,GAAGgoC,GAAGhoC,CAAC,CAAC,UAAUlB,EAAE,SAAS,KAAK,CAACiB,EAAE,CAAC,EAAE,QAAQC,KAAKlB,EAAE,QAAQiB,EAAEC,CAAC,EAAEgoC,GAAGlpC,EAAE,QAAQkB,CAAC,CAAC,CAAC,CAAC,KAAK,QAAQ,CAAC,KAAKzB,EAAE,QAAQwB,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC,MAAM,KAAKjB,EAAEV,EAAE,CAAC,GAAG,OAAOU,GAAG,SAAS,CAAC,IAAIqB,EAAElO,GAAG,gBAAgB6M,CAAC,EAAE,GAAGqB,EAAE,SAAS,EAAE,MAAM,IAAImnC,EAAE,0CAA0CxoC,IAAI,EAAE,GAAGqB,EAAE,OAAO,EAAE,MAAM,IAAImnC,EAAE,wBAAwBnnC,EAAE,kCAAkCrB,IAAI,EAAEA,EAAEqB,EAAE,CAAC,CAAC,CAAC,GAAGrB,EAAE,MAAM,KAAK,MAAM,IAAIwoC,EAAE,8GAA8G,EAAE,IAAI,EAAE,MAAMr1C,GAAG,cAAc,KAAK,gBAAgBmM,CAAC,CAAC,EAAEG,EAAE,GAAGwB,EAAE,KAAKE,EAAE,CAAC,cAAc,KAAK,OAAOF,EAAExB,CAAC,EAAE,OAAOo9C,GAAG,YAAY,8BAA8Bz+C,KAAK,YAAY,IAAI,EAAE,GAAIkB,GAAG,MAAQA,EAAE,kBAAmB,KAAK,WAAW,KAAK,CAAC6B,EAAE,eAAe,KAAK,kBAAkB,EAAE,IAAIE,EAAE,YAAY,CAAC,KAAKS,EAAE,MAAMC,CAAC,EAAE,MAAM5O,GAAG,cAAc,MAAM,KAAK,UAAU,WAAW,EAAEkO,CAAC,EAAE,EAAE,MAAM,KAAK,GAAGU,CAAC,EAAE,EAAE,KAAK5O,GAAG,wBAAwB,CAAC,EAAE,KAAK2O,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,qBAAqB,OAAOw4C,GAAG,KAAK,oBAAoB,KAAK,KAAK,EAAE,EAAEn5C,EAAE,oBAAoB,KAAK,qBAAqBA,EAAE,WAAW,EAAE,KAAKA,EAAE,YAAY,EAAE,MAAMnB,EAAE,KAAKmB,CAAC,CAAC,CAAC,uBAAuBnB,EAAE,CAACs6C,GAAGt6C,EAAE,KAAK,IAAI,EAAE,KAAK,oBAAoBA,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,mBAAmB,CAAC,EAAE9a,GAAG,UAAU,QAAQ4U,GAAE,cAAc5U,EAAE,EAAE,IAAI43D,GAAG,cAAc53D,EAAE,CAAC,EAAE43D,GAAG,UAAU,aAAahjD,GAAE,cAAcgjD,EAAE,EAAE,eAAeC,GAAG39C,EAAE,EAAE,CAAC,kBAAkBA,IAAIA,EAAE,CAAC,cAAcA,CAAC,GAAGA,EAAEA,EAAE,IAAIE,EAAEF,EAAE,cAAcE,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAIE,EAAEu7C,GAAGz7C,CAAC,EAAEG,EAAEo4C,GAAGr4C,EAAE,CAAC,EAAE,GAAGJ,EAAE,iBAAiB,KAAK,CAAC,IAAI,EAAE,MAAMjM,GAAG,YAAYiM,EAAE,gBAAgBA,EAAE,WAAWK,EAAE,QAAQ,IAAI0B,GAAGA,EAAE,YAAY,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQA,KAAK1B,EAAE,QAAQ,EAAE0B,EAAE,YAAY,EAAE,EAAEA,EAAE,YAAY,EAAE1B,EAAE,YAAY,CAAC,EAAErP,GAAG,CAAC,CAAC,CAAC,OAAOqP,CAAC,CAAC,eAAevL,GAAGkL,EAAE,EAAE,CAAC,GAAG,GAAG,OAAO,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAEnM,GAAG,gBAAgBiM,EAAE,CAAC,EAAE,GAAGE,EAAE,SAAS,EAAEA,EAAE,KAAKnM,GAAG,mBAAmBiM,EAAE,CAAC,CAAC,UAAUE,EAAE,OAAO,EAAE,MAAM,IAAIkpC,EAAE,wBAAwBlpC,EAAE,kCAAkCF,IAAI,EAAEA,EAAEE,EAAE,CAAC,CAAC,CAAC,OAAO09C,GAAG59C,EAAE,OAAO,CAAC,CAAC,CAAC,eAAe49C,GAAG59C,EAAE,EAAEE,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAGF,EAAE,MAAM,KAAK,MAAM,IAAIopC,EAAE,+GAA+G,EAAE,IAAIhpC,EAAE,MAAMJ,EAAE,KAAK,EAAEK,EAAED,EAAE,cAAcC,EAAE,cAAc,OAAOA,EAAEA,EAAE,cAAc,IAAI,EAAEH,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,EAAEE,EAAE,YAAY,MAAMA,EAAE,aAAa,MAAM,EAAE2B,EAAE02C,GAAGkD,GAAGt7C,CAAC,EAAE,EAAE,CAAC,EAAE2B,EAAE5B,EAAE,eAAe,GAAG4B,GAAG,MAAMD,EAAE,mBAAmBC,CAAC,EAAE5B,EAAE,qBAAqB,MAAM2B,EAAE,uBAAuB3B,EAAE,mBAAmB,EAAEA,EAAE,YAAY,KAAK,CAAC,GAAGA,EAAE,aAAa,KAAK,MAAM,IAAIgpC,EAAE,gHAAgH,EAAE,GAAG,CAAC,aAAannC,EAAE,iBAAiBS,CAAC,EAAEm7C,GAAGz9C,EAAE,WAAWA,EAAE,WAAW,EAAE2B,EAAE,YAAYE,EAAE,CAAC,EAAEF,EAAE,WAAW,MAAMW,EAAE,OAAO,GAAG,MAAMX,EAAE,UAAU,WAAWW,CAAC,EAAE1R,GAAGiR,CAAC,EAAEjR,GAAG0R,EAAE,IAAIC,GAAGA,EAAE,MAAM,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAAS87C,GAAG79C,EAAE,EAAE,CAAC,IAAIE,EAAEnM,GAAG,cAAciM,EAAE,CAAC,EAAEI,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,GAAG,CAAC,EAAE,QAAQ,YAAYA,EAAE,KAAK,CAAC,KAAK,EAAE,KAAK,OAAOH,EAAE,EAAE,IAAI,CAAC,CAAC,EAAEE,EAAE,EAAE,IAAI,EAAEF,EAAE,EAAE,IAAI,CAAC,CAAC,EAAE,CAAC,aAAaE,EAAE,iBAAiBC,CAAC,CAAC,CAAC,IAAI/V,GAAG,cAAcxE,EAAE,CAAC,YAAY8a,EAAE,CAAC,GAAG,MAAM,CAAC,OAAO,CAAC,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAEA,EAAEA,GAAG,CAAC,EAAE,KAAK,UAAU,GAAG,KAAK,MAAM,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAKA,EAAE,KAAKoqC,GAAG,aAAa,EAAEpqC,EAAE,QAAQ,KAAK,QAAQV,KAAKU,EAAE,OAAO,KAAK,IAAIV,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,GAAGA,EAAE,aAAa,CAAC,EAAE,cAAc,CAAC,EAAE,MAAM,KAAKR,GAAGA,EAAE,CAAC,EAAE,MAAM,IAAIgpC,EAAE,kDAAkDxoC,EAAE,0BAA0BA,EAAE,aAAa,CAAC,EAAE,aAAa,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAEU,aAAatW,IAAIsW,aAAa9a,GAAG,EAAE,GAAGoa,EAAE,CAAC,GAAG,EAAEU,EAAE,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uHAAuH,EAAE,GAAG,EAAE,OAAO,SAAS,EAAE,MAAM,IAAIA,EAAE,qHAAqH,CAAC,CAAC,GAAG,KAAK,QAAQ,SAAS,EAAE,CAAC,GAAGxoC,EAAE,aAAa,SAAS,EAAE,CAAC,GAAGA,EAAE,iBAAiB,KAAK,MAAM,IAAIwoC,EAAE,+FAA+F,EAAE,IAAI/oC,EAAEswC,GAAG,CAAC,WAAW/vC,EAAE,gBAAgB,MAAMA,EAAE,MAAM,KAAKA,EAAE,KAAK,QAAQ,CAAC,EAAEA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGH,EAAE,KAAK,QAAQ,EAAE,QAAQ,KAAK,OAAO,EAAE,WAAW,CAAC,GAAGU,EAAE,aAAa,SAAS,EAAE,MAAM,IAAIwoC,EAAE,gHAAgHxoC,EAAE,kBAAkBA,EAAE,aAAa,0CAA0C,EAAE,GAAGA,EAAE,aAAa,CAAC,EAAE,cAAc,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uHAAuH,EAAE,KAAK,WAAWxoC,CAAC,EAAE,KAAK,QAAQ,CAACA,EAAE,aAAa,CAAC,EAAE,cAAc,CAAC,CAAC,EAAE,KAAK,OAAO6vC,GAAG,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,KAAK,aAAa,CAAC,EAAE,IAAIL,GAAG,CAAC,cAAc,KAAK,cAAc,CAAC,EAAE,YAAY,CAAC,EAAE,cAAc,CAAC,EAAE,aAAa,KAAK,OAAO,cAAc,KAAK,QAAQ,WAAW5G,GAAG,KAAK,KAAK,OAAO,MAAM,EAAE,YAAY,CAAC,IAAI,EAAE,YAAY,KAAK,OAAO,IAAInpC,GAAGA,EAAE,KAAK,EAAE,aAAa,KAAK,QAAQ,CAAC,EAAE,KAAK,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEO,EAAE,MAAM,KAAK,QAAQ,CAAC,CAAC,EAAE,GAAG,MAAM,QAAQP,CAAC,EAAE,MAAM,IAAI,UAAU,uHAAuH,EAAE,KAAK,WAAWO,CAAC,EAAE,KAAK,QAAQ,CAACP,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,cAAc,KAAK,QAAQ,KAAK,aAAa,CAAC,EAAE,aAAa,CAAC,KAAK,QAAQ,CAAC,EAAE,KAAK,CAAC,CAAC,KAAK,OAAO,KAAKO,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAK,CAAC,GAAG,KAAK,OAAO,SAAS,EAAE,MAAM,IAAI,UAAU,mCAAmC,EAAE,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,OAAO,SAAS,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,cAAc,CAAC,MAAM,CAAC,IAAIA,EAAE,KAAK,OAAO,OAAO,EAAE,KAAK,OAAOA,CAAC,EAAE,cAAc,CAAC,EAAE,KAAK,QAAQ,CAAC,KAAK,OAAOA,CAAC,EAAE,MAAM,EAAE,KAAK,aAAa,CAAC,EAAE,cAAc,KAAK,QAAQ,KAAK,aAAa,CAAC,EAAE,aAAa,CAAC,KAAK,QAAQ,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,KAAKU,EAAEV,CAAC,CAAC,CAAC,MAAMU,EAAE,CAAC,GAAGivC,GAAGjvC,CAAC,EAAE,KAAK,OAAO,SAAS,GAAG,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,UAAU,0EAA0E,EAAE,KAAK,MAAM,IAAI9a,GAAG,CAAC,OAAO,KAAK,OAAO,QAAQ,KAAK,QAAQ,CAAC,EAAE,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,KAAK,MAAM,UAAU,KAAK,UAAU,KAAK,gBAAgB,KAAK,MAAM,gBAAgB,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,uBAAuB,KAAK,MAAM,uBAAuB,KAAK,yBAAyB,KAAK,MAAM,yBAAyB,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,wBAAwB,KAAK,MAAM,wBAAwB,KAAK,0BAA0B,KAAK,MAAM,0BAA0B,KAAK,aAAa,KAAK,MAAM,aAAa,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,YAAY,KAAK,MAAM,YAAY,KAAK,WAAW,KAAK,MAAM,WAAW,KAAK,MAAM,EAAE,CAAC,aAAa,CAAC,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,YAAY,CAAC,CAAC,QAAQ8a,EAAEV,EAAE,EAAE,QAAQ,IAAI,CAAC,KAAK,OAAO,KAAK,MAAM,EAAE,MAAM,QAAQU,EAAEV,EAAE,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,SAASA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,SAASvoC,EAAEV,EAAE,CAAC,CAAC,CAAC,MAAM,gBAAgBU,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,gBAAgBvoC,EAAEV,CAAC,CAAC,CAAC,QAAQU,EAAEV,EAAE,CAAC,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQU,EAAEV,CAAC,CAAC,CAAC,eAAeU,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK,MAAM,eAAeA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,KAAK,MAAM,EAAE,KAAK,MAAM,QAAQA,CAAC,EAAE,KAAK,WAAW,KAAK,MAAM,UAAU,KAAK,iBAAiB,KAAK,MAAM,iBAAiB,KAAK,KAAK,KAAK,MAAM,KAAK,KAAK,QAAQ,KAAK,MAAM,QAAQ,KAAK,eAAe,KAAK,MAAM,eAAe,KAAK,aAAa,KAAK,MAAM,YAAY,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,KAAK,MAAM,SAAS,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,MAAM,UAAUA,CAAC,CAAC,MAAM,IAAIA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,IAAIvoC,EAAEV,EAAE,CAAC,CAAC,CAAC,MAAM,WAAWU,EAAEV,EAAE,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,IAAIipC,GAAG,mDAAmD,EAAE,OAAO,KAAK,MAAM,WAAWvoC,EAAEV,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,aAAaU,EAAEV,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,EAAE,CAAC,EAAEG,EAAE,GAAG,CAAC,IAAIwB,EAAEC,EAAE,CAAC,EAAE,GAAG5B,aAAa,MAAM,CAAC,GAAGA,EAAE,CAAC,EAAE,WAAW,MAAMA,EAAE,CAAC,EAAE,YAAY,QAAQ,MAAM,IAAIkpC,EAAE,gDAAgD,EAAEvnC,EAAE3B,CAAC,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,KAAK,IAAI,qHAAqH,EAAE2B,EAAE3B,EAAE,OAAO,OAAOA,EAAE,OAAO4B,EAAE5B,EAAE,IAAI6B,EAAE,IAAInB,EAAEkB,CAAC,EAAE,GAAG,EAAEC,aAAazX,IAAI,MAAM,IAAI++C,GAAG,yDAAyDtnC,GAAG,EAAE,QAAQC,KAAKH,EAAE,CAAC,IAAIa,EAAE+1C,GAAGz2C,EAAE,OAAO3B,CAAC,EAAEA,GAAGqC,EAAE,6BAA6B,EAAE,EAAEX,EAAE,IAAIW,CAAC,CAAC,CAAC,OAAOX,CAAC,CAAC,IAAI,aAAanB,EAAE,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIwoC,EAAE,mFAAmF,EAAE,KAAK,MAAM,aAAaxoC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,KAAK,OAAO,KAAK,MAAM,IAAIwoC,EAAE,mFAAmF,EAAE,OAAO,KAAK,MAAM,YAAY,CAAC,WAAW,CAAC,IAAIxoC,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,OAAO,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,aAAa,EAAE,EAAE,OAAOA,EAAE,UAAU,EAAEU,EAAE,KAAK,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,EAAEtW,GAAG,UAAU,aAAaoQ,GAAE,cAAcpQ,EAAE,EAAE,SAASoM,GAAGsJ,EAAE,CAAC,OAAO,IAAIla,GAAGka,CAAC,CAAC,CAAC,SAASvF,GAAGuF,EAAE,CAAC,OAAO,IAAI1V,GAAG0V,CAAC,CAAC,CAAC,SAASlM,GAAGkM,EAAE,CAAC,OAAO2wC,GAAG3wC,CAAC,CAAC,CAAC,SAAS9G,GAAG8G,EAAE,EAAE,CAACu4C,GAAG,4BAA4Bv4C,EAAE,CAAC,CAAC,CAAC,IAAI89C,GAAG,cAAcpjD,GAAE,YAAY,CAAC,WAAW,CAAC,MAAM,CAAC,CAAC,CAAC,EAAEqjD,GAAG,cAAcD,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,EAAE,CAAC,OAAO0tC,GAAGhtC,EAAEV,CAAC,CAAC,CAAC,EAAE69C,GAAG,UAAU,MAAMrjD,GAAE,cAAcqjD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOrG,GAAGqG,CAAC,CAAC,CAAC,EAAEo9C,GAAG,UAAU,OAAOtjD,GAAE,cAAcsjD,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOrH,GAAGqH,CAAC,CAAC,CAAC,EAAEq9C,GAAG,UAAU,OAAOvjD,GAAE,cAAcujD,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOlD,EAAE,IAAInH,GAAG,EAAEgD,GAAGqH,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEs9C,GAAG,UAAU,QAAQxjD,GAAE,cAAcwjD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOA,CAAC,CAAC,EAAEu9C,GAAG,UAAU,SAASzjD,GAAE,cAAcyjD,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO1F,GAAG0F,CAAC,CAAC,CAAC,EAAEw9C,GAAG,UAAU,UAAU1jD,GAAE,cAAc0jD,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOmtC,GAAGntC,CAAC,CAAC,CAAC,EAAEy9C,GAAG,UAAU,cAAc3jD,GAAE,cAAc2jD,EAAE,EAAE,IAAIC,GAAG,cAAcR,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO9E,GAAG8E,CAAC,CAAC,CAAC,EAAE09C,GAAG,UAAU,WAAW5jD,GAAE,cAAc4jD,EAAE,EAAE,IAAIC,GAAG,cAAcT,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOitC,GAAGjtC,CAAC,CAAC,CAAC,EAAE29C,GAAG,UAAU,WAAW7jD,GAAE,cAAc6jD,EAAE,EAAE,IAAIC,GAAG,cAAcV,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAO5D,GAAG4D,CAAC,CAAC,CAAC,EAAE49C,GAAG,UAAU,OAAO9jD,GAAE,cAAc8jD,EAAE,EAAE,IAAIC,GAAG,cAAcX,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,GAAG,CAAC,OAAOrE,GAAG+E,EAAEV,CAAC,CAAC,CAAC,EAAEu+C,GAAG,UAAU,UAAU/jD,GAAE,cAAc+jD,EAAE,EAAE,IAAIC,GAAG,cAAcZ,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,GAAG,CAAC,OAAO/K,GAAGyL,EAAEV,CAAC,CAAC,CAAC,EAAEw+C,GAAG,UAAU,aAAahkD,GAAE,cAAcgkD,EAAE,EAAE,IAAIC,GAAG,cAAcb,EAAE,CAAC,MAAMl9C,EAAEV,EAAE,EAAE,CAAC,OAAOxC,EAAE,IAAI5G,EAAEoE,GAAGpE,EAAE8J,EAAEV,CAAC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,EAAE+9C,GAAG,UAAU,QAAQjkD,GAAE,cAAcikD,EAAE,EAAE,IAAIC,GAAG,cAAcd,EAAE,CAAC,MAAMl9C,EAAE,CAAC,OAAOlD,EAAE,IAAI5G,EAAE8J,EAAE5D,GAAGlB,GAAG8E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEg+C,GAAG,UAAU,OAAOlkD,GAAE,cAAckkD,EAAE,EAAE,SAASC,GAAG7+C,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,CAAC,SAAS8+C,GAAG9+C,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,YAAY,CAAC,CAAC,SAASqkD,GAAG/+C,EAAE,CAAC,GAAGA,GAAG,KAAK,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAU,SAAS,EAAE,OAAO,CAAC,EAAE8+C,GAAG,CAAC,CAAC,CAAC,GAAG,OAAO9+C,GAAG,SAAS,CAAC,IAAI,EAAE,CAAC,EAAE,OAAO,EAAE,UAAUA,EAAE,EAAE,OAAO,CAAC,EAAE8+C,GAAG,CAAC,CAAC,KAAM,QAAO9+C,aAAa89C,GAAG99C,EAAE8+C,GAAG9+C,CAAC,CAAC,CAAC,SAASg/C,GAAGh/C,EAAE,CAAC,GAAGA,GAAG,MAAM,OAAOA,GAAG,SAAS,MAAM,IAAI,MAAM,yFAAyFA,GAAG,CAAC,CAAC,IAAIi/C,GAAG,cAAcvkD,GAAE,YAAY,CAAC,EAAEwkD,GAAG,cAAcD,EAAE,CAAC,YAAYr+C,EAAE,CAAC,MAAM,EAAEo+C,GAAGp+C,CAAC,EAAE,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,GAAGA,GAAG,MAAMA,EAAE,IAAI,KAAK,IAAIA,EAAE,GAAG,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,MAAMA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEX,GAAG,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,QAAQW,EAAEhT,EAAEgT,EAAErD,GAAG/F,EAAE,KAAK,GAAG/J,GAAG6T,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,QAAQV,EAAEhT,EAAEgT,EAAErD,GAAG/F,EAAE,KAAK,GAAG42C,GAAG9sC,CAAC,CAAC,CAAC,CAAC,GAAGlH,EAAEwG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,MAAM,CAAC,GAAG,KAAK,GAAG,GAAG,KAAK,EAAE,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAE,CAAC,GAAGV,EAAE,GAAG,GAAGA,EAAE,EAAE,CAAC,CAAC,CAAC,EAAEg/C,GAAG,UAAU,OAAOxkD,GAAE,cAAcwkD,EAAE,EAAE,SAASC,GAAGn/C,EAAE,CAAC,OAAOg/C,GAAGh/C,CAAC,EAAE,IAAIk/C,GAAG,CAAC,GAAGl/C,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,SAASo/C,GAAGp/C,EAAE,CAAC,OAAOg/C,GAAGh/C,CAAC,EAAE,IAAIk/C,GAAG,CAAC,GAAGl/C,GAAG,KAAKA,EAAE,GAAG,KAAK,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIq/C,GAAG,CAAC,KAAK,MAAM,EAAE,SAASC,GAAGt/C,EAAE,CAAC,OAAOgqC,GAAGhqC,CAAC,CAAC,CAAC,SAASu/C,GAAGv/C,EAAE,EAAE,CAAC,EAAE,CAAC,OAAOkqC,GAAGlqC,EAAEtF,GAAE,iBAAiB,OAAO,EAAE,aAAa,EAAE,aAAa,CAAC,CAAC,SAAS8kD,GAAGx/C,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,OAAOA,GAAG,SAAS,CAAC,IAAIE,EAAE,CAAC,UAAUF,KAAKq/C,GAAGA,GAAGr/C,CAAC,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAE,OAAOu/C,GAAGr/C,CAAC,CAAC,KAAM,QAAOF,aAAai/C,GAAGj/C,EAAEu/C,GAAGv/C,CAAC,CAAC,CAAC,IAAIy/C,GAAG,cAAcnP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,KAAKA,EAAEV,EAAE,CAACU,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAErH,GAAGqH,CAAC,EAAE,OAAO,KAAK,UAAU,OAAO,EAAE3R,GAAG,EAAE,EAAE,KAAK,QAAQ,GAAG,CAAC,CAAC,mBAAmB2R,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,QAAQ,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE6+C,GAAG,UAAU,OAAO/kD,GAAE,cAAc+kD,EAAE,EAAE,IAAIC,GAAG,cAAcpP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOrM,GAAG,EAAE,KAAK,KAAK,CAAC,CAAC,mBAAmBqM,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE8+C,GAAG,UAAU,YAAYhlD,GAAE,cAAcglD,EAAE,EAAE,IAAIC,GAAG,cAAcrP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,0BAA0B,QAAQA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,gBAAgB,GAAG,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,KAAK,yBAAyB,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,EAAE,KAAK,gBAAgBwxC,GAAGxxC,EAAE,eAAe,EAAEA,EAAE,YAAY,KAAK,KAAK,WAAW,aAAa,MAAM,QAAQA,EAAE,UAAU,EAAE,KAAK,WAAWA,EAAE,mBAAmB,OAAOA,EAAE,YAAY,SAAS,KAAK,WAAW,CAACA,EAAE,UAAU,MAAO,OAAM,IAAIwoC,EAAE,sEAAsExoC,EAAE,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQP,KAAK,KAAK,WAAWH,EAAEG,EAAE,CAAC,EAAE,EAAE,KAAK,MAAM,KAAK,UAAU,QAAQH,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,EAAE,IAAI,EAAE,CAAC,EAAE,GAAG,KAAK,YAAY,KAAK,QAAQG,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,EAAEA,CAAC,EAAEO,EAAEP,CAAC,EAAE,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAKsb,EAAE,OAAO,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOU,EAAEgvC,GAAGhvC,CAAC,EAAE3I,GAAG2I,EAAE,KAAK,MAAM,KAAK,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,iBAAiB4uC,GAAG,KAAK,gBAAgB,EAAE,iBAAiB8P,GAAG,KAAK,gBAAgB,EAAE,gBAAgBpN,GAAG,KAAK,eAAe,EAAE,WAAW,KAAK,UAAU,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE++C,GAAG,UAAU,QAAQjlD,GAAE,cAAcilD,EAAE,EAAE,IAAIC,GAAG,cAActP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,QAAQ,KAAK,cAAc,MAAM,IAAIyoC,GAAG,4BAA4BzoC,EAAE,+CAA+C,EAAE,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOrP,GAAG,CAAC,CAAC,CAAC,mBAAmBqP,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEg/C,GAAG,UAAU,MAAMllD,GAAE,cAAcklD,EAAE,EAAE,IAAIC,GAAG,cAAcvP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,cAAc,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,MAAMA,EAAE,OAAO,KAAK,KAAK,cAAcA,EAAE,KAAK,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO9J,EAAE,EAAE/H,GAAEwE,GAAG,EAAE,KAAK,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,mBAAmBqN,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEi/C,GAAG,UAAU,kBAAkBnlD,GAAE,cAAcmlD,EAAE,EAAE,IAAIC,GAAG,cAAcxP,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,aAAa,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAI69C,GAAG,EAAE,MAAM,KAAK,KAAK79C,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,IAAI,CAAC,KAAKA,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,QAAQ,EAAE,KAAK,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEk/C,GAAG,UAAU,UAAUplD,GAAE,cAAcolD,EAAE,EAAE,SAASC,GAAG//C,EAAE,EAAEE,EAAE,CAAC,GAAG,OAAOF,GAAG,SAAS,OAAOwpC,GAAGxpC,EAAE,CAAC,EAAE,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIopC,EAAE,OAAOlpC,6CAA6C,yBAAyBF,EAAE,kBAAkB,EAAE,QAAQI,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEL,EAAEI,CAAC,EAAE,GAAG,CAAC+rC,GAAG9rC,CAAC,EAAE,MAAM,IAAI+oC,EAAE,OAAOlpC,6CAA6C,yBAAyB,KAAK,UAAUF,CAAC,oCAAoCK,GAAG,CAAC,CAAC,OAAOL,CAAC,CAAC,SAASggD,GAAGhgD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,GAAGL,GAAG,KAAK,OAAOA,EAAE,IAAI,EAAE,GAAG,EAAE,IAAIK,EAAE,GAAG,EAAE,OAAOH,IAAI,OAAO,EAAEF,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,OAAO,EAAEI,EAAE,GAAGA,CAAC,CAAC,CAAC,SAAS6/C,GAAGjgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGJ,GAAG,KAAK,OAAO,KAAK,GAAGI,IAAI,QAAQJ,EAAEA,EAAE,EAAEssC,GAAG,CAACpsC,EAAE,EAAE,CAAC,CAAC,UAAUE,IAAI,OAAOJ,EAAEA,EAAE,MAAO,OAAM,IAAIopC,EAAE,2BAA2BhpC,IAAI,EAAE,OAAOJ,CAAC,CAAC,SAASkgD,GAAGlgD,EAAE,EAAE,CAAC,OAAOtC,EAAE,KAAK6tC,GAAG,CAAC,EAAE,IAAI,gBAAgBxtC,GAAGiC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASmgD,GAAGngD,EAAE,EAAE,CAAC,OAAOtC,EAAE,KAAK6tC,GAAG,CAAC,EAAE,IAAI,gBAAgBxtC,GAAGiC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,SAASogD,GAAGpgD,EAAE,EAAEE,EAAEE,EAAE,EAAEC,EAAE,QAAQ,EAAE,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,+DAA+DppC,EAAE,MAAM,iBAAiB,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIopC,EAAE,iEAAiE,EAAE,MAAM,gBAAgB,EAAE,GAAGlpC,GAAG,MAAMA,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIkpC,EAAE,+DAA+D,EAAE,MAAM,gBAAgB,EAAE,GAAG,IAAI,kBAAkBppC,EAAEjC,GAAGiC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,IAAItnC,EAAErS,GAAGsQ,EAAE,EAAEI,EAAEC,IAAI,OAAO,OAAO,QAAQ,MAAM,CAAC,EAAE,OAAOH,GAAG,OAAO6B,EAAE4rC,GAAG5rC,EAAE7B,CAAC,GAAG6B,CAAC,CAAC,CAAC,CAAC,SAASs+C,GAAGrgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE0B,EAAE,KAAK,CAAC,OAAOrE,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,6EAA6EppC,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,8EAA8EppC,EAAE,OAAO,EAAE,IAAIgC,EAAEk+C,GAAGlgD,EAAE,CAAC,EAAE,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,OAAOrnC,EAAErP,GAAG,OAAO,CAAC,EAAEqP,EAAE,OAAO,EAAE,QAAQ5B,EAAE,IAAIC,IAAI,OAAO,OAAO,QAAQ,UAAU,EAAE,WAAW,OAAO,KAAKH,EAAE,WAAW6B,CAAC,CAAC,EAAE,IAAI,kBAAkBC,EAAEjE,GAAGiE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,SAASs+C,GAAGtgD,EAAE,EAAEE,EAAEE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,QAAQ,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,GAAG,GAAG,OAAO,EAAEgvC,GAAG,GAAGnB,GAAG,CAAC,EAAEvrC,EAAE,OAAO,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,mEAAmEppC,EAAE,OAAO,EAAE,GAAG,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,oEAAoEppC,EAAE,OAAO,EAAE,IAAI+B,EAAEo+C,GAAGngD,EAAE,CAAC,EAAE,GAAGK,IAAI,SAAS,MAAM,IAAIgpC,GAAG,+EAA+E,EAAE,OAAOtnC,EAAElS,GAAGkS,EAAE,EAAE3B,EAAEC,IAAI,OAAO,OAAO,QAAQ,QAAQ,CAAC,EAAEH,GAAG,OAAO6B,EAAE4rC,GAAG5rC,EAAE7B,CAAC,GAAG,IAAI,kBAAkB6B,EAAEhE,GAAGgE,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIw+C,GAAG,cAAcjQ,EAAE,CAAC,YAAY1vC,EAAEV,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQqgD,GAAG,WAAWrgD,CAAC,EAAE,KAAK,KAAKU,EAAE6pC,GAAG,KAAK,KAAK,MAAM,EAAE,KAAK,OAAO,GAAG,KAAK,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIpB,GAAG,qDAAqD,KAAK,+BAA+B,EAAE,GAAG,KAAK,WAAW0W,GAAG7/C,EAAE,WAAWU,EAAE,YAAY,EAAE,KAAK,QAAQm/C,GAAG7/C,EAAE,SAAS,KAAK,EAAEA,EAAE,QAAQU,EAAE,SAAS,EAAE,KAAK,QAAQV,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQurC,GAAG,KAAK,OAAO,EAAE,KAAK,WAAWvrC,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAWqrC,GAAG,KAAK,UAAU,EAAE,KAAK,WAAWwT,GAAG7+C,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,gBAAgBuvC,GAAGvvC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAekyC,GAAGlyC,EAAE,cAAc,EAAE,KAAK,gBAAgBs/C,GAAGt/C,EAAE,eAAe,EAAE,KAAK,oBAAoBs/C,GAAGt/C,EAAE,mBAAmB,EAAE,KAAK,aAAa6/C,GAAG7/C,EAAE,cAAc,KAAK,EAAEA,EAAE,aAAaU,EAAE,cAAc,EAAE,KAAK,OAAO,GAAG,MAAM,QAAQ,KAAK,YAAY,GAAG,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIwoC,EAAE,iGAAiG,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,GAAG,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,0FAA0F,KAAK,UAAU,KAAK,YAAY,GAAG,UAAU,KAAK,OAAO,GAAG,GAAG,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,UAAU,KAAK,aAAa,SAAS,EAAE,MAAM,IAAIA,EAAE,4FAA4F,KAAK,UAAU,KAAK,YAAY,GAAG,EAAE,CAAC,OAAO,WAAWxoC,EAAE,CAAC,GAAG6oC,GAAG,eAAe7oC,EAAE,yCAAyC,EAAE,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,oGAAoG,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,WAAWi+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,gBAAgBrP,GAAG,KAAK,eAAe,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAepN,GAAG,KAAK,cAAc,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE4/C,GAAG,cAAcD,EAAE,CAAC,YAAY3/C,EAAEV,EAAE,CAAC,MAAMU,EAAEV,CAAC,EAAE,KAAK,OAAO,KAAKsgD,GAAG,WAAWtgD,CAAC,EAAE,KAAK,QAAQA,EAAE,QAAQuqC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,kBAAkBgF,GAAGvvC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,iBAAiBkyC,GAAGlyC,EAAE,gBAAgB,EAAE,KAAK,kBAAkBs/C,GAAGt/C,EAAE,iBAAiB,CAAC,CAAC,MAAMU,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,CAAC,GAAG,KAAK,MAAM,IAAIkpC,EAAE,+DAA+DxoC,EAAEV,CAAC,GAAG,EAAE,IAAI,EAAEU,EAAEV,CAAC,EAAEG,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAACH,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAEwB,EAAE+oC,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE,GAAG/oC,GAAG,MAAM,KAAK,OAAO,EAAE,EAAEw+C,GAAGz/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAawB,CAAC,MAAM,CAAC,GAAG,KAAK,OAAO,EAAE,EAAEu+C,GAAGx/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,KAAK,WAAW,KAAK,aAAa,CAAC,CAAC,UAAU,KAAK,OAAO,EAAE,EAAEggD,GAAGz/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,UAAU,KAAK,OAAO,EAAE,EAAEigD,GAAG1/C,EAAE,KAAK,OAAO,KAAK,EAAEP,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,KAAK,YAAY,MAAO,OAAM,IAAIgpC,GAAG,uDAAuD,EAAE,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,mBAAmBzoC,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,eAAeU,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEk+C,GAAG,EAAEn+C,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQA,CAAC,EAAE,OAAO,KAAK,cAAc,SAAS,KAAK,aAAa,KAAK,aAAaA,CAAC,CAAC,EAAE3B,EAAE,KAAK4B,CAAC,CAAC,CAAC,IAAIzB,EAAE,CAACO,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,aAAa,gBAAgBP,EAAEA,EAAE,OAAOH,CAAC,EAAEG,EAAE,KAAK,KAAK,OAAO,IAAIA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAEA,EAAE,OAAOH,CAAC,GAAGG,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,QAAQ,KAAK,QAAQ,kBAAkB4uC,GAAG,KAAK,iBAAiB,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,EAAE,YAAYA,IAAI,OAAOA,EAAE,SAAS,UAAUA,EAAE,QAAQ,EAAE,MAAM,IAAIwoC,EAAE,0EAA0E,KAAK,UAAUxoC,EAAE,OAAO,GAAG,CAAC,CAAC,EAAE6/C,GAAG,cAAcD,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE6/C,GAAG,WAAW7/C,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,8FAA8F,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE6/C,GAAG,UAAU,SAAS/lD,GAAE,cAAc+lD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE8/C,GAAG,WAAW9/C,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAKA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,EAAE,MAAM,QAAQA,EAAE,UAAU,IAAIA,EAAE,WAAW,SAAS,GAAGA,EAAE,WAAW,SAAS,IAAI,MAAM,IAAIwoC,EAAE,2FAA2F,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAE8/C,GAAG,UAAU,SAAShmD,GAAE,cAAcgmD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7/C,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAI8jD,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMxoC,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,mDAAmD,KAAK,UAAUxoC,CAAC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,CAAC,GAAG,KAAK,MAAM,IAAIkpC,EAAE,sEAAsE,EAAE,IAAI,EAAExoC,EAAEV,CAAC,EAAEG,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC4a,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIwoC,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAI/oC,EAAE,EAAE,MAAMwB,EAAExB,EAAE,CAAC,EAAEyB,EAAEC,EAAE,KAAK,aAAa,iBAAiBD,EAAE,EAAEC,EAAE,IAAID,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE3B,EAAEyB,CAAC,EAAE,EAAEzB,EAAE0B,CAAC,EAAEW,EAAE,KAAK,WAAW,CAAC,EAAE,EAAE,KAAK,WAAW,CAAC,EAAEE,EAAE,KAAK,QAAQ,CAAC,EAAEC,EAAE,KAAK,QAAQ,CAAC,EAAEC,EAAEm9C,GAAGj+C,EAAEY,EAAEF,EAAE,KAAK,OAAO,EAAEsB,EAAEi8C,GAAG,EAAEp9C,EAAE,EAAE,KAAK,OAAO,EAAEoB,EAAE,CAACpC,EAAEiB,EAAEkB,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAEjG,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAIuJ,EAAE1X,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEqU,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBqD,EAAEvJ,GAAGuJ,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,MAAM,OAAOA,EAAEqmC,GAAGrmC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmB1G,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAExB,EAAE,EAAEwB,EAAE,IAAI,EAAE,EAAExB,EAAE,EAAEwB,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,CAAC,EAAEC,EAAE,KAAK,WAAW,CAAC,EAAEC,EAAE,KAAK,QAAQ,CAAC,EAAE,EAAE,KAAK,QAAQ,CAAC,EAAE,OAAO9B,EAAE,CAAC,EAAE,KAAK,QAAQA,EAAEG,CAAC,EAAE4/C,GAAG//C,EAAEG,CAAC,EAAE2B,EAAEF,EAAE,KAAK,OAAO,EAAE5B,EAAE2B,CAAC,EAAEo+C,GAAG//C,EAAE2B,CAAC,EAAE,EAAEE,EAAE,KAAK,OAAO,EAAE7B,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAE+/C,GAAG,UAAU,kBAAkBjmD,GAAE,cAAcimD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY9/C,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,QAAQ,KAAK,UAAU,QAAQ,MAAM,IAAI8jD,EAAE,uGAAuG,KAAK,SAAS,CAAC,CAAC,MAAMxoC,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,mDAAmD,KAAK,UAAUxoC,CAAC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,CAAC,GAAG,KAAK,MAAM,IAAIkpC,EAAE,sEAAsE,EAAE,IAAI,EAAExoC,EAAEV,CAAC,EAAEG,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASA,EAAE,UAAU,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,UAAU,CAAC,IAAI/a,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAC4a,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAIwoC,EAAE,2FAA2F,EAAE,MAAM,QAAQ,EAAE,IAAI/oC,EAAE,EAAE,MAAMwB,EAAExB,EAAE,CAAC,EAAEyB,EAAEC,EAAEC,EAAE,KAAK,aAAa,iBAAiBA,EAAE,EAAEF,EAAE,EAAEC,EAAE,IAAIC,EAAE,EAAEF,EAAE,EAAEC,EAAE,GAAG,IAAI,EAAE1B,EAAE2B,CAAC,EAAEU,EAAErC,EAAEyB,CAAC,EAAE,EAAEzB,EAAE0B,CAAC,EAAEa,EAAE,KAAK,WAAW,CAAC,EAAEC,EAAE,KAAK,WAAW,CAAC,EAAEC,EAAE,KAAK,WAAW,CAAC,EAAEkB,EAAE,KAAK,QAAQ,CAAC,EAAEC,EAAE,KAAK,QAAQ,CAAC,EAAEqD,EAAE,KAAK,QAAQ,CAAC,EAAExC,EAAEm7C,GAAG,EAAEj8C,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEw7C,GAAGv9C,EAAEuB,EAAEpB,EAAE,KAAK,OAAO,EAAE6B,EAAEu7C,GAAG,EAAE34C,EAAExE,EAAE,KAAK,OAAO,EAAE6B,EAAE,CAAC9C,EAAEiD,EAAEL,EAAEC,EAAE,KAAK,OAAO,EAAE,KAAK,aAAa,iBAAiB,EAAE3G,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,IAAI6G,EAAE9U,GAAG,EAAE,KAAK,OAAO,KAAK,EAAE6U,EAAE,KAAK,QAAQ,KAAK,OAAO,EAAE,OAAO,KAAK,aAAa,iBAAiBC,EAAE7G,GAAG6G,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,KAAK,OAAO,OAAOA,EAAE+oC,GAAG/oC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,aAAa,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,mBAAmBhE,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAEP,EAAEwB,EAAEC,EAAE,KAAK,aAAa,iBAAiB,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,IAAI,EAAE,EAAEzB,EAAE,EAAEwB,EAAE,EAAEC,EAAE,GAAG,IAAIC,EAAE,KAAK,WAAW,CAAC,EAAEC,EAAE,KAAK,WAAW,CAAC,EAAE,EAAE,KAAK,WAAW,CAAC,EAAEU,EAAE,KAAK,QAAQ,CAAC,EAAE,EAAE,KAAK,QAAQ,CAAC,EAAEE,EAAE,KAAK,QAAQ,CAAC,EAAE,OAAO1C,EAAE,CAAC,EAAE,KAAK,QAAQA,EAAEG,CAAC,EAAE4/C,GAAG//C,EAAEG,CAAC,EAAEqC,EAAEX,EAAE,KAAK,OAAO,EAAE7B,EAAE2B,CAAC,EAAEo+C,GAAG//C,EAAE2B,CAAC,EAAE,EAAEG,EAAE,KAAK,OAAO,EAAE9B,EAAE4B,CAAC,EAAEm+C,GAAG//C,EAAE4B,CAAC,EAAEc,EAAE,EAAE,KAAK,OAAO,EAAE1C,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,aAAaA,CAAC,CAAC,EAAEggD,GAAG,UAAU,kBAAkBlmD,GAAE,cAAckmD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAY5/C,EAAEV,EAAE,CAAC,GAAG,MAAMU,EAAEV,CAAC,EAAE,KAAK,8BAA8B,gBAAgB,KAAK,8BAA8B,gBAAgB,KAAK,gBAAgB,KAAK,KAAK,gBAAgB,KAAKA,EAAE,SAAS,KAAK,MAAM,IAAIkpC,EAAE,qFAAqF,EAAE,GAAGlpC,EAAE,mBAAmB,MAAMA,EAAE,mBAAmB,MAAMA,EAAE,kBAAkB,KAAK,MAAM,IAAIkpC,EAAE,oPAAoP,EAAE,GAAGlpC,EAAE,SAAS,MAAMA,EAAE,UAAU,QAAQA,EAAE,UAAU,QAAQ,MAAM,IAAIkpC,EAAE,gBAAgB,KAAK,uEAAuE,KAAK,UAAUlpC,EAAE,OAAO,GAAG,EAAE,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqBuvC,GAAGvvC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBs/C,GAAGt/C,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkyC,GAAGlyC,EAAE,mBAAmB,EAAE,KAAK,qBAAqBuvC,GAAGvvC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,qBAAqBs/C,GAAGt/C,EAAE,oBAAoB,EAAE,KAAK,oBAAoBkyC,GAAGlyC,EAAE,mBAAmB,CAAC,CAAC,MAAMU,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,IAAIwoC,EAAE,0BAA0B,KAAK,0BAA0B,KAAK,KAAK,gCAAgC,KAAK,UAAUxoC,CAAC,GAAG,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAEU,EAAE,OAAO,EAAE,GAAGA,EAAEV,CAAC,GAAG,MAAMU,EAAEV,CAAC,EAAE,EAAE,MAAM,IAAIkpC,EAAE,oEAAoE,KAAK,UAAUxoC,EAAEV,CAAC,CAAC,GAAG,EAAE,IAAI,EAAEU,EAAEV,CAAC,EAAEG,EAAE,KAAK,WAAW,OAAO,CAAC,EAAE,KAAK,eAAe,CAAC,EAAEwB,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,EAAEF,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK,EAAE,KAAK,gBAAgB,KAAK,OAAO,EAAE,IAAIC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBzB,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqByB,EAAE,KAAK,mBAAmB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBD,EAAE,UAAU,KAAK,qBAAqB,KAAK,qBAAqBC,EAAE,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,EAAE,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,UAAU,CAAC,IAAIxc,GAAG,CAAC,KAAK,KAAK,KAAK,EAAE,KAAK,CAAC,CAAC4a,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAE,GAAG,KAAK,OAAO,EAAE,MAAM,IAAIyoC,GAAG,kDAAkD,EAAE,OAAO,KAAK,OAAO,IAAI,KAAK,aAAa,kBAAkBzoC,EAAE7C,GAAG6C,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,EAAEpG,GAAGoG,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,aAAa,MAAM,GAAG,KAAK,UAAU,EAAE+sC,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,KAAK,aAAa,kBAAkB,EAAE5vC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI6C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,kBAAkB,OAAOA,EAAE,iBAAiBA,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,oBAAoBsxC,GAAG,KAAK,mBAAmB,EAAEtxC,EAAE,oBAAoBsxC,GAAG,KAAK,mBAAmB,EAAEtxC,CAAC,CAAC,EAAEigD,GAAG,UAAU,gBAAgB,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYjgD,EAAE,CAAC,MAAM,EAAEA,CAAC,CAAC,CAAC,EAAEkgD,GAAG,UAAU,kBAAkBpmD,GAAE,cAAcomD,EAAE,EAAE,IAAIC,GAAG,cAAcP,EAAE,CAAC,YAAY5/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAEmgD,GAAG,WAAWngD,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAE,OAAO,OAAOA,EAAE,KAAK,OAAOA,EAAE,WAAWA,CAAC,CAAC,OAAO,WAAWA,EAAE,CAAC,GAAG,OAAOA,EAAE,YAAY,UAAU,CAAC4pC,GAAG5pC,EAAE,WAAW,SAAS,EAAE,CAAC,EAAE,MAAM,IAAIwoC,EAAE,yFAAyF,KAAK,UAAUxoC,EAAE,UAAU,IAAI,CAAC,CAAC,EAAEmgD,GAAG,UAAU,SAASrmD,GAAE,cAAcqmD,EAAE,EAAE,IAAIC,GAAG,cAAc1Q,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAE,CAACA,EAAE,SAASA,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,SAAS,CAAC,GAAG,SAAS,KAAK,SAAS,CAAC,CAACA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,CAAC,EAAE,CAACA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,WAAWA,EAAE,aAAa,OAAO,eAAeA,EAAE,WAAW,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAO,KAAK,aAAa,gBAAgB,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,CAAC,EAAE,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEgvC,GAAGhvC,CAAC,EAAE,KAAK,aAAa,eAAe,CAAC,IAAI,EAAEusC,GAAGvsC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOusC,GAAG,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEvsC,EAAE,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEusC,GAAGvsC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOusC,GAAG,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAEvsC,EAAE,MAAM,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEogD,GAAG,UAAU,aAAatmD,GAAE,cAAcsmD,EAAE,EAAE,IAAIC,GAAG,cAAc3Q,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,CAAC,EAAE,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAE,KAAK,cAAc3qC,EAAE,eAAe,KAAK,UAAUA,EAAE,cAAc4qC,GAAG,KAAK,aAAa,CAAC,CAAC,mBAAmB5qC,EAAE,CAAC,GAAG,KAAK,aAAa,gBAAgB,CAAC,IAAIV,EAAEU,EAAE,CAAC,GAAG,KAAK,KAAK,KAAK,KAAK,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,GAAG,KAAK,KAAK,KAAK,KAAK,CAAC,EAAEA,EAAE,CAAC,EAAE,MAAM,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEV,EAAE,CAAC,CAAC,KAAK,CAAC,IAAIA,EAAEU,EAAE,CAAC,GAAG,KAAK,KAAK,KAAK,KAAK,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,GAAG,KAAK,KAAK,KAAK,KAAK,CAAC,EAAEA,EAAE,CAAC,EAAE,MAAM,CAACA,EAAE,CAAC,EAAEV,EAAE,EAAEU,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAM,GAAG,KAAK,aAAa,gBAAgB,CAAC,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI8D,EAAE,KAAK,KAAK,CAAC,EAAExB,EAAE,CAAC,EAAEyB,EAAE,KAAK,KAAK,CAAC,EAAEzB,EAAE,CAAC,EAAE0B,EAAE,KAAK,gBAAgB,UAAUpO,GAAG,sBAAsB,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAEnO,GAAG,eAAe,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAE,OAAO/D,GAAGgE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,KAAK,CAAC,IAAIF,EAAE,KAAK,KAAK,CAAC,EAAExB,EAAE,CAAC,EAAEyB,EAAE,KAAK,KAAK,CAAC,EAAEzB,EAAE,CAAC,EAAE,OAAO,KAAK,gBAAgB,UAAU1M,GAAG,sBAAsB,EAAE,CAACkO,EAAEC,CAAC,CAAC,EAAEnO,GAAG,eAAe,EAAE,CAACkO,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIlB,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,cAAc,KAAK,aAAa,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEqgD,GAAG,UAAU,eAAevmD,GAAE,cAAcumD,EAAE,EAAE,SAASC,GAAGlhD,EAAE,EAAEE,EAAE,CAAC,EAAE,CAAC,EAAEE,EAAE,QAAQC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC2C,GAAG,OAAOA,EAAEqsC,GAAG,GAAGnB,GAAGlrC,CAAC,EAAE,IAAI,EAAE6/C,GAAGlgD,EAAEK,CAAC,EAAE,GAAGL,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,mEAAmEppC,EAAE,QAAQ,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,yDAAyD,EAAE,QAAQ,EAAE,OAAO,EAAE14C,GAAG,EAAE,EAAEwP,EAAEE,IAAI,OAAO,OAAO,QAAQ,OAAO,CAAC,EAAEC,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIojD,GAAG,cAAcZ,EAAE,CAAC,YAAY3/C,EAAE,CAAC,MAAM,EAAEA,CAAC,EAAE,KAAK,gBAAgB,KAAK,KAAK,gBAAgBA,EAAE,iBAAiB,KAAK,EAAEA,EAAE,gBAAgB,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,0BAA0B,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,uEAAuE,KAAK,UAAUxoC,CAAC,IAAI,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgB,EAAE,EAAE,GAAGU,EAAEV,CAAC,GAAG,MAAMU,EAAEV,CAAC,EAAE,EAAE,MAAM,IAAIkpC,EAAE,yFAAyFxoC,EAAEV,CAAC,KAAK,EAAE,IAAI,EAAEU,EAAEV,CAAC,EAAEG,EAAE,CAAC,KAAK,WAAW,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmBA,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,EAAE,KAAK,eAAe,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAE,IAAI,EAAEsgD,GAAGtgD,EAAE,KAAK,gBAAgB,KAAK,EAAE,KAAK,QAAQ,KAAK,QAAQ,KAAK,WAAW,IAAI,EAAE,OAAO,KAAK,UAAU,EAAE+sC,GAAG,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,UAAU,GAAG,KAAK,YAAY,OAAO,EAAE,KAAK,WAAW,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,mBAAmB/sC,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,gBAAgBA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,CAAC,EAAE,KAAK,gBAAgBA,EAAE,CAAC,EAAE,KAAK,gBAAgBiB,EAAEm+C,GAAG9/C,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE4B,EAAEk+C,GAAG,EAAE,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,OAAO,KAAK,aAAa,gBAAgB,CAACp/C,EAAE,CAAC,EAAEP,EAAEwB,EAAEC,CAAC,EAAE,CAAClB,EAAE,CAAC,EAAEiB,EAAEC,EAAEzB,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,MAAM,UAAU,EAAE,OAAOA,EAAE,gBAAgB,KAAK,gBAAgBA,EAAE,qBAAqB4uC,GAAG,KAAK,oBAAoB,EAAE5uC,EAAE,qBAAqB0+C,GAAG,KAAK,oBAAoB,EAAE1+C,EAAE,oBAAoBsxC,GAAG,KAAK,oBAAoB,EAAEtxC,CAAC,CAAC,EAAEugD,GAAG,UAAU,kBAAkBzmD,GAAE,cAAcymD,EAAE,EAAE,SAASC,GAAGphD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,MAAM,QAAQJ,CAAC,EAAE,CAAC,GAAG,GAAG,MAAME,GAAG,KAAK,MAAM,IAAIkpC,EAAE,+EAA+E,EAAEhpC,GAAG,OAAOF,EAAEF,EAAE,MAAMA,EAAE,OAAOI,EAAEJ,EAAE,MAAM,EAAEA,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOI,CAAC,GAAGJ,EAAE,OAAO,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,MAAM,GAAGA,EAAEA,EAAE,CAAC,CAAC,CAAC,SAASK,EAAE,EAAE,CAAC,OAAO,GAAG,MAAM,MAAM,QAAQ,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,OAAO,EAAEA,EAAE,CAAC,EAAEH,EAAEG,EAAEH,CAAC,EAAE,CAAC,OAAOF,EAAE,aAAa,EAAE,UAAUE,CAAC,CAAC,CAAC,SAASmhD,GAAGrhD,EAAE,EAAEE,EAAEE,EAAE,GAAGC,EAAE,EAAE,EAAE,GAAG0B,EAAE,GAAG,CAAC,OAAOrE,EAAE,IAAI,CAAC,IAAIsE,EAAE,EAAE,MAAM,OAAO,GAAGA,EAAE,EAAE,MAAM,IAAIonC,EAAE,uCAAuCpnC,KAAK,EAAE,IAAIC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOsqC,GAAG,EAAEvqC,CAAC,CAAC,EAAE,GAAG,EAAEjE,GAAG,EAAEkE,CAAC,EAAE,GAAG,KAAK,MAAM,IAAIonC,GAAG,gFAAgF,EAAE,GAAG,QAAQ,KAAK,mGAAmG,EAAEhpC,GAAG,OAAOA,EAAEtR,GAAEA,GAAEsR,EAAE,MAAM,EAAE,SAAS,EAAEA,EAAE,OAAO2B,EAAE,IAAI3B,EAAEpO,GAAGoO,EAAE,EAAE,GAAGA,EAAEtC,GAAGsC,EAAE4B,CAAC,GAAG7B,IAAI,EAAEzG,GAAG,EAAE,CAAC,EAAE0G,GAAG,OAAOA,EAAE1G,GAAG0G,EAAE,CAAC,IAAI,IAAIqC,EAAE,CAAC,EAAEC,EAAEC,EAAE1C,EAAE2C,EAAE,EAAE,MAAM,CAAC,EAAEC,EAAEzE,GAAG,CAAC,EAAE2F,EAAE3D,GAAG,OAAO2D,EAAE3F,GAAGgC,CAAC,GAAG,QAAQiH,EAAE,EAAEA,EAAEzE,EAAE,EAAEyE,EAAE,CAAC,IAAI,EAAExE,EAAEwE,CAAC,EAAE7C,EAAE/G,EAAE,IAAIsC,EAAE,EAAE4C,CAAC,CAAC,EAAE,GAAGvC,GAAG,KAAKsC,EAAE8B,EAAE,CAAC,EAAE7B,EAAE6B,EAAE,CAAC,MAAM,CAAC,IAAIC,EAAEhH,EAAE,IAAI,CAAC,IAAIiH,EAAEX,EAAEsD,CAAC,EAAE1C,EAAEhI,GAAGrF,GAAGoN,CAAC,EAAEA,CAAC,EAAEE,EAAE3X,EAAE4J,EAAE2N,EAAE,CAAC,EAAEE,CAAC,EAAE7N,EAAE8L,EAAE,CAAC,EAAEgC,CAAC,CAAC,EAAEG,EAAEnC,EAAE,IAAI,CAAC2E,EAAEvC,IAAI9X,EAAE4J,EAAE2N,EAAE,CAAC,EAAEO,CAAC,EAAEL,CAAC,EAAE7N,EAAEyQ,EAAE3C,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,OAAOC,EAAE,UAAUE,CAAC,CAAC,CAAC,EAAEpC,EAAE+B,EAAE,OAAO9B,EAAE8B,EAAE,SAAS,CAAC3C,GAAGW,EAAE,KAAKC,CAAC,CAAC,CAAC,IAAI,EAAE,OAAOZ,IAAI,EAAEvF,GAAGkG,EAAE,CAAC,GAAG,CAACC,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIha,GAAG,cAAc0nD,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIV,EAAE,GAAGU,EAAE,MAAM,KAAK,MAAM,IAAIwoC,EAAE,sDAAsD,EAAE,GAAG,MAAM,QAAQxoC,EAAE,IAAI,EAAEV,EAAE,IAAIohD,GAAG,CAAC,MAAM1gD,EAAE,IAAI,CAAC,EAAEV,EAAEU,EAAE,KAAKV,EAAE,WAAW,KAAK,MAAM,IAAIkpC,EAAE,mGAAmG,EAAE,KAAK,KAAKlpC,EAAE,KAAK,gBAAgBU,EAAE,iBAAiB,KAAK,GAAGA,EAAE,gBAAgB,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,YAAYA,EAAE,aAAa,KAAK,GAAGA,EAAE,YAAY,KAAK,UAAUA,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,KAAK,QAAQ,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,CAAC,CAAC,CAAC,WAAW,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIsb,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,OAAO2rC,GAAG,EAAE3rC,CAAC,EAAE,IAAIV,GAAG,IAAI,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,UAAUU,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,mBAAmBA,EAAE,CAAC8uC,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,CAAC,GAAGA,EAAEA,EAAE,IAAIV,EAAE,KAAK,KAAK,UAAU,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAG,IAAI,EAAEA,EAAE,CAAC,EAAEG,EAAE,GAAG,KAAK,gBAAgBA,EAAE,CAACO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAEP,EAAE,CAACO,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,YAAY,CAAC,IAAIiB,EAAE,CAAC,EAAE,QAAQC,KAAK5B,EAAE2B,EAAE,KAAK,CAACjB,EAAE,CAAC,EAAEkB,CAAC,CAAC,EAAE,MAAM,CAACzB,CAAC,EAAE,OAAOwB,CAAC,CAAC,KAAM,QAAOxB,CAAC,CAAC,YAAYO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,MAAM,QAAQwC,CAAC,IAAIA,EAAEA,EAAE,CAAC,GAAG,IAAI,EAAE,KAAK,gBAAgBA,EAAE,KAAK,GAAG,KAAK,YAAY,CAAC,IAAIG,EAAE,KAAK,OAAO,IAAIwB,GAAG,IAAI,EAAE,MAAM,CAAC,CAAC,EAAE,OAAOxB,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,GAAG,KAAK,SAAS,KAAK,CAAC,IAAIO,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAEV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEU,EAAE,EAAE,EAAEV,EAAE,KAAK,IAAI,EAAE,OAAOA,CAAC,KAAM,QAAO,KAAK,OAAO,CAAC,IAAI,OAAOU,EAAE,CAAC,KAAK,QAAQA,CAAC,CAAC,MAAMA,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,MAAM,IAAIyoC,GAAG,kDAAkD,EAAEqG,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,CAAC,GAAGA,EAAEA,EAAE,IAAIR,EAAE,KAAK,SAASQ,EAAE,CAAC,EAAE,KAAKP,EAAEO,EAAE,MAAM,CAAC,EAAE,KAAK,UAAU,CAAC,EAAE,IAAItb,GAAG,CAAC,MAAM,CAAC8a,EAAE,KAAK,GAAGC,CAAC,CAAC,CAAC,EAAE,IAAIwB,EAAE,CAACjB,EAAE,CAAC,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,KAAK,MAAMiB,CAAC,EAAE,IAAIC,EAAE,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAEA,EAAE,KAAK,KAAK,UAAUA,EAAE,CAAC,KAAK,KAAK,SAAS,EAAE,KAAK,WAAW,MAAM,GAAG,CAACtD,EAAE,YAAY,KAAK,UAAU,IAAIuD,GAAGA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,CAAC,EAAED,CAAC,EAAE,MAAM,IAAIsnC,EAAE,6FAA6F,KAAK,wCAAwC,KAAK,KAAK,WAAW,OAAO,KAAK,UAAUtnC,EAAE,IAAIC,GAAG,IAAIzc,GAAG,CAAC,MAAM,CAAC,KAAKyc,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,YAAY,CAAC,CAAC,YAAYnB,EAAEV,EAAE,GAAG,CAACxC,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIwrC,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIE,EAAE,uUAAuU,EAAE,GAAG,KAAK,SAAS,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI/oC,GAAGd,GAAG,CAAC,EAAEc,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACd,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,UAAUqB,GAAG,KAAK5P,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAIqP,GAAGd,GAAG,CAAC,EAAEc,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEd,GAAG,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQqB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCxoC,EAAE,0CAA0CA,GAAG,EAAEV,IAAI,GAAG,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAElP,GAAG,KAAK,OAAO,EAAE,QAAQqP,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,CAAC,EAAEyB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAUzB,CAAC,EAAE,KAAK,KAAK,UAAU0B,EAAE,CAAC,EAAED,CAAC,EAAE,GAAG,CAACtD,EAAE,YAAYqD,EAAE,MAAME,CAAC,EAAE,MAAM,IAAIqnC,EAAE,SAAS/oC,gCAAgC,KAAK,wBAAwB0B,qBAAqBF,EAAE,OAAO,EAAE,KAAK,QAAQxB,CAAC,EAAEwB,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAIxB,GAAGjM,GAAGiM,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMO,EAAEV,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaG,EAAEH,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI2B,EAAEu/C,GAAGxgD,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAEO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,IAAIC,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC7B,EAAE,aAAa,EAAE4B,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,UAAU,CAAC,EAAE,QAAQG,KAAK,EAAE,KAAK,UAAU,KAAK,IAAI3c,GAAG,CAAC,MAAM2c,EAAE,KAAK,CAAC,CAAC,EAAEF,EAAEA,EAAE,OAAO,KAAK,SAAS,CAAC,CAAC,GAAG1B,GAAG,OAAOH,EAAE,UAAUG,EAAEyB,EAAEA,EAAE,OAAOzB,CAAC,EAAE,KAAK,aAAaA,EAAE,QAAQyB,EAAE,CAAC,YAAY/V,GAAG,CAAC,IAAIkW,EAAE,CAACrB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAEY,EAAE,KAAK,UAAU,KAAK,UAAUD,EAAE,IAAIE,EAAE,MAAM,MAAMX,EAAE/B,CAAC,EAAE,OAAO,KAAK,UAAUyC,EAAEC,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAaU,EAAEgvC,GAAGhvC,CAAC,EAAEiB,GAAG,OAAO,KAAK,SAASA,EAAE,KAAK,QAAQA,EAAE,KAAK,gBAAgBjB,CAAC,GAAG,IAAIkB,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,OAAO,EAAE,GAAGD,EAAE,SAASC,EAAE,MAAM,IAAIsnC,EAAE,iBAAiBtnC,6BAA6BD,EAAE,0BAA0B,EAAE,KAAK,QAAQ,QAAQ,KAAK,kEAAkE,EAAE,IAAIE,EAAE,CAAC,SAAS1B,CAAC,EAAE4B,EAAEo/C,GAAG,CAACv+C,EAAE,IAAI,CAAC,IAAImB,EAAE,KAAK,KAAK,KAAK,CAACnB,CAAC,EAAE,OAAO,CAAC,EAAEf,CAAC,EAAE,MAAM,CAACkC,EAAE,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,CAAC,EAAErD,EAAEiB,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,OAAO,KAAK,eAAe,EAAEa,EAAET,EAAE,CAAC,EAAEU,EAAEV,EAAE,CAAC,EAAEW,EAAEX,EAAE,CAAC,EAAE,KAAK,UAAU,KAAK,YAAYW,EAAEvC,CAAC,EAAE,IAAIwC,EAAE,KAAK,gBAAgBF,EAAED,EAAE,OAAO,KAAK,YAAY,CAACG,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,gBAAgBjC,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEX,GAAGqB,EAAE,KAAK,EAAE,OAAOV,EAAErD,GAAGqD,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE0sC,GAAG1sC,CAAC,EAAE,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,KAAK,UAAU,IAAI,GAAG,EAAE,EAAE4sC,GAAG5sC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,CAAC,EAAE,KAAK,KAAK,UAAU,EAAE,CAAC4sC,GAAG5sC,EAAE,CAAC,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,iBAAiB,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,UAAU,KAAK,KAAK,oBAAoB,KAAK,KAAK,OAAO,CAAC,6BAA6BU,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,MAAM,MAAM,KAAK,KAAK,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,gBAAgB,KAAK,gBAAgB,YAAY,KAAK,YAAY,YAAY,KAAK,YAAY,SAAS,KAAK,SAAS,OAAO,KAAK,MAAM,EAAE,KAAK,cAAc,OAAOA,EAAE,aAAa,KAAK,cAAc,IAAI,EAAE,KAAK,KAAK,UAAU,EAAE,OAAO,KAAK,aAAa,IAAItX,GAAG,YAAYsX,EAAE,KAAK,CAAC,UAAU,KAAK,KAAK,aAAa,EAAE,OAAO,CAAC,GAAG,OAAO,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEU,CAAC,EAAEV,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAEH,EAAE,KAAK2B,EAAE42C,GAAGp4C,EAAE,CAAC,EAAE,OAAO,IAAIO,EAAE,OAAO,OAAOV,EAAE,CAAC,KAAK2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEjZ,GAAG,UAAU,MAAM8R,GAAE,cAAc9R,EAAE,EAAE,IAAIwqD,GAAG,cAAc9C,EAAE,CAAC,EAAEiR,GAAG,cAAcnO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,YAAY,KAAK,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAACA,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,8CAA8CxoC,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,CAAC,EAAEA,EAAEA,EAAE,CAAC,EAAE,IAAIP,EAAEH,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYshD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAASP,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBmhD,GAAG,CAAC,KAAK,IAAIjqD,GAAG,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS8I,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAEC,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBD,GAAG,KAAKD,EAAE0rC,GAAGz2C,EAAE8J,EAAEkB,CAAC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAED,EAAE0rC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAOiB,EAAE8rC,GAAG9rC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAGE,GAAG,OAAO,EAAEjL,EAAE,EAAEiL,CAAC,GAAG,IAAIC,EAAE9U,EAAE2U,EAAE0rC,GAAG,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOvrC,EAAE,KAAK,WAAW,MAAMA,CAAC,GAAG,CAACA,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpB,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,gBAAgB,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAEqhD,GAAG,UAAU,gBAAgB7mD,GAAE,cAAc6mD,EAAE,EAAE,IAAIE,GAAG,cAAc74D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,KAAK,IAAI2gD,GAAG3gD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAEuhD,GAAG,UAAU,YAAY/mD,GAAE,cAAc+mD,EAAE,EAAE,IAAIC,GAAG,cAActO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQA,EAAE,WAAW,MAAM,IAAIwoC,EAAE,6DAA6D,EAAE,KAAK,MAAMxoC,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBm+C,GAAGn+C,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,KAAK,MAAM,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAACV,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uDAAuDxoC,EAAE,SAAS,EAAE,IAAI,EAAEV,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASG,EAAEO,EAAE,CAAC,EAAEA,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAY4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqB4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIwB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAEC,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAIpB,EAAE9J,EAAE8J,EAAEiB,EAAE,CAAC,CAAC,GAAG,IAAIa,EAAE6qC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,UAAU8B,EAAEirC,GAAGjrC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIrC,EAAEvJ,EAAEuJ,EAAEyB,EAAE,CAAC,CAAC,GAAG,IAAI,EAAE,KAAK,gBAAgB,KAAK,EAAE,CAACc,EAAEC,CAAC,EAAE1G,GAAG,EAAE,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,CAAC,EAAE2G,EAAEyqC,GAAGltC,EAAEuC,CAAC,EAAE,CAACoB,EAAEC,EAAEqD,CAAC,EAAEnL,GAAGuG,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAE,CAACoC,EAAEL,CAAC,EAAEtI,GAAG2G,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEf,EAAE,KAAK,oBAAoB,MAAM7U,EAAE8W,EAAEc,CAAC,CAAC,EAAE9C,EAAE,KAAK,oBAAoB,MAAM9U,EAAE+W,EAAEQ,CAAC,CAAC,EAAE,IAAIC,EAAE6oC,GAAGz2C,EAAEkL,EAAE3B,CAAC,EAAEwC,CAAC,EAAE,EAAE,KAAK,WAAW,MAAM3V,EAAEoa,EAAE5C,CAAC,CAAC,EAAE,IAAIC,EAAEzX,EAAE4J,EAAEiL,EAAE1B,CAAC,EAAEvJ,EAAE5J,EAAE,EAAE+J,GAAG8K,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC4C,EAAEA,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/D,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,eAAe,WAAW,EAAE,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAEwhD,GAAG,UAAU,UAAUhnD,GAAE,cAAcgnD,EAAE,EAAE,IAAIC,GAAG,cAAc/4D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAI8gD,GAAG9gD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAEyhD,GAAG,UAAU,MAAMjnD,GAAE,cAAcinD,EAAE,EAAE,IAAIC,GAAG,cAAcxO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,mBAAmB,OAAO,KAAK,6BAA6B,cAAc,KAAK,2BAA2B,eAAe,KAAK,8BAA8B,aAAa,KAAK,yBAAyB,QAAQ,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,aAAa,OAAO,KAAK,mBAAmBA,EAAE,UAAU,EAAE,KAAK,oBAAoBm+C,GAAGn+C,EAAE,sBAAsB,OAAO,KAAK,6BAA6BA,EAAE,mBAAmB,EAAE,KAAK,QAAQA,EAAE,SAAS,KAAK,GAAGA,EAAE,QAAQ,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,qBAAqB6uC,GAAG7uC,EAAE,sBAAsB,KAAK,6BAA6B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,eAAeA,EAAE,eAAe,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,qBAAqB4+C,GAAG5+C,EAAE,oBAAoB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,oBAAoBwxC,GAAGxxC,EAAE,mBAAmB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,QAAQyrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,SAAS,KAAK,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,KAAK,iBAAiByrC,GAAG,CAAC,EAAEC,GAAG,CAAC,EAAE1rC,EAAE,kBAAkB,KAAK,EAAEA,EAAE,gBAAgB,CAAC,CAAC,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,KAAK,eAAeA,EAAE,eAAe,KAAK,UAAU,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,KAAK,YAAY,KAAK,KAAK,qBAAqB,IAAI,CAAC,MAAMA,EAAE,CAAC,IAAIV,EAAEU,EAAEivC,GAAGjvC,CAAC,EAAE,IAAI,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAAS,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,KAAK,UAAU,mBAAmB,CAAC,KAAK,MAAM,KAAK,MAAM,CAAC,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,IAAIP,EAAE,GAAG,KAAK,QAAQ,CAAC,GAAG,KAAK,eAAe,CAAC,IAAIwB,EAAE,KAAK,gBAAgBC,EAAE,KAAK,MAAMzB,EAAE,IAAIH,EAAE,cAAcmuC,EAAE,CAAC,MAAMrsC,EAAEC,EAAE,CAAC,IAAIS,EAAEb,EAAE,MAAM,CAACC,CAAC,CAAC,EAAEa,EAAE,IAAI4rC,GAAG,EAAE,MAAM,CAACzsC,CAAC,CAAC,EAAEc,EAAEf,EAAE,MAAM,CAACC,EAAE,CAAC,CAAC,EAAE,OAAOurC,GAAGA,GAAG3qC,EAAEC,CAAC,EAAEC,CAAC,CAAC,CAAC,EAAE1C,EAAE,UAAU,aAAaA,EAAE,MAAMG,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,MAAM,CAAC,EAAE,KAAKA,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,MAAM,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS,GAAGU,EAAEA,EAAEA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wDAAwDxoC,EAAE,SAAS,EAAE,IAAIP,EAAEO,EAAE,CAAC,EAAEiB,EAAEjB,EAAE,CAAC,EAAEA,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAY4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAGqJ,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqB4gD,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAM,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIyB,EAAE,KAAK,YAAYC,EAAE,KAAK,qBAAqBC,EAAE,EAAEU,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,IAAI9B,EAAE9J,EAAE8J,EAAEkB,EAAE,CAAC,CAAC,GAAG,IAAIc,EAAE2qC,GAAG3sC,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,IAAIP,EAAEvJ,EAAEuJ,EAAE0B,EAAE,CAAC,CAAC,GAAGa,EAAE1V,EAAE0V,EAAE2qC,GAAGltC,EAAE,KAAK,gBAAgB,KAAK,CAAC,CAAC,EAAE,KAAK,UAAUuC,EAAE+qC,GAAG/qC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,GAAG,CAACC,EAAEC,EAAEkB,EAAEC,CAAC,EAAE9H,GAAGyG,EAAE,EAAEA,EAAE,KAAK,CAAC,EAAEZ,EAAE,KAAK,oBAAoB,MAAMa,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAEJ,EAAExV,EAAE4J,EAAE,EAAE+K,CAAC,EAAE/K,EAAEkL,EAAE,KAAK,WAAW,MAAMgC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAK,oBAAoB,MAAMC,CAAC,EAAE,IAAIqD,EAAExQ,EAAE,EAAE,KAAK,WAAW,MAAM4L,CAAC,CAAC,EAAE,MAAM,CAAC4E,EAAEA,EAAE5E,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI9B,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,MAAM,KAAK,MAAM,WAAW2+C,GAAG,KAAK,UAAU,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,eAAe,KAAK,eAAe,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,qBAAqBA,GAAG,KAAK,oBAAoB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,eAAeA,GAAG,KAAK,cAAc,EAAE,QAAQ,KAAK,QAAQ,iBAAiB,KAAK,iBAAiB,eAAe,KAAK,cAAc,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEtxC,CAAC,EAAEV,CAAC,CAAC,CAAC,EAAE0hD,GAAG,UAAU,WAAWlnD,GAAE,cAAcknD,EAAE,EAAE,IAAIC,GAAG,cAAcj5D,EAAE,CAAC,YAAYgY,EAAE,CAACA,EAAE,iBAAiB,GAAG,QAAQ,KAAK,gHAAgH,EAAEA,EAAE,KAAK,IAAIghD,GAAGhhD,CAAC,EAAE,MAAMA,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAM,IAAI,EAAEkP,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWjB,EAAEV,EAAE,CAAC,OAAOA,EAAE,gBAAgB,IAAIA,EAAE,eAAe,GAAG,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE2hD,GAAG,UAAU,OAAOnnD,GAAE,cAAcmnD,EAAE,EAAE,IAAIP,GAAG,cAAclO,EAAE,CAAC,YAAYxyC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAEU,EAAE,KAAK,GAAGV,EAAE,SAAS,EAAEU,EAAE,KAAKV,EAAE,SAAS,EAAE,OAAOU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEA,EAAE,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQ0B,KAAK,KAAK,MAAM,MAAM,EAAE,QAAQ,EAAE,MAAM,QAAQA,EAAE,SAAS,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE0B,EAAE,UAAU,MAAM,CAAC,EAAE1B,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,EAAEA,EAAE,QAAQ,EAAE,IAAIwB,EAAE,CAAC,EAAEC,EAAE,QAAQC,EAAE,EAAEA,EAAE,KAAK,MAAM,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,CAAC,EAAE,EAAE1B,EAAE0B,CAAC,EAAEA,IAAI,EAAED,EAAE,CAAClB,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAAEkB,EAAE,CAACA,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAAEA,EAAEE,EAAE,KAAKF,EAAE5B,CAAC,EAAE2B,EAAE,KAAKC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,QAAQC,KAAKF,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,KAAK,GAAGE,CAAC,EAAE,MAAM,CAACD,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAMlB,EAAE,CAAC8uC,GAAG9uC,CAAC,IAAIA,EAAEA,EAAE,CAAC,GAAGA,EAAEA,EAAE,IAAIV,EAAE,KAAK,MAAM,QAAQ,CAAC,EAAEG,IAAI,CAACwrC,GAAG,WAAWxrC,IAAI,IAAI,CAAC,EAAE,MAAMO,CAAC,EAAE,MAAM,QAAQ,EAAE,SAAS,EAAEV,EAAE,EAAE,UAAU,CAAC,EAAEA,EAAE,EAAE,UAAUU,EAAE,CAACA,EAAE,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,WAAW,CAAC,IAAIU,EAAE,MAAM,UAAU,EAAEV,EAAE2B,IAAI,CAAC,UAAUA,EAAE,aAAa,EAAE,OAAOA,EAAE,UAAU,CAAC,GAAGxB,EAAE,CAAC,MAAM,KAAK,MAAM,IAAIH,CAAC,CAAC,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEU,CAAC,EAAEP,CAAC,CAAC,CAAC,OAAO,WAAWO,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAE,CAAC,EAAE,QAAQwB,KAAK3B,EAAE,MAAMG,EAAE,KAAKo4C,GAAG52C,EAAE,CAAC,CAAC,EAAE,OAAO,IAAIjB,EAAE,CAAC,MAAMP,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,CAAC,KAAK,UAAU,MAAM,CAAC,EAAE,IAAIO,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,gBAAgB,EAAE,OAAOU,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,mBAAmB,EAAE,GAAG,CAAC,KAAK,UAAU,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAMA,EAAE,KAAK,GAAG,EAAE,gBAAgB,EAAE,OAAOA,EAAE,OAAOU,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,YAAY,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,KAAK,KAAK,MAAMU,EAAE,KAAK,GAAGV,EAAE,OAAO,EAAE,OAAO+vC,GAAGrvC,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,KAAK,KAAK,MAAM,CAAC,IAAIG,EAAE,EAAE,QAAQ,OAAOwB,EAAEjB,EAAE,OAAOP,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE5B,EAAE,KAAK,CAAC,EAAE,QAAQ4B,CAAC,EAAED,EAAEC,CAAC,CAAC,CAAC,CAAC,CAACouC,GAAGhwC,CAAC,CAAC,CAAC,EAAEohD,GAAG,UAAU,kBAAkB5mD,GAAE,cAAc4mD,EAAE,EAAE,SAASE,GAAGxhD,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,KAAKE,EAAE,SAASE,EAAE,GAAG,MAAMC,EAAE,EAAE,YAAY,CAAC,EAAEL,EAAE,EAAE,IAAI,GAAG,KAAK,EAAE,EAAE,EAAEE,CAAC,EAAE4tC,GAAG,EAAE,EAAE5tC,CAAC,EAAE6B,EAAE,IAAIisC,GAAG,EAAE,EAAE5tC,CAAC,EAAE,MAAM,CAACC,GAAGA,GAAG,EAAEjM,GAAG2N,EAAE,EAAE,MAAM,CAAC,EAAE,MAAM1B,CAAC,EAAE,KAAK,MAAM,EAAE,IAAI0B,CAAC,EAAE,IAAI,GAAG3N,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,IAAI0tD,GAAG,SAAS9hD,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,OAAO,UAAU,eAAe,KAAKA,EAAEI,CAAC,GAAG,EAAE,QAAQA,CAAC,EAAE,IAAIF,EAAEE,CAAC,EAAEJ,EAAEI,CAAC,GAAG,GAAGJ,GAAG,MAAM,OAAO,OAAO,uBAAuB,WAAW,QAAQK,EAAE,EAAED,EAAE,OAAO,sBAAsBJ,CAAC,EAAEK,EAAED,EAAE,OAAOC,IAAI,EAAE,QAAQD,EAAEC,CAAC,CAAC,EAAE,GAAG,OAAO,UAAU,qBAAqB,KAAKL,EAAEI,EAAEC,CAAC,CAAC,IAAIH,EAAEE,EAAEC,CAAC,CAAC,EAAEL,EAAEI,EAAEC,CAAC,CAAC,GAAG,OAAOH,CAAC,EAAM6hD,GAAG,cAAcn5D,EAAE,CAAC,YAAYgY,EAAE,CAAC,GAAGA,EAAE,OAAO,MAAM,IAAIyoC,GAAG,oDAAoD,EAAE,GAAG,MAAM,QAAQzoC,EAAE,IAAI,EAAE,MAAM,IAAIyoC,GAAG,gEAAgE,EAAE,MAAMzoC,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKsb,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,aAAa,OAAO1M,GAAG,KAAK,KAAK,WAAW,EAAE,KAAK,KAAK,YAAY,MAAM,KAAK,KAAK,sBAAsB,OAAOA,GAAG,KAAK,KAAK,oBAAoB,EAAE,KAAK,KAAK,qBAAqB,MAAMkP,GAAGA,EAAE,UAAU,MAAM,IAAIkpC,EAAE,2CAA2C,EAAE,IAAI,EAAElpC,GAAG,KAAK,KAAKA,EAAE,KAAKG,EAAEH,GAAG,KAAK,KAAKA,EAAE,SAAS2B,EAAE3B,GAAG,KAAK,KAAKA,EAAE,aAAa,OAAO,MAAM,KAAKU,EAAE,CAAC,KAAK,EAAE,SAASP,EAAE,aAAawB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBjB,EAAE,CAAC,IAAIV,EAAE,KAAK,yBAAyBU,CAAC,EAAE,OAAO,KAAK,kBAAkBV,EAAE,CAACA,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK,cAAcA,EAAE,CAACA,EAAE,GAAG,MAAM,CAAC,EAAE,KAAK,CAACU,EAAE,CAAC,EAAE,GAAGV,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,GAAGA,CAAC,CAAC,gBAAgBU,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,GAAG,CAAC,UAAUwC,CAAC,EAAE,KAAK,KAAK,EAAEU,EAAE,MAAMP,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAEyB,EAAEvC,GAAGsC,CAAC,EAAE,OAAO,MAAM,QAAQ3B,CAAC,EAAE,MAAMA,EAAE,MAAM,EAAE,KAAK4B,CAAC,EAAE,CAACA,CAAC,CAAC,CAAC,CAAC,CAAC,YAAYlB,EAAEV,EAAE,GAAG,CAACxC,EAAE,IAAI,CAAC,GAAG,CAAC,KAAK,SAAS,MAAM,IAAIwrC,GAAG,iEAAiE,EAAE,IAAI,EAAE,KAAK,UAAU,CAAC,EAAE,MAAM7oC,EAAE,KAAK,yBAAyB,CAAC,EAAEwB,EAAE,CAACxB,EAAE,CAAC,EAAE,GAAGA,EAAE,MAAM,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG,KAAK,MAAM,IAAI+oC,EAAE,uUAAuU,EAAE,GAAG,KAAK,UAAU,GAAG,KAAK,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAI7pC,GAAGsC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAACtC,GAAGsC,CAAC,CAAC,UAAUjB,GAAG,KAAK5P,GAAG,KAAK,OAAO,EAAE,KAAK,YAAY,OAAOA,GAAG,KAAK,UAAU,EAAE,KAAK,WAAW,CAAC,GAAG,MAAM,QAAQ,KAAK,KAAK,SAAS,EAAE,KAAK,QAAQ,KAAK,KAAK,UAAU,IAAI,IAAIuO,GAAGsC,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAEtC,GAAGsC,CAAC,MAAM,CAAC,GAAG,MAAM,QAAQjB,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,SAAS,KAAK,QAAQ,OAAO,MAAM,IAAIwoC,EAAE,SAAS,KAAK,gBAAgB,KAAK,QAAQ,oCAAoCxoC,EAAE,0CAA0CA,GAAG,EAAEV,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,MAAM,CAAC,EAAElP,GAAG,KAAK,OAAO,EAAE,QAAQ+Q,EAAE,EAAEA,EAAE,KAAK,QAAQ,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,CAAC,EAAEE,EAAEJ,EAAE,GAAG,CAACrD,EAAE,YAAYwD,EAAE,MAAMC,CAAC,EAAE,MAAM,IAAImnC,EAAE,SAASrnC,gCAAgC,KAAK,wBAAwBE,qBAAqBD,EAAE,OAAO,EAAE,KAAK,QAAQD,CAAC,EAAEC,CAAC,CAAC,CAAC,KAAK,QAAQ,KAAK,QAAQ,IAAID,GAAG3N,GAAG2N,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,yBAAyBnB,EAAE,CAAC,GAAG,CAAC,WAAWV,EAAE,QAAQ,EAAE,WAAWG,EAAE,QAAQwB,EAAE,QAAQC,EAAE,aAAaC,CAAC,EAAE,KAAK,KAAKC,EAAE9B,IAAI,gBAAgB,EAAEU,EAAEoB,EAAE,EAAE,CAAC,EAAEU,EAAE9B,EAAEoB,EAAE,EAAE,CAAC,EAAE,EAAEg+C,GAAG,EAAE3/C,EAAE,CAAC,EAAEwB,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAEa,EAAEo9C,GAAGt9C,EAAErC,EAAE,CAAC,EAAEwB,EAAEC,EAAE,CAAC,EAAEC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,GAAGnB,EAAE,MAAM,EAAE,CAAC,EAAE,GAAGoB,EAAE,CAAC,EAAE,EAAEY,CAAC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEm/C,GAAG,UAAU,YAAY,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhhD,EAAE,CAAC,GAAG,CAAC,QAAQV,EAAE,WAAW,EAAE,QAAQG,EAAE,QAAQwB,EAAE,WAAWC,EAAE,aAAaC,CAAC,EAAEnB,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,MAAMV,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQA,EAAEuqC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,WAAWsV,GAAG,EAAE,EAAE,YAAY,EAAE,KAAK,WAAW,QAAQ/9C,GAAGyoC,GAAGzoC,EAAE,YAAY,CAAC,EAAE,KAAK,QAAQ+9C,GAAG1/C,GAAG,EAAE,EAAE,SAAS,EAAE,KAAK,QAAQ,QAAQ2B,GAAGyoC,GAAGzoC,EAAE,SAAS,CAAC,EAAE,KAAK,QAAQH,GAAG,QAAQ4pC,GAAG,KAAK,OAAO,EAAE,KAAK,WAAW3pC,GAAG,eAAeypC,GAAG,KAAK,UAAU,EAAE,KAAK,aAAawU,GAAGh+C,GAAG,EAAE,EAAE,cAAc,EAAE,KAAK,aAAa,QAAQC,GAAGyoC,GAAGzoC,EAAE,cAAc,CAAC,CAAC,CAAC,MAAMpB,EAAE,CAAC,IAAIV,EAAEU,EAAEivC,GAAGjvC,CAAC,EAAE,IAAI,EAAE,KAAK,aAAa,gBAAgB,EAAEA,EAAE,OAAO,EAAE,GAAGA,EAAE,CAAC,GAAG,KAAK,MAAM,IAAIwoC,EAAE,+DAA+DxoC,EAAE,CAAC,GAAG,EAAE,IAAIP,EAAEO,EAAE,CAAC,EAAEiB,EAAE,EAAEC,EAAE,KAAK,WAAW,OAAO,CAACzB,EAAE,KAAK,QAAQwB,CAAC,CAAC,EAAE,KAAK,OAAO,KAAK,UAAU,SAASC,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,IAAIC,EAAE,KAAK,WAAW,OAAO,CAAC,KAAK,QAAQ,KAAK,QAAQF,CAAC,CAAC,EAAE,GAAG,KAAK,gBAAgB,KAAK,UAAU,mBAAmBE,EAAE,KAAK,KAAK,qBAAqB,KAAK,qBAAqB,GAAG,KAAK,mBAAmB,EAAE,KAAK,QAAQ,CAAC,IAAIC,EAAE,GAAG,KAAK,eAAe,CAAC,IAAI,EAAE,KAAK,gBAAgBU,EAAE,KAAK,QAAQV,EAAE,IAAI9B,EAAE,cAAcmuC,EAAE,CAAC,MAAMzrC,EAAEC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,CAACJ,CAAC,CAAC,EAAE,EAAEpL,GAAG,CAACoL,CAAC,CAAC,EAAEuB,EAAE,EAAE,MAAM,CAACvB,EAAE,CAAC,CAAC,EAAE,OAAO0qC,GAAG,CAACtqC,EAAE,EAAEmB,CAAC,CAAC,CAAC,CAAC,EAAE/D,EAAE,UAAU,aAAaA,EAAE,MAAM8B,EAAE,KAAK,gBAAgB,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,QAAQH,CAAC,EAAE,KAAKG,EAAE,KAAK,gBAAgB,GAAG,KAAK,cAAc,CAAC,CAAC,KAAK,MAAM,EAAE,CAAC,KAAKpB,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,8DAA8DxoC,EAAE,SAAS,EAAE,IAAI,EAAEV,EAAE,UAAU,GAAGG,EAAEO,EAAE,CAAC,EAAEiB,EAAEjB,EAAE,CAAC,EAAEkB,EAAElB,EAAE,CAAC,EAAEmB,EAAE,EAAE,EAAE,KAAK,SAAS,KAAK,QAAQ,GAAG,KAAK,aAAa,OAAO,KAAK,YAAYy/C,GAAG,CAAC,KAAK,IAAIjqD,GAAG8I,CAAC,EAAE,KAAK,KAAK,QAAQ,SAAS,EAAE,MAAM0B,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIC,EAAE,KAAK,YAAY,EAAE,CAACmG,EAAGC,EAAGC,KAAK,CAACD,GAAI,CAACA,EAAGC,EAAE,EAAEF,EAAGrR,EAAEsR,EAAGC,EAAE,EAAEF,CAAE,EAAEzF,EAAE,EAAErC,EAAE2B,EAAE,CAAC,EAAE,EAAE,EAAE3B,EAAE2B,EAAE,CAAC,EAAEY,EAAE,EAAEvC,EAAE2B,EAAE,CAAC,EAAEa,EAAE,EAAExC,EAAE2B,EAAE,CAAC,EAAE,EAAE,KAAK,kBAAkB,KAAK,iBAAiB,GAAG,KAAK,sBAAsB,OAAO,KAAK,qBAAqBw/C,GAAG,CAAC,KAAK,IAAIjqD,GAAGsK,CAAC,EAAE,KAAK,KAAK,iBAAiB,SAAS,EAAE,MAAME,EAAE,YAAY,KAAK,WAAW,CAAC,GAAG,IAAIe,EAAE,KAAK,qBAAqBkB,EAAE,EAAEnC,EAAEiB,EAAE,CAAC,EAAEmB,EAAE,EAAEpC,EAAEiB,EAAE,CAAC,EAAEwE,EAAE,EAAEzF,EAAEiB,EAAE,CAAC,EAAEgC,EAAE,EAAEjD,EAAEiB,EAAE,CAAC,EAAE2B,EAAE,EAAE,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE1I,GAAG,KAAK,OAAO,KAAK,EAAE4F,EAAE0C,CAAC,EAAE,CAACM,EAAEwC,EAAEvC,EAAEC,CAAC,EAAE,KAAK,QAAQ9I,GAAG,KAAK,KAAK,KAAK,EAAE4F,CAAC,EAAE,CAAC,KAAK,KAAK,KAAK,IAAI,EAAEW,EAAE,KAAK,UAAUA,EAAEgC,EAAEK,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,UAAU,EAAEJ,EAAE4C,EAAE,KAAK,OAAO,EAAE3E,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAEnC,EAAE,KAAK,UAAUA,EAAEgC,EAAEI,EAAE,KAAK,OAAO,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAElJ,GAAG,KAAK,gBAAgB,KAAK,EAAE4F,EAAE0C,CAAC,EAAET,EAAE,KAAK,cAAcA,EAAEkB,CAAC,EAAEjB,EAAE,KAAK,cAAcA,EAAEkB,CAAC,EAAEmC,EAAE,KAAK,cAAcA,EAAElC,CAAC,EAAEN,EAAE,KAAK,cAAcA,EAAEO,CAAC,EAAE,IAAI2C,EAAE,KAAK,oBAAoB,MAAM9a,EAAEwV,EAAEsB,CAAC,CAAC,EAAEyD,EAAE,KAAK,oBAAoB,MAAMva,EAAE,EAAE+W,CAAC,CAAC,EAAEgE,EAAE/a,EAAE4J,EAAE2Q,EAAE3F,CAAC,EAAEhL,EAAEkR,EAAE,KAAK,WAAW,MAAM9a,EAAE0V,EAAE0E,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAGpR,EAAE,KAAK,oBAAoB,MAAM5J,EAAE2V,EAAEiC,CAAC,CAAC,EAAE,KAAK,WAAW,MAAMmD,CAAC,CAAC,EAAE,MAAM,CAACC,EAAGA,EAAGD,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIrH,EAAE,MAAM,UAAU,EAAE,CAAC,MAAMV,CAAC,EAAEU,EAAE,EAAEkhD,GAAGlhD,EAAE,CAAC,OAAO,CAAC,EAAEP,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,QAAQ,KAAK,QAAQ,WAAW,KAAK,WAAW,aAAa,KAAK,aAAa,QAAQ,KAAK,OAAO,EAAE,OAAO,OAAO,OAAO,OAAO,OAAO,CAAC,EAAE,CAAC,EAAEA,CAAC,CAAC,CAAC,UAAUO,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAElS,GAAGiR,EAAEV,EAAE,KAAK,QAAQG,GAAG,QAAQ,KAAK,aAAa,gBAAgB,OAAO,OAAO,KAAK,YAAY,EAAE,OAAO,EAAEstC,GAAG9rC,EAAE,EAAE,KAAK,UAAU,EAAEA,CAAC,CAAC,cAAcjB,EAAEV,EAAE,CAAC,OAAOvQ,GAAGiR,EAAEV,EAAE,EAAE,OAAO,KAAK,aAAa,gBAAgB,OAAO,MAAM,CAAC,CAAC,EAAE8hD,GAAG,UAAU,iBAAiBtnD,GAAE,cAAcsnD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYnhD,EAAE,CAAC,IAAIV,EAAE,IAAI8hD,GAAGphD,CAAC,EAAE,MAAM,OAAO,OAAO,OAAO,OAAO,CAAC,EAAEA,CAAC,EAAE,CAAC,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,WAAWU,EAAEV,EAAE,CAAC,OAAO,IAAIU,EAAEV,CAAC,CAAC,CAAC,EAAE+hD,GAAG,UAAU,aAAavnD,GAAE,cAAcunD,EAAE,EAAE,IAAIC,GAAG,cAAc5R,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAK,KAAK,IAAI,KAAK,IAAIA,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE,KAAK,WAAWA,EAAE,WAAW,KAAK,KAAKA,EAAE,KAAK,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,OAAO,KAAK,WAAW,IAAIV,EAAEU,EAAE,MAAM,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,WAAW,OAAO,EAAEA,EAAE,EAAE,KAAK,KAAK,WAAWA,CAAC,GAAG,KAAKH,EAAEG,CAAC,EAAE,KAAK,WAAWA,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,IAAIP,EAAEH,EAAE,UAAU,KAAK,GAAGA,EAAE,SAAS2B,EAAE,KAAK,cAAc,CAAC,EAAE,OAAOmsC,GAAG,IAAIF,GAAG,EAAE,KAAK,KAAKjsC,EAAE,KAAK,IAAI,EAAE,IAAI,EAAExB,CAAC,CAAC,CAAC,OAAOO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,KAAK,WAAW,KAAK,WAAW,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEshD,GAAG,UAAU,UAAUxnD,GAAE,cAAcwnD,EAAE,EAAE,IAAIC,GAAG,cAAcD,EAAE,CAAC,YAAYthD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,IAAIV,EAAEU,EAAE,MAAM,MAAM,CAACV,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEiiD,GAAG,UAAU,mBAAmBznD,GAAE,cAAcynD,EAAE,EAAE,IAAIC,GAAG,cAAc9R,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,QAAQ,GAAG,KAAK,OAAO,KAAK,KAAK,KAAK,KAAK,KAAK,2BAA2B,eAAe,KAAK,yBAAyB,QAAQA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,MAAMA,EAAE,UAAU,KAAK,CAAC,IAAIV,EAAE,KAAKU,EAAE,WAAW,OAAOV,EAAEU,EAAE,WAAW,KAAK,gBAAgB,CAACV,EAAEU,EAAE,QAAQ,CAAC,CAAC,KAAK,MAAMA,EAAE,MAAM6pC,GAAG,KAAK,MAAM,OAAO,EAAE,KAAK,WAAWsU,GAAGn+C,EAAE,UAAU,EAAEA,EAAE,SAAS,OAAO,KAAK,QAAQA,EAAE,SAAS,KAAK,kBAAkB6uC,GAAG7uC,EAAE,mBAAmB,KAAK,0BAA0B,EAAE,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,KAAK,wBAAwB,EAAE,KAAK,iBAAiBwxC,GAAGxxC,EAAE,gBAAgB,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,kBAAkB4+C,GAAG5+C,EAAE,iBAAiB,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,oBAAoB4+C,GAAG5+C,EAAE,mBAAmB,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,QAAQ,OAAO,KAAK,OAAO,KAAK,UAAU,SAAS,CAACV,EAAE,KAAK,KAAK,EAAE,KAAK,KAAK,kBAAkB,KAAK,kBAAkB,GAAG,KAAK,gBAAgB,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,UAAU,OAAO,CAAC,KAAK,KAAK,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,IAAI,KAAK,UAAU,CAAC,CAAC,QAAQ,EAAE,KAAK,CAAC,CAAC,EAAE,EAAEA,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,mBAAmBU,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAOV,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAEuqC,GAAG,KAAK,WAAW,aAAa,CAAC,EAAE/oC,EAAE,OAAOxB,GAAG,KAAKwB,EAAE0rC,GAAG,EAAE,KAAK,OAAO,KAAK,EAAEltC,EAAE,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,IAAI,GAAGwB,EAAE0rC,GAAG,EAAE,KAAK,OAAO,KAAK,CAAC,EAAE,KAAK,MAAM,OAAO1rC,EAAE8rC,GAAG9rC,EAAE,KAAK,KAAK,KAAK,CAAC,GAAG,KAAK,YAAY,OAAOA,EAAE,KAAK,WAAW,MAAMA,CAAC,IAAIA,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,MAAM,KAAK,MAAM,WAAWi+C,GAAG,KAAK,UAAU,EAAE,QAAQ,KAAK,QAAQ,kBAAkBrP,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,kBAAkB8P,GAAG,KAAK,iBAAiB,EAAE,gBAAgBA,GAAG,KAAK,eAAe,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,iBAAiBpN,GAAG,KAAK,gBAAgB,EAAE,eAAeA,GAAG,KAAK,cAAc,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEwhD,GAAG,UAAU,QAAQ1nD,GAAE,cAAc0nD,EAAE,EAAE,IAAIC,GAAG,cAAc/R,EAAE,CAAC,YAAY1vC,EAAE,CAACA,EAAEA,GAAG,CAAC,EAAE,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,CAAC,QAAQ,CAAC,CAAC,EAAE,KAAK,WAAWA,EAAE,UAAU,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,QAAQV,KAAKU,EAAE,MAAM,CAAC,EAAE,GAAGV,GAAG,KAAK,MAAM,IAAIkpC,EAAE,iEAAiExoC,EAAE,MAAM,CAAC,kHAAkH,EAAE,MAAM,CAACA,EAAE,CAAC,EAAEwrC,GAAGxrC,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,GAAG,KAAK,aAAa,iBAAiB,EAAE,KAAK,EAAE,CAAC,IAAIP,EAAE,CAAC,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,KAAK,EAAEA,EAAExB,EAAE,KAAKwB,CAAC,EAAExB,EAAE,KAAK,CAAC,EAAE,EAAEtC,GAAG,EAAEsC,CAAC,CAAC,CAAC,OAAO2sC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIpsC,EAAE,CAAC,EAAE,KAAK,YAAY,OAAOA,EAAE,WAAW,KAAK,YAAY,IAAIV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEyhD,GAAG,UAAU,UAAU3nD,GAAE,cAAc2nD,EAAE,EAAE,IAAIC,GAAG,cAAchS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,WAAWm+C,GAAGn+C,EAAE,UAAU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,WAAW,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,WAAWi+C,GAAG,KAAK,UAAU,CAAC,EAAE3+C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE0hD,GAAG,UAAU,aAAa5nD,GAAE,cAAc4nD,EAAE,EAAE,IAAIC,GAAG,cAAcjS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,EAAEA,EAAE,EAAE,KAAK,UAAU,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,MAAM,CAACA,EAAE,CAAC,EAAE,KAAK,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEisC,GAAGjsC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,EAAE,KAAK,CAAC,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE2hD,GAAG,UAAU,eAAe7nD,GAAE,cAAc6nD,EAAE,EAAE,IAAIC,GAAG,cAAclS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,YAAYA,EAAE,YAAY,QAAQV,EAAE,EAAEA,EAAE,KAAK,YAAY,OAAO,EAAEA,EAAE,KAAK,UAAU,KAAK,YAAYA,CAAC,CAAC,IAAI,KAAK,YAAYA,CAAC,EAAE,KAAK,CAAC,UAAUU,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,IAAI,CAAC,oBAAoBA,EAAEV,EAAE,CAAC,IAAI,EAAE,6CAA6CG,EAAEH,EAAE,MAAM,EAAE2B,EAAE,EAAEC,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAE3B,EAAE,OAAO,EAAE2B,EAAE,CAAC,IAAI,EAAE3B,EAAE2B,CAAC,EAAE,GAAG,KAAK,UAAU,CAAC,EAAE,GAAGF,IAAI,KAAKA,EAAEE,MAAO,OAAM,IAAIonC,EAAE,0CAA0C,OAAOvnC,GAAG,CAAC,CAAC,IAAIE,EAAEqqC,GAAGxrC,CAAC,EAAE,GAAGkB,IAAI,KAAK,CAAC,GAAGD,IAAI,GAAGE,EAAEF,IAAI,EAAE,MAAM,IAAIunC,EAAE,CAAC,EAAE/oC,EAAEyB,CAAC,EAAEC,EAAEF,CAAC,SAASE,IAAIF,EAAE,MAAM,IAAIunC,EAAE,CAAC,EAAE,OAAO/oC,CAAC,CAAC,mBAAmBO,EAAE,CAAC,IAAIV,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEU,EAAE,OAAO,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,CAAC,CAAC,EAAE,CAACV,EAAE,GAAG,KAAK,CAAC,OAAOA,EAAEU,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,WAAW,EAAEA,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,oBAAoBA,EAAE,MAAM,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO3G,EAAE,EAAEmI,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,YAAY,KAAK,WAAW,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE4hD,GAAG,UAAU,UAAU9nD,GAAE,cAAc8nD,EAAE,EAAE,IAAIC,GAAG,cAAcnS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAEA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,iFAAiF,EAAE,GAAG,CAAC,MAAM,QAAQA,EAAE,IAAI,EAAE,MAAM,IAAI,MAAM,sEAAsEA,EAAE,eAAe,EAAE,IAAIV,EAAEqsC,GAAG,EAAE3rC,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAACpC,EAAE,YAAYoC,EAAE,KAAK,MAAM,EAAE,KAAK,EAAEV,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+B,KAAK,UAAUU,EAAE,IAAI,EAAE,4DAA4D,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,EAAE,OAAO,KAAK,IAAI,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,KAAK,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAEP,IAAI,CAACH,EAAEG,EAAE,CAAC,EAAEO,EAAE,CAAC,CAAC,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOnC,GAAG6xC,GAAGhvC,CAAC,EAAE,KAAK,kBAAkB,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE6hD,GAAG,UAAU,UAAU/nD,GAAE,cAAc+nD,EAAE,EAAE,IAAIC,GAAG,cAAcpS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,gBAAgB,GAAGA,GAAG,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,EAAEA,EAAE,UAAU,KAAK,UAAU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,UAAU,KAAK,SAAS,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,GAAG,OAAOhT,GAAG+J,GAAG,EAAE,KAAK,SAAS,EAAEiJ,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,GAAGwB,EAAE,GAAGC,EAAEzU,GAAG+J,GAAG,EAAE,KAAK,SAAS,EAAEiJ,EAAEwB,CAAC,EAAE,OAAO/K,EAAE,EAAE/H,GAAE+S,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE4gD,GAAG,UAAU,UAAUhoD,GAAE,cAAcgoD,EAAE,EAAE,IAAIC,GAAG,cAAcrS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAW,KAAK,KAAK,+BAA+B,gBAAgBA,EAAE,iBAAiB,MAAMA,EAAE,YAAY,KAAK,CAAC,IAAIV,EAAE,KAAKU,EAAE,WAAW,OAAOV,EAAEU,EAAE,WAAWA,EAAE,aAAa,KAAK,KAAK,gBAAgB,CAACV,EAAE,IAAI,EAAE,KAAK,gBAAgB,CAACA,CAAC,EAAE,OAAO0pC,GAAGhpC,EAAE,WAAW,CAAC,CAAC,CAAC,KAAK,SAASA,EAAE,SAAS6pC,GAAG,KAAK,SAAS,UAAU,EAAE,KAAK,UAAU7pC,EAAE,UAAU6pC,GAAG,KAAK,UAAU,WAAW,EAAE,KAAK,sBAAsBgF,GAAG7uC,EAAE,uBAAuB,KAAK,8BAA8B,EAAE,KAAK,sBAAsB4+C,GAAG5+C,EAAE,qBAAqB,EAAE,KAAK,oBAAoB4+C,GAAG5+C,EAAE,mBAAmB,EAAE,KAAK,qBAAqBwxC,GAAGxxC,EAAE,oBAAoB,EAAE,KAAK,SAASA,EAAE,SAAS,KAAK,gBAAgBA,EAAE,SAAS,KAAK,YAAYA,EAAE,WAAW,CAAC,MAAMA,EAAE,CAAC,KAAK,WAAW,KAAK,UAAU,aAAa,CAAC,KAAK,SAAS,KAAK,SAAS,EAAE,KAAK,MAAM,KAAK,sBAAsB,KAAK,sBAAsB,GAAG,KAAK,oBAAoB,EAAE,KAAK,MAAM,EAAE,CAAC,6BAA6BA,EAAE,CAAC,CAAC,YAAYA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,KAAK,UAAUkD,EAAEgvC,GAAGhvC,CAAC,EAAExJ,GAAGwJ,EAAEpB,GAAGoB,CAAC,CAAC,GAAG,IAAI,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAE,KAAK,aAAa,KAAK,MAAM,CAAC,GAAGA,EAAE,KAAK,SAAS,EAAE,IAAIV,EAAE0pC,GAAG,KAAK,WAAW,EAAE,GAAG1pC,EAAE,SAASU,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,oBAAoB,KAAK,mDAAmDxoC,GAAG,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAIwB,EAAE3B,EAAEG,CAAC,EAAEyB,EAAElB,EAAEP,EAAE,CAAC,EAAE,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,IAAIC,EAAE,MAAM,IAAIsnC,EAAE,oBAAoB,KAAK,mDAAmDxoC,GAAG,EAAEiB,GAAG,OAAO3B,EAAE,CAAC,EAAE4B,GAAG,GAAG,CAAC,CAAC,MAAM,CAAClB,EAAE,CAAC,EAAE,GAAGV,EAAE,KAAK,SAAS,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,EAAE,QAAQ,UAAU,EAAE+rC,GAAG,EAAE,OAAO,GAAG,IAAItsC,EAAEotC,GAAG,KAAK,WAAW,KAAK,EAAE/zC,EAAE,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,EAAE,OAAOA,EAAE2G,EAAEwvC,GAAG,KAAK,mBAAmB,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjvC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,KAAK,UAAU,sBAAsB4uC,GAAG,KAAK,qBAAqB,EAAE,sBAAsB8P,GAAG,KAAK,qBAAqB,EAAE,oBAAoBA,GAAG,KAAK,mBAAmB,EAAE,qBAAqBpN,GAAG,KAAK,oBAAoB,EAAE,SAAS,KAAK,SAAS,YAAY,KAAK,WAAW,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE+hD,GAAG,UAAU,YAAYjoD,GAAE,cAAcioD,EAAE,EAAE,IAAIC,GAAG,cAActS,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,cAAcA,EAAE,CAAC,MAAM,IAAIyoC,EAAE,CAAC,gCAAgCzoC,EAAEV,EAAE,CAAC,GAAGU,GAAG,MAAMV,GAAG,KAAK,OAAO,KAAK,GAAGU,EAAE,OAAOV,EAAE,OAAO,OAAO,KAAK,gCAAgCA,EAAEU,CAAC,EAAE,GAAGV,EAAE,SAAS,EAAE,OAAOU,EAAE,IAAI,EAAEA,EAAE,MAAM,EAAEA,EAAE,OAAOV,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAEA,EAAE,OAAOV,EAAE,OAAOG,CAAC,EAAEyB,EAAE5B,EAAEG,CAAC,EAAE,GAAGwB,GAAG,MAAMC,GAAG,MAAMD,EAAE,GAAGC,EAAE,EAAE,EAAE,KAAK,IAAI,UAAUD,IAAI,EAAE,EAAE,KAAKC,CAAC,UAAUA,IAAI,EAAE,EAAE,KAAKD,CAAC,MAAM,CAAC,GAAGA,IAAIC,EAAE,MAAM,IAAIsnC,EAAE,wDAAwD,KAAK,UAAUxoC,CAAC,EAAE,IAAI,KAAK,UAAUV,CAAC,CAAC,EAAE,EAAE,KAAK2B,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,MAAMjB,EAAE,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,CAAC,MAAM,QAAQA,EAAE,CAAC,CAAC,IAAIA,EAAE,CAACivC,GAAGjvC,CAAC,CAAC,GAAGA,EAAEA,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,wEAAwExoC,EAAE,kBAAkB,EAAE,IAAIV,EAAE,CAAC,EAAE,QAAQ2B,KAAKjB,EAAEiB,GAAG,MAAMA,EAAE,CAAC,IAAI,MAAM3B,EAAE,KAAK2B,EAAE,CAAC,CAAC,EAAE,GAAG3B,EAAEmqC,GAAGnqC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIkpC,EAAE,8EAA8E,KAAK,UAAUxoC,CAAC,IAAI,EAAE,IAAI,EAAEA,EAAE,CAAC,GAAG,KAAK,KAAKA,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQiB,EAAE,EAAEA,EAAEjB,EAAE,OAAO,EAAEiB,EAAE,CAAC,IAAIC,EAAElB,EAAEiB,CAAC,GAAG,KAAK,KAAKjB,EAAEiB,CAAC,EAAE,MAAM,CAAC,EAAE,EAAE,KAAK,gCAAgC,EAAEC,CAAC,CAAC,CAAC,IAAIzB,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,MAAM,EAAEjB,EAAE,QAAQ,IAAI,IAAI,IAAIypC,GAAGhqC,CAAC,EAAE,SAAS,EAAE,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGkD,EAAEA,EAAE,KAAK,gBAAgB,CAAC,IAAI,EAAE,CAAC,EAAEP,EAAEO,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,GAAGxB,EAAE,QAAQ,IAAI,IAAI,GAAG,CAAC,IAAIwB,EAAEyqC,GAAGjsC,CAAC,EAAE,QAAQyB,KAAKlB,EAAE,CAAC,IAAImB,EAAED,EAAE,KAAK,QAAQE,EAAE,EAAEA,EAAEH,EAAEE,EAAE,EAAEC,EAAEF,EAAE8qC,GAAG9qC,EAAE,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAO,KAAK,cAAc,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE,GAAG,QAAQG,KAAKpB,EAAE,CAAC,IAAI,EAAEoB,EAAE,KAAK,GAAG,GAAG,KAAK,CAAC,IAAIU,EAAEV,EAAE,MAAM,EAAEU,EAAE,CAAC,EAAEE,EAAEF,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAEG,EAAEnJ,EAAEsI,EAAE,CAAC,CAAC,EAAE,OAAOoqC,GAAG1pC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,EAAEG,EAAE9E,GAAG8E,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAEnJ,EAAEmJ,EAAED,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEhB,EAAE,EAAE,SAAS,EAAE,EAAE,CAAC,IAAIa,EAAE6pC,GAAG,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKxuC,GAAGiE,EAAEU,CAAC,CAAC,EAAEb,EAAE,EAAE,MAAM,EAAE,KAAKG,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,cAAc,CAAC,EAAEC,EAAED,EAAE,KAAK,GAAGD,GAAG,GAAGE,GAAG,KAAK,CAAC,IAAIC,EAAEF,EAAE,MAAM,EAAEE,EAAE,OAAOU,EAAEV,EAAE,EAAE,CAAC,EAAE,EAAE,CAACU,CAAC,EAAE,OAAOV,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,EAAEF,EAAEpI,EAAEqE,GAAGrE,EAAEoI,EAAE,CAAC,GAAGY,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,SAASX,EAAE,EAAE,CAAC,IAAIC,EAAE,CAACD,EAAE,CAAC,EAAE,OAAOwqC,GAAG,EAAExqC,EAAE,CAAC,CAAC,EAAED,EAAE/D,GAAG+D,EAAEE,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,KAAM,QAAO,KAAK,cAAclB,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEA,EAAE,IAAIV,EAAEU,EAAE,CAAC,GAAG,KAAKV,EAAE,KAAKA,EAAEU,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,CAAC,GAAG,KAAK,KAAKO,EAAEP,CAAC,EAAE,MAAM,CAAC,EAAEH,EAAE,KAAK,gCAAgCA,EAAE2B,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQxB,KAAKO,EAAEP,GAAG,MAAMA,EAAE,CAAC,IAAI,MAAM,EAAE,KAAKA,EAAE,CAAC,CAAC,EAAE,OAAO,EAAEgqC,GAAG,CAAC,EAAE,EAAE,SAAS,EAAEnqC,EAAE,EAAE,OAAOA,CAAC,EAAEA,EAAE,CAAC,IAAI,EAAE,OAAOA,CAAC,EAAEA,CAAC,CAAC,YAAYU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGwC,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAIkpC,EAAE,2BAA2B,EAAE,GAAG,CAAC,MAAM,QAAQxoC,CAAC,EAAE,MAAM,IAAIwoC,EAAE,6BAA6B,EAAE,GAAGlpC,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,mGAAmGxoC,EAAE,aAAaV,EAAE,SAAS,EAAE,GAAGA,EAAE,MAAMG,GAAGA,GAAG,IAAI,EAAE,OAAO,KAAKH,EAAEA,EAAE,IAAIG,GAAGA,GAAG,KAAKA,EAAEpO,GAAGoO,EAAE,CAAC,CAAC,EAAE,IAAI,EAAEH,EAAE,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,OAAO,EAAE,EAAEG,EAAE,EAAEhL,GAAG,EAAE6K,EAAEG,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,EAAEwiD,GAAG,cAAcD,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEhT,EAAEgT,EAAEU,EAAE,CAAC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE2iD,GAAG,UAAU,MAAMnoD,GAAE,cAAcmoD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEpJ,EAAEoJ,EAAEU,EAAE,CAAC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE4iD,GAAG,UAAU,WAAWpoD,GAAE,cAAcooD,EAAE,EAAE,IAAIC,GAAG,cAAcH,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEhT,EAAEgT,EAAEU,EAAE,CAAC,CAAC,EAAE,OAAO9J,EAAE,EAAE8J,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE6iD,GAAG,UAAU,UAAUroD,GAAE,cAAcqoD,EAAE,EAAE,IAAIC,GAAG,cAAcJ,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAEjK,GAAGiK,EAAEU,EAAE,CAAC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE8iD,GAAG,UAAU,UAAUtoD,GAAE,cAAcsoD,EAAE,EAAE,IAAIC,GAAG,cAAcL,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEU,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEV,EAAE3J,GAAG2J,EAAEU,EAAE,CAAC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,CAAC,EAAE+iD,GAAG,UAAU,UAAUvoD,GAAE,cAAcuoD,EAAE,EAAE,IAAIC,GAAG,cAAcN,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,aAAa,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,KAAK,aAAaA,EAAE,KAAK,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,IAAIA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,uEAAuE,EAAExoC,EAAEA,EAAE,IAAIV,EAAE,GAAG,QAAQG,KAAKO,EAAE,GAAGP,GAAG,KAAK,CAACH,EAAE,GAAG,KAAK,CAAC,GAAGA,EAAE,OAAO,IAAI,EAAE,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEO,EAAE,OAAO,EAAEP,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,CAAC,EAAE,MAAM,EAAEwB,EAAE,OAAO,KAAK,KAAK,CAAC,EAAE,IAAIC,EAAE,GAAG,QAAQC,KAAK,EAAE,GAAGvD,EAAE,YAAYuD,EAAEF,CAAC,EAAE,CAACC,EAAE,GAAG,KAAK,CAACA,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAIunC,EAAE,4GAA4G,KAAK,UAAUxoC,CAAC,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAOlD,EAAE,IAAI0vC,GAAGxsC,EAAE,KAAK,IAAI,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,GAAG,EAAE,MAAM,QAAQA,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,GAAG,MAAM,IAAIwoC,EAAE,6DAA6D,EAAE,IAAIlpC,EAAEU,EAAE,EAAEV,EAAE,CAAC,EAAE,MAAM,EAAEG,EAAE,KAAK,KAAK,EAAE,EAAE,OAAO,KAAK,KAAK,KAAK,KAAK,QAAQwB,KAAK3B,EAAE,MAAM,CAAC,EAAE,CAAC,GAAG,EAAEG,CAAC,GAAG,MAAMwB,EAAExB,CAAC,GAAG,KAAK,CAAC,EAAEA,CAAC,EAAE,KAAK,KAAK,CAAC,EAAEA,CAAC,GAAGwB,EAAExB,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,YAAYO,EAAEV,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,GAAG,CAAC,MAAM,QAAQA,CAAC,EAAE,MAAM,IAAIkpC,EAAE,2CAA2C,EAAE,GAAG,CAAC,MAAM,QAAQxoC,CAAC,EAAE,MAAM,IAAIwoC,EAAE,6CAA6C,EAAE,GAAGlpC,EAAE,SAASU,EAAE,OAAO,MAAM,IAAIwoC,EAAE,mCAAmClpC,EAAE,qCAAqCU,EAAE,SAAS,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG,GAAGwC,EAAE,QAAQ4B,GAAG,CAAC,GAAGA,GAAG,KAAK,CAAC,EAAE,GAAG,MAAM,CAAC,CAAC,EAAE,EAAE,OAAO,KAAK,IAAIzB,EAAE,CAAC,EAAE,QAAQyB,EAAE,EAAEA,EAAElB,EAAE,OAAO,EAAEkB,EAAE5B,EAAE4B,CAAC,GAAG,KAAKzB,EAAE,KAAKtR,GAAEwI,GAAGqJ,EAAEkB,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE5B,EAAE4B,CAAC,EAAE,KAAKlB,EAAEkB,CAAC,EAAE,KAAKzB,EAAE,KAAKpO,GAAGiO,EAAE4B,CAAC,EAAE,EAAE,CAAC,EAAEzB,EAAE,KAAKH,EAAE4B,CAAC,CAAC,EAAE,IAAID,EAAEzS,GAAGiR,EAAE,KAAK,IAAI,EAAE,OAAOjT,GAAGyU,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjB,EAAE,CAAC,KAAK,KAAK,IAAI,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEsiD,GAAG,UAAU,cAAcxoD,GAAE,cAAcwoD,EAAE,EAAE,SAASC,GAAGnjD,EAAE,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAASojD,GAAGpjD,EAAE,EAAEE,EAAE,CAAC,GAAGF,EAAE,MAAM,OAAO,GAAG,EAAE,MAAM,OAAO,EAAE,MAAM,IAAIqpC,GAAG,kEAAkE,EAAE,GAAG7qC,EAAE,OAAOwB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuDA,EAAE,MAAM,QAAQ,EAAExB,EAAE,OAAOwB,EAAE,MAAM,QAAQ,EAAE,IAAI,uDAAuD,EAAE,MAAM,QAAQ,EAAE,OAAOE,GAAG,WAAWA,EAAE,CAACA,EAAEA,CAAC,GAAGF,EAAE,QAAQ,aAAa,EAAE,QAAQ,YAAY,MAAM,IAAIqpC,GAAG,6DAA6D,EAAE,IAAIjpC,EAAEJ,EAAE,MAAM,OAAOK,EAAE,EAAE,MAAM,OAAOH,GAAG,OAAOA,EAAE,CAACE,EAAE,EAAEC,EAAE,CAAC,GAAG,IAAI,EAAEH,EAAE,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAE,GAAG0C,EAAEC,EAAE,CAAC,EAAED,EAAEC,EAAE,IAAI2B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAE,EAAEtI,EAAE,EAAE,EAAE,MAAM,OAAOsI,CAAC,CAAC,CAAC,SAAS3B,EAAED,EAAE,CAAC,EAAEC,EAAED,EAAE,IAAI4B,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAED,EAAE,KAAK,CAAC,EAAEhC,EAAEtG,EAAEsG,EAAEA,EAAE,MAAM,OAAOgC,CAAC,CAAC,CAAC,MAAM,EAAE,EAAE,IAAID,EAAE,GAAG/B,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,SAAS,EAAE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE+B,EAAElF,GAAG/F,EAAEkJ,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE+B,EAAElF,GAAG/F,EAAEiH,GAAGiC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,MAAM,CAAC,IAAIgC,EAAE,EAAE,CAAC,IAAIhC,EAAE,MAAM,OAAO,EAAEiC,EAAE,EAAE,CAAC,IAAI,EAAE,MAAM,OAAO,EAAEF,EAAEpM,GAAGqK,EAAE,EAAEgC,EAAEC,CAAC,CAAC,CAAC,GAAG,EAAE,EAAE,CAAC,IAAID,EAAE5B,EAAEC,EAAE2B,EAAE5B,EAAEC,EAAE,EAAE2B,EAAE5B,EAAE,EAAE,IAAI6B,EAAE,CAAC,EAAE,QAAQS,EAAEV,EAAEU,EAAEV,EAAE,EAAE,EAAEU,EAAET,EAAE,KAAKS,CAAC,EAAEX,EAAExF,GAAGwF,EAAEE,CAAC,CAAC,CAAC,OAAOF,EAAE,MAAM,SAAS,IAAIA,EAAE9P,GAAG8P,EAAE,CAAC,GAAGA,CAAC,CAAC,CAAC,CAAC,IAAIshD,GAAG,cAAcT,EAAE,CAAC,YAAYhiD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,UAAUA,EAAE,WAAW,KAAK,GAAGA,EAAE,UAAU,KAAK,gBAAgB,GAAG,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACpC,EAAE,OAAO,MAAM,QAAQoC,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,EAAE,IAAI,+DAA+D,EAAE,IAAIV,EAAEU,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,GAAGV,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAImpC,GAAG,8DAA8D,EAAE,IAAIhpC,EAAE,KAAK,cAAcH,EAAE,CAAC,EAAE,GAAGA,EAAEG,EAAE,CAAC,CAAC,IAAI,EAAEA,EAAE,CAAC,CAAC,EAAE,MAAM,IAAI+oC,EAAE,8BAA8BlpC,EAAEG,EAAE,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,cAAcO,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,oEAAoExoC,EAAE,kBAAkB,EAAE,IAAIV,EAAEU,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAEP,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAEA,EAAE,KAAK,KAAK,IAAI,CAACwB,EAAEC,IAAIqhD,GAAGthD,EAAEjB,EAAEkB,CAAC,EAAE,MAAM,MAAM,CAAC,EAAEzB,EAAE,CAAC8iD,GAAG,KAAK,KAAKjjD,EAAE,MAAM,MAAM,EAAEijD,GAAG,KAAK,KAAK,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK,YAAYjjD,EAAEw4C,GAAGx4C,EAAEG,EAAE,CAAC,CAAC,EAAE,EAAEq4C,GAAG,EAAEr4C,EAAE,CAAC,CAAC,GAAG+iD,GAAGljD,EAAE,EAAEG,CAAC,CAAC,CAAC,cAAcO,EAAEV,EAAE,CAAC,IAAI,EAAE,OAAO,MAAM,QAAQ,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,EAAE,CAACijD,GAAG,KAAK,KAAKviD,EAAE,MAAM,EAAEuiD,GAAG,KAAK,KAAKjjD,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,mBAAmBU,EAAE,CAACpC,EAAE,OAAO,MAAM,QAAQoC,CAAC,GAAGA,EAAE,SAAS,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,EAAE,IAAI,+DAA+D,EAAE,IAAIV,EAAEU,EAAE,CAAC,EAAE,MAAM,EAAE,EAAEA,EAAE,CAAC,EAAE,MAAM,EAAE,GAAGV,EAAE,OAAO,GAAG,EAAE,OAAO,EAAE,MAAM,IAAImpC,GAAG,8DAA8D,EAAE,IAAIhpC,EAAE,KAAK,cAAcH,EAAE,CAAC,EAAEA,EAAE,OAAOG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,OAAO,EAAE,CAAC,EAAE,IAAIwB,EAAE3B,EAAE,OAAO,CAAC,EAAE,OAAO2B,EAAE,SAAS,GAAGA,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,OAAO,IAAI,CAAC,WAAW,CAAC,IAAIU,EAAE,CAAC,KAAK,KAAK,KAAK,UAAU,KAAK,SAAS,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEyiD,GAAG,UAAU,MAAM3oD,GAAE,cAAc2oD,EAAE,EAAE,IAAIC,GAAG,cAAchT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,OAAOA,EAAE,MAAM,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,OAAO,KAAK,MAAM,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAOotC,GAAG,IAAI9gD,EAAEogD,GAAG,EAAE,MAAM,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,IAAI,EAAEptC,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEojD,GAAG,UAAU,gBAAgB5oD,GAAE,cAAc4oD,EAAE,EAAE,IAAIC,GAAG,cAAcjT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,IAAI,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAE,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,KAAK,GAAG,KAAK,KAAK,EAAEotC,GAAG,IAAI,CAAC,IAAInsC,EAAE,KAAK,KAAK,KAAK,MAAM,EAAE,KAAK,KAAK,EAAE,OAAO/K,EAAE,EAAEw2C,GAAG,EAAE,MAAM,EAAEzrC,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE3B,EAAE,UAAU,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEqjD,GAAG,UAAU,kBAAkB7oD,GAAE,cAAc6oD,EAAE,EAAE,IAAIC,GAAG,cAAclT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,KAAK,KAAK,WAAWA,EAAE,UAAU,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,YAAYgvC,GAAGhvC,CAAC,EAAE,KAAK,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,MAAM,UAAU,EAAEV,EAAE,CAAC,KAAK,KAAK,IAAI,EAAE,OAAO,OAAO,OAAOA,EAAEU,CAAC,EAAEV,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAG,KAAK,KAAK,GAAG,KAAK,KAAK,EAAE,CAAC,IAAI,EAAE,KAAK,eAAekD,CAAC,EAAE,OAAOotC,GAAG,IAAI,CAAC,IAAInsC,EAAE+tC,GAAGhvC,CAAC,EAAEkB,EAAE,mBAAmBC,EAAE,mBAAmBC,EAAE,CAACF,EAAEC,EAAEE,EAAEzO,GAAGoF,GAAG,CAAC,EAAE,KAAK,IAAI,EAAEqJ,EAAE0qC,GAAG1qC,EAAE,SAAS,EAAE,IAAIS,IAAI,EAAE,KAAK,OAAO,EAAE,KAAK,KAAKV,GAAG,KAAK,IAAIW,EAAE,CAACD,EAAEV,EAAE,KAAK,KAAKY,EAAE1V,EAAE4J,EAAE+K,EAAEI,CAAC,EAAEnL,EAAE5J,EAAE+U,EAAE,EAAE,EAAED,CAAC,CAAC,EAAE,OAAO9U,EAAE4J,EAAE8L,EAAEF,CAAC,EAAEC,CAAC,CAAC,EAAE,IAAIitC,GAAGhvC,CAAC,EAAEV,EAAE,UAAU,EAAE,CAAC,CAAC,OAAOU,CAAC,CAAC,CAAC,CAAC,EAAE4iD,GAAG,UAAU,eAAe9oD,GAAE,cAAc8oD,EAAE,EAAE,SAASC,GAAGzjD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,KAAK,CAAC,IAAI,EAAE,GAAGL,EAAE,OAAO,EAAE,EAAE7R,GAAG6R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,UAAUL,EAAE,OAAO,EAAE,EAAE5R,GAAG4R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,UAAUL,EAAE,OAAO,EAAE,EAAE3R,GAAG2R,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,MAAO,OAAM,IAAIgpC,GAAG,2DAA2DrpC,EAAE,UAAU,EAAE,OAAO,CAAC,CAAC,SAAS0jD,GAAG1jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAI,EAAE9G,GAAGoJ,EAAEI,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAAS,MAAM,CAAC0hD,GAAGzjD,EAAE,EAAE+B,EAAE7B,EAAE,EAAEG,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS4hD,GAAG3jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAI,EAAE9G,GAAGoJ,EAAEI,CAAC,EAAE,EAAE,EAAE,KAAK2B,EAAE,EAAE,SAASC,EAAE,CAAC,EAAE,QAAQc,KAAKypC,GAAG,EAAEvsC,EAAE,IAAI,EAAEI,EAAE,QAAQ0C,CAAC,IAAI,GAAGd,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAKhC,EAAE,MAAM8C,CAAC,CAAC,EAAE,IAAIb,EAAEvI,EAAE,EAAEsI,CAAC,EAAEU,EAAEhJ,EAAEqI,EAAEC,CAAC,EAAEW,EAAE,GAAG,KAAK,KAAKjJ,EAAE,EAAEsI,CAAC,EAAEY,EAAE1C,GAAG,KAAK,KAAKxG,EAAEwG,EAAE8B,CAAC,EAAE,MAAM,CAACyhD,GAAGzjD,EAAEiC,EAAES,EAAEE,EAAED,EAAEtC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS6hD,GAAG5jD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,KAAK,CAAC,OAAO7B,EAAE,YAAY4B,EAAE,MAAM,EAAE,KAAK,EAAEmsC,GAAG,EAAEvsC,EAAE,KAAK,CAAC,CAAC,EAAE0jD,GAAG1jD,EAAE,EAAEE,EAAEE,EAAEC,CAAC,EAAEsjD,GAAG3jD,EAAE,EAAEE,EAAEE,EAAEC,CAAC,CAAC,CAAC,IAAIwjD,GAAG,cAAcvT,EAAE,CAAC,YAAY1vC,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,gBAAgB,GAAG,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,KAAK,SAASA,EAAE,UAAU,KAAK,IAAIA,EAAE,SAAS,KAAK,QAAQA,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,MAAM,EAAE,KAAK,sBAAsB6uC,GAAG7uC,EAAE,uBAAuB,OAAO,EAAE,KAAK,0BAA0B6uC,GAAG7uC,EAAE,2BAA2B,MAAM,EAAE,KAAK,eAAewxC,GAAGxxC,EAAE,cAAc,EAAE,KAAK,gBAAgBwxC,GAAGxxC,EAAE,eAAe,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,CAAC,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKU,EAAE,OAAO,EAAEA,EAAEV,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAIkpC,EAAE,QAAQlpC,gGAAgG,KAAK,UAAUU,CAAC,IAAI,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAKsb,EAAE,OAAO,KAAK,CAAC,CAACV,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,KAAK,QAAQ,KAAK,MAAM,KAAK,UAAU,QAAQA,EAAE,KAAK,KAAK,iBAAiB,KAAK,iBAAiB,GAAG,KAAK,eAAe,GAAG,KAAK,SAAS,KAAK,KAAK,KAAK,UAAU,OAAOA,EAAE,KAAK,KAAK,gBAAgB,KAAK,gBAAgB,GAAG,KAAK,cAAc,GAAG,KAAK,WAAW,KAAK,UAAU,cAAcA,EAAE,KAAK,KAAK,sBAAsB,KAAK,EAAE,EAAE,KAAK,eAAe,KAAK,UAAU,kBAAkBA,EAAE,KAAK,KAAK,0BAA0B,KAAK,EAAE,EAAE,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,UAAU,KAAK,GAAGA,EAAE,SAASG,EAAEuvC,GAAGhvC,CAAC,EAAEiB,EAAExB,EAAE,MAAMyB,EAAED,EAAE,OAAOE,EAAEwqC,GAAG,EAAEzqC,CAAC,EAAEE,EAAE,KAAK,MAAM,EAAE,KAAK,KAAK,KAAK,KAAKF,EAAEC,EAAE,OAAOC,EAAE,CAAC,EAAE,IAAI,EAAEwnC,GAAG,EAAE1nC,CAAC,EAAE,EAAEE,CAAC,EAAEH,EAAEG,CAAC,EAAE,IAAIU,EAAEX,EAAE,MAAM,EAAEW,EAAE,KAAK,EAAE,IAAI,EAAE,CAAClE,EAAE,YAAYkE,EAAE6pC,GAAG,EAAEzqC,CAAC,EAAE,MAAM,EAAEA,EAAE,CAAC,CAAC,EAAEc,EAAE,IAAI,CAAC,GAAG,EAAE,CAAC,IAAIkC,EAAEpL,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,EAAE+K,EAAE/K,EAAE,KAAK,eAAe,KAAK,EAAE,CAAC,EAAEgL,EAAE,KAAK,OAAOhL,EAAE,KAAK,KAAK,KAAK,EAAE,CAAC,EAAE,KAAKiL,EAAE,KAAK,MAAMjL,EAAE,KAAK,MAAM,KAAK,EAAE,CAAC,EAAE,KAAK,OAAO+pD,GAAGpjD,EAAEyE,EAAEL,EAAEC,EAAEC,EAAE,KAAK,OAAO,CAAC,KAAM,QAAO8+C,GAAGpjD,EAAE,KAAK,WAAW,KAAK,EAAE,KAAK,eAAe,KAAK,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,EAAE,KAAK,OAAO,KAAK,KAAK,KAAK,MAAM,KAAK,EAAE,KAAK,OAAO,CAAC,EAAE,GAAG,CAAC,EAAE,OAAOuC,EAAE,EAAE,GAAG,CAACC,EAAEC,EAAEkB,CAAC,EAAE4/C,GAAGvjD,EAAE,KAAK,MAAM,KAAK,EAAE,KAAK,KAAK,KAAK,EAAE0B,EAAE,KAAK,OAAO,EAAEkC,EAAE,CAACa,EAAEL,EAAEC,IAAI,CAAChH,EAAE,IAAI,CAAC,IAAIiH,EAAE,EAAED,EAAEE,EAAEE,EAAE,KAAK,EAAED,EAAE/N,EAAE8F,GAAGgI,EAAEH,CAAC,EAAEE,CAAC,EAAEG,EAAE,MAAMlI,GAAGgI,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAYZ,EAAE,KAAK,WAAWnB,EAAE,KAAK,QAAQ,EAAEmB,EAAE,KAAK,eAAeD,EAAE,KAAK,QAAQ,EAAMnB,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIjC,EAAE,CAAC,KAAK,KAAK,KAAK,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgB4uC,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,sBAAsBA,GAAG,KAAK,qBAAqB,EAAE,0BAA0BA,GAAG,KAAK,yBAAyB,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,eAAepN,GAAG,KAAK,cAAc,EAAE,gBAAgBA,GAAG,KAAK,eAAe,CAAC,EAAEhyC,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEijD,GAAG,UAAU,qBAAqBnpD,GAAE,cAAcmpD,EAAE,EAAE,IAAIC,GAAG,cAAcxT,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,KAAKA,EAAE,MAAM,KAAK,GAAGA,EAAE,KAAK,OAAO,KAAK,MAAM,UAAU,GAAG,CAAC,OAAO,UAAU,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,KAAK,MAAM,UAAU,MAAM,QAAQ,KAAK,IAAI,GAAG,QAAQV,KAAK,KAAK,KAAK,GAAG,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,0DAA0D,KAAK,UAAU,KAAK,IAAI,GAAG,MAAO,OAAM,IAAI,MAAM,wEAAwE,KAAK,UAAU,KAAK,IAAI,GAAG,EAAE,KAAK,QAAQU,EAAE,SAAS,KAAK,KAAKA,EAAE,QAAQ,KAAK,OAAOA,EAAE,QAAQ,KAAK,GAAGA,EAAE,OAAO,KAAK,MAAMA,EAAE,OAAO,KAAK,GAAGA,EAAE,MAAM,KAAK,gBAAgB6uC,GAAG7uC,EAAE,iBAAiB,OAAO,EAAE,KAAK,iBAAiB6uC,GAAG7uC,EAAE,kBAAkB,MAAM,EAAE,KAAK,gBAAgB4+C,GAAG5+C,EAAE,eAAe,EAAE,KAAK,iBAAiB4+C,GAAG5+C,EAAE,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,OAAO,KAAK,MAAM,WAAW,KAAK,KAAK,CAAC,KAAK,IAAI,GAAG,QAAQiB,EAAE,EAAEA,EAAE,KAAK,KAAK,OAAO,EAAEA,EAAE,KAAK,KAAKA,CAAC,EAAE,IAAI,KAAK,KAAKA,CAAC,GAAG3B,GAAG,QAAQ2B,KAAK,KAAK,KAAK,GAAGA,EAAE,GAAGA,GAAG3B,EAAE,MAAM,IAAI,MAAM,iBAAiB2B,GAAG,EAAE,GAAG,KAAK,KAAK,SAASwoC,GAAG,KAAK,IAAI,EAAE,OAAO,MAAM,IAAI,MAAM,4BAA4B,KAAK,MAAM,EAAE,IAAI,EAAE,KAAK,KAAK,IAAIxoC,GAAGjB,EAAEiB,CAAC,CAAC,EAAExB,EAAE,GAAG,KAAK,MAAM,KAAK,MAAM,KAAK,UAAU,QAAQ,EAAE,UAAU,KAAK,iBAAiB,KAAK,iBAAiBA,CAAC,EAAE,KAAK,MAAM,KAAK,KAAK,OAAO,KAAK,KAAK,KAAK,UAAU,OAAO,EAAE,UAAU,KAAK,gBAAgB,KAAK,gBAAgBA,CAAC,EAAE,KAAK,KAAK,KAAK,KAAK,MAAM,EAAE,CAAC,KAAKO,EAAEV,EAAE,CAAC,IAAI,EAAE0vC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAExB,EAAE,OAAO,OAAO3C,EAAE,IAAI,CAAC,GAAG,CAAC,KAAKqE,EAAE,SAASC,CAAC,EAAEpL,GAAG,EAAE,KAAK,KAAK,EAAE,EAAEqL,EAAEunC,GAAG,EAAE3nC,CAAC,EAAE,QAAQ,KAAK,KAAK,KAAKI,EAAE,CAAC,EAAE5B,EAAE,CAAC,EAAE,IAAIqC,EAAE,GAAG,GAAG,MAAM,EAAE,MAAM,SAASb,EAAEnI,EAAE,EAAEuI,CAAC,EAAE,EAAEU,EAAE,KAAK,MAAMD,EAAE,KAAK,MAAM,KAAK,CAAC,EAAE,KAAKE,EAAE,KAAK,OAAOF,EAAE,KAAK,KAAK,KAAK,CAAC,EAAE,KAAKG,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEjB,EAAE,EAAE,EAAE,KAAK,KAAK,QAAQ,CAAC,IAAI,IAAIgB,EAAE,KAAKxC,EAAE,CAAC,CAAC,EAAEyC,EAAE,KAAK,CAAC,IAAID,EAAE,KAAK,CAAC,EAAEC,EAAE,KAAKzC,EAAE,CAAC,CAAC,GAAG,OAAO0B,EAAEpE,GAAGoE,EAAEc,CAAC,EAAEb,EAAErE,GAAGqE,EAAEa,CAAC,EAAEF,GAAG,OAAOA,EAAEhF,GAAGgF,EAAEG,CAAC,GAAGF,GAAG,OAAOA,EAAEjF,GAAGiF,EAAEE,CAAC,GAAG2gD,GAAG,EAAE1hD,EAAEC,EAAEY,EAAED,EAAE,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAI/B,EAAE,CAAC,KAAK,KAAK,KAAK,QAAQ,KAAK,QAAQ,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,gBAAgB4uC,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,EAAE,gBAAgB8P,GAAG,KAAK,eAAe,EAAE,iBAAiBA,GAAG,KAAK,gBAAgB,CAAC,EAAEp/C,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEkjD,GAAG,UAAU,qBAAqBppD,GAAE,cAAcopD,EAAE,EAAE,SAASC,GAAG/jD,EAAE,EAAEE,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,GAAGsC,EAAE,OAAO,EAAE,MAAM,IAAIopC,EAAE,kEAAkEppC,EAAE,gBAAgB,EAAE,GAAG,GAAG,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,GAAG,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,GAAG,EAAE,CAAC,EAAE,SAAS,EAAE,MAAM,IAAIopC,EAAE,6GAA6G,EAAE,GAAGlpC,GAAG,OAAOA,EAAEwsC,GAAG,GAAGxsC,IAAI,gBAAgBA,IAAI,gBAAgB,MAAM,IAAIkpC,EAAE,wBAAwBlpC,kEAAkE,EAAE,IAAIE,EAAE,OAAOF,IAAI,gBAAgBE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE1I,GAAGsI,EAAEI,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4jD,GAAG,cAAc1T,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,GAAG,OAAOA,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK8rC,GAAG,EAAE9rC,EAAE,WAAWA,EAAE,SAAS,KAAK,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,UAAU,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAAC,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE,CAACA,EAAE,QAAQA,EAAE,OAAO,CAAC,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,+EAA+ExoC,EAAE,QAAQ,eAAe,EAAE,IAAIV,EAAE,EAAE,GAAG,OAAOU,EAAE,QAAQ,CAAC,GAAG,SAASV,EAAE,CAACU,EAAE,QAAQ,CAAC,EAAEA,EAAE,QAAQ,CAAC,CAAC,EAAE,EAAE,CAACA,EAAE,QAAQ,CAAC,EAAEA,EAAE,QAAQ,CAAC,CAAC,MAAM,CAAC,GAAGA,EAAE,QAAQA,EAAE,QAAQA,EAAE,QAAQ,CAAC,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,sFAAsFxoC,EAAE,QAAQ,CAAC,EAAE,eAAe,EAAE,GAAGV,EAAEU,EAAE,QAAQ,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAE,SAAS,EAAE,MAAM,IAAIwoC,EAAE,qFAAqFxoC,EAAE,QAAQ,CAAC,EAAE,eAAe,EAAE,EAAEA,EAAE,QAAQ,CAAC,CAAC,CAAC,KAAK,QAAQ,CAACV,EAAE,CAAC,CAAC,CAAC,KAAK,UAAU,CAAC,IAAI5a,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,EAAE,OAAO,KAAK,aAAa,iBAAiBU,EAAE,CAAC,GAAG,MAAMA,EAAE,CAAC,GAAG,EAAEV,EAAEU,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAEV,EAAE,KAAKU,EAAE,CAAC,GAAG,MAAMA,EAAE,CAAC,GAAG,EAAE,EAAEA,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,EAAE,KAAK,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEV,EAAE,CAAC,IAAIU,EAAE,CAAC,GAAG,MAAMA,EAAE,CAAC,GAAG,EAAEV,EAAEU,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAEV,EAAE,KAAKU,EAAE,CAAC,GAAG,MAAMA,EAAE,CAAC,GAAG,EAAE,EAAEA,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,EAAE,KAAK,CAACA,EAAE,CAAC,EAAEV,EAAE,EAAEU,EAAE,CAAC,CAAC,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAIqmD,GAAGnU,GAAGhvC,CAAC,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEojD,GAAG,UAAU,gBAAgBtpD,GAAE,cAAcspD,EAAE,EAAE,SAASC,GAAGjkD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC6tC,GAAGlrC,CAAC,EAAEqrC,GAAG,CAAC,EAAED,GAAGrrC,CAAC,EAAEF,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGE,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAEqsC,GAAG,GAAG,GAAG,OAAO,EAAE,OAAO1sC,EAAEkgD,GAAGlgD,EAAEK,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAEtK,GAAGkK,EAAE,EAAEE,EAAE6B,CAAC,EAAE,EAAElU,GAAGmS,EAAE,EAAEE,EAAE6B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,SAASmmD,GAAGlkD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC6tC,GAAGlrC,CAAC,EAAEqrC,GAAG,CAAC,EAAED,GAAGrrC,CAAC,EAAEF,GAAG,OAAOA,EAAE,CAAC,EAAE,EAAE,CAAC,GAAGE,GAAG,OAAOA,EAAE,SAASC,GAAG,OAAOA,EAAEqsC,GAAG,GAAG,GAAG,OAAO,EAAE,OAAO1sC,EAAEmgD,GAAGngD,EAAEK,CAAC,EAAE,IAAI,EAAE0B,EAAE3B,IAAI,OAAO,OAAO,QAAQ,OAAO,IAAI,MAAM,EAAErK,GAAGiK,EAAE,EAAEE,EAAE6B,CAAC,EAAE,EAAEjU,GAAGkS,EAAE,EAAEE,EAAE6B,CAAC,EAAE1B,IAAI,kBAAkB,EAAEtC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,IAAIomD,GAAG,cAAc7T,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,GAAG,MAAMA,CAAC,EAAE,OAAOA,EAAE,UAAU,SAAS,KAAK,SAAS,CAACA,EAAE,QAAQ,UAAU,MAAM,QAAQA,EAAE,QAAQ,GAAGA,EAAE,SAAS,SAAS,GAAG,OAAOA,EAAE,SAAS,CAAC,GAAG,SAAS,KAAK,SAASA,EAAE,aAAc,OAAM,IAAIwoC,EAAE,qGAAqG,KAAK,UAAUxoC,EAAE,QAAQ,GAAG,EAAE,GAAG6pC,GAAG,KAAK,SAAS,UAAU,EAAE7pC,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,OAAOA,EAAE,SAAS,SAAS,KAAK,QAAQ,CAACA,EAAE,OAAO,UAAU,MAAM,QAAQA,EAAE,OAAO,GAAGA,EAAE,QAAQ,SAAS,GAAG,OAAOA,EAAE,QAAQ,CAAC,GAAG,SAAS,KAAK,QAAQA,EAAE,YAAa,OAAM,IAAIwoC,EAAE,oGAAoG,KAAK,UAAUxoC,EAAE,OAAO,GAAG,EAAE6pC,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ6qC,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE8/C,GAAGp/C,EAAE,CAAC,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,MAAM,CAACA,EAAE,CAAC,EAAEV,EAAEU,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,KAAK,eAAekD,EAAEV,CAAC,EAAEU,EAAEgsC,GAAGgD,GAAGhvC,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBgvC,GAAGhvC,CAAC,EAAE,CAAC,KAAK,SAAS,CAAC,EAAE,CAAC,EAAE,CAAC,KAAK,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,QAAQ,cAAc,EAAE,OAAOrE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIqE,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,OAAO,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEwjD,GAAG,cAAcD,EAAE,CAAC,YAAYvjD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEuiD,GAAG,UAAU,eAAe1pD,GAAE,cAAc0pD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYvjD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAEwiD,GAAG,UAAU,mBAAmB3pD,GAAE,cAAc2pD,EAAE,EAAE,IAAIC,GAAG,cAAchU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wHAAwHxoC,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,OAAO,EAAE6pC,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,gBAAgBA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,OAAOV,EAAE8/C,GAAG9/C,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,EAAE8/C,GAAG,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,aAAa,gBAAgB,CAACp/C,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,CAACU,EAAE,CAAC,EAAEV,EAAE,EAAEU,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAK,KAAK,eAAekD,EAAEV,CAAC,EAAE,KAAK,gBAAgB0vC,GAAGhvC,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE2jD,GAAG,cAAcD,EAAE,CAAC,YAAY1jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE0iD,GAAG,UAAU,eAAe7pD,GAAE,cAAc6pD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY1jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE4jD,GAAGrjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE2iD,GAAG,UAAU,mBAAmB9pD,GAAE,cAAc8pD,EAAE,EAAE,IAAIC,GAAG,cAAcnU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAGA,EAAE,UAAU,OAAOA,EAAE,SAAS,CAAC,EAAE,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,SAAS,MAAM,QAAQA,EAAE,QAAQ,EAAEA,EAAE,SAAS,CAACA,EAAE,SAASA,EAAE,SAASA,EAAE,QAAQ,EAAEA,EAAE,SAAS,KAAK,KAAK,QAAQ,KAAK,iBAAiB,MAAM,QAAQA,EAAE,OAAO,EAAE,CAAC,GAAGA,EAAE,QAAQ,SAAS,EAAE,MAAM,IAAIwoC,EAAE,wHAAwHxoC,EAAE,QAAQ,SAAS,EAAE,KAAK,QAAQA,EAAE,OAAO,MAAM,KAAK,QAAQ,CAACA,EAAE,QAAQA,EAAE,QAAQA,EAAE,OAAO,EAAE6pC,GAAG,KAAK,SAAS,UAAU,EAAEA,GAAG,KAAK,QAAQ,SAAS,EAAE,KAAK,QAAQ7pC,EAAE,SAAS,KAAK,QAAQA,EAAE,QAAQ,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAEE,GAAG,KAAK,OAAO,EAAE,KAAK,UAAU,CAAC,IAAInmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,KAAK,aAAa,gBAAgBU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,aAAa,gBAAgBA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEP,EAAE,KAAK,aAAa,gBAAgBO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,OAAOV,EAAE8/C,GAAG9/C,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,EAAE8/C,GAAG,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE3/C,EAAE2/C,GAAG3/C,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,CAAC,EAAE,KAAK,aAAa,gBAAgB,CAACO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEV,EAAE,EAAEG,CAAC,EAAE,CAACO,EAAE,CAAC,EAAEV,EAAE,EAAEG,EAAEO,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAK,KAAK,eAAekD,EAAEV,CAAC,EAAE,KAAK,gBAAgB0vC,GAAGhvC,CAAC,EAAE,KAAK,SAAS,KAAK,QAAQ,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,SAAS,KAAK,SAAS,QAAQ,KAAK,QAAQ,QAAQ,KAAK,QAAQ,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAE8jD,GAAG,cAAcD,EAAE,CAAC,YAAY7jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE6jD,GAAGtjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE6iD,GAAG,UAAU,eAAehqD,GAAE,cAAcgqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAY7jD,EAAE,CAAC,MAAMA,CAAC,CAAC,CAAC,gBAAgBA,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,OAAO0pC,GAAG1pC,CAAC,EAAE4pC,GAAGprC,CAAC,EAAE6jD,GAAGtjD,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,KAAK,CAAC,CAAC,EAAE8iD,GAAG,UAAU,mBAAmBjqD,GAAE,cAAciqD,EAAE,EAAE,IAAIC,GAAG,cAActU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAU,CAAC,IAAItb,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAAC,MAAM,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,MAAM,IAAImpC,EAAE,CAAC,EAAEwb,GAAG,cAAcD,EAAE,CAAC,YAAYhkD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO1K,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE2uD,GAAG,UAAU,yBAAyBnqD,GAAE,cAAcmqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,YAAYhkD,EAAE,CAAC,MAAMA,GAAG,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO/K,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEivD,GAAG,UAAU,qBAAqBpqD,GAAE,cAAcoqD,EAAE,EAAE,IAAIC,GAAG,cAAczU,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,WAAWA,EAAE,YAAY,KAAK,eAAeA,EAAE,WAAW2qC,GAAG,KAAK,UAAU,EAAE,KAAK,UAAU,CAAC,IAAIjmD,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBsb,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,aAAa,eAAe,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,MAAM,IAAImpC,EAAE,CAAC,WAAW,CAAC,IAAIzoC,EAAE,CAAC,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,EAAEokD,GAAG,cAAcD,EAAE,CAAC,KAAKnkD,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,aAAa,eAAe1K,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE8uD,GAAG,UAAU,yBAAyBtqD,GAAE,cAAcsqD,EAAE,EAAE,IAAIC,GAAG,cAAcF,EAAE,CAAC,KAAKnkD,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAE,OAAO,KAAK,aAAa,eAAe/K,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEA,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEovD,GAAG,UAAU,qBAAqBvqD,GAAE,cAAcuqD,EAAE,EAAE,IAAIC,GAAG,cAAc5U,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,KAAK,CAAC,MAAMA,EAAE,CAAC,KAAK,MAAM,EAAE,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,KAAK,MAAM,UAAU,EAAE,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,OAAO,OAAO,KAAK,MAAM,UAAUA,EAAE,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,MAAM,gBAAgB,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,MAAM,mBAAmB,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,MAAM,MAAM,CAAC,YAAY,CAAC,OAAO,KAAK,MAAM,WAAW,CAAC,CAAC,WAAWA,EAAE,CAAC,KAAK,MAAM,WAAWA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,CAAC,UAAU,KAAK,MAAM,aAAa,EAAE,OAAO,KAAK,MAAM,UAAU,CAAC,CAAC,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,6BAA6BA,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,OAAO,MAAM,KAAK,MAAM,6BAA6BA,CAAC,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,EAAE,CAAC,EAAE,CAAC,IAAIG,EAAEH,EAAE,MAAM2B,EAAE42C,GAAGp4C,EAAE,CAAC,EAAE,OAAOH,EAAE,MAAM,IAAI4B,EAAE,CAAC,MAAMD,CAAC,EAAE,OAAO,OAAO,OAAOC,EAAE5B,CAAC,EAAE,IAAIU,EAAEkB,CAAC,CAAC,CAAC,EAAEqjD,GAAG,cAAcD,EAAE,CAAC,YAAYtkD,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAE,CAAC,MAAMA,EAAE,CAAC,GAAGA,EAAEivC,GAAGjvC,CAAC,EAAEA,EAAE,OAAO,EAAE,MAAM,IAAIwoC,EAAE,gFAAgF,KAAK,UAAUxoC,CAAC,GAAG,EAAE,KAAK,UAAU,CAAC,CAAC,MAAMA,CAAC,CAAC,EAAE,IAAIV,EAAE,CAACU,EAAE,CAAC,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,KAAK,MAAM,QAAQ,KAAK,MAAM,MAAMV,CAAC,EAAE,KAAK,MAAM,MAAM,IAAI,MAAM,MAAMU,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAE,CAACU,EAAE,CAAC,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,CAAC,EAAE,EAAE,KAAK,MAAM,mBAAmBV,CAAC,EAAEG,EAAEO,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEP,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEygD,GAAG,CAACv/C,EAAE,IAAI,CAAC8tC,GAAG,KAAK,MAAM,KAAK9tC,EAAE5B,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEU,EAAE,CAAC,EAAE,GAAG,KAAK,KAAK,GAAG,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEukD,GAAG,UAAU,kBAAkBzqD,GAAE,cAAcyqD,EAAE,EAAE,SAASC,GAAGplD,EAAE,CAACuqC,GAAGc,GAAG,yBAAyBrrC,CAAC,CAAC,CAAC,IAAIqlD,GAAG,SAASC,GAAG,cAAcJ,EAAE,CAAC,YAAYtkD,EAAE,CAAC,MAAMA,CAAC,EAAE,IAAIV,EAAEU,EAAE,MAAM,UAAU,EAAE,EAAE,CAAC,EAAE,EAAE,UAAUA,EAAE,MAAM,aAAa,EAAE,EAAE,OAAOV,EAAE,KAAK,aAAau4C,GAAG,CAAC,EAAEv4C,EAAE,YAAYA,EAAE,cAAc,GAAG,IAAIG,EAAE,CAAC,EAAE,GAAGA,EAAE,UAAUO,EAAE,MAAM,aAAa,EAAEP,EAAE,OAAOH,EAAE,KAAK,cAAcu4C,GAAGp4C,CAAC,EAAE,KAAK,aAAa,KAAK,WAAW,KAAK,aAAa,KAAK,KAAK,cAAc,KAAK,YAAY,KAAK,cAAc,KAAK,KAAK,UAAUO,EAAE,YAAY,OAAOykD,GAAGzkD,EAAE,UAAUwkD,GAAG,KAAK,SAAS,EAAExkD,EAAE,QAAQ,MAAM,IAAIyoC,GAAG,iEAAiE,EAAE,KAAK,UAAUzoC,EAAE,MAAM,SAAS,KAAK,gBAAgBA,EAAE,MAAM,gBAAgB,KAAK,YAAYA,EAAE,MAAM,YAAY,KAAK,gBAAgB,GAAG,KAAK,WAAW,GAAG,KAAK,UAAUA,EAAE,MAAM,UAAU,KAAK,aAAa,IAAI,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,KAAK,WAAWA,EAAE,KAAK,cAAc,OAAO,KAAK,aAAa,UAAUA,GAAG,KAAK,eAAe,OAAO,KAAK,cAAc,UAAUA,EAAE,CAAC,YAAY,CAAC,OAAO,KAAK,aAAa,WAAW,EAAE,OAAO,KAAK,cAAc,WAAW,CAAC,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,EAAE,KAAK,MAAMV,EAAE,CAAC,EAAE,KAAK,aAAa,WAAWU,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,KAAK,cAAc,WAAWA,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,mBAAmBU,CAAC,EAAE,MAAM,QAAQV,CAAC,GAAG,MAAM,QAAQA,EAAE,CAAC,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAEA,EAAE,IAAI,EAAEG,EAAEwB,EAAE,OAAO,KAAK,cAAcA,EAAE3B,EAAE,MAAM,CAAC,GAAG,EAAEA,EAAE,CAAC,EAAE,EAAE,EAAE,KAAK,YAAY,UAAU,EAAE,EAAE,OAAO,CAAC,GAAG,EAAEG,EAAE,CAAC,CAAC,GAAG,KAAK,WAAW,KAAKA,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,KAAK,WAAW,KAAKA,EAAE,OAAOwB,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,EAAE,MAAM,CAAC,EAAE8nC,GAAGtpC,CAAC,CAAC,CAAC,MAAMO,EAAEV,EAAE,CAAC,IAAI,EAAEA,GAAG,KAAK,KAAKA,EAAE,aAAaG,EAAEH,GAAG,KAAK,KAAKA,EAAE,UAAUA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAI2B,EAAEu/C,GAAGxgD,EAAE,EAAEP,EAAE,KAAK,YAAY,EAAE,GAAGO,EAAEiB,EAAE,OAAO,EAAEA,EAAE,aAAaxB,EAAEwB,EAAE,UAAU,MAAM,QAAQjB,CAAC,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAEA,EAAE,CAAC,IAAI,GAAG,MAAM,EAAE,SAAS,IAAIP,GAAG,KAAK,OAAO,MAAM,MAAMO,EAAEV,CAAC,EAAE,IAAI4B,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI,EAAE,EAAE,OAAO,GAAG,EAAE,EAAE,EAAE,MAAM,IAAIqnC,EAAE,+HAA+H,EAAElpC,EAAE,aAAa,EAAE4B,EAAE,KAAK,GAAG,CAAC,EAAE,IAAIY,EAAE,EAAE,IAAI,GAAG,IAAIpd,GAAG,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,KAAK,aAAa,UAAUod,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,KAAK,cAAc,UAAUA,EAAE,MAAM,EAAE,CAAC,EAAEX,EAAE,KAAK,GAAGW,CAAC,CAAC,CAAC,GAAGrC,GAAG,KAAK,MAAM,IAAIgpC,GAAG,uEAAuE,EAAE,IAAIrnC,EAAEF,EAAE,CAAC,YAAY/V,GAAG,QAAQ,KAAK+V,EAAE,GAAG,aAAa/V,KAAKiW,EAAE,MAAM,IAAIonC,EAAE,8GAA8G,EAAE,GAAGpnC,EAAE,CAAC,IAAI,EAAE,CAACpB,CAAC,EAAE,OAAOkB,CAAC,EAAEY,EAAE,KAAK,UAAU,OAAOX,CAAC,EAAE,EAAE,KAAK,UAAU,KAAK,UAAUW,EAAE,IAAIE,EAAE,MAAM,MAAM,EAAE1C,CAAC,EAAE,OAAO,KAAK,UAAU,EAAE0C,CAAC,KAAM,QAAO,MAAM,MAAMhC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEwC,EAAE,aAAaG,EAAEwB,EAAE,GAAG,GAAG,KAAKxB,EAAE,KAAK,aAAa,KAAKO,EAAEV,CAAC,EAAE2B,EAAE,KAAK,cAAc,KAAKjB,EAAEV,CAAC,MAAM,CAAC,IAAI8B,EAAE,EAAE,MAAM,EAAE,EAAE,OAAO,CAAC,EAAE,EAAE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE3B,EAAE,KAAK,aAAa,KAAKO,EAAE,OAAO,OAAOV,EAAE,CAAC,aAAa8B,CAAC,CAAC,CAAC,EAAEH,EAAE,KAAK,cAAc,KAAKjB,EAAE,OAAO,OAAOV,EAAE,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4B,EAAE,KAAK,cAAc,MAAM,QAAQzB,CAAC,IAAIyB,EAAEzB,EAAE,MAAM,CAAC,EAAE,OAAOwB,EAAE,MAAM,CAAC,CAAC,GAAGxB,EAAEA,EAAE,CAAC,EAAEwB,EAAEA,EAAE,CAAC,GAAG,KAAK,kBAAkBA,EAAElI,GAAGkI,EAAE,CAAC,GAAG,IAAIE,EAAE,OAAO,KAAK,YAAY,SAASA,EAAEqrC,GAAG,CAAC/sC,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAE7U,EAAEmT,EAAEwB,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEjL,EAAE,GAAG5J,EAAEmT,EAAEwB,CAAC,CAAC,EAAE,KAAK,YAAY,MAAME,EAAEjL,EAAEuJ,EAAEwB,CAAC,EAAE,KAAK,WAAW,OAAOE,EAAE,CAAC1B,EAAEwB,CAAC,GAAG,KAAK,YAAY,KAAK,WAAW,KAAKE,EAAE,OAAOD,CAAC,EAAE,CAACC,CAAC,EAAE,OAAOD,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,YAAYnB,EAAE,CAAC,KAAK,aAAa,YAAY,EAAE,KAAK,cAAc,YAAY,CAAC,CAAC,MAAMA,EAAE,CAACirC,GAAG,KAAK,aAAa,KAAK,IAAI,CAAC,KAAK,aAAa,MAAMjrC,CAAC,CAAC,CAAC,EAAEirC,GAAG,KAAK,cAAc,KAAK,IAAI,CAAC,KAAK,cAAc,MAAMjrC,CAAC,CAAC,CAAC,EAAE,KAAK,MAAM,EAAE,CAAC,YAAYA,EAAEV,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAEA,EAAE,CAAC,GAAG,IAAI,EAAE,GAAG,KAAK,gBAAgB,KAAK,WAAW,KAAK,EAAE,CAACA,EAAEA,CAAC,EAAE,EAAEA,EAAE,KAAK,WAAW,KAAK,EAAE,CAAC,KAAK,IAAI,EAAE,EAAE,KAAK,KAAK,YAAY,CAAC,IAAI2B,EAAE,KAAK,aAAa,OAAO,IAAIC,GAAG,IAAI,EAAE,OAAO,MAAM,QAAQ,CAAC,EAAE,EAAE,OAAOD,CAAC,EAAE,OAAOA,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,CAAC,EAAE,OAAOA,CAAC,CAAC,KAAM,QAAO,CAAC,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,aAAa,iBAAiB,OAAO,KAAK,cAAc,gBAAgB,CAAC,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,aAAa,oBAAoB,OAAO,KAAK,cAAc,mBAAmB,CAAC,CAAC,6BAA6BjB,EAAE,CAAC,MAAM,6BAA6BA,CAAC,EAAE,KAAK,cAAc,MAAM,KAAK,aAAa,6BAA6BA,CAAC,EAAE,KAAK,eAAe,MAAM,KAAK,cAAc,6BAA6BA,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,SAAS,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,OAAO,WAAWA,EAAEV,EAAE,CAAC,IAAI,EAAEu4C,GAAGv4C,EAAE,KAAK,EAAE,GAAG,OAAOA,EAAE,MAAMA,EAAE,cAAc,KAAK,MAAM,IAAImpC,GAAG,0FAA0F,EAAE,IAAIhpC,EAAEH,EAAE,OAAOG,EAAE,MAAM,EAAE,IAAIO,EAAEP,CAAC,CAAC,CAAC,EAAEilD,GAAG,UAAU,gBAAgB5qD,GAAE,cAAc4qD,EAAE,EAAE,IAAIC,GAAG,cAAcjV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,MAAMA,EAAE,MAAMA,EAAE,OAAO,KAAK,OAAOA,EAAE,OAAO,KAAK,OAAO,CAAC,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,MAAM,KAAK,MAAM,OAAO,KAAK,MAAM,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,KAAKkD,EAAEgvC,GAAGhvC,CAAC,EAAEA,EAAE,QAAQ,YAAYA,EAAE+rC,GAAG/rC,EAAE,SAAS,GAAG1T,EAAE4J,EAAE8J,EAAE,KAAK,KAAK,EAAE,KAAK,MAAM,EAAE,CAAC,CAAC,EAAE2kD,GAAG,UAAU,YAAY7qD,GAAE,cAAc6qD,EAAE,EAAE,GAAG,CAAC,eAAeC,GAAG,cAAcC,EAAE,EAAE9xD,GAAG+xD,GAAG,cAAcpV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,OAAOA,EAAE,OAAO,KAAK,MAAMA,EAAE,KAAK,CAAC,WAAWA,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,CAAC,OAAOtE,EAAE,IAAI,CAAC,IAAI,EAAEgF,EAAE,GAAG,EAAExC,EAAE4B,EAAEc,EAAE,EAAEb,EAAEc,GAAGxC,EAAEH,GAAG4B,EAAEgB,GAAGjB,EAAE,GAAGE,EAAEiC,EAAE,CAAC,EAAEpB,EAAEC,EAAEC,CAAC,EAAEmB,EAAE,CAAC,EAAErD,EAAE,OAAO,GAAG8B,EAAE,GAAG,EAAElG,GAAG,CAACoE,CAAC,CAAC,GAAG,EAAEA,EAAE,QAAQ+D,EAAE,EAAEA,EAAE,EAAE,MAAM,CAAC,EAAEA,IAAIV,EAAE,KAAKD,CAAC,EAAE,IAAIsD,EAAErK,GAAGgH,EAAE,CAACA,EAAE,OAAO,CAAC,CAAC,EAAEa,EAAEjM,GAAG,EAAEoL,EAAE,OAAO,EAAE,OAAO,EAAES,EAAE+gD,GAAG,EAAEn+C,EAAExC,EAAE,CAACzE,EAAEwB,CAAC,EAAE,SAAS,EAAE,OAAS8qC,GAAFjqC,EAAKktC,GAAGvxC,GAAGqG,CAAC,CAAC,EAAQA,EAAN1C,CAAC,CAAS,CAAC,CAAC,CAAC,OAAOpB,EAAEV,EAAE,EAAEG,EAAE,CAAC,OAAO3C,EAAE,IAAI,CAAC,IAAImE,EAAE2jD,GAAG5kD,EAAE,CAACV,EAAE,CAAC,CAAC,EAAE,OAAOysC,GAAG9qC,EAAExB,CAAC,CAAC,CAAC,CAAC,CAAC,KAAKO,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAEkyC,GAAGhvC,CAAC,EAAEP,EAAE,EAAE,MAAMwB,EAAE,EAAE,MAAMC,EAAED,EAAEA,EAAE,OAAO,CAAC,EAAEE,EAAEF,EAAEA,EAAE,OAAO,CAAC,EAAEG,EAAE,EAAEF,IAAI,KAAK,SAASE,EAAE,KAAK,OAAOF,EAAE,KAAK,QAAQ,CAAC,GAAG,IAAI,EAAE,EAAE,OAAOC,IAAI,KAAK,QAAQ,EAAE,KAAK,OAAOA,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,IAAI,EAAE,IAAIC,GAAG,GAAG,GAAG,EAAE,KAAK,WAAW,EAAEA,EAAE,EAAE,KAAK,OAAO,KAAK,MAAMF,EAAEC,EAAE1B,CAAC,EAAE,KAAK,OAAOO,EAAE,KAAK,OAAO,KAAK,MAAMP,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIO,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,KAAK,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAO,EAAE,EAAEA,EAAE,OAAO,EAAE,OAAOA,EAAEV,CAAC,EAAE,KAAK,OAAOU,EAAE,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE8kD,GAAG,UAAU,aAAahrD,GAAE,cAAcgrD,EAAE,EAAE,SAASC,GAAG3lD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEuvC,GAAG5vC,CAAC,EAAE,GAAGK,EAAE,QAAQ,UAAUA,EAAEssC,GAAGtsC,EAAE,OAAO,GAAG,IAAI,MAAM,OAAOA,EAAE,IAAI,EAAEA,EAAE,MAAM,GAAGA,EAAE,OAAO,IAAIA,EAAEpO,GAAGoO,EAAE,EAAE,GAAG,IAAI,UAAUA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,IAAI,IAAIA,EAAEpO,GAAGoO,EAAE,EAAE,GAAGA,EAAE,KAAK,EAAE,MAAM,IAAI+oC,EAAE,4EAA4E,qBAAqB,uCAAuC/oC,EAAE,OAAO,EAAE,IAAI,EAAE,CAAC,WAAW,QAAQ,EAAE,SAAS,CAAC,EAAE0B,EAAE1B,EAAE2B,EAAE,GAAG,OAAO5B,GAAG,aAAa,IAAI,QAAQ4B,EAAEzR,GAAGwR,EAAE3B,EAAEF,EAAE,CAAC,EAAE8B,EAAEzR,GAAGwR,EAAE,CAAC,EAAE7B,EAAE,CAAC,EAAE,IAAI,QAAQ,OAAO8B,EAAE,GAAG5B,EAAE,OAAOtJ,EAAEkL,EAAE5B,CAAC,EAAE,MAAM,IAAIgpC,EAAE,uDAAuD,CAAC,CAAC,IAAIwc,GAAG,cAActV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,MAAMA,CAAC,EAAE,KAAK,UAAUA,EAAE,UAAUA,EAAE,WAAW,KAAK,WAAWA,EAAE,WAAW,KAAK,WAAW,UAAU,CAAC,WAAW,CAAC,IAAIA,EAAE,CAAC,UAAU,KAAK,UAAU,WAAW,KAAK,UAAU,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,mBAAmBA,EAAE,CAAC,OAAOA,EAAEivC,GAAGjvC,CAAC,EAAEA,GAAG,KAAK,CAAC,KAAK,SAAS,EAAE,KAAK,aAAa,UAAUA,EAAEA,EAAE,OAAO,CAAC,IAAI,GAAGA,EAAE,KAAK,KAAK,SAAS,EAAEA,IAAIA,EAAEA,EAAE,OAAO,CAAC,EAAE,KAAK,UAAUA,EAAE,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAACkD,EAAEgvC,GAAGhvC,CAAC,EAAEA,EAAE,QAAQ,UAAUA,EAAE+rC,GAAG/rC,EAAE,OAAO,GAAG,IAAI,EAAE,GAAG,OAAOV,EAAE,cAAc,YAAY,CAAC,GAAG,KAAK,aAAa,QAAQ,MAAM,IAAIkpC,EAAE;AAAA,sCACl9jMlpC,EAAE,cAAc,EAAE,EAAE0vC,GAAG1vC,EAAE,YAAY,CAAC,CAAC,IAAIG,EAAExK,GAAG+K,CAAC,EAAEiB,EAAEvL,GAAGsK,CAAC,EAAEkB,EAAEvO,GAAG,KAAK,UAAU8M,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE0B,EAAEvO,GAAGqO,EAAE,CAAC,EAAE,WAAW,EAAE,IAAI,CAAC,EAAE,GAAG,EAAEC,GAAGC,GAAG,MAAM,IAAIqnC,EAAE,uEAAuE,KAAK,WAAW,EAAE,OAAOuc,GAAG/kD,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,EAAEglD,GAAG,UAAU,mBAAmBlrD,GAAE,cAAckrD,EAAE,EAAE,IAAIC,GAAG,CAAC,WAAW,SAAS,EAAEC,GAAG,IAAI,IAAID,EAAE,EAAEE,GAAG,cAAczV,EAAE,CAAC,YAAY1vC,EAAE,CAAC,GAAG,MAAMA,CAAC,EAAE,KAAK,OAAOA,EAAE,OAAO,KAAK,MAAMA,EAAE,MAAMA,EAAE,cAAc,GAAGklD,GAAG,IAAIllD,EAAE,aAAa,EAAE,KAAK,cAAcA,EAAE,kBAAmB,OAAM,IAAIwoC,EAAE,oCAAoCxoC,EAAE,kCAAkC,OAAO,KAAK,cAAc,WAAW,KAAK,kBAAkB,QAAQA,EAAE,iBAAiB,CAAC,CAAC,mBAAmBA,EAAE,CAACA,EAAEivC,GAAGjvC,CAAC,EAAE,IAAIV,EAAEU,EAAE,CAAC,EAAE,MAAM,CAAC,KAAK,OAAO,KAAK,MAAMV,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAE,CAAC,OAAO,KAAK,OAAO,MAAM,KAAK,MAAM,cAAc,KAAK,cAAc,kBAAkB,KAAK,iBAAiB,EAAEV,EAAE,MAAM,UAAU,EAAE,OAAO,OAAO,OAAOU,EAAEV,CAAC,EAAEU,CAAC,CAAC,KAAKA,EAAEV,EAAE,CAAC,OAAOxC,EAAE,IAAI,CAAC,IAAI,EAAE,CAAC,KAAK,OAAO,KAAK,KAAK,EAAE,GAAG,KAAK,gBAAgB,WAAW,OAAO/J,GAAG,eAAeiN,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,GAAG,KAAK,gBAAgB,UAAU,OAAOjN,GAAG,sBAAsBiN,EAAE,EAAE,CAAC,KAAK,iBAAiB,EAAE,MAAM,IAAI,MAAM,oBAAoB,KAAK,0BAA0B,CAAC,GAAGklD,EAAE,iBAAiB,CAAC,CAAC,CAAC,CAAC,EAAEC,GAAG,UAAU,WAAWrrD,GAAE,cAAcqrD,EAAE,EAAE,SAAS/P,GAAGh2C,EAAE,CAAC,OAAO,IAAI0wC,GAAG1wC,CAAC,CAAC,CAAC,SAASm1C,GAAGn1C,EAAE,CAAC,OAAO,IAAI4/C,GAAG5/C,CAAC,CAAC,CAAC,SAASg3C,GAAGh3C,EAAE,CAAC,OAAO,IAAIy/C,GAAGz/C,CAAC,CAAC,CAAC,SAASk2C,GAAGl2C,EAAE,CAAC,OAAO,IAAI0/C,GAAG1/C,CAAC,CAAC,CAAC,SAAS+2C,GAAG/2C,EAAE,CAAC,OAAO,IAAI2/C,GAAG3/C,CAAC,CAAC,CAAC,SAASy3C,GAAGz3C,EAAE,CAAC,OAAO,IAAI8/C,GAAG9/C,CAAC,CAAC,CAAC,SAAS43C,GAAG53C,EAAE,CAAC,OAAO,IAAI6/C,GAAG7/C,CAAC,CAAC,CAAC,SAASu0C,GAAGv0C,EAAE,CAAC,OAAO,IAAI+gD,GAAG/gD,CAAC,CAAC,CAAC,SAASw0C,GAAGx0C,EAAE,CAAC,OAAO,IAAIygD,GAAGzgD,CAAC,CAAC,CAAC,SAASy0C,GAAGz0C,EAAE,CAAC,OAAO,IAAI2gD,GAAG3gD,CAAC,CAAC,CAAC,SAAS00C,GAAG10C,EAAE,CAAC,OAAO,IAAI0gD,GAAG1gD,CAAC,CAAC,CAAC,SAAS20C,GAAG30C,EAAE,CAAC,OAAO,IAAI4gD,GAAG5gD,CAAC,CAAC,CAAC,SAASs3C,GAAGt3C,EAAE,CAAC,OAAO,IAAI8gD,GAAG9gD,CAAC,CAAC,CAAC,SAAS80C,GAAG90C,EAAE,CAAC,OAAO,IAAIghD,GAAGhhD,CAAC,CAAC,CAAC,SAAS83C,GAAG93C,EAAE,CAAC,OAAO,IAAIihD,GAAGjhD,CAAC,CAAC,CAAC,SAASg1C,GAAGh1C,EAAE,CAAC,OAAO,IAAImhD,GAAGnhD,CAAC,CAAC,CAAC,SAASqzC,GAAGrzC,EAAE,CAAC,OAAO,IAAIsiD,GAAGtiD,CAAC,CAAC,CAAC,SAAS+0C,GAAG/0C,EAAE,CAAC,OAAO,IAAIoiD,GAAGpiD,CAAC,CAAC,CAAC,SAASk1C,GAAGl1C,EAAE,CAAC,OAAO,IAAIkiD,GAAGliD,CAAC,CAAC,CAAC,SAAS03C,GAAG13C,EAAE,CAAC,OAAO,IAAImiD,GAAGniD,CAAC,CAAC,CAAC,SAASq1C,GAAGr1C,EAAE,CAAC,OAAO,IAAIqiD,GAAGriD,CAAC,CAAC,CAAC,SAASi3C,GAAGj3C,EAAE,CAAC,OAAO,IAAIuiD,GAAGviD,CAAC,CAAC,CAAC,SAASm3C,GAAGn3C,EAAE,CAAC,OAAO,IAAIwiD,GAAGxiD,CAAC,CAAC,CAAC,SAAS82C,GAAG92C,EAAE,CAAC,OAAO,IAAIyiD,GAAGziD,CAAC,CAAC,CAAC,SAASo1C,GAAGp1C,EAAE,CAAC,OAAO,IAAI2iD,GAAG3iD,CAAC,CAAC,CAAC,SAASszC,GAAGtzC,EAAE,CAAC,OAAO,IAAI6iD,GAAG7iD,CAAC,CAAC,CAAC,SAASwzC,GAAGxzC,EAAE,CAAC,OAAO,IAAI+iD,GAAG/iD,CAAC,CAAC,CAAC,SAASs0C,GAAGt0C,EAAE,CAAC,OAAO,IAAIkjD,GAAGljD,CAAC,CAAC,CAAC,SAAS22C,GAAG32C,EAAE,CAAC,OAAO,IAAIgjD,GAAGhjD,CAAC,CAAC,CAAC,SAAS42C,GAAG52C,EAAE,CAAC,OAAO,IAAIijD,GAAGjjD,CAAC,CAAC,CAAC,SAAS62C,GAAG72C,EAAE,CAAC,OAAO,IAAI8iD,GAAG9iD,CAAC,CAAC,CAAC,SAASi1C,GAAGj1C,EAAE,CAAC,OAAO,IAAIqjD,GAAGrjD,CAAC,CAAC,CAAC,SAASk0C,GAAGl0C,EAAE,CAAC,OAAO,IAAI6jD,GAAG7jD,CAAC,CAAC,CAAC,SAASi2C,GAAGj2C,EAAE,CAAC,OAAO,IAAI8jD,GAAG9jD,CAAC,CAAC,CAAC,SAAS+3C,GAAG/3C,EAAE,CAAC,OAAO,IAAIgkD,GAAGhkD,CAAC,CAAC,CAAC,SAASyzC,GAAGzzC,EAAE,CAAC,OAAO,IAAIqkD,GAAGrkD,CAAC,CAAC,CAAC,SAAS4zC,GAAG5zC,EAAE,CAAC,OAAOyzC,GAAGzzC,CAAC,CAAC,CAAC,SAAS+zC,GAAG/zC,EAAE,CAAC,OAAOyzC,GAAGzzC,CAAC,CAAC,CAAC,SAAS0zC,GAAG1zC,EAAE,CAAC,OAAO,IAAIwkD,GAAGxkD,CAAC,CAAC,CAAC,SAAS6zC,GAAG7zC,EAAE,CAAC,OAAO0zC,GAAG1zC,CAAC,CAAC,CAAC,SAASg0C,GAAGh0C,EAAE,CAAC,OAAO0zC,GAAG1zC,CAAC,CAAC,CAAC,SAAS2zC,GAAG3zC,EAAE,CAAC,OAAO,IAAI2kD,GAAG3kD,CAAC,CAAC,CAAC,SAAS8zC,GAAG9zC,EAAE,CAAC,OAAO2zC,GAAG3zC,CAAC,CAAC,CAAC,SAASi0C,GAAGj0C,EAAE,CAAC,OAAO2zC,GAAG3zC,CAAC,CAAC,CAAC,SAASw1C,GAAGx1C,EAAE,CAAC,OAAO,IAAI6kD,GAAG7kD,CAAC,CAAC,CAAC,SAASy1C,GAAGz1C,EAAE,CAAC,OAAO,IAAIglD,GAAGhlD,CAAC,CAAC,CAAC,SAAS41C,GAAG51C,EAAE,CAAC,OAAO,IAAI8kD,GAAG9kD,CAAC,CAAC,CAAC,SAAS61C,GAAG71C,EAAE,CAAC,OAAO,IAAIilD,GAAGjlD,CAAC,CAAC,CAAC,SAASw2C,GAAGx2C,EAAE,CAAC,OAAO,IAAIokD,GAAGpkD,CAAC,CAAC,CAAC,SAASy2C,GAAGz2C,EAAE,CAAC,OAAO,IAAIukD,GAAGvkD,CAAC,CAAC,CAAC,SAAS02C,GAAG12C,EAAE,CAAC,OAAO,IAAI0kD,GAAG1kD,CAAC,CAAC,CAAC,SAAS81C,GAAG91C,EAAE,CAAC,OAAO,IAAI2hD,GAAG3hD,CAAC,CAAC,CAAC,SAAS+1C,GAAG/1C,EAAE,CAAC,OAAO,IAAI0hD,GAAG1hD,CAAC,CAAC,CAAC,SAASm2C,GAAGn2C,EAAE,CAAC,OAAO,IAAI6hD,GAAG7hD,CAAC,CAAC,CAAC,SAASo2C,GAAGp2C,EAAE,CAAC,OAAO,IAAI4hD,GAAG5hD,CAAC,CAAC,CAAC,SAASu3C,GAAGv3C,EAAE,CAAC,OAAO,IAAIyhD,GAAGzhD,CAAC,CAAC,CAAC,SAASw3C,GAAGx3C,EAAE,CAAC,OAAO,IAAIuhD,GAAGvhD,CAAC,CAAC,CAAC,SAAS40C,GAAG50C,EAAE,CAAC,OAAO,IAAIiiD,GAAGjiD,CAAC,CAAC,CAAC,SAAS60C,GAAG70C,EAAE,CAAC,OAAO,IAAIgiD,GAAGhiD,CAAC,CAAC,CAAC,SAASq3C,GAAGr3C,EAAE,CAAC,OAAO,IAAIpX,GAAGoX,CAAC,CAAC,CAAC,SAAS23C,GAAG33C,EAAE,CAAC,OAAO,IAAIshD,GAAGthD,CAAC,CAAC,CAAC,SAASm0C,GAAGn0C,EAAE,CAAC,OAAO,IAAIslD,GAAGtlD,CAAC,CAAC,CAAC,SAAS63C,GAAG73C,EAAE,CAAC,OAAO,IAAImlD,GAAGnlD,CAAC,CAAC,CAAC,IAAI01C,GAAGE,GAAGD,GAAGE,GAAGS,GAAGE,GAAGD,GAAGE,GAAG,SAASlB,GAAGv1C,EAAE,CAAC,OAAO,IAAIsjD,GAAGtjD,CAAC,CAAC,CAAC,SAASs1C,GAAGt1C,EAAE,CAAC,OAAO,IAAIujD,GAAGvjD,CAAC,CAAC,CAAC,SAASuzC,GAAGvzC,EAAE,CAAC,OAAO,IAAIwjD,GAAGxjD,CAAC,CAAC,CAAC,SAASq2C,GAAGr2C,EAAE,CAAC,OAAO,IAAI0iD,GAAG1iD,CAAC,CAAC,CAAC,SAASk3C,GAAGl3C,EAAE,CAAC,OAAO,IAAIulD,GAAGvlD,CAAC,CAAC,CAAC,SAASq0C,GAAGr0C,EAAE,CAAC,OAAO,IAAI0lD,GAAG1lD,CAAC,CAAC,CAAC,SAASo3C,GAAGp3C,EAAE,CAAC,OAAO,IAAI+lD,GAAG/lD,CAAC,CAAC,CAAC,SAASo0C,GAAGp0C,EAAE,CAAC,OAAO,IAAI4lD,GAAG5lD,CAAC,CAAC,CAAC,IAAI3J,GAAG,CAAC,EAAE4J,GAAG5J,GAAG,CAAC,KAAK,IAAI2vD,GAAG,IAAI,IAAIC,GAAG,eAAe,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,4BAA4B,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,IAAI,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,0BAA0B,IAAIC,EAAE,CAAC,EAAE,SAASZ,GAAGlmD,EAAE,EAAE,CAAC,OAAO45C,GAAG55C,EAAE,CAAC,CAAC,CAAC,SAASmmD,GAAGnmD,EAAE,EAAE,CAAC,OAAOm6C,GAAGn6C,EAAE,CAAC,CAAC,CAAC,SAAS8mD,GAAG9mD,EAAE,EAAE,CAAC,OAAOo6C,GAAGp6C,EAAE,CAAC,CAAC,CAAC,SAASomD,GAAGpmD,EAAE,EAAE,CAAC,OAAO65C,GAAG75C,EAAE,CAAC,CAAC,CAAC,SAASqmD,GAAGrmD,EAAE,EAAE,CAAC,OAAO26C,GAAG36C,EAAE,CAAC,CAAC,CAAC,SAAS4mD,GAAG5mD,EAAE,EAAE,CAAC,OAAOi6C,GAAGj6C,EAAE,CAAC,CAAC,CAAC,SAAS6mD,GAAG7mD,EAAE,EAAE,CAAC,OAAOk6C,GAAGl6C,EAAE,CAAC,CAAC,CAAC,SAASsmD,GAAGtmD,EAAE,EAAE,CAAC,OAAOy5C,GAAGz5C,EAAE,CAAC,CAAC,CAAC,SAASwmD,GAAGxmD,EAAE,EAAE,CAAC,OAAO44C,GAAG54C,EAAE,CAAC,CAAC,CAAC,SAASymD,GAAGzmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAASgmD,GAAGhmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAASumD,GAAGvmD,EAAE,EAAE,CAAC,OAAO64C,GAAG74C,EAAE,CAAC,CAAC,CAAC,SAAS0mD,GAAG1mD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,SAASimD,GAAGjmD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,SAAS2mD,GAAG3mD,EAAE,EAAE,CAAC,OAAO24C,GAAG34C,EAAE,CAAC,CAAC,CAAC,IAAIrJ,GAAG,CAAC,EAAEsJ,GAAGtJ,GAAG,CAAC,cAAc,IAAIgnD,EAAE,CAAC,EAAE,IAAIrkD,GAAG,CAAC,EAAE2G,GAAG3G,GAAG,CAAC,GAAG,IAAIytD,GAAG,KAAK,IAAIC,GAAG,GAAG,IAAIC,EAAE,CAAC,EAAE,SAASD,GAAGhnD,EAAE,CAAC,OAAO,IAAIk/C,GAAGl/C,CAAC,CAAC,CAAC,SAAS+mD,GAAG/mD,EAAE,CAAC,OAAOm/C,GAAGn/C,CAAC,CAAC,CAAC,SAASinD,GAAGjnD,EAAE,CAAC,OAAOo/C,GAAGp/C,CAAC,CAAC,CAAC,IAAIte,GAAG,cAAc02D,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,MAAM,IAAI,CAAC,SAASx3C,EAAE,CAAC,GAAG,EAAEA,aAAa9a,IAAI,MAAM,IAAI,MAAM,uDAAuD,EAAE,KAAK,MAAM8a,CAAC,CAAC,EAAE,SAASsmD,GAAGlnD,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAASmnD,GAAGnnD,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,IAAIvc,GAAG,cAAc/B,EAAE,CAAC,YAAYkf,EAAE,CAAC,GAAG,MAAM,EAAEA,GAAG,OAAOA,EAAE,CAAC,GAAGA,EAAE,mBAAmB,MAAM,IAAIyoC,GAAG,oEAAoE,EAAE,KAAK,QAAQzoC,EAAE,SAAS,WAAW,KAAK,SAAS,KAAK,IAAIA,EAAE,UAAU,CAAC,EAAE,KAAK,SAASA,EAAE,UAAU,EAAE,KAAK,QAAQA,EAAE,SAAS,EAAE,KAAK,KAAKA,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,SAAS,CAAC,OAAO,MAAM,KAAK,EAAE,QAAQ,KAAK,IAAI,IAAI,KAAK,QAAQ,KAAK,uBAAuB,KAAK,gDAAgD,EAAE,KAAK,KAAK,QAAQ,KAAK,OAAO,MAAM,KAAK,YAAYsmD,GAAG,KAAK,OAAO,MAAM,KAAK,YAAYC,GAAG,KAAK,QAAQ,QAAQ,KAAK,IAAI,GAAG,KAAK,YAAYA,GAAG,KAAK,YAAYD,GAAG,KAAK,cAAcA,KAAK,KAAK,UAAU,GAAG,CAAC,MAAM,aAAatmD,EAAE,CAAC,KAAK,KAAK,EAAE,KAAK,aAAa,EAAE,KAAK,UAAU,KAAK,KAAK,KAAK,KAAK,SAAS,KAAK,KAAK,KAAK,cAAcsmD,GAAG,EAAE,EAAE,GAAG,CAAC,CAAC,MAAM,WAAWtmD,EAAEV,EAAE,CAAC,MAAM83C,GAAG93C,CAAC,EAAE,IAAI,EAAE,KAAK,gBAAgBA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,SAAS,KAAK,IAAI,GAAG,KAAK,KAAK,EAAE,KAAK,KAAK,IAAI,KAAK,OAAO,KAAK,MAAM,KAAK,WAAW,KAAK,aAAaU,EAAE,KAAK,MAAM,aAAa,KAAK,CAAC,MAAM,WAAWA,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,SAAS,QAAQ,IAAI,SAAS,KAAK,+BAA+B,CAAC,CAAC,gBAAgBA,EAAE,CAACA,GAAG,OAAOA,EAAE,CAAC,GAAG,IAAIV,EAAEU,EAAE,KAAK,OAAO,EAAE,OAAOV,GAAG,MAAM,QAAQ,KAAK,4BAA4B,KAAK,oDAAoD,OAAO,KAAKU,CAAC,GAAG,EAAEV,CAAC,CAAC,EAAE,SAASknD,GAAGpnD,EAAE,CAAC,OAAO,IAAIvc,GAAGuc,CAAC,CAAC,CAAC,IAAIlR,GAAG,CAAC,cAAcs4D,EAAE,EAAMC,GAAGz1D,EAAE,EAAEy1D,GAAG,aAAa,4BAA4B,IAAI,GAAGrnD,GAAG,CAACA,GAAG,QAAQ,KAAK,+OAA+O,CAAC,CAAC,EAAE,IAAIsnD,IAAI,SAAStnD,EAAE,CAACA,EAAEA,EAAE,WAAW,CAAC,EAAE,aAAaA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,UAAU,CAAC,EAAE,YAAYA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,QAAQ,CAAC,EAAE,UAAUA,EAAEA,EAAE,UAAU,CAAC,EAAE,YAAYA,EAAEA,EAAE,aAAa,CAAC,EAAE,eAAeA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,QAAQ,EAAE,EAAE,UAAUA,EAAEA,EAAE,SAAS,EAAE,EAAE,WAAWA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,YAAY,EAAE,EAAE,cAAcA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,WAAW,EAAE,EAAE,aAAaA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,cAAc,EAAE,EAAE,gBAAgBA,EAAEA,EAAE,QAAQ,EAAE,EAAE,UAAUA,EAAEA,EAAE,YAAY,EAAE,EAAE,cAAcA,EAAEA,EAAE,WAAW,EAAE,EAAE,aAAaA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,UAAU,EAAE,EAAE,YAAYA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,YAAY,GAAG,EAAE,cAAcA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,iBAAiB,GAAG,EAAE,mBAAmBA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,YAAY,GAAG,EAAE,cAAcA,EAAEA,EAAE,aAAa,GAAG,EAAE,eAAeA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,gBAAgB,GAAG,EAAE,kBAAkBA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,eAAe,GAAG,EAAE,iBAAiBA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,kBAAkB,GAAG,EAAE,oBAAoBA,EAAEA,EAAE,YAAY,GAAG,EAAE,cAAcA,EAAEA,EAAE,gBAAgB,GAAG,EAAE,kBAAkBA,EAAEA,EAAE,eAAe,GAAG,EAAE,iBAAiBA,EAAEA,EAAE,cAAc,GAAG,EAAE,gBAAgBA,EAAEA,EAAE,cAAc,GAAG,EAAE,eAAe,GAAGsnD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvnD,EAAE,CAAC,IAAI,GAAG,SAASE,EAAE,CAACA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,GAAG,CAAC,EAAE,KAAKA,EAAEA,EAAE,GAAG,CAAC,EAAE,IAAI,GAAG,EAAEF,EAAE,0BAA0BA,EAAE,wBAAwB,CAAC,EAAE,CAAC,GAAGunD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,CAAC,EAAE,SAASnuD,GAAG2G,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,SAASF,EAAE,SAAS,SAAS,OAAO,CAAC,EAAE,MAAM,CAAC,EAAE,eAAe,CAAC,EAAEwnD,GAAGxnD,CAAC,EAAEE,CAAC,CAAC,SAASunD,GAAGznD,EAAE,CAAC,OAAOwnD,GAAGxnD,CAAC,CAAC,CAAC,SAASrP,GAAGqP,EAAE,CAAC,OAAOwnD,GAAGxnD,CAAC,CAAC,CAAC,SAAS0nD,EAAE1nD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,YAAYL,CAAC,EAAE,GAAG,GAAG,EAAE,kBAAkB,OAAO,CAAC,IAAI+B,EAAE,EAAE,gBAAgBC,EAAE,EAAE,gBAAgB,EAAE,OAAO,EAAE,gBAAgB,OAAOD,EAAE,EAAE,EAAE,cAAc,GAAG,EAAE,OAAO,SAAS,OAAO4lD,GAAG,EAAE,WAAW,EAAE,eAAe,EAAEznD,EAAEE,EAAEC,CAAC,EAAE,GAAG,EAAE,OAAO,UAAU,OAAO,EAAE,WAAW,MAAM0B,EAAEC,CAAC,EAAE,IAAIY,GAAG+kD,GAAG/kD,EAAE1C,EAAEE,EAAEC,CAAC,CAAC,EAAE,IAAI4B,EAAE0lD,GAAG,EAAE,WAAW,MAAM5lD,CAAC,EAAE,CAAC,EAAE7B,EAAEE,EAAEC,CAAC,EAAEqC,EAAET,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,SAASS,EAAE,CAAC,EAAElE,EAAE,cAAcyD,EAAE,MAAMS,CAAC,CAAC,CAAC,IAAI,EAAE,EAAE,WAAW1C,CAAC,EAAE,OAAO,GAAG,EAAE,KAAK,CAAC,SAAS2nD,GAAG3nD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEunD,GAAG5nD,CAAC,EAAE,GAAGI,GAAG,KAAK,CAAC,IAAI2B,EAAE3B,EAAE,yBAAyBC,CAAC,EAAE,GAAG0B,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,KAAK6B,GAAG,CAAC,CAAC,EAAE8lD,GAAGxnD,EAAE0B,CAAC,CAAC,CAAC,EAAE,OAAO,IAAI,OAAO,EAAE8lD,GAAGxnD,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,SAASynD,GAAG9nD,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE2nD,GAAG7nD,EAAEE,EAAE,gBAAgB,CAAC,CAAC,CAAC,SAAS6nD,GAAG/nD,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEE,EAAEC,CAAC,EAAEunD,GAAG5nD,CAAC,EAAE,MAAM,CAAC6nD,GAAG3nD,EAAE,GAAG,EAAE,gBAAgB,EAAEE,EAAEC,CAAC,CAAC,CAAC,SAASwnD,GAAG7nD,EAAE,EAAE,CAAC,OAAO,EAAE,GAAGA,KAAK,IAAIA,CAAC,CAAC,SAAS4nD,GAAG5nD,EAAE,CAAC,IAAI,EAAEA,EAAE,MAAM,GAAG,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,CAACA,EAAE,EAAE,MAAM,EAAE,IAAIE,EAAE,EAAE,CAAC,EAAEE,EAAE,EAAE,SAAS,EAAE,EAAE,CAAC,EAAE,OAAOC,EAAE,OAAO,EAAE,EAAE,OAAO,CAAC,CAAC,EAAE,MAAM,CAACH,EAAEG,EAAED,CAAC,CAAC,CAAC,SAAS4nD,GAAGhoD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEsnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,GAAGE,IAAI,WAAW,CAACA,EAAEsnD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAED,EAAE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,EAAE,OAAOC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS6nD,GAAGjoD,EAAE,CAAC,OAAOA,EAAE,KAAKA,EAAE9Q,GAAG8Q,CAAC,CAAC,CAAC,IAAIkoD,GAAG,CAAC,EAAEjoD,GAAGioD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnoD,GAAGmoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,aAAa,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEroD,GAAGqoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,MAAM,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,MAAM,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,wBAAwB,KAAK,sBAAsB,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,KAAK,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,qBAAqB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvoD,GAAGuoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,yBAAyB,KAAK,sBAAsB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,KAAK,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,MAAM,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,gBAAgB,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,WAAW,aAAa,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,oBAAoB,KAAK,mBAAmB,KAAK,WAAW,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,cAAc,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,OAAO,QAAQ,KAAK,YAAY,KAAK,UAAU,EAAE,CAAC,OAAO,UAAU,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEzoD,GAAGyoD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,uBAAuB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,eAAe,KAAK,eAAe,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3oD,GAAG2oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,YAAY,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,yBAAyB,KAAK,qBAAqB,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7oD,GAAG6oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,iBAAiB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/oD,GAAG+oD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,yBAAyB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,QAAQ,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,OAAO,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,IAAI,KAAK,SAAS,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,UAAU,KAAK,SAAS,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,QAAQ,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,0BAA0B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjpD,GAAGipD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,aAAa,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,OAAO,wBAAwB,KAAK,qBAAqB,KAAK,MAAM,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,sBAAsB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,kBAAkB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnpD,GAAGmpD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,iBAAiB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,wBAAwB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,EAAE,CAAC,OAAO,qBAAqB,KAAK,mBAAmB,KAAK,MAAM,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,SAAS,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,OAAO,sBAAsB,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,6BAA6B,SAAS,QAAQ,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErpD,GAAGqpD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,QAAQ,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,UAAU,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEvpD,GAAGupD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,OAAO,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,WAAW,aAAa,CAAC,CAAC,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,kBAAkB,KAAK,iBAAiB,KAAK,SAAS,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,QAAQ,KAAK,aAAa,KAAK,OAAO,aAAa,EAAE,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,WAAW,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEzpD,GAAGypD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,SAAS,aAAa,IAAI,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,eAAe,KAAK,SAAS,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,QAAQ,KAAK,QAAQ,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,gBAAgB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE3pD,GAAG2pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,YAAY,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,MAAM,EAAE,CAAC,OAAO,UAAU,KAAK,UAAU,KAAK,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE7pD,GAAG6pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,GAAG,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,GAAG,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,IAAI,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,MAAM,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,cAAc,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,gBAAgB,KAAK,eAAe,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,mBAAmB,KAAK,iBAAiB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,IAAI,EAAE,KAAK,UAAU,KAAK,SAAS,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,OAAO,MAAM,KAAK,MAAM,KAAK,SAAS,aAAa,EAAE,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,kBAAkB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,SAAS,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,kBAAkB,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,WAAW,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,aAAa,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,mBAAmB,KAAK,kBAAkB,KAAK,OAAO,aAAa,GAAG,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAE/pD,GAAG+pD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,sBAAsB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,SAAS,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,eAAe,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,IAAI,KAAK,QAAQ,KAAK,QAAQ,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,oBAAoB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,mBAAmB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEjqD,GAAGiqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,MAAM,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,OAAO,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,WAAW,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,SAAS,aAAa,EAAE,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAEnqD,GAAGmqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,eAAe,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,YAAY,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,eAAe,KAAK,cAAc,KAAK,UAAU,EAAE,CAAC,OAAO,WAAW,KAAK,UAAU,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,YAAY,KAAK,WAAW,KAAK,QAAQ,EAAE,CAAC,OAAO,2BAA2B,KAAK,yBAAyB,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,SAAS,eAAe,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,YAAY,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,MAAM,CAAC,EAAE,QAAQ,CAAC,UAAU,SAAS,OAAO,CAAC,EAAE,CAAC,SAAS,yBAAyB,SAAS,SAAS,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,CAAC,EAAMC,GAAG,CAAC,EAAErqD,GAAGqqD,GAAG,CAAC,KAAK,IAAIC,EAAE,CAAC,EAAE,IAAIA,GAAG,CAAC,CAAC,SAAS,OAAO,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,SAAS,KAAK,QAAQ,aAAa,EAAE,EAAE,CAAC,OAAO,OAAO,KAAK,QAAQ,KAAK,OAAO,CAAC,CAAC,EAAE,CAAC,SAAS,aAAa,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,YAAY,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,KAAK,OAAO,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,MAAM,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,iBAAiB,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,QAAQ,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,gBAAgB,KAAK,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,UAAU,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,OAAO,iBAAiB,eAAe,KAAK,OAAO,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,WAAW,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,iBAAiB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,aAAa,KAAK,UAAU,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,CAAC,EAAE,CAAC,SAAS,eAAe,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,OAAO,aAAa,KAAK,YAAY,KAAK,QAAQ,EAAE,CAAC,OAAO,cAAc,KAAK,aAAa,KAAK,QAAQ,CAAC,CAAC,EAAE,CAAC,SAAS,cAAc,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,IAAI,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,QAAQ,KAAK,UAAU,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,CAAC,SAAS,gBAAgB,SAAS,iBAAiB,OAAO,CAAC,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,EAAE,CAAC,MAAM,EAAE,KAAK,KAAK,KAAK,QAAQ,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,EAAMC,GAAG,KAAK,CAAC,aAAa,CAAC,IAAI5pD,EAAE,CAACsnD,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,EAAE,EAAEpqD,EAAE,CAAC,EAAE,OAAO,GAAGU,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,EAAE,KAAK,UAAUV,EAAE,OAAO,CAAC,EAAEG,KAAK,EAAEA,EAAE,QAAQ,EAAEA,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,WAAW,UAAU,CAAC,OAAO,KAAK,YAAY,KAAK,UAAU,IAAI,KAAK,CAAC,eAAeO,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAEU,EAAE,KAAKP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEC,EAAE,EAAE,OAAO,CAACiC,EAAEC,KAAKD,EAAEC,EAAE,IAAI,EAAE,KAAK,QAAQA,CAAC,EAAEA,EAAE,GAAG,WAAW,aAAa,EAAE5D,EAAE,KAAK2D,EAAEC,EAAE,IAAI,CAAC,EAAEA,EAAE,KAAK,QAAQpC,EAAE,KAAKmC,EAAEC,EAAE,IAAI,CAAC,GAAGA,EAAE,OAAO,MAAMA,EAAE,MAAM,SAAS,IAAInC,EAAE,KAAKkC,EAAEC,EAAE,IAAI,CAAC,EAAED,GAAG,CAAC,CAAC,EAAEhC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,EAAE,CAAC,EAAExC,GAAG,OAAOwC,EAAE,KAAK,oBAAoBxC,EAAE,MAAM,EAAE,EAAE,KAAK,oBAAoBA,EAAE,OAAO,GAAG,IAAI0C,EAAE,OAAO,KAAKb,CAAC,EAAEa,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,CAAC,EAAEC,EAAE,WAAW,QAAQ,CAACqD,EAAExC,IAAI,CAAC,GAAG,CAACL,EAAE,CAACC,CAAC,EAAEqjD,GAAGzgD,CAAC,EAAE3C,EAAE5C,EAAE0C,CAAC,EAAE,GAAGE,EAAE,SAAS,KAAK,CAAC,IAAIC,EAAED,EAAE,QAAQ,QAAQD,CAAC,EAAE,GAAGE,IAAI,GAAG,CAAC,IAAIC,EAAE,GAAGJ,KAAKG,IAAIX,EAAE,WAAWa,CAAC,EAAED,CAAC,CAAC,CAACZ,EAAE,OAAO,KAAKU,CAAC,EAAEA,EAAE,SAAS,KAAKV,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,SAAS,EAAErB,EAAE,QAAQoB,GAAG,CAAC,IAAIC,EAAElC,EAAEiC,CAAC,EAAEC,EAAE,SAAS,SAAS,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,QAAQD,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE8jD,GAAG/jD,CAAC,EAAEsD,EAAEvF,EAAEkC,CAAC,EAAEqD,GAAG,OAAOA,EAAE,aAAa,EAAEtD,CAAC,EAAE,EAAE,KAAKsD,CAAC,EAAE,CAAC,EAAE,OAAO,KAAK5E,CAAC,EAAE,OAAO,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQsB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE8jD,GAAG/jD,CAAC,EAAEsD,EAAEvF,EAAEkC,CAAC,EAAEqD,IAAIA,EAAE,aAAa5E,EAAEsB,CAAC,EAAEhC,EAAE,KAAKsF,CAAC,EAAE,CAAC,EAAEtF,EAAE3B,EAAE,IAAIwC,EAAE,CAAC,EAAEjC,EAAE,SAAS,MAAMA,EAAE,QAAQ,UAAU,OAAOiC,EAAEjC,EAAE,QAAQ,SAAS,OAAO,CAACoD,EAAEC,KAAKD,EAAEC,EAAE,UAAU,IAAI,EAAE,KAAK,YAAYA,CAAC,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIlB,EAAE,CAAC,MAAMf,EAAE,OAAOC,EAAE,QAAQ,EAAE,QAAQH,EAAE,aAAaxB,EAAE,UAAUH,EAAE,UAAU2C,CAAC,EAAE,OAAOf,EAAE,OAAO,IAAIgB,EAAE,UAAUhB,GAAGgB,CAAC,CAAC,oBAAoBlC,EAAE,CAAC,OAAO,OAAO,KAAKA,GAAG,CAAC,CAAC,EAAE,OAAO,CAACV,EAAE,KAAKA,EAAEU,EAAE,CAAC,EAAE,IAAI,EAAE,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,QAAQU,EAAE,CAAC,IAAIV,EAAEunD,GAAG7mD,EAAE,EAAE,GAAG,KAAK,UAAUA,EAAE,EAAE,GAAG,CAAC,EAAEA,EAAE,MAAM,OAAOA,EAAE,KAAK,CAAC,GAAG,IAAI,EAAE,CAAC,KAAKA,EAAE,KAAK,GAAGA,EAAE,GAAG,SAASV,EAAE,SAAS,YAAYU,EAAE,OAAO,CAAC,GAAG,IAAIP,GAAGA,EAAE,WAAW,GAAG,EAAEA,EAAE,MAAM,CAAC,EAAEA,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAAC,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,EAAE,SAASO,EAAE,KAAK,QAAQV,EAAE,OAAO,EAAE,OAAOA,EAAE,QAAQ,OAAO,EAAE,YAAYA,EAAE,OAAO,OAAO,CAACG,EAAEwB,KAAKxB,EAAEwB,EAAE,IAAI,EAAE,CAAC,KAAKA,EAAE,KAAK,gBAAgBA,EAAE,MAAM,cAAcA,EAAE,GAAG,EAAExB,GAAG,CAAC,CAAC,GAAGH,EAAE,OAAO,OAAO,EAAE,WAAWA,EAAE,MAAM,OAAO,CAACG,EAAEwB,IAAI,CAAC,IAAIC,EAAED,EAAE,KAAKE,EAAE,OAAOF,EAAE,KAAK,CAAC,IAAI,SAASE,EAAE0oD,GAAG7pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE0oD,GAAG7pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE2oD,GAAG9pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE2oD,GAAG9pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAE4oD,GAAG/pD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,cAAc,CAAC,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE4oD,GAAG/pD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,WAAWE,EAAE6oD,GAAGhqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE6oD,GAAGhqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAE8oD,GAAGjqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE8oD,GAAGjqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAASE,EAAE+oD,GAAGlqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAE+oD,GAAGlqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEgpD,GAAGnqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAEgpD,GAAGnqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEipD,GAAGpqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAEipD,GAAGpqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,QAAQE,EAAEkpD,GAAGrqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAEkpD,GAAGrqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,UAAUE,EAAEmpD,GAAGtqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAEmpD,GAAGtqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,OAAOE,EAAEopD,GAAGvqD,EAAE,KAAKiB,EAAE,OAAOA,EAAE,YAAY,EAAEE,IAAI,QAAQF,EAAE,mBAAmBE,EAAEopD,GAAGvqD,EAAE,KAAKiB,EAAE,iBAAiBA,EAAE,YAAY,GAAG,MAAM,IAAI,SAAS,IAAI,UAAU,MAAM,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,EAAE,gBAAgBjB,EAAE,IAAI,CAAC,CAAC,OAAOP,EAAEwB,EAAE,IAAI,EAAE,CAAC,MAAME,EAAE,KAAKD,CAAC,EAAEzB,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAEU,EAAE,QAAQ,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE3B,GAAG,OAAO2B,EAAE3B,EAAE,OAAO,CAACyC,EAAEC,KAAKD,EAAEC,EAAE,IAAI,EAAE,KAAK,QAAQA,CAAC,EAAEA,EAAE,KAAK,SAASvC,EAAE,KAAKsC,EAAEC,EAAE,IAAI,CAAC,EAAED,GAAG,CAAC,CAAC,GAAG,IAAIb,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAEnB,EAAE,UAAU,SAAS,QAAQ+B,GAAG,CAAC,GAAG,CAACC,CAAC,EAAEmlD,GAAGplD,EAAE,IAAI,EAAEE,EAAE,CAAC,KAAKD,EAAE,GAAG,cAAc,OAAO,CAAC,EAAE,WAAW,CAAC,EAAE,SAAS,QAAQ,YAAY,CAAC,EAAE,WAAW,CAAC,MAAM,CAAC,MAAMwoD,GAAGzoD,EAAE,IAAI,EAAE,KAAK,OAAO,CAAC,EAAE,SAAS,CAAC,CAAC,EAAEE,EAAE,aAAaF,EAAE,KAAKb,EAAE,KAAKe,CAAC,EAAEhB,EAAEe,CAAC,EAAEC,CAAC,CAAC,EAAE,OAAO,KAAKhB,CAAC,EAAE,QAAQc,GAAG,CAAC,IAAIC,EAAEf,EAAEc,CAAC,EAAEC,EAAE,WAAW,QAAQ,CAACC,EAAEC,IAAI,CAAC,GAAG,CAAC,EAAE,CAACmB,CAAC,EAAE8jD,GAAGllD,CAAC,EAAEyE,EAAEzF,EAAE,CAAC,EAAE,GAAGyF,EAAE,SAAS,KAAK,CAAC,IAAIxC,EAAEwC,EAAE,QAAQ,QAAQrD,CAAC,EAAE,GAAGa,IAAI,GAAG,CAAC,IAAIL,EAAE,GAAG,KAAKK,IAAIlC,EAAE,WAAWE,CAAC,EAAE2B,CAAC,CAAC,CAAC7B,EAAE,OAAO,KAAK0E,CAAC,EAAEA,EAAE,SAAS,KAAK1E,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAErB,EAAE,IAAIA,EAAE,UAAU,UAAU,QAAQ+B,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEklD,GAAG9lD,EAAEU,EAAE,IAAI,CAAC,EAAEG,EAAEjB,EAAEe,CAAC,EAAEE,GAAG,OAAOA,EAAE,cAAcD,EAAEd,EAAE,KAAKe,CAAC,EAAE,CAAC,EAAE,IAAIJ,EAAE,KAAK,mBAAmB9B,CAAC,EAAE,MAAM,CAAC,MAAMiB,EAAE,OAAOC,EAAE,QAAQC,EAAE,QAAQ1B,EAAE,aAAa,EAAE,UAAUqC,CAAC,CAAC,CAAC,mBAAmB9B,EAAE,CAAC,MAAM,CAAC,WAAWA,EAAE,UAAU,KAAK,OAAOA,EAAE,UAAU,SAAS,OAAO,CAACV,EAAE,KAAKA,EAAE,EAAE,IAAI,EAAE,KAAK,mBAAmB,CAAC,EAAEA,GAAG,CAAC,CAAC,EAAE,QAAQU,EAAE,UAAU,UAAU,OAAO,CAACV,EAAE,KAAKA,EAAE,EAAE,IAAI,EAAE,KAAK,mBAAmB,EAAEU,EAAE,GAAG,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBU,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,KAAK,OAAOV,GAAG,OAAO,EAAEA,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,MAAMU,EAAE,IAAI,CAAC,CAAC,EAAE,SAASyqD,GAAGrrD,EAAE,CAAC,IAAI,EAAEpO,EAAE,EAAE,OAAO,GAAG,OAAO,EAAE,MAAM,YAAY,OAAO,EAAE,KAAKoO,CAAC,EAAE,GAAG,OAAO,QAAQ,YAAY,OAAO,IAAI,OAAOA,EAAE,QAAQ,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,SAASsrD,GAAGtrD,EAAE,EAAE,CAAC,IAAIE,EAAE,MAAM,QAAQF,CAAC,EAAE,OAAO,aAAa,MAAM,KAAKA,CAAC,EAAEqrD,GAAGrrD,CAAC,EAAE,OAAO,EAAEE,EAAEA,EAAE,YAAY,CAAC,CAAC,SAASuqD,GAAGzqD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,CAAC,EAAE,OAAOK,GAAG,KAAKirD,GAAGjrD,EAAE,EAAED,CAAC,EAAEF,CAAC,CAAC,SAAS2qD,GAAG7qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,EAAEA,EAAE,EAAEF,CAAC,CAAC,SAASyqD,GAAG3qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,GAAG,CAAC,EAAEK,EAAED,EAAE,GAAG,KAAKA,EAAE,EAAEA,EAAE,GAAG,KAAKA,EAAE,EAAEF,EAAE,OAAO,OAAOG,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,CAAC,SAAS+qD,GAAGprD,EAAE,CAAC,OAAO,OAAOA,GAAG,WAAWA,EAAEsnD,GAAGtnD,CAAC,GAAGA,EAAE,CAAC,KAAKsnD,GAAG,SAAS,KAAKA,GAAG,QAAQ,MAAM,UAAU,KAAKA,GAAG,SAAS,KAAKA,GAAG,SAAS,KAAKA,GAAG,QAAQ,KAAKA,GAAG,SAAS,MAAM,QAAQ,KAAKA,GAAG,QAAQ,MAAM,OAAO,KAAKA,GAAG,UAAU,MAAM,UAAU,KAAKA,GAAG,UAAU,MAAM,SAAS,QAAQ,OAAO,IAAI,CAAC,CAAC,SAAS6D,GAAGnrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,KAAKA,EAAE,KAAK,KAAKF,CAAC,CAAC,SAAS+qD,GAAGjrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,KAAKgrD,GAAGhrD,EAAE,IAAI,EAAEF,CAAC,CAAC,SAASgrD,GAAGlrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,KAAKA,EAAE,KAAK,KAAK,IAAIC,GAAG+qD,GAAG/qD,CAAC,CAAC,EAAEH,CAAC,CAAC,SAASqrD,GAAGvrD,EAAE,CAAC,GAAG,CAACA,EAAE,YAAY,OAAOA,EAAE,KAAK,KAAKA,EAAE,IAAI,IAAI,GAAG,OAAO,EAAE,MAAM,SAAS,EAAE,KAAK,SAAS,EAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS+qD,GAAG/qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,MAAMmrD,GAAGnrD,EAAE,KAAK,EAAEF,CAAC,CAAC,SAAS0qD,GAAG5qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,IAAIA,EAAE,KAAK,GAAGA,EAAE,KAAK,EAAE,OAAOA,EAAE,KAAK,EAAEA,EAAE,KAAK,IAAI,CAAC,GAAG,IAAIC,GAAG,OAAOA,GAAG,SAASA,EAAE,SAASA,EAAE,EAAE,CAAC,EAAEH,CAAC,CAAC,SAASwqD,GAAG1qD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,CAAC,EAAE,OAAOK,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAE,IAAI,GAAGirD,GAAG,EAAElrD,CAAC,CAAC,EAAEF,CAAC,CAAC,SAAS8qD,GAAGhrD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,MAAMA,EAAE,KAAK,MAAM,IAAIC,GAAGkrD,GAAGlrD,CAAC,CAAC,EAAEH,CAAC,CAAC,SAAS4qD,GAAG9qD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,OAAOI,GAAGA,EAAE,MAAMA,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEF,CAAC,CAAC,IAAIsrD,GAAG,KAAK,CAAC,YAAY5qD,EAAEV,EAAE,EAAE,CAAC,KAAK,KAAKU,EAAE,KAAK,UAAUV,EAAE,KAAK,QAAQ,EAAE,KAAK,OAAO,CAAC,EAAE,KAAK,MAAM,CAAC,EAAE,KAAK,OAAOU,EAAE,WAAW,IAAIP,GAAG,KAAK,SAASA,CAAC,CAAC,EAAEO,EAAE,UAAU,OAAO,KAAK,MAAM,OAAO,KAAKA,EAAE,QAAQ,EAAE,OAAO,CAACP,EAAEwB,KAAKxB,EAAEwB,CAAC,EAAE,KAAK,QAAQA,CAAC,EAAExB,GAAG,CAAC,CAAC,EAAE,CAAC,SAASO,EAAE,CAAC,OAAO+mD,GAAG/mD,EAAE,KAAK,UAAU,KAAK,OAAO,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,KAAK,SAASU,CAAC,EAAE,GAAG,EAAE,QAAQ,KAAK,OAAO+mD,GAAG/mD,EAAE,KAAK,UAAU,KAAK,OAAO,EAAE,GAAG,EAAE,GAAG,MAAM,EAAE,GAAG,KAAK,OAAO+pD,GAAG,KAAK,KAAK,SAAS/pD,EAAEV,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAOuqD,GAAG,KAAK,KAAK,SAAS7pD,EAAEV,CAAC,EAAE,GAAG,EAAE,GAAG,KAAK,OAAO2qD,GAAG,KAAK,KAAK,SAASjqD,EAAEV,CAAC,EAAE,GAAG,EAAE,OAAO,KAAK,OAAO6qD,GAAG,KAAK,KAAK,SAASnqD,EAAEV,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,OAAO+qD,GAAG,KAAK,KAAK,SAASrqD,EAAEV,CAAC,EAAE,GAAG,EAAE,MAAM,KAAK,CAAC,GAAG,EAAE,KAAK,GAAG,MAAM,EAAE,KAAK,GAAG,KAAK,OAAO0qD,GAAG,KAAK,KAAK,SAAShqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAOwqD,GAAG,KAAK,KAAK,SAAS9pD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,OAAO,KAAK,OAAO8qD,GAAG,KAAK,KAAK,SAASpqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,GAAG,KAAK,OAAO4qD,GAAG,KAAK,KAAK,SAASlqD,EAAEV,CAAC,EAAE,GAAG,EAAE,KAAK,MAAM,KAAK,OAAOgrD,GAAG,KAAK,KAAK,SAAStqD,EAAEV,CAAC,CAAC,CAAC,OAAOA,CAAC,CAAC,EAAMurD,GAAG,CAAC,EAAExrD,GAAGwrD,GAAG,CAAC,gBAAgB,IAAIzjE,GAAG,IAAI,IAAI+E,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,EAAE,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,OAAO,IAAIC,GAAG,OAAO,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,cAAc,IAAIG,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,eAAe,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,cAAc,IAAIC,GAAG,YAAY,IAAIC,GAAG,OAAO,IAAIG,GAAG,KAAK,IAAIE,GAAE,KAAK,IAAIC,GAAG,YAAY,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,OAAO,IAAIE,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,cAAc,IAAIG,GAAG,aAAa,IAAIE,GAAG,gBAAgB,IAAIC,GAAG,KAAK,IAAIG,GAAG,WAAW,IAAIC,GAAG,IAAI,IAAII,GAAG,SAAS,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,oBAAoB,IAAIG,GAAG,MAAM,IAAIG,GAAG,IAAI,IAAIC,GAAG,cAAc,IAAIC,GAAG,IAAI,IAAIC,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIG,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIE,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,QAAQ,IAAIU,GAAG,aAAa,IAAIC,GAAG,KAAK,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,YAAY,IAAIC,GAAG,MAAM,IAAII,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,UAAU,IAAII,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,2BAA2B,IAAII,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,WAAW,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,WAAW,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,QAAQ,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIE,GAAG,IAAI,IAAIE,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,IAAI,IAAIC,GAAG,QAAQ,IAAIG,GAAG,cAAc,IAAIC,GAAG,IAAI,IAAIC,EAAE,aAAa,IAAIC,GAAG,YAAY,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIE,GAAG,SAAS,IAAIC,GAAG,OAAO,IAAIC,GAAG,KAAK,IAAIC,GAAG,SAAS,IAAIC,GAAG,GAAG,IAAIC,EAAE,aAAa,IAAIC,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,IAAI,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIE,GAAG,YAAY,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,KAAK,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIE,GAAG,WAAW,IAAIC,GAAG,KAAK,IAAIO,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIE,EAAE,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,MAAM,IAAIC,GAAG,OAAO,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIE,GAAG,KAAK,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,eAAe,IAAIS,GAAG,QAAQ,IAAIC,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,MAAM,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIE,GAAG,SAAS,IAAIC,GAAG,eAAe,IAAIC,GAAG,OAAO,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,QAAQ,IAAIC,GAAG,MAAM,IAAIC,GAAG,KAAK,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIC,GAAG,IAAI,IAAIE,GAAG,KAAK,IAAIC,GAAG,OAAO,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,KAAK,IAAII,GAAG,KAAK,IAAIE,GAAG,UAAU,IAAIE,GAAG,gBAAgB,IAAIC,GAAG,OAAO,IAAIC,GAAG,mBAAmB,IAAIG,GAAG,QAAQ,IAAIC,GAAG,WAAW,IAAIE,GAAG,SAAS,IAAII,GAAG,MAAM,IAAIU,GAAG,WAAW,IAAIC,GAAG,MAAM,IAAIC,GAAG,UAAU,IAAIC,EAAE,CAAC,EAAE,IAAIksD,GAAG,CAAC1rD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,UAAU,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,oBAAoB,MAAM,CAACE,EAAE,kBAAkBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM2rD,GAAG,CAAC3rD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,IAAI,aAAa,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,cAAc,MAAM,CAACE,EAAE,YAAYsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMunD,GAAG3nD,EAAE,WAAW,CAAC,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMunD,GAAG3nD,EAAE,WAAW,CAAC,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS4rD,GAAG5rD,EAAE,EAAEE,EAAE,GAAG,CAAC,GAAG,EAAE,OAAOF,GAAG,UAAU,OAAO,GAAG,UAAU,CAACxB,EAAE,OAAOwB,EAAE,SAAS,EAAE,OAAO,IAAIE,EAAE,WAAWF,SAAS,cAAc,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAI,CAAC,IAAIC,EAAEL,EAAEI,CAAC,EAAE,EAAE,EAAEA,CAAC,EAAE5B,EAAE,OAAO6B,EAAE,GAAG,EAAE,GAAGA,IAAI,EAAE,IAAIH,EAAE,WAAWF,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,SAAS6rD,GAAG7rD,EAAE,CAAC,MAAM,EAAE,OAAOA,GAAG,UAAUA,EAAE,KAAK,GAAG,EAAE,CAAC,EAAE,CAAC,SAAS8rD,GAAG9rD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE2rD,GAAG/rD,EAAEE,CAAC,EAAEG,EAAE,CAACwrD,GAAGzrD,CAAC,EAAE,GAAGC,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,qFAAqFD,GAAG,EAAE,GAAGC,GAAG,EAAE,QAAQ,GAAG,CAACD,EAAE2rD,GAAG,EAAE,MAAM3rD,CAAC,CAAC,CAAC,EAAE,CAACyrD,GAAGzrD,CAAC,EAAE,MAAM,IAAI,MAAM,mCAAmCA,GAAG,EAAE,OAAOA,CAAC,CAAC,SAAS2rD,GAAG/rD,EAAE,EAAE,CAAC,GAAG,OAAOA,GAAG,SAAS,OAAO,EAAE,GAAG,OAAO,GAAG,SAAS,OAAOA,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,IAAI,MAAM,oCAAoCA,SAAS,GAAG,EAAE,IAAIE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAE,CAAC,IAAIC,EAAEL,EAAEI,CAAC,EAAE,EAAE,EAAEA,CAAC,EAAE,GAAGC,GAAG,GAAG,GAAG,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCL,SAAS,GAAG,EAAEE,EAAEE,CAAC,EAAEC,GAAG,EAAEA,EAAE,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI8rD,GAAG,KAAK,CAAC,YAAYprD,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC,KAAK,KAAKnB,EAAE,KAAK,MAAMV,EAAE,KAAK,QAAQ,EAAE,KAAK,aAAaG,EAAE,KAAK,uBAAuBwB,EAAE,KAAK,YAAYC,EAAE,KAAK,eAAeC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS5H,GAAG,CAAC,EAAE/F,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,OAAO,CAAC,cAAcwM,EAAE,CAAC,KAAK,QAAQ,QAAQV,GAAG,EAAEU,GAAG,MAAM,CAACA,EAAE,IAAIV,EAAE,OAAO,EAAE,IAAIA,EAAE,OAAO,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,KAAK,QAAQ,GAAG,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,KAAKU,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGA,EAAE,GAAGA,GAAG,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,4BAA4BA,yBAAyB,KAAK,KAAK,GAAG,EAAE,IAAIV,EAAE,KAAK,QAAQU,CAAC,EAAE,GAAGV,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8BAA8BU,uGAAuG,EAAE,OAAO,KAAK,iBAAiBV,EAAE,QAAQ,IAAIA,EAAE,KAAK,GAAGA,EAAE,MAAM,CAAC,SAASU,EAAE,CAAC,OAAOA,EAAE,IAAIV,GAAG,KAAK,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B,EAAE,GAAGU,EAAE,GAAG,CAAC,KAAK,aAAaA,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,2BAA2BA,+CAA+C,KAAK,SAAS,EAAE,IAAI,EAAE,KAAK,QAAQA,CAAC,GAAG,CAAC,EAAE,GAAGV,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CU;AAAA,uCAChn2EV,EAAE,mCAAmC,KAAK,QAAQ,EAAE,GAAG,KAAK,KAAK,IAAI,IAAI,KAAK,cAAc,MAAM,KAAK,aAAa,SAAS,KAAK,KAAK,aAAaA,EAAE,OAAO0rD,GAAG,KAAK,aAAa1rD,EAAE,MAAM,eAAe,KAAK,8CAA8CU,IAAI,EAAE,EAAE,KAAK,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,sCAAsC,EAAE,GAAG,EAAE,QAAQ,MAAM,IAAI,MAAM,eAAe,KAAK,8CAA8CA,yCAAyC,EAAE,EAAE,OAAOV,EAAE9L,GAAG8L,CAAC,EAAE,EAAE,QAAQ,GAAG,KAAK,QAAQU,CAAC,EAAE,CAAC,CAAC,UAAUA,EAAEV,EAAE,CAAC,GAAGU,EAAE,SAASV,EAAE,OAAO,MAAM,IAAI,MAAM,eAAe,KAAK,kEAAkEU,EAAE,2CAA2CV,EAAE,SAAS,EAAEU,EAAE,QAAQ,CAAC,EAAEP,IAAI,KAAK,MAAM,EAAEH,EAAEG,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOO,EAAEV,EAAE,CAAC,GAAGA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAGU,EAAEA,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,MAAM,CAACA,EAAE,CAAC,EAAE,QAAQP,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIO,EAAE,KAAKP,CAAC,CAAC,CAAC,GAAGO,EAAE,SAAS,EAAE,OAAO3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS2D,CAAC,EAAE,OAAOgrD,GAAG,KAAK,aAAa,EAAE,CAAC,EAAE,MAAM,8BAA8B,EAAEpvD,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOoE,EAAE,CAAC,GAAGA,GAAGA,IAAI,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,GAAG,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,OAAO3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC,EAAE,IAAIiD,EAAE,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,KAAK,KAAK,EAAEA,IAAIH,EAAE,KAAKG,CAAC,EAAE,IAAI,EAAE,KAAK,SAASH,CAAC,EAAE,OAAO0rD,GAAG,KAAK,aAAa,EAAE,CAAC,EAAE,MAAM,mDAAmD,KAAK,wCAAwC,EAAE,CAAC,EAAE,QAAQ,EAAEx8D,GAAG,EAAE,CAAC,CAAC,CAAC,QAAQwR,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,GAAGU,EAAE,SAASV,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,sDAAsDU,EAAE,cAAcV,EAAE,MAAM,CAAC,GAAG,EAAE,IAAI,EAAE,KAAK,IAAI,GAAGU,CAAC,EAAE,GAAG,CAAC,KAAK,aAAa,GAAG,KAAK,QAAQ,MAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU,EAAE,KAAK,UAAUA,EAAEvC,GAAG6B,EAAE,CAAC,CAAC,CAAC,CAAC,MAAMU,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,MAAM,MAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,EAAE,OAAO,EAAE,IAAI,EAAE,EAAEG,EAAEO,EAAE,IAAIoB,IAAI,GAAGA,EAAE,EAAE,EAAE,GAAG,IAAI9B,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM;AAAA;AAAA,UAE3pE,6BAA6BA,EAAE,OAAO,EAAE,GAAG,CAAC,KAAK,aAAaU,EAAE,SAAS,KAAK,QAAQ,MAAM,IAAI,MAAM,2DAA2D,KAAK,eAAeA,EAAE,sEAAsE,EAAE,IAAIiB,EAAE,IAAI,EAAE,EAAE3B,EAAE,KAAK,EAAE4B,EAAE,CAAC,EAAEpE,EAAE,IAAI,CAACwC,EAAExG,EAAEwG,EAAE,CAAC,EAAE,EAAE2B,CAAC,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEpB,EAAE,OAAO,EAAEoB,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAEV,IAAI,EAAE,EAAE3B,EAAE2B,EAAE,CAAC,EAAE,CAAC,EAAEW,EAAE,CAAC,EAAE/B,EAAEoB,CAAC,EAAEH,CAAC,EAAEC,EAAEE,CAAC,EAAEtI,EAAE6B,GAAG2E,EAAEwC,EAAEC,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,OAAOb,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpB,EAAE,OAAOoB,IAAID,EAAEC,CAAC,EAAEA,EAAE,KAAK,UAAUD,EAAED,CAAC,CAAC,CAAC,EAAMmqD,GAAG,KAAK,CAAC,YAAYrrD,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,KAAK,QAAQO,EAAE,KAAK,aAAaV,EAAE,KAAK,aAAa,EAAEU,GAAG,MAAMA,EAAE,QAAQiB,GAAG,CAAC,GAAG,IAAIA,EAAE,MAAM,MAAM,IAAI,MAAM,mCAAmC,wBAAwBA,EAAE,OAAO,EAAE+pD,GAAG1rD,EAAE2B,EAAE,MAAM,6BAA6B,EAAEzN,GAAGyN,CAAC,CAAC,CAAC,EAAE,KAAK,SAAS1H,GAAG,CAAC,EAAE,KAAK,eAAekG,EAAEjM,GAAG,KAAK,QAAQ,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,SAAS,EAAE,CAAC,MAAM,CAAC,OAAO,IAAI63D,GAAG,CAAC,GAAG,KAAK,OAAO,EAAE,KAAK,aAAa,KAAK,YAAY,CAAC,CAAC,cAAcrrD,EAAE,CAAC,KAAK,QAAQ,QAAQV,GAAG,EAAEU,GAAG,MAAM,CAACA,EAAE,IAAIV,EAAE,EAAE,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,QAAQ,OAAO,EAAE,KAAK,SAAS,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,QAAQ,MAAM,CAAC,MAAMU,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,IAAI,IAAI,KAAK,QAAQ,SAAS,EAAE,MAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB,EAAE0rD,GAAGhrD,EAAE,KAAK,aAAa,6BAA6B,EAAE,IAAIP,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQlrD,CAAC,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAImE,EAAE,KAAK,QAAQ,IAAIC,GAAGpI,EAAEoI,EAAEzB,CAAC,CAAC,EAAE,OAAO7D,GAAGqF,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQjB,EAAEV,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE,GAAG,KAAK,KAAK,IAAI,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI,EAAE4rD,GAAG,KAAK,aAAa,KAAK,QAAQlrD,CAAC,EAAEP,EAAE,KAAK,QAAQ,IAAI,EAAE,OAAOA,EAAE,KAAK,GAAGurD,GAAGvrD,EAAE,MAAMO,EAAE,6BAA6B,EAAElH,EAAE2G,EAAE,CAAC,CAAC,CAAC,SAASO,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGgrD,GAAGhrD,EAAE,MAAM,KAAK,aAAa,6BAA6B,EAAE,KAAK,iBAAiB,KAAK,KAAK,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAExM,GAAGwM,CAAC,EAAE,KAAK,QAAQ,KAAKA,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,MAAM,0DAA0DA,GAAG,EAAE,GAAG,KAAK,iBAAiB,IAAIA,EAAE,KAAK,eAAe,MAAM,IAAI,MAAM,+BAA+BA,8BAA8B,KAAK,iBAAiB,EAAE,IAAIV,EAAE,IAAI+rD,GAAG,CAAC,EAAE,KAAK,aAAa,KAAK,aAAa,KAAK,cAAc,EAAE/rD,EAAE,QAAQ,OAAOU,EAAE,QAAQ,EAAE,EAAE,EAAE,KAAK,IAAI,KAAK,QAAQ,OAAOA,CAAC,EAAE,EAAE,EAAEV,EAAE,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE,OAAOA,CAAC,CAAC,QAAQU,EAAEV,EAAE,EAAE,CAAC,GAAG,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc,EAAE,GAAGU,EAAE,GAAGA,EAAE,KAAK,QAAQ,OAAO,MAAM,IAAI,MAAM,4BAA4BA,oBAAoB,KAAK,QAAQ,kBAAkB,EAAE,GAAG,KAAK,QAAQA,CAAC,GAAG,KAAK,MAAM,IAAI,MAAM,oBAAoBA,YAAY,EAAEgrD,GAAG,KAAK,QAAQhrD,CAAC,EAAE,MAAMV,EAAE,6BAA6B,EAAE,IAAIG,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQ5rD,CAAC,EAAE,OAAOxG,EAAE,KAAK,QAAQkH,CAAC,EAAEP,CAAC,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,GAAGA,EAAE,QAAQ,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,EAAE,4BAA4B,KAAK,cAAc,EAAE,GAAGU,EAAE,GAAG,KAAK,iBAAiB,IAAIA,GAAG,KAAK,eAAe,MAAM,IAAI,MAAM,yBAAyBA,wBAAwB,KAAK,0BAA0B,EAAEgrD,GAAG,KAAK,aAAa1rD,EAAE,MAAM,6BAA6B,EAAE9L,GAAG8L,CAAC,EAAE,KAAK,QAAQU,CAAC,GAAG,OAAO,KAAK,QAAQA,CAAC,EAAE,KAAK,IAAI,KAAK,QAAQA,CAAC,EAAEV,CAAC,CAAC,OAAOU,EAAEV,EAAE,EAAE,CAAC,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,mCAAmCA,wBAAwB,KAAK,cAAc,EAAE0rD,GAAG,KAAK,aAAa,EAAE,6BAA6B,EAAEhrD,EAAEA,EAAE,MAAM,EAAE,KAAK,KAAK,CAAC,EAAE,IAAIP,EAAEyrD,GAAG,KAAK,aAAa,KAAK,QAAQ,CAAC,EAAE,OAAOlrD,EAAE,SAAS,EAAE3D,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOoD,CAAC,CAAC,EAAE3C,EAAE,IAAI,CAAC,IAAImE,EAAEjB,EAAE,IAAIkB,GAAGpI,EAAE,KAAK,QAAQoI,CAAC,EAAEzB,CAAC,CAAC,EAAE,OAAO7D,GAAGqF,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOjB,EAAEV,EAAE,CAAC,GAAGU,GAAGA,IAAI,KAAK,aAAa,MAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2CA,GAAG,EAAEgrD,GAAG,KAAK,aAAa1rD,EAAE,6BAA6B,EAAE,IAAI,EAAE4rD,GAAG,KAAK,aAAa,KAAK,QAAQ5rD,CAAC,EAAE,OAAO,KAAK,KAAK,IAAI,EAAEjD,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAES,EAAE,IAAI,CAAC,IAAI2C,EAAE,KAAK,QAAQ,IAAIwB,GAAGnI,EAAEmI,EAAE,CAAC,CAAC,EAAE,OAAOzS,GAAGiR,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS6rD,GAAGlsD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAM,GAAGA,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,OAAO,EAAE,GAAGA,EAAE,QAAQE,EAAE,MAAM,IAAI,MAAM,mCAAmCF,EAAE,4BAA4BE,GAAG,EAAE,IAAIG,EAAEL,EAAE,MAAM,MAAM,CAAC,EAAE4rD,GAAGvrD,EAAE,EAAE,6BAA6B,EAAE,IAAI,EAAEhC,GAAG2B,CAAC,EAAE,OAAO,IAAIisD,GAAG,EAAE,EAAE7rD,CAAC,CAAC,CAAC,SAAS+rD,GAAGnsD,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAO,IAAI6rD,GAAG,CAAC,EAAEjsD,EAAE,EAAEI,CAAC,CAAC,CAAC,SAASgsD,GAAGpsD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,EAAE,SAASJ,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,EAAE,MAAM,CAAC,GAAG,EAAE,IAAIK,EAAE,KAAK,IAAI,GAAG,CAAC,EAAE,GAAGD,GAAG,MAAMA,IAAI,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAM,mCAAmCC,UAAUD,IAAI,EAAE,IAAI,EAAE,IAAI6rD,GAAG,CAAC,EAAE/rD,EAAEF,EAAE,MAAMI,CAAC,EAAE,EAAE/B,GAAG2B,EAAE,CAAC,EAAE,OAAO,EAAE,QAAQ,CAAC+B,EAAEC,IAAI,CAAC,EAAE,QAAQD,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,SAASqqD,GAAGrsD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,EAAEC,EAAE,EAAE,IAAIqC,IAAItC,GAAGsC,EAAEtC,EAAE,EAAE,GAAGA,IAAIJ,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM;AAAA;AAAA,UAE75JI,6BAA6BJ,EAAE,OAAO,EAAE,IAAI,EAAEA,EAAE,MAAM,MAAM,CAAC,EAAE,EAAE+rD,GAAG,EAAE7rD,CAAC,EAAE6B,EAAE3B,IAAI,EAAE,EAAEJ,EAAE,KAAKI,EAAE4B,EAAEtE,EAAE,IAAI,CAAC,IAAIgF,EAAE,CAAC,EAAE1C,EAAEtG,EAAEsG,EAAE,CAAC,EAAEI,EAAE2B,CAAC,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEF,IAAI,EAAE,EAAEtC,EAAEsC,EAAE,CAAC,EAAE,CAAC,EAAEG,EAAE,CAAC,EAAE,EAAEH,CAAC,EAAEZ,CAAC,EAAEW,EAAEC,CAAC,EAAEjJ,EAAE6B,GAAGyE,EAAE6C,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO9C,EAAE,QAAQ,EAAE0C,CAAC,CAAC,EAAET,EAAE,IAAIgqD,GAAG,CAAC,EAAE/rD,EAAEF,EAAE,MAAM,EAAE,MAAM,EAAE,QAAQ0C,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIT,EAAE,QAAQS,EAAEV,EAAEU,CAAC,CAAC,EAAE,OAAOT,CAAC,CAAC,IAAIqqD,GAAG,MAAMtsD,EAAE,EAAEE,IAAI,CAAC,OAAOF,EAAE,GAAG,CAAC,IAAI,KAAK,IAAI,cAAc,CAAC,IAAII,EAAEsnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAM,EAAE,KAAK,GAAG,CAAC,EAAEA,EAAE,YAAYE,CAAC,EAAE,qBAAqB,EAAEF,EAAE,eAAeA,EAAE,aAAa,EAAEA,EAAE,YAAYG,CAAC,EAAE,qBAAqB,EAAEH,EAAE,eAAeA,EAAE,aAAa,CAAC,CAAC,IAAI,QAAQ,IAAI,iBAAiB,CAAC,IAAIE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,MAAMA,EAAE,YAAYG,CAAC,EAAE,qBAAqB,EAAEH,EAAE,eAAeA,EAAE,aAAa,EAAE6B,EAAE,EAAE,IAAIW,GAAGA,EAAE,EAAE,EAAEV,EAAE,MAAM,EAAE,CAAC,EAAE,KAAK,EAAE,EAAE,QAAQU,GAAG,CAAC,CAACA,EAAE,MAAMX,EAAE,QAAQW,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAIT,EAAE,EAAE,KAAKD,EAAE,CAAC,GAAG,CAAC,IAAIU,EAAET,EAAEA,EAAE,MAAM/B,EAAE,YAAYE,CAAC,EAAE,qBAAqB6B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,EAAE,IAAIyC,EAAEV,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEH,EAAE,QAAQG,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,EAAE,IAAID,EAAE,MAAM1C,EAAE,YAAYG,CAAC,EAAE,qBAAqB4B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,EAAE8B,EAAE,MAAMY,EAAE,CAAC,EAAE,KAAK,EAAEA,EAAE,QAAQC,GAAG,CAAC,CAACA,EAAE,MAAMd,EAAE,QAAQc,EAAE,EAAE,IAAI,IAAIF,EAAE,QAAQE,EAAE,EAAE,IAAI,IAAIA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,IAAI,WAAW,CAAC,IAAI7B,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,OAAOG,EAAE,OAAOA,EAAE4nD,GAAG5nD,CAAC,IAAI,MAAMD,EAAE,KAAK,GAAG,CAAC,EAAE,CAAC,OAAOC,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEJ,EAAE,WAAW,KAAKK,GAAGsnD,GAAGtnD,EAAE,EAAEH,CAAC,IAAI,MAAM,EAAE,GAAGE,EAAE,CAAC,IAAIC,EAAEsnD,GAAGvnD,EAAE,EAAEF,CAAC,EAAE,MAAM,CAAC+nD,GAAG5nD,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,IAAI,QAAQ,CAAC,IAAID,EAAEsnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,WAAWE,CAAC,EAAE,CAAC6nD,GAAG5nD,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,UAAU,EAAE,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOA,EAAE,cAAc,EAAE,CAAC+nD,GAAG7nD,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,yBAAyB1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAE,IAAIspD,GAAG/pD,EAAE5B,EAAED,EAAE,EAAE4B,EAAE,EAAED,CAAC,EAAE,OAAO7B,EAAE,eAAewC,CAAC,EAAE,CAACA,EAAE,SAASvI,GAAG,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAIiG,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,MAAMC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeE,EAAE,EAAE,EAAE,KAAKC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAOC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,sBAAsB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACG,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAO,EAAE,MAAM,EAAEC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,MAAM,CAACjG,GAAGkG,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,eAAeE,EAAE,EAAE,EAAE,OAAOC,EAAE,cAAc,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAO,EAAE,QAAQC,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEqqD,GAAG/rD,EAAED,EAAE,EAAE,CAAC,EAAE,OAAOF,EAAE,cAAc6B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,IAAI,kBAAkB,CAAC,IAAI3B,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEF,EAAE,KAAK,oBAAoB,EAAE,cAAc,EAAE,iBAAiB,IAAI,EAAE0nD,EAAE,EAAE1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE/B,EAAE,KAAK,oBAAoB,GAAG,EAAEgC,EAAEmqD,GAAG/rD,EAAEC,EAAE,EAAE0B,CAAC,EAAE,OAAO7B,EAAE,cAAc8B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAI5B,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAOC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,MAAMC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,uBAAuB,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEgsD,GAAG9rD,EAAEC,EAAE,CAAC,EAAE,OAAOH,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,IAAI,qBAAqB,CAAC,IAAIE,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,cAAcE,EAAE,EAAE,EAAE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACG,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,qBAAqB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEA,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAO,EAAE,SAASC,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,cAAcE,EAAE,EAAE,EAAE,QAAQC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAID,EAAEsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEmsD,GAAGjsD,EAAE,EAAEC,CAAC,EAAE,OAAOH,EAAE,cAAc,CAAC,EAAE,CAAC,EAAE,QAAQ,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAIE,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEH,EAAE,cAAcE,EAAE,EAAE,EAAE,MAAM,CAACjG,GAAGkG,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,mBAAmB,CAAC,IAAID,EAAEsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE4B,EAAE5B,EAAE,cAAcE,EAAE,EAAE,EAAE,OAAOC,CAAC,EAAE,OAAOH,EAAE,cAAc4B,CAAC,EAAE,CAACA,EAAE,QAAQ,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa9B,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAASusD,GAAGvsD,EAAE,EAAEE,EAAE,CAAC,GAAG,CAACE,EAAEC,CAAC,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,IAAI,UAAU,EAAE,CAAC,EAAE2B,EAAE1B,IAAI,QAAQ2B,EAAE5B,IAAI,iBAAiB6B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG6B,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,uGAAuG,EAAE,GAAG,CAACF,GAAG,GAAGE,IAAI,EAAE,MAAM,IAAI,MAAM,kFAAkF,CAAC,CAAC,GAAGD,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAIU,EAAEglD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAEqlD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE0C,EAAE8kD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE2C,EAAE6kD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,CAAC4C,EAAEkB,CAAC,EAAE0jD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,IAAI8D,EAAElB,EAAEA,EAAE,QAAQ,IAAI,EAAE4kD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,OAAOwC,EAAE,IAAIC,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQC,EAAE,SAASkB,EAAE,eAAe3D,EAAE,eAAe,CAAC,CAAC,CAAC,IAAImsD,GAAG,CAACxsD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,SAAS,CAAC,IAAIK,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAO1B,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE4pD,GAAGvsD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,OAAO,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,GAAG,CAAC,OAAOtC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU0B,EAAE,QAAQC,EAAE,SAASC,EAAE,eAAeS,EAAE,eAAeC,CAAC,EAAE4pD,GAAGvsD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,gBAAgB,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,WAAW,EAAE,UAAU,CAAC0B,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAKC,EAAE,WAAWU,EAAE,uBAAuBT,EAAE,eAAeU,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,sBAAsB,IAAI,kBAAkB,CAAC,IAAItC,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,gBAAgBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,IAAI,kBAAkB,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE8nD,GAAGhoD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACE,EAAE,gBAAgBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAE0B,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC0B,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAI1B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,sBAAsB1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,OAAO8B,EAAE,QAAQC,CAAC,EAAE7B,EAAE,kBAAkBsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAE0B,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAI5B,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAACG,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,aAAa,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE1B,EAAE,CAAC,EAAE2B,EAAE3B,EAAE,CAAC,EAAE4B,EAAE,EAAE,CAAC,EAAES,EAAE,EAAE,CAAC,EAAE,MAAM,CAACtC,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,CAAC6B,EAAEC,CAAC,EAAE,EAAE,CAACC,EAAES,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa1C,EAAE,uBAAuB,CAAC,CAAC,EAAMysD,GAAG,CAACzsD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,OAAO,CAAC,IAAIK,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,IAAIA,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,YAAYC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOC,EAAE,EAAE,EAAE0B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,MAAM,CAAC5B,EAAE,KAAKsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,uBAAuB,MAAM,CAACE,EAAE,qBAAqBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,CAAC,IAAIG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAMC,EAAE,EAAE,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,CAAC,IAAIG,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,gBAAgBC,EAAE,EAAE,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,MAAM,CAAC3B,EAAE,MAAMsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS0sD,GAAG1sD,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEG,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,OAAOC,EAAE,cAAc,EAAE,aAAa,EAAE,eAAe0B,EAAE,aAAaC,CAAC,CAAC,CAAC,IAAI2qD,GAAG,MAAM3sD,EAAE,EAAEE,EAAEE,EAAEC,EAAEorD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAc+B,EAAE,aAAaC,EAAE,eAAeC,EAAE,aAAaS,CAAC,EAAEgqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAEyC,EAAE,MAAMtC,EAAE,MAAM,gCAAgC,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,cAAc,CAAC,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEyqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAE,MAAMtC,EAAE,MAAM,6BAA6B,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,MAAM,CAACC,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,IAAI,sBAAsB,IAAI,sBAAsB,CAAC,GAAG,CAAC,MAAM,EAAE,OAAO,EAAE,cAAcZ,EAAE,aAAaC,EAAE,eAAeC,CAAC,EAAEyqD,GAAG1sD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAMG,EAAE,MAAM,uBAAuB,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE5B,EAAE,KAAKqnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,MAAMG,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAI,WAAW,OAAOA,EAAE,eAAeqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM4sD,GAAG,CAAC5sD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,aAAa,CAAC,IAAIK,EAAEqnD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE3B,EAAE,KAAKC,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC0B,EAAE,OAAOA,EAAE,OAAO,CAAC,CAAC,IAAI,aAAa,CAAC,IAAI1B,EAAEqnD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,EAAE,OAAOC,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEE,EAAE,OAAOC,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaL,EAAE,uBAAuB,CAAC,CAAC,EAAM6sD,GAAG,CAAC7sD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,QAAQ,OAAO,EAAEA,EAAE,IAAI,EAAE,IAAI,yBAAyB,IAAIK,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACynD,GAAG3nD,EAAE,KAAK,EAAEE,CAAC,GAAGG,CAAC,EAAE,IAAI,cAAc,MAAM,CAACsnD,GAAG3nD,EAAE,KAAK,EAAEE,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,eAAe,IAAI,0BAA0B,CAAC,IAAIwC,EAAEglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAGvlD,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,OAAOglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,IAAIwC,GAAGulD,GAAGvlD,CAAC,CAAC,EAAE,IAAI,WAAW,IAAI,EAAEglD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC+nD,GAAG,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAAC7nD,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,OAAO,CAAC,EAAE,IAAI,SAAS,OAAOwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,IAAIwC,GAAGtC,EAAE,SAASsC,EAAE,KAAK,CAAC,EAAE,IAAI,OAAO,MAAM,CAACtC,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,OAAO,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,QAAQ,KAAK,gGAAgG,EAAE,QAAQ,IAAI8B,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAEX,EAAE,OAAOW,IAAI,QAAQ,IAAI,MAAM,UAAU,MAAM,KAAKX,EAAEW,CAAC,EAAE,SAAS,CAAC,EAAE,MAAM,EAAET,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAM8sD,GAAG,KAAK,CAAC,YAAYlsD,EAAEV,EAAE,CAAC,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO/F,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI,IAAI/F,GAAG,KAAK,MAAM,CAAC,CAAC,IAAI,IAAI,CAAC,OAAO,KAAK,OAAO,EAAE,CAAC,eAAe,CAAC,KAAK,UAAU,QAAQwM,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE,KAAK,OAAO,QAAQ,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,UAAU,IAAI,CAAC,YAAY,CAAC,OAAOzG,GAAG,KAAK,KAAK,EAAE,OAAO,CAAC,CAAC,MAAM,OAAOyG,EAAEV,EAAE,CAAC,KAAK,uBAAuBU,EAAEV,CAAC,EAAE,IAAI,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAO,KAAK,UAAU,QAAQP,GAAGA,EAAE,QAAQ,CAAC,EAAE,KAAK,UAAU,MAAM,EAAE3C,EAAE,IAAI,CAAC,IAAI2C,EAAEhC,GAAG6B,CAAC,EAAE2B,EAAE,EAAE,OAAOC,EAAEzB,EAAE,OAAO7B,EAAE,OAAOqD,IAAIC,EAAE,IAAI,kDAAkDD,8BAA8BC,aAAa,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAE,EAAE1B,EAAE0B,CAAC,EAAE3N,GAAG,CAAC,EAAE,KAAK,UAAU,IAAI4N,EAAE,CAAC,CAAC,CAAC,OAAO,KAAK,MAAM,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAEV,EAAE,CAAC,KAAK,uBAAuBU,EAAEV,CAAC,EAAE,IAAI,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAOlD,EAAE,IAAI,CAAC,IAAI2C,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAEE,EAAE,KAAK,gBAAgBD,EAAE5B,CAAC,EAAEG,EAAE,KAAK0B,CAAC,CAAC,CAAC,OAAOvF,GAAG6D,CAAC,CAAC,CAAC,CAAC,CAAC,gBAAgBO,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIU,CAAC,EAAE,OAAO,GAAG,KAAK,EAAEV,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,CAAC,GAAGU,EAAE,QAAQ,KAAK,SAAS,MAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqBA,EAAE,OAAO,EAAE,GAAGV,EAAE,QAAQ,KAAK,WAAW,MAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,EAAE,OAAO,CAAC,CAAC,EAAM6sD,GAAG,MAAM/sD,EAAE,EAAEE,EAAEE,IAAI,CAAC,OAAOJ,EAAE,GAAG,CAAC,IAAI,YAAY,IAAI,cAAc,CAAC,IAAIK,EAAED,EAAE,yBAAyBJ,EAAE,IAAI,EAAE,GAAGK,GAAG,KAAK,MAAM,CAACA,CAAC,EAAE,CAAC,IAAI,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE,IAAI+qD,GAAG,EAAE,CAAC,EAAE,OAAO1sD,EAAE,aAAaJ,EAAE,KAAK+B,CAAC,EAAE,CAACA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,IAAI,oBAAoB,IAAI,sBAAsB,CAAC,IAAI1B,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,iBAAiBC,EAAE,EAAE,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,EAAEsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,iBAAiBC,EAAE,EAAE,EAAE,KAAK,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,kBAAkB,IAAI,oBAAoB,CAAC,IAAIA,EAAEqnD,EAAE,cAAc1nD,EAAE,EAAEE,EAAEE,CAAC,EAAE,MAAM,CAACA,EAAE,iBAAiBC,EAAE,EAAE,EAAE,WAAW,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAaL,EAAE,uBAAuB,CAAC,CAAC,EAAMgtD,GAAG,CAAChtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,iBAAiB,CAAC,IAAIK,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,eAAeC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,wBAAwB,CAAC,IAAI1B,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,sBAAsBC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAI1B,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,cAAcC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,6BAA6B,CAAC,IAAI5B,EAAEqnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,UAAUC,EAAE,EAAE2B,EAAE,YAAY,EAAEC,EAAE,YAAY,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa/B,EAAE,uBAAuB,CAAC,CAAC,EAAMitD,GAAG,CAACjtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,QAAQ,MAAM,CAACI,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,WAAW,MAAM,CAACE,EAAE,SAASsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,MAAM,CAACE,EAAE,aAAasnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,IAAI,WAAW,MAAM,CAACE,EAAE,MAAMsnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMktD,GAAG,CAACltD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,cAAc,IAAI,gBAAgB,IAAI,SAAS,MAAM,CAACI,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,MAAM,CAACE,EAAE,OAAOsnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,GAAGwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,eAAe,GAAG,CAACG,EAAE,CAAC,EAAEqnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,EAAEG,IAAI,UAAU0B,EAAE,IAAI,QAAQC,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE,GAAG,EAAE,CAAC,GAAG6B,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,oFAAoF,EAAE,GAAG,CAACD,GAAGC,IAAI,EAAE,MAAM,IAAI,MAAM,+DAA+D,CAAC,CAAC,GAAG,CAACU,EAAEC,CAAC,EAAE+kD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAM,OAAO,CAAC,EAAEsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,WAAWwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,WAAWwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,KAAKwC,EAAE,WAAW,EAAE,uBAAuBC,EAAE,eAAeV,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAajC,EAAE,uBAAuB,CAAC,CAAC,EAAMmtD,GAAG,CAACntD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,gBAAgB,MAAM,CAACI,EAAE,cAAcsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,IAAI,mBAAmB,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,MAAM,MAAM,CAACE,EAAE,2BAA2BsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,UAAU,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMotD,GAAG,CAACptD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,mBAAmBK,EAAE,kBAAkB,CAAC,EAAED,EAAE,aAAasnD,EAAE,qBAAqB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,oBAAoB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,mBAAmB1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,OAAOG,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,eAAeA,EAAE,cAAc,CAAC,EAAED,EAAE,YAAYsnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,uBAAuB,MAAM,CAACD,EAAE,qBAAqBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,sBAAsB1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,oBAAoB1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMqtD,GAAG,CAACrtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,CAAC,IAAI+B,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIA,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAID,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIF,EAAE2lD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,IAAI5B,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,EAAE,CAAC,CAAC,EAAE,IAAI,gBAAgB,CAAC,IAAI0B,EAAE2lD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,cAAc2B,EAAEC,EAAEC,EAAES,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa1C,EAAE,uBAAuB,CAAC,CAAC,EAAMstD,GAAG,CAACttD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,WAAW,IAAI,SAAS,CAAC,IAAIK,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,OAAO,EAAE,EAAE,MAAM,EAAEG,CAAC,EAAE,CAACD,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,SAAS,CAAC,IAAIC,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAOC,EAAED,EAAE,KAAK,EAAE,OAAO,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIC,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,OAAO,EAAEA,EAAE,KAAK2B,EAAE,OAAO,EAAE1B,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE1B,EAAE,OAAO0B,IAAI1B,EAAE0B,CAAC,GAAG,EAAE,KAAKA,CAAC,EAAE,IAAI,EAAE2lD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQ,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIC,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEqnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,MAAM1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE8B,EAAE0lD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE+B,EAAEylD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwC,EAAEglD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEyC,EAAE+kD,EAAE,iBAAiB1nD,EAAE,EAAEE,CAAC,EAAE0C,EAAE8kD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,aAAawC,EAAEvC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,CAAC,CAAC,CAAC,CAAC,IAAI,OAAO,OAAOjF,EAAE,IAAI,CAAC,IAAI2C,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,MAAM6B,EAAE3B,EAAE,QAAQ,EAAE,CAAC,CAAC,EAAE,MAAM4B,EAAE,EAAE,IAAIC,GAAG,CAAC,IAAIS,EAAElE,EAAE,YAAYyD,EAAE,MAAM,CAAC,EAAE,GAAG,CAACS,GAAG,CAAClE,EAAE,YAAY4B,EAAE,QAAQ6B,CAAC,EAAE,MAAMF,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,OAAOW,EAAET,EAAE7B,EAAE,QAAQ6B,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC7B,EAAE,MAAM4B,EAAE3B,CAAC,CAAC,CAAC,CAAC,EAAE,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,OAAOE,EAAE,QAAQ,EAAEC,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,QAAQ,IAAI,SAAS,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,kBAAkB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,OAAOE,EAAE,MAAM,EAAE,EAAEC,CAAC,CAAC,CAAC,IAAI,YAAY,CAAC,IAAIA,EAAEqnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,UAAUC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,IAAIA,EAAEqnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,SAASC,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,IAAIA,EAAEqnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE6B,EAAE2lD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,cAAcC,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,MAAMA,EAAE3B,EAAE,KAAK2B,EAAE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,QAAQ,MAAM,UAAU,aAAa/B,EAAE,uBAAuB,CAAC,CAAC,EAAMutD,GAAG,CAACvtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,sBAAsB,CAAC,GAAG,CAAC,cAAcK,EAAE,aAAa,EAAE,kBAAkB,EAAE,gBAAgB0B,CAAC,EAAE3B,EAAE,OAAO,oBAAoBsnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,SAAS1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,EAAE,EAAE0B,CAAC,CAAC,CAAC,IAAI,gBAAgB,CAAC,GAAG,CAAC,cAAc1B,EAAE,YAAY,CAAC,EAAED,EAAE,OAAO,cAAcsnD,EAAE,eAAe1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,oBAAoB,MAAM,CAACD,EAAE,OAAO,kBAAkBsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,mBAAmB,MAAM,CAACE,EAAE,OAAO,iBAAiBsnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMwtD,GAAG,CAACxtD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,MAAM,MAAM,CAACI,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAO,MAAM,CAACE,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,MAAM,CAACE,EAAE,MAAMsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAMytD,GAAG,CAACztD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,eAAe,CAAC,GAAG,CAAC,OAAOK,EAAE,aAAa,CAAC,EAAED,EAAE,OAAO,aAAasnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,cAAc1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,yBAAyB1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,CAAC,CAAC,CAAC,IAAI,cAAc,CAAC,GAAG,CAAC,QAAQA,EAAE,OAAO,EAAE,MAAM,CAAC,EAAED,EAAE,OAAO,YAAYsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,CAAC,EAAE,MAAM,CAACG,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,yBAAyB,MAAM,CAACD,EAAE,OAAO,uBAAuBsnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAM0tD,GAAG,CAAC1tD,EAAE,EAAEE,EAAEE,EAAEqrD,KAAK,CAAC,OAAOzrD,EAAE,GAAG,CAAC,IAAI,OAAO,MAAM,CAACI,EAAE,KAAKsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,aAAa,CAAC,IAAIG,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,WAAWsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,CAAC,IAAIA,EAAEqnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,CAAC,CAAC,CAAC,CAAC,IAAI,UAAU,MAAM,CAACD,EAAE,QAAQsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,YAAY,MAAM,CAACE,EAAE,UAAUsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,OAAO1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,QAAQ,IAAI,MAAM,MAAM,CAACE,EAAE,IAAIsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,UAAU1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,gBAAgB1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,iBAAiB,CAAC,IAAIG,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,WAAW1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,eAAesnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,iBAAiB,CAAC,IAAIA,EAAEqnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,EAAE,MAAM,CAACE,EAAE,eAAesnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,eAAe,CAAC,IAAIA,EAAEqnD,EAAE,YAAY1nD,EAAE,EAAEE,CAAC,EAAE,EAAEwnD,EAAE,aAAa1nD,EAAE,EAAEE,CAAC,EAAE,YAAY,EAAE,MAAM,CAACE,EAAE,aAAasnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAI,cAAc,MAAM,CAACD,EAAE,YAAYsnD,EAAE,IAAI1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,QAAQ1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,IAAI,gBAAgB,MAAM,CAACE,EAAE,cAAcsnD,EAAE,KAAK1nD,EAAE,EAAEE,CAAC,EAAEwnD,EAAE,KAAK1nD,EAAE,EAAEE,CAAC,CAAC,CAAC,EAAE,QAAQ,MAAM,UAAU,aAAaF,EAAE,uBAAuB,CAAC,CAAC,EAAE,SAAS2tD,GAAG3tD,EAAE,EAAEE,EAAEE,EAAEC,EAAE3C,EAAE,CAAC,IAAI,GAAG,CAAC,EAAEqE,EAAEC,IAAI,CAAC,OAAO,EAAE,SAAS,CAAC,IAAI,aAAa,OAAO3B,EAAE,IAAIqrD,GAAG,EAAE3pD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIsrD,GAAG,EAAE5pD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAOsqD,GAAG,EAAEvqD,EAAEC,CAAC,EAAE,IAAI,cAAc,OAAO3B,EAAE,IAAImsD,GAAG,EAAEzqD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAIosD,GAAG,EAAE1qD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO2qD,GAAG,EAAE5qD,EAAEC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIusD,GAAG,EAAE7qD,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAI2sD,GAAG,EAAEjrD,EAAEC,CAAC,CAAC,EAAE,IAAI,QAAQ,OAAO3B,EAAE,IAAIwsD,GAAG,EAAE9qD,EAAEC,CAAC,CAAC,EAAE,IAAI,UAAU,OAAO3B,EAAE,IAAI4sD,GAAG,EAAElrD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAI6sD,GAAG,EAAEnrD,EAAEC,CAAC,CAAC,EAAE,IAAI,gBAAgB,OAAO3B,EAAE,IAAI8sD,GAAG,EAAEprD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAI+sD,GAAG,EAAErrD,EAAEC,CAAC,CAAC,EAAE,IAAI,YAAY,OAAO3B,EAAE,IAAIgtD,GAAG,EAAEtrD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO3B,EAAE,IAAIitD,GAAG,EAAEvrD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIktD,GAAG,EAAExrD,EAAEC,CAAC,CAAC,EAAE,IAAI,WAAW,OAAO3B,EAAE,IAAImtD,GAAG,EAAEzrD,EAAEC,CAAC,CAAC,EAAE,IAAI,SAAS,OAAO3B,EAAE,IAAIotD,GAAG,EAAE1rD,EAAEC,CAAC,CAAC,EAAE,IAAI,iBAAiB,OAAO3B,EAAE,IAAIqtD,GAAG,EAAE3rD,EAAEC,CAAC,CAAC,EAAE,IAAI,aAAa,OAAO+qD,GAAG,EAAEhrD,EAAEC,EAAE5B,CAAC,EAAE,IAAI,SAAS,IAAI6B,EAAEwlD,GAAG,EAAE,EAAE,EAAE,GAAGxlD,GAAGA,EAAE,eAAe,OAAOA,EAAE,eAAe,IAAIupD,GAAG,EAAEzpD,EAAEC,CAAC,CAAC,EAAE,MAAM,UAAU,aAAa,EAAE,uBAAuB,EAAE,QAAQ,MAAM,UAAU,eAAe,EAAE,uIAAuI,CAAC,CAAC,GAAGhC,EAAE,EAAEE,CAAC,EAAE,OAAO1B,EAAE,UAAU,CAAC,EAAE,EAAE,KAAK,GAAG,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,IAAIovD,GAAG,KAAK,CAAC,YAAYhtD,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEG,EAAE,CAAC,EAAE,CAAC,KAAK,UAAUO,EAAE,KAAK,eAAeV,EAAE,KAAK,cAAc,EAAE,KAAK,YAAYG,EAAE,KAAK,YAAY,CAAC,GAAG,EAAE,UAAU,GAAG,YAAY,CAAC,EAAE,KAAK,SAAS,CAAC,KAAK,WAAW,EAAE,KAAK,OAAO,EAAE,KAAK,0BAA0B,CAAC,CAAC,SAASO,EAAEV,EAAE,CAAC,MAAM,CAAC,GAAGU,EAAE,UAAUV,EAAE,YAAY,CAAC,CAAC,CAAC,IAAI,eAAeU,EAAE,CAAC,KAAK,WAAWA,IAAI,KAAK,SAASA,EAAE,KAAK,0BAA0B,EAAE,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,QAAQ,CAAC,IAAI,kBAAkB,CAAC,OAAO,KAAK,mBAAmB,CAAC,CAAC,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,2BAA2B,CAAC,IAAIA,EAAE,CAAC,EAAE,QAAQV,EAAE,EAAEA,EAAE,KAAK,SAAS,OAAO,EAAEA,IAAI,CAAC,IAAI,EAAE,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAOA,CAAC,EAAEU,EAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAACA,EAAE,KAAK,EAAE,EAAE,KAAK,mBAAmBA,CAAC,CAAC,qBAAqBA,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIV,GAAGA,EAAE,KAAK,GAAGA,EAAE,cAAc,EAAE,GAAG,GAAGA,EAAE,aAAaA,EAAE,aAAa,EAAE,KAAK,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,OAAOA,CAAC,CAAC,EAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC,EAAE,CAAC,WAAW,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,OAAO,EAAE,EAAE,KAAK,kBAAkB,MAAM,MAAO,OAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,eAAe,CAAC,GAAG,KAAK,UAAU,KAAK,SAAS,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,SAAS,MAAM,EAAE,KAAK,SAAS,IAAIA,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,KAAK,SAAS,OAAO,CAAC,CAAC,EAAEA,EAAE,aAAa,EAAEA,EAAE,GAAG,KAAK,OAAO,KAAK,SAAS,OAAO,GAAG,EAAEA,CAAC,EAAE,KAAK,mBAAmB,OAAO,EAAE,EAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,uDAAuD,CAAC,CAAC,UAAUA,EAAE,CAAC,OAAO,KAAK,UAAUA,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC,KAAK,eAAeA,EAAE,EAAE,EAAEA,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,KAAK,eAAeA,CAAC,CAAC,CAAC,cAAcA,EAAE,CAAC,KAAK,cAAcA,EAAE,EAAE,EAAEA,CAAC,CAAC,cAAcA,EAAE,CAAC,OAAO,KAAK,cAAcA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,QAAQV,KAAK,KAAK,eAAe,KAAK,eAAeA,CAAC,EAAE,cAAcU,CAAC,EAAE,QAAQV,KAAK,KAAK,cAAc,KAAK,cAAcA,CAAC,EAAE,cAAcU,CAAC,CAAC,CAAC,EAAE,SAASitD,GAAG7tD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,IAAI,IAAI,EAAE,CAAC,EAAE,EAAE,KAAK0B,EAAE,KAAKC,EAAE,IAAI,IAAIC,EAAE,OAAO,KAAKjC,CAAC,EAAE,IAAI4C,GAAGglD,GAAGhlD,CAAC,EAAE,CAAC,CAAC,EAAEF,EAAE,CAAC,EAAEtC,GAAG,OAAOsC,EAAEtC,EAAE,IAAIwC,GAAGglD,GAAGhlD,EAAE,IAAI,EAAE,CAAC,CAAC,GAAG,IAAID,EAAE,CAAC,GAAG,CAAC,EAAE,KAAKA,EAAE,OAAO,GAAG,CAAC,IAAIC,EAAED,EAAE,IAAI,EAAE,IAAImrD,GAAGlrD,CAAC,GAAGmrD,GAAGnrD,CAAC,GAAGorD,GAAGprD,CAAC,IAAI,GAAG,OAAO,EAAEA,EAAEb,EAAE,EAAE,SAAS,IAAIc,GAAGA,EAAE,IAAI,EAAE,OAAOA,GAAGxC,EAAE,IAAIwC,CAAC,CAAC,GAAGxC,EAAE,IAAIuC,EAAE,IAAI,EAAE1C,EAAE0C,EAAE,IAAI,GAAG,MAAMX,EAAE,QAAQW,EAAE,IAAI,IAAI,IAAIF,EAAE,QAAQE,EAAE,IAAI,IAAI,GAAG,CAAC,GAAGA,EAAE,OAAO,SAAS,EAAE,CAAC,EAAE,KAAKA,EAAE,IAAI,EAAE,QAAQ,CAACA,EAAE,OAAO,QAAQC,GAAG,CAACb,EAAE,IAAIa,EAAE,IAAI,IAAIb,EAAE,IAAIa,EAAE,IAAI,EAAEF,EAAE,KAAKE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO7C,EAAE,QAAQ,EAAE,UAAUK,EAAE,cAAc,EAAE,YAAY,EAAE,WAAW0B,CAAC,CAAC,CAAC,SAASksD,GAAGjuD,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,UAAUE,EAAE,OAAOC,CAAC,EAAEH,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,KAAKG,CAAC,EAAE,IAAIqC,GAAGklD,GAAGllD,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIA,GAAG1C,EAAE,MAAM0C,CAAC,CAAC,EAAEX,EAAE/B,EAAE,UAAU,EAAE,QAAQ0C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE1C,EAAE,QAAQ,QAAQ0C,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAEX,GAAG,MAAMA,EAAE,QAAQW,GAAG,CAACtC,EAAE,IAAIsC,EAAE,IAAI,GAAG,EAAE,KAAKA,CAAC,CAAC,CAAC,EAAE,IAAIV,EAAE,IAAI,IAAIC,EAAE,CAAC,EAAE,KAAK,EAAE,OAAO,GAAG,CAAC,IAAIS,EAAE,EAAE,IAAI,EAAEV,EAAE,IAAIU,EAAE,IAAI,EAAE,EAAEA,EAAE,IAAI,GAAGT,EAAE,KAAKS,CAAC,EAAEA,EAAE,SAAS,QAAQC,GAAG,CAAC,CAACX,EAAE,IAAIW,EAAE,IAAI,GAAGvC,EAAE,IAAIuC,EAAE,IAAI,GAAGA,EAAE,OAAO,MAAMC,GAAGZ,EAAE,IAAIY,EAAE,IAAI,CAAC,GAAG,EAAE,KAAKD,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOV,CAAC,CAAC,IAAIisD,GAAG,CAAC,SAAS,QAAQ,QAAQ,OAAO,gBAAgB,cAAc,iBAAiB,KAAK,OAAO,EAAEC,GAAG,CAAC,sBAAsB,sBAAsB,sBAAsB,OAAO,EAAEC,GAAG,CAAC,YAAY,cAAc,oBAAoB,sBAAsB,kBAAkB,oBAAoB,kBAAkB,mBAAmB,EAAE,SAASN,GAAG9tD,EAAE,CAAC,OAAOkuD,GAAG,QAAQluD,EAAE,EAAE,GAAG,CAAC,CAAC,SAAS+tD,GAAG/tD,EAAE,CAAC,OAAOmuD,GAAG,QAAQnuD,EAAE,EAAE,GAAG,CAAC,CAAC,SAASguD,GAAGhuD,EAAE,CAAC,OAAOouD,GAAG,QAAQpuD,EAAE,EAAE,GAAG,CAAC,CAAC,IAAIquD,GAAG,KAAK,CAAC,YAAYztD,EAAEV,EAAE,CAAC,KAAK,MAAMU,EAAE,KAAK,OAAOV,EAAE,KAAK,YAAY,IAAI,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,UAAU,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,qBAAqB,CAAC,EAAE,KAAK,wBAAwB,GAAG,KAAK,SAASU,EAAE,QAAQ,KAAK,QAAQA,EAAE,OAAO,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAU,KAAK,WAAWA,EAAE,UAAUA,EAAE,WAAW,MAAM,OAAO,KAAKA,EAAE,SAAS,EAAE,QAAQ,GAAG,CAAC,KAAK,qBAAqB,CAAC,EAAE,IAAIytD,GAAGztD,EAAE,UAAU,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,qBAAqB,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,oBAAoB,KAAK,oBAAoB,CAAC,IAAI,WAAW,CAAC,OAAO,KAAK,OAAO,KAAK,OAAO,UAAU,KAAK,UAAU,CAAC,IAAI,UAAUA,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAKU,CAAC,EAAE,IAAI,GAAGA,EAAE,CAAC,EAAE,IAAIP,GAAGA,EAAE,EAAE,CAAC,EAAE,KAAK,WAAW,CAAC,EAAE,OAAO,GAAGH,CAAC,EAAE,KAAK,WAAWU,CAAC,CAAC,IAAI,gBAAgBA,EAAE,CAAC,KAAK,iBAAiBA,CAAC,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,QAAQ,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,IAAIA,IAAI,CAAC,KAAKA,EAAE,KAAK,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,OAAO,MAAMA,EAAE,WAAW,MAAMA,EAAE,WAAW,MAAM,MAAM,MAAM,EAAE,CAAC,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,QAAQ,IAAIA,GAAGA,EAAE,cAAcA,EAAE,IAAI,CAAC,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,IAAIA,GAAG,CAAC,IAAIV,EAAEU,EAAE,cAAcA,EAAE,KAAK,OAAOA,EAAE,cAAc,GAAGV,KAAKU,EAAE,gBAAgBV,CAAC,CAAC,CAAC,CAAC,IAAI,WAAW,CAAC,OAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAACU,EAAEV,KAAKU,EAAEV,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,UAAUU,GAAG,CAAC,CAAC,CAAC,CAAC,kBAAkBA,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,IAAIiB,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAExB,EAAEH,EAAE,IAAI2B,GAAGA,EAAE,IAAI,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,KAAK,SAAS,EAAE,KAAKxB,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,IAAI,EAAE2tD,GAAGjtD,EAAEV,EAAE,KAAK,UAAU,KAAK,UAAU,EAAE,CAAC,cAAcG,EAAE,YAAYwB,EAAE,WAAWC,CAAC,EAAE,EAAE,GAAGD,GAAG,KAAK,MAAM,IAAI,MAAM,qCAAqCA,EAAE,oCAAoCA,EAAE,8GAA8GC,IAAI,EAAE,GAAGzB,EAAE,OAAO,EAAE,CAAC,IAAI0B,EAAE7B,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE8B,EAAE,OAAO,KAAKpB,CAAC,EAAE,MAAM,IAAI,MAAM,+BAA+BmB,gCAAgCC,sCAAsC3B,IAAI,CAAC,CAAC,OAAO4tD,GAAG,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC,CAAC,mBAAmBrtD,EAAE,CAAC,GAAGA,GAAG,KAAK,OAAO,KAAK,IAAIV,EAAEU,EAAE,MAAM,EAAE,OAAOxM,GAAG8L,CAAC,EAAEA,CAAC,CAAC,gBAAgBU,EAAE,CAAC,OAAOA,EAAEA,EAAE,IAAIR,GAAG,KAAK,mBAAmBA,CAAC,CAAC,EAAE,IAAI,CAAC,eAAeQ,EAAE,CAAC,OAAO,OAAO,YAAY,OAAO,QAAQA,CAAC,EAAE,IAAI,CAAC,CAACV,EAAE,CAAC,IAAI,CAACA,EAAE,KAAK,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQU,EAAEV,EAAE,CAAC,KAAK,2BAA2B,EAAEU,EAAE,KAAK,UAAUA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAKA,CAAC,EAAE,KAAK,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEV,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,EAAE,IAAIG,EAAE,EAAE,IAAI,GAAG,KAAK,MAAM,MAAMunD,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE/lD,EAAE3B,EAAE,IAAI,GAAG0nD,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE9lD,EAAED,EAAE,IAAI,GAAG,KAAK,MAAM,MAAM,CAAC,CAAC,EAAEC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,IAAIC,EAAE,KAAK,kBAAkB1B,EAAEyB,CAAC,EAAEE,EAAE,KAAK,YAAY,IAAID,CAAC,EAAEC,GAAG,OAAOA,EAAE,KAAK,QAAQpB,EAAEkB,CAAC,EAAE,KAAK,YAAY,IAAIC,EAAEC,CAAC,GAAG,GAAG,CAAC,KAAK,wBAAwBpQ,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAO,EAAN,CAAS,KAAK,wBAAwB,GAAG,QAAQ,KAAK,EAAE,OAAO,CAAC,CAAC,IAAI,EAAE,CAAC,EAAE8Q,EAAE,CAAC,EAAE,OAAOhF,EAAE,IAAI,CAAC,IAAI,EAAE,IAAIkwD,GAAG,KAAK,UAAU,EAAElrD,EAAE,KAAK,mBAAmB,EAAEE,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,KAAK,0BAA0B,KAAK,iBAAiB,KAAK,eAAe,KAAK,SAAS,GAAG,OAAO,KAAKhC,CAAC,EAAE,QAAQoD,GAAG,CAAC,GAAG,CAACC,EAAEqD,CAAC,EAAEsgD,GAAG5jD,CAAC,EAAEc,EAAE,CAAC,EAAEA,EAAEwC,CAAC,EAAE1G,EAAEoD,CAAC,EAAEpB,EAAEqB,CAAC,EAAEa,EAAE,KAAK,0BAA0B,KAAK,iBAAiBb,CAAC,EAAE,KAAK,gBAAgBa,CAAC,EAAE,CAAC,EAAE,IAAIjC,EAAE,KAAK,mBAAmBD,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,CAAC,EAAE,GAAG,CAACpB,EAAEqB,EAAE,IAAI,EAAE,CAAC,IAAIqD,EAAEqmD,GAAG1pD,EAAErB,EAAE,EAAE,KAAK,gBAAgB,EAAE,GAAGpE,EAAE,UAAU8I,CAAC,EAAE,MAAM,IAAI,MAAM,4BAA4BrD,EAAE,kEAAkE,EAAErB,EAAEqB,EAAE,IAAI,EAAEqD,EAAE,KAAK,0BAA0B,KAAK,iBAAiBrD,EAAE,IAAI,EAAE,KAAK,gBAAgBqD,CAAC,GAAG,KAAK,uBAAuBrD,EAAE,KAAKA,EAAErB,EAAE,EAAEC,EAAEhB,EAAEiB,CAAC,CAAC,CAAC,CAAC,OAAO,KAAK,QAAQ,MAAM,EAAE,QAAQD,CAAC,EAAE3C,EAAE,IAAI8D,GAAG2jD,GAAG3jD,EAAEpB,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,mBAAmBhC,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,OAAO,MAAM,CAAC,EAAE,OAAO,KAAKU,CAAC,EAAE,IAAI,GAAGA,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,EAAE,IAAIP,GAAGA,EAAE,EAAE,CAAC,CAAC,EAAE,OAAO,IAAI,IAAIH,CAAC,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,CAAC7B,EAAE,WAAW,WAAW4B,EAAE,QAAQlB,CAAC,IAAI,KAAK,EAAEA,CAAC,EAAE,QAAQoB,GAAG,CAACA,GAAG,OAAOD,EAAEC,EAAE,EAAE,GAAGD,EAAEC,EAAE,EAAE,GAAG,GAAG9B,EAAE,SAAS,OAAO,CAAC,EAAEA,EAAE,OAAO,QAAQ8B,GAAG,CAAC,GAAGA,EAAE,WAAW,UAAU,CAAC,IAAI,EAAE8lD,GAAG9lD,EAAE,KAAK,EAAE3B,CAAC,EAAE,GAAG,MAAM,EAAE,QAAQqC,GAAG,CAAC,GAAGA,GAAG,CAACA,EAAE,MAAM,CAACb,EAAE,IAAIa,EAAE,EAAE,EAAE,CAAC,IAAI,EAAEX,EAAEW,EAAE,EAAE,EAAE,IAAI,GAAGA,EAAE,QAAQ,EAAE,OAAOX,EAAEW,EAAE,EAAE,GAAG,GAAG,MAAMX,EAAEW,EAAE,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,aAAa9B,EAAEV,EAAE,CAAC,OAAO,KAAK,cAAcU,EAAEV,CAAC,CAAC,CAAC,4BAA4B,CAAC,KAAK,mBAAmB,OAAO,OAAO,KAAK,gBAAgB,EAAE,QAAQU,GAAG,CAAC,QAAQV,KAAKU,EAAEV,GAAG,CAACA,EAAE,YAAYA,EAAE,QAAQ,CAAC,CAAC,EAAE,KAAK,iBAAiB,KAAK,CAAC,wBAAwB,CAAC,OAAO,KAAK,gBAAgB,CAAC,MAAM,cAAcU,EAAEV,EAAE,EAAE,GAAGG,EAAE,CAAC,EAAEwB,EAAE,CAAC,EAAE,CAAC,KAAK,2BAA2B,EAAE,IAAIjB,EAAE,KAAK,UAAUA,CAAC,EAAE,KAAK,YAAYA,CAAC,EAAE,KAAK,uBAAuBA,CAAC,EAAEV,EAAE,KAAK,WAAWA,CAAC,EAAE,KAAK,aAAaA,CAAC,GAAG,GAAG,CAAC,KAAK,wBAAwBtO,EAAE,EAAE,QAAQ,2BAA2B,CAAC,OAAOgR,EAAN,CAAS,KAAK,wBAAwB,GAAG,QAAQ,KAAKA,EAAE,OAAO,CAAC,CAAC,IAAId,EAAE,IAAI8rD,GAAG,KAAK,UAAUvtD,EAAEwB,EAAE,KAAK,mBAAmB,EAAE,KAAK,0BAA0B,KAAK,iBAAiB,KAAK,eAAe,KAAK,SAAS,GAAG,IAAIE,EAAE,MAAM,KAAK,uBAAuBnB,EAAEkB,EAAE5B,EAAE,CAAC,EAAE8B,EAAE9B,EAAE,IAAI0C,GAAG+kD,GAAG/kD,EAAEb,EAAED,CAAC,CAAC,EAAE,EAAEE,EAAE,IAAIY,GAAGA,EAAE,EAAE,EAAEF,EAAE,OAAO,KAAK9B,CAAC,EAAE,IAAIgC,GAAGhC,EAAEgC,CAAC,EAAE,EAAE,EAAE,EAAE,IAAI,IAAI,CAAC,GAAG,EAAE,GAAGF,EAAE,GAAG,KAAK,SAAS,CAAC,EAAE,OAAO,OAAO,OAAOX,CAAC,EAAE,QAAQa,GAAG,CAACA,EAAE,QAAQC,GAAG,CAACA,GAAG,CAACA,EAAE,YAAY,CAAC,EAAE,IAAIA,EAAE,EAAE,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,QAAQ,MAAMf,EAAE,QAAQ,CAAC,EAAEE,CAAC,CAAC,MAAM,qBAAqBpB,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEO,EAAE,OAAO,CAACiB,EAAEC,EAAEC,KAAKF,EAAE,KAAK,OAAOE,CAAC,EAAE,IAAI,EAAED,EAAED,GAAG,CAAC,CAAC,EAAE,OAAO,KAAK,cAAcxB,EAAE,KAAK,YAAY,GAAGH,EAAE,CAAC,CAAC,CAAC,MAAM,uBAAuBU,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAE,OAAO,KAAKjB,CAAC,EAAEkB,EAAED,EAAE,IAAI4C,GAAG,KAAK,MAAM,MAAMmjD,GAAGnjD,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE1C,EAAE,EAAE,IAAI0C,GAAGmjD,GAAGnjD,CAAC,EAAE,CAAC,CAAC,EAAEzC,EAAED,EAAE,IAAI0C,GAAG,KAAK,MAAM,MAAMA,CAAC,CAAC,EAAEzC,EAAE,SAAS,IAAIA,EAAE,KAAK,UAAU,GAAG,CAAC,UAAU,EAAE,cAAcU,EAAE,YAAY,EAAE,WAAWE,CAAC,EAAEirD,GAAGjtD,EAAEoB,EAAE,KAAK,UAAU,KAAK,UAAU,EAAEa,EAAE,CAAC,GAAGf,EAAE,GAAG,KAAK,MAAM,QAAQ,GAAG,KAAK,YAAY,CAAC,CAAC,EAAE,IAAI2C,IAAI,CAAC,KAAKA,EAAE,SAASvE,EAAE,cAAc,EAAE,EAAE4C,EAAE,OAAO,OAAO,CAAC,EAAE,KAAK,SAAS,EAAE,OAAO,KAAKlC,CAAC,EAAE,QAAQ6D,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEijD,GAAGnjD,CAAC,EAAEG,EAAE,CAAC,EAAEA,EAAED,CAAC,EAAE/D,EAAE6D,CAAC,EAAE3B,EAAE4B,CAAC,EAAEE,CAAC,CAAC,EAAE,IAAIZ,EAAE,CAAC,EAAEC,EAAE,KAAK,mBAAmBnB,CAAC,EAAEwE,EAAE,CAAC,EAAE,KAAKzE,EAAE,OAAO,GAAG,CAAC,IAAI4B,EAAE,KAAK,aAAa3C,EAAEe,EAAE3C,EAAE4C,EAAEwE,EAAErD,EAAElC,EAAEiC,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAIS,CAAC,CAAC,CAAC,GAAG,MAAM,CAACpE,GAAG,QAAQ,KAAK,iIAAiI,EAAE,IAAIyE,EAAE9C,EAAE,OAAOyC,GAAG,CAACqpD,GAAGrpD,CAAC,GAAG,CAACkjD,GAAGljD,EAAE,KAAK3B,EAAE5C,CAAC,CAAC,EAAE,IAAIuE,GAAGA,EAAE,IAAI,EAAE,GAAGK,EAAE,OAAO,EAAE,CAAC,IAAIL,EAAE,GAAG,MAAM,GAAG,OAAOA,EAAE,wFAAwF7B,MAAM,IAAI,MAAM,+BAA+BkC,gCAAgCjD,iDAAiDa,OAAO+B,GAAG,CAAC,CAAC,OAAO3B,CAAC,CAAC,aAAalC,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAE,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAKxC,EAAE,OAAO,GAAG,CAAC,IAAI,EAAEA,EAAE,IAAI,EAAE,EAAE,eAAe,EAAE,SAAS,IAAI0C,EAAE,GAAG,GAAG,EAAE,KAAK,KAAK,SAAS8kD,EAAE,aAAa,EAAE,KAAKrnD,EAAE,CAAC,IAAI,CAACuC,CAAC,EAAEmlD,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG1nD,EAAE,EAAE,KAAK,IAAI,GAAG,KAAK,CAAC,IAAIwC,EAAE8qD,GAAG,EAAE,KAAKttD,EAAE,EAAE,KAAK,gBAAgB,EAAEuC,IAAI,CAACA,CAAC,EAAEmlD,GAAG,EAAE,KAAK,KAAK,CAAC,GAAG,IAAIjlD,EAAE,EAAE,eAAetE,EAAE,UAAUqE,CAAC,EAAEH,EAAE,KAAKG,EAAE,KAAKmB,IAAI3D,EAAEuC,CAAC,EAAEoB,EAAE,KAAK,0BAA0B,KAAK,iBAAiBpB,CAAC,EAAE,KAAK,gBAAgBoB,CAAC,GAAG,EAAE,eAAelB,EAAE,KAAK,uBAAuBF,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAK9B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,EAAEmC,EAAE,CAAC,GAAG3D,EAAEuC,CAAC,EAAEC,EAAE,KAAK,0BAA0B,KAAK,iBAAiBD,CAAC,EAAE,KAAK,gBAAgBC,CAAC,GAAG,KAAK,uBAAuBD,EAAE,EAAE,KAAKvC,EAAE,EAAEyB,EAAEC,EAAEC,CAAC,EAAE,KAAK,kBAAkB,EAAE,KAAK9B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,EAAE,MAAM,KAAK,kBAAkB,EAAE,KAAK3B,EAAE,EAAEG,EAAEwB,EAAE,CAAC,CAAC,CAAC,OAAOa,CAAC,CAAC,kBAAkB9B,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAClB,EAAE,SAAS,QAAQmB,GAAG,CAAC,GAAG,CAACC,CAAC,EAAE+lD,GAAGhmD,EAAE,KAAK,CAAC,EAAEF,EAAEG,CAAC,GAAG,CAACF,EAAE,IAAIC,EAAE,IAAI,IAAIA,EAAE,KAAK,QAAQA,EAAE,WAAW,KAAK,GAAG,CAAC,CAAC4lD,GAAG,EAAEtnD,EAAE,CAAC,CAAC,IAAIwB,EAAEG,CAAC,EAAE,GAAG9B,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK6B,CAAC,CAAC,GAAGA,EAAE,WAAW,MAAM,GAAG,CAAC,CAAC4lD,GAAG,EAAEtnD,EAAE,CAAC,CAAC,IAAIwB,EAAEG,CAAC,EAAE,GAAG9B,EAAE,KAAK,CAAC,SAAS,EAAE,eAAe,KAAK6B,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,SAAS,EAAE,QAAQnB,GAAG,KAAK,UAAUA,CAAC,EAAE,QAAQV,GAAGA,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,uBAAuBU,EAAE,CAAC,OAAO,KAAKA,CAAC,EAAE,QAAQV,GAAG,CAAC,IAAI,EAAEU,EAAEV,CAAC,EAAE,CAACG,CAAC,EAAEunD,GAAG1nD,CAAC,EAAE2B,EAAE,KAAK,MAAM,MAAMxB,CAAC,EAAE,GAAGwB,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,MAAM,CAAC,IAAIC,EAAED,EAAE,WAAW,MAAM,MAAME,EAAED,EAAE,SAAS,EAAE,MAAM,QAAQ,EAAE,MAAM,MAAM,CAACE,EAAE,IAAIF,EAAE,CAAC,IAAI,IAAIA,EAAE,CAAC,IAAIE,CAAC,EAAExD,EAAE,OAAOuD,EAAE,IAAI,sBAAsBF,EAAE,mDAAmDC,gBAAgB,EAAE,QAAQ,CAAC,CAACD,EAAE,WAAW,OAAOA,EAAE,WAAW,MAAM,OAAOrD,EAAE,OAAO,EAAE,QAAQqD,EAAE,WAAW,MAAM,MAAM,IAAI,sBAAsBA,EAAE,kDAAkDA,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,UAAUjB,EAAE,CAAC,IAAIV,EAAE,EAAE,IAAIG,EAAE,CAAC,EAAE,QAAQwB,KAAKjB,EAAE,CAAC,IAAIkB,GAAG,GAAG5B,EAAE,KAAK,cAAc,MAAMA,IAAI,OAAO,OAAOA,EAAE,UAAU,MAAM,IAAI,OAAO,OAAO,EAAE2B,CAAC,EAAEC,GAAG,KAAKzB,EAAEyB,EAAE,IAAI,EAAElB,EAAEiB,CAAC,EAAExB,EAAEwB,CAAC,EAAEjB,EAAEiB,CAAC,CAAC,CAAC,OAAOxB,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAE,OAAO,KAAKU,CAAC,EAAE,OAAO,GAAG,CAAC,GAAG,CAACP,CAAC,EAAEunD,GAAG,CAAC,EAAE,OAAO,KAAK,MAAM,MAAMvnD,CAAC,GAAG,IAAI,CAAC,EAAE,GAAGH,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,uDAAuDA,+BAA+B,CAAC,CAAC,WAAWU,EAAE,CAAC,OAAOA,EAAE,IAAIV,GAAG,CAAC,IAAI,EAAEG,EAAE,IAAIwB,GAAGxB,GAAG,EAAE,KAAK,cAAc,MAAM,IAAI,OAAO,OAAO,EAAE,WAAW,MAAMA,IAAI,OAAO,OAAOA,EAAEH,CAAC,EAAE,OAAO2B,GAAG,KAAKA,EAAE,KAAK3B,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,aAAaU,EAAE,CAACA,EAAE,QAAQV,GAAG,CAAC,GAAG,CAAC,CAAC,EAAE0nD,GAAG1nD,CAAC,EAAE,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,eAAeA,8BAA8B,CAAC,CAAC,CAAC,CAAC,EAAMouD,GAAG,KAAK,CAAC,YAAY1tD,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,CAAC,KAAK,sBAAsBU,EAAE,KAAK,aAAaV,CAAC,CAAC,aAAaU,EAAEV,EAAE,CAAC,KAAK,sBAAsBU,CAAC,EAAEV,EAAE,OAAO,KAAK,aAAaA,EAAE,EAAE,EAAEA,CAAC,CAAC,yBAAyBU,EAAE,CAAC,OAAO,KAAK,sBAAsBA,CAAC,CAAC,CAAC,iBAAiBA,EAAE,CAAC,OAAO,KAAK,aAAaA,CAAC,CAAC,CAAC,SAAS,CAAC,QAAQA,KAAK,KAAK,aAAa,KAAK,aAAaA,CAAC,EAAE,cAAc,EAAE,OAAO,KAAK,aAAaA,CAAC,EAAE,QAAQA,KAAK,KAAK,sBAAsB,KAAK,sBAAsBA,CAAC,EAAE,QAAQ,EAAE,OAAO,KAAK,sBAAsBA,CAAC,CAAC,CAAC,EAAM2tD,GAAG,oBAAoBC,GAAG,aAAazpE,GAAG,KAAK,CAAC,YAAY6b,EAAEV,EAAE,CAAC,EAAE,EAAEnM,GAAG,CAAC,KAAK,SAAS6M,EAAE,KAAK,YAAYV,EAAE,KAAK,QAAQ,MAAM,KAAK,GAAG,EAAEA,GAAG,OAAO,KAAK,YAAY,CAAC,GAAG,KAAK,gBAAgB,IAAIouD,EAAE,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,OAAO,CAAC,IAAI,YAAY,CAAC,OAAO,KAAK,SAAS,UAAU,CAAC,IAAI,aAAa,CAAC,OAAO,KAAK,SAAS,WAAW,CAAC,IAAI,QAAQ,CAAC,OAAO,KAAK,SAAS,MAAM,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,OAAO,CAAC,IAAI,SAAS,CAAC,OAAO,KAAK,SAAS,SAAS,CAAC,IAAI,UAAU,CAAC,OAAO,KAAK,UAAU,mBAAmB,CAAC,IAAI,gBAAgB,CAAC,OAAO,KAAK,SAAS,CAAC,IAAI,2BAA2B,CAAC,OAAO,KAAK,oBAAoB,CAAC,eAAe,CAAC,IAAI1tD,EAAE,KAAK,SAAS,GAAGA,EAAE,MAAM,KAAK,KAAK,QAAQA,UAAU,KAAK,YAAY,aAAa,KAAK,KAAK,QAAQ,KAAK,GAAG,mBAAmBA,EAAE,KAAK,WAAW,MAAM,CAAC,IAAIV,EAAE,KAAK,GAAG,gBAAgBU,EAAE,KAAK,WAAW,EAAE,GAAGV,EAAE,SAAS,EAAEA,EAAE,KAAK,KAAK,GAAG,mBAAmBU,EAAE,KAAK,WAAW,CAAC,UAAUV,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwBA,EAAE,kCAAkC,CAACU,CAAC,IAAI,EAAE,KAAK,QAAQV,EAAE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG,KAAK,cAAc,EAAE,KAAK,QAAQ,MAAM,KAAK,MAAM,IAAI,MAAM,+GAA+G,EAAE,IAAIU,EAAE,KAAK,QAAQ,KAAK,EAAE,OAAOpC,EAAE,UAAUoC,CAAC,EAAEA,EAAE,KAAKV,GAAG,KAAK,SAASA,CAAC,CAAC,EAAE,KAAK,SAASU,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,KAAK,UAAUA,EAAE,IAAIV,EAAE,KAAK,UAAU,cAAc,EAAE,KAAK,UAAU,UAAU,GAAG,KAAK,UAAU,qBAAqB,KAAK,CAAC,IAAI2B,EAAE,KAAK,UAAU,oBAAoBA,EAAE,WAAW,OAAO,EAAEA,EAAE,WAAWA,EAAE,sBAAsB,OAAO,KAAK,qBAAqBA,EAAE,qBAAqB,CAAC,KAAK,UAAU,EAAE,KAAK,QAAQ,GAAG3B,EAAE,SAAS,YAAYA,EAAE,SAAS,cAAc,IAAIG,EAAE,KAAK,GAAG,cAAc,KAAK,UAAU,WAAW,KAAK,UAAU,WAAW,EAAE,GAAG,KAAK,SAAS,IAAIguD,GAAG7D,GAAG,SAAS,eAAetqD,EAAE,KAAK,SAAS,CAAC,EAAE,KAAK,SAAS,UAAU,KAAK,6BAA6BG,CAAC,EAAE,KAAK,SAAS,gBAAgB,KAAK,gBAAgBO,EAAE,kBAAkB,MAAMA,EAAE,iBAAiB,MAAM,KAAK,CAAC,IAAIiB,EAAE2oD,GAAG,SAAS,eAAe5pD,EAAE,gBAAgB,EAAE,KAAK,YAAY,IAAIytD,GAAGxsD,CAAC,EAAE,KAAK,YAAY,UAAU,KAAK,SAAS,UAAU,KAAK,YAAY,gBAAgB,KAAK,gBAAgB,KAAK,qBAAqBjB,EAAE,oBAAoB,CAAC,MAAM,EAAE,CAAC,MAAM,KAAKA,EAAEV,EAAE,CAAC,GAAG,OAAOU,GAAG,SAAS,CAAC,IAAI,EAAE,KAAK,GAAG,gBAAgBA,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0CA,IAAI,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkCA,IAAI,EAAEA,EAAE,EAAE,CAAC,CAAC,CAAC,GAAGA,EAAE,MAAM,KAAK,MAAM,IAAI,MAAM,6GAA6G,EAAE,OAAOA,EAAE,KAAK,KAAK,SAAS,CAAC,CAAC,yBAAyBA,EAAE,CAAC,GAAG,KAAK,qBAAqB,CAAC,IAAIV,EAAEU,aAAa1U,GAAG,CAAC0U,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAE,OAAOV,EAAE,QAAQ,CAACG,EAAEwB,IAAI,EAAE,KAAK,qBAAqBA,CAAC,CAAC,EAAExB,CAAC,EAAE,CAAC,CAAC,OAAOO,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQU,EAAE,KAAK,WAAW,EAAE,OAAO,KAAK,yBAAyB,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAEV,EAAE,CAAC,IAAI,EAAE,MAAM,KAAK,aAAaU,EAAE,KAAK,WAAW,EAAE,OAAO,KAAK,yBAAyB,CAAC,CAAC,CAAC,gBAAgBA,EAAE,CAAC,IAAIV,EAAE,GAAG,EAAEU,aAAa1U,KAAK,CAAC,MAAM,QAAQ0U,CAAC,EAAE,CAAC,IAAIiB,GAAG3B,EAAE,KAAK,aAAa,MAAMA,IAAI,OAAO,OAAOA,EAAE,OAAO,GAAG2B,GAAG,KAAK,QAAQC,KAAKD,EAAE,CAAC,IAAIE,EAAEF,EAAEC,CAAC,EAAEC,EAAE,YAAY,OAAOnB,EAAEkB,CAAC,EAAE,KAAK,0BAA0BC,EAAE,UAAU,EAAE,CAAC,OAAOnB,CAAC,CAACA,EAAE,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,EAAE,IAAI,EAAE,OAAO,KAAK,KAAK,yBAAyB,EAAE,OAAO,GAAGA,EAAE,OAAO,IAAI,KAAK,WAAW,OAAO,MAAM,IAAI,MAAM,oDAAoD,KAAK,WAAW,OAAO,gDAAgDA,EAAE,gCAAgC,EAAE,IAAIP,EAAE,EAAE,OAAO,KAAK,WAAW,OAAO,CAACwB,EAAEC,IAAI,CAAC,IAAIC,EAAEC,EAAE,EAAE,IAAIU,GAAG,GAAGV,GAAGD,EAAE,KAAK,aAAa,MAAMA,IAAI,OAAO,OAAOA,EAAE,UAAU,MAAMC,IAAI,OAAO,OAAOA,EAAEF,CAAC,KAAK,MAAM,IAAI,OAAO,OAAO,EAAE,WAAW,OAAOY,GAAG,KAAKb,EAAEC,CAAC,EAAE,KAAK,0BAA0BY,CAAC,EAAEb,EAAEC,CAAC,EAAElB,EAAEP,GAAG,EAAEwB,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,iBAAiBjB,EAAE,CAAC,OAAOA,EAAEA,GAAG,KAAK,YAAY,MAAM,QAAQA,CAAC,EAAEA,EAAE,CAACA,CAAC,CAAC,CAAC,yBAAyB,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,QAAQ,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,MAAM,8BAA8B,CAAC,OAAO,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,sBAAsB,KAAK,KAAK,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY,aAAa,CAAC,EAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC,CAAC,CAAC,6BAA6BA,EAAE,CAAC,GAAG,KAAK,0BAA0B,CAAC,EAAE,KAAK,qBAAqB,CAAC,IAAIV,EAAE,KAAK,qBAAqB,QAAQ,EAAE,OAAO,KAAKA,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIwB,EAAE,EAAExB,CAAC,EAAEyB,EAAE5B,EAAE2B,CAAC,EAAE,KAAK,0BAA0BC,EAAE,UAAU,EAAElB,EAAEP,CAAC,CAAC,CAAC,CAAC,CAAC,QAAQO,EAAEV,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,KAAK,wBAAwB,CAAC,EAAEU,EAAE,KAAK,gBAAgBA,CAAC,EAAEV,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS,QAAQU,EAAEV,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,MAAM,aAAaU,EAAEV,EAAE,CAAC,KAAK,2BAA2B,MAAM,KAAK,6BAA6B,MAAM,KAAK,6BAA6B,CAAC,EAAEU,EAAE,KAAK,gBAAgBA,CAAC,EAAEV,EAAE,KAAK,iBAAiBA,CAAC,EAAE,IAAI,EAAE,MAAM,KAAK,SAAS,aAAaU,EAAEV,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,EAAE,EAAE,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,SAAS,uBAAuB,CAAC,CAAC,4BAA4B,CAAC,KAAK,SAAS,2BAA2B,CAAC,CAAC,6BAA6BU,EAAE,CAAC,OAAO,OAAO,KAAKA,CAAC,EAAE,OAAO,CAACV,EAAE,KAAKA,EAAE,CAAC,EAAE,CAACU,EAAE,CAAC,CAAC,EAAEV,GAAG,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,KAAK,SAAS,QAAQ,EAAE,KAAK,cAAc,KAAK,YAAY,QAAQ,EAAE,KAAK,2BAA2BlP,GAAG,KAAK,yBAAyB,GAAG,KAAK,gBAAgB,QAAQ,CAAC,CAAC,EAAE,eAAe4D,GAAGoL,EAAE,EAAE,CAAC,EAAEE,EAAEnM,GAAG,CAAC,GAAGiM,GAAG,KAAK,MAAM,IAAI,MAAM,wGAAwG,EAAE,GAAG,OAAO,EAAE,CAAC,GAAG,EAAE,WAAW,OAAOA,GAAG,WAAWA,EAAEyuD,GAAGzuD,CAAC,GAAG,IAAII,EAAE,IAAIrb,GAAGib,EAAE,EAAEE,CAAC,EAAE,OAAO,MAAME,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASvL,GAAGmL,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,MAAM,sHAAsH,EAAE,IAAI,EAAE,GAAGA,aAAa,MAAM,CAAC,GAAG,CAACI,EAAEC,CAAC,EAAEL,EAAE,GAAG,CAACI,EAAE,MAAM,IAAI,MAAM,kDAAkD,EAAE,GAAG,CAACC,GAAG,EAAEA,aAAa,aAAa,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAG,EAAE,kBAAkBD,GAAG,MAAM,IAAI,MAAM,uCAAuC,EAAE,GAAG,EAAE,oBAAoBA,GAAG,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAI,EAAErM,GAAG,eAAeqM,EAAE,eAAe,EAAE,EAAErM,GAAG,6BAA6BqM,EAAE,EAAEC,CAAC,EAAE,EAAEtM,GAAG,eAAe,CAAC,CAAC,SAAS,SAASiM,EAAE,EAAEA,UAAU,kBAAkBA,GAAG,gBAAgBA,GAAG,eAAeA,EAAE,EAAEjM,GAAG,eAAeiM,CAAC,MAAO,OAAM,IAAI,MAAM,sBAAsB,EAAE,IAAIE,EAAE,IAAInb,GAAG,CAAC,EAAE,OAAOmb,EAAE,KAAK,EAAEA,CAAC,CAAC,SAASuuD,GAAGzuD,EAAE,CAAC,OAAOA,EAAE,SAAS,GAAG,IAAIA,EAAEA,EAAE,KAAK,GAAGA,IAAIwuD,KAAKD,IAAI,CAAC,IAAIzvD,GAAG,QAAYxO,GAAG,CAAC,EAAE2P,GAAG3P,GAAG,CAAC,WAAW,IAAIo+D,GAAG,QAAQ,IAAIC,GAAG,eAAe,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,cAAc,IAAIC,GAAG,MAAM,IAAIC,GAAG,IAAI,IAAIC,GAAG,KAAK,IAAIC,GAAG,UAAU,IAAIC,GAAG,WAAW,IAAIC,GAAG,aAAa,IAAIC,GAAG,OAAO,IAAIC,GAAG,IAAI,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAGjvD,GAAGgF,GAAG,CAAC,EAAMkqD,GAAGlvD,GAAGgF,GAAG,CAAC,EAAE,SAASmqD,GAAGzvD,EAAE,EAAE,CAAC,OAAO0vD,GAAG1vD,EAAE,CAAC,CAAC,CAAC,SAAS0vD,GAAG1vD,EAAE,EAAEE,EAAE,IAAI,IAAIE,EAAE,IAAI,IAAI,CAAC,GAAGJ,GAAG,KAAK,OAAO,KAAK,GAAG,OAAO,MAAM,YAAYA,aAAa,KAAK,OAAOA,EAAE,MAAM,EAAE,GAAGI,EAAE,IAAIJ,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,GAAGE,EAAE,IAAIF,CAAC,EAAE,OAAOE,EAAE,IAAIF,CAAC,EAAE,IAAIK,EAAE,EAAEL,CAAC,EAAE,GAAGK,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGsvD,GAAG3vD,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEI,EAAE,IAAIJ,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI+B,EAAE/B,EAAE,CAAC,EAAEgC,EAAE0tD,GAAG3tD,EAAE,EAAE7B,EAAEE,CAAC,EAAE,EAAE,CAAC,EAAE4B,CAAC,CAAC,OAAO5B,EAAE,OAAOJ,CAAC,EAAEA,EAAE,YAAY,EAAE,UAAUA,EAAE,WAAW,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOE,EAAE,IAAIF,EAAEK,EAAE,KAAK,EAAEA,EAAE,KAAK,CAAC,SAASuvD,GAAG5vD,EAAE,EAAE6vD,GAAG,CAAC,OAAOC,GAAG9vD,EAAE,CAAC,CAAC,CAAC,SAAS8vD,GAAG9vD,EAAE,EAAEE,EAAE,IAAI,IAAI,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,GAAGE,EAAE,IAAIE,CAAC,EAAE,MAAM,IAAI,MAAM,wCAAwC,EAAE,IAAIC,EAAE,EAAEL,CAAC,EAAE,GAAGK,EAAE,SAASA,EAAE,QAAQ,KAAK,MAAM,IAAI,MAAM,mEAAmE,EAAE,GAAGA,EAAE,QAAQ,GAAGsvD,GAAGvvD,CAAC,EAAE,CAAC,IAAI,EAAE,MAAM,QAAQA,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,IAAIE,CAAC,EAAE,QAAQ,KAAKA,EAAE,CAAC,IAAI2B,EAAE/B,EAAE,IAAIiC,GAAGA,EAAE,CAAC,CAAC,EAAED,EAAE8tD,GAAG/tD,EAAE,EAAE7B,CAAC,EAAE,EAAE,CAAC,EAAE8B,CAAC,CAAC,OAAO9B,EAAE,OAAOE,CAAC,EAAE,CAAC,KAAM,OAAM,IAAI,MAAM,yCAAyCA,GAAG,MAAO,QAAOC,EAAE,KAAK,CAAC,SAASwvD,GAAG7vD,EAAE,CAAC,OAAOA,IAAI,KAAK,KAAK2vD,GAAG3vD,EAAE,CAAC,CAAC,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,eAAe+vD,GAAG/vD,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,IAAIwvD,GAAG1vD,EAAE,EAAEE,CAAC,EAAE,QAAQG,KAAK,MAAM,KAAKH,EAAE,KAAK,CAAC,EAAE,CAAC,IAAI2B,EAAE3B,EAAE,IAAIG,CAAC,EAAE,GAAG7B,EAAE,UAAUqD,CAAC,EAAE,CAAC,IAAIC,EAAE,MAAMD,EAAE3B,EAAE,IAAIG,EAAEyB,CAAC,CAAC,CAAC,CAAC,OAAO4tD,GAAG1vD,EAAE,EAAEE,CAAC,CAAC,CAAC,SAASyvD,GAAG3vD,EAAE,CAAC,IAAI,EAAE,GAAG,GAAGpO,EAAE,EAAE,IAAI,YAAY,EAAE,EAAEoO,aAAa,gBAAgB,CAAC,GAAG,CAAC,cAAcE,CAAC,EAAE8F,GAAG,EAAE,EAAEhG,aAAaE,CAAC,CAAC,OAAOF,GAAG,MAAM,CAAC,YAAY,OAAOA,CAAC,IAAI,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAU,EAAEA,aAAa9T,KAAK,EAAE8T,aAAa,UAAU,CAAC,EAAE,CAAC,SAASgwD,GAAGhwD,EAAE,CAAC,OAAOA,GAAG,MAAMiwD,GAAGjwD,CAAC,GAAG,MAAM,QAAQA,CAAC,GAAG,OAAOA,GAAG,UAAUA,aAAa9T,IAAIsS,EAAE,aAAawB,CAAC,CAAC,CAAC,SAASiwD,GAAGjwD,EAAE,CAAC,OAAOA,IAAI,MAAM,OAAOA,GAAG,UAAU,OAAOA,GAAG,UAAU,CAAC,SAASkwD,GAAGlwD,EAAE,CAAC,OAAOyvD,GAAGzvD,EAAEmwD,EAAE,CAAC,CAAC,SAASA,GAAGnwD,EAAE,CAAC,OAAOA,aAAa9T,GAAG,CAAC,MAAM8T,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE2vD,GAAG3vD,CAAC,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,CAAC,MAAMA,EAAE,QAAQ,EAAE,CAAC,CAAC,IAAIowD,GAAG,KAAK,CAAC,YAAYxvD,EAAE,CAAC,GAAG,KAAK,SAASA,EAAE,KAAK,MAAM,EAAE,KAAK,IAAI,EAAEA,GAAG,KAAK,MAAM,IAAI,WAAW,iDAAiD,EAAE,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,2CAA2C,EAAE,KAAK,KAAK,IAAI,MAAMA,CAAC,EAAE,KAAK,gBAAgB,EAAEA,CAAC,CAAC,KAAKA,EAAE,CAAC,KAAKA,EAAE,GAAGA,GAAG,KAAK,gBAAgB,OAAOA,EAAE,KAAK,eAAe,CAAC,IAAIA,EAAE,CAAC,GAAGA,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,OAAO,KAAK,KAAKA,EAAE,KAAK,QAAQ,CAAC,CAAC,IAAIA,EAAEV,EAAE,CAAC,GAAGU,EAAE,EAAE,MAAM,IAAI,WAAW,qCAAqC,EAAE,KAAK,KAAKA,EAAE,KAAK,QAAQ,EAAEV,CAAC,CAAC,QAAQ,CAAC,IAAIU,EAAE,KAAK,IAAI,KAAK,MAAM,OAAOA,EAAE,IAAIA,EAAE,KAAK,gBAAgBA,GAAGA,CAAC,CAAC,QAAQ,CAAC,OAAO,KAAK,OAAO,IAAI,KAAK,QAAQ,CAAC,SAAS,CAAC,OAAO,KAAK,OAAO,IAAI,CAAC,CAAC,KAAKA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,IAAI,KAAK,IAAIA,CAAC,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,QAAQV,KAAKU,EAAE,KAAK,KAAKV,CAAC,CAAC,CAAC,KAAK,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,CAAC,EAAE,IAAIU,EAAE,KAAK,IAAI,KAAK,GAAG,EAAE,OAAO,KAAK,IAAI,KAAK,IAAI,MAAM,EAAEA,CAAC,CAAC,QAAQA,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,IAAI,WAAW,sBAAsB,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAE,KAAK,IAAI,KAAK,MAAMA,CAAC,CAAC,CAAC,OAAO,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIA,EAAE,KAAK,IAAI,KAAK,KAAK,EAAE,OAAO,KAAK,IAAI,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,KAAK,KAAK,KAAK,MAAM,CAAC,EAAEA,CAAC,CAAC,cAAcA,EAAE,CAAC,GAAG,KAAK,QAAQ,EAAE,MAAM,IAAI,WAAW,uBAAuB,EAAE,IAAIV,EAAE,KAAK,KAAK,KAAK,MAAMU,CAAC,EAAE,EAAE,KAAK,IAAIV,CAAC,EAAE,OAAO,KAAK,IAAIA,EAAE,KAAK,IAAI,CAAC,EAAE,CAAC,CAAC,EAAMmwD,GAAG,cAAcD,EAAE,CAAC,aAAa,CAAC,MAAMC,GAAG,gBAAgB,CAAC,CAAC,QAAQ,CAAC,MAAM,EAAE,CAAC,KAAKzvD,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,KAAKA,CAAC,CAAC,CAAC,QAAQA,EAAE,CAAC,MAAM,OAAO,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQA,CAAC,CAAC,CAAC,QAAQ,CAAC,IAAIA,EAAE,KAAK,SAAS,EAAEV,EAAE,IAAI,MAAMU,CAAC,EAAE,EAAE,KAAK,OAAO,EAAE,QAAQP,EAAE,EAAEA,EAAE,EAAEA,IAAIH,EAAEG,CAAC,EAAE,KAAK,IAAI,KAAK,KAAK,KAAK,MAAMA,CAAC,CAAC,EAAE,KAAK,KAAKH,EAAE,KAAK,SAASU,EAAE,KAAK,gBAAgB,EAAE,KAAK,SAAS,KAAK,MAAM,EAAE,KAAK,IAAI,CAAC,CAAC,EAAEyvD,GAAG,iBAAiB,GAAG,SAASC,GAAGtwD,EAAE,CAAC,OAAO,IAAIuwD,GAAGvwD,CAAC,CAAC,CAAC,SAASwwD,GAAGxwD,EAAE,CAAC,OAAO,IAAIywD,GAAGzwD,CAAC,CAAC,CAAC,SAAS0wD,GAAG1wD,EAAE,EAAE,CAAC,OAAO,IAAI2wD,GAAG3wD,EAAE,CAAC,CAAC,CAAC,SAAS4wD,GAAG5wD,EAAE,EAAE6wD,GAAG,KAAK,CAAC,OAAO,IAAIC,GAAG9wD,EAAE,CAAC,CAAC,CAAC,IAAI+wD,GAAG,KAAK,CAAC,MAAM,SAAS,CAAC,IAAInwD,EAAE,CAAC,EAAEV,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMU,EAAE,KAAKV,EAAE,KAAK,EAAEA,EAAE,MAAM,KAAK,KAAK,EAAE,OAAOU,CAAC,CAAC,MAAM,gBAAgB,CAAC,IAAIA,EAAE,KAAK,SAAS,GAAG,EAAEV,EAAE,CAAC,EAAE,EAAE,MAAMU,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,MAAMV,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE,MAAMU,EAAE,KAAK,EAAE,OAAOV,CAAC,CAAC,MAAM,cAAc,CAAC,IAAIU,EAAE,MAAM,KAAK,KAAK,EAAE,KAAK,CAACA,EAAE,MAAMA,EAAE,MAAM,KAAK,KAAK,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,IAAIV,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEU,EAAEV,EAAE,KAAK,EAAE,KAAK,CAACA,EAAE,MAAM,GAAGA,EAAE,MAAM,KAAK,KAAK,EAAE,EAAEU,EAAEV,EAAE,KAAK,CAAC,CAAC,aAAaU,EAAE,CAAC,OAAO,IAAIowD,GAAG,KAAKpwD,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,OAAO,IAAIqwD,GAAG,KAAKrwD,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,OAAO,IAAIswD,GAAG,KAAKtwD,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAIuwD,GAAG,KAAKvwD,CAAC,CAAC,CAAC,eAAeA,EAAE,CAAC,OAAO,IAAIuwD,GAAG,KAAKvwD,CAAC,EAAE,OAAO,CAAC,CAAC,QAAQA,EAAE,CAAC,OAAO,IAAIwwD,GAAG,KAAKxwD,CAAC,CAAC,CAAC,MAAM,aAAaA,EAAE,CAAC,OAAO,KAAK,IAAIA,CAAC,EAAE,aAAa,CAAC,CAAC,MAAM,cAAcA,EAAE,CAAC,OAAO,KAAK,eAAeA,CAAC,EAAE,aAAaV,GAAGA,IAAI,EAAE,CAAC,CAAC,cAAcU,EAAEV,EAAE,GAAG,CAAC,OAAO,IAAImxD,GAAG,KAAKzwD,EAAEV,CAAC,CAAC,CAAC,iBAAiBU,EAAEV,EAAE,GAAG,EAAE2vD,GAAG,CAAC,OAAO,KAAK,cAAcjvD,EAAEV,CAAC,EAAE,IAAI2B,GAAG+tD,GAAG/tD,EAAE,CAAC,CAAC,CAAC,CAAC,YAAYjB,EAAEV,EAAE,CAAC,OAAO,IAAIywD,GAAGL,GAAG,CAAC,KAAK1vD,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,KAAKU,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAI0wD,GAAG,KAAK1wD,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,OAAOA,EAAE,GAAGA,GAAG,KAAK,KAAK,IAAI2wD,GAAG,KAAK3wD,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,OAAO,IAAI4wD,GAAG,KAAK5wD,CAAC,CAAC,CAAC,QAAQA,EAAEV,EAAE,CAAC,OAAO,IAAIuxD,GAAG,KAAK7wD,EAAEV,CAAC,CAAC,CAAC,QAAQ,CAAC,OAAO,IAAIwxD,GAAG,IAAI,CAAC,CAAC,EAAEnB,GAAG,cAAcQ,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,EAAE,KAAK,KAAK,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,KAAK,MAAM,cAAc,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,MAAM,KAAK,MAAM,OAAO,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,KAAK,MAAM,KAAK,IAAI,EAAE,OAAO,KAAK,OAAO,CAAC,MAAMsvD,GAAGtvD,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE6vD,GAAG,cAAcM,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,OAAOA,CAAC,CAAC,SAAS,CAAC,MAAM,eAAe,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,OAAO,KAAK,OAAO,CAAC,OAAOA,EAAN,CAAS,MAAMA,EAAE,QAAQ,mDAAmDA,EAAE,UAAUA,CAAC,CAAC,CAAC,EAAE8wD,GAAG,cAAcX,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE2wD,GAAG,cAAcR,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,SAASV,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,QAAQ,KAAK,UAAU,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAOA,EAAE5P,GAAG4P,EAAE,KAAK,CAAC,CAAC,OAAO,KAAK,SAAS,KAAK,CAAC,CAAC,EAAE0wD,GAAG,cAAcP,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,SAASV,EAAE,KAAK,MAAM,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,KAAK,CAAC,CAAC,EAAEmxD,GAAG,cAAcN,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,EAAE,GAAG,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,qBAAqB,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,oBAAoB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,IAAIU,EAAE,CAAC,EAAE,KAAKA,EAAE,OAAO,KAAK,WAAW,CAAC,IAAIV,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,sBAAsBU,EAAE,OAAO,EAAE,CAAC,MAAMA,EAAE,KAAK,EAAE,EAAE,CAAC,MAAM,KAAK,KAAK,EAAE,EAAEA,EAAE,KAAKV,EAAE,KAAK,CAAC,CAAC,MAAM,CAAC,MAAMU,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEqwD,GAAG,cAAcF,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,aAAa,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAE,OAAOA,EAAE5P,GAAG4P,EAAE,KAAK,CAAC,CAAC,CAAC,EAAEswD,GAAG,cAAcH,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,UAAU,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEmvD,GAAG,cAAcD,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,QAAQV,EAAE,KAAK,MAAM,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,mBAAmB,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,OAAO,GAAG,CAAC,OAAO,MAAM,KAAK,SAAS,KAAK,CAAC,OAAOU,EAAN,CAAS,GAAG,CAAC,KAAK,QAAQA,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,EAAEuwD,GAAG,cAAcJ,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,MAAM,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE8vD,GAAG,cAAcZ,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,YAAY,IAAIV,GAAG,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,MAAM,YAAY,CAAC,KAAK,KAAK,YAAY,OAAO,IAAI,GAAG,GAAG,CAAC,MAAM,KAAK,KAAK,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,MAAM,CAAC,MAAM,KAAK,YAAY,MAAM,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEe,GAAG,cAAcO,EAAE,CAAC,YAAY/wD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,cAAc,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,MAAM,GAAG,IAAIV,EAAE1C,GAAG,sBAAsBoD,EAAE,KAAK,EAAE,EAAE,KAAK,UAAUA,EAAE,KAAK,EAAEP,EAAE7C,GAAG,sBAAsB,CAAC,EAAE,KAAK,YAAY,QAAQ,CAAC,EAAE,QAAQqE,KAAK3B,EAAE1C,GAAG,eAAeqE,EAAExB,CAAC,GAAGwB,EAAE,QAAQ,EAAE,MAAM,EAAE,CAAC,EAAE8uD,GAAG,cAAcI,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,KAAK,cAAcU,CAAC,CAAC,SAAS,CAAC,MAAM,wDAAwD,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,cAAc,KAAK,QAAQ,EAAE,KAAK,QAAQ,CAAC,MAAM,cAAcA,EAAE,CAAC,GAAG,MAAMA,EAAE,KAAK,UAAU,KAAK,CAAC,IAAI,EAAE,MAAM,KAAK,cAAc,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAK,SAAS,EAAE,MAAM,KAAK,kBAAkB,OAAO,KAAK,SAAS,KAAK,SAAS,aAAa,KAAK,gBAAgB,EAAE,CAAC,IAAIV,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,OAAOA,EAAE,MAAM,KAAK,SAAS,KAAK,KAAK,cAAcU,CAAC,GAAGV,CAAC,CAAC,EAAE2wD,IAAI,SAAS7wD,EAAE,CAACA,EAAEA,EAAE,KAAK,CAAC,EAAE,OAAOA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,QAAQ,CAAC,EAAE,SAAS,GAAG6wD,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,cAAcC,EAAE,CAAC,YAAYnwD,EAAEV,EAAE2wD,GAAG,KAAK,CAAC,MAAM,EAAE,KAAK,UAAUjwD,EAAE,KAAK,aAAaV,EAAE,KAAK,MAAM,EAAE,KAAK,eAAe,IAAI,CAAC,SAAS,CAAC,MAAM,kDAAkD,CAAC,MAAM,UAAUU,EAAE,CAAC,MAAMA,EAAE,IAAIV,EAAE,EAAE,EAAE,EAAE,SAASG,EAAEyB,EAAE,CAAC,OAAOA,aAAaivD,GAAG,CAAC,MAAMjvD,EAAE,KAAK,EAAE,KAAKE,IAAI9B,IAAI8B,EAAE,MAAM,IAAIA,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,IAAIH,EAAE,MAAMkuD,GAAG,KAAK,UAAU1vD,CAAC,EAAE,GAAGH,IAAI,EAAE,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,GAAG,EAAE,EAAE,OAAO,KAAK,aAAa,CAAC,KAAK2wD,GAAG,KAAK,MAAM,IAAI,MAAM,qEAAqE,KAAK,QAAQ,EAAE,KAAKA,GAAG,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,KAAKA,GAAG,QAAQ,QAAQ,CAAC,OAAO,KAAK,QAAQ,CAAC,MAAMhvD,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,eAAe,KAAK,UAAU,KAAK,cAAc,EAAE,KAAK,cAAc,CAAC,EAAE2vD,GAAG,cAAcT,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO,IAAIkwD,GAAGlwD,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,OAAO,OAAO,GAAG,CAAC,IAAIU,EAAE,KAAK,SAAS,KAAK,EAAE,KAAK,OAAO,KAAKA,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO,KAAK,OAAO,EAAE,KAAK,OAAO,MAAM,CAAC,CAAC,EAAE6wD,GAAG,cAAcD,EAAE,CAAC,YAAY5wD,EAAEV,EAAE,EAAE,CAAC,MAAMU,EAAEV,CAAC,EAAE,KAAK,SAASU,EAAE,KAAK,WAAWV,EAAE,KAAK,kBAAkB,GAAG,KAAK,OAAOsvD,GAAG,KAAK,GAAGhxD,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,KAAK,SAAS,QAAQ,QAAQ,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,SAAS,KAAK,IAAI,KAAK,WAAW,CAAC,EAAE,KAAK,QAAQ,CAAC,UAAUoC,EAAE,CAAC,OAAO,KAAK,MAAM,KAAK,OAAO,EAAEA,CAAC,CAAC,CAAC,aAAa,CAAC,OAAO,KAAK,UAAU,KAAK,OAAO,OAAO,CAAC,CAAC,CAAC,MAAM,YAAY,CAAC,IAAI,KAAK,mBAAmB,KAAK,OAAO,EAAE,CAAC,KAAK,OAAO,QAAQ,GAAG,CAAC,IAAIA,EAAE,KAAK,YAAY,EAAEV,EAAE,MAAM,KAAK,OAAO,cAAcU,CAAC,EAAE,GAAGV,EAAE,KAAK,KAAK,kBAAkB,OAAQ,QAAO,KAAK,OAAO,EAAEA,CAAC,CAAC,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,CAAC,CAAC,EAAMyuD,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,KAAK,IAAI,CAAC,MAAM/tD,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,KAAK1B,EAAE,OAAOoC,EAAE,EAAE,IAAI;AAAA,QAC76xDA,GAAG,EAAE,IAAIP,EAAE,OAAO,KAAK,OAAO,EAAE,GAAG,KAAK,MAAM,KAAKA,EAAE,KAAK,KAAKH,EAAEG,EAAE,KAAK,KAAK,KAAK,KAAKO,CAAC,EAAEP,EAAE,KAAK,MAAM,KAAK,KAAKO,CAAC,EAAEgxD,GAAG,UAAU,MAAM,EAAE,SAAS,GAAG,iBAAiBhxD,EAAEV,EAAE2xD,EAAE,EAAExxD,CAAC,CAAC,CAAC,YAAYO,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,GAAGU,EAAE,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK,MAAM,MAAMA,EAAE,MAAM,KAAK,EAAE,KAAK,KAAKA,EAAE,KAAK,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,YAAY,MAAMU,EAAE,SAAS,CAAC,EAAE,CAAC,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,OAAO,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,KAAK0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,OAAOG,GAAG3C,EAAE,IAAIkD,EAAEP,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,aAAaO,EAAE,CAAC,OAAO,MAAM,KAAK,SAAS,GAAG,aAAaA,CAAC,CAAC,CAAC,IAAIA,EAAE,CAAC,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,IAAI,GAAGxC,EAAE,IAAIkD,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,SAASU,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASA,EAAE,CAAC,GAAGA,GAAG,KAAK,MAAM,IAAI,WAAW,2DAA2D,EAAE,IAAIV,EAAE,KAAK,OAAO0xD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,SAASU,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMU,EAAE,EAAE,EAAE,KAAK,KAAKA,EAAEA,IAAI,EAAE,EAAE,EAAE,KAAK,MAAM,OAAOA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,KAAKgxD,GAAG,SAAS,CAAC,IAAIvxD,EAAEmwD,GAAG,UAAU,CAAC,MAAM,MAAMtwD,EAAE,SAAS,EAAE,KAAK,EAAE,EAAE,EAAE,OAAOwwD,GAAGrwD,EAAE,KAAKO,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,KAAKA,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAMU,GAAG,GAAG,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,OAAO,KAAK,KAAKA,GAAGA,IAAI,QAAQA,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,KAAKU,CAAC,EAAE,CAAC,CAAC,CAAC,QAAQA,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGU,GAAG,MAAMA,EAAE,EAAE,MAAM,KAAK,MAAM,KAAK,IAAI,WAAW,0DAA0D,EAAE,IAAI,WAAW,mNAAmN,KAAK,gBAAgB,EAAE,IAAIP,EAAE,KAAKwB,EAAE0tD,GAAG,KAAKrvD,GAAG1B,EAAE,IAAI,EAAE,SAAS,CAAC,EAAE,OAAOozD,GAAG,SAAS,CAAC,IAAI9vD,EAAED,EAAE,MAAM,EAAE,OAAO,IAAIC,GAAGD,EAAE,MAAM,IAAI,MAAMxB,EAAE,SAAS,GAAG,QAAQO,EAAEkB,EAAE,SAAS,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAKlB,EAAE,CAAC,IAAIV,EAAE,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,KAAKU,EAAE,EAAEA,EAAE,KAAK,MAAM,MAAM,KAAK,MAAMA,EAAE,EAAE,KAAK,KAAK,EAAE,KAAKgxD,GAAG,UAAU,MAAM1xD,EAAE,SAAS,GAAG,KAAKU,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,QAAQ,CAAC,CAAC,MAAM,gBAAgB,CAAC,GAAG,KAAK,OAAO,EAAE,EAAE,MAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO,MAAM,KAAK,SAAS,GAAG,eAAe,CAAC,CAAC,EAAE+tD,GAAG,gBAAgB,IAAI,SAASiD,GAAG5xD,EAAE,EAAE,KAAK,CAAC,OAAO,IAAI,cAAc2uD,EAAE,CAAC,aAAa,CAAC,MAAM,GAAG,SAAS,EAAE,KAAK,KAAK,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO3uD,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+uD,GAAG/uD,EAAE,CAAC,OAAO4xD,GAAG,SAAStB,GAAGtwD,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,SAASsvD,GAAGtvD,EAAE,CAAC,GAAG,CAAC2vD,GAAG3vD,CAAC,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,IAAI,EAAE,GAAG,MAAM,QAAQA,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,EAAE,GAAG,KAAKF,EAAEE,CAAC,EAAE,KAAK,KAAK,IAAI,EAAEF,EAAEE,CAAC,EAAE,IAAI,UAAUF,aAAa,OAAO,QAAQE,KAAKF,EAAE,EAAE,GAAG,KAAKA,EAAEE,CAAC,EAAE,KAAK,KAAK,IAAI,EAAEF,EAAEE,CAAC,EAAE,IAAI,EAAE,OAAO0xD,GAAG,SAAS,CAAC,IAAI1xD,EAAE,MAAM6vD,GAAG/vD,EAAEI,GAAG,CAAC,GAAGA,aAAauuD,GAAG,MAAM,CAAC,MAAMvuD,EAAE,SAAS,EAAE,QAAQ,EAAE,EAAE,GAAGuvD,GAAGvvD,CAAC,EAAE,MAAM,CAAC,MAAM,KAAK,QAAQ,EAAE,EAAE,MAAM,IAAI,MAAM,2EAA2E,CAAC,CAAC,EAAE,OAAOwwD,GAAG1wD,EAAE2wD,GAAG,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC,SAASgB,GAAG7xD,EAAE,CAAC,GAAGA,IAAI,KAAK,OAAO,KAAK,IAAI,EAAEA,EAAE,CAAC,EAAE,OAAOgwD,GAAG,CAAC,EAAE,CAAC,MAAM8B,GAAG9xD,CAAC,EAAE,QAAQ,EAAE,EAAE,CAAC,MAAM,KAAK,QAAQ,EAAE,CAAC,CAAC,SAAS8xD,GAAG9xD,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAOA,EAAE,CAAC,YAAY9T,GAAGsQ,GAAGwD,CAAC,EAAE/C,GAAG+C,CAAC,CAAC,CAAC,IAAI6uD,GAAG,cAAcF,EAAE,CAAC,YAAY/tD,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMA,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO,MAAM,KAAK,MAAM,SAAS,GAAG,WAAW,EAAE,MAAM;AAAA,CACr1G,EAAE,IAAIP,IAAIA,EAAE,SAAS,IAAI,IAAIA,EAAEA,EAAE,MAAM,EAAE,EAAE,GAAGA,EAAE,CAAC,CAAC,EAAM0xD,GAAG,IAAIC,GAAG,OAAO,KAAK,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,OAAO,EAAEC,GAAG,OAAO,iBAAiB,EAAEC,GAAG,OAAO,cAAc,EAAE1D,GAAG,cAAcC,EAAE,CAAC,YAAY/tD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMU,EAAE,KAAK,UAAU,GAAG,KAAK,gBAAgB,KAAK,KAAK,qBAAqB,GAAG,KAAK,cAAc,KAAK,KAAK,sBAAsB,GAAG,KAAK,UAAU,IAAI,KAAK,gBAAgB,GAAG,KAAK,KAAK,IAAIiuD,GAAGjuD,CAAC,EAAEV,IAAIA,EAAE,CAAC,GAAG,KAAK,UAAUA,EAAE,YAAY,GAAG,KAAK,gBAAgBA,EAAE,YAAY,KAAK,cAAcA,EAAE,cAAc,KAAK,sBAAsBA,EAAE,sBAAsBA,EAAE,iBAAiB1B,EAAE,OAAO0B,EAAE,WAAW,KAAK,IAAI,gEAAgE,EAAE,KAAK,gBAAgB,GAAG,KAAK,UAAU,KAAK,KAAK,UAAUA,EAAE,UAAUA,EAAE,UAAU,GAAG,CAAC,MAAM,aAAa,CAAC,OAAO,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,KAAK,sBAAsB,OAAO,KAAK,KAAK,aAAa,EAAE,KAAK,eAAe,CAAC,MAAM,gBAAgB,CAAC,IAAIU,EAAE,MAAM,KAAK,oBAAoB,EAAE,GAAG,CAAC,KAAK,iBAAiB,CAACA,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,KAAK,iBAAiBA,GAAGpC,EAAE,OAAOoC,EAAE,SAAS,KAAK,gBAAgB,OAAO,IAAI,uCAAuC,KAAK,gBAAgB,OAAO,SAAS,EAAE,kEAAkEA,EAAE,OAAO,SAAS,EAAE,IAAI,EAAE,KAAK,kBAAkB,KAAK,gBAAgBA,GAAG,IAAIV,EAAE,KAAK,gBAAgB,OAAO,CAACG,EAAEwB,KAAKxB,EAAEwB,CAAC,EAAExB,EAAEwB,CAAC,EAAE,GAAG,EAAExB,GAAG,CAAC,CAAC,EAAE,EAAE,OAAO,KAAKH,CAAC,EAAE,OAAOG,GAAGH,EAAEG,CAAC,EAAE,CAAC,EAAE,GAAG7B,EAAE,OAAO,EAAE,SAAS,EAAE,IAAI,iCAAiC,EAAE,SAAS,CAAC,EAAE,KAAK,eAAe,QAAQ6B,KAAK,OAAO,KAAK,KAAK,aAAa,EAAE,GAAG,KAAK,gBAAgB,QAAQA,CAAC,IAAI,GAAG,MAAM,IAAI,MAAM,YAAYA,EAAE,uEAAuE,KAAK,gBAAgB,SAAS,EAAE,IAAI,EAAE,KAAK,qBAAqB,EAAE,CAAC,MAAM,qBAAqB,CAAC,GAAG,KAAK,UAAU,CAAC,IAAI,EAAE,MAAM,MAAM,KAAK,KAAK,SAAS,GAAG,KAAK,EAAE,GAAG,EAAE,KAAK,MAAM,IAAI,MAAM,oCAAoC,EAAE,IAAID,EAAE,EAAE,MAAM,OAAO,KAAK,SAASA,EAAE,EAAE,CAAC,KAAM,QAAO,IAAI,CAAC,MAAM,UAAU,CAAC,KAAK,sBAAsB,MAAM,KAAK,eAAe,EAAE,IAAIQ,EAAE,MAAM,KAAK,KAAK,SAAS,EAAE,OAAO,KAAK,YAAYA,EAAEA,EAAE,KAAK,CAAC,GAAGA,EAAE,IAAIV,GAAG,KAAK,gBAAgBA,CAAC,CAAC,CAAC,CAAC,gBAAgBU,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,CAAC,EAAE,EAAE,CAAC,EAAEP,EAAE,CAAC,EAAE,QAAQwB,EAAE,EAAEA,EAAE,KAAK,gBAAgB,OAAOA,IAAI,CAAC,IAAIC,EAAE,KAAK,gBAAgBD,CAAC,EAAEE,EAAE,KAAK,cAAc,KAAK,cAAcD,CAAC,EAAE,KAAK,GAAG,EAAE,KAAK,uBAAuB,CAACC,GAAG,CAAC,IAAIC,EAAE9B,EAAE2B,CAAC,EAAE,EAAE,KAAK,GAAGG,IAAI,GAAG,GAAGD,GAAGA,EAAE,UAAU,OAAO,EAAEA,EAAE,YAAY,CAAC,GAAGA,IAAIA,EAAE,UAAUA,EAAE,SAAS,MAAM,IAAI,MAAM,mBAAmBD,4BAA4BlB,GAAG,EAAE,EAAE,MAAM,KAAK,CAAC,IAAI8B,EAAE,OAAOV,CAAC,EAAE,GAAG,MAAMU,CAAC,EAAEX,GAAGA,EAAE,QAAQ,OAAO,EAAE,KAAK,WAAWC,CAAC,EAAE,EAAEA,UAAU,CAACD,GAAG,CAACA,EAAE,MAAM,EAAEW,MAAO,QAAOX,EAAE,MAAM,CAAC,IAAI,UAAU,EAAEW,EAAE,MAAM,IAAI,QAAQ,EAAE,KAAK,MAAMA,CAAC,EAAE,MAAM,IAAI,OAAO,EAAE,KAAK,WAAWV,CAAC,EAAE,MAAM,QAAQ,EAAEU,CAAC,CAAC,CAACX,GAAGA,EAAE,QAAQ1B,EAAEyB,CAAC,EAAE,EAAE,EAAEA,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO,OAAO,KAAKzB,CAAC,EAAE,SAAS,EAAE,EAAE,CAAC,GAAG,EAAE,GAAGA,CAAC,CAAC,CAAC,WAAWO,EAAE,CAAC,OAAOA,IAAI,KAAKA,EAAE,YAAY,IAAI,OAAO,EAAE,CAAC,CAAC,SAASA,EAAEV,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC,EAAEG,EAAE,EAAEwB,EAAEjB,EAAE,OAAOkB,EAAEkwD,GAAG,QAAQjwD,EAAE,EAAEA,EAAEF,EAAEE,IAAI,OAAOD,EAAE,CAAC,KAAKkwD,GAAG,OAAOpxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAG1xD,EAAE0B,EAAE,EAAED,EAAEowD,GAAG,MAAM,KAAK,KAAK,UAAU,GAAG7xD,EAAE0B,EAAE,EAAE,KAAK,YAAY,KAAK,KAAK,gBAAgB,MAAM,EAAE,KAAK,EAAE,EAAED,EAAEkwD,GAAG,MAAM,QAAQlwD,EAAEmwD,GAAG5xD,EAAE0B,EAAE,KAAK,CAAC,MAAM,KAAKkwD,GAAG,OAAOrxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,CAAC,CAAC,EAAED,EAAEkwD,GAAG3xD,EAAE0B,EAAE,EAAE,MAAM,QAAQ,CAAC,MAAM,KAAKmwD,GAAG,OAAOtxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAGjwD,EAAEqwD,GAAG,MAAM,QAAQ,CAAC,MAAM,KAAKA,GAAG,OAAOvxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAK,KAAK,UAAU,EAAE,KAAKnB,EAAE,UAAUP,EAAE0B,EAAE,CAAC,CAAC,EAAED,EAAEkwD,GAAG3xD,EAAE0B,EAAE,EAAE,MAAM,KAAKgwD,GAAGjwD,EAAEowD,GAAG,MAAM,QAAQpwD,EAAEswD,GAAG,KAAK,CAAC,MAAM,KAAKA,GAAG,OAAOxxD,EAAE,OAAOmB,CAAC,EAAE,CAAC,KAAKgwD,GAAGjwD,EAAEowD,GAAG,MAAM,QAAQ,CAAC,MAAM,QAAQ,CAAC,GAAGpwD,IAAIqwD,GAAG,EAAE,KAAKvxD,EAAE,UAAUP,EAAEwB,EAAE,CAAC,CAAC,EAAE,EAAE,KAAKjB,EAAE,UAAUP,CAAC,CAAC,EAAEH,GAAG,EAAE,SAAS,KAAK,gBAAgB,OAAO,MAAM,IAAI,MAAM,wCAAwC,KAAK,gBAAgB,qCAAqC,GAAG,EAAE,OAAO,CAAC,CAAC,EAAMmyD,GAAG,cAActB,EAAE,CAAC,YAAYnwD,EAAE,CAAC,MAAM,EAAE,KAAK,iBAAiBA,EAAE,KAAK,SAAS,GAAG,KAAK,QAAQA,EAAE,SAAS,KAAK,IAAIV,EAAE,KAAK,KAAK,KAAK,OAAO,EAAE,GAAG,KAAK,QAAQ,GAAGA,EAAE,GAAGA,EAAE,IAAI,CAAC,OAAO,UAAUA,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,KAAK,SAAS,EAAE,GAAG,KAAK,UAAUU,EAAE,yBAAyB,GAAG,KAAK,aAAaA,EAAE,aAAa,KAAK,qBAAqBA,EAAE,sBAAsB,KAAK,QAAQ,KAAK,sBAAsBA,EAAE,sBAAsB,KAAK,sBAAsBA,EAAE,uBAAuB,EAAE,KAAK,mBAAmBA,EAAE,qBAAqB,GAAG,KAAK,gBAAgBA,EAAE,kBAAkB,GAAG,CAAC,KAAK,oBAAoB,CAAC,KAAK,gBAAgB,MAAM,IAAI,MAAM,sGAAsG,CAAC,CAAC,SAAS,CAAC,MAAM,YAAY,CAAC,aAAa,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAG,CAAChP,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,IAAIsO,EAAE,IAAImyD,GAAGzxD,CAAC,EAAE,OAAO,MAAMV,EAAE,MAAM,EAAEA,CAAC,CAAC,MAAM,OAAO,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,KAAK,uBAAuB,KAAK,GAAG,KAAK,sBAAsB,MAAM,EAAE,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,iDAAiD,EAAE,SAAS,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,yCAAyC,EAAE,IAAIU,EAAE,OAAO,cAAc,OAAO,mBAAmB,GAAG,KAAK,aAAa,IAAIA,EAAE,CAAC,KAAK,aAAa,KAAK,aAAa,KAAK,aAAa,mBAAmB,KAAK,aAAa,aAAa,KAAK,aAAa,MAAM,IAAI,MAAM,wCAAwC,KAAK,yBAAyB,KAAK,aAAa,YAAY,EAAE,IAAIV,EAAE,KAAK,aAAa,wBAAwB,KAAK,MAAM,EAAE,KAAK,SAAS,KAAK,aAAa,eAAe,EAAE,KAAK,SAAS,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,sBAAsB,KAAK,sBAAsBA,EAAE,QAAQ,KAAK,QAAQ,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,EAAE,KAAK,SAAS,IAAI,aAAa,KAAK,OAAO,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIU,EAAEV,EAAE,EAAE,MAAM,KAAK,aAAa,EAAE,GAAG,KAAK,mBAAmB,CAAC,IAAIG,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEO,EAAE,KAAK,4BAA4BP,EAAE,CAAC,KAAK,UAAU,KAAK,qBAAqB,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,gBAAgB,CAAC,IAAIA,EAAE,KAAK,aAAa,EAAE,aAAa,EAAEH,EAAE,KAAK,4BAA4BG,EAAE,CAAC,KAAK,UAAU,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,YAAYO,EAAE,SAASV,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,cAAc,CAAC,IAAIU,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAE,EAAE,EAAE,OAAO,IAAI,QAAQG,GAAG,CAAC,IAAIwB,EAAE,YAAY,IAAI,CAAC,KAAK,qBAAqB,KAAK,SAAS,sBAAsB,KAAK,QAAQ,EAAE,KAAK,SAAS,CAAC,IAAI,MAAMxB,EAAE,CAAC,cAAcO,EAAE,cAAcV,CAAC,CAAC,EAAEU,EAAE,KAAK,KAAK,SAAS,MAAM,EAAE,KAAK,oBAAoB,CAAC,GAAG,KAAK,kBAAkB,KAAK,SAAS,uBAAuB,KAAK,QAAQ,EAAEV,EAAE,KAAK,KAAK,SAAS,MAAM,CAAC,GAAG,EAAE,IAAI,KAAK,YAAY,cAAc2B,CAAC,EAAExB,EAAE,CAAC,cAAcO,EAAE,cAAcV,CAAC,CAAC,EAAE,EAAE,KAAK,QAAQ,KAAK,aAAa,GAAG,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,KAAK,WAAW,KAAK,SAAS,GAAG,KAAK,SAAS,WAAW,EAAE,KAAK,aAAa,MAAM,EAAE,KAAK,QAAQ,MAAM,KAAK,OAAO,UAAU,EAAE,OAAO,GAAG,KAAK,OAAO,UAAU,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,eAAe,CAAC,OAAO,KAAK,YAAY,CAAC,aAAaU,EAAE,CAAC,IAAIV,EAAEU,EAAE,CAAC,EAAE,OAAO,EAAE,IAAI,aAAaA,EAAE,OAAOV,CAAC,EAAE,OAAOU,EAAE,QAAQ,CAACP,EAAEwB,IAAI,EAAE,IAAIxB,EAAEwB,EAAE3B,CAAC,CAAC,EAAE,CAAC,CAAC,4BAA4BU,EAAEV,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa1B,EAAE,cAAc0B,CAAC,CAAC,EAAE,OAAO,EAAE,IAAIU,EAAE,EAAE,OAAOA,EAAE,MAAM,EAAE3D,GAAG,EAAEiD,CAAC,CAAC,CAAC,EAAMoyD,GAAG,cAAcvB,EAAE,CAAC,YAAYnwD,EAAEV,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,mBAAmBU,EAAE,KAAK,aAAaV,EAAE,KAAK,SAAS,GAAG,KAAK,OAAO,GAAG,KAAK,aAAa,EAAE,GAAG,KAAK,OAAO,GAAG,KAAK,SAAS,CAAC,KAAK,aAAa,aAAa,KAAK,aAAa,WAAW,EAAE,KAAK,WAAWhD,GAAG,CAAC,CAAC,EAAE,OAAO,EAAE,KAAK,aAAa,WAAW,CAAC,IAAI,EAAE,KAAK,aAAa,YAAY,EAAE,KAAK,mBAAmB,MAAMmD,EAAE,KAAK,aAAa,aAAa,EAAE,KAAK,mBAAmB,OAAOwB,GAAG,EAAE,GAAG,EAAEC,GAAG,EAAEzB,GAAG,EAAE0B,EAAEF,EAAE,EAAEG,EAAE3B,EAAEyB,EAAE,KAAK,QAAQ3E,GAAG,CAAC2E,EAAED,EAAEG,EAAED,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAK,QAAQ5E,GAAG,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,QAAQ,CAAC,aAAa,OAAOyD,EAAEV,EAAE,CAAC,EAAE,CAAC,GAAG,CAACtO,EAAE,EAAE,IAAI,YAAY,EAAE,MAAM,IAAI,MAAM,0DAA0D,EAAE,GAAG,CAACgP,EAAE,CAAC,GAAGA,EAAE,SAAS,cAAc,OAAO,EAAE,CAACV,EAAE,aAAa,CAACA,EAAE,aAAa,MAAM,IAAI,MAAM,wGAAwG,EAAEU,EAAE,MAAMV,EAAE,YAAYU,EAAE,OAAOV,EAAE,YAAY,CAAC,IAAI,EAAE,IAAIoyD,GAAG1xD,EAAEV,CAAC,EAAE,OAAO,MAAM,EAAE,MAAM,EAAE,CAAC,CAAC,MAAM,OAAO,CAAC,KAAK,aAAa,YAAY1B,EAAE,OAAO,KAAK,aAAa,aAAa,QAAQ,KAAK,aAAa,aAAa,cAAc,IAAI,+BAA+B,KAAK,aAAa,oDAAoD,EAAE,GAAG,CAAC,KAAK,OAAO,MAAM,UAAU,aAAa,aAAa,CAAC,MAAM,CAAC,SAAS,KAAK,aAAa,SAAS,WAAW,KAAK,aAAa,WAAW,KAAK,aAAa,WAAW,OAAO,MAAM,KAAK,mBAAmB,MAAM,OAAO,KAAK,mBAAmB,MAAM,CAAC,CAAC,CAAC,OAAOoC,EAAN,CAAS,MAAMA,EAAE,QAAQ,iDAAiDA,EAAE,UAAUA,CAAC,CAAC,GAAG,CAAC,KAAK,OAAO,MAAM,IAAI,MAAM,qCAAqC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,KAAK,MAAM,OAAOA,EAAN,CAAS,QAAQ,IAAIA,CAAC,EAAE,KAAK,mBAAmB,IAAI,OAAO,IAAI,gBAAgB,KAAK,MAAM,CAAC,CAAC,OAAO,KAAK,mBAAmB,KAAK,EAAE,KAAK,SAAS,GAAG,IAAI,QAAQA,GAAG,CAAC,KAAK,mBAAmB,iBAAiB,IAAI,CAACA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,MAAM,CAAC,GAAG,KAAK,SAAS,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,IAAIA,EAAE,GAAG,CAACA,EAAEhS,GAAG,WAAW,KAAK,kBAAkB,CAAC,OAAOsR,EAAN,CAAS,MAAM,IAAI,MAAM,4CAA4C,KAAK,UAAUA,CAAC,GAAG,CAAC,CAAC,GAAG,KAAK,OAAO,GAAG,CAAC,MAAM,CAAC,MAAM,KAAK,mBAAmBU,CAAC,EAAE,KAAK,EAAE,CAAC,OAAOV,EAAN,CAAS,MAAM,IAAI,MAAM,oCAAoCA,EAAE,SAAS,CAAC,QAAC,CAAQU,EAAE,QAAQ,CAAC,KAAM,OAAM,CAAC,MAAMA,EAAE,KAAK,EAAE,CAAC,CAAC,cAAc,CAAC,MAAM,CAAC,EAAE,KAAK,aAAa,aAAa,KAAK,aAAa,eAAe,KAAK,mBAAmB,QAAQ,KAAK,aAAa,aAAa,KAAK,mBAAmB,SAAS,KAAK,aAAa,cAAc,CAAC,mBAAmBA,EAAE,CAAC,OAAOlD,EAAE,IAAI,CAAC,IAAIwC,EAAEjO,GAAGlD,GAAE6R,EAAE,SAAS,EAAE,CAAC,EAAE,EAAE,EAAEjN,GAAG,cAAcuM,EAAE,KAAK,QAAQ,KAAK,WAAW,KAAK,SAAS,UAAU,EAAE,IAAIG,EAAE,EAAE,MAAM,OAAO3G,EAAE,EAAE2G,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,SAAS,CAAC,OAAO,MAAM,KAAK,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,OAAO,UAAU,EAAE,QAAQ,GAAG,EAAE,KAAK,CAAC,EAAE,GAAG,CAAC,KAAK,mBAAmB,UAAU,IAAI,OAAO,EAAN,CAAS,QAAQ,IAAI,CAAC,EAAE,KAAK,mBAAmB,IAAI,IAAI,CAAC,KAAK,SAAS,EAAE,CAAC,SAAS,CAAC,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,EAAMkyD,GAAG,KAAK,CAAC,EAAMC,GAAG,cAAczB,EAAE,CAAC,MAAMnwD,EAAE,CAAC,OAAO,IAAI6xD,GAAG,KAAK7xD,CAAC,CAAC,CAAC,EAAE6xD,GAAG,cAAcD,EAAE,CAAC,YAAY5xD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,KAAK,IAAI8xD,GAAG9xD,EAAEV,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEwyD,GAAG,cAAcf,EAAE,CAAC,YAAY/wD,EAAEV,EAAE,CAAC,MAAM,EAAE,KAAK,SAASU,EAAE,KAAK,UAAUV,EAAE,KAAK,UAAU,EAAE,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,eAAe,KAAK,aAAa,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAE,GAAGA,EAAE,KAAK,OAAO,KAAK,YAAY,GAAG,IAAI,KAAK,YAAY,KAAK,KAAK,SAAS,EAAE,KAAK,UAAU,GAAG,IAAI,IAAIV,EAAEU,EAAE,MAAM,MAAM,KAAK,SAAS,EAAEV,EAAE,CAAC,EAAE,KAAK,UAAUA,EAAE,CAAC,EAAE,QAAQ,KAAKA,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,OAAO,KAAK,UAAUA,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,EAAMyyD,GAAG,cAAc5B,EAAE,CAAC,YAAY,CAAC,OAAO,IAAI6B,GAAG,IAAI,CAAC,CAAC,EAAEA,GAAG,cAAcJ,EAAE,CAAC,YAAY5xD,EAAE,CAAC,MAAM,EAAE,KAAK,SAASA,EAAE,KAAK,KAAK,IAAIiyD,GAAGjyD,CAAC,CAAC,CAAC,SAAS,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,KAAK,KAAK,CAAC,CAAC,EAAEiyD,GAAG,cAAclB,EAAE,CAAC,YAAY/wD,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,SAASA,EAAEhP,EAAE,EAAE,IAAI,YAAY,EAAE,KAAK,QAAQ,IAAI,YAAY,OAAO,MAAM,CAAC,GAAG,CAAC,cAAcsO,CAAC,EAAE8F,GAAG,EAAE,KAAK,QAAQ,IAAI9F,EAAE,MAAM,CAAC,CAAC,CAAC,SAAS,CAAC,MAAM,GAAG,KAAK,SAAS,QAAQ,WAAW,CAAC,MAAM,MAAM,CAAC,IAAIU,EAAE,MAAM,KAAK,SAAS,KAAK,EAAEV,EAAE,GAAGU,EAAE,KAAK,MAAM,GAAGV,EAAEU,EAAE,MAAM,IAAI,EAAE,OAAOhP,EAAE,EAAE,IAAI,YAAY,EAAE,EAAE,KAAK,QAAQ,OAAOsO,EAAE,CAAC,OAAO,EAAE,CAAC,EAAE,EAAE,KAAK,QAAQ,MAAM,OAAO,KAAKA,EAAE,MAAM,CAAC,EAAE,KAAK,YAAY,KAAK,CAAC,EAAE,EAAE,CAAC,EAAM4yD,GAAG,cAAcH,EAAE,CAAC,YAAY/xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKU,EAAE,KAAK,QAAQV,EAAE1B,EAAE,OAAOoC,aAAa,aAAahP,EAAE,EAAE,IAAI,YAAY,EAAEgP,aAAa,MAAMA,aAAa,KAAK,IAAI,IAAI,sEAAsE,EAAE,KAAK,OAAOV,EAAE,QAAQ,EAAE,KAAK,UAAUA,EAAE,WAAW,KAAK,IAAI,CAAC,SAAS,CAAC,MAAM,cAAc,KAAK,MAAM,CAAC,MAAM,MAAM,CAAC,OAAO,KAAK,SAAS,KAAK,gBAAgB,WAAW,KAAK,KAAK,WAAW,KAAK,KAAK,MAAM,CAAC,MAAM,KAAK,KAAK,EAAE,EAAE,CAAC,MAAM,MAAM,IAAI,QAAQ,CAAC,EAAEE,IAAI,CAAC,IAAIC,EAAE,KAAK,OAAO,KAAK,UAAU,GAAG,KAAK,gBAAgB,WAAW,EAAE,IAAI,WAAW,KAAK,KAAK,MAAM,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,CAAC,IAAIwB,EAAE,IAAI,WAAWA,EAAE,OAAOE,GAAG,CAAC,IAAIC,EAAEH,EAAE,OAAO,GAAGG,aAAa,cAAcA,EAAE,IAAI,WAAWA,CAAC,GAAG,EAAEA,aAAa,YAAY,OAAO5B,EAAE,IAAI,UAAU,mCAAmC,CAAC,EAAE,EAAE4B,CAAC,CAAC,EAAEH,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM,SAAS,CAAC,EAAEyB,EAAE,QAAQE,GAAG3B,EAAE,IAAI,MAAM2B,EAAE,IAAI,CAAC,EAAE,IAAID,EAAE,KAAK,KAAK,MAAM,KAAK,OAAOzB,CAAC,EAAEwB,EAAE,kBAAkBC,CAAC,CAAC,CAAC,KAAK,OAAOzB,CAAC,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE,eAAe0yD,GAAG/yD,EAAE,EAAE,CAAC,EAAEE,EAAE,CAAC,IAAIE,EAAEC,EAAE,OAAOL,GAAG,SAASI,EAAEJ,GAAGI,EAAEJ,EAAE,IAAIK,EAAE2yD,GAAGhzD,CAAC,GAAG,IAAI,EAAE,MAAME,GAAG1B,EAAE,OAAO4B,EAAEC,CAAC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,IAAI,WAAW,MAAM,EAAE,YAAY,CAAC,EAAE,OAAO,IAAIyyD,GAAG,EAAE,CAAC,CAAC,KAAM,OAAM,IAAI,MAAM,EAAE,UAAU,CAAC,CAAC,IAAIE,GAAGhzD,IAAI,CAAC,OAAOA,EAAE,OAAO,QAAQA,EAAE,QAAQ,KAAKA,EAAE,KAAK,KAAKA,EAAE,KAAK,YAAYA,EAAE,YAAY,MAAMA,EAAE,MAAM,SAASA,EAAE,SAAS,SAASA,EAAE,SAAS,UAAUA,EAAE,SAAS,GAAG,SAASizD,GAAGjzD,EAAE,CAAC,OAAO,OAAOA,GAAG,UAAUA,EAAE,MAAM,EAAE,CAAC,IAAI,SAAS,CAAC,IAAI4uD,GAAG,cAAc2D,EAAE,CAAC,YAAY3xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,MAAMU,EAAE,KAAK,QAAQV,CAAC,CAAC,MAAM,UAAU,CAAC,GAAG+yD,GAAG,KAAK,KAAK,GAAGrhE,EAAE,EAAE,IAAI,SAAS,EAAE,CAAC,IAAIgP,EAAEqF,GAAG,EAAE,KAAK,MAAMrF,EAAE,aAAa,KAAK,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,IAAIkyD,GAAG,KAAK,MAAM,KAAK,OAAO,CAAC,CAAC,EAAMhE,GAAG,cAAcyD,EAAE,CAAC,YAAY3xD,EAAEV,EAAE,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,IAAIU,EAAE,KAAK,YAAYV,CAAC,CAAC,MAAM,UAAU,CAAC,OAAO+yD,GAAG,KAAK,GAAG,EAAE,IAAIrE,GAAG,KAAK,IAAI,KAAK,WAAW,EAAE,SAAS,EAAEmE,GAAG,KAAK,IAAI,KAAK,WAAW,CAAC,CAAC,EAAE,SAAS/D,GAAGhvD,EAAE,EAAE,CAAC,EAAE,CAAC,OAAO,IAAI0uD,GAAG,IAAII,GAAG9uD,CAAC,EAAE,CAAC,CAAC,CAAC,SAASivD,GAAGjvD,EAAE,CAAC,IAAI,EAAEwwD,GAAGxwD,CAAC,EAAE,OAAO4xD,GAAG,SAAS,CAAC,CAAC,CAAC,SAAS1C,GAAGlvD,EAAE,CAAC,OAAO4xD,GAAG,SAAS,CAAC,IAAI,EAAE,MAAM5xD,EAAE,EAAE,OAAOwwD,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,eAAenB,GAAGrvD,EAAE,EAAE,CAAC,OAAOsyD,GAAG,OAAOtyD,EAAE,CAAC,CAAC,CAAC,eAAemvD,GAAGnvD,EAAE,CAAC,OAAOqyD,GAAG,OAAOryD,CAAC,CAAC,CAAC,IAAIovD,GAAG,QAAQ,SAAS8D,GAAGlzD,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,YAAY,IAAI,GAAG,0DAA0D,CAAC,CAAC,CAAC,CAAC,IAAIizD,GAAG9+D,GAAG,UAAU++D,GAAG,cAAc1tE,EAAE,CAAC,aAAa,CAAC,MAAM,EAAE,KAAK,UAAU,GAAG,KAAK,SAAS,GAAG,KAAK,KAAK,IAAI5C,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOyhE,GAAG,YAAY,CAAC,MAAMxyD,EAAEV,EAAE,EAAE,CAAC,KAAK,WAAW,KAAK,SAAS,GAAGtO,EAAE,EAAE,IAAI,SAAS,GAAG5D,EAAE,KAAK;AAAA;AAAA;AAAA,6BAGv6b,GAAG,IAAIqS,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,KAAK,IAAIA,EAAE,CAAC,OAAOO,EAAE,MAAM,EAAE,SAAS,CAAC,CAAC,EAAEP,CAAC,CAAC,eAAeO,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAGH,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG1B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,IAAIqD,EAAE,EAAE,IAAIC,GAAGtD,EAAE,aAAasD,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEV,CAAC,CAAC,MAAMG,EAAE,KAAK,MAAM,EAAEO,EAAEV,CAAC,EAAE,MAAM,CAAC,OAAOG,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,SAASU,EAAE,CAAC,OAAO,KAAK,KAAK,IAAIA,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,OAAOU,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,CAAC,IAAIV,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,KAAK,IAAIjB,EAAE,CAAC,OAAOV,EAAE,MAAMG,EAAE,SAASwB,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,KAAK,WAAW,CAAC,CAAC,MAAM,KAAKjB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAE,CAAC,GAAG,CAAC,MAAMV,EAAE,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIU,CAAC,EAAE,GAAGV,IAAI,YAAY,CAAC,IAAIG,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAEwB,EAAE,KAAK,SAAS,EAAE,KAAK,MAAM,EAAE,OAAO7T,EAAE,uBAAuBqS,EAAEwB,CAAC,CAAC,CAAC,OAAOrD,EAAE,mCAAmC,KAAK,KAAK,IAAIoC,CAAC,EAAE,OAAOV,CAAC,CAAC,CAAC,WAAWU,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEV,EAAE,IAAIG,GAAG7B,EAAE,aAAa6B,CAAC,CAAC,EAAE,OAAOxR,GAAG+R,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAO/R,GAAG+R,EAAE,MAAMA,EAAE,MAAMV,CAAC,CAAC,CAAC,WAAWU,EAAEV,EAAE,EAAE,CAAC,OAAOvO,GAAG,EAAE,yBAAyB,KAAK,eAAeuO,EAAE,EAAEU,CAAC,EAAE,IAAI,CAAC,CAAC,YAAYA,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,KAAK,IAAIU,CAAC,EAAE,CAAC,GAAG,KAAK,KAAK,IAAIA,CAAC,EAAE,WAAW,CAACV,GAAG,KAAK,KAAK,IAAIU,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,KAAK,IAAIA,CAAC,EAAE,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,EAAE,KAAK,YAAY,EAAE,KAAK,OAAO,EAAE,GAAG,KAAK,KAAK,OAAOA,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,8BAA8BA,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,IAAIV,EAAE1B,EAAE,IAAI,EAAE,OAAOoC,EAAE,EAAE,CAAC,SAASpC,EAAE,IAAI,EAAE0B,CAAC,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,QAAQ,CAAC,oHAAoH,CAAC,CAAC,CAAC,MAAMU,EAAE,CAACsyD,GAAG,CAACtyD,CAAC,EAAE,OAAO,EAAE,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,OAAOuyD,GAAGvyD,EAAE,MAAMV,CAAC,CAAC,CAAC,SAAS,CAAC,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,SAAS,CAAC,OAAO,MAAM,QAAQ,CAAC,CAAC,EAAEkzD,GAAG,WAAW,EAAE,IAAIC,GAAG,CAAC,EAAEpzD,GAAGozD,GAAG,CAAC,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,WAAW,IAAIC,GAAG,UAAU,IAAIC,GAAG,QAAQ,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,aAAa,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,SAAS,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,QAAQ,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,QAAQ,IAAIC,GAAG,aAAa,IAAIC,GAAG,SAAS,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,UAAU,IAAIC,GAAG,UAAU,IAAIC,GAAG,YAAY,IAAIC,GAAG,YAAY,IAAIC,GAAG,cAAc,IAAIC,GAAG,UAAU,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,SAAS,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,QAAQ,IAAIC,GAAG,SAAS,IAAIC,GAAG,SAAS,IAAIC,GAAG,cAAc,IAAIC,GAAG,WAAW,IAAIC,EAAE,CAAC,EAAE,SAASf,GAAGt1D,EAAE,CAAC,IAAI,EAAE,IAAI,aAAaA,EAAE,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,EAAEA,CAAC,EAAE,KAAK,IAAIF,EAAEE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAIo2D,GAAGt2D,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQkzD,GAAG,EAAE,KAAK,EAAE,IAAI9yD,EAAE,IAAI,aAAa5B,EAAE,cAAc,EAAE,KAAK,CAAC,EAAE6B,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,OAAOE,EAAEk1D,GAAGj1D,CAAC,EAAEH,EAAE,WAAWE,EAAE,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEm2D,GAAG,CAAC,WAAWz2E,GAAG,YAAY,MAAM,WAAWw2E,EAAE,EAAE,SAASE,GAAGx2D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,EAAEC,EAAE,IAAI,CAAC,IAAI,EAAErS,EAAE,2BAA2B,EAAEkS,CAAC,EAAE6B,EAAE,EAAE,OAAOC,EAAExD,EAAE,eAAe,CAAC,EAAEyD,EAAEzD,EAAE,cAAc,CAAC,EAAEkE,EAAElE,EAAE,uBAAuB,EAAEyD,CAAC,EAAEU,EAAE,EAAE,OAAOC,EAAE1C,EAAE,OAAO2C,EAAErE,EAAE,eAAe,CAAC,EAAEsE,EAAEtE,EAAE,eAAe0B,CAAC,EAAE8D,EAAEhW,EAAE,iBAAiB,EAAE,CAAC,EAAE,EAAEA,EAAE,iBAAiBkS,EAAE,CAAC,EAAE,GAAG8D,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQsD,EAAE,EAAEA,EAAE5E,EAAE,OAAO,EAAE4E,EAAE5E,EAAE4E,CAAC,EAAEtH,EAAEI,EAAEkH,EAAElH,EAAE,MAAM,EAAEC,EAAEiH,EAAEjH,EAAE,MAAM,CAAC,MAAO,SAAQiH,EAAE,EAAEA,EAAE5E,EAAE,OAAO,EAAE4E,EAAE,CAAC,IAAI,EAAE9I,EAAE,WAAW8I,EAAEvF,EAAEC,CAAC,EAAEyC,EAAE,EAAE,MAAM,CAAC9B,CAAC,EAAEqB,EAAE,QAAQa,GAAGJ,EAAEI,CAAC,EAAE,CAAC,EAAE,IAAIH,EAAElG,EAAE,WAAWiG,EAAE9B,EAAEE,CAAC,EAAE8B,EAAE,EAAE,MAAM,CAAC/B,CAAC,EAAE,EAAE,QAAQiC,GAAGF,EAAEE,CAAC,EAAE,CAAC,EAAE,IAAID,EAAEpG,EAAE,WAAWmG,EAAE/B,EAAEE,CAAC,EAAEJ,EAAE4E,CAAC,EAAEtH,EAAEI,EAAEsE,CAAC,EAAErE,EAAEuE,CAAC,CAAC,CAAC,CAAC,MAAM,CAAClC,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS+zD,GAAGz2D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE7B,EAAE,eAAeE,EAAE,MAAM,WAAW,EAAE4B,EAAE9B,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOC,EAAE,mBAAmB,CAAC,KAAK9B,EAAE,eAAeE,EAAE,MAAM,UAAU,CAAC,EAAE,KAAKF,EAAE,eAAeG,EAAE,MAAM,UAAU,CAAC,CAAC,EAAE0B,CAAC,CAAC,IAAI20D,GAAG,CAAC,WAAW30E,GAAG,YAAY,MAAM,WAAW00E,EAAE,EAAE,SAASE,GAAG32D,EAAE,EAAEE,EAAE,UAAU,CAAC,GAAGA,IAAI,YAAY,CAAC,IAAIG,EAAEs2D,GAAG32D,EAAE,EAAE,SAAS,EAAE,EAAE22D,GAAG32D,EAAE,EAAE,SAAS,EAAE,OAAOy2D,GAAG,CAAC,OAAO,CAAC,KAAKp2D,EAAE,KAAK,CAAC,EAAE,QAAQL,CAAC,CAAC,CAAC,CAAC,IAAII,EAAE5B,EAAE,oBAAoBA,EAAE,cAAc,CAAC,EAAE0B,CAAC,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAEE,CAAC,CAAC,CAAC,SAASw2D,GAAG52D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,OAAOF,EAAE,OAAOE,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIy2D,GAAG,CAAC,WAAWzxE,GAAG,YAAY,MAAM,WAAWwxE,EAAE,EAAE,SAASE,GAAG92D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,OAAOH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAI02D,GAAG,CAAC,WAAW7tE,GAAG,YAAY,MAAM,WAAW4tE,EAAE,EAAE,SAASrD,GAAGzzD,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAGA,IAAI,QAAQ,CAAC,IAAIC,EAAE,WAAW,KAAKL,CAAC,EAAE,MAAM,CAAC,EAAE,QAAQK,CAAC,CAAC,CAAC,GAAGD,IAAI,OAAO,CAAC,IAAIC,EAAE7B,EAAE,aAAa,CAAC,CAAC,EAAE0B,CAAC,EAAE,CAAC,EAAE,CAAC,EAAEs2D,GAAG,CAACz0D,EAAEC,IAAID,IAAIC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEhC,EAAEK,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiCH,QAAQE,GAAG,CAAC,CAAC,SAAS42D,GAAGh3D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAOu2D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIwC,EAAEi0D,GAAGz2D,EAAEG,EAAE,MAAMA,EAAE,KAAK,EAAEsC,EAAEq0D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE0C,EAAE6zD,GAAG,CAAC,OAAO,CAAC,KAAK9zD,EAAE,KAAKD,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEC,CAAC,CAAC,GAAGvC,EAAE,QAAQ,YAAY,CAAC,IAAIqC,EAAEo0D,GAAG,CAAC,OAAO,CAAC,MAAMz2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAEyC,EAAEq0D,GAAG,CAAC,OAAO,CAAC,EAAEt0D,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BwC,CAAC,EAAEC,CAAC,CAAC,GAAG,CAACnE,EAAE,gBAAgB6B,EAAE,MAAM,CAAC,EAAE,CAAC,IAAIqC,EAAEk0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,MAAM,CAAC,OAAOwC,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEwxD,GAAG,EAAEpzD,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,eAAe6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,IAAIg1D,GAAG,CAAC,WAAWr1E,GAAG,YAAY,MAAM,WAAWo1E,EAAE,EAAE,SAASE,GAAGl3D,EAAE,EAAEE,EAAEE,EAAE,CAAC,OAAOF,GAAG,KAAK,CAAC,CAAC,OAAOG,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAEkxD,GAAG,CAAC,EAAEnxD,CAAC,EAAE/B,CAAC,EAAE,IAAIiC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAE,EAAE,QAAQ,SAAS3U,EAAE,uBAAuBiU,CAAC,EAAEA,EAAEW,EAAE,EAAE,QAAQ,SAAS5U,EAAE,uBAAuB0U,CAAC,EAAEA,EAAEG,EAAEzC,GAAG,EAAE,MAAM,CAAC0C,EAAEkB,CAAC,EAAE,EAAE,EAAE,MAAMjC,EAAE,MAAMY,EAAEC,EAAEC,CAAC,EAAE,OAAOb,EAAE,eAAegC,EAAEnB,EAAEC,CAAC,CAAC,EAAE,CAAC,CAAC,OAAOzC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,EAAE,EAAE0B,CAAC,EAAE1B,EAAE2B,EAAE,EAAE,GAAG,EAAE,QAAQ,aAAaD,EAAE,QAAQ,YAAY,CAAC,IAAIE,EAAE+0D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQh1D,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAEU,EAAEV,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAEU,EAAED,EAAE,mBAAmB,KAAKE,EAAEF,EAAE,mBAAmB,KAAKG,EAAEb,EAAE,KAAK,IAAIW,EAAE,MAAM,EAAE,OAAOG,EAAEd,EAAE,KAAK,IAAIY,EAAE,MAAM,EAAE,OAAOoB,EAAEgzD,GAAG,CAAC,OAAO,CAAC,EAAEj1D,CAAC,EAAE,QAAQC,EAAE,MAAM,CAAC,MAAM,WAAW,CAAC,CAAC,EAAE,EAAEA,EAAE,KAAK,IAAIgC,EAAE,MAAM,EAAEsD,EAAE,EAAE,mBAAmB,KAAK,EAAE,EAAE,mBAAmB,KAAK7C,EAAEzC,EAAE,KAAK,IAAIsF,EAAE,MAAM,EAAE,OAAO5C,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC2C,EAAEC,EAAEC,CAAC,EAAE3E,EAAE,EAAE,MAAM6B,EAAE,MAAMc,EAAEC,EAAE2B,EAAEC,CAAC,EAAEK,EAAE/C,EAAE,eAAe6C,EAAE,UAAUF,CAAC,EAAE4C,EAAEvF,EAAE,eAAe6C,EAAE,UAAUD,CAAC,EAAEI,EAAEyxD,GAAG,CAAC,OAAO,CAAC,KAAK1xD,EAAE,KAAKwC,CAAC,EAAE,QAAQvF,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BC,CAAC,EAAED,EAAE,8BAA8BgC,CAAC,EAAEhC,EAAE,8BAA8B+C,CAAC,EAAE/C,EAAE,8BAA8BuF,CAAC,EAAEvC,CAAC,KAAK,CAAC,IAAI/C,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOU,EAAEV,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAOY,EAAEvC,GAAG,EAAE,MAAM,CAACwC,EAAEC,CAAC,EAAE,EAAE,EAAE,MAAMd,EAAE,MAAME,EAAES,EAAEC,CAAC,EAAE,OAAOX,EAAE,eAAea,EAAEF,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,SAASu0D,GAAGn3D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,EAAEC,EAAE,EAAE,IAAI,CAAC,IAAI0B,EAAE/T,EAAE,2BAA2B,EAAEkS,CAAC,EAAE8B,EAAExD,EAAE,cAAcuD,CAAC,EAAEE,EAAEF,EAAE,OAAOW,EAAElE,EAAE,eAAeuD,CAAC,EAAEY,EAAEnE,EAAE,uBAAuB,UAAUwD,CAAC,EAAEY,EAAEpE,EAAE,uBAAuB,UAAUwD,CAAC,EAAEa,EAAE7U,EAAE,iBAAiB,EAAE+T,CAAC,EAAEe,EAAE9U,EAAE,iBAAiBkS,EAAE6B,CAAC,EAAEiC,EAAEhW,EAAE,uBAAuBoS,EAAEC,CAAC,EAAE,EAAErS,EAAE,uBAAuB,EAAE,CAAC,EAAEsZ,EAAE,EAAE,OAAO,EAAE9I,EAAE,eAAe,CAAC,EAAEiG,EAAEvE,EAAE,OAAOwE,EAAElG,EAAE,eAAe0B,CAAC,EAAE,GAAG2C,EAAE,OAAOC,EAAE,SAAS,EAAE,QAAQ6B,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAED,EAAEX,EAAE,OAAOa,EAAEF,EAAE,EAAE,OAAOI,EAAE/E,EAAEgE,EAAEY,EAAE,CAAC,EAAEZ,EAAEY,EAAE,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAElC,EAAEgC,CAAC,EAAEI,EAAE,KAAKnC,EAAE+B,CAAC,EAAEI,EAAE,IAAI,KAAM,SAAQJ,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEpG,EAAE,WAAWmG,EAAE1C,EAAES,CAAC,EAAEmC,EAAED,EAAE,MAAM,CAAC0C,CAAC,EAAEzE,EAAE,QAAQqC,GAAGL,EAAEK,CAAC,EAAE,CAAC,EAAE,IAAIH,EAAEvG,EAAE,WAAWqG,EAAEyC,EAAE,CAAC,EAAEC,EAAE3C,EAAE,MAAM,CAACH,CAAC,EAAE3B,EAAE,QAAQoC,GAAGqC,EAAErC,CAAC,EAAE,CAAC,EAAE,IAAIF,EAAExG,EAAE,WAAW+I,EAAE9C,EAAEC,CAAC,EAAEO,EAAEjF,EAAEgE,EAAEe,EAAE,CAAC,EAAEf,EAAEe,EAAE,EAAE,CAAC,EAAE,EAAEC,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAErC,EAAEgC,CAAC,EAAEM,EAAE,KAAKrC,EAAE+B,CAAC,EAAEM,EAAE,IAAI,CAAC,MAAM,CAACtC,EAAEC,EAAEb,CAAC,CAAC,CAAC,CAAC,IAAIuxD,GAAGkD,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEo3D,GAAGD,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,KAAK,EAAEE,CAAC,EAAE,EAAEi3D,GAAGH,GAAG72E,GAAGizE,GAAG8D,EAAE,EAAEE,GAAG,CAAC,WAAWj3E,GAAG,YAAY,MAAM,WAAWg3E,EAAE,EAAE,SAAS9D,GAAGvzD,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,cAAc4B,CAAC,EAAE,EAAE5B,EAAE,oBAAoB6B,EAAEH,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,EAAE/B,EAAE,OAAO+B,IAAI,CAAC,IAAIC,EAAEhC,EAAE+B,CAAC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG3B,IAAI,EAAE,EAAE,EAAE2B,CAAC,GAAG,EAAED,CAAC,EAAE,EAAEC,CAAC,GAAG,EAAE,CAAC,OAAO,CAAC,CAAC,SAASwxD,GAAGxzD,EAAE,EAAEE,EAAEE,EAAE,GAAG,CAAC,IAAIC,EAAEL,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEnR,GAAG,CAACwR,EAAEH,CAAC,EAAE,EAAE,KAAK,EAAE,QAAQ6B,EAAE,EAAEA,EAAE1B,EAAE0B,IAAI,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEjC,EAAE,IAAI+B,EAAEC,CAAC,EAAE,GAAGC,EAAE,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAEA,GAAG/B,IAAIE,EAAE,EAAE,IAAI,EAAE2B,EAAEE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAE,IAAIF,EAAEC,CAAC,EAAED,EAAEE,CAAC,EAAE,EAAE,IAAI,EAAE,IAAIF,EAAEE,CAAC,EAAE,EAAEF,EAAEE,CAAC,EAAE,CAAC,OAAO,CAAC,CAAC,SAASs1D,GAAGv3D,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAEE,IAAI,CAAC,IAAIC,EAAE7B,EAAE,uBAAuB0B,EAAE,EAAE,MAAM,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,OAAO,EAAE,EAAEG,EAAE,CAAC,EAAEL,EAAE,EAAE,CAAC,EAAEI,CAAC,EAAE,OAAOC,CAAC,CAAC,CAAC,SAASm3D,GAAGx3D,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOE,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG8yD,GAAG,EAAElzD,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI6B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAEzD,EAAE,cAAc,EAAE,KAAK,EAAEkE,EAAExC,GAAG,EAAE,MAAMyC,EAAEnE,EAAE,kBAAkBkE,EAAET,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,CAAC,EAAE,EAAEZ,EAAEY,CAAC,EAAEvC,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAMW,EAAEC,CAAC,CAAC,CAAC,CAAC,SAAS80D,GAAGz3D,EAAE,EAAEE,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOE,EAAE,MAAMC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAED,EAAE,GAAG8yD,GAAG,EAAElzD,CAAC,EAAE,EAAE,QAAQ,UAAUE,IAAI,SAAS,MAAM,IAAI,MAAM,sDAAsD,EAAE,IAAI6B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOE,EAAE/B,GAAG,EAAE,MAAMwC,EAAE,EAAEV,EAAEC,EAAE5B,CAAC,EAAE,OAAO0B,EAAE,eAAe,EAAE,MAAME,EAAES,CAAC,CAAC,CAAC,CAAC,IAAIgxD,GAAG6D,GAAGv3D,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE03D,GAAGD,GAAG51E,GAAG6xE,EAAE,EAAEiE,GAAG,CAAC,WAAW91E,GAAG,YAAY,MAAM,WAAW61E,EAAE,EAAE,SAAS/D,GAAG3zD,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,kBAAkB0B,EAAE1B,EAAE,cAAc,CAAC,CAAC,EAAE,GAAG4B,GAAGF,IAAI,SAAS,CAAC,IAAI,EAAE,EAAEF,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAEvD,EAAE,cAAc,EAAE,KAAK,EAAE6B,EAAE,IAAI,EAAE,KAAK,CAAC,EAAE,GAAG0B,CAAC,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,EAAE/B,EAAE,QAAQ,GAAG,CAAC,IAAI+B,EAAE7B,IAAI,SAASlS,EAAE,uBAAuB,EAAE,IAAI,EAAE,EAAE,KAAKgU,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,CAAC,IAAIS,EAAET,EAAE,EAAE,CAAC,EAAE,EAAE,QAAQU,EAAE,EAAEA,EAAE,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAEtC,EAAEqC,EAAEC,CAAC,EAAEZ,EAAEC,GAAG,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,IAAIuzD,GAAG4C,GAAG,CAACx2D,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAE43D,GAAGV,GAAGpzE,GAAG8vE,GAAG,KAAK,MAAM,EAAEiE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAM/D,GAAG0D,GAAGv3D,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE83D,GAAGL,GAAGzzE,GAAG6vE,GAAG,SAAS,EAAEkE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAMhE,GAAGyD,GAAGv3D,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEg4D,GAAGP,GAAGvzE,GAAG4vE,EAAE,EAAEmE,GAAG,CAAC,WAAW/zE,GAAG,YAAY,MAAM,WAAW8zE,EAAE,EAAMjE,GAAGwD,GAAGv3D,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEk4D,GAAGT,GAAGnzE,GAAGyvE,EAAE,EAAEoE,GAAG,CAAC,WAAW7zE,GAAG,YAAY,MAAM,WAAW4zE,EAAE,EAAE,SAASlE,GAAGh0D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAE,CAAC,IAAIC,EAAEpT,GAAG,CAACuR,EAAE,CAAC,EAAEF,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEtC,EAAEsC,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAE9C,EAAE0C,EAAErC,EAAEwC,CAAC,EAAED,GAAGE,EAAE,EAAED,CAAC,EAAEF,EAAE,KAAKG,CAAC,CAAC,CAAC,GAAGF,EAAE,GAAGA,GAAGZ,EAAE,EAAE,MAAM,IAAI,MAAM,oBAAoBW,yBAAyBZ,GAAG,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAIZ,EAAE,OAAOS,EAAE,EAAEG,CAAC,EAAE,EAAE,IAAI,GAAG,EAAE,WAAWD,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,OAAOZ,CAAC,CAAC,SAASgyD,GAAGj0D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEvR,GAAGqR,EAAEF,EAAE,KAAK,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIyB,EAAE1B,EAAE,WAAWC,CAAC,EAAE,MAAM,EAAE0B,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAE,EAAE,EAAE,WAAW,CAACC,EAAEC,CAAC,CAAC,EAAEF,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAE,IAAIY,EAAE1C,EAAE,WAAW8B,CAAC,EAAE,GAAGY,GAAGA,EAAE1C,EAAE,OAAO,SAASI,EAAE,OAAOC,CAAC,EAAEL,EAAE,OAAO0C,CAAC,EAAE,CAAC,OAAOtC,CAAC,CAAC,IAAI+zD,GAAGqC,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEo4D,GAAGlB,GAAGlyE,GAAGmvE,GAAG,KAAK,MAAM,EAAEkE,GAAG,CAAC,WAAWrzE,GAAG,YAAY,MAAM,WAAWozE,EAAE,EAAMlE,GAAGsC,GAAG,CAACx2D,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAEs4D,GAAGpB,GAAGjyE,GAAGivE,GAAG,KAAK,MAAM,EAAEqE,GAAG,CAAC,WAAWtzE,GAAG,YAAY,MAAM,WAAWqzE,EAAE,EAAMjE,GAAGmC,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAE,CAAC,EAAEw4D,GAAGtB,GAAGlxE,GAAGquE,GAAG,KAAK,MAAM,EAAEoE,GAAG,CAAC,WAAWzyE,GAAG,YAAY,MAAM,WAAWwyE,EAAE,EAAMpE,GAAGoC,GAAG,CAACx2D,EAAE,IAAIA,GAAG,EAAE,EAAE,CAAC,EAAE04D,GAAGxB,GAAGjxE,GAAGmuE,GAAG,KAAK,MAAM,EAAEuE,GAAG,CAAC,WAAW1yE,GAAG,YAAY,MAAM,WAAWyyE,EAAE,EAAE,SAASpE,GAAGt0D,EAAE,EAAEE,EAAE,CAAC,IAAIE,GAAG,EAAEJ,IAAIE,EAAE,GAAGG,EAAE7B,EAAE,oBAAoB0B,EAAE,SAAS,EAAEG,EAAE,CAAC,EAAEL,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,IAAIA,EAAE,CAAC,EAAEA,EAAE,EAAE,CAAC,EAAED,EAAE,OAAOC,CAAC,CAAC,IAAIk0D,GAAGgD,GAAGv3D,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE44D,GAAGnB,GAAGtxE,GAAGouE,EAAE,EAAEsE,GAAG,CAAC,WAAW1yE,GAAG,YAAY,MAAM,WAAWyyE,EAAE,EAAE,SAASpE,GAAGx0D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,uBAAuB4B,EAAE5B,EAAE,cAAc0B,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEG,EAAE,OAAO,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE0B,EAAE/B,EAAE,CAAC,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEjC,EAAE,EAAEgC,CAAC,GAAG,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC5B,EAAE,CAAC,EAAE0B,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAIo0D,GAAG+B,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAE84D,GAAG5B,GAAGhwE,GAAGutE,EAAE,EAAEsE,GAAG,CAAC,WAAW7xE,GAAG,YAAY,MAAM,WAAW4xE,EAAE,EAAMpE,GAAG8B,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEg5D,GAAG9B,GAAG7vE,GAAGqtE,EAAE,EAAEuE,GAAG,CAAC,WAAW5xE,GAAG,YAAY,MAAM,WAAW2xE,EAAE,EAAMrE,GAAG6B,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEk5D,GAAG/B,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,EAAEE,EAAE,KAAKJ,EAAEI,EAAE,EAAEF,CAAC,EAAE,EAAEi5D,GAAGjC,GAAGxvE,GAAGitE,GAAGuE,EAAE,EAAEE,GAAG,CAAC,WAAW1xE,GAAG,YAAY,MAAM,WAAWyxE,EAAE,EAAE,SAASvE,GAAG50D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE5B,EAAE,kBAAkB,GAAG0B,CAAC,EAAE,OAAOy0D,GAAG,CAAC,EAAE,EAAEv0D,EAAEJ,EAAEE,CAAC,CAAC,CAAC,SAASm5D,GAAGr5D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE8yD,GAAG9yD,EAAE,KAAK,EAAE,IAAIC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC,EAAEw0D,GAAGv0D,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe,EAAEE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIk5D,GAAG,CAAC,WAAW3xE,GAAG,YAAY,MAAM,WAAW0xE,EAAE,EAAMxE,GAAG2B,GAAG,CAACx2D,EAAE,IAAIA,IAAI,EAAE,EAAE,CAAC,EAAEu5D,GAAGrC,GAAGnvE,GAAG8sE,GAAG,KAAK,MAAM,EAAE2E,GAAG,CAAC,WAAWzxE,GAAG,YAAY,MAAM,WAAWwxE,EAAE,EAAE,SAASnD,GAAGp2D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,OAAO,EAAE7B,EAAE,cAAc,CAAC,EAAEuD,EAAEvD,EAAE,eAAe,CAAC,EAAEwD,EAAExD,EAAE,eAAe6B,CAAC,EAAE4B,EAAEzD,EAAE,uBAAuB0B,EAAE1B,EAAE,cAAc6B,CAAC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAEnE,EAAE,WAAWkE,EAAE,EAAEX,CAAC,EAAEa,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAE,QAAQG,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,CAAC,EAAEH,EAAEvC,EAAE0C,CAAC,CAAC,EAAE,IAAID,EAAErE,EAAE,WAAWoE,EAAE,EAAEZ,CAAC,EAAEC,EAAEY,CAAC,EAAE7C,EAAE0C,CAAC,CAAC,CAAC,OAAOT,CAAC,CAAC,SAASw3D,GAAGz5D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAEH,EAAEgzD,GAAG7yD,EAAE,WAAW,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,IAAIA,EAAE,CAAC,EAAE1B,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,IAAI2B,EAAE5B,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4B,EAAEm0D,GAAGp0D,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE0B,CAAC,EAAE,MAAM,CAAC,OAAO3B,EAAE,MAAM6B,EAAEF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIq5D,GAAG,CAAC,WAAWntE,GAAG,YAAY,MAAM,WAAWktE,EAAE,EAAE,SAAS3E,GAAG90D,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAErS,EAAE,0BAA0BgS,EAAEI,CAAC,EAAE,EAAE9B,GAAG,EAAE,OAAO,EAAEyD,EAAEvD,EAAE,oBAAoBA,EAAE,cAAc6B,CAAC,EAAE,CAAC,EAAE2B,EAAExD,EAAE,cAAc,CAAC,EAAE,QAAQyD,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIS,EAAET,EAAED,EAAEW,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEZ,EAAE,EAAEY,EAAED,GAAGzC,EAAEwC,EAAEE,CAAC,EAAEb,EAAEE,CAAC,EAAEU,CAAC,CAAC,MAAM,CAAC,QAAQZ,EAAE,SAAS1B,EAAE,SAAS,CAAC,CAAC,CAAC,SAASs5D,GAAG35D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAEjU,EAAE,mBAAmBgU,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEtC,EAAEuC,EAAE,CAAC,EAAEX,GAAG,OAAOU,EAAE82D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAEW,EAAE,KAAKD,CAAC,EAAED,EAAE1U,EAAE,iBAAiB0U,EAAE,OAAOX,CAAC,GAAG,IAAIc,EAAE3C,EAAE,KAAK,IAAIyC,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQG,EAAE,SAASkB,EAAE,SAAS,CAAC,EAAE8wD,GAAGnyD,EAAE,MAAMA,EAAE,MAAME,EAAEH,CAAC,EAAE4E,EAAEtD,EAAE,OAAO,IAAIsD,EAAEtZ,EAAE,qBAAqBgW,EAAEhC,CAAC,GAAGY,EAAE,QAAQ,GAAG1C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAeoH,EAAE,EAAExE,CAAC,CAAC,CAAC,IAAI82D,GAAG,CAAC,WAAWlxE,GAAG,YAAY,MAAM,WAAWixE,EAAE,EAAE,SAASE,GAAG75D,EAAE,EAAEE,EAAE,CAACF,EAAE,QAAQ,CAACI,EAAEC,IAAI,CAAC,GAAGD,EAAE,GAAGA,GAAGF,EAAE,CAAC,IAAI,EAAE1B,EAAE,WAAW6B,EAAE,EAAE,OAAO7B,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,IAAI,MAAM,WAAW,QAAQ4B,mBAAmBF,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS45D,GAAG95D,EAAE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAEG,EAAEH,IAAIF,EAAE,OAAO,EAAE,EAAEA,EAAEE,EAAE,CAAC,EAAE,OAAO,GAAGE,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,gCAAgC,EAAE,GAAGA,EAAE,CAAC,EAAE,EAAE,MAAM,IAAI,MAAM,oCAAoC,EAAE,GAAGA,EAAEA,EAAE,OAAO,CAAC,EAAEC,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,iDAAiD,CAAC,CAAC,CAAC,SAAS25D,GAAG/5D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,OAAO,EAAEH,EAAE,OAAO6B,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,IAAI,CAAC,CAAC,CAAC,EAAE+3D,GAAG55D,EAAEE,CAAC,EAAE,IAAI4B,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAE,EAAEA,EAAE,CAACD,GAAG,EAAEC,CAAC,EAAE,IAAIS,EAAE,EAAET,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAEX,EAAE,EAAE,EAAEW,EAAEZ,EAAEE,CAAC,EAAE,KAAKU,EAAED,CAAC,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,EAAE,CAAC,IAAIS,EAAE1C,EAAEiC,CAAC,EAAEU,EAAE3C,EAAEiC,CAAC,EAAE,EAAE,QAAQW,EAAE,EAAEA,EAAE1C,EAAE,OAAO,EAAE0C,EAAE,CAAC,IAAIC,EAAE3C,EAAE0C,CAAC,EAAEE,EAAEF,EAAE,EAAE,OAAO,EAAE,GAAGE,GAAG,EAAE,CAAC,IAAIkB,EAAEjC,EAAEe,CAAC,EAAE,EAAEkB,EAAEA,EAAE,OAAO,CAAC,EAAEnB,EAAEH,CAAC,EAAE,QAAQ4E,EAAE5E,EAAE4E,EAAE3E,EAAE,EAAE2E,EAAEvF,EAAEe,CAAC,EAAE,KAAKD,EAAEyE,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC5E,EAAEG,EAAEH,CAAC,EAAEC,EAAEE,EAAEF,CAAC,CAAC,CAACA,IAAID,IAAIrC,EAAE,KAAK,CAACqC,EAAEC,CAAC,CAAC,EAAE,GAAGA,EAAED,EAAE,CAAC,MAAM,CAAC,UAAUX,EAAE,YAAY1B,EAAE,UAAU,CAAC,CAAC,CAAC,SAAS25D,GAAGh6D,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEE,CAAC,EAAE,OAAOG,EAAE7B,EAAE,kBAAkB,QAAQ4B,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAEL,EAAEE,CAAC,EAAE,QAAQ,CAAC,EAAE,IAAIG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAAS45D,GAAGj6D,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,CAAC,EAAE,KAAKE,EAAE,OAAO,GAAGA,EAAE,KAAK,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIF,EAAE,EAAE,CAAC,GAAGF,EAAEI,CAAC,EAAE,OAAOF,CAAC,CAAC,SAASg6D,GAAGl6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE45D,GAAG,EAAE,CAAC,EAAE,CAAC,EAAEl4D,EAAEk4D,GAAG,EAAE,CAAC,EAAE,CAAC,EAAEj4D,EAAE,EAAE,QAAQC,KAAK/B,EAAE,QAAQwC,EAAET,EAAE,CAAC,EAAES,EAAET,EAAE,CAAC,EAAE,EAAES,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAEtC,EAAE2B,EAAED,EAAEY,CAAC,EAAE3C,EAAE0C,EAAE,EAAEC,CAAC,EAAE,EAAEX,CAAC,CAAC,CAAC,SAASm4D,GAAGn6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,EAAE,EAAE,CAAC,EAAEA,EAAE,IAAI,EAAE7B,EAAE,kBAAkB0B,EAAE1B,EAAE,cAAc,CAAC,CAAC,EAAEuD,EAAE/B,EAAE,OAAOgC,EAAED,IAAI,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,OAAOm4D,GAAGl6D,EAAE,EAAEI,EAAE4B,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,SAAS+yD,GAAG/0D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,GAAG/B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,GAAG,EAAE,CAAC,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAIgC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,GAAG63D,GAAG,EAAE,EAAE73D,CAAC,EAAE5B,EAAE,SAAS,EAAE,MAAM,IAAI,MAAM,6BAA6B,EAAE,IAAI6B,EAAE7B,EAAE,CAAC,EAAE,CAAC,UAAUsC,EAAE,YAAYC,EAAE,UAAUC,CAAC,EAAEm3D,GAAG,EAAE,EAAE/5D,EAAEiC,CAAC,EAAEY,EAAEm3D,GAAGt3D,CAAC,EAAEI,EAAEq3D,GAAGj6D,EAAEE,EAAEC,EAAEsC,EAAEC,CAAC,EAAE,MAAM,CAACC,EAAEC,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIs3D,GAAG,WAAW,SAASpF,GAAGh1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAGA,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,GAAG,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,mCAAmC,EAAE,IAAI0B,EAAE,EAAE,SAAS,EAAEC,EAAE3B,EAAE,SAAS,EAAE4B,EAAE,EAAE,SAAS,EAAES,EAAE,CAAC,EAAEX,GAAGW,EAAE,KAAK,EAAE,CAAC,CAAC,EAAEV,GAAGU,EAAE,KAAKrC,EAAE,CAAC,CAAC,EAAE4B,GAAGS,EAAE,KAAK,EAAE,CAAC,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAE,GAAGA,EAAE,CAAC,IAAIA,EAAE,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,qDAAqD,EAAE,IAAIC,EAAED,EAAE,SAAS,EAAE,EAAEA,EAAE,CAAC,EAAEE,EAAEpE,EAAE,kBAAkB,QAAQmE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAI2E,EAAEvF,EAAE/B,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEgC,EAAE5B,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEqE,EAAExC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,GAAGwC,IAAI,EAAE,MAAM,IAAI,MAAM,qBAAqB,EAAE,IAAIC,EAAE,GAAGD,EAAE,GAAG,EAAE6C,GAAG7C,EAAE,GAAG,EAAE6C,EAAE5C,EAAE,UAAUA,EAAE,KAAK,KAAK,KAAK,KAAK,EAAE4C,GAAG7C,CAAC,CAAC,EAAEC,EAAE01D,GAAG,MAAM,IAAI,MAAM,yCAAyCA,IAAI,EAAEx3D,EAAE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE8B,CAAC,CAAC,IAAI7B,EAAED,EAAED,CAAC,EAAEG,EAAEtE,EAAE,kBAAkB0B,EAAE2C,CAAC,EAAEmB,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAErB,EAAE,EAAE,EAAE,CAAC,IAAI2E,EAAE1E,EAAE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEb,EAAE/B,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEyE,EAAExC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAE4C,EAAE,EAAE5C,EAAE5B,EAAEkB,GAAG,EAAE,EAAE,GAAGS,CAAC,CAAC,MAAM,CAAC7B,EAAEE,CAAC,CAAC,CAAC,IAAIu3D,GAAGrsE,EAAE,iBAAiBssE,GAAG,KAAK,CAAC,YAAY15D,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAEC,EAAE,EAAEU,EAAE,CAAC,KAAK,MAAM9B,EAAE,KAAK,WAAWV,EAAE,KAAK,OAAO,EAAE,KAAK,YAAYG,EAAE,KAAK,YAAYwB,EAAE,KAAK,aAAaC,EAAE,KAAK,kBAAkBC,EAAE,KAAK,mBAAmBC,EAAE,KAAK,yBAAyB,EAAE,KAAK,kBAAkBhU,EAAE,2BAA2B0U,CAAC,EAAE,KAAK,WAAW1U,EAAE,cAAc,KAAK,iBAAiB,CAAC,CAAC,+BAA+B4S,EAAE,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAIy5D,GAAG,eAAe,KAAK,kBAAkBz5D,EAAE,CAAC,EAAE,KAAK,kBAAkBA,CAAC,CAAC,CAAC,sBAAsBA,EAAE,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAIy5D,GAAG,eAAe,KAAK,mBAAmBz5D,EAAE,CAAC,EAAE,KAAK,mBAAmBA,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,IAAIV,EAAE,KAAK,sBAAsBU,EAAE,CAAC,EAAE,OAAO,KAAK,+BAA+BA,EAAE,CAAC,EAAE,CAAC,KAAKy5D,GAAG,aAAa,OAAOC,GAAG,sBAAsBp6D,CAAC,EAAE,KAAKm6D,GAAG,WAAW,OAAOC,GAAG,oBAAoBp6D,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,gCAAgCm6D,GAAG,KAAK,+BAA+Bz5D,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,OAAO,oBAAoBA,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,GAAGV,IAAI,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAEP,EAAE,CAAC,EAAEO,EAAEP,CAAC,EAAEwB,EAAE,IAAI,EAAEA,EAAE,CAAC,OAAO,CAAC,CAAC,OAAO,sBAAsBjB,EAAE,CAAC,IAAIV,EAAEU,EAAE,OAAO,GAAGV,IAAI,EAAE,MAAO,GAAE,IAAI,EAAE,EAAEG,EAAEO,EAAE,CAAC,EAAEiB,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEnB,EAAEkB,CAAC,EAAEC,IAAI1B,IAAIA,EAAE0B,EAAEF,EAAE,KAAK,IAAIC,EAAE,EAAED,CAAC,EAAE,EAAEC,EAAE,CAAC,OAAO,KAAK,IAAI5B,EAAE,EAAE2B,CAAC,CAAC,CAAC,sBAAsBjB,EAAEV,EAAE,EAAE,GAAG,CAAC,GAAGA,EAAE,SAAS,EAAE,CAAC,GAAGU,EAAE,CAAC,IAAI,GAAG,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,gFAAgF,CAAC,CAAC,OAAO25D,GAAG35D,EAAE,CAAC,CAAC,CAAC,oBAAoBA,EAAE,CAAC,IAAIV,EAAE,KAAK,YAAY,EAAE,KAAK,kBAAkBlS,EAAE,0BAA0B,EAAEkS,CAAC,EAAE,IAAIG,EAAE,KAAK,sBAAsB,KAAK,MAAM,KAAK,UAAU,EAAEyB,EAAE9T,EAAE,kCAAkC,KAAK,WAAWqS,EAAEH,CAAC,EAAE4B,EAAE,CAAC,EAAE,IAAIA,EAAE,CAAC,EAAElB,GAAG,QAAQmB,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAEC,CAAC,EAAE,IAAID,EAAEC,CAAC,EAAE,KAAK,YAAYA,CAAC,GAAG,OAAOD,CAAC,CAAC,gCAAgClB,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,KAAK,IAAIO,EAAE,CAAC,EAAEiB,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE1B,EAAE,EAAE0B,EAAED,GAAG5B,EAAE2B,EAAE,KAAKC,CAAC,EAAE,QAAQC,EAAE1B,EAAE0B,EAAEnB,EAAE,EAAEmB,EAAEF,EAAE,KAAK,EAAE,EAAE,OAAOrD,EAAE,OAAOqD,EAAE,SAASjB,EAAE,IAAI,yDAAyD,EAAEiB,CAAC,CAAC,6BAA6BjB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAEpB,EAAEmB,EAAE,CAAC,EAAEnB,EAAEmB,CAAC,EAAE,EAAE,KAAK,IAAI1B,EAAE2B,CAAC,EAAEU,EAAExC,EAAE6B,CAAC,EAAEW,IAAI,KAAK,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEZ,EAAE,KAAKY,CAAC,EAAEA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAEV,EAAE,EAAE,EAAE,EAAEF,EAAE,KAAK,EAAE,CAAC,CAAC,GAAGD,EAAE,GAAGC,EAAE,SAASlB,EAAEiB,EAAE,CAAC,EAAE,MAAM,IAAI,MAAM,yBAAyB,EAAE,OAAOC,CAAC,CAAC,+BAA+BlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAEjB,EAAE,OAAOkB,EAAE,CAAC,EAAE,GAAGD,IAAI,EAAE,MAAM,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAEpB,EAAE,CAAC,EAAE,GAAGoB,GAAG9B,EAAE,OAAO,MAAM,IAAI,MAAM,yBAAyB8B,6BAA6B9B,EAAE,QAAQ,EAAE,IAAI,EAAEA,EAAE8B,CAAC,EAAEF,EAAE,KAAK,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,CAAC,EAAE,GAAG,IAAIV,EAAE,GAAG,IAAI,EAAED,EAAEA,EAAE1B,EAAE,GAAG,EAAE,EAAE,QAAQ,CAAC,GAAG0B,EAAE,EAAEC,EAAE,EAAE,GAAG9B,EAAE,OAAO,MAAM,IAAI,MAAM,sBAAsB,4BAA4BA,EAAE,QAAQ,EAAE,EAAEA,EAAE,CAAC,CAAC,CAAC4B,EAAE,KAAK,CAAC,CAAC,CAAC,GAAGA,EAAE,SAASlB,EAAE,OAAO,MAAM,IAAI,MAAM,kBAAkB,EAAE,OAAOkB,CAAC,CAAC,qBAAqBlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,IAAIwB,EAAE,KAAK,sBAAsBjB,CAAC,EAAEkB,EAAE,KAAK,+BAA+BlB,CAAC,EAAE,OAAOkB,EAAE,CAAC,KAAKu4D,GAAG,aAAa,OAAO,KAAK,+BAA+Bx4D,EAAE3B,EAAE,EAAEG,CAAC,EAAE,KAAKg6D,GAAG,WAAW,GAAGx4D,EAAE,OAAO,EAAE3B,EAAE,OAAO,MAAM,IAAI,MAAM,mDAAmD2B,EAAE,OAAO,OAAO3B,EAAE,QAAQ,EAAE,OAAO,KAAK,6BAA6B2B,EAAE3B,EAAE,EAAEG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,+BAA+Bg6D,GAAGv4D,CAAC,GAAG,CAAC,CAAC,CAAC,uBAAuB,CAAC,IAAIlB,EAAE,KAAK,mBAAmB,CAAC,EAAE,GAAG,KAAK,kBAAkB,SAAS,EAAE,MAAM,IAAI,MAAM,+BAA+B,EAAE,IAAIV,EAAE,KAAK,kBAAkB,CAAC,EAAE,OAAOA,EAAE,CAAC,KAAKm6D,GAAG,eAAe,OAAOz5D,EAAE,CAAC,EAAE,KAAKy5D,GAAG,aAAa,MAAM,IAAI,MAAM,gDAAgD,EAAE,KAAKA,GAAG,WAAW,OAAO,KAAK,yBAAyB,CAAC,EAAE,CAAC,EAAE,EAAE,QAAQ,MAAM,IAAI,MAAM,sBAAsBA,GAAGn6D,CAAC,GAAG,CAAC,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,mBAAmB,CAAC,EAAE,QAAQ,EAAE,MAAM,IAAI,MAAM,sEAAsE,EAAE,IAAI,EAAE,KAAK,sBAAsB,EAAEE,EAAE,KAAK,oBAAoB,CAAC,EAAEC,EAAE,IAAI,MAAM,KAAK,WAAW,CAAC,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,QAAQ2B,EAAE3B,EAAE,OAAO,EAAE2B,GAAG,EAAE,EAAEA,EAAE3B,EAAE2B,CAAC,EAAE3B,EAAE2B,EAAE,CAAC,EAAE5B,EAAE4B,EAAE,CAAC,EAAE,IAAIH,EAAE04D,GAAGn6D,EAAE,EAAE,EAAE0B,EAAEtD,EAAE,kBAAkB,KAAK,YAAYA,EAAE,cAAcqD,CAAC,CAAC,EAAE,GAAGxB,EAAE,CAAC,EAAED,EAAE,CAAC,EAAE,EAAE,CAAC,IAAI4B,EAAE,KAAK,gCAAgC,EAAE3B,EAAE,CAAC,EAAED,EAAE,CAAC,CAAC,EAAE,QAAQ6B,EAAE,EAAEA,GAAG,KAAK,WAAW,EAAEA,EAAED,EAAE,KAAK,qBAAqBC,EAAE,EAAED,EAAE3B,EAAE4B,CAAC,EAAE7B,EAAE6B,CAAC,CAAC,EAAE,KAAK,UAAU,KAAK,WAAWD,EAAEF,EAAED,CAAC,CAAC,CAAC,MAAM,CAACA,EAAEC,CAAC,CAAC,CAAC,UAAUlB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,EAAE,SAAS,EAAE,OAAO,IAAIwB,EAAE,KAAK,OAAOC,EAAE,EAAEC,EAAE1B,EAAE,MAAM,EAAE0B,EAAEA,EAAE,MAAMnB,EAAE,CAAC,EAAE,IAAIoB,EAAExD,EAAE,cAAcuD,CAAC,EAAE,EAAE7B,EAAE,OAAOwC,EAAE,KAAK,aAAa,GAAGA,EAAE,SAASV,GAAGU,EAAE,SAAS,EAAE,CAAC,IAAII,EAAE,KAAK,kBAAkBpF,EAAE,IAAI,CAAC,IAAIsG,EAAEtK,EAAEgJ,EAAEI,CAAC,EAAEJ,EAAEhU,GAAGsV,EAAEjC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,IAAI,EAAE,EAAEa,EAAE,EAAEC,EAAE,EAAE,QAAQC,EAAE,EAAEA,GAAG,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAElB,EAAE,EAAE5C,EAAE4C,CAAC,EAAE,GAAG,GAAGkB,IAAInB,EAAE,CAAC,EAAEA,EAAE,QAAQ,CAAC,GAAGD,EAAEC,EAAE,CAAC,IAAIoB,EAAEpC,EAAE,SAAS,EAAEG,CAAC,EAAEsF,EAAExF,EAAE,SAASc,EAAEZ,CAAC,EAAE8C,GAAGjC,EAAED,GAAGZ,EAAEw4D,GAAGlzD,EAAErD,EAAEa,CAAC,CAAC,CAAC,GAAGhC,GAAG,EAAE,CAAC,IAAImB,EAAE,EAAE,OAAOD,EAAE,KAAK,MAAMC,EAAEjC,CAAC,CAAC,CAAC,GAAGgC,EAAEnB,EAAE,GAAG,KAAK,aAAa,SAAS,EAAEf,EAAE,SAASe,EAAEb,EAAEgC,EAAEhC,CAAC,EAAE,KAAK,KAAK,aAAa,CAAC,CAAC,EAAEa,EAAEmB,MAAO,MAAKA,EAAEnB,GAAG,CAAC,IAAIoB,EAAEnC,EAAE,MAAMe,EAAEb,CAAC,EAAEw4D,GAAGv2D,EAAEvB,EAAEV,CAAC,EAAE,EAAEa,CAAC,CAACmB,EAAE,GAAG,EAAElB,EAAE,EAAEF,EAAEC,IAAI,EAAEC,EAAEF,EAAEC,EAAEA,EAAED,EAAE,EAAE,CAAC,CAAC,EAAE,SAAS43D,GAAGx6D,EAAE,EAAEE,EAAE,CAAC,QAAQE,EAAE,EAAEA,EAAEF,EAAEE,IAAIJ,EAAEI,CAAC,EAAE,EAAEA,CAAC,CAAC,CAAC,SAASm6D,GAAGv6D,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,QAAQE,KAAKJ,EAAE,CAAC,GAAGI,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,MAAM,IAAI,MAAM,aAAaA,gBAAgB,EAAE,GAAGA,EAAE,GAAG,MAAM,IAAI,MAAM,aAAaA,iBAAiB,EAAEA,EAAE,EAAE,CAACF,EAAE,KAAKE,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS+0D,GAAGj1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,OAAO,IAAIq4D,GAAGt6D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,QAAQ,CAAC,CAAC,SAASizD,GAAGl1D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,IAAI,EAAE,EAAEA,EAAE,GAAGE,EAAE,EAAE,EAAE,EAAEF,GAAGE,EAAE,EAAE,GAAGG,GAAG,GAAG,EAAE,OAAO7B,EAAE,oBAAoB,EAAE4B,CAAC,EAAE,IAAI2B,EAAE,KAAK,IAAI,KAAK,MAAM,EAAE/B,GAAGE,CAAC,CAAC,EAAE8B,EAAExD,EAAE,oBAAoBuD,EAAE3B,CAAC,EAAE,EAAEJ,GAAGE,IAAI,IAAIA,EAAE,IAAI8B,EAAE,CAAC,EAAEhC,EAAE,QAAQiC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,CAAC,EAAED,EAAEC,EAAE,CAAC,EAAE/B,EAAE,OAAO8B,CAAC,CAAC,IAAImzD,GAAGoC,GAAGv3D,GAAG,EAAE,KAAK,KAAKA,CAAC,CAAC,EAAEy6D,GAAGhD,GAAGztE,GAAGmrE,EAAE,EAAEuF,GAAG,CAAC,WAAW1wE,GAAG,YAAY,MAAM,WAAWywE,EAAE,EAAE,SAASrF,GAAGp1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,CAAC,IAAIS,EAAE,CAACtC,EAAEC,EAAEA,CAAC,EAAEsC,EAAE3C,EAAE,OAAO4C,EAAE,EAAE,OAAO,GAAGxC,IAAI,EAAE,OAAOvR,GAAGqR,EAAE,EAAE,KAAK,EAAE,IAAI2C,EAAEhU,GAAG6T,EAAE,EAAE,KAAK,EAAE,OAAOV,GAAG,UAAU,OAAOA,GAAG,SAASa,EAAE,OAAO,KAAKb,CAAC,EAAE,OAAOA,GAAG,WAAWa,EAAE,OAAO,KAAK,CAACb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIkB,EAAE,CAAC,EAAE,EAAE,EAAE,QAAQsD,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE3E,EAAEG,EAAE,EAAEwE,CAAC,EAAEtD,EAAE,KAAK,CAAC,EAAE,GAAG,EAAEjC,EAAEuF,CAAC,CAAC,CAAC,GAAG,EAAE,GAAG,GAAGlH,EAAEC,EAAE,MAAM,IAAI,MAAM,oBAAoB2D,yBAAyB9D,GAAG,EAAE,QAAQoH,EAAE,EAAEA,EAAEjH,EAAEiH,IAAIrF,EAAEY,EAAE,OAAO,EAAExC,EAAEiH,CAAC,GAAG1E,EAAEE,EAAEzC,EAAEiH,CAAC,EAAEzE,EAAE,OAAO,EAAExC,EAAEiH,CAAC,EAAE,EAAE,OAAO,EAAE1E,EAAE,CAAC,EAAEA,EAAEE,EAAEzC,EAAEiH,CAAC,CAAC,CAAC,OAAOzE,CAAC,CAAC,IAAIwyD,GAAGkC,GAAGv3D,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAE26D,GAAGnD,GAAGjtE,GAAGyV,GAAG,GAAG,EAAE,KAAK,IAAI,CAACA,CAAC,EAAE,EAAE46D,GAAG,CAAC,WAAWrwE,GAAG,YAAY,MAAM,WAAWowE,EAAE,EAAE,SAASpF,GAAGv1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAEzE,GAAG,iBAAiBwE,EAAE,EAAEF,CAAC,EAAE,EAAE1B,EAAE,cAAc0B,CAAC,EAAE6B,EAAEvD,EAAE,eAAe4B,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIuC,EAAE/G,GAAG,kBAAkB,EAAEmG,CAAC,EAAE,OAAO1B,IAAI,SAASL,EAAE,MAAM2C,EAAEA,EAAE,CAAC,EAAE3C,EAAE,SAAS2C,EAAEA,EAAE,CAAC,CAAC,CAAC,IAAIX,EAAE3B,IAAI,SAASrS,EAAE,uBAAuBgS,CAAC,EAAEA,EAAEiC,EAAEpT,GAAGuR,EAAEC,EAAE2B,CAAC,EAAEU,EAAE7T,GAAGqR,EAAEG,CAAC,EAAE,QAAQsC,EAAE,EAAEA,EAAED,EAAE,KAAK,EAAEC,EAAE,CAAC,IAAIC,EAAEF,EAAE,WAAWC,CAAC,EAAEE,EAAED,EAAE,IAAI,CAACE,EAAEkB,IAAIlB,EAAE,EAAEkB,CAAC,CAAC,EAAEtB,EAAE,IAAIT,EAAE,IAAI,GAAGY,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOvC,IAAI,SAASrS,EAAE,uBAAuB0U,EAAE,MAAM,EAAEA,EAAE,MAAM,CAAC,SAASm4D,GAAG76D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,OAAO,EAAE,GAAG,CAAC0B,EAAEC,CAAC,EAAEpG,GAAG,iBAAiByE,EAAE,EAAE,CAAC,EAAEzE,GAAG,kBAAkByE,EAAE0B,EAAEC,CAAC,EAAE,IAAIC,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAE6yD,GAAGtzD,EAAEF,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOH,EAAE,eAAe8B,EAAE3B,EAAE,MAAMqC,CAAC,CAAC,CAAC,IAAIo4D,GAAG,CAAC,WAAWnwE,GAAG,YAAY,MAAM,WAAWkwE,EAAE,EAAE,SAASrF,GAAGx1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,CAAC,EAAEC,EAAE,IAAI,MAAMD,CAAC,EAAEU,EAAE,IAAI,MAAMX,CAAC,EAAEY,EAAE,EAAE,CAAC,EAAE,GAAGX,IAAI,EAAE,CAAC,GAAGD,IAAI,EAAE,MAAM,IAAI,MAAM/T,EAAE,gDAAgD+T,CAAC,CAAC,EAAE,IAAI,EAAEvD,EAAE,kBAAkB0B,EAAE,CAAC,EAAEoH,EAAE9I,EAAE,kBAAkB6B,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEsC,CAAC,EAAE2E,EAAErF,EAAES,CAAC,CAAC,CAAC,IAAIE,EAAE,GAAGC,EAAE,EAAEC,EAAE,IAAI,MAAMd,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAED,EAAE,EAAE,EAAE,CAAC,IAAIuF,EAAEtH,EAAE,EAAE2C,CAAC,EAAE,GAAG2E,EAAE,EAAE,MAAM,IAAI,MAAMtZ,EAAE,gDAAgD,EAAEsZ,CAAC,CAAC,EAAE,GAAGA,GAAGtF,EAAE,MAAM,IAAI,MAAMhU,EAAE,kDAAkD,EAAEsZ,EAAEtF,CAAC,CAAC,EAAE,EAAEc,EAAEwE,CAAC,EAAE1E,EAAEA,GAAG0E,GAAGzE,EAAEA,EAAEyE,CAAC,CAAC,IAAItD,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAEhC,EAAE,EAAE,EAAE,CAAC,IAAIsF,EAAExE,EAAE,CAAC,IAAI,EAAEb,EAAE,CAAC,EAAEqF,EAAEtD,EAAEA,GAAG,CAACsD,EAAExE,EAAE,CAAC,EAAE,KAAK,IAAIA,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,IAAIA,EAAE,CAAC,GAAGA,EAAE,EAAE,CAAC,EAAE,CAAC,GAAGkB,GAAGpB,EAAE,CAAC,IAAI,EAAE5C,EAAEsH,EAAElH,EAAE,QAAQ,EAAE,EAAE,EAAE2B,EAAE,EAAE,EAAEW,EAAE,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,CAACX,EAAEY,CAAC,EAAE2E,EAAErF,EAAES,CAAC,CAAC,KAAK,CAAC,IAAI,EAAEI,EAAEd,EAAE,CAAC,EAAEsF,EAAE9I,EAAE,kBAAkB0B,EAAE,EAAEyC,CAAC,EAAE,EAAEnE,EAAE,kBAAkB6B,EAAE,CAAC,EAAEoE,EAAE,IAAI,MAAMzC,CAAC,EAAE,KAAK,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE3C,EAAE,EAAE2C,EAAE,CAAC,IAAIC,EAAE3E,EAAE0E,EAAE/B,CAAC,EAAEiC,EAAEH,EAAEE,CAAC,EAAEE,GAAGF,IAAI,EAAE,EAAE7B,EAAE6B,EAAE,CAAC,GAAGC,EAAEH,EAAEE,CAAC,IAAI,QAAQI,EAAE,EAAEA,EAAEpC,EAAE,EAAEoC,EAAEuC,EAAEzC,EAAElC,EAAEoC,CAAC,EAAE/E,EAAE0E,EAAE/B,EAAEoC,CAAC,EAAE,EAAEF,CAAC,EAAEzE,EAAEsE,CAAC,EAAEhC,EAAEgC,CAAC,EAAEG,CAAC,CAAC,QAAQH,EAAE,EAAEA,EAAE1C,EAAE,EAAE0C,EAAE,GAAGD,EAAEC,CAAC,IAAI,EAAE,CAAC,IAAIE,EAAEF,IAAI,EAAE,EAAE5B,EAAE4B,EAAE,CAAC,EAAE4C,EAAE1C,EAAEjC,EAAE,CAAC,EAAE+B,EAAE,QAAQG,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAEyC,EAAE1C,EAAEjC,EAAEkC,CAAC,EAAE,EAAE,EAAED,CAAC,EAAE,CAAC,CAAC,MAAM,CAAC0C,EAAE,CAAC,EAAE3E,CAAC,EAAE,EAAEV,EAAES,CAAC,CAAC,CAAC,CAAC,SAAS+yD,GAAGz1D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,cAAc4B,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE2B,EAAE1B,EAAE,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE,GAAG,QAAQuB,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAE,CAAC,IAAIqD,EAAEjH,EAAE4D,CAAC,EAAE,GAAGqD,IAAI,GAAG,CAAC,GAAG5E,IAAI,GAAG,MAAM,IAAI,MAAM1U,EAAE,yDAAyD0U,EAAEuB,CAAC,CAAC,EAAEvB,EAAEuB,EAAEjC,EAAE,KAAK,CAAC,CAAC,KAAK,CAAC,GAAGsF,EAAE,EAAE,MAAM,IAAI,MAAMtZ,EAAE,8CAA8CiW,EAAEqD,CAAC,CAAC,EAAErF,GAAGqF,EAAEtF,EAAE,KAAKsF,CAAC,CAAC,CAAC,CAAC,GAAG5E,IAAI,GAAG,CAAC,GAAGT,GAAG,EAAE,MAAM,IAAI,MAAMjU,EAAE,qDAAqD,CAAC,EAAE,IAAIiW,EAAE,KAAK,MAAM,EAAEhC,CAAC,EAAE,GAAGA,EAAEgC,IAAI,EAAE,MAAM,IAAI,MAAMjW,EAAE,gDAAgDoS,EAAE4B,CAAC,CAAC,EAAEA,EAAEU,CAAC,EAAEuB,CAAC,CAAC,GAAGzF,EAAE,cAAcwD,CAAC,IAAI,EAAE,MAAM,IAAI,MAAMhU,EAAE,gDAAgDoS,EAAE4B,CAAC,CAAC,EAAE,IAAIY,EAAExC,EAAE,OAAOyC,EAAE,CAAC,EAAE,GAAGD,EAAE,EAAE,CAACC,EAAED,EAAE,CAAC,EAAE,EAAE,QAAQqB,EAAErB,EAAE,EAAEqB,GAAG,EAAE,EAAEA,EAAEpB,EAAEoB,CAAC,EAAEpB,EAAEoB,EAAE,CAAC,EAAE7D,EAAE6D,EAAE,CAAC,CAAC,CAAC,IAAInB,EAAE,CAAC,EAAE,GAAGf,EAAE,EAAE,CAACe,EAAEf,EAAE,CAAC,EAAE,EAAE,QAAQkC,EAAElC,EAAE,EAAEkC,GAAG,EAAE,EAAEA,EAAEnB,EAAEmB,CAAC,EAAEnB,EAAEmB,EAAE,CAAC,EAAEjC,EAAEiC,EAAE,CAAC,CAAC,CAAC,IAAID,EAAExF,EAAE,kBAAkB0B,EAAE,EAAE6B,CAAC,EAAE,QAAQkC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIqD,EAAE,EAAE,QAAQxC,EAAE,EAAEA,EAAElC,EAAE,EAAEkC,EAAEwC,GAAGtH,EAAEiE,EAAErB,EAAEkC,CAAC,EAAEjC,EAAEiC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAE/C,EAAE,EAAE+C,EAAEd,EAAEC,EAAElC,EAAE+C,CAAC,EAAE,KAAK,MAAMwC,EAAExE,EAAEgC,CAAC,CAAC,EAAEwC,GAAGxE,EAAEgC,CAAC,CAAC,CAAC,MAAM,CAACd,EAAE,CAAC,EAAEjC,CAAC,EAAEC,CAAC,CAAC,CAAC,SAAS0zD,GAAG11D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,IAAI0B,EAAE3B,EAAE,OAAO4B,EAAE,CAAC,EAAE,CAAC,EAAEhC,EAAE,OAAO,EAAE,CAAC,CAAC,EAAEiC,EAAED,EAAE,CAAC,EAAE,EAAED,EAAE,EAAE1B,EAAE0B,EAAE,CAAC,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM/T,EAAE,wDAAwD,CAAC,EAAE,IAAI4U,EAAE,EAAE,MAAM,EAAEA,EAAE,CAAC,EAAE,EAAE,IAAIC,EAAED,EAAE,OAAO,CAAC6B,EAAEC,IAAID,EAAEC,EAAE,CAAC,EAAE5B,EAAEtE,EAAE,kBAAkB0B,EAAE2C,CAAC,EAAE,GAAGd,IAAI,EAAE,OAAO,EAAE,GAAGe,EAAE,KAAK,CAAC,EAAE,CAACA,EAAEF,CAAC,EAAE,GAAG,GAAG,EAAE,MAAM,IAAI,MAAM5U,EAAE,wDAAwD,CAAC,EAAE,IAAIgW,EAAE,EAAEC,EAAE,EAAEqD,EAAE,EAAExC,EAAEzE,EAAE2D,CAAC,EAAE,OAAO,CAAC,IAAIS,EAAE,EAAE,GAAGR,EAAElC,EAAE,CAAC,GAAG0C,EAAEpE,EAAE4D,CAAC,EAAEa,IAAIL,EAAE,CAAC,EAAER,EAAE,QAAQ,CAAC,GAAGa,GAAGL,EAAE,MAAM,IAAI,MAAMzW,EAAE,6DAA6D,CAAC,CAAC,CAAC,GAAG8W,EAAE,GAAGA,GAAG,EAAE,MAAM,IAAI,MAAM9W,EAAE,yDAAyD8W,EAAE,CAAC,CAAC,EAAEA,EAAEwC,GAAGxE,EAAE,KAAK,EAAEwE,EAAErF,EAAE6C,EAAE7C,CAAC,EAAE,QAAQyC,EAAEV,EAAEU,EAAET,EAAE,EAAES,EAAE,CAAC,IAAIC,EAAEvE,EAAEsE,CAAC,EAAE,GAAGC,EAAE,GAAGA,GAAG3C,EAAE,CAAC,EAAE,MAAM,IAAI,MAAMhU,EAAE,uDAAuD0W,EAAEtE,EAAEsE,CAAC,EAAE1C,EAAE,CAAC,CAAC,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI9B,EAAEgC,EAAE7C,EAAE2C,CAAC,GAAG5E,EAAE2E,EAAE1C,EAAE2C,CAAC,CAAC,CAAC,GAAG,EAAE,QAAQF,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI5B,EAAEgC,EAAE7C,EAAEyC,CAAC,GAAGT,EAAED,EAAE,GAAGA,EAAEC,EAAE,EAAEA,EAAEqD,EAAExC,EAAE,EAAEA,EAAEL,EAAER,EAAElC,EAAE,KAAK,CAAC,OAAOuF,EAAE,GAAGxE,EAAE,KAAK,EAAEwE,EAAErF,EAAE,EAAEA,CAAC,EAAE,CAACa,EAAEF,CAAC,CAAC,CAAC,IAAI+yD,GAAG4B,GAAGv3D,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE+6D,GAAGvD,GAAGnsE,GAAG2U,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEg7D,GAAG,CAAC,WAAW3vE,GAAG,YAAY,MAAM,WAAW0vE,EAAE,EAAMnF,GAAGY,GAAG,CAACx2D,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOE,EAAEA,CAAC,CAAC,EAAE+6D,GAAG/D,GAAG3rE,GAAGqqE,EAAE,EAAEsF,GAAG,CAAC,WAAW3vE,GAAG,YAAY,MAAM,WAAW0vE,EAAE,EAAE,SAASpF,GAAG71D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAExR,GAAGmR,EAAE,EAAE,KAAK,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,KAAK,IAAI,CAAC,IAAI,EAAEA,EAAE,WAAW,CAAC,EAAE0B,EAAE,IAAI,MAAM,EAAE,MAAM,EAAE,QAAQC,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,CAAC,EAAE,EAAEA,CAAC,EAAE9B,EAAE8B,CAAC,EAAE5B,EAAE4B,CAAC,EAAE3B,EAAE,IAAI,EAAE,IAAI,GAAG0B,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,OAAO1B,CAAC,CAAC,IAAI86D,GAAG,KAAK,CAAC,YAAYv6D,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,UAAUtD,EAAE,aAAaoC,CAAC,EAAE,KAAK,YAAYV,EAAE,KAAK,QAAQ1B,EAAE,aAAa,CAAC,EAAE,KAAK,SAASA,EAAE,aAAa6B,CAAC,EAAE,KAAK,SAASwB,EAAE,KAAK,cAAcC,CAAC,CAAC,YAAYlB,EAAE,CAAC,OAAO,KAAK,IAAI,KAAK,SAAS,EAAEA,EAAE,EAAE,KAAK,SAASA,EAAE,CAAC,CAAC,CAAC,aAAaA,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,YAAYA,CAAC,EAAE,OAAO,KAAK,IAAI,EAAEU,EAAE,EAAE,EAAEV,EAAE,CAAC,CAAC,CAAC,aAAaU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,QAAQC,EAAE,EAAEA,EAAEF,EAAE,EAAEE,EAAE,CAAC,IAAIC,EAAE,KAAK,YAAYF,CAAC,EAAE,EAAE,KAAK,IAAI,EAAEE,EAAED,CAAC,EAAEW,EAAE,KAAK,IAAI,EAAEV,GAAGH,GAAGE,EAAE,GAAG,EAAE,EAAED,GAAG,EAAEY,GAAGE,EAAE1C,GAAG,EAAE,EAAE,EAAE6B,EAAEC,GAAGa,EAAE,EAAEA,GAAG,EAAE,KAAK,QAAQ,OAAO,QAAQiC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEjC,GAAGjC,EAAEgC,EAAEkC,CAAC,EAAE,OAAOjC,GAAGH,EAAE,KAAK,SAAS,OAAO,IAAII,EAAE,EAAEJ,EAAE,EAAE,EAAEG,GAAGC,EAAE,KAAK,UAAU,OAAO,EAAEzC,EAAE0B,CAAC,EAAE,IAAI,WAAWc,CAAC,EAAE,IAAImB,EAAE,EAAE3D,EAAE0B,CAAC,EAAEkC,EAAE,EAAEqD,EAAExC,GAAGA,EAAE,QAAQL,GAAGT,EAAEC,GAAG,EAAEQ,CAAC,EAAE,QAAQK,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAEwC,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,SAAS,EAAE,QAAQxC,EAAE,EAAEA,EAAE,EAAE,EAAE,EAAEA,EAAEwC,EAAE1G,EAAEgC,EAAEkC,CAAC,CAAC,EAAEwC,EAAE,KAAK,SAAS,EAAE,GAAG,EAAE,EAAE,CAACA,EAAE1G,EAAEgC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQkC,EAAE,EAAEA,EAAEpC,EAAE,EAAEoC,EAAEwC,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,KAAK,CAAC,QAAQxC,EAAE,EAAEA,EAAEpC,EAAE,EAAE,EAAEoC,EAAEwC,EAAE,KAAK,QAAQ,EAAEA,EAAE,KAAK,SAAS,EAAEA,EAAE,KAAK,QAAQ,CAAC,CAAC,CAAC,CAAC,QAAQ1G,EAAEV,EAAE,CAAC,IAAI,EAAEU,EAAE,OAAOP,EAAEH,EAAE,OAAO,GAAGG,EAAE,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,CAAC,EAAE,GAAG8B,IAAI,EAAE,MAAM,IAAI,MAAM,oCAAoCA,GAAG,EAAE,QAAQ,EAAE,EAAE,EAAE3B,EAAE,EAAE,EAAE,CAAC,IAAIqC,EAAExC,EAAE,CAAC,GAAG8B,EAAE,GAAGU,EAAEA,GAAGxC,EAAE,CAAC,GAAG,EAAE,CAACwC,EAAE,MAAM,IAAI,MAAM,uBAAuBxC,EAAE,CAAC,kBAAkB8B,MAAM,IAAI,EAAEA,EAAE9B,EAAE,CAAC,CAAC,CAAC,GAAG8B,IAAI,EAAE,MAAM,IAAI,MAAM,gDAAgD,UAAUA,GAAG,CAAC,CAAC,IAAIH,EAAExB,EAAE,EAAEyB,EAAEtD,EAAE,kBAAkB,QAAQ6B,CAAC,EAAE,GAAG,IAAI,GAAGA,IAAI,EAAE,CAAC,IAAI2B,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAGH,EAAE,EAAE,EAAEC,EAAE,CAAC,EAAE,EAAE,MAAM,CAACE,EAAEF,CAAC,CAAC,CAACA,EAAE,CAAC,EAAE,EAAE,QAAQE,EAAE,EAAEA,GAAGH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,CAAC,EAAE9B,EAAE8B,EAAE,CAAC,EAAEU,EAAE,EAAE,KAAK,YAAY,QAAQ,GAAG,CAACA,GAAG,KAAK,aAAa,EAAE,CAAC,CAAC,CAAC,EAAE,KAAK,eAAe,EAAE,GAAGA,IAAI,IAAIA,EAAE,GAAGZ,EAAEE,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAEU,CAAC,CAAC,IAAIX,EAAE,IAAI,MAAMD,EAAED,CAAC,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,CAAC,EAAEU,EAAEZ,EAAEE,CAAC,EAAE,GAAG,KAAK,YAAY,QAAQ,GAAG,CAAC,IAAIY,EAAE1C,EAAE8B,EAAE,CAAC,EAAE9B,EAAE8B,CAAC,EAAEa,EAAE,KAAK,aAAaD,EAAE,CAAC,EAAE,KAAK,aAAahC,EAAE,EAAEmB,EAAEW,EAAEG,EAAE,CAAC,EAAEH,GAAGG,CAAC,CAAC,EAAE,KAAK,eAAeH,IAAIZ,EAAEE,CAAC,EAAE,CAAC,IAAI,EAAE9B,EAAE8B,EAAE,CAAC,EAAE9B,EAAE8B,CAAC,EAAE,GAAG,IAAI,EAAE,SAAS,IAAIY,EAAE,EAAE,EAAE,KAAK,SAASC,EAAE,EAAE,KAAK,aAAajC,EAAE,EAAEmB,EAAEW,EAAEG,EAAED,CAAC,CAAC,CAAC,CAAC,MAAM,CAACb,EAAED,CAAC,CAAC,CAAC,EAAE,SAASg0D,GAAG91D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,OAAO,IAAIo5D,GAAGj7D,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,CAAC,EAAE,QAAQ/B,EAAE,CAAC,CAAC,CAAC,SAASo7D,GAAGp7D,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACJ,EAAE,OAAO,OAAO,GAAG,EAAE,SAAS,EAAE,CAAC,QAAQ,EAAE,EAAE,EAAEA,EAAE,OAAO,EAAE,EAAEI,EAAE,KAAKJ,EAAE,SAAS,EAAE,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,EAAE,SAAS,EAAE,CAAC,IAAI,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,QAAQ,CAAC,EAAE,KAAK,IAAI,IAAI,CAAC,IAAI+B,EAAE/B,EAAE,SAAS,EAAE,CAAC,GAAG,CAACE,GAAG6B,EAAE,SAAS,IAAI3B,EAAE,KAAK2B,CAAC,EAAE/B,EAAEA,EAAE,SAAS,EAAE,CAAC,EAAE,EAAEA,EAAE,QAAQ,CAAC,CAAC,EAAE,CAACE,GAAGF,EAAE,SAAS,IAAII,EAAE,KAAKJ,CAAC,EAAE,MAAM,CAAC,IAAIK,EAAE,EAAE,QAAQ,EAAE,EAAE,EAAEL,EAAE,OAAO,EAAE,IAAI,GAAG,IAAIA,EAAE,QAAQ,EAAE,QAAQA,EAAE,CAAC,CAAC,IAAI,GAAG,CAAC,IAAI,EAAEA,EAAE,SAASK,EAAE,CAAC,GAAG,CAACH,GAAG,EAAE,SAAS,IAAIE,EAAE,KAAK,CAAC,EAAEC,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS01D,GAAG/1D,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,OAAOK,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE0B,EAAE,IAAI,MAAM3B,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,CAAC,IAAIC,EAAExC,EAAE,OAAO+6D,GAAGp7D,EAAE4C,CAAC,EAAE,EAAE1C,EAAEG,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,OAAOwC,EAAEd,EAAEa,CAAC,EAAEE,EAAE,GAAGA,EAAE,EAAE,KAAK,IAAI,EAAEA,CAAC,CAAC,CAAC,IAAId,EAAExD,EAAE,kBAAkB,QAAQ,EAAE,CAAC,EAAEyD,EAAE,IAAI,MAAM,CAAC,EAAES,EAAE,CAACtC,EAAE,CAAC,EAAEuC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEd,EAAEa,CAAC,EAAE,EAAEC,EAAEb,EAAEW,EAAE,CAAC,EAAEC,EAAEZ,EAAEW,EAAE,EAAE,CAAC,EAAEE,EAAEZ,EAAEU,CAAC,EAAEtC,EAAEsC,CAAC,EAAE,EAAEA,EAAE,MAAM,CAACX,EAAEC,EAAES,CAAC,CAAC,CAAC,SAASszD,GAAGh2D,EAAE,EAAE,CAAC,IAAIE,EAAE1B,EAAE,kBAAkB,QAAQwB,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEJ,EAAE,OAAO,EAAEI,EAAEF,EAAEE,CAAC,EAAE5B,EAAE,cAAcwB,EAAEI,CAAC,CAAC,EAAE,OAAO,CAAC,EAAE,mBAAmB,EAAE,OAAOF,CAAC,CAAC,IAAI+1D,GAAGO,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEq7D,GAAGlE,GAAG,CAACn3D,EAAE,EAAEE,EAAEE,KAAK,CAAC,KAAKJ,EAAEE,EAAE,KAAK,EAAEE,CAAC,EAAE,EAAEk7D,GAAGpE,GAAGrrE,GAAGoqE,GAAGoF,EAAE,EAAEE,GAAG,CAAC,WAAW1vE,GAAG,YAAY,MAAM,WAAWyvE,EAAE,EAAE,SAASpF,GAAGl2D,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,IAAI,EAAE,QAAQK,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,CAAC,EAAEL,EAAE,MAAMK,CAAC,EAAE,EAAEA,CAAC,EAAE,IAAID,EAAEvR,GAAGqR,EAAEF,EAAE,KAAK,EAAE,QAAQK,EAAE,EAAEA,EAAED,EAAE,OAAO,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAED,EAAE,WAAWC,CAAC,EAAE,EAAE,IAAI,MAAML,EAAE,IAAI,EAAE,QAAQgC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,EAAE,EAAEA,CAAC,EAAEhC,EAAE,MAAMgC,CAAC,EAAE,IAAID,EAAE/B,EAAE,WAAW,CAAC,EAAEI,EAAE,OAAOC,CAAC,EAAEL,EAAE,OAAO+B,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,IAAIo7D,GAAG,CAACx7D,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,MAAMF,EAAE,MAAM,OAAOE,IAAI,EAAEF,EAAE,MAAM,EAAE,MAAME,CAAC,EAAE,SAASu7D,GAAGz7D,EAAE,EAAEE,EAAE,EAAEE,EAAEJ,EAAE,OAAO,EAAE,CAAC,KAAKI,EAAEF,GAAG,CAAC,GAAGE,EAAEF,EAAE,IAAI,CAAC,IAAI6B,EAAE3B,EAAEF,EAAE,EAAE8B,EAAE,EAAE9B,EAAE,EAAE+B,EAAE,KAAK,IAAIF,CAAC,EAAEW,EAAE,GAAG,KAAK,IAAI,EAAET,EAAE,CAAC,EAAEU,EAAE,GAAG,KAAK,KAAKV,EAAES,GAAGX,EAAEW,GAAGX,CAAC,EAAE,KAAK,KAAKC,EAAED,EAAE,CAAC,EAAEa,EAAE,KAAK,IAAI1C,EAAE,KAAK,MAAM,EAAE8B,EAAEU,EAAEX,EAAEY,CAAC,CAAC,EAAEE,EAAE,KAAK,IAAIzC,EAAE,KAAK,MAAM,GAAG2B,EAAEC,GAAGU,EAAEX,EAAEY,CAAC,CAAC,EAAE84D,GAAGz7D,EAAE,EAAE4C,EAAEC,CAAC,CAAC,CAAC,IAAIxC,EAAEL,EAAE,CAAC,EAAE,EAAEE,EAAE,EAAEE,EAAE,IAAI5B,EAAE,KAAKwB,EAAEE,EAAE,CAAC,EAAEs7D,GAAGx7D,EAAEI,CAAC,EAAEC,CAAC,EAAE,GAAG7B,EAAE,KAAKwB,EAAEE,EAAEE,CAAC,EAAE,EAAE,GAAG,CAAC,IAAI5B,EAAE,KAAKwB,EAAE,EAAE,CAAC,EAAE,IAAI,IAAIw7D,GAAGx7D,EAAE,CAAC,EAAEK,CAAC,EAAE,GAAG,EAAE,EAAE,EAAE,KAAKm7D,GAAGx7D,EAAE,CAAC,EAAEK,CAAC,EAAE,GAAG,EAAE,EAAE,CAAC,CAACm7D,GAAGx7D,EAAEE,CAAC,EAAEG,CAAC,IAAI,EAAE7B,EAAE,KAAKwB,EAAEE,EAAE,CAAC,GAAG,EAAE,EAAE,EAAE1B,EAAE,KAAKwB,EAAE,EAAEI,CAAC,GAAG,GAAG,IAAIF,EAAE,EAAE,GAAG,GAAG,IAAIE,EAAE,EAAE,EAAE,CAAC,CAAC,SAAS+1D,GAAGn2D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE0B,CAAC,EAAE,CAAC/B,EAAE,OAAO,EAAE,CAAC,EAAEgC,EAAExD,EAAE,uBAAuB0B,EAAE,EAAEE,CAAC,EAAE6B,EAAEzD,EAAE,uBAAuB,QAAQ,EAAE4B,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAEc,EAAE7C,EAAE,SAAS4C,EAAEA,EAAEb,CAAC,EAAEe,EAAE,IAAI,MAAMD,EAAE,MAAM,EAAEA,EAAE,QAAQ,CAAC,EAAE4B,IAAI3B,EAAE2B,CAAC,EAAE,CAAC,MAAM,EAAE,MAAMA,CAAC,CAAC,EAAErE,EAAE0C,EAAE,SAAS24D,GAAG34D,EAAE1C,CAAC,EAAE0C,EAAEA,EAAE,MAAM,EAAE1C,CAAC,GAAGC,GAAGyC,EAAE,KAAK04D,EAAE,EAAE,IAAIx3D,EAAErB,EAAEvC,EAAE,EAAE4B,EAAE,SAASgC,EAAEA,EAAE5D,CAAC,EAAEkH,EAAErF,EAAE,SAAS+B,EAAEA,EAAE5D,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAE0C,EAAE,CAAC,EAAE,MAAMwE,EAAE,CAAC,EAAExE,EAAE,CAAC,EAAE,KAAK,CAAC,IAAIJ,EAAE,EAAE,MAAM,EAAE,OAAOA,EAAEA,EAAE,OAAO,CAAC,EAAEtC,EAAE,CAACvR,GAAG6T,EAAExC,EAAE8B,CAAC,EAAEnT,GAAG6T,EAAE,QAAQT,CAAC,CAAC,CAAC,CAAC,SAASo0D,GAAGr2D,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,eAAe,EAAE0B,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQ4C,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,EAAE,CAAC,GAAG5C,EAAE4C,CAAC,EAAE,EAAE,CAAC,EAAE5C,EAAEG,CAAC,EAAE,QAAQyC,EAAEzC,EAAE,EAAEyC,EAAE5C,EAAE,OAAO4C,IAAI,EAAE,CAAC,GAAG5C,EAAE4C,CAAC,EAAE,IAAI,EAAE,CAAC,EAAEf,EAAE,IAAI,WAAW7B,EAAEG,CAAC,CAAC,EAAE2B,EAAE,IAAI7V,GAAG,EAAEiU,EAAEJ,CAAC,EAAEiC,EAAE,CAAC,EAAES,EAAE,EAAE,CAAC,IAAI,GAAG,EAAE,CAAC,IAAI,EAAE,QAAQI,EAAE,EAAEA,EAAE5C,EAAEG,CAAC,EAAEyC,IAAI,CAAC,IAAIkB,EAAE,GAAGtB,EAAEsB,EAAEhE,EAAE8C,CAAC,EAAE,SAAS,MAAM,CAAC,IAAI,EAAE,CAAC,EAAE,QAAQwE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAEA,IAAI,QAAQ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,EAAE,KAAKtF,EAAE,IAAIsF,EAAExE,EAAE,CAAC,CAAC,EAAEkB,EAAE,EAAE,KAAK,GAAG,CAAC,CAAC,GAAG,EAAEA,CAAC,IAAI,OAAOjC,EAAEe,CAAC,EAAE,EAAEkB,CAAC,MAAM,CAAC,IAAI,EAAE,OAAO,KAAK,CAAC,EAAE,OAAO,EAAEA,CAAC,EAAE,EAAEjC,EAAEe,CAAC,EAAE,EAAEb,EAAE,KAAKa,CAAC,CAAC,CAAC,CAAC,IAAIH,EAAE,EAAE,MAAM,EAAEA,EAAE,CAAC,EAAE,OAAO,KAAK,CAAC,EAAE,OAAO,IAAIC,EAAE,IAAIzW,GAAGwW,EAAEvC,CAAC,EAAE6B,EAAE,QAAQ,CAACa,EAAEkB,IAAI,CAAC,QAAQ,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,IAAI,QAAQsD,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAEA,IAAI1E,EAAE,IAAIZ,EAAE,IAAI,EAAEc,EAAEwE,CAAC,EAAE,EAAEtD,EAAEsD,CAAC,CAAC,CAAC,EAAE,IAAIzE,EAAE3C,EAAE,MAAM,EAAE,OAAO2C,EAAExC,CAAC,EAAEsC,EAAE,CAAC,EAAE,CAAC,aAAaC,EAAE,OAAO,YAAYC,EAAE,QAAQd,CAAC,CAAC,CAAC9I,GAAG,MAAM,IAAI,IAAIm6D,GAAG,CAAC,EAAE,IAAIsI,GAAGlE,GAAG7zE,GAAGqc,GAAGA,GAAG,EAAEA,EAAE,KAAK,IAAIA,CAAC,EAAE,CAAC,EAAE27D,GAAG,CAAC,WAAWh4E,GAAG,YAAY,MAAM,WAAW+3E,EAAE,EAAE,SAASE,GAAG57D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,WAAW,EAAE,IAAI,EAAE7B,EAAE,cAAc6B,EAAE,KAAK,EAAE0B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAExD,EAAE,uBAAuB,UAAU,CAAC,EAAE,QAAQyD,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAID,EAAEC,CAAC,EAAEF,EAAEE,CAAC,EAAE,EAAE,EAAEF,EAAEE,CAAC,EAAEF,EAAEE,CAAC,EAAE,OAAO/B,EAAE,eAAeG,EAAE,MAAM,UAAU2B,CAAC,CAAC,CAAC,IAAI65D,GAAG,CAAC,WAAW91E,GAAG,YAAY,MAAM,WAAW61E,EAAE,EAAME,GAAGtF,GAAG,CAACx2D,EAAE,IAAIA,EAAE,EAAE,EAAEA,EAAEA,CAAC,EAAE,SAAS+7D,GAAG/7D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,CAAC,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,CAAC,EAAE85D,GAAG17D,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,SAAS,EAAE,OAAOH,EAAE,eAAe8B,EAAE,UAAUD,CAAC,CAAC,CAAC,IAAIi6D,GAAG,CAAC,WAAWvzE,GAAG,YAAY,MAAM,WAAWszE,EAAE,EAAME,GAAGzE,GAAGluE,GAAG0W,GAAG,KAAK,IAAI,EAAEA,CAAC,CAAC,EAAEk8D,GAAG,CAAC,WAAW5yE,GAAG,YAAY,MAAM,WAAW2yE,EAAE,EAAME,GAAG3E,GAAGjuE,GAAGyW,GAAG,KAAK,IAAI,KAAK,IAAI,EAAEA,CAAC,EAAE,CAAC,CAAC,EAAEo8D,GAAG,CAAC,WAAW7yE,GAAG,YAAY,MAAM,WAAW4yE,EAAE,EAAE,SAASE,GAAGr8D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,GAAGH,IAAI,SAAS,OAAO02D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ52D,CAAC,CAAC,EAAE,GAAGE,IAAI,OAAO,OAAO+7D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQj8D,CAAC,CAAC,EAAE,GAAGE,IAAI,MAAM,OAAOw7D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ17D,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAOi8D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQn8D,CAAC,CAAC,EAAE,GAAGE,IAAI,QAAQ,OAAO67D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,MAAM37D,CAAC,EAAE,QAAQJ,CAAC,CAAC,EAAE,GAAGE,IAAI,YAAY,OAAO07D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ57D,EAAE,MAAM,CAAC,MAAMK,CAAC,CAAC,CAAC,EAAE,GAAGH,IAAI,UAAU,OAAOy6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ36D,CAAC,CAAC,EAAE,MAAM,IAAI,MAAM,cAAcE,iDAAiD,CAAC,CAAC,SAASo8D,GAAGt8D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAE5B,EAAE,cAAc6B,EAAE,KAAK,EAAE0B,EAAEvD,EAAE,uBAAuB,EAAE,CAAC,EAAEwD,EAAExD,EAAE,cAAcuD,CAAC,EAAEvD,EAAE,OAAO,IAAIwD,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC3B,EAAE,cAAc,gFAAgF,EAAEH,EAAE,OAAOG,EAAE,MAAM,EAAE,IAAI4B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,GAAG4B,EAAE,oBAAoB,KAAK,CAAC,IAAIS,EAAET,EAAE,mBAAmB,KAAKU,EAAEV,EAAE,mBAAmB,KAAKS,EAAE,MAAMX,EAAEY,EAAE,MAAMZ,CAAC,CAAC,MAAM,CAAC,OAAO1B,EAAE,OAAO,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAIk8D,GAAG,CAAC,WAAW/yE,GAAG,YAAY,MAAM,WAAW8yE,EAAE,EAAE,SAASE,GAAGx8D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,CAAC,EAAE3B,EAAE,MAAM2B,EAAE,CAAC,EAAEW,EAAEZ,EAAE,EAAE,MAAME,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,CAAC,EAAE3B,EAAE,MAAM2B,EAAE,CAAC,EAAEa,EAAEd,EAAE,EAAE,MAAME,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAExF,EAAE,cAAcsE,CAAC,EAAEwE,EAAE9I,EAAE,cAAcwF,CAAC,EAAES,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAErE,EAAE,OAAOkE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACuF,EAAEzE,EAAEF,CAAC,EAAE,CAAC2E,EAAE3E,EAAEE,CAAC,EAAE+B,EAAE03D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAEG,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,EAAEI,EAAE,EAAEH,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE2C,EAAE,EAAE3C,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEI,EAAEjD,EAAE8C,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEI,EAAE,KAAK,IAAI,EAAEqC,CAAC,EAAEpC,EAAEhF,EAAE,KAAK,IAAI0E,EAAE,MAAM,EAAE,OAAOO,EAAEjF,EAAE,KAAK,IAAI2E,EAAE,MAAM,EAAE,OAAOO,EAAE5G,EAAE,eAAeoG,EAAE,KAAK,EAAES,EAAE7G,EAAE,eAAeqG,EAAE,KAAK,EAAE,CAACmD,EAAEP,EAAEQ,CAAC,EAAE,EAAE,CAAC7C,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,EAAE,CAACA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC8C,EAAGC,EAAGC,CAAE,EAAErG,EAAE,CAAC,EAAEsD,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,CAACA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,CAAC,EAAEgD,GAAGd,EAAEvC,EAAEsD,GAAGzZ,GAAG,CAACoW,EAAEsC,EAAEvC,CAAC,EAAEJ,EAAE,KAAK,EAAE8B,GAAG4B,GAAG,OAAOE,GAAGtI,EAAE,UAAU,QAAQuI,GAAG,EAAEA,GAAGxD,EAAEwD,KAAK,CAAC,IAAIC,GAAGD,GAAG,EAAEE,GAAGF,GAAGnB,EAAE,QAAQsB,GAAG,EAAEA,GAAGrB,EAAEqB,IAAIJ,GAAG,CAAC,IAAIK,GAAG,KAAK,IAAID,GAAGJ,GAAGjB,CAAC,EAAE,QAAQ2B,GAAG,EAAEA,GAAGlE,EAAEkE,IAAIV,GAAG,CAAC,IAAIW,GAAG,KAAK,IAAID,GAAGV,GAAGxD,CAAC,EAAE,QAAQoE,GAAG,EAAEA,GAAGrE,EAAEqE,IAAIZ,GAAG,CAAC,IAAI7B,GAAG,KAAK,IAAIyC,GAAGZ,GAAGzD,CAAC,EAAE,QAAQ8B,GAAG+B,GAAG/B,GAAGgC,GAAGhC,KAAK,QAAQC,GAAGoC,GAAGpC,GAAGqC,GAAGrC,KAAK,CAAC,IAAIC,GAAG,EAAE,QAAQsC,GAAGD,GAAGC,GAAG1C,GAAG0C,KAAK,CAAC,IAAIrC,GAAG9B,EAAEwD,GAAGV,EAAEnB,GAAGY,EAAE4B,GAAGpB,CAAC,EAAEhB,GAAG9B,EAAEkE,GAAGnB,EAAGpB,GAAGqB,EAAGQ,GAAGP,CAAE,EAAErB,IAAIC,GAAGC,EAAE,CAACP,GAAG+B,GAAGJ,IAAIxB,GAAG7B,EAAE8B,GAAG,GAAGC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO7G,EAAE,8BAA8B0E,CAAC,EAAE1E,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,eAAeuE,EAAE6D,GAAG,MAAMA,GAAG,MAAM,CAAC,CAAC,IAAIm0D,GAAG,CAAC,WAAWp7E,GAAG,YAAY,MAAM,WAAWm7E,EAAE,EAAE,SAASE,GAAG18D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAEC,EAAEC,EAAEkB,EAAE,CAAC,EAAEpB,EAAE45D,GAAG,CAAC,OAAO,CAAC,EAAEn8D,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,WAAW2B,EAAE,WAAWC,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,IAAI2C,EAAEw0D,GAAG,CAAC,OAAO,CAAC,EAAEz0D,EAAE,EAAE,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE8D,EAAE,KAAKpB,CAAC,EAAEA,EAAEC,GAAGH,IAAII,EAAEu5D,GAAGn8D,EAAE0C,EAAEF,EAAEX,EAAEY,CAAC,EAAEqB,EAAE,KAAKpB,CAAC,EAAEA,EAAEE,GAAG,QAAQwE,KAAKtD,EAAE9D,EAAE,8BAA8BoH,CAAC,EAAE,OAAO1E,CAAC,CAAC,IAAI+5D,GAAG,CAAC,WAAW7vE,GAAG,YAAY,MAAM,WAAW4vE,EAAE,EAAME,GAAGpF,GAAGz3E,GAAGigB,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE68D,GAAG,CAAC,WAAW98E,GAAG,YAAY,MAAM,WAAW68E,EAAE,EAAME,GAAGtF,GAAGx3E,GAAGggB,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE+8D,GAAG,CAAC,WAAW/8E,GAAG,YAAY,MAAM,WAAW88E,EAAE,EAAE,SAASE,GAAGh9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE,EAAE8yD,GAAG,EAAE,MAAM,EAAE,IAAI7yD,EAAED,EAAE,IAAI2B,GAAG7B,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,MAAM,EAAE,EAAElT,GAAGuR,EAAE,CAAC,EAAE,MAAMA,EAAE,CAAC,EAAE,KAAK,EAAE,EAAE,EAAE,OAAO,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE,OAAO2B,IAAI,CAAC,IAAIC,EAAE3B,EAAE0B,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,GAAGD,EAAEC,CAAC,CAAC,CAAC,OAAO/B,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI+8D,GAAG,CAAC,WAAW38E,GAAG,YAAY,MAAM,WAAW08E,EAAE,EAAE,SAASE,GAAGl9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,CAAC,EAAED,EAAEA,GAAGE,CAAC,CAAC7B,EAAEwE,CAAC,EAAE7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIi9D,GAAG,CAAC,WAAW58E,GAAG,YAAY,MAAM,WAAW28E,EAAE,EAAE,SAASE,GAAGp9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,CAAC,EAAED,EAAEA,GAAGE,CAAC,CAAC7B,EAAEwE,CAAC,EAAE7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIm9D,GAAG,CAAC,WAAW78E,GAAG,YAAY,MAAM,WAAW48E,EAAE,EAAE,SAASE,GAAGt9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI,EAAE7B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEhU,EAAE,2BAA2B,SAAS,EAAEgU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE3U,EAAE,0BAA0BgU,EAAE,MAAM,CAAC,EAAEY,EAAEpE,EAAE,cAAckE,CAAC,EAAEG,EAAErE,EAAE,oBAAoBoE,EAAE,OAAO,EAAEE,EAAEtE,EAAE,cAAcmE,CAAC,EAAEqB,EAAE9D,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIyE,EAAE,EAAExE,EAAE,EAAEkB,EAAEsD,CAAC,EAAE7C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEsD,EAAE5C,CAAC,EAAEC,EAAE,IAAI,EAAEA,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,CAAC,EAAE4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAG/B,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAewC,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAI06D,GAAG,CAAC,WAAW98E,GAAG,YAAY,MAAM,WAAW68E,EAAE,EAAE,SAASE,GAAGx9D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI,EAAE7B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEhU,EAAE,2BAA2B,SAAS,EAAEgU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACU,EAAEC,CAAC,EAAE3U,EAAE,0BAA0BgU,EAAE,MAAM,CAAC,EAAEY,EAAEpE,EAAE,cAAckE,CAAC,EAAEG,EAAErE,EAAE,oBAAoBoE,EAAE,OAAO,EAAEE,EAAEtE,EAAE,cAAcmE,CAAC,EAAEqB,EAAE9D,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAO,QAAQ,EAAE,EAAE,EAAEa,EAAE,OAAO,EAAE,EAAE,CAAC,IAAIyE,EAAE,EAAExE,EAAE,EAAEkB,EAAEsD,CAAC,EAAE7C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE5B,EAAE,EAAE4B,EAAE,CAAC,IAAIC,EAAEX,EAAEsD,EAAE5C,CAAC,EAAEC,EAAE,IAAI,EAAEA,EAAEF,EAAEC,EAAE,CAAC7B,EAAE,CAAC,EAAE4B,CAAC,CAAC,OAAOxC,EAAE,QAAQ,GAAG/B,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,eAAewC,EAAE,QAAQG,CAAC,CAAC,CAAC,IAAI46D,GAAG,CAAC,WAAW/8E,GAAG,YAAY,MAAM,WAAW88E,EAAE,EAAME,GAAGlG,GAAG72E,GAAGqf,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE29D,GAAG,CAAC,WAAWh9E,GAAG,YAAY,MAAM,WAAW+8E,EAAE,EAAME,GAAGpG,GAAG52E,GAAGof,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE69D,GAAG,CAAC,WAAWj9E,GAAG,YAAY,MAAM,WAAWg9E,EAAE,EAAME,GAAGtG,GAAG32E,GAAGmf,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAE+9D,GAAG,CAAC,WAAWl9E,GAAG,YAAY,MAAM,WAAWi9E,EAAE,EAAME,GAAGxH,GAAG,CAACx2D,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEi+D,GAAG/G,GAAGp2E,GAAGk9E,EAAE,EAAEE,GAAG,CAAC,WAAWp9E,GAAG,YAAY,MAAM,WAAWm9E,EAAE,EAAME,GAAG3G,GAAGz2E,GAAGif,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAEo+D,GAAG,CAAC,WAAWr9E,GAAG,YAAY,MAAM,WAAWo9E,EAAE,EAAE,SAASE,GAAGr+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,aAAa0B,EAAE1B,EAAE,YAAY2B,EAAE3B,EAAE,eAAe4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,sBAAsBsC,EAAEtC,EAAE,qBAAqBuC,EAAEvC,EAAE,QAAQ,IAAIwC,EAAExC,EAAE,QAAQ,KAAKyC,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBkB,EAAEnV,GAAGwR,EAAE,SAASH,CAAC,EAAE,EAAE8D,EAAE,OAAOsD,EAAEjH,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAE,EAAEA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEoE,EAAEpE,EAAE,SAAS,CAAC,EAAE,QAAQqE,EAAE,EAAEA,EAAErE,EAAE,UAAU,EAAEqE,EAAE,CAAC,IAAIC,EAAED,EAAE4C,EAAE1C,EAAEF,EAAEtE,EAAE,CAAC,EAAE,QAAQyE,EAAE,EAAEA,EAAExE,EAAE,WAAW,EAAEwE,EAAE,QAAQE,EAAE,EAAEA,EAAE1E,EAAE,UAAU,EAAE0E,EAAE,CAAC,IAAIwC,EAAExC,EAAE,EAAEnC,EAAEoC,EAAE,KAAK,IAAI,EAAEuC,CAAC,EAAEtC,EAAE,KAAK,IAAI5E,EAAE,SAASqC,EAAE6E,CAAC,EAAErC,EAAEP,EAAEI,EAAE,EAAE,QAAQI,EAAE,EAAEA,EAAE9E,EAAE,SAAS,EAAE8E,EAAE,CAAC,IAAIC,EAAED,EAAEpD,EAAEc,EAAEwC,EAAE,KAAK,IAAI,EAAED,CAAC,EAAE4C,EAAE,KAAK,IAAI3H,EAAE,QAAQsC,EAAEyC,CAAC,EAAEqC,EAAE3E,EAAEmF,EAAE,EAAEC,EAAG,EAAE,QAAQE,GAAGpD,EAAEoD,GAAGnD,EAAEmD,IAAIpG,EAAE,CAAC,IAAIqG,GAAGzD,EAAEwD,GAAGhI,EAAE,CAAC,EAAE,QAAQkI,GAAGjD,EAAEiD,GAAGN,EAAEM,IAAIrG,EAAE,CAAC,IAAIyE,GAAG2B,GAAGC,GAAGlI,EAAE,CAAC,EAAEoI,GAAGxI,EAAE0G,GAAG7B,CAAC,EAAE,IAAI,OAAO2D,GAAGf,EAAEA,EAAEe,GAAG,IAAI,QAAQP,GAAGO,GAAGN,IAAK,CAAC,GAAG,MAAMT,CAAC,EAAE,KAAK,CAAC,IAAIU,EAAGjD,EAAEC,EAAEV,EAAEI,EAAE,EAAEsD,CAAE,EAAE,IAAI,MAAMF,EAAEC,EAAGT,CAAC,CAAC,CAAC,CAAC,OAAOzD,CAAC,CAAC,SAASs6D,GAAGt+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,GAAG,EAAE,GAAG,CAAC,IAAI,EAAExR,GAAGuR,EAAE,SAAS,OAAO,EAAE2B,EAAE3B,EAAE,aAAa4B,EAAE5B,EAAE,YAAY6B,EAAE7B,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,sBAAsBwC,EAAExC,EAAE,qBAAqByC,EAAEzC,EAAE,QAAQ,IAAI0C,EAAE1C,EAAE,QAAQ,KAAK4D,EAAEnV,GAAG,EAAEqR,EAAEF,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAEI,EAAE,UAAU,EAAE,EAAE,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,WAAW,EAAEkH,EAAE,QAAQ,EAAE,EAAE,EAAElH,EAAE,UAAU,EAAE,EAAE,CAAC,IAAIqE,EAAE,EAAE1C,EAAEc,EAAE6B,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGzC,EAAE,IAAI0C,EAAE,KAAK,IAAIvE,EAAE,SAASuC,EAAE8B,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAExE,EAAE,SAAS,EAAEwE,EAAE,CAAC,IAAIC,EAAED,EAAE5C,EAAEc,EAAEiC,EAAEF,EAAE,KAAKE,EAAE,GAAGA,GAAGrC,EAAE,IAAI6E,EAAE,KAAK,IAAInH,EAAE,QAAQwC,EAAEiC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAER,EAAEQ,EAAEP,EAAEO,GAAGjD,EAAE,CAAC,IAAIkD,EAAED,EAAET,EAAE,QAAQW,EAAEL,EAAEK,EAAEmC,EAAEnC,GAAG1C,EAAE,CAAC,IAAI2C,EAAED,EAAEP,EAAEmD,EAAEhE,EAAE,IAAI,EAAEkB,EAAEE,EAAEkC,CAAC,EAAEU,EAAEhD,IAAIA,EAAEgD,EAAE3H,EAAE4E,EAAE,IAAI,EAAE7E,EAAE,SAAS8E,GAAG9E,EAAE,QAAQgF,GAAGhF,EAAE,WAAWkH,GAAGpC,EAAE9E,EAAE,QAAQgF,GAAGhF,EAAE,WAAWkH,EAAErC,EAAEE,EAAEvC,EAAEyC,EAAE,CAAC,CAAC,EAAE,IAAIJ,EAAE,EAAE,EAAEL,EAAE0C,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASi3D,GAAGv+D,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAEA,EAAE,YAAY0B,EAAE1B,EAAE,aAAa2B,EAAE3B,EAAE,YAAY4B,EAAE5B,EAAE,cAAcqC,EAAErC,EAAE,eAAesC,EAAEtC,EAAE,cAAcuC,EAAEvC,EAAE,qBAAqBwC,EAAExC,EAAE,sBAAsByC,EAAEzC,EAAE,qBAAqB2D,EAAE3D,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIiH,EAAEjH,EAAE,QAAQ,KAAK,EAAE,IAAI,MAAM,OAAO,kBAAkB,OAAO,kBAAkBoE,EAAE5V,GAAGwR,EAAE,SAASH,CAAC,EAAEwE,EAAED,EAAE,OAAOE,EAAEtE,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEuE,EAAEvE,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAEwE,EAAExE,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,EAAE0E,EAAE1E,EAAE,SAAS,CAAC,EAAE,QAAQkH,EAAE,EAAEA,EAAElH,EAAE,UAAU,EAAEkH,EAAE,CAAC,IAAIvC,EAAEuC,EAAE5C,EAAEM,EAAEsC,EAAEnH,EAAE,CAAC,EAAE,QAAQ8E,EAAE,EAAEA,EAAE7E,EAAE,WAAW,EAAE6E,EAAE,QAAQC,EAAE,EAAEA,EAAE9E,EAAE,SAAS,EAAE8E,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAEnB,EAAEqB,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGpD,EAAE,IAAI+F,EAAE,KAAK,IAAI3H,EAAE,QAAQuC,EAAEwC,CAAC,EAAEqC,EAAEzC,EAAEG,EAAEP,EAAE,QAAQqD,EAAE,EAAEA,EAAE5H,EAAE,UAAU,EAAE4H,EAAE,CAAC,IAAIC,EAAGD,EAAElG,EAAE,EAAEoG,EAAGD,EAAG,KAAKC,EAAG,GAAGA,GAAIzF,EAAE,IAAI0F,GAAG,KAAK,IAAI/H,EAAE,SAASwC,EAAEqF,CAAE,EAAEG,GAAGZ,EAAEQ,EAAEpD,EAAE,QAAQyD,GAAG,EAAEA,GAAGjI,EAAE,SAAS,EAAEiI,GAAG,CAAC,IAAI5B,GAAG4B,GAAGtG,EAAEsF,EAAEkB,GAAG9B,GAAG,KAAK8B,GAAG,GAAGA,IAAI7F,EAAE,IAAI8F,GAAG,KAAK,IAAIpI,EAAE,QAAQyC,EAAE4D,EAAE,EAAEgC,GAAGL,GAAGC,GAAGvD,EAAE4D,GAAG,EAAEC,GAAG,EAAEC,GAAG,EAAE,QAAQM,GAAG9D,EAAE8D,GAAGnB,EAAEmB,IAAIlH,EAAE,CAAC,IAAImH,GAAGnE,EAAEkE,GAAG/I,EAAE,CAAC,EAAE,QAAQuG,GAAGwB,EAAGxB,GAAGyB,GAAGzB,IAAIjE,EAAE,CAAC,IAAImE,GAAGuC,GAAGzC,GAAGvG,EAAE,CAAC,EAAE,QAAQ0G,GAAG0B,GAAG1B,GAAG2B,GAAG3B,IAAInE,EAAE,CAAC,IAAIoE,GAAGF,GAAGC,GAAG1G,EAAE,CAAC,EAAEiJ,GAAGrJ,EAAE+G,GAAG7B,CAAC,EAAE,GAAG,IAAI,OAAOmE,GAAGV,GAAGA,GAAGU,GAAG,IAAI,QAAQT,IAAIS,GAAGR,MAAM,MAAMF,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,GAAG,MAAMA,EAAE,EAAE,KAAK,CAAC,IAAIO,GAAGR,GAAGxD,EAAER,EAAEwE,EAAE,EAAE,IAAI,MAAMN,GAAG,KAAK,IAAIC,GAAG,CAAC,EAAEF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOlE,CAAC,CAAC,SAAS+5D,GAAGx+D,EAAE,EAAE,CAAC,IAAIE,EAAErR,GAAG,EAAE,SAAS,OAAO,EAAEuR,EAAE,EAAE,YAAYC,EAAE,EAAE,aAAa,EAAE,EAAE,YAAY,EAAE,EAAE,cAAc0B,EAAE,EAAE,eAAeC,EAAE,EAAE,cAAcC,EAAE,EAAE,qBAAqBS,EAAE,EAAE,sBAAsBC,EAAE,EAAE,qBAAqBC,EAAE,EAAE,QAAQ,MAAMC,EAAE,EAAE,QAAQ,IAAIC,EAAE,EAAE,QAAQ,KAAK,QAAQkB,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAE,EAAE,WAAW,EAAE,EAAE,QAAQsD,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAI,EAAEA,EAAElH,EAAEwC,EAAE6B,EAAE,EAAE,KAAKA,EAAE,GAAGA,GAAG,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAE,QAAQzC,EAAE,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,UAAU,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEtE,EAAEwC,EAAEgC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAG9C,EAAE,IAAIgD,EAAE,KAAK,IAAI,EAAE,SAASrC,EAAEkC,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAE,EAAE,SAAS,EAAEA,EAAE,CAAC,IAAIvC,EAAEuC,EAAE,EAAEzE,EAAEmC,EAAED,EAAE,KAAKC,EAAE,GAAGA,GAAGjD,EAAE,IAAIkD,EAAE,KAAK,IAAI,EAAE,QAAQvC,EAAEqC,CAAC,EAAEG,EAAE,OAAO,kBAAkBC,EAAE,GAAG,QAAQC,EAAEZ,EAAEY,EAAEX,EAAEW,GAAG,EAAE,CAAC,IAAI2C,EAAE3C,EAAE,EAAE,QAAQoC,EAAE5C,EAAE4C,EAAE1C,EAAE0C,GAAG1F,EAAE,CAAC,IAAIkG,EAAER,EAAE7C,EAAE,QAAQsD,EAAGjD,EAAEiD,EAAGhD,EAAEgD,GAAIlG,EAAE,CAAC,IAAImG,EAAGD,EAAGlD,EAAEoD,GAAGpI,EAAE,IAAIgE,EAAEqB,EAAEoC,EAAES,EAAG,CAAC,EAAEE,IAAIjD,IAAIA,EAAEiD,GAAGhD,EAAE4C,EAAEtF,EAAEC,EAAEsF,EAAEvF,EAAEyF,EAAG,CAAC,CAAC,CAACjI,EAAE,IAAIkF,EAAEpB,EAAEsD,EAAE3C,EAAE4C,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOrH,CAAC,CAAC,SAASu+D,GAAGz+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE6yD,GAAG7yD,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEi0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEu7D,GAAGz7D,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAEzC,EAAE,eAAewC,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI+7D,GAAG,CAAC,WAAW19E,GAAG,YAAY,MAAM,WAAWy9E,EAAE,EAAE,SAASE,GAAG3+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAE27D,GAAG57D,EAAEtC,EAAE,MAAMA,EAAE,MAAM7B,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAOxC,EAAE,eAAe0C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIg8D,GAAG,CAAC,WAAW39E,GAAG,YAAY,MAAM,WAAW09E,EAAE,EAAE,SAASE,GAAG7+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM,EAAE+T,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,aAAa,EAAEA,EAAE,YAAY4E,EAAE5E,EAAE,cAAc,EAAEA,EAAE,eAAe+B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,sBAAsBkC,EAAElC,EAAE,qBAAqBmC,EAAEH,EAAE,EAAEhC,EAAE,QAAQ,MAAMqC,EAAEH,EAAE,EAAElC,EAAE,QAAQ,KAAK6E,EAAE5C,EAAE,EAAEjC,EAAE,QAAQ,IAAIsC,EAAEnW,GAAG,EAAE,MAAM,SAAS,EAAEoW,EAAE,GAAGnC,EAAEkB,EAAE,GAAGkB,EAAEhF,EAAE,WAAWG,CAAC,EAAE,QAAQ8E,EAAE,EAAEA,EAAEzC,EAAE,UAAU,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,WAAW,EAAE0C,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,QAAQ,EAAE2C,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAE,SAAS,EAAEsF,EAAE,QAAQP,EAAE,EAAEA,EAAE/E,EAAE,QAAQ,EAAE+E,EAAE,CAAC,IAAIQ,EAAE5C,EAAER,EAAEqD,EAAGF,EAAET,EAAEY,EAAGV,EAAE1C,EAAEqD,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIf,EAAE,CAAC,IAAIgB,IAAIL,EAAEI,IAAI1F,EAAE,GAAG,EAAE2F,GAAG,GAAGA,IAAI5F,EAAE,UAAU,KAAK,MAAM4F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG/B,EAAE+B,IAAI,EAAE,CAAC,IAAI8B,IAAIN,EAAGxB,IAAI9D,EAAE,GAAG,EAAE4F,GAAG,GAAGA,IAAI9F,EAAE,WAAW,KAAK,MAAM8F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG7D,EAAE6D,IAAIhE,EAAE,CAAC,IAAIiE,IAAIP,EAAGM,IAAI5F,EAAE,GAAG6F,GAAG,GAAGA,IAAIhG,EAAE,UAAU,KAAK,MAAMgG,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAGzD,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEgD,IAAIO,EAAE,CAAC,CAAC,CAAC3D,EAAE,IAAIoD,GAAGnD,EAAEE,EAAEE,EAAE2C,EAAEP,EAAErC,CAAC,CAAC,CAAC,OAAOlF,EAAE,eAAe8E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI85D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAE,SAASE,GAAG/+D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE6yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,aAAaI,EAAEJ,EAAE,YAAYsB,EAAEtB,EAAE,eAAe,EAAEA,EAAE,cAAc4E,EAAE5E,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB+B,EAAE,EAAE,EAAE/B,EAAE,QAAQ,KAAKgC,EAAE4C,EAAE,EAAE5E,EAAE,QAAQ,IAAIiC,EAAE9V,GAAG,EAAE,MAAM,SAAS,EAAE+V,EAAE,GAAG/B,EAAEC,GAAG+B,EAAE3E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0E,EAAElW,GAAGwR,EAAE,MAAM,UAAUwE,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE7E,EAAE,UAAU,EAAE6E,EAAE,QAAQvC,EAAE,EAAEA,EAAEtC,EAAE,WAAW,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,SAAS,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,QAAQ,EAAEwC,EAAE,CAAC,IAAIC,EAAEF,EAAEP,EAAEU,EAAEF,EAAET,EAAEY,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAEU,GAAGhE,EAAE,CAAC,IAAIyD,GAAGtC,EAAE6C,GAAGrF,EAAE,GAAG,EAAE8E,EAAE,GAAGA,GAAG/E,EAAE,WAAW,KAAK,MAAM+E,CAAC,IAAIA,GAAG,QAAQQ,EAAE,EAAEA,EAAE,EAAEA,GAAG,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAGrF,EAAE,GAAGsF,EAAG,GAAGA,GAAIxF,EAAE,UAAU,KAAK,MAAMwF,CAAE,IAAIA,EAAG,SAAS,IAAIC,EAAGpD,EAAE,IAAIwC,EAAEE,EAAES,EAAGlD,CAAC,EAAEK,GAAG8C,CAAE,CAAC,CAACxD,EAAE,IAAIU,EAAET,EAAE2C,EAAEtC,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO9E,EAAE,eAAeyE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIq6D,GAAG,CAAC,WAAW79E,GAAG,YAAY,MAAM,WAAW49E,EAAE,EAAE,SAASE,GAAGj/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,MAAM,EAAE,OAAO,EAAE,KAAK0B,EAAE,SAASC,CAAC,EAAE,EAAExD,EAAE,OAAOuD,EAAE,MAAM,SAASC,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAExD,EAAE,OAAO,GAAG,MAAMuD,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAEvD,EAAE,OAAO,GAAG,MAAMuD,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAEmxD,GAAG,CAAC7yD,EAAE0B,EAAEC,EAAE,EAAE,CAAC,EAAE,WAAW,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE7B,EAAE6B,GAAG,OAAOA,EAAE,MAAM,IAAIS,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOa,EAAE1C,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAOa,EAAE,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE4C,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,IAAI,aAAa,CAAC,CAAC,CAAC,EAAE8D,EAAE,IAAI,aAAatB,EAAE,MAAM,EAAE,EAAEI,EAAE,OAAOwE,EAAEzE,EAAE,OAAO,EAAED,EAAE,OAAO6B,EAAE9B,EAAE,OAAO+B,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAEC,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAErC,EAAE,OAAO,EAAEqC,EAAEf,EAAEe,CAAC,EAAEjC,EAAE4B,GAAG,GAAGhC,EAAEqC,CAAC,EAAEpC,EAAEgC,GAAG,GAAG9B,EAAE+B,GAAG,EAAE,KAAK,KAAKhC,EAAEiC,GAAG,EAAE5C,CAAC,EAAEyC,GAAG,IAAIA,EAAE,GAAGC,GAAGF,IAAIE,EAAE,GAAGC,GAAG0C,IAAI1C,EAAE,GAAGC,GAAG,IAAIA,EAAE,GAAG,OAAO3E,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIk7D,GAAG,CAAC,WAAWz6E,GAAG,YAAY,MAAM,WAAWw6E,EAAE,EAAE,SAASE,GAAGn/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAEy5D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAE22D,GAAG,CAAC,OAAO,CAAC,EAAE52D,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE+B,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAEm4D,GAAG,CAAC,OAAO,CAAC,EAAE72D,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIo7D,GAAG,CAAC,WAAW99E,GAAG,YAAY,MAAM,WAAW69E,EAAE,EAAE,SAASE,GAAGr/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAEsxD,GAAGxxD,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM+B,CAAC,CAAC,CAAC,IAAIq9D,GAAG,CAAC,WAAW/9E,GAAG,YAAY,MAAM,WAAW89E,EAAE,EAAE,SAASE,GAAGv/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE/T,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOkS,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIy9D,GAAG,CAAC,WAAWh+E,GAAG,YAAY,MAAM,WAAW+9E,EAAE,EAAME,GAAGjI,GAAG11E,GAAG,CAACke,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAOF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,EAAEE,EAAE,aAAaA,EAAE,aAAaF,CAAC,CAAC,EAAE0/D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAME,GAAG3/D,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE,OAAOE,EAAEF,EAAE,QAAQI,EAAE,IAAI,aAAa5B,EAAE,cAAc,EAAE,KAAK,CAAC,EAAE6B,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,EAAEG,EAAE,mBAAmB,KAAK,EAAEA,EAAE,mBAAmB,KAAK0B,EAAE7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ+B,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAI,CAAC,IAAIS,EAAEX,EAAEE,CAAC,EAAEU,EAAEX,EAAEC,CAAC,EAAE7B,EAAE6B,CAAC,EAAE,KAAK,MAAMS,EAAEC,CAAC,CAAC,CAAC,OAAOzC,EAAE,WAAWE,EAAE,EAAE,MAAM,SAAS,CAAC,EAAEw/D,GAAG,CAAC,WAAW59E,GAAG,YAAY,MAAM,WAAW29E,EAAE,EAAE,SAASE,GAAG7/D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,mBAAmB,KAAK,EAAEF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,OAAOH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIy/D,GAAG,CAAC,WAAWz6E,GAAG,YAAY,MAAM,WAAWw6E,EAAE,EAAE,SAASE,GAAG//D,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe6B,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI2D,GAAGA,EAAE,KAAK,EAAEhW,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAI+T,EAAE/T,EAAE,gBAAgB,EAAE,IAAIgW,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGxF,EAAE,cAAcuD,CAAC,IAAI,EAAE,OAAO7B,EAAE,eAAe6B,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOgC,GAAGxF,EAAE,cAAcwF,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGhC,EAAE,SAAS,EAAE,OAAO40D,GAAG,CAAC,OAAO,CAAC,EAAE50D,EAAE,CAAC,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE,GAAG8B,EAAE,CAAC,EAAE,QAAQ,YAAY,CAAC,IAAIgC,EAAEhC,EAAE,IAAI0C,GAAGoyD,GAAG,CAAC,OAAO,CAAC,MAAMpyD,CAAC,EAAE,QAAQxE,CAAC,CAAC,CAAC,EAAE,EAAE8B,EAAE,IAAI0C,GAAGm7D,GAAG,CAAC,OAAO,CAAC,MAAMn7D,CAAC,EAAE,QAAQxE,CAAC,CAAC,CAAC,EAAEoH,EAAEy4D,GAAG,CAAC,OAAO/7D,EAAE,QAAQ9D,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE6/D,GAAG,CAAC,OAAO,EAAE,QAAQ7/D,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAEuE,EAAEgyD,GAAG,CAAC,OAAO,CAAC,KAAKnvD,EAAE,KAAK,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE,OAAO8D,EAAE,QAAQU,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAE,EAAE,QAAQA,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAExE,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B,CAAC,EAAEuE,CAAC,CAAC,IAAIxC,EAAED,EAAE,IAAIgC,GAAG,CAAC,IAAIsD,EAAE,CAAC,GAAG9I,EAAE,cAAcwF,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOs4D,GAAG,CAAC,OAAO,CAAC,EAAEt4D,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE5E,EAAET,EAAE,IAAI+B,IAAI,CAAC,KAAK9D,EAAE,KAAK,IAAI8D,EAAE,MAAM,EAAE,OAAO,MAAMA,EAAE,KAAK,EAAE,EAAEjC,EAAE/T,EAAE,gBAAgBiU,EAAE,IAAI+B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIrB,EAAEV,EAAE,CAAC,EAAE,MAAM,CAAC,IAAI,EAAEW,EAAE+wD,GAAGjxD,EAAEX,EAAE,EAAE,CAAC,EAAE,MAAMY,CAAC,EAAEE,EAAE7U,EAAE,gBAAgBgU,EAAE,IAAIgC,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAElB,EAAE5C,EAAE,eAAe2C,EAAE,EAAE,CAAC,EAAE,MAAMD,CAAC,EAAE,OAAOX,EAAE,QAAQ+B,GAAG9D,EAAE,8BAA8B8D,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIk9D,GAAG,CAAC,WAAW/9E,GAAG,YAAY,MAAM,WAAW89E,EAAE,EAAE,SAASE,GAAGjgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAIsC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYoB,EAAEpB,EAAE,eAAe,EAAEA,EAAE,cAAc0E,EAAE1E,EAAE,QAAQ,KAAK,EAAEA,EAAE,QAAQ,IAAI6B,EAAE7B,EAAE,aAAa,eAAe8B,EAAE,IAAIvY,GAAGyW,EAAE,SAASvC,EAAE,KAAK,EAAEsE,EAAEnG,EAAE,eAAe6B,EAAE,KAAK,EAAEuE,EAAEpG,EAAE,eAAe,EAAE,KAAK,EAAEqG,EAAEF,EAAE,CAAC,EAAEI,EAAEN,EAAEE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE4C,EAAE9C,EAAEE,EAAE,CAAC,EAAE,EAAEK,EAAEP,EAAE,EAAEE,EAAE,CAAC,EAAEM,EAAEP,EAAE,QAAQ,CAAC,EAAEQ,EAAET,EAAEC,EAAE,QAAQ,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAES,EAAEV,EAAEC,EAAE,QAAQ,CAAC,EAAE,EAAEU,EAAEX,EAAE,EAAEC,EAAE,QAAQ,CAAC,EAAEW,EAAEnF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2H,EAAE9H,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuH,EAAE/C,EAAE,OAAO,QAAQuD,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,CAAC,IAAIC,EAAGD,EAAEpD,EAAEsD,EAAGF,EAAEhD,EAAE,QAAQmD,GAAG,EAAEA,GAAGxF,EAAE,UAAU,EAAEwF,GAAG,CAAC,IAAIC,GAAGF,EAAGC,GAAGlD,EAAEoD,GAAGF,GAAGxF,EAAE,aAAa,EAAE,QAAQ8D,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAI8B,GAAGF,GAAG5B,GAAG1C,EAAE,GAAGwE,GAAG,GAAGA,IAAI5F,EAAE,SAAS,SAAS,IAAI6F,GAAG/B,GAAG9B,EAAE,CAAC,EAAE8D,GAAGR,EAAGM,GAAGzD,EAAE,QAAQ4D,GAAG,EAAEA,GAAG/F,EAAE,SAAS,EAAE+F,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGxD,EAAE0D,GAAGF,GAAG/F,EAAE,YAAY0E,EAAE,QAAQ4B,GAAG,EAAEA,GAAGpG,EAAE,EAAEoG,GAAG,CAAC,IAAIC,GAAGN,GAAGK,GAAG,EAAE,GAAGC,GAAG,GAAGA,IAAIvG,EAAE,QAAQ,SAAS,IAAIwG,GAAGX,GAAGS,GAAGtE,EAAE,CAAC,EAAE+B,GAAG+B,GAAGS,GAAG5B,EAAEV,GAAGuC,GAAG,QAAQtC,GAAG,EAAEA,GAAGlE,EAAE,WAAW,EAAEkE,GAAG,CAAC,IAAIC,GAAG1B,EAAEsB,GAAGG,GAAG9B,CAAC,EAAE,QAAQqE,GAAG,EAAEA,GAAGzG,EAAE,YAAY,EAAEyG,GAAG5B,EAAEmB,GAAGS,GAAGjE,CAAC,GAAG2B,GAAGiB,EAAEnB,GAAGwC,EAAE,EAAExC,IAAIjE,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,eAAewE,EAAE,MAAMA,EAAE,MAAM+C,CAAC,CAAC,CAAC,IAAIy4D,GAAG,CAAC,WAAWh+E,GAAG,YAAY,MAAM,WAAW+9E,EAAE,EAAE,SAASE,GAAGngE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,sBAAsB,EAAE,IAAIsC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAE,CAAC,aAAaE,EAAE,YAAYC,EAAE,aAAakB,EAAE,YAAY,CAAC,EAAEpB,EAAE0E,EAAE1E,EAAE,aAAa,eAAe,EAAE,IAAIzW,GAAGyW,EAAE,YAAY,SAAS,EAAE6B,EAAE7B,EAAE,QAAQ,KAAK8B,EAAE9B,EAAE,QAAQ,IAAI+B,EAAEzE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAE,IAAI1Y,GAAGkU,EAAE,MAAMA,EAAE,MAAMsE,CAAC,EAAEI,EAAE,IAAI5Y,GAAG,EAAE,MAAM,EAAE,MAAMyY,CAAC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEvD,EAAE,EAAEuD,EAAE,CAAC,IAAIvC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAE6C,GAAG1E,CAAC,CAAC,EAAEoC,EAAE,KAAK,IAAIrC,EAAE,WAAWA,EAAE,SAAS8B,EAAE6C,GAAG1E,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMV,EAAES,GAAGpC,CAAC,CAAC,EAAEsC,EAAE,KAAK,IAAIxC,EAAE,UAAUA,EAAE,QAAQ6B,EAAES,GAAGpC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAEzC,EAAE,WAAW,EAAEyC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEpF,EAAE,YAAY,EAAEoF,EAAE,CAAC,IAAIP,EAAE,EAAE,QAAQQ,EAAE,EAAEA,EAAErF,EAAE,UAAU,EAAEqF,EAAE,QAAQC,EAAGlD,EAAEkD,EAAGjD,EAAE,EAAEiD,EAAG,CAAC,IAAIC,EAAGZ,EAAEW,EAAGrF,EAAE6B,EAAE,QAAQ0D,GAAGjD,EAAEiD,GAAGhD,EAAE,EAAEgD,GAAG,CAAC,IAAIC,GAAGnD,EAAEkD,GAAGtF,EAAE2B,EAAE6C,EAAEG,GAAG5C,EAAE,IAAIoD,EAAEE,EAAGE,GAAGhD,CAAC,EAAEN,EAAE,IAAIkD,EAAEC,EAAGE,GAAGJ,CAAC,EAAEP,GAAG5C,EAAE,IAAIoD,EAAE5C,EAAE8C,EAAGE,EAAE,EAAEtD,EAAE,IAAIkD,EAAED,EAAEE,EAAGE,EAAE,CAAC,CAAC,CAAC,EAAE,IAAIX,EAAEF,EAAErC,EAAEG,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO9H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIkgE,GAAG,CAAC,WAAWj+E,GAAG,YAAY,MAAM,WAAWg+E,EAAE,EAAE,SAASE,GAAGrgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,qBAAqB,EAAE,IAAIsC,EAAEnE,EAAE,eAAe,EAAE,KAAK,EAAEoE,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,EAAEwC,EAAE7U,EAAE,wBAAwBiU,CAAC,EAAEa,EAAE9U,EAAE,kBAAkB,EAAE,EAAE,MAAM+T,EAAE,EAAEC,EAAEU,EAAE,GAAGG,CAAC,EAAEmB,EAAE,IAAI7X,GAAG2W,EAAE,QAAQ,SAAS,EAAE,EAAEkB,EAAE,OAAOsD,EAAEpH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACuE,EAAEC,EAAEC,CAAC,EAAEhC,EAAE,CAAC,UAAUiC,EAAE,aAAaC,EAAE,YAAYE,EAAE,WAAWwC,EAAE,SAASvC,EAAE,QAAQC,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAY2C,CAAC,EAAElF,EAAED,EAAEC,EAAE,WAAW,IAAI2E,EAAE5C,EAAE,EAAE/B,EAAE,QAAQ,IAAImF,EAAElD,EAAE,EAAEjC,EAAE,QAAQ,KAAKoF,EAAGrF,IAAI,eAAesF,EAAGnE,EAAE,QAAQ,CAAC,EAAEoE,GAAGF,EAAGlE,EAAE,QAAQ,CAAC,EAAEA,EAAE,QAAQ,CAAC,EAAEqE,GAAGH,EAAGlE,EAAE,QAAQ,CAAC,EAAE,EAAEsE,GAAGJ,EAAG,EAAElE,EAAE,QAAQ,CAAC,EAAE0C,GAAG9D,EAAE,CAAC,EAAE4F,GAAGN,EAAGtF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE6F,GAAGP,EAAGtF,EAAE,CAAC,EAAE,EAAE8F,GAAGR,EAAG,EAAEtF,EAAE,CAAC,EAAE,QAAQ+F,GAAG,EAAEA,GAAG/D,EAAE,EAAE+D,GAAG,QAAQC,GAAG,EAAEA,GAAGrB,EAAE,EAAEqB,GAAG,QAAQC,GAAG,EAAEA,GAAG7D,EAAE,EAAE6D,GAAG,CAAC,IAAIK,GAAGL,GAAGpB,EAAE0B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAG7D,CAAC,CAAC,EAAE+D,GAAG,KAAK,IAAIjE,GAAGN,EAAEqE,IAAI7D,CAAC,EAAE,QAAQsB,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIE,GAAGF,GAAGsB,EAAEnB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGmB,CAAC,CAAC,EAAEjB,GAAG,KAAK,IAAI3B,GAAGL,EAAE8B,IAAImB,CAAC,EAAEqB,GAAG,EAAE,QAAQpC,GAAGkC,GAAGlC,GAAGmC,GAAG,EAAEnC,GAAG,CAAC,IAAIC,GAAGD,GAAG5B,EAAE6D,GAAG,QAAQ/B,GAAGL,GAAGK,GAAGJ,GAAG,EAAEI,GAAG,CAAC,IAAIP,GAAGO,GAAGa,EAAEnB,GAAGyC,GAAG5C,GAAGiC,GAAGH,GAAGvB,GAAGwB,GAAGtB,GAAGoC,GAAG9E,GAAGI,EAAE,EAAEqC,IAAIxC,GAAGK,EAAE,EAAE6B,IAAIjC,EAAEiE,GAAG,QAAQY,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAIC,GAAGnC,EAAEgC,GAAGZ,GAAGc,EAAE,EAAEE,GAAG,EAAEH,GAAGC,EAAE,EAAEH,IAAII,GAAGC,EAAE,CAAC,CAAC,CAAC,IAAI1C,GAAGmB,EAAGQ,GAAGP,GAAGS,GAAGR,GAAG1B,GAAG2B,GAAGM,GAAG,EAAE5B,EAAE,EAAEqC,EAAE,CAAC,CAAC,OAAOnJ,EAAE,eAAe8D,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIs8D,GAAG,CAAC,WAAWl+E,GAAG,YAAY,MAAM,WAAWi+E,EAAE,EAAE,SAASE,GAAGvgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI4B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAE,CAAC,YAAYW,EAAE,aAAaC,EAAE,YAAYC,EAAE,cAAcC,EAAE,eAAeC,EAAE,cAAckB,EAAE,QAAQ,CAAC,EAAE/B,EAAEqF,EAAE,EAAE,MAAM,EAAE,EAAE,KAAK7C,EAAE,EAAE,IAAIC,EAAE,IAAIvY,GAAG8V,EAAE,SAAS5B,EAAE,KAAK,EAAEsE,EAAEzE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAEH,EAAE,OAAOK,EAAEvG,EAAE,eAAe6B,EAAE,KAAK,EAAEkH,EAAE/I,EAAE,eAAe,EAAE,KAAK,EAAE,QAAQwG,EAAE,EAAEA,EAAE/C,EAAE,UAAU,EAAE+C,EAAE,CAAC,IAAIC,EAAED,EAAED,EAAE,CAAC,EAAEG,EAAEF,EAAEN,EAAE,QAAQ,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAElD,EAAE,SAAS,EAAEkD,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAET,EAAE,QAAQ,CAAC,EAAEW,EAAEF,EAAElD,EAAE,YAAYqF,EAAE,QAAQU,EAAE,EAAEA,EAAEtF,EAAE,EAAEsF,EAAE,CAAC,IAAIP,EAAEpC,EAAE2C,EAAEnF,EAAE,GAAG4E,EAAE,GAAGA,GAAGxF,EAAE,QAAQ,SAAS,IAAIgG,EAAED,EAAET,EAAE,CAAC,EAAEW,EAAGjD,EAAEwC,EAAE1C,EAAE,CAAC,EAAE,QAAQoD,EAAG,EAAEA,EAAGlG,EAAE,UAAU,EAAEkG,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGzD,EAAE,QAAQ,CAAC,EAAE2D,GAAGF,EAAGlG,EAAE,aAAawC,EAAE,QAAQ6D,GAAG,EAAEA,GAAG3F,EAAE,EAAE2F,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGxF,EAAE,GAAG4D,GAAG,GAAGA,IAAIzE,EAAE,SAAS,SAAS,IAAIuG,GAAGP,EAAEK,GAAGf,EAAE,CAAC,EAAEkB,GAAGP,EAAGxB,GAAG3B,EAAE,CAAC,EAAE,QAAQ2D,GAAG,EAAEA,GAAGzG,EAAE,SAAS,EAAEyG,GAAG,CAAC,IAAIC,GAAGP,GAAGM,GAAGzG,EAAE,YAAY2G,GAAGF,GAAGzG,EAAE,YAAY,EAAE,QAAQ4G,GAAG,EAAEA,GAAGjG,EAAE,EAAEiG,GAAG,CAAC,IAAIK,GAAGN,GAAGC,GAAG7E,EAAE,GAAGkF,GAAG,GAAGA,IAAIjH,EAAE,QAAQ,SAAS,IAAIkH,GAAGX,GAAGK,GAAGtB,EAAE,CAAC,EAAE6B,GAAGX,GAAGS,GAAGjH,EAAE,WAAW0E,GAAGwC,GAAG,QAAQtC,GAAG,EAAEA,GAAG5E,EAAE,WAAW,EAAE4E,GAAG,CAAC,IAAIC,GAAGnC,EAAEyE,GAAGvC,EAAE,EAAE,QAAQE,GAAG,EAAEA,GAAG9E,EAAE,YAAY,EAAE8E,GAAGlC,EAAE8D,GAAG5B,EAAE,GAAGD,GAAGlC,EAAE+B,GAAGI,EAAE,EAAEJ,IAAI1E,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/B,EAAE,eAAewE,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI87D,GAAG,CAAC,WAAWn+E,GAAG,YAAY,MAAM,WAAWk+E,EAAE,EAAE,SAASE,GAAGzgE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,wBAAwB,EAAE,IAAI4B,EAAEzD,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEa,EAAED,EAAE,YAAYE,EAAEF,EAAE,aAAaG,EAAEH,EAAE,YAAYqB,EAAErB,EAAE,YAAY,EAAEA,EAAE,aAAa2E,EAAE3E,EAAE,YAAY,EAAE,IAAIxW,GAAGwW,EAAE,YAAY,SAAS,EAAE8B,EAAE,EAAE,OAAO,CAACC,EAAEC,EAAEC,EAAEC,CAAC,EAAE,EAAE,QAAQE,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAACqH,EAAEvC,EAAEC,EAAEC,CAAC,EAAExC,EAAEyC,EAAEjF,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC+E,EAAEC,EAAE2C,EAAEP,CAAC,EAAExF,EAAEgG,EAAEtF,EAAE,QAAQ,MAAMuF,EAAGvF,EAAE,QAAQ,KAAKwF,EAAGxF,EAAE,QAAQ,IAAI,QAAQyF,GAAG,EAAEA,GAAGpE,EAAE,EAAEoE,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMJ,EAAEG,IAAIxF,CAAC,CAAC,EAAE0F,GAAG,KAAK,IAAI3F,EAAE,UAAUA,EAAE,QAAQsF,EAAEG,IAAIxF,CAAC,EAAE8D,GAAG0B,GAAG1D,EAAE,QAAQ8D,GAAG,EAAEA,GAAG,EAAE,EAAEA,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMN,EAAGK,IAAI3F,CAAC,CAAC,EAAE6F,GAAG,KAAK,IAAI/F,EAAE,WAAWA,EAAE,SAASwF,EAAGK,IAAI3F,CAAC,EAAE8F,GAAGH,GAAG7D,EAAE+B,GAAG,QAAQkC,GAAG,EAAEA,GAAGtB,EAAE,EAAEsB,GAAG,CAAC,IAAIC,GAAG,KAAK,IAAI,EAAE,KAAK,MAAMX,EAAGU,IAAI9F,CAAC,CAAC,EAAEoG,GAAG,KAAK,IAAIvG,EAAE,UAAUA,EAAE,QAAQuF,EAAGU,IAAI9F,CAAC,EAAEqG,GAAGP,GAAGhE,EAAE+D,GAAG,QAAQS,GAAG,EAAEA,GAAGzG,EAAE,WAAW,EAAEyG,GAAG,CAAC,IAAIzC,GAAGyC,GAAGvE,EAAEsE,GAAG,QAAQtC,GAAG,EAAEA,GAAGlE,EAAE,YAAY,EAAEkE,GAAG,CAAC,IAAIC,GAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGpE,EAAE,UAAU,EAAEoE,GAAG,CAAC,IAAIsC,GAAGtC,GAAG3B,EAAE4B,GAAGD,GAAGQ,EAAE,QAAQN,GAAGoB,GAAGpB,GAAGqB,GAAG,EAAErB,GAAG,CAAC,IAAIE,IAAIiB,GAAGnB,GAAGrE,EAAEqF,GAAG5C,EAAEgE,GAAGzC,GAAGK,GAAGjC,EAAEgC,GAAG,QAAQsC,GAAGb,GAAGa,GAAGZ,GAAG,EAAEY,GAAG,CAAC,IAAIE,IAAIhB,GAAGc,GAAGzG,EAAEsF,GAAIH,EAAEb,GAAGsC,GAAGH,GAAGrE,EAAE2B,GAAG,QAAQ8C,GAAGb,GAAGa,GAAGR,GAAG,EAAEQ,GAAG,CAAC,IAAI3B,IAAIa,GAAGc,GAAG5G,EAAEoF,GAAIT,EAAE+B,GAAGI,GAAGF,GAAGxE,EAAEuE,GAAG3C,IAAI3B,EAAE4C,GAAGqB,EAAE,EAAErE,EAAE6E,GAAG/C,EAAE,CAAC,CAAC,CAAC,CAAC,CAACpC,EAAEkC,GAAGE,EAAE,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO5G,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIwgE,GAAG,CAAC,WAAWp+E,GAAG,YAAY,MAAM,WAAWm+E,EAAE,EAAE,SAASE,GAAG3gE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,uBAAuB,EAAE,IAAI4B,EAAEzD,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAE3U,EAAE,kBAAkBgU,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEa,EAAE,IAAIzW,GAAGwW,EAAE,QAAQ,SAAS,EAAEE,EAAED,EAAE,OAAO,CAACE,EAAEkB,EAAE,EAAEsD,CAAC,EAAE1E,EAAE,QAAQ,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAACoE,EAAEC,EAAEC,EAAEC,CAAC,EAAE3C,EAAE4C,EAAE3E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC6E,EAAEwC,EAAEvC,EAAEC,CAAC,EAAEvC,EAAE,CAAC,UAAUwC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAW2C,EAAE,QAAQP,EAAE,SAASQ,EAAE,QAAQC,EAAG,YAAYC,EAAG,SAASC,GAAG,UAAUC,GAAG,SAASC,GAAG,YAAY5B,GAAG,aAAa8B,GAAG,YAAYC,EAAE,EAAE9F,EAAE+F,GAAGvD,EAAE,EAAExC,EAAE,QAAQ,MAAMgG,GAAGvD,EAAE,EAAEzC,EAAE,QAAQ,IAAIiG,GAAGvD,EAAE,EAAE1C,EAAE,QAAQ,KAAK,QAAQkG,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,QAAQK,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,QAAQC,GAAG,EAAEA,GAAG1B,EAAE,EAAE0B,GAAG,CAAC,IAAIC,GAAGD,GAAGT,GAAG/B,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKyC,GAAG1C,EAAE,CAAC,EAAEG,GAAG,KAAK,IAAIuB,IAAIjD,EAAEiE,IAAI1C,EAAE,EAAE,QAAQI,GAAG,EAAEA,GAAGmB,EAAE,EAAEnB,GAAG,CAAC,IAAIC,GAAGD,GAAG6B,GAAGU,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKtC,GAAGyB,EAAE,CAAC,EAAExB,GAAG,KAAK,IAAIqB,IAAIjD,EAAE2B,IAAIyB,EAAE,EAAE,QAAQvB,GAAG,EAAEA,GAAGiB,EAAG,EAAEjB,GAAG,CAAC,IAAIC,GAAGD,GAAG2B,GAAGzB,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGuB,EAAE,CAAC,EAAE7B,GAAG,KAAK,IAAI0B,IAAIjD,EAAE6B,IAAIuB,EAAE,EAAEa,GAAG,EAAE,QAAQC,GAAG5C,GAAG4C,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIC,GAAGD,GAAG7C,GAAG0C,GAAG,QAAQK,GAAGJ,GAAGI,GAAGzC,GAAG,EAAEyC,GAAG,CAAC,IAAIC,GAAGD,GAAGjB,GAAGzB,GAAG,QAAQ4C,GAAGxC,GAAGwC,GAAG/C,GAAG,EAAE+C,GAAG,CAAC,IAAI5B,GAAG4B,GAAGlB,GAAGvB,GAAG0C,GAAGnF,EAAEoE,GAAGnE,EAAE6E,GAAG5E,EAAE8E,GAAG7E,EAAE+E,GAAGI,GAAGhF,GAAGI,EAAE,EAAEqE,IAAIjC,GAAGnC,EAAE,EAAEsE,IAAI1E,GAAGK,EAAE,EAAE0C,IAAI9C,EAAEiE,GAAG,QAAQc,GAAG,EAAEA,GAAG7B,EAAG,EAAE6B,GAAG,CAAC,IAAIH,GAAG,EAAED,GAAGI,EAAE,EAAEE,GAAGrF,EAAEkF,GAAGC,EAAE,EAAEV,IAAIO,GAAGK,EAAE,CAAC,CAAC,CAAC,CAACrH,EAAEC,EAAE+F,GAAG7E,EAAEmF,GAAG,EAAErC,GAAGQ,EAAEL,GAAGiC,EAAE,EAAEI,EAAE,CAAC,CAAC,CAAC,OAAOpJ,EAAE,eAAe0C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg+D,GAAG,CAAC,WAAWr+E,GAAG,YAAY,MAAM,WAAWo+E,EAAE,EAAME,GAAGrJ,GAAGh1E,GAAGwd,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE8gE,GAAG,CAAC,WAAWt+E,GAAG,YAAY,MAAM,WAAWq+E,EAAE,EAAME,GAAGvJ,GAAG/0E,GAAGud,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEghE,GAAG,CAAC,WAAWv+E,GAAG,YAAY,MAAM,WAAWs+E,EAAE,EAAE,SAASE,GAAGjhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,EAAE,MAAM,CAAC,EAAE,CAACkB,EAAE,CAAC,EAAEjC,EAAEuF,EAAEzY,GAAG,CAACiU,EAAEkB,EAAE,EAAEnB,CAAC,EAAE,SAAS,EAAE,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuE,EAAEvE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwE,EAAExE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsE,EAAEnG,EAAE,eAAe6B,EAAE,KAAK,EAAEuE,EAAEpG,EAAE,eAAe8I,EAAE,KAAK,EAAE,QAAQzC,EAAE,EAAEA,EAAE/B,EAAE+B,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE0C,EAAE,EAAExC,CAAC,EAAEC,EAAE,EAAED,EAAE,CAAC,EAAEE,EAAE,EAAEF,EAAE,CAAC,EAAEG,EAAE,EAAEH,EAAE,CAAC,EAAEI,EAAEV,EAAEI,CAAC,EAAE,GAAGM,GAAGzC,EAAE,SAAS,IAAI0C,EAAEpB,EAAE,GAAGiB,EAAEsC,IAAI5E,EAAE,IAAIqB,EAAE,GAAG,EAAEqB,EAAE,EAAE,GAAGH,EAAEF,IAAIpC,EAAE,IAAI,EAAE,GAAG,EAAE,QAAQoF,EAAE,EAAEA,EAAEhE,EAAEgE,IAAI,CAAC,IAAIP,EAAEzD,EAAE,EAAEuD,GAAG5E,EAAE,GAAGqF,EAAE5C,EAAE,IAAImC,EAAEtC,IAAItC,EAAE,GAAG,GAAG8E,EAAE,GAAGA,EAAE9E,EAAE,EAAE,CAAC,QAAQsF,EAAE,EAAEA,EAAE,EAAEA,IAAI,QAAQC,EAAG,EAAEA,EAAGrF,EAAEqF,IAAK,CAAC,IAAIC,EAAGD,EAAGD,EAAErD,EAAE,CAAC,EAAEoD,EAAEpD,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAE0C,EAAE,OAAOa,CAAE,EAAElG,CAAC,CAAC,QAAQ,CAAC,GAAGD,IAAI,WAAW,CAAC,IAAIiG,EAAE,KAAK,MAAMR,CAAC,EAAES,EAAG,KAAK,KAAKT,CAAC,EAAEU,EAAGV,EAAEQ,EAAE,QAAQG,GAAG,EAAEA,GAAG,EAAEA,KAAK,CAAC,IAAIC,GAAG,EAAE,EAAErD,GAAGpC,EAAE,GAAGwF,GAAG/C,EAAE,IAAIL,EAAEE,IAAItC,EAAE,GAAG,GAAGyF,GAAG,GAAGA,GAAGzF,EAAE,EAAE,CAAC,QAAQ6F,GAAG,EAAEA,GAAG5F,EAAE4F,KAAK,CAAC,IAAIC,GAAGD,GAAGL,GAAGxD,EAAE,CAAC,EAAEoD,EAAEpD,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAE0C,EAAE,OAAOoB,EAAE,EAAEzG,CAAC,CAAC,QAAQ,CAAC,IAAIqG,GAAG,KAAK,MAAMD,EAAE,EAAE3B,GAAG,KAAK,KAAK2B,EAAE,EAAEG,GAAGH,GAAGC,GAAG,QAAQG,GAAG,EAAEA,GAAG5F,EAAE4F,KAAK,CAAC,IAAIC,GAAGD,GAAGH,GAAG3D,EAAE,CAAC,EAAEsD,EAAEtD,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAEgE,GAAGjE,EAAEgE,EAAE,EAAEA,GAAGD,GAAG/B,GAAG/B,EAAE,CAAC,EAAEsD,EAAEtD,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAE,IAAIiE,GAAGlE,EAAEgE,EAAE,EAAEA,GAAGD,GAAGH,GAAG3D,EAAE,CAAC,EAAEuD,EAAGvD,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAE,IAAIkE,GAAGnE,EAAEgE,EAAE,EAAEA,GAAGD,GAAG/B,GAAG/B,EAAE,CAAC,EAAEuD,EAAGvD,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAE,IAAIuE,GAAGxE,EAAEgE,EAAE,EAAES,GAAGR,IAAIC,GAAGD,IAAIH,GAAGY,GAAGP,IAAIK,GAAGL,IAAIL,GAAGE,GAAGD,GAAGL,GAAGxD,EAAE,CAAC,EAAEoD,EAAEpD,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAE0C,EAAE,OAAOoB,EAAE,EAAES,IAAIC,GAAGD,IAAIhB,CAAE,CAAC,CAAC,KAAM,SAAQF,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAG,EAAE,EAAElD,GAAGpC,EAAE,GAAGqF,EAAE5C,EAAE,IAAIL,EAAEE,IAAItC,EAAE,GAAG,GAAGsF,EAAG,GAAGA,EAAGtF,EAAE,EAAE,CAAC,QAAQyF,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAIC,GAAGD,GAAGJ,EAAErD,EAAE,CAAC,EAAEoD,EAAEpD,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAE0C,EAAE,OAAOgB,EAAE,EAAErG,CAAC,CAAC,QAAQ,CAAC,IAAIkG,EAAG,KAAK,MAAMD,CAAE,EAAEE,GAAG,KAAK,MAAMX,CAAC,EAAE,QAAQY,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAIC,GAAGD,GAAGF,EAAGxD,EAAE,CAAC,EAAEyD,GAAGzD,EAAE,CAAC,EAAEQ,EAAER,EAAE,CAAC,EAAE+B,GAAG2B,GAAGJ,EAAErD,EAAE,CAAC,EAAEoD,EAAEpD,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,EAAE0C,EAAE,OAAOZ,EAAE,EAAEhC,EAAE4D,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOpI,EAAE,eAAeoH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI45D,GAAG,CAAC,WAAWx+E,GAAG,YAAY,MAAM,WAAWu+E,EAAE,EAAE,SAASE,GAAGnhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,SAAS,EAAE,IAAI2B,EAAEhU,EAAE,mBAAmB,CAAC,CAAC,EAAEqS,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEw3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK8B,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE1U,EAAE,iBAAiB,EAAEqS,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAErE,GAAG2D,EAAE,MAAM,OAAO,EAAEW,EAAEpE,EAAE,mBAAmBA,EAAE,cAAcyD,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE+B,EAAEjC,EAAE,CAACuF,EAAE,IAAIA,EAAExE,EAAE,EAAE,EAAE,CAACwE,EAAE,IAAIA,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,GAAGxE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAI2B,EAAET,EAAEsD,EAAE,CAAC,EAAE,GAAG,IAAI,EAAE1E,EAAE6B,CAAC,EAAE,EAAE,EAAE5B,EAAE4B,CAAC,MAAM,CAAC,IAAIC,EAAEV,EAAEsD,EAAE,EAAE,CAAC,EAAE1E,EAAE6B,CAAC,EAAE,EAAE5B,EAAE6B,CAAC,EAAE9B,EAAE8B,CAAC,EAAE7B,EAAE4B,CAAC,EAAE7B,EAAE8B,CAAC,CAAC,CAAC,CAAC,IAAI,EAAExE,EAAE,eAAe+B,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIsF,EAAEtZ,EAAE,uBAAuBgU,CAAC,EAAE,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIm/D,GAAG,CAAC,WAAWz+E,GAAG,YAAY,MAAM,WAAWw+E,EAAE,EAAE,SAASE,GAAGrhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI2B,EAAEhU,EAAE,mBAAmB,CAAC,CAAC,EAAEqS,EAAE,MAAM,MAAM,EAAE4B,EAAE5B,EAAE2B,GAAG,OAAOC,EAAEw3D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK8B,CAAC,CAAC,CAAC,GAAG,IAAIU,EAAE1U,EAAE,iBAAiB,EAAEqS,EAAE,MAAM,MAAM,EAAE,CAAC,EAAE,GAAGqC,IAAIT,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,oDAAoDA,EAAE,MAAM,OAAO,kBAAkBS,GAAG,EAAE,IAAIC,EAAErE,GAAG2D,EAAE,MAAM,OAAO,EAAEW,EAAEpE,EAAE,oBAAoBA,EAAE,cAAcyD,EAAE,KAAK,EAAEU,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI+B,EAAE,MAAM,EAAE,OAAOa,EAAEb,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE+B,EAAEjC,EAAE,CAACuF,EAAE,IAAIA,EAAExE,EAAE,EAAE,EAAE,CAACwE,EAAE,IAAIA,EAAE,EAAE,QAAQA,EAAE,EAAEA,EAAEzE,EAAE,OAAOyE,GAAGxE,EAAE,QAAQ,EAAE,EAAE,EAAEA,EAAE,IAAI,CAAC,IAAI2B,EAAET,EAAEsD,EAAE,CAAC,EAAE,GAAG,IAAI,EAAE1E,EAAE6B,CAAC,EAAE,EAAE,EAAE5B,EAAE4B,CAAC,MAAM,CAAC,IAAIC,EAAEV,EAAEsD,EAAE,EAAE,CAAC,EAAE1E,EAAE6B,CAAC,EAAE,EAAE5B,EAAE6B,CAAC,EAAE9B,EAAE8B,CAAC,EAAE7B,EAAE4B,CAAC,EAAE7B,EAAE8B,CAAC,CAAC,CAAC,CAAC,IAAI,EAAExE,EAAE,eAAe+B,EAAE,MAAMU,EAAEC,CAAC,EAAE,GAAGZ,GAAG,KAAK,CAAC,IAAIsF,EAAEtZ,EAAE,uBAAuBgU,CAAC,EAAE,EAAEy3D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B+B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIq/D,GAAG,CAAC,WAAW1+E,GAAG,YAAY,MAAM,WAAWy+E,EAAE,EAAE,SAASE,GAAGvhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAE6wD,GAAGvxD,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO/B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMwC,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,WAAWG,CAAC,EAAE4B,EAAE/B,EAAE,WAAW,CAAC,EAAEwC,EAAE8wD,GAAGxxD,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO7B,EAAE,eAAewC,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAImhE,GAAG,CAAC,WAAWz+E,GAAG,YAAY,MAAM,WAAWw+E,EAAE,EAAE,SAASE,GAAGzhE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE5B,EAAE,OAAO,IAAI,OAAO,IAAI,+DAA+D,GAAG,EAAE,IAAIuD,EAAE1B,EAAE,MAAM,CAAC,EAAE2B,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE5B,EAAE,MAAM,CAAC,EAAEqC,EAAErC,EAAE,MAAM,CAAC,EAAEsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE5C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2D,EAAE,IAAI,aAAajC,EAAEY,EAAEC,EAAEC,CAAC,EAAE,EAAE,EAAE,QAAQyE,EAAE,EAAEA,EAAEvF,EAAE,EAAEuF,EAAE,QAAQ,EAAE,EAAE,EAAE3E,EAAE,EAAE,EAAE,CAAC,IAAI8B,EAAE,KAAK,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE/B,EAAE,EAAE+B,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAE,CAAC,EAAEE,EAAEF,EAAE,EAAEI,GAAGL,EAAE,EAAEG,GAAGhC,EAAE,QAAQ0E,EAAE,EAAEA,EAAE1E,EAAE,EAAE0E,EAAE,CAAC,IAAItC,EAAEsC,EAAExC,EAAErC,GAAGkC,EAAE3C,GAAGwC,EAAEzC,EAAEsF,IAAItD,EAAE,GAAG,EAAElB,EAAEmC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe,CAAC6B,EAAEY,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAI09D,GAAG,CAAC,WAAW1+E,GAAG,YAAY,MAAM,WAAWy+E,EAAE,EAAE,SAASE,GAAG3hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,uBAAuB,EAAE,IAAIqC,EAAElE,EAAE,eAAe6B,EAAE,KAAK,EAAEsC,EAAEnE,EAAE,eAAe,EAAE,KAAK,EAAEoE,EAAEZ,EAAEY,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGpE,EAAE,OAAOxQ,EAAE,+BAA+B,EAAE4U,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAE7U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEb,EAAEE,EAAE,EAAE,EAAE,CAAC,aAAaa,EAAE,YAAYkB,EAAE,eAAe,EAAE,cAAcsD,EAAE,QAAQ,CAAC,EAAEzE,EAAE4B,EAAE,EAAE,KAAKC,EAAE,EAAE,IAAIC,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAE,IAAIzY,GAAG0W,EAAE,SAASxC,EAAE,KAAK,EAAEwE,EAAE3E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0E,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOqH,EAAE3C,EAAE,OAAO,QAAQI,EAAE,EAAEA,EAAEnC,EAAE,UAAU,EAAEmC,EAAE,CAAC,IAAIC,EAAED,EAAEtC,EAAE,CAAC,EAAEwC,EAAEF,EAAEJ,EAAE,QAAQ,CAAC,EAAE,QAAQO,EAAE,EAAEA,EAAEtC,EAAE,UAAU,EAAEsC,EAAE,CAAC,IAAIC,EAAEF,EAAEC,EAAEP,EAAE,QAAQ,CAAC,EAAES,EAAEF,EAAEtC,EAAE,aAAa6B,EAAE,QAAQsD,EAAE,EAAEA,EAAElF,EAAE,EAAEkF,EAAE,CAAC,IAAIP,EAAEpC,EAAE2C,EAAE,EAAE,GAAGP,EAAE,GAAGA,GAAG5E,EAAE,SAAS,SAAS,IAAIoF,EAAED,EAAErF,EAAE,CAAC,EAAEuF,EAAGjD,EAAEwC,EAAE/E,EAAE,CAAC,EAAE,QAAQyF,EAAG,EAAEA,EAAGtF,EAAE,SAAS,EAAEsF,EAAG,CAAC,IAAIC,GAAGhD,EAAE+C,EAAGvD,EAAE,QAAQ,CAAC,EAAEyD,GAAGF,EAAGtF,EAAE,YAAY4B,EAAE,QAAQ6D,GAAG,EAAEA,GAAGtE,EAAE,EAAEsE,GAAG,CAAC,IAAI5B,GAAG2B,GAAGC,GAAGhB,EAAE,GAAGZ,GAAG,GAAGA,IAAI7D,EAAE,QAAQ,SAAS,IAAI2F,GAAGP,EAAEK,GAAG3F,EAAE,CAAC,EAAE8F,GAAGP,EAAGxB,GAAG7D,EAAE,WAAW6F,GAAGN,GAAGO,GAAGH,GAAG,QAAQI,GAAG,EAAEA,GAAG/F,EAAE,WAAW,EAAE+F,GAAG,CAAC,IAAIC,GAAGhE,EAAE4D,GAAGG,EAAE,EAAE,QAAQM,GAAG,EAAEA,GAAGvE,EAAE,EAAEuE,GAAG3B,EAAEmB,GAAGQ,EAAE,GAAGL,GAAG9D,EAAE4D,GAAGO,EAAE,EAAER,IAAI/D,EAAEgE,IAAIhE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOzE,EAAE,eAAe0E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIg9D,GAAG,CAAC,WAAW3+E,GAAG,YAAY,MAAM,WAAW0+E,EAAE,EAAE,SAASE,GAAG7hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,qCAAqC,EAAE,IAAIsC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAE,CAAC,aAAaW,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYkB,CAAC,EAAErB,EAAE,EAAE,IAAIxW,GAAGwW,EAAE,YAAY,SAAS,EAAE2E,EAAE3E,EAAE,QAAQ,KAAK,EAAEA,EAAE,QAAQ,IAAI8B,EAAE9B,EAAE,YAAYA,EAAE,WAAW+B,EAAExE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsE,EAAE,IAAIxY,GAAGkU,EAAE,MAAMA,EAAE,MAAMqE,CAAC,EAAEE,EAAE1E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO2E,EAAE,IAAI1Y,GAAG,EAAE,MAAM,EAAE,MAAMyY,CAAC,EAAE,QAAQG,EAAE,EAAEA,EAAEjC,EAAE,EAAEiC,EAAE,CAAC,IAAIwC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM,EAAExC,GAAGnC,CAAC,CAAC,EAAEoC,EAAE,KAAK,IAAIrC,EAAE,WAAWA,EAAE,SAAS,EAAEoC,GAAGnC,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEjB,EAAE,EAAEiB,EAAE,CAAC,IAAIC,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMoC,EAAErC,GAAGpC,CAAC,CAAC,EAAEsC,EAAE,KAAK,IAAIxC,EAAE,UAAUA,EAAE,QAAQ2E,EAAErC,GAAGpC,CAAC,EAAE,QAAQuC,EAAE,EAAEA,EAAEzC,EAAE,YAAY,EAAEyC,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMD,EAAEX,CAAC,EAAEuD,EAAE5C,EAAEX,EAAEgD,EAAE,EAAE,QAAQQ,EAAE,EAAEA,EAAEtF,EAAE,UAAU,EAAEsF,EAAE,QAAQC,EAAGX,EAAEW,EAAGlD,EAAE,EAAEkD,EAAG,CAAC,IAAIC,EAAGpD,EAAEmD,EAAGtF,EAAE,EAAE,QAAQwF,GAAGlD,EAAEkD,GAAGjD,EAAE,EAAEiD,GAAG,CAAC,IAAIC,GAAGpD,EAAEmD,GAAGvF,EAAEyE,EAAEG,GAAG9C,EAAE,IAAIsD,EAAEE,EAAGE,GAAGhD,CAAC,EAAER,EAAE,IAAIoD,EAAEC,EAAGE,GAAGhD,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIqC,EAAE1C,EAAEE,EAAEI,EAAE2C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO9H,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI4hE,GAAG,CAAC,WAAW5+E,GAAG,YAAY,MAAM,WAAW2+E,EAAE,EAAE,SAASE,GAAG/hE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,oCAAoC,EAAE,IAAIsC,EAAEnE,EAAE,eAAe6B,EAAE,KAAK,EAAEuC,EAAEpE,EAAE,eAAe,EAAE,KAAK,EAAEqE,EAAE7U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEa,EAAE,IAAI3W,GAAG0W,EAAE,QAAQ,SAAS,EAAEmB,EAAElB,EAAE,OAAO,CAAC,EAAEwE,EAAE,CAAC,EAAExE,EAAE,QAAQ2B,EAAEvE,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAACqE,EAAEC,EAAEC,CAAC,EAAEjC,EAAEkC,EAAE3E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC6E,EAAEwC,EAAEvC,CAAC,EAAEpC,EAAE,CAAC,UAAUqC,EAAE,aAAaC,EAAE,YAAYC,EAAE,WAAWC,EAAE,SAASC,EAAE,QAAQ2C,EAAE,YAAYP,EAAE,UAAUQ,EAAE,SAASC,EAAG,aAAaC,EAAG,YAAYC,EAAE,EAAEvF,EAAEwF,GAAGnD,EAAE,EAAErC,EAAE,QAAQ,IAAIyF,GAAGnD,EAAE,EAAEtC,EAAE,QAAQ,KAAK6D,GAAGe,EAAErC,EAAE,QAAQoD,GAAG,EAAEA,GAAGvD,EAAE,EAAEuD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,QAAQC,GAAG,EAAEA,GAAGrD,EAAE,EAAEqD,GAAG,CAAC,IAAIC,GAAGD,GAAGL,GAAGO,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGR,CAAE,CAAC,EAAEU,GAAG,KAAK,IAAIZ,GAAG/C,EAAEyD,IAAIR,CAAE,EAAE,QAAQe,GAAG,EAAEA,GAAGlB,EAAE,EAAEkB,GAAG,CAAC,IAAIC,GAAGD,GAAGZ,GAAGc,GAAG,KAAK,IAAI,EAAE,KAAK,KAAKD,GAAGf,EAAE,CAAC,EAAEzB,GAAG,KAAK,IAAIuB,GAAI/C,EAAEgE,IAAIf,EAAE,EAAEvB,GAAG,EAAE,QAAQC,GAAG8B,GAAG9B,GAAG+B,GAAG,EAAE/B,GAAG,CAAC,IAAIC,GAAGD,GAAGqB,EAAGQ,GAAG,QAAQU,GAAGD,GAAGC,GAAG1C,GAAG,EAAE0C,GAAG,CAAC,IAAIrC,GAAGqC,GAAGjB,GAAGe,GAAGlC,GAAGvC,EAAE8D,GAAG7D,EAAEmC,GAAGlC,EAAEyE,GAAGnC,GAAGnC,GAAGG,EAAE,EAAE6B,IAAIQ,GAAGpC,EAAE,EAAE6B,IAAIhC,EAAEyD,GAAG,QAAQtB,GAAG,EAAEA,GAAGT,GAAG,EAAES,GAAG,CAAC,IAAIP,GAAG6B,GAAG/B,GAAGS,GAAGmC,GAAG7E,EAAEwC,GAAGL,EAAE,EAAE2C,GAAG1E,EAAEqC,GAAGC,EAAE,EAAEN,IAAIyC,GAAGC,EAAE,CAAC,CAAC,CAACvF,EAAE,EAAEwE,GAAGlB,EAAEoB,GAAG,EAAEQ,GAAGT,EAAE,EAAE5B,EAAE,CAAC,CAAC,OAAO3G,EAAE,eAAe4C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIk/D,GAAG,CAAC,WAAW7+E,GAAG,YAAY,MAAM,WAAW4+E,EAAE,EAAE,SAASE,GAAGjiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEF,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,EAAEvR,GAAG,CAACwR,EAAEA,CAAC,EAAED,EAAE,KAAK,EAAE2B,EAAE,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIF,EAAEE,EAAE5B,EAAE4B,CAAC,EAAE,EAAEA,CAAC,EAAE,IAAID,EAAE,CAAC,GAAG5B,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe8B,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIkgE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW6+E,EAAE,EAAME,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO2c,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI,EAAE,UAAU+B,CAAC,EAAE7B,EAAE8B,EAAE,EAAEC,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEX,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAO,CAAC,UAAUwC,EAAE,SAASC,EAAE,QAAQkB,EAAE,WAAW,EAAE,UAAUsD,EAAE,SAAS,EAAE,QAAQ7C,EAAE,aAAaC,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeE,EAAE,cAAcwC,EAAE,SAASvC,CAAC,EAAEhX,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE,EAAE,OAAO0B,CAAC,EAAEkD,EAAEzG,EAAE,cAAcwG,CAAC,EAAEE,EAAEF,EAAE,OAAOG,EAAE3G,EAAE,kBAAkB4B,EAAE,MAAM6E,CAAC,EAAE,QAAQI,EAAE,EAAEA,EAAExC,EAAE,EAAEwC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAED,EAAE,IAAI,QAAQwD,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAGD,EAAEtD,EAAEF,EAAE,KAAK,QAAQ0D,EAAG,EAAEA,EAAG,EAAE,EAAEA,EAAG,CAAC,IAAIC,EAAG,OAAO,iBAAiB,QAAQE,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAI5B,GAAGe,EAAEa,GAAGvD,EAAE,GAAG2B,IAAI,GAAGA,GAAG5D,EAAE,QAAQ0F,GAAG,EAAEA,GAAG3D,EAAE,EAAE2D,GAAG,CAAC,IAAIC,GAAGP,EAAGM,GAAGjB,EAAE,GAAGkB,IAAI,GAAGA,GAAGzE,EAAE,CAAC,IAAI0E,GAAGlK,EAAE,WAAW,CAAC6G,EAAEqB,GAAG+B,GAAGN,CAAE,EAAEzF,EAAElE,EAAE,eAAe4B,EAAE,KAAK,CAAC,EAAEuI,GAAGnK,EAAE,WAAW,CAAC8J,GAAGE,GAAGL,CAAE,EAAEvF,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAEuI,GAAG3G,EAAEyG,EAAE,EAAE/F,EAAEgG,EAAE,EAAEC,GAAGR,IAAKA,EAAGQ,GAAG,CAAC,CAAC,CAAC,IAAIP,GAAG7J,EAAE,WAAW,CAAC6G,EAAE2C,EAAEC,EAAEE,CAAE,EAAEjD,EAAE1G,EAAE,eAAewG,CAAC,CAAC,EAAEG,EAAEkD,EAAE,EAAED,CAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOpG,EAAE,MAAMxD,EAAE,aAAa2G,EAAE/E,EAAE,KAAK,EAAE4E,EAAE5E,EAAE,KAAK,EAAE,MAAM4E,EAAE,MAAM5E,EAAE,KAAK,CAAC,CAAC,EAAMgiE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO0c,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,UAAUC,CAAC,EAAE9B,EAAE+B,EAAE,EAAES,EAAElE,EAAE,cAAc4B,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEnE,EAAE,cAAc6B,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASsD,EAAE,QAAQ,EAAE,aAAa7C,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeC,EAAE,cAAcE,EAAE,SAASwC,CAAC,EAAEvZ,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAExD,EAAE,OAAO,EAAE,OAAO+I,EAAE,OAAO,IAAI,YAAYjkB,4CAA4CikB,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIvC,EAAExG,EAAE,cAAc+I,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAEgD,EAAEzG,EAAE,0BAA0B6B,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ8E,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEX,EAAE,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAE,EAAE,KAAK,QAAQuD,EAAE,EAAEA,EAAEjE,EAAE,EAAEiE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG,EAAEC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGxD,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,QAAQ6D,GAAG,EAAEA,GAAG9B,EAAE,EAAE8B,GAAG,CAAC,IAAI8B,GAAGf,EAAEf,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAG1F,EAAE,CAAC,IAAI2F,GAAG/F,EAAEyC,CAAC,EAAEmD,EAAE,EAAEE,EAAE,EAAEP,CAAC,EAAEtF,EAAE0F,EAAE,EAAE3B,EAAE,EAAEuB,CAAC,EAAEQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGE,GAAGD,EAAG1B,GAAG,CAAC,CAAC,CAACzB,EAAEkD,CAAE,EAAEC,CAAE,EAAEH,CAAC,GAAGjD,EAAEG,CAAC,EAAEC,CAAC,EAAE4C,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMzD,EAAE,aAAayG,EAAE7E,EAAE,KAAK,EAAEC,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMgiE,GAAG,CAAC,WAAW9+E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOyc,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,OAAOC,EAAE,GAAG,CAAC,EAAEL,EAAE,CAAC,QAAQ,EAAE,IAAI+B,EAAE,UAAUC,CAAC,EAAE9B,EAAE+B,EAAE,EAAES,EAAElE,EAAE,cAAc4B,EAAE,MAAM6B,EAAE,KAAK,IAAI7B,EAAE,MAAM,EAAE,MAAM,EAAEuC,EAAEnE,EAAE,cAAc6B,EAAE,MAAM4B,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC,UAAUuC,EAAE,SAASC,EAAE,QAAQC,EAAE,WAAWkB,EAAE,UAAU,EAAE,SAASsD,EAAE,QAAQ,EAAE,aAAa7C,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAeC,EAAE,cAAcE,EAAE,SAASwC,CAAC,EAAEvZ,EAAE,sBAAsBoS,EAAE,MAAMC,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAExD,EAAE,OAAO,EAAE,OAAO+I,EAAE,OAAO,IAAI,YAAYhkB,4CAA4CgkB,EAAE,mBAAmB,EAAE,MAAM,EAAE,IAAIvC,EAAExG,EAAE,cAAc+I,EAAEtF,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAEgD,EAAEzG,EAAE,0BAA0B4B,EAAE,MAAMA,EAAE,KAAK,EAAE,QAAQ+E,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAEX,EAAE,EAAE,IAAI,QAAQuD,EAAE,EAAEA,EAAEV,EAAE,EAAEU,EAAE,CAAC,IAAIP,EAAEO,EAAEtD,EAAE,EAAE,KAAK,QAAQuD,EAAE,EAAEA,EAAEjE,EAAE,EAAEiE,EAAE,CAAC,IAAIC,EAAG,OAAO,iBAAiBC,EAAG9C,EAAE,EAAE,EAAEA,EAAE+C,EAAGX,EAAE,EAAE,EAAEA,EAAE,QAAQY,GAAG,EAAEA,GAAG1D,EAAE,EAAE0D,GAAG,CAAC,IAAIC,GAAGjD,EAAEgD,GAAGxD,EAAE,GAAGyD,IAAI,GAAGA,GAAGzF,EAAE,QAAQ6D,GAAG,EAAEA,GAAG9B,EAAE,EAAE8B,GAAG,CAAC,IAAI8B,GAAGf,EAAEf,GAAG3B,EAAE,GAAGyD,IAAI,GAAGA,GAAG1F,EAAE,CAAC,IAAI2F,GAAG/F,EAAEyC,CAAC,EAAEmD,EAAE,EAAEE,EAAE,EAAEP,CAAC,EAAEtF,EAAE0F,EAAE,EAAE3B,EAAE,EAAEuB,CAAC,EAAEQ,GAAGP,IAAKA,EAAGO,GAAGN,EAAGG,GAAGF,EAAGI,GAAG,CAAC,CAAC,CAACvD,EAAEE,CAAC,EAAEgD,CAAE,EAAEC,CAAE,EAAEH,CAAC,GAAGjD,EAAEG,CAAC,EAAEC,CAAC,EAAE4C,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOhG,EAAE,MAAMzD,EAAE,aAAayG,EAAE7E,EAAE,KAAK,EAAEA,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAE,SAASkiE,GAAGtiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAE1B,EAAE,QAAQ,OAAO0B,EAAEi1D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,OAAO,CAAC,CAAC,EAAE6B,EAAE60D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAED,EAAE,MAAM,OAAOE,EAAEzD,EAAE,eAAe,EAAEuD,EAAE,KAAK,EAAEW,EAAE1U,EAAE,mBAAmBiU,EAAED,CAAC,EAAEW,EAAEV,EAAEW,EAAEb,EAAEW,GAAG,OAAOE,EAAE62D,GAAG,CAAC,OAAO,CAAC,EAAE13D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAEC,EAAE3U,EAAE,iBAAiB2U,EAAE,OAAOX,CAAC,GAAGhU,EAAE,2BAA2B,MAAM2U,EAAEC,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE9U,EAAE,0BAA0B4U,EAAE,MAAMD,CAAC,EAAEqB,EAAEhW,EAAE,WAAW4U,EAAE,MAAM,OAAO,EAAE,EAAE+zD,GAAGz2D,EAAE2C,EAAEmB,CAAC,EAAEsD,EAAE9I,EAAE,cAAcsE,CAAC,EAAE,EAAE5C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOuE,EAAEvE,EAAE,KAAK,IAAI0C,EAAE,MAAM,EAAE,OAAO,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAED,EAAE4C,EAAE1C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEyC,EAAE,EAAEzC,EAAED,GAAGH,EAAEE,EAAEE,CAAC,EAAE,EAAEH,CAAC,EAAEE,CAAC,CAAC,GAAG,EAAE,CAAC,IAAIF,EAAE1W,EAAE,qBAAqB,EAAE,MAAMiU,CAAC,EAAE0C,EAAE,EAAE,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAExE,EAAE,8BAA8ByE,CAAC,CAAC,CAAC,OAAOzE,EAAE,8BAA8B6B,CAAC,EAAEW,GAAG,MAAMxC,EAAE,8BAA8B0C,CAAC,EAAE,CAAC,CAAC,IAAI2/D,GAAG,CAAC,WAAWz2E,GAAG,YAAY,MAAM,WAAWw2E,EAAE,EAAE,SAASE,GAAGxiE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,SAASK,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEhU,EAAE,qBAAqBqS,EAAE,EAAE,MAAM,EAAErS,EAAE,oBAAoB,EAAE,OAAOgU,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE1U,EAAE,qBAAqB+T,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,CAAC,EAAE,CAAC,GAAG,CAAC,mBAAmBsD,EAAE,WAAW,CAAC,EAAEtZ,EAAE,qBAAqB6U,EAAEb,EAAE,CAAC,CAAC,EAAEyC,EAAEzW,EAAE,sBAAsBsZ,CAAC,EAAE7C,EAAE,EAAE,CAAC,GAAGA,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAExE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAED,EAAE,OAAO,EAAEC,CAAC,EAAE,EAAE,CAAC,EAAEnG,EAAE,YAAYiG,EAAE,MAAMC,CAAC,IAAID,EAAE63D,GAAG,CAAC,OAAO,CAAC73D,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEu2D,GAAG,CAAC,OAAO,CAAC,EAAE10D,EAAE,EAAE7B,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,CAAC,GAAG,IAAIpB,EAAE0/D,GAAG,CAAC,OAAO,CAAC,EAAE1/D,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,KAAK+B,EAAE+B,CAAC,GAAG,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG1C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAI6/D,GAAG,CAAC,WAAW/+E,GAAG,YAAY,MAAM,WAAW8+E,EAAE,EAAE,SAASE,GAAG1iE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,EAAEC,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,IAAI,aAAa7B,EAAE,cAAc6B,EAAE,KAAK,CAAC,EAAE,EAAEH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO,QAAQ4B,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAEC,GAAG,EAAE,EAAED,CAAC,EAAED,EAAEC,CAAC,EAAE,EAAEA,CAAC,EAAED,EAAEC,CAAC,GAAGC,EAAE,EAAE,CAAC,OAAO/B,EAAE,eAAeG,EAAE,MAAM,UAAU,CAAC,CAAC,CAAC,IAAIsiE,GAAG,CAAC,WAAW/+E,GAAG,YAAY,MAAM,WAAW8+E,EAAE,EAAME,GAAG50E,EAAE,MAAM60E,GAAG70E,EAAE,OAAO80E,GAAG90E,EAAE,OAAO+0E,GAAG/0E,EAAE,OAAOg1E,GAAGh1E,EAAE,OAAOi1E,GAAGj1E,EAAE,OAAOk1E,GAAG1L,GAAGzzE,GAAGic,GAAG,CAAC,IAAI,EAAE,KAAK,KAAKA,CAAC,EAAEE,EAAE,KAAK,IAAIF,CAAC,EAAEI,EAAE,GAAG,EAAEwiE,GAAG1iE,GAAG,OAAO,GAAG,MAAM+iE,GAAG7iE,EAAE4iE,IAAI5iE,EAAE2iE,IAAI3iE,EAAE0iE,IAAI1iE,EAAEyiE,IAAIziE,EAAE,KAAK,IAAI,CAACF,EAAEA,CAAC,EAAE,CAAC,EAAEijE,GAAG,CAAC,WAAWp/E,GAAG,YAAY,MAAM,WAAWm/E,EAAE,EAAE,SAASE,GAAGpjE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAIxD,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAEwD,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEs6D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM6B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIshE,GAAG,CAAC,WAAWp/E,GAAG,YAAY,MAAM,WAAWm/E,EAAE,EAAME,GAAG9M,GAAG,CAACx2D,EAAE,IAAIA,EAAE,CAAC,EAAEujE,GAAGrM,GAAG/tE,GAAGm6E,EAAE,EAAEE,GAAG,CAAC,WAAWr6E,GAAG,YAAY,MAAM,WAAWo6E,EAAE,EAAE,SAASE,GAAGzjE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAMK,EAAED,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAEF,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE+B,EAAE,EAAE,mBAAmB,KAAKC,EAAE,EAAE,mBAAmB,KAAKC,EAAE,CAAC5B,EAAE,CAAC,EAAEqC,EAAElE,EAAE,cAAcyD,CAAC,EAAEU,EAAEnE,EAAE,uBAAuB,UAAUkE,CAAC,EAAEE,EAAEpE,EAAE,uBAAuB,UAAUkE,CAAC,EAAE,QAAQ,EAAE,EAAE,EAAErC,EAAE,IAAI,CAAC,IAAIiH,EAAEuzD,GAAG,CAAC,OAAO,CAAC,EAAE94D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE26D,GAAG,CAAC,OAAO,CAAC,EAAE74D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEuE,EAAEgyD,GAAG,CAAC,OAAO,CAAC,KAAKnvD,EAAE,KAAK,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE,CAAC,KAAKwE,EAAE,KAAKC,CAAC,EAAE++D,GAAGj/D,EAAE,EAAEvE,CAAC,EAAE0E,EAAE5W,EAAE,uBAAuB0W,EAAEC,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIE,EAAE/W,EAAE,oBAAoB4W,EAAEC,CAAC,EAAElC,EAAE,EAAE,EAAEkC,CAAC,EAAEE,EAAE,KAAKnC,EAAE,EAAE,EAAEiC,CAAC,EAAEE,EAAE,IAAI,CAAC7E,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BuE,CAAC,CAAC,CAAC,IAAI5B,EAAE3C,EAAE,eAAe+B,EAAE,UAAUU,CAAC,EAAEG,EAAE5C,EAAE,eAAe+B,EAAE,UAAUW,CAAC,EAAEoB,EAAEyyD,GAAG,CAAC,OAAO,CAAC,KAAK5zD,EAAE,KAAKC,CAAC,EAAE,QAAQ5C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,SAAS0/D,GAAG1jE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE5B,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAEH,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,EAAEE,EAAE,KAAK,IAAIG,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,EAAEH,EAAE,KAAK,IAAIG,EAAE,mBAAmB,KAAK,MAAM,EAAE,OAAO,GAAGsjE,GAAGvjE,CAAC,EAAE,CAAC,IAAI2B,EAAE6hE,GAAG,EAAE,EAAExjE,EAAE,EAAEF,CAAC,EAAE8B,EAAE,CAAChC,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIiC,EAAE/B,EAAE,eAAe8B,EAAE,UAAUD,EAAE,IAAI,EAAEW,EAAExC,EAAE,eAAe8B,EAAE,UAAUD,EAAE,IAAI,EAAEY,EAAEzC,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkB4B,EAAE,SAAS,CAAC,EAAEwC,EAAEg0D,GAAG,CAAC,OAAO,CAAC,EAAEj0D,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE2C,EAAE2gE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAEvhE,EAAE,EAAEU,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE4C,EAAE0gE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE9gE,EAAE,EAAEE,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE8D,EAAE9D,EAAE,KAAK,IAAI2C,EAAE,MAAM,EAAE,OAAO,EAAE3C,EAAE,KAAK,IAAI4C,EAAE,MAAM,EAAE,OAAO,OAAO5C,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,KAAKkB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOjC,CAAC,KAAK,CAAC,IAAIA,EAAE/T,EAAE,uBAAuB,EAAE,CAAC,EAAEgU,EAAE6hE,GAAG9hE,EAAE3B,EAAE,CAAC,EAAE,OAAOpS,EAAE,uBAAuBgU,CAAC,CAAC,CAAC,CAAC,SAAS2hE,GAAG3jE,EAAE,CAAC,OAAOA,EAAEA,EAAE,KAAK,CAAC,CAAC,SAAS4jE,GAAG5jE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,GAAGH,IAAI,EAAE,MAAM,CAAC,KAAKF,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEhS,EAAE,uBAAuBgS,EAAE,CAAC,EAAE,EAAEE,EAAE,EAAE6B,EAAE/T,EAAE,qBAAqB,CAAC,EAAEgU,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKW,EAAE,CAACV,EAAE,MAAM,EAAEW,EAAEtC,EAAE,eAAeqC,EAAE,UAAUV,CAAC,EAAEY,EAAEvC,EAAE,eAAeqC,EAAE,UAAUT,CAAC,EAAEY,EAAE4zD,GAAG,CAAC,OAAO,CAAC,KAAK9zD,EAAE,KAAKC,CAAC,EAAE,QAAQvC,CAAC,CAAC,EAAEyC,EAAE9U,EAAE,oBAAoB,CAAC,EAAEgW,EAAElB,EAAE,KAAK,EAAEA,EAAE,KAAKwE,EAAE,CAACtD,EAAE,MAAM,EAAE,EAAE3D,EAAE,eAAeiH,EAAE,UAAUtD,CAAC,EAAES,EAAEpE,EAAE,eAAeiH,EAAE,UAAU,CAAC,EAAE5C,EAAE+xD,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKhyD,CAAC,EAAE,QAAQpE,CAAC,CAAC,EAAEsE,EAAEi/D,GAAG5hE,EAAEC,EAAE,EAAE7B,EAAEC,CAAC,EAAEuE,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKI,EAAE,CAACH,EAAE,MAAM,EAAE2C,EAAElH,EAAE,eAAe0E,EAAE,UAAUH,CAAC,EAAEI,EAAE3E,EAAE,eAAe0E,EAAE,UAAUF,CAAC,EAAEI,EAAEwxD,GAAG,CAAC,OAAO,CAAC,KAAKlvD,EAAE,KAAKvC,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE6E,EAAE0+D,GAAG5/D,EAAE,EAAE,EAAE5D,EAAEC,CAAC,EAAE8E,EAAED,EAAE,KAAKE,EAAEF,EAAE,KAAKG,EAAE,CAACF,EAAE,MAAM,EAAE6C,EAAE3H,EAAE,eAAegF,EAAE,UAAUF,CAAC,EAAEsC,EAAEpH,EAAE,eAAegF,EAAE,UAAUD,CAAC,EAAE6C,EAAEwuD,GAAG,CAAC,OAAO,CAAC,KAAKzuD,EAAE,KAAKP,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAE6H,EAAGla,EAAE,UAAUkS,EAAEE,CAAC,EAAE+H,EAAG,CAACD,EAAG,KAAK,MAAM,EAAEE,GAAG/H,EAAE,eAAe8H,EAAG,UAAUD,EAAG,IAAI,EAAEG,GAAGhI,EAAE,eAAe8H,EAAG,UAAUD,EAAG,IAAI,EAAEI,GAAGmuD,GAAG,CAAC,OAAO,CAAC,KAAKruD,GAAG,KAAKC,EAAE,EAAE,QAAQhI,CAAC,CAAC,EAAEqG,GAAGyyD,GAAG,CAAC,OAAO,CAAC,EAAE7wD,GAAG,EAAEL,CAAC,EAAE,QAAQ5H,CAAC,CAAC,EAAEmI,GAAG6uD,GAAG,CAAC,OAAO,CAAC,EAAEpyD,EAAE,EAAEyB,EAAE,EAAE,QAAQrG,CAAC,CAAC,EAAEoI,GAAG6yD,GAAG,CAAC,OAAO,CAAC,EAAEr2D,EAAE,EAAEyB,EAAE,EAAE,QAAQrG,CAAC,CAAC,EAAEqI,GAAGouD,GAAG,CAAC,OAAO,CAAC,MAAMtuD,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEsI,GAAGmuD,GAAG,CAAC,OAAO,CAAC,MAAMruD,EAAE,EAAE,QAAQpI,CAAC,CAAC,EAAEuI,GAAGi3D,GAAG,CAAC,OAAO,CAAC,MAAMr3D,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEwI,GAAGg3D,GAAG,CAAC,OAAO,CAAC,MAAMp3D,EAAE,EAAE,QAAQpI,CAAC,CAAC,EAAE6I,GAAG62D,GAAG,CAAC,OAAO,CAACr3D,GAAGC,EAAE,EAAE,QAAQtI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE8I,GAAG42D,GAAG,CAAC,OAAO,CAACn3D,GAAGC,EAAE,EAAE,QAAQxI,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE+I,GAAG/I,EAAE,KAAK,IAAI6I,GAAG,MAAM,EAAE,OAAOvC,GAAGtG,EAAE,KAAK,IAAI8I,GAAG,MAAM,EAAE,OAAO,OAAO9I,EAAE,8BAA8BsC,CAAC,EAAEtC,EAAE,8BAA8BuC,CAAC,EAAEvC,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8BoE,CAAC,EAAEpE,EAAE,8BAA8BqE,CAAC,EAAErE,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8B2E,CAAC,EAAE3E,EAAE,8BAA8B4E,CAAC,EAAE5E,EAAE,8BAA8B2H,CAAC,EAAE3H,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B4H,CAAC,EAAE5H,EAAE,8BAA8B+H,EAAE,EAAE/H,EAAE,8BAA8BgI,EAAE,EAAEhI,EAAE,8BAA8BiI,EAAE,EAAEjI,EAAE,8BAA8BqG,EAAE,EAAErG,EAAE,8BAA8BmI,EAAE,EAAEnI,EAAE,8BAA8BoI,EAAE,EAAEpI,EAAE,8BAA8BqI,EAAE,EAAErI,EAAE,8BAA8BuI,EAAE,EAAEvI,EAAE,8BAA8BsI,EAAE,EAAEtI,EAAE,8BAA8BwI,EAAE,EAAExI,EAAE,8BAA8B6I,EAAE,EAAE7I,EAAE,8BAA8B8I,EAAE,EAAE,CAAC,KAAKC,GAAG,KAAKzC,EAAE,CAAC,CAAC,SAASk9D,GAAG7jE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAa,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,QAAQ0B,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAEhU,EAAE,SAASqS,EAAE0B,EAAE,EAAE7B,CAAC,EAAE+B,EAAEjU,EAAE,oBAAoBgS,EAAE+B,CAAC,EAAE,GAAGE,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,KAAK,GAAGC,EAAE,KAAKD,EAAE,KAAKC,EAAE,KAAKD,EAAE,IAAI,CAAC9B,IAAI,GAAG,EAAE,GAAG,GAAGlS,EAAE,mBAAmBoS,EAAE,EAAE,EAAEC,CAAC,CAAC,CAAC,OAAOD,CAAC,CAAC,SAAS0jE,GAAG9jE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEC,EAAE,EAAE0B,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEl8D,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAEyhE,GAAG1hE,EAAE,GAAG7B,CAAC,EAAE+B,EAAEq6D,GAAG,CAAC,OAAO,CAAC,EAAEt6D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAME,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOF,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI8hE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAE,SAASE,GAAGhkE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,MAAMC,EAAE,MAAM,CAAC,EAAEH,EAAE,EAAE,GAAG1B,EAAE,WAAW6B,CAAC,EAAE0B,EAAEvD,EAAE,kBAAkB,EAAEA,EAAE,cAAc4B,CAAC,CAAC,EAAE,OAAO6jE,GAAGliE,EAAE1B,EAAE,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE2B,CAAC,CAAC,CAAC,IAAImiE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASC,GAAGjkE,EAAE,EAAEE,EAAE,CAACF,EAAE,KAAK,CAAC,CAAC,CAAC,IAAImkE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO2b,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAEK,EAAEH,EAAE,EAAE1B,EAAE,uBAAuB4B,EAAE,MAAM5B,EAAE,cAAc4B,EAAE,KAAK,CAAC,EAAE,CAAC,EAAE2B,EAAEC,EAAEC,CAAC,EAAE7B,EAAE,MAAMsC,EAAErC,EAAE,KAAK,IAAID,EAAE,MAAM,EAAE,OAAO,QAAQwC,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAED,EAAEE,EAAE,QAAQa,EAAE,EAAEA,EAAEf,EAAEe,IAAI,CAAC,IAAIkB,EAAElB,GAAGd,EAAEC,GAAG,QAAQgC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIqD,EAAErD,EAAEhC,EAAE,QAAQ6C,EAAE,EAAEA,EAAE7C,EAAE6C,IAAI,CAAC,IAAIL,EAAE,KAAK,MAAMzC,EAAEiC,EAAE,CAAC,EAAES,EAAE7B,EAAEmB,EAAEsD,EAAExC,EAAEH,EAAEjC,EAAEgC,CAAC,EAAE,GAAGD,GAAG,GAAGA,EAAEzC,EAAE,CAAC,IAAI4C,EAAEH,EAAExC,EAAE4C,EAAEhC,EAAEmB,EAAEY,EAAEE,EAAEH,EAAEjC,EAAEmC,CAAC,CAAC,CAAC,EAAEH,CAAC,EAAEC,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOtE,EAAE,MAAM,EAAED,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMgkE,GAAG5N,GAAG,CAACx2D,EAAE,IAAI,KAAK,MAAMA,EAAE,CAAC,CAAC,EAAEqkE,GAAGnN,GAAG3yE,GAAG6/E,GAAG,KAAK,OAAO,EAAEE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAGvkE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEi8D,GAAG,CAAC,OAAO,CAAC,EAAE5/D,EAAE,OAAO,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,QAAQ8B,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAE,GAAGtB,IAAI,QAAQ,EAAE,MAAM,SAAS,GAAG,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,IAAI4E,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8D,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAEsD,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,8BAA8BoH,CAAC,CAAC,MAAMtD,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAE,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG2C,EAAE,CAAC,IAAI,EAAEmB,EAAE,GAAGtB,IAAI,QAAQG,IAAI,SAASd,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,IAAIuF,EAAEg1D,GAAG,CAAC,OAAO,CAAC,EAAEv6D,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM,CAAC6B,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEiC,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEyE,EAAExE,CAAC,EAAE5C,EAAE,8BAA8BoH,CAAC,CAAC,MAAMtD,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEd,EAAEe,CAAC,EAAE5C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAO8D,CAAC,CAAC,IAAIwgE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW6/E,EAAE,EAAE,SAASE,GAAGzkE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAE29D,GAAG,CAAC,OAAO,CAAC,EAAEthE,EAAE,OAAO,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,QAAQ8B,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEoB,EAAEA,EAAEqzD,GAAG,CAAC,OAAO,CAAC,EAAErzD,EAAE,EAAE,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAEA,EAAE,8BAA8B,CAAC,CAAC,CAAC,GAAG2C,EAAE,CAAC,IAAI,EAAEmB,EAAEA,EAAEq4D,GAAGn8D,EAAE8D,EAAEnB,EAAEd,EAAEe,CAAC,EAAE5C,EAAE,8BAA8B,CAAC,CAAC,CAAC,OAAO8D,CAAC,CAAC,IAAI0gE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG3kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEC,EAAE,MAAM0B,EAAE,EAAE,EAAE,OAAO,CAAC,EAAE,CAACC,EAAEC,EAAES,EAAEC,CAAC,EAAE3U,EAAE,mBAAmBoS,EAAEC,CAAC,EAAE,GAAG4B,IAAI,EAAE,OAAO/B,EAAE,eAAe8B,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIwC,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAE3C,EAAE,WAAWE,CAAC,EAAE0C,EAAEkxD,GAAGpxD,EAAEC,EAAEzC,EAAE,MAAM6B,EAAEF,EAAEW,EAAEC,EAAEvC,EAAE,MAAM,CAAC,EAAE,OAAOF,EAAE,eAAe8B,EAAE5B,EAAE,MAAM0C,EAAE,MAAM,CAAC,CAAC,IAAI8hE,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG7kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,UAAU,EAAE,IAAI2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAErC,EAAE,MAAM2B,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAEzC,EAAE,OAAO,EAAEyC,EAAE,CAAC,IAAIC,EAAE1C,EAAEyC,CAAC,EAAElG,EAAE,OAAOmG,GAAGjC,EAAE,GAAGiC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBjC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAEZ,EAAEA,GAAG,OAAOY,EAAE,GAAG,IAAIC,EAAEpE,EAAE,cAAc,EAAE,KAAK,EAAEqE,EAAE7U,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAEW,CAAC,EAAEG,EAAEw5D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC2C,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEmB,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAM,CAAC2C,EAAE,UAAUD,EAAEC,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,EAAE,CAACA,EAAE,UAAUA,EAAE,UAAUD,EAAEC,EAAE,UAAUA,EAAE,SAAS,EAAEyE,EAAEpH,EAAE,WAAW8D,CAAC,EAAE,EAAE9D,EAAE,WAAW4C,CAAC,EAAE2B,EAAEwvD,GAAG,EAAE3sD,EAAE,CAAC,EAAE,OAAOpH,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,eAAe2C,EAAE,YAAY4B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIqgE,GAAG,CAAC,WAAWhgF,GAAG,YAAY,MAAM,WAAW+/E,EAAE,EAAE,SAASE,GAAG/kE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAE7B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEC,EAAE,EAAE0B,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEl8D,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAEyhE,GAAG1hE,EAAE,GAAG7B,CAAC,EAAE+B,EAAEq6D,GAAG,CAAC,OAAO,CAAC,EAAEt6D,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAME,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOF,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI+iE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAME,GAAGzN,GAAGjyE,GAAGya,GAAG,OAAO,SAASA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEklE,GAAG,CAAC,WAAW3/E,GAAG,YAAY,MAAM,WAAW0/E,EAAE,EAAME,GAAG3N,GAAGhyE,GAAGwa,GAAG,KAAK,IAAIA,CAAC,IAAI,EAAE,EAAE,EAAE,EAAE,MAAM,EAAEolE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAME,GAAG7N,GAAG/xE,GAAGua,GAAG,OAAO,MAAMA,CAAC,EAAE,EAAE,EAAE,MAAM,EAAEslE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASE,GAAGvlE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEH,EAAE,EAAEo0D,GAAGl0D,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWt/E,GAAG,YAAY,MAAM,WAAWq/E,EAAE,EAAME,GAAGjO,GAAGpxE,GAAG4Z,GAAG,KAAK,MAAMA,CAAC,CAAC,EAAE0lE,GAAG,CAAC,WAAWt/E,GAAG,YAAY,MAAM,WAAWq/E,EAAE,EAAME,GAAGnP,GAAG,CAACx2D,EAAE,IAAIA,GAAG,CAAC,EAAE4lE,GAAG1O,GAAG5wE,GAAGq/E,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAWv/E,GAAG,YAAY,MAAM,WAAWs/E,EAAE,EAAME,GAAGtO,GAAGjxE,GAAGyZ,GAAGA,EAAE,EAAE,EAAE,MAAM,EAAE+lE,GAAG,CAAC,WAAWx/E,GAAG,YAAY,MAAM,WAAWu/E,EAAE,EAAME,GAAGxP,GAAG,CAACx2D,EAAE,IAAIA,GAAG,CAAC,EAAEimE,GAAG/O,GAAG1wE,GAAGw/E,GAAG,KAAK,MAAM,EAAEE,GAAG,CAAC,WAAW1/E,GAAG,YAAY,MAAM,WAAWy/E,EAAE,EAAE,SAASE,GAAGnmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI4B,EAAE5B,EAAE,MAAM,CAAC,EAAEqC,EAAET,EAAE,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAEpE,EAAE,cAAc6B,EAAE,KAAK,EAAEwC,EAAE,IAAI,aAAaD,CAAC,EAAE,SAASE,EAAEkB,EAAE,CAAC,IAAI,EAAEA,EAAE/B,EAAEqF,EAAEtD,EAAE,EAAE,KAAK,IAAI,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,EAAE,KAAK,IAAI,EAAE,EAAEtB,CAAC,EAAE+B,EAAE,EAAE,KAAK6C,GAAG,EAAEA,IAAI,CAAC,IAAI5C,EAAE/B,EAAE2E,CAAC,EAAE7C,GAAGC,EAAEA,CAAC,CAAC,OAAOD,CAAC,CAAC,QAAQT,EAAE,EAAEA,EAAEpB,EAAEoB,IAAI,CAAC,IAAI,EAAElB,EAAEkB,CAAC,EAAEsD,EAAE3E,EAAEqB,CAAC,EAAE,KAAK,IAAI,EAAEjC,EAAE,EAAE,CAACC,CAAC,EAAEa,EAAEmB,CAAC,EAAEsD,CAAC,CAAC,OAAOpH,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAMwC,CAAC,CAAC,CAAC,IAAIujE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAE,SAASE,GAAGrmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAE8yD,GAAG,EAAE,SAAS,EAAE,IAAIvwD,EAAEnE,EAAE,cAAc,EAAE,KAAK,EAAEoE,EAAE,EAAE,MAAM,CAAC,EAAEC,EAAE3C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO4C,EAAE5C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2D,EAAE9D,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAayC,CAAC,EAAE2E,EAAE3E,EAAE,QAAQ,EAAE,EAAE,EAAE2E,EAAE,IAAI,CAAC,IAAI7C,EAAE,EAAE7B,EAAE8B,EAAE,EAAED,EAAE,KAAK,IAAI,EAAEA,EAAE1C,CAAC,EAAE4C,EAAE,EAAEF,EAAE,KAAK,IAAI7B,EAAE6B,EAAE1C,EAAE,CAAC,EAAE6C,EAAE,EAAE,QAAQC,EAAEH,EAAEG,EAAEF,EAAEE,IAAID,GAAG,KAAK,IAAI9B,EAAE+B,CAAC,EAAE,CAAC,EAAED,EAAE3C,EAAE2C,EAAE5C,EAAE,QAAQ6C,EAAEH,EAAEG,EAAEF,EAAEE,IAAI,CAAC,IAAIE,EAAE,GAAG9C,EAAES,EAAEI,EAAE+B,CAAC,EAAEb,EAAE,CAAC,EAAEY,EAAE,IAAIC,IAAIE,GAAG,KAAK,IAAIH,EAAE,CAAClC,CAAC,GAAGqC,GAAGlC,EAAE,CAAC,EAAE,EAAEgC,CAAC,GAAGE,CAAC,CAAC,CAAC,OAAO7E,EAAE,eAAe,EAAE,MAAMG,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIimE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAGvmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE7B,EAAE8B,EAAE3B,EAAE,MAAM4B,EAAED,EAAE,OAAOU,EAAElE,EAAE,eAAe,EAAEwD,CAAC,EAAEW,EAAED,EAAEE,EAAE5U,EAAE,mBAAmB2U,EAAEV,CAAC,EAAEY,EAAEd,EAAE,KAAK,IAAI1B,EAAE,MAAM,EAAE,OAAO,GAAGuC,GAAG,KAAK,CAAC,IAAI8B,EAAE,IAAI,MAAMzC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAID,EAAEC,CAAC,EAAE3C,EAAEY,EAAE+B,CAAC,CAAC,EAAE9B,EAAEuzD,GAAGvzD,EAAEb,EAAE3B,EAAE,MAAMuC,EAAE8B,CAAC,EAAE/B,EAAE3U,EAAE,iBAAiB2U,EAAE,OAAOV,CAAC,EAAED,EAAE0C,CAAC,CAACwuD,GAAG7yD,EAAE,KAAK,EAAErS,EAAE,2BAA2B,MAAM2U,EAAEV,CAAC,EAAE,GAAG,CAACa,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0BgU,EAAEW,CAAC,EAAE,EAAEnE,EAAE,cAAcwF,CAAC,EAAEsD,EAAEktD,GAAG3xD,EAAE,EAAEC,EAAEzC,EAAE,KAAK,EAAE,EAAE0B,EAAE,MAAMuF,EAAExE,EAAEzC,EAAE,KAAK,EAAEoE,EAAE3B,EAAE,OAAO,IAAI2B,EAAEzW,EAAE,qBAAqB8U,EAAEJ,CAAC,GAAG,CAAC,OAAO,EAAE,MAAM+B,EAAE,MAAMpE,EAAE,KAAK,CAAC,CAAC,IAAImmE,GAAG,CAAC,WAAW5/E,GAAG,YAAY,MAAM,WAAW2/E,EAAE,EAAE,SAASE,GAAGzmE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE6yD,GAAG7yD,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAEW,EAAE,GAAGD,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAEC,EAAEi0D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,MAAM,CAAC,IAAI0C,EAAE1C,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEu7D,GAAGz7D,EAAEvC,EAAE,MAAMA,EAAE,MAAMwC,EAAEH,EAAE,KAAK,EAAEC,EAAEzC,EAAE,eAAewC,EAAE,SAASrC,EAAE,MAAMyC,EAAE,MAAM,CAAC,CAAC,OAAOH,CAAC,CAAC,IAAI+jE,GAAG,CAAC,WAAW7/E,GAAG,YAAY,MAAM,WAAW4/E,EAAE,EAAE,SAASE,GAAG3mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAE27D,GAAG57D,EAAEtC,EAAE,MAAMA,EAAE,MAAM7B,EAAE,eAAe6B,EAAE,KAAK,EAAEqC,EAAE,KAAK,EAAE,OAAOxC,EAAE,eAAe0C,EAAE,MAAM,UAAUA,EAAE,MAAM,CAAC,CAAC,IAAIgkE,GAAG,CAAC,WAAW9/E,GAAG,YAAY,MAAM,WAAW6/E,EAAE,EAAE,SAASE,GAAG7mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAE8yD,GAAG,CAAC7yD,EAAE,CAAC,EAAE,eAAe,EAAE,IAAIqC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM,EAAE+T,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAEzC,EAAE,WAAW,CAAC,EAAE0C,EAAE47D,GAAG77D,EAAED,CAAC,EAAEG,EAAEH,EAAE,YAAYI,EAAEJ,EAAE,aAAasB,EAAEtB,EAAE,YAAY,EAAEA,EAAE,cAAc4E,EAAE5E,EAAE,eAAe,EAAEA,EAAE,cAAc+B,EAAE/B,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAEH,EAAE,EAAE/B,EAAE,QAAQ,MAAMmC,EAAEF,EAAE,EAAEjC,EAAE,QAAQ,KAAKqC,EAAEL,EAAE,EAAEhC,EAAE,QAAQ,IAAI6E,EAAE1Y,GAAG,EAAE,MAAM,SAAS,EAAEmW,EAAE9E,EAAE,WAAWG,CAAC,EAAE,QAAQ4E,EAAE,EAAEA,EAAEvC,EAAE,UAAU,EAAEuC,EAAE,QAAQC,EAAE,EAAEA,EAAExC,EAAE,WAAW,EAAEwC,EAAE,QAAQC,EAAE,EAAEA,EAAEzC,EAAE,QAAQ,EAAEyC,EAAE,QAAQC,EAAE,EAAEA,EAAE1C,EAAE,SAAS,EAAE0C,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE,QAAQ,EAAE2C,EAAE,CAAC,IAAI2C,EAAE7C,EAAEP,EAAE6C,EAAErC,EAAEL,EAAEkD,EAAE5C,EAAER,EAAEqD,EAAG,EAAE,QAAQC,EAAG,EAAEA,EAAG1D,EAAE0D,GAAI,EAAE,CAAC,IAAIC,IAAIJ,EAAEG,GAAItF,EAAE,GAAG,EAAEuF,GAAG,GAAGA,IAAI1F,EAAE,UAAU,KAAK,MAAM0F,EAAE,IAAIA,IAAI,QAAQC,GAAG,EAAEA,GAAG3D,EAAE2D,IAAIf,EAAE,CAAC,IAAIgB,IAAIb,EAAEY,IAAIvF,EAAE,GAAG,EAAEwF,GAAG,GAAGA,IAAI5F,EAAE,WAAW,KAAK,MAAM4F,EAAE,IAAIA,IAAI,QAAQ5B,GAAG,EAAEA,GAAG/B,EAAE+B,IAAI,EAAE,CAAC,IAAI8B,IAAIP,EAAEvB,IAAI1C,EAAE,GAAGwE,GAAG,GAAGA,IAAI9F,EAAE,UAAU,KAAK,MAAM8F,EAAE,IAAIA,GAAG,SAAS,IAAIC,GAAGhE,EAAEC,EAAEC,EAAE,EAAE/B,EAAE,IAAIqC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEwD,GAAGP,EAAGzD,EAAEC,EAAE0D,GAAG1D,EAAE+B,GAAGiC,GAAGF,KAAKC,GAAG,EAAE,EAAE,GAAGC,KAAK,EAAE,SAAS,IAAIC,GAAG5D,EAAE,IAAIC,EAAEmD,GAAGE,GAAGE,GAAGtD,CAAC,EAAEgD,GAAIU,GAAGD,EAAE,CAAC,CAAC,CAACpB,EAAE,IAAIW,EAAGjD,EAAEE,EAAEC,EAAEC,EAAEH,CAAC,CAAC,CAAC,OAAOhF,EAAE,eAAeqH,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIu/D,GAAG,CAAC,WAAW//E,GAAG,YAAY,MAAM,WAAW8/E,EAAE,EAAE,SAASE,GAAG/mE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEmxD,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWlxD,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE5U,EAAE,kBAAkB+T,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE3C,EAAE,KAAK,IAAI6B,EAAE,MAAM,EAAE,OAAOe,EAAEjU,GAAG+T,EAAE,SAASb,EAAE,MAAMu8D,GAAGz7D,EAAEd,EAAE,MAAMA,EAAE,MAAMa,CAAC,EAAE,MAAM,EAAEoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY0E,EAAE1E,EAAE,eAAe,EAAEA,EAAE,cAAc6B,EAAE7B,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB+B,EAAED,EAAE,EAAE9B,EAAE,QAAQ,KAAKgC,EAAEH,EAAE,EAAE7B,EAAE,QAAQ,IAAIiC,EAAEhW,GAAGkT,EAAE,MAAM,SAAS,EAAEgD,EAAE7E,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOkH,EAAE1Y,GAAGwR,EAAE,MAAM,UAAU0E,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEpC,EAAE,UAAU,EAAEoC,EAAE,QAAQC,EAAE,EAAEA,EAAErC,EAAE,WAAW,EAAEqC,EAAE,QAAQC,EAAE,EAAEA,EAAEtC,EAAE,SAAS,EAAEsC,EAAE,QAAQC,EAAE,EAAEA,EAAEvC,EAAE,QAAQ,EAAEuC,EAAE,CAAC,IAAIC,EAAEF,EAAEN,EAAES,EAAEF,EAAER,EAAEqD,EAAE,EAAE,QAAQP,EAAE,EAAEA,EAAEhD,EAAEgD,GAAGH,EAAE,CAAC,IAAIW,GAAG7C,EAAEqC,GAAGzD,EAAE,GAAG,EAAEiE,EAAE,GAAGA,GAAGrF,EAAE,WAAW,KAAK,MAAMqF,CAAC,IAAIA,GAAG,QAAQC,EAAG,EAAEA,EAAGxD,EAAEwD,GAAI,EAAE,CAAC,IAAIC,GAAI9C,EAAE6C,GAAI,EAAE,GAAGC,EAAG,GAAGA,GAAIvF,EAAE,UAAU,KAAK,MAAMuF,CAAE,IAAIA,EAAG,SAAS,IAAIC,GAAG3D,EAAEC,EAAE,EAAE5B,EAAE,IAAIkC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAEoD,GAAGZ,EAAE/C,EAAEwD,EAAGI,GAAGF,KAAKC,GAAG,EAAE,EAAE,GAAGC,KAAK,EAAE,SAAS,IAAI5B,GAAGa,EAAE,IAAIvC,EAAEiD,EAAEE,EAAGlD,CAAC,EAAE+C,GAAGtB,GAAG4B,EAAE,CAAC,CAACzD,EAAE,IAAImD,EAAEhD,EAAEE,EAAEC,EAAEF,CAAC,CAAC,CAAC,OAAO/E,EAAE,eAAe2E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAImiE,GAAG,CAAC,WAAWhgF,GAAG,YAAY,MAAM,WAAW+/E,EAAE,EAAE,SAASE,GAAGjnE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE7B,EAAE,eAAe,CAAC,EAAE,EAAE6/D,GAAGr+D,EAAE,EAAEE,EAAE,EAAEG,EAAE,KAAK,EAAE0B,EAAEu8D,GAAGt+D,EAAE,EAAEE,EAAEG,EAAE,GAAGD,CAAC,EAAE,MAAM,CAAC,EAAE,OAAO2B,EAAE,MAAM,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWjgF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO+Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,WAAWK,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAE9B,EAAEgzD,GAAG9yD,EAAE,mBAAmB,EAAE,IAAI6B,EAAED,EAAE,KAAK,IAAI5B,EAAE,MAAM,EAAE,OAAOsC,EAAE1U,EAAE,kBAAkBoS,EAAE,MAAMC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAACsC,EAAEC,CAAC,EAAEqkE,GAAGhlE,EAAE7B,EAAE,MAAMA,EAAE,MAAM2B,EAAEW,CAAC,EAAEG,EAAEb,EAAE,MAAMW,EAAED,EAAE,SAAStC,EAAE,KAAK,EAAE0C,EAAEd,EAAE,MAAMY,EAAEF,EAAE,SAAStC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAC,OAAOyC,EAAE,MAAMH,EAAE,SAAS,MAAMtC,EAAE,KAAK,EAAE,CAAC,OAAO0C,EAAE,MAAMJ,EAAE,SAAS,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE,SAASykE,GAAGnnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,EAAErS,EAAE,0BAA0BqS,EAAE,MAAM0B,CAAC,EAAE,CAAC,EAAEW,EAAElE,EAAE,cAAc,CAAC,EAAE,EAAE,CAAC,EAAEoE,EAAE1C,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAACwC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAEm0D,GAAG,CAAC,OAAO,CAAC,EAAE32D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,KAAK2C,CAAC,EAAE,IAAIC,EAAEygE,GAAG,CAAC,OAAO,CAAC,EAAE1gE,EAAE,EAAED,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAE,KAAK4C,CAAC,EAAE,IAAIkB,EAAEs+D,GAAG,CAAC,OAAO,CAAC,EAAEx/D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+D,GAAG/D,EAAE,8BAA8B+D,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIojE,GAAG,CAAC,WAAWjgF,GAAG,YAAY,MAAM,WAAWggF,EAAE,EAAE,SAASE,GAAGrnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE2B,EAAED,EAAEE,EAAEjU,EAAE,mBAAmBgU,EAAE3B,EAAE,MAAM,MAAM,EAAEqC,EAAErC,EAAE4B,GAAG,OAAOS,EAAE+2D,GAAG,CAAC,OAAO,CAAC,EAAEp5D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAED,EAAEhU,EAAE,iBAAiBgU,EAAE,OAAO3B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMgU,EAAEU,EAAE,MAAM,MAAM,EAAE,GAAG,CAACC,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMV,CAAC,EAAEa,EAAErE,EAAE,cAAcoE,CAAC,EAAEE,EAAEtE,EAAE,oBAAoBA,EAAE,cAAcmE,CAAC,EAAED,EAAE,KAAK,EAAEsB,EAAE9D,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAO,QAAQ4E,EAAE,EAAEA,EAAExE,EAAE,OAAO,EAAEwE,EAAE,CAAC,IAAI,EAAEA,EAAEzE,EAAE4B,EAAET,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEX,EAAE,EAAEU,CAAC,GAAG,OAAO,MAAMC,CAAC,GAAGA,EAAEF,KAAKA,EAAEE,EAAE,CAAC7B,EAAEwE,CAAC,EAAE7C,CAAC,CAACxC,GAAG,MAAM/B,EAAE,8BAA8BwC,CAAC,EAAE,IAAI,EAAExC,EAAE,eAAeyC,EAAED,EAAE,MAAMI,CAAC,EAAE,GAAG,EAAE,CAAC,IAAIwE,EAAEtZ,EAAE,qBAAqB2U,EAAEZ,CAAC,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQp8D,EAAE,MAAM,CAAC,MAAMoH,CAAC,CAAC,CAAC,EAAE,OAAOpH,EAAE,8BAA8B,CAAC,EAAE,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIonE,GAAG,CAAC,WAAWlgF,GAAG,YAAY,MAAM,WAAWigF,EAAE,EAAE,SAASE,GAAGvnE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,WAAW,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC0C,EAAEC,IAAID,EAAE,CAAC,EAAEpE,EAAE,MAAMqE,CAAC,EAAED,EAAE,CAAC,CAAC,EAAEzC,EAAE,EAAE,IAAIyC,GAAGA,EAAE,CAAC,CAAC,EAAExC,EAAE,EAAE,IAAI,CAACwC,EAAEC,IAAID,EAAE,CAAC,EAAEpE,EAAE,MAAMqE,CAAC,CAAC,EAAEhC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOuC,EAAEvC,EAAE,MAAM,OAAOwC,EAAErE,EAAE,eAAe6B,EAAE,KAAK,EAAEyC,EAAEtE,EAAE,cAAcuD,CAAC,EAAEiC,EAAEjC,EAAE,OAAO,EAAEvD,EAAE,eAAeuD,CAAC,EAAEuF,EAAE9I,EAAE,uBAAuB6B,EAAE,MAAMyC,CAAC,EAAE,QAAQ2B,EAAE,EAAEA,EAAE3B,EAAE2B,IAAI,CAAC,IAAIC,EAAElG,EAAE,WAAWiG,EAAET,EAAE,CAAC,EAAE,QAAQY,EAAE,EAAEA,EAAEZ,EAAEY,IAAIF,EAAEE,CAAC,EAAE5C,EAAE4C,CAAC,EAAEF,EAAEE,CAAC,EAAE5C,EAAE4C,CAAC,EAAE,EAAEF,EAAEE,CAAC,EAAElC,EAAEgC,EAAEE,CAAC,GAAG3C,EAAE2C,CAAC,IAAIF,EAAEE,CAAC,GAAG3C,EAAE2C,CAAC,EAAE,GAAG,EAAEF,EAAEE,CAAC,EAAElC,GAAGgC,EAAEA,EAAE,IAAI,CAACE,EAAEC,IAAID,EAAE5C,EAAE6C,CAAC,CAAC,EAAE,IAAIF,EAAEnG,EAAE,WAAWkG,EAAE9B,EAAEC,CAAC,EAAEyE,EAAE7C,CAAC,EAAE9B,EAAEgC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOzE,EAAE,MAAMoH,EAAEvF,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAImnE,GAAG,CAAC,WAAWlgF,GAAG,YAAY,MAAM,WAAWigF,EAAE,EAAME,GAAGjR,GAAG,CAACx2D,EAAE,IAAI,CAAC,IAAIE,EAAEF,EAAE,EAAE,OAAOA,EAAE,GAAG,EAAE,GAAGA,GAAG,GAAG,GAAG,EAAEE,GAAGA,EAAE,GAAG,CAAC,CAAC,EAAEwnE,GAAGxQ,GAAG3vE,GAAGkgF,EAAE,EAAEE,GAAG,CAAC,WAAWpgF,GAAG,YAAY,MAAM,WAAWmgF,EAAE,EAAME,GAAGtnE,GAAGgF,GAAG,CAAC,EAAE,SAASuiE,GAAG7nE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAE,EAAE,GAAGA,IAAI,KAAKA,EAAE,EAAE,GAAGA,IAAI,EAAE,EAAE,MAAM,MAAM,4EAA4E,iBAAiBA,GAAG,EAAE,IAAIC,EAAExD,EAAE,eAAe,CAACuD,CAAC,EAAE1B,EAAE,KAAK,EAAE4B,EAAEskE,GAAG,CAAC,OAAO,CAAC,EAAElmE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,iBAAiB8B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEU,EAAE1U,EAAE,qBAAqBiU,EAAE,MAAMD,CAAC,EAAEW,EAAE25D,GAAG,CAAC,OAAO,CAAC,EAAEr6D,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEE,EAAE04D,GAAG,CAAC,OAAO,CAAC,EAAEj7D,EAAE,EAAEsC,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE2C,EAAEi1D,GAAG,CAAC,OAAO,CAAC,EAAEl1D,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAEw/D,GAAG,CAAC,OAAO,CAAC,EAAEz/D,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK8B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAEgC,EAAEs4D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAE6gE,GAAG,CAAC,OAAO,CAAC,EAAE1gE,EAAE,EAAEmB,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAI8jE,GAAG,CAAC,WAAWl9E,GAAG,YAAY,MAAM,WAAWi9E,EAAE,EAAE,SAASE,GAAG/nE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,aAAa,EAAE,IAAI2B,EAAED,EAAE1B,EAAEwnE,GAAG,CAAC,OAAO,CAAC,OAAOxnE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE+B,EAAED,EAAE,MAAM,CAAC,EAAEU,EAAEV,EAAE,MAAM,CAAC,EAAEW,EAAEzC,EAAE,KAAK,IAAI8B,EAAE,MAAM,EAAE,OAAOY,EAAE,CAACX,EAAE,CAAC,EAAEY,EAAErE,EAAE,oBAAoBA,EAAE,cAAcoE,CAAC,EAAE,OAAO,EAAE,QAAQE,EAAE,EAAEA,EAAEb,EAAE,EAAEa,EAAE,CAAC,IAAIkB,EAAElB,EAAEJ,EAAE,EAAE,IAAI,aAAaA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAEqB,CAAC,EAAE,QAAQS,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,EAAEA,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE9B,EAAEqB,EAAES,CAAC,EAAE,IAAI6C,EAAEsgE,GAAG,KAAK,EAAE,SAAS,CAAC,EAAE,EAAE9kE,EAAE,EAAE,QAAQ2B,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIC,EAAE4C,EAAE,EAAEzE,EAAE,EAAE4B,CAAC,EAAE,EAAE,OAAO,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,GAAGD,EAAE,EAAEC,CAAC,EAAE,CAAC9B,EAAE,EAAE4B,CAAC,EAAEE,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO5C,GAAG7B,EAAE,8BAA8B8B,CAAC,EAAE9B,EAAE,eAAe0C,EAAE,QAAQC,CAAC,CAAC,CAAC,IAAImlE,GAAG,CAAC,WAAWvgF,GAAG,YAAY,MAAM,WAAWsgF,EAAE,EAAME,GAAG5zE,GAAG,wBAAwB,SAAS6zE,GAAGloE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,mBAAmB,EAAE,IAAI4B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgByC,CAAC,EAAEslE,GAAGhmE,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAIwlE,GAAG,CAAC,WAAWvgF,GAAG,YAAY,MAAM,WAAWsgF,EAAE,EAAME,GAAG/zE,GAAG,wBAAwB,SAASg0E,GAAGroE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,yBAAyB,EAAE,IAAIqC,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,gBAAgB0C,EAAE,aAAaC,CAAC,EAAEulE,GAAG1lE,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE1C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC2C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIylE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAME,GAAGl0E,GAAG,wBAAwB,SAASm0E,GAAGxoE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAE8yD,GAAG7yD,EAAE,4BAA4B,EAAE,IAAIqC,EAAExC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOsC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeqF,CAAC,EAAEihE,GAAG7lE,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAC9D,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAImhE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAG1oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE8yD,GAAG7yD,EAAE,QAAQ,EAAE,IAAI4B,EAAEzD,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,EAAE,IAAI,aAAaT,EAAE,CAAC,EAAES,EAAE,KAAKV,CAAC,EAAE,IAAIW,EAAEzC,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,QAAQuC,EAAE,EAAEA,EAAEX,EAAE,EAAEW,EAAED,EAAEC,CAAC,GAAG,GAAGD,EAAEC,CAAC,EAAE,IAAIF,EAAEE,EAAE,EAAED,EAAEC,CAAC,CAAC,EAAEb,GAAG,OAAO7B,EAAE,eAAe,CAAC,GAAGG,EAAE,MAAM,CAAC,EAAE,EAAEqC,CAAC,CAAC,CAAC,IAAIimE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAG5oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,+CAA+C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEy2D,GAAG,CAAC,OAAO,CAAC,MAAM12D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE0oE,GAAG,CAAC,OAAO,CAAC,EAAEvoE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE2/D,GAAG,CAAC,OAAO,CAAC,MAAMz/D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAE6mE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1oE,CAAC,CAAC,EAAE8B,EAAEy0D,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK10D,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAOgiE,GAAG,CAAC,QAAQ9jE,EAAE,MAAM,CAAC,MAAME,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAIyoE,GAAG,CAAC,WAAWh8E,GAAG,YAAY,MAAM,WAAW+7E,EAAE,EAAE,SAASE,GAAG9oE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEy2D,GAAG,CAAC,OAAO,CAAC,MAAM12D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE4oE,GAAG,CAAC,OAAO,CAAC,EAAEzoE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE2/D,GAAG,CAAC,OAAO,CAAC,MAAMz/D,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAE6mE,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1oE,CAAC,CAAC,EAAE8B,EAAEy0D,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK10D,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAOgiE,GAAG,CAAC,QAAQ9jE,EAAE,MAAM,CAAC,MAAME,EAAE,MAAM,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI2oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAGhpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOgjE,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,QAAQljE,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAEygE,GAAG,CAAC,OAAO,CAAC,MAAM1gE,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE89D,GAAG,CAAC,OAAO/9D,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,8BAA8BwC,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIgnE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGlpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,KAAK,EAAE,IAAI0B,EAAE,EAAE,IAAI,CAAC+C,EAAEL,IAAIK,EAAE,CAAC,EAAEzE,EAAE,MAAMoE,CAAC,EAAEK,EAAE,CAAC,CAAC,EAAE9C,EAAE,EAAE,IAAI8C,GAAGA,EAAE,CAAC,CAAC,EAAE7C,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAElE,EAAE,cAAc6B,EAAE,KAAK,EAAEsC,EAAEtC,EAAE,MAAM,OAAOuC,EAAEpE,EAAE,eAAe6B,EAAE,KAAK,EAAEwC,EAAErE,EAAE,cAAcuD,CAAC,EAAEe,EAAEf,EAAE,OAAOiC,EAAExF,EAAE,eAAeuD,CAAC,EAAE,EAAEvD,EAAE,uBAAuB6B,EAAE,MAAMwC,CAAC,EAAE,IAAI,GAAG,EAAE,KAAK,CAAC,EAAE,QAAQiC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIJ,EAAElG,EAAE,WAAWsG,EAAEnC,EAAEC,CAAC,EAAE,IAAI,CAACgC,EAAEC,IAAID,EAAE5C,EAAE6C,CAAC,CAAC,EAAEF,EAAEnG,EAAE,WAAWkG,EAAE5B,EAAEkB,CAAC,EAAE,EAAEW,CAAC,EAAE1C,EAAE6C,CAAC,CAAC,CAAC,MAAM,CAAC,OAAO5E,EAAE,MAAM,EAAE6B,EAAE1B,EAAE,KAAK,EAAE,MAAM0B,EAAE,MAAM1B,EAAE,KAAK,CAAC,CAAC,IAAI8oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAME,GAAG5S,GAAG,CAACx2D,EAAE,IAAI,KAAK,IAAIA,EAAE,CAAC,CAAC,EAAEqpE,GAAGnS,GAAG1uE,GAAG4gF,EAAE,EAAEE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAE,SAASE,GAAGvpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,mBAAmBK,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIiH,GAAGpH,EAAE,KAAK,IAAIoH,EAAE,MAAM,EAAE,MAAM,EAAErF,EAAE5B,EAAE,IAAIiH,GAAGA,EAAE,KAAK,EAAE5E,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC0C,EAAEC,EAAEC,CAAC,EAAEiyD,GAAG/yD,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAI0E,GAAGpH,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAEpH,EAAE,eAAe4C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwlE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAGzpE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEsyD,GAAG,EAAE50D,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAEzC,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE1C,EAAE,eAAe,CAACwC,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAI8mE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAG3pE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAOqC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOyC,EAAEzC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO0C,EAAEb,EAAE,IAAI,GAAG7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE2C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAEixD,GAAGhzD,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAO9B,EAAE,eAAe4C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAI4lE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAG7pE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,MAAM,EAAE,KAAK,CAAC,EAAEH,EAAE6B,EAAEmzD,GAAG90D,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,CAAC,IAAI+nE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAME,GAAGvS,GAAGpuE,GAAG4W,GAAG,EAAEA,CAAC,EAAEgqE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGjqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,gBAAgB,EAAE,IAAI2B,EAAExD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAE9D,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAa7B,EAAE,cAAc,CAACmE,EAAEV,EAAES,EAAEI,CAAC,CAAC,CAAC,EAAEwE,EAAE,CAAC,GAAGrF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGZ,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE,EAAEC,EAAE4C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE3C,EAAE2C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQ1C,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,QAAQC,EAAE,EAAEA,EAAE5C,EAAE4C,IAAI,CAAC,IAAIE,EAAE,EAAEA,EAAEL,GAAGG,EAAE,IAAI,GAAGE,EAAEL,EAAEG,EAAE,IAAI0C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAMxC,CAAC,CAAC,EAAEC,EAAED,EAAEwC,EAAEtC,EAAE,KAAK,IAAIrC,EAAE,EAAE,KAAK,KAAKmC,CAAC,CAAC,EAAEG,EAAEN,EAAE5C,EAAE,CAAC,EAAEuF,EAAEvF,EAAE,CAAC,EAAEmD,EAAEP,EAAE5C,EAAE,CAAC,EAAEiD,EAAEjD,EAAE,CAAC,EAAE,QAAQoD,EAAE,EAAEA,EAAE1C,EAAE0C,IAAI,CAAC,IAAIC,EAAE,EAAEA,EAAEV,GAAGS,EAAE,IAAI,GAAGC,EAAEV,EAAES,EAAE,IAAI4C,EAAE,KAAK,IAAI,EAAE,KAAK,MAAM3C,CAAC,CAAC,EAAEoC,EAAEpC,EAAE2C,EAAEC,EAAE,KAAK,IAAIpF,EAAE,EAAE,KAAK,KAAKwC,CAAC,CAAC,EAAE6C,EAAGhD,EAAE8C,EAAEhG,EAAE,CAAC,EAAEmG,EAAGhD,EAAE6C,EAAEhG,EAAE,CAAC,EAAEoG,GAAGlD,EAAE+C,EAAEjG,EAAE,CAAC,EAAEqG,GAAGlD,EAAE8C,EAAEjG,EAAE,CAAC,EAAE,QAAQsG,GAAG,EAAEA,GAAGxF,EAAEwF,KAAK,CAAC,IAAI5B,GAAG1C,EAAEkE,EAAGI,EAAE,EAAEE,GAAGxE,EAAEmE,EAAGG,EAAE,EAAEG,GAAGzE,EAAEoE,GAAGE,EAAE,EAAEI,GAAG1E,EAAEqE,GAAGC,EAAE,EAAEK,GAAGjC,IAAI+B,GAAG/B,IAAIe,EAAEmB,GAAGJ,IAAIE,GAAGF,IAAIf,EAAEoB,GAAGF,IAAIC,GAAGD,IAAI3D,EAAE,EAAEP,GAAG,EAAEoE,EAAE,CAAC,CAAC,CAAC,OAAO3I,EAAE,eAAe,CAACyC,EAAEV,EAAES,EAAEI,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIonE,GAAG,CAAC,WAAWzgF,GAAG,YAAY,MAAM,WAAWwgF,EAAE,EAAE,SAASE,GAAGnqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE8yD,GAAG,CAAC,EAAE7yD,CAAC,EAAE,oBAAoB,EAAE,IAAI0B,EAAEvD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC2B,EAAEC,EAAES,EAAEC,CAAC,EAAEtC,EAAE,MAAM,CAAC,CAACuC,EAAEC,CAAC,EAAE,EAAE,MAAMC,EAAE,IAAI,aAAad,EAAEC,EAAES,EAAEC,CAAC,EAAEqB,EAAE,CAAC,GAAGpB,EAAE,EAAEX,EAAE,EAAEA,EAAE,GAAGY,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEyE,EAAEtD,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAES,EAAEvE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwE,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAE3C,EAAE2C,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,CAAC,EAAE,QAAQ8C,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIE,EAAEF,EAAEyC,EAAEC,EAAE,KAAK,MAAMxC,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAE9C,EAAE,CAAC,EAAEgD,EAAEL,EAAE2C,EAAExF,EAAE,CAAC,EAAEmD,EAAEN,EAAEI,EAAEjD,EAAE,CAAC,EAAEoD,EAAEJ,EAAEwC,EAAEnC,EAAE,EAAED,EAAE,QAAQE,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAI2C,EAAE3C,EAAE,EAAEoC,EAAE,KAAK,MAAMO,CAAC,EAAEC,EAAE,KAAK,IAAI,KAAK,KAAKD,CAAC,EAAEtF,EAAE,CAAC,EAAEwF,EAAGF,EAAEP,EAAEU,EAAG,EAAED,EAAGE,GAAGnD,EAAEwC,EAAE1F,EAAE,CAAC,EAAEsG,GAAGpD,EAAEgD,EAAElG,EAAE,CAAC,EAAEuG,GAAGpD,EAAEuC,EAAE1F,EAAE,CAAC,EAAE2E,GAAGxB,EAAE+C,EAAElG,EAAE,CAAC,EAAEyG,GAAGpD,EAAE+C,EAAGM,GAAGrD,EAAE8C,EAAGQ,GAAGvD,EAAEgD,EAAGQ,GAAGxD,EAAE+C,EAAG,QAAQU,GAAG,EAAEA,GAAGjG,EAAEiG,KAAK,CAAC,IAAIC,GAAGpE,EAAEC,GAAG,EAAE5B,EAAEsF,GAAGQ,EAAE,GAAGC,GAAGL,GAAG1F,EAAEuF,GAAGO,EAAE,GAAGC,GAAGJ,GAAG3F,EAAEwF,GAAGM,EAAE,GAAGC,GAAGH,GAAG5F,EAAE4D,GAAGkC,EAAE,GAAGC,GAAGF,EAAE,CAAC,CAAC,CAAC,CAAC,OAAOzI,EAAE,eAAe,CAAC8B,EAAEU,EAAET,EAAEU,CAAC,EAAE,UAAUG,CAAC,CAAC,CAAC,IAAIsnE,GAAG,CAAC,WAAW1gF,GAAG,YAAY,MAAM,WAAWygF,EAAE,EAAE,SAASE,GAAGrqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE8yD,GAAG7yD,EAAE,uBAAuB,EAAE,IAAI2B,EAAExD,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC4B,EAAES,CAAC,EAAEX,EAAE,CAACY,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM2D,EAAE9D,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAasC,EAAEV,EAAES,EAAEI,CAAC,EAAEwE,EAAE,CAAC,GAAGrF,EAAE,EAAEW,EAAE,EAAEA,EAAE,GAAGF,EAAE,EAAEG,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGZ,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGS,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE+B,EAAE6C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE5C,EAAE4C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE3C,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEjC,EAAEiC,IAAI,CAAC,IAAIC,EAAED,EAAE5C,EAAE,CAAC,EAAE,QAAQ+C,EAAE,EAAEA,EAAE9C,EAAE8C,IAAI,CAAC,IAAIwC,EAAE,EAAE9C,GAAGM,EAAE,IAAIN,EAAEM,EAAEC,EAAE,KAAK,IAAIpC,EAAE,EAAE,EAAE,KAAK,MAAM2E,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIvC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEhD,EAAE,CAAC,EAAE,QAAQkD,EAAE,EAAEA,EAAExC,EAAEwC,IAAI,CAAC,IAAIC,EAAE,EAAET,GAAGQ,EAAE,IAAIR,EAAEQ,EAAEE,EAAE,KAAK,IAAIvC,EAAE,EAAE,EAAE,KAAK,MAAMsC,CAAC,EAAE,KAAK,MAAMA,CAAC,CAAC,EAAE,IAAIC,EAAE,KAAK,IAAI,EAAEA,CAAC,GAAG,IAAIC,EAAEJ,EAAEG,EAAEpD,EAAE,CAAC,EAAE,QAAQgG,EAAE,EAAEA,EAAElF,EAAEkF,IAAI,CAAC,IAAIP,EAAEzD,EAAEqB,EAAE2C,CAAC,EAAE,EAAErD,GAAG,EAAE8C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOvH,EAAE,eAAe,CAACyC,EAAEV,EAAES,EAAEI,CAAC,EAAEzC,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIiqE,GAAG,CAAC,WAAW3gF,GAAG,YAAY,MAAM,WAAW0gF,EAAE,EAAE,SAASE,GAAGvqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE8yD,GAAG,CAAC,EAAE7yD,CAAC,EAAE,2BAA2B,EAAE,IAAI0B,EAAEvD,EAAE,eAAe6B,EAAE,KAAK,EAAE2B,EAAExD,EAAE,eAAe,EAAE,KAAK,EAAE,CAACyD,EAAES,EAAEC,EAAEC,CAAC,EAAEvC,EAAE,MAAM,CAAC,CAACwC,EAAEC,CAAC,EAAE,EAAE,MAAMkB,EAAE,IAAI,aAAa/B,EAAES,EAAEC,EAAEC,CAAC,EAAE,EAAE1C,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOoH,EAAE,CAAC,GAAGzE,EAAE,EAAEH,EAAE,EAAEA,EAAE,GAAGI,EAAE,EAAEH,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGE,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAE2B,EAAE6C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE5C,EAAE4C,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE3C,EAAE,EAAEF,EAAEG,EAAE,EAAEF,EAAEG,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEI,EAAE,KAAK,KAAKH,CAAC,EAAE,EAAE,EAAE,QAAQ2C,EAAE,EAAEA,EAAEtF,EAAEsF,IAAI,CAAC,IAAIvC,EAAEuC,EAAExF,EAAE,CAAC,EAAE,QAAQkD,EAAE,EAAEA,EAAEvC,EAAEuC,IAAI,CAAC,IAAIC,EAAEF,EAAEC,EAAElD,EAAE,CAAC,EAAEoD,EAAE,KAAK,MAAMF,EAAEN,CAAC,EAAES,EAAE,KAAK,MAAMD,EAAEN,EAAE,CAAC,EAAE,QAAQQ,EAAE,EAAEA,EAAE1C,EAAE0C,IAAI,CAAC,IAAI2C,EAAE9C,EAAEG,EAAEtD,EAAE,CAAC,EAAE0F,EAAE,KAAK,MAAMpC,EAAET,CAAC,EAAEqD,EAAE,KAAK,MAAMR,EAAE1C,EAAE,CAAC,EAAE,QAAQmD,EAAG,EAAEA,EAAGtF,EAAEsF,IAAK,CAAC,IAAIC,EAAG,EAAE,QAAQC,GAAG,EAAEA,GAAGvD,EAAEuD,KAAK,CAAC,IAAIC,GAAGD,GAAGhD,EAAE,GAAGiD,GAAG,GAAGA,IAAIxF,EAAE,SAAS,IAAIyF,GAAGtD,EAAEqD,GAAGrG,EAAE,CAAC,EAAE0E,GAAG2B,GAAG5D,EAAE+D,GAAG,KAAK,IAAI9F,EAAE,EAAE,EAAE,KAAK,MAAMgE,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAE,GAAGzB,IAAIuD,GAAG,QAAQC,GAAG,EAAEA,GAAG1D,EAAE0D,KAAK,CAAC,IAAIC,GAAGD,GAAGR,EAAE,GAAGS,GAAG,GAAGA,IAAI5F,EAAE,SAAS,IAAI6F,GAAGL,GAAGI,GAAG1G,EAAE,CAAC,EAAE4G,GAAGF,GAAGhE,EAAEmE,GAAG,KAAK,IAAIlG,EAAE,EAAE,EAAE,KAAK,MAAMiG,EAAE,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAEvD,IAAIwD,KAAKV,GAAI,EAAEQ,GAAGT,CAAE,EAAE,CAAC,CAAClE,EAAEgE,EAAEE,CAAE,EAAEC,CAAE,CAAC,CAAC,CAAC,CAAC,OAAOjI,EAAE,eAAeG,EAAE,MAAMA,EAAE,MAAM2D,CAAC,CAAC,CAAC,IAAIwmE,GAAG,CAAC,WAAW5gF,GAAG,YAAY,MAAM,WAAW2gF,EAAE,EAAE,SAASE,GAAGzqE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,SAAS,EAAE,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAOu2D,GAAG,CAAC,OAAO,CAAC,EAAEv2D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAE,IAAI7V,GAAGkU,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,WAAWG,CAAC,EAAE,QAAQqC,EAAE,EAAEA,EAAEV,EAAE,KAAKU,IAAI,CAAC,IAAIC,EAAEX,EAAE,WAAWU,CAAC,EAAEE,EAAED,EAAE,MAAM,EAAEZ,EAAE,QAAQc,GAAGD,EAAEC,CAAC,EAAExC,EAAE,MAAMwC,CAAC,EAAE,EAAED,EAAEC,CAAC,CAAC,EAAEb,EAAE,IAAIC,EAAE,IAAI,GAAGW,CAAC,EAAE,GAAGD,CAAC,CAAC,CAAC,OAAOzC,EAAE,eAAe8B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI0oE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAME,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAOkW,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE7B,EAAE8B,EAAExD,EAAE,uBAAuB4B,EAAE,MAAM5B,EAAE,cAAc4B,EAAE,KAAK,CAAC,EAAE,CAAC6B,EAAES,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEC,CAAC,EAAE9U,EAAE,eAAe,EAAE0U,EAAEC,CAAC,EAAEqB,EAAE,IAAI,EAAE,KAAK,IAAI3D,CAAC,EAAEiH,EAAE,KAAK,IAAIjH,CAAC,EAAE,EAAE0B,EAAE,KAAK,IAAI3B,EAAE,MAAM,EAAE,OAAO,QAAQsE,EAAE,EAAEA,EAAEzC,EAAEyC,IAAI,CAAC,IAAIC,EAAED,EAAE/B,EAAED,EAAEE,EAAE,QAAQgC,EAAE,EAAEA,EAAElC,EAAEkC,IAAI,CAAC,IAAIC,EAAED,GAAGjC,EAAEC,GAAG,QAAQmC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIwC,EAAExC,EAAEnC,EAAE,QAAQoC,EAAE,EAAEA,EAAEpC,EAAEoC,IAAI,CAAC,IAAIC,EAAE,CAAChD,EAAE2C,EAAEG,EAAEC,CAAC,EAAEE,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEG,GAAGF,EAAErC,GAAGyE,GAAGnC,EAAErC,GAAG,EAAEuC,GAAGH,EAAErC,GAAG,GAAGsC,EAAErC,GAAGwE,EAAElC,EAAE,KAAK,MAAMA,EAAEvC,CAAC,EAAEwC,EAAE,KAAK,MAAMA,EAAEvC,CAAC,EAAE,IAAIkF,EAAE,EAAE,GAAG,OAAO,GAAG,WAAWhD,IAAI,EAAEgD,EAAEhE,EAAEgE,EAAE,EAAEhD,CAAC,GAAGI,GAAG,GAAGA,EAAEzC,GAAG0C,GAAG,GAAGA,EAAE3C,EAAE,CAAC,IAAIuF,EAAE5C,GAAG1C,EAAEC,GAAGsF,EAAG9C,EAAExC,EAAEuF,EAAGxD,EAAEsD,EAAEC,EAAGlD,EAAEgD,EAAE,EAAEG,CAAE,CAAC,CAAC,IAAIV,EAAE9C,EAAEE,EAAE0C,EAAEvC,EAAEhD,EAAEyF,CAAC,EAAEO,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOjG,EAAE,MAAMC,EAAE5B,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMwqE,GAAGpT,GAAGztE,GAAGiW,GAAG,CAAC,IAAI,EAAE,KAAK,MAAMA,CAAC,EAAE,OAAOA,EAAE,EAAE,GAAG,KAAK,MAAMA,CAAC,EAAEA,EAAE,EAAE,GAAG,KAAK,KAAKA,CAAC,EAAE,EAAE,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE6qE,GAAG,CAAC,WAAW9gF,GAAG,YAAY,MAAM,WAAW6gF,EAAE,EAAE,SAASE,GAAG9qE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE3U,EAAE,gBAAgB,EAAEqS,EAAE,CAAC,EAAEuC,EAAE,GAAGC,EAAE3C,EAAE,WAAWG,CAAC,EAAEyC,EAAE5C,EAAE,WAAW,CAAC,EAAE8D,EAAEoxD,GAAGvyD,EAAEC,EAAE,EAAEH,EAAEV,EAAED,EAAED,EAAEW,EAAE,EAAEE,CAAC,EAAE,OAAO1C,EAAE,eAAe,EAAE8D,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI+mE,GAAG,CAAC,WAAW7gF,GAAG,YAAY,MAAM,WAAW4gF,EAAE,EAAE,SAASE,GAAGhrE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAEJ,EAAE,OAAOK,EAAE,EAAE,KAAKH,EAAEE,GAAGC,EAAE,KAAK,OAAOH,EAAEE,GAAG,CAAC,EAAEJ,EAAEK,CAAC,EAAE,EAAEH,EAAEG,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAAS6qE,GAAGjrE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAEE,EAAEJ,EAAE,OAAOK,EAAE,EAAE,KAAKH,EAAEE,GAAGC,EAAE,KAAK,OAAOH,EAAEE,GAAG,CAAC,EAAEJ,EAAEK,CAAC,GAAG,EAAEH,EAAEG,EAAE,EAAED,EAAEC,EAAE,OAAOD,CAAC,CAAC,SAAS8qE,GAAGlrE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,QAAQ0B,EAAEG,CAAC,EAAE,QAAQ0B,EAAE,EAAEA,EAAE7B,EAAE,EAAE6B,EAAE,CAAC,IAAIC,EAAEhC,EAAE,MAAM+B,EAAE3B,GAAG2B,EAAE,GAAG3B,CAAC,EAAE6B,EAAEF,EAAE1B,EAAE,QAAQqC,EAAE,EAAEA,EAAErC,EAAE,EAAEqC,EAAE,EAAET,EAAES,CAAC,EAAE,IAAI,OAAOsoE,GAAGhpE,EAAE,EAAEU,EAAET,CAAC,CAAC,EAAEgpE,GAAGjpE,EAAE,EAAEU,EAAET,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASkpE,GAAGnrE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,eAAeK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO+B,EAAEipE,GAAGnpE,EAAEC,EAAE3B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ+B,CAAC,CAAC,CAAC,IAAImpE,GAAG,CAAC,WAAWjhF,GAAG,YAAY,MAAM,WAAWghF,EAAE,EAAE,SAASE,GAAGrrE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE6yD,GAAG,CAAC9yD,EAAEC,EAAE,CAAC,EAAE,QAAQ,EAAE,IAAI,EAAED,EAAE,MAAM,OAAO2B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAEpE,GAAG+B,EAAE,MAAM,EAAE,KAAK,EAAEsC,EAAEnE,EAAE,oBAAoBA,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,CAAC,EAAEE,EAAE,EAAEC,EAAE,IAAI,GAAG,EAAE,GAAGxC,EAAE,MAAM,SAAS,EAAE,EAAE7B,EAAE,cAAc6B,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,QAAQyC,EAAE,EAAEA,EAAEf,EAAE,OAAOe,IAAI,QAAQkB,EAAE,EAAEA,EAAEnB,EAAEmB,IAAIjC,EAAEe,CAAC,IAAI,EAAEH,EAAEC,GAAG,EAAEZ,EAAEc,CAAC,EAAEH,EAAEC,GAAG,EAAEX,EAAEa,CAAC,EAAE,OAAO5C,EAAE,eAAeG,EAAE,MAAMqC,EAAEC,CAAC,CAAC,CAAC,IAAI2oE,GAAG,CAAC,WAAWlhF,GAAG,YAAY,MAAM,WAAWihF,EAAE,EAAME,GAAGv9E,EAAE,gBAAgBw9E,GAAGx9E,EAAE,WAAWy9E,GAAGjU,GAAGntE,GAAG2V,GAAGA,GAAG,EAAEwrE,GAAGxrE,EAAEurE,IAAI,KAAK,IAAIvrE,CAAC,EAAE,EAAE,EAAE0rE,GAAG,CAAC,WAAWrhF,GAAG,YAAY,MAAM,WAAWohF,EAAE,EAAME,GAAGnU,GAAGhtE,GAAGwV,GAAGA,EAAE,EAAE,GAAGA,EAAE,EAAE,EAAE,CAAC,EAAE4rE,GAAG,CAAC,WAAWphF,GAAG,YAAY,MAAM,WAAWmhF,EAAE,EAAME,GAAGrU,GAAG/sE,GAAGuV,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE8rE,GAAG,CAAC,WAAWrhF,GAAG,YAAY,MAAM,WAAWohF,EAAE,EAAME,GAAGvU,GAAG9sE,GAAGsV,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEgsE,GAAG,CAAC,WAAWthF,GAAG,YAAY,MAAM,WAAWqhF,EAAE,EAAME,GAAG,sBAAsBC,GAAG,KAAK,IAAID,EAAE,EAAE,EAAEE,GAAG3U,GAAG3sE,GAAGmV,GAAG,CAAC,IAAI,EAAEA,EAAE,CAACksE,GAAGhsE,EAAEF,EAAEksE,GAAG9rE,EAAE,KAAK,IAAIJ,CAAC,EAAEK,EAAE,OAAOH,EAAEG,EAAED,EAAE,EAAEC,EAAEL,EAAEK,EAAE,KAAK,IAAI,EAAED,CAAC,EAAEC,CAAC,CAAC,EAAE+rE,GAAG,CAAC,WAAWvhF,GAAG,YAAY,MAAM,WAAWshF,EAAE,EAAE,SAASE,GAAGrsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE8yD,GAAG,CAAC7yD,CAAC,EAAE,gBAAgB,EAAE,IAAI0B,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEknE,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE9oE,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE1U,EAAE,YAAYiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE3U,EAAE,YAAY0U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE5U,EAAE,oBAAoBiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAEu6D,GAAG,CAAC,OAAO,CAAC,EAAEr6D,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEoC,EAAE20D,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQv5D,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAEgC,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEx3D,CAAC,EAAE,QAAQ5E,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B4E,CAAC,EAAEH,CAAC,CAAC,IAAI2nE,GAAG,CAAC,WAAWxhF,GAAG,YAAY,MAAM,WAAWuhF,EAAE,EAAE,SAASE,GAAGvsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAC7gvG,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO,EAAE,IAAI0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE9B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO4B,EAAE/B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAOwC,EAAExC,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAACyC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEwxD,GAAGzzD,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAACxC,EAAE,eAAe0C,EAAExC,EAAE,MAAMuC,CAAC,EAAEzC,EAAE,eAAe,CAAC0C,EAAE,CAAC,CAAC,EAAEvC,EAAE,MAAMwC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC8D,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIwoE,GAAG,CAAC,WAAWzhF,GAAG,YAAY,MAAM,WAAWwhF,EAAE,EAAE,SAASE,GAAGzsE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACnjBA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKH,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE7B,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO4B,EAAE,MAAM,KAAK9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAE8yD,GAAG1zD,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAC9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,EAAE/B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI+pE,GAAG,CAAC,WAAW1hF,GAAG,YAAY,MAAM,WAAWyhF,EAAE,EAAE,SAASE,GAAG3sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YAC9mBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEgzD,GAAG,EAAEt1D,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI2qE,GAAG,CAAC,WAAW3hF,GAAG,YAAY,MAAM,WAAW0hF,EAAE,EAAE,SAASE,GAAG7sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACvhBA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO,EAAE,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,MAAM,CAAC,EAAE,MAAM,IAAI,MAAM,+CAA+C,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAIE,EAAE,MAAM,EAAE,OAAO2B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO2B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC+B,EAAES,CAAC,EAAEgzD,GAAG,EAAEt1D,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI6qE,GAAG,CAAC,WAAW5hF,GAAG,YAAY,MAAM,WAAW2hF,EAAE,EAAE,SAASE,GAAG/sE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,cAAcK,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE5U,EAAE,gBAAgB,EAAEqS,EAAE0B,CAAC,EAAEc,EAAE,GAAGC,EAAE5C,EAAE,WAAWG,CAAC,EAAE2D,EAAE,OAAO,EAAE,MAAM,CAAC,IAAI,OAAO,CAAC,IAAI,EAAE9D,EAAE,WAAW,CAAC,EAAEoH,EAAE,QAAQpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,CAAC,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,UAAU,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAEpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,QAAQ,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAEpH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,IAAI,SAAS,CAAC,IAAI,EAAE3C,EAAE,WAAW,CAAC,EAAEoH,EAAE9I,EAAE,aAAa0B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,CAAC,EAAE8D,EAAEoxD,GAAGtyD,EAAE,EAAEf,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE2E,EAAEzE,CAAC,EAAE,KAAK,CAAC,QAAQ,MAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO,CAAC,CAAC,OAAO3C,EAAE,eAAe6B,EAAEiC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIgpE,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW4hF,EAAE,EAAE,SAASE,GAAGjtE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,CAAC,EAAEY,EAAE,IAAIE,EAAEg4D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM+B,EAAE,KAAKW,CAAC,CAAC,CAAC,EAAE,OAAOX,EAAEF,CAAC,GAAGY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIqqE,GAAG,CAAC,WAAW9hF,GAAG,YAAY,MAAM,WAAW6hF,EAAE,EAAME,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW,CAAC,CAAC,OAAO0U,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEF,EAAEI,EAAE,EAAE8yD,GAAGhzD,EAAE,QAAQ,EAAE,IAAIG,EAAED,EAAE,KAAK,IAAIF,EAAE,MAAM,EAAE,OAAO,EAAE,IAAI,aAAaG,EAAE,MAAM,EAAE,QAAQ0B,EAAE,EAAEA,EAAE1B,EAAE,OAAO,EAAE0B,EAAE,CAAC,IAAIC,EAAE3B,EAAE0B,CAAC,EAAE,EAAEA,CAAC,EAAEC,EAAEA,CAAC,CAAC,MAAM,CAAC,OAAO5B,EAAE,MAAM,EAAEF,EAAE,MAAMA,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,EAAMktE,GAAG5V,GAAGhsE,GAAG,CAACwU,EAAE,IAAI,CAAC,IAAIE,EAAE,EAAE,OAAO,MAAMF,CAAC,EAAE,IAAIA,EAAE,EAAE,EAAEE,EAAE,KAAK,CAAC,EAAEmtE,GAAG,CAAC,WAAW7hF,GAAG,YAAY,MAAM,WAAW4hF,EAAE,EAAE,SAASE,GAAGttE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE8yD,GAAG7yD,EAAE,cAAc,EAAE,GAAG,CAAC,iBAAiBwC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEj8D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEhJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEG,EAAEg2D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK0E,CAAC,CAAC,CAAC,EAAED,EAAE23D,GAAG,CAAC,OAAO,CAAC,EAAEz3D,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE5C,EAAE,8BAA8B2E,CAAC,CAAC,KAAK,CAAC,IAAID,EAAE1E,EAAE,WAAWG,CAAC,EAAEwE,EAAEgxD,GAAGhzD,EAAE+B,EAAEF,EAAE,CAAC,EAAEC,EAAEzE,EAAE,eAAe4C,EAAE+B,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAI4oE,GAAG,CAAC,WAAW9hF,GAAG,YAAY,MAAM,WAAW6hF,EAAE,EAAE,SAASE,GAAGxtE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE1C,EAAE,KAAK,IAAIwC,EAAE,MAAM,EAAE,OAAOG,EAAE3C,EAAE,KAAK,IAAIyC,EAAE,MAAM,EAAE,OAAO,CAACG,EAAEkB,CAAC,EAAE8xD,GAAGlzD,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE5C,EAAE,eAAeyC,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIypE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAE,SAASE,GAAG1tE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE7B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO8B,EAAE9B,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAEozD,GAAGh0D,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAACxC,EAAE,eAAe,CAAC0C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAE/B,EAAE,eAAe,CAAC0C,CAAC,EAAE,SAASF,CAAC,EAAExC,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAWyC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIgrE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAE,EAAE,SAASE,GAAG5tE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,WAAWK,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEH,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO6B,EAAEi0D,GAAG,EAAE31D,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ6B,CAAC,CAAC,CAAC,IAAI8rE,GAAG,CAAC,WAAWjiF,GAAG,YAAY,MAAM,WAAWgiF,EAAE,EAAME,GAAGtW,GAAGxrE,GAAGgU,GAAG,KAAK,IAAIA,CAAC,CAAC,EAAE+tE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAME,GAAGxW,GAAGvrE,GAAG+T,GAAG,KAAK,KAAKA,CAAC,CAAC,EAAEiuE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAE,EAAE,SAASE,GAAGluE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI,EAAE61D,GAAGh2D,EAAE,WAAWG,CAAC,EAAE,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAIiuE,GAAG,CAAC,WAAW/hF,GAAG,YAAY,MAAM,WAAW8hF,EAAE,EAAE,SAASE,GAAIpuE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,MAAM,EAAE,IAAI0B,EAAE7B,EAAE,KAAK,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC2B,EAAEC,CAAC,EAAEk0D,GAAGp0D,EAAE1B,EAAE,MAAMA,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACH,EAAE,eAAe8B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAE9B,EAAE,eAAe+B,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIosE,GAAG,CAAC,WAAWhiF,GAAG,YAAY,MAAM,WAAW+hF,EAAG,EAAE,SAASE,GAAItuE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE/B,EAAE,CAACwC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE9I,EAAE,eAAe6B,EAAE,KAAK,EAAE,EAAEiH,EAAE,CAAC,EAAE7C,EAAE6C,EAAE,CAAC,EAAE5C,EAAE4C,EAAE,CAAC,EAAE3C,EAAEnG,EAAE,eAAe,CAAC,EAAEoG,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEI,EAAEJ,EAAE,CAAC,EAAE4C,EAAE/I,EAAE,uBAAuB6B,EAAE,MAAM7B,EAAE,cAAc,CAAC,CAAC,EAAE+I,EAAE,KAAKvF,CAAC,EAAE,IAAIgD,EAAE5E,EAAE,KAAK,IAAIC,EAAE,MAAM,EAAE,OAAO4E,EAAE7E,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,QAAQ+E,EAAE,EAAEA,EAAEzC,EAAE,EAAEyC,EAAE,CAAC,IAAIC,EAAE,EAAE,MAAM,CAAC,IAAI,EAAEH,EAAEA,EAAE,SAASE,EAAE,EAAEA,EAAE,EAAE,CAAC,EAAE,QAAQE,EAAE,EAAEA,EAAEvC,EAAE,EAAEuC,EAAE,QAAQ2C,EAAE,EAAEA,EAAEhE,EAAE,EAAEgE,EAAE,QAAQP,EAAE,EAAEA,EAAE5E,EAAE,EAAE4E,EAAE,CAAC,IAAIQ,EAAEC,EAAG9C,EAAE,CAAC,EAAE4C,EAAE5C,EAAE,CAAC,EAAEC,EAAE,EAAE,GAAG6C,IAAK,EAAE,SAAS,IAAIC,GAAI/C,EAAE,CAAC,EAAE4C,EAAE5C,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,GAAG8C,EAAGE,GAAIhD,EAAE,CAAC,EAAE4C,EAAE5C,EAAE,CAAC,EAAEC,EAAED,EAAE,CAAC,GAAG8C,EAAGG,GAAGkmE,GAAGpmE,EAAGvF,EAAEb,CAAC,EAAEuG,GAAGimE,GAAGnmE,EAAGzF,EAAEZ,CAAC,EAAE,OAAO,EAAE,CAAC,IAAI,UAAUkG,EAAEumE,GAAIxpE,EAAErC,EAAEC,EAAE,EAAE6B,EAAEC,EAAES,EAAEmD,GAAGD,GAAGZ,EAAEzF,CAAC,EAAE,MAAM,IAAI,WAAWiG,EAAEwmE,GAAIzpE,EAAErC,EAAEC,EAAE,EAAE6B,EAAEC,EAAES,EAAEmD,GAAGD,GAAGZ,EAAEzF,CAAC,EAAE,MAAM,QAAQ,MAAM,IAAI,MAAM,+DAA+D,GAAG,CAAC,CAAC,IAAI0E,GAAGvB,EAAEP,EAAES,EAAER,EAAEmD,EAAEjD,EAAE0C,EAAEF,EAAEb,EAAE,EAAEuB,CAAC,CAAC,OAAO7H,EAAE,eAAe,EAAEC,EAAE,MAAMkH,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOnH,EAAE,MAAMmH,EAAE,EAAElH,EAAE,KAAK,EAAE,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAIquE,GAAG,CAAC,WAAWpiF,GAAG,YAAY,MAAM,WAAWgiF,EAAG,EAAE,SAASC,GAAGvuE,EAAE,EAAEE,EAAE,CAAC,OAAOA,EAAE,CAAC,IAAI,UAAU,OAAOyuE,GAAI3uE,EAAE,CAAC,EAAE,IAAI,OAAO,OAAO4uE,GAAI5uE,EAAE,CAAC,EAAE,IAAI,UAAU,OAAO6uE,GAAI7uE,EAAE,CAAC,EAAE,IAAI,WAAW,QAAQ,OAAO8uE,GAAI9uE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS2uE,GAAI3uE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,EAAEE,IAAIF,EAAEE,EAAE,KAAK,MAAM,CAACF,EAAEE,CAAC,EAAEF,GAAGA,EAAEA,EAAE,CAAC,EAAEA,EAAEE,EAAE,CAACF,EAAE,CAAC,SAASA,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAGE,EAAE,KAAK,MAAMF,EAAEE,CAAC,EAAEF,GAAG,IAAIA,EAAEE,EAAEF,EAAE,EAAE,CAAC,OAAO1B,EAAE,MAAM,EAAE0B,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS0uE,GAAI5uE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAGE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAG,GAAG,KAAK,MAAM,CAACA,EAAEE,CAAC,EAAE,EAAE,SAASF,EAAE,EAAE,EAAE,GAAG,GAAG,EAAEA,EAAE,MAAM,CAAC,IAAIE,EAAE,EAAE,EAAEF,GAAG,EAAE,KAAK,MAAMA,EAAEE,CAAC,CAAC,CAAC,OAAO5B,EAAE,MAAM,EAAE0B,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS4uE,GAAI9uE,EAAE,EAAE,CAAC,OAAOA,CAAC,CAAC,SAAS6uE,GAAI7uE,EAAE,EAAE,CAAC,OAAOxB,EAAE,MAAM,EAAEwB,EAAE,EAAE,CAAC,CAAC,CAAC,SAAS+uE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,EAAEvC,EAAE2B,EAAE1B,EAAE2B,EAAE,EAAEC,EAAE,MAAO,IAAGF,GAAGA,EAAE,GAAG,GAAGC,GAAGA,EAAE9B,EAAEF,EAAE2C,CAAC,EAAED,CAAC,CAAC,SAAS8rE,GAAIxuE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAE,OAAO+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,CAAC,CAAC,SAAS+rE,GAAIzuE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,CAAC,IAAIC,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAE,KAAK,MAAMZ,CAAC,EAAEa,EAAEF,EAAE,EAAEG,EAAEF,EAAE,EAAEoB,GAAGlB,EAAEd,GAAG+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEC,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGmsE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEsC,EAAEG,EAAEb,EAAES,CAAC,EAAE,GAAGI,EAAEd,GAAG+sE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEwC,EAAED,EAAEX,EAAES,CAAC,GAAGV,EAAEY,GAAGmsE,GAAG/uE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAEwC,EAAEC,EAAEb,EAAES,CAAC,EAAE,OAAOG,EAAEd,GAAGiC,GAAGjC,EAAEY,GAAG,CAAC,CAAC,SAASqsE,GAAIhvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAEH,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEgzD,GAAG,EAAE,QAAQ,EAAE,IAAI,EAAE9yD,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEo0D,GAAG,EAAEh2D,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAIgtE,GAAG,CAAC,WAAWziF,GAAG,YAAY,MAAM,WAAWwiF,EAAG,EAAE,SAASE,GAAIlvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,CAAC,EAAE2B,EAAE,IAAI,MAAM,EAAE,CAAC,EAAEC,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAEA,IAAIA,IAAI,IAAIb,EAAEC,GAAG,EAAE5B,EAAE,MAAMwC,CAAC,GAAG,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,EAAEC,EAAEtC,EAAE,MAAM,MAAM,EAAEsC,EAAE,CAAC,EAAE,EAAE,IAAIC,EAAE,IAAI,MAAMb,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAED,EAAE,OAAOC,IAAI,CAACH,EAAE,CAAC,EAAEG,EAAE,IAAIC,EAAE+3D,GAAG,CAAC,OAAO,CAAC,EAAEx6D,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEC,EAAEC,CAAC,EAAEy5D,GAAG,CAAC,OAAO,CAAC,EAAEx5D,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAE9B,EAAE,8BAA8B4C,CAAC,CAAC,CAAC,OAAOF,CAAC,CAAC,IAAIusE,GAAG,CAAC,WAAW1iF,GAAG,YAAY,MAAM,WAAWyiF,EAAG,EAAE,SAASE,GAAIpvE,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE8yD,GAAG7yD,EAAE,oBAAoB,EAAE,IAAI0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,EAAE,MAAM,OAAOC,EAAE,CAAC,EAAES,EAAE,CAAC,EAAEC,EAAEZ,EAAEC,EAAEY,EAAE,EAAE,QAAQE,EAAE,EAAEA,EAAEH,EAAE,EAAEG,EAAE,CAAC,IAAIkB,EAAEo/D,GAAG,CAAC,OAAO,CAAC,MAAMxgE,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,IAAI4C,EAAE,CAAC,CAAC,CAAC,EAAEF,EAAEoB,EAAEtB,EAAE,KAAKsB,CAAC,CAAC,CAAC,QAAQlB,EAAE,EAAEA,EAAE,EAAE,EAAEA,EAAE,CAAC,IAAIkB,EAAExF,EAAE,kBAAkBsE,EAAE,OAAO,EAAE,EAAE5C,EAAE,eAAe,CAAC,EAAE,QAAQ8D,CAAC,EAAEsD,EAAEswD,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAEh1D,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,EAAE82D,GAAG,CAAC,OAAO,CAAC,EAAA1vD,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEuE,EAAE00D,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,EAAE94D,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAEwE,EAAE49D,GAAG,CAAC,OAAO,CAAC79D,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE+B,EAAE,KAAKyC,CAAC,EAAEhC,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK4E,CAAC,EAAE5E,EAAE,KAAK,CAAC,EAAEA,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,KAAKgC,CAAC,CAAC,CAAC,IAAI7B,EAAEmmE,GAAG,CAAC,OAAO/mE,EAAE,QAAQ/B,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,OAAOwC,EAAE,QAAQI,GAAG5C,EAAE,8BAA8B4C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIwsE,GAAG,CAAC,WAAW3iF,GAAG,YAAY,MAAM,WAAW0iF,EAAG,EAAME,GAAI,CAAC3S,GAAGpG,GAAGsG,GAAGE,GAAGzF,GAAG2F,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGE,GAAGM,GAAGE,GAAGE,GAAGE,GAAGvC,GAAGyC,GAAGE,GAAGE,GAAGE,GAAGvI,GAAGU,GAAG+H,GAAGhJ,GAAGkJ,GAAGI,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGC,GAAGC,GAAGI,GAAG9G,GAAGgH,GAAG9K,GAAGsL,GAAGpL,GAAGsL,GAAGpL,GAAG8L,GAAGG,GAAGC,GAAGhM,GAAGmM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGzM,GAAGE,GAAG1B,GAAGmO,GAAGlF,GAAGoF,GAAGE,GAAGE,GAAGzJ,GAAGpD,GAAGE,GAAG6M,GAAG3M,GAAG6M,GAAGG,GAAGE,GAAGG,GAAGE,GAAGE,GAAGE,GAAGzN,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGrO,GAAGuO,GAAGG,GAAGK,GAAG5O,GAAGE,GAAG6O,GAAGG,GAAGG,GAAGjP,GAAGmP,GAAGI,GAAGE,GAAGE,GAAGG,GAAGtN,GAAGpC,GAAG4P,GAAGE,GAAGE,GAAGE,GAAG/S,GAAGyM,GAAGwG,GAAG9N,GAAGE,GAAGG,GAAG2N,GAAGE,GAAGE,GAAGE,GAAGE,GAAGC,GAAGE,GAAGnQ,GAAGqQ,GAAGK,GAAGE,GAAGI,GAAG9Q,GAAGgR,GAAGE,GAAGE,GAAGlR,GAAGgN,GAAGsE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGE,GAAGlS,GAAGmS,GAAGjS,GAAGmS,GAAGE,GAAGE,GAAGE,GAAGE,GAAGtS,GAAGgH,GAAGwL,GAAGE,GAAGE,GAAGE,GAAGK,GAAGhV,GAAGuV,GAAGE,GAAGE,GAAGxG,EAAE,EAAE,QAAQ7oE,KAAKsvE,GAAIl2E,GAAG4G,CAAC,EAAE,IAAIZ,GAAG,CAAC,EAAEa,GAAGb,GAAG,CAAC,iBAAiB,IAAImwE,GAAG,wBAAwB,IAAIC,GAAI,8BAA8B,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,aAAa,IAAIC,GAAG,iBAAiB,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,cAAc,IAAIC,GAAG,wBAAwB,IAAIC,GAAG,yBAAyB,IAAIC,GAAG,cAAc,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,YAAY,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,eAAe,IAAIC,GAAI,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,YAAY,IAAIC,GAAG,aAAa,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,kCAAkC,IAAIC,GAAG,qBAAqB,IAAIC,GAAG,uBAAuB,IAAIC,GAAG,aAAa,IAAIC,GAAG,mCAAmC,IAAIC,GAAG,8BAA8B,IAAIC,GAAG,cAAc,IAAIC,GAAG,oBAAoB,IAAIC,GAAG,sBAAsB,IAAIC,GAAG,YAAY,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,oBAAoB,IAAIC,GAAI,yBAAyB,IAAIC,GAAI,kCAAkC,IAAIC,GAAG,kBAAkB,IAAIC,GAAI,oBAAoB,IAAIC,GAAG,gBAAgB,IAAIC,GAAG,oBAAoB,IAAIC,EAAE,CAAC,EAAE,IAAIC,GAAG,CAAC,EAAEC,GAAG,CAAC,MAAM,GAAG,UAAU,GAAG,mBAAmB,GAAG,sBAAsB,GAAG,MAAM,GAAG,QAAQ,GAAG,6BAA6B,EAAE,EAAE,SAASn3E,GAAGgF,EAAE,EAAE,CAACkyE,GAAGlyE,CAAC,EAAE,CAAC,CAAC,SAASoyE,GAAGpyE,EAAE,EAAE,CAAC,GAAG,EAAEA,KAAKkyE,KAAK,GAAG,KAAK,CAAC,IAAI9xE,EAAEiyE,GAAIryE,EAAE,CAAC,EAAE,GAAGI,IAAI,KAAK8xE,GAAGlyE,CAAC,EAAEI,MAAO,QAAO,QAAQ,IAAI,0CAA0CJ,CAAC,EAAE,IAAI,CAAC,IAAIE,EAAEgyE,GAAGlyE,CAAC,EAAE,OAAOE,GAAG,MAAMA,EAAE,cAAc,GAAG,OAAOgyE,GAAGlyE,CAAC,EAAEoyE,GAAGpyE,CAAC,IAAIE,EAAE,QAAQA,EAAE,UAAU,EAAEA,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,QAAQA,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,MAAM,EAAEA,EAAE,QAAQA,EAAE,mBAAmB,EAAEA,EAAE,QAAQA,EAAE,eAAe,EAAEA,EAAE,OAAOA,EAAE,YAAY,EAAEA,EAAE,OAAOA,EAAE,SAAS,EAAEA,EAAE,SAASA,EAAE,IAAI,EAAEgyE,GAAGlyE,CAAC,EAAE,CAAC,SAASsyE,GAAItyE,EAAE,CAAC,GAAG,OAAO,iBAAiB,aAAaA,IAAI,EAAE,OAAO,IAAI,gBAAgB,IAAI,GAAG,EAAE,GAAG,OAAO,UAAU,YAAY,OAAO,SAAS,cAAc,QAAQ,EAAE,MAAM,IAAI,MAAM,wCAAwC,CAAC,CAAC,SAASqyE,GAAIryE,EAAE,EAAE,CAAC,GAAGA,IAAI,GAAGA,IAAI,EAAE,MAAM,IAAI,MAAM,wDAAwD,EAAE,IAAIE,EAAE,GAAG,KAAKoyE,GAAItyE,CAAC,EAAE,EAAE,OAAOE,EAAE,iBAAiB,mBAAmBE,GAAG,CAACA,EAAE,eAAe,EAAE,OAAO8xE,GAAGlyE,CAAC,CAAC,EAAE,EAAE,EAAEpO,EAAE,EAAE,QAAQ,wBAAwB,IAAIugF,GAAG,6BAA6B,IAAInyE,IAAI,EAAEE,EAAE,WAAW,QAAQiyE,EAAE,GAAGjyE,EAAE,WAAW,qBAAqBiyE,EAAE,EAAEjyE,EAAE,WAAW,SAASiyE,EAAE,CAAC,CAAC,IAAII,IAAI,SAASvyE,EAAE,CAACA,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQA,EAAEA,EAAE,aAAa,CAAC,EAAE,cAAc,GAAGuyE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASxyE,EAAE,CAACA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,SAAS,CAAC,EAAE,UAAU,GAAGwyE,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASzyE,EAAE,CAACA,EAAEA,EAAE,iBAAiB,CAAC,EAAE,mBAAmBA,EAAEA,EAAE,iBAAiB,CAAC,EAAE,mBAAmBA,EAAEA,EAAE,yBAAyB,CAAC,EAAE,2BAA2BA,EAAEA,EAAE,mBAAmB,CAAC,EAAE,qBAAqBA,EAAEA,EAAE,mBAAmB,CAAC,EAAE,oBAAoB,GAAGyyE,KAAKA,GAAG,CAAC,EAAE,EAAE,SAASC,GAAG1yE,EAAE,EAAE,CAAC,MAAM,CAAC,EAAEA,CAAC,CAAC,CAAC,SAAS2yE,GAAG3yE,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,CAAC,SAAS4yE,GAAG5yE,EAAE,CAAC,IAAI,EAAExB,EAAE,cAAcwB,CAAC,EAAEE,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,OAAO1B,EAAE,oBAAoB0B,CAAC,CAAC,CAAC,SAAS2yE,GAAG7yE,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,IAAI,EAAE,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE,KAAK,IAAI,EAAE,KAAK,KAAKA,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS8yE,GAAG9yE,EAAE,EAAE,CAAC,GAAG,CAACE,EAAEE,CAAC,EAAEyyE,GAAG7yE,EAAE,CAAC,EAAE,OAAOE,EAAEE,EAAE,CAAC,CAAC,SAAS2yE,GAAG/yE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAEI,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,EAAE,OAAOhR,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGwO,EAAEF,EAAE,KAAKG,EAAEH,EAAE,KAAK,EAAEA,EAAE,QAAQ,EAAEA,EAAE,QAAQ6B,EAAE7B,EAAE,IAAI+B,EAAE,EAAES,EAAE,EAAEC,EAAEzC,EAAE,WAAW0C,EAAE1C,EAAE,MAAM8B,EAAE9B,EAAE,QAAQE,EAAEJ,EAAE,KAAKK,EAAEL,EAAE,KAAK,EAAEA,EAAE,KAAK,EAAEE,EAAE,KAAK6B,EAAE/B,EAAE,KAAKiC,EAAE,EAAES,EAAE,EAAEC,EAAE,GAAG,KAAK,EAAE,eAAe,KAAKC,EAAE5C,EAAE,MAAMgC,EAAEhC,EAAE,MAAM,CAAC,oBAAoBI,EAAE,wBAAwBC,EAAE,8BAA8B,EAAE,0BAA0B,EAAE,mBAAmB0B,EAAE,sBAAsBC,EAAE,0BAA0BC,EAAE,mBAAmBS,EAAE,qBAAqBC,EAAE,iBAAiBC,CAAC,CAAC,CAAC,SAASitE,GAAG7vE,EAAE,EAAE,CAAC,IAAIE,EAAE,EAAE,EAAE,OAAOtO,EAAE,EAAE,QAAQ,OAAO,GAAGohF,GAAIhzE,CAAC,EAAEE,CAAC,CAAC,SAAS8yE,GAAIhzE,EAAE,CAAC,IAAI,EAAEA,EAAE,SAAS,EAAE,GAAG,IAAIA,EAAE,SAAS,MAAM,IAAI,MAAM,gBAAgBixE,GAAGjxE,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIizE,GAAI,QAAQC,GAAI,MAAM,SAASpD,GAAG9vE,EAAE,CAAC,MAAM,CAAC,EAAEpO,EAAE,EAAE,QAAQ,8BAA8B,GAAGoO,IAAI,GAAGizE,GAAI,KAAK,IAAIjzE,CAAC,GAAG,KAAK,IAAIA,CAAC,EAAEkzE,GAAI,CAAC,SAASjC,GAAGjxE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,SAAS,MAAM,WAAW,KAAKA,EAAE,aAAa,MAAM,eAAe,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,kBAAkB,MAAM,oBAAoB,KAAKA,EAAE,8BAA8B,MAAM,gCAAgC,KAAKA,EAAE,cAAc,MAAM,gBAAgB,KAAKA,EAAE,mBAAmB,MAAM,qBAAqB,QAAQ,MAAM,sBAAsB,GAAG,CAAC,CAAC,SAASuwE,GAAGvwE,EAAE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,CAAC,EAAE,cAAc,EAAE,kCAAkC,CAAC,CAAC,SAASqwE,GAAGrwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAaA,EAAE,aAAa,EAAE,sCAAsC,EAAE,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,kCAAkC,EAAE,OAAOA,CAAC,CAAC,SAAS6vE,GAAG/vE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAaA,EAAE,eAAe,EAAE,wCAAwC,EAAE,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,aAAaE,EAAE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcE,CAAC,CAAC,EAAEtO,EAAE,EAAE,IAAI,qBAAqB,EAAE,OAAOsO,EAAE,GAAGF,EAAE,mBAAmBE,EAAEF,EAAE,cAAc,IAAI,GAAG,MAAM0xE,GAAG,EAAE1xE,EAAE,iBAAiBE,CAAC,CAAC,EAAE,IAAI,MAAM,oCAAoC,EAAE,OAAOA,CAAC,CAAC,IAAIkzE,GAAI,2BAA2B,SAAS1B,GAAG1xE,EAAE,EAAE,CAAC,IAAIE,EAAEkzE,GAAI,KAAK,CAAC,EAAE,GAAGlzE,GAAG,KAAK,CAAC,QAAQ,IAAI,wCAAwC,GAAG,EAAE,QAAQ,IAAIF,CAAC,EAAE,MAAM,CAAC,IAAII,EAAE,CAACF,EAAE,CAAC,EAAEG,EAAEL,EAAE,MAAM;AAAA,CAC9jc,EAAE,EAAEK,EAAE,OAAO,SAAS,EAAE,OAAO,EAAE,EAAEA,EAAE,IAAI,CAACsC,EAAEC,IAAIpE,EAAE,UAAUoE,EAAE,GAAG,SAAS,EAAE,CAAC,EAAED,CAAC,EAAEZ,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAIZ,EAAE,KAAK,IAAI,EAAEY,CAAC,EAAE,OAAOZ,CAAC,EAAE,IAAIC,EAAE,EAAE,MAAM,EAAE5B,EAAE,CAAC,EAAE6B,EAAE,EAAE,MAAM7B,EAAE,EAAEA,CAAC,EAAEsC,EAAE,EAAE,MAAMtC,CAAC,EAAE,QAAQ,IAAI4B,EAAE,KAAK;AAAA,CACjN,CAAC,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,MAAMxD,EAAE,SAASyD,EAAE,CAAC,EAAEF,CAAC,IAAI,+DAA+D,EAAE,QAAQ,IAAIW,EAAE,KAAK;AAAA,CACjI,CAAC,CAAC,CAAC,SAASutE,GAAGjwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASyxE,GAAGzxE,EAAE,EAAE,CAAC,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAY,CAAC,CAAC,EAAE,CAACpO,EAAE,EAAE,IAAI,qBAAqB,GAAGoO,EAAE,oBAAoB,EAAEA,EAAE,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,6CAA6C,CAAC,CAAC,SAASgyE,GAAGhyE,EAAE,EAAE,CAAC,GAAG6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgB,CAAC,CAAC,EAAEA,EAAE,oBAAoB,EAAEA,EAAE,eAAe,IAAI,GAAG,MAAM,QAAQ,IAAIA,EAAE,kBAAkB,CAAC,CAAC,EAAE,IAAI,MAAM,mCAAmC,CAAC,CAAC,SAASmwE,GAAGnwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASgwE,GAAGlwE,EAAE,EAAE,CAAC,IAAIE,EAAEizE,GAAGnzE,EAAE,IAAIA,EAAE,aAAa,EAAE,8BAA8B,EAAE,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqBE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,EAAEA,EAAE,WAAW,CAAC,EAAEE,CAAC,CAAC,SAASwwE,IAAK,CAAC,OAAO9+E,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,EAAE,CAAC,CAAC,SAASw+E,GAAGpwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,cAAc,EAAE,gCAAgC,CAAC,CAAC,SAASiyE,GAAGjyE,EAAE,EAAE,CAAC,IAAIE,EAAEtO,EAAE,EAAE,UAAU,wBAAwB,EAAE,GAAGoO,GAAG,GAAG,GAAG,EAAE,CAAC,IAAII,EAAE,IAAIJ,KAAK,KAAK,MAAM,IAAI,MAAM,0BAA0BI,EAAE,cAAc,CAAC,CAAC,GAAGJ,EAAEE,GAAG,EAAEA,EAAE,CAAC,IAAIE,EAAE,IAAIJ,KAAK,KAAKK,EAAE,IAAIH,KAAKA,KAAK,MAAM,IAAI,MAAM,0BAA0BE,EAAE,qDAAqDC,EAAE,GAAG,CAAC,CAAC,CAAC,SAAS2vE,GAAGhwE,EAAE,CAAC,OAAOmzE,GAAGnzE,EAAE,IAAIA,EAAE,kBAAkB,EAAE,oCAAoC,CAAC,CAAC,SAAS4vE,GAAG5vE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE/B,EAAE,kBAAkB,EAAEE,CAAC,EAAE,OAAO6B,IAAI,GAAG,IAAI8tE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaI,CAAC,CAAC,EAAEyvE,GAAG7vE,EAAE,IAAIA,EAAE,oBAAoB+B,EAAE1B,EAAEL,EAAE,MAAM,GAAG,EAAE,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,wBAAwB+B,CAAC,CAAC,EAAE,GAAG,CAAC,SAAS4tE,GAAG3vE,EAAE,EAAEE,EAAE,CAACmzE,GAAGrzE,EAAEE,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAASE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,SAAS8xE,GAAI9xE,EAAE,EAAE,CAACqzE,GAAGrzE,EAAE,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,SAAS,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAAS4wE,GAAG5wE,EAAE,EAAEE,EAAE,CAAC,OAAOizE,GAAGnzE,EAAE,IAAIA,EAAE,mBAAmB,EAAEE,CAAC,EAAE,YAAYA,EAAE,2BAA2B,CAAC,CAAC,SAASywE,GAAG3wE,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,mBAAmB,EAAEE,CAAC,CAAC,CAAC,SAASwvE,GAAG1vE,EAAE,EAAEE,EAAEE,EAAE,CAACyvE,GAAG7vE,EAAE,IAAI2vE,GAAG3vE,EAAE,EAAEI,CAAC,CAAC,EAAEyvE,GAAG7vE,EAAE,IAAIA,EAAE,UAAUE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAASovE,GAAIxvE,EAAE,CAAC6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEA,EAAE,OAAO,MAAMA,EAAE,OAAO,MAAM,CAAC,CAAC,CAAC,SAASyvE,GAAGzvE,EAAE,EAAEE,EAAE,CAAC2vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAYE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS6xE,GAAG7xE,EAAE,EAAE,CAAC6vE,GAAG7vE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAW,KAAK,CAAC,CAAC,CAAC,CAAC,SAAS+xE,GAAG/xE,EAAE,CAAC,IAAI,EAAEA,EAAE,uBAAuBA,EAAE,WAAW,EAAE,GAAG,IAAIA,EAAE,qBAAqB,MAAM,IAAI,MAAM,8BAA8BwwE,GAAGxwE,EAAE,CAAC,CAAC,CAAC,CAAC,SAASwwE,GAAGxwE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,0CAA0C,MAAM,4CAA4C,KAAKA,EAAE,kCAAkC,MAAM,oCAAoC,KAAKA,EAAE,wBAAwB,MAAM,0BAA0B,QAAQ,MAAM,iBAAiB,GAAG,CAAC,CAAC,SAASmzE,GAAGnzE,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEyvE,GAAG7vE,EAAE,IAAI,EAAE,CAAC,EAAE,GAAGI,GAAG,KAAK,MAAM,IAAI,MAAMF,CAAC,EAAE,OAAOE,CAAC,CAAC,SAASizE,GAAGrzE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,iCAAiC,EAAEI,EAAE,EAAEJ,EAAE,SAAS,GAAGI,EAAEJ,EAAE,UAAUI,EAAEF,EAAE,CAAC,IAAIG,EAAE,2BAA2BH,KAAK,MAAM,IAAI,MAAM,0BAA0BG,IAAI,CAAC,CAAC,CAAC,SAASiwE,GAAGtwE,EAAE,EAAE,EAAE,CAAC,OAAOxB,EAAE,cAAcwB,EAAE,MAAM,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS6wE,GAAG7wE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,MAAM,MAAM,sDAAsD,EAAE,MAAM,CAACA,EAAE,OAAO,EAAEA,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAEA,EAAEA,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,SAAS8wE,GAAG9wE,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,OAAOA,EAAE,SAAS,GAAGA,EAAE,SAAS,GAAGA,EAAE,CAAC,IAAI,IAAI,EAAE,CAACswE,GAAGtwE,CAAC,EAAE,GAAG6wE,GAAG7wE,CAAC,CAAC,GAAG,CAAC,CAAC,SAAS+wE,GAAG/wE,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEtO,EAAE,EAAE,UAAU,wBAAwB,EAAEwO,EAAExO,EAAE,EAAE,UAAU,mCAAmC,EAAEwO,IAAI,EAAE,GAAGxO,EAAE,EAAE,QAAQ,0CAA0C,IAAIwO,EAAEF,EAAE,GAAG,IAAIA,EAAEA,EAAE,EAAEE,EAAEA,EAAE,EAAEJ,EAAEA,EAAE,IAAI,CAAC+B,EAAEC,IAAIA,GAAGhC,EAAE,OAAO,EAAExB,EAAE,kBAAkBwB,EAAEgC,CAAC,CAAC,EAAEhC,EAAEgC,CAAC,CAAC,EAAEhC,EAAE,SAAS,IAAIA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,IAAIA,EAAE,SAAS,IAAIA,EAAExB,EAAE,aAAawB,CAAC,EAAE,UAAU,IAAIK,EAAE7B,EAAE,cAAcwB,CAAC,EAAE,EAAE,KAAKA,EAAE,QAAQ,GAAGK,GAAGH,EAAE,EAAE,CAAC,EAAEG,CAAC,EAAEL,EAAE,SAAS,GAAGA,EAAE,CAAC,GAAGE,GAAGF,EAAE,CAAC,GAAGE,EAAE,EAAEF,EAAEA,EAAE,SAAS,GAAGA,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAGE,GAAGF,EAAE,CAAC,GAAGE,EAAE,EAAE,CAACF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEA,EAAE,SAAS,GAAGA,EAAE,CAAC,GAAGE,GAAGF,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAGE,EAAE,EAAE,CAACF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEA,EAAE,SAAS,GAAGA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAGE,GAAGF,EAAE,CAAC,GAAGE,EAAE,EAAE,CAACF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEA,EAAE,SAAS,GAAGA,EAAE,CAAC,GAAGE,GAAGF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAGE,IAAI,EAAE,CAACF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,GAAG,IAAI,EAAE,GAAG,MAAM,KAAK,IAAI,GAAG,CAAC,EAAEI,GAAG,KAAK,IAAI,GAAG,CAAC,IAAI,EAAE,EAAE,IAAI,KAAK,IAAI,GAAG,CAAC,EAAE,EAAE,GAAG,GAAG,MAAM,EAAE,GAAG,EAAE,CAAC,IAAI2B,EAAEuuE,GAAGtwE,CAAC,EAAEgC,EAAE,EAAEC,EAAE,EAAEjC,EAAE,SAAS,CAACgC,EAAEC,CAAC,EAAE4uE,GAAG7wE,CAAC,GAAGK,EAAE0B,GAAGC,EAAE,IAAIC,EAAE,GAAG,EAAEzD,EAAE,oBAAoB6B,CAAC,EAAE,IAAIqC,GAAGA,EAAE,CAAC,CAAC,MAAM,EAAElE,EAAE,oBAAoB6B,CAAC,EAAE,OAAO,CAAC,CAAC,SAASizE,GAAGtzE,EAAE,CAAC,OAAOA,EAAE,IAAI,CAAC,CAAC,SAASsxE,GAAGtxE,EAAE,EAAE,CAAC,GAAGA,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,EAAExB,EAAE,YAAYwB,EAAE,CAAC,GAAG,CAACA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,CAAC,IAAI,GAAGA,EAAE,CAAC,IAAI,GAAG,EAAE,CAAC,IAAI,GAAG,EAAE,CAAC,IAAI,EAAE,MAAM,GAAG,GAAGA,EAAE,SAAS,EAAE,OAAO,CAAC,IAAIE,EAAEF,EAAE,MAAM,EAAE,EAAE,CAAC,EAAEI,EAAE,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,GAAGF,IAAIE,GAAGkzE,GAAGpzE,CAAC,GAAGozE,GAAGlzE,CAAC,IAAIJ,EAAE,CAAC,IAAI,GAAG,EAAE,CAAC,IAAI,GAAG,MAAM,EAAE,CAAC,OAAOA,EAAE,CAAC,IAAI,EAAE,CAAC,GAAGszE,GAAGtzE,EAAE,CAAC,CAAC,GAAGszE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIC,GAAGC,GAAG,SAAStC,GAAGlxE,EAAE,CAAC,GAAGuzE,IAAI,KAAK,CAAC,IAAI,EAAEnB,GAAGpyE,CAAC,EAAEuzE,GAAG,EAAE,aAAa,EAAE,gBAAgB,CAAC,CAAC,OAAOA,EAAE,CAAC,SAAS5B,IAAK,CAAC4B,GAAG,IAAI,CAAC,SAAS3B,IAAK,CAAC4B,GAAG,IAAI,CAAC,SAAS/C,GAAGzwE,EAAE,CAAC,GAAGwzE,IAAI,KAAK,CAAC,IAAI,EAAEpB,GAAGpyE,CAAC,EAAEwzE,GAAG,EAAE,aAAa,EAAE,uBAAuB,CAAC,CAAC,OAAO,KAAK,IAAI,GAAGA,EAAE,CAAC,CAAC,SAASxC,GAAGhxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAO,GAAE,IAAI,EAAEE,EAAEkyE,GAAGpyE,CAAC,EAAE,OAAOmxE,GAAGjxE,EAAE,iCAAiC,GAAGF,IAAI,EAAE,EAAE,EAAEmxE,GAAGjxE,EAAE,0BAA0B,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,SAASixE,GAAGnxE,EAAE,EAAE,CAAC,OAAOA,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,SAASwxE,GAAGxxE,EAAE,CAAC,GAAG,CAAC,GAAGoyE,GAAGpyE,CAAC,GAAG,KAAK,MAAM,EAAE,OAAO,EAAN,CAAS,OAAO,QAAQ,IAAI,qCAAqC,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC,SAASoxE,GAAGpxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEoyE,GAAGpyE,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAACmxE,GAAG,EAAE,mBAAmB,EAAE,MAAM,WAAW,CAACA,GAAG,EAAE,wBAAwB,EAAE,MAAM,GAAG,OAAOsC,GAAG,CAAC,CAAC,CAAC,SAASpC,GAAGrxE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,IAAI,EAAEoyE,GAAGpyE,CAAC,EAAE,GAAGA,IAAI,GAAG,GAAG,CAACmxE,GAAG,EAAE,mBAAmB,GAAG,CAACA,GAAG,EAAE,0BAA0B,EAAE,MAAM,OAAO,CAAC,GAAGA,GAAG,EAAE,wBAAwB,EAAE,OAAOsC,GAAG,CAAC,EAAE,IAAI,EAAE,8BAA8B,GAAGtC,GAAG,EAAE,CAAC,EAAE,CAAC,IAAI9wE,EAAE,EAAE,aAAa,CAAC,EAAE,OAAOqzE,GAAI,EAAErzE,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,OAAOozE,GAAG,CAAC,CAAC,CAAC,SAASA,GAAGzzE,EAAE,CAAC,IAAI,EAAE+yE,GAAG/yE,CAAC,EAAEE,EAAEF,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWE,CAAC,EAAE,IAAIE,EAAE,EAAEC,EAAE,EAAEL,EAAE,WAAWA,EAAE,WAAW,EAAE,EAAE,oBAAoBI,EAAEC,EAAE,EAAE,EAAE,mBAAmB,EAAE,iBAAiB,IAAI,EAAE,IAAI,EAAEL,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWE,EAAE,CAAC,EAAE,IAAI,EAAEF,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcE,CAAC,EAAEF,EAAE,kBAAkB,CAAC,EAAE,CAAC,CAAC,SAAS0zE,GAAI1zE,EAAE,EAAE,CAAC,IAAIE,EAAE6yE,GAAG/yE,EAAE,CAAC,EAAEI,EAAEJ,EAAE,cAAc,EAAEA,EAAE,YAAYA,EAAE,WAAWI,CAAC,EAAE,IAAIC,EAAE,EAAE,EAAE,EAAEL,EAAE,WAAWA,EAAE,WAAW,EAAEE,EAAE,wBAAwBG,EAAE,EAAE,EAAEH,EAAE,mBAAmBA,EAAE,qBAAqB,IAAI,EAAE,IAAI,EAAEF,EAAE,kBAAkB,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,CAAC,EAAEA,EAAE,qBAAqBA,EAAE,YAAYA,EAAE,kBAAkBA,EAAE,WAAWI,EAAE,CAAC,EAAE,IAAI2B,EAAE/B,EAAE,uBAAuBA,EAAE,WAAW,IAAIA,EAAE,qBAAqB,OAAOA,EAAE,YAAYA,EAAE,WAAW,IAAI,EAAEA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,EAAEA,EAAE,cAAcI,CAAC,EAAEJ,EAAE,kBAAkB,CAAC,EAAE+B,CAAC,CAAC,SAASwvE,GAAGvxE,EAAE,CAAC,OAAOA,IAAI,EAAE,GAAGoyE,GAAGpyE,CAAC,EAAE,WAAW,IAAI,CAAC,SAASuvE,GAAGvvE,EAAE,EAAE,CAAC,MAAM,QAAQA,CAAC,IAAIA,EAAE,CAACA,CAAC,GAAGA,EAAE,QAAQE,GAAG,CAACA,GAAG,MAAM1B,EAAE,OAAO0B,EAAE,QAAQ,YAAY,IAAI,GAAG,4DAA4D,CAAC,CAAC,CAAC,CAAC,IAAIyzE,GAAG/hF,EAAE,EAAE+hF,GAAG,aAAa,YAAY,IAAIA,GAAG,UAAU,eAAe,EAAE,CAAC,EAAEA,GAAG,aAAa,gBAAgB,IAAInC,GAAG,CAAC,EAAE,EAAEA,GAAG,CAAC,EAAE,EAAE,CAAC,EAAEmC,GAAG,aAAa,iCAAiC,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,IAAI,eAAe,IAAI,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAI,EAAE,EAAEA,GAAG,aAAa,2BAA2B,IAAI,EAAE,EAAEA,GAAG,aAAa,aAAa,IAAIA,GAAG,QAAQ,WAAW,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,kBAAkB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,2BAA2B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,8BAA8B,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,sBAAsB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,oBAAoB,IAAIA,GAAG,QAAQ,YAAY,CAAC,EAAEA,GAAG,aAAa,yBAAyB,IAAIzC,GAAGyC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIlD,GAAGkD,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+CAA+C,IAAI,CAAC,IAAI3zE,EAAE2zE,GAAG,UAAU,eAAe,EAAE,OAAO3zE,IAAI,EAAE,EAAEgxE,GAAGhxE,CAAC,CAAC,CAAC,EAAE2zE,GAAG,aAAa,gDAAgD,IAAIA,GAAG,UAAU,8CAA8C,EAAE,GAAG,CAAC/iF,GAAG,SAAS,CAAC,EAAE+iF,GAAG,aAAa,+BAA+B,IAAIvC,GAAGuC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAIA,GAAG,QAAQ,0BAA0B,EAAE,GAAGA,GAAG,QAAQ,8BAA8B,CAAC,EAAEA,GAAG,aAAa,+BAA+B,IAAItC,GAAGsC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,0BAA0B,IAAIpC,GAAGoC,GAAG,UAAU,eAAe,CAAC,CAAC,EAAEA,GAAG,aAAa,4BAA4B,IAAIA,GAAG,QAAQ,8BAA8B,EAAE,EAAE,CAAC,EAAEA,GAAG,aAAa,iCAAiC,IAAI,GAAG3zE,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,8FAA8FA,IAAI,CAAC,CAAC,EAAE2zE,GAAG,aAAa,wBAAwB,IAAI/iF,GAAG,SAAS,EAAE,EAAE,GAAGoP,GAAG,CAAC,GAAGA,EAAE,GAAGA,IAAI,GAAG,MAAM,IAAI,MAAM,2FAA2FA,IAAI,CAAC,CAAC,EAAE2zE,GAAG,aAAa,6BAA6B,IAAI,GAAG,EAAEA,GAAG,aAAa,4BAA4B,IAAI,EAAE,EAAEA,GAAG,aAAa,2CAA2C,IAAI,GAAG,EAAEA,GAAG,aAAa,+BAA+B,IAAI,GAAG,EAAEA,GAAG,aAAa,iBAAiB,IAAI,EAAE,EAAEA,GAAG,aAAa,yBAAyB,IAAIA,GAAG,QAAQ,SAAS,CAAC,EAAEA,GAAG,aAAa,oCAAoC,IAAI,EAAE,CAAC,EAAEA,GAAG,aAAa,2CAA2C,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAEA,GAAG,aAAa,sBAAsB,IAAI,EAAE,EAAE,SAASC,IAAI,CAAC,IAAI5zE,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,EAAE,OAAOrQ,EAAE,EAAE,UAAU,eAAe,IAAI,GAAGoO,EAAE,kBAAkB,EAAE,KAAKE,EAAE,MAAME,EAAE,KAAKC,EAAE,UAAU,EAAE,cAAc,EAAE,wBAAwB0B,EAAEnQ,EAAE,EAAE,QAAQ,qBAAqB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAYjrU,GAAGoQ,EAAE,GAAGC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QASRjC,EAAE,GAAG,EAAE,YAAYE,EAAE,UAAUE,EAAE,UAAUC,EAAE,YAAY,EAAE,eAAe,EAAE,GAAG0B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAQnFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASFC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQD,CAAC,QAAQjC,EAAE,UAAU,EAAE,UAAUE,EAAE,UAAUE,EAAE,UAAUC,EAAE,OAAO,EAAE,aAAa,EAAE,iBAAiB0B,EAAE,iBAAiBC,EAAE,YAAYC,CAAC,CAAC,CAAC,SAAS4xE,GAAG7zE,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAE5B,EAAE,eAAe,CAAC,EAAE,OAAO4B,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOL,EAAE,CAAC,OAAOE,OAAOG,IAAI0B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOJ,EAAE,EAAE,CAAC,OAAOE,OAAOF,EAAE,CAAC,OAAOK,IAAI,YAAYL,EAAE,CAAC,OAAOK,IAAI,MAAM,GAAG,MAAM0B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAAS+xE,GAAG9zE,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAE5B,EAAE,eAAe,CAAC,EAAE,OAAO4B,EAAE,IAAI,CAACC,EAAE,IAAI,CAAC,IAAI,EAAE,OAAOL,EAAE,CAAC,OAAOE,uBAAuB,KAAK6B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOJ,EAAE,EAAE,CAAC,OAAOE,OAAOF,EAAE,CAAC,uBAAuB,KAAK,YAAYA,EAAE,CAAC,uBAAuB,KAAK,MAAM,GAAG,MAAM+B,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASgyE,GAAI/zE,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAOI,EAAEJ,EAAE,IAAI,GAAG,GAAG,KAAK,IAAI,EAAEK,EAAE,IAAI,MAAMH,EAAE,CAAC,EAAEG,EAAEH,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAE,QAAQ,EAAEA,EAAE,EAAE,GAAG,EAAE,EAAE,EAAEG,EAAE,CAAC,EAAE,IAAIA,EAAE,EAAE,CAAC,OAAOD,EAAE,EAAE,CAAC,KAAK,OAAOC,CAAC,CAAC,SAAS2zE,GAAGh0E,EAAE,EAAEE,EAAE,QAAQ,CAAC,IAAIE,EAAEJ,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,EAAEK,EAAE0zE,GAAI3zE,EAAE,CAAC,EAAE,OAAOC,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,IAAI0B,EAAE,OAAO/B,EAAE,CAAC,OAAOE,OAAOG,EAAE,CAAC,IAAI2B,EAAE,IAAI3B,EAAE,OAAO,EAAE,OAAOL,EAAE,EAAE,CAAC,OAAOE,OAAOF,EAAE,CAAC,OAAOK,EAAE,CAAC,IAAI,YAAYL,EAAE,CAAC,OAAOK,EAAE,CAAC,IAAI,MAAM,GAAG0B,MAAMC,IAAI,CAAC,EAAE,KAAK,EAAE,CAAC,CAAC,SAASiyE,GAAGj0E,EAAE,CAAC,IAAI,EAAExB,EAAE,eAAewB,CAAC,EAAE,IAAIE,GAAGA,EAAE,SAAS,CAAC,EAAE,MAAM;AAAA;AAAA,wBAEhjC,EAAE,CAAC,kBAAkB,EAAE,CAAC;AAAA;AAAA,CAE/C,CAAC,SAASg0E,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,CAIrB,CAAC,IAAIC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuCJ,CAAC,iBAAiBC,EAAE,EAAEpmF,EAAE,SAASqmF,GAAGr0E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAE,GAAGJ,EAAE,QAAQ6C,GAAG,CAAC,IAAIC,EAAEtE,EAAE,cAAcqE,EAAE,UAAU,YAAY,EAAE,GAAGA,EAAE,UAAU,UAAUzC,EAAE,KAAK,iBAAiByC,EAAE,OAAOC,EAAE,EAAE,IAAIA,KAAK,KAAK,GAAG1C,EAAE,KAAK,qBAAqByC,EAAE,OAAO,EAAEzC,EAAE,KAAK,qBAAqByC,EAAE,OAAO,GAAG3C,EAAE,oBAAoB,CAAC,GAAG,CAAC,aAAa8D,CAAC,EAAEswE,GAAGp0E,EAAE,aAAa2C,EAAE,UAAU,aAAaA,EAAE,UAAU,QAAQ,EAAE,OAAOmB,EAAE,OAAO,CAAC,IAAK,GAAE5D,EAAE,KAAK,eAAeyC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,IAAK,GAAEzC,EAAE,KAAK,iBAAiByC,EAAE,YAAY,EAAE,MAAM,QAAQ,KAAK,CAACzC,EAAE,KAAK,iBAAiByC,EAAE,eAAe,CAAC,CAAC,CAAC,EAAE3C,EAAE,oBAAoB,CAAC,OAAO,EAAE,aAAa,OAAO,CAAC,IAAK,GAAEE,EAAE,KAAK,uBAAuB,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,8BAA8B,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,IAAK,GAAEA,EAAE,KAAK,yBAAyB,EAAEA,EAAE,KAAK,gCAAgC,EAAE,MAAM,QAAQ,KAAK,CAACA,EAAE,KAAK,4BAA4B,CAAC,CAACF,EAAE,gBAAgBA,EAAE,eAAe,QAAQ2C,GAAG,CAACzC,EAAE,KAAK,WAAWyC,EAAE,QAAQA,EAAE,OAAOA,EAAE,WAAW,IAAIA,EAAE,cAAc,KAAK,CAAC,CAAC,EAAE,IAAIxC,EAAED,EAAE,KAAK;AAAA,CACxsC,EAAE,EAAEJ,EAAE,IAAI6C,GAAG0xE,GAAI1xE,EAAE,EAAE3C,EAAE,aAAaA,EAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CACjE,EAAE,EAAE,EAAE,SAAS6B,EAAE6xE,GAAG,EAAE5xE,EAAEwyE,GAAIzyE,CAAC,EAAEE,EAAES,EAAEC,EAAE8xE,GAAI1yE,CAAC,EAAE,OAAO,EAAE,UAAUE,EAAEyyE,GAAI,EAAE,aAAa,EAAEx0E,EAAE,mBAAmB,EAAEwC,EAAEiyE,GAAI5yE,CAAC,IAAIE,EAAE2yE,GAAI,EAAE,aAAa,EAAE10E,EAAE,mBAAmB,EAAEwC,EAAEmyE,GAAI9yE,CAAC,GAAG7B,EAAE,eAAeyC,GAAGmyE,IAAK,CAACnyE,EAAEX,EAAEU,EAAErC,EAAE4B,EAAE,EAAE/B,EAAE,QAAQ,EAAE,KAAK;AAAA,CACvO,CAAC,CAAC,SAAS60E,GAAG/0E,EAAE,EAAE,GAAG,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAa,OAAOE,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO80E,GAAIh1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOi1E,GAAIj1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOk1E,GAAIl1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOm1E,GAAIn1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOo1E,GAAIp1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOq1E,GAAIr1E,CAAC,EAAE,IAAK,GAAE,OAAOs1E,GAAIt1E,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGE,EAAE,8CAA8C,CAAC,CAAC,CAAC,SAASq1E,GAAGv1E,EAAE,EAAE,CAAC,OAAOA,EAAE,UAAU,aAAa,OAAO,CAAC,IAAK,GAAE,OAAOw1E,GAAIx1E,CAAC,EAAE,IAAK,GAAE,OAAOy1E,GAAIz1E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO01E,GAAI11E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAO21E,GAAI31E,EAAE,CAAC,EAAE,QAAQ,OAAO41E,GAAI51E,EAAE,CAAC,CAAC,CAAC,CAAC,SAASu0E,GAAIv0E,EAAE,EAAEE,EAAE,GAAGE,EAAE,CAAC,IAAIC,EAAE,GAAGH,EAAEG,GAAGk1E,GAAGv1E,EAAEI,CAAC,EAAEC,GAAG00E,GAAG/0E,EAAEI,CAAC,EAAE,IAAI,EAAEJ,EAAE,UAAU,aAAa,EAAE,EAAE,aAAa,OAAO,EAAE,QAAQ,EAAE,SAASE,EAAEG,GAAGw1E,GAAI71E,EAAE,CAAC,EAAEK,GAAGy1E,GAAI91E,EAAE,CAAC,GAAGK,CAAC,CAAC,SAASq0E,GAAI10E,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO+1E,GAAG,EAAE,IAAK,GAAE,OAAOC,GAAIh2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAO+1E,GAAIj2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOg2E,GAAIl2E,EAAE,EAAEE,CAAC,EAAE,QAAQ,OAAOi2E,GAAIn2E,EAAE,EAAEE,CAAC,CAAC,CAAC,CAAC,SAAS00E,GAAI50E,EAAE,EAAEE,EAAE,CAAC,OAAOF,EAAE,OAAO,CAAC,IAAK,GAAE,OAAO+1E,GAAG,EAAE,IAAK,GAAE,OAAOK,GAAIp2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOm2E,GAAIr2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOo2E,GAAIt2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOq2E,GAAIv2E,EAAE,EAAEE,CAAC,EAAE,IAAK,GAAE,OAAOs2E,GAAIx2E,EAAE,CAAC,EAAE,IAAK,GAAE,OAAOy2E,GAAIz2E,EAAE,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,GAAGA,EAAE,+CAA+C,CAAC,CAAC,CAAC,SAASw0E,GAAIx0E,EAAE,CAAC,MAAM;AAAA;AAAA,eAE/jCA,EAAE;AAAA;AAAA,GAEd,CAAC,SAAS60E,GAAI70E,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAAS20E,GAAI30E,EAAE,CAAC,MAAM;AAAA;AAAA,QAElBA,EAAE;AAAA;AAAA,GAEP,CAAC,SAASy0E,GAAIz0E,EAAE,CAAC,MAAM,GAAGA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIzBA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBFA,EAAE;AAAA,MACFA,EAAE;AAAA,MACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBF02E;AAAA,MACAC;AAAA,MACAC;AAAA,GACH,CAAC,IAAIF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYVC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJ9B,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWJ,SAASiB,IAAI,CAAC,MAAM;AAAA;AAAA;AAAA;AAAA,GAInB,CAAC,SAASC,GAAIh2E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,OAAOA,EAAE,CAAC,IAAI,EAAEF,EAAE;AAAA;AAAA;AAAA;AAAA,MAIhF;AAAA;AAAA,sCAEgCE,EAAE,CAAC;AAAA;AAAA,MAEnCA,EAAE,CAAC,IAAI,EAAEF,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,sCAEgCE,EAAE,CAAC;AAAA;AAAA,MAEnCF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAOJ;AAAA;AAAA;AAAA,oCAGgCE,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA,iCACfA,EAAE,CAAC;AAAA;AAAA,GAEjC,CAAC,SAASg2E,GAAIp2E,EAAE,EAAEE,EAAE,CAAC,OAAO,EAAE,CAAC,IAAI,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIpC;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,MAE/B,EAAE,CAAC,IAAI,EAAEA,EAAE;AAAA;AAAA;AAAA;AAAA,MAIX;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,MAE/BA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,4BACpB,EAAE,CAAC;AAAA;AAAA,GAE5B,CAAC,SAASg2E,GAAIl2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAiB/B,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKL,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEK,EAAE,KAAK,KAAKL,EAAE,CAAC,EAAE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAG5DI,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA,iCACfA,EAAE,CAAC;AAAA;AAAA,wBAEZ;AAAA,qBACH;AAAA;AAAA,6BAEQC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASi2E,GAAIt2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7B4zE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE9zE,CAAC;AAAA;AAAA;AAAA,EAGtB,IAAII,EAAEyzE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,QAC5BI;AAAA;AAAA;AAAA,GAGL,CAAC,SAAS+1E,GAAIn2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAsB/B,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAK,KAAKL,EAAEA,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,EAAEK,EAAE,KAAK,KAAKL,EAAEA,EAAE,OAAO,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE+B,EAAE,GAAGC,EAAE,UAAU,QAAQC,EAAE,EAAEA,EAAEjC,EAAE,OAAO,EAAEiC,IAAI,GAAGjC,EAAEA,EAAE,OAAOiC,EAAE,CAAC,EAAEF,EAAE;AAAA,aACtKE,eAAe;AAAA,kBACVA,OAAO;AAAA,MACnBF,EAAEC,EAAE,IAAIC,MAAMD,EAAE,MAAM;AAAA,UAClBhC,EAAE;AAAA;AAAA,oCAEwBI,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA,iCACfA,EAAE,CAAC;AAAA;AAAA,QAE5B2B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ1B;AAAA,4BACDA;AAAA;AAAA,mBAETL,EAAE,UAAUgC;AAAA;AAAA,GAE5B,CAAC,SAASu0E,GAAIv2E,EAAE,EAAEE,EAAE,CAAC,GAAGA,EAAE,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK3B4zE,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE9zE,CAAC;AAAA;AAAA;AAAA,IAG3B,IAAII,EAAEyzE,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA,QAC5BI;AAAA;AAAA;AAAA,GAGL,CAAC,SAASo2E,GAAIx2E,EAAE,EAAE,CAAC,IAAIE,EAAE2zE,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA,kDAEd,EAAE,CAAC;AAAA,+BACtB,EAAE,CAAC;AAAA;AAAA,iCAED,EAAE,CAAC;AAAA;AAAA,QAE5BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAASu2E,GAAIz2E,EAAE,EAAE,CAAC,IAAIE,EAAE2zE,GAAG,CAAC,IAAI,IAAI,IAAI,KAAK,KAAK,IAAI,EAAE7zE,CAAC,EAAE,MAAM;AAAA;AAAA;AAAA,eAGtD,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA;AAAA,QAE5BE;AAAA;AAAA;AAAA;AAAA;AAAA,GAKL,CAAC,SAAS+1E,GAAIj2E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,GAAG5B,EAAE,YAAYwB,EAAE,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAK7F;AAAA;AAAA,8CAEwCE,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA;AAAA,MAEpD,IAAIC,EAAE,KAAK,KAAKL,EAAE,CAAC,EAAE,CAAC,EAAE,OAAOE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAanC;AAAA;AAAA;AAAA,oCAGgCE,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA;AAAA,iCAEfA,EAAE,CAAC;AAAA,6BACPC;AAAA,4BACDA;AAAA;AAAA;AAAA;AAAA,GAIzB,CAAC,SAASg2E,GAAIr2E,EAAE,EAAEE,EAAE,CAAC,OAAO1B,EAAE,YAAYwB,EAAE,CAAC,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA,MAI9C;AAAA;AAAA,0CAEoC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA,MAEhDF,EAAE,CAAC,IAAI,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,MAGhCF,EAAE,CAAC,IAAI,EAAEE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,MAGhCA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,wBACZF,EAAE,CAAC;AAAA,4BACCA,EAAE,CAAC;AAAA;AAAA;AAAA,GAG5B,CAAC,SAAS62E,GAAG72E,EAAE,CAAC,MAAM,SAASA,GAAG,CAAC,SAASw1E,GAAIx1E,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,EAAEE,EAAEwzE,GAAG,EAAE,MAAM;AAAA,WAClH1zE;AAAA,eACIE,EAAE,aAAa;AAAA;AAAA,GAE3B,CAAC,SAAS40E,GAAIh1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM,SAASI,eAAeF,MAAM,GAAG,CAACG,EAAE,CAAC,EAAEL,EAAE,UAAU,SAAS,GAAGK,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACnLD;AAAA,+BACiBF;AAAA;AAAA,MAEzB,IAAI,EAAE22E,GAAG32E,CAAC,EAAE,GAAG,EAAE,MAAM;AAAA,YACjBE;AAAA,6BACiBF,iBAAiBA,iBAAiB;AAAA,6BAClCA;AAAA;AAAA,IAEzB,GAAG,CAAC6B,EAAEC,CAAC,EAAEhC,EAAE,UAAU,SAAS,MAAM;AAAA,YAC5BI;AAAA,6BACiB2B,MAAMC,MAAM;AAAA,6BACZ9B;AAAA;AAAA,GAE1B,CAAC,SAASu1E,GAAIz1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAEL,EAAE,UAAU,SAAS,EAAE4zE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WAC9GxzE;AAAA,gDACqCF,oCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA,IAE1B,IAAI,EAAE,CAAC,KAAK,KAAKG,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM;AAAA,WAC3CD;AAAA;AAAA,UAED,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,eACP,EAAE,aAAaF;AAAA;AAAA,GAE3B,CAAC,SAAS+0E,GAAIj1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,GAAGF,EAAE,UAAU,UAAU,MAAM;AAAA,cACjGI;AAAA,UACJ02E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAIK,EAAEL,EAAE,UAAU,SAAS,EAAEK,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,GAAG,IAAI,GAAG,IAAI,EAAE,MAAM;AAAA,cACvDD;AAAA,+BACiBF;AAAA;AAAA,MAEzB,IAAI6B,EAAE80E,GAAG32E,CAAC,EAAE,OAAO,IAAI,EAAE,EAAE;AAAA,cACnBE;AAAA,6CAC+B2B,qBAAqB7B;AAAA,+BACnCA;AAAA;AAAA,MAEzB;AAAA,cACQE;AAAA,6CAC+B2B,eAAe;AAAA,+BAC7B7B;AAAA;AAAA,MAEzB,IAAI,EAAE,EAAE;AAAA,cACAE;AAAA,wCAC0B2B,qBAAqB7B;AAAA,+BAC9BA;AAAA;AAAA,MAEzB;AAAA,cACQE;AAAA,wCAC0B2B,eAAe;AAAA,+BACxB7B;AAAA;AAAA,MAEzB,EAAE;AAAA,YACIE;AAAA,6BACiBF,iBAAiBA,yBAAyB6B;AAAA,6BAC1C7B;AAAA;AAAA,IAEzB;AAAA,YACQE;AAAA,6BACiB,MAAM,cAAc2B;AAAA,6BACpB7B;AAAA;AAAA,GAE1B,CAAC,SAASw1E,GAAI11E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,EAAE,EAAE,CAAC,EAAE+B,EAAE,EAAE,CAAC,EAAEC,EAAE4xE,GAAG,EAAE,GAAG,GAAG,MAAMp1E,EAAE,YAAY0B,EAAE,CAAC,EAAE,OAAO,EAAE;AAAA,aAClLG;AAAA,qDACwCD,iBAAiBA;AAAA;AAAA,iBAErD4B,EAAE,aAAa5B;AAAA;AAAA,MAE1B;AAAA,aACOC;AAAA,qDACwC0B,QAAQ;AAAA;AAAA,iBAE5CC,EAAE,aAAa5B;AAAA;AAAA,MAE1B,GAAG,EAAE,MAAM;AAAA,WACNC;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA;AAAA,eAE3B4B,EAAE,aAAa5B;AAAA;AAAA,IAE1B,IAAI6B,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAES,EAAE,KAAK,KAAKxC,EAAE,CAAC,EAAE,CAAC,EAAE,MAAM;AAAA,WAC/DG;AAAA,iCACsBqC,MAAMT,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA,eACpCD,EAAE,aAAa5B;AAAA;AAAA,GAE3B,CAAC,SAAS80E,GAAIl1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,GAAG,GAAG,MAAMxB,EAAE,YAAY0B,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,MAAM;AAAA,cAC/JG;AAAA,qDACuCD,iBAAiBA;AAAA,+BACvCA;AAAA;AAAA,MAEzB,IAAIwC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,CAAC,EAAE,MAAM;AAAA,YAClBxC;AAAA,mDACuCwC,QAAQD;AAAA,6BAC9BxC;AAAA;AAAA,GAE1B,CAAC,GAAG,CAAC,SAAS,EAAE,SAAS2B,CAAC,EAAEvD,EAAE,aAAa0B,CAAC,EAAE8B,EAAE,EAAE,GAAGA,EAAE,OAAO9B,EAAE,OAAO,CAAC,IAAI0C,EAAEm0E,GAAG/2E,EAAEgC,CAAC,EAAEa,EAAE,CAAC,MAAM,KAAK,EAAE,MAAM;AAAA,QACvGkyE,GAAGnyE,EAAE,CAAC;AAAA,cACAvC;AAAA,iBACGA,KAAK22E,GAAGn0E,EAAEd,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAG/B,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBK;AAAA,qDACuCH,EAAE,CAAC;AAAA,UAC9C42E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAIiC,EAAE,EAAE,CAAC,EAAES,EAAE,EAAE,CAAC,EAAEC,EAAEk0E,GAAGz2E,CAAC,EAAE,OAAOsC,IAAI,EAAE,EAAE;AAAA,cACjCrC;AAAA,2CAC6BsC,YAAYvC;AAAA,oDACHA;AAAA,+BACrBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAYzC,EAAE,CAAC;AAAA,4CACZ+B;AAAA,6BACf7B;AAAA;AAAA,IAEzB6B,IAAI,EAAE,EAAE;AAAA,cACE5B;AAAA,2CAC6BsC,YAAYvC;AAAA,+CACRA;AAAA,+BAChBA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,yCAC6BsC,YAAYzC,EAAE,CAAC;AAAA,uCACjBwC;AAAA,6BACVtC;AAAA;AAAA,IAEzB,EAAE;AAAA,cACQC;AAAA;AAAA,4BAEcD,qBAAqBuC;AAAA,+BAClBvC,iBAAiBA;AAAA,+BACjBA;AAAA;AAAA,MAEzB;AAAA,UACIC;AAAA;AAAA,wBAEcH,EAAE,CAAC,aAAayC;AAAA,2BACbV,MAAMS;AAAA,2BACNtC;AAAA;AAAA,CAE1B,CAAC,SAASu1E,GAAI31E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEJ,EAAE,UAAU,SAAS,EAAE,CAAC,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,GAAGE,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,MAAM,CAAC,EAAE2C,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAEi0E,GAAG/2E,EAAE4C,CAAC,EAAEoB,EAAE,CAAC,IAAI,MAAM,KAAK,EAAE,MAAM;AAAA,UACxOuxE,GAAGzyE,EAAE,CAAC;AAAA,eACDzC;AAAA,mBACIA,KAAK22E,GAAGhzE,EAAEnB,CAAC;AAAA;AAAA,OAEvB,CAAC,IAAId,EAAE6xE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACnBvzE;AAAA,gDACqCD,oCAAoCA;AAAA,0CAC1CA;AAAA,0DACgBA;AAAA;AAAA;AAAA,eAG3C2B,EAAE,aAAa3B;AAAA;AAAA,IAE1B,IAAI4B,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,CAAC,EAAES,EAAE,KAAK,KAAKxC,EAAE,CAAC,EAAE,CAAC,EAAEyC,EAAED,EAAE,KAAK,KAAKxC,EAAE,CAAC,EAAE,CAAC,EAAE,MAAM;AAAA,WAC3DG;AAAA;AAAA,UAED2B,MAAMC,MAAMU,MAAMD;AAAA,eACbX,EAAE,aAAa3B;AAAA;AAAA,GAE3B,CAAC,SAAS+0E,GAAIn1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,CAAC,SAAS6B,EAAE,SAASC,CAAC,EAAExD,EAAE,aAAa0B,CAAC,EAAE+B,EAAEF,EAAE,GAAGE,EAAE,OAAO/B,EAAE,OAAO,CAAC,IAAI8D,EAAE+yE,GAAG/2E,EAAEiC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,OAAO,EAAE,MAAM;AAAA,UACpO8yE,GAAG/wE,EAAE,CAAC;AAAA,gBACA3D;AAAA,mBACGA,KAAK22E,GAAG,EAAEh1E,CAAC;AAAA;AAAA,OAEvB,CAAC,GAAGhC,EAAE,UAAU,UAAU,MAAM;AAAA,cACzBK;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7By2E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,SAAS2C,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEG,EAAE7C,EAAE,UAAU,WAAW,GAAG4C,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrFxC;AAAA,wBACUD;AAAA;AAAA;AAAA;AAAA,0BAIEA,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,gBACUC;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExBuC,QAAQD;AAAA,iCACHvC;AAAA;AAAA,QAEzB,GAAGwC,IAAI,GAAGC,GAAG,KAAK,OAAO,EAAE;AAAA,cACrBxC;AAAA,gDACkCD;AAAA;AAAA,uDAEOA,iBAAiBA;AAAA,+BACzCA;AAAA;AAAA,MAEzB;AAAA,YACMC;AAAA,8CACkCH,EAAE,CAAC;AAAA;AAAA,qDAEI0C,QAAQD;AAAA,6BAChCvC;AAAA;AAAA,IAEzB,IAAI0C,EAAE+zE,GAAGz2E,CAAC,EAAE,OAAO,EAAE;AAAA,YACbC;AAAA;AAAA,sBAEUD,eAAeA;AAAA,sBACfA;AAAA,4DACsC0C;AAAA,6BAC/B1C,iBAAiBA;AAAA,6BACjBA;AAAA;AAAA,MAEvB;AAAA,cACQC;AAAA;AAAA,4BAEc,aAAa,eAAeyC;AAAA,+BACzBH,MAAMC;AAAA,+BACNxC;AAAA;AAAA,GAE5B,CAAC,SAASw1E,GAAI51E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAEuzE,GAAG,EAAE,GAAG,EAAE,MAAM;AAAA,WACvFxzE;AAAA,0CAC+BF;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,oCAAoCA;AAAA;AAAA;AAAA,mGAGeG,EAAE,aAAaH;AAAA;AAAA,IAE9G,IAAI,EAAEF,EAAE,UAAU,aAAa,EAAE,EAAE,OAAO+B,EAAE/B,EAAE,UAAU,SAASgC,EAAE,CAAC,KAAK,KAAKD,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEE,EAAED,EAAE,CAAC,EAAEU,EAAEV,EAAE,CAAC,EAAEW,EAAE,KAAK,KAAK,EAAE,EAAE,CAAC,EAAE,CAAC,EAAEC,EAAED,EAAE,KAAK,KAAK,EAAE,EAAE,CAAC,EAAE,CAAC,EAAEE,EAAE,0BAA0BC,EAAE,OAAOF,mBAAmBD,gBAAgB,QAAQqB,EAAE,EAAEA,EAAE,EAAE,EAAEA,IAAInB,EAAE,QAAQmB,MAAMnB,EAAED,GAAG,EAAE,EAAEoB,EAAE,CAAC,EAAElB,EAAE,IAAIkB,OAAOpB,OAAOE,EAAE,MAAM;AAAA,WACtT1C,KAAKyC;AAAA,oBACIC;AAAA,2BACOJ;AAAA,kCACOA;AAAA,qDACmBA,MAAMT;AAAA,eAC5C5B,EAAE,aAAaH;AAAA;AAAA,GAE3B,CAAC,SAASk1E,GAAIp1E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,UAAU,aAAaI,EAAEJ,EAAE,KAAKK,EAAE,MAAMD,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAEF,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAE6B,EAAE7B,EAAE,CAAC,EAAE,EAAE,CAAC,SAAS8B,EAAE,SAASC,CAAC,EAAEzD,EAAE,aAAa0B,CAAC,EAAE,GAAG8B,EAAE,OAAO9B,EAAE,OAAO,CAAC,IAAI,EAAE62E,GAAG/2E,EAAEgC,CAAC,EAAEyC,EAAE,CAAC,MAAM,MAAM,QAAQ,QAAQ,EAAE,MAAM;AAAA,QACjPswE,GAAG,EAAE,CAAC;AAAA,cACA10E;AAAA,iBACGA,KAAK22E,GAAGvyE,EAAExC,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBK;AAAA;AAAA,iCAEmB0B,MAAM,MAAM;AAAA,UACnC+0E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,WAAW2C,EAAE3C,EAAE,UAAU,SAAS4C,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAEG,EAAE,iBAAiB1C,aAAa4D,EAAE,iBAAiB5D,uBAAuB,EAAE,iBAAiBA,uBAAuB,GAAGyC,IAAId,GAAGW,GAAG,KAAK,OAAO,EAAE;AAAA,cACzMrC;AAAA,UACJyC;AAAA,UACAkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB5D,iBAAiBA;AAAA,+BACZA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEHwC,QAAQD;AAAA,+BACHxC;AAAA;AAAA,MAEzB,GAAGyC,IAAI,GAAGH,GAAG,KAAK,OAAO,EAAE;AAAA,cACnBrC;AAAA;AAAA,gCAEkBD,eAAeA,cAAcA;AAAA;AAAA;AAAA,yBAGpCA,iBAAiBA;AAAA,+BACXA;AAAA;AAAA,MAEzB;AAAA,cACQC;AAAA;AAAA,gCAEkBH,EAAE,CAAC,EAAEA,EAAE,CAAC,MAAMA,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGxB2C,QAAQD;AAAA,+BACFxC;AAAA;AAAA,MAEzB,IAAIkH,EAAEuvE,GAAGz2E,CAAC,EAAE,OAAO,EAAE;AAAA,YACfC;AAAA;AAAA,QAEJyC;AAAA,QACAkB;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB5D,iBAAiBA,yBAAyBkH;AAAA,6BAC1ClH;AAAA;AAAA,IAEzB;AAAA,YACQC;AAAA;AAAA,0BAEc0B,aAAa;AAAA,oBACnB;AAAA,6BACSa,MAAMC,cAAcyE;AAAA,6BACpBlH;AAAA;AAAA,GAE1B,CAAC,SAASi1E,GAAIr1E,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAEA,EAAE,EAAE,EAAE,CAAC,EAAE,EAAE0B,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,SAASC,EAAE,SAASC,CAAC,EAAEzD,EAAE,aAAa,CAAC,EAAE,GAAGwD,EAAE,OAAO,EAAE,OAAO,CAAC,IAAIgC,EAAE+yE,GAAG/2E,EAAEgC,CAAC,EAAE,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,QAAQ,EAAE,MAAM;AAAA,QACjQ+yE,GAAG/wE,CAAC;AAAA,cACE5D;AAAA,iBACGA,KAAK42E,GAAG,EAAE/0E,CAAC;AAAA;AAAA,KAEvB,CAAC,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACvBI;AAAA;AAAA;AAAA,iBAGG2B,MAAM,MAAM,MAAM1B;AAAA;AAAA,UAEzBy2E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI0C,EAAE1C,EAAE,UAAU,WAAW2C,EAAE3C,EAAE,UAAU,SAAS4C,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAE,GAAGE,IAAId,GAAGW,GAAG,KAAK,MAAM;AAAA,cAClFtC;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAMC;AAAA;AAAA,0BAElBwC,QAAQD;AAAA,+BACH1C;AAAA;AAAA,MAEzB,GAAG2C,IAAIxC,GAAGqC,GAAG,KAAK,MAAM;AAAA,cAChBtC;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGTyC,QAAQD;AAAA,+BACF1C;AAAA;AAAA,MAEzB,IAAI4C,EAAE+zE,GAAG32E,CAAC,EAAE,MAAM;AAAA,YACZE;AAAA;AAAA,0BAEc2B,aAAa,eAAe;AAAA,qBACjC1B,gBAAgByC;AAAA,6BACRF,MAAMC;AAAA,6BACN3C;AAAA;AAAA,GAE1B,CAAC,SAASo1E,GAAIt1E,EAAE,CAAC,IAAI,EAAEA,EAAE,UAAU,aAAaE,EAAEF,EAAE,KAAKI,EAAE,MAAMF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAE,CAAC,SAASG,EAAE,SAAS,CAAC,EAAE7B,EAAE,aAAa,CAAC,EAAE,GAAG6B,EAAE,OAAO,EAAE,OAAO,CAAC,IAAI,EAAE02E,GAAG/2E,EAAEK,CAAC,EAAEiH,EAAE,CAAC,MAAM,MAAM,QAAQ,SAAS,SAAS,QAAQ,EAAE,MAAM;AAAA,QACxOytE,GAAG,CAAC;AAAA,cACE30E;AAAA;AAAA,iBAEGA,KAAK42E,GAAG1vE,EAAE,CAAC;AAAA;AAAA,KAEvB,CAAC,IAAI,EAAE,EAAE,CAAC,EAAEvF,EAAE,EAAE,CAAC,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAED,EAAEE,EAAE,EAAE,CAAC,EAAED,EAAEU,EAAE,EAAE,CAAC,EAAET,EAAE,GAAGjC,EAAE,UAAU,UAAU,MAAM;AAAA,cACtEI;AAAA;AAAA;AAAA;AAAA,iBAIGsC,MAAMT,MAAMD,MAAMD;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACT+0E,GAAG92E,CAAC;AAAA;AAAA,MAER,IAAI2C,EAAE3C,EAAE,UAAU,WAAW4C,EAAE5C,EAAE,UAAU,SAAS6C,EAAED,EAAE,CAAC,EAAEE,EAAEF,EAAE,CAAC,EAAE,GAAGE,IAAIJ,GAAGC,GAAG,KAAK,MAAM;AAAA,cAClFvC;AAAA;AAAA;AAAA;AAAA,iBAIG6B,MAAMD,MAAMD,MAAM;AAAA;AAAA;AAAA,0BAGTe,QAAQD;AAAA,+BACH3C;AAAA;AAAA,MAEzB,GAAG4C,IAAI,GAAGH,GAAG,KAAK,MAAM;AAAA,cAChBvC;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,iBAClB,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,iBACR,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGK0C,QAAQD;AAAA,+BACF3C;AAAA;AAAA,MAEzB,IAAI8D,EAAE6yE,GAAG32E,CAAC,EAAE,MAAM;AAAA,YACZE;AAAA;AAAA;AAAA,0BAGcsC,aAAaT,eAAeD;AAAA,qBACjCD,gBAAgB,gBAAgBiC;AAAA,6BACxBnB,MAAMC;AAAA,6BACN5C;AAAA;AAAA,GAE1B,CAAC,SAAS42E,GAAG92E,EAAE,CAAC,IAAI,EAAEA,EAAE,KAAKE,EAAE1B,EAAE,cAAcwB,EAAE,UAAU,YAAY,EAAE,OAAOE,EAAE,EAAE,UAAU,KAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA,GAGd,CAAC,SAAS21E,GAAI71E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAEF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,MAAMD,EAAE,cAAc,EAAEJ,EAAE,UAAU,aAAa,OAAO,EAAE,EAAE,aAAa,OAAO+B,EAAEqyE,GAAGp0E,EAAE,UAAU,aAAa,EAAE,YAAY,EAAEgC,EAAEi1E,GAAG,CAAC,EAAEh1E,EAAE,EAAE,EAAES,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,IAAI,EAAED,EAAE,GAAG,EAAE,GAAGX,EAAE,QAAQ,EAAEW,EAAE,cAAcA,EAAEX,EAAE,IAAI+C,GAAG,UAAUnC,EAAEmC,EAAE7C,CAAC,QAAQ,EAAE,KAAK;AAAA,CAC1U,EAAE,IAAIW,EAAE,GAAG,EAAE,GAAG,EAAE,EAAEA,EAAE,SAASA,EAAE5C,EAAE,UAAU,aAAa,IAAI,CAAC8E,EAAEL,IAAI,UAAU9B,EAAE8B,EAAExC,CAAC,GAAG,EAAE,KAAK,IAAI,EAAE,IAAIY,EAAE,sBAAsBmB,EAAExF,EAAE,cAAcwB,EAAE,UAAU,YAAY,IAAI,EAAEsH,EAAE9I,EAAE,cAAc,EAAE,YAAY,IAAI,EAAE,GAAG,IAAI,GAAG,CAACwF,GAAG,CAACsD,EAAEzE,EAAE;AAAA;AAAA,cAE5NmB,GAAG,CAACsD,EAAE,IAAI,EAAEzE,EAAE;AAAA;AAAA,QAEpBA,EAAE;AAAA;AAAA,gBAEMd,EAAE,OAAO,CAAC,IAAI+C,EAAE,EAAE,EAAEL,EAAE,EAAE,EAAE1C,EAAE,QAAQ+C,CAAC,EAAE,IAAI/C,EAAE,QAAQ0C,CAAC,EAAE,GAAG5B,EAAE,8BAA8Bd,EAAE,QAAQ+C,CAAC,EAAE,GAAGjC,EAAE,2EAA2Ed,EAAE,QAAQ0C,CAAC,EAAE,KAAK5B,EAAE,+CAA+C,CAAC,MAAM;AAAA,WACvQxC;AAAA,QACH2B;AAAA,QACAU;AAAA,8BACsBtC,KAAKwC;AAAA,QAC3BC;AAAA;AAAA,GAEL,CAAC,SAASizE,GAAI91E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,KAAKI,EAAEF,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEG,EAAE,MAAMD,EAAE,cAAc,EAAE,EAAE,SAAS,EAAEJ,EAAE,UAAU,SAAS+B,EAAE/B,EAAE,UAAU,aAAa,OAAOgC,EAAE,EAAE,aAAa,OAAO,GAAG,CAAChC,EAAE,UAAU,WAAW+B,IAAIC,GAAGhC,EAAE,UAAU,YAAY,MAAMxB,EAAE,YAAY,EAAE,CAAC,EAAE,MAAM;AAAA,cAC3Q6B;AAAA,+BACiBH;AAAA;AAAA,MAEzB,IAAI+B,EAAEg1E,GAAGj1E,CAAC,EAAEU,EAAE0xE,GAAGp0E,EAAE,UAAU,aAAa,EAAE,YAAY,EAAE2C,EAAEX,EAAED,EAAEa,EAAEC,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAEd,IAAI,EAAEa,EAAE,GAAGZ,EAAE,GAAGU,EAAE,QAAQ,EAAEE,EAAE,cAAcA,EAAEF,EAAE,IAAIsB,GAAG,UAAUnB,EAAEmB,EAAErB,CAAC,QAAQ,EAAE,KAAK;AAAA,CACxL,EAAE,IAAIG,EAAE,GAAG,OAAOd,EAAE,GAAGD,EAAE,EAAEe,EAAE,SAASA,EAAE9C,EAAE,UAAU,aAAa,IAAI,CAACgE,EAAE,IAAI,UAAUnB,EAAE,EAAEF,CAAC,GAAG,EAAE,KAAK,IAAI,EAAE;AAAA,YAChGtC;AAAA,QACJ4B;AAAA,QACAW;AAAA,kBACUxC,KAAK0C;AAAA;AAAA,GAEpB,CAAC,SAASm0E,GAAGj3E,EAAE,CAAC,GAAGA,GAAG,EAAE,MAAM,MAAM,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,GAAGA,IAAI,EAAE,MAAM,QAAQ,MAAM,MAAM,gBAAgBA,wBAAwB,CAAC,CAAC,SAASs0E,GAAGt0E,EAAE,EAAEE,EAAE,CAAC,GAAG,CAAC,SAASE,EAAE,SAASC,CAAC,EAAE7B,EAAE,aAAa,CAAC,EAAE,EAAE,EAAE,OAAO,EAAEwB,GAAG,IAAI,GAAG,EAAE,CAAC,IAAI,EAAE+B,EAAE,EAAE,EAAE,MAAM,CAAC,EAAE3B,EAAE4B,EAAE,CAAChC,GAAG,EAAE,GAAG,CAACxB,EAAE,YAAY,EAAE0B,CAAC,GAAGE,EAAE,OAAO,GAAG,EAAE,MAAM,CAAC,gBAAgB4B,EAAE,aAAaA,EAAED,EAAE,EAAE,SAAS1B,CAAC,CAAC,CAAC,SAAS02E,GAAG/2E,EAAE,EAAE,CAAC,IAAIE,EAAE,KAAK,MAAM,KAAK,UAAUF,CAAC,CAAC,EAAE,OAAOE,EAAE,UAAU,aAAa,EAAEA,CAAC,CAAC,SAAS82E,GAAGh3E,EAAE,EAAE,CAAC,OAAO,EAAE,IAAIE,GAAGF,EAAEE,CAAC,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,SAASg3E,GAAGl3E,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEH,EAAE,IAAI,CAACwC,EAAEC,IAAI,CAAC,IAAIC,EAAE,CAAC,aAAaF,EAAE,MAAM,SAASA,EAAE,UAAU,KAAKA,EAAE,QAAQ,SAAS,UAAUA,EAAE,UAAU,SAASA,EAAE,UAAU,GAAGA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE,OAAOA,EAAE,SAAS,MAAMA,EAAE,QAAQ,OAAO,MAAMA,EAAE,QAAQ,MAAM,WAAW,IAAIE,EAAE,WAAWF,EAAE,QAAQ,MAAM,YAAY,CAAC,KAAK,EAAE,cAAcC,CAAC,EAAE,UAAUC,CAAC,CAAC,CAAC,EAAE,EAAEvC,EAAE,IAAIqC,GAAGA,EAAE,SAAS,EAAE,EAAE,CAAC,aAAatC,EAAE,MAAM,SAASA,EAAE,QAAQ,SAAS,UAAU,GAAG,SAASA,EAAE,QAAQ,SAAS,WAAW,IAAI,EAAE2B,EAAEsyE,GAAGh0E,EAAE,EAAE,CAAC,EAAE2B,EAAE+tE,GAAG/vE,EAAE,GAAG+B,CAAC,EAAEE,EAAEjC,EAAE,cAAcgC,CAAC,EAAE,OAAOpQ,EAAE,EAAE,IAAI,qBAAqB,EAAE,CAAC,QAAQ,EAAE,eAAeoQ,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,EAAE,iBAAiB,KAAK,uBAAuB,KAAK,OAAO,KAAK,OAAO,KAAK,kBAAkB,KAAK,qBAAqB,KAAK,iBAAiB,KAAK,wBAAwB,KAAK,oBAAoB,IAAI,EAAE,OAAO,OAAO,CAAC,QAAQ,EAAE,eAAeD,EAAE,OAAOD,EAAE,aAAaE,EAAE,aAAa,EAAE,aAAa,CAAC,EAAEk1E,GAAGn3E,EAAE,EAAEiC,CAAC,CAAC,CAAC,CAAC,SAASk1E,GAAGn3E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE0B,EAAEC,EAAEC,EAAES,EAAE,KAAKC,EAAE,KAAKA,EAAE3C,EAAE,mBAAmBE,EAAE,MAAM,EAAE,EAAEtO,EAAE,EAAE,UAAU,eAAe,IAAI,IAAI8Q,EAAE1C,EAAE,mBAAmBE,EAAE,WAAW,EAAE,GAAG,IAAI0C,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,cAAc,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAE,cAAcD,CAAC,EAAEzC,EAAE0C,CAAC,EAAE9C,EAAE,mBAAmBE,EAAE4C,EAAEF,CAAC,EAAExC,EAAE,SAAS0C,GAAG,EAAE9C,EAAE,mBAAmBE,EAAE,SAAS4C,IAAIF,CAAC,EAAE,EAAE,sBAAsBvC,EAAE,GAAGyC,QAAQ,EAAE9C,EAAE,mBAAmBE,EAAE,GAAG4C,SAASF,CAAC,EAAE,EAAE,GAAGE,WAAW,EAAE9C,EAAE,mBAAmBE,EAAE,GAAG4C,YAAYF,CAAC,EAAE,CAAC,OAAO,EAAE,sBAAsBb,EAAE/B,EAAE,mBAAmBE,EAAE,WAAW0C,CAAC,EAAEX,EAAEjC,EAAE,mBAAmBE,EAAE,kBAAkB0C,CAAC,EAAEZ,EAAEhC,EAAE,mBAAmBE,EAAE,cAAc0C,CAAC,GAAG,EAAE,gBAAgB,EAAE,eAAe,QAAQ,CAACC,EAAEC,IAAI,CAAC,EAAEA,CAAC,EAAE9C,EAAE,mBAAmBE,EAAE2C,EAAE,KAAKD,CAAC,CAAC,CAAC,EAAE,CAAC,iBAAiBxC,EAAE,uBAAuB,EAAE,OAAOsC,EAAE,OAAOC,EAAE,kBAAkBtC,EAAE,qBAAqB,EAAE,iBAAiB0B,EAAE,wBAAwBE,EAAE,oBAAoBD,CAAC,CAAC,CAAC,SAASo1E,GAAGp3E,EAAE,EAAE,CAAC,GAAGA,EAAE,SAAS,EAAE,OAAO,MAAM,MAAM,4BAA4BA,EAAE,wCAAwC,EAAE,eAAe,EAAEA,EAAE,QAAQ,CAACE,EAAEE,IAAI,CAAC,IAAIC,EAAEH,EAAE,aAAa,EAAE,EAAEE,CAAC,EAAE,EAAE,EAAE,MAAM,GAAG,CAAC5B,EAAE,YAAY6B,EAAE,CAAC,EAAE,MAAM,MAAM,2EAA2EA,SAAS,cAAc,EAAE,GAAGH,EAAE,WAAW,EAAE,UAAU,OAAO,IAAI6B,EAAE7B,EAAE,SAAS8B,EAAE,EAAE,UAAU,KAAK,EAAE,QAAQ,SAAS,GAAG,CAACxD,EAAE,YAAYuD,EAAEC,CAAC,EAAE,MAAM,MAAM,kFAAkFD,SAASC,cAAc,CAAC,CAAC,CAAC,CAAC,SAASq1E,GAAGr3E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,EAAE,QAAQ,sBAAsB+2E,GAAG,EAAE,aAAal3E,CAAC,EAAEk3E,GAAG,CAAC,EAAE,YAAY,EAAE,CAACh3E,CAAC,CAAC,GAAG,IAAI,EAAEA,EAAE,QAAQ,QAAQ,EAAEA,EAAE,QAAQ,SAASA,EAAE,QAAQ,SAASJ,EAAE,6BAA6B,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,uBAAuB,EAAE,QAAQ,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,EAAEA,EAAE,WAAW,EAAE,YAAY,EAAEpO,EAAE,EAAE,UAAU,eAAe,IAAI,GAAG,EAAE,SAAS,MAAMoO,EAAE,GAAG,UAAU,EAAE,OAAO,EAAE,CAAC,EAAE,EAAE,SAAS,MAAMA,EAAE,GAAG,UAAU,EAAE,OAAO,GAAG,EAAEE,EAAE,QAAQ,CAAC8B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,QAAQ,cAAcT,CAAC,EAAEU,EAAE,EAAE,iBAAiBD,CAAC,EAAEE,EAAE,EAAE,iBAAiB,SAASF,GAAG,EAAEG,EAAE,EAAE,kBAAkB,GAAGH,QAAQ,EAAEI,EAAE,EAAE,qBAAqB,GAAGJ,WAAW,EAAE,GAAGG,EAAE,CAAC,GAAG,CAAC,aAAamB,CAAC,EAAEswE,GAAG,EAAE,QAAQ,aAAatyE,EAAE,MAAMA,EAAE,QAAQ,QAAQ,EAAE,OAAOgC,EAAE,OAAO,CAAC,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhE,EAAE,GAAG,WAAW6C,EAAE,IAAI,WAAWmB,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,GAAGlB,GAAG9C,EAAE,GAAG,UAAU8C,EAAEd,EAAE,QAAQ,SAAS,CAAC,EAAEA,EAAE,QAAQ,SAAS,CAAC,CAAC,EAAEW,GAAG,KAAK,CAAC,GAAGX,EAAE,UAAU,CAAC,GAAGxD,EAAE,cAAcwD,EAAE,KAAK,EAAE,EAAEhC,EAAE,GAAG,UAAU2C,EAAEX,EAAE,cAAc,CAAC,CAAC,MAAM,CAAC,IAAIgC,EAAEhC,EAAE,cAAcgC,aAAa,eAAeA,EAAE,IAAI,aAAaA,CAAC,GAAGhE,EAAE,GAAG,WAAW2C,EAAEqB,CAAC,CAAC,CAAC,MAAM,CAAChC,EAAE,QAAQ,OAAO,MAAMY,GAAG,MAAM5C,EAAE,GAAG,UAAU4C,EAAEZ,EAAE,QAAQ,MAAM,UAAU,EAAEhC,EAAE,sBAAsBgC,EAAE,QAAQ,QAAQ,QAAQW,EAAEV,CAAC,CAAC,CAAC,CAAC,EAAE,IAAIF,EAAE,EAAE,iBAAiB,GAAGA,EAAE,OAAO3B,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,IAAK,GAAEJ,EAAE,GAAG,WAAW+B,EAAE,IAAI,WAAW3B,EAAE,KAAK,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,GAAG,EAAE,wBAAwB,CAAC,IAAI4B,EAAExD,EAAE,eAAe4B,EAAE,KAAK,EAAE,OAAOA,EAAE,MAAM,OAAO,CAAC,IAAK,GAAEJ,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEhC,EAAE,GAAG,WAAW,EAAE,wBAAwB,IAAI,WAAWgC,CAAC,CAAC,EAAE,MAAM,QAAQ,KAAK,CAAC,CAAC,EAAE,qBAAqBhC,EAAE,GAAG,UAAU,EAAE,oBAAoBI,EAAE,QAAQ,SAAS,CAAC,EAAEA,EAAE,QAAQ,SAAS,CAAC,CAAC,EAAE,EAAE,QAAQ,gBAAgBC,GAAG,EAAE,QAAQ,eAAe,QAAQ,CAAC2B,EAAEC,IAAI,CAAC,IAAIS,EAAE,EAAE,uBAAuBT,CAAC,EAAEU,EAAEtC,EAAE4B,CAAC,EAAE,GAAGD,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,OAAOhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,MAAMhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,UAAUX,EAAE,OAAO,QAAQhC,EAAE,GAAG,WAAW0C,EAAEC,CAAC,MAAO,OAAM,MAAM,gBAAgBX,EAAE,4BAA4B,CAAC,CAAC,EAAEhC,EAAE,eAAe,CAAC,CAAC,SAASs3E,GAAGt3E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,GAAG,EAAE,OAAOF,CAAC,EAAE,QAAQ,GAAG,CAAC,IAAI6B,EAAE,EAAE,SAAS,MAAM,EAAE,QAAQ,OAAO,MAAM,EAAE,QAAQ,MAAM,WAAW,EAAE,GAAG/B,EAAE,qBAAqB,CAAC,EAAE,UAAU,CAAC,IAAIgC,EAAE,EAAE,QAAQ,SAAS,CAAC,gBAAgBC,EAAE,aAAaS,EAAE,SAASC,CAAC,EAAE2xE,GAAGt0E,EAAE,aAAa,EAAE,MAAMgC,CAAC,EAAEY,EAAE,GAAGC,EAAE,GAAGC,EAAE,GAAG,GAAGJ,EAAE,SAAS,GAAG1C,EAAE,aAAa,CAAC,IAAI2E,EAAE,CAAC,KAAK,KAAK3C,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,KAAKA,EAAE,CAAC,EAAE,CAAC,CAAC,EAAEY,EAAE,GAAG+B,EAAE,CAAC,EAAE,KAAKA,EAAE,CAAC,EAAE,GAAG,SAASjC,EAAE,SAAS,GAAG,CAAC1C,EAAE,aAAa6C,EAAE,GAAGH,EAAE,CAAC,EAAE,KAAKA,EAAE,CAAC,EAAE,YAAYA,EAAE,OAAO,GAAG,CAAC1C,EAAE,aAAa,CAAC,IAAI2E,EAAEnG,EAAE,eAAekE,CAAC,EAAEI,EAAE,GAAG6B,EAAE,CAAC,IAAI3C,EAAE,CAAC,KAAK2C,EAAEA,EAAE,OAAO,CAAC,IAAI3C,EAAE,CAAC,GAAG,CAAC,IAAIgC,EAAE,EAAE,MAAM,OAAO,EAAEtB,EAAE,SAAS,GAAGlE,EAAE,YAAY,EAAE,MAAMwD,CAAC,EAAEsF,EAAE9I,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,EAAExQ,EAAE,iBAAiB,EAAE,MAAMkS,EAAE,KAAK,EAAEuE,EAAE,CAACzE,EAAE,cAAcgE,IAAI9D,EAAE,MAAM,QAAQ1B,EAAE,YAAYwD,EAAE9B,EAAE,QAAQ,QAAQ,EAAEwE,EAAE1E,EAAE,cAAc0C,EAAE,OAAO,EAAE,GAAG,GAAGV,EAAE,CAAC,EAAE,KAAKA,EAAE,CAAC,EAAE,IAAI5B,GAAG,GAAG4D,KAAKS,KAAKxC,EAAEU,EAAE,MAAMD,EAAE,UAAU4E,KAAK,KAAK,KAAK1E,KAAKC,KAAKC,KAAK4B,KAAK3C,GAAG,KAAK,CAAC,IAAIC,EAAE,EAAE,UAAU,UAAU,EAAE,QAAQ,SAAS5B,GAAG,GAAG,EAAE,SAAS4B,KAAKD,GAAG,CAAC,CAAC,EAAE,IAAI1B,EAAEL,EAAE,SAAS,EAAEA,EAAE,YAAY,KAAK,OAAO,GAAG,IAAII,EAAE,IAAIC,EAAE,GAAGzO,EAAE,EAAE,UAAU,eAAe,IAAI,CAAC,CAAC,SAAS2lF,GAAGv3E,EAAE,CAAC,OAAOpO,EAAE,EAAE,QAAQ,2BAA2B,GAAGoO,GAAG,CAAC,CAAC,IAAIw3E,GAAG,KAAK,CAAC,YAAY52E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiB2xE,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIryE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE30N,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAElzE,CAAC,EAAEizE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEjzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DV,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMu3E,GAAG,KAAK,CAAC,YAAY72E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,iBAAiB2xE,GAAG,MAAM,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIryE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAElR,KAAK,oBAAoBzD,GAAG,CAAC,IAAI,IAAI,GAAG,EAAElzE,CAAC,EAAEizE,GAAG,CAAC,IAAI,IAAI,GAAG,EAAEjzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DV,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMw3E,GAAG,KAAK,CAAC,YAAY92E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY4xE,GAAG,SAAS,IAAItyE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,SAAS;AAAA,QAC9HuzE;AAAA;AAAA;AAAA;AAAA,UAIEj0E,EAAE;AAAA;AAAA,KAEP,CAAC,EAAMy3E,GAAG,KAAK,CAAC,YAAY/2E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY4xE,GAAG,SAAS,IAAItyE,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,SAAS;AAAA,QACxKuzE;AAAA;AAAA;AAAA;AAAA;AAAA,UAKEj0E,EAAE;AAAA;AAAA,KAEP,CAAC,EAAM03E,GAAI,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEC,GAAG,KAAK,CAAC,YAAYj3E,EAAEV,EAAE,GAAG,EAAE,OAAO,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAIG,EAAEuzE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI11E,EAAE,SAAS3B,IAAI2B,EAAE,8BAA8B,IAAIC,EAAE,GAAG,QAAQC,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAED,GAAG;AAAA,yBACtTC;AAAA,8BACK61E,GAAI51E,CAAC;AAAA,YACvB,CAAC,KAAK,SAAS;AAAA,QACnB,KAAK,oBAAoBkyE,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uCAMH,EAAE;AAAA;AAAA,sCAEH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMdP,EAAE;AAAA,YAChByB;AAAA;AAAA,UAEFzB,EAAE,iBAAiBwB;AAAA;AAAA,KAExB,CAAC,EAAMi2E,GAAG,KAAK,CAAC,YAAYl3E,EAAEV,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,WAAW,KAAK,OAAO,CAAC,EAAE,IAAI,EAAE0zE,GAAG,EAAE,KAAK,YAAYhzE,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIl3E,EAAE,GAAGwB,EAAE,SAAS3B,IAAI2B,EAAE,8BAA8B,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQC,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE1B,GAAG;AAAA;AAAA,gCAEtU0B,OAAO,KAAK,oBAAoB,cAAc,GAAGnB,EAAE,CAAC;AAAA,8BACtDmB;AAAA,iCACGD,OAAO,KAAK,oBAAoB,cAAc,GAAGlB,EAAE,CAAC;AAAA,gCACrDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGFE;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA,uBAEAA;AAAA;AAAA;AAAA;AAAA,SAId,CAAC,KAAK,SAAS;AAAA,UACd,KAAK,oBAAoBkyE,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhCP;AAAA;AAAA,YAEA,EAAE,YAAYwB;AAAA;AAAA,KAErB,CAAC,EAAMzO,GAAG,CAAC,EAAE6M,GAAG7M,GAAG,CAAC,kCAAkC,IAAI2kF,GAAG,8BAA8B,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,kBAAkB,IAAIC,GAAG,0BAA0B,IAAIC,GAAG,iCAAiC,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,mBAAmB,IAAIC,GAAG,gDAAgD,IAAIC,GAAG,gCAAgC,IAAIC,GAAG,sCAAsC,IAAIC,GAAG,+BAA+B,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,yCAAyC,IAAIC,GAAG,wCAAwC,IAAIC,GAAG,+CAA+C,IAAIC,GAAG,2BAA2B,IAAIC,GAAG,yBAAyB,IAAIC,EAAE,CAAC,EAAE,SAASX,GAAGx4E,EAAE,CAAC,IAAI,EAAE4zE,GAAG,EAAE1zE,EAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,OAKD,OAAOmwE,GAAGrwE,EAAEE,CAAC,CAAC,CAAC,SAASq4E,GAAGv4E,EAAE,CAAC,IAAI,EAAE,IAAI,aAAa,CAAC,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOmwE,GAAGnwE,EAAE,CAAC,CAAC,CAAC,SAASo4E,GAAGp4E,EAAE,CAAC,IAAI,EAAE,IAAI,YAAY,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE,OAAOkwE,GAAGlwE,EAAE,CAAC,CAAC,CAAC,SAASo5E,GAAGp5E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC4xE,GAAG,EAAE/xE,CAAC,EAAE,IAAI,EAAEkwE,GAAGpwE,CAAC,EAAE+B,EAAE/B,EAAE,WAAW,OAAO6vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAY+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,eAAeA,EAAE,aAAa,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,cAAc+B,EAAE/B,EAAE,mBAAmBA,EAAE,OAAO,CAAC,EAAEpO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,WAAW+B,EAAE,EAAE3B,EAAE,EAAEF,EAAE,EAAEG,EAAE,EAAE,IAAI,CAAC,EAAEwvE,GAAG7vE,EAAE,IAAIA,EAAE,aAAa+B,EAAE,EAAE3B,EAAE,EAAEF,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,EAAE,CAAC,QAAQ,EAAE,SAAS,CAACE,EAAE,CAAC,CAAC,CAAC,CAAC,SAAS64E,GAAG/4E,EAAE,CAAC,OAAOA,EAAE,mBAAmB,CAAC,SAASm4E,GAAGn4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE04E,GAAG34E,CAAC,EAAEA,EAAE,mBAAmBJ,EAAE,KAAK,CAAC,CAAC,SAAS64E,GAAG74E,EAAE,CAAC,OAAOA,EAAE,uBAAuB,CAAC,SAASi4E,GAAGj4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAEw4E,GAAGz4E,CAAC,EAAEA,EAAE,mBAAmBA,EAAE,oBAAoB,CAAC,CAAC,SAAS64E,GAAGj5E,EAAE,CAAC,OAAOA,EAAE,qBAAqB,CAAC,SAASs4E,GAAGt4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE44E,GAAG74E,CAAC,EAAEJ,EAAE,KAAKA,EAAE,aAAa,CAAC,CAAC,SAASg5E,GAAGh5E,EAAE,CAAC,OAAOA,EAAE,yBAAyB,CAAC,SAASq4E,GAAGr4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEwyE,GAAG,EAAE3yE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAE24E,GAAG54E,CAAC,EAAEJ,EAAE,KAAKA,EAAE,KAAK,CAAC,CAAC,SAAS84E,GAAG94E,EAAE,CAAC,OAAOA,EAAE,6BAA6B,CAAC,SAASk4E,GAAGl4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEwyE,GAAG,EAAE3yE,CAAC,EAAE,OAAOk5E,GAAGp5E,EAAEK,EAAE,EAAEy4E,GAAG14E,CAAC,EAAEJ,EAAE,KAAKI,EAAE,oBAAoB,CAAC,CAAC,SAAS23E,GAAG/3E,EAAE,EAAEE,EAAE,CAAC,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAaE,CAAC,CAAC,EAAE0vE,GAAG5vE,EAAE,EAAE,eAAeE,EAAE,EAAE,GAAG,CAAC,GAAG0vE,GAAG5vE,EAAE,EAAE,KAAKE,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,SAASg5E,GAAGl5E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAACwvE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAE,IAAI,EAAE+B,EAAEC,EAAE3B,aAAa,YAAY,EAAE,IAAI,WAAWH,EAAEE,EAAE,CAAC,EAAE2B,EAAE/B,EAAE,cAAcgC,EAAEhC,EAAE,OAAO,EAAE,IAAI,aAAaE,EAAEE,EAAE,CAAC,EAAE2B,EAAE/B,EAAE,MAAMgC,EAAE,EAAE,2BAA2B,EAAE,IAAI3B,CAAC,EAAEzO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAEE,EAAEJ,EAAE,KAAK+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEgC,EAAE9B,EAAEE,EAAE,EAAEJ,EAAE,KAAK+B,EAAE,CAAC,CAAC,EAAE8tE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASm5E,GAAGn5E,EAAE,EAAEE,EAAE,CAAC2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,CAAC,CAAC,EAAEE,EAAE,gBAAgB,WAAWtO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEE,EAAE,MAAMA,EAAE,OAAOF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKE,EAAE,MAAMA,EAAE,OAAO,EAAEF,EAAE,KAAKA,EAAE,cAAcE,EAAE,IAAI,CAAC,EAAEtO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEi+E,GAAG7vE,EAAE,IAAIA,EAAE,cAAcA,EAAE,WAAW,EAAE,EAAE,EAAEA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,WAAW,EAAEA,EAAE,KAAKA,EAAE,KAAKA,EAAE,cAAcE,CAAC,CAAC,EAAE2vE,GAAG7vE,EAAE,IAAIA,EAAE,YAAYA,EAAE,WAAW,IAAI,CAAC,CAAC,CAAC,SAASg4E,GAAGh4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEL,EAAE,aAAa,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkBK,CAAC,CAAC,EAAE,IAAI0B,EAAE,EAAE,EAAE,EAAE7B,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB+B,EAAE/B,EAAE,WAAW,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAM,CAAC,CAAC,EAAE6vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,kBAAkB,IAAI,CAAC,EAAEK,CAAC,CAAC,SAASq4E,GAAG14E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAEK,EAAE,IAAI,aAAaH,CAAC,EAAE,OAAOE,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAASo4E,GAAGz4E,EAAE,EAAEE,EAAEE,EAAE,CAAC,GAAG,CAACC,EAAE,CAAC,EAAEqyE,GAAG,EAAExyE,CAAC,EAAE,EAAE,EAAE6B,EAAE,IAAI,WAAW4wE,GAAG,EAAEzyE,EAAE,CAAC,CAAC,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEK,EAAE,EAAED,EAAE,sBAAsBJ,EAAE,cAAc+B,CAAC,CAAC,EAAE,IAAI,aAAaA,EAAE,MAAM,CAAC,CAAC,SAAS62E,GAAG54E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE0B,EAAE,CAAC,IAAIC,EAAEhC,EAAEiC,EAAE,IAAI,aAAa6wE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO9wE,EAAE,WAAWA,EAAE,kBAAkB,CAAC,EAAEA,EAAE,iBAAiBA,EAAE,kBAAkB,EAAEC,CAAC,EAAED,EAAE,WAAWA,EAAE,kBAAkB,IAAI,EAAEC,CAAC,CAAC,SAAS02E,GAAG34E,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,IAAI,aAAa,EAAEF,EAAE,CAAC,EAAE,OAAO2vE,GAAG7vE,EAAE,IAAIA,EAAE,WAAW,EAAE,EAAEE,EAAE,EAAEF,EAAE,KAAKA,EAAE,MAAMI,CAAC,CAAC,EAAEA,CAAC,CAAC,IAAIxb,GAAG,KAAK,CAAC,YAAYgc,EAAE,CAAC,KAAK,cAAc,KAAK,KAAK,QAAQ,KAAK,KAAK,SAAS,GAAG,KAAK,YAAY,CAAC,EAAE,IAAIV,EAAEtO,EAAE,EAAE,UAAU,eAAe,EAAE,GAAGgP,GAAG,MAAM,KAAK,GAAGA,EAAE5F,GAAGkF,EAAEU,CAAC,GAAG,KAAK,GAAGwxE,GAAGlyE,CAAC,EAAEU,EAAE,KAAK,GAAGhP,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAIiQ,EAAEjB,EAAE,KAAK,kBAAkB,IAAIivE,GAAGhuE,EAAE,IAAIA,EAAE,kBAAkB,CAAC,EAAE,KAAK,gBAAgBC,GAAG+tE,GAAGhuE,EAAE,IAAIA,EAAE,gBAAgBC,CAAC,CAAC,EAAE,KAAK,kBAAkBA,GAAG+tE,GAAGhuE,EAAE,IAAIA,EAAE,kBAAkBC,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI+tE,GAAGhuE,EAAE,IAAIA,EAAE,aAAaA,EAAE,oBAAoB,CAAC,CAAC,SAASjB,GAAG,KAAK,CAAC,IAAIiB,EAAEjB,EAAE,aAAa,yBAAyB,EAAE,GAAGiB,GAAG,KAAK,MAAM,IAAI,MAAM,2EAA2E,EAAE,KAAK,kBAAkB,IAAIguE,GAAGjvE,EAAE,IAAIiB,EAAE,qBAAqB,CAAC,EAAE,KAAK,gBAAgBC,GAAG+tE,GAAGjvE,EAAE,IAAIiB,EAAE,mBAAmBC,CAAC,CAAC,EAAE,KAAK,kBAAkBA,GAAG+tE,GAAGjvE,EAAE,IAAIiB,EAAE,qBAAqBC,CAAC,CAAC,EAAE,KAAK,eAAe,IAAI+tE,GAAGjvE,EAAE,IAAIA,EAAE,aAAaiB,EAAE,wBAAwB,CAAC,CAAC,CAAC,IAAI,EAAE,2BAA2BxB,EAAE,8BAA8B,GAAG,KAAK,6BAA6B,KAAK,GAAG,aAAa,6BAA6B,EAAEzO,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,CAAC,IAAIiQ,EAAE,oBAAoBC,EAAE,yBAAyB,GAAG,KAAK,sBAAsByuE,GAAG,KAAK,GAAG1uE,CAAC,EAAEsvE,GAAG,KAAK,GAAGrvE,CAAC,EAAE,KAAK,0BAA0ByuE,GAAG,KAAK,GAAGzuE,CAAC,UAAUlQ,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,oHAAoH,EAAE,GAAG,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,EAAEu/E,GAAG,KAAK,GAAG9wE,CAAC,EAAE,KAAK,8BAA8BkwE,GAAG,KAAK,GAAGlwE,CAAC,UAAUzO,EAAE,EAAE,IAAI,0BAA0B,EAAE,MAAM,IAAI,MAAM,6HAA6H,CAAC,SAAS,EAAE,yBAAyBu/E,GAAG,KAAK,GAAG,CAAC,EAAE,KAAK,0BAA0B,KAAK,GAAG,aAAa,CAAC,UAAUA,GAAG,KAAK,GAAG9wE,CAAC,EAAE,KAAK,8BAA8B,KAAK,GAAG,aAAaA,CAAC,MAAO,OAAM,IAAI,MAAM,qDAAqD,EAAE,KAAK,aAAak4E,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYH,GAAG,KAAK,EAAE,EAAE,KAAK,YAAYpI,GAAG,KAAK,EAAE,EAAE,KAAK,cAAc+C,GAAG,KAAK,GAAG,KAAK,yBAAyB,CAAC,CAAC,IAAI,OAAO,CAAC,OAAOnhF,EAAE,EAAE,QAAQ,OAAO,CAAC,CAAC,SAAS,CAAC,GAAG,KAAK,SAAS,OAAO,KAAK,SAAS,MAAM,QAAQ,KAAK,sKAAsK,EAAE,KAAK,eAAe,MAAM,QAAQ,KAAK,oMAAoM,EAAE,IAAIgP,EAAE,KAAK,GAAGivE,GAAGjvE,EAAE,IAAIA,EAAE,OAAO,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,gBAAgBA,EAAE,YAAY,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,kBAAkB,KAAK,WAAW,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,WAAWA,EAAE,aAAa,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,IAAI,CAAC,EAAEivE,GAAGjvE,EAAE,IAAIA,EAAE,aAAa,KAAK,WAAW,CAAC,EAAE,KAAK,SAAS,EAAE,CAAC,2BAA2BA,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEi4E,GAAG,KAAK,GAAGv3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,2BAA2BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE+3E,GAAG,KAAK,GAAGr3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEo4E,GAAG,KAAK,GAAG13E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,yBAAyBU,EAAEV,EAAE,CAAC,KAAK,gBAAgB,EAAEi5E,GAAG,KAAK,GAAGv4E,EAAEV,CAAC,CAAC,CAAC,2BAA2BU,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,gBAAgB,EAAE64E,GAAG,KAAK,GAAGt4E,EAAEV,EAAE,EAAEG,EAAE,KAAK,aAAa,CAAC,CAAC,iCAAiCO,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEg4E,GAAG,KAAK,GAAGt3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,0BAA0BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAEm4E,GAAG,KAAK,GAAGz3E,EAAEV,EAAE,KAAK,aAAa,CAAC,CAAC,oBAAoBU,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,gBAAgBA,IAAIixE,GAAG,KAAK,GAAG,KAAK,WAAW,EAAE,KAAK,cAAc,MAAMhC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcjvE,CAAC,CAAC,CAAC,CAAC,gDAAgDA,EAAEV,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBU,EAAE,IAAI63E,GAAG,KAAK,GAAGv4E,EAAE,EAAE,KAAK,aAAa,CAAC,CAAC,CAAC,+BAA+BU,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,OAAO82E,GAAG,KAAK,GAAGh4E,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,KAAK,aAAa,CAAC,CAAC,gCAAgClB,EAAEV,EAAE,CAAC,OAAOw4E,GAAG,KAAK,GAAG93E,EAAEV,CAAC,CAAC,CAAC,wBAAwBU,EAAEV,EAAE,EAAE,CAAC,KAAK,yBAAyBU,CAAC,EAAE,IAAIP,EAAE23E,GAAG,KAAK,GAAG93E,EAAE,EAAE,KAAK,aAAa,EAAE,OAAO,KAAK,2BAA2B,EAAEG,CAAC,CAAC,uBAAuB,CAAC,IAAIO,EAAE,KAAK,YAAY,KAAK,EAAE,EAAE,OAAO,KAAK,UAAUA,CAAC,CAAC,CAAC,YAAYA,EAAE,CAAC,IAAIV,EAAE,EAAE,GAAGtO,EAAE,EAAE,QAAQ,yBAAyB,EAAE,CAAC,IAAIyO,EAAEO,EAAEiB,EAAExB,EAAE,UAAUA,EAAE,2BAA2B,CAAC,EAAEO,EAAE,MAAM,EAAE,EAAE,IAAI,CAAC,IAAIkB,EAAEzB,EAAE,eAAewB,EAAE,EAAE,CAAC,EAAE,OAAOC,IAAIzB,EAAE,kBAAkByB,IAAIzB,EAAE,mBAAmB,EAAEH,EAAE2B,CAAC,MAAMjQ,EAAE,EAAE,UAAU,8CAA8C,EAAE,GAAGsO,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS,EAAE,EAAE,IAAI,KAAK,iBAAiBA,EAAEtO,EAAE,EAAE,UAAU,8CAA8C,CAAC,GAAG,EAAE,IAAI,GAAG,MAAM,CAAC,MAAMsO,EAAE,cAAc,CAAC,CAAC,CAAC,gCAAgCU,EAAEV,EAAE,EAAE,CAAC,OAAO,KAAK,qBAAqBU,EAAE,IAAI+3E,GAAG,KAAK,GAAGz4E,EAAE,CAAC,CAAC,CAAC,CAAC,cAAcU,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIV,EAAE,KAAK,GAAG,KAAK,cAAc,OAAO,KAAK,aAAas4E,GAAGt4E,CAAC,GAAG,IAAI,EAAE+vE,GAAG/vE,CAAC,EAAE2vE,GAAG3vE,EAAE,IAAIA,EAAE,aAAa,EAAE,KAAK,YAAY,CAAC,EAAE2vE,GAAG3vE,EAAE,IAAIA,EAAE,aAAa,EAAEU,CAAC,CAAC,EAAE6wE,GAAGvxE,EAAE,CAAC,EAAE,IAAIG,EAAE,OAAOA,EAAE,OAAO,OAAO,EAAE,CAAC,IAAI,KAAK,kBAAkB,CAAC,CAAC,EAAE,KAAK,gBAAgBA,EAAE,GAAG,EAAEwvE,GAAG3vE,EAAE,IAAIA,EAAE,WAAWA,EAAE,qBAAqB,KAAK,WAAW,CAAC,EAAE,QAAQ,OAAO63E,GAAG73E,EAAEG,EAAE,KAAK,YAAY,EAAE,oEAAoE,EAAE,KAAK,OAAO2xE,GAAG9xE,EAAEG,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAEA,CAAC,CAAC,cAAcO,EAAE,CAAC,KAAK,gBAAgB,EAAEA,IAAI,KAAK,UAAU,KAAK,QAAQ,MAAMA,GAAG,OAAOivE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,cAAcjvE,CAAC,CAAC,EAAE,KAAK,kBAAkBA,EAAE,GAAG,EAAE,CAAC,WAAWA,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,QAAQA,EAAE,KAAK,SAAS,OAAO,KAAK,gBAAgB,KAAK,QAAQ,GAAG,EAAE,KAAK,OAAOoxE,GAAG,KAAK,GAAG,KAAK,OAAO,GAAGnC,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,WAAWjvE,CAAC,CAAC,CAAC,CAAC,mBAAmBA,EAAEV,EAAE,EAAE,GAAG,CAAC,OAAO,KAAK,gBAAgB,EAAE,EAAE0wE,GAAG,KAAK,GAAGhwE,EAAEV,CAAC,EAAEywE,GAAG,KAAK,GAAG/vE,EAAEV,CAAC,CAAC,CAAC,qBAAqBU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE2vE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,kBAAkBjvE,EAAEV,CAAC,CAAC,CAAC,CAAC,0BAA0BU,EAAEV,EAAE,CAAC,OAAO,KAAK,gBAAgB,EAAE,KAAK,GAAG,mBAAmBU,EAAEV,CAAC,CAAC,CAAC,sBAAsBU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAEwvE,GAAG,KAAK,GAAG9uE,EAAEV,EAAE,CAAC,CAAC,CAAC,uBAAuBU,EAAEV,EAAE,EAAE,CAAC,KAAK,6BAA6BU,EAAE,EAAEV,CAAC,CAAC,CAAC,6BAA6BU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,GAAG,CAACG,EAAEwB,CAAC,EAAEgxE,GAAG3yE,EAAE,CAAC,EAAE,KAAK,6BAA6BU,EAAEP,EAAEwB,CAAC,CAAC,CAAC,2BAA2BjB,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,iCAAiC,EAAEO,EAAEP,EAAEH,CAAC,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,EAAEG,EAAE,CAAC,MAAM,IAAI,MAAM,mDAAmD,CAAC,CAAC,eAAe,CAAC,KAAK,SAAS,MAAM2xE,GAAG,KAAK,GAAG,KAAK,OAAO,EAAED,GAAG,KAAK,EAAE,CAAC,CAAC,gBAAgB,CAAC,KAAK,gBAAgB,EAAE,KAAK,iBAAiB,EAAE,IAAInxE,EAAE,KAAK,GAAG,GAAG,KAAK,MAAM,CAAC,IAAIV,EAAE,KAAK,eAAe,EAAE,QAAQ,OAAOA,IAAI,KAAK,QAAQ,IAAI,oDAAoD,EAAE,KAAK,cAAc,CAAC,CAAC2vE,GAAGjvE,EAAE,IAAIA,EAAE,aAAaA,EAAE,UAAU,EAAEA,EAAE,eAAe,CAAC,CAAC,CAAC,CAAC,gCAAgC,CAAC,KAAK,gBAAgB,EAAEivE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,OAAO,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,6BAA6B,OAAO,KAAK,4BAA4BU,GAAG,KAAK,GAAG3+E,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,kCAAkC,0BAA0B,GAAG,KAAK,2BAA2B,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,8BAA8B,CAAC,OAAO,KAAK,uBAAuB,CAAC,CAAC,YAAY,CAAC,GAAGA,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGyO,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,YAAY,EAAE,OAAO,EAAE,WAAWxB,EAAE,iBAAiBwB,CAAC,EAAEA,CAAC,CAAC,IAAIjB,EAAE,KAAK,6BAA6B,EAAEV,EAAEU,EAAE,eAAe,EAAE,OAAOA,EAAE,cAAcA,EAAE,iBAAiBV,CAAC,EAAEA,CAAC,CAAC,UAAU,CAAC,GAAGtO,EAAE,EAAE,UAAU,8CAA8C,IAAI,EAAE,CAAC,IAAIsO,EAAE,KAAK,GAAG,EAAE,KAAK,6BAA6B,EAAEA,EAAE,SAAS,EAAE,gBAAgB,EAAE,MAAM,CAAC,IAAIU,EAAE,KAAK,6BAA6B,EAAEA,EAAE,YAAYA,EAAE,gBAAgB,CAAC,CAAC,MAAM,uBAAuBA,EAAE,CAAC,OAAO,MAAMpC,EAAE,YAAY,IAAI,KAAK,UAAU,KAAK,iBAAiBoC,EAAEhP,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,EAAE,KAAK,aAAagP,EAAEhP,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,CAAC,aAAagP,EAAEV,EAAE,CAAC,GAAGA,IAAI,EAAE,OAAO,KAAK,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAG,OAAO,EAAE,kBAAkBU,EAAE,EAAE,YAAY,EAAE,GAAG,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAE,OAAO,EAAE,kBAAkBA,EAAE,EAAE,gBAAgB,EAAE,GAAG,CAAC,CAAC,iBAAiBA,EAAEV,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,GAAG,GAAGA,IAAI,EAAE,CAAC,IAAI,EAAE,KAAK,GAAGG,EAAE,KAAK,6BAA6B,EAAEwB,EAAE,EAAE,kBAAkBjB,EAAE,EAAE,sBAAsB,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAaP,EAAE,gBAAgB,GAAGwB,GAAG,CAAC,KAAK,QAAQ,KAAK,CAAC,IAAI,EAAE,KAAK,6BAA6B,EAAExB,EAAE,EAAE,kBAAkBO,EAAE,EAAE,0BAA0B,EAAE,OAAO,KAAK,UAAU,OAAO,KAAK,SAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,GAAGP,GAAG,CAAC,KAAK,QAAQ,CAAC,CAAC,UAAUO,EAAE,CAAC,OAAO,IAAI,QAAQV,GAAG,CAAC,KAAK,cAAc,IAAIU,EAAE,cAAc,EAAE,IAAIV,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,WAAW,CAAC,IAAIU,EAAEy4E,GAAI,KAAK,YAAY,IAAIn5E,GAAGA,EAAE,QAAQ,CAAC,EAAE,QAAQA,EAAE,EAAEA,GAAGU,EAAE,EAAEV,EAAE,CAAC,GAAG,CAAC,UAAU,CAAC,EAAE,KAAK,YAAYA,CAAC,EAAE,EAAE,CAAC,CAAC,KAAK,YAAY,KAAK,YAAY,MAAMU,EAAE,CAAC,CAAC,CAAC,cAAcA,EAAEV,EAAE,CAAC,GAAG,KAAK,YAAY,KAAK,CAAC,SAASU,EAAE,UAAUV,CAAC,CAAC,EAAE,KAAK,YAAY,OAAO,EAAE,OAAO,IAAI,EAAE,qBAAqBtO,EAAE,EAAE,WAAW,EAAEA,EAAE,EAAE,SAAS,iBAAiB,KAAKA,EAAE,EAAE,QAAQ,GAAG4M,EAAE,YAAY,KAAK,KAAK,UAAU,EAAE,KAAK,YAAY,SAAS,GAAG,IAAI,EAAE,KAAK,CAAC,CAAC,CAAC,yBAAyBoC,EAAE,CAAC,KAAK,gBAAgB,EAAE6uE,GAAG,KAAK,GAAG7uE,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOmxE,GAAG,KAAK,EAAE,CAAC,CAAC,4BAA4B,CAAC,KAAK,eAAe,MAAMtC,GAAG,KAAK,GAAG,KAAK,cAAc,KAAK,WAAW,EAAE,KAAK,OAAOsC,GAAG,KAAK,EAAE,GAAGF,GAAG,KAAK,GAAG,KAAK,WAAW,CAAC,CAAC,qBAAqBjxE,EAAEV,EAAE,CAAC,KAAK,yBAAyBU,CAAC,EAAE,IAAI,EAAEV,EAAE,EAAE,OAAO,KAAK,2BAA2B,EAAE,CAAC,CAAC,6BAA6BU,EAAEV,EAAE,EAAE,CAAC,KAAK,gBAAgB,EAAE,IAAIG,EAAE,KAAK,GAAGovE,GAAGpvE,EAAEO,EAAE,KAAK,WAAW,EAAE,KAAK,OAAOmxE,GAAG1xE,CAAC,EAAE,KAAK,cAAcO,EAAEivE,GAAGxvE,EAAE,IAAIA,EAAE,SAAS,EAAE,EAAEH,EAAE,CAAC,CAAC,EAAE2vE,GAAGxvE,EAAE,IAAIA,EAAE,QAAQ,EAAE,EAAEH,EAAE,CAAC,CAAC,CAAC,CAAC,iCAAiCU,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,gBAAgB,EAAEwvE,GAAG,KAAK,GAAG,IAAI,KAAK,GAAG,QAAQjvE,EAAEV,EAAE,EAAEG,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,GAAG,KAAK,SAAS,MAAM,IAAI,MAAM,yCAAyC,CAAC,CAAC,kBAAkB,CAAC,GAAG,KAAK,SAAS,KAAK,MAAM,IAAI,MAAM,kCAAkC,CAAC,CAAC,EAAE,SAASg5E,GAAIr5E,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,EAAE,QAAQA,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,CAAC,GAAG,CAAC,QAAQs5E,GAAG,aAAaC,GAAG,mBAAmBC,GAAG,SAASC,GAAG,SAASC,GAAG,WAAWC,GAAG,UAAUC,GAAG,QAAQC,GAAG,UAAUC,GAAG,UAAUC,GAAG,aAAaC,GAAG,aAAaC,GAAG,YAAYC,GAAG,iBAAiBC,GAAG,SAASC,GAAG,cAAcC,GAAG,aAAaC,GAAG,QAAQC,GAAG,QAAQC,GAAG,YAAYC,GAAG,YAAYC,GAAG,aAAaC,GAAG,QAAQC,GAAG,aAAaC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,yBAAyBC,GAAG,UAAUC,GAAG,UAAUC,GAAG,YAAYC,GAAG,YAAYC,GAAG,cAAcC,GAAG,UAAUC,GAAG,wBAAwBC,GAAG,kBAAkBC,GAAG,2BAA2BC,GAAG,SAASC,GAAG,iBAAiBC,GAAG,iBAAiBC,GAAG,gBAAgBC,GAAG,2BAA2BC,GAAG,QAAQC,GAAG,SAASC,GAAG,SAASC,GAAG,cAAcC,GAAG,WAAWC,EAAE,EAAE/oB,GAAG,SAASgpB,GAAGr8E,EAAE,EAAE,CAAC,MAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIE,GAAG,GAAGF,KAAKE,GAAG,CAAC,CAAC,SAASo8E,GAAGt8E,EAAE,EAAE,CAAC,OAAO,IAAI,EAAE,CAACA,CAAC,EAAEq8E,GAAGr8E,EAAE,CAAC,CAAC,CAAC,SAASu8E,GAAGv8E,EAAE,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,KAAK,IAAIE,EAAE,GAAG,QAAQE,EAAE,EAAEA,EAAEJ,EAAEI,IAAIF,GAAG,EAAEE,CAAC,EAAEA,EAAEJ,EAAE,IAAIE,GAAG,KAAK,OAAOA,CAAC,CAAC,IAAIs8E,GAAG,KAAK,CAAC,YAAY57E,EAAE,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,OAAO,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,YAIzid,CAAC,IAAIr3E,EAAEo8E,GAAG,KAAK,KAAK,IAAI,EAAE,EAAErF,GAAG,KAAK,IAAI,EAAE52E,EAAE,KAAK,wBAAwBH,CAAC,EAAE2B,EAAE,KAAK,SAAS3B,CAAC,EAAE4B,EAAE,KAAK,UAAU5B,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEGG;AAAA;AAAA;AAAA,cAGDwB;AAAA;AAAA,6BAEeC;AAAA;AAAA;AAAA,OAGtB,CAAC,CAAC,mBAAmBlB,EAAE,CAAC,IAAIV,EAAE,CAAC,EAAE,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,QAAQG,EAAE,EAAEA,GAAG,EAAEA,IAAI,CAAC,IAAIwB,EAAE,GAAG,IAAI,EAAE,IAAI,UAAUxB,IAAI,EAAE,IAAI,QAAQ,QAAQyB,EAAE,EAAEA,EAAE,KAAK,KAAKA,IAAID,EAAE,GAAGjB,EAAEA,EAAE,OAAO,EAAEkB,CAAC,KAAKD,EAAE3B,EAAE,KAAK2B,CAAC,CAAC,CAAC,OAAO3B,CAAC,CAAC,wBAAwBU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,QAAQ,KAAK,oBAAoB,WAAW,KAAK,YAAY,CAAC,IAAI,IAAIV,EAAE,GAAG,QAAQ,EAAE,KAAK,KAAK,EAAE,EAAE,KAAK,KAAK,IAAIA,GAAG,GAAGU,EAAE,CAAC,QAAQ,KAAK,oBAAoB,YAAY,KAAK,KAAK,YAAY,CAAC,IAAI,EAAE,KAAK,KAAK,IAAIV,GAAG,MAAM,OAAOA,CAAC,CAAC,SAASU,EAAE,CAAC,GAAG,KAAK,OAAO,EAAE,MAAM,GAAG,IAAIV,EAAEU,EAAE,MAAM,EAAE,EAAE,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,CAAC,EAAEP,EAAE,KAAK,oBAAoB,YAAY,KAAK,YAAY,KAAK,YAAY,KAAK,KAAK,CAAC,EAAE,MAAM;AAAA,gBAC3rBH,EAAE,CAAC;AAAA,gBACHA,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,4BAIS;AAAA,4BACAG;AAAA,KACvB,CAAC,UAAUO,EAAE,CAAC,IAAIV,EAAE,KAAK,mBAAmBU,CAAC,EAAE,OAAO,KAAK,OAAO,EAAE,wBAAwB,KAAK,oBAAoB,WAAW,KAAK,YAAY,CAAC,+BAA+B,QAAQV,EAAE,CAAC;AAAA,gCACjKA,EAAE,CAAC;AAAA,gCACHA,EAAE,CAAC;AAAA,yCACMA,EAAE,CAAC,IAAI,CAAC,EAAMu8E,GAAG,KAAK,CAAC,YAAY77E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI,EAAE,GAAG,QAAQl3E,EAAE,EAAEA,EAAE,EAAEA,IAAI,CAAC,IAAIwB,EAAE,eAAexB,EAAE,IAAI,IAAIwB,GAAG,kBAAkBxB,EAAE,IAAIwB,GAAG,kBAAkB,GAAG;AAAA,UACzXA;AAAA,UACAxB,EAAE,EAAE,0CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrCA;AAAA;AAAA,UAETA,EAAE,EAAE,IAAI;AAAA,OACX,CAAC,KAAK,SAAS;AAAA,QACdq8E,GAAIx8E,EAAE,KAAK,mBAAmB;AAAA,QAC9B,KAAK,oBAAoBg0E,GAAG,EAAED,GAAGrzE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,oBAAoB,cAAcA,EAAE,CAAC;AAAA,qBAC1C,KAAK,oBAAoB,cAAcA,EAAE,CAAC;AAAA;AAAA,UAErD;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAAS87E,GAAI18E,EAAE,EAAE,CAAC,MAAM;AAAA;AAAA,QAExB,EAAEg0E,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE,YAAY,EAAEH,GAAG,CAAC,IAAI,IAAI,GAAG,EAAE7zE,CAAC;AAAA;AAAA;AAAA,GAGxD,CAAC,IAAI28E,GAAG,KAAK,CAAC,YAAY/7E,EAAE,CAAC,KAAK,MAAMA,EAAE,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,EAAE,KAAK,aAAa,CAAC,EAAE,KAAK,WAAW,GAAG,KAAK,aAAa,CAAC,CAAC,CAAC,eAAeA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAEu8E,GAAG18E,EAAE,CAAC,EAAE2B,EAAEg7E,GAAGj8E,EAAEP,EAAE,CAAC,EAAEwB,KAAK,KAAK,eAAe,KAAK,aAAaA,CAAC,EAAE,CAAC,GAAGA,KAAK,KAAK,eAAe,KAAK,aAAaA,CAAC,EAAE,CAAC,GAAG,IAAIC,EAAEg7E,GAAGl8E,EAAEP,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAc,CAAC,EAAE,GAAG,KAAK,aAAawB,CAAC,EAAE,OAAO,EAAE,CAAC,KAAK,kBAAkB,KAAK,kBAAkB,KAAK,eAAeC,EAAE,KAAK,IAAI,EAAE,IAAIE,EAAE,KAAK,aAAaH,CAAC,EAAE,MAAM,EAAE,OAAO,KAAK,aAAaA,CAAC,EAAE,KAAKG,CAAC,EAAEA,CAAC,CAAC,IAAID,EAAE,OAAO1B,IAAIoyE,GAAG,mBAAmB1wE,EAAE,KAAK,MAAM,0BAA0BnB,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEP,IAAIoyE,GAAG,mBAAmB1wE,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEP,IAAIoyE,GAAG,iBAAiB1wE,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEP,IAAIoyE,GAAG,iBAAiB1wE,EAAE,KAAK,MAAM,2BAA2BnB,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAEP,IAAIoyE,GAAG,2BAA2B1wE,EAAE,KAAK,MAAM,iCAAiCnB,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,GAAG,KAAK,aAAaiB,CAAC,EAAE,KAAKE,CAAC,EAAE,KAAK,kBAAkB,KAAK,oBAAoBD,EAAE,KAAK,IAAI,EAAEC,CAAC,CAAC,eAAenB,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,cAAc,KAAK,OAAO,IAAIwB,EAAE+6E,GAAG,EAAEv8E,CAAC,EAAEyB,EAAE+6E,GAAG38E,EAAE2B,EAAExB,CAAC,EAAEyB,KAAK,KAAK,eAAe,KAAK,aAAaA,CAAC,EAAE,CAAC,GAAG,IAAIC,EAAE+6E,GAAG58E,EAAE2B,EAAE,KAAK,MAAM,GAAG,KAAK,MAAM,cAAcxB,CAAC,EAAE2B,EAAEpQ,EAAE,EAAE,IAAI,gCAAgC,EAAEoQ,IAAI,IAAI,KAAK,mBAAmBA,GAAG,KAAK,MAAM,oBAAoBpB,EAAE,OAAO,EAAE,KAAK,oBAAoBmB,IAAI,KAAK,aAAaD,CAAC,EAAE,KAAKlB,CAAC,EAAE,KAAK,kBAAkB,KAAK,eAAemB,GAAG,KAAK,kBAAkB,IAAI,EAAE,KAAK,aAAaD,CAAC,EAAEY,EAAE,EAAE,QAAQ9B,CAAC,EAAE,GAAG8B,EAAE,EAAE,MAAM,IAAI,MAAM,0EAA0E,EAAE,EAAE,OAAOA,EAAE,CAAC,EAAE,KAAK,IAAI,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,KAAK,WAAW,OAAO,IAAI9B,EAAE,KAAK,gBAAgB,KAAK,gBAAgB,QAAQ,IAAI,YAAY,GAAG,KAAK,qBAAqB,KAAK,kBAAkB,IAAIA,IAAI,EAAE,IAAIV,EAAE,KAAK,cAAc,KAAK,mBAAmB,QAAQ,IAAI,oBAAoB,KAAK,oBAAoB,EAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,IAAIA,CAAC,KAAK,CAAC,CAAC,IAAI,mBAAmB,CAAC,OAAO,KAAK,kBAAkB,CAAC,IAAI,cAAc,CAAC,OAAO,KAAK,aAAa,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,oBAAoB,CAAC,OAAO,KAAK,eAAe,CAAC,SAAS,CAAC,GAAG,KAAK,cAAc,KAAK,CAAC,QAAQU,KAAK,KAAK,aAAa,KAAK,aAAaA,CAAC,EAAE,QAAQV,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,QAAQU,KAAK,KAAK,aAAa,KAAK,aAAaA,CAAC,EAAE,QAAQV,GAAG,CAAC,KAAK,MAAM,oBAAoBA,EAAE,OAAO,CAAC,CAAC,EAAE,KAAK,aAAa,KAAK,KAAK,aAAa,KAAK,KAAK,gBAAgB,EAAE,KAAK,gBAAgB,EAAE,KAAK,mBAAmB,EAAE,KAAK,cAAc,CAAC,CAAC,CAAC,EAAE,SAAS68E,GAAI/8E,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,GAAG,IAAIE,EAAE,KAAK,MAAO,GAAE,GAAG,IAAIA,EAAE,KAAK,MAAO,GAA6B,GAAxB,IAAIA,EAAE,SAAqB,IAAIF,EAAE,KAAK,MAAO,IAAG,GAAG,IAAIE,EAAE,QAAQ,MAAO,GAAE,GAAG,IAAIA,EAAE,MAAM,MAAO,GAAE,MAAM,IAAI,MAAM,2BAA2B,GAAG,CAAC,CAAC,SAAS48E,GAAG98E,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE28E,GAAI,EAAE58E,CAAC,EAAE,EAAE,GAAGC,EAAE,CAAC,GAAG,CAAC2B,EAAEC,CAAC,EAAE4wE,GAAG7yE,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAEgC,EAAEC,CAAC,KAAK,CAAC,GAAG,CAACD,EAAEC,CAAC,EAAEywE,GAAG1yE,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,EAAEgC,EAAEC,CAAC,CAAC,IAAIF,EAAEg7E,GAAI78E,EAAE,CAAC,EAAE,OAAO,EAAE6B,CAAC,CAAC,SAASi7E,GAAIh9E,EAAE,EAAE,CAAC,OAAOA,EAAE,CAAC,KAAKyyE,GAAG,mBAAmB,OAAOuG,GAAG,CAAC,EAAE,KAAKvG,GAAG,mBAAmB,OAAOqG,GAAG,CAAC,EAAE,KAAKrG,GAAG,iBAAiB,OAAOsG,GAAG,CAAC,EAAE,KAAKtG,GAAG,iBAAiB,OAAOoG,GAAG,CAAC,EAAE,KAAKpG,GAAG,yBAAyB,OAAOwG,GAAG,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iCAAiCj5E,GAAG,CAAC,CAAC,CAAC,SAASi9E,GAAIj9E,EAAE,CAAC,OAAOpO,EAAE,EAAE,QAAQ,8BAA8B,EAAEoO,EAAEyyE,GAAG,mBAAmBA,GAAG,iBAAiBzyE,EAAEyyE,GAAG,mBAAmBA,GAAG,gBAAgB,CAAC,SAASmK,GAAG58E,EAAE,EAAE,CAAC,GAAGA,IAAIwyE,GAAG,OAAO,OAAOC,GAAG,mBAAmB,GAAGzyE,IAAIwyE,GAAG,QAAQxyE,GAAG,KAAK,OAAOi9E,GAAI,CAAC,EAAE,GAAGj9E,IAAIwyE,GAAG,UAAUxyE,IAAIwyE,GAAG,OAAO,OAAOC,GAAG,yBAAyB,MAAM,IAAI,MAAM,gCAAgCzyE,GAAG,CAAC,CAAC,SAAS68E,GAAG78E,EAAE,EAAEE,EAAE,CAAC,MAAM,GAAGF,EAAE,CAAC,KAAKA,EAAE,CAAC,KAAK,KAAKE,GAAG,CAAC,IAAIg9E,GAAG,KAAK,CAAC,YAAYt8E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE9wHr3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAEi9E,GAAG,0BAA0BC,GAAG,YAAYC,GAAG,iBAAqBC,GAAG,0CAA0CC,GAAGJ,GAAG;AAAA;AAAA,EAE7HK,GAAGL,GAAG;AAAA;AAAA,EAENM,GAAG,YAAYC,GAAG,sCAA0CC,GAAG,YAAYC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS9EC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUHC,GAAG,sCAAsCC,GAAG,KAAK,CAAC,YAAYp9E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAEpNr3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASL,CAAC,EAAM+9E,GAAG,KAAK,CAAC,YAAYr9E,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIr3E,EAAEU,EAAE,OAAO,EAAE07E,GAAG,KAAKp8E,CAAC,EAAEG,EAAE42E,GAAG/2E,CAAC,EAAE2B,EAAE06E,GAAGr8E,EAAE,CAAC,EAAE4B,EAAE,EAAE,MAAM,EAAE,EAAEC,EAAE7B,GAAG,EAAE,KAAK,QAAQ4B,EAAE,KAAK,GAAG,KAAK,KAAK,SAAS;AAAA;AAAA,UAElRzB;AAAA,kCACwBwB;AAAA;AAAA,4CAEUE;AAAA;AAAA,KAEvC,CAAC,EAAMm8E,GAAI7pF,GAAG,UAAU8pF,GAAI,KAAKC,GAAI,KAAKC,GAAG,CAAC,EAAE,SAASC,GAAIt+E,EAAE,CAAC,OAAOA,KAAKq+E,KAAKA,GAAGr+E,CAAC,EAAE,CAAC,GAAGq+E,GAAGr+E,CAAC,CAAC,CAAC,IAAIu+E,GAAI3sF,EAAE,EAAE,UAAU,4BAA4B,EAAE4sF,GAAI,IAAI,SAASC,IAAK,CAAC,OAAO7sF,EAAE,EAAE,OAAO,QAAQ,KAAK,KAAKA,EAAE,EAAE,OAAO,OAAO,OAAOA,EAAE,EAAE,OAAO,OAAO,MAAM,OAAO,iBAAiB4sF,GAAI,KAAK,IAAI,CAAC,IAAI73F,GAAG,cAAcjB,EAAE,CAAC,YAAYkb,EAAE,CAAC,GAAG,MAAM,EAAE,KAAK,YAAY,IAAI,QAAQ,KAAK,gBAAgB,IAAI,QAAQ,KAAK,aAAa,IAAI,QAAQ,KAAK,cAAc,EAAE,KAAK,aAAa,EAAE,KAAK,eAAe,EAAE,KAAK,gBAAgB,EAAE,KAAK,kBAAkB,GAAG,KAAK,eAAe,EAAE,KAAK,SAAS,GAAG,CAAChP,EAAE,EAAE,QAAQ,WAAW,EAAE,MAAM,IAAI,MAAM,uCAAuC,EAAE,IAAIsO,EAAE,GAAGU,GAAG,KAAK,CAAC,GAAGA,aAAahc,GAAGsb,EAAEU,MAAM,CAAC,IAAI,EAAEwxE,GAAGxgF,EAAE,EAAE,UAAU,eAAe,EAAEgP,CAAC,EAAEV,EAAE,IAAItb,GAAG,CAAC,CAAC,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,oBAAoB,EAAE,KAAK,CAAC,IAAI,EAAEwtF,GAAGxgF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAEsO,EAAE,IAAItb,GAAG,CAAC,EAAE,KAAK,YAAY05F,GAAI1sF,EAAE,EAAE,UAAU,eAAe,CAAC,EAAE,KAAK,oBAAoB,EAAE,CAAC,KAAK,MAAMsO,EAAE,KAAK,OAAO,KAAK,MAAM,GAAG,OAAO,KAAK,eAAe,IAAIy8E,GAAG,KAAK,KAAK,EAAE,KAAK,mBAAmB8B,GAAI,EAAE,KAAK,QAAQ,IAAI37F,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,YAAY,CAAC,OAAOhL,GAAG,YAAY,CAAC,YAAY,CAAC,OAAO,KAAK,QAAQ,WAAW,EAAE,KAAK,cAAc,CAAC,aAAaia,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAe7B,EAAE,CAAC,EAAE8B,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEC,EAAE,SAAS,GAAGA,EAAE,QAAQ,CAAC,QAAQpB,EAAE,SAAS,CAACP,EAAEwB,CAAC,CAAC,EAAEG,EAAE,SAAS,CAAC3B,EAAEwB,CAAC,EAAE,IAAI,EAAEivE,GAAG5wE,CAAC,EAAEwC,EAAE,IAAIm1E,GAAG,EAAE,GAAG/1E,CAAC,EAAE,EAAE,KAAK,gBAAgBY,EAAE,CAACX,CAAC,EAAE,EAAE,CAAC,CAAC1B,EAAEwB,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,MAAM3B,EAAE8B,EAAE,QAAQ,KAAK,KAAK,8BAA8BD,CAAC,EAAE,EAAE,MAAM,CAAC,MAAMnB,EAAEV,EAAE,EAAE,CAAC,IAAItO,EAAE,EAAE,QAAQ,gCAAgC,GAAGA,EAAE,EAAE,QAAQ,OAAO,IAAI,KAAK,uBAAuBgP,CAAC,EAAE,IAAI,aAAaA,GAAG,KAAK,MAAM,IAAI,MAAM,uEAAuE,EAAE,IAAIP,EAAE,CAAC,GAAG,KAAK,WAAW,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIA,EAAE,CAAC,MAAMH,EAAE,MAAM,EAAE,OAAOU,EAAE,MAAM4xE,GAAG,OAAO,SAAS,CAAC,CAAC,EAAEnyE,CAAC,CAAC,SAASO,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,OAAOU,EAAE,CAAC,GAAG,KAAK,QAAQ,IAAIA,CAAC,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAEV,EAAE,UAAU,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,GAAGjQ,EAAE,EAAE,QAAQ,OAAO,GAAG,KAAK,uBAAuBsO,CAAC,EAAEG,IAAI,YAAY,MAAM,IAAI,MAAM,uEAAuE,EAAE,KAAK,QAAQ,IAAIO,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOH,EAAE,MAAMsyE,GAAG,OAAO,SAAS3wE,CAAC,CAAC,CAAC,CAAC,8BAA8BjB,EAAE,CAAC,KAAK,YAAYA,EAAE,MAAM,CAAC,CAAC,SAASA,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,mBAAmBwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG4B,GAAG,KAAK,CAAC,IAAIc,EAAEZ,EAAEY,EAAE,IAAIo7E,GAAGj8E,EAAE07E,EAAE,EAAE76E,EAAE,IAAIs6E,GAAGn7E,EAAE07E,EAAE,EAAE,IAAI56E,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOhC,EAAE,MAAMmB,EAAE,MAAM1B,CAAC,CAAC,EAAEA,CAAC,EAAEyC,EAAE,KAAK,SAASD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBlC,CAAC,EAAE,GAAGP,IAAI,SAAS,OAAO,EAAE,IAAI,EAAE,KAAK,cAAc,KAAKqC,EAAE,IAAIA,EAAElE,EAAE,IAAI,GAAG,IAAI,EAAE,GAAG6B,IAAI,YAAY,CAAC,IAAIuC,EAAE,KAAK,SAASf,EAAE,KAAK,MAAM,EAAEgB,EAAE,KAAK,SAAShB,EAAE,KAAK,MAAM,EAAE,EAAE7T,EAAE,uBAAuB4U,EAAEC,CAAC,CAAC,MAAM,EAAE,KAAK,qBAAqBjC,CAAC,EAAE,OAAO,IAAI,KAAK,gBAAgBpC,EAAE,IAAI,EAAEkE,GAAG,KAAK,qBAAqB9B,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKA,EAAE,CAAC,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,CAAC,IAAIkC,EAAE,KAAK,YAAY,IAAIlC,CAAC,EAAE,OAAO,IAAI,QAAQoD,GAAGlB,EAAE,KAAKkB,CAAC,CAAC,CAAC,CAAC,IAAI9D,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAO,EAAE,MAAMP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,mBAAmBC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG2B,GAAG,KAAK,CAAC,IAAIiB,EAAEd,EAAEc,EAAE,IAAIk7E,GAAG39E,EAAEo9E,EAAE,EAAE36E,EAAE,IAAIo6E,GAAG78E,EAAEo9E,EAAE,EAAE,IAAIz5E,EAAE,KAAK,gBAAgBlB,EAAE,CAAC,CAAC,OAAOlC,EAAE,MAAMP,EAAE,MAAMyB,CAAC,CAAC,EAAEA,CAAC,EAAEmC,EAAE,KAAK,KAAKD,EAAE,MAAM,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEC,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,KAAK,qBAAqBrD,CAAC,EAAE,GAAGhP,EAAE,EAAE,QAAQ,OAAO,GAAG,CAACA,EAAE,EAAE,QAAQ,8BAA8B,GAAGA,EAAE,EAAE,UAAU,eAAe,IAAI,EAAE,MAAM,IAAI,MAAM,8FAA8F,EAAE,IAAI,EAAE,KAAK8Q,EAAE,GAAGZ,IAAI,aAAalQ,EAAE,EAAE,IAAI,wBAAwB,EAAE,CAAC8Q,EAAE,KAAK,OAAO9B,CAAC,EAAE,IAAIkC,EAAE,KAAK,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,wBAAwBI,EAAE,QAAQ,QAAQ,GAAG8vE,GAAGvyE,CAAC,CAAC,CAAC,CAAC,KAAK,YAAY,IAAIO,EAAE,CAAC,CAAC,EAAEkB,IAAI,aAAa,MAAM,KAAK,MAAM,sBAAsB,EAAE,IAAI,EAAE,GAAGA,IAAI,YAAY,CAAC,IAAIgB,EAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKf,EAAE,KAAK,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,MAAM,CAAC,CAAC,EAAEiC,EAAElB,EAAE,CAAC,EAAEmB,EAAEnB,EAAE,CAAC,EAAE,EAAE9U,EAAE,uBAAuBgW,EAAEC,CAAC,CAAC,SAAS,GAAG,KAAK,EAAE,KAAK,qBAAqBrD,CAAC,MAAM,CAAC,IAAIkC,EAAEtE,EAAE,cAAc6B,CAAC,EAAE,EAAE,KAAK,MAAM,gCAAgC,EAAEyC,CAAC,CAAC,CAAC,GAAGJ,GAAG,MAAM,KAAK,8BAA8BA,CAAC,EAAE,GAAG,KAAK,CAAC,IAAII,EAAE,KAAK,MAAM,GAAG+sE,GAAG/sE,EAAE,IAAIA,EAAE,aAAa,CAAC,CAAC,CAAC,CAAC,IAAIF,EAAE,KAAK,qBAAqBhC,EAAE,CAAC,EAAEiC,EAAE,KAAK,YAAY,IAAIjC,CAAC,EAAE,OAAO,KAAK,YAAY,OAAOA,CAAC,EAAEiC,EAAE,QAAQC,GAAGA,EAAEF,CAAC,CAAC,EAAE,KAAK,gBAAgB,IAAIhC,CAAC,IAAI,KAAK,gBAAgB,OAAOA,CAAC,EAAE,KAAK,YAAYA,CAAC,GAAGjP,GAAG,EAAE,aAAaiP,EAAE,IAAI,EAAE,KAAK,kBAAkBgC,CAAC,CAAC,UAAUhC,EAAEV,EAAE,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,OAAOP,EAAE,MAAMwB,EAAE,MAAMC,EAAE,MAAMC,EAAE,SAASC,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAGD,IAAI,YAAY,MAAM,IAAI,MAAM,uDAAuD,EAAE,GAAGD,GAAG,KAAK,CAAC,IAAIe,EAAEb,EAAEa,EAAE,IAAIm7E,GAAGn8E,EAAE47E,EAAE,EAAE56E,EAAE,IAAIq6E,GAAGr7E,EAAE47E,EAAE,EAAE,IAAI36E,EAAE,KAAK,gBAAgBD,EAAE,CAAC,CAAC,OAAOjC,EAAE,MAAMiB,EAAE,MAAME,CAAC,CAAC,EAAEA,CAAC,EAAEiC,EAAE,KAAK,UAAUlB,EAAE5C,CAAC,EAAE,OAAO,KAAK,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,GAAG,GAAG,KAAK,MAAM3D,GAAG,KAAK,IAAI,MAAM,gCAAgC,EAAE,IAAI,MAAM,iCAAiC,EAAE,IAAIqC,EAAE,KAAK,OAAO9B,EAAEV,EAAE,cAAc,EAAE,EAAEvO,GAAG,EAAE,yBAAyB+Q,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAIF,EAAE,MAAM,EAAE,OAAO,OAAO,OAAO,CAAC,UAAU,CAAC,EAAEE,EAAE,OAAO,CAAC,CAAC,WAAWhC,EAAE,CAAC,IAAIV,EAAE,KAAK,SAASU,EAAE,MAAM,EAAE,GAAGA,EAAE,QAAQ,SAAS,GAAG,CAAC,IAAI,EAAEV,EAAE,IAAIG,GAAG7B,EAAE,aAAa6B,CAAC,CAAC,EAAE,OAAOxR,GAAG+R,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,OAAO,EAAN,CAAS,MAAM,IAAI,MAAM,kDAAkD,CAAC,CAAC,OAAO/R,GAAG+R,EAAE,MAAMA,EAAE,MAAMV,CAAC,CAAC,CAAC,uBAAuBU,EAAE,CAAC,GAAGA,GAAG,KAAK,QAAQV,EAAE,EAAEA,EAAEU,EAAE,OAAOV,IAAI,CAAC,IAAI,EAAEU,EAAEV,CAAC,EAAE,GAAG,CAAC4vE,GAAG,CAAC,EAAE,MAAMl+E,EAAE,EAAE,QAAQ,8BAA8B,EAAE,MAAM,aAAa,gJAAgJ,EAAE,MAAM,aAAa,yCAAyC,CAAC,CAAC,CAAC,qBAAqBgP,EAAE,CAAC,GAAG,CAAC,MAAMV,EAAE,MAAM,EAAE,SAASG,CAAC,EAAE,KAAK,QAAQ,IAAIO,CAAC,EAAEiB,EAAErD,EAAE,cAAc0B,CAAC,EAAE,GAAGtO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,CAAC,IAAIgR,EAAE,KAAK,OAAOhC,CAAC,EAAEiC,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAEE,EAAE,KAAK,MAAM,gCAAgCD,EAAE,QAAQ,QAAQ,GAAG+vE,GAAG1yE,CAAC,CAAC,EAAE,SAAS,EAAE2B,CAAC,EAAE,OAAO,KAAK,8BAA8Be,CAAC,EAAEE,CAAC,CAAC,IAAIhB,EAAElQ,EAAE,EAAE,QAAQ,YAAY,GAAGyO,IAAI,GAAG0B,EAAED,EAAEgvE,GAAG5wE,CAAC,EAAEA,EAAE8B,EAAEF,EAAE,IAAI61E,GAAG51E,CAAC,EAAE,IAAI21E,GAAG31E,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAM,EAAE,OAAOnB,CAAC,CAAC,EAAE,SAAS,EAAE8B,EAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,EAAE,KAAK,MAAM,gDAAgDA,EAAE,QAAQ,QAAQA,EAAE,SAAS,CAAC,EAAEA,EAAE,SAAS,CAAC,CAAC,EAAE,SAAS,EAAEb,CAAC,EAAE,OAAO,KAAK,8BAA8B,CAAC,EAAE,CAAC,CAAC,gBAAgB,CAAC,OAAOjQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,CAAC,CAAC,KAAKgP,EAAE,CAAC,IAAIV,EAAE,KAAK,aAAa,EAAE,CAAC,EAAEG,EAAE,GAAG,KAAK,oBAAoB,MAAM,KAAK,mBAAmB,EAAEA,EAAE,IAAI,KAAK,aAAa,KAAK,CAAC,EAAE,KAAK,aAAa,EAAEO,EAAE,EAAE,IAAIiB,EAAErD,EAAE,QAAQ,KAAK,aAAa,IAAIwD,GAAGA,EAAE,KAAK,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAEF,EAAEtD,EAAE,QAAQ,KAAK,aAAa,IAAIwD,GAAGA,EAAE,IAAI,CAAC,EAAE,OAAOA,GAAGA,GAAG,IAAI,EAAE,KAAK,aAAa9B,EAAEG,IAAI,KAAK,mBAAmB,MAAM,IAAI0B,EAAE,CAAC,aAAa,KAAK,aAAa,eAAe,KAAK,eAAe,SAAS,KAAK,OAAO,IAAI,EAAE,OAAO,SAAS,CAAC,GAAGnQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,CAAC,IAAIoQ,EAAE,MAAM,QAAQ,IAAIH,CAAC,EAAEE,EAAE,SAASvD,EAAE,IAAIwD,CAAC,EAAED,EAAE,oBAAoB,IAAIC,EAAE,IAAI,CAAC,EAAEU,KAAK,CAAC,KAAKZ,EAAEY,CAAC,EAAE,GAAG,CAAC,EAAE,EAAE,IAAI,GAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,CAAC,MAAMX,EAAE,SAAS,CAAC,MAAM,2DAA2D,EAAE,OAAO,KAAK,aAAa,EAAE,KAAK,eAAe,EAAEA,CAAC,GAAG,CAAC,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,GAAG,cAAc,KAAK,cAAc,uBAAuB,KAAK,eAAe,kBAAkB,kBAAkB,KAAK,eAAe,YAAY,CAAC,CAAC,YAAY,CAAC,OAAOnQ,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,KAAK,MAAM,WAAW,EAAE,CAAC,QAAQ4M,EAAE,IAAI,EAAE,MAAM,IAAI,CAAC,CAAC,SAASoC,EAAE,CAAC,OAAOhP,EAAE,EAAE,UAAU,+CAA+C,EAAE,GAAG,KAAK,MAAM,SAAS,EAAEgP,IAAIA,EAAE,MAAMpC,EAAE,IAAI,EAAEoC,EAAE,CAAC,MAAM,aAAaA,EAAE,CAAC,GAAGhP,EAAE,EAAE,UAAU,+CAA+C,EAAE,EAAE,OAAO,KAAK,MAAM,uBAAuBgP,CAAC,EAAE,IAAIV,EAAEU,EAAE,OAAOV,EAAE,MAAMA,EAAE,OAAO,CAAC,YAAYU,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,gBAAgB,IAAIU,CAAC,EAAE,MAAM,GAAG,GAAG,CAAC,KAAK,QAAQ,IAAIA,CAAC,EAAE,MAAM,GAAG,GAAGV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,SAAS,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,WAAW,CAACV,GAAG,KAAK,QAAQ,IAAIU,CAAC,EAAE,SAAS,EAAE,MAAM,GAAG,GAAG,KAAK,YAAY,IAAIA,CAAC,EAAE,OAAO,KAAK,gBAAgB,IAAIA,CAAC,EAAE,KAAK,iBAAiB,GAAG,KAAK,eAAeA,CAAC,EAAE,GAAG,CAAC,mBAAmB,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,OAAO,GAAG,OAAO,KAAK,YAAY,EAAE,KAAK,OAAOV,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,OAAOA,CAAC,GAAG,KAAK,QAAQ,OAAOU,CAAC,EAAE,EAAE,CAAC,eAAeA,EAAE,CAAC,GAAG,CAAC,QAAQV,EAAE,MAAM,EAAE,SAASG,EAAE,MAAMwB,EAAE,SAASC,EAAE,MAAMC,CAAC,EAAE,KAAK,QAAQ,IAAInB,CAAC,EAAEoB,EAAED,GAAGA,EAAE,YAAYnB,EAAE,EAAE,KAAK,aAAa,IAAIoB,CAAC,EAAE,EAAE,EAAE,KAAK,aAAa,IAAIA,EAAE,EAAE,CAAC,GAAG,KAAK,aAAa,OAAOA,CAAC,EAAE9B,GAAG,OAAO,KAAK,eAAe,KAAK,aAAaG,EAAE,CAAC,EAAE,KAAK,eAAe,eAAeH,EAAEG,EAAEwB,EAAEC,CAAC,IAAI,IAAIY,EAAE,KAAK,QAAQ,IAAI9B,CAAC,EAAE8B,EAAE,QAAQ,KAAKA,EAAE,SAAS,KAAKA,EAAE,SAAS,GAAGA,EAAE,MAAM,IAAI,CAAC,WAAW9B,EAAE,CAAC,OAAO,KAAK,YAAYA,CAAC,EAAE,KAAK,QAAQ,IAAIA,CAAC,EAAE,QAAQ,OAAO,CAAC,YAAYA,EAAE,CAAC,OAAO,KAAK,QAAQ,IAAIA,CAAC,CAAC,CAAC,mBAAmBA,EAAEV,EAAEq+E,GAAI,CAAC,OAAO3sF,EAAE,EAAE,QAAQ,mBAAmB,GAAGgP,EAAE,MAAM,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,SAAS,MAAMpC,EAAE,cAAc,EAAE,KAAK,EAAE0B,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,KAAK,KAAK,CAAC,MAAMU,EAAE,CAAC5S,EAAE,KAAK,uEAAuE,EAAE,IAAIkS,EAAEU,EAAE,SAAS,EAAE,OAAOs9E,GAAIt9E,EAAE,MAAMV,CAAC,CAAC,CAAC,cAAcU,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,IAAI29E,GAAGp9E,EAAE,MAAMV,CAAC,EAAE2B,EAAE,KAAK,cAAcxB,EAAE,CAACO,CAAC,EAAE,CAAC,EAAE,OAAOjP,GAAG,EAAE,yBAAyBkQ,CAAC,CAAC,CAAC,IAAIjB,EAAE,CAAC,GAAG,KAAK,mBAAmB,CAACA,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIP,EAAEi7E,GAAG,KAAK,QAAQ,IAAI16E,EAAE,MAAM,EAAE,MAAM,EAAE,OAAO,KAAK,WAAWA,EAAE,MAAMA,EAAE,MAAMP,CAAC,CAAC,CAAC,GAAGzO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,OAAO,KAAK,cAAcgP,EAAEy8E,GAAGz8E,EAAE,KAAK,EAAE,IAAIV,EAAE,IAAIg9E,GAAGt8E,EAAE,MAAMy8E,EAAE,EAAE,EAAE,KAAK,cAAcn9E,EAAE,CAACU,CAAC,CAAC,EAAE,OAAOjP,GAAG,EAAE,yBAAyB,CAAC,CAAC,CAAC,eAAeiP,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAGH,IAAI,UAAU,GAAG,MAAM,EAAE,OAAO,GAAG1B,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,IAAIqD,EAAE,EAAE,IAAIC,GAAGtD,EAAE,aAAasD,CAAC,CAAC,EAAEzB,EAAE,KAAK,MAAMwB,EAAEjB,EAAEV,CAAC,CAAC,MAAMG,EAAE,KAAK,MAAM,EAAEO,EAAEV,CAAC,EAAE,OAAO,KAAK,QAAQ,IAAIG,CAAC,EAAE,MAAM,KAAK,CAAC,OAAOA,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,WAAWU,EAAEV,EAAE,EAAE,CAAC,OAAOvO,GAAG,EAAE,yBAAyB,KAAK,eAAeiP,EAAEV,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,aAAaU,EAAE,CAAC,IAAIV,EAAE,IAAI+9E,GAAGr9E,EAAE,KAAK,EAAE,OAAO,KAAK,gBAAgBV,EAAE,CAACU,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,WAAWA,EAAE,CAAC,IAAIV,EAAE,IAAIs8E,GAAG57E,EAAE,KAAK,EAAE,EAAE,GAAG,OAAO,KAAK,gBAAgBV,EAAE,CAACU,CAAC,EAAEA,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,cAAcA,EAAEV,EAAE,CAAC,IAAI,EAAE,CAACowE,GAAG1vE,EAAE,KAAK,EAAE,GAAGiwE,GAAGjwE,EAAE,KAAK,CAAC,EAAEP,EAAE,CAAC,MAAMO,EAAE,MAAM,MAAM,EAAE,OAAOA,EAAE,MAAM,EAAEiB,EAAE,CAACyuE,GAAGpwE,CAAC,EAAE,GAAG2wE,GAAG3wE,CAAC,CAAC,EAAE4B,EAAE,IAAI26E,GAAG56E,EAAE,CAAC,EAAEE,EAAE,GAAGC,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBF,EAAE,CAACzB,CAAC,EAAEO,EAAE,MAAMoB,EAAED,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM7B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,OAAOU,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,SAASP,EAAE,MAAMwB,EAAE,MAAMC,CAAC,EAAE,EAAE,GAAG5B,GAAG,KAAK,CAAC,IAAI0C,EAAEpE,EAAE,cAAcqD,CAAC,EAAEgB,EAAE3C,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE1B,EAAE,OAAOoE,GAAGC,EAAE,IAAI,2GAA2G,CAAC,CAAC,IAAId,EAAE+uE,GAAGjvE,CAAC,EAAEG,EAAE3B,EAAE2B,EAAE,IAAIy1E,GAAG11E,CAAC,EAAEC,EAAE,IAAIw1E,GAAGz1E,CAAC,EAAE,IAAI,EAAE,GAAGW,EAAE,CAACxC,GAAG,KAAKA,EAAE0yE,GAAG7wE,CAAC,CAAC,EAAE,EAAE,KAAK,gBAAgBC,EAAE,CAAC,CAAC,MAAMD,EAAE,MAAMD,EAAE,OAAOlB,CAAC,CAAC,EAAEkB,EAAEY,EAAE,EAAExC,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,MAAMD,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,gBAAgBjB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAGC,EAAE,CAAC,IAAIC,EAAE,KAAK,eAAenB,EAAE,YAAY,CAAC,EAAEoB,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE,GAAGnB,EAAE,eAAeoB,EAAE,SAAS,IAAIpB,EAAE,mBAAmB2xE,GAAG,MAAM,CAAC,IAAIjrE,EAAExF,GAAG,KAAKA,EAAE8wE,GAAGhyE,EAAE,WAAW,EAAEoB,EAAE,SAASsF,EAAE,IAAIxC,GAAGA,EAAE,CAAC,CAAC,CAAC,GAAGlE,EAAE,aAAa,OAAOoB,EAAE,MAAMpB,EAAE,aAAapC,EAAE,cAAcuD,EAAE,KAAK,IAAI,EAAE,OAAOC,EAAE,OAAOxD,EAAE,uBAAuBuD,EAAE,MAAM,CAAC,EAAEA,EAAE,IAAI,EAAE,CAAC,EAAEW,EAAExC,EAAE,IAAIoH,GAAG,CAAC,GAAGA,EAAE,QAAQ,YAAY,MAAM,IAAI,MAAM,iIAAiI,EAAE,IAAIxC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,EAAE,GAAGxC,EAAE,SAAS,KAAK,CAAC,GAAG,CAAClE,EAAE,cAAcpC,EAAE,cAAc8I,EAAE,KAAK,GAAG1V,EAAE,EAAE,UAAU,2BAA2B,EAAE,MAAM,CAAC,MAAM0V,EAAE,MAAM,QAAQ,KAAK,UAAU,GAAG,cAAcxC,EAAE,MAAM,EAAElE,EAAE,eAAekE,EAAE,SAAS,GAAGA,EAAE,MAAMwC,EAAE,MAAM,CAAC,GAAG,KAAK,YAAYA,EAAE,MAAM,EAAE,CAAC,CAACxC,EAAE,UAAU,CAAC,CAAClE,EAAE,aAAa0G,EAAExC,EAAE,SAAS,KAAK,aAAawC,CAAC,EAAE,KAAK,WAAWA,CAAC,EAAE,EAAE,KAAKA,CAAC,EAAExC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,UAAUxC,EAAE,UAAU,CAACwsE,GAAGxsE,EAAE,MAAMwC,EAAE,KAAK,EAAE,CAAC,IAAI7C,EAAE6C,EAAE5C,EAAE4C,EAAE,MAAMA,EAAE,MAAMxC,EAAE,MAAMwC,EAAE,KAAK,cAAcA,EAAE5C,CAAC,EAAE,EAAE,KAAK4C,CAAC,EAAExC,EAAE,KAAK,QAAQ,IAAIwC,EAAE,MAAM,EAAE7C,EAAE,MAAMC,CAAC,CAAC,MAAM,CAAC,MAAM4C,EAAE,MAAM,QAAQxC,EAAE,UAAU,EAAE,CAAC,CAAC,EAAE,KAAK,YAAY/C,EAAE,MAAM,EAAE,IAAI,EAAE,CAAC,MAAMA,EAAE,MAAM,QAAQC,EAAE,UAAU,EAAE,EAAEY,EAAE00E,GAAG12E,EAAE8B,EAAE,CAAC,EAAEG,EAAE,KAAK,iBAAiBD,EAAE,IAAIs0E,GAAG,KAAK,MAAMt2E,EAAE8B,EAAE,CAAC,CAAC,EAAEI,EAAE,KAAK,cAAc,KAAKkB,EAAElB,IAAIkB,EAAE,KAAK,WAAW,GAAGpS,EAAE,EAAE,IAAI,qBAAqB,GAAGylF,GAAG,KAAK,MAAMx0E,EAAEH,EAAE,EAAErC,CAAC,EAAE,EAAE,QAAQiH,GAAG,KAAK,8BAA8BA,CAAC,CAAC,EAAExE,IAAIkB,EAAE,KAAK,SAASA,CAAC,EAAE,KAAK,aAAa,KAAK,CAAC,KAAKpD,EAAE,YAAY,KAAK,MAAM,KAAK,aAAaoD,CAAC,CAAC,CAAC,GAAG,IAAIC,EAAErS,EAAE,EAAE,IAAI,uBAAuB,EAAE,GAAGqS,EAAE,EAAE,CAAC,IAAIqD,EAAE9I,EAAE,IAAI,EAAE8I,EAAE,KAAK,gBAAgBrD,IAAI,KAAK,MAAM,GAAG,MAAM,EAAE,KAAK,gBAAgBqD,EAAE,CAAC,GAAG,CAAC1V,EAAE,EAAE,QAAQ,qBAAqB,GAAGoQ,EAAE,UAAUH,IAAI,GAAG,CAAC,IAAIyF,EAAE,KAAK,aAAavF,CAAC,EAAE,OAAO,KAAK,8BAA8BA,CAAC,EAAEuF,CAAC,CAAC,OAAOvF,CAAC,CAAC,cAAcnB,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,GAAG,CAAC,OAAO,EAAE,GAAG3B,EAAE,CAAC,EAAE,MAAM,KAAK,gBAAgBU,EAAEV,EAAE,EAAEG,EAAEwB,CAAC,CAAC,CAAC,iBAAiBjB,EAAEV,EAAE,CAAC,OAAOU,KAAK,KAAK,cAAc,KAAK,YAAYA,CAAC,EAAEV,EAAE,GAAG,KAAK,YAAYU,CAAC,CAAC,CAAC,mBAAmB,CAAC,OAAO,KAAK,cAAc,CAAC,SAAS,CAAC,KAAK,WAAWhP,EAAE,EAAE,QAAQ,SAAS,GAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,GAAG,CAAC,KAAK,MAAM,cAAc,KAAK,YAAY,CAAC,EAAE,YAAY,EAAE,OAAO,KAAK,YAAY,CAAC,CAAC,CAAC,EAAE,KAAK,eAAe,QAAQ,EAAE,KAAK,QAAQ,MAAM,OAAO,mBAAmB,aAAa,KAAK,kBAAkB,kBAAkB,KAAK,OAAO,OAAO,EAAE,KAAK,OAAO,KAAK,KAAK,sBAAsB,KAAK,MAAM,QAAQ,KAAK,KAAK,MAAM,QAAQ,GAAG,KAAK,SAAS,GAAG,CAAC,gBAAgB,CAAC,OAAO,KAAK,qBAAqB,OAAO,KAAK,oBAAoB8L,EAAE,IAAI,CAAC,GAAG,CAAC9L,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIgP,EAAEhP,EAAE,EAAE,QAAQ,OAAO,EAAEA,EAAE,EAAE,IAAI,QAAQ,EAAE,EAAE,IAAIsO,EAAE,KAAK,IAAI/F,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,CAAC,EAAE,GAAGvI,EAAE,EAAE,IAAI,QAAQgP,CAAC,EAAEV,EAAE,EAAE,MAAO,GAAE,CAAC,MAAO,GAAE,CAAC,GAAG,KAAK,mBAAmB,CAAC,SAAS,CAAC,OAAO,KAAK,eAAe,IAAI,GAAGi+E,GAAIC,EAAG,CAAC,YAAYx9E,EAAE,CAAC,IAAIV,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,MAAM,EAAE,MAAMP,EAAE,OAAOwB,EAAE,QAAQC,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAE9B,EAAE,GAAG4B,GAAG,KAAK,OAAO,IAAI,EAAE,KAAK,cAAc,KAAKY,EAAE,IAAIA,EAAElE,EAAE,IAAI,GAAG,IAAI,EAAE0B,EAAE,SAAS,GAAG,GAAG,OAAO,EAAE6wE,GAAG,EAAE/uE,CAAC,EAAE9B,EAAE,SAAS,GAAG2B,GAAG,KAAK,CAAC,IAAIe,EAAEkuE,GAAG,CAAC,EAAEjuE,EAAEC,EAAE,EAAE,CAAC,EAAEkB,EAAE,EAAE,CAAC,EAAEC,EAAEpC,aAAa,YAAYA,aAAa,mBAAmBG,GAAG,CAACiC,KAAK,CAACnB,EAAEkB,CAAC,EAAE6uE,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG7wE,EAAEa,EAAE,IAAIi1E,GAAGl1E,EAAEqB,CAAC,EAAEpB,EAAE,IAAIg1E,GAAGj1E,EAAEqB,CAAC,EAAE,IAAIqD,EAAErD,EAAE,CAACD,EAAElB,CAAC,EAAE,EAAEgC,EAAE,KAAK,eAAewC,EAAEjH,CAAC,EAAEoE,EAAE,KAAK,QAAQ,IAAIK,EAAE,MAAM,EAAEb,EAAEQ,EAAE,MAAM+tE,GAAG,OAAO/tE,EAAE,MAAM+tE,GAAG,OAAO/tE,EAAE,SAAS6C,EAAE,KAAK,MAAM,2BAA2B,KAAK,WAAWxC,EAAE,MAAM,EAAEhC,EAAEkB,EAAEnC,CAAC,EAAE,IAAI6C,EAAE,CAAC,CAACV,EAAElB,CAAC,CAAC,EAAE6B,EAAE,GAAGC,EAAE,KAAK,gBAAgB/B,EAAE,CAACiC,CAAC,EAAEzE,EAAEqE,EAAEC,CAAC,EAAEE,EAAE,KAAK,QAAQ,IAAID,EAAE,MAAM,EAAE1E,EAAE,SAAS2E,EAAE,SAAS3E,EAAE,SAAS2E,EAAE,SAAS3E,EAAE,MAAM2E,EAAE,MAAMjT,EAAE,EAAE,IAAI,qBAAqB,EAAE,KAAK,YAAYgT,EAAE,MAAM,GAAG1E,EAAE,QAAQ2E,EAAE,QAAQ3E,EAAE,OAAO,KAAK,KAAK,QAAQ,OAAO0E,EAAE,MAAM,GAAG,KAAK,8BAA8BE,CAAC,EAAE,IAAI,KAAK,cAActG,EAAE,IAAI,EAAEkE,EAAE,KAAK,CAAC,IAAIE,EAAE,KAAK,eAAe,EAAEb,EAAE1B,EAAE2B,CAAC,EAAE9B,EAAE,QAAQ0C,CAAC,CAAC,CAAC,qBAAqBhC,EAAEV,EAAE,CAAC,IAAI,EAAE,KAAK,QAAQ,IAAIU,CAAC,EAAE,CAAC,MAAMP,CAAC,EAAE,EAAE,OAAOH,GAAG,OAAO,EAAE,OAAOw+E,GAAIx+E,EAAEG,CAAC,GAAG,EAAE,MAAM,CAAC,eAAeO,EAAEV,EAAE,EAAEG,EAAE,CAAC,GAAG,KAAK,eAAe,KAAK,aAAaO,EAAE,CAAC,EAAE,CAAC,KAAK,mBAAmB,KAAK,cAAc,KAAK,mBAAmB,KAAK,KAAK,CAAC,IAAIiB,GAAG,KAAK,cAAc,KAAK,MAAM,QAAQ,CAAC,EAAE,KAAK,kBAAkB,GAAG,QAAQ,KAAK,6BAA6BA,wCAAwC,CAAC,CAAC,OAAO,KAAK,eAAe,eAAejB,EAAEV,EAAEG,CAAC,CAAC,CAAC,aAAaO,EAAEV,EAAE,CAAC,OAAOU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEpC,EAAE,gBAAgB0B,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,CAAC,CAACU,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,KAAK,iBAAiBA,CAAC,CAAC,CAAC,MAAM,6BAA6B,CAAC,IAAIA,EAAE,CAAC,EAAE,GAAG,KAAK,MAAM,6BAA6B,CAAC,OAAO,CAAC,CAACV,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAEU,EAAE,KAAK,KAAK,sBAAsBV,CAAC,CAAC,EAAE,OAAO,QAAQ,IAAIU,CAAC,CAAC,KAAK,CAAC,OAAO,CAAC,CAACV,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,IAAI,EAAE,IAAI,QAAQG,GAAG,CAAC,GAAG,CAAC,KAAK,iBAAiBH,CAAC,EAAEG,EAAE,EAAE,CAAC,OAAOwB,EAAN,CAAS,MAAMA,CAAC,CAAC,CAAC,EAAEjB,EAAE,KAAK,CAAC,CAAC,CAAC,OAAO,QAAQ,IAAIA,CAAC,CAAC,CAAC,CAAC,MAAM,sBAAsBA,EAAE,CAAC,OAAO,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,6BAA6B,qBAAqB,EAAE,KAAK,iBAAiBA,CAAC,GAAG,MAAM1J,GAAG,EAAE,KAAK,sBAAsB0J,CAAC,EAAE,CAAC,iBAAiBA,EAAE,CAAC,GAAG,KAAK,MAAM,GAAG,oBAAoBA,EAAE,aAAa,KAAK,MAAM,GAAG,WAAW,IAAI,GAAG,MAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkBA,EAAE,YAAY,CAAC,EAAE,KAAK,MAAM,GAAG,mBAAmBA,EAAE,eAAe,KAAK,MAAM,GAAG,cAAc,IAAI,IAAI8wE,GAAG9wE,EAAE,OAAO,KAAK,MAAM,GAAG,iBAAiBA,EAAE,cAAc,CAAC,EAAE,IAAI,MAAM,oCAAoC,GAAG,IAAI,MAAM,6CAA6C,EAAE,MAAM,EAAE,CAAC,qBAAqB,CAAC,OAAO,CAAC,CAACA,CAAC,IAAI,OAAO,QAAQ,KAAK,WAAW,EAAE,CAAC,GAAG,CAAC,iBAAiBV,EAAE,uBAAuB,EAAE,OAAOG,EAAE,OAAOwB,EAAE,kBAAkBC,EAAE,qBAAqBC,EAAE,iBAAiBC,EAAE,wBAAwB,EAAE,oBAAoBU,CAAC,EAAEy0E,GAAG,KAAK,MAAMv2E,EAAE,QAAQA,EAAE,YAAY,EAAEA,EAAE,iBAAiBV,EAAEU,EAAE,uBAAuB,EAAEA,EAAE,OAAOP,EAAEO,EAAE,OAAOiB,EAAEjB,EAAE,kBAAkBkB,EAAElB,EAAE,qBAAqBmB,EAAEnB,EAAE,iBAAiBoB,EAAEpB,EAAE,wBAAwB,EAAEA,EAAE,oBAAoB8B,CAAC,CAAC,CAAC,wBAAwB9B,EAAEV,EAAE,EAAE,CAACU,EAAE,SAASA,EAAE,UAAU,OAAO,GAAG,CAAC,QAAQP,EAAE,OAAOwB,EAAE,MAAMC,EAAE,SAASC,CAAC,EAAEnB,EAAEoB,EAAErQ,GAAG,EAAE,QAAQ,GAAG,CAACqQ,EAAE,MAAM,GAAG,UAAU3B,CAAC,EAAE,MAAM,IAAI,MAAM,+RAA+R,EAAE,IAAI,EAAE2B,EAAE,aAAa3B,EAAEH,EAAE,EAAE2B,EAAEC,EAAEC,CAAC,EAAE,OAAOpQ,GAAG,EAAE,qBAAqB,EAAEuO,EAAE,EAAE8B,CAAC,CAAC,CAAC,EAAErb,GAAG,WAAW,EAAE,SAAS+3F,GAAI1+E,EAAE,EAAE,CAAC,GAAG,IAAI,WAAW,IAAI,YAAY,OAAOA,EAAE,GAAG,IAAI,SAAS,IAAI,OAAO,CAAC,IAAIE,EAAE,IAAI,QAAQ,IAAI,WAAWF,EAAE,MAAM,EAAE,IAAI,WAAWA,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAO,EAAEE,EAAEF,EAAEE,CAAC,EAAE,KAAK,MAAMJ,EAAEI,CAAC,CAAC,EAAE,OAAOF,CAAC,KAAM,OAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,IAAIhB,GAAG,QAAQ,SAASxM,IAAI,CAACd,EAAE,EAAE,IAAI,2BAA2B,EAAE,CAAC,CAAChB,GAAG,UAAU,GAAGqI,GAAG,QAAQ,IAAI,IAAItS,GAAG,CAAC,EAAE,IAAIwY,GAAI,CAAC,eAAezM,EAAE,EAAMisF,GAAG;AAAA;AAAA;AAAA,EAGjziBC,GAAG,KAAK,CAAC,YAAYh+E,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYlS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,KAAK,oBAAoBq3E,GAAG,KAAK,YAAY,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3K32E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQL,CAAC,EAAMi+E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKTC,GAAG,KAAK,CAAC,YAAYl+E,EAAEV,EAAE,EAAEG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,qBAAqB,GAAG,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYrS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,IAAI2B,EAAE,KAAK,YAAY,OAAO,KAAK,oBAAoB01E,GAAG11E,CAAC,EAAE,IAAIC,EAAE,GAAG,GAAGzB,EAAE,GAAGwB,IAAI,GAAGrD,EAAE,cAAc,KAAK,WAAW,IAAI,EAAEsD,EAAE;AAAA;AAAA;AAAA;AAAA,kBAIzSA,EAAE;AAAA,YACRm1E,GAAGp1E,CAAC;AAAA,UACNA,IAAI,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA;AAAA;AAAA,YAIhCA,GAAG;AAAA,yCAC0B,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA,gBAG3C,CAAC,IAAIE,EAAEs6E,GAAG,SAASz6E,CAAC,EAAE,KAAK,oBAAoBC,GAAG;AAAA;AAAA,iBAEjDE,EAAEH,EAAE,CAAC,sBAAsBA;AAAA;AAAA,iBAE3BG,EAAEH,EAAE,CAAC,sBAAsBA;AAAA;AAAA;AAAA;AAAA,YAIhCC,GAAG;AAAA;AAAA,iBAEEE,EAAEH,EAAE,CAAC,aAAa,KAAK,YAAYA,EAAE,CAAC;AAAA;AAAA,iBAEtCG,EAAEH,EAAE,CAAC,aAAa,KAAK,YAAYA,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,WAI5C,CAAC,KAAK,SAAS;AAAA;AAAA,UAEhBjB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQAkB;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAE,SAASi9E,GAAG/+E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,OAAOF,EAAE,OAAOE,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI4+E,GAAG,CAAC,WAAW55F,GAAG,YAAY,QAAQ,WAAW25F,EAAE,EAAE,SAASE,GAAGj/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,KAAKC,CAAC,EAAE,EAAE,EAAEH,EAAE,eAAeE,EAAE,MAAM,WAAW,EAAE,EAAEF,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE6B,EAAEg9E,GAAG,CAAC,OAAO,CAAC,EAAE3+E,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE8B,EAAE+8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAO,EAAE,mBAAmB,CAAC,KAAK6B,EAAE,KAAKC,CAAC,EAAE,CAAC,CAAC,IAAIk9E,GAAG,CAAC,WAAWn9F,GAAG,YAAY,QAAQ,WAAWk9F,EAAE,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGngB,SAASC,GAAIr/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEF,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAEuD,EAAEnQ,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGM,GAAG/+E,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIu+E,GAAGO,GAAG9+E,EAAE,MAAM,EAAE,KAAK,EAAE2B,EAAE9B,EAAE,gBAAgB6B,EAAE,CAAC1B,EAAE,CAAC,EAAE,SAAS,EAAE,OAAOH,EAAE,8BAA8B,CAAC,EAAE8B,CAAC,CAAC,IAAIs9E,GAAG,CAAC,WAAWv5F,GAAG,YAAY,QAAQ,WAAWs5F,EAAG,EAAME,GAAG,+BAA+BC,GAAG;AAAA;AAAA;AAAA,EAGla,SAASC,GAAIz/E,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEzO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGU,GAAGp/E,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIu+E,GAAGW,GAAGn/E,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIq/E,GAAG,CAAC,WAAWj3F,GAAG,YAAY,QAAQ,WAAWg3F,EAAG,EAAME,GAAG,0BAA0B,SAASC,GAAG,CAAC,UAAU5/E,EAAE,gBAAgB,EAAE,cAAcE,EAAE,MAAME,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAOC,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,EAAEA,EAAE0B,EAAE,EAAEC,EAAE5B,GAAG,EAAE,MAAM,GAAG2B,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAG7B,GAAG,KAAK,CAAC,IAAIyC,EAAEZ,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAEa,EAAE1C,EAAEyC,EAAE,OAAOX,CAAC,EAAE,OAAOD,EAAE,eAAe,EAAE,MAAMC,EAAEY,CAAC,CAAC,CAAC,IAAIX,EAAErQ,EAAE,EAAE,QAAQ,6BAA6B,GAAG,GAAG,KAAK8Q,EAAE,OAAOT,EAAES,EAAE,IAAIs7E,GAAG,EAAE,MAAM,CAAC,EAAEt7E,EAAE,IAAIw6E,GAAG,EAAE,MAAMl9E,CAAC,EAAE+B,EAAE,gBAAgBW,EAAE,CAAC,CAAC,EAAEV,CAAC,CAAC,CAAC,CAAC,SAAS69E,GAAG,CAAC,UAAU7/E,EAAE,gBAAgB,EAAE,iBAAiBE,EAAE,GAAG,gBAAgBE,EAAE,GAAG,cAAcC,EAAE,MAAM,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,OAAO,EAAE,QAAQ0B,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEC,EAAE,EAAEC,CAAC,EAAE,EAAES,EAAEX,EAAE,GAAG3B,GAAG4B,EAAE,QAAQ,YAAY,CAAC,IAAIc,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAEgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,CAAC,EAAEqF,CAAC,EAAE,CAAC,CAACxE,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,EAAE,CAAClB,EAAE,mBAAmB,KAAKkB,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAIS,GAAG,CAAC,GAAG,CAACC,EAAEC,CAAC,EAAEF,EAAEG,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE6C,EAAE,CAAC,OAAOF,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAM1C,EAAE,KAAK,EAAE8C,EAAE,IAAI65E,GAAG5+E,EAAEgC,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOS,EAAE,gBAAgBqC,EAAE,CAACH,EAAEC,CAAC,EAAEvG,GAAGoG,EAAE,MAAMC,EAAE,KAAK,CAAC,CAAC,CAAC,EAAE,EAAEs6E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAK33E,CAAC,EAAE,QAAQ5E,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B4E,CAAC,EAAE,CAAC,CAAC,IAAI3E,EAAE,GAAGrE,GAAG0D,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAID,EAAE,QAAQ,UAAUC,EAAE,QAAQ,UAAUS,EAAE,mBAAmB,CAACV,EAAEC,CAAC,CAAC,IAAI5B,GAAG,KAAK,CAAC,IAAIyC,EAAEJ,EAAE,QAAQ,IAAIV,EAAE,MAAM,EAAE,OAAOgC,EAAEtB,EAAE,QAAQ,IAAIT,EAAE,MAAM,EAAE,OAAO,EAAED,EAAE,QAAQ,SAAShU,EAAE,uBAAuB8U,CAAC,EAAEA,EAAEwE,EAAEtF,EAAE,QAAQ,SAAShU,EAAE,uBAAuBgW,CAAC,EAAEA,EAAE,CAAC,EAAES,CAAC,EAAEpE,EAAE2B,EAAE,MAAMC,EAAE,MAAM,EAAEqF,EAAE3E,CAAC,EAAE+B,EAAEhC,EAAE,eAAe+B,EAAE9B,CAAC,EAAEgC,EAAEjC,EAAE,QAAQ,IAAIgC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAO,EAAED,CAAC,CAAC,IAAI9B,EAAEhR,EAAE,EAAE,QAAQ,8BAA8B,GAAG,GAAG,KAAKiR,EAAE,OAAOD,EAAEC,EAAE,IAAIi8E,GAAG,EAAE98E,EAAE,MAAMC,EAAE,MAAM/B,CAAC,EAAE2C,EAAE,IAAI+7E,GAAG5+E,EAAEgC,EAAE,MAAMC,EAAE,KAAK,EAAES,EAAE,gBAAgBG,EAAE,CAACb,EAAEC,CAAC,EAAEU,CAAC,CAAC,CAAC,CAAC,SAASm9E,GAAG9/E,EAAE,EAAE,GAAG,CAAC,GAAGA,IAAI,SAAS,OAAO,EAAE29E,GAAGP,GAAG,GAAGp9E,IAAI,OAAO,OAAO,EAAE69E,GAAGN,GAAG,GAAGv9E,IAAI,MAAM,OAAO,EAAE49E,GAAGN,GAAG,GAAGt9E,IAAI,QAAQ,OAAO,EAAE89E,GAAGN,GAAG,GAAGx9E,IAAI,QAAQ,OAAO,EAAEw/E,GAAGD,GAAG,GAAGv/E,IAAI,YAAY,OAAO,EAAEo/E,GAAGD,GAAG,GAAGn/E,IAAI,UAAU,OAAO,EAAE+9E,GAAGL,GAAG,MAAM,IAAI,MAAM,cAAc19E,mDAAmD,CAAC,CAAC,IAAI+/E,GAAG,KAAK,CAAC,YAAYn/E,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAGC,EAAE,GAAGC,EAAE,KAAKC,EAAE,GAAG,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,SAAS,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,EAAE,KAAK,oBAAoBu1E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAI70E,EAAErC,EAAEO,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAE,EAAE,KAAK,KAAK8B,EAAE,CAAC,EAAEE,EAAEvC,EAAE,cAAc,cAAcwC,EAAEhB,EAAE,cAAc,cAAciB,EAAEzC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAE2D,EAAEnC,EAAE,CAAC,SAAS,QAAQ,EAAE,CAAC,SAAS,QAAQ,EAAEoC,EAAE,GAAGqD,EAAE,GAAGvF,IAAIC,EAAEiC,EAAE;AAAA;AAAA,YAE5kFlC;AAAA,WACD,EAAEkC,EAAE;AAAA;AAAA,YAEHlC;AAAA,WACDkC,EAAE;AAAA,YACDlC;AAAA,WACDuF,EAAE,gCAAgC,IAAIxC,EAAEhD,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEE,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAE,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,IAAIyC,EAAE,OAAOC,EAAE,OAAO9D,EAAE,CAAC,EAAEV,EAAE,CAAC,EAAEuE,EAAE,cAAc7D,EAAE,CAAC,KAAKV,EAAE,CAAC,EAAEU,EAAE,CAAC,IAAI8D,EAAE,cAAcxE,EAAE,CAAC,MAAM,KAAK,SAAS;AAAA,QAClU+D;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,uBAIfQ;AAAA,uBACAC;AAAA,8BACO;AAAA,wCACU9B;AAAA,wCACAC;AAAA;AAAA;AAAA;AAAA,uBAIjBC,EAAE,CAAC,OAAOkB,EAAE,CAAC;AAAA,uBACblB,EAAE,CAAC,OAAOkB,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAS1Bc;AAAA;AAAA,UAEAwC;AAAA;AAAA;AAAA;AAAA,KAIL,CAAC,EAAM04E,GAAG,CAAC,KAAK,wCAAwC,KAAK,uCAAuC,EAAEC,GAAG,KAAK,CAAC,YAAYr/E,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,OAAO,EAAE,KAAK,YAAYlS,EAAE,2BAA2BkS,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA,UAGnPU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUL,CAAC,EAAMs/E,GAAG,gBAAgB,SAASC,GAAGngF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAACI,EAAI,EAAEC,CAAC,EAAE,EAAE,EAAErS,EAAE,WAAWoS,EAAE,MAAMC,EAAE,KAAK,EAAE,GAAGD,EAAE,QAAQ,YAAY,CAAC,IAAI2B,EAAE7B,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE4B,EAAE,IAAIg+E,GAAGD,GAAG,KAAK5/E,EAAE,MAAMC,EAAE,KAAK,EAAEqC,EAAE,IAAIu9E,GAAGD,GAAG,KAAK5/E,EAAE,MAAMC,EAAE,KAAK,EAAEsC,EAAE,CAAC,CAAC,OAAOZ,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO4B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,EAAE,CAAC,OAAO2B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM3B,EAAE,KAAK,CAAC,EAAEuC,EAAE1C,EAAE,gBAAgB+B,EAAEU,EAAE,SAAS,EAAEE,EAAE3C,EAAE,gBAAgBwC,EAAEC,EAAE,SAAS,EAAEG,EAAEm8E,GAAG,CAAC,OAAO,CAAC,KAAKr8E,EAAE,KAAKC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,GAAG5C,EAAE,mBAAmB,CAACE,EAAEC,CAAC,CAAC,EAAE,CAAC,IAAI0B,EAAE7B,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE,CAAC4B,EAAES,CAAC,EAAEi4E,GAAGv6E,EAAE,MAAMC,EAAE,MAAM0B,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAEW,EAAEzC,EAAE,eAAewC,EAAE,CAAC,EAAEE,EAAE1C,EAAE,QAAQ,IAAIyC,EAAE,MAAM,EAAE,OAAOC,EAAE,OAAOX,EAAEU,CAAC,CAAC,IAAI,EAAE,OAAO/Q,EAAE,EAAE,QAAQ,8BAA8B,EAAE,EAAE,IAAIktF,GAAGoB,GAAG9/E,EAAE,MAAMC,EAAE,KAAK,EAAE,EAAE,IAAIu+E,GAAGsB,GAAG9/E,EAAE,MAAMC,EAAE,KAAK,EAAEH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI+/E,GAAG,CAAC,WAAW14F,GAAG,YAAY,QAAQ,WAAWy4F,EAAE,EAAE,SAASE,GAAGrgF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,CAACkwE,GAAGtwE,EAAE,KAAK,EAAE,GAAG6wE,GAAG7wE,EAAE,KAAK,CAAC,EAAEK,EAAE,CAAC,MAAML,EAAE,MAAM,MAAMI,EAAE,OAAOJ,EAAE,MAAM,EAAE,EAAE,CAACswE,GAAG,CAAC,EAAE,GAAGO,GAAG,CAAC,CAAC,EAAE,EAAE,IAAI4L,GAAG,EAAEr8E,CAAC,EAAE2B,EAAE,GAAGC,EAAE,CAAC5B,CAAC,EAAE6B,EAAE/B,EAAE,gBAAgB,EAAE,CAACG,CAAC,EAAEL,EAAE,MAAMgC,EAAED,CAAC,EAAE,MAAM,CAAC,OAAOE,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASq+E,GAAGtgF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,EAAEF,EAAE6B,EAAEvD,EAAE,cAAc6B,EAAE,KAAK,EAAE2B,EAAExD,EAAE,uBAAuB,EAAEuD,CAAC,EAAEE,EAAEzD,EAAE,cAAcwD,CAAC,EAAExD,EAAE,OAAOuD,IAAIE,EAAE,IAAI,kBAAkBD,UAAUC,iCAAiC5B,EAAE,cAAc0B,gFAAgF,EAAE,IAAIW,EAAE,EAAE,QAAQ,IAAIrC,EAAE,MAAM,EAAE,OAAOqC,EAAE,UAAU,CAAC4uE,GAAGjxE,EAAE,MAAM2B,CAAC,GAAG,EAAEU,EAAE,UAAU,MAAM4uE,GAAG5uE,EAAE,MAAMV,CAAC,GAAGq+E,GAAGhgF,EAAE2B,EAAE,CAAC,GAAG,EAAE,OAAO3B,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM2B,EAAE,MAAM3B,EAAE,KAAK,EAAE,CAAC,IAAIkgF,GAAG,CAAC,WAAW/2F,GAAG,YAAY,QAAQ,WAAW82F,EAAE,EAAME,GAAG,KAAK,CAAC,YAAY5/E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUG,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAEC,EAAE,EAAE,EAAE,EAAE,iCAAiC,GAAG9B,GAAG,KAAK,CAAC,IAAI,EAAE,EAAEA,EAAE,EAAE,4BAA4B1B,EAAE,MAAM,CAAC,EAAE,EAAE,YAAY,CAAC,EAAE,WAAW,CAAC,IAAIkE,EAAE,GAAGb,EAAE,EAAE,IAAIa,EAAE;AAAA,oCACtvEb;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,UAIba;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqBA;AAAA,cACnBC,IAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACSA,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA,KAIP,CAAC,EAAMy+E,GAAG,KAAK,CAAC,YAAY7/E,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAW,EAAE,UAAUG,EAAE,OAAOwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,KAAK,YAAY,CAACP,EAAEyB,CAAC,EAAE,IAAIC,EAAE,MAAMC,EAAE,GAAG9B,IAAI,OAAO6B,EAAE,MAAM7B,IAAI,OAAO6B,EAAE,cAAcC,EAAE,OAAO9B,IAAI,QAAQ6B,EAAE,eAAeC,EAAE,OAAO,IAAI,EAAE,GAAG9B,KAAKA,KAAKA,sEAAsEA,IAAI,MAAM,EAAE,WAAWA,IAAI,OAAO,EAAE,YAAYA,IAAI,MAAM,EAAE,WAAWA,IAAI,QAAQ,EAAE,YAAY,IAAIwC,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA,YACrc1C,IAAI;AAAA;AAAA,mBAEGA,IAAI;AAAA;AAAA;AAAA;AAAA,wBAIC8B;AAAA,cACV9B,IAAI,YAAYA,IAAI;AAAA,0BACR8B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOpBa,EAAE,OAAO3C,IAAI,OAAO6B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAI5BC,EAAE,SAAS3C,IAAI,QAAQ6B,EAAE,MAAMa,EAAE;AAAA;AAAA;AAAA;AAAA,QAIjCC,EAAE,SAAS,IAAIC,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACFjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBE;AAAA;AAAA;AAAA;AAAA,UAIhCe;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEAf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJW;AAAA;AAAA,YAElBG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA,YACNG,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA,qBACS,IAAI;AAAA,YACbC,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOdD;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS89E,GAAI1gF,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,KAAK,EAAE,SAAS,GAAG,EAAE,EAAE,OAAO,CAAC,EAAE,UAAU,GAAG,CAAC,IAAIE,EAAE,EAAE,OAAO,EAAE,EAAE,OAAO,CAAC,EAAE,QAAQF,EAAE,CAAC,EAAEI,EAAEpS,EAAE,yBAAyBkS,CAAC,EAAE,EAAE,KAAK,CAAC,OAAOA,EAAE,WAAWE,EAAE,QAAQ,KAAK,KAAKF,EAAEE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,SAASugF,GAAG3gF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAEqgF,GAAI1gF,EAAE,KAAK,EAAE,EAAEA,EAAE,QAAQ,EAAE,EAAE,EAAEK,EAAE,OAAO,IAAI,CAAC,GAAG,CAAC,OAAO0B,EAAE,WAAWC,EAAE,QAAQC,CAAC,EAAE5B,EAAE,CAAC,EAAEqC,EAAEC,EAAEzC,IAAI,OAAOwC,EAAE,IAAI,EAAE,IAAI89E,GAAG,CAAC,WAAWx+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,CAAC,EAAE,QAAQiC,CAAC,EAAEF,CAAC,EAAE,IAAIy+E,GAAG,CAAC,WAAWx+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,CAAC,EAAE,QAAQiC,CAAC,CAAC,EAAES,EAAE,IAAI+9E,GAAG,CAAC,WAAWz+E,EAAE,OAAOD,EAAE,UAAU/B,EAAE,MAAM,CAAC,EAAE,QAAQiC,CAAC,EAAE/B,CAAC,EAAEyC,EAAE,EAAE,EAAEvC,EAAE,gBAAgBsC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAEC,EAAE,SAAS3C,EAAE,QAAQI,EAAE,8BAA8BuC,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIi+E,GAAG,KAAK,CAAC,YAAYhgF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,EAAElB,EAAEV,EAAE4B,CAAC,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEg/E,GAAI3gF,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,QAE10BG;AAAA,uBACewB;AAAA;AAAA,KAElB,CAAC,EAAE,SAASg/E,GAAI7gF,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,sBAAsB,wBAAwB,EAAE,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,IAAI,MAAM,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAEJ,EAAEK,CAAC,CAAC,EAAEH,EAAEG,CAAC,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,IAAI0gF,GAAG,KAAK,CAAC,YAAYlgF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQ8B,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,EAAE9B,EAAEV,EAAEwC,CAAC,CAAC,EAAE,GAAG,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,KAAK,KAAK,EAAE,MAAM,MAAM,6BAA6B,KAAK,4BAA4B,EAAE,IAAIrC,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEw6E,GAAG,KAAK,KAAK,IAAI,EAAEv6E,EAAE,IAAI,MAAM,KAAK,IAAI,EAAE,QAAQY,EAAE,EAAEA,EAAExC,EAAE,OAAOwC,IAAIZ,EAAE5B,EAAEwC,CAAC,CAAC,EAAEb,EAAEa,CAAC,EAAE,IAAIX,EAAE,QAAQD,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKE,EAAE,KAAKH,EAAE,KAAK,KAAK,CAAC,OAAO,EAAE,KAAK,KAAK,CAAC,IAAI,EAAE,mBAAmBC,EAAE,KAAK,OAAOC,KAAK,KAAK,SAAS;AAAA;AAAA,QAE/vB1B;AAAA;AAAA,oBAEY;AAAA,WACT2B;AAAA,sBACW;AAAA;AAAA,UAEZH,EAAE,KAAK,KAAK,CAAC;AAAA,aACVA,EAAE,KAAK,KAAK,CAAC,OAAO,EAAE,KAAK,KAAK,CAAC;AAAA,sBACxB;AAAA,aACTG;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA,KAKnB,CAAC,EAAE,SAAS++E,GAAG/gF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAExO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIkvF,GAAG9gF,EAAE,MAAM,CAAC,EAAE,IAAI4gF,GAAG5gF,EAAE,MAAM,CAAC,EAAE,OAAOE,EAAE,gBAAgBE,EAAE,CAACJ,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,SAASghF,GAAGhhF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,EAAE,EAAEL,EAAE,MAAM,OAAO,EAAExB,EAAE,eAAe6B,EAAEL,EAAE,KAAK,EAAE+B,EAAE,EAAEC,EAAEhU,EAAE,mBAAmB+T,EAAE,CAAC,EAAEE,EAAED,GAAG,KAAKU,EAAE1C,EAAEiC,IAAIS,EAAEq+E,GAAG/gF,EAAEgC,EAAE5B,CAAC,EAAE2B,EAAE/T,EAAE,iBAAiB+T,EAAE,OAAO,CAAC,GAAG/T,EAAE,2BAA2B,MAAM+T,EAAE,CAAC,EAAE,GAAG,CAACY,EAAEC,CAAC,EAAE5U,EAAE,0BAA0B0U,EAAE,MAAMX,CAAC,EAAEc,EAAEF,EAAEzC,IAAI2C,EAAE7U,EAAE,qBAAqB2U,EAAE,CAAC,GAAG,IAAIG,EAAEtE,EAAE,cAAcoE,CAAC,EAAEqB,EAAEzF,EAAE,cAAcwB,EAAE,KAAK,EAAE8C,EAAEwE,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,MAAM,CAAC,MAAM,CAACuB,EAAEnB,CAAC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE0E,EAAEhI,GAAGkD,EAAE,KAAK,EAAEyE,EAAEk8E,GAAGr5E,EAAExC,EAAE,MAAM1E,CAAC,EAAEsE,EAAE47E,GAAG,CAAC,OAAO,CAAC,EAAE77E,CAAC,EAAE,MAAM,CAAC,MAAM5B,CAAC,EAAE,QAAQzC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BkH,CAAC,EAAElH,EAAE,8BAA8BqE,CAAC,EAAExC,GAAG7B,EAAE,8BAA8BsC,CAAC,EAAEgC,CAAC,CAAC,SAASu8E,GAAGjhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE,OAAO4gF,GAAG3gF,EAAE,EAAE,EAAEH,CAAC,CAAC,CAAC,IAAIghF,GAAG,CAAC,WAAWp1F,GAAG,YAAY,QAAQ,WAAWm1F,EAAE,EAAE,SAASE,GAAGnhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEF,EAAE6B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,CAAC,EAAE,QAAQW,EAAE,EAAEA,EAAEV,EAAE,OAAOU,IAAIV,EAAEU,CAAC,EAAErC,EAAE,MAAM,EAAEqC,CAAC,CAAC,EAAE,IAAIT,EAAE,GAAG,EAAE,mBAAmB,CAAC5B,CAAC,CAAC,EAAE,CAAC,IAAI,EAAE,EAAE,QAAQ,IAAIA,EAAE,MAAM,EAAE,OAAOuC,EAAEu5E,GAAG,EAAE97E,EAAE,MAAMA,EAAE,MAAM,EAAE2B,CAAC,EAAEC,EAAE,EAAE,eAAeD,EAAE3B,EAAE,KAAK,EAAE,IAAIwC,EAAE,EAAE,QAAQ,IAAIZ,EAAE,MAAM,EAAEY,EAAE,OAAOD,CAAC,MAAMX,EAAE8+E,GAAG1gF,EAAE,EAAE,CAAC,EAAE,OAAO4B,CAAC,CAAC,IAAIm/E,GAAG,CAAC,WAAW70F,GAAG,YAAY,QAAQ,WAAW40F,EAAE,EAAME,GAAG,IAAI,SAASC,GAAG,CAAC,EAAEthF,EAAE,EAAE,EAAE,WAAWE,EAAE,WAAWE,EAAE,QAAQC,EAAE,KAAK,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe0B,EAAE,EAAE,WAAWC,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEjC,EAAE,MAAM,OAAO0C,EAAE,EAAE,MAAM,OAAOC,EAAEzC,EAAEF,EAAE,MAAMiC,EAAE,CAAC,EAAEjC,EAAE,MAAMiC,EAAE,CAAC,EAAEW,EAAExC,EAAE,EAAE,MAAMsC,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEG,EAAE3C,EAAEF,EAAE,MAAMiC,EAAE,CAAC,EAAEjC,EAAE,MAAMiC,EAAE,CAAC,EAAEa,EAAE1C,EAAE,EAAE,MAAMsC,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEsB,EAAEhE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEsH,EAAE9I,EAAE,cAAcwF,CAAC,EAAE,EAAExF,EAAE,cAAc,CAAC,EAAEkG,EAAE/V,GAAG,2BAA2BqR,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAAC6C,EAAEC,CAAC,CAAC,EAAEtE,EAAE,OAAOmE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6B5C,EAAE,aAAa,EAAE,wBAAwBE,oBAAoBE,eAAe,EAAE,IAAIuE,EAAEzE,EAAE,CAACoH,EAAE3E,EAAEE,CAAC,EAAE,CAACyE,EAAEzE,EAAEF,CAAC,EAAEiC,EAAExE,EAAE,CAAC,EAAE0C,EAAEF,CAAC,EAAE,CAAC,EAAEA,EAAEE,CAAC,EAAE+B,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQK,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAEI,EAAEu7E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjgF,EAAE,MAAM,CAAC,MAAMuE,CAAC,CAAC,CAAC,EAAE2C,EAAE,CAAC1C,EAAEE,CAAC,EAAEC,EAAE,KAAK,IAAIsC,EAAE,CAAC,EAAErC,EAAE/E,EAAE2E,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,GAAG,KAAKC,EAAE,GAAG,KAAKC,EAAEpD,IAAI,YAAYqD,EAAErD,GAAG,KAAK89E,GAAG99E,EAAE,EAAE,EAAE,KAAKgG,EAAE9C,GAAGC,GAAGC,GAAGC,GAAG,KAAKoC,EAAE,IAAI5E,IAAI,GAAGC,IAAI,IAAImC,EAAEo8E,IAAIr5E,IAAI,GAAG,CAAC,IAAIE,EAAGrD,EAAEsD,EAAGpD,EAAE7E,IAAIgI,EAAGi5E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQxE,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKW,CAAE,GAAG9H,IAAI+H,EAAGg5E,GAAG,CAAC,OAAO,CAAC,EAAEp8E,CAAC,EAAE,QAAQ1E,EAAE,MAAM,CAAC,KAAK,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEkH,EAAE,KAAKY,CAAE,GAAG,IAAIC,EAAGtF,IAAI,EAAEuF,GAAGvF,IAAI,EAAEwF,GAAGJ,EAAGE,IAAKE,GAAGg4E,GAAG,CAAC,OAAO,CAAC,EAAEp4E,CAAE,EAAE,QAAQ7H,EAAE,MAAM,CAAC,MAAM,CAAC2E,EAAEC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEsC,EAAE,KAAKe,EAAE,GAAG,IAAI5B,GAAG5D,IAAI,EAAE,EAAE,EAAE0F,GAAGL,EAAGE,KAAKG,GAAG83E,GAAG,CAAC,OAAO,CAAC,EAAEn4E,CAAE,EAAE,QAAQ9H,EAAE,MAAM,CAAC,MAAM,CAAC2E,EAAE,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAEsC,EAAE,KAAKiB,EAAE,GAAG,IAAIC,GAAG03E,GAAG,CAAC,OAAO,CAAC,EAAE73E,GAAG,EAAEE,EAAE,EAAE,QAAQnI,CAAC,CAAC,EAAEoH,EAAEw5E,GAAG,CAAC,OAAO,CAAC,EAAEx4E,EAAE,EAAE,QAAQpI,EAAE,MAAM,CAAC,KAAKqG,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEa,EAAE,KAAKkB,EAAE,CAAC,KAAK,CAAC,IAAIP,EAAG5J,GAAG0B,EAAE,MAAM,EAAE,KAAK,EAAEmI,EAAG,IAAI43E,GAAGp7E,EAAEC,EAAE,CAACI,EAAEnC,EAAEC,CAAC,EAAE5C,EAAEE,EAAE8E,EAAEG,EAAEF,EAAEC,CAAC,EAAEgD,EAAG,CAACvD,EAAEE,CAAC,EAAE,GAAG,GAAG,MAAMqD,EAAG,KAAK,CAAC,EAAEjD,GAAGiD,EAAG,KAAK,CAAC,EAAEhD,EAAE,CAAC,IAAIiD,GAAGhI,EAAE,eAAe,CAAC,EAAE,UAAU7B,EAAE,kBAAkBuD,EAAE,SAAS,CAAC,EAAEqG,EAAG,KAAKC,EAAE,EAAEd,EAAE,KAAKc,EAAE,CAAC,CAACZ,EAAEpH,EAAE,gBAAgB8H,EAAGC,EAAGF,CAAE,CAAC,CAAC,IAAID,EAAEq4E,GAAG,CAAC,OAAO,CAAC,EAAE74E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAMqE,CAAC,CAAC,CAAC,EAAE6C,EAAE,KAAKE,CAAC,EAAE,QAAQS,KAAMX,EAAElH,EAAE,8BAA8B6H,CAAE,EAAE,OAAOD,CAAC,CAAC,SAASs5E,GAAIvhF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,WAAWC,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAE,OAAOkhF,GAAG,CAAC,EAAEjhF,EAAE,EAAE,EAAE,WAAW2B,EAAE,WAAWC,EAAE,QAAQ/B,EAAE,KAAK,EAAE,uBAAuB6B,EAAE,eAAeY,EAAE,WAAWD,CAAC,CAAC,CAAC,CAAC,IAAI8+E,GAAG,CAAC,WAAW10F,GAAG,YAAY,QAAQ,WAAWy0F,EAAG,EAAME,GAAG,iBAAiB,SAASC,GAAI1hF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGF,EAAE,mBAAmB,CAACE,CAAC,CAAC,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEF,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,EAAEk7E,GAAG,EAAE,MAAM,EAAE,OAAOp7E,EAAE,eAAeE,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOzO,EAAE,EAAE,QAAQ,6BAA6B,EAAEyO,EAAE,IAAI29E,GAAG59E,EAAE,MAAMqhF,EAAE,EAAEphF,EAAE,IAAI68E,GAAG98E,EAAE,MAAMqhF,EAAE,EAAEvhF,EAAE,gBAAgBG,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuhF,GAAG,CAAC,WAAW7hG,GAAG,YAAY,QAAQ,WAAW4hG,EAAG,EAAME,GAAIzE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzvH0E,GAAIjC,GAAG,CAAC,UAAUgC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW/hG,GAAG,YAAY,QAAQ,WAAW8hG,EAAG,EAAME,GAAI5E,GAAG;AAAA;AAAA,oCAEvD6E,GAAIpC,GAAG,CAAC,UAAUmC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWjiG,GAAG,YAAY,QAAQ,WAAWgiG,EAAG,EAAME,GAAG,gBAAgBC,GAAItC,GAAG,CAAC,UAAUqC,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAc5I,EAAE,CAAC,EAAE8I,GAAG,CAAC,WAAW/hG,GAAG,YAAY,QAAQ,WAAW8hG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzhF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,cAAcV,EAAE,IAAI,CAAC2B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,UAAUA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAE5gB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgBxB;AAAA;AAAA;AAAA,KAGpB,CAAC,EAAMiiF,GAAG,KAAK,CAAC,YAAY1hF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYU,EAAE,KAAK,cAAcV,EAAE,IAAI,CAAC2B,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI,EAAE,CAAC,EAAE,KAAK,cAAc,QAAQD,GAAG,CAAC,EAAE,KAAK,SAASA,UAAUA,iBAAiB,CAAC,CAAC,EAAE,IAAIxB,EAAE,KAAK,cAAc,IAAIwB,GAAG,IAAIA,GAAG,EAAE,KAAK,KAAK,EAAE,KAAK,SAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEexB;AAAA;AAAA;AAAA,KAGnB,CAAC,EAAE,SAASkiF,GAAGviF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE,EAAE,GAAGA,EAAE,SAAS,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE3+E,EAAE,CAAC,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,GAAGE,EAAE,OAAOxO,EAAE,EAAE,IAAI,8BAA8B,EAAE,CAAC,IAAIoQ,EAAE,KAAK,MAAM5B,EAAE,OAAO,CAAC,EAAE,EAAEmiF,GAAG,CAAC,OAAOniF,EAAE,MAAM,EAAE4B,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAEwC,EAAE6/E,GAAG,CAAC,OAAOniF,EAAE,MAAM4B,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE,OAAOqiF,GAAG,CAAC,OAAO,CAAC,EAAE7/E,CAAC,EAAE,QAAQxC,CAAC,CAAC,CAAC,CAAC,IAAIG,EAAED,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,OAAO,CAACA,EAAE,IAAI1D,GAAG0D,EAAE,CAAC,CAAC,EAAE,EAAE5B,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAED,EAAEnQ,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI0wF,GAAGliF,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,IAAIiiF,GAAGjiF,EAAE,CAAC,EAAE,MAAM,CAAC,EAAE,OAAOF,EAAE,gBAAgB6B,EAAE3B,EAAEC,CAAC,CAAC,CAAC,IAAImiF,GAAG,CAAC,WAAWliG,GAAG,YAAY,QAAQ,WAAWiiG,EAAE,EAAE,SAASE,GAAIziF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,GAAG/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIo7E,GAAG,CAAC,WAAWniG,GAAG,YAAY,QAAQ,WAAWkiG,EAAG,EAAE,SAASE,GAAI3iF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,GAAG/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIs7E,GAAG,CAAC,WAAWpiG,GAAG,YAAY,QAAQ,WAAWmiG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYjiF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,GAAG,CAAC,WAAWG,EAAE,UAAUwB,EAAE,QAAQC,CAAC,EAAElB,EAAE,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,KAAK,YAAY,CAACiB,EAAEC,CAAC,EAAE,IAAIC,EAAE7B,IAAI,MAAM,IAAI,IAAI8B,EAAE,EAAE,gBAAgB,+CAA+C,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAK1uE3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJA;AAAA,wBACN2B;AAAA;AAAA,0BAEED;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOrB,CAAC,EAAM+gF,GAAG,KAAK,CAAC,YAAYliF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG7B,EAAE,OAAOoC,EAAE,OAAO,EAAE,IAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,EAAE,EAAE,MAAM,CAAC,2CAA2C,EAAE,IAAIiB,EAAEjB,EAAEA,EAAE,OAAO,CAAC,EAAEkB,EAAE,KAAK,KAAKD,EAAE3B,CAAC,EAAE,KAAK,YAAYU,EAAE,MAAM,EAAE,EAAE,EAAEkB,EAAE,GAAG,KAAK,YAAY,KAAKA,CAAC,EAAEzB,GAAG,KAAK,cAAc,KAAK,cAAc,EAAE,IAAI0B,EAAE,KAAK,YAAYC,EAAED,EAAE,OAAO,EAAEk1E,GAAGj1E,CAAC,EAAEU,EAAE45E,GAAG,SAASt6E,CAAC,EAAE,EAAEY,EAAE,GAAGd,IAAI,EAAE,CAACc,EAAEZ,EAAE,EAAE,IAAI+C,EAAEkyE,GAAGr0E,CAAC,EAAE,EAAE;AAAA,UAClcmC,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,CAAC;AAAA,UACP+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,CAAC;AAAA,UACP+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,CAAC;AAAA,UACP+C,kBAAkBA,KAAKrC,EAAE,KAAK;AAAA,YAC5BA,EAAEV,EAAE,CAAC,IAAI,MAAMY,EAAEZ,EAAE,EAAE;AAAA,UACvB;AAAA,YACEU,EAAEV,EAAE,CAAC;AAAA,UACP;AAAA,YACEU,EAAEV,EAAE,CAAC;AAAA,UACP;AAAA,YACEU,EAAEV,EAAE,CAAC;AAAA,UACP;AAAA,YACEU,EAAEV,EAAE,CAAC,KAAK,IAAIa,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAED,CAAC,EAAEE,EAAE,IAAID,EAAED,EAAE,CAAC,EAAEoB,EAAEnB,EAAE,IAAIkC,GAAG,OAAOA,CAAC,EAAEd,EAAEq4E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE0E,EAAEg1E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAEkC,EAAEw3E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE6B,EAAE63E,GAAG,aAAa15E,EAAE,CAAC,EAAE,OAAO,SAAS,EAAE8B,EAAE,IAAI,MAAM,cAAc,WAAWC,EAAEtE,EAAE,GAAG;AAAA,sDAC7P4D,EAAE,KAAK;AAAA,sDACPqD,EAAE,KAAK;AAAA,sDACPxC,EAAE,KAAK;AAAA,sDACPL,EAAE,KAAK,QAAQG,EAAE;AAAA,0BAC7CX,EAAE,KAAK;AAAA,uCACMqD,EAAE,KAAK;AAAA,uCACPxC,EAAE,KAAK;AAAA,qDACOL,EAAE,KAAK,WAAWI,EAAExE,EAAE,GAAG;AAAA,qCACzC2D,EAAE,KAAK;AAAA,4CACAnB,EAAE,KAAK;AAAA,iDACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA,SACzD,KAAK,SAAS;AAAA,0BACGmB,EAAE,KAAK;AAAA,iCACAnB,EAAE,KAAK;AAAA,sCACFA,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/CgC;AAAA;AAAA,UAEE;AAAA,4BACkBnC,EAAEV,EAAE,CAAC,OAAOD,EAAEC,EAAE,CAAC,EAAE;AAAA,4BACnBU,EAAEV,EAAE,CAAC,OAAOD,EAAEC,EAAE,CAAC,EAAE;AAAA,UACrC;AAAA,yCAC+Bc,gBAAgBA;AAAA,sBACnCA,gBAAgBA,QAAQ5C;AAAA;AAAA;AAAA,2BAGnB0E;AAAA;AAAA,8BAEG1E;AAAA;AAAA,YAElByE;AAAA,6BACiBC;AAAA;AAAA;AAAA,mBAGVF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWd,CAAC,EAAE,SAASq+E,GAAG/iF,EAAE,EAAEE,EAAEE,EAAE,KAAK,CAAC,IAAIC,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,MAAM,CAAC,EAAED,GAAG,OAAOC,EAAED,EAAE,MAAM,CAAC,EAAE,EAAEA,EAAE,MAAM,CAAC,GAAG,IAAI,EAAEpS,EAAE,yBAAyB,CAAC,EAAE+T,EAAE,CAAC,WAAW,EAAE,OAAO,EAAE,UAAU1B,EAAE,QAAQ,KAAK,KAAK,EAAE,CAAC,CAAC,EAAE2B,EAAE,IAAI6gF,GAAG9gF,EAAE7B,EAAEE,GAAG,IAAI,EAAE6B,EAAE,CAAC,CAAC,EAAE7B,GAAG,MAAM6B,EAAE,KAAK7B,CAAC,EAAE,IAAIsC,EAAE1C,EAAE,gBAAgBgC,EAAEC,EAAE,OAAO,EAAE,GAAGS,EAAE,MAAM,CAAC,IAAI,EAAE,OAAOA,EAAE,IAAIC,EAAEogF,GAAG/iF,EAAE,EAAEE,EAAEwC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B0C,CAAC,EAAEC,CAAC,CAAC,SAASqgF,GAAGhjF,EAAE,EAAEE,EAAEE,EAAE,KAAK,CAAC,IAAIC,EAAED,GAAG,KAAKA,EAAE,MAAM,EAAE,MAAM,EAAEC,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAErS,EAAE,yBAAyB,CAAC,EAAE+T,EAAE,IAAI+gF,GAAGziF,EAAE,EAAEH,EAAEE,GAAG,IAAI,EAAE4B,EAAE5B,GAAG,KAAK,CAAC,CAAC,EAAE,CAAC,EAAEA,CAAC,EAAE6B,EAAEjC,EAAE,gBAAgB+B,EAAEC,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,CAAC,IAAIS,EAAEsgF,GAAGhjF,EAAE,EAAEE,EAAE+B,CAAC,EAAE,OAAOjC,EAAE,8BAA8BiC,CAAC,EAAES,CAAC,CAAC,OAAOT,CAAC,CAAC,SAASghF,GAAGjjF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,CAACH,CAAC,EAAE,GAAGlS,EAAE,2BAA2B,MAAMoS,EAAE,OAAO,CAAC,EAAE,YAAY,EAAEA,EAAE,MAAM,CAAC,EAAEC,EAAE,EAAE,MAAM,MAAM,EAAE,CAACzO,EAAE,EAAE,QAAQ,mBAAmB,GAAG,EAAE,MAAM,QAAQ,EAAE,CAAC,IAAI,EAAE,CAAC,EAAE,EAAEoO,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE+B,EAAE,IAAI,MAAM,EAAE,SAASC,EAAE,EAAED,IAAIC,EAAEhC,EAAE,aAAa,CAAC,EAAE,EAAE,KAAKgC,CAAC,GAAG,GAAG,CAACC,EAAES,CAAC,EAAE1U,EAAE,0BAA0BgU,EAAE,MAAM3B,CAAC,EAAEsC,EAAEnE,EAAE,cAAckE,CAAC,EAAEE,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQhC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG2C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAEkgF,GAAG/iF,EAAE4C,EAAExC,CAAC,EAAE,EAAE,KAAKyC,CAAC,EAAE,IAAIC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ7C,EAAE,MAAM,CAAC,MAAMiC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ+B,GAAGhE,EAAE,8BAA8BgE,CAAC,CAAC,EAAElB,CAAC,CAAC,OAAOkgF,GAAGhjF,EAAE,EAAEI,CAAC,CAAC,CAAC,SAAS8iF,GAAIljF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAGhU,EAAE,2BAA2B,SAAS,CAAC,EAAE,CAAC,CAAC,EAAEgU,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEugF,GAAG/iF,EAAE8B,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAGzC,EAAE,8BAA8ByC,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIygF,GAAG,CAAC,WAAW1iG,GAAG,YAAY,QAAQ,WAAWyiG,EAAG,EAAE,SAASE,GAAIpjF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE0B,EAAE/T,EAAE,mBAAmB,EAAEqS,EAAE,MAAM,MAAM,EAAE2B,EAAE3B,EAAE4B,EAAE,CAAC,EAAEF,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,EAAEE,EAAE,KAAKD,CAAC,EAAE,EAAEhU,EAAE,iBAAiB,EAAE,OAAOgU,EAAE,MAAM,MAAM,GAAGhU,EAAE,2BAA2B,SAAS,CAAC,EAAE,CAAC,CAAC,EAAEgU,EAAE,MAAM,MAAM,EAAE,IAAIU,EAAEugF,GAAG/iF,EAAE8B,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,OAAOC,EAAE,QAAQU,GAAGzC,EAAE,8BAA8ByC,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI2gF,GAAG,CAAC,WAAW3iG,GAAG,YAAY,QAAQ,WAAW0iG,EAAG,EAAME,GAAInG,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1mEoG,GAAI3D,GAAG,CAAC,UAAU0D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW7iG,GAAG,YAAY,QAAQ,WAAW4iG,EAAG,EAAME,GAAItG,GAAG,qCAAqCuG,GAAI9D,GAAG,CAAC,UAAU6D,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAW/iG,GAAG,YAAY,QAAQ,WAAW8iG,EAAG,EAAME,GAAIzG,GAAG;AAAA;AAAA,EAEvN0G,GAAIjE,GAAG,CAAC,UAAUgE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWjjG,GAAG,YAAY,QAAQ,WAAWgjG,EAAG,EAAME,GAAIpF,GAAG;AAAA;AAAA,EAEzFqF,GAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFnF,GAAG;AAAA;AAAA,EAELoF,GAAIpE,GAAG,CAAC,UAAUkE,GAAI,gBAAgBC,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWpjG,GAAG,YAAY,QAAQ,WAAWmjG,EAAG,EAAME,GAAIhH,GAAG;AAAA;AAAA,6CAElEiH,GAAIxE,GAAG,CAAC,UAAUuE,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWtjG,GAAG,YAAY,QAAQ,WAAWqjG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY1jF,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE3B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI4B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,sBAAsBgC,EAAEhC,EAAE,qBAAqBiC,EAAEjC,EAAE,QAAQ,IAAIkC,EAAElC,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAIoD,EAAE9D,IAAI,MAAM+D,EAAE,cAAcrD,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,iBAAiB0G,EAAE,SAAS1G,EAAE,mBAAmBA,EAAE,iBAAiBkE,EAAE,MAAM,GAAGd,IAAIc,EAAE,gBAAgB,EAAE,CAAC,IAAIC,EAAE,KAAK,KAAK,SAAS;AAAA,sCAC9nBhD,MAAMC;AAAA,mCACTa,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAgC;AAAA,wBACZF;AAAA;AAAA;AAAA,oCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZmE;AAAA;AAAA;AAAA,mCAGS1E,EAAEwB,EAAEoC,EAAEqD,EAAE,QAAQ1E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAM3C,MAAM,CAAC,IAAI6B,EAAE,MAAMC,EAAE,GAAGxE,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQwE,EAAE,8BAA8B,IAAIC,EAAE,KAAK,MAAM7C,EAAE,CAAC,EAAE,EAAE8C,EAAE9C,EAAE,EAAE+C,EAAE;AAAA,YAChLb;AAAA;AAAA;AAAA,wBAGYS;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA,oCACgB1C,MAAMC;AAAA,iCACTa,MAAMC;AAAA,0CACGgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZlE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBEkE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGYlE,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA+D;AAAA,uCACKjC;AAAA;AAAA;AAAA;AAAA,yCAIEA;AAAA,6CACIA;AAAA,6CACAA;AAAA;AAAA;AAAA,cAG/BmC;AAAA;AAAA;AAAA,gCAGkBF;AAAA,gBAChBC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQNC;AAAA,uBACSD,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3BmC;AAAA,uBACSD,IAAI;AAAA;AAAA;AAAA,yCAGclC;AAAA,6CACIA;AAAA;AAAA;AAAA;AAAA,cAI/BmC;AAAA;AAAA;AAAA,oBAGMH;AAAA;AAAA,KAEf,CAAC,EAAE6/E,GAAG,KAAK,CAAC,YAAY3jF,EAAEV,EAAE,EAAEG,EAAE,GAAGwB,EAAE,GAAG,CAAC,GAAG,KAAK,cAAc,CAAC,GAAG,EAAE3B,IAAI,OAAO,EAAE,MAAM,IAAI,MAAM,4CAA4C,EAAE,IAAI4B,EAAElB,EAAE,YAAYmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,eAAegC,EAAEhC,EAAE,cAAciC,EAAEjC,EAAE,qBAAqBkC,EAAElC,EAAE,sBAAsBoD,EAAEpD,EAAE,qBAAqBqD,EAAErD,EAAE,QAAQ,MAAM0G,EAAE1G,EAAE,QAAQ,IAAIkE,EAAElE,EAAE,QAAQ,KAAK,KAAK,YAAYA,EAAE,SAAS,IAAI6D,EAAEvE,IAAI,MAAMwE,EAAE,MAAM,GAAGD,IAAIC,EAAE,gBAAgB,EAAE,CAAC,IAAIM,EAAE,KAAK,KAAK,SAAS;AAAA;AAAA,oBAErejD,MAAMC,MAAM;AAAA,mCACGiC,MAAMqD,MAAMxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBbjC;AAAA,sBACZH;AAAA;AAAA;AAAA,kCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGYlC,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAoD;AAAA,0BACZpB;AAAA;AAAA;AAAA,sCAGYhC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZoE;AAAA;AAAA;AAAA,qCAGS3E,EAAEwB,EAAE,cAAcjB,EAAE,mBAAmBA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,UAAUA,EAAE,oBAAoBA,EAAE,mBAAmBA,EAAE,kBAAkB,QAAQkC,OAAOkB;AAAA,6BACtMA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOrB,MAAM,CAAC,IAAIW,EAAE,MAAMC,EAAE,GAAG1E,KAAKA,KAAKA,sEAAsEA,IAAI,QAAQ0E,EAAE,8BAA8B,IAAIC,EAAE,KAAK,MAAM/C,EAAE,CAAC,EAAE,EAAEiD,EAAEjD,EAAE,EAAEyF,EAAE;AAAA,YAChL9C;AAAA;AAAA;AAAA,wBAGYE;AAAA;AAAA,MAElB,KAAK,SAAS;AAAA;AAAA,gBAEJ5C,MAAMC,MAAM;AAAA,iCACKiC,MAAMqD,MAAMxC;AAAA,0CACHJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ9D,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE8D;AAAA;AAAA;AAAA;AAAA,gCAIF7B;AAAA,oBACZH;AAAA;AAAA;AAAA,gCAGY9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAkC;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGclC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiE;AAAA,yCACKjC;AAAA;AAAA;AAAA;AAAA,+CAIMA;AAAA,mDACIA;AAAA,mDACAA;AAAA;AAAA;AAAA,gBAGnC2E;AAAA;AAAA;AAAA,kCAGkB1C;AAAA,kBAChBE,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQNwC;AAAA,yBACSxC,IAAI;AAAA;AAAA;AAAA,+CAGkBnC;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B2E;AAAA,yBACSxC,IAAI;AAAA;AAAA;AAAA,+CAGkBnC;AAAA,mDACIA;AAAA;AAAA;AAAA;AAAA,gBAInC2E;AAAA;AAAA;AAAA;AAAA,oBAII3C;AAAA;AAAA,KAEf,CAAC,EAAE,SAAS4/E,GAAIxkF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAEkvE,GAAGlvE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOq8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIyC,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIokF,GAAG,CAAC,WAAWzjG,GAAG,YAAY,QAAQ,WAAWwjG,EAAG,EAAE,SAASE,GAAI1kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEC,EAAEC,CAAC,EAAEW,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIskF,GAAG,CAAC,WAAW1jG,GAAG,YAAY,QAAQ,WAAWyjG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYhkF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,sBAAsB,EAAEA,EAAE,qBAAqB8B,EAAEV,EAAE,EAAEpB,EAAE,QAAQ,IAAI,EAAE,EAAE,EAAEA,EAAE,QAAQ,KAAKgC,EAAE,GAAG1C,EAAE,GAAG,KAAK,SAAS;AAAA,iCACpnCwC,MAAM;AAAA,0CACGE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcVZ;AAAA,oBACZF;AAAA,gDAC4BzB;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACfmB;AAAA,kDAC+BF;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEikF,GAAG,KAAK,CAAC,YAAYjkF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,qBAAqBgC,EAAEhC,EAAE,sBAAsBiC,EAAEjC,EAAE,qBAAqBkC,EAAE,EAAE,EAAElC,EAAE,QAAQ,MAAMoD,EAAEpB,EAAE,EAAEhC,EAAE,QAAQ,IAAIqD,EAAEpB,EAAE,EAAEjC,EAAE,QAAQ,KAAK0G,EAAE,GAAGpH,EAAE,EAAEG,GAAG,KAAK,SAAS;AAAA,iCACtXyC,MAAMkB,MAAMC;AAAA,0CACHqD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZtF;AAAA,gDAC4BH;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJgC;AAAA,sBACZ;AAAA,kDAC4Bd;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJiC;AAAA,wBACZH;AAAA,oDAC4BX;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAE,SAASkkF,GAAI9kF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE5U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAIgiF,GAAGjiF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI0kF,GAAG,CAAC,WAAW7jG,GAAG,YAAY,QAAQ,WAAW4jG,EAAG,EAAE,SAASE,GAAIhlF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAEkvE,GAAG,CAAClvE,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,CAAC,EAAE7B,EAAEsC,EAAE1U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAE,EAAEC,CAAC,EAAEU,EAAE,IAAIiiF,GAAGliF,CAAC,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI4kF,GAAG,CAAC,WAAW9jG,GAAG,YAAY,QAAQ,WAAW6jG,EAAG,EAAE,SAASE,GAAIllF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,OAAOkhF,GAAG,CAAC,EAAEjhF,EAAE,EAAE,EAAE,WAAW,EAAE,WAAW0B,EAAE,QAAQ7B,CAAC,CAAC,CAAC,CAAC,IAAIilF,GAAG,CAAC,WAAW9jG,GAAG,YAAY,QAAQ,WAAW6jG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYxkF,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAE9T,EAAE,2BAA2B4S,EAAEV,CAAC,EAAElS,EAAE,2BAA2B4S,EAAE,CAAC,EAAE,IAAImB,EAAE,MAAM1B,GAAG,OAAOrS,EAAE,2BAA2B4S,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,MAAMH,GAAG,OAAO7T,EAAE,2BAA2B4S,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKrqCmB;AAAA,wBACDC;AAAA,2DACmCF;AAAA;AAAA;AAAA,KAGtD,CAAC,EAAMujF,GAAG,KAAK,CAAC,YAAYzkF,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,cAAc,CAAC,IAAI,OAAO,UAAU,EAAE9T,EAAE,2BAA2B4S,EAAEV,CAAC,EAAElS,EAAE,2BAA2B4S,EAAE,CAAC,EAAE,IAAImB,EAAE,YAAY1B,GAAG,OAAOrS,EAAE,2BAA2B4S,EAAEP,CAAC,EAAE,KAAK,cAAc,KAAK,QAAQ,EAAE0B,EAAE,0BAA0B,IAAIC,EAAE,YAAYH,GAAG,OAAO7T,EAAE,2BAA2B4S,EAAEiB,CAAC,EAAE,KAAK,cAAc,KAAK,OAAO,EAAEG,EAAE,yBAAyB,KAAK,YAAYpB,EAAE,KAAK,SAAS;AAAA;AAAA,wBAEtcmB;AAAA,uBACDC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkCF;AAAA;AAAA;AAAA;AAAA,KAIpD,CAAC,EAAMwjF,GAAI,CAAC,CAAC,OAAOtlF,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,EAAE,KAAKC,EAAE,SAAS,EAAE,OAAO,EAAE,MAAM0B,CAAC,EAAE/B,EAAExB,EAAE,OAAO6B,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,8EAA8E,EAAE7B,EAAE,OAAO,GAAG,MAAM6B,EAAE,MAAM,SAAS,EAAE,MAAM,OAAO,IAAI,4EAA4E,EAAE7B,EAAE,OAAOuD,GAAG,MAAM1B,EAAE,MAAM,SAAS0B,EAAE,MAAM,OAAO,IAAI,2EAA2E,EAAE,GAAG,CAAC,gBAAgBC,CAAC,EAAE9B,EAAE8B,GAAG,OAAOA,EAAE,MAAM,IAAIC,EAAE,CAAC7B,EAAEC,EAAE,CAAC,EAAEqC,EAAE,KAAK,GAAG,OAAOA,EAAE,EAAE,MAAMT,EAAE,KAAK,CAAC,GAAG,IAAIU,EAAE,KAAKZ,GAAG,OAAOY,EAAEZ,EAAE,MAAME,EAAE,KAAKF,CAAC,GAAG,IAAIa,EAAEhR,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAIyzF,GAAGjlF,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,IAAIojF,GAAGhlF,EAAE,MAAMC,EAAE,MAAM,EAAE,MAAMqC,EAAEC,EAAEX,CAAC,EAAE,OAAO,EAAE,gBAAgBY,EAAEX,EAAEA,EAAE,CAAC,EAAE,KAAK,CAAC,EAAEsjF,GAAG,CAAC,WAAW9gG,GAAG,YAAY,QAAQ,WAAW6gG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY5kF,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAIV,EAAE+2E,GAAG,KAAK,IAAI,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAI,EAAEwO,GAAI,KAAK,IAAI,EAAEplF,EAAEwB,EAAEjB,EAAE,IAAI,CAACkB,EAAEC,IAAI,aAAa2jF,GAAG3jF,CAAC,aAAaA,eAAe2jF,GAAG3jF,CAAC,IAAI,EAAE1B,EAAE;AAAA,UACplCH;AAAA,UACAA;AAAA,UACA2B,EAAE,KAAK;AAAA,CAChB;AAAA,QACO,KAAK,SAAS;AAAA;AAAA,UAEZxB;AAAA,8BACoB;AAAA;AAAA,KAEzB,CAAC,EAAEqlF,GAAG,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,SAASD,GAAIzlF,EAAE,CAAC,GAAGA,IAAI,EAAE,MAAM,YAAY,GAAGA,GAAG,EAAE,OAAO0lF,GAAG,MAAM,EAAE1lF,CAAC,EAAE,IAAI,GAAG,aAAa,CAAC,EAAE,KAAK,GAAG,EAAE,MAAM,MAAM,oBAAoBA,wBAAwB,CAAC,CAAC,IAAI2lF,GAAG,KAAK,CAAC,YAAY/kF,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,WAAW,KAAK,KAAK,KAAK,KAAK,CAAC,EAAE,IAAIV,EAAE+2E,GAAG,KAAK,IAAI,EAAE,EAAEqF,GAAG,SAAS,KAAK,IAAI,EAAEj8E,EAAEi8E,GAAG,YAAY,KAAK,IAAI,EAAEz6E,EAAE,KAAK,OAAO,EAAE,YAAY,QAAQxB,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKyB,EAAE,wBAAwBzB,EAAE,KAAK,OAAOwB,KAAKE,EAAE;AAAA,mBACtjBD;AAAA,cACL,EAAE,KAAK,KAAK,CAAC,OAAOlB,EAAE,KAAK,KAAK,CAAC;AAAA,YACnCP,EAAE,KAAK,KAAK,CAAC;AAAA,qBACJyB;AAAA,YACTzB,EAAE,KAAK,KAAK,CAAC;AAAA;AAAA,MAEnB2B,EAAE,KAAK,OAAO,EAAE,GAAG;AAAA,UACf,EAAE,KAAK,KAAK,CAAC;AAAA,cACT,EAAE,KAAK,KAAK,CAAC,OAAOpB,EAAE,KAAK,KAAK,CAAC;AAAA,YACnCP,EAAE,KAAK,KAAK,CAAC;AAAA,qBACJyB;AAAA,gBACL,EAAE,KAAK,KAAK,CAAC,OAAOlB,EAAE,KAAK,KAAK,CAAC;AAAA,cACnCP,EAAE,KAAK,KAAK,CAAC;AAAA,uBACJyB;AAAA;AAAA;AAAA,MAGjB,EAAE,KAAK,MAAM,EAAE;AAAA,cACP5B,KAAKU,EAAE,IAAI,CAAC8B,EAAE,IAAI,SAAS,IAAI,EAAE,KAAK,MAAM9B,EAAE,IAAI,CAAC8B,EAAE,IAAI,GAAGrC,EAAE,CAAC,OAAO,EAAE,CAAC,aAAa,KAAK,EAAE,KAAK;AAAA,CAC/G,EAAE,KAAK,SAAS;AAAA;AAAA,UAEPH;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA6B;AAAA,UACAC;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAAS4jF,GAAI5lF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAED,EAAE,QAAQ,IAAIJ,EAAE,MAAM,EAAE,EAAEI,EAAE,eAAeF,EAAEF,EAAE,KAAK,EAAE,EAAEI,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,OAAO,OAAO,EAAEC,CAAC,EAAE,EAAE,SAAS,EAAE,EAAE,MAAMH,EAAE,EAAE,MAAMF,EAAE,MAAM,IAAI+B,EAAEnG,GAAG,kBAAkB,EAAE4C,EAAE,eAAewB,EAAE,KAAK,CAAC,EAAEK,EAAE,QAAQ0B,GAAG1B,EAAE,MAAM,YAAY,EAAE,MAAM,CAAC,WAAW0B,EAAE,WAAW1B,EAAE,OAAOA,EAAE,MAAM,YAAYL,EAAE,MAAM,EAAE,IAAIgC,EAAE5B,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,GAAG,EAAE,OAAOA,EAAE,aAAa,IAAI,EAAE,MAAM,WAAW4B,EAAE,CAAC,EAAE,CAAC,CAAC,SAAS6jF,GAAG7lF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,KAAK,CAAC,EAAED,EAAE,CAAC2B,EAAEC,CAAC,EAAEpG,GAAG,iBAAiByE,EAAE,EAAE,CAAC,EAAE,GAAGzE,GAAG,kBAAkByE,EAAE0B,EAAEC,CAAC,EAAExD,EAAE,cAAcwD,CAAC,IAAI,EAAE,OAAO9B,EAAE,eAAe8B,EAAE3B,EAAE,MAAM,CAAC,CAAC,EAAE,GAAGH,EAAE,mBAAmB,CAACG,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAIsC,EAAEzC,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEuC,EAAE24E,GAAG54E,EAAE,OAAOZ,EAAEC,EAAE3B,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOH,EAAE,eAAe8B,EAAE3B,EAAE,MAAMuC,CAAC,CAAC,CAAC,GAAG,CAAC,SAASX,CAAC,EAAE/B,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEqC,EAAE9G,GAAG,iBAAiByE,EAAE,MAAM0B,EAAEC,CAAC,EAAE,GAAGC,GAAG,CAACS,EAAE,CAAC,IAAIC,EAAE/Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI+zF,GAAG3jF,CAAC,EAAE,IAAIwjF,GAAGxjF,CAAC,EAAEY,EAAE,CAACb,CAAC,EAAE,OAAO7B,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,OAAO1C,EAAE,YAAYG,EAAE,MAAM,EAAEulF,GAAIvlF,EAAE0B,EAAEC,EAAE9B,CAAC,CAAC,CAAC,IAAI4lF,GAAG,CAAC,WAAWn7F,GAAG,YAAY,QAAQ,WAAWk7F,EAAE,EAAME,GAAI/lF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE5B,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAAC,EAAE0C,IAAI,EAAEA,CAAC,EAAEzC,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAE,CAAC,EAAEC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEgC,EAAEm9E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE4E,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3lF,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAOC,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKmB,CAAC,EAAEnB,EAAE,KAAK,CAAC,EAAEA,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAEoH,CAAC,EAAE0+E,GAAG,CAAC,WAAW1kG,GAAG,YAAY,QAAQ,WAAWykG,EAAG,EAAE,SAASE,GAAIjmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE+B,EAAEs3E,GAAGx3E,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAM+B,CAAC,CAAC,CAAC,IAAIikF,GAAG,CAAC,WAAW3kG,GAAG,YAAY,QAAQ,WAAW0kG,EAAG,EAAE,SAASE,GAAInmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,GAAGC,CAAC,EAAE,EAAE,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE,EAAEF,EAAE,SAASG,EAAE,MAAM,EAAE0B,EAAE/T,EAAE,2BAA2B,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,CAAC,CAAC,EAAE,OAAOkS,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQ,WAAW,KAAKA,CAAC,CAAC,CAAC,CAAC,IAAIqkF,GAAG,CAAC,WAAW5kG,GAAG,YAAY,QAAQ,WAAW2kG,EAAG,EAAME,GAAI,wBAAwBC,GAAGzG,GAAG,CAAC,UAAUwG,GAAI,cAAcxL,GAAG,MAAM,MAAM,CAAC,EAAE0L,GAAG,CAAC,WAAWx+F,GAAG,YAAY,QAAQ,WAAWu+F,EAAE,EAAE,SAASE,GAAGxmF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,EAAE,mBAAmB,IAAI,EAAE,QAAQH,CAAC,CAAC,CAAC,CAAC,IAAIumF,GAAG,CAAC,WAAWv9F,GAAG,YAAY,QAAQ,WAAWs9F,EAAE,EAAME,GAAI,wBAAwB,SAASC,GAAG3mF,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAIg9E,GAAGl9E,EAAE,MAAM0mF,EAAG,EAAEtmF,EAAE,EAAE,gBAAgBF,EAAE,CAACF,CAAC,EAAE,OAAO,EAAE,MAAM,CAAC,OAAOI,EAAE,OAAO,MAAMA,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASwmF,GAAG5mF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,GAAG,IAAI,YAAY,CAAC,GAAGC,EAAE,QAAQ,YAAY,OAAO0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI,EAAEX,GAAGc,EAAE,KAAK,EAAE0B,EAAE6kF,GAAG,CAAC,OAAO,CAAC,EAAEvmF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAKl9E,EAAE,KAAK,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAO,EAAE,QAAQ,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,CAAC,GAAG3B,EAAE,QAAQ,YAAY,CAAC,IAAI,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMnmF,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE6B,EAAE6kF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ1mF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE6B,CAAC,CAAC,GAAG,CAACvD,EAAE,gBAAgB6B,EAAE,MAAM,CAAC,EAAE,CAAC,IAAI,EAAE0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,GAAGA,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEH,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAE,OAAO,CAAC0B,EAAEC,EAAEC,CAAC,EAAEw3E,GAAG,EAAEp5E,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,eAAe6B,EAAEC,EAAEC,CAAC,CAAC,CAAC,GAAG,IAAI,QAAQ,OAAO0kF,GAAGtmF,EAAEH,CAAC,EAAE,GAAG,IAAI,OAAO,CAAC,IAAI,EAAEA,EAAE,eAAe,CAAC,EAAE,OAAO1B,EAAE,uBAAuB,OAAO,CAAC,CAAC,EAAEwD,EAAEskF,GAAG,CAAC,OAAO,CAAC,EAAEjmF,EAAE,EAAE,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B,CAAC,EAAE8B,CAAC,CAAC,MAAM,IAAI,MAAM,iCAAiC3B,EAAE,YAAY,GAAG,CAAC,CAAC,IAAIwmF,GAAG,CAAC,WAAWjlG,GAAG,YAAY,QAAQ,WAAWglG,EAAE,EAAME,GAAG,kBAAkBC,GAAInH,GAAG,CAAC,UAAUkH,GAAG,gBAAgBA,GAAG,cAAcpN,EAAE,CAAC,EAAEsN,GAAG,CAAC,WAAWnlG,GAAG,YAAY,QAAQ,WAAWklG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYrmF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWjlI,CAAC,EAAMsmF,GAAG,KAAK,CAAC,YAAYtmF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAWnN,CAAC,EAAE,SAASumF,GAAInnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAEnQ,EAAE,EAAE,QAAQ,iBAAiB,EAAEmQ,EAAE,IAAImlF,GAAG7mF,EAAE,KAAK,EAAE0B,EAAE,IAAIklF,GAAG5mF,EAAE,KAAK,EAAE,IAAI2B,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB6B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,CAAC,IAAIolF,GAAG,CAAC,WAAWtlG,GAAG,YAAY,QAAQ,WAAWqlG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYzmF,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAaxX,CAAC,EAAE,SAAS0mF,GAAGtnF,EAAE,EAAE,CAAC,MAAM,CAAC,OAAO,EAAE,OAAO,MAAM,EAAE,MAAM,MAAMA,EAAE,KAAK,CAAC,CAAC,SAASunF,GAAIvnF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,EAAE,IAAIinF,GAAGjnF,EAAE,KAAK,EAAE,EAAE,CAACknF,GAAGlnF,EAAEC,EAAE,mBAAmB,IAAI,EAAEinF,GAAGlnF,EAAEC,EAAE,mBAAmB,IAAI,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,EAAE,EAAE,CAAC,EAAE,KAAK,CAAC,CAAC,IAAIsnF,GAAG,CAAC,WAAWxlG,GAAG,YAAY,QAAQ,WAAWulG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY7mF,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY5S,EAAE,gBAAgB4S,EAAE,CAAC,EAAE,KAAK,cAAcA,EAAE,IAAI,CAACkB,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAI7B,EAAE,IAAI,MAAMU,EAAE,OAAO,CAAC,EAAEV,EAAE,CAAC,EAAEU,EAAE,CAAC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI5B,EAAE4B,CAAC,EAAE5B,EAAE4B,EAAE,CAAC,EAAElB,EAAEkB,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,YAAY5B,EAAE,CAAC,8BAA8B,EAAE,QAAQ4B,EAAE,EAAEA,EAAE5B,EAAE,OAAO4B,IAAI,CAAC,IAAIC,EAAE7B,EAAE4B,EAAE,CAAC,EAAE,EAAE,KAAK,iBAAiB5B,EAAE4B,CAAC,oBAAoBA,YAAYC,MAAM,CAAC,CAAC,IAAI1B,EAAEH,EAAE,OAAO2B,EAAE3B,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,KAAK,sBAAsBG,YAAYwB,MAAM,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMjyB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,KAEJ,CAAC,EAAM6lF,GAAG,KAAK,CAAC,YAAY9mF,EAAEV,EAAE,CAAC,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYlS,EAAE,gBAAgB4S,EAAEV,CAAC,EAAE,IAAI,EAAE,KAAK,YAAYG,EAAE,EAAE,OAAOwB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAEw6E,GAAG,SAASj8E,CAAC,EAAE0B,EAAE,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG,EAAE,MAAM,EAAE1B,CAAC,EAAE,KAAK,cAAcO,EAAE,IAAI,CAACoD,EAAEC,IAAI,IAAIA,GAAG,EAAE,IAAIjC,EAAE,IAAI,MAAMpB,EAAE,OAAO,CAAC,EAAEoB,EAAE,CAAC,EAAEpB,EAAE,CAAC,EAAEV,CAAC,EAAE,QAAQ8D,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAIhC,EAAEgC,CAAC,EAAEhC,EAAEgC,EAAE,CAAC,EAAEpD,EAAEoD,CAAC,EAAE9D,CAAC,EAAE,IAAI,EAAE6B,EAAE7B,CAAC,EAAEwC,EAAEX,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAE,KAAK,EAAEa,EAAE,OAAO,OAAOZ,EAAE,CAAC;AAAA;AAAA,oBAElZ,YAAYU,EAAE,KAAK;AAAA,WAC5B,QAAQsB,EAAE,EAAEA,EAAEhC,EAAE,OAAOgC,IAAI,CAAC,IAAIC,EAAEjC,EAAEgC,EAAE,CAAC,EAAEpB,GAAG;AAAA,cACzC,OAAOZ,EAAEgC,CAAC,SAAS,QAAQhC,EAAEgC,EAAE,CAAC;AAAA;AAAA,kBAE5BA,KAAK2jF,GAAG5lF,EAAE,EAAEkC,CAAC;AAAA,mBACZ0jF,GAAGjlF,EAAE,EAAEuB,CAAC;AAAA,UACjB,CAAC,IAAIpB,EAAEb,EAAE,OAAOc,EAAEd,EAAEA,EAAE,OAAO,CAAC,EAAEY,GAAG;AAAA;AAAA,gBAE7BC,KAAK8kF,GAAG5lF,EAAE,EAAEe,CAAC;AAAA,iBACZ6kF,GAAGjlF,EAAE,EAAEI,CAAC,OAAO,KAAK,SAAS;AAAA,uBACvBf,EAAE,IAAIiC,GAAG,OAAOA,CAAC;AAAA,UAC9BpB;AAAA;AAAA;AAAA;AAAA,UAIAf;AAAA,sCAC4BC;AAAA;AAAA,UAE5BA,EAAEzB,EAAE,CAAC,OAAOyB,EAAEzB,EAAE,CAAC;AAAA,cACbyB,EAAEzB,EAAE,CAAC,OAAO,EAAEA,EAAE,CAAC;AAAA,gCACCyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,CAAC,OAAOyB,EAAEzB,EAAE,CAAC;AAAA,cACbyB,EAAEzB,EAAE,CAAC,OAAO,EAAEA,EAAE,CAAC;AAAA,gCACCyB;AAAA;AAAA;AAAA,UAGtBA,EAAEzB,EAAE,CAAC,OAAOyB,EAAEzB,EAAE,CAAC;AAAA,cACbyB,EAAEzB,EAAE,CAAC,OAAO,EAAEA,EAAE,CAAC;AAAA,cACjByB,EAAEzB,EAAE,CAAC,OAAO,EAAEA,EAAE,CAAC;AAAA,gCACCyB;AAAA;AAAA;AAAA;AAAA,KAI3B,CAAC,EAAE,SAAS6lF,GAAG3nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,QAAQ,CAAC,EAAE,OAAOA,EAAE,IAAI,CAAC6B,EAAEC,IAAIA,IAAI1B,EAAE,GAAGyB,OAAO3B,IAAI2B,CAAC,EAAE,KAAK,CAAC,CAAC,SAAS+lF,GAAG5nF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,OAAO2+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,EAAE,mBAAmB,IAAI,EAAE,QAAQH,CAAC,CAAC,CAAC,CAAC,IAAI2nF,GAAG,CAAC,WAAWxiG,GAAG,YAAY,QAAQ,WAAWuiG,EAAE,EAAE,SAASE,GAAG9nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,CAAC,EAAE,MAAM,GAAGI,IAAI,YAAY,CAAC,IAAIyC,EAAE7C,EAAE,IAAI,GAAGwmF,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQtmF,CAAC,CAAC,CAAC,EAAE4C,EAAE9C,EAAE,IAAI,GAAG4nF,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE,QAAQ1nF,CAAC,CAAC,CAAC,EAAE8D,EAAE8jF,GAAGjlF,EAAE,EAAE3C,CAAC,EAAE,EAAE4nF,GAAGhlF,EAAE,EAAE5C,CAAC,EAAEoH,EAAE23E,GAAG,CAAC,OAAO,CAAC,KAAKj7E,EAAE,KAAK,CAAC,EAAE,QAAQ9D,CAAC,CAAC,EAAE,OAAO2C,EAAE,QAAQ,GAAG3C,EAAE,8BAA8B,CAAC,CAAC,EAAE4C,EAAE,QAAQ,GAAG5C,EAAE,8BAA8B,CAAC,CAAC,EAAEA,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEoH,CAAC,CAAC,IAAIjH,EAAEH,EAAE,mBAAmBF,CAAC,EAAE,GAAGI,IAAI,WAAWC,EAAE,IAAIA,EAAE,CAAC,IAAIwC,EAAE7C,EAAE,IAAI0E,GAAG,CAAC,IAAIE,EAAE,CAAC,GAAGpG,EAAE,cAAckG,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAE,OAAO47E,GAAG,CAAC,OAAO,CAAC,EAAE57E,CAAC,EAAE,QAAQxE,EAAE,MAAM,CAAC,MAAM0E,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE9B,EAAED,EAAE,IAAI6B,IAAI,CAAC,KAAKxE,EAAE,SAASwE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEV,EAAEhW,EAAE,gBAAgB6U,EAAE,IAAI6B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,EAAE7B,EAAE,CAAC,EAAE,MAAM,CAAC,IAAI,EAAEyE,EAAEqyE,GAAG72E,EAAEkB,EAAE5D,EAAE,CAAC,EAAE,EAAEpS,EAAE,gBAAgBgS,EAAE,IAAI0E,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAED,EAAEvE,EAAE,eAAe,EAAEE,EAAEkH,CAAC,EAAE,OAAOzE,EAAE,QAAQ6B,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI,EAAEzE,EAAE,OAAO6C,GAAGrE,EAAE,cAAcqE,EAAE,KAAK,EAAE,CAAC,EAAE,EAAEjR,EAAE,EAAE,QAAQ,6BAA6B,GAAG,EAAE,CAAC,EAAE,MAAM,OAAO,EAAE,GAAG,EAAE,SAAS,EAAE,CAAC,IAAIiR,EAAE,EAAE,IAAIq6E,GAAGl9E,EAAE,CAAC,EAAE,MAAMy9E,EAAE,EAAE,IAAIO,GAAGh+E,EAAE,CAAC,EAAE,MAAMy9E,EAAE,EAAE,OAAOv9E,EAAE,gBAAgB2C,EAAE7C,EAAEI,CAAC,CAAC,CAAC,IAAI2B,EAAEnQ,EAAE,EAAE,UAAU,8BAA8B,EAAE,GAAG,EAAE,OAAOmQ,EAAE,CAAC,IAAIc,EAAE,CAAC,EAAE,QAAQmB,EAAE,EAAEA,EAAE,EAAE,OAAOA,GAAGjC,EAAE,CAAC,IAAI,EAAE,EAAE,MAAMiC,EAAEA,EAAEjC,CAAC,EAAEc,EAAE,KAAKilF,GAAG,EAAE,EAAE5nF,CAAC,CAAC,CAAC,CAAC,IAAI4C,EAAEglF,GAAGjlF,EAAE,EAAE3C,CAAC,EAAE,QAAQ8D,KAAKnB,EAAE3C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOlB,CAAC,CAAC,GAAG,EAAE,CAAC,IAAID,EAAE,IAAI6kF,GAAG,EAAE,IAAI5kF,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB2C,EAAE,EAAEzC,CAAC,CAAC,CAAC,GAAG,CAAC,UAAU4B,EAAE,SAASC,CAAC,EAAE8lF,GAAI,EAAE,EAAE7nF,CAAC,EAAEwC,EAAE,IAAI+kF,GAAGzlF,EAAE,IAAIa,GAAGA,EAAE,KAAK,CAAC,EAAEF,EAAEzC,EAAE,gBAAgBwC,EAAEV,EAAE5B,CAAC,EAAE4B,EAAE,QAAQa,GAAG3C,EAAE,8BAA8B2C,CAAC,CAAC,EAAE,IAAID,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,MAAM,CAAC,MAAMV,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8ByC,CAAC,EAAEC,CAAC,CAAC,SAASmlF,GAAI/nF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEpS,EAAE,gBAAgBgS,EAAE,IAAI6B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,MAAM,CAAC,UAAU7B,EAAE,IAAI6B,GAAGy+E,GAAG,CAAC,OAAO,CAAC,EAAEz+E,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAGrD,EAAE,cAAcqD,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAE,QAAQ3B,CAAC,CAAC,CAAC,EAAE,SAASE,CAAC,CAAC,CAAC,SAAS4nF,GAAGhoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe6B,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAEjU,EAAE,uBAAuB,EAAE,CAAC,EAAE,IAAI+T,EAAE/T,EAAE,gBAAgB,EAAE,IAAIiU,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGzD,EAAE,cAAcuD,CAAC,IAAI,EAAE,OAAO7B,EAAE,eAAe6B,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,CAAC,EAAE,IAAIC,EAAE,EAAE,OAAOC,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,EAAE,CAAC,EAAE,OAAOD,EAAE,SAAS,EAAE+8E,GAAG,CAAC,OAAO,CAAC,EAAE/8E,EAAE,CAAC,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE4nF,GAAG9lF,EAAE,EAAE9B,CAAC,CAAC,CAAC,IAAI+nF,GAAG,CAAC,WAAWhmG,GAAG,YAAY,QAAQ,WAAW+lG,EAAE,EAAME,GAAG,KAAK,CAAC,YAAYtnF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYjB,EAAE,SAAS,IAAIkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,aAAa,EAAEA,EAAE,YAAY8B,EAAE9B,EAAE,eAAe,EAAEA,EAAE,cAAcgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAEqD,EAAErD,EAAE,aAAa,eAAe0G,EAAErD,EAAE,EAAE,EAAEa,EAAEb,EAAE,EAAE,EAAEQ,EAAER,EAAE,EAAE,EAAES,EAAE,GAAGC,EAAE,GAAG,IAAItE,EAAEqE,EAAE;AAAA;AAAA,YAEpwF;AAAA,WACD7C,EAAE6C,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJC,EAAE,gCAAgC,IAAIC,EAAE1E,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO6C;AAAA;AAAA,oCAE4B1C,MAAM;AAAA,iCACTF,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb0C;AAAA;AAAA;AAAA,2BAGC6C,cAAcxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOTlC;AAAA,qCACKF;AAAA;AAAA,gCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAiC;AAAA,uCACK;AAAA;AAAA,kCAELjC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBFD,IAAI;AAAA;AAAA,oBAEFC;AAAA;AAAA,0CAEsBnB;AAAA,mCACPA;AAAA;AAAA;AAAA,kCAGDA;AAAA,mCACCA;AAAA;AAAA;AAAA,yBAGVkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKPkB,IAAI;AAAA;AAAA,+BAEElB;AAAA,+BACAA;AAAA,+BACAA;AAAA;AAAA;AAAA,oBAGXmB;AAAA;AAAA,wCAEoBnB;AAAA,wCACAA;AAAA,wCACAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKRA;AAAA,gCACAA;AAAA,gCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB8B;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAEwjF,GAAG,KAAK,CAAC,YAAYvnF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,IAAIV,EAAEU,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,IAAIP,EAAEO,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,eAAe8B,EAAE9B,EAAE,cAAc,EAAEA,EAAE,YAAYgC,EAAEhC,EAAE,aAAaiC,EAAEjC,EAAE,YAAYkC,EAAE,KAAK,MAAMlC,EAAE,WAAW,CAAC,EAAE,EAAEoD,EAAEpD,EAAE,WAAW,EAAE,KAAK,SAAS;AAAA,oCACnUiB,MAAMC,MAAMC;AAAA,iCACf7B,MAAM,MAAMG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK2B;AAAA;AAAA,gCAELpB,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIAgC;AAAA,uCACK;AAAA;AAAA,kCAELhC,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAiC;AAAA,yCACKH;AAAA;AAAA,oCAEL9B,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlBkB,IAAI;AAAA;AAAA,4CAEoBlB;AAAA,qCACPA;AAAA,2BACVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA;AAAA;AAAA,2BAGVkB,IAAI;AAAA;AAAA,4CAEalB;AAAA,4CACAA;AAAA,4CACAA;AAAA;AAAA;AAAA,qCAGPA;AAAA,qCACAA;AAAA,qCACAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAShC,CAAC,EAAMslF,GAAG,KAAK,CAAC,YAAYxnF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,QAAQ,KAAKmB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,cAAc,EAAEA,EAAE,aAAa8B,EAAE9B,EAAE,YAAY,EAAE8B,EAAEE,EAAE;AAAA;AAAA,gDAE5Y,QAAQqB,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,yBAC9CqB,EAAE;AAAA,wBACHA,EAAE;AAAA,yBACDA,EAAE,EAAE;AAAA,wBACLA,EAAE,EAAE;AAAA,oBACRA,KAAKrB,GAAG;AAAA,2BACD;AAAA,8BACGhC,EAAE;AAAA,SACvB,QAAQqD,EAAE,EAAEA,EAAEvB,EAAEuB,IAAIrB,GAAG;AAAA,oBACZqB,EAAE;AAAA,oBACFA,EAAE;AAAA,oBACFA,EAAE,EAAE;AAAA,oBACJA,EAAE,EAAE;AAAA,eACTA,iBAAiBrB,GAAG;AAAA;AAAA;AAAA,SAG1B,QAAQqB,EAAE,EAAEA,GAAG,EAAE,GAAG,EAAEA,IAAI,CAAC,IAAIqD,EAAErD,EAAE,EAAE,GAAGrB,GAAG;AAAA,6BACvB0E,EAAEtF;AAAA,aAClBD,IAAI,GAAG,GAAGuF,EAAE5E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,uEAE8B0E;AAAA,4BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKEA;AAAA;AAAA,4BAEFA;AAAA;AAAA,iBAEXtF,IAAI,GAAGsF,EAAE,EAAE1E,GAAG;AAAA,qBACV0E,mBAAmBA,EAAE,gBAAgBA;AAAA,mBACvC1E,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYG0E,gCAAgCA;AAAA;AAAA,yBAEhCA,6BAA6BA;AAAA;AAAA,sBAEhC1E,GAAG;AAAA,2DACkC0E;AAAA,4BAC/BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,qBAGPA,cAAcA;AAAA,mBAChBA,EAAE,EAAE5E,GAAG,CAAC,IAAIoC,EAAEhD,EAAE,IAAI,EAAEtD,EAAE,kBAAkBwD,CAAC,EAAEA,EAAEA,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGE,EAAE,IAAI,GAAGF,EAAE,IAAI,GAAGc,GAAG;AAAA,wDACjDkC;AAAA;AAAA,yEAEiBwC,EAAE;AAAA,8BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKAA,EAAE;AAAA;AAAA,8BAEJA,EAAE;AAAA;AAAA,qBAEXtF,EAAE,EAAEY,GAAG;AAAA;AAAA;AAAA;AAAA,0BAIF0E,EAAE,gCAAgCA,EAAE;AAAA;AAAA,0BAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,uBAEpC1E,GAAG;AAAA,yBACD0E,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,wBACxCxC,IAAI,EAAElC,GAAG;AAAA,yBACR0E,EAAE,cAAcA;AAAA,uBAClB1E,GAAG;AAAA,uCACakC;AAAA;AAAA,2EAEoCwC,EAAE;AAAA,gCAC7CA,EAAE;AAAA;AAAA,kCAEAA,EAAE;AAAA;AAAA,gCAEJA,EAAE;AAAA;AAAA;AAAA,yBAGTA,EAAE,cAAcA,EAAE;AAAA,sBACrB,OAAOA,EAAE5E,IAAIZ,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAEuB0E;AAAA,4BAC1CA;AAAA;AAAA;AAAA;AAAA,8BAIEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA,kEAGsCA,EAAE;AAAA,4BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,8BAIAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,iBACzCA,EAAE,EAAE5E,IAAIE,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAML0E,EAAE,mBAAmBA,EAAE;AAAA,sBACxB1E,GAAG;AAAA,0DACiC0E;AAAA,4BAC9BA;AAAA;AAAA,8BAEEA;AAAA;AAAA,4BAEFA;AAAA;AAAA;AAAA;AAAA,sEAI0CA,EAAE;AAAA,4BAC5CA,EAAE;AAAA;AAAA,8BAEAA,EAAE;AAAA;AAAA,4BAEJA,EAAE;AAAA;AAAA;AAAA,qBAGTA;AAAA,4BACOA,gBAAgBA,EAAE;AAAA,iBAC7BA,EAAE,EAAE5E,IAAIE,GAAG;AAAA,uBACL0E,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,sBACxCA,EAAE5E,IAAIE,GAAG;AAAA,gCACC0E;AAAA,4BACJA;AAAA,2BACD1G,EAAE;AAAA,8BACC0G;AAAA;AAAA,aAEjBA,EAAE,EAAE5E,IAAIE,GAAG;AAAA,kCACU0E,EAAE;AAAA,8BACNA,EAAE;AAAA,6BACH1G,EAAE;AAAA,gCACC0G,EAAE;AAAA;AAAA,gBAElB,CAAC1E,GAAG;AAAA;AAAA,KAEfA,GAAG;AAAA;AAAA,KAEHA,GAAG;AAAA;AAAA,KAEH,IAAIC,EAAE,GAAGC,EAAE,GAAG,IAAIzC,EAAEwC,EAAE;AAAA;AAAA,aAEd;AAAA,YACDhB,EAAEgB,EAAE;AAAA;AAAA,aAEH;AAAA,YACDA,EAAE;AAAA,aACD;AAAA,YACDC,EAAE,gCAAgC,IAAIkB,EAAE9D,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,SACrOgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaED;AAAA;AAAA;AAAA,WAGAoB;AAAA,WACAlB;AAAA;AAAA;AAAA,MAGL,CAAC,EAAMulF,GAAG,KAAK,CAAC,YAAYznF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,aAAa,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,EAAE,CAAC,KAAK,WAAW,KAAK,OAAO,EAAE,CAAC,KAAK,aAAa,KAAK,KAAK,EAAE,CAAC,KAAK,mBAAmB,KAAK,KAAK,EAAE,CAAC,KAAK,WAAW,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,GAAG,CAAC,WAAW,CAAC,EAAEr3E,EAAEG,EAAEuzE,GAAG,EAAE/xE,EAAE,IAAI,eAAeC,EAAED,EAAE,EAAE,EAAEE,EAAEF,EAAE,EAAE,EAAEG,EAAE,KAAK,oBAAoB,sDAAsD,mBAAmBpB,EAAE,CAAC,cAAcA,EAAE,CAAC,OAAO,EAAE,GAAG,QAAQ8B,EAAE,EAAEA,GAAG,EAAEA,IAAI,QAAQ,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG;AAAA,gCACjnB;AAAA,yBACPA;AAAA;AAAA,YAEbV;AAAA;AAAA;AAAA;AAAA,iCAIqBF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQEC;AAAA;AAAA;AAAA;AAAA,sBAIbF;AAAA;AAAA,2BAEKa,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJA,EAAE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOrB,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEArC,EAAE;AAAA;AAAA,KAEP,CAAC,EAAE,SAASioF,GAAGtoF,EAAE,EAAE,CAAC,IAAIE,EAAEF,EAAE,OAAO,OAAOE,GAAG,EAAE,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,CAAC,EAAE,CAAC,GAAGF,EAAE,MAAM,EAAE,EAAE,EAAEA,EAAEE,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,EAAEF,EAAEE,EAAE,CAAC,CAAC,EAAE,CAAC,GAAGA,IAAI,GAAGF,EAAE,CAAC,EAAE,EAAE,CAACA,EAAE,CAAC,EAAE,CAAC,EAAE,IAAI,CAAC,SAASuoF,GAAG,CAAC,EAAEvoF,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQE,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,IAAIC,EAAEhC,EAAE,MAAMiC,EAAE7B,EAAE,QAAQ,IAAIJ,EAAE,MAAM,EAAE0C,EAAExC,EAAE,WAAWyC,EAAEX,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEY,EAAE1C,EAAE,YAAY2C,EAAE3C,EAAE,aAAa,eAAe4C,EAAE,GAAGkB,EAAE,GAAG,EAAEsD,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI5C,EAAE4jF,GAAG,EAAE,MAAMzlF,CAAC,EAAE6B,GAAG,OAAO,EAAE47E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE4C,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGjH,GAAG,KAAK,CAAC,IAAIqE,EAAE4jF,GAAGjoF,EAAE,MAAMwC,CAAC,EAAE6B,GAAG,OAAOrE,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAMsE,CAAC,CAAC,CAAC,EAAE4C,EAAE,KAAKjH,CAAC,EAAE,CAAC,GAAG,GAAGsC,IAAI,GAAGC,IAAI,IAAIF,EAAE2+E,KAAKp/E,EAAE,UAAUY,GAAGZ,EAAE,SAAS,MAAMD,EAAE,CAAC,EAAE,IAAI,GAAGxD,EAAE,YAAYyD,EAAE,MAAM,MAAM,EAAE,EAAED,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC,IAAI0C,EAAE1C,EAAE,CAAC,EAAEA,EAAE,CAAC,GAAGA,EAAE,CAAC,EAAE,GAAG2C,EAAE,CAAC,OAAO3E,EAAE,OAAO,MAAM,CAAC,EAAE0E,EAAExE,EAAE,UAAU,EAAE,MAAMF,EAAE,KAAK,EAAE4E,EAAE3C,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,IAAIzD,EAAE,OAAO8yE,GAAGrvE,EAAE,MAAM0C,EAAE,KAAK,EAAE,IAAI,kBAAkB1C,EAAE,YAAY0C,EAAE,kBAAkB,EAAE,IAAIE,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEF,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAEoH,EAAE,KAAKzC,CAAC,EAAE,IAAIE,EAAEu8E,GAAG,CAAC,EAAE38E,EAAE,EAAEE,EAAE,QAAQzE,EAAE,WAAW0C,EAAE,WAAWkB,EAAE,KAAK3D,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAEwF,EAAEnH,EAAE,QAAQ,IAAI2E,EAAE,MAAM,EAAEvG,EAAE,OAAO+I,EAAE,SAAS,IAAI,6CAA6C,EAAEtF,EAAE,MAAM2C,EAAE2C,EAAE,MAAMrH,EAAE,SAAS,EAAE6+E,GAAG,CAAC,OAAO,CAAC,EAAEh6E,CAAC,EAAE,QAAQ3E,CAAC,CAAC,EAAE,EAAE,MAAMF,EAAE,SAASoH,EAAE,KAAKvC,CAAC,CAAC,KAAK,CAAC,IAAIL,EAAExE,EAAE,UAAUA,EAAE,SAASyE,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQI,EAAE,MAAM,CAAC,MAAMyC,EAAE,CAAC3C,EAAE,UAAUwE,EAAExE,EAAE,UAAU,EAAE,CAACA,EAAE,UAAUA,EAAE,WAAWwE,CAAC,CAAC,CAAC,CAAC,EAAEE,EAAE07E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAEF,EAAE,WAAWA,EAAE,WAAW,CAAC,CAAC,CAAC,EAAE2E,EAAEy8E,GAAG,CAAC,EAAEz+E,EAAE8B,EAAEC,EAAE,EAAE/B,EAAE+B,EAAED,EAAE,WAAW,CAAC9B,EAAE,WAAWmB,EAAE,QAAQ5D,EAAE,KAAKC,EAAE,WAAW0B,EAAE,uBAAuB,EAAE,eAAe,CAAC,CAAC,EAAE,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEz7E,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAMF,EAAE,QAAQ,CAAC,CAAC,EAAEoH,EAAE,KAAK3C,CAAC,EAAE2C,EAAE,KAAK1C,CAAC,EAAE0C,EAAE,KAAKzC,CAAC,CAAC,CAAC,QAAQH,KAAK4C,EAAElH,EAAE,8BAA8BsE,CAAC,EAAE,OAAO,CAAC,CAAC,SAAS8jF,GAAG,CAAC,EAAExoF,EAAE,OAAO,EAAE,SAASE,EAAE,QAAQE,EAAE,KAAKC,EAAE,KAAK,uBAAuB,EAAE,KAAK,eAAe,EAAE,EAAE,WAAW0B,EAAE,IAAI,EAAE,CAAC,GAAG,CAAC,YAAYC,EAAE,aAAaC,EAAE,WAAWS,EAAE,SAASC,EAAE,UAAUC,EAAE,WAAWC,CAAC,EAAE3C,EAAE4C,EAAED,IAAI,eAAemB,EAAEhC,EAAEC,EAAES,EAAE,EAAEE,EAAED,EAAE2E,EAAE,CAACpH,EAAE,UAAU8D,EAAE,CAAC,EAAE,EAAE,GAAGS,EAAE,GAAGC,EAAE,CAAC,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIuD,EAAEqgF,GAAG,EAAE,MAAMxlF,CAAC,EAAEmF,GAAG,OAAO,EAAEq4E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM6H,CAAC,CAAC,CAAC,EAAEvD,EAAE,KAAK,CAAC,EAAE,CAAC,GAAGrE,GAAG,KAAK,CAAC,IAAI4H,EAAEqgF,GAAGjoF,EAAE,MAAMyC,CAAC,EAAEmF,GAAG,OAAO5H,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM6H,CAAC,CAAC,CAAC,EAAEvD,EAAE,KAAKrE,CAAC,EAAE,CAAC,IAAIsE,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE4D,EAAExF,EAAE,cAAc,EAAE,KAAK,EAAEwF,CAAC,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAE,IAAIC,EAAE,IAAIyjF,GAAG/gF,EAAEpH,CAAC,EAAE2E,EAAE,CAAC7E,EAAE,MAAM,CAACE,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,UAAU,EAAE,CAACA,EAAE,YAAYA,EAAE,UAAU,EAAE,CAACA,EAAE,QAAQ,CAAC,EAAE6E,EAAE3E,EAAE,gBAAgBwE,EAAE,CAAC5E,CAAC,EAAE,UAAU6E,CAAC,EAAE0C,EAAE+4E,GAAG,CAAC,OAAO,CAAC,EAAEv7E,CAAC,EAAE,QAAQ3E,EAAE,MAAM,CAAC,MAAMkH,CAAC,CAAC,CAAC,EAAE5C,EAAE,KAAKK,CAAC,EAAEL,EAAE,KAAK6C,CAAC,EAAE,IAAIvC,EAAE3E,GAAG,KAAK4E,EAAE,GAAG,KAAKC,EAAEnD,IAAI,YAAYoD,EAAEpD,EAAE+9E,GAAG/9E,EAAE,EAAE,EAAE,KAAKqD,EAAE,IAAI26E,GAAGj9E,EAAEyE,EAAE,MAAM5C,EAAE,MAAM7B,EAAE6B,EAAE,MAAM4C,EAAE,MAAMzE,EAAE,CAAC5C,EAAE,UAAU,EAAEA,EAAE,WAAW,EAAE,CAACA,EAAE,UAAUA,EAAE,YAAY,CAAC,EAAE,EAAEuE,EAAEO,EAAEG,EAAEF,EAAEC,CAAC,EAAEG,EAAEvC,EAAE,CAACyE,EAAE5C,CAAC,EAAE,CAACA,EAAE4C,CAAC,EAAE,GAAGlH,GAAGgF,EAAE,KAAKhF,CAAC,EAAE4E,GAAGI,EAAE,KAAK,CAAC,EAAEH,EAAE,CAAC,IAAI+C,EAAE7H,EAAE,eAAe,CAAC,EAAE,UAAU5B,EAAE,kBAAkB,EAAE,SAAS,CAAC,EAAE6G,EAAE,KAAK4C,CAAC,EAAEvD,EAAE,KAAKuD,CAAC,CAAC,CAAC,IAAID,EAAE5H,EAAE,gBAAgBgF,EAAEC,EAAE,SAAS,EAAEoC,EAAE64E,GAAG,CAAC,OAAO,CAAC,EAAEt4E,CAAC,EAAE,QAAQ5H,EAAE,MAAM,CAAC,MAAMF,EAAE,QAAQ,CAAC,CAAC,EAAEwE,EAAE,KAAKsD,CAAC,EAAE,QAAQC,KAAKvD,EAAEtE,EAAE,8BAA8B6H,CAAC,EAAE,OAAOR,CAAC,CAAC,SAASghF,GAAIzoF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,UAAUC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE4B,EAAEF,EAAEW,EAAE,GAAGC,CAAC,EAAEE,EAAE,GAAGD,EAAE,eAAe,GAAGA,EAAE,cAAc,GAAGA,EAAE,iBAAiB,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,eAAe,GAAGA,EAAE,cAAc,IAAIA,EAAE,QAAQ,OAAO,QAAQA,EAAE,QAAQ,OAAO,SAASC,EAAE0lF,GAAG,CAAC,EAAEloF,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ1C,CAAC,CAAC,UAAU0C,EAAE,aAAa,GAAGD,IAAI,gBAAgB/Q,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAIoS,EAAE,IAAIokF,GAAGxlF,CAAC,EAAE,EAAE,CAAC,CAACA,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAEC,EAAE3C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAE,CAAC,EAAE,UAAU,CAAC,CAAC,SAASzO,EAAE,EAAE,QAAQ,mBAAmB,EAAEiR,EAAE2lF,GAAG,CAAC,EAAEnoF,EAAE,OAAO,EAAE,SAASuC,EAAE,QAAQ1C,CAAC,CAAC,MAAM,CAAC,IAAI8D,EAAE,IAAIkkF,GAAGtlF,CAAC,EAAEC,EAAE3C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIyC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM0C,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,IAAI4lF,GAAG,CAAC,WAAWxmG,GAAG,YAAY,QAAQ,WAAWumG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY/nF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,aAAa,eAAe,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYzxIA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAOG;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oBAIlBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE8mF,GAAG,KAAK,CAAC,YAAYhoF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAa,eAAemB,EAAE7B,EAAE,EAAEU,EAAE,QAAQ,IAAIoB,EAAE,EAAE,EAAEpB,EAAE,QAAQ,KAAK,EAAEkB,EAAE,EAAE,EAAEY,EAAEZ,EAAE,EAAE,EAAE,EAAEA,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC7OC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAcU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtBxC;AAAA,gDACgBG;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB2B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESA,EAAE;AAAA;AAAA,oBAElBkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAef,CAAC,EAAE+mF,GAAG,KAAK,CAAC,YAAYjoF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,QAAQ,MAAMkB,EAAElB,EAAE,QAAQ,IAAImB,EAAEnB,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrLA,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAO2B;AAAA;AAAA,kCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOkB;AAAA;AAAA,oCAENlB,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIAA,EAAE;AAAA,qCACHP,OAAO0B;AAAA;AAAA,sCAENnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAanC,CAAC,EAAEkoF,GAAG,KAAK,CAAC,YAAYloF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,YAAYkB,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAE9B,EAAE,EAAEU,EAAE,QAAQ,MAAM,EAAE,EAAE,EAAEA,EAAE,QAAQ,IAAI8B,EAAErC,EAAE,EAAEO,EAAE,QAAQ,KAAK,KAAK,SAAS;AAAA,iCAC3OoB,MAAM,MAAMU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcbxC;AAAA,gDACgB2B;AAAA;AAAA,oCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAESP;AAAA,oDACgB0B;AAAA;AAAA,wCAEZnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMbP;AAAA;AAAA,sCAESO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUnC,CAAC,EAAE,SAASmoF,GAAI/oF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBgU,CAAC,EAAEY,EAAE5U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAE,EAAEX,EAAEE,EAAE,GAAGU,CAAC,EAAEE,EAAE,IAAI8lF,GAAG/lF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI2oF,GAAG,CAAC,WAAW7mG,GAAG,YAAY,QAAQ,WAAW4mG,EAAG,EAAE,SAASE,GAAIjpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,WAAWC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,wBAAwBiU,CAAC,EAAEW,EAAE5U,EAAE,kBAAkB,EAAE,EAAE,MAAM+T,EAAE,EAAEC,EAAEU,EAAE,GAAGC,CAAC,EAAEE,EAAE,IAAI+lF,GAAGhmF,CAAC,EAAE,OAAO1C,EAAE,gBAAgB2C,EAAE,CAACxC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI6oF,GAAG,CAAC,WAAW9mG,GAAG,YAAY,QAAQ,WAAW6mG,EAAG,EAAE,SAASE,GAAInpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAE2B,EAAED,CAAC,EAAEW,EAAE,IAAIylF,GAAGlmF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAI+oF,GAAG,CAAC,WAAW/mG,GAAG,YAAY,QAAQ,WAAW8mG,EAAG,EAAE,SAASE,GAAIrpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,YAAYC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBqS,EAAE,MAAM2B,EAAE,EAAE,EAAED,CAAC,EAAEW,EAAE,IAAImmF,GAAG5mF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIipF,GAAG,CAAC,WAAWhnG,GAAG,YAAY,QAAQ,WAAW+mG,EAAG,EAAE,SAASE,GAAIvpF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,IAAI,EAAE,QAAQ0B,EAAE,WAAWC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,kBAAkBgU,EAAE,EAAE,MAAMD,EAAE,EAAE,CAAC,EAAEW,EAAE,IAAIomF,GAAG7mF,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAImpF,GAAG,CAAC,WAAWjnG,GAAG,YAAY,QAAQ,WAAWgnG,EAAG,EAAME,GAAI9J,GAAG;AAAA;AAAA,EAE74C+J,GAAI9J,GAAG,CAAC,UAAU6J,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWnnG,GAAG,YAAY,QAAQ,WAAWknG,EAAG,EAAME,GAAI;AAAA;AAAA;AAAA,EAGtFC,GAAIjK,GAAG,CAAC,UAAUgK,EAAG,CAAC,EAAEE,GAAG,CAAC,WAAWrnG,GAAG,YAAY,QAAQ,WAAWonG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYnpF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,QAAQ,QAAQ,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,CAAC8B,CAAC,EAAExC,EAAE,CAAC,EAAE0C,CAAC,EAAE,EAAE,KAAK,YAAY,CAACF,EAAE,EAAEE,EAAE,CAAC,EAAE,IAAIC,EAAExC,IAAI,WAAW,EAAE,EAAE,CAACyC,EAAEkB,CAAC,EAAE,CAAC,GAAGjC,EAAE,MAAM,GAAGC,EAAE,KAAK,EAAE,CAACiC,EAAEqD,EAAExC,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI/C,EAAE,IAAI,EAAE,KAAK,yBAAyB,MAAMe,6BAA6B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,CAAC2B,EAAEC,EAAEC,CAAC,EAAE/B,EAAE,EAAE,CAAC,IAAIZ,EAAE,IAAIY,EAAE,KAAK,wBAAwB,MAAMoB,4BAA4B,EAAE,CAAC,MAAM,MAAM,mBAAmBA,GAAG,EAAE,KAAK,SAAS;AAAA,yCAC1gBC;AAAA,wCACDQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP3C;AAAA;AAAA;AAAA;AAAA,+BAIFwF;AAAA,8BACD5C;AAAA;AAAA,uBAEPI;AAAA,mCACYhC;AAAA,4BACPjB;AAAA;AAAA;AAAA,uBAGL8C;AAAA,mCACYX;AAAA,4BACPnC;AAAA;AAAA;AAAA;AAAA;AAAA,aAKfgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAwBR,CAAC,EAAMmnF,GAAIhqF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,SAAS0B,EAAE,OAAOC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAE,IAAIqnF,GAAG1pF,EAAE,MAAM,EAAE,MAAM0B,EAAEC,EAAEC,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,EAAE,EAAE,CAAC,EAAE,SAAS,CAAC,EAAE4pF,GAAG,CAAC,WAAWvnG,GAAG,YAAY,QAAQ,WAAWsnG,EAAG,EAAME,IAAI,SAASlqF,EAAE,CAACA,EAAE,KAAK,IAAIA,EAAE,IAAI,GAAG,GAAGkqF,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,KAAK,CAAC,YAAYvpF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,GAAGO,EAAE,KAAK,YAAYV,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,IAAI2B,EAAE,KAAK,YAAY,OAAOC,EAAE,KAAK,KAAKooF,GAAG,KAAK,MAAM,MAAMnoF,EAAE,EAAED,EAAE,QAAQsoF,GAAGvoF,EAAE,SAAS,KAAK,EAAE,KAAKG,EAAE,KAAK,YAAY,KAAK,YAAY,OAAO,CAAC,EAAE,EAAE,GAAGU,EAAE,GAAG,GAAG,EAAErC,EAAE,UAAU2B,EAAE,IAAI,WAAWU,EAAErC,EAAE,UAAU,YAAY,EAAEA,EAAE,gBAAgB2B,IAAI,cAAcU,EAAErC,EAAE,aAAa,cAAc,KAAK,SAAS;AAAA;AAAA,UAE1uB42E,GAAGp1E,CAAC;AAAA,oBACMwoF,GAAGxoF,EAAE,SAAS,KAAK,EAAE;AAAA,sBACnBE;AAAA;AAAA,cAER;AAAA,sBACQW;AAAA,YACV2nF,GAAGxoF,EAAE,SAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAYuoF,GAAGvoF,EAAE,SAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA,KAIjD,CAAC,EAAE,SAASuoF,GAAGpqF,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,QAAQ,QAAQ,QAAQ,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASqqF,GAAGrqF,EAAE,EAAEE,EAAE,CAAC,GAAGF,IAAI,EAAE,MAAM,GAAG,IAAI,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,GAAGA,IAAI,EAAE,MAAM,GAAG,MAAM,MAAM,IAAI,MAAM,cAAcE,cAAcF,wBAAwB,CAAC,CAAC,SAASsqF,GAAGtqF,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE,MAAM,OAAO0B,EAAE/T,EAAE,mBAAmB,CAACoS,CAAC,EAAE,CAAC,EAAE4B,EAAE,EAAED,GAAG,OAAOC,EAAEm/E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQjhF,EAAE,MAAM,CAAC,KAAK6B,CAAC,CAAC,CAAC,GAAG,IAAIE,EAAEjU,EAAE,iBAAiB,EAAE,CAAC,EAAE,CAAC,EAAE,GAAGiU,IAAI,EAAE,EAAE,MAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,OAAO,kBAAkB7B,GAAG,EAAE,IAAIsC,EAAEV,EAAE,MAAMC,CAAC,EAAEU,EAAEo8E,GAAG,CAAC,OAAO,CAAC,EAAE/8E,CAAC,EAAE,QAAQ9B,CAAC,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,GAAG,KAAK,KAAK,KAAK,KAAKF,CAAC,CAAC,EAAE,EAAEE,IAAI,CAAC,IAAIC,EAAE,IAAIsnF,GAAGnqF,EAAEgC,EAAE,MAAM,GAAG,CAAC,EAAEc,EAAE,CAAC,CAACF,CAAC,CAAC,EAAEoB,EAAErB,EAAEA,EAAEzC,EAAE,gBAAgB2C,EAAE,CAACF,CAAC,EAAEA,EAAE,MAAMG,CAAC,EAAE5C,EAAE,8BAA8B8D,CAAC,CAAC,CAAC,GAAG3D,EAAE,CAAC,IAAIuC,EAAE,IAAIunF,GAAGnqF,EAAEgC,EAAE,MAAM3B,EAAE,CAAC,EAAEwC,EAAEF,EAAEA,EAAEzC,EAAE,gBAAgB0C,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,EAAEzC,EAAE,8BAA8B2C,CAAC,CAAC,CAAC,GAAGd,GAAG,KAAK,CAAC,IAAIa,EAAE5U,EAAE,uBAAuB+T,CAAC,EAAEc,EAAEs+E,GAAG,CAAC,OAAO,CAAC,EAAEx+E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B8B,CAAC,EAAEa,CAAC,CAAC,OAAOF,CAAC,CAAC,SAAS4nF,GAAIvqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOkqF,GAAGJ,GAAG,KAAK7pF,EAAEH,EAAE,EAAE,EAAE6B,CAAC,CAAC,CAAC,IAAIyoF,GAAG,CAAC,WAAW7nG,GAAG,YAAY,QAAQ,WAAW4nG,EAAG,EAAE,SAASE,GAAIzqF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE,OAAOkqF,GAAGJ,GAAG,IAAI7pF,EAAEH,EAAE,EAAE,EAAE6B,CAAC,CAAC,CAAC,IAAI2oF,GAAG,CAAC,WAAW9nG,GAAG,YAAY,QAAQ,WAAW6nG,EAAG,EAAE,SAASE,GAAI3qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE4B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEwC,EAAE62E,GAAGv3E,EAAEC,EAAE,EAAE,MAAM,EAAE,MAAM,CAAC,EAAE,OAAO/B,EAAE,eAAe,CAAC,CAAC,EAAE,EAAE,MAAMwC,CAAC,CAAC,SAASrC,EAAE,MAAM,SAAS,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,WAAWG,CAAC,EAAE4B,EAAE/B,EAAE,WAAW,CAAC,EAAEwC,EAAE82E,GAAGx3E,EAAEC,EAAE,EAAEF,CAAC,EAAE,OAAO7B,EAAE,eAAewC,EAAE,MAAM,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,MAAM,IAAI,MAAM,qEAAqErC,EAAE,MAAM,SAAS,CAAC,CAAC,IAAIuqF,GAAG,CAAC,WAAW7nG,GAAG,YAAY,QAAQ,WAAW4nG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYjqF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYU,EAAE,KAAK,UAAUV,EAAE,KAAK,WAAW,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,gBAIvqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA,GAGhD,CAAC,sBAAsB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,qBAAqB,CAAC,OAAO,KAAK,aAAa,OAAO,YAAY,WAAW,CAAC,oBAAoB,CAAC,OAAO,KAAK,aAAa,OAAO,KAAK,YAAY,CAAC,EAAE,KAAK,YAAY,CAAC,CAAC,CAAC,wBAAwB,CAAC,OAAO,KAAK,aAAa,OAAO,4BAA4B,2BAA2B,CAAC,EAAE,SAAS4qF,GAAI9qF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,CAAC,EAAE2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,IAAI6mF,GAAG/nF,EAAE,EAAE,CAAC,EAAE,OAAO5C,EAAE,gBAAgB8D,EAAE,CAAC3D,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI0qF,GAAG,CAAC,WAAW/nG,GAAG,YAAY,QAAQ,WAAW8nG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYpqF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,aAAamB,EAAEnB,EAAE,YAAYoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,EAAE,GAAG8B,EAAE,GAAG,IAAIrC,EAAE,EAAE;AAAA;AAAA,YAEzqC;AAAA,WACDwB,EAAE,EAAE;AAAA;AAAA,YAEH;AAAA,WACD,EAAE;AAAA;AAAA,cAEC;AAAA;AAAA,UAEJa,EAAE,gCAAgC,IAAI,EAAExC,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBG;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASIF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACAW;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMuoF,GAAG,KAAK,CAAC,YAAYrqF,EAAEV,EAAE,GAAG,EAAE,KAAKG,EAAE,GAAGwB,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,EAAE,CAAC,KAAK,UAAU,KAAK,OAAO,EAAE,CAAC,KAAK,YAAY,KAAK,OAAO,EAAE,CAAC,KAAK,SAAS,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYjB,EAAE,SAAS,KAAK,oBAAoB22E,GAAG,KAAK,YAAY,MAAM,EAAE,IAAIz1E,EAAElB,EAAE,YAAYA,EAAE,WAAWmB,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAY,EAAEA,EAAE,cAAc8B,EAAE9B,EAAE,aAAa,EAAEA,EAAE,YAAYgC,EAAE,EAAEC,EAAE;AAAA;AAAA,+CAE1a,QAAQyE,EAAE,EAAEA,EAAE,EAAEA,IAAIzE,GAAG;AAAA,wBAC9CyE,EAAE;AAAA,uBACHA,EAAE;AAAA,wBACDA,EAAE,EAAE;AAAA,uBACLA,EAAE,EAAE;AAAA,mBACRA,KAAKzE,GAAG;AAAA,0BACDH;AAAA,QAClB,QAAQ4E,EAAE,EAAEA,EAAE,EAAEA,IAAIzE,GAAG;AAAA,mBACZyE,EAAE;AAAA,mBACFA,EAAE;AAAA,mBACFA,EAAE,EAAE;AAAA,mBACJA,EAAE,EAAE;AAAA,cACTA,iBAAiBzE,GAAG;AAAA;AAAA;AAAA,QAG1B,QAAQyE,EAAE,EAAEA,GAAG1E,EAAE,GAAG,EAAE0E,IAAI,CAAC,IAAIxC,EAAEwC,EAAE,EAAE,GAAGzE,GAAG;AAAA,4BACvBiC,EAAE;AAAA,YAClB9C,IAAI,GAAG,GAAG8C,EAAE,IAAI/C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,sEAE8BiC;AAAA,2BAC3CA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKEA;AAAA;AAAA,2BAEFA;AAAA;AAAA,gBAEX,IAAI,GAAGA,EAAE,EAAEjC,GAAG;AAAA,oBACViC,mBAAmBA,EAAE,gBAAgBA;AAAA,kBACvCjC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYGiC,gCAAgCA;AAAA;AAAA,wBAEhCA,6BAA6BA;AAAA;AAAA,qBAEhCjC,GAAG;AAAA,0DACkCiC;AAAA,2BAC/BA;AAAA;AAAA,6BAEEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA,oBAGPA,cAAcA;AAAA,kBAChBA,EAAE,EAAE,GAAG,CAAC,IAAIL,EAAE1C,EAAE,IAAI,EAAEvD,EAAE,kBAAkB,CAAC,EAAE,EAAE,EAAE,IAAI,GAAGuD,EAAE,IAAI,GAAG,EAAE,IAAI,GAAGA,EAAE,IAAI,GAAGc,GAAG;AAAA,uDACjD4B;AAAA;AAAA,wEAEiBK,EAAE;AAAA,6BAC7CA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKAA,EAAE;AAAA;AAAA,6BAEJA,EAAE;AAAA;AAAA,oBAEX,EAAE,EAAEjC,GAAG;AAAA;AAAA;AAAA;AAAA,yBAIFiC,EAAE,gCAAgCA,EAAE;AAAA;AAAA,yBAEpCA,EAAE,6BAA6BA,EAAE;AAAA;AAAA,sBAEpCjC,GAAG;AAAA,wBACDiC,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,uBACxCL,IAAI,EAAE5B,GAAG;AAAA,wBACRiC,EAAE,cAAcA;AAAA,sBAClBjC,GAAG;AAAA,sCACa4B;AAAA;AAAA,0EAEoCK,EAAE;AAAA,+BAC7CA,EAAE;AAAA;AAAA,iCAEAA,EAAE;AAAA;AAAA,+BAEJA,EAAE;AAAA;AAAA;AAAA,wBAGTA,EAAE,cAAcA,EAAE;AAAA,qBACrB,OAAOA,EAAE,IAAI/C,EAAE,IAAI,GAAGc,GAAG;AAAA;AAAA,qEAEuBiC;AAAA,2BAC1CA;AAAA;AAAA;AAAA;AAAA,6BAIEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA,iEAGsCA,EAAE;AAAA,2BACxCA,EAAE;AAAA;AAAA;AAAA;AAAA,6BAIAA,EAAE;AAAA;AAAA,2BAEJA,EAAE;AAAA;AAAA;AAAA,oBAGTA,mBAAmBA,gBAAgBA,EAAE;AAAA,gBACzCA,EAAE,EAAE,IAAIjC,GAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAMLiC,EAAE,mBAAmBA,EAAE;AAAA,qBACxBjC,GAAG;AAAA,yDACiCiC;AAAA,2BAC9BA;AAAA;AAAA,6BAEEA;AAAA;AAAA,2BAEFA;AAAA;AAAA;AAAA;AAAA,qEAI0CA,EAAE;AAAA,2BAC5CA,EAAE;AAAA;AAAA,6BAEAA,EAAE;AAAA;AAAA,2BAEJA,EAAE;AAAA;AAAA;AAAA,oBAGTA;AAAA,2BACOA,gBAAgBA,EAAE;AAAA,gBAC7BA,EAAE,EAAE,IAAIjC,GAAG;AAAA,sBACLiC,EAAE,mBAAmBA,gBAAgBA,EAAE;AAAA,qBACxCA,EAAE,IAAIjC,GAAG;AAAA,+BACCiC;AAAA,2BACJA;AAAA,YACfA,EAAE,EAAE,IAAIjC,GAAG;AAAA,iCACUiC,EAAE;AAAA,6BACNA,EAAE;AAAA,eAChB,CAACjC,GAAG;AAAA;AAAA,IAEfA,GAAG;AAAA;AAAA,MAED,IAAIC,EAAE,GAAGkB,EAAE,GAAG,IAAI3D,EAAEyC,EAAE;AAAA;AAAA,YAEhB;AAAA,WACDjB,EAAEiB,EAAE;AAAA;AAAA,YAEH;AAAA,WACDA,EAAE;AAAA,YACD;AAAA,WACDkB,EAAE,gCAAgC,IAAIC,EAAE/D,EAAE,kCAAkC,GAAGA,GAAG,KAAK,cAAc,KAAK,MAAM,EAAEG,GAAG,KAAK,cAAc,KAAK,wBAAwB,EAAEwB,GAAG,KAAK,cAAc,KAAK,gBAAgB,EAAE,KAAK,SAAS;AAAA,QACrOiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgBhB;AAAA,4BACIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlBe;AAAA;AAAA;AAAA,UAGAoB;AAAA,UACAD;AAAA;AAAA;AAAA,KAGL,CAAC,EAAE,SAASknF,GAAIlrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAEV,EAAEU,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGlE,EAAE,OAAOxQ,EAAE,+BAA+B,EAAE0U,CAAC,EAAE,IAAI,gFAAgF,oBAAoBA,IAAI,EAAE,IAAIC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM,EAAEqC,EAAEX,EAAEE,EAAE,EAAE,EAAEW,EAAEhR,EAAE,EAAE,QAAQ,0BAA0B,GAAG+Q,EAAE,aAAa,GAAGA,EAAE,YAAYA,EAAE,aAAa,EAAEC,EAAE,IAAIqoF,GAAGtoF,CAAC,EAAEC,EAAE,IAAIooF,GAAGroF,CAAC,EAAE,IAAIE,EAAE,CAAC,CAACF,EAAE,QAAQ,IAAIA,EAAE,QAAQ,IAAI,EAAE,CAACA,EAAE,aAAaA,EAAE,WAAW,EAAE,CAACA,EAAE,eAAeA,EAAE,aAAa,EAAE,CAACA,EAAE,SAASA,EAAE,OAAO,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,UAAUwC,CAAC,CAAC,CAAC,IAAIsoF,GAAG,CAAC,WAAWloG,GAAG,YAAY,QAAQ,WAAWioG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAYxqF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,EAAE,KAAK,YAAYA,EAAE,YAAY,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,QAAQ,IAAIiB,EAAEjB,EAAE,QAAQ,KAAKkB,EAAElB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOr3BkB;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKMlB,EAAE;AAAA,kCACEA,EAAE;AAAA,iCACHV,OAAOG;AAAA;AAAA,kCAENO,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIAA,EAAE;AAAA,mCACH,OAAOiB;AAAA;AAAA,oCAENjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYjC,CAAC,EAAEyqF,GAAG,KAAK,CAAC,YAAYzqF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,GAAG,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,aAAaiB,EAAEjB,EAAE,YAAYkB,EAAE5B,EAAE,EAAEU,EAAE,QAAQ,IAAImB,EAAE,EAAE,EAAEnB,EAAE,QAAQ,KAAKoB,EAAEpB,EAAE,YAAYA,EAAE,WAAW,KAAK,SAAS;AAAA,iCAClNkB,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYP7B;AAAA,gDACgBG;AAAA;AAAA,oCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbV;AAAA;AAAA,kCAES;AAAA,kDACgB2B;AAAA;AAAA,sCAEZjB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGSoB;AAAA,8BACNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASzB,CAAC,EAAE,SAASspF,GAAItrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,YAAYS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAMqC,EAAE,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIwoF,GAAGzoF,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIkrF,GAAG,CAAC,WAAWroG,GAAG,YAAY,QAAQ,WAAWooG,EAAG,EAAE,SAASE,GAAIxrF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU0B,EAAE,IAAIC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE3U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEX,EAAEC,EAAEC,EAAE,EAAE,EAAEW,EAAE,IAAIyoF,GAAG1oF,CAAC,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIorF,GAAG,CAAC,WAAWtoG,GAAG,YAAY,QAAQ,WAAWqoG,EAAG,EAAME,GAAG,KAAK,CAAC,YAAY9qF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAACA,EAAEA,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAM3pB,CAAC,EAAE,SAAS+qF,GAAI3rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAEC,EAAE,CAAC,GAAGD,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAE,EAAE5B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAElgF,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE6B,EAAE,IAAI2pF,GAAG,CAAC,EAAE1pF,EAAE9B,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQ9B,EAAE,MAAM,CAAC,MAAMG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B8B,CAAC,EAAEC,CAAC,CAAC,IAAI2pF,IAAG,CAAC,WAAWxoG,GAAG,YAAY,QAAQ,WAAWuoG,EAAG,EAAME,IAAG,KAAK,CAAC,YAAYjrF,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,SAAS,GAAG,CAAC,SAASV,EAAE,QAAQ,EAAE,QAAQG,EAAE,aAAawB,EAAE,YAAYC,EAAE,aAAaC,EAAE,YAAYC,EAAE,eAAe,EAAE,cAAcU,CAAC,EAAE9B,EAAE,CAAC,IAAI,EAAE,KAAKgC,CAAC,EAAEvC,EAAE,KAAK,SAAS;AAAA,oCACxlBwB,MAAMC;AAAA,iCACT,MAAMc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaTb;AAAA,iCACG;AAAA;AAAA,kCAEC7B;AAAA,kCACA8B;AAAA,qCACGU;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgBjC,CAAC,EAAE,SAASopF,IAAI9rF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,IAAI0B,EAAE,UAAUC,CAAC,EAAE5B,EAAE6B,EAAEjU,EAAE,sBAAsBqS,EAAE,MAAM,EAAE,MAAM,EAAE0B,EAAE,OAAOC,CAAC,EAAEU,EAAEC,EAAE,IAAIkpF,IAAG5pF,CAAC,EAAES,EAAExC,EAAE,gBAAgByC,EAAE,CAACtC,EAAE,CAAC,EAAE,SAAS,EAAE,IAAIuC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAM+B,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO/B,EAAE,8BAA8BwC,CAAC,EAAEE,CAAC,CAAC,IAAImpF,IAAG,CAAC,WAAW1oG,GAAG,YAAY,QAAQ,WAAWyoG,GAAG,EAAE,SAASE,IAAIhsF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,SAASK,CAAC,EAAED,EAAE,EAAE,EAAE,CAAC,QAAQ,EAAE,WAAW2B,EAAE,OAAOC,CAAC,EAAEhU,EAAE,qBAAqBqS,EAAE,EAAE,MAAM,EAAErS,EAAE,oBAAoB,EAAE,OAAOgU,EAAE,CAAC,EAAE,GAAG,CAAC,KAAKC,EAAE,MAAMS,CAAC,EAAE1U,EAAE,qBAAqB+T,EAAEC,CAAC,EAAEW,EAAED,EAAE,OAAOE,EAAE,KAAKC,EAAE,EAAE,OAAOC,EAAE,CAAC,EAAE,QAAQkB,EAAE,EAAEA,EAAErB,EAAE,EAAEqB,EAAE,CAAC,QAAQ,KAAKtB,EAAEsB,CAAC,EAAE,CAAC,GAAG,CAAC,mBAAmBsD,EAAE,WAAW,CAAC,EAAEtZ,EAAE,qBAAqB6U,EAAEb,EAAE,CAAC,CAAC,EAAEyC,EAAEzW,EAAE,sBAAsBsZ,CAAC,EAAE7C,EAAE,EAAE,CAAC,GAAGA,EAAE08E,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQjhF,EAAE,MAAM,CAAC,KAAKoH,CAAC,CAAC,CAAC,EAAExE,EAAE,KAAK2B,CAAC,GAAG,IAAIC,EAAED,EAAE,MAAM,MAAM,EAAE,QAAQE,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAED,EAAE,OAAO,EAAEC,CAAC,EAAE,EAAE,CAAC,EAAEnG,EAAE,YAAYiG,EAAE,MAAMC,CAAC,IAAID,EAAE67E,GAAG,CAAC,OAAO,CAAC77E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAE5B,EAAE,KAAK2B,CAAC,GAAG7B,IAAI,KAAKA,EAAE6B,GAAG7B,EAAEu9E,GAAG,CAAC,OAAO,CAAC,EAAE17E,EAAE,EAAE7B,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE4C,EAAE,KAAKF,CAAC,EAAE,CAACoB,EAAErB,EAAE,IAAIV,EAAE+B,CAAC,GAAG,IAAIpB,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,KAAK+B,EAAE+B,CAAC,GAAG,EAAE,OAAOnB,GAAG,SAAS,EAAE,CAAC,CAAC,EAAEC,EAAE,KAAKF,CAAC,GAAGC,IAAI,CAAC,QAAQmB,KAAKlB,EAAEkB,IAAIpB,GAAG1C,EAAE,8BAA8B8D,CAAC,EAAE,OAAOpB,CAAC,CAAC,IAAIqpF,IAAG,CAAC,WAAWvoG,GAAG,YAAY,QAAQ,WAAWsoG,GAAG,EAAME,IAAI,0CAA0CC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1zCC,IAAIxM,GAAG,CAAC,UAAUsM,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1oG,GAAG,YAAY,QAAQ,WAAWyoG,GAAG,EAAME,IAAI,yCAAyCC,IAAI;AAAA;AAAA;AAAA,EAGvJC,IAAIxsF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,GAAGI,EAAE,EAAEC,CAAC,EAAE,EAAE,EAAEzO,EAAE,EAAE,QAAQ,8BAA8B,EAAE,IAAIktF,GAAGyN,IAAInsF,EAAE,MAAMC,EAAE,KAAK,EAAE,IAAIu+E,GAAG0N,IAAIlsF,EAAE,MAAMC,EAAE,KAAK,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,CAAC,EAAED,EAAE,KAAK,CAAC,EAAEqsF,IAAG,CAAC,WAAW7oG,GAAG,YAAY,QAAQ,WAAW4oG,GAAG,EAAME,IAAI;AAAA;AAAA,EAE9PC,IAAI,wBAAwBC,IAAI/M,GAAG,CAAC,UAAU8M,IAAI,gBAAgBD,IAAI,MAAM,OAAO,cAAc9S,EAAE,CAAC,EAAEiT,IAAG,CAAC,WAAW/oG,GAAG,YAAY,QAAQ,WAAW8oG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA,cAIxJ9+F,EAAE;AAAA,eACDA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA,eACFA,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMf++F,IAAInN,GAAG,CAAC,UAAUkN,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWjpG,GAAG,YAAY,QAAQ,WAAWgpG,GAAG,EAAME,IAAItN,GAAG;AAAA;AAAA,EAEzFuN,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASJC,GAAGvN,GAAG,CAAC,UAAUqN,IAAI,gBAAgBC,IAAI,cAAcrT,GAAG,MAAM,SAAS,CAAC,EAAEuT,IAAG,CAAC,WAAWppG,GAAG,YAAY,QAAQ,WAAWmpG,EAAE,EAAE,SAASE,GAAGrtF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,IAAIK,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,MAAM,OAAO6B,EAAE,EAAE,MAAM,MAAM,EAAEC,EAAE3B,EAAE,OAAOA,EAAE,IAAI7B,EAAE,OAAO,EAAE,EAAE,IAAI6B,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAE2B,EAAE,EAAE3B,EAAE,GAAG0B,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAEs+E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQlgF,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIurF,IAAG,CAAC,WAAWrpG,GAAG,YAAY,QAAQ,WAAWopG,EAAE,EAAME,GAAG,uBAAuBC,IAAI5N,GAAG,CAAC,UAAU2N,GAAG,gBAAgBA,GAAG,cAAczT,EAAE,CAAC,EAAE2T,IAAG,CAAC,WAAWvpG,GAAG,YAAY,QAAQ,WAAWspG,GAAG,EAAME,GAAG,KAAK,CAAC,YAAY9sF,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,MAAM,EAAE,IAAIG,EAAEH,EAAE,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI2B,EAAE,EAAE,SAAS,KAAK,KAAK,UAAU,KAAK,KAAKC,EAAE,EAAE,GAAGzB,MAAM,MAAM0B,EAAE,GAAGnB,IAAI,OAAOmB,EAAE,4CAA4CnB,IAAI,OAAOmB,EAAE,wCAAyC,OAAM,IAAI,MAAM,sDAAsDnB,IAAI,EAAE,KAAK,SAAS;AAAA,yCAC75BiB;AAAA;AAAA;AAAA,UAG/BE;AAAA;AAAA;AAAA;AAAA,kDAIwC1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2ByB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAUpD,CAAC,EAAE,SAAS6rF,GAAG3tF,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEF,EAAE,QAAQ,IAAIF,EAAE,MAAM,EAAEK,EAAE7B,EAAE,cAAcwB,EAAE,KAAK,EAAE,EAAEA,EAAE,MAAMA,EAAE,MAAM,OAAO,CAAC,EAAE,EAAEK,EAAE,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE8B,EAAED,EAAE,MAAME,EAAE,IAAIyrF,GAAG,OAAO1rF,EAAE,CAAC,EAAEU,EAAE,IAAIgrF,GAAG,OAAO1rF,EAAE,CAAC,EAAEW,EAAE,CAAC,CAAC,OAAOvC,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,EAAE,CAAC,OAAO5B,EAAE,mBAAmB,KAAK,OAAO,MAAMA,EAAE,mBAAmB,KAAK,MAAM,MAAM4B,CAAC,CAAC,EAAEY,EAAE1C,EAAE,gBAAgB+B,EAAEU,EAAE,SAAS,EAAEE,EAAE3C,EAAE,gBAAgBwC,EAAEC,EAAE,SAAS,EAAEG,EAAEm8E,GAAG,CAAC,OAAO,CAAC,KAAKr8E,EAAE,KAAKC,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAEA,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE,IAAImB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAEx9E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMF,EAAE,KAAK,CAAC,CAAC,EAAE,OAAOE,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B4C,CAAC,EAAEkB,CAAC,CAAC,SAAS4pF,IAAI5tF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAE,OAAOutF,GAAGvtF,EAAE,GAAGF,CAAC,CAAC,CAAC,IAAI2tF,IAAG,CAAC,WAAW1pG,GAAG,YAAY,QAAQ,WAAWypG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYltF,EAAEV,EAAE,CAAC,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYU,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,KAKz+B,CAAC,EAAE,SAASmtF,GAAG/tF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,MAAMC,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAEA,EAAE,GAAG,EAAE,GAAG1B,EAAE,WAAW6B,CAAC,EAAE,IAAI,SAAS,CAAC,IAAI,EAAE7B,EAAE,kBAAkB,EAAEA,EAAE,cAAc4B,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKC,CAAC,EAAE,EAAE,eAAeD,EAAE,EAAE,CAAC,CAAC,KAAK,CAAC,IAAI,EAAE,IAAI0tF,IAAG1tF,EAAEC,CAAC,EAAE0B,EAAE,CAAC,CAAC1B,CAAC,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAAC,EAAE,EAAE0B,CAAC,CAAC,CAAC,CAAC,IAAIisF,IAAG,CAAC,WAAW5pG,GAAG,YAAY,QAAQ,WAAW2pG,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYrtF,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIV,EAAEU,EAAE,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aV;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAOlC,CAAC,EAAMguF,IAAG,CAAC,WAAW7pG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO2b,EAAE,QAAQ,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEF,EAAEI,EAAE,EAAEC,EAAE,IAAI4tF,IAAG/tF,EAAE,KAAK,EAAE,OAAOE,EAAE,gBAAgBC,EAAE,CAACH,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,EAAMiuF,GAAG,mBAAmBC,IAAIxO,GAAG,CAAC,UAAUuO,GAAG,gBAAgBA,GAAG,cAAcpU,EAAE,CAAC,EAAEsU,IAAG,CAAC,WAAW/pG,GAAG,YAAY,QAAQ,WAAW8pG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUtTC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqBJC,IAAI3O,GAAG,CAAC,UAAUyO,IAAI,gBAAgBC,IAAI,MAAM,OAAO,CAAC,EAAEE,IAAG,CAAC,WAAWlqG,GAAG,YAAY,QAAQ,WAAWiqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY9tF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAIV,EAAE0zE,GAAG,EAAE,CAAC,EAAEvzE,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMpKP,QAAQ;AAAA;AAAA,wBAEvCH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrB,CAAC,EAAMyuF,IAAG,KAAK,CAAC,YAAY/tF,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIV,EAAE0zE,GAAG,EAAE,CAAC,EAAEvzE,CAAC,EAAEO,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7HP,QAAQ;AAAA,4BACVH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,EAAE;AAAA;AAAA,KAEP,CAAC,EAAM0uF,IAAG,CAAC,WAAWpqG,GAAG,YAAY,QAAQ,WAAWqqG,GAAG,EAAEC,GAAGC,GAAGn9F,EAAE,EAAE,QAAQ,uCAAuC,EAAE,SAASi9F,IAAI7uF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE,EAAE,OAAO,kBAAkB,aAAaC,aAAa,iBAAiB0B,EAAE,OAAO,kBAAkB,aAAa1B,aAAa,iBAAiB,CAAC2B,EAAEC,CAAC,EAAE,EAAE,CAAC5B,EAAE,WAAWA,EAAE,WAAW,EAAE,CAACA,EAAE,MAAMA,EAAE,MAAM,EAAEqC,EAAE,CAACT,EAAED,CAAC,EAAEW,EAAE,CAACV,EAAED,EAAE,CAAC,EAAE,GAAGD,GAAG,EAAE,CAAC,IAAIiC,EAAEpS,EAAE,EAAE,QAAQ,uCAAuC,GAAGk9F,IAAI,MAAM9qF,IAAI+qF,MAAMA,GAAG/qF,EAAE8qF,GAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,KAAK,CAAC,mBAAmBC,EAAE,CAAC,GAAGD,GAAG,OAAO,MAAM9sF,EAAE8sF,GAAG,OAAO,OAAO7sF,EAAE6sF,GAAG,UAAUzuF,EAAE,EAAE,EAAE2B,EAAEC,CAAC,EAAE5B,EAAEyuF,GAAG,MAAM,CAAC,IAAIlsF,EAAE1C,EAAE,eAAewC,EAAE,OAAO,EAAExC,EAAE,QAAQ,IAAI0C,EAAE,MAAM,EAAE,MAAM4vE,GAAG,OAAOtyE,EAAE,MAAM,yBAAyBA,EAAE,WAAW0C,EAAE,MAAM,EAAEvC,CAAC,EAAE,IAAIwC,EAAEjR,EAAE,EAAE,QAAQ,YAAY,EAAE,IAAI+8F,IAAGhsF,CAAC,EAAE,IAAI+rF,IAAG/rF,CAAC,EAAEG,EAAE5C,EAAE,gBAAgB2C,EAAE,CAACD,CAAC,EAAE,OAAO,EAAE,OAAO1C,EAAE,YAAY0C,EAAE,MAAM,EAAEE,CAAC,CAAC,SAASksF,IAAIhvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,WAAWS,EAAE,UAAUC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE1C,EAAE4D,EAAEhW,EAAE,wBAAwB0U,CAAC,EAAE,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEW,EAAEV,EAAEW,EAAE,GAAGoB,CAAC,EAAEsD,EAAE,EAAE,CAAC,EAAE7C,EAAE,GAAG,KAAKC,EAAE3C,GAAG,KAAK4C,EAAE9B,IAAI,YAAY+B,EAAE,IAAI,CAAC,IAAIG,EAAE,CAAC1E,EAAE,CAAC,EAAEkH,EAAE,CAACvC,EAAEC,IAAI,CAAC,GAAGA,IAAI,QAAQD,EAAE,MAAM,SAAS,GAAGA,EAAE,MAAM,CAAC,IAAI,EAAE,CAAC,IAAIE,EAAEo7E,GAAG,CAAC,OAAO,CAAC,EAAEt7E,CAAC,EAAE,QAAQ9E,EAAE,MAAM,CAAC,MAAM,CAAC8E,EAAE,MAAM,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKE,CAAC,EAAEA,CAAC,CAAC,OAAOF,CAAC,EAAE,GAAGP,GAAGM,EAAE,KAAKwC,EAAE,EAAE7E,CAAC,CAAC,EAAEgC,GAAGK,EAAE,KAAKwC,EAAExF,EAAEW,CAAC,CAAC,EAAEiC,EAAE,CAAC,IAAIK,EAAE9E,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkBsE,EAAE,SAAS,CAAC,EAAEiC,EAAE,KAAKC,CAAC,EAAE,EAAE,KAAKA,CAAC,CAAC,CAAC,OAAOD,CAAC,EAAE,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,GAAG,EAAE,iBAAiB,GAAG,EAAE,gBAAgB,GAAG,EAAE,eAAe,GAAG,EAAE,cAAc,IAAI,EAAE,QAAQ,OAAO,QAAQ,EAAE,QAAQ,OAAO,SAASuC,EAAEihF,GAAG,CAAC,EAAEloF,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQH,EAAE,KAAK,EAAE,WAAW2C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,UAAU,EAAE,aAAa,GAAGkB,IAAI,gBAAgBpS,EAAE,EAAE,QAAQ,gBAAgB,EAAE,CAAC,IAAImT,EAAElC,EAAEi9E,GAAGj9E,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI6gF,GAAG,EAAE3jF,EAAEM,EAAEL,EAAEC,CAAC,EAAEK,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEC,EAAEL,EAAE,EAAE0C,EAAEpH,EAAE,gBAAgBqH,EAAEtC,EAAE,UAAUD,CAAC,CAAC,SAASpT,EAAE,EAAE,QAAQ,mBAAmB,EAAE0V,EAAEkhF,GAAG,CAAC,EAAEnoF,EAAE,OAAO,EAAE,SAAS,EAAE,QAAQH,EAAE,KAAK,EAAE,WAAW2C,EAAE,uBAAuBd,EAAE,eAAee,CAAC,CAAC,MAAM,CAAC,IAAIiC,EAAElC,EAAEi9E,GAAGj9E,EAAE,EAAE,EAAE,KAAK0E,EAAE,IAAI2gF,GAAG,EAAEzjF,EAAEM,EAAEL,EAAEC,CAAC,EAAEK,EAAEJ,EAAE,EAAE0C,EAAEpH,EAAE,gBAAgBqH,EAAEvC,EAAE,SAAS,CAAC,CAAC,IAAIH,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,EAAE,QAAQ,CAAC,CAAC,EAAE,OAAO,EAAE,KAAKoH,CAAC,EAAE,EAAE,QAAQvC,GAAG7E,EAAE,8BAA8B6E,CAAC,CAAC,EAAEF,CAAC,CAAC,IAAIoqF,IAAG,CAAC,WAAWvqG,GAAG,YAAY,QAAQ,WAAWsqG,GAAG,EAAE,SAASE,IAAIlvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAEzC,EAAE0C,EAAE,CAAC,EAAEkB,EAAEtB,EAAEsB,GAAG,OAAOA,EAAE,CAAC,EAAE,CAAC,GAAGxF,EAAE,OAAOxQ,EAAE,+BAA+BgU,EAAEgC,CAAC,EAAE,IAAI,gFAAgFhC,oBAAoBgC,IAAI,EAAE,IAAI,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEgC,EAAE/B,EAAEU,EAAE,EAAE,EAAE2E,EAAE1V,EAAE,EAAE,QAAQ,0BAA0B,GAAG,EAAE,aAAa,GAAG,EAAE,YAAY,EAAE,aAAa,EAAE,EAAEgR,EAAEk9E,GAAGl9E,EAAE0E,CAAC,EAAE,KAAK7C,EAAE,CAACpE,EAAE,CAAC,EAAEqE,EAAE,GAAG,KAAKC,EAAE5C,GAAG,KAAK6C,EAAEhC,IAAI,YAAY,GAAG8B,GAAGD,EAAE,KAAK,CAAC,EAAEE,GAAGF,EAAE,KAAK1C,CAAC,EAAE6C,EAAE,CAAC,IAAII,EAAE9E,EAAE,eAAe,CAAC,EAAE,UAAU1B,EAAE,kBAAkBqE,EAAE,SAAS,CAAC,EAAE4B,EAAE,KAAKO,CAAC,EAAElC,EAAE,KAAKkC,CAAC,CAAC,CAAC,IAAIH,EAAEyC,EAAEzC,EAAE,IAAIomF,GAAG,EAAEvmF,EAAE,EAAEC,EAAEC,CAAC,EAAEC,EAAE,IAAImmF,GAAG,EAAEtmF,EAAE,EAAEC,EAAEC,CAAC,EAAE,IAAIG,EAAE,CAAC,CAAC,EAAE,QAAQ,IAAI,EAAE,QAAQ,IAAI,EAAE,CAAC,EAAE,aAAa,EAAE,WAAW,EAAE,CAAC,EAAE,eAAe,EAAE,aAAa,EAAE,CAAC,EAAE,SAAS,EAAE,OAAO,CAAC,EAAEwC,EAAErH,EAAE,gBAAgB2E,EAAEJ,EAAE,UAAUM,CAAC,EAAE,OAAOjC,EAAE,QAAQkC,GAAG9E,EAAE,8BAA8B8E,CAAC,CAAC,EAAEuC,CAAC,CAAC,IAAI4nF,IAAG,CAAC,WAAWxqG,GAAG,YAAY,QAAQ,WAAWuqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYxuF,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,SAASO,EAAE,KAAK,QAAQV,EAAE,KAAK,YAAYG,EAAE,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAY,EAAE,IAAIwB,EAAEo1E,GAAG,EAAE,MAAM,EAAEn1E,EAAE;AAAA,gBACznH,QAAQC,EAAE,EAAEA,EAAE,KAAK,SAASA,IAAID,GAAG;AAAA,gDACHC;AAAA;AAAA,sDAEM,KAAK,YAAYA,CAAC;AAAA,oCACpC,KAAK,QAAQA,CAAC,KAAK,KAAK,SAAS;AAAA;AAAA,YAEzDF;AAAA;AAAA;AAAA;AAAA,YAIAC;AAAA;AAAA;AAAA;AAAA,OAIL,CAAC,EAAE,SAASutF,IAAIrvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAE,EAAE,EAAEA,EAAE,MAAM,EAAE,EAAE,EAAE,OAAO,CAAC,EAAE0B,EAAEvD,EAAE,cAAc4B,EAAE,KAAK,EAAE,CAAC4B,EAAEC,EAAES,EAAEC,CAAC,EAAE3U,EAAE,mBAAmBoS,EAAEC,CAAC,EAAEuC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAElgF,CAAC,EAAE,QAAQF,EAAE,MAAM,CAAC,MAAM,CAAC1B,EAAE,cAAc4B,EAAE,KAAK,EAAEsC,EAAEA,CAAC,CAAC,CAAC,CAAC,EAAE,GAAGxC,EAAE,mBAAmB,CAACE,EAAEC,CAAC,CAAC,GAAGD,EAAE,QAAQ,SAAS,CAAC,IAAIkH,EAAEpH,EAAE,SAASG,EAAE,MAAM,EAAE,EAAEH,EAAE,WAAWE,CAAC,EAAEqE,EAAEu1E,GAAG1yE,EAAE,EAAElH,EAAE,MAAM6B,EAAE,EAAES,EAAEC,EAAEvC,EAAE,MAAM2B,CAAC,EAAE,OAAO7B,EAAE,eAAe8B,EAAE5B,EAAE,MAAMqE,EAAE,MAAM,CAAC,CAAC,IAAI3B,EAAE,IAAIssF,IAAG,EAAEzsF,EAAE,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAE4D,EAAE9D,EAAE,gBAAgB4C,EAAE,CAACD,EAAED,CAAC,EAAEC,EAAE,KAAK,EAAE,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIsrF,IAAG,CAAC,WAAWzqG,GAAG,YAAY,QAAQ,WAAWwqG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY3uF,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,YAAYA,EAAE,KAAK,KAAKA,EAAE,OAAO,IAAI,EAAE+2E,GAAG,KAAK,IAAI,EAAE52E,EAAEmvF,IAAI5uF,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE93B;AAAA;AAAA,oDAE0CA,EAAE,CAAC;AAAA,oCACnBP;AAAA;AAAA,KAE/B,CAAC,EAAE,SAASmvF,IAAIxvF,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAIA,IAAI,EAAED,EAAE,KAAK,OAAO,EAAEA,EAAE,KAAK,GAAGF,EAAEG,CAAC,GAAG,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAASqvF,GAAGzvF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU0B,CAAC,EAAE3B,EAAE4B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE,GAAGzO,EAAE,EAAE,IAAI,OAAO,EAAE,CAAC,IAAI,EAAEsO,EAAE,SAAS,EAAE,MAAM,EAAEuE,EAAEpE,EAAE,MAAM2B,CAAC,EAAE,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAO,EAAEA,EAAE,CAAC,IAAIC,EAAE,EAAED,CAAC,EAAElG,EAAE,OAAOmG,GAAGF,EAAE,GAAGE,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBF,EAAE,IAAI,CAAC,CAAC,CAAC,IAAIxC,EAAEjU,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAED,CAAC,EAAEW,EAAElE,EAAE,cAAc,EAAE,KAAK,EAAEmE,EAAE,CAAC,EAAEC,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC+B,EAAE,UAAUS,EAAET,EAAE,SAAS,CAAC,CAAC,CAAC,EAAEU,EAAE,KAAKC,CAAC,EAAED,EAAE,KAAKE,CAAC,EAAE,IAAIC,EAAE,CAACb,EAAE,UAAUA,EAAE,UAAUS,EAAET,EAAE,UAAUA,EAAE,SAAS,EAAE,GAAG/B,EAAE,mBAAmB,CAACG,EAAE,CAAC,CAAC,GAAGA,EAAE,QAAQ,SAAS,CAAC,IAAI,EAAEH,EAAE,WAAW2C,CAAC,EAAE4B,EAAEvE,EAAE,WAAW0C,CAAC,EAAE8B,EAAEu1E,GAAGx1E,EAAE,EAAE3B,CAAC,EAAE,OAAOH,EAAE,QAAQgC,GAAGzE,EAAE,8BAA8ByE,CAAC,CAAC,EAAEzE,EAAE,eAAe+B,EAAE,YAAYyC,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAIV,EAAE,IAAIurF,IAAG3sF,EAAE,MAAME,CAAC,EAAE,EAAE5C,EAAE,gBAAgB8D,EAAE,CAACpB,EAAEC,CAAC,EAAED,EAAE,KAAK,EAAED,EAAE,KAAK,CAAC,EAAE,IAAI2E,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM+B,EAAE,WAAW,CAAC,CAAC,EAAE,OAAOU,EAAE,QAAQ,GAAGzC,EAAE,8BAA8B,CAAC,CAAC,EAAEoH,CAAC,CAAC,IAAIooF,IAAG,CAAC,WAAW5qG,GAAG,YAAY,QAAQ,WAAW2qG,EAAE,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1wCC,IAAIhQ,GAAG,CAAC,UAAU8P,IAAI,gBAAgBC,IAAI,cAAc1V,GAAG,MAAM,MAAM,CAAC,EAAE4V,IAAG,CAAC,WAAW9qG,GAAG,YAAY,QAAQ,WAAW6qG,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIpQ,GAAG,CAAC,UAAUkQ,IAAI,gBAAgBC,IAAI,MAAM,OAAO,cAAc7V,EAAE,CAAC,EAAE+V,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAE,SAASE,IAAInwF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAE,OAAOutF,GAAGvtF,EAAE,GAAGF,CAAC,CAAC,CAAC,IAAIkwF,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAME,IAAI,wCAAwCC,IAAI1Q,GAAG,CAAC,UAAUyQ,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWhrG,GAAG,YAAY,QAAQ,WAAW+qG,GAAG,EAAME,IAAI,0BAA0BC,IAAI7Q,GAAG,CAAC,UAAU4Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWlrG,GAAG,YAAY,QAAQ,WAAWirG,GAAG,EAAME,IAAI,0BAA0BC,IAAIhR,GAAG,CAAC,UAAU+Q,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWprG,GAAG,YAAY,QAAQ,WAAWmrG,GAAG,EAAME,IAAI,uBAAuBC,IAAI;AAAA;AAAA,EAE1qBC,IAAInR,GAAG,CAAC,UAAUiR,IAAI,gBAAgBC,IAAI,cAAc3W,GAAG,MAAM,MAAM,CAAC,EAAE6W,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,GAAG,EAAME,IAAI,wBAAwBC,IAAI;AAAA;AAAA,EAEpKC,IAAIvR,GAAG,CAAC,UAAUqR,IAAI,gBAAgBC,IAAI,cAAc9W,GAAG,MAAM,MAAM,CAAC,EAAEgX,IAAG,CAAC,WAAWprG,GAAG,YAAY,QAAQ,WAAWmrG,GAAG,EAAE,SAASE,IAAItxF,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,IAAI,CAAC,EAAEH,EAAE,EAAEo6E,GAAGl6E,EAAEC,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,UAAU,CAAC,CAAC,CAAC,IAAIkxF,IAAG,CAAC,WAAWrrG,GAAG,YAAY,QAAQ,WAAWorG,GAAG,EAAME,IAAI7R,GAAG;AAAA;AAAA,EAEnU8R,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQJC,IAAI9R,GAAG,CAAC,UAAU4R,IAAI,gBAAgBC,IAAI,cAAclX,EAAE,CAAC,EAAEoX,IAAG,CAAC,WAAWxrG,GAAG,YAAY,QAAQ,WAAWurG,GAAG,EAAME,IAAIjS,GAAG;AAAA;AAAA,EAE9HkS,IAAIjS,GAAG,CAAC,UAAUgS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1rG,GAAG,YAAY,QAAQ,WAAWyrG,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA,EAIhIC,IAAIpS,GAAG,CAAC,UAAUkS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAW5rG,GAAG,YAAY,QAAQ,WAAW2rG,GAAG,EAAME,IAAI,6BAA6BC,IAAIxS,GAAG,CAAC,UAAUuS,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW9rG,GAAG,YAAY,QAAQ,WAAW6rG,GAAG,EAAME,IAAI,sCAAsCC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpRC,IAAI3S,GAAG,CAAC,UAAUyS,IAAI,gBAAgBC,IAAI,MAAM,MAAM,CAAC,EAAEE,IAAG,CAAC,WAAWjsG,GAAG,YAAY,QAAQ,WAAWgsG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY9xF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,IAAIC,EAAE5B,EAAE6B,EAAEnB,EAAE,CAAC,EAAE,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAS3VC,WAAWA;AAAA;AAAA,oCAECC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKVC;AAAA;AAAA;AAAA,KAGrB,CAAC,EAAM2wF,IAAG,KAAK,CAAC,YAAY/xF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAIC,EAAE5B,EAAE6B,EAAEnB,EAAE,CAAC,EAAE,EAAE,KAAK,YAAYA,EAAE,IAAIoB,EAAE,EAAE,SAAS,cAAc3B,WAAWwB,IAAI,GAAGG,EAAE,eAAe,KAAKH,IAAI,EAAEG,EAAE,QAAQ,KAAKA,EAAE,WAAW,eAAeH,OAAO,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY,CAAC;AAAA,gCAClB,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAejBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWRA,WAAWA;AAAA;AAAA;AAAA,6DAGyBC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnBC;AAAA;AAAA;AAAA,KAGrC,CAAC,EAAM4wF,IAAI5yF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,YAAY,EAAE,KAAK,EAAE,MAAM0B,EAAE,KAAKC,CAAC,EAAE5B,EAAE6B,EAAErQ,EAAE,EAAE,QAAQ,0BAA0B,EAAE,IAAI+gG,IAAGtyF,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,IAAI0wF,IAAGryF,EAAE,MAAM,EAAE,EAAE0B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB+B,EAAE,CAAC5B,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAEwyF,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAWitG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYlyF,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,aAAa,cAAc,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYjB,EAAE,KAAK,MAAMA,EAAE,CAAC,EAAE,KAAK,YAAYV,EAAE,KAAK,KAAK,EAAE,KAAK,MAAMG,EAAE,KAAK,KAAKwB,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQvd,KAAK;AAAA,oDACiB3B;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelBG,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOLA;AAAA,0BACfwB;AAAA;AAAA;AAAA;AAAA,0CAIgBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAcrC,CAAC,EAAMkxF,IAAI/yF,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,YAAY0B,EAAE,KAAKC,EAAE,MAAMC,EAAE,KAAKS,CAAC,EAAEtC,EAAEuC,EAAE,IAAImwF,IAAGzyF,EAAE,MAAM0B,EAAEC,EAAEC,EAAES,CAAC,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,EAAE,EAAE,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE2yF,IAAG,CAAC,WAAWptG,GAAG,YAAY,QAAQ,WAAWmtG,GAAG,EAAE,SAASE,IAAGjzF,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,cAAc,CAAC,EAAEsD,EAAEtD,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE2+E,GAAG5+E,EAAE/B,EAAE,MAAM,MAAMI,CAAC,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,MAAM,CAAC,MAAM9B,CAAC,EAAE,QAAQE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,SAASkxF,GAAGlzF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,iBAAiB,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE1C,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAEwC,EAAExC,EAAE,GAAGsC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI6B,EAAEvE,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM3C,CAAC,EAAE,QAAQ8C,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,CAAC,EAAExE,EAAE,MAAMqC,EAAEmC,CAAC,CAAC,EAAE,IAAIF,EAAEw3E,GAAG13E,EAAEpE,EAAE,MAAMA,EAAE,MAAMqC,EAAEgC,CAAC,EAAE7B,EAAE3C,EAAE,eAAewE,EAAErE,EAAE,KAAK,EAAE,IAAIuE,EAAE1E,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAEk+E,GAAG1gF,EAAEqC,EAAExC,CAAC,EAAE+B,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,CAAC,CAAC/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACe,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0B6U,EAAE,MAAMZ,CAAC,EAAE,EAAEa,EAAE,IAAI,EAAE9U,EAAE,qBAAqB8U,EAAEd,CAAC,GAAG,IAAIsF,EAAE,GAAG1E,EAAE,CAAC,IAAI6B,EAAEvE,EAAE,QAAQ,IAAI2C,EAAE,MAAM,EAAE,OAAO6B,EAAE81E,GAAG/1E,EAAEjG,EAAE,cAAcwF,CAAC,EAAE,EAAE3D,EAAE,KAAK,EAAEiH,EAAEpH,EAAE,eAAe,EAAEG,EAAE,KAAK,EAAE,IAAIsE,EAAEzE,EAAE,QAAQ,IAAIoH,EAAE,MAAM,EAAE3C,EAAE,OAAOD,CAAC,MAAM4C,EAAE2rF,IAAGpwF,EAAEmB,EAAE,EAAE9D,CAAC,EAAE,OAAOyC,GAAGzC,EAAE,8BAA8B2C,CAAC,EAAEyE,CAAC,CAAC,IAAI6rF,IAAG,CAAC,WAAWvsG,GAAG,YAAY,QAAQ,WAAWssG,EAAE,EAAME,IAAIzU,GAAG;AAAA;AAAA,EAE33C0U,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKFxU,GAAG;AAAA;AAAA,EAELyU,IAAIzT,GAAG,CAAC,UAAUuT,IAAI,gBAAgBC,IAAI,cAAc5Y,EAAE,CAAC,EAAE8Y,IAAG,CAAC,WAAWrsG,GAAG,YAAY,QAAQ,WAAWosG,GAAG,EAAE,SAASE,IAAIxzF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAEkvE,GAAGlvE,EAAE,SAAS,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,gBAAgBC,CAAC,EAAE5B,EAAE6B,EAAE,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAE4B,EAAEF,EAAEC,CAAC,EAAE,GAAGU,EAAE,cAAc,GAAGA,EAAE,eAAe,GAAGlE,EAAE,YAAYkE,EAAE,QAAQA,EAAE,QAAQ,EAAE,OAAOq8E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAIyC,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOxC,EAAE,gBAAgByC,EAAE,CAACtC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIozF,IAAG,CAAC,WAAW5sG,GAAG,YAAY,QAAQ,WAAW2sG,GAAG,EAAE,SAASE,IAAI1zF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,QAAQ,EAAE,IAAI0B,EAAE,WAAWC,EAAE,gBAAgBC,CAAC,EAAE7B,EAAEsC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE3U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,EAAEqC,EAAEX,EAAEE,EAAED,CAAC,EAAEY,EAAE,IAAI2hF,GAAG5hF,EAAE,MAAM,EAAE,EAAE,OAAOzC,EAAE,gBAAgB0C,EAAE,CAACvC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIszF,IAAG,CAAC,WAAW7sG,GAAG,YAAY,QAAQ,WAAW4sG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYhzF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,aAAa,EAAEA,EAAE,YAAYP,EAAEO,EAAE,eAAeiB,EAAEjB,EAAE,sBAAsBkB,EAAElB,EAAE,qBAAqBmB,EAAEF,EAAE,EAAEjB,EAAE,QAAQ,IAAIoB,EAAEF,EAAE,EAAElB,EAAE,QAAQ,KAAK,EAAEiB,EAAEC,EAAE,EAAE,KAAK,SAAS;AAAA,iCACjrCC,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcPH;AAAA,kBACdxB;AAAA,gDAC8BH;AAAA;AAAA,oCAEZU,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJkB;AAAA,kDACgB;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIKkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAQhC,CAAC,EAAE+xF,IAAG,KAAK,CAAC,YAAYjzF,EAAE,CAAC,KAAK,cAAc,CAAC,KAAK,QAAQ,EAAE,KAAK,YAAYA,EAAE,QAAQ,IAAIV,EAAEU,EAAE,YAAY,EAAEA,EAAE,aAAaP,EAAEO,EAAE,YAAYiB,EAAEjB,EAAE,cAAckB,EAAElB,EAAE,eAAemB,EAAEnB,EAAE,cAAcoB,EAAEpB,EAAE,qBAAqB,EAAEA,EAAE,sBAAsB8B,EAAE9B,EAAE,qBAAqB,EAAEoB,EAAE,EAAEpB,EAAE,QAAQ,MAAMgC,EAAE,EAAE,EAAEhC,EAAE,QAAQ,IAAIiC,EAAEH,EAAE,EAAE9B,EAAE,QAAQ,KAAKkC,EAAEd,EAAE,EAAEU,EAAE,EAAE,KAAK,SAAS;AAAA,iCAC5U,MAAME,MAAMC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBbb;AAAA,mBACbH;AAAA,gDAC6B3B;AAAA;AAAA,oCAEZU,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZkB;AAAA,kDAC4B;AAAA;AAAA,sCAEZlB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ8B;AAAA,wBACZX;AAAA,oDAC4B1B;AAAA;AAAA,wCAEZO,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAORkC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAOJ;AAAA,yBACPA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KASpB,CAAC,EAAE,SAASoxF,IAAI9zF,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,WAAW0B,EAAE,QAAQC,EAAE,IAAIC,EAAE,gBAAgBS,CAAC,EAAEtC,EAAEuC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE5U,EAAE,kBAAkB,EAAE,MAAM+T,EAAEC,EAAEW,EAAEV,EAAES,CAAC,EAAEG,EAAE,IAAI0hF,GAAG3hF,EAAE,MAAM,EAAE,EAAEE,EAAE5C,EAAE,gBAAgB2C,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,EAAEmB,EAAE,IAAI6vF,IAAGjxF,CAAC,EAAE,EAAE1C,EAAE,gBAAgB8D,EAAE,CAAC3D,EAAEyC,CAAC,EAAE,EAAE,KAAK,EAAE,OAAO5C,EAAE,8BAA8B4C,CAAC,EAAE,CAAC,CAAC,IAAIixF,IAAG,CAAC,WAAWhtG,GAAG,YAAY,QAAQ,WAAW+sG,GAAG,EAAE,SAASE,IAAIh0F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE,EAAEwtE,GAAG,CAAC,EAAE,CAAC,EAAE,aAAa,EAAE,GAAG,CAAC,WAAWvtE,EAAE,QAAQC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEvC,EAAEwC,EAAE5U,EAAE,kBAAkB+T,EAAE,MAAMC,EAAEC,EAAE,EAAES,EAAEC,CAAC,EAAEE,EAAE,GAAGC,EAAE,IAAIwhF,GAAG1hF,EAAE,MAAMC,CAAC,EAAEmB,EAAE9D,EAAE,gBAAgB4C,EAAE,CAACf,CAAC,EAAEA,EAAE,KAAK,EAAE,EAAE,IAAI6xF,IAAGhxF,CAAC,EAAE0E,EAAEpH,EAAE,gBAAgB,EAAE,CAACG,EAAE2D,CAAC,EAAEjC,EAAE,KAAK,EAAE,OAAO7B,EAAE,8BAA8B8D,CAAC,EAAEsD,CAAC,CAAC,IAAI2sF,IAAG,CAAC,WAAWjtG,GAAG,YAAY,QAAQ,WAAWgtG,GAAG,EAAE,SAASE,IAAGl0F,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE,IAAIikF,GAAGpkF,EAAE,MAAM,EAAE,EAAE,EAAEE,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAE,SAAS,EAAEK,EAAE,IAAIikF,GAAGpkF,EAAE,MAAM,GAAG,GAAG,CAAC,EAAE,IAAI,EAAEE,EAAE,gBAAgBC,EAAE,CAACL,CAAC,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIm0F,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO+Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,WAAWK,EAAE,QAAQ,EAAE,IAAI,EAAE,oBAAoB0B,CAAC,EAAE,EAAEC,EAAE9B,EAAE1B,EAAE,OAAO4B,EAAE,MAAM,SAAS,EAAE,IAAI,uDAAuDA,EAAE,MAAM,SAAS,EAAE,IAAI6B,EAAE,CAAC,EAAE,CAAC,EAAEzD,EAAE,OAAOxQ,EAAE,+BAA+B,EAAEiU,CAAC,EAAE,IAAI,wEAAwE,oBAAoBA,IAAI,EAAE,IAAIS,EAAE1U,EAAE,kBAAkBoS,EAAE,MAAMC,EAAE,EAAE4B,EAAE,CAAC,EAAE,CAACU,EAAEC,CAAC,EAAEsxF,IAAG9zF,EAAE2B,EAAEW,EAAEV,CAAC,EAAE,MAAM,CAACW,EAAEC,CAAC,CAAC,CAAC,EAAE,SAASwxF,IAAGp0F,EAAE,EAAEE,EAAEE,EAAE,CAAC,IAAIC,EAAE7B,EAAE,cAAc,CAAC,EAAEsD,EAAEtD,EAAE,cAAcwB,EAAE,KAAK,EAAEK,EAAE0B,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAEtgF,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEzB,CAAC,CAAC,EAAE,QAAQD,CAAC,CAAC,EAAE4B,EAAE2+E,GAAG5+E,EAAE,UAAU,OAAO3B,CAAC,EAAE,EAAEkgF,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,MAAM,CAAC,MAAM9B,CAAC,EAAE,QAAQE,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2B,CAAC,EAAE3B,EAAE,8BAA8B4B,CAAC,EAAE,CAAC,CAAC,IAAIqyF,IAAG,CAAC,WAAWltG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAO6Y,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,SAASK,EAAE,KAAK,CAAC,EAAE,EAAE,EAAEH,EAAE6B,EAAE3B,EAAE,MAAM,OAAO4B,EAAExD,EAAE,eAAe,EAAE4B,EAAE,KAAK,EAAE6B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAED,GAAG,KAAKE,EAAE,EAAE,mBAAmB,CAACxC,CAAC,CAAC,EAAEyC,EAAE,CAAC,EAAEC,EAAE1C,EAAE,GAAGuC,EAAE,CAAC,GAAGC,EAAE,CAAC,IAAI8B,EAAE,EAAE,QAAQ,IAAI5B,EAAE,MAAM,EAAE,OAAO6B,EAAE,IAAI,MAAM5C,CAAC,EAAE,QAAQgD,EAAE,EAAEA,EAAEJ,EAAE,OAAOI,IAAIJ,EAAEI,CAAC,EAAE3E,EAAE,MAAMsC,EAAEqC,CAAC,CAAC,EAAE,IAAIH,EAAEu3E,GAAGz3E,EAAEtE,EAAE,MAAMA,EAAE,MAAMsC,EAAEiC,CAAC,EAAE7B,EAAE,EAAE,eAAe6B,EAAEvE,EAAE,KAAK,EAAE,IAAIyE,EAAE,EAAE,QAAQ,IAAI/B,EAAE,MAAM,EAAE+B,EAAE,OAAOD,CAAC,MAAM9B,EAAEi+E,GAAG3gF,EAAEsC,EAAE,CAAC,EAAEG,EAAE,KAAKC,CAAC,EAAEb,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAOF,CAAC,CAAC,CAAC/T,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACiC,EAAE,CAAC,EAAEhW,EAAE,0BAA0B8U,EAAE,MAAMb,CAAC,EAAEqF,EAAEtD,EAAE3D,IAAIiH,EAAEtZ,EAAE,qBAAqBgW,EAAEhC,CAAC,GAAG,IAAI,EAAEoyF,IAAGtxF,EAAE,EAAEwE,EAAE,CAAC,EAAE,QAAQ7C,KAAK5B,EAAE,EAAE,8BAA8B4B,CAAC,EAAE,OAAO,CAAC,CAAC,EAAE,SAAS6vF,IAAIt0F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE4B,EAAED,EAAEU,EAAE1U,EAAE,mBAAmBiU,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAET,EAAEjU,EAAE,iBAAiBiU,EAAE,OAAO5B,EAAE,MAAM,MAAM,GAAGrS,EAAE,2BAA2B,MAAMiU,EAAEF,CAAC,EAAE,GAAG,CAACa,EAAEC,CAAC,EAAE7U,EAAE,0BAA0B2U,EAAE,MAAMV,CAAC,EAAEa,EAAEtE,EAAE,cAAcqE,CAAC,EAAEmB,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG4C,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE69E,GAAG38E,EAAEA,EAAE,MAAM,MAAM9D,CAAC,EAAEoH,EAAE,GAAG,EAAE,CAAC,IAAI,EAAEtZ,EAAE,qBAAqB4U,EAAEZ,CAAC,EAAEsF,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,MAAMoH,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,8BAA8B8D,CAAC,EAAE9D,EAAE,8BAA8B,CAAC,EAAEwC,GAAG,MAAMxC,EAAE,8BAA8ByC,CAAC,EAAE2E,CAAC,CAAC,IAAIitF,IAAG,CAAC,WAAWntG,GAAG,YAAY,QAAQ,WAAWktG,GAAG,EAAME,IAAI7V,GAAG;AAAA;AAAA,EAE/qG8V,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,IAKF5V,GAAG;AAAA;AAAA,EAEL6V,IAAI7U,GAAG,CAAC,UAAU2U,IAAI,gBAAgBC,IAAI,cAAc/Z,EAAE,CAAC,EAAEia,IAAG,CAAC,WAAWttG,GAAG,YAAY,QAAQ,WAAWqtG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYh0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAI,CAACwC,EAAE,IAAIA,EAAE,CAAC,EAAE9B,EAAE,CAAC,EAAE8B,EAAE,CAAC,CAAC,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAIwC,GAAGA,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEX,EAAE7B,EAAE,IAAI,CAACwC,EAAE,IAAIA,EAAE,CAAC,EAAE9B,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEoB,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,EAAE,IAAI,UAAU,EAAE,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBACvYyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA,QAIpC,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA,8BACoBxB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3CwB;AAAA,yBACeG;AAAA;AAAA,KAEpB,CAAC,EAAM6yF,IAAG,KAAK,CAAC,YAAYj0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAYA,EAAE,IAAI,CAAC4C,EAAEkB,IAAIlB,EAAE,CAAC,EAAElC,EAAEoD,CAAC,EAAElB,EAAE,CAAC,CAAC,EAAE,IAAIzC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI4C,GAAGA,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEf,EAAE7B,EAAE,IAAI,CAAC4C,EAAEkB,IAAIlB,EAAE,CAAC,EAAElC,EAAEoD,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEhC,EAAEs6E,GAAG,KAAKj8E,CAAC,EAAE,EAAEi8E,GAAG,SAASj8E,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,CAAC,OAAO,KAAK,YAAYA,EAAE,CAAC,IAAI,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,GAAG,GAAGxC,IAAI,EAAE,CAAC,IAAIyC,EAAE;AAAA,UACpYjB;AAAA;AAAA,0CAEgCe;AAAA;AAAA,8CAEIA;AAAA;AAAA;AAAA,QAGtCC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE,CAAC;AAAA,aACFqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA,OAE/C,KAAK,CAAC,IAAIA,EAAE;AAAA,UACTjB;AAAA,UACAA,UAAUA;AAAA,UACVA,WAAWA;AAAA,UACXA;AAAA;AAAA,6CAEmCe;AAAA,kDACKA;AAAA;AAAA,QAE1CC,EAAE;AAAA,UACAhB;AAAA,UACAiB;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1Cd,EAAE3B,EAAE,CAAC;AAAA,aACFqC;AAAA,YACDI;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5Cd,EAAE3B,EAAE,CAAC;AAAA,aACF2B,EAAE3B,EAAE,CAAC,OAAO,KAAK,YAAYA,EAAE,CAAC;AAAA,YACjCyC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1Cd,EAAE3B,EAAE,CAAC;AAAA,eACFqC;AAAA,cACDI;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,OAGjD,CAAC,KAAK,SAAS;AAAA,cACRjB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAgB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAMiyF,IAAI,CAAC,CAAC,OAAO90F,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,SAASK,EAAE,KAAK,CAAC,EAAEH,EAAE,EAAEtO,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIijG,IAAGz0F,EAAE,MAAMC,EAAE,CAAC,EAAE,IAAIu0F,IAAGx0F,EAAE,MAAMC,EAAE,CAAC,EAAE,OAAO,EAAE,gBAAgB,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,EAAE20F,IAAG,CAAC,WAAWztG,GAAG,YAAY,QAAQ,WAAWwtG,GAAG,EAAME,IAAI;AAAA,qBACzPC,IAAI;AAAA;AAAA;AAAA,IAGrBpW,GAAG;AAAA;AAAA,EAELqW,IAAIrV,GAAG,CAAC,UAAUmV,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW5tG,GAAG,YAAY,QAAQ,WAAW2tG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYx0F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,OAAO,KAAK,OAAO,CAAC,EAAE,KAAK,YAAY,CAACU,EAAE,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQzNV,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,EAAE;AAAA;AAAA,KAEvB,CAAC,EAAMm1F,IAAI;AAAA;AAAA;AAAA;AAAA,eAIDC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBjBC,GAAG1V,GAAG,CAAC,UAAUwV,IAAI,gBAAgBC,IAAI,iBAAiB,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWrsG,GAAG,YAAY,QAAQ,WAAWosG,EAAE,EAAME,GAAG,gBAAgBC,GAAG7V,GAAG,CAAC,UAAU4V,GAAG,gBAAgBA,GAAG,gBAAgB,GAAG,cAAczZ,EAAE,CAAC,EAAE2Z,IAAG,CAAC,WAAW9pG,GAAG,YAAY,QAAQ,WAAW6pG,EAAE,EAAE,SAASE,GAAG51F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,CAAC,CAAC,EAAE6B,EAAE,KAAK,EAAE0B,EAAEmxF,GAAG,CAAC,OAAO,CAAC,EAAE7yF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,iBAAiB,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE8B,EAAEhU,EAAE,qBAAqB+T,EAAE,MAAM,CAAC,EAAEE,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEv+E,CAAC,EAAE,QAAQ7B,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEU,EAAEgzF,GAAG,CAAC,OAAO,CAAC,EAAEr1F,EAAE,EAAE4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,EAAEyC,EAAEwqF,GAAG,CAAC,OAAO,CAAC,EAAEzqF,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE0C,EAAEq+E,GAAG,CAAC,OAAO,CAAC,EAAEt+E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,KAAK,EAAE,SAAS,EAAE,CAAC,CAAC,EAAE2C,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAEyyF,GAAG,CAAC,OAAO,CAAC,EAAE5yF,EAAE,EAAEE,CAAC,EAAE,QAAQ3C,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B6B,CAAC,EAAE7B,EAAE,8BAA8B+B,CAAC,EAAE/B,EAAE,8BAA8BwC,CAAC,EAAExC,EAAE,8BAA8ByC,CAAC,EAAEzC,EAAE,8BAA8B0C,CAAC,EAAE1C,EAAE,8BAA8B2C,CAAC,EAAEC,CAAC,CAAC,IAAI+yF,IAAG,CAAC,WAAWjrG,GAAG,YAAY,QAAQ,WAAWgrG,EAAE,EAAE,SAASE,IAAI91F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,KAAK,EAAE,WAAW0B,CAAC,EAAE3B,EAAE4B,EAAED,EAAE1B,EAAEu1F,GAAG,CAAC,OAAO,CAAC,OAAOv1F,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,IAAIG,EAAE,MAAM,OAAO,CAAC,CAAC,CAAC,EAAE4B,EAAED,EAAE,MAAM,CAAC,EAAEU,EAAEV,EAAE,MAAM,CAAC,EAAEW,EAAE,IAAIyyF,IAAGnzF,EAAES,EAAE,CAAC,EAAEE,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEC,EAAE3C,EAAE,gBAAgByC,EAAE,CAACX,CAAC,EAAE,QAAQY,CAAC,EAAE,OAAOb,GAAG7B,EAAE,8BAA8B8B,CAAC,EAAEa,CAAC,CAAC,IAAIkzF,IAAG,CAAC,WAAWtuG,GAAG,YAAY,QAAQ,WAAWquG,GAAG,EAAME,IAAI7Y,GAAG;AAAA;AAAA,EAEp2C8Y,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJ,SAASC,IAAIl2F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGF,EAAE,mBAAmB,CAACE,CAAC,CAAC,EAAE,CAAC,IAAI,EAAEF,EAAE,QAAQ,IAAIE,EAAE,MAAM,EAAE,CAAC,EAAE2B,CAAC,EAAE64E,GAAG,EAAE,OAAOx6E,EAAE,MAAMA,EAAE,KAAK,EAAE,OAAOF,EAAE,eAAe6B,EAAE3B,EAAE,MAAM,CAAC,CAAC,CAAC,IAAIC,EAAE,OAAOzO,EAAE,EAAE,QAAQ,6BAA6B,EAAEyO,EAAE,IAAI29E,GAAG59E,EAAE,MAAM61F,GAAG,EAAE51F,EAAE,IAAI68E,GAAG98E,EAAE,MAAM41F,GAAG,EAAE91F,EAAE,gBAAgBG,EAAE,CAACD,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI+1F,IAAG,CAAC,WAAWxuG,GAAG,YAAY,QAAQ,WAAWuuG,GAAG,EAAME,IAAI/hG,GAAG,wBAAwB,SAASgiG,IAAIr2F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,SAASG,EAAE,MAAM,EAAEqC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgByC,CAAC,EAAEyzF,IAAIn0F,EAAES,EAAE,EAAEX,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,IAAI2zF,IAAG,CAAC,WAAW1uG,GAAG,YAAY,QAAQ,WAAWyuG,GAAG,EAAME,IAAIliG,GAAG,wBAAwB,SAASmiG,IAAIx2F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,mBAAmBC,CAAC,EAAE7B,EAAEsC,EAAExC,EAAE,SAASG,EAAE,MAAM,EAAEsC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,gBAAgB0C,EAAE,aAAaC,CAAC,EAAE0zF,IAAI7zF,EAAEC,EAAE,EAAEZ,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC0C,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAWA,CAAC,CAAC,EAAE1C,EAAE,eAAe,CAAC,EAAE,QAAQ,IAAI,WAAW,CAAC2C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI4zF,IAAG,CAAC,WAAW5uG,GAAG,YAAY,QAAQ,WAAW2uG,GAAG,EAAME,IAAIriG,GAAG,wBAAwB,SAASsiG,IAAI32F,EAAE,CAAChS,EAAE,KAAK,+FAA+F,EAAE,GAAG,CAAC,OAAO,EAAE,QAAQkS,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,aAAa0B,EAAE,eAAeC,EAAE,aAAaC,CAAC,EAAE7B,EAAEsC,EAAExC,EAAE,SAASG,EAAE,MAAM,EAAEsC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAE,EAAEC,EAAEd,EAAEe,EAAEd,EAAEgC,EAAE/B,EAAE,CAAC,gBAAgB,EAAE,eAAeqF,CAAC,EAAEovF,IAAIh0F,EAAEC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAE,MAAM,CAAC9D,EAAE,eAAe,CAAC,EAAE,MAAM,EAAE,QAAQ,IAAI,WAAW,CAAC,CAAC,EAAEA,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,UAAU,IAAI,aAAaA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIsvF,IAAG,CAAC,WAAW9uG,GAAG,YAAY,QAAQ,WAAW6uG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYj2F,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,SAAS,EAAE,KAAK,YAAY,CAACO,EAAEV,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,8BAIl/DG,aAAa;AAAA;AAAA;AAAA,KAGtC,CAAC,EAAMy2F,IAAI92F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAEzD,EAAE,cAAc6B,EAAE,KAAK,EAAEqC,EAAE,IAAIm0F,IAAG50F,EAAE,EAAEF,EAAEC,CAAC,EAAEW,EAAE29E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC+B,CAAC,CAAC,CAAC,CAAC,EAAEW,EAAE1C,EAAE,gBAAgBwC,EAAE,CAACC,CAAC,EAAE,CAAC,EAAEzC,EAAE,8BAA8ByC,CAAC,EAAE,IAAIE,EAAE,CAAC,GAAGxC,EAAE,MAAM,CAAC,EAAEyC,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAE,OAAO3C,EAAE,8BAA8B0C,CAAC,EAAEE,CAAC,EAAEi0F,IAAG,CAAC,WAAW9uG,GAAG,YAAY,QAAQ,WAAW6uG,GAAG,EAAE,SAASE,GAAGh3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMpmF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAE82F,GAAG,CAAC,OAAO,CAAC,EAAE32F,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE0nF,GAAG,CAAC,OAAO,CAAC,MAAMxnF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAEi1F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ92F,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKl9E,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAO+rF,GAAG,CAAC,MAAM,CAAC,MAAM3tF,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAMA,EAAE,QAAQ,SAAS,GAAG,CAAC,EAAE,QAAQF,CAAC,CAAC,CAAC,CAAC,IAAI+2F,IAAG,CAAC,WAAWpqG,GAAG,YAAY,QAAQ,WAAWmqG,EAAE,EAAE,SAASE,GAAGl3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,GAAGA,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,8CAA8C,EAAE,GAAGA,EAAE,QAAQ,YAAY,CAAC,IAAIC,EAAEmmF,GAAG,CAAC,OAAO,CAAC,MAAMpmF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE,EAAEg3F,GAAG,CAAC,OAAO,CAAC,EAAE72F,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,EAAE0nF,GAAG,CAAC,OAAO,CAAC,MAAMxnF,CAAC,EAAE,QAAQF,CAAC,CAAC,EAAE6B,EAAEi1F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ92F,CAAC,CAAC,EAAE8B,EAAEi9E,GAAG,CAAC,OAAO,CAAC,KAAK,EAAE,KAAKl9E,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8BG,CAAC,EAAEH,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B,CAAC,EAAEA,EAAE,8BAA8B6B,CAAC,EAAEC,CAAC,KAAM,QAAO+rF,GAAG,CAAC,MAAM,CAAC,MAAM3tF,EAAE,MAAM,MAAMA,EAAE,MAAM,MAAM,CAAC,EAAE,QAAQF,CAAC,CAAC,CAAC,CAAC,IAAIi3F,IAAG,CAAC,WAAWjvG,GAAG,YAAY,QAAQ,WAAWgvG,EAAE,EAAE,SAASE,IAAIp3F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOitF,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,QAAQntF,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAE0qF,GAAG,CAAC,OAAO,CAAC,MAAM3qF,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAE+lF,GAAG,CAAC,OAAOhmF,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,8BAA8BwC,CAAC,CAAC,EAAET,CAAC,CAAC,IAAIo1F,IAAG,CAAC,WAAWhvG,GAAG,YAAY,QAAQ,WAAW+uG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY12F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC,EAAEwC,IAAI,EAAE,CAAC,EAAE9B,EAAE8B,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,IAAIrC,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI,GAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,EAAE6B,EAAE7B,EAAE,IAAI,CAAC,EAAEwC,IAAI,EAAE,CAAC,EAAE9B,EAAE8B,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEV,EAAE,CAAC,YAAY,YAAY,YAAY,WAAW,EAAE,MAAM,EAAE3B,CAAC,EAAE,GAAGA,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA,sBAC58EyB;AAAA,oBACFC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUZ,MAAM,CAAC,KAAK,SAAS;AAAA,QACrBF,aAAaA,KAAKC;AAAA,QAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGdF;AAAA;AAAA;AAAA;AAAA,YAIEA;AAAA,2BACeG;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAMu1F,IAAG,KAAK,CAAC,YAAY32F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,eAAe,CAAC,CAAC,KAAK,QAAQ,KAAK,OAAO,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAI,CAAC8D,EAAEC,IAAID,EAAE,CAAC,EAAEpD,EAAEqD,CAAC,EAAED,EAAE,CAAC,CAAC,EAAE,IAAI3D,EAAEO,EAAE,OAAOiB,EAAEo1E,GAAG52E,CAAC,EAAEyB,EAAE5B,EAAE,IAAI8D,GAAGA,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEjC,EAAE7B,EAAE,IAAI,CAAC8D,EAAEC,IAAID,EAAE,CAAC,EAAEpD,EAAEqD,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEjC,EAAEs6E,GAAG,KAAKj8E,CAAC,EAAE,EAAEi8E,GAAG,SAASj8E,CAAC,EAAEqC,EAAE,GAAGV,EAAE3B,EAAE,CAAC,OAAO,KAAK,YAAYA,EAAE,CAAC,IAAI,EAAEA,IAAI,EAAE,SAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,KAAKuC,EAAE,CAAC,GAAGf,oBAAoB,GAAGG,EAAE3B,EAAE,CAAC;AAAA,YAC7aqC;AAAA,QACJrC,IAAI,EAAE,GAAG;AAAA;AAAA,SAER2B,EAAE3B,EAAE,CAAC;AAAA,YACF2B,EAAE3B,EAAE,CAAC,OAAO,KAAK,YAAYA,EAAE,CAAC,OAAOA,IAAI,EAAE,GAAG,KAAK2B,EAAE3B,EAAE,CAAC;AAAA,cACxDqC,MAAM,EAAEG,EAAExC,IAAI,EAAE,0BAA0B,6DAA6DyC,EAAE,GAAG,QAAQkB,EAAE,EAAEC,EAAE5D,IAAI,EAAE,EAAE,EAAE2D,EAAEC,EAAED,IAAIlB,GAAG;AAAA,UACnJF,EAAEoB,CAAC;AAAA,cACCnB;AAAA,mBACKmB;AAAA;AAAA,YAEPnC;AAAA,mBACOmC,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA,QAEjDlB,GAAGzC,IAAI,EAAE,KAAK,KAAK,KAAK,SAAS;AAAA,cAC3BwB,aAAaA,KAAKC;AAAA,cAClBD,WAAWA,KAAKE;AAAA;AAAA;AAAA,UAGpBF;AAAA;AAAA,UAEAiB;AAAA;AAAA;AAAA,KAGL,CAAC,EAAM00F,GAAGx3F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,SAAS,EAAE,cAAc,CAAC,EAAED,EAAE,GAAG5B,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI4B,EAAE,EAAE,IAAI,CAACS,EAAEC,IAAID,EAAE,CAAC,EAAErC,EAAE,MAAMsC,CAAC,EAAED,EAAE,CAAC,CAAC,EAAE,OAAOqrF,GAAG,CAAC,QAAQ7tF,EAAE,MAAM,CAAC,MAAM+B,EAAE,MAAM,EAAE,MAAM5B,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,IAAI0B,EAAEnQ,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI2lG,IAAGl3F,EAAE,MAAM,EAAE,CAAC,EAAE,IAAIi3F,IAAGj3F,EAAE,MAAM,EAAE,CAAC,EAAE2B,EAAE,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO9B,EAAE,gBAAgB6B,EAAE,CAAC1B,CAAC,EAAEA,EAAE,MAAM2B,CAAC,CAAC,EAAEy1F,IAAG,CAAC,WAAWnvG,GAAG,YAAY,QAAQ,WAAWkvG,EAAE,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS1aC,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAgBF9Y,GAAG;AAAA;AAAA,EAEL+Y,IAAI/X,GAAG,CAAC,UAAU6X,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAI93F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAEzD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAEqC,EAAET,EAAEU,EAAE3U,EAAE,mBAAmB0U,EAAEX,CAAC,EAAEa,EAAEvC,EAAEsC,GAAG,OAAOC,EAAEu+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAED,EAAE1U,EAAE,iBAAiB0U,EAAE,OAAOX,CAAC,EAAEC,EAAE,KAAKY,CAAC,GAAG5U,EAAE,2BAA2B,OAAO0U,EAAEX,CAAC,EAAE,IAAIc,EAAE,GAAG3C,EAAE,mBAAmB,CAAC0C,CAAC,CAAC,EAAE,CAAC,IAAIE,EAAE5C,EAAE,QAAQ,IAAI0C,EAAE,MAAM,EAAE,OAAO,CAAC,QAAQoB,EAAE,SAAS,EAAE,SAASsD,CAAC,EAAEwzE,GAAGl4E,EAAE,MAAMA,EAAE,MAAME,EAAEJ,CAAC,EAAEG,EAAE3C,EAAE,eAAe,EAAEoH,EAAEtD,CAAC,CAAC,KAAK,CAAC,GAAG,CAAClB,EAAEkB,CAAC,EAAEhW,EAAE,0BAA0B4U,EAAE,MAAMF,CAAC,EAAE,EAAElE,EAAE,cAAcwF,CAAC,EAAEsD,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE19E,CAAC,EAAE,QAAQ1C,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,EAAEpD,GAAGuD,EAAE,KAAK,EAAEoE,EAAEk8E,GAAGr5E,EAAE,EAAE,OAAOpH,CAAC,EAAE2C,EAAEy9E,GAAG,CAAC,OAAO,CAAC77E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAEd,EAAE,KAAKsF,CAAC,EAAEtF,EAAE,KAAKyC,CAAC,CAAC,CAAC,GAAG,EAAE,CAACzC,EAAE,KAAKa,CAAC,EAAE,IAAIC,EAAE9U,EAAE,qBAAqB6U,EAAE,MAAMZ,CAAC,EAAEY,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,CAAC,CAAC,OAAOd,EAAE,QAAQc,GAAG5C,EAAE,8BAA8B4C,CAAC,CAAC,EAAED,CAAC,CAAC,IAAIk1F,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAIh4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,mBAAmBK,EAAE,kBAAkB,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,iBAAiB0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,IAAIiH,GAAGpH,EAAE,SAASoH,EAAE,MAAM,CAAC,EAAErF,EAAE5B,EAAE,IAAIiH,GAAGA,EAAE,KAAK,EAAE5E,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAEyC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC0C,EAAEC,EAAEC,CAAC,EAAEi4E,GAAG/4E,EAAEC,EAAES,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMZ,CAAC,EAAEiC,EAAEpB,EAAE,IAAI0E,GAAGpH,EAAE,eAAe,CAACoH,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,EAAE,EAAEpH,EAAE,eAAe4C,EAAE,EAAE,MAAMD,CAAC,EAAE,OAAOmB,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIi0F,IAAG,CAAC,WAAWpvG,GAAG,YAAY,QAAQ,WAAWmvG,GAAG,EAAE,SAASE,IAAIl4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,OAAOC,EAAE,OAAO,CAAC,EAAE,EAAE,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEs4E,GAAG,EAAE56E,EAAE,MAAMA,EAAE,MAAM2B,EAAE1B,EAAE,MAAM2B,EAAE,EAAE,KAAK,EAAEW,EAAEzC,EAAE,eAAe,CAAC+B,EAAE,MAAM,EAAE,QAAQA,CAAC,EAAEW,EAAE1C,EAAE,eAAe,CAACwC,EAAE,MAAM,EAAEtC,EAAE,MAAMsC,CAAC,EAAE,MAAM,CAACC,EAAEC,CAAC,CAAC,CAAC,IAAIu1F,IAAG,CAAC,WAAWrvG,GAAG,YAAY,QAAQ,WAAWovG,GAAG,EAAE,SAASE,IAAIp4F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,OAAO,EAAE,aAAa,EAAE,oBAAoB0B,CAAC,EAAE,EAAE,CAAC,kBAAkBC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,SAASG,EAAE,MAAM,EAAEqC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAEyC,EAAEzC,EAAE,SAAS,EAAE,MAAM,EAAE0C,EAAEb,EAAE,IAAI,GAAG7B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE2C,EAAEd,EAAE,IAAI,GAAG,EAAE,KAAK,EAAE,CAACe,EAAEkB,CAAC,EAAEi3E,GAAGh5E,EAAE5B,EAAE,MAAMqC,EAAE,EAAE,MAAM,EAAE,MAAMC,EAAE,EAAE,MAAMC,EAAEC,EAAEb,CAAC,EAAE,OAAO9B,EAAE,eAAe4C,EAAE,EAAE,MAAMkB,CAAC,CAAC,CAAC,IAAIq0F,IAAG,CAAC,WAAWtvG,GAAG,YAAY,QAAQ,WAAWqvG,GAAG,EAAME,GAAGt4F,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEH,EAAE6B,EAAEm5E,GAAG96E,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO,EAAE,eAAe,CAAC0B,EAAE,MAAM,EAAE,EAAEA,CAAC,CAAC,EAAEw2F,IAAG,CAAC,WAAWvvG,GAAG,YAAY,QAAQ,WAAWsvG,EAAE,EAAME,IAAI,kBAAkBC,IAAI7Y,GAAG,CAAC,UAAU4Y,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWtvG,GAAG,YAAY,QAAQ,WAAWqvG,GAAG,EAAME,IAAIxb,GAAG;AAAA;AAAA,EAEl7Eyb,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIjZ,GAAG,CAAC,UAAU+Y,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWxvG,GAAG,YAAY,QAAQ,WAAWuvG,GAAG,EAAME,IAAI5b,GAAG;AAAA;AAAA,EAE7G6b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAIrZ,GAAG,CAAC,UAAUmZ,IAAI,gBAAgBC,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3vG,GAAG,YAAY,QAAQ,WAAW0vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYv4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE/ZF,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,uCACmBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAoB9B,CAAC,EAAMw2F,IAAG,KAAK,CAAC,YAAYx4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEf,EAAEe,EAAE,wEAAwEA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE7WF,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,uCACmBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAgDpC,CAAC,EAAE,SAASy2F,IAAIr5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE9Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIwnG,IAAG/4F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIk3F,IAAG94F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIi5F,IAAG,CAAC,WAAW7vG,GAAG,YAAY,QAAQ,WAAW4vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY34F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACG,EAAEwB,CAAC,EAAE3B,EAAE,CAAC,CAAC4B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU7hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB1B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMHwB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KA8BlD,CAAC,EAAE,SAAS23F,IAAIx5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAIw3F,IAAG,EAAE,MAAMl5F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAI03F,IAAG,CAAC,WAAW/vG,GAAG,YAAY,QAAQ,WAAW8vG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY94F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAE5iBH,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,uCACmBX,QAAQC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA;AAAA;AAAA,KAKzD,CAAC,EAAM+2F,IAAG,KAAK,CAAC,YAAY/4F,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,KAAK,YAAY,CAAC,EAAE,GAAG,CAACC,EAAEC,EAAEC,EAAE,CAAC,EAAEpB,EAAE,KAAK,YAAY,CAACkB,EAAE5B,EAAE,EAAE,CAAC,EAAE,IAAIwC,EAAE,CAACrC,GAAGH,EAAE,EAAE6B,EAAE,EAAEA,EAAE1B,GAAG,EAAE,EAAE2B,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC3B,GAAGH,EAAE,EAAEA,EAAE,EAAEA,EAAEG,GAAG,EAAE,EAAE,EAAE,EAAE,CAAC,EAAEuC,EAAEvC,EAAE,MAAM,MAAMwC,EAAEhB,EAAEgB,EAAE,4EAA4EA,EAAE,8CAA8C,KAAK,SAAS;AAAA;AAAA,YAEjYH,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,YACRA,EAAE,CAAC,EAAE,EAAE,CAAC;AAAA,uCACmBX,QAAQC;AAAA,uCACRA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJa;AAAA;AAAA;AAAA;AAAA,8DAI2BD;AAAA;AAAA;AAAA,gCAG9B,EAAE;AAAA,uCACK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAapC,CAAC,EAAE,SAASg3F,IAAI55F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK0B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAEW,EAAE9Q,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAI+nG,IAAGt5F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,IAAIy3F,IAAGr5F,EAAE,MAAM2B,EAAEC,EAAE,EAAE,CAAC,EAAE,OAAO/B,EAAE,gBAAgBwC,EAAE,CAACrC,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIw5F,IAAG,CAAC,WAAWlwG,GAAG,YAAY,QAAQ,WAAWiwG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYl5F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,YAAYA,EAAE,GAAG,CAAC,CAACG,EAAEwB,CAAC,EAAE3B,EAAE,CAAC,CAAC4B,EAAEC,CAAC,EAAEnB,EAAEoB,EAAE,CAAC,GAAGF,EAAE,EAAEzB,EAAE,EAAEA,EAAE,GAAG0B,EAAE,EAAEF,EAAE,EAAEA,CAAC,EAAE,EAAE,CAAC,GAAGC,EAAE,EAAEA,EAAE,EAAEA,EAAE,GAAGC,EAAE,EAAEA,EAAE,EAAEA,CAAC,EAAEW,EAAEV,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAE,CAAC,EAAEY,EAAE,EAAEF,EAAEG,EAAE,EAAE,EAAEC,EAAE,KAAK,KAAKF,CAAC,EAAE,EAAE,EAAEoB,EAAE,KAAK,KAAKnB,CAAC,EAAE,EAAE,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hBH;AAAA,yCACD;AAAA;AAAA,6CAEIE;AAAA,4CACDC;AAAA;AAAA,oCAERC;AAAA,mCACDkB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcDlC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQEC;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKdC,EAAE,CAAC;AAAA,sCACa,EAAE,CAAC;AAAA;AAAA;AAAA,wBAGjBA,EAAE,CAAC;AAAA,wCACa,EAAE,CAAC;AAAA;AAAA;AAAA,4BAGf3B;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIUwB;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,KAYb,CAAC,EAAE,SAASk4F,IAAI/5F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,GAAG,CAAC,EAAE,EAAE,CAAC,aAAa,CAAC,EAAED,EAAE2B,EAAE,IAAI+3F,IAAG,EAAE,MAAMz5F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIi4F,IAAG,CAAC,WAAWpwG,GAAG,YAAY,QAAQ,WAAWmwG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYr5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAEU,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,GAAG,KAAK,YAAYA,EAAE,IAAI,EAAE,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,2BAG7YA,EAAE,CAAC;AAAA;AAAA,QAEtB,MAAM,CAAC,IAAIP,EAAE0B,GAAG7B,EAAE,QAAQ6B,CAAC,IAAI,IAAInB,EAAEmB,CAAC,IAAI,EAAE,GAAGnB,EAAEmB,CAAC,cAAcA,SAAS,UAAUA,KAAKF,EAAEjB,EAAE,IAAI,CAACmB,EAAEC,IAAI3B,EAAE2B,CAAC,CAAC,EAAE,KAAK,GAAG,EAAEF,EAAEm1E,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAE3In1E;AAAA,yBACeD;AAAA;AAAA,KAEpB,CAAC,EAAMq4F,IAAG,KAAK,CAAC,YAAYt5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,aAAa,GAAG,KAAK,aAAa,GAAG,IAAI,EAAEU,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,IAAI,MAAM,kCAAkC,+BAA+B,EAAE,KAAK,YAAYA,EAAE,IAAIP,EAAEi8E,GAAG,KAAK,CAAC,EAAEz6E,EAAE,GAAGxB,EAAE,EAAE,CAAC,WAAW,KAAK,YAAY,EAAE,CAAC,IAAIyB,EAAE,GAAGzB,EAAE,EAAE,CAAC,WAAW,KAAK,YAAY,EAAE,CAAC,IAAI0B,EAAEk1E,GAAG,CAAC,EAAE,IAAI,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA,uCAIrUr2E,EAAE,CAAC;AAAA,cAC5BA,EAAE,CAAC;AAAA,eACFiB;AAAA,2CAC4BjB,EAAE,CAAC;AAAA,kBAC5BA,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,QAIb,KAAK,SAAS;AAAA;AAAA,YAEVmB;AAAA;AAAA,uBAEWC,EAAE3B,EAAE,MAAM,CAAC;AAAA,eACnBwB;AAAA,yBACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA,eAErByB;AAAA,yBACUY,EAAErC,EAAE,MAAM,CAAC;AAAA,iBACnBwB;AAAA,2BACU,EAAExB,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAKhC,SAAS2B,EAAEc,EAAE,CAAC,OAAOF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,IAAIA,EAAE,EAAE,CAAC,EAAE,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASJ,EAAEI,EAAE,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,IAAIA,EAAE,EAAE,CAAC,EAAE,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAAS,EAAEA,EAAE,CAAC,OAAOA,EAAE,EAAE,CAAC,EAAE,IAAIA,EAAE,EAAE,CAAC,EAAE,QAAQA,EAAE,EAAE,CAAC,EAAE,IAAIA,EAAE,EAAE,CAAC,EAAE,QAAQF,EAAEE,CAAC,CAAC,CAAC,SAASF,EAAEE,EAAE,CAAC,IAAIkB,EAAEpD,EAAE,IAAI,CAACkE,EAAEL,IAAI5B,EAAE4B,EAAE3B,CAAC,CAAC,EAAEmB,EAAED,EAAE,KAAK,GAAG,EAAEsD,EAAEtD,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG,EAAE,MAAM,mBAAmBC,YAAYqD,KAAK,CAAC,SAASzE,EAAEC,EAAEkB,EAAE,CAAC,OAAO9D,EAAE,QAAQ4C,CAAC,IAAI,IAAIlC,EAAEkC,CAAC,IAAI,EAAE,GAAGlC,EAAEkC,CAAC,OAAOkB,EAAElB,CAAC,QAAQ,GAAGkB,EAAElB,CAAC,GAAG,CAAC,CAAC,EAAE,SAASq3F,IAAIn6F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAEC,EAAE,MAAM,OAAO0B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO0+E,GAAG,CAAC,OAAO,CAAC,EAAE1+E,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI8B,EAAEpQ,EAAE,EAAE,QAAQ,6BAA6B,EAAE,IAAIsoG,IAAG75F,EAAE,MAAM0B,CAAC,EAAE,IAAIk4F,IAAG55F,EAAE,MAAM0B,CAAC,EAAE,OAAO7B,EAAE,gBAAgB8B,EAAE,CAAC3B,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI+5F,IAAG,CAAC,WAAWvwG,GAAG,YAAY,QAAQ,WAAWswG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYz5F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,OAAO,EAAE,KAAK,YAAY,CAAC,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,SAAS,KAAK,MAAM,CAAC,EAAE,IAAI,EAAEU,EAAE,CAAC,EAAEP,EAAEO,EAAE,CAAC,EAAE,KAAK,YAAYA,EAAE,IAAIiB,EAAE,GAAG,OAAO3B,GAAG,SAAS2B,EAAE,uBAAuB3B,EAAE,QAAQ,CAAC,KAAK2B,EAAE;AAAA,2BACl9B3B,EAAE,KAAK,GAAG;AAAA,8CACS,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD2B;AAAA,uCAC2BxB,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA,KAKlE,CAAC,EAAMi6F,IAAG,CAAC,WAAWxwG,GAAG,YAAY,QAAQ,WAAW,CAAC,CAAC,OAAOkW,EAAE,MAAM,EAAE,QAAQE,CAAC,IAAI,CAAC,GAAG,CAAC,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,EAAE0B,EAAE7B,EAAE8B,EAAE,IAAIq4F,IAAGj6F,EAAE,MAAM,CAAC,EAAE,CAAC6B,EAAES,CAAC,EAAE1U,EAAE,eAAe,EAAEoS,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,CAAC,EAAEuC,EAAE,CAAC,CAACV,EAAES,EAAE,KAAK,IAAIrC,CAAC,EAAE,KAAK,IAAIA,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,gBAAgBC,EAAE,CAAC5B,CAAC,EAAEA,EAAE,MAAMuC,CAAC,CAAC,CAAC,EAAM43F,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAe5SC,IAAI5a,GAAG,CAAC,UAAU2a,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW1wG,GAAG,YAAY,QAAQ,WAAWywG,GAAG,EAAME,IAAI,yBAAyBC,IAAI/a,GAAG,CAAC,UAAU8a,IAAI,cAAcvf,EAAE,CAAC,EAAEyf,IAAG,CAAC,WAAW5wG,GAAG,YAAY,QAAQ,WAAW2wG,GAAG,EAAME,GAAG,KAAK,CAAC,YAAYj6F,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAEC,EAAE,GAAG,CAAC,KAAK,cAAc,CAAC,UAAU,UAAU,cAAc,EAAE,KAAK,YAAYD,EAAE,IAAIE,EAAEi1E,GAAGp1E,EAAE,MAAM,EAAE,EAAEo1E,GAAGn1E,EAAE,MAAM,EAAEY,EAAE,GAAG,IAAI,EAAEA,EAAE,IAAI,IAAI,IAAIA,EAAE,QAAQ,IAAI,EAAE,cAAcA,KAAKE,EAAE,GAAGvC,IAAI,EAAEuC,EAAE,IAAIvC,IAAI,IAAIuC,EAAE,gBAAgB,IAAIC,EAAE,cAAcD,KAAKE,EAAE5C,EAAE,EAAE,aAAa,UAAU,KAAK,SAAS;AAAA,UACzgB8B,eAAeA,KAAKH;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoBjB;AAAA;AAAA,kCAEEV;AAAA,kCACA;AAAA,0CACQ4C;AAAA;AAAA;AAAA,uBAGnBD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAMhB,CAAC,EAAE,SAASi4F,IAAI96F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAED,EAAE,CAAC,UAAU2B,EAAE,WAAWC,EAAE,UAAUC,EAAE,QAAQS,EAAE,WAAWC,CAAC,EAAE3U,EAAE,gBAAgB,EAAEqS,EAAE,CAAC,EAAEuC,EAAE,CAACD,EAAEV,EAAEA,CAAC,EAAE,GAAGU,IAAI,EAAE,OAAOzC,EAAE,eAAe,EAAEG,EAAE,KAAK,EAAE,IAAIwC,EAAEy9E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAED,CAAC,CAAC,CAAC,CAAC,EAAEe,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM,CAAC8B,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE+B,EAAE9D,EAAE,eAAe,CAAC,EAAE,UAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,IAAI26F,GAAG74F,EAAED,EAAEc,EAAE,MAAM,OAAOC,EAAE,MAAM,OAAOJ,EAAEE,CAAC,EAAE0E,EAAEpH,EAAE,gBAAgB,EAAE,CAAC4C,EAAED,EAAEmB,CAAC,EAAElB,EAAE,KAAK,EAAE,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOA,EAAE,8BAA8B2C,CAAC,EAAE3C,EAAE,8BAA8B4C,CAAC,EAAE5C,EAAE,8BAA8BoH,CAAC,EAAEpH,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAI+2F,IAAG,CAAC,WAAW7wG,GAAG,YAAY,QAAQ,WAAW4wG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYp6F,EAAEV,EAAE,EAAEG,EAAE,CAAC,KAAK,cAAc,CAAC,iBAAiB,QAAQ,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,YAAY,KAAK,KAAK,CAAC,EAAE,KAAK,YAAY,CAACO,EAAE,CAAC,EAAE,IAAIiB,EAAE,yBAAyBC,EAAE,uBAAuB,KAAK,KAAK,KAAK,KAAK5B,EAAE,CAAC,CAAC,sCAAsC6B,EAAEnQ,EAAE,EAAE,UAAU,eAAe,IAAI,EAAEiQ,EAAEC,EAAEE,EAAE3B,IAAI,OAAO,IAAI,KAAK,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKrjC0B;AAAA;AAAA,+CAEoCC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkBzC,CAAC,EAAE,SAASi5F,IAAIj7F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,eAAeK,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAIi5F,IAAG36F,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE2B,EAAE,CAAC,CAAC3B,EAAE,MAAM,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAE,gBAAgB6B,EAAE,CAAC1B,EAAE,CAAC,EAAE,QAAQ2B,CAAC,CAAC,CAAC,IAAIk5F,IAAG,CAAC,WAAW/wG,GAAG,YAAY,QAAQ,WAAW8wG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYv6F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,IAAI,GAAG,EAAE,KAAK,YAAYA,EAAE,IAAIG,EAAEwB,EAAE,GAAG,EAAE,EAAE,MAAM,MAAM,kBAAkB,wBAAwB,EAAE,GAAG,IAAI,EAAEA,EAAE,QAAQxB,EAAE,YAAY,CAAC,IAAI0B,EAAE,CAAC,UAAU,UAAU,UAAU,SAAS,EAAEC,EAAE,CAAC,EAAE,EAAE,CAAC,EAAE,QAAQU,EAAE,EAAEA,EAAExC,EAAE,OAAOwC,IAAI,EAAE,KAAK,GAAGX,EAAEW,CAAC,GAAG,EAAEA,EAAE9B,GAAGoB,EAAE,KAAK,GAAGD,EAAEW,CAAC,GAAG,EAAErC,EAAE2B,EAAE,KAAK,EAAEH,EAAE,EAAE,KAAK,CAAC,CAAC,IAAIC,EAAEm1E,GAAG,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAEzmBn1E;AAAA,4BACkBzB;AAAA;AAAA,2BAEDwB;AAAA;AAAA,2BAEAA;AAAA;AAAA;AAAA,KAGtB,CAAC,EAAE,SAASu5F,IAAIp7F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAE,IAAI86F,IAAG/6F,EAAE,MAAM,OAAOC,EAAE,MAAMA,EAAE,MAAM,MAAM,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,EAAEC,EAAE,CAAC,EAAE/B,GAAG+B,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,CAAC,IAAIg7F,IAAG,CAAC,WAAWjxG,GAAG,YAAY,QAAQ,WAAWgxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,uBAG7NttG,EAAE;AAAA,kBACPA,EAAE;AAAA;AAAA,EAElButG,IAAI3b,GAAG,CAAC,UAAU0b,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWnxG,GAAG,YAAY,QAAQ,WAAWkxG,GAAG,EAAME,IAAI9b,GAAG;AAAA;AAAA,EAEzF+b,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUJC,IAAI/b,GAAG,CAAC,UAAU6b,IAAI,gBAAgBC,IAAI,cAAcrgB,EAAE,CAAC,EAAEugB,IAAG,CAAC,WAAWrxG,GAAG,YAAY,QAAQ,WAAWoxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAG3HC,IAAIlc,GAAG,CAAC,UAAUic,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWvxG,GAAG,YAAY,QAAQ,WAAWsxG,GAAG,EAAME,IAAIrc,GAAG;AAAA;AAAA,EAEzFsc,IAAIrc,GAAG,CAAC,UAAUoc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWzxG,GAAG,YAAY,QAAQ,WAAWwxG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGtFC,IAAIxc,GAAG,CAAC,UAAUuc,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3xG,GAAG,YAAY,QAAQ,WAAW0xG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoBtFC,IAAI3c,GAAG,CAAC,UAAU0c,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW3xG,GAAG,YAAY,QAAQ,WAAW0xG,GAAG,EAAME,IAAIz8F,GAAG,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE5B,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,sEAAsE,EAAE,IAAI0B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQsF,EAAE,EAAE,EAAE,OAAOA,EAAEjH,EAAE,MAAM,OAAO,EAAEiH,EAAEtF,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAE,CAAC,EAAES,EAAE80F,GAAG,CAAC,OAAO,CAAC,EAAEn3F,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEW,EAAE3U,EAAE,YAAY0U,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEa,EAAE5U,EAAE,YAAY2U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE7U,EAAE,oBAAoB0U,EAAE,MAAM,EAAEX,EAAE,EAAE,EAAEe,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE59E,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,EAAEqB,EAAEm9E,GAAG,CAAC,OAAO,CAAC,EAAEr+E,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,KAAK0C,CAAC,CAAC,CAAC,EAAE,EAAE09E,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM2C,CAAC,CAAC,CAAC,EAAE,OAAOZ,EAAE,KAAKS,CAAC,EAAET,EAAE,KAAKa,CAAC,EAAEb,EAAE,KAAK+B,CAAC,EAAE/B,EAAE,QAAQqF,GAAGpH,EAAE,8BAA8BoH,CAAC,CAAC,EAAE,CAAC,EAAEo1F,IAAG,CAAC,WAAW5xG,GAAG,YAAY,QAAQ,WAAW2xG,GAAG,EAAE,SAASE,IAAI38F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAE,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WAC/7B,EAAE,OAAO,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,WACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO,EAAE,IAAI0B,EAAE7B,EAAE,SAASE,EAAE,MAAM,EAAE4B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE4B,EAAE/B,EAAE,SAAS,EAAE,MAAM,EAAEwC,EAAExC,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,EAAE,CAACyC,EAAEC,EAAEC,EAAEC,EAAEkB,CAAC,EAAEw3E,GAAGz5E,EAAE3B,EAAE,MAAMA,EAAE,MAAM4B,EAAE3B,EAAE,MAAM4B,EAAES,CAAC,EAAE,MAAM,CAACxC,EAAE,eAAe0C,EAAExC,EAAE,MAAMuC,CAAC,EAAEzC,EAAE,eAAe,CAAC0C,EAAE,CAAC,CAAC,EAAEvC,EAAE,MAAMwC,CAAC,EAAE3C,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,OAAO,IAAI,WAAWA,EAAE,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE5C,EAAE,eAAe,CAAC8D,EAAE,MAAM,EAAE5D,EAAE,MAAM,IAAI,WAAW4D,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI44F,IAAG,CAAC,WAAW7xG,GAAG,YAAY,QAAQ,WAAW4xG,GAAG,EAAE,SAASE,IAAI78F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,qDAAqDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,MAAM,KAAKH,EAAE,SAASG,EAAE,MAAM,CAAC,EAAE0B,EAAE7B,EAAE,SAASE,EAAE,MAAM,EAAE4B,EAAE,MAAM,KAAK9B,EAAE,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAE84E,GAAG15E,EAAE3B,EAAE,MAAMA,EAAE,MAAM,EAAE4B,CAAC,EAAE,MAAM,CAAC9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,EAAE/B,EAAE,eAAe,CAACyC,EAAE,MAAM,EAAE,EAAE,MAAM,IAAI,WAAWA,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIm6F,IAAG,CAAC,WAAW9xG,GAAG,YAAY,QAAQ,WAAW6xG,GAAG,EAAE,SAASE,IAAI/8F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjxCA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEg5E,GAAG,EAAEt7E,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,EAAE,EAAE,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAI+6F,IAAG,CAAC,WAAW/xG,GAAG,YAAY,QAAQ,WAAW8xG,GAAG,EAAE,SAASE,IAAIj9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,KAAKI,EAAE,QAAQC,EAAE,WAAW,CAAC,EAAE,EAAE,GAAGD,EAAE,MAAM,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2D,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eAC1aA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO,EAAE,IAAI,EAAEH,EAAE,SAASE,EAAE,MAAM,EAAE2B,EAAE7B,EAAE,SAASG,EAAE,MAAM,EAAE2B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC+B,EAAES,CAAC,EAAEg5E,GAAG,EAAEt7E,EAAE,MAAMA,EAAE,MAAM2B,EAAEC,CAAC,EAAE,OAAO9B,EAAE,eAAewC,EAAEtC,EAAE,MAAM6B,CAAC,CAAC,CAAC,IAAIi7F,IAAG,CAAC,WAAWhyG,GAAG,YAAY,QAAQ,WAAW+xG,GAAG,EAAE,SAASE,IAAIn9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,cAAcK,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,EAAE,CAAC,YAAY0B,CAAC,EAAE3B,EAAE,CAAC,UAAU4B,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAE5U,EAAE,gBAAgB,EAAEqS,EAAE0B,CAAC,EAAEc,EAAE,GAAG,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIyE,EAAEpH,EAAE,WAAWG,CAAC,EAAE,EAAEH,EAAE,WAAW,CAAC,EAAEuE,EAAEjG,EAAE,aAAa0B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,CAAC,EAAEwE,EAAE02E,GAAG9zE,EAAE,EAAEvF,EAAEa,EAAEF,EAAET,EAAED,EAAEW,EAAE8B,EAAE5B,CAAC,EAAE,OAAO3C,EAAE,eAAe6B,EAAE2C,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,IAAI5B,EAAE,IAAI+3F,GAAG54F,EAAED,EAAE3B,EAAE,MAAM,OAAO,EAAE,MAAM,OAAOsC,EAAE,CAACC,EAAE,CAAC,EAAEC,CAAC,EAAEmB,EAAE9D,EAAE,gBAAgB4C,EAAE,CAAC,EAAEzC,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,EAAEigF,GAAG,CAAC,OAAO,CAAC,EAAEt8E,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAM6B,CAAC,CAAC,CAAC,EAAE,OAAO7B,EAAE,8BAA8B8D,CAAC,EAAE,CAAC,CAAC,IAAIo5F,IAAG,CAAC,WAAWjyG,GAAG,YAAY,QAAQ,WAAWgyG,GAAG,EAAE,SAASE,IAAIr9F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE5B,EAAE,MAAM,OAAOqC,EAAE,IAAI,MAAMT,CAAC,EAAE,KAAK,CAAC,EAAEU,EAAEtC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIY,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEd,CAAC,EAAEa,EAAE,IAAIE,EAAE+iF,GAAG,CAAC,OAAO,CAAC,EAAExlF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwC,EAAE,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAOH,EAAEX,CAAC,GAAGa,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAIw6F,IAAG,CAAC,WAAWlyG,GAAG,YAAY,QAAQ,WAAWiyG,GAAG,EAAME,GAAG,kBAAkBC,IAAI5d,GAAG,CAAC,UAAU2d,GAAG,gBAAgBA,GAAG,cAAc5hB,EAAE,CAAC,EAAE8hB,IAAG,CAAC,WAAWpyG,GAAG,YAAY,QAAQ,WAAWmyG,GAAG,EAAME,IAAI,gBAAgBC,IAAI/d,GAAG,CAAC,UAAU8d,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAWtyG,GAAG,YAAY,QAAQ,WAAWqyG,GAAG,EAAME,GAAG,4BAA4BC,IAAIje,GAAG,CAAC,UAAUge,GAAG,gBAAgBA,EAAE,CAAC,EAAEE,IAAG,CAAC,WAAWxyG,GAAG,YAAY,QAAQ,WAAWuyG,GAAG,EAAE,SAASE,IAAI,CAAC,OAAOh+F,EAAE,MAAM,EAAE,QAAQE,CAAC,EAAE,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAEK,EAAE88E,GAAG;AAAA,mCAC9lD,EAAE;AAAA,IACjC,EAAE,IAAID,GAAG98E,EAAE,MAAMC,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACE,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI69F,IAAG,CAAC,WAAWzyG,GAAG,YAAY,QAAQ,WAAWwyG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt9F,EAAEV,EAAE,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,KAAK,YAAY,EAAE,IAAIG,EAAE,EAAE,OAAOwB,EAAEo1E,GAAG,EAAE,MAAM,EAAEn1E,EAAEm1E,GAAG,EAAE,MAAM,EAAEl1E,EAAE,GAAG,GAAG1B,IAAI,EAAE0B,EAAE,+BAA+B,CAAC,IAAIC,EAAE,EAAED,EAAE,EAAE,IAAI,CAAC,EAAEW,KAAKV,IAAI,EAAE,SAAS,EAAE,oBAAoBU,cAAcA,KAAK,UAAUV,EAAE,gBAAgBU,cAAcA,KAAK,EAAE,KAAK,GAAG,CAAC,CAAC,KAAK,SAAS;AAAA,QACpbb,aAAaA,KAAKjB;AAAA,QAClBiB,eAAeA,KAAK3B;AAAA;AAAA;AAAA,UAGlB4B;AAAA,yBACeC;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASo8F,IAAIn+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ0B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEjgF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIwE,EAAEjJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEK,EAAE8gF,GAAG,CAAC,OAAO,CAAC,EAAExlF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK2E,CAAC,CAAC,CAAC,EAAEF,EAAE27E,GAAG,CAAC,OAAO,CAAC,EAAEv7E,CAAC,EAAE,QAAQ7E,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE5C,EAAE,8BAA8B6E,CAAC,CAAC,SAAS7E,EAAE,mBAAmB,CAACG,CAAC,CAAC,EAAE,CAAC,IAAI0E,EAAE7E,EAAE,SAASG,EAAE,MAAM,EAAEkH,EAAE1Y,GAAGwR,EAAE,MAAMA,EAAE,MAAM0E,CAAC,EAAEC,EAAE42E,GAAG/4E,EAAE0E,EAAE7C,EAAE,CAAC,EAAEC,EAAEzE,EAAE,eAAe4C,EAAEzC,EAAE,MAAM2E,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,IAAIm5F,IAAG,EAAEx5F,EAAE7B,CAAC,EAAE8B,EAAEzE,EAAE,gBAAgB6E,EAAE,CAAC1E,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAIuE,EAAE07E,GAAG,CAAC,OAAO,CAAC,EAAE37E,CAAC,EAAE,QAAQzE,EAAE,MAAM,CAAC,MAAM4C,CAAC,CAAC,CAAC,EAAE,OAAO5C,EAAE,8BAA8ByE,CAAC,EAAEC,CAAC,CAAC,IAAIw5F,IAAG,CAAC,WAAW3yG,GAAG,YAAY,QAAQ,WAAW0yG,GAAG,EAAE,SAASE,IAAIr+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,EAAE,YAAY,EAAE,QAAQ,EAAE,SAAS0B,EAAE,SAASC,EAAE,uBAAuBC,CAAC,EAAE7B,EAAE,CAAC,KAAKsC,EAAE,WAAWC,CAAC,EAAE,EAAEC,EAAE1C,EAAE,SAASwC,EAAE,MAAM,EAAEG,EAAE3C,EAAE,SAASyC,EAAE,MAAM,EAAE,CAACG,EAAEkB,CAAC,EAAE63E,GAAGj5E,EAAEC,EAAExC,EAAE,EAAE,EAAE0B,EAAEC,EAAEC,CAAC,EAAE,MAAM,CAAC/B,EAAE,eAAe,CAAC4C,EAAE,MAAM,EAAE,SAASA,CAAC,EAAE5C,EAAE,eAAeyC,EAAE,MAAM,QAAQqB,CAAC,CAAC,CAAC,CAAC,IAAIs6F,IAAG,CAAC,WAAW5yG,GAAG,YAAY,QAAQ,WAAW2yG,GAAG,EAAE,SAASE,IAAIv+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,UAAUK,CAAC,EAAED,EAAE,CAAC,MAAM,EAAE,UAAU,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO,EAAE,IAAI2B,EAAE7B,EAAE,SAAS,EAAE,MAAM,EAAE8B,EAAE9B,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,EAAE,CAAC+B,EAAES,EAAEC,CAAC,EAAEm5E,GAAG/5E,EAAEC,EAAE3B,CAAC,EAAEuC,EAAEF,EAAE,OAAO,MAAM,CAACxC,EAAE,eAAe,CAAC0C,EAAE,CAAC,EAAE,QAAQX,CAAC,EAAE/B,EAAE,eAAe,CAAC0C,CAAC,EAAE,SAASF,CAAC,EAAExC,EAAE,eAAe,CAAC,CAAC,EAAE,QAAQ,IAAI,WAAWyC,CAAC,CAAC,CAAC,CAAC,CAAC,IAAI67F,IAAG,CAAC,WAAW7yG,GAAG,YAAY,QAAQ,WAAW4yG,GAAG,EAAE,SAASE,IAAIz+F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,WAAWK,CAAC,EAAED,EAAE,CAAC,MAAM,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,SAAS,MAAM,IAAI,MAAM,kCAAkC,EAAE,GAAGC,GAAG,EAAE,MAAM,IAAI,MAAM,sCAAsC,EAAE,IAAI,EAAEH,EAAE,SAAS,EAAE,MAAM,EAAE6B,EAAEg6E,GAAG,EAAE17E,CAAC,EAAE,OAAOH,EAAE,eAAe,EAAE,MAAM,QAAQ6B,CAAC,CAAC,CAAC,IAAI28F,IAAG,CAAC,WAAW9yG,GAAG,YAAY,QAAQ,WAAW6yG,GAAG,EAAME,IAAI,iBAAiBC,IAAIhf,GAAG,CAAC,UAAU+e,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW7yG,GAAG,YAAY,QAAQ,WAAW4yG,GAAG,EAAME,IAAI;AAAA;AAAA;AAAA,EAGr3EC,IAAInf,GAAG,CAAC,UAAUkf,GAAG,CAAC,EAAEE,IAAG,CAAC,WAAW/yG,GAAG,YAAY,QAAQ,WAAW8yG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYr+F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,GAAG,EAAE,IAAI,EAAE,IAAI,MAAMU,EAAE,MAAM,EAAE,QAAQkB,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,EAAElB,EAAEkB,CAAC,EAAE5B,EAAE4B,CAAC,EAAE,KAAK,YAAY,EAAE,KAAK,KAAK,EAAE,OAAO,IAAIzB,EAAE42E,GAAG,KAAK,IAAI,EAAEp1E,EAAEq9F,IAAIt+F,CAAC,EAAE,KAAK,SAAS;AAAA;AAAA,UAElRP;AAAA,yBACewB;AAAA;AAAA,KAEpB,CAAC,EAAE,SAASq9F,IAAIl/F,EAAE,CAAC,IAAI,EAAEA,EAAE,OAAO,GAAG,EAAE,EAAE,MAAM,MAAM,iBAAiB,wBAAwB,EAAE,GAAG,IAAI,EAAE,MAAM,eAAeA,EAAE,CAAC,KAAK,IAAIE,EAAE,CAAC,UAAU,UAAU,UAAU,UAAU,SAAS,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAOK,IAAID,EAAE,KAAK,QAAQF,EAAEG,CAAC,MAAML,EAAEK,CAAC,IAAI,EAAE,OAAOD,EAAE,KAAK,CAAC,CAAC,SAAS++F,GAAGn/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,GAAGC,EAAE,QAAQ,UAAUA,EAAE,MAAM,OAAO,EAAE,CAAC,IAAI2B,EAAE9B,EAAE,SAASG,EAAE,MAAM,EAAE,EAAEA,EAAE,QAAQ,SAAS2B,EAAE,IAAIY,GAAGpE,EAAE,aAAaoE,CAAC,CAAC,EAAEZ,EAAEU,EAAE7T,GAAGwR,EAAE,MAAMA,EAAE,MAAM,CAAC,EAAE,EAAE47E,GAAGv5E,EAAE,CAAC,EAAE,OAAOxC,EAAE,eAAe,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,CAAC,CAAC,IAAI,EAAE,IAAI++F,IAAG5+F,EAAE,MAAM,CAAC,EAAE,OAAOH,EAAE,gBAAgB,EAAE,CAACG,CAAC,EAAEA,EAAE,KAAK,CAAC,CAAC,IAAI++F,IAAG,CAAC,WAAWhzG,GAAG,YAAY,QAAQ,WAAW+yG,EAAE,EAAME,IAAG,KAAK,CAAC,YAAYz+F,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,cAAc,KAAK,OAAO,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,EAAE,CAAC,KAAK,MAAM,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAwCp5B,CAAC,EAAE0+F,IAAG,KAAK,CAAC,YAAY1+F,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,SAAS,EAAE,KAAK,eAAe,CAAC,CAAC,KAAK,IAAI,KAAK,KAAK,EAAE,CAAC,KAAK,YAAY,KAAK,KAAK,EAAE,CAAC,KAAK,IAAI,KAAK,KAAK,CAAC,EAAE,KAAK,YAAYA,EAAE,KAAK,SAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAkC/L,CAAC,EAAE,SAAS2+F,GAAGv/F,EAAE,EAAE,CAAC,IAAI,MAAMA,EAAE,8BAA8B,CAAC,CAAC,CAAC,SAASw/F,GAAGx/F,EAAE,CAAC,IAAI,EAAE,EAAE,KAAK,EAAEA,GAAG,GAAG,EAAE,OAAO,CAAC,CAAC,SAASy/F,IAAIz/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,EAAE,EAAE,OAAO,CAAC,EAAED,EAAE2B,EAAEnQ,EAAE,EAAE,UAAU,0CAA0C,EAAEoQ,EAAEpQ,EAAE,EAAE,UAAU,8BAA8B,EAAEqQ,EAAE5B,EAAE,MAAMqC,EAAET,EAAEA,EAAE,OAAO,CAAC,EAAE,GAAG/B,EAAE,mBAAmB,CAACG,CAAC,CAAC,GAAGqC,EAAEX,GAAG,EAAEC,EAAE,CAAC,IAAIgD,EAAE9E,EAAE,SAASG,EAAE,MAAM,EAAE,CAAC4E,EAAEC,CAAC,EAAEg3E,GAAGl3E,EAAE/C,EAAE5B,EAAE,MAAM,EAAE,CAAC,EAAE,MAAM,CAACH,EAAE,eAAe+E,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,EAAE/E,EAAE,eAAegF,EAAE,MAAMA,EAAE,MAAMA,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,IAAI,EAAE,OAAOjD,EAAEA,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC/B,EAAE,eAAe+B,EAAE5B,EAAE,MAAM,CAAC,CAAC,EAAEH,EAAE,eAAe+B,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAGS,IAAI,EAAE,MAAM,CAACrC,EAAE0tF,GAAG,CAAC,MAAM,CAAC,MAAM9rF,EAAE,MAAM,QAAQ,MAAM,CAAC,EAAE,QAAQ/B,CAAC,CAAC,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,QAAQ,IAAIG,EAAE,MAAM,EAAEuC,EAAED,IAAI,MAAMA,EAAE,SAASE,EAAED,EAAE1C,EAAE,aAAaG,CAAC,EAAEA,EAAE2D,EAAExF,EAAE,cAAcyD,CAAC,EAAES,EAAEuB,EAAEq8E,GAAG,CAAC,OAAO,CAAC,EAAEz9E,CAAC,EAAE,MAAM,CAAC,MAAM,CAACmB,EAAEtB,CAAC,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE0C,GAAG28F,GAAGr/F,EAAE2C,CAAC,EAAE,IAAIyE,EAAEk4F,GAAG,CAAC,EAAE16F,EAAE06F,GAAG98F,CAAC,EAAE+B,EAAE,KAAKC,EAAE,IAAID,IAAI,KAAK,CAACR,EAAEA,CAAC,EAAE,CAACA,EAAEQ,CAAC,EAAEE,EAAE,CAACK,EAAEC,EAAEC,IAAI,CAAC,IAAIC,EAAET,EAAE,EAAEU,EAAE,IAAIi6F,IAAGn6F,CAAC,EAAE8C,EAAE,CAAC,CAACtF,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC,OAAO,iBAAiB,EAAE,CAACO,CAAC,EAAE,CAACC,CAAC,CAAC,EAAEwC,EAAEhD,EAAEA,EAAEvE,EAAE,gBAAgBkF,EAAED,EAAE,QAAQ6C,CAAC,EAAEu3F,GAAGr/F,EAAEuH,CAAC,CAAC,EAAE,QAAQzC,EAAE,EAAEA,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAED,EAAE,EAAE,QAAQE,EAAEF,EAAEE,GAAG,EAAEA,GAAG,EAAEP,EAAEM,EAAEC,EAAE,CAAClB,EAAEc,CAAC,CAAC,CAAC,CAAC,QAAQE,EAAEF,EAAEE,EAAEsC,EAAEtC,GAAG,EAAE,CAAC,IAAIC,EAAEP,EAAE,EAAEQ,EAAE,IAAIo6F,IAAG,CAACt7F,EAAEgB,EAAE,CAAC,CAAC,EAAEI,EAAE,CAAC,CAAC1C,CAAC,EAAE,CAAC+B,IAAI,KAAK,EAAE,CAAC,EAAE,CAAC6C,CAAC,CAAC,EAAEjC,EAAEZ,EAAEA,EAAEvE,EAAE,gBAAgBgF,EAAED,EAAE,QAAQG,CAAC,EAAEm6F,GAAGr/F,EAAEmF,CAAC,EAAE,IAAI2C,EAAEV,EAAE,EAAEG,EAAEO,EAAE,EAAE,QAAQC,EAAED,EAAEC,GAAG,EAAEA,GAAG,EAAEtD,EAAE8C,EAAEQ,EAAExD,EAAE,KAAK,CAAC,CAAC,IAAIG,EAAEH,EAAEA,EAAEohF,GAAG,CAAC,OAAO,CAAC,EAAEphF,CAAC,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAAC8D,EAAE,CAAC,CAAC,CAAC,CAAC,EAAEu7F,GAAGr/F,EAAE0E,CAAC,EAAE,IAAIC,EAAE4qF,GAAG,CAAC,OAAO,CAAC,EAAExrF,EAAE,QAAQQ,CAAC,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAE+D,CAAC,EAAE,IAAIc,EAAE9C,EAAE,MAAM,EAAE,EAAE,EAAE8C,EAAE,KAAK,CAAC,EAAEH,EAAEH,EAAEA,EAAE67E,GAAG,CAAC,OAAO,CAAC,EAAE77E,CAAC,EAAE,MAAM,CAAC,MAAMM,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAE0E,CAAC,EAAE,IAAI2C,EAAE1C,EAAE,OAAOA,EAAEy7E,GAAG,CAAC,OAAO,CAAC,EAAEz7E,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQ7E,CAAC,CAAC,EAAEq/F,GAAGr/F,EAAEqH,CAAC,EAAE,CAAC1C,EAAEJ,CAAC,CAAC,CAAC,IAAIi7F,IAAG,CAAC,WAAWrzG,GAAG,YAAY,QAAQ,WAAWozG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAY/+F,EAAEV,EAAE,EAAEG,EAAEwB,EAAEC,EAAE,CAAC,KAAK,cAAc,CAAC,QAAQ,YAAY,EAAE,KAAK,YAAYA,EAAE,IAAIC,EAAE,IAAI,UAAU,EAAE,EAAEC,EAAE,OAAO3B,EAAE,CAAC,IAAI,WAAW2B,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,KAAK,SAAS;AAAA;AAAA;AAAA,mBAG92DA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiBpB,gCAAgCV;AAAA;AAAA;AAAA,sCAGtC2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBAA;AAAA;AAAA;AAAA;AAAA,mDAIa3B;AAAA,mDACAU;AAAA;AAAA,sBAE7BmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAwBb,CAAC,EAAE,SAAS69F,IAAI5/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,cAAc,EAAE,SAAS0B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE,IAAIq4F,IAAGh9F,EAAEC,EAAE,EAAEb,EAAEC,EAAE,CAAC,EAAE,OAAO9B,EAAE,gBAAgBoH,EAAE,CAACjH,EAAE,CAAC,EAAE,SAAS,CAAC,CAAC,IAAIw/F,IAAG,CAAC,WAAWvzG,GAAG,YAAY,QAAQ,WAAWszG,GAAG,EAAE,SAASE,IAAI9/F,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAEH,EAAE,CAAC,EAAE,CAAC,EAAE,EAAEqvE,GAAG,EAAE,QAAQ,EAAE,QAAQ,KAAK,YAAY,4DAA4D,EAAE,IAAI,EAAEnvE,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,aAAa2B,EAAE,YAAYC,EAAE,QAAQC,CAAC,EAAEm6E,GAAG,EAAE/7E,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,MAAM,CAACD,EAAE,eAAe4B,EAAE,EAAE,MAAMD,CAAC,EAAE3B,EAAE,eAAe,CAAC6B,EAAE,MAAM,EAAE,QAAQA,CAAC,CAAC,CAAC,CAAC,IAAI89F,IAAG,CAAC,WAAWvzG,GAAG,YAAY,QAAQ,WAAWszG,GAAG,EAAE,SAASE,IAAIhgG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE0B,EAAE,EAAE,MAAM,OAAOC,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE,IAAI,MAAMF,EAAE,CAAC,EAAEW,EAAE,EAAE,QAAQsB,EAAE,EAAEA,EAAEjC,EAAEiC,IAAIA,IAAI,IAAI/B,EAAES,GAAG,EAAE,EAAE,MAAMsB,CAAC,GAAG,IAAIrB,EAAE,CAAC,EAAEC,EAAE,IAAI,MAAMb,CAAC,EAAE,KAAK,CAAC,EAAEc,EAAE,EAAE,MAAM,MAAM,EAAEA,EAAE,CAAC,EAAE,EAAE,IAAIC,EAAE,IAAI,MAAMd,CAAC,EAAE,QAAQgC,EAAE,EAAEA,EAAElB,EAAE,OAAOkB,IAAI,CAACpB,EAAE,CAAC,EAAEoB,EAAE,IAAI,EAAE6hF,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ3lF,EAAE,MAAM,CAAC,MAAM0C,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAEyE,EAAEg5E,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQpgF,EAAE,MAAM,CAAC,MAAM+B,CAAC,CAAC,CAAC,EAAEa,EAAEkB,CAAC,EAAEsD,EAAE3E,EAAE,KAAK,CAAC,CAAC,CAAC,OAAOA,EAAE,QAAQqB,GAAG9D,EAAE,8BAA8B8D,CAAC,CAAC,EAAElB,CAAC,CAAC,IAAIm9F,IAAG,CAAC,WAAWxzG,GAAG,YAAY,QAAQ,WAAWuzG,GAAG,EAAME,IAAG,KAAK,CAAC,YAAYt/F,EAAEV,EAAE,CAAC,KAAK,cAAc,CAAC,IAAI,YAAY,EAAE,IAAI,EAAEU,EAAE,WAAWP,EAAEO,EAAE,UAAUiB,EAAEjB,EAAE,OAAOkB,EAAElB,EAAE,YAAYmB,EAAED,EAAE,KAAK,KAAKD,EAAE,CAAC,EAAE,KAAK,YAAY,CAACxB,EAAE0B,CAAC,EAAE,IAAIC,EAAE,MAAM,EAAE,WAAWU,EAAE,KAAK,MAAM,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAEE,EAAE;AAAA;AAAA,MAEh9CC,EAAE,GAAGhB,EAAE,EAAE,IAAIgB,EAAE;AAAA,oCACehB;AAAA;AAAA;AAAA,SAG3B,IAAIiB,EAAE,GAAGjB,EAAE,EAAE,IAAIiB,EAAE;AAAA,oCACQjB;AAAA;AAAA;AAAA,SAG3B,KAAK,SAAS;AAAA,0CACmBG;AAAA;AAAA;AAAA,UAGhCa;AAAA;AAAA;AAAA;AAAA;AAAA,UAKAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASEhB,eAAe;AAAA,wDAC6BA;AAAA;AAAA;AAAA;AAAA,8BAI1BY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlBE;AAAA;AAAA;AAAA,iCAGqBF;AAAA,cACnB,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBNE;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA,qBACS,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAebA;AAAA;AAAA,oBAEQ;AAAA;AAAA,KAEf,CAAC,EAAE,SAASu9F,IAAIngG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,WAAW,CAAC,EAAE,EAAE,CAAC,YAAY,CAAC,EAAED,EAAE2B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,CAAC,EAAEC,EAAE,EAAES,EAAE1U,EAAE,mBAAmB,CAACiU,CAAC,EAAEF,CAAC,EAAEY,EAAEtC,EAAEqC,GAAG,OAAOC,EAAEw+E,GAAG,CAAC,OAAO,CAAC,EAAE9gF,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,KAAKwC,CAAC,CAAC,CAAC,EAAEV,EAAE,KAAKW,CAAC,EAAEV,EAAEjU,EAAE,iBAAiB,EAAE+T,CAAC,EAAE,CAAC,GAAG,IAAIa,EAAE5U,EAAE,aAAa,gBAAgB2U,EAAE,MAAMV,EAAE,CAAC,EAAEY,EAAErE,EAAE,cAAc,CAACmE,EAAE,MAAMV,CAAC,CAAC,CAAC,EAAEa,EAAEw9E,GAAG,CAAC,OAAO,CAAC,EAAE39E,CAAC,EAAE,QAAQzC,EAAE,MAAM,CAAC,MAAM,CAAC,GAAG2C,CAAC,CAAC,CAAC,CAAC,EAAEb,EAAE,KAAKc,CAAC,EAAE,IAAIkB,EAAElH,GAAGuD,EAAE,KAAK,EAAE,EAAE,CAACqE,EAAEC,EAAEC,EAAEC,EAAEE,IAAI,CAAC,IAAIwC,EAAE7C,EAAE,MAAM,CAAC,EAAEM,EAAEN,EAAE,MAAM,CAAC,EAAEO,EAAEjX,EAAE,aAAa,8BAA8BgX,EAAED,CAAC,EAAEG,EAAE,CAAC,WAAWD,EAAE,OAAOD,EAAE,UAAUuC,EAAE,YAAYxC,CAAC,EAAEI,EAAE,IAAI+6F,IAAGh7F,EAAEP,CAAC,EAAES,EAAElF,EAAE,cAAciF,EAAE,CAACT,EAAEE,CAAC,EAAEC,CAAC,EAAE,GAAG7C,EAAE,KAAKoD,CAAC,EAAEA,EAAE,MAAM,CAAC,IAAIL,EAAE,OAAOK,EAAE,IAAIC,EAAEizF,GAAG,CAAC,QAAQp4F,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK6E,EAAE,KAAK,EAAE,MAAM,SAAS,CAAC,CAAC,EAAEiD,EAAEm3F,GAAG,CAAC,OAAO,CAAC,EAAE95F,CAAC,EAAE,QAAQnF,EAAE,MAAM,CAAC,KAAK,CAAC8E,EAAEC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAOjD,EAAE,KAAKqD,CAAC,EAAErD,EAAE,KAAKgG,CAAC,EAAE,EAAE5C,EAAET,EAAEqD,EAAEnD,EAAEE,CAAC,CAAC,EAAEuC,EAAE,EAAExE,EAAE,qBAAqB,EAAEkB,EAAE,CAAC,EAAE,EAAEs8E,GAAG,CAAC,OAAO,CAAC,EAAAh5E,CAAC,EAAE,QAAQpH,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE6B,EAAE,EAAE,GAAG/B,GAAG,KAAK,CAACV,EAAE,KAAK,CAAC,EAAE,IAAI0C,EAAE1W,EAAE,uBAAuB0U,CAAC,EAAE+B,EAAE08E,GAAG,CAAC,OAAO,CAAC18E,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,KAAKwE,CAAC,CAAC,CAAC,CAAC,CAAC,OAAO1C,EAAE,QAAQ0C,GAAGxE,EAAE,8BAA8BwE,CAAC,CAAC,EAAED,CAAC,CAAC,IAAI27F,IAAG,CAAC,WAAW1zG,GAAG,YAAY,QAAQ,WAAWyzG,GAAG,EAAME,IAAI,CAAC7e,GAAGG,GAAGG,GAAGG,GAAGG,GAAGI,GAAGE,GAAGE,GAAGO,GAAGE,GAAGG,GAAGG,GAAGG,GAAGI,GAAGG,GAAGI,GAAGE,GAAGI,GAAGE,GAAGE,GAAGI,GAAGS,GAAGE,GAAGE,GAAGS,GAAGG,GAAGI,GAAGlI,GAAGsI,GAAGS,GAAGS,GAAGM,GAAGE,GAAGE,GAAGE,GAAGE,GAAGG,GAAGG,GAAGG,GAAGO,GAAGE,GAAGE,GAAGG,GAAGI,GAAGI,GAAGE,GAAGG,IAAGG,IAAGE,IAAGI,IAAGI,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGI,IAAGG,IAAGE,IAAGG,IAAGI,IAAGG,IAAGK,IAAGE,IAAGG,IAAGI,IAAGI,IAAGI,IAAGlR,GAAGoR,IAAGvI,GAAG0I,IAAGG,IAAGG,IAAGvR,GAAG2R,IAAGI,IAAGE,IAAGI,IAAGG,IAAGI,IAAGG,IAAGI,IAAGI,IAAGG,IAAGG,IAAGI,IAAGE,IAAGE,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGI,IAAGI,IAAGY,IAAG3V,GAAG+V,IAAGG,IAAGG,IAAGG,IAAGrQ,GAAGwQ,IAAGI,IAAGE,IAAGI,IAAGI,IAAGnY,GAAGqY,IAAGE,IAAGE,IAAGE,IAAGE,IAAG9R,GAAG+O,IAAGkD,IAAGI,IAAGI,IAAG3Y,GAAG+Y,IAAGG,IAAGI,IAAGG,IAAGI,IAAGE,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGG,IAAGI,IAAGG,IAAGG,IAAGG,IAAGvW,GAAG+P,IAAG2G,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGE,IAAGG,IAAGG,IAAGG,IAAGE,IAAGG,IAAGE,IAAGE,IAAGE,IAAG/I,IAAGzU,GAAG2d,IAAGG,IAAGI,IAAGM,IAAGG,IAAGze,GAAG2e,IAAGE,IAAGG,IAAGnJ,GAAE,EAAE,QAAQj3F,KAAKqgG,IAAIjnG,GAAG4G,CAAC,EAAE,IAAIsgG,IAAI,SAAStgG,EAAE,CAACA,EAAEA,EAAE,QAAQ,CAAC,EAAE,UAAUA,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQA,EAAEA,EAAE,KAAK,CAAC,EAAE,OAAOA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,UAAU,CAAC,EAAE,WAAW,GAAGsgG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,IAAI,SAASvgG,EAAE,CAACA,EAAEA,EAAE,OAAO,CAAC,EAAE,SAASA,EAAEA,EAAE,KAAK,CAAC,EAAE,OAAOA,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQA,EAAEA,EAAE,MAAM,CAAC,EAAE,QAAQA,EAAEA,EAAE,UAAU,CAAC,EAAE,YAAYA,EAAEA,EAAE,QAAQ,CAAC,EAAE,UAAUA,EAAEA,EAAE,IAAI,CAAC,EAAE,KAAK,GAAGugG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIzgG,EAAE,CAACwgG,GAAGxgG,EAAE,KAAK,MAAMlT,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4zG,IAAI1gG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,GAAG1B,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,6DAA6D,EAAE,GAAG,CAAC,WAAW2B,EAAE,WAAWC,EAAE,WAAWS,EAAE,eAAeC,CAAC,EAAEvC,EAAEwC,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGwC,EAAE3C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG4C,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAIiC,EAAE7E,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6E,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,uDAAuDA,EAAE,MAAM,SAAS,EAAEjC,EAAEiC,EAAE,EAAE,CAAC,IAAIf,EAAEjC,GAAG,KAAK,EAAE7B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAG,EAAEw+F,GAAG79F,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAI4E,EAAEtF,EAAE3B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE,EAAE4B,EAAE,EAAE,MAAM,CAAC,EAAE,EAAE,MAAM,CAAC,EAAEwC,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAEqE,EAAExE,EAAE,WAAW,CAAC,GAAGuE,EAAE6C,EAAE,CAAC,EAAEjH,EAAE,KAAK,EAAEsE,EAAEzE,EAAE,UAAU,IAAIwE,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWvE,EAAE,KAAK,EAAE,MAAM,EAAEwE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,OAAO27F,GAAG59F,EAAEgC,EAAEvE,EAAE,MAAM,OAAOwC,EAAEgC,EAAE,EAAE,MAAM,OAAO7C,EAAEC,EAAE,EAAEa,EAAEkB,EAAErB,GAAG,EAAEgC,CAAC,EAAED,CAAC,CAAC,IAAIi8F,IAAG,CAAC,WAAW7zG,GAAG,YAAY,OAAO,UAAU2zG,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG5gG,EAAE,EAAE,CAAC,IAAIE,EAAE,SAASE,EAAE,EAAE,CAACF,EAAE,EAAE,KAAK,MAAMF,EAAE,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASK,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE0B,CAAC,CAAC,EAAE,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAWF,EAAE,MAAM,GAAGA,EAAE,KAAK,EAAEW,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,GAAG/B,EAAE8B,EAAEs+F,GAAGv+F,EAAE,KAAK,EAAEW,CAAC,EAAET,CAAC,CAAC,MAAM,CAAC,WAAWjC,EAAE,YAAY,OAAO,UAAUI,EAAE,WAAWC,CAAC,CAAC,CAAC,IAAIwgG,IAAGD,GAAG9gH,EAAE,EAAE,SAASghH,GAAG9gG,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAE,SAASC,EAAE,EAAE,CAACD,EAAE,EAAE,KAAK,MAAMJ,EAAE,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQ+B,EAAE,OAAOC,CAAC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAES,CAAC,EAAEV,EAAEW,EAAEZ,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAGW,EAAEb,EAAE,UAAU,IAAIW,EAAE,MAAM,EAAE,GAAGG,EAAE3C,GAAG,KAAKA,EAAE+B,EAAE,MAAMa,EAAE9U,EAAE,2BAA2BiU,EAAE,MAAMS,EAAE,KAAK,EAAEsB,EAAEjC,EAAE,WAAWe,EAAED,CAAC,EAAE,GAAGrE,EAAE,cAAcsE,CAAC,IAAI,EAAE,OAAOkB,EAAE,IAAI,EAAE,IAAI,WAAW,IAAI,WAAW/B,EAAE,KAAK,EAAE,MAAM,EAAEqF,EAAE,IAAI,WAAW,IAAI,WAAW5E,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEX,EAAE,UAAU,IAAIiC,EAAE,MAAM,EAAE,GAAG,OAAW5D,EAAEuC,EAAE,EAAEV,EAAE,MAAM,OAAOW,EAAE0E,EAAE5E,EAAE,MAAM,OAAO49F,GAAGr+F,EAAE,KAAK,EAAE,CAAC,EAAK+B,CAAC,CAAC,MAAM,CAAC,WAAWhE,EAAE,YAAY,OAAO,UAAUK,EAAE,WAAW,CAAC,CAAC,CAAC,IAAI0gG,IAAI,GAAGC,IAAGF,GAAGzgH,GAAG0gH,GAAG,EAAME,GAAG,SAASC,IAAIlhG,EAAE,CAACihG,GAAGjhG,EAAE,KAAK,MAAM1f,GAAG,KAAK,CAAC,QAAQ,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6gH,IAAInhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,KAAK,EAAE,GAAG1B,EAAE,cAAc4B,EAAE,KAAK,IAAI,EAAE,OAAOA,EAAE,IAAIC,EAAE,EAAE,IAAI0B,GAAG7B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,EAAE,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW1B,CAAC,EAAE,MAAM,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,OAAO6gG,GAAG,EAAE5gG,EAAE,OAAOigG,GAAGlgG,EAAE,KAAK,EAAE,CAAC,EAAEA,CAAC,CAAC,IAAIghG,IAAG,CAAC,WAAW9gH,GAAG,YAAY,OAAO,UAAU4gH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGrhG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAE,GAAG,EAAE,QAAQ,SAAS,OAAO/C,GAAGiD,EAAE,SAAS,EAAE,MAAM,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,IAAIE,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEG,EAAEH,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,IAAIC,CAAC,EAAED,CAAC,CAAC,IAAIkhG,IAAG,CAAC,WAAWl8G,GAAG,YAAY,OAAO,WAAWi8G,EAAE,EAAME,GAAG,SAASC,IAAIxhG,EAAE,CAACuhG,GAAGvhG,EAAE,KAAK,MAAMzT,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASk1G,GAAGzhG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAACK,EAAE,CAAC,EAAEqhG,IAAI,EAAE,EAAE,MAAMthG,EAAE,IAAI,EAAE,EAAE,GAAG,QAAQ0C,EAAE,EAAEA,EAAE,EAAE,OAAOA,IAAI,EAAEA,CAAC,IAAIA,IAAI,EAAE,IAAI,IAAIf,EAAE4/F,IAAI,EAAE,EAAE,MAAMvhG,EAAE,IAAI,EAAE4B,EAAE,CAAC,OAAO,EAAE,EAAE,OAAO,MAAM3B,EAAE,MAAM,EAAE,EAAE,KAAK,EAAE,GAAG,EAAE,CAAC,IAAIyC,EAAEu+F,GAAG,CAAC,OAAO,EAAE,QAAQnhG,CAAC,CAAC,EAAE,OAAO4C,EAAE,MAAMf,EAAEe,CAAC,CAAC,IAAIb,EAAE/B,EAAE,WAAW6B,EAAEC,EAAE,KAAK,EAAEU,EAAExC,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAGW,EAAEzC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWb,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOu/F,GAAG7+F,EAAEG,EAAEb,EAAE,MAAM,OAAOs+F,GAAGt+F,EAAE,KAAK,EAAEW,EAAEC,EAAE,EAAE,MAAM,EAAEX,CAAC,CAAC,SAAS0/F,IAAI3hG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,MAAMF,EAAE,MAAM,EAAE,QAAQI,EAAE,EAAEA,EAAEF,EAAE,OAAOE,IAAIF,EAAEE,CAAC,EAAEJ,EAAE,EAAEI,CAAC,CAAC,EAAE,OAAOF,CAAC,CAAC,SAASwhG,IAAI1hG,EAAE,EAAE,CAAC,IAAIE,EAAE,CAAC,EAAEE,EAAE,CAAC,EAAE,QAAQC,EAAE,EAAEA,EAAEL,EAAE,OAAO,EAAEK,EAAEL,EAAEK,CAAC,IAAI,GAAGH,EAAE,KAAKF,EAAEK,CAAC,CAAC,EAAEL,EAAE,EAAEK,CAAC,CAAC,IAAI,GAAGD,EAAE,KAAK,EAAEC,CAAC,CAAC,EAAE,QAAQA,EAAE,EAAEA,EAAED,EAAE,OAAO,EAAEC,EAAE,CAAC,IAAI,EAAE,GAAG,QAAQ,EAAE,EAAE,EAAED,EAAE,OAAO,EAAE,EAAEA,EAAE,CAAC,GAAGC,IAAI,IAAI,IAAID,EAAE,CAAC,EAAEA,EAAE,CAAC,KAAK,EAAE,GAAGA,EAAE,CAAC,EAAEC,CAAC,CAAC,MAAM,CAACH,EAAEE,CAAC,CAAC,CAAC,IAAIwhG,IAAG,CAAC,WAAWr1G,GAAG,YAAY,OAAO,WAAWk1G,GAAG,UAAUD,GAAG,EAAE,SAASK,GAAG7hG,EAAE,EAAEE,EAAE,CAAC,IAAIE,EAAEJ,EAAE,MAAMK,EAAEL,EAAE,MAAM,OAAO,EAAExB,EAAE,eAAe,EAAE4B,CAAC,EAAE,EAAE,EAAE2B,EAAE/T,EAAE,mBAAmB,EAAEqS,CAAC,EAAE2B,EAAE,KAAKC,EAAE,GAAG,GAAGF,GAAG,KAAK,CAAC,IAAIW,EAAE,IAAI,MAAMrC,CAAC,EAAE,QAAQwC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIH,EAAEG,CAAC,EAAEzC,EAAE2B,EAAEc,CAAC,CAAC,EAAE,EAAE7U,EAAE,iBAAiB,EAAE,OAAOqS,CAAC,EAAE2B,EAAEy/F,GAAG,CAAC,OAAO,CAAC,EAAEzhG,CAAC,EAAE,MAAM,CAAC,KAAK+B,CAAC,EAAE,QAAQ7B,CAAC,CAAC,EAAE,IAAIyC,EAAEzC,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGE,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,KAAKW,IAAIV,EAAE,GAAG,CAAC,MAAM,CAAC,WAAWD,EAAE,aAAa,EAAE,KAAK,EAAE,mBAAmBC,CAAC,CAAC,CAAC,IAAI6/F,GAAG,SAASC,IAAI/hG,EAAE,CAAC8hG,GAAG9hG,EAAE,KAAK,MAAMzf,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASyhH,IAAIhiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGg9F,GAAG9/F,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIm9F,IAAG,CAAC,WAAW1hH,GAAG,YAAY,OAAO,UAAUwhH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIniG,EAAE,CAACkiG,GAAGliG,EAAE,KAAK,MAAMxf,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAAS4hH,IAAIpiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAGo9F,GAAGlgG,EAAEsF,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIu9F,IAAG,CAAC,WAAW7hH,GAAG,YAAY,OAAO,UAAU2hH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIviG,EAAE,CAACsiG,GAAGtiG,EAAE,KAAK,MAAMvf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS+hH,IAAIxiG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE,EAAEC,EAAE,EAAE,CAAC,WAAWC,EAAE,KAAKS,EAAE,mBAAmBC,CAAC,EAAEk/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGsC,EAAE,CAAC,IAAI2E,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAGqF,IAAI,IAAItF,EAAEC,EAAEF,EAAEuF,EAAE,CAAC,IAAI1E,EAAEZ,EAAE,MAAM,MAAM,EAAE,EAAE,EAAEa,EAAE,EAAE,WAAWD,EAAE,OAAO,EAAEE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAExF,EAAE,cAAcqE,EAAE,KAAK,EAAE,EAAEb,EAAE,MAAMU,EAAE,CAAC,CAAC,EAAE,OAAO4/F,GAAGvgG,EAAEu+F,GAAGt+F,EAAE,KAAK,EAAEgC,EAAE,EAAElB,CAAC,EAAEH,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAEY,CAAC,CAAC,IAAI4/F,IAAG,CAAC,WAAWhiH,GAAG,YAAY,OAAO,WAAW+hH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI3iG,EAAE,CAAC0iG,GAAG1iG,EAAE,KAAK,MAAMhf,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4hH,IAAI5iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE/B,EAAEwC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK4E,EAAE5E,EAAE,aAAa,EAAEA,EAAE,YAAY+B,EAAE/B,EAAE,WAAW,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,GAAGA,EAAE,gBAAgB,GAAGA,EAAE,iBAAiB,EAAE,MAAM,IAAI,MAAM,0EAA0EA,EAAE,mBAAmBA,EAAE,iBAAiB,EAAE,IAAIgC,EAAEtE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEiC,EAAEvE,EAAE,UAAU,IAAIsE,EAAE,MAAM,EAAE,GAAG,OAAOg+F,GAAG,EAAEriG,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIm+F,IAAG,CAAC,WAAW7hH,GAAG,YAAY,OAAO,UAAU2hH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAG9iG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,EAAEI,CAAC,EAAE,EAAE,CAAC,MAAMC,CAAC,EAAEH,EAAE,EAAE1B,EAAE,cAAc4B,EAAE,KAAK,EAAE,EAAE5B,EAAE,uBAAuB6B,EAAE,CAAC,EAAE,OAAO7B,EAAE,OAAO,IAAIA,EAAE,cAAc,CAAC,EAAE,IAAI,cAAc,iBAAiB4B,EAAE,uEAAuE,EAAEJ,EAAE,QAAQ,OAAOI,EAAE,MAAM,EAAE,CAAC,OAAOA,EAAE,OAAO,MAAM,EAAE,MAAMA,EAAE,KAAK,CAAC,CAAC,IAAI2iG,IAAG,CAAC,WAAWv5G,GAAG,YAAY,OAAO,WAAWs5G,EAAE,EAAME,GAAG,SAASC,IAAIjjG,EAAE,CAACgjG,GAAGhjG,EAAE,KAAK,MAAM3e,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6hH,IAAIljG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,EAAE,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,WAAW0B,CAAC,EAAE3B,EAAE,GAAGC,EAAE,QAAQ,WAAW,EAAE,QAAQ,UAAU,MAAM,IAAI,MAAM,4DAA4D,EAAE,IAAI2B,EAAE3B,EAAE,MAAM,OAAO4B,EAAE,EAAE,MAAM,OAAOS,EAAE,EAAErC,EAAE,MAAM2B,EAAE,CAAC,EAAE3B,EAAE,MAAM2B,EAAE,CAAC,EAAEW,EAAEZ,EAAE,EAAE,MAAME,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEW,EAAE,EAAEvC,EAAE,MAAM2B,EAAE,CAAC,EAAE3B,EAAE,MAAM2B,EAAE,CAAC,EAAEa,EAAEd,EAAE,EAAE,MAAME,EAAE,CAAC,EAAE,EAAE,MAAMA,EAAE,CAAC,EAAEa,EAAEzC,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE2D,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAExF,EAAE,cAAcsE,CAAC,EAAEwE,EAAE9I,EAAE,cAAcwF,CAAC,EAAES,EAAE9V,GAAG,2BAA2B0R,EAAE,MAAM,MAAM,EAAE,EAAE,EAAE,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAE,OAAO,CAACuC,EAAEC,CAAC,CAAC,EAAErE,EAAE,OAAOkE,IAAIC,EAAE,IAAI,kCAAkCD,WAAWC,6BAA6BtC,EAAE,aAAa,EAAE,wBAAwB,oBAAoB0B,eAAe,EAAE,IAAI2C,EAAE,EAAE,CAAC,EAAEhC,EAAEE,CAAC,EAAE,CAAC,EAAEA,EAAEF,CAAC,EAAEiC,EAAE5C,EAAE,CAACuF,EAAEzE,EAAEF,CAAC,EAAE,CAAC2E,EAAE3E,EAAEE,CAAC,EAAE+B,EAAEk+F,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAMwE,CAAC,CAAC,CAAC,EAAEG,EAAEi+F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQ5iG,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,EAAEI,EAAE7E,EAAE,UAAU,IAAI0E,EAAE,MAAM,EAAE,GAAG2C,EAAErH,EAAE,UAAU,IAAI2E,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAEJ,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAElD,EAAE8C,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEK,EAAE,KAAK,IAAI,EAAEoC,CAAC,EAAEnC,EAAEjF,EAAE,WAAW,CAACgF,EAAEF,EAAEC,CAAC,EAAEL,EAAE,KAAK,EAAEQ,EAAElF,EAAE,UAAU,IAAIiF,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAWT,EAAE,KAAK,EAAE,MAAM,EAAEoD,EAAE,IAAI,WAAW,IAAI,WAAWnD,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOm+F,GAAGj+F,EAAEM,EAAET,EAAE,MAAM,OAAO2C,EAAES,EAAEnD,EAAE,MAAM,OAAO,EAAE9C,EAAEqD,CAAC,EAAElF,EAAE,YAAY0E,EAAE,MAAM,EAAE1E,EAAE,YAAY2E,EAAE,MAAM,EAAEM,EAAE,MAAMV,EAAEU,CAAC,CAAC,IAAIg+F,IAAG,CAAC,WAAW9hH,GAAG,YAAY,OAAO,UAAU4hH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGpjG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,EAAE,KAAKE,CAAC,EAAE,QAAQC,CAAC,EAAEL,EAAE,CAAC,EAAE,CAAC,EAAEpE,GAAG,iBAAiB,EAAEsE,EAAEE,CAAC,EAAE2B,EAAEnG,GAAG,iBAAiB,EAAE,MAAM,EAAE,CAAC,EAAEoG,EAAE3B,EAAE,SAAS,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAEqC,EAAElE,EAAE,eAAe,EAAE,KAAK,EAAEmE,EAAEtC,EAAE,UAAU,IAAI4B,EAAE,MAAM,EAAE,GAAGF,EAAE,CAAC,IAAIe,EAAElH,GAAG,kBAAkB,EAAE8G,CAAC,EAAE,OAAO,EAAE,QAAQ,SAASC,EAAE,YAAYX,EAAE,MAAMc,EAAEA,EAAEtE,EAAE,cAAc,CAAC,CAAC,EAAE6B,EAAE,mBAAmB4B,CAAC,EAAE,IAAID,EAAE,SAASc,EAAEA,EAAEtE,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEyD,CAAC,CAAC,GAAG,EAAE,QAAQ,SAAS,CAAC,IAAIa,EAAEyyD,GAAGvzD,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOW,EAAE,YAAYG,EAAEb,CAAC,CAAC,IAAIW,EAAEvC,EAAE,mBAAmB4B,CAAC,EAAEY,EAAE,EAAE,MAAM,OAAO,GAAGA,IAAI,EAAEwgG,IAAIrhG,EAAEU,EAAE,CAAC,EAAEE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAEygG,IAAIthG,EAAEU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEE,EAAE,EAAE,CAAC,UAAUC,IAAI,EAAE0gG,IAAIvhG,EAAEU,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEE,EAAE,EAAE,CAAC,MAAM,CAAC,IAAIE,EAAEyyD,GAAGvzD,EAAE,EAAE,EAAE,EAAE,MAAM,EAAE,KAAK,EAAEY,EAAE,IAAIE,CAAC,CAAC,CAAC,OAAOb,CAAC,CAAC,SAASohG,IAAIrjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,CAAC,IAAI,EAAE,EAAE,EAAED,EAAE,CAAC,EAAE2B,EAAE3B,EAAE,CAAC,EAAE4B,EAAE,EAAE3B,EAAE,CAAC,EAAE,QAAQ4B,EAAE,EAAEA,EAAED,EAAEC,IAAI,CAAC,IAAIS,EAAET,EAAE,EAAEF,EAAE7B,EAAE,IAAIF,EAAE,SAAS0C,EAAEA,EAAErC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,GAAGA,EAAE,CAAC,CAAC,CAAC,CAAC,SAASijG,IAAItjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,CAAC,IAAI,EAAE,EAAE0B,EAAE1B,EAAE,CAAC,EAAE2B,EAAE3B,EAAE,CAAC,EAAE4B,EAAE5B,EAAE,CAAC,EAAEqC,EAAEX,EAAE,EAAE,CAAC,EAAEY,EAAEX,EAAE,EAAE,CAAC,EAAE,QAAQY,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,QAAQC,EAAEb,EAAEa,EAAEF,EAAEE,IAAI,CAAC,IAAIC,EAAEF,EAAE,EAAEC,EAAE3C,EAAE+B,EAAE7B,EAAE,IAAIJ,EAAE,SAAS8C,EAAEA,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,SAASygG,IAAIvjG,EAAE,EAAEE,EAAEE,EAAEC,EAAE,EAAE,EAAE,CAAC,IAAI0B,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAEC,EAAE,EAAE,CAAC,EAAES,EAAE,EAAE,CAAC,EAAEC,EAAEX,EAAE,EAAE,CAAC,EAAEY,EAAEX,EAAE,EAAE,CAAC,EAAEY,EAAEH,EAAE,EAAE,CAAC,EAAEI,EAAE,EAAE,CAAC,EAAE,QAAQkB,EAAEhC,EAAEgC,EAAErB,EAAEqB,IAAI,QAAQ,EAAE/B,EAAE,EAAEW,EAAE,IAAI,QAAQ0E,EAAE5E,EAAE4E,EAAEzE,EAAEyE,IAAI,CAAC,IAAI,EAAEtD,EAAE,EAAE,EAAE9D,EAAEoH,EAAElH,EAAE0C,EAAEzC,EAAE,IAAIL,EAAE,SAAS,EAAE,EAAE,EAAE,CAAC,CAAC,EAAE+B,CAAC,EAAEA,GAAG,EAAE,CAAC,CAAC,CAAC,CAAC,IAAIyhG,IAAG,CAAC,WAAW74G,GAAG,YAAY,OAAO,WAAWy4G,EAAE,EAAE,SAASK,IAAIzjG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,MAAM,CAAC,EAAED,EAAE2B,EAAE,EAAE,OAAO,CAACuF,EAAE,IAAIA,EAAE,CAAC,EAAEtF,EAAEhU,EAAE,YAAYqS,EAAE,MAAM,EAAE0B,CAAC,EAAEE,EAAEjU,EAAE,YAAYgU,EAAE,OAAO,EAAE,MAAM,EAAEU,EAAE1U,EAAE,oBAAoBqS,EAAE,MAAM,EAAE0B,CAAC,EAAEY,EAAE3U,EAAE,oBAAoB,EAAE,EAAE,MAAM,EAAE4U,EAAE5U,EAAE,aAAa0U,EAAE,EAAE,EAAE,MAAM,EAAEG,EAAEigG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,MAAM8B,CAAC,CAAC,CAAC,EAAEc,EAAE2+F,GAAG,CAAC,OAAO,CAAC,EAAE5+F,CAAC,EAAE,QAAQ3C,EAAE,MAAM,CAAC,KAAK+B,CAAC,CAAC,CAAC,EAAE+B,EAAE8+F,GAAG,CAAC,OAAO,CAAC,EAAEhgG,CAAC,EAAE,QAAQ5C,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAE,EAAE0gG,GAAG,CAAC,OAAO,CAAC,EAAEp/F,CAAC,EAAE,QAAQ9D,EAAE,MAAM,CAAC,MAAMyC,EAAE,KAAKC,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,YAAY2C,EAAE,MAAM,EAAE3C,EAAE,YAAY4C,EAAE,MAAM,EAAE5C,EAAE,YAAY2C,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI6gG,IAAG,CAAC,WAAWpiH,GAAG,YAAY,OAAO,WAAWmiH,GAAG,EAAE,SAASE,GAAG3jG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAED,EAAE,WAAW,EAAE,MAAMF,CAAC,EAAE,EAAEE,EAAE,mBAAmB,CAAC,EAAE,OAAOA,EAAE,mBAAmBC,CAAC,EAAE,IAAI,CAAC,EAAEA,CAAC,CAAC,IAAIujG,IAAG,CAAC,WAAWhiH,GAAG,YAAY,OAAO,WAAW+hH,EAAE,EAAME,IAAGjD,GAAG/+G,EAAE,EAAMiiH,GAAG,SAASC,IAAI/jG,EAAE,CAAC8jG,GAAG9jG,EAAE,KAAK,MAAMle,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkiH,IAAIhkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,aAAa,EAAE,aAAa,CAAC,EAAED,EAAE2B,EAAE7B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG2B,EAAE9B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAG,OAAO8hG,GAAG/hG,EAAE,EAAE,EAAEE,CAAC,EAAED,CAAC,CAAC,IAAIiiG,IAAG,CAAC,WAAWniH,GAAG,YAAY,OAAO,UAAUiiH,IAAI,WAAWC,GAAG,EAAE,SAASE,GAAGlkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAE5B,EAAE,eAAewB,EAAE,MAAM,KAAK,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,EAAEK,EAAE,EAAE,IAAIwC,GAAGA,EAAE,KAAK,EAAE7U,EAAE,uBAAuBqS,EAAED,CAAC,EAAE,IAAI,EAAEpS,EAAE,gBAAgB,EAAE,IAAI6U,GAAGA,EAAE,KAAK,EAAEzC,CAAC,EAAE,EAAE,EAAE,OAAOyC,GAAGrE,EAAE,cAAcqE,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOw+F,GAAG,CAAC,OAAO,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,QAAQnhG,CAAC,CAAC,EAAE,IAAI6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,CAAC,EAAE,KAAK,EAAE,GAAG1B,EAAE,cAAc,CAAC,IAAI,EAAE,OAAOuD,EAAE,GAAG,EAAE,CAAC,EAAE,QAAQ,SAAS,CAAC,IAAIc,EAAE,EAAE,IAAI4B,GAAG,CAAC,IAAIE,EAAE,CAAC,GAAGnG,EAAE,cAAciG,EAAE,MAAM,MAAMrE,CAAC,CAAC,CAAC,EAAE,OAAO0iG,GAAG,CAAC,OAAO,CAACr+F,CAAG,EAAE,QAAQvE,EAAE,MAAM,CAAC,MAAMyE,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE7B,EAAED,EAAE,IAAI4B,IAAI,CAAC,KAAKvE,EAAE,SAASuE,EAAE,MAAM,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAEzW,EAAE,gBAAgB6U,EAAE,IAAI4B,GAAGA,EAAE,KAAK,EAAE,CAAC,EAAE,IAAIT,EAAEnB,EAAE,CAAC,EAAE,MAAM,CAAC,IAAI,EAAE,EAAE8wD,GAAG7wD,EAAE,EAAE,EAAE,CAAC,EAAE,MAAMkB,CAAC,EAAEsD,EAAEtZ,EAAE,gBAAgB,EAAE,IAAIyW,GAAGA,EAAE,KAAK,EAAErE,CAAC,EAAE2B,EAAE,MAAMuF,EAAE,IAAI,EAAEpH,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,OAAO,EAAE,YAAY/T,EAAE,uBAAuB,CAAC,EAAE6U,EAAE,QAAQ4B,GAAGvE,EAAE,YAAYuE,EAAE,MAAM,CAAC,EAAE1C,CAAC,CAAC,IAAIC,EAAExD,EAAE,cAAc,EAAE,CAAC,EAAE,MAAM,MAAM,EAAE4B,CAAC,CAAC,EAAE6B,EAAE,EAAES,EAAE,EAAE,IAAIG,GAAG,CAAC,IAAIC,EAAEtE,EAAE,cAAcqE,EAAE,MAAM,MAAMzC,CAAC,CAAC,EAAE,OAAO6B,GAAGa,EAAEA,CAAC,CAAC,EAAEH,EAAE,EAAE,IAAIE,GAAG3C,EAAE,mBAAmB2C,CAAC,CAAC,EAAED,EAAE1C,EAAE,mBAAmB6B,CAAC,EAAE,QAAQc,EAAE,EAAEA,EAAEb,EAAEa,IAAI,CAAC,IAAIC,EAAED,EAAEZ,EAAE,QAAQ+B,EAAE,EAAEA,EAAErB,EAAE,OAAOqB,IAAI,CAAC,IAAI,EAAEtB,EAAEsB,CAAC,EAAEsD,EAAEzE,EAAE,EAAE,EAAEF,EAAEqB,CAAC,EAAE,SAASsD,EAAEA,EAAE,CAAC,EAAE1E,EAAE,IAAI,EAAEE,CAAC,EAAEA,GAAG,CAAC,CAAC,CAAC,OAAOf,CAAC,CAAC,IAAIoiG,IAAG,CAAC,WAAWliH,GAAG,YAAY,OAAO,WAAWiiH,EAAE,EAAME,GAAG,SAASC,IAAIrkG,EAAE,CAACokG,GAAGpkG,EAAE,KAAK,MAAM9d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASoiH,IAAItkG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,EAAE,WAAWC,CAAC,EAAE1C,EAAE2C,EAAE7U,EAAE,wBAAwB4U,CAAC,EAAEE,EAAE9U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEC,EAAES,EAAEC,EAAE,GAAGE,CAAC,EAAEmB,EAAElB,EAAE,aAAa,EAAEA,EAAE,YAAYwE,EAAExE,EAAE,QAAQ,IAAI,EAAEA,EAAE,QAAQ,MAAM2B,EAAE3B,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAaiC,EAAEjC,EAAE,YAAYyE,EAAEzE,EAAE,WAAWkC,EAAElC,EAAE,YAAYmC,EAAEnC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,oDAAoDA,EAAE,yCAAyC,EAAE,IAAIoC,EAAE9E,EAAE,WAAW0C,EAAE,SAAS,SAAS,EAAEqC,EAAE/E,EAAE,UAAU,IAAI8E,EAAE,MAAM,EAAE,GAAG,OAAOk/F,GAAG,EAAE/jG,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE0B,EAAEiC,EAAE,EAAEsD,EAAE,EAAE7C,EAAEC,EAAEO,EAAEN,EAAEC,EAAEC,EAAEE,EAAEwC,EAAEvC,EAAEG,CAAC,EAAED,CAAC,CAAC,IAAIq/F,IAAG,CAAC,WAAWriH,GAAG,YAAY,OAAO,UAAUmiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIzkG,EAAE,CAACwkG,GAAGxkG,EAAE,KAAK,MAAM5d,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsiH,IAAI1kG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,GAAGK,EAAE,OAAO,CAAC,EAAEH,EAAE,CAAC,QAAQ,EAAE,IAAI6B,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWS,CAAC,EAAEtC,EAAEuC,EAAE,EAAEC,EAAE5U,EAAE,wBAAwBgU,CAAC,EAAEa,EAAE7U,EAAE,kBAAkB0U,EAAE,EAAE,MAAM,EAAEC,EAAEZ,EAAEE,EAAE,GAAGW,CAAC,EAAE,CAAC,UAAUE,EAAE,aAAakB,EAAE,YAAY,EAAE,WAAWsD,EAAE,SAAS,EAAE,QAAQ7C,EAAE,YAAYC,EAAE,UAAUC,EAAE,SAASC,EAAE,aAAaC,EAAE,YAAYE,CAAC,EAAElC,EAAE0E,EAAEvD,EAAE,EAAEnB,EAAE,QAAQ,IAAImC,EAAE,EAAE,EAAEnC,EAAE,QAAQ,KAAKoC,EAAEpC,EAAE,aAAa,eAAeqC,EAAE1G,EAAE,eAAeqE,EAAE,OAAO,EAAEsC,EAAE3G,EAAE,eAAe6B,EAAE,KAAK,EAAE,CAAC+E,EAAEC,EAAE2C,CAAC,EAAExJ,EAAE,eAAe,EAAE,KAAK,EAAEiJ,EAAEvC,EAAE,CAAC,EAAE+C,EAAEhD,EAAEC,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEgD,EAAGjD,EAAEC,EAAE,CAAC,EAAE,EAAEiD,EAAGlD,EAAE,EAAEC,EAAE,CAAC,EAAEkD,GAAGjD,EAAE,CAAC,EAAEkD,GAAGpD,EAAEE,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEmD,GAAGrD,EAAEE,EAAE,CAAC,EAAE,EAAEuB,GAAGzB,EAAE,EAAEE,EAAE,CAAC,EAAEqD,GAAG,EAAE,WAAW3F,EAAE,QAAQ,SAAS,EAAE4F,GAAG,EAAE,UAAU,IAAID,GAAG,MAAM,EAAE,GAAGE,GAAG,EAAE,UAAU,IAAIrI,EAAE,MAAM,EAAE,GAAGsI,GAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO67F,GAAG97F,GAAGC,GAAG7F,EAAEkB,EAAE,EAAE,EAAES,EAAE6C,EAAE3C,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEI,EAAEC,EAAE2C,EAAEP,EAAEQ,EAAEC,EAAGC,EAAGC,GAAGC,GAAGC,GAAG5B,GAAG+B,EAAE,EAAED,EAAE,CAAC,IAAIm8F,IAAG,CAAC,WAAWviH,GAAG,YAAY,OAAO,UAAUqiH,IAAI,WAAWC,GAAG,EAAME,IAAGhE,GAAGp+G,EAAE,EAAMqiH,IAAGjE,GAAGn+G,EAAE,EAAMqiH,IAAI,SAAS9kG,EAAE,CAACA,EAAEA,EAAE,SAAS,CAAC,EAAE,WAAWA,EAAEA,EAAE,QAAQ,CAAC,EAAE,SAAS,GAAG8kG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIhlG,EAAE,CAAC+kG,GAAG/kG,EAAE,KAAK,MAAMtd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASuiH,IAAIjlG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,EAAE,mBAAmB,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,MAAMC,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAEV,EAAE,MAAM,CAAC,EAAE,CAACW,EAAEC,CAAC,EAAE,EAAEC,EAAE,CAACH,EAAEC,EAAEC,EAAEb,EAAE,MAAM,CAAC,CAAC,EAAEe,EAAE,EAAE,UAAU,IAAIf,EAAE,MAAM,EAAEiC,EAAEjC,EAAE,QAAQ,YAAYiC,EAAE2/F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE5hG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAEe,EAAE,EAAE,UAAU,IAAIkB,EAAE,MAAM,GAAG,IAAI,EAAElB,EAAE,GAAGwE,EAAE,EAAE,UAAU,IAAItF,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,WAAW5B,EAAE,SAAS,EAAE6B,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW5C,EAAE,KAAK,EAAE,MAAM,EAAE,OAAOgjG,GAAG,EAAEz9F,EAAE,EAAE5E,EAAEiC,EAAEhC,EAAEC,EAAEkiG,GAAGzkG,CAAC,EAAE,EAAEqE,CAAC,EAAEV,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAES,CAAC,CAAC,IAAIygG,IAAG,CAAC,WAAWxiH,GAAG,YAAY,OAAO,UAAUsiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIplG,EAAE,CAACmlG,GAAGnlG,EAAE,KAAK,MAAMrd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0iH,IAAIrlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAO7B,EAAE,OAAO6B,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,4BAA4BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEjU,EAAE,mBAAmB,CAAC,CAAC,EAAEgU,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEphG,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,GAAG,IAAIyC,EAAE3U,EAAE,iBAAiB,EAAEgU,CAAC,EAAE,CAAC,EAAEhU,EAAE,2BAA2B,UAAU,CAAC2U,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE1C,EAAE,WAAWwC,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,CAAC,EAAEG,EAAE5C,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAGsB,EAAE9D,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAGuiG,GAAGriG,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEs8F,GAAGjgG,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIqF,EAAEtZ,EAAE,uBAAuBiU,CAAC,EAAE,EAAEw/F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,MAAM,CAAC,KAAK0E,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,YAAYwC,EAAE,MAAM,EAAExC,EAAE,YAAY0C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI0iG,IAAG,CAAC,WAAW3iH,GAAG,YAAY,OAAO,UAAUyiH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxlG,EAAE,CAACulG,GAAGvlG,EAAE,KAAK,MAAMpd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6iH,IAAIzlG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,EAAE,UAAU,EAAE,QAAQ0B,CAAC,EAAE3B,EAAE4B,EAAE3B,EAAE,MAAM,OAAO7B,EAAE,OAAO6B,EAAE,QAAQ,WAAWA,EAAE,QAAQ,QAAQ,IAAI,2BAA2BA,EAAE,mCAAmC,EAAE,IAAI4B,EAAEjU,EAAE,mBAAmB,CAAC,CAAC,EAAEgU,CAAC,EAAEU,EAAErC,EAAE4B,IAAI,OAAOS,EAAE++F,GAAG,CAAC,OAAO,CAAC,EAAEphG,CAAC,EAAE,MAAM,CAAC,KAAK4B,CAAC,EAAE,QAAQ/B,CAAC,CAAC,GAAG,IAAIyC,EAAE3U,EAAE,iBAAiB,EAAEgU,CAAC,EAAE,CAAC,EAAEhU,EAAE,2BAA2B,SAAS,CAAC2U,CAAC,EAAEX,CAAC,EAAE,IAAIY,EAAE1C,EAAE,WAAWwC,EAAE,MAAMA,EAAE,KAAK,EAAEG,EAAEH,EAAE,MAAMC,CAAC,EAAEG,EAAE5C,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAGsB,EAAE9D,EAAE,UAAU,IAAI0C,EAAE,MAAM,EAAE,GAAG2iG,GAAGziG,EAAE,EAAE,EAAE,EAAEf,EAAE,EAAE,EAAEc,EAAEmB,EAAEs8F,GAAGjgG,EAAE,KAAK,CAAC,EAAE,IAAI,EAAEuC,EAAE,GAAGX,IAAI,KAAK,CAAC,IAAIqF,EAAEtZ,EAAE,uBAAuBiU,CAAC,EAAE,EAAEw/F,GAAG,CAAC,OAAO,CAAC,EAAE7+F,CAAC,EAAE,MAAM,CAAC,KAAK0E,CAAC,EAAE,QAAQpH,CAAC,CAAC,EAAEA,EAAE,YAAYwC,EAAE,MAAM,EAAExC,EAAE,YAAY0C,EAAE,MAAM,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI8iG,IAAG,CAAC,WAAW9iH,GAAG,YAAY,OAAO,UAAU4iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5lG,EAAE,CAAC2lG,GAAG3lG,EAAE,KAAK,MAAMhd,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6iH,IAAI7lG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAEH,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,EAAEE,EAAE2B,EAAE1B,EAAE,MAAM,CAAC,EAAE2B,EAAE,IAAI,OAAO3B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE4B,EAAE,IAAI,OAAO5B,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEqC,EAAE,IAAI,OAAOrC,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEsC,EAAEX,EAAE,EAAEY,EAAEX,EAAE,EAAEY,EAAEH,GAAG,EAAE,GAAGI,EAAE,IAAI,OAAO,CAACf,EAAEY,EAAEC,EAAEC,CAAC,EAAE,CAACd,EAAEc,EAAEF,EAAEC,CAAC,EAAEoB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAEwE,EAAE,EAAE,UAAU,IAAIjH,EAAE,MAAM,EAAE,GAAGyE,EAAE,IAAI,WAAW,IAAI,WAAWtG,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEoE,EAAE,IAAI,WAAW,IAAI,WAAW3B,CAAC,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWlG,EAAE,eAAesE,CAAC,CAAC,EAAE,MAAM,EAAE6B,EAAE,EAAE,UAAU,IAAIX,EAAE,MAAM,EAAE,GAAG,OAAO2hG,GAAGr+F,EAAE,EAAE,IAAI,OAAO,EAAE,EAAExC,EAAEzE,EAAE,MAAM,OAAO,EAAEoE,EAAEC,EAAE5B,EAAE,OAAO6B,CAAC,EAAEX,CAAC,CAAC,IAAI8hG,IAAG,CAAC,WAAW9iH,GAAG,YAAY,OAAO,UAAU4iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIhmG,EAAE,CAAC+lG,GAAG/lG,EAAE,KAAK,MAAM/c,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASgjH,IAAIjmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG0B,EAAE3B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,QAAQ4B,EAAE,UAAUC,EAAE,IAAIS,EAAE,gBAAgBC,CAAC,EAAEzC,EAAE0C,EAAEX,GAAG,KAAK,CAAC,EAAE,CAAC,EAAEA,EAAEY,EAAE7U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEY,EAAEF,EAAEC,EAAE,EAAE,EAAEG,EAAED,EAAE,aAAamB,EAAEnB,EAAE,YAAY,EAAEA,EAAE,QAAQ,IAAIyE,EAAEzE,EAAE,QAAQ,MAAM,EAAEA,EAAE,QAAQ,OAAO4B,EAAE5B,EAAE,QAAQ,KAAK6B,EAAE7B,EAAE,eAAe8B,EAAE9B,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYkC,EAAElC,EAAE,WAAW0E,EAAE1E,EAAE,YAAYmC,EAAEnC,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAE,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,mEAAmEA,EAAE,yCAAyC,EAAE,IAAIoC,EAAE7E,EAAE,WAAWyC,EAAE,SAAS,SAAS,EAAEqC,EAAE9E,EAAE,UAAU,IAAI6E,EAAE,MAAM,EAAE,GAAG,OAAO8gG,GAAG,EAAE1lG,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAE0B,EAAEe,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEO,EAAEN,EAAEC,EAAEC,EAAEC,EAAEE,EAAEwC,EAAErC,CAAC,EAAED,CAAC,CAAC,IAAIihG,IAAG,CAAC,WAAWjjH,GAAG,YAAY,OAAO,UAAU+iH,IAAI,WAAWC,GAAG,EAAME,IAAGvF,GAAGj9G,EAAE,EAAMyiH,IAAI,GAAGC,IAAGvF,GAAGh9G,GAAGsiH,IAAI,MAAM,EAAME,IAAG1F,GAAG58G,GAAG,SAAS,EAAE,SAASuiH,GAAGvmG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,IAAI,CAAC,EAAEH,EAAE,EAAEG,EAAE,MAAM,OAAO0B,EAAE1B,EAAE,MAAM,MAAM,EAAE2B,EAAE,EAAE,OAAO,EAAE,IAAIxD,EAAE,OAAO,EAAE,EAAE,IAAI,EAAE,IAAI,iCAAiC,EAAE,EAAE,OAAO,IAAI,EAAEwD,EAAE,EAAE,EAAE,GAAGD,EAAE,OAAOC,EAAE,EAAE,CAAC,EAAE8gG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQD,EAAE,MAAM,CAAC,MAAM2B,CAAC,CAAC,CAAC,CAAC,CAAC,IAAIykG,IAAG,CAAC,WAAWviH,GAAG,YAAY,OAAO,WAAWsiH,EAAE,EAAE,SAASE,GAAGzmG,EAAE,CAAC,GAAG,CAAC,MAAM,CAAC,MAAM,EAAE,MAAME,EAAE,MAAME,CAAC,EAAE,QAAQC,CAAC,EAAEL,EAAE,EAAEK,EAAE,WAAW,EAAED,CAAC,EAAE,OAAOC,EAAE,mBAAmB,CAAC,EAAE,KAAKH,CAAC,EAAE,CAAC,CAAC,IAAIwmG,IAAG,CAAC,WAAWtiH,GAAG,YAAY,OAAO,WAAWqiH,EAAE,EAAME,GAAG,SAASC,IAAI5mG,EAAE,CAAC2mG,GAAG3mG,EAAE,KAAK,MAAM3b,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwiH,IAAI7mG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,MAAMI,CAAC,EAAE,EAAEC,EAAEH,EAAE,WAAWE,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAEF,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,EAAEF,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,CAAC0B,EAAEC,EAAEC,EAAES,CAAC,EAAEtC,EAAE,MAAM,OAAOumG,GAAG,EAAE5kG,EAAEC,EAAEC,EAAES,EAAE,CAAC,EAAErC,CAAC,CAAC,IAAIymG,IAAG,CAAC,WAAWziH,GAAG,YAAY,OAAO,WAAWwiH,IAAI,UAAUD,GAAG,EAAMG,IAAGnG,GAAGt8G,EAAE,EAAM0iH,IAAI,GAAGC,IAAGnG,GAAGv8G,GAAGyiH,GAAG,EAAME,GAAG,SAASC,IAAInnG,EAAE,CAACknG,GAAGlnG,EAAE,KAAK,MAAMvb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2iH,IAAIpnG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,gBAAgBK,CAAC,EAAED,EAAE,CAAC,EAAE,EAAE,KAAK,EAAE,SAAS2B,EAAE,OAAOC,EAAE,MAAMC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,UAAU,IAAIb,EAAE,MAAM,EAAE,GAAGc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAEc,EAAEb,GAAG,KAAK,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,EAAE+B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAOwF,EAAE,IAAI,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG,OAAOkjG,GAAGxkG,EAAEC,EAAEC,EAAEC,EAAEC,EAAEzC,EAAE,CAAC,EAAE2D,CAAC,CAAC,IAAIqjG,IAAG,CAAC,WAAW5iH,GAAG,YAAY,OAAO,UAAU0iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIvnG,EAAE,CAACsnG,GAAGtnG,EAAE,KAAK,MAAMtb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8iH,IAAIxnG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE5C,EAAE8D,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,CAAC,EAAE,EAAE29F,GAAG19F,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,qEAAqE,EAAE,IAAIyE,EAAElH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI4D,GAAGlI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGkI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsDA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,CAAC,IAAI7D,EAAE,MAAM,IAAI,MAAM,2BAA2B6D,GAAG,wDAAwD7D,IAAI,EAAEC,EAAE4D,GAAG,EAAE,CAAC,IAAI3D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYa,EAAEb,EAAE,QAAQ,IAAIe,EAAEf,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOgB,EAAEhB,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,eAAekB,EAAElB,EAAE,cAAcmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAYqB,EAAErB,EAAE,WAAWgE,EAAEhE,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUiE,EAAEjE,EAAE,SAASkE,EAAGlE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,yDAAyDA,wBAAwB,EAAE,IAAIwF,EAAG/H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEoE,GAAGhI,EAAE,UAAU,IAAI+H,EAAG,MAAM,EAAE,GAAGE,GAAGtG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAOulG,GAAGhgG,EAAEG,EAAEQ,EAAEC,EAAG,EAAEvD,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEZ,EAAE,EAAE4D,GAAGvF,GAAG,EAAEsF,EAAE,EAAED,CAAE,CAAC,IAAIs/F,IAAG,CAAC,WAAW/iH,GAAG,YAAY,OAAO,UAAU6iH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI3nG,EAAE,CAAC0nG,GAAG1nG,EAAE,KAAK,MAAMrb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASijH,IAAI5nG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,EAAE,KAAK,EAAE,uBAAuB0B,CAAC,EAAE,EAAE,CAAC,QAAQC,EAAE,IAAIC,EAAE,UAAUS,EAAE,WAAWC,EAAE,gBAAgBC,EAAE,WAAWC,EAAE,eAAeC,CAAC,EAAE5C,EAAE8D,EAAEhW,EAAE,kBAAkBqS,EAAE,MAAM,EAAE,MAAM2B,EAAEU,EAAET,EAAEW,EAAE,EAAE,EAAE,EAAE29F,GAAG19F,CAAC,EAAE,GAAG,GAAG,KAAK,MAAM,IAAI,MAAM,GAAGA,8EAA8E,EAAE,IAAIyE,EAAElH,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqE,EAAET,EAAE,YAAYU,EAAE,EAAE,GAAG,GAAG,KAAK,CAAC,IAAI4D,GAAGlI,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGkI,GAAG,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,+DAA+DA,GAAG,MAAM,SAAS,EAAE,GAAGA,GAAG,MAAM,CAAC,IAAI7D,EAAE,MAAM,IAAI,MAAM,oCAAoC6D,GAAG,wDAAwD7D,IAAI,EAAEC,EAAE4D,GAAG,EAAE,CAAC,IAAI3D,EAAEX,EAAE,aAAaY,EAAEZ,EAAE,YAAYa,EAAEb,EAAE,QAAQ,IAAIe,EAAEf,EAAE,QAAQ,MAAMuD,EAAEvD,EAAE,QAAQ,OAAOgB,EAAEhB,EAAE,QAAQ,KAAKiB,EAAEjB,EAAE,eAAekB,EAAElB,EAAE,cAAcmB,EAAEnB,EAAE,aAAaoB,EAAEpB,EAAE,YAAYqB,EAAErB,EAAE,WAAWgE,EAAEhE,EAAE,QAAQ,OAAO,OAAO,EAAE,EAAEyD,EAAEzD,EAAE,UAAUiE,EAAEjE,EAAE,SAASkE,EAAGlE,EAAE,QAAQ,GAAGrB,IAAI,OAAO,MAAM,IAAI,MAAM,kEAAkEA,wBAAwB,EAAE,IAAIwF,EAAG/H,EAAE,WAAW4D,EAAE,SAAS,SAAS,EAAEoE,GAAGhI,EAAE,UAAU,IAAI+H,EAAG,MAAM,EAAE,GAAGE,GAAGtG,GAAG,KAAK,EAAE3B,EAAE,UAAU,IAAI2B,EAAE,MAAM,EAAE,GAAG,OAAO2lG,GAAGpgG,EAAEG,EAAEQ,EAAEC,EAAG,EAAEvD,EAAEC,EAAEF,EAAEG,EAAEE,EAAEwC,EAAEvC,EAAEgD,EAAE/C,EAAEC,EAAEC,EAAEC,EAAEC,EAAEZ,EAAE,EAAE4D,GAAGvF,GAAG,EAAEsF,EAAE,EAAED,CAAE,CAAC,IAAI0/F,IAAG,CAAC,WAAWljH,GAAG,YAAY,OAAO,UAAUgjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI/nG,EAAE,CAAC8nG,GAAG9nG,EAAE,KAAK,MAAMnb,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASmjH,IAAIhoG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,OAAOI,EAAE,QAAQC,CAAC,EAAEH,EAAE,CAAC,EAAE,EAAE6B,EAAEC,CAAC,EAAElP,GAAG,mBAAmBsN,EAAEC,CAAC,EAAE4B,EAAE,EAAE,WAAW,EAAE7B,EAAE,KAAK,EAAE,GAAG,IAAI,EAAE,OAAO6B,EAAE,IAAIS,EAAErC,EAAE,MAAMsC,EAAED,EAAEA,EAAE,OAAO,CAAC,EAAEG,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG4D,EAAE,IAAI,WAAW,IAAI,WAAWjC,CAAC,EAAE,MAAM,EAAEsF,EAAE,EAAE,UAAU,IAAIrF,EAAE,MAAM,EAAE,GAAG,OAAO6lG,GAAGjlG,EAAEy9F,GAAGlgG,EAAE,KAAK,EAAE,EAAE,EAAEuC,EAAEZ,EAAEkC,EAAEqD,CAAC,EAAErF,CAAC,CAAC,IAAIgmG,IAAG,CAAC,WAAWpjH,GAAG,YAAY,OAAO,UAAUkjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAInoG,EAAE,CAACkoG,GAAGloG,EAAE,KAAK,MAAM,SAAS,KAAK,CAAC,SAAS,SAAS,QAAQ,SAAS,SAAS,SAAS,QAAQ,QAAQ,CAAC,CAAC,CAAC,SAASooG,IAAIpoG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,QAAQ,CAAC,EAAEH,EAAE,CAAC,KAAK,EAAE,UAAU6B,CAAC,EAAE3B,EAAE4B,EAAExD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE4B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAES,EAAErC,EAAE,MAAM2B,CAAC,EAAE,QAAQuF,EAAE,EAAEA,EAAEtF,EAAE,OAAO,EAAEsF,EAAE,CAAC,IAAIvC,EAAE/C,EAAEsF,CAAC,EAAE/I,EAAE,OAAOwG,GAAGtC,EAAE,GAAGsC,GAAG,EAAE,IAAI,6BAA6BA,mBAAmBtC,EAAE,IAAI,CAAC,CAAC,IAAIC,EAAE3U,EAAE,aAAa,yBAAyBqS,EAAE,EAAE2B,EAAED,CAAC,EAAEa,EAAEkgG,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,MAAM,CAAC,MAAM,CAACsC,EAAE,UAAUA,EAAE,UAAUA,EAAE,QAAQA,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEE,EAAErE,EAAE,cAAc,EAAE,KAAK,EAAEsE,EAAEggG,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,CAACngG,EAAE,UAAUE,EAAEF,EAAE,SAAS,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEqB,EAAE,CAACrB,EAAE,UAAUA,EAAE,UAAUE,EAAEF,EAAE,UAAUA,EAAE,SAAS,EAAE,EAAE,EAAE,WAAWqB,EAAE3D,EAAE,KAAK,EAAE,GAAG7B,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIiH,EAAE1E,EAAE,MAAM,OAAO,EAAE6B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG+B,EAAE,EAAE,UAAU,IAAI7B,EAAE,MAAM,EAAE,GAAG8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,IAAI,WAAW,IAAI,WAAWrG,EAAE,eAAeoE,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEmC,EAAE,IAAI,WAAW,IAAI,WAAWvG,EAAE,eAAewF,CAAC,CAAC,EAAE,MAAM,EAAE,OAAOkkG,GAAGzjG,EAAE67F,GAAGjgG,EAAE,KAAK,EAAEwE,EAAEyC,EAAE3C,EAAEhC,EAAE,UAAUoC,EAAEH,CAAC,EAAE,EAAE,YAAYhC,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,EAAE,MAAMH,EAAE,YAAY,CAAC,CAAC,IAAI0lG,IAAG,CAAC,WAAWvjH,GAAG,YAAY,OAAO,UAAUqjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGzH,GAAG97G,GAAGsjH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG3H,GAAG77G,GAAGujH,IAAI,MAAM,EAAME,IAAG9H,GAAGn7G,GAAG,MAAM,EAAMkjH,GAAG,SAASC,IAAI5oG,EAAE,CAAC2oG,GAAG3oG,EAAE,KAAK,MAAMja,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8iH,IAAI7oG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAME,CAAC,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAED,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAE,WAAW,EAAE,MAAM,SAAS,EAAE,GAAG5B,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAI,EAAE4B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGuoG,GAAGtoG,EAAEigG,GAAG,EAAE,KAAK,EAAEpgG,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAC,IAAI4oG,IAAG,CAAC,WAAW/iH,GAAG,YAAY,OAAO,UAAU6iH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGlI,GAAG96G,GAAG+iH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAGpI,GAAG76G,GAAGgjH,IAAI,MAAM,EAAME,IAAGvI,GAAGz6G,EAAE,EAAMijH,IAAI,GAAGC,IAAGvI,GAAGx6G,GAAG8iH,IAAI,MAAM,EAAME,IAAG1I,GAAGr6G,EAAE,EAAMgjH,IAAI,GAAGC,IAAG1I,GAAGt6G,GAAG+iH,IAAI,MAAM,EAAME,IAAI,GAAGC,IAAG5I,GAAGr6G,GAAGgjH,IAAI,MAAM,EAAME,GAAG,SAASC,IAAI5pG,EAAE,CAAC2pG,GAAG3pG,EAAE,KAAK,MAAMpZ,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASijH,IAAI7pG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,iBAAiBK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE8B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,CAAC,WAAWU,EAAE,KAAK,EAAE,aAAaE,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG,EAAEA,EAAEV,EAAEyC,CAAC,CAAC,IAAI3B,EAAE,EAAE,MAAM,OAAO9U,EAAE,2BAA2B,MAAM,EAAE8U,CAAC,EAAE,GAAG,CAACkB,EAAEC,CAAC,EAAEjW,EAAE,0BAA0B,EAAE,MAAM,CAAC,EAAEsZ,EAAE9I,EAAE,cAAcyF,CAAC,EAAEa,EAAE,EAAE,WAAWd,EAAE,EAAE,KAAK,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIiG,EAAE,EAAE,UAAU,IAAIK,EAAE,MAAM,EAAE,GAAG6kG,GAAG3nG,EAAEs+F,GAAG,EAAE,KAAK,EAAEh5F,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB8W,EAAE,MAAMlC,CAAC,EAAEkC,EAAE,MAAML,CAAC,CAAC,OAAOK,CAAC,CAAC,IAAIglG,IAAG,CAAC,WAAWljH,GAAG,YAAY,OAAO,UAAUgjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGlJ,GAAG55G,GAAG6iH,GAAG,EAAME,GAAG,SAASC,IAAIlqG,EAAE,CAACiqG,GAAGjqG,EAAE,KAAK,MAAMnZ,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASsjH,IAAInqG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAEK,EAAE,EAAE,EAAE,EAAED,EAAE,UAAU,IAAIC,EAAE,MAAM,EAAE,GAAG7B,EAAE,OAAO6B,EAAE,QAAQ,UAAU,IAAI,0DAA0DA,EAAE,QAAQ,EAAE,GAAG,CAAC,WAAW,EAAE,QAAQ0B,EAAE,IAAIC,EAAE,gBAAgBC,CAAC,EAAE/B,EAAEwC,EAAE1U,EAAE,kBAAkBqS,EAAE,MAAM,EAAE0B,EAAE,EAAEC,EAAEC,CAAC,EAAEU,EAAED,EAAE,aAAaE,EAAEF,EAAE,YAAYG,EAAEH,EAAE,QAAQ,IAAII,EAAEJ,EAAE,QAAQ,MAAMsB,EAAEtB,EAAE,QAAQ,OAAO,EAAEA,EAAE,QAAQ,KAAK4E,EAAE5E,EAAE,eAAe,EAAEA,EAAE,cAAc+B,EAAE/B,EAAE,aAAagC,EAAEhC,EAAE,YAAYiC,EAAEjC,EAAE,WAAWkC,EAAElC,EAAE,YAAY,GAAGA,EAAE,aAAa,eAAe,MAAM,IAAI,MAAM,6CAA6CA,EAAE,yCAAyC,EAAE,IAAImC,EAAEzE,EAAE,WAAWsC,EAAE,SAAS,SAAS,EAAEqC,EAAE3E,EAAE,UAAU,IAAIyE,EAAE,MAAM,EAAE,GAAG,OAAOolG,GAAG,EAAE5pG,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEA,EAAE,MAAM,CAAC,EAAEsC,EAAEC,EAAEC,EAAEC,EAAEkB,EAAE,EAAEsD,EAAE,EAAE7C,EAAEC,EAAEC,EAAEC,EAAEG,CAAC,EAAEF,CAAC,CAAC,IAAIulG,IAAG,CAAC,WAAWvjH,GAAG,YAAY,OAAO,UAAUqjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAItqG,EAAE,CAACqqG,GAAGrqG,EAAE,KAAK,MAAM7Y,GAAG,KAAK,CAAC,wBAAwB,CAAC,CAAC,CAAC,SAASojH,IAAIvqG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI6B,EAAE,EAAE,UAAU,IAAIhC,EAAE,MAAM,EAAE,GAAGgC,IAAI3C,IAAIE,EAAES,EAAEV,EAAE0C,EAAE5B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,OAAO8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAEyD,EAAEA,EAAE,QAAQ,YAAY,EAAE0hG,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAE1hG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAED,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAI,IAAIyC,EAAE,EAAE,WAAWT,EAAE,SAAS,EAAE,GAAGxF,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIyC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG4lG,GAAGroG,EAAEsF,EAAE5C,CAAC,CAAC,CAAC,GAAG7B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAIgC,EAAE1W,EAAE,qBAAqByW,EAAE,MAAM7B,CAAC,EAAE6B,EAAE,MAAMC,CAAC,CAAC,OAAOzC,EAAE,QAAQ,WAAW,EAAE,YAAY,EAAE,MAAM,EAAEwC,CAAC,CAAC,IAAI+lG,IAAG,CAAC,WAAWrjH,GAAG,YAAY,OAAO,UAAUmjH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1qG,EAAE,CAACyqG,GAAGzqG,EAAE,KAAK,MAAM5Y,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASujH,IAAI3qG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAE,GAAGwC,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE,CAAC,IAAI3B,EAAEb,EAAE,MAAM,OAAOjU,EAAE,2BAA2B,MAAM2U,EAAEG,CAAC,EAAE,GAAG,CAACkB,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMU,CAAC,EAAE2E,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGgmG,GAAGzoG,EAAEs+F,GAAG,EAAE,KAAK,EAAEh5F,EAAE7C,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAImmG,IAAG,CAAC,WAAWxjH,GAAG,YAAY,OAAO,UAAUsjH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGhK,GAAGz5G,GAAGwjH,GAAG,EAAME,IAAI,SAAS/qG,EAAE,CAACA,EAAEA,EAAE,QAAQ,CAAC,EAAE,UAAUA,EAAEA,EAAE,UAAU,CAAC,EAAE,WAAW,GAAG+qG,KAAKA,GAAG,CAAC,EAAE,EAAE,IAAIC,GAAG,SAASC,IAAIjrG,EAAE,CAACgrG,GAAGhrG,EAAE,KAAK,MAAM1Y,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4jH,IAAIlrG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASE,EAAE,KAAKC,CAAC,CAAC,EAAEL,EAAE,EAAEI,EAAE,IAAI,CAAC0C,EAAEkB,IAAIlB,EAAE,CAAC,EAAE,EAAE,MAAMkB,CAAC,EAAElB,EAAE,CAAC,CAAC,EAAE,EAAE5C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE8B,EAAE9B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGE,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAES,EAAEtC,EAAE,IAAI0C,GAAGA,EAAE,CAAC,CAAC,EAAEH,EAAEvC,EAAE,IAAI0C,GAAGA,EAAE,CAAC,CAAC,EAAEF,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEG,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOqoG,GAAG,EAAE/oG,EAAE,EAAE,MAAM,OAAOq+F,GAAG,EAAE,KAAK,EAAE19F,EAAEC,EAAEkoG,GAAG1qG,CAAC,EAAE2B,CAAC,EAAED,CAAC,CAAC,IAAIopG,IAAG,CAAC,WAAW7jH,GAAG,YAAY,OAAO,WAAW4jH,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGvK,GAAGp5G,GAAG0jH,GAAG,EAAME,IAAG1K,GAAGj5G,EAAE,EAAE,SAAS4jH,GAAGvrG,EAAE,EAAE,CAAC,IAAIE,EAAE,IAAI,WAAWF,EAAE,KAAK,OAAO,OAAO,EAAE,CAAC,EAAEI,EAAEF,EAAE,CAAC,EAAEG,EAAEH,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,EAAEA,EAAE,CAAC,EAAE,OAAOF,EAAE,KAAK,MAAM,CAAC,EAAE,CAAC,iBAAiBI,EAAE,aAAaC,EAAE,gBAAgB,EAAE,cAAc,CAAC,CAAC,CAAC,IAAImrG,GAAG,SAASC,IAAIzrG,EAAE,CAACwrG,GAAGxrG,EAAE,KAAK,MAAMpY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8jH,IAAI1rG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,CAAC,EAAED,EAAE,CAAC,MAAM2B,EAAE,OAAOC,CAAC,EAAE9B,EAAE+B,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE6oG,GAAGvpG,EAAES,EAAE,EAAErC,EAAE,CAAC,EAAE,CAAC,iBAAiBuC,EAAE,aAAaC,EAAE,gBAAgBC,EAAE,cAAckB,CAAC,EAAEunG,GAAG,EAAE5oG,CAAC,EAAE,OAAO,EAAE,KAAK,MAAMG,CAAC,EAAE,EAAE,KAAK,MAAMkB,CAAC,EAAE,EAAE,WAAW,CAACnB,CAAC,EAAE,QAAQD,CAAC,CAAC,CAAC,IAAI+oG,IAAG,CAAC,WAAW/jH,GAAG,YAAY,OAAO,UAAU6jH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI7rG,EAAE,CAAC4rG,GAAG5rG,EAAE,KAAK,MAAMnY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,MAAM,CAAC,CAAC,CAAC,SAASikH,IAAI9rG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,EAAE,mBAAmB0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEgpG,GAAGlpG,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEunG,GAAG,EAAE3oG,CAAC,EAAE,EAAE,KAAK,MAAMoB,CAAC,EAAE,IAAIsD,EAAE,EAAE,WAAW,CAACxE,CAAC,EAAE,QAAQD,CAAC,EAAE,EAAE,EAAE,WAAW,CAAC,EAAE,QAAQ,CAAC,EAAE,MAAM,CAACyE,EAAE,CAAC,CAAC,CAAC,IAAIykG,IAAG,CAAC,WAAWlkH,GAAG,YAAY,OAAO,UAAUgkH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIjsG,EAAE,CAACgsG,GAAGhsG,EAAE,KAAK,MAAMlY,GAAG,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASokH,IAAIlsG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,aAAaK,EAAE,cAAc,EAAE,eAAe,EAAE,aAAa0B,CAAC,EAAE3B,EAAE,CAAC,MAAM4B,EAAE,OAAOC,CAAC,EAAE/B,EAAEwC,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAE,EAAE,UAAU,IAAIV,EAAE,MAAM,EAAE,GAAGW,EAAEopG,GAAGtpG,EAAEC,EAAE,EAAEtC,EAAE,EAAE0B,CAAC,EAAE,CAAC,iBAAiBc,EAAE,aAAaC,EAAE,gBAAgBkB,EAAE,cAAc,CAAC,EAAEunG,GAAG,EAAE3oG,CAAC,EAAE,EAAE,KAAK,MAAM,CAAC,EAAE,IAAI0E,EAAE,EAAE,WAAW,CAACxE,CAAC,EAAE,QAAQD,CAAC,EAAE,EAAE,EAAE,WAAW,CAACC,CAAC,EAAE,UAAUkB,CAAC,EAAE,MAAM,CAACsD,EAAE,CAAC,CAAC,CAAC,IAAI6kG,IAAG,CAAC,WAAWrkH,GAAG,YAAY,OAAO,UAAUmkH,IAAI,WAAWC,GAAG,EAAME,IAAI,GAAGC,IAAGvL,GAAG/4G,GAAGqkH,IAAI,MAAM,EAAME,GAAG,SAASC,IAAIvsG,EAAE,CAACssG,GAAGtsG,EAAE,KAAK,MAAM/X,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASukH,IAAIxsG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,CAAC,EAAE,EAAE,CAAC,MAAM,EAAE,MAAM,EAAE,QAAQ0B,EAAE,SAASC,CAAC,EAAE5B,EAAE6B,EAAE/B,EAAE,WAAW,CAAC,GAAGG,EAAE,MAAM,CAAC,EAAE,CAAC,EAAEqC,EAAExC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGW,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,OAAOisG,GAAG1pG,EAAE,EAAEb,EAAEC,EAAEU,CAAC,EAAET,CAAC,CAAC,IAAIwqG,IAAG,CAAC,WAAWxkH,GAAG,YAAY,OAAO,UAAUskH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI1sG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAIusG,IAAG,CAAC,WAAWzkH,GAAG,YAAY,OAAO,WAAWwkH,GAAG,EAAE,SAASE,IAAI5sG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,CAAC,EAAED,EAAE,GAAG,EAAE,SAAS,EAAE,OAAOmmG,GAAG,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,QAAQrmG,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,QAAQqC,GAAG,CAAClE,EAAE,kBAAkB,EAAEkE,EAAE,MAAM,uDAAuD,EAAElE,EAAE,OAAO,IAAIkE,EAAE,MAAM,IAAI,uDAAuD,CAAC,CAAC,EAAE,IAAIX,EAAE,CAAC,EAAEC,EAAE,EAAE,IAAIU,GAAG,CAAC,IAAIC,EAAE4jG,GAAG,CAAC,OAAO,CAAC,MAAM7jG,CAAC,EAAE,QAAQxC,EAAE,MAAM,CAAC,IAAIG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,KAAKY,CAAC,EAAEA,CAAC,CAAC,EAAEV,EAAEiiG,GAAG,CAAC,OAAOliG,EAAE,QAAQ9B,EAAE,MAAM,CAAC,KAAKG,CAAC,CAAC,CAAC,EAAE,OAAO0B,EAAE,QAAQW,GAAGxC,EAAE,YAAYwC,EAAE,MAAM,CAAC,EAAET,CAAC,CAAC,IAAI4qG,IAAG,CAAC,WAAWxkH,GAAG,YAAY,OAAO,WAAWukH,GAAG,EAAME,GAAG,SAASC,IAAI/sG,EAAE,CAAC8sG,GAAG9sG,EAAE,KAAK,MAAM1X,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0kH,IAAIhtG,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,EAAE,MAAM,CAAC,SAASE,EAAE,cAAcC,CAAC,CAAC,EAAEL,EAAE,EAAEI,EAAE,IAAI,CAAC4D,EAAEC,IAAID,EAAE,CAAC,EAAE,EAAE,MAAMC,CAAC,EAAED,EAAE,CAAC,CAAC,EAAE,GAAGxF,EAAE,cAAc,EAAE,KAAK,IAAI,EAAE,OAAOioG,GAAG,CAAC,QAAQvmG,EAAE,MAAM,CAAC,MAAM,EAAE,MAAMG,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,EAAE,IAAI,EAAEH,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,EAAEA,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,EAAE,EAAEtC,EAAE,IAAI4D,GAAGA,EAAE,CAAC,CAAC,EAAEpB,EAAExC,EAAE,IAAI4D,GAAGA,EAAE,CAAC,CAAC,EAAEnB,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAE,OAAOkqG,GAAG,EAAEpqG,EAAE,EAAE,MAAM,OAAO49F,GAAG,EAAE,KAAK,EAAEz9F,EAAEC,EAAEzC,EAAE,CAAC,EAAE0B,CAAC,CAAC,IAAIkrG,GAAG,CAAC,WAAW3kH,GAAG,YAAY,OAAO,WAAW0kH,IAAI,UAAUD,GAAG,EAAMG,IAAI,GAAGC,IAAGrM,GAAGt4G,GAAG0kH,GAAG,EAAME,GAAG,SAASC,IAAIrtG,EAAE,CAACotG,GAAGptG,EAAE,KAAK,MAAMvX,GAAG,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS6kH,IAAIttG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,EAAEI,EAAE,MAAMC,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG,EAAEF,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG0B,EAAE,EAAEC,EAAE5B,EAAE6B,EAAED,EAAEA,EAAE,QAAQ,YAAYC,EAAE0hG,GAAG,CAAC,QAAQzjG,EAAE,OAAO,CAAC,EAAEE,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2B,EAAE7B,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,IAAI,IAAIS,EAAExC,EAAE,WAAWE,EAAE,MAAM,SAAS,EAAEuC,EAAEzC,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAG,OAAO0qG,GAAGrrG,EAAE,EAAEY,CAAC,EAAEX,EAAE,QAAQ,WAAW9B,EAAE,YAAY+B,EAAE,MAAM,EAAES,CAAC,CAAC,IAAI6qG,IAAG,CAAC,WAAW9kH,GAAG,YAAY,OAAO,UAAU4kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIztG,EAAE,CAACwtG,GAAGxtG,EAAE,KAAK,MAAMtX,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASglH,IAAI1tG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,OAAO8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+oG,GAAGxrG,EAAEsF,EAAEg5F,GAAG,EAAE,KAAK,EAAE77F,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIkpG,IAAG,CAAC,WAAWjlH,GAAG,YAAY,OAAO,UAAU+kH,IAAI,WAAWC,GAAG,EAAME,IAAI5tG,GAAG,CAAC,GAAG,CAAC,QAAQ,EAAE,MAAME,CAAC,EAAEF,EAAE,CAAC,MAAMI,EAAE,KAAKC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAEH,EAAE6B,EAAEmzD,GAAG90D,EAAEC,EAAE,EAAE,CAAC,EAAE2B,EAAE,EAAE,WAAW,CAACD,EAAE,MAAM,EAAE,CAAC,EAAE,OAAO,EAAE,mBAAmBC,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,EAAE6rG,IAAG,CAAC,WAAW7kH,GAAG,YAAY,OAAO,WAAW4kH,GAAG,EAAME,IAAI,GAAGC,IAAGjN,GAAG33G,GAAG2kH,GAAG,EAAME,IAAGpN,GAAGx3G,EAAE,EAAM6kH,IAAGrN,GAAGt3G,EAAE,EAAM4kH,IAAGtN,GAAGr3G,EAAE,EAAM4kH,GAAG,SAASC,IAAIpuG,EAAE,CAACmuG,GAAGnuG,EAAE,KAAK,MAAMvW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS4kH,IAAIruG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAEH,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK6B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAE,EAAE2D,EAAE,QAAQ,YAAY,EAAE2/F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEtjG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE2D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAG,IAAIsD,EAAEtD,EAAE,GAAG,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAGtE,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO,EAAE,IAAIoE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,OAAO0pG,GAAG7mG,EAAE5E,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE,GAAG,MAAM,EAAE,YAAY,EAAE,MAAM,EAAE,CAAC,CAAC,IAAI6pG,IAAG,CAAC,WAAW7kH,GAAG,YAAY,OAAO,UAAU2kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxuG,EAAE,CAACuuG,GAAGvuG,EAAE,KAAK,MAAMrW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8kH,IAAIzuG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,OAAOK,CAAC,EAAEH,EAAE,CAAC,aAAa,EAAE,iBAAiB,EAAE,KAAK6B,CAAC,EAAE3B,EAAE,CAAC4B,EAAEC,CAAC,EAAEF,EAAE,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAMyC,EAAE,CAACJ,EAAEV,EAAEC,EAAEY,CAAC,EAAEmB,EAAE,EAAE,WAAWlB,EAAE,SAAS,EAAE,GAAGtE,EAAE,cAAc6B,EAAE,KAAK,IAAI,EAAE,OAAO2D,EAAE,IAAI,EAAE,EAAE,UAAU,IAAI3D,EAAE,MAAM,EAAEiH,EAAE,EAAE,QAAQ,YAAYA,EAAEq8F,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEtjG,CAAC,EAAE,MAAM,CAAC,MAAM,SAAS,CAAC,CAAC,EAAE,EAAE,EAAE,UAAU,IAAIiH,EAAE,MAAM,GAAG,IAAI,EAAE,EAAE,GAAG7C,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAG,OAAOuqG,GAAG,EAAE7rG,EAAEC,EAAEC,EAAEC,EAAEb,EAAEC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAEwC,CAAC,EAAE6C,GAAG,MAAM,EAAE,YAAYA,EAAE,MAAM,EAAEtD,CAAC,CAAC,IAAI0qG,IAAG,CAAC,WAAW/kH,GAAG,YAAY,OAAO,UAAU6kH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5uG,EAAE,CAAC2uG,GAAG3uG,EAAE,KAAK,MAAMnW,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASglH,IAAI7uG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE5B,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,GAAGA,EAAE,MAAM,SAAS,EAAE,OAAOghG,GAAG,CAAC,OAAO,CAAC,EAAEhhG,CAAC,EAAE,QAAQH,CAAC,CAAC,EAAE,IAAI6B,EAAE7B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE2B,EAAE9B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG4B,EAAE/B,EAAE,UAAU,IAAI6B,EAAE,MAAM,EAAE,GAAGW,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEC,EAAE,IAAI,WAAW,IAAI,WAAWtC,EAAE,KAAK,EAAE,MAAM,EAAEsuG,GAAG3sG,EAAEU,EAAE,EAAE,OAAOC,EAAEtC,EAAE,MAAM,OAAO4B,CAAC,EAAE,IAAIW,EAAEkgG,GAAG,CAAC,OAAO,CAAC,EAAE/gG,CAAC,EAAE,MAAM,CAAC,MAAM1B,EAAE,KAAK,EAAE,QAAQH,CAAC,CAAC,EAAE,OAAOA,EAAE,YAAY6B,EAAE,MAAM,EAAEa,CAAC,CAAC,IAAIksG,IAAG,CAAC,WAAWjlH,GAAG,YAAY,OAAO,WAAWglH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAIhvG,EAAE,CAAC+uG,GAAG/uG,EAAE,KAAK,MAAMlW,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASmlH,IAAIjvG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,QAAQ,EAAE,UAAU,EAAE,OAAO0B,CAAC,EAAE3B,EAAE4B,EAAE9B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAE4B,EAAE/B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGqC,EAAExC,EAAE,UAAU,IAAI8B,EAAE,MAAM,EAAE,GAAG,CAACW,EAAEC,EAAEC,EAAEC,CAAC,EAAEzC,EAAE,MAAM,CAAC2D,EAAE,CAAC,EAAEhW,EAAE,eAAe+T,EAAEa,EAAEC,CAAC,EAAEyE,EAAE,IAAI,EAAE,EAAE,IAAI7C,EAAE,OAAO,GAAG,SAAS,CAAC,EAAE,EAAE,EAAE6C,EAAE,EAAE,CAAC,EAAE,CAAC,GAAG,EAAE,CAAC,EAAE5C,EAAE,IAAI,WAAW,IAAI,WAAWD,CAAC,EAAE,MAAM,EAAE,OAAOsqG,GAAG9sG,EAAEU,EAAEC,EAAEC,EAAEC,EAAE,EAAEkB,EAAE,EAAEU,EAAED,EAAE,OAAO/B,CAAC,EAAEV,CAAC,CAAC,IAAIktG,IAAG,CAAC,WAAWplH,GAAG,YAAY,OAAO,WAAWmlH,IAAI,UAAUD,GAAG,EAAMG,IAAGvO,GAAG72G,EAAE,EAAMqlH,IAAGxO,GAAG52G,EAAE,EAAMqlH,GAAG,SAASC,IAAItvG,EAAE,CAACqvG,GAAGrvG,EAAE,KAAK,MAAM9V,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASqlH,IAAIvvG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,QAAQK,EAAE,QAAQ,CAAC,EAAEH,EAAE,CAAC,MAAM,CAAC,EAAEE,EAAE2B,EAAE,EAAE,WAAW,EAAE,EAAE,KAAK,EAAE,GAAGvD,EAAE,cAAc,CAAC,IAAI,EAAE,OAAOuD,EAAE,GAAG,CAAC,UAAUC,EAAE,WAAWC,EAAE,UAAUS,EAAE,QAAQC,EAAE,WAAWC,CAAC,EAAEvI,GAAG,gBAAgB,EAAEgG,EAAE,CAAC,EAAEyC,EAAE,EAAE,UAAU,IAAIzC,EAAE,MAAM,EAAE,GAAG4D,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGqD,EAAE,IAAI,WAAW,IAAI,WAAW3E,CAAC,EAAE,MAAM,EAAEmC,EAAE,EAAE,UAAU,IAAI/C,EAAE,MAAM,EAAE,GAAG,OAAOstG,GAAGvsG,EAAEmB,EAAEq8F,GAAG,EAAE,KAAK,EAAEt+F,EAAEC,EAAES,EAAE4E,EAAE1E,EAAEkC,CAAC,EAAE/C,CAAC,CAAC,IAAIytG,IAAG,CAAC,WAAWtlH,GAAG,YAAY,OAAO,UAAUolH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI1vG,EAAE,CAACyvG,GAAGzvG,EAAE,KAAK,MAAM,WAAW,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS2vG,IAAI3vG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,CAAC,EAAEF,EAAE,CAAC,UAAUI,EAAE,EAAEC,EAAE,EAAE,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG2B,EAAE7B,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG2B,EAAE9B,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG+B,EAAE/B,EAAE,WAAWG,EAAE,MAAMA,EAAE,KAAK,EAAEqC,EAAExC,EAAE,UAAU,IAAI+B,EAAE,MAAM,EAAE,GAAGU,EAAEvC,EAAE,MAAM,OAAOwC,EAAEvC,EAAE,MAAM,OAAOwC,EAAEF,IAAI,GAAGA,EAAE,GAAGC,IAAI,EAAE,EAAEpE,EAAE,cAAc6B,EAAE,MAAM,MAAM,CAAC,CAAC,EAAE,OAAOovG,GAAG,EAAE1tG,EAAEC,EAAEa,EAAEH,CAAC,EAAET,CAAC,CAAC,IAAI2tG,IAAG,CAAC,WAAWxlH,GAAG,YAAY,OAAO,WAAWulH,IAAI,UAAUD,GAAG,EAAMG,GAAG,SAASC,IAAI9vG,EAAE,CAAC6vG,GAAG7vG,EAAE,KAAK,MAAMzV,GAAG,KAAK,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwlH,IAAI/vG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,EAAEE,CAAC,CAAC,EAAEF,EAAEI,EAAE,EAAE,UAAU,IAAIF,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,WAAWH,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,OAAO7B,EAAE,cAAc6B,EAAE,KAAK,IAAI,GAAGwvG,GAAGzvG,EAAE,CAAC,EAAEC,CAAC,CAAC,IAAI2vG,IAAG,CAAC,WAAW,UAAU,YAAY,OAAO,UAAUF,IAAI,WAAWC,GAAG,EAAME,IAAGrP,GAAGn2G,EAAE,EAAMylH,GAAG,SAASC,IAAInwG,EAAE,CAACkwG,GAAGlwG,EAAE,KAAK,MAAMpV,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASwlH,IAAIpwG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAO,CAAC,OAAOE,CAAC,EAAE,MAAM,CAAC,IAAIE,CAAC,CAAC,EAAEJ,EAAEK,EAAE,EAAE,UAAU,IAAIH,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWA,EAAE,MAAMA,EAAE,KAAK,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE7B,EAAE,MAAME,CAAC,EAAE4B,EAAExD,EAAE,cAAc0B,EAAE,KAAK,EAAE6B,EAAE,OAAOvD,EAAE,cAAc,EAAE,KAAK,IAAI,GAAG0xG,GAAG7vG,EAAE,EAAE0B,EAAEC,CAAC,EAAE,CAAC,CAAC,IAAIquG,IAAG,CAAC,WAAWzlH,GAAG,YAAY,OAAO,UAAUulH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAItwG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,WAAW,EAAE,SAAS,CAAC,EAAED,EAAE2B,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAEA,EAAE,KAAK,GAAG,CAAC,EAAE,QAAQ4C,EAAE,EAAE,EAAE,OAAOA,EAAEvE,EAAE,MAAM,OAAO,EAAEuE,EAAE5C,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,IAAIC,EAAEgrG,GAAG,WAAW,CAAC,OAAO,CAAC,EAAE5sG,CAAC,EAAE,QAAQH,EAAE,MAAM,CAAC,SAAS8B,EAAE,cAAc,CAAC,CAAC,CAAC,EAAEU,EAAE1U,EAAE,YAAYiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAEY,EAAE3U,EAAE,YAAY0U,EAAE,OAAO,EAAE,OAAO,EAAE,EAAEE,EAAE5U,EAAE,oBAAoBiU,EAAE,MAAM,EAAEF,EAAE,EAAE,EAAE,EAAE+gG,GAAG,CAAC,OAAO,CAAC,EAAE7gG,CAAC,EAAE,QAAQ/B,EAAE,MAAM,CAAC,MAAMwC,CAAC,CAAC,CAAC,EAAEoC,EAAE28F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQvhG,EAAE,MAAM,CAAC,KAAKyC,CAAC,CAAC,CAAC,EAAEgC,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEh+F,CAAC,EAAE,QAAQ5E,EAAE,MAAM,CAAC,MAAM0C,CAAC,CAAC,CAAC,EAAE,OAAO1C,EAAE,YAAY+B,EAAE,MAAM,EAAE/B,EAAE,YAAY,EAAE,MAAM,EAAEA,EAAE,YAAY4E,EAAE,MAAM,EAAEH,CAAC,CAAC,IAAI4rG,IAAG,CAAC,WAAWzlH,GAAG,YAAY,OAAO,WAAWwlH,GAAG,EAAME,GAAG,SAASC,IAAIzwG,EAAE,CAACwwG,GAAGxwG,EAAE,KAAK,MAAM,sBAAsB,SAAS,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0wG,IAAI1wG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,QAAQI,EAAE,OAAOC,EAAE,WAAW,EAAE,aAAa,CAAC,EAAEH,EAAE6B,EAAE3B,EAAE,MAAM,CAAC,EAAE4B,EAAE5B,EAAE,MAAM,CAAC,EAAE6B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,EAAES,EAAE,CAACX,EAAEE,EAAED,CAAC,EAAEW,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAIvC,EAAE,MAAM,EAAE,GAAGwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAWJ,EAAEtC,EAAE,KAAK,EAAE4D,EAAE,EAAE,UAAU,IAAIlB,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAWJ,EAAE,MAAM,EAAE,CAAC,EAAErC,EAAE,KAAK,EAAEiH,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG,EAAE,EAAE,WAAW,CAACrF,CAAC,EAAE,MAAM,EAAEwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE,EAAE,WAAW,CAAC3C,CAAC,EAAE3B,EAAE,KAAK,EAAEuE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAEyrG,GAAG7tG,EAAEC,EAAE09F,GAAGjgG,EAAE,KAAK,EAAE0B,EAAEE,EAAED,EAAEa,EAAEmB,EAAEsD,EAAE7C,EAAEE,EAAEE,CAAC,EAAE0C,EAAE,EAAE,SAAS3C,EAAE,MAAM,EAAEI,EAAE,OAAOuC,EAAE,CAAC,EAAE,CAAC,IAAK,GAAE,CAACvC,EAAEhX,EAAE,gDAAgDuZ,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAACvC,EAAEhX,EAAE,gDAAgDuZ,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAEvC,EAAEhX,EAAE,kDAAkDuZ,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,MAAM,QAAQvC,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYJ,EAAE,MAAM,EAAEI,EAAE,MAAM,EAAE,YAAYlC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,EAAE,EAAE,YAAY4B,EAAE,MAAM,EAAE,IAAI,MAAMM,CAAC,EAAE,IAAIC,EAAEnC,EAAEoC,EAAE,EAAE,OAAOH,IAAIrC,EAAE,CAAC,IAAIuC,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEtgG,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAK,CAACiC,EAAE/C,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAEkD,EAAEk+F,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKr+F,CAAC,EAAE,QAAQ,CAAC,CAAC,EAAE,EAAE,YAAYjC,EAAE,MAAM,EAAE,EAAE,YAAY,EAAE,MAAM,GAAG,CAACmC,EAAEC,EAAE,EAAER,CAAC,CAAC,CAAC,IAAIisG,IAAG,CAAC,WAAW5lH,GAAG,YAAY,OAAO,UAAU0lH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI7wG,EAAE,CAAC4wG,GAAG5wG,EAAE,KAAK,MAAMhV,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS8lH,IAAI9wG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,CAAC,EAAEF,EAAE,CAAC,aAAaI,EAAE,WAAWC,EAAE,SAAS,CAAC,EAAEH,EAAE,GAAGE,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACz04CA,EAAE,OAAO,EAAE,GAAGC,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM;AAAA,UACjDA,EAAE,OAAO,EAAE,GAAG,EAAE,MAAM,SAAS,EAAE,MAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO,EAAE,IAAI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI1B,EAAE,MAAM,EAAE,GAAG2B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAE7B,EAAE,MAAM,CAAC,EAAEsC,EAAElE,EAAE,cAAc,EAAE,KAAK,EAAEmE,EAAE,EAAE,WAAW,CAACV,EAAES,CAAC,EAAEtC,EAAE,KAAK,EAAEwC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGE,EAAE,EAAE,WAAW,CAACH,CAAC,EAAE,EAAE,KAAK,EAAEI,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGmB,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,EAAE,EAAE,UAAU,IAAIA,EAAE,MAAM,EAAE,GAAG4sG,GAAG,EAAE7uG,EAAEC,EAAEC,EAAEW,EAAEE,EAAE,CAAC,EAAE,IAAIwE,EAAE,EAAE,SAAStD,EAAE,MAAM,EAAE,EAAE,OAAOsD,EAAE,CAAC,EAAE,CAAC,IAAK,GAAE,CAAC,EAAEtZ,EAAE,yDAAyDsZ,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,EAAEtZ,EAAE,8CAA8CsZ,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,EAAEtZ,EAAE,qDAAqD,EAAE,MAAM,IAAK,GAAE,CAAC,IAAIyW,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAE,EAAE7U,EAAE,gDAAgDyW,EAAEC,CAAC,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC,IAAID,EAAE,MAAM,KAAK,EAAE,SAASpE,EAAE,MAAM,CAAC,EAAEqE,EAAE,MAAM,KAAK,EAAE,SAAS7B,EAAE,MAAM,CAAC,EAAE,EAAE7U,EAAE,gDAAgDyW,EAAEC,CAAC,EAAE,KAAK,CAAC,QAAQ,EAAE,EAAE,CAAC,GAAG,EAAE,YAAYV,EAAE,MAAM,EAAE,EAAE,MAAM,EAAE,YAAYrB,EAAE,MAAM,EAAE,EAAE,YAAYE,EAAE,MAAM,EAAE,IAAI,MAAM,CAAC,EAAE,MAAM,CAACF,EAAEE,CAAC,CAAC,CAAC,IAAIkuG,IAAG,CAAC,WAAW/lH,GAAG,YAAY,OAAO,UAAU6lH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,GAAGjxG,EAAE,CAACgxG,GAAGhxG,EAAE,KAAK,MAAM,yBAAyB,KAAK,CAAC,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASkxG,GAAGlxG,EAAE,EAAE,CAAC,GAAG,CAAC,QAAQE,EAAE,OAAOE,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,QAAQ,EAAE,WAAW,CAAC,EAAED,EAAE2B,EAAE,EAAE,MAAM,CAAC,EAAEC,EAAE9B,EAAE,SAAS,EAAE,OAAO6B,EAAE,EAAEA,CAAC,EAAE,CAAC,EAAEW,EAAEX,EAAE,EAAEC,EAAE,EAAE,EAAE,GAAGU,EAAE,EAAE,MAAM,IAAI,MAAM1U,EAAE,wDAAwD,CAAC,EAAE,IAAI,EAAEqS,EAAE,MAAM,MAAM,EAAE,EAAE,CAAC,EAAEqC,EAAE,IAAIE,EAAE1C,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAGwC,EAAE3C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG4C,EAAE5C,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG8D,EAAE9D,EAAE,WAAW,EAAEG,EAAE,KAAK,EAAE4D,EAAE/D,EAAE,UAAU,IAAI8D,EAAE,MAAM,EAAE,GAAGsD,EAAEpH,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE4E,EAAE5E,EAAE,UAAU,IAAIoH,EAAE,MAAM,EAAE,GAAG0pG,GAAGpuG,EAAE09F,GAAGjgG,EAAE,KAAK,EAAEA,EAAE,MAAM,CAAC,EAAEwC,EAAEC,EAAEmB,EAAEa,EAAE,EAAE,CAAC,EAAE,IAAIL,EAAEvE,EAAE,SAASoH,EAAE,MAAM,EAAE5C,EAAE,OAAOD,EAAE,CAAC,EAAE,CAAC,IAAK,GAAE,CAACC,EAAE1W,EAAE,wDAAwD,EAAE,KAAK,CAAC,IAAK,GAAE,CAAC0W,EAAE1W,EAAE,6DAA6D,EAAE,KAAK,CAAC,IAAK,GAAE0W,EAAE1W,EAAE,yDAAyDyW,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,MAAM,IAAK,GAAEC,EAAE1W,EAAE,uDAAuDyW,EAAE,CAAC,EAAEA,EAAE,CAAC,EAAEA,EAAE,CAAC,CAAC,EAAE,MAAM,QAAQC,EAAE,EAAE,CAAC,GAAGxE,EAAE,YAAYoH,EAAE,MAAM,EAAE5C,EAAE,MAAMxE,EAAE,YAAY8D,EAAE,MAAM,EAAE,IAAI,MAAMU,CAAC,EAAE,OAAOV,CAAC,CAAC,SAASmtG,IAAInxG,EAAE,CAAC,OAAOkxG,GAAGlxG,EAAE,EAAE,CAAC,CAAC,IAAIoxG,IAAG,CAAC,WAAWnmH,GAAG,YAAY,OAAO,UAAUgmH,GAAG,WAAWE,GAAG,EAAE,SAASE,IAAIrxG,EAAE,CAAC,OAAOkxG,GAAGlxG,EAAE,EAAE,CAAC,CAAC,IAAIsxG,IAAG,CAAC,WAAWpmH,GAAG,YAAY,OAAO,UAAU+lH,GAAG,WAAWI,GAAG,EAAE,SAASE,IAAIvxG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAME,EAAE,QAAQE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,CAAC,gBAAgB,EAAE,KAAK,CAAC,EAAEH,EAAE6B,EAAEvD,EAAE,eAAe,EAAE6B,EAAE,KAAK,EAAE,CAAC,EAAE2B,EAAEhU,EAAE,iBAAiBqS,EAAE,EAAE0B,CAAC,EAAEE,EAAE,IAAI,MAAM5B,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,EAAEqC,EAAErC,EAAE,MAAM,MAAM,EAAE,OAAO2B,EAAE,IAAIW,GAAG,CAAC,IAAIC,EAAE,CAAC,GAAGF,CAAC,EAAEE,EAAEb,CAAC,EAAEY,EAAE,IAAIE,EAAEugG,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,MAAM,CAAC,MAAM4B,EAAE,KAAKW,CAAC,EAAE,QAAQxC,CAAC,CAAC,EAAE,OAAO6B,EAAEF,CAAC,GAAGY,EAAEE,CAAC,CAAC,CAAC,CAAC,IAAI2uG,IAAG,CAAC,WAAWpmH,GAAG,YAAY,OAAO,WAAWmmH,GAAG,EAAME,IAAG7Q,GAAGv1G,EAAE,EAAMqmH,IAAG9Q,GAAGt1G,EAAE,EAAMqmH,IAAI,GAAGC,IAAG9Q,GAAGv1G,GAAGomH,GAAG,EAAME,GAAG,SAASC,IAAI9xG,EAAE,CAAC6xG,GAAG7xG,EAAE,KAAK,MAAMxU,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASumH,IAAI/xG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAG6B,EAAE,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAEC,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAO8vG,GAAG,EAAExxG,EAAEigG,GAAG,EAAE,KAAK,EAAEt+F,CAAC,EAAED,CAAC,CAAC,IAAIiwG,IAAG,CAAC,WAAWxmH,GAAG,YAAY,OAAO,UAAUsmH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIlyG,EAAE,CAACiyG,GAAGjyG,EAAE,KAAK,MAAMvU,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,QAAQ,QAAQ,QAAQ,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAAS0mH,IAAInyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAEH,EAAE,CAAC,MAAM,EAAE,IAAI,EAAE,QAAQ6B,EAAE,UAAUC,EAAE,QAAQC,EAAE,aAAaS,EAAE,YAAYC,EAAE,eAAeC,CAAC,EAAExC,EAAE,CAAC,iBAAiByC,EAAE,WAAWC,EAAE,WAAWkB,EAAE,UAAU,EAAE,cAAcsD,EAAE,MAAM,EAAE,IAAI7C,EAAE,QAAQC,CAAC,EAAE9I,GAAG,UAAUyE,EAAE,MAAM,EAAE,EAAE0B,EAAEC,EAAEC,EAAES,EAAEC,EAAEC,CAAC,EAAE+B,EAAE,GAAGX,EAAEW,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEziG,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAMyC,CAAC,CAAC,CAAC,UAAU,GAAGwE,EAAE,CAAC9I,EAAE,OAAO6B,EAAE,MAAM,QAAQ,EAAE,IAAI,yCAAyCA,EAAE,MAAM,QAAQ,EAAE,IAAIuE,EAAEhJ,GAAG,gBAAgB,EAAE6I,EAAEC,CAAC,EAAEG,EAAEu+F,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,KAAKuE,CAAC,CAAC,CAAC,EAAED,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEj+F,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM/B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY+B,EAAE,MAAM,CAAC,KAAK,CAAC,IAAID,EAAE,EAAE,WAAW/B,EAAE,SAAS,EAAEgC,EAAE,EAAE,UAAU,IAAIxE,EAAE,MAAM,EAAE,GAAG0E,EAAE,IAAI,WAAW,IAAI,WAAWvG,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAEkH,EAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,EAAEvC,EAAE,IAAI,WAAW,IAAI,WAAWP,CAAC,EAAE,MAAM,EAAEQ,EAAE,IAAI,WAAW,IAAI,WAAWP,CAAC,EAAE,MAAM,EAAEQ,EAAE,IAAI,WAAW,IAAI,WAAWrC,CAAC,EAAE,MAAM,EAAEsC,EAAE,IAAI,WAAW,IAAI,WAAW3G,EAAE,eAAeqE,CAAC,CAAC,EAAE,MAAM,EAAEuC,EAAE,EAAE,UAAU,IAAIR,EAAE,MAAM,EAAE,GAAGqtG,GAAGptG,EAAEE,EAAE1E,EAAE,MAAM,OAAOkH,EAAEvC,EAAEC,EAAEC,EAAEC,EAAEtC,EAAE,OAAOuC,CAAC,EAAET,EAAEm+F,GAAG,CAAC,OAAO,CAAC,EAAEl+F,CAAC,EAAE,QAAQ,EAAE,MAAM,CAAC,MAAM9B,CAAC,CAAC,CAAC,EAAE,EAAE,YAAY8B,EAAE,MAAM,CAAC,CAAC,OAAOD,CAAC,CAAC,IAAIytG,IAAG,CAAC,WAAW3mH,GAAG,YAAY,OAAO,UAAUymH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAIryG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,WAAW,CAAC,EAAEH,EAAE,CAAC,UAAU,EAAE,YAAY6B,EAAE,QAAQC,EAAE,SAASC,EAAE,SAASS,EAAE,uBAAuBC,CAAC,EAAEvC,EAAEwC,EAAE,EAAE,SAASvC,EAAE,MAAM,EAAEwC,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAEkB,CAAC,EAAE8xD,GAAGlzD,EAAEC,EAAE,EAAEd,EAAEC,EAAEC,EAAES,EAAEC,CAAC,EAAE,EAAE,EAAE,WAAW,CAACG,EAAE,MAAM,EAAE,QAAQ,EAAEwE,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAEA,EAAE,YAAYxE,EAAE,IAAI,EAAE,EAAE,WAAW,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB,CAAC,EAAE,IAAIkB,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,IAAIsuG,IAAG,CAAC,WAAW5mH,GAAG,YAAY,OAAO,WAAW2mH,GAAG,EAAE,SAASE,IAAIvyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,UAAU,CAAC,EAAEH,EAAE,CAAC,UAAU,CAAC,EAAEE,EAAE2B,EAAE,EAAE,SAAS1B,EAAE,MAAM,EAAE2B,EAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAACC,EAAES,EAAEC,CAAC,EAAEozD,GAAGh0D,EAAEC,EAAE,CAAC,EAAE,CAAC,EAAEY,EAAEF,EAAE,OAAOG,EAAE,EAAE,WAAW,CAACD,EAAE,CAAC,EAAE,OAAO,EAAE,EAAE,mBAAmBC,CAAC,EAAE,IAAIZ,CAAC,EAAE,IAAI+B,EAAE,EAAE,WAAW,CAACpB,CAAC,EAAE,QAAQ,EAAEqB,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAEC,EAAE,YAAYvB,EAAE,IAAI4E,EAAE,EAAE,WAAW,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,mBAAmBA,CAAC,EAAE,IAAI3E,CAAC,EAAE,CAACE,EAAEmB,EAAEsD,CAAC,CAAC,CAAC,IAAIkrG,IAAG,CAAC,WAAW7mH,GAAG,YAAY,OAAO,WAAW4mH,GAAG,EAAE,SAASE,IAAIzyG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAEH,EAAE,CAAC,WAAW,CAAC,EAAEE,EAAE,EAAE,EAAE,SAASC,EAAE,MAAM,EAAE0B,EAAEi0D,GAAG,EAAE,CAAC,EAAEh0D,EAAE,EAAE,WAAW3B,EAAE,MAAM,OAAO,EAAE,OAAO,EAAE,mBAAmB2B,CAAC,EAAE,IAAID,CAAC,EAAEC,CAAC,CAAC,IAAI0wG,IAAG,CAAC,WAAW9mH,GAAG,YAAY,OAAO,WAAW6mH,GAAG,EAAME,IAAI,GAAGC,IAAG9R,GAAGj1G,GAAG8mH,GAAG,EAAME,GAAG,SAASC,IAAI9yG,EAAE,CAAC6yG,GAAG7yG,EAAE,KAAK,MAAMlU,GAAG,KAAK,CAAC,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinH,IAAI/yG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,KAAKK,EAAE,SAAS,CAAC,EAAED,EAAE,CAAC,EAAE,CAAC,EAAEF,EAAE6B,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGC,EAAED,EAAEE,EAAE,EAAE,CAAC,WAAWS,EAAE,KAAKC,EAAE,aAAaC,EAAE,mBAAmBC,CAAC,EAAEg/F,GAAG,EAAExhG,EAAE,CAAC,EAAEyC,EAAEH,EAAE,GAAGE,EAAE,CAAC,IAAI4B,EAAE,EAAE,UAAU,IAAI/B,EAAE,MAAM,EAAE,GAAG+B,IAAI1C,IAAIE,EAAES,EAAEV,EAAEyC,EAAE3B,EAAE9U,EAAE,iBAAiB8U,EAAE,OAAOb,EAAE,MAAM,MAAM,EAAE,CAACjU,EAAE,2BAA2B,MAAM8U,EAAEb,EAAE,MAAM,MAAM,EAAE,GAAG,CAAC+B,EAAE,CAAC,EAAEhW,EAAE,0BAA0BiU,EAAE,MAAMa,CAAC,EAAEwE,EAAE9I,EAAE,cAAc,CAAC,EAAE,EAAE,EAAE,WAAWwF,EAAE/B,EAAE,KAAK,EAAE,GAAGzD,EAAE,cAAcyD,EAAE,KAAK,IAAI,EAAE,CAAC,IAAIwC,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGouG,GAAG7wG,EAAEsF,EAAEg5F,GAAG,EAAE,KAAK,EAAE77F,CAAC,CAAC,CAAC,GAAG5B,GAAG,EAAE,YAAYH,EAAE,MAAM,EAAE,EAAE,CAAC,IAAI+B,EAAEzW,EAAE,qBAAqB,EAAE,MAAM4U,CAAC,EAAE,EAAE,MAAM6B,CAAC,CAAC,OAAO,CAAC,CAAC,IAAIuuG,IAAG,CAAC,WAAWlnH,GAAG,YAAY,OAAO,UAAUgnH,IAAI,WAAWC,GAAG,EAAME,IAAGrS,GAAG50G,EAAE,EAAMknH,IAAGtS,GAAG30G,EAAE,EAAMknH,GAAG,SAASC,IAAIpzG,EAAE,CAACmzG,GAAGnzG,EAAE,KAAK,MAAM5T,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,QAAQ,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASinH,IAAIrzG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,EAAEK,CAAC,EAAE,EAAE,EAAEH,EAAE,UAAU,IAAIG,EAAE,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAED,EAAE2B,EAAE,IAAI,MAAM1B,EAAE,MAAM,MAAM,EAAE,QAAQuC,EAAE,EAAEA,EAAEb,EAAE,OAAOa,IAAIb,EAAEa,CAAC,EAAEvC,EAAE,MAAMuC,CAAC,EAAE,EAAEA,CAAC,EAAE,IAAIZ,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE,IAAI,WAAW,IAAI,WAAWF,CAAC,EAAE,MAAM,EAAEW,EAAExC,EAAE,WAAW6B,EAAE1B,EAAE,KAAK,EAAEsC,EAAEzC,EAAE,UAAU,IAAIwC,EAAE,MAAM,EAAE,GAAG,OAAOywG,GAAG,EAAEnxG,EAAE3B,EAAE,MAAM,OAAO4B,EAAEF,EAAE,OAAOu+F,GAAG59F,EAAE,KAAK,EAAEC,CAAC,EAAED,CAAC,CAAC,IAAI4wG,IAAG,CAAC,WAAWlnH,GAAG,YAAY,OAAO,UAAUgnH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAIxzG,EAAE,CAACuzG,GAAGvzG,EAAE,KAAK,MAAM3T,GAAG,KAAK,CAAC,SAAS,QAAQ,SAAS,SAAS,SAAS,OAAO,SAAS,QAAQ,CAAC,CAAC,CAAC,IAAIonH,IAAI,CAAC,CAAC,OAAOzzG,EAAE,QAAQ,EAAE,MAAME,CAAC,IAAI,CAAC,GAAG,CAAC,EAAEE,CAAC,EAAEJ,EAAE,CAAC,EAAEK,EAAE,OAAO,CAAC,EAAEH,EAAE,EAAE,EAAE,UAAU,IAAIE,EAAE,MAAM,EAAE,GAAG2B,EAAE,IAAI,WAAW,IAAI,WAAW3B,EAAE,KAAK,EAAE,MAAM,EAAE4B,EAAE5B,EAAE,MAAM,MAAM,EAAE4B,EAAEA,EAAE,OAAO,CAAC,EAAE3B,EAAE,IAAI4B,EAAE,EAAE,WAAWD,EAAE5B,EAAE,KAAK,EAAEsC,EAAE,EAAE,UAAU,IAAIT,EAAE,MAAM,EAAE,GAAGU,EAAE,EAAE,WAAWX,EAAE,OAAO,EAAEY,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAG,OAAO4wG,GAAG,EAAExxG,EAAE3B,EAAE,MAAM,OAAOkgG,GAAGlgG,EAAE,KAAK,EAAEC,EAAE,EAAEqC,EAAEE,CAAC,EAAE,CAACX,EAAEU,CAAC,CAAC,EAAE+wG,IAAG,CAAC,WAAWrnH,GAAG,YAAY,OAAO,UAAUmnH,IAAI,WAAWC,GAAG,EAAME,GAAG,SAASC,IAAI5zG,EAAE,CAAC2zG,GAAG3zG,EAAE,KAAK,MAAM1T,GAAG,KAAK,CAAC,SAAS,SAAS,OAAO,SAAS,SAAS,SAAS,SAAS,SAAS,SAAS,QAAQ,SAAS,QAAQ,SAAS,SAAS,SAAS,SAAS,QAAQ,CAAC,CAAC,CAAC,SAASunH,IAAI7zG,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,OAAOE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,EAAE,WAAW,CAAC,EAAEH,EAAE,CAAC,cAAc,EAAE,SAAS6B,EAAE,UAAUC,EAAE,YAAYC,CAAC,EAAE7B,EAAE,CAACsC,EAAEC,EAAEC,EAAEC,CAAC,EAAExC,EAAE,MAAM,CAACyC,EAAEkB,CAAC,EAAE/B,GAAG,KAAKA,EAAE,CAACU,EAAEC,CAAC,EAAE,EAAE,CAACF,EAAEI,EAAEkB,EAAEnB,CAAC,EAAEyE,EAAE,IAAI,WAAW,IAAI,WAAW9I,EAAE,eAAe6B,EAAE,KAAK,CAAC,EAAE,MAAM,EAAE,EAAE,IAAI,WAAW,IAAI,WAAW7B,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,EAAEiG,EAAE,EAAE,WAAW,EAAEpE,EAAE,KAAK,EAAEqE,EAAE,EAAE,UAAU,IAAID,EAAE,MAAM,EAAE,GAAGG,EAAE,EAAE,UAAU,IAAIvE,EAAE,MAAM,EAAE,GAAG0E,EAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,GAAGwC,EAAE,IAAI,UAAU,EAAE,EAAEvC,EAAE,OAAOjD,EAAE,CAAC,IAAI,WAAWiD,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,IAAI,OAAOA,EAAE,EAAE,MAAM,IAAI,UAAUA,EAAE,EAAE,MAAM,QAAQA,EAAE,EAAE,KAAK,CAAC,OAAO2uG,GAAG/uG,EAAEG,EAAE,EAAE,MAAM,CAAC,EAAE,EAAErC,EAAEI,EAAEkB,EAAEnB,EAAED,EAAED,EAAE2E,EAAEjH,EAAE,MAAM,OAAO,EAAE,EAAE,EAAE,OAAO,EAAEkH,EAAEvC,EAAEhD,EAAE0C,CAAC,EAAED,CAAC,CAAC,IAAIqvG,IAAG,CAAC,WAAWxnH,GAAG,YAAY,OAAO,UAAUsnH,IAAI,WAAWC,GAAG,EAAE,SAASE,IAAI/zG,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,QAAQE,EAAE,MAAME,CAAC,EAAEJ,EAAE,CAAC,MAAMK,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,EAAED,EAAE,EAAE,IAAI,GAAGC,EAAE,MAAM,QAAQ,IAAI,EAAEA,EAAE,MAAM,CAAC,EAAE0B,EAAE1B,EAAE,MAAM,OAAO2B,EAAE,IAAI,MAAMD,EAAE,CAAC,EAAEE,EAAE,EAAE,QAAQY,EAAE,EAAEA,EAAEd,EAAEc,IAAIA,IAAI,IAAIb,EAAEC,GAAG,EAAE5B,EAAE,MAAMwC,CAAC,GAAG,IAAIH,EAAE,IAAI,MAAM,CAAC,EAAEC,EAAE,IAAI,MAAMZ,CAAC,EAAE,KAAK,CAAC,EAAEa,EAAEvC,EAAE,MAAM,MAAM,EAAEuC,EAAE,CAAC,EAAE,EAAE,QAAQC,EAAE,EAAEA,EAAEH,EAAE,OAAOG,IAAIF,EAAE,CAAC,EAAEE,EAAEH,EAAEG,CAAC,EAAEugG,GAAG,CAAC,OAAO,CAAC,EAAE/iG,CAAC,EAAE,MAAM,CAAC,MAAMsC,EAAE,KAAKC,CAAC,EAAE,QAAQ1C,CAAC,CAAC,EAAE,OAAOwC,EAAE,IAAI,CAAC,CAAC,OAAOG,EAAE,MAAMC,CAAC,KAAK,CAAC,OAAOD,EAAE,MAAMC,EAAE,MAAMd,CAAC,EAAE,CAAC,CAAC,IAAIgyG,IAAG,CAAC,WAAWvnH,GAAG,YAAY,OAAO,WAAWsnH,GAAG,EAAE,SAASE,IAAIj0G,EAAE,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,EAAE,QAAQE,CAAC,EAAEF,EAAEI,EAAEF,EAAE,WAAW,EAAE,MAAM,EAAE,KAAK,EAAE,OAAOA,EAAE,mBAAmBE,CAAC,EAAE,KAAK,CAAC,EAAEA,CAAC,CAAC,IAAI8zG,IAAG,CAAC,WAAWrnH,GAAG,YAAY,OAAO,WAAWonH,GAAG,EAAME,IAAI,CAACxT,IAAGE,IAAGG,IAAGI,IAAGa,IAAGI,IAAGI,IAAGI,IAAGM,IAAGO,IAAGE,IAAGC,IAAGI,IAAGE,IAAGI,IAAGI,IAAGC,IAAGC,IAAGK,IAAGI,IAAGI,IAAGI,IAAGI,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGC,IAAGE,IAAGI,IAAGI,IAAGI,IAAGI,IAAGI,IAAGE,IAAGE,IAAGnH,IAAGoH,IAAGI,IAAGE,IAAGE,IAAGC,IAAGE,IAAGC,IAAGE,IAAGE,IAAGI,IAAGE,IAAGI,IAAGI,IAAGI,IAAGE,IAAGK,IAAGE,IAAGC,IAAGK,IAAGI,IAAGI,IAAGE,IAAGI,IAAGE,IAAGE,IAAGI,GAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGC,IAAGC,IAAGC,IAAGnL,IAAGuL,IAAGI,IAAGI,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGC,IAAGzM,IAAG6M,IAAGE,IAAGI,IAAGI,IAAGK,IAAGE,IAAGE,IAAGC,IAAGC,IAAGE,IAAGI,IAAGI,IAAGE,IAAGE,IAAGE,IAAGE,IAAGI,IAAGC,IAAGC,IAAGI,IAAGI,IAAGI,IAAGlS,IAAGoS,IAAGE,GAAE,EAAE,QAAQl0G,KAAKm0G,IAAI/6G,GAAG4G,CAAC,EAAE,IAAIo0G,GAAGxiH,EAAE,EAAEwiH,GAAG,aAAa,wBAAwB,SAAS,CAAC,GAAG,CAAC,OAAO,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOp0G,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAEo0G,GAAG,aAAa,+BAA+B,SAAS,CAAC,GAAGA,GAAG,IAAI,SAAS,EAAE,MAAM,GAAG,GAAG,CAAC,OAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,EAAE,YAAY,SAAS,IAAI,WAAW,CAAC,EAAE,GAAG,IAAI,IAAI,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,GAAG,EAAE,EAAE,EAAE,GAAG,EAAE,IAAI,GAAG,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC,OAAOp0G,EAAN,CAAS,MAAM,EAAE,CAAC,CAAC,EAAE,IAAIq0G,GAAG/zG,GAAGgG,GAAG,CAAC,EAAEguG,IAAGh0G,GAAGmW,GAAG,CAAC,EAAE89F,GAAGj0G,GAAGsW,GAAG,CAAC,EAAM49F,GAAGH,GAAG,SAASA,GAAGI,IAAIF,GAAG,SAASA,GAAGnzH,GAAG,cAAcsE,EAAE,CAAC,YAAYkb,EAAE,CAAC,MAAM,EAAE,KAAK,KAAKA,EAAE,KAAK,iBAAiB,EAAE,KAAK,KAAK,KAAK,qBAAqB8zG,EAAE,EAAEC,GAAG,KAAK,KAAK,KAAK,gBAAgB,EAAE,KAAK,UAAU,IAAI7xH,GAAG,KAAK6O,GAAG,CAAC,CAAC,CAAC,MAAMiP,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,CAAC,GAAG,KAAK,kBAAkB,EAAE,OAAO,KAAK,KAAKA,EAAEO,EAAEV,EAAE,EAAE,CAAC,EAAEG,CAAC,CAAC,YAAY,CAAC,OAAO,KAAK,UAAU,WAAW,CAAC,CAAC,MAAM,KAAKO,EAAE,CAAC,IAAIV,EAAE1B,EAAE,IAAI,EAAE,OAAOoC,EAAE,EAAE,CAAC,SAASpC,EAAE,IAAI,EAAE0B,CAAC,CAAC,CAAC,KAAKU,EAAEV,EAAE,EAAEG,EAAEwB,EAAE,CAAC,IAAIC,EAAE,KAAK,mBAAmB,GAAGzB,IAAI,SAAS,CAAC,IAAIqC,EAAExC,EAAE,KAAK,UAAU,IAAIU,EAAE,CAAC,GAAGkB,EAAE,YAAYY,EAAE,MAAM,EAAE,MAAMrC,EAAE,aAAa,KAAK,SAASwB,CAAC,CAAC,EAAE,MAAM,CAAC,IAAIE,EAAEvD,EAAE,cAAc,CAAC,EAAEwD,EAAED,EAAEvD,EAAE,gBAAgB6B,CAAC,EAAE,EAAE,KAAK,KAAK,QAAQ2B,CAAC,EAAE,KAAK,UAAU,IAAIpB,EAAE,CAAC,GAAGkB,EAAE,aAAa,EAAE,MAAM,EAAE,MAAMzB,EAAE,SAASwB,CAAC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeC,EAAEC,EAAE,CAAC,EAAE7B,GAAG,MAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,EAAE,OAAOA,EAAE,WAAW8B,CAAC,EAAE,CAAC,CAAC,CAAC,MAAM,KAAKpB,EAAE,CAAC,OAAO,KAAK,SAASA,CAAC,CAAC,CAAC,SAASA,EAAEV,EAAE,EAAE,CAAC,GAAG,CAAC,aAAaG,EAAE,MAAMwB,EAAE,MAAMC,EAAE,YAAYC,CAAC,EAAE,KAAK,UAAU,IAAInB,CAAC,EAAE,GAAGiB,IAAI,SAAS,OAAO3B,GAAG,MAAMA,IAAI,KAAK,GAAG,MAAM,GAAG6B,EAAE,QAAQA,EAAEA,EAAE,MAAM7B,EAAE,CAAC,EAAEA,EAAEA,GAAG,EAAE,EAAE,GAAG1B,EAAE,cAAcsD,CAAC,EAAE,IAAIE,EAAExD,EAAE,gBAAgBqD,CAAC,EAAE,EAAE,KAAK,KAAK,OAAO,MAAMxB,EAAEH,EAAE8B,EAAE3B,EAAE,EAAE2B,CAAC,EAAE,OAAO4yG,IAAI,EAAE,OAAO/yG,CAAC,CAAC,CAAC,YAAYjB,EAAEV,EAAE,GAAG,CAAC,GAAG,KAAK,UAAU,IAAIU,CAAC,EAAE,CAAC,IAAI,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,GAAG,EAAE,WAAW,CAACV,GAAG,EAAE,SAAS,EAAE,MAAM,GAAG,KAAK,KAAK,MAAM,EAAE,YAAY,EAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,EAAE,KAAK,UAAU,OAAOU,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,SAASA,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,KAAK,UAAU,IAAIA,CAAC,EAAE,SAAS,CAAC,CAAC,OAAOA,EAAE,CAAC,IAAIV,EAAE,KAAK,UAAU,IAAIU,CAAC,EAAEV,GAAG,MAAMA,EAAE,UAAU,CAAC,gBAAgB,CAAC,MAAO,GAAE,CAAC,gBAAgBU,EAAE,CAAC,OAAO,KAAK,UAAU,IAAIA,CAAC,EAAE,YAAY,CAAC,SAAS,CAAC,KAAK,KAAK,KAAK,QAAQ,EAAE,YAAY,KAAK,MAAM,KAAK,KAAK,QAAQ,oBAAoB,EAAE,KAAK,KAAK,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAC,WAAW,EAAE,CAAC,CAAC,WAAWA,EAAEV,EAAE,EAAE,CAAC,IAAIG,EAAE,GAAG,GAAG,KAAKA,EAAE,KAAK,MAAM,KAAKO,EAAEV,CAAC,MAAM,CAAC,IAAI2B,EAAE,KAAK,mBAAmBxB,EAAE,CAAC,GAAGwB,CAAC,EAAE,KAAK,UAAU,IAAIxB,EAAE,CAAC,GAAGwB,EAAE,aAAa,EAAE,MAAMjB,EAAE,MAAMV,EAAE,SAAS,CAAC,CAAC,EAAE,IAAI4B,EAAEtD,EAAE,cAAcoC,CAAC,EAAE,KAAK,KAAK,KAAK,eAAeiB,EAAEC,EAAE,CAAC,CAAC,CAAC,MAAM,CAAC,OAAOzB,EAAE,MAAMO,EAAE,MAAMV,CAAC,CAAC,CAAC,mBAAmB,CAAC,MAAMU,EAAE,MAAMV,EAAE,OAAO,CAAC,EAAE,CAAC,IAAIG,EAAE,KAAK,KAAK,OAAO,OAAO,CAAC,aAAawB,CAAC,EAAE,KAAK,UAAU,IAAI,CAAC,EAAEC,EAAEtD,EAAE,cAAcoC,CAAC,EAAE,OAAOV,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaG,EAAEwB,EAAEC,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWzB,EAAEwB,EAAEC,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB5B,GAAG,CAAC,CAAC,CAAC,EAAE,SAAS20G,IAAI70G,EAAE,CAAC,MAAM,CAAC,EAAEE,KAAK1B,EAAE,MAAMwB,EAAE,CAAC,YAAY,aAAa,CAAC,EAAE,KAAKI,GAAG,CAACA,EAAE,IAAI,EAAE,IAAI,EAAE,uCAAuCJ,IAAI,EAAEI,EAAE,YAAY,EAAE,KAAKC,GAAG,CAAC,YAAY,YAAYA,EAAE,CAAC,EAAE,KAAK,GAAG,CAACH,EAAE,EAAE,SAAS,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,SAAS40G,GAAG90G,EAAE,EAAEE,EAAE,CAAC,GAAG60G,IAAI,KAAK,OAAOA,GAAG,IAAI30G,EAAE,yBAAyB,OAAOJ,GAAG,EAAEI,EAAE,uCAAuCJ,IAAII,EAAE,+BAA+B40G,IAAI,MAAMA,GAAG50G,CAAC,GAAG,KAAK40G,GAAG50G,CAAC,EAAEF,EAAEE,CAAC,CAAC,eAAe60G,KAAI,CAAC,GAAG,CAACj1G,EAAE,CAAC,EAAE,MAAM,QAAQ,IAAI,CAACpO,EAAE,EAAE,SAAS,uBAAuB,EAAEA,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC,EAAE,OAAO,IAAI,QAAQ,CAACsO,EAAEE,IAAI,CAAC,IAAIC,EAAE,CAAC,EAAEA,EAAE,WAAW,CAAC0B,EAAEC,IAAI,CAAC,GAAGD,EAAE,SAAS,YAAY,EAAE,CAAC,IAAIE,EAAEqyG,IAAG,mBAAmB,QAAQ,MAAM,KAAK,EAAE5xG,EAAE,IAAI,KAAK,CAACT,CAAC,EAAE,CAAC,KAAK,wBAAwB,CAAC,EAAE,OAAO,IAAI,gBAAgBS,CAAC,CAAC,CAAC,OAAOX,EAAE,SAAS,OAAO,EAAE+yG,GAAG90G,EAAE,EAAEk1G,IAAI,KAAKA,GAAGlzG,CAAC,EAAEA,EAAED,CAAC,EAAEozG,KAAK90G,EAAE,gBAAgBw0G,IAAIC,GAAG90G,EAAE,EAAEk1G,IAAI,KAAKA,GAAG,EAAE,CAAC,GAAG,IAAI,EAAE,GAAG70G,EAAE,QAAQ,IAAI,CAAI,GAAG+0G,KAAUA,GAAG,GAAGh1G,EAAE,CAAC,QAAQ,iMAAiM,CAAC,EAAC,EAAE,IAAI,EAAE,GAAGJ,GAAG+0G,IAAI,MAAM10G,EAAE,oBAAoB,IAAI,KAAK,CAAC,uCAAuCm0G,GAAG,SAAS,CAAC,EAAE,CAAC,KAAK,iBAAiB,CAAC,EAAE,EAAEA,GAAGn0G,CAAC,GAAG,EAAEo0G,IAAIp0G,CAAC,EAAE,EAAE,KAAK0B,GAAG,CAAC,EAAE,GAAGqzG,GAAG,GAAG,IAAIpzG,EAAE,KAAKD,EAAE,KAAK,CAAC,KAAKA,EAAE,MAAM,OAAO,KAAK,CAAC,CAAC,EAAE,qBAAqBA,EAAE,MAAM,0BAA0B,KAAK,CAAC,QAAQ,CAAC,EAAE,gBAAgBA,EAAE,MAAM,oBAAoB,SAAS,CAAC,CAAC,EAAE,eAAeA,EAAE,MAAM,kBAAkB,KAAK,CAAC,SAAS,SAAS,QAAQ,CAAC,EAAE,YAAYA,EAAE,MAAM,eAAeC,EAAE,CAAC,QAAQ,CAAC,EAAE,QAAQD,EAAE,MAAM,UAAUC,EAAE,CAAC,CAAC,CAAC,EAAE9B,EAAE,CAAC,KAAK6B,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM3B,CAAC,CAAC,CAAC,CAAC,CAAC,SAASw0G,IAAI50G,EAAE,EAAE,CAAC,OAAO,EAAE,CAAC,IAAI,UAAU,OAAO,IAAI,aAAaA,CAAC,EAAE,IAAI,QAAQ,OAAO,IAAI,WAAWA,CAAC,EAAE,IAAI,OAAO,OAAO,IAAI,WAAWA,CAAC,EAAE,QAAQ,MAAM,IAAI,MAAM,iBAAiB,GAAG,CAAC,CAAC,CAAC,IAAIq1G,IAAI,CAAC,yBAAyB,8BAA8B,sCAAsC,EAAEN,GAAG,KAAKG,GAAG,KAAKF,GAAG,CAAC,EAAEI,GAAG,GAAGD,GAAG,GAAG,SAASr6G,IAAIkF,EAAE,EAAE,GAAG,CAAC,GAAGxP,GAAG,mGAAmG,EAAE4kH,GAAG,MAAM,IAAI,MAAM,gIAAgI,EAAEL,GAAG/0G,EAAEm1G,GAAG,CAAC,CAAC,SAASp6G,IAAIiF,EAAE,EAAE,GAAG,CAAC,GAAGo1G,GAAG,MAAM,IAAI,MAAM,iIAAiI,EAAE,GAAG,OAAOp1G,GAAG,SAASk1G,GAAGl1G,MAAM,CAACg1G,GAAGh1G,EAAE,IAAIE,EAAEm1G,IAAI,OAAOj1G,GAAG40G,GAAG50G,CAAC,GAAG,IAAI,EAAE,GAAGF,EAAE,OAAO,EAAE,MAAM,IAAI,MAAM,2DAA2DA,EAAE,KAAK,GAAG,gKAAgK,CAAC,CAACi1G,GAAG,CAAC,CAAC,IAAIT,GAAG,GAAGC,GAAG,GAAG,SAAS95G,IAAImF,EAAE,CAAC00G,GAAG10G,CAAC,CAAC,SAAS7M,KAAK,CAAC,GAAGwhH,KAAK,GAAG,MAAM,IAAI,MAAM,+BAA+B,EAAE,OAAOA,EAAE,CAAC,IAAI11G,IAAI,QAAYq2G,IAAI,EAAEr8G,GAAG,OAAO,SAAS,CAAC,GAAG,CAAC,KAAK+G,CAAC,EAAE,MAAMi1G,IAAG,EAAE,OAAO,IAAI7zH,GAAG4e,CAAC,CAAC,EAAEs1G,GAAG,EAAE,IAAIC,GAAG,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQC,IAAI,QAAQ92G,IAAI,CAAC,KAAK02G,GAAG,YAAYA,GAAG,iBAAiBC,IAAI,mBAAmBC,IAAI,qBAAqBC,IAAI,oBAAoBC,GAAG,EChxJ33e,IAAAC,GAAA,GAAAC,GAAAD,GAAA,oBAAAE,GAAA,YAAAC,GAAA,mBAAAC,GAAA,sBAAAC,GAAA,6BAAAC,GAAA,kBAAAC,GAAA,yBAAAC,GAAA,gBAAAC,GAAA,mBAAAC,IAAA,wBAAAC,IAAA,sBAAAC,MCEO,SAASC,GACdC,EACAC,EACAC,EAAW,GACX,CASA,GARAF,EAAI,UAAU,EAEdC,EAAO,MAAM,CAAC,EAAE,QAAQ,CAAC,CAAE,EAAAE,EAAG,EAAAC,CAAE,EAAGC,IAAY,CAC7C,IAAMC,EAAOL,EAAOI,CAAO,EAC3BL,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOG,EAAGC,CAAC,CACjB,CAAC,EAEGF,EAAU,CACZ,IAAMI,EAAOL,EAAOA,EAAO,OAAS,CAAC,EAC/BM,EAAKN,EAAO,CAAC,EACnB,GAAI,CAACK,GAAQ,CAACC,EACZ,OAGFP,EAAI,OAAOM,EAAK,EAAGA,EAAK,CAAC,EACzBN,EAAI,OAAOO,EAAG,EAAGA,EAAG,CAAC,CACvB,CAEAP,EAAI,OAAO,CACb,CC3BA,IAAAQ,GAAA,GAAAC,GAAAD,GAAA,+BAAAE,GAAA,mBAAAC,GAAA,iBAAAC,GAAA,WAAAC,GAAA,YAAAC,GAAA,aAAAC,GAAA,eAAAC,IAAA,eAAAC,GAAA,eAAAC,GAAA,eAAAC,GAAA,kBAAAC,GAAA,uBAAAC,GAAA,UAAAC,GAAA,UAAAC,KCOO,IAAMC,GAAN,KAAwC,CAK7C,YAAYC,EAAeC,EAAgB,CACzC,GAAI,CAACC,GAAcF,CAAK,GAAK,CAACE,GAAcD,CAAM,EAChD,MAAM,IAAI,MAAM,wFAAwF,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG7I,KAAK,OAASD,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAE5C,SAAsB,CAC3B,OAAO,IAAIF,GAAW,EAAI,KAAK,MAAO,EAAI,KAAK,MAAM,CACvD,CACF,EDvBO,SAASI,GAASC,EAAaC,EAAa,CACjD,OAAOD,aAAqBE,IAAUF,EAAO,MAAM,SAAWC,CAChE,CAEO,SAASE,IAAWH,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASI,GAAWJ,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASK,GAAWL,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASM,GAAWN,EAAoC,CAC7D,OAAOD,GAASC,EAAQ,CAAC,CAC3B,CAEO,SAASO,GAAQC,EAAa,CACnC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASC,GAAOD,EAAa,CAClC,OAAOA,EAAM,IAAM,CACrB,CAEO,SAASE,GAAMF,EAAaG,EAAO,EAAG,CAC3C,IAAMC,EAAI,IAAMD,EAChB,OAAO,KAAK,MAAMH,EAAMI,CAAC,EAAIA,CAC/B,CAEO,SAASC,GAAaC,EAAmB,CAC9C,OAAOA,GAAOA,EAAI,OAASA,EAAI,MACjC,CAEO,SAASC,GAA0B,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAgBC,EAAmB,CAC3F,IAAMC,EAAQD,EAAY,KAAK,IAAID,EAAQD,CAAK,EAChD,OAAO,IAAII,GAAW,KAAK,MAAMJ,EAAQG,CAAK,EAAG,KAAK,MAAMF,EAASE,CAAK,CAAC,CAC7E,CAEO,SAASE,GAAeC,EAAqB,CAClD,OAAOA,EAAI,OAAO,CAACC,EAAKC,IAAOD,EAAI,IAAIC,CAAE,EAAG,IAAIC,GAAM,EAAG,CAAC,CAAC,EACxD,IAAI,IAAIA,GAAMH,EAAI,OAAQA,EAAI,MAAM,CAAC,CAC1C,CAEO,SAASI,GAAMlB,EAAamB,EAAeC,EAAwB,CACxE,OAAO,MAAMpB,CAAG,EAAE,KAAK,CAAC,EAAE,IAAI,CAACqB,EAAGC,IAAMH,EAASG,EAAIF,CAAK,CAC5D,CAEO,SAASG,GAAcvB,EAAU,CACtC,MAAO,CAAC,CAACA,GAAQA,IAAQ,KAAcA,IAAQ,MAAc,CAAC,OAAO,MAAMA,CAAG,GAAKA,IAAQ,CAC7F,CAEO,SAASwB,GAAmBxB,EAAU,CAC3C,OAAOuB,GAAcvB,CAAG,GAAKA,GAAO,GAAKA,GAAO,CAClD,CEzDO,IAAMyB,GAAN,KAA8B,CAKnC,YAAYC,EAAWC,EAAW,CAChC,KAAK,GAAKD,EACV,KAAK,GAAKC,CACZ,CAEA,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAElC,IAAI,GAAY,CAAE,OAAO,KAAK,EAAI,CAE3B,IAAIC,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,IAAIA,EAAmB,CAC5B,OAAO,IAAIH,GAAM,KAAK,EAAIG,EAAG,EAAG,KAAK,EAAIA,EAAG,CAAC,CAC/C,CAEO,KAAa,CAClB,OAAO,IAAIH,GAAM,KAAK,IAAI,KAAK,CAAC,EAAG,KAAK,IAAI,KAAK,CAAC,CAAC,CACrD,CAEO,WAAoB,CACzB,OAAO,KAAK,KAAM,KAAK,GAAK,EAAM,KAAK,GAAK,CAAE,CAChD,CAEO,OAAe,CACpB,OAAO,IAAIA,GAAM,KAAK,MAAM,KAAK,CAAC,EAAG,KAAK,MAAM,KAAK,CAAC,CAAC,CACzD,CACF,ECxCO,IAAMI,GAAN,KAAwD,CAC7D,OAAc,OAAOC,EAAoB,CACvC,MAAO,CAAC,CAACA,GAAQ,CAACA,EAAK,EAAGA,EAAK,EAAGA,EAAK,MAAOA,EAAK,MAAM,EAAE,MAAMC,EAAa,CAChF,CAEA,OAAc,iBAAiBC,EAAUC,EAAgBC,EAA0B,GAAO,CACxF,GAAI,CAACL,GAAI,OAAOG,CAAG,EACjB,MAAM,IAAI,MAAM,GAAGC,oBAAyB,KAAK,UAAUD,CAAG,wDAAwD,EAGxH,GAAI,CAACE,IAA4BF,EAAI,MAAQ,GAAKA,EAAI,OAAS,GAC7D,MAAM,IAAI,MAAM,GAAGC,cAAmBD,EAAI,sBAAsBA,EAAI,kCAAkC,CAE1G,CAUA,YAAYG,EAA4BD,EAA0B,GAAM,CACtE,IAAMF,EAAOG,GAAQ,CAAC,EAEhBC,EAAS,CAACJ,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EACvEM,EAAS,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EAAE,MAAMD,EAAa,EAExE,GAAI,CAACM,GAAU,CAACD,EACd,MAAM,IAAI,MAAM,2EAA2E,KAAK,UAAUJ,CAAG,GAAG,EAGlH,GAAM,CAACM,EAAGC,EAAGC,EAAOC,CAAM,EAAIJ,EAC1B,CAACL,EAAI,EAAGA,EAAI,EAAGA,EAAI,MAAOA,EAAI,MAAM,EACpC,CAACA,EAAI,KAAMA,EAAI,IAAKA,EAAI,MAAQA,EAAI,KAAMA,EAAI,OAASA,EAAI,GAAG,EAElEH,GAAI,iBAAiB,CACnB,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAG,kBAAmBP,CAAuB,EAE7C,KAAK,GAAKI,EACV,KAAK,GAAKC,EACV,KAAK,OAASC,EACd,KAAK,QAAUC,CACjB,CAEA,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,GAAY,CAAE,OAAO,KAAK,EAAI,CAEzC,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,QAAiB,CAAE,OAAO,KAAK,OAAS,CAEnD,IAAW,MAAe,CAAE,OAAO,KAAK,CAAG,CAE3C,IAAW,KAAc,CAAE,OAAO,KAAK,CAAG,CAE1C,IAAW,OAAgB,CAAE,OAAO,KAAK,EAAI,KAAK,KAAO,CAEzD,IAAW,QAAiB,CAAE,OAAO,KAAK,EAAI,KAAK,MAAQ,CAE3D,IAAW,MAAe,CAAE,OAAO,KAAK,MAAQ,KAAK,MAAQ,CAE7D,IAAW,SAAiB,CAAE,OAAO,IAAIC,GAAM,KAAK,KAAM,KAAK,GAAG,CAAG,CAErE,IAAW,UAAkB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,GAAG,CAAG,CAEvE,IAAW,YAAoB,CAAE,OAAO,IAAIA,GAAM,KAAK,KAAM,KAAK,MAAM,CAAG,CAE3E,IAAW,aAAqB,CAAE,OAAO,IAAIA,GAAM,KAAK,MAAO,KAAK,MAAM,CAAG,CAEtE,OAAsB,CAC3B,GAAM,CAACJ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,OAAsB,CAC3B,GAAM,CAACH,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAAC,KAAK,EAAG,KAAK,EAAG,KAAK,MAAO,KAAK,MAAM,EACnE,IAAKE,GAAQ,KAAK,MAAMA,CAAG,CAAC,EAC/B,OAAO,IAAId,GAAI,CACb,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,CAAC,CACH,CAEO,UAAyB,CAC9B,GAAI,CACF,EAAAH,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KACEG,EAAO,KAAK,IAAIJ,EAAQC,CAAM,EACpC,OAAID,EAAQC,IACVH,GAAMM,EAAO,EACbJ,GAASI,GAEPH,EAASD,IACXD,GAAMK,EAAO,EACbH,GAAUG,GAGL,IAAIf,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,QAAQI,EAAuC,CACpD,IAAMC,EAASC,GAAaF,CAAC,EAAKA,EAAkB,MAAQA,EACtDG,EAASD,GAAaF,CAAC,EAAKA,EAAkB,OAASA,EAC7D,OAAO,IAAIhB,GAAI,CACb,EAAG,KAAK,EAAIiB,EACZ,EAAG,KAAK,EAAIE,EACZ,MAAO,KAAK,MAAQF,EACpB,OAAQ,KAAK,OAASE,CACxB,CAAC,CACH,CAEO,IAAIC,EAAcC,EAA4B,CACnD,GAAM,CAACZ,EAAGC,EAAGC,EAAOC,CAAM,EAAI,CAC5B,KAAK,EAAKQ,EAAO,EACjB,KAAK,EAAKC,EAAO,EACjB,KAAK,MAAQD,EACb,KAAK,OAASC,CAChB,EACA,OAAO,IAAIrB,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,mBAAmBU,EAAkBC,EAAiC,CAC3E,GAAM,CAAE,EAAAd,EAAG,EAAAC,EAAG,MAAAc,EAAO,OAAAC,CAAO,EAAI,KAC1BC,EAAW,KAAK,IAAIjB,EAAG,CAAC,EACxBkB,EAAW,KAAK,IAAIjB,EAAG,CAAC,EAExBkB,EAAWJ,EAAQE,EACnBG,EAAYJ,EAASE,EACrBG,EAAe,KAAK,IAAIF,EAAUN,EAAWI,CAAQ,EACrDK,EAAgB,KAAK,IAAIF,EAAWN,EAAYI,CAAQ,EAE9D,OAAQ,IAAI3B,GAAI,CAAE,EAAG0B,EAAU,EAAGC,EAAU,MAAOG,EAAc,OAAQC,CAAc,CAAC,EAAG,MAAM,CACnG,CAEO,MAAMC,EAAYC,EAA0B,CACjD,GAAM,CAAE,MAAAtB,EAAO,OAAAC,CAAO,EAAI,KACpBH,EAAI,KAAK,EAAIuB,EACbtB,EAAI,KAAK,EAAIuB,EAEnB,OAAO,IAAIjC,GAAI,CAAE,EAAAS,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,CAAC,CACxC,CAEO,aAAasB,EAAqBC,EAAoB,CAC3D,IAAMC,EAAI,KAAK,MAAQ,EACjBC,EAAI,KAAK,OAAS,EAElBC,EAAK,EACLC,EAAK,EACPC,EAAMJ,EACNK,EAAMJ,EAEN5B,EAAI,KAAK,KACTC,EAAI,KAAK,IACTgC,EAAK,KAAK,MACVC,EAAK,KAAK,OAEd,OAAID,EAAKP,IACPK,EAAM,CAACE,EAAKP,EAAaC,EACzBM,EAAKP,GAEHQ,EAAKT,IACPO,EAAM,CAACE,EAAKT,EAAcG,EAC1BM,EAAKT,GAEHzB,EAAI,IACNgC,EAAM,EAAIhC,EACVA,EAAI,GAEFC,EAAI,IACN+B,EAAM,EAAI/B,EACVA,EAAI,GAGC,CAAE,GAAA6B,EAAI,IAAAE,EAAK,GAAAH,EAAI,IAAAE,EAAK,EAAA9B,EAAG,GAAAiC,EAAI,EAAAlC,EAAG,GAAAiC,EAAI,EAAAN,EAAG,EAAAC,CAAE,CAChD,CAEO,UAAUO,EAAa,CAC5B,OAAO,IAAI5C,GAAI,CACb,KAAM,KAAK,KAAQ4C,EAAO,KAAO,KAAK,MACtC,IAAK,KAAK,IAAOA,EAAO,IAAM,KAAK,OACnC,MAAO,KAAK,MAASA,EAAO,MAAQ,KAAK,MACzC,OAAQ,KAAK,OAAUA,EAAO,OAAS,KAAK,MAC9C,CAAC,EAAE,SAAS,EAAE,MAAM,CACtB,CACF,EC3LO,IAAMC,GAAN,cAA0BC,EAA4B,CAC3D,YAAYC,EAAcC,EAAaC,EAAeC,EAAgBC,EAA0B,GAAO,CACrG,MAAM,CAAE,KAAAJ,EAAM,IAAAC,EAAK,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CAC7D,CACF,ECTO,IAAMC,GAAN,KAAsB,CAW3B,YACEC,EACAC,EACAC,EACAC,EACAC,EACA,CACA,KAAK,WAAa,IAAIC,GAAWD,EAAU,MAAOA,EAAU,MAAM,EAClE,KAAK,OAASJ,EACd,KAAK,YAAcC,EACnB,KAAK,WAAaC,EAClB,KAAK,KAAO,IAAII,GAAIH,CAAW,EAAE,QAAQ,KAAK,UAAU,CAC1D,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAE3D,IAAW,WAAoB,CAAE,OAAO,KAAK,UAAY,CAEzD,IAAW,KAAW,CAAE,OAAO,KAAK,IAAM,CAE1C,IAAW,WAAwB,CAAE,OAAO,KAAK,UAAY,CAE7D,IAAW,YAAqB,CAAE,OAAO,KAAK,UAAU,KAAO,CAE/D,IAAW,aAAsB,CAAE,OAAO,KAAK,UAAU,MAAQ,CAEjE,IAAW,aAAmB,CAAE,OAAO,IAAIG,GAAI,KAAK,IAAI,EAAE,QAAQ,KAAK,UAAU,QAAQ,CAAC,CAAG,CAEtF,QAAQC,EAAeC,EAAiC,CAC7D,OAAO,IAAIT,GACT,KAAK,MACL,KAAK,WACL,KAAK,UACL,KAAK,YACL,CAAE,MAAAQ,EAAO,OAAAC,CAAO,CAClB,CACF,CACF,EC5CO,IAAMC,GAAN,cAA4BC,EAAyC,CAC1E,YACEC,EACAC,EACAC,EACA,CACA,MAAMF,EAAOA,EAAO,GAAIC,EAAaC,CAAS,CAChD,CAEgB,QAAQC,EAAeC,EAA+B,CACpE,GAAM,CAAE,MAAAJ,EAAO,YAAAC,EAAa,UAAAC,CAAU,EAAI,MAAM,QAAQC,EAAOC,CAAM,EACrE,OAAO,IAAIN,GAAcE,EAAOC,EAAaC,CAAS,CACxD,CACF,ECrBO,SAASG,GAAIC,EAAWC,EAAWC,EAAQ,GAAM,CACtD,IAAMC,EAAQ,KAAK,IAAI,EAAK,KAAK,IAAIH,EAAK,MAAOC,EAAK,KAAK,EAAI,KAAK,IAAID,EAAK,KAAMC,EAAK,IAAI,CAAC,EACvFG,EAAS,KAAK,IAAI,EAAK,KAAK,IAAIJ,EAAK,OAAQC,EAAK,MAAM,EAAI,KAAK,IAAID,EAAK,IAAKC,EAAK,GAAG,CAAC,EACxFI,EAAeF,EAAQC,EAE7B,OAAOF,EACHG,GAAgBL,EAAK,KAAOC,EAAK,KAAOI,GACxCA,EAAe,KAAK,IAAIL,EAAK,KAAMC,EAAK,IAAI,CAClD,CCRO,SAASK,GAAQC,EAA4B,CAClD,IAAMC,EAAKD,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBC,EAAKH,EAAI,IAAKE,GAAOA,EAAG,CAAC,EACzBE,EAAOH,EAAG,OAAO,CAACI,EAAKC,IAAOA,EAAID,EAAMC,EAAID,EAAM,GAAQ,EAC1DE,EAAOJ,EAAG,OAAO,CAACE,EAAKG,IAAOA,EAAIH,EAAMG,EAAIH,EAAM,GAAQ,EAC1DI,EAAOR,EAAG,OAAO,CAACS,EAAKJ,IAAOI,EAAMJ,EAAIA,EAAII,EAAM,CAAC,EACnDC,EAAOR,EAAG,OAAO,CAACO,EAAKF,IAAOE,EAAMF,EAAIA,EAAIE,EAAM,CAAC,EAEzD,OAAO,IAAIE,GAAYR,EAAMG,EAAME,EAAME,CAAI,CAC/C,CCRO,SAASE,GACdC,EACAC,EACAC,EACAC,EAAQ,GACE,CACV,IAAIC,EAAuBH,EACxB,IAAI,CAACI,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,KAAK,CAACC,EAAIC,IAAOD,EAAG,MAAQC,EAAG,KAAK,EACpC,IAAKC,GAAMA,EAAE,QAAQ,EAElBC,EAAiB,CAAC,EAExB,KAAON,EAAqB,OAAS,GAAG,CACtC,IAAMO,EAAOP,EAAqB,IAAI,EACtCM,EAAK,KAAKC,CAAI,EAEd,IAAMC,EAAUR,EAEVS,EAAoB,CAAC,EAC3B,QAASC,EAAI,EAAGA,EAAIF,EAAQ,OAAQE,IAAK,CACvC,IAAMC,EAAMH,EAAQE,CAAC,EAEfE,EAAUhB,EAAMW,CAAI,EACpBM,EAASjB,EAAMe,CAAG,EAExBF,EAAQ,KAAKK,GAAIF,EAASC,EAAQd,CAAK,CAAC,CAC1C,CAEAC,EAAuBA,EAAqB,OAC1C,CAACe,EAAGC,IAAMP,EAAQO,CAAC,GAAKlB,CAC1B,CACF,CAEA,OAAOQ,CACT,CCpCO,SAASW,GAAUC,EAAgBC,EAAgC,CACxE,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAGC,EAAGC,CAAC,EAAIJ,EACZK,EAAWC,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGG,EAAG,SAAS,EACzDK,EAAWD,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGI,EAAG,SAAS,EACzDK,EAAWF,GAAK,CAAC,GAAGP,EAAE,MAAM,MAAM,EAAG,CAAC,EAAG,CAAC,EAAGK,EAAG,SAAS,EACzDK,EAAaC,GAAO,CAACL,EAAOE,EAAOC,CAAK,EAAG,CAAC,EAElD,OAAUG,GAAIZ,EAAGU,CAAO,CAC1B,CAAC,CACH,CCFO,SAASG,GAAYC,EAAwBC,EAAgB,GAAoB,CACtF,OAAUC,EAAK,IAAM,CACnB,GAAM,CAACC,EAAQC,CAAK,EAAIJ,EAAU,MAAM,MAAM,CAAC,EAC/C,GAAIG,IAAWC,EAAO,OAAOJ,EAC7B,IAAMK,EAAU,KAAK,IAAIF,EAASC,CAAK,EACjCE,EAAgB,KAAK,MAAMD,GAAWJ,EAAgB,GAAM,EAAE,EAC9DM,EAAcJ,EAASC,EAAQ,EAAI,EACnCI,EAAuBC,GAA0C,CACrE,IAAMC,EAAqBV,EAAU,MAAM,MAAM,EACjD,OAAAU,EAAmBH,CAAW,EAAIE,EACxBE,GAAKD,EAAoB,EAAG,SAAS,CACjD,EACME,EAAsBJ,EAAoBF,CAAa,EACvDO,EAAyBR,EAAWO,EAAoB,MAAML,CAAW,EAEzEO,EAAiB,CADMb,GAAiBY,EAAyBL,EAAoBK,CAAsB,EAAI,KACvEb,EAAWY,CAAmB,EACzE,OAAQG,GAAM,CAAC,CAACA,CAAC,EACjB,IAAKA,GAASC,GAAKD,EAAkB,SAAS,CAAC,EAClD,OAAUE,GAAOH,EAAgBP,CAAW,CAC9C,CAAC,CACH,CC9BO,SAASW,IAAaC,EAAmB,CAC9C,IAAMC,EAAQD,EAAW,MAAM,EAC/B,QAASE,EAAID,EAAM,OAAS,EAAGC,EAAI,EAAGA,IAAK,CACzC,IAAMC,EAAI,KAAK,MAAM,KAAK,OAAO,GAAKD,EAAI,EAAE,EACtCE,EAAIH,EAAMC,CAAC,EACjBD,EAAMC,CAAC,EAAID,EAAME,CAAC,EAClBF,EAAME,CAAC,EAAIC,CACb,CACA,OAAOH,CACT,CCFO,SAASI,GAAQC,EAAW,CACjC,MAAO,IAAK,EAAI,KAAK,IAAI,CAACA,CAAC,EAC7B,CAEO,SAASC,IAAeD,EAAW,CACxC,OAAO,KAAK,IAAIA,GAAK,EAAIA,EAAE,CAC7B,CCJO,IAAME,GAAN,cAAmBC,EAAqB,CAC7C,YAAYC,EAAWC,EAAWC,EAAeC,EAAgBC,EAA0B,GAAO,CAChG,MAAM,CAAE,EAAAJ,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,EAAGC,CAAuB,CACxD,CACF,ECHA,IAAMC,IAAO,GACPC,IAAO,IACPC,IAAW,IAOJC,GAAN,KAA8C,CAOnD,YACEC,EACAC,EACAC,EAAe,IAAIC,GAAM,EAAG,CAAC,EAC7B,CACA,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIJ,EAC1B,KAAK,SAAW,IAAIK,GAAWF,EAAOC,CAAM,EAC5C,KAAK,OAASH,EACd,KAAK,WAAaF,EAA8B,IAC7CO,GAAOA,EAAG,IAAI,IAAIJ,GAAMC,EAAOC,CAAM,CAAC,EAAE,IAAIH,CAAK,CACpD,CACF,CAEA,IAAW,OAAe,CAAE,OAAO,IAAIC,GAAM,KAAK,OAAO,EAAG,KAAK,OAAO,CAAC,CAAG,CAE5E,IAAW,YAAqB,CAAE,OAAO,KAAK,SAAS,KAAO,CAE9D,IAAW,aAAsB,CAAE,OAAO,KAAK,SAAS,MAAQ,CAEhE,IAAW,WAAqB,CAAE,OAAO,KAAK,UAAY,CAE1D,IAAW,mBAA6B,CACtC,OAAO,KAAK,WAAW,IACpBI,GAAOA,EAAG,IAAI,KAAK,MAAM,EAAE,IAAI,IAAIJ,GAAM,KAAK,WAAY,KAAK,WAAW,CAAC,CAC9E,CACF,CAEO,QAAiCC,EAAeC,EAAmB,CACxE,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAClB,CACF,CAEO,QAAiCG,EAAWC,EAAc,CAC/D,OAAO,IAAK,KAAK,YACf,KAAK,kBACL,KAAK,SACL,IAAIN,GAAMK,EAAGC,CAAC,CAChB,CACF,CAEO,aAAsCF,EAAc,CACzD,OAAO,KAAK,QAAQA,EAAG,EAAGA,EAAG,CAAC,CAChC,CAaO,MACLG,EACAC,EAAkE,CAAE,EAC/D,CACL,GAAID,EAAW,CACb,IAAME,EAAMF,aAAqBG,GAC7BH,EAAU,IAAI,MAAM,EACpB,IAAII,GAAIJ,CAAS,EAErB,OAAO,KAAK,QAAQE,EAAI,EAAGA,EAAI,CAAC,EAAE,MAAM,KAAMD,CAAO,CACvD,CAEA,GAAM,CAAE,iBAAAI,EAAkB,cAAAC,CAAc,EAAI,CAAE,iBAAkB,GAAO,cAAe,GAAK,GAAGL,CAAQ,EAEtG,OAAII,EACK,KAAK,UAAU,EAGjB,KAAK,aAAaC,CAAa,CACxC,CAEQ,WAAiB,CACvB,IAAMC,EAAU,KAAK,yBAAyB,EAExC,CAACC,EAAeC,EAAgBC,CAAW,EAAIH,EAC/CI,EAAed,GAAca,EAAY,IAAIb,CAAE,EAAE,UAAU,EAC3De,GAAkBD,EAAYH,CAAa,EAAIG,EAAYF,CAAc,GAAK,EAE9EI,EAAO,KAAK,MAAMD,EAAiBxB,GAAQ,EAE3C0B,EAAWC,GAAeR,CAAO,EAEjCT,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGgB,EAAS,EAAK5B,IAAO2B,CAAK,CAAC,EACtDd,EAAI,KAAK,MAAM,KAAK,IAAI,EAAGe,EAAS,EAAK3B,IAAO0B,CAAK,CAAC,EAE5D,OAAO,IAAIG,GAAKlB,EAAGC,EAAG,KAAK,IAAIc,EAAM,KAAK,WAAaf,CAAC,EAAG,KAAK,IAAIe,EAAM,KAAK,YAAcd,CAAC,CAAC,CACjG,CAEQ,aAAakB,EAAsB,CACzC,IAAMf,EAAMgB,GAAQ,KAAK,SAAS,EAClC,OAAOhB,EAAI,IAAIA,EAAI,MAAQe,EAASf,EAAI,OAASe,CAAO,CAC1D,CAEU,0BAAoC,CAC5C,MAAM,IAAI,MAAM,wDAAwD,CAC1E,CACF,EC7HO,IAAME,GAAN,cAA6BC,EAAc,CAC7B,0BAAoC,CACrD,IAAMC,EAAM,KAAK,UACjB,MAAO,CACLA,EAAI,CAAC,EACLA,EAAI,CAAC,EACLC,GAAe,CAACD,EAAI,CAAC,EAAGA,EAAI,CAAC,CAAC,CAAC,CACjC,CACF,CACF,ECTO,IAAME,GAAN,cAA8BC,EAAc,CAC1C,eAAyB,CAC9B,OAAO,KAAK,UAAU,MAAM,EAAG,EAAE,CACnC,CAEO,gBAA0B,CAC/B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,iBAA2B,CAChC,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,SAAmB,CACxB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,YAAsB,CAC3B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,aAAuB,CAC5B,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEO,UAAoB,CACzB,OAAO,KAAK,UAAU,MAAM,GAAI,EAAE,CACpC,CAEmB,0BAAoC,CACrD,MAAO,CACL,KAAK,WAAW,EAChB,KAAK,YAAY,EACjB,KAAK,SAAS,CAChB,EAAE,IAAIC,EAAc,CACtB,CACF,ECjCO,IAAMC,GAAN,KAAsC,CAI3C,YAAYC,EAAeC,EAAkB,CAC3C,KAAK,OAASD,EACd,KAAK,UAAYC,CACnB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,UAAmB,CAAE,OAAO,KAAK,SAAW,CAEhD,SAASC,EAAe,GAAc,CAC3C,MAAO,GAAG,KAAK,QAAQA,EAAe,KAAKC,GAAM,KAAK,QAAQ,KAAO,IACvE,CACF,EClBO,IAAMC,GAAN,cAAyBC,EAAI,CAUlC,YAAYC,EAAiCC,EAAe,CAC1D,MAAMD,CAAG,EACT,KAAK,OAASC,CAChB,CAZA,OAAc,wBAAwBD,EAAUE,EAAgB,CAE9D,GADAH,GAAI,iBAAiBC,EAAKE,CAAM,EAC5B,CAACC,GAAcH,EAAI,KAAK,EAC1B,MAAM,IAAI,MAAM,GAAGE,gCAAqCF,EAAI,uBAAuB,CAEvF,CASA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CACnD,ECrBO,IAAMI,GAAN,KAA6B,CAKlC,YAAYC,EAAeC,EAA6B,CACtD,GAAM,OAAOD,GAAU,SACrB,MAAM,IAAI,MAAM,oEAAoE,EAGtF,GAAI,CAAC,MAAM,QAAQC,CAAW,GAAKA,EAAY,KAAMC,GAAS,EAAEA,aAAgB,aAAa,EAC3F,MAAM,IAAI,MAAM,0FAA0F,EAG5G,KAAK,OAASF,EACd,KAAK,aAAeC,CACtB,CAEA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,aAA8B,CAAE,OAAO,KAAK,YAAc,CAE9D,QAAc,CACnB,MAAO,CACL,MAAO,KAAK,MACZ,YAAa,KAAK,YAAY,IAAKE,GAAM,MAAM,KAAKA,CAAC,CAAC,CACxD,CACF,CAEA,OAAc,SAASC,EAAmC,CACxD,IAAMH,EAAcG,EAAK,YAAY,IAAKD,GAAW,IAAI,aAAaA,CAAC,CAAC,EACxE,OAAO,IAAIJ,GAAuBK,EAAK,MAAOH,CAAW,CAC3D,CACF,EC5BO,IAAMI,GAAN,cAA2BC,EAAW,CAgB3C,YAAYC,EAAiCC,EAAeC,EAAeC,EAAoB,CAC7F,MAAMH,EAAKC,CAAK,EAChB,KAAK,OAASC,EACd,KAAK,YAAcC,CACrB,CAnBA,OAAc,0BAA0BH,EAAUI,EAAgB,CAGhE,GAFAL,GAAW,wBAAwBC,EAAKI,CAAM,EAG5C,CAACC,GAAmBL,EAAI,KAAK,GAC1B,CAACK,GAAmBL,EAAI,UAAU,EAErC,MAAM,IAAI,MAAM,GAAGI,kCAAuCJ,EAAI,eAAeA,EAAI,2CAA2C,CAEhI,CAYA,IAAW,OAAgB,CAAE,OAAO,KAAK,MAAQ,CAEjD,IAAW,YAAqB,CAAE,OAAO,KAAK,WAAa,CAC7D,ECxBO,SAASM,GAAoBC,EAAwC,CAC1E,OAAOA,EAAI,qBAAqBC,EAClC,CAEO,SAASC,GAAiCC,EAAoBC,EAAsD,CAEzH,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAC,CAAU,CACM,CACtC,CCXO,SAASC,IAAgC,CAC9C,IAAMC,EAAQ,OAAO,MACrB,GAAI,CAACA,EAAO,MAAM,IAAI,MAAM,8DAA8D,EAM1F,MAAO,CACL,OAAQ,kBACR,yBACA,MAAO,iBACP,UACA,MAAO,iBACP,oBAAqB,IAAM,SAAS,cAAc,QAAQ,EAC1D,mBAAoB,IAAM,SAAS,cAAc,KAAK,EACtD,mBAAoB,IAAM,SAAS,cAAc,OAAO,EACxD,MAAAA,EACA,SAde,IAAM,CACrB,MAAM,IAAI,MAAM,6DAA6D,CAC/E,CAaA,CACF,CCtBO,SAASC,IAAoB,CAClC,OAAO,OAAO,QAAW,UACpB,OAAO,SAAY,aACnB,QAAQ,UAAY,MACpB,QAAQ,SAAS,MAAQ,IAChC,CCFO,SAASC,GAAiBC,EAAsB,CACrD,IAAIC,EAAiB,GACrB,GAAI,CAACD,GAAME,GAAS,EAClB,GAAI,CAEFF,EAAK,GAAQ,IAAI,CACnB,OAASG,EAAP,CACAF,EAAkBE,EAAY,SAAS,CACzC,CAMF,MAAO,CAAE,SAHQH,EACZI,GAAqB,IAAI,QAAQ,CAACC,EAASC,IAAW,CAAEN,EAAG,SAASI,EAAU,CAACD,EAAUI,IAAYJ,EAAMG,EAAOH,CAAG,EAAIE,EAAQE,CAAM,CAAE,CAAG,CAAC,EAC9I,IAAM,CAAE,MAAM,IAAI,MAAM,qEAAqEN,GAAgB,CAAG,CAClG,CACpB,CCdO,SAASO,IAA+B,CAE7C,IAAMC,EAAS,OAAO,QAAa,OAAO,kBACpCC,EAAQ,OAAO,OAAS,OAAO,iBAE/BC,EAAQ,OAAO,OAAY,OAAO,iBAElCC,EAAsB,IAAM,CAChC,GAAIH,EAAQ,OAAO,IAAIA,EACvB,MAAM,IAAI,MAAM,4EAA4E,CAC9F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAqB,IAAM,CAC/B,GAAIH,EAAO,OAAO,IAAIA,EACtB,MAAM,IAAI,MAAM,0EAA0E,CAC5F,EAEMI,EAAQ,OAAO,MAGfC,EAAaC,GAAiB,EAEpC,MAAO,CACL,OAAQR,GAAU,KAAM,CAAC,EACzB,yBAA0B,OAAO,0BAA4B,KAAM,CAAC,EACpE,MAAOC,GAAS,KAAM,CAAC,EACvB,UAAW,OAAO,WAAa,KAAM,CAAC,EACtC,MAAO,OAAO,kBAAoB,KAAM,CAAC,EACzC,oBAAAE,EACA,mBAAAC,EACA,mBAAAC,EACA,MAAAC,EACA,GAAGC,CACL,CACF,CC3CO,SAASE,IAAqB,CACnC,OAAO,OAAO,QAAW,UACpB,OAAO,UAAa,aACpB,OAAO,kBAAqB,aAC5B,OAAO,mBAAsB,aAC7B,OAAO,kBAAqB,aAC5B,OAAO,WAAc,aACrB,OAAO,0BAA6B,WAC3C,CCDA,IAAIC,GAEJ,SAASC,KAAsB,CAC7B,GAAI,CAACD,GACH,MAAM,IAAI,MAAM,uEAAuE,EAEzF,OAAOA,EACT,CAEA,SAASE,GAAOC,EAAkB,CAChCH,GAAcG,CAChB,CAEA,SAASC,IAAa,CAGpB,OAAIC,GAAU,EAAUH,GAAOI,GAAiB,CAAC,EAC7CC,GAAS,EAAUL,GAAOM,GAAgB,CAAC,EACxC,IACT,CAEA,SAASC,IAAYN,EAA2B,CAK9C,GAJKH,IACHI,GAAW,EAGT,CAACJ,GACH,MAAM,IAAI,MAAM,4EAA4E,EAG9F,GAAM,CAAE,OAAAU,EAASV,GAAY,OAAQ,MAAAW,EAAQX,GAAY,KAAM,EAAIG,EACnEH,GAAY,OAASU,EACrBV,GAAY,MAAQW,EACpBX,GAAY,oBAAsBG,EAAI,sBAAwB,IAAM,IAAIO,GACxEV,GAAY,mBAAqBG,EAAI,qBAAuB,IAAM,IAAIQ,GAEtEX,GAAY,UAAYG,EAAI,WAAaH,GAAY,UACrDA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,MAAQG,EAAI,OAASH,GAAY,MAC7CA,GAAY,SAAWG,EAAI,UAAYH,GAAY,QACrD,CAEO,IAAMG,GAAM,CACjB,OAAAF,IACA,OAAAC,GACA,WAAAE,GACA,iBAAAE,GACA,iBAAAM,GACA,gBAAAJ,GACA,YAAAC,IACA,UAAAJ,GACA,SAAAE,EACF,EAEAH,GAAW,EC3DJ,SAASS,GAAaC,EAAmB,CAC9C,MAAI,CAACC,GAAI,SAAS,GAAK,OAAOD,GAAQ,SAC7B,SAAS,eAAeA,CAAG,EAE7BA,CACT,CCJO,SAASE,GAAoBC,EAA4F,CAC9H,GAAM,CAAE,OAAAC,EAAQ,yBAAAC,CAAyB,EAAIC,GAAI,OAAO,EAExD,GAAIH,aAAqBE,EACvB,OAAOF,EAGT,IAAMI,EAASC,GAAaL,CAAS,EAErC,GAAI,EAAEI,aAAkBH,GACtB,MAAM,IAAI,MAAM,gEAAgE,EAGlF,IAAMK,EAAMF,EAAO,WAAW,IAAI,EAClC,GAAI,CAACE,EACH,MAAM,IAAI,MAAM,8CAA8C,EAGhE,OAAOA,CACT,CChBO,IAAKC,QAEVA,EAAA,SAAW,WAEXA,EAAA,UAAY,YAEZA,EAAA,YAAc,cAEdA,EAAA,aAAe,eARLA,QAAA,IAoBCC,GAAN,KAA4D,CAajE,YAAYC,EAAiC,CAAC,EAAG,CAC/C,GAAM,CACJ,eAAAC,EAAgB,gBAAAC,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnE,EAAIN,EACJ,KAAK,eAAiBC,GAAkB,WACxC,KAAK,gBAAkBC,GAAmB,qBAC1C,KAAK,UAAYC,GAAa,yBAC9B,KAAK,SAAWC,GAAY,GAC5B,KAAK,UAAYC,GAAa,UAC9B,KAAK,QAAUC,GAAW,CAC5B,CACF,EAEaC,GAAN,KAAoB,CAOzB,YACEC,EACAC,EACAT,EAAiC,CAAC,EAClC,CAEA,KAAK,KAAO,OAAOQ,GAAS,SACxB,CAACA,CAAI,EACJA,aAAgBD,GAAgBC,EAAK,KAAOA,EACjD,KAAK,OAASC,EACd,KAAK,QAAU,IAAIV,GAAqBC,CAAO,CACjD,CAEA,aAAaU,EAAuC,CAClD,GAAM,CAAE,QAAAJ,CAAQ,EAAI,KAAK,QACzB,OAAO,KAAK,KAAK,IAAKK,GAAMD,EAAI,YAAYC,CAAC,EAAE,KAAK,EAAE,OAAO,CAACC,EAAIC,IAAQD,EAAKC,EAAKA,EAAKD,EAAK,CAAC,EAAK,EAAIN,CAC1G,CAEA,eAAwB,CACtB,GAAM,CAAE,SAAAF,EAAU,QAAAE,CAAQ,EAAI,KAAK,QACnC,OAAO,KAAK,KAAK,OAASF,EAAY,EAAIE,CAC5C,CAEA,aAAaI,EAA+BI,EAAkC,CAC5E,GAAM,CAAE,eAAAb,CAAe,EAAI,KAAK,QAC1Bc,EAAcd,IAAmB,gBAA+BA,IAAmB,YACnFe,EAAaf,IAAmB,eAA8BA,IAAmB,eAEjFgB,EAAiB,KAAK,aAAaP,CAAG,EACtCQ,EAAkB,KAAK,cAAc,EACrCC,EAAKJ,EAAc,KAAK,OAAO,EAAIE,EAAiB,KAAK,OAAO,EAChEG,EAAIJ,EAAa,KAAK,OAAO,EAAIE,EAAkB,KAAK,OAAO,EAGrE,GAAIJ,EAAY,CACd,GAAM,CAAE,MAAAO,EAAO,OAAAC,CAAO,EAAIR,EACpBS,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAAQJ,CAAc,EAAG,CAAC,EACtDO,EAAO,KAAK,IAAI,KAAK,IAAIJ,EAAGE,EAASJ,CAAe,EAAG,CAAC,EAC9D,MAAO,CAAE,EAAGK,EAAM,EAAGC,CAAK,CAC5B,CACA,MAAO,CAAE,EAAAL,EAAG,EAAAC,CAAE,CAChB,CAEA,KAAKK,EAAkE,CACrE,IAAMC,EAASC,GAAaF,CAAS,EAC/Bf,EAAMkB,GAAoBF,CAAM,EAEhC,CACJ,gBAAAxB,EAAiB,UAAAC,EAAW,SAAAC,EAAU,UAAAC,EAAW,QAAAC,CACnD,EAAI,KAAK,QAETI,EAAI,KAAO,GAAGN,OAAcC,IAC5B,IAAMwB,EAAe,KAAK,aAAanB,CAAG,EACpCoB,EAAa,KAAK,cAAc,EAEtCpB,EAAI,UAAYR,EAChB,IAAM6B,EAAY,KAAK,aAAarB,EAAKgB,CAAM,EAC/ChB,EAAI,SAASqB,EAAU,EAAGA,EAAU,EAAGF,EAAcC,CAAU,EAE/DpB,EAAI,UAAYP,EAChB,KAAK,KAAK,QAAQ,CAAC6B,EAAUC,IAAM,CACjC,IAAMd,EAAIb,EAAUyB,EAAU,EACxBX,EAAId,EAAUyB,EAAU,GAAME,EAAI,GAAK7B,EAC7CM,EAAI,SAASsB,EAAUb,EAAGC,CAAC,CAC7B,CAAC,CACH,CACF,ECjHO,IAAMc,GAAN,KAAqB,CAS1B,YAAYC,EAA2B,CAAC,EAAG,CACzC,GAAM,CACJ,SAAAC,EAAU,UAAAC,EAAW,MAAAC,EAAO,iBAAAC,CAC9B,EAAIJ,EACJ,KAAK,SAAWC,GAAY,qBAC5B,KAAK,UAAYC,GAAa,EAC9B,KAAK,MAAQC,EAEb,IAAME,EAA0B,CAC9B,6BACA,gBAAiB,KAAK,QACxB,EACA,KAAK,iBAAmB,IAAIC,GAAqB,CAAE,GAAGD,EAAyB,GAAGD,CAAiB,CAAC,CACtG,CACF,EAEaG,GAAN,KAAc,CAKnB,YACEC,EACAR,EAA2B,CAAC,EAC5B,CACA,KAAK,IAAM,IAAIS,GAAID,CAAG,EACtB,KAAK,QAAU,IAAIT,GAAeC,CAAO,CAC3C,CAEA,KAAKU,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CAAE,SAAAT,EAAU,UAAAC,CAAU,EAAI,KAAK,QAE/B,CACJ,EAAAW,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CACf,EAAI,KAAK,IACTL,EAAI,YAAcV,EAClBU,EAAI,UAAYT,EAChBS,EAAI,WAAWE,EAAGC,EAAGC,EAAOC,CAAM,EAElC,GAAM,CAAE,MAAAb,CAAM,EAAI,KAAK,QACnBA,GACF,IAAIc,GAAc,CAACd,CAAK,EAAG,CAAE,EAAGU,EAAKX,EAAY,EAAI,EAAAY,CAAE,EAAG,KAAK,QAAQ,gBAAgB,EAAE,KAAKJ,CAAS,CAE3G,CACF,EC3DO,SAASQ,IACdC,EACAC,EACA,EACwB,MAAM,QAAQA,CAAU,EAAIA,EAAa,CAACA,CAAU,GAE5D,QAASC,GAAQ,CAE/B,IAAMC,EAAQD,aAAeE,GACzBF,EAAI,MACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,MAAQ,OAGhDI,EAAMJ,aAAeE,GACvBF,EAAI,IACHG,GAAoBH,CAAG,EAAIA,EAAI,UAAU,IAAM,IAAIK,GAAIL,CAAG,EAEzDM,EAAQL,EAAQ,GAAGM,GAAMN,CAAK,IAAM,OAC1C,IAAIO,GAAQJ,EAAK,CAAE,MAAAE,CAAM,CAAC,EAAE,KAAKR,CAAS,CAC5C,CAAC,CACH,CC1BO,SAASW,GAAcC,EAAsD,CAClF,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAQH,aAAiBC,GAASD,EAAM,UAClCA,aAAiBE,GAASF,EAAM,YAAc,CACtD,CCJO,SAASI,GAAiBC,EAAgE,CAE/F,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,EAClCF,aAAiBG,GAAI,OAAO,EAAE,QAAUC,GAAcJ,CAAK,IAAGC,EAAQ,IAAI,EAE9E,SAASI,EAAQC,EAAU,CACpBA,EAAE,gBAEPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDH,EAAOI,CAAC,EACV,CAEA,SAASC,EAAOD,EAAU,CACnBA,EAAE,gBACPA,EAAE,cAAc,oBAAoB,OAAQC,CAAM,EAClDD,EAAE,cAAc,oBAAoB,QAASD,CAAO,EACpDJ,EAAQK,CAAC,EACX,CAEAN,EAAM,iBAAiB,OAAQO,CAAM,EACrCP,EAAM,iBAAiB,QAASK,CAAO,CACzC,CAAC,CACH,CCxBO,SAASG,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAChG,IAAMC,EAAS,IAAI,WACnBA,EAAO,OAAS,IAAM,CAChB,OAAOA,EAAO,QAAW,UAAUD,EAAO,IAAI,MAAM,kEAAkE,CAAC,EAC3H,IAAME,EAAMC,GAAI,OAAO,EAAE,mBAAmB,EAC5CD,EAAI,OAAS,IAAMH,EAAQG,CAAG,EAC9BA,EAAI,QAAUF,EACdE,EAAI,IAAMD,EAAO,MACnB,EACAA,EAAO,QAAUD,EACjBC,EAAO,cAAcH,CAAG,CAC1B,CAAC,CACH,CCbO,SAASM,GAAmBC,EAA0F,CAC3H,GAAM,CAAE,MAAAC,EAAO,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAEpC,OAAIH,aAAiBC,EACZ,IAAIG,GAAWJ,EAAM,aAAcA,EAAM,aAAa,EAE3DA,aAAiBE,EACZ,IAAIE,GAAWJ,EAAM,WAAYA,EAAM,WAAW,EAEpD,IAAII,GAAWJ,EAAM,MAAOA,EAAM,MAAM,CACjD,CCPO,SAASK,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAmC,CAC9E,GAAM,CAAE,oBAAAC,CAAoB,EAAIC,GAAI,OAAO,EACrCC,EAASF,EAAoB,EACnC,OAAAE,EAAO,MAAQJ,EACfI,EAAO,OAASH,EACTG,CACT,CAEO,SAASC,GAAsBC,EAAwDC,EAAuC,CACnI,GAAM,CAAE,UAAAC,CAAU,EAAIL,GAAI,OAAO,EAEjC,GAAI,EAAEG,aAAiBE,IAAc,CAACC,GAAcH,CAAK,EACvD,MAAM,IAAI,MAAM,4DAA4D,EAG9E,GAAM,CAAE,MAAAN,EAAO,OAAAC,CAAO,EAAIM,GAAQG,GAAmBJ,CAAK,EACpDF,EAASL,GAAa,CAAE,MAAAC,EAAO,OAAAC,CAAO,CAAC,EAE7C,OAAIK,aAAiBE,EACnBG,GAAoBP,CAAM,EAAE,aAAaE,EAAO,EAAG,CAAC,EAEpDK,GAAoBP,CAAM,EAAE,UAAUE,EAAO,EAAG,EAAGN,EAAOC,CAAM,EAE3DG,CACT,CCzBA,eAAsBQ,GACpBC,EACAC,EAC4B,CAC5B,IAAMC,EAAeD,GAAUE,GAAI,OAAO,EAAE,oBAAoB,EAE1D,CAACC,EAAQC,EAAOC,CAAW,EAAIN,EAAU,MAAM,MAAMO,GAAWP,CAAS,EAAI,EAAI,CAAC,EAClFQ,EAAiBC,EAAK,IAAMT,EAAU,KAAKI,EAAQC,EAAOC,CAAW,EAAE,MAAM,CAAC,EACpF,aAASI,GAAW,SAASF,EAAaN,CAAY,EAEtDM,EAAY,QAAQ,EAEbN,CACT,CChBO,SAASS,GAAeC,EAAY,CACzC,GAAM,CAAE,MAAAC,EAAO,OAAAC,EAAQ,MAAAC,CAAM,EAAIC,GAAI,OAAO,EAE5C,OAAOJ,aAAiBC,GACnBD,aAAiBE,GACjBF,aAAiBG,CACxB,CCHO,SAASE,GAAcC,EAA6CC,EAAmBC,EAAc,GAAO,CACjH,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAErC,GAAI,EAAEL,aAAiBG,GAASH,aAAiBI,GAC/C,MAAM,IAAI,MAAM,0EAA0E,EAG5F,GAAIH,GAAa,EAAG,OAAOK,GAAa,CAAE,MAAO,EAAG,OAAQ,CAAE,CAAC,EAC/D,IAAMC,EAAOC,GAAmBR,CAAK,EAC/BS,EAAQR,EAAY,KAAK,IAAIM,EAAK,OAAQA,EAAK,KAAK,EACpDG,EAAQD,EAAQF,EAAK,MACrBI,EAASF,EAAQF,EAAK,OAEtBK,EAAeN,GAAa,CAAE,MAAOL,EAAW,OAAQA,CAAU,CAAC,EACnEY,EAAcb,aAAiBI,EAASJ,EAAQc,GAAsBd,CAAK,EAE3Ee,EAAS,KAAK,IAAIL,EAAQC,CAAM,EAAI,EACpCK,EAAKd,GAAeQ,EAAQC,EAASI,EAAS,EAC9CE,EAAKf,GAAeS,EAASD,EAAQK,EAAS,EACpD,OAAIF,EAAY,MAAQ,GAAKA,EAAY,OAAS,GAAGK,GAAoBN,CAAY,EAAE,UAAUC,EAAaG,EAAIC,EAAIP,EAAOC,CAAM,EAE5HC,CACT,CCjBO,IAAMO,GAAN,KAAe,CAapB,YAAYC,EAAkCC,EAAoB,GAAO,CAZzE,KAAQ,cAAkD,CAAC,EAE3D,KAAQ,UAAiC,CAAC,EAI1C,KAAQ,mBAAqB,GAE7B,KAAQ,iBAA+B,CAAC,EAExC,KAAQ,WAAa,EAGnB,GAAI,CAAC,MAAM,QAAQD,CAAM,EACvB,MAAM,IAAI,MAAM,4HAA4HA,GAAQ,EAGtJ,KAAK,mBAAqBC,EAC1B,KAAK,WAAaD,EAAO,OAEzBA,EAAO,QAAQ,CAACE,EAAOC,IAAQ,CAC7B,GAAIC,GAAWF,CAAK,EAAG,CACrB,KAAK,cAAcC,CAAG,EAAID,EAC1B,KAAK,iBAAiBC,CAAG,EAAID,EAAM,MACnC,MACF,CAEA,GAAIG,GAAWH,CAAK,EAAG,CACrB,IAAMI,EAAaJ,EAAc,MAAM,CAAC,EACxC,GAAII,IAAc,EAChB,MAAM,IAAI,MAAM,yCAAyCA,4CAAoD,EAG/G,KAAK,cAAcH,CAAG,EAAID,EAC1B,KAAK,iBAAiBC,CAAG,EAAKD,EAAc,MAAM,MAAM,CAAC,EACzD,MACF,CAGA,IAAMK,EAAUL,aAAyBM,GAAI,OAAO,EAAE,OAASN,EAAQO,GAAsBP,CAAK,EAClG,KAAK,UAAUC,CAAG,EAAII,EACtB,KAAK,iBAAiBJ,CAAG,EAAI,CAACI,EAAO,OAAQA,EAAO,MAAO,CAAC,CAC9D,CAAC,CACH,CAEA,IAAW,cAAiD,CAC1D,OAAO,KAAK,aACd,CAEA,IAAW,UAAgC,CACzC,OAAO,KAAK,SACd,CAEA,IAAW,cAAwB,CACjC,OAAO,KAAK,UAAY,GAAK,KAAK,kBACpC,CAEA,IAAW,WAAoB,CAC7B,OAAO,KAAK,UACd,CAEA,IAAW,iBAA8B,CACvC,OAAO,KAAK,gBACd,CAEA,IAAW,WAAgC,CACzC,OAAO,KAAK,UACd,CAEA,IAAW,yBAAwC,CACjD,OAAOG,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IACjC,CAACC,EAAGC,IAAa,KAAK,2BAA2BA,CAAQ,CAC3D,CACF,CAEO,SAASA,EAAiE,CAC/E,OAAO,KAAK,SAASA,CAAQ,GAAK,KAAK,aAAaA,CAAQ,CAC9D,CAEO,mBAAmBA,EAA4B,CACpD,OAAO,KAAK,iBAAiBA,CAAQ,CACvC,CAEO,eAAeA,EAA0B,CAC9C,OAAO,KAAK,iBAAiBA,CAAQ,EAAE,CAAC,CAC1C,CAEO,cAAcA,EAA0B,CAC7C,OAAO,KAAK,iBAAiBA,CAAQ,EAAE,CAAC,CAC1C,CAEO,2BAA2BA,EAA8B,CAC9D,GAAI,OAAO,KAAK,WAAc,SAC5B,MAAM,IAAI,MAAM,uFAAuF,EAGzG,IAAMC,EAAQ,KAAK,cAAcD,CAAQ,EACnCE,EAAS,KAAK,eAAeF,CAAQ,EAC3C,OAAOG,GAA0B,CAAE,MAAAF,EAAO,OAAAC,CAAO,EAAG,KAAK,SAAS,CACpE,CAWO,cAAcE,EAAmBC,EAAiB,GAAmB,CAC1E,YAAK,WAAaD,EAERE,EAAK,IAAM,CACnB,IAAMC,EAAeT,GAAM,KAAK,UAAW,EAAG,CAAC,EAAE,IAAKE,GAAa,CACjE,IAAMV,EAAQ,KAAK,SAASU,CAAQ,EAEpC,GAAIV,aAAoBkB,GAAQ,CAC9B,IAAIC,EAAYhB,GAAWH,CAAK,EAAIA,EAAWoB,GAAWpB,CAAK,EAC/D,OAAAmB,EAAYE,GAAYF,EAA0BJ,CAAc,GAE5DI,EAAU,MAAM,CAAC,IAAML,GAAaK,EAAU,MAAM,CAAC,IAAML,KAC7DK,EAAeG,GAAS,eAAeH,EAA0B,CAACL,EAAWA,CAAS,EAAG,GAAO,EAAK,GAGhGK,EAAU,KAAKL,EAAWA,EAAW,CAAC,CAC/C,CAEA,GAAId,aAAiBM,GAAI,OAAO,EAAE,OAChC,OAAUiB,GAAW,WAAWC,GAAcxB,EAAOc,EAAWC,CAAc,CAAC,EAGjF,MAAM,IAAI,MAAM,+BAA+BL,8FAAqGV,GAAO,CAC7J,CAAC,EAKD,OAHuByB,GAAMR,EAAa,IAAKS,GAASC,GAAKD,EAAG,SAAS,CAAC,CAAC,EAAE,KAAK,KAAK,UAAWZ,EAAWA,EAAW,CAAC,CAI3H,CAAC,CACH,CACF,EC1IA,eAAsBc,GAAWC,EAAsC,CACrE,GAAIA,aAAkBC,GAAU,OAAOD,EACvC,IAAME,EAAgB,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC9D,GAAI,CAACE,EAAc,OAAQ,MAAM,IAAI,MAAM,0CAA0C,EACrF,IAAMC,EAAcC,GAAiB,MAAM,QAAQJ,CAAM,EAAI,mBAAmBI,KAAS,GACnFC,EAAaH,EAAc,IAAII,EAAY,EACjD,OAAAD,EAAW,QAAQ,CAACE,EAAOC,IAAM,CAC/B,GAAI,CAACC,GAAeF,CAAK,GAAK,CAACG,GAAWH,CAAK,GAAK,CAACI,GAAWJ,CAAK,EACnE,MAAI,OAAOL,EAAcM,CAAC,GAAM,SAAgB,IAAI,MAAM,eAAeL,EAAWK,CAAC,qEAAqEN,EAAcM,CAAC,GAAG,EACtK,IAAI,MAAM,eAAeL,EAAWK,CAAC,8HAA8H,EAE3K,GAAIG,GAAWJ,CAAK,EAAG,CAErB,IAAMK,EAAYL,EAAM,MAAM,CAAC,EAC/B,GAAIK,IAAc,EAAG,MAAM,IAAI,MAAM,eAAeT,EAAWK,CAAC,gCAAgCI,4CAAoD,CACtJ,CACF,CAAC,EAED,MAAM,QAAQ,IAAIP,EAAW,IAAKE,GAAUE,GAAeF,CAAK,GAAKM,GAAiBN,CAAK,CAAC,CAAC,EACtF,IAAIN,GAASI,EAAY,MAAM,QAAQL,CAAM,CAAC,CACvD,CClBA,eAAsBc,GAAaC,EAAkBC,EAAuE,CAC1H,GAAM,CAAE,OAAAC,CAAO,EAAIC,GAAI,OAAO,EAC1BC,EAASJ,EACb,GAAI,EAAEA,aAAiBE,GAAS,CAC9B,IAAMG,EAAW,MAAMC,GAAWN,CAAK,EACvC,GAAIK,EAAS,UAAY,EAAG,MAAM,IAAI,MAAM,4CAA4C,EACxF,IAAME,EAAiBF,EAAS,SAAS,CAAC,EAC1CD,EAASG,aAA0BL,EAASK,EAAiB,MAAMC,GAAoBD,CAAc,CACvG,CACA,IAAME,EAAMC,GAAoBN,CAAM,EAItC,OAHcH,EACX,IAAKU,GAASA,aAAeC,GAAgBD,EAAI,QAAQP,EAAO,MAAOA,EAAO,MAAM,EAAE,IAAI,MAAM,EAAIO,CAAI,EACxG,IAAKE,GAAQA,EAAI,mBAAmBT,EAAO,MAAOA,EAAO,MAAM,CAAC,EACtD,IAAI,CAAC,CAAE,EAAAU,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAAM,CAC5C,IAAMC,EAAUC,GAAa,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAC,EAC9C,OAAID,EAAQ,GAAKC,EAAS,GAAGP,GAAoBQ,CAAO,EAAE,aAAaT,EAAI,aAAaK,EAAGC,EAAGC,EAAOC,CAAM,EAAG,EAAG,CAAC,EAC3GC,CACT,CAAC,CACH,CClBA,eAAsBE,GAAmBC,EAAwCC,EAAiE,CAChJ,GAAI,CAACC,GAAWF,CAAW,GAAK,CAACG,GAAWH,CAAW,EACrD,MAAM,IAAI,MAAM,2DAA2D,EAG7E,GAAIG,GAAWH,CAAW,GAAKA,EAAY,MAAM,CAAC,EAAI,EACpD,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUI,EAAK,IAAM,CACnB,GAAM,CAACC,EAAWC,EAAUC,CAAW,EAAIP,EAAY,MAAM,MAAMG,GAAWH,CAAW,EAAI,EAAI,CAAC,EAMlG,OALcC,EAAW,IAAKO,GAASA,aAAeC,GAAgBD,EAAI,QAAQF,EAAUD,CAAS,EAAE,IAAMG,CAAI,EAC9G,IAAKE,GAAQA,EAAI,mBAAmBJ,EAAUD,CAAS,CAAC,EAExD,OAAQK,GAAQA,EAAI,MAAQ,GAAKA,EAAI,OAAS,CAAC,EAC/C,IAAI,CAAC,CAAE,EAAAC,EAAG,EAAAC,EAAG,MAAAC,EAAO,OAAAC,CAAO,IAASC,GAAQf,EAAY,KAAKK,EAAWC,EAAUC,CAAW,EAAG,CAACK,EAAGD,EAAG,CAAC,EAAG,CAACG,EAAQD,EAAON,CAAW,CAAC,CAAC,CAE7I,CAAC,CACH,CChCA,eAAsBS,GACpBC,EAEAC,EACmB,CACnB,GAAM,CAAE,MAAAC,CAAM,EAAIC,GAAI,OAAO,EACvBC,EAAM,MAAMF,EAAMF,EAAKC,CAAI,EACjC,GAAI,EAAEG,EAAI,OAAS,KACjB,MAAM,IAAI,MAAM,qBAAqBA,EAAI,WAAWA,EAAI,yBAAyBA,EAAI,KAAK,EAE5F,OAAOA,CACT,CCVA,eAAsBC,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCTA,eAAsBE,GAAaC,EAAyB,CAC1D,OAAQ,MAAMC,GAAaD,CAAG,GAAG,KAAK,CACxC,CCFA,eAAsBE,IAAgBC,EAAoC,CACxE,OAAO,IAAI,aAAa,MAAO,MAAMC,GAAaD,CAAG,GAAG,YAAY,CAAC,CACvE,CCFO,SAASE,GAAcC,EAAsC,CAClE,OAAO,IAAI,QAAQ,CAACC,EAASC,IAAW,CAChCF,aAAe,MAAOE,EAAO,IAAI,MAAM,kDAAkD,CAAC,EAEhG,IAAMC,EAAQC,GAAI,OAAO,EAAE,mBAAmB,EAC9CD,EAAM,UAAY,IAAMF,EAAQE,CAAK,EACrCA,EAAM,QAAUD,EAChBC,EAAM,YAAc,GACpBA,EAAM,MAAQ,GACdA,EAAM,IAAM,IAAI,gBAAgBH,CAAG,EACnCG,EAAM,KAAK,CACb,CAAC,CACH,CCXA,eAAsBE,IAAWC,EAAwC,CACvE,IAAMC,EAAM,MAAMC,GAAaF,CAAG,EAC5BG,EAAO,MAAOF,EAAK,KAAK,EAE9B,GAAI,CAACE,EAAK,KAAK,WAAW,QAAQ,EAChC,MAAM,IAAI,MAAM,wEAAwEA,EAAK,kBAAkBF,EAAI,KAAK,EAE1H,OAAOG,GAAcD,CAAI,CAC3B,CCXO,SAASE,GAAaC,EAAyBC,EAA0B,CAC9E,IAAMC,EAA0B,GAAGD,0BAEnC,GAAI,CAACD,EACH,MAAO,CACL,aAAc,GACd,YAAaE,CACf,EAGF,GAAIF,IAAQ,IACV,MAAO,CACL,aAAc,IACd,YAAa,IAAIE,GACnB,EAGF,IAAMC,EAAWH,EAAI,WAAW,SAAS,EAAI,UAAYA,EAAI,WAAW,UAAU,EAAI,WAAa,GACnGA,EAAMA,EAAI,QAAQG,EAAU,EAAE,EAE9B,IAAMC,EAAQJ,EAAI,MAAM,GAAG,EAAE,OAAQK,GAAMA,CAAC,EAEtCC,EAAeN,EAAI,SAAS,OAAO,EACrCI,EAAMA,EAAM,OAAS,CAAC,EACtBF,EAEAK,EAAeJ,GAAYH,EAAI,SAAS,OAAO,EAAII,EAAM,MAAM,EAAGA,EAAM,OAAS,CAAC,EAAIA,GAAO,KAAK,GAAG,EACzG,OAAAG,EAAeP,EAAI,WAAW,GAAG,EAAI,IAAIO,IAAiBA,EAEnD,CACL,aAAAA,EACA,YAAaA,IAAiB,IAAM,IAAID,IAAiB,GAAGC,KAAgBD,GAC9E,CACF,CC5BA,eAAsBE,GACpBC,EACAC,EAC4B,CAC5B,GAAM,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaJ,EAAKC,CAAgB,EAElEI,EAAW,MAAMC,GAAuCJ,CAAW,EAEzE,OAAUK,GAAM,YAAYF,EAAUF,CAAY,CACpD,CCXO,SAASK,IAAgBC,EAAoBC,EAAwBC,EAAqB,GAAO,CACtG,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAIF,EACtBG,GAAmBJ,CAAS,EAC5BA,EACJ,OAAAD,EAAM,MAAQG,EACdH,EAAM,OAASI,EACR,CAAE,MAAAD,EAAO,OAAAC,CAAO,CACzB,CCHO,IAAeE,GAAf,KAAyC,CAC9C,YAAYC,EAAc,CAI1B,KAAU,QAAkC,OAE5C,KAAU,eAAiC,CAAC,EAL1C,KAAK,MAAQA,CACf,CAQA,IAAW,QAAiC,CAAE,OAAO,KAAK,OAAS,CAEnE,IAAW,eAAgC,CAAE,OAAO,KAAK,cAAgB,CAEzE,IAAW,UAAoB,CAAE,MAAO,CAAC,CAAC,KAAK,MAAQ,CAEhD,iBAAiBC,EAA8B,CACpD,GAAM,CAAE,IAAAC,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5D,OAAOC,EAAIC,CAAO,CACpB,CAEO,sBAAsBF,EAAmBG,EAAmB,CACjE,GAAM,CAAE,IAAAF,EAAK,QAAAC,CAAQ,EAAI,KAAK,qBAAqBF,CAAS,EAC5DC,EAAIC,CAAO,EAAE,QAAQ,EACrBD,EAAIC,CAAO,EAAIC,CACjB,CAEO,cAAe,CACpB,OAAO,KAAK,eAAe,IAAI,CAAC,CAAE,UAAAH,CAAU,KAAO,CACjD,KAAMA,EACN,OAAQ,KAAK,iBAAiBA,CAAS,CACzC,EAAE,CACJ,CAEO,oBAAqB,CAC1B,OAAO,KAAK,aAAa,EAAE,OAAQI,GAAUA,EAAM,kBAAqBC,EAAQ,CAClF,CAEO,iBAAkB,CACvB,OAAO,KAAK,aAAa,EAAE,OAAQD,GAAU,EAAEA,EAAM,kBAAqBC,GAAS,CACrF,CAEO,UAAW,CAChB,KAAK,gBAAgB,EAAE,QAAQ,CAAC,CAAE,KAAAC,EAAM,OAAAH,CAAO,IAAM,CACnD,KAAK,sBAAsBG,EAAMH,EAAO,SAAS,CAAC,CACpD,CAAC,CACH,CAEO,QAAS,CACd,KAAK,mBAAmB,EAAE,QAAQ,CAAC,CAAE,KAAAG,EAAM,OAAQC,CAAS,IAAM,CAChE,IAAMJ,EAAYK,GAAOD,EAAS,SAAS,CAAC,EAC5CA,EAAS,QAAQ,EACjB,KAAK,sBAAsBD,EAAMH,CAAM,CACzC,CAAC,CACH,CAEO,QAAQM,EAAmB,GAAM,CACtC,KAAK,aAAa,EAAE,QAASL,GAAU,CACrC,GAAIK,GAAoBL,EAAM,OAAO,WACnC,MAAM,IAAI,MAAM,mDAAmDA,EAAM,MAAM,EAEjFA,EAAM,OAAO,QAAQ,CACvB,CAAC,EACD,KAAK,QAAU,MACjB,CAEO,iBAAgC,CACrC,OAAO,IAAI,aACT,KAAK,aAAa,EACf,IAAI,CAAC,CAAE,OAAAD,CAAO,IAAM,MAAM,KAAKA,EAAO,SAAS,CAAC,CAAa,EAC7D,OAAO,CAACO,EAAMC,IAAQD,EAAK,OAAOC,CAAG,CAAC,CAC3C,CACF,CAEA,MAAa,KAAKC,EAAgE,CAChF,GAAIA,aAAwB,aAAc,CACxC,KAAK,eAAeA,CAAY,EAChC,MACF,CACA,MAAM,KAAK,YAAYA,CAAY,CACrC,CAEA,MAAa,YAAYC,EAAyB,CAChD,GAAIA,GAAO,OAAOA,GAAQ,SACxB,MAAM,IAAI,MAAM,GAAG,KAAK,wCAAwC,EAElE,IAAMC,EAAY,MAAMC,GAAcF,EAAK,KAAK,oBAAoB,CAAC,EACrE,KAAK,kBAAkBC,CAAS,CAClC,CAEA,MAAa,aAAaE,EAA8B,CACtD,GAAIA,GAAY,OAAOA,GAAa,SAClC,MAAM,IAAI,MAAM,GAAG,KAAK,+CAA+C,EAEzE,GAAM,CAAE,SAAAC,CAAS,EAAIC,GAAI,OAAO,EAC1B,CAAE,YAAAC,EAAa,aAAAC,CAAa,EAAIC,GAAaL,EAAU,KAAK,oBAAoB,CAAC,EACjFM,EAAwBC,GAAwB,QAAQ,IAAIA,EAAU,IAAKC,GAAOP,EAASO,CAAE,EAAE,KAAMC,GAAQA,EAAI,MAAM,CAAC,CAAC,EACzHC,EAAiBC,GAAM,qBAAqBL,CAAoB,EAChEM,EAAW,KAAK,OAAO,MAAMX,EAASE,CAAW,GAAG,SAAS,CAAC,EAC9DL,EAAY,MAAMY,EAAYE,EAAUR,CAAY,EAC1D,KAAK,kBAAkBN,CAAS,CAClC,CAEO,kBAAkBA,EAA8B,CACrD,GAAM,CAAE,cAAAe,EAAe,OAAAC,CAAO,EAAI,KAAK,2BAA2BhB,CAAS,EAC3E,KAAK,eAAiBe,EACtB,KAAK,QAAUC,CACjB,CAEO,eAAeC,EAAuB,CAC3C,GAAM,CAAE,cAAAF,EAAe,OAAAC,CAAO,EAAI,KAAK,cAAcC,CAAO,EAC5D,KAAK,eAAiBF,EACtB,KAAK,QAAUC,CACjB,CAEQ,qBAAqB9B,EAAmB,CAC9C,GAAI,CAAC,KAAK,OACR,MAAM,IAAI,MAAM,mDAAmD,EAGrE,IAAMgC,EAAShC,EAAU,MAAM,GAAG,EAAE,OAAO,CAACiC,EAAoD/B,IAAY,CAE1G,GAAI,CAAC+B,EAAI,QAAQ,eAAe/B,CAAO,EACrC,MAAM,IAAI,MAAM,wDAAwDA,eAAqBF,GAAW,EAE1G,MAAO,CAAE,IAAKiC,EAAI,QAAS,QAAA/B,EAAS,QAAS+B,EAAI,QAAQ/B,CAAO,CAAE,CACpE,EAAG,CAAE,QAAS,KAAK,MAAO,CAAC,EAErB,CAAE,IAAAD,EAAK,QAAAC,CAAQ,EAAI8B,EACzB,GAAI,CAAC/B,GAAO,CAACC,GAAW,EAAED,EAAIC,CAAO,YAAgBgC,IACnD,MAAM,IAAI,MAAM,8DAA8DlC,GAAW,EAG3F,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CASF,ECnJO,SAASiC,GACdC,EACAC,EACAC,EACa,CACb,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,iBAAkBA,EAAO,iBAAkBC,EAAQ,MAAM,EAChG,OAAAE,EAASE,EAAIF,EAAKH,EAAO,IAAI,EACtBG,CACT,CAAC,CACH,CCRO,SAASG,GACdC,EACAC,EACAC,EAAe,GACF,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAAS,CAAC,EAAG,CAAC,EAAG,MAAM,EAC3EA,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8B,CAAC,EAAG,CAAC,CAAC,CACrF,EACMQ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,CACjD,CAAC,CACH,CAEO,SAASC,GACdZ,EACAC,EACAC,EAAe,GACfW,EAAc,GACD,CACb,OAAUV,EAAK,IAAM,CACnB,IAAMC,EAAUC,GACdH,EACOI,EACAC,GAAOP,EAAIC,EAAiB,MAAqB,QAASY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,EAAG,MAAM,EAClGZ,EAAiB,MAAM,IACzB,EACEO,GAAuBR,EAAGC,EAAiB,MAA8BY,EAAc,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CAAC,CAC5G,EACMJ,EAAOD,GAAuBJ,EAAMH,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAElES,EAASL,GAAQC,EAAIF,EAAMK,CAAI,CAAC,EAChCE,EAAOH,GAAuBE,EAAKT,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEjEa,EAAST,GAAQC,EAAIF,EAASE,EAAIG,EAAME,CAAI,CAAC,CAAC,EAC9CI,EAAOP,GAAuBM,EAAKb,EAAiB,MAAO,CAAC,EAAG,CAAC,CAAC,EAEvE,OAAUI,GAAQC,EAAIF,EAASE,EAAIG,EAASH,EAAIK,EAAMI,CAAI,CAAC,CAAC,CAAC,CAC/D,CAAC,CACH,CClDO,SAASC,GACdC,EACAC,EACAC,EAA4B,OAC5BC,EAAW,GACE,CACb,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EACVC,GAAOP,EAAGC,EAAO,QAAS,CAAC,EAAG,CAAC,EAAGC,CAAO,EAC5CD,EAAO,IACT,EAEA,OAAOE,EAAcK,GAAKH,CAAG,EAAIA,CACnC,CAAC,CACH,CChBO,SAASI,GAA2BC,EAAgBC,EAA+B,CACxF,OAAO,KAAKD,CAAS,EAAE,QAASE,GAAS,CAClCD,EAAc,KAAME,GAAOA,EAAG,eAAiBD,CAAI,GACtDF,EAAUE,CAAI,EAAE,QAAQ,CAE5B,CAAC,CACH,CCJO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,EACAC,IACe,CACf,IAAMC,EAAaC,GACjBP,EAAeE,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGI,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAE,CAAK,CACzB,CACF,CCvBO,SAASE,GACdC,EACAC,EACA,CACA,MAAO,CACLC,EACAC,EACAC,IACa,CACb,IAAMC,EAAgBC,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAACD,EAAYC,CAAW,CAAC,EAC5FI,EAAaC,GAASR,EAAeG,CAAW,CAAC,EAEvD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CACL,QAASC,EACT,KAAME,CACR,CACF,CACF,CCNO,IAAME,GAAN,KAA0B,CAE/B,YAESC,EAEAC,EAEAC,EAEP,CANO,sBAAAF,EAEA,sBAAAC,EAEA,UAAAC,CAEN,CACL,EC3BO,SAASC,GACdC,EACAC,EACA,CACA,MAAO,CAACC,EAAoBC,EAAqBC,IAA8C,CAC7F,IAAMC,EAAsBC,GAASN,EAAe,EAAQE,CAAU,EAAG,CAAC,EAAG,EAAGA,EAAY,CAAC,CAAC,EACxFK,EAAsBD,GAASN,EAAeE,EAAaC,CAAW,EAAG,CAAC,EAAG,EAAGD,EAAYC,CAAW,CAAC,EACxGK,EAAUC,GAAST,EAAeG,CAAW,CAAC,EAEpD,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,oBAAgC,EAChD,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,IAAIM,GACTL,EACAE,EACAC,CACF,CACF,CACF,CAEO,SAASG,GAEdC,EACA,CACA,OAAQC,GAAwC,CAC9C,IAAMR,EAAmBO,EAAgC,GAAGC,qBAA2B,CAAC,EAClFN,EAAmBK,EAAgC,GAAGC,qBAA2B,CAAC,EAClFL,EAAOI,EAAgC,GAAGC,SAAe,CAAC,EAEhE,OAAO,IAAIH,GACTL,EACAE,EACAC,CACF,CACF,CACF,CCvCO,SAASM,GAA0BC,EAAgBC,EAA+B,CACvF,MAAO,CAACC,EAAsBC,EAAmBC,IAAwB,CACvE,IAAMC,EAASL,EAAUE,CAAY,EAErC,GAAI,CAACI,GAASD,EAAQF,CAAS,EAC7B,MAAM,IAAI,MAAM,sBAAsBD,oBAA+BC,oBAA4BE,GAAQ,EAG3G,OAAAJ,EAAc,KACZ,CAAE,aAAAC,EAAc,UAAWE,GAAcF,CAAa,CACxD,EAEOG,CACT,CACF,CCjBO,SAASE,GAAsBC,EAAuB,CAC3D,IAAIC,EAAmBD,EAEvB,SAASE,EAAeC,EAAkC,CACxD,IAAMC,EAAMH,EAAiB,MAAM,EAAGE,CAAU,EAChD,OAAAF,EAAmBA,EAAiB,MAAME,CAAU,EAC7CC,CACT,CAEA,SAASC,GAAoC,CAC3C,OAAOJ,CACT,CAEA,MAAO,CACL,eAAAC,EACA,oBAAAG,CACF,CACF,CCdO,SAASC,GAAkBC,EAAwCC,EAA+B,CACvG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAAyBC,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,IAAMC,EAAQD,EACVR,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,SAAoB,EACrEL,EAA2BG,EAAYC,EAAa,GAAGC,SAAoB,EACzEG,EAAQR,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EACpFI,EAAQT,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBP,EAAoBC,EAAqBC,EAAsBC,EAAe,GAA0B,CACxI,GAAM,CAAE,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAAM,EAAIP,EAAyBC,EAAYC,EAAaC,EAAcC,CAAY,EACtGK,EAAQX,EAA2BI,EAAaA,EAAa,GAAGC,SAAoB,EAE1F,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAT,EACA,yBAAAQ,CACF,CACF,CC1BO,SAASE,GAAcC,EAA8F,CAC1H,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EACnDK,EAASL,EAAyB,IAAK,IAAK,QAAQ,EAE1D,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CACN,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,EAAQ,OAAAC,CAC1B,CACF,CACF,CC1BO,SAASC,GAAsBC,EAAuE,CAC3G,OAAQC,GAA+B,CACrC,IAAMC,EAAUF,EAAgC,GAAGC,YAAkB,CAAC,EAChEE,EAAOH,EAAgC,GAAGC,SAAe,CAAC,EAEhE,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CACF,CCRO,SAASC,GAAkBC,EAAgBC,EAA+B,CAC/E,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAAyBC,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CAAE,MAAAE,EAAO,MAAAC,EAAO,MAAAC,CAAM,CAC/B,CAEA,SAASC,EAAyBL,EAAgBC,EAAe,GAA0B,CACzF,IAAMC,EAAQD,EACVN,EAAkB,GAAGK,SAAc,EACnCH,EAA2B,GAAGG,SAAc,EAC1CG,EAAQN,EAA2B,GAAGG,SAAc,EACpDI,EAAQP,EAA2B,GAAGG,SAAc,EACpDM,EAAQT,EAA2B,GAAGG,SAAc,EAE1D,MAAO,CACL,MAAAE,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAE,CACvB,CACF,CAEA,MAAO,CACL,yBAAAP,EACA,yBAAAM,CACF,CACF,CC/BO,SAASE,GACdC,EACuE,CACvE,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCfO,IAAMK,GAAN,cAAmCC,EAAuG,CAC/I,aAAc,CACZ,MAAM,sBAAsB,CAC9B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,oDAAoD,EAGtE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAEtCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,8BACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EChDO,SAASE,GACdC,EACAC,EACa,CACb,OAAUC,EAAK,IAASC,EACnBC,GAAOJ,EAAGC,EAAO,OAAO,EAC3BA,EAAO,IACT,CAAC,CACH,CCTO,SAASI,GAAcC,EAAuBC,EAAoBC,EAA2E,CAClJ,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBN,CAAO,EAI3BO,EAFkBC,GAAuBJ,EAAgBD,CAAa,EAEjDF,EAAYC,EAAa,IAAI,EAExD,GAAIG,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAAI,CAAG,CACf,CACF,CClBO,SAASE,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAIJ,EAAgB,IAAI,CAC1B,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,SAASS,GAAmBC,EAA8B,CAC/D,IAAMC,EAAyC,CAAC,EAC1CC,EAAmC,CAAC,EAE1C,cAAO,KAAKF,CAAS,EAAE,QAASG,GAAQ,CACtC,IAAMC,EAAMD,EAAI,WAAW,IAAI,EAAID,EAAgBD,EACnDG,EAAID,CAAG,EAAIH,EAAUG,CAAG,CAC1B,CAAC,EAEM,CAAE,oBAAAF,EAAqB,cAAAC,CAAc,CAC9C,CCDO,IAAeG,GAAf,cAGGC,EAAyB,CAGjC,YAAYC,EAAeC,EAA+D,CACxF,MAAMD,CAAK,EACX,KAAK,sBAAwBC,CAC/B,CAEA,IAAW,sBAAgE,CACzE,OAAO,KAAK,qBACd,CAQO,OAAOC,EAA4C,CACxD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EACJ,OAAOK,GAAoBF,EAAmB,KAAKA,EAAmB,MAAM,CAAC,EAAG,EAAE,EAAGF,EAAO,EAAE,CAChG,CAAC,CACH,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAN,EAAQ,cAAAO,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUN,EACf,KAAK,eAAiBO,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,EAAS,KAAK,wBAAwB,EAAG,KAAK,yBAAyB,CAAC,CAC/F,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAC7C,IAAMQ,EAAM,KAAK,wBAAwB,EACnCC,EAAO,KAAK,yBAAyB,EACrCC,EAAwBD,EAAOD,EAAOC,EAEtCE,EAA0BX,EAAQ,MAAM,EAAGA,EAAQ,OAASU,CAAoB,EAChFE,EAAoBZ,EAAQ,MAAMA,EAAQ,OAASU,CAAoB,EAE7E,YAAK,qBAAqB,eAAeC,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,ECjFO,IAAMC,GAAyB,CAAC,UAAW,QAAS,MAAO,QAAS,UAAW,YAAa,WAAW,EAEjGC,GAAN,KAAsB,CAS3B,YAAYC,EAAwC,CARpD,KAAO,QAAU,EACjB,KAAO,MAAQ,EACf,KAAO,IAAM,EACb,KAAO,MAAQ,EACf,KAAO,QAAU,EACjB,KAAO,UAAY,EACnB,KAAO,UAAY,EAGjB,GAAIA,EAAc,SAAW,EAC3B,MAAM,IAAI,MAAM,8EAA8EA,EAAc,QAAQ,EAGtHF,GAAuB,QAAQ,CAACG,EAAYC,IAAQ,CAClD,KAAKD,CAAU,EAAID,EAAcE,CAAG,CACtC,CAAC,CACH,CAEA,eAAgB,CACd,OAAOJ,GACJ,IAAKG,IAAgB,CAAE,WAAAA,EAAY,YAAa,KAAKA,CAAU,CAAY,EAAE,EAC7E,KAAK,CAACE,EAAIC,IAAOA,EAAG,YAAcD,EAAG,WAAW,CACrD,CACF,EClBO,IAAME,GAAN,cAAgCC,EAA0C,CAC/E,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEO,aAAaE,EAA4C,CAC9D,OAAUC,EAAK,IAASC,GAAQ,KAAK,OAAOF,CAAK,CAAC,CAAC,CACrD,CAEA,MAAa,QAAQA,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMG,GAAWH,CAAK,CAAC,CAClD,CAEA,MAAa,mBAAmBA,EAAkB,CAChD,IAAMI,EAAW,MAAMD,GAAWH,CAAK,EACjCK,EAAM,MAAM,KAAK,aAAaD,CAAQ,EACtCE,EAAsB,MAAM,QAAQ,IAAOC,GAAQF,CAAG,EAAE,IAAI,MAAOG,GAAM,CAC7E,IAAMC,EAAOD,EAAE,SAAS,EACxB,OAAAA,EAAE,QAAQ,EACHC,CACT,CAAC,CAAC,EACFJ,EAAI,QAAQ,EAEZ,IAAMK,EAAqBJ,EACxB,IAAKK,GAAiB,IAAIC,GAAgBD,CAA4B,CAAC,EAE1E,OAAOP,EAAS,aACZM,EACAA,EAAmB,CAAC,CAC1B,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CAEU,0BAAmC,CAC3C,MAAO,EACT,CACF,EC9CO,SAASG,GAAsBC,EAA0C,CAC9E,OAAOA,EAAI,uBAAuBC,EACpC,CAEO,SAASC,GAAmCC,EAAoBC,EAA4D,CAEjI,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,YAAAC,CAAY,CACI,CACtC,CCFO,SAASC,IAAoBC,EAAuCC,EAA6EC,EAAgB,GAAKC,EAA0B,EACxK,MAAM,QAAQF,CAAe,EAAIA,EAAkB,CAACA,CAAe,GAE3E,QAASG,GAAM,CAElC,IAAMC,EAAOD,aAAaE,GACtBF,EACCG,GAAsBH,CAAC,EAAIA,EAAE,YAAc,OAChD,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,iHAAiH,EAInI,IAAMG,EADSH,EAAK,cAAc,EACF,OAAQI,GAAcA,EAAU,YAAcP,CAAa,EAErFQ,EAASC,GAAoBP,CAAC,EAChCA,EAAE,UAAU,IAAI,WACfD,GAAmB,IAAIS,GAAM,EAAG,CAAC,EAEhB,IAAIC,GACxBL,EAAiB,IAAKC,GAAc,GAAGA,EAAU,eAAeK,GAAML,EAAU,WAAW,IAAI,EAC/FC,CACF,EACc,KAAKV,CAAS,CAC9B,CAAC,CACH,CCfO,SAASe,GACdC,EACgE,CAChE,OACEC,GAAoBD,CAAG,GAEpBA,EAAI,qBAAwBE,IAE5BF,EAAI,8BAAiCE,IAErCF,EAAI,uBAA0BG,EAErC,CAEA,SAASC,IAAmBC,EAAM,CAGhC,IAAMC,EAAWC,GAAaA,EAAU,IAAO,KAAK,GAC9CC,EAA6B,CAACC,EAAGC,IAAM,KAAK,MAAMD,EAAE,GAAKC,EAAE,KAAO,GAAKD,EAAE,GAAKC,EAAE,KAAO,CAAC,EAExFC,EAAQ,CACZ,KAA0B,OAC1B,MAA2B,OAC3B,IAAyB,MAC3B,EAEMC,EAAU,CAACC,EAAWC,EAAUC,IAAe,CAEnD,IAAMC,EAAiB,KAAK,MAAMH,EAAU,GAAKC,EAAS,EAAE,EAEtDG,EAAkB,KAAK,MAAMH,EAAS,GAAKC,EAAW,EAAE,EAE9D,OAAOC,EAAiBC,CAC1B,EAEMC,EAAW,CAACC,EAAOC,IAAU,CAIjC,IAAMC,EAAa,KAAK,MAAMD,EAAM,GAAKD,EAAM,GAAIC,EAAM,GAAKD,EAAM,EAAE,EAChEG,EAAWF,EAAM,GAAKD,EAAM,GAC5BI,EAAiB,KAAK,KAAKD,EAAWD,CAAU,EAChDG,EAAiBlB,EAAQiB,CAAc,EACvCE,EAAiB,KAAK,MAAM,GAAKD,CAAc,EAG/CE,EAAgBN,EAAM,GAAKD,EAAM,GAAK,EAAI,GAAK,EAErD,OADeM,EAAiBC,CAElC,EAEMC,EAAY,CAACd,EAAWC,EAAUC,IAAe,CAKrD,IAAMa,EAAOpB,EAA2BK,EAAWE,CAAU,EAEvDc,EAAa,CACjB,IAAKhB,EAAU,GAAKE,EAAW,IAAM,EACrC,IAAKF,EAAU,GAAKE,EAAW,IAAM,CACvC,EACMe,EAAkBtB,EAA2BM,EAAUe,CAAU,EACjEN,EAAiB,KAAK,KAAKO,EAAkBF,CAAI,EACjDJ,EAAiB,KAAK,MAAMlB,EAAQiB,CAAc,CAAC,EAGnDQ,EAAYF,EAAW,GAAKf,EAAS,GAAK,EAAI,GAAK,EAEzD,OADeU,EAAiBO,CAElC,EAEA,GAAI,CAAC1B,GAAQ,CAACA,EAAK,YAAcA,EAAK,WAAW,SAAW,GAAI,OAAOM,EACvE,IAAMqB,EAAK3B,EAAK,WAChB,OAAAM,EAAM,KAAOO,EAASc,EAAG,EAAE,EAAGA,EAAG,EAAE,CAAC,EACpCrB,EAAM,MAAQgB,EAAUK,EAAG,EAAE,EAAGA,EAAG,EAAE,EAAGA,EAAG,CAAC,CAAC,EAC7CrB,EAAM,IAAMC,EAAQoB,EAAG,EAAE,EAAGA,EAAG,EAAE,EAAGA,EAAG,CAAC,CAAC,EAClCrB,CACT,CAEO,SAASsB,GACdC,EACAC,EAC4C,CAC5C,GAAM,CAAE,IAAKC,CAAM,EAAIF,EAAU,UAC3BG,EAAYF,EAAmB,QAAwBC,EAAM,EAAGA,EAAM,CAAC,EACvEE,EAAOD,EAAU,MAAM,EACvB,CAAE,UAAAE,CAAU,EAAIL,EAAU,UAC1BM,EAAc,IAAIrC,GACtB+B,EAAU,UAAU,MACpBI,EAAK,QAAQC,EAAU,QAAQ,CAAC,EAChCA,CACF,EACM5B,EAAQP,IAAmB+B,CAAkB,EAEnD,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,UAAAG,EAAW,mBAAAF,EAAoB,YAAAK,EAAa,MAAA7B,CAAM,CAClC,CACtC,CCjGO,IAAM8B,GAAN,KAA+B,CAapC,YAAYC,EAAqC,CAAC,EAAG,CACnD,GAAM,CACJ,UAAAC,EAAY,GAAM,WAAAC,EAAa,GAAM,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CACxE,EAAIN,EACJ,KAAK,UAAYC,EACjB,KAAK,WAAaC,EAClB,KAAK,UAAYC,GAAa,EAC9B,KAAK,UAAYE,GAAa,EAC9B,KAAK,UAAYD,GAAa,uBAC9B,KAAK,WAAaE,GAAc,sBAClC,CACF,EAEaC,GAAN,KAAwB,CAK7B,YACEC,EACAR,EAAqC,CAAC,EACtC,CACA,KAAK,cAAgBQ,EACrB,KAAK,QAAU,IAAIT,GAAyBC,CAAO,CACrD,CAEA,KAAKS,EAAkE,CACrE,IAAMC,EAAMC,GAAoBF,CAAS,EAEnC,CACJ,UAAAR,EAAW,WAAAC,EAAY,UAAAC,EAAW,UAAAC,EAAW,UAAAC,EAAW,WAAAC,CAC1D,EAAI,KAAK,QAcT,GAZIL,GAAa,KAAK,yBAAyBW,KAC7CF,EAAI,YAAcN,EAClBM,EAAI,UAAYP,EAChBU,GAAYH,EAAK,KAAK,cAAc,cAAc,CAAC,EACnDG,GAAYH,EAAK,KAAK,cAAc,eAAe,CAAC,EACpDG,GAAYH,EAAK,KAAK,cAAc,gBAAgB,CAAC,EACrDG,GAAYH,EAAK,KAAK,cAAc,QAAQ,CAAC,EAC7CG,GAAYH,EAAK,KAAK,cAAc,WAAW,EAAG,EAAI,EACtDG,GAAYH,EAAK,KAAK,cAAc,YAAY,EAAG,EAAI,EACvDG,GAAYH,EAAK,KAAK,cAAc,SAAS,EAAG,EAAI,GAGlDR,EAAY,CACdQ,EAAI,YAAcJ,EAClBI,EAAI,UAAYJ,EAEhB,IAAMQ,EAAaC,GAAe,CAChCL,EAAI,UAAU,EACdA,EAAI,IAAIK,EAAG,EAAGA,EAAG,EAAGV,EAAW,EAAG,EAAI,KAAK,EAAE,EAC7CK,EAAI,KAAK,CACX,EACA,KAAK,cAAc,UAAU,QAAQI,CAAS,CAChD,CACF,CACF,EAIO,SAASE,IACdP,EACAD,EACA,EAC2B,MAAM,QAAQA,CAAa,EAAIA,EAAgB,CAACA,CAAa,GACrE,QAASS,GAAM,CAEhC,IAAMC,EAAYD,aAAaE,GAC3BF,EACCG,GAAoBH,CAAC,EAAIA,EAAE,UAAY,OAC5C,GAAI,CAACC,EACH,MAAM,IAAI,MAAM,8HAA8H,EAGhJ,IAAIX,GAAkBW,CAAS,EAAE,KAAKT,CAAS,CACjD,CAAC,CACH,CC1GE,IAAAY,GAAW,QCGb,SAASC,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAC1EG,EAA6BC,GAAkCL,EAAgBC,CAAa,EAElG,SAASK,EAA4BC,EAAoBC,EAAqBC,EAA4C,CACxH,IAAMC,EAAkBN,EAA2BG,EAAYC,EAAa,GAAGC,mBAA8B,EACvGE,EAAkBP,EAA2BI,EAAaA,EAAa,GAAGC,mBAA8B,EACxGG,EAAiBV,EAAkBK,EAAYC,EAAa,EAAG,GAAGC,kBAA6B,EAErG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBC,EAAkBL,EAAuC,CACvF,IAAMC,EAAkBN,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGE,EAAkBP,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAClGM,EAAkBX,EAA2BU,EAAUA,EAAU,GAAGL,mBAA8B,EAExG,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAI,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAb,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,CACF,CAEO,SAASG,GAAcC,EAAuBC,EAAsF,CACzI,IAAMjB,EAAgC,CAAC,EAEjC,CACJ,eAAAD,EACA,oBAAAmB,CACF,EAAIC,GAAsBH,CAAO,EAE3B,CACJ,kBAAAf,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAO,CACF,EAAId,IAAkBC,EAAgBC,CAAa,EAE7CoB,EAAqBnB,EAAkB,EAAG,GAAI,EAAG,oBAAoB,EACrEoB,EAA+BhB,EAA4B,GAAI,GAAI,8BAA8B,EACjGiB,EAA+BjB,EAA4B,GAAI,IAAK,8BAA8B,EAElGkB,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMR,EAAe,EAAG,CAAC,EAAE,QAASS,GAAQ,CAC1CF,EAAY,cAAcE,GAAK,EAAId,EAAuB,IAAK,0BAA0Bc,GAAK,CAChG,CAAC,EAED,IAAMC,EAA4BtB,EAA4B,IAAK,IAAK,2BAA2B,EAC7FuB,EAA2BzB,EAA2B,IAAK,IAAK,0BAA0B,EAE1F0B,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,GAAIV,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAlB,EACA,OAAQ,CAAE,WAAAuB,EAAY,YAAAC,EAAa,UAAAK,CAAU,CAC/C,CACF,CCxEA,SAASC,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAEvEG,EAAoBC,GAAsBH,CAAkB,EAC5DI,EAA6BC,GAA+BL,CAAkB,EAEpF,SAASM,EAA4BC,EAA4C,CAC/E,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EG,EAAiBR,EAAkB,GAAGK,kBAA6B,EAEzE,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,eAAAC,CAAe,CAC5D,CAEA,SAASC,EAAuBJ,EAAuC,CACrE,IAAMC,EAAkBJ,EAA2B,GAAGG,mBAA8B,EAC9EE,EAAkBL,EAA2B,GAAGG,mBAA8B,EAC9EK,EAAkBR,EAA2B,GAAGG,mBAA8B,EAEpF,MAAO,CAAE,gBAAAC,EAAiB,gBAAAC,EAAiB,gBAAAG,CAAgB,CAC7D,CAEA,MAAO,CACL,kBAAAV,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,CACF,CAEO,SAASE,GACdf,EACAgB,EAC+D,CAC/D,IAAMf,EAAgC,CAAC,EAEjC,CACJ,kBAAAG,EACA,2BAAAE,EACA,4BAAAE,EACA,uBAAAK,CACF,EAAId,IAAkBC,EAAWC,CAAa,EAExCgB,EAAqBb,EAAkB,oBAAoB,EAC3Dc,EAA+BV,EAA4B,8BAA8B,EACzFW,EAA+BX,EAA4B,8BAA8B,EAEzFY,EAAa,CACjB,QAASH,EACT,kBAAmBC,EACnB,kBAAmBC,CACrB,EAEME,EAAc,CAAC,EACrBC,GAAMN,EAAe,EAAG,CAAC,EAAE,QAASO,GAAQ,CAC1CF,EAAY,cAAcE,GAAK,EAAIV,EAAuB,0BAA0BU,GAAK,CAC3F,CAAC,EAED,IAAMC,EAA4BhB,EAA4B,2BAA2B,EACnFiB,EAA2BnB,EAA2B,0BAA0B,EAEhFoB,EAAY,CAChB,gBAAiBF,EACjB,eAAgBC,CAClB,EAEA,OAAAE,GAA2B3B,EAAWC,CAAa,EAE5C,CAAE,OAAQ,CAAE,WAAAmB,EAAY,YAAAC,EAAa,UAAAK,CAAU,EAAG,cAAAzB,CAAc,CACzE,CCjEA,SAAS2B,GAAKC,EAAgBC,EAAoBC,EAAuC,CACvF,OAAUC,EAAOC,GAAOJ,EAAGC,EAAO,QAASC,EAAQ,MAAM,EAAGD,EAAO,IAAI,CACzE,CAEA,SAASI,GAAeL,EAAgBC,EAA8BK,EAAkB,GAAmB,CACzG,IAAIC,EAAMD,EAAqBE,GAAKR,CAAC,EAAIA,EACzC,OAAAO,EAAME,GAAuBF,EAAKN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAChEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASG,GAAQH,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAASJ,EAAII,EAAKR,GAAKC,EAAGC,EAAO,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EACjDM,CACT,CAEA,SAASI,IAAUX,EAAgBC,EAAsC,CACvE,IAAIM,EAAME,GAA0BD,GAAKR,CAAC,EAAGC,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EAC3E,OAAAM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAAME,GAA0BD,GAAKD,CAAG,EAAGN,EAAO,gBAAiB,CAAC,EAAG,CAAC,CAAC,EACzEM,EAASJ,EAAII,EAAKP,CAAC,EACZO,CACT,CAEO,IAAMK,GAAN,cAA2BC,EAAkC,CAGlE,YAAYC,EAAuB,CACjC,MAAM,cAAc,EACpB,KAAK,eAAiBA,CACxB,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAd,CAAO,EAAI,KACnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,4CAA4C,EAE9D,OAAUe,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKH,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DI,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EACtDV,EAASC,GAAKT,GAAKoB,EAAYlB,EAAO,WAAW,QAAS,CAAC,EAAG,CAAC,CAAC,CAAC,EACrE,OAAAM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,kBAAmB,EAAK,EACpEM,EAAMF,GAAeE,EAAKN,EAAO,WAAW,iBAAiB,EAC7DoB,GAAM,KAAK,eAAgB,EAAG,CAAC,EAAE,QAASC,GAAQ,CAChDf,EAAMI,IAAUJ,EAAKN,EAAO,YAAY,cAAcqB,GAAK,CAAC,CAC9D,CAAC,EACDf,EAAMF,GAAeE,EAAKN,EAAO,UAAU,eAAe,EAC1DM,EAASC,GAAKC,GAAuBF,EAAKN,EAAO,UAAU,eAAgB,CAAC,EAAG,CAAC,CAAC,CAAC,EAC3EM,CACT,CAAC,CACH,CAEA,MAAa,QAAQQ,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMQ,GAAWR,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,qBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,cAAc,CAClE,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,EAAS,KAAK,cAAc,CACnD,CACF,ECzEO,SAASE,GAAcC,EAA6E,CACzG,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3BK,EAAkBC,GAAuBJ,EAAgBD,CAAa,EAEtEM,EAAMF,EAAgB,IAAK,EAAG,QAAQ,EACtCG,EAASH,EAAgB,IAAK,EAAG,WAAW,EAElD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,GAAI,CAAE,IAAAM,EAAK,OAAAC,CAAO,CAAE,CAChC,CACF,CCnBO,SAASC,GACdC,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjCC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAgBC,EAA0B,CACjD,IAAMC,EAAUJ,EAAmB,GAAGG,YAAkB,CAAC,EACnDE,EAAOL,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,IAAMC,EAAS,CACb,GAAI,CACF,IAAKJ,EAAgB,QAAQ,EAC7B,OAAQA,EAAgB,WAAW,CACrC,CACF,EAEA,OAAAK,GAA2BT,EAAWC,CAAa,EAE5C,CAAE,OAAAO,EAAQ,cAAAP,CAAc,CACjC,CCvBO,IAAKS,QAEVA,EAAA,OAAS,SAETA,EAAA,KAAO,OAJGA,QAAA,ICKL,IAAMC,GAAN,cAA2BC,EAAyB,CAGzD,YAAYC,EAAqC,IAAIC,GAAa,CAAC,EAAG,CACpE,MAAM,cAAc,EACpB,KAAK,sBAAwBD,CAC/B,CAEA,IAAW,sBAAqC,CAC9C,OAAO,KAAK,qBACd,CAEO,OAAOE,EAA0C,CACtD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,GAAG,KAAK,qCAAqC,EAG/D,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAqBH,aAAiBI,GACxC,KAAK,qBAAqB,aAAaJ,CAAK,EAC5CA,EAEEK,EAAYC,GAAQH,EAAoB,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAAE,KAAKA,EAAmB,MAAM,CAAC,EAAG,EAAE,EACrGI,EAAMC,GAAoBH,EAAQJ,EAAO,GAAG,GAAG,EAAE,KAAK,EACtDQ,EAASD,GAAoBH,EAAQJ,EAAO,GAAG,MAAM,EAC3D,MAAO,CAAE,IAAAM,EAAK,OAAAE,CAAO,CACvB,CAAC,CACH,CAEO,aAAaT,EAA0C,CAC5D,OAAUE,EAAK,IAAM,CACnB,GAAM,CAAE,IAAAK,EAAK,OAAAE,CAAO,EAAI,KAAK,OAAOT,CAAK,EACzC,MAAO,CAAE,IAAAO,EAAK,OAAWG,GAAQD,CAAM,CAAE,CAC3C,CAAC,CACH,CAEA,MAAa,QAAQT,EAAsC,CACzD,OAAO,KAAK,aAAa,MAAMW,GAAWX,CAAK,CAAC,CAClD,CAEA,MAAa,oBAAoBA,EAA8E,CAC7G,IAAMY,EAAW,MAAMD,GAAWX,CAAK,EACjCa,EAAM,MAAM,KAAK,aAAaD,CAAQ,EAEtCE,EAAUC,GAAQF,EAAI,GAAG,EACzBG,EAAaD,GAAQF,EAAI,MAAM,EAC/BI,EAAsBH,EAAK,IAAI,CAACI,EAAWC,KAAO,CACtD,UAAAD,EACA,aAAcF,EAAQG,CAAC,CACzB,EAAE,EAEIC,EAAqB,MAAM,QAAQ,IACvCH,EAAoB,IAAI,MAAO,CAAE,UAAAC,EAAW,aAAAG,CAAa,IAAM,CAC7D,IAAMd,EAAOW,EAAU,SAAS,EAAG,CAAC,EAC9BI,EAAYD,EAAa,SAAS,EAAG,CAAC,EACtCE,EAASD,EAAW,GACpBb,EAASc,kBACTC,EAAoBD,EAASD,EAAY,EAAIA,EAEnD,OAAAJ,EAAU,QAAQ,EAClBG,EAAa,QAAQ,EACd,CAAE,IAAAd,EAAK,OAAAE,EAAQ,kBAAAe,CAAkB,CAC1C,CAAC,CACH,EACA,OAAAX,EAAI,IAAI,QAAQ,EAChBA,EAAI,OAAO,QAAQ,EAEZD,EAAS,aAAeQ,EAAiDA,EAAmB,CAAC,CACtG,CAEU,qBAA8B,CACtC,MAAO,kBACT,CAEgB,QAAQK,EAAmB,GAAM,CAC/C,KAAK,qBAAqB,QAAQA,CAAgB,EAClD,MAAM,QAAQA,CAAgB,CAChC,CAEO,qBAAqBC,EAAuB,CACjD,GAAM,CAAE,OAAAzB,EAAQ,cAAA0B,CAAc,EAAI,KAAK,wBAAwBD,CAAO,EACtE,KAAK,QAAUzB,EACf,KAAK,eAAiB0B,CACxB,CAEO,wBAAwBD,EAAuB,CACpD,OAAOE,GAAcF,CAAO,CAC9B,CAEU,2BAA2BG,EAA8B,CACjE,GAAM,CAAE,oBAAAC,EAAqB,cAAAC,CAAc,EAAIC,GAAmBH,CAAS,EAE3E,YAAK,qBAAqB,kBAAkBC,CAAmB,EAExDG,GAA2BF,CAAa,CACjD,CAEU,cAAcL,EAAuB,CAG7C,IAAMQ,EAA0BR,EAAQ,MAAM,EAAGA,EAAQ,OAAS,IAAoB,EAChFS,EAAoBT,EAAQ,MAAMA,EAAQ,OAAS,IAAoB,EAE7E,YAAK,qBAAqB,eAAeQ,CAAuB,EACzD,KAAK,wBAAwBC,CAAiB,CACvD,CACF,EC7GO,IAAeC,GAAf,cAGGC,EAAgC,CACjC,YAAYC,EAAqBC,EAAmBC,EAAgD,CACzG,IAAMC,EAAkBD,EAAmB,IAAI,CAAC,CAAE,MAAAE,EAAO,OAAAC,CAAO,IAAM,CACpE,IAAMC,EAAQL,EAAY,KAAK,IAAII,EAAQD,CAAK,EAChD,MAAO,CACL,MAAOA,EAAQE,EACf,OAAQD,EAASC,CACnB,CACF,CAAC,EAEKC,EAAYJ,EAAgB,OAElC,OAAUK,EAAK,IAAM,CACnB,IAAMC,EAA0B,CAACC,EAAeC,IAAqBC,GAAM,CAAIC,GAAK,CAAC,EAAE,EAAGH,EAAO,SAAS,EAAMG,GAAK,CAAC,EAAE,EAAGF,EAAO,SAAS,CAAC,EAAG,CAAC,EAAE,KAAK,EAAG,GAAG,EAAE,KAAK,EAG9JG,EAAa,CAACC,EAAkBC,IAAoD,CACxF,GAAM,CAAE,MAAAZ,EAAO,OAAAC,CAAO,EAAIF,EAAgBY,CAAQ,EAClD,OAAOC,EAAKZ,EAAOC,CAAM,EAAI,KAAK,IAAID,EAAQC,CAAM,EAAI,EAAI,CAC9D,EAEMY,EAAeF,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAMA,EAAI,CAAC,EACxEC,EAAeJ,GAAqBD,EAAWC,EAAU,CAACG,EAAG,IAAM,EAAIA,CAAC,EAa9E,OAXwBlB,EACrB,IAAOa,GAAK,CAACN,EAAW,GAAG,EAAGN,EAAW,SAAS,CAAC,EACnD,IAAOW,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DQ,EAAYF,CAAQ,EACpBI,EAAYJ,CAAQ,CACtB,CAAC,CAAC,CAAC,EACF,IAAOH,GAAM,MAAM,KAAK,MAAML,CAAS,EAAG,CAACa,EAAGL,IAAaN,EAC1DN,EAAgBY,CAAQ,EAAE,MAC1BZ,EAAgBY,CAAQ,EAAE,MAC5B,CAAC,CAAC,CAAC,CAGP,CAAC,CACH,CAEO,aAAaM,EAA8B,CAChD,OAAUb,EAAK,IAAM,CACnB,IAAMc,EAAM,KAAK,OAAOD,CAAK,EAC7B,OAAO,KAAK,YACVC,EACAD,EAAM,UACNA,EAAM,gBAAgB,IAAI,CAAC,CAAChB,EAAQD,CAAK,KAAO,CAAE,OAAAC,EAAQ,MAAAD,CAAM,EAAE,CACpE,CACF,CAAC,CACH,CAEA,MAAa,QAAQiB,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAME,GAAWF,CAAK,CAAC,CAClD,CAEA,MAAa,gBAAgBA,EAAgE,CAC3F,IAAMG,EAAW,MAAMD,GAAWF,CAAK,EACjCI,EAAqBjB,EACzB,IAASkB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAC9C,EAEMG,EAAoB,MAAM,QAAQ,IAAIF,EAAgB,IAC1D,MAAOG,EAAgBb,IAAa,CAClC,IAAMc,EAAiB,MAAM,KAAKD,EAAe,SAAS,CAAC,EACrDE,EAAUD,EAAe,OAAO,CAACT,EAAGW,IAAMC,GAAOD,CAAC,CAAC,EACnDE,EAAUJ,EAAe,OAAO,CAACT,EAAGW,IAAM,CAACC,GAAOD,CAAC,CAAC,EAE1D,OAAO,IAAIG,GACT,MAAM,EAAE,EAAE,KAAK,CAAC,EAAE,IAAI,CAACd,EAAGW,IAAM,IAAII,GAAML,EAAQC,CAAC,EAAaE,EAAQF,CAAC,CAAW,CAAC,EACrF,CACE,OAAQP,EAAS,eAAeT,CAAQ,EACxC,MAAOS,EAAS,cAAcT,CAAQ,CACxC,CACF,CACF,CACF,CAAC,EAED,OAAAU,EAAgB,QAASW,GAAMA,EAAE,QAAQ,CAAC,EAEnCZ,EAAS,aAAeG,EAAyCA,EAAkB,CAAC,CAC7F,CAEU,0BAAmC,CAC3C,MAAO,IACT,CACF,EC5FO,IAAMU,GAAN,cAAgCC,EAAkD,CACvF,YAAYC,EAA6C,IAAIC,GAAwB,CACnF,MAAM,oBAAqBD,CAAoB,CACjD,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECVO,SAASE,GACdC,EAC2E,CAC3E,IAAMC,EAAgC,CAAC,EAEjC,CACJ,yBAAAC,CACF,EAAIC,GAAkBH,EAAWC,CAAa,EAExCG,EAAS,CACb,OAAQF,EAAyB,SAAU,EAAI,EAC/C,OAAQA,EAAyB,QAAQ,EACzC,OAAQA,EAAyB,QAAQ,CAC3C,EAEA,OAAAG,GAA2BL,EAAWC,CAAa,EAE5C,CAAE,OAAAG,EAAQ,cAAAH,CAAc,CACjC,CCpBO,SAASK,GAAkBC,EAAkG,CAClI,IAAMC,EAAgC,CAAC,EAEjC,CACJ,eAAAC,EACA,oBAAAC,CACF,EAAIC,GAAsBJ,CAAO,EAE3B,CACJ,yBAAAK,CACF,EAAIC,GAAkBJ,EAAgBD,CAAa,EAE7CM,EAASF,EAAyB,EAAG,GAAI,SAAU,EAAI,EACvDG,EAASH,EAAyB,GAAI,GAAI,QAAQ,EAClDI,EAASJ,EAAyB,GAAI,IAAK,QAAQ,EAEzD,GAAIF,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,cAAAF,EACA,OAAQ,CAAE,OAAAM,EAAQ,OAAAC,EAAQ,OAAAC,CAAO,CACnC,CACF,CClBO,IAAMC,GAAN,cAAuCC,EAA+G,CAC3J,aAAc,CACZ,MAAM,0BAA0B,CAClC,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,wDAAwD,EAG1E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAE/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAAYH,EAAYJ,EAAO,OAAQ,EAAI,EACrD,OAAAM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAAMC,GAAYD,EAAKN,EAAO,MAAM,EACpCM,EAASE,GAAQF,EAAK,CAAC,GAAI,EAAE,EAAG,CAAC,EAAG,CAAC,EAAG,OAAO,EAExCA,CACT,CAAC,CACH,CAEA,MAAa,QAAQP,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMU,GAAWV,CAAK,CAAC,CAClD,CAEU,qBAA8B,CACtC,MAAO,mCACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA+BD,CAAS,CACjD,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAkBD,CAAO,CAClC,CACF,EC/CO,IAAME,GAAN,cAAoCC,EAAsD,CAC/F,YAAYC,EAAiD,IAAIC,GAA4B,CAC3F,MAAM,wBAAyBD,CAAoB,CACrD,CAEU,qBAA8B,CACtC,MAAO,6BACT,CAEU,yBAAkC,CAC1C,MAAO,IACT,CACF,ECZO,IAAME,GAAN,cAA8BC,EAAkB,CAAC,ECAjD,SAASC,GAAMC,EAAgBC,EAAuC,CAC3E,OAAUC,EAAOC,EAAIH,EAAGC,EAAO,OAAO,EAAGA,EAAO,MAAM,CACxD,CCDA,SAASG,GACPC,EACAC,EACAC,EACAC,EACAC,EAA4B,OACf,CACb,GAAM,CAAE,QAAAC,EAAS,KAAAC,CAAK,EAAIL,EAAO,KAE7BM,EAASC,GAAOR,EAAGK,EAASH,EAASE,CAAO,EAChD,OAAAG,EAASE,EAAIF,EAAKD,CAAI,EACtBC,EAAMG,GAAMH,EAAKN,EAAO,KAAK,EACtBE,EAAcQ,GAAKJ,CAAG,EAAIA,CACnC,CAEO,SAASK,GAAKZ,EAAgBC,EAAyB,CAC5D,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAI,CAC1C,CAEO,SAASY,GAAWb,EAAgBC,EAAyB,CAClE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,EAAK,CAC3C,CAEO,SAASa,GAASd,EAAgBC,EAAyB,CAChE,OAAOF,GAAUC,EAAGC,EAAQ,CAAC,EAAG,CAAC,EAAG,GAAM,OAAO,CACnD,CCxBA,SAASc,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAAoBC,EAAyBC,EAAoBC,EAAiC,CACzG,IAAMC,EAAUN,EAAeG,CAAe,EACxCI,EAAQD,EAAQ,QAAUF,EAAaC,EAAaA,GAE1D,GAAIG,GAAQD,CAAK,EACf,MAAM,IAAI,MAAM,+BAA+BA,sBAA0BD,EAAQ,uBAAuBF,kBAA2BC,GAAY,EAGjJ,OAAUI,EACR,IAASC,GACJC,GAASL,EAAS,CAACF,EAAYG,EAAOF,EAAYA,CAAU,CAAC,EAChE,CAAC,EAAG,EAAG,EAAG,CAAC,CACb,CACF,CACF,CAEA,SAASO,EACPT,EACAC,EACAC,EACAQ,EACY,CACZ,IAAMC,EAAUZ,EAAoBC,EAAiBC,EAAYC,CAAU,EACrEU,EAAUC,GAAShB,EAAeI,CAAU,CAAC,EAEnD,OAAAH,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,QAAoB,CACtC,EAEO,CAAE,QAAAC,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASE,EAAwBC,EAAoBL,EAAwC,CAC3F,IAAMP,EAAaU,GAAShB,EAAekB,CAAU,CAAC,EAChDC,EAAYH,GAAShB,EAAekB,CAAU,CAAC,EAErD,OAAAjB,EAAc,KACZ,CAAE,UAAW,GAAGY,WAAuB,EACvC,CAAE,UAAW,GAAGA,UAAsB,CACxC,EAEO,CACL,QAAAP,EACA,OAAAa,CACF,CACF,CAEA,SAASC,EACPjB,EACAC,EACAC,EACAQ,EACiB,CACjB,IAAMQ,EAAOT,EAAkBT,EAAiBC,EAAYC,EAAY,GAAGQ,QAAmB,EACxFS,EAAQL,EAAwBb,EAAY,GAAGS,SAAoB,EAEzE,MAAO,CAAE,KAAAQ,EAAM,MAAAC,CAAM,CACvB,CAEA,SAASC,EACPpB,EACAC,EACAC,EACAQ,EACAW,EAAS,GACY,CACrB,IAAMC,EAAQL,GAAwBI,EAAS,GAAM,GAAKrB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EACpHa,EAAQN,EAAuBjB,EAAiBC,EAAYC,EAAY,GAAGQ,SAAoB,EAErG,MAAO,CAAE,MAAAY,EAAO,MAAAC,CAAM,CACxB,CAEA,MAAO,CACL,uBAAAN,EACA,2BAAAG,CACF,CACF,CAEO,SAASI,GAAcrB,EAA6E,CACzG,GAAM,CACJ,eAAAN,EACA,oBAAA4B,CACF,EAAIC,GAAsBvB,CAAO,EAE3BL,EAAgC,CAAC,EAEjC,CACJ,uBAAAmB,EACA,2BAAAG,CACF,EAAIxB,IAAkBC,EAAgBC,CAAa,EAE7C6B,EAAcV,EAAuB,KAAM,GAAI,EAAG,aAAa,EAC/DW,EAAWR,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DS,EAAWT,EAA2B,KAAM,GAAI,EAAG,UAAU,EAC7DU,EAAWV,EAA2B,KAAM,GAAI,EAAG,UAAU,EAE7DW,EAAcX,EAA2B,MAAO,GAAI,EAAG,cAAe,EAAI,EAC1EY,EAAWZ,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Da,EAAWb,EAA2B,MAAO,GAAI,EAAG,UAAU,EAC9Dc,EAAWd,EAA2B,MAAO,GAAI,EAAG,UAAU,EAE9De,EAAef,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EgB,EAAYhB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEiB,EAAYjB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAElEkB,EAAelB,EAA2B,OAAQ,IAAK,EAAG,eAAgB,EAAI,EAC9EmB,EAAYnB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEoB,EAAYpB,EAA2B,OAAQ,IAAK,EAAG,WAAW,EAClEqB,EAAmBrB,EAA2B,OAAQ,IAAK,EAAG,kBAAkB,EAEhFsB,EAAQpC,EACZ,IAASC,GAAaoC,GAAS9C,EAAe,IAAM,GAAG,EAAG,CAAC,IAAK,GAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAC/E,EAGA,GAFAC,EAAc,KAAK,CAAE,UAAW,IAAK,CAAC,EAElC2B,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAsBlF,MAAO,CAAE,OAnBM,CACb,YAAAE,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEiB,cAAA5C,CAAc,CACjC,CC7IA,SAAS8C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAwBC,EAAkC,CACjE,IAAMC,EAAUJ,EAAmB,GAAGG,kBAAwB,CAAC,EACzDE,EAASL,EAAmB,GAAGG,iBAAuB,CAAC,EAE7D,MAAO,CAAE,QAAAC,EAAS,OAAAC,CAAO,CAC3B,CAEA,SAASC,EAAuBH,EAAiC,CAC/D,IAAMI,EAAUP,EAAmB,GAAGG,iBAAuB,CAAC,EACxDK,EAAOR,EAAmB,GAAGG,cAAoB,CAAC,EAClDM,EAAQP,EAAwBC,CAAM,EAE5C,MAAO,CAAE,KAAM,CAAE,QAAAI,EAAS,KAAAC,CAAK,EAAG,MAAAC,CAAM,CAC1C,CAEA,SAASC,EAA2BP,EAAqC,CACvE,MAAO,CACL,MAAOG,EAAuB,GAAGH,SAAc,EAC/C,MAAOG,EAAuB,GAAGH,SAAc,CACjD,CACF,CAEA,MAAO,CACL,uBAAAG,EACA,2BAAAI,CACF,CACF,CAEO,SAASC,GACdb,EACsD,CACtD,IAAMC,EAAgC,CAAC,EAEjC,CACJ,uBAAAO,EACA,2BAAAI,CACF,EAAIb,IAAkBC,EAAWC,CAAa,EAExCa,EAAcN,EAAuB,aAAa,EAClDO,EAAWH,EAA2B,UAAU,EAChDI,EAAWJ,EAA2B,UAAU,EAChDK,EAAWL,EAA2B,UAAU,EAEhDM,EAAcN,EAA2B,aAAa,EACtDO,EAAWP,EAA2B,UAAU,EAChDQ,EAAWR,EAA2B,UAAU,EAChDS,EAAWT,EAA2B,UAAU,EAEhDU,EAAeV,EAA2B,cAAc,EACxDW,EAAYX,EAA2B,WAAW,EAClDY,EAAYZ,EAA2B,WAAW,EAElDa,EAAeb,EAA2B,cAAc,EACxDc,EAAYd,EAA2B,WAAW,EAClDe,EAAYf,EAA2B,WAAW,EAClDgB,EAAmBhB,EAA2B,kBAAkB,EAEhE,CAAE,GAAAiB,CAAG,EAAI7B,EAGf,GAFAC,EAAc,KAAK,CAAE,aAAc,KAAM,UAAW,IAAK,CAAC,EAEtD,CAAC6B,GAAWD,CAAE,EAChB,MAAM,IAAI,MAAM,yDAAyDA,GAAI,EAG/E,IAAME,EAAS,CACb,YAAAjB,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,YAAAC,EACA,SAAAC,EACA,SAAAC,EACA,SAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,aAAAC,EACA,UAAAC,EACA,UAAAC,EACA,iBAAAC,EACA,GAAAC,CACF,EAEA,OAAAG,GAA2BhC,EAAWC,CAAa,EAE5C,CAAE,OAAA8B,EAAQ,cAAA9B,CAAc,CACjC,CC1FO,SAASgC,GAASC,EAAgBC,EAA0C,CACjF,IAAIC,EAAMC,GAAKH,EAAGC,EAAO,KAAK,EAC9B,OAAAC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAClCC,EAASG,EAAIH,EAAKF,CAAC,EACnBE,EAASI,GAAKJ,CAAG,EACVA,CACT,CAEO,SAASK,GAAaP,EAAgBC,EAA0C,CACrF,IAAIC,EAAMM,GAASR,EAAGC,EAAO,KAAK,EAClCC,EAAME,GAAWF,EAAKD,EAAO,KAAK,EAElC,IAAIQ,EAAYC,GAAQV,EAAG,EAAG,EAAG,OAAO,EAClCW,EAAWC,GAAkBH,EAAO,KAAK,EACzCI,EAAQJ,EAAO,MAAM,CAAC,IAAMP,EAAI,MAAM,CAAC,EAG7C,GAFsBO,EAAO,MAAM,CAAC,IAAMP,EAAI,MAAM,CAAC,GAAKO,EAAO,MAAM,CAAC,IAAMP,EAAI,MAAM,CAAC,EAEtE,CACjB,IAAMY,EAAY,CAAC,GAAGZ,EAAI,KAAK,EAC/BY,EAAU,CAAC,EAAI,EACf,IAAMC,EAAYH,GAAkBE,CAAS,EAC7CZ,EAASc,GAAO,CAACd,EAAKa,CAAM,EAAG,CAAC,EAEhC,IAAME,EAAY,CAAC,GAAGf,EAAI,KAAK,EAC/Be,EAAU,CAAC,EAAI,EACf,IAAMC,EAAYN,GAAkBK,CAAS,EAC7Cf,EAASc,GAAO,CAACd,EAAKgB,CAAM,EAAG,CAAC,CAClC,CAEA,OAAAT,EAASI,EAAWG,GAAO,CAACP,EAAQE,CAAK,EAAG,CAAC,EAAIF,EACjDP,EAASG,EAAII,EAAQP,CAAG,EAExBA,EAASI,GAAKJ,CAAG,EACVA,CACT,CC5BO,IAAMiB,GAAN,cAAiCC,EAAyB,CAC/D,aAAc,CACZ,MAAM,oBAAoB,CAC5B,CAEO,aAAaC,EAA8B,CAChD,GAAM,CAAE,OAAAC,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,kDAAkD,EAGpE,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAI,EAAG,SAAS,EAG/DK,EAAaC,GAAUH,EADb,CAAC,QAAS,QAAS,OAAO,CACO,EAAE,IAAI,GAAG,EAEtDI,EAAMC,GAASH,EAAYJ,EAAO,WAAW,EACjDM,EAASE,GAAQF,EAAK,EAAG,EAAG,OAAO,EAEnCA,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,WAAW,EAC1CM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EACnCM,EAAMG,GAASH,EAAKN,EAAO,QAAQ,EAEnCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EAEpCM,EAAMI,GAAaJ,EAAKN,EAAO,YAAY,EAC3CM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMG,GAASH,EAAKN,EAAO,SAAS,EACpCM,EAAMI,GAAaJ,EAAKN,EAAO,gBAAgB,EAE/C,IAAMW,EAAYL,EAAI,KAAK,CAAC,EAAG,CAAC,CAAC,EAGjC,OAF0BM,GAAOD,EAAWX,EAAO,EAAE,CAGvD,CAAC,CACH,CAEA,MAAa,QAAQD,EAAwC,CAC3D,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,sBAAsBA,EAAwD,CA7D7F,IAAAe,EA+DI,IAAIA,EAAAf,GAAA,YAAAA,EAAO,QAAP,MAAAe,EAAc,KAAMC,GAAQA,GAAO,GAAI,OAAO,IAAI,aAAa,GAAG,EACtE,IAAMC,EAAW,MAAMH,GAAWd,CAAK,EACjCkB,EAA2BhB,EAAK,IAASiB,GAAQ,KAAK,aAAaF,CAAQ,CAAC,CAAC,EAC7EG,EAA0B,MAAM,QAAQ,IAAIF,EAAsB,IAAKG,GAAMA,EAAE,KAAK,CAAC,CAAC,EAC5F,OAAAH,EAAsB,QAASG,GAAMA,EAAE,QAAQ,CAAC,EACzCJ,EAAS,aAAeG,EAA0BA,EAAwB,CAAC,CACpF,CAEU,qBAA8B,CACtC,MAAO,wBACT,CAEU,2BAA2BE,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,EC9EO,SAASE,IAAyBC,EAAuB,CAC9D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCJO,SAASE,GAGdC,EACAC,EAC6B,CAE7B,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,WAAAC,CAAW,CACK,CACtC,CCRO,SAASC,IAAUC,EAA8B,CACtD,OAAO,OAAOA,EAAI,KAAQ,QAC5B,CAEO,SAASC,GAGdC,EACAC,EACkB,CAElB,MAAO,CAAE,GAAGD,EAAW,GADL,CAAE,IAAAC,CAAI,CACY,CACtC,CCRO,SAASC,IAAaC,EAAiC,CAC5D,OAAQA,EAAI,iBAA0BA,EAAI,oBACrCC,GAAmBD,EAAI,iBAAiB,CAC/C,CAEO,SAASE,GAGdC,EACAC,EACAC,EACqB,CAErB,MAAO,CAAE,GAAGF,EAAW,GADL,CAAE,OAAAC,EAAQ,kBAAAC,CAAkB,CACV,CACtC,CCjBA,SAASC,IAAkBC,EAAwCC,EAA+B,CAChG,SAASC,EAA2BC,EAAqBC,EAAuD,CAC9G,IAAMC,EAAaC,GAASN,EAAe,EAAQG,CAAW,EAAG,CAAC,EAAG,EAAGA,EAAa,CAAC,CAAC,EACjFI,EAAsBC,GAASR,EAAeG,CAAW,CAAC,EAC1DM,EAAuBD,GAASR,EAAeG,CAAW,CAAC,EAC3DO,EAAqBF,GAASR,EAAeG,CAAW,CAAC,EACzDQ,EAAyBH,GAASR,EAAeG,CAAW,CAAC,EAEnE,OAAAF,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,oBAAgC,EAChD,CAAE,UAAW,GAAGA,qBAAiC,EACjD,CAAE,UAAW,GAAGA,mBAA+B,EAC/C,CAAE,UAAW,GAAGA,uBAAmC,CACrD,EAEO,CACL,QAAAC,EACA,iBAAAE,EACA,kBAAAE,EACA,gBAAAC,EACA,oBAAAC,CACF,CACF,CAEA,SAASC,EACPC,EACAC,EACAC,EACAX,EACAY,EACY,CACZ,IAAMX,EAAaC,GACjBN,EAAea,EAAaC,EAAcC,EAAaA,CAAU,EACjE,CAACA,EAAYA,EAAYF,EAAYC,CAAW,CAClD,EACMG,EAAUT,GAASR,EAAec,CAAW,CAAC,EAEpD,OAAAb,EAAc,KACZ,CAAE,UAAW,GAAGG,WAAuB,EACvC,CAAE,UAAW,GAAGA,KAAgBY,EAAkB,oBAAsB,QAAS,CACnF,EAEO,CAAE,QAAAX,EAAS,KAAAY,CAAK,CACzB,CAEA,SAASC,EACPL,EACAC,EACAC,EACAX,EACqB,CACrB,GAAM,CACJ,QAAAC,EACA,KAAAY,CACF,EAAIL,EAAkBC,EAAYC,EAAaC,EAAYX,EAAc,EAAI,EAE7E,MAAO,CACL,QAAAC,EACA,kBAAmBY,CACrB,CACF,CAEA,SAASE,EACPN,EACAC,EACAV,EAC4B,CAC5B,IAAMgB,EAAiBlB,EAA2BW,EAAY,GAAGT,kBAA6B,EACxFiB,EAAiBH,EAA2BL,EAAYC,EAAa,EAAG,GAAGV,kBAA6B,EAE9G,MAAO,CAAE,eAAAgB,EAAgB,eAAAC,CAAe,CAC1C,CAEA,SAASC,GAA+C,CACtD,IAAMC,EAASL,EAA2B,EAAG,GAAI,EAAG,oBAAoB,EAClEM,EAASL,EAAsB,GAAI,GAAI,oBAAoB,EAC3DM,EAASN,EAAsB,GAAI,IAAK,oBAAoB,EAC5DO,EAASP,EAAsB,IAAK,IAAK,oBAAoB,EAC7DQ,EAASR,EAAsB,IAAK,IAAK,oBAAoB,EAC7DS,EAAST,EAAsB,IAAK,IAAK,oBAAoB,EAC7DU,EAASV,EAAsB,IAAK,IAAK,oBAAoB,EAC7DW,EAASX,EAAsB,IAAK,IAAK,oBAAoB,EAC7DY,EAASZ,EAAsB,IAAK,IAAK,oBAAoB,EAC7Da,EAASb,EAAsB,IAAK,IAAK,oBAAoB,EAC7Dc,EAAUd,EAAsB,IAAK,IAAK,qBAAqB,EAC/De,EAAUf,EAAsB,IAAK,IAAK,qBAAqB,EAC/DgB,EAAUhB,EAAsB,IAAK,KAAM,qBAAqB,EAChEiB,EAAUjB,EAAsB,KAAM,KAAM,qBAAqB,EACvE,MAAO,CACL,OAAAI,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,EACA,QAAAC,CACF,CACF,CAEA,SAASC,GAAsD,CAC7D,IAAMd,EAASL,EAA2B,KAAM,IAAK,EAAG,yBAAyB,EAC3EM,EAASN,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EO,EAASP,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EQ,EAASR,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1ES,EAAST,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EU,EAASV,EAA2B,IAAK,IAAK,EAAG,yBAAyB,EAC1EW,EAASX,EAA2B,IAAK,GAAI,EAAG,yBAAyB,EACzEY,EAASZ,EAA2B,GAAI,IAAK,EAAG,yBAAyB,EACzEoB,EAA2B1B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH2B,EAAoB3B,EAAkB,IAAK,EAAG,EAAG,kDAAkD,EACnG4B,EAA2B5B,EAAkB,KAAM,GAAI,EAAG,yDAAyD,EACnH6B,EAAoB7B,EAAkB,KAAM,GAAI,EAAG,kDAAkD,EACrG8B,EAA2B9B,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClH+B,EAAoB/B,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGgC,EAA2BhC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHiC,EAAoBjC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGkC,EAA2BlC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHmC,EAAoBnC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EACpGoC,EAA2BpC,EAAkB,IAAK,GAAI,EAAG,yDAAyD,EAClHqC,EAAoBrC,EAAkB,IAAK,GAAI,EAAG,kDAAkD,EA0B1G,MAAO,CACL,OAAAW,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,OAAAC,EACA,gBAjCsB,CACtB,uBAAwBQ,EACxB,gBAAiBC,CACnB,EA+BE,gBA9BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EA4BE,gBA3BsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAyBE,gBAxBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAsBE,gBArBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,EAmBE,gBAlBsB,CACtB,uBAAwBC,EACxB,gBAAiBC,CACnB,CAgBA,CACF,CAEA,MAAO,CACL,yBAAA3B,EACA,6BAAAe,CACF,CACF,CAEO,SAASa,GAAcC,EAA6E,CACzG,IAAMlD,EAAgC,CAAC,EACjC,CACJ,eAAAD,EACA,oBAAAoD,CACF,EAAIC,GAAsBF,CAAO,EAC3B,CACJ,yBAAA7B,EACA,6BAAAe,CACF,EAAItC,IAAkBC,EAAgBC,CAAa,EAC7CqD,EAAchC,EAAyB,EACvCiC,EAAmBlB,EAA6B,EAKhDmB,EAAe,CACnB,UALmBC,GACnBzD,EAAe,KAAO,CAAC,EACvB,CAAC,EAAG,KAAM,CAAC,CACb,CAGA,EAEA,GADAC,EAAc,KAAK,CAAE,UAAW,wBAAyB,CAAC,EACtDmD,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAGlF,MAAO,CACL,OAAQ,CACN,YAAAE,EACA,iBAAAC,EACA,aAAAC,CACF,EACA,cAAAvD,CACF,CACF,CChNA,SAASyD,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAA2BC,EAAgBC,EAAaC,EAA2C,CAC1G,IAAMC,EAAUN,EAAmB,GAAGG,YAAiBC,sBAAyB,EAAG,GAAGC,WAAsB,EACtGE,EAAoBP,EAAmB,GAAGG,YAAiBC,oCAAuC,EAAG,GAAGC,qBAAgC,EAC9I,MAAO,CAAE,QAAAC,EAAS,kBAAAC,CAAkB,CACtC,CAEA,SAASC,EAAsBJ,EAAyC,CACtE,IAAMC,EAAe,oBAAoBD,IACnCK,EAAsB,sBAAsBL,cAC5CM,EAA4B,GAAGL,mBAC/BM,EAA4B,GAAGN,mBAE/BC,EAAUN,EAAmB,GAAGS,sBAAyC,EAAG,GAAGC,WAAmC,EAClHE,EAAmBZ,EAAmB,GAAGS,oBAAuC,EAAG,GAAGC,oBAA4C,EAClIH,EAAoBP,EAAmB,GAAGS,mBAAsC,EAAG,GAAGC,qBAA6C,EACnIG,EAAkBb,EAAmB,GAAGS,0BAA6C,EAAG,GAAGC,mBAA2C,EACtII,EAAsBd,EAAmB,GAAGS,8BAAiD,EAAG,GAAGC,uBAA+C,EAExJ,MAAO,CACL,eAAgB,CACd,QAAAJ,EACA,iBAAAM,EACA,kBAAAL,EACA,gBAAAM,EACA,oBAAAC,CACF,EACA,eAAgBZ,EAA2B,cAAeE,EAAKO,CAAyB,CAC1F,CACF,CAEA,SAASI,GAA+C,CACtD,MAAO,CACL,OAAQb,EAA2B,cAAe,EAAG,oBAAoB,EACzE,OAAQM,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,OAAQA,EAAsB,CAAC,EAC/B,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,EACjC,QAASA,EAAsB,EAAE,CACnC,CACF,CAEA,SAASQ,EAAkBb,EAAgBE,EAAkC,CAC3E,IAAMC,EAAUN,EAAmB,GAAGG,YAAkB,EAAG,GAAGE,WAAsB,EAC9EY,EAAOjB,EAAmB,GAAGG,WAAiB,EAAG,GAAGE,QAAmB,EAC7E,MAAO,CAAE,QAAAC,EAAS,KAAAW,CAAK,CACzB,CAEA,SAASC,EAA0Bd,EAAkC,CACnE,IAAMe,EAAyBH,EAC7B,2BAA2BZ,yBAC3B,kCAAkCA,0BACpC,EACMgB,EAAkBJ,EACtB,2BAA2BZ,mBAC3B,kCAAkCA,mBACpC,EACA,MAAO,CAAE,uBAAAe,EAAwB,gBAAAC,CAAgB,CACnD,CAEA,SAASC,GAAsD,CAC7D,MAAO,CACL,OAAQnB,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,OAAQA,EAA2B,aAAc,EAAG,yBAAyB,EAC7E,gBAAiBgB,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,EAC5C,gBAAiBA,EAA0B,CAAC,CAC9C,CACF,CAEA,MAAO,CACL,yBAAAH,EACA,6BAAAM,CACF,CACF,CAEO,SAASC,GACdxB,EACsD,CACtD,IAAMC,EAAgC,CAAC,EACjC,CACJ,yBAAAgB,EACA,6BAAAM,CACF,EAAIxB,IAAkBC,EAAWC,CAAa,EACxCwB,EAAYzB,EAAU,kBAAkB,EAE9C,GADAC,EAAc,KAAK,CAAE,aAAc,mBAAoB,UAAW,wBAAyB,CAAC,EACxF,CAACyB,GAAWD,CAAS,EACvB,MAAM,IAAI,MAAM,yEAAyEA,GAAW,EAGtG,IAAME,EAAS,CACb,YAAaV,EAAyB,EACtC,iBAAkBM,EAA6B,EAC/C,aAAc,CACZ,UAAAE,CACF,CACF,EAEA,OAAAG,GAA2B5B,EAAWC,CAAa,EAC5C,CAAE,OAAA0B,EAAQ,cAAA1B,CAAc,CACjC,CCzHO,SAAS4B,GAAmBC,EAAgBC,EAA6BC,EAA2B,CACzG,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAOL,EAAGC,EAAO,QAASC,EAAS,MAAM,EACtD,OAAAE,EAASE,EAAIF,EAAKH,EAAO,iBAAiB,EAChCM,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CCLA,IAAMI,IAAU,qBAEhB,SAASC,IAAmBC,EAAgBC,EAAyCC,EAA2B,CAC9G,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAgBL,EAAGC,EAAO,QAASC,EAAS,MAAM,EAC/D,OAAAE,EAASE,GACPF,EACAH,EAAO,gBACPA,EAAO,oBACPA,EAAO,kBACPA,EAAO,iBACPH,GACF,EACUS,GAAYH,EAAK,EAAG,CAAC,CACjC,CAAC,CACH,CAEA,SAASI,IAAsBC,EAAoC,CACjE,MAAO,CAAC,EAAG,EAAG,EAAG,EAAE,EAAE,KAAMC,GAAQA,IAAQD,CAAQ,EAAI,CAAC,EAAG,CAAC,EAAI,CAAC,EAAG,CAAC,CACvE,CAEO,SAASE,GAAYX,EAAgBC,EAA4B,CACtE,OAAUE,EAAK,IAAM,CACnB,IAAIS,EACAR,EAAMS,GAAmBb,EAAGC,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EA0BrD,GAxBuB,CACrBA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,OACPA,EAAO,QACPA,EAAO,QACPA,EAAO,QACPA,EAAO,OACT,EAEe,QAAQ,CAACa,EAAO,IAAM,CACnC,IAAML,EAAW,EAAI,EACfM,EAAuBP,IAAsBC,CAAQ,EAC3DL,EAAML,IAAmBK,EAAKU,EAAM,eAAgBC,CAAoB,EACxEX,EAAMS,GAAmBT,EAAKU,EAAM,eAAgB,CAAC,EAAG,CAAC,CAAC,EACtDL,IAAa,KAAIG,EAASR,EAChC,CAAC,EAEGQ,IAAW,KACb,MAAM,IAAI,MAAM,+CAA+C,EAGjE,MAAO,CACL,IAAAR,EACA,OAAQQ,CACV,CACF,CAAC,CACH,CC9DA,SAASI,IAAIC,EAAoBC,EAAWC,EAAW,CACrD,IAAMC,EAAYH,EAAM,UAAU,EAC5BI,EAAQ,KAAK,IAAID,EAAUF,CAAC,EAAE,CAAC,EAAGE,EAAUF,CAAC,EAAE,CAAC,CAAC,EACjDI,EAAQ,KAAK,IAAIF,EAAUF,CAAC,EAAE,CAAC,EAAGE,EAAUF,CAAC,EAAE,CAAC,CAAC,EACjDK,EAAQ,KAAK,IAAIH,EAAUF,CAAC,EAAE,CAAC,EAAGE,EAAUF,CAAC,EAAE,CAAC,CAAC,EACjDM,EAAQ,KAAK,IAAIJ,EAAUF,CAAC,EAAE,CAAC,EAAGE,EAAUF,CAAC,EAAE,CAAC,CAAC,EACjDO,EAAQ,KAAK,IAAIL,EAAUD,CAAC,EAAE,CAAC,EAAGC,EAAUD,CAAC,EAAE,CAAC,CAAC,EACjDO,EAAQ,KAAK,IAAIN,EAAUD,CAAC,EAAE,CAAC,EAAGC,EAAUD,CAAC,EAAE,CAAC,CAAC,EACjDQ,EAAQ,KAAK,IAAIP,EAAUD,CAAC,EAAE,CAAC,EAAGC,EAAUD,CAAC,EAAE,CAAC,CAAC,EACjDS,EAAQ,KAAK,IAAIR,EAAUD,CAAC,EAAE,CAAC,EAAGC,EAAUD,CAAC,EAAE,CAAC,CAAC,EACjDU,GAASN,EAAQF,IAAUG,EAAQF,GACnCQ,GAASH,EAAQF,IAAUG,EAAQF,GACzC,GAAIG,GAAS,GAAKC,GAAS,EAAG,MAAO,GACrC,IAAMC,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIV,EAAOI,CAAK,EACxCO,EAAmB,KAAK,IAAIF,EAAmBF,EAAkB,CAAG,EAAI,KAAK,IAAIG,EAAmBF,EAAkB,CAAG,EAC/H,OAAOG,GAAoBN,EAAQC,EAAQK,EAC7C,CAEO,SAASC,GACdnB,EACAoB,EACAC,EACAC,EACAC,EACU,CACV,IAAMC,EAAWxB,EAAM,MAAM,CAAC,EACxByB,EAAa,KAAK,IAAIJ,EAAeG,CAAQ,EAE7CE,EAAaN,EAChB,IAAI,CAACO,EAAOC,KAAc,CAAE,MAAAD,EAAO,SAAAC,CAAS,EAAE,EAC9C,OAAQC,GAAMA,EAAE,MAAQN,CAAc,EACtC,KAAK,CAACO,EAAIC,IAAOA,EAAG,MAAQD,EAAG,KAAK,EAEjCE,EAAgBC,GAAeA,GAAKX,EAAe,EAAI,EACvDY,EAAqB,CAAC,EAE5B,OAAAR,EAAW,QAASG,GAAM,CACxB,GAAIK,EAAS,QAAUT,EAAY,OACnC,IAAMU,EAAgBN,EAAE,MACxB,QAAS3B,EAAIgC,EAAS,OAAS,EAAGhC,GAAK,EAAG,EAAEA,EAAG,CAC7C,IAAMkC,EAAMrC,IAAIC,EAAO6B,EAAE,SAAUK,EAAShC,CAAC,CAAC,EAC9C,GAAIkC,IAAQ,IACZP,EAAE,OAASG,EAAaI,CAAG,EACvBP,EAAE,OAASN,GAAgB,KACjC,CACIY,IAAkBN,EAAE,OACtBK,EAAS,KAAKL,EAAE,QAAQ,CAE5B,CAAC,EACMK,CACT,CCnDA,SAASG,IAAkCC,EAAgB,CACzD,IAAMC,EAASC,GAAWC,GAAUH,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EAExCI,EAAQ,CACTC,GAAIJ,EAAI,CAAC,EAAGA,EAAI,CAAC,CAAC,EAClBI,GAAIJ,EAAI,CAAC,EAAGA,EAAI,CAAC,CAAC,CACvB,EACMK,EAAU,CACXC,EAAIN,EAAI,CAAC,EAAMO,GAAIJ,EAAM,CAAC,EAAG,CAAC,CAAC,EAC/BG,EAAIN,EAAI,CAAC,EAAMO,GAAIJ,EAAM,CAAC,EAAG,CAAC,CAAC,CACpC,EACA,MAAO,CAAE,MAAAA,EAAO,QAAAE,CAAQ,CAC1B,CAEA,SAASG,IAAiBC,EAAiBC,EAAiB,CAC1D,GAAM,CAAE,MAAAP,EAAO,QAAAE,CAAQ,EAAIP,IAAkCW,CAAE,EAEzDT,EAASC,GAAWC,GAAUQ,EAAI,CAAC,EAAG,CAAC,CAAC,CAAC,EACzCC,EAAcJ,GAAOK,EAAOC,GAAON,GAAIP,EAAI,CAAC,EAAG,CAAC,CAAC,EAAGG,EAAM,CAAC,CAAC,EAAG,CAAC,EAChEW,EAAcR,EAAOM,EAAOL,GAAIP,EAAI,CAAC,EAAG,EAAE,EAAGG,EAAM,CAAC,CAAC,EAAGE,EAAQ,CAAC,CAAC,EAClEU,EAAcR,GAAOK,EAAOC,GAAON,GAAIP,EAAI,CAAC,EAAG,CAAC,CAAC,EAAGG,EAAM,CAAC,CAAC,EAAG,CAAC,EAChEa,EAAcV,EAAOM,EAAOL,GAAIP,EAAI,CAAC,EAAG,EAAE,EAAGG,EAAM,CAAC,CAAC,EAAGE,EAAQ,CAAC,CAAC,EAExE,OAAUH,GACLe,GAAM,CACJb,GAAIU,EAAUH,CAAQ,EACtBP,GAAIY,EAAUD,CAAQ,EACtBT,EAAIQ,EAAUH,CAAQ,EACtBL,EAAIU,EAAUD,CAAQ,CAC3B,CAAC,EACD,CAAC,EAAG,CAAC,CACP,CACF,CAEO,SAASG,GAAYC,EAA6BC,EAA+BC,EAA2B,CACjH,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYJ,EAAe,MAAM,CAAC,EAEpCK,EAAQhB,IACPiB,EAAWC,GAAKL,EAAO,UAAW,CAACE,EAAW,EAAG,CAAC,CAAC,EAAG,CAAC,GAAI,CAAC,CAAC,EAC7DE,EAAQN,EAAgB,CAAC,GAAI,CAAC,CAAC,CACpC,EACAK,EAAWC,EAAQD,EAAO,CAACD,EAAYC,EAAM,MAAM,CAAC,EAAID,EAAY,CAAC,CAAC,EAEtE,IAAMI,EAAsBC,GAAWC,GAAMT,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,EAAE,CAAC,CAAC,EACnFU,EAAYD,GAAMF,EAAkB,CAAC,EAAG,EAAG,CAAC,EAAG,CAAC,GAAI,GAAI,CAAC,CAAC,EAE9DG,EAAYL,EAAQK,EAAQ,CAACP,EAAWO,EAAO,MAAM,CAAC,CAAW,CAAC,EAElE,IAAMC,EAAkB9B,GAAQuB,CAAK,EAC/BQ,EAAmB/B,GAAQ6B,CAAM,EAEvC,MAAO,CAAE,MAAOC,EAAc,OAAQC,CAAc,CACtD,CAAC,CACH,CCrDO,SAASC,GACdC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAYH,EAAE,MAAM,CAAC,EACrBI,EAA2BC,EAC/BC,GAAUN,EAAGC,EAAO,sBAAsB,EAC1C,CAACE,EAAW,GAAI,EAAG,CAAC,CACtB,EACMI,EAAqBF,EACzBC,GAAUN,EAAGC,EAAO,eAAe,EACnC,CAACE,EAAW,GAAI,CAAC,CACnB,EACA,MAAO,CAAE,sBAAAC,EAAuB,gBAAAG,CAAgB,CAClD,CAAC,CACH,CCfO,SAASC,GACdC,EACAC,EACAC,EACA,CACA,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAQC,GAAmBL,EAAGE,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACnDI,EAAQD,GAAmBD,EAAOF,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDK,EAAQF,GAAmBC,EAAOJ,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDM,EAAQH,GAAmBE,EAAOL,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDO,EAAQJ,GAAmBG,EAAON,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDQ,EAAQL,GAAmBI,EAAOP,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDS,EAAQN,GAAmBK,EAAOR,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EACvDU,EAAQP,GAAmBM,EAAOT,EAAO,OAAQ,CAAC,EAAG,CAAC,CAAC,EAEvDW,EAAiBC,GAAmBb,EAAQC,EAAO,eAAe,EAClEa,EAAiBD,GAAmBd,EAAGE,EAAO,eAAe,EAC7Dc,EAAiBF,GAAmBR,EAAOJ,EAAO,eAAe,EACjEe,EAAiBH,GAAmBN,EAAON,EAAO,eAAe,EACjEgB,EAAiBJ,GAAmBJ,EAAOR,EAAO,eAAe,EACjEiB,EAAiBL,GAAmBF,EAAOV,EAAO,eAAe,EAEjEkB,EAAoBC,GAAO,CAC/BR,EAAe,sBACfE,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,sBACfC,EAAe,qBACjB,EAAG,CAAC,EAEEG,EAAsBD,GAAO,CACjCR,EAAe,gBACfE,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,gBACfC,EAAe,eACjB,EAAG,CAAC,EAEJ,MAAO,CACL,eAAAC,EACA,iBAAAE,CACF,CACF,CAAC,CACH,CC9CO,IAAMC,GAAN,KAA4B,CAOjC,YAAY,CAAE,cAAAC,EAAe,WAAAC,CAAW,EAA4B,CAAC,EAAG,CANxE,KAAU,MAAQ,wBAUhB,GAHA,KAAK,eAAiBD,GAAiB,GACvC,KAAK,YAAcC,GAAc,IAE7B,OAAO,KAAK,gBAAmB,UAAY,KAAK,gBAAkB,GAAK,KAAK,gBAAkB,EAChG,MAAM,IAAI,MAAM,GAAG,KAAK,+DAA+D,EAGzF,GAAI,OAAO,KAAK,aAAgB,SAC9B,MAAM,IAAI,MAAM,GAAG,KAAK,4CAA4C,CAExE,CAEA,IAAI,eAAwB,CAAE,OAAO,KAAK,cAAgB,CAE1D,IAAI,YAAqB,CAAE,OAAO,KAAK,WAAa,CACtD,ECbO,IAAMC,GAAN,cAA6BC,EAAyB,CAC3D,aAAc,CACZ,MAAM,gBAAgB,CACxB,CAEO,aAAaC,EAAiB,CACnC,GAAM,CAAE,OAAAC,CAAO,EAAI,KACnB,GAAI,CAACA,EAAQ,MAAM,IAAI,MAAM,8CAA8C,EAC3E,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAAiBC,GAAKJ,EAAM,cAAc,IAAK,EAAK,EAAG,SAAS,EAChEK,EAAOC,GAAOC,GAAIJ,EAAa,KAAK,EAAG,CAAC,EACxCK,EAAWC,GAAYJ,EAAGJ,EAAO,WAAW,EAC5C,CAAE,eAAAS,EAAgB,iBAAAC,CAAiB,EAAIC,GAAgBJ,EAAS,IAAKA,EAAS,OAAQP,EAAO,gBAAgB,EACnH,OAAOY,GAAYH,EAAgBC,EAAkBV,EAAO,YAAY,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQD,EAAkB,CACrC,OAAO,KAAK,aAAa,MAAMc,GAAWd,CAAK,CAAC,CAClD,CAEA,MAAa,YAAYA,EAAkBe,EAAkC,CAAC,EAA6B,CACzG,GAAM,CAAE,WAAAC,EAAY,cAAAC,CAAc,EAAI,IAAIC,GAAsBH,CAAO,EACjEI,EAAW,MAAML,GAAWd,CAAK,EACjC,CAAE,MAAOoB,EAAQ,OAAQC,CAAQ,EAAI,KAAK,aAAaF,CAAQ,EAC/DG,EAAQF,EAAO,CAAC,EAChBG,EAASF,EAAQ,CAAC,EACxB,QAASG,EAAI,EAAGA,EAAIJ,EAAO,OAAQI,IACjCJ,EAAOI,CAAC,EAAE,QAAQ,EAClBH,EAAQG,CAAC,EAAE,QAAQ,EAErB,IAAMC,EAAa,MAAM,KAAKF,EAAO,SAAS,CAAC,EAEzCG,EAAUC,GAAkBL,EAAOG,EAAwBT,EAD5C,GACsEC,CAAa,EAClGW,EAAeT,EAAS,2BAA2B,CAAC,EACpDU,EAAYV,EAAS,UACrBW,EAAOD,EAAYD,EAAa,MAChCG,EAAOF,EAAYD,EAAa,OAChCI,EAAYV,EAAM,UAAU,EAC5BW,EAAUP,EACb,IAAKQ,GAAQ,CACZ,GAAM,CAACC,EAAKC,CAAM,EAAI,CACpB,KAAK,IAAI,EAAGJ,EAAUE,CAAG,EAAE,CAAC,CAAC,EAC7B,KAAK,IAAI,EAAKF,EAAUE,CAAG,EAAE,CAAC,CAAC,CACjC,EAAE,IAAKG,GAAQA,EAAMN,CAAI,EACnB,CAACO,EAAMC,CAAK,EAAI,CACpB,KAAK,IAAI,EAAGP,EAAUE,CAAG,EAAE,CAAC,CAAC,EAC7B,KAAK,IAAI,EAAKF,EAAUE,CAAG,EAAE,CAAC,CAAC,CACjC,EAAE,IAAKG,GAAQA,EAAMP,CAAI,EACzB,OAAO,IAAIU,GACTf,EAAWS,CAAG,EACd,IAAIO,GAAKH,EAAMH,EAAKI,EAAQD,EAAMF,EAASD,CAAG,EAC9C,CAAE,OAAQhB,EAAS,eAAe,CAAC,EAAG,MAAOA,EAAS,cAAc,CAAC,CAAE,CACzE,CACF,CAAC,EACH,OAAAG,EAAM,QAAQ,EACdC,EAAO,QAAQ,EACRU,CACT,CAEU,qBAA8B,CACtC,MAAO,uBACT,CAEU,2BAA2BS,EAA8B,CACjE,OAAOC,GAA2BD,CAAS,CAC7C,CAEU,cAAcE,EAAuB,CAC7C,OAAOC,GAAcD,CAAO,CAC9B,CACF,ECjFO,SAASE,IAAqBC,EAAuB,CAC1D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CAEO,SAASE,IAAuBH,EAAuB,CAC5D,OAAOD,IAAqBC,CAAO,CACrC,CAGO,IAAMI,GAAN,cAA+BF,EAAe,CAAC,ECd/C,IAAMG,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,QAAU,OAAQ,EAC5B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,QAAS,OAAO,EAC1B,IAAIA,GAAM,OAAQ,OAAO,EACzB,IAAIA,GAAM,QAAS,OAAO,CAC5B,EAEaC,GAAwB,CACnC,IAAID,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaE,GAA+C,CAAC,QAAS,QAAS,MAAM,EAExEC,GAAqB,oBACrBC,GAAoC,mCCVjD,IAAMC,GAAYC,GAAa,OAAOA,GAAQ,SAEvC,SAASC,GAAeC,EAAa,CAC1C,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,mBAAmBA,GAAQ,EAG7C,GAAI,OAAOA,EAAO,oBAAuB,UACvC,MAAM,IAAI,MAAM,wDAAwDA,EAAO,oBAAoB,EAGrG,GAAI,CAACH,GAASG,EAAO,YAAY,GAAKA,EAAO,aAAe,GAAKA,EAAO,aAAe,EACrF,MAAM,IAAI,MAAM,gEAAgEA,EAAO,cAAc,EAGvG,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,MAAOC,GAAW,OAAOA,GAAM,QAAQ,EAE1D,MAAM,IAAI,MAAM,kEAAkE,KAAK,UAAUD,EAAO,OAAO,GAAG,EAGpH,GACE,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1B,CAACA,EAAO,QAAQ,QAChB,CAACA,EAAO,QAAQ,IAAKE,GAAWA,GAAK,CAAC,CAAC,EAAE,MAAOA,GAAWL,GAASK,EAAE,CAAC,GAAKL,GAASK,EAAE,CAAC,CAAC,EAE5F,MAAM,IAAI,MAAM,wEAAwE,KAAK,UAAUF,EAAO,OAAO,GAAG,EAG1H,GAAIA,EAAO,UACT,CAAC,MAAM,QAAQA,EAAO,OAAO,GAC1BA,EAAO,QAAQ,SAAW,GAC1B,CAACA,EAAO,QAAQ,MAAMH,EAAQ,GAEjC,MAAM,IAAI,MAAM,8EAA8E,KAAK,UAAUG,EAAO,OAAO,GAAG,CAElI,CCjDO,SAASG,GAAMC,EAA6B,CACjD,OAAUC,EAAK,IAAM,CACnB,IAAMC,EAASC,EAAIH,EAAMI,GAAO,kBAAmB,CAAC,EACpD,OAAUC,EAAOC,GAAQC,GAAIP,EAAGE,CAAG,CAAC,EAAGA,CAAG,CAC5C,CAAC,CACH,CCFO,SAASM,GAAkBC,EAAgBC,EAAwC,CACxF,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAOF,EAAKF,EAAO,KAAK,QAAS,CAAC,EAAG,CAAC,EAAG,OAAO,EACzDE,EAASG,GAAIH,EAAKF,EAAO,GAAG,GAAG,EAC/BE,EAASI,EAAIJ,EAAKF,EAAO,GAAG,OAAO,EACnCE,EAASK,EAAIL,EAAKF,EAAO,KAAK,IAAI,EAC3BQ,GAAMN,CAAG,CAClB,CAAC,CACH,CCTO,SAASO,GAAuBC,EAAgBC,EAA0C,CAC/F,OAAUC,EAAK,IAAM,CACnB,IAAIC,EAASC,GAAIJ,EAAG,CAAC,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,CAAC,CAAC,EACpD,OAAAG,EAASE,GAAgBF,EAAKF,EAAO,iBAAkBA,EAAO,iBAAkB,CAAC,EAAG,CAAC,EAAG,OAAO,EAC/FE,EAASG,EAAIH,EAAKF,EAAO,IAAI,EACtBM,GAAMJ,CAAG,CAClB,CAAC,CACH,CCHA,SAASK,IAAkBC,EAAwCC,EAA+B,CAChG,IAAMC,EAAoBC,GAAyBH,EAAgBC,CAAa,EAEhF,SAASG,EAAuBC,EAAcC,EAAiC,CAC7E,IAAMC,EAASC,GAASR,EAAeK,CAAI,CAAC,EACtCI,EAAaD,GAASR,EAAeK,CAAI,CAAC,EAEhD,OAAAJ,EAAc,KACZ,CAAE,UAAW,GAAGK,OAAmB,EACnC,CAAE,UAAW,GAAGA,WAAuB,CACzC,EACO,CAAE,IAAAC,EAAK,QAAAE,CAAQ,CACxB,CAEA,SAASC,EAA+BC,EAAoBC,EAAqBN,EAAyC,CACxH,IAAMO,EAAOX,EAAkBS,EAAYC,EAAa,EAAG,GAAGN,QAAmB,EAC3EQ,EAAKV,EAAuBQ,EAAa,GAAGN,MAAiB,EACnE,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CACA,IAAMC,EAA6BC,GAAkChB,EAAgBC,CAAa,EAElG,MAAO,CACL,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,CACF,CAEO,SAASE,GACdC,EACAC,EACAC,EACAC,EACgE,CAChE,GAAM,CACJ,eAAArB,EACA,oBAAAsB,CACF,EAAIC,GAAsBL,CAAO,EAE3BjB,EAAgC,CAAC,EACjC,CACJ,kBAAAC,EACA,+BAAAQ,EACA,2BAAAK,CACF,EAAIhB,IAAkBC,EAAgBC,CAAa,EAC/CuB,EAEJ,GAAIL,EAAO,mBAAoB,CAC7B,GAAM,CAACM,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQf,EAAO,mBACjBjB,EAAkBuB,EAAIC,EAAI,EAAG,OAAO,EACpCX,EAA2BU,EAAIC,EAAI,OAAO,EACxCS,EAAQpB,EAA2BW,EAAIC,EAAI,OAAO,EAClDS,EAAQrB,EAA2BY,EAAIC,EAAI,OAAO,EAClDS,EAAQtB,EAA2Ba,EAAIC,EAAI,OAAO,EAClDS,EAAQvB,EAA2Bc,EAAIC,EAAI,OAAO,EAClDS,EAAQxB,EAA2Be,EAAIC,EAAI,OAAO,EAClDS,EAAQR,EAAKjB,EAA2BgB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQR,EAAKlB,EAA2BiB,EAAIC,EAAI,OAAO,EAAI,OAC3DS,EAAQxC,EAAkB+B,GAAMD,GAAMD,EAAI,EAAIX,EAAiB,EAAG,OAAO,EAC/EI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,KAAO,CACL,GAAM,CAACjB,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,EAAIC,CAAE,EAAIZ,EACvCa,EAAQxB,EAA+Be,EAAIC,EAAI,OAAO,EACtDS,EAAQzB,EAA+BgB,EAAIC,EAAI,OAAO,EACtDS,EAAQ1B,EAA+BiB,EAAIC,EAAI,OAAO,EACtDS,EAAQ3B,EAA+BkB,EAAIC,EAAI,OAAO,EACtDS,EAAQ5B,EAA+BmB,EAAIC,EAAI,OAAO,EACtDS,EAAQ7B,EAA+BoB,EAAIC,EAAI,OAAO,EACtDS,EAAQ9B,EAA+BqB,EAAIC,EAAI,OAAO,EACtDS,EAAQ/B,EAA+BsB,EAAIC,EAAI,OAAO,EACtDS,EAAQxC,EAAkB+B,EAAI,EAAIb,EAAiB,EAAG,OAAO,EACnEI,EAAS,CACP,MAAAU,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,EAAO,MAAAC,CAC1D,CACF,CACA,GAAIpB,EAAoB,EAAE,SAAW,EACnC,MAAM,IAAI,MAAM,kCAAkCA,EAAoB,EAAE,QAAQ,EAElF,MAAO,CAAE,OAAAE,EAAQ,cAAAvB,CAAc,CACjC,CCjFA,SAAS0C,IAAkBC,EAAgBC,EAA+B,CACxE,IAAMC,EAAqBC,GAA0BH,EAAWC,CAAa,EAE7E,SAASG,EAAuBC,EAA2B,CACzD,IAAMC,EAAMJ,EAAmB,GAAGG,QAAc,CAAC,EAC3CE,EAAUL,EAAmB,GAAGG,YAAkB,CAAC,EACzD,MAAO,CAAE,IAAAC,EAAK,QAAAC,CAAQ,CACxB,CAEA,SAASC,EAAkBH,EAA4B,CACrD,IAAMI,EAAUP,EAAmB,GAAGG,YAAkB,CAAC,EACnDK,EAAOR,EAAmB,GAAGG,SAAe,CAAC,EACnD,MAAO,CAAE,QAAAI,EAAS,KAAAC,CAAK,CACzB,CAEA,SAASC,EAA+BN,EAAmC,CACzE,IAAMO,EAAOJ,EAAkB,GAAGH,QAAa,EACzCQ,EAAKT,EAAuB,GAAGC,MAAW,EAChD,MAAO,CAAE,KAAAO,EAAM,GAAAC,CAAG,CACpB,CAEA,IAAMC,EAA6BC,GAA+Bb,CAAkB,EACpF,MAAO,CACL,kBAAAM,EACA,+BAAAG,EACA,2BAAAG,CACF,CACF,CAEO,SAASE,GACdhB,EACAiB,EACgE,CAChE,IAAMhB,EAAgC,CAAC,EAEjC,CACJ,kBAAAO,EACA,+BAAAG,EACA,2BAAAG,CACF,EAAIf,IAAkBC,EAAWC,CAAa,EAE1CiB,EAEJ,GAAID,EAAO,mBAAoB,CAE7B,IAAME,EAAcF,EAAO,aAAeA,EAAO,YAAY,QAAU,EACvEC,EAAS,CACP,MAAOD,EAAO,mBAAqBT,EAAkB,OAAO,EAAIM,EAA2B,OAAO,EAClG,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOA,EAA2B,OAAO,EACzC,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAOK,EAAa,EAAIL,EAA2B,OAAO,EAAI,OAC9D,MAAON,EAAkB,OAAO,CAClC,CACF,MACEU,EAAS,CACP,MAAOP,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOA,EAA+B,OAAO,EAC7C,MAAOH,EAAkB,OAAO,CAClC,EAGF,OAAAY,GAA2BpB,EAAWC,CAAa,EAC5C,CAAE,OAAAiB,EAAQ,cAAAjB,CAAc,CACjC,CC9EO,IAAMoB,GAAN,KAAwB,CAO7B,YAAY,CAAE,UAAAC,EAAW,eAAAC,CAAe,EAAwB,CAAC,EAAG,CANpE,KAAU,MAAQ,oBAUhB,GAHA,KAAK,WAAaD,GAAa,IAC/B,KAAK,gBAAkBC,GAAkB,GAErC,OAAO,KAAK,YAAe,UAAY,KAAK,WAAa,KAAO,EAClE,MAAM,IAAI,MAAM,GAAG,KAAK,2DAA2D,EAGrF,GAAI,OAAO,KAAK,iBAAoB,UAAY,KAAK,iBAAmB,GAAK,KAAK,iBAAmB,EACnG,MAAM,IAAI,MAAM,GAAG,KAAK,gEAAgE,CAE5F,CAEA,IAAI,WAAoB,CAAE,OAAO,KAAK,UAAY,CAElD,IAAI,gBAAyB,CAAE,OAAO,KAAK,eAAiB,CAC9D,ECLO,IAAMC,GAAN,cAA6BC,EAAmC,CAKrE,YAAYC,EAA0B,CACpC,MAAM,YAAY,EAClBC,GAAeD,CAAM,EACrB,KAAK,QAAUA,CACjB,CAEA,IAAW,QAA2B,CACpC,OAAO,KAAK,OACd,CAEA,IAAW,iBAA2B,CACpC,OAAO,KAAK,OAAO,iBAAmB,KAAK,OAAO,QAAQ,OAAS,CACrE,CAEA,IAAW,iBAA0B,CACnC,MAAO,IAAK,KAAK,gBAAkB,KAAK,OAAO,QAAQ,OAAS,EAClE,CAEO,cAAcE,EAAgBC,EAAiD,CACpF,IAAIC,EAAMC,GAAkBH,EAAGC,EAAO,KAAK,EAC3C,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EACzCC,EAAMC,GAAkBD,EAAKD,EAAO,KAAK,EAClCI,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaD,EAAgBC,EAAsC,CACxE,IAAIC,EAAM,KAAK,OAAO,mBAClBI,GAAMD,GAAUL,EAAGC,EAAO,MAAqB,QAAS,EAAK,CAAC,EAC9DM,GAAuBP,EAAGC,EAAO,KAA4B,EACjE,OAAAC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMK,GAAuBL,EAAKD,EAAO,KAAK,EAC9CC,EAASE,GAAQF,EAAK,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,CAAC,EAAG,MAAM,EAC5CA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EACjEA,EAAMD,EAAO,MAAQM,GAAuBL,EAAKD,EAAO,KAAK,EAAIC,EAC1DG,GAAUH,EAAKD,EAAO,MAAO,QAAS,EAAK,CACpD,CAEO,aAAaO,EAAiBC,EAAgC,CACnE,GAAM,CAAE,OAAAR,CAAO,EAAI,KAEnB,GAAI,CAACA,EACH,MAAM,IAAI,MAAM,0CAA0C,EAG5D,OAAUS,EAAK,IAAM,CACnB,IAAIC,EAAiBC,GAAKJ,EAAM,cAAcC,EAAW,EAAK,EAAG,SAAS,EAC1E,OAAAE,EAAc,KAAK,OAAO,QACtBE,GAAUF,EAAa,KAAK,OAAO,OAAO,EAC1CA,EACJA,EAAcA,EAAY,IAAI,GAAG,EAC1B,KAAK,OAAO,mBACf,KAAK,aAAaA,EAAaV,CAAyB,EACxD,KAAK,cAAcU,EAAaV,CAAoC,CAC1E,CAAC,CACH,CAEA,MAAa,QAAQO,EAAkBC,EAAyC,CAC9E,OAAO,KAAK,aAAa,MAAMK,GAAWN,CAAK,EAAGC,CAAS,CAC7D,CAEA,MAAa,OAAOD,EAAkBO,EAAoC,CAAC,EAA+B,CACxG,GAAM,CAAE,UAAAN,EAAW,eAAAO,CAAe,EAAI,IAAIC,GAAkBF,CAAa,EACnEG,EAAW,MAAMJ,GAAWN,CAAK,EACjCN,EAAM,MAAM,KAAK,aAAagB,EAAUT,CAAS,EACjDU,EAAUT,EAAK,IAASU,GAAQlB,CAAG,EAAE,CAAC,EAAE,WAAW,CAAC,EACpDmB,EAAkB,CACtB,MAAOH,EAAS,cAAc,CAAC,EAC/B,OAAQA,EAAS,eAAe,CAAC,CACnC,EAEMI,EAAU,MAAM,KAAK,aAAaH,EAAMD,EAAS,2BAA2B,CAAC,EAAGF,CAAc,EACpGd,EAAI,QAAQ,EACZiB,EAAK,QAAQ,EAEb,IAAMI,EAAQD,EAAQ,IAAKE,GAAQA,EAAI,GAAG,EACpCC,EAASH,EAAQ,IAAKE,GAAQA,EAAI,KAAK,EACvCE,EAAcJ,EAAQ,IAAKE,GAAQA,EAAI,UAAU,EACjDG,EAAaL,EAAQ,IAAKE,GAAQ,KAAK,OAAO,QAAQA,EAAI,KAAK,CAAC,EAgBtE,OAdgBI,GACdL,EAAM,IAAKM,GAAQA,EAAI,QAAQpB,CAAS,CAAC,EACzCgB,EACA,KAAK,OAAO,aACZ,EACF,EAE2B,IAAKK,GAAQ,IAAIC,GAC1CN,EAAOK,CAAG,EACVJ,EAAYI,CAAG,EACfH,EAAWG,CAAG,EACdP,EAAMO,CAAG,EACTT,CACF,CAAC,CAEH,CAEU,qBAA8B,CACtC,MAAO,EACT,CAEU,2BAA2BW,EAA8B,CACjE,OAAOC,GAA2BD,EAAW,KAAK,MAAM,CAC1D,CAEU,cAAcE,EAAuB,CAC7C,IAAMC,EAAc,KAAK,OAAO,aAAevC,GAAe,qBAExDwC,EAAaD,EAAcA,EAAY,OAAS,OACtD,GAAIC,IAAe,GAAKA,IAAe,GAAKA,IAAe,EACzD,MAAM,IAAI,MAAM,oEAAoEA,yBAAkC,EAExH,OAAOC,GAAcH,EAAS,KAAK,OAAQ,KAAK,gBAAiBC,CAAW,CAC9E,CAEA,MAAgB,aACdG,EACAC,EACAvB,EACA,CACA,GAAM,CAAE,MAAAwB,EAAO,OAAAC,CAAO,EAAIF,EACpB9B,EAAY,KAAK,IAAI+B,EAAOC,CAAM,EAClCC,EAAoBjC,EAAY+B,EAChCG,EAAoBlC,EAAYgC,EAEhCG,EAAWN,EAAa,MAAM,CAAC,EAC/BO,EAAW,KAAK,OAAO,QAAQ,OAE/B,CAACC,EAAaC,EAAcC,CAAiB,EAAOtC,EAAK,IAAM,CACnE,IAAMuC,EAAWX,EAAa,QAAQ,CAACM,EAAUA,EAAUC,EAAU,KAAK,eAAe,CAAC,EAEpFtB,EAAQ0B,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACtEpB,EAASwB,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,CAAC,CAAC,EACvEnB,EAAc,KAAK,gBAClBwB,GAAQD,EAAS,MAAM,CAAC,EAAG,EAAG,EAAG,CAAC,EAAG,CAACL,EAAUA,EAAUC,EAAU,KAAK,OAAO,QAAQ,MAAM,CAAC,EAAG,CAAC,EACnGM,GAAO,CAAC,EACf,MAAO,CAAC5B,EAAOE,EAAQC,CAAW,CACpC,CAAC,EAEKJ,EAAU,CAAC,EACX8B,EAAa,MAAML,EAAa,MAAM,EACtCM,EAAY,MAAMP,EAAY,MAAM,EAC1C,QAASQ,EAAM,EAAGA,EAAMV,EAAUU,IAChC,QAASC,EAAM,EAAGA,EAAMX,EAAUW,IAChC,QAASC,EAAS,EAAGA,EAASX,EAAUW,IAAU,CAChD,IAAMC,EAAQC,GAAQN,EAAWE,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAE,CAAC,CAAC,EACrD,GAAI,CAACxC,GAAkByC,EAAQzC,EAAgB,CAC7C,IAAM2C,GAAQJ,EAAMG,GAAQL,EAAUC,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAE,CAAC,CAAC,GAAKZ,EAAYF,EACrEkB,GAAQN,EAAMI,GAAQL,EAAUC,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAE,CAAC,CAAC,GAAKZ,EAAYD,EACrEkB,EAAe,KAAK,IAAIR,EAAUC,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAE,CAAC,CAAC,EAAI,KAAK,OAAO,QAAQA,CAAM,EAAE,EAAKZ,EAAYF,EACvGoB,EAAgB,KAAK,IAAIT,EAAUC,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAE,CAAC,CAAC,EAAI,KAAK,OAAO,QAAQA,CAAM,EAAE,EAAKZ,EAAYD,EACxG3C,EAAK2D,EAAOE,EAAa,EACzBE,EAAKH,EAAOE,EAAc,EAC1BE,EAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EACzB,CAAE,WAAAS,EAAY,MAAAC,CAAM,EAAI,KAAK,gBAC/B,MAAM,KAAK,sBAAsBlB,EAAkCgB,CAAG,EACtE,CAAE,WAAY,EAAG,MAAO,CAAE,EAC9B1C,EAAQ,KAAK,CACX,IAAK,IAAI6C,GAAYnE,EAAG+D,EAAG/D,EAAI6D,EAAYE,EAAID,CAAW,EAC1D,MAAAL,EACA,WAAYA,EAAQQ,EACpB,MAAAC,EACA,GAAGF,CACL,CAAC,CACH,CACF,CAIJ,OAAAlB,EAAY,QAAQ,EACpBC,EAAa,QAAQ,EACrBC,EAAkB,QAAQ,EACnB1B,CACT,CAEA,MAAc,sBAAsB8C,EAA4BJ,EAAmD,CACjH,GAAM,CAAE,IAAAV,EAAK,IAAAC,EAAK,OAAAC,CAAO,EAAIQ,EACvBK,EAAc,MAAMD,EAAc,MAAM,EAC9C,OAAO,MAAM,KAAK,OAAO,QAAQ,MAAM,EAAE,KAAK,CAAC,EAC5C,IAAI,CAACE,EAAGC,IAAMF,EAAYf,CAAG,EAAEC,CAAG,EAAEC,CAAM,EAAEe,CAAC,CAAC,EAC9C,IAAI,CAACN,EAAYC,KAAW,CAC3B,WAAAD,EACA,MAAAC,CACF,EAAE,EACD,OAAO,CAACM,EAAKC,IAAUD,EAAI,WAAaC,EAAK,WAAaD,EAAMC,CAAK,CAC1E,CACF,EAjNaC,GAAN9E,GAAM8E,GACG,qBAAuB,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,IAAK,KAAM,IAAI,ECPzE,IAAMC,GAAN,cAAyBC,EAAe,CAC7C,YAAYC,EAAqB,GAAM,CACrC,IAAMC,EAAS,CACb,mBAAAD,EACA,aAAcE,GACd,QAAS,CAAC,MAAM,EAChB,GAAIF,EACA,CACA,QAASG,GACT,QAASC,EACX,EACE,CACA,QAASC,GACT,gBAAiB,EACnB,CACJ,EAEA,MAAMJ,CAAM,CACd,CAEA,IAAW,oBAA8B,CACvC,OAAO,KAAK,OAAO,kBACrB,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYK,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,OAAO,KAAK,mBAAqBE,GAAoCC,EACvE,CAEmB,2BAA2BC,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,EClDO,SAASC,IAAiBC,EAAuBC,EAAqB,GAAM,CACjF,IAAMC,EAAM,IAAIC,GAAWF,CAAkB,EAC7C,OAAAC,EAAI,eAAeF,CAAO,EACnBE,CACT,CCPO,IAAME,GAAN,cAAsCC,EAAkB,CAAxD,kCACL,KAAmB,MAAQ,0BAC7B,ECNO,IAAMC,GAAN,KAAwB,CAE7B,MAAa,KAAKC,EAA2D,CAC3E,OAAOA,EAAY,MAAM,KAAK,IAAI,CAAC,CACrC,CAEA,MAAa,KAAkB,CAC7B,MAAM,IAAI,MAAM,yCAAyC,CAC3D,CACF,ECFA,eAAsBC,GACpBC,EACAC,EAEAC,EACAC,EAEAC,EAAwF,CAAC,CAAE,YAAAC,CAAY,IAAMA,EAC7G,CACA,IAAMC,EAAYN,EAAc,IAAKO,GAAkBC,GAAoBD,CAAY,EACnFH,EAAoBG,CAAY,EAChCA,EAAa,SAAU,EACrBE,EAAgDN,IACpDF,aAAoBS,GAChB,MAAMC,GAAmBV,EAAOK,CAAS,EACzC,MAAMM,GAAaX,EAAOK,CAAS,GAEnCO,EAAU,MAAMX,EAAeO,CAAK,EAC1C,OAAAA,EAAM,QAASK,GAAMA,aAAgBJ,IAAUI,EAAE,QAAQ,CAAC,EACnDD,CACT,CAEA,eAAsBE,GACpBR,EACAN,EAEAe,EACAb,EAEAC,EACA,CACA,OAAOL,GACL,CAACQ,CAAY,EACbN,EACA,MAAOQ,GAAUO,EAAcP,EAAM,CAAC,CAAC,EACvCN,EACAC,CACF,CACF,CC3CO,IAAMa,GAAgB,GAEhBC,GAAc,CACzB,IAAIC,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,EAC5B,IAAIA,GAAM,SAAU,QAAQ,CAC9B,EAEaC,GAAqC,CAAC,QAAS,QAAS,MAAM,ECFpE,IAAMC,GAAN,cAA+BC,EAAe,CACnD,aAAc,CACZ,IAAMC,EAAS,CACb,mBAAoB,GACpB,aAAcC,GACd,QAAS,CAAC,MAAM,EAChB,QAASC,GACT,QAASC,GACT,mBAAoB,GACpB,YAAa,CAAC,EAAG,GAAI,GAAI,GAAI,IAAK,IAAK,GAAG,CAC5C,EAEA,MAAMH,CAAM,CACd,CAEA,IAAW,SAAmB,CAC5B,OAAO,KAAK,OAAO,OACrB,CAEA,MAAa,YAAYI,EAAkBC,EAA6D,CAEtG,OADyB,MAAM,KAAK,OAAOD,EAAOC,CAAa,GACvC,IAAKC,GAAQ,IAAIC,GAAcD,EAAI,MAAOA,EAAI,YAAa,CAAE,MAAOA,EAAI,WAAY,OAAQA,EAAI,WAAY,CAAC,CAAC,CACxI,CAEmB,qBAA8B,CAC/C,MAAO,0BACT,CAEmB,2BAA2BE,EAA8F,CAC1I,OAAO,MAAM,2BAA2BA,CAAS,CACnD,CACF,ECzBO,IAAMC,GAAO,CAClB,eAAgB,IAAIC,GACpB,iBAAkB,IAAIC,GACtB,WAAY,IAAIC,GAChB,kBAAmB,IAAIC,GACvB,sBAAuB,IAAIC,GAC3B,mBAAoB,IAAIC,GACxB,kBAAmB,IAAIC,GACvB,aAAc,IAAIC,EACpB,EASaC,IAAiB,CAACC,EAAkBC,IAA6DX,GAAK,eAAe,YAAYU,EAAOC,CAAO,EAS/IC,IAAmB,CAACF,EAAkBC,IAA+DX,GAAK,iBAAiB,YAAYU,EAAOC,CAAO,EASrJE,IAAa,CAACH,EAAkBC,IAA0DX,GAAK,WAAW,YAAYU,EAAOC,CAAO,EASpIG,IAAuBJ,GAAmEV,GAAK,kBAAkB,gBAAgBU,CAAK,EAWtIK,IAA2BL,GAAmEV,GAAK,sBAAsB,gBAAgBU,CAAK,EAY9IM,IAAyBN,GAA6DV,GAAK,mBAAmB,sBAAsBU,CAAK,EASzIO,IAA4BP,GAAmEV,GAAK,kBAAkB,mBAAmBU,CAAK,EAS9IQ,IAAuBR,GAAiFV,GAAK,aAAa,oBAAoBU,CAAK,EAEnJS,IAA2BC,GAAgBpB,GAAK,eAAe,KAAKoB,CAAG,EACvEC,IAA6BD,GAAgBpB,GAAK,iBAAiB,KAAKoB,CAAG,EAC3EE,IAAuBF,GAAgBpB,GAAK,WAAW,KAAKoB,CAAG,EAC/DG,IAAyBH,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EACxEI,IAA6BJ,GAAgBpB,GAAK,sBAAsB,KAAKoB,CAAG,EAChFK,IAA4BL,GAAgBpB,GAAK,mBAAmB,KAAKoB,CAAG,EAC5EM,IAA2BN,GAAgBpB,GAAK,kBAAkB,KAAKoB,CAAG,EAC1EO,IAAsBP,GAAgBpB,GAAK,aAAa,KAAKoB,CAAG,EAGhEQ,IAAyBT,IACzBU,IAAcpB,IACdqB,IAAkBhB,ICtGxB,IAAMiB,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAmFL,EAA0E,CAClK,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAE3BC,EAAwB,MAAMC,GAClCF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IACvBA,EAAM,IAAKC,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,CAA6B,CACjG,EACA,KAAK,cACP,EAEA,OAAOJ,EAAc,IACnB,CAACM,EAAcC,IAAMC,GAAmCF,EAAcL,EAAsBM,CAAC,CAAC,CAChG,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA2B,KAAM,KAAK,KAAK,CACxD,CACF,EAEaC,GAAN,cAAsFhB,EAA8F,CACzL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAGF,IAAMK,EAAkB,MAAMC,GAC5BN,EACA,KAAK,MACJF,GAASC,GAAK,kBAAkB,mBAAmBD,CAAI,EACxD,KAAK,cACP,EAEA,OAAOI,GAA0BF,EAAcK,CAAe,CAChE,CAEA,kBAAmB,CACjB,OAAO,IAAIE,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHf,EAAuC,CAC1J,kBAAmB,CAC1B,OAAO,IAAIgB,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAA0HP,EAA0C,CAChK,kBAAmB,CAC1B,OAAO,IAAIQ,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC3EO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,oBAAAC,CAGZ,CACF,EAEaC,GAAN,cAAgFL,EAAuE,CAC5J,MAAsB,KAA+C,CACnE,IAAMM,EAAgB,MAAM,KAAK,WAC3BC,EAAqB,MAAMC,GAC/BF,EACA,KAAK,MACL,MAAOG,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,aAAa,oBAAoBD,CAAI,CAAoC,CAAC,EAChI,KAAK,cACP,EACA,OAAOJ,EAAc,IAAI,CAACM,EAAcC,IAAM,CAC5C,GAAM,CAAE,IAAAC,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAIT,EAAmBM,CAAC,EAC/D,OAAOI,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAAC,CACH,CAEA,qBAAsB,CACpB,OAAO,IAAIK,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFpB,EAA2F,CACnL,MAAsB,KAAyD,CAC7E,IAAMY,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,GAAM,CAAE,IAAAE,EAAK,OAAAC,EAAQ,kBAAAC,CAAkB,EAAI,MAAMK,GAC/CT,EACA,KAAK,MACJF,GAASC,GAAK,aAAa,oBAAoBD,CAAI,EACpD,KAAK,cACP,EACA,OAAOO,GAAcC,GAAiBN,EAAcG,EAAQC,CAAiB,EAAGF,CAAG,CACrF,CAEA,qBAAsB,CACpB,OAAO,IAAIQ,GAAiC,KAAM,KAAK,KAAK,CAC9D,CACF,EAEaC,GAAN,cAAoHlB,EAAoC,CACpJ,qBAAsB,CAC7B,OAAO,IAAImB,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAuHN,EAAuC,CAC1J,qBAAsB,CAC7B,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,ECzEO,IAAMC,GAAN,cAAqEC,EAAwB,CAClG,YAEYC,EAEAC,EACV,CACA,MAAM,EAJI,gBAAAD,EAEA,WAAAC,CAGZ,CACF,EAEaC,GAAN,cAAsGJ,EAAyE,CACpL,MAAsB,KAA8C,CAClE,IAAMK,EAAgB,MAAM,KAAK,WAQjC,OAPoB,MAAMC,GACxBD,EACA,KAAK,MACJE,GAAU,QAAQ,IAAIA,EAAM,IAAKC,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,CAA0B,CAAC,EACxH,KACCE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,GACmB,IAAI,CAACC,EAAYC,IAAMC,GAAkCR,EAAcO,CAAC,EAAGD,CAAU,CAAC,CAC3G,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CACF,EAEaC,GAAN,cAAwGhB,EAA6F,CAC1M,MAAsB,KAAwD,CAC5E,IAAMU,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EAAc,OACnB,IAAMC,EAAa,MAAMM,GACvBP,EACA,KAAK,MACJF,GAASC,GAAK,mBAAmB,sBAAsBD,CAAI,EAC5D,KAECE,GAAiBA,EAAa,UAAU,MAAM,KAAM,CAAE,iBAAkB,EAAK,CAAC,CACjF,EACA,OAAOG,GAAyBH,EAAcC,CAAU,CAC1D,CAEA,qBAAsB,CACpB,OAAO,IAAIO,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CACF,ECnDO,IAAMC,GAAN,cAAkEC,EAAwB,CAC/F,YAEYC,EAEAC,EAEAC,EACV,CACA,MAAM,EANI,gBAAAF,EAEA,WAAAC,EAEA,wBAAAC,CAGZ,CAEA,IAAc,aAAyD,CACrE,OAAO,KAAK,mBACRC,GAAK,sBACLA,GAAK,iBACX,CACF,EAEaC,GAAN,cAAgFN,EAAqE,CAC1J,MAAsB,KAA6C,CACjE,IAAMO,EAAgB,MAAM,KAAK,WAC3BC,EAAaD,EAAc,IAAKE,GAAQA,EAAI,SAAS,EACrDC,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAOJ,CAAU,EAC/C,MAAMK,GAAa,KAAK,MAAOL,CAAU,EACvCM,EAAsB,MAAM,QAAQ,IAAIJ,EAAM,IAAKK,GAAS,KAAK,YAAY,gBAAgBA,CAAI,CAAC,CAAC,EACzG,OAAAL,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EAC3CT,EACZ,OAAO,CAACU,EAAeC,IAAMJ,EAAoBI,CAAC,CAAC,EACnD,IAAI,CAACC,EAAcD,IAAME,GAAiCD,EAAcL,EAAoBI,CAAC,CAAC,CAAC,CAEpG,CAEA,qBAAsB,CACpB,OAAO,IAAIG,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA4C,KAAM,KAAK,KAAK,CACzE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAA8B,KAAM,KAAK,KAAK,CAC3D,CACF,EAEaC,GAAN,cAAmFxB,EAAyF,CACjL,MAAsB,KAAuD,CAC3E,IAAMmB,EAAe,MAAM,KAAK,WAChC,GAAI,CAACA,EACH,OAEF,GAAM,CAAE,UAAAM,CAAU,EAAIN,EAChBT,EAAgD,KAAK,iBAAoBC,GAC3E,MAAMC,GAAmB,KAAK,MAAO,CAACa,CAAS,CAAC,EAChD,MAAMZ,GAAa,KAAK,MAAO,CAACY,CAAS,CAAC,EACxCC,EAAY,MAAM,KAAK,YAAY,gBAAgBhB,EAAM,CAAC,CAAC,EACjE,OAAAA,EAAM,QAASM,GAAMA,aAAgBL,IAAUK,EAAE,QAAQ,CAAC,EACnDI,GAAiCD,EAAcO,CAAS,CACjE,CAEA,qBAAsB,CACpB,OAAO,IAAIC,GAAkD,KAAM,KAAK,KAAK,CAC/E,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GAA+C,KAAM,KAAK,KAAK,CAC5E,CAEA,oBAAqB,CACnB,OAAO,IAAIC,GAAgC,KAAM,KAAK,KAAK,CAC7D,CACF,EC1EO,IAAMC,GAAN,cAA2CC,EAAwB,CAExE,YAAsBC,EAA4BC,EAAgC,IAAIC,GAAyB,CAC7G,MAAM,EADc,WAAAF,EAA4B,aAAAC,CAElD,CACF,EAEaE,GAAN,cAAiCL,EAAqC,CAC3E,MAAsB,KAAgC,CACpD,GAAM,CAAE,MAAAE,EAAO,QAAAC,CAAQ,EAAI,KACvBG,EACJ,GAAIH,aAAmBI,GAAyBD,EAASE,GAAK,iBAAiB,YAAYN,EAAOC,CAAO,UAChGA,aAAmBC,GAAuBE,EAASE,GAAK,eAAe,YAAYN,EAAOC,CAAO,UACjGA,aAAmBM,GAAmBH,EAASE,GAAK,WAAW,YAAYN,EAAOC,CAAO,MAC7F,OAAM,IAAI,MAAM,sHAAsH,EAC3I,OAAOG,CACT,CAEQ,gCAAmE,CACzE,OAAO,IAAI,QAAiC,CAACI,EAASC,IAAW,CAC/D,KAAK,IAAI,EACN,KAAMC,GAAeF,EAAQE,EAAW,IAAKC,GAAcC,GAAwB,CAAC,EAAGD,CAAS,CAAC,CAAC,CAAC,EACnG,MAAOE,GAAQJ,EAAOI,CAAG,CAAC,CAC/B,CAAC,CACH,CAEA,kBAAkBC,EAAqB,GAAO,CAC5C,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,MACLD,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIE,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,+BAA+B,EACpC,KAAK,KACP,CACF,CACF,EAEaC,GAAN,cAAmCpB,EAA+C,CACvF,MAAsB,KAA0C,CAC9D,IAAMqB,EAAiB,MAAM,IAAIhB,GAAmB,KAAK,MAAO,KAAK,OAAO,EACxEiB,EAAgCD,EAAe,CAAC,EACpD,OAAAA,EAAe,QAASE,GAAkB,CACpCA,EAAc,MAAQD,EAA8B,QAAOA,EAAgCC,EACjG,CAAC,EACMD,CACT,CAEQ,+BAA4E,CAElF,OAAO,IAAI,QAA2C,MAAOZ,GAAY,CACvE,IAAMG,EAAY,MAAM,KAAK,IAAI,EACjCH,EAAQG,EAAYC,GAA4B,CAAC,EAAGD,CAAS,EAAI,MAAS,CAC5E,CAAC,CACH,CAEA,kBAAkBG,EAAqB,GAAO,CAC5C,OAAO,IAAIQ,GACT,KAAK,8BAA8B,EACnC,KAAK,MACLR,CACF,CACF,CAEA,qBAAsB,CACpB,OAAO,IAAIS,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CAEA,kBAAmB,CACjB,OAAO,IAAIC,GACT,KAAK,8BAA8B,EACnC,KAAK,KACP,CACF,CACF,ECjGO,SAASC,IAAiBC,EAAkBC,EAAgC,IAAIC,GAA+C,CACpI,OAAO,IAAIC,GAAqBH,EAAOC,CAAO,CAChD,CAEO,SAASG,GAAeJ,EAAkBC,EAAgC,IAAIC,GAA6C,CAChI,OAAO,IAAIG,GAAmBL,EAAOC,CAAO,CAC9C,CCLA,eAAsBK,IAAuBC,EAAkBC,EAAiG,CAC9J,OAAOC,GAAeF,EAAO,IAAIG,GAAsBF,EAAgB,CAAE,cAAAA,CAAc,EAAI,CAAC,CAAC,CAAC,EAC3F,kBAAkB,EAClB,oBAAoB,CACzB,CAEA,eAAsBG,IAAmBJ,EAAkBK,EAAoC,CAAC,EAA4E,CAC1K,OAAOH,GAAeF,EAAO,IAAIM,GAAkBD,CAAa,CAAC,EAC9D,kBAAkB,EAClB,oBAAoB,CACzB,CAEO,IAAME,IAAWR,IClBjB,SAASS,GAAkBC,EAA+BC,EAA+B,CAC9F,GAAID,EAAK,SAAWC,EAAK,OAAQ,MAAM,IAAI,MAAM,gDAAgD,EACjG,IAAMC,EAAQ,MAAM,KAAKF,CAAI,EACvBG,EAAQ,MAAM,KAAKF,CAAI,EAC7B,OAAO,KAAK,KACVC,EACG,IAAI,CAACE,EAAKC,IAAMD,EAAMD,EAAME,CAAC,CAAC,EAC9B,OAAO,CAACC,EAAKC,IAASD,EAAOC,EAAOA,EAAO,CAAC,CACjD,CACF,CCJO,IAAMC,GAAN,KAAkB,CAIvB,YAAYC,EAAkJC,EAAoB,GAAK,CACrL,KAAK,mBAAqBA,EAC1B,IAAMC,EAAa,MAAM,QAAQF,CAAM,EAAIA,EAAS,CAACA,CAAM,EAC3D,GAAI,CAACE,EAAW,OAAQ,MAAM,IAAI,MAAM,yDAAyD,EACjG,IAAIC,EAAQ,EACNC,EAAoB,IAAM,UAAUD,MAC1C,KAAK,oBAAsBD,EAAW,IAAKG,GAAS,CAClD,GAAIA,aAAgBC,GAAwB,OAAOD,EACnD,GAAIA,aAAgB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,CAAI,CAAC,EAC/F,GAAIA,EAAK,YAAcA,EAAK,sBAAsB,aAAc,OAAO,IAAIC,GAAuBF,EAAkB,EAAG,CAACC,EAAK,UAAU,CAAC,EACxI,MAAM,IAAI,MAAM,qMAAqM,CACvN,CAAC,CACH,CAEA,IAAW,oBAA+C,CAAE,OAAO,KAAK,mBAAqB,CAE7F,IAAW,mBAA4B,CAAE,OAAO,KAAK,kBAAoB,CAElE,oBAAoBE,EAA+BC,EAAqC,CAC7F,OAAOA,EACJ,IAAKC,GAAMC,GAAkBD,EAAGF,CAAe,CAAC,EAChD,OAAO,CAACI,EAAIC,IAAOD,EAAKC,EAAI,CAAC,GAAKJ,EAAY,QAAU,EAC7D,CAEO,gBAAgBD,EAA0C,CAC/D,OAAO,KAAK,mBACT,IAAI,CAAC,CAAE,YAAAC,EAAa,MAAAK,CAAM,IAAM,IAAIC,GAAUD,EAAO,KAAK,oBAAoBN,EAAiBC,CAAW,CAAC,CAAC,EAC5G,OAAO,CAACO,EAAMC,IAAUD,EAAK,SAAWC,EAAK,SAAWD,EAAOC,CAAK,CACzE,CAEO,cAAcT,EAA0C,CAC7D,IAAMU,EAAY,KAAK,gBAAgBV,CAAe,EACtD,OAAQU,EAAU,SAAW,KAAK,mBAAsBA,EAAY,IAAIH,GAAU,UAAWG,EAAU,QAAQ,CACjH,CAEO,QAAc,CACnB,MAAO,CACL,kBAAmB,KAAK,mBACxB,mBAAoB,KAAK,oBAAoB,IAAKC,GAAOA,EAAG,OAAO,CAAC,CACtE,CACF,CAEA,OAAc,SAASC,EAAwB,CAC7C,IAAMC,EAAqBD,EAAK,mBAAmB,IAAKD,GAAYZ,GAAuB,SAASY,CAAE,CAAC,EACvG,OAAO,IAAInB,GAAYqB,EAAoBD,EAAK,iBAAiB,CACnE,CACF,EClDO,SAASE,IAAuBC,EAAuB,CAC5D,IAAMC,EAAM,IAAIC,GAChB,OAAAD,EAAI,eAAeD,CAAO,EACnBC,CACT,CCHO,SAASE,IAAiBC,EAAYC,EAA4B,CACvE,GAAM,CAAE,MAAAC,EAAO,OAAAC,CAAO,EAAI,IAAIC,GAAWH,EAAW,MAAOA,EAAW,MAAM,EAE5E,GAAIC,GAAS,GAAKC,GAAU,EAC1B,MAAM,IAAI,MAAM,uCAAuC,KAAK,UAAU,CAAE,MAAAD,EAAO,OAAAC,CAAO,CAAC,GAAG,EAG5F,GAAI,MAAM,QAAQH,CAAO,EAEvB,OAAQA,EAAuB,IAAKK,GAAQN,IAAcM,EAAK,CAAE,MAAAH,EAAO,OAAAC,CAAO,CAAgB,CAAC,EAGlG,GAAIG,GAAoBN,CAAO,EAAG,CAChC,IAAMO,EAAmBP,EAAQ,UAAU,QAAQE,EAAOC,CAAM,EAC1DK,EAAmBR,EAAQ,mBAAmB,QAAQO,EAAiB,IAAI,MAAOA,EAAiB,IAAI,MAAM,EACnH,OAAOE,GAAwBC,GAAwBV,EAASO,CAAgB,EAAGC,CAAgB,CACrG,CAEA,OAAIG,GAAoBX,CAAO,EACtBU,GAAwBV,EAASA,EAAQ,UAAU,QAAQE,EAAOC,CAAM,CAAC,EAG9EH,aAAmBY,IAAiBZ,aAAmBa,GACjDb,EAAgB,QAAQE,EAAOC,CAAM,EAGxCH,CACT,CCTO,IAAMc,IAAcA", + "names": ["tfjs_esm_exports", "__export", "li", "la", "ua", "ec", "rc", "nc", "oc", "Jn", "Vo", "ca", "pa", "Go", "_l", "ma", "fa", "da", "ga", "ha", "Wo", "Al", "up", "lp", "pg", "Uo", "ui", "cp", "pp", "p1", "vb", "Py", "uo", "Ho", "co", "mp", "$l", "ci", "qo", "fp", "Ko", "Dl", "dp", "hp", "jo", "Xo", "ya", "xa", "Yo", "My", "ia", "gp", "ba", "Zo", "xp", "yp", "bp", "Rl", "jd", "Kd", "u0", "Sb", "wp", "Qo", "Cp", "Hd", "Ca", "wa", "ts", "pi", "Ia", "Ip", "Fl", "va", "es", "rs", "Xd", "ns", "Si", "Ni", "Gc", "Sa", "mi", "Mh", "Na", "os", "Ly", "vp", "po", "Sp", "be", "Ta", "ka", "ss", "zo", "Ol", "Tp", "vh", "Vn", "is", "Ea", "_a", "Np", "as", "Aa", "f1", "$a", "Da", "Ra", "m1", "Nlt", "Su", "ls", "cs", "Pl", "Ep", "kp", "_p", "us", "ps", "ms", "fs", "ds", "Fa", "sc", "Ap", "hs", "fi", "Pa", "La", "Ma", "Oa", "A0", "gs", "di", "Hr", "xh", "hi", "xs", "Tlt", "ys", "bs", "ws", "ic", "kn", "$p", "Dp", "Rp", "Ll", "w0", "Fp", "Jo", "Cs", "Ze", "Is", "Ns", "gi", "Ss", "Pp", "vs", "Op", "Ts", "ja", "ks", "Es", "rl", "za", "Lp", "xi", "Ba", "Xi", "As", "Ga", "_s", "Va", "yi", "Rs", "Wa", "bi", "Ml", "Ua", "zl", "Bl", "Mp", "wi", "$s", "Vl", "Fs", "mo", "Ha", "Gl", "Wl", "Ul", "Os", "Ds", "en", "Ps", "Ls", "Ft", "pe", "Qn", "qa", "Ka", "to", "zp", "Ci", "Hl", "klt", "Xa", "Ii", "vi", "Ee", "tx", "ex", "Y", "uE", "Jp", "Gu", "Ai", "rx", "nx", "ox", "sx", "ix", "ax", "Zl", "lx", "lE", "S", "mE", "Ri", "ux", "cx", "px", "Jl", "mx", "Oj", "dE", "Fi", "Wr", "gy", "bt", "jZ", "J", "fx", "vr", "an", "In", "oe", "dx", "hx", "gx", "xx", "j$", "tm", "vn", "rm", "yx", "wx", "Flt", "Ql", "nm", "fh", "Uu", "om", "cn", "$R", "ah", "B0", "Cx", "Oi", "JZ", "Xl", "hE", "Ix", "Bct", "Nt", "Vct", "ut", "vx", "Sx", "nS", "xE", "Pi", "zct", "Mct", "oS", "Ln", "M", "Dr", "Nx", "Tx", "sr", "ir", "kx", "Hu", "lu", "yo", "Kct", "jct", "Li", "Zp", "gM", "cu", "Mi", "Hj", "xy", "Hct", "m0", "Zd", "Bg", "mlt", "ck", "Bq", "Vq", "Fe", "un", "el", "tu", "oo", "jj", "X$", "BS", "Pr", "ym", "Ex", "_x", "Ax", "De", "qr", "ED", "eu", "sm", "Mn", "iS", "wE", "q7", "K7", "hD", "$x", "Nr", "ru", "Fx", "im", "am", "Fr", "nu", "lm", "Ox", "j6", "CE", "Mt", "uA", "Sr", "ou", "Lx", "IE", "Sn", "Ne", "oh", "vE", "_D", "Ja", "zi", "Mx", "zx", "Y8", "AD", "qu", "Mj", "D", "SE", "NE", "qt", "yh", "Qa", "Gs", "Bi", "fr", "wr", "T", "TE", "pn", "kE", "EE", "_E", "AE", "Bx", "ln", "iu", "Qg", "Vx", "Gct", "$E", "DE", "RE", "FE", "e_", "Xu", "r_", "Vi", "Gi", "Uct", "tl", "Kx", "Yp", "J8", "h1", "Fu", "ZZ", "$D", "Or", "um", "qct", "R", "dr", "n_", "o_", "s_", "i_", "uu", "cm", "pm", "pt", "Bj", "mh", "uh", "mm", "fm", "Z8", "Q", "j4", "Xct", "plt", "ult", "clt", "ST", "a_", "Qr", "jx", "K6", "dm", "hm", "Rt", "gm", "ph", "xm", "Yu", "ze", "au", "Vs", "su", "X6", "Wj", "q6", "hr", "Se", "zt", "bm", "zn", "qe", "wo", "Xx", "Y6", "lt", "mt", "Bu", "Yx", "Di", "or", "Ke", "Ws", "Zx", "l_", "u_", "c_", "xo", "t_", "B", "Rr", "Wct", "Jx", "lc", "Pt", "wm", "Qx", "Rlt", "Dlt", "Cm", "gr", "lr", "p_", "y", "Gq", "Wq", "ty", "Dx", "blt", "pR", "CA", "Hm", "flt", "hM", "g1e", "gd", "_e", "ry", "Te", "It", "OU", "r0", "PU", "LU", "MU", "zU", "br", "r", "Ut", "e", "BU", "n", "o", "El", "T1", "Plt", "N1", "Ue", "fo", "t", "Pn", "g1", "x1", "Pu", "He", "ho", "Ou", "go", "C1", "S1", "b1", "On", "v1", "Gp", "Vg", "h0", "s", "i", "a", "u", "l", "Ms", "y1", "u4", "w1", "Vp", "I1", "d0", "xt", "c", "p", "m", "f", "d", "iE", "aE", "PE", "OE", "j0", "ME", "LE", "X0", "BE", "zE", "Y0", "GE", "VE", "Z0", "UE", "WE", "J0", "h", "g", "qE", "HE", "Q0", "KE", "XE", "jE", "Gx", "w", "C", "N", "_", "A", "b", "$", "P", "V", "G", "W", "q", "H", "ch", "uSt", "YE", "$K", "DK", "RK", "FK", "OK", "PK", "Ku", "wN", "Zb", "Mk", "WW", "UW", "HW", "qW", "fI", "Bk", "zk", "st", "ee", "je", "ge", "fe", "Ae", "$n", "ar", "qn", "zr", "L", "U", "x", "F", "_u", "X", "dt", "Zc", "Lt", "Yt", "Xt", "Mo", "K", "Z", "et", "rt", "ot", "at", "nt", "Eu", "ft", "gt", "Ct", "$t", "_t", "Gt", "yt", "At", "nr", "Yn", "Wt", "ue", "he", "$e", "Br", "Vr", "Kn", "jn", "Zr", "ea", "si", "Od", "Md", "Er", "ra", "Kk", "Pd", "Nl", "Yc", "na", "gI", "mg", "xI", "fg", "Jr", "dg", "yI", "bI", "kg", "EI", "jt", "sa", "jk", "Xk", "hg", "wI", "Qv", "CI", "Ld", "II", "gg", "xg", "Tl", "vI", "bg", "yg", "SI", "Rg", "zd", "NI", "e1", "Fg", "Jc", "TI", "kI", "t1", "_I", "Zk", "AI", "wg", "Cg", "$I", "DI", "RI", "Qk", "FI", "OI", "PI", "Au", "LI", "MI", "Ig", "zI", "Bd", "BI", "VI", "GI", "t0", "Og", "Jk", "Vd", "WI", "JI", "UI", "HI", "qI", "vg", "Sg", "KI", "jI", "Ng", "Tg", "XI", "YI", "Dn", "rp", "o1", "n1", "e0", "FU", "ZI", "Yk", "QI", "tv", "ev", "rv", "nv", "ov", "sv", "iv", "av", "lv", "uv", "cv", "pv", "mv", "fv", "dv", "hv", "gv", "xv", "yv", "bv", "wv", "Cv", "Iv", "vv", "Sv", "Nv", "Tv", "kv", "Ev", "_v", "Av", "$v", "Dv", "Rv", "Fv", "Ov", "Pv", "Lv", "Mv", "zv", "Bv", "Vv", "Gv", "Wv", "Uv", "Hv", "qv", "Kv", "jv", "Eg", "_g", "Gd", "Xv", "Yv", "Qc", "Ag", "tp", "ep", "Zv", "j", "ct", "Dt", "ce", "Xe", "Ye", "ne", "re", "yr", "Xn", "oa", "$g", "Wd", "Jv", "nn", "kl", "Dg", "rU", "nU", "oU", "sU", "iU", "aU", "lU", "uU", "cU", "pU", "mU", "fU", "dU", "hU", "gU", "xU", "yU", "bU", "wU", "CU", "IU", "vU", "SU", "NU", "TU", "kU", "EU", "_U", "AU", "$U", "DU", "Pg", "r1", "Lg", "Mg", "RU", "jW", "g8e", "KW", "XW", "dI", "Gk", "Vk", "Rn", "s1", "zg", "VU", "np", "GU", "WU", "UU", "HU", "E", "Re", "Fn", "Zn", "Jt", "qU", "aa", "KU", "jU", "XU", "Du", "YU", "ZU", "pr", "n0", "o0", "s0", "i0", "a0", "JU", "op", "l0", "Bo", "i1", "a1", "sp", "ii", "ip", "ai", "l1", "$u", "QU", "Ud", "ap", "t4", "Le", "e4", "r4", "Ru", "u1", "o4", "i4", "s4", "c1", "c0", "p0", "a4", "qd", "Ti", "l4", "Bp", "Yd", "f0", "h4", "Up", "Kl", "x4", "d4", "zs", "Jd", "mr", "zu", "Wp", "x0", "Mu", "E1", "Lu", "on", "g0", "_1", "Me", "k1", "_r", "ql", "c4", "Gg", "p4", "m4", "f4", "g4", "Wg", "y0", "y4", "A1", "$1", "D1", "Qd", "b0", "R1", "b4", "Ug", "eh", "th", "F1", "Bs", "Hp", "w4", "O1", "P1", "L1", "O", "N0", "rh", "I4", "Ht", "C0", "I0", "v0", "S0", "C4", "M1", "v4", "T0", "Hg", "jl", "k", "S4", "N4", "k0", "_0", "E4", "k4", "T4", "E0", "eo", "Gr", "B1", "z1", "v", "Ya", "_4", "sn", "nh", "qg", "G1", "A4", "Kg", "F4", "$0", "V1", "W1", "U1", "qp", "D0", "jg", "R0", "Kp", "ki", "Xg", "$4", "D4", "R4", "Ie", "H1", "q1", "K1", "j1", "F0", "O0", "Vu", "Yl", "X1", "P0", "Ei", "Y1", "O4", "P4", "Yg", "Za", "jp", "Z1", "L4", "M4", "z4", "B4", "J1", "Q1", "V4", "G4", "_i", "tE", "W4", "Zg", "Xp", "Ar", "Jg", "eE", "rE", "nE", "oE", "sE", "L0", "U4", "M0", "z0", "H4", "q4", "K4", "X4", "Y4", "Z4", "J4", "Q4", "tH", "eH", "rH", "nH", "oH", "sH", "iH", "aH", "lH", "uH", "cH", "pH", "mH", "pE", "Wu", "G0", "sh", "fH", "V0", "cE", "Qp", "gH", "xH", "dH", "W0", "ih", "hH", "ro", "$r", "$i", "ve", "yH", "bH", "wH", "CH", "IH", "vH", "SH", "NH", "TH", "kH", "fE", "EH", "_H", "AH", "$H", "DH", "RH", "FH", "OH", "PH", "LH", "MH", "zH", "BH", "VH", "GH", "WH", "em", "UH", "HH", "qH", "bx", "KH", "jH", "XH", "YH", "ZH", "JH", "QH", "tq", "eq", "rq", "Ot", "gE", "xe", "nq", "oq", "sq", "iq", "aq", "lq", "uq", "cq", "U0", "yE", "H0", "bo", "pq", "q0", "lh", "mq", "fq", "dq", "hq", "gq", "xq", "yq", "bq", "bE", "wq", "Cq", "Iq", "vq", "Sq", "Nq", "Tq", "kq", "Eq", "_q", "Aq", "$q", "Dq", "Rq", "Fq", "Oq", "Pq", "Lq", "Mq", "zq", "Rx", "Uq", "Hq", "qq", "Kq", "jq", "Xq", "Yq", "Zq", "Jq", "Qq", "Px", "tK", "eK", "rK", "nK", "oK", "sK", "iK", "aK", "lK", "uK", "cK", "pK", "mK", "fK", "dK", "hK", "gK", "xK", "yK", "bK", "wK", "CK", "IK", "SK", "vK", "NK", "TK", "kK", "EK", "_K", "AK", "qx", "ZE", "WK", "QE", "GK", "MK", "BK", "JE", "zK", "VK", "UK", "Wx", "LK", "tS", "eS", "ju", "Ux", "Hx", "HK", "qK", "KK", "jK", "XK", "YK", "ZK", "JK", "QK", "tj", "ej", "rj", "nj", "oj", "sj", "ij", "aj", "lj", "uj", "cj", "pj", "mj", "fj", "dj", "hj", "gj", "xj", "yj", "bj", "wj", "Cj", "Ij", "vj", "Sj", "Nj", "Tj", "kj", "Ej", "_j", "Aj", "$j", "Dj", "ey", "Rj", "Fj", "Pj", "Lj", "m_", "ny", "rS", "zj", "f_", "Gj", "Uj", "d_", "qj", "Kj", "h_", "g_", "x_", "Xj", "Im", "Zu", "Ju", "Qu", "tc", "Yj", "Zj", "oy", "Jj", "sy", "Qj", "t6", "e6", "y_", "r6", "iy", "n6", "ay", "o6", "b_", "s6", "w_", "i6", "C_", "a6", "I_", "l6", "v_", "Co", "u6", "S_", "N_", "c6", "m6", "p6", "ly", "sS", "uy", "cy", "T_", "f6", "d6", "h6", "k_", "g6", "E_", "x6", "__", "y6", "A_", "b6", "$_", "w6", "py", "C6", "my", "I6", "v6", "D_", "S6", "R_", "N6", "F_", "T6", "O_", "k6", "P_", "L_", "E6", "Ur", "_6", "M_", "A6", "z_", "$6", "B_", "D6", "V_", "R6", "G_", "F6", "W_", "O6", "P6", "U_", "L6", "M6", "H_", "z6", "q_", "B6", "K_", "V6", "j_", "G6", "X_", "W6", "Y_", "U6", "Z_", "H6", "J_", "dh", "Wi", "aS", "Z6", "Q_", "eA", "oA", "sA", "fS", "dy", "fy", "rA", "pS", "iA", "aA", "J6", "Q6", "tX", "tA", "nl", "lS", "eX", "rX", "uS", "cS", "nX", "oX", "hh", "sX", "nA", "gh", "hy", "mS", "lA", "iX", "fX", "pX", "mX", "ac", "cA", "aX", "lX", "uX", "cX", "pA", "hX", "wX", "xX", "yX", "bX", "gX", "hS", "CX", "bA", "gA", "wA", "xA", "yA", "fA", "dS", "dX", "dA", "hA", "IX", "mA", "vX", "MX", "zX", "BX", "VX", "GX", "LX", "yy", "Ui", "xS", "gS", "SX", "jX", "t5", "TX", "HX", "qX", "AX", "NX", "JX", "YX", "XX", "C5", "w5", "KX", "e5", "QX", "$X", "RX", "EX", "DX", "FX", "kX", "OX", "PX", "s5", "i5", "a5", "c5", "m5", "p5", "l5", "u5", "g5", "f5", "d5", "h5", "r5", "WX", "o5", "bS", "UX", "_X", "yS", "ZX", "IA", "vA", "n5", "b5", "y5", "x5", "by", "SA", "NA", "TA", "kA", "EA", "_A", "AA", "$A", "DA", "RA", "FA", "I5", "OA", "PA", "v5", "LA", "MA", "zA", "BA", "VA", "GA", "WA", "UA", "HA", "qA", "KA", "jA", "S5", "XA", "YA", "ZA", "JA", "QA", "t2", "e2", "r2", "n2", "o2", "s2", "i2", "a2", "l2", "u2", "m2", "c2", "p2", "f2", "d2", "h2", "g2", "x2", "y2", "b2", "w2", "C2", "N5", "I2", "v2", "wy", "wS", "S2", "T5", "N2", "T2", "k5", "k2", "E2", "_2", "A2", "$2", "D2", "R2", "F2", "O2", "P2", "L2", "M2", "CS", "z2", "B2", "E5", "_5", "V2", "G2", "W2", "U2", "H2", "q2", "K2", "j2", "X2", "Y2", "Z2", "J2", "Q2", "t$", "e$", "r$", "n$", "o$", "s$", "i$", "IS", "vS", "a$", "l$", "u$", "c$", "p$", "m$", "f$", "d$", "h$", "g$", "x$", "y$", "A5", "b$", "$5", "Nn", "Kr", "z", "vt", "vm", "bh", "vo", "so", "NS", "Tr", "ye", "So", "ol", "Io", "Sm", "SS", "Hi", "D5", "wh", "No", "w$", "qi", "Cy", "Qe", "C$", "I$", "Iy", "R5", "Sy", "vy", "pu", "v$", "S$", "N$", "T$", "k$", "Nm", "Oe", "_$", "mn", "TS", "Ch", "E$", "Hs", "F5", "Ny", "A$", "Ty", "O5", "$$", "To", "uc", "qs", "fn", "kS", "ur", "dn", "tn", "il", "D$", "Ey", "R$", "F$", "sl", "ES", "Ih", "Tm", "AS", "km", "ko", "_S", "_y", "cc", "hn", "O$", "P$", "Ay", "L$", "mu", "M$", "z$", "P5", "L5", "gn", "Em", "fu", "_m", "Am", "$m", "Dm", "Rm", "M5", "jr", "pc", "mc", "fc", "dc", "hc", "gc", "Fm", "B$", "V$", "ke", "de", "$y", "Om", "St", "Bt", "Pm", "W$", "B5", "Sh", "Lm", "V5", "al", "G5", "kt", "W5", "U5", "$S", "Ks", "Dy", "H5", "Eo", "Ry", "Fy", "H$", "xc", "q5", "j5", "U$", "K5", "X5", "Y5", "Q5", "J5", "Z5", "DS", "yc", "Mm", "zm", "Bm", "Vm", "q$", "Be", "K$", "Ve", "r8", "u8", "l8", "c8", "p8", "i8", "m8", "f8", "e8", "d8", "o8", "n8", "s8", "a8", "t8", "pl", "$Y", "BY", "vZ", "VY", "qS", "KS", "jS", "YY", "JY", "tZ", "ZY", "QY", "eZ", "KY", "hZ", "EZ", "TZ", "GY", "IY", "vY", "SY", "NY", "TY", "pZ", "mZ", "EY", "DY", "AY", "qY", "RY", "gY", "zY", "OY", "IZ", "CZ", "rZ", "nZ", "xZ", "yZ", "SD", "ND", "sZ", "iZ", "hY", "jY", "yY", "aZ", "lZ", "SZ", "bZ", "wZ", "TD", "kD", "oZ", "WY", "UY", "HY", "MY", "bY", "xY", "PY", "NZ", "LY", "kZ", "fZ", "kY", "uZ", "cZ", "wY", "FY", "dZ", "CY", "gZ", "_Y", "XY", "Ki", "Oy", "Y$", "h8", "ll", "RS", "zy", "xn", "By", "yn", "Nh", "ji", "Gm", "du", "g8", "x8", "y8", "b8", "w8", "bc", "Wm", "C8", "Um", "I8", "v8", "kh", "Th", "Vy", "Eh", "_h", "J$", "S8", "N8", "FS", "Q$", "Wy", "Uy", "T8", "k8", "E8", "_8", "A8", "$8", "Ah", "D8", "OS", "Gy", "tD", "$h", "rD", "LS", "PS", "nD", "O8", "Hy", "P8", "L8", "F8", "oD", "wc", "qy", "Bn", "M8", "Ky", "jy", "sD", "z8", "lD", "iD", "B8", "uD", "aD", "V8", "G8", "cD", "Xy", "qm", "Yy", "Zy", "MS", "_o", "W8", "zS", "pD", "mD", "U8", "H8", "fD", "q8", "K8", "Jy", "dD", "j8", "X8", "rn", "Qy", "tb", "eb", "rb", "nb", "ob", "sb", "ib", "ab", "lb", "Km", "ub", "cb", "pb", "js", "VS", "Xs", "GS", "mb", "hu", "yD", "bD", "gD", "me", "xD", "we", "jm", "Xm", "Ym", "Zm", "Jm", "Qm", "gu", "Tn", "Ys", "Dh", "WS", "tY", "wD", "eY", "Cc", "xu", "ul", "cl", "tf", "ef", "fb", "rf", "yu", "nf", "of", "rY", "sf", "US", "HS", "Sc", "Ic", "fl", "af", "vc", "lf", "ml", "uf", "nY", "db", "Nc", "cf", "Tc", "pf", "mf", "ff", "df", "hf", "gf", "xf", "yf", "bf", "dl", "wf", "Cf", "If", "vf", "Sf", "Nf", "Rh", "oY", "Tf", "kf", "Ef", "_f", "Fh", "sY", "iY", "aY", "Af", "$f", "lY", "Df", "wb", "CD", "hb", "Rf", "Ff", "gb", "Of", "Pf", "xb", "Lf", "Mf", "yb", "zf", "Bf", "bb", "Vf", "Gf", "Cb", "Wf", "uY", "cY", "Uf", "Hf", "pY", "mY", "qf", "ID", "Kf", "dY", "vD", "jf", "zZ", "GZ", "_Z", "AZ", "DZ", "RZ", "PZ", "BZ", "LZ", "MZ", "VZ", "WZ", "FZ", "OZ", "$Z", "HZ", "UZ", "qZ", "Ib", "DD", "KZ", "XZ", "io", "RD", "XS", "Nb", "I", "Cr", "bn", "Tb", "FD", "Zs", "Oh", "Js", "YS", "QZ", "ZS", "t7", "JS", "e7", "QS", "r7", "tN", "n7", "eN", "o7", "rN", "s7", "nN", "i7", "oN", "a7", "sN", "l7", "iN", "u7", "aN", "c7", "lN", "p7", "uN", "m7", "cN", "f7", "pN", "d7", "mN", "h7", "fN", "g7", "dN", "x7", "Ph", "kb", "Fb", "_b", "Rb", "Eb", "Pb", "Db", "Ob", "Ab", "$b", "OD", "hN", "y7", "PD", "LD", "Lb", "se", "MD", "zD", "Gn", "BD", "Xf", "Mb", "zb", "hl", "VD", "GD", "WD", "UD", "HD", "qD", "KD", "jD", "gN", "XD", "YD", "ZD", "Bb", "JD", "QD", "tR", "eR", "rR", "nR", "oR", "sR", "iR", "aR", "lR", "uR", "xN", "Lh", "yN", "bN", "G7", "W7", "cR", "z7", "B7", "V7", "kc", "Vb", "U7", "H7", "j7", "Jf", "Qs", "nd", "Zf", "od", "CR", "TR", "kR", "ER", "AR", "BN", "_R", "IR", "wR", "xR", "mR", "Gb", "bu", "fR", "CN", "dR", "Wb", "hR", "X7", "gR", "Y7", "Yf", "Ec", "FN", "IN", "zh", "vN", "yR", "Hb", "bR", "gl", "DN", "tr", "AN", "EN", "_N", "Ub", "$N", "kN", "TN", "NN", "qb", "RN", "SN", "_c", "En", "Z7", "J7", "Kb", "Bh", "vR", "jb", "ON", "SR", "Qf", "td", "ed", "Vh", "PN", "LN", "Xb", "MN", "zN", "rd", "NR", "Q7", "Yb", "tt", "tJ", "wu", "mw", "WN", "ad", "Jb", "GN", "UN", "Ac", "HN", "KN", "XN", "YN", "Qb", "tw", "JN", "ZN", "tT", "QN", "ew", "eT", "rw", "rT", "nT", "Gh", "oT", "sT", "iT", "nw", "ow", "sw", "Dc", "aT", "xl", "iF", "VN", "Rc", "iw", "aw", "cd", "uF", "uT", "lw", "Fc", "Oc", "Pc", "pT", "uw", "cw", "ld", "pw", "eJ", "DR", "Qt", "Ir", "RR", "sd", "Xr", "FR", "Ao", "OR", "$o", "PR", "ie", "id", "rJ", "Yi", "LR", "wn", "Et", "Do", "nJ", "MR", "qN", "zR", "jN", "BR", "oJ", "VR", "sJ", "GR", "iJ", "WR", "aJ", "UR", "lJ", "HR", "uJ", "qR", "cJ", "KR", "pJ", "jR", "mJ", "XR", "fJ", "$c", "YR", "dJ", "ZR", "hJ", "JR", "Ge", "QR", "gJ", "tF", "xJ", "yJ", "bJ", "wJ", "eF", "CJ", "IJ", "rF", "Ro", "ud", "oF", "nF", "vJ", "sF", "lT", "aF", "Fo", "lF", "SJ", "cF", "NJ", "pF", "cT", "TJ", "kJ", "Wh", "mF", "Uh", "fF", "mT", "dF", "fT", "hF", "_J", "dT", "gF", "hT", "xF", "gT", "yF", "Lc", "Zt", "bF", "xT", "wF", "AJ", "CF", "$J", "IF", "DJ", "vF", "RJ", "SF", "FJ", "NF", "OJ", "TF", "PJ", "kF", "LJ", "EF", "MJ", "_F", "zJ", "AF", "BJ", "$F", "VJ", "GJ", "DF", "WJ", "RF", "pd", "fw", "dw", "FF", "UJ", "OF", "HJ", "PF", "qJ", "LF", "KJ", "MF", "jJ", "zF", "XJ", "BF", "YJ", "VF", "ZJ", "GF", "JJ", "WF", "QJ", "UF", "Zi", "HF", "Cu", "qF", "yT", "KF", "tQ", "jF", "eQ", "XF", "rQ", "YF", "nQ", "ZF", "oQ", "JF", "sQ", "QF", "iQ", "tO", "aQ", "eO", "lQ", "rO", "uQ", "nO", "cQ", "oO", "pQ", "sO", "bT", "iO", "mQ", "aO", "fQ", "lO", "dQ", "uO", "cO", "pO", "mO", "yl", "fO", "hQ", "dO", "gQ", "hO", "xQ", "yQ", "bQ", "wQ", "CQ", "IQ", "vQ", "gO", "md", "xO", "SQ", "Hh", "qh", "hw", "NQ", "TQ", "wT", "kQ", "EQ", "yO", "Kh", "_Q", "bO", "wO", "AQ", "$Q", "CO", "DQ", "IO", "RQ", "vO", "FQ", "SO", "OQ", "NO", "PQ", "TO", "LQ", "kO", "MQ", "EO", "zQ", "_O", "BQ", "AO", "VQ", "$O", "GQ", "WQ", "DO", "UQ", "RO", "HQ", "qQ", "FO", "KQ", "OO", "jQ", "PO", "CT", "LO", "XQ", "MO", "YQ", "zO", "ZQ", "BO", "JQ", "VO", "GO", "WO", "QQ", "UO", "t9", "HO", "e9", "qO", "r9", "n9", "KO", "XO", "IT", "jO", "o9", "YO", "s9", "i9", "ZO", "a9", "l9", "JO", "u9", "c9", "QO", "p9", "tP", "jh", "eP", "rP", "nP", "vT", "oP", "m9", "gw", "f9", "d9", "sP", "h9", "iP", "g9", "aP", "x9", "lP", "y9", "uP", "b9", "cP", "w9", "pP", "C9", "mP", "I9", "fP", "v9", "dP", "S9", "hP", "gP", "N9", "xP", "T9", "yP", "k9", "E9", "bP", "_9", "wP", "A9", "CP", "$9", "D9", "R9", "IP", "F9", "vP", "O9", "SP", "P9", "NP", "L9", "TP", "M9", "kP", "z9", "EP", "B9", "_P", "V9", "AP", "G9", "$P", "W9", "DP", "U9", "RP", "H9", "FP", "OP", "q9", "PP", "K9", "LP", "j9", "MP", "X9", "zP", "Y9", "BP", "Z9", "VP", "J9", "GP", "Q9", "WP", "ttt", "UP", "ett", "HP", "itt", "att", "qP", "rtt", "ntt", "stt", "ott", "Xh", "ltt", "KP", "utt", "jP", "ctt", "XP", "ptt", "ti", "wtt", "Qh", "zT", "QP", "Iw", "ht", "kT", "_T", "PT", "AT", "RT", "DT", "FT", "ET", "wl", "fd", "tL", "GT", "ytt", "MT", "LT", "Cl", "hd", "BT", "WT", "JP", "VT", "Un", "UT", "HT", "vu", "qT", "Sw", "$T", "Cw", "Ctt", "Itt", "vw", "btt", "dd", "Jh", "OT", "Mc", "xw", "Wn", "ftt", "mtt", "Iu", "Yr", "Lr", "zc", "YP", "Yh", "Ji", "ZP", "Zh", "dtt", "htt", "gtt", "bl", "xtt", "eL", "yw", "bw", "ww", "TT", "vtt", "Tt", "We", "ei", "Bc", "Stt", "rL", "xd", "yd", "Nw", "nL", "oL", "Tw", "Ntt", "Ett", "$tt", "Ttt", "Att", "ktt", "_tt", "Ott", "wd", "Ktt", "Xtt", "Ztt", "Qtt", "eet", "ret", "net", "sL", "qtt", "jtt", "Ytt", "Jtt", "tet", "oet", "set", "iL", "Ptt", "Utt", "Mtt", "Btt", "Ltt", "Htt", "ztt", "Vtt", "Gtt", "Wtt", "Dtt", "Rtt", "Ftt", "Vc", "Cd", "Id", "vd", "Vt", "lL", "KT", "aL", "uL", "cL", "Ce", "kw", "Ew", "_w", "Aw", "uet", "tg", "$w", "rk", "sk", "JT", "ek", "ZT", "YT", "tk", "QT", "XT", "jT", "ak", "ik", "uk", "lk", "Rw", "Pw", "Dw", "Ow", "Fw", "nk", "ok", "eg", "cet", "pL", "Lw", "mL", "fL", "dL", "hL", "gL", "xL", "yL", "bL", "wL", "CL", "IL", "vL", "SL", "NL", "TL", "kL", "EL", "_L", "AL", "$L", "DL", "RL", "FL", "OL", "PL", "LL", "ML", "zL", "BL", "VL", "Mw", "GL", "WL", "UL", "zw", "HL", "qL", "KL", "jL", "XL", "YL", "ZL", "JL", "Wc", "QL", "pk", "er", "tM", "Bw", "Sd", "pet", "Vw", "rM", "nM", "eM", "met", "fet", "det", "Mr", "xr", "oM", "mk", "sM", "iM", "aM", "Qi", "lM", "cM", "pM", "mM", "fM", "dM", "_n", "Gw", "get", "xet", "yet", "Ww", "bet", "wet", "Cet", "Iet", "vet", "Nd", "ao", "ta", "Oo", "rr", "xM", "An", "yM", "fk", "dk", "Net", "bM", "hk", "gk", "Tet", "wM", "Po", "wt", "ae", "Il", "Td", "xk", "rg", "CM", "ng", "IM", "vM", "it", "SM", "og", "Uw", "Eet", "Hn", "Hw", "_et", "qw", "Nu", "NM", "Uc", "TM", "Pe", "kM", "yk", "Hc", "Aet", "EM", "_M", "$et", "AM", "Det", "Ret", "$M", "Fet", "Oet", "DM", "RM", "Pet", "FM", "Kw", "jw", "Xw", "OM", "Let", "PM", "Met", "LM", "Yw", "Zw", "MM", "zM", "Jw", "zet", "BM", "Bet", "VM", "Vet", "Get", "GM", "Wet", "Uet", "WM", "Het", "qet", "UM", "Ket", "jet", "Xet", "HM", "Yet", "Zet", "qM", "ri", "Tu", "Jet", "KM", "Qet", "jM", "Qw", "tC", "trt", "XM", "ert", "YM", "rrt", "ZM", "eC", "rC", "nrt", "JM", "nC", "ort", "bk", "oC", "srt", "ni", "QM", "irt", "tz", "art", "ez", "lrt", "rz", "urt", "wk", "nz", "vl", "oz", "crt", "sz", "Ck", "iz", "az", "prt", "lz", "sC", "iC", "mrt", "uz", "aC", "cz", "frt", "pz", "lC", "cC", "uC", "qc", "mz", "kd", "drt", "Ik", "fz", "Ed", "pC", "_d", "mC", "fC", "dC", "hC", "hrt", "dz", "gC", "xC", "yC", "bC", "grt", "hz", "xrt", "gz", "yrt", "xz", "brt", "yz", "wrt", "bz", "Crt", "Irt", "wz", "vrt", "Srt", "Cz", "wC", "Nrt", "Iz", "Kc", "sg", "vz", "Sz", "CC", "Trt", "Nz", "krt", "Tz", "Ert", "kz", "IC", "_rt", "Ez", "Ad", "$d", "Art", "_z", "vC", "SC", "$rt", "Az", "Drt", "$z", "NC", "Rrt", "Dz", "TC", "Frt", "Rz", "Ort", "Fz", "Prt", "Lrt", "Mrt", "Oz", "zrt", "Brt", "Vrt", "Pz", "Grt", "Wrt", "Urt", "Lz", "Hrt", "qrt", "Mz", "Krt", "jrt", "vk", "zz", "kC", "Bz", "Vz", "Xrt", "Gz", "ig", "EC", "Yrt", "Wz", "_C", "Sl", "Uz", "AC", "Hz", "qz", "Zrt", "Kz", "Jrt", "Qrt", "tnt", "jz", "$C", "DC", "Xz", "ent", "Dd", "Sk", "rnt", "Yz", "nnt", "Zz", "RC", "ont", "Jz", "FC", "snt", "Nk", "Qz", "int", "ant", "lnt", "t3", "unt", "cnt", "pnt", "e3", "mnt", "r3", "fnt", "dnt", "n3", "hnt", "gnt", "o3", "xnt", "ynt", "s3", "bnt", "wnt", "Cnt", "i3", "Int", "vnt", "Snt", "a3", "Nnt", "l3", "Tnt", "knt", "Ent", "u3", "_nt", "Ant", "c3", "$nt", "Dnt", "Rnt", "p3", "Fnt", "Ont", "m3", "Pnt", "Lnt", "Mnt", "f3", "OC", "PC", "znt", "d3", "LC", "Bnt", "h3", "g3", "Tk", "x3", "Vnt", "Gnt", "Wnt", "y3", "Unt", "b3", "Hnt", "w3", "MC", "zC", "qnt", "C3", "Knt", "I3", "v3", "S3", "N3", "T3", "jnt", "k3", "Xnt", "Ynt", "Znt", "E3", "BC", "VC", "Jnt", "_3", "Qnt", "tot", "eot", "A3", "GC", "rot", "not", "kk", "$3", "D3", "Ek", "R3", "_k", "F3", "oot", "O3", "sot", "iot", "aot", "P3", "lot", "uot", "L3", "cot", "pot", "M3", "mot", "fot", "z3", "WC", "dot", "B3", "ag", "V3", "G3", "W3", "hot", "U3", "UC", "HC", "Ak", "H3", "got", "xot", "yot", "q3", "bot", "K3", "wot", "j3", "Cot", "X3", "Iot", "Y3", "$k", "Z3", "vot", "Sot", "J3", "Not", "Tot", "kot", "Q3", "Eot", "_ot", "Aot", "tB", "qC", "KC", "$ot", "eB", "jC", "Dot", "rB", "XC", "YC", "Rot", "nB", "ZC", "Fot", "oB", "JC", "QC", "Oot", "sB", "tI", "iB", "Pot", "Lot", "aB", "Mot", "zot", "lB", "Rd", "Bot", "uB", "eI", "Vot", "cB", "rI", "Got", "pB", "Wot", "Uot", "mB", "Hot", "qot", "Kot", "fB", "jot", "Xot", "dB", "Yot", "Zot", "hB", "Jot", "Qot", "gB", "tst", "est", "xB", "rst", "yB", "nst", "bB", "ost", "wB", "sst", "CB", "ist", "IB", "ast", "vB", "lst", "SB", "NB", "ust", "TB", "cst", "pst", "kB", "EB", "mst", "_B", "fst", "AB", "nI", "dst", "$B", "hst", "DB", "gst", "RB", "xst", "FB", "yst", "bst", "OB", "wst", "Cst", "PB", "oI", "Ist", "Dk", "LB", "sI", "iI", "jc", "MB", "vst", "zB", "aI", "Sst", "BB", "Nst", "VB", "Tst", "GB", "lI", "kst", "WB", "Est", "Kt", "ku", "UB", "_st", "Ast", "HB", "te", "qB", "le", "$st", "KB", "jB", "Dst", "Rst", "XB", "Xc", "YB", "ZB", "Fst", "lo", "Pst", "Ost", "JB", "Cn", "QB", "Lst", "Mst", "tV", "eV", "zst", "Bst", "rV", "nV", "Vst", "Gst", "oV", "sV", "Wst", "Ust", "iV", "cr", "aV", "lV", "Hst", "qst", "uV", "Lo", "Kst", "jst", "Xst", "cV", "Yst", "pV", "oi", "mV", "fV", "dV", "Zst", "Jst", "hV", "Rk", "gV", "xV", "Qst", "tit", "yV", "bV", "eit", "rit", "wV", "CV", "IV", "Fk", "vV", "nit", "oit", "SV", "NV", "sit", "iit", "TV", "kV", "ait", "lit", "EV", "_V", "uit", "cit", "AV", "$V", "pit", "mit", "DV", "RV", "fit", "FV", "OV", "uI", "PV", "Ok", "LV", "MV", "dit", "hit", "zV", "BV", "git", "VV", "GV", "xit", "yit", "WV", "UV", "bit", "wit", "HV", "qV", "Cit", "Iit", "KV", "jV", "vit", "Sit", "XV", "YV", "Nit", "Tit", "ZV", "kit", "JV", "Eit", "QV", "tG", "eG", "_it", "Ait", "rG", "$it", "nG", "Dit", "oG", "sG", "Rit", "iG", "aG", "Fit", "lG", "Oit", "uG", "cG", "Pit", "Lit", "pG", "Mit", "mG", "fG", "zit", "Bit", "dG", "hG", "Vit", "Git", "gG", "xG", "Wit", "Uit", "yG", "Hit", "bG", "Pk", "wG", "qit", "Kit", "CG", "jit", "IG", "vG", "Fd", "SG", "Xit", "Yit", "NG", "TG", "Zit", "Jit", "kG", "EG", "Qit", "tat", "_G", "eat", "AG", "$G", "rat", "nat", "DG", "oat", "RG", "sat", "FG", "OG", "iat", "aat", "cI", "lat", "PG", "LG", "uat", "cat", "MG", "zG", "pat", "mat", "BG", "fat", "VG", "dat", "GG", "WG", "UG", "HG", "qG", "hat", "gat", "KG", "jG", "xat", "yat", "XG", "YG", "bat", "wat", "ZG", "JG", "Cat", "Iat", "QG", "tW", "eW", "rW", "vat", "Sat", "nW", "oW", "Nat", "Tat", "sW", "iW", "kat", "Eat", "aW", "lW", "uW", "_at", "Aat", "cW", "$at", "pW", "mW", "Dat", "Rat", "fW", "dW", "Fat", "Oat", "hW", "gW", "pI", "mI", "Pat", "xW", "Lat", "yW", "Mat", "bW", "wW", "CW", "zat", "IW", "vW", "Bat", "Vat", "SW", "NW", "Gat", "Wat", "TW", "Uat", "kW", "Hat", "EW", "qat", "_W", "Kat", "AW", "$W", "jat", "Xat", "DW", "RW", "FW", "OW", "Yat", "Zat", "PW", "LW", "Jat", "Qat", "MW", "zW", "tlt", "elt", "BW", "rlt", "VW", "nlt", "GW", "olt", "Lk", "Uk", "JW", "Hk", "YW", "slt", "tU", "Wk", "alt", "ilt", "ZW", "hI", "ug", "QW", "lg", "qk", "cg", "llt", "dlt", "eU", "hlt", "glt", "xlt", "ylt", "draw_exports", "__export", "AnchorPosition", "DrawBox", "DrawBoxOptions", "DrawFaceLandmarks", "DrawFaceLandmarksOptions", "DrawTextField", "DrawTextFieldOptions", "drawContour", "drawDetections", "drawFaceExpressions", "drawFaceLandmarks", "drawContour", "ctx", "points", "isClosed", "x", "y", "prevIdx", "from", "to", "utils_exports", "__export", "computeReshapedDimensions", "getCenterPoint", "isDimensions", "isEven", "isFloat", "isTensor", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isValidNumber", "isValidProbablitiy", "range", "round", "Dimensions", "width", "height", "isValidNumber", "isTensor", "tensor", "dim", "Ft", "isTensor1D", "isTensor2D", "isTensor3D", "isTensor4D", "isFloat", "num", "isEven", "round", "prec", "f", "isDimensions", "obj", "computeReshapedDimensions", "width", "height", "inputSize", "scale", "Dimensions", "getCenterPoint", "pts", "sum", "pt", "Point", "range", "start", "step", "_", "i", "isValidNumber", "isValidProbablitiy", "Point", "x", "y", "pt", "Box", "rect", "isValidNumber", "box", "callee", "allowNegativeDimensions", "_box", "isBbox", "isRect", "x", "y", "width", "height", "Point", "val", "diff", "s", "scaleX", "isDimensions", "scaleY", "padX", "padY", "imgWidth", "imgHeight", "right", "bottom", "clippedX", "clippedY", "newWidth", "newHeight", "clippedWidth", "clippedHeight", "sx", "sy", "imageHeight", "imageWidth", "w", "h", "dx", "dy", "edx", "edy", "ex", "ey", "region", "BoundingBox", "Box", "left", "top", "right", "bottom", "allowNegativeDimensions", "ObjectDetection", "score", "classScore", "className", "relativeBox", "imageDims", "Dimensions", "Box", "width", "height", "FaceDetection", "ObjectDetection", "score", "relativeBox", "imageDims", "width", "height", "iou", "box1", "box2", "isIOU", "width", "height", "interSection", "minBbox", "pts", "xs", "pt", "ys", "minX", "min", "x", "minY", "y", "maxX", "max", "maxY", "BoundingBox", "nonMaxSuppression", "boxes", "scores", "iouThreshold", "isIOU", "indicesSortedByScore", "score", "boxIndex", "c1", "c2", "c", "pick", "curr", "indices", "outputs", "i", "idx", "currBox", "idxBox", "iou", "_", "j", "normalize", "x", "meanRgb", "B", "r", "g", "b", "avg_r", "yo", "avg_g", "avg_b", "avg_rgb", "oe", "lt", "padToSquare", "imgTensor", "isCenterImage", "B", "height", "width", "dimDiff", "paddingAmount", "paddingAxis", "createPaddingTensor", "paddingAmountLocal", "paddingTensorShape", "yo", "paddingTensorAppend", "remainingPaddingAmount", "tensorsToStack", "t", "J", "oe", "shuffleArray", "inputArray", "array", "i", "j", "x", "sigmoid", "x", "inverseSigmoid", "Rect", "Box", "x", "y", "width", "height", "allowNegativeDimensions", "relX", "relY", "relScale", "FaceLandmarks", "relativeFaceLandmarkPositions", "imgDims", "shift", "Point", "width", "height", "Dimensions", "pt", "x", "y", "detection", "options", "box", "FaceDetection", "Box", "useDlibAlignment", "minBoxPadding", "centers", "leftEyeCenter", "rightEyeCenter", "mouthCenter", "distToMouth", "eyeToMouthDist", "size", "refPoint", "getCenterPoint", "Rect", "padding", "minBbox", "FaceLandmarks5", "FaceLandmarks", "pts", "getCenterPoint", "FaceLandmarks68", "FaceLandmarks", "getCenterPoint", "FaceMatch", "label", "distance", "withDistance", "round", "LabeledBox", "Box", "box", "label", "callee", "isValidNumber", "LabeledFaceDescriptors", "label", "descriptors", "desc", "d", "json", "PredictedBox", "LabeledBox", "box", "label", "score", "classScore", "callee", "isValidProbablitiy", "isWithFaceDetection", "obj", "FaceDetection", "extendWithFaceDetection", "sourceObj", "detection", "createBrowserEnv", "fetch", "isNodejs", "createFileSystem", "fs", "requireFsError", "isNodejs", "err", "filePath", "resolve", "reject", "buffer", "createNodejsEnv", "Canvas", "Image", "Video", "createCanvasElement", "createImageElement", "createVideoElement", "fetch", "fileSystem", "createFileSystem", "isBrowser", "environment", "getEnv", "setEnv", "env", "initialize", "isBrowser", "createBrowserEnv", "isNodejs", "createNodejsEnv", "monkeyPatch", "Canvas", "Image", "createFileSystem", "resolveInput", "arg", "env", "getContext2dOrThrow", "canvasArg", "Canvas", "CanvasRenderingContext2D", "env", "canvas", "resolveInput", "ctx", "AnchorPosition", "DrawTextFieldOptions", "options", "anchorPosition", "backgroundColor", "fontColor", "fontSize", "fontStyle", "padding", "DrawTextField", "text", "anchor", "ctx", "l", "w0", "w1", "canvasDims", "isShiftLeft", "isShiftTop", "textFieldWidth", "textFieldHeight", "x", "y", "width", "height", "newX", "newY", "canvasArg", "canvas", "resolveInput", "getContext2dOrThrow", "maxTextWidth", "textHeight", "upperLeft", "textLine", "i", "DrawBoxOptions", "options", "boxColor", "lineWidth", "label", "drawLabelOptions", "defaultDrawLabelOptions", "DrawTextFieldOptions", "DrawBox", "box", "Box", "canvasArg", "ctx", "getContext2dOrThrow", "x", "y", "width", "height", "DrawTextField", "drawDetections", "canvasArg", "detections", "det", "score", "FaceDetection", "isWithFaceDetection", "box", "Box", "label", "round", "DrawBox", "isMediaLoaded", "media", "Image", "Video", "env", "awaitMediaLoaded", "media", "resolve", "reject", "env", "isMediaLoaded", "onError", "e", "onLoad", "bufferToImage", "buf", "resolve", "reject", "reader", "img", "env", "getMediaDimensions", "input", "Image", "Video", "env", "Dimensions", "createCanvas", "width", "height", "createCanvasElement", "env", "canvas", "createCanvasFromMedia", "media", "dims", "ImageData", "isMediaLoaded", "getMediaDimensions", "getContext2dOrThrow", "imageTensorToCanvas", "imgTensor", "canvas", "targetCanvas", "env", "height", "width", "numChannels", "isTensor4D", "imgTensor3D", "B", "gy", "isMediaElement", "input", "Image", "Canvas", "Video", "env", "imageToSquare", "input", "inputSize", "centerImage", "Image", "Canvas", "env", "createCanvas", "dims", "getMediaDimensions", "scale", "width", "height", "targetCanvas", "inputCanvas", "createCanvasFromMedia", "offset", "dx", "dy", "getContext2dOrThrow", "NetInput", "inputs", "treatAsBatchInput", "input", "idx", "isTensor3D", "isTensor4D", "batchSize", "canvas", "env", "createCanvasFromMedia", "range", "_", "batchIdx", "width", "height", "computeReshapedDimensions", "inputSize", "isCenterInputs", "B", "inputTensors", "Ft", "imgTensor", "ir", "padToSquare", "oo", "gy", "imageToSquare", "qe", "t", "J", "toNetInput", "inputs", "NetInput", "inputArgArray", "getIdxHint", "idx", "inputArray", "resolveInput", "input", "i", "isMediaElement", "isTensor3D", "isTensor4D", "batchSize", "awaitMediaLoaded", "extractFaces", "input", "detections", "Canvas", "env", "canvas", "netInput", "toNetInput", "tensorOrCanvas", "imageTensorToCanvas", "ctx", "getContext2dOrThrow", "det", "FaceDetection", "box", "x", "y", "width", "height", "faceImg", "createCanvas", "extractFaceTensors", "imageTensor", "detections", "isTensor3D", "isTensor4D", "B", "imgHeight", "imgWidth", "numChannels", "det", "FaceDetection", "box", "x", "y", "width", "height", "xm", "fetchOrThrow", "url", "init", "fetch", "env", "res", "fetchImage", "uri", "res", "fetchOrThrow", "blob", "bufferToImage", "fetchJson", "uri", "fetchOrThrow", "fetchNetWeights", "uri", "fetchOrThrow", "bufferToVideo", "buf", "resolve", "reject", "video", "env", "fetchVideo", "uri", "res", "fetchOrThrow", "blob", "bufferToVideo", "getModelUris", "uri", "defaultModelName", "defaultManifestFilename", "protocol", "parts", "s", "manifestFile", "modelBaseUri", "loadWeightMap", "uri", "defaultModelName", "manifestUri", "modelBaseUri", "getModelUris", "manifest", "fetchJson", "Pr", "matchDimensions", "input", "reference", "useMediaDimensions", "width", "height", "getMediaDimensions", "NeuralNetwork", "name", "paramPath", "obj", "objProp", "tensor", "param", "Xa", "path", "variable", "or", "throwOnRedispose", "flat", "arr", "weightsOrUrl", "uri", "weightMap", "loadWeightMap", "filePath", "readFile", "env", "manifestUri", "modelBaseUri", "getModelUris", "fetchWeightsFromDisk", "filePaths", "fp", "buf", "loadWeights", "Pr", "manifest", "paramMappings", "params", "weights", "result", "res", "Ft", "depthwiseSeparableConv", "x", "params", "stride", "B", "out", "fm", "Y", "denseBlock3", "x", "denseBlockParams", "isFirstLayer", "B", "out1", "Or", "Y", "vn", "depthwiseSeparableConv", "out2", "in3", "out3", "denseBlock4", "isScaleDown", "in4", "out4", "convLayer", "x", "params", "padding", "withRelu", "B", "out", "Y", "vn", "Or", "disposeUnusedWeightTensors", "weightMap", "paramMappings", "path", "pm", "extractConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "filterSize", "mappedPrefix", "filters", "l_", "bias", "Ke", "extractFCParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "fc_weights", "Ws", "fc_bias", "Ke", "SeparableConvParams", "depthwise_filter", "pointwise_filter", "bias", "extractSeparableConvParamsFactory", "extractWeights", "paramMappings", "channelsIn", "channelsOut", "mappedPrefix", "depthwise_filter", "l_", "pointwise_filter", "bias", "Ke", "SeparableConvParams", "loadSeparableConvParamsFactory", "extractWeightEntry", "prefix", "extractWeightEntryFactory", "weightMap", "paramMappings", "originalPath", "paramRank", "mappedPath", "tensor", "isTensor", "extractWeightsFactory", "weights", "remainingWeights", "extractWeights", "numWeights", "ret", "getRemainingWeights", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractDenseBlock3Params", "channelsIn", "channelsOut", "mappedPrefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock4Params", "extractorsFactory", "dense0", "dense1", "dense2", "dense3", "loadConvParamsFactory", "extractWeightEntry", "prefix", "filters", "bias", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractDenseBlock3Params", "prefix", "isFirstLayer", "conv0", "conv1", "conv2", "extractDenseBlock4Params", "conv3", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractDenseBlock4Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "FaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock4", "Zl", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "fullyConnectedLayer", "x", "params", "B", "Y", "Mt", "extractParams", "weights", "channelsIn", "channelsOut", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "fc", "extractFCParamsFactory", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "seperateWeightMaps", "weightMap", "featureExtractorMap", "classifierMap", "key", "map", "FaceProcessor", "NeuralNetwork", "_name", "faceFeatureExtractor", "input", "params", "B", "bottleneckFeatures", "NetInput", "fullyConnectedLayer", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "cIn", "cOut", "classifierWeightSize", "featureExtractorWeights", "classifierWeights", "FACE_EXPRESSION_LABELS", "FaceExpressions", "probabilities", "expression", "idx", "e0", "e1", "FaceExpressionNet", "FaceProcessor", "faceFeatureExtractor", "FaceFeatureExtractor", "input", "B", "au", "toNetInput", "netInput", "out", "probabilitesByBatch", "gr", "t", "data", "predictionsByBatch", "probabilites", "FaceExpressions", "isWithFaceExpressions", "obj", "FaceExpressions", "extendWithFaceExpressions", "sourceObj", "expressions", "drawFaceExpressions", "canvasArg", "faceExpressions", "minConfidence", "textFieldAnchor", "e", "expr", "FaceExpressions", "isWithFaceExpressions", "resultsToDisplay", "exprLocal", "anchor", "isWithFaceDetection", "Point", "DrawTextField", "round", "isWithFaceLandmarks", "obj", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "calculateFaceAngle", "mesh", "degrees", "radians", "calcLengthBetweenTwoPoints", "a", "b", "angle", "calcYaw", "leftPoint", "midPoint", "rightPoint", "leftToMidpoint", "rightToMidpoint", "calcRoll", "lever", "pivot", "hypotenuse", "opposite", "angleInRadians", "angleInDegrees", "normalizeAngle", "tiltDirection", "calcPitch", "base", "baseCoords", "midToBaseLength", "direction", "pt", "extendWithFaceLandmarks", "sourceObj", "unshiftedLandmarks", "shift", "landmarks", "rect", "imageDims", "alignedRect", "DrawFaceLandmarksOptions", "options", "drawLines", "drawPoints", "lineWidth", "lineColor", "pointSize", "pointColor", "DrawFaceLandmarks", "faceLandmarks", "canvasArg", "ctx", "getContext2dOrThrow", "FaceLandmarks68", "drawContour", "drawPoint", "pt", "drawFaceLandmarks", "f", "landmarks", "FaceLandmarks", "isWithFaceLandmarks", "version", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractReductionBlockParams", "channelsIn", "channelsOut", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "channels", "separable_conv2", "extractParams", "weights", "numMainBlocks", "getRemainingWeights", "extractWeightsFactory", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "loadParamsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractConvParams", "loadConvParamsFactory", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractReductionBlockParams", "mappedPrefix", "separable_conv0", "separable_conv1", "expansion_conv", "extractMainBlockParams", "separable_conv2", "extractParamsFromWeightMap", "numMainBlocks", "entry_flow_conv_in", "entry_flow_reduction_block_0", "entry_flow_reduction_block_1", "entry_flow", "middle_flow", "range", "idx", "exit_flow_reduction_block", "exit_flow_separable_conv", "exit_flow", "disposeUnusedWeightTensors", "conv", "x", "params", "stride", "Y", "vn", "reductionBlock", "isActivateInput", "out", "Or", "depthwiseSeparableConv", "ou", "mainBlock", "TinyXception", "NeuralNetwork", "numMainBlocks", "input", "B", "batchTensor", "J", "normalized", "normalize", "range", "idx", "toNetInput", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "extractParams", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractFCParams", "extractFCParamsFactory", "age", "gender", "extractParamsFromWeightMap", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractFcParams", "prefix", "weights", "bias", "params", "disposeUnusedWeightTensors", "Gender", "AgeGenderNet", "NeuralNetwork", "faceFeatureExtractor", "TinyXception", "input", "params", "B", "bottleneckFeatures", "NetInput", "pooled", "Zl", "age", "fullyConnectedLayer", "gender", "au", "toNetInput", "netInput", "out", "ages", "gr", "genders", "ageAndGenderTensors", "ageTensor", "i", "predictionsByBatch", "genderTensor", "probMale", "isMale", "genderProbability", "throwOnRedispose", "weights", "paramMappings", "extractParams", "weightMap", "featureExtractorMap", "classifierMap", "seperateWeightMaps", "extractParamsFromWeightMap", "featureExtractorWeights", "classifierWeights", "FaceLandmark68NetBase", "FaceProcessor", "output", "inputSize", "originalDimensions", "inputDimensions", "width", "height", "scale", "batchSize", "B", "createInterleavedTensor", "fillX", "fillY", "qe", "yo", "getPadding", "batchIdx", "cond", "getPaddingX", "w", "getPaddingY", "_", "input", "out", "toNetInput", "netInput", "landmarkTensors", "gr", "landmarksForBatch", "landmarkTensor", "landmarksArray", "xCoords", "i", "isEven", "yCoords", "FaceLandmarks68", "Point", "t", "FaceLandmark68Net", "FaceLandmark68NetBase", "faceFeatureExtractor", "FaceFeatureExtractor", "extractParamsFromWeightMapTiny", "weightMap", "paramMappings", "extractDenseBlock3Params", "loadParamsFactory", "params", "disposeUnusedWeightTensors", "extractParamsTiny", "weights", "paramMappings", "extractWeights", "getRemainingWeights", "extractWeightsFactory", "extractDenseBlock3Params", "extractorsFactory", "dense0", "dense1", "dense2", "TinyFaceFeatureExtractor", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "denseBlock3", "Zl", "toNetInput", "weightMap", "extractParamsFromWeightMapTiny", "weights", "extractParamsTiny", "FaceLandmark68TinyNet", "FaceLandmark68NetBase", "faceFeatureExtractor", "TinyFaceFeatureExtractor", "FaceLandmarkNet", "FaceLandmark68Net", "scale", "x", "params", "Y", "D", "convLayer", "x", "params", "strides", "withRelu", "padding", "filters", "bias", "out", "vn", "Y", "scale", "Or", "conv", "convNoRelu", "convDown", "extractorsFactory", "extractWeights", "paramMappings", "extractFilterValues", "numFilterValues", "numFilters", "filterSize", "weights", "depth", "isFloat", "B", "Pt", "l_", "extractConvParams", "mappedPrefix", "filters", "bias", "Ke", "extractScaleLayerParams", "numWeights", "biases", "extractConvLayerParams", "conv", "scale", "extractResidualLayerParams", "isDown", "conv1", "conv2", "extractParams", "getRemainingWeights", "extractWeightsFactory", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "Ws", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractScaleLayerParams", "prefix", "weights", "biases", "extractConvLayerParams", "filters", "bias", "scale", "extractResidualLayerParams", "extractParamsFromWeightMap", "conv32_down", "conv32_1", "conv32_2", "conv32_3", "conv64_down", "conv64_1", "conv64_2", "conv64_3", "conv128_down", "conv128_1", "conv128_2", "conv256_down", "conv256_1", "conv256_2", "conv256_down_out", "fc", "isTensor2D", "params", "disposeUnusedWeightTensors", "residual", "x", "params", "out", "conv", "convNoRelu", "Y", "Or", "residualDown", "convDown", "pooled", "Zl", "zeros", "Te", "isPad", "padShapeX", "zerosW", "oe", "padShapeY", "zerosH", "FaceRecognitionNet", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "normalized", "normalize", "out", "convDown", "ou", "residual", "residualDown", "globalAvg", "Mt", "toNetInput", "_a", "dim", "netInput", "faceDescriptorTensors", "gr", "faceDescriptorsForBatch", "t", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createFaceRecognitionNet", "weights", "net", "FaceRecognitionNet", "extendWithFaceDescriptor", "sourceObj", "descriptor", "isWithAge", "obj", "extendWithAge", "sourceObj", "age", "isWithGender", "obj", "isValidProbablitiy", "extendWithGender", "sourceObj", "gender", "genderProbability", "extractorsFactory", "extractWeights", "paramMappings", "extractDepthwiseConvParams", "numChannels", "mappedPrefix", "filters", "l_", "batch_norm_scale", "Ke", "batch_norm_offset", "batch_norm_mean", "batch_norm_variance", "extractConvParams", "channelsIn", "channelsOut", "filterSize", "isPointwiseConv", "bias", "extractPointwiseConvParams", "extractConvPairParams", "depthwise_conv", "pointwise_conv", "extractMobilenetV1Params", "conv_0", "conv_1", "conv_2", "conv_3", "conv_4", "conv_5", "conv_6", "conv_7", "conv_8", "conv_9", "conv_10", "conv_11", "conv_12", "conv_13", "extractPredictionLayerParams", "box_encoding_0_predictor", "class_predictor_0", "box_encoding_1_predictor", "class_predictor_1", "box_encoding_2_predictor", "class_predictor_2", "box_encoding_3_predictor", "class_predictor_3", "box_encoding_4_predictor", "class_predictor_4", "box_encoding_5_predictor", "class_predictor_5", "extractParams", "weights", "getRemainingWeights", "extractWeightsFactory", "mobilenetv1", "prediction_layer", "output_layer", "Zx", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractPointwiseConvParams", "prefix", "idx", "mappedPrefix", "filters", "batch_norm_offset", "extractConvPairParams", "prefixDepthwiseConv", "mappedPrefixDepthwiseConv", "mappedPrefixPointwiseConv", "batch_norm_scale", "batch_norm_mean", "batch_norm_variance", "extractMobilenetV1Params", "extractConvParams", "bias", "extractBoxPredictorParams", "box_encoding_predictor", "class_predictor", "extractPredictionLayerParams", "extractParamsFromWeightMap", "extra_dim", "isTensor3D", "params", "disposeUnusedWeightTensors", "pointwiseConvLayer", "x", "params", "strides", "B", "out", "vn", "Y", "vr", "epsilon", "depthwiseConvLayer", "x", "params", "strides", "B", "out", "Oi", "Ri", "vr", "getStridesForLayerIdx", "layerIdx", "idx", "mobileNetV1", "conv11", "pointwiseConvLayer", "param", "depthwiseConvStrides", "IOU", "boxes", "i", "j", "boxesData", "yminI", "xminI", "ymaxI", "xmaxI", "yminJ", "xminJ", "ymaxJ", "xmaxJ", "areaI", "areaJ", "intersectionYmin", "intersectionXmin", "intersectionYmax", "intersectionXmax", "intersectionArea", "nonMaxSuppression", "scores", "maxOutputSize", "iouThreshold", "scoreThreshold", "numBoxes", "outputSize", "candidates", "score", "boxIndex", "c", "c1", "c2", "suppressFunc", "x", "selected", "originalScore", "iou", "getCenterCoordinatesAndSizesLayer", "x", "vec", "gr", "Pt", "sizes", "lt", "centers", "Y", "ut", "decodeBoxesLayer", "x0", "x1", "div0_out", "D", "sr", "add0_out", "div1_out", "add1_out", "qe", "outputLayer", "boxPredictions", "classPredictions", "params", "B", "batchSize", "boxes", "R", "Rr", "scoresAndClasses", "Qr", "Rt", "scores", "boxesByBatch", "scoresByBatch", "boxPredictionLayer", "x", "params", "B", "batchSize", "boxPredictionEncoding", "R", "convLayer", "classPrediction", "predictionLayer", "x", "conv11", "params", "B", "conv0", "pointwiseConvLayer", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "boxPrediction0", "boxPredictionLayer", "boxPrediction1", "boxPrediction2", "boxPrediction3", "boxPrediction4", "boxPrediction5", "boxPredictions", "oe", "classPredictions", "SsdMobilenetv1Options", "minConfidence", "maxResults", "SsdMobilenetv1", "NeuralNetwork", "input", "params", "B", "batchTensor", "J", "x", "lt", "ut", "features", "mobileNetV1", "boxPredictions", "classPredictions", "predictionLayer", "outputLayer", "toNetInput", "options", "maxResults", "minConfidence", "SsdMobilenetv1Options", "netInput", "_boxes", "_scores", "boxes", "scores", "i", "scoresData", "indices", "nonMaxSuppression", "reshapedDims", "inputSize", "padX", "padY", "boxesData", "results", "idx", "top", "bottom", "val", "left", "right", "FaceDetection", "Rect", "weightMap", "extractParamsFromWeightMap", "weights", "extractParams", "createSsdMobilenetv1", "weights", "net", "SsdMobilenetv1", "createFaceDetectionNet", "FaceDetectionNet", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "DEFAULT_MODEL_NAME", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "isNumber", "arg", "validateConfig", "config", "c", "a", "leaky", "x", "B", "min", "D", "pt", "Y", "Or", "lt", "convWithBatchNorm", "x", "params", "B", "out", "pn", "vn", "lt", "D", "Y", "leaky", "depthwiseSeparableConv", "x", "params", "B", "out", "pn", "fm", "Y", "leaky", "extractorsFactory", "extractWeights", "paramMappings", "extractConvParams", "extractConvParamsFactory", "extractBatchNormParams", "size", "mappedPrefix", "sub", "Ke", "truediv", "extractConvWithBatchNormParams", "channelsIn", "channelsOut", "conv", "bn", "extractSeparableConvParams", "extractSeparableConvParamsFactory", "extractParams", "weights", "config", "boxEncodingSize", "filterSizes", "getRemainingWeights", "extractWeightsFactory", "params", "s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "conv0", "conv1", "conv2", "conv3", "conv4", "conv5", "conv6", "conv7", "conv8", "extractorsFactory", "weightMap", "paramMappings", "extractWeightEntry", "extractWeightEntryFactory", "extractBatchNormParams", "prefix", "sub", "truediv", "extractConvParams", "filters", "bias", "extractConvWithBatchNormParams", "conv", "bn", "extractSeparableConvParams", "loadSeparableConvParamsFactory", "extractParamsFromWeightMap", "config", "params", "numFilters", "disposeUnusedWeightTensors", "TinyYolov2Options", "inputSize", "scoreThreshold", "_TinyYolov2Base", "NeuralNetwork", "config", "validateConfig", "x", "params", "out", "convWithBatchNorm", "ou", "convLayer", "leaky", "depthwiseSeparableConv", "input", "inputSize", "B", "batchTensor", "J", "normalize", "toNetInput", "forwardParams", "scoreThreshold", "TinyYolov2Options", "netInput", "out0", "gr", "inputDimensions", "results", "boxes", "res", "scores", "classScores", "classNames", "nonMaxSuppression", "box", "idx", "ObjectDetection", "weightMap", "extractParamsFromWeightMap", "weights", "filterSizes", "numFilters", "extractParams", "outputTensor", "inputBlobDimensions", "width", "height", "correctionFactorX", "correctionFactorY", "numCells", "numBoxes", "boxesTensor", "scoresTensor", "classScoresTensor", "reshaped", "au", "pt", "scoresData", "boxesData", "row", "col", "anchor", "score", "sigmoid", "ctX", "ctY", "widthLocal", "heightLocal", "y", "pos", "classScore", "label", "BoundingBox", "classesTensor", "classesData", "_", "i", "max", "curr", "TinyYolov2Base", "TinyYolov2", "TinyYolov2Base", "withSeparableConvs", "config", "IOU_THRESHOLD", "BOX_ANCHORS_SEPARABLE", "MEAN_RGB_SEPARABLE", "BOX_ANCHORS", "input", "forwardParams", "det", "FaceDetection", "DEFAULT_MODEL_NAME_SEPARABLE_CONV", "DEFAULT_MODEL_NAME", "weightMap", "createTinyYolov2", "weights", "withSeparableConvs", "net", "TinyYolov2", "TinyFaceDetectorOptions", "TinyYolov2Options", "ComposableTask", "onfulfilled", "extractAllFacesAndComputeResults", "parentResults", "input", "computeResults", "extractedFaces", "getRectForAlignment", "alignedRect", "faceBoxes", "parentResult", "isWithFaceLandmarks", "faces", "Ft", "extractFaceTensors", "extractFaces", "results", "f", "extractSingleFaceAndComputeResult", "computeResult", "IOU_THRESHOLD", "BOX_ANCHORS", "Point", "MEAN_RGB", "TinyFaceDetector", "TinyYolov2Base", "config", "IOU_THRESHOLD", "BOX_ANCHORS", "MEAN_RGB", "input", "forwardParams", "det", "FaceDetection", "weightMap", "nets", "SsdMobilenetv1", "TinyFaceDetector", "TinyYolov2", "FaceLandmark68Net", "FaceLandmark68TinyNet", "FaceRecognitionNet", "FaceExpressionNet", "AgeGenderNet", "ssdMobilenetv1", "input", "options", "tinyFaceDetector", "tinyYolov2", "detectFaceLandmarks", "detectFaceLandmarksTiny", "computeFaceDescriptor", "recognizeFaceExpressions", "predictAgeAndGender", "loadSsdMobilenetv1Model", "url", "loadTinyFaceDetectorModel", "loadTinyYolov2Model", "loadFaceLandmarkModel", "loadFaceLandmarkTinyModel", "loadFaceRecognitionModel", "loadFaceExpressionModel", "loadAgeGenderModel", "loadFaceDetectionModel", "locateFaces", "detectLandmarks", "PredictFaceExpressionsTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllFaceExpressionsTask", "parentResults", "faceExpressionsByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "extendWithFaceExpressions", "PredictAllAgeAndGenderTask", "PredictSingleFaceExpressionsTask", "faceExpressions", "extractSingleFaceAndComputeResult", "PredictSingleAgeAndGenderTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "PredictAgeAndGenderTaskBase", "ComposableTask", "parentTask", "input", "extractedFaces", "PredictAllAgeAndGenderTask", "parentResults", "ageAndGenderByFace", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "i", "age", "gender", "genderProbability", "extendWithAge", "extendWithGender", "PredictAllFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "PredictAllFaceExpressionsWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "ComputeFaceDescriptorsTaskBase", "ComposableTask", "parentTask", "input", "ComputeAllFaceDescriptorsTask", "parentResults", "extractAllFacesAndComputeResults", "faces", "face", "nets", "parentResult", "descriptor", "i", "extendWithFaceDescriptor", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "extractSingleFaceAndComputeResult", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "DetectFaceLandmarksTaskBase", "ComposableTask", "parentTask", "input", "useTinyLandmarkNet", "nets", "DetectAllFaceLandmarksTask", "parentResults", "detections", "res", "faces", "Ft", "extractFaceTensors", "extractFaces", "faceLandmarksByFace", "face", "f", "_parentResult", "i", "parentResult", "extendWithFaceLandmarks", "PredictAllFaceExpressionsWithFaceAlignmentTask", "PredictAllAgeAndGenderWithFaceAlignmentTask", "ComputeAllFaceDescriptorsTask", "DetectSingleFaceLandmarksTask", "detection", "landmarks", "PredictSingleFaceExpressionsWithFaceAlignmentTask", "PredictSingleAgeAndGenderWithFaceAlignmentTask", "ComputeSingleFaceDescriptorTask", "DetectFacesTaskBase", "ComposableTask", "input", "options", "SsdMobilenetv1Options", "DetectAllFacesTask", "result", "TinyFaceDetectorOptions", "nets", "TinyYolov2Options", "resolve", "reject", "detections", "detection", "extendWithFaceDetection", "err", "useTinyLandmarkNet", "DetectAllFaceLandmarksTask", "PredictAllFaceExpressionsTask", "PredictAllAgeAndGenderTask", "DetectSingleFaceTask", "faceDetections", "faceDetectionWithHighestScore", "faceDetection", "DetectSingleFaceLandmarksTask", "PredictSingleFaceExpressionsTask", "PredictSingleAgeAndGenderTask", "detectSingleFace", "input", "options", "SsdMobilenetv1Options", "DetectSingleFaceTask", "detectAllFaces", "DetectAllFacesTask", "allFacesSsdMobilenetv1", "input", "minConfidence", "detectAllFaces", "SsdMobilenetv1Options", "allFacesTinyYolov2", "forwardParams", "TinyYolov2Options", "allFaces", "euclideanDistance", "arr1", "arr2", "desc1", "desc2", "val", "i", "res", "diff", "FaceMatcher", "inputs", "distanceThreshold", "inputArray", "count", "createUniqueLabel", "desc", "LabeledFaceDescriptors", "queryDescriptor", "descriptors", "d", "euclideanDistance", "d1", "d2", "label", "FaceMatch", "best", "curr", "bestMatch", "ld", "json", "labeledDescriptors", "createTinyFaceDetector", "weights", "net", "TinyFaceDetector", "resizeResults", "results", "dimensions", "width", "height", "Dimensions", "obj", "isWithFaceLandmarks", "resizedDetection", "resizedLandmarks", "extendWithFaceLandmarks", "extendWithFaceDetection", "isWithFaceDetection", "FaceLandmarks", "FaceDetection", "version"] } diff --git a/dist/face-api.js b/dist/face-api.js index d18d734..704fca1 100644 --- a/dist/face-api.js +++ b/dist/face-api.js @@ -4,14 +4,14 @@ author: ' */ -"use strict";var faceapi=(()=>{var ub=Object.defineProperty;var uF=Object.getOwnPropertyDescriptor;var pF=Object.getOwnPropertyNames;var cF=Object.prototype.hasOwnProperty;var dF=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var rh=(e,t)=>{for(var n in t)ub(e,n,{get:t[n],enumerable:!0})},hF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of pF(t))!cF.call(e,r)&&r!==n&&ub(e,r,{get:()=>t[r],enumerable:!(a=uF(t,r))||a.enumerable});return e};var mF=e=>hF(ub({},"__esModule",{value:!0}),e);var Hce={};rh(Hce,{AgeGenderNet:()=>xd,BoundingBox:()=>$o,Box:()=>st,ComposableTask:()=>Ia,ComputeAllFaceDescriptorsTask:()=>qr,ComputeFaceDescriptorsTaskBase:()=>Id,ComputeSingleFaceDescriptorTask:()=>jr,DetectAllFaceLandmarksTask:()=>Td,DetectAllFacesTask:()=>yp,DetectFaceLandmarksTaskBase:()=>Sd,DetectFacesTaskBase:()=>Cd,DetectSingleFaceLandmarksTask:()=>Nd,DetectSingleFaceTask:()=>_d,Dimensions:()=>xn,FACE_EXPRESSION_LABELS:()=>M1,FaceDetection:()=>yt,FaceDetectionNet:()=>V1,FaceExpressionNet:()=>bd,FaceExpressions:()=>Ur,FaceLandmark68Net:()=>Wo,FaceLandmark68TinyNet:()=>vd,FaceLandmarkNet:()=>z1,FaceLandmarks:()=>ra,FaceLandmarks5:()=>w1,FaceLandmarks68:()=>Ro,FaceMatch:()=>ap,FaceMatcher:()=>Ed,FaceRecognitionNet:()=>Bo,Gender:()=>cg,LabeledBox:()=>rp,LabeledFaceDescriptors:()=>br,NetInput:()=>vr,NeuralNetwork:()=>on,ObjectDetection:()=>Wr,Point:()=>De,PredictedBox:()=>k1,Rect:()=>Fo,SsdMobilenetv1:()=>Rs,SsdMobilenetv1Options:()=>ka,TinyFaceDetector:()=>qo,TinyFaceDetectorOptions:()=>kd,TinyYolov2:()=>Go,TinyYolov2Options:()=>er,allFaces:()=>Vce,allFacesSsdMobilenetv1:()=>_$,allFacesTinyYolov2:()=>Bce,awaitMediaLoaded:()=>E1,bufferToImage:()=>A1,computeFaceDescriptor:()=>Cce,createCanvas:()=>Oo,createCanvasFromMedia:()=>md,createFaceDetectionNet:()=>vce,createFaceRecognitionNet:()=>uce,createSsdMobilenetv1:()=>h$,createTinyFaceDetector:()=>Uce,createTinyYolov2:()=>Ice,detectAllFaces:()=>vg,detectFaceLandmarks:()=>N$,detectFaceLandmarksTiny:()=>Nce,detectLandmarks:()=>zce,detectSingleFace:()=>Wce,draw:()=>O1,env:()=>Qe,euclideanDistance:()=>H1,extendWithAge:()=>fg,extendWithFaceDescriptor:()=>mg,extendWithFaceDetection:()=>Do,extendWithFaceExpressions:()=>og,extendWithFaceLandmarks:()=>hp,extendWithGender:()=>gg,extractFaceTensors:()=>op,extractFaces:()=>ip,fetchImage:()=>Xpe,fetchJson:()=>R1,fetchNetWeights:()=>Ype,fetchOrThrow:()=>Vr,fetchVideo:()=>Zpe,getContext2dOrThrow:()=>Gn,getMediaDimensions:()=>Po,imageTensorToCanvas:()=>$1,imageToSquare:()=>F1,inverseSigmoid:()=>Vpe,iou:()=>y1,isMediaElement:()=>Qf,isMediaLoaded:()=>hd,isWithAge:()=>pce,isWithFaceDetection:()=>xr,isWithFaceExpressions:()=>P1,isWithFaceLandmarks:()=>zo,isWithGender:()=>cce,loadAgeGenderModel:()=>Pce,loadFaceDetectionModel:()=>Oce,loadFaceExpressionModel:()=>Mce,loadFaceLandmarkModel:()=>Fce,loadFaceLandmarkTinyModel:()=>Rce,loadFaceRecognitionModel:()=>Dce,loadSsdMobilenetv1Model:()=>C$,loadTinyFaceDetectorModel:()=>Ace,loadTinyYolov2Model:()=>$ce,loadWeightMap:()=>D1,locateFaces:()=>Lce,matchDimensions:()=>Jpe,minBbox:()=>b1,nets:()=>et,nonMaxSuppression:()=>x1,normalize:()=>Ja,padToSquare:()=>v1,predictAgeAndGender:()=>Ece,recognizeFaceExpressions:()=>_ce,resizeResults:()=>E$,resolveInput:()=>Mo,shuffleArray:()=>Bpe,sigmoid:()=>pd,ssdMobilenetv1:()=>T$,tf:()=>Le,tinyFaceDetector:()=>Sce,tinyYolov2:()=>Tce,toNetInput:()=>bt,utils:()=>g1,validateConfig:()=>U1,version:()=>Gce});var Le={};rh(Le,{Abs:()=>Rl,Acos:()=>Dl,Acosh:()=>Ml,AdadeltaOptimizer:()=>Hv,AdagradOptimizer:()=>qv,AdamOptimizer:()=>jv,AdamaxOptimizer:()=>Kv,Add:()=>vs,AddN:()=>bi,All:()=>Pl,Any:()=>Ol,ArgMax:()=>xi,ArgMin:()=>pc,Asin:()=>Ll,Asinh:()=>zl,Atan:()=>Wl,Atan2:()=>Vl,Atanh:()=>Bl,AvgPool:()=>vi,AvgPool3D:()=>cc,AvgPool3DGrad:()=>cm,AvgPoolGrad:()=>pm,BackendWasm:()=>VA,BatchMatMul:()=>wi,BatchToSpaceND:()=>Ul,Bincount:()=>dm,BroadcastArgs:()=>hm,BroadcastTo:()=>JI,Callback:()=>b2,CallbackList:()=>kN,Cast:()=>ki,Ceil:()=>Ii,ClipByValue:()=>ws,Complex:()=>mm,ComplexAbs:()=>dc,Concat:()=>Gl,Conv2D:()=>Si,Conv2DBackpropFilter:()=>fm,Conv2DBackpropInput:()=>Ti,Conv3D:()=>hc,Conv3DBackpropFilterV2:()=>gm,Conv3DBackpropInputV2:()=>ym,Cos:()=>Ni,Cosh:()=>Ci,CropAndResize:()=>ql,Cumprod:()=>Hl,Cumsum:()=>_i,CustomCallback:()=>SN,DataStorage:()=>im,DenseBincount:()=>bm,DepthToSpace:()=>jl,DepthwiseConv2dNative:()=>Ei,DepthwiseConv2dNativeBackpropFilter:()=>xm,DepthwiseConv2dNativeBackpropInput:()=>vm,Diag:()=>wm,Dilation2D:()=>mc,Dilation2DBackpropFilter:()=>$h,Dilation2DBackpropInput:()=>Ah,ENV:()=>Cx,EarlyStopping:()=>x2,Einsum:()=>km,Elu:()=>$i,EluGrad:()=>Im,Environment:()=>YI,Equal:()=>Xl,Erf:()=>Kl,Exp:()=>Fi,ExpandDims:()=>Yl,Expm1:()=>Zl,FFT:()=>Sm,Fill:()=>fc,FlipLeftRight:()=>Jl,Floor:()=>Ri,FloorDiv:()=>Di,FromPixels:()=>Fh,FusedBatchNorm:()=>Mi,FusedConv2D:()=>ti,FusedDepthwiseConv2D:()=>ni,GPGPUContext:()=>Th,GatherNd:()=>eu,GatherV2:()=>Ql,GraphModel:()=>F0,Greater:()=>tu,GreaterEqual:()=>Pi,History:()=>IN,IFFT:()=>Tm,Identity:()=>Oi,Imag:()=>Nm,InputSpec:()=>zt,IsFinite:()=>nu,IsInf:()=>au,IsNan:()=>Li,KernelBackend:()=>uc,LRN:()=>gc,LRNGrad:()=>_m,LayerVariable:()=>fN,LayersModel:()=>$r,LeakyRelu:()=>zi,Less:()=>ru,LessEqual:()=>su,LinSpace:()=>Cm,Log:()=>Wi,Log1p:()=>iu,LogSoftmax:()=>eS,LogicalAnd:()=>ou,LogicalNot:()=>lu,LogicalOr:()=>uu,LogicalXor:()=>QI,LowerBound:()=>sR,MathBackendWebGL:()=>Gf,Max:()=>Bi,MaxPool:()=>Ui,MaxPool3D:()=>yc,MaxPool3DGrad:()=>Am,MaxPoolGrad:()=>Em,MaxPoolWithArgmax:()=>$m,Maximum:()=>Vi,Mean:()=>Gi,Min:()=>Hi,Minimum:()=>qi,MirrorPad:()=>ji,Mod:()=>pu,MomentumOptimizer:()=>Xv,Multinomial:()=>Fm,Multiply:()=>Ki,Neg:()=>cu,NonMaxSuppressionV3:()=>hu,NonMaxSuppressionV4:()=>mu,NonMaxSuppressionV5:()=>fu,NotEqual:()=>du,OP_SCOPE_SUFFIX:()=>$x,OneHot:()=>Xi,OnesLike:()=>gu,Optimizer:()=>Pr,OptimizerConstructors:()=>JT,Pack:()=>yu,PadV2:()=>Yi,Pool:()=>iR,Pow:()=>Zi,Prelu:()=>Ji,Prod:()=>Qi,RMSPropOptimizer:()=>Yv,RNN:()=>gr,RaggedGather:()=>Rm,RaggedRange:()=>Dm,RaggedTensorToTensor:()=>Mm,Range:()=>bc,Rank:()=>_b,Real:()=>Pm,RealDiv:()=>Ai,Reciprocal:()=>eo,Reduction:()=>wn,Relu:()=>to,Relu6:()=>ro,Reshape:()=>bu,ResizeBilinear:()=>ao,ResizeBilinearGrad:()=>Lm,ResizeNearestNeighbor:()=>no,ResizeNearestNeighborGrad:()=>Om,Reverse:()=>so,RotateWithOffset:()=>Du,Round:()=>io,Rsqrt:()=>oo,SGDOptimizer:()=>kf,ScatterNd:()=>xu,SearchSorted:()=>zm,Select:()=>vu,Selu:()=>wu,Sequential:()=>Tl,Sigmoid:()=>uo,Sign:()=>Su,Sin:()=>lo,Sinh:()=>Iu,Slice:()=>ku,Softmax:()=>ho,Softplus:()=>Tu,SpaceToBatchND:()=>Nu,SparseFillEmptyRows:()=>xc,SparseReshape:()=>_u,SparseSegmentMean:()=>vc,SparseSegmentSum:()=>wc,SparseToDense:()=>Wm,SplitV:()=>Cu,Sqrt:()=>po,Square:()=>kc,SquaredDifference:()=>mo,Step:()=>Is,StridedSlice:()=>Eu,StringNGrams:()=>Ic,StringSplit:()=>Sc,StringToHashBucketFast:()=>Tc,Sub:()=>fo,Sum:()=>co,SymbolicTensor:()=>Va,Tan:()=>go,Tanh:()=>yo,Tensor:()=>Ne,TensorBuffer:()=>jt,Tile:()=>ks,TopK:()=>Au,Transform:()=>$u,Transpose:()=>Ar,Unique:()=>Bm,Unpack:()=>Fu,UnsortedSegmentSum:()=>Nc,UpperBound:()=>oR,Variable:()=>ps,ZerosLike:()=>Ru,_FusedMatMul:()=>ei,abs:()=>Lt,acos:()=>Ox,acosh:()=>Lx,add:()=>X,addN:()=>kS,all:()=>qm,any:()=>Yp,argMax:()=>si,argMin:()=>zx,asin:()=>Wx,asinh:()=>Bx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>ba,avgPool3d:()=>qx,backend:()=>wS,backend_util:()=>N,basicLSTMCell:()=>NS,batchNorm:()=>Ts,batchNorm2d:()=>jx,batchNorm3d:()=>Kx,batchNorm4d:()=>Xx,batchToSpaceND:()=>Rc,bincount:()=>Yx,booleanMaskAsync:()=>dT,broadcastArgs:()=>CS,broadcastTo:()=>Zs,broadcast_util:()=>Mu,browser:()=>wo,buffer:()=>ze,callbacks:()=>RH,cast:()=>ie,ceil:()=>Zx,clipByValue:()=>tn,clone:()=>or,complex:()=>Fr,concat:()=>Ze,concat1d:()=>Jx,concat2d:()=>Qx,concat3d:()=>ev,concat4d:()=>tv,constraints:()=>bN,conv1d:()=>jm,conv2d:()=>Rt,conv2dTranspose:()=>Km,conv3d:()=>av,conv3dTranspose:()=>rv,copyRegisteredKernels:()=>cR,cos:()=>Dc,cosh:()=>Xm,cosineWindow:()=>yf,cumprod:()=>Qp,cumsum:()=>Ym,customGrad:()=>cr,data:()=>U2,denseBincount:()=>Lh,deprecationWarn:()=>Px,depthToSpace:()=>sv,depthwiseConv2d:()=>Ns,deregisterOp:()=>PH,device_util:()=>Ac,diag:()=>ES,dilation2d:()=>iv,disableDeprecationWarnings:()=>wD,dispose:()=>_e,disposeVariables:()=>kD,div:()=>he,divNoNan:()=>ov,dot:()=>lv,dropout:()=>Wv,einsum:()=>$S,elu:()=>Pu,enableDebugMode:()=>vD,enableProdMode:()=>xD,enclosingPowerOfTwo:()=>Bv,engine:()=>Ea,env:()=>H,equal:()=>Qn,erf:()=>uv,euclideanNorm:()=>dv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>hv,eye:()=>Zm,fft:()=>Uc,fill:()=>bn,findBackend:()=>ED,findBackendFactory:()=>AD,floor:()=>Lu,floorDiv:()=>Hm,forceHalfFloat:()=>lE,fused:()=>wl,gather:()=>zu,gatherND:()=>yT,gather_util:()=>Qv,getBackend:()=>CD,getGradient:()=>Nb,getKernel:()=>Rh,getKernelsForBackend:()=>Dh,getThreadsCount:()=>Fpe,gpgpu_util:()=>W_,grad:()=>SP,grads:()=>TP,greater:()=>Cn,greaterEqual:()=>Dr,ifft:()=>vl,imag:()=>Mc,image:()=>$a,inTopKAsync:()=>bT,initializers:()=>xN,input:()=>LN,io:()=>Ht,irfft:()=>hf,isFinite:()=>mv,isInf:()=>fv,isNaN:()=>gv,keep:()=>Gt,kernel_impls:()=>fr,layers:()=>vN,leakyRelu:()=>Pc,less:()=>Jm,lessEqual:()=>Cs,linalg:()=>Gv,linspace:()=>PS,loadGraphModel:()=>W6,loadGraphModelSync:()=>B6,loadLayersModel:()=>$U,localResponseNormalization:()=>yv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>bv,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>Ra,logicalNot:()=>Lc,logicalOr:()=>nf,logicalXor:()=>xv,losses:()=>AT,lowerBound:()=>LS,matMul:()=>Re,math:()=>WT,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>vv,maxPoolWithArgmax:()=>zS,maximum:()=>mr,mean:()=>Ct,memory:()=>Oh,meshgrid:()=>WS,metrics:()=>f2,min:()=>gl,minimum:()=>Wu,mirrorPad:()=>wv,mod:()=>kv,model:()=>DU,models:()=>g2,moments:()=>zc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>BS,multinomial:()=>VS,neg:()=>vt,nextFrame:()=>ew,norm:()=>Ou,notEqual:()=>ui,oneHot:()=>yl,ones:()=>Jn,onesLike:()=>ta,op:()=>L,outerProduct:()=>US,pad:()=>xa,pad1d:()=>GS,pad2d:()=>HS,pad3d:()=>qS,pad4d:()=>jS,pool:()=>Iv,pow:()=>Rr,prelu:()=>Bc,print:()=>Mx,prod:()=>Sv,profile:()=>ID,raggedGather:()=>KS,raggedRange:()=>XS,raggedTensorToTensor:()=>YS,rand:()=>ZS,randomGamma:()=>tT,randomNormal:()=>rf,randomStandardNormal:()=>nT,randomUniform:()=>Bu,range:()=>pi,ready:()=>ND,real:()=>bl,reciprocal:()=>Ev,registerBackend:()=>Gm,registerCallbackConstructor:()=>PU,registerGradient:()=>tS,registerKernel:()=>Cc,registerOp:()=>MH,regularizers:()=>y2,relu:()=>Ke,relu6:()=>sf,removeBackend:()=>_D,reshape:()=>W,reverse:()=>ya,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Gc,round:()=>of,rsqrt:()=>lf,scalar:()=>xe,scatterND:()=>fT,scatter_util:()=>Ov,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>_s,sequential:()=>MU,serialization:()=>ne,setBackend:()=>TD,setPlatform:()=>$D,setThreadsCount:()=>$pe,setWasmPath:()=>Epe,setWasmPaths:()=>Ape,setWebGLContext:()=>p_,setdiff1dAsync:()=>oT,sigmoid:()=>ha,sign:()=>Av,signal:()=>ET,sin:()=>pf,sinh:()=>cf,slice:()=>Ve,slice1d:()=>Vc,slice2d:()=>df,slice3d:()=>xo,slice4d:()=>xl,slice_util:()=>Kt,softmax:()=>Xa,softplus:()=>bo,spaceToBatchND:()=>Wc,sparse:()=>$T,sparseToDense:()=>gT,spectral:()=>_T,split:()=>zn,sqrt:()=>cn,square:()=>ot,squaredDifference:()=>mf,squeeze:()=>Es,stack:()=>Ft,step:()=>vo,stridedSlice:()=>$v,string:()=>FT,sub:()=>pe,sum:()=>fe,sumOutType:()=>Um,tan:()=>Fv,tanh:()=>oi,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Fa,tensor3d:()=>Hc,tensor4d:()=>Ma,tensor5d:()=>lT,tensor6d:()=>uT,tensor_util:()=>Ua,test_util:()=>JS,tidy:()=>P,tile:()=>Ln,time:()=>SD,topk:()=>Rv,train:()=>Gs,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Dv,unregisterGradient:()=>pR,unregisterKernel:()=>uR,unsortedSegmentSum:()=>gf,unstack:()=>ut,upcastType:()=>fa,upperBound:()=>pT,util:()=>v,valueAndGrad:()=>NP,valueAndGrads:()=>CP,variable:()=>Mv,variableGrads:()=>OS,version:()=>zpe,version_converter:()=>U6,version_core:()=>Wz,version_layers:()=>kw,version_wasm:()=>Rpe,version_webgl:()=>vJ,webgl:()=>wJ,webgl_util:()=>u_,where:()=>gn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>qe});var fF=Object.create,Sx=Object.defineProperty,gF=Object.getOwnPropertyDescriptor,yF=Object.getOwnPropertyNames,bF=Object.getPrototypeOf,xF=Object.prototype.hasOwnProperty,Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)Sx(e,n,{get:t[n],enumerable:!0})},vF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of yF(t))!xF.call(e,r)&&r!==n&&Sx(e,r,{get:()=>t[r],enumerable:!(a=gF(t,r))||a.enumerable});return e},bs=(e,t,n)=>(n=e!=null?fF(bF(e)):{},vF(t||!e||!e.__esModule?Sx(n,"default",{value:e,enumerable:!0}):n,e)),wF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return $}else{if(S<=-y)return R;if(S+1>=y)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),j=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=J.toString(S);if(j=Z,j.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,j=S.high>>>16,K=S.high&65535,Z=S.low>>>16,J=S.low&65535,ee=0,ae=0,te=0,re=0;return re+=G+J,te+=re>>>16,re&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+j,ee&=65535,u(te<<16|re,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(b)&&S.lt(b))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,j=this.low&65535,K=S.high>>>16,Z=S.high&65535,J=S.low>>>16,ee=S.low&65535,ae=0,te=0,re=0,se=0;return se+=j*ee,re+=se>>>16,se&=65535,re+=G*ee,te+=re>>>16,re&=65535,re+=j*J,te+=re>>>16,re&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*J,ae+=te>>>16,te&=65535,te+=j*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*J+G*Z+j*K,ae&=65535,u(re<<16|se,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var j=this.shr(1);return B=j.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),J=l(B),ee=J.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,J=l(B,this.unsigned),ee=J.mul(S);J.isZero()&&(J=I),G=G.add(J),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),kF=Bt(()=>{}),IF=Bt(()=>{}),SF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),TF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),NF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),CF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),_F=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,y,b=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(y=y+1640531527|0,h=b[g&127]^=m+y,f=h==0?f+1:0);for(f>=128&&(b[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=b[f+34&127],h=b[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,b[f]=m^h;d.w=y,d.X=b,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),EF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),AF=Bt(()=>{}),$F=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var $=b(y(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,b(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,$,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,$=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);${var n=SF(),a=TF(),r=NF(),s=CF(),i=_F(),o=EF(),l=$F();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),LI=Bt(()=>{}),Tx=Bt(()=>{}),zI=Bt(()=>{}),FF=Bt(()=>{}),RF=Bt(()=>{}),DF=Bt(()=>{}),MF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=Me&&it(ue.buffer),dt}function i(){return ue.buffer!=Me&&it(ue.buffer),qn}function o(){return ue.buffer!=Me&&it(ue.buffer),Pt}function l(){return ue.buffer!=Me&&it(ue.buffer),ln}function u(){return ue.buffer!=Me&&it(ue.buffer),Fn}function p(){return ue.buffer!=Me&&it(ue.buffer),oa}function d(){return ue.buffer!=Me&&it(ue.buffer),Rn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,q){h=D,m=q});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),y=[],b="./this.program",x=(D,q)=>{throw q},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function $(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof zs||J("exiting due to exception: "+D)}if(T){var U=Tx(),G=zI();I?E=G.dirname(E)+"/":E=__dirname+"/",R=(q,le)=>(q=Qo(q)?new URL(q):G.normalize(q),U.readFileSync(q,le?void 0:"utf8")),S=q=>{var le=R(q,!0);return le.buffer||(le=new Uint8Array(le)),le},F=(q,le,Te)=>{q=Qo(q)?new URL(q):G.normalize(q),U.readFile(q,function(Pe,Fe){Pe?Te(Pe):le(Fe.buffer)})},process.argv.length>1&&(b=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(q){if(!(q instanceof zs))throw q}),process.on("unhandledRejection",function(q){throw q}),x=(q,le)=>{if(Sa())throw process.exitCode=q,le;B(le),process.exit(q)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=FF()}catch(q){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),q}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.send(null),q.responseText},I&&(S=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.responseType="arraybuffer",q.send(null),new Uint8Array(q.response)}),F=(D,q,le)=>{var Te=new XMLHttpRequest;Te.open("GET",D,!0),Te.responseType="arraybuffer",Te.onload=()=>{if(Te.status==200||Te.status==0&&Te.response){q(Te.response);return}le()},Te.onerror=le,Te.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=RF().performance);var j=console.log.bind(console),K=console.warn.bind(console);T&&(j=D=>U.writeSync(1,D+` +"use strict";var faceapi=(()=>{var ub=Object.defineProperty;var uF=Object.getOwnPropertyDescriptor;var pF=Object.getOwnPropertyNames;var cF=Object.prototype.hasOwnProperty;var dF=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var rh=(e,t)=>{for(var n in t)ub(e,n,{get:t[n],enumerable:!0})},hF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of pF(t))!cF.call(e,r)&&r!==n&&ub(e,r,{get:()=>t[r],enumerable:!(a=uF(t,r))||a.enumerable});return e};var mF=e=>hF(ub({},"__esModule",{value:!0}),e);var Hce={};rh(Hce,{AgeGenderNet:()=>xd,BoundingBox:()=>$o,Box:()=>st,ComposableTask:()=>Ia,ComputeAllFaceDescriptorsTask:()=>qr,ComputeFaceDescriptorsTaskBase:()=>Id,ComputeSingleFaceDescriptorTask:()=>jr,DetectAllFaceLandmarksTask:()=>Td,DetectAllFacesTask:()=>yp,DetectFaceLandmarksTaskBase:()=>Sd,DetectFacesTaskBase:()=>Cd,DetectSingleFaceLandmarksTask:()=>Nd,DetectSingleFaceTask:()=>_d,Dimensions:()=>xn,FACE_EXPRESSION_LABELS:()=>M1,FaceDetection:()=>yt,FaceDetectionNet:()=>V1,FaceExpressionNet:()=>bd,FaceExpressions:()=>Ur,FaceLandmark68Net:()=>Wo,FaceLandmark68TinyNet:()=>vd,FaceLandmarkNet:()=>z1,FaceLandmarks:()=>ra,FaceLandmarks5:()=>w1,FaceLandmarks68:()=>Ro,FaceMatch:()=>ap,FaceMatcher:()=>Ed,FaceRecognitionNet:()=>Bo,Gender:()=>cg,LabeledBox:()=>rp,LabeledFaceDescriptors:()=>br,NetInput:()=>vr,NeuralNetwork:()=>on,ObjectDetection:()=>Wr,Point:()=>De,PredictedBox:()=>k1,Rect:()=>Fo,SsdMobilenetv1:()=>Rs,SsdMobilenetv1Options:()=>ka,TinyFaceDetector:()=>qo,TinyFaceDetectorOptions:()=>kd,TinyYolov2:()=>Go,TinyYolov2Options:()=>er,allFaces:()=>Vce,allFacesSsdMobilenetv1:()=>_$,allFacesTinyYolov2:()=>Bce,awaitMediaLoaded:()=>E1,bufferToImage:()=>A1,computeFaceDescriptor:()=>Cce,createCanvas:()=>Oo,createCanvasFromMedia:()=>md,createFaceDetectionNet:()=>vce,createFaceRecognitionNet:()=>uce,createSsdMobilenetv1:()=>h$,createTinyFaceDetector:()=>Uce,createTinyYolov2:()=>Ice,detectAllFaces:()=>vg,detectFaceLandmarks:()=>N$,detectFaceLandmarksTiny:()=>Nce,detectLandmarks:()=>zce,detectSingleFace:()=>Wce,draw:()=>O1,env:()=>Qe,euclideanDistance:()=>H1,extendWithAge:()=>fg,extendWithFaceDescriptor:()=>mg,extendWithFaceDetection:()=>Do,extendWithFaceExpressions:()=>og,extendWithFaceLandmarks:()=>hp,extendWithGender:()=>gg,extractFaceTensors:()=>op,extractFaces:()=>ip,fetchImage:()=>Xpe,fetchJson:()=>R1,fetchNetWeights:()=>Ype,fetchOrThrow:()=>Vr,fetchVideo:()=>Zpe,getContext2dOrThrow:()=>Gn,getMediaDimensions:()=>Po,imageTensorToCanvas:()=>$1,imageToSquare:()=>F1,inverseSigmoid:()=>Vpe,iou:()=>y1,isMediaElement:()=>Qf,isMediaLoaded:()=>hd,isWithAge:()=>pce,isWithFaceDetection:()=>xr,isWithFaceExpressions:()=>P1,isWithFaceLandmarks:()=>zo,isWithGender:()=>cce,loadAgeGenderModel:()=>Pce,loadFaceDetectionModel:()=>Oce,loadFaceExpressionModel:()=>Mce,loadFaceLandmarkModel:()=>Fce,loadFaceLandmarkTinyModel:()=>Rce,loadFaceRecognitionModel:()=>Dce,loadSsdMobilenetv1Model:()=>C$,loadTinyFaceDetectorModel:()=>Ace,loadTinyYolov2Model:()=>$ce,loadWeightMap:()=>D1,locateFaces:()=>Lce,matchDimensions:()=>Jpe,minBbox:()=>b1,nets:()=>et,nonMaxSuppression:()=>x1,normalize:()=>Ja,padToSquare:()=>v1,predictAgeAndGender:()=>Ece,recognizeFaceExpressions:()=>_ce,resizeResults:()=>E$,resolveInput:()=>Mo,shuffleArray:()=>Bpe,sigmoid:()=>pd,ssdMobilenetv1:()=>T$,tf:()=>Le,tinyFaceDetector:()=>Sce,tinyYolov2:()=>Tce,toNetInput:()=>bt,utils:()=>g1,validateConfig:()=>U1,version:()=>Gce});var Le={};rh(Le,{Abs:()=>Rl,Acos:()=>Dl,Acosh:()=>Ml,AdadeltaOptimizer:()=>Hv,AdagradOptimizer:()=>qv,AdamOptimizer:()=>jv,AdamaxOptimizer:()=>Kv,Add:()=>vs,AddN:()=>bi,All:()=>Pl,Any:()=>Ol,ArgMax:()=>xi,ArgMin:()=>pc,Asin:()=>Ll,Asinh:()=>zl,Atan:()=>Wl,Atan2:()=>Vl,Atanh:()=>Bl,AvgPool:()=>vi,AvgPool3D:()=>cc,AvgPool3DGrad:()=>cm,AvgPoolGrad:()=>pm,BackendWasm:()=>VA,BatchMatMul:()=>wi,BatchToSpaceND:()=>Ul,Bincount:()=>dm,BroadcastArgs:()=>hm,BroadcastTo:()=>JI,Callback:()=>b2,CallbackList:()=>kN,Cast:()=>ki,Ceil:()=>Ii,ClipByValue:()=>ws,Complex:()=>mm,ComplexAbs:()=>dc,Concat:()=>Gl,Conv2D:()=>Si,Conv2DBackpropFilter:()=>fm,Conv2DBackpropInput:()=>Ti,Conv3D:()=>hc,Conv3DBackpropFilterV2:()=>gm,Conv3DBackpropInputV2:()=>ym,Cos:()=>Ni,Cosh:()=>Ci,CropAndResize:()=>ql,Cumprod:()=>Hl,Cumsum:()=>_i,CustomCallback:()=>SN,DataStorage:()=>im,DenseBincount:()=>bm,DepthToSpace:()=>jl,DepthwiseConv2dNative:()=>Ei,DepthwiseConv2dNativeBackpropFilter:()=>xm,DepthwiseConv2dNativeBackpropInput:()=>vm,Diag:()=>wm,Dilation2D:()=>mc,Dilation2DBackpropFilter:()=>$h,Dilation2DBackpropInput:()=>Ah,ENV:()=>Cx,EarlyStopping:()=>x2,Einsum:()=>km,Elu:()=>$i,EluGrad:()=>Im,Environment:()=>YI,Equal:()=>Xl,Erf:()=>Kl,Exp:()=>Fi,ExpandDims:()=>Yl,Expm1:()=>Zl,FFT:()=>Sm,Fill:()=>fc,FlipLeftRight:()=>Jl,Floor:()=>Ri,FloorDiv:()=>Di,FromPixels:()=>Fh,FusedBatchNorm:()=>Mi,FusedConv2D:()=>ti,FusedDepthwiseConv2D:()=>ni,GPGPUContext:()=>Th,GatherNd:()=>eu,GatherV2:()=>Ql,GraphModel:()=>F0,Greater:()=>tu,GreaterEqual:()=>Pi,History:()=>IN,IFFT:()=>Tm,Identity:()=>Oi,Imag:()=>Nm,InputSpec:()=>zt,IsFinite:()=>nu,IsInf:()=>au,IsNan:()=>Li,KernelBackend:()=>uc,LRN:()=>gc,LRNGrad:()=>_m,LayerVariable:()=>fN,LayersModel:()=>$r,LeakyRelu:()=>zi,Less:()=>ru,LessEqual:()=>su,LinSpace:()=>Cm,Log:()=>Wi,Log1p:()=>iu,LogSoftmax:()=>eS,LogicalAnd:()=>ou,LogicalNot:()=>lu,LogicalOr:()=>uu,LogicalXor:()=>QI,LowerBound:()=>sR,MathBackendWebGL:()=>Gf,Max:()=>Bi,MaxPool:()=>Ui,MaxPool3D:()=>yc,MaxPool3DGrad:()=>Am,MaxPoolGrad:()=>Em,MaxPoolWithArgmax:()=>$m,Maximum:()=>Vi,Mean:()=>Gi,Min:()=>Hi,Minimum:()=>qi,MirrorPad:()=>ji,Mod:()=>pu,MomentumOptimizer:()=>Xv,Multinomial:()=>Fm,Multiply:()=>Ki,Neg:()=>cu,NonMaxSuppressionV3:()=>hu,NonMaxSuppressionV4:()=>mu,NonMaxSuppressionV5:()=>fu,NotEqual:()=>du,OP_SCOPE_SUFFIX:()=>$x,OneHot:()=>Xi,OnesLike:()=>gu,Optimizer:()=>Pr,OptimizerConstructors:()=>JT,Pack:()=>yu,PadV2:()=>Yi,Pool:()=>iR,Pow:()=>Zi,Prelu:()=>Ji,Prod:()=>Qi,RMSPropOptimizer:()=>Yv,RNN:()=>gr,RaggedGather:()=>Rm,RaggedRange:()=>Dm,RaggedTensorToTensor:()=>Mm,Range:()=>bc,Rank:()=>_b,Real:()=>Pm,RealDiv:()=>Ai,Reciprocal:()=>eo,Reduction:()=>wn,Relu:()=>to,Relu6:()=>ro,Reshape:()=>bu,ResizeBilinear:()=>ao,ResizeBilinearGrad:()=>Lm,ResizeNearestNeighbor:()=>no,ResizeNearestNeighborGrad:()=>Om,Reverse:()=>so,RotateWithOffset:()=>Du,Round:()=>io,Rsqrt:()=>oo,SGDOptimizer:()=>kf,ScatterNd:()=>xu,SearchSorted:()=>zm,Select:()=>vu,Selu:()=>wu,Sequential:()=>Tl,Sigmoid:()=>uo,Sign:()=>Su,Sin:()=>lo,Sinh:()=>Iu,Slice:()=>ku,Softmax:()=>ho,Softplus:()=>Tu,SpaceToBatchND:()=>Nu,SparseFillEmptyRows:()=>xc,SparseReshape:()=>_u,SparseSegmentMean:()=>vc,SparseSegmentSum:()=>wc,SparseToDense:()=>Wm,SplitV:()=>Cu,Sqrt:()=>po,Square:()=>kc,SquaredDifference:()=>mo,Step:()=>Is,StridedSlice:()=>Eu,StringNGrams:()=>Ic,StringSplit:()=>Sc,StringToHashBucketFast:()=>Tc,Sub:()=>fo,Sum:()=>co,SymbolicTensor:()=>Va,Tan:()=>go,Tanh:()=>yo,Tensor:()=>Ne,TensorBuffer:()=>jt,Tile:()=>ks,TopK:()=>Au,Transform:()=>$u,Transpose:()=>Ar,Unique:()=>Bm,Unpack:()=>Fu,UnsortedSegmentSum:()=>Nc,UpperBound:()=>oR,Variable:()=>ps,ZerosLike:()=>Ru,_FusedMatMul:()=>ei,abs:()=>Lt,acos:()=>Ox,acosh:()=>Lx,add:()=>X,addN:()=>kS,all:()=>qm,any:()=>Yp,argMax:()=>si,argMin:()=>zx,asin:()=>Wx,asinh:()=>Bx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>ba,avgPool3d:()=>qx,backend:()=>wS,backend_util:()=>N,basicLSTMCell:()=>NS,batchNorm:()=>Ts,batchNorm2d:()=>jx,batchNorm3d:()=>Kx,batchNorm4d:()=>Xx,batchToSpaceND:()=>Rc,bincount:()=>Yx,booleanMaskAsync:()=>dT,broadcastArgs:()=>CS,broadcastTo:()=>Zs,broadcast_util:()=>Mu,browser:()=>wo,buffer:()=>ze,callbacks:()=>RH,cast:()=>ie,ceil:()=>Zx,clipByValue:()=>tn,clone:()=>or,complex:()=>Fr,concat:()=>Ze,concat1d:()=>Jx,concat2d:()=>Qx,concat3d:()=>ev,concat4d:()=>tv,constraints:()=>bN,conv1d:()=>jm,conv2d:()=>Rt,conv2dTranspose:()=>Km,conv3d:()=>av,conv3dTranspose:()=>rv,copyRegisteredKernels:()=>cR,cos:()=>Dc,cosh:()=>Xm,cosineWindow:()=>yf,cumprod:()=>Qp,cumsum:()=>Ym,customGrad:()=>cr,data:()=>U2,denseBincount:()=>Lh,deprecationWarn:()=>Px,depthToSpace:()=>sv,depthwiseConv2d:()=>Ns,deregisterOp:()=>PH,device_util:()=>Ac,diag:()=>ES,dilation2d:()=>iv,disableDeprecationWarnings:()=>wD,dispose:()=>_e,disposeVariables:()=>kD,div:()=>he,divNoNan:()=>ov,dot:()=>lv,dropout:()=>Wv,einsum:()=>$S,elu:()=>Pu,enableDebugMode:()=>vD,enableProdMode:()=>xD,enclosingPowerOfTwo:()=>Bv,engine:()=>Ea,env:()=>H,equal:()=>Qn,erf:()=>uv,euclideanNorm:()=>dv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>hv,eye:()=>Zm,fft:()=>Uc,fill:()=>bn,findBackend:()=>ED,findBackendFactory:()=>AD,floor:()=>Lu,floorDiv:()=>Hm,forceHalfFloat:()=>lE,fused:()=>wl,gather:()=>zu,gatherND:()=>yT,gather_util:()=>Qv,getBackend:()=>CD,getGradient:()=>Nb,getKernel:()=>Rh,getKernelsForBackend:()=>Dh,getThreadsCount:()=>Fpe,gpgpu_util:()=>W_,grad:()=>SP,grads:()=>TP,greater:()=>Cn,greaterEqual:()=>Dr,ifft:()=>vl,imag:()=>Mc,image:()=>$a,inTopKAsync:()=>bT,initializers:()=>xN,input:()=>LN,io:()=>Ht,irfft:()=>hf,isFinite:()=>mv,isInf:()=>fv,isNaN:()=>gv,keep:()=>Gt,kernel_impls:()=>fr,layers:()=>vN,leakyRelu:()=>Pc,less:()=>Jm,lessEqual:()=>Cs,linalg:()=>Gv,linspace:()=>PS,loadGraphModel:()=>W6,loadGraphModelSync:()=>B6,loadLayersModel:()=>$U,localResponseNormalization:()=>yv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>bv,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>Ra,logicalNot:()=>Lc,logicalOr:()=>nf,logicalXor:()=>xv,losses:()=>AT,lowerBound:()=>LS,matMul:()=>Re,math:()=>WT,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>vv,maxPoolWithArgmax:()=>zS,maximum:()=>mr,mean:()=>Ct,memory:()=>Oh,meshgrid:()=>WS,metrics:()=>f2,min:()=>gl,minimum:()=>Wu,mirrorPad:()=>wv,mod:()=>kv,model:()=>DU,models:()=>g2,moments:()=>zc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>BS,multinomial:()=>VS,neg:()=>vt,nextFrame:()=>ew,norm:()=>Ou,notEqual:()=>ui,oneHot:()=>yl,ones:()=>Jn,onesLike:()=>ta,op:()=>L,outerProduct:()=>US,pad:()=>xa,pad1d:()=>GS,pad2d:()=>HS,pad3d:()=>qS,pad4d:()=>jS,pool:()=>Iv,pow:()=>Rr,prelu:()=>Bc,print:()=>Mx,prod:()=>Sv,profile:()=>ID,raggedGather:()=>KS,raggedRange:()=>XS,raggedTensorToTensor:()=>YS,rand:()=>ZS,randomGamma:()=>tT,randomNormal:()=>rf,randomStandardNormal:()=>nT,randomUniform:()=>Bu,range:()=>pi,ready:()=>ND,real:()=>bl,reciprocal:()=>Ev,registerBackend:()=>Gm,registerCallbackConstructor:()=>PU,registerGradient:()=>tS,registerKernel:()=>Cc,registerOp:()=>MH,regularizers:()=>y2,relu:()=>Ke,relu6:()=>sf,removeBackend:()=>_D,reshape:()=>W,reverse:()=>ya,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Gc,round:()=>of,rsqrt:()=>lf,scalar:()=>xe,scatterND:()=>fT,scatter_util:()=>Ov,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>_s,sequential:()=>MU,serialization:()=>ne,setBackend:()=>TD,setPlatform:()=>$D,setThreadsCount:()=>$pe,setWasmPath:()=>Epe,setWasmPaths:()=>Ape,setWebGLContext:()=>p_,setdiff1dAsync:()=>oT,sigmoid:()=>ha,sign:()=>Av,signal:()=>ET,sin:()=>pf,sinh:()=>cf,slice:()=>Ve,slice1d:()=>Vc,slice2d:()=>df,slice3d:()=>xo,slice4d:()=>xl,slice_util:()=>Kt,softmax:()=>Xa,softplus:()=>bo,spaceToBatchND:()=>Wc,sparse:()=>$T,sparseToDense:()=>gT,spectral:()=>_T,split:()=>zn,sqrt:()=>cn,square:()=>ot,squaredDifference:()=>mf,squeeze:()=>Es,stack:()=>Ft,step:()=>vo,stridedSlice:()=>$v,string:()=>FT,sub:()=>pe,sum:()=>fe,sumOutType:()=>Um,tan:()=>Fv,tanh:()=>oi,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Fa,tensor3d:()=>Hc,tensor4d:()=>Ma,tensor5d:()=>lT,tensor6d:()=>uT,tensor_util:()=>Ua,test_util:()=>JS,tidy:()=>P,tile:()=>Ln,time:()=>SD,topk:()=>Rv,train:()=>Gs,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Dv,unregisterGradient:()=>pR,unregisterKernel:()=>uR,unsortedSegmentSum:()=>gf,unstack:()=>ut,upcastType:()=>fa,upperBound:()=>pT,util:()=>v,valueAndGrad:()=>NP,valueAndGrads:()=>CP,variable:()=>Mv,variableGrads:()=>OS,version:()=>zpe,version_converter:()=>U6,version_core:()=>Wz,version_layers:()=>kw,version_wasm:()=>Rpe,version_webgl:()=>vJ,webgl:()=>wJ,webgl_util:()=>u_,where:()=>gn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>qe});var fF=Object.create,Sx=Object.defineProperty,gF=Object.getOwnPropertyDescriptor,yF=Object.getOwnPropertyNames,bF=Object.getPrototypeOf,xF=Object.prototype.hasOwnProperty,Bt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ae=(e,t)=>{for(var n in t)Sx(e,n,{get:t[n],enumerable:!0})},vF=(e,t,n,a)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of yF(t))!xF.call(e,r)&&r!==n&&Sx(e,r,{get:()=>t[r],enumerable:!(a=gF(t,r))||a.enumerable});return e},bs=(e,t,n)=>(n=e!=null?fF(bF(e)):{},vF(t||!e||!e.__esModule?Sx(n,"default",{value:e,enumerable:!0}):n,e)),wF=Bt((e,t)=>{t.exports=a;var n=null;try{n=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(S){}function a(S,M,B){this.low=S|0,this.high=M|0,this.unsigned=!!B}a.prototype.__isLong__,Object.defineProperty(a.prototype,"__isLong__",{value:!0});function r(S){return(S&&S.__isLong__)===!0}a.isLong=r;var s={},i={};function o(S,M){var B,U,G;return M?(S>>>=0,(G=0<=S&&S<256)&&(U=i[S],U)?U:(B=u(S,(S|0)<0?-1:0,!0),G&&(i[S]=B),B)):(S|=0,(G=-128<=S&&S<128)&&(U=s[S],U)?U:(B=u(S,S<0?-1:0,!1),G&&(s[S]=B),B))}a.fromInt=o;function l(S,M){if(isNaN(S))return M?w:x;if(M){if(S<0)return w;if(S>=g)return $}else{if(S<=-y)return R;if(S+1>=y)return E}return S<0?l(-S,M).neg():u(S%f|0,S/f|0,M)}a.fromNumber=l;function u(S,M,B){return new a(S,M,B)}a.fromBits=u;var p=Math.pow;function d(S,M,B){if(S.length===0)throw Error("empty string");if(S==="NaN"||S==="Infinity"||S==="+Infinity"||S==="-Infinity")return x;if(typeof M=="number"?(B=M,M=!1):M=!!M,B=B||10,B<2||360)throw Error("interior hyphen");if(U===0)return d(S.substring(1),M,B).neg();for(var G=l(p(B,8)),j=x,K=0;K>>0:this.low},F.toNumber=function(){return this.unsigned?(this.high>>>0)*f+(this.low>>>0):this.high*f+(this.low>>>0)},F.toString=function(S){if(S=S||10,S<2||36>>0,ee=J.toString(S);if(j=Z,j.isZero())return ee+K;for(;ee.length<6;)ee="0"+ee;K=""+ee+K}},F.getHighBits=function(){return this.high},F.getHighBitsUnsigned=function(){return this.high>>>0},F.getLowBits=function(){return this.low},F.getLowBitsUnsigned=function(){return this.low>>>0},F.getNumBitsAbs=function(){if(this.isNegative())return this.eq(R)?64:this.neg().getNumBitsAbs();for(var S=this.high!=0?this.high:this.low,M=31;M>0&&!(S&1<=0},F.isOdd=function(){return(this.low&1)===1},F.isEven=function(){return(this.low&1)===0},F.equals=function(S){return r(S)||(S=c(S)),this.unsigned!==S.unsigned&&this.high>>>31===1&&S.high>>>31===1?!1:this.high===S.high&&this.low===S.low},F.eq=F.equals,F.notEquals=function(S){return!this.eq(S)},F.neq=F.notEquals,F.ne=F.notEquals,F.lessThan=function(S){return this.comp(S)<0},F.lt=F.lessThan,F.lessThanOrEqual=function(S){return this.comp(S)<=0},F.lte=F.lessThanOrEqual,F.le=F.lessThanOrEqual,F.greaterThan=function(S){return this.comp(S)>0},F.gt=F.greaterThan,F.greaterThanOrEqual=function(S){return this.comp(S)>=0},F.gte=F.greaterThanOrEqual,F.ge=F.greaterThanOrEqual,F.compare=function(S){if(r(S)||(S=c(S)),this.eq(S))return 0;var M=this.isNegative(),B=S.isNegative();return M&&!B?-1:!M&&B?1:this.unsigned?S.high>>>0>this.high>>>0||S.high===this.high&&S.low>>>0>this.low>>>0?-1:1:this.sub(S).isNegative()?-1:1},F.comp=F.compare,F.negate=function(){return!this.unsigned&&this.eq(R)?R:this.not().add(I)},F.neg=F.negate,F.add=function(S){r(S)||(S=c(S));var M=this.high>>>16,B=this.high&65535,U=this.low>>>16,G=this.low&65535,j=S.high>>>16,K=S.high&65535,Z=S.low>>>16,J=S.low&65535,ee=0,ae=0,te=0,re=0;return re+=G+J,te+=re>>>16,re&=65535,te+=U+Z,ae+=te>>>16,te&=65535,ae+=B+K,ee+=ae>>>16,ae&=65535,ee+=M+j,ee&=65535,u(te<<16|re,ee<<16|ae,this.unsigned)},F.subtract=function(S){return r(S)||(S=c(S)),this.add(S.neg())},F.sub=F.subtract,F.multiply=function(S){if(this.isZero())return x;if(r(S)||(S=c(S)),n){var M=n.mul(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(S.isZero())return x;if(this.eq(R))return S.isOdd()?R:x;if(S.eq(R))return this.isOdd()?R:x;if(this.isNegative())return S.isNegative()?this.neg().mul(S.neg()):this.neg().mul(S).neg();if(S.isNegative())return this.mul(S.neg()).neg();if(this.lt(b)&&S.lt(b))return l(this.toNumber()*S.toNumber(),this.unsigned);var B=this.high>>>16,U=this.high&65535,G=this.low>>>16,j=this.low&65535,K=S.high>>>16,Z=S.high&65535,J=S.low>>>16,ee=S.low&65535,ae=0,te=0,re=0,se=0;return se+=j*ee,re+=se>>>16,se&=65535,re+=G*ee,te+=re>>>16,re&=65535,re+=j*J,te+=re>>>16,re&=65535,te+=U*ee,ae+=te>>>16,te&=65535,te+=G*J,ae+=te>>>16,te&=65535,te+=j*Z,ae+=te>>>16,te&=65535,ae+=B*ee+U*J+G*Z+j*K,ae&=65535,u(re<<16|se,ae<<16|te,this.unsigned)},F.mul=F.multiply,F.divide=function(S){if(r(S)||(S=c(S)),S.isZero())throw Error("division by zero");if(n){if(!this.unsigned&&this.high===-2147483648&&S.low===-1&&S.high===-1)return this;var M=(this.unsigned?n.div_u:n.div_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?w:x;var B,U,G;if(this.unsigned){if(S.unsigned||(S=S.toUnsigned()),S.gt(this))return w;if(S.gt(this.shru(1)))return T;G=w}else{if(this.eq(R)){if(S.eq(I)||S.eq(C))return R;if(S.eq(R))return I;var j=this.shr(1);return B=j.div(S).shl(1),B.eq(x)?S.isNegative()?I:C:(U=this.sub(S.mul(B)),G=B.add(U.div(S)),G)}else if(S.eq(R))return this.unsigned?w:x;if(this.isNegative())return S.isNegative()?this.neg().div(S.neg()):this.neg().div(S).neg();if(S.isNegative())return this.div(S.neg()).neg();G=x}for(U=this;U.gte(S);){B=Math.max(1,Math.floor(U.toNumber()/S.toNumber()));for(var K=Math.ceil(Math.log(B)/Math.LN2),Z=K<=48?1:p(2,K-48),J=l(B),ee=J.mul(S);ee.isNegative()||ee.gt(U);)B-=Z,J=l(B,this.unsigned),ee=J.mul(S);J.isZero()&&(J=I),G=G.add(J),U=U.sub(ee)}return G},F.div=F.divide,F.modulo=function(S){if(r(S)||(S=c(S)),n){var M=(this.unsigned?n.rem_u:n.rem_s)(this.low,this.high,S.low,S.high);return u(M,n.get_high(),this.unsigned)}return this.sub(this.div(S).mul(S))},F.mod=F.modulo,F.rem=F.modulo,F.not=function(){return u(~this.low,~this.high,this.unsigned)},F.and=function(S){return r(S)||(S=c(S)),u(this.low&S.low,this.high&S.high,this.unsigned)},F.or=function(S){return r(S)||(S=c(S)),u(this.low|S.low,this.high|S.high,this.unsigned)},F.xor=function(S){return r(S)||(S=c(S)),u(this.low^S.low,this.high^S.high,this.unsigned)},F.shiftLeft=function(S){return r(S)&&(S=S.toInt()),(S&=63)===0?this:S<32?u(this.low<>>32-S,this.unsigned):u(0,this.low<>>S|this.high<<32-S,this.high>>S,this.unsigned):u(this.high>>S-32,this.high>=0?0:-1,this.unsigned)},F.shr=F.shiftRight,F.shiftRightUnsigned=function(S){if(r(S)&&(S=S.toInt()),S&=63,S===0)return this;var M=this.high;if(S<32){var B=this.low;return u(B>>>S|M<<32-S,M>>>S,this.unsigned)}else return S===32?u(M,0,this.unsigned):u(M>>>S-32,0,this.unsigned)},F.shru=F.shiftRightUnsigned,F.shr_u=F.shiftRightUnsigned,F.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},F.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},F.toBytes=function(S){return S?this.toBytesLE():this.toBytesBE()},F.toBytesLE=function(){var S=this.high,M=this.low;return[M&255,M>>>8&255,M>>>16&255,M>>>24,S&255,S>>>8&255,S>>>16&255,S>>>24]},F.toBytesBE=function(){var S=this.high,M=this.low;return[S>>>24,S>>>16&255,S>>>8&255,S&255,M>>>24,M>>>16&255,M>>>8&255,M&255]},a.fromBytes=function(S,M,B){return B?a.fromBytesLE(S,M):a.fromBytesBE(S,M)},a.fromBytesLE=function(S,M){return new a(S[0]|S[1]<<8|S[2]<<16|S[3]<<24,S[4]|S[5]<<8|S[6]<<16|S[7]<<24,M)},a.fromBytesBE=function(S,M){return new a(S[4]<<24|S[5]<<16|S[6]<<8|S[7],S[0]<<24|S[1]<<16|S[2]<<8|S[3],M)}}),kF=Bt(()=>{}),IF=Bt(()=>{}),SF=Bt((e,t)=>{(function(n,a,r){function s(u){var p=this,d=l();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=d(" "),p.s1=d(" "),p.s2=d(" "),p.s0-=d(u),p.s0<0&&(p.s0+=1),p.s1-=d(u),p.s1<0&&(p.s1+=1),p.s2-=d(u),p.s2<0&&(p.s2+=1),d=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var d=new s(u),c=p&&p.state,h=d.next;return h.int32=function(){return d.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&i(c,d),h.state=function(){return i(d,{})}),h}function l(){var u=4022871197,p=function(d){d=String(d);for(var c=0;c>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),TF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var c=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^c^c>>>8},l===(l|0)?u.x=l:p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),NF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(c^c<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var d=0;d>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),CF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.x,c=u.i,h,m,f;return h=d[c],h^=h>>>7,m=h^h<<24,h=d[c+1&7],m^=h^h>>>10,h=d[c+3&7],m^=h^h>>>3,h=d[c+4&7],m^=h^h<<7,h=d[c+7&7],h=h^h<<13,m^=h^h<<9,d[c]=m,u.i=c+1&7,m};function p(d,c){var h,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,h=0;h0;--h)d.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.x&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),_F=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this;u.next=function(){var d=u.w,c=u.X,h=u.i,m,f;return u.w=d=d+1640531527|0,f=c[h+34&127],m=c[h=h+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[h]=f^m,u.i=h,f+(d^d>>>16)|0};function p(d,c){var h,m,f,g,y,b=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,g=-32;g>>15,m^=m<<4,m^=m>>>13,g>=0&&(y=y+1640531527|0,h=b[g&127]^=m+y,f=h==0?f+1:0);for(f>=128&&(b[(c&&c.length||0)&127]=-1),f=127,g=4*128;g>0;--g)m=b[f+34&127],h=b[f=f+1&127],m^=m<<13,h^=h<<17,m^=m>>>15,h^=h>>>12,b[f]=m^h;d.w=y,d.X=b,d.i=f}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),d=u&&u.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(d.X&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),EF=Bt((e,t)=>{(function(n,a,r){function s(l){var u=this,p="";u.next=function(){var c=u.b,h=u.c,m=u.d,f=u.a;return c=c<<25^c>>>7^h,h=h-m|0,m=m<<24^m>>>8^f,f=f-c|0,u.b=c=c<<20^c>>>12^h,u.c=h=h-m|0,u.d=m<<16^h>>>16^f,u.a=f-c|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var d=0;d>>0)/4294967296};return c.double=function(){do var h=p.next()>>>11,m=(p.next()>>>0)/4294967296,f=(h+m)/(1<<21);while(f===0);return f},c.int32=p.next,c.quick=c,d&&(typeof d=="object"&&i(d,p),c.state=function(){return i(p,{})}),c}a&&a.exports?a.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),AF=Bt(()=>{}),$F=Bt((e,t)=>{(function(n,a,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),d=p*2,c=s-1,h;function m(I,T,C){var E=[];T=T==!0?{entropy:!0}:T||{};var $=b(y(T.entropy?[I,w(a)]:I==null?x():I,3),E),R=new f(E),F=function(){for(var S=R.g(i),M=u,B=0;S=d;)S/=2,M/=2,B>>>=1;return(S+B)/M};return F.int32=function(){return R.g(4)|0},F.quick=function(){return R.g(4)/4294967296},F.double=F,b(w(R.S),a),(T.pass||C||function(S,M,B,U){return U&&(U.S&&g(U,R),S.state=function(){return g(R,{})}),B?(r[l]=S,M):S})(F,$,"global"in T?T.global:this==r,T.state)}function f(I){var T,C=I.length,E=this,$=0,R=E.i=E.j=0,F=E.S=[];for(C||(I=[C++]);${var n=SF(),a=TF(),r=NF(),s=CF(),i=_F(),o=EF(),l=$F();l.alea=n,l.xor128=a,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),LI=Bt(()=>{}),Tx=Bt(()=>{}),zI=Bt(()=>{}),FF=Bt(()=>{}),RF=Bt(()=>{}),DF=Bt(()=>{}),MF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};function s(){return ue.buffer!=Me&&it(ue.buffer),dt}function i(){return ue.buffer!=Me&&it(ue.buffer),qn}function o(){return ue.buffer!=Me&&it(ue.buffer),Pt}function l(){return ue.buffer!=Me&&it(ue.buffer),ln}function u(){return ue.buffer!=Me&&it(ue.buffer),Fn}function p(){return ue.buffer!=Me&&it(ue.buffer),oa}function d(){return ue.buffer!=Me&&it(ue.buffer),Rn}var c=typeof r!="undefined"?r:{},h,m;c.ready=new Promise(function(D,q){h=D,m=q});var f;typeof process!="undefined"&&process.listeners&&(f={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},c),y=[],b="./this.program",x=(D,q)=>{throw q},w=typeof window=="object",I=typeof importScripts=="function",T=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=c.ENVIRONMENT_IS_PTHREAD||!1,E="";function $(D){return c.locateFile?c.locateFile(D,E):E+D}var R,F,S,M;function B(D){D instanceof zs||J("exiting due to exception: "+D)}if(T){var U=Tx(),G=zI();I?E=G.dirname(E)+"/":E=__dirname+"/",R=(q,le)=>(q=Qo(q)?new URL(q):G.normalize(q),U.readFileSync(q,le?void 0:"utf8")),S=q=>{var le=R(q,!0);return le.buffer||(le=new Uint8Array(le)),le},F=(q,le,Te)=>{q=Qo(q)?new URL(q):G.normalize(q),U.readFile(q,function(Pe,Fe){Pe?Te(Pe):le(Fe.buffer)})},process.argv.length>1&&(b=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(q){if(!(q instanceof zs))throw q}),process.on("unhandledRejection",function(q){throw q}),x=(q,le)=>{if(Sa())throw process.exitCode=q,le;B(le),process.exit(q)},c.inspect=function(){return"[Emscripten Module object]"};let D;try{D=FF()}catch(q){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),q}global.Worker=D.Worker}else(w||I)&&(I?E=self.location.href:typeof document!="undefined"&&document.currentScript&&(E=document.currentScript.src),typeof a!="undefined"&&a&&(E=a),E.indexOf("blob:")!==0?E=E.substr(0,E.replace(/[?#].*/,"").lastIndexOf("/")+1):E="",T||(R=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.send(null),q.responseText},I&&(S=D=>{var q=new XMLHttpRequest;return q.open("GET",D,!1),q.responseType="arraybuffer",q.send(null),new Uint8Array(q.response)}),F=(D,q,le)=>{var Te=new XMLHttpRequest;Te.open("GET",D,!0),Te.responseType="arraybuffer",Te.onload=()=>{if(Te.status==200||Te.status==0&&Te.response){q(Te.response);return}le()},Te.onerror=le,Te.send(null)}),M=D=>document.title=D);T&&typeof performance=="undefined"&&(global.performance=RF().performance);var j=console.log.bind(console),K=console.warn.bind(console);T&&(j=D=>U.writeSync(1,D+` `),K=D=>U.writeSync(2,D+` `));var Z=c.print||j,J=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(y=c.arguments),c.thisProgram&&(b=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,re=Atomics.compareExchange,se;c.wasmBinary&&(se=c.wasmBinary);var be=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Ls("no native wasm support detected");var ue,ye,ke=!1,Se;function We(D,q){D||Ls(q)}var Ge=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function pt(D,q,le){for(var Te=q+le,Pe=q;D[Pe]&&!(Pe>=Te);)++Pe;if(Pe-q>16&&D.buffer&&Ge)return Ge.decode(D.buffer instanceof SharedArrayBuffer?D.slice(q,Pe):D.subarray(q,Pe));for(var Fe="";q>10,56320|ua&1023)}}return Fe}function at(D,q){return D?pt(i(),D,q):""}function tt(D,q,le,Te){if(!(Te>0))return 0;for(var Pe=le,Fe=le+Te-1,me=0;me=55296&&we<=57343){var Nt=D.charCodeAt(++me);we=65536+((we&1023)<<10)|Nt&1023}if(we<=127){if(le>=Fe)break;q[le++]=we}else if(we<=2047){if(le+1>=Fe)break;q[le++]=192|we>>6,q[le++]=128|we&63}else if(we<=65535){if(le+2>=Fe)break;q[le++]=224|we>>12,q[le++]=128|we>>6&63,q[le++]=128|we&63}else{if(le+3>=Fe)break;q[le++]=240|we>>18,q[le++]=128|we>>12&63,q[le++]=128|we>>6&63,q[le++]=128|we&63}}return q[le]=0,le-Pe}function nt(D,q,le){return tt(D,i(),q,le)}var Me,dt,qn,Pt,ia,ln,Fn,oa,Rn;C&&(Me=c.buffer);function it(D){Me=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Pt=new Int16Array(D),c.HEAP32=ln=new Int32Array(D),c.HEAPU8=qn=new Uint8Array(D),c.HEAPU16=ia=new Uint16Array(D),c.HEAPU32=Fn=new Uint32Array(D),c.HEAPF32=oa=new Float32Array(D),c.HEAPF64=Rn=new Float64Array(D)}var Dn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,Me=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Dn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw J("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&J("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");ue&&(Me=ue.buffer),Dn=Me.byteLength,it(Me);var jn,wr=[],Zo=[],tr=[],bp=!1;function Sa(){return be}function Kr(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)wg(c.preRun.shift());vp(wr)}function Zt(){bp=!0,!C&&vp(Zo)}function Ad(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)q1(c.postRun.shift());vp(tr)}}function wg(D){wr.unshift(D)}function kg(D){Zo.unshift(D)}function q1(D){tr.unshift(D)}var Xr=0,Jo=null,kr=null;function Ig(D){Xr++,c.monitorRunDependencies&&c.monitorRunDependencies(Xr)}function $d(D){if(Xr--,c.monitorRunDependencies&&c.monitorRunDependencies(Xr),Xr==0&&(Jo!==null&&(clearInterval(Jo),Jo=null),kr)){var q=kr;kr=null,q()}}function Ls(D){c.onAbort&&c.onAbort(D),D="Aborted("+D+")",J(D),ke=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var q=new WebAssembly.RuntimeError(D);throw m(q),q}var Sg="data:application/octet-stream;base64,";function Fd(D){return D.startsWith(Sg)}function Qo(D){return D.startsWith("file://")}var mn;mn="tfjs-backend-wasm-threaded-simd.wasm",Fd(mn)||(mn=$(mn));function Rd(D){try{if(D==mn&&se)return new Uint8Array(se);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(q){Ls(q)}}function Tg(){if(!se&&(w||I)){if(typeof fetch=="function"&&!Qo(mn))return fetch(mn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+mn+"'";return D.arrayBuffer()}).catch(function(){return Rd(mn)});if(F)return new Promise(function(D,q){F(mn,function(le){D(new Uint8Array(le))},q)})}return Promise.resolve().then(function(){return Rd(mn)})}function Ng(){var D={env:qd,wasi_snapshot_preview1:qd};function q(me,we){var Nt=me.exports;if(c.asm=Nt,Mg(c.asm._emscripten_tls_init),jn=c.asm.__indirect_function_table,kg(c.asm.__wasm_call_ctors),ye=we,!C){var ua=$e.unusedWorkers.length;$e.unusedWorkers.forEach(function(Sr){$e.loadWasmModuleToWorker(Sr,function(){--ua||$d("wasm-instantiate")})})}}C||Ig("wasm-instantiate");function le(me){q(me.instance,me.module)}function Te(me){return Tg().then(function(we){return WebAssembly.instantiate(we,D)}).then(function(we){return we}).then(me,function(we){J("failed to asynchronously prepare wasm: "+we),Ls(we)})}function Pe(){return!se&&typeof WebAssembly.instantiateStreaming=="function"&&!Fd(mn)&&!Qo(mn)&&!T&&typeof fetch=="function"?fetch(mn,{credentials:"same-origin"}).then(function(me){var we=WebAssembly.instantiateStreaming(me,D);return we.then(le,function(Nt){return J("wasm streaming compile failed: "+Nt),J("falling back to ArrayBuffer instantiation"),Te(le)})}):Te(le)}if(c.instantiateWasm)try{var Fe=c.instantiateWasm(D,q);return Fe}catch(me){J("Module.instantiateWasm callback failed with error: "+me),m(me)}return Pe().catch(m),{}}var j1,K1,Dd={};function zs(D){this.name="ExitStatus",this.message="Program terminated with exit("+D+")",this.status=D}function Cg(D){var q=$e.pthreads[D];delete $e.pthreads[D],q.terminate(),ib(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(q),1),q.pthread_ptr=0}function _g(D){var q=$e.pthreads[D];q.postMessage({cmd:"cancel"})}function xp(D){var q=$e.pthreads[D];We(q),$e.returnWorkerToPool(q)}function Eg(D){var q=$e.getNewWorker();if(!q)return 6;$e.runningWorkers.push(q),$e.pthreads[D.pthread_ptr]=q,q.pthread_ptr=D.pthread_ptr;var le={cmd:"run",start_routine:D.startRoutine,arg:D.arg,pthread_ptr:D.pthread_ptr};return q.runPthread=()=>{T&&q.ref(),q.postMessage(le,D.transferList),delete q.runPthread},q.loaded&&q.runPthread(),0}var Md={varargs:void 0,get:function(){Md.varargs+=4;var D=l()[Md.varargs-4>>2];return D},getStr:function(D){var q=at(D);return q}};function Pd(D){if(C)return Yr(1,1,D);Se=D,Sa()||($e.terminateAllThreads(),c.onExit&&c.onExit(D),ke=!0),x(D,new zs(D))}function Ag(D,q){if(Se=D,!q&&C)throw Ld(D),"unwind";Pd(D)}var Od=Ag;function $g(D){if(D instanceof zs||D=="unwind")return Se;x(1,D)}var $e={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?$e.initWorker():$e.initMainThread()},initMainThread:function(){for(var D=8;D--;)$e.allocateUnusedWorker()},initWorker:function(){be=!1},setExitStatus:function(D){Se=D},terminateAllThreads:function(){for(var D of Object.values($e.pthreads))$e.returnWorkerToPool(D);for(var D of $e.unusedWorkers)D.terminate();$e.unusedWorkers=[]},returnWorkerToPool:function(D){var q=D.pthread_ptr;delete $e.pthreads[q],$e.unusedWorkers.push(D),$e.runningWorkers.splice($e.runningWorkers.indexOf(D),1),D.pthread_ptr=0,T&&D.unref(),ib(q)},receiveObjectTransfer:function(D){},threadInitTLS:function(){$e.tlsInitFunctions.forEach(D=>D())},loadWasmModuleToWorker:function(D,q){D.onmessage=Fe=>{var me=Fe.data,we=me.cmd;if(D.pthread_ptr&&($e.currentProxiedOperationCallerThread=D.pthread_ptr),me.targetThread&&me.targetThread!=Jd()){var Nt=$e.pthreads[me.targetThread];Nt?Nt.postMessage(me,me.transferList):J('Internal error! Worker sent a message "'+we+'" to target pthread '+me.targetThread+", but that thread no longer exists!"),$e.currentProxiedOperationCallerThread=void 0;return}we==="processProxyingQueue"?wp(me.queue):we==="spawnThread"?Eg(me):we==="cleanupThread"?xp(me.thread):we==="killThread"?Cg(me.thread):we==="cancelThread"?_g(me.thread):we==="loaded"?(D.loaded=!0,T&&D.unref(),q&&q(D),D.runPthread&&D.runPthread()):we==="print"?Z("Thread "+me.threadId+": "+me.text):we==="printErr"?J("Thread "+me.threadId+": "+me.text):we==="alert"?alert("Thread "+me.threadId+": "+me.text):me.target==="setimmediate"?D.postMessage(me):we==="callHandler"?c[me.handler](...me.args):we&&J("worker sent an unknown command "+we),$e.currentProxiedOperationCallerThread=void 0},D.onerror=Fe=>{var me="worker sent an error!";throw J(me+" "+Fe.filename+":"+Fe.lineno+": "+Fe.message),Fe},T&&(D.on("message",function(Fe){D.onmessage({data:Fe})}),D.on("error",function(Fe){D.onerror(Fe)}),D.on("detachedExit",function(){}));var le=[],Te=["onExit","onAbort","print","printErr"];for(var Pe of Te)c.hasOwnProperty(Pe)&&le.push(Pe);D.postMessage({cmd:"load",handlers:le,urlOrBlob:c.mainScriptUrlOrBlob||a,wasmMemory:ue,wasmModule:ye})},allocateUnusedWorker:function(){var D,q=$("tfjs-backend-wasm-threaded-simd.worker.js");D=new Worker(q),$e.unusedWorkers.push(D)},getNewWorker:function(){return $e.unusedWorkers.length==0&&($e.allocateUnusedWorker(),$e.loadWasmModuleToWorker($e.unusedWorkers[0])),$e.unusedWorkers.pop()}};c.PThread=$e;function vp(D){for(;D.length>0;)D.shift()(c)}function Fg(){var D=Jd(),q=l()[D+52>>2],le=l()[D+56>>2],Te=q-le;ek(q,Te),Qd(q)}c.establishStackSpace=Fg;function Ld(D){if(C)return Yr(2,0,D);try{Od(D)}catch(q){$g(q)}}var el=[];function Rg(D){var q=el[D];return q||(D>=el.length&&(el.length=D+1),el[D]=q=jn.get(D)),q}function Dg(D,q){var le=Rg(D)(q);Sa()?$e.setExitStatus(le):Q1(le)}c.invokeEntryPoint=Dg;function Mg(D){$e.tlsInitFunctions.push(D)}function Pg(D){Y1(D,!I,1,!w),$e.threadInitTLS()}function Og(D){C?postMessage({cmd:"cleanupThread",thread:D}):xp(D)}function zd(D,q,le,Te){return C?Yr(3,1,D,q,le,Te):Wd(D,q,le,Te)}function Wd(D,q,le,Te){if(typeof SharedArrayBuffer=="undefined")return J("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Pe=[],Fe=0;if(C&&(Pe.length===0||Fe))return zd(D,q,le,Te);if(Fe)return Fe;var me={startRoutine:le,pthread_ptr:D,arg:Te,transferList:Pe};return C?(me.cmd="spawnThread",postMessage(me,Pe),0):Eg(me)}function Lg(){return 65536}var zg=!0;function Wg(){return zg}function wp(D){Atomics.store(l(),D>>2,1),Jd()&&J1(D),Atomics.compareExchange(l(),D>>2,1,0)}c.executeNotifiedProxyingQueue=wp;function Bg(D,q,le,Te){if(D==q)setTimeout(()=>wp(Te));else if(C)postMessage({targetThread:D,cmd:"processProxyingQueue",queue:Te});else{var Pe=$e.pthreads[D];if(!Pe)return;Pe.postMessage({cmd:"processProxyingQueue",queue:Te})}return 1}function Vg(D,q,le){return-1}function Ug(){Ls("")}function Ws(D){Ws.shown||(Ws.shown={}),Ws.shown[D]||(Ws.shown[D]=1,T&&(D="warning: "+D),J(D))}function Gg(){T||I||Ws("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Hg(){return Date.now()}function Bd(){return 2147483648}function qg(){return Bd()}var kp;T?kp=()=>{var D=process.hrtime();return D[0]*1e3+D[1]/1e6}:kp=()=>performance.timeOrigin+performance.now();function jg(D,q,le){i().copyWithin(D,q,q+le)}function Kg(){return T?DF().cpus().length:navigator.hardwareConcurrency}function Xg(D){var q=ob(),le=D();return Qd(q),le}function Yr(D,q){var le=arguments.length-2,Te=arguments;return Xg(()=>{for(var Pe=le,Fe=eh(Pe*8),me=Fe>>3,we=0;we>3,Pe=0;Pe>>16),it(ue.buffer),1}catch(q){}}function Jg(D){var q=i().length;if(D=D>>>0,D<=q)return!1;var le=Bd();if(D>le)return!1;let Te=(Nt,ua)=>Nt+(ua-Nt%ua)%ua;for(var Pe=1;Pe<=4;Pe*=2){var Fe=q*(1+.2/Pe);Fe=Math.min(Fe,D+100663296);var me=Math.min(le,Te(Math.max(D,Fe),65536)),we=Zg(me);if(we)return!0}return!1}function Qg(){throw"unwind"}function Vd(D){return C?Yr(4,1,D):52}function Ud(D,q,le,Te,Pe){return C?Yr(5,1,D,q,le,Te,Pe):70}var ey=[null,[],[]];function ty(D,q){var le=ey[D];q===0||q===10?((D===1?Z:J)(pt(le,0)),le.length=0):le.push(q)}function Gd(D,q,le,Te){if(C)return Yr(6,1,D,q,le,Te);for(var Pe=0,Fe=0;Fe>2],we=u()[q+4>>2];q+=8;for(var Nt=0;Nt>2]=Pe,0}function Hd(D){var q=c["_"+D];return q}function ny(D,q){s().set(D,q)}function ay(D,q,le,Te,Pe){var Fe={string:pa=>{var rl=0;if(pa!=null&&pa!==0){var ak=(pa.length<<2)+1;rl=eh(ak),nt(pa,rl,ak)}return rl},array:pa=>{var rl=eh(pa.length);return ny(pa,rl),rl}};function me(pa){return q==="string"?at(pa):q==="boolean"?Boolean(pa):pa}var we=Hd(D),Nt=[],ua=0;if(Te)for(var Sr=0;Srme==="number"||me==="boolean"),Fe=q!=="string";return Fe&&Pe&&!Te?Hd(D):function(){return ay(D,q,le,arguments,Te)}}$e.init();var sy=[null,Pd,Ld,zd,Vd,Ud,Gd],qd={__emscripten_init_main_thread_js:Pg,__emscripten_thread_cleanup:Og,__pthread_create_js:Wd,_emscripten_default_pthread_stack_size:Lg,_emscripten_get_now_is_monotonic:Wg,_emscripten_notify_task_queue:Bg,_emscripten_set_offscreencanvas_size:Vg,abort:Ug,emscripten_check_blocking_allowed:Gg,emscripten_date_now:Hg,emscripten_get_heap_max:qg,emscripten_get_now:kp,emscripten_memcpy_big:jg,emscripten_num_logical_cores:Kg,emscripten_receive_on_main_thread_js:Yg,emscripten_resize_heap:Jg,emscripten_unwind_to_js_event_loop:Qg,exit:Od,fd_close:Vd,fd_seek:Ud,fd_write:Gd,memory:ue||c.wasmMemory},X1=Ng(),iy=c.___wasm_call_ctors=function(){return(iy=c.___wasm_call_ctors=c.asm.__wasm_call_ctors).apply(null,arguments)},oy=c._init=function(){return(oy=c._init=c.asm.init).apply(null,arguments)},ly=c._init_with_threads_count=function(){return(ly=c._init_with_threads_count=c.asm.init_with_threads_count).apply(null,arguments)},uy=c._get_threads_count=function(){return(uy=c._get_threads_count=c.asm.get_threads_count).apply(null,arguments)},py=c._register_tensor=function(){return(py=c._register_tensor=c.asm.register_tensor).apply(null,arguments)},cy=c._dispose_data=function(){return(cy=c._dispose_data=c.asm.dispose_data).apply(null,arguments)},dy=c._dispose=function(){return(dy=c._dispose=c.asm.dispose).apply(null,arguments)},hy=c._Abs=function(){return(hy=c._Abs=c.asm.Abs).apply(null,arguments)},my=c._Add=function(){return(my=c._Add=c.asm.Add).apply(null,arguments)},fy=c._AddN=function(){return(fy=c._AddN=c.asm.AddN).apply(null,arguments)},gy=c._All=function(){return(gy=c._All=c.asm.All).apply(null,arguments)},yy=c._Any=function(){return(yy=c._Any=c.asm.Any).apply(null,arguments)},by=c._ArgMax=function(){return(by=c._ArgMax=c.asm.ArgMax).apply(null,arguments)},xy=c._AvgPool=function(){return(xy=c._AvgPool=c.asm.AvgPool).apply(null,arguments)},vy=c._BatchMatMul=function(){return(vy=c._BatchMatMul=c.asm.BatchMatMul).apply(null,arguments)},wy=c._Ceil=function(){return(wy=c._Ceil=c.asm.Ceil).apply(null,arguments)},ky=c._ClipByValue=function(){return(ky=c._ClipByValue=c.asm.ClipByValue).apply(null,arguments)},Iy=c._Conv2D=function(){return(Iy=c._Conv2D=c.asm.Conv2D).apply(null,arguments)},Sy=c._Conv2DBackpropInput=function(){return(Sy=c._Conv2DBackpropInput=c.asm.Conv2DBackpropInput).apply(null,arguments)},Ty=c._Cos=function(){return(Ty=c._Cos=c.asm.Cos).apply(null,arguments)},Ny=c._Cosh=function(){return(Ny=c._Cosh=c.asm.Cosh).apply(null,arguments)},Cy=c._CropAndResize=function(){return(Cy=c._CropAndResize=c.asm.CropAndResize).apply(null,arguments)},_y=c._Cumprod=function(){return(_y=c._Cumprod=c.asm.Cumprod).apply(null,arguments)},Ey=c._Cumsum=function(){return(Ey=c._Cumsum=c.asm.Cumsum).apply(null,arguments)},Ay=c._DepthToSpace=function(){return(Ay=c._DepthToSpace=c.asm.DepthToSpace).apply(null,arguments)},$y=c._DepthwiseConv2dNative=function(){return($y=c._DepthwiseConv2dNative=c.asm.DepthwiseConv2dNative).apply(null,arguments)},Fy=c._Elu=function(){return(Fy=c._Elu=c.asm.Elu).apply(null,arguments)},Ry=c._Equal=function(){return(Ry=c._Equal=c.asm.Equal).apply(null,arguments)},Dy=c._Exp=function(){return(Dy=c._Exp=c.asm.Exp).apply(null,arguments)},My=c._FlipLeftRight=function(){return(My=c._FlipLeftRight=c.asm.FlipLeftRight).apply(null,arguments)},Py=c._Floor=function(){return(Py=c._Floor=c.asm.Floor).apply(null,arguments)},Oy=c._FloorDiv=function(){return(Oy=c._FloorDiv=c.asm.FloorDiv).apply(null,arguments)},Ly=c._FusedBatchNorm=function(){return(Ly=c._FusedBatchNorm=c.asm.FusedBatchNorm).apply(null,arguments)},zy=c._FusedConv2D=function(){return(zy=c._FusedConv2D=c.asm.FusedConv2D).apply(null,arguments)},Wy=c._FusedDepthwiseConv2D=function(){return(Wy=c._FusedDepthwiseConv2D=c.asm.FusedDepthwiseConv2D).apply(null,arguments)},By=c._Gather=function(){return(By=c._Gather=c.asm.Gather).apply(null,arguments)},Vy=c._GatherNd=function(){return(Vy=c._GatherNd=c.asm.GatherNd).apply(null,arguments)},Uy=c._Greater=function(){return(Uy=c._Greater=c.asm.Greater).apply(null,arguments)},Gy=c._GreaterEqual=function(){return(Gy=c._GreaterEqual=c.asm.GreaterEqual).apply(null,arguments)},Hy=c._IsNan=function(){return(Hy=c._IsNan=c.asm.IsNan).apply(null,arguments)},qy=c._LeakyRelu=function(){return(qy=c._LeakyRelu=c.asm.LeakyRelu).apply(null,arguments)},jy=c._Less=function(){return(jy=c._Less=c.asm.Less).apply(null,arguments)},Ky=c._LessEqual=function(){return(Ky=c._LessEqual=c.asm.LessEqual).apply(null,arguments)},Xy=c._Log=function(){return(Xy=c._Log=c.asm.Log).apply(null,arguments)},Yy=c._LogicalAnd=function(){return(Yy=c._LogicalAnd=c.asm.LogicalAnd).apply(null,arguments)},Zy=c._LogicalNot=function(){return(Zy=c._LogicalNot=c.asm.LogicalNot).apply(null,arguments)},Jy=c._LogicalOr=function(){return(Jy=c._LogicalOr=c.asm.LogicalOr).apply(null,arguments)},Qy=c._LogicalXor=function(){return(Qy=c._LogicalXor=c.asm.LogicalXor).apply(null,arguments)},eb=c._Max=function(){return(eb=c._Max=c.asm.Max).apply(null,arguments)},tb=c._MaxPool=function(){return(tb=c._MaxPool=c.asm.MaxPool).apply(null,arguments)},jd=c._Maximum=function(){return(jd=c._Maximum=c.asm.Maximum).apply(null,arguments)},Kd=c._Mean=function(){return(Kd=c._Mean=c.asm.Mean).apply(null,arguments)},Sp=c._Min=function(){return(Sp=c._Min=c.asm.Min).apply(null,arguments)},nb=c._Minimum=function(){return(nb=c._Minimum=c.asm.Minimum).apply(null,arguments)},ab=c._MirrorPad=function(){return(ab=c._MirrorPad=c.asm.MirrorPad).apply(null,arguments)},tl=c._Multiply=function(){return(tl=c._Multiply=c.asm.Multiply).apply(null,arguments)},Xd=c._Neg=function(){return(Xd=c._Neg=c.asm.Neg).apply(null,arguments)},nl=c._NonMaxSuppressionV3=function(){return(nl=c._NonMaxSuppressionV3=c.asm.NonMaxSuppressionV3).apply(null,arguments)},al=c._NonMaxSuppressionV4=function(){return(al=c._NonMaxSuppressionV4=c.asm.NonMaxSuppressionV4).apply(null,arguments)},rb=c._NonMaxSuppressionV5=function(){return(rb=c._NonMaxSuppressionV5=c.asm.NonMaxSuppressionV5).apply(null,arguments)},Y=c._NotEqual=function(){return(Y=c._NotEqual=c.asm.NotEqual).apply(null,arguments)},oe=c._OneHot=function(){return(oe=c._OneHot=c.asm.OneHot).apply(null,arguments)},Ie=c._PadV2=function(){return(Ie=c._PadV2=c.asm.PadV2).apply(null,arguments)},Xe=c._Pow=function(){return(Xe=c._Pow=c.asm.Pow).apply(null,arguments)},wt=c._Prelu=function(){return(wt=c._Prelu=c.asm.Prelu).apply(null,arguments)},kt=c._Prod=function(){return(kt=c._Prod=c.asm.Prod).apply(null,arguments)},He=c._RealDiv=function(){return(He=c._RealDiv=c.asm.RealDiv).apply(null,arguments)},Be=c._Reciprocal=function(){return(Be=c._Reciprocal=c.asm.Reciprocal).apply(null,arguments)},Ot=c._Relu=function(){return(Ot=c._Relu=c.asm.Relu).apply(null,arguments)},la=c._Relu6=function(){return(la=c._Relu6=c.asm.Relu6).apply(null,arguments)},Ir=c._ResizeBilinear=function(){return(Ir=c._ResizeBilinear=c.asm.ResizeBilinear).apply(null,arguments)},Yd=c._ResizeNearestNeighbor=function(){return(Yd=c._ResizeNearestNeighbor=c.asm.ResizeNearestNeighbor).apply(null,arguments)},Tp=c._Reverse=function(){return(Tp=c._Reverse=c.asm.Reverse).apply(null,arguments)},sb=c._RotateWithOffset=function(){return(sb=c._RotateWithOffset=c.asm.RotateWithOffset).apply(null,arguments)},Mn=c._Round=function(){return(Mn=c._Round=c.asm.Round).apply(null,arguments)},Zr=c._Rsqrt=function(){return(Zr=c._Rsqrt=c.asm.Rsqrt).apply(null,arguments)},Zd=c._ScatterNd=function(){return(Zd=c._ScatterNd=c.asm.ScatterNd).apply(null,arguments)},A$=c._SelectV2=function(){return(A$=c._SelectV2=c.asm.SelectV2).apply(null,arguments)},$$=c._Sigmoid=function(){return($$=c._Sigmoid=c.asm.Sigmoid).apply(null,arguments)},F$=c._Sin=function(){return(F$=c._Sin=c.asm.Sin).apply(null,arguments)},R$=c._Softmax=function(){return(R$=c._Softmax=c.asm.Softmax).apply(null,arguments)},D$=c._SparseFillEmptyRows=function(){return(D$=c._SparseFillEmptyRows=c.asm.SparseFillEmptyRows).apply(null,arguments)},M$=c._SparseReshape=function(){return(M$=c._SparseReshape=c.asm.SparseReshape).apply(null,arguments)},P$=c._SparseSegmentReduction=function(){return(P$=c._SparseSegmentReduction=c.asm.SparseSegmentReduction).apply(null,arguments)},O$=c._Sqrt=function(){return(O$=c._Sqrt=c.asm.Sqrt).apply(null,arguments)},L$=c._Square=function(){return(L$=c._Square=c.asm.Square).apply(null,arguments)},z$=c._SquaredDifference=function(){return(z$=c._SquaredDifference=c.asm.SquaredDifference).apply(null,arguments)},W$=c._Step=function(){return(W$=c._Step=c.asm.Step).apply(null,arguments)},B$=c._StridedSlice=function(){return(B$=c._StridedSlice=c.asm.StridedSlice).apply(null,arguments)},V$=c._Sub=function(){return(V$=c._Sub=c.asm.Sub).apply(null,arguments)},U$=c._Sum=function(){return(U$=c._Sum=c.asm.Sum).apply(null,arguments)},G$=c._Tan=function(){return(G$=c._Tan=c.asm.Tan).apply(null,arguments)},H$=c._Tanh=function(){return(H$=c._Tanh=c.asm.Tanh).apply(null,arguments)},q$=c._Tile=function(){return(q$=c._Tile=c.asm.Tile).apply(null,arguments)},j$=c._TopK=function(){return(j$=c._TopK=c.asm.TopK).apply(null,arguments)},K$=c._Transform=function(){return(K$=c._Transform=c.asm.Transform).apply(null,arguments)},X$=c._Transpose=function(){return(X$=c._Transpose=c.asm.Transpose).apply(null,arguments)},Y$=c.__FusedMatMul=function(){return(Y$=c.__FusedMatMul=c.asm._FusedMatMul).apply(null,arguments)},Z$=c._malloc=function(){return(Z$=c._malloc=c.asm.malloc).apply(null,arguments)},J$=c._free=function(){return(J$=c._free=c.asm.free).apply(null,arguments)},Q$=c.__emscripten_tls_init=function(){return(Q$=c.__emscripten_tls_init=c.asm._emscripten_tls_init).apply(null,arguments)},Jd=c._pthread_self=function(){return(Jd=c._pthread_self=c.asm.pthread_self).apply(null,arguments)},eF=c.___errno_location=function(){return(eF=c.___errno_location=c.asm.__errno_location).apply(null,arguments)},Y1=c.__emscripten_thread_init=function(){return(Y1=c.__emscripten_thread_init=c.asm._emscripten_thread_init).apply(null,arguments)},tF=c.__emscripten_thread_crashed=function(){return(tF=c.__emscripten_thread_crashed=c.asm._emscripten_thread_crashed).apply(null,arguments)},nF=c._emscripten_main_thread_process_queued_calls=function(){return(nF=c._emscripten_main_thread_process_queued_calls=c.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},aF=c._emscripten_main_browser_thread_id=function(){return(aF=c._emscripten_main_browser_thread_id=c.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Z1=c._emscripten_run_in_main_runtime_thread_js=function(){return(Z1=c._emscripten_run_in_main_runtime_thread_js=c.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},rF=c._emscripten_dispatch_to_thread_=function(){return(rF=c._emscripten_dispatch_to_thread_=c.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},J1=c.__emscripten_proxy_execute_task_queue=function(){return(J1=c.__emscripten_proxy_execute_task_queue=c.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},ib=c.__emscripten_thread_free_data=function(){return(ib=c.__emscripten_thread_free_data=c.asm._emscripten_thread_free_data).apply(null,arguments)},Q1=c.__emscripten_thread_exit=function(){return(Q1=c.__emscripten_thread_exit=c.asm._emscripten_thread_exit).apply(null,arguments)},ek=c._emscripten_stack_set_limits=function(){return(ek=c._emscripten_stack_set_limits=c.asm.emscripten_stack_set_limits).apply(null,arguments)},ob=c.stackSave=function(){return(ob=c.stackSave=c.asm.stackSave).apply(null,arguments)},Qd=c.stackRestore=function(){return(Qd=c.stackRestore=c.asm.stackRestore).apply(null,arguments)},eh=c.stackAlloc=function(){return(eh=c.stackAlloc=c.asm.stackAlloc).apply(null,arguments)},sF=c.dynCall_iijjiiii=function(){return(sF=c.dynCall_iijjiiii=c.asm.dynCall_iijjiiii).apply(null,arguments)},iF=c.dynCall_jiji=function(){return(iF=c.dynCall_jiji=c.asm.dynCall_jiji).apply(null,arguments)};c.keepRuntimeAlive=Sa,c.wasmMemory=ue,c.cwrap=ry,c.ExitStatus=zs,c.PThread=$e;var th;kr=function D(){th||tk(),th||(kr=D)};function tk(D){if(D=D||y,Xr>0)return;if(C){h(c),Zt(),startWorker(c);return}if(Kr(),Xr>0)return;function q(){th||(th=!0,c.calledRun=!0,!ke&&(Zt(),h(c),c.onRuntimeInitialized&&c.onRuntimeInitialized(),Ad()))}c.setStatus?(c.setStatus("Running..."),setTimeout(function(){setTimeout(function(){c.setStatus("")},1),q()},1)):q()}if(c.preInit)for(typeof c.preInit=="function"&&(c.preInit=[c.preInit]);c.preInit.length>0;)c.preInit.pop()();tk();var nh;f&&(nh={uncaughtException:process.listeners("uncaughtException").filter(function(D){return!f.uncaughtException.indexOf(D)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(D){return!f.unhandledRejection.indexOf(D)>-1})});var ah;if(typeof WasmBackendModule!="undefined")ah=WasmBackendModule;else if(typeof r!="undefined")ah=r;else throw new Error("Could not find wasm module in post.js");if(nh){var oF=ah._dispose;ah._dispose=function(){oF(),nh.uncaughtException.forEach(function(D){process.removeListener("uncaughtException",D)}),nh.unhandledRejection.forEach(function(D){process.removeListener("unhandledRejection",D)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=n)}),PF=Bt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" ");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),OF=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(Y,oe){i=Y,o=oe});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(Y,oe)=>{throw oe},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function y(Y){return s.locateFile?s.locateFile(Y,g):g+Y}var b,x,w,I;function T(Y){Y instanceof Jo||R("exiting due to exception: "+Y)}if(f){var C=Tx(),E=zI();m?g=E.dirname(g)+"/":g=__dirname+"/",b=(Y,oe)=>(Y=Kr(Y)?new URL(Y):E.normalize(Y),C.readFileSync(Y,oe?void 0:"utf8")),w=Y=>{var oe=b(Y,!0);return oe.buffer||(oe=new Uint8Array(oe)),oe},x=(Y,oe,Ie)=>{Y=Kr(Y)?new URL(Y):E.normalize(Y),C.readFile(Y,function(Xe,wt){Xe?Ie(Xe):oe(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(Y){if(!(Y instanceof Jo))throw Y}),process.on("unhandledRejection",function(Y){throw Y}),c=(Y,oe)=>{if(qn())throw process.exitCode=Y,oe;T(oe),process.exit(Y)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",b=Y=>{var oe=new XMLHttpRequest;return oe.open("GET",Y,!1),oe.send(null),oe.responseText},m&&(w=Y=>{var oe=new XMLHttpRequest;return oe.open("GET",Y,!1),oe.responseType="arraybuffer",oe.send(null),new Uint8Array(oe.response)}),x=(Y,oe,Ie)=>{var Xe=new XMLHttpRequest;Xe.open("GET",Y,!0),Xe.responseType="arraybuffer",Xe.onload=()=>{if(Xe.status==200||Xe.status==0&&Xe.response){oe(Xe.response);return}Ie()},Xe.onerror=Ie,Xe.send(null)},I=Y=>document.title=Y);var $=s.print||console.log.bind(console),R=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(d=s.thisProgram),s.quit&&(c=s.quit);var F=4,S;s.wasmBinary&&(S=s.wasmBinary);var M=s.noExitRuntime||!0;typeof WebAssembly!="object"&&tr("no native wasm support detected");var B,U=!1,G;function j(Y,oe){Y||tr(oe)}var K=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Z(Y,oe,Ie){for(var Xe=oe+Ie,wt=oe;Y[wt]&&!(wt>=Xe);)++wt;if(wt-oe>16&&Y.buffer&&K)return K.decode(Y.subarray(oe,wt));for(var kt="";oe>10,56320|la&1023)}}return kt}function J(Y,oe){return Y?Z(se,Y,oe):""}function ee(Y,oe,Ie,Xe){if(!(Xe>0))return 0;for(var wt=Ie,kt=Ie+Xe-1,He=0;He=55296&&Be<=57343){var Ot=Y.charCodeAt(++He);Be=65536+((Be&1023)<<10)|Ot&1023}if(Be<=127){if(Ie>=kt)break;oe[Ie++]=Be}else if(Be<=2047){if(Ie+1>=kt)break;oe[Ie++]=192|Be>>6,oe[Ie++]=128|Be&63}else if(Be<=65535){if(Ie+2>=kt)break;oe[Ie++]=224|Be>>12,oe[Ie++]=128|Be>>6&63,oe[Ie++]=128|Be&63}else{if(Ie+3>=kt)break;oe[Ie++]=240|Be>>18,oe[Ie++]=128|Be>>12&63,oe[Ie++]=128|Be>>6&63,oe[Ie++]=128|Be&63}}return oe[Ie]=0,Ie-wt}function ae(Y,oe,Ie){return ee(Y,se,oe,Ie)}var te,re,se,be,ue,ye,ke,Se,We;function Ge(Y){te=Y,s.HEAP8=re=new Int8Array(Y),s.HEAP16=be=new Int16Array(Y),s.HEAP32=ye=new Int32Array(Y),s.HEAPU8=se=new Uint8Array(Y),s.HEAPU16=ue=new Uint16Array(Y),s.HEAPU32=ke=new Uint32Array(Y),s.HEAPF32=Se=new Float32Array(Y),s.HEAPF64=We=new Float64Array(Y)}var pt=s.INITIAL_MEMORY||16777216,at,tt=[],nt=[],Me=[],dt=!1;function qn(){return M}function Pt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Fn(s.preRun.shift());kr(tt)}function ia(){dt=!0,kr(nt)}function ln(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Rn(s.postRun.shift());kr(Me)}function Fn(Y){tt.unshift(Y)}function oa(Y){nt.unshift(Y)}function Rn(Y){Me.unshift(Y)}var it=0,Dn=null,jn=null;function wr(Y){it++,s.monitorRunDependencies&&s.monitorRunDependencies(it)}function Zo(Y){if(it--,s.monitorRunDependencies&&s.monitorRunDependencies(it),it==0&&(Dn!==null&&(clearInterval(Dn),Dn=null),jn)){var oe=jn;jn=null,oe()}}function tr(Y){s.onAbort&&s.onAbort(Y),Y="Aborted("+Y+")",R(Y),U=!0,G=1,Y+=". Build with -sASSERTIONS for more info.";var oe=new WebAssembly.RuntimeError(Y);throw o(oe),oe}var bp="data:application/octet-stream;base64,";function Sa(Y){return Y.startsWith(bp)}function Kr(Y){return Y.startsWith("file://")}var Zt;Zt="tfjs-backend-wasm.wasm",Sa(Zt)||(Zt=y(Zt));function Ad(Y){try{if(Y==Zt&&S)return new Uint8Array(S);if(w)return w(Y);throw"both async and sync fetching of the wasm failed"}catch(oe){tr(oe)}}function wg(){if(!S&&(h||m)){if(typeof fetch=="function"&&!Kr(Zt))return fetch(Zt,{credentials:"same-origin"}).then(function(Y){if(!Y.ok)throw"failed to load wasm binary file at '"+Zt+"'";return Y.arrayBuffer()}).catch(function(){return Ad(Zt)});if(x)return new Promise(function(Y,oe){x(Zt,function(Ie){Y(new Uint8Array(Ie))},oe)})}return Promise.resolve().then(function(){return Ad(Zt)})}function kg(){var Y={env:xp,wasi_snapshot_preview1:xp};function oe(He,Be){var Ot=He.exports;s.asm=Ot,B=s.asm.memory,Ge(B.buffer),at=s.asm.__indirect_function_table,oa(s.asm.__wasm_call_ctors),Zo("wasm-instantiate")}wr("wasm-instantiate");function Ie(He){oe(He.instance)}function Xe(He){return wg().then(function(Be){return WebAssembly.instantiate(Be,Y)}).then(function(Be){return Be}).then(He,function(Be){R("failed to asynchronously prepare wasm: "+Be),tr(Be)})}function wt(){return!S&&typeof WebAssembly.instantiateStreaming=="function"&&!Sa(Zt)&&!Kr(Zt)&&!f&&typeof fetch=="function"?fetch(Zt,{credentials:"same-origin"}).then(function(He){var Be=WebAssembly.instantiateStreaming(He,Y);return Be.then(Ie,function(Ot){return R("wasm streaming compile failed: "+Ot),R("falling back to ArrayBuffer instantiation"),Xe(Ie)})}):Xe(Ie)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(Y,oe);return kt}catch(He){R("Module.instantiateWasm callback failed with error: "+He),o(He)}return wt().catch(o),{}}var q1,Xr;function Jo(Y){this.name="ExitStatus",this.message="Program terminated with exit("+Y+")",this.status=Y}function kr(Y){for(;Y.length>0;)Y.shift()(s)}function Ig(){tr("")}function $d(){return 2147483648}function Ls(){return $d()}function Sg(Y,oe,Ie){se.copyWithin(Y,oe,oe+Ie)}function Fd(Y){try{return B.grow(Y-te.byteLength+65535>>>16),Ge(B.buffer),1}catch(oe){}}function Qo(Y){var oe=se.length;Y=Y>>>0;var Ie=$d();if(Y>Ie)return!1;let Xe=(Ot,la)=>Ot+(la-Ot%la)%la;for(var wt=1;wt<=4;wt*=2){var kt=oe*(1+.2/wt);kt=Math.min(kt,Y+100663296);var He=Math.min(Ie,Xe(Math.max(Y,kt),65536)),Be=Fd(He);if(Be)return!0}return!1}var mn={varargs:void 0,get:function(){mn.varargs+=4;var Y=ye[mn.varargs-4>>2];return Y},getStr:function(Y){var oe=J(Y);return oe}};function Rd(Y){return 52}function Tg(Y,oe,Ie,Xe,wt){return 70}var Ng=[null,[],[]];function j1(Y,oe){var Ie=Ng[Y];oe===0||oe===10?((Y===1?$:R)(Z(Ie,0)),Ie.length=0):Ie.push(oe)}function K1(Y,oe,Ie,Xe){for(var wt=0,kt=0;kt>2],Be=ke[oe+4>>2];oe+=8;for(var Ot=0;Ot>2]=wt,0}function Dd(Y){var oe=s["_"+Y];return oe}function zs(Y,oe){re.set(Y,oe)}function Cg(Y,oe,Ie,Xe,wt){var kt={string:Mn=>{var Zr=0;if(Mn!=null&&Mn!==0){var Zd=(Mn.length<<2)+1;Zr=Sp(Zd),ae(Mn,Zr,Zd)}return Zr},array:Mn=>{var Zr=Sp(Mn.length);return zs(Mn,Zr),Zr}};function He(Mn){return oe==="string"?J(Mn):oe==="boolean"?Boolean(Mn):Mn}var Be=Dd(Y),Ot=[],la=0;if(Xe)for(var Ir=0;IrHe==="number"||He==="boolean"),kt=oe!=="string";return kt&&wt&&!Xe?Dd(Y):function(){return Cg(Y,oe,Ie,arguments,Xe)}}var xp={abort:Ig,emscripten_get_heap_max:Ls,emscripten_memcpy_big:Sg,emscripten_resize_heap:Qo,fd_close:Rd,fd_seek:Tg,fd_write:K1},Eg=kg(),Md=s.___wasm_call_ctors=function(){return(Md=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Pd=s._init=function(){return(Pd=s._init=s.asm.init).apply(null,arguments)},Ag=s._init_with_threads_count=function(){return(Ag=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},Od=s._get_threads_count=function(){return(Od=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},$g=s._register_tensor=function(){return($g=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},$e=s._dispose_data=function(){return($e=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},vp=s._dispose=function(){return(vp=s._dispose=s.asm.dispose).apply(null,arguments)},Fg=s._Abs=function(){return(Fg=s._Abs=s.asm.Abs).apply(null,arguments)},Ld=s._Add=function(){return(Ld=s._Add=s.asm.Add).apply(null,arguments)},el=s._AddN=function(){return(el=s._AddN=s.asm.AddN).apply(null,arguments)},Rg=s._All=function(){return(Rg=s._All=s.asm.All).apply(null,arguments)},Dg=s._Any=function(){return(Dg=s._Any=s.asm.Any).apply(null,arguments)},Mg=s._ArgMax=function(){return(Mg=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},Pg=s._AvgPool=function(){return(Pg=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},Og=s._BatchMatMul=function(){return(Og=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},zd=s._Ceil=function(){return(zd=s._Ceil=s.asm.Ceil).apply(null,arguments)},Wd=s._ClipByValue=function(){return(Wd=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Lg=s._Conv2D=function(){return(Lg=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},zg=s._Conv2DBackpropInput=function(){return(zg=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},Wg=s._Cos=function(){return(Wg=s._Cos=s.asm.Cos).apply(null,arguments)},wp=s._Cosh=function(){return(wp=s._Cosh=s.asm.Cosh).apply(null,arguments)},Bg=s._CropAndResize=function(){return(Bg=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},Vg=s._Cumprod=function(){return(Vg=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},Ug=s._Cumsum=function(){return(Ug=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Ws=s._DepthToSpace=function(){return(Ws=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},Gg=s._DepthwiseConv2dNative=function(){return(Gg=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Hg=s._Elu=function(){return(Hg=s._Elu=s.asm.Elu).apply(null,arguments)},Bd=s._Equal=function(){return(Bd=s._Equal=s.asm.Equal).apply(null,arguments)},qg=s._Exp=function(){return(qg=s._Exp=s.asm.Exp).apply(null,arguments)},kp=s._FlipLeftRight=function(){return(kp=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},jg=s._Floor=function(){return(jg=s._Floor=s.asm.Floor).apply(null,arguments)},Kg=s._FloorDiv=function(){return(Kg=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Xg=s._FusedBatchNorm=function(){return(Xg=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Yr=s._FusedConv2D=function(){return(Yr=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},Ip=s._FusedDepthwiseConv2D=function(){return(Ip=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},Yg=s._Gather=function(){return(Yg=s._Gather=s.asm.Gather).apply(null,arguments)},Zg=s._GatherNd=function(){return(Zg=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},Jg=s._Greater=function(){return(Jg=s._Greater=s.asm.Greater).apply(null,arguments)},Qg=s._GreaterEqual=function(){return(Qg=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},Vd=s._IsNan=function(){return(Vd=s._IsNan=s.asm.IsNan).apply(null,arguments)},Ud=s._LeakyRelu=function(){return(Ud=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},ey=s._Less=function(){return(ey=s._Less=s.asm.Less).apply(null,arguments)},ty=s._LessEqual=function(){return(ty=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},Gd=s._Log=function(){return(Gd=s._Log=s.asm.Log).apply(null,arguments)},Hd=s._LogicalAnd=function(){return(Hd=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},ny=s._LogicalNot=function(){return(ny=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},ay=s._LogicalOr=function(){return(ay=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},ry=s._LogicalXor=function(){return(ry=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},sy=s._Max=function(){return(sy=s._Max=s.asm.Max).apply(null,arguments)},qd=s._MaxPool=function(){return(qd=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},X1=s._Maximum=function(){return(X1=s._Maximum=s.asm.Maximum).apply(null,arguments)},iy=s._Mean=function(){return(iy=s._Mean=s.asm.Mean).apply(null,arguments)},oy=s._Min=function(){return(oy=s._Min=s.asm.Min).apply(null,arguments)},ly=s._Minimum=function(){return(ly=s._Minimum=s.asm.Minimum).apply(null,arguments)},uy=s._MirrorPad=function(){return(uy=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},py=s._Multiply=function(){return(py=s._Multiply=s.asm.Multiply).apply(null,arguments)},cy=s._Neg=function(){return(cy=s._Neg=s.asm.Neg).apply(null,arguments)},dy=s._NonMaxSuppressionV3=function(){return(dy=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},hy=s._NonMaxSuppressionV4=function(){return(hy=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},my=s._NonMaxSuppressionV5=function(){return(my=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},fy=s._NotEqual=function(){return(fy=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},gy=s._OneHot=function(){return(gy=s._OneHot=s.asm.OneHot).apply(null,arguments)},yy=s._PadV2=function(){return(yy=s._PadV2=s.asm.PadV2).apply(null,arguments)},by=s._Pow=function(){return(by=s._Pow=s.asm.Pow).apply(null,arguments)},xy=s._Prelu=function(){return(xy=s._Prelu=s.asm.Prelu).apply(null,arguments)},vy=s._Prod=function(){return(vy=s._Prod=s.asm.Prod).apply(null,arguments)},wy=s._RealDiv=function(){return(wy=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},ky=s._Reciprocal=function(){return(ky=s._Reciprocal=s.asm.Reciprocal).apply(null,arguments)},Iy=s._Relu=function(){return(Iy=s._Relu=s.asm.Relu).apply(null,arguments)},Sy=s._Relu6=function(){return(Sy=s._Relu6=s.asm.Relu6).apply(null,arguments)},Ty=s._ResizeBilinear=function(){return(Ty=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},Ny=s._ResizeNearestNeighbor=function(){return(Ny=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},Cy=s._Reverse=function(){return(Cy=s._Reverse=s.asm.Reverse).apply(null,arguments)},_y=s._RotateWithOffset=function(){return(_y=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},Ey=s._Round=function(){return(Ey=s._Round=s.asm.Round).apply(null,arguments)},Ay=s._Rsqrt=function(){return(Ay=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},$y=s._ScatterNd=function(){return($y=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Fy=s._SelectV2=function(){return(Fy=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Ry=s._Sigmoid=function(){return(Ry=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Dy=s._Sin=function(){return(Dy=s._Sin=s.asm.Sin).apply(null,arguments)},My=s._Softmax=function(){return(My=s._Softmax=s.asm.Softmax).apply(null,arguments)},Py=s._SparseFillEmptyRows=function(){return(Py=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},Oy=s._SparseReshape=function(){return(Oy=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},Ly=s._SparseSegmentReduction=function(){return(Ly=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},zy=s._Sqrt=function(){return(zy=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},Wy=s._Square=function(){return(Wy=s._Square=s.asm.Square).apply(null,arguments)},By=s._SquaredDifference=function(){return(By=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},Vy=s._Step=function(){return(Vy=s._Step=s.asm.Step).apply(null,arguments)},Uy=s._StridedSlice=function(){return(Uy=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},Gy=s._Sub=function(){return(Gy=s._Sub=s.asm.Sub).apply(null,arguments)},Hy=s._Sum=function(){return(Hy=s._Sum=s.asm.Sum).apply(null,arguments)},qy=s._Tan=function(){return(qy=s._Tan=s.asm.Tan).apply(null,arguments)},jy=s._Tanh=function(){return(jy=s._Tanh=s.asm.Tanh).apply(null,arguments)},Ky=s._Tile=function(){return(Ky=s._Tile=s.asm.Tile).apply(null,arguments)},Xy=s._TopK=function(){return(Xy=s._TopK=s.asm.TopK).apply(null,arguments)},Yy=s._Transform=function(){return(Yy=s._Transform=s.asm.Transform).apply(null,arguments)},Zy=s._Transpose=function(){return(Zy=s._Transpose=s.asm.Transpose).apply(null,arguments)},Jy=s.__FusedMatMul=function(){return(Jy=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},Qy=s._malloc=function(){return(Qy=s._malloc=s.asm.malloc).apply(null,arguments)},eb=s._free=function(){return(eb=s._free=s.asm.free).apply(null,arguments)},tb=s.___errno_location=function(){return(tb=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},jd=s.stackSave=function(){return(jd=s.stackSave=s.asm.stackSave).apply(null,arguments)},Kd=s.stackRestore=function(){return(Kd=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},Sp=s.stackAlloc=function(){return(Sp=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},nb=s.dynCall_iijjiiii=function(){return(nb=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},ab=s.dynCall_jiji=function(){return(ab=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=_g;var tl;jn=function Y(){tl||Xd(),tl||(jn=Y)};function Xd(Y){if(Y=Y||p,it>0||(Pt(),it>0))return;function oe(){tl||(tl=!0,s.calledRun=!0,!U&&(ia(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),ln()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),oe()},1)):oe()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Xd();var nl;l&&(nl={uncaughtException:process.listeners("uncaughtException").filter(function(Y){return!l.uncaughtException.indexOf(Y)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(Y){return!l.unhandledRejection.indexOf(Y)>-1})});var al;if(typeof r!="undefined")al=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")al=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(nl){var rb=al._dispose;al._dispose=function(){rb(),nl.uncaughtException.forEach(function(Y){process.removeListener("uncaughtException",Y)}),nl.unhandledRejection.forEach(function(Y){process.removeListener("unhandledRejection",Y)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=n:typeof define=="function"&&define.amd?define([],function(){return n}):typeof e=="object"&&(e.WasmBackendModule=n)}),im=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},uc=class{refCount(e){return Kn("refCount")}incRef(e){return Kn("incRef")}timerAvailable(){return!0}time(e){return Kn("time")}read(e){return Kn("read")}readSync(e){return Kn("readSync")}readToGPU(e,t){return Kn("readToGPU")}numDataIds(){return Kn("numDataIds")}disposeData(e,t){return Kn("disposeData")}write(e,t,n){return Kn("write")}move(e,t,n,a,r){return Kn("move")}createTensorFromGPUData(e,t,n){return Kn("createTensorFromGPUData")}memory(){return Kn("memory")}floatPrecision(){return Kn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Kn("dispose")}};function Kn(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function WI(e){let t=e.length,n=0;for(;t>0;)n=Math.random()*t|0,t--,Ch(e,t,n)}function LF(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let n=e.length,a=0;for(;n>0;)a=Math.random()*n|0,n--,Ch(e,n,a),Ch(t,n,a)}function Hp(e,t,n){return Math.max(e,Math.min(t,n))}function zF(e){return e%2===0?e:e+1}function Ch(e,t,n){let a=e[t];e[t]=e[n],e[n]=a}function WF(e){let t=0;for(let n=0;nn+` Shapes ${e} and ${t} must match`)}function yi(e){A(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function mt(e){if(e.length===0)return 1;let t=e[0];for(let n=1;n0,n,a){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(n!=null&&i>=n){s();return}a!=null?a(o,l):setTimeout(o,l)};o()})}function KF(e,t){let n=1,a=-1;for(let s=0;s=0)n*=e[s];else if(e[s]===-1){if(a!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${a} and dim ${s}`);a=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(a===-1){if(t>0&&t!==n)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(n===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%n!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${n}`);let r=e.slice();return r[a]=t/n,r}function Da(e,t){let n=t.length;return e=e==null?t.map((a,r)=>r):[].concat(e),A(e.every(a=>a>=-n&&a`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),A(e.every(a=>ml(a)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(a=>a<0?n+a:a)}function BI(e,t){let n=[],a=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Da(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(n.push(e[o]),a.push(o)),s[i]<=o&&i++}e[o]!==1&&(n.push(e[o]),a.push(o))}return{newShape:n,keptDims:a}}function VI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return n}function UI(e,t){let n=null;if(e==null||e==="float32")n=new Float32Array(t);else if(e==="int32")n=new Int32Array(t);else if(e==="bool")n=new Uint8Array(t);else if(e==="string")n=new Array(t);else throw new Error(`Unknown data type ${e}`);return n}function GI(e,t){for(let n=0;nt+=n.length),t}function ts(e){return typeof e=="string"||e instanceof String}function jI(e){return typeof e=="boolean"}function KI(e){return typeof e=="number"}function om(e){return Array.isArray(e)?om(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":KI(e)?"float32":ts(e)?"string":jI(e)?"bool":"float32"}function ls(e){return!!(e&&e.constructor&&e.call&&e.apply)}function Eh(e,t){for(let n=t;n=0;--a)n[a]=n[a+1]*e[a+1];return n}function XI(e,t,n,a=!1){let r=new Array;if(t.length===1){let s=t[0]*(a?2:1);for(let i=0;il*u)*(a?2:1);for(let l=0;lr*s)*(n?2:1);if(a===0)return[];if(a!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${n?" for a complex tensor":""}.`);return XI(0,e,t,n)}function YF(e,t){if(Array.isArray(e))return e;if(t==="float32")return e instanceof Float32Array?e:new Float32Array(e);if(t==="int32")return e instanceof Int32Array?e:new Int32Array(e);if(t==="bool"||t==="string")return Uint8Array.from(new Int32Array(e));throw new Error(`Unknown dtype ${t}`)}function Nx(e,t){let n=lm(e,t);for(let a=0;aa*r,1);if(t==null||t==="float32")return pl(e,new Float32Array(n));if(t==="int32")return pl(e,new Int32Array(n));if(t==="bool")return pl(e,new Uint8Array(n));throw new Error(`Unknown data type ${t}`)}function aa(e){e.forEach(t=>{A(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function JF(e,t,n){if(t===0)return 0;if(t===1)return e[0];let a=e[e.length-1];for(let r=0;r{let[n,a]=t.split(":");this.urlFlags[n]=nR(n,a)})}};function eR(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(n,...a)=>(tR(t,a[0],a[1]),a.join("="))),t}function tR(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function nR(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function H(){return Cx}var Cx=null;function aR(e){Cx=e}var pb;function ZI(){if(pb==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");pb=e}return pb}function rR(){let e=ZI();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function _x(e,t){let n=rR();if(n.has(e))return n.get(e);{let a=t();return n.set(e,a),n.get(e)}}var Rl="Abs",Dl="Acos",Ml="Acosh",vs="Add",bi="AddN",Pl="All",Ol="Any",xi="ArgMax",pc="ArgMin",Ll="Asin",zl="Asinh",Wl="Atan",Bl="Atanh",Vl="Atan2",vi="AvgPool",pm="AvgPoolGrad",cc="AvgPool3D",cm="AvgPool3DGrad",wi="BatchMatMul",Ul="BatchToSpaceND",dm="Bincount",JI="BroadcastTo",hm="BroadcastArgs",ki="Cast",Ii="Ceil",ws="ClipByValue",mm="Complex",dc="ComplexAbs",Gl="Concat",Si="Conv2D",fm="Conv2DBackpropFilter",Ti="Conv2DBackpropInput",hc="Conv3D",gm="Conv3DBackpropFilterV2",ym="Conv3DBackpropInputV2",Ni="Cos",Ci="Cosh",Hl="Cumprod",_i="Cumsum",ql="CropAndResize",bm="DenseBincount",jl="DepthToSpace",Ei="DepthwiseConv2dNative",xm="DepthwiseConv2dNativeBackpropFilter",vm="DepthwiseConv2dNativeBackpropInput",wm="Diag",mc="Dilation2D",Ah="Dilation2DBackpropInput",$h="Dilation2DBackpropFilter",Ai="RealDiv",km="Einsum",$i="Elu",Im="EluGrad",Kl="Erf",Xl="Equal",Fi="Exp",Yl="ExpandDims",Zl="Expm1",Sm="FFT",fc="Fill",Jl="FlipLeftRight",Ri="Floor",Di="FloorDiv",Mi="FusedBatchNorm",Ql="GatherV2",eu="GatherNd",tu="Greater",Pi="GreaterEqual",Oi="Identity",Tm="IFFT",Nm="Imag",nu="IsFinite",au="IsInf",Li="IsNan",zi="LeakyRelu",ru="Less",su="LessEqual",Cm="LinSpace",Wi="Log",iu="Log1p",ou="LogicalAnd",lu="LogicalNot",uu="LogicalOr",QI="LogicalXor",eS="LogSoftmax",sR="LowerBound",gc="LRN",_m="LRNGrad",Bi="Max",Vi="Maximum",Ui="MaxPool",Em="MaxPoolGrad",yc="MaxPool3D",Am="MaxPool3DGrad",$m="MaxPoolWithArgmax",Gi="Mean",Hi="Min",qi="Minimum",ji="MirrorPad",pu="Mod",Fm="Multinomial",Ki="Multiply",cu="Neg",du="NotEqual",hu="NonMaxSuppressionV3",mu="NonMaxSuppressionV4",fu="NonMaxSuppressionV5",gu="OnesLike",Xi="OneHot",yu="Pack",Yi="PadV2",iR="Pool",Zi="Pow",Ji="Prelu",Qi="Prod",Rm="RaggedGather",Dm="RaggedRange",Mm="RaggedTensorToTensor",bc="Range",Pm="Real",eo="Reciprocal",to="Relu",bu="Reshape",no="ResizeNearestNeighbor",Om="ResizeNearestNeighborGrad",ao="ResizeBilinear",Lm="ResizeBilinearGrad",ro="Relu6",so="Reverse",io="Round",oo="Rsqrt",xu="ScatterNd",zm="SearchSorted",vu="Select",wu="Selu",ku="Slice",lo="Sin",Iu="Sinh",Su="Sign",uo="Sigmoid",Tu="Softplus",po="Sqrt",co="Sum",Nu="SpaceToBatchND",Cu="SplitV",ho="Softmax",xc="SparseFillEmptyRows",_u="SparseReshape",vc="SparseSegmentMean",wc="SparseSegmentSum",Wm="SparseToDense",mo="SquaredDifference",kc="Square",Eu="StridedSlice",Ic="StringNGrams",Sc="StringSplit",Tc="StringToHashBucketFast",fo="Sub",go="Tan",yo="Tanh",ks="Tile",Au="TopK",$u="Transform",Ar="Transpose",Bm="Unique",Fu="Unpack",Nc="UnsortedSegmentSum",oR="UpperBound",Ru="ZerosLike",Is="Step",Fh="FromPixels",Du="RotateWithOffset",ei="_FusedMatMul",ti="FusedConv2D",ni="FusedDepthwiseConv2D";function es(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.warn(...e)}function lR(...e){H().getBool("IS_TEST")||H().getBool("PROD")||console.log(...e)}var fl=_x("kernelRegistry",()=>new Map),qp=_x("gradRegistry",()=>new Map);function Rh(e,t){let n=Ex(e,t);return fl.get(n)}function Nb(e){return qp.get(e)}function Dh(e){let t=fl.entries(),n=[];for(;;){let{done:a,value:r}=t.next();if(a)break;let[s,i]=r,[o]=s.split("_");o===e&&n.push(i)}return n}function Cc(e){let{kernelName:t,backendName:n}=e,a=Ex(t,n);fl.has(a)&&es(`The kernel '${t}' for backend '${n}' is already registered`),fl.set(a,e)}function tS(e){let{kernelName:t}=e;qp.has(t)&&H().getBool("DEBUG")&&es(`Overriding the gradient for '${t}'`),qp.set(t,e)}function uR(e,t){let n=Ex(e,t);if(!fl.has(n))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);fl.delete(n)}function pR(e){if(!qp.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);qp.delete(e)}function cR(e,t){Dh(e).forEach(n=>{let a=Object.assign({},n,{backendName:t});Cc(a)})}function Ex(e,t){return`${t}_${e}`}var v={};Ae(v,{arraysEqual:()=>xs,assert:()=>A,assertNonNegativeIntegerDimensions:()=>aa,assertNonNull:()=>yi,assertShapesMatch:()=>Tn,bytesFromStringArray:()=>qI,bytesPerElement:()=>_h,checkConversionForErrors:()=>GI,clamp:()=>Hp,computeStrides:()=>Fl,convertBackendValuesAndArrayBuffer:()=>YF,createScalarValue:()=>yR,createShuffledIndices:()=>qF,decodeString:()=>Mh,distSquared:()=>VF,encodeString:()=>Ec,fetch:()=>xR,fingerPrint64:()=>gR,flatten:()=>us,getArrayFromDType:()=>UI,getTypedArrayFromDType:()=>VI,hasEncodingLoss:()=>XF,hexToLong:()=>_c,indexToLoc:()=>QF,inferDtype:()=>om,inferFromImplicitShape:()=>KF,isBoolean:()=>jI,isFunction:()=>ls,isInt:()=>ml,isNumber:()=>KI,isPromise:()=>um,isScalarShape:()=>UF,isString:()=>ts,isTypedArray:()=>un,isValidDtype:()=>HI,locToIndex:()=>JF,makeOnesTypedArray:()=>Nx,makeZerosNestedTypedArray:()=>ZF,makeZerosTypedArray:()=>lm,nearestDivisor:()=>Eh,nearestLargerEven:()=>zF,now:()=>jp,parseAxisParam:()=>Da,randUniform:()=>BF,repeatedTry:()=>jF,rightPad:()=>Bp,shuffle:()=>WI,shuffleCombo:()=>LF,sizeFromShape:()=>mt,sizeToSquarishShape:()=>HF,squeezeShape:()=>BI,sum:()=>WF,swap:()=>Ch,tanh:()=>GF,toNestedArray:()=>pl,toTypedArray:()=>Vm});var sk=bs(wF()),Hs=sk.default||sk;function _c(e){return Hs.fromString(e,!0,16)}var nS=_c("c3a5c85c97cb3127"),Us=_c("b492b66fbe98f273"),vn=_c("9ae16a3b2f90404f");function Cb(e){return e.xor(e.shru(47))}function aS(e,t,n){let a=e.slice(t,t+n);return Hs.fromBytes(Array.from(a),!0,!0)}function ht(e,t){return aS(e,t,8)}function ik(e,t){return aS(e,t,4)}function Jt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function ss(e,t,n=_c("9ddfea08eb382d69")){let a=e.xor(t).mul(n);a=a.xor(a.shru(47));let r=t.xor(a).mul(n);return r=r.xor(r.shru(47)),r=r.mul(n),r}function dR(e,t,n,a,r,s){r=r.add(e),s=Jt(s.add(r).add(a),21);let i=r;return r=r.add(t),r=r.add(n),s=s.add(Jt(r,44)),[r.add(a),s.add(i)]}function sh(e,t,n,a){return dR(ht(e,t),ht(e,t+8),ht(e,t+16),ht(e,t+24),n,a)}function hR(e,t=e.length){if(t>=8){let n=vn.add(t*2),a=ht(e,0).add(vn),r=ht(e,t-8),s=Jt(r,37).mul(n).add(a),i=Jt(a,25).add(r).mul(n);return ss(s,i,n)}if(t>=4){let n=vn.add(t*2),a=ik(e,0);return ss(a.shl(3).add(t),ik(e,t-4),n)}if(t>0){let n=e[0],a=e[t>>1],r=e[t-1],s=n+(a<<8),i=t+(r<<2);return Cb(vn.mul(s).xor(nS.mul(i))).mul(vn)}return vn}function mR(e,t=e.length){let n=vn.add(t*2),a=ht(e,0).mul(Us),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(vn);return ss(Jt(a.add(r),43).add(Jt(s,30)).add(i),a.add(Jt(r.add(vn),18)).add(s),n)}function fR(e,t=e.length){let n=vn.add(t*2),a=ht(e,0).mul(vn),r=ht(e,8),s=ht(e,t-8).mul(n),i=ht(e,t-16).mul(vn),o=Jt(a.add(r),43).add(Jt(s,30)).add(i),l=ss(o,a.add(Jt(r.add(vn),18)).add(s),n),u=ht(e,16).mul(n),p=ht(e,24),d=o.add(ht(e,t-32)).mul(n),c=l.add(ht(e,t-24)).mul(n);return ss(Jt(u.add(p),43).add(Jt(d,30)).add(c),u.add(Jt(p.add(a),18)).add(d),n)}function gR(e,t=e.length){let n=Hs.fromNumber(81,!0);if(t<=32)return t<=16?hR(e,t):mR(e,t);if(t<=64)return fR(e,t);let a=n,r=n.mul(Us).add(113),s=Cb(r.mul(vn).add(113)).mul(vn),i=[Hs.UZERO,Hs.UZERO],o=[Hs.UZERO,Hs.UZERO];a=a.mul(vn).add(ht(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do a=Jt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(Us),r=Jt(r.add(i[1]).add(ht(e,l+48)),42).mul(Us),a=a.xor(o[1]),r=r.add(i[0]).add(ht(e,l+40)),s=Jt(s.add(o[0]),33).mul(Us),i=sh(e,l,i[1].mul(Us),a.add(o[0])),o=sh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],l+=64;while(l!==u);let d=Us.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),a=Jt(a.add(r).add(i[0]).add(ht(e,l+8)),37).mul(d),r=Jt(r.add(i[1]).add(ht(e,l+48)),42).mul(d),a=a.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ht(e,l+40))),s=Jt(s.add(o[0]),33).mul(d),i=sh(e,l,i[1].mul(d),a.add(o[0])),o=sh(e,l+32,s.add(o[1]),r.add(ht(e,l+16))),[s,a]=[a,s],ss(ss(i[0],o[0],d).add(Cb(r).mul(nS)).add(s),ss(i[1],o[1],d).add(a),d)}function yR(e,t){return t==="string"?Ec(e):Vm([e],t)}function bR(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Vm(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=us(e)),H().getBool("DEBUG")&&GI(e,t),bR(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let n=new Uint8Array(e.length);for(let a=0;a{a=n()},s,i=jp();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of a)o.dataSync();s=Promise.resolve({kernelMs:jp()-i})}if(H().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{wR(u,l.dtype,e)})}return{kernelName:e,outputs:a,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:n,timeMs:a,inputs:r,extraInfo:s}=e;n.forEach(i=>{Promise.all([i.data(),a,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function wR(e,t,n){if(t!=="float32")return!1;for(let a=0;a0?m:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${d} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function IR(e,t,n){let a={},r={};for(let l=0;la[f.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[n.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let d=0;d=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=n(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!xs(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let d=e[p.id];e[p.id]=a(d,u),d.dispose()}}}}var ok=20,Np=3,cb=7;function TR(e,t,n,a){let r=Fl(t),s=NR(e,t,n,r),i=t.length,o=bh(e,t,n,r,s),l=["Tensor"];return a&&(l.push(` dtype: ${n}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` `)),l.join(` `)}function NR(e,t,n,a){let r=mt(t),s=a[a.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Fp(e):e;if(o>1)for(let u=0;uok){let f=Np*i,g=Array.from(e.slice(0,f)),y=Array.from(e.slice((o-Np)*i,o*i));return n==="complex64"&&(g=Fp(g),y=Fp(y)),["["+g.map((b,x)=>$p(b,r[x],n)).join(", ")+", ..., "+y.map((b,x)=>$p(b,r[o-Np+x],n)).join(", ")+"]"]}return["["+(n==="complex64"?Fp(e):Array.from(e)).map((f,g)=>$p(f,r[g],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>ok){for(let f=0;f0?c[0]+h:"");for(let f=1;f`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||UI(t,this.size),this.strides=Fl(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;aMh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Wa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Wa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Mh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Wa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Wa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return ol.print(this,e)}clone(){return this.throwIfDisposed(),ol.clone(this)}toString(e=!1){let t=this.dataSync();return TR(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),ol.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Wa().makeVariable(this,e,t,n)}};Object.defineProperty(Ne,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return _x("Tensor",()=>Ne)}Q();var ps=class extends Ne{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!xs(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Wa().disposeTensor(this),this.dataId=e.dataId,Wa().incRef(this,null)}dispose(){Wa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ps,Symbol.hasInstance,{value:e=>e instanceof Ne&&e.assign!=null&&e.assign instanceof Function});var Ua={};Ae(Ua,{assertTypesMatch:()=>sS,getTensorsInContainer:()=>Ax,isTensorInList:()=>FR,makeTypesMatch:()=>Et});var _b;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(_b||(_b={}));var Eb;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(Eb||(Eb={}));var Ab;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(Ab||(Ab={}));var $b;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})($b||($b={}));var Fb;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Fb||(Fb={}));var $R={float32:$b,int32:Eb,bool:Ab,complex64:Fb};function fa(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return $R[e][t]}function Um(e){return fa(e,"int32")}function Et(e,t){if(e.dtype===t.dtype)return[e,t];let n=fa(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function sS(e,t){A(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function FR(e,t){return t.some(n=>n.id===e.id)}function Ax(e){let t=[];return iS(e,t,new Set),t}function iS(e,t,n){if(e==null)return;if(e instanceof Ne){t.push(e);return}if(!RR(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),iS(s,t,n))}}function RR(e){return Array.isArray(e)||typeof e=="object"}function db(e){return e.kernelName!=null}var lk=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Kp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new lk}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Dh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof uc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Kp.nextTensorId++}nextVariableId(){return Kp.nextVariableId++}clone(e){let t=O.runKernel(Oi,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(ki,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,Rh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=db(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(db(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=Rh(h,this.backendName);A(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let b=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,b);let x=b.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{!a||(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=db(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=Nb(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?(A(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&ts(e[0])&&(r=e.map(o=>Ec(o)));let s=a.write(r,t,n),i=new Ne(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=qI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Ne(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ps(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*_h(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ps||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*_h(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=Nb(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=lm(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Ax(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if(A(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));A(r instanceof Ne,()=>"The result y returned by f() must be a tensor.");let s=IR(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?DR(r.shape):n,SR(i,s,l=>this.tidy(l),MR);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return A(ls(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{A(t.every(i=>i instanceof Ne),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),A(n.value instanceof Ne,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),A(ls(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];A(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),A(u.every(d=>d instanceof Ne),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=jp(),n=await this.backend.time(e);return n.wallMs=jp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new lk;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Kp.nextTensorId=0;Kp.nextVariableId=0;function DR(e){let t=Nx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function oS(){let e=ZI();if(e._tfengine==null){let t=new YI(e);e._tfengine=new Kp(t)}return aR(e._tfengine.ENV),_R(()=>e._tfengine),e._tfengine}var O=oS();function MR(e,t){let n={a:e,b:t};return O.runKernel(vs,n)}var Ac={};Ae(Ac,{isBrowser:()=>lS,isMobile:()=>LR,mockIsMobile:()=>OR});function PR(){return typeof navigator!="undefined"&&navigator!=null}var Rb;function OR(e){Rb=e}function LR(e){if(Rb!==void 0)return Rb;if(e||PR()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function lS(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var ga=H();ga.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});ga.registerFlag("IS_BROWSER",()=>lS());ga.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");ga.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));ga.registerFlag("PROD",()=>!1);ga.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>ga.getBool("DEBUG"));ga.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);ga.registerFlag("IS_TEST",()=>!1);ga.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);ga.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);ga.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);ga.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function pr(e,t){let n=e;if(un(e))return t==="string"?[]:[e.length];if(typeof e=="object"){if("texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(t==null?4:_h(t))]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||un(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&uS(e,a,[]),a}function uS(e,t,n){if(n=n||[],!Array.isArray(e)&&!un(e)){A(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}A(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),A(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),uk(a,r,t,n),e==null||!un(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=pr(e,r);!un(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Vm(e,r):us(e,[],!0);return O.makeTensor(i,s,r)}function Xp(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var $x="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+$x;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return um(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function zR(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Tn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(mm,r)}var Fr=L({complex_:zR});function Ss(e,t,n,a){if(a==null)a=om(e);else if(a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return O.backend.createTensorFromGPUData(e,t||n,a)}if(!un(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){aa(t);let r=mt(t),s=mt(n);A(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!un(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Vm(e,a):us(e,[],!0),O.makeTensor(e,t,a)}function fn(e,t,n){let a=pr(e,n);return Ss(e,t,a,n)}var Db={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},Ph=4;async function WR(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,y)=>g+y.length,0)+Ph*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Fx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function pk(e){return Fx?Buffer.byteLength(e):new Blob([e]).size}function VR(e){if(Fx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function ck(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function cS(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function dS(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Dx(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),dS(e,n,a)}function $c(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:pk(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:pk(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function hS(e){let t=[];for(let n of e)t.push(...n.weights);return t}function GR(){let e=n=>{let a=n<<13,r=0;for(;(a&8388608)===0;)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function HR(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function qR(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function jR(){let e=GR(),t=HR(),n=qR();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var $t=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return $t.instance==null&&($t.instance=new $t),$t.instance}static registerSaveRouter(e){$t.getInstance().saveRouters.push(e)}static registerLoadRouter(e){$t.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return $t.getHandlers(e,"save")}static getLoadHandlers(e,t){return $t.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?$t.getInstance().loadRouters:$t.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},KR=e=>$t.registerSaveRouter(e),XR=e=>$t.registerLoadRouter(e),YR=e=>$t.getSaveHandlers(e),ZR=(e,t)=>$t.getLoadHandlers(e,t),Mb="tensorflowjs",Pb=1,Xs="models_store",ns="model_info_store";function mS(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Ob(e){let t=e.result;t.createObjectStore(Xs,{keyPath:"modelPath"}),t.createObjectStore(ns,{keyPath:"modelPath"})}var ai=class{constructor(e){if(this.indexedDB=mS(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Mb,Pb);r.onupgradeneeded=()=>Ob(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Xs,"readonly"),o=i.objectStore(Xs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=$c(t),o=s.transaction(ns,"readwrite"),l=o.objectStore(ns),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Xs,"readwrite");let d=p.objectStore(Xs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(ns);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ai.URL_SCHEME="indexeddb://";var fS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?JR(e.slice(ai.URL_SCHEME.length)):null;$t.registerSaveRouter(fS);$t.registerLoadRouter(fS);function JR(e){return new ai(e)}function QR(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var eD=class{constructor(){this.indexedDB=mS()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Mb,Pb);n.onupgradeneeded=()=>Ob(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(ns,"readonly"),s=r.objectStore(ns).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=QR(e),new Promise((t,n)=>{let a=this.indexedDB.open(Mb,Pb);a.onupgradeneeded=()=>Ob(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(ns,"readwrite"),i=s.objectStore(ns),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Xs,"readwrite");let d=l.objectStore(Xs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Er="/",ll="tensorflowjs_models",gS="info",tD="model_topology",nD="weight_specs",aD="weight_data",rD="model_metadata";function yS(e){return{info:[ll,e,gS].join(Er),topology:[ll,e,tD].join(Er),weightSpecs:[ll,e,nD].join(Er),weightData:[ll,e,aD].join(Er),modelMetadata:[ll,e,rD].join(Er)}}function bS(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function sD(e){let t=e.split(Er);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Er)}function iD(e){return e.startsWith(ri.URL_SCHEME)?e.slice(ri.URL_SCHEME.length):e}var ri=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=yS(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=$c(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,VR(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw bS(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=UR(s),t}};ri.URL_SCHEME="localstorage://";var xS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ri.URL_SCHEME)?oD(e.slice(ri.URL_SCHEME.length)):null;$t.registerSaveRouter(xS);$t.registerLoadRouter(xS);function oD(e){return new ri(e)}var lD=class{constructor(){A(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),A(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=ll+Er,n=Er+gS;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(cl)&&(e=e.slice(0,e.indexOf(cl))),A(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();A(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function xh(e){if(e.indexOf(cl)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(cl)[0],path:e.split(cl)[1]}}async function vS(e,t,n=!1){A(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=$t.getLoadHandlers(e);A(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),A(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=$t.getSaveHandlers(t);A(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),A(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=xh(e).scheme,l=xh(e).path,u=o===xh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function uD(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+cl+r;t[s]=a[r]}}return t}async function pD(e){let t=xh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function cD(e,t){return vS(e,t,!1)}async function dD(e,t){return vS(e,t,!0)}var hD=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new hD);try{Pn.registerManager(ri.URL_SCHEME,new lD)}catch(e){}try{Pn.registerManager(ai.URL_SCHEME,new eD)}catch(e){}}var mD={importFetch:()=>kF()},hb,fD=class{constructor(){this.util=IF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(hb==null&&(hb=mD.importFetch()),hb(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new fD);function ze(e,t="float32",n){return t=t||"float32",aa(e),new jt(e,t,n)}function gD(e,t){let n=_(e,"x","cast");if(!HI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(ki,a,r)}var ie=L({cast_:gD});function yD(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Oi,t)}var or=L({clone_:yD});function Mx(e,t=!1){console.log(e.toString(t))}oS();var bD={buffer:ze,cast:ie,clone:or,print:Mx};ER(bD);function xD(){H().set("PROD",!0)}function vD(){H().set("DEBUG",!0)}function wD(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Px(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}AR(Px);function kD(){O.disposeVariables()}function Ea(){return O}function Oh(){return O.memory()}function ID(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){Ax(e).forEach(t=>t.dispose())}function Gt(e){return O.keep(e)}function SD(e){return O.time(e)}function TD(e){return O.setBackend(e)}function ND(){return O.ready()}function CD(){return O.backendName}function _D(e){O.removeBackend(e)}function ED(e){return O.findBackend(e)}function AD(e){return O.findBackendFactory(e)}function Gm(e,t,n=1){return O.registerBackend(e,t,n)}function wS(){return O.backend}function $D(e,t){H().setPlatform(e,t)}function FD(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(vs,r)}var X=L({add_:FD});function RD(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Di,r)}var Hm=L({floorDiv_:RD});function DD(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=Et(n,a),n.dtype==="int32"&&a.dtype==="int32")return Hm(n,a);let r={a:n,b:a},s={};return O.runKernel(Ai,r,s)}var he=L({div_:DD});function MD(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ki,r)}var z=L({mul_:MD});function PD(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(dc,n)}else{let n={x:t};return O.runKernel(Rl,n)}}var Lt=L({abs_:PD});function OD(e){let t={x:_(e,"x","acos")};return O.runKernel(Dl,t)}var Ox=L({acos_:OD});function LD(e){let t={x:_(e,"x","acosh")};return O.runKernel(Ml,t)}var Lx=L({acosh_:LD});function zD(e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!xs(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(bi,a)}var kS=L({addN_:zD});function WD(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Pl,a,r)}var qm=L({all_:WD});function BD(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Ol,a,r)}var Yp=L({any_:BD});function VD(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(xi,n,a)}var si=L({argMax_:VD});function UD(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(pc,n,a)}var zx=L({argMin_:UD});function GD(e){let t={x:_(e,"x","asin")};return O.runKernel(Ll,t)}var Wx=L({asin_:GD});function HD(e){let t={x:_(e,"x","asinh")};return O.runKernel(zl,t)}var Bx=L({asinh_:HD});function qD(e){let t={x:_(e,"x","atan")};return O.runKernel(Wl,t)}var Vx=L({atan_:qD});function jD(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Vl,r)}var Ux=L({atan2_:jD});function KD(e){let t={x:_(e,"x","atanh")};return O.runKernel(Bl,t)}var Gx=L({atanh_:KD});function XD(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=TS(r);return Fc(e,o,n,s,a,null,null,l)}function IS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Zp(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Fc(e,u,n,a,r,s,!1,i)}function YD(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Lb(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return SS(e,p,n,a,r,!1,d,s)}function Fc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Zp(n),[y,b]=Zp(a),x=dl(c,y),w=dl(h,b),{padInfo:I,outHeight:T,outWidth:C}=QD(r,u,p,f,g,x,w,s,o),E=i?m*d:m,$;return o==="channelsFirst"?$=[l,E,T,C]:o==="channelsLast"&&($=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:y,dilationWidth:b,inShape:e,outShape:$,filterShape:t}}function SS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[y,b,x]=Lb(n),[w,I,T]=Lb(a),C=dl(h,w),E=dl(m,I),$=dl(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=eM(r,u,p,d,y,b,x,C,E,$,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:y,strideHeight:b,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:$,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function ZD(e,t,n,a,r){a==null&&(a=Hx(e,t,n));let s=e[0],i=e[1],o=Jp((s-t+2*a)/n+1,r),l=Jp((i-t+2*a)/n+1,r);return[o,l]}function JD(e,t,n,a,r,s){r==null&&(r=Hx(e,t[0],a[0]));let i=[0,0,0,n];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=Jp((e[o]-t[o]+2*r)/a[o]+1,s));return i}function Hx(e,t,n,a=1){let r=dl(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Zp(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Lb(e){return typeof e=="number"?[e,e,e]:e}function dl(e,t){return t<=1?e:e+(e-1)*(t-1)}function QD(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=ZD([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),y=h-g;u={top:m,bottom:f,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=Jp((t-s+c+h)/a+1,o),d=Jp((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function eM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(e==="valid"&&(e=0),typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=JD([t,n,a,1],[o,l,u],1,[r,s,i],e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,y=(m-1)*i+u-a,b=Math.floor(f/2),x=f-b,w=Math.floor(g/2),I=g-w,T=Math.floor(y/2),C=y-T;d={top:w,bottom:I,left:T,right:C,front:b,back:x,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function Jp(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function cs(e){let[t,n,a]=Zp(e);return t===1&&n===1&&a===1}function hr(e,t){return cs(e)||cs(t)}function ii(e){return Zp(e).every(t=>t>0)}function TS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Nn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")A(ml(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{A(ml(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function tM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(bu,n,a)}var W=L({reshape_:tM});function nM(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;A(hr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Nn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(vi,u,p);return d=ie(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ba=L({avgPool_:nM});function aM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),A(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),A(typeof n=="number"&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${n}'`),Nn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(cc,u,p);return d=ie(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var qx=L({avgPool3d_:aM});function rM(e,t=0){A(e.length>=1,()=>"Pass at least one tensor to concat");let n=Xp(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor +`;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function Fp(e){let t=[];for(let n=0;n`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||UI(t,this.size),this.strides=Fl(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;aMh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Wa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Wa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Mh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Wa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Wa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return ol.print(this,e)}clone(){return this.throwIfDisposed(),ol.clone(this)}toString(e=!1){let t=this.dataSync();return TR(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),ol.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Wa().makeVariable(this,e,t,n)}};Object.defineProperty(Ne,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return _x("Tensor",()=>Ne)}Q();var ps=class extends Ne{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!xs(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Wa().disposeTensor(this),this.dataId=e.dataId,Wa().incRef(this,null)}dispose(){Wa().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ps,Symbol.hasInstance,{value:e=>e instanceof Ne&&e.assign!=null&&e.assign instanceof Function});var Ua={};Ae(Ua,{assertTypesMatch:()=>sS,getTensorsInContainer:()=>Ax,isTensorInList:()=>FR,makeTypesMatch:()=>Et});var _b;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(_b||(_b={}));var Eb;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(Eb||(Eb={}));var Ab;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(Ab||(Ab={}));var $b;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})($b||($b={}));var Fb;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Fb||(Fb={}));var $R={float32:$b,int32:Eb,bool:Ab,complex64:Fb};function fa(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return $R[e][t]}function Um(e){return fa(e,"int32")}function Et(e,t){if(e.dtype===t.dtype)return[e,t];let n=fa(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function sS(e,t){A(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function FR(e,t){return t.some(n=>n.id===e.id)}function Ax(e){let t=[];return iS(e,t,new Set),t}function iS(e,t,n){if(e==null)return;if(e instanceof Ne){t.push(e);return}if(!RR(e))return;let a=e;for(let r in a){let s=a[r];n.has(s)||(n.add(s),iS(s,t,n))}}function RR(e){return Array.isArray(e)||typeof e=="object"}function db(e){return e.kernelName!=null}var lk=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Kp=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new lk}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Dh(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof uc)&&typeof n.then=="function"){let a=++this.pendingBackendInitId,r=n.then(s=>a(athis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(n),()=>this.endScope(a),()=>(a=t(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a))}scopedRun(e,t,n){e();try{let a=n();return t(),a}catch(a){throw t(),a}}nextTensorId(){return Kp.nextTensorId++}nextVariableId(){return Kp.nextVariableId++}clone(e){let t=O.runKernel(Oi,{x:e}),n={x:e},a=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return O.runKernel(ki,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,n,[t],a,r,{}),t}runKernel(e,t,n){if(this.backendName==null&&this.backend,Rh(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let a=this.backend.numDataIds(),r=0;n.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=a-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],a=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=db(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(db(e)){let{kernelName:h,inputs:m,attrs:f}=e;this.backendName==null&&this.backend;let g=Rh(h,this.backendName);A(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:m,attrs:f,backend:this.backend});let b=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,b);let x=b.map(w=>w.rank!=null?w:this.makeTensorFromTensorInfo(w));if(a){let w=this.getTensorsForGradient(h,m,x);n=this.saveTensorsForBackwardMode(w)}return x}}else{let{forwardFunc:h}=e,m=f=>{a&&(n=f.map(g=>this.keep(this.clone(g))))};i=()=>{let f=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,m));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,f,g),g}}let{inputs:u,attrs:p}=e,d=db(e)?null:e.backwardsFunc,c;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(c=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(c),t=c.outputs)}),a&&this.addTapeNode(l,u,t,d,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:c.timeMs,extraInfo:c.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,n){let a=Nb(e);if(a!=null){let r=a.inputsToSave||[],s=a.outputsToSave||[],i;a.saveAllInputs?(A(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=n.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,n,a){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",a=a||this.backend;let r=e;n==="string"&&ts(e[0])&&(r=e.map(o=>Ec(o)));let s=a.write(r,t,n),i=new Ne(t,n,s,this.nextTensorId());if(this.trackTensor(i,a),n==="string"){let o=this.state.tensorInfo.get(s),l=qI(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,n,a){n=n||"float32";let r={dataId:e,shape:t,dtype:n};return this.makeTensorFromTensorInfo(r,a)}makeTensorFromTensorInfo(e,t){let{dataId:n,shape:a,dtype:r}=e,s=new Ne(a,r,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,a){n=n||this.nextVariableId().toString(),a!=null&&a!==e.dtype&&(e=e.cast(a));let r=new ps(e,t,n,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let n=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(n=e.size*_h(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof ps||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let n=e.size*_h(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(a=>a.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let a of this.state.activeProfile.kernels)a.kernelTimeMs=await a.kernelTimeMs,a.extraInfo=await a.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,n,a,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:r},o=Nb(e);o!=null&&(a=o.gradFunc),a!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let d=n[p],c=lm(d.size,d.dtype);return this.makeTensor(c,d.shape,d.dtype)}return u}),a(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Ax(e),n=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===a.id&&this.track(r)})}gradients(e,t,n,a=!1){if(A(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));A(r instanceof Ne,()=>"The result y returned by f() must be a tensor.");let s=IR(this.state.activeTape,t,r);if(!a&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=n==null?DR(r.shape):n,SR(i,s,l=>this.tidy(l),MR);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return A(ls(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{A(t.every(i=>i instanceof Ne),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,a={};t.forEach((i,o)=>{a[o]=i});let r=(i,o)=>(n=e(...t,o),A(n.value instanceof Ne,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),A(ls(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),s=(i,o)=>{let l=n.gradFunc(i,o),u=Array.isArray(l)?l:[l];A(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),A(u.every(d=>d instanceof Ne),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((d,c)=>{p[c]=()=>d}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:a})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=jp(),n=await this.backend.time(e);return n.wallMs=jp()-t,n}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new lk;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Kp.nextTensorId=0;Kp.nextVariableId=0;function DR(e){let t=Nx(mt(e),"float32");return O.makeTensor(t,e,"float32")}function oS(){let e=ZI();if(e._tfengine==null){let t=new YI(e);e._tfengine=new Kp(t)}return aR(e._tfengine.ENV),_R(()=>e._tfengine),e._tfengine}var O=oS();function MR(e,t){let n={a:e,b:t};return O.runKernel(vs,n)}var Ac={};Ae(Ac,{isBrowser:()=>lS,isMobile:()=>LR,mockIsMobile:()=>OR});function PR(){return typeof navigator!="undefined"&&navigator!=null}var Rb;function OR(e){Rb=e}function LR(e){if(Rb!==void 0)return Rb;if(e||PR()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function lS(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var ga=H();ga.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});ga.registerFlag("IS_BROWSER",()=>lS());ga.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");ga.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));ga.registerFlag("PROD",()=>!1);ga.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>ga.getBool("DEBUG"));ga.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);ga.registerFlag("IS_TEST",()=>!1);ga.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);ga.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);ga.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);ga.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function pr(e,t){let n=e;if(un(e))return t==="string"?[]:[e.length];if(typeof e=="object"){if("texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(t==null?4:_h(t))]}if(!Array.isArray(e))return[];let a=[];for(;Array.isArray(n)||un(n)&&t!=="string";)a.push(n.length),n=n[0];return Array.isArray(e)&&H().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&uS(e,a,[]),a}function uS(e,t,n){if(n=n||[],!Array.isArray(e)&&!un(e)){A(t.length===0,()=>`Element arr[${n.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}A(t.length>0,()=>`Element arr[${n.join("][")}] should be a primitive, but is an array of ${e.length} elements`),A(e.length===t[0],()=>`Element arr[${n.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let a=t.slice(1);for(let r=0;r=0&&(r=a),uk(a,r,t,n),e==null||!un(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${n}' must be a Tensor or TensorLike, but got '${o}'`)}let s=pr(e,r);!un(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Vm(e,r):us(e,[],!0);return O.makeTensor(i,s,r)}function Xp(e,t,n,a="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>_(r,`${t}[${s}]`,n,a))}var $x="__op";function L(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let n=t[0],a=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n=n+$x;let r=(...s)=>{O.startScope(n);try{let i=a(...s);return um(i)&&console.error("Cannot return a Promise inside of tidy."),O.endScope(i),i}catch(i){throw O.endScope(null),i}};return Object.defineProperty(r,"name",{value:n,configurable:!0}),r}function zR(e,t){let n=_(e,"real","complex"),a=_(t,"imag","complex");Tn(n.shape,a.shape,`real and imag shapes, ${n.shape} and ${a.shape}, must match in call to tf.complex().`);let r={real:n,imag:a};return O.runKernel(mm,r)}var Fr=L({complex_:zR});function Ss(e,t,n,a){if(a==null)a=om(e);else if(a==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if(a!=="float32"&&a!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${a}.`);return O.backend.createTensorFromGPUData(e,t||n,a)}if(!un(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){aa(t);let r=mt(t),s=mt(n);A(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${t}). `)}}return!un(e)&&!Array.isArray(e)&&(e=[e]),t=t||n,e=a!=="string"?Vm(e,a):us(e,[],!0),O.makeTensor(e,t,a)}function fn(e,t,n){let a=pr(e,n);return Ss(e,t,a,n)}var Db={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},Ph=4;async function WR(e,t){let n=[],a=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let c=await l.bytes(),h=c.reduce((g,y)=>g+y.length,0)+Ph*c.length,m=new Uint8Array(h),f=0;for(let g=0;g{if(t+=s.byteLength,n.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let a=new Uint8Array(t),r=0;return n.forEach(s=>{a.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),a.buffer}var Fx=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function pk(e){return Fx?Buffer.byteLength(e):new Blob([e]).size}function VR(e){if(Fx)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),n="";for(let a=0,r=t.length;a{t+=r.byteLength});let n=new Uint8Array(t),a=0;return e.forEach(r=>{n.set(new Uint8Array(r),a),a+=r.byteLength}),n.buffer}function ck(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let n=e.split(t);return n[n.length-1]}function cS(e,t){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),n}function dS(e,t,n){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");a.weightSpecs=t,a.weightData=n}return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),a}async function Dx(e,t){let n,a;return e.weightsManifest!=null&&([n,a]=await t(e.weightsManifest)),dS(e,n,a)}function $c(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:pk(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:pk(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function hS(e){let t=[];for(let n of e)t.push(...n.weights);return t}function GR(){let e=n=>{let a=n<<13,r=0;for(;!(a&8388608);)r-=8388608,a<<=1;return a&=-8388609,r+=947912704,a|r},t=new Uint32Array(2048);t[0]=0;for(let n=1;n<1024;n++)t[n]=e(n);for(let n=1024;n<2048;n++)t[n]=939524096+(n-1024<<13);return t}function HR(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function qR(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function jR(){let e=GR(),t=HR(),n=qR();return a=>{let r=new ArrayBuffer(4*a.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var $t=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return $t.instance==null&&($t.instance=new $t),$t.instance}static registerSaveRouter(e){$t.getInstance().saveRouters.push(e)}static registerLoadRouter(e){$t.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return $t.getHandlers(e,"save")}static getLoadHandlers(e,t){return $t.getHandlers(e,"load",t)}static getHandlers(e,t,n){let a=[];return(t==="load"?$t.getInstance().loadRouters:$t.getInstance().saveRouters).forEach(r=>{let s=r(e,n);s!==null&&a.push(s)}),a}},KR=e=>$t.registerSaveRouter(e),XR=e=>$t.registerLoadRouter(e),YR=e=>$t.getSaveHandlers(e),ZR=(e,t)=>$t.getLoadHandlers(e,t),Mb="tensorflowjs",Pb=1,Xs="models_store",ns="model_info_store";function mS(){if(!H().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Ob(e){let t=e.result;t.createObjectStore(Xs,{keyPath:"modelPath"}),t.createObjectStore(ns,{keyPath:"modelPath"})}var ai=class{constructor(e){if(this.indexedDB=mS(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((n,a)=>{let r=this.indexedDB.open(Mb,Pb);r.onupgradeneeded=()=>Ob(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Xs,"readonly"),o=i.objectStore(Xs).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),a(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(o.result.modelArtifacts)},o.onerror=l=>(s.close(),a(o.error)),i.oncomplete=()=>s.close()}else{let i=$c(t),o=s.transaction(ns,"readwrite"),l=o.objectStore(ns),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Xs,"readwrite");let d=p.objectStore(Xs).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>n({modelArtifactsInfo:i}),d.onerror=c=>{l=o.objectStore(ns);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),a(d.error)),h.onerror=m=>(s.close(),a(d.error))}},u.onerror=d=>(s.close(),a(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>a(r.error)})}};ai.URL_SCHEME="indexeddb://";var fS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ai.URL_SCHEME)?JR(e.slice(ai.URL_SCHEME.length)):null;$t.registerSaveRouter(fS);$t.registerLoadRouter(fS);function JR(e){return new ai(e)}function QR(e){return e.startsWith(ai.URL_SCHEME)?e.slice(ai.URL_SCHEME.length):e}var eD=class{constructor(){this.indexedDB=mS()}async listModels(){return new Promise((e,t)=>{let n=this.indexedDB.open(Mb,Pb);n.onupgradeneeded=()=>Ob(n),n.onsuccess=()=>{let a=n.result,r=a.transaction(ns,"readonly"),s=r.objectStore(ns).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(a.close(),t(s.error)),r.oncomplete=()=>a.close()},n.onerror=a=>t(n.error)})}async removeModel(e){return e=QR(e),new Promise((t,n)=>{let a=this.indexedDB.open(Mb,Pb);a.onupgradeneeded=()=>Ob(a),a.onsuccess=()=>{let r=a.result,s=r.transaction(ns,"readwrite"),i=s.objectStore(ns),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),n(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Xs,"readwrite");let d=l.objectStore(Xs).delete(e);d.onsuccess=()=>t(o.result.modelArtifactsInfo),d.onerror=c=>n(o.error)};u.onsuccess=p,u.onerror=d=>(p(),r.close(),n(o.error))}},o.onerror=u=>(r.close(),n(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},a.onerror=r=>n(a.error)})}},Er="/",ll="tensorflowjs_models",gS="info",tD="model_topology",nD="weight_specs",aD="weight_data",rD="model_metadata";function yS(e){return{info:[ll,e,gS].join(Er),topology:[ll,e,tD].join(Er),weightSpecs:[ll,e,nD].join(Er),weightData:[ll,e,aD].join(Er),modelMetadata:[ll,e,rD].join(Er)}}function bS(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function sD(e){let t=e.split(Er);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(Er)}function iD(e){return e.startsWith(ri.URL_SCHEME)?e.slice(ri.URL_SCHEME.length):e}var ri=class{constructor(e){if(!H().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=yS(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),a=$c(e);try{this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,VR(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:a}}catch(r){throw bS(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${a.modelTopologyBytes}, weightSpecsBytes=${a.weightSpecsBytes}, weightDataBytes=${a.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=n;let a=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(a==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=a;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=UR(s),t}};ri.URL_SCHEME="localstorage://";var xS=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(ri.URL_SCHEME)?oD(e.slice(ri.URL_SCHEME.length)):null;$t.registerSaveRouter(xS);$t.registerLoadRouter(xS);function oD(e){return new ri(e)}var lD=class{constructor(){A(H().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),A(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=ll+Er,n=Er+gS;for(let a=0;a"scheme must not be undefined or null."),e.endsWith(cl)&&(e=e.slice(0,e.indexOf(cl))),A(e.length>0,()=>"scheme must not be an empty string.");let n=Pn.getInstance();A(n.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),n.managers[e]=t}static getManager(e){let t=Pn.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Pn.getInstance().managers)}};function xh(e){if(e.indexOf(cl)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Pn.getSchemes().join(",")}`);return{scheme:e.split(cl)[0],path:e.split(cl)[1]}}async function vS(e,t,n=!1){A(e!==t,()=>`Old path and new path are the same: '${e}'`);let a=$t.getLoadHandlers(e);A(a.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),A(a.length<2,()=>`Copying failed because more than one (${a.length}) load handlers for source URL ${e}.`);let r=a[0],s=$t.getSaveHandlers(t);A(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),A(s.length<2,()=>`Copying failed because more than one (${a.length}) save handlers for destination URL ${t}.`);let i=s[0],o=xh(e).scheme,l=xh(e).path,u=o===xh(e).scheme,p=await r.load();n&&u&&await Pn.getManager(o).removeModel(l);let d=await i.save(p);return n&&!u&&await Pn.getManager(o).removeModel(l),d.modelArtifactsInfo}async function uD(){let e=Pn.getSchemes(),t={};for(let n of e){let a=await Pn.getManager(n).listModels();for(let r in a){let s=n+cl+r;t[s]=a[r]}}return t}async function pD(e){let t=xh(e);return Pn.getManager(t.scheme).removeModel(t.path)}async function cD(e,t){return vS(e,t,!1)}async function dD(e,t){return vS(e,t,!0)}var hD=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!H().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let a=this.functionRefs[n.data.index];a(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(H().get("IS_BROWSER")){H().setPlatform("browser",new hD);try{Pn.registerManager(ri.URL_SCHEME,new lD)}catch(e){}try{Pn.registerManager(ai.URL_SCHEME,new eD)}catch(e){}}var mD={importFetch:()=>kF()},hb,fD=class{constructor(){this.util=IF(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return H().global.fetch!=null?H().global.fetch(e,t):(hb==null&&(hb=mD.importFetch()),hb(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};H().get("IS_NODE")&&!H().get("IS_BROWSER")&&H().setPlatform("node",new fD);function ze(e,t="float32",n){return t=t||"float32",aa(e),new jt(e,t,n)}function gD(e,t){let n=_(e,"x","cast");if(!HI(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&n.dtype!=="string"||t!=="string"&&n.dtype==="string")throw new Error("Only strings can be casted to strings");let a={x:n},r={dtype:t};return O.runKernel(ki,a,r)}var ie=L({cast_:gD});function yD(e){let t={x:_(e,"x","clone","string_or_numeric")};return O.runKernel(Oi,t)}var or=L({clone_:yD});function Mx(e,t=!1){console.log(e.toString(t))}oS();var bD={buffer:ze,cast:ie,clone:or,print:Mx};ER(bD);function xD(){H().set("PROD",!0)}function vD(){H().set("DEBUG",!0)}function wD(){H().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Px(e){H().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}AR(Px);function kD(){O.disposeVariables()}function Ea(){return O}function Oh(){return O.memory()}function ID(e){return O.profile(e)}function P(e,t){return O.tidy(e,t)}function _e(e){Ax(e).forEach(t=>t.dispose())}function Gt(e){return O.keep(e)}function SD(e){return O.time(e)}function TD(e){return O.setBackend(e)}function ND(){return O.ready()}function CD(){return O.backendName}function _D(e){O.removeBackend(e)}function ED(e){return O.findBackend(e)}function AD(e){return O.findBackendFactory(e)}function Gm(e,t,n=1){return O.registerBackend(e,t,n)}function wS(){return O.backend}function $D(e,t){H().setPlatform(e,t)}function FD(e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(vs,r)}var X=L({add_:FD});function RD(e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Di,r)}var Hm=L({floorDiv_:RD});function DD(e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=Et(n,a),n.dtype==="int32"&&a.dtype==="int32")return Hm(n,a);let r={a:n,b:a},s={};return O.runKernel(Ai,r,s)}var he=L({div_:DD});function MD(e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ki,r)}var z=L({mul_:MD});function PD(e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(dc,n)}else{let n={x:t};return O.runKernel(Rl,n)}}var Lt=L({abs_:PD});function OD(e){let t={x:_(e,"x","acos")};return O.runKernel(Dl,t)}var Ox=L({acos_:OD});function LD(e){let t={x:_(e,"x","acosh")};return O.runKernel(Ml,t)}var Lx=L({acosh_:LD});function zD(e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>_(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!xs(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(bi,a)}var kS=L({addN_:zD});function WD(e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Pl,a,r)}var qm=L({all_:WD});function BD(e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(Ol,a,r)}var Yp=L({any_:BD});function VD(e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return O.runKernel(xi,n,a)}var si=L({argMax_:VD});function UD(e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return O.runKernel(pc,n,a)}var zx=L({argMin_:UD});function GD(e){let t={x:_(e,"x","asin")};return O.runKernel(Ll,t)}var Wx=L({asin_:GD});function HD(e){let t={x:_(e,"x","asinh")};return O.runKernel(zl,t)}var Bx=L({asinh_:HD});function qD(e){let t={x:_(e,"x","atan")};return O.runKernel(Wl,t)}var Vx=L({atan_:qD});function jD(e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Vl,r)}var Ux=L({atan2_:jD});function KD(e){let t={x:_(e,"x","atanh")};return O.runKernel(Bl,t)}var Gx=L({atanh_:KD});function XD(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=TS(r);return Fc(e,o,n,s,a,null,null,l)}function IS(e,t,n,a,r,s,i="channelsLast"){let[o,l]=Zp(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Fc(e,u,n,a,r,s,!1,i)}function YD(e,t,n,a,r,s,i="NDHWC"){let[o,l,u]=Lb(t),p,d;if(i==="NDHWC")d="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")d="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return SS(e,p,n,a,r,!1,d,s)}function Fc(e,t,n,a,r,s,i=!1,o="channelsLast"){let[l,u,p,d]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,d]=e;else if(o==="channelsFirst")[l,d,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[c,h,,m]=t,[f,g]=Zp(n),[y,b]=Zp(a),x=dl(c,y),w=dl(h,b),{padInfo:I,outHeight:T,outWidth:C}=QD(r,u,p,f,g,x,w,s,o),E=i?m*d:m,$;return o==="channelsFirst"?$=[l,E,T,C]:o==="channelsLast"&&($=[l,T,C,E]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:d,outHeight:T,outWidth:C,outChannels:E,padInfo:I,strideHeight:f,strideWidth:g,filterHeight:c,filterWidth:h,effectiveFilterHeight:x,effectiveFilterWidth:w,dilationHeight:y,dilationWidth:b,inShape:e,outShape:$,filterShape:t}}function SS(e,t,n,a,r,s=!1,i="channelsLast",o){let[l,u,p,d,c]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,d,c]=e;else if(i==="channelsFirst")[l,c,u,p,d]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,m,f,,g]=t,[y,b,x]=Lb(n),[w,I,T]=Lb(a),C=dl(h,w),E=dl(m,I),$=dl(f,T),{padInfo:R,outDepth:F,outHeight:S,outWidth:M}=eM(r,u,p,d,y,b,x,C,E,$,o),B=s?g*c:g,U;return i==="channelsFirst"?U=[l,B,F,S,M]:i==="channelsLast"&&(U=[l,F,S,M,B]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:d,inChannels:c,outDepth:F,outHeight:S,outWidth:M,outChannels:B,padInfo:R,strideDepth:y,strideHeight:b,strideWidth:x,filterDepth:h,filterHeight:m,filterWidth:f,effectiveFilterDepth:C,effectiveFilterHeight:E,effectiveFilterWidth:$,dilationDepth:w,dilationHeight:I,dilationWidth:T,inShape:e,outShape:U,filterShape:t}}function ZD(e,t,n,a,r){a==null&&(a=Hx(e,t,n));let s=e[0],i=e[1],o=Jp((s-t+2*a)/n+1,r),l=Jp((i-t+2*a)/n+1,r);return[o,l]}function JD(e,t,n,a,r,s){r==null&&(r=Hx(e,t[0],a[0]));let i=[0,0,0,n];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=Jp((e[o]-t[o]+2*r)/a[o]+1,s));return i}function Hx(e,t,n,a=1){let r=dl(t,a);return Math.floor((e[0]*(n-1)-n+r)/2)}function Zp(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Lb(e){return typeof e=="number"?[e,e,e]:e}function dl(e,t){return t<=1?e:e+(e-1)*(t-1)}function QD(e,t,n,a,r,s,i,o,l){let u,p,d;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let c=ZD([t,n],s,a,e,o);p=c[0],d=c[1]}else if(e==="same"){p=Math.ceil(t/a),d=Math.ceil(n/r);let c=Math.max(0,(p-1)*a+s-t),h=Math.max(0,(d-1)*r+i-n),m=Math.floor(c/2),f=c-m,g=Math.floor(h/2),y=h-g;u={top:m,bottom:f,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/a),d=Math.ceil((n-i+1)/r);else if(typeof e=="object"){let c=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],m=l==="channelsLast"?e[2][0]:e[3][0],f=l==="channelsLast"?e[2][1]:e[3][1];u={top:c,bottom:h,left:m,right:f,type:c===0&&h===0&&m===0&&f===0?"VALID":"EXPLICIT"},p=Jp((t-s+c+h)/a+1,o),d=Jp((n-i+m+f)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:d}}function eM(e,t,n,a,r,s,i,o,l,u,p){let d,c,h,m;if(e==="valid"&&(e=0),typeof e=="number"){d={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let f=JD([t,n,a,1],[o,l,u],1,[r,s,i],e,p);c=f[0],h=f[1],m=f[2]}else if(e==="same"){c=Math.ceil(t/r),h=Math.ceil(n/s),m=Math.ceil(a/i);let f=(c-1)*r+o-t,g=(h-1)*s+l-n,y=(m-1)*i+u-a,b=Math.floor(f/2),x=f-b,w=Math.floor(g/2),I=g-w,T=Math.floor(y/2),C=y-T;d={top:w,bottom:I,left:T,right:C,front:b,back:x,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:d,outDepth:c,outHeight:h,outWidth:m}}function Jp(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function cs(e){let[t,n,a]=Zp(e);return t===1&&n===1&&a===1}function hr(e,t){return cs(e)||cs(t)}function ii(e){return Zp(e).every(t=>t>0)}function TS(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Nn(e,t,n){if(n!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);if(typeof t=="number")A(ml(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${t}.`);else if(typeof t=="object")t.forEach(a=>{a.forEach(r=>{A(ml(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${n} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function tM(e,t){let n={x:_(e,"x","reshape","string_or_numeric")},a={shape:t};return O.runKernel(bu,n,a)}var W=L({reshape_:tM});function nM(e,t,n,a,r){let s=_(e,"x","avgPool","float32"),i=1;A(hr(n,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Nn("avgPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(vi,u,p);return d=ie(d,s.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var ba=L({avgPool_:nM});function aM(e,t,n,a,r,s="NDHWC"){let i=_(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),A(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),A(typeof n=="number"&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${n}'`),Nn("avgPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(cc,u,p);return d=ie(d,o.dtype),l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var qx=L({avgPool3d_:aM});function rM(e,t=0){A(e.length>=1,()=>"Pass at least one tensor to concat");let n=Xp(e,"tensors","concat","string_or_numeric");if(n[0].dtype==="complex64"&&n.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor with dtype ${s.dtype}. `)}),n.length===1)return or(n[0]);let a=n,r={axis:t};return O.runKernel(Gl,a,r)}var Ze=L({concat_:rM});function sM(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=Et(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(wi,i,o)}var Re=L({matMul_:sM});function iM(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(uo,t)}var ha=L({sigmoid_:iM});function oM(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(ku,r,s)}var Ve=L({slice_:oM});function lM(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(yo,t)}var oi=L({tanh_:lM});function uM(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Re(c,o),m=X(h,l),f=m.shape[0],g=m.shape[1]/4,y=[f,g],b=Ve(m,[0,0],y),x=Ve(m,[0,g],y),w=Ve(m,[0,g*2],y),I=Ve(m,[0,g*3],y),T=X(z(ha(b),oi(x)),z(p,ha(X(i,w)))),C=z(oi(T),ha(I));return[T,C]}var NS=L({basicLSTMCell_:uM});function pM(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);A(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),A(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),A(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel(Ul,s,i)}var Rc=L({batchToSpaceND_:pM});function cM(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function dM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(a,"offset","batchNorm")),A(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:cM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Mi,d,c);return W(h,i.shape)}var Ts=L({batchNorm_:dM});function hM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),A(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),A(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),Ts(i,o,l,p,u,s)}var jx=L({batchNorm2d_:hM});function mM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),A(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),A(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),Ts(i,o,l,p,u,s)}var Kx=L({batchNorm3d_:mM});function fM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(a,"offset","batchNorm")),A(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),A(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),A(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),Ts(i,o,l,p,u,s)}var Xx=L({batchNorm4d_:fM});function gM(e,t,n){let a=_(e,"x","bincount"),r=_(t,"weights","bincount");A(a.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${a.dtype}`),A(n>=0,()=>`size must be non-negative, but got ${n}.`),A(r.size===a.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${a.shape}, weights shape: ${r.shape}.`);let s={x:a,weights:r},i={size:n};return O.runKernel(dm,s,i)}var Yx=L({bincount_:gM});function yM(e,t){let n=_(e,"s0","broadcastArgs","int32"),a=_(t,"s1","broadcastArgs","int32");if(n.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(a.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${a.rank}`);let r={s0:n,s1:a};return O.runKernel(hm,r)}var CS=L({broadcastArgs_:yM});function bM(e,t){let n=_(e,"broadcastTo","x"),a=n.shape;if(aa(t),t.lengthn.rank){let l=n.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(n.shape[l]!==1)throw new Error(`broadcastTo(): [${a}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return or(n);let i={x:n},o={reps:s};return O.runKernel(ks,i,o)}var Zs=L({broadcastTo_:bM});function xM(e){let t={x:_(e,"x","ceil","float32")};return O.runKernel(Ii,t)}var Zx=L({ceil_:xM});function bn(e,t,n){aa(e);let a={shape:e,value:t,dtype:n};return O.runKernel(fc,{},a)}function vM(e,t,n){let a=_(e,"x","clipByValue");if(A(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return bn(a.shape,t,a.dtype);let r={x:a},s={clipValueMin:t,clipValueMax:n};return O.runKernel(ws,r,s)}var tn=L({clipByValue_:vM});function wM(e){return Ze(e,0)}var Jx=L({concat1d_:wM});function kM(e,t){return Ze(e,t)}var Qx=L({concat2d_:kM});function IM(e,t){return Ze(e,t)}var ev=L({concat3d_:IM});function SM(e,t){return Ze(e,t)}var tv=L({concat4d_:SM});function TM(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","conv2d","float32"),l=_(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),A(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),A(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Nn("conv2d",a,i);let d=r==="NHWC"?u.shape[3]:u.shape[1];A(d===l.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${l.shape[2]}.`),A(hr(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),A(ii(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),A(ii(n),()=>"Error in conv2D: Strides should be larger than 0.");let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(Si,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Rt=L({conv2d_:TM});function NM(e,t,n,a,r="NWC",s=1,i){let o=_(e,"x","conv1d"),l=_(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1]])),A(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),A(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Nn("conv1d",a,i),A(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),A(hr(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),A(ii(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),A(ii(n),()=>"Error in conv1D: Stride should be larger than 0."),A(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]]),c=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=Rt(c,d,[1,n],a,"NHWC",[1,s],i);return p?W(h,[h.shape[2],h.shape[3]]):W(h,[h.shape[0],h.shape[2],h.shape[3]])}var jm=L({conv1d_:NM});function CM(e,t,n,a,r,s="NHWC",i){A(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=W(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),A(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),A(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),A(n.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);let p=s==="NHWC"?o[3]:o[1],d=s==="NHWC"?l.shape[3]:l.shape[1];A(p===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[2]}.`),A(d===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${n.shape[3]}.`),Nn("conv2dDerInput",r,i);let c={dy:l,filter:n},h={strides:a,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},m=O.runKernel(Ti,c,h);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var nv=L({conv2DBackpropInput_:CM});function _M(e,t,n,a,r,s){let i=_(e,"x","conv2dTranspose"),o=_(t,"filter","conv2dTranspose");return nv(n,i,o,a,r,"NHWC",s)}var Km=L({conv2dTranspose_:_M});function EM(e,t,n,a,r="NDHWC",s=[1,1,1]){let i=_(e,"x","conv3d"),o=_(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),A(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),A(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),A(hr(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),A(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`),A(ii(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),A(ii(n),()=>"Error in conv3D: Strides should be larger than 0.");let p={x:l,filter:o},d={strides:n,pad:a,dataFormat:r,dilations:s},c=O.runKernel(hc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var av=L({conv3d_:EM});function AM(e,t,n,a,r){A(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];A(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),A(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),A(n.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),A(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),A(u===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${n.shape[4]}.`);let p={dy:i,filter:n},d={pad:r,strides:a,inputShape:s},c=O.runKernel(ym,p,d);return o?W(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var _S=L({conv3DBackpropInput_:AM});function $M(e,t,n,a,r){let s=_(e,"x","conv3dTranspose"),i=_(t,"filter","conv3dTranspose");return _S(n,s,i,a,r)}var rv=L({conv3dTranspose_:$M});function FM(e){let t={x:_(e,"x","cos","float32")};return O.runKernel(Ni,t)}var Dc=L({cos_:FM});function RM(e){let t={x:_(e,"x","cosh","float32")};return O.runKernel(Ci,t)}var Xm=L({cosh_:RM});function DM(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(Hl,r,s)}var Qp=L({cumprod_:DM});function MM(e,t=0,n=!1,a=!1){let r={x:_(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:a};return O.runKernel(_i,r,s)}var Ym=L({cumsum_:MM});function PM(e,t,n,a=!1){let r=_(e,"x","denseBincount"),s=_(t,"weights","denseBincount");A(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),A(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),A(n>=0,()=>`size must be non-negative, but got ${n}.`),A(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:n,binaryOutput:a};return O.runKernel(bm,i,o)}var Lh=L({denseBincount_:PM});function OM(e,t,n="NHWC"){let a=_(e,"x","depthToSpace","float32"),r=n==="NHWC"?a.shape[1]:a.shape[2],s=n==="NHWC"?a.shape[2]:a.shape[3],i=n==="NHWC"?a.shape[3]:a.shape[1];A(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),A(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape ${a.shape}`),A(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying @@ -29,7 +29,7 @@ Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function yO(e,t ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(vc,i)}var XL=L({sparseSegmentMean_:KL});function YL(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape ${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(wc,i)}var ZL=L({sparseSegmentSum_:YL});function JL(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(Ic,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var QL=L({stringNGrams_:JL});function ez(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(Sc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var tz=L({stringSplit_:ez});function nz(e,t){let n=_(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(Tc,r,a)}var az=L({stringToHashBucketFast_:nz}),_T={fft:Uc,ifft:vl,rfft:Gc,irfft:hf},ET={hammingWindow:M3,hannWindow:wT,frame:kT,stft:z3},$a={flipLeftRight:U3,grayscaleToRGB:H3,resizeNearestNeighbor:CT,resizeBilinear:NT,rotateWithOffset:j3,cropAndResize:B3,nonMaxSuppression:X3,nonMaxSuppressionAsync:aL,nonMaxSuppressionWithScore:sL,nonMaxSuppressionWithScoreAsync:oL,nonMaxSuppressionPadded:uL,nonMaxSuppressionPaddedAsync:cL,threshold:gL,transform:bL},Gv={bandPart:vL,gramSchmidt:kL,qr:SL},AT={absoluteDifference:CL,computeWeightedLoss:Mr,cosineDistance:EL,hingeLoss:$L,huberLoss:RL,logLoss:ML,meanSquaredError:OL,sigmoidCrossEntropy:WL,softmaxCrossEntropy:UL},$T={sparseFillEmptyRows:HL,sparseReshape:jL,sparseSegmentMean:XL,sparseSegmentSum:ZL},FT={stringNGrams:QL,stringSplit:tz,stringToHashBucketFast:az},ne={};Ae(ne,{Serializable:()=>RT,SerializationMap:()=>qs,registerClass:()=>DT});var RT=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},qs=class{constructor(){this.classNameMap={}}static getMap(){return qs.instance==null&&(qs.instance=new qs),qs.instance}static register(e){qs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function DT(e){A(e.className!=null,()=>"Class being registered does not have the static className property defined."),A(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),A(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),qs.register(e)}var Pr=class extends RT{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return _e(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return OS(e,t)}dispose(){this.iterations_!=null&&_e(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:xe(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Pr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var Hv=class extends Pr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adadelta"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>qe(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=X(z(i,this.rho),z(ot(s),1-this.rho)),u=z(he(cn(X(o,this.epsilon)),cn(X(i,this.epsilon))),s),p=X(z(o,this.rho),z(ot(u),1-this.rho));i.assign(l),o.assign(p);let d=X(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(_e(this.accumulatedGrads.map(e=>e.variable)),_e(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}},qv=class extends Pr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}static get className(){return"Adagrad"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:P(()=>bn(a.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[n].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[n].variable;P(()=>{let i=X(s,ot(r));s.assign(i);let o=X(z(he(r,cn(X(i,O.backend.epsilon()))),-this.learningRate),a);a.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&_e(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}},jv=class extends Pr{constructor(e,t,n,a=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],P(()=>{this.accBeta1=xe(t).variable(),this.accBeta2=xe(n).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adam"}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=pe(1,this.accBeta2);t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:P(()=>qe(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:P(()=>qe(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,d=X(z(u,this.beta1),z(l,1-this.beta1)),c=X(z(p,this.beta2),z(ot(l),1-this.beta2)),h=he(d,n),m=he(c,a);u.assign(d),p.assign(c);let f=X(z(he(h,X(cn(m),this.epsilon)),-this.learningRate),i);i.assign(f)}),this.accBeta1.assign(z(this.accBeta1,this.beta1)),this.accBeta2.assign(z(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&_e(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),P(()=>{this.accBeta1.assign(Rr(this.beta1,this.iterations_+1)),this.accBeta2.assign(Rr(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}},Kv=class extends Pr{constructor(e,t,n,a=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=a,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],P(()=>{this.iteration=xe(0).variable(),this.accBeta1=xe(t).variable()}),a==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adamax"}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);P(()=>{let n=pe(1,this.accBeta1),a=he(-this.learningRate,X(z(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=O.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:qe(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:qe(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,d=X(z(u,this.beta1),z(l,1-this.beta1)),c=z(p,this.beta2),h=Lt(l),m=mr(c,h);u.assign(d),p.assign(m);let f=X(z(he(a,n),he(d,X(m,this.epsilon))),i);i.assign(f)}),this.iteration.assign(X(this.iteration,1)),this.accBeta1.assign(z(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&_e(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&_e(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}},kf=class extends Pr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}static get className(){return"SGD"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=Array.isArray(e)?e[n].tensor:e[t];if(a==null)return;let r=O.registeredVariables[t];P(()=>{let s=X(z(this.c,a),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Gt(xe(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}},Xv=class extends kf{constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=xe(this.momentum)}static get className(){return"Momentum"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(!1))});let r=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];s!=null&&P(()=>{let i,o=X(z(this.m,r),s);this.useNesterov?i=X(z(this.c,X(s,z(o,this.m))),a):i=X(z(this.c,o),a),r.assign(o),a.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&_e(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}},Yv=class extends Pr{constructor(e,t=.9,n=0,a=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=a,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,a==null&&(this.epsilon=O.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}static get className(){return"RMSProp"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:P(()=>qe(a).variable(r))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[n].variable,o=this.accumulatedMoments[n].variable;P(()=>{let l=X(z(i,this.decay),z(ot(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[n].variable,p=X(z(u,this.decay),z(s,1-this.decay)),d=he(z(s,this.learningRate),cn(pe(l,X(ot(p),this.epsilon)))),c=X(z(o,this.momentum),d);i.assign(l),u.assign(p),o.assign(c);let h=pe(a,c);a.assign(h)}else{let u=X(z(i,this.decay),z(ot(s),1-this.decay)),p=X(z(o,this.momentum),he(z(s,this.learningRate),cn(X(u,this.epsilon))));i.assign(u),o.assign(p);let d=pe(a,p);a.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&_e(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&_e(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&_e(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(a=>({originalName:a.name,variable:a.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}},rz=[Hv,qv,jv,Kv,Xv,Yv,kf];function sz(){for(let e of rz)DT(e)}var Ht={};Ae(Ht,{browserFiles:()=>dz,browserHTTPRequest:()=>yz,concatenateArrayBuffers:()=>Rx,copyModel:()=>cD,decodeWeights:()=>pS,encodeWeights:()=>WR,fromMemory:()=>xz,fromMemorySync:()=>zT,getLoadHandlers:()=>ZR,getModelArtifactsForJSON:()=>Dx,getModelArtifactsForJSONSync:()=>dS,getModelArtifactsInfoForJSON:()=>$c,getSaveHandlers:()=>YR,getWeightSpecs:()=>hS,http:()=>Jv,isHTTPScheme:()=>Wb,listModels:()=>uD,loadWeights:()=>hz,moveModel:()=>dD,registerLoadRouter:()=>XR,registerSaveRouter:()=>KR,removeModel:()=>pD,weightsLoaderFactory:()=>PT,withSaveHandler:()=>vz,withSaveHandlerSync:()=>wz});var iz="model",oz=".json",lz=".weights.bin";function mk(e){return new Promise(t=>setTimeout(t)).then(e)}var kl=class{constructor(e){if(!H().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(kl.URL_SCHEME)&&(e=e.slice(kl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=iz),this.modelJsonFileName=e+oz,this.weightDataFileName=e+lz}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],a=cS(e,n),r=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await mk(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await mk(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:$c(e)}}}};kl.URL_SCHEME="downloads://";var uz=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let n=new FileReader;n.onload=a=>{let r=JSON.parse(a.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=Dx(r,o=>this.loadWeights(o));e(i)},n.onerror=a=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){let t=[],n=[];for(let s of e)t.push(...s.weights),n.push(...s.paths);let a=this.checkManifestAndWeightFiles(e),r=n.map(s=>this.loadWeightsFile(s,a[s]));return Promise.all(r).then(s=>[t,Rx(s)])}loadWeightsFile(e,t){return new Promise((n,a)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;n(i)},r.onerror=s=>a(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],n=this.weightsFiles.map(r=>ck(r.name)),a={};for(let r of e)r.paths.forEach(s=>{let i=ck(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),n.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);a[s]=this.weightsFiles[n.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return a}},pz=e=>H().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(kl.URL_SCHEME)?cz(e.slice(kl.URL_SCHEME.length)):null;$t.registerSaveRouter(pz);function cz(e="model"){return new kl(e)}function dz(e){return new uz(e)}function fk(e,t,n,a){i(e),n=n==null?0:n,a=a==null?1:a,o(n,a);let r=0,s=l=>(l.then(u=>{let p=n+ ++r/e.length*(a-n);return t(p),u}),l);function i(l){A(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){A(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),A(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),A(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function MT(e,t){t==null&&(t={});let n=t.fetchFunc==null?H().platform.fetch:t.fetchFunc,a=e.map(u=>n(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(a):await fk(a,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await fk(i,t.onProgress,o,l)}async function hz(e,t="",n,a){return PT(r=>MT(r,{requestInit:a}))(e,t,n)}function PT(e){return async(t,n="",a)=>{let r=t.map(()=>!1),s={},i=a!=null?a.map(()=>!1):[],o=[];if(t.forEach((h,m)=>{let f=0;h.weights.forEach(g=>{let y="quantization"in g?g.quantization.dtype:g.dtype,b=Db[y]*mt(g.shape),x=()=>{r[m]=!0,s[m]==null&&(s[m]=[]),s[m].push({manifestEntry:g,groupOffset:f,sizeBytes:b})};a!=null?a.forEach((w,I)=>{w===g.name&&(x(),i[I]=!0)}):x(),o.push(g.name),f+=b})}),!i.every(h=>h)){let h=a.filter((m,f)=>!i[f]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. -Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=pS(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var mz="application/octet-stream",fz="application/json",Zv=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=cS(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:fz}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:mz}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:$c(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Dx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=gz(t),r=this.weightPathPrefix||n,s=hS(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await MT(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Rx(l)]}};Zv.URL_SCHEME_REGEX=/^https?:\/\//;function gz(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Wb(e){return e.match(Zv.URL_SCHEME_REGEX)!=null}var OT=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Wb(a)):n=Wb(e),n)return Jv(e,t)}return null};$t.registerSaveRouter(OT);$t.registerLoadRouter(OT);function Jv(e,t){return new Zv(e,t)}function yz(e,t){return Jv(e,t)}var mb=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},LT=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},bz=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function xz(e,t,n,a){let r=arguments;return new bz(zT(...r))}function zT(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new mb(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new mb({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new mb({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function vz(e){return new LT(e)}function wz(e){return new LT(e)}var WT={};Ae(WT,{confusionMatrix:()=>Iz});function kz(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");A(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),A(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),A(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),A(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),A(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=yl(ie(a,"int32"),n),i=yl(ie(r,"int32"),n),o=Ee(s),l=Re(o,i);return ie(l,"int32")}var Iz=L({confusionMatrix_:kz}),wo={};Ae(wo,{fromPixels:()=>Az,fromPixelsAsync:()=>_z,toPixels:()=>Ez});var Bs;function BT(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(Rh(Fh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(Fh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Bs==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Bs=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Bs=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Bs.canvas.width=l,Bs.canvas.height=u,Bs.drawImage(e,0,0,l,u),p=Bs.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var Az=L({fromPixels_:BT}),Qv={};Ae(Qv,{prepareAndValidate:()=>VT});function VT(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Kt={};Ae(Kt,{assertParamsValid:()=>Fz,computeFlatOffset:()=>Oz,computeOutShape:()=>Dz,getNormalizedAxes:()=>Mz,isSliceContinous:()=>Pz,maskToAxes:()=>Rz,parseSliceParams:()=>ZT,sliceInfo:()=>Lz,startForAxis:()=>XT,startIndicesWithElidedDims:()=>qT,stopForAxis:()=>YT,stopIndicesWithElidedDims:()=>jT,stridesForAxis:()=>KT,stridesWithElidedDims:()=>UT});var Bb=-2,$z=-1;function Fz(e,t,n){let a=e.shape.length;A(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),A(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function Rz(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function Dz(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=qT(i,h,m,a,e),d=jT(o,h,m,r,e),c=UT(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=GT(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=GT(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=Hp(0,i,l-1),i}function YT(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=Hp(0,i,l):i=Hp(-1,i,l-1),i}function Pz(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function Oz(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{A(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:(A(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function Lz(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let b=0;b0?0:-1,c.strides[b]>0?w:w-1];if(x&&c.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[b]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[b]} of dimension ${b} out of bounds.`)}else c.begin[b]=gk(c.begin[b],0,c.strides[b],w,I,T),c.end[b]=gk(c.end[b],1,c.strides[b],w,I,T);let R=c.strides[b]===1&&c.begin[b]===0&&c.end[b]===w;h=h&&R,m=m&&(b===0&&c.strides[b]===1||R)}else h=h&&c.strides[b]===1&&C,m=m&&(b===0&&c.strides[b]===1||C);let E,$=!1;if(c.beginValid&&c.endValid?(E=c.end[b]-c.begin[b],$=!0):x?(E=1,$=!0):C&&w>=0&&(c.strides[b]<0?E=-w:E=w,$=!0),$){let R;E===0||E<0!=c.strides[b]<0?R=0:R=Math.trunc(E/c.strides[b])+(E%c.strides[b]!==0?1:0),g.push(R)}else g.push(-1)}for(let b=0;b=0?y.push(g[x]):x===Bb&&y.push(1)}return{finalShapeSparse:y.filter((b,x)=>c.finalShapeGatherIndices[x]!==Bb),finalShape:y,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function zz(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var Wz="4.2.0",JT=class{static sgd(e){return new kf(e)}static momentum(e,t,n=!1){return new Xv(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Yv(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new jv(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new Hv(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new Kv(e,t,n,a,r)}static adagrad(e,t=.1){return new qv(e,t)}},Gs=JT,Bz=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function ew(){return new Promise(e=>Bz(()=>e()))}var N={};Ae(N,{ERF_A1:()=>nW,ERF_A2:()=>aW,ERF_A3:()=>rW,ERF_A4:()=>sW,ERF_A5:()=>iW,ERF_P:()=>tW,PARALLELIZE_THRESHOLD:()=>tw,RowPartitionType:()=>ar,SELU_SCALE:()=>eN,SELU_SCALEALPHA:()=>QT,applyActivation:()=>vf,assertAndGetBroadcastShape:()=>lt,assertAxesAreInnerMostDims:()=>XM,assertParamsConsistent:()=>Vz,assignToTypedArray:()=>dW,axesAreInnerMostDims:()=>pv,calculateShapes:()=>mT,checkEinsumDimSizes:()=>bW,checkPadOnDimRoundingMode:()=>Nn,combineLocations:()=>FS,combineRaggedTensorToTensorShapes:()=>Gz,complexWithEvenIndex:()=>uW,complexWithOddIndex:()=>pW,computeConv2DInfo:()=>Fc,computeConv3DInfo:()=>SS,computeDefaultPad:()=>Hx,computeDilation2DInfo:()=>XD,computeOptimalWindowSize:()=>Kz,computeOutAndReduceShapes:()=>RS,computeOutShape:()=>Uz,computePool2DInfo:()=>IS,computePool3DInfo:()=>YD,convertConv2DDataFormat:()=>TS,decodeEinsumEquation:()=>gW,eitherStridesOrDilationsAreOne:()=>hr,expandShapeToKeepDim:()=>li,exponent:()=>mW,exponents:()=>hW,fromStringArrayToUint8:()=>zW,fromUint8ToStringArray:()=>LW,getAxesPermutation:()=>DS,getBroadcastDims:()=>AS,getComplexWithIndex:()=>cW,getEinsumComputePath:()=>xW,getEinsumPermutation:()=>yW,getFusedBiasGradient:()=>xf,getFusedDyActivation:()=>bf,getImageCenter:()=>Xz,getInnerMostAxes:()=>YM,getPermuted:()=>Zz,getRaggedRank:()=>qz,getReductionAxes:()=>Wt,getReshaped:()=>Yz,getReshapedPermuted:()=>Jz,getRowPartitionTypesHelper:()=>Hz,getSliceBeginCoords:()=>Qz,getSliceSize:()=>eW,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>IW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>SW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>TW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>_W,getSparseReshapeInputOutputMismatchErrorMessage:()=>AW,getSparseReshapeInputOutputMultipleErrorMessage:()=>EW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>NW,getSparseReshapeNegativeOutputDimErrorMessage:()=>CW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>DW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>$W,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>FW,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>RW,getUndoAxesPermutation:()=>cv,isIdentityPermutation:()=>vW,log:()=>lR,mergeRealAndImagArrays:()=>oW,prepareAndValidate:()=>VT,prepareSplitSize:()=>kW,segment_util:()=>tN,shouldFuse:()=>wf,slice_util:()=>Kt,splitRealAndImagArrays:()=>lW,stridesOrDilationsArePositive:()=>ii,tupleValuesAreOne:()=>cs,upcastType:()=>fa,validateDefaultValueShape:()=>jz,validateInput:()=>zv,validateUpdateShape:()=>Lv,warn:()=>es});function Vz(e,t){let n=e[0].length;e.forEach((r,s)=>{A(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),A(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function Uz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Hz(e){let t={FIRST_DIM_SIZE:ar.FIRST_DIM_SIZE,VALUE_ROWIDS:ar.VALUE_ROWIDS,ROW_LENGTHS:ar.ROW_LENGTHS,ROW_SPLITS:ar.ROW_SPLITS,ROW_LIMITS:ar.ROW_LIMITS,ROW_STARTS:ar.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function qz(e){return e.length===0?0:e[0]===ar.FIRST_DIM_SIZE?e.length-1:e.length}function jz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var tw=30;function Kz(e){return e<=tw?e:Eh(e,Math.floor(Math.sqrt(e)))}function Xz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function Yz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Jz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,yk=",",bk="...";function gW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(fW,"").length)/fb.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${fb}").`);let[a,r]=e.split(fb);A(a.indexOf(bk)===-1,()=>`The ellipsis notation ("${bk}") is not supported yet.`);let s=a.split(yk),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function bW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function xW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function wW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);A(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}A(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function IW(e){return`Received SparseTensor with denseShape[0] = 0 but +Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=pS(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var mz="application/octet-stream",fz="application/json",Zv=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=cS(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:fz}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:mz}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:$c(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Dx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=gz(t),r=this.weightPathPrefix||n,s=hS(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await MT(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Rx(l)]}};Zv.URL_SCHEME_REGEX=/^https?:\/\//;function gz(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Wb(e){return e.match(Zv.URL_SCHEME_REGEX)!=null}var OT=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Wb(a)):n=Wb(e),n)return Jv(e,t)}return null};$t.registerSaveRouter(OT);$t.registerLoadRouter(OT);function Jv(e,t){return new Zv(e,t)}function yz(e,t){return Jv(e,t)}var mb=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},LT=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},bz=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function xz(e,t,n,a){let r=arguments;return new bz(zT(...r))}function zT(e,t,n,a){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new mb(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new mb({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new mb({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:a}))}function vz(e){return new LT(e)}function wz(e){return new LT(e)}var WT={};Ae(WT,{confusionMatrix:()=>Iz});function kz(e,t,n){let a=_(e,"labels","confusionMatrix"),r=_(t,"predictions","confusionMatrix");A(n==null||n>0&&Number.isInteger(n),()=>`If provided, numClasses must be a positive integer, but got ${n}`),A(a.rank===1,()=>`Expected the rank of labels to be 1, but got ${a.rank}`),A(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),A(a.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${a.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),A(n>0&&Number.isInteger(n),()=>`numClasses is required to be a positive integer, but got ${n}`);let s=yl(ie(a,"int32"),n),i=yl(ie(r,"int32"),n),o=Ee(s),l=Re(o,i);return ie(l,"int32")}var Iz=L({confusionMatrix_:kz}),wo={};Ae(wo,{fromPixels:()=>Az,fromPixelsAsync:()=>_z,toPixels:()=>Ez});var Bs;function BT(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,a=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)n=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)a=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(Rh(Fh,O.backendName)!=null){let c={pixels:e},h={numChannels:t};return O.runKernel(Fh,c,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(a||n)p=e.data;else if(s||r||o){if(Bs==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Bs=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Bs=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Bs.canvas.width=l,Bs.canvas.height=u,Bs.drawImage(e,0,0,l,u),p=Bs.getImageData(0,0,l,u).data}let d;if(t===4)d=new Int32Array(p);else{let c=l*u;d=new Int32Array(c*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(n.dtype!=="float32"&&n.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);let i=await n.data(),o=n.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*a*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(n.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[c]=h*o}let d=u*4;l[d+0]=Math.round(p[0]),l[d+1]=Math.round(p[1]),l[d+2]=Math.round(p[2]),l[d+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=a;let u=t.getContext("2d"),p=new ImageData(l,r,a);u.putImageData(p,0,0)}return n!==e&&n.dispose(),l}var Az=L({fromPixels_:BT}),Qv={};Ae(Qv,{prepareAndValidate:()=>VT});function VT(e,t){let n=e.shape.length,a=t.shape.length;if(n<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${n}.`);if(a<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${a}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[a-1]>n)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[a-1]} vs. ${n}`);if(mt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let d=0;dd/u),1].slice(0,s);return[l,i,u,p]}var Kt={};Ae(Kt,{assertParamsValid:()=>Fz,computeFlatOffset:()=>Oz,computeOutShape:()=>Dz,getNormalizedAxes:()=>Mz,isSliceContinous:()=>Pz,maskToAxes:()=>Rz,parseSliceParams:()=>ZT,sliceInfo:()=>Lz,startForAxis:()=>XT,startIndicesWithElidedDims:()=>qT,stopForAxis:()=>YT,stopIndicesWithElidedDims:()=>jT,stridesForAxis:()=>KT,stridesWithElidedDims:()=>UT});var Bb=-2,$z=-1;function Fz(e,t,n){let a=e.shape.length;A(a===t.length,()=>`Error in slice${a}D: Length of begin ${t} must match the rank of the array (${a}).`),A(a===n.length,()=>`Error in slice${a}D: Length of size ${n} must match the rank of the array (${a}).`);for(let r=0;r`Error in slice${a}D: begin[${r}] + size[${r}] (${t[r]+n[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function Rz(e){let t=[],n=0;for(;e>0;)e&1&&t.push(n),e/=2,n++;return t}function Dz(e,t,n){let a=[];for(let r=0;r0){let h=t[0],m=n+1;p=qT(i,h,m,a,e),d=jT(o,h,m,r,e),c=UT(s,h,m,e)}else for(let h=0;h-1)s[o]=0;else{let l=GT(t,n,o),u=a[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=GT(t,n,o),u=a[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),i=Hp(0,i,l-1),i}function YT(e,t,n,a,r,s){let i=t[r],o=n[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=a[r];return i<0&&(i+=l),o>0?i=Hp(0,i,l):i=Hp(-1,i,l-1),i}function Pz(e,t,n){let a=n.length;for(let r=0;r1){a=r;break}for(let r=a+1;r0||n[r]!==e[r])return!1;return!0}function Oz(e,t){let n=e.length>0?e[e.length-1]:1;for(let a=0;a{A(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return n==null?s=new Array(r).fill(-1):typeof n=="number"?s=[n,...new Array(r-1).fill(-1)]:n.lengthi>=0?i:(A(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-a[o])),[a,s]}function Lz(e,t,n,a,r,s,i,o,l){let u;if(a==null?(u=new Array(t.length),u.fill(1)):u=a,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,d={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let b=0;b0?0:-1,c.strides[b]>0?w:w-1];if(x&&c.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");f=f&&c.strides[b]===1;let C=!!(c.beginMask&1<=w)throw Error(`slice index ${c.begin[b]} of dimension ${b} out of bounds.`)}else c.begin[b]=gk(c.begin[b],0,c.strides[b],w,I,T),c.end[b]=gk(c.end[b],1,c.strides[b],w,I,T);let R=c.strides[b]===1&&c.begin[b]===0&&c.end[b]===w;h=h&&R,m=m&&(b===0&&c.strides[b]===1||R)}else h=h&&c.strides[b]===1&&C,m=m&&(b===0&&c.strides[b]===1||C);let E,$=!1;if(c.beginValid&&c.endValid?(E=c.end[b]-c.begin[b],$=!0):x?(E=1,$=!0):C&&w>=0&&(c.strides[b]<0?E=-w:E=w,$=!0),$){let R;E===0||E<0!=c.strides[b]<0?R=0:R=Math.trunc(E/c.strides[b])+(E%c.strides[b]!==0?1:0),g.push(R)}else g.push(-1)}for(let b=0;b=0?y.push(g[x]):x===Bb&&y.push(1)}return{finalShapeSparse:y.filter((b,x)=>c.finalShapeGatherIndices[x]!==Bb),finalShape:y,isIdentity:h,sliceDim0:m,isSimpleSlice:f,begin:c.begin,end:c.end,strides:c.strides}}function zz(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let n=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let a=0;a0?s[t]:s[t+1&1];{let i=e<0?a+e:e;return is[1]?s[1]:i}}var Wz="4.2.0",JT=class{static sgd(e){return new kf(e)}static momentum(e,t,n=!1){return new Xv(e,t,n)}static rmsprop(e,t=.9,n=0,a=null,r=!1){return new Yv(e,t,n,a,r)}static adam(e=.001,t=.9,n=.999,a=null){return new jv(e,t,n,a)}static adadelta(e=.001,t=.95,n=null){return new Hv(e,t,n)}static adamax(e=.002,t=.9,n=.999,a=null,r=0){return new Kv(e,t,n,a,r)}static adagrad(e,t=.1){return new qv(e,t)}},Gs=JT,Bz=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function ew(){return new Promise(e=>Bz(()=>e()))}var N={};Ae(N,{ERF_A1:()=>nW,ERF_A2:()=>aW,ERF_A3:()=>rW,ERF_A4:()=>sW,ERF_A5:()=>iW,ERF_P:()=>tW,PARALLELIZE_THRESHOLD:()=>tw,RowPartitionType:()=>ar,SELU_SCALE:()=>eN,SELU_SCALEALPHA:()=>QT,applyActivation:()=>vf,assertAndGetBroadcastShape:()=>lt,assertAxesAreInnerMostDims:()=>XM,assertParamsConsistent:()=>Vz,assignToTypedArray:()=>dW,axesAreInnerMostDims:()=>pv,calculateShapes:()=>mT,checkEinsumDimSizes:()=>bW,checkPadOnDimRoundingMode:()=>Nn,combineLocations:()=>FS,combineRaggedTensorToTensorShapes:()=>Gz,complexWithEvenIndex:()=>uW,complexWithOddIndex:()=>pW,computeConv2DInfo:()=>Fc,computeConv3DInfo:()=>SS,computeDefaultPad:()=>Hx,computeDilation2DInfo:()=>XD,computeOptimalWindowSize:()=>Kz,computeOutAndReduceShapes:()=>RS,computeOutShape:()=>Uz,computePool2DInfo:()=>IS,computePool3DInfo:()=>YD,convertConv2DDataFormat:()=>TS,decodeEinsumEquation:()=>gW,eitherStridesOrDilationsAreOne:()=>hr,expandShapeToKeepDim:()=>li,exponent:()=>mW,exponents:()=>hW,fromStringArrayToUint8:()=>zW,fromUint8ToStringArray:()=>LW,getAxesPermutation:()=>DS,getBroadcastDims:()=>AS,getComplexWithIndex:()=>cW,getEinsumComputePath:()=>xW,getEinsumPermutation:()=>yW,getFusedBiasGradient:()=>xf,getFusedDyActivation:()=>bf,getImageCenter:()=>Xz,getInnerMostAxes:()=>YM,getPermuted:()=>Zz,getRaggedRank:()=>qz,getReductionAxes:()=>Wt,getReshaped:()=>Yz,getReshapedPermuted:()=>Jz,getRowPartitionTypesHelper:()=>Hz,getSliceBeginCoords:()=>Qz,getSliceSize:()=>eW,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>IW,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>SW,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>TW,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>_W,getSparseReshapeInputOutputMismatchErrorMessage:()=>AW,getSparseReshapeInputOutputMultipleErrorMessage:()=>EW,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>NW,getSparseReshapeNegativeOutputDimErrorMessage:()=>CW,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>DW,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>$W,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>FW,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>RW,getUndoAxesPermutation:()=>cv,isIdentityPermutation:()=>vW,log:()=>lR,mergeRealAndImagArrays:()=>oW,prepareAndValidate:()=>VT,prepareSplitSize:()=>kW,segment_util:()=>tN,shouldFuse:()=>wf,slice_util:()=>Kt,splitRealAndImagArrays:()=>lW,stridesOrDilationsArePositive:()=>ii,tupleValuesAreOne:()=>cs,upcastType:()=>fa,validateDefaultValueShape:()=>jz,validateInput:()=>zv,validateUpdateShape:()=>Lv,warn:()=>es});function Vz(e,t){let n=e[0].length;e.forEach((r,s)=>{A(r.length===n,()=>`Error in concat${n}D: rank of tensors[${s}] must be the same as the rank of the rest (${n})`)}),A(t>=0&&t`Error in concat${n}D: axis must be between 0 and ${n-1}.`);let a=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${n}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${a}) along the non-concatenated axis ${s}.`)})}function Uz(e,t){let n=e[0].slice();for(let a=1;a=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else a[i]=s}return a}function Hz(e){let t={FIRST_DIM_SIZE:ar.FIRST_DIM_SIZE,VALUE_ROWIDS:ar.VALUE_ROWIDS,ROW_LENGTHS:ar.ROW_LENGTHS,ROW_SPLITS:ar.ROW_SPLITS,ROW_LIMITS:ar.ROW_LIMITS,ROW_STARTS:ar.ROW_STARTS},n=[];for(let a of e)if(a in t)n.push(t[a]);else break;return n}function qz(e){return e.length===0?0:e[0]===ar.FIRST_DIM_SIZE?e.length-1:e.length}function jz(e,t){if(e==null||t==null)return;let n=e.length,a=t.length;if(n>=a)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${n} must be less than ragged tensor input flatValues.rank = ${a})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var tw=30;function Kz(e){return e<=tw?e:Eh(e,Math.floor(Math.sqrt(e)))}function Xz(e,t,n){let a=n*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[a,r]}function Yz(e,t,n,a=!0){let r=[];if(a)r=r.concat(t.slice(0)),r.push(e[0]/n),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);a.push(...r),a.push(0),a.push(...s)}return a}function Jz(e,t,n,a=!0){let r=[];a?r.push(e[0]/n):r.push(e[0]*n);for(let s=1;s/g,yk=",",bk="...";function gW(e,t){e=e.replace(/\s/g,"");let n=(e.length-e.replace(fW,"").length)/fb.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error(`Equation must contain exactly one arrow ("${fb}").`);let[a,r]=e.split(fb);A(a.indexOf(bk)===-1,()=>`The ellipsis notation ("${bk}") is not supported yet.`);let s=a.split(yk),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let c=0;cm.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let c=0;cr!==-1),{permutationIndices:n,expandDims:a}}function bW(e,t,n){let a=new Array(e);for(let r=0;r`Expected dimension ${a[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function xW(e,t){let n=e,a=[],r=0;e.length===0&&n.push(-1),r=e.length+1;for(let i=0;it===n)}function wW(e,t){let n=[];for(let a=0;a"Number of splits must evenly divide the axis."),a=new Array(t).fill(e.shape[n]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);A(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[n]-i}A(e.shape[n]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),a=t}return a}function IW(e){return`Received SparseTensor with denseShape[0] = 0 but indices.shape[0] = ${e}`}function SW(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function TW(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function NW(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function CW(e,t){return`size ${e} must be non-negative, not ${t}`}function _W(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function EW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n} dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function AW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function $W(){return"segment ids must be >= 0"}function FW(){return"segment ids are not increasing"}function RW(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function DW(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var tN={};Ae(tN,{collectGatherOpShapeInfo:()=>OW,computeOutShape:()=>PW,segOpComputeOptimalWindowSize:()=>MW});function MW(e,t){let n=!1,a;for(e<=tw?(a=e,n=!0):a=Eh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=Eh(e,a+1);return a}function PW(e,t,n){let a=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) ( ${s}).`);if(nMh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function zW(e){return e.map(t=>Ec(t))}var fr={};Ae(fr,{nonMaxSuppressionV3Impl:()=>IT,nonMaxSuppressionV4Impl:()=>ST,nonMaxSuppressionV5Impl:()=>TT,whereImpl:()=>cT});sz();var nN={kernelName:Rl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,vo(ie(n,"float32"),-1))}}},WW={kernelName:Dl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ot(ie(n,"float32")),r=cn(pe(xe(1),a));return vt(he(e,r))}}}},BW={kernelName:Ml,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=cn(pe(ot(ie(n,"float32")),1));return he(e,a)}}}},VW={kernelName:vs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},UW={kernelName:bi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},GW={kernelName:xi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},HW={kernelName:pc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},qW={kernelName:Ll,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,cn(pe(xe(1),ot(ie(n,"float32")))))}}},jW={kernelName:zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=cn(X(xe(1),ot(ie(n,"float32"))));return he(e,a)}}}},KW={kernelName:Vl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=X(ot(n),ot(a)),i=z(e,he(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=X(ot(n),ot(a)),i=vt(z(e,he(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},XW={kernelName:Wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,X(ot(ie(n,"float32")),1))}}},YW={kernelName:Bl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(xe(1),ot(ie(n,"float32"))))}}};function ZW(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),A(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),A(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Nn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(cm,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var JW=L({avgPool3dGrad_:ZW}),QW={kernelName:cc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>JW(e,a,r,s,i,o)}}};function eB(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");A(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),A(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(pm,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var tB=L({avgPoolGrad_:eB}),nB={kernelName:vi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>tB(e,a,r,s,i)}}},aB={kernelName:wi,inputsToSave:["a","b"],gradFunc:(e,t,n)=>{let[a,r]=t,{transposeA:s,transposeB:i}=n;return!s&&!i?{a:()=>Re(e,r,!1,!0),b:()=>Re(a,e,!0,!1)}:!s&&i?{a:()=>Re(e,r,!1,!1),b:()=>Re(e,a,!0,!1)}:s&&!i?{a:()=>Re(r,e,!1,!0),b:()=>Re(a,e,!1,!1)}:{a:()=>Re(r,e,!0,!0),b:()=>Re(e,a,!0,!0)}}},rB={kernelName:Ul,gradFunc:(e,t,n)=>{let{blockShape:a,crops:r}=n;return{x:()=>Wc(e,a,r)}}},sB={kernelName:JI,gradFunc:(e,t,n)=>{let a=n,r=a.inputShape,s=a.shape,i=Array.from(s);for(let l=r.length-1;l>=0;l--)if(r[l]===s[l])i[l]=1;else if(r[l]!==1)throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${s}].`);let o=[];for(let l=0;l1&&o.push(l);return{x:()=>fe(e,o,!0)}}},iB={kernelName:ki,gradFunc:e=>({x:()=>e.clone()})},oB={kernelName:Ii,gradFunc:e=>({x:()=>qe(e)})},lB={kernelName:ws,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{clipValueMin:r,clipValueMax:s}=n;return{x:()=>gn(Ra(Dr(a,r),Cs(a,s)),e,qe(e))}}},uB={kernelName:dc,inputsToSave:["x"],gradFunc:nN.gradFunc},pB={kernelName:Gl,saveAllInputs:!0,gradFunc:(e,t,n)=>{let a=t.map(o=>o.shape),{axis:r}=n,s=Da(r,t[0].shape)[0],i=a.map(o=>o[s]);return zn(e,i,s).map(o=>()=>o)}},cB={kernelName:Si,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{dilations:s,strides:i,pad:o,dataFormat:l}=n;return A(cs(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>nv(a.shape,e,r,i,o,l),filter:()=>Vv(a,e,r.shape,i,o,l)}}},dB={kernelName:Ti,inputsToSave:["dy","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,{strides:s,pad:i,dataFormat:o,dimRoundingMode:l}=n;return{dy:()=>Rt(e,r,s,i,o,1,l),filter:()=>Vv(e,a,r.shape,s,i,o,l)}}};function hB(e,t,n,a,r){let s=e;e.rank===4&&(s=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));let i=t;i.rank===4&&(i=W(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),A(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),A(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),A(n.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${n}.`),A(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),A(i.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${n[4]}).`);let o={x:s,dy:i},l={strides:a,pad:r,filterShape:n};return O.runKernel(gm,o,l)}var mB=L({conv3DBackpropFilter_:hB}),fB={kernelName:hc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s}=n;A(cs(a),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${a}'`);let[i,o]=t;return{x:()=>_S(i.shape,e,o,r,s),filter:()=>mB(i,e,o.shape,r,s)}}},gB={kernelName:Ni,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(vt(pf(ie(n,"float32"))),e)}}},yB={kernelName:Ci,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(cf(ie(n,"float32")),e)}}},bB={kernelName:_i,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r,exclusive:s,reverse:i}=n;return{x:()=>{let o=DS([r],a.rank),l=Ym(e,r,s,!i);return o!=null&&(l=Ee(l,o)),l}}}},xB={kernelName:Ei,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let{dilations:a,strides:r,pad:s,dimRoundingMode:i}=n,o=a==null?[1,1]:a;A(cs(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);let[l,u]=t;return A(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${l.rank}.`),A(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${u.rank}.`),A(l.shape[3]===u.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${l.shape[3]}) must match the inChannels dimension in filter ${u.shape[2]}.`),A(hr(r,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'.`),Nn("depthwiseConv2d",s,i),{x:()=>vT(l.shape,e,u,r,s,o,i),filter:()=>xT(l,e,u.shape,r,s,o,i)}}},vB={kernelName:mc,inputsToSave:["x","filter"],gradFunc:(e,t,n)=>{let[a,r]=t,s={x:a,filter:r,dy:e},i={x:a,filter:r,dy:e};return{x:()=>O.runKernel(Ah,s,n),filter:()=>O.runKernel($h,i,n)}}},wB={kernelName:$i,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t,a={dy:e,y:n};return{x:()=>O.runKernel(Im,a)}}},kB={kernelName:Kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(yn(vt(ot(n))),2/Math.sqrt(Math.PI));return{x:()=>z(e,a)}}},IB={kernelName:Fi,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,n)}}},SB={kernelName:Yl,inputsToSave:["input"],gradFunc:(e,t)=>{let[n]=t;return{input:()=>W(e,n.shape)}}},TB={kernelName:Zl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,yn(n))}}},NB={kernelName:Ri,gradFunc:e=>({x:()=>qe(e)})},CB={kernelName:Di,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=ot(a);return vt(he(s,ie(o,"float32")))}}}},_B={kernelName:Mi,inputsToSave:["x","mean","variance","scale"],gradFunc:(e,t,n)=>{let{varianceEpsilon:a}=n,[r,s,i,o]=t,l=o==null?xe(1):o,u=Wt(s.shape,r.shape),p=[];if(s.rank===1){for(let f=0;fs.rank===1?W(z(z(e,Ln(W(h,[1,1,1,s.shape[0]]),p)),l),r.shape):W(z(z(e,h),l),r.shape),mean:()=>{let f=z(z(h,xe(-1)),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},variance:()=>{let f=z(z(m,d),c);return s.rank===1&&(f=fe(f,u)),W(f,s.shape)},scale:()=>{let f=z(d,h),g=z(e,f);return s.rank===1&&(g=fe(g,u)),W(g,s.shape)},offset:()=>{let f=e;return s.rank===1&&(f=fe(f,u)),W(f,s.shape)}}}},EB={kernelName:Ql,inputsToSave:["x","indices"],gradFunc:(e,t,n)=>{let[a,r]=t,{axis:s}=n,i=Da(s,a.shape)[0];return{x:()=>{let o=a.shape,l=r.size,u=o.slice(0,i),p=u.length,d=o.slice(s,o.length).slice(1),c=d.length,h=xk(0,p),m=xk(p+1,p+1+c),f=vk([u,[l],d]),g=W(e,f),y=W(r,[l]),b=vk([[p],h,m]),x=Ee(g,b),w=gf(x,y,a.shape[i]),I=cv(b);return w=Ee(w,I),w},indices:()=>r}}};function xk(e,t){let n=[];for(let a=e;a{let[n,a]=t;return{a:()=>qe(n),b:()=>qe(a)}}},$B={kernelName:Oi,gradFunc:e=>({x:()=>ie(e,"float32")})},FB={kernelName:nu,gradFunc:e=>({x:()=>qe(e)})},RB={kernelName:au,gradFunc:e=>({x:()=>qe(e)})},DB={kernelName:Li,gradFunc:e=>({x:()=>qe(e)})},MB={kernelName:zi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{alpha:r}=n,s=Cn(a,0);return{x:()=>gn(s,e,z(e,r))}}},PB={kernelName:iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,X(n,1))}}},OB={kernelName:Wi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ie(n,"float32"))}}},LB={kernelName:eS,inputsToSave:[],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n;return{logits:()=>{let s=yn(a);return pe(e,z(fe(e,r,!0),s))}}}};function zB(e,t,n,a=5,r=1,s=1,i=.5){let o={x:e,y:t,dy:n},l={depthRadius:a,bias:r,alpha:s,beta:i};return O.runKernel(_m,o,l)}var WB=L({localResponseNormalizationBackprop_:zB}),BB={kernelName:gc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;return{x:()=>WB(a,r,e,s,i,o,l)}}};function aN(e,t,n,a){return t.rankz(e,ie(Qn(n,t),e.dtype))}}var wk={kernelName:Bi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{reductionIndices:r}=a,s=t[0],i=t[1],o=Da(r,s.shape),l=aN(e,i,s,o);return{x:()=>l.x()}}},VB={kernelName:Vi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,ie(Dr(n,a),"float32")),b:()=>z(e,ie(Jm(n,a),"float32"))}}};function UB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPool3dGrad"),l=_(t,"input","maxPool3dGrad"),u=_(n,"output","maxPool3dGrad"),p=o,d=l,c=u,h=!1;l.rank===4&&(h=!0,p=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),d=W(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),c=W(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),A(p.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${p.rank}.`),A(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),A(c.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${c.rank}.`),Nn("maxPool3dGrad",s,i);let m={dy:p,input:d,output:c},f={filterSize:a,strides:r,pad:s,dimRoundingMode:i},g=O.runKernel(Am,m,f);return h?W(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var GB=L({maxPool3dGrad_:UB}),HB={kernelName:yc,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n;return{x:()=>GB(e,a,r,s,i,o,l)}}};function qB(e,t,n,a,r,s,i){let o=_(e,"dy","maxPoolGrad"),l=_(t,"input","maxPoolGrad"),u=_(n,"output","maxPoolGrad");A(l.rank===o.rank,()=>`Rank of input (${l.rank}) does not match rank of dy (${o.rank})`),A(o.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${o.rank}.`),A(l.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${l.rank}.`),Nn("maxPoolGrad",s,i);let p={dy:o,input:l,output:u},d={filterSize:a,strides:r,pad:s,dimRoundingMode:i};return O.runKernel(Em,p,d)}var jB=L({maxPoolGrad_:qB}),KB={kernelName:Ui,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a,r]=t,{filterSize:s,strides:i,pad:o}=n;return{x:()=>jB(e,a,r,s,i,o)}}},XB={kernelName:Gi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=Da(r,a.shape),i=RS(a.shape,s)[1],o=mt(i);return{x:()=>{let l=a.shape.slice();s.forEach(p=>{l[p]=1});let u=W(e,l);return he(z(u,Jn(a.shape,"float32")),o)}}}},YB={kernelName:Hi,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(e,t,n)=>{let a=n,{axis:r}=a,[s,i]=t,o=Da(r,s.shape),l=aN(e,i,s,o);return{x:()=>l.x()}}},ZB={kernelName:qi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t;return{a:()=>z(e,ie(Cs(n,a),"float32")),b:()=>z(e,ie(Cn(n,a),"float32"))}}},JB={kernelName:ji,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Ve(e,s,a.shape)}}},QB={kernelName:pu,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Wt(n.shape,r);return s.length>0?W(fe(e,s),n.shape):e},b:()=>{let s=z(e,vt(Lu(he(n,a)))),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},e4={kernelName:Ki,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=z(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);return i.length>0?W(fe(s,i),a.shape):s}}}},t4={kernelName:cu,gradFunc:e=>({x:()=>vt(e)})},n4={kernelName:Xi,inputsToSave:["indices"],gradFunc:(e,t)=>{let n=t[0];return{indices:()=>It(n.shape,"float32")}}},a4={kernelName:gu,gradFunc:e=>({x:()=>qe(e)})},r4={kernelName:yu,saveAllInputs:!0,gradFunc:(e,t,n)=>{let{axis:a}=n;return ut(e,a).map(r=>()=>r)}},kk={kernelName:Yi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let a=t[0],{paddings:r}=n,s=r.map(i=>i[0]);return{x:()=>Ve(e,s,a.shape)}}},s4={kernelName:Zi,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(e,t)=>{let[n,a,r]=t,s=n,i=a,o=lt(s.shape,i.shape);return{a:()=>{let l=ie(i,"float32"),u=z(e,z(l,Rr(s,pe(l,xe(1))))),p=Wt(s.shape,o);return p.length>0&&(u=fe(u,p)),W(u,s.shape)},b:()=>{let l=Cn(s,0),u=gn(l,ea(s),qe(s)),p=z(e,z(r,u)),d=Wt(i.shape,o);return d.length>0&&(p=fe(p,d)),W(p,i.shape)}}}},i4={kernelName:Ji,inputsToSave:["x","alpha"],gradFunc:(e,t)=>{let[n,a]=t,r=Cn(n,0);return{x:()=>gn(r,e,z(e,a)),alpha:()=>{let s=gn(r,qe(e),z(e,n)),i=Wt(a.shape,e.shape);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}};function o4(e,t,n){let a=e.shape.slice();a[n]=1;let r=W(t,a),s=Qp(e,n,!0,!1),i=Qp(e,n,!0,!0),o=z(s,i);return z(r,o)}function l4(e,t,n){let a=e.shape.length,r=a-n.length,s=N.getAxesPermutation(n,a),i=e;s!=null&&(i=Ee(e,s));let o=i.shape.slice(),l=o.splice(a-n.length,n.length).reduce((d,c)=>d*c,1);o.push(l);let u=i.reshape(o),p=o4(u,t,r);if(p=p.reshape(i.shape),s!=null){let d=N.getUndoAxesPermutation(s);p=Ee(p,d)}return p}var u4={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{axis:r}=n,s=[];return r==null?s=a.shape.map((i,o)=>o):typeof r=="number"?s=[r]:s=r,{x:()=>l4(a,e,s)}}},p4={kernelName:Ai,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=he(e,ie(a,"float32")),i=Wt(n.shape,r);return i.length>0?W(fe(s,i),n.shape):s},b:()=>{let s=z(e,ie(n,"float32")),i=Wt(a.shape,r);i.length>0&&(s=W(fe(s,i),a.shape));let o=ot(a);return vt(he(s,ie(o,"float32")))}}}},c4={kernelName:eo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,vt(ot(n)))}}},d4={kernelName:ro,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t,a=z(Cs(n,6),vo(n));return{x:()=>z(e,ie(a,"float32"))}}},h4={kernelName:to,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,ie(vo(n),"float32"))}}},m4={kernelName:bu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>W(e,n.shape)}}},f4={kernelName:ao,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Lm,r,n)}}},g4={kernelName:no,inputsToSave:["images"],gradFunc:(e,t,n)=>{let[a]=t,r={dy:e,images:a};return{images:()=>O.runKernel(Om,r,n)}}},y4={kernelName:so,gradFunc:(e,t,n)=>{let{dims:a}=n,r=Da(a,e.shape);return{x:()=>ya(e,r)}}},b4={kernelName:io,gradFunc:e=>({x:()=>qe(e)})},x4={kernelName:oo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>vt(he(e,z(Rr(n,1.5),2)))}}},v4={kernelName:vu,inputsToSave:["condition"],gradFunc:(e,t)=>{let[n]=t;return{condition:()=>ie(qe(n),"float32"),t:()=>z(e,ie(n,e.dtype)),e:()=>z(e,ie(Lc(n),e.dtype))}}},w4={kernelName:wu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=Cn(n,xe(0)),r=xe(QT),s=xe(eN),i=z(e,s),o=z(z(e,r),yn(ie(n,"float32")));return gn(a,i,o)}}}},k4={kernelName:uo,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(n,pe(xe(1),n)))}}},I4={kernelName:Su,gradFunc:e=>({x:()=>qe(e)})},S4={kernelName:lo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Dc(ie(n,"float32")),e)}}},T4={kernelName:Iu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(Xm(ie(n,"float32")),e)}}},N4={kernelName:ku,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{begin:r,size:s}=n,i=a.shape,[o,l]=ZT(a,r,s),u=[];for(let p=0;pxa(e,u)}}},C4={kernelName:ho,outputsToSave:[!0],gradFunc:(e,t,n)=>{let[a]=t,{dim:r}=n,s=!0,i=z(e,a);return{logits:()=>pe(i,z(fe(i,[r],s),a))}}},_4={kernelName:Tu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,ha(n))}}},Ik={kernelName:Nu,gradFunc:(e,t,n)=>{let{blockShape:a,paddings:r}=n;return{x:()=>Rc(e,a,r)}}},Sk={kernelName:Cu,gradFunc:(e,t,n)=>{let{axis:a}=n;return{x:()=>Ze(e,a)}}},E4={kernelName:po,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,z(cn(ie(n,"float32")),2))}}},A4={kernelName:kc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,z(ie(n,"float32"),2))}}},$4={kernelName:mo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=xe(2);return{a:()=>z(e,z(r,pe(n,a))),b:()=>z(e,z(r,pe(a,n)))}}},F4={kernelName:Is,gradFunc:e=>({x:()=>qe(e)})},R4={kernelName:fo,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(vt(s),a.shape)}}}},D4={kernelName:co,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,r=a.shape.slice(),{axis:s}=n;Da(s,a.shape).forEach(l=>{r[l]=1});let i=W(e,r),o=z(i,Jn(a.shape,"float32"));return{x:()=>o}}},M4={kernelName:go,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ot(Dc(n)))}}},P4={kernelName:yo,outputsToSave:[!0],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(pe(xe(1),ot(n)),e)}}},O4={kernelName:ks,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{reps:r}=n;return{x:()=>{let s=qe(a);if(a.rank===1)for(let i=0;i{let a=n,{perm:r}=a,s=cv(r);return{x:()=>Ee(e,s)}}},z4={kernelName:Fu,gradFunc:(e,t,n)=>{let a=n,{axis:r}=a;return{value:()=>Ft(e,r)}}},W4={kernelName:Nc,inputsToSave:["segmentIds"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>B4(e,n)}}};function B4(e,t){let n=mr(t,qe(t)),a=zu(e,n),r=Dr(t,xe(0,"int32")),s=a.rank-r.rank;for(let o=0;o({x:()=>qe(e)})},U4=[nN,WW,BW,VW,UW,GW,HW,qW,jW,KW,XW,YW,QW,nB,aB,rB,sB,iB,oB,lB,uB,pB,dB,cB,fB,gB,yB,bB,xB,vB,p4,wB,kB,IB,SB,TB,CB,NB,_B,EB,AB,$B,FB,RB,DB,MB,PB,OB,LB,BB,wk,wk,VB,HB,KB,XB,YB,ZB,JB,QB,e4,t4,n4,a4,r4,kk,kk,s4,i4,u4,c4,d4,h4,m4,f4,g4,y4,b4,x4,v4,w4,k4,I4,S4,T4,N4,C4,_4,Ik,Ik,Sk,Sk,E4,$4,A4,F4,R4,D4,M4,P4,O4,L4,z4,W4,V4];for(let e of U4)tS(e);Q().prototype.abs=function(){return this.throwIfDisposed(),Lt(this)};Q().prototype.acos=function(){return this.throwIfDisposed(),Ox(this)};Q().prototype.acosh=function(){return this.throwIfDisposed(),Lx(this)};Q().prototype.add=function(e){return this.throwIfDisposed(),X(this,e)};Q().prototype.all=function(e,t){return this.throwIfDisposed(),qm(this,e,t)};Q().prototype.any=function(e,t){return this.throwIfDisposed(),Yp(this,e,t)};Q().prototype.argMax=function(e){return this.throwIfDisposed(),si(this,e)};Q().prototype.argMin=function(e){return this.throwIfDisposed(),zx(this,e)};Q().prototype.asScalar=function(){return this.throwIfDisposed(),A(this.size===1,()=>"The array must have only 1 element."),W(this,[])};Q().prototype.asType=function(e){return this.throwIfDisposed(),ie(this,e)};Q().prototype.as1D=function(){return this.throwIfDisposed(),W(this,[this.size])};Q().prototype.as2D=function(e,t){return this.throwIfDisposed(),W(this,[e,t])};Q().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),W(this,[e,t,n])};Q().prototype.as4D=function(e,t,n,a){return this.throwIfDisposed(),W(this,[e,t,n,a])};Q().prototype.as5D=function(e,t,n,a,r){return this.throwIfDisposed(),W(this,[e,t,n,a,r])};Q().prototype.asin=function(){return this.throwIfDisposed(),Wx(this)};Q().prototype.asinh=function(){return this.throwIfDisposed(),Bx(this)};Q().prototype.atan=function(){return this.throwIfDisposed(),Vx(this)};Q().prototype.atan2=function(e){return this.throwIfDisposed(),Ux(this,e)};Q().prototype.atanh=function(){return this.throwIfDisposed(),Gx(this)};Q().prototype.avgPool=function(e,t,n,a){return this.throwIfDisposed(),ba(this,e,t,n,a)};Q().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Rc(this,e,t)};Q().prototype.batchNorm=function(e,t,n,a,r){return this.throwIfDisposed(),Ts(this,e,t,n,a,r)};Q().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Zs(this,e)};Q().prototype.cast=function(e){return this.throwIfDisposed(),ie(this,e)};Q().prototype.ceil=function(){return this.throwIfDisposed(),Zx(this)};Q().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),tn(this,e,t)};Q().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Ne&&(e=[e]),Ze([this,...e],t)};Q().prototype.conv1d=function(e,t,n,a,r,s){return this.throwIfDisposed(),jm(this,e,t,n,a,r,s)};Q().prototype.conv2dTranspose=function(e,t,n,a,r){return this.throwIfDisposed(),Km(this,e,t,n,a,r)};Q().prototype.conv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Rt(this,e,t,n,a,r,s)};Q().prototype.cos=function(){return this.throwIfDisposed(),Dc(this)};Q().prototype.cosh=function(){return this.throwIfDisposed(),Xm(this)};Q().prototype.cumprod=function(e,t,n){return this.throwIfDisposed(),Qp(this,e,t,n)};Q().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),Ym(this,e,t,n)};Q().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),sv(this,e,t)};Q().prototype.depthwiseConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),Ns(this,e,t,n,a,r,s)};Q().prototype.dilation2d=function(e,t,n,a,r){return this.throwIfDisposed(),iv(this,e,t,n,a,r)};Q().prototype.divNoNan=function(e){return this.throwIfDisposed(),ov(this,e)};Q().prototype.div=function(e){return this.throwIfDisposed(),he(this,e)};Q().prototype.dot=function(e){return this.throwIfDisposed(),lv(this,e)};Q().prototype.elu=function(){return this.throwIfDisposed(),Pu(this)};Q().prototype.equal=function(e){return this.throwIfDisposed(),Qn(this,e)};Q().prototype.erf=function(){return this.throwIfDisposed(),uv(this)};Q().prototype.euclideanNorm=function(e,t){return this.throwIfDisposed(),dv(this,e,t)};Q().prototype.exp=function(){return this.throwIfDisposed(),yn(this)};Q().prototype.expandDims=function(e){return this.throwIfDisposed(),Qt(this,e)};Q().prototype.expm1=function(){return this.throwIfDisposed(),hv(this)};Q().prototype.fft=function(){return this.throwIfDisposed(),Uc(this)};Q().prototype.flatten=function(){return this.throwIfDisposed(),W(this,[this.size])};Q().prototype.floor=function(){return this.throwIfDisposed(),Lu(this)};Q().prototype.floorDiv=function(e){return this.throwIfDisposed(),Hm(this,e)};Q().prototype.gather=function(e,t){return this.throwIfDisposed(),zu(this,e,t)};Q().prototype.greaterEqual=function(e){return this.throwIfDisposed(),Dr(this,e)};Q().prototype.greater=function(e){return this.throwIfDisposed(),Cn(this,e)};Q().prototype.ifft=function(){return this.throwIfDisposed(),vl(this)};Q().prototype.irfft=function(){return this.throwIfDisposed(),hf(this)};Q().prototype.isFinite=function(){return this.throwIfDisposed(),mv(this)};Q().prototype.isInf=function(){return this.throwIfDisposed(),fv(this)};Q().prototype.isNaN=function(){return this.throwIfDisposed(),gv(this)};Q().prototype.leakyRelu=function(e){return this.throwIfDisposed(),Pc(this,e)};Q().prototype.lessEqual=function(e){return this.throwIfDisposed(),Cs(this,e)};Q().prototype.less=function(e){return this.throwIfDisposed(),Jm(this,e)};Q().prototype.localResponseNormalization=function(e,t,n,a){return this.throwIfDisposed(),yv(this,e,t,n,a)};Q().prototype.logSigmoid=function(){return this.throwIfDisposed(),bv(this)};Q().prototype.logSoftmax=function(e){return this.throwIfDisposed(),ef(this,e)};Q().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),tf(this,e,t)};Q().prototype.log=function(){return this.throwIfDisposed(),ea(this)};Q().prototype.log1p=function(){return this.throwIfDisposed(),Oc(this)};Q().prototype.logicalAnd=function(e){return this.throwIfDisposed(),Ra(this,e)};Q().prototype.logicalNot=function(){return this.throwIfDisposed(),Lc(this)};Q().prototype.logicalOr=function(e){return this.throwIfDisposed(),nf(this,e)};Q().prototype.logicalXor=function(e){return this.throwIfDisposed(),xv(this,e)};Q().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),Re(this,e,t,n)};Q().prototype.maxPool=function(e,t,n,a){return this.throwIfDisposed(),Dt(this,e,t,n,a)};Q().prototype.max=function(e,t){return this.throwIfDisposed(),ma(this,e,t)};Q().prototype.maximum=function(e){return this.throwIfDisposed(),mr(this,e)};Q().prototype.mean=function(e,t){return this.throwIfDisposed(),Ct(this,e,t)};Q().prototype.min=function(e,t){return this.throwIfDisposed(),gl(this,e,t)};Q().prototype.minimum=function(e){return this.throwIfDisposed(),Wu(this,e)};Q().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),wv(this,e,t)};Q().prototype.mod=function(e){return this.throwIfDisposed(),kv(this,e)};Q().prototype.mul=function(e){return this.throwIfDisposed(),z(this,e)};Q().prototype.neg=function(){return this.throwIfDisposed(),vt(this)};Q().prototype.norm=function(e,t,n){return this.throwIfDisposed(),Ou(this,e,t,n)};Q().prototype.notEqual=function(e){return this.throwIfDisposed(),ui(this,e)};Q().prototype.oneHot=function(e,t=1,n=0){return this.throwIfDisposed(),yl(this,e,t,n)};Q().prototype.onesLike=function(){return this.throwIfDisposed(),ta(this)};Q().prototype.pad=function(e,t){return this.throwIfDisposed(),xa(this,e,t)};Q().prototype.pool=function(e,t,n,a,r,s){return this.throwIfDisposed(),Iv(this,e,t,n,a,r,s)};Q().prototype.pow=function(e){return this.throwIfDisposed(),Rr(this,e)};Q().prototype.prelu=function(e){return this.throwIfDisposed(),Bc(this,e)};Q().prototype.prod=function(e,t){return this.throwIfDisposed(),Sv(this,e,t)};Q().prototype.reciprocal=function(){return this.throwIfDisposed(),Ev(this)};Q().prototype.relu=function(){return this.throwIfDisposed(),Ke(this)};Q().prototype.relu6=function(){return this.throwIfDisposed(),sf(this)};Q().prototype.reshapeAs=function(e){return this.throwIfDisposed(),W(this,e.shape)};Q().prototype.reshape=function(e){return this.throwIfDisposed(),W(this,e)};Q().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),NT(this,e,t,n)};Q().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),CT(this,e,t,n)};Q().prototype.reverse=function(e){return this.throwIfDisposed(),ya(this,e)};Q().prototype.rfft=function(){return this.throwIfDisposed(),Gc(this)};Q().prototype.round=function(){return this.throwIfDisposed(),of(this)};Q().prototype.rsqrt=function(){return this.throwIfDisposed(),lf(this)};Q().prototype.selu=function(){return this.throwIfDisposed(),uf(this)};Q().prototype.separableConv2d=function(e,t,n,a,r,s){return this.throwIfDisposed(),_s(this,e,t,n,a,r,s)};Q().prototype.sigmoid=function(){return this.throwIfDisposed(),ha(this)};Q().prototype.sign=function(){return this.throwIfDisposed(),Av(this)};Q().prototype.sin=function(){return this.throwIfDisposed(),pf(this)};Q().prototype.sinh=function(){return this.throwIfDisposed(),cf(this)};Q().prototype.slice=function(e,t){return this.throwIfDisposed(),Ve(this,e,t)};Q().prototype.softmax=function(e){return this.throwIfDisposed(),Xa(this,e)};Q().prototype.softplus=function(){return this.throwIfDisposed(),bo(this)};Q().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),Wc(this,e,t)};Q().prototype.split=function(e,t){return this.throwIfDisposed(),zn(this,e,t)};Q().prototype.sqrt=function(){return this.throwIfDisposed(),cn(this)};Q().prototype.square=function(){return this.throwIfDisposed(),ot(this)};Q().prototype.squaredDifference=function(e){return this.throwIfDisposed(),mf(this,e)};Q().prototype.squeeze=function(e){return this.throwIfDisposed(),Es(this,e)};Q().prototype.stack=function(e,t){this.throwIfDisposed();let n=e instanceof Ne?[this,e]:[this,...e];return Ft(n,t)};Q().prototype.step=function(e){return this.throwIfDisposed(),vo(this,e)};Q().prototype.stridedSlice=function(e,t,n,a,r,s,i,o){return this.throwIfDisposed(),$v(this,e,t,n,a,r,s,i,o)};Q().prototype.sub=function(e){return this.throwIfDisposed(),pe(this,e)};Q().prototype.sum=function(e,t){return this.throwIfDisposed(),fe(this,e,t)};Q().prototype.tan=function(){return this.throwIfDisposed(),Fv(this)};Q().prototype.tanh=function(){return this.throwIfDisposed(),oi(this)};Q().prototype.tile=function(e){return this.throwIfDisposed(),Ln(this,e)};Q().prototype.toBool=function(){return this.throwIfDisposed(),ie(this,"bool")};Q().prototype.toFloat=function(){return this.throwIfDisposed(),ie(this,"float32")};Q().prototype.toInt=function(){return this.throwIfDisposed(),ie(this,"int32")};Q().prototype.topk=function(e,t){return this.throwIfDisposed(),Rv(this,e,t)};Q().prototype.transpose=function(e){return this.throwIfDisposed(),Ee(this,e)};Q().prototype.unique=function(e){return this.throwIfDisposed(),Dv(this,e)};Q().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),gf(this,e,t)};Q().prototype.unstack=function(e){return this.throwIfDisposed(),ut(this,e)};Q().prototype.where=function(e,t){return this.throwIfDisposed(),gn(e,this,t)};Q().prototype.zerosLike=function(){return this.throwIfDisposed(),qe(this)};var Tr=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Tr.prototype)}},Ba=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Ba.prototype)}},V=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,V.prototype)}},Oe=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,Oe.prototype)}},rN=class extends Error{constructor(e){super(e),Object.setPrototypeOf(this,rN.prototype)}},sN=class{constructor(e){this.maxEntries=e||100,this.cache=new Map}get(e){let t;return this.cache.has(e)&&(t=this.cache.get(e),this.cache.delete(e),this.cache.set(e,t)),t}put(e,t){if(this.cache.has(e))this.cache.delete(e);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(e,t)}getMaxEntries(){return this.maxEntries}setMaxEntries(e){if(e<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${e}.`);if(this.maxEntries>e)for(let t=0;tn.toUpperCase())}var Ta={};function nw(e){if(e==null)return null;let t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function Vb(e){if(!(e==null||typeof e!="object"))if(Array.isArray(e))e.forEach(t=>Vb(t));else{let t=Object.keys(e);for(let n of t){let a=e[n];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?e[n]=a.value:Vb(a))}}}function qc(e,t={},n={},a="object",r=!1){if(typeof e=="string"){let s=e,i;if(s in n)i=n[s];else if(s in Ta)i=Ta[s];else if(i=t[s],i==null)throw new V(`Unknown ${a}: ${e}. This may be due to one of the following reasons: @@ -37,13 +37,13 @@ Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)= 2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new V(`${a}: Improper config format: ${JSON.stringify(s)}. 'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Ta?[o,l]=Ta.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons: 1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. -2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ta))u[h]=Ta[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ta);for(let h of Object.keys(n))Ta[h]=n[h];Vb(s.config);let c=l(o,s.config,n,r);return Ta=Object.assign({},d),c}else{let u=Object.assign({},Ta);for(let d of Object.keys(n))Ta[d]=n[d];let p=new o(s.config);return Ta=Object.assign({},u),p}}}function G4(e,t){return et?1:0}function oh(e,t){return-1*G4(e,t)}function is(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function H4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function ko(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function aw(e,t,n=0,a=1/0){return rr(n>=0),rr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>en(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${iN(e)}.`)}function iN(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>iN(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function q4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return sl.set(n,1),n}else return e}var tV=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function dN(e){return!!e.match(tV)}function nV(e){return e===parseInt(e.toString(),10)}function os(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function qa(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=jc(e,1);return Ub(n,[1,t,1])})}function rV(e){let t=[os(e.shape)];return W(e,t)}function sV(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],os(e.shape,1)];return W(e,t)}function Qs(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return df(e,[t,0],[n,e.shape[1]]);case 3:return xo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return xl(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ve(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Ve(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function yb(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return df(e,[0,t],[e.shape[0],n]);case 3:return xo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return xl(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function uh(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:switch(a){case 1:return Qs(e,t,n);case 2:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Qs(e,t,n);case 2:return xo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Qs(e,t,n);case 2:return xl(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return xl(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function rw(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function Ck(e,t){switch(e.rank){case 1:return Jx([e,t]);case 2:return Qx([e,t],0);case 3:return ev([e,t],0);case 4:return tv([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Ub(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function Sf(e,t=0,n=1,a,r){return rf(e,t,n,a,r)}function ur(e,t,n,a){if(e.rank<2||t.rank<2)throw new Oe(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Oe(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return wl.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Gb(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(wl.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Gb(e.rank,a,ja()):null,activation:n}),d)}}function hN(e,t,n){return P(()=>(Array.isArray(t)?t=je(t,"int32"):t=ie(t,"int32"),zu(e,t,n)))}function Kc(e){return z(e,e)}function Gb(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Ya(e,t,n){return P(()=>(n==null&&(n=ja()),Mt(n),X(e,Gb(e.rank,t,n))))}function iV(e,t=1){if(t!==1)throw new Oe(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pu(e)}function oV(e){return P(()=>he(e,X(Lt(e),1)))}function mN(e,t,n,a){return P(()=>Wv(e,t,n,a))}function lV(e){return P(()=>{let t=X(.5,z(.2,e));return tn(t,0,1)})}function Xc(e,t,n=!1){return n?e():t()}var uV=["fanIn","fanOut","fanAvg"],pV=["normal","uniform","truncatedNormal"];function cV(e){ko(uV,"FanMode",e)}function dV(e){ko(pV,"Distribution",e)}var Pa=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},sw=class extends Pa{apply(e,t){return It(e,t)}};sw.className="Zeros";ne.registerClass(sw);var Tf=class extends Pa{apply(e,t){return Jn(e,t)}};Tf.className="Ones";ne.registerClass(Tf);var iw=class extends Pa{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(xe(this.value),Jn(e,t)))}getConfig(){return{value:this.value}}};iw.className="Constant";ne.registerClass(iw);var ow=class extends Pa{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Bu(e,this.minval,this.maxval,t,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};ow.className="RandomUniform";ne.registerClass(ow);var lw=class extends Pa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`randomNormal does not support dType ${t}.`);return Sf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};lw.className="RandomNormal";ne.registerClass(lw);var uw=class extends Pa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`truncatedNormal does not support dType ${t}.`);return ff(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};uw.className="TruncatedNormal";ne.registerClass(uw);var pw=class extends Pa{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Zm(e[0]))})}getConfig(){return{gain:this.gain}}};pw.className="Identity";ne.registerClass(pw);function hV(e,t="channelsLast"){let n,a;if(Mt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=os(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=os(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=os(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Pa{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,cV(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,dV(this.distribution),this.seed=e.seed}apply(e,t){let n=hV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`${this.getClassName()} does not support dType ${t}.`);return ff(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Bu(e,-i,i,t,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var Nf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Nf.className="GlorotUniform";ne.registerClass(Nf);var Cf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Cf.className="GlorotNormal";ne.registerClass(Cf);var _f=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};_f.className="HeNormal";ne.registerClass(_f);var Ef=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Ef.className="HeUniform";ne.registerClass(Ef);var Af=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Af.className="LeCunNormal";ne.registerClass(Af);var $f=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};$f.className="LeCunUniform";ne.registerClass($f);var cw=class extends Pa{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Oe("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Oe("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=Sf(n,0,1,"float32"),r=Gv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};cw.className="Orthogonal";ne.registerClass(cw);var _k={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Ek(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function _t(e){return nw(e)}function St(e){if(typeof e=="string"){let t=e in _k?_k[e]:e;if(t==="GlorotNormal")return new Cf;if(t==="GlorotUniform")return new Nf;if(t==="HeNormal")return new _f;if(t==="HeUniform")return new Ef;if(t==="LeCunNormal")return new Af;if(t==="LeCunUniform")return new $f;{let n={};return n.className=t,n.config={},Ek(n)}}else return e instanceof Pa?e:Ek(e)}function Hb(e){return Array.isArray(e)&&Array.isArray(e[0])}function zh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ce(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function Je(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Wh(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var Ak="Variable",fN=class{constructor(e,t="float32",n=Ak,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=lN(),n=n==null?Ak:n,this.originalName=pN(n),this.name=cN(this.originalName),this.trainable_=a,this.constraint=r,this.val=Mv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),mV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function mV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function qb(e){return e.map(t=>t.read())}function dw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Va=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=lN(),s!=null&&(this.originalName=pN(s),this.name=cN(this.originalName)),this.rank=t.length}},fV=0,Ff=class{constructor(e,t){this.callArgs=t,this.id=fV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},gV=0,Ue=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=gV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Nr(n)+"_"+If(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Ba(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Tr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new Tr(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Tr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Tr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=xt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=xt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of xt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=xt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Oe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=yV(e),i=this.computeOutputShape(s),o,l=bV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Va(l,u,this,xt(e),t,this.name,p)):o=new Va(l,i,this,xt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Oe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Tr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new Tr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ba(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Wh(this.weights)}build(e){this.built=!0}getWeights(e=!1){return qb(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=qb(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=xt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=xt(e);t=xt(t),n=xt(n),a=xt(a),r=zh(r),s=zh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new Ff({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function yV(e){e=xt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function bV(e){return"float32"}function gN(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Bh.get(p),c;if(d==null){let m=wV(i,t);d=m.sorted,c=m.recipientCounts,Bh.put(p,d),Vh.put(p,c)}c={},r||Object.assign(c,Vh.get(p));let h=new Ys(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=$),$0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=$k(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=$k(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:kV(a)}}function kV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function $k(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function IV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,vV);var bN={};Ae(bN,{maxNorm:()=>TV,minMaxNorm:()=>_V,nonNeg:()=>CV,unitNorm:()=>NV});function hw(e,t){return P(()=>cn(fe(z(e,e),t,!0)))}var Yc=class extends ne.Serializable{getConfig(){return{}}},mw=class extends Yc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=hw(e,this.axis),n=tn(t,0,this.maxValue);return z(e,he(n,X(qt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};mw.className="MaxNorm";ne.registerClass(mw);var fw=class extends Yc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,X(qt(),hw(e,this.axis))))}getConfig(){return{axis:this.axis}}};fw.className="UnitNorm";ne.registerClass(fw);var gw=class extends Yc{apply(e){return Ke(e)}};gw.className="NonNeg";ne.registerClass(gw);var yw=class extends Yc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=hw(e,this.axis),n=X(z(this.rate,tn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,X(qt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};yw.className="MinMaxNorm";ne.registerClass(yw);var Fk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Xt(e){return nw(e)}function Rk(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Yt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Fk?Fk[e]:e,config:{}};return Rk(t)}else return e instanceof Yc?e:Rk(e)}function TV(e){return new mw(e)}function NV(e){return new fw(e)}function CV(){return new gw}function _V(e){return new yw(e)}var xN={};Ae(xN,{constant:()=>$V,glorotNormal:()=>LV,glorotUniform:()=>OV,heNormal:()=>zV,heUniform:()=>WV,identity:()=>MV,leCunNormal:()=>BV,leCunUniform:()=>VV,ones:()=>AV,orthogonal:()=>UV,randomNormal:()=>RV,randomUniform:()=>FV,truncatedNormal:()=>DV,varianceScaling:()=>PV,zeros:()=>EV});function EV(){return new sw}function AV(){return new Tf}function $V(e){return new iw(e)}function FV(e){return new ow(e)}function RV(e){return new lw(e)}function DV(e){return new uw(e)}function MV(e){return new pw(e)}function PV(e){return new Bn(e)}function OV(e){return new Nf(e)}function LV(e){return new Cf(e)}function zV(e){return new _f(e)}function WV(e){return new Ef(e)}function BV(e){return new Af(e)}function VV(e){return new $f(e)}function UV(e){return new cw(e)}var vN={};Ae(vN,{Layer:()=>Ue,RNN:()=>gr,RNNCell:()=>td,activation:()=>gG,add:()=>TG,alphaDropout:()=>lH,average:()=>NG,averagePooling1d:()=>C0,averagePooling2d:()=>_0,averagePooling3d:()=>E0,avgPool1d:()=>MG,avgPool2d:()=>OG,avgPool3d:()=>zG,avgPooling1d:()=>PG,avgPooling2d:()=>LG,avgPooling3d:()=>WG,batchNormalization:()=>FG,bidirectional:()=>eH,categoryEncoding:()=>hH,centerCrop:()=>cH,concatenate:()=>CG,conv1d:()=>oG,conv2d:()=>lG,conv2dTranspose:()=>uG,conv3d:()=>pG,conv3dTranspose:()=>cG,convLstm2d:()=>YG,convLstm2dCell:()=>ZG,cropping2D:()=>hG,dense:()=>yG,depthwiseConv2d:()=>fG,dot:()=>$G,dropout:()=>bG,elu:()=>tG,embedding:()=>SG,flatten:()=>vG,gaussianDropout:()=>oH,gaussianNoise:()=>iH,globalAveragePooling1d:()=>BG,globalAveragePooling2d:()=>VG,globalMaxPool1d:()=>nH,globalMaxPool2d:()=>aH,globalMaxPooling1d:()=>c2,globalMaxPooling2d:()=>d2,gru:()=>GG,gruCell:()=>HG,input:()=>LN,inputLayer:()=>eG,layerNormalization:()=>RG,leakyReLU:()=>aG,lstm:()=>qG,lstmCell:()=>jG,masking:()=>uH,maxPool1d:()=>rH,maxPool2d:()=>sH,maxPooling1d:()=>h2,maxPooling2d:()=>m2,maxPooling3d:()=>UG,maximum:()=>_G,minimum:()=>EG,multiply:()=>AG,permute:()=>IG,prelu:()=>rG,reLU:()=>nG,repeatVector:()=>wG,rescaling:()=>pH,reshape:()=>kG,resizing:()=>dH,rnn:()=>JG,separableConv2d:()=>dG,simpleRNN:()=>KG,simpleRNNCell:()=>XG,softmax:()=>sG,spatialDropout1d:()=>xG,stackedRNNCells:()=>QG,thresholdedReLU:()=>iG,timeDistributed:()=>tH,upSampling2d:()=>mG,zeroPadding2d:()=>DG});async function Jr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sX(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Gt(t[n])}))}},IN=class extends Sl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew SN(n,t))}var _a=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),_a.checkForDuplicate(t),_a.constructors[e]==null&&(_a.constructors[e]=[]),_a.constructors[e].push(t)}static checkForDuplicate(e){for(let t in _a.constructors)_a.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){_a.constructors={}}static createCallbacks(e){let t=[];for(let n in _a.constructors){let a=+n;e>=a&&t.push(..._a.constructors[a])}return t.map(n=>new n)}};_a.constructors={};function NN(e,t,n,a,r,s,i,o,l){let u=new IN,p=[new HV,..._a.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new kN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ga(e,t={},n=!1){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function Uh(e,t){return P(()=>{e.dtype!=="float32"&&(e=ie(e,"float32"));let n=fe(Kc(e),t,!0),a=bn(n.shape,qt()),r=cn(mr(n,a));return he(e,r)})}function Io(e,t){return P(()=>Ct(Kc(pe(t,e)),-1))}function Rf(e,t){return P(()=>Ct(Lt(pe(t,e)),-1))}function Gu(e,t){return P(()=>{let n=pe(e,t),a=tn(Lt(e),qt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Ct(r,-1))})}function qV(e,t){return P(()=>{let n=tn(t,qt(),Number.MAX_VALUE),a=ea(X(1,n)),r=tn(e,qt(),Number.MAX_VALUE),s=ea(X(1,r));return Ct(Kc(pe(a,s)),-1)})}function jV(e,t){return P(()=>{let n=mr(0,pe(1,z(e,t)));return Ct(Kc(n),-1)})}function KV(e,t){return P(()=>{let n=mr(0,pe(1,z(e,t)));return Ct(n,-1)})}function XV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ma(z(pe(1,e),t),-1);return mr(0,X(1,pe(a,n)))})}function YV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(X(a,bo(z(-2,a))),n);return Ct(r,-1)})}function ec(e,t,n=!1){return P(()=>{if(n)t=Xa(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=tn(t,qt(),1-qt()),vt(fe(z(ie(e,"float32"),ea(t)),t.shape.length-1))})}function Gh(e,t,n=!1){return P(()=>{let a=ie(Lu(rV(e)),"int32");t=tn(t,qt(),1-qt());let r=t.shape,s=W(yl(a,r[r.length-1]),r);return ec(s,t,n)})}function ZV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Ke(t),a=vt(Lt(t));return X(pe(n,z(t,e)),Oc(yn(a)))})}function Df(e,t){return P(()=>{let n;return n=tn(t,qt(),1-qt()),n=ea(he(n,pe(1,n))),Ct(ZV(e,n),-1)})}function JV(e,t){return P(()=>{let n=tn(e,qt(),1),a=tn(t,qt(),1);return fe(z(e,ea(he(n,a))),-1)})}function QV(e,t){return P(()=>{let n=ea(X(qt(),t));return Ct(pe(t,z(e,n)),-1)})}function bw(e,t){return P(()=>{let n=Uh(e,-1),a=Uh(t,-1),r=z(n,a);return vt(fe(r,-1))})}var Hh={meanSquaredError:Io,meanAbsoluteError:Rf,meanAbsolutePercentageError:Gu,meanSquaredLogarithmicError:qV,squaredHinge:jV,hinge:KV,categoricalHinge:XV,logcosh:YV,categoricalCrossentropy:ec,sparseCategoricalCrossentropy:Gh,binaryCrossentropy:Df,kullbackLeiblerDivergence:JV,poisson:QV,cosineProximity:bw};function bb(e){if(typeof e=="string"){if(e in Hh)return Hh[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function xw(e,t){return P(()=>{let n=z(.5,ta(t)),a=lr(Cn(t,n),e.dtype);return Ct(Qn(e,a),-1)})}function vw(e,t){return P(()=>lr(Qn(si(e,-1),si(t,-1)),"float32"))}function CN(e,t){return P(()=>ie(fe(Ra(Qn(e,1),Qn(t,1))),"float32"))}function eU(e,t){return P(()=>ie(fe(Ra(Qn(e,1),Qn(t,0))),"float32"))}function tU(e,t){return P(()=>ie(fe(Ra(Qn(e,0),Qn(t,1))),"float32"))}function _N(e,t){return P(()=>{let n=CN(e,t),a=tU(e,t),r=X(n,a);return ie(gn(Cn(r,0),he(n,r),0),"float32")})}function nU(e,t){return P(()=>{let n=CN(e,t),a=eU(e,t),r=X(n,a);return ie(gn(Cn(r,0),he(n,r),0),"float32")})}function EN(e,t){return Df(e,t)}function AN(e,t){return e.rank===t.rank&&(e=Es(e,[e.rank-1])),t=si(t,-1),t.dtype!==e.dtype&&(t=ie(t,e.dtype)),ie(Qn(e,t),"float32")}var aU=Io,rU=Io,sU=Rf,iU=Rf,oU=Gu,lU=Gu,ww=ec,uU=bw,$N=Gh,qh={binaryAccuracy:xw,categoricalAccuracy:vw,precision:_N,categoricalCrossentropy:ww,sparseCategoricalCrossentropy:$N,mse:aU,MSE:rU,mae:sU,MAE:iU,mape:oU,MAPE:lU,cosine:uU};function pU(e){if(typeof e=="string"&&e in qh)return qh[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function ph(e){if(rr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Hh))if(Hh[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys(qh))if(qh[n]===e){t=n;break}return t!==void 0?t:e.name}}function cU(e){let t={Adagrad:()=>Gs.adagrad(.01),Adadelta:()=>Gs.adadelta(1,.95,qt()),Adam:()=>Gs.adam(.001,.9,.999,qt()),Adamax:()=>Gs.adamax(.002,.9,.999,qt(),0),RMSProp:()=>Gs.rmsprop(.001,.9,0,qt()),SGD:()=>Gs.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function Mk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!jb(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function jb(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!jb(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!jb(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function dU(e,t,n,a=console.log){let r=mU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),jh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function jh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function fU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];jh(o,t,n)}function gU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cy.name)}`);is(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(y=>y.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let y of this.outputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;this.outputLayers.push(b),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let y of this.inputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;rr(x===0,"input layer has >1 nodes"),rr(w===0,"input layer has >1 tensors"),this.inputLayers.push(b),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let y=0;yy.shape),this.internalOutputShapes=this.outputs.map(y=>y.shape);let t={},n={},a={},r={},s={},i=[],o=(y,b,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=y.sourceLayer,I=y.nodeIndex,T=y.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Ba(`The tensor ${y.name} at layer "${w.name}" is part of a cycle.`);if(b.indexOf(C)!==-1)return;this.containerNodes.add(nr.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let $=0;$=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let y of this.outputs)o(y,l,u);let p=i.slice().reverse();for(let y of p){n[y.id]=y,y.id in t||(t[y.id]=0);let b=t[y.id],x=a[y.outboundLayer.id]==null?0:a[y.outboundLayer.id];b=Math.max(b,x),a[y.outboundLayer.id]=b,r[y.outboundLayer.id]=y.outboundLayer,t[y.id]=b;for(let w=0;wparseInt(y,10)).sort(oh);this.layers=[];for(let y of h){let b=c[y];b.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of b)x instanceof nr&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(y=>parseInt(y,10)).sort(oh);let m=this.inputs.slice(),f=[];for(let y of h)for(let b of d[y]){let x=b.outboundLayer;if(x!=null){for(let w of b.inputTensors)if(m.indexOf(w)===-1)throw new Ba(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of b.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(y=>y.name);for(let y of g){let b=g.filter(x=>x===y).length;if(b!==1)throw new Ba(`The name "${y}" is used ${b} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new Ff({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(y=>null),outputMasks:this.outputs.map(y=>null),inputShapes:this.inputs.map(y=>y.shape),outputShapes:this.outputs.map(y=>y.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}dw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${kw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Kb(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=xt(e);let n=new Ys;for(let a=0;a{e=xt(e);let n;return t==null?n=ci(null,e.length):n=xt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=zh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(oh);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(oh);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,y,b;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),y=xt(p.call(x,m)),b=xt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),y=xt(p.call(f,m)),b=xt(p.computeMask(f,g));if(p.activityRegularizer)throw new Oe("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(y),b)}function l(f){let g=f.name,y=Ga(f,t.customObjects!=null?t.customObjects:{});y.setFastWeightInitDuringBuild(a),r[g]=y,f.inboundNodes.forEach(b=>{if(!(b instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${b}`);i(y,b)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!H4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let y=s[g.name];delete s[g.name];for(let b of y)o(g,b)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],y=f[1],b=f[2];rr(g in r);let x=r[g].inboundNodes[y].outputTensors;d.push(x[b])}let m=t.outputLayers;for(let f of m){let g=f[0],y=f[1],b=f[2];rr(g in r);let x=r[g].inboundNodes[y].outputTensors;c.push(x[b])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function yU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function RN(e,t){return yU(e,t,"classWeight")}async function DN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return or(e);if(e.shape.length===2){if(e.shape[1]>1)return si(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),je(i,"float32")}else return null}function bU(e,t){return z(e,t)}var xU=32;function MN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=Pk("input",e.inputNames,n),i=Pk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function Pk(e,t,n){if(n instanceof Ne)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function vU(e){if(e.length===3)throw new Oe("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function wU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(Ok(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=vU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=TN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=NN(p,d,n.epochs,null,null,kU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;Ok(n.validationData)?w=xt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=xt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?xU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Oe("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=IU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=MN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fX(s[f],z(m,g))),l>0&&_e(y)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function Cp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Qs(a,t,n-t)):Qs(e,t,n-t)}function Xb(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>Xb(n,t)):hN(e,t.dtype==="int32"?t:ie(t,"int32")))}function vb(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}function PN(e){let t=[];e instanceof Ne&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Ne)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function TU(e){return e instanceof Ne}function Yb(e){return Array.isArray(e)}function Lk(e){return!TU(e)&&!Yb(e)}function zk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Yb(e)&&e.length>0)i=!0;else if(Lk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(Lk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Yb(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=PN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function NU(e,t,n){let a=is(e.map(s=>s.shape[0]));a.sort();let r=is(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function CU(e,t,n){let a=[Io,Df,ec];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var EU="layers-model",$r=class extends nr{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");dU(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=cU(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Pr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(bb(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>bb(s))}else{let s=bb(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=_U(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Js("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===Df?["accuracy","acc"].indexOf(c)!==-1?p=xw:["crossentropy","ce"].indexOf(c)!==-1&&(p=EN):this.lossFunctions[s]===Gh?["accuracy","acc"].indexOf(c)!==-1?p=AN:["crossentropy","ce"].indexOf(c)!==-1&&(p=$N):["accuracy","acc"].indexOf(c)!==-1?p=vw:["crossentropy","ce"].indexOf(c)!==-1&&(p=ww);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=pU(c),u=l+ph(c);let h;Js(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;xb(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{za(s[0],e),za(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),SU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Ys;if(e instanceof Ne&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Oe("Verbose predictLoop() is not implemented yet.");let r=vb(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=Cp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=PN(e);Wk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return xb(a),this.predictLoop(n,a)}finally{za(n,e)}}predictOnBatch(e){Wk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Ba("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=RN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Oe("Verbose mode is not implemented yet.");if(r!=null)throw new Oe("steps mode in testLoop() is not implemented yet");{let o=vb(s,n),l=je(qa(0,s));for(let u=0;u1){let s=Tk(e.slice(0,n),a);r+=`_${s}`}t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=X(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;l0){if(f=!0,n.validationData.length===2)o=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new Oe("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let C=!0,E=await this.standardizeUserData(o,l,null,null,C,c);u=E[0],p=E[1],g=u.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){f=!0;let C=Math.floor(a[0].shape[0]*(1-n.validationSplit)),E=a[0].shape[0];u=Cp(a,C,E),s=a,a=Cp(a,0,C),p=Cp(r,C,E),i=r,r=Cp(r,0,C),g=u.concat(p)}else n.validationSteps!=null&&(f=!0);let y=a.concat(r).concat(d);this.checkTrainableWeightsConsistency();let b=this.makeTrainFunction(),x=this.getDedupedMetricsNames(),w,I;f?(this.makeTestFunction(),w=this.testFunction,I=x.slice().concat(x.map(C=>"val_"+C))):(w=null,g=[],I=x.slice());let T=TN(n.callbacks,n.yieldEvery);return await this.fitLoop(b,y,x,c,n.epochs,n.verbose,T,w,g,n.shuffle,I,n.initialEpoch,null,null)}finally{this.isTraining=!1,za(a,e),za(r,t),za(s,e),za(i,t),za(u,o),za(p,l),d!=null&&_e(d)}}async fitLoop(e,t,n,a,r,s,i,o,l,u,p,d,c,h){a==null&&(a=32),r==null&&(r=1),u==null&&(u=!0),d==null&&(d=0);let m=!1;if(o!=null&&l!=null&&(m=!0),h!=null&&(m=!0,c==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let f=this.checkNumSamples(t,a,c,"steps_per_epoch"),g;f!=null&&(g=qa(0,f)),s==null&&(s=1);let{callbackList:y,history:b}=NN(i,s,r,d,f,c,a,m,p);y.setModel(this),this.history=b,await y.onTrainBegin(),this.stopTraining_=!1;for(let x=d;x{let $=T[C][0],R=T[C][1],F=Qs(I,$,R-$);E.batch=C,E.size=R-$;let S=Xb(t,F),M=e(S);for(let B=0;BNr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Nr(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Nr(ph(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Nr(ph(e)));{let e={};for(let t in this.metrics)e[t]=Nr(ph(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=tc(e.optimizer_config),n=Ga(t),a;if(typeof e.loss=="string")a=js(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>js(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=js(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>js(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=js(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ht.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ht.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:EU,generatedBy:`TensorFlow.js tfjs-layers v${kw}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ht.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ht.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(Mk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){Mk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};$r.className="Model";ne.registerClass($r);var ON=class extends $r{};ON.className="Functional";ne.registerClass(ON);async function AU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=tc(n),r=Ga(a,t);if(e.weightsManifest!=null){let s=await Ht.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function $U(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ht.getLoadHandlers(e,t);if(n.length===0)n.push(Ht.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return FU(e,void 0,t)}async function FU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ga(tc(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=RU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function RU(e,t){let n=Ht.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var Tl=class extends $r{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:If("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof Tl||e instanceof $r,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=yN({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=gN(this.outputs[0])}this.inboundNodes=[],new Ff({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:ci(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(Je(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new $r({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof Tl))throw new Oe(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ga(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};Tl.className="Sequential";ne.registerClass(Tl);function DU(e){return new $r(e)}function MU(e){return new Tl(e)}function LN(e){return yN(e)}function PU(e,t){_a.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},zN=class extends Un{apply(e,t=1){return iV(e,t)}};zN.className="elu";ne.registerClass(zN);var WN=class extends Un{apply(e){return uf(e)}};WN.className="selu";ne.registerClass(WN);var BN=class extends Un{apply(e){return Ke(e)}};BN.className="relu";ne.registerClass(BN);var VN=class extends Un{apply(e){return P(()=>Wu(6,Ke(e)))}};VN.className="relu6";ne.registerClass(VN);var UN=class extends Un{apply(e){return e}};UN.className="linear";ne.registerClass(UN);var GN=class extends Un{apply(e){return ha(e)}};GN.className="sigmoid";ne.registerClass(GN);var HN=class extends Un{apply(e){return lV(e)}};HN.className="hardSigmoid";ne.registerClass(HN);var qN=class extends Un{apply(e){return bo(e)}};qN.className="softplus";ne.registerClass(qN);var jN=class extends Un{apply(e){return oV(e)}};jN.className="softsign";ne.registerClass(jN);var KN=class extends Un{apply(e){return oi(e)}};KN.className="tanh";ne.registerClass(KN);var Iw=class extends Un{apply(e,t=-1){return Xa(e,t)}};Iw.className="softmax";ne.registerClass(Iw);var XN=class extends Un{apply(e,t=-1){return ef(e,t)}};XN.className="logSoftmax";ne.registerClass(XN);var YN=class extends Un{apply(e,t=1){return P(()=>z(ha(z(e,t)),e))}};YN.className="swish";ne.registerClass(YN);var ZN=class extends Un{apply(e){return P(()=>z(e,oi(bo(e))))}};ZN.className="mish";ne.registerClass(ZN);function hs(e){return e.getClassName()}function wb(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function ms(e){if(e==null){let t={};return t.className="linear",t.config={},wb(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},wb(t)}else return e instanceof Un?e:wb(e)}function Sw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var JN=class extends ne.Serializable{},Zc=class extends JN{constructor(e){super(),Sw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=X(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=X(t,fe(z(this.l2,Kc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Zc.className="L1L2";ne.registerClass(Zc);function OU(e){return Sw(e),new Zc({l1:e!=null?e.l1:null,l2:0})}function LU(e){return Sw(e),new Zc({l2:e!=null?e.l2:null,l1:0})}var Bk={l1l2:"L1L2"};function ct(e){return nw(e)}function Vk(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Bk?Bk[e]:e,config:{}};return Vk(t)}else return e instanceof JN?e:Vk(e)}var Tw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ce(e);let n=Ke(e);return this.maxValue!=null&&(n=tn(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};Tw.className="ReLU";ne.registerClass(Tw);var Nw=class extends Ue{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ce(e);return Pc(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};Nw.className="LeakyReLU";ne.registerClass(Nw);var Cw=class extends Ue{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Yt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=Je(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function QN(e,t){return P(()=>(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function zU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Oe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=jm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Ya(o,n)),o})}function Uk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=$w(e,s);if(r==="causal")throw new Oe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=wl.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function WU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=QN(e,s);if(r==="causal")throw new Oe("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=av(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Ya(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var Fw=class extends Ue{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Fw.verifyArgs(t),this.rank=e,en(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Oe(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=hl(t.kernelSize,e,"kernelSize"),this.strides=hl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,va(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Mt(this.dataFormat),this.activation=ms(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Yt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=hl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(rr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:hs(this.activation),useBias:this.useBias,biasInitializer:_t(this.biasInitializer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},Jc=class extends Fw{constructor(e,t){super(e,t),this.kernel=null,Jc.verifyArgs(t),this.filters=t.filters,en(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Yt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n,a=this.bias==null?null:this.bias.read(),r=oN(this.activation.getClassName());if(r!=null&&this.rank===2)n=Uk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=zU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=Uk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=WU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Oe("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=Je(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},Qc=class extends Jc{constructor(e){super(2,e),Qc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Qc.className="Conv2D";ne.registerClass(Qc);var ed=class extends Jc{constructor(e){super(3,e),ed.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};ed.className="Conv3D";ne.registerClass(ed);var Rw=class extends Qc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=sr(o,d,u,this.padding),m=sr(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Km(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Ya(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=sr(t[a],o,s,this.padding),t[r]=sr(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Rw.className="Conv2DTranspose";ne.registerClass(Rw);var Dw=class extends ed{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],y=sr(l,m,d,this.padding),b=sr(u,f,c,this.padding),x=sr(p,g,h,this.padding),w=[r,y,b,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=rv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Ya(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=sr(t[a],u,i,this.padding),t[r]=sr(t[r],p,o,this.padding),t[s]=sr(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Dw.className="Conv3DTranspose";ne.registerClass(Dw);var e2=class extends Jc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Yt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Yt(t.pointwiseConstraint)}build(e){if(e=Je(e),e.length{e=Ce(e);let n;if(this.rank===1)throw new Oe("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=_s(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.pointwiseInitializer=_t(this.pointwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.pointwiseRegularizer=ct(this.pointwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseConstraint),e.pointwiseConstraint=Xt(this.pointwiseConstraint),e}};e2.className="SeparableConv";var Mw=class extends e2{constructor(e){super(2,e)}};Mw.className="SeparableConv2D";ne.registerClass(Mw);var Mf=class extends Jc{constructor(e){super(1,e),Mf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};Mf.className="Conv1D";ne.registerClass(Mf);var Pw=class extends Ue{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ce(e),this.dataFormat==="channelsLast"){let n=uh(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return uh(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=uh(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return uh(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="Cropping2D";ne.registerClass(Pw);var Ow=class extends Ue{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,Q4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ce(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?$a.resizeNearestNeighbor(n,[r,s]):$a.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?$a.resizeNearestNeighbor(n,[r,s]):$a.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Ow.className="UpSampling2D";ne.registerClass(Ow);function BU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Mt(r);let i=$w(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Ns(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Lw=class extends Fw{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Yt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=Je(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n=BU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ha(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ha(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseRegularizer),e}};Lw.className="DepthwiseConv2D";ne.registerClass(Lw);function t2(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function n2(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(qa(2,l));if(t=Ee(t,u),s!=null)throw new Oe("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=ie(ie(r,"bool"),"float32"),r.rank===l-1&&(r=Qt(r,-1)),r=Ee(r,u)),a&&(t=ya(t,0),r!=null&&(r=ya(r,0)));let p=[],d,c=n,h=t.shape[0],m=ut(t),f;r!=null&&(f=ut(r));for(let y=0;ye(b,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[y],T=pe(ta(I),I),C=X(z(x[0],I),z(c[0],T)),E=c.map(($,R)=>X(z(x[1][R],I),z($,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var gr=class extends Ue{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Lf({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return qa(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Hb(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Tr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aGt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Va){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ce(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=n2((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=jc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ub(t,[1,n]):t):this.cell.stateSize>1?[Ub(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===gr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ga(a,n);return new e(Object.assign(t,{cell:r}))}};gr.className="RNN";ne.registerClass(gr);var td=class extends Ue{},Pf=class extends td{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ta(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ta(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=ur(z(e,s),this.kernel.read()):r=ur(e,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),i!=null&&(n=z(n,i));let o=X(r,ur(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:hs(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),recurrentInitializer:_t(this.recurrentInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),recurrentRegularizer:ct(this.recurrentRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),recurrentConstraint:Xt(this.recurrentConstraint),biasConstraint:Xt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};Pf.className="SimpleRNNCell";ne.registerClass(Pf);var zw=class extends gr{constructor(e){e.cell=new Pf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};zw.className="SimpleRNN";ne.registerClass(zw);var Of=class extends td{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ms(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ta(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Ww.className="GRU";ne.registerClass(Ww);var nd=class extends td{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ms(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=Je(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Pa{apply(i,o){let l=r.apply([s]),u=new Tf().apply([s]),p=r.apply([s*2]);return Ck(Ck(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ta(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Bw.className="LSTM";ne.registerClass(Bw);var Lf=class extends td{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Js(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ga(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return qb(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):mN(t(),n),o=()=>Xc(i,t,a);return!r||r<=1?Gt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Gt(l.clone()))}var VU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Tr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sGt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ha(l,a[0],r,s[0],i[0]),d=Ha(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};a2.className="ConvRNN2D";var zf=class extends nd{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,en(this.filters,"filters"),this.kernelSize=hl(n,2,"kernelSize"),this.kernelSize.forEach(o=>en(o,"kernelSize")),this.strides=hl(a||1,2,"strides"),this.strides.forEach(o=>en(o,"strides")),this.padding=r||"valid",va(this.padding),this.dataFormat=s||"channelsLast",Mt(this.dataFormat),this.dilationRate=hl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>en(o,"dilationRate"))}build(e){var t;e=Je(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Pa{apply(p,d){let c=l.apply([u]),h=Jn([u]),m=l.apply([u*2]);return rw([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ta(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,J,ee)=>!J||!J[ee]?Z:z(J[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ta(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),y=l(r,h,3),b=3,[x,w,I,T]=zn(this.kernel.read(),i,b),[C,E,$,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,$,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,b);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),y=this.recurrentConv(y,B);let U=this.recurrentActivation.apply(X(u,m)),G=this.recurrentActivation.apply(X(p,f)),j=X(z(G,s),z(U,this.activation.apply(X(d,g)))),K=z(this.recurrentActivation.apply(X(c,y)),this.activation.apply(j));return[K,K,j]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=VU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=Rt(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Ya(r,n,this.dataFormat):r}recurrentConv(e,t){return Rt(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};zf.className="ConvLSTM2DCell";ne.registerClass(zf);var Vw=class extends a2{constructor(e){let t=new zf(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Vw.className="ConvLSTM2D";ne.registerClass(Vw);var Wf=class extends Ue{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);if(0mN(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Wf.className="Dropout";ne.registerClass(Wf);var Uw=class extends Wf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Uw.className="SpatialDropout1D";ne.registerClass(Uw);var Gw=class extends Ue{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Yt(e.kernelConstraint),this.biasConstraint=Yt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=Je(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=Je(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=oN(this.activation.getClassName()),r;return a!=null?r=ur(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=ur(n,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:hs(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Gw.className="Dense";ne.registerClass(Gw);var Hw=class extends Ue{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=Je(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],os(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ce(e);return this.activation.apply(n)})}getConfig(){let e={activation:hs(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};qw.className="Activation";ne.registerClass(qw);var jw=class extends Ue{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ce(e),aV(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};jw.className="RepeatVector";ne.registerClass(jw);var Kw=class extends Ue{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ce(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Kw.className="Reshape";ne.registerClass(Kw);var Xw=class extends Ue{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=qa(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=Je(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ce(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Xw.className="Permute";ne.registerClass(Xw);var Yw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ce(e),a=-1;return Yp(ui(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=-1,r=!0,s=Yp(ui(n,this.maskValue),a,r);return z(n,ie(s,n.dtype))})}};Yw.className="Masking";ne.registerClass(Yw);var Zw=class extends Ue{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(xt(e.inputLength))}this.inputDim=e.inputDim,en(this.inputDim,"inputDim"),this.outputDim=e.outputDim,en(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Yt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ce(e),ui(e,qe(e))):null)}computeOutputShape(e){if(e=Je(e),this.inputLength==null)return[...e,this.outputDim];let t=xt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);n.dtype!=="int32"&&(n=lr(n,"int32"));let a=hN(this.embeddings.read(),W(n,[n.size]));return W(a,Je(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:_t(this.embeddingsInitializer),embeddingsRegularizer:ct(this.embeddingsRegularizer),activityRegularizer:ct(this.activityRegularizer),embeddingsConstraint:Xt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Zw.className="Embedding";ne.registerClass(Zw);var So=class extends Ue{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Oe}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&is(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=ds(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=qa(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(qa(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Qt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>rw(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Oe("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Oe("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Oe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>_p(r,e[s].shape.length)):a=[_p(this.axes,t.shape.length),_p(this.axes,n.shape.length)],this.normalize&&(t=Uh(t,a[0]),n=Uh(n,a[1])),UU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[_p(this.axes,e.length),_p(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Oe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};r0.className="Dot";ne.registerClass(r0);var s0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return Xc(()=>X(Sf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};s0.className="GaussianNoise";ne.registerClass(s0);var i0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return this.rate>0&&this.rate<1?Xc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,Sf(n.shape,1,a))},()=>n,t.training||!1):n})}};i0.className="GaussianDropout";ne.registerClass(i0);var o0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ce(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Xc(()=>{let a=Ce(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=Dr(Bu(n),this.rate);o=lr(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=X(z(a,o),z(X(o,-1),i));return X(z(p,l),u)},()=>Ce(e),t.training||!1)}return e})}};o0.className="AlphaDropout";ne.registerClass(o0);function nc(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=jx(e,t,n,a,r,s);else if(e.rank===3)i=Kx(e,t,n,a,r,s);else if(e.rank===4)i=Xx(e,t,n,a,r,s);else throw new Oe(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function GU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance;return[nc(e,i,o,n,t,r),i,o]})}function HU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance,l=[];for(let h of qa(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[nc(e,u,p,c,d,r),i,o]})}function qU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),qa(0,e.rank-1))?GU(e,t,n,a,r):HU(e,t,n,a,r)}var l0=class extends Ue{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Yt(e.betaConstraint),this.gammaConstraint=Yt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=Je(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ce(e),r=a.shape,s=r.length,i=qa(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=ci(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,qa(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),y=W(this.movingVariance.read(),l),b=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return nc(a,g,y,b,x,this.epsilon)}else return nc(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=qU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,y,b)=>{P(()=>{let x=1-b,w=g.read(),I=z(pe(w,y),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:_t(this.betaInitializer),gammaInitializer:_t(this.gammaInitializer),movingMeanInitializer:_t(this.movingMeanInitializer),movingVarianceInitializer:_t(this.movingVarianceInitializer),betaRegularizer:ct(this.betaRegularizer),gammaRegularizer:ct(this.gammaRegularizer),betaConstraint:Xt(this.betaConstraint),gammaConstraint:Xt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};l0.className="BatchNormalization";ne.registerClass(l0);var u0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=Je(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==is(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ce(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=zc(n,this.axis,!0),o=ci(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],xa(e,a)})}var p0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>jU(Ce(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};p0.className="ZeroPadding2D";ne.registerClass(p0);function Bf(e,t,n,a,r,s){return P(()=>{Mt(r),uN(s),va(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=$w(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ba(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function r2(e,t,n,a,r,s){return P(()=>{Mt(r),uN(s),va(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=QN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=vv(e,t,n,o):i=qx(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var s2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(en(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,va(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=Je(e);let t=Ha(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=jc(Ce(e),2);let n=this.poolingFunction(Ce(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Es(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},c0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"max")}};c0.className="MaxPooling1D";ne.registerClass(c0);var d0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"avg")}};d0.className="AveragePooling1D";ne.registerClass(d0);var i2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),va(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},h0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"max")}};h0.className="MaxPooling2D";ne.registerClass(h0);var m0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"avg")}};m0.className="AveragePooling2D";ne.registerClass(m0);var o2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),va(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),a=Ha(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},f0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),r2(e,t,n,a,r,"max")}};f0.className="MaxPooling3D";ne.registerClass(f0);var g0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),r2(e,t,n,a,r,"avg")}};g0.className="AveragePooling3D";ne.registerClass(g0);var l2=class extends Ue{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Oe}},y0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return Ct(n,1)})}};y0.className="GlobalAveragePooling1D";ne.registerClass(y0);var b0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return ma(n,1)})}};b0.className="GlobalMaxPooling1D";ne.registerClass(b0);var u2=class extends Ue{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Oe}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},x0=class extends u2{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?Ct(n,[1,2]):Ct(n,[2,3])})}};x0.className="GlobalAveragePooling2D";ne.registerClass(x0);var v0=class extends u2{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?ma(n,[1,2]):ma(n,[2,3])})}};v0.className="GlobalMaxPooling2D";ne.registerClass(v0);var p2=class extends Ue{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ga(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},w0=class extends p2{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=Je(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=Je(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ce(e),n2((n,a)=>[Ce(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};w0.className="TimeDistributed";ne.registerClass(w0);function KU(e){ko(J4,"BidirectionalMergeMode",e)}var XU="concat",k0=class extends p2{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ga(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ga(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?XU:e.mergeMode,KU(this.mergeMode),e.weights)throw new Oe("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Oe("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Va;for(let l of s)if(l instanceof Va!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ya(r,1));let i;return this.mergeMode==="concat"?i=rw([a,r]):this.mergeMode==="sum"?i=X(a,r):this.mergeMode==="ave"?i=z(.5,X(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Js(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Js(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ga(t.layer);if(delete t.layer,t.numConstants!=null)throw new Oe("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};k0.className="Bidirectional";ne.registerClass(k0);var I0=class extends Ue{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ce(e),e.dtype!=="float32"&&(e=lr(e,"float32")),X(z(e,this.scale),this.offset)))}};I0.className="Rescaling";ne.registerClass(I0);var{resizeBilinear:YU,cropAndResize:ZU}=$a,S0=class extends Ue{constructor(e){super(e),this.height=e.height,this.width=e.width}centerCrop(e,t,n,a,r,s,i,o){return P(()=>{let l,u=!1,p=t/s,d=n/i,c=(a+t)/s,h=(r+n)/i,m=[p,d,c,h],f=[];e.rank===3?(u=!0,l=Ft([e])):l=e;for(let x=0;x{let r=YU(e,[t,n]);return lr(r,a)})}call(e,t){return P(()=>{let n=Ce(e),a=n.dtype,r=n.shape,s=r[r.length-3],i=r[r.length-2],o=0;s!==this.height&&(o=Math.floor((s-this.height)/2));let l=0;return i!==this.width&&(l=Math.floor((i-this.width)/2),l===0&&(l=1)),o>=0&&l>=0?this.centerCrop(n,o,l,this.height,this.width,s,i,a):this.upsize(e,this.height,this.width,a)})}getConfig(){let e={height:this.height,width:this.width},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){e=Je(e);let t=e.length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}};S0.className="CenterCrop";ne.registerClass(S0);function JU(e,t,n,a){let r=Ce(e);if(r.dtype!=="int32"&&(r=lr(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Qt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Qt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=Lh(o,a,n,i):l=Lh(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var T0=class extends Ue{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=Je(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ce(e),e.dtype!=="int32"&&(e=lr(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. - Received countWeights=${t.countWeights}`);n=Ce(t.countWeights)}let a=ma(e),r=gl(e),s=Cn(this.numTokens,a).bufferSync().get(0),i=Dr(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return JU(e,this.outputMode,this.numTokens,n)})}};T0.className="CategoryEncoding";ne.registerClass(T0);var QU=["bilinear","nearest"],Gk=new Set(QU),N0=class extends Ue{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(Gk.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Je(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return $a.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return $a.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Gk]} are supported`)})}};N0.className="Resizing";ne.registerClass(N0);function eG(e){return new Uu(e)}function tG(e){return new _w(e)}function nG(e){return new Tw(e)}function aG(e){return new Nw(e)}function rG(e){return new Cw(e)}function sG(e){return new Aw(e)}function iG(e){return new Ew(e)}function oG(e){return new Mf(e)}function lG(e){return new Qc(e)}function uG(e){return new Rw(e)}function pG(e){return new ed(e)}function cG(e){return new Dw(e)}function dG(e){return new Mw(e)}function hG(e){return new Pw(e)}function mG(e){return new Ow(e)}function fG(e){return new Lw(e)}function gG(e){return new qw(e)}function yG(e){return new Gw(e)}function bG(e){return new Wf(e)}function xG(e){return new Uw(e)}function vG(e){return new Hw(e)}function wG(e){return new jw(e)}function kG(e){return new Kw(e)}function IG(e){return new Xw(e)}function SG(e){return new Zw(e)}function TG(e){return new Jw(e)}function NG(e){return new e0(e)}function CG(e){return new a0(e)}function _G(e){return new t0(e)}function EG(e){return new n0(e)}function AG(e){return new Qw(e)}function $G(e){return new r0(e)}function FG(e){return new l0(e)}function RG(e){return new u0(e)}function DG(e){return new p0(e)}function C0(e){return new d0(e)}function MG(e){return C0(e)}function PG(e){return C0(e)}function _0(e){return new m0(e)}function OG(e){return _0(e)}function LG(e){return _0(e)}function E0(e){return new g0(e)}function zG(e){return E0(e)}function WG(e){return E0(e)}function BG(e){return new y0(e)}function VG(e){return new x0(e)}function c2(e){return new b0(e)}function d2(e){return new v0(e)}function h2(e){return new c0(e)}function m2(e){return new h0(e)}function UG(e){return new f0(e)}function GG(e){return new Ww(e)}function HG(e){return new Of(e)}function qG(e){return new Bw(e)}function jG(e){return new nd(e)}function KG(e){return new zw(e)}function XG(e){return new Pf(e)}function YG(e){return new Vw(e)}function ZG(e){return new zf(e)}function JG(e){return new gr(e)}function QG(e){return new Lf(e)}function eH(e){return new k0(e)}function tH(e){return new w0(e)}var nH=c2,aH=d2,rH=h2,sH=m2;function iH(e){return new s0(e)}function oH(e){return new i0(e)}function lH(e){return new o0(e)}function uH(e){return new Yw(e)}function pH(e){return new I0(e)}function cH(e){return new S0(e)}function dH(e){return new N0(e)}function hH(e){return new T0(e)}var f2={};Ae(f2,{MAPE:()=>SH,MSE:()=>CH,binaryAccuracy:()=>mH,binaryCrossentropy:()=>fH,categoricalAccuracy:()=>yH,categoricalCrossentropy:()=>bH,cosineProximity:()=>wH,mape:()=>TH,meanAbsoluteError:()=>kH,meanAbsolutePercentageError:()=>IH,meanSquaredError:()=>NH,mse:()=>_H,precision:()=>xH,recall:()=>vH,sparseCategoricalAccuracy:()=>gH});function mH(e,t){return xw(e,t)}function fH(e,t){return EN(e,t)}function gH(e,t){return AN(e,t)}function yH(e,t){return vw(e,t)}function bH(e,t){return ww(e,t)}function xH(e,t){return _N(e,t)}function vH(e,t){return nU(e,t)}function wH(e,t){return bw(e,t)}function kH(e,t){return Rf(e,t)}function IH(e,t){return Gu(e,t)}function SH(e,t){return Gu(e,t)}function TH(e,t){return Gu(e,t)}function NH(e,t){return Io(e,t)}function CH(e,t){return Io(e,t)}function _H(e,t){return Io(e,t)}var g2={};Ae(g2,{modelFromJSON:()=>AU});var y2={};Ae(y2,{l1:()=>AH,l1l2:()=>EH,l2:()=>$H});function EH(e){return new Zc(e)}function AH(e){return OU(e)}function $H(e){return LU(e)}var b2=class extends Sl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof $r))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function ch(e,t){return et}var x2=class extends b2{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Oe("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=ch:this.mode==="max"?this.monitorFunc=Hk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Hk:this.monitorFunc=ch,this.monitorFunc===ch&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===ch?1/0:-1/0}async onEpochEnd(e,t){await Jr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function FH(e){return new x2(e)}var RH={earlyStopping:FH},DH=H();DH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ca;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ca||(Ca={}));var qk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(qk||(qk={}));var A0={};function MH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};A0[e]=n}function v2(e){return A0[e]}function PH(e){delete A0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return kn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>kn(d,n,a,r));let u=kn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function kn(e,t,n,a){let[r,s]=Yn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Kh(r,o)]);return i!==void 0?t[Kh(r,i)][s]:void 0}function OH(e,t,n){return t[Kh(e,n.currentContextId)]}function Cr(e,t){let[n,a,r]=Yn(e);return[Kh(n,t&&t.currentContextId),a,r]}function Kh(e,t){return t?`${e}-${t}`:e}function Yn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function vh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function _r(e){return e.kept?e:or(e)}var w2={};Ae(w2,{json:()=>LH});var LH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],k2={};Ae(k2,{json:()=>zH});var zH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],I2={};Ae(I2,{json:()=>WH});var WH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],S2={};Ae(S2,{json:()=>BH});var BH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],T2={};Ae(T2,{json:()=>VH});var VH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],N2={};Ae(N2,{json:()=>UH});var UH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],C2={};Ae(C2,{json:()=>GH});var GH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],_2={};Ae(_2,{json:()=>HH});var HH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],E2={};Ae(E2,{json:()=>qH});var qH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],A2={};Ae(A2,{json:()=>jH});var jH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],$2={};Ae($2,{json:()=>KH});var KH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],F2={};Ae(F2,{json:()=>XH});var XH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],R2={};Ae(R2,{json:()=>YH});var YH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],D2={};Ae(D2,{json:()=>ZH});var ZH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],M2={};Ae(M2,{json:()=>JH});var JH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],P2={};Ae(P2,{json:()=>QH});var QH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],O2={};Ae(O2,{json:()=>e6});var e6=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],L2={};Ae(L2,{json:()=>t6});var t6=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],z2={};Ae(z2,{json:()=>n6});var n6=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],jk=class{constructor(){let e=[w2,k2,I2,S2,T2,N2,C2,_2,E2,A2,$2,F2,R2,D2,M2,P2,O2,L2,z2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,y)=>{let[b,,x]=Cr(g),w=i[b];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${b}:${I}`;f.inputNames[y]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=Cr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=Cr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=v2(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Zb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Zb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=rx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=rx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Qb(e.attr,r.tfName,r.defaultValue||0),i===void 0&&!!r.tfDeprecatedName&&(i=Qb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=ax(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ax(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Jb(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=ix(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ix(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=nx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=nx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=sx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=sx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=ex(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=ex(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=tx(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=tx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Kk(e.attr,r.tfName,r.defaultValue),i===void 0&&!!r.tfDeprecatedName&&(i=Kk(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=Cr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:$0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=Cr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let y=`${h}:${g}`;p.inputNames[c]=y}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=Cr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function a6(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function W2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):a6(e);return t?n:n.toLowerCase()}function Zb(e,t,n,a=!1){let r=e[t];return r!=null?W2(r.s,a):n}function Jb(e,t,n){let a=e[t];return a?a.b:n}function Qb(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function $0(e){switch(typeof e=="string"&&(e=Ca[e]),e){case Ca.DT_FLOAT:case Ca.DT_HALF:return"float32";case Ca.DT_INT32:case Ca.DT_INT64:case Ca.DT_INT8:case Ca.DT_UINT8:return"int32";case Ca.DT_BOOL:return"bool";case Ca.DT_DOUBLE:return"float32";case Ca.DT_STRING:return"string";default:return null}}function Kk(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function ex(e,t,n){let a=e[t];return a&&a.type?$0(a.type):n}function tx(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>$0(r)):n}function B2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function nx(e,t,n){let a=e[t];return a&&a.shape?B2(a.shape):n}function ax(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function rx(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>W2(s,a)):n}function sx(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>B2(r)):n}function ix(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var r6=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return kn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return kn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Qb(this.node.rawAttrs,e,t);if(n.s!=null)return Zb(this.node.rawAttrs,e,t);if(n.b!=null)return Jb(this.node.rawAttrs,e,t);if(n.shape!=null)return nx(this.node.rawAttrs,e,t);if(n.type!=null)return ex(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return ax(this.node.rawAttrs,e,t);if(n.list.s!=null)return rx(this.node.rawAttrs,e,t);if(n.list.shape!=null)return sx(this.node.rawAttrs,e,t);if(n.list.b!=null)return ix(this.node.rawAttrs,e,t);if(n.list.type!=null)return tx(this.node.rawAttrs,e,t)}return t}},an={};Ae(an,{OP_SCOPE_SUFFIX:()=>$x,abs:()=>Lt,acos:()=>Ox,acosh:()=>Lx,add:()=>X,addN:()=>kS,all:()=>qm,any:()=>Yp,argMax:()=>si,argMin:()=>zx,asin:()=>Wx,asinh:()=>Bx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>ba,avgPool3d:()=>qx,basicLSTMCell:()=>NS,batchNorm:()=>Ts,batchNorm2d:()=>jx,batchNorm3d:()=>Kx,batchNorm4d:()=>Xx,batchToSpaceND:()=>Rc,bincount:()=>Yx,booleanMaskAsync:()=>dT,broadcastArgs:()=>CS,broadcastTo:()=>Zs,buffer:()=>ze,cast:()=>ie,ceil:()=>Zx,clipByValue:()=>tn,clone:()=>or,complex:()=>Fr,concat:()=>Ze,concat1d:()=>Jx,concat2d:()=>Qx,concat3d:()=>ev,concat4d:()=>tv,conv1d:()=>jm,conv2d:()=>Rt,conv2dTranspose:()=>Km,conv3d:()=>av,conv3dTranspose:()=>rv,cos:()=>Dc,cosh:()=>Xm,cosineWindow:()=>yf,cumprod:()=>Qp,cumsum:()=>Ym,denseBincount:()=>Lh,depthToSpace:()=>sv,depthwiseConv2d:()=>Ns,diag:()=>ES,dilation2d:()=>iv,div:()=>he,divNoNan:()=>ov,dot:()=>lv,dropout:()=>Wv,einsum:()=>$S,elu:()=>Pu,enclosingPowerOfTwo:()=>Bv,equal:()=>Qn,erf:()=>uv,euclideanNorm:()=>dv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>hv,eye:()=>Zm,fft:()=>Uc,fill:()=>bn,floor:()=>Lu,floorDiv:()=>Hm,fused:()=>wl,gather:()=>zu,gatherND:()=>yT,greater:()=>Cn,greaterEqual:()=>Dr,ifft:()=>vl,imag:()=>Mc,image:()=>$a,inTopKAsync:()=>bT,irfft:()=>hf,isFinite:()=>mv,isInf:()=>fv,isNaN:()=>gv,leakyRelu:()=>Pc,less:()=>Jm,lessEqual:()=>Cs,linalg:()=>Gv,linspace:()=>PS,localResponseNormalization:()=>yv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>bv,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>Ra,logicalNot:()=>Lc,logicalOr:()=>nf,logicalXor:()=>xv,losses:()=>AT,lowerBound:()=>LS,matMul:()=>Re,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>vv,maxPoolWithArgmax:()=>zS,maximum:()=>mr,mean:()=>Ct,meshgrid:()=>WS,min:()=>gl,minimum:()=>Wu,mirrorPad:()=>wv,mod:()=>kv,moments:()=>zc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>BS,multinomial:()=>VS,neg:()=>vt,norm:()=>Ou,notEqual:()=>ui,oneHot:()=>yl,ones:()=>Jn,onesLike:()=>ta,op:()=>L,outerProduct:()=>US,pad:()=>xa,pad1d:()=>GS,pad2d:()=>HS,pad3d:()=>qS,pad4d:()=>jS,pool:()=>Iv,pow:()=>Rr,prelu:()=>Bc,print:()=>Mx,prod:()=>Sv,raggedGather:()=>KS,raggedRange:()=>XS,raggedTensorToTensor:()=>YS,rand:()=>ZS,randomGamma:()=>tT,randomNormal:()=>rf,randomStandardNormal:()=>nT,randomUniform:()=>Bu,range:()=>pi,real:()=>bl,reciprocal:()=>Ev,relu:()=>Ke,relu6:()=>sf,reshape:()=>W,reverse:()=>ya,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Gc,round:()=>of,rsqrt:()=>lf,scalar:()=>xe,scatterND:()=>fT,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>_s,setdiff1dAsync:()=>oT,sigmoid:()=>ha,sign:()=>Av,signal:()=>ET,sin:()=>pf,sinh:()=>cf,slice:()=>Ve,slice1d:()=>Vc,slice2d:()=>df,slice3d:()=>xo,slice4d:()=>xl,softmax:()=>Xa,softplus:()=>bo,spaceToBatchND:()=>Wc,sparse:()=>$T,sparseToDense:()=>gT,spectral:()=>_T,split:()=>zn,sqrt:()=>cn,square:()=>ot,squaredDifference:()=>mf,squeeze:()=>Es,stack:()=>Ft,step:()=>vo,stridedSlice:()=>$v,string:()=>FT,sub:()=>pe,sum:()=>fe,tan:()=>Fv,tanh:()=>oi,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Fa,tensor3d:()=>Hc,tensor4d:()=>Ma,tensor5d:()=>lT,tensor6d:()=>uT,tile:()=>Ln,topk:()=>Rv,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Dv,unsortedSegmentSum:()=>gf,unstack:()=>ut,upperBound:()=>pT,variable:()=>Mv,where:()=>gn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>qe});var s6=(e,t,n,a=an)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=an)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(kn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(kn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Aa(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function Xk(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ep(e,t,n){let a=ox(e,n),r=!Xk(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=ox(s.shape,a)}),!Xk(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function ox(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var o6=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=xe(0),Gt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Aa(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Gt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ut(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to +2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ta))u[h]=Ta[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ta);for(let h of Object.keys(n))Ta[h]=n[h];Vb(s.config);let c=l(o,s.config,n,r);return Ta=Object.assign({},d),c}else{let u=Object.assign({},Ta);for(let d of Object.keys(n))Ta[d]=n[d];let p=new o(s.config);return Ta=Object.assign({},u),p}}}function G4(e,t){return et?1:0}function oh(e,t){return-1*G4(e,t)}function is(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function H4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function ko(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function aw(e,t,n=0,a=1/0){return rr(n>=0),rr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>en(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${iN(e)}.`)}function iN(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>iN(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function q4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a0){let n=`${e}_${t}`;return sl.set(n,1),n}else return e}var tV=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function dN(e){return!!e.match(tV)}function nV(e){return e===parseInt(e.toString(),10)}function os(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;rt&&(t=a)}return t}function qa(e,t){if(t{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=jc(e,1);return Ub(n,[1,t,1])})}function rV(e){let t=[os(e.shape)];return W(e,t)}function sV(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],os(e.shape,1)];return W(e,t)}function Qs(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return df(e,[t,0],[n,e.shape[1]]);case 3:return xo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return xl(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ve(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return Ve(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new V(`sliceAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}})}function yb(e,t,n){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:return df(e,[0,t],[e.shape[0],n]);case 3:return xo(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return xl(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function uh(e,t,n,a){return P(()=>{switch(e.rank){case 1:return Vc(e,t,n);case 2:switch(a){case 1:return Qs(e,t,n);case 2:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 3:switch(a){case 1:return Qs(e,t,n);case 2:return xo(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}case 4:switch(a){case 1:return Qs(e,t,n);case 2:return xl(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return xl(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return yb(e,t,n);default:throw new V(`The axis is not within the rank of the tensor ${a}`)}default:throw new V(`sliceAlongLastAxis() received an unsupported tensor rank: ${e.rank}`)}})}function rw(e,t=-1){let n;return t<0&&(n=e[0].rank,n!==0?t=n:t=0),t===e[0].rank&&(t=-1),Ze(e,t)}function Ck(e,t){switch(e.rank){case 1:return Jx([e,t]);case 2:return Qx([e,t],0);case 3:return ev([e,t],0);case 4:return tv([e,t],0);default:throw new V(`concatAlongFirstAxis() received an unsupported tensor rank: ${e.rank}`)}}function Ub(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new V(`The length of input n (${t.length}) does not match the number of dimensions in input x (${e.rank})`);return Ln(e,t)}function Sf(e,t=0,n=1,a,r){return rf(e,t,n,a,r)}function ur(e,t,n,a){if(e.rank<2||t.rank<2)throw new Oe(`dot requires both inputs to be rank >= 2 but got x shape = ${e.shape} and y shape = ${t.shape}`);if(t.rank>=3){let r=e.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(r!==s)throw new Oe(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${e.shape} and y shape = ${t.shape}`)}if(e.rank===2&&t.rank===2)return wl.matMul({a:e,b:t,transposeA:!1,transposeB:!1,bias:a?Gb(e.rank,a,ja()):null,activation:n});{let r=e.shape.slice(),s=r.pop();e=W(e,[-1,s]);let i=t.shape.slice(),o=i.pop(),l=i.pop(),u=[...i,o],p=Array.from({length:t.rank},(m,f)=>f===0?t.rank-2:f<=t.rank-2?f-1:f);t=W(Ee(t,p),[l,-1]);let d=[...r,...u],c=!1,h=!1;return W(wl.matMul({a:e,b:t,transposeA:c,transposeB:h,bias:a?Gb(e.rank,a,ja()):null,activation:n}),d)}}function hN(e,t,n){return P(()=>(Array.isArray(t)?t=je(t,"int32"):t=ie(t,"int32"),zu(e,t,n)))}function Kc(e){return z(e,e)}function Gb(e,t,n){let a=t.shape;if(t.rank!==1&&t.rank!==e)throw new V(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${e}`);if(e===5){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1,1]):W(t,[1,a[3],a[0],a[1],a[2]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===4){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1,1]):W(t,[1,a[2],a[0],a[1]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,1,a[0]]):W(t,[1].concat(a))}else if(e===3){if(n==="channelsFirst")return a.length===1?W(t,[1,a[0],1]):W(t,[1,a[1],a[0]]);if(n==="channelsLast")return a.length===1?W(t,[1,1,a[0]]):W(t,[1].concat(a))}else if(e<3)return t;throw new V(`Unsupported input rank by biasAdd: ${t.rank}`)}function Ya(e,t,n){return P(()=>(n==null&&(n=ja()),Mt(n),X(e,Gb(e.rank,t,n))))}function iV(e,t=1){if(t!==1)throw new Oe(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pu(e)}function oV(e){return P(()=>he(e,X(Lt(e),1)))}function mN(e,t,n,a){return P(()=>Wv(e,t,n,a))}function lV(e){return P(()=>{let t=X(.5,z(.2,e));return tn(t,0,1)})}function Xc(e,t,n=!1){return n?e():t()}var uV=["fanIn","fanOut","fanAvg"],pV=["normal","uniform","truncatedNormal"];function cV(e){ko(uV,"FanMode",e)}function dV(e){ko(pV,"Distribution",e)}var Pa=class extends ne.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},sw=class extends Pa{apply(e,t){return It(e,t)}};sw.className="Zeros";ne.registerClass(sw);var Tf=class extends Pa{apply(e,t){return Jn(e,t)}};Tf.className="Ones";ne.registerClass(Tf);var iw=class extends Pa{constructor(e){if(super(),typeof e!="object")throw new V(`Expected argument of type ConstantConfig but got ${e}`);if(e.value===void 0)throw new V(`config must have value set but got ${e}`);this.value=e.value}apply(e,t){return P(()=>z(xe(this.value),Jn(e,t)))}getConfig(){return{value:this.value}}};iw.className="Constant";ne.registerClass(iw);var ow=class extends Pa{constructor(e){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=e.minval||this.DEFAULT_MINVAL,this.maxval=e.maxval||this.DEFAULT_MAXVAL,this.seed=e.seed}apply(e,t){return Bu(e,this.minval,this.maxval,t,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};ow.className="RandomUniform";ne.registerClass(ow);var lw=class extends Pa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`randomNormal does not support dType ${t}.`);return Sf(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};lw.className="RandomNormal";ne.registerClass(lw);var uw=class extends Pa{constructor(e){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=e.mean||this.DEFAULT_MEAN,this.stddev=e.stddev||this.DEFAULT_STDDEV,this.seed=e.seed}apply(e,t){if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`truncatedNormal does not support dType ${t}.`);return ff(e,this.mean,this.stddev,t,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};uw.className="TruncatedNormal";ne.registerClass(uw);var pw=class extends Pa{constructor(e){super(),this.gain=e.gain!=null?e.gain:1}apply(e,t){return P(()=>{if(e.length!==2||e[0]!==e[1])throw new V("Identity matrix initializer can only be used for 2D square matrices.");return z(this.gain,Zm(e[0]))})}getConfig(){return{gain:this.gain}}};pw.className="Identity";ne.registerClass(pw);function hV(e,t="channelsLast"){let n,a;if(Mt(t),e.length===2)n=e[0],a=e[1];else if([3,4,5].indexOf(e.length)!==-1){if(t==="channelsFirst"){let r=os(e,2);n=e[1]*r,a=e[0]*r}else if(t==="channelsLast"){let r=os(e,0,e.length-2);n=e[e.length-2]*r,a=e[e.length-1]*r}}else{let r=os(e);n=Math.sqrt(r),a=Math.sqrt(r)}return[n,a]}var Bn=class extends Pa{constructor(e){if(super(),e.scale<0)throw new V(`scale must be a positive float. Got: ${e.scale}`);this.scale=e.scale==null?1:e.scale,this.mode=e.mode==null?"fanIn":e.mode,cV(this.mode),this.distribution=e.distribution==null?"normal":e.distribution,dV(this.distribution),this.seed=e.seed}apply(e,t){let n=hV(e),a=n[0],r=n[1],s=this.scale;if(this.mode==="fanIn"?s/=Math.max(1,a):this.mode==="fanOut"?s/=Math.max(1,r):s/=Math.max(1,(a+r)/2),this.distribution==="normal"){let i=Math.sqrt(s);if(t=t||"float32",t!=="float32"&&t!=="int32")throw new Oe(`${this.getClassName()} does not support dType ${t}.`);return ff(e,0,i,t,this.seed)}else{let i=Math.sqrt(3*s);return Bu(e,-i,i,t,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};Bn.className="VarianceScaling";ne.registerClass(Bn);var Nf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Nf.className="GlorotUniform";ne.registerClass(Nf);var Cf=class extends Bn{constructor(e){super({scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Cf.className="GlorotNormal";ne.registerClass(Cf);var _f=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};_f.className="HeNormal";ne.registerClass(_f);var Ef=class extends Bn{constructor(e){super({scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Ef.className="HeUniform";ne.registerClass(Ef);var Af=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};Af.className="LeCunNormal";ne.registerClass(Af);var $f=class extends Bn{constructor(e){super({scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})}getClassName(){return Bn.className}};$f.className="LeCunUniform";ne.registerClass($f);var cw=class extends Pa{constructor(e){if(super(),this.DEFAULT_GAIN=1,this.gain=e.gain==null?this.DEFAULT_GAIN:e.gain,this.seed=e.seed,this.seed!=null)throw new Oe("Random seed is not implemented for Orthogonal Initializer yet.")}apply(e,t){return P(()=>{if(e.length<2)throw new Oe("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${e[0]*e[1]}) elements: Slowness may result.`);let n=e[0]>e[1]?[e[1],e[0]]:e,a=Sf(n,0,1,"float32"),r=Gv.gramSchmidt(a);return e[0]>e[1]&&(r=Ee(r)),z(this.gain,r)})}getConfig(){return{gain:this.gain,seed:this.seed}}};cw.className="Orthogonal";ne.registerClass(cw);var _k={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Ek(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"initializer")}function _t(e){return nw(e)}function St(e){if(typeof e=="string"){let t=e in _k?_k[e]:e;if(t==="GlorotNormal")return new Cf;if(t==="GlorotUniform")return new Nf;if(t==="HeNormal")return new _f;if(t==="HeUniform")return new Ef;if(t==="LeCunNormal")return new Af;if(t==="LeCunUniform")return new $f;{let n={};return n.className=t,n.config={},Ek(n)}}else return e instanceof Pa?e:Ek(e)}function Hb(e){return Array.isArray(e)&&Array.isArray(e[0])}function zh(e){return e.length===0?[]:Array.isArray(e[0])?e:[e]}function Ce(e){let t;if(Array.isArray(e)){if(e.length!==1)throw new V(`Expected Tensor length to be 1; got ${e.length}`);t=e[0]}else t=e;return t}function Je(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(e.length===1)return e=e,e[0];throw new V(`Expected exactly 1 Shape; got ${e.length}`)}else return e}function Wh(e){let t=0;for(let n of e)n.shape.length===0?t+=1:t+=n.shape.reduce((a,r)=>a*r);return t}var Ak="Variable",fN=class{constructor(e,t="float32",n=Ak,a=!0,r=null){this.dtype=t==null?"float32":t,this.shape=e.shape,this.id=lN(),n=n==null?Ak:n,this.originalName=pN(n),this.name=cN(this.originalName),this.trainable_=a,this.constraint=r,this.val=Mv(e,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(e){return this.assertNotDisposed(),mV(this.val,e),this.val.id!==e.id&&(this.val.assign(e),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(e){this.trainable_=e,this.val.trainable=e}};function mV(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}function qb(e){return e.map(t=>t.read())}function dw(e){e.forEach(t=>{t[0].write(t[1])})}var zt=class{constructor(e){this.dtype=e.dtype,this.shape=e.shape,e.shape!=null?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}},Va=class{constructor(e,t,n,a,r,s,i){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=a,this.callArgs=r,this.outputTensorIndex=i,this.id=lN(),s!=null&&(this.originalName=pN(s),this.name=cN(this.originalName)),this.rank=t.length}},fV=0,Ff=class{constructor(e,t){this.callArgs=t,this.id=fV++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(let n of e.inboundLayers)n!=null&&n.outboundNodes.push(this);e.outboundLayer.inboundNodes.push(this)}getConfig(){let e=[];for(let t of this.inboundLayers)t!=null?e.push(t.name):e.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},gV=0,Ue=class extends ne.Serializable{constructor(e={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=gV++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let t=e.name;if(!t){let n=this.getClassName();t=Nr(n)+"_"+If(n)}if(this.name=t,this.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){let n;if(e.batchInputShape!=null)n=e.batchInputShape;else if(e.inputShape!=null){let r=null;e.batchSize!=null&&(r=e.batchSize),n=[r].concat(e.inputShape)}this.batchInputShape=n;let a=e.dtype;a==null&&(a=e.inputDType),a==null&&(a="float32"),this.dtype=a}e.weights!=null?this.initialWeights=e.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(e,t){return e.name+"_ib-"+t.toString()}getNodeAtIndex(e,t){if(this.inboundNodes.length===0)throw new Ba(`The layer has never been called and thus has no defined ${t}.`);if(this.inboundNodes.length<=e)throw new V(`Asked to get ${t} at node ${e}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[e]}getInputAt(e){return On(this.getNodeAtIndex(e,"input").inputTensors)}getOutputAt(e){return On(this.getNodeAtIndex(e,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Tr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new Tr(`Layer ${this.name} is not connected, no input to return.`);return On(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Tr(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Tr(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return On(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(e=>e())}get updates(){return this._updates}get built(){return this._built}set built(e){this._built=e}get trainable(){return this.trainable_}set trainable(e){this._trainableWeights.forEach(t=>t.trainable=e),this.trainable_=e}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(e=>e.trainable):[]}set trainableWeights(e){this._trainableWeights=e}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(e=>!e.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(e){this._nonTrainableWeights=e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(e){if(e=xt(e),this.inputSpec==null||this.inputSpec.length===0)return;let t=xt(this.inputSpec);if(e.length!==t.length)throw new V(`Layer ${this.name} expects ${t.length} inputs, but it received ${e.length} input tensors. Input received: ${e}`);for(let n=0;nr.maxNDim)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${r.maxNDim}, found ndim=${s}`);if(r.minNDim!=null&&s=0?i[l]:i[i.length+l];if(u!=null&&[u,null].indexOf(p)===-1)throw new V(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${u} but got shape ${i}.`)}}if(r.shape!=null)for(let i=0;i{if(!this.built){this.assertInputCompatibility(e);let s=[];for(let i of xt(e))s.push(i.shape);this.build(On(s)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&r&&(this._refCount=1)}if(this.assertInputCompatibility(e),r){let s=this.call(e,t),i=xt(s),o=[];for(let l of i)n.indexOf(l)!==-1&&(l=l.clone()),o.push(l);if(s=On(o),this.activityRegularizer!=null)throw new Oe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return s}else{let s=yV(e),i=this.computeOutputShape(s),o,l=bV(e);if(this.warnOnIncompatibleInputShape(Array.isArray(e)?s[0]:s),i!=null&&i.length>0&&Array.isArray(i[0])?o=i.map((u,p)=>new Va(l,u,this,xt(e),t,this.name,p)):o=new Va(l,i,this,xt(e),t,this.name),this.addInboundNode(e,o,null,null,s,i,t),this._refCount++,this.activityRegularizer!=null)throw new Oe("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return o}})}warnOnIncompatibleInputShape(e){if(this.batchInputShape!=null)if(e.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(e)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let t=!1;this.batchInputShape.forEach((n,a)=>{n!=null&&e[a]!=null&&e[a]!==n&&(t=!0)}),t&&console.warn(`The shape of the input tensor (${JSON.stringify(e)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Tr(`The layer ${this.name} has never been called and thus has no defined output shape.`);let e=[];for(let t of this.inboundNodes){let n=JSON.stringify(t.outputShapes);e.indexOf(n)===-1&&e.push(n)}if(e.length===1){let t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&t.length===1?t[0]:t}else throw new Tr(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Ba(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Wh(this.weights)}build(e){this.built=!0}getWeights(e=!1){return qb(e?this.trainableWeights:this.weights)}setWeights(e){P(()=>{let t=this.weights;if(t.length!==e.length)throw new V(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${e.length}, but the layer was expecting ${t.length} weights. Provided weights: ${e}...`);if(t.length===0)return;let n=[],a=qb(t);for(let r=0;rr.apply(u.read())),s==null&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(e){this.fastWeightInitDuringBuild=e}addLoss(e){e==null||Array.isArray(e)&&e.length===0||(e=xt(e),this._losses!==void 0&&this._losses!==null&&this.losses.push(...e))}computeOutputShape(e){return e}computeMask(e,t){if(!this.supportsMasking){if(t!=null)if(Array.isArray(t))t.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return t}addInboundNode(e,t,n,a,r,s,i=null){let o=xt(e);t=xt(t),n=xt(n),a=xt(a),r=zh(r),s=zh(s);let l=[],u=[],p=[];for(let d of o)l.push(d.sourceLayer),u.push(d.nodeIndex),p.push(d.tensorIndex);new Ff({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:p,inputTensors:o,outputTensors:t,inputMasks:n,outputMasks:a,inputShapes:r,outputShapes:s},i);for(let d=0;de.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}};function yV(e){e=xt(e);let t=[];for(let n of e)t.push(n.shape);return On(t)}function bV(e){return"float32"}function gN(e,t,n){if((t==null||n!=null&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),t.inboundNodes.length===0)return[e];{let a=t.inboundNodes[n];if(a.inboundLayers.length===0)return a.inputTensors;{let r=[];for(let s=0;sm.name),l=[],u=t.names();for(let m of o)u.indexOf(m)!==-1?l.push(t.getValue(m)):l.push(null);a!=null&&(a.maxNumTensors=-1/0,a.minNumTensors=1/0);let p=o.join(",")+"|"+t.names().sort().join(","),d=Bh.get(p),c;if(d==null){let m=wV(i,t);d=m.sorted,c=m.recipientCounts,Bh.put(p,d),Vh.put(p,c)}c={},r||Object.assign(c,Vh.get(p));let h=new Ys(t);for(let m=0;ma.maxNumTensors&&(a.maxNumTensors=$),$0,()=>"Expected at least one fetch, got none");let n=[],a={};if(e.length===1){let r=$k(e[0],t);n=r.sorted,a=r.recipientMap}else{let r=new Set;for(let s of e){let{sorted:i,recipientMap:o}=$k(s,t);for(let l of i)r.has(l.name)||(n.push(l),r.add(l.name));for(let l in o)a[l]==null&&(a[l]=new Set),o[l].forEach(u=>a[l].add(u))}}return{sorted:n,recipientCounts:kV(a)}}function kV(e){let t={};for(let n in e)t[n]=e[n].size;return t}function $k(e,t){let n=new Set,a=[],r={};for(let o of t.names())n.add(o);let s=[],i=[];for(s.push(e);s.length>0;){let o=s[s.length-1];if(n.has(o.name)){s.pop();continue}let l=i[i.length-1]===s.length-1;if(o.inputs.length===0||l)s.pop(),a.push(o),n.add(o.name),l&&i.pop();else{i.push(s.length-1);for(let u of o.inputs)r[u.name]==null&&(r[u.name]=new Set),r[u.name].add(o.name),!n.has(u.name)&&s.push(u)}}return{sorted:a,recipientMap:r}}function IV(e){let t;if(e.sourceLayer.inboundNodes.length===1)t=e.sourceLayer.output;else{let n=null;for(let a=0;a100,vV);var bN={};Ae(bN,{maxNorm:()=>TV,minMaxNorm:()=>_V,nonNeg:()=>CV,unitNorm:()=>NV});function hw(e,t){return P(()=>cn(fe(z(e,e),t,!0)))}var Yc=class extends ne.Serializable{getConfig(){return{}}},mw=class extends Yc{constructor(e){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=hw(e,this.axis),n=tn(t,0,this.maxValue);return z(e,he(n,X(qt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};mw.className="MaxNorm";ne.registerClass(mw);var fw=class extends Yc{constructor(e){super(),this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>he(e,X(qt(),hw(e,this.axis))))}getConfig(){return{axis:this.axis}}};fw.className="UnitNorm";ne.registerClass(fw);var gw=class extends Yc{apply(e){return Ke(e)}};gw.className="NonNeg";ne.registerClass(gw);var yw=class extends Yc{constructor(e){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return P(()=>{let t=hw(e,this.axis),n=X(z(this.rate,tn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,X(qt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};yw.className="MinMaxNorm";ne.registerClass(yw);var Fk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Xt(e){return nw(e)}function Rk(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"constraint")}function Yt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Fk?Fk[e]:e,config:{}};return Rk(t)}else return e instanceof Yc?e:Rk(e)}function TV(e){return new mw(e)}function NV(e){return new fw(e)}function CV(){return new gw}function _V(e){return new yw(e)}var xN={};Ae(xN,{constant:()=>$V,glorotNormal:()=>LV,glorotUniform:()=>OV,heNormal:()=>zV,heUniform:()=>WV,identity:()=>MV,leCunNormal:()=>BV,leCunUniform:()=>VV,ones:()=>AV,orthogonal:()=>UV,randomNormal:()=>RV,randomUniform:()=>FV,truncatedNormal:()=>DV,varianceScaling:()=>PV,zeros:()=>EV});function EV(){return new sw}function AV(){return new Tf}function $V(e){return new iw(e)}function FV(e){return new ow(e)}function RV(e){return new lw(e)}function DV(e){return new uw(e)}function MV(e){return new pw(e)}function PV(e){return new Bn(e)}function OV(e){return new Nf(e)}function LV(e){return new Cf(e)}function zV(e){return new _f(e)}function WV(e){return new Ef(e)}function BV(e){return new Af(e)}function VV(e){return new $f(e)}function UV(e){return new cw(e)}var vN={};Ae(vN,{Layer:()=>Ue,RNN:()=>gr,RNNCell:()=>td,activation:()=>gG,add:()=>TG,alphaDropout:()=>lH,average:()=>NG,averagePooling1d:()=>C0,averagePooling2d:()=>_0,averagePooling3d:()=>E0,avgPool1d:()=>MG,avgPool2d:()=>OG,avgPool3d:()=>zG,avgPooling1d:()=>PG,avgPooling2d:()=>LG,avgPooling3d:()=>WG,batchNormalization:()=>FG,bidirectional:()=>eH,categoryEncoding:()=>hH,centerCrop:()=>cH,concatenate:()=>CG,conv1d:()=>oG,conv2d:()=>lG,conv2dTranspose:()=>uG,conv3d:()=>pG,conv3dTranspose:()=>cG,convLstm2d:()=>YG,convLstm2dCell:()=>ZG,cropping2D:()=>hG,dense:()=>yG,depthwiseConv2d:()=>fG,dot:()=>$G,dropout:()=>bG,elu:()=>tG,embedding:()=>SG,flatten:()=>vG,gaussianDropout:()=>oH,gaussianNoise:()=>iH,globalAveragePooling1d:()=>BG,globalAveragePooling2d:()=>VG,globalMaxPool1d:()=>nH,globalMaxPool2d:()=>aH,globalMaxPooling1d:()=>c2,globalMaxPooling2d:()=>d2,gru:()=>GG,gruCell:()=>HG,input:()=>LN,inputLayer:()=>eG,layerNormalization:()=>RG,leakyReLU:()=>aG,lstm:()=>qG,lstmCell:()=>jG,masking:()=>uH,maxPool1d:()=>rH,maxPool2d:()=>sH,maxPooling1d:()=>h2,maxPooling2d:()=>m2,maxPooling3d:()=>UG,maximum:()=>_G,minimum:()=>EG,multiply:()=>AG,permute:()=>IG,prelu:()=>rG,reLU:()=>nG,repeatVector:()=>wG,rescaling:()=>pH,reshape:()=>kG,resizing:()=>dH,rnn:()=>JG,separableConv2d:()=>dG,simpleRNN:()=>KG,simpleRNNCell:()=>XG,softmax:()=>sG,spatialDropout1d:()=>xG,stackedRNNCells:()=>QG,thresholdedReLU:()=>iG,timeDistributed:()=>tH,upSampling2d:()=>mG,zeroPadding2d:()=>DG});async function Jr(e){if(e==null)return;let t=[],n=[],a=[];for(let r in e){let s=e[r];if(typeof s!="number"){let i=s;t.push(i.data()),n.push(r),a.push(i)}}if(t.length>0){let r=await Promise.all(t);for(let s=0;sX(this.totals[a],z(r,n)));this.totals[a]=i,s!=null&&s.dispose()}}}async onEpochEnd(e,t){if(t!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?t[n]=this.totals[n]/this.seen:P(()=>{let a=z(he(1,this.seen),this.totals[n]);t[n]=a,this.totals[n].dispose(),Gt(t[n])}))}},IN=class extends Sl{async onTrainBegin(e){this.epoch=[],this.history={}}async onEpochEnd(e,t){t==null&&(t={}),this.epoch.push(e);for(let n in t)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(t[n])}async syncData(){let e=[],t=[],n=[];for(let r in this.history){let s=this.history[r];for(let i=0;inew SN(n,t))}var _a=class{constructor(){}static registerCallbackConstructor(e,t){v.assert(e>=0&&Number.isInteger(e),()=>`Verbosity level is expected to be an integer >= 0, but got ${e}`),_a.checkForDuplicate(t),_a.constructors[e]==null&&(_a.constructors[e]=[]),_a.constructors[e].push(t)}static checkForDuplicate(e){for(let t in _a.constructors)_a.constructors[+t].forEach(n=>{if(n===e)throw new V("Duplicate callback constructor.")})}static clear(){_a.constructors={}}static createCallbacks(e){let t=[];for(let n in _a.constructors){let a=+n;e>=a&&t.push(..._a.constructors[a])}return t.map(n=>new n)}};_a.constructors={};function NN(e,t,n,a,r,s,i,o,l){let u=new IN,p=[new HV,..._a.createCallbacks(t)];e!=null&&p.push(...e),p.push(u);let d=new kN(p);return d.setParams({epochs:n,initialEpoch:a,samples:r,steps:s,batchSize:i,verbose:t,doValidation:o,metrics:l}),{callbackList:d,history:u}}function Ga(e,t={},n=!1){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"layer",n)}function Uh(e,t){return P(()=>{e.dtype!=="float32"&&(e=ie(e,"float32"));let n=fe(Kc(e),t,!0),a=bn(n.shape,qt()),r=cn(mr(n,a));return he(e,r)})}function Io(e,t){return P(()=>Ct(Kc(pe(t,e)),-1))}function Rf(e,t){return P(()=>Ct(Lt(pe(t,e)),-1))}function Gu(e,t){return P(()=>{let n=pe(e,t),a=tn(Lt(e),qt(),Number.MAX_VALUE),r=Lt(he(n,a));return z(100,Ct(r,-1))})}function qV(e,t){return P(()=>{let n=tn(t,qt(),Number.MAX_VALUE),a=ea(X(1,n)),r=tn(e,qt(),Number.MAX_VALUE),s=ea(X(1,r));return Ct(Kc(pe(a,s)),-1)})}function jV(e,t){return P(()=>{let n=mr(0,pe(1,z(e,t)));return Ct(Kc(n),-1)})}function KV(e,t){return P(()=>{let n=mr(0,pe(1,z(e,t)));return Ct(n,-1)})}function XV(e,t){return P(()=>{let n=fe(z(e,t),-1),a=ma(z(pe(1,e),t),-1);return mr(0,X(1,pe(a,n)))})}function YV(e,t){return P(()=>{let n=Math.log(2),a=pe(t,e),r=pe(X(a,bo(z(-2,a))),n);return Ct(r,-1)})}function ec(e,t,n=!1){return P(()=>{if(n)t=Xa(t);else{let a=fe(t,t.shape.length-1,!0);t=he(t,a)}return t=tn(t,qt(),1-qt()),vt(fe(z(ie(e,"float32"),ea(t)),t.shape.length-1))})}function Gh(e,t,n=!1){return P(()=>{let a=ie(Lu(rV(e)),"int32");t=tn(t,qt(),1-qt());let r=t.shape,s=W(yl(a,r[r.length-1]),r);return ec(s,t,n)})}function ZV(e,t){if(!v.arraysEqual(e.shape,t.shape))throw new V(`logits and labels must have the same shape, but got shapes ${JSON.stringify(e.shape)} and ${JSON.stringify(t.shape)}`);return P(()=>{let n=Ke(t),a=vt(Lt(t));return X(pe(n,z(t,e)),Oc(yn(a)))})}function Df(e,t){return P(()=>{let n;return n=tn(t,qt(),1-qt()),n=ea(he(n,pe(1,n))),Ct(ZV(e,n),-1)})}function JV(e,t){return P(()=>{let n=tn(e,qt(),1),a=tn(t,qt(),1);return fe(z(e,ea(he(n,a))),-1)})}function QV(e,t){return P(()=>{let n=ea(X(qt(),t));return Ct(pe(t,z(e,n)),-1)})}function bw(e,t){return P(()=>{let n=Uh(e,-1),a=Uh(t,-1),r=z(n,a);return vt(fe(r,-1))})}var Hh={meanSquaredError:Io,meanAbsoluteError:Rf,meanAbsolutePercentageError:Gu,meanSquaredLogarithmicError:qV,squaredHinge:jV,hinge:KV,categoricalHinge:XV,logcosh:YV,categoricalCrossentropy:ec,sparseCategoricalCrossentropy:Gh,binaryCrossentropy:Df,kullbackLeiblerDivergence:JV,poisson:QV,cosineProximity:bw};function bb(e){if(typeof e=="string"){if(e in Hh)return Hh[e];let t=`Unknown loss ${e}`;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${e}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new V(t)}else return e}function xw(e,t){return P(()=>{let n=z(.5,ta(t)),a=lr(Cn(t,n),e.dtype);return Ct(Qn(e,a),-1)})}function vw(e,t){return P(()=>lr(Qn(si(e,-1),si(t,-1)),"float32"))}function CN(e,t){return P(()=>ie(fe(Ra(Qn(e,1),Qn(t,1))),"float32"))}function eU(e,t){return P(()=>ie(fe(Ra(Qn(e,1),Qn(t,0))),"float32"))}function tU(e,t){return P(()=>ie(fe(Ra(Qn(e,0),Qn(t,1))),"float32"))}function _N(e,t){return P(()=>{let n=CN(e,t),a=tU(e,t),r=X(n,a);return ie(gn(Cn(r,0),he(n,r),0),"float32")})}function nU(e,t){return P(()=>{let n=CN(e,t),a=eU(e,t),r=X(n,a);return ie(gn(Cn(r,0),he(n,r),0),"float32")})}function EN(e,t){return Df(e,t)}function AN(e,t){return e.rank===t.rank&&(e=Es(e,[e.rank-1])),t=si(t,-1),t.dtype!==e.dtype&&(t=ie(t,e.dtype)),ie(Qn(e,t),"float32")}var aU=Io,rU=Io,sU=Rf,iU=Rf,oU=Gu,lU=Gu,ww=ec,uU=bw,$N=Gh,qh={binaryAccuracy:xw,categoricalAccuracy:vw,precision:_N,categoricalCrossentropy:ww,sparseCategoricalCrossentropy:$N,mse:aU,MSE:rU,mae:sU,MAE:iU,mape:oU,MAPE:lU,cosine:uU};function pU(e){if(typeof e=="string"&&e in qh)return qh[e];if(typeof e!="string"&&e!=null)return e;throw new V(`Unknown metric ${e}`)}function ph(e){if(rr(e!==null,`Unknown LossOrMetricFn ${e}`),typeof e=="string")return e;{let t;for(let n of Object.keys(Hh))if(Hh[n]===e){t=n;break}if(t!==void 0)return t;for(let n of Object.keys(qh))if(qh[n]===e){t=n;break}return t!==void 0?t:e.name}}function cU(e){let t={Adagrad:()=>Gs.adagrad(.01),Adadelta:()=>Gs.adadelta(1,.95,qt()),Adam:()=>Gs.adam(.001,.9,.999,qt()),Adamax:()=>Gs.adamax(.002,.9,.999,qt(),0),RMSProp:()=>Gs.rmsprop(.001,.9,0,qt()),SGD:()=>Gs.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new V(`Unknown Optimizer ${e}`)}function Mk(e,t,n=!1){if(e==null||typeof e!="object"||Object.getPrototypeOf(e)!==Object.prototype||!jb(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){let a=JSON.stringify(e);a.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${a.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function jb(e){if(e===null)return!0;if(typeof e=="object")if(Object.getPrototypeOf(e)===Object.prototype){let t=Object.keys(e);for(let n of t)if(typeof n!="string"||!jb(e[n]))return!1;return!0}else if(Array.isArray(e)){for(let t of e)if(!jb(t))return!1;return!0}else return!1;else{let t=typeof e;return t==="string"||t==="number"||t==="boolean"}}function dU(e,t,n,a=console.log){let r=mU(e),s=["Layer (type)","Input Shape","Output shape","Param #"];r?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map(p=>Math.floor(t*p)));let i;if(!r){s.push("Receives inputs"),i=[];for(let p in e.nodesByDepth)i.push(...e.nodesByDepth[p])}a("_".repeat(t)),jh(s,n,a),a("=".repeat(t));let o=e.layers;for(let p=0;p1||r.length===1&&r[0].inboundLayers.length>1){t=!1;break}a.push(...r)}if(t)for(let r of e.layers){let s=!1;for(let i of r.inboundNodes)if(a.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function jh(e,t,n=console.log){let a="";for(let r=0;r0&&(a=a.slice(0,a.length-1)+" "),a+=e[r],a=a.slice(0,t[r]),a+=" ".repeat(t[r]-a.length);n(a)}function fU(e,t,n){let a,r;try{r=e.inboundNodes.map(l=>JSON.stringify(l.inputShapes)).join(",")}catch(l){r="multiple"}try{a=JSON.stringify(e.outputShape)}catch(l){a="multiple"}let s=e.name,i=e.getClassName(),o=[`${s} (${i})`,r,a,e.countParams().toString()];jh(o,t,n)}function gU(e,t,n,a){let r,s;try{s=e.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch(d){s="multiple"}try{r=JSON.stringify(e.outputShape)}catch(d){r="multiple"}let i=[];for(let d of e.inboundNodes)if(!(n!=null&&n.length>0&&n.indexOf(d)===-1))for(let c=0;cy.name)}`);is(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(y=>y.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let y of this.outputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;this.outputLayers.push(b),this.outputLayersNodeIndices.push(x),this.outputLayersTensorIndices.push(w)}for(let y of this.inputs){let b=y.sourceLayer,x=y.nodeIndex,w=y.tensorIndex;rr(x===0,"input layer has >1 nodes"),rr(w===0,"input layer has >1 tensors"),this.inputLayers.push(b),this.inputLayersNodeIndices.push(x),this.inputLayersTensorIndices.push(w)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let y=0;yy.shape),this.internalOutputShapes=this.outputs.map(y=>y.shape);let t={},n={},a={},r={},s={},i=[],o=(y,b,x,w,I,T)=>{(w==null||I==null||T==null)&&(w=y.sourceLayer,I=y.nodeIndex,T=y.tensorIndex);let C=w.inboundNodes[I];if(x.indexOf(C)!==-1)throw new Ba(`The tensor ${y.name} at layer "${w.name}" is part of a cycle.`);if(b.indexOf(C)!==-1)return;this.containerNodes.add(nr.nodeKey(w,I)),w.id in s||(s[w.id]=Object.keys(s).length),x.indexOf(C)===-1&&x.push(C);let E=C.inboundLayers.length;for(let $=0;$=0;)x.splice(x.indexOf(C),1);i.push(C)},l=[],u=[];for(let y of this.outputs)o(y,l,u);let p=i.slice().reverse();for(let y of p){n[y.id]=y,y.id in t||(t[y.id]=0);let b=t[y.id],x=a[y.outboundLayer.id]==null?0:a[y.outboundLayer.id];b=Math.max(b,x),a[y.outboundLayer.id]=b,r[y.outboundLayer.id]=y.outboundLayer,t[y.id]=b;for(let w=0;wparseInt(y,10)).sort(oh);this.layers=[];for(let y of h){let b=c[y];b.sort((x,w)=>{let I=s[x.id],T=s[w.id];return IT?1:0});for(let x of b)x instanceof nr&&this.internalContainerRefs.push(x),this.layers.push(x)}this.layersByDepth=c,h=Object.keys(d).map(y=>parseInt(y,10)).sort(oh);let m=this.inputs.slice(),f=[];for(let y of h)for(let b of d[y]){let x=b.outboundLayer;if(x!=null){for(let w of b.inputTensors)if(m.indexOf(w)===-1)throw new Ba(`Graph disconnected: cannot obtain value for tensor ${w} at layer "${x.name}". The following previous layers were accessed without issue: ${f}`);for(let w of b.outputTensors)m.push(w);f.push(x.name)}}this.nodesByDepth=d;let g=this.layers.map(y=>y.name);for(let y of g){let b=g.filter(x=>x===y).length;if(b!==1)throw new Ba(`The name "${y}" is used ${b} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(g))}this.outboundNodes=[],this.inboundNodes=[],new Ff({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(y=>null),outputMasks:this.outputs.map(y=>null),inputShapes:this.inputs.map(y=>y.shape),outputShapes:this.outputs.map(y=>y.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let t of this.layers)e.numDisposedVariables+=t.dispose().numDisposedVariables;for(let t of this.internalContainerRefs)e.numDisposedVariables+=t.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e}get trainable(){return this.trainable_}set trainable(e){this.layers.forEach(t=>{t._trainableWeights.forEach(n=>n.trainable=e)}),this.trainable_=e}get trainableWeights(){if(this._trainableWeights.length>0)throw new V("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},a=0;for(let s of this.layers)for(let i of s.weights){if(n[i.originalName]!=null)throw new V(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,a++}let r=[];for(let s in e){let i=s;if(n[s]==null){let o=s.split("/");i=o.slice(0,-2).concat([o[o.length-1]]).join("/")}if(n[i]!=null)r.push([n[i],e[s]]);else if(t)throw new V(`Provided weight data has no target variable: ${s}`);delete n[i]}if(t){let s=[];for(let i in n)s.push(i);if(s.length>0)throw new V(`${s.length} of ${a} weights are not set: ${s}`)}dw(r)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${kw}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Kb(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return P(()=>{e=xt(e);let n=new Ys;for(let a=0;a{e=xt(e);let n;return t==null?n=ci(null,e.length):n=xt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=zh(e);if(t.length!==this.inputLayers.length)throw new V(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;iparseInt(i,10)).sort(oh);if(a.length>1)for(let i of a){let o=this.nodesByDepth[i];for(let l of o){let u=l.outboundLayer;if(this.inputLayers.map(m=>m.id).indexOf(u.id)!==-1)continue;let p=[];for(let m=0;mparseInt(o,10)).sort(oh);for(let o of a){let l=this.nodesByDepth[o];for(let u of l){let p=u.outboundLayer,d=u.inputTensors,c=u.outputTensors,h=new Array;for(let m of d)m.id in n&&h.push(n[m.id]);if(h.length===d.length){let m={},f,g,y,b;if(u.callArgs!=null&&(m=u.callArgs),h.length===1){let[x,w]=h[0];m.mask==null&&(m.mask=w),y=xt(p.call(x,m)),b=xt(p.computeMask(x,w)),f=[x],g=[w]}else f=h.map(x=>x[0]),g=h.map(x=>x[1]),m.mask==null&&(m.mask=g),y=xt(p.call(f,m)),b=xt(p.computeMask(f,g));if(p.activityRegularizer)throw new Oe("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let x=0;x{let e=[];for(let t of this.layers)for(let n=0;n0){let m=[];for(let f=0;f0&&f.apply(On(y),b)}function l(f){let g=f.name,y=Ga(f,t.customObjects!=null?t.customObjects:{});y.setFastWeightInitDuringBuild(a),r[g]=y,f.inboundNodes.forEach(b=>{if(!(b instanceof Array))throw new V(`Corrupted configuration, expected array for nodeData: ${b}`);i(y,b)})}let u=t.name,p=t.layers;for(let f of p)l(f);for(;!H4(s);)for(let f of p){let g=r[f.name];if(g.name in s){let y=s[g.name];delete s[g.name];for(let b of y)o(g,b)}}let d=[],c=[],h=t.inputLayers;for(let f of h){let g=f[0],y=f[1],b=f[2];rr(g in r);let x=r[g].inboundNodes[y].outputTensors;d.push(x[b])}let m=t.outputLayers;for(let f of m){let g=f[0],y=f[1],b=f[2];rr(g in r);let x=r[g].inboundNodes[y].outputTensors;c.push(x[b])}return new e({inputs:d,outputs:c,name:u})}get stateful(){if(this._stateful)throw new V("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){P(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function yU(e,t,n){let a=t.length;if(e==null||Array.isArray(e)&&e.length===0)return t.map(r=>null);if(a===1)return Array.isArray(e)&&e.length===1?e:typeof e=="object"&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==a)throw new Error(`Provided ${n} is an array of ${e.length} element(s), but the model has ${a} outputs. Make sure a set of weights is provided for each model output.`);return e}else if(typeof e=="object"&&Object.keys(e).length>0&&typeof e[Object.keys(e)[0]]=="object"){let r=[];return t.forEach(s=>{s in e?r.push(e[s]):r.push(null)}),r}else throw new Error(`The model has multiple (${a}) outputs, so ${n} must be either an array with ${a} elements or an object with ${t} keys. Provided ${n} not understood: ${JSON.stringify(e)}`)}function RN(e,t){return yU(e,t,"classWeight")}async function DN(e,t,n,a){if(t!=null||a!=null)throw new Error("Support sampleWeight is not implemented yet");if(n!=null){let r=P(()=>{if(e.shape.length===1)return or(e);if(e.shape.length===2){if(e.shape[1]>1)return si(e,1);if(e.shape[1]===1)return W(e,[e.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${e.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${e.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await r.data());_e(r);let i=[];return s.forEach(o=>{if(n[o]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${o} exists in the data but not in classWeight`);i.push(n[o])}),je(i,"float32")}else return null}function bU(e,t){return z(e,t)}var xU=32;function MN(e,t){let n,a,r=t;n=r.xs,a=r.ys,v.assert(n!=null&&a!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=Pk("input",e.inputNames,n),i=Pk("output",e.outputNames,a),o=s[0].shape[0];v.assert(s.length===e.inputs.length,()=>`LayersModel has ${e.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(e.inputNames)})`),v.assert(i.length===e.outputs.length,()=>`LayersModel has ${e.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(e.outputNames)})`);for(let l=0;l`Batch size mismatch: input ${e.inputNames[l]} has ${s[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);for(let l=0;l`Batch size mismatch: output ${e.outputNames[l]} has ${i[l].shape[0]}; expected ${o} based on input ${e.inputNames[0]}.`);return{xs:s,ys:i}}function Pk(e,t,n){if(n instanceof Ne)return[n];if(Array.isArray(n))return v.assert(n.length===t.length,()=>`Received an array of ${n.length} Tensors, but expected ${t.length} to match the ${e} keys ${t}.`),n;{let a=[];for(let r of t){if(n[r]==null)throw new V(`The feature data generated by the dataset lacks the required ${e} key '${r}'.`);a.push(n[r])}return a}}function vU(e){if(e.length===3)throw new Oe("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}async function wU(e,t,n){let a=n.batchesPerEpoch!=null;if(v.assert(e.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),v.assert(n!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),v.assert(n.epochs!=null&&n.epochs>0&&Number.isInteger(n.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${n.epochs}`),v.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${n.batchesPerEpoch}`),v.assert(n.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0;try{let r=n.validationData!=null,s,i;if(r)if(Ok(n.validationData))v.assert(n.validationBatches==null||n.validationBatches>0&&Number.isInteger(n.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${n.validationBatches}`);else{let g=vU(n.validationData);s=g.xs,i=g.ys}let o=e.makeTrainFunction(),l=e.getDedupedMetricsNames(),u;r?u=l.slice().concat(l.map(g=>"val_"+g)):u=l.slice();let p=TN(n.callbacks,n.yieldEvery),d=n.verbose==null?1:n.verbose,{callbackList:c,history:h}=NN(p,d,n.epochs,null,null,kU(t,n),null,r,u);c.setModel(e),e.history=h,await c.onTrainBegin(),e.stopTraining_=!1;let m=n.initialEpoch==null?0:n.initialEpoch,f=await t.iterator();for(;m=n.batchesPerEpoch:x.done){if(r){let w;Ok(n.validationData)?w=xt(await e.evaluateDataset(n.validationData,{batches:n.validationBatches})):w=xt(e.evaluate(s,i,{batchSize:n.validationBatchSize==null?xU:n.validationBatchSize,verbose:0}));for(let I=0;I0)throw new Oe("Verbose mode is not implemented yet.");v.assert(!a||n.batches>0&&Number.isInteger(n.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(n.batches)}`);let i=IU(t)?t:await t.iterator(),o=0,l=0;for(;!a||l{if(u.value){let{xs:p,ys:d}=MN(e,u.value),c=p.concat(d),h=P(()=>r(c));if(_e(c),l===0)for(let f=0;fX(s[f],z(m,g))),l>0&&_e(y)}_e(h),o+=m,++l}return s}),u.done){a&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${n.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let u=0;u0&&Number.isInteger(e),()=>`batchSize is required to be a positive integer, but got ${e}`)}function Cp(e,t,n){return e==null?[null]:Array.isArray(e)?e.map(a=>Qs(a,t,n-t)):Qs(e,t,n-t)}function Xb(e,t){return P(()=>e==null?null:Array.isArray(e)?e.map(n=>Xb(n,t)):hN(e,t.dtype==="int32"?t:ie(t,"int32")))}function vb(e,t){let n=[],a=0,r=null;for(;a=e&&(r=e),n.push([a,r]),a=r;return n}function PN(e){let t=[];e instanceof Ne&&(e=[e]);for(let n=0;nn.push(r.id));else if(t!=null)for(let r in t){let s=t[r];n.push(s.id)}let a=[];if(e instanceof Ne)n.indexOf(e.id)===-1&&a.push(e);else if(Array.isArray(e))e.forEach(r=>{n.indexOf(r.id)===-1&&a.push(r)});else if(e!=null)for(let r in e){let s=e[r];n.indexOf(s.id)===-1&&a.push(s)}a.forEach(r=>{r.isDisposed||r.dispose()})}function TU(e){return e instanceof Ne}function Yb(e){return Array.isArray(e)}function Lk(e){return!TU(e)&&!Yb(e)}function zk(e,t,n,a=!0,r=""){if(t==null||t.length===0){if(e!=null){let i=!1;if(Yb(e)&&e.length>0)i=!0;else if(Lk(e)){for(let o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new V(`Error when checking model ${r} expected no data, but got ${e}`)}return[]}if(e==null)return t.map(i=>null);let s;if(Lk(e)){e=e,s=[];for(let i of t){if(e[i]==null)throw new V(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(e[i])}}else if(Yb(e)){if(e=e,e.length!==t.length)throw new V(`Error when checking model ${r}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${e}`);s=e}else{if(e=e,t.length>1)throw new V(`The model ${r} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${e.shape}`);s=[e]}if(s=PN(s),n!=null)for(let i=0;i=0&&u!==p)throw new V(`${r} expected a batch of elements where each example has shape [${n[i].slice(1,n[i].length)}] (i.e.,tensor shape [*,${n[i].slice(1,n[i].length)}]) but the ${r} received an input with ${o.shape[0]} examples, each with shape [${o.shape.slice(1,o.shape.length)}] (tensor shape [${o.shape}])`)}}return s}function NU(e,t,n){let a=is(e.map(s=>s.shape[0]));a.sort();let r=is(t.map(s=>s.shape[0]));if(r.sort(),a.length>1)throw new V(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(e.map(s=>s.shape))}`);if(r.length>1)throw new V(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(a.length>0&&r.length>0&&!v.arraysEqual(a,r))throw new V(`Input Tensors should have the same number of samples as target Tensors. Found ${a[0]} input sample(s) and ${r[0]} target sample(s).`)}function CU(e,t,n){let a=[Io,Df,ec];for(let r=0;r1)throw new V(`The model expects ${t.length} ${r} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(e.shape)}.`);s=[e]}if(n!=null)for(let i=0;i[]);let n;if(typeof e=="string"||typeof e=="function")n=[e];else if(Array.isArray(e)||typeof e=="object")n=e;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${e}`);if(Array.isArray(n))return t.map(a=>n);{let a=[];for(let r of t){let s=n.hasOwnProperty(r)?n[r]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}}var EU="layers-model",$r=class extends nr{constructor(e){super(e),this.isTraining=!1}summary(e,t,n=console.log){if(!this.built)throw new V("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");dU(this,e,t,n)}compile(e){if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=cU(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof Pr))throw new V("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}let t=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(let s in e.loss)if(this.outputNames.indexOf(s)===-1)throw new V(`Unknown entry in loss dictionary: "${s}". Only expected the following keys: ${this.outputNames}`);for(let s of this.outputNames)e.loss[s]==null&&console.warn(`Output "${s}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${s} during training`),t.push(bb(e.loss[s]))}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new V(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${e.loss}.`);t=e.loss.map(s=>bb(s))}else{let s=bb(e.loss);this.outputs.forEach(i=>{t.push(s)})}this.lossFunctions=t,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let s=0;s{for(let s=0;s1&&(this.metricsTensors.push([i,s]),this.metricsNames.push(this.outputNames[s]+"_loss"))}});let a=_U(e.metrics,this.outputNames),r=(s,i,o)=>{this.outputNames.length>1&&(i=this.outputNames[s]+"_"+i),this.metricsNames.push(i),this.metricsTensors.push([o,s])};Js("metric",()=>{for(let s=0;s{let l="",u,p,d;for(let c of o){if(typeof c=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(c)!==-1){let m=this.internalOutputShapes[s];m[m.length-1]===1||this.lossFunctions[s]===Df?["accuracy","acc"].indexOf(c)!==-1?p=xw:["crossentropy","ce"].indexOf(c)!==-1&&(p=EN):this.lossFunctions[s]===Gh?["accuracy","acc"].indexOf(c)!==-1?p=AN:["crossentropy","ce"].indexOf(c)!==-1&&(p=$N):["accuracy","acc"].indexOf(c)!==-1?p=vw:["crossentropy","ce"].indexOf(c)!==-1&&(p=ww);let f;["accuracy","acc"].indexOf(c)!==-1?f="acc":["crossentropy","ce"].indexOf(c)!==-1&&(f="ce"),d=p,u=l+f}else d=pU(c),u=l+ph(c);let h;Js(u,()=>{h=d}),r(s,u,h)}})(i)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(e,t,n={}){let a=n.batchSize==null?32:n.batchSize;xb(a);let r=!0,s=this.standardizeUserDataXY(e,t,r,a);try{let i=s[0].concat(s[1]);this.makeTestFunction();let o=this.testFunction,l=this.testLoop(o,i,a,n.verbose,n.steps);return On(l)}finally{za(s[0],e),za(s[1],t)}}async evaluateDataset(e,t){return this.makeTestFunction(),SU(this,e,t)}checkNumSamples(e,t,n,a="steps"){let r;if(n!=null){if(r=null,t!=null)throw new V(`If ${a} is set, batchSize must be null or undefined.Got batchSize = ${t}`)}else if(e!=null)Array.isArray(e)?r=e[0].shape[0]:r=e.shape[0];else throw new V(`Either the input data should have a defined shape, or ${a} shoud be specified.`);return r}execute(e,t){if(Array.isArray(t)&&t.length===0)throw new V("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(t),a=n?t:[t],r=this.retrieveSymbolicTensors(a),s=new Ys;if(e instanceof Ne&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new V(`The number of inputs provided (${e.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let o=0;oi.name);for(let i=0;i0){let a=[];throw t.forEach((r,s)=>{r==null&&a.push(e[s])}),new V(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(a)}`)}return t}predictLoop(e,t=32,n=!1){return P(()=>{let a=this.checkNumSamples(e);if(n)throw new Oe("Verbose predictLoop() is not implemented yet.");let r=vb(a,t),s=this.outputs.map(i=>[]);for(let i=0;i{let o=r[i][0],l=r[i][1],u=Cp(e,o,l),p=[];if(Array.isArray(u))for(let c=0;cs[l].push(o));return On(s.map(i=>Ze(i,0)))})}predict(e,t={}){let n=PN(e);Wk(n,this.inputNames,this.feedInputShapes,!1);try{let a=t.batchSize==null?32:t.batchSize;return xb(a),this.predictLoop(n,a)}finally{za(n,e)}}predictOnBatch(e){Wk(e,this.inputNames,this.feedInputShapes,!0);let t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)}standardizeUserDataXY(e,t,n=!0,a){if(this.optimizer_==null)throw new Ba("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let r=[];for(let s=0;s0&&e[0].shape[0]%a!==0)throw new V(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${a}. Found: ${e[0].shape[0]} sample(s).`);return[e,t]}async standardizeUserData(e,t,n,a,r=!0,s){let[i,o]=this.standardizeUserDataXY(e,t,r,s);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(a!=null){let u=RN(a,this.outputNames);l=[];for(let p=0;p{let s=this.checkNumSamples(t,n,r,"steps"),i=[];if(a>0)throw new Oe("Verbose mode is not implemented yet.");if(r!=null)throw new Oe("steps mode in testLoop() is not implemented yet");{let o=vb(s,n),l=je(qa(0,s));for(let u=0;u1){let s=Tk(e.slice(0,n),a);r+=`_${s}`}t.push(r)}return t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),a=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),s=[],i=()=>{let u=[];for(let h=0;h1&&h{c=X(c,h)}),c},o=this.collectedTrainableWeights.map(u=>u.read()),l=!0;return[this.optimizer_.minimize(i,l,o)].concat(s)}}makeTestFunction(){this.testFunction=e=>P(()=>{let t=[],n,a=e.slice(0,this.inputs.length),r=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=[];for(let l=0;l0){if(f=!0,n.validationData.length===2)o=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new Oe("validationData including sample weights is not supported yet."):new V(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let C=!0,E=await this.standardizeUserData(o,l,null,null,C,c);u=E[0],p=E[1],g=u.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){f=!0;let C=Math.floor(a[0].shape[0]*(1-n.validationSplit)),E=a[0].shape[0];u=Cp(a,C,E),s=a,a=Cp(a,0,C),p=Cp(r,C,E),i=r,r=Cp(r,0,C),g=u.concat(p)}else n.validationSteps!=null&&(f=!0);let y=a.concat(r).concat(d);this.checkTrainableWeightsConsistency();let b=this.makeTrainFunction(),x=this.getDedupedMetricsNames(),w,I;f?(this.makeTestFunction(),w=this.testFunction,I=x.slice().concat(x.map(C=>"val_"+C))):(w=null,g=[],I=x.slice());let T=TN(n.callbacks,n.yieldEvery);return await this.fitLoop(b,y,x,c,n.epochs,n.verbose,T,w,g,n.shuffle,I,n.initialEpoch,null,null)}finally{this.isTraining=!1,za(a,e),za(r,t),za(s,e),za(i,t),za(u,o),za(p,l),d!=null&&_e(d)}}async fitLoop(e,t,n,a,r,s,i,o,l,u,p,d,c,h){a==null&&(a=32),r==null&&(r=1),u==null&&(u=!0),d==null&&(d=0);let m=!1;if(o!=null&&l!=null&&(m=!0),h!=null&&(m=!0,c==null))throw new V("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let f=this.checkNumSamples(t,a,c,"steps_per_epoch"),g;f!=null&&(g=qa(0,f)),s==null&&(s=1);let{callbackList:y,history:b}=NN(i,s,r,d,f,c,a,m,p);y.setModel(this),this.history=b,await y.onTrainBegin(),this.stopTraining_=!1;for(let x=d;x{let $=T[C][0],R=T[C][1],F=Qs(I,$,R-$);E.batch=C,E.size=R-$;let S=Xb(t,F),M=e(S);for(let B=0;BNr(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let a of t)if(typeof n[a]=="string")e[a]=Nr(n[a]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Nr(ph(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Nr(ph(e)));{let e={};for(let t in this.metrics)e[t]=Nr(ph(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=tc(e.optimizer_config),n=Ga(t),a;if(typeof e.loss=="string")a=js(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(s=>js(s));else if(e.loss!=null){a={};for(let s in e.loss)a[s]=js(e.loss[s])}let r;if(Array.isArray(e.metrics))r=e.metrics.map(s=>js(s));else if(e.metrics!=null){r={};for(let s in e.metrics)r[s]=js(e.metrics[s])}this.compile({loss:a,metrics:r,optimizer:n})}async save(e,t){if(typeof e=="string"){let i=Ht.getSaveHandlers(e);if(i.length===0)throw new V(`Cannot find any save handlers for URL '${e}'`);if(i.length>1)throw new V(`Found more than one (${i.length}) save handlers for URL '${e}'`);e=i[0]}if(e.save==null)throw new V("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Ht.encodeWeights(this.getNamedWeights(t)),a=!1,r=null,s={modelTopology:this.toJSON(r,a),format:EU,generatedBy:`TensorFlow.js tfjs-layers v${kw}`,convertedBy:null};if(t!=null&&t.includeOptimizer&&this.optimizer!=null){s.trainingConfig=this.getTrainingConfig();let i="optimizer",{data:o,specs:l}=await Ht.encodeWeights(await this.optimizer.getWeights(),i);n.specs.push(...l),n.data=Ht.concatenateArrayBuffers([n.data,o])}return this.userDefinedMetadata!=null&&(Mk(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=n.data,s.weightSpecs=n.specs,e.save(s)}setUserDefinedMetadata(e){Mk(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};$r.className="Model";ne.registerClass($r);var ON=class extends $r{};ON.className="Functional";ne.registerClass(ON);async function AU(e,t){"modelTopology"in e||(e={modelTopology:e}),e=e;let n=e.modelTopology;n.model_config!=null&&(n=n.model_config);let a=tc(n),r=Ga(a,t);if(e.weightsManifest!=null){let s=await Ht.loadWeights(e.weightsManifest,e.pathPrefix,r.weights.map(o=>o.originalName)),i={};for(let o of r.weights)i[o.originalName]=s[o.originalName];r.loadWeights(i),_e(s)}return r}async function $U(e,t){if(t==null&&(t={}),typeof e=="string"){let n=Ht.getLoadHandlers(e,t);if(n.length===0)n.push(Ht.browserHTTPRequest(e,t));else if(n.length>1)throw new V(`Found more than one (${n.length}) load handlers for URL '${e}'`);e=n[0]}return FU(e,void 0,t)}async function FU(e,t,n){if(n==null&&(n={}),e.load==null)throw new V("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let a=await e.load(),r=a.modelTopology;r.model_config!=null&&(r=r.model_config);let s=n.strict==null?!0:n.strict,i=a.weightData!=null&&a.weightSpecs!=null&&s,o=Ga(tc(r),t,i),l=a.trainingConfig;if(l!=null&&o.loadTrainingConfig(l),a.userDefinedMetadata!=null&&o.setUserDefinedMetadata(a.userDefinedMetadata),a.weightData!=null){if(a.weightSpecs==null)throw new V("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:u,optimizerWeights:p}=RU(a.weightData,a.weightSpecs);o.loadWeights(u,s),o.optimizer!=null&&p.length>0&&await o.optimizer.setWeights(p),_e(u),_e(p.map(d=>d.tensor))}return o}function RU(e,t){let n=Ht.decodeWeights(e,t),a={},r=[];return t.forEach(s=>{s.group==="optimizer"?r.push({name:s.name,tensor:n[s.name]}):a[s.name]=n[s.name]}),{modelWeights:a,optimizerWeights:r}}var Tl=class extends $r{constructor(e){if(super({inputs:[],outputs:[]}),e=e||{},this.trainable=!0,this.built=!1,this.name=e.name!=null?e.name:If("sequential_"),e.layers!=null)for(let t of e.layers)this.add(t)}checkShape(e){if(e.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new V(`Negative dimension size caused by adding layer ${e.name} with input shape [${e.inboundNodes[0].inputTensors[0].shape}]`)}add(e){let t=e instanceof Tl||e instanceof $r,n;if(t){if(n=e,n.outputs.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new V("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new V("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let a=yN({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(t)this.outputs=n.outputs,this.inputs=n.inputs;else{if(e.inboundNodes.length!==1)throw new V(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${e.name} which has ${e.inboundNodes.length} pre-existing inbound connections.`);if(e.inboundNodes[0].outputTensors.length!==1)throw new V("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=gN(this.outputs[0])}this.inboundNodes=[],new Ff({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:ci(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(a=>a.shape),outputShapes:this.outputs[0].shape})}else{let a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(e,t){return this.model==null&&this.build(),this.model.call(e,t)}build(e){if(Je(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new $r({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(e,t,n=console.log){this.built||this.build(),super.summary(e,t,n)}setWeights(e){this.model==null&&this.build(),this.model.setWeights(e)}evaluate(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Ba("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},a=!1){let r,s={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new V("Legacy serialization format not supported yet.");r=t}else v.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=t.layers,delete t.layers,s=t;let i=new e(s);if(!(i instanceof Tl))throw new Oe(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let o of r){let l=Ga(o,void 0,a);a&&l.setFastWeightInitDuringBuild(!0),i.add(l)}return i}set stopTraining(e){if(this.model==null)throw new V("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new V("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};Tl.className="Sequential";ne.registerClass(Tl);function DU(e){return new $r(e)}function MU(e){return new Tl(e)}function LN(e){return yN(e)}function PU(e,t){_a.registerCallbackConstructor(e,t)}var Un=class extends ne.Serializable{getConfig(){return{}}},zN=class extends Un{apply(e,t=1){return iV(e,t)}};zN.className="elu";ne.registerClass(zN);var WN=class extends Un{apply(e){return uf(e)}};WN.className="selu";ne.registerClass(WN);var BN=class extends Un{apply(e){return Ke(e)}};BN.className="relu";ne.registerClass(BN);var VN=class extends Un{apply(e){return P(()=>Wu(6,Ke(e)))}};VN.className="relu6";ne.registerClass(VN);var UN=class extends Un{apply(e){return e}};UN.className="linear";ne.registerClass(UN);var GN=class extends Un{apply(e){return ha(e)}};GN.className="sigmoid";ne.registerClass(GN);var HN=class extends Un{apply(e){return lV(e)}};HN.className="hardSigmoid";ne.registerClass(HN);var qN=class extends Un{apply(e){return bo(e)}};qN.className="softplus";ne.registerClass(qN);var jN=class extends Un{apply(e){return oV(e)}};jN.className="softsign";ne.registerClass(jN);var KN=class extends Un{apply(e){return oi(e)}};KN.className="tanh";ne.registerClass(KN);var Iw=class extends Un{apply(e,t=-1){return Xa(e,t)}};Iw.className="softmax";ne.registerClass(Iw);var XN=class extends Un{apply(e,t=-1){return ef(e,t)}};XN.className="logSoftmax";ne.registerClass(XN);var YN=class extends Un{apply(e,t=1){return P(()=>z(ha(z(e,t)),e))}};YN.className="swish";ne.registerClass(YN);var ZN=class extends Un{apply(e){return P(()=>z(e,oi(bo(e))))}};ZN.className="mish";ne.registerClass(ZN);function hs(e){return e.getClassName()}function wb(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"activation")}function ms(e){if(e==null){let t={};return t.className="linear",t.config={},wb(t)}if(typeof e=="string"){let t={};return t.className=e,t.config={},wb(t)}else return e instanceof Un?e:wb(e)}function Sw(e){if(e!=null&&typeof e!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${e}`)}var JN=class extends ne.Serializable{},Zc=class extends JN{constructor(e){super(),Sw(e),this.l1=e==null||e.l1==null?.01:e.l1,this.l2=e==null||e.l2==null?.01:e.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(e){return P(()=>{let t=It([1]);return this.hasL1&&(t=X(t,fe(z(this.l1,Lt(e))))),this.hasL2&&(t=X(t,fe(z(this.l2,Kc(e))))),W(t,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(e,t){return new e({l1:t.l1,l2:t.l2})}};Zc.className="L1L2";ne.registerClass(Zc);function OU(e){return Sw(e),new Zc({l1:e!=null?e.l1:null,l2:0})}function LU(e){return Sw(e),new Zc({l2:e!=null?e.l2:null,l1:0})}var Bk={l1l2:"L1L2"};function ct(e){return nw(e)}function Vk(e,t={}){return qc(e,ne.SerializationMap.getMap().classNameMap,t,"regularizer")}function Tt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Bk?Bk[e]:e,config:{}};return Vk(t)}else return e instanceof JN?e:Vk(e)}var Tw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null&&(this.maxValue=e.maxValue)}call(e,t){e=Ce(e);let n=Ke(e);return this.maxValue!=null&&(n=tn(n,0,this.maxValue)),n}computeOutputShape(e){return e}getConfig(){let e={maxValue:this.maxValue},t=super.getConfig();return Object.assign(e,t),e}};Tw.className="ReLU";ne.registerClass(Tw);var Nw=class extends Ue{constructor(e){super(e==null?{}:e),this.DEFAULT_ALPHA=.3,e==null&&(e={}),this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Ce(e);return Pc(n,this.alpha)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};Nw.className="LeakyReLU";ne.registerClass(Nw);var Cw=class extends Ue{constructor(e){if(super(e==null?{}:e),this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=St(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Tt(e.alphaRegularizer),this.alphaConstraint=Yt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new V(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=Je(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let a of this.sharedAxes)t[a-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let a=1;a(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,1]):e))}function QN(e,t){return P(()=>(Mt(t),t==="channelsFirst"?Ee(e,[0,2,3,4,1]):e))}function zU(e,t,n,a=1,r="valid",s,i=1){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.shape.length!==3)throw new V(`The input of a conv1dWithBias operation should be 3, but is ${e.shape.length} instead.`);if(t.shape.length!==3)throw new V(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(n!=null&&n.shape.length!==1)throw new V(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(e=Ee(e,[0,2,1])),r==="causal")throw new Oe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=jm(e,t,a,r==="same"?"same":"valid","NWC",i);return n!=null&&(o=Ya(o,n)),o})}function Uk(e,t,n,a=[1,1],r="valid",s,i,o=null){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==3&&e.rank!==4)throw new V(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${e.rank}.`);if(t.rank!==3&&t.rank!==4)throw new V(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${e.rank}.`);let l=$w(e,s);if(r==="causal")throw new Oe("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=wl.conv2d({x:l,filter:t,strides:a,pad:r==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:n,activation:o}),s==="channelsFirst"&&(l=Ee(l,[0,3,1,2])),l})}function WU(e,t,n,a=[1,1,1],r="valid",s,i){return P(()=>{if(s==null&&(s=ja()),Mt(s),e.rank!==4&&e.rank!==5)throw new V(`conv3dWithBias expects input to be of rank 4 or 5, but received ${e.rank}.`);if(t.rank!==4&&t.rank!==5)throw new V(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${e.rank}.`);let o=QN(e,s);if(r==="causal")throw new Oe("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=av(o,t,a,r==="same"?"same":"valid","NDHWC",i),n!=null&&(o=Ya(o,n)),s==="channelsFirst"&&(o=Ee(o,[0,4,1,2,3])),o})}var Fw=class extends Ue{constructor(e,t){if(super(t),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Fw.verifyArgs(t),this.rank=e,en(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Oe(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=hl(t.kernelSize,e,"kernelSize"),this.strides=hl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,va(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Mt(this.dataFormat),this.activation=ms(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=St(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Yt(t.biasConstraint),this.biasRegularizer=Tt(t.biasRegularizer),this.activityRegularizer=Tt(t.activityRegularizer),this.dilationRate=hl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new V(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new V(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new V(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(rr("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,3))throw new V(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:hs(this.activation),useBias:this.useBias,biasInitializer:_t(this.biasInitializer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},Jc=class extends Fw{constructor(e,t){super(e,t),this.kernel=null,Jc.verifyArgs(t),this.filters=t.filters,en(this.filters,"filters"),this.kernelInitializer=St(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Yt(t.kernelConstraint),this.kernelRegularizer=Tt(t.kernelRegularizer)}build(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],a=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n,a=this.bias==null?null:this.bias.read(),r=oN(this.activation.getClassName());if(r!=null&&this.rank===2)n=Uk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)n=zU(e,this.kernel.read(),a,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=Uk(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=WU(e,this.kernel.read(),a,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Oe("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=Je(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let r=0;r 0 but got ${JSON.stringify(e.filters)}`)}},Qc=class extends Jc{constructor(e){super(2,e),Qc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,2))throw new V(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Qc.className="Conv2D";ne.registerClass(Qc);var ed=class extends Jc{constructor(e){super(3,e),ed.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new V(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};ed.className="Conv3D";ne.registerClass(ed);var Rw=class extends Qc{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==4)throw new V("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==4)throw new V(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i;this.dataFormat==="channelsFirst"?(s=2,i=3):(s=1,i=2);let o=a[s],l=a[i],u=this.kernelSize[0],p=this.kernelSize[1],d=this.strides[0],c=this.strides[1],h=sr(o,d,u,this.padding),m=sr(l,c,p,this.padding),f=[r,h,m,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,1]));let g=Km(n,this.kernel.read(),f,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(g=Ee(g,[0,3,1,2])),this.bias!=null&&(g=Ya(g,this.bias.read(),this.dataFormat)),this.activation!=null&&(g=this.activation.apply(g)),g})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3):(n=3,a=1,r=2);let s=this.kernelSize[0],i=this.kernelSize[1],o=this.strides[0],l=this.strides[1];return t[n]=this.filters,t[a]=sr(t[a],o,s,this.padding),t[r]=sr(t[r],l,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Rw.className="Conv2DTranspose";ne.registerClass(Rw);var Dw=class extends ed{constructor(e){if(super(e),this.inputSpec=[new zt({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new V(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=Je(e),e.length!==5)throw new V("Input should have rank 5; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new V("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],a=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new zt({ndim:5,axes:{[t]:n}})],this.built=!0}call(e,t){return P(()=>{let n=Ce(e);if(n.shape.length!==5)throw new V(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let a=n.shape,r=a[0],s,i,o;this.dataFormat==="channelsFirst"?(o=2,s=3,i=4):(o=1,s=2,i=3);let l=a[o],u=a[s],p=a[i],d=this.kernelSize[0],c=this.kernelSize[1],h=this.kernelSize[2],m=this.strides[0],f=this.strides[1],g=this.strides[2],y=sr(l,m,d,this.padding),b=sr(u,f,c,this.padding),x=sr(p,g,h,this.padding),w=[r,y,b,x,this.filters];this.dataFormat!=="channelsLast"&&(n=Ee(n,[0,2,3,4,1]));let I=rv(n,this.kernel.read(),w,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(I=Ee(I,[0,4,1,2,3])),this.bias!==null&&(I=Ya(I,this.bias.read(),this.dataFormat)),this.activation!==null&&(I=this.activation.apply(I)),I})}computeOutputShape(e){e=Je(e);let t=e.slice(),n,a,r,s;this.dataFormat==="channelsFirst"?(n=1,a=2,r=3,s=4):(n=4,a=1,r=2,s=3);let i=this.kernelSize[0],o=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],p=this.strides[1],d=this.strides[2];return t[n]=this.filters,t[a]=sr(t[a],u,i,this.padding),t[r]=sr(t[r],p,o,this.padding),t[s]=sr(t[s],d,l,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};Dw.className="Conv3DTranspose";ne.registerClass(Dw);var e2=class extends Jc{constructor(e,t){if(super(e,t),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new V("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new V("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new V(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Tt(t.depthwiseRegularizer),this.depthwiseConstraint=Yt(t.depthwiseConstraint),this.pointwiseInitializer=St(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Tt(t.pointwiseRegularizer),this.pointwiseConstraint=Yt(t.pointwiseConstraint)}build(e){if(e=Je(e),e.length{e=Ce(e);let n;if(this.rank===1)throw new Oe("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=Ee(e,[0,2,3,1])),n=_s(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Ee(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.pointwiseInitializer=_t(this.pointwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.pointwiseRegularizer=ct(this.pointwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseConstraint),e.pointwiseConstraint=Xt(this.pointwiseConstraint),e}};e2.className="SeparableConv";var Mw=class extends e2{constructor(e){super(2,e)}};Mw.className="SeparableConv2D";ne.registerClass(Mw);var Mf=class extends Jc{constructor(e){super(1,e),Mf.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!aw(e.kernelSize,"number",1,1))throw new V(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};Mf.className="Conv1D";ne.registerClass(Mf);var Pw=class extends Ue{constructor(e){super(e),typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return P(()=>{if(e=Ce(e),this.dataFormat==="channelsLast"){let n=uh(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return uh(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=uh(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return uh(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Pw.className="Cropping2D";ne.registerClass(Pw);var Ow=class extends Ue{constructor(e){super(e),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,Q4(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return P(()=>{let n=Ce(e),a=n.shape;if(this.dataFormat==="channelsFirst"){n=Ee(n,[0,2,3,1]);let r=this.size[0]*a[2],s=this.size[1]*a[3],i=this.interpolation==="nearest"?$a.resizeNearestNeighbor(n,[r,s]):$a.resizeBilinear(n,[r,s]);return Ee(i,[0,3,1,2])}else{let r=this.size[0]*a[1],s=this.size[1]*a[2];return this.interpolation==="nearest"?$a.resizeNearestNeighbor(n,[r,s]):$a.resizeBilinear(n,[r,s])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}};Ow.className="UpSampling2D";ne.registerClass(Ow);function BU(e,t,n=[1,1],a="valid",r,s){return P(()=>{r==null&&(r=ja()),Mt(r);let i=$w(e,r);if(e.rank!==4)throw new V(`Input for depthwiseConv2d is required to be 4-D, but is instead ${e.rank}-D`);if(t.rank!==4)throw new V(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Ns(i,t,n,a==="same"?"same":"valid","NHWC",s),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}var Lw=class extends Fw{constructor(e){super(2,e),this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=St(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Yt(e.depthwiseConstraint),this.depthwiseRegularizer=Tt(e.depthwiseRegularizer)}build(e){if(e=Je(e),e.length<4)throw new V(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new V(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],a=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{e=Ce(e);let n=BU(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=Ya(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,r=Ha(t,this.kernelSize[0],this.padding,this.strides[0]),s=Ha(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,r,s]:[e[0],r,s,a]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=_t(this.depthwiseInitializer),e.depthwiseRegularizer=ct(this.depthwiseRegularizer),e.depthwiseConstraint=Xt(this.depthwiseRegularizer),e}};Lw.className="DepthwiseConv2D";ne.registerClass(Lw);function t2(e,t,n,a){if(Array.isArray(e)){if(t!=null||n!=null)throw new V("When inputs is an array, neither initialState or constants should be provided");a!=null&&(n=e.slice(e.length-a,e.length),e=e.slice(0,e.length-a)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(s){return s==null||Array.isArray(s)?s:[s]}return t=r(t),n=r(n),{inputs:e,initialState:t,constants:n}}function n2(e,t,n,a=!1,r,s,i=!1,o=!1){return P(()=>{let l=t.shape.length;if(l<3)throw new V(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(qa(2,l));if(t=Ee(t,u),s!=null)throw new Oe("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=ie(ie(r,"bool"),"float32"),r.rank===l-1&&(r=Qt(r,-1)),r=Ee(r,u)),a&&(t=ya(t,0),r!=null&&(r=ya(r,0)));let p=[],d,c=n,h=t.shape[0],m=ut(t),f;r!=null&&(f=ut(r));for(let y=0;ye(b,c));if(r==null)d=x[0],c=x[1];else{let w=P(()=>{let I=f[y],T=pe(ta(I),I),C=X(z(x[0],I),z(c[0],T)),E=c.map(($,R)=>X(z(x[1][R],I),z($,T)));return{output:C,newStates:E}});d=w.output,c=w.newStates}o&&p.push(d)}let g;return o&&(g=Ft(p,1)),[d,g,c]})}var gr=class extends Ue{constructor(e){super(e);let t;if(e.cell==null)throw new V("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Lf({cells:e.cell}):t=e.cell,t.stateSize==null)throw new V("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new zt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return qa(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Hb(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],a;if(this.returnSequences?a=[e[0],e[1],n]:a=[e[0],n],this.returnState){let r=[];for(let s of t)r.push([e[0],s]);return[a].concat(r)}else return a}computeMask(e,t){return P(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let a=this.states.map(r=>null);return[n].concat(a)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ns.shape[s.shape.length-1]),r))throw new V(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(s=>new zt({shape:[null,s]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Tr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_=[It([n,this.cell.stateSize])];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(a=>It([n,a])):this.states_[0]=It([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let a=0;aGt(a.clone()))})}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);e=r.inputs,n=r.initialState,a=r.constants;let s=[],i=[];if(n!=null){t.initialState=n,s=s.concat(n),this.stateSpec=[];for(let o of n)this.stateSpec.push(new zt({shape:o.shape}));i=i.concat(this.stateSpec)}if(a!=null&&(t.constants=a,s=s.concat(a),this.numConstants=a.length),s[0]instanceof Va){let o=[e].concat(s),l=this.inputSpec.concat(i),u=this.inputSpec;this.inputSpec=l;let p=super.apply(o,t);return this.inputSpec=u,p}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;e=Ce(e),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(e));let s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==s)throw new V(`RNN Layer has ${s} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:a},o=n2((c,h)=>{let m=this.cell.call([c].concat(h),i);return[m[0],m.slice(1)]},e,r,this.goBackwards,n,null,this.unroll,this.returnSequences),l=o[0],u=o[1],p=o[2];this.stateful&&this.resetStates(p,a);let d=this.returnSequences?u:l;return this.returnState?[d].concat(p):d})}getInitialState(e){return P(()=>{let t=It(e.shape);return t=fe(t,[1,2]),t=jc(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ub(t,[1,n]):t):this.cell.stateSize>1?[Ub(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===gr.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),e),t)}static fromConfig(e,t,n={}){let a=t.cell,r=Ga(a,n);return new e(Object.assign(t,{cell:r}))}};gr.className="RNN";ne.registerClass(gr);var td=class extends Ue{},Pf=class extends td{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let a=t.training==null?!1:t.training;0ta(e),rate:this.dropout,training:a,dropoutFunc:this.dropoutFunc})),0ta(n),rate:this.recurrentDropout,training:a,dropoutFunc:this.dropoutFunc}));let r,s=this.dropoutMask,i=this.recurrentDropoutMask;s!=null?r=ur(z(e,s),this.kernel.read()):r=ur(e,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),i!=null&&(n=z(n,i));let o=X(r,ur(n,this.recurrentKernel.read()));return this.activation!=null&&(o=this.activation.apply(o)),[o,o]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:hs(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),recurrentInitializer:_t(this.recurrentInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),recurrentRegularizer:ct(this.recurrentRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),recurrentConstraint:Xt(this.recurrentConstraint),biasConstraint:Xt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}};Pf.className="SimpleRNNCell";ne.registerClass(Pf);var zw=class extends gr{constructor(e){e.cell=new Pf(e),super(e)}call(e,t){return P(()=>{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return new e(t)}};zw.className="SimpleRNN";ne.registerClass(zw);var Of=class extends td{constructor(e){if(super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new V("GRUCell does not support reset_after parameter set to true.");this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ms(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=Je(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return P(()=>{if(e=e,e.length!==2)throw new V(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,a=e[1];e=e[0],0ta(e),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let r=this.dropoutMask,s=this.recurrentDropoutMask,i,o,l;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Ww.className="GRU";ne.registerClass(Ww);var nd=class extends td{constructor(e){super(e),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=ms(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=St(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=Tt(e.kernelRegularizer),this.recurrentRegularizer=Tt(e.recurrentRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.kernelConstraint=Yt(e.kernelConstraint),this.recurrentConstraint=Yt(e.recurrentConstraint),this.biasConstraint=Yt(e.biasConstraint),this.dropout=Il([1,ds([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=Il([1,ds([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.dropoutFunc=e.dropoutFunc,this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=Je(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let a;if(this.useBias){if(this.unitForgetBias){let r=this.biasInitializer,s=this.units;a=new(t=class extends Pa{apply(i,o){let l=r.apply([s]),u=new Tf().apply([s]),p=r.apply([s*2]);return Ck(Ck(l,u),p)}},t.className="CustomInit",t)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new V(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let a=e[1],r=e[2];e=e[0],0ta(e),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0ta(a),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,o,l,u,p;0{this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Bw.className="LSTM";ne.registerClass(Bw);var Lf=class extends td{constructor(e){super(e),this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return P(()=>{e=e;let n=e.slice(1),a=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?a.push(n.splice(0,i.stateSize.length)):a.push(n.splice(0,1));a.reverse();let r=[],s;for(let i=0;i{Js(`RNNCell_${a}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=a=>({className:a.getClassName(),config:a.getConfig()}),n={cells:this.cells.map(t)};return Object.assign(Object.assign({},e),n)}static fromConfig(e,t,n={}){let a=[];for(let r of t.cells)a.push(Ga(r,n));return new e({cells:a})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return qb(e)}setWeights(e){let t=[];for(let n of this.cells){let a=n.weights.length,r=e.splice(a);for(let s=0;ss!=null?s(t(),n):mN(t(),n),o=()=>Xc(i,t,a);return!r||r<=1?Gt(o().clone()):Array(r).fill(void 0).map(o).map(l=>Gt(l.clone()))}var VU=function(e,t){var n={};for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&t.indexOf(a)<0&&(n[a]=e[a]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,a=Object.getOwnPropertySymbols(e);r{if(this.cell.dropoutMask!=null&&(_e(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(_e(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new V("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,a=t==null?null:t.training,r=t==null?null:t.initialState;return super.call(e,{mask:n,training:a,initialState:r})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return P(()=>{let{stateSize:t}=this.cell,n=e.shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)],s=It(r);return Array.isArray(t)?Array(t.length).fill(s):[s]})}resetStates(e,t=!1){P(()=>{if(!this.stateful)throw new Tr("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,a=this.computeSingleOutputShape(n),r=[a[0],...a.slice(2)];if(n[0]==null)throw new V("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_=[It(r)];else if(e==null)_e(this.states_),this.keptStates!=null&&(_e(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>It(r)):this.states_[0]=It(r);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new V(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):_e(this.states_);for(let s=0;sGt(s.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:a,padding:r,strides:s,dilationRate:i}=this.cell,o=t==="channelsFirst",l=e[o?3:2],u=e[o?4:3],p=Ha(l,a[0],r,s[0],i[0]),d=Ha(u,a[1],r,s[1],i[1]);return[...e.slice(0,2),...o?[n,p,d]:[p,d,n]]}};a2.className="ConvRNN2D";var zf=class extends nd{constructor(e){let{filters:t,kernelSize:n,strides:a,padding:r,dataFormat:s,dilationRate:i}=e;super(Object.assign(Object.assign({},e),{units:t})),this.filters=t,en(this.filters,"filters"),this.kernelSize=hl(n,2,"kernelSize"),this.kernelSize.forEach(o=>en(o,"kernelSize")),this.strides=hl(a||1,2,"strides"),this.strides.forEach(o=>en(o,"strides")),this.padding=r||"valid",va(this.padding),this.dataFormat=s||"channelsLast",Mt(this.dataFormat),this.dilationRate=hl(i||1,2,"dilationRate"),this.dilationRate.forEach(o=>en(o,"dilationRate"))}build(e){var t;e=Je(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new V(`The channel dimension of the input should be defined. Found ${e[n]}`);let a=e[n],r=4,s=this.kernelSize.concat([a,this.filters*r]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let o;if(this.unitForgetBias){let l=this.biasInitializer,u=this.filters;o=new(t=class extends Pa{apply(p,d){let c=l.apply([u]),h=Jn([u]),m=l.apply([u*2]);return rw([c,h,m])}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return P(()=>{if(e.length!==3)throw new V(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,a=e[0],r=e[1],s=e[2],i=4;0ta(a),rate:this.dropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let o=this.dropoutMask,l=(Z,J,ee)=>!J||!J[ee]?Z:z(J[ee],Z),u=l(a,o,0),p=l(a,o,1),d=l(a,o,2),c=l(a,o,3);0ta(r),rate:this.recurrentDropout,training:n,count:i,dropoutFunc:this.dropoutFunc}));let h=this.recurrentDropoutMask,m=l(r,h,0),f=l(r,h,1),g=l(r,h,2),y=l(r,h,3),b=3,[x,w,I,T]=zn(this.kernel.read(),i,b),[C,E,$,R]=this.useBias?zn(this.bias.read(),i):[null,null,null,null];u=this.inputConv(u,x,C,this.padding),p=this.inputConv(p,w,E,this.padding),d=this.inputConv(d,I,$,this.padding),c=this.inputConv(c,T,R,this.padding);let[F,S,M,B]=zn(this.recurrentKernel.read(),i,b);m=this.recurrentConv(m,F),f=this.recurrentConv(f,S),g=this.recurrentConv(g,M),y=this.recurrentConv(y,B);let U=this.recurrentActivation.apply(X(u,m)),G=this.recurrentActivation.apply(X(p,f)),j=X(z(G,s),z(U,this.activation.apply(X(d,g)))),K=z(this.recurrentActivation.apply(X(c,y)),this.activation.apply(j));return[K,K,j]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=VU(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),a)}inputConv(e,t,n,a){let r=Rt(e,t,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?Ya(r,n,this.dataFormat):r}recurrentConv(e,t){return Rt(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};zf.className="ConvLSTM2DCell";ne.registerClass(zf);var Vw=class extends a2{constructor(e){let t=new zf(e);super(Object.assign(Object.assign({},e),{cell:t}))}static fromConfig(e,t){return new e(t)}};Vw.className="ConvLSTM2D";ne.registerClass(Vw);var Wf=class extends Ue{constructor(e){super(e),this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);if(0mN(n,this.rate,r,this.seed),()=>n,a)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Wf.className="Dropout";ne.registerClass(Wf);var Uw=class extends Wf{constructor(e){super(e),this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Uw.className="SpatialDropout1D";ne.registerClass(Uw);var Gw=class extends Ue{constructor(e){if(super(e),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,en(this.units,"units"),this.activation=ms(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=St(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=St(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Yt(e.kernelConstraint),this.biasConstraint=Yt(e.biasConstraint),this.kernelRegularizer=Tt(e.kernelRegularizer),this.biasRegularizer=Tt(e.biasRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=Je(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=Je(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=oN(this.activation.getClassName()),r;return a!=null?r=ur(n,this.kernel.read(),a,this.bias?this.bias.read():null):(r=ur(n,this.kernel.read()),this.bias!=null&&(r=Ya(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){let e={units:this.units,activation:hs(this.activation),useBias:this.useBias,kernelInitializer:_t(this.kernelInitializer),biasInitializer:_t(this.biasInitializer),kernelRegularizer:ct(this.kernelRegularizer),biasRegularizer:ct(this.biasRegularizer),activityRegularizer:ct(this.activityRegularizer),kernelConstraint:Xt(this.kernelConstraint),biasConstraint:Xt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Gw.className="Dense";ne.registerClass(Gw);var Hw=class extends Ue{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=Je(e);for(let t of e.slice(1))if(t==null)throw new V(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],os(e,1)]}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let a=[0];for(let r=2;r{this.invokeCallHook(e,t);let n=Ce(e);return this.activation.apply(n)})}getConfig(){let e={activation:hs(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};qw.className="Activation";ne.registerClass(qw);var jw=class extends Ue{constructor(e){super(e),this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return P(()=>(e=Ce(e),aV(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};jw.className="RepeatVector";ne.registerClass(jw);var Kw=class extends Ue{constructor(e){super(e),this.targetShape=e.targetShape;for(let t=0;t{this.invokeCallHook(e,t);let n=Ce(e),a=n.shape,r=a.slice(0,1).concat(this.fixUnknownDimension(a.slice(1),this.targetShape));return W(n,r)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};Kw.className="Reshape";ne.registerClass(Kw);var Xw=class extends Ue{constructor(e){if(super(e),e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=qa(1,e.dims.length+1);if(!v.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new zt({ndim:this.dims.length+1})]}computeOutputShape(e){e=Je(e);let t=e.slice();return this.dims.forEach((n,a)=>{t[a+1]=e[n]}),t}call(e,t){return Ee(Ce(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Xw.className="Permute";ne.registerClass(Xw);var Yw=class extends Ue{constructor(e){super(e==null?{}:e),this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Ce(e),a=-1;return Yp(ui(n,this.maskValue),a)}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e),a=-1,r=!0,s=Yp(ui(n,this.maskValue),a,r);return z(n,ie(s,n.dtype))})}};Yw.className="Masking";ne.registerClass(Yw);var Zw=class extends Ue{constructor(e){if(super(e),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(xt(e.inputLength))}this.inputDim=e.inputDim,en(this.inputDim,"inputDim"),this.outputDim=e.outputDim,en(this.outputDim,"outputDim"),this.embeddingsInitializer=St(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Tt(e.embeddingsRegularizer),this.activityRegularizer=Tt(e.activityRegularizer),this.embeddingsConstraint=Yt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return P(()=>this.maskZero?(e=Ce(e),ui(e,qe(e))):null)}computeOutputShape(e){if(e=Je(e),this.inputLength==null)return[...e,this.outputDim];let t=xt(this.inputLength);if(t.length!==e.length-1)throw new V(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let a=0;a{this.invokeCallHook(e,t);let n=Ce(e);n.dtype!=="int32"&&(n=lr(n,"int32"));let a=hN(this.embeddings.read(),W(n,[n.size]));return W(a,Je(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:_t(this.embeddingsInitializer),embeddingsRegularizer:ct(this.embeddingsRegularizer),activityRegularizer:ct(this.activityRegularizer),embeddingsConstraint:Xt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Zw.className="Embedding";ne.registerClass(Zw);var So=class extends Ue{constructor(e){super(e||{}),this.supportsMasking=!0}mergeFunction(e){throw new Oe}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length1)throw new V(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let r=1;rr.length);e.indexOf(null)===-1&&is(a).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return P(()=>{if(e=e,this.reshapeRequired){let n=[],a=e.map(r=>r.rank);if(a.indexOf(null)===-1){let r=ds(a);for(let s of e){let i=s.rank;for(let o=0;o1){let u=qa(1,l).concat([0]);n.push(Ee(o,u)),r=!0}else n.push(o)}let s=this.mergeFunction(n),i=s.rank;if(r){if(i==null){let o=s.shape,l=o.length,u=o[l-1],p=[u].concat(o.slice(0,o.length-1));s=W(Ee(W(s,[-1,u]),[1,0]),p)}else if(i>1){let o=[i-1].concat(qa(0,i-1));s=Ee(s,o)}}return s}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let a=1;a{if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an Array");if(!Array.isArray(e))throw new V("`inputs` should be an Array");if(t.length!==e.length)throw new V(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(a=>a==null))return null;t=t.map(a=>a==null?a:Qt(a,0));let n=t[0];for(let a=1;a{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0].clone();for(let n=1;n{let t=e[0];for(let n=1;n{let t=e[0];for(let n=1;n1)throw new V("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return P(()=>rw(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new V("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),a=this.axis<0?n.length+this.axis:this.axis;for(let r of t.slice(1)){if(n[a]==null||r[a]==null){n[a]=null;break}n[a]+=r[a]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new V("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new V("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new V(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return P(()=>{let n=!0;if(t.forEach(s=>{if(s!=null){n=!1;return}}),n)return null;let a=[];for(let s=0;s3||t.shape.length>3)throw new Oe("batchDot is not implemented for tensors of 4D or higher rank yet");if(v.assert(e.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${e.shape.length}`),v.assert(e.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof n=="number"&&(n=[n,n]),e.dtype==="complex64"||t.dtype==="complex64")throw new Oe("batchDot is not implemented for complex64-type Tensors yet.");let a=e.shape.length,r=t.shape.length;n==null&&(n=[a-1,r-2]);let s=n;return P(()=>{let i;if(a>r){i=a-r;let l=[];for(let u=0;ua){i=r-a;let l=[];for(let u=0;u0){let l;a>r?l=a+r-3:l=a-1;let u=[];for(let p=l;p"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Oe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new V(`Dimension incompatibility: ${t[a[0]]} !== ${n[a[1]]}`)}mergeFunction(e){if(e.length!==2)throw new V(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],a;return Array.isArray(this.axes)?a=this.axes.map((r,s)=>_p(r,e[s].shape.length)):a=[_p(this.axes,t.shape.length),_p(this.axes,n.shape.length)],this.normalize&&(t=Uh(t,a[0]),n=Uh(n,a[1])),UU(t,n,a)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[_p(this.axes,e.length),_p(this.axes,t.length)],n}computeOutputShape(e){v.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Oe("Dot layer does not support tensors of 4D or higher rank yet.");let a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);let r=t.concat(n);return r.length===1&&r.push(1),r}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};r0.className="Dot";ne.registerClass(r0);var s0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return Xc(()=>X(Sf(n.shape,0,this.stddev),n),()=>n,t.training||!1)})}};s0.className="GaussianNoise";ne.registerClass(s0);var i0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{this.invokeCallHook(e,t);let n=Ce(e);return this.rate>0&&this.rate<1?Xc(()=>{let a=Math.sqrt(this.rate/(1-this.rate));return z(n,Sf(n.shape,1,a))},()=>n,t.training||!1):n})}};i0.className="GaussianDropout";ne.registerClass(i0);var o0=class extends Ue{constructor(e){super(e),this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Ce(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return P(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return Xc(()=>{let a=Ce(e),r=1.6732632423543772,s=1.0507009873554805,i=-r*s,o=Dr(Bu(n),this.rate);o=lr(o,"float32");let l=((1-this.rate)*(1+this.rate*i**2))**-.5,u=-l*i*this.rate,p=X(z(a,o),z(X(o,-1),i));return X(z(p,l),u)},()=>Ce(e),t.training||!1)}return e})}};o0.className="AlphaDropout";ne.registerClass(o0);function nc(e,t,n,a,r,s=.001){let i;if(e.rank===2)i=jx(e,t,n,a,r,s);else if(e.rank===3)i=Kx(e,t,n,a,r,s);else if(e.rank===4)i=Xx(e,t,n,a,r,s);else throw new Oe(`batchNormalization is not implemented for array of rank ${e.rank} yet`);return i}function GU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance;return[nc(e,i,o,n,t,r),i,o]})}function HU(e,t,n,a,r=.001){return P(()=>{let s=zc(e,a),i=s.mean,o=s.variance,l=[];for(let h of qa(0,e.rank))a.indexOf(h)!==-1?l.push(1):l.push(e.shape[h]);let u=W(i,l),p=W(o,l),d=t==null?null:W(t,l),c=n==null?null:W(n,l);return[nc(e,u,p,c,d,r),i,o]})}function qU(e,t,n,a,r=.001){return v.arraysEqual(a.slice().sort(),qa(0,e.rank-1))?GU(e,t,n,a,r):HU(e,t,n,a,r)}var l0=class extends Ue{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.movingMeanInitializer=St(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=St(e.movingVarianceInitializer||"ones"),this.betaConstraint=Yt(e.betaConstraint),this.gammaConstraint=Yt(e.gammaConstraint),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer)}build(e){e=Je(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new V(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new zt({ndim:e.length,axes:{[t]:n}})];let a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return P(()=>{let n=t.training==null?!1:t.training,a=Ce(e),r=a.shape,s=r.length,i=qa(0,s),o=this.axis>=0?this.axis:this.axis+s;i.splice(o,1);let l=ci(1,s);l[o]=r[o];let u=i.slice();u.sort();let p=!v.arraysEqual(u,qa(0,s).slice(0,s-1)),d=()=>{if(p){let g=W(this.movingMean.read(),l),y=W(this.movingVariance.read(),l),b=this.center?W(this.beta.read(),l):null,x=this.scale?W(this.gamma.read(),l):null;return nc(a,g,y,b,x,this.epsilon)}else return nc(a,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return d();let[c,h,m]=qU(a,this.gamma.read(),this.beta.read(),i,this.epsilon),f=(g,y,b)=>{P(()=>{let x=1-b,w=g.read(),I=z(pe(w,y),x);g.write(pe(w,I))})};return f(this.movingMean,h,this.momentum),f(this.movingVariance,m,this.momentum),c})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:_t(this.betaInitializer),gammaInitializer:_t(this.gammaInitializer),movingMeanInitializer:_t(this.movingMeanInitializer),movingVarianceInitializer:_t(this.movingVarianceInitializer),betaRegularizer:ct(this.betaRegularizer),gammaRegularizer:ct(this.gammaRegularizer),betaConstraint:Xt(this.betaConstraint),gammaConstraint:Xt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};l0.className="BatchNormalization";ne.registerClass(l0);var u0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=St(e.betaInitializer||"zeros"),this.gammaInitializer=St(e.gammaInitializer||"ones"),this.betaRegularizer=Tt(e.betaRegularizer),this.gammaRegularizer=Tt(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=Je(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=t)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==is(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(r=>e[r]),a=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,a):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,a):this.beta=null,this.built=!0}call(e,t){let n=Ce(e),a=n.shape,r=a.length;return P(()=>{let{mean:s,variance:i}=zc(n,this.axis,!0),o=ci(1,r);for(let h of this.axis)o[h]=a[h];let l=h=>h!=null&&h.shape.length!==r?W(h,o):h,u=this.scale?l(this.gamma.read()):null,p=this.center?l(this.beta.read()):null,d=[],c=[];for(let h=0;h{if(e.rank!==4)throw new V(`temporalPadding expects input tensor to be 4-D, but received a ${e.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new V("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(n==null&&(n=ja()),n!=="channelsLast"&&n!=="channelsFirst")throw new V(`Unknown data format: ${n}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let a;return n==="channelsFirst"?a=[[0,0],[0,0],t[0],t[1]]:a=[[0,0],t[0],t[1],[0,0]],xa(e,a)})}var p0=class extends Ue{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?ja():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new V(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new V(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new V(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return P(()=>jU(Ce(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};p0.className="ZeroPadding2D";ne.registerClass(p0);function Bf(e,t,n,a,r,s){return P(()=>{Mt(r),uN(s),va(a),n==null&&(n=[1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=$w(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=Dt(e,t,n,o):i=ba(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,3,1,2])),i})}function r2(e,t,n,a,r,s){return P(()=>{Mt(r),uN(s),va(a),n==null&&(n=[1,1,1]),a==null&&(a="valid"),r==null&&(r=ja()),s==null&&(s="max"),e=QN(e,r);let i,o=a==="same"?"same":"valid";return s==="max"?i=vv(e,t,n,o):i=qx(e,t,n,o),r==="channelsFirst"&&(i=Ee(i,[0,4,1,2,3])),i})}var s2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new V(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(en(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new V(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,va(this.padding),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){e=Je(e);let t=Ha(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return P(()=>{this.invokeCallHook(e,t),e=jc(Ce(e),2);let n=this.poolingFunction(Ce(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Es(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},c0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"max")}};c0.className="MaxPooling1D";ne.registerClass(c0);var d0=class extends s2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"avg")}};d0.className="AveragePooling1D";ne.registerClass(d0);var i2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new V(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),va(this.padding),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},h0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"max")}};h0.className="MaxPooling2D";ne.registerClass(h0);var m0=class extends i2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),Bf(e,t,n,a,r,"avg")}};m0.className="AveragePooling2D";ne.registerClass(m0);var o2=class extends Ue{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new V(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];en(this.poolSize,"poolSize"),en(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),va(this.padding),this.inputSpec=[new zt({ndim:5})]}computeOutputShape(e){e=Je(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=Ha(t,this.poolSize[0],this.padding,this.strides[0]),n=Ha(n,this.poolSize[1],this.padding,this.strides[1]),a=Ha(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,a]:[e[0],t,n,a,e[4]]}call(e,t){return P(()=>(this.invokeCallHook(e,t),this.poolingFunction(Ce(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},f0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),r2(e,t,n,a,r,"max")}};f0.className="MaxPooling3D";ne.registerClass(f0);var g0=class extends o2{constructor(e){super(e)}poolingFunction(e,t,n,a,r){return Mt(r),va(a),r2(e,t,n,a,r,"avg")}};g0.className="AveragePooling3D";ne.registerClass(g0);var l2=class extends Ue{constructor(e){super(e),this.inputSpec=[new zt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Oe}},y0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return Ct(n,1)})}};y0.className="GlobalAveragePooling1D";ne.registerClass(y0);var b0=class extends l2{constructor(e){super(e||{})}call(e,t){return P(()=>{let n=Ce(e);return ma(n,1)})}};b0.className="GlobalMaxPooling1D";ne.registerClass(b0);var u2=class extends Ue{constructor(e){super(e),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Mt(this.dataFormat),this.inputSpec=[new zt({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Oe}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},x0=class extends u2{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?Ct(n,[1,2]):Ct(n,[2,3])})}};x0.className="GlobalAveragePooling2D";ne.registerClass(x0);var v0=class extends u2{call(e,t){return P(()=>{let n=Ce(e);return this.dataFormat==="channelsLast"?ma(n,[1,2]):ma(n,[2,3])})}};v0.className="GlobalMaxPooling2D";ne.registerClass(v0);var p2=class extends Ue{constructor(e){super(e),this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let a=t.layer,r=Ga(a,n);delete t.layer;let s={layer:r};return Object.assign(s,t),new e(s)}},w0=class extends p2{constructor(e){super(e),this.supportsMasking=!0}build(e){if(e=Je(e),e.length<3)throw new V(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=Je(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),a=e[1];return[n[0],a].concat(n.slice(1))}call(e,t){return P(()=>(e=Ce(e),n2((n,a)=>[Ce(this.layer.call(n,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};w0.className="TimeDistributed";ne.registerClass(w0);function KU(e){ko(J4,"BidirectionalMergeMode",e)}var XU="concat",k0=class extends p2{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Ga(n),t.goBackwards=t.goBackwards!==!0;let a={};if(a.className=e.layer.getClassName(),a.config=t,this.backwardLayer=Ga(a),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?XU:e.mergeMode,KU(this.mergeMode),e.weights)throw new Oe("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,a,r;return this.returnState&&(r=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,a=[n]):this.mergeMode==null?a=[n,n.slice()]:a=[n],this.returnState?this.mergeMode==null?a.concat(r).concat(r.slice()):[n].concat(r).concat(r.slice()):On(a)}apply(e,t){let n=t==null?null:t.initialState,a=t==null?null:t.constants;t==null&&(t={});let r=t2(e,n,a,this.numConstants);if(e=r.inputs,n=r.initialState,a=r.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&a==null)return super.apply(e,t);let s=[],i=[];if(n!=null){let l=n.length;if(l%2>0)throw new V("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,s.push(...n);let u=n.map(p=>new zt({shape:p.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),i.push(...u)}if(a!=null)throw new Oe("Support for constants in Bidirectional layers is not implemented yet.");let o=s[0]instanceof Va;for(let l of s)if(l instanceof Va!==o)throw new V("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){let l=[e].concat(s),u=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=u;let d=super.apply(l,t);return this.inputSpec=p,d}else return super.apply(e,t)}call(e,t){return P(()=>{let n=t.initialState,a,r;if(n==null)a=this.forwardLayer.call(e,t),r=this.backwardLayer.call(e,t);else{let o=n.slice(0,n.length/2),l=n.slice(n.length/2);a=this.forwardLayer.call(e,Object.assign(t,{initialState:o})),r=this.backwardLayer.call(e,Object.assign(t,{initialState:l}))}let s;this.returnState&&(Array.isArray(a)&&(s=a.slice(1).concat(r.slice(1))),a=a[0],r=r[0]),this.returnSequences&&(r=ya(r,1));let i;return this.mergeMode==="concat"?i=rw([a,r]):this.mergeMode==="sum"?i=X(a,r):this.mergeMode==="ave"?i=z(.5,X(a,r)):this.mergeMode==="mul"?i=z(a,r):this.mergeMode==null&&(i=[a,r]),this.returnState?this.mergeMode==null?i.concat(s):[i].concat(s):i})}resetStates(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(e){Js(this.forwardLayer.name,()=>{this.forwardLayer.build(e)}),Js(this.backwardLayer.name,()=>{this.backwardLayer.build(e)}),this.built=!0}computeMask(e,t){Array.isArray(t)&&(t=t[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[t,t]:n=t:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let a=this.forwardLayer.states.map(r=>null);return Array.isArray(n)?n.concat(a).concat(a):[n].concat(a).concat(a)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)}getConfig(){let e={mergeMode:this.mergeMode},t=super.getConfig();return Object.assign(e,t),e}static fromConfig(e,t){let n=Ga(t.layer);if(delete t.layer,t.numConstants!=null)throw new Oe("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let a=t;return a.layer=n,new e(a)}};k0.className="Bidirectional";ne.registerClass(k0);var I0=class extends Ue{constructor(e){super(e),this.scale=e.scale,e.offset?this.offset=e.offset:this.offset=0}getConfig(){let e={scale:this.scale,offset:this.offset},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>(e=Ce(e),e.dtype!=="float32"&&(e=lr(e,"float32")),X(z(e,this.scale),this.offset)))}};I0.className="Rescaling";ne.registerClass(I0);var{resizeBilinear:YU,cropAndResize:ZU}=$a,S0=class extends Ue{constructor(e){super(e),this.height=e.height,this.width=e.width}centerCrop(e,t,n,a,r,s,i,o){return P(()=>{let l,u=!1,p=t/s,d=n/i,c=(a+t)/s,h=(r+n)/i,m=[p,d,c,h],f=[];e.rank===3?(u=!0,l=Ft([e])):l=e;for(let x=0;x{let r=YU(e,[t,n]);return lr(r,a)})}call(e,t){return P(()=>{let n=Ce(e),a=n.dtype,r=n.shape,s=r[r.length-3],i=r[r.length-2],o=0;s!==this.height&&(o=Math.floor((s-this.height)/2));let l=0;return i!==this.width&&(l=Math.floor((i-this.width)/2),l===0&&(l=1)),o>=0&&l>=0?this.centerCrop(n,o,l,this.height,this.width,s,i,a):this.upsize(e,this.height,this.width,a)})}getConfig(){let e={height:this.height,width:this.width},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){e=Je(e);let t=e.length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}};S0.className="CenterCrop";ne.registerClass(S0);function JU(e,t,n,a){let r=Ce(e);if(r.dtype!=="int32"&&(r=lr(r,"int32")),t==="int")return r;let s=r.shape;if(r.rank===0&&(r=Qt(r,-1)),t==="oneHot"&&r.shape[r.shape.length-1]!==1&&(r=Qt(r,-1)),r.rank>2)throw new V(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${r.rank}.`);let i=["multiHot","oneHot"].includes(t),o=r,l;if(typeof a!="undefined"&&t==="count"?l=Lh(o,a,n,i):l=Lh(o,[],n,i),t!=="tfIdf")return l;if(a)return z(l,a);throw new V("When outputMode is 'tfIdf', weights must be provided.")}var T0=class extends Ue{constructor(e){super(e),this.numTokens=e.numTokens,e.outputMode?this.outputMode=e.outputMode:this.outputMode="multiHot"}getConfig(){let e={numTokens:this.numTokens,outputMode:this.outputMode},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){return e=Je(e),e==null?[this.numTokens]:this.outputMode==="oneHot"&&e[e.length-1]!==1?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}call(e,t){return P(()=>{e=Ce(e),e.dtype!=="int32"&&(e=lr(e,"int32"));let n;if(typeof t.countWeights!="undefined"){if(this.outputMode!=="count")throw new V(`countWeights is not used when outputMode !== count. + Received countWeights=${t.countWeights}`);n=Ce(t.countWeights)}let a=ma(e),r=gl(e),s=Cn(this.numTokens,a).bufferSync().get(0),i=Dr(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return JU(e,this.outputMode,this.numTokens,n)})}};T0.className="CategoryEncoding";ne.registerClass(T0);var QU=["bilinear","nearest"],Gk=new Set(QU),N0=class extends Ue{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(Gk.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Je(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return $a.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return $a.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Gk]} are supported`)})}};N0.className="Resizing";ne.registerClass(N0);function eG(e){return new Uu(e)}function tG(e){return new _w(e)}function nG(e){return new Tw(e)}function aG(e){return new Nw(e)}function rG(e){return new Cw(e)}function sG(e){return new Aw(e)}function iG(e){return new Ew(e)}function oG(e){return new Mf(e)}function lG(e){return new Qc(e)}function uG(e){return new Rw(e)}function pG(e){return new ed(e)}function cG(e){return new Dw(e)}function dG(e){return new Mw(e)}function hG(e){return new Pw(e)}function mG(e){return new Ow(e)}function fG(e){return new Lw(e)}function gG(e){return new qw(e)}function yG(e){return new Gw(e)}function bG(e){return new Wf(e)}function xG(e){return new Uw(e)}function vG(e){return new Hw(e)}function wG(e){return new jw(e)}function kG(e){return new Kw(e)}function IG(e){return new Xw(e)}function SG(e){return new Zw(e)}function TG(e){return new Jw(e)}function NG(e){return new e0(e)}function CG(e){return new a0(e)}function _G(e){return new t0(e)}function EG(e){return new n0(e)}function AG(e){return new Qw(e)}function $G(e){return new r0(e)}function FG(e){return new l0(e)}function RG(e){return new u0(e)}function DG(e){return new p0(e)}function C0(e){return new d0(e)}function MG(e){return C0(e)}function PG(e){return C0(e)}function _0(e){return new m0(e)}function OG(e){return _0(e)}function LG(e){return _0(e)}function E0(e){return new g0(e)}function zG(e){return E0(e)}function WG(e){return E0(e)}function BG(e){return new y0(e)}function VG(e){return new x0(e)}function c2(e){return new b0(e)}function d2(e){return new v0(e)}function h2(e){return new c0(e)}function m2(e){return new h0(e)}function UG(e){return new f0(e)}function GG(e){return new Ww(e)}function HG(e){return new Of(e)}function qG(e){return new Bw(e)}function jG(e){return new nd(e)}function KG(e){return new zw(e)}function XG(e){return new Pf(e)}function YG(e){return new Vw(e)}function ZG(e){return new zf(e)}function JG(e){return new gr(e)}function QG(e){return new Lf(e)}function eH(e){return new k0(e)}function tH(e){return new w0(e)}var nH=c2,aH=d2,rH=h2,sH=m2;function iH(e){return new s0(e)}function oH(e){return new i0(e)}function lH(e){return new o0(e)}function uH(e){return new Yw(e)}function pH(e){return new I0(e)}function cH(e){return new S0(e)}function dH(e){return new N0(e)}function hH(e){return new T0(e)}var f2={};Ae(f2,{MAPE:()=>SH,MSE:()=>CH,binaryAccuracy:()=>mH,binaryCrossentropy:()=>fH,categoricalAccuracy:()=>yH,categoricalCrossentropy:()=>bH,cosineProximity:()=>wH,mape:()=>TH,meanAbsoluteError:()=>kH,meanAbsolutePercentageError:()=>IH,meanSquaredError:()=>NH,mse:()=>_H,precision:()=>xH,recall:()=>vH,sparseCategoricalAccuracy:()=>gH});function mH(e,t){return xw(e,t)}function fH(e,t){return EN(e,t)}function gH(e,t){return AN(e,t)}function yH(e,t){return vw(e,t)}function bH(e,t){return ww(e,t)}function xH(e,t){return _N(e,t)}function vH(e,t){return nU(e,t)}function wH(e,t){return bw(e,t)}function kH(e,t){return Rf(e,t)}function IH(e,t){return Gu(e,t)}function SH(e,t){return Gu(e,t)}function TH(e,t){return Gu(e,t)}function NH(e,t){return Io(e,t)}function CH(e,t){return Io(e,t)}function _H(e,t){return Io(e,t)}var g2={};Ae(g2,{modelFromJSON:()=>AU});var y2={};Ae(y2,{l1:()=>AH,l1l2:()=>EH,l2:()=>$H});function EH(e){return new Zc(e)}function AH(e){return OU(e)}function $H(e){return LU(e)}var b2=class extends Sl{constructor(){super(...arguments),this.model=null}setModel(e){if(!(e instanceof $r))throw new Error("model must be a LayersModel, not some other Container");this.model=e}};function ch(e,t){return et}var x2=class extends b2{constructor(e){if(super(),e==null&&(e={}),e.restoreBestWeights)throw new Oe("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=e.monitor||"val_loss",this.minDelta=Math.abs(e.minDelta||0),this.patience=e.patience||0,this.verbose=e.verbose||0,this.mode=e.mode||"auto",this.baseline=e.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=ch:this.mode==="max"?this.monitorFunc=Hk:this.monitor.indexOf("acc")!==-1?this.monitorFunc=Hk:this.monitorFunc=ch,this.monitorFunc===ch&&(this.minDelta*=-1)}async onTrainBegin(e){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===ch?1/0:-1/0}async onEpochEnd(e,t){await Jr(t);let n=this.getMonitorValue(t);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)))}async onTrainEnd(e){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(e){e==null&&(e={});let t=e[this.monitor];return t==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(e)}`),t}};function FH(e){return new x2(e)}var RH={earlyStopping:FH},DH=H();DH.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var Ca;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ca||(Ca={}));var qk;(function(e){let t;(function(n){n[n.LEGACY=0]="LEGACY",n[n.V1=1]="V1",n[n.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(qk||(qk={}));var A0={};function MH(e,t){let n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};A0[e]=n}function v2(e){return A0[e]}function PH(e){delete A0[e]}function k(e,t,n,a,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return kn(t.inputNames[s.inputIndexStart],n,a,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(d=>kn(d,n,a,r));let u=kn(t.inputNames.slice(o)[0],n,a,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function kn(e,t,n,a){let[r,s]=Yn(e);if(a!=null){let o=a.getHashTableHandleByName(r);if(o!=null)return o}let i=n.currentContextIds.find(o=>!!t[Kh(r,o)]);return i!==void 0?t[Kh(r,i)][s]:void 0}function OH(e,t,n){return t[Kh(e,n.currentContextId)]}function Cr(e,t){let[n,a,r]=Yn(e);return[Kh(n,t&&t.currentContextId),a,r]}function Kh(e,t){return t?`${e}-${t}`:e}function Yn(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let n=t[0],a=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[n,r,a]}function vh(e,t,n){let a=k("pad",e,t,n);if(a==="explicit"){a=k("explicitPaddings",e,t,n);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=a[s*2],r[s][1]=a[s*2+1];return r}return a}function _r(e){return e.kept?e:or(e)}var w2={};Ae(w2,{json:()=>LH});var LH=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],k2={};Ae(k2,{json:()=>zH});var zH=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],I2={};Ae(I2,{json:()=>WH});var WH=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],S2={};Ae(S2,{json:()=>BH});var BH=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],T2={};Ae(T2,{json:()=>VH});var VH=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],N2={};Ae(N2,{json:()=>UH});var UH=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],C2={};Ae(C2,{json:()=>GH});var GH=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],_2={};Ae(_2,{json:()=>HH});var HH=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],E2={};Ae(E2,{json:()=>qH});var qH=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],A2={};Ae(A2,{json:()=>jH});var jH=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],$2={};Ae($2,{json:()=>KH});var KH=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],F2={};Ae(F2,{json:()=>XH});var XH=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],R2={};Ae(R2,{json:()=>YH});var YH=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],D2={};Ae(D2,{json:()=>ZH});var ZH=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],M2={};Ae(M2,{json:()=>JH});var JH=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],P2={};Ae(P2,{json:()=>QH});var QH=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],O2={};Ae(O2,{json:()=>e6});var e6=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],L2={};Ae(L2,{json:()=>t6});var t6=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],z2={};Ae(z2,{json:()=>n6});var n6=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],jk=class{constructor(){let e=[w2,k2,I2,S2,T2,N2,C2,_2,E2,A2,$2,F2,R2,D2,M2,P2,O2,L2,z2],t=[].concat(...e.map(n=>n.json));this.opMappers=t.reduce((n,a)=>(n[a.tfOpName]=a,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let n=e.node,a=[],r=[],s=[],i=n.reduce((m,f)=>(m[f.name]=this.mapNode(f),f.op.startsWith("Placeholder")?a.push(m[f.name]):f.op==="Const"?r.push(m[f.name]):(f.input==null||f.input.length===0)&&s.push(m[f.name]),m),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let d=Object.keys(i);d.forEach(m=>{let f=i[m];f.inputNames.forEach((g,y)=>{let[b,,x]=Cr(g),w=i[b];if(w.outputs!=null){let I=w.outputs.indexOf(x);if(I!==-1){let T=`${b}:${I}`;f.inputNames[y]=T}}f.inputs.push(w),w.children.push(f)})}),Object.keys(p).length===0?d.forEach(m=>{let f=i[m];f.children.length===0&&l.push(f)}):Object.keys(p).forEach(m=>{let[f]=Cr(m),g=i[f];g!=null&&(g.signatureKey=p[m],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(m=>{let[f]=Cr(m),g=i[f];g&&(g.signatureKey=u[m],o.push(g))}):o=a;let c={};e.library!=null&&e.library.function!=null&&(c=e.library.function.reduce((m,f)=>(m[f.signature.name]=this.mapFunction(f),m),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:a,signature:t,functions:c};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,n)=>(t[e[n].name]=n,t),{})}mapNode(e){let t=v2(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(a=>a.startsWith("^")?a.slice(1):a),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(n.inputParams=t.inputs.reduce((a,r)=>(a[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},a),{})),t.attrs!=null&&(n.attrParams=t.attrs.reduce((a,r)=>{let s=r.type,i;switch(r.type){case"string":i=Zb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Zb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=rx(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=rx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=Qb(e.attr,r.tfName,r.defaultValue||0),i===void 0&&r.tfDeprecatedName&&(i=Qb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=ax(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=ax(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=Jb(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Jb(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=ix(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=ix(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=nx(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=nx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=sx(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=sx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=ex(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=ex(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=tx(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=tx(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Kk(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Kk(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return a[r.name]={value:i,type:s},a},{})),n}mapFunction(e){let t=e.nodeDef,n=[],a=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&a.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=Cr(u.name),d={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:$0(u.type),type:"dtype"}},children:[]};d.signatureKey=u.name,s.push(d),r[p]=d}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((d,c)=>{let[h,,m]=Cr(d),f=r[h];if(f.outputs!=null){let g=f.outputs.indexOf(m);if(g!==-1){let y=`${h}:${g}`;p.inputNames[c]=y}}p.inputs.push(f),f.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,d]=Cr(o[u.name]),c=r[p];c!=null&&(c.defaultOutput=d,i.push(c))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:a,placeholders:n,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n),t),{}),outputs:e.signature.outputArg.reduce((t,n)=>(t[n.name]=this.mapArgToTensorInfo(n,e.ret),t),{})}}mapArgToTensorInfo(e,t){let n=e.name;return t!=null&&(n=t[n]),{name:n,dtype:e.type}}};function a6(e){let t=H().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function W2(e,t){let n=Array.isArray(e)?String.fromCharCode.apply(null,e):a6(e);return t?n:n.toLowerCase()}function Zb(e,t,n,a=!1){let r=e[t];return r!=null?W2(r.s,a):n}function Jb(e,t,n){let a=e[t];return a?a.b:n}function Qb(e,t,n){let a=e[t]||{},r=a.i!=null?a.i:a.f!=null?a.f:n;return typeof r=="number"?r:parseInt(r,10)}function $0(e){switch(typeof e=="string"&&(e=Ca[e]),e){case Ca.DT_FLOAT:case Ca.DT_HALF:return"float32";case Ca.DT_INT32:case Ca.DT_INT64:case Ca.DT_INT8:case Ca.DT_UINT8:return"int32";case Ca.DT_BOOL:return"bool";case Ca.DT_DOUBLE:return"float32";case Ca.DT_STRING:return"string";default:return null}}function Kk(e,t,n){let a=e[t];return a&&a.func?a.func.name:n}function ex(e,t,n){let a=e[t];return a&&a.type?$0(a.type):n}function tx(e,t,n){let a=e[t];return a&&a.list&&a.list.type?a.list.type.map(r=>$0(r)):n}function B2(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function nx(e,t,n){let a=e[t];return a&&a.shape?B2(a.shape):n}function ax(e,t,n){let a=e[t];return a?((a.list.f&&a.list.f.length?a.list.f:a.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):n}function rx(e,t,n,a=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>W2(s,a)):n}function sx(e,t,n){let a=e[t];return a&&a.list&&a.list.shape?a.list.shape.map(r=>B2(r)):n}function ix(e,t,n){let a=e[t];return a&&a.list&&a.list.b?a.list.b:n}var r6=class{constructor(e,t,n){this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(a=>this.getInput(a)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((a,r)=>(a[r]=this.getAttr(r),a),{}))}getInput(e){return kn(e,this.tensorMap,this.context)}getAttr(e,t){let n=this.node.rawAttrs[e];if(n.tensor!=null)return kn(e,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return Qb(this.node.rawAttrs,e,t);if(n.s!=null)return Zb(this.node.rawAttrs,e,t);if(n.b!=null)return Jb(this.node.rawAttrs,e,t);if(n.shape!=null)return nx(this.node.rawAttrs,e,t);if(n.type!=null)return ex(this.node.rawAttrs,e,t);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return ax(this.node.rawAttrs,e,t);if(n.list.s!=null)return rx(this.node.rawAttrs,e,t);if(n.list.shape!=null)return sx(this.node.rawAttrs,e,t);if(n.list.b!=null)return ix(this.node.rawAttrs,e,t);if(n.list.type!=null)return tx(this.node.rawAttrs,e,t)}return t}},an={};Ae(an,{OP_SCOPE_SUFFIX:()=>$x,abs:()=>Lt,acos:()=>Ox,acosh:()=>Lx,add:()=>X,addN:()=>kS,all:()=>qm,any:()=>Yp,argMax:()=>si,argMin:()=>zx,asin:()=>Wx,asinh:()=>Bx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>ba,avgPool3d:()=>qx,basicLSTMCell:()=>NS,batchNorm:()=>Ts,batchNorm2d:()=>jx,batchNorm3d:()=>Kx,batchNorm4d:()=>Xx,batchToSpaceND:()=>Rc,bincount:()=>Yx,booleanMaskAsync:()=>dT,broadcastArgs:()=>CS,broadcastTo:()=>Zs,buffer:()=>ze,cast:()=>ie,ceil:()=>Zx,clipByValue:()=>tn,clone:()=>or,complex:()=>Fr,concat:()=>Ze,concat1d:()=>Jx,concat2d:()=>Qx,concat3d:()=>ev,concat4d:()=>tv,conv1d:()=>jm,conv2d:()=>Rt,conv2dTranspose:()=>Km,conv3d:()=>av,conv3dTranspose:()=>rv,cos:()=>Dc,cosh:()=>Xm,cosineWindow:()=>yf,cumprod:()=>Qp,cumsum:()=>Ym,denseBincount:()=>Lh,depthToSpace:()=>sv,depthwiseConv2d:()=>Ns,diag:()=>ES,dilation2d:()=>iv,div:()=>he,divNoNan:()=>ov,dot:()=>lv,dropout:()=>Wv,einsum:()=>$S,elu:()=>Pu,enclosingPowerOfTwo:()=>Bv,equal:()=>Qn,erf:()=>uv,euclideanNorm:()=>dv,exp:()=>yn,expandDims:()=>Qt,expm1:()=>hv,eye:()=>Zm,fft:()=>Uc,fill:()=>bn,floor:()=>Lu,floorDiv:()=>Hm,fused:()=>wl,gather:()=>zu,gatherND:()=>yT,greater:()=>Cn,greaterEqual:()=>Dr,ifft:()=>vl,imag:()=>Mc,image:()=>$a,inTopKAsync:()=>bT,irfft:()=>hf,isFinite:()=>mv,isInf:()=>fv,isNaN:()=>gv,leakyRelu:()=>Pc,less:()=>Jm,lessEqual:()=>Cs,linalg:()=>Gv,linspace:()=>PS,localResponseNormalization:()=>yv,log:()=>ea,log1p:()=>Oc,logSigmoid:()=>bv,logSoftmax:()=>ef,logSumExp:()=>tf,logicalAnd:()=>Ra,logicalNot:()=>Lc,logicalOr:()=>nf,logicalXor:()=>xv,losses:()=>AT,lowerBound:()=>LS,matMul:()=>Re,max:()=>ma,maxPool:()=>Dt,maxPool3d:()=>vv,maxPoolWithArgmax:()=>zS,maximum:()=>mr,mean:()=>Ct,meshgrid:()=>WS,min:()=>gl,minimum:()=>Wu,mirrorPad:()=>wv,mod:()=>kv,moments:()=>zc,movingAverage:()=>hT,mul:()=>z,multiRNNCell:()=>BS,multinomial:()=>VS,neg:()=>vt,norm:()=>Ou,notEqual:()=>ui,oneHot:()=>yl,ones:()=>Jn,onesLike:()=>ta,op:()=>L,outerProduct:()=>US,pad:()=>xa,pad1d:()=>GS,pad2d:()=>HS,pad3d:()=>qS,pad4d:()=>jS,pool:()=>Iv,pow:()=>Rr,prelu:()=>Bc,print:()=>Mx,prod:()=>Sv,raggedGather:()=>KS,raggedRange:()=>XS,raggedTensorToTensor:()=>YS,rand:()=>ZS,randomGamma:()=>tT,randomNormal:()=>rf,randomStandardNormal:()=>nT,randomUniform:()=>Bu,range:()=>pi,real:()=>bl,reciprocal:()=>Ev,relu:()=>Ke,relu6:()=>sf,reshape:()=>W,reverse:()=>ya,reverse1d:()=>aT,reverse2d:()=>rT,reverse3d:()=>sT,reverse4d:()=>iT,rfft:()=>Gc,round:()=>of,rsqrt:()=>lf,scalar:()=>xe,scatterND:()=>fT,searchSorted:()=>af,selu:()=>uf,separableConv2d:()=>_s,setdiff1dAsync:()=>oT,sigmoid:()=>ha,sign:()=>Av,signal:()=>ET,sin:()=>pf,sinh:()=>cf,slice:()=>Ve,slice1d:()=>Vc,slice2d:()=>df,slice3d:()=>xo,slice4d:()=>xl,softmax:()=>Xa,softplus:()=>bo,spaceToBatchND:()=>Wc,sparse:()=>$T,sparseToDense:()=>gT,spectral:()=>_T,split:()=>zn,sqrt:()=>cn,square:()=>ot,squaredDifference:()=>mf,squeeze:()=>Es,stack:()=>Ft,step:()=>vo,stridedSlice:()=>$v,string:()=>FT,sub:()=>pe,sum:()=>fe,tan:()=>Fv,tanh:()=>oi,tensor:()=>fn,tensor1d:()=>je,tensor2d:()=>Fa,tensor3d:()=>Hc,tensor4d:()=>Ma,tensor5d:()=>lT,tensor6d:()=>uT,tile:()=>Ln,topk:()=>Rv,transpose:()=>Ee,truncatedNormal:()=>ff,unique:()=>Dv,unsortedSegmentSum:()=>gf,unstack:()=>ut,upperBound:()=>pT,variable:()=>Mv,where:()=>gn,whereAsync:()=>Pv,zeros:()=>It,zerosLike:()=>qe});var s6=(e,t,n,a=an)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[a.add(k("a",e,t,n),k("b",e,t,n))];case"AddN":return[a.addN(k("tensors",e,t,n))];case"FloorMod":case"Mod":return[a.mod(k("a",e,t,n),k("b",e,t,n))];case"Mul":return[a.mul(k("a",e,t,n),k("b",e,t,n))];case"RealDiv":case"Div":return[a.div(k("a",e,t,n),k("b",e,t,n))];case"DivNoNan":return[a.divNoNan(k("a",e,t,n),k("b",e,t,n))];case"FloorDiv":return[a.floorDiv(k("a",e,t,n),k("b",e,t,n))];case"Sub":return[a.sub(k("a",e,t,n),k("b",e,t,n))];case"Minimum":return[a.minimum(k("a",e,t,n),k("b",e,t,n))];case"Maximum":return[a.maximum(k("a",e,t,n),k("b",e,t,n))];case"Pow":return[a.pow(k("a",e,t,n),k("b",e,t,n))];case"SquaredDifference":return[a.squaredDifference(k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},i6=(e,t,n,a=an)=>{switch(e.op){case"Abs":case"ComplexAbs":return[a.abs(k("x",e,t,n))];case"Acos":return[a.acos(k("x",e,t,n))];case"Acosh":return[a.acosh(k("x",e,t,n))];case"Asin":return[a.asin(k("x",e,t,n))];case"Asinh":return[a.asinh(k("x",e,t,n))];case"Atan":return[a.atan(k("x",e,t,n))];case"Atan2":return[a.atan2(k("x",e,t,n),k("y",e,t,n))];case"Atanh":return[a.atanh(k("x",e,t,n))];case"Ceil":return[a.ceil(k("x",e,t,n))];case"Complex":return[a.complex(k("real",e,t,n),k("imag",e,t,n))];case"Cos":return[a.cos(k("x",e,t,n))];case"Cosh":return[a.cosh(k("x",e,t,n))];case"Elu":return[a.elu(k("x",e,t,n))];case"Erf":return[a.erf(k("x",e,t,n))];case"Exp":return[a.exp(k("x",e,t,n))];case"Expm1":return[a.expm1(k("x",e,t,n))];case"Floor":return[a.floor(k("x",e,t,n))];case"Log":return[a.log(k("x",e,t,n))];case"Log1p":return[a.log1p(k("x",e,t,n))];case"Imag":return[a.imag(k("x",e,t,n))];case"Neg":return[a.neg(k("x",e,t,n))];case"Reciprocal":return[a.reciprocal(k("x",e,t,n))];case"Real":return[a.real(k("x",e,t,n))];case"Relu":return[a.relu(k("x",e,t,n))];case"Round":return[a.round(k("x",e,t,n))];case"Selu":return[a.selu(k("x",e,t,n))];case"Sigmoid":return[a.sigmoid(k("x",e,t,n))];case"Sin":return[a.sin(k("x",e,t,n))];case"Sign":return[a.sign(k("x",e,t,n))];case"Sinh":return[a.sinh(k("x",e,t,n))];case"Softplus":return[a.softplus(k("x",e,t,n))];case"Sqrt":return[a.sqrt(k("x",e,t,n))];case"Square":return[a.square(k("x",e,t,n))];case"Tanh":return[a.tanh(k("x",e,t,n))];case"Tan":return[a.tan(k("x",e,t,n))];case"ClipByValue":return[a.clipByValue(k("x",e,t,n),k("clipValueMin",e,t,n),k("clipValueMax",e,t,n))];case"Relu6":return[a.relu6(k("x",e,t,n))];case"Rsqrt":return[a.rsqrt(kn(e.inputNames[0],t,n))];case"Prod":return[a.prod(k("x",e,t,n),k("axes",e,t,n))];case"LeakyRelu":return[a.leakyRelu(k("x",e,t,n),k("alpha",e,t,n))];case"Prelu":return[a.prelu(k("x",e,t,n),k("alpha",e,t,n))];case"IsNan":return[a.isNaN(kn(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Aa(e,t,n=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>n+` Shapes ${e} and ${t} must match`);for(let a=0;an+` Shapes ${e} and ${t} must match`)}}}function Xk(e){return!(typeof e=="number"||e.some(t=>t<0))}function Ep(e,t,n){let a=ox(e,n),r=!Xk(a);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${a}`);if(r&&t.forEach(s=>{a=ox(s.shape,a)}),!Xk(a))throw new Error(`Non-fully-defined elementShape: ${a}`);return a}function ox(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let n=[];for(let a=0;a=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);n[a]=r>=0?r:s}return n}var o6=class{constructor(e,t,n,a,r,s,i){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=a,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=xe(0),Gt(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Aa(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Gt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ut(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Aa(t,r.shape,"TensorList shape mismatch: "),Gt(r)}),this.idTensor=xe(0),this.maxNumElements=a,Gt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Nl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Aa(e,this.elementShape,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ep(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Aa(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Aa(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Gt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Nl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Aa(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Aa(this.elementShape,t.shape,"TensorList shape mismatch: "),Gt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Aa(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ep(this.elementShape,this.tensors,n);return e.length===0?fn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Aa(this.elementShape,t,"TensorList shape mismatch: ");let n=Ep(this.elementShape,this.tensors,t);return this.size()===0?fn([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function l6(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Aa(r,t,"TensorList shape mismatch: ");let s=ut(e);return new Nl(s,t,a)}function u6(e,t,n,a){return new Nl([],e,t,a)}function p6(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new Nl([],n,e.dtype,a),i=ut(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function c6(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Aa(t,r.shape,"TensorList shape mismatch: "),Gt(r)}),this.idTensor=xe(0),this.maxNumElements=a,Gt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Nl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Aa(e,this.elementShape,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return Ft(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Ep(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Aa(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Aa(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Gt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Nl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Aa(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Ep(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Aa(this.elementShape,t.shape,"TensorList shape mismatch: "),Gt(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Aa(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Ep(this.elementShape,this.tensors,n);return e.length===0?fn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return Ft(r,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Aa(this.elementShape,t,"TensorList shape mismatch: ");let n=Ep(this.elementShape,this.tensors,t);return this.size()===0?fn([],[0].concat(n)):P(()=>{let a=this.tensors.map(r=>W(r,n));return Ze(a,0)})}};function l6(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);Aa(r,t,"TensorList shape mismatch: ");let s=ut(e);return new Nl(s,t,a)}function u6(e,t,n,a){return new Nl([],e,t,a)}function p6(e,t,n,a){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(a!=null&&a!==-1&&r>=a)throw new Error(`Max index must be < array size (${r} vs. ${a})`);let s=new Nl([],n,e.dtype,a),i=ut(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function c6(e,t,n){let a=0,r=t.map(p=>(a+=p,a));if(a!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=ox(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[_r(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=_r(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>kn(r,t,n)!==void 0);if(a){let r=kn(a,t,n);return[_r(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[_r(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[_r(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[_r(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new o6(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=p6(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=u6(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=l6(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=c6(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[xe(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Yk(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=vh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var h6=(e,t,n,a=an)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Yk(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Yk(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=vh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},m6=(e,t,n,a=an)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function kb(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var f6=async(e,t,n,a,r=an)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=kb(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=kb(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=kb(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},g6=(e,t,n,a=an)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},y6=(e,t,n,a=an)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[kn(e.name,t,n)||r];case"Placeholder":return[kn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[_r(p)]}case"IdentityN":return k("x",e,t,n).map(p=>_r(p));case"Snapshot":let s=k("x",e,t,n);return[_r(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return xe(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ut(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new b6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},v6=(e,t,n,a=an)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},w6=(e,t,n,a=an)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},k6=(e,t,n,a=an)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},I6=(e,t,n,a=an)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},S6=(e,t,n,a=an)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=a.raggedGather(k("paramsNestedSplits",e,t,n),k("paramsDenseValues",e,t,n),k("indices",e,t,n),k("outputRaggedRank",e,t,n));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=a.raggedRange(k("starts",e,t,n),k("limits",e,t,n),k("splits",e,t,n));return[r,s]}case"RaggedTensorToTensor":return[a.raggedTensorToTensor(k("shape",e,t,n),k("values",e,t,n),k("defaultValue",e,t,n),k("rowPartitionTensors",e,t,n),k("rowPartitionTypes",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},T6=(e,t,n,a=an)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},N6=(e,t,n,a=an)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},C6=(e,t,n,a=an)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},_6=(e,t,n,a=an)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},E6=(e,t,n,a=an)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},A6=(e,t,n,a=an)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Zk(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>s6(i,o,l));case"basic_math":return r(()=>i6(i,o,l));case"control":return d6(i,o,l);case"convolution":return r(()=>h6(i,o,l));case"creation":return r(()=>m6(i,o,l));case"dynamic":return f6(i,o,l);case"evaluation":return r(()=>g6(i,o,l));case"image":return r(()=>v6(i,o,l));case"graph":return r(()=>y6(i,o,l));case"logical":return r(()=>w6(i,o,l));case"matrices":return r(()=>k6(i,o,l));case"normalization":return r(()=>I6(i,o,l));case"ragged":return r(()=>S6(i,o,l));case"reduction":return r(()=>T6(i,o,l));case"slice_join":return r(()=>N6(i,o,l));case"sparse":return r(()=>C6(i,o,l));case"spectral":return r(()=>_6(i,o,l));case"string":return r(()=>E6(i,o,l));case"transformation":return r(()=>A6(i,o,l));case"hash_table":return x6(i,o,l,a);case"custom":let u=v2(i.op);if(u&&u.customExecutor)return u.customExecutor(new r6(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Jk=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Qk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Yn(c)[0]),p=[];a!=null&&(p=a.map(c=>Yn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((V2(c)||M6(c)||P6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function $6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Yn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var F6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],R6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],D6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function V2(e){return F6.indexOf(e.op)>=0}function M6(e){return R6.indexOf(e.op)>=0}function P6(e){return D6.indexOf(e.op)>=0}var lx=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new lx(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Qk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return $6(this.graph,this.weightMap,n)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Gt(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,n])=>[t,this.cloneTensorList(n)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Yn(p)[0]]),r=t.map(p=>Yn(p)[0]),s=r.map(p=>this.graph.nodes[p]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},u={};return P(()=>{let p=new Jk(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(m=>{let[f,g]=Yn(m),y=[];y[g]=e[m],d[f]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[f]=this.cloneTensorList(y))});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mkn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=OH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){!this.clonedTensorsMap||(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,n=!1,a={},r={}){this.disposeIntermediateTensors(),n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}let s=new Jk(this.weightMap,a,r,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,n),o=t.map(d=>kn(d,i,s)),l=o.map(d=>d.id),u=Object.keys(e).map(d=>e[d].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(d=>{d.forEach(c=>{c&&!c.isDisposed&&!p.has(c.id)&&c.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(b=>this.graph.nodes[Yn(b)[0]]),i=n.map(b=>Yn(b)[0]),o=i.map(b=>this.graph.nodes[b]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Qk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(b=>({node:b,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(b=>{let[x,w]=Yn(b),I=[];I[w]=e[b],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let b=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(b)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(b=>!V2(b)&&!kn(b.name,h,t)).map(b=>b.name);if(y.length>0){let b="";throw p!=null&&(b=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${b}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=Cr(p.node.name,n)),a[p.node.name]==null){let c=Zk(p.node,a,n,this._resourceManager);d||([d]=Cr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(m)),n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(c)),this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=Cr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!kn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!kn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Yn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){var t,n;let a={};for(let r in e){let s=(n=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||n===void 0?void 0:n[r];s!=null?a[s.name]=e[r]:a[r]=e[r]}return a}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Yn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var n,a;let r=(a=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||a===void 0?void 0:a[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[n]=Yn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},O6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},L6="?tfjs-format=file",z6="model.json",F0=class{constructor(e,t={},n=Ht){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new O6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new lx(jk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=jk.Instance.transformGraph(e.modelInitializer);this.initializer=new lx(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof Ne?[e]:e,n={};return t.forEach((a,r)=>n[this.structuredOutputKeys[r]]=a),n}return e}predict(e,t){let n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(e,t){let n=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(e){var t;if(!(e instanceof Ne)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let n=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${e.length} input tensors provided.`);let a=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[a++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,n=Object.keys(t);for(let a=0;a1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function W6(e,t={},n=Ht){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=V6(e));let a=new F0(e,t,n);return await a.load(),a}function B6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ht.getWeightSpecs(a.weightsManifest),i=Ht.getModelArtifactsForJSONSync(a,s,r);t=Ht.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ht.fromMemorySync(e);else throw new Error("Unknown model format");let n=new F0(t);return n.load(),n}function V6(e){return e.endsWith("/")||(e=e+"/"),`${e}${z6}${L6}`}var U6="4.2.0",U2={};Ae(U2,{CSVDataset:()=>J2,Dataset:()=>Hu,FileDataSource:()=>sC,TextLineDataset:()=>Z2,URLDataSource:()=>iC,array:()=>dq,csv:()=>Iq,func:()=>Sq,generator:()=>Tq,microphone:()=>Cq,version_data:()=>_q,webcam:()=>Nq,zip:()=>hq});var G6=bs(sm()),H6=bs(sm());function q6(e,t){return Xh(e,t)}function Xh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(Cl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Xh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function j6(e,t=H2){return G2(e,t)}function G2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(Cl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=G2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function H2(e){return e===null?null:Cl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function q2(e,t){let n=new Map;Xh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Xh(e,t,n)}function Cl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=LI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Ne)&&!(e instanceof Promise)&&!t)}function K6(e){return e==null||X6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Ne||v.isTypedArray(e)}function X6(e){return e===null||typeof e!="object"&&typeof e!="function"}function Y6(e){return q6(e,Z6)}function Z6(e){return e instanceof Ne?{value:e.clone(),recurse:!1}:Cl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var j2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},R0=class extends j2{constructor(){super(R0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new sq(this,e,t)}columnMajorBatch(e,t=!0,n=H2){return this.rowMajorBatch(e,t).map(a=>j6(a,n))}concatenate(e,t){return new X2(K2([this,e]),t)}take(e){return e<0||e==null?this:new rq(this,e)}skip(e){return e<0||e==null?this:new aq(this,e)}prefetch(e){return new Y2(this,e)}shuffle(e,t){return new cq(this,e,t)}serial(){return new nq(this)}},eq=class extends nn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:Y6(e),done:!1}}},tq=class extends nn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},nq=class extends nn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},aq=class extends nn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},sq=class extends nn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},iq=class extends nn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},oq=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},lq=class extends nn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},eI=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},M0=class extends nn{constructor(){super(),this.outputQueue=new R0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},uq=class extends M0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return!0}},X2=class extends nn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},as;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(as||(as={}));var pq=class extends nn{constructor(e,t=as.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof nn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await q2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case as.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case as.SHORTEST:return{value:null,done:!0};case as.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},Y2=class extends nn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new j2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},cq=class extends Y2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=H6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Hu=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is + ${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=ox(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[_r(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=_r(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>kn(r,t,n)!==void 0);if(a){let r=kn(a,t,n);return[_r(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[_r(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[_r(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[_r(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new o6(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=p6(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=u6(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}case"TensorListStack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=k("numElements",e,t,n);return[n.getTensorList(a.id).stack(r,s,i)]}case"TensorListFromTensor":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n),i=l6(a,r,s);return n.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id),s=k("dtype",e,t,n),i=k("elementShape",e,t,n);return[r.concat(s,i)]}case"TensorListPushBack":{let a=k("tensorListId",e,t,n),r=k("tensor",e,t,n),s=n.getTensorList(a.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let a=k("tensorListId",e,t,n),r=k("elementShape",e,t,n),s=k("elementDType",e,t,n);return[n.getTensorList(a.id).popBack(r,s)]}case"TensorListSplit":{let a=k("tensor",e,t,n),r=k("elementShape",e,t,n),s=k("lengths",e,t,n),i=c6(a,s,r);return n.addTensorList(i),[i.idTensor]}case"TensorListLength":{let a=k("tensorListId",e,t,n),r=n.getTensorList(a.id);return[xe(r.size(),"int32")]}case"TensorListResize":{let a=k("tensorListId",e,t,n),r=k("size",e,t,n),s=n.getTensorList(a.id).resize(r);return n.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Yk(e,t,n){let[a,r]=k("fusedOps",e,t,n),s=a==="biasadd",i=!s,o=r==="prelu",l=a==="fusedbatchnorm",u=k("numArgs",e,t,n);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,n),d=vh(e,t,n),c=k("dataFormat",e,t,n).toUpperCase(),h=k("dilations",e,t,n),[m,f]=k("args",e,t,n);i&&(f=m,m=void 0);let g=k("leakyreluAlpha",e,t,n);return{stride:p,pad:d,dataFormat:c,dilations:h,biasArg:m,preluArg:f,activationFunc:r,leakyreluAlpha:g}}var h6=(e,t,n,a=an)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilation",e,t,n);return[a.conv1d(k("x",e,t,n),k("filter",e,t,n),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv2d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Yk(e,t,n);return[a.fused.conv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:d}=Yk(e,t,n);return[a.fused.depthwiseConv2d({x:k("x",e,t,n),filter:k("filter",e,t,n),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:d})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,n),s=k("strides",e,t,n),i=vh(e,t,n);return[a.conv2dTranspose(k("x",e,t,n),k("filter",e,t,n),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,n),s=vh(e,t,n),i=k("dilations",e,t,n),o=k("dataFormat",e,t,n).toUpperCase();return[a.depthwiseConv2d(k("input",e,t,n),k("filter",e,t,n),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dataFormat",e,t,n).toUpperCase(),o=k("dilations",e,t,n);return[a.conv3d(k("x",e,t,n),k("filter",e,t,n),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n),o=k("includeBatchInIndex",e,t,n),{result:l,indexes:u}=a.maxPoolWithArgmax(k("x",e,t,n),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.avgPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("kernelSize",e,t,n);return[a.maxPool3d(k("x",e,t,n),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,n),s=k("pad",e,t,n),i=k("dilations",e,t,n),o=r[1],l=r[2],u=i[1],p=i[2];return[a.dilation2d(k("x",e,t,n),k("filter",e,t,n),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},m6=(e,t,n,a=an)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,n),s=k("dtype",e,t,n),i=k("value",e,t,n);return[a.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("num",e,t,n);return[a.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,n),s=k("numSamples",e,t,n),i=k("seed",e,t,n);return[a.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,n),s=k("depth",e,t,n),i=k("onValue",e,t,n),o=k("offValue",e,t,n),l=k("dtype",e,t,n);return[a.oneHot(r,s,i,o,l)]}case"Ones":return[a.ones(k("shape",e,t,n),k("dtype",e,t,n))];case"OnesLike":return[a.onesLike(k("x",e,t,n))];case"RandomStandardNormal":return[a.randomStandardNormal(k("shape",e,t,n),k("dtype",e,t,n),k("seed",e,t,n))];case"RandomUniform":return[a.randomUniform(k("shape",e,t,n),k("minval",e,t,n),k("maxval",e,t,n),k("dtype",e,t,n))];case"Range":{let r=k("start",e,t,n),s=k("stop",e,t,n),i=k("step",e,t,n);return[a.range(r,s,i,k("dtype",e,t,n))]}case"TruncatedNormal":{let r=k("shape",e,t,n),s=k("mean",e,t,n),i=k("stdDev",e,t,n),o=k("seed",e,t,n);return[a.truncatedNormal(r,s,i,k("dtype",e,t,n),o)]}case"Zeros":return[a.zeros(k("shape",e,t,n),k("dtype",e,t,n))];case"ZerosLike":return[a.zerosLike(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function kb(e,t,n){let a=k("boxes",e,t,n),r=k("scores",e,t,n),s=k("maxOutputSize",e,t,n),i=k("iouThreshold",e,t,n),o=k("scoreThreshold",e,t,n),l=k("softNmsSigma",e,t,n);return{boxes:a,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var f6=async(e,t,n,a,r=an)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=kb(e,t,n),d=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[d.selectedIndices,d.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=kb(e,t,n),p=k("padToMaxOutputSize",e,t,n),d=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[d.selectedIndices,d.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=kb(e,t,n);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,n),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,n),k("y",e,t,n));default:throw TypeError(`Node type ${e.op} is not implemented`)}},g6=(e,t,n,a=an)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,n),s=k("k",e,t,n),i=k("sorted",e,t,n),o=a.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,n),s=k("values",e,t,n);return[a.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,n),s=a.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,n),s=k("axis",e,t,n),i=a.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},y6=(e,t,n,a=an)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,n);return[kn(e.name,t,n)||r];case"Placeholder":return[kn(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,n);return[_r(p)]}case"IdentityN":return k("x",e,t,n).map(p=>_r(p));case"Snapshot":let s=k("x",e,t,n);return[_r(s)];case"Shape":return[a.tensor1d(k("x",e,t,n).shape,"int32")];case"ShapeN":return k("x",e,t,n).map(p=>a.tensor1d(p.shape));case"Size":return[a.scalar(k("x",e,t,n).size,"int32")];case"Rank":return[a.scalar(k("x",e,t,n).rank,"int32")];case"NoOp":return[a.scalar(1)];case"Print":let i=k("x",e,t,n),o=k("data",e,t,n),l=k("message",e,t,n),u=k("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return xe(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let n=await e.data();return this.tensorMap.forEach(a=>a.dispose()),this.tensorMap.clear(),P(()=>{let a=ut(t),r=n.length,s=a.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let a=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=a.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,n),i=k("valueDType",e,t,n),o=new b6(s,i);return a.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("values",e,t,n);return[await a.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,n,a),s=k("keys",e,t,n),i=k("defaultValue",e,t,n);return[await a.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,n,a);return[a.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},v6=(e,t,n,a=an)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,n),s=k("size",e,t,n),i=k("alignCorners",e,t,n),o=k("halfPixelCenters",e,t,n);return[a.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,n),s=k("boxes",e,t,n),i=k("boxInd",e,t,n),o=k("cropSize",e,t,n),l=k("method",e,t,n),u=k("extrapolationValue",e,t,n);return[a.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,n),s=k("transforms",e,t,n),i=k("outputShape",e,t,n),o=k("fillValue",e,t,n),l=k("interpolation",e,t,n),u=k("fillMode",e,t,n);return[a.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},w6=(e,t,n,a=an)=>{switch(e.op){case"Equal":return[a.equal(k("a",e,t,n),k("b",e,t,n))];case"NotEqual":return[a.notEqual(k("a",e,t,n),k("b",e,t,n))];case"Greater":return[a.greater(k("a",e,t,n),k("b",e,t,n))];case"GreaterEqual":return[a.greaterEqual(k("a",e,t,n),k("b",e,t,n))];case"Less":return[a.less(k("a",e,t,n),k("b",e,t,n))];case"LessEqual":return[a.lessEqual(k("a",e,t,n),k("b",e,t,n))];case"LogicalAnd":return[a.logicalAnd(k("a",e,t,n),k("b",e,t,n))];case"LogicalNot":return[a.logicalNot(k("a",e,t,n))];case"LogicalOr":return[a.logicalOr(k("a",e,t,n),k("b",e,t,n))];case"Select":case"SelectV2":return[a.where(k("condition",e,t,n),k("a",e,t,n),k("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},k6=(e,t,n,a=an)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[a.matMul(k("a",e,t,n),k("b",e,t,n),k("transposeA",e,t,n),k("transposeB",e,t,n))];case"Einsum":return[a.einsum(k("equation",e,t,n),...k("tensors",e,t,n))];case"Transpose":return[a.transpose(k("x",e,t,n),k("perm",e,t,n))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,n),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,n),u=k("leakyreluAlpha",e,t,n);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,d]=k("args",e,t,n);return[a.fused.matMul({a:k("a",e,t,n),b:k("b",e,t,n),transposeA:k("transposeA",e,t,n),transposeB:k("transposeB",e,t,n),bias:p,activation:s,preluActivationWeights:d,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},I6=(e,t,n,a=an)=>{switch(e.op){case"EuclideanNorm":return[a.euclideanNorm(k("x",e,t,n),k("axis",e,t,n),k("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"FusedBatchNormV3":return[a.batchNorm(k("x",e,t,n),k("mean",e,t,n),k("variance",e,t,n),k("offset",e,t,n),k("scale",e,t,n),k("epsilon",e,t,n))];case"LRN":return[a.localResponseNormalization(k("x",e,t,n),k("radius",e,t,n),k("bias",e,t,n),k("alpha",e,t,n),k("beta",e,t,n))];case"Softmax":return[a.softmax(k("x",e,t,n))];case"LogSoftmax":return[a.logSoftmax(k("x",e,t,n))];case"SparseToDense":return[a.sparseToDense(k("sparseIndices",e,t,n),k("outputShape",e,t,n),k("sparseValues",e,t,n),k("defaultValue",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},S6=(e,t,n,a=an)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=a.raggedGather(k("paramsNestedSplits",e,t,n),k("paramsDenseValues",e,t,n),k("indices",e,t,n),k("outputRaggedRank",e,t,n));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=a.raggedRange(k("starts",e,t,n),k("limits",e,t,n),k("splits",e,t,n));return[r,s]}case"RaggedTensorToTensor":return[a.raggedTensorToTensor(k("shape",e,t,n),k("values",e,t,n),k("defaultValue",e,t,n),k("rowPartitionTensors",e,t,n),k("rowPartitionTypes",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},T6=(e,t,n,a=an)=>{switch(e.op){case"Max":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.max(k("x",e,t,n),o,l)]}case"Mean":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.mean(k("x",e,t,n),o,l)]}case"Min":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.min(k("x",e,t,n),o,l)]}case"Sum":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.sum(k("x",e,t,n),o,l)]}case"All":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.all(k("x",e,t,n),o,l)]}case"Any":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.any(k("x",e,t,n),o,l)]}case"ArgMax":{let o=k("axis",e,t,n);return[a.argMax(k("x",e,t,n),o)]}case"ArgMin":{let o=k("axis",e,t,n);return[a.argMin(k("x",e,t,n),o)]}case"Prod":{let o=k("axis",e,t,n),l=k("keepDims",e,t,n);return[a.prod(k("x",e,t,n),o,l)]}case"Cumprod":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumprod(k("x",e,t,n),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,n),l=k("exclusive",e,t,n),u=k("reverse",e,t,n);return[a.cumsum(k("x",e,t,n),o,l,u)]}case"Bincount":let r=k("x",e,t,n),s=k("weights",e,t,n),i=k("size",e,t,n);return[a.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,n),l=k("weights",e,t,n),u=k("size",e,t,n),p=k("binaryOutput",e,t,n);return[a.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},N6=(e,t,n,a=an)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,n),s=k("axis",e,t,n),i=k("tensors",e,t,n);return i=i.slice(0,r),[a.concat(i,s)]}case"Gather":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gather(r,a.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,n),s=k("batchDims",e,t,n),i=k("x",e,t,n),o=k("indices",e,t,n);return[a.gather(i,a.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,n),s=[];for(let o=0;o{let r=k("axis",e,t,n),s=k("tensors",e,t,n),i=s[0].shape,o=a.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(a.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:a.reshape(u,i)});return[a.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,n),s=k("tensor",e,t,n);return a.unstack(s,r)}case"Tile":{let r=k("reps",e,t,n);return[a.tile(k("x",e,t,n),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,n),s=k("numOrSizeSplits",e,t,n),i=k("x",e,t,n);return a.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,n),s=k("values",e,t,n),i=k("shape",e,t,n);return[a.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,n),s=k("indices",e,t,n);return[a.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,n),s=k("outputShape",e,t,n),i=k("sparseValues",e,t,n),o=k("defaultValue",e,t,n);return[a.sparseToDense(r,i,s,i.dtype===o.dtype?o:a.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},C6=(e,t,n,a=an)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=a.sparse.sparseFillEmptyRows(k("indices",e,t,n),k("values",e,t,n),k("denseShape",e,t,n),k("defaultValue",e,t,n));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=a.sparse.sparseReshape(k("inputIndices",e,t,n),k("inputShape",e,t,n),k("newShape",e,t,n));return[r,s]}case"SparseSegmentMean":return[a.sparse.sparseSegmentMean(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];case"SparseSegmentSum":return[a.sparse.sparseSegmentSum(k("data",e,t,n),k("indices",e,t,n),k("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},_6=(e,t,n,a=an)=>{switch(e.op){case"FFT":return[a.fft(k("x",e,t,n))];case"IFFT":return[a.ifft(k("x",e,t,n))];case"RFFT":return[a.rfft(k("x",e,t,n))];case"IRFFT":return[a.irfft(k("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},E6=(e,t,n,a=an)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=a.string.stringNGrams(k("data",e,t,n),k("dataSplits",e,t,n),k("separator",e,t,n),k("nGramWidths",e,t,n),k("leftPad",e,t,n),k("rightPad",e,t,n),k("padWidth",e,t,n),k("preserveShortSequences",e,t,n));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=a.string.stringSplit(k("input",e,t,n),k("delimiter",e,t,n),k("skipEmpty",e,t,n));return[r,s,i]}case"StringToHashBucketFast":return[a.string.stringToHashBucketFast(k("input",e,t,n),k("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},A6=(e,t,n,a=an)=>{switch(e.op){case"Cast":return[a.cast(k("x",e,t,n),k("dtype",e,t,n))];case"ExpandDims":{let r=k("axis",e,t,n);return[a.expandDims(k("x",e,t,n),r)]}case"Squeeze":{let r=k("axis",e,t,n);return[a.squeeze(k("x",e,t,n),r)]}case"Reshape":return[a.reshape(k("x",e,t,n),k("shape",e,t,n))];case"MirrorPad":return[a.mirrorPad(k("x",e,t,n),k("padding",e,t,n),k("mode",e,t,n))];case"PadV2":case"Pad":return[a.pad(k("x",e,t,n),k("padding",e,t,n),k("constantValue",e,t,n))];case"SpaceToBatchND":{let r=k("blockShape",e,t,n),s=k("paddings",e,t,n);return[a.spaceToBatchND(k("x",e,t,n),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,n),s=k("crops",e,t,n);return[a.batchToSpaceND(k("x",e,t,n),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,n),s=k("dataFormat",e,t,n).toUpperCase();return[a.depthToSpace(k("x",e,t,n),r,s)]}case"BroadcastTo":return[a.broadcastTo(k("x",e,t,n),k("shape",e,t,n))];case"BroadcastArgs":return[a.broadcastArgs(k("s0",e,t,n),k("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Zk(e,t,n,a,r=P){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>s6(i,o,l));case"basic_math":return r(()=>i6(i,o,l));case"control":return d6(i,o,l);case"convolution":return r(()=>h6(i,o,l));case"creation":return r(()=>m6(i,o,l));case"dynamic":return f6(i,o,l);case"evaluation":return r(()=>g6(i,o,l));case"image":return r(()=>v6(i,o,l));case"graph":return r(()=>y6(i,o,l));case"logical":return r(()=>w6(i,o,l));case"matrices":return r(()=>k6(i,o,l));case"normalization":return r(()=>I6(i,o,l));case"ragged":return r(()=>S6(i,o,l));case"reduction":return r(()=>T6(i,o,l));case"slice_join":return r(()=>N6(i,o,l));case"sparse":return r(()=>C6(i,o,l));case"spectral":return r(()=>_6(i,o,l));case"string":return r(()=>E6(i,o,l));case"transformation":return r(()=>A6(i,o,l));case"hash_table":return x6(i,o,l,a);case"custom":let u=v2(i.op);if(u&&u.customExecutor)return u.customExecutor(new r6(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Jk=class{constructor(e={},t={},n={},a={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Qk(e,t,n,a){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(c=>Yn(c)[0]),p=[];a!=null&&(p=a.map(c=>Yn(c.name)[0]));let d=[...t];for(;d.length>0;){let c=d.pop();if((V2(c)||M6(c)||P6(c))&&i==null&&(i=c,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(c.name),n[c.name]==null&&u.indexOf(c.name)===-1&&p.indexOf(c.name)===-1){if(c.inputs.length===0){s.push(c.name);continue}c.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),d.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function $6(e,t,n){let{usedNodes:a,inputs:r}=n,s=[],i=Object.keys(r).map(p=>Yn(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{a.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{a.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{a.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(d=>{!l.has(d.name)&&a.has(d.name)&&d.inputs.every(c=>l.has(c.name))&&s.push(d)})}return u}var F6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],R6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],D6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function V2(e){return F6.indexOf(e.op)>=0}function M6(e){return R6.indexOf(e.op)>=0}function P6(e){return D6.indexOf(e.op)>=0}var lx=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new lx(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(a=>a.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(r=>r.name).sort(),a=t.map(r=>r.name).sort();return n.join(this.SEPERATOR)+"--"+a.join(this.SEPERATOR)}compile(e,t){let n=Qk(e,t,this.weightMap,this._initNodes),{missingInputs:a,dynamicNode:r,syncInputs:s}=n;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(a.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${a}]`)}return $6(this.graph,this.weightMap,n)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Gt(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,n])=>[t,this.cloneTensorList(n)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let a=n.map(p=>this.graph.nodes[Yn(p)[0]]),r=t.map(p=>Yn(p)[0]),s=r.map(p=>this.graph.nodes[p]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(a,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},u={};return P(()=>{let p=new Jk(this.weightMap,l,u,this.functionExecutorMap),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(m=>{let[f,g]=Yn(m),y=[];y[g]=e[m],d[f]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[f]=this.cloneTensorList(y))});let c=this.getFrozenTensorIds(d),h={};for(let m=0;mkn(m,d,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(a=>a.id)));return new Set(t)}checkTensorForDisposal(e,t,n,a,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=OH(o.name,n,a);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,n=!1,a={},r={}){this.disposeIntermediateTensors(),n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=H().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}let s=new Jk(this.weightMap,a,r,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,n),o=t.map(d=>kn(d,i,s)),l=o.map(d=>d.id),u=Object.keys(e).map(d=>e[d].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(d=>{d.forEach(c=>{c&&!c.isDisposed&&!p.has(c.id)&&c.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,n){let a=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(a,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,a){let r=Object.keys(e),s=r.map(b=>this.graph.nodes[Yn(b)[0]]),i=n.map(b=>Yn(b)[0]),o=i.map(b=>this.graph.nodes[b]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:d}=Qk(e,o,this.weightMap,this._initNodes),c=[...s,...this.graph.weights,...this._initNodes||[]].map(b=>({node:b,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(b=>{let[x,w]=Yn(b),I=[];I[w]=e[b],h[x]=I});let m={},f=this.getFrozenTensorIds(h),g={};for(;c.length>0;){let b=this.processStack(s,c,t,h,g,f,i,m,l);await Promise.all(b)}p==null&&!a&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(b=>!V2(b)&&!kn(b.name,h,t)).map(b=>b.name);if(y.length>0){let b="";throw p!=null&&(b=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${b}`)}return h}processStack(e,t,n,a,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();n.currentContext=p.contexts;let d="";if(p.node.op==="Enter"&&k("isConstant",p.node,a,n)&&([d]=Cr(p.node.name,n)),a[p.node.name]==null){let c=Zk(p.node,a,n,this._resourceManager);d||([d]=Cr(p.node.name,n));let h=n.currentContext;v.isPromise(c)?u.push(c.then(m=>(a[d]=m,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(m)),n.currentContext=h,this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l),m))):(a[d]=c,this.keepIntermediateTensors&&(this.clonedTensorsMap[d]=this.cloneTensorList(c)),this.checkTensorForDisposal(d,p.node,a,n,s,i,o),this.processChildNodes(p.node,t,n,a,r,l))}else this.processChildNodes(p.node,t,n,a,r,l)}return u}processChildNodes(e,t,n,a,r,s){e.children.forEach(i=>{let[o]=Cr(i.name,n);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!kn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!kn(l,a,n))&&(r[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[a]=Yn(t),r=this.graph.nodes[a];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(n.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){var t,n;let a={};for(let r in e){let s=(n=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||n===void 0?void 0:n[r];s!=null?a[s.name]=e[r]:a[r]=e[r]}return a}checkInputs(e){let t=Object.keys(e).filter(n=>{let[a]=Yn(n);return this.graph.nodes[a]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var n,a;let r=(a=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||a===void 0?void 0:a[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[n]=Yn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},O6=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},L6="?tfjs-format=file",z6="model.json",F0=class{constructor(e,t={},n=Ht){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,t==null&&(this.loadOptions={}),this.resourceManager=new O6}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(n=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new lx(jk.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=jk.Instance.transformGraph(e.modelInitializer);this.initializer=new lx(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let n=this.io.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof Ne?[e]:e,n={};return t.forEach((a,r)=>n[this.structuredOutputKeys[r]]=a),n}return e}predict(e,t){let n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(e,t){let n=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(e){var t;if(!(e instanceof Ne)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let n=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${e.length} input tensors provided.`);let a=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[a++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,n=Object.keys(t);for(let a=0;a1?n:n[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&_e(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function W6(e,t={},n=Ht){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=V6(e));let a=new F0(e,t,n);return await a.load(),a}function B6(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[a,r]=e;if(!a)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in a))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in a))throw new Error("Model JSON is missing 'weightsManifest'");let s=Ht.getWeightSpecs(a.weightsManifest),i=Ht.getModelArtifactsForJSONSync(a,s,r);t=Ht.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Ht.fromMemorySync(e);else throw new Error("Unknown model format");let n=new F0(t);return n.load(),n}function V6(e){return e.endsWith("/")||(e=e+"/"),`${e}${z6}${L6}`}var U6="4.2.0",U2={};Ae(U2,{CSVDataset:()=>J2,Dataset:()=>Hu,FileDataSource:()=>sC,TextLineDataset:()=>Z2,URLDataSource:()=>iC,array:()=>dq,csv:()=>Iq,func:()=>Sq,generator:()=>Tq,microphone:()=>Cq,version_data:()=>_q,webcam:()=>Nq,zip:()=>hq});var G6=bs(sm()),H6=bs(sm());function q6(e,t){return Xh(e,t)}function Xh(e,t,n=new Map,a=new Set){if(e==null)return null;if(typeof Blob=="function"&&e instanceof Blob)return e.slice();if(a.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(Cl(e)){let s=Array.isArray(e)?[]:{};a.add(e);for(let i in e){let o=e[i],l=Xh(o,t,n,a);s[i]=l}return a.delete(e),e.__proto__&&(s.__proto__=e.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,r.value),r.value}function j6(e,t=H2){return G2(e,t)}function G2(e,t,n=new Set){let a=e[0];if(n.has(a))throw new Error("Circular references are not supported.");let r=t(e);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(Cl(a)){let s=Array.isArray(a)?[]:{};n.add(a);for(let i in a){let o=e.map(u=>u[i]),l=G2(o,t,n);s[i]=l}return n.delete(a),s}else throw new Error(`Can't recurse into non-iterable type: ${a}`);else return r.value}function H2(e){return e===null?null:Cl(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function q2(e,t){let n=new Map;Xh(e,t,n);for(let a of Array.from(n.keys())){let r=n.get(a);if(v.isPromise(r)){let s=await r;n.set(a,s)}}return Xh(e,t,n)}function Cl(e){let t=!1;if(H().get("IS_BROWSER"))t=e instanceof TextDecoder;else{let{StringDecoder:n}=LI();t=e instanceof n}return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Ne)&&!(e instanceof Promise)&&!t)}function K6(e){return e==null||X6(e)||Array.isArray(e)||typeof e=="object"&&e instanceof Ne||v.isTypedArray(e)}function X6(e){return e===null||typeof e!="object"&&typeof e!="function"}function Y6(e){return q6(e,Z6)}function Z6(e){return e instanceof Ne?{value:e.clone(),recurse:!1}:Cl(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var j2=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},R0=class extends j2{constructor(){super(R0.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let a=0;at===!0)}rowMajorBatch(e,t=!0){return new sq(this,e,t)}columnMajorBatch(e,t=!0,n=H2){return this.rowMajorBatch(e,t).map(a=>j6(a,n))}concatenate(e,t){return new X2(K2([this,e]),t)}take(e){return e<0||e==null?this:new rq(this,e)}skip(e){return e<0||e==null?this:new aq(this,e)}prefetch(e){return new Y2(this,e)}shuffle(e,t){return new cq(this,e,t)}serial(){return new nq(this)}},eq=class extends nn{constructor(e){super(),this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:Y6(e),done:!1}}},tq=class extends nn{constructor(e){super(),this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},nq=class extends nn{constructor(e){super(),this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},aq=class extends nn{constructor(e,t){super(),this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},sq=class extends nn{constructor(e,t,n=!0){super(),this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},iq=class extends nn{constructor(e,t){super(),this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;_e(e.value)}}},oq=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},lq=class extends nn{constructor(e,t){super(),this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},eI=class extends nn{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Ua.getTensorsInContainer(e.value),n=await this.transform(e.value),a=Ua.getTensorsInContainer(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return{value:n,done:!1}}},M0=class extends nn{constructor(){super(),this.outputQueue=new R0,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},uq=class extends M0{constructor(e,t){super(),this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Ua.getTensorsInContainer(e.value),n=this.transform(e.value),a=Ua.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let r of t)Ua.isTensorInList(r,a)||r.dispose();return!0}},X2=class extends nn{constructor(e,t){super(),this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},as;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(as||(as={}));var pq=class extends nn{constructor(e,t=as.FAIL){super(),this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function a(s){return s instanceof nn?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let r=await q2(this.iterators,a);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case as.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case as.SHORTEST:return{value:null,done:!0};case as.LONGEST:default:}return this.count++,{value:r,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},Y2=class extends nn{constructor(e,t){super(),this.upstream=e,this.bufferSize=t,this.buffer=new j2(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},cq=class extends Y2{constructor(e,t,n){super(e,t),this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=H6.alea(n||v.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Hu=class{constructor(){this.size=null}batch(e,t=!0){let n=this;v.assert(e>0,()=>`batchSize needs to be positive, but it is ${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Xn(async()=>(await n.iterator()).columnMajorBatch(e,t,mq),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Xn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Xn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Xn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Xn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Xn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Xn(async()=>{let a=D0(async()=>({value:await t.iterator(),done:!1}));return J6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=G6.alea(t||v.now().toString());return Xn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Xn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Hu.MAX_BUFFER_SIZE=1e4;function Xn(e,t=null){return new class extends Hu{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function dq(e){return Xn(async()=>K2(e),e.length)}function hq(e){if(!Cl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await q2(e,a=>{if(a instanceof Hu)return{value:a.iterator(),recurse:!1};if(Cl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return Q6(n,as.SHORTEST)},t)}function mq(e){if(e===null)return null;let t=e[0];return K6(t)?{value:fq(e),recurse:!1}:{value:null,recurse:!0}}function fq(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Ne?Ft(e):fn(e)}var Z2=class extends Hu{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` `).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},dh='"',Ap=Symbol("out"),tI=Symbol("field"),hh=Symbol("quote"),Ib=Symbol("quoteafterquote"),nI=Symbol("quoteinquote"),J2=class extends Hu{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new Z2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(!H().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let t=new Q2(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let a=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let a=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(a=>{let r=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&a({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(r),a({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((a,r)=>n.set(a,r*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(v.sizeFromShape(t));return n.set(e,n.length-e.length),fn(n,t)}},eC=class extends nn{constructor(e,t){if(super(),this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=je([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,a=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,r=(1-n)/2,s=(1-a)/2,i=r+n,o=a+s;this.cropBox=Fa([s,r,o,i],[1,4])}else this.cropBox=Fa([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(!H().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new eC(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&v.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=wo.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return P(()=>{let t=Qt(ie(e,"float32"),0),n;n=$a.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let a=n.shape;return W(n,a.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},tC=class{},nC=class extends nn{split(e){return new gq(this,e)}},gq=class extends nC{constructor(e,t){super(),this.upstream=e,this.impl=new yq(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},yq=class extends M0{constructor(e,t){super(),this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},bq=class extends nn{decodeUTF8(){return new xq(this)}},xq=class extends nC{constructor(e){super(),this.upstream=e,this.impl=new vq(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},vq=class extends M0{constructor(e){if(super(),this.upstream=e,H().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=LI();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return H().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},aC=class extends bq{constructor(e,t={}){super(),this.file=e,this.options=t,v.assert(e instanceof Uint8Array||(H().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let a=new FileReader;a.onload=s=>{let i=a.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},a.onabort=s=>t(new Error("Aborted")),a.onerror=s=>t(new Error(s.type));let r=this.file.slice(this.offset,n);a.readAsArrayBuffer(r)}this.offset=n}),done:!1}}};async function wq(e,t={},n){let a,r;typeof e=="string"?a=e:(a=e.url,r=kq(e));let s=await(n||v.fetch)(a,r);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new aC(i,t)}else throw new Error(s.statusText)}var kq=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function rC(e){return typeof e=="string"&&e.slice(0,7)==="file://"}var sC=class extends tC{constructor(e,t={}){super(),this.input=e,this.options=t}async iterator(){if(rC(this.input)&&H().get("IS_NODE")){let e=Tx();this.input=e.readFileSync(this.input.slice(7))}return new aC(this.input,this.options)}},iC=class extends tC{constructor(e,t={}){super(),this.url=e,this.fileOptions=t}async iterator(){return rC(this.url)?new sC(this.url,this.fileOptions).iterator():wq(this.url,this.fileOptions)}};function Iq(e,t={}){return new J2(new iC(e),t)}function Sq(e){let t=D0(e);return Xn(async()=>t)}function Tq(e){return Xn(async()=>{let t=await e();return D0(()=>t.next())})}async function Nq(e,t){return eC.create(e,t)}async function Cq(e){return Q2.create(e)}var _q="4.2.0";function ge(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var Eq=fr.whereImpl,P0=class extends uc{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new im(this,Ea())}nextDataId(){return P0.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,H().get("IS_NODE")&&N.warn(` ============================ @@ -4878,4 +4878,4 @@ return a / b;`,qne=` } `}};function Use(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=N.getAxesPermutation([u],o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=de({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=Um(r.dtype),g=(w,I,T,C,E)=>{let $=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize:$,numSegments:E},M=new Vse(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===E)return B;let U=PE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=LE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,E)},y=g(m,"unsortedSegmentSum",s,f,i),b=de({inputs:{x:y},backend:n,attrs:{shape:c}}),x=b;if(p!=null){l.push(b);let w=N.getUndoAxesPermutation(p);x=Sn({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Gse={kernelName:Nc,backendName:"webgl",kernelFunc:Use},Hse=[WJ,VJ,HJ,KJ,YJ,QJ,t9,a9,o9,u9,d9,f9,b9,k9,T9,C9,E9,R9,M9,O9,B9,K9,Y9,J9,rQ,iQ,pQ,IJ,hQ,bQ,kQ,_Q,AQ,FQ,DQ,PQ,zQ,VQ,HQ,jQ,XQ,ZQ,eee,nee,iee,lee,cee,mee,gee,vee,See,_ee,$ee,Dee,Mee,Oee,zee,Bee,Uee,Hee,Xee,Jee,tte,ate,ite,ute,hte,yte,kJ,xte,gQ,kte,Tte,_te,TJ,Fte,Pte,Lte,Vte,Hte,Xte,Jte,nne,ine,une,cne,fne,yne,xne,Ine,Tne,Cne,Ene,$ne,Mne,zne,Une,Zne,_J,tae,rae,oae,pae,eQ,hae,fae,yae,vae,Sae,CJ,Nae,_ae,Aae,Fae,Rae,tQ,jne,Pae,Wae,Gae,AJ,Kae,Zae,tre,rre,lre,pre,hre,gre,bre,wre,Sre,Cre,$re,Dre,Ore,Wre,q9,Xne,Ure,Hre,jre,Xre,Zre,Qre,tse,ase,sse,lse,pse,dse,fse,yse,xse,wse,Kne,OJ,Sse,Cse,Ase,Dse,Ose,LJ,zse,Bse,Gse,mae];for(let e of Hse)Cc(e);var At;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(At||(At={}));var lc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(lc||(lc={}));var zE;function qse(e){zE=e.wasm.cwrap(ei,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function jse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${E.shape.length}.`);m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=lc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],b=u?s.shape[1]:s.shape[2],x=Mu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,y,b],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return zE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Kse={kernelName:ei,backendName:"wasm",setupFunc:qse,kernelFunc:jse};function Ut(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,At[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Xse=Ut(Rl);function hn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(u.shape).buffer),y=new Uint8Array(new Int32Array(p.shape).buffer),b=o.dataIdMap.get(f.dataId).id;return a(d,g,u.shape.length,c,y,p.shape.length,At[u.dtype],b),f}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var Yse=!0,Zse=hn(vs,Yse),WE;function Jse(e){WE=e.wasm.cwrap(bi,null,["array","number","number","number"])}function Qse(e){let{inputs:t,backend:n}=e,a=n.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(a.shape)===0)return a;let r=t.map(o=>n.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=n.dataIdMap.get(a.dataId).id;return WE(s,r.length,At[a.dtype],i),a}var eie={kernelName:bi,backendName:"wasm",setupFunc:Jse,kernelFunc:Qse};function Kf(e){let{inputs:{x:t},backend:n}=e;if(t.dtype==="string")return fn(n.readSync(t.dataId),t.shape,t.dtype);let a=n.makeOutput(t.shape,t.dtype),r=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(a).set(r),a}var tie={kernelName:Oi,backendName:"wasm",kernelFunc:Kf},BE;function nie(e){BE=e.wasm.cwrap(Ar,null,["number","array","number","number","number","array","number"])}function ys(e){let{inputs:t,backend:n,attrs:a}=e,[r,s]=rie(t.x.shape,a.perm),i=!0;for(let m=0;m=r&&(s===-1||a[s]>a[i])&&(s=i);a[s]=r}return[n,a]}var sie={kernelName:Ar,backendName:"wasm",kernelFunc:ys,setupFunc:nie};function Fs(e,t,n){let a=e.shape,r=e.shape.length,s=v.parseAxisParam(t,a),i=s,o=N.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let c=0;c`new shape: ${i}, old shape: ${a.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(a.dataId),{dataId:a.dataId,shape:i,dtype:a.dtype}}var bie={kernelName:bu,backendName:"wasm",kernelFunc:Wn},qE;function xie(e){qE=e.wasm.cwrap(wi,null,["number","array","number","number","array","number","number","number","number"])}function vie(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],d=o?s.shape[u-1]:s.shape[u-2],c=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],m=r.shape.slice(0,-2),f=s.shape.slice(0,-2),g=v.sizeFromShape(m),y=v.sizeFromShape(f),b=Mu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([c,h]);v.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let x=i?[g,p,c]:[g,c,p],w=o?[y,h,d]:[y,d,h],I=Wn({inputs:{x:r},backend:n,attrs:{shape:x}}),T=Wn({inputs:{x:s},backend:n,attrs:{shape:w}}),C=n.dataIdMap.get(I.dataId).id,E=n.dataIdMap.get(T.dataId).id,$=i?I.shape[2]:I.shape[1],R=o?T.shape[1]:T.shape[2],F=Math.max(g,y),S=n.makeOutput([F,$,R],I.dtype),M=n.dataIdMap.get(S.dataId).id,B=new Uint8Array(new Int32Array(I.shape).buffer),U=new Uint8Array(new Int32Array(T.shape).buffer);return qE(C,B,I.shape.length,E,U,T.shape.length,i,o,M),n.disposeData(I.dataId),n.disposeData(T.dataId),S.shape=b,S}var wie={kernelName:wi,backendName:"wasm",setupFunc:xie,kernelFunc:vie};function gi(e){let{inputs:{x:t},attrs:{begin:n,size:a},backend:r}=e,[s,i]=Kt.parseSliceParams(t,n,a),o=Kt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),d=r.dataIdMap.get(u.dataId);if(o){let m=Kt.computeFlatOffset(s,p);return t.dtype==="string"?d.stringBytes=l.slice(m,m+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(m,m+v.sizeFromShape(i))),u}if(t.dtype==="string"){let m=Zh(l,s,i,t.shape,t.dtype);return d.stringBytes=m,u}let c=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)kie(l,p[0],c,s,i);else if(h===3)Iie(l,p[0],p[1],c,s,i);else if(h===4)Sie(l,p[0],p[1],p[2],c,s,i);else{let m=Zh(l,s,i,t.shape,t.dtype);c.set(m)}return u}function kie(e,t,n,a,r){let s=0,i=a[0],o=a[1],l=i+r[0];for(let u=i;uy*b),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=Wn({inputs:{x:r},backend:n,attrs:{shape:l}}),m=ys({inputs:{x:h},backend:n,attrs:{perm:u}}),f=Wn({inputs:{x:m},backend:n,attrs:{shape:p}}),g=gi({inputs:{x:f},backend:n,attrs:{begin:d,size:c}});return n.disposeData(h.dataId),n.disposeData(m.dataId),n.disposeData(h.dataId),g}var Cie={kernelName:Ul,backendName:"wasm",kernelFunc:Nie};function tp(e){let{inputs:{x:t},attrs:{dtype:n},backend:a}=e,r=a.makeOutput(t.shape,n),s=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(r).set(s),r}var _ie={kernelName:ki,backendName:"wasm",kernelFunc:tp},Eie=Ut(Ii),jE;function Aie(e){jE=e.wasm.cwrap(ws,null,["number","number","number","number"])}function $ie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o=n.dataIdMap.get(r.dataId).id,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(l.dataId).id;return jE(o,s,i,u),l}var Fie={kernelName:ws,backendName:"wasm",setupFunc:Aie,kernelFunc:$ie};function KE(e){let{inputs:t,backend:n}=e,a=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);N.assertParamsConsistent(r,a);let s=N.computeOutShape(t.map(h=>h.shape),a),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Kf({inputs:{x:i[0]},backend:n});let o=n.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(x=>{let w=[-1,v.sizeFromShape(x.shape.slice(a))];return Wn({inputs:{x},backend:n,attrs:{shape:w}})}),m=h.map(x=>({vals:n.readSync(x.dataId),shape:x.shape}));s=N.computeOutShape(h.map(x=>x.shape),1);let f=h[0].shape[0]===1,g=z0(m,s,t[0].dtype,f),y=N.computeOutShape(i.map(x=>x.shape),a);o.shape=y;let b=n.dataIdMap.get(o.dataId);return b.stringBytes=N.fromStringArrayToUint8(g),h.forEach(x=>n.disposeData(x.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,a)),u=0,p=i.map(h=>{let m=v.sizeFromShape(h.shape.slice(a));return u+=m,m}),d=i.map(h=>n.typedArrayFromHeap(h)),c=n.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ys({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumprod",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;JE(m,i?1:0,o?1:0,h,f,At[r.dtype]);let g=c;if(u!==null){let y=N.getUndoAxesPermutation(u);g=ys({inputs:{x:c},attrs:{perm:y},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var jie={kernelName:Hl,backendName:"wasm",setupFunc:Hie,kernelFunc:qie},QE;function Kie(e){QE=e.wasm.cwrap(_i,null,["number","number","number","number","number","number"])}function Xie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=N.getAxesPermutation([s],l),p=r;u!==null&&(p=ys({inputs:{x:r},attrs:{perm:u},backend:n}));let d=N.getInnerMostAxes(1,l)[0];N.assertAxesAreInnerMostDims("cumsum",[d],l);let c=n.makeOutput(p.shape,p.dtype),h=p.shape[d],m=n.dataIdMap.get(p.dataId).id,f=n.dataIdMap.get(c.dataId).id;QE(m,i?1:0,o?1:0,h,f,At[r.dtype]);let g=c;if(u!==null){let y=N.getUndoAxesPermutation(u);g=ys({inputs:{x:c},attrs:{perm:y},backend:n}),n.disposeData(p.dataId),n.disposeData(c.dataId)}return g}var Yie={kernelName:_i,backendName:"wasm",setupFunc:Kie,kernelFunc:Xie},eA;function Zie(e){eA=e.wasm.cwrap(jl,null,["number","number","number","array","number","array","array","number","number"])}function Jie(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=t.makeOutput(m,"float32"),g=t.dataIdMap.get(r.dataId).id,y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(m).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer),w=t.dataIdMap.get(f.dataId).id;return eA(g,s,i==="NHWC"?1:0,y,r.shape.length-1,b,x,m.length,w),f}var Qie={kernelName:jl,backendName:"wasm",setupFunc:Zie,kernelFunc:Jie},tA;function eoe(e){tA=e.wasm.cwrap(Ei,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function toe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s}=t,i=a.dataIdMap.get(r.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:d}=n,c=u==null?[1,1]:u,h=N.computeConv2DInfo(r.shape,s.shape,l,c,p,d,!0),m=h.filterHeight,f=h.filterWidth,g=h.padInfo.top,y=h.padInfo.right,b=h.padInfo.bottom,x=h.padInfo.left,w=h.dilationHeight,I=h.dilationWidth,T=h.strideHeight,C=h.strideWidth,E=h.inChannels,$=h.outChannels,R=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let F=a.makeOutput(h.outShape,"float32"),S=a.dataIdMap.get(F.dataId).id;return tA(i,r.shape[0],r.shape[1],r.shape[2],o,m,f,g,y,b,x,R,w,I,T,C,E,$,S),F}var noe={kernelName:Ei,backendName:"wasm",setupFunc:eoe,kernelFunc:toe},aoe=Ut($i),roe=!1,soe=hn(Xl,roe,"bool"),ioe=Ut(Fi,"float32");function vx(e){let{inputs:t,attrs:n,backend:a}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Wn({inputs:{x:r},backend:a,attrs:{shape:o}})}var ooe={kernelName:Yl,backendName:"wasm",kernelFunc:vx};function nA(e){let{attrs:{shape:t,value:n,dtype:a},backend:r}=e,s=r.makeOutput(t,a);return r.typedArrayFromHeap(s).fill(n),s}var loe={kernelName:fc,backendName:"wasm",kernelFunc:nA},aA;function uoe(e){aA=e.wasm.cwrap(Jl,null,["number","number","number","number","number","number"])}function poe(e){let{inputs:t,backend:n}=e,{image:a}=t,r=n.makeOutput(a.shape,a.dtype),s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,[o,l,u,p]=a.shape;return aA(s,o,l,u,p,i),r}var coe={kernelName:Jl,backendName:"wasm",kernelFunc:poe,setupFunc:uoe},doe=Ut(Ri),hoe=!1,moe=hn(Di,hoe),rA;function foe(e){rA=e.wasm.cwrap(Mi,null,["number","number","number","number","number","number","number"])}function goe(e){let{backend:t,inputs:n,attrs:a}=e,{varianceEpsilon:r}=a,{x:s,mean:i,variance:o,offset:l,scale:u}=n,p=t.dataIdMap.get(s.dataId).id,d=t.dataIdMap.get(i.dataId).id,c=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,m=u!=null?t.dataIdMap.get(u.dataId).id:0,f=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return f;let g=t.dataIdMap.get(f.dataId).id;return rA(p,d,c,h,m,r,g),f}var yoe={kernelName:Mi,backendName:"wasm",setupFunc:foe,kernelFunc:goe},sA;function boe(e){sA=e.wasm.cwrap(ti,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function xoe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c),g=lc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let y=a.dataIdMap.get(r.dataId).id,b=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,$=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,j=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let J=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(J.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return sA(y,j,K,Z,b,I,T,w,C,E,$,R,G,F,S,M,B,U,x,g,ae,m||0,ee),J}var voe={kernelName:ti,backendName:"wasm",setupFunc:boe,kernelFunc:xoe},iA;function woe(e){iA=e.wasm.cwrap(ni,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function koe(e){let{inputs:t,attrs:n,backend:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=n,f=N.computeConv2DInfo(r.shape,s.shape,l,p,u,c,!0),g=lc[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let y=a.dataIdMap.get(r.dataId).id,b=a.dataIdMap.get(s.dataId).id,x=f.outChannels,w=0;if(i!=null){let te=a.dataIdMap.get(i.dataId);if(te.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${te.shape.length}.`);if(te.shape[0]!==x)throw new Error(`FusedDepthwiseConv2D bias shape (${te.shape}) does not match the number of output channels (${x})`);w=te.id}let I=f.filterHeight,T=f.filterWidth,C=f.padInfo.top,E=f.padInfo.right,$=f.padInfo.bottom,R=f.padInfo.left,F=f.dilationHeight,S=f.dilationWidth,M=f.strideHeight,B=f.strideWidth,U=f.inChannels,G=f.padInfo.type==="SAME"?1:0,j=f.batchSize,K=f.inHeight,Z=f.inWidth;if(d!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${d}'. Please use 'NHWC'.`);let J=a.makeOutput(f.outShape,"float32"),ee=a.dataIdMap.get(J.dataId).id,ae=o==null?0:a.dataIdMap.get(o.dataId).id;return iA(y,j,K,Z,b,I,T,w,C,E,$,R,G,F,S,M,B,U,x,g,ae,m||0,ee),J}var Ioe={kernelName:ni,backendName:"wasm",setupFunc:woe,kernelFunc:koe},oA;function Soe(e){oA=e.wasm.cwrap(eu,null,["number","number","number","number","number","number","array","number"])}function Toe(e){let{backend:t,inputs:n}=e,{params:a,indices:r}=n,[s,i,o,l]=Qv.prepareAndValidate(a,r),u=t.makeOutput(s,a.dtype);if(i===0)return u;let p=r.shape,d=p[p.length-1],c=t.dataIdMap.get(a.dataId).id,h=t.dataIdMap.get(r.dataId).id,m=new Uint8Array(new Int32Array(l).buffer),f=t.dataIdMap.get(u.dataId).id;return oA(c,At[a.dtype],h,i,d,o,m,f),u}var Noe={kernelName:eu,backendName:"wasm",setupFunc:Soe,kernelFunc:Toe},lA;function Coe(e){lA=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function _oe(e){let{backend:t,inputs:n,attrs:a}=e,{x:r,indices:s}=n,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${E} is not in [0, ${p-1}]`)}let d=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),c=Wn({inputs:{x:r},attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),m=Wn({inputs:{x:s},attrs:{shape:[d.batchSize,h/d.batchSize]},backend:t}),f=[d.batchSize,d.outerSize,h/d.batchSize,d.sliceSize],g=t.makeOutput(f,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let y=c.shape.length-1,b=t.dataIdMap.get(c.dataId).id,x=t.dataIdMap.get(m.dataId).id,w=t.dataIdMap.get(g.dataId).id,I=new Uint8Array(new Int32Array(v.computeStrides(c.shape)).buffer),T=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer);return lA(b,At[r.dtype],I,y,x,d.batchSize,T,w),t.disposeData(c.dataId),t.disposeData(m.dataId),g.shape=d.outputShape,g}var Eoe={kernelName:Ql,backendName:"wasm",setupFunc:Coe,kernelFunc:_oe},Aoe=!1,$oe=hn(tu,Aoe,"bool"),Foe=!1,Roe=hn(Pi,Foe,"bool"),Doe=Ut(Li,"bool"),uA;function Moe(e){uA=e.wasm.cwrap(zi,null,["number","number","number","number"])}function Poe(e){let{inputs:{x:t},attrs:{alpha:n},backend:a}=e,r=a.dataIdMap.get(t.dataId).id,s=a.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=a.dataIdMap.get(s.dataId).id;uA(r,At[t.dtype],n,i)}return s}var Ooe={kernelName:zi,backendName:"wasm",setupFunc:Moe,kernelFunc:Poe},Loe=!1,zoe=hn(ru,Loe,"bool"),Woe=!1,Boe=hn(su,Woe,"bool"),Voe=Ut(Wi),Uoe=!1,Goe=hn(ou,Uoe,"bool"),Hoe=Ut(lu),qoe=!1,joe=hn(uu,qoe,"bool"),Koe=!1,Xoe=hn(QI,Koe,"bool"),pA;function Yoe(e){pA=e.wasm.cwrap(Bi,null,["number","number","number","number"])}function Zoe(e){let{backend:t,inputs:n,attrs:a}=e,{reductionIndices:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:d,inputWasTransposed:c}=Fs(i,r,t);if(c){let b=t.dataIdMap.get(u.dataId).id;l=u,o=b}let h=l.shape.length;N.assertAxesAreInnerMostDims("max",p,h);let[m,f]=N.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(f),y=t.makeOutput(m,i.dtype);if(v.sizeFromShape(l.shape)!==0){let b=t.dataIdMap.get(y.dataId).id;pA(o,At[i.dtype],g,b)}if(c&&t.disposeData(u.dataId),s){let b=N.expandShapeToKeepDim(y.shape,d);y.shape=b}return y}var Joe={kernelName:Bi,backendName:"wasm",setupFunc:Yoe,kernelFunc:Zoe},Qoe=!1,ele=hn(Vi,Qoe),cA;function tle(e){cA=e.wasm.cwrap(Ui,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function nle(e){let{inputs:t,attrs:n,backend:a}=e,r=t.x,s=a.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=N.computePool2DInfo(r.shape,i,o,1,l,u),d=p.filterHeight,c=p.filterWidth,h=p.padInfo.top,m=p.padInfo.right,f=p.padInfo.bottom,g=p.padInfo.left,y=p.dilationHeight,b=p.dilationWidth,x=p.strideHeight,w=p.strideWidth,I=p.inChannels,T=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=a.makeOutput(p.outShape,"float32"),E=a.dataIdMap.get(C.dataId).id;return cA(s,r.shape[0],r.shape[1],r.shape[2],d,c,h,m,f,g,y,b,x,w,I,T,E),C}var ale={kernelName:Ui,backendName:"wasm",setupFunc:tle,kernelFunc:nle},dA;function rle(e){dA=e.wasm.cwrap(Gi,null,["number, number, number"])}function sle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Fs(i,r,t),m=d;if(h){let w=t.dataIdMap.get(p.dataId).id;w!==o&&(u=p,l=w,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("mean",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=u;u.dtype!=="float32"&&(b=tp({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(b.dataId).id);let x=t.makeOutput(f,"float32");if(v.sizeFromShape(u.shape)!==0){let w=t.dataIdMap.get(x.dataId).id;dA(l,y,w)}if(h&&t.disposeData(p.dataId),s){let w=N.expandShapeToKeepDim(x.shape,c);x.shape=w}return u.dtype!=="float32"&&t.disposeData(b.dataId),x}var ile={kernelName:Gi,backendName:"wasm",setupFunc:rle,kernelFunc:sle},hA;function ole(e){hA=e.wasm.cwrap(Hi,null,["number","number","number","number"])}function lle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Fs(i,r,t);if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x)}let m=u.shape.length;N.assertAxesAreInnerMostDims("min",d,m);let[f,g]=N.computeOutAndReduceShapes(u.shape,d),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;hA(l,At[i.dtype],y,x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var ule={kernelName:Hi,backendName:"wasm",setupFunc:ole,kernelFunc:lle},ple=!1,cle=hn(qi,ple),wx;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(wx||(wx={}));var mA;function dle(e){mA=e.wasm.cwrap(ji,null,["number","array","number","number","array","array","number","number"])}function hle(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,mode:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]),i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return mA(i,u,t.shape.length,At[t.dtype],c,h,wx[r],l),o}var mle={kernelName:ji,backendName:"wasm",kernelFunc:hle,setupFunc:dle},fle=!0,gle=hn(Ki,fle),yle=Ut(cu);function c1(e,t){let n=new Int32Array(e.wasm.HEAPU8.buffer,t,4),a=n[0],r=n[1],s=n[2],i=n[3];return e.wasm._free(t),{pSelectedIndices:a,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var fA;function ble(e){fA=e.wasm.cwrap(hu,"number",["number","number","number","number","number"])}function xle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=a,{boxes:o,scores:l}=n,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,d=fA(u,p,s,r,i),{pSelectedIndices:c,selectedSize:h,pSelectedScores:m,pValidOutputs:f}=c1(t,d);return t.wasm._free(m),t.wasm._free(f),t.makeOutput([h],"int32",c)}var vle={kernelName:hu,backendName:"wasm",setupFunc:ble,kernelFunc:xle},gA;function wle(e){gA=e.wasm.cwrap(mu,"number",["number","number","number","number","number","bool"])}function kle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=gA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=c1(t,c);t.wasm._free(f);let y=t.makeOutput([m],"int32",h),b=t.makeOutput([],"int32",g);return[y,b]}var Ile={kernelName:mu,backendName:"wasm",setupFunc:wle,kernelFunc:kle},yA;function Sle(e){yA=e.wasm.cwrap(fu,"number",["number","number","number","number","number","number"])}function Tle(e){let{backend:t,inputs:n,attrs:a}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=a,{boxes:l,scores:u}=n,p=t.dataIdMap.get(l.dataId).id,d=t.dataIdMap.get(u.dataId).id,c=yA(p,d,s,r,i,o),{pSelectedIndices:h,selectedSize:m,pSelectedScores:f,pValidOutputs:g}=c1(t,c);t.wasm._free(g);let y=t.makeOutput([m],"int32",h),b=t.makeOutput([m],"float32",f);return[y,b]}var Nle={kernelName:fu,backendName:"wasm",setupFunc:Sle,kernelFunc:Tle},Cle=!1,_le=hn(du,Cle,"bool"),bA;function Ele(e){bA=e.wasm.cwrap(Xi,null,["number","number","number","number","number"])}function Ale(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=n.makeOutput([...r.shape,i],s),p=n.dataIdMap.get(u.dataId).id,d=n.dataIdMap.get(r.dataId).id;return bA(d,i,o,l,p),u}var $le={kernelName:Xi,backendName:"wasm",setupFunc:Ele,kernelFunc:Ale};function Fle(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(1),a}var Rle={kernelName:gu,backendName:"wasm",kernelFunc:Fle};function Dle(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return vx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=vx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=KE({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeData(p.dataId)),u}var Mle={kernelName:yu,backendName:"wasm",kernelFunc:Dle},xA;function Ple(e){xA=e.wasm.cwrap(Yi,null,["number","array","number","number","array","array","number","number"])}function Ole(e){let{inputs:{x:t},backend:n,attrs:{paddings:a,constantValue:r}}=e,s=a.map((m,f)=>m[0]+t.shape[f]+m[1]);if(v.sizeFromShape(t.shape)===0)return nA({backend:n,attrs:{shape:s,value:r,dtype:t.dtype}});let i=n.dataIdMap.get(t.dataId).id,o=n.makeOutput(s,t.dtype),l=n.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=a.map(m=>m[0]),d=a.map(m=>m[1]),c=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(d).buffer);return xA(i,u,t.shape.length,At[t.dtype],c,h,r,l),o}var vA={kernelName:Yi,backendName:"wasm",kernelFunc:Ole,setupFunc:Ple},Lle=!1,zle=hn(Zi,Lle),wA;function Wle(e){wA=e.wasm.cwrap(Ji,null,["number","number","number"])}function Ble(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=n.dataIdMap.get(a.dataId).id,i=n.dataIdMap.get(r.dataId).id,o=s,l=a,u=l;l.dtype!=="float32"&&(u=tp({backend:n,inputs:{x:a},attrs:{dtype:"float32"}}),o=n.dataIdMap.get(u.dataId).id);let p=n.makeOutput(a.shape,"float32"),d=n.dataIdMap.get(p.dataId).id;return wA(o,i,d),l.dtype!=="float32"&&n.disposeData(u.dataId),p}var Vle={kernelName:Ji,backendName:"wasm",setupFunc:Wle,kernelFunc:Ble},kA;function Ule(e){kA=e.wasm.cwrap(Qi,null,["number","number","number","number"])}function Gle(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Fs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("prod",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;kA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var Hle={kernelName:Qi,backendName:"wasm",setupFunc:Ule,kernelFunc:Gle},qle=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=V0(a,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},jle={kernelName:bc,backendName:"wasm",kernelFunc:qle},Kle=!0,Xle=hn(Ai,Kle),Yle=Ut(eo),Zle=Ut(to),Jle=Ut(ro),IA;function Qle(e){IA=e.wasm.cwrap(ao,null,["number","number","number","number","number","number","number","number","number","number"])}function eue(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.dataIdMap.get(r.dataId),g;f.dtype!=="float32"&&(g=tp({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),f=t.dataIdMap.get(g.dataId));let y=f.id,b=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return b;let x=t.dataIdMap.get(b.dataId).id;return IA(y,p,d,c,h,l,u,s?1:0,i?1:0,x),g!=null&&t.disposeData(g.dataId),b}var tue={kernelName:ao,backendName:"wasm",setupFunc:Qle,kernelFunc:eue},SA;function nue(e){SA=e.wasm.cwrap(no,null,["number","number","number","number","number","number","number","number","number","number"])}function aue(e){let{backend:t,inputs:n,attrs:a}=e,{images:r}=n,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,[p,d,c,h]=r.shape,m=[p,l,u,h],f=t.makeOutput(m,"float32");if(v.sizeFromShape(r.shape)===0)return f;let g=t.dataIdMap.get(r.dataId),y;g.dtype!=="float32"&&(y=tp({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(y.dataId));let b=g.id,x=t.dataIdMap.get(f.dataId).id;return SA(b,p,d,c,h,l,u,s?1:0,i?1:0,x),y!=null&&t.disposeData(y.dataId),f}var rue={kernelName:no,backendName:"wasm",setupFunc:nue,kernelFunc:aue},TA;function sue(e){TA=e.wasm.cwrap(so,null,["number","array","number","array","number","number"])}function iue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Kf({inputs:{x:r},backend:n});let o=n.makeOutput(r.shape,r.dtype),l=n.dataIdMap.get(r.dataId).id,u=n.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),d=new Uint8Array(new Int32Array(r.shape).buffer);TA(l,p,i.length,d,r.shape.length,u);let c=Wn({inputs:{x:o},attrs:{shape:r.shape},backend:n});return n.disposeData(o.dataId),c}var oue={kernelName:so,backendName:"wasm",kernelFunc:iue,setupFunc:sue},NA;function lue(e){NA=e.wasm.cwrap(Du,null,["number","number","number","number","number","number","number","number","array","number","number"])}function uue(e){let{inputs:t,backend:n,attrs:a}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=a,l=n.makeOutput(r.shape,r.dtype),u=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(l.dataId).id,[d,c,h,m]=r.shape,[f,g]=N.getImageCenter(o,c,h),y=i===0,b=255,x=typeof i=="number"?[i,i,i,y?0:b]:[...i,b],w=new Uint8Array(new Int32Array(x).buffer);return NA(u,d,c,h,m,s,f,g,w,x.length,p),l}var pue={kernelName:Du,backendName:"wasm",kernelFunc:uue,setupFunc:lue},cue=Ut(io),due=Ut(oo),CA;function hue(e){CA=e.wasm.cwrap(xu,null,["number","number","number","number","number","number","array","number","number"])}function mue(e){let{backend:t,inputs:n,attrs:a}=e,{indices:r,updates:s}=n,{shape:i}=a,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=Ov.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,f=new Uint8Array(new Int32Array(d).buffer),g=t.dataIdMap.get(o.dataId).id;return CA(h,m,At[s.dtype],l,u,p,f,c,g),o}var fue={kernelName:xu,backendName:"wasm",setupFunc:hue,kernelFunc:mue},_A;function gue(e){_A=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function yue(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=n.dataIdMap.get(a.dataId).id,o=n.dataIdMap.get(r.dataId).id,l=n.dataIdMap.get(s.dataId).id,u=n.makeOutput(r.shape,r.dtype),p=n.dataIdMap.get(u.dataId).id,d=a.shape.length,c=r.shape.length,h=d===0||d>1||c===1?1:v.sizeFromShape(r.shape.slice(1));return _A(i,o,l,h,p),u}var bue={kernelName:vu,backendName:"wasm",kernelFunc:yue,setupFunc:gue},EA;function xue(e){EA=e.wasm.cwrap(uo,null,["number","number"])}function vue(e){let{backend:t,inputs:{x:n}}=e,a=t.dataIdMap.get(n.dataId).id,r=t.makeOutput(n.shape,n.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||EA(a,s),r}var wue={kernelName:"Sigmoid",backendName:"wasm",setupFunc:xue,kernelFunc:vue},kue=Ut(lo),AA;function Iue(e){AA=e.wasm.cwrap(ho,null,["number","number","number","number"])}function Sue(e){let{backend:t,inputs:{logits:n},attrs:{dim:a}}=e,r=t.dataIdMap.get(n.dataId).id,s=t.makeOutput(n.shape,n.dtype),i=t.dataIdMap.get(s.dataId).id,o=n.shape[a],l=v.sizeFromShape(n.shape)/o;return v.sizeFromShape(s.shape)===0||AA(r,i,o,l),s}var Tue={kernelName:ho,backendName:"wasm",setupFunc:Iue,kernelFunc:Sue};function Nue(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),y=n.dataIdMap.get(g.dataId).id;RA(d,At[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Due(e){return MA(e,!0)}var Mue={kernelName:vc,backendName:"wasm",setupFunc:DA,kernelFunc:Due};function Pue(e){return MA(e,!1)}var Oue={kernelName:wc,backendName:"wasm",setupFunc:DA,kernelFunc:Pue};function Lue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=gi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var zue={kernelName:Cu,backendName:"wasm",kernelFunc:Lue},Wue=Ut(po),Bue=Ut(kc),Vue=!0,Uue=hn(mo,Vue),PA;function Gue(e){PA=e.wasm.cwrap(Is,null,["number","number","number","number"])}function Hue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return PA(i,r,At[s.dtype],l),o}var que={kernelName:Is,backendName:"wasm",setupFunc:Gue,kernelFunc:Hue},OA;function jue(e){OA=e.wasm.cwrap(Eu,null,["number","array","number","array","array","array","array","array","number","number"])}function Kue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=gi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),$=new Uint8Array(new Int32Array(b).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;OA(C,E,r.shape.length,$,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Xue={kernelName:Eu,backendName:"wasm",setupFunc:jue,kernelFunc:Kue};function Yue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=G0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=m;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(f),[g,b]}var Zue={kernelName:Ic,backendName:"wasm",kernelFunc:Yue};function Jue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=H0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Que={kernelName:Sc,backendName:"wasm",kernelFunc:Jue};function epe(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=q0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var tpe={kernelName:Tc,backendName:"wasm",kernelFunc:epe},npe=!0,ape=hn(fo,npe),LA;function rpe(e){LA=e.wasm.cwrap(co,null,["number","number","number","number"])}function spe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Fs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;LA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var ipe={kernelName:co,backendName:"wasm",setupFunc:rpe,kernelFunc:spe},ope=Ut(go),lpe=Ut(yo),zA;function upe(e){zA=e.wasm.cwrap(ks,null,["number","array","number","array","number","number"])}function ppe(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return WA(i,o,a.shape.length,At[a.dtype],r,s,p,c),[u,d]},mpe={kernelName:Au,backendName:"wasm",setupFunc:dpe,kernelFunc:hpe},BA;function fpe(e){BA=e.wasm.cwrap($u,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function gpe(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return BA(I,T,s.shape[0]>1,p,m,f,h,c,d,y,r.shape.length-1,b,g.length-1,C,E,l,w),x}var ype={kernelName:$u,backendName:"wasm",setupFunc:fpe,kernelFunc:gpe};function bpe(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var xpe={kernelName:Fu,backendName:"wasm",kernelFunc:bpe};function vpe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var wpe={kernelName:Ru,backendName:"wasm",kernelFunc:vpe},kpe=[Kse,Xse,Zse,eie,lie,cie,mie,yie,wie,Cie,_ie,Eie,Fie,Rie,Pie,zie,Wie,Bie,Gie,jie,Yie,Qie,noe,aoe,soe,ioe,ooe,loe,coe,doe,moe,yoe,voe,Ioe,Noe,Eoe,$oe,Roe,tie,Doe,Ooe,zoe,Boe,Voe,Goe,Hoe,joe,Xoe,Joe,ele,ale,ile,ule,cle,mle,gle,yle,vle,Ile,Nle,_le,$le,Rle,Mle,vA,zle,Vle,Hle,jle,Xle,Yle,Zle,Jle,bie,tue,rue,oue,pue,cue,due,fue,bue,wue,kue,Tie,Tue,Cue,Aue,Rue,Mue,Oue,zue,Wue,Bue,Uue,que,Xue,Zue,Que,tpe,ape,ipe,ope,lpe,cpe,mpe,ype,sie,xpe,wpe];for(let e of kpe)Cc(e);var kx=H();kx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});kx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(kx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var RI=bs(MF()),Ipe=bs(PF()),DI=bs(OF()),MI=RI.default||RI,Spe=DI.default||DI,VA=class extends uc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(UA),Ix=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new im(this,Ea())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return Cpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function Tpe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function PI(e,t,n){if(rm!=null)return rm;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Up!=null&&Up[a]!=null?Up[a]:n+a}async function Npe(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=Ipe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?PI(e,t,Wp!=null?Wp:l):l+o},d1&&(r.instantiateWasm=Tpe(PI(e,t,Wp!=null?Wp:"")));let s=!1;r.onAbort=()=>{s||Gp||(Gp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&rm==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+MI.toString()],{type:"text/javascript"}),i=MI(r)):i=Spe(r),i.then(o=>{s=!0,Gp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function Cpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var _pe=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],rm=null,Wp=null,Up={},Gp=!1,d1=!1;function Epe(e,t=!1){if(Px("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");rm=e,d1=t}function Ape(e,t=!1){if(Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Wp=e;else{Up=e;let n=_pe.filter(a=>Up[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}d1=t}var UA=-1,Ix=-1;function $pe(e){UA=e}function Fpe(){if(Ix===-1)throw new Error("WASM backend not initialized.");return Ix}var Rpe="4.2.0",Dpe=2;Gm("wasm",async()=>{let{wasm:e}=await Npe();return new VA(e)},Dpe);var OI="4.2.0",Mpe="4.2.0",Ppe="4.2.0",Ope="4.2.0",Lpe="4.2.0",zpe={tfjs:OI,"tfjs-core":OI,"tfjs-converter":Mpe,"tfjs-backend-cpu":Ppe,"tfjs-backend-webgl":Ope,"tfjs-backend-wasm":Lpe};var O1={};rh(O1,{AnchorPosition:()=>_1,DrawBox:()=>dd,DrawBoxOptions:()=>Jf,DrawFaceLandmarks:()=>ug,DrawFaceLandmarksOptions:()=>lg,DrawTextField:()=>Br,DrawTextFieldOptions:()=>sp,drawContour:()=>Lr,drawDetections:()=>Kpe,drawFaceExpressions:()=>Qpe,drawFaceLandmarks:()=>tce});function Lr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var g1={};rh(g1,{computeReshapedDimensions:()=>f1,getCenterPoint:()=>Ao,isDimensions:()=>Yf,isEven:()=>Xf,isFloat:()=>m1,isTensor:()=>_o,isTensor1D:()=>Wpe,isTensor2D:()=>h1,isTensor3D:()=>zr,isTensor4D:()=>wa,isValidNumber:()=>Za,isValidProbablitiy:()=>np,range:()=>yr,round:()=>Eo});var xn=class{constructor(t,n){if(!Za(t)||!Za(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new xn(1/this.width,1/this.height)}};function _o(e,t){return e instanceof Ne&&e.shape.length===t}function Wpe(e){return _o(e,1)}function h1(e){return _o(e,2)}function zr(e){return _o(e,3)}function wa(e){return _o(e,4)}function m1(e){return e%1!==0}function Xf(e){return e%2===0}function Eo(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Yf(e){return e&&e.width&&e.height}function f1({width:e,height:t},n){let a=n/Math.max(t,e);return new xn(Math.round(e*a),Math.round(t*a))}function Ao(e){return e.reduce((t,n)=>t.add(n),new De(0,0)).div(new De(e.length,e.length))}function yr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Za(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function np(e){return Za(e)&&e>=0&&e<=1}var De=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new De(this.x+t.x,this.y+t.y)}sub(t){return new De(this.x-t.x,this.y-t.y)}mul(t){return new De(this.x*t.x,this.y*t.y)}div(t){return new De(this.x/t.x,this.y/t.y)}abs(){return new De(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new De(Math.floor(this.x),Math.floor(this.y))}};var st=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Za)}static assertIsValidBox(t,n,a=!1){if(!st.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Za),s=[a.x,a.y,a.width,a.height].every(Za);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];st.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new De(this.left,this.top)}get topRight(){return new De(this.right,this.top)}get bottomLeft(){return new De(this.left,this.bottom)}get bottomRight(){return new De(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new st({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new st({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new st({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var $o=class extends st{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Wr=class{constructor(t,n,a,r,s){this._imageDims=new xn(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new st(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new st(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Wr(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var yt=class extends Wr{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new yt(a,r,s)}};function y1(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function b1(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function Ja(e,t){return P(()=>{let[n,a,r]=t,s=bn([...e.shape.slice(0,3),1],n,"float32"),i=bn([...e.shape.slice(0,3),1],a,"float32"),o=bn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function v1(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,bn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>ie(c,"float32"));return Ze(d,i)})}function Bpe(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function pd(e){return 1/(1+Math.exp(-e))}function Vpe(e){return Math.log(e/(1-e))}var Fo=class extends st{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var Upe=.5,Gpe=.43,Hpe=.45,ra=class{constructor(t,n,a=new De(0,0)){let{width:r,height:s}=n;this._imgDims=new xn(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new De(r,s)).add(a))}get shift(){return new De(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new De(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new De(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof yt?t.box.floor():new st(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Hpe),l=Ao(t),u=Math.floor(Math.max(0,l.x-Upe*o)),p=Math.floor(Math.max(0,l.y-Gpe*o));return new Fo(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=b1(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var w1=class extends ra{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],Ao([t[3],t[4]])]}};var Ro=class extends ra{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(Ao)}};var ap=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Eo(this.distance)})`:""}`}};var rp=class extends st{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(st.assertIsValidBox(n,a),!Za(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var br=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new br(t.label,n)}};var k1=class extends rp{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(rp.assertIsValidLabeledBox(n,a),!np(n.score)||!np(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function xr(e){return e.detection instanceof yt}function Do(e,t){return{...e,...{detection:t}}}function I1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function cd(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Zf(e){let t="";if(!e&&cd())try{e=dF("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function S1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Zf();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function T1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var sn;function qpe(){if(!sn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return sn}function N1(e){sn=e}function C1(){return T1()?N1(I1()):cd()?N1(S1()):null}function jpe(e){if(sn||C1(),!sn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=sn.Canvas,Image:n=sn.Image}=e;sn.Canvas=t,sn.Image=n,sn.createCanvasElement=e.createCanvasElement||(()=>new t),sn.createImageElement=e.createImageElement||(()=>new n),sn.ImageData=e.ImageData||sn.ImageData,sn.Video=e.Video||sn.Video,sn.fetch=e.fetch||sn.fetch,sn.readFile=e.readFile||sn.readFile}var Qe={getEnv:qpe,setEnv:N1,initialize:C1,createBrowserEnv:I1,createFileSystem:Zf,createNodejsEnv:S1,monkeyPatch:jpe,isBrowser:T1,isNodejs:cd};C1();function Mo(e){return!Qe.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function Gn(e){let{Canvas:t,CanvasRenderingContext2D:n}=Qe.getEnv();if(e instanceof n)return e;let a=Mo(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var _1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(_1||{}),sp=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},Br=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof Br?t.text:t,this.anchor=n,this.options=new sp(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Jf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new sp({...i,...s})}},dd=class{constructor(t,n={}){this.box=new st(t),this.options=new Jf(n)}draw(t){let n=Gn(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new Br([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Kpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof yt?a.score:xr(a)?a.detection.score:void 0,s=a instanceof yt?a.box:xr(a)?a.detection.box:new st(a),i=r?`${Eo(r)}`:void 0;new dd(s,{label:i}).draw(e)})}function hd(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function E1(e){return new Promise((t,n)=>{(e instanceof Qe.getEnv().Canvas||hd(e))&&t(null);function a(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){!s.currentTarget||(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function A1(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=Qe.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Po(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t?new xn(e.naturalWidth,e.naturalHeight):e instanceof n?new xn(e.videoWidth,e.videoHeight):new xn(e.width,e.height)}function Oo({width:e,height:t}){let{createCanvasElement:n}=Qe.getEnv(),a=n();return a.width=e,a.height=t,a}function md(e,t){let{ImageData:n}=Qe.getEnv();if(!(e instanceof n)&&!hd(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Po(e),s=Oo({width:a,height:r});return e instanceof n?Gn(s).putImageData(e,0,0):Gn(s).drawImage(e,0,0,a,r),s}async function $1(e,t){let n=t||Qe.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(wa(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await wo.toPixels(i,n),i.dispose(),n}function Qf(e){let{Image:t,Canvas:n,Video:a}=Qe.getEnv();return e instanceof t||e instanceof n||e instanceof a}function F1(e,t,n=!1){let{Image:a,Canvas:r}=Qe.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Oo({width:1,height:1});let s=Po(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Oo({width:t,height:t}),p=e instanceof r?e:md(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&Gn(u).drawImage(p,c,h,o,l),u}var vr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(zr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(wa(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof Qe.getEnv().Canvas?a:md(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return yr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return f1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=yr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Ne){let o=wa(i)?i:Qt(i);return o=v1(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=$a.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof Qe.getEnv().Canvas)return wo.fromPixels(F1(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>ie(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function bt(e){if(e instanceof vr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Mo);return a.forEach((r,s)=>{if(!Qf(r)&&!zr(r)&&!wa(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(wa(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>Qf(r)&&E1(r))),new vr(a,Array.isArray(e))}async function ip(e,t){let{Canvas:n}=Qe.getEnv(),a=e;if(!(e instanceof n)){let i=await bt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await $1(o)}let r=Gn(a);return t.map(i=>i instanceof yt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Oo({width:l,height:u});return l>0&&u>0&&Gn(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function op(e,t){if(!zr(e)&&!wa(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(wa(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(wa(e)?1:0);return t.map(o=>o instanceof yt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>xo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Vr(e,t){let{fetch:n}=Qe.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function Xpe(e){let t=await Vr(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return A1(n)}async function R1(e){return(await Vr(e)).json()}async function Ype(e){return new Float32Array(await(await Vr(e)).arrayBuffer())}function GA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=Qe.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function Zpe(e){let t=await Vr(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return GA(n)}function eg(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function D1(e,t){let{manifestUri:n,modelBaseUri:a}=eg(e,t),r=await R1(n);return Ht.loadWeights(r,a)}function Jpe(e,t,n=!1){let{width:a,height:r}=n?Po(t):t;return e.width=a,e.height=r,{width:a,height:r}}var on=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ps)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ps))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=fn(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await D1(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=Qe.getEnv(),{manifestUri:a,modelBaseUri:r}=eg(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ht.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Ne))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Hn(e,t,n){return P(()=>{let a=_s(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=X(a,t.bias),a})}function tg(e,t,n=!1){return P(()=>{let a=Ke(n?X(Rt(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Hn(e,t.conv0,[2,2])),r=Hn(a,t.conv1,[1,1]),s=Ke(X(a,r)),i=Hn(s,t.conv2,[1,1]);return Ke(X(a,X(r,i)))})}function fd(e,t,n=!1,a=!0){return P(()=>{let r=Ke(n?X(Rt(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Hn(e,t.conv0,a?[2,2]:[1,1])),s=Hn(r,t.conv1,[1,1]),i=Ke(X(r,s)),o=Hn(i,t.conv2,[1,1]),l=Ke(X(r,X(s,o))),u=Hn(l,t.conv3,[1,1]);return Ke(X(r,X(s,X(o,u))))})}function Lo(e,t,n="same",a=!1){return P(()=>{let r=X(Rt(e,t.filters,[1,1],n),t.bias);return a?Ke(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function lp(e,t){return(n,a,r,s)=>{let i=Ma(e(n*a*r*r),[r,r,n,a]),o=je(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function ng(e,t){return(n,a,r)=>{let s=Fa(e(n*a),[n,a]),i=je(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var gd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function up(e,t){return(n,a,r)=>{let s=Ma(e(9*n),[3,3,n,1]),i=Ma(e(n*a),[1,1,n,a]),o=je(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new gd(s,i,o)}}function pp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new gd(n,a,r)}}function sa(e,t){return(n,a,r)=>{let s=e[n];if(!_o(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function ag(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function HA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=ag(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function rg(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function sg(e,t){let n=sa(e,t),a=rg(n),r=pp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function qA(e){let t=[],{extractDenseBlock4Params:n}=sg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var cp=class extends on{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=fd(s,n.dense0,!0);return i=fd(i,n.dense1),i=fd(i,n.dense2),i=fd(i,n.dense3),i=ba(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await bt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return qA(t)}extractParams(t){return HA(t)}};function yd(e,t){return P(()=>X(Re(e,t.weights),t.bias))}function jA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=ng(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function KA(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function ig(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var dp=class extends on{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof vr?this.faceFeatureExtractor.forwardInput(n):n;return yd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return jA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ig(n);return this.faceFeatureExtractor.loadFromWeightMap(a),KA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var M1=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Ur=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);M1.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return M1.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var bd=class extends dp{constructor(t=new cp){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Xa(this.runNet(t)))}async forward(t){return this.forwardInput(await bt(t))}async predictExpressions(t){let n=await bt(t),a=await this.forwardInput(n),r=await Promise.all(ut(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Ur(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function P1(e){return e.expressions instanceof Ur}function og(e,t){return{...e,...{expressions:t}}}function Qpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Ur?s:P1(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=xr(s)?s.detection.box.bottomLeft:a||new De(0,0);new Br(l.map(d=>`${d.expression} (${Eo(d.probability)})`),u).draw(e)})}function zo(e){return xr(e)&&e.landmarks instanceof ra&&e.unshiftedLandmarks instanceof ra&&e.alignedRect instanceof yt}function ece(e){let t=l=>l*180/Math.PI,n=(l,u)=>Math.sqrt((l._x-u._x)**2+(l._y-u._y)**2),a={roll:void 0,pitch:void 0,yaw:void 0},r=(l,u,p)=>{let d=Math.floor(l._x-u._x),c=Math.floor(u._x-p._x);return d-c},s=(l,u)=>{let p=Math.hypot(u._x-l._x,u._y-l._y),d=u._y-l._y,c=Math.asin(d/p),h=t(c),m=Math.floor(90-h),f=u._x-l._x<0?-1:1;return m*f},i=(l,u,p)=>{let d=n(l,p),c={_x:(l._x+p._x)/2,_y:(l._y+p._y)/2},h=n(u,c),m=Math.atan(h/d),f=Math.floor(t(m)),g=c._y-u._y<0?-1:1;return f*g};if(!e||!e._positions||e._positions.length!==68)return a;let o=e._positions;return a.roll=s(o[27],o[66]),a.pitch=i(o[14],o[30],o[2]),a.yaw=r(o[14],o[33],o[2]),a}function hp(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new yt(e.detection.score,r.rescale(s.reverse()),s),o=ece(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var lg=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},ug=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new lg(n)}draw(t){let n=Gn(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof Ro&&(n.strokeStyle=i,n.lineWidth=s,Lr(n,this.faceLandmarks.getJawOutline()),Lr(n,this.faceLandmarks.getLeftEyeBrow()),Lr(n,this.faceLandmarks.getRightEyeBrow()),Lr(n,this.faceLandmarks.getNose()),Lr(n,this.faceLandmarks.getLeftEye(),!0),Lr(n,this.faceLandmarks.getRightEye(),!0),Lr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function tce(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof ra?a:zo(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new ug(r).draw(e)})}var XA="1.7.8";function rce(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function YA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=rce(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};yr(t,0,1).forEach(y=>{h[`main_block_${y}`]=l(128,`middle_flow/main_block_${y}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function sce(e,t){let n=sa(e,t),a=rg(n),r=pp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function ZA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=sce(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};yr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function JA(e,t,n){return X(Rt(e,t.filters,n,"same"),t.bias)}function L1(e,t,n=!0){let a=n?Ke(e):e;return a=Hn(a,t.separable_conv0,[1,1]),a=Hn(Ke(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=X(a,JA(e,t.expansion_conv,[2,2])),a}function ice(e,t){let n=Hn(Ke(e),t.separable_conv0,[1,1]);return n=Hn(Ke(n),t.separable_conv1,[1,1]),n=Hn(Ke(n),t.separable_conv2,[1,1]),n=X(n,e),n}var pg=class extends on{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=ie(n.toBatchTensor(112,!0),"float32"),i=Ja(r,[122.782,117.001,104.298]).div(255),o=Ke(JA(i,a.entry_flow.conv_in,[2,2]));return o=L1(o,a.entry_flow.reduction_block_0,!1),o=L1(o,a.entry_flow.reduction_block_1),yr(this._numMainBlocks,0,1).forEach(l=>{o=ice(o,a.middle_flow[`main_block_${l}`])}),o=L1(o,a.exit_flow.reduction_block),o=Ke(Hn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await bt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return ZA(n,this._numMainBlocks)}extractParams(n){return YA(n,this._numMainBlocks)}};function QA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=ng(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function e$(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var cg=(n=>(n.FEMALE="female",n.MALE="male",n))(cg||{});var xd=class extends on{constructor(n=new pg(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof vr?this.faceFeatureExtractor.forwardInput(n):n,s=ba(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=yd(s,a.fc.age).as1D(),o=yd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Xa(r)}})}async forward(n){return this.forwardInput(await bt(n))}async predictAgeAndGender(n){let a=await bt(n),r=await this.forwardInput(a),s=ut(r.age),i=ut(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return QA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ig(n);return this.faceFeatureExtractor.loadFromWeightMap(a),e$(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var mp=class extends dp{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([bn([68],d,"float32"),bn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await bt(t))}async detectLandmarks(t){let n=await bt(t),a=P(()=>ut(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Xf(d)),u=o.filter((p,d)=>!Xf(d));return new Ro(Array(68).fill(0).map((p,d)=>new De(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var Wo=class extends mp{constructor(t=new cp){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function t$(e){let t=[],{extractDenseBlock3Params:n}=sg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function n$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=ag(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var dg=class extends on{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=tg(s,n.dense0,!0);return i=tg(i,n.dense1),i=tg(i,n.dense2),i=ba(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await bt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return t$(t)}extractParams(t){return n$(t)}};var vd=class extends mp{constructor(t=new dg){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var z1=class extends Wo{};function a$(e,t){return X(z(e,t.weights),t.biases)}function W1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=Rt(e,s,n,r);return o=X(o,i),o=a$(o,t.scale),a?Ke(o):o}function r$(e,t){return W1(e,t,[1,1],!0)}function B1(e,t){return W1(e,t,[1,1],!1)}function hg(e,t){return W1(e,t,[2,2],!0,"valid")}function oce(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(m1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee(Ma(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=je(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=je(e(o)),p=je(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function s$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=oce(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),y=s(589824,256,3,"conv256_down",!0),b=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(Fa(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:y,conv256_1:b,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function lce(e,t){let n=sa(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function i$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=lce(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),y=a("conv256_2"),b=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!h1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:y,conv256_down_out:b,fc:x};return An(e,t),{params:w,paramMappings:t}}function Qa(e,t){let n=r$(e,t.conv1);return n=B1(n,t.conv2),n=X(n,e),n=Ke(n),n}function wd(e,t){let n=hg(e,t.conv1);n=B1(n,t.conv2);let a=ba(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=X(a,n),n=Ke(n),n}var Bo=class extends on{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(150,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=hg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Qa(i,n.conv32_1),i=Qa(i,n.conv32_2),i=Qa(i,n.conv32_3),i=wd(i,n.conv64_down),i=Qa(i,n.conv64_1),i=Qa(i,n.conv64_2),i=Qa(i,n.conv64_3),i=wd(i,n.conv128_down),i=Qa(i,n.conv128_1),i=Qa(i,n.conv128_2),i=wd(i,n.conv256_down),i=Qa(i,n.conv256_1),i=Qa(i,n.conv256_2),i=wd(i,n.conv256_down_out);let o=i.mean([1,2]);return Re(o,n.fc)})}async forward(t){return this.forwardInput(await bt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await bt(t),a=P(()=>ut(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return i$(t)}extractParams(t){return s$(t)}};function uce(e){let t=new Bo;return t.extractWeights(e),t}function mg(e,t){return{...e,...{descriptor:t}}}function pce(e){return typeof e.age=="number"}function fg(e,t){return{...e,...{age:t}}}function cce(e){return(e.gender==="male"||e.gender==="female")&&np(e.genderProbability)}function gg(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function dce(e,t){function n(l,u){let p=Ma(e(9*l),[3,3,l,1]),d=je(e(l)),c=je(e(l)),h=je(e(l)),m=je(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Ma(e(l*u*p*p),[p,p,l,u]),m=je(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),y=s(512,512,"mobilenetv1/conv_9"),b=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:y,conv_10:b,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),y=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),b=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),$=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:y},box_predictor_1:{box_encoding_predictor:b,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:$},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function o$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=dce(n,t),i=r(),o=s(),u={extra_dim:Hc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function hce(e,t){let n=sa(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),y=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),b=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:y,batch_norm_variance:b},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function l$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=hce(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!zr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function La(e,t,n){return P(()=>{let a=Rt(e,t.filters,n,"same");return a=X(a,t.batch_norm_offset),tn(a,0,6)})}var mce=.0010000000474974513;function fce(e,t,n){return P(()=>{let a=Ns(e,t.filters,n,"same");return a=Ts(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,mce),tn(a,0,6)})}function gce(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function u$(e,t){return P(()=>{let n,a=La(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=gce(o);a=fce(a,s.depthwise_conv,l),a=La(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function yce(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),y=Math.min(o,d),b=Math.max(g-m,0)*Math.max(y-f,0);return b/(c+h-b)}function p$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=yce(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function bce(e){let t=ut(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[X(t[0],he(n[0],2)),X(t[1],he(n[1],2))];return{sizes:n,centers:a}}function xce(e,t){let{sizes:n,centers:a}=bce(e),r=ut(Ee(t,[1,0])),s=he(z(yn(he(r[2],5)),n[0]),2),i=X(z(he(r[0],10),n[0]),a[0]),o=he(z(yn(he(r[3],5)),n[1]),2),l=X(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),X(i,s),X(l,o)]),[1,0])}function c$(e,t,n){return P(()=>{let a=e.shape[0],r=xce(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=ha(Ve(t,[0,0,1],[-1,-1,-1])),i=Ve(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=ut(r),l=ut(i);return{boxes:o,scores:l}})}function Vo(e,t){return P(()=>{let n=e.shape[0],a=W(Lo(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(Lo(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function d$(e,t,n){return P(()=>{let a=La(e,n.conv_0,[1,1]),r=La(a,n.conv_1,[2,2]),s=La(r,n.conv_2,[1,1]),i=La(s,n.conv_3,[2,2]),o=La(i,n.conv_4,[1,1]),l=La(o,n.conv_5,[2,2]),u=La(l,n.conv_6,[1,1]),p=La(u,n.conv_7,[2,2]),d=Vo(t,n.box_predictor_0),c=Vo(e,n.box_predictor_1),h=Vo(r,n.box_predictor_2),m=Vo(i,n.box_predictor_3),f=Vo(l,n.box_predictor_4),g=Vo(p,n.box_predictor_5),y=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),b=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:y,classPredictions:b}})}var ka=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Rs=class extends on{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=u$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=d$(s.out,s.conv11,n.prediction_layer);return c$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await bt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new ka(n),s=await bt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,y[x][0]),Math.min(1,y[x][2])].map(E=>E*g),[T,C]=[Math.max(0,y[x][1]),Math.min(1,y[x][3])].map(E=>E*f);return new yt(p[x],new Fo(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),b}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return l$(t)}extractParams(t){return o$(t)}};function h$(e){let t=new Rs;return t.extractWeights(e),t}function vce(e){return h$(e)}var V1=class extends Rs{};var m$=.4,f$=[new De(.738768,.874946),new De(2.42204,2.65704),new De(4.30971,7.04493),new De(10.246,4.59428),new De(12.6868,11.8741)],g$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],y$=[117.001,114.697,97.404],b$="tiny_yolov2_model",x$="tiny_yolov2_separable_conv_model";var yg=e=>typeof e=="number";function U1(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!yg(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>yg(t.x)&&yg(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(yg)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function fp(e){return P(()=>{let t=z(e,xe(.10000000149011612));return X(Ke(pe(e,t)),t)})}function Gr(e,t){return P(()=>{let n=xa(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Rt(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=X(n,t.conv.bias),fp(n)})}function Hr(e,t){return P(()=>{let n=xa(e,[[0,0],[1,1],[1,1],[0,0]]);return n=_s(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=X(n,t.bias),fp(n)})}function wce(e,t){let n=lp(e,t);function a(i,o){let l=je(e(i)),u=je(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=up(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function v$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=wce(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,y,b,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),$=u(g,y,"conv5"),R=b?u(y,b,"conv6"):void 0,F=x?u(b,x,"conv7"):void 0,S=o(x||b||y,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,y,b,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),$=l(g,y,"conv5"),R=l(y,b,"conv6"),F=l(b,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function kce(e,t){let n=sa(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=pp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function w$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=kce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var er=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var G1=class extends on{constructor(n){super("TinyYolov2");U1(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Gr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Gr(r,a.conv6),r=Gr(r,a.conv7),Lo(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?fp(Lo(n,a.conv0,"valid",!1)):Hr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Hr(r,a.conv6):r,r=a.conv7?Hr(r,a.conv7):r,Lo(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=ie(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?Ja(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await bt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new er(a),i=await bt(n),o=await this.forwardInput(i,r),l=P(()=>ut(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(y=>y.box),c=p.map(y=>y.score),h=p.map(y=>y.classScore),m=p.map(y=>this.config.classes[y.label]);return x1(d.map(y=>y.rescale(r)),c,this.config.iouThreshold,!0).map(y=>new Wr(c[y],h[y],m[y],d[y],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return w$(n,this.config)}extractParams(n){let a=this.config.filterSizes||G1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return v$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let b=n.reshape([p,p,d,this.boxEncodingSize]),x=b.slice([0,0,0,0],[p,p,d,4]),w=b.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Xa(b.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):xe(0);return[x,w,I]}),f=[],g=await h.array(),y=await c.array();for(let b=0;br){let T=(x+pd(y[b][x][w][0]))/p*l,C=(b+pd(y[b][x][w][1]))/p*u,E=Math.exp(y[b][x][w][2])*this.config.anchors[w].x/p*l,$=Math.exp(y[b][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-$/2,S={row:b,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new $o(R,F,R+E,F+$),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Uo=G1;Uo.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Go=class extends Uo{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:m$,classes:["face"],...t?{anchors:g$,meanRgb:y$}:{anchors:f$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new yt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?x$:b$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function Ice(e,t=!0){let n=new Go(t);return n.extractWeights(e),n}var kd=class extends er{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var Ia=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ho(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>zo(l)?r(l):l.detection),i=a||(t instanceof Ne?await op(t,s):await ip(t,s)),o=await n(i);return i.forEach(l=>l instanceof Ne&&l.dispose()),o}async function gp(e,t,n,a,r){return Ho([e],t,async s=>n(s[0]),a,r)}var k$=.4,I$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],S$=[117.001,114.697,97.404];var qo=class extends Uo{constructor(){let t={withSeparableConvs:!0,iouThreshold:k$,classes:["face"],anchors:I$,meanRgb:S$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new yt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var et={ssdMobilenetv1:new Rs,tinyFaceDetector:new qo,tinyYolov2:new Go,faceLandmark68Net:new Wo,faceLandmark68TinyNet:new vd,faceRecognitionNet:new Bo,faceExpressionNet:new bd,ageGenderNet:new xd},T$=(e,t)=>et.ssdMobilenetv1.locateFaces(e,t),Sce=(e,t)=>et.tinyFaceDetector.locateFaces(e,t),Tce=(e,t)=>et.tinyYolov2.locateFaces(e,t),N$=e=>et.faceLandmark68Net.detectLandmarks(e),Nce=e=>et.faceLandmark68TinyNet.detectLandmarks(e),Cce=e=>et.faceRecognitionNet.computeFaceDescriptor(e),_ce=e=>et.faceExpressionNet.predictExpressions(e),Ece=e=>et.ageGenderNet.predictAgeAndGender(e),C$=e=>et.ssdMobilenetv1.load(e),Ace=e=>et.tinyFaceDetector.load(e),$ce=e=>et.tinyYolov2.load(e),Fce=e=>et.faceLandmark68Net.load(e),Rce=e=>et.faceLandmark68TinyNet.load(e),Dce=e=>et.faceRecognitionNet.load(e),Mce=e=>et.faceExpressionNet.load(e),Pce=e=>et.ageGenderNet.load(e),Oce=C$,Lce=T$,zce=N$;var bg=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},jo=class extends bg{async run(){let t=await this.parentTask,n=await Ho(t,this.input,async a=>Promise.all(a.map(r=>et.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>og(a,n[r]))}withAgeAndGender(){return new Xo(this,this.input)}},Ko=class extends bg{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>et.faceExpressionNet.predictExpressions(a),this.extractedFaces);return og(t,n)}withAgeAndGender(){return new Yo(this,this.input)}},Ds=class extends jo{withAgeAndGender(){return new Ps(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Ms=class extends Ko{withAgeAndGender(){return new Os(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var xg=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Xo=class extends xg{async run(){let t=await this.parentTask,n=await Ho(t,this.input,async a=>Promise.all(a.map(r=>et.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return fg(gg(a,i,o),s)})}withFaceExpressions(){return new jo(this,this.input)}},Yo=class extends xg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await gp(t,this.input,s=>et.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return fg(gg(t,a,r),n)}withFaceExpressions(){return new Ko(this,this.input)}},Ps=class extends Xo{withFaceExpressions(){return new Ds(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Os=class extends Yo{withFaceExpressions(){return new Ms(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var Id=class extends Ia{constructor(n,a){super();this.parentTask=n;this.input=a}},qr=class extends Id{async run(){let t=await this.parentTask;return(await Ho(t,this.input,a=>Promise.all(a.map(r=>et.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>mg(t[r],a))}withFaceExpressions(){return new Ds(this,this.input)}withAgeAndGender(){return new Ps(this,this.input)}},jr=class extends Id{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>et.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return mg(t,n)}withFaceExpressions(){return new Ms(this,this.input)}withAgeAndGender(){return new Os(this,this.input)}};var Sd=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?et.faceLandmark68TinyNet:et.faceLandmark68Net}},Td=class extends Sd{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Ne?await op(this.input,n):await ip(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Ne&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>hp(i,r[o]))}withFaceExpressions(){return new Ds(this,this.input)}withAgeAndGender(){return new Ps(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Nd=class extends Sd{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Ne?await op(this.input,[n]):await ip(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Ne&&s.dispose()),hp(t,r)}withFaceExpressions(){return new Ms(this,this.input)}withAgeAndGender(){return new Os(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var Cd=class extends Ia{constructor(n,a=new ka){super();this.input=n;this.options=a}},yp=class extends Cd{async run(){let{input:t,options:n}=this,a;if(n instanceof kd)a=et.tinyFaceDetector.locateFaces(t,n);else if(n instanceof ka)a=et.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof er)a=et.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Do({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new Td(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new jo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Xo(this.runAndExtendWithFaceDetections(),this.input)}},_d=class extends Cd{async run(){let t=await new yp(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Do({},n):void 0)})}withFaceLandmarks(t=!1){return new Nd(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Ko(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Yo(this.runAndExtendWithFaceDetection(),this.input)}};function Wce(e,t=new ka){return new _d(e,t)}function vg(e,t=new ka){return new yp(e,t)}async function _$(e,t){return vg(e,new ka(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Bce(e,t={}){return vg(e,new er(t)).withFaceLandmarks().withFaceDescriptors()}var Vce=_$;function H1(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var Ed=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof br)return i;if(i instanceof Float32Array)return new br(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new br(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>H1(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new ap(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>br.fromJSON(a));return new Ed(n,t.distanceThreshold)}};function Uce(e){let t=new qo;return t.extractWeights(e),t}function E$(e,t){let{width:n,height:a}=new xn(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>E$(r,{width:n,height:a}));if(zo(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return hp(Do(e,r),s)}return xr(e)?Do(e,e.detection.forSize(n,a)):e instanceof ra||e instanceof yt?e.forSize(n,a):e}var Gce=XA;return mF(Hce);})(); + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=v.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;FA(i,o,l,u,c,m,g);let y=t.readSync(f.dataId),b;switch(y[0]){case 0:{b=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=N.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:b=""}if(t.disposeData(f.dataId),b)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(b);return[d,h]}var Rue={kernelName:_u,backendName:"wasm",setupFunc:$ue,kernelFunc:Fue},RA;function DA(e){RA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function MA(e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),y=n.dataIdMap.get(g.dataId).id;RA(d,At[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Due(e){return MA(e,!0)}var Mue={kernelName:vc,backendName:"wasm",setupFunc:DA,kernelFunc:Due};function Pue(e){return MA(e,!1)}var Oue={kernelName:wc,backendName:"wasm",setupFunc:DA,kernelFunc:Pue};function Lue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=gi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var zue={kernelName:Cu,backendName:"wasm",kernelFunc:Lue},Wue=Ut(po),Bue=Ut(kc),Vue=!0,Uue=hn(mo,Vue),PA;function Gue(e){PA=e.wasm.cwrap(Is,null,["number","number","number","number"])}function Hue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return PA(i,r,At[s.dtype],l),o}var que={kernelName:Is,backendName:"wasm",setupFunc:Gue,kernelFunc:Hue},OA;function jue(e){OA=e.wasm.cwrap(Eu,null,["number","array","number","array","array","array","array","array","number","number"])}function Kue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=gi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,E=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),$=new Uint8Array(new Int32Array(b).buffer),R=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(w).buffer),S=new Uint8Array(new Int32Array(h).buffer),M=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),B=t.dataIdMap.get(T.dataId).id;OA(C,E,r.shape.length,$,R,F,S,M,h.length,B),I=Wn({inputs:{x:T},backend:t,attrs:{shape:m}}),t.disposeData(T.dataId)}return I}var Xue={kernelName:Eu,backendName:"wasm",setupFunc:jue,kernelFunc:Kue};function Yue(e){let{backend:t,inputs:n,attrs:a}=e,{data:r,dataSplits:s}=n,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:d}=a,c=t.readSync(r.dataId),h=t.readSync(s.dataId),[m,f]=G0(c,h,i,o,l,u,p,d),g=t.makeOutput([m.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=m;let b=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(b).set(f),[g,b]}var Zue={kernelName:Ic,backendName:"wasm",kernelFunc:Yue};function Jue(e){let{backend:t,inputs:n,attrs:a}=e,{input:r,delimiter:s}=n,{skipEmpty:i}=a,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,d]=H0(o,l[0],i),c=p.length,h=t.makeOutput([c,2],"int32");t.typedArrayFromHeap(h).set(u);let m=t.makeOutput([c],"string"),f=t.dataIdMap.get(m.dataId);f.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(d),[h,m,g]}var Que={kernelName:Sc,backendName:"wasm",kernelFunc:Jue};function epe(e){let{backend:t,inputs:n,attrs:a}=e,{input:r}=n,{numBuckets:s}=a,i=t.readSync(r.dataId),o=q0(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var tpe={kernelName:Tc,backendName:"wasm",kernelFunc:epe},npe=!0,ape=hn(fo,npe),LA;function rpe(e){LA=e.wasm.cwrap(co,null,["number","number","number","number"])}function spe(e){let{backend:t,inputs:n,attrs:a}=e,{axis:r,keepDims:s}=a,{x:i}=n,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:d,originalAxes:c,inputWasTransposed:h}=Fs(i,r,t),m=d;if(h){let x=t.dataIdMap.get(p.dataId).id;x!==o&&(u=p,l=x,m=N.getInnerMostAxes(m.length,u.shape.length))}N.assertAxesAreInnerMostDims("sum",m,u.shape.length);let[f,g]=N.computeOutAndReduceShapes(u.shape,m),y=v.sizeFromShape(g),b=t.makeOutput(f,u.dtype);if(v.sizeFromShape(u.shape)!==0){let x=t.dataIdMap.get(b.dataId).id;LA(l,y,At[b.dtype],x)}if(h&&t.disposeData(p.dataId),s){let x=N.expandShapeToKeepDim(b.shape,c);b.shape=x}return b}var ipe={kernelName:co,backendName:"wasm",setupFunc:rpe,kernelFunc:spe},ope=Ut(go),lpe=Ut(yo),zA;function upe(e){zA=e.wasm.cwrap(ks,null,["number","array","number","array","number","number"])}function ppe(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,s=n.dataIdMap.get(r.dataId).id,{reps:i}=a,o=new Array(r.shape.length);for(let c=0;c{let{x:a}=e,{k:r,sorted:s}=n,i=t.dataIdMap.get(a.dataId).id,o=new Uint8Array(new Int32Array(a.shape).buffer),l=a.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,a.dtype),p=t.dataIdMap.get(u.dataId).id,d=t.makeOutput(l,"int32"),c=t.dataIdMap.get(d.dataId).id;return WA(i,o,a.shape.length,At[a.dtype],r,s,p,c),[u,d]},mpe={kernelName:Au,backendName:"wasm",setupFunc:dpe,kernelFunc:hpe},BA;function fpe(e){BA=e.wasm.cwrap($u,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function gpe(e){let{backend:t,inputs:n,attrs:a}=e,{image:r,transforms:s}=n,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),b=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),x=t.makeOutput(g,r.dtype),w=t.dataIdMap.get(x.dataId).id,I=t.dataIdMap.get(r.dataId).id,T=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,E;switch(o){case"constant":E=1;break;case"reflect":E=2;break;case"wrap":E=3;break;case"nearest":E=4;break;default:E=1;break}return BA(I,T,s.shape[0]>1,p,m,f,h,c,d,y,r.shape.length-1,b,g.length-1,C,E,l,w),x}var ype={kernelName:$u,backendName:"wasm",setupFunc:fpe,kernelFunc:gpe};function bpe(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:m,shape:l}))}var xpe={kernelName:Fu,backendName:"wasm",kernelFunc:bpe};function vpe(e){let{inputs:{x:t},backend:n}=e,a=n.makeOutput(t.shape,t.dtype);return n.typedArrayFromHeap(a).fill(0),a}var wpe={kernelName:Ru,backendName:"wasm",kernelFunc:vpe},kpe=[Kse,Xse,Zse,eie,lie,cie,mie,yie,wie,Cie,_ie,Eie,Fie,Rie,Pie,zie,Wie,Bie,Gie,jie,Yie,Qie,noe,aoe,soe,ioe,ooe,loe,coe,doe,moe,yoe,voe,Ioe,Noe,Eoe,$oe,Roe,tie,Doe,Ooe,zoe,Boe,Voe,Goe,Hoe,joe,Xoe,Joe,ele,ale,ile,ule,cle,mle,gle,yle,vle,Ile,Nle,_le,$le,Rle,Mle,vA,zle,Vle,Hle,jle,Xle,Yle,Zle,Jle,bie,tue,rue,oue,pue,cue,due,fue,bue,wue,kue,Tie,Tue,Cue,Aue,Rue,Mue,Oue,zue,Wue,Bue,Uue,que,Xue,Zue,Que,tpe,ape,ipe,ope,lpe,cpe,mpe,ype,sie,xpe,wpe];for(let e of kpe)Cc(e);var kx=H();kx.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});kx.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(kx.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var RI=bs(MF()),Ipe=bs(PF()),DI=bs(OF()),MI=RI.default||RI,Spe=DI.default||DI,VA=class extends uc{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(UA),Ix=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new im(this,Ea())}write(e,t,n){let a={id:this.dataIdNextNumber++};return this.move(a,e,t,n,1),a}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,n,a,r){let s=this.dataIdNextNumber++;if(a==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:n,dtype:a,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(n),o=i*v.bytesPerElement(a),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:n,dtype:a,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,n){let{memoryOffset:a,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(n==null||n>=i.length)?i:i.slice(t,n);t=t||0,n=n||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(a+t*o,a+n*o);return Cpe(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let n=this.dataIdMap.get(e);if(n.refCount--,!t&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,n){let a;if(n==null)a=this.write(null,e,t);else{let r=this.dataIdNextNumber++;a={id:r},this.dataIdMap.set(a,{id:r,memoryOffset:n,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,n)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:n}){let a=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(n),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,r,s);case"int32":return new Int32Array(a,r,s);case"bool":return new Uint8Array(a,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function Tpe(e){return(t,n)=>(v.fetch(e,{credentials:"same-origin"}).then(a=>{a.ok||t.env.a(`failed to load wasm binary file at '${e}'`),a.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{n(s.instance,s.module)})})}),{})}function PI(e,t,n){if(rm!=null)return rm;let a="tfjs-backend-wasm.wasm";return e&&t?a="tfjs-backend-wasm-threaded-simd.wasm":e&&(a="tfjs-backend-wasm-simd.wasm"),Up!=null&&Up[a]!=null?Up[a]:n+a}async function Npe(){let[e,t]=await Promise.all([H().getAsync("WASM_HAS_SIMD_SUPPORT"),H().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((n,a)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=Ipe.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?PI(e,t,Wp!=null?Wp:l):l+o},d1&&(r.instantiateWasm=Tpe(PI(e,t,Wp!=null?Wp:"")));let s=!1;r.onAbort=()=>{s||Gp||(Gp=!0,a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&rm==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+MI.toString()],{type:"text/javascript"}),i=MI(r)):i=Spe(r),i.then(o=>{s=!0,Gp=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},n({wasm:o})}).catch(a)})}function Cpe(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var _pe=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],rm=null,Wp=null,Up={},Gp=!1,d1=!1;function Epe(e,t=!1){if(Px("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");rm=e,d1=t}function Ape(e,t=!1){if(Gp)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Wp=e;else{Up=e;let n=_pe.filter(a=>Up[a]==null);if(n.length>0)throw new Error(`There were no entries found for the following binaries: ${n.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}d1=t}var UA=-1,Ix=-1;function $pe(e){UA=e}function Fpe(){if(Ix===-1)throw new Error("WASM backend not initialized.");return Ix}var Rpe="4.2.0",Dpe=2;Gm("wasm",async()=>{let{wasm:e}=await Npe();return new VA(e)},Dpe);var OI="4.2.0",Mpe="4.2.0",Ppe="4.2.0",Ope="4.2.0",Lpe="4.2.0",zpe={tfjs:OI,"tfjs-core":OI,"tfjs-converter":Mpe,"tfjs-backend-cpu":Ppe,"tfjs-backend-webgl":Ope,"tfjs-backend-wasm":Lpe};var O1={};rh(O1,{AnchorPosition:()=>_1,DrawBox:()=>dd,DrawBoxOptions:()=>Jf,DrawFaceLandmarks:()=>ug,DrawFaceLandmarksOptions:()=>lg,DrawTextField:()=>Br,DrawTextFieldOptions:()=>sp,drawContour:()=>Lr,drawDetections:()=>Kpe,drawFaceExpressions:()=>Qpe,drawFaceLandmarks:()=>tce});function Lr(e,t,n=!1){if(e.beginPath(),t.slice(1).forEach(({x:a,y:r},s)=>{let i=t[s];e.moveTo(i.x,i.y),e.lineTo(a,r)}),n){let a=t[t.length-1],r=t[0];if(!a||!r)return;e.moveTo(a.x,a.y),e.lineTo(r.x,r.y)}e.stroke()}var g1={};rh(g1,{computeReshapedDimensions:()=>f1,getCenterPoint:()=>Ao,isDimensions:()=>Yf,isEven:()=>Xf,isFloat:()=>m1,isTensor:()=>_o,isTensor1D:()=>Wpe,isTensor2D:()=>h1,isTensor3D:()=>zr,isTensor4D:()=>wa,isValidNumber:()=>Za,isValidProbablitiy:()=>np,range:()=>yr,round:()=>Eo});var xn=class{constructor(t,n){if(!Za(t)||!Za(n))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:n})}`);this._width=t,this._height=n}get width(){return this._width}get height(){return this._height}reverse(){return new xn(1/this.width,1/this.height)}};function _o(e,t){return e instanceof Ne&&e.shape.length===t}function Wpe(e){return _o(e,1)}function h1(e){return _o(e,2)}function zr(e){return _o(e,3)}function wa(e){return _o(e,4)}function m1(e){return e%1!==0}function Xf(e){return e%2===0}function Eo(e,t=2){let n=10**t;return Math.floor(e*n)/n}function Yf(e){return e&&e.width&&e.height}function f1({width:e,height:t},n){let a=n/Math.max(t,e);return new xn(Math.round(e*a),Math.round(t*a))}function Ao(e){return e.reduce((t,n)=>t.add(n),new De(0,0)).div(new De(e.length,e.length))}function yr(e,t,n){return Array(e).fill(0).map((a,r)=>t+r*n)}function Za(e){return!!e&&e!==1/0&&e!==-1/0&&!Number.isNaN(e)||e===0}function np(e){return Za(e)&&e>=0&&e<=1}var De=class{constructor(t,n){this._x=t,this._y=n}get x(){return this._x}get y(){return this._y}add(t){return new De(this.x+t.x,this.y+t.y)}sub(t){return new De(this.x-t.x,this.y-t.y)}mul(t){return new De(this.x*t.x,this.y*t.y)}div(t){return new De(this.x/t.x,this.y/t.y)}abs(){return new De(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new De(Math.floor(this.x),Math.floor(this.y))}};var st=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(Za)}static assertIsValidBox(t,n,a=!1){if(!st.isRect(t))throw new Error(`${n} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!a&&(t.width<0||t.height<0))throw new Error(`${n} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,n=!0){let a=t||{},r=[a.left,a.top,a.right,a.bottom].every(Za),s=[a.x,a.y,a.width,a.height].every(Za);if(!s&&!r)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(a)}`);let[i,o,l,u]=s?[a.x,a.y,a.width,a.height]:[a.left,a.top,a.right-a.left,a.bottom-a.top];st.assertIsValidBox({x:i,y:o,width:l,height:u},"Box.constructor",n),this._x=i,this._y=o,this._width=l,this._height=u}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new De(this.left,this.top)}get topRight(){return new De(this.right,this.top)}get bottomLeft(){return new De(this.left,this.bottom)}get bottomRight(){return new De(this.right,this.bottom)}round(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.round(s));return new st({x:t,y:n,width:a,height:r})}floor(){let[t,n,a,r]=[this.x,this.y,this.width,this.height].map(s=>Math.floor(s));return new st({x:t,y:n,width:a,height:r})}toSquare(){let{x:t,y:n,width:a,height:r}=this,s=Math.abs(a-r);return an&&(o=-d+n+a,d=n),c>t&&(l=-c+t+r,c=t),u<1&&(l=2-u,u=1),p<1&&(l=2-p,p=1),{dy:i,edy:l,dx:s,edx:o,y:p,ey:c,x:u,ex:d,w:a,h:r}}calibrate(t){return new st({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var $o=class extends st{constructor(t,n,a,r,s=!1){super({left:t,top:n,right:a,bottom:r},s)}};var Wr=class{constructor(t,n,a,r,s){this._imageDims=new xn(s.width,s.height),this._score=t,this._classScore=n,this._className=a,this._box=new st(r).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new st(this._box).rescale(this.imageDims.reverse())}forSize(t,n){return new Wr(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:n})}};var yt=class extends Wr{constructor(t,n,a){super(t,t,"",n,a)}forSize(t,n){let{score:a,relativeBox:r,imageDims:s}=super.forSize(t,n);return new yt(a,r,s)}};function y1(e,t,n=!0){let a=Math.max(0,Math.min(e.right,t.right)-Math.max(e.left,t.left)),r=Math.max(0,Math.min(e.bottom,t.bottom)-Math.max(e.top,t.top)),s=a*r;return n?s/(e.area+t.area-s):s/Math.min(e.area,t.area)}function b1(e){let t=e.map(o=>o.x),n=e.map(o=>o.y),a=t.reduce((o,l)=>lloo({score:i,boxIndex:o})).sort((i,o)=>i.score-o.score).map(i=>i.boxIndex),s=[];for(;r.length>0;){let i=r.pop();s.push(i);let o=r,l=[];for(let u=0;ul[p]<=n)}return s}function Ja(e,t){return P(()=>{let[n,a,r]=t,s=bn([...e.shape.slice(0,3),1],n,"float32"),i=bn([...e.shape.slice(0,3),1],a,"float32"),o=bn([...e.shape.slice(0,3),1],r,"float32"),l=Ze([s,i,o],3);return pe(e,l)})}function v1(e,t=!1){return P(()=>{let[n,a]=e.shape.slice(1);if(n===a)return e;let r=Math.abs(n-a),s=Math.round(r*(t?.5:1)),i=n>a?2:1,o=c=>{let h=e.shape.slice();return h[i]=c,bn(h,0,"float32")},l=o(s),u=r-l.shape[i],d=[t&&u?o(u):null,e,l].filter(c=>!!c).map(c=>ie(c,"float32"));return Ze(d,i)})}function Bpe(e){let t=e.slice();for(let n=t.length-1;n>0;n--){let a=Math.floor(Math.random()*(n+1)),r=t[n];t[n]=t[a],t[a]=r}return t}function pd(e){return 1/(1+Math.exp(-e))}function Vpe(e){return Math.log(e/(1-e))}var Fo=class extends st{constructor(t,n,a,r,s=!1){super({x:t,y:n,width:a,height:r},s)}};var Upe=.5,Gpe=.43,Hpe=.45,ra=class{constructor(t,n,a=new De(0,0)){let{width:r,height:s}=n;this._imgDims=new xn(r,s),this._shift=a,this._positions=t.map(i=>i.mul(new De(r,s)).add(a))}get shift(){return new De(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new De(this.imageWidth,this.imageHeight)))}forSize(t,n){return new this.constructor(this.relativePositions,{width:t,height:n})}shiftBy(t,n){return new this.constructor(this.relativePositions,this._imgDims,new De(t,n))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,n={}){if(t){let s=t instanceof yt?t.box.floor():new st(t);return this.shiftBy(s.x,s.y).align(null,n)}let{useDlibAlignment:a,minBoxPadding:r}={useDlibAlignment:!1,minBoxPadding:.2,...n};return a?this.alignDlib():this.alignMinBbox(r)}alignDlib(){let t=this.getRefPointsForAlignment(),[n,a,r]=t,s=d=>r.sub(d).magnitude(),i=(s(n)+s(a))/2,o=Math.floor(i/Hpe),l=Ao(t),u=Math.floor(Math.max(0,l.x-Upe*o)),p=Math.floor(Math.max(0,l.y-Gpe*o));return new Fo(u,p,Math.min(o,this.imageWidth+u),Math.min(o,this.imageHeight+p))}alignMinBbox(t){let n=b1(this.positions);return n.pad(n.width*t,n.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var w1=class extends ra{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],Ao([t[3],t[4]])]}};var Ro=class extends ra{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(Ao)}};var ap=class{constructor(t,n){this._label=t,this._distance=n}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Eo(this.distance)})`:""}`}};var rp=class extends st{constructor(n,a){super(n);this._label=a}static assertIsValidLabeledBox(n,a){if(st.assertIsValidBox(n,a),!Za(n.label))throw new Error(`${a} - expected property label (${n.label}) to be a number`)}get label(){return this._label}};var br=class{constructor(t,n){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(n)||n.some(a=>!(a instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=n}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let n=t.descriptors.map(a=>new Float32Array(a));return new br(t.label,n)}};var k1=class extends rp{constructor(n,a,r,s){super(n,a);this._score=r,this._classScore=s}static assertIsValidPredictedBox(n,a){if(rp.assertIsValidLabeledBox(n,a),!np(n.score)||!np(n.classScore))throw new Error(`${a} - expected properties score (${n.score}) and (${n.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function xr(e){return e.detection instanceof yt}function Do(e,t){return{...e,...{detection:t}}}function I1(){let e=window.fetch;if(!e)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:e,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function cd(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function Zf(e){let t="";if(!e&&cd())try{e=dF("fs")}catch(a){t=a.toString()}return{readFile:e?a=>new Promise((r,s)=>{e.readFile(a,(i,o)=>i?s(i):r(o))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function S1(){let e=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,n=global.Video||global.HTMLVideoElement,a=()=>{if(e)return new e;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},r=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},s=()=>{if(n)return new n;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},i=global.fetch,o=Zf();return{Canvas:e||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:a,createImageElement:r,createVideoElement:s,fetch:i,...o}}function T1(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var sn;function qpe(){if(!sn)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return sn}function N1(e){sn=e}function C1(){return T1()?N1(I1()):cd()?N1(S1()):null}function jpe(e){if(sn||C1(),!sn)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=sn.Canvas,Image:n=sn.Image}=e;sn.Canvas=t,sn.Image=n,sn.createCanvasElement=e.createCanvasElement||(()=>new t),sn.createImageElement=e.createImageElement||(()=>new n),sn.ImageData=e.ImageData||sn.ImageData,sn.Video=e.Video||sn.Video,sn.fetch=e.fetch||sn.fetch,sn.readFile=e.readFile||sn.readFile}var Qe={getEnv:qpe,setEnv:N1,initialize:C1,createBrowserEnv:I1,createFileSystem:Zf,createNodejsEnv:S1,monkeyPatch:jpe,isBrowser:T1,isNodejs:cd};C1();function Mo(e){return!Qe.isNodejs()&&typeof e=="string"?document.getElementById(e):e}function Gn(e){let{Canvas:t,CanvasRenderingContext2D:n}=Qe.getEnv();if(e instanceof n)return e;let a=Mo(e);if(!(a instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let r=a.getContext("2d");if(!r)throw new Error("resolveContext2d - canvas 2d context is null");return r}var _1=(r=>(r.TOP_LEFT="TOP_LEFT",r.TOP_RIGHT="TOP_RIGHT",r.BOTTOM_LEFT="BOTTOM_LEFT",r.BOTTOM_RIGHT="BOTTOM_RIGHT",r))(_1||{}),sp=class{constructor(t={}){let{anchorPosition:n,backgroundColor:a,fontColor:r,fontSize:s,fontStyle:i,padding:o}=t;this.anchorPosition=n||"TOP_LEFT",this.backgroundColor=a||"rgba(0, 0, 0, 0.5)",this.fontColor=r||"rgba(255, 255, 255, 1)",this.fontSize=s||14,this.fontStyle=i||"Georgia",this.padding=o||4}},Br=class{constructor(t,n,a={}){this.text=typeof t=="string"?[t]:t instanceof Br?t.text:t,this.anchor=n,this.options=new sp(a)}measureWidth(t){let{padding:n}=this.options;return this.text.map(a=>t.measureText(a).width).reduce((a,r)=>a{let m=l+d.x,f=l+d.y+(h+1)*i;a.fillText(c,m,f)})}};var Jf=class{constructor(t={}){let{boxColor:n,lineWidth:a,label:r,drawLabelOptions:s}=t;this.boxColor=n||"rgba(0, 0, 255, 1)",this.lineWidth=a||2,this.label=r;let i={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new sp({...i,...s})}},dd=class{constructor(t,n={}){this.box=new st(t),this.options=new Jf(n)}draw(t){let n=Gn(t),{boxColor:a,lineWidth:r}=this.options,{x:s,y:i,width:o,height:l}=this.box;n.strokeStyle=a,n.lineWidth=r,n.strokeRect(s,i,o,l);let{label:u}=this.options;u&&new Br([u],{x:s-r/2,y:i},this.options.drawLabelOptions).draw(t)}};function Kpe(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof yt?a.score:xr(a)?a.detection.score:void 0,s=a instanceof yt?a.box:xr(a)?a.detection.box:new st(a),i=r?`${Eo(r)}`:void 0;new dd(s,{label:i}).draw(e)})}function hd(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t&&e.complete||e instanceof n&&e.readyState>=3}function E1(e){return new Promise((t,n)=>{(e instanceof Qe.getEnv().Canvas||hd(e))&&t(null);function a(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),n(s))}function r(s){s.currentTarget&&(s.currentTarget.removeEventListener("load",r),s.currentTarget.removeEventListener("error",a),t(s))}e.addEventListener("load",r),e.addEventListener("error",a)})}function A1(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToImage - expected buf to be of type: Blob"));let a=new FileReader;a.onload=()=>{typeof a.result!="string"&&n(new Error("bufferToImage - expected reader.result to be a string, in onload"));let r=Qe.getEnv().createImageElement();r.onload=()=>t(r),r.onerror=n,r.src=a.result},a.onerror=n,a.readAsDataURL(e)})}function Po(e){let{Image:t,Video:n}=Qe.getEnv();return e instanceof t?new xn(e.naturalWidth,e.naturalHeight):e instanceof n?new xn(e.videoWidth,e.videoHeight):new xn(e.width,e.height)}function Oo({width:e,height:t}){let{createCanvasElement:n}=Qe.getEnv(),a=n();return a.width=e,a.height=t,a}function md(e,t){let{ImageData:n}=Qe.getEnv();if(!(e instanceof n)&&!hd(e))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:a,height:r}=t||Po(e),s=Oo({width:a,height:r});return e instanceof n?Gn(s).putImageData(e,0,0):Gn(s).drawImage(e,0,0,a,r),s}async function $1(e,t){let n=t||Qe.getEnv().createCanvasElement(),[a,r,s]=e.shape.slice(wa(e)?1:0),i=P(()=>e.as3D(a,r,s).toInt());return await wo.toPixels(i,n),i.dispose(),n}function Qf(e){let{Image:t,Canvas:n,Video:a}=Qe.getEnv();return e instanceof t||e instanceof n||e instanceof a}function F1(e,t,n=!1){let{Image:a,Canvas:r}=Qe.getEnv();if(!(e instanceof a||e instanceof r))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Oo({width:1,height:1});let s=Po(e),i=t/Math.max(s.height,s.width),o=i*s.width,l=i*s.height,u=Oo({width:t,height:t}),p=e instanceof r?e:md(e),d=Math.abs(o-l)/2,c=n&&o0&&p.height>0&&Gn(u).drawImage(p,c,h,o,l),u}var vr=class{constructor(t,n=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=n,this._batchSize=t.length,t.forEach((a,r)=>{if(zr(a)){this._imageTensors[r]=a,this._inputDimensions[r]=a.shape;return}if(wa(a)){let i=a.shape[0];if(i!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${i} passed, but not supported in input array`);this._imageTensors[r]=a,this._inputDimensions[r]=a.shape.slice(1);return}let s=a instanceof Qe.getEnv().Canvas?a:md(a);this._canvases[r]=s,this._inputDimensions[r]=[s.height,s.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return yr(this.batchSize,0,1).map((t,n)=>this.getReshapedInputDimensions(n))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let n=this.getInputWidth(t),a=this.getInputHeight(t);return f1({width:n,height:a},this.inputSize)}toBatchTensor(t,n=!0){return this._inputSize=t,P(()=>{let a=yr(this.batchSize,0,1).map(s=>{let i=this.getInput(s);if(i instanceof Ne){let o=wa(i)?i:Qt(i);return o=v1(o,n),(o.shape[1]!==t||o.shape[2]!==t)&&(o=$a.resizeBilinear(o,[t,t],!1,!1)),o.as3D(t,t,3)}if(i instanceof Qe.getEnv().Canvas)return wo.fromPixels(F1(i,t,n));throw new Error(`toBatchTensor - at batchIdx ${s}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${i}`)});return Ft(a.map(s=>ie(s,"float32"))).as4D(this.batchSize,t,t,3)})}};async function bt(e){if(e instanceof vr)return e;let t=Array.isArray(e)?e:[e];if(!t.length)throw new Error("toNetInput - empty array passed as input");let n=r=>Array.isArray(e)?` at input index ${r}:`:"",a=t.map(Mo);return a.forEach((r,s)=>{if(!Qf(r)&&!zr(r)&&!wa(r))throw typeof t[s]=="string"?new Error(`toNetInput -${n(s)} string passed, but could not resolve HTMLElement for element id ${t[s]}`):new Error(`toNetInput -${n(s)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(wa(r)){let i=r.shape[0];if(i!==1)throw new Error(`toNetInput -${n(s)} tf.Tensor4D with batchSize ${i} passed, but not supported in input array`)}}),await Promise.all(a.map(r=>Qf(r)&&E1(r))),new vr(a,Array.isArray(e))}async function ip(e,t){let{Canvas:n}=Qe.getEnv(),a=e;if(!(e instanceof n)){let i=await bt(e);if(i.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let o=i.getInput(0);a=o instanceof n?o:await $1(o)}let r=Gn(a);return t.map(i=>i instanceof yt?i.forSize(a.width,a.height).box.floor():i).map(i=>i.clipAtImageBorders(a.width,a.height)).map(({x:i,y:o,width:l,height:u})=>{let p=Oo({width:l,height:u});return l>0&&u>0&&Gn(p).putImageData(r.getImageData(i,o,l,u),0,0),p})}async function op(e,t){if(!zr(e)&&!wa(e))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(wa(e)&&e.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return P(()=>{let[n,a,r]=e.shape.slice(wa(e)?1:0);return t.map(o=>o instanceof yt?o.forSize(a,n).box:o).map(o=>o.clipAtImageBorders(a,n)).filter(o=>o.width>0&&o.height>0).map(({x:o,y:l,width:u,height:p})=>xo(e.as3D(n,a,r),[l,o,0],[p,u,r]))})}async function Vr(e,t){let{fetch:n}=Qe.getEnv(),a=await n(e,t);if(!(a.status<400))throw new Error(`failed to fetch: (${a.status}) ${a.statusText}, from url: ${a.url}`);return a}async function Xpe(e){let t=await Vr(e),n=await t.blob();if(!n.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${n.type}, for url: ${t.url}`);return A1(n)}async function R1(e){return(await Vr(e)).json()}async function Ype(e){return new Float32Array(await(await Vr(e)).arrayBuffer())}function GA(e){return new Promise((t,n)=>{e instanceof Blob||n(new Error("bufferToVideo - expected buf to be of type: Blob"));let a=Qe.getEnv().createVideoElement();a.oncanplay=()=>t(a),a.onerror=n,a.playsInline=!0,a.muted=!0,a.src=URL.createObjectURL(e),a.play()})}async function Zpe(e){let t=await Vr(e),n=await t.blob();if(!n.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${n.type}, for url: ${t.url}`);return GA(n)}function eg(e,t){let n=`${t}-weights_manifest.json`;if(!e)return{modelBaseUri:"",manifestUri:n};if(e==="/")return{modelBaseUri:"/",manifestUri:`/${n}`};let a=e.startsWith("http://")?"http://":e.startsWith("https://")?"https://":"";e=e.replace(a,"");let r=e.split("/").filter(o=>o),s=e.endsWith(".json")?r[r.length-1]:n,i=a+(e.endsWith(".json")?r.slice(0,r.length-1):r).join("/");return i=e.startsWith("/")?`/${i}`:i,{modelBaseUri:i,manifestUri:i==="/"?`/${s}`:`${i}/${s}`}}async function D1(e,t){let{manifestUri:n,modelBaseUri:a}=eg(e,t),r=await R1(n);return Ht.loadWeights(r,a)}function Jpe(e,t,n=!1){let{width:a,height:r}=n?Po(t):t;return e.width=a,e.height=r,{width:a,height:r}}var on=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:n,objProp:a}=this.traversePropertyPath(t);return n[a]}reassignParamFromPath(t,n){let{obj:a,objProp:r}=this.traversePropertyPath(t);a[r].dispose(),a[r]=n}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof ps)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof ps))}variable(){this.getFrozenParams().forEach(({path:t,tensor:n})=>{this.reassignParamFromPath(t,n.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:n})=>{let a=fn(n.dataSync());n.dispose(),this.reassignParamFromPath(t,a)})}dispose(t=!0){this.getParamList().forEach(n=>{if(t&&n.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${n.path}`);n.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,n)=>t.concat(n)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let n=await D1(t,this.getDefaultModelName());this.loadFromWeightMap(n)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:n}=Qe.getEnv(),{manifestUri:a,modelBaseUri:r}=eg(t,this.getDefaultModelName()),s=u=>Promise.all(u.map(p=>n(p).then(d=>d.buffer))),i=Ht.weightsLoaderFactory(s),o=JSON.parse((await n(a)).toString()),l=await i(o,r);this.loadFromWeightMap(l)}loadFromWeightMap(t){let{paramMappings:n,params:a}=this.extractParamsFromWeightMap(t);this._paramMappings=n,this._params=a}extractWeights(t){let{paramMappings:n,params:a}=this.extractParams(t);this._paramMappings=n,this._params=a}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let n=t.split("/").reduce((s,i)=>{if(!s.nextObj.hasOwnProperty(i))throw new Error(`traversePropertyPath - object does not have property ${i}, for path ${t}`);return{obj:s.nextObj,objProp:i,nextObj:s.nextObj[i]}},{nextObj:this.params}),{obj:a,objProp:r}=n;if(!a||!r||!(a[r]instanceof Ne))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:a,objProp:r}}};function Hn(e,t,n){return P(()=>{let a=_s(e,t.depthwise_filter,t.pointwise_filter,n,"same");return a=X(a,t.bias),a})}function tg(e,t,n=!1){return P(()=>{let a=Ke(n?X(Rt(e,t.conv0.filters,[2,2],"same"),t.conv0.bias):Hn(e,t.conv0,[2,2])),r=Hn(a,t.conv1,[1,1]),s=Ke(X(a,r)),i=Hn(s,t.conv2,[1,1]);return Ke(X(a,X(r,i)))})}function fd(e,t,n=!1,a=!0){return P(()=>{let r=Ke(n?X(Rt(e,t.conv0.filters,a?[2,2]:[1,1],"same"),t.conv0.bias):Hn(e,t.conv0,a?[2,2]:[1,1])),s=Hn(r,t.conv1,[1,1]),i=Ke(X(r,s)),o=Hn(i,t.conv2,[1,1]),l=Ke(X(r,X(s,o))),u=Hn(l,t.conv3,[1,1]);return Ke(X(r,X(s,X(o,u))))})}function Lo(e,t,n="same",a=!1){return P(()=>{let r=X(Rt(e,t.filters,[1,1],n),t.bias);return a?Ke(r):r})}function An(e,t){Object.keys(e).forEach(n=>{t.some(a=>a.originalPath===n)||e[n].dispose()})}function lp(e,t){return(n,a,r,s)=>{let i=Ma(e(n*a*r*r),[r,r,n,a]),o=je(e(a));return t.push({paramPath:`${s}/filters`},{paramPath:`${s}/bias`}),{filters:i,bias:o}}}function ng(e,t){return(n,a,r)=>{let s=Fa(e(n*a),[n,a]),i=je(e(a));return t.push({paramPath:`${r}/weights`},{paramPath:`${r}/bias`}),{weights:s,bias:i}}}var gd=class{constructor(t,n,a){this.depthwise_filter=t;this.pointwise_filter=n;this.bias=a}};function up(e,t){return(n,a,r)=>{let s=Ma(e(9*n),[3,3,n,1]),i=Ma(e(n*a),[1,1,n,a]),o=je(e(a));return t.push({paramPath:`${r}/depthwise_filter`},{paramPath:`${r}/pointwise_filter`},{paramPath:`${r}/bias`}),new gd(s,i,o)}}function pp(e){return t=>{let n=e(`${t}/depthwise_filter`,4),a=e(`${t}/pointwise_filter`,4),r=e(`${t}/bias`,1);return new gd(n,a,r)}}function sa(e,t){return(n,a,r)=>{let s=e[n];if(!_o(s,a))throw new Error(`expected weightMap[${n}] to be a Tensor${a}D, instead have ${s}`);return t.push({originalPath:n,paramPath:r||n}),s}}function $n(e){let t=e;function n(r){let s=t.slice(0,r);return t=t.slice(r),s}function a(){return t}return{extractWeights:n,getRemainingWeights:a}}function ag(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l,u=!1){let p=u?n(i,o,3,`${l}/conv0`):a(i,o,`${l}/conv0`),d=a(o,o,`${l}/conv1`),c=a(o,o,`${l}/conv2`);return{conv0:p,conv1:d,conv2:c}}function s(i,o,l,u=!1){let{conv0:p,conv1:d,conv2:c}=r(i,o,l,u),h=a(o,o,`${l}/conv3`);return{conv0:p,conv1:d,conv2:c,conv3:h}}return{extractDenseBlock3Params:r,extractDenseBlock4Params:s}}function HA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock4Params:r}=ag(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2"),l=r(128,256,"dense3");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o,dense3:l}}}function rg(e){return t=>{let n=e(`${t}/filters`,4),a=e(`${t}/bias`,1);return{filters:n,bias:a}}}function sg(e,t){let n=sa(e,t),a=rg(n),r=pp(n);function s(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`);return{conv0:u,conv1:p,conv2:d}}function i(o,l=!1){let u=l?a(`${o}/conv0`):r(`${o}/conv0`),p=r(`${o}/conv1`),d=r(`${o}/conv2`),c=r(`${o}/conv3`);return{conv0:u,conv1:p,conv2:d,conv3:c}}return{extractDenseBlock3Params:s,extractDenseBlock4Params:i}}function qA(e){let t=[],{extractDenseBlock4Params:n}=sg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2"),dense3:n("dense3")};return An(e,t),{params:a,paramMappings:t}}var cp=class extends on{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=fd(s,n.dense0,!0);return i=fd(i,n.dense1),i=fd(i,n.dense2),i=fd(i,n.dense3),i=ba(i,[7,7],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await bt(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return qA(t)}extractParams(t){return HA(t)}};function yd(e,t){return P(()=>X(Re(e,t.weights),t.bias))}function jA(e,t,n){let a=[],{extractWeights:r,getRemainingWeights:s}=$n(e),o=ng(r,a)(t,n,"fc");if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{paramMappings:a,params:{fc:o}}}function KA(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:a("fc")};return An(e,t),{params:r,paramMappings:t}}function ig(e){let t={},n={};return Object.keys(e).forEach(a=>{let r=a.startsWith("fc")?n:t;r[a]=e[a]}),{featureExtractorMap:t,classifierMap:n}}var dp=class extends on{constructor(n,a){super(n);this._faceFeatureExtractor=a}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof vr?this.faceFeatureExtractor.forwardInput(n):n;return yd(r.as2D(r.shape[0],-1),a.fc)})}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return jA(n,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ig(n);return this.faceFeatureExtractor.loadFromWeightMap(a),KA(r)}extractParams(n){let a=this.getClassifierChannelsIn(),r=this.getClassifierChannelsOut(),s=r*a+r,i=n.slice(0,n.length-s),o=n.slice(n.length-s);return this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(o)}};var M1=["neutral","happy","sad","angry","fearful","disgusted","surprised"],Ur=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);M1.forEach((n,a)=>{this[n]=t[a]})}asSortedArray(){return M1.map(t=>({expression:t,probability:this[t]})).sort((t,n)=>n.probability-t.probability)}};var bd=class extends dp{constructor(t=new cp){super("FaceExpressionNet",t)}forwardInput(t){return P(()=>Xa(this.runNet(t)))}async forward(t){return this.forwardInput(await bt(t))}async predictExpressions(t){let n=await bt(t),a=await this.forwardInput(n),r=await Promise.all(ut(a).map(async i=>{let o=i.dataSync();return i.dispose(),o}));a.dispose();let s=r.map(i=>new Ur(i));return n.isBatchInput?s:s[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function P1(e){return e.expressions instanceof Ur}function og(e,t){return{...e,...{expressions:t}}}function Qpe(e,t,n=.1,a){(Array.isArray(t)?t:[t]).forEach(s=>{let i=s instanceof Ur?s:P1(s)?s.expressions:void 0;if(!i)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let l=i.asSortedArray().filter(d=>d.probability>n),u=xr(s)?s.detection.box.bottomLeft:a||new De(0,0);new Br(l.map(d=>`${d.expression} (${Eo(d.probability)})`),u).draw(e)})}function zo(e){return xr(e)&&e.landmarks instanceof ra&&e.unshiftedLandmarks instanceof ra&&e.alignedRect instanceof yt}function ece(e){let t=l=>l*180/Math.PI,n=(l,u)=>Math.sqrt((l._x-u._x)**2+(l._y-u._y)**2),a={roll:void 0,pitch:void 0,yaw:void 0},r=(l,u,p)=>{let d=Math.floor(l._x-u._x),c=Math.floor(u._x-p._x);return d-c},s=(l,u)=>{let p=Math.hypot(u._x-l._x,u._y-l._y),d=u._y-l._y,c=Math.asin(d/p),h=t(c),m=Math.floor(90-h),f=u._x-l._x<0?-1:1;return m*f},i=(l,u,p)=>{let d=n(l,p),c={_x:(l._x+p._x)/2,_y:(l._y+p._y)/2},h=n(u,c),m=Math.atan(h/d),f=Math.floor(t(m)),g=c._y-u._y<0?-1:1;return f*g};if(!e||!e._positions||e._positions.length!==68)return a;let o=e._positions;return a.roll=s(o[27],o[66]),a.pitch=i(o[14],o[30],o[2]),a.yaw=r(o[14],o[33],o[2]),a}function hp(e,t){let{box:n}=e.detection,a=t.shiftBy(n.x,n.y),r=a.align(),{imageDims:s}=e.detection,i=new yt(e.detection.score,r.rescale(s.reverse()),s),o=ece(t);return{...e,...{landmarks:a,unshiftedLandmarks:t,alignedRect:i,angle:o}}}var lg=class{constructor(t={}){let{drawLines:n=!0,drawPoints:a=!0,lineWidth:r,lineColor:s,pointSize:i,pointColor:o}=t;this.drawLines=n,this.drawPoints=a,this.lineWidth=r||1,this.pointSize=i||2,this.lineColor=s||"rgba(0, 255, 255, 1)",this.pointColor=o||"rgba(255, 0, 255, 1)"}},ug=class{constructor(t,n={}){this.faceLandmarks=t,this.options=new lg(n)}draw(t){let n=Gn(t),{drawLines:a,drawPoints:r,lineWidth:s,lineColor:i,pointSize:o,pointColor:l}=this.options;if(a&&this.faceLandmarks instanceof Ro&&(n.strokeStyle=i,n.lineWidth=s,Lr(n,this.faceLandmarks.getJawOutline()),Lr(n,this.faceLandmarks.getLeftEyeBrow()),Lr(n,this.faceLandmarks.getRightEyeBrow()),Lr(n,this.faceLandmarks.getNose()),Lr(n,this.faceLandmarks.getLeftEye(),!0),Lr(n,this.faceLandmarks.getRightEye(),!0),Lr(n,this.faceLandmarks.getMouth(),!0)),r){n.strokeStyle=l,n.fillStyle=l;let u=p=>{n.beginPath(),n.arc(p.x,p.y,o,0,2*Math.PI),n.fill()};this.faceLandmarks.positions.forEach(u)}}};function tce(e,t){(Array.isArray(t)?t:[t]).forEach(a=>{let r=a instanceof ra?a:zo(a)?a.landmarks:void 0;if(!r)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new ug(r).draw(e)})}var XA="1.7.8";function rce(e,t){let n=lp(e,t),a=up(e,t);function r(i,o,l){let u=a(i,o,`${l}/separable_conv0`),p=a(o,o,`${l}/separable_conv1`),d=n(i,o,1,`${l}/expansion_conv`);return{separable_conv0:u,separable_conv1:p,expansion_conv:d}}function s(i,o){let l=a(i,i,`${o}/separable_conv0`),u=a(i,i,`${o}/separable_conv1`),p=a(i,i,`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:n,extractSeparableConvParams:a,extractReductionBlockParams:r,extractMainBlockParams:s}}function YA(e,t){let n=[],{extractWeights:a,getRemainingWeights:r}=$n(e),{extractConvParams:s,extractSeparableConvParams:i,extractReductionBlockParams:o,extractMainBlockParams:l}=rce(a,n),u=s(3,32,3,"entry_flow/conv_in"),p=o(32,64,"entry_flow/reduction_block_0"),d=o(64,128,"entry_flow/reduction_block_1"),c={conv_in:u,reduction_block_0:p,reduction_block_1:d},h={};yr(t,0,1).forEach(y=>{h[`main_block_${y}`]=l(128,`middle_flow/main_block_${y}`)});let m=o(128,256,"exit_flow/reduction_block"),f=i(256,512,"exit_flow/separable_conv"),g={reduction_block:m,separable_conv:f};if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:n,params:{entry_flow:c,middle_flow:h,exit_flow:g}}}function sce(e,t){let n=sa(e,t),a=rg(n),r=pp(n);function s(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=a(`${o}/expansion_conv`);return{separable_conv0:l,separable_conv1:u,expansion_conv:p}}function i(o){let l=r(`${o}/separable_conv0`),u=r(`${o}/separable_conv1`),p=r(`${o}/separable_conv2`);return{separable_conv0:l,separable_conv1:u,separable_conv2:p}}return{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}}function ZA(e,t){let n=[],{extractConvParams:a,extractSeparableConvParams:r,extractReductionBlockParams:s,extractMainBlockParams:i}=sce(e,n),o=a("entry_flow/conv_in"),l=s("entry_flow/reduction_block_0"),u=s("entry_flow/reduction_block_1"),p={conv_in:o,reduction_block_0:l,reduction_block_1:u},d={};yr(t,0,1).forEach(f=>{d[`main_block_${f}`]=i(`middle_flow/main_block_${f}`)});let c=s("exit_flow/reduction_block"),h=r("exit_flow/separable_conv"),m={reduction_block:c,separable_conv:h};return An(e,n),{params:{entry_flow:p,middle_flow:d,exit_flow:m},paramMappings:n}}function JA(e,t,n){return X(Rt(e,t.filters,n,"same"),t.bias)}function L1(e,t,n=!0){let a=n?Ke(e):e;return a=Hn(a,t.separable_conv0,[1,1]),a=Hn(Ke(a),t.separable_conv1,[1,1]),a=Dt(a,[3,3],[2,2],"same"),a=X(a,JA(e,t.expansion_conv,[2,2])),a}function ice(e,t){let n=Hn(Ke(e),t.separable_conv0,[1,1]);return n=Hn(Ke(n),t.separable_conv1,[1,1]),n=Hn(Ke(n),t.separable_conv2,[1,1]),n=X(n,e),n}var pg=class extends on{constructor(n){super("TinyXception");this._numMainBlocks=n}forwardInput(n){let{params:a}=this;if(!a)throw new Error("TinyXception - load model before inference");return P(()=>{let r=ie(n.toBatchTensor(112,!0),"float32"),i=Ja(r,[122.782,117.001,104.298]).div(255),o=Ke(JA(i,a.entry_flow.conv_in,[2,2]));return o=L1(o,a.entry_flow.reduction_block_0,!1),o=L1(o,a.entry_flow.reduction_block_1),yr(this._numMainBlocks,0,1).forEach(l=>{o=ice(o,a.middle_flow[`main_block_${l}`])}),o=L1(o,a.exit_flow.reduction_block),o=Ke(Hn(o,a.exit_flow.separable_conv,[1,1])),o})}async forward(n){return this.forwardInput(await bt(n))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(n){return ZA(n,this._numMainBlocks)}extractParams(n){return YA(n,this._numMainBlocks)}};function QA(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),r=ng(n,t),s=r(512,1,"fc/age"),i=r(512,2,"fc/gender");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{fc:{age:s,gender:i}}}}function e$(e){let t=[],n=sa(e,t);function a(s){let i=n(`${s}/weights`,2),o=n(`${s}/bias`,1);return{weights:i,bias:o}}let r={fc:{age:a("fc/age"),gender:a("fc/gender")}};return An(e,t),{params:r,paramMappings:t}}var cg=(n=>(n.FEMALE="female",n.MALE="male",n))(cg||{});var xd=class extends on{constructor(n=new pg(2)){super("AgeGenderNet");this._faceFeatureExtractor=n}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(n){let{params:a}=this;if(!a)throw new Error(`${this._name} - load model before inference`);return P(()=>{let r=n instanceof vr?this.faceFeatureExtractor.forwardInput(n):n,s=ba(r,[7,7],[2,2],"valid").as2D(r.shape[0],-1),i=yd(s,a.fc.age).as1D(),o=yd(s,a.fc.gender);return{age:i,gender:o}})}forwardInput(n){return P(()=>{let{age:a,gender:r}=this.runNet(n);return{age:a,gender:Xa(r)}})}async forward(n){return this.forwardInput(await bt(n))}async predictAgeAndGender(n){let a=await bt(n),r=await this.forwardInput(a),s=ut(r.age),i=ut(r.gender),o=s.map((u,p)=>({ageTensor:u,genderTensor:i[p]})),l=await Promise.all(o.map(async({ageTensor:u,genderTensor:p})=>{let d=u.dataSync()[0],c=p.dataSync()[0],h=c>.5,m=h?"male":"female",f=h?c:1-c;return u.dispose(),p.dispose(),{age:d,gender:m,genderProbability:f}}));return r.age.dispose(),r.gender.dispose(),a.isBatchInput?l:l[0]}getDefaultModelName(){return"age_gender_model"}dispose(n=!0){this.faceFeatureExtractor.dispose(n),super.dispose(n)}loadClassifierParams(n){let{params:a,paramMappings:r}=this.extractClassifierParams(n);this._params=a,this._paramMappings=r}extractClassifierParams(n){return QA(n)}extractParamsFromWeightMap(n){let{featureExtractorMap:a,classifierMap:r}=ig(n);return this.faceFeatureExtractor.loadFromWeightMap(a),e$(r)}extractParams(n){let r=n.slice(0,n.length-1539),s=n.slice(n.length-1539);return this.faceFeatureExtractor.extractWeights(r),this.extractClassifierParams(s)}};var mp=class extends dp{postProcess(t,n,a){let r=a.map(({width:i,height:o})=>{let l=n/Math.max(o,i);return{width:i*l,height:o*l}}),s=r.length;return P(()=>{let i=(d,c)=>Ft([bn([68],d,"float32"),bn([68],c,"float32")],1).as2D(1,136).as1D(),o=(d,c)=>{let{width:h,height:m}=r[d];return c(h,m)?Math.abs(h-m)/2:0},l=d=>o(d,(c,h)=>co(d,(c,h)=>hi(l(c),u(c))))).div(Ft(Array.from(Array(s),(d,c)=>i(r[c].width,r[c].height))))})}forwardInput(t){return P(()=>{let n=this.runNet(t);return this.postProcess(n,t.inputSize,t.inputDimensions.map(([a,r])=>({height:a,width:r})))})}async forward(t){return this.forwardInput(await bt(t))}async detectLandmarks(t){let n=await bt(t),a=P(()=>ut(this.forwardInput(n))),r=await Promise.all(a.map(async(s,i)=>{let o=Array.from(s.dataSync()),l=o.filter((p,d)=>Xf(d)),u=o.filter((p,d)=>!Xf(d));return new Ro(Array(68).fill(0).map((p,d)=>new De(l[d],u[d])),{height:n.getInputHeight(i),width:n.getInputWidth(i)})}));return a.forEach(s=>s.dispose()),n.isBatchInput?r:r[0]}getClassifierChannelsOut(){return 136}};var Wo=class extends mp{constructor(t=new cp){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};function t$(e){let t=[],{extractDenseBlock3Params:n}=sg(e,t),a={dense0:n("dense0",!0),dense1:n("dense1"),dense2:n("dense2")};return An(e,t),{params:a,paramMappings:t}}function n$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractDenseBlock3Params:r}=ag(n,t),s=r(3,32,"dense0",!0),i=r(32,64,"dense1"),o=r(64,128,"dense2");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:t,params:{dense0:s,dense1:i,dense2:o}}}var dg=class extends on{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("TinyFaceFeatureExtractor - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(112,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=tg(s,n.dense0,!0);return i=tg(i,n.dense1),i=tg(i,n.dense2),i=ba(i,[14,14],[2,2],"valid"),i})}async forward(t){return this.forwardInput(await bt(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return t$(t)}extractParams(t){return n$(t)}};var vd=class extends mp{constructor(t=new dg){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var z1=class extends Wo{};function a$(e,t){return X(z(e,t.weights),t.biases)}function W1(e,t,n,a,r="same"){let{filters:s,bias:i}=t.conv,o=Rt(e,s,n,r);return o=X(o,i),o=a$(o,t.scale),a?Ke(o):o}function r$(e,t){return W1(e,t,[1,1],!0)}function B1(e,t){return W1(e,t,[1,1],!1)}function hg(e,t){return W1(e,t,[2,2],!0,"valid")}function oce(e,t){function n(o,l,u){let p=e(o),d=p.length/(l*u*u);if(m1(d))throw new Error(`depth has to be an integer: ${d}, weights.length: ${p.length}, numFilters: ${l}, filterSize: ${u}`);return P(()=>Ee(Ma(p,[l,d,u,u]),[2,3,1,0]))}function a(o,l,u,p){let d=n(o,l,u),c=je(e(l));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:d,bias:c}}function r(o,l){let u=je(e(o)),p=je(e(o));return t.push({paramPath:`${l}/weights`},{paramPath:`${l}/biases`}),{weights:u,biases:p}}function s(o,l,u,p){let d=a(o,l,u,`${p}/conv`),c=r(l,`${p}/scale`);return{conv:d,scale:c}}function i(o,l,u,p,d=!1){let c=s((d?.5:1)*o,l,u,`${p}/conv1`),h=s(o,l,u,`${p}/conv2`);return{conv1:c,conv2:h}}return{extractConvLayerParams:s,extractResidualLayerParams:i}}function s$(e){let{extractWeights:t,getRemainingWeights:n}=$n(e),a=[],{extractConvLayerParams:r,extractResidualLayerParams:s}=oce(t,a),i=r(4704,32,7,"conv32_down"),o=s(9216,32,3,"conv32_1"),l=s(9216,32,3,"conv32_2"),u=s(9216,32,3,"conv32_3"),p=s(36864,64,3,"conv64_down",!0),d=s(36864,64,3,"conv64_1"),c=s(36864,64,3,"conv64_2"),h=s(36864,64,3,"conv64_3"),m=s(147456,128,3,"conv128_down",!0),f=s(147456,128,3,"conv128_1"),g=s(147456,128,3,"conv128_2"),y=s(589824,256,3,"conv256_down",!0),b=s(589824,256,3,"conv256_1"),x=s(589824,256,3,"conv256_2"),w=s(589824,256,3,"conv256_down_out"),I=P(()=>Ee(Fa(t(256*128),[128,256]),[1,0]));if(a.push({paramPath:"fc"}),n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{params:{conv32_down:i,conv32_1:o,conv32_2:l,conv32_3:u,conv64_down:p,conv64_1:d,conv64_2:c,conv64_3:h,conv128_down:m,conv128_1:f,conv128_2:g,conv256_down:y,conv256_1:b,conv256_2:x,conv256_down_out:w,fc:I},paramMappings:a}}function lce(e,t){let n=sa(e,t);function a(i){let o=n(`${i}/scale/weights`,1),l=n(`${i}/scale/biases`,1);return{weights:o,biases:l}}function r(i){let o=n(`${i}/conv/filters`,4),l=n(`${i}/conv/bias`,1),u=a(i);return{conv:{filters:o,bias:l},scale:u}}function s(i){return{conv1:r(`${i}/conv1`),conv2:r(`${i}/conv2`)}}return{extractConvLayerParams:r,extractResidualLayerParams:s}}function i$(e){let t=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=lce(e,t),r=n("conv32_down"),s=a("conv32_1"),i=a("conv32_2"),o=a("conv32_3"),l=a("conv64_down"),u=a("conv64_1"),p=a("conv64_2"),d=a("conv64_3"),c=a("conv128_down"),h=a("conv128_1"),m=a("conv128_2"),f=a("conv256_down"),g=a("conv256_1"),y=a("conv256_2"),b=a("conv256_down_out"),{fc:x}=e;if(t.push({originalPath:"fc",paramPath:"fc"}),!h1(x))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${x}`);let w={conv32_down:r,conv32_1:s,conv32_2:i,conv32_3:o,conv64_down:l,conv64_1:u,conv64_2:p,conv64_3:d,conv128_down:c,conv128_1:h,conv128_2:m,conv256_down:f,conv256_1:g,conv256_2:y,conv256_down_out:b,fc:x};return An(e,t),{params:w,paramMappings:t}}function Qa(e,t){let n=r$(e,t.conv1);return n=B1(n,t.conv2),n=X(n,e),n=Ke(n),n}function wd(e,t){let n=hg(e,t.conv1);n=B1(n,t.conv2);let a=ba(e,2,2,"valid"),r=It(a.shape),s=a.shape[3]!==n.shape[3];if(a.shape[1]!==n.shape[1]||a.shape[2]!==n.shape[2]){let o=[...n.shape];o[1]=1;let l=It(o);n=Ze([n,l],1);let u=[...n.shape];u[2]=1;let p=It(u);n=Ze([n,p],2)}return a=s?Ze([a,r],3):a,n=X(a,n),n=Ke(n),n}var Bo=class extends on{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("FaceRecognitionNet - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(150,!0),"float32"),s=Ja(a,[122.782,117.001,104.298]).div(255),i=hg(s,n.conv32_down);i=Dt(i,3,2,"valid"),i=Qa(i,n.conv32_1),i=Qa(i,n.conv32_2),i=Qa(i,n.conv32_3),i=wd(i,n.conv64_down),i=Qa(i,n.conv64_1),i=Qa(i,n.conv64_2),i=Qa(i,n.conv64_3),i=wd(i,n.conv128_down),i=Qa(i,n.conv128_1),i=Qa(i,n.conv128_2),i=wd(i,n.conv256_down),i=Qa(i,n.conv256_1),i=Qa(i,n.conv256_2),i=wd(i,n.conv256_down_out);let o=i.mean([1,2]);return Re(o,n.fc)})}async forward(t){return this.forwardInput(await bt(t))}async computeFaceDescriptor(t){var s;if((s=t==null?void 0:t.shape)!=null&&s.some(i=>i<=0))return new Float32Array(128);let n=await bt(t),a=P(()=>ut(this.forwardInput(n))),r=await Promise.all(a.map(i=>i.data()));return a.forEach(i=>i.dispose()),n.isBatchInput?r:r[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return i$(t)}extractParams(t){return s$(t)}};function uce(e){let t=new Bo;return t.extractWeights(e),t}function mg(e,t){return{...e,...{descriptor:t}}}function pce(e){return typeof e.age=="number"}function fg(e,t){return{...e,...{age:t}}}function cce(e){return(e.gender==="male"||e.gender==="female")&&np(e.genderProbability)}function gg(e,t,n){return{...e,...{gender:t,genderProbability:n}}}function dce(e,t){function n(l,u){let p=Ma(e(9*l),[3,3,l,1]),d=je(e(l)),c=je(e(l)),h=je(e(l)),m=je(e(l));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/batch_norm_scale`},{paramPath:`${u}/batch_norm_offset`},{paramPath:`${u}/batch_norm_mean`},{paramPath:`${u}/batch_norm_variance`}),{filters:p,batch_norm_scale:d,batch_norm_offset:c,batch_norm_mean:h,batch_norm_variance:m}}function a(l,u,p,d,c){let h=Ma(e(l*u*p*p),[p,p,l,u]),m=je(e(u));return t.push({paramPath:`${d}/filters`},{paramPath:`${d}/${c?"batch_norm_offset":"bias"}`}),{filters:h,bias:m}}function r(l,u,p,d){let{filters:c,bias:h}=a(l,u,p,d,!0);return{filters:c,batch_norm_offset:h}}function s(l,u,p){let d=n(l,`${p}/depthwise_conv`),c=r(l,u,1,`${p}/pointwise_conv`);return{depthwise_conv:d,pointwise_conv:c}}function i(){let l=r(3,32,3,"mobilenetv1/conv_0"),u=s(32,64,"mobilenetv1/conv_1"),p=s(64,128,"mobilenetv1/conv_2"),d=s(128,128,"mobilenetv1/conv_3"),c=s(128,256,"mobilenetv1/conv_4"),h=s(256,256,"mobilenetv1/conv_5"),m=s(256,512,"mobilenetv1/conv_6"),f=s(512,512,"mobilenetv1/conv_7"),g=s(512,512,"mobilenetv1/conv_8"),y=s(512,512,"mobilenetv1/conv_9"),b=s(512,512,"mobilenetv1/conv_10"),x=s(512,512,"mobilenetv1/conv_11"),w=s(512,1024,"mobilenetv1/conv_12"),I=s(1024,1024,"mobilenetv1/conv_13");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,conv_8:g,conv_9:y,conv_10:b,conv_11:x,conv_12:w,conv_13:I}}function o(){let l=r(1024,256,1,"prediction_layer/conv_0"),u=r(256,512,3,"prediction_layer/conv_1"),p=r(512,128,1,"prediction_layer/conv_2"),d=r(128,256,3,"prediction_layer/conv_3"),c=r(256,128,1,"prediction_layer/conv_4"),h=r(128,256,3,"prediction_layer/conv_5"),m=r(256,64,1,"prediction_layer/conv_6"),f=r(64,128,3,"prediction_layer/conv_7"),g=a(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),y=a(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),b=a(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),x=a(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),w=a(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),I=a(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),T=a(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),C=a(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),E=a(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),$=a(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),R=a(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),F=a(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:l,conv_1:u,conv_2:p,conv_3:d,conv_4:c,conv_5:h,conv_6:m,conv_7:f,box_predictor_0:{box_encoding_predictor:g,class_predictor:y},box_predictor_1:{box_encoding_predictor:b,class_predictor:x},box_predictor_2:{box_encoding_predictor:w,class_predictor:I},box_predictor_3:{box_encoding_predictor:T,class_predictor:C},box_predictor_4:{box_encoding_predictor:E,class_predictor:$},box_predictor_5:{box_encoding_predictor:R,class_predictor:F}}}return{extractMobilenetV1Params:i,extractPredictionLayerParams:o}}function o$(e){let t=[],{extractWeights:n,getRemainingWeights:a}=$n(e),{extractMobilenetV1Params:r,extractPredictionLayerParams:s}=dce(n,t),i=r(),o=s(),u={extra_dim:Hc(n(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:{mobilenetv1:i,prediction_layer:o,output_layer:u},paramMappings:t}}function hce(e,t){let n=sa(e,t);function a(u,p,d){let c=n(`${u}/Conv2d_${p}_pointwise/weights`,4,`${d}/filters`),h=n(`${u}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${d}/batch_norm_offset`);return{filters:c,batch_norm_offset:h}}function r(u){let p=`mobilenetv1/conv_${u}`,d=`MobilenetV1/Conv2d_${u}_depthwise`,c=`${p}/depthwise_conv`,h=`${p}/pointwise_conv`,m=n(`${d}/depthwise_weights`,4,`${c}/filters`),f=n(`${d}/BatchNorm/gamma`,1,`${c}/batch_norm_scale`),g=n(`${d}/BatchNorm/beta`,1,`${c}/batch_norm_offset`),y=n(`${d}/BatchNorm/moving_mean`,1,`${c}/batch_norm_mean`),b=n(`${d}/BatchNorm/moving_variance`,1,`${c}/batch_norm_variance`);return{depthwise_conv:{filters:m,batch_norm_scale:f,batch_norm_offset:g,batch_norm_mean:y,batch_norm_variance:b},pointwise_conv:a("MobilenetV1",u,h)}}function s(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:r(1),conv_2:r(2),conv_3:r(3),conv_4:r(4),conv_5:r(5),conv_6:r(6),conv_7:r(7),conv_8:r(8),conv_9:r(9),conv_10:r(10),conv_11:r(11),conv_12:r(12),conv_13:r(13)}}function i(u,p){let d=n(`${u}/weights`,4,`${p}/filters`),c=n(`${u}/biases`,1,`${p}/bias`);return{filters:d,bias:c}}function o(u){let p=i(`Prediction/BoxPredictor_${u}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${u}/box_encoding_predictor`),d=i(`Prediction/BoxPredictor_${u}/ClassPredictor`,`prediction_layer/box_predictor_${u}/class_predictor`);return{box_encoding_predictor:p,class_predictor:d}}function l(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:l}}function l$(e){let t=[],{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=hce(e,t),r=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!zr(r))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${r}`);let s={mobilenetv1:n(),prediction_layer:a(),output_layer:{extra_dim:r}};return An(e,t),{params:s,paramMappings:t}}function La(e,t,n){return P(()=>{let a=Rt(e,t.filters,n,"same");return a=X(a,t.batch_norm_offset),tn(a,0,6)})}var mce=.0010000000474974513;function fce(e,t,n){return P(()=>{let a=Ns(e,t.filters,n,"same");return a=Ts(a,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,mce),tn(a,0,6)})}function gce(e){return[2,4,6,12].some(t=>t===e)?[2,2]:[1,1]}function u$(e,t){return P(()=>{let n,a=La(e,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((s,i)=>{let o=i+1,l=gce(o);a=fce(a,s.depthwise_conv,l),a=La(a,s.pointwise_conv,[1,1]),o===11&&(n=a)}),n===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:a,conv11:n}})}function yce(e,t,n){let a=e.arraySync(),r=Math.min(a[t][0],a[t][2]),s=Math.min(a[t][1],a[t][3]),i=Math.max(a[t][0],a[t][2]),o=Math.max(a[t][1],a[t][3]),l=Math.min(a[n][0],a[n][2]),u=Math.min(a[n][1],a[n][3]),p=Math.max(a[n][0],a[n][2]),d=Math.max(a[n][1],a[n][3]),c=(i-r)*(o-s),h=(p-l)*(d-u);if(c<=0||h<=0)return 0;let m=Math.max(r,l),f=Math.max(s,u),g=Math.min(i,p),y=Math.min(o,d),b=Math.max(g-m,0)*Math.max(y-f,0);return b/(c+h-b)}function p$(e,t,n,a,r){let s=e.shape[0],i=Math.min(n,s),o=t.map((p,d)=>({score:p,boxIndex:d})).filter(p=>p.score>r).sort((p,d)=>d.score-p.score),l=p=>p<=a?1:0,u=[];return o.forEach(p=>{if(u.length>=i)return;let d=p.score;for(let c=u.length-1;c>=0;--c){let h=yce(e,p.boxIndex,u[c]);if(h!==0&&(p.score*=l(h),p.score<=r))break}d===p.score&&u.push(p.boxIndex)}),u}function bce(e){let t=ut(Ee(e,[1,0])),n=[pe(t[2],t[0]),pe(t[3],t[1])],a=[X(t[0],he(n[0],2)),X(t[1],he(n[1],2))];return{sizes:n,centers:a}}function xce(e,t){let{sizes:n,centers:a}=bce(e),r=ut(Ee(t,[1,0])),s=he(z(yn(he(r[2],5)),n[0]),2),i=X(z(he(r[0],10),n[0]),a[0]),o=he(z(yn(he(r[3],5)),n[1]),2),l=X(z(he(r[1],10),n[1]),a[1]);return Ee(Ft([pe(i,s),pe(l,o),X(i,s),X(l,o)]),[1,0])}function c$(e,t,n){return P(()=>{let a=e.shape[0],r=xce(W(Ln(n.extra_dim,[a,1,1]),[-1,4]),W(e,[-1,4]));r=W(r,[a,r.shape[0]/a,4]);let s=ha(Ve(t,[0,0,1],[-1,-1,-1])),i=Ve(s,[0,0,0],[-1,-1,1]);i=W(i,[a,i.shape[1]]);let o=ut(r),l=ut(i);return{boxes:o,scores:l}})}function Vo(e,t){return P(()=>{let n=e.shape[0],a=W(Lo(e,t.box_encoding_predictor),[n,-1,1,4]),r=W(Lo(e,t.class_predictor),[n,-1,3]);return{boxPredictionEncoding:a,classPrediction:r}})}function d$(e,t,n){return P(()=>{let a=La(e,n.conv_0,[1,1]),r=La(a,n.conv_1,[2,2]),s=La(r,n.conv_2,[1,1]),i=La(s,n.conv_3,[2,2]),o=La(i,n.conv_4,[1,1]),l=La(o,n.conv_5,[2,2]),u=La(l,n.conv_6,[1,1]),p=La(u,n.conv_7,[2,2]),d=Vo(t,n.box_predictor_0),c=Vo(e,n.box_predictor_1),h=Vo(r,n.box_predictor_2),m=Vo(i,n.box_predictor_3),f=Vo(l,n.box_predictor_4),g=Vo(p,n.box_predictor_5),y=Ze([d.boxPredictionEncoding,c.boxPredictionEncoding,h.boxPredictionEncoding,m.boxPredictionEncoding,f.boxPredictionEncoding,g.boxPredictionEncoding],1),b=Ze([d.classPrediction,c.classPrediction,h.classPrediction,m.classPrediction,f.classPrediction,g.classPrediction],1);return{boxPredictions:y,classPredictions:b}})}var ka=class{constructor({minConfidence:t,maxResults:n}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=n||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var Rs=class extends on{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:n}=this;if(!n)throw new Error("SsdMobilenetv1 - load model before inference");return P(()=>{let a=ie(t.toBatchTensor(512,!1),"float32"),r=pe(he(a,127.5),1),s=u$(r,n.mobilenetv1),{boxPredictions:i,classPredictions:o}=d$(s.out,s.conv11,n.prediction_layer);return c$(i,o,n.output_layer)})}async forward(t){return this.forwardInput(await bt(t))}async locateFaces(t,n={}){let{maxResults:a,minConfidence:r}=new ka(n),s=await bt(t),{boxes:i,scores:o}=this.forwardInput(s),l=i[0],u=o[0];for(let x=1;x{let[w,I]=[Math.max(0,y[x][0]),Math.min(1,y[x][2])].map(E=>E*g),[T,C]=[Math.max(0,y[x][1]),Math.min(1,y[x][3])].map(E=>E*f);return new yt(p[x],new Fo(T,w,C-T,I-w),{height:s.getInputHeight(0),width:s.getInputWidth(0)})});return l.dispose(),u.dispose(),b}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return l$(t)}extractParams(t){return o$(t)}};function h$(e){let t=new Rs;return t.extractWeights(e),t}function vce(e){return h$(e)}var V1=class extends Rs{};var m$=.4,f$=[new De(.738768,.874946),new De(2.42204,2.65704),new De(4.30971,7.04493),new De(10.246,4.59428),new De(12.6868,11.8741)],g$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],y$=[117.001,114.697,97.404],b$="tiny_yolov2_model",x$="tiny_yolov2_separable_conv_model";var yg=e=>typeof e=="number";function U1(e){if(!e)throw new Error(`invalid config: ${e}`);if(typeof e.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${e.withSeparableConvs}`);if(!yg(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${e.iouThreshold}`);if(!Array.isArray(e.classes)||!e.classes.length||!e.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(e.classes)}`);if(!Array.isArray(e.anchors)||!e.anchors.length||!e.anchors.map(t=>t||{}).every(t=>yg(t.x)&&yg(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(e.anchors)}`);if(e.meanRgb&&(!Array.isArray(e.meanRgb)||e.meanRgb.length!==3||!e.meanRgb.every(yg)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(e.meanRgb)}`)}function fp(e){return P(()=>{let t=z(e,xe(.10000000149011612));return X(Ke(pe(e,t)),t)})}function Gr(e,t){return P(()=>{let n=xa(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Rt(n,t.conv.filters,[1,1],"valid"),n=pe(n,t.bn.sub),n=z(n,t.bn.truediv),n=X(n,t.conv.bias),fp(n)})}function Hr(e,t){return P(()=>{let n=xa(e,[[0,0],[1,1],[1,1],[0,0]]);return n=_s(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),n=X(n,t.bias),fp(n)})}function wce(e,t){let n=lp(e,t);function a(i,o){let l=je(e(i)),u=je(e(i));return t.push({paramPath:`${o}/sub`},{paramPath:`${o}/truediv`}),{sub:l,truediv:u}}function r(i,o,l){let u=n(i,o,3,`${l}/conv`),p=a(o,`${l}/bn`);return{conv:u,bn:p}}let s=up(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}}function v$(e,t,n,a){let{extractWeights:r,getRemainingWeights:s}=$n(e),i=[],{extractConvParams:o,extractConvWithBatchNormParams:l,extractSeparableConvParams:u}=wce(r,i),p;if(t.withSeparableConvs){let[d,c,h,m,f,g,y,b,x]=a,w=t.isFirstLayerConv2d?o(d,c,3,"conv0"):u(d,c,"conv0"),I=u(c,h,"conv1"),T=u(h,m,"conv2"),C=u(m,f,"conv3"),E=u(f,g,"conv4"),$=u(g,y,"conv5"),R=b?u(y,b,"conv6"):void 0,F=x?u(b,x,"conv7"):void 0,S=o(x||b||y,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}else{let[d,c,h,m,f,g,y,b,x]=a,w=l(d,c,"conv0"),I=l(c,h,"conv1"),T=l(h,m,"conv2"),C=l(m,f,"conv3"),E=l(f,g,"conv4"),$=l(g,y,"conv5"),R=l(y,b,"conv6"),F=l(b,x,"conv7"),S=o(x,5*n,1,"conv8");p={conv0:w,conv1:I,conv2:T,conv3:C,conv4:E,conv5:$,conv6:R,conv7:F,conv8:S}}if(s().length!==0)throw new Error(`weights remaing after extract: ${s().length}`);return{params:p,paramMappings:i}}function kce(e,t){let n=sa(e,t);function a(o){let l=n(`${o}/sub`,1),u=n(`${o}/truediv`,1);return{sub:l,truediv:u}}function r(o){let l=n(`${o}/filters`,4),u=n(`${o}/bias`,1);return{filters:l,bias:u}}function s(o){let l=r(`${o}/conv`),u=a(`${o}/bn`);return{conv:l,bn:u}}let i=pp(n);return{extractConvParams:r,extractConvWithBatchNormParams:s,extractSeparableConvParams:i}}function w$(e,t){let n=[],{extractConvParams:a,extractConvWithBatchNormParams:r,extractSeparableConvParams:s}=kce(e,n),i;if(t.withSeparableConvs){let o=t.filterSizes&&t.filterSizes.length||9;i={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:o>7?s("conv6"):void 0,conv7:o>8?s("conv7"):void 0,conv8:a("conv8")}}else i={conv0:r("conv0"),conv1:r("conv1"),conv2:r("conv2"),conv3:r("conv3"),conv4:r("conv4"),conv5:r("conv5"),conv6:r("conv6"),conv7:r("conv7"),conv8:a("conv8")};return An(e,n),{params:i,paramMappings:n}}var er=class{constructor({inputSize:t,scoreThreshold:n}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=n||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var G1=class extends on{constructor(n){super("TinyYolov2");U1(n),this._config=n}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(n,a){let r=Gr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Gr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=Gr(r,a.conv6),r=Gr(r,a.conv7),Lo(r,a.conv8,"valid",!1)}runMobilenet(n,a){let r=this.config.isFirstLayerConv2d?fp(Lo(n,a.conv0,"valid",!1)):Hr(n,a.conv0);return r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv1),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv2),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv3),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv4),r=Dt(r,[2,2],[2,2],"same"),r=Hr(r,a.conv5),r=Dt(r,[2,2],[1,1],"same"),r=a.conv6?Hr(r,a.conv6):r,r=a.conv7?Hr(r,a.conv7):r,Lo(r,a.conv8,"valid",!1)}forwardInput(n,a){let{params:r}=this;if(!r)throw new Error("TinyYolov2 - load model before inference");return P(()=>{let s=ie(n.toBatchTensor(a,!1),"float32");return s=this.config.meanRgb?Ja(s,this.config.meanRgb):s,s=s.div(255),this.config.withSeparableConvs?this.runMobilenet(s,r):this.runTinyYolov2(s,r)})}async forward(n,a){return this.forwardInput(await bt(n),a)}async detect(n,a={}){let{inputSize:r,scoreThreshold:s}=new er(a),i=await bt(n),o=await this.forwardInput(i,r),l=P(()=>ut(o)[0].expandDims()),u={width:i.getInputWidth(0),height:i.getInputHeight(0)},p=await this.extractBoxes(l,i.getReshapedInputDimensions(0),s);o.dispose(),l.dispose();let d=p.map(y=>y.box),c=p.map(y=>y.score),h=p.map(y=>y.classScore),m=p.map(y=>this.config.classes[y.label]);return x1(d.map(y=>y.rescale(r)),c,this.config.iouThreshold,!0).map(y=>new Wr(c[y],h[y],m[y],d[y],u))}getDefaultModelName(){return""}extractParamsFromWeightMap(n){return w$(n,this.config)}extractParams(n){let a=this.config.filterSizes||G1.DEFAULT_FILTER_SIZES,r=a?a.length:void 0;if(r!==7&&r!==8&&r!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${r} filterSizes in config`);return v$(n,this.config,this.boxEncodingSize,a)}async extractBoxes(n,a,r){let{width:s,height:i}=a,o=Math.max(s,i),l=o/s,u=o/i,p=n.shape[1],d=this.config.anchors.length,[c,h,m]=P(()=>{let b=n.reshape([p,p,d,this.boxEncodingSize]),x=b.slice([0,0,0,0],[p,p,d,4]),w=b.slice([0,0,0,4],[p,p,d,1]),I=this.withClassScores?Xa(b.slice([0,0,0,5],[p,p,d,this.config.classes.length]),3):xe(0);return[x,w,I]}),f=[],g=await h.array(),y=await c.array();for(let b=0;br){let T=(x+pd(y[b][x][w][0]))/p*l,C=(b+pd(y[b][x][w][1]))/p*u,E=Math.exp(y[b][x][w][2])*this.config.anchors[w].x/p*l,$=Math.exp(y[b][x][w][3])*this.config.anchors[w].y/p*u,R=T-E/2,F=C-$/2,S={row:b,col:x,anchor:w},{classScore:M,label:B}=this.withClassScores?await this.extractPredictedClass(m,S):{classScore:1,label:0};f.push({box:new $o(R,F,R+E,F+$),score:I,classScore:I*M,label:B,...S})}}return c.dispose(),h.dispose(),m.dispose(),f}async extractPredictedClass(n,a){let{row:r,col:s,anchor:i}=a,o=await n.array();return Array(this.config.classes.length).fill(0).map((l,u)=>o[r][s][i][u]).map((l,u)=>({classScore:l,label:u})).reduce((l,u)=>l.classScore>u.classScore?l:u)}},Uo=G1;Uo.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var Go=class extends Uo{constructor(t=!0){let n={withSeparableConvs:t,iouThreshold:m$,classes:["face"],...t?{anchors:g$,meanRgb:y$}:{anchors:f$,withClassScores:!0}};super(n)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new yt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?x$:b$}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function Ice(e,t=!0){let n=new Go(t);return n.extractWeights(e),n}var kd=class extends er{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var Ia=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};async function Ho(e,t,n,a,r=({alignedRect:s})=>s){let s=e.map(l=>zo(l)?r(l):l.detection),i=a||(t instanceof Ne?await op(t,s):await ip(t,s)),o=await n(i);return i.forEach(l=>l instanceof Ne&&l.dispose()),o}async function gp(e,t,n,a,r){return Ho([e],t,async s=>n(s[0]),a,r)}var k$=.4,I$=[new De(1.603231,2.094468),new De(6.041143,7.080126),new De(2.882459,3.518061),new De(4.266906,5.178857),new De(9.041765,10.66308)],S$=[117.001,114.697,97.404];var qo=class extends Uo{constructor(){let t={withSeparableConvs:!0,iouThreshold:k$,classes:["face"],anchors:I$,meanRgb:S$,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,n){return(await this.detect(t,n)).map(r=>new yt(r.score,r.relativeBox,{width:r.imageWidth,height:r.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var et={ssdMobilenetv1:new Rs,tinyFaceDetector:new qo,tinyYolov2:new Go,faceLandmark68Net:new Wo,faceLandmark68TinyNet:new vd,faceRecognitionNet:new Bo,faceExpressionNet:new bd,ageGenderNet:new xd},T$=(e,t)=>et.ssdMobilenetv1.locateFaces(e,t),Sce=(e,t)=>et.tinyFaceDetector.locateFaces(e,t),Tce=(e,t)=>et.tinyYolov2.locateFaces(e,t),N$=e=>et.faceLandmark68Net.detectLandmarks(e),Nce=e=>et.faceLandmark68TinyNet.detectLandmarks(e),Cce=e=>et.faceRecognitionNet.computeFaceDescriptor(e),_ce=e=>et.faceExpressionNet.predictExpressions(e),Ece=e=>et.ageGenderNet.predictAgeAndGender(e),C$=e=>et.ssdMobilenetv1.load(e),Ace=e=>et.tinyFaceDetector.load(e),$ce=e=>et.tinyYolov2.load(e),Fce=e=>et.faceLandmark68Net.load(e),Rce=e=>et.faceLandmark68TinyNet.load(e),Dce=e=>et.faceRecognitionNet.load(e),Mce=e=>et.faceExpressionNet.load(e),Pce=e=>et.ageGenderNet.load(e),Oce=C$,Lce=T$,zce=N$;var bg=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},jo=class extends bg{async run(){let t=await this.parentTask,n=await Ho(t,this.input,async a=>Promise.all(a.map(r=>et.faceExpressionNet.predictExpressions(r))),this.extractedFaces);return t.map((a,r)=>og(a,n[r]))}withAgeAndGender(){return new Xo(this,this.input)}},Ko=class extends bg{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>et.faceExpressionNet.predictExpressions(a),this.extractedFaces);return og(t,n)}withAgeAndGender(){return new Yo(this,this.input)}},Ds=class extends jo{withAgeAndGender(){return new Ps(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Ms=class extends Ko{withAgeAndGender(){return new Os(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var xg=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.extractedFaces=r}},Xo=class extends xg{async run(){let t=await this.parentTask,n=await Ho(t,this.input,async a=>Promise.all(a.map(r=>et.ageGenderNet.predictAgeAndGender(r))),this.extractedFaces);return t.map((a,r)=>{let{age:s,gender:i,genderProbability:o}=n[r];return fg(gg(a,i,o),s)})}withFaceExpressions(){return new jo(this,this.input)}},Yo=class extends xg{async run(){let t=await this.parentTask;if(!t)return;let{age:n,gender:a,genderProbability:r}=await gp(t,this.input,s=>et.ageGenderNet.predictAgeAndGender(s),this.extractedFaces);return fg(gg(t,a,r),n)}withFaceExpressions(){return new Ko(this,this.input)}},Ps=class extends Xo{withFaceExpressions(){return new Ds(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Os=class extends Yo{withFaceExpressions(){return new Ms(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var Id=class extends Ia{constructor(n,a){super();this.parentTask=n;this.input=a}},qr=class extends Id{async run(){let t=await this.parentTask;return(await Ho(t,this.input,a=>Promise.all(a.map(r=>et.faceRecognitionNet.computeFaceDescriptor(r))),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}))).map((a,r)=>mg(t[r],a))}withFaceExpressions(){return new Ds(this,this.input)}withAgeAndGender(){return new Ps(this,this.input)}},jr=class extends Id{async run(){let t=await this.parentTask;if(!t)return;let n=await gp(t,this.input,a=>et.faceRecognitionNet.computeFaceDescriptor(a),null,a=>a.landmarks.align(null,{useDlibAlignment:!0}));return mg(t,n)}withFaceExpressions(){return new Ms(this,this.input)}withAgeAndGender(){return new Os(this,this.input)}};var Sd=class extends Ia{constructor(n,a,r){super();this.parentTask=n;this.input=a;this.useTinyLandmarkNet=r}get landmarkNet(){return this.useTinyLandmarkNet?et.faceLandmark68TinyNet:et.faceLandmark68Net}},Td=class extends Sd{async run(){let t=await this.parentTask,n=t.map(i=>i.detection),a=this.input instanceof Ne?await op(this.input,n):await ip(this.input,n),r=await Promise.all(a.map(i=>this.landmarkNet.detectLandmarks(i)));return a.forEach(i=>i instanceof Ne&&i.dispose()),t.filter((i,o)=>r[o]).map((i,o)=>hp(i,r[o]))}withFaceExpressions(){return new Ds(this,this.input)}withAgeAndGender(){return new Ps(this,this.input)}withFaceDescriptors(){return new qr(this,this.input)}},Nd=class extends Sd{async run(){let t=await this.parentTask;if(!t)return;let{detection:n}=t,a=this.input instanceof Ne?await op(this.input,[n]):await ip(this.input,[n]),r=await this.landmarkNet.detectLandmarks(a[0]);return a.forEach(s=>s instanceof Ne&&s.dispose()),hp(t,r)}withFaceExpressions(){return new Ms(this,this.input)}withAgeAndGender(){return new Os(this,this.input)}withFaceDescriptor(){return new jr(this,this.input)}};var Cd=class extends Ia{constructor(n,a=new ka){super();this.input=n;this.options=a}},yp=class extends Cd{async run(){let{input:t,options:n}=this,a;if(n instanceof kd)a=et.tinyFaceDetector.locateFaces(t,n);else if(n instanceof ka)a=et.ssdMobilenetv1.locateFaces(t,n);else if(n instanceof er)a=et.tinyYolov2.locateFaces(t,n);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return a}runAndExtendWithFaceDetections(){return new Promise((t,n)=>{this.run().then(a=>t(a.map(r=>Do({},r)))).catch(a=>n(a))})}withFaceLandmarks(t=!1){return new Td(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new jo(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new Xo(this.runAndExtendWithFaceDetections(),this.input)}},_d=class extends Cd{async run(){let t=await new yp(this.input,this.options),n=t[0];return t.forEach(a=>{a.score>n.score&&(n=a)}),n}runAndExtendWithFaceDetection(){return new Promise(async t=>{let n=await this.run();t(n?Do({},n):void 0)})}withFaceLandmarks(t=!1){return new Nd(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new Ko(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new Yo(this.runAndExtendWithFaceDetection(),this.input)}};function Wce(e,t=new ka){return new _d(e,t)}function vg(e,t=new ka){return new yp(e,t)}async function _$(e,t){return vg(e,new ka(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function Bce(e,t={}){return vg(e,new er(t)).withFaceLandmarks().withFaceDescriptors()}var Vce=_$;function H1(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let n=Array.from(e),a=Array.from(t);return Math.sqrt(n.map((r,s)=>r-a[s]).reduce((r,s)=>r+s*s,0))}var Ed=class{constructor(t,n=.6){this._distanceThreshold=n;let a=Array.isArray(t)?t:[t];if(!a.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let r=1,s=()=>`person ${r++}`;this._labeledDescriptors=a.map(i=>{if(i instanceof br)return i;if(i instanceof Float32Array)return new br(s(),[i]);if(i.descriptor&&i.descriptor instanceof Float32Array)return new br(s(),[i.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,n){return n.map(a=>H1(a,t)).reduce((a,r)=>a+r,0)/(n.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:n,label:a})=>new ap(a,this.computeMeanDistance(t,n))).reduce((n,a)=>n.distancet.toJSON())}}static fromJSON(t){let n=t.labeledDescriptors.map(a=>br.fromJSON(a));return new Ed(n,t.distanceThreshold)}};function Uce(e){let t=new qo;return t.extractWeights(e),t}function E$(e,t){let{width:n,height:a}=new xn(t.width,t.height);if(n<=0||a<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:n,height:a})}`);if(Array.isArray(e))return e.map(r=>E$(r,{width:n,height:a}));if(zo(e)){let r=e.detection.forSize(n,a),s=e.unshiftedLandmarks.forSize(r.box.width,r.box.height);return hp(Do(e,r),s)}return xr(e)?Do(e,e.detection.forSize(n,a)):e instanceof ra||e instanceof yt?e.forSize(n,a):e}var Gce=XA;return mF(Hce);})(); diff --git a/dist/face-api.node-gpu.js b/dist/face-api.node-gpu.js index 469257a..e36c55e 100644 --- a/dist/face-api.node-gpu.js +++ b/dist/face-api.node-gpu.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>To(er({},"__esModule",{value:!0}),o);var x=vn((Va,Br)=>{"use strict";var Wr=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,wn=Object.prototype.hasOwnProperty,Pn=(o,t)=>{for(var e in t)Wr(o,e,{get:t[e],enumerable:!0})},Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!wn.call(o,n)&&n!==e&&Wr(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Fn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),Dn=o=>Ar(Wr({},"__esModule",{value:!0}),o),kr={};Pn(kr,{version:()=>Nn});Br.exports=Dn(kr);Fn(kr,require("@tensorflow/tfjs-node-gpu"),Br.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Lr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=yn(Ra);var ka=v(x());var co={};Lr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Lr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:nr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await no(e);return Do.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var So="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Pr=v(x());function Oo(o,t){return Pr.add(Pr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Fr(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return qo(o)}var lo=class extends St{};var Zo=.4,Ko=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],Qo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),pn=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),un=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=un,Ia=mn,Na=pn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=fn;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>To(er({},"__esModule",{value:!0}),o);var x=vn((Va,Br)=>{"use strict";var Wr=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,wn=Object.prototype.hasOwnProperty,Pn=(o,t)=>{for(var e in t)Wr(o,e,{get:t[e],enumerable:!0})},Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!wn.call(o,n)&&n!==e&&Wr(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Fn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),Dn=o=>Ar(Wr({},"__esModule",{value:!0}),o),kr={};Pn(kr,{version:()=>Nn});Br.exports=Dn(kr);Fn(kr,require("@tensorflow/tfjs-node-gpu"),Br.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Lr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=yn(Ra);var ka=v(x());var co={};Lr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Lr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:nr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await no(e);return Do.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var So="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Pr=v(x());function Oo(o,t){return Pr.add(Pr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Fr(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return qo(o)}var lo=class extends St{};var Zo=.4,Ko=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],Qo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),pn=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),un=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=un,Ia=mn,Na=pn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=fn;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/face-api.node-wasm.js b/dist/face-api.node-wasm.js index 438cc74..183172f 100644 --- a/dist/face-api.node-wasm.js +++ b/dist/face-api.node-wasm.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var hn=Object.create;var er=Object.defineProperty;var bn=Object.getOwnPropertyDescriptor;var gn=Object.getOwnPropertyNames;var xn=Object.getPrototypeOf,vn=Object.prototype.hasOwnProperty;var yn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Wr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of gn(t))!vn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=bn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?hn(xn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),_n=o=>To(er({},"__esModule",{value:!0}),o);var x=yn((Va,or)=>{"use strict";var Br=Object.defineProperty,Tn=Object.getOwnPropertyDescriptor,wn=Object.getOwnPropertyNames,Pn=Object.prototype.hasOwnProperty,Fn=(o,t)=>{for(var e in t)Br(o,e,{get:t[e],enumerable:!0})},kr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of wn(t))!Pn.call(o,n)&&n!==e&&Br(o,n,{get:()=>t[n],enumerable:!(r=Tn(t,n))||r.enumerable});return o},Po=(o,t,e)=>(kr(o,t,"default"),e&&kr(e,t,"default")),Dn=o=>kr(Br({},"__esModule",{value:!0}),o),rr={};Fn(rr,{version:()=>Nn});or.exports=Dn(rr);Po(rr,require("@tensorflow/tfjs"),or.exports);Po(rr,require("@tensorflow/tfjs-backend-wasm"),or.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Wr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Pr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>ln,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>Zo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Ar,detectFaceLandmarks:()=>un,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Cr,extendWithFaceDescriptor:()=>Mr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>yr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Ir,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>mr,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>fn,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>dn,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>pn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=_n(Ra);var ka=v(x());var co={};Wr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ir,DrawFaceLandmarks:()=>Tr,DrawFaceLandmarksOptions:()=>_r,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Wr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>ar,isEven:()=>nr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Fo=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Fo.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function nr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ar(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function sr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=sr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:sr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ir=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ir(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var cr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=cr.tidy(()=>o.as3D(r,n,a).toInt());return await cr.browser.toPixels(s,e),s.dispose(),e}function mr(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!mr(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>mr(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var pr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return pr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>pr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Do(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Do(e)}var Eo=v(x());function ur(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=ur(o,t),n=await no(e);return Eo.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=ur(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function fr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var lr=v(x());function be(o,t){return(e,r,n,a)=>{let s=lr.tensor4d(o(e*r*n*n),[n,n,e,r]),i=lr.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var dr=v(x());function hr(o,t){return(e,r,n)=>{let a=dr.tensor2d(o(e*r),[e,r]),s=dr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function br(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Mo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=br(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function gr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function xr(o,t){let e=Y(o,t),r=gr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Co(o){let t=[],{extractDenseBlock4Params:e}=xr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Co(t)}extractParams(t){return Mo(t)}};var So=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Io(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=hr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function No(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function vr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return So.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Io(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=vr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),No(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function yr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var _r=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},Tr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new _r(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new Tr(n).draw(o)})}var Lo="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Ao(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=gr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Wo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function ko(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,ko(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var wr=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(ko(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Wo(e,this._numMainBlocks)}extractParams(e){return Ao(e,this._numMainBlocks)}};function Bo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=hr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Ro(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Pr=(e=>(e.FEMALE="female",e.MALE="male",e))(Pr||{});var He=class extends A{constructor(e=new wr(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Bo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=vr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Ro(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>nr(u)),m=i.filter((p,u)=>!nr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function $o(o){let t=[],{extractDenseBlock3Params:e}=xr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Oo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=br(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Fr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=fr(a,e.dense0,!0);return s=fr(s,e.dense1),s=fr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return $o(t)}extractParams(t){return Oo(t)}};var ze=class extends Fe{constructor(t=new Fr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Dr=v(x());function Ho(o,t){return Dr.add(Dr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Ho(i,t.scale),r?Ee.relu(i):i}function zo(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Er(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Vo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Yo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=zo(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Er(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Er(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Mr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Cr(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Go(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function jo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Uo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Xo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Jo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function qo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Uo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=qo(a.out,a.conv11,e.prediction_layer);return Jo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return jo(t)}extractParams(t){return Go(t)}};function Zo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return Zo(o)}var lo=class extends St{};var Ko=.4,Qo=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],tn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],en=[117.001,114.697,97.404],rn="tiny_yolov2_model",on="tiny_yolov2_separable_conv_model";var N=v(x());var Nr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Nr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Nr(t.x)&&Nr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Nr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function nn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function an(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return an(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return nn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Ko,classes:["face"],...t?{anchors:tn,meanRgb:en}:{anchors:Qo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?on:rn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var sn=.4,cn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],mn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:sn,classes:["face"],anchors:cn,meanRgb:mn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},pn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),un=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),fn=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=fn,Ia=pn,Na=un;var Sr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Sr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>yr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Sr{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return yr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Lr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Lr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Cr(Ir(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Lr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Cr(Ir(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Mr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Mr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Ar(o,t=new X){return new Ie(o,t)}async function ln(o,t){return Ar(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Ar(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=ln;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function dn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>dn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=Lo;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var hn=Object.create;var er=Object.defineProperty;var bn=Object.getOwnPropertyDescriptor;var gn=Object.getOwnPropertyNames;var xn=Object.getPrototypeOf,vn=Object.prototype.hasOwnProperty;var yn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Wr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of gn(t))!vn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=bn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?hn(xn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),_n=o=>To(er({},"__esModule",{value:!0}),o);var x=yn((Va,or)=>{"use strict";var Br=Object.defineProperty,Tn=Object.getOwnPropertyDescriptor,wn=Object.getOwnPropertyNames,Pn=Object.prototype.hasOwnProperty,Fn=(o,t)=>{for(var e in t)Br(o,e,{get:t[e],enumerable:!0})},kr=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of wn(t))!Pn.call(o,n)&&n!==e&&Br(o,n,{get:()=>t[n],enumerable:!(r=Tn(t,n))||r.enumerable});return o},Po=(o,t,e)=>(kr(o,t,"default"),e&&kr(e,t,"default")),Dn=o=>kr(Br({},"__esModule",{value:!0}),o),rr={};Fn(rr,{version:()=>Nn});or.exports=Dn(rr);Po(rr,require("@tensorflow/tfjs"),or.exports);Po(rr,require("@tensorflow/tfjs-backend-wasm"),or.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Wr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Pr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>ln,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>Zo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Ar,detectFaceLandmarks:()=>un,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Cr,extendWithFaceDescriptor:()=>Mr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>yr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Ir,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>mr,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>fn,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>dn,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>pn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=_n(Ra);var ka=v(x());var co={};Wr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ir,DrawFaceLandmarks:()=>Tr,DrawFaceLandmarksOptions:()=>_r,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Wr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>ar,isEven:()=>nr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Fo=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Fo.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function nr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function ar(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function sr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=sr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:sr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ir=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ir(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var cr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=cr.tidy(()=>o.as3D(r,n,a).toInt());return await cr.browser.toPixels(s,e),s.dispose(),e}function mr(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!mr(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>mr(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var pr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return pr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>pr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Do(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Do(e)}var Eo=v(x());function ur(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=ur(o,t),n=await no(e);return Eo.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=ur(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function fr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var lr=v(x());function be(o,t){return(e,r,n,a)=>{let s=lr.tensor4d(o(e*r*n*n),[n,n,e,r]),i=lr.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var dr=v(x());function hr(o,t){return(e,r,n)=>{let a=dr.tensor2d(o(e*r),[e,r]),s=dr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function br(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Mo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=br(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function gr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function xr(o,t){let e=Y(o,t),r=gr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Co(o){let t=[],{extractDenseBlock4Params:e}=xr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Co(t)}extractParams(t){return Mo(t)}};var So=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Io(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=hr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function No(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function vr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return So.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Io(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=vr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),No(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function yr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var _r=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},Tr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new _r(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new Tr(n).draw(o)})}var Lo="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Ao(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=gr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Wo(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function ko(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,ko(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var wr=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(ko(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Wo(e,this._numMainBlocks)}extractParams(e){return Ao(e,this._numMainBlocks)}};function Bo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=hr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Ro(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Pr=(e=>(e.FEMALE="female",e.MALE="male",e))(Pr||{});var He=class extends A{constructor(e=new wr(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Bo(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=vr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Ro(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>nr(u)),m=i.filter((p,u)=>!nr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function $o(o){let t=[],{extractDenseBlock3Params:e}=xr(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function Oo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=br(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var Fr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=fr(a,e.dense0,!0);return s=fr(s,e.dense1),s=fr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return $o(t)}extractParams(t){return Oo(t)}};var ze=class extends Fe{constructor(t=new Fr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Dr=v(x());function Ho(o,t){return Dr.add(Dr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Ho(i,t.scale),r?Ee.relu(i):i}function zo(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Er(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function Vo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Yo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=zo(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Er(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Er(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Yo(t)}extractParams(t){return Vo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Mr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Cr(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Ir(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Go(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function jo(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function Uo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Xo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Jo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function qo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=Uo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=qo(a.out,a.conv11,e.prediction_layer);return Jo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return jo(t)}extractParams(t){return Go(t)}};function Zo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return Zo(o)}var lo=class extends St{};var Ko=.4,Qo=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],tn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],en=[117.001,114.697,97.404],rn="tiny_yolov2_model",on="tiny_yolov2_separable_conv_model";var N=v(x());var Nr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Nr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Nr(t.x)&&Nr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Nr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function nn(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function an(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return an(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return nn(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Ko,classes:["face"],...t?{anchors:tn,meanRgb:en}:{anchors:Qo,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?on:rn}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var sn=.4,cn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],mn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:sn,classes:["face"],anchors:cn,meanRgb:mn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},pn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),un=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),fn=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=fn,Ia=pn,Na=un;var Sr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Sr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>yr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Sr{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return yr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Lr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Lr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Cr(Ir(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Lr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Cr(Ir(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Mr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Mr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Ar(o,t=new X){return new Ie(o,t)}async function ln(o,t){return Ar(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Ar(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=ln;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function dn(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>dn(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=Lo;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/face-api.node.js b/dist/face-api.node.js index ce5f018..b2d9f07 100644 --- a/dist/face-api.node.js +++ b/dist/face-api.node.js @@ -4,4 +4,4 @@ author: ' */ -"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>To(er({},"__esModule",{value:!0}),o);var x=vn((Va,Br)=>{"use strict";var Wr=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,wn=Object.prototype.hasOwnProperty,Pn=(o,t)=>{for(var e in t)Wr(o,e,{get:t[e],enumerable:!0})},Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!wn.call(o,n)&&n!==e&&Wr(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Fn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),Dn=o=>Ar(Wr({},"__esModule",{value:!0}),o),kr={};Pn(kr,{version:()=>Nn});Br.exports=Dn(kr);Fn(kr,require("@tensorflow/tfjs-node"),Br.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Lr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=yn(Ra);var ka=v(x());var co={};Lr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Lr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:nr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){!a.currentTarget||(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await no(e);return Do.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var So="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Pr=v(x());function Oo(o,t){return Pr.add(Pr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Fr(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return qo(o)}var lo=class extends St{};var Zo=.4,Ko=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],Qo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),pn=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),un=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=un,Ia=mn,Na=pn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=fn;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); +"use strict";var dn=Object.create;var er=Object.defineProperty;var hn=Object.getOwnPropertyDescriptor;var bn=Object.getOwnPropertyNames;var gn=Object.getPrototypeOf,xn=Object.prototype.hasOwnProperty;var vn=(o,t)=>()=>(t||o((t={exports:{}}).exports,t),t.exports),Lr=(o,t)=>{for(var e in t)er(o,e,{get:t[e],enumerable:!0})},To=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of bn(t))!xn.call(o,n)&&n!==e&&er(o,n,{get:()=>t[n],enumerable:!(r=hn(t,n))||r.enumerable});return o};var v=(o,t,e)=>(e=o!=null?dn(gn(o)):{},To(t||!o||!o.__esModule?er(e,"default",{value:o,enumerable:!0}):e,o)),yn=o=>To(er({},"__esModule",{value:!0}),o);var x=vn((Va,Br)=>{"use strict";var Wr=Object.defineProperty,_n=Object.getOwnPropertyDescriptor,Tn=Object.getOwnPropertyNames,wn=Object.prototype.hasOwnProperty,Pn=(o,t)=>{for(var e in t)Wr(o,e,{get:t[e],enumerable:!0})},Ar=(o,t,e,r)=>{if(t&&typeof t=="object"||typeof t=="function")for(let n of Tn(t))!wn.call(o,n)&&n!==e&&Wr(o,n,{get:()=>t[n],enumerable:!(r=_n(t,n))||r.enumerable});return o},Fn=(o,t,e)=>(Ar(o,t,"default"),e&&Ar(e,t,"default")),Dn=o=>Ar(Wr({},"__esModule",{value:!0}),o),kr={};Pn(kr,{version:()=>Nn});Br.exports=Dn(kr);Fn(kr,require("@tensorflow/tfjs-node"),Br.exports);var wo="4.2.0",En="4.2.0",Mn="4.2.0",Cn="4.2.0",In="4.2.0",Nn={tfjs:wo,"tfjs-core":wo,"tfjs-converter":En,"tfjs-backend-cpu":Mn,"tfjs-backend-webgl":Cn,"tfjs-backend-wasm":In}});var Ra={};Lr(Ra,{AgeGenderNet:()=>He,BoundingBox:()=>Vt,Box:()=>D,ComposableTask:()=>J,ComputeAllFaceDescriptorsTask:()=>Pt,ComputeFaceDescriptorsTaskBase:()=>Ue,ComputeSingleFaceDescriptorTask:()=>Ft,DetectAllFaceLandmarksTask:()=>qe,DetectAllFacesTask:()=>Ie,DetectFaceLandmarksTaskBase:()=>Je,DetectFacesTaskBase:()=>Ke,DetectSingleFaceLandmarksTask:()=>Ze,DetectSingleFaceTask:()=>Qe,Dimensions:()=>k,FACE_EXPRESSION_LABELS:()=>so,FaceDetection:()=>M,FaceDetectionNet:()=>lo,FaceExpressionNet:()=>Oe,FaceExpressions:()=>yt,FaceLandmark68Net:()=>Kt,FaceLandmark68TinyNet:()=>ze,FaceLandmarkNet:()=>po,FaceLandmarks:()=>z,FaceLandmarks5:()=>jr,FaceLandmarks68:()=>Gt,FaceMatch:()=>pe,FaceMatcher:()=>tr,FaceRecognitionNet:()=>Qt,Gender:()=>Tr,LabeledBox:()=>ue,LabeledFaceDescriptors:()=>mt,NetInput:()=>ut,NeuralNetwork:()=>A,ObjectDetection:()=>bt,Point:()=>g,PredictedBox:()=>Ur,Rect:()=>Yt,SsdMobilenetv1:()=>St,SsdMobilenetv1Options:()=>X,TinyFaceDetector:()=>ne,TinyFaceDetectorOptions:()=>je,TinyYolov2:()=>re,TinyYolov2Options:()=>st,allFaces:()=>Aa,allFacesSsdMobilenetv1:()=>fn,allFacesTinyYolov2:()=>La,awaitMediaLoaded:()=>to,bufferToImage:()=>eo,computeFaceDescriptor:()=>va,createCanvas:()=>Jt,createCanvasFromMedia:()=>We,createFaceDetectionNet:()=>fa,createFaceRecognitionNet:()=>ea,createSsdMobilenetv1:()=>qo,createTinyFaceDetector:()=>Wa,createTinyYolov2:()=>ha,detectAllFaces:()=>Sr,detectFaceLandmarks:()=>pn,detectFaceLandmarksTiny:()=>xa,detectLandmarks:()=>Na,detectSingleFace:()=>Sa,draw:()=>co,env:()=>w,euclideanDistance:()=>vo,extendWithAge:()=>Er,extendWithFaceDescriptor:()=>Dr,extendWithFaceDetection:()=>jt,extendWithFaceExpressions:()=>xr,extendWithFaceLandmarks:()=>Pe,extendWithGender:()=>Mr,extractFaceTensors:()=>de,extractFaces:()=>le,fetchImage:()=>Hn,fetchJson:()=>no,fetchNetWeights:()=>zn,fetchOrThrow:()=>xt,fetchVideo:()=>Vn,getContext2dOrThrow:()=>O,getMediaDimensions:()=>Xt,imageTensorToCanvas:()=>ro,imageToSquare:()=>oo,inverseSigmoid:()=>An,iou:()=>zr,isMediaElement:()=>ir,isMediaLoaded:()=>Ae,isWithAge:()=>ra,isWithFaceDetection:()=>pt,isWithFaceExpressions:()=>io,isWithFaceLandmarks:()=>Zt,isWithGender:()=>oa,loadAgeGenderModel:()=>Ma,loadFaceDetectionModel:()=>Ca,loadFaceExpressionModel:()=>Ea,loadFaceLandmarkModel:()=>Pa,loadFaceLandmarkTinyModel:()=>Fa,loadFaceRecognitionModel:()=>Da,loadSsdMobilenetv1Model:()=>un,loadTinyFaceDetectorModel:()=>Ta,loadTinyYolov2Model:()=>wa,loadWeightMap:()=>ao,locateFaces:()=>Ia,matchDimensions:()=>Yn,minBbox:()=>Vr,nets:()=>P,nonMaxSuppression:()=>Yr,normalize:()=>rt,padToSquare:()=>Gr,predictAgeAndGender:()=>_a,recognizeFaceExpressions:()=>ya,resizeResults:()=>ln,resolveInput:()=>Ut,shuffleArray:()=>Ln,sigmoid:()=>Ne,ssdMobilenetv1:()=>mn,tf:()=>ka,tinyFaceDetector:()=>ba,tinyYolov2:()=>ga,toNetInput:()=>C,utils:()=>Hr,validateConfig:()=>ho,version:()=>Ba});module.exports=yn(Ra);var ka=v(x());var co={};Lr(co,{AnchorPosition:()=>Qr,DrawBox:()=>Le,DrawBoxOptions:()=>ar,DrawFaceLandmarks:()=>yr,DrawFaceLandmarksOptions:()=>vr,DrawTextField:()=>gt,DrawTextFieldOptions:()=>fe,drawContour:()=>dt,drawDetections:()=>On,drawFaceExpressions:()=>Gn,drawFaceLandmarks:()=>Un});function dt(o,t,e=!1){if(o.beginPath(),t.slice(1).forEach(({x:r,y:n},a)=>{let s=t[a];o.moveTo(s.x,s.y),o.lineTo(r,n)}),e){let r=t[t.length-1],n=t[0];if(!r||!n)return;o.moveTo(r.x,r.y),o.lineTo(n.x,n.y)}o.stroke()}var Hr={};Lr(Hr,{computeReshapedDimensions:()=>Or,getCenterPoint:()=>zt,isDimensions:()=>or,isEven:()=>rr,isFloat:()=>$r,isTensor:()=>Ot,isTensor1D:()=>Sn,isTensor2D:()=>Rr,isTensor3D:()=>ht,isTensor4D:()=>U,isValidNumber:()=>et,isValidProbablitiy:()=>me,range:()=>it,round:()=>Ht});var Po=v(x());var k=class{constructor(t,e){if(!et(t)||!et(e))throw new Error(`Dimensions.constructor - expected width and height to be valid numbers, instead have ${JSON.stringify({width:t,height:e})}`);this._width=t,this._height=e}get width(){return this._width}get height(){return this._height}reverse(){return new k(1/this.width,1/this.height)}};function Ot(o,t){return o instanceof Po.Tensor&&o.shape.length===t}function Sn(o){return Ot(o,1)}function Rr(o){return Ot(o,2)}function ht(o){return Ot(o,3)}function U(o){return Ot(o,4)}function $r(o){return o%1!==0}function rr(o){return o%2===0}function Ht(o,t=2){let e=10**t;return Math.floor(o*e)/e}function or(o){return o&&o.width&&o.height}function Or({width:o,height:t},e){let r=e/Math.max(t,o);return new k(Math.round(o*r),Math.round(t*r))}function zt(o){return o.reduce((t,e)=>t.add(e),new g(0,0)).div(new g(o.length,o.length))}function it(o,t,e){return Array(o).fill(0).map((r,n)=>t+n*e)}function et(o){return!!o&&o!==1/0&&o!==-1/0&&!Number.isNaN(o)||o===0}function me(o){return et(o)&&o>=0&&o<=1}var g=class{constructor(t,e){this._x=t,this._y=e}get x(){return this._x}get y(){return this._y}add(t){return new g(this.x+t.x,this.y+t.y)}sub(t){return new g(this.x-t.x,this.y-t.y)}mul(t){return new g(this.x*t.x,this.y*t.y)}div(t){return new g(this.x/t.x,this.y/t.y)}abs(){return new g(Math.abs(this.x),Math.abs(this.y))}magnitude(){return Math.sqrt(this.x**2+this.y**2)}floor(){return new g(Math.floor(this.x),Math.floor(this.y))}};var D=class{static isRect(t){return!!t&&[t.x,t.y,t.width,t.height].every(et)}static assertIsValidBox(t,e,r=!1){if(!D.isRect(t))throw new Error(`${e} - invalid box: ${JSON.stringify(t)}, expected object with properties x, y, width, height`);if(!r&&(t.width<0||t.height<0))throw new Error(`${e} - width (${t.width}) and height (${t.height}) must be positive numbers`)}constructor(t,e=!0){let r=t||{},n=[r.left,r.top,r.right,r.bottom].every(et),a=[r.x,r.y,r.width,r.height].every(et);if(!a&&!n)throw new Error(`Box.constructor - expected box to be IBoundingBox | IRect, instead have ${JSON.stringify(r)}`);let[s,i,c,m]=a?[r.x,r.y,r.width,r.height]:[r.left,r.top,r.right-r.left,r.bottom-r.top];D.assertIsValidBox({x:s,y:i,width:c,height:m},"Box.constructor",e),this._x=s,this._y=i,this._width=c,this._height=m}get x(){return this._x}get y(){return this._y}get width(){return this._width}get height(){return this._height}get left(){return this.x}get top(){return this.y}get right(){return this.x+this.width}get bottom(){return this.y+this.height}get area(){return this.width*this.height}get topLeft(){return new g(this.left,this.top)}get topRight(){return new g(this.right,this.top)}get bottomLeft(){return new g(this.left,this.bottom)}get bottomRight(){return new g(this.right,this.bottom)}round(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.round(a));return new D({x:t,y:e,width:r,height:n})}floor(){let[t,e,r,n]=[this.x,this.y,this.width,this.height].map(a=>Math.floor(a));return new D({x:t,y:e,width:r,height:n})}toSquare(){let{x:t,y:e,width:r,height:n}=this,a=Math.abs(r-n);return re&&(i=-u+e+r,u=e),f>t&&(c=-f+t+n,f=t),m<1&&(c=2-m,m=1),p<1&&(c=2-p,p=1),{dy:s,edy:c,dx:a,edx:i,y:p,ey:f,x:m,ex:u,w:r,h:n}}calibrate(t){return new D({left:this.left+t.left*this.width,top:this.top+t.top*this.height,right:this.right+t.right*this.width,bottom:this.bottom+t.bottom*this.height}).toSquare().round()}};var Vt=class extends D{constructor(t,e,r,n,a=!1){super({left:t,top:e,right:r,bottom:n},a)}};var bt=class{constructor(t,e,r,n,a){this._imageDims=new k(a.width,a.height),this._score=t,this._classScore=e,this._className=r,this._box=new D(n).rescale(this._imageDims)}get score(){return this._score}get classScore(){return this._classScore}get className(){return this._className}get box(){return this._box}get imageDims(){return this._imageDims}get imageWidth(){return this.imageDims.width}get imageHeight(){return this.imageDims.height}get relativeBox(){return new D(this._box).rescale(this.imageDims.reverse())}forSize(t,e){return new bt(this.score,this.classScore,this.className,this.relativeBox,{width:t,height:e})}};var M=class extends bt{constructor(t,e,r){super(t,t,"",e,r)}forSize(t,e){let{score:r,relativeBox:n,imageDims:a}=super.forSize(t,e);return new M(r,n,a)}};function zr(o,t,e=!0){let r=Math.max(0,Math.min(o.right,t.right)-Math.max(o.left,t.left)),n=Math.max(0,Math.min(o.bottom,t.bottom)-Math.max(o.top,t.top)),a=r*n;return e?a/(o.area+t.area-a):a/Math.min(o.area,t.area)}function Vr(o){let t=o.map(i=>i.x),e=o.map(i=>i.y),r=t.reduce((i,c)=>ccii({score:s,boxIndex:i})).sort((s,i)=>s.score-i.score).map(s=>s.boxIndex),a=[];for(;n.length>0;){let s=n.pop();a.push(s);let i=n,c=[];for(let m=0;mc[p]<=e)}return a}var ct=v(x());function rt(o,t){return ct.tidy(()=>{let[e,r,n]=t,a=ct.fill([...o.shape.slice(0,3),1],e,"float32"),s=ct.fill([...o.shape.slice(0,3),1],r,"float32"),i=ct.fill([...o.shape.slice(0,3),1],n,"float32"),c=ct.concat([a,s,i],3);return ct.sub(o,c)})}var Ct=v(x());function Gr(o,t=!1){return Ct.tidy(()=>{let[e,r]=o.shape.slice(1);if(e===r)return o;let n=Math.abs(e-r),a=Math.round(n*(t?.5:1)),s=e>r?2:1,i=f=>{let l=o.shape.slice();return l[s]=f,Ct.fill(l,0,"float32")},c=i(a),m=n-c.shape[s],u=[t&&m?i(m):null,o,c].filter(f=>!!f).map(f=>Ct.cast(f,"float32"));return Ct.concat(u,s)})}function Ln(o){let t=o.slice();for(let e=t.length-1;e>0;e--){let r=Math.floor(Math.random()*(e+1)),n=t[e];t[e]=t[r],t[r]=n}return t}function Ne(o){return 1/(1+Math.exp(-o))}function An(o){return Math.log(o/(1-o))}var Yt=class extends D{constructor(t,e,r,n,a=!1){super({x:t,y:e,width:r,height:n},a)}};var Wn=.5,kn=.43,Bn=.45,z=class{constructor(t,e,r=new g(0,0)){let{width:n,height:a}=e;this._imgDims=new k(n,a),this._shift=r,this._positions=t.map(s=>s.mul(new g(n,a)).add(r))}get shift(){return new g(this._shift.x,this._shift.y)}get imageWidth(){return this._imgDims.width}get imageHeight(){return this._imgDims.height}get positions(){return this._positions}get relativePositions(){return this._positions.map(t=>t.sub(this._shift).div(new g(this.imageWidth,this.imageHeight)))}forSize(t,e){return new this.constructor(this.relativePositions,{width:t,height:e})}shiftBy(t,e){return new this.constructor(this.relativePositions,this._imgDims,new g(t,e))}shiftByPoint(t){return this.shiftBy(t.x,t.y)}align(t,e={}){if(t){let a=t instanceof M?t.box.floor():new D(t);return this.shiftBy(a.x,a.y).align(null,e)}let{useDlibAlignment:r,minBoxPadding:n}={useDlibAlignment:!1,minBoxPadding:.2,...e};return r?this.alignDlib():this.alignMinBbox(n)}alignDlib(){let t=this.getRefPointsForAlignment(),[e,r,n]=t,a=u=>n.sub(u).magnitude(),s=(a(e)+a(r))/2,i=Math.floor(s/Bn),c=zt(t),m=Math.floor(Math.max(0,c.x-Wn*i)),p=Math.floor(Math.max(0,c.y-kn*i));return new Yt(m,p,Math.min(i,this.imageWidth+m),Math.min(i,this.imageHeight+p))}alignMinBbox(t){let e=Vr(this.positions);return e.pad(e.width*t,e.height*t)}getRefPointsForAlignment(){throw new Error("getRefPointsForAlignment not implemented by base class")}};var jr=class extends z{getRefPointsForAlignment(){let t=this.positions;return[t[0],t[1],zt([t[3],t[4]])]}};var Gt=class extends z{getJawOutline(){return this.positions.slice(0,17)}getLeftEyeBrow(){return this.positions.slice(17,22)}getRightEyeBrow(){return this.positions.slice(22,27)}getNose(){return this.positions.slice(27,36)}getLeftEye(){return this.positions.slice(36,42)}getRightEye(){return this.positions.slice(42,48)}getMouth(){return this.positions.slice(48,68)}getRefPointsForAlignment(){return[this.getLeftEye(),this.getRightEye(),this.getMouth()].map(zt)}};var pe=class{constructor(t,e){this._label=t,this._distance=e}get label(){return this._label}get distance(){return this._distance}toString(t=!0){return`${this.label}${t?` (${Ht(this.distance)})`:""}`}};var ue=class extends D{constructor(e,r){super(e);this._label=r}static assertIsValidLabeledBox(e,r){if(D.assertIsValidBox(e,r),!et(e.label))throw new Error(`${r} - expected property label (${e.label}) to be a number`)}get label(){return this._label}};var mt=class{constructor(t,e){if(typeof t!="string")throw new Error("LabeledFaceDescriptors - constructor expected label to be a string");if(!Array.isArray(e)||e.some(r=>!(r instanceof Float32Array)))throw new Error("LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array");this._label=t,this._descriptors=e}get label(){return this._label}get descriptors(){return this._descriptors}toJSON(){return{label:this.label,descriptors:this.descriptors.map(t=>Array.from(t))}}static fromJSON(t){let e=t.descriptors.map(r=>new Float32Array(r));return new mt(t.label,e)}};var Ur=class extends ue{constructor(e,r,n,a){super(e,r);this._score=n,this._classScore=a}static assertIsValidPredictedBox(e,r){if(ue.assertIsValidLabeledBox(e,r),!me(e.score)||!me(e.classScore))throw new Error(`${r} - expected properties score (${e.score}) and (${e.classScore}) to be a number between [0, 1]`)}get score(){return this._score}get classScore(){return this._classScore}};function pt(o){return o.detection instanceof M}function jt(o,t){return{...o,...{detection:t}}}function Xr(){let o=window.fetch;if(!o)throw new Error("fetch - missing fetch implementation for browser environment");return{Canvas:HTMLCanvasElement,CanvasRenderingContext2D,Image:HTMLImageElement,ImageData,Video:HTMLVideoElement,createCanvasElement:()=>document.createElement("canvas"),createImageElement:()=>document.createElement("img"),createVideoElement:()=>document.createElement("video"),fetch:o,readFile:()=>{throw new Error("readFile - filesystem not available for browser environment")}}}function Se(){return typeof global=="object"&&typeof process!="undefined"&&process.versions!=null&&process.versions.node!=null}function nr(o){let t="";if(!o&&Se())try{o=require("fs")}catch(r){t=r.toString()}return{readFile:o?r=>new Promise((n,a)=>{o.readFile(r,(s,i)=>s?a(s):n(i))}):()=>{throw new Error(`readFile - failed to require fs in nodejs environment with error: ${t}`)}}}function Jr(){let o=global.Canvas||global.HTMLCanvasElement,t=global.Image||global.HTMLImageElement,e=global.Video||global.HTMLVideoElement,r=()=>{if(o)return new o;throw new Error("createCanvasElement - missing Canvas implementation for nodejs environment")},n=()=>{if(t)return new t;throw new Error("createImageElement - missing Image implementation for nodejs environment")},a=()=>{if(e)return new e;throw new Error("createVideoElement - missing Video implementation for nodejs environment")},s=global.fetch,i=nr();return{Canvas:o||class{},CanvasRenderingContext2D:global.CanvasRenderingContext2D||class{},Image:t||class{},ImageData:global.ImageData||class{},Video:global.HTMLVideoElement||class{},createCanvasElement:r,createImageElement:n,createVideoElement:a,fetch:s,...i}}function qr(){return typeof window=="object"&&typeof document!="undefined"&&typeof HTMLImageElement!="undefined"&&typeof HTMLCanvasElement!="undefined"&&typeof HTMLVideoElement!="undefined"&&typeof ImageData!="undefined"&&typeof CanvasRenderingContext2D!="undefined"}var L;function Rn(){if(!L)throw new Error("getEnv - environment is not defined, check isNodejs() and isBrowser()");return L}function Zr(o){L=o}function Kr(){return qr()?Zr(Xr()):Se()?Zr(Jr()):null}function $n(o){if(L||Kr(),!L)throw new Error("monkeyPatch - environment is not defined, check isNodejs() and isBrowser()");let{Canvas:t=L.Canvas,Image:e=L.Image}=o;L.Canvas=t,L.Image=e,L.createCanvasElement=o.createCanvasElement||(()=>new t),L.createImageElement=o.createImageElement||(()=>new e),L.ImageData=o.ImageData||L.ImageData,L.Video=o.Video||L.Video,L.fetch=o.fetch||L.fetch,L.readFile=o.readFile||L.readFile}var w={getEnv:Rn,setEnv:Zr,initialize:Kr,createBrowserEnv:Xr,createFileSystem:nr,createNodejsEnv:Jr,monkeyPatch:$n,isBrowser:qr,isNodejs:Se};Kr();function Ut(o){return!w.isNodejs()&&typeof o=="string"?document.getElementById(o):o}function O(o){let{Canvas:t,CanvasRenderingContext2D:e}=w.getEnv();if(o instanceof e)return o;let r=Ut(o);if(!(r instanceof t))throw new Error("resolveContext2d - expected canvas to be of instance of Canvas");let n=r.getContext("2d");if(!n)throw new Error("resolveContext2d - canvas 2d context is null");return n}var Qr=(n=>(n.TOP_LEFT="TOP_LEFT",n.TOP_RIGHT="TOP_RIGHT",n.BOTTOM_LEFT="BOTTOM_LEFT",n.BOTTOM_RIGHT="BOTTOM_RIGHT",n))(Qr||{}),fe=class{constructor(t={}){let{anchorPosition:e,backgroundColor:r,fontColor:n,fontSize:a,fontStyle:s,padding:i}=t;this.anchorPosition=e||"TOP_LEFT",this.backgroundColor=r||"rgba(0, 0, 0, 0.5)",this.fontColor=n||"rgba(255, 255, 255, 1)",this.fontSize=a||14,this.fontStyle=s||"Georgia",this.padding=i||4}},gt=class{constructor(t,e,r={}){this.text=typeof t=="string"?[t]:t instanceof gt?t.text:t,this.anchor=e,this.options=new fe(r)}measureWidth(t){let{padding:e}=this.options;return this.text.map(r=>t.measureText(r).width).reduce((r,n)=>r{let b=c+u.x,y=c+u.y+(l+1)*s;r.fillText(f,b,y)})}};var ar=class{constructor(t={}){let{boxColor:e,lineWidth:r,label:n,drawLabelOptions:a}=t;this.boxColor=e||"rgba(0, 0, 255, 1)",this.lineWidth=r||2,this.label=n;let s={anchorPosition:"BOTTOM_LEFT",backgroundColor:this.boxColor};this.drawLabelOptions=new fe({...s,...a})}},Le=class{constructor(t,e={}){this.box=new D(t),this.options=new ar(e)}draw(t){let e=O(t),{boxColor:r,lineWidth:n}=this.options,{x:a,y:s,width:i,height:c}=this.box;e.strokeStyle=r,e.lineWidth=n,e.strokeRect(a,s,i,c);let{label:m}=this.options;m&&new gt([m],{x:a-n/2,y:s},this.options.drawLabelOptions).draw(t)}};function On(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof M?r.score:pt(r)?r.detection.score:void 0,a=r instanceof M?r.box:pt(r)?r.detection.box:new D(r),s=n?`${Ht(n)}`:void 0;new Le(a,{label:s}).draw(o)})}var we=v(x());function Ae(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t&&o.complete||o instanceof e&&o.readyState>=3}function to(o){return new Promise((t,e)=>{(o instanceof w.getEnv().Canvas||Ae(o))&&t(null);function r(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),e(a))}function n(a){a.currentTarget&&(a.currentTarget.removeEventListener("load",n),a.currentTarget.removeEventListener("error",r),t(a))}o.addEventListener("load",n),o.addEventListener("error",r)})}function eo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToImage - expected buf to be of type: Blob"));let r=new FileReader;r.onload=()=>{typeof r.result!="string"&&e(new Error("bufferToImage - expected reader.result to be a string, in onload"));let n=w.getEnv().createImageElement();n.onload=()=>t(n),n.onerror=e,n.src=r.result},r.onerror=e,r.readAsDataURL(o)})}function Xt(o){let{Image:t,Video:e}=w.getEnv();return o instanceof t?new k(o.naturalWidth,o.naturalHeight):o instanceof e?new k(o.videoWidth,o.videoHeight):new k(o.width,o.height)}function Jt({width:o,height:t}){let{createCanvasElement:e}=w.getEnv(),r=e();return r.width=o,r.height=t,r}function We(o,t){let{ImageData:e}=w.getEnv();if(!(o instanceof e)&&!Ae(o))throw new Error("createCanvasFromMedia - media has not finished loading yet");let{width:r,height:n}=t||Xt(o),a=Jt({width:r,height:n});return o instanceof e?O(a).putImageData(o,0,0):O(a).drawImage(o,0,0,r,n),a}var sr=v(x());async function ro(o,t){let e=t||w.getEnv().createCanvasElement(),[r,n,a]=o.shape.slice(U(o)?1:0),s=sr.tidy(()=>o.as3D(r,n,a).toInt());return await sr.browser.toPixels(s,e),s.dispose(),e}function ir(o){let{Image:t,Canvas:e,Video:r}=w.getEnv();return o instanceof t||o instanceof e||o instanceof r}var V=v(x());function oo(o,t,e=!1){let{Image:r,Canvas:n}=w.getEnv();if(!(o instanceof r||o instanceof n))throw new Error("imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement");if(t<=0)return Jt({width:1,height:1});let a=Xt(o),s=t/Math.max(a.height,a.width),i=s*a.width,c=s*a.height,m=Jt({width:t,height:t}),p=o instanceof n?o:We(o),u=Math.abs(i-c)/2,f=e&&i0&&p.height>0&&O(m).drawImage(p,f,l,i,c),m}var ut=class{constructor(t,e=!1){this._imageTensors=[];this._canvases=[];this._treatAsBatchInput=!1;this._inputDimensions=[];this._inputSize=0;if(!Array.isArray(t))throw new Error(`NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have ${t}`);this._treatAsBatchInput=e,this._batchSize=t.length,t.forEach((r,n)=>{if(ht(r)){this._imageTensors[n]=r,this._inputDimensions[n]=r.shape;return}if(U(r)){let s=r.shape[0];if(s!==1)throw new Error(`NetInput - tf.Tensor4D with batchSize ${s} passed, but not supported in input array`);this._imageTensors[n]=r,this._inputDimensions[n]=r.shape.slice(1);return}let a=r instanceof w.getEnv().Canvas?r:We(r);this._canvases[n]=a,this._inputDimensions[n]=[a.height,a.width,3]})}get imageTensors(){return this._imageTensors}get canvases(){return this._canvases}get isBatchInput(){return this.batchSize>1||this._treatAsBatchInput}get batchSize(){return this._batchSize}get inputDimensions(){return this._inputDimensions}get inputSize(){return this._inputSize}get reshapedInputDimensions(){return it(this.batchSize,0,1).map((t,e)=>this.getReshapedInputDimensions(e))}getInput(t){return this.canvases[t]||this.imageTensors[t]}getInputDimensions(t){return this._inputDimensions[t]}getInputHeight(t){return this._inputDimensions[t][0]}getInputWidth(t){return this._inputDimensions[t][1]}getReshapedInputDimensions(t){if(typeof this.inputSize!="number")throw new Error("getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet");let e=this.getInputWidth(t),r=this.getInputHeight(t);return Or({width:e,height:r},this.inputSize)}toBatchTensor(t,e=!0){return this._inputSize=t,V.tidy(()=>{let r=it(this.batchSize,0,1).map(a=>{let s=this.getInput(a);if(s instanceof V.Tensor){let i=U(s)?s:V.expandDims(s);return i=Gr(i,e),(i.shape[1]!==t||i.shape[2]!==t)&&(i=V.image.resizeBilinear(i,[t,t],!1,!1)),i.as3D(t,t,3)}if(s instanceof w.getEnv().Canvas)return V.browser.fromPixels(oo(s,t,e));throw new Error(`toBatchTensor - at batchIdx ${a}, expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have ${s}`)});return V.stack(r.map(a=>V.cast(a,"float32"))).as4D(this.batchSize,t,t,3)})}};async function C(o){if(o instanceof ut)return o;let t=Array.isArray(o)?o:[o];if(!t.length)throw new Error("toNetInput - empty array passed as input");let e=n=>Array.isArray(o)?` at input index ${n}:`:"",r=t.map(Ut);return r.forEach((n,a)=>{if(!ir(n)&&!ht(n)&&!U(n))throw typeof t[a]=="string"?new Error(`toNetInput -${e(a)} string passed, but could not resolve HTMLElement for element id ${t[a]}`):new Error(`toNetInput -${e(a)} expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id`);if(U(n)){let s=n.shape[0];if(s!==1)throw new Error(`toNetInput -${e(a)} tf.Tensor4D with batchSize ${s} passed, but not supported in input array`)}}),await Promise.all(r.map(n=>ir(n)&&to(n))),new ut(r,Array.isArray(o))}async function le(o,t){let{Canvas:e}=w.getEnv(),r=o;if(!(o instanceof e)){let s=await C(o);if(s.batchSize>1)throw new Error("extractFaces - batchSize > 1 not supported");let i=s.getInput(0);r=i instanceof e?i:await ro(i)}let n=O(r);return t.map(s=>s instanceof M?s.forSize(r.width,r.height).box.floor():s).map(s=>s.clipAtImageBorders(r.width,r.height)).map(({x:s,y:i,width:c,height:m})=>{let p=Jt({width:c,height:m});return c>0&&m>0&&O(p).putImageData(n.getImageData(s,i,c,m),0,0),p})}var cr=v(x());async function de(o,t){if(!ht(o)&&!U(o))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(U(o)&&o.shape[0]>1)throw new Error("extractFaceTensors - batchSize > 1 not supported");return cr.tidy(()=>{let[e,r,n]=o.shape.slice(U(o)?1:0);return t.map(i=>i instanceof M?i.forSize(r,e).box:i).map(i=>i.clipAtImageBorders(r,e)).filter(i=>i.width>0&&i.height>0).map(({x:i,y:c,width:m,height:p})=>cr.slice3d(o.as3D(e,r,n),[c,i,0],[p,m,n]))})}async function xt(o,t){let{fetch:e}=w.getEnv(),r=await e(o,t);if(!(r.status<400))throw new Error(`failed to fetch: (${r.status}) ${r.statusText}, from url: ${r.url}`);return r}async function Hn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("image/"))throw new Error(`fetchImage - expected blob type to be of type image/*, instead have: ${e.type}, for url: ${t.url}`);return eo(e)}async function no(o){return(await xt(o)).json()}async function zn(o){return new Float32Array(await(await xt(o)).arrayBuffer())}function Fo(o){return new Promise((t,e)=>{o instanceof Blob||e(new Error("bufferToVideo - expected buf to be of type: Blob"));let r=w.getEnv().createVideoElement();r.oncanplay=()=>t(r),r.onerror=e,r.playsInline=!0,r.muted=!0,r.src=URL.createObjectURL(o),r.play()})}async function Vn(o){let t=await xt(o),e=await t.blob();if(!e.type.startsWith("video/"))throw new Error(`fetchVideo - expected blob type to be of type video/*, instead have: ${e.type}, for url: ${t.url}`);return Fo(e)}var Do=v(x());function mr(o,t){let e=`${t}-weights_manifest.json`;if(!o)return{modelBaseUri:"",manifestUri:e};if(o==="/")return{modelBaseUri:"/",manifestUri:`/${e}`};let r=o.startsWith("http://")?"http://":o.startsWith("https://")?"https://":"";o=o.replace(r,"");let n=o.split("/").filter(i=>i),a=o.endsWith(".json")?n[n.length-1]:e,s=r+(o.endsWith(".json")?n.slice(0,n.length-1):n).join("/");return s=o.startsWith("/")?`/${s}`:s,{modelBaseUri:s,manifestUri:s==="/"?`/${a}`:`${s}/${a}`}}async function ao(o,t){let{manifestUri:e,modelBaseUri:r}=mr(o,t),n=await no(e);return Do.io.loadWeights(n,r)}function Yn(o,t,e=!1){let{width:r,height:n}=e?Xt(t):t;return o.width=r,o.height=n,{width:r,height:n}}var ye=v(x());var vt=v(x());var A=class{constructor(t){this._params=void 0;this._paramMappings=[];this._name=t}get params(){return this._params}get paramMappings(){return this._paramMappings}get isLoaded(){return!!this.params}getParamFromPath(t){let{obj:e,objProp:r}=this.traversePropertyPath(t);return e[r]}reassignParamFromPath(t,e){let{obj:r,objProp:n}=this.traversePropertyPath(t);r[n].dispose(),r[n]=e}getParamList(){return this._paramMappings.map(({paramPath:t})=>({path:t,tensor:this.getParamFromPath(t)}))}getTrainableParams(){return this.getParamList().filter(t=>t.tensor instanceof vt.Variable)}getFrozenParams(){return this.getParamList().filter(t=>!(t.tensor instanceof vt.Variable))}variable(){this.getFrozenParams().forEach(({path:t,tensor:e})=>{this.reassignParamFromPath(t,e.variable())})}freeze(){this.getTrainableParams().forEach(({path:t,tensor:e})=>{let r=vt.tensor(e.dataSync());e.dispose(),this.reassignParamFromPath(t,r)})}dispose(t=!0){this.getParamList().forEach(e=>{if(t&&e.tensor.isDisposed)throw new Error(`param tensor has already been disposed for path ${e.path}`);e.tensor.dispose()}),this._params=void 0}serializeParams(){return new Float32Array(this.getParamList().map(({tensor:t})=>Array.from(t.dataSync())).reduce((t,e)=>t.concat(e)))}async load(t){if(t instanceof Float32Array){this.extractWeights(t);return}await this.loadFromUri(t)}async loadFromUri(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromUri - expected model uri`);let e=await ao(t,this.getDefaultModelName());this.loadFromWeightMap(e)}async loadFromDisk(t){if(t&&typeof t!="string")throw new Error(`${this._name}.loadFromDisk - expected model file path`);let{readFile:e}=w.getEnv(),{manifestUri:r,modelBaseUri:n}=mr(t,this.getDefaultModelName()),a=m=>Promise.all(m.map(p=>e(p).then(u=>u.buffer))),s=vt.io.weightsLoaderFactory(a),i=JSON.parse((await e(r)).toString()),c=await s(i,n);this.loadFromWeightMap(c)}loadFromWeightMap(t){let{paramMappings:e,params:r}=this.extractParamsFromWeightMap(t);this._paramMappings=e,this._params=r}extractWeights(t){let{paramMappings:e,params:r}=this.extractParams(t);this._paramMappings=e,this._params=r}traversePropertyPath(t){if(!this.params)throw new Error("traversePropertyPath - model has no loaded params");let e=t.split("/").reduce((a,s)=>{if(!a.nextObj.hasOwnProperty(s))throw new Error(`traversePropertyPath - object does not have property ${s}, for path ${t}`);return{obj:a.nextObj,objProp:s,nextObj:a.nextObj[s]}},{nextObj:this.params}),{obj:r,objProp:n}=e;if(!r||!n||!(r[n]instanceof vt.Tensor))throw new Error(`traversePropertyPath - parameter is not a tensor, for path ${t}`);return{obj:r,objProp:n}}};var I=v(x());var he=v(x());function H(o,t,e){return he.tidy(()=>{let r=he.separableConv2d(o,t.depthwise_filter,t.pointwise_filter,e,"same");return r=he.add(r,t.bias),r})}function pr(o,t,e=!1){return I.tidy(()=>{let r=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,[2,2],"same"),t.conv0.bias):H(o,t.conv0,[2,2])),n=H(r,t.conv1,[1,1]),a=I.relu(I.add(r,n)),s=H(a,t.conv2,[1,1]);return I.relu(I.add(r,I.add(n,s)))})}function ke(o,t,e=!1,r=!0){return I.tidy(()=>{let n=I.relu(e?I.add(I.conv2d(o,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):H(o,t.conv0,r?[2,2]:[1,1])),a=H(n,t.conv1,[1,1]),s=I.relu(I.add(n,a)),i=H(s,t.conv2,[1,1]),c=I.relu(I.add(n,I.add(a,i))),m=H(c,t.conv3,[1,1]);return I.relu(I.add(n,I.add(a,I.add(i,m))))})}var It=v(x());function qt(o,t,e="same",r=!1){return It.tidy(()=>{let n=It.add(It.conv2d(o,t.filters,[1,1],e),t.bias);return r?It.relu(n):n})}function B(o,t){Object.keys(o).forEach(e=>{t.some(r=>r.originalPath===e)||o[e].dispose()})}var ur=v(x());function be(o,t){return(e,r,n,a)=>{let s=ur.tensor4d(o(e*r*n*n),[n,n,e,r]),i=ur.tensor1d(o(r));return t.push({paramPath:`${a}/filters`},{paramPath:`${a}/bias`}),{filters:s,bias:i}}}var fr=v(x());function lr(o,t){return(e,r,n)=>{let a=fr.tensor2d(o(e*r),[e,r]),s=fr.tensor1d(o(r));return t.push({paramPath:`${n}/weights`},{paramPath:`${n}/bias`}),{weights:a,bias:s}}}var Re=v(x());var Be=class{constructor(t,e,r){this.depthwise_filter=t;this.pointwise_filter=e;this.bias=r}};function ge(o,t){return(e,r,n)=>{let a=Re.tensor4d(o(9*e),[3,3,e,1]),s=Re.tensor4d(o(e*r),[1,1,e,r]),i=Re.tensor1d(o(r));return t.push({paramPath:`${n}/depthwise_filter`},{paramPath:`${n}/pointwise_filter`},{paramPath:`${n}/bias`}),new Be(a,s,i)}}function xe(o){return t=>{let e=o(`${t}/depthwise_filter`,4),r=o(`${t}/pointwise_filter`,4),n=o(`${t}/bias`,1);return new Be(e,r,n)}}function Y(o,t){return(e,r,n)=>{let a=o[e];if(!Ot(a,r))throw new Error(`expected weightMap[${e}] to be a Tensor${r}D, instead have ${a}`);return t.push({originalPath:e,paramPath:n||e}),a}}function R(o){let t=o;function e(n){let a=t.slice(0,n);return t=t.slice(n),a}function r(){return t}return{extractWeights:e,getRemainingWeights:r}}function dr(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c,m=!1){let p=m?e(s,i,3,`${c}/conv0`):r(s,i,`${c}/conv0`),u=r(i,i,`${c}/conv1`),f=r(i,i,`${c}/conv2`);return{conv0:p,conv1:u,conv2:f}}function a(s,i,c,m=!1){let{conv0:p,conv1:u,conv2:f}=n(s,i,c,m),l=r(i,i,`${c}/conv3`);return{conv0:p,conv1:u,conv2:f,conv3:l}}return{extractDenseBlock3Params:n,extractDenseBlock4Params:a}}function Eo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock4Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2"),c=n(128,256,"dense3");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i,dense3:c}}}function hr(o){return t=>{let e=o(`${t}/filters`,4),r=o(`${t}/bias`,1);return{filters:e,bias:r}}}function br(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`);return{conv0:m,conv1:p,conv2:u}}function s(i,c=!1){let m=c?r(`${i}/conv0`):n(`${i}/conv0`),p=n(`${i}/conv1`),u=n(`${i}/conv2`),f=n(`${i}/conv3`);return{conv0:m,conv1:p,conv2:u,conv3:f}}return{extractDenseBlock3Params:a,extractDenseBlock4Params:s}}function Mo(o){let t=[],{extractDenseBlock4Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2"),dense3:e("dense3")};return B(o,t),{params:r,paramMappings:t}}var ve=class extends A{constructor(){super("FaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceFeatureExtractor - load model before inference");return ye.tidy(()=>{let r=ye.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=ke(a,e.dense0,!0);return s=ke(s,e.dense1),s=ke(s,e.dense2),s=ke(s,e.dense3),s=ye.avgPool(s,[7,7],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_model"}extractParamsFromWeightMap(t){return Mo(t)}extractParams(t){return Eo(t)}};var No=v(x());var _e=v(x());function $e(o,t){return _e.tidy(()=>_e.add(_e.matMul(o,t.weights),t.bias))}function Co(o,t,e){let r=[],{extractWeights:n,getRemainingWeights:a}=R(o),i=lr(n,r)(t,e,"fc");if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{paramMappings:r,params:{fc:i}}}function Io(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:r("fc")};return B(o,t),{params:n,paramMappings:t}}function gr(o){let t={},e={};return Object.keys(o).forEach(r=>{let n=r.startsWith("fc")?e:t;n[r]=o[r]}),{featureExtractorMap:t,classifierMap:e}}var Te=class extends A{constructor(e,r){super(e);this._faceFeatureExtractor=r}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return No.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e;return $e(n.as2D(n.shape[0],-1),r.fc)})}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return Co(e,this.getClassifierChannelsIn(),this.getClassifierChannelsOut())}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Io(n)}extractParams(e){let r=this.getClassifierChannelsIn(),n=this.getClassifierChannelsOut(),a=n*r+n,s=e.slice(0,e.length-a),i=e.slice(e.length-a);return this.faceFeatureExtractor.extractWeights(s),this.extractClassifierParams(i)}};var so=["neutral","happy","sad","angry","fearful","disgusted","surprised"],yt=class{constructor(t){this.neutral=0;this.happy=0;this.sad=0;this.angry=0;this.fearful=0;this.disgusted=0;this.surprised=0;if(t.length!==7)throw new Error(`FaceExpressions.constructor - expected probabilities.length to be 7, have: ${t.length}`);so.forEach((e,r)=>{this[e]=t[r]})}asSortedArray(){return so.map(t=>({expression:t,probability:this[t]})).sort((t,e)=>e.probability-t.probability)}};var Oe=class extends Te{constructor(t=new ve){super("FaceExpressionNet",t)}forwardInput(t){return we.tidy(()=>we.softmax(this.runNet(t)))}async forward(t){return this.forwardInput(await C(t))}async predictExpressions(t){let e=await C(t),r=await this.forwardInput(e),n=await Promise.all(we.unstack(r).map(async s=>{let i=s.dataSync();return s.dispose(),i}));r.dispose();let a=n.map(s=>new yt(s));return e.isBatchInput?a:a[0]}getDefaultModelName(){return"face_expression_model"}getClassifierChannelsIn(){return 256}getClassifierChannelsOut(){return 7}};function io(o){return o.expressions instanceof yt}function xr(o,t){return{...o,...{expressions:t}}}function Gn(o,t,e=.1,r){(Array.isArray(t)?t:[t]).forEach(a=>{let s=a instanceof yt?a:io(a)?a.expressions:void 0;if(!s)throw new Error("drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof");let c=s.asSortedArray().filter(u=>u.probability>e),m=pt(a)?a.detection.box.bottomLeft:r||new g(0,0);new gt(c.map(u=>`${u.expression} (${Ht(u.probability)})`),m).draw(o)})}function Zt(o){return pt(o)&&o.landmarks instanceof z&&o.unshiftedLandmarks instanceof z&&o.alignedRect instanceof M}function jn(o){let t=c=>c*180/Math.PI,e=(c,m)=>Math.sqrt((c._x-m._x)**2+(c._y-m._y)**2),r={roll:void 0,pitch:void 0,yaw:void 0},n=(c,m,p)=>{let u=Math.floor(c._x-m._x),f=Math.floor(m._x-p._x);return u-f},a=(c,m)=>{let p=Math.hypot(m._x-c._x,m._y-c._y),u=m._y-c._y,f=Math.asin(u/p),l=t(f),b=Math.floor(90-l),y=m._x-c._x<0?-1:1;return b*y},s=(c,m,p)=>{let u=e(c,p),f={_x:(c._x+p._x)/2,_y:(c._y+p._y)/2},l=e(m,f),b=Math.atan(l/u),y=Math.floor(t(b)),F=f._y-m._y<0?-1:1;return y*F};if(!o||!o._positions||o._positions.length!==68)return r;let i=o._positions;return r.roll=a(i[27],i[66]),r.pitch=s(i[14],i[30],i[2]),r.yaw=n(i[14],i[33],i[2]),r}function Pe(o,t){let{box:e}=o.detection,r=t.shiftBy(e.x,e.y),n=r.align(),{imageDims:a}=o.detection,s=new M(o.detection.score,n.rescale(a.reverse()),a),i=jn(t);return{...o,...{landmarks:r,unshiftedLandmarks:t,alignedRect:s,angle:i}}}var vr=class{constructor(t={}){let{drawLines:e=!0,drawPoints:r=!0,lineWidth:n,lineColor:a,pointSize:s,pointColor:i}=t;this.drawLines=e,this.drawPoints=r,this.lineWidth=n||1,this.pointSize=s||2,this.lineColor=a||"rgba(0, 255, 255, 1)",this.pointColor=i||"rgba(255, 0, 255, 1)"}},yr=class{constructor(t,e={}){this.faceLandmarks=t,this.options=new vr(e)}draw(t){let e=O(t),{drawLines:r,drawPoints:n,lineWidth:a,lineColor:s,pointSize:i,pointColor:c}=this.options;if(r&&this.faceLandmarks instanceof Gt&&(e.strokeStyle=s,e.lineWidth=a,dt(e,this.faceLandmarks.getJawOutline()),dt(e,this.faceLandmarks.getLeftEyeBrow()),dt(e,this.faceLandmarks.getRightEyeBrow()),dt(e,this.faceLandmarks.getNose()),dt(e,this.faceLandmarks.getLeftEye(),!0),dt(e,this.faceLandmarks.getRightEye(),!0),dt(e,this.faceLandmarks.getMouth(),!0)),n){e.strokeStyle=c,e.fillStyle=c;let m=p=>{e.beginPath(),e.arc(p.x,p.y,i,0,2*Math.PI),e.fill()};this.faceLandmarks.positions.forEach(m)}}};function Un(o,t){(Array.isArray(t)?t:[t]).forEach(r=>{let n=r instanceof z?r:Zt(r)?r.landmarks:void 0;if(!n)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new yr(n).draw(o)})}var So="1.7.8";var ft=v(x());var S=v(x());function qn(o,t){let e=be(o,t),r=ge(o,t);function n(s,i,c){let m=r(s,i,`${c}/separable_conv0`),p=r(i,i,`${c}/separable_conv1`),u=e(s,i,1,`${c}/expansion_conv`);return{separable_conv0:m,separable_conv1:p,expansion_conv:u}}function a(s,i){let c=r(s,s,`${i}/separable_conv0`),m=r(s,s,`${i}/separable_conv1`),p=r(s,s,`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:e,extractSeparableConvParams:r,extractReductionBlockParams:n,extractMainBlockParams:a}}function Lo(o,t){let e=[],{extractWeights:r,getRemainingWeights:n}=R(o),{extractConvParams:a,extractSeparableConvParams:s,extractReductionBlockParams:i,extractMainBlockParams:c}=qn(r,e),m=a(3,32,3,"entry_flow/conv_in"),p=i(32,64,"entry_flow/reduction_block_0"),u=i(64,128,"entry_flow/reduction_block_1"),f={conv_in:m,reduction_block_0:p,reduction_block_1:u},l={};it(t,0,1).forEach(h=>{l[`main_block_${h}`]=c(128,`middle_flow/main_block_${h}`)});let b=i(128,256,"exit_flow/reduction_block"),y=s(256,512,"exit_flow/separable_conv"),F={reduction_block:b,separable_conv:y};if(n().length!==0)throw new Error(`weights remaing after extract: ${n().length}`);return{paramMappings:e,params:{entry_flow:f,middle_flow:l,exit_flow:F}}}function Zn(o,t){let e=Y(o,t),r=hr(e),n=xe(e);function a(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=r(`${i}/expansion_conv`);return{separable_conv0:c,separable_conv1:m,expansion_conv:p}}function s(i){let c=n(`${i}/separable_conv0`),m=n(`${i}/separable_conv1`),p=n(`${i}/separable_conv2`);return{separable_conv0:c,separable_conv1:m,separable_conv2:p}}return{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}}function Ao(o,t){let e=[],{extractConvParams:r,extractSeparableConvParams:n,extractReductionBlockParams:a,extractMainBlockParams:s}=Zn(o,e),i=r("entry_flow/conv_in"),c=a("entry_flow/reduction_block_0"),m=a("entry_flow/reduction_block_1"),p={conv_in:i,reduction_block_0:c,reduction_block_1:m},u={};it(t,0,1).forEach(y=>{u[`main_block_${y}`]=s(`middle_flow/main_block_${y}`)});let f=a("exit_flow/reduction_block"),l=n("exit_flow/separable_conv"),b={reduction_block:f,separable_conv:l};return B(o,e),{params:{entry_flow:p,middle_flow:u,exit_flow:b},paramMappings:e}}function Wo(o,t,e){return S.add(S.conv2d(o,t.filters,e,"same"),t.bias)}function mo(o,t,e=!0){let r=e?S.relu(o):o;return r=H(r,t.separable_conv0,[1,1]),r=H(S.relu(r),t.separable_conv1,[1,1]),r=S.maxPool(r,[3,3],[2,2],"same"),r=S.add(r,Wo(o,t.expansion_conv,[2,2])),r}function Kn(o,t){let e=H(S.relu(o),t.separable_conv0,[1,1]);return e=H(S.relu(e),t.separable_conv1,[1,1]),e=H(S.relu(e),t.separable_conv2,[1,1]),e=S.add(e,o),e}var _r=class extends A{constructor(e){super("TinyXception");this._numMainBlocks=e}forwardInput(e){let{params:r}=this;if(!r)throw new Error("TinyXception - load model before inference");return S.tidy(()=>{let n=S.cast(e.toBatchTensor(112,!0),"float32"),s=rt(n,[122.782,117.001,104.298]).div(255),i=S.relu(Wo(s,r.entry_flow.conv_in,[2,2]));return i=mo(i,r.entry_flow.reduction_block_0,!1),i=mo(i,r.entry_flow.reduction_block_1),it(this._numMainBlocks,0,1).forEach(c=>{i=Kn(i,r.middle_flow[`main_block_${c}`])}),i=mo(i,r.exit_flow.reduction_block),i=S.relu(H(i,r.exit_flow.separable_conv,[1,1])),i})}async forward(e){return this.forwardInput(await C(e))}getDefaultModelName(){return"tiny_xception_model"}extractParamsFromWeightMap(e){return Ao(e,this._numMainBlocks)}extractParams(e){return Lo(e,this._numMainBlocks)}};function ko(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),n=lr(e,t),a=n(512,1,"fc/age"),s=n(512,2,"fc/gender");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{fc:{age:a,gender:s}}}}function Bo(o){let t=[],e=Y(o,t);function r(a){let s=e(`${a}/weights`,2),i=e(`${a}/bias`,1);return{weights:s,bias:i}}let n={fc:{age:r("fc/age"),gender:r("fc/gender")}};return B(o,t),{params:n,paramMappings:t}}var Tr=(e=>(e.FEMALE="female",e.MALE="male",e))(Tr||{});var He=class extends A{constructor(e=new _r(2)){super("AgeGenderNet");this._faceFeatureExtractor=e}get faceFeatureExtractor(){return this._faceFeatureExtractor}runNet(e){let{params:r}=this;if(!r)throw new Error(`${this._name} - load model before inference`);return ft.tidy(()=>{let n=e instanceof ut?this.faceFeatureExtractor.forwardInput(e):e,a=ft.avgPool(n,[7,7],[2,2],"valid").as2D(n.shape[0],-1),s=$e(a,r.fc.age).as1D(),i=$e(a,r.fc.gender);return{age:s,gender:i}})}forwardInput(e){return ft.tidy(()=>{let{age:r,gender:n}=this.runNet(e);return{age:r,gender:ft.softmax(n)}})}async forward(e){return this.forwardInput(await C(e))}async predictAgeAndGender(e){let r=await C(e),n=await this.forwardInput(r),a=ft.unstack(n.age),s=ft.unstack(n.gender),i=a.map((m,p)=>({ageTensor:m,genderTensor:s[p]})),c=await Promise.all(i.map(async({ageTensor:m,genderTensor:p})=>{let u=m.dataSync()[0],f=p.dataSync()[0],l=f>.5,b=l?"male":"female",y=l?f:1-f;return m.dispose(),p.dispose(),{age:u,gender:b,genderProbability:y}}));return n.age.dispose(),n.gender.dispose(),r.isBatchInput?c:c[0]}getDefaultModelName(){return"age_gender_model"}dispose(e=!0){this.faceFeatureExtractor.dispose(e),super.dispose(e)}loadClassifierParams(e){let{params:r,paramMappings:n}=this.extractClassifierParams(e);this._params=r,this._paramMappings=n}extractClassifierParams(e){return ko(e)}extractParamsFromWeightMap(e){let{featureExtractorMap:r,classifierMap:n}=gr(e);return this.faceFeatureExtractor.loadFromWeightMap(r),Bo(n)}extractParams(e){let n=e.slice(0,e.length-1539),a=e.slice(e.length-1539);return this.faceFeatureExtractor.extractWeights(n),this.extractClassifierParams(a)}};var G=v(x());var Fe=class extends Te{postProcess(t,e,r){let n=r.map(({width:s,height:i})=>{let c=e/Math.max(i,s);return{width:s*c,height:i*c}}),a=n.length;return G.tidy(()=>{let s=(u,f)=>G.stack([G.fill([68],u,"float32"),G.fill([68],f,"float32")],1).as2D(1,136).as1D(),i=(u,f)=>{let{width:l,height:b}=n[u];return f(l,b)?Math.abs(l-b)/2:0},c=u=>i(u,(f,l)=>fi(u,(f,l)=>ls(c(f),m(f))))).div(G.stack(Array.from(Array(a),(u,f)=>s(n[f].width,n[f].height))))})}forwardInput(t){return G.tidy(()=>{let e=this.runNet(t);return this.postProcess(e,t.inputSize,t.inputDimensions.map(([r,n])=>({height:r,width:n})))})}async forward(t){return this.forwardInput(await C(t))}async detectLandmarks(t){let e=await C(t),r=G.tidy(()=>G.unstack(this.forwardInput(e))),n=await Promise.all(r.map(async(a,s)=>{let i=Array.from(a.dataSync()),c=i.filter((p,u)=>rr(u)),m=i.filter((p,u)=>!rr(u));return new Gt(Array(68).fill(0).map((p,u)=>new g(c[u],m[u])),{height:e.getInputHeight(s),width:e.getInputWidth(s)})}));return r.forEach(a=>a.dispose()),e.isBatchInput?n:n[0]}getClassifierChannelsOut(){return 136}};var Kt=class extends Fe{constructor(t=new ve){super("FaceLandmark68Net",t)}getDefaultModelName(){return"face_landmark_68_model"}getClassifierChannelsIn(){return 256}};var De=v(x());function Ro(o){let t=[],{extractDenseBlock3Params:e}=br(o,t),r={dense0:e("dense0",!0),dense1:e("dense1"),dense2:e("dense2")};return B(o,t),{params:r,paramMappings:t}}function $o(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractDenseBlock3Params:n}=dr(e,t),a=n(3,32,"dense0",!0),s=n(32,64,"dense1"),i=n(64,128,"dense2");if(r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{paramMappings:t,params:{dense0:a,dense1:s,dense2:i}}}var wr=class extends A{constructor(){super("TinyFaceFeatureExtractor")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("TinyFaceFeatureExtractor - load model before inference");return De.tidy(()=>{let r=De.cast(t.toBatchTensor(112,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=pr(a,e.dense0,!0);return s=pr(s,e.dense1),s=pr(s,e.dense2),s=De.avgPool(s,[14,14],[2,2],"valid"),s})}async forward(t){return this.forwardInput(await C(t))}getDefaultModelName(){return"face_feature_extractor_tiny_model"}extractParamsFromWeightMap(t){return Ro(t)}extractParams(t){return $o(t)}};var ze=class extends Fe{constructor(t=new wr){super("FaceLandmark68TinyNet",t)}getDefaultModelName(){return"face_landmark_68_tiny_model"}getClassifierChannelsIn(){return 128}};var po=class extends Kt{};var nt=v(x());var Ee=v(x());var Pr=v(x());function Oo(o,t){return Pr.add(Pr.mul(o,t.weights),t.biases)}function uo(o,t,e,r,n="same"){let{filters:a,bias:s}=t.conv,i=Ee.conv2d(o,a,e,n);return i=Ee.add(i,s),i=Oo(i,t.scale),r?Ee.relu(i):i}function Ho(o,t){return uo(o,t,[1,1],!0)}function fo(o,t){return uo(o,t,[1,1],!1)}function Fr(o,t){return uo(o,t,[2,2],!0,"valid")}var j=v(x());function Qn(o,t){function e(i,c,m){let p=o(i),u=p.length/(c*m*m);if($r(u))throw new Error(`depth has to be an integer: ${u}, weights.length: ${p.length}, numFilters: ${c}, filterSize: ${m}`);return j.tidy(()=>j.transpose(j.tensor4d(p,[c,u,m,m]),[2,3,1,0]))}function r(i,c,m,p){let u=e(i,c,m),f=j.tensor1d(o(c));return t.push({paramPath:`${p}/filters`},{paramPath:`${p}/bias`}),{filters:u,bias:f}}function n(i,c){let m=j.tensor1d(o(i)),p=j.tensor1d(o(i));return t.push({paramPath:`${c}/weights`},{paramPath:`${c}/biases`}),{weights:m,biases:p}}function a(i,c,m,p){let u=r(i,c,m,`${p}/conv`),f=n(c,`${p}/scale`);return{conv:u,scale:f}}function s(i,c,m,p,u=!1){let f=a((u?.5:1)*i,c,m,`${p}/conv1`),l=a(i,c,m,`${p}/conv2`);return{conv1:f,conv2:l}}return{extractConvLayerParams:a,extractResidualLayerParams:s}}function zo(o){let{extractWeights:t,getRemainingWeights:e}=R(o),r=[],{extractConvLayerParams:n,extractResidualLayerParams:a}=Qn(t,r),s=n(4704,32,7,"conv32_down"),i=a(9216,32,3,"conv32_1"),c=a(9216,32,3,"conv32_2"),m=a(9216,32,3,"conv32_3"),p=a(36864,64,3,"conv64_down",!0),u=a(36864,64,3,"conv64_1"),f=a(36864,64,3,"conv64_2"),l=a(36864,64,3,"conv64_3"),b=a(147456,128,3,"conv128_down",!0),y=a(147456,128,3,"conv128_1"),F=a(147456,128,3,"conv128_2"),h=a(589824,256,3,"conv256_down",!0),T=a(589824,256,3,"conv256_1"),_=a(589824,256,3,"conv256_2"),E=a(589824,256,3,"conv256_down_out"),W=j.tidy(()=>j.transpose(j.tensor2d(t(256*128),[128,256]),[1,0]));if(r.push({paramPath:"fc"}),e().length!==0)throw new Error(`weights remaing after extract: ${e().length}`);return{params:{conv32_down:s,conv32_1:i,conv32_2:c,conv32_3:m,conv64_down:p,conv64_1:u,conv64_2:f,conv64_3:l,conv128_down:b,conv128_1:y,conv128_2:F,conv256_down:h,conv256_1:T,conv256_2:_,conv256_down_out:E,fc:W},paramMappings:r}}function ta(o,t){let e=Y(o,t);function r(s){let i=e(`${s}/scale/weights`,1),c=e(`${s}/scale/biases`,1);return{weights:i,biases:c}}function n(s){let i=e(`${s}/conv/filters`,4),c=e(`${s}/conv/bias`,1),m=r(s);return{conv:{filters:i,bias:c},scale:m}}function a(s){return{conv1:n(`${s}/conv1`),conv2:n(`${s}/conv2`)}}return{extractConvLayerParams:n,extractResidualLayerParams:a}}function Vo(o){let t=[],{extractConvLayerParams:e,extractResidualLayerParams:r}=ta(o,t),n=e("conv32_down"),a=r("conv32_1"),s=r("conv32_2"),i=r("conv32_3"),c=r("conv64_down"),m=r("conv64_1"),p=r("conv64_2"),u=r("conv64_3"),f=r("conv128_down"),l=r("conv128_1"),b=r("conv128_2"),y=r("conv256_down"),F=r("conv256_1"),h=r("conv256_2"),T=r("conv256_down_out"),{fc:_}=o;if(t.push({originalPath:"fc",paramPath:"fc"}),!Rr(_))throw new Error(`expected weightMap[fc] to be a Tensor2D, instead have ${_}`);let E={conv32_down:n,conv32_1:a,conv32_2:s,conv32_3:i,conv64_down:c,conv64_1:m,conv64_2:p,conv64_3:u,conv128_down:f,conv128_1:l,conv128_2:b,conv256_down:y,conv256_1:F,conv256_2:h,conv256_down_out:T,fc:_};return B(o,t),{params:E,paramMappings:t}}var $=v(x());function ot(o,t){let e=Ho(o,t.conv1);return e=fo(e,t.conv2),e=$.add(e,o),e=$.relu(e),e}function Ve(o,t){let e=Fr(o,t.conv1);e=fo(e,t.conv2);let r=$.avgPool(o,2,2,"valid"),n=$.zeros(r.shape),a=r.shape[3]!==e.shape[3];if(r.shape[1]!==e.shape[1]||r.shape[2]!==e.shape[2]){let i=[...e.shape];i[1]=1;let c=$.zeros(i);e=$.concat([e,c],1);let m=[...e.shape];m[2]=1;let p=$.zeros(m);e=$.concat([e,p],2)}return r=a?$.concat([r,n],3):r,e=$.add(r,e),e=$.relu(e),e}var Qt=class extends A{constructor(){super("FaceRecognitionNet")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("FaceRecognitionNet - load model before inference");return nt.tidy(()=>{let r=nt.cast(t.toBatchTensor(150,!0),"float32"),a=rt(r,[122.782,117.001,104.298]).div(255),s=Fr(a,e.conv32_down);s=nt.maxPool(s,3,2,"valid"),s=ot(s,e.conv32_1),s=ot(s,e.conv32_2),s=ot(s,e.conv32_3),s=Ve(s,e.conv64_down),s=ot(s,e.conv64_1),s=ot(s,e.conv64_2),s=ot(s,e.conv64_3),s=Ve(s,e.conv128_down),s=ot(s,e.conv128_1),s=ot(s,e.conv128_2),s=Ve(s,e.conv256_down),s=ot(s,e.conv256_1),s=ot(s,e.conv256_2),s=Ve(s,e.conv256_down_out);let i=s.mean([1,2]);return nt.matMul(i,e.fc)})}async forward(t){return this.forwardInput(await C(t))}async computeFaceDescriptor(t){var a;if((a=t==null?void 0:t.shape)!=null&&a.some(s=>s<=0))return new Float32Array(128);let e=await C(t),r=nt.tidy(()=>nt.unstack(this.forwardInput(e))),n=await Promise.all(r.map(s=>s.data()));return r.forEach(s=>s.dispose()),e.isBatchInput?n:n[0]}getDefaultModelName(){return"face_recognition_model"}extractParamsFromWeightMap(t){return Vo(t)}extractParams(t){return zo(t)}};function ea(o){let t=new Qt;return t.extractWeights(o),t}function Dr(o,t){return{...o,...{descriptor:t}}}function ra(o){return typeof o.age=="number"}function Er(o,t){return{...o,...{age:t}}}function oa(o){return(o.gender==="male"||o.gender==="female")&&me(o.genderProbability)}function Mr(o,t,e){return{...o,...{gender:t,genderProbability:e}}}var Lt=v(x());var at=v(x());function na(o,t){function e(c,m){let p=at.tensor4d(o(9*c),[3,3,c,1]),u=at.tensor1d(o(c)),f=at.tensor1d(o(c)),l=at.tensor1d(o(c)),b=at.tensor1d(o(c));return t.push({paramPath:`${m}/filters`},{paramPath:`${m}/batch_norm_scale`},{paramPath:`${m}/batch_norm_offset`},{paramPath:`${m}/batch_norm_mean`},{paramPath:`${m}/batch_norm_variance`}),{filters:p,batch_norm_scale:u,batch_norm_offset:f,batch_norm_mean:l,batch_norm_variance:b}}function r(c,m,p,u,f){let l=at.tensor4d(o(c*m*p*p),[p,p,c,m]),b=at.tensor1d(o(m));return t.push({paramPath:`${u}/filters`},{paramPath:`${u}/${f?"batch_norm_offset":"bias"}`}),{filters:l,bias:b}}function n(c,m,p,u){let{filters:f,bias:l}=r(c,m,p,u,!0);return{filters:f,batch_norm_offset:l}}function a(c,m,p){let u=e(c,`${p}/depthwise_conv`),f=n(c,m,1,`${p}/pointwise_conv`);return{depthwise_conv:u,pointwise_conv:f}}function s(){let c=n(3,32,3,"mobilenetv1/conv_0"),m=a(32,64,"mobilenetv1/conv_1"),p=a(64,128,"mobilenetv1/conv_2"),u=a(128,128,"mobilenetv1/conv_3"),f=a(128,256,"mobilenetv1/conv_4"),l=a(256,256,"mobilenetv1/conv_5"),b=a(256,512,"mobilenetv1/conv_6"),y=a(512,512,"mobilenetv1/conv_7"),F=a(512,512,"mobilenetv1/conv_8"),h=a(512,512,"mobilenetv1/conv_9"),T=a(512,512,"mobilenetv1/conv_10"),_=a(512,512,"mobilenetv1/conv_11"),E=a(512,1024,"mobilenetv1/conv_12"),W=a(1024,1024,"mobilenetv1/conv_13");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,conv_8:F,conv_9:h,conv_10:T,conv_11:_,conv_12:E,conv_13:W}}function i(){let c=n(1024,256,1,"prediction_layer/conv_0"),m=n(256,512,3,"prediction_layer/conv_1"),p=n(512,128,1,"prediction_layer/conv_2"),u=n(128,256,3,"prediction_layer/conv_3"),f=n(256,128,1,"prediction_layer/conv_4"),l=n(128,256,3,"prediction_layer/conv_5"),b=n(256,64,1,"prediction_layer/conv_6"),y=n(64,128,3,"prediction_layer/conv_7"),F=r(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),h=r(512,9,1,"prediction_layer/box_predictor_0/class_predictor"),T=r(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),_=r(1024,18,1,"prediction_layer/box_predictor_1/class_predictor"),E=r(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),W=r(512,18,1,"prediction_layer/box_predictor_2/class_predictor"),tt=r(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),lt=r(256,18,1,"prediction_layer/box_predictor_3/class_predictor"),q=r(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),Dt=r(256,18,1,"prediction_layer/box_predictor_4/class_predictor"),Et=r(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),Mt=r(128,18,1,"prediction_layer/box_predictor_5/class_predictor");return{conv_0:c,conv_1:m,conv_2:p,conv_3:u,conv_4:f,conv_5:l,conv_6:b,conv_7:y,box_predictor_0:{box_encoding_predictor:F,class_predictor:h},box_predictor_1:{box_encoding_predictor:T,class_predictor:_},box_predictor_2:{box_encoding_predictor:E,class_predictor:W},box_predictor_3:{box_encoding_predictor:tt,class_predictor:lt},box_predictor_4:{box_encoding_predictor:q,class_predictor:Dt},box_predictor_5:{box_encoding_predictor:Et,class_predictor:Mt}}}return{extractMobilenetV1Params:s,extractPredictionLayerParams:i}}function Yo(o){let t=[],{extractWeights:e,getRemainingWeights:r}=R(o),{extractMobilenetV1Params:n,extractPredictionLayerParams:a}=na(e,t),s=n(),i=a(),m={extra_dim:at.tensor3d(e(5118*4),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),r().length!==0)throw new Error(`weights remaing after extract: ${r().length}`);return{params:{mobilenetv1:s,prediction_layer:i,output_layer:m},paramMappings:t}}function aa(o,t){let e=Y(o,t);function r(m,p,u){let f=e(`${m}/Conv2d_${p}_pointwise/weights`,4,`${u}/filters`),l=e(`${m}/Conv2d_${p}_pointwise/convolution_bn_offset`,1,`${u}/batch_norm_offset`);return{filters:f,batch_norm_offset:l}}function n(m){let p=`mobilenetv1/conv_${m}`,u=`MobilenetV1/Conv2d_${m}_depthwise`,f=`${p}/depthwise_conv`,l=`${p}/pointwise_conv`,b=e(`${u}/depthwise_weights`,4,`${f}/filters`),y=e(`${u}/BatchNorm/gamma`,1,`${f}/batch_norm_scale`),F=e(`${u}/BatchNorm/beta`,1,`${f}/batch_norm_offset`),h=e(`${u}/BatchNorm/moving_mean`,1,`${f}/batch_norm_mean`),T=e(`${u}/BatchNorm/moving_variance`,1,`${f}/batch_norm_variance`);return{depthwise_conv:{filters:b,batch_norm_scale:y,batch_norm_offset:F,batch_norm_mean:h,batch_norm_variance:T},pointwise_conv:r("MobilenetV1",m,l)}}function a(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}}function s(m,p){let u=e(`${m}/weights`,4,`${p}/filters`),f=e(`${m}/biases`,1,`${p}/bias`);return{filters:u,bias:f}}function i(m){let p=s(`Prediction/BoxPredictor_${m}/BoxEncodingPredictor`,`prediction_layer/box_predictor_${m}/box_encoding_predictor`),u=s(`Prediction/BoxPredictor_${m}/ClassPredictor`,`prediction_layer/box_predictor_${m}/class_predictor`);return{box_encoding_predictor:p,class_predictor:u}}function c(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:i(0),box_predictor_1:i(1),box_predictor_2:i(2),box_predictor_3:i(3),box_predictor_4:i(4),box_predictor_5:i(5)}}return{extractMobilenetV1Params:a,extractPredictionLayerParams:c}}function Go(o){let t=[],{extractMobilenetV1Params:e,extractPredictionLayerParams:r}=aa(o,t),n=o["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!ht(n))throw new Error(`expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have ${n}`);let a={mobilenetv1:e(),prediction_layer:r(),output_layer:{extra_dim:n}};return B(o,t),{params:a,paramMappings:t}}var _t=v(x());var Nt=v(x());function Z(o,t,e){return Nt.tidy(()=>{let r=Nt.conv2d(o,t.filters,e,"same");return r=Nt.add(r,t.batch_norm_offset),Nt.clipByValue(r,0,6)})}var sa=.0010000000474974513;function ia(o,t,e){return _t.tidy(()=>{let r=_t.depthwiseConv2d(o,t.filters,e,"same");return r=_t.batchNorm(r,t.batch_norm_mean,t.batch_norm_variance,t.batch_norm_offset,t.batch_norm_scale,sa),_t.clipByValue(r,0,6)})}function ca(o){return[2,4,6,12].some(t=>t===o)?[2,2]:[1,1]}function jo(o,t){return _t.tidy(()=>{let e,r=Z(o,t.conv_0,[2,2]);if([t.conv_1,t.conv_2,t.conv_3,t.conv_4,t.conv_5,t.conv_6,t.conv_7,t.conv_8,t.conv_9,t.conv_10,t.conv_11,t.conv_12,t.conv_13].forEach((a,s)=>{let i=s+1,c=ca(i);r=ia(r,a.depthwise_conv,c),r=Z(r,a.pointwise_conv,[1,1]),i===11&&(e=r)}),e===null)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:r,conv11:e}})}function ma(o,t,e){let r=o.arraySync(),n=Math.min(r[t][0],r[t][2]),a=Math.min(r[t][1],r[t][3]),s=Math.max(r[t][0],r[t][2]),i=Math.max(r[t][1],r[t][3]),c=Math.min(r[e][0],r[e][2]),m=Math.min(r[e][1],r[e][3]),p=Math.max(r[e][0],r[e][2]),u=Math.max(r[e][1],r[e][3]),f=(s-n)*(i-a),l=(p-c)*(u-m);if(f<=0||l<=0)return 0;let b=Math.max(n,c),y=Math.max(a,m),F=Math.min(s,p),h=Math.min(i,u),T=Math.max(F-b,0)*Math.max(h-y,0);return T/(f+l-T)}function Uo(o,t,e,r,n){let a=o.shape[0],s=Math.min(e,a),i=t.map((p,u)=>({score:p,boxIndex:u})).filter(p=>p.score>n).sort((p,u)=>u.score-p.score),c=p=>p<=r?1:0,m=[];return i.forEach(p=>{if(m.length>=s)return;let u=p.score;for(let f=m.length-1;f>=0;--f){let l=ma(o,p.boxIndex,m[f]);if(l!==0&&(p.score*=c(l),p.score<=n))break}u===p.score&&m.push(p.boxIndex)}),m}var d=v(x());function pa(o){let t=d.unstack(d.transpose(o,[1,0])),e=[d.sub(t[2],t[0]),d.sub(t[3],t[1])],r=[d.add(t[0],d.div(e[0],2)),d.add(t[1],d.div(e[1],2))];return{sizes:e,centers:r}}function ua(o,t){let{sizes:e,centers:r}=pa(o),n=d.unstack(d.transpose(t,[1,0])),a=d.div(d.mul(d.exp(d.div(n[2],5)),e[0]),2),s=d.add(d.mul(d.div(n[0],10),e[0]),r[0]),i=d.div(d.mul(d.exp(d.div(n[3],5)),e[1]),2),c=d.add(d.mul(d.div(n[1],10),e[1]),r[1]);return d.transpose(d.stack([d.sub(s,a),d.sub(c,i),d.add(s,a),d.add(c,i)]),[1,0])}function Xo(o,t,e){return d.tidy(()=>{let r=o.shape[0],n=ua(d.reshape(d.tile(e.extra_dim,[r,1,1]),[-1,4]),d.reshape(o,[-1,4]));n=d.reshape(n,[r,n.shape[0]/r,4]);let a=d.sigmoid(d.slice(t,[0,0,1],[-1,-1,-1])),s=d.slice(a,[0,0,0],[-1,-1,1]);s=d.reshape(s,[r,s.shape[1]]);let i=d.unstack(n),c=d.unstack(s);return{boxes:i,scores:c}})}var Ge=v(x());var Ye=v(x());function te(o,t){return Ye.tidy(()=>{let e=o.shape[0],r=Ye.reshape(qt(o,t.box_encoding_predictor),[e,-1,1,4]),n=Ye.reshape(qt(o,t.class_predictor),[e,-1,3]);return{boxPredictionEncoding:r,classPrediction:n}})}function Jo(o,t,e){return Ge.tidy(()=>{let r=Z(o,e.conv_0,[1,1]),n=Z(r,e.conv_1,[2,2]),a=Z(n,e.conv_2,[1,1]),s=Z(a,e.conv_3,[2,2]),i=Z(s,e.conv_4,[1,1]),c=Z(i,e.conv_5,[2,2]),m=Z(c,e.conv_6,[1,1]),p=Z(m,e.conv_7,[2,2]),u=te(t,e.box_predictor_0),f=te(o,e.box_predictor_1),l=te(n,e.box_predictor_2),b=te(s,e.box_predictor_3),y=te(c,e.box_predictor_4),F=te(p,e.box_predictor_5),h=Ge.concat([u.boxPredictionEncoding,f.boxPredictionEncoding,l.boxPredictionEncoding,b.boxPredictionEncoding,y.boxPredictionEncoding,F.boxPredictionEncoding],1),T=Ge.concat([u.classPrediction,f.classPrediction,l.classPrediction,b.classPrediction,y.classPrediction,F.classPrediction],1);return{boxPredictions:h,classPredictions:T}})}var X=class{constructor({minConfidence:t,maxResults:e}={}){this._name="SsdMobilenetv1Options";if(this._minConfidence=t||.5,this._maxResults=e||100,typeof this._minConfidence!="number"||this._minConfidence<=0||this._minConfidence>=1)throw new Error(`${this._name} - expected minConfidence to be a number between 0 and 1`);if(typeof this._maxResults!="number")throw new Error(`${this._name} - expected maxResults to be a number`)}get minConfidence(){return this._minConfidence}get maxResults(){return this._maxResults}};var St=class extends A{constructor(){super("SsdMobilenetv1")}forwardInput(t){let{params:e}=this;if(!e)throw new Error("SsdMobilenetv1 - load model before inference");return Lt.tidy(()=>{let r=Lt.cast(t.toBatchTensor(512,!1),"float32"),n=Lt.sub(Lt.div(r,127.5),1),a=jo(n,e.mobilenetv1),{boxPredictions:s,classPredictions:i}=Jo(a.out,a.conv11,e.prediction_layer);return Xo(s,i,e.output_layer)})}async forward(t){return this.forwardInput(await C(t))}async locateFaces(t,e={}){let{maxResults:r,minConfidence:n}=new X(e),a=await C(t),{boxes:s,scores:i}=this.forwardInput(a),c=s[0],m=i[0];for(let _=1;_{let[E,W]=[Math.max(0,h[_][0]),Math.min(1,h[_][2])].map(q=>q*F),[tt,lt]=[Math.max(0,h[_][1]),Math.min(1,h[_][3])].map(q=>q*y);return new M(p[_],new Yt(tt,E,lt-tt,W-E),{height:a.getInputHeight(0),width:a.getInputWidth(0)})});return c.dispose(),m.dispose(),T}getDefaultModelName(){return"ssd_mobilenetv1_model"}extractParamsFromWeightMap(t){return Go(t)}extractParams(t){return Yo(t)}};function qo(o){let t=new St;return t.extractWeights(o),t}function fa(o){return qo(o)}var lo=class extends St{};var Zo=.4,Ko=[new g(.738768,.874946),new g(2.42204,2.65704),new g(4.30971,7.04493),new g(10.246,4.59428),new g(12.6868,11.8741)],Qo=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],tn=[117.001,114.697,97.404],en="tiny_yolov2_model",rn="tiny_yolov2_separable_conv_model";var N=v(x());var Cr=o=>typeof o=="number";function ho(o){if(!o)throw new Error(`invalid config: ${o}`);if(typeof o.withSeparableConvs!="boolean")throw new Error(`config.withSeparableConvs has to be a boolean, have: ${o.withSeparableConvs}`);if(!Cr(o.iouThreshold)||o.iouThreshold<0||o.iouThreshold>1)throw new Error(`config.iouThreshold has to be a number between [0, 1], have: ${o.iouThreshold}`);if(!Array.isArray(o.classes)||!o.classes.length||!o.classes.every(t=>typeof t=="string"))throw new Error(`config.classes has to be an array class names: string[], have: ${JSON.stringify(o.classes)}`);if(!Array.isArray(o.anchors)||!o.anchors.length||!o.anchors.map(t=>t||{}).every(t=>Cr(t.x)&&Cr(t.y)))throw new Error(`config.anchors has to be an array of { x: number, y: number }, have: ${JSON.stringify(o.anchors)}`);if(o.meanRgb&&(!Array.isArray(o.meanRgb)||o.meanRgb.length!==3||!o.meanRgb.every(Cr)))throw new Error(`config.meanRgb has to be an array of shape [number, number, number], have: ${JSON.stringify(o.meanRgb)}`)}var Q=v(x());var K=v(x());function Me(o){return K.tidy(()=>{let t=K.mul(o,K.scalar(.10000000149011612));return K.add(K.relu(K.sub(o,t)),t)})}function Tt(o,t){return Q.tidy(()=>{let e=Q.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=Q.conv2d(e,t.conv.filters,[1,1],"valid"),e=Q.sub(e,t.bn.sub),e=Q.mul(e,t.bn.truediv),e=Q.add(e,t.conv.bias),Me(e)})}var At=v(x());function wt(o,t){return At.tidy(()=>{let e=At.pad(o,[[0,0],[1,1],[1,1],[0,0]]);return e=At.separableConv2d(e,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),e=At.add(e,t.bias),Me(e)})}var bo=v(x());function la(o,t){let e=be(o,t);function r(s,i){let c=bo.tensor1d(o(s)),m=bo.tensor1d(o(s));return t.push({paramPath:`${i}/sub`},{paramPath:`${i}/truediv`}),{sub:c,truediv:m}}function n(s,i,c){let m=e(s,i,3,`${c}/conv`),p=r(i,`${c}/bn`);return{conv:m,bn:p}}let a=ge(o,t);return{extractConvParams:e,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}}function on(o,t,e,r){let{extractWeights:n,getRemainingWeights:a}=R(o),s=[],{extractConvParams:i,extractConvWithBatchNormParams:c,extractSeparableConvParams:m}=la(n,s),p;if(t.withSeparableConvs){let[u,f,l,b,y,F,h,T,_]=r,E=t.isFirstLayerConv2d?i(u,f,3,"conv0"):m(u,f,"conv0"),W=m(f,l,"conv1"),tt=m(l,b,"conv2"),lt=m(b,y,"conv3"),q=m(y,F,"conv4"),Dt=m(F,h,"conv5"),Et=T?m(h,T,"conv6"):void 0,Mt=_?m(T,_,"conv7"):void 0,$t=i(_||T||h,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}else{let[u,f,l,b,y,F,h,T,_]=r,E=c(u,f,"conv0"),W=c(f,l,"conv1"),tt=c(l,b,"conv2"),lt=c(b,y,"conv3"),q=c(y,F,"conv4"),Dt=c(F,h,"conv5"),Et=c(h,T,"conv6"),Mt=c(T,_,"conv7"),$t=i(_,5*e,1,"conv8");p={conv0:E,conv1:W,conv2:tt,conv3:lt,conv4:q,conv5:Dt,conv6:Et,conv7:Mt,conv8:$t}}if(a().length!==0)throw new Error(`weights remaing after extract: ${a().length}`);return{params:p,paramMappings:s}}function da(o,t){let e=Y(o,t);function r(i){let c=e(`${i}/sub`,1),m=e(`${i}/truediv`,1);return{sub:c,truediv:m}}function n(i){let c=e(`${i}/filters`,4),m=e(`${i}/bias`,1);return{filters:c,bias:m}}function a(i){let c=n(`${i}/conv`),m=r(`${i}/bn`);return{conv:c,bn:m}}let s=xe(e);return{extractConvParams:n,extractConvWithBatchNormParams:a,extractSeparableConvParams:s}}function nn(o,t){let e=[],{extractConvParams:r,extractConvWithBatchNormParams:n,extractSeparableConvParams:a}=da(o,e),s;if(t.withSeparableConvs){let i=t.filterSizes&&t.filterSizes.length||9;s={conv0:t.isFirstLayerConv2d?r("conv0"):a("conv0"),conv1:a("conv1"),conv2:a("conv2"),conv3:a("conv3"),conv4:a("conv4"),conv5:a("conv5"),conv6:i>7?a("conv6"):void 0,conv7:i>8?a("conv7"):void 0,conv8:r("conv8")}}else s={conv0:n("conv0"),conv1:n("conv1"),conv2:n("conv2"),conv3:n("conv3"),conv4:n("conv4"),conv5:n("conv5"),conv6:n("conv6"),conv7:n("conv7"),conv8:r("conv8")};return B(o,e),{params:s,paramMappings:e}}var st=class{constructor({inputSize:t,scoreThreshold:e}={}){this._name="TinyYolov2Options";if(this._inputSize=t||416,this._scoreThreshold=e||.5,typeof this._inputSize!="number"||this._inputSize%32!==0)throw new Error(`${this._name} - expected inputSize to be a number divisible by 32`);if(typeof this._scoreThreshold!="number"||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(`${this._name} - expected scoreThreshold to be a number between 0 and 1`)}get inputSize(){return this._inputSize}get scoreThreshold(){return this._scoreThreshold}};var go=class extends A{constructor(e){super("TinyYolov2");ho(e),this._config=e}get config(){return this._config}get withClassScores(){return this.config.withClassScores||this.config.classes.length>1}get boxEncodingSize(){return 5+(this.withClassScores?this.config.classes.length:0)}runTinyYolov2(e,r){let n=Tt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=Tt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=Tt(n,r.conv6),n=Tt(n,r.conv7),qt(n,r.conv8,"valid",!1)}runMobilenet(e,r){let n=this.config.isFirstLayerConv2d?Me(qt(e,r.conv0,"valid",!1)):wt(e,r.conv0);return n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv1),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv2),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv3),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv4),n=N.maxPool(n,[2,2],[2,2],"same"),n=wt(n,r.conv5),n=N.maxPool(n,[2,2],[1,1],"same"),n=r.conv6?wt(n,r.conv6):n,n=r.conv7?wt(n,r.conv7):n,qt(n,r.conv8,"valid",!1)}forwardInput(e,r){let{params:n}=this;if(!n)throw new Error("TinyYolov2 - load model before inference");return N.tidy(()=>{let a=N.cast(e.toBatchTensor(r,!1),"float32");return a=this.config.meanRgb?rt(a,this.config.meanRgb):a,a=a.div(255),this.config.withSeparableConvs?this.runMobilenet(a,n):this.runTinyYolov2(a,n)})}async forward(e,r){return this.forwardInput(await C(e),r)}async detect(e,r={}){let{inputSize:n,scoreThreshold:a}=new st(r),s=await C(e),i=await this.forwardInput(s,n),c=N.tidy(()=>N.unstack(i)[0].expandDims()),m={width:s.getInputWidth(0),height:s.getInputHeight(0)},p=await this.extractBoxes(c,s.getReshapedInputDimensions(0),a);i.dispose(),c.dispose();let u=p.map(h=>h.box),f=p.map(h=>h.score),l=p.map(h=>h.classScore),b=p.map(h=>this.config.classes[h.label]);return Yr(u.map(h=>h.rescale(n)),f,this.config.iouThreshold,!0).map(h=>new bt(f[h],l[h],b[h],u[h],m))}getDefaultModelName(){return""}extractParamsFromWeightMap(e){return nn(e,this.config)}extractParams(e){let r=this.config.filterSizes||go.DEFAULT_FILTER_SIZES,n=r?r.length:void 0;if(n!==7&&n!==8&&n!==9)throw new Error(`TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found ${n} filterSizes in config`);return on(e,this.config,this.boxEncodingSize,r)}async extractBoxes(e,r,n){let{width:a,height:s}=r,i=Math.max(a,s),c=i/a,m=i/s,p=e.shape[1],u=this.config.anchors.length,[f,l,b]=N.tidy(()=>{let T=e.reshape([p,p,u,this.boxEncodingSize]),_=T.slice([0,0,0,0],[p,p,u,4]),E=T.slice([0,0,0,4],[p,p,u,1]),W=this.withClassScores?N.softmax(T.slice([0,0,0,5],[p,p,u,this.config.classes.length]),3):N.scalar(0);return[_,E,W]}),y=[],F=await l.array(),h=await f.array();for(let T=0;Tn){let tt=(_+Ne(h[T][_][E][0]))/p*c,lt=(T+Ne(h[T][_][E][1]))/p*m,q=Math.exp(h[T][_][E][2])*this.config.anchors[E].x/p*c,Dt=Math.exp(h[T][_][E][3])*this.config.anchors[E].y/p*m,Et=tt-q/2,Mt=lt-Dt/2,$t={row:T,col:_,anchor:E},{classScore:yo,label:_o}=this.withClassScores?await this.extractPredictedClass(b,$t):{classScore:1,label:0};y.push({box:new Vt(Et,Mt,Et+q,Mt+Dt),score:W,classScore:W*yo,label:_o,...$t})}}return f.dispose(),l.dispose(),b.dispose(),y}async extractPredictedClass(e,r){let{row:n,col:a,anchor:s}=r,i=await e.array();return Array(this.config.classes.length).fill(0).map((c,m)=>i[n][a][s][m]).map((c,m)=>({classScore:c,label:m})).reduce((c,m)=>c.classScore>m.classScore?c:m)}},ee=go;ee.DEFAULT_FILTER_SIZES=[3,16,32,64,128,256,512,1024,1024];var re=class extends ee{constructor(t=!0){let e={withSeparableConvs:t,iouThreshold:Zo,classes:["face"],...t?{anchors:Qo,meanRgb:tn}:{anchors:Ko,withClassScores:!0}};super(e)}get withSeparableConvs(){return this.config.withSeparableConvs}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return this.withSeparableConvs?rn:en}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};function ha(o,t=!0){let e=new re(t);return e.extractWeights(o),e}var je=class extends st{constructor(){super(...arguments);this._name="TinyFaceDetectorOptions"}};var J=class{async then(t){return t(await this.run())}async run(){throw new Error("ComposableTask - run is not implemented")}};var Xe=v(x());var xo=v(x());async function oe(o,t,e,r,n=({alignedRect:a})=>a){let a=o.map(c=>Zt(c)?n(c):c.detection),s=r||(t instanceof xo.Tensor?await de(t,a):await le(t,a)),i=await e(s);return s.forEach(c=>c instanceof xo.Tensor&&c.dispose()),i}async function Ce(o,t,e,r,n){return oe([o],t,async a=>e(a[0]),r,n)}var an=.4,sn=[new g(1.603231,2.094468),new g(6.041143,7.080126),new g(2.882459,3.518061),new g(4.266906,5.178857),new g(9.041765,10.66308)],cn=[117.001,114.697,97.404];var ne=class extends ee{constructor(){let t={withSeparableConvs:!0,iouThreshold:an,classes:["face"],anchors:sn,meanRgb:cn,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};super(t)}get anchors(){return this.config.anchors}async locateFaces(t,e){return(await this.detect(t,e)).map(n=>new M(n.score,n.relativeBox,{width:n.imageWidth,height:n.imageHeight}))}getDefaultModelName(){return"tiny_face_detector_model"}extractParamsFromWeightMap(t){return super.extractParamsFromWeightMap(t)}};var P={ssdMobilenetv1:new St,tinyFaceDetector:new ne,tinyYolov2:new re,faceLandmark68Net:new Kt,faceLandmark68TinyNet:new ze,faceRecognitionNet:new Qt,faceExpressionNet:new Oe,ageGenderNet:new He},mn=(o,t)=>P.ssdMobilenetv1.locateFaces(o,t),ba=(o,t)=>P.tinyFaceDetector.locateFaces(o,t),ga=(o,t)=>P.tinyYolov2.locateFaces(o,t),pn=o=>P.faceLandmark68Net.detectLandmarks(o),xa=o=>P.faceLandmark68TinyNet.detectLandmarks(o),va=o=>P.faceRecognitionNet.computeFaceDescriptor(o),ya=o=>P.faceExpressionNet.predictExpressions(o),_a=o=>P.ageGenderNet.predictAgeAndGender(o),un=o=>P.ssdMobilenetv1.load(o),Ta=o=>P.tinyFaceDetector.load(o),wa=o=>P.tinyYolov2.load(o),Pa=o=>P.faceLandmark68Net.load(o),Fa=o=>P.faceLandmark68TinyNet.load(o),Da=o=>P.faceRecognitionNet.load(o),Ea=o=>P.faceExpressionNet.load(o),Ma=o=>P.ageGenderNet.load(o),Ca=un,Ia=mn,Na=pn;var Ir=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ae=class extends Ir{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.faceExpressionNet.predictExpressions(n))),this.extractedFaces);return t.map((r,n)=>xr(r,e[n]))}withAgeAndGender(){return new ie(this,this.input)}},se=class extends Ir{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceExpressionNet.predictExpressions(r),this.extractedFaces);return xr(t,e)}withAgeAndGender(){return new ce(this,this.input)}},Wt=class extends ae{withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},kt=class extends se{withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Nr=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.extractedFaces=n}},ie=class extends Nr{async run(){let t=await this.parentTask,e=await oe(t,this.input,async r=>Promise.all(r.map(n=>P.ageGenderNet.predictAgeAndGender(n))),this.extractedFaces);return t.map((r,n)=>{let{age:a,gender:s,genderProbability:i}=e[n];return Er(Mr(r,s,i),a)})}withFaceExpressions(){return new ae(this,this.input)}},ce=class extends Nr{async run(){let t=await this.parentTask;if(!t)return;let{age:e,gender:r,genderProbability:n}=await Ce(t,this.input,a=>P.ageGenderNet.predictAgeAndGender(a),this.extractedFaces);return Er(Mr(t,r,n),e)}withFaceExpressions(){return new se(this,this.input)}},Bt=class extends ie{withFaceExpressions(){return new Wt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Rt=class extends ce{withFaceExpressions(){return new kt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ue=class extends J{constructor(e,r){super();this.parentTask=e;this.input=r}},Pt=class extends Ue{async run(){let t=await this.parentTask;return(await oe(t,this.input,r=>Promise.all(r.map(n=>P.faceRecognitionNet.computeFaceDescriptor(n))),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}))).map((r,n)=>Dr(t[n],r))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}},Ft=class extends Ue{async run(){let t=await this.parentTask;if(!t)return;let e=await Ce(t,this.input,r=>P.faceRecognitionNet.computeFaceDescriptor(r),null,r=>r.landmarks.align(null,{useDlibAlignment:!0}));return Dr(t,e)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}};var Je=class extends J{constructor(e,r,n){super();this.parentTask=e;this.input=r;this.useTinyLandmarkNet=n}get landmarkNet(){return this.useTinyLandmarkNet?P.faceLandmark68TinyNet:P.faceLandmark68Net}},qe=class extends Je{async run(){let t=await this.parentTask,e=t.map(s=>s.detection),r=this.input instanceof Xe.Tensor?await de(this.input,e):await le(this.input,e),n=await Promise.all(r.map(s=>this.landmarkNet.detectLandmarks(s)));return r.forEach(s=>s instanceof Xe.Tensor&&s.dispose()),t.filter((s,i)=>n[i]).map((s,i)=>Pe(s,n[i]))}withFaceExpressions(){return new Wt(this,this.input)}withAgeAndGender(){return new Bt(this,this.input)}withFaceDescriptors(){return new Pt(this,this.input)}},Ze=class extends Je{async run(){let t=await this.parentTask;if(!t)return;let{detection:e}=t,r=this.input instanceof Xe.Tensor?await de(this.input,[e]):await le(this.input,[e]),n=await this.landmarkNet.detectLandmarks(r[0]);return r.forEach(a=>a instanceof Xe.Tensor&&a.dispose()),Pe(t,n)}withFaceExpressions(){return new kt(this,this.input)}withAgeAndGender(){return new Rt(this,this.input)}withFaceDescriptor(){return new Ft(this,this.input)}};var Ke=class extends J{constructor(e,r=new X){super();this.input=e;this.options=r}},Ie=class extends Ke{async run(){let{input:t,options:e}=this,r;if(e instanceof je)r=P.tinyFaceDetector.locateFaces(t,e);else if(e instanceof X)r=P.ssdMobilenetv1.locateFaces(t,e);else if(e instanceof st)r=P.tinyYolov2.locateFaces(t,e);else throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | TinyYolov2Options");return r}runAndExtendWithFaceDetections(){return new Promise((t,e)=>{this.run().then(r=>t(r.map(n=>jt({},n)))).catch(r=>e(r))})}withFaceLandmarks(t=!1){return new qe(this.runAndExtendWithFaceDetections(),this.input,t)}withFaceExpressions(){return new ae(this.runAndExtendWithFaceDetections(),this.input)}withAgeAndGender(){return new ie(this.runAndExtendWithFaceDetections(),this.input)}},Qe=class extends Ke{async run(){let t=await new Ie(this.input,this.options),e=t[0];return t.forEach(r=>{r.score>e.score&&(e=r)}),e}runAndExtendWithFaceDetection(){return new Promise(async t=>{let e=await this.run();t(e?jt({},e):void 0)})}withFaceLandmarks(t=!1){return new Ze(this.runAndExtendWithFaceDetection(),this.input,t)}withFaceExpressions(){return new se(this.runAndExtendWithFaceDetection(),this.input)}withAgeAndGender(){return new ce(this.runAndExtendWithFaceDetection(),this.input)}};function Sa(o,t=new X){return new Qe(o,t)}function Sr(o,t=new X){return new Ie(o,t)}async function fn(o,t){return Sr(o,new X(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()}async function La(o,t={}){return Sr(o,new st(t)).withFaceLandmarks().withFaceDescriptors()}var Aa=fn;function vo(o,t){if(o.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");let e=Array.from(o),r=Array.from(t);return Math.sqrt(e.map((n,a)=>n-r[a]).reduce((n,a)=>n+a*a,0))}var tr=class{constructor(t,e=.6){this._distanceThreshold=e;let r=Array.isArray(t)?t:[t];if(!r.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");let n=1,a=()=>`person ${n++}`;this._labeledDescriptors=r.map(s=>{if(s instanceof mt)return s;if(s instanceof Float32Array)return new mt(a(),[s]);if(s.descriptor&&s.descriptor instanceof Float32Array)return new mt(a(),[s.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>")})}get labeledDescriptors(){return this._labeledDescriptors}get distanceThreshold(){return this._distanceThreshold}computeMeanDistance(t,e){return e.map(r=>vo(r,t)).reduce((r,n)=>r+n,0)/(e.length||1)}matchDescriptor(t){return this.labeledDescriptors.map(({descriptors:e,label:r})=>new pe(r,this.computeMeanDistance(t,e))).reduce((e,r)=>e.distancet.toJSON())}}static fromJSON(t){let e=t.labeledDescriptors.map(r=>mt.fromJSON(r));return new tr(e,t.distanceThreshold)}};function Wa(o){let t=new ne;return t.extractWeights(o),t}function ln(o,t){let{width:e,height:r}=new k(t.width,t.height);if(e<=0||r<=0)throw new Error(`resizeResults - invalid dimensions: ${JSON.stringify({width:e,height:r})}`);if(Array.isArray(o))return o.map(n=>ln(n,{width:e,height:r}));if(Zt(o)){let n=o.detection.forSize(e,r),a=o.unshiftedLandmarks.forSize(n.box.width,n.box.height);return Pe(jt(o,n),a)}return pt(o)?jt(o,o.detection.forSize(e,r)):o instanceof z||o instanceof M?o.forSize(e,r):o}var Ba=So;0&&(module.exports={AgeGenderNet,BoundingBox,Box,ComposableTask,ComputeAllFaceDescriptorsTask,ComputeFaceDescriptorsTaskBase,ComputeSingleFaceDescriptorTask,DetectAllFaceLandmarksTask,DetectAllFacesTask,DetectFaceLandmarksTaskBase,DetectFacesTaskBase,DetectSingleFaceLandmarksTask,DetectSingleFaceTask,Dimensions,FACE_EXPRESSION_LABELS,FaceDetection,FaceDetectionNet,FaceExpressionNet,FaceExpressions,FaceLandmark68Net,FaceLandmark68TinyNet,FaceLandmarkNet,FaceLandmarks,FaceLandmarks5,FaceLandmarks68,FaceMatch,FaceMatcher,FaceRecognitionNet,Gender,LabeledBox,LabeledFaceDescriptors,NetInput,NeuralNetwork,ObjectDetection,Point,PredictedBox,Rect,SsdMobilenetv1,SsdMobilenetv1Options,TinyFaceDetector,TinyFaceDetectorOptions,TinyYolov2,TinyYolov2Options,allFaces,allFacesSsdMobilenetv1,allFacesTinyYolov2,awaitMediaLoaded,bufferToImage,computeFaceDescriptor,createCanvas,createCanvasFromMedia,createFaceDetectionNet,createFaceRecognitionNet,createSsdMobilenetv1,createTinyFaceDetector,createTinyYolov2,detectAllFaces,detectFaceLandmarks,detectFaceLandmarksTiny,detectLandmarks,detectSingleFace,draw,env,euclideanDistance,extendWithAge,extendWithFaceDescriptor,extendWithFaceDetection,extendWithFaceExpressions,extendWithFaceLandmarks,extendWithGender,extractFaceTensors,extractFaces,fetchImage,fetchJson,fetchNetWeights,fetchOrThrow,fetchVideo,getContext2dOrThrow,getMediaDimensions,imageTensorToCanvas,imageToSquare,inverseSigmoid,iou,isMediaElement,isMediaLoaded,isWithAge,isWithFaceDetection,isWithFaceExpressions,isWithFaceLandmarks,isWithGender,loadAgeGenderModel,loadFaceDetectionModel,loadFaceExpressionModel,loadFaceLandmarkModel,loadFaceLandmarkTinyModel,loadFaceRecognitionModel,loadSsdMobilenetv1Model,loadTinyFaceDetectorModel,loadTinyYolov2Model,loadWeightMap,locateFaces,matchDimensions,minBbox,nets,nonMaxSuppression,normalize,padToSquare,predictAgeAndGender,recognizeFaceExpressions,resizeResults,resolveInput,shuffleArray,sigmoid,ssdMobilenetv1,tf,tinyFaceDetector,tinyYolov2,toNetInput,utils,validateConfig,version}); diff --git a/dist/tfjs.esm.js b/dist/tfjs.esm.js index f10111d..5391048 100644 --- a/dist/tfjs.esm.js +++ b/dist/tfjs.esm.js @@ -4,14 +4,14 @@ author: ' */ -var OU=Object.create;var r0=Object.defineProperty;var PU=Object.getOwnPropertyDescriptor;var LU=Object.getOwnPropertyNames;var MU=Object.getPrototypeOf,zU=Object.prototype.hasOwnProperty;var br=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Ut=(r,t)=>{for(var e in t)r0(r,e,{get:t[e],enumerable:!0})},BU=(r,t,e,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let o of LU(t))!zU.call(r,o)&&o!==e&&r0(r,o,{get:()=>t[o],enumerable:!(n=PU(t,o))||n.enumerable});return r};var El=(r,t,e)=>(e=r!=null?OU(MU(r)):{},BU(t||!r||!r.__esModule?r0(e,"default",{value:r,enumerable:!0}):e,r));var T1=br((Plt,N1)=>{N1.exports=Ue;var fo=null;try{fo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,"__isLong__",{value:!0});function Pn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Pn;var g1={},x1={};function Pu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=Pu;function ho(r,t){if(isNaN(r))return t?Ou:go;if(t){if(r<0)return Ou;if(r>=C1)return S1}else{if(r<=-b1)return On;if(r+1>=b1)return v1}return r<0?ho(-r,t).neg():He(r%Gp|0,r/Gp|0,t)}Ue.fromNumber=ho;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Vg=Math.pow;function h0(r,t,e){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return go;if(typeof t=="number"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error("interior hyphen");if(n===0)return h0(r.substring(1),t,e).neg();for(var o=ho(Vg(e,8)),s=go,i=0;i>>0:this.low};xt.toNumber=function(){return this.unsigned?(this.high>>>0)*Gp+(this.low>>>0):this.high*Gp+(this.low>>>0)};xt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c="0"+c;a=""+c+a}};xt.getHighBits=function(){return this.high};xt.getHighBitsUnsigned=function(){return this.high>>>0};xt.getLowBits=function(){return this.low};xt.getLowBitsUnsigned=function(){return this.low>>>0};xt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(On)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&(t&1<=0};xt.isOdd=function(){return(this.low&1)===1};xt.isEven=function(){return(this.low&1)===0};xt.equals=function(t){return Pn(t)||(t=Ms(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};xt.eq=xt.equals;xt.notEquals=function(t){return!this.eq(t)};xt.neq=xt.notEquals;xt.ne=xt.notEquals;xt.lessThan=function(t){return this.comp(t)<0};xt.lt=xt.lessThan;xt.lessThanOrEqual=function(t){return this.comp(t)<=0};xt.lte=xt.lessThanOrEqual;xt.le=xt.lessThanOrEqual;xt.greaterThan=function(t){return this.comp(t)>0};xt.gt=xt.greaterThan;xt.greaterThanOrEqual=function(t){return this.comp(t)>=0};xt.gte=xt.greaterThanOrEqual;xt.ge=xt.greaterThanOrEqual;xt.compare=function(t){if(Pn(t)||(t=Ms(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};xt.comp=xt.compare;xt.negate=function(){return!this.unsigned&&this.eq(On)?On:this.not().add(Vp)};xt.neg=xt.negate;xt.add=function(t){Pn(t)||(t=Ms(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};xt.subtract=function(t){return Pn(t)||(t=Ms(t)),this.add(t.neg())};xt.sub=xt.subtract;xt.multiply=function(t){if(this.isZero())return go;if(Pn(t)||(t=Ms(t)),fo){var e=fo.mul(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(t.isZero())return go;if(this.eq(On))return t.isOdd()?On:go;if(t.eq(On))return this.isOdd()?On:go;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return ho(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};xt.mul=xt.multiply;xt.divide=function(t){if(Pn(t)||(t=Ms(t)),t.isZero())throw Error("division by zero");if(fo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?fo.div_u:fo.div_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ou:go;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Ou;if(t.gt(this.shru(1)))return I1;s=Ou}else{if(this.eq(On)){if(t.eq(Vp)||t.eq(d0))return On;if(t.eq(On))return Vp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(go)?t.isNegative()?Vp:d0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(On))return this.unsigned?Ou:go;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=go}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Vg(2,a-48),l=ho(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=ho(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Vp),s=s.add(l),o=o.sub(c)}return s};xt.div=xt.divide;xt.modulo=function(t){if(Pn(t)||(t=Ms(t)),fo){var e=(this.unsigned?fo.rem_u:fo.rem_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};xt.mod=xt.modulo;xt.rem=xt.modulo;xt.not=function(){return He(~this.low,~this.high,this.unsigned)};xt.and=function(t){return Pn(t)||(t=Ms(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};xt.or=function(t){return Pn(t)||(t=Ms(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};xt.xor=function(t){return Pn(t)||(t=Ms(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};xt.shiftLeft=function(t){return Pn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};xt.shr=xt.shiftRight;xt.shiftRightUnsigned=function(t){if(Pn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};xt.shru=xt.shiftRightUnsigned;xt.shr_u=xt.shiftRightUnsigned;xt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};xt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};xt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};xt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};xt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=br(()=>{});var aE=br(()=>{});var PE=br((OE,j0)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(" "),u.s1=l(" "),u.s2=l(" "),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c=="object"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(OE,typeof j0=="object"&&j0,typeof define=="function"&&define)});var ME=br((LE,X0)=>{(function(r,t,e){function n(i){var a=this,u="";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(LE,typeof X0=="object"&&X0,typeof define=="function"&&define)});var BE=br((zE,Y0)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(zE,typeof Y0=="object"&&Y0,typeof define=="function"&&define)});var GE=br((VE,Z0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(VE,typeof Z0=="object"&&Z0,typeof define=="function"&&define)});var UE=br((WE,J0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(WE,typeof J0=="object"&&J0,typeof define=="function"&&define)});var qE=br((HE,Q0)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(HE,typeof Q0=="object"&&Q0,typeof define=="function"&&define)});var KE=br(()=>{});var XE=br((jE,Gx)=>{(function(r,t,e){var n=256,o=6,s=52,i="random",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,"global"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var $K=PE(),DK=ME(),RK=BE(),FK=GE(),OK=UE(),PK=qE(),Ku=XE();Ku.alea=$K;Ku.xor128=DK;Ku.xorwow=RK;Ku.xorshift7=FK;Ku.xor4096=OK;Ku.tychei=PK;YE.exports=Ku});var wN=br(()=>{});var Zb=br(()=>{});var Mk=br(()=>{});var WW=br(()=>{});var UW=br(()=>{});var HW=br(()=>{});var qW=br((fI,Bk)=>{var zk=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};function e(){return st.buffer!=ee&&je(st.buffer),ge}function n(){return st.buffer!=ee&&je(st.buffer),fe}function o(){return st.buffer!=ee&&je(st.buffer),Ae}function s(){return st.buffer!=ee&&je(st.buffer),$n}function i(){return st.buffer!=ee&&je(st.buffer),ar}function a(){return st.buffer!=ee&&je(st.buffer),qn}function u(){return st.buffer!=ee&&je(st.buffer),zr}var l=typeof t!="undefined"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var f=Object.assign({},l),d=[],h="./this.program",g=(L,U)=>{throw U},x=typeof window=="object",b=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=l.ENVIRONMENT_IS_PTHREAD||!1,N="";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof _u)return;X("exiting due to exception: "+L)}if(w){var G=Zb(),W=Mk();b?N=W.dirname(N)+"/":N=__dirname+"/",A=(U,dt)=>(U=Zc(U)?new URL(U):W.normalize(U),G.readFileSync(U,dt?void 0:"utf8")),F=U=>{var dt=A(U,!0);return dt.buffer||(dt=new Uint8Array(dt)),dt},$=(U,dt,Lt)=>{U=Zc(U)?new URL(U):W.normalize(U),G.readFile(U,function(Yt,Xt){Yt?Lt(Yt):dt(Xt.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),d=process.argv.slice(2),process.on("uncaughtException",function(U){if(!(U instanceof _u))throw U}),process.on("unhandledRejection",function(U){throw U}),g=(U,dt)=>{if(Mo())throw process.exitCode=U,dt;V(dt),process.exit(U)},l.inspect=function(){return"[Emscripten Module object]"};let L;try{L=WW()}catch(U){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof r!="undefined"&&r&&(N=r),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",w||(A=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.responseType="arraybuffer",U.send(null),new Uint8Array(U.response)}),$=(L,U,dt)=>{var Lt=new XMLHttpRequest;Lt.open("GET",L,!0),Lt.responseType="arraybuffer",Lt.onload=()=>{if(Lt.status==200||Lt.status==0&&Lt.response){U(Lt.response);return}dt()},Lt.onerror=dt,Lt.send(null)}),P=L=>document.title=L);w&&typeof performance=="undefined"&&(global.performance=UW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+` +var OU=Object.create;var r0=Object.defineProperty;var PU=Object.getOwnPropertyDescriptor;var LU=Object.getOwnPropertyNames;var MU=Object.getPrototypeOf,zU=Object.prototype.hasOwnProperty;var br=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),Ut=(r,t)=>{for(var e in t)r0(r,e,{get:t[e],enumerable:!0})},BU=(r,t,e,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let o of LU(t))!zU.call(r,o)&&o!==e&&r0(r,o,{get:()=>t[o],enumerable:!(n=PU(t,o))||n.enumerable});return r};var El=(r,t,e)=>(e=r!=null?OU(MU(r)):{},BU(t||!r||!r.__esModule?r0(e,"default",{value:r,enumerable:!0}):e,r));var T1=br((Plt,N1)=>{N1.exports=Ue;var fo=null;try{fo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function Ue(r,t,e){this.low=r|0,this.high=t|0,this.unsigned=!!e}Ue.prototype.__isLong__;Object.defineProperty(Ue.prototype,"__isLong__",{value:!0});function Pn(r){return(r&&r.__isLong__)===!0}Ue.isLong=Pn;var g1={},x1={};function Pu(r,t){var e,n,o;return t?(r>>>=0,(o=0<=r&&r<256)&&(n=x1[r],n)?n:(e=He(r,(r|0)<0?-1:0,!0),o&&(x1[r]=e),e)):(r|=0,(o=-128<=r&&r<128)&&(n=g1[r],n)?n:(e=He(r,r<0?-1:0,!1),o&&(g1[r]=e),e))}Ue.fromInt=Pu;function ho(r,t){if(isNaN(r))return t?Ou:go;if(t){if(r<0)return Ou;if(r>=C1)return S1}else{if(r<=-b1)return On;if(r+1>=b1)return v1}return r<0?ho(-r,t).neg():He(r%Gp|0,r/Gp|0,t)}Ue.fromNumber=ho;function He(r,t,e){return new Ue(r,t,e)}Ue.fromBits=He;var Vg=Math.pow;function h0(r,t,e){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return go;if(typeof t=="number"?(e=t,t=!1):t=!!t,e=e||10,e<2||360)throw Error("interior hyphen");if(n===0)return h0(r.substring(1),t,e).neg();for(var o=ho(Vg(e,8)),s=go,i=0;i>>0:this.low};xt.toNumber=function(){return this.unsigned?(this.high>>>0)*Gp+(this.low>>>0):this.high*Gp+(this.low>>>0)};xt.toString=function(t){if(t=t||10,t<2||36>>0,c=l.toString(t);if(i=u,i.isZero())return c+a;for(;c.length<6;)c="0"+c;a=""+c+a}};xt.getHighBits=function(){return this.high};xt.getHighBitsUnsigned=function(){return this.high>>>0};xt.getLowBits=function(){return this.low};xt.getLowBitsUnsigned=function(){return this.low>>>0};xt.getNumBitsAbs=function(){if(this.isNegative())return this.eq(On)?64:this.neg().getNumBitsAbs();for(var t=this.high!=0?this.high:this.low,e=31;e>0&&!(t&1<=0};xt.isOdd=function(){return(this.low&1)===1};xt.isEven=function(){return(this.low&1)===0};xt.equals=function(t){return Pn(t)||(t=Ms(t)),this.unsigned!==t.unsigned&&this.high>>>31===1&&t.high>>>31===1?!1:this.high===t.high&&this.low===t.low};xt.eq=xt.equals;xt.notEquals=function(t){return!this.eq(t)};xt.neq=xt.notEquals;xt.ne=xt.notEquals;xt.lessThan=function(t){return this.comp(t)<0};xt.lt=xt.lessThan;xt.lessThanOrEqual=function(t){return this.comp(t)<=0};xt.lte=xt.lessThanOrEqual;xt.le=xt.lessThanOrEqual;xt.greaterThan=function(t){return this.comp(t)>0};xt.gt=xt.greaterThan;xt.greaterThanOrEqual=function(t){return this.comp(t)>=0};xt.gte=xt.greaterThanOrEqual;xt.ge=xt.greaterThanOrEqual;xt.compare=function(t){if(Pn(t)||(t=Ms(t)),this.eq(t))return 0;var e=this.isNegative(),n=t.isNegative();return e&&!n?-1:!e&&n?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1};xt.comp=xt.compare;xt.negate=function(){return!this.unsigned&&this.eq(On)?On:this.not().add(Vp)};xt.neg=xt.negate;xt.add=function(t){Pn(t)||(t=Ms(t));var e=this.high>>>16,n=this.high&65535,o=this.low>>>16,s=this.low&65535,i=t.high>>>16,a=t.high&65535,u=t.low>>>16,l=t.low&65535,c=0,p=0,m=0,f=0;return f+=s+l,m+=f>>>16,f&=65535,m+=o+u,p+=m>>>16,m&=65535,p+=n+a,c+=p>>>16,p&=65535,c+=e+i,c&=65535,He(m<<16|f,c<<16|p,this.unsigned)};xt.subtract=function(t){return Pn(t)||(t=Ms(t)),this.add(t.neg())};xt.sub=xt.subtract;xt.multiply=function(t){if(this.isZero())return go;if(Pn(t)||(t=Ms(t)),fo){var e=fo.mul(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(t.isZero())return go;if(this.eq(On))return t.isOdd()?On:go;if(t.eq(On))return this.isOdd()?On:go;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(w1)&&t.lt(w1))return ho(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,o=this.high&65535,s=this.low>>>16,i=this.low&65535,a=t.high>>>16,u=t.high&65535,l=t.low>>>16,c=t.low&65535,p=0,m=0,f=0,d=0;return d+=i*c,f+=d>>>16,d&=65535,f+=s*c,m+=f>>>16,f&=65535,f+=i*l,m+=f>>>16,f&=65535,m+=o*c,p+=m>>>16,m&=65535,m+=s*l,p+=m>>>16,m&=65535,m+=i*u,p+=m>>>16,m&=65535,p+=n*c+o*l+s*u+i*a,p&=65535,He(f<<16|d,p<<16|m,this.unsigned)};xt.mul=xt.multiply;xt.divide=function(t){if(Pn(t)||(t=Ms(t)),t.isZero())throw Error("division by zero");if(fo){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?fo.div_u:fo.div_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ou:go;var n,o,s;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return Ou;if(t.gt(this.shru(1)))return I1;s=Ou}else{if(this.eq(On)){if(t.eq(Vp)||t.eq(d0))return On;if(t.eq(On))return Vp;var i=this.shr(1);return n=i.div(t).shl(1),n.eq(go)?t.isNegative()?Vp:d0:(o=this.sub(t.mul(n)),s=n.add(o.div(t)),s)}else if(t.eq(On))return this.unsigned?Ou:go;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();s=go}for(o=this;o.gte(t);){n=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),u=a<=48?1:Vg(2,a-48),l=ho(n),c=l.mul(t);c.isNegative()||c.gt(o);)n-=u,l=ho(n,this.unsigned),c=l.mul(t);l.isZero()&&(l=Vp),s=s.add(l),o=o.sub(c)}return s};xt.div=xt.divide;xt.modulo=function(t){if(Pn(t)||(t=Ms(t)),fo){var e=(this.unsigned?fo.rem_u:fo.rem_s)(this.low,this.high,t.low,t.high);return He(e,fo.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))};xt.mod=xt.modulo;xt.rem=xt.modulo;xt.not=function(){return He(~this.low,~this.high,this.unsigned)};xt.and=function(t){return Pn(t)||(t=Ms(t)),He(this.low&t.low,this.high&t.high,this.unsigned)};xt.or=function(t){return Pn(t)||(t=Ms(t)),He(this.low|t.low,this.high|t.high,this.unsigned)};xt.xor=function(t){return Pn(t)||(t=Ms(t)),He(this.low^t.low,this.high^t.high,this.unsigned)};xt.shiftLeft=function(t){return Pn(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?He(this.low<>>32-t,this.unsigned):He(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):He(this.high>>t-32,this.high>=0?0:-1,this.unsigned)};xt.shr=xt.shiftRight;xt.shiftRightUnsigned=function(t){if(Pn(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var n=this.low;return He(n>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?He(e,0,this.unsigned):He(e>>>t-32,0,this.unsigned)};xt.shru=xt.shiftRightUnsigned;xt.shr_u=xt.shiftRightUnsigned;xt.toSigned=function(){return this.unsigned?He(this.low,this.high,!1):this};xt.toUnsigned=function(){return this.unsigned?this:He(this.low,this.high,!0)};xt.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()};xt.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]};xt.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]};Ue.fromBytes=function(t,e,n){return n?Ue.fromBytesLE(t,e):Ue.fromBytesBE(t,e)};Ue.fromBytesLE=function(t,e){return new Ue(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)};Ue.fromBytesBE=function(t,e){return new Ue(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}});var iE=br(()=>{});var aE=br(()=>{});var PE=br((OE,j0)=>{(function(r,t,e){function n(a){var u=this,l=i();u.next=function(){var c=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=c-(u.c=c|0)},u.c=1,u.s0=l(" "),u.s1=l(" "),u.s2=l(" "),u.s0-=l(a),u.s0<0&&(u.s0+=1),u.s1-=l(a),u.s1<0&&(u.s1+=1),u.s2-=l(a),u.s2<0&&(u.s2+=1),l=null}function o(a,u){return u.c=a.c,u.s0=a.s0,u.s1=a.s1,u.s2=a.s2,u}function s(a,u){var l=new n(a),c=u&&u.state,p=l.next;return p.int32=function(){return l.next()*4294967296|0},p.double=function(){return p()+(p()*2097152|0)*11102230246251565e-32},p.quick=p,c&&(typeof c=="object"&&o(c,l),p.state=function(){return o(l,{})}),p}function i(){var a=4022871197,u=function(l){l=String(l);for(var c=0;c>>0,p-=a,p*=a,a=p>>>0,p-=a,a+=p*4294967296}return(a>>>0)*23283064365386963e-26};return u}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.alea=s})(OE,typeof j0=="object"&&j0,typeof define=="function"&&define)});var ME=br((LE,X0)=>{(function(r,t,e){function n(i){var a=this,u="";a.x=0,a.y=0,a.z=0,a.w=0,a.next=function(){var c=a.x^a.x<<11;return a.x=a.y,a.y=a.z,a.z=a.w,a.w^=a.w>>>19^c^c>>>8},i===(i|0)?a.x=i:u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor128=s})(LE,typeof X0=="object"&&X0,typeof define=="function"&&define)});var BE=br((zE,Y0)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.x^a.x>>>2;return a.x=a.y,a.y=a.z,a.z=a.w,a.w=a.v,(a.d=a.d+362437|0)+(a.v=a.v^a.v<<4^(c^c<<1))|0},a.x=0,a.y=0,a.z=0,a.w=0,a.v=0,i===(i|0)?a.x=i:u+=i;for(var l=0;l>>4),a.next()}function o(i,a){return a.x=i.x,a.y=i.y,a.z=i.z,a.w=i.w,a.v=i.v,a.d=i.d,a}function s(i,a){var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorwow=s})(zE,typeof Y0=="object"&&Y0,typeof define=="function"&&define)});var GE=br((VE,Z0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.x,c=a.i,p,m,f;return p=l[c],p^=p>>>7,m=p^p<<24,p=l[c+1&7],m^=p^p>>>10,p=l[c+3&7],m^=p^p>>>3,p=l[c+4&7],m^=p^p<<7,p=l[c+7&7],p=p^p<<13,m^=p^p<<9,l[c]=m,a.i=c+1&7,m};function u(l,c){var p,m,f=[];if(c===(c|0))m=f[0]=c;else for(c=""+c,p=0;p0;--p)l.next()}u(a,i)}function o(i,a){return a.x=i.x.slice(),a.i=i.i,a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.x&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xorshift7=s})(VE,typeof Z0=="object"&&Z0,typeof define=="function"&&define)});var UE=br((WE,J0)=>{(function(r,t,e){function n(i){var a=this;a.next=function(){var l=a.w,c=a.X,p=a.i,m,f;return a.w=l=l+1640531527|0,f=c[p+34&127],m=c[p=p+1&127],f^=f<<13,m^=m<<17,f^=f>>>15,m^=m>>>12,f=c[p]=f^m,a.i=p,f+(l^l>>>16)|0};function u(l,c){var p,m,f,d,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),f=0,d=-32;d>>15,m^=m<<4,m^=m>>>13,d>=0&&(h=h+1640531527|0,p=g[d&127]^=m+h,f=p==0?f+1:0);for(f>=128&&(g[(c&&c.length||0)&127]=-1),f=127,d=4*128;d>0;--d)m=g[f+34&127],p=g[f=f+1&127],m^=m<<13,p^=p<<17,m^=m>>>15,p^=p>>>12,g[f]=m^p;l.w=h,l.X=g,l.i=f}u(a,i)}function o(i,a){return a.i=i.i,a.w=i.w,a.X=i.X.slice(),a}function s(i,a){i==null&&(i=+new Date);var u=new n(i),l=a&&a.state,c=function(){return(u.next()>>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(l.X&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.xor4096=s})(WE,typeof J0=="object"&&J0,typeof define=="function"&&define)});var qE=br((HE,Q0)=>{(function(r,t,e){function n(i){var a=this,u="";a.next=function(){var c=a.b,p=a.c,m=a.d,f=a.a;return c=c<<25^c>>>7^p,p=p-m|0,m=m<<24^m>>>8^f,f=f-c|0,a.b=c=c<<20^c>>>12^p,a.c=p=p-m|0,a.d=m<<16^p>>>16^f,a.a=f-c|0},a.a=0,a.b=0,a.c=-1640531527,a.d=1367130551,i===Math.floor(i)?(a.a=i/4294967296|0,a.b=i|0):u+=i;for(var l=0;l>>0)/4294967296};return c.double=function(){do var p=u.next()>>>11,m=(u.next()>>>0)/4294967296,f=(p+m)/(1<<21);while(f===0);return f},c.int32=u.next,c.quick=c,l&&(typeof l=="object"&&o(l,u),c.state=function(){return o(u,{})}),c}t&&t.exports?t.exports=s:e&&e.amd?e(function(){return s}):this.tychei=s})(HE,typeof Q0=="object"&&Q0,typeof define=="function"&&define)});var KE=br(()=>{});var XE=br((jE,Gx)=>{(function(r,t,e){var n=256,o=6,s=52,i="random",a=e.pow(n,o),u=e.pow(2,s),l=u*2,c=n-1,p;function m(w,C,N){var _=[];C=C==!0?{entropy:!0}:C||{};var A=g(h(C.entropy?[w,b(t)]:w==null?x():w,3),_),$=new f(_),F=function(){for(var P=$.g(o),V=a,G=0;P=l;)P/=2,V/=2,G>>>=1;return(P+G)/V};return F.int32=function(){return $.g(4)|0},F.quick=function(){return $.g(4)/4294967296},F.double=F,g(b($.S),t),(C.pass||N||function(P,V,G,W){return W&&(W.S&&d(W,$),P.state=function(){return d($,{})}),G?(e[i]=P,V):P})(F,A,"global"in C?C.global:this==e,C.state)}function f(w){var C,N=w.length,_=this,A=0,$=_.i=_.j=0,F=_.S=[];for(N||(w=[N++]);A{var $K=PE(),DK=ME(),RK=BE(),FK=GE(),OK=UE(),PK=qE(),Ku=XE();Ku.alea=$K;Ku.xor128=DK;Ku.xorwow=RK;Ku.xorshift7=FK;Ku.xor4096=OK;Ku.tychei=PK;YE.exports=Ku});var wN=br(()=>{});var Zb=br(()=>{});var Mk=br(()=>{});var WW=br(()=>{});var UW=br(()=>{});var HW=br(()=>{});var qW=br((fI,Bk)=>{var zk=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};function e(){return st.buffer!=ee&&je(st.buffer),ge}function n(){return st.buffer!=ee&&je(st.buffer),fe}function o(){return st.buffer!=ee&&je(st.buffer),Ae}function s(){return st.buffer!=ee&&je(st.buffer),$n}function i(){return st.buffer!=ee&&je(st.buffer),ar}function a(){return st.buffer!=ee&&je(st.buffer),qn}function u(){return st.buffer!=ee&&je(st.buffer),zr}var l=typeof t!="undefined"?t:{},c,p;l.ready=new Promise(function(L,U){c=L,p=U});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var f=Object.assign({},l),d=[],h="./this.program",g=(L,U)=>{throw U},x=typeof window=="object",b=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=l.ENVIRONMENT_IS_PTHREAD||!1,N="";function _(L){return l.locateFile?l.locateFile(L,N):N+L}var A,$,F,P;function V(L){if(L instanceof _u)return;X("exiting due to exception: "+L)}if(w){var G=Zb(),W=Mk();b?N=W.dirname(N)+"/":N=__dirname+"/",A=(U,dt)=>(U=Zc(U)?new URL(U):W.normalize(U),G.readFileSync(U,dt?void 0:"utf8")),F=U=>{var dt=A(U,!0);return dt.buffer||(dt=new Uint8Array(dt)),dt},$=(U,dt,Lt)=>{U=Zc(U)?new URL(U):W.normalize(U),G.readFile(U,function(Yt,Xt){Yt?Lt(Yt):dt(Xt.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),d=process.argv.slice(2),process.on("uncaughtException",function(U){if(!(U instanceof _u))throw U}),process.on("unhandledRejection",function(U){throw U}),g=(U,dt)=>{if(Mo())throw process.exitCode=U,dt;V(dt),process.exit(U)},l.inspect=function(){return"[Emscripten Module object]"};let L;try{L=WW()}catch(U){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),U}global.Worker=L.Worker}else(x||b)&&(b?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof r!="undefined"&&r&&(N=r),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",w||(A=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.send(null),U.responseText},b&&(F=L=>{var U=new XMLHttpRequest;return U.open("GET",L,!1),U.responseType="arraybuffer",U.send(null),new Uint8Array(U.response)}),$=(L,U,dt)=>{var Lt=new XMLHttpRequest;Lt.open("GET",L,!0),Lt.responseType="arraybuffer",Lt.onload=()=>{if(Lt.status==200||Lt.status==0&&Lt.response){U(Lt.response);return}dt()},Lt.onerror=dt,Lt.send(null)}),P=L=>document.title=L);w&&typeof performance=="undefined"&&(global.performance=UW().performance);var q=console.log.bind(console),H=console.warn.bind(console);w&&(q=L=>G.writeSync(1,L+` `),H=L=>G.writeSync(2,L+` `));var K=l.print||q,X=l.printErr||H;Object.assign(l,f),f=null,l.arguments&&(d=l.arguments),l.thisProgram&&(h=l.thisProgram),l.quit&&(g=l.quit);var Z=4,et=Atomics.load,rt=Atomics.store,ot=Atomics.compareExchange,at;l.wasmBinary&&(at=l.wasmBinary);var nt=l.noExitRuntime||!0;typeof WebAssembly!="object"&&Eu("no native wasm support detected");var st,ft,gt=!1,Ct;function $t(L,U){L||Eu(U)}var _t=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Gt(L,U,dt){for(var Lt=U+dt,Yt=U;L[Yt]&&!(Yt>=Lt);)++Yt;if(Yt-U>16&&L.buffer&&_t)return _t.decode(L.buffer instanceof SharedArrayBuffer?L.slice(U,Yt):L.subarray(U,Yt));for(var Xt="";U>10,56320|Yn&1023)}}return Xt}function Wt(L,U){return L?Gt(n(),L,U):""}function ue(L,U,dt,Lt){if(!(Lt>0))return 0;for(var Yt=dt,Xt=dt+Lt-1,yt=0;yt=55296&&At<=57343){var nr=L.charCodeAt(++yt);At=65536+((At&1023)<<10)|nr&1023}if(At<=127){if(dt>=Xt)break;U[dt++]=At}else if(At<=2047){if(dt+1>=Xt)break;U[dt++]=192|At>>6,U[dt++]=128|At&63}else if(At<=65535){if(dt+2>=Xt)break;U[dt++]=224|At>>12,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}else{if(dt+3>=Xt)break;U[dt++]=240|At>>18,U[dt++]=128|At>>12&63,U[dt++]=128|At>>6&63,U[dt++]=128|At&63}}return U[dt]=0,dt-Yt}function he(L,U,dt){return ue(L,n(),U,dt)}var ee,ge,fe,Ae,$e,$n,ar,qn,zr;C&&(ee=l.buffer);function je(L){ee=L,l.HEAP8=ge=new Int8Array(L),l.HEAP16=Ae=new Int16Array(L),l.HEAP32=$n=new Int32Array(L),l.HEAPU8=fe=new Uint8Array(L),l.HEAPU16=$e=new Uint16Array(L),l.HEAPU32=ar=new Uint32Array(L),l.HEAPF32=qn=new Float32Array(L),l.HEAPF64=zr=new Float64Array(L)}var Br=l.INITIAL_MEMORY||16777216;if(C)st=l.wasmMemory,ee=l.buffer;else if(l.wasmMemory)st=l.wasmMemory;else if(st=new WebAssembly.Memory({initial:Br/65536,maximum:32768,shared:!0}),!(st.buffer instanceof SharedArrayBuffer))throw X("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),w&&X("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");st&&(ee=st.buffer),Br=ee.byteLength,je(ee);var Vr,Kn=[],jn=[],Zr=[],ea=!1;function Mo(){return nt}function si(){if(l.preRun)for(typeof l.preRun=="function"&&(l.preRun=[l.preRun]);l.preRun.length;)Od(l.preRun.shift());Md(Kn)}function Er(){ea=!0,!C&&Md(jn)}function ra(){if(!C){if(l.postRun)for(typeof l.postRun=="function"&&(l.postRun=[l.postRun]);l.postRun.length;)Kk(l.postRun.shift());Md(Zr)}}function Od(L){Kn.unshift(L)}function Pd(L){jn.unshift(L)}function Kk(L){Zr.unshift(L)}var Nl=0,Yc=null,na=null;function gI(L){Nl++,l.monitorRunDependencies&&l.monitorRunDependencies(Nl)}function mg(L){if(Nl--,l.monitorRunDependencies&&l.monitorRunDependencies(Nl),Nl==0&&(Yc!==null&&(clearInterval(Yc),Yc=null),na)){var U=na;na=null,U()}}function Eu(L){l.onAbort&&l.onAbort(L),L="Aborted("+L+")",X(L),gt=!0,Ct=1,L+=". Build with -sASSERTIONS for more info.";var U=new WebAssembly.RuntimeError(L);throw p(U),U}var xI="data:application/octet-stream;base64,";function fg(L){return L.startsWith(xI)}function Zc(L){return L.startsWith("file://")}var Jr;Jr="tfjs-backend-wasm-threaded-simd.wasm",fg(Jr)||(Jr=_(Jr));function dg(L){try{if(L==Jr&&at)return new Uint8Array(at);if(F)return F(L);throw"both async and sync fetching of the wasm failed"}catch(U){Eu(U)}}function yI(){if(!at&&(x||b)){if(typeof fetch=="function"&&!Zc(Jr))return fetch(Jr,{credentials:"same-origin"}).then(function(L){if(!L.ok)throw"failed to load wasm binary file at '"+Jr+"'";return L.arrayBuffer()}).catch(function(){return dg(Jr)});if($)return new Promise(function(L,U){$(Jr,function(dt){L(new Uint8Array(dt))},U)})}return Promise.resolve().then(function(){return dg(Jr)})}function bI(){var L={env:kg,wasi_snapshot_preview1:kg};function U(yt,At){var nr=yt.exports;if(l.asm=nr,EI(l.asm._emscripten_tls_init),Vr=l.asm.__indirect_function_table,Pd(l.asm.__wasm_call_ctors),ft=At,!C){var Yn=jt.unusedWorkers.length;jt.unusedWorkers.forEach(function(sa){jt.loadWasmModuleToWorker(sa,function(){--Yn||mg("wasm-instantiate")})})}}C||gI("wasm-instantiate");function dt(yt){U(yt.instance,yt.module)}function Lt(yt){return yI().then(function(At){return WebAssembly.instantiate(At,L)}).then(function(At){return At}).then(yt,function(At){X("failed to asynchronously prepare wasm: "+At),Eu(At)})}function Yt(){return!at&&typeof WebAssembly.instantiateStreaming=="function"&&!fg(Jr)&&!Zc(Jr)&&!w&&typeof fetch=="function"?fetch(Jr,{credentials:"same-origin"}).then(function(yt){var At=WebAssembly.instantiateStreaming(yt,L);return At.then(dt,function(nr){return X("wasm streaming compile failed: "+nr),X("falling back to ArrayBuffer instantiation"),Lt(dt)})}):Lt(dt)}if(l.instantiateWasm)try{var Xt=l.instantiateWasm(L,U);return Xt}catch(yt){X("Module.instantiateWasm callback failed with error: "+yt),p(yt)}return Yt().catch(p),{}}var jk,Xk,hg={};function _u(L){this.name="ExitStatus",this.message="Program terminated with exit("+L+")",this.status=L}function wI(L){var U=jt.pthreads[L];delete jt.pthreads[L],U.terminate(),Qv(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(U),1),U.pthread_ptr=0}function CI(L){var U=jt.pthreads[L];U.postMessage({cmd:"cancel"})}function Ld(L){var U=jt.pthreads[L];$t(U),jt.returnWorkerToPool(U)}function II(L){var U=jt.getNewWorker();if(!U)return 6;jt.runningWorkers.push(U),jt.pthreads[L.pthread_ptr]=U,U.pthread_ptr=L.pthread_ptr;var dt={cmd:"run",start_routine:L.startRoutine,arg:L.arg,pthread_ptr:L.pthread_ptr};return U.runPthread=()=>{w&&U.ref(),U.postMessage(dt,L.transferList),delete U.runPthread},U.loaded&&U.runPthread(),0}var gg={varargs:void 0,get:function(){gg.varargs+=4;var L=s()[gg.varargs-4>>2];return L},getStr:function(L){var U=Wt(L);return U}};function xg(L){if(C)return Tl(1,1,L);Ct=L,Mo()||(jt.terminateAllThreads(),l.onExit&&l.onExit(L),gt=!0),g(L,new _u(L))}function vI(L,U){if(Ct=L,!U&&C)throw bg(L),"unwind";xg(L)}var yg=vI;function SI(L){if(L instanceof _u||L=="unwind")return Ct;g(1,L)}var jt={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?jt.initWorker():jt.initMainThread()},initMainThread:function(){for(var L=8;L--;)jt.allocateUnusedWorker()},initWorker:function(){nt=!1},setExitStatus:function(L){Ct=L},terminateAllThreads:function(){for(var L of Object.values(jt.pthreads))jt.returnWorkerToPool(L);for(var L of jt.unusedWorkers)L.terminate();jt.unusedWorkers=[]},returnWorkerToPool:function(L){var U=L.pthread_ptr;delete jt.pthreads[U],jt.unusedWorkers.push(L),jt.runningWorkers.splice(jt.runningWorkers.indexOf(L),1),L.pthread_ptr=0,w&&L.unref(),Qv(U)},receiveObjectTransfer:function(L){},threadInitTLS:function(){jt.tlsInitFunctions.forEach(L=>L())},loadWasmModuleToWorker:function(L,U){L.onmessage=Xt=>{var yt=Xt.data,At=yt.cmd;if(L.pthread_ptr&&(jt.currentProxiedOperationCallerThread=L.pthread_ptr),yt.targetThread&&yt.targetThread!=Rg()){var nr=jt.pthreads[yt.targetThread];nr?nr.postMessage(yt,yt.transferList):X('Internal error! Worker sent a message "'+At+'" to target pthread '+yt.targetThread+", but that thread no longer exists!"),jt.currentProxiedOperationCallerThread=void 0;return}At==="processProxyingQueue"?zd(yt.queue):At==="spawnThread"?II(yt):At==="cleanupThread"?Ld(yt.thread):At==="killThread"?wI(yt.thread):At==="cancelThread"?CI(yt.thread):At==="loaded"?(L.loaded=!0,w&&L.unref(),U&&U(L),L.runPthread&&L.runPthread()):At==="print"?K("Thread "+yt.threadId+": "+yt.text):At==="printErr"?X("Thread "+yt.threadId+": "+yt.text):At==="alert"?alert("Thread "+yt.threadId+": "+yt.text):yt.target==="setimmediate"?L.postMessage(yt):At==="callHandler"?l[yt.handler](...yt.args):At&&X("worker sent an unknown command "+At),jt.currentProxiedOperationCallerThread=void 0},L.onerror=Xt=>{var yt="worker sent an error!";throw X(yt+" "+Xt.filename+":"+Xt.lineno+": "+Xt.message),Xt},w&&(L.on("message",function(Xt){L.onmessage({data:Xt})}),L.on("error",function(Xt){L.onerror(Xt)}),L.on("detachedExit",function(){}));var dt=[],Lt=["onExit","onAbort","print","printErr"];for(var Yt of Lt)l.hasOwnProperty(Yt)&&dt.push(Yt);L.postMessage({cmd:"load",handlers:dt,urlOrBlob:l.mainScriptUrlOrBlob||r,wasmMemory:st,wasmModule:ft})},allocateUnusedWorker:function(){var L,U=_("tfjs-backend-wasm-threaded-simd.worker.js");L=new Worker(U),jt.unusedWorkers.push(L)},getNewWorker:function(){return jt.unusedWorkers.length==0&&(jt.allocateUnusedWorker(),jt.loadWasmModuleToWorker(jt.unusedWorkers[0])),jt.unusedWorkers.pop()}};l.PThread=jt;function Md(L){for(;L.length>0;)L.shift()(l)}function NI(){var L=Rg(),U=s()[L+52>>2],dt=s()[L+56>>2],Lt=U-dt;e1(U,Lt),Fg(U)}l.establishStackSpace=NI;function bg(L){if(C)return Tl(2,0,L);try{yg(L)}catch(U){SI(U)}}var Jc=[];function TI(L){var U=Jc[L];return U||(L>=Jc.length&&(Jc.length=L+1),Jc[L]=U=Vr.get(L)),U}function kI(L,U){var dt=TI(L)(U);Mo()?jt.setExitStatus(dt):t1(dt)}l.invokeEntryPoint=kI;function EI(L){jt.tlsInitFunctions.push(L)}function _I(L){Zk(L,!b,1,!x),jt.threadInitTLS()}function AI(L){C?postMessage({cmd:"cleanupThread",thread:L}):Ld(L)}function wg(L,U,dt,Lt){return C?Tl(3,1,L,U,dt,Lt):Cg(L,U,dt,Lt)}function Cg(L,U,dt,Lt){if(typeof SharedArrayBuffer=="undefined")return X("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Yt=[],Xt=0;if(C&&(Yt.length===0||Xt))return wg(L,U,dt,Lt);if(Xt)return Xt;var yt={startRoutine:dt,pthread_ptr:L,arg:Lt,transferList:Yt};return C?(yt.cmd="spawnThread",postMessage(yt,Yt),0):II(yt)}function $I(){return 65536}var DI=!0;function RI(){return DI}function zd(L){Atomics.store(s(),L>>2,1),Rg()&&Qk(L),Atomics.compareExchange(s(),L>>2,1,0)}l.executeNotifiedProxyingQueue=zd;function FI(L,U,dt,Lt){if(L==U)setTimeout(()=>zd(Lt));else if(C)postMessage({targetThread:L,cmd:"processProxyingQueue",queue:Lt});else{var Yt=jt.pthreads[L];if(!Yt)return;Yt.postMessage({cmd:"processProxyingQueue",queue:Lt})}return 1}function OI(L,U,dt){return-1}function PI(){Eu("")}function Au(L){Au.shown||(Au.shown={}),Au.shown[L]||(Au.shown[L]=1,w&&(L="warning: "+L),X(L))}function LI(){w||b||Au("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function MI(){return Date.now()}function Ig(){return 2147483648}function zI(){return Ig()}var Bd;w?Bd=()=>{var L=process.hrtime();return L[0]*1e3+L[1]/1e6}:Bd=()=>performance.timeOrigin+performance.now();function BI(L,U,dt){n().copyWithin(L,U,U+dt)}function VI(){return w?HW().cpus().length:navigator.hardwareConcurrency}function GI(L){var U=t0(),dt=L();return Fg(U),dt}function Tl(L,U){var dt=arguments.length-2,Lt=arguments;return GI(()=>{for(var Yt=dt,Xt=Og(Yt*8),yt=Xt>>3,At=0;At>3,Yt=0;Yt>>16),je(st.buffer),1}catch(U){}}function HI(L){var U=n().length;if(L=L>>>0,L<=U)return!1;var dt=Ig();if(L>dt)return!1;let Lt=(nr,Yn)=>nr+(Yn-nr%Yn)%Yn;for(var Yt=1;Yt<=4;Yt*=2){var Xt=U*(1+.2/Yt);Xt=Math.min(Xt,L+100663296);var yt=Math.min(dt,Lt(Math.max(L,Xt),65536)),At=UI(yt);if(At)return!0}return!1}function qI(){throw"unwind"}function vg(L){return C?Tl(4,1,L):52}function Sg(L,U,dt,Lt,Yt){return C?Tl(5,1,L,U,dt,Lt,Yt):70}var KI=[null,[],[]];function jI(L,U){var dt=KI[L];U===0||U===10?((L===1?K:X)(Gt(dt,0)),dt.length=0):dt.push(U)}function Ng(L,U,dt,Lt){if(C)return Tl(6,1,L,U,dt,Lt);for(var Yt=0,Xt=0;Xt>2],At=i()[U+4>>2];U+=8;for(var nr=0;nr>2]=Yt,0}function Tg(L){var U=l["_"+L];return U}function XI(L,U){e().set(L,U)}function YI(L,U,dt,Lt,Yt){var Xt={string:Dn=>{var rp=0;if(Dn!=null&&Dn!==0){var o1=(Dn.length<<2)+1;rp=Og(o1),he(Dn,rp,o1)}return rp},array:Dn=>{var rp=Og(Dn.length);return XI(Dn,rp),rp}};function yt(Dn){return U==="string"?Wt(Dn):U==="boolean"?Boolean(Dn):Dn}var At=Tg(L),nr=[],Yn=0;if(Lt)for(var sa=0;sayt==="number"||yt==="boolean"),Xt=U!=="string";return Xt&&Yt&&!Lt?Tg(L):function(){return YI(L,U,dt,arguments,Lt)}}jt.init();var JI=[null,xg,bg,wg,vg,Sg,Ng],kg={__emscripten_init_main_thread_js:_I,__emscripten_thread_cleanup:AI,__pthread_create_js:Cg,_emscripten_default_pthread_stack_size:$I,_emscripten_get_now_is_monotonic:RI,_emscripten_notify_task_queue:FI,_emscripten_set_offscreencanvas_size:OI,abort:PI,emscripten_check_blocking_allowed:LI,emscripten_date_now:MI,emscripten_get_heap_max:zI,emscripten_get_now:Bd,emscripten_memcpy_big:BI,emscripten_num_logical_cores:VI,emscripten_receive_on_main_thread_js:WI,emscripten_resize_heap:HI,emscripten_unwind_to_js_event_loop:qI,exit:yg,fd_close:vg,fd_seek:Sg,fd_write:Ng,memory:st||l.wasmMemory},Yk=bI(),QI=l.___wasm_call_ctors=function(){return(QI=l.___wasm_call_ctors=l.asm.__wasm_call_ctors).apply(null,arguments)},tv=l._init=function(){return(tv=l._init=l.asm.init).apply(null,arguments)},ev=l._init_with_threads_count=function(){return(ev=l._init_with_threads_count=l.asm.init_with_threads_count).apply(null,arguments)},rv=l._get_threads_count=function(){return(rv=l._get_threads_count=l.asm.get_threads_count).apply(null,arguments)},nv=l._register_tensor=function(){return(nv=l._register_tensor=l.asm.register_tensor).apply(null,arguments)},ov=l._dispose_data=function(){return(ov=l._dispose_data=l.asm.dispose_data).apply(null,arguments)},sv=l._dispose=function(){return(sv=l._dispose=l.asm.dispose).apply(null,arguments)},iv=l._Abs=function(){return(iv=l._Abs=l.asm.Abs).apply(null,arguments)},av=l._Add=function(){return(av=l._Add=l.asm.Add).apply(null,arguments)},lv=l._AddN=function(){return(lv=l._AddN=l.asm.AddN).apply(null,arguments)},uv=l._All=function(){return(uv=l._All=l.asm.All).apply(null,arguments)},cv=l._Any=function(){return(cv=l._Any=l.asm.Any).apply(null,arguments)},pv=l._ArgMax=function(){return(pv=l._ArgMax=l.asm.ArgMax).apply(null,arguments)},mv=l._AvgPool=function(){return(mv=l._AvgPool=l.asm.AvgPool).apply(null,arguments)},fv=l._BatchMatMul=function(){return(fv=l._BatchMatMul=l.asm.BatchMatMul).apply(null,arguments)},dv=l._Ceil=function(){return(dv=l._Ceil=l.asm.Ceil).apply(null,arguments)},hv=l._ClipByValue=function(){return(hv=l._ClipByValue=l.asm.ClipByValue).apply(null,arguments)},gv=l._Conv2D=function(){return(gv=l._Conv2D=l.asm.Conv2D).apply(null,arguments)},xv=l._Conv2DBackpropInput=function(){return(xv=l._Conv2DBackpropInput=l.asm.Conv2DBackpropInput).apply(null,arguments)},yv=l._Cos=function(){return(yv=l._Cos=l.asm.Cos).apply(null,arguments)},bv=l._Cosh=function(){return(bv=l._Cosh=l.asm.Cosh).apply(null,arguments)},wv=l._CropAndResize=function(){return(wv=l._CropAndResize=l.asm.CropAndResize).apply(null,arguments)},Cv=l._Cumprod=function(){return(Cv=l._Cumprod=l.asm.Cumprod).apply(null,arguments)},Iv=l._Cumsum=function(){return(Iv=l._Cumsum=l.asm.Cumsum).apply(null,arguments)},vv=l._DepthToSpace=function(){return(vv=l._DepthToSpace=l.asm.DepthToSpace).apply(null,arguments)},Sv=l._DepthwiseConv2dNative=function(){return(Sv=l._DepthwiseConv2dNative=l.asm.DepthwiseConv2dNative).apply(null,arguments)},Nv=l._Elu=function(){return(Nv=l._Elu=l.asm.Elu).apply(null,arguments)},Tv=l._Equal=function(){return(Tv=l._Equal=l.asm.Equal).apply(null,arguments)},kv=l._Exp=function(){return(kv=l._Exp=l.asm.Exp).apply(null,arguments)},Ev=l._FlipLeftRight=function(){return(Ev=l._FlipLeftRight=l.asm.FlipLeftRight).apply(null,arguments)},_v=l._Floor=function(){return(_v=l._Floor=l.asm.Floor).apply(null,arguments)},Av=l._FloorDiv=function(){return(Av=l._FloorDiv=l.asm.FloorDiv).apply(null,arguments)},$v=l._FusedBatchNorm=function(){return($v=l._FusedBatchNorm=l.asm.FusedBatchNorm).apply(null,arguments)},Dv=l._FusedConv2D=function(){return(Dv=l._FusedConv2D=l.asm.FusedConv2D).apply(null,arguments)},Rv=l._FusedDepthwiseConv2D=function(){return(Rv=l._FusedDepthwiseConv2D=l.asm.FusedDepthwiseConv2D).apply(null,arguments)},Fv=l._Gather=function(){return(Fv=l._Gather=l.asm.Gather).apply(null,arguments)},Ov=l._GatherNd=function(){return(Ov=l._GatherNd=l.asm.GatherNd).apply(null,arguments)},Pv=l._Greater=function(){return(Pv=l._Greater=l.asm.Greater).apply(null,arguments)},Lv=l._GreaterEqual=function(){return(Lv=l._GreaterEqual=l.asm.GreaterEqual).apply(null,arguments)},Mv=l._IsNan=function(){return(Mv=l._IsNan=l.asm.IsNan).apply(null,arguments)},zv=l._LeakyRelu=function(){return(zv=l._LeakyRelu=l.asm.LeakyRelu).apply(null,arguments)},Bv=l._Less=function(){return(Bv=l._Less=l.asm.Less).apply(null,arguments)},Vv=l._LessEqual=function(){return(Vv=l._LessEqual=l.asm.LessEqual).apply(null,arguments)},Gv=l._Log=function(){return(Gv=l._Log=l.asm.Log).apply(null,arguments)},Wv=l._LogicalAnd=function(){return(Wv=l._LogicalAnd=l.asm.LogicalAnd).apply(null,arguments)},Uv=l._LogicalNot=function(){return(Uv=l._LogicalNot=l.asm.LogicalNot).apply(null,arguments)},Hv=l._LogicalOr=function(){return(Hv=l._LogicalOr=l.asm.LogicalOr).apply(null,arguments)},qv=l._LogicalXor=function(){return(qv=l._LogicalXor=l.asm.LogicalXor).apply(null,arguments)},Kv=l._Max=function(){return(Kv=l._Max=l.asm.Max).apply(null,arguments)},jv=l._MaxPool=function(){return(jv=l._MaxPool=l.asm.MaxPool).apply(null,arguments)},Eg=l._Maximum=function(){return(Eg=l._Maximum=l.asm.Maximum).apply(null,arguments)},_g=l._Mean=function(){return(_g=l._Mean=l.asm.Mean).apply(null,arguments)},Gd=l._Min=function(){return(Gd=l._Min=l.asm.Min).apply(null,arguments)},Xv=l._Minimum=function(){return(Xv=l._Minimum=l.asm.Minimum).apply(null,arguments)},Yv=l._MirrorPad=function(){return(Yv=l._MirrorPad=l.asm.MirrorPad).apply(null,arguments)},Qc=l._Multiply=function(){return(Qc=l._Multiply=l.asm.Multiply).apply(null,arguments)},Ag=l._Neg=function(){return(Ag=l._Neg=l.asm.Neg).apply(null,arguments)},tp=l._NonMaxSuppressionV3=function(){return(tp=l._NonMaxSuppressionV3=l.asm.NonMaxSuppressionV3).apply(null,arguments)},ep=l._NonMaxSuppressionV4=function(){return(ep=l._NonMaxSuppressionV4=l.asm.NonMaxSuppressionV4).apply(null,arguments)},Zv=l._NonMaxSuppressionV5=function(){return(Zv=l._NonMaxSuppressionV5=l.asm.NonMaxSuppressionV5).apply(null,arguments)},j=l._NotEqual=function(){return(j=l._NotEqual=l.asm.NotEqual).apply(null,arguments)},ct=l._OneHot=function(){return(ct=l._OneHot=l.asm.OneHot).apply(null,arguments)},Dt=l._PadV2=function(){return(Dt=l._PadV2=l.asm.PadV2).apply(null,arguments)},ce=l._Pow=function(){return(ce=l._Pow=l.asm.Pow).apply(null,arguments)},Xe=l._Prelu=function(){return(Xe=l._Prelu=l.asm.Prelu).apply(null,arguments)},Ye=l._Prod=function(){return(Ye=l._Prod=l.asm.Prod).apply(null,arguments)},ne=l._RealDiv=function(){return(ne=l._RealDiv=l.asm.RealDiv).apply(null,arguments)},re=l._Reciprocal=function(){return(re=l._Reciprocal=l.asm.Reciprocal).apply(null,arguments)},yr=l._Relu=function(){return(yr=l._Relu=l.asm.Relu).apply(null,arguments)},Xn=l._Relu6=function(){return(Xn=l._Relu6=l.asm.Relu6).apply(null,arguments)},oa=l._ResizeBilinear=function(){return(oa=l._ResizeBilinear=l.asm.ResizeBilinear).apply(null,arguments)},$g=l._ResizeNearestNeighbor=function(){return($g=l._ResizeNearestNeighbor=l.asm.ResizeNearestNeighbor).apply(null,arguments)},Wd=l._Reverse=function(){return(Wd=l._Reverse=l.asm.Reverse).apply(null,arguments)},Jv=l._RotateWithOffset=function(){return(Jv=l._RotateWithOffset=l.asm.RotateWithOffset).apply(null,arguments)},nn=l._Round=function(){return(nn=l._Round=l.asm.Round).apply(null,arguments)},kl=l._Rsqrt=function(){return(kl=l._Rsqrt=l.asm.Rsqrt).apply(null,arguments)},Dg=l._ScatterNd=function(){return(Dg=l._ScatterNd=l.asm.ScatterNd).apply(null,arguments)},rU=l._SelectV2=function(){return(rU=l._SelectV2=l.asm.SelectV2).apply(null,arguments)},nU=l._Sigmoid=function(){return(nU=l._Sigmoid=l.asm.Sigmoid).apply(null,arguments)},oU=l._Sin=function(){return(oU=l._Sin=l.asm.Sin).apply(null,arguments)},sU=l._Softmax=function(){return(sU=l._Softmax=l.asm.Softmax).apply(null,arguments)},iU=l._SparseFillEmptyRows=function(){return(iU=l._SparseFillEmptyRows=l.asm.SparseFillEmptyRows).apply(null,arguments)},aU=l._SparseReshape=function(){return(aU=l._SparseReshape=l.asm.SparseReshape).apply(null,arguments)},lU=l._SparseSegmentReduction=function(){return(lU=l._SparseSegmentReduction=l.asm.SparseSegmentReduction).apply(null,arguments)},uU=l._Sqrt=function(){return(uU=l._Sqrt=l.asm.Sqrt).apply(null,arguments)},cU=l._Square=function(){return(cU=l._Square=l.asm.Square).apply(null,arguments)},pU=l._SquaredDifference=function(){return(pU=l._SquaredDifference=l.asm.SquaredDifference).apply(null,arguments)},mU=l._Step=function(){return(mU=l._Step=l.asm.Step).apply(null,arguments)},fU=l._StridedSlice=function(){return(fU=l._StridedSlice=l.asm.StridedSlice).apply(null,arguments)},dU=l._Sub=function(){return(dU=l._Sub=l.asm.Sub).apply(null,arguments)},hU=l._Sum=function(){return(hU=l._Sum=l.asm.Sum).apply(null,arguments)},gU=l._Tan=function(){return(gU=l._Tan=l.asm.Tan).apply(null,arguments)},xU=l._Tanh=function(){return(xU=l._Tanh=l.asm.Tanh).apply(null,arguments)},yU=l._Tile=function(){return(yU=l._Tile=l.asm.Tile).apply(null,arguments)},bU=l._TopK=function(){return(bU=l._TopK=l.asm.TopK).apply(null,arguments)},wU=l._Transform=function(){return(wU=l._Transform=l.asm.Transform).apply(null,arguments)},CU=l._Transpose=function(){return(CU=l._Transpose=l.asm.Transpose).apply(null,arguments)},IU=l.__FusedMatMul=function(){return(IU=l.__FusedMatMul=l.asm._FusedMatMul).apply(null,arguments)},vU=l._malloc=function(){return(vU=l._malloc=l.asm.malloc).apply(null,arguments)},SU=l._free=function(){return(SU=l._free=l.asm.free).apply(null,arguments)},NU=l.__emscripten_tls_init=function(){return(NU=l.__emscripten_tls_init=l.asm._emscripten_tls_init).apply(null,arguments)},Rg=l._pthread_self=function(){return(Rg=l._pthread_self=l.asm.pthread_self).apply(null,arguments)},TU=l.___errno_location=function(){return(TU=l.___errno_location=l.asm.__errno_location).apply(null,arguments)},Zk=l.__emscripten_thread_init=function(){return(Zk=l.__emscripten_thread_init=l.asm._emscripten_thread_init).apply(null,arguments)},kU=l.__emscripten_thread_crashed=function(){return(kU=l.__emscripten_thread_crashed=l.asm._emscripten_thread_crashed).apply(null,arguments)},EU=l._emscripten_main_thread_process_queued_calls=function(){return(EU=l._emscripten_main_thread_process_queued_calls=l.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},_U=l._emscripten_main_browser_thread_id=function(){return(_U=l._emscripten_main_browser_thread_id=l.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jk=l._emscripten_run_in_main_runtime_thread_js=function(){return(Jk=l._emscripten_run_in_main_runtime_thread_js=l.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},AU=l._emscripten_dispatch_to_thread_=function(){return(AU=l._emscripten_dispatch_to_thread_=l.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},Qk=l.__emscripten_proxy_execute_task_queue=function(){return(Qk=l.__emscripten_proxy_execute_task_queue=l.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Qv=l.__emscripten_thread_free_data=function(){return(Qv=l.__emscripten_thread_free_data=l.asm._emscripten_thread_free_data).apply(null,arguments)},t1=l.__emscripten_thread_exit=function(){return(t1=l.__emscripten_thread_exit=l.asm._emscripten_thread_exit).apply(null,arguments)},e1=l._emscripten_stack_set_limits=function(){return(e1=l._emscripten_stack_set_limits=l.asm.emscripten_stack_set_limits).apply(null,arguments)},t0=l.stackSave=function(){return(t0=l.stackSave=l.asm.stackSave).apply(null,arguments)},Fg=l.stackRestore=function(){return(Fg=l.stackRestore=l.asm.stackRestore).apply(null,arguments)},Og=l.stackAlloc=function(){return(Og=l.stackAlloc=l.asm.stackAlloc).apply(null,arguments)},$U=l.dynCall_iijjiiii=function(){return($U=l.dynCall_iijjiiii=l.asm.dynCall_iijjiiii).apply(null,arguments)},DU=l.dynCall_jiji=function(){return(DU=l.dynCall_jiji=l.asm.dynCall_jiji).apply(null,arguments)};l.keepRuntimeAlive=Mo,l.wasmMemory=st,l.cwrap=ZI,l.ExitStatus=_u,l.PThread=jt;var Pg;na=function L(){Pg||r1(),Pg||(na=L)};function r1(L){if(L=L||d,Nl>0)return;if(C){c(l),Er(),startWorker(l);return}if(si(),Nl>0)return;function U(){Pg||(Pg=!0,l.calledRun=!0,!gt&&(Er(),c(l),l.onRuntimeInitialized&&l.onRuntimeInitialized(),ra()))}l.setStatus?(l.setStatus("Running..."),setTimeout(function(){setTimeout(function(){l.setStatus("")},1),U()},1)):U()}if(l.preInit)for(typeof l.preInit=="function"&&(l.preInit=[l.preInit]);l.preInit.length>0;)l.preInit.pop()();r1();var Lg;m&&(Lg={uncaughtException:process.listeners("uncaughtException").filter(function(L){return!m.uncaughtException.indexOf(L)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(L){return!m.unhandledRejection.indexOf(L)>-1})});var Mg;if(typeof WasmBackendModule!="undefined")Mg=WasmBackendModule;else if(typeof t!="undefined")Mg=t;else throw new Error("Could not find wasm module in post.js");if(Lg){var RU=Mg._dispose;Mg._dispose=function(){RU(),Lg.uncaughtException.forEach(function(L){process.removeListener("uncaughtException",L)}),Lg.unhandledRejection.forEach(function(L){process.removeListener("unhandledRejection",L)})}}return t.ready}})();typeof fI=="object"&&typeof Bk=="object"?Bk.exports=zk:typeof define=="function"&&define.amd?define([],function(){return zk}):typeof fI=="object"&&(fI.WasmBackendModuleThreadedSimd=zk)});var jW=br((g8e,KW)=>{KW.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" ");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`});var XW=br((dI,Gk)=>{var Vk=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(t){t=t||{};var e=typeof t!="undefined"?t:{},n,o;e.ready=new Promise(function(j,ct){n=j,o=ct});var s;typeof process!="undefined"&&process.listeners&&(s={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var i=Object.assign({},e),a=[],u="./this.program",l=(j,ct)=>{throw ct},c=typeof window=="object",p=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",f="";function d(j){return e.locateFile?e.locateFile(j,f):f+j}var h,g,x,b;function w(j){if(j instanceof Yc)return;A("exiting due to exception: "+j)}if(m){var C=Zb(),N=Mk();p?f=N.dirname(f)+"/":f=__dirname+"/",h=(j,ct)=>(j=si(j)?new URL(j):N.normalize(j),C.readFileSync(j,ct?void 0:"utf8")),x=j=>{var ct=h(j,!0);return ct.buffer||(ct=new Uint8Array(ct)),ct},g=(j,ct,Dt)=>{j=si(j)?new URL(j):N.normalize(j),C.readFile(j,function(ce,Xe){ce?Dt(ce):ct(Xe.buffer)})},process.argv.length>1&&(u=process.argv[1].replace(/\\/g,"/")),a=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Yc))throw j}),process.on("unhandledRejection",function(j){throw j}),l=(j,ct)=>{if(fe())throw process.exitCode=j,ct;w(ct),process.exit(j)},e.inspect=function(){return"[Emscripten Module object]"}}else(c||p)&&(p?f=self.location.href:typeof document!="undefined"&&document.currentScript&&(f=document.currentScript.src),r&&(f=r),f.indexOf("blob:")!==0?f=f.substr(0,f.replace(/[?#].*/,"").lastIndexOf("/")+1):f="",h=j=>{var ct=new XMLHttpRequest;return ct.open("GET",j,!1),ct.send(null),ct.responseText},p&&(x=j=>{var ct=new XMLHttpRequest;return ct.open("GET",j,!1),ct.responseType="arraybuffer",ct.send(null),new Uint8Array(ct.response)}),g=(j,ct,Dt)=>{var ce=new XMLHttpRequest;ce.open("GET",j,!0),ce.responseType="arraybuffer",ce.onload=()=>{if(ce.status==200||ce.status==0&&ce.response){ct(ce.response);return}Dt()},ce.onerror=Dt,ce.send(null)},b=j=>document.title=j);var _=e.print||console.log.bind(console),A=e.printErr||console.warn.bind(console);Object.assign(e,i),i=null,e.arguments&&(a=e.arguments),e.thisProgram&&(u=e.thisProgram),e.quit&&(l=e.quit);var $=4,F;e.wasmBinary&&(F=e.wasmBinary);var P=e.noExitRuntime||!0;typeof WebAssembly!="object"&&Zr("no native wasm support detected");var V,G=!1,W;function q(j,ct){j||Zr(ct)}var H=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function K(j,ct,Dt){for(var ce=ct+Dt,Xe=ct;j[Xe]&&!(Xe>=ce);)++Xe;if(Xe-ct>16&&j.buffer&&H)return H.decode(j.subarray(ct,Xe));for(var Ye="";ct>10,56320|Xn&1023)}}return Ye}function X(j,ct){return j?K(at,j,ct):""}function Z(j,ct,Dt,ce){if(!(ce>0))return 0;for(var Xe=Dt,Ye=Dt+ce-1,ne=0;ne=55296&&re<=57343){var yr=j.charCodeAt(++ne);re=65536+((re&1023)<<10)|yr&1023}if(re<=127){if(Dt>=Ye)break;ct[Dt++]=re}else if(re<=2047){if(Dt+1>=Ye)break;ct[Dt++]=192|re>>6,ct[Dt++]=128|re&63}else if(re<=65535){if(Dt+2>=Ye)break;ct[Dt++]=224|re>>12,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}else{if(Dt+3>=Ye)break;ct[Dt++]=240|re>>18,ct[Dt++]=128|re>>12&63,ct[Dt++]=128|re>>6&63,ct[Dt++]=128|re&63}}return ct[Dt]=0,Dt-Xe}function et(j,ct,Dt){return Z(j,at,ct,Dt)}var rt,ot,at,nt,st,ft,gt,Ct,$t;function _t(j){rt=j,e.HEAP8=ot=new Int8Array(j),e.HEAP16=nt=new Int16Array(j),e.HEAP32=ft=new Int32Array(j),e.HEAPU8=at=new Uint8Array(j),e.HEAPU16=st=new Uint16Array(j),e.HEAPU32=gt=new Uint32Array(j),e.HEAPF32=Ct=new Float32Array(j),e.HEAPF64=$t=new Float64Array(j)}var Gt=e.INITIAL_MEMORY||16777216,Wt,ue=[],he=[],ee=[],ge=!1;function fe(){return P}function Ae(){if(e.preRun)for(typeof e.preRun=="function"&&(e.preRun=[e.preRun]);e.preRun.length;)ar(e.preRun.shift());na(ue)}function $e(){ge=!0,na(he)}function $n(){if(e.postRun)for(typeof e.postRun=="function"&&(e.postRun=[e.postRun]);e.postRun.length;)zr(e.postRun.shift());na(ee)}function ar(j){ue.unshift(j)}function qn(j){he.unshift(j)}function zr(j){ee.unshift(j)}var je=0,Br=null,Vr=null;function Kn(j){je++,e.monitorRunDependencies&&e.monitorRunDependencies(je)}function jn(j){if(je--,e.monitorRunDependencies&&e.monitorRunDependencies(je),je==0&&(Br!==null&&(clearInterval(Br),Br=null),Vr)){var ct=Vr;Vr=null,ct()}}function Zr(j){e.onAbort&&e.onAbort(j),j="Aborted("+j+")",A(j),G=!0,W=1,j+=". Build with -sASSERTIONS for more info.";var ct=new WebAssembly.RuntimeError(j);throw o(ct),ct}var ea="data:application/octet-stream;base64,";function Mo(j){return j.startsWith(ea)}function si(j){return j.startsWith("file://")}var Er;Er="tfjs-backend-wasm.wasm",Mo(Er)||(Er=d(Er));function ra(j){try{if(j==Er&&F)return new Uint8Array(F);if(x)return x(j);throw"both async and sync fetching of the wasm failed"}catch(ct){Zr(ct)}}function Od(){if(!F&&(c||p)){if(typeof fetch=="function"&&!si(Er))return fetch(Er,{credentials:"same-origin"}).then(function(j){if(!j.ok)throw"failed to load wasm binary file at '"+Er+"'";return j.arrayBuffer()}).catch(function(){return ra(Er)});if(g)return new Promise(function(j,ct){g(Er,function(Dt){j(new Uint8Array(Dt))},ct)})}return Promise.resolve().then(function(){return ra(Er)})}function Pd(){var j={env:Ld,wasi_snapshot_preview1:Ld};function ct(ne,re){var yr=ne.exports;e.asm=yr,V=e.asm.memory,_t(V.buffer),Wt=e.asm.__indirect_function_table,qn(e.asm.__wasm_call_ctors),jn("wasm-instantiate")}Kn("wasm-instantiate");function Dt(ne){ct(ne.instance)}function ce(ne){return Od().then(function(re){return WebAssembly.instantiate(re,j)}).then(function(re){return re}).then(ne,function(re){A("failed to asynchronously prepare wasm: "+re),Zr(re)})}function Xe(){return!F&&typeof WebAssembly.instantiateStreaming=="function"&&!Mo(Er)&&!si(Er)&&!m&&typeof fetch=="function"?fetch(Er,{credentials:"same-origin"}).then(function(ne){var re=WebAssembly.instantiateStreaming(ne,j);return re.then(Dt,function(yr){return A("wasm streaming compile failed: "+yr),A("falling back to ArrayBuffer instantiation"),ce(Dt)})}):ce(Dt)}if(e.instantiateWasm)try{var Ye=e.instantiateWasm(j,ct);return Ye}catch(ne){A("Module.instantiateWasm callback failed with error: "+ne),o(ne)}return Xe().catch(o),{}}var Kk,Nl;function Yc(j){this.name="ExitStatus",this.message="Program terminated with exit("+j+")",this.status=j}function na(j){for(;j.length>0;)j.shift()(e)}function gI(){Zr("")}function mg(){return 2147483648}function Eu(){return mg()}function xI(j,ct,Dt){at.copyWithin(j,ct,ct+Dt)}function fg(j){try{return V.grow(j-rt.byteLength+65535>>>16),_t(V.buffer),1}catch(ct){}}function Zc(j){var ct=at.length;j=j>>>0;var Dt=mg();if(j>Dt)return!1;let ce=(yr,Xn)=>yr+(Xn-yr%Xn)%Xn;for(var Xe=1;Xe<=4;Xe*=2){var Ye=ct*(1+.2/Xe);Ye=Math.min(Ye,j+100663296);var ne=Math.min(Dt,ce(Math.max(j,Ye),65536)),re=fg(ne);if(re)return!0}return!1}var Jr={varargs:void 0,get:function(){Jr.varargs+=4;var j=ft[Jr.varargs-4>>2];return j},getStr:function(j){var ct=X(j);return ct}};function dg(j){return 52}function yI(j,ct,Dt,ce,Xe){return 70}var bI=[null,[],[]];function jk(j,ct){var Dt=bI[j];ct===0||ct===10?((j===1?_:A)(K(Dt,0)),Dt.length=0):Dt.push(ct)}function Xk(j,ct,Dt,ce){for(var Xe=0,Ye=0;Ye>2],re=gt[ct+4>>2];ct+=8;for(var yr=0;yr>2]=Xe,0}function hg(j){var ct=e["_"+j];return ct}function _u(j,ct){ot.set(j,ct)}function wI(j,ct,Dt,ce,Xe){var Ye={string:nn=>{var kl=0;if(nn!=null&&nn!==0){var Dg=(nn.length<<2)+1;kl=Gd(Dg),et(nn,kl,Dg)}return kl},array:nn=>{var kl=Gd(nn.length);return _u(nn,kl),kl}};function ne(nn){return ct==="string"?X(nn):ct==="boolean"?Boolean(nn):nn}var re=hg(j),yr=[],Xn=0;if(ce)for(var oa=0;oane==="number"||ne==="boolean"),Ye=ct!=="string";return Ye&&Xe&&!ce?hg(j):function(){return wI(j,ct,Dt,arguments,ce)}}var Ld={abort:gI,emscripten_get_heap_max:Eu,emscripten_memcpy_big:xI,emscripten_resize_heap:Zc,fd_close:dg,fd_seek:yI,fd_write:Xk},II=Pd(),gg=e.___wasm_call_ctors=function(){return(gg=e.___wasm_call_ctors=e.asm.__wasm_call_ctors).apply(null,arguments)},xg=e._init=function(){return(xg=e._init=e.asm.init).apply(null,arguments)},vI=e._init_with_threads_count=function(){return(vI=e._init_with_threads_count=e.asm.init_with_threads_count).apply(null,arguments)},yg=e._get_threads_count=function(){return(yg=e._get_threads_count=e.asm.get_threads_count).apply(null,arguments)},SI=e._register_tensor=function(){return(SI=e._register_tensor=e.asm.register_tensor).apply(null,arguments)},jt=e._dispose_data=function(){return(jt=e._dispose_data=e.asm.dispose_data).apply(null,arguments)},Md=e._dispose=function(){return(Md=e._dispose=e.asm.dispose).apply(null,arguments)},NI=e._Abs=function(){return(NI=e._Abs=e.asm.Abs).apply(null,arguments)},bg=e._Add=function(){return(bg=e._Add=e.asm.Add).apply(null,arguments)},Jc=e._AddN=function(){return(Jc=e._AddN=e.asm.AddN).apply(null,arguments)},TI=e._All=function(){return(TI=e._All=e.asm.All).apply(null,arguments)},kI=e._Any=function(){return(kI=e._Any=e.asm.Any).apply(null,arguments)},EI=e._ArgMax=function(){return(EI=e._ArgMax=e.asm.ArgMax).apply(null,arguments)},_I=e._AvgPool=function(){return(_I=e._AvgPool=e.asm.AvgPool).apply(null,arguments)},AI=e._BatchMatMul=function(){return(AI=e._BatchMatMul=e.asm.BatchMatMul).apply(null,arguments)},wg=e._Ceil=function(){return(wg=e._Ceil=e.asm.Ceil).apply(null,arguments)},Cg=e._ClipByValue=function(){return(Cg=e._ClipByValue=e.asm.ClipByValue).apply(null,arguments)},$I=e._Conv2D=function(){return($I=e._Conv2D=e.asm.Conv2D).apply(null,arguments)},DI=e._Conv2DBackpropInput=function(){return(DI=e._Conv2DBackpropInput=e.asm.Conv2DBackpropInput).apply(null,arguments)},RI=e._Cos=function(){return(RI=e._Cos=e.asm.Cos).apply(null,arguments)},zd=e._Cosh=function(){return(zd=e._Cosh=e.asm.Cosh).apply(null,arguments)},FI=e._CropAndResize=function(){return(FI=e._CropAndResize=e.asm.CropAndResize).apply(null,arguments)},OI=e._Cumprod=function(){return(OI=e._Cumprod=e.asm.Cumprod).apply(null,arguments)},PI=e._Cumsum=function(){return(PI=e._Cumsum=e.asm.Cumsum).apply(null,arguments)},Au=e._DepthToSpace=function(){return(Au=e._DepthToSpace=e.asm.DepthToSpace).apply(null,arguments)},LI=e._DepthwiseConv2dNative=function(){return(LI=e._DepthwiseConv2dNative=e.asm.DepthwiseConv2dNative).apply(null,arguments)},MI=e._Elu=function(){return(MI=e._Elu=e.asm.Elu).apply(null,arguments)},Ig=e._Equal=function(){return(Ig=e._Equal=e.asm.Equal).apply(null,arguments)},zI=e._Exp=function(){return(zI=e._Exp=e.asm.Exp).apply(null,arguments)},Bd=e._FlipLeftRight=function(){return(Bd=e._FlipLeftRight=e.asm.FlipLeftRight).apply(null,arguments)},BI=e._Floor=function(){return(BI=e._Floor=e.asm.Floor).apply(null,arguments)},VI=e._FloorDiv=function(){return(VI=e._FloorDiv=e.asm.FloorDiv).apply(null,arguments)},GI=e._FusedBatchNorm=function(){return(GI=e._FusedBatchNorm=e.asm.FusedBatchNorm).apply(null,arguments)},Tl=e._FusedConv2D=function(){return(Tl=e._FusedConv2D=e.asm.FusedConv2D).apply(null,arguments)},Vd=e._FusedDepthwiseConv2D=function(){return(Vd=e._FusedDepthwiseConv2D=e.asm.FusedDepthwiseConv2D).apply(null,arguments)},WI=e._Gather=function(){return(WI=e._Gather=e.asm.Gather).apply(null,arguments)},UI=e._GatherNd=function(){return(UI=e._GatherNd=e.asm.GatherNd).apply(null,arguments)},HI=e._Greater=function(){return(HI=e._Greater=e.asm.Greater).apply(null,arguments)},qI=e._GreaterEqual=function(){return(qI=e._GreaterEqual=e.asm.GreaterEqual).apply(null,arguments)},vg=e._IsNan=function(){return(vg=e._IsNan=e.asm.IsNan).apply(null,arguments)},Sg=e._LeakyRelu=function(){return(Sg=e._LeakyRelu=e.asm.LeakyRelu).apply(null,arguments)},KI=e._Less=function(){return(KI=e._Less=e.asm.Less).apply(null,arguments)},jI=e._LessEqual=function(){return(jI=e._LessEqual=e.asm.LessEqual).apply(null,arguments)},Ng=e._Log=function(){return(Ng=e._Log=e.asm.Log).apply(null,arguments)},Tg=e._LogicalAnd=function(){return(Tg=e._LogicalAnd=e.asm.LogicalAnd).apply(null,arguments)},XI=e._LogicalNot=function(){return(XI=e._LogicalNot=e.asm.LogicalNot).apply(null,arguments)},YI=e._LogicalOr=function(){return(YI=e._LogicalOr=e.asm.LogicalOr).apply(null,arguments)},ZI=e._LogicalXor=function(){return(ZI=e._LogicalXor=e.asm.LogicalXor).apply(null,arguments)},JI=e._Max=function(){return(JI=e._Max=e.asm.Max).apply(null,arguments)},kg=e._MaxPool=function(){return(kg=e._MaxPool=e.asm.MaxPool).apply(null,arguments)},Yk=e._Maximum=function(){return(Yk=e._Maximum=e.asm.Maximum).apply(null,arguments)},QI=e._Mean=function(){return(QI=e._Mean=e.asm.Mean).apply(null,arguments)},tv=e._Min=function(){return(tv=e._Min=e.asm.Min).apply(null,arguments)},ev=e._Minimum=function(){return(ev=e._Minimum=e.asm.Minimum).apply(null,arguments)},rv=e._MirrorPad=function(){return(rv=e._MirrorPad=e.asm.MirrorPad).apply(null,arguments)},nv=e._Multiply=function(){return(nv=e._Multiply=e.asm.Multiply).apply(null,arguments)},ov=e._Neg=function(){return(ov=e._Neg=e.asm.Neg).apply(null,arguments)},sv=e._NonMaxSuppressionV3=function(){return(sv=e._NonMaxSuppressionV3=e.asm.NonMaxSuppressionV3).apply(null,arguments)},iv=e._NonMaxSuppressionV4=function(){return(iv=e._NonMaxSuppressionV4=e.asm.NonMaxSuppressionV4).apply(null,arguments)},av=e._NonMaxSuppressionV5=function(){return(av=e._NonMaxSuppressionV5=e.asm.NonMaxSuppressionV5).apply(null,arguments)},lv=e._NotEqual=function(){return(lv=e._NotEqual=e.asm.NotEqual).apply(null,arguments)},uv=e._OneHot=function(){return(uv=e._OneHot=e.asm.OneHot).apply(null,arguments)},cv=e._PadV2=function(){return(cv=e._PadV2=e.asm.PadV2).apply(null,arguments)},pv=e._Pow=function(){return(pv=e._Pow=e.asm.Pow).apply(null,arguments)},mv=e._Prelu=function(){return(mv=e._Prelu=e.asm.Prelu).apply(null,arguments)},fv=e._Prod=function(){return(fv=e._Prod=e.asm.Prod).apply(null,arguments)},dv=e._RealDiv=function(){return(dv=e._RealDiv=e.asm.RealDiv).apply(null,arguments)},hv=e._Reciprocal=function(){return(hv=e._Reciprocal=e.asm.Reciprocal).apply(null,arguments)},gv=e._Relu=function(){return(gv=e._Relu=e.asm.Relu).apply(null,arguments)},xv=e._Relu6=function(){return(xv=e._Relu6=e.asm.Relu6).apply(null,arguments)},yv=e._ResizeBilinear=function(){return(yv=e._ResizeBilinear=e.asm.ResizeBilinear).apply(null,arguments)},bv=e._ResizeNearestNeighbor=function(){return(bv=e._ResizeNearestNeighbor=e.asm.ResizeNearestNeighbor).apply(null,arguments)},wv=e._Reverse=function(){return(wv=e._Reverse=e.asm.Reverse).apply(null,arguments)},Cv=e._RotateWithOffset=function(){return(Cv=e._RotateWithOffset=e.asm.RotateWithOffset).apply(null,arguments)},Iv=e._Round=function(){return(Iv=e._Round=e.asm.Round).apply(null,arguments)},vv=e._Rsqrt=function(){return(vv=e._Rsqrt=e.asm.Rsqrt).apply(null,arguments)},Sv=e._ScatterNd=function(){return(Sv=e._ScatterNd=e.asm.ScatterNd).apply(null,arguments)},Nv=e._SelectV2=function(){return(Nv=e._SelectV2=e.asm.SelectV2).apply(null,arguments)},Tv=e._Sigmoid=function(){return(Tv=e._Sigmoid=e.asm.Sigmoid).apply(null,arguments)},kv=e._Sin=function(){return(kv=e._Sin=e.asm.Sin).apply(null,arguments)},Ev=e._Softmax=function(){return(Ev=e._Softmax=e.asm.Softmax).apply(null,arguments)},_v=e._SparseFillEmptyRows=function(){return(_v=e._SparseFillEmptyRows=e.asm.SparseFillEmptyRows).apply(null,arguments)},Av=e._SparseReshape=function(){return(Av=e._SparseReshape=e.asm.SparseReshape).apply(null,arguments)},$v=e._SparseSegmentReduction=function(){return($v=e._SparseSegmentReduction=e.asm.SparseSegmentReduction).apply(null,arguments)},Dv=e._Sqrt=function(){return(Dv=e._Sqrt=e.asm.Sqrt).apply(null,arguments)},Rv=e._Square=function(){return(Rv=e._Square=e.asm.Square).apply(null,arguments)},Fv=e._SquaredDifference=function(){return(Fv=e._SquaredDifference=e.asm.SquaredDifference).apply(null,arguments)},Ov=e._Step=function(){return(Ov=e._Step=e.asm.Step).apply(null,arguments)},Pv=e._StridedSlice=function(){return(Pv=e._StridedSlice=e.asm.StridedSlice).apply(null,arguments)},Lv=e._Sub=function(){return(Lv=e._Sub=e.asm.Sub).apply(null,arguments)},Mv=e._Sum=function(){return(Mv=e._Sum=e.asm.Sum).apply(null,arguments)},zv=e._Tan=function(){return(zv=e._Tan=e.asm.Tan).apply(null,arguments)},Bv=e._Tanh=function(){return(Bv=e._Tanh=e.asm.Tanh).apply(null,arguments)},Vv=e._Tile=function(){return(Vv=e._Tile=e.asm.Tile).apply(null,arguments)},Gv=e._TopK=function(){return(Gv=e._TopK=e.asm.TopK).apply(null,arguments)},Wv=e._Transform=function(){return(Wv=e._Transform=e.asm.Transform).apply(null,arguments)},Uv=e._Transpose=function(){return(Uv=e._Transpose=e.asm.Transpose).apply(null,arguments)},Hv=e.__FusedMatMul=function(){return(Hv=e.__FusedMatMul=e.asm._FusedMatMul).apply(null,arguments)},qv=e._malloc=function(){return(qv=e._malloc=e.asm.malloc).apply(null,arguments)},Kv=e._free=function(){return(Kv=e._free=e.asm.free).apply(null,arguments)},jv=e.___errno_location=function(){return(jv=e.___errno_location=e.asm.__errno_location).apply(null,arguments)},Eg=e.stackSave=function(){return(Eg=e.stackSave=e.asm.stackSave).apply(null,arguments)},_g=e.stackRestore=function(){return(_g=e.stackRestore=e.asm.stackRestore).apply(null,arguments)},Gd=e.stackAlloc=function(){return(Gd=e.stackAlloc=e.asm.stackAlloc).apply(null,arguments)},Xv=e.dynCall_iijjiiii=function(){return(Xv=e.dynCall_iijjiiii=e.asm.dynCall_iijjiiii).apply(null,arguments)},Yv=e.dynCall_jiji=function(){return(Yv=e.dynCall_jiji=e.asm.dynCall_jiji).apply(null,arguments)};e.cwrap=CI;var Qc;Vr=function j(){Qc||Ag(),Qc||(Vr=j)};function Ag(j){if(j=j||a,je>0||(Ae(),je>0))return;function ct(){Qc||(Qc=!0,e.calledRun=!0,!G&&($e(),n(e),e.onRuntimeInitialized&&e.onRuntimeInitialized(),$n()))}e.setStatus?(e.setStatus("Running..."),setTimeout(function(){setTimeout(function(){e.setStatus("")},1),ct()},1)):ct()}if(e.preInit)for(typeof e.preInit=="function"&&(e.preInit=[e.preInit]);e.preInit.length>0;)e.preInit.pop()();Ag();var tp;s&&(tp={uncaughtException:process.listeners("uncaughtException").filter(function(j){return!s.uncaughtException.indexOf(j)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(j){return!s.unhandledRejection.indexOf(j)>-1})});var ep;if(typeof t!="undefined")ep=t;else if(typeof WasmBackendModuleThreadedSimd!="undefined")ep=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(tp){var Zv=ep._dispose;ep._dispose=function(){Zv(),tp.uncaughtException.forEach(function(j){process.removeListener("uncaughtException",j)}),tp.unhandledRejection.forEach(function(j){process.removeListener("unhandledRejection",j)})}}return t.ready}})();typeof dI=="object"&&typeof Gk=="object"?Gk.exports=Vk:typeof define=="function"&&define.amd?define([],function(){return Vk}):typeof dI=="object"&&(dI.WasmBackendModule=Vk)});var ia=class{constructor(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}get(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)}set(t,e){this.dataIdsCount++,this.data.set(t,e)}has(t){return this.data.has(t)}delete(t){return this.dataIdsCount--,this.data.delete(t)}numDataIds(){return this.dataIdsCount}},zo=class{refCount(t){return Rn("refCount")}incRef(t){return Rn("incRef")}timerAvailable(){return!0}time(t){return Rn("time")}read(t){return Rn("read")}readSync(t){return Rn("readSync")}readToGPU(t,e){return Rn("readToGPU")}numDataIds(){return Rn("numDataIds")}disposeData(t,e){return Rn("disposeData")}write(t,e,n){return Rn("write")}move(t,e,n,o,s){return Rn("move")}createTensorFromGPUData(t,e,n){return Rn("createTensorFromGPUData")}memory(){return Rn("memory")}floatPrecision(){return Rn("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Rn("dispose")}};function Rn(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function s1(r){let t=r.length,e=0;for(;t>0;)e=Math.random()*t|0,t--,zg(r,t,e)}function VU(r,t){if(r.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${t.length}`);let e=r.length,n=0;for(;e>0;)n=Math.random()*e|0,e--,zg(r,e,n),zg(t,e,n)}function np(r,t,e){return Math.max(r,Math.min(t,e))}function GU(r){return r%2===0?r:r+1}function zg(r,t,e){let n=r[t];r[t]=r[e],r[e]=n}function WU(r){let t=0;for(let e=0;ee+` Shapes ${r} and ${t} must match`)}function Zn(r){E(r!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Jt(r){if(r.length===0)return 1;let t=r[0];for(let e=1;e0,e,n){return new Promise((o,s)=>{let i=0,a=()=>{if(r()){o();return}i++;let u=t(i);if(e!=null&&i>=e){s();return}n!=null?n(a,u):setTimeout(a,u)};a()})}function ZU(r,t){let e=1,n=-1;for(let s=0;s=0)e*=r[s];else if(r[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==e)throw Error(`Size(${t}) must match the product of shape ${r}`);return r}if(e===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(t%e!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${e}`);let o=r.slice();return o[n]=t/e,o}function pr(r,t){let e=t.length;return r=r==null?t.map((n,o)=>o):[].concat(r),E(r.every(n=>n>=-e&&n`All values in axis param must be in range [-${e}, ${e}) but got axis ${r}`),E(r.every(n=>aa(n)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(n=>n<0?e+n:n)}function n0(r,t){let e=[],n=[],o=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||o?null:pr(t,r).sort(),i=0;for(let a=0;aa)&&r[a]===1&&(e.push(r[a]),n.push(a)),s[i]<=a&&i++}r[a]!==1&&(e.push(r[a]),n.push(a))}return{newShape:e,keptDims:n}}function o0(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else throw new Error(`Unknown data type ${r}`);return e}function s0(r,t){let e=null;if(r==null||r==="float32")e=new Float32Array(t);else if(r==="int32")e=new Int32Array(t);else if(r==="bool")e=new Uint8Array(t);else if(r==="string")e=new Array(t);else throw new Error(`Unknown data type ${r}`);return e}function i0(r,t){for(let e=0;et+=e.length),t}function Bo(r){return typeof r=="string"||r instanceof String}function i1(r){return typeof r=="boolean"}function a1(r){return typeof r=="number"}function sp(r){return Array.isArray(r)?sp(r[0]):r instanceof Float32Array?"float32":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?"int32":a1(r)?"float32":Bo(r)?"string":i1(r)?"bool":"float32"}function ii(r){return!!(r&&r.constructor&&r.call&&r.apply)}function ip(r,t){for(let e=t;e=0;--n)e[n]=e[n+1]*r[n+1];return e}function l1(r,t,e,n=!1){let o=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;iu*l)*(n?2:1);for(let u=0;uo*s)*(e?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${r}] does not match the input size ${t.length}${e?" for a complex tensor":""}.`);return l1(0,r,t,e)}function QU(r,t){if(Array.isArray(r))return r;if(t==="float32")return r instanceof Float32Array?r:new Float32Array(r);if(t==="int32")return r instanceof Int32Array?r:new Int32Array(r);if(t==="bool"||t==="string")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${t}`)}function Ud(r,t){let e=ap(r,t);for(let n=0;nn*o,1);if(t==null||t==="float32")return $u(r,new Float32Array(e));if(t==="int32")return $u(r,new Int32Array(e));if(t==="bool")return $u(r,new Uint8Array(e));throw new Error(`Unknown data type ${t}`)}function Le(r){r.forEach(t=>{E(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function e4(r,t,e){if(t===0)return 0;if(t===1)return r[0];let n=r[r.length-1];for(let o=0;o{let[o,s]=n.split(":");this.urlFlags[o]=i4(o,s)})}};function o4(r){let t={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(e,...n)=>(s4(t,n[0],n[1]),n.join("="))),t}function s4(r,t,e){r[decodeURIComponent(t)]=decodeURIComponent(e||"")}function i4(r,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${r}.`)}function M(){return u0}var u0=null;function c1(r){u0=r}var c0;function p0(){if(c0==null){let r;if(typeof window!="undefined")r=window;else if(typeof global!="undefined")r=global;else if(typeof process!="undefined")r=process;else if(typeof self!="undefined")r=self;else throw new Error("Could not find a global object");c0=r}return c0}function a4(){let r=p0();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function qd(r,t){let e=a4();if(e.has(r))return e.get(r);{let n=t();return e.set(r,n),e.get(r)}}var li="Abs",la="Acos",ua="Acosh",Jn="Add",Vo="AddN",ca="All",pa="Any",Go="ArgMax",_l="ArgMin",ma="Asin",fa="Asinh",da="Atan",ha="Atanh",ga="Atan2",Wo="AvgPool",lp="AvgPoolGrad",Al="AvgPool3D",up="AvgPool3DGrad",Uo="BatchMatMul",ui="BatchToSpaceND",cp="Bincount",p1="BroadcastTo",pp="BroadcastArgs",uo="Cast",Ho="Ceil",co="ClipByValue",mp="Complex",$l="ComplexAbs",ci="Concat",qo="Conv2D",fp="Conv2DBackpropFilter",Ko="Conv2DBackpropInput",Dl="Conv3D",dp="Conv3DBackpropFilterV2",hp="Conv3DBackpropInputV2",jo="Cos",Xo="Cosh",xa="Cumprod",Yo="Cumsum",ya="CropAndResize",gp="DenseBincount",ba="DepthToSpace",Zo="DepthwiseConv2dNative",xp="DepthwiseConv2dNativeBackpropFilter",yp="DepthwiseConv2dNativeBackpropInput",bp="Diag",Rl="Dilation2D",Kd="Dilation2DBackpropInput",jd="Dilation2DBackpropFilter",Jo="RealDiv",wp="Einsum",Qo="Elu",Cp="EluGrad",wa="Erf",Ca="Equal",ts="Exp",pi="ExpandDims",Ia="Expm1",Ip="FFT",Fl="Fill",va="FlipLeftRight",es="Floor",rs="FloorDiv",ns="FusedBatchNorm",mi="GatherV2",Sa="GatherNd",Na="Greater",os="GreaterEqual",po="Identity",vp="IFFT",Sp="Imag",Ta="IsFinite",ka="IsInf",ss="IsNan",is="LeakyRelu",Ea="Less",_a="LessEqual",Np="LinSpace",as="Log",Aa="Log1p",$a="LogicalAnd",Da="LogicalNot",Ra="LogicalOr",m1="LogicalXor",f1="LogSoftmax",Nlt="LowerBound",Ol="LRN",Tp="LRNGrad",ls="Max",us="Maximum",cs="MaxPool",kp="MaxPoolGrad",Pl="MaxPool3D",Ep="MaxPool3DGrad",_p="MaxPoolWithArgmax",ps="Mean",ms="Min",fs="Minimum",ds="MirrorPad",Fa="Mod",Ap="Multinomial",hs="Multiply",fi="Neg",Oa="NotEqual",Pa="NonMaxSuppressionV3",La="NonMaxSuppressionV4",Ma="NonMaxSuppressionV5",di="OnesLike",gs="OneHot",hi="Pack",xs="PadV2",Tlt="Pool",ys="Pow",bs="Prelu",ws="Prod",$p="RaggedGather",Dp="RaggedRange",Rp="RaggedTensorToTensor",Ll="Range",Fp="Real",Cs="Reciprocal",Is="Relu",gi="Reshape",vs="ResizeNearestNeighbor",Op="ResizeNearestNeighborGrad",Ss="ResizeBilinear",Pp="ResizeBilinearGrad",Ns="Relu6",Ts="Reverse",ks="Round",Es="Rsqrt",za="ScatterNd",Lp="SearchSorted",xi="Select",Ba="Selu",yi="Slice",_s="Sin",Va="Sinh",Ga="Sign",As="Sigmoid",Wa="Softplus",$s="Sqrt",Ds="Sum",bi="SpaceToBatchND",wi="SplitV",Rs="Softmax",Ml="SparseFillEmptyRows",Ua="SparseReshape",zl="SparseSegmentMean",Bl="SparseSegmentSum",Mp="SparseToDense",Fs="SquaredDifference",Vl="Square",Ha="StridedSlice",Gl="StringNGrams",Wl="StringSplit",Ul="StringToHashBucketFast",Os="Sub",Ps="Tan",Ls="Tanh",Qn="Tile",qa="TopK",Ka="Transform",to="Transpose",zp="Unique",Ci="Unpack",Hl="UnsortedSegmentSum",klt="UpperBound",Ii="ZerosLike",mo="Step",Xd="FromPixels",ja="RotateWithOffset",vi="_FusedMatMul",Si="FusedConv2D",Ni="FusedDepthwiseConv2D";function Ti(...r){M().getBool("IS_TEST")||M().getBool("PROD")||console.warn(...r)}function l4(...r){M().getBool("IS_TEST")||M().getBool("PROD")||console.log(...r)}var Bp=qd("kernelRegistry",()=>new Map),Yd=qd("gradRegistry",()=>new Map);function Zd(r,t){let e=f0(r,t);return Bp.get(e)}function m0(r){return Yd.get(r)}function Bg(r){let t=Bp.entries(),e=[];for(;;){let{done:n,value:o}=t.next();if(n)break;let[s,i]=o,[a]=s.split("_");a===r&&e.push(i)}return e}function Fu(r){let{kernelName:t,backendName:e}=r,n=f0(t,e);Bp.has(n)&&Ti(`The kernel '${t}' for backend '${e}' is already registered`),Bp.set(n,r)}function h1(r){let{kernelName:t}=r;Yd.has(t)&&M().getBool("DEBUG")&&Ti(`Overriding the gradient for '${t}'`),Yd.set(t,r)}function Dlt(r,t){let e=f0(r,t);if(!Bp.has(e))throw new Error(`The kernel '${r}' for backend '${t}' is not registered`);Bp.delete(e)}function Rlt(r){if(!Yd.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Yd.delete(r)}function Flt(r,t){Bg(r).forEach(n=>{let o=Object.assign({},n,{backendName:t});Fu(o)})}function f0(r,t){return`${t}_${r}`}var y={};Ut(y,{arraysEqual:()=>Fn,assert:()=>E,assertNonNegativeIntegerDimensions:()=>Le,assertNonNull:()=>Zn,assertShapesMatch:()=>Re,bytesFromStringArray:()=>l0,bytesPerElement:()=>op,checkConversionForErrors:()=>i0,clamp:()=>np,computeStrides:()=>ai,convertBackendValuesAndArrayBuffer:()=>QU,createScalarValue:()=>h4,createShuffledIndices:()=>XU,decodeString:()=>Up,distSquared:()=>HU,encodeString:()=>Kl,fetch:()=>x4,fingerPrint64:()=>d4,flatten:()=>zs,getArrayFromDType:()=>s0,getTypedArrayFromDType:()=>o0,hasEncodingLoss:()=>JU,hexToLong:()=>Jd,indexToLoc:()=>r4,inferDtype:()=>sp,inferFromImplicitShape:()=>ZU,isBoolean:()=>i1,isFunction:()=>ii,isInt:()=>aa,isNumber:()=>a1,isPromise:()=>Ru,isScalarShape:()=>qU,isString:()=>Bo,isTypedArray:()=>mr,isValidDtype:()=>a0,locToIndex:()=>e4,makeOnesTypedArray:()=>Ud,makeZerosNestedTypedArray:()=>t4,makeZerosTypedArray:()=>ap,nearestDivisor:()=>ip,nearestLargerEven:()=>GU,now:()=>zu,parseAxisParam:()=>pr,randUniform:()=>UU,repeatedTry:()=>YU,rightPad:()=>Du,shuffle:()=>s1,shuffleCombo:()=>VU,sizeFromShape:()=>Jt,sizeToSquarishShape:()=>jU,squeezeShape:()=>n0,sum:()=>WU,swap:()=>zg,tanh:()=>KU,toNestedArray:()=>$u,toTypedArray:()=>Wp});var x0=El(T1());var Mu=x0.default||x0;function Jd(r){return Mu.fromString(r,!0,16)}var E1=Jd("c3a5c85c97cb3127"),Lu=Jd("b492b66fbe98f273"),on=Jd("9ae16a3b2f90404f");function g0(r){return r.xor(r.shru(47))}function _1(r,t,e){let n=r.slice(t,t+e);return Mu.fromBytes(Array.from(n),!0,!0)}function Me(r,t){return _1(r,t,8)}function k1(r,t){return _1(r,t,4)}function _r(r,t){return t===0?r:r.shru(t).or(r.shl(64-t))}function ql(r,t,e=Jd("9ddfea08eb382d69")){let n=r.xor(t).mul(e);n=n.xor(n.shru(47));let o=t.xor(n).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function c4(r,t,e,n,o,s){o=o.add(r),s=_r(s.add(o).add(n),21);let i=o;return o=o.add(t),o=o.add(e),s=s.add(_r(o,44)),[o.add(n),s.add(i)]}function Gg(r,t,e,n){return c4(Me(r,t),Me(r,t+8),Me(r,t+16),Me(r,t+24),e,n)}function p4(r,t=r.length){if(t>=8){let e=on.add(t*2),n=Me(r,0).add(on),o=Me(r,t-8),s=_r(o,37).mul(e).add(n),i=_r(n,25).add(o).mul(e);return ql(s,i,e)}if(t>=4){let e=on.add(t*2),n=k1(r,0);return ql(n.shl(3).add(t),k1(r,t-4),e)}if(t>0){let e=r[0],n=r[t>>1],o=r[t-1],s=e+(n<<8),i=t+(o<<2);return g0(on.mul(s).xor(E1.mul(i))).mul(on)}return on}function m4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(Lu),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on);return ql(_r(n.add(o),43).add(_r(s,30)).add(i),n.add(_r(o.add(on),18)).add(s),e)}function f4(r,t=r.length){let e=on.add(t*2),n=Me(r,0).mul(on),o=Me(r,8),s=Me(r,t-8).mul(e),i=Me(r,t-16).mul(on),a=_r(n.add(o),43).add(_r(s,30)).add(i),u=ql(a,n.add(_r(o.add(on),18)).add(s),e),l=Me(r,16).mul(e),c=Me(r,24),p=a.add(Me(r,t-32)).mul(e),m=u.add(Me(r,t-24)).mul(e);return ql(_r(l.add(c),43).add(_r(p,30)).add(m),l.add(_r(c.add(n),18)).add(p),e)}function d4(r,t=r.length){let e=Mu.fromNumber(81,!0);if(t<=32)return t<=16?p4(r,t):m4(r,t);if(t<=64)return f4(r,t);let n=e,o=e.mul(Lu).add(113),s=g0(o.mul(on).add(113)).mul(on),i=[Mu.UZERO,Mu.UZERO],a=[Mu.UZERO,Mu.UZERO];n=n.mul(on).add(Me(r,0));let u=0,l=(t-1>>6)*64,c=l+(t-1&63)-63;do n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(Lu),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(Lu),n=n.xor(a[1]),o=o.add(i[0]).add(Me(r,u+40)),s=_r(s.add(a[0]),33).mul(Lu),i=Gg(r,u,i[1].mul(Lu),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],u+=64;while(u!==l);let p=Lu.add(s.and(255).shl(1));return u=c,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),n=_r(n.add(o).add(i[0]).add(Me(r,u+8)),37).mul(p),o=_r(o.add(i[1]).add(Me(r,u+48)),42).mul(p),n=n.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Me(r,u+40))),s=_r(s.add(a[0]),33).mul(p),i=Gg(r,u,i[1].mul(p),n.add(a[0])),a=Gg(r,u+32,s.add(a[1]),o.add(Me(r,u+16))),[s,n]=[n,s],ql(ql(i[0],a[0],p).add(g0(o).mul(E1)).add(s),ql(i[1],a[1],p).add(n),p)}function h4(r,t){return t==="string"?Kl(r):Wp([r],t)}function g4(r,t){return r instanceof Float32Array&&t==="float32"||r instanceof Int32Array&&t==="int32"||r instanceof Uint8Array&&t==="bool"}function Wp(r,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(r)&&(r=zs(r)),M().getBool("DEBUG")&&i0(r,t),g4(r,t))return r;if(t==null||t==="float32"||t==="complex64")return new Float32Array(r);if(t==="int32")return new Int32Array(r);if(t==="bool"){let e=new Uint8Array(r.length);for(let n=0;n{o=n()},i,a=zu();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(s);else{s();for(let l of o)l.dataSync();i=Promise.resolve({kernelMs:zu()-a})}if(M().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let l=0;l{y4(p,c.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():"")}}logKernelProfile(t){let{kernelName:e,outputs:n,timeMs:o,inputs:s,extraInfo:i}=t;n.forEach(a=>{Promise.all([a.data(),o,i]).then(u=>{this.logger.logKernelProfile(e,a,u[0],u[1],s,u[2])})})}};function y4(r,t,e){if(t!=="float32")return!1;for(let n=0;n0?h:""} `}}console.log(`%c${u} %c${a} %c${l}D ${p} %c${c} %c${m} %c${i}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function A1(r,t,e){let n={},o={};for(let u=0;un[h.id]=!0),f=!0,o[l.id]=!0;break}if(f)break}}let s={};s[e.id]=!0;let i={};for(let u=r.length-1;u>=0;u--){let l=r[u],c=l.inputs;for(let p=0;p=0;o--){let s=t[o],i=[];if(s.outputs.forEach(u=>{let l=r[u.id];l!=null?i.push(l):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let a=s.gradient(i);for(let u in s.inputs){if(!(u in a))throw new Error(`Cannot backprop through input ${u}. Available gradients found: ${Object.keys(a)}.`);let l=e(()=>a[u]());if(l.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${u} must have 'float32' dtype, but has '${l.dtype}'`);let c=s.inputs[u];if(!Fn(l.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${u}' has shape '${l.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=l;else{let p=r[c.id];r[c.id]=n(p,l),p.dispose()}}}}var D1=20,Qd=3,b0=7;function R1(r,t,e,n){let o=ai(t),s=b4(r,t,e,o),i=t.length,a=Ug(r,t,e,o,s),u=["Tensor"];return n&&(u.push(` dtype: ${e}`),u.push(` rank: ${i}`),u.push(` shape: [${t}]`),u.push(" values:")),u.push(a.map(l=>" "+l).join(` `)),u.join(` `)}function b4(r,t,e,n){let o=Jt(t),s=n[n.length-1],i=new Array(s).fill(0),a=t.length,u=e==="complex64"?eh(r):r;if(a>1)for(let l=0;lD1){let g=Qd*i,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((a-Qd)*i,a*i));return e==="complex64"&&(x=eh(x),b=eh(b)),["["+x.map((w,C)=>th(w,o[C],e)).join(", ")+", ..., "+b.map((w,C)=>th(w,o[a-Qd+C],e)).join(", ")+"]"]}return["["+(e==="complex64"?eh(r):Array.from(r)).map((g,x)=>th(g,o[x],e)).join(", ")+"]"]}let l=t.slice(1),c=n.slice(1),p=n[0]*i,m=[];if(a>D1){for(let h=0;h0?m[0]+f:"");for(let h=1;h`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||s0(e,this.size),this.strides=ai(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oUp(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),Bs().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Bs().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>Up(e))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();let t=await Bs().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Bs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return Hp.print(this,t)}clone(){return this.throwIfDisposed(),Hp.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Hp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Bs().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return qd("Tensor",()=>Ft)}O();var Xa=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Fn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Bs().disposeTensor(this),this.dataId=t.dataId,Bs().incRef(this,null)}dispose(){Bs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Xa,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var xo={};Ut(xo,{assertTypesMatch:()=>N0,getTensorsInContainer:()=>rh,isTensorInList:()=>I4,makeTypesMatch:()=>Ht});var w0;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(w0||(w0={}));var C0;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(C0||(C0={}));var I0;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(I0||(I0={}));var v0;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(v0||(v0={}));var S0;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(S0||(S0={}));var C4={float32:v0,int32:C0,bool:I0,complex64:S0};function lr(r,t){if(r==="string"||t==="string"){if(r==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${r} with ${t}`)}return C4[r][t]}function Bu(r){return lr(r,"int32")}function Ht(r,t){if(r.dtype===t.dtype)return[r,t];let e=lr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function N0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function I4(r,t){return t.some(e=>e.id===r.id)}function rh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!v4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function v4(r){return Array.isArray(r)||typeof r=="object"}function T0(r){return r.kernelName!=null}var Hg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},jl=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Hg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Bg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then=="function"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return jl.nextTensorId++}nextVariableId(){return jl.nextVariableId++}clone(t){let e=k.runKernel(po,{x:t}),n={x:t},o=i=>({x:()=>{let a="float32",u={x:i},l={dtype:a};return k.runKernel(uo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Zd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype==="complex64"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=T0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(T0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Zd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=T0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=m0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let s=t;n==="string"&&Bo(t[0])&&(s=t.map(u=>Kl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n==="string"){let u=this.state.tensorInfo.get(i),l=l0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||"float32";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Xa(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++;let n=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(n=t.size*op(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Xa||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!=="complex64"&&t.dtype!=="string"){let n=t.size*op(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=m0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ap(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=rh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));E(s instanceof Ft,()=>"The result y returned by f() must be a tensor.");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let a={};a[s.id]=n==null?S4(s.shape):n,$1(a,i,l=>this.tidy(l),N4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ii(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{E(e.every(a=>a instanceof Ft),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),E(ii(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),E(c.every(m=>m instanceof Ft),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=zu(),n=await this.backend.time(t);return n.wallMs=zu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Hg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};jl.nextTensorId=0;jl.nextVariableId=0;function S4(r){let t=Ud(Jt(r),"float32");return k.makeTensor(t,r,"float32")}function k0(){let r=p0();if(r._tfengine==null){let t=new Hd(r);r._tfengine=new jl(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=k0();function N4(r,t){let e={a:r,b:t};return k.runKernel(Jn,e)}var Xl={};Ut(Xl,{isBrowser:()=>_0,isMobile:()=>E4,mockIsMobile:()=>k4});function T4(){return typeof navigator!="undefined"&&navigator!=null}var E0;function k4(r){E0=r}function E4(r){if(E0!==void 0)return E0;if(r||T4()){if(r||(r=navigator),r.product==="ReactNative")return!0;let t=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function _0(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var eo=M();eo.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});eo.registerFlag("IS_BROWSER",()=>_0());eo.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");eo.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));eo.registerFlag("PROD",()=>!1);eo.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>eo.getBool("DEBUG"));eo.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);eo.registerFlag("IS_TEST",()=>!1);eo.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);eo.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);eo.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);eo.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Gr(r,t){let e=r;if(mr(r))return t==="string"?[]:[r.length];if(typeof r=="object"){if("texture"in r){let s=r.channels||"RGBA";return[r.height,r.width*s.length]}else if("buffer"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(t==null?4:op(t))]}if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(e)||mr(e)&&t!=="string";)o.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&B1(r,o,[]),o}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!mr(r)){E(t.length===0,()=>`Element arr[${e.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join("][")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join("][")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!mr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let u=r==null?"null":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Gr(r,o);!mr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!=="string"?Wp(r,o):zs(r,[],!0);return k.makeTensor(a,s,o)}function Ya(r,t,e,n="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,i)=>v(s,`${t}[${i}]`,e,n))}var A0="__op";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+A0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Ru(i)&&console.error("Cannot return a Promise inside of tidy."),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,"name",{value:e,configurable:!0}),o}function _4(r,t){let e=v(r,"real","complex"),n=v(t,"imag","complex");Re(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(mp,o)}var In=T({complex_:_4});function sn(r,t,e,n){if(n==null)n=sp(r);else if(n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof r=="object"&&("texture"in r||"buffer"in r&&!(r.buffer instanceof ArrayBuffer))){if(n!=="float32"&&n!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return k.backend.createTensorFromGPUData(r,t||e,n)}if(!mr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Le(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!mr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!=="string"?Wp(r,n):zs(r,[],!0),k.makeTensor(r,t,n)}function or(r,t,e){let n=Gr(r,e);return sn(r,t,n,e)}var nh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var qg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+qg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var $0=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function V1(r){return $0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if($0)return Buffer.from(r).toString("base64");let t=new Uint8Array(r),e="";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function D0(r){let t="/";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function jg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function R0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!e)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function Kp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),R0(r,e,n)}function ki(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Xg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function $4(){let r=e=>{let n=e<<13,o=0;for(;(n&8388608)===0;)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function D4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function R4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function F4(){let r=$4(),t=D4(),e=R4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ie=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ie.instance==null&&(Ie.instance=new Ie),Ie.instance}static registerSaveRouter(t){Ie.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ie.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ie.getHandlers(t,"save")}static getLoadHandlers(t,e){return Ie.getHandlers(t,"load",e)}static getHandlers(t,e,n){let o=[];return(e==="load"?Ie.getInstance().loadRouters:Ie.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ie.registerSaveRouter(r),q1=r=>Ie.registerLoadRouter(r),K1=r=>Ie.getSaveHandlers(r),j1=(r,t)=>Ie.getLoadHandlers(r,t);var F0="tensorflowjs",O0=1,Vu="models_store",Yl="model_info_store";function X1(){if(!M().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function P0(r){let t=r.result;t.createObjectStore(Vu,{keyPath:"modelPath"}),t.createObjectStore(Yl,{keyPath:"modelPath"})}var Ei=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(F0,O0);s.onupgradeneeded=()=>P0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Vu,"readonly"),l=a.objectStore(Vu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=ki(e),u=i.transaction(Yl,"readwrite"),l=u.objectStore(Yl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Vu,"readwrite");let f=p.objectStore(Vu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(Yl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ei.URL_SCHEME="indexeddb://";var Y1=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ei.URL_SCHEME)?O4(r.slice(Ei.URL_SCHEME.length)):null;Ie.registerSaveRouter(Y1);Ie.registerLoadRouter(Y1);function O4(r){return new Ei(r)}function P4(r){return r.startsWith(Ei.URL_SCHEME)?r.slice(Ei.URL_SCHEME.length):r}var Yg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(F0,O0);n.onupgradeneeded=()=>P0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(Yl,"readonly"),a=s.objectStore(Yl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=P4(t),new Promise((e,n)=>{let o=this.indexedDB.open(F0,O0);o.onupgradeneeded=()=>P0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(Yl,"readwrite"),a=i.objectStore(Yl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Vu,"readwrite");let f=l.objectStore(Vu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Za="/",jp="tensorflowjs_models",Z1="info",L4="model_topology",M4="weight_specs",z4="weight_data",B4="model_metadata";function J1(r){return{info:[jp,r,Z1].join(Za),topology:[jp,r,L4].join(Za),weightSpecs:[jp,r,M4].join(Za),weightData:[jp,r,z4].join(Za),modelMetadata:[jp,r,B4].join(Za)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function V4(r){let t=r.split(Za);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Za)}function G4(r){return r.startsWith(_i.URL_SCHEME)?r.slice(_i.URL_SCHEME.length):r}var _i=class{constructor(t){if(!M().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=ki(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};_i.URL_SCHEME="localstorage://";var tE=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(_i.URL_SCHEME)?W4(r.slice(_i.URL_SCHEME.length)):null;Ie.registerSaveRouter(tE);Ie.registerLoadRouter(tE);function W4(r){return new _i(r)}var Zg=class{constructor(){E(M().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),E(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let t={},e=jp+Za,n=Za+Z1;for(let o=0;o"scheme must not be undefined or null."),t.endsWith(Xp)&&(t=t.slice(0,t.indexOf(Xp))),E(t.length>0,()=>"scheme must not be an empty string.");let n=Ar.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Ar.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Ar.getInstance().managers)}};function Jg(r){if(r.indexOf(Xp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Ar.getSchemes().join(",")}`);return{scheme:r.split(Xp)[0],path:r.split(Xp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ie.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ie.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Jg(r).scheme,u=Jg(r).path,l=a===Jg(r).scheme,c=await o.load();e&&l&&await Ar.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Ar.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Ar.getSchemes(),t={};for(let e of r){let n=await Ar.getManager(e).listModels();for(let o in n){let s=e+Xp+o;t[s]=n[o]}}return t}async function nE(r){let t=Jg(r);return Ar.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var L0=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window=="undefined"||!M().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array||t instanceof Uint8ClampedArray}};if(M().get("IS_BROWSER")){M().setPlatform("browser",new L0);try{Ar.registerManager(_i.URL_SCHEME,new Zg)}catch(r){}try{Ar.registerManager(Ei.URL_SCHEME,new Yg)}catch(r){}}var U4={importFetch:()=>iE()},M0;var z0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(M0==null&&(M0=U4.importFetch()),M0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)}isTypedArray(t){return this.util.types.isFloat32Array(t)||this.util.types.isInt32Array(t)||this.util.types.isUint8Array(t)||this.util.types.isUint8ClampedArray(t)}};M().get("IS_NODE")&&!M().get("IS_BROWSER")&&M().setPlatform("node",new z0);function bt(r,t="float32",e){return t=t||"float32",Le(r),new pe(r,t,e)}function H4(r,t){let e=v(r,"x","cast");if(!a0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&e.dtype!=="string"||t!=="string"&&e.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:e},o={dtype:t};return k.runKernel(uo,n,o)}var J=T({cast_:H4});function q4(r){let e={x:v(r,"x","clone","string_or_numeric")};return k.runKernel(po,e)}var an=T({clone_:q4});function Qg(r,t=!1){console.log(r.toString(t))}k0();var K4={buffer:bt,cast:J,clone:an,print:Qg};P1(K4);function Mct(){M().set("PROD",!0)}function zct(){M().set("DEBUG",!0)}function Bct(){M().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function B0(r){M().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}L1(B0);function Vct(){k.disposeVariables()}function Ln(){return k}function oh(){return k.memory()}function Gct(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function Nt(r){rh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Wct(r){return k.time(r)}function j4(r){return k.setBackend(r)}function Uct(){return k.ready()}function Hct(){return k.backendName}function qct(r){k.removeBackend(r)}function Kct(r){return k.findBackend(r)}function jct(r){return k.findBackendFactory(r)}function Yp(r,t,e=1){return k.registerBackend(r,t,e)}function lE(){return k.backend}function Xct(r,t){M().setPlatform(r,t)}function X4(r,t){let e=v(r,"a","add"),n=v(t,"b","add");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Jn,o)}var Y=T({add_:X4});function Y4(r,t){let e=v(r,"a","floorDiv"),n=v(t,"b","floorDiv");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(rs,o)}var Zp=T({floorDiv_:Y4});function Z4(r,t){let e=v(r,"a","div"),n=v(t,"b","div");if([e,n]=Ht(e,n),e.dtype==="int32"&&n.dtype==="int32")return Zp(e,n);let o={a:e,b:n},s={};return k.runKernel(Jo,o,s)}var ut=T({div_:Z4});function J4(r,t){let e=v(r,"a","mul"),n=v(t,"b","mul");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:J4});function Q4(r){let t=v(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return k.runKernel($l,e)}else{let e={x:t};return k.runKernel(li,e)}}var Ee=T({abs_:Q4});function tH(r){let e={x:v(r,"x","acos")};return k.runKernel(la,e)}var tx=T({acos_:tH});function eH(r){let e={x:v(r,"x","acosh")};return k.runKernel(ua,e)}var ex=T({acosh_:eH});function rH(r){E(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>v(o,`tensors${s}`,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!Fn(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return k.runKernel(Vo,n)}var uE=T({addN_:rH});function nH(r,t=null,e=!1){let o={x:v(r,"x","all","bool")},s={axis:t,keepDims:e};return k.runKernel(ca,o,s)}var Jp=T({all_:nH});function oH(r,t=null,e=!1){let o={x:v(r,"x","any","bool")},s={axis:t,keepDims:e};return k.runKernel(pa,o,s)}var Gu=T({any_:oH});function sH(r,t=0){let n={x:v(r,"x","argMax")},o={axis:t};return k.runKernel(Go,n,o)}var Ai=T({argMax_:sH});function iH(r,t=0){let n={x:v(r,"x","argMin")},o={axis:t};return k.runKernel(_l,n,o)}var rx=T({argMin_:iH});function aH(r){let e={x:v(r,"x","asin")};return k.runKernel(ma,e)}var nx=T({asin_:aH});function lH(r){let e={x:v(r,"x","asinh")};return k.runKernel(fa,e)}var ox=T({asinh_:lH});function uH(r){let e={x:v(r,"x","atan")};return k.runKernel(da,e)}var sx=T({atan_:uH});function cH(r,t){let e=v(r,"a","atan2"),n=v(t,"b","atan2");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(ga,o)}var ix=T({atan2_:cH});function pH(r){let e={x:v(r,"x","atanh")};return k.runKernel(ha,e)}var ax=T({atanh_:pH});function mH(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=pE(o);return Wu(r,a,e,s,n,null,null,u)}function G0(r,t,e,n,o,s,i="channelsLast"){let[a,u]=sh(t),l;if(i==="channelsLast")l=[a,u,r[3],r[3]];else if(i==="channelsFirst")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Wu(r,l,e,n,o,s,!1,i)}function fH(r,t,e,n,o,s,i="NDHWC"){let[a,u,l]=V0(t),c,p;if(i==="NDHWC")p="channelsLast",c=[a,u,l,r[4],r[4]];else if(i==="NCDHW")p="channelsFirst",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return cE(r,c,e,n,o,!1,p,s)}function Wu(r,t,e,n,o,s,i=!1,a="channelsLast"){let[u,l,c,p]=[-1,-1,-1,-1];if(a==="channelsLast")[u,l,c,p]=r;else if(a==="channelsFirst")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=sh(e),[x,b]=sh(n),w=Qp(m,x),C=Qp(f,b),{padInfo:N,outHeight:_,outWidth:A}=gH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a==="channelsFirst"?F=[u,$,_,A]:a==="channelsLast"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function cE(r,t,e,n,o,s=!1,i="channelsLast",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[u,l,c,p,m]=r;else if(i==="channelsFirst")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=V0(e),[C,N,_]=V0(n),A=Qp(f,C),$=Qp(d,N),F=Qp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=xH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i==="channelsFirst"?H=[u,q,V,G,W]:i==="channelsLast"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function dH(r,t,e,n,o){n==null&&(n=W0(r,t,e));let s=r[0],i=r[1],a=ih((s-t+2*n)/e+1,o),u=ih((i-t+2*n)/e+1,o);return[a,u]}function hH(r,t,e,n,o,s){o==null&&(o=W0(r,t[0],n[0]));let i=[0,0,0,e];for(let a=0;a<3;a++)r[a]+2*o>=t[a]&&(i[a]=ih((r[a]-t[a]+2*o)/n[a]+1,s));return i}function W0(r,t,e,n=1){let o=Qp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function sh(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function V0(r){return typeof r=="number"?[r,r,r]:r}function Qp(r,t){return t<=1?r:r+(r-1)*(t-1)}function gH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r=="number"){l={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let f=dH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r==="same"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r=="object"){let m=u==="channelsLast"?r[1][0]:r[2][0],f=u==="channelsLast"?r[1][1]:r[2][1],d=u==="channelsLast"?r[2][0]:r[3][0],h=u==="channelsLast"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?"VALID":"EXPLICIT"},c=ih((t-s+m+f)/n+1,a),p=ih((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function xH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(r==="valid"&&(r=0),typeof r=="number"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=hH([t,e,n,1],[a,u,l],1,[o,s,i],r,c);m=g[0],f=g[1],d=g[2]}else if(r==="same"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:"SAME"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function ih(r,t){if(!t)return Math.trunc(r);switch(t){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function ro(r){let[t,e,n]=sh(r);return t===1&&e===1&&n===1}function $r(r,t){return ro(r)||ro(t)}function $i(r){return sh(r).every(t=>t>0)}function pE(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function ve(r,t,e){if(e!=null){if(typeof t=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t=="number")E(aa(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(o=>{E(aa(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function yH(r,t){let n={x:v(r,"x","reshape","string_or_numeric")},o={shape:t};return k.runKernel(gi,n,o)}var R=T({reshape_:yH});function bH(r,t,e,n,o){let s=v(r,"x","avgPool","float32"),i=1;E($r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),ve("avgPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Wo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Zl=T({avgPool_:bH});function wH(r,t,e,n,o,s="NDHWC"){let i=v(r,"x","avgPool3d","float32"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),E(typeof e=="number"&&e>0||Array.isArray(e)&&e[0]>0&&e[1]>0&&e[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${e}'`),ve("avgPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Al,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var lx=T({avgPool3d_:wH});function CH(r,t=0){E(r.length>=1,()=>"Pass at least one tensor to concat");let e=Ya(r,"tensors","concat","string_or_numeric");if(e[0].dtype==="complex64"&&e.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor +`;return m[m.length-1]=" "+m[m.length-1]+"]"+(s?"":d),m}function eh(r){let t=[];for(let e=0;e`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||s0(e,this.size),this.strides=ai(t)}set(t,...e){e.length===0&&(e=[0]),E(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;oUp(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),Bs().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Bs().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>Up(e))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();let t=await Bs().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Bs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return Hp.print(this,t)}clone(){return this.throwIfDisposed(),Hp.clone(this)}toString(t=!1){let e=this.dataSync();return R1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Hp.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Bs().makeVariable(this,t,e,n)}};Object.defineProperty(Ft,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function O(){return qd("Tensor",()=>Ft)}O();var Xa=class extends Ft{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Fn(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);Bs().disposeTensor(this),this.dataId=t.dataId,Bs().incRef(this,null)}dispose(){Bs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Xa,Symbol.hasInstance,{value:r=>r instanceof Ft&&r.assign!=null&&r.assign instanceof Function});var xo={};Ut(xo,{assertTypesMatch:()=>N0,getTensorsInContainer:()=>rh,isTensorInList:()=>I4,makeTypesMatch:()=>Ht});var w0;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(w0||(w0={}));var C0;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(C0||(C0={}));var I0;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(I0||(I0={}));var v0;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(v0||(v0={}));var S0;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(S0||(S0={}));var C4={float32:v0,int32:C0,bool:I0,complex64:S0};function lr(r,t){if(r==="string"||t==="string"){if(r==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${r} with ${t}`)}return C4[r][t]}function Bu(r){return lr(r,"int32")}function Ht(r,t){if(r.dtype===t.dtype)return[r,t];let e=lr(r.dtype,t.dtype);return[r.cast(e),t.cast(e)]}function N0(r,t){E(r.dtype===t.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${t.dtype}) input must match`)}function I4(r,t){return t.some(e=>e.id===r.id)}function rh(r){let t=[];return M1(r,t,new Set),t}function M1(r,t,e){if(r==null)return;if(r instanceof Ft){t.push(r);return}if(!v4(r))return;let n=r;for(let o in n){let s=n[o];e.has(s)||(e.add(s),M1(s,t,e))}}function v4(r){return Array.isArray(r)||typeof r=="object"}function T0(r){return r.kernelName!=null}var Hg=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(let t in this.registeredVariables)this.registeredVariables[t].dispose()}},jl=class{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Hg}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Bg(t).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[t])})}initializeBackend(t){let e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{let n=e.factory();if(n&&!(n instanceof zo)&&typeof n.then=="function"){let o=++this.pendingBackendInitId,s=n.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){let t=this.getSortedBackends();for(let e=0;ethis.startScope(n),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(t,e,n){t();try{let o=n();return e(),o}catch(o){throw e(),o}}nextTensorId(){return jl.nextTensorId++}nextVariableId(){return jl.nextVariableId++}clone(t){let e=k.runKernel(po,{x:t}),n={x:t},o=i=>({x:()=>{let a="float32",u={x:i},l={dtype:a};return k.runKernel(uo,u,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[e],o,s,{}),e}runKernel(t,e,n){if(this.backendName==null&&this.backend,!(Zd(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,n){let o=this.backend.numDataIds(),s=0;n.forEach(u=>{s+=u.dtype==="complex64"?3:1});let i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-s-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,n=[],o=this.isTapeOn(),s=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let u,l=T0(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(T0(t)){let{kernelName:d,inputs:h,attrs:g}=t;this.backendName==null&&this.backend;let x=Zd(d,this.backendName);E(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),a=()=>{let b=this.backend.numDataIds();u=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let C=w.map(N=>N.rank!=null?N:this.makeTensorFromTensorInfo(N));if(o){let N=this.getTensorsForGradient(d,h,C);n=this.saveTensorsForBackwardMode(N)}return C}}else{let{forwardFunc:d}=t,h=g=>{o&&(n=g.map(x=>this.keep(this.clone(x))))};a=()=>{let g=this.backend.numDataIds();u=this.tidy(()=>d(this.backend,h));let x=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,x),x}}let{inputs:c,attrs:p}=t,m=T0(t)?null:t.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?e=a():(f=this.profiler.profileKernel(l,c,()=>a()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),e=f.outputs)}),o&&this.addTapeNode(l,c,e,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:e.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(u)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(t,e,n){let o=m0(t);if(o!=null){let s=o.inputsToSave||[],i=o.outputsToSave||[],a;o.saveAllInputs?(E(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(e).map(l=>e[l])):a=s.map(l=>e[l]);let u=n.filter((l,c)=>i[c]);return a.concat(u)}return[]}makeTensor(t,e,n,o){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let s=t;n==="string"&&Bo(t[0])&&(s=t.map(u=>Kl(u)));let i=o.write(s,e,n),a=new Ft(e,n,i,this.nextTensorId());if(this.trackTensor(a,o),n==="string"){let u=this.state.tensorInfo.get(i),l=l0(s);this.state.numBytes+=l-u.bytes,u.bytes=l}return a}makeTensorFromDataId(t,e,n,o){n=n||"float32";let s={dataId:t,shape:e,dtype:n};return this.makeTensorFromTensorInfo(s,o)}makeTensorFromTensorInfo(t,e){let{dataId:n,shape:o,dtype:s}=t,i=new Ft(o,s,n,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));let s=new Xa(t,e,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(t,e){this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++;let n=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(n=t.size*op(t.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n})),t instanceof Xa||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;let e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!=="complex64"&&t.dtype!=="string"){let n=t.size*op(t.dtype);this.state.numBytes-=n}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(let t in this.state.registeredVariables){let e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){let t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;let e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,n,o,s,i){let a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:s},u=m0(t);u!=null&&(o=u.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((c,p)=>{if(c==null){let m=n[p],f=ap(m.size,m.dtype);return this.makeTensor(f,m.shape,m.dtype)}return c}),o(l.length>1?l:l[0],s,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){let e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){let e=rh(t),n=new Set(e.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(t,e,n,o=!1){if(E(e.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));E(s instanceof Ft,()=>"The result y returned by f() must be a tensor.");let i=A1(this.state.activeTape,e,s);if(!o&&i.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let a={};a[s.id]=n==null?S4(s.shape):n,$1(a,i,l=>this.tidy(l),N4);let u=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let c of l.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:u}})}customGrad(t){return E(ii(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{E(e.every(a=>a instanceof Ft),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let n,o={};e.forEach((a,u)=>{o[u]=a});let s=(a,u)=>(n=t(...e,u),E(n.value instanceof Ft,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),E(ii(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),i=(a,u)=>{let l=n.gradFunc(a,u),c=Array.isArray(l)?l:[l];E(c.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),E(c.every(m=>m instanceof Ft),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return c.forEach((m,f)=>{p[f]=()=>m}),p};return this.runKernelFunc({forwardFunc:s,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){let e=zu(),n=await this.backend.time(t);return n.wallMs=zu()-e,n}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Hg;for(let t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};jl.nextTensorId=0;jl.nextVariableId=0;function S4(r){let t=Ud(Jt(r),"float32");return k.makeTensor(t,r,"float32")}function k0(){let r=p0();if(r._tfengine==null){let t=new Hd(r);r._tfengine=new jl(t)}return c1(r._tfengine.ENV),O1(()=>r._tfengine),r._tfengine}var k=k0();function N4(r,t){let e={a:r,b:t};return k.runKernel(Jn,e)}var Xl={};Ut(Xl,{isBrowser:()=>_0,isMobile:()=>E4,mockIsMobile:()=>k4});function T4(){return typeof navigator!="undefined"&&navigator!=null}var E0;function k4(r){E0=r}function E4(r){if(E0!==void 0)return E0;if(r||T4()){if(r||(r=navigator),r.product==="ReactNative")return!0;let t=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let e=r;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function _0(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var eo=M();eo.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});eo.registerFlag("IS_BROWSER",()=>_0());eo.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");eo.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));eo.registerFlag("PROD",()=>!1);eo.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>eo.getBool("DEBUG"));eo.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);eo.registerFlag("IS_TEST",()=>!1);eo.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);eo.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);eo.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);eo.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Gr(r,t){let e=r;if(mr(r))return t==="string"?[]:[r.length];if(typeof r=="object"){if("texture"in r){let s=r.channels||"RGBA";return[r.height,r.width*s.length]}else if("buffer"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(t==null?4:op(t))]}if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(e)||mr(e)&&t!=="string";)o.push(e.length),e=e[0];return Array.isArray(r)&&M().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&B1(r,o,[]),o}function B1(r,t,e){if(e=e||[],!Array.isArray(r)&&!mr(r)){E(t.length===0,()=>`Element arr[${e.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}E(t.length>0,()=>`Element arr[${e.join("][")}] should be a primitive, but is an array of ${r.length} elements`),E(r.length===t[0],()=>`Element arr[${e.join("][")}] should have ${t[0]} elements, but has ${r.length} elements`);let n=t.slice(1);for(let o=0;o=0&&(o=n),z1(n,o,t,e),r==null||!mr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let u=r==null?"null":r.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${u}'`)}let s=Gr(r,o);!mr(r)&&!Array.isArray(r)&&(r=[r]);let a=o!=="string"?Wp(r,o):zs(r,[],!0);return k.makeTensor(a,s,o)}function Ya(r,t,e,n="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${t} passed to ${e} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,i)=>v(s,`${t}[${i}]`,e,n))}var A0="__op";function T(r){let t=Object.keys(r);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0],n=r[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+A0;let o=(...s)=>{k.startScope(e);try{let i=n(...s);return Ru(i)&&console.error("Cannot return a Promise inside of tidy."),k.endScope(i),i}catch(i){throw k.endScope(null),i}};return Object.defineProperty(o,"name",{value:e,configurable:!0}),o}function _4(r,t){let e=v(r,"real","complex"),n=v(t,"imag","complex");Re(e.shape,n.shape,`real and imag shapes, ${e.shape} and ${n.shape}, must match in call to tf.complex().`);let o={real:e,imag:n};return k.runKernel(mp,o)}var In=T({complex_:_4});function sn(r,t,e,n){if(n==null)n=sp(r);else if(n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof r=="object"&&("texture"in r||"buffer"in r&&!(r.buffer instanceof ArrayBuffer))){if(n!=="float32"&&n!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return k.backend.createTensorFromGPUData(r,t||e,n)}if(!mr(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Le(t);let o=Jt(t),s=Jt(e);E(o===s,()=>`Based on the provided shape, [${t}], the tensor should have ${o} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${e}) does not match the provided shape (${t}). `)}}return!mr(r)&&!Array.isArray(r)&&(r=[r]),t=t||e,r=n!=="string"?Wp(r,n):zs(r,[],!0),k.makeTensor(r,t,n)}function or(r,t,e){let n=Gr(r,e);return sn(r,t,n,e)}var nh={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var qg=4;async function G1(r,t){let e=[],n=[],o=Array.isArray(r)?r.map(i=>i.name):Object.keys(r);for(let i=0;i{let m=await u.bytes(),f=m.reduce((g,x)=>g+x.length,0)+qg*m.length,d=new Uint8Array(f),h=0;for(let g=0;g{if(t+=s.byteLength,e.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),o=0;return e.forEach(s=>{n.set(new Uint8Array(s.buffer),o),o+=s.byteLength}),n.buffer}var $0=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function V1(r){return $0?Buffer.byteLength(r):new Blob([r]).size}function W1(r){if($0)return Buffer.from(r).toString("base64");let t=new Uint8Array(r),e="";for(let n=0,o=t.length;n{t+=o.byteLength});let e=new Uint8Array(t),n=0;return r.forEach(o=>{e.set(new Uint8Array(o),n),n+=o.byteLength}),e.buffer}function D0(r){let t="/";for(r=r.trim();r.endsWith(t);)r=r.slice(0,r.length-1);let e=r.split(t);return e[e.length-1]}function jg(r,t){let e={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:t};return r.signature!=null&&(e.signature=r.signature),r.userDefinedMetadata!=null&&(e.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(e.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(e.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(e.trainingConfig=r.trainingConfig),e}function R0(r,t,e){let n={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(n.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!e)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=e}return r.signature!=null&&(n.signature=r.signature),r.userDefinedMetadata!=null&&(n.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(n.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(n.initializerSignature=r.initializerSignature),n}async function Kp(r,t){let e,n;return r.weightsManifest!=null&&([e,n]=await t(r.weightsManifest)),R0(r,e,n)}function ki(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:V1(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:V1(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function Xg(r){let t=[];for(let e of r)t.push(...e.weights);return t}function $4(){let r=e=>{let n=e<<13,o=0;for(;!(n&8388608);)o-=8388608,n<<=1;return n&=-8388609,o+=947912704,n|o},t=new Uint32Array(2048);t[0]=0;for(let e=1;e<1024;e++)t[e]=r(e);for(let e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function D4(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let t=1;t<31;t++)r[t]=t<<23;for(let t=33;t<63;t++)r[t]=2147483648+(t-32<<23);return r}function R4(){let r=new Uint32Array(64);for(let t=0;t<64;t++)r[t]=1024;return r[0]=r[32]=0,r}function F4(){let r=$4(),t=D4(),e=R4();return n=>{let o=new ArrayBuffer(4*n.length),s=new Uint32Array(o);for(let i=0;i>10]+(a&1023)]+t[a>>10];s[i]=u}return new Float32Array(o)}}var Ie=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Ie.instance==null&&(Ie.instance=new Ie),Ie.instance}static registerSaveRouter(t){Ie.getInstance().saveRouters.push(t)}static registerLoadRouter(t){Ie.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return Ie.getHandlers(t,"save")}static getLoadHandlers(t,e){return Ie.getHandlers(t,"load",e)}static getHandlers(t,e,n){let o=[];return(e==="load"?Ie.getInstance().loadRouters:Ie.getInstance().saveRouters).forEach(i=>{let a=i(t,n);a!==null&&o.push(a)}),o}},H1=r=>Ie.registerSaveRouter(r),q1=r=>Ie.registerLoadRouter(r),K1=r=>Ie.getSaveHandlers(r),j1=(r,t)=>Ie.getLoadHandlers(r,t);var F0="tensorflowjs",O0=1,Vu="models_store",Yl="model_info_store";function X1(){if(!M().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,t=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function P0(r){let t=r.result;t.createObjectStore(Vu,{keyPath:"modelPath"}),t.createObjectStore(Yl,{keyPath:"modelPath"})}var Ei=class{constructor(t){if(this.indexedDB=X1(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((n,o)=>{let s=this.indexedDB.open(F0,O0);s.onupgradeneeded=()=>P0(s),s.onsuccess=()=>{let i=s.result;if(e==null){let a=i.transaction(Vu,"readonly"),l=a.objectStore(Vu).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));n(l.result.modelArtifacts)},l.onerror=c=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{let a=ki(e),u=i.transaction(Yl,"readwrite"),l=u.objectStore(Yl),c=l.put({modelPath:this.modelPath,modelArtifactsInfo:a}),p;c.onsuccess=()=>{p=i.transaction(Vu,"readwrite");let f=p.objectStore(Vu).put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a});f.onsuccess=()=>n({modelArtifactsInfo:a}),f.onerror=d=>{l=u.objectStore(Yl);let h=l.delete(this.modelPath);h.onsuccess=()=>(i.close(),o(f.error)),h.onerror=g=>(i.close(),o(f.error))}},c.onerror=m=>(i.close(),o(c.error)),u.oncomplete=()=>{p==null?i.close():p.oncomplete=()=>i.close()}}},s.onerror=i=>o(s.error)})}};Ei.URL_SCHEME="indexeddb://";var Y1=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ei.URL_SCHEME)?O4(r.slice(Ei.URL_SCHEME.length)):null;Ie.registerSaveRouter(Y1);Ie.registerLoadRouter(Y1);function O4(r){return new Ei(r)}function P4(r){return r.startsWith(Ei.URL_SCHEME)?r.slice(Ei.URL_SCHEME.length):r}var Yg=class{constructor(){this.indexedDB=X1()}async listModels(){return new Promise((t,e)=>{let n=this.indexedDB.open(F0,O0);n.onupgradeneeded=()=>P0(n),n.onsuccess=()=>{let o=n.result,s=o.transaction(Yl,"readonly"),a=s.objectStore(Yl).getAll();a.onsuccess=()=>{let u={};for(let l of a.result)u[l.modelPath]=l.modelArtifactsInfo;t(u)},a.onerror=u=>(o.close(),e(a.error)),s.oncomplete=()=>o.close()},n.onerror=o=>e(n.error)})}async removeModel(t){return t=P4(t),new Promise((e,n)=>{let o=this.indexedDB.open(F0,O0);o.onupgradeneeded=()=>P0(o),o.onsuccess=()=>{let s=o.result,i=s.transaction(Yl,"readwrite"),a=i.objectStore(Yl),u=a.get(t),l;u.onsuccess=()=>{if(u.result==null)return s.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{let c=a.delete(t),p=()=>{l=s.transaction(Vu,"readwrite");let f=l.objectStore(Vu).delete(t);f.onsuccess=()=>e(u.result.modelArtifactsInfo),f.onerror=d=>n(u.error)};c.onsuccess=p,c.onerror=m=>(p(),s.close(),n(u.error))}},u.onerror=c=>(s.close(),n(u.error)),i.oncomplete=()=>{l==null?s.close():l.oncomplete=()=>s.close()}},o.onerror=s=>n(o.error)})}};var Za="/",jp="tensorflowjs_models",Z1="info",L4="model_topology",M4="weight_specs",z4="weight_data",B4="model_metadata";function J1(r){return{info:[jp,r,Z1].join(Za),topology:[jp,r,L4].join(Za),weightSpecs:[jp,r,M4].join(Za),weightData:[jp,r,z4].join(Za),modelMetadata:[jp,r,B4].join(Za)}}function Q1(r){for(let t of Object.values(r))window.localStorage.removeItem(t)}function V4(r){let t=r.split(Za);if(t.length<3)throw new Error(`Invalid key format: ${r}`);return t.slice(1,t.length-1).join(Za)}function G4(r){return r.startsWith(_i.URL_SCHEME)?r.slice(_i.URL_SCHEME.length):r}var _i=class{constructor(t){if(!M().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=J1(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),o=ki(t);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,W1(t.weightData));let s={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:o}}catch(s){throw Q1(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, weightSpecsBytes=${o.weightSpecsBytes}, weightDataBytes=${o.weightDataBytes}.`)}}}async load(){let t=JSON.parse(this.LS.getItem(this.keys.info));if(t==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(n==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;let o=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(o==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=o;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let a=JSON.parse(s);e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy,a.signature!=null&&(e.signature=a.signature),a.userDefinedMetadata!=null&&(e.userDefinedMetadata=a.userDefinedMetadata),a.modelInitializer!=null&&(e.modelInitializer=a.modelInitializer),a.initializerSignature!=null&&(e.initializerSignature=a.initializerSignature),a.trainingConfig!=null&&(e.trainingConfig=a.trainingConfig)}let i=this.LS.getItem(this.keys.weightData);if(i==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=U1(i),e}};_i.URL_SCHEME="localstorage://";var tE=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(_i.URL_SCHEME)?W4(r.slice(_i.URL_SCHEME.length)):null;Ie.registerSaveRouter(tE);Ie.registerLoadRouter(tE);function W4(r){return new _i(r)}var Zg=class{constructor(){E(M().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),E(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let t={},e=jp+Za,n=Za+Z1;for(let o=0;o"scheme must not be undefined or null."),t.endsWith(Xp)&&(t=t.slice(0,t.indexOf(Xp))),E(t.length>0,()=>"scheme must not be an empty string.");let n=Ar.getInstance();E(n.managers[t]==null,()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){let e=Ar.getInstance().managers[t];if(e==null)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(Ar.getInstance().managers)}};function Jg(r){if(r.indexOf(Xp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Ar.getSchemes().join(",")}`);return{scheme:r.split(Xp)[0],path:r.split(Xp)[1]}}async function eE(r,t,e=!1){E(r!==t,()=>`Old path and new path are the same: '${r}'`);let n=Ie.getLoadHandlers(r);E(n.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),E(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${r}.`);let o=n[0],s=Ie.getSaveHandlers(t);E(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),E(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],a=Jg(r).scheme,u=Jg(r).path,l=a===Jg(r).scheme,c=await o.load();e&&l&&await Ar.getManager(a).removeModel(u);let p=await i.save(c);return e&&!l&&await Ar.getManager(a).removeModel(u),p.modelArtifactsInfo}async function rE(){let r=Ar.getSchemes(),t={};for(let e of r){let n=await Ar.getManager(e).listModels();for(let o in n){let s=e+Xp+o;t[s]=n[o]}}return t}async function nE(r){let t=Jg(r);return Ar.getManager(t.scheme).removeModel(t.path)}async function oE(r,t){return eE(r,t,!1)}async function sE(r,t){return eE(r,t,!0)}var L0=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window=="undefined"||!M().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",n=>{if(n.source===window&&n.data.name===this.messageName){n.stopPropagation();let o=this.functionRefs[n.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array||t instanceof Uint8ClampedArray}};if(M().get("IS_BROWSER")){M().setPlatform("browser",new L0);try{Ar.registerManager(_i.URL_SCHEME,new Zg)}catch(r){}try{Ar.registerManager(Ei.URL_SCHEME,new Yg)}catch(r){}}var U4={importFetch:()=>iE()},M0;var z0=class{constructor(){this.util=aE(),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return M().global.fetch!=null?M().global.fetch(t,e):(M0==null&&(M0=U4.importFetch()),M0(t,e))}now(){let t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)}isTypedArray(t){return this.util.types.isFloat32Array(t)||this.util.types.isInt32Array(t)||this.util.types.isUint8Array(t)||this.util.types.isUint8ClampedArray(t)}};M().get("IS_NODE")&&!M().get("IS_BROWSER")&&M().setPlatform("node",new z0);function bt(r,t="float32",e){return t=t||"float32",Le(r),new pe(r,t,e)}function H4(r,t){let e=v(r,"x","cast");if(!a0(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&e.dtype!=="string"||t!=="string"&&e.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:e},o={dtype:t};return k.runKernel(uo,n,o)}var J=T({cast_:H4});function q4(r){let e={x:v(r,"x","clone","string_or_numeric")};return k.runKernel(po,e)}var an=T({clone_:q4});function Qg(r,t=!1){console.log(r.toString(t))}k0();var K4={buffer:bt,cast:J,clone:an,print:Qg};P1(K4);function Mct(){M().set("PROD",!0)}function zct(){M().set("DEBUG",!0)}function Bct(){M().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function B0(r){M().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}L1(B0);function Vct(){k.disposeVariables()}function Ln(){return k}function oh(){return k.memory()}function Gct(r){return k.profile(r)}function B(r,t){return k.tidy(r,t)}function Nt(r){rh(r).forEach(e=>e.dispose())}function De(r){return k.keep(r)}function Wct(r){return k.time(r)}function j4(r){return k.setBackend(r)}function Uct(){return k.ready()}function Hct(){return k.backendName}function qct(r){k.removeBackend(r)}function Kct(r){return k.findBackend(r)}function jct(r){return k.findBackendFactory(r)}function Yp(r,t,e=1){return k.registerBackend(r,t,e)}function lE(){return k.backend}function Xct(r,t){M().setPlatform(r,t)}function X4(r,t){let e=v(r,"a","add"),n=v(t,"b","add");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(Jn,o)}var Y=T({add_:X4});function Y4(r,t){let e=v(r,"a","floorDiv"),n=v(t,"b","floorDiv");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(rs,o)}var Zp=T({floorDiv_:Y4});function Z4(r,t){let e=v(r,"a","div"),n=v(t,"b","div");if([e,n]=Ht(e,n),e.dtype==="int32"&&n.dtype==="int32")return Zp(e,n);let o={a:e,b:n},s={};return k.runKernel(Jo,o,s)}var ut=T({div_:Z4});function J4(r,t){let e=v(r,"a","mul"),n=v(t,"b","mul");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(hs,o)}var D=T({mul_:J4});function Q4(r){let t=v(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return k.runKernel($l,e)}else{let e={x:t};return k.runKernel(li,e)}}var Ee=T({abs_:Q4});function tH(r){let e={x:v(r,"x","acos")};return k.runKernel(la,e)}var tx=T({acos_:tH});function eH(r){let e={x:v(r,"x","acosh")};return k.runKernel(ua,e)}var ex=T({acosh_:eH});function rH(r){E(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),E(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>v(o,`tensors${s}`,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!Fn(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return k.runKernel(Vo,n)}var uE=T({addN_:rH});function nH(r,t=null,e=!1){let o={x:v(r,"x","all","bool")},s={axis:t,keepDims:e};return k.runKernel(ca,o,s)}var Jp=T({all_:nH});function oH(r,t=null,e=!1){let o={x:v(r,"x","any","bool")},s={axis:t,keepDims:e};return k.runKernel(pa,o,s)}var Gu=T({any_:oH});function sH(r,t=0){let n={x:v(r,"x","argMax")},o={axis:t};return k.runKernel(Go,n,o)}var Ai=T({argMax_:sH});function iH(r,t=0){let n={x:v(r,"x","argMin")},o={axis:t};return k.runKernel(_l,n,o)}var rx=T({argMin_:iH});function aH(r){let e={x:v(r,"x","asin")};return k.runKernel(ma,e)}var nx=T({asin_:aH});function lH(r){let e={x:v(r,"x","asinh")};return k.runKernel(fa,e)}var ox=T({asinh_:lH});function uH(r){let e={x:v(r,"x","atan")};return k.runKernel(da,e)}var sx=T({atan_:uH});function cH(r,t){let e=v(r,"a","atan2"),n=v(t,"b","atan2");[e,n]=Ht(e,n);let o={a:e,b:n};return k.runKernel(ga,o)}var ix=T({atan2_:cH});function pH(r){let e={x:v(r,"x","atanh")};return k.runKernel(ha,e)}var ax=T({atanh_:pH});function mH(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=pE(o);return Wu(r,a,e,s,n,null,null,u)}function G0(r,t,e,n,o,s,i="channelsLast"){let[a,u]=sh(t),l;if(i==="channelsLast")l=[a,u,r[3],r[3]];else if(i==="channelsFirst")l=[a,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return Wu(r,l,e,n,o,s,!1,i)}function fH(r,t,e,n,o,s,i="NDHWC"){let[a,u,l]=V0(t),c,p;if(i==="NDHWC")p="channelsLast",c=[a,u,l,r[4],r[4]];else if(i==="NCDHW")p="channelsFirst",c=[a,u,l,r[1],r[1]];else throw new Error(`Unknown dataFormat ${i}`);return cE(r,c,e,n,o,!1,p,s)}function Wu(r,t,e,n,o,s,i=!1,a="channelsLast"){let[u,l,c,p]=[-1,-1,-1,-1];if(a==="channelsLast")[u,l,c,p]=r;else if(a==="channelsFirst")[u,p,l,c]=r;else throw new Error(`Unknown dataFormat ${a}`);let[m,f,,d]=t,[h,g]=sh(e),[x,b]=sh(n),w=Qp(m,x),C=Qp(f,b),{padInfo:N,outHeight:_,outWidth:A}=gH(o,l,c,h,g,w,C,s,a),$=i?d*p:d,F;return a==="channelsFirst"?F=[u,$,_,A]:a==="channelsLast"&&(F=[u,_,A,$]),{batchSize:u,dataFormat:a,inHeight:l,inWidth:c,inChannels:p,outHeight:_,outWidth:A,outChannels:$,padInfo:N,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:f,effectiveFilterHeight:w,effectiveFilterWidth:C,dilationHeight:x,dilationWidth:b,inShape:r,outShape:F,filterShape:t}}function cE(r,t,e,n,o,s=!1,i="channelsLast",a){let[u,l,c,p,m]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[u,l,c,p,m]=r;else if(i==="channelsFirst")[u,m,l,c,p]=r;else throw new Error(`Unknown dataFormat ${i}`);let[f,d,h,,g]=t,[x,b,w]=V0(e),[C,N,_]=V0(n),A=Qp(f,C),$=Qp(d,N),F=Qp(h,_),{padInfo:P,outDepth:V,outHeight:G,outWidth:W}=xH(o,l,c,p,x,b,w,A,$,F,a),q=s?g*m:g,H;return i==="channelsFirst"?H=[u,q,V,G,W]:i==="channelsLast"&&(H=[u,V,G,W,q]),{batchSize:u,dataFormat:i,inDepth:l,inHeight:c,inWidth:p,inChannels:m,outDepth:V,outHeight:G,outWidth:W,outChannels:q,padInfo:P,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:f,filterHeight:d,filterWidth:h,effectiveFilterDepth:A,effectiveFilterHeight:$,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:N,dilationWidth:_,inShape:r,outShape:H,filterShape:t}}function dH(r,t,e,n,o){n==null&&(n=W0(r,t,e));let s=r[0],i=r[1],a=ih((s-t+2*n)/e+1,o),u=ih((i-t+2*n)/e+1,o);return[a,u]}function hH(r,t,e,n,o,s){o==null&&(o=W0(r,t[0],n[0]));let i=[0,0,0,e];for(let a=0;a<3;a++)r[a]+2*o>=t[a]&&(i[a]=ih((r[a]-t[a]+2*o)/n[a]+1,s));return i}function W0(r,t,e,n=1){let o=Qp(t,n);return Math.floor((r[0]*(e-1)-e+o)/2)}function sh(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function V0(r){return typeof r=="number"?[r,r,r]:r}function Qp(r,t){return t<=1?r:r+(r-1)*(t-1)}function gH(r,t,e,n,o,s,i,a,u){let l,c,p;if(typeof r=="number"){l={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let f=dH([t,e],s,n,r,a);c=f[0],p=f[1]}else if(r==="same"){c=Math.ceil(t/n),p=Math.ceil(e/o);let m=Math.max(0,(c-1)*n+s-t),f=Math.max(0,(p-1)*o+i-e),d=Math.floor(m/2),h=m-d,g=Math.floor(f/2),x=f-g;l={top:d,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-s+1)/n),p=Math.ceil((e-i+1)/o);else if(typeof r=="object"){let m=u==="channelsLast"?r[1][0]:r[2][0],f=u==="channelsLast"?r[1][1]:r[2][1],d=u==="channelsLast"?r[2][0]:r[3][0],h=u==="channelsLast"?r[2][1]:r[3][1];l={top:m,bottom:f,left:d,right:h,type:m===0&&f===0&&d===0&&h===0?"VALID":"EXPLICIT"},c=ih((t-s+m+f)/n+1,a),p=ih((e-i+d+h)/o+1,a)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outHeight:c,outWidth:p}}function xH(r,t,e,n,o,s,i,a,u,l,c){let p,m,f,d;if(r==="valid"&&(r=0),typeof r=="number"){p={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=hH([t,e,n,1],[a,u,l],1,[o,s,i],r,c);m=g[0],f=g[1],d=g[2]}else if(r==="same"){m=Math.ceil(t/o),f=Math.ceil(e/s),d=Math.ceil(n/i);let h=(m-1)*o+a-t,g=(f-1)*s+u-e,x=(d-1)*i+l-n,b=Math.floor(h/2),w=h-b,C=Math.floor(g/2),N=g-C,_=Math.floor(x/2),A=x-_;p={top:C,bottom:N,left:_,right:A,front:b,back:w,type:"SAME"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:p,outDepth:m,outHeight:f,outWidth:d}}function ih(r,t){if(!t)return Math.trunc(r);switch(t){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${t}`)}}function ro(r){let[t,e,n]=sh(r);return t===1&&e===1&&n===1}function $r(r,t){return ro(r)||ro(t)}function $i(r){return sh(r).every(t=>t>0)}function pE(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function ve(r,t,e){if(e!=null){if(typeof t=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t=="number")E(aa(t),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(o=>{E(aa(o),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${t}`)}}function yH(r,t){let n={x:v(r,"x","reshape","string_or_numeric")},o={shape:t};return k.runKernel(gi,n,o)}var R=T({reshape_:yH});function bH(r,t,e,n,o){let s=v(r,"x","avgPool","float32"),i=1;E($r(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),ve("avgPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=k.runKernel(Wo,l,c);return p=J(p,s.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Zl=T({avgPool_:bH});function wH(r,t,e,n,o,s="NDHWC"){let i=v(r,"x","avgPool3d","float32"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),E(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),E(typeof e=="number"&&e>0||Array.isArray(e)&&e[0]>0&&e[1]>0&&e[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${e}'`),ve("avgPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=k.runKernel(Al,l,c);return p=J(p,a.dtype),u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var lx=T({avgPool3d_:wH});function CH(r,t=0){E(r.length>=1,()=>"Pass at least one tensor to concat");let e=Ya(r,"tensors","concat","string_or_numeric");if(e[0].dtype==="complex64"&&e.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor with dtype ${s.dtype}. `)}),e.length===1)return an(e[0]);let n=e,o={axis:t};return k.runKernel(ci,n,o)}var oe=T({concat_:CH});function IH(r,t,e=!1,n=!1){let o=v(r,"a","matMul"),s=v(t,"b","matMul");[o,s]=Ht(o,s);let i={a:o,b:s},a={transposeA:e,transposeB:n};return k.runKernel(Uo,i,a)}var Mt=T({matMul_:IH});function vH(r){let e={x:v(r,"x","sigmoid","float32")};return k.runKernel(As,e)}var Qr=T({sigmoid_:vH});function SH(r,t,e){let n=v(r,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let o={x:n},s={begin:t,size:e};return k.runKernel(yi,o,s)}var Rt=T({slice_:SH});function NH(r){let e={x:v(r,"x","tanh","float32")};return k.runKernel(Ls,e)}var Di=T({tanh_:NH});function TH(r,t,e,n,o,s){let i=v(r,"forgetBias","basicLSTMCell"),a=v(t,"lstmKernel","basicLSTMCell"),u=v(e,"lstmBias","basicLSTMCell"),l=v(n,"data","basicLSTMCell"),c=v(o,"c","basicLSTMCell"),p=v(s,"h","basicLSTMCell"),m=oe([l,p],1),f=Mt(m,a),d=Y(f,u),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Rt(d,[0,0],x),w=Rt(d,[0,g],x),C=Rt(d,[0,g*2],x),N=Rt(d,[0,g*3],x),_=Y(D(Qr(b),Di(w)),D(c,Qr(Y(i,C)))),A=D(Di(_),Qr(N));return[_,A]}var mE=T({basicLSTMCell_:TH});function kH(r,t,e){let n=v(r,"x","batchToSpaceND"),o=t.reduce((a,u)=>a*u);E(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),E(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),E(n.shape[0]%o===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${o}`);let s={x:n},i={blockShape:t,crops:e};return k.runKernel(ui,s,i)}var Jl=T({batchToSpaceND_:kH});function fE(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function EH(r,t,e,n,o,s){s==null&&(s=.001);let i=v(r,"x","batchNorm"),a=v(t,"mean","batchNorm"),u=v(e,"variance","batchNorm"),l;o!=null&&(l=v(o,"scale","batchNorm"));let c;n!=null&&(c=v(n,"offset","batchNorm")),E(a.rank===u.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),E(c==null||a.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),E(l==null||a.rank===l.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:fE(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=k.runKernel(ns,m,f);return R(d,i.shape)}var Ri=T({batchNorm_:EH});function _H(r,t,e,n,o,s){let i=v(r,"x","batchNorm"),a=v(t,"mean","batchNorm"),u=v(e,"variance","batchNorm"),l;o!=null&&(l=v(o,"scale","batchNorm"));let c;return n!=null&&(c=v(n,"offset","batchNorm")),E(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),E(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),E(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var ux=T({batchNorm2d_:_H});function AH(r,t,e,n,o,s){let i=v(r,"x","batchNorm"),a=v(t,"mean","batchNorm"),u=v(e,"variance","batchNorm"),l;o!=null&&(l=v(o,"scale","batchNorm"));let c;return n!=null&&(c=v(n,"offset","batchNorm")),E(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),E(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),E(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var cx=T({batchNorm3d_:AH});function $H(r,t,e,n,o,s){let i=v(r,"x","batchNorm"),a=v(t,"mean","batchNorm"),u=v(e,"variance","batchNorm"),l;o!=null&&(l=v(o,"scale","batchNorm"));let c;return n!=null&&(c=v(n,"offset","batchNorm")),E(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),E(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),E(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),l!=null&&E(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),c!=null&&E(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Ri(i,a,u,c,l,s)}var px=T({batchNorm4d_:$H});function DH(r,t,e){let n=v(r,"x","bincount"),o=v(t,"weights","bincount");E(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(o.size===n.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${o.shape}.`);let s={x:n,weights:o},i={size:e};return k.runKernel(cp,s,i)}var mx=T({bincount_:DH});function RH(r,t){let e=v(r,"s0","broadcastArgs","int32"),n=v(t,"s1","broadcastArgs","int32");if(e.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${e.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let o={s0:e,s1:n};return k.runKernel(pp,o)}var dE=T({broadcastArgs_:RH});function FH(r,t){let e=v(r,"broadcastTo","x"),n=e.shape;if(Le(t),t.lengthe.rank){let l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])s[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,c)=>l>1?c:-1).filter(l=>l>=0).length===0)return an(e);let a={x:e},u={reps:s};return k.runKernel(Qn,a,u)}var Fi=T({broadcastTo_:FH});function OH(r){let e={x:v(r,"x","ceil","float32")};return k.runKernel(Ho,e)}var fx=T({ceil_:OH});function yo(r,t,e){Le(r);let n={shape:r,value:t,dtype:e};return k.runKernel(Fl,{},n)}function PH(r,t,e){let n=v(r,"x","clipByValue");if(E(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return yo(n.shape,t,n.dtype);let o={x:n},s={clipValueMin:t,clipValueMax:e};return k.runKernel(co,o,s)}var vr=T({clipByValue_:PH});function LH(r){return oe(r,0)}var dx=T({concat1d_:LH});function MH(r,t){return oe(r,t)}var hx=T({concat2d_:MH});function zH(r,t){return oe(r,t)}var gx=T({concat3d_:zH});function BH(r,t){return oe(r,t)}var xx=T({concat4d_:BH});function VH(r,t,e,n,o="NHWC",s=[1,1],i){let a=v(r,"x","conv2d","float32"),u=v(t,"filter","conv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),E(u.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${u.rank}.`),ve("conv2d",n,i);let p=o==="NHWC"?l.shape[3]:l.shape[1];E(p===u.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${u.shape[2]}.`),E($r(e,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E($i(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),E($i(e),()=>"Error in conv2D: Strides should be larger than 0.");let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=k.runKernel(qo,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var vn=T({conv2d_:VH});function GH(r,t,e,n,o="NWC",s=1,i){let a=v(r,"x","conv1d"),u=v(t,"filter","conv1d"),l=a,c=!1;a.rank===2&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1]])),E(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),E(u.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${u.rank}.`),ve("conv1d",n,i),E(l.shape[2]===u.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${u.shape[1]}.`),E($r(e,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${s}'`),E($i(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),E($i(e),()=>"Error in conv1D: Stride should be larger than 0."),E(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=R(u,[1,u.shape[0],u.shape[1],u.shape[2]]),m=R(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=vn(m,p,[1,e],n,"NHWC",[1,s],i);return c?R(g,[g.shape[2],g.shape[3]]):R(g,[g.shape[0],g.shape[2],g.shape[3]])}var tm=T({conv1d_:GH});function WH(r,t,e,n,o,s="NHWC",i){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let a=r,u=t,l=!1;t.rank===3&&(l=!0,u=R(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,r[0],r[1],r[2]]),E(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),E(u.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${u.rank}`),E(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);let c=s==="NHWC"?a[3]:a[1],p=s==="NHWC"?u.shape[3]:u.shape[1];E(c===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[2]}.`),E(p===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${e.shape[3]}.`),ve("conv2dDerInput",o,i);let m={dy:u,filter:e},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:i,inputShape:a},d=k.runKernel(Ko,m,f);return l?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var em=T({conv2DBackpropInput_:WH});function UH(r,t,e,n,o,s){let i=v(r,"x","conv2dTranspose"),a=v(t,"filter","conv2dTranspose");return em(e,i,a,n,o,"NHWC",s)}var rm=T({conv2dTranspose_:UH});function HH(r,t,e,n,o="NDHWC",s=[1,1,1]){let i=v(r,"x","conv3d"),a=v(t,"filter","conv3d"),u=i,l=!1;i.rank===4&&(l=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),E(u.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${u.rank}.`),E(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),E(u.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${u.shape[4]}) must match input depth for filter ${a.shape[3]}.`),E($r(e,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${s}'`),E(o==="NDHWC",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`),E($i(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),E($i(e),()=>"Error in conv3D: Strides should be larger than 0.");let c={x:u,filter:a},p={strides:e,pad:n,dataFormat:o,dilations:s},m=k.runKernel(Dl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var yx=T({conv3d_:HH});function qH(r,t,e,n,o){E(r.length===t.rank,()=>`Length of inShape (${r.length}) and rank of dy (${t.rank}) must match`);let s=r,i=t,a=!1;t.rank===4&&(a=!0,i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let u=s[4],l=i.shape[4];E(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),E(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),E(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),E(u===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[3]}.`),E(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);let c={dy:i,filter:e},p={pad:o,strides:n,inputShape:s},m=k.runKernel(hp,c,p);return a?R(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var bx=T({conv3DBackpropInput_:qH});function KH(r,t,e,n,o){let s=v(r,"x","conv3dTranspose"),i=v(t,"filter","conv3dTranspose");return bx(e,s,i,n,o)}var wx=T({conv3dTranspose_:KH});function jH(r){let e={x:v(r,"x","cos","float32")};return k.runKernel(jo,e)}var Ql=T({cos_:jH});function XH(r){let e={x:v(r,"x","cosh","float32")};return k.runKernel(Xo,e)}var nm=T({cosh_:XH});function YH(r,t=0,e=!1,n=!1){let s={x:v(r,"x","cumprod")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(xa,s,i)}var Uu=T({cumprod_:YH});function ZH(r,t=0,e=!1,n=!1){let s={x:v(r,"x","cumsum")},i={axis:t,exclusive:e,reverse:n};return k.runKernel(Yo,s,i)}var om=T({cumsum_:ZH});function JH(r,t,e,n=!1){let o=v(r,"x","denseBincount"),s=v(t,"weights","denseBincount");E(o.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),E(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),E(e>=0,()=>`size must be non-negative, but got ${e}.`),E(s.size===o.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${s.shape}.`);let i={x:o,weights:s},a={size:e,binaryOutput:n};return k.runKernel(gp,i,a)}var ah=T({denseBincount_:JH});function QH(r,t,e="NHWC"){let n=v(r,"x","depthToSpace","float32"),o=e==="NHWC"?n.shape[1]:n.shape[2],s=e==="NHWC"?n.shape[2]:n.shape[3],i=e==="NHWC"?n.shape[3]:n.shape[1];E(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),E(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${o} and ${t} for depthToSpace with input shape ${n.shape}`),E(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying @@ -29,7 +29,7 @@ Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function zK(r,t ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(zl,i)}var j_=T({sparseSegmentMean_:V6});function G6(r,t,e){let n=v(r,"data","sparseSegmentSum"),o=v(t,"indices","sparseSegmentSum","int32"),s=v(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape ${s.shape}`);let i={data:n,indices:o,segmentIds:s};return k.runKernel(Bl,i)}var X_=T({sparseSegmentSum_:G6});function W6(r,t,e,n,o,s,i,a){let u=v(r,"data","stringNGrams","string");if(u.dtype!=="string")throw new Error("Data must be of datatype string");if(u.shape.length!==1)throw new Error(`Data must be a vector, saw: ${u.shape}`);let l=v(t,"dataSplits","stringNGrams");if(l.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=k.runKernel(Gl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var Y_=T({stringNGrams_:W6});function U6(r,t,e=!0){let n=v(r,"input","stringSplit","string"),o=v(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(o.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${o.shape}`);let s={skipEmpty:e},i={input:n,delimiter:o},a=k.runKernel(Wl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var Z_=T({stringSplit_:U6});function H6(r,t){let e=v(r,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let o={input:e};return k.runKernel(Ul,o,n)}var J_=T({stringToHashBucketFast_:H6});var q6={fft:lu,ifft:el,rfft:uu,irfft:ym},K6={hammingWindow:y_,hannWindow:iy,frame:ay,stft:b_},oo={flipLeftRight:C_,grayscaleToRGB:I_,resizeNearestNeighbor:my,resizeBilinear:py,rotateWithOffset:v_,cropAndResize:w_,nonMaxSuppression:S_,nonMaxSuppressionAsync:k_,nonMaxSuppressionWithScore:E_,nonMaxSuppressionWithScoreAsync:__,nonMaxSuppressionPadded:A_,nonMaxSuppressionPaddedAsync:$_,threshold:D_,transform:R_},iS={bandPart:F_,gramSchmidt:O_,qr:L_},j6={absoluteDifference:M_,computeWeightedLoss:Ur,cosineDistance:z_,hingeLoss:B_,huberLoss:V_,logLoss:G_,meanSquaredError:W_,sigmoidCrossEntropy:U_,softmaxCrossEntropy:H_},X6={sparseFillEmptyRows:q_,sparseReshape:K_,sparseSegmentMean:j_,sparseSegmentSum:X_},Y6={stringNGrams:Y_,stringSplit:Z_,stringToHashBucketFast:J_};var Q={};Ut(Q,{Serializable:()=>dh,SerializationMap:()=>Wi,registerClass:()=>aS});var dh=class{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}},Wi=class{constructor(){this.classNameMap={}}static getMap(){return Wi.instance==null&&(Wi.instance=new Wi),Wi.instance}static register(t){Wi.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function aS(r){E(r.className!=null,()=>"Class being registered does not have the static className property defined."),E(typeof r.className=="string",()=>"className is required to be a string, but got type "+typeof r.className),E(r.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Wi.register(r)}var Hr=class extends dh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return Nt(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Dx(t,e)}dispose(){this.iterations_!=null&&Nt(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:pt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Hr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var ec=class extends Hr{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=k.backend.epsilon())}static get className(){return"Adadelta"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:B(()=>It(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=Y(D(u,this.rho),D(zt(a),1-this.rho)),p=D(ut(Se(Y(l,this.epsilon)),Se(Y(u,this.epsilon))),a),m=Y(D(l,this.rho),D(zt(p),1-this.rho));u.assign(c),l.assign(m);let f=Y(D(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Nt(this.accumulatedGrads.map(t=>t.variable)),Nt(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){let t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=t.length/2,n=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}};var rc=class extends Hr{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}static get className(){return"Adagrad"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:B(()=>yo(s.shape,this.initialAccumulatorValue).variable(!1))});let i=Array.isArray(t)?t[o].tensor:t[n];if(i==null)return;let a=this.accumulatedGrads[o].variable;B(()=>{let u=Y(a,zt(i));a.assign(u);let l=Y(D(ut(i,Se(Y(u,k.backend.epsilon()))),-this.learningRate),s);s.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Nt(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulatedGrads=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}};var nc=class extends Hr{constructor(t,e,n,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],B(()=>{this.accBeta1=pt(e).variable(),this.accBeta2=pt(n).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return"Adam"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=lt(1,this.accBeta2);e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:B(()=>It(a).variable(u))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${s}/v`,variable:B(()=>It(a).variable(u))});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedSecondMoment[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=Y(D(p,this.beta2),D(zt(l),1-this.beta2)),d=ut(m,n),h=ut(f,o);c.assign(m),p.assign(f);let g=Y(D(ut(d,Y(Se(h),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(D(this.accBeta1,this.beta1)),this.accBeta2.assign(D(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&Nt(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),B(()=>{this.accBeta1.assign(ln(this.beta1,this.iterations_+1)),this.accBeta2.assign(ln(this.beta2,this.iterations_+1))});let e=t.length/2,n=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}};var oc=class extends Hr{constructor(t,e,n,o=null,s=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],B(()=>{this.iteration=pt(0).variable(),this.accBeta1=pt(e).variable()}),o==null&&(this.epsilon=k.backend.epsilon())}static get className(){return"Adamax"}applyGradients(t){let e=Array.isArray(t)?t.map(n=>n.name):Object.keys(t);B(()=>{let n=lt(1,this.accBeta1),o=ut(-this.learningRate,Y(D(this.iteration,this.decay),1));e.forEach((s,i)=>{let a=k.registeredVariables[s],u=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${s}/m`,variable:It(a).variable(u)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${s}/v`,variable:It(a).variable(u)});let l=Array.isArray(t)?t[i].tensor:t[s];if(l==null)return;let c=this.accumulatedFirstMoment[i].variable,p=this.accumulatedWeightedInfNorm[i].variable,m=Y(D(c,this.beta1),D(l,1-this.beta1)),f=D(p,this.beta2),d=Ee(l),h=Sn(f,d);c.assign(m),p.assign(h);let g=Y(D(ut(o,n),ut(m,Y(h,this.epsilon))),a);a.assign(g)}),this.iteration.assign(Y(this.iteration,1)),this.accBeta1.assign(D(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Nt(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&Nt(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}};var rl=class extends Hr{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}static get className(){return"SGD"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=Array.isArray(t)?t[o].tensor:t[n];if(s==null)return;let i=k.registeredVariables[n];B(()=>{let a=Y(D(this.c,s),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=De(pt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}};var sc=class extends rl{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=pt(this.momentum)}static get className(){return"Momentum"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(!1))});let i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[n];a!=null&&B(()=>{let u,l=Y(D(this.m,i),a);this.useNesterov?u=Y(D(this.c,Y(a,D(l,this.m))),s):u=Y(D(this.c,l),s),i.assign(l),s.assign(u)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Nt(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=!1;this.accumulations=t.map(n=>({originalName:n.name,variable:n.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}};var ic=class extends Hr{constructor(t,e=.9,n=0,o=null,s=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=k.backend.epsilon()),t==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}static get className(){return"RMSProp"}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=k.registeredVariables[n],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:B(()=>It(s).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:B(()=>It(s).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:B(()=>It(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;B(()=>{let c=Y(D(u,this.decay),D(zt(a),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=Y(D(p,this.decay),D(a,1-this.decay)),f=ut(D(a,this.learningRate),Se(lt(c,Y(zt(m),this.epsilon)))),d=Y(D(l,this.momentum),f);u.assign(c),p.assign(m),l.assign(d);let h=lt(s,d);s.assign(h)}else{let p=Y(D(u,this.decay),D(zt(a),1-this.decay)),m=Y(D(l,this.momentum),ut(D(a,this.learningRate),Se(Y(p,this.epsilon))));u.assign(p),l.assign(m);let f=lt(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Nt(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Nt(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&Nt(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){let t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);let e=this.centered?t.length/3:t.length/2,n=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}};var Z6=[ec,rc,nc,oc,sc,ic,rl];function Q_(){for(let r of Z6)aS(r)}var Pr={};Ut(Pr,{browserFiles:()=>eA,browserHTTPRequest:()=>oA,concatenateArrayBuffers:()=>qp,copyModel:()=>oE,decodeWeights:()=>Kg,encodeWeights:()=>G1,fromMemory:()=>sA,fromMemorySync:()=>fS,getLoadHandlers:()=>j1,getModelArtifactsForJSON:()=>Kp,getModelArtifactsForJSONSync:()=>R0,getModelArtifactsInfoForJSON:()=>ki,getSaveHandlers:()=>K1,getWeightSpecs:()=>Xg,http:()=>dy,isHTTPScheme:()=>fy,listModels:()=>rE,loadWeights:()=>rA,moveModel:()=>sE,registerLoadRouter:()=>q1,registerSaveRouter:()=>H1,removeModel:()=>nE,weightsLoaderFactory:()=>pS,withSaveHandler:()=>iA,withSaveHandlerSync:()=>aA});var J6="model",Q6=".json",tX=".weights.bin";function tA(r){return new Promise(t=>setTimeout(t)).then(r)}var nl=class{constructor(t){if(!M().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(nl.URL_SCHEME)&&(t=t.slice(nl.URL_SCHEME.length)),(t==null||t.length===0)&&(t=J6),this.modelJsonFileName=t+Q6,this.weightDataFileName=t+tX}async save(t){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o=jg(t,n),s=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),i=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(i.download=this.modelJsonFileName,i.href=s,await tA(()=>i.dispatchEvent(new MouseEvent("click"))),t.weightData!=null){let a=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;a.download=this.weightDataFileName,a.href=e,await tA(()=>a.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:ki(t)}}}};nl.URL_SCHEME="downloads://";var lS=class{constructor(t){if(t==null||t.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${t}`);this.jsonFile=t[0],this.weightsFiles=t.slice(1)}async load(){return new Promise((t,e)=>{let n=new FileReader;n.onload=o=>{let s=JSON.parse(o.target.result),i=s.modelTopology;if(i==null){e(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){e(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){t({modelTopology:i});return}let u=Kp(s,l=>this.loadWeights(l));t(u)},n.onerror=o=>e(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(t){let e=[],n=[];for(let i of t)e.push(...i.weights),n.push(...i.paths);let o=this.checkManifestAndWeightFiles(t),s=n.map(i=>this.loadWeightsFile(i,o[i]));return Promise.all(s).then(i=>[e,qp(i)])}loadWeightsFile(t,e){return new Promise((n,o)=>{let s=new FileReader;s.onload=i=>{let a=i.target.result;n(a)},s.onerror=i=>o(`Failed to weights data from file of path '${t}'.`),s.readAsArrayBuffer(e)})}checkManifestAndWeightFiles(t){let e=[],n=this.weightsFiles.map(s=>D0(s.name)),o={};for(let s of t)s.paths.forEach(i=>{let a=D0(i);if(e.indexOf(a)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(e.push(a),n.indexOf(a)===-1)throw new Error(`Weight file with basename '${a}' is not provided.`);o[i]=this.weightsFiles[n.indexOf(a)]});if(e.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${e.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return o}},eX=r=>M().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(nl.URL_SCHEME)?rX(r.slice(nl.URL_SCHEME.length)):null;Ie.registerSaveRouter(eX);function rX(r="model"){return new nl(r)}function eA(r){return new lS(r)}function uS(r,t,e,n){i(r),e=e==null?0:e,n=n==null?1:n,a(e,n);let o=0,s=u=>(u.then(l=>{let c=e+ ++o/r.length*(n-e);return t(c),l}),u);function i(u){E(u!=null&&Array.isArray(u)&&u.length>0,()=>"promises must be a none empty array")}function a(u,l){E(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${u}`),E(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),E(l>=u,()=>`startFraction must be no more than endFraction, but got startFraction ${u} and endFraction ${l}`)}return Promise.all(r.map(s))}async function cS(r,t){t==null&&(t={});let e=t.fetchFunc==null?M().platform.fetch:t.fetchFunc,n=r.map(p=>e(p,t.requestInit,{isBinary:!0})),o=0,s=.5,a=(t.onProgress==null?await Promise.all(n):await uS(n,t.onProgress,o,s)).map(p=>p.arrayBuffer()),u=.5,l=1;return t.onProgress==null?await Promise.all(a):await uS(a,t.onProgress,u,l)}async function rA(r,t="",e,n){return pS(i=>cS(i,{requestInit:n}))(r,t,e)}function pS(r){return async(t,e="",n)=>{let o=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],a=[];if(t.forEach((f,d)=>{let h=0;f.weights.forEach(g=>{let x="quantization"in g?g.quantization.dtype:g.dtype,b=nh[x]*Jt(g.shape),w=()=>{o[d]=!0,s[d]==null&&(s[d]=[]),s[d].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};n!=null?n.forEach((C,N)=>{C===g.name&&(w(),i[N]=!0)}):w(),a.push(g.name),h+=b})}),!i.every(f=>f)){let f=n.filter((d,h)=>!i[h]);throw new Error(`Could not find weights in manifest with names: ${f.join(", ")}. -Manifest JSON has weights with names: ${a.join(", ")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith("/")?"":"/")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Kg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var nX="application/octet-stream",oX="application/json",hh=class{constructor(t,e){if(this.DEFAULT_METHOD="POST",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o=jg(t,n);e.body.append("model.json",new Blob([JSON.stringify(o)],{type:oX}),"model.json"),t.weightData!=null&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:nX}),"model.weights.bin");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:ki(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?i+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":i+=" Please make sure the server is serving valid JSON for this request.",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Kp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=sX(e),s=this.weightPathPrefix||n,i=Xg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await cS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,qp(l)]}};hh.URL_SCHEME_REGEX=/^https?:\/\//;function sX(r){let t=r.lastIndexOf("/"),e=r.lastIndexOf("?"),n=r.substring(0,t),o=e>t?r.substring(e):"";return[n+"/",o]}function fy(r){return r.match(hh.URL_SCHEME_REGEX)!=null}var nA=(r,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>fy(n)):e=fy(r),e)return dy(r,t)}return null};Ie.registerSaveRouter(nA);Ie.registerLoadRouter(nA);function dy(r,t){return new hh(r,t)}function oA(r,t){return dy(r,t)}var gh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},hy=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},mS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function sA(r,t,e,n){let o=arguments;return new mS(fS(...o))}function fS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new gh(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gh({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function iA(r){return new hy(r)}function aA(r){return new hy(r)}var uA={};Ut(uA,{confusionMatrix:()=>lA});function iX(r,t,e){let n=v(r,"labels","confusionMatrix"),o=v(t,"predictions","confusionMatrix");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Bi(J(n,"int32"),e),i=Bi(J(o,"int32"),e),a=Pt(s),u=Mt(a,i);return J(u,"int32")}var lA=T({confusionMatrix_:iX});var gy={};Ut(gy,{fromPixels:()=>fX,fromPixelsAsync:()=>pX,toPixels:()=>mX});var ac;function cA(r,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Zd(Xd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Xd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext("2d").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(ac==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")ac=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else ac=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});ac.canvas.width=l,ac.canvas.height=c,ac.drawImage(r,0,0,l,c),p=ac.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!=="float32"&&e.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype==="float32"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype==="int32"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext("2d"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var fX=T({fromPixels_:cA});var xy={};Ut(xy,{prepareAndValidate:()=>pA});function pA(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var ze={};Ut(ze,{assertParamsValid:()=>hX,computeFlatOffset:()=>wX,computeOutShape:()=>xX,getNormalizedAxes:()=>yX,isSliceContinous:()=>bX,maskToAxes:()=>gX,parseSliceParams:()=>hS,sliceInfo:()=>CX,startForAxis:()=>bA,startIndicesWithElidedDims:()=>gA,stopForAxis:()=>wA,stopIndicesWithElidedDims:()=>xA,stridesForAxis:()=>yA,stridesWithElidedDims:()=>fA});var dS=-2,dX=-1;function hX(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function gX(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function xX(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=gA(i,f,d,n,r),p=xA(a,f,d,o,r),m=fA(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=dA(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=dA(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function wA(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function bX(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function wX(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return e==null?s=new Array(o).fill(-1):typeof e=="number"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function CX(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&(i&i-1)!==0)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=mA(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=mA(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===dS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==dS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function IX(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var CA="4.2.0";var xh=class{static sgd(t){return new rl(t)}static momentum(t,e,n=!1){return new sc(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new ic(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new nc(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new ec(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new oc(t,e,n,o,s)}static adagrad(t,e=.1){return new rc(t,e)}};var lc=xh;var vX=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function yh(){return new Promise(r=>vX(()=>r()))}var S={};Ut(S,{ERF_A1:()=>MX,ERF_A2:()=>zX,ERF_A3:()=>BX,ERF_A4:()=>VX,ERF_A5:()=>GX,ERF_P:()=>LX,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Ui,SELU_SCALE:()=>xS,SELU_SCALEALPHA:()=>gS,applyActivation:()=>Qu,assertAndGetBroadcastShape:()=>Ot,assertAxesAreInnerMostDims:()=>pq,assertParamsConsistent:()=>SX,assignToTypedArray:()=>jX,axesAreInnerMostDims:()=>U0,calculateShapes:()=>m_,checkEinsumDimSizes:()=>t5,checkPadOnDimRoundingMode:()=>ve,combineLocations:()=>yE,combineRaggedTensorToTensorShapes:()=>TX,complexWithEvenIndex:()=>HX,complexWithOddIndex:()=>qX,computeConv2DInfo:()=>Wu,computeConv3DInfo:()=>cE,computeDefaultPad:()=>W0,computeDilation2DInfo:()=>mH,computeOptimalWindowSize:()=>AX,computeOutAndReduceShapes:()=>H0,computeOutShape:()=>NX,computePool2DInfo:()=>G0,computePool3DInfo:()=>fH,convertConv2DDataFormat:()=>pE,decodeEinsumEquation:()=>JX,eitherStridesOrDilationsAreOne:()=>$r,expandShapeToKeepDim:()=>bo,exponent:()=>YX,exponents:()=>XX,fromStringArrayToUint8:()=>C5,fromUint8ToStringArray:()=>w5,getAxesPermutation:()=>q0,getBroadcastDims:()=>gE,getComplexWithIndex:()=>KX,getEinsumComputePath:()=>e5,getEinsumPermutation:()=>QX,getFusedBiasGradient:()=>Ju,getFusedDyActivation:()=>Zu,getImageCenter:()=>$X,getInnerMostAxes:()=>mq,getPermuted:()=>RX,getRaggedRank:()=>EX,getReductionAxes:()=>xe,getReshaped:()=>DX,getReshapedPermuted:()=>FX,getRowPartitionTypesHelper:()=>kX,getSliceBeginCoords:()=>OX,getSliceSize:()=>PX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>s5,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>i5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>a5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>c5,getSparseReshapeInputOutputMismatchErrorMessage:()=>m5,getSparseReshapeInputOutputMultipleErrorMessage:()=>p5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>l5,getSparseReshapeNegativeOutputDimErrorMessage:()=>u5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>g5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>f5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>d5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>h5,getUndoAxesPermutation:()=>lh,isIdentityPermutation:()=>r5,log:()=>l4,mergeRealAndImagArrays:()=>WX,prepareAndValidate:()=>pA,prepareSplitSize:()=>o5,segment_util:()=>bS,shouldFuse:()=>tc,slice_util:()=>ze,splitRealAndImagArrays:()=>UX,stridesOrDilationsArePositive:()=>$i,tupleValuesAreOne:()=>ro,upcastType:()=>lr,validateDefaultValueShape:()=>_X,validateInput:()=>ny,validateUpdateShape:()=>rS,warn:()=>Ti});function SX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function NX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function kX(r){let t={FIRST_DIM_SIZE:Ui.FIRST_DIM_SIZE,VALUE_ROWIDS:Ui.VALUE_ROWIDS,ROW_LENGTHS:Ui.ROW_LENGTHS,ROW_SPLITS:Ui.ROW_SPLITS,ROW_LIMITS:Ui.ROW_LIMITS,ROW_STARTS:Ui.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function EX(r){return r.length===0?0:r[0]===Ui.FIRST_DIM_SIZE?r.length-1:r.length}function _X(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function AX(r){return r<=yy?r:ip(r,Math.floor(Math.sqrt(r)))}function $X(r,t,e){let n=e*(typeof r=="number"?r:r[0]),o=t*(typeof r=="number"?r:r[1]);return[n,o]}function DX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function FX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s/g,IA=",",vA="...";function JX(r,t){r=r.replace(/\s/g,"");let e=(r.length-r.replace(ZX,"").length)/yS.length;if(e<1)throw new Error("Equations without an arrow are not supported.");if(e>1)throw new Error(`Equation must contain exactly one arrow ("${yS}").`);let[n,o]=r.split(yS);E(n.indexOf(vA)===-1,()=>`The ellipsis notation ("${vA}") is not supported yet.`);let s=n.split(IA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function t5(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function e5(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function n5(r,t){let e=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function s5(r){return`Received SparseTensor with denseShape[0] = 0 but +Manifest JSON has weights with names: ${a.join(", ")}.`)}let u=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),l=[];u.forEach(f=>{t[f].paths.forEach(d=>{let h=e+(e.endsWith("/")?"":"/")+d;l.push(h)})});let c=await r(l),p={},m=0;return u.forEach(f=>{let d=t[f].paths.length,h=0;for(let C=0;C{let N=g.slice(C.groupOffset,C.groupOffset+C.sizeBytes),_=Kg(N,[C.manifestEntry]);for(let A in _)p[A]=_[A]}),m+=d}),p}}var nX="application/octet-stream",oX="application/json",hh=class{constructor(t,e){if(this.DEFAULT_METHOD="POST",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=M().platform.fetch,E(t!=null&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&E(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o=jg(t,n);e.body.append("model.json",new Blob([JSON.stringify(o)],{type:oX}),"model.json"),t.weightData!=null&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:nX}),"model.weights.bin");let s=await this.fetch(this.path,e);if(s.ok)return{modelArtifactsInfo:ki(t),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. Please verify this URL points to the model JSON of the model to load.`);let e;try{e=await t.json()}catch(s){let i=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?i+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":i+=" Please make sure the server is serving valid JSON for this request.",new Error(i)}let n=e.modelTopology,o=e.weightsManifest;if(n==null&&o==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Kp(e,s=>this.loadWeights(s))}async loadWeights(t){let e=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=sX(e),s=this.weightPathPrefix||n,i=Xg(t),a=[],u=[];for(let c of t)for(let p of c.paths)this.weightUrlConverter!=null?u.push(this.weightUrlConverter(p)):a.push(s+p+o);this.weightUrlConverter&&a.push(...await Promise.all(u));let l=await cS(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[i,qp(l)]}};hh.URL_SCHEME_REGEX=/^https?:\/\//;function sX(r){let t=r.lastIndexOf("/"),e=r.lastIndexOf("?"),n=r.substring(0,t),o=e>t?r.substring(e):"";return[n+"/",o]}function fy(r){return r.match(hh.URL_SCHEME_REGEX)!=null}var nA=(r,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let e=!0;if(Array.isArray(r)?e=r.every(n=>fy(n)):e=fy(r),e)return dy(r,t)}return null};Ie.registerSaveRouter(nA);Ie.registerLoadRouter(nA);function dy(r,t){return new hh(r,t)}function oA(r,t){return dy(r,t)}var gh=class{constructor(t){this.modelArtifacts=t}load(){return this.modelArtifacts}},hy=class{constructor(t){this.saveHandler=t}save(t){return this.saveHandler(t)}},mS=class{constructor(t){t.load&&(this.load=()=>Promise.resolve(t.load())),t.save&&(this.save=e=>Promise.resolve(t.save(e)))}};function sA(r,t,e,n){let o=arguments;return new mS(fS(...o))}function fS(r,t,e,n){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new gh(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gh({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new gh({modelTopology:r,weightSpecs:t,weightData:e,trainingConfig:n}))}function iA(r){return new hy(r)}function aA(r){return new hy(r)}var uA={};Ut(uA,{confusionMatrix:()=>lA});function iX(r,t,e){let n=v(r,"labels","confusionMatrix"),o=v(t,"predictions","confusionMatrix");E(e==null||e>0&&Number.isInteger(e),()=>`If provided, numClasses must be a positive integer, but got ${e}`),E(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),E(o.rank===1,()=>`Expected the rank of predictions to be 1, but got ${o.rank}`),E(n.shape[0]===o.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${o.shape[0]}. Labels and predictions should have the same number of elements.`),E(e>0&&Number.isInteger(e),()=>`numClasses is required to be a positive integer, but got ${e}`);let s=Bi(J(n,"int32"),e),i=Bi(J(o,"int32"),e),a=Pt(s),u=Mt(a,i);return J(u,"int32")}var lA=T({confusionMatrix_:iX});var gy={};Ut(gy,{fromPixels:()=>fX,fromPixelsAsync:()=>pX,toPixels:()=>mX});var ac;function cA(r,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let e=!1,n=!1,o=!1,s=!1,i=!1,a=!1;if(r.data instanceof Uint8Array)e=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Zd(Xd,k.backendName)!=null){let d={pixels:r},h={numChannels:t};return k.runKernel(Xd,d,h)}let[l,c]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],p;if(i)p=r.getContext("2d").getImageData(0,0,l,c).data;else if(n||e)p=r.data;else if(s||o||a){if(ac==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")ac=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else ac=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});ac.canvas.width=l,ac.canvas.height=c,ac.drawImage(r,0,0,l,c),p=ac.getImageData(0,0,l,c).data}let m;if(t===4)m=new Int32Array(p);else{let d=l*c;m=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(e.dtype!=="float32"&&e.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`);let i=await e.data(),a=e.dtype==="float32"?255:1,u=new Uint8ClampedArray(o*n*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${f}.`)}else if(e.dtype==="int32"&&(f<0||f>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${f}.`);s===1?(c[0]=f*a,c[1]=f*a,c[2]=f*a):c[m]=f*a}let p=l*4;u[p+0]=Math.round(c[0]),u[p+1]=Math.round(c[1]),u[p+2]=Math.round(c[2]),u[p+3]=Math.round(c[3])}if(t!=null){t.width=o,t.height=n;let l=t.getContext("2d"),c=new ImageData(u,o,n);l.putImageData(c,0,0)}return e!==r&&e.dispose(),u}var fX=T({fromPixels_:cA});var xy={};Ut(xy,{prepareAndValidate:()=>pA});function pA(r,t){let e=r.shape.length,n=t.shape.length;if(e<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${e}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>e)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${e}`);if(Jt(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let o=t.shape,s=o[o.length-1],i=1;for(let p=0;pp/l),1].slice(0,s);return[u,i,l,c]}var ze={};Ut(ze,{assertParamsValid:()=>hX,computeFlatOffset:()=>wX,computeOutShape:()=>xX,getNormalizedAxes:()=>yX,isSliceContinous:()=>bX,maskToAxes:()=>gX,parseSliceParams:()=>hS,sliceInfo:()=>CX,startForAxis:()=>bA,startIndicesWithElidedDims:()=>gA,stopForAxis:()=>wA,stopIndicesWithElidedDims:()=>xA,stridesForAxis:()=>yA,stridesWithElidedDims:()=>fA});var dS=-2,dX=-1;function hX(r,t,e){let n=r.shape.length;E(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),E(n===e.length,()=>`Error in slice${n}D: Length of size ${e} must match the rank of the array (${n}).`);for(let o=0;o`Error in slice${n}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${r.shape[o]})`)}function gX(r){let t=[],e=0;for(;r>0;)r&1&&t.push(e),r/=2,e++;return t}function xX(r,t,e){let n=[];for(let o=0;o0){let f=t[0],d=e+1;c=gA(i,f,d,n,r),p=xA(a,f,d,o,r),m=fA(s,f,d,r)}else for(let f=0;f-1)s[a]=0;else{let u=dA(t,e,a),l=n[u];r&1<-1)s[a]=Number.MAX_SAFE_INTEGER;else{let u=dA(t,e,a),l=n[u];r&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),i=np(0,i,u-1),i}function wA(r,t,e,n,o,s){let i=t[o],a=e[o]||1;(r&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let u=n[o];return i<0&&(i+=u),a>0?i=np(0,i,u):i=np(-1,i,u-1),i}function bX(r,t,e){let n=e.length;for(let o=0;o1){n=o;break}for(let o=n+1;o0||e[o]!==r[o])return!1;return!0}function wX(r,t){let e=r.length>0?r[r.length-1]:1;for(let n=0;n{E(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return e==null?s=new Array(o).fill(-1):typeof e=="number"?s=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(E(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),r.shape[a]-n[a])),[n,s]}function CX(r,t,e,n,o,s,i,a,u){let l;if(n==null?(l=new Array(t.length),l.fill(1)):l=n,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:s,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:u};for(let w=0;w0?0:-1,m.strides[w]>0?N:N-1];if(C&&m.strides[w]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[w]===1;let $=!!(m.beginMask&1<=N)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=mA(m.begin[w],0,m.strides[w],N,_,A),m.end[w]=mA(m.end[w],1,m.strides[w],N,_,A);let V=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===N;f=f&&V,d=d&&(w===0&&m.strides[w]===1||V)}else f=f&&m.strides[w]===1&&$,d=d&&(w===0&&m.strides[w]===1||$);let F,P=!1;if(m.beginValid&&m.endValid?(F=m.end[w]-m.begin[w],P=!0):C?(F=1,P=!0):$&&N>=0&&(m.strides[w]<0?F=-N:F=N,P=!0),P){let V;F===0||F<0!=m.strides[w]<0?V=0:V=Math.trunc(F/m.strides[w])+(F%m.strides[w]!==0?1:0),g.push(V)}else g.push(-1)}for(let w=0;w=0?x.push(g[C]):C===dS&&x.push(1)}return{finalShapeSparse:x.filter((w,C)=>m.finalShapeGatherIndices[C]!==dS),finalShape:x,isIdentity:f,sliceDim0:d,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function IX(r,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=r.begin!=null,t.endValid=r.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=r<0?n+r:r;return is[1]?s[1]:i}}var CA="4.2.0";var xh=class{static sgd(t){return new rl(t)}static momentum(t,e,n=!1){return new sc(t,e,n)}static rmsprop(t,e=.9,n=0,o=null,s=!1){return new ic(t,e,n,o,s)}static adam(t=.001,e=.9,n=.999,o=null){return new nc(t,e,n,o)}static adadelta(t=.001,e=.95,n=null){return new ec(t,e,n)}static adamax(t=.002,e=.9,n=.999,o=null,s=0){return new oc(t,e,n,o,s)}static adagrad(t,e=.1){return new rc(t,e)}};var lc=xh;var vX=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function yh(){return new Promise(r=>vX(()=>r()))}var S={};Ut(S,{ERF_A1:()=>MX,ERF_A2:()=>zX,ERF_A3:()=>BX,ERF_A4:()=>VX,ERF_A5:()=>GX,ERF_P:()=>LX,PARALLELIZE_THRESHOLD:()=>yy,RowPartitionType:()=>Ui,SELU_SCALE:()=>xS,SELU_SCALEALPHA:()=>gS,applyActivation:()=>Qu,assertAndGetBroadcastShape:()=>Ot,assertAxesAreInnerMostDims:()=>pq,assertParamsConsistent:()=>SX,assignToTypedArray:()=>jX,axesAreInnerMostDims:()=>U0,calculateShapes:()=>m_,checkEinsumDimSizes:()=>t5,checkPadOnDimRoundingMode:()=>ve,combineLocations:()=>yE,combineRaggedTensorToTensorShapes:()=>TX,complexWithEvenIndex:()=>HX,complexWithOddIndex:()=>qX,computeConv2DInfo:()=>Wu,computeConv3DInfo:()=>cE,computeDefaultPad:()=>W0,computeDilation2DInfo:()=>mH,computeOptimalWindowSize:()=>AX,computeOutAndReduceShapes:()=>H0,computeOutShape:()=>NX,computePool2DInfo:()=>G0,computePool3DInfo:()=>fH,convertConv2DDataFormat:()=>pE,decodeEinsumEquation:()=>JX,eitherStridesOrDilationsAreOne:()=>$r,expandShapeToKeepDim:()=>bo,exponent:()=>YX,exponents:()=>XX,fromStringArrayToUint8:()=>C5,fromUint8ToStringArray:()=>w5,getAxesPermutation:()=>q0,getBroadcastDims:()=>gE,getComplexWithIndex:()=>KX,getEinsumComputePath:()=>e5,getEinsumPermutation:()=>QX,getFusedBiasGradient:()=>Ju,getFusedDyActivation:()=>Zu,getImageCenter:()=>$X,getInnerMostAxes:()=>mq,getPermuted:()=>RX,getRaggedRank:()=>EX,getReductionAxes:()=>xe,getReshaped:()=>DX,getReshapedPermuted:()=>FX,getRowPartitionTypesHelper:()=>kX,getSliceBeginCoords:()=>OX,getSliceSize:()=>PX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>s5,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>i5,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>a5,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>c5,getSparseReshapeInputOutputMismatchErrorMessage:()=>m5,getSparseReshapeInputOutputMultipleErrorMessage:()=>p5,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>l5,getSparseReshapeNegativeOutputDimErrorMessage:()=>u5,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>g5,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>f5,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>d5,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>h5,getUndoAxesPermutation:()=>lh,isIdentityPermutation:()=>r5,log:()=>l4,mergeRealAndImagArrays:()=>WX,prepareAndValidate:()=>pA,prepareSplitSize:()=>o5,segment_util:()=>bS,shouldFuse:()=>tc,slice_util:()=>ze,splitRealAndImagArrays:()=>UX,stridesOrDilationsArePositive:()=>$i,tupleValuesAreOne:()=>ro,upcastType:()=>lr,validateDefaultValueShape:()=>_X,validateInput:()=>ny,validateUpdateShape:()=>rS,warn:()=>Ti});function SX(r,t){let e=r[0].length;r.forEach((o,s)=>{E(o.length===e,()=>`Error in concat${e}D: rank of tensors[${s}] must be the same as the rank of the rest (${e})`)}),E(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);let n=r[0];r.forEach((o,s)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${s}] (${o}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function NX(r,t){let e=r[0].slice();for(let n=1;n=0)if(a>=0){if(a!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+r}] = ${s} but shape[${o+r}] = ${a}`)}else n[i]=s}return n}function kX(r){let t={FIRST_DIM_SIZE:Ui.FIRST_DIM_SIZE,VALUE_ROWIDS:Ui.VALUE_ROWIDS,ROW_LENGTHS:Ui.ROW_LENGTHS,ROW_SPLITS:Ui.ROW_SPLITS,ROW_LIMITS:Ui.ROW_LIMITS,ROW_STARTS:Ui.ROW_STARTS},e=[];for(let n of r)if(n in t)e.push(t[n]);else break;return e}function EX(r){return r.length===0?0:r[0]===Ui.FIRST_DIM_SIZE?r.length-1:r.length}function _X(r,t){if(r==null||t==null)return;let e=r.length,n=t.length;if(e>=n)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${n})`);for(let o=0;o=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-r.length}] = ${s} but ragged tensor input.flatValues.shape[${o-r.length}] = ${i}`)}}var yy=30;function AX(r){return r<=yy?r:ip(r,Math.floor(Math.sqrt(r)))}function $X(r,t,e){let n=e*(typeof r=="number"?r:r[0]),o=t*(typeof r=="number"?r:r[1]);return[n,o]}function DX(r,t,e,n=!0){let o=[];if(n)o=o.concat(t.slice(0)),o.push(r[0]/e),o=o.concat(r.slice(1));else{o=o.concat(r[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):o.push(i);n.push(...o),n.push(0),n.push(...s)}return n}function FX(r,t,e,n=!0){let o=[];n?o.push(r[0]/e):o.push(r[0]*e);for(let s=1;s/g,IA=",",vA="...";function JX(r,t){r=r.replace(/\s/g,"");let e=(r.length-r.replace(ZX,"").length)/yS.length;if(e<1)throw new Error("Equations without an arrow are not supported.");if(e>1)throw new Error(`Equation must contain exactly one arrow ("${yS}").`);let[n,o]=r.split(yS);E(n.indexOf(vA)===-1,()=>`The ellipsis notation ("${vA}") is not supported yet.`);let s=n.split(IA),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let a=[];for(let m=0;md.indexOf(f)!==-1))throw new Error(`Output subscripts contain the label ${f} not present in the input subscripts.`);a.indexOf(f)===-1&&a.push(f)}for(let m=0;mo!==-1),{permutationIndices:e,expandDims:n}}function t5(r,t,e){let n=new Array(r);for(let o=0;o`Expected dimension ${n[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function e5(r,t){let e=r,n=[],o=0;r.length===0&&e.push(-1),o=r.length+1;for(let i=0;it===e)}function n5(r,t){let e=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(r.shape[e]/t);else{let o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);E(o<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((a,u)=>u>0?a+u:a);t[s]=r.shape[e]-i}E(r.shape[e]===t.reduce((i,a)=>i+a),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function s5(r){return`Received SparseTensor with denseShape[0] = 0 but indices.shape[0] = ${r}`}function i5(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function a5(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function l5(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function u5(r,t){return`size ${r} must be non-negative, not ${t}`}function c5(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function p5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a SparseTensor with ${e} dense values, but the requested shape requires a multiple of ${n}. inputShape=${r} outputShape= ${t}`}function m5(r,t){let e=Jt(r),n=Jt(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${n}. inputShape=${r} outputShape=${t}`}function f5(){return"segment ids must be >= 0"}function d5(){return"segment ids are not increasing"}function h5(r,t){return`Segment id ${r} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function g5(r,t,e){return`Bad: indices[${r}] == ${t} out of range [0, ${e})`}var bS={};Ut(bS,{collectGatherOpShapeInfo:()=>b5,computeOutShape:()=>y5,segOpComputeOptimalWindowSize:()=>x5});function x5(r,t){let e=!1,n;for(r<=yy?(n=r,e=!0):n=ip(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=ip(r,n+1);return n}function y5(r,t,e){let n=[],o=r.length;for(let s=0;so))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${n}`);if(n<0&&(n+=o),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) ( ${s}).`);if(eUp(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function C5(r){return r.map(t=>Kl(t))}var qr={};Ut(qr,{nonMaxSuppressionV3Impl:()=>ly,nonMaxSuppressionV4Impl:()=>uy,nonMaxSuppressionV5Impl:()=>cy,whereImpl:()=>ey});Q_();var by={kernelName:li,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,wo(J(e,"float32"),-1))}}};var SA={kernelName:la,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=zt(J(e,"float32")),o=Se(lt(pt(1),n));return qt(ut(r,o))}}}};var NA={kernelName:ua,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(lt(zt(J(e,"float32")),1));return ut(r,n)}}}};var TA={kernelName:Jn,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(a,n.shape)}}}};var kA={kernelName:Vo,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var EA={kernelName:Go,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var _A={kernelName:_l,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>It(e)}}};var AA={kernelName:ma,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Se(lt(pt(1),zt(J(e,"float32")))))}}};var $A={kernelName:fa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Se(Y(pt(1),zt(J(e,"float32"))));return ut(r,n)}}}};var DA={kernelName:ga,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=Y(zt(e),zt(n)),u=D(r,ut(n,a)),l=xe(e.shape,o);return l.length>0&&(u=mt(u,l)),R(u,e.shape)},b:()=>{let a=Y(zt(e),zt(n)),u=qt(D(r,ut(e,a))),l=xe(n.shape,o);return l.length>0&&(u=mt(u,l)),R(u,n.shape)}}}};var RA={kernelName:da,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(zt(J(e,"float32")),1))}}};var FA={kernelName:ha,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,lt(pt(1),zt(J(e,"float32"))))}}};function I5(r,t,e,n,o,s){let i=v(r,"dy","avgPool3dGrad"),a=v(t,"input","avgPool3dGrad"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),E(u.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),E(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),ve("avgPool3dGrad",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=k.runKernel(up,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var OA=T({avgPool3dGrad_:I5});var PA={kernelName:Al,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>OA(r,n,o,s,i,a)}}};function v5(r,t,e,n,o){let s=v(r,"dy","avgPoolGrad"),i=v(t,"input","avgPoolGrad");E(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(u.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${u.rank}.`),E(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=k.runKernel(lp,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var LA=T({avgPoolGrad_:v5});var MA={kernelName:Wo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}=e;return{x:()=>LA(r,n,o,s,i)}}};var zA={kernelName:Uo,inputsToSave:["a","b"],gradFunc:(r,t,e)=>{let[n,o]=t,{transposeA:s,transposeB:i}=e;return!s&&!i?{a:()=>Mt(r,o,!1,!0),b:()=>Mt(n,r,!0,!1)}:!s&&i?{a:()=>Mt(r,o,!1,!1),b:()=>Mt(r,n,!0,!1)}:s&&!i?{a:()=>Mt(o,r,!1,!0),b:()=>Mt(n,r,!1,!1)}:{a:()=>Mt(o,r,!0,!0),b:()=>Mt(r,n,!0,!0)}}};var BA={kernelName:ui,gradFunc:(r,t,e)=>{let{blockShape:n,crops:o}=e;return{x:()=>su(r,n,o)}}};var VA={kernelName:p1,gradFunc:(r,t,e)=>{let n=e,o=n.inputShape,s=n.shape,i=Array.from(s);for(let u=o.length-1;u>=0;u--)if(o[u]===s[u])i[u]=1;else if(o[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${s}].`);let a=[];for(let u=0;u1&&a.push(u);return{x:()=>mt(r,a,!0)}}};var GA={kernelName:uo,gradFunc:r=>({x:()=>r.clone()})};var WA={kernelName:Ho,gradFunc:r=>({x:()=>It(r)})};var UA={kernelName:co,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{clipValueMin:o,clipValueMax:s}=e;return{x:()=>_e(Fr(un(n,o),Mn(n,s)),r,It(r))}}};var HA={kernelName:$l,inputsToSave:["x"],gradFunc:by.gradFunc};var qA={kernelName:ci,saveAllInputs:!0,gradFunc:(r,t,e)=>{let n=t.map(u=>u.shape),{axis:o}=e,s=pr(o,t[0].shape)[0],i=n.map(u=>u[s]);return hr(r,i,s).map(u=>()=>u)}};var KA={kernelName:qo,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{dilations:s,strides:i,pad:a,dataFormat:u}=e;return E(ro(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>em(n.shape,r,o,i,a,u),filter:()=>Im(n,r,o.shape,i,a,u)}}};var jA={kernelName:Ko,inputsToSave:["dy","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,{strides:s,pad:i,dataFormat:a,dimRoundingMode:u}=e;return{dy:()=>vn(r,o,s,i,a,1,u),filter:()=>Im(r,n,o.shape,s,i,a,u)}}};function S5(r,t,e,n,o){let s=r;r.rank===4&&(s=R(r,[1,r.shape[0],r.shape[1],r.shape[2],r.shape[3]]));let i=t;i.rank===4&&(i=R(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(s.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${s.shape}.`),E(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),E(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),E(s.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${e[3]}.`),E(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);let a={x:s,dy:i},u={strides:n,pad:o,filterShape:e};return k.runKernel(dp,a,u)}var XA=T({conv3DBackpropFilter_:S5});var YA={kernelName:Dl,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s}=e;E(ro(n),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${n}'`);let[i,a]=t;return{x:()=>bx(i.shape,r,a,o,s),filter:()=>XA(i,r,a.shape,o,s)}}};var ZA={kernelName:jo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(qt(dm(J(e,"float32"))),r)}}};var JA={kernelName:Xo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(hm(J(e,"float32")),r)}}};var QA={kernelName:Yo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o,exclusive:s,reverse:i}=e;return{x:()=>{let a=q0([o],n.rank),u=om(r,o,s,!i);return a!=null&&(u=Pt(u,a)),u}}}};var t2={kernelName:Zo,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let{dilations:n,strides:o,pad:s,dimRoundingMode:i}=e,a=n==null?[1,1]:n;E(ro(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);let[u,l]=t;return E(u.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),E(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),E(u.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),E($r(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),ve("depthwiseConv2d",s,i),{x:()=>sy(u.shape,r,l,o,s,a,i),filter:()=>oy(u,r,l.shape,o,s,a,i)}}};var e2={kernelName:Rl,inputsToSave:["x","filter"],gradFunc:(r,t,e)=>{let[n,o]=t,s={x:n,filter:o,dy:r},i={x:n,filter:o,dy:r};return{x:()=>k.runKernel(Kd,s,e),filter:()=>k.runKernel(jd,i,e)}}};var r2={kernelName:Qo,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t,n={dy:r,y:e};return{x:()=>k.runKernel(Cp,n)}}};var n2={kernelName:wa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=D(sr(qt(zt(e))),2/Math.sqrt(Math.PI));return{x:()=>D(r,n)}}};var o2={kernelName:ts,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,e)}}};var s2={kernelName:pi,inputsToSave:["input"],gradFunc:(r,t)=>{let[e]=t;return{input:()=>R(r,e.shape)}}};var i2={kernelName:Ia,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,sr(e))}}};var a2={kernelName:es,gradFunc:r=>({x:()=>It(r)})};var l2={kernelName:rs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,"float32")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,"float32")))}}}};var u2={kernelName:ns,inputsToSave:["x","mean","variance","scale"],gradFunc:(r,t,e)=>{let{varianceEpsilon:n}=e,[o,s,i,a]=t,u=a==null?pt(1):a,l=xe(s.shape,o.shape),c=[];if(s.rank===1){for(let C=0;Cs.rank===1?R(D(D(r,Rr(R(f,[1,1,1,s.shape[0]]),c)),u),o.shape):R(D(D(r,f),u),o.shape),mean:()=>{let C=D(D(f,pt(-1)),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},variance:()=>{let C=D(D(d,p),m);return s.rank===1&&(C=mt(C,l)),R(C,s.shape)},scale:()=>{let C=D(p,f),N=D(r,C);return s.rank===1&&(N=mt(N,l)),R(N,s.shape)},offset:()=>{let C=r;return s.rank===1&&(C=mt(C,l)),R(C,s.shape)}}}};var m2={kernelName:mi,inputsToSave:["x","indices"],gradFunc:(r,t,e)=>{let[n,o]=t,{axis:s}=e,i=pr(s,n.shape)[0];return{x:()=>{let u=n.shape,l=o.size,c=u.slice(0,i),p=c.length,m=u.slice(s,u.length).slice(1),f=m.length,d=c2(0,p),h=c2(p+1,p+1+f),g=p2([c,[l],m]),x=R(r,g),b=R(o,[l]),w=p2([[p],d,h]),C=Pt(x,w),N=Cm(C,b,n.shape[i]),_=lh(w);return N=Pt(N,_),N},indices:()=>o}}};function c2(r,t){let e=[];for(let n=r;n{let[e,n]=t;return{a:()=>It(e),b:()=>It(n)}}};var d2={kernelName:po,gradFunc:r=>({x:()=>J(r,"float32")})};var h2={kernelName:Ta,gradFunc:r=>({x:()=>It(r)})};var g2={kernelName:ka,gradFunc:r=>({x:()=>It(r)})};var x2={kernelName:ss,gradFunc:r=>({x:()=>It(r)})};var y2={kernelName:is,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{alpha:o}=e,s=Fe(n,0);return{x:()=>_e(s,r,D(r,o))}}};var b2={kernelName:Aa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,Y(e,1))}}};var w2={kernelName:as,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,J(e,"float32"))}}};var C2={kernelName:f1,inputsToSave:[],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e;return{logits:()=>{let i=sr(n);return lt(r,D(mt(r,o,!0),i))}}}};function N5(r,t,e,n=5,o=1,s=1,i=.5){let a={x:r,y:t,dy:e},u={depthRadius:n,bias:o,alpha:s,beta:i};return k.runKernel(Tp,a,u)}var I2=T({localResponseNormalizationBackprop_:N5});var v2={kernelName:Ol,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{depthRadius:s,bias:i,alpha:a,beta:u}=e;return{x:()=>I2(n,o,r,s,i,a,u)}}};function wy(r,t,e,n){return t.rankD(r,J(Dr(e,t),r.dtype))}}var wS={kernelName:ls,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{reductionIndices:o}=n,s=t[0],i=t[1],a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var S2={kernelName:us,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(un(e,n),"float32")),b:()=>D(r,J(sm(e,n),"float32"))}}};function T5(r,t,e,n,o,s,i){let a=v(r,"dy","maxPool3dGrad"),u=v(t,"input","maxPool3dGrad"),l=v(e,"output","maxPool3dGrad"),c=a,p=u,m=l,f=!1;u.rank===4&&(f=!0,c=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),p=R(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),m=R(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(c.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),E(p.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${p.rank}.`),E(m.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${m.rank}.`),ve("maxPool3dGrad",s,i);let d={dy:c,input:p,output:m},h={filterSize:n,strides:o,pad:s,dimRoundingMode:i},g=k.runKernel(Ep,d,h);return f?R(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}var N2=T({maxPool3dGrad_:T5});var T2={kernelName:Pl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=e;return{x:()=>N2(r,n,o,s,i,a,u)}}};function k5(r,t,e,n,o,s,i){let a=v(r,"dy","maxPoolGrad"),u=v(t,"input","maxPoolGrad"),l=v(e,"output","maxPoolGrad");E(u.rank===a.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${a.rank})`),E(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),E(u.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${u.rank}.`),ve("maxPoolGrad",s,i);let c={dy:a,input:u,output:l},p={filterSize:n,strides:o,pad:s,dimRoundingMode:i};return k.runKernel(kp,c,p)}var k2=T({maxPoolGrad_:k5});var E2={kernelName:cs,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n,o]=t,{filterSize:s,strides:i,pad:a}=e;return{x:()=>k2(r,n,o,s,i,a)}}};var _2={kernelName:ps,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=pr(o,n.shape),a=H0(n.shape,s)[1],u=Jt(a);return{x:()=>{let c=n.shape.slice();s.forEach(f=>{c[f]=1});let p=R(r,c);return ut(D(p,fr(n.shape,"float32")),u)}}}};var A2={kernelName:ms,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(r,t,e)=>{let n=e,{axis:o}=n,[s,i]=t,a=pr(o,s.shape),u=wy(r,i,s,a);return{x:()=>u.x()}}};var $2={kernelName:fs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t;return{a:()=>D(r,J(Mn(e,n),"float32")),b:()=>D(r,J(Fe(e,n),"float32"))}}};var D2={kernelName:ds,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var R2={kernelName:Fa,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=xe(e.shape,o);return a.length>0?R(mt(r,a),e.shape):r},b:()=>{let a=D(r,qt(Li(ut(e,n)))),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var F2={kernelName:hs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=D(r,J(n,"float32")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=xe(n.shape,o);return u.length>0?R(mt(a,u),n.shape):a}}}};var O2={kernelName:fi,gradFunc:r=>({x:()=>qt(r)})};var P2={kernelName:gs,inputsToSave:["indices"],gradFunc:(r,t)=>{let e=t[0];return{indices:()=>Te(e.shape,"float32")}}};var L2={kernelName:di,gradFunc:r=>({x:()=>It(r)})};var M2={kernelName:hi,saveAllInputs:!0,gradFunc:(r,t,e)=>{let{axis:n}=e;return gr(r,n).map(s=>()=>s)}};var CS={kernelName:xs,inputsToSave:["x"],gradFunc:(r,t,e)=>{let n=t[0],{paddings:o}=e,s=o.map(i=>i[0]);return{x:()=>Rt(r,s,n.shape)}}};var z2={kernelName:ys,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(r,t)=>{let[e,n,o]=t,s=e,i=n,a=Ot(s.shape,i.shape);return{a:()=>{let c=J(i,"float32"),p=D(r,D(c,ln(s,lt(c,pt(1))))),m=xe(s.shape,a);return m.length>0&&(p=mt(p,m)),R(p,s.shape)},b:()=>{let c=Fe(s,0),p=_e(c,Nr(s),It(s)),m=D(r,D(o,p)),f=xe(i.shape,a);return f.length>0&&(m=mt(m,f)),R(m,i.shape)}}}};var B2={kernelName:bs,inputsToSave:["x","alpha"],gradFunc:(r,t)=>{let[e,n]=t,o=Fe(e,0);return{x:()=>_e(o,r,D(r,n)),alpha:()=>{let s=_e(o,It(r),D(r,e)),i=xe(n.shape,r.shape);return i.length>0&&(s=mt(s,i)),R(s,n.shape)}}}};function E5(r,t,e){let n=r.shape.slice();n[e]=1;let o=R(t,n),s=Uu(r,e,!0,!1),i=Uu(r,e,!0,!0),a=D(s,i);return D(o,a)}function _5(r,t,e){let n=r.shape.length,o=n-e.length,s=S.getAxesPermutation(e,n),i=r;s!=null&&(i=Pt(r,s));let a=i.shape.slice(),l=a.splice(n-e.length,e.length).reduce((m,f)=>m*f,1);a.push(l);let c=i.reshape(a),p=E5(c,t,o);if(p=p.reshape(i.shape),s!=null){let m=S.getUndoAxesPermutation(s);p=Pt(p,m)}return p}var V2={kernelName:ws,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{axis:o}=e,s=[];return o==null?s=n.shape.map((i,a)=>a):typeof o=="number"?s=[o]:s=o,{x:()=>_5(n,r,s)}}};var G2={kernelName:Jo,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=ut(r,J(n,"float32")),u=xe(e.shape,o);return u.length>0?R(mt(a,u),e.shape):a},b:()=>{let a=D(r,J(e,"float32")),u=xe(n.shape,o);u.length>0&&(a=R(mt(a,u),n.shape));let l=zt(n);return qt(ut(a,J(l,"float32")))}}}};var W2={kernelName:Cs,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,qt(zt(e)))}}};var U2={kernelName:Ns,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t,n=D(Mn(e,6),wo(e));return{x:()=>D(r,J(n,"float32"))}}};var H2={kernelName:Is,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,J(wo(e),"float32"))}}};var q2={kernelName:gi,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>R(r,e.shape)}}};var K2={kernelName:Ss,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Pp,o,e)}}};var j2={kernelName:vs,inputsToSave:["images"],gradFunc:(r,t,e)=>{let[n]=t,o={dy:r,images:n};return{images:()=>k.runKernel(Op,o,e)}}};var X2={kernelName:Ts,gradFunc:(r,t,e)=>{let{dims:n}=e,o=pr(n,r.shape);return{x:()=>dr(r,o)}}};var Y2={kernelName:ks,gradFunc:r=>({x:()=>It(r)})};var Z2={kernelName:Es,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>qt(ut(r,D(ln(e,1.5),2)))}}};var J2={kernelName:xi,inputsToSave:["condition"],gradFunc:(r,t)=>{let[e]=t;return{condition:()=>J(It(e),"float32"),t:()=>D(r,J(e,r.dtype)),e:()=>D(r,J(nu(e),r.dtype))}}};var Q2={kernelName:Ba,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Fe(e,pt(0)),o=pt(gS),s=pt(xS),i=D(r,s),a=D(D(r,o),sr(J(e,"float32")));return _e(n,i,a)}}}};var t$={kernelName:As,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(e,lt(pt(1),e)))}}};var e$={kernelName:Ga,gradFunc:r=>({x:()=>It(r)})};var r$={kernelName:_s,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(Ql(J(e,"float32")),r)}}};var n$={kernelName:Va,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(nm(J(e,"float32")),r)}}};var o$={kernelName:yi,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{begin:o,size:s}=e,i=n.shape,[a,u]=hS(n,o,s),l=[];for(let c=0;cpn(r,l)}}};var s$={kernelName:Rs,outputsToSave:[!0],gradFunc:(r,t,e)=>{let[n]=t,{dim:o}=e,s=!0,i=D(r,n);return{logits:()=>lt(i,D(mt(i,[o],s),n))}}};var i$={kernelName:Wa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,Qr(e))}}};var IS={kernelName:bi,gradFunc:(r,t,e)=>{let{blockShape:n,paddings:o}=e;return{x:()=>Jl(r,n,o)}}};var vS={kernelName:wi,gradFunc:(r,t,e)=>{let{axis:n}=e;return{x:()=>oe(r,n)}}};var a$={kernelName:$s,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,D(Se(J(e,"float32")),2))}}};var l$={kernelName:Vl,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(r,D(J(e,"float32"),2))}}};var u$={kernelName:Fs,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=pt(2);return{a:()=>D(r,D(o,lt(e,n))),b:()=>D(r,D(o,lt(n,e)))}}};var c$={kernelName:mo,gradFunc:r=>({x:()=>It(r)})};var p$={kernelName:Os,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=Ot(e.shape,n.shape);return{a:()=>{let a=r,u=xe(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=xe(n.shape,o);return u.length>0&&(a=mt(a,u)),R(qt(a),n.shape)}}}};var m$={kernelName:Ds,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,o=n.shape.slice(),{axis:s}=e;pr(s,n.shape).forEach(l=>{o[l]=1});let a=R(r,o),u=D(a,fr(n.shape,"float32"));return{x:()=>u}}};var f$={kernelName:Ps,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ut(r,zt(Ql(e)))}}};var d$={kernelName:Ls,outputsToSave:[!0],gradFunc:(r,t)=>{let[e]=t;return{x:()=>D(lt(pt(1),zt(e)),r)}}};var h$={kernelName:Qn,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{reps:o}=e;return{x:()=>{let i=It(n);if(n.rank===1)for(let a=0;a{let n=e,{perm:o}=n,s=lh(o);return{x:()=>Pt(r,s)}}};var x$={kernelName:Ci,gradFunc:(r,t,e)=>{let n=e,{axis:o}=n;return{value:()=>qe(r,o)}}};var y$={kernelName:Hl,inputsToSave:["segmentIds"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>A5(r,e)}}};function A5(r,t){let e=Sn(t,It(t)),n=Mi(r,e),o=un(t,pt(0,"int32")),s=n.rank-o.rank;for(let a=0;a({x:()=>It(r)})};var $5=[by,SA,NA,TA,kA,EA,_A,AA,$A,DA,RA,FA,PA,MA,zA,BA,VA,GA,WA,UA,HA,qA,jA,KA,YA,ZA,JA,QA,t2,e2,G2,r2,n2,o2,s2,i2,l2,a2,u2,m2,f2,d2,h2,g2,x2,y2,b2,w2,C2,v2,wS,wS,S2,T2,E2,_2,A2,$2,D2,R2,F2,O2,P2,L2,M2,CS,CS,z2,B2,V2,W2,U2,H2,q2,K2,j2,X2,Y2,Z2,J2,Q2,t$,e$,r$,n$,o$,s$,i$,IS,IS,vS,vS,a$,u$,l$,c$,p$,m$,f$,d$,h$,g$,x$,y$,b$];for(let r of $5)h1(r);O().prototype.abs=function(){return this.throwIfDisposed(),Ee(this)};O().prototype.acos=function(){return this.throwIfDisposed(),tx(this)};O().prototype.acosh=function(){return this.throwIfDisposed(),ex(this)};O().prototype.add=function(r){return this.throwIfDisposed(),Y(this,r)};O().prototype.all=function(r,t){return this.throwIfDisposed(),Jp(this,r,t)};O().prototype.any=function(r,t){return this.throwIfDisposed(),Gu(this,r,t)};O().prototype.argMax=function(r){return this.throwIfDisposed(),Ai(this,r)};O().prototype.argMin=function(r){return this.throwIfDisposed(),rx(this,r)};O().prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,()=>"The array must have only 1 element."),R(this,[])};O().prototype.asType=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.as1D=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.as2D=function(r,t){return this.throwIfDisposed(),R(this,[r,t])};O().prototype.as3D=function(r,t,e){return this.throwIfDisposed(),R(this,[r,t,e])};O().prototype.as4D=function(r,t,e,n){return this.throwIfDisposed(),R(this,[r,t,e,n])};O().prototype.as5D=function(r,t,e,n,o){return this.throwIfDisposed(),R(this,[r,t,e,n,o])};O().prototype.asin=function(){return this.throwIfDisposed(),nx(this)};O().prototype.asinh=function(){return this.throwIfDisposed(),ox(this)};O().prototype.atan=function(){return this.throwIfDisposed(),sx(this)};O().prototype.atan2=function(r){return this.throwIfDisposed(),ix(this,r)};O().prototype.atanh=function(){return this.throwIfDisposed(),ax(this)};O().prototype.avgPool=function(r,t,e,n){return this.throwIfDisposed(),Zl(this,r,t,e,n)};O().prototype.batchToSpaceND=function(r,t){return this.throwIfDisposed(),Jl(this,r,t)};O().prototype.batchNorm=function(r,t,e,n,o){return this.throwIfDisposed(),Ri(this,r,t,e,n,o)};O().prototype.broadcastTo=function(r){return this.throwIfDisposed(),Fi(this,r)};O().prototype.cast=function(r){return this.throwIfDisposed(),J(this,r)};O().prototype.ceil=function(){return this.throwIfDisposed(),fx(this)};O().prototype.clipByValue=function(r,t){return this.throwIfDisposed(),vr(this,r,t)};O().prototype.concat=function(r,t){return this.throwIfDisposed(),r instanceof Ft&&(r=[r]),oe([this,...r],t)};O().prototype.conv1d=function(r,t,e,n,o,s){return this.throwIfDisposed(),tm(this,r,t,e,n,o,s)};O().prototype.conv2dTranspose=function(r,t,e,n,o){return this.throwIfDisposed(),rm(this,r,t,e,n,o)};O().prototype.conv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),vn(this,r,t,e,n,o,s)};O().prototype.cos=function(){return this.throwIfDisposed(),Ql(this)};O().prototype.cosh=function(){return this.throwIfDisposed(),nm(this)};O().prototype.cumprod=function(r,t,e){return this.throwIfDisposed(),Uu(this,r,t,e)};O().prototype.cumsum=function(r,t,e){return this.throwIfDisposed(),om(this,r,t,e)};O().prototype.depthToSpace=function(r,t){return this.throwIfDisposed(),Cx(this,r,t)};O().prototype.depthwiseConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),Oi(this,r,t,e,n,o,s)};O().prototype.dilation2d=function(r,t,e,n,o){return this.throwIfDisposed(),Ix(this,r,t,e,n,o)};O().prototype.divNoNan=function(r){return this.throwIfDisposed(),vx(this,r)};O().prototype.div=function(r){return this.throwIfDisposed(),ut(this,r)};O().prototype.dot=function(r){return this.throwIfDisposed(),Sx(this,r)};O().prototype.elu=function(){return this.throwIfDisposed(),Pi(this)};O().prototype.equal=function(r){return this.throwIfDisposed(),Dr(this,r)};O().prototype.erf=function(){return this.throwIfDisposed(),Nx(this)};O().prototype.euclideanNorm=function(r,t){return this.throwIfDisposed(),Tx(this,r,t)};O().prototype.exp=function(){return this.throwIfDisposed(),sr(this)};O().prototype.expandDims=function(r){return this.throwIfDisposed(),ir(this,r)};O().prototype.expm1=function(){return this.throwIfDisposed(),kx(this)};O().prototype.fft=function(){return this.throwIfDisposed(),lu(this)};O().prototype.flatten=function(){return this.throwIfDisposed(),R(this,[this.size])};O().prototype.floor=function(){return this.throwIfDisposed(),Li(this)};O().prototype.floorDiv=function(r){return this.throwIfDisposed(),Zp(this,r)};O().prototype.gather=function(r,t){return this.throwIfDisposed(),Mi(this,r,t)};O().prototype.greaterEqual=function(r){return this.throwIfDisposed(),un(this,r)};O().prototype.greater=function(r){return this.throwIfDisposed(),Fe(this,r)};O().prototype.ifft=function(){return this.throwIfDisposed(),el(this)};O().prototype.irfft=function(){return this.throwIfDisposed(),ym(this)};O().prototype.isFinite=function(){return this.throwIfDisposed(),Ex(this)};O().prototype.isInf=function(){return this.throwIfDisposed(),_x(this)};O().prototype.isNaN=function(){return this.throwIfDisposed(),Ax(this)};O().prototype.leakyRelu=function(r){return this.throwIfDisposed(),eu(this,r)};O().prototype.lessEqual=function(r){return this.throwIfDisposed(),Mn(this,r)};O().prototype.less=function(r){return this.throwIfDisposed(),sm(this,r)};O().prototype.localResponseNormalization=function(r,t,e,n){return this.throwIfDisposed(),$x(this,r,t,e,n)};O().prototype.logSigmoid=function(){return this.throwIfDisposed(),Fx(this)};O().prototype.logSoftmax=function(r){return this.throwIfDisposed(),im(this,r)};O().prototype.logSumExp=function(r,t){return this.throwIfDisposed(),am(this,r,t)};O().prototype.log=function(){return this.throwIfDisposed(),Nr(this)};O().prototype.log1p=function(){return this.throwIfDisposed(),ru(this)};O().prototype.logicalAnd=function(r){return this.throwIfDisposed(),Fr(this,r)};O().prototype.logicalNot=function(){return this.throwIfDisposed(),nu(this)};O().prototype.logicalOr=function(r){return this.throwIfDisposed(),lm(this,r)};O().prototype.logicalXor=function(r){return this.throwIfDisposed(),Ox(this,r)};O().prototype.matMul=function(r,t,e){return this.throwIfDisposed(),Mt(this,r,t,e)};O().prototype.maxPool=function(r,t,e,n){return this.throwIfDisposed(),ou(this,r,t,e,n)};O().prototype.max=function(r,t){return this.throwIfDisposed(),Sr(this,r,t)};O().prototype.maximum=function(r){return this.throwIfDisposed(),Sn(this,r)};O().prototype.mean=function(r,t){return this.throwIfDisposed(),Ne(this,r,t)};O().prototype.min=function(r,t){return this.throwIfDisposed(),Ja(this,r,t)};O().prototype.minimum=function(r){return this.throwIfDisposed(),zi(this,r)};O().prototype.mirrorPad=function(r,t){return this.throwIfDisposed(),Mx(this,r,t)};O().prototype.mod=function(r){return this.throwIfDisposed(),zx(this,r)};O().prototype.mul=function(r){return this.throwIfDisposed(),D(this,r)};O().prototype.neg=function(){return this.throwIfDisposed(),qt(this)};O().prototype.norm=function(r,t,e){return this.throwIfDisposed(),Qa(this,r,t,e)};O().prototype.notEqual=function(r){return this.throwIfDisposed(),Gs(this,r)};O().prototype.oneHot=function(r,t=1,e=0){return this.throwIfDisposed(),Bi(this,r,t,e)};O().prototype.onesLike=function(){return this.throwIfDisposed(),wr(this)};O().prototype.pad=function(r,t){return this.throwIfDisposed(),pn(this,r,t)};O().prototype.pool=function(r,t,e,n,o,s){return this.throwIfDisposed(),Bx(this,r,t,e,n,o,s)};O().prototype.pow=function(r){return this.throwIfDisposed(),ln(this,r)};O().prototype.prelu=function(r){return this.throwIfDisposed(),iu(this,r)};O().prototype.prod=function(r,t){return this.throwIfDisposed(),Vx(this,r,t)};O().prototype.reciprocal=function(){return this.throwIfDisposed(),Kx(this)};O().prototype.relu=function(){return this.throwIfDisposed(),Or(this)};O().prototype.relu6=function(){return this.throwIfDisposed(),um(this)};O().prototype.reshapeAs=function(r){return this.throwIfDisposed(),R(this,r.shape)};O().prototype.reshape=function(r){return this.throwIfDisposed(),R(this,r)};O().prototype.resizeBilinear=function(r,t,e){return this.throwIfDisposed(),py(this,r,t,e)};O().prototype.resizeNearestNeighbor=function(r,t,e){return this.throwIfDisposed(),my(this,r,t,e)};O().prototype.reverse=function(r){return this.throwIfDisposed(),dr(this,r)};O().prototype.rfft=function(){return this.throwIfDisposed(),uu(this)};O().prototype.round=function(){return this.throwIfDisposed(),cm(this)};O().prototype.rsqrt=function(){return this.throwIfDisposed(),pm(this)};O().prototype.selu=function(){return this.throwIfDisposed(),mm(this)};O().prototype.separableConv2d=function(r,t,e,n,o,s){return this.throwIfDisposed(),fm(this,r,t,e,n,o,s)};O().prototype.sigmoid=function(){return this.throwIfDisposed(),Qr(this)};O().prototype.sign=function(){return this.throwIfDisposed(),jx(this)};O().prototype.sin=function(){return this.throwIfDisposed(),dm(this)};O().prototype.sinh=function(){return this.throwIfDisposed(),hm(this)};O().prototype.slice=function(r,t){return this.throwIfDisposed(),Rt(this,r,t)};O().prototype.softmax=function(r){return this.throwIfDisposed(),au(this,r)};O().prototype.softplus=function(){return this.throwIfDisposed(),Vs(this)};O().prototype.spaceToBatchND=function(r,t){return this.throwIfDisposed(),su(this,r,t)};O().prototype.split=function(r,t){return this.throwIfDisposed(),hr(this,r,t)};O().prototype.sqrt=function(){return this.throwIfDisposed(),Se(this)};O().prototype.square=function(){return this.throwIfDisposed(),zt(this)};O().prototype.squaredDifference=function(r){return this.throwIfDisposed(),bm(this,r)};O().prototype.squeeze=function(r){return this.throwIfDisposed(),zn(this,r)};O().prototype.stack=function(r,t){this.throwIfDisposed();let e=r instanceof Ft?[this,r]:[this,...r];return qe(e,t)};O().prototype.step=function(r){return this.throwIfDisposed(),wo(this,r)};O().prototype.stridedSlice=function(r,t,e,n,o,s,i,a){return this.throwIfDisposed(),Xx(this,r,t,e,n,o,s,i,a)};O().prototype.sub=function(r){return this.throwIfDisposed(),lt(this,r)};O().prototype.sum=function(r,t){return this.throwIfDisposed(),mt(this,r,t)};O().prototype.tan=function(){return this.throwIfDisposed(),Yx(this)};O().prototype.tanh=function(){return this.throwIfDisposed(),Di(this)};O().prototype.tile=function(r){return this.throwIfDisposed(),Rr(this,r)};O().prototype.toBool=function(){return this.throwIfDisposed(),J(this,"bool")};O().prototype.toFloat=function(){return this.throwIfDisposed(),J(this,"float32")};O().prototype.toInt=function(){return this.throwIfDisposed(),J(this,"int32")};O().prototype.topk=function(r,t){return this.throwIfDisposed(),Jx(this,r,t)};O().prototype.transpose=function(r){return this.throwIfDisposed(),Pt(this,r)};O().prototype.unique=function(r){return this.throwIfDisposed(),Qx(this,r)};O().prototype.unsortedSegmentSum=function(r,t){return this.throwIfDisposed(),Cm(this,r,t)};O().prototype.unstack=function(r){return this.throwIfDisposed(),gr(this,r)};O().prototype.where=function(r,t){return this.throwIfDisposed(),_e(r,this,t)};O().prototype.zerosLike=function(){return this.throwIfDisposed(),It(this)};var Nn=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Nn.prototype)}},Kr=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,Kr.prototype)}},z=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,z.prototype)}},vt=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vt.prototype)}},vm=class extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vm.prototype)}};var bh=class{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){let n=this.cache.keys().next().value;this.cache.delete(n)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}var Io={};function Sm(r){if(r==null)return null;let t={};return t.className=r.getClassName(),t.config=r.getConfig(),t}function SS(r){if(!(r==null||typeof r!="object"))if(Array.isArray(r))r.forEach(t=>SS(t));else{let t=Object.keys(r);for(let e of t){let n=r[e];n!=null&&typeof n=="object"&&(!Array.isArray(n)&&n.type==="ndarray"&&typeof n.value=="number"?r[e]=n.value:SS(n))}}}function Hi(r,t={},e={},n="object",o=!1){if(typeof r=="string"){let s=r,i;if(s in e)i=e[s];else if(s in Io)i=Io[s];else if(i=t[s],i==null)throw new z(`Unknown ${n}: ${r}. This may be due to one of the following reasons: @@ -38,12 +38,12 @@ Manifest JSON has weights with names: ${a.join(", ")}.`)}let u=o.reduce((f,d,h)= 'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in Io?[a,u]=Io.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons: 1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code. 2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(Io))l[f]=Io[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},Io);for(let f of Object.keys(e))Io[f]=e[f];SS(s.config);let m=u(a,s.config,e,o);return Io=Object.assign({},p),m}else{let l=Object.assign({},Io);for(let p of Object.keys(e))Io[p]=e[p];let c=new a(s.config);return Io=Object.assign({},l),c}}}function D5(r,t){return rt?1:0}function wh(r,t){return-1*D5(r,t)}function No(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function w$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function qi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Cy(r,t,e=0,n=1/0){return so(e>=0),so(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Qe(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Qe(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${C$(r)}.`)}function C$(r){return r===null?"null":Array.isArray(r)?"["+r.map(t=>C$(t)).join(",")+"]":typeof r=="string"?`"${r}"`:`${r}`}function I$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n0){let e=`${r}_${t}`;return Nm.set(e,1),e}else return r}var O5=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function A$(r){return!!r.match(O5)}function $$(r){return r===parseInt(r.toString(),10)}function To(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;ot&&(t=n)}return t}function fn(r,t){if(t{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=il(r,1);return Ey(e,[1,t,1])})}function R$(r){let t=[To(r.shape)];return R(r,t)}function F$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],To(r.shape,1)];return R(r,t)}function sl(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[t,0],[e,r.shape[1]]);case 3:return xm(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return Yu(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Rt(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]]);case 6:return Rt(r,[t,0,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4],r.shape[5]]);default:throw new z(`sliceAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}})}function ES(r,t,e){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:return ph(r,[0,t],[r.shape[0],e]);case 3:return xm(r,[0,0,t],[r.shape[0],r.shape[1],e]);case 4:return Yu(r,[0,0,0,t],[r.shape[0],r.shape[1],r.shape[2],e]);default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Ih(r,t,e,n){return B(()=>{switch(r.rank){case 1:return gm(r,t,e);case 2:switch(n){case 1:return sl(r,t,e);case 2:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 3:switch(n){case 1:return sl(r,t,e);case 2:return xm(r,[0,t,0],[r.shape[0],e,r.shape[2]]);case 3:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}case 4:switch(n){case 1:return sl(r,t,e);case 2:return Yu(r,[0,t,0,0],[r.shape[0],e,r.shape[2],r.shape[3]]);case 3:return Yu(r,[0,0,t,0],[r.shape[0],r.shape[1],e,r.shape[3]]);case 4:return ES(r,t,e);default:throw new z(`The axis is not within the rank of the tensor ${n}`)}default:throw new z(`sliceAlongLastAxis() received an unsupported tensor rank: ${r.rank}`)}})}function Tm(r,t=-1){let e;return t<0&&(e=r[0].rank,e!==0?t=e:t=0),t===r[0].rank&&(t=-1),oe(r,t)}function AS(r,t){switch(r.rank){case 1:return dx([r,t]);case 2:return hx([r,t],0);case 3:return gx([r,t],0);case 4:return xx([r,t],0);default:throw new z(`concatAlongFirstAxis() received an unsupported tensor rank: ${r.rank}`)}}function Ey(r,t){if(Array.isArray(t)||(t=[t]),r.rank!==t.length)throw new z(`The length of input n (${t.length}) does not match the number of dimensions in input x (${r.rank})`);return Rr(r,t)}function km(r,t=0,e=1,n,o){return Xu(r,t,e,n,o)}function ko(r,t,e,n){if(r.rank<2||t.rank<2)throw new vt(`dot requires both inputs to be rank >= 2 but got x shape = ${r.shape} and y shape = ${t.shape}`);if(t.rank>=3){let o=r.shape.slice(-1)[0],s=t.shape.slice(-2)[0];if(o!==s)throw new vt(`If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = ${r.shape} and y shape = ${t.shape}`)}if(r.rank===2&&t.rank===2)return cu.matMul({a:r,b:t,transposeA:!1,transposeB:!1,bias:n?_S(r.rank,n,dn()):null,activation:e});{let o=r.shape.slice(),s=o.pop();r=R(r,[-1,s]);let i=t.shape.slice(),a=i.pop(),u=i.pop(),l=[...i,a],c=Array.from({length:t.rank},(d,h)=>h===0?t.rank-2:h<=t.rank-2?h-1:h);t=R(Pt(t,c),[u,-1]);let p=[...o,...l],m=!1,f=!1;return R(cu.matMul({a:r,b:t,transposeA:m,transposeB:f,bias:n?_S(r.rank,n,dn()):null,activation:e}),p)}}function _y(r,t,e){return B(()=>(Array.isArray(t)?t=Ke(t,"int32"):t=J(t,"int32"),Mi(r,t,e)))}function cc(r){return D(r,r)}function _S(r,t,e){let n=t.shape;if(t.rank!==1&&t.rank!==r)throw new z(`Unexpected bias dimensions: ${t.rank}; expected it to be 1 or ${r}`);if(r===5){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1,1,1]):R(t,[1,n[3],n[0],n[1],n[2]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===4){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1,1]):R(t,[1,n[2],n[0],n[1]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,1,n[0]]):R(t,[1].concat(n))}else if(r===3){if(e==="channelsFirst")return n.length===1?R(t,[1,n[0],1]):R(t,[1,n[1],n[0]]);if(e==="channelsLast")return n.length===1?R(t,[1,1,n[0]]):R(t,[1].concat(n))}else if(r<3)return t;throw new z(`Unsupported input rank by biasAdd: ${t.rank}`)}function hn(r,t,e){return B(()=>(e==null&&(e=dn()),Oe(e),Y(r,_S(r.rank,t,e))))}function O$(r,t=1){if(t!==1)throw new vt(`Support for alpha values other than 1 (${t}) is not implemented yet.`);return Pi(r)}function P$(r){return B(()=>ut(r,Y(Ee(r),1)))}function Ay(r,t,e,n){return B(()=>nS(r,t,e,n))}function L$(r){return B(()=>{let t=Y(.5,D(.2,r));return vr(t,0,1)})}function mu(r,t,e=!1){return e?r():t()}var M$=["fanIn","fanOut","fanAvg"],z$=["normal","uniform","truncatedNormal"];function P5(r){qi(M$,"FanMode",r)}function L5(r){qi(z$,"Distribution",r)}var gn=class extends Q.Serializable{fromConfigUsesCustomObjects(){return!1}getConfig(){return{}}},Em=class extends gn{apply(t,e){return Te(t,e)}};Em.className="Zeros";Q.registerClass(Em);var fu=class extends gn{apply(t,e){return fr(t,e)}};fu.className="Ones";Q.registerClass(fu);var _m=class extends gn{constructor(t){if(super(),typeof t!="object")throw new z(`Expected argument of type ConstantConfig but got ${t}`);if(t.value===void 0)throw new z(`config must have value set but got ${t}`);this.value=t.value}apply(t,e){return B(()=>D(pt(this.value),fr(t,e)))}getConfig(){return{value:this.value}}};_m.className="Constant";Q.registerClass(_m);var Am=class extends gn{constructor(t){super(),this.DEFAULT_MINVAL=-.05,this.DEFAULT_MAXVAL=.05,this.minval=t.minval||this.DEFAULT_MINVAL,this.maxval=t.maxval||this.DEFAULT_MAXVAL,this.seed=t.seed}apply(t,e){return Vi(t,this.minval,this.maxval,e,this.seed)}getConfig(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}};Am.className="RandomUniform";Q.registerClass(Am);var $m=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`randomNormal does not support dType ${e}.`);return km(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};$m.className="RandomNormal";Q.registerClass($m);var Dm=class extends gn{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`truncatedNormal does not support dType ${e}.`);return wm(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}};Dm.className="TruncatedNormal";Q.registerClass(Dm);var Rm=class extends gn{constructor(t){super(),this.gain=t.gain!=null?t.gain:1}apply(t,e){return B(()=>{if(t.length!==2||t[0]!==t[1])throw new z("Identity matrix initializer can only be used for 2D square matrices.");return D(this.gain,Hu(t[0]))})}getConfig(){return{gain:this.gain}}};Rm.className="Identity";Q.registerClass(Rm);function M5(r,t="channelsLast"){let e,n;if(Oe(t),r.length===2)e=r[0],n=r[1];else if([3,4,5].indexOf(r.length)!==-1){if(t==="channelsFirst"){let o=To(r,2);e=r[1]*o,n=r[0]*o}else if(t==="channelsLast"){let o=To(r,0,r.length-2);e=r[r.length-2]*o,n=r[r.length-1]*o}}else{let o=To(r);e=Math.sqrt(o),n=Math.sqrt(o)}return[e,n]}var jr=class extends gn{constructor(t){if(super(),t.scale<0)throw new z(`scale must be a positive float. Got: ${t.scale}`);this.scale=t.scale==null?1:t.scale,this.mode=t.mode==null?"fanIn":t.mode,P5(this.mode),this.distribution=t.distribution==null?"normal":t.distribution,L5(this.distribution),this.seed=t.seed}apply(t,e){let n=M5(t),o=n[0],s=n[1],i=this.scale;if(this.mode==="fanIn"?i/=Math.max(1,o):this.mode==="fanOut"?i/=Math.max(1,s):i/=Math.max(1,(o+s)/2),this.distribution==="normal"){let a=Math.sqrt(i);if(e=e||"float32",e!=="float32"&&e!=="int32")throw new vt(`${this.getClassName()} does not support dType ${e}.`);return wm(t,0,a,e,this.seed)}else{let a=Math.sqrt(3*i);return Vi(t,-a,a,e,this.seed)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}};jr.className="VarianceScaling";Q.registerClass(jr);var pc=class extends jr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return jr.className}};pc.className="GlorotUniform";Q.registerClass(pc);var mc=class extends jr{constructor(t){super({scale:1,mode:"fanAvg",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return jr.className}};mc.className="GlorotNormal";Q.registerClass(mc);var fc=class extends jr{constructor(t){super({scale:2,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return jr.className}};fc.className="HeNormal";Q.registerClass(fc);var dc=class extends jr{constructor(t){super({scale:2,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return jr.className}};dc.className="HeUniform";Q.registerClass(dc);var hc=class extends jr{constructor(t){super({scale:1,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return jr.className}};hc.className="LeCunNormal";Q.registerClass(hc);var gc=class extends jr{constructor(t){super({scale:1,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return jr.className}};gc.className="LeCunUniform";Q.registerClass(gc);var Fm=class extends gn{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,this.seed!=null)throw new vt("Random seed is not implemented for Orthogonal Initializer yet.")}apply(t,e){return B(()=>{if(t.length<2)throw new vt("Shape must be at least 2D.");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);let n=t[0]>t[1]?[t[1],t[0]]:t,o=km(n,0,1,"float32"),s=iS.gramSchmidt(o);return t[0]>t[1]&&(s=Pt(s)),D(this.gain,s)})}getConfig(){return{gain:this.gain,seed:this.seed}}};Fm.className="Orthogonal";Q.registerClass(Fm);var B$={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function V$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,"initializer")}function ke(r){return Sm(r)}function de(r){if(typeof r=="string"){let t=r in B$?B$[r]:r;if(t==="GlorotNormal")return new mc;if(t==="GlorotUniform")return new pc;if(t==="HeNormal")return new fc;if(t==="HeUniform")return new dc;if(t==="LeCunNormal")return new hc;if(t==="LeCunUniform")return new gc;{let e={};return e.className=t,e.config={},V$(e)}}else return r instanceof gn?r:V$(r)}function $y(r){return Array.isArray(r)&&Array.isArray(r[0])}function Om(r){return r.length===0?[]:Array.isArray(r[0])?r:[r]}function St(r){let t;if(Array.isArray(r)){if(r.length!==1)throw new z(`Expected Tensor length to be 1; got ${r.length}`);t=r[0]}else t=r;return t}function Bt(r){if(Array.isArray(r)&&Array.isArray(r[0])){if(r.length===1)return r=r,r[0];throw new z(`Expected exactly 1 Shape; got ${r.length}`)}else return r}function Pm(r){let t=0;for(let e of r)e.shape.length===0?t+=1:t+=e.shape.reduce((n,o)=>n*o);return t}var W$="Variable",vh=class{constructor(t,e="float32",n=W$,o=!0,s=null){this.dtype=e==null?"float32":e,this.shape=t.shape,this.id=Sy(),n=n==null?W$:n,this.originalName=Ny(n),this.name=Ty(this.originalName),this.trainable_=o,this.constraint=s,this.val=ty(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),B5(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}};function B5(r,t){if(r.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(r.shape)+" vs. "+JSON.stringify(t.shape))}function Sh(r){return r.map(t=>t.read())}function Lm(r){r.forEach(t=>{t[0].write(t[1])})}var be=class{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}},en=class{constructor(t,e,n,o,s,i,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=o,this.callArgs=s,this.outputTensorIndex=a,this.id=Sy(),i!=null&&(this.originalName=Ny(i),this.name=Ty(this.originalName)),this.rank=e.length}},V5=0,al=class{constructor(t,e){this.callArgs=e,this.id=V5++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(let n of t.inboundLayers)n!=null&&n.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){let t=[];for(let e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}},G5=0,kt=class extends Q.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=G5++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){let n=this.getClassName();e=So(n)+"_"+pu(n)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let n;if(t.batchInputShape!=null)n=t.batchInputShape;else if(t.inputShape!=null){let s=null;t.batchSize!=null&&(s=t.batchSize),n=[s].concat(t.inputShape)}this.batchInputShape=n;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o="float32"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+"_ib-"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new Kr(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new z(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Tr(this.getNodeAtIndex(t,"input").inputTensors)}getOutputAt(t){return Tr(this.getNodeAtIndex(t,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use \`getInputAt(nodeIndex)\` instead.`);if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} is not connected, no input to return.`);return Tr(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(this.inboundNodes.length===0)throw new Nn(`Layer ${this.name} has no inbound nodes.`);if(this.inboundNodes.length>1)throw new Nn(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use \`getOutputAt(nodeIndex)\` instead.`);return Tr(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(t){if(t=ye(t),this.inputSpec==null||this.inputSpec.length===0)return;let e=ye(this.inputSpec);if(t.length!==e.length)throw new z(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: ${t}`);for(let n=0;ns.maxNDim)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${s.maxNDim}, found ndim=${i}`);if(s.minNDim!=null&&i=0?a[l]:a[a.length+l];if(c!=null&&[c,null].indexOf(p)===-1)throw new z(`Input ${n} is incompatible with layer ${this.name}: expected axis ${l} of input shape to have value ${c} but got shape ${a}.`)}}if(s.shape!=null)for(let a=0;a{if(!this.built){this.assertInputCompatibility(t);let i=[];for(let a of ye(t))i.push(a.shape);this.build(Tr(i)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),this._refCount===null&&s&&(this._refCount=1)}if(this.assertInputCompatibility(t),s){let i=this.call(t,e),a=ye(i),u=[];for(let l of a)n.indexOf(l)!==-1&&(l=l.clone()),u.push(l);if(i=Tr(u),this.activityRegularizer!=null)throw new vt("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return i}else{let i=W5(t),a=this.computeOutputShape(i),u,l=U5(t);if(this.warnOnIncompatibleInputShape(Array.isArray(t)?i[0]:i),a!=null&&a.length>0&&Array.isArray(a[0])?u=a.map((c,p)=>new en(l,c,this,ye(t),e,this.name,p)):u=new en(l,a,this,ye(t),e,this.name),this.addInboundNode(t,u,null,null,i,a,e),this._refCount++,this.activityRegularizer!=null)throw new vt("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return u}})}warnOnIncompatibleInputShape(t){if(this.batchInputShape!=null)if(t.length!==this.batchInputShape.length)console.warn(`The rank of the input tensor provided (shape: ${JSON.stringify(t)}) does not match that of the batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer ${this.name}`);else{let e=!1;this.batchInputShape.forEach((n,o)=>{n!=null&&t[o]!=null&&t[o]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: ${JSON.stringify(this.batchInputShape)}`)}}get outputShape(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new Nn(`The layer ${this.name} has never been called and thus has no defined output shape.`);let t=[];for(let e of this.inboundNodes){let n=JSON.stringify(e.outputShapes);t.indexOf(n)===-1&&t.push(n)}if(t.length===1){let e=this.inboundNodes[0].outputShapes;return Array.isArray(e)&&Array.isArray(e[0])&&e.length===1?e[0]:e}else throw new Nn(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new Kr(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return Pm(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Sh(t?this.trainableWeights:this.weights)}setWeights(t){B(()=>{let e=this.weights;if(e.length!==t.length)throw new z(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(e.length===0)return;let n=[],o=Sh(e);for(let s=0;ss.apply(c.read())),i==null&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){t==null||Array.isArray(t)&&t.length===0||(t=ye(t),this._losses!==void 0&&this._losses!==null&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(e!=null)if(Array.isArray(e))e.forEach(n=>{if(n!=null)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)});else throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);return null}return e}addInboundNode(t,e,n,o,s,i,a=null){let u=ye(t);e=ye(e),n=ye(n),o=ye(o),s=Om(s),i=Om(i);let l=[],c=[],p=[];for(let m of u)l.push(m.sourceLayer),c.push(m.nodeIndex),p.push(m.tensorIndex);new al({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:u,outputTensors:e,inputMasks:n,outputMasks:o,inputShapes:s,outputShapes:i},a);for(let m=0;mt.dispose()),this.weights.length}assertNotDisposed(){if(this._refCount===0)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(this._refCount===null)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return--this._refCount===0&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}};function W5(r){r=ye(r);let t=[];for(let e of r)t.push(e.shape);return Tr(t)}function U5(r){return"float32"}function $S(r,t,e){if((t==null||e!=null&&e>0)&&(t=r.sourceLayer,e=r.nodeIndex),t.inboundNodes.length===0)return[r];{let n=t.inboundNodes[e];if(n.inboundLayers.length===0)return n.inputTensors;{let o=[];for(let s=0;sd.name),u=[],l=t.names();for(let d of a)l.indexOf(d)!==-1?u.push(t.getValue(d)):u.push(null);n!=null&&(n.maxNumTensors=-1/0,n.minNumTensors=1/0);let c=a.join(",")+"|"+t.names().sort().join(","),p=Ry.get(c),m;if(p==null){let d=q5(i,t);p=d.sorted,m=d.recipientCounts,Ry.put(c,p),Fy.put(c,m)}m={},o||Object.assign(m,Fy.get(c));let f=new Eo(t);for(let d=0;dn.maxNumTensors&&(n.maxNumTensors=F),F0,()=>"Expected at least one fetch, got none");let e=[],n={};if(r.length===1){let o=U$(r[0],t);e=o.sorted,n=o.recipientMap}else{let o=new Set;for(let s of r){let{sorted:i,recipientMap:a}=U$(s,t);for(let u of i)o.has(u.name)||(e.push(u),o.add(u.name));for(let u in a)n[u]==null&&(n[u]=new Set),a[u].forEach(l=>n[u].add(l))}}return{sorted:e,recipientCounts:K5(n)}}function K5(r){let t={};for(let e in r)t[e]=r[e].size;return t}function U$(r,t){let e=new Set,n=[],o={};for(let a of t.names())e.add(a);let s=[],i=[];for(s.push(r);s.length>0;){let a=s[s.length-1];if(e.has(a.name)){s.pop();continue}let u=i[i.length-1]===s.length-1;if(a.inputs.length===0||u)s.pop(),n.push(a),e.add(a.name),u&&i.pop();else{i.push(s.length-1);for(let l of a.inputs)o[l.name]==null&&(o[l.name]=new Set),o[l.name].add(a.name),!e.has(l.name)&&s.push(l)}}return{sorted:n,recipientMap:o}}function j5(r){let t;if(r.sourceLayer.inboundNodes.length===1)t=r.sourceLayer.output;else{let e=null;for(let n=0;n100,H$);var j$={};Ut(j$,{maxNorm:()=>Y5,minMaxNorm:()=>Q5,nonNeg:()=>J5,unitNorm:()=>Z5});function DS(r,t){return B(()=>Se(mt(D(r,r),t,!0)))}var yc=class extends Q.Serializable{getConfig(){return{}}},Mm=class extends yc{constructor(t){super(),this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=vr(e,0,this.maxValue);return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Mm.className="MaxNorm";Q.registerClass(Mm);var zm=class extends yc{constructor(t){super(),this.defaultAxis=0,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>ut(t,Y(ur(),DS(t,this.axis))))}getConfig(){return{axis:this.axis}}};zm.className="UnitNorm";Q.registerClass(zm);var Bm=class extends yc{apply(t){return Or(t)}};Bm.className="NonNeg";Q.registerClass(Bm);var Vm=class extends yc{constructor(t){super(),this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=t.minValue!=null?t.minValue:this.defaultMinValue,this.maxValue=t.maxValue!=null?t.maxValue:this.defaultMaxValue,this.rate=t.rate!=null?t.rate:this.defaultRate,this.axis=t.axis!=null?t.axis:this.defaultAxis}apply(t){return B(()=>{let e=DS(t,this.axis),n=Y(D(this.rate,vr(e,this.minValue,this.maxValue)),D(1-this.rate,e));return D(t,ut(n,Y(ur(),e)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Vm.className="MinMaxNorm";Q.registerClass(Vm);var q$={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Be(r){return Sm(r)}function K$(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,"constraint")}function Ve(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in q$?q$[r]:r,config:{}};return K$(e)}else return r instanceof yc?r:K$(r)}function Y5(r){return new Mm(r)}function Z5(r){return new zm(r)}function J5(){return new Bm}function Q5(r){return new Vm(r)}var X$={};Ut(X$,{constant:()=>r8,glorotNormal:()=>u8,glorotUniform:()=>l8,heNormal:()=>c8,heUniform:()=>p8,identity:()=>i8,leCunNormal:()=>m8,leCunUniform:()=>f8,ones:()=>e8,orthogonal:()=>d8,randomNormal:()=>o8,randomUniform:()=>n8,truncatedNormal:()=>s8,varianceScaling:()=>a8,zeros:()=>t8});function t8(){return new Em}function e8(){return new fu}function r8(r){return new _m(r)}function n8(r){return new Am(r)}function o8(r){return new $m(r)}function s8(r){return new Dm(r)}function i8(r){return new Rm(r)}function a8(r){return new jr(r)}function l8(r){return new pc(r)}function u8(r){return new mc(r)}function c8(r){return new fc(r)}function p8(r){return new dc(r)}function m8(r){return new hc(r)}function f8(r){return new gc(r)}function d8(r){return new Fm(r)}var ED={};Ut(ED,{Layer:()=>kt,RNN:()=>kn,RNNCell:()=>pl,activation:()=>$Y,add:()=>BY,alphaDropout:()=>vZ,average:()=>VY,averagePooling1d:()=>qS,averagePooling2d:()=>KS,averagePooling3d:()=>jS,avgPool1d:()=>YY,avgPool2d:()=>JY,avgPool3d:()=>tZ,avgPooling1d:()=>ZY,avgPooling2d:()=>QY,avgPooling3d:()=>eZ,batchNormalization:()=>KY,bidirectional:()=>hZ,categoryEncoding:()=>EZ,centerCrop:()=>TZ,concatenate:()=>GY,conv1d:()=>IY,conv2d:()=>vY,conv2dTranspose:()=>SY,conv3d:()=>NY,conv3dTranspose:()=>TY,convLstm2d:()=>pZ,convLstm2dCell:()=>mZ,cropping2D:()=>EY,dense:()=>DY,depthwiseConv2d:()=>AY,dot:()=>qY,dropout:()=>RY,elu:()=>gY,embedding:()=>zY,flatten:()=>OY,gaussianDropout:()=>IZ,gaussianNoise:()=>CZ,globalAveragePooling1d:()=>rZ,globalAveragePooling2d:()=>nZ,globalMaxPool1d:()=>xZ,globalMaxPool2d:()=>yZ,globalMaxPooling1d:()=>SD,globalMaxPooling2d:()=>ND,gru:()=>sZ,gruCell:()=>iZ,input:()=>BS,inputLayer:()=>hY,layerNormalization:()=>jY,leakyReLU:()=>yY,lstm:()=>aZ,lstmCell:()=>lZ,masking:()=>SZ,maxPool1d:()=>bZ,maxPool2d:()=>wZ,maxPooling1d:()=>TD,maxPooling2d:()=>kD,maxPooling3d:()=>oZ,maximum:()=>WY,minimum:()=>UY,multiply:()=>HY,permute:()=>MY,prelu:()=>bY,reLU:()=>xY,repeatVector:()=>PY,rescaling:()=>NZ,reshape:()=>LY,resizing:()=>kZ,rnn:()=>fZ,separableConv2d:()=>kY,simpleRNN:()=>uZ,simpleRNNCell:()=>cZ,softmax:()=>wY,spatialDropout1d:()=>FY,stackedRNNCells:()=>dZ,thresholdedReLU:()=>CY,timeDistributed:()=>gZ,upSampling2d:()=>_Y,zeroPadding2d:()=>XY});async function Ki(r){if(r==null)return;let t=[],e=[],n=[];for(let o in r){let s=r[o];if(typeof s!="number"){let i=s;t.push(i.data()),e.push(o),n.push(i)}}if(t.length>0){let o=await Promise.all(t);for(let s=0;sY(this.totals[o],D(s,n)));this.totals[o]=a,i!=null&&i.dispose()}}}async onEpochEnd(t,e){if(e!=null)for(let n of this.params.metrics)this.totals[n]!=null&&(typeof this.totals[n]=="number"?e[n]=this.totals[n]/this.seen:B(()=>{let o=D(ut(1,this.seen),this.totals[n]);e[n]=o,this.totals[n].dispose(),De(e[n])}))}},Ly=class extends ll{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){e==null&&(e={}),this.epoch.push(t);for(let n in e)this.history[n]==null&&(this.history[n]=[]),this.history[n].push(e[n])}async syncData(){let t=[],e=[],n=[];for(let s in this.history){let i=this.history[s];for(let a=0;anew My(n,t))}var xn=class{constructor(){}static registerCallbackConstructor(t,e){y.assert(t>=0&&Number.isInteger(t),()=>`Verbosity level is expected to be an integer >= 0, but got ${t}`),xn.checkForDuplicate(e),xn.constructors[t]==null&&(xn.constructors[t]=[]),xn.constructors[t].push(e)}static checkForDuplicate(t){for(let e in xn.constructors)xn.constructors[+e].forEach(o=>{if(o===t)throw new z("Duplicate callback constructor.")})}static clear(){xn.constructors={}}static createCallbacks(t){let e=[];for(let n in xn.constructors){let o=+n;t>=o&&e.push(...xn.constructors[o])}return e.map(n=>new n)}};xn.constructors={};function By(r,t,e,n,o,s,i,a,u){let l=new Ly,c=[new RS,...xn.createCallbacks(t)];r!=null&&c.push(...r),c.push(l);let p=new Py(c);return p.setParams({epochs:e,initialEpoch:n,samples:o,steps:s,batchSize:i,verbose:t,doValidation:a,metrics:u}),{callbackList:p,history:l}}function yn(r,t={},e=!1){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,"layer",e)}function Nh(r,t){return B(()=>{r.dtype!=="float32"&&(r=J(r,"float32"));let e=mt(cc(r),t,!0),n=yo(e.shape,ur()),o=Se(Sn(e,n));return ut(r,o)})}function ji(r,t){return B(()=>Ne(cc(lt(t,r)),-1))}function Gm(r,t){return B(()=>Ne(Ee(lt(t,r)),-1))}function du(r,t){return B(()=>{let e=lt(r,t),n=vr(Ee(r),ur(),Number.MAX_VALUE),o=Ee(ut(e,n));return D(100,Ne(o,-1))})}function g8(r,t){return B(()=>{let e=vr(t,ur(),Number.MAX_VALUE),n=Nr(Y(1,e)),o=vr(r,ur(),Number.MAX_VALUE),s=Nr(Y(1,o));return Ne(cc(lt(n,s)),-1)})}function x8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(cc(e),-1)})}function y8(r,t){return B(()=>{let e=Sn(0,lt(1,D(r,t)));return Ne(e,-1)})}function b8(r,t){return B(()=>{let e=mt(D(r,t),-1),n=Sr(D(lt(1,r),t),-1);return Sn(0,Y(1,lt(n,e)))})}function w8(r,t){return B(()=>{let e=Math.log(2),n=lt(t,r),o=lt(Y(n,Vs(D(-2,n))),e);return Ne(o,-1)})}function bc(r,t,e=!1){return B(()=>{if(e)t=au(t);else{let n=mt(t,t.shape.length-1,!0);t=ut(t,n)}return t=vr(t,ur(),1-ur()),qt(mt(D(J(r,"float32"),Nr(t)),t.shape.length-1))})}function Wm(r,t,e=!1){return B(()=>{let n=J(Li(R$(r)),"int32");t=vr(t,ur(),1-ur());let o=t.shape,s=R(Bi(n,o[o.length-1]),o);return bc(s,t,e)})}function C8(r,t){if(!y.arraysEqual(r.shape,t.shape))throw new z(`logits and labels must have the same shape, but got shapes ${JSON.stringify(r.shape)} and ${JSON.stringify(t.shape)}`);return B(()=>{let e=Or(t),n=qt(Ee(t));return Y(lt(e,D(t,r)),ru(sr(n)))})}function Um(r,t){return B(()=>{let e;return e=vr(t,ur(),1-ur()),e=Nr(ut(e,lt(1,e))),Ne(C8(r,e),-1)})}function I8(r,t){return B(()=>{let e=vr(r,ur(),1),n=vr(t,ur(),1);return mt(D(r,Nr(ut(e,n))),-1)})}function v8(r,t){return B(()=>{let e=Nr(Y(ur(),t));return Ne(lt(t,D(r,e)),-1)})}function kh(r,t){return B(()=>{let e=Nh(r,-1),n=Nh(t,-1),o=D(e,n);return qt(mt(o,-1))})}var Th={meanSquaredError:ji,meanAbsoluteError:Gm,meanAbsolutePercentageError:du,meanSquaredLogarithmicError:g8,squaredHinge:x8,hinge:y8,categoricalHinge:b8,logcosh:w8,categoricalCrossentropy:bc,sparseCategoricalCrossentropy:Wm,binaryCrossentropy:Um,kullbackLeiblerDivergence:I8,poisson:v8,cosineProximity:kh};function Vy(r){if(typeof r=="string"){if(r in Th)return Th[r];let t=`Unknown loss ${r}`;throw r.toLowerCase().includes("softmaxcrossentropy")&&(t=`Unknown loss ${r}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new z(t)}else return r}function Eh(r,t){return B(()=>{let e=D(.5,wr(t)),n=tn(Fe(t,e),r.dtype);return Ne(Dr(r,n),-1)})}function _h(r,t){return B(()=>tn(Dr(Ai(r,-1),Ai(t,-1)),"float32"))}function J$(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,1))),"float32"))}function S8(r,t){return B(()=>J(mt(Fr(Dr(r,1),Dr(t,0))),"float32"))}function N8(r,t){return B(()=>J(mt(Fr(Dr(r,0),Dr(t,1))),"float32"))}function FS(r,t){return B(()=>{let e=J$(r,t),n=N8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),"float32")})}function Q$(r,t){return B(()=>{let e=J$(r,t),n=S8(r,t),o=Y(e,n);return J(_e(Fe(o,0),ut(e,o),0),"float32")})}function Wy(r,t){return Um(r,t)}function Uy(r,t){return r.rank===t.rank&&(r=zn(r,[r.rank-1])),t=Ai(t,-1),t.dtype!==r.dtype&&(t=J(t,r.dtype)),J(Dr(r,t),"float32")}var T8=ji,k8=ji,E8=Gm,_8=Gm,A8=du,$8=du,Ah=bc,D8=kh,OS=Wm,Gy={binaryAccuracy:Eh,categoricalAccuracy:_h,precision:FS,categoricalCrossentropy:Ah,sparseCategoricalCrossentropy:OS,mse:T8,MSE:k8,mae:E8,MAE:_8,mape:A8,MAPE:$8,cosine:D8};function tD(r){if(typeof r=="string"&&r in Gy)return Gy[r];if(typeof r!="string"&&r!=null)return r;throw new z(`Unknown metric ${r}`)}function $h(r){if(so(r!==null,`Unknown LossOrMetricFn ${r}`),typeof r=="string")return r;{let t;for(let e of Object.keys(Th))if(Th[e]===r){t=e;break}if(t!==void 0)return t;for(let e of Object.keys(Gy))if(Gy[e]===r){t=e;break}return t!==void 0?t:r.name}}function rD(r){let t={Adagrad:()=>lc.adagrad(.01),Adadelta:()=>lc.adadelta(1,.95,ur()),Adam:()=>lc.adam(.001,.9,.999,ur()),Adamax:()=>lc.adamax(.002,.9,.999,ur(),0),RMSProp:()=>lc.rmsprop(.001,.9,0,ur()),SGD:()=>lc.sgd(.01)};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,r in t)return t[r]();throw new z(`Unknown Optimizer ${r}`)}function LS(r,t,e=!1){if(r==null||typeof r!="object"||Object.getPrototypeOf(r)!==Object.prototype||!PS(r))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(e){let n=JSON.stringify(r);n.length>1048576&&console.warn(`User-defined metadata of model "${t}" is too large in size (length=${n.length} when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= ${1048576}.`)}}function PS(r){if(r===null)return!0;if(typeof r=="object")if(Object.getPrototypeOf(r)===Object.prototype){let t=Object.keys(r);for(let e of t)if(typeof e!="string"||!PS(r[e]))return!1;return!0}else if(Array.isArray(r)){for(let t of r)if(!PS(t))return!1;return!0}else return!1;else{let t=typeof r;return t==="string"||t==="number"||t==="boolean"}}function nD(r,t,e,n=console.log){let o=O8(r),s=["Layer (type)","Input Shape","Output shape","Param #"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(c=>Math.floor(t*c)));let i;if(!o){s.push("Receives inputs"),i=[];for(let c in r.nodesByDepth)i.push(...r.nodesByDepth[c])}n("_".repeat(t)),Hy(s,e,n),n("=".repeat(t));let a=r.layers;for(let c=0;c1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}n.push(...o)}if(t)for(let o of r.layers){let s=!1;for(let i of o.inboundNodes)if(n.indexOf(i)!==-1)if(s){t=!1;break}else s=!0;if(!t)break}return t}function Hy(r,t,e=console.log){let n="";for(let o=0;o0&&(n=n.slice(0,n.length-1)+" "),n+=r[o],n=n.slice(0,t[o]),n+=" ".repeat(t[o]-n.length);e(n)}function P8(r,t,e){let n,o;try{o=r.inboundNodes.map(u=>JSON.stringify(u.inputShapes)).join(",")}catch(u){o="multiple"}try{n=JSON.stringify(r.outputShape)}catch(u){n="multiple"}let s=r.name,i=r.getClassName(),a=[`${s} (${i})`,o,n,r.countParams().toString()];Hy(a,t,e)}function L8(r,t,e,n){let o,s;try{s=r.inboundNodes.map(p=>JSON.stringify(p.inputShapes)).join(",")}catch(p){s="multiple"}try{o=JSON.stringify(r.outputShape)}catch(p){o="multiple"}let i=[];for(let p of r.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(p)===-1))for(let m=0;mb.name)}`);No(this.outputs).length!==this.outputs.length&&console.warn(`The list of outputs passed to the model is redundant. All outputs should only appear once. Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(C),this.outputLayersTensorIndices.push(N)}for(let b of this.inputs){let w=b.sourceLayer,C=b.nodeIndex,N=b.tensorIndex;so(C===0,"input layer has >1 nodes"),so(N===0,"input layer has >1 tensors"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(C),this.inputLayersTensorIndices.push(N)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;bb.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let e={},n={},o={},s={},i={},a=[],u=(b,w,C,N,_,A)=>{(N==null||_==null||A==null)&&(N=b.sourceLayer,_=b.nodeIndex,A=b.tensorIndex);let $=N.inboundNodes[_];if(C.indexOf($)!==-1)throw new Kr(`The tensor ${b.name} at layer "${N.name}" is part of a cycle.`);if(w.indexOf($)!==-1)return;this.containerNodes.add(Bn.nodeKey(N,_)),N.id in i||(i[N.id]=Object.keys(i).length),C.indexOf($)===-1&&C.push($);let F=$.inboundLayers.length;for(let P=0;P=0;)C.splice(C.indexOf($),1);a.push($)},l=[],c=[];for(let b of this.outputs)u(b,l,c);let p=a.slice().reverse();for(let b of p){n[b.id]=b,b.id in e||(e[b.id]=0);let w=e[b.id],C=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,C),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,e[b.id]=w;for(let N=0;NparseInt(b,10)).sort(wh);this.layers=[];for(let b of d){let w=f[b];w.sort((C,N)=>{let _=i[C.id],A=i[N.id];return _A?1:0});for(let C of w)C instanceof Bn&&this.internalContainerRefs.push(C),this.layers.push(C)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(wh);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let C=w.outboundLayer;if(C!=null){for(let N of w.inputTensors)if(h.indexOf(N)===-1)throw new Kr(`Graph disconnected: cannot obtain value for tensor ${N} at layer "${C.name}". The following previous layers were accessed without issue: ${g}`);for(let N of w.outputTensors)h.push(N);g.push(C.name)}}this.nodesByDepth=m;let x=this.layers.map(b=>b.name);for(let b of x){let w=x.filter(C=>C===b).length;if(w!==1)throw new Kr(`The name "${b}" is used ${w} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(x))}this.outboundNodes=[],this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(b=>null),outputMasks:this.outputs.map(b=>null),inputShapes:this.inputs.map(b=>b.shape),outputShapes:this.outputs.map(b=>b.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();let t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(let e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(let e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(n=>n.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new z("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let t=[];for(let e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.layers)e.push(...n.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){let n={},o=0;for(let i of this.layers)for(let a of i.weights){if(n[a.originalName]!=null)throw new z(`Duplicate weight name: ${a.originalName}`);n[a.originalName]=a,o++}let s=[];for(let i in t){let a=i;if(n[i]==null){let u=i.split("/");a=u.slice(0,-2).concat([u[u.length-1]]).join("/")}if(n[a]!=null)s.push([n[a],t[i]]);else if(e)throw new z(`Provided weight data has no target variable: ${i}`);delete n[a]}if(e){let i=[];for(let a in n)i.push(a);if(i.length>0)throw new z(`${i.length} of ${o} weights are not set: ${i}`)}Lm(s)}updatedConfig(){let t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion=`tfjs-layers ${Hm}`,e.backend="TensorFlow.js",e}toJSON(t,e=!0){let n=qy(this.updatedConfig());return e?JSON.stringify(n):n}call(t,e){return B(()=>{t=ye(t);let n=new Eo;for(let o=0;o{t=ye(t);let n;return e==null?n=vo(null,t.length):n=ye(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){let e=Om(t);if(e.length!==this.inputLayers.length)throw new z(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let a=0;aparseInt(a,10)).sort(wh);if(o.length>1)for(let a of o){let u=this.nodesByDepth[a];for(let l of u){let c=l.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;hparseInt(u,10)).sort(wh);for(let u of o){let l=this.nodesByDepth[u];for(let c of l){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[C,N]=d[0];h.mask==null&&(h.mask=N),b=ye(p.call(C,h)),w=ye(p.computeMask(C,N)),g=[C],x=[N]}else g=d.map(C=>C[0]),x=d.map(C=>C[1]),h.mask==null&&(h.mask=x),b=ye(p.call(g,h)),w=ye(p.computeMask(g,x));if(p.activityRegularizer)throw new vt("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let C=0;C{let t=[];for(let e of this.layers)for(let n=0;n0){let h=[];for(let g=0;g0&&g.apply(Tr(b),w)}function l(g){let x=g.name,b=yn(g,e.customObjects!=null?e.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(C=>{if(!(C instanceof Array))throw new z(`Corrupted configuration, expected array for nodeData: ${C}`);a(b,C)})}let c=e.name,p=e.layers;for(let g of p)l(g);for(;!w$(i);)for(let g of p){let x=s[g.name];if(x.name in i){let b=i[x.name];delete i[x.name];for(let w of b)u(x,w)}}let m=[],f=[],d=e.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;m.push(N[w])}let h=e.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];so(x in s);let N=s[x].inboundNodes[b].outputTensors;f.push(N[w])}return new t({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new z("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let t of this.layers)if(t.stateful)return!0;return!1}resetStates(){B(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}};function M8(r,t,e){let n=t.length;if(r==null||Array.isArray(r)&&r.length===0)return t.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r=="object"&&t[0]in r?[r[t[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${e} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r=="object"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]=="object"){let o=[];return t.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${e} must be either an array with ${n} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(r)}`)}function Ky(r,t){return M8(r,t,"classWeight")}async function jy(r,t,e,n){if(t!=null||n!=null)throw new Error("Support sampleWeight is not implemented yet");if(e!=null){let o=B(()=>{if(r.shape.length===1)return an(r);if(r.shape.length===2){if(r.shape[1]>1)return Ai(r,1);if(r.shape[1]===1)return R(r,[r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());Nt(o);let i=[];return s.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),Ke(i,"float32")}else return null}function sD(r,t){return D(r,t)}var z8=32;function lD(r,t){let e,n,o=t;e=o.xs,n=o.ys,y.assert(e!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);let s=iD("input",r.inputNames,e),i=iD("output",r.outputNames,n),a=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs. (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(i.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let u=0;u`Batch size mismatch: input ${r.inputNames[u]} has ${s[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);for(let u=0;u`Batch size mismatch: output ${r.outputNames[u]} has ${i[u].shape[0]}; expected ${a} based on input ${r.inputNames[0]}.`);return{xs:s,ys:i}}function iD(r,t,e){if(e instanceof Ft)return[e];if(Array.isArray(e))return y.assert(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${r} keys ${t}.`),e;{let n=[];for(let o of t){if(e[o]==null)throw new z(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(e[o])}return n}}function B8(r){if(r.length===3)throw new vt("Validation with sample weights is not implemented yet.");return{xs:r[0],ys:r[1]}}async function uD(r,t,e){let n=e.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),y.assert(e!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),y.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),y.assert(!n||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),y.assert(e.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),r.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");r.isTraining=!0;try{let o=e.validationData!=null,s,i;if(o)if(aD(e.validationData))y.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{let g=B8(e.validationData);s=g.xs,i=g.ys}let a=r.makeTrainFunction(),u=r.getDedupedMetricsNames(),l;o?l=u.slice().concat(u.map(g=>"val_"+g)):l=u.slice();let c=zy(e.callbacks,e.yieldEvery),p=e.verbose==null?1:e.verbose,{callbackList:m,history:f}=By(c,p,e.epochs,null,null,V8(t,e),null,o,l);m.setModel(r),r.history=f,await m.onTrainBegin(),r.stopTraining_=!1;let d=e.initialEpoch==null?0:e.initialEpoch,h=await t.iterator();for(;d=e.batchesPerEpoch:w.done){if(o){let C;aD(e.validationData)?C=ye(await r.evaluateDataset(e.validationData,{batches:e.validationBatches})):C=ye(r.evaluate(s,i,{batchSize:e.validationBatchSize==null?z8:e.validationBatchSize,verbose:0}));for(let N=0;N0)throw new vt("Verbose mode is not implemented yet.");y.assert(!n||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);let i=G8(t)?t:await t.iterator(),a=0,u=0;for(;!n||u{if(l.value){let{xs:c,ys:p}=lD(r,l.value),m=c.concat(p),f=B(()=>o(m));if(Nt(m),u===0)for(let h=0;hY(s[h],D(d,g))),u>0&&Nt(x)}Nt(f),a+=d,++u}return s}),l.done){n&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(r),()=>`batchSize is required to be a positive integer, but got ${r}`)}function qm(r,t,e){return r==null?[null]:Array.isArray(r)?r.map(n=>sl(n,t,e-t)):sl(r,t,e-t)}function Yy(r,t){return B(()=>r==null?null:Array.isArray(r)?r.map(e=>Yy(e,t)):_y(r,t.dtype==="int32"?t:J(t,"int32")))}function Zy(r,t){let e=[],n=0,o=null;for(;n=r&&(o=r),e.push([n,o]),n=o;return e}function MS(r){let t=[];r instanceof Ft&&(r=[r]);for(let e=0;ee.push(o.id));else if(t!=null)for(let o in t){let s=t[o];e.push(s.id)}let n=[];if(r instanceof Ft)e.indexOf(r.id)===-1&&n.push(r);else if(Array.isArray(r))r.forEach(o=>{e.indexOf(o.id)===-1&&n.push(o)});else if(r!=null)for(let o in r){let s=r[o];e.indexOf(s.id)===-1&&n.push(s)}n.forEach(o=>{o.isDisposed||o.dispose()})}function W8(r){return r instanceof Ft}function zS(r){return Array.isArray(r)}function pD(r){return!W8(r)&&!zS(r)}function mD(r,t,e,n=!0,o=""){if(t==null||t.length===0){if(r!=null){let i=!1;if(zS(r)&&r.length>0)i=!0;else if(pD(r)){for(let a in r)if(r.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new z(`Error when checking model ${o} expected no data, but got ${r}`)}return[]}if(r==null)return t.map(i=>null);let s;if(pD(r)){r=r,s=[];for(let i of t){if(r[i]==null)throw new z(`No data provided for "${i}". Need data for each key in: ${t}`);s.push(r[i])}}else if(zS(r)){if(r=r,r.length!==t.length)throw new z(`Error when checking model ${o}: the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see ${t.length} Tensor(s), but instead got the following list of Tensor(s): ${r}`);s=r}else{if(r=r,t.length>1)throw new z(`The model ${o} expects ${t.length} Tensor(s), but only received one Tensor. Found: Tensor with shape ${r.shape}`);s=[r]}if(s=MS(s),e!=null)for(let i=0;i=0&&l!==c)throw new z(`${o} expected a batch of elements where each example has shape [${e[i].slice(1,e[i].length)}] (i.e.,tensor shape [*,${e[i].slice(1,e[i].length)}]) but the ${o} received an input with ${a.shape[0]} examples, each with shape [${a.shape.slice(1,a.shape.length)}] (tensor shape [${a.shape}])`)}}return s}function U8(r,t,e){let n=No(r.map(s=>s.shape[0]));n.sort();let o=No(t.map(s=>s.shape[0]));if(o.sort(),n.length>1)throw new z(`All input Tensors (x) should have the same number of samples. Got array shapes: ${JSON.stringify(r.map(s=>s.shape))}`);if(o.length>1)throw new z(`All target Tensors (y) should have the same number of samples. Got array shapes: ${JSON.stringify(t.map(s=>s.shape))}`);if(n.length>0&&o.length>0&&!y.arraysEqual(n,o))throw new z(`Input Tensors should have the same number of samples as target Tensors. Found ${n[0]} input sample(s) and ${o[0]} target sample(s).`)}function H8(r,t,e){let n=[ji,Um,bc];for(let o=0;o1)throw new z(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(r.shape)}.`);s=[r]}if(e!=null)for(let i=0;i[]);let e;if(typeof r=="string"||typeof r=="function")e=[r];else if(Array.isArray(r)||typeof r=="object")e=r;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${r}`);if(Array.isArray(e))return t.map(n=>e);{let n=[];for(let o of t){let s=e.hasOwnProperty(o)?e[o]:[];Array.isArray(s)||(s=[s]),n.push(s)}return n}}var K8="layers-model",Vn=class extends Bn{constructor(t){super(t),this.isTraining=!1}summary(t,e,n=console.log){if(!this.built)throw new z("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");nD(this,t,e,n)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer=="string")this.optimizer_=rD(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Hr))throw new z("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!="string"&&typeof t.loss!="function"){t.loss=t.loss;for(let i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new z(`Unknown entry in loss dictionary: "${i}". Only expected the following keys: ${this.outputNames}`);for(let i of this.outputNames)t.loss[i]==null&&console.warn(`Output "${i}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Vy(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new z(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Vy(a))}else{let i=Vy(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+"_loss"))}});let o=q8(t.metrics,this.outputNames),s=(i,a,u)=>{this.outputNames.length>1&&(a=this.outputNames[i]+"_"+a),this.metricsNames.push(a),this.metricsTensors.push([u,i])};Hs("metric",()=>{for(let i=0;i{let c="",p,m,f;for(let d of l){if(typeof d=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(d)!==-1){let g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===Um?["accuracy","acc"].indexOf(d)!==-1?m=Eh:["crossentropy","ce"].indexOf(d)!==-1&&(m=Wy):this.lossFunctions[i]===Wm?["accuracy","acc"].indexOf(d)!==-1?m=Uy:["crossentropy","ce"].indexOf(d)!==-1&&(m=OS):["accuracy","acc"].indexOf(d)!==-1?m=_h:["crossentropy","ce"].indexOf(d)!==-1&&(m=Ah);let x;["accuracy","acc"].indexOf(d)!==-1?x="acc":["crossentropy","ce"].indexOf(d)!==-1&&(x="ce"),f=m,p=c+x}else f=tD(d),p=c+$h(d);let h;Hs(p,()=>{h=f}),s(i,p,h)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(t,e,n={}){let o=n.batchSize==null?32:n.batchSize;Xy(o);let s=!0,i=this.standardizeUserDataXY(t,e,s,o);try{let a=i[0].concat(i[1]);this.makeTestFunction();let u=this.testFunction,l=this.testLoop(u,a,o,n.verbose,n.steps);return Tr(l)}finally{_o(i[0],t),_o(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),cD(this,t,e)}checkNumSamples(t,e,n,o="steps"){let s;if(n!=null){if(s=null,e!=null)throw new z(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?s=t[0].shape[0]:s=t.shape[0];else throw new z(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return s}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new z("`outputs` is an empty Array, which is not allowed.");let n=Array.isArray(e),o=n?e:[e],s=this.retrieveSymbolicTensors(o),i=new Eo;if(t instanceof Ft&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new z(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let u=0;ua.name);for(let a=0;a0){let o=[];throw e.forEach((s,i)=>{s==null&&o.push(t[i])}),new z(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,n=!1){return B(()=>{let o=this.checkNumSamples(t);if(n)throw new vt("Verbose predictLoop() is not implemented yet.");let s=Zy(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{let l=s[a][0],c=s[a][1],p=qm(t,l,c),m=[];if(Array.isArray(p))for(let d=0;di[c].push(l));return Tr(i.map(a=>oe(a,0)))})}predict(t,e={}){let n=MS(t);fD(n,this.inputNames,this.feedInputShapes,!1);try{let o=e.batchSize==null?32:e.batchSize;return Xy(o),this.predictLoop(n,o)}finally{_o(n,t)}}predictOnBatch(t){fD(t,this.inputNames,this.feedInputShapes,!0);let e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,n=!0,o){if(this.optimizer_==null)throw new Kr("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");let s=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new z(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,n,o,s=!0,i){let[a,u]=this.standardizeUserDataXY(t,e,s,i);if(n!=null)throw new Error("sample weight is not supported yet.");let l=null;if(o!=null){let c=Ky(o,this.outputNames);l=[];for(let p=0;p{let i=this.checkNumSamples(e,n,s,"steps"),a=[];if(o>0)throw new vt("Verbose mode is not implemented yet.");if(s!=null)throw new vt("steps mode in testLoop() is not implemented yet");{let u=Zy(i,n),l=Ke(fn(0,i));for(let c=0;c1){let i=NS(t.slice(0,n),o);s+=`_${i}`}e.push(s)}return e}makeTrainFunction(){return t=>{let e=[],n=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{let p=[];for(let h=0;h1&&h{d=Y(d,h)}),d},u=this.collectedTrainableWeights.map(p=>p.read()),l=!0;return[this.optimizer_.minimize(a,l,u)].concat(i)}}makeTestFunction(){this.testFunction=t=>B(()=>{let e=[],n,o=t.slice(0,this.inputs.length),s=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;l0){if(g=!0,n.validationData.length===2)u=n.validationData[0],l=n.validationData[1];else throw n.validationData.length===3?new vt("validationData including sample weights is not supported yet."):new z(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${n.validationData} is invalid.`);let F=!0,P=await this.standardizeUserData(u,l,null,null,F,f);c=P[0],p=P[1],x=c.concat(p)}else if(n.validationSplit!=null&&n.validationSplit>0&&n.validationSplit<1){g=!0;let F=Math.floor(o[0].shape[0]*(1-n.validationSplit)),P=o[0].shape[0];c=qm(o,F,P),i=o,o=qm(o,0,F),p=qm(s,F,P),a=s,s=qm(s,0,F),x=c.concat(p)}else n.validationSteps!=null&&(g=!0);let b=o.concat(s).concat(m);this.checkTrainableWeightsConsistency();let w=this.makeTrainFunction(),C=this.getDedupedMetricsNames(),N,_;g?(this.makeTestFunction(),N=this.testFunction,_=C.slice().concat(C.map(F=>"val_"+F))):(N=null,x=[],_=C.slice());let A=zy(n.callbacks,n.yieldEvery);return await this.fitLoop(w,b,C,f,n.epochs,n.verbose,A,N,x,n.shuffle,_,n.initialEpoch,null,null)}finally{this.isTraining=!1,_o(o,t),_o(s,e),_o(i,t),_o(a,e),_o(c,u),_o(p,l),m!=null&&Nt(m)}}async fitLoop(t,e,n,o,s,i,a,u,l,c,p,m,f,d){o==null&&(o=32),s==null&&(s=1),c==null&&(c=!0),m==null&&(m=0);let h=!1;if(u!=null&&l!=null&&(h=!0),d!=null&&(h=!0,f==null))throw new z("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");let g=this.checkNumSamples(e,o,f,"steps_per_epoch"),x;g!=null&&(x=fn(0,g)),i==null&&(i=1);let{callbackList:b,history:w}=By(a,i,s,m,g,f,o,h,p);b.setModel(this),this.history=w,await b.onTrainBegin(),this.stopTraining_=!1;for(let C=m;C{let P=A[$][0],V=A[$][1],G=sl(_,P,V-P);F.batch=$,F.size=V-P;let W=Yy(e,G),q=t(W);for(let H=0;HSo(e))}else{let e=Object.keys(this.loss);t={};let n=this.loss;for(let o of e)if(typeof n[o]=="string")t[o]=So(n[o]);else throw new Error("Serialization of non-string loss is not supported.")}return t}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[So($h(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>So($h(t)));{let t={};for(let e in this.metrics)t[e]=So($h(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(t.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(t.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let e=wc(t.optimizer_config),n=yn(e),o;if(typeof t.loss=="string")o=ol(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>ol(i));else if(t.loss!=null){o={};for(let i in t.loss)o[i]=ol(t.loss[i])}let s;if(Array.isArray(t.metrics))s=t.metrics.map(i=>ol(i));else if(t.metrics!=null){s={};for(let i in t.metrics)s[i]=ol(t.metrics[i])}this.compile({loss:o,metrics:s,optimizer:n})}async save(t,e){if(typeof t=="string"){let l=Pr.getSaveHandlers(t);if(l.length===0)throw new z(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new z(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new z("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Pr.encodeWeights(this.getNamedWeights(e)),o=!1,s=null,a={modelTopology:this.toJSON(s,o),format:K8,generatedBy:`TensorFlow.js tfjs-layers v${Hm}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();let l="optimizer",{data:c,specs:p}=await Pr.encodeWeights(await this.optimizer.getWeights(),l);n.specs.push(...p),n.data=Pr.concatenateArrayBuffers([n.data,c])}return this.userDefinedMetadata!=null&&(LS(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=n.data,a.weightSpecs=n.specs,t.save(a)}setUserDefinedMetadata(t){LS(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}};Vn.className="Model";Q.registerClass(Vn);var Jy=class extends Vn{};Jy.className="Functional";Q.registerClass(Jy);async function dD(r,t){"modelTopology"in r||(r={modelTopology:r}),r=r;let e=r.modelTopology;e.model_config!=null&&(e=e.model_config);let n=wc(e),o=yn(n,t);if(r.weightsManifest!=null){let s=await Pr.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(a=>a.originalName)),i={};for(let a of o.weights)i[a.originalName]=s[a.originalName];o.loadWeights(i),Nt(s)}return o}async function hD(r,t){if(t==null&&(t={}),typeof r=="string"){let e=Pr.getLoadHandlers(r,t);if(e.length===0)e.push(Pr.browserHTTPRequest(r,t));else if(e.length>1)throw new z(`Found more than one (${e.length}) load handlers for URL '${r}'`);r=e[0]}return j8(r,void 0,t)}async function j8(r,t,e){if(e==null&&(e={}),r.load==null)throw new z("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=e.strict==null?!0:e.strict,i=n.weightData!=null&&n.weightSpecs!=null&&s,a=yn(wc(o),t,i),u=n.trainingConfig;if(u!=null&&a.loadTrainingConfig(u),n.userDefinedMetadata!=null&&a.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new z("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");let{modelWeights:l,optimizerWeights:c}=X8(n.weightData,n.weightSpecs);a.loadWeights(l,s),a.optimizer!=null&&c.length>0&&await a.optimizer.setWeights(c),Nt(l),Nt(c.map(p=>p.tensor))}return a}function X8(r,t){let e=Pr.decodeWeights(r,t),n={},o=[];return t.forEach(s=>{s.group==="optimizer"?o.push({name:s.name,tensor:e[s.name]}):n[s.name]=e[s.name]}),{modelWeights:n,optimizerWeights:o}}var Xi=class extends Vn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:pu("sequential_"),t.layers!=null)for(let e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(n=>n<0))throw new z(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){let e=t instanceof Xi||t instanceof Vn,n;if(e){if(n=t,n.outputs.length!==1)throw new z("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(n.inputs.length!==1)throw new z("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new z("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");let o=Dy({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(o)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(t.inboundNodes.length!==1)throw new z(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new z("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=$S(this.outputs[0])}this.inboundNodes=[],new al({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:vo(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{let o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{let t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Bt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Vn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new Kr("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new Kr("The model needs to be compiled before being used.");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new Kr("The model needs to be compiled before being used.");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new Kr("The model needs to be compiled before being used.");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},o=!1){let s,i={};if(e instanceof Array){if(e[0].className==null||e[0].className==="Merge")throw new z("Legacy serialization format not supported yet.");s=e}else y.assert(e.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),s=e.layers,delete e.layers,i=e;let a=new t(i);if(!(a instanceof Xi))throw new vt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(let u of s){let c=yn(u,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),a.add(c)}return a}set stopTraining(t){if(this.model==null)throw new z("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new z("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let t=[];for(let e of this.layers){let n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}};Xi.className="Sequential";Q.registerClass(Xi);function Y8(r){return new Vn(r)}function Z8(r){return new Xi(r)}function BS(r){return Dy(r)}function J8(r,t){xn.registerCallbackConstructor(r,t)}var rn=class extends Q.Serializable{getConfig(){return{}}},Qy=class extends rn{apply(t,e=1){return O$(t,e)}};Qy.className="elu";Q.registerClass(Qy);var tb=class extends rn{apply(t){return mm(t)}};tb.className="selu";Q.registerClass(tb);var eb=class extends rn{apply(t){return Or(t)}};eb.className="relu";Q.registerClass(eb);var rb=class extends rn{apply(t){return B(()=>zi(6,Or(t)))}};rb.className="relu6";Q.registerClass(rb);var nb=class extends rn{apply(t){return t}};nb.className="linear";Q.registerClass(nb);var ob=class extends rn{apply(t){return Qr(t)}};ob.className="sigmoid";Q.registerClass(ob);var sb=class extends rn{apply(t){return L$(t)}};sb.className="hardSigmoid";Q.registerClass(sb);var ib=class extends rn{apply(t){return Vs(t)}};ib.className="softplus";Q.registerClass(ib);var ab=class extends rn{apply(t){return P$(t)}};ab.className="softsign";Q.registerClass(ab);var lb=class extends rn{apply(t){return Di(t)}};lb.className="tanh";Q.registerClass(lb);var Km=class extends rn{apply(t,e=-1){return au(t,e)}};Km.className="softmax";Q.registerClass(Km);var ub=class extends rn{apply(t,e=-1){return im(t,e)}};ub.className="logSoftmax";Q.registerClass(ub);var cb=class extends rn{apply(t,e=1){return B(()=>D(Qr(D(t,e)),t))}};cb.className="swish";Q.registerClass(cb);var pb=class extends rn{apply(t){return B(()=>D(t,Di(Vs(t))))}};pb.className="mish";Q.registerClass(pb);function js(r){return r.getClassName()}function VS(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,"activation")}function Xs(r){if(r==null){let t={};return t.className="linear",t.config={},VS(t)}if(typeof r=="string"){let t={};return t.className=r,t.config={},VS(t)}else return r instanceof rn?r:VS(r)}function GS(r){if(r!=null&&typeof r!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${r}`)}var mb=class extends Q.Serializable{},hu=class extends mb{constructor(t){super(),GS(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return B(()=>{let e=Te([1]);return this.hasL1&&(e=Y(e,mt(D(this.l1,Ee(t))))),this.hasL2&&(e=Y(e,mt(D(this.l2,cc(t))))),R(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}};hu.className="L1L2";Q.registerClass(hu);function yD(r){return GS(r),new hu({l1:r!=null?r.l1:null,l2:0})}function bD(r){return GS(r),new hu({l2:r!=null?r.l2:null,l1:0})}var gD={l1l2:"L1L2"};function me(r){return Sm(r)}function xD(r,t={}){return Hi(r,Q.SerializationMap.getMap().classNameMap,t,"regularizer")}function we(r){if(r==null)return null;if(typeof r=="string"){let e={className:r in gD?gD[r]:r,config:{}};return xD(e)}else return r instanceof mb?r:xD(r)}var jm=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=St(t);let n=Or(t);return this.maxValue!=null&&(n=vr(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){let t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}};jm.className="ReLU";Q.registerClass(jm);var Xm=class extends kt{constructor(t){super(t==null?{}:t),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){let n=St(t);return eu(n,this.alpha)}computeOutputShape(t){return t}getConfig(){let t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}};Xm.className="LeakyReLU";Q.registerClass(Xm);var Ym=class extends kt{constructor(t){if(super(t==null?{}:t),this.DEFAULT_ALPHA_INITIALIZER="zeros",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=de(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=we(t.alphaRegularizer),this.alphaConstraint=Ve(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes=="number")this.sharedAxes=[t.sharedAxes];else throw new z(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Bt(t);let e=t.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Oe(t),t==="channelsFirst"?Pt(r,[0,2,3,1]):r))}function WS(r,t){return B(()=>(Oe(t),t==="channelsFirst"?Pt(r,[0,2,3,4,1]):r))}function tY(r,t,e,n=1,o="valid",s,i=1){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.shape.length!==3)throw new z(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(t.shape.length!==3)throw new z(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new z(`The bias for a conv1dWithBias operation should be 1, but is ${t.shape.length} instead`);if(s==="channelsFirst"&&(r=Pt(r,[0,2,1])),o==="causal")throw new vt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let a=tm(r,t,n,o==="same"?"same":"valid","NWC",i);return e!=null&&(a=hn(a,e)),a})}function wD(r,t,e,n=[1,1],o="valid",s,i,a=null){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==3&&r.rank!==4)throw new z(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(t.rank!==3&&t.rank!==4)throw new z(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let u=Dh(r,s);if(o==="causal")throw new vt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=cu.conv2d({x:u,filter:t,strides:n,pad:o==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:e,activation:a}),s==="channelsFirst"&&(u=Pt(u,[0,3,1,2])),u})}function eY(r,t,e,n=[1,1,1],o="valid",s,i){return B(()=>{if(s==null&&(s=dn()),Oe(s),r.rank!==4&&r.rank!==5)throw new z(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(t.rank!==4&&t.rank!==5)throw new z(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let a=WS(r,s);if(o==="causal")throw new vt("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return a=yx(a,t,n,o==="same"?"same":"valid","NDHWC",i),e!=null&&(a=hn(a,e)),s==="channelsFirst"&&(a=Pt(a,[0,4,1,2,3])),a})}var Cc=class extends kt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Cc.verifyArgs(e),this.rank=t,Qe(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new vt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=gu(e.kernelSize,t,"kernelSize"),this.strides=gu(e.strides==null?1:e.strides,t,"strides"),this.padding=e.padding==null?"valid":e.padding,mn(this.padding),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Oe(this.dataFormat),this.activation=Xs(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=de(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Ve(e.biasConstraint),this.biasRegularizer=we(e.biasRegularizer),this.activityRegularizer=we(e.activityRegularizer),this.dilationRate=gu(e.dilationRate==null?1:e.dilationRate,t,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new z(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new z(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new z(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(so("kernelSize"in t,"required key 'kernelSize' not in config"),typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,3))throw new z(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){let t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:js(this.activation),useBias:this.useBias,biasInitializer:ke(this.biasInitializer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}},xu=class extends Cc{constructor(t,e){super(t,e),this.kernel=null,xu.verifyArgs(e),this.filters=e.filters,Qe(this.filters,"filters"),this.kernelInitializer=de(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Ve(e.kernelConstraint),this.kernelRegularizer=we(e.kernelRegularizer)}build(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[e]}`);let n=t[e],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return B(()=>{t=St(t);let n,o=this.bias==null?null:this.bias.read(),s=Iy(this.activation.getClassName());if(s!=null&&this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=tY(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=wD(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=eY(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new vt("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(t){t=Bt(t);let e=[],n=this.dataFormat==="channelsLast"?t.slice(1,t.length-1):t.slice(2);for(let s=0;s 0 but got ${JSON.stringify(t.filters)}`)}},ul=class extends xu{constructor(t){super(2,t),ul.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,2))throw new z(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}};ul.className="Conv2D";Q.registerClass(ul);var cl=class extends xu{constructor(t){super(3,t),cl.verifyArgs(t)}getConfig(){let t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new z(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}};cl.className="Conv3D";Q.registerClass(cl);var tf=class extends ul{constructor(t){if(super(t),this.inputSpec=[new be({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new z(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==4)throw new z("Input should have rank 4; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==4)throw new z(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a;this.dataFormat==="channelsFirst"?(i=2,a=3):(i=1,a=2);let u=o[i],l=o[a],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=Ys(u,m,c,this.padding),h=Ys(l,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!=="channelsLast"&&(n=Pt(n,[0,2,3,1]));let x=rm(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(x=Pt(x,[0,3,1,2])),this.bias!=null&&(x=hn(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3):(n=3,o=1,s=2);let i=this.kernelSize[0],a=this.kernelSize[1],u=this.strides[0],l=this.strides[1];return e[n]=this.filters,e[o]=Ys(e[o],u,i,this.padding),e[s]=Ys(e[s],l,a,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};tf.className="Conv2DTranspose";Q.registerClass(tf);var ef=class extends cl{constructor(t){if(super(t),this.inputSpec=[new be({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new z(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Bt(t),t.length!==5)throw new z("Input should have rank 5; Received input shape: "+JSON.stringify(t));let e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new z("The channel dimension of the inputs should be defined. Found `None`.");let n=t[e],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new be({ndim:5,axes:{[e]:n}})],this.built=!0}call(t,e){return B(()=>{let n=St(t);if(n.shape.length!==5)throw new z(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],i,a,u;this.dataFormat==="channelsFirst"?(u=2,i=3,a=4):(u=1,i=2,a=3);let l=o[u],c=o[i],p=o[a],m=this.kernelSize[0],f=this.kernelSize[1],d=this.kernelSize[2],h=this.strides[0],g=this.strides[1],x=this.strides[2],b=Ys(l,h,m,this.padding),w=Ys(c,g,f,this.padding),C=Ys(p,x,d,this.padding),N=[s,b,w,C,this.filters];this.dataFormat!=="channelsLast"&&(n=Pt(n,[0,2,3,4,1]));let _=wx(n,this.kernel.read(),N,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(_=Pt(_,[0,4,1,2,3])),this.bias!==null&&(_=hn(_,this.bias.read(),this.dataFormat)),this.activation!==null&&(_=this.activation.apply(_)),_})}computeOutputShape(t){t=Bt(t);let e=t.slice(),n,o,s,i;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3,i=4):(n=4,o=1,s=2,i=3);let a=this.kernelSize[0],u=this.kernelSize[1],l=this.kernelSize[2],c=this.strides[0],p=this.strides[1],m=this.strides[2];return e[n]=this.filters,e[o]=Ys(e[o],c,a,this.padding),e[s]=Ys(e[s],p,u,this.padding),e[i]=Ys(e[i],m,l,this.padding),e}getConfig(){let t=super.getConfig();return delete t.dilationRate,t}};ef.className="Conv3DTranspose";Q.registerClass(ef);var fb=class extends xu{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new z("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new z("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(e.padding!=null&&e.padding!=="same"&&e.padding!=="valid")throw new z(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=we(e.depthwiseRegularizer),this.depthwiseConstraint=Ve(e.depthwiseConstraint),this.pointwiseInitializer=de(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=we(e.pointwiseRegularizer),this.pointwiseConstraint=Ve(e.pointwiseConstraint)}build(t){if(t=Bt(t),t.length{t=St(t);let n;if(this.rank===1)throw new vt("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(t=Pt(t,[0,2,3,1])),n=fm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=Pt(n,[0,3,1,2])),n})}getConfig(){let t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.pointwiseInitializer=ke(this.pointwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.pointwiseRegularizer=me(this.pointwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseConstraint),t.pointwiseConstraint=Be(this.pointwiseConstraint),t}};fb.className="SeparableConv";var rf=class extends fb{constructor(t){super(2,t)}};rf.className="SeparableConv2D";Q.registerClass(rf);var yu=class extends xu{constructor(t){super(1,t),yu.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){let t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Cy(t.kernelSize,"number",1,1))throw new z(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}};yu.className="Conv1D";Q.registerClass(yu);var nf=class extends kt{constructor(t){super(t),typeof t.cropping=="number"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]=="number"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?"channelsLast":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat==="channelsFirst"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return B(()=>{if(t=St(t),this.dataFormat==="channelsLast"){let n=Ih(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Ih(n,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Ih(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Ih(n,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};nf.className="Cropping2D";Q.registerClass(nf);var of=class extends kt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Oe(this.dataFormat),this.interpolation=t.interpolation==null?"nearest":t.interpolation,_$(this.interpolation)}computeOutputShape(t){if(this.dataFormat==="channelsFirst"){let e=t[2]==null?null:this.size[0]*t[2],n=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,n]}else{let e=t[1]==null?null:this.size[0]*t[1],n=t[2]==null?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return B(()=>{let n=St(t),o=n.shape;if(this.dataFormat==="channelsFirst"){n=Pt(n,[0,2,3,1]);let s=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation==="nearest"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i]);return Pt(a,[0,3,1,2])}else{let s=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation==="nearest"?oo.resizeNearestNeighbor(n,[s,i]):oo.resizeBilinear(n,[s,i])}})}getConfig(){let t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}};of.className="UpSampling2D";Q.registerClass(of);function rY(r,t,e=[1,1],n="valid",o,s){return B(()=>{o==null&&(o=dn()),Oe(o);let i=Dh(r,o);if(r.rank!==4)throw new z(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(t.rank!==4)throw new z(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Oi(i,t,e,n==="same"?"same":"valid","NHWC",s),o==="channelsFirst"&&(i=Pt(i,[0,3,1,2])),i})}var sf=class extends Cc{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=de(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Ve(t.depthwiseConstraint),this.depthwiseRegularizer=we(t.depthwiseRegularizer)}build(t){if(t=Bt(t),t.length<4)throw new z(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);let e=this.dataFormat==="channelsFirst"?1:3;if(t[e]==null||t[e]<0)throw new z(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);let n=t[e],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{t=St(t);let n=rY(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=hn(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,s=Tn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Tn(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[t[0],o,s,i]:[t[0],s,i,o]}getConfig(){let t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ke(this.depthwiseInitializer),t.depthwiseRegularizer=me(this.depthwiseRegularizer),t.depthwiseConstraint=Be(this.depthwiseRegularizer),t}};sf.className="DepthwiseConv2D";Q.registerClass(sf);function US(r,t,e,n){if(Array.isArray(r)){if(t!=null||e!=null)throw new z("When inputs is an array, neither initialState or constants should be provided");n!=null&&(e=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(t=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return t=o(t),e=o(e),{inputs:r,initialState:t,constants:e}}function HS(r,t,e,n=!1,o,s,i=!1,a=!1){return B(()=>{let u=t.shape.length;if(u<3)throw new z(`Input should be at least 3D, but is ${u}D.`);let l=[1,0].concat(fn(2,u));if(t=Pt(t,l),s!=null)throw new vt("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=J(J(o,"bool"),"float32"),o.rank===u-1&&(o=ir(o,-1)),o=Pt(o,l)),n&&(t=dr(t,0),o!=null&&(o=dr(o,0)));let c=[],p,m=e,f=t.shape[0],d=gr(t),h;o!=null&&(h=gr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let C=B(()=>{let N=h[x],_=lt(wr(N),N),A=Y(D(w[0],N),D(m[0],_)),$=m.map((F,P)=>Y(D(w[1][P],N),D(F,_)));return{output:A,newStates:$}});p=C.output,m=C.newStates}a&&c.push(p)}let g;return a&&(g=qe(c,1)),[p,g,m]})}var kn=class extends kt{constructor(t){super(t);let e;if(t.cell==null)throw new z("cell property is missing for the constructor of RNN.");if(Array.isArray(t.cell)?e=new Sc({cells:t.cell}):e=t.cell,e.stateSize==null)throw new z("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new be({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return fn(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){$y(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);let n=e[0],o;if(this.returnSequences?o=[t[0],t[1],n]:o=[t[0],n],this.returnState){let s=[];for(let i of e)s.push([t[0],i]);return[o].concat(s)}else return o}computeMask(t,e){return B(()=>{Array.isArray(e)&&(e=e[0]);let n=this.returnSequences?e:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;na.shape[a.shape.length-1]),i))throw new z(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=i.map(a=>new be({shape:[null,a]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new z("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_=[Te([n,this.cell.stateSize])];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>Te([n,o])):this.states_[0]=Te([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let o=0;oDe(o.clone()))})}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);t=s.inputs,n=s.initialState,o=s.constants;let i=[],a=[];if(n!=null){e.initialState=n,i=i.concat(n),this.stateSpec=[];for(let l of n)this.stateSpec.push(new be({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof en){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;t=St(t),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(t));let i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==i)throw new z(`RNN Layer has ${i} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let a={training:o},l=HS((d,h)=>{let g=this.cell.call([d].concat(h),a);return[g[0],g.slice(1)]},t,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=l[0],p=l[1],m=l[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(t){return B(()=>{let e=Te(t.shape);return e=mt(e,[1,2]),e=il(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?Ey(e,[1,n]):e):this.cell.stateSize>1?[Ey(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){let t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===kn.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign(Object.assign(Object.assign({},n),t),e)}static fromConfig(t,e,n={}){let o=e.cell,s=yn(o,n);return new t(Object.assign(e,{cell:s}))}};kn.className="RNN";Q.registerClass(kn);var pl=class extends kt{},Ic=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Qe(this.units,"units"),this.activation=Xs(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];let o=e.training==null?!1:e.training;0wr(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0wr(n),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let s,i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?s=ko(D(t,i),this.kernel.read()):s=ko(t,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),a!=null&&(n=D(n,a));let u=Y(s,ko(n,this.recurrentKernel.read()));return this.activation!=null&&(u=this.activation.apply(u)),[u,u]})}getConfig(){let t=super.getConfig(),e={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),recurrentInitializer:ke(this.recurrentInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),recurrentRegularizer:me(this.recurrentRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),recurrentConstraint:Be(this.recurrentConstraint),biasConstraint:Be(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}};Ic.className="SimpleRNNCell";Q.registerClass(Ic);var af=class extends kn{constructor(t){t.cell=new Ic(t),super(t)}call(t,e){return B(()=>{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return new t(e)}};af.className="SimpleRNN";Q.registerClass(af);var vc=class extends pl{constructor(t){if(super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new z("GRUCell does not support reset_after parameter set to true.");this.units=t.units,Qe(this.units,"units"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Bt(t);let e=t[t.length-1];this.kernel=this.addWeight("kernel",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return B(()=>{if(t=t,t.length!==2)throw new z(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training==null?!1:e.training,o=t[1];t=t[0],0wr(t),rate:this.dropout,training:n,count:3,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:3,dropoutFunc:this.dropoutFunc}));let s=this.dropoutMask,i=this.recurrentDropoutMask,a,u,l;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};lf.className="GRU";Q.registerClass(lf);var ml=class extends pl{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,Qe(this.units,"units"),this.activation=Xs(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Xs(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=de(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=we(t.kernelRegularizer),this.recurrentRegularizer=we(t.recurrentRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.kernelConstraint=Ve(t.kernelConstraint),this.recurrentConstraint=Ve(t.recurrentConstraint),this.biasConstraint=Ve(t.biasConstraint),this.dropout=uc([1,qs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=uc([1,qs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Bt(t);let n=t[t.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,i=this.units;o=new(e=class extends gn{apply(u,l){let c=s.apply([i]),p=new fu().apply([i]),m=s.apply([i*2]);return AS(AS(c,p),m)}},e.className="CustomInit",e)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new z(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1],s=t[2];t=t[0],0wr(t),rate:this.dropout,training:n,count:4,dropoutFunc:this.dropoutFunc})),0wr(o),rate:this.recurrentDropout,training:n,count:4,dropoutFunc:this.dropoutFunc}));let i=this.dropoutMask,a=this.recurrentDropoutMask,u,l,c,p;0{this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}};uf.className="LSTM";Q.registerClass(uf);var Sc=class extends pl{constructor(t){super(t),this.cells=t.cells}get stateSize(){let t=[];for(let e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return B(()=>{t=t;let n=t.slice(1),o=[];for(let a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(n.splice(0,a.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],i;for(let a=0;a{Hs(`RNNCell_${o}`,()=>{n.build(t),Array.isArray(n.stateSize)?e=n.stateSize[0]:e=n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){let t=super.getConfig(),e=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,n={}){let o=[];for(let s of e.cells)o.push(yn(s,n));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];let t=[];for(let e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){let t=[];for(let e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){let e=[];for(let n of this.cells)e.push(...n.trainableWeights);return e.concat(t)}return t}getWeights(){let t=[];for(let e of this.cells)t.push(...e.weights);return Sh(t)}setWeights(t){let e=[];for(let n of this.cells){let o=n.weights.length,s=t.splice(o);for(let i=0;is!=null?s(t(),e):Ay(t(),e),a=()=>mu(i,t,n);return!o||o<=1?De(a().clone()):Array(o).fill(void 0).map(a).map(l=>De(l.clone()))}var nY=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(Nt(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Nt(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new z("ConvRNN2D cell does not support constants");let n=e==null?null:e.mask,o=e==null?null:e.training,s=e==null?null:e.initialState;return super.call(t,{mask:n,training:o,initialState:s})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return B(()=>{let{stateSize:e}=this.cell,n=t.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],i=Te(s);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){B(()=>{if(!this.stateful)throw new Nn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new z("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_=[Te(s)];else if(t==null)Nt(this.states_),this.keptStates!=null&&(Nt(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>Te(s)):this.states_[0]=Te(s);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new z(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):Nt(this.states_);for(let a=0;aDe(a.clone()))})}computeSingleOutputShape(t){let{dataFormat:e,filters:n,kernelSize:o,padding:s,strides:i,dilationRate:a}=this.cell,u=e==="channelsFirst",l=t[u?3:2],c=t[u?4:3],p=Tn(l,o[0],s,i[0],a[0]),m=Tn(c,o[1],s,i[1],a[1]);return[...t.slice(0,2),...u?[n,p,m]:[p,m,n]]}};db.className="ConvRNN2D";var Nc=class extends ml{constructor(t){let{filters:e,kernelSize:n,strides:o,padding:s,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,Qe(this.filters,"filters"),this.kernelSize=gu(n,2,"kernelSize"),this.kernelSize.forEach(u=>Qe(u,"kernelSize")),this.strides=gu(o||1,2,"strides"),this.strides.forEach(u=>Qe(u,"strides")),this.padding=s||"valid",mn(this.padding),this.dataFormat=i||"channelsLast",Oe(this.dataFormat),this.dilationRate=gu(a||1,2,"dilationRate"),this.dilationRate.forEach(u=>Qe(u,"dilationRate"))}build(t){var e;t=Bt(t);let n=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[n]==null)throw new z(`The channel dimension of the input should be defined. Found ${t[n]}`);let o=t[n],s=4,i=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let a=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let u;if(this.unitForgetBias){let l=this.biasInitializer,c=this.filters;u=new(e=class extends gn{apply(m,f){let d=l.apply([c]),h=fr([c]),g=l.apply([c*2]);return Tm([d,h,g])}},e.className="CustomInit",e)}else u=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return B(()=>{if(t.length!==3)throw new z(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let n=e.training||!1,o=t[0],s=t[1],i=t[2],a=4;0wr(o),rate:this.dropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let u=this.dropoutMask,l=(rt,ot,at)=>!ot||!ot[at]?rt:D(ot[at],rt),c=l(o,u,0),p=l(o,u,1),m=l(o,u,2),f=l(o,u,3);0wr(s),rate:this.recurrentDropout,training:n,count:a,dropoutFunc:this.dropoutFunc}));let d=this.recurrentDropoutMask,h=l(s,d,0),g=l(s,d,1),x=l(s,d,2),b=l(s,d,3),w=3,[C,N,_,A]=hr(this.kernel.read(),a,w),[$,F,P,V]=this.useBias?hr(this.bias.read(),a):[null,null,null,null];c=this.inputConv(c,C,$,this.padding),p=this.inputConv(p,N,F,this.padding),m=this.inputConv(m,_,P,this.padding),f=this.inputConv(f,A,V,this.padding);let[G,W,q,H]=hr(this.recurrentKernel.read(),a,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,W),x=this.recurrentConv(x,q),b=this.recurrentConv(b,H);let K=this.recurrentActivation.apply(Y(c,h)),X=this.recurrentActivation.apply(Y(p,g)),Z=Y(D(X,i),D(K,this.activation.apply(Y(m,x)))),et=D(this.recurrentActivation.apply(Y(f,b)),this.activation.apply(Z));return[et,et,Z]})}getConfig(){let t=super.getConfig(),{units:e}=t,n=nY(t,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),o)}inputConv(t,e,n,o){let s=vn(t,e,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?hn(s,n,this.dataFormat):s}recurrentConv(t,e){return vn(t,e,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Nc.className="ConvLSTM2DCell";Q.registerClass(Nc);var cf=class extends db{constructor(t){let e=new Nc(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}};cf.className="ConvLSTM2D";Q.registerClass(cf);var Tc=class extends kt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;let e=t.shape,n=[];for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);if(0Ay(n,this.rate,s,this.seed),()=>n,o)}return t})}getConfig(){let t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}};Tc.className="Dropout";Q.registerClass(Tc);var pf=class extends Tc{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){let e=t.shape;return[e[0],1,e[2]]}};pf.className="SpatialDropout1D";Q.registerClass(pf);var mf=class extends kt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,Qe(this.units,"units"),this.activation=Xs(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=de(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=de(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Ve(t.kernelConstraint),this.biasConstraint=Ve(t.biasConstraint),this.kernelRegularizer=we(t.kernelRegularizer),this.biasRegularizer=we(t.biasRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Bt(t);let e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Bt(t);let e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=Iy(this.activation.getClassName()),s;return o!=null?s=ko(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=ko(n,this.kernel.read()),this.bias!=null&&(s=hn(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let t={units:this.units,activation:js(this.activation),useBias:this.useBias,kernelInitializer:ke(this.kernelInitializer),biasInitializer:ke(this.biasInitializer),kernelRegularizer:me(this.kernelRegularizer),biasRegularizer:me(this.biasRegularizer),activityRegularizer:me(this.activityRegularizer),kernelConstraint:Be(this.kernelConstraint),biasConstraint:Be(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}};mf.className="Dense";Q.registerClass(mf);var ff=class extends kt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Bt(t);for(let e of t.slice(1))if(e==null)throw new z(`The shape of the input to "Flatten" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[t[0],To(t,1)]}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);if(this.dataFormat==="channelsFirst"&&n.rank>1){let o=[0];for(let s=2;s{this.invokeCallHook(t,e);let n=St(t);return this.activation.apply(n)})}getConfig(){let t={activation:js(this.activation)},e=super.getConfig();return Object.assign(t,e),t}};df.className="Activation";Q.registerClass(df);var hf=class extends kt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return B(()=>(t=St(t),D$(t,this.n)))}getConfig(){let t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}};hf.className="RepeatVector";Q.registerClass(hf);var gf=class extends kt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);let n=St(t),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return R(n,s)})}getConfig(){let t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}};gf.className="Reshape";Q.registerClass(gf);var xf=class extends kt{constructor(t){if(super(t),t.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${t.dims} instead.`);let e=fn(1,t.dims.length+1);if(!y.arraysEqual(t.dims.slice().sort(),e))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new be({ndim:this.dims.length+1})]}computeOutputShape(t){t=Bt(t);let e=t.slice();return this.dims.forEach((n,o)=>{e[o+1]=t[n]}),e}call(t,e){return Pt(St(t),this.dimsIncludingBatch)}getConfig(){let t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}};xf.className="Permute";Q.registerClass(xf);var yf=class extends kt{constructor(t){super(t==null?{}:t),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){let n=St(t),o=-1;return Gu(Gs(n,this.maskValue),o)}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t),o=-1,s=!0,i=Gu(Gs(n,this.maskValue),o,s);return D(n,J(i,n.dtype))})}};yf.className="Masking";Q.registerClass(yf);var bf=class extends kt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(ye(t.inputLength))}this.inputDim=t.inputDim,Qe(this.inputDim,"inputDim"),this.outputDim=t.outputDim,Qe(this.outputDim,"outputDim"),this.embeddingsInitializer=de(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=we(t.embeddingsRegularizer),this.activityRegularizer=we(t.activityRegularizer),this.embeddingsConstraint=Ve(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return B(()=>this.maskZero?(t=St(t),Gs(t,It(t))):null)}computeOutputShape(t){if(t=Bt(t),this.inputLength==null)return[...t,this.outputDim];let e=ye(this.inputLength);if(e.length!==t.length-1)throw new z(`"inputLength" is ${this.inputLength}, but received input shape has shape ${t}`);{let n=0;for(let o=0;o{this.invokeCallHook(t,e);let n=St(t);n.dtype!=="int32"&&(n=tn(n,"int32"));let o=_y(this.embeddings.read(),R(n,[n.size]));return R(o,Bt(this.computeOutputShape(n.shape)))})}getConfig(){let t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ke(this.embeddingsInitializer),embeddingsRegularizer:me(this.embeddingsRegularizer),activityRegularizer:me(this.activityRegularizer),embeddingsConstraint:Be(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}};bf.className="Embedding";Q.registerClass(bf);var dl=class extends kt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new vt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new z(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=t[0]==null?null:t[0].slice(1);for(let s=1;ss.length);t.indexOf(null)===-1&&No(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return B(()=>{if(t=t,this.reshapeRequired){let n=[],o=t.map(s=>s.rank);if(o.indexOf(null)===-1){let s=qs(o);for(let i of t){let a=i.rank;for(let u=0;u1){let c=fn(1,l).concat([0]);n.push(Pt(u,c)),s=!0}else n.push(u)}let i=this.mergeFunction(n),a=i.rank;if(s){if(a==null){let u=i.shape,l=u.length,c=u[l-1],p=[c].concat(u.slice(0,u.length-1));i=R(Pt(R(i,[-1,c]),[1,0]),p)}else if(a>1){let u=[a-1].concat(fn(0,a-1));i=Pt(i,u)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new z("`mask` should be an Array");if(!Array.isArray(t))throw new z("`inputs` should be an Array");if(e.length!==t.length)throw new z(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:ir(o,0));let n=e[0];for(let o=1;o{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new z("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}mergeFunction(t){return B(()=>Tm(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new z("A `Concatenate` layer should be called on a list of inputs.");let e=t,n=e[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of e.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new z("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new z("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new z(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return B(()=>{let n=!0;if(e.forEach(i=>{if(i!=null){n=!1;return}}),n)return null;let o=[];for(let i=0;i3||t.shape.length>3)throw new vt("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e=="number"&&(e=[e,e]),r.dtype==="complex64"||t.dtype==="complex64")throw new vt("batchDot is not implemented for complex64-type Tensors yet.");let n=r.shape.length,o=t.shape.length;e==null&&(e=[n-1,o-2]);let s=e;return B(()=>{let i;if(n>o){i=n-o;let u=[];for(let l=0;ln){i=o-n;let u=[];for(let l=0;l0){let u;n>o?u=n+o-3:u=n-1;let l=[];for(let c=u;c"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0],n=t[1];if(e.length>3||n.length>3)throw new vt("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);if(e[o[0]]!==n[o[1]])throw new z(`Dimension incompatibility: ${e[o[0]]} !== ${n[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new z(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],n=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,i)=>Rh(s,t[i].shape.length)):o=[Rh(this.axes,e.shape.length),Rh(this.axes,n.shape.length)],this.normalize&&(e=Nh(e,o[0]),n=Nh(n,o[1])),oY(e,n,o)}interpretAxes(t,e){let n;return Array.isArray(this.axes)?n=this.axes:n=[Rh(this.axes,t.length),Rh(this.axes,e.length)],n}computeOutputShape(t){y.assert(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new vt("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(e,n);e.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=e.concat(n);return s.length===1&&s.push(1),s}computeMask(t,e){return null}getConfig(){let t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}};Tf.className="Dot";Q.registerClass(Tf);var kf=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return mu(()=>Y(km(n.shape,0,this.stddev),n),()=>n,e.training||!1)})}};kf.className="GaussianNoise";Q.registerClass(kf);var Ef=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{this.invokeCallHook(t,e);let n=St(t);return this.rate>0&&this.rate<1?mu(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return D(n,km(n.shape,1,s))},()=>n,e.training||!1):n})}};Ef.className="GaussianDropout";Q.registerClass(Ef);var _f=class extends kt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||St(t).shape}computeOutputShape(t){return t}getConfig(){let t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return B(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(t);return mu(()=>{let s=St(t),i=1.6732632423543772,a=1.0507009873554805,u=-i*a,l=un(Vi(n),this.rate);l=tn(l,"float32");let c=((1-this.rate)*(1+this.rate*u**2))**-.5,p=-c*u*this.rate,m=Y(D(s,l),D(Y(l,-1),u));return Y(D(m,c),p)},()=>St(t),e.training||!1)}return t})}};_f.className="AlphaDropout";Q.registerClass(_f);function Fh(r,t,e,n,o,s=.001){let i;if(r.rank===2)i=ux(r,t,e,n,o,s);else if(r.rank===3)i=cx(r,t,e,n,o,s);else if(r.rank===4)i=px(r,t,e,n,o,s);else throw new vt(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return i}function sY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance;return[Fh(r,i,a,e,t,o),i,a]})}function iY(r,t,e,n,o=.001){return B(()=>{let s=qu(r,n),i=s.mean,a=s.variance,u=[];for(let d of fn(0,r.rank))n.indexOf(d)!==-1?u.push(1):u.push(r.shape[d]);let l=R(i,u),c=R(a,u),p=t==null?null:R(t,u),m=e==null?null:R(e,u);return[Fh(r,l,c,m,p,o),i,a]})}function aY(r,t,e,n,o=.001){return y.arraysEqual(n.slice().sort(),fn(0,r.rank-1))?sY(r,t,e,n,o):iY(r,t,e,n,o)}var Af=class extends kt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.movingMeanInitializer=de(t.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=de(t.movingVarianceInitializer||"ones"),this.betaConstraint=Ve(t.betaConstraint),this.gammaConstraint=Ve(t.gammaConstraint),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer)}build(t){t=Bt(t);let e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(n==null)throw new z(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new be({ndim:t.length,axes:{[e]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return B(()=>{let n=e.training==null?!1:e.training,o=St(t),s=o.shape,i=s.length,a=fn(0,i),u=this.axis>=0?this.axis:this.axis+i;a.splice(u,1);let l=vo(1,i);l[u]=s[u];let c=a.slice();c.sort();let p=!y.arraysEqual(c,fn(0,i).slice(0,i-1)),m=()=>{if(p){let b=R(this.movingMean.read(),l),w=R(this.movingVariance.read(),l),C=this.center?R(this.beta.read(),l):null,N=this.scale?R(this.gamma.read(),l):null;return Fh(o,b,w,C,N,this.epsilon)}else return Fh(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=aY(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(b,w,C)=>{B(()=>{let N=1-C,_=b.read(),A=D(lt(_,w),N);b.write(lt(_,A))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ke(this.betaInitializer),gammaInitializer:ke(this.gammaInitializer),movingMeanInitializer:ke(this.movingMeanInitializer),movingVarianceInitializer:ke(this.movingVarianceInitializer),betaRegularizer:me(this.betaRegularizer),gammaRegularizer:me(this.gammaRegularizer),betaConstraint:Be(this.betaConstraint),gammaConstraint:Be(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}};Af.className="BatchNormalization";Q.registerClass(Af);var $f=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=de(t.betaInitializer||"zeros"),this.gammaInitializer=de(t.gammaInitializer||"ones"),this.betaRegularizer=we(t.betaRegularizer),this.gammaRegularizer=we(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Bt(t);let e=t.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let s=0;s=e)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==No(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>t[s]),o=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){let n=St(t),o=n.shape,s=o.length;return B(()=>{let{mean:a,variance:u}=qu(n,this.axis,!0),l=vo(1,s);for(let h of this.axis)l[h]=o[h];let c=h=>h!=null&&h.shape.length!==s?R(h,l):h,p=this.scale?c(this.gamma.read()):null,m=this.center?c(this.beta.read()):null,f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new z(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new z("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=dn()),e!=="channelsLast"&&e!=="channelsFirst")throw new z(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return e==="channelsFirst"?n=[[0,0],[0,0],t[0],t[1]]:n=[[0,0],t[0],t[1],[0,0]],pn(r,n)})}var Df=class extends kt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?dn():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding=="number")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new z(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,n;if(typeof t.padding[0]=="number")e=[t.padding[0],t.padding[0]],n=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new z(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new z(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);n=t.padding[1]}this.padding=[e,n]}this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e,n;return this.dataFormat==="channelsFirst"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?n=t[3]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],t[1],e,n]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?n=t[2]+this.padding[1][0]+this.padding[1][1]:n=null,[t[0],e,n,t[3]])}call(t,e){return B(()=>lY(St(t),this.padding,this.dataFormat))}getConfig(){let t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}};Df.className="ZeroPadding2D";Q.registerClass(Df);function wb(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1]),n==null&&(n="valid"),o==null&&(o=dn()),s==null&&(s="max"),r=Dh(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=ou(r,t,e,a):i=Zl(r,t,e,a),o==="channelsFirst"&&(i=Pt(i,[0,3,1,2])),i})}function CD(r,t,e,n,o,s){return B(()=>{Oe(o),TS(s),mn(n),e==null&&(e=[1,1,1]),n==null&&(n="valid"),o==null&&(o=dn()),s==null&&(s="max"),r=WS(r,o);let i,a=n==="same"?"same":"valid";return s==="max"?i=Lx(r,t,e,a):i=lx(r,t,e,a),o==="channelsFirst"&&(i=Pt(i,[0,4,1,2,3])),i})}var hb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize=="number")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]=="number")this.poolSize=t.poolSize;else throw new z(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(Qe(this.poolSize,"poolSize"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides=="number")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]=="number")this.strides=t.strides;else throw new z(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);Qe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,mn(this.padding),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){t=Bt(t);let e=Tn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return B(()=>{this.invokeCallHook(t,e),t=il(St(t),2);let n=this.poolingFunction(St(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return zn(n,[2])})}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}},Rf=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,"max")}};Rf.className="MaxPooling1D";Q.registerClass(Rf);var Ff=class extends hb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,"avg")}};Ff.className="AveragePooling1D";Q.registerClass(Ff);var gb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new z(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];Qe(this.poolSize,"poolSize"),Qe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Of=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,"max")}};Of.className="MaxPooling2D";Q.registerClass(Of);var Pf=class extends gb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),wb(t,e,n,o,s,"avg")}};Pf.className="AveragePooling2D";Q.registerClass(Pf);var xb=class extends kt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new z(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];Qe(this.poolSize,"poolSize"),Qe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Oe(this.dataFormat),mn(this.padding),this.inputSpec=[new be({ndim:5})]}computeOutputShape(t){t=Bt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],n=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[4]:t[3];return e=Tn(e,this.poolSize[0],this.padding,this.strides[0]),n=Tn(n,this.poolSize[1],this.padding,this.strides[1]),o=Tn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,n,o]:[t[0],e,n,o,t[4]]}call(t,e){return B(()=>(this.invokeCallHook(t,e),this.poolingFunction(St(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Lf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,"max")}};Lf.className="MaxPooling3D";Q.registerClass(Lf);var Mf=class extends xb{constructor(t){super(t)}poolingFunction(t,e,n,o,s){return Oe(s),mn(o),CD(t,e,n,o,s,"avg")}};Mf.className="AveragePooling3D";Q.registerClass(Mf);var yb=class extends kt{constructor(t){super(t),this.inputSpec=[new be({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new vt}},zf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Ne(n,1)})}};zf.className="GlobalAveragePooling1D";Q.registerClass(zf);var Bf=class extends yb{constructor(t){super(t||{})}call(t,e){return B(()=>{let n=St(t);return Sr(n,1)})}};Bf.className="GlobalMaxPooling1D";Q.registerClass(Bf);var bb=class extends kt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Oe(this.dataFormat),this.inputSpec=[new be({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat==="channelsLast"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new vt}getConfig(){let t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}},Vf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat==="channelsLast"?Ne(n,[1,2]):Ne(n,[2,3])})}};Vf.className="GlobalAveragePooling2D";Q.registerClass(Vf);var Gf=class extends bb{call(t,e){return B(()=>{let n=St(t);return this.dataFormat==="channelsLast"?Sr(n,[1,2]):Sr(n,[2,3])})}};Gf.className="GlobalMaxPooling2D";Q.registerClass(Gf);var Cb=class extends kt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){let t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){let o=e.layer,s=yn(o,n);delete e.layer;let i={layer:s};return Object.assign(i,e),new t(i)}},Wf=class extends Cb{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Bt(t),t.length<3)throw new z(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];let e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Bt(t);let e=[t[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),o=t[1];return[n[0],o].concat(n.slice(1))}call(t,e){return B(()=>(t=St(t),HS((i,a)=>[St(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}};Wf.className="TimeDistributed";Q.registerClass(Wf);function uY(r){qi(k$,"BidirectionalMergeMode",r)}var cY="concat",Uf=class extends Cb{constructor(t){super(t);let e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=yn(n),e.goBackwards=e.goBackwards!==!0;let o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=yn(o),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?cY:t.mergeMode,uY(this.mergeMode),t.weights)throw new vt("weights support is not implemented for Bidirectional layer yet.");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){let e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let n,o,s;return this.returnState&&(s=e.slice(1)),n=e[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):Tr(o)}apply(t,e){let n=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});let s=US(t,n,o,this.numConstants);if(t=s.inputs,n=s.initialState,o=s.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(n==null||n.length===0)&&o==null)return super.apply(t,e);let i=[],a=[];if(n!=null){let l=n.length;if(l%2>0)throw new z("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");e.initialState=n,i.push(...n);let c=n.map(p=>new be({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,l/2),this.backwardLayer.stateSpec=c.slice(l/2),a.push(...c)}if(o!=null)throw new vt("Support for constants in Bidirectional layers is not implemented yet.");let u=i[0]instanceof en;for(let l of i)if(l instanceof en!==u)throw new z("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(u){let l=[t].concat(i),c=this.inputSpec.concat(a),p=this.inputSpec;this.inputSpec=c;let m=super.apply(l,e);return this.inputSpec=p,m}else return super.apply(t,e)}call(t,e){return B(()=>{let n=e.initialState,o,s;if(n==null)o=this.forwardLayer.call(t,e),s=this.backwardLayer.call(t,e);else{let u=n.slice(0,n.length/2),l=n.slice(n.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:u})),s=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=dr(s,1));let a;return this.mergeMode==="concat"?a=Tm([o,s]):this.mergeMode==="sum"?a=Y(o,s):this.mergeMode==="ave"?a=D(.5,Y(o,s)):this.mergeMode==="mul"?a=D(o,s):this.mergeMode==null&&(a=[o,s]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){Hs(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),Hs(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let n;if(this.returnSequences?this.mergeMode==null?n=[e,e]:n=e:this.mergeMode==null?n=[null,null]:n=null,this.returnState){let s=this.forwardLayer.states.map(i=>null);return Array.isArray(n)?n.concat(s).concat(s):[n].concat(s).concat(s)}else return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){let t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){let n=yn(e.layer);if(delete e.layer,e.numConstants!=null)throw new vt("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");let o=e;return o.layer=n,new t(o)}};Uf.className="Bidirectional";Q.registerClass(Uf);var Hf=class extends kt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){let t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>(t=St(t),t.dtype!=="float32"&&(t=tn(t,"float32")),Y(D(t,this.scale),this.offset)))}};Hf.className="Rescaling";Q.registerClass(Hf);var{resizeBilinear:pY,cropAndResize:mY}=oo,qf=class extends kt{constructor(t){super(t),this.height=t.height,this.width=t.width}centerCrop(t,e,n,o,s,i,a,u){return B(()=>{let l,c=!1,p=e/i,m=n/a,f=(o+e)/i,d=(s+n)/a,h=[p,m,f,d],g=[];t.rank===3?(c=!0,l=qe([t])):l=t;for(let N=0;N{let s=pY(t,[e,n]);return tn(s,o)})}call(t,e){return B(()=>{let n=St(t),o=n.dtype,s=n.shape,i=s[s.length-3],a=s[s.length-2],u=0;i!==this.height&&(u=Math.floor((i-this.height)/2));let l=0;return a!==this.width&&(l=Math.floor((a-this.width)/2),l===0&&(l=1)),u>=0&&l>=0?this.centerCrop(n,u,l,this.height,this.width,i,a,o):this.upsize(t,this.height,this.width,o)})}getConfig(){let t={height:this.height,width:this.width},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){t=Bt(t);let e=t.length-3,n=t.length-2;return t[e]=this.height,t[n]=this.width,t}};qf.className="CenterCrop";Q.registerClass(qf);function ID(r,t,e,n){let o=St(r);if(o.dtype!=="int32"&&(o=tn(o,"int32")),t==="int")return o;let s=o.shape;if(o.rank===0&&(o=ir(o,-1)),t==="oneHot"&&o.shape[o.shape.length-1]!==1&&(o=ir(o,-1)),o.rank>2)throw new z(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${s} which would result in output rank ${o.rank}.`);let i=["multiHot","oneHot"].includes(t),a=o,u;if(typeof n!="undefined"&&t==="count"?u=ah(a,n,e,i):u=ah(a,[],e,i),t!=="tfIdf")return u;if(n)return D(u,n);throw new z("When outputMode is 'tfIdf', weights must be provided.")}var Kf=class extends kt{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode="multiHot"}getConfig(){let t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Bt(t),t==null?[this.numTokens]:this.outputMode==="oneHot"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return B(()=>{t=St(t),t.dtype!=="int32"&&(t=tn(t,"int32"));let n;if(typeof e.countWeights!="undefined"){if(this.outputMode!=="count")throw new z(`countWeights is not used when outputMode !== count. - Received countWeights=${e.countWeights}`);n=St(e.countWeights)}let o=Sr(t),s=Ja(t),i=Fe(this.numTokens,o).bufferSync().get(0),a=un(s,0).bufferSync().get(0);if(!(i&&a))throw new z(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return ID(t,this.outputMode,this.numTokens,n)})}};Kf.className="CategoryEncoding";Q.registerClass(Kf);var dY=["bilinear","nearest"],vD=new Set(dY),jf=class extends kt{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(vD.has(t.interpolation))this.interpolation=t.interpolation;else throw new z(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return oo.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return oo.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...vD]} are supported`)})}};jf.className="Resizing";Q.registerClass(jf);function hY(r){return new Ks(r)}function gY(r){return new Zm(r)}function xY(r){return new jm(r)}function yY(r){return new Xm(r)}function bY(r){return new Ym(r)}function wY(r){return new Qm(r)}function CY(r){return new Jm(r)}function IY(r){return new yu(r)}function vY(r){return new ul(r)}function SY(r){return new tf(r)}function NY(r){return new cl(r)}function TY(r){return new ef(r)}function kY(r){return new rf(r)}function EY(r){return new nf(r)}function _Y(r){return new of(r)}function AY(r){return new sf(r)}function $Y(r){return new df(r)}function DY(r){return new mf(r)}function RY(r){return new Tc(r)}function FY(r){return new pf(r)}function OY(r){return new ff(r)}function PY(r){return new hf(r)}function LY(r){return new gf(r)}function MY(r){return new xf(r)}function zY(r){return new bf(r)}function BY(r){return new wf(r)}function VY(r){return new If(r)}function GY(r){return new Nf(r)}function WY(r){return new vf(r)}function UY(r){return new Sf(r)}function HY(r){return new Cf(r)}function qY(r){return new Tf(r)}function KY(r){return new Af(r)}function jY(r){return new $f(r)}function XY(r){return new Df(r)}function qS(r){return new Ff(r)}function YY(r){return qS(r)}function ZY(r){return qS(r)}function KS(r){return new Pf(r)}function JY(r){return KS(r)}function QY(r){return KS(r)}function jS(r){return new Mf(r)}function tZ(r){return jS(r)}function eZ(r){return jS(r)}function rZ(r){return new zf(r)}function nZ(r){return new Vf(r)}function SD(r){return new Bf(r)}function ND(r){return new Gf(r)}function TD(r){return new Rf(r)}function kD(r){return new Of(r)}function oZ(r){return new Lf(r)}function sZ(r){return new lf(r)}function iZ(r){return new vc(r)}function aZ(r){return new uf(r)}function lZ(r){return new ml(r)}function uZ(r){return new af(r)}function cZ(r){return new Ic(r)}function pZ(r){return new cf(r)}function mZ(r){return new Nc(r)}function fZ(r){return new kn(r)}function dZ(r){return new Sc(r)}function hZ(r){return new Uf(r)}function gZ(r){return new Wf(r)}var xZ=SD,yZ=ND,bZ=TD,wZ=kD;function CZ(r){return new kf(r)}function IZ(r){return new Ef(r)}function vZ(r){return new _f(r)}function SZ(r){return new yf(r)}function NZ(r){return new Hf(r)}function TZ(r){return new qf(r)}function kZ(r){return new jf(r)}function EZ(r){return new Kf(r)}var _D={};Ut(_D,{MAPE:()=>zZ,MSE:()=>GZ,binaryAccuracy:()=>_Z,binaryCrossentropy:()=>AZ,categoricalAccuracy:()=>DZ,categoricalCrossentropy:()=>RZ,cosineProximity:()=>PZ,mape:()=>BZ,meanAbsoluteError:()=>LZ,meanAbsolutePercentageError:()=>MZ,meanSquaredError:()=>VZ,mse:()=>WZ,precision:()=>FZ,recall:()=>OZ,sparseCategoricalAccuracy:()=>$Z});function _Z(r,t){return Eh(r,t)}function AZ(r,t){return Wy(r,t)}function $Z(r,t){return Uy(r,t)}function DZ(r,t){return _h(r,t)}function RZ(r,t){return Ah(r,t)}function FZ(r,t){return FS(r,t)}function OZ(r,t){return Q$(r,t)}function PZ(r,t){return kh(r,t)}function LZ(r,t){return Gm(r,t)}function MZ(r,t){return du(r,t)}function zZ(r,t){return du(r,t)}function BZ(r,t){return du(r,t)}function VZ(r,t){return ji(r,t)}function GZ(r,t){return ji(r,t)}function WZ(r,t){return ji(r,t)}var AD={};Ut(AD,{modelFromJSON:()=>dD});var $D={};Ut($D,{l1:()=>HZ,l1l2:()=>UZ,l2:()=>qZ});function UZ(r){return new hu(r)}function HZ(r){return yD(r)}function qZ(r){return bD(r)}var vb=class extends ll{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Vn))throw new Error("model must be a LayersModel, not some other Container");this.model=t}};function Ib(r,t){return rt}var Sb=class extends vb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=t.monitor||"val_loss",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||"auto",this.baseline=t.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Ib:this.mode==="max"?this.monitorFunc=DD:this.monitor.indexOf("acc")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ki(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function KZ(r){return new Sb(r)}var jZ={earlyStopping:KZ};var XZ=M();XZ.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var io;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(io||(io={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var XS={};function ZZ(r,t){let e={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:t};XS[r]=e}function Nb(r){return XS[r]}function JZ(r){delete XS[r]}function I(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type==="tensor")return Cr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type==="tensors")return t.inputNames.slice(a,u).map(m=>Cr(m,e,n,o));let l=Cr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type==="number"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function Cr(r,t,e,n){let[o,s]=bn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function Zs(r,t){let[e,n,o]=bn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function bn(r){let t=r.split(":");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Oh(r,t,e){let n=I("pad",r,t,e);if(n==="explicit"){n=I("explicitPaddings",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Js(r){return r.kept?r:an(r)}var YS={};Ut(YS,{json:()=>QZ});var QZ=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var ZS={};Ut(ZS,{json:()=>t7});var t7=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var JS={};Ut(JS,{json:()=>e7});var e7=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var QS={};Ut(QS,{json:()=>r7});var r7=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var tN={};Ut(tN,{json:()=>n7});var n7=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var eN={};Ut(eN,{json:()=>o7});var o7=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var rN={};Ut(rN,{json:()=>s7});var s7=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var nN={};Ut(nN,{json:()=>i7});var i7=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var oN={};Ut(oN,{json:()=>a7});var a7=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}];var sN={};Ut(sN,{json:()=>l7});var l7=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var iN={};Ut(iN,{json:()=>u7});var u7=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var aN={};Ut(aN,{json:()=>c7});var c7=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}];var lN={};Ut(lN,{json:()=>p7});var p7=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}];var uN={};Ut(uN,{json:()=>m7});var m7=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var cN={};Ut(cN,{json:()=>f7});var f7=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}];var pN={};Ut(pN,{json:()=>d7});var d7=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var mN={};Ut(mN,{json:()=>h7});var h7=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var fN={};Ut(fN,{json:()=>g7});var g7=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var dN={};Ut(dN,{json:()=>x7});var x7=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var Ph=class{constructor(){let t=[YS,ZS,JS,QS,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN,pN,mN,fN,dN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?o.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Zs(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Zs(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Zs(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith("^")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case"string":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&!!s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&!!s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op==="Const"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Zs(p.name),f={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:hN(p.type),type:"dtype"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Zs(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Zs(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function y7(r){let t=M().global;if(typeof t.atob!="undefined")return t.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):y7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o=="number"?o:parseInt(o,10)}function hN(r){switch(typeof r=="string"&&(r=io[r]),r){case io.DT_FLOAT:case io.DT_HALF:return"float32";case io.DT_INT32:case io.DT_INT64:case io.DT_INT8:case io.DT_UINT8:return"int32";case io.DT_BOOL:return"bool";case io.DT_DOUBLE:return"float32";case io.DT_STRING:return"string";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?hN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>hN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o=="number"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return Cr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return Cr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var se={};Ut(se,{OP_SCOPE_SUFFIX:()=>A0,abs:()=>Ee,acos:()=>tx,acosh:()=>ex,add:()=>Y,addN:()=>uE,all:()=>Jp,any:()=>Gu,argMax:()=>Ai,argMin:()=>rx,asin:()=>nx,asinh:()=>ox,atan:()=>sx,atan2:()=>ix,atanh:()=>ax,avgPool:()=>Zl,avgPool3d:()=>lx,basicLSTMCell:()=>mE,batchNorm:()=>Ri,batchNorm2d:()=>ux,batchNorm3d:()=>cx,batchNorm4d:()=>px,batchToSpaceND:()=>Jl,bincount:()=>mx,booleanMaskAsync:()=>Oj,broadcastArgs:()=>dE,broadcastTo:()=>Fi,buffer:()=>bt,cast:()=>J,ceil:()=>fx,clipByValue:()=>vr,clone:()=>an,complex:()=>In,concat:()=>oe,concat1d:()=>dx,concat2d:()=>hx,concat3d:()=>gx,concat4d:()=>xx,conv1d:()=>tm,conv2d:()=>vn,conv2dTranspose:()=>rm,conv3d:()=>yx,conv3dTranspose:()=>wx,cos:()=>Ql,cosh:()=>nm,cosineWindow:()=>fh,cumprod:()=>Uu,cumsum:()=>om,denseBincount:()=>ah,depthToSpace:()=>Cx,depthwiseConv2d:()=>Oi,diag:()=>hE,dilation2d:()=>Ix,div:()=>ut,divNoNan:()=>vx,dot:()=>Sx,dropout:()=>nS,einsum:()=>xE,elu:()=>Pi,enclosingPowerOfTwo:()=>oS,equal:()=>Dr,erf:()=>Nx,euclideanNorm:()=>Tx,exp:()=>sr,expandDims:()=>ir,expm1:()=>kx,eye:()=>Hu,fft:()=>lu,fill:()=>yo,floor:()=>Li,floorDiv:()=>Zp,fused:()=>cu,gather:()=>Mi,gatherND:()=>Hj,greater:()=>Fe,greaterEqual:()=>un,ifft:()=>el,imag:()=>tu,image:()=>oo,inTopKAsync:()=>jj,irfft:()=>ym,isFinite:()=>Ex,isInf:()=>_x,isNaN:()=>Ax,leakyRelu:()=>eu,less:()=>sm,lessEqual:()=>Mn,linalg:()=>iS,linspace:()=>wE,localResponseNormalization:()=>$x,log:()=>Nr,log1p:()=>ru,logSigmoid:()=>Fx,logSoftmax:()=>im,logSumExp:()=>am,logicalAnd:()=>Fr,logicalNot:()=>nu,logicalOr:()=>lm,logicalXor:()=>Ox,losses:()=>j6,lowerBound:()=>CE,matMul:()=>Mt,max:()=>Sr,maxPool:()=>ou,maxPool3d:()=>Lx,maxPoolWithArgmax:()=>IE,maximum:()=>Sn,mean:()=>Ne,meshgrid:()=>vE,min:()=>Ja,minimum:()=>zi,mirrorPad:()=>Mx,mod:()=>zx,moments:()=>qu,movingAverage:()=>Mj,mul:()=>D,multiRNNCell:()=>SE,multinomial:()=>NE,neg:()=>qt,norm:()=>Qa,notEqual:()=>Gs,oneHot:()=>Bi,ones:()=>fr,onesLike:()=>wr,op:()=>T,outerProduct:()=>TE,pad:()=>pn,pad1d:()=>kE,pad2d:()=>EE,pad3d:()=>_E,pad4d:()=>AE,pool:()=>Bx,pow:()=>ln,prelu:()=>iu,print:()=>Qg,prod:()=>Vx,raggedGather:()=>$E,raggedRange:()=>DE,raggedTensorToTensor:()=>RE,rand:()=>FE,randomGamma:()=>e_,randomNormal:()=>Xu,randomStandardNormal:()=>r_,randomUniform:()=>Vi,range:()=>Gi,real:()=>tl,reciprocal:()=>Kx,relu:()=>Or,relu6:()=>um,reshape:()=>R,reverse:()=>dr,reverse1d:()=>n_,reverse2d:()=>o_,reverse3d:()=>s_,reverse4d:()=>i_,rfft:()=>uu,round:()=>cm,rsqrt:()=>pm,scalar:()=>pt,scatterND:()=>Bj,searchSorted:()=>uh,selu:()=>mm,separableConv2d:()=>fm,setdiff1dAsync:()=>a_,sigmoid:()=>Qr,sign:()=>jx,signal:()=>K6,sin:()=>dm,sinh:()=>hm,slice:()=>Rt,slice1d:()=>gm,slice2d:()=>ph,slice3d:()=>xm,slice4d:()=>Yu,softmax:()=>au,softplus:()=>Vs,spaceToBatchND:()=>su,sparse:()=>X6,sparseToDense:()=>Wj,spectral:()=>q6,split:()=>hr,sqrt:()=>Se,square:()=>zt,squaredDifference:()=>bm,squeeze:()=>zn,stack:()=>qe,step:()=>wo,stridedSlice:()=>Xx,string:()=>Y6,sub:()=>lt,sum:()=>mt,tan:()=>Yx,tanh:()=>Di,tensor:()=>or,tensor1d:()=>Ke,tensor2d:()=>Ws,tensor3d:()=>Zx,tensor4d:()=>l_,tensor5d:()=>u_,tensor6d:()=>c_,tile:()=>Rr,topk:()=>Jx,transpose:()=>Pt,truncatedNormal:()=>wm,unique:()=>Qx,unsortedSegmentSum:()=>Cm,unstack:()=>gr,upperBound:()=>p_,variable:()=>ty,where:()=>_e,whereAsync:()=>ry,zeros:()=>Te,zerosLike:()=>It});var MD=(r,t,e,n=se)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(I("a",r,t,e),I("b",r,t,e))];case"AddN":return[n.addN(I("tensors",r,t,e))];case"FloorMod":case"Mod":return[n.mod(I("a",r,t,e),I("b",r,t,e))];case"Mul":return[n.mul(I("a",r,t,e),I("b",r,t,e))];case"RealDiv":case"Div":return[n.div(I("a",r,t,e),I("b",r,t,e))];case"DivNoNan":return[n.divNoNan(I("a",r,t,e),I("b",r,t,e))];case"FloorDiv":return[n.floorDiv(I("a",r,t,e),I("b",r,t,e))];case"Sub":return[n.sub(I("a",r,t,e),I("b",r,t,e))];case"Minimum":return[n.minimum(I("a",r,t,e),I("b",r,t,e))];case"Maximum":return[n.maximum(I("a",r,t,e),I("b",r,t,e))];case"Pow":return[n.pow(I("a",r,t,e),I("b",r,t,e))];case"SquaredDifference":return[n.squaredDifference(I("a",r,t,e),I("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=se)=>{switch(r.op){case"Abs":case"ComplexAbs":return[n.abs(I("x",r,t,e))];case"Acos":return[n.acos(I("x",r,t,e))];case"Acosh":return[n.acosh(I("x",r,t,e))];case"Asin":return[n.asin(I("x",r,t,e))];case"Asinh":return[n.asinh(I("x",r,t,e))];case"Atan":return[n.atan(I("x",r,t,e))];case"Atan2":return[n.atan2(I("x",r,t,e),I("y",r,t,e))];case"Atanh":return[n.atanh(I("x",r,t,e))];case"Ceil":return[n.ceil(I("x",r,t,e))];case"Complex":return[n.complex(I("real",r,t,e),I("imag",r,t,e))];case"Cos":return[n.cos(I("x",r,t,e))];case"Cosh":return[n.cosh(I("x",r,t,e))];case"Elu":return[n.elu(I("x",r,t,e))];case"Erf":return[n.erf(I("x",r,t,e))];case"Exp":return[n.exp(I("x",r,t,e))];case"Expm1":return[n.expm1(I("x",r,t,e))];case"Floor":return[n.floor(I("x",r,t,e))];case"Log":return[n.log(I("x",r,t,e))];case"Log1p":return[n.log1p(I("x",r,t,e))];case"Imag":return[n.imag(I("x",r,t,e))];case"Neg":return[n.neg(I("x",r,t,e))];case"Reciprocal":return[n.reciprocal(I("x",r,t,e))];case"Real":return[n.real(I("x",r,t,e))];case"Relu":return[n.relu(I("x",r,t,e))];case"Round":return[n.round(I("x",r,t,e))];case"Selu":return[n.selu(I("x",r,t,e))];case"Sigmoid":return[n.sigmoid(I("x",r,t,e))];case"Sin":return[n.sin(I("x",r,t,e))];case"Sign":return[n.sign(I("x",r,t,e))];case"Sinh":return[n.sinh(I("x",r,t,e))];case"Softplus":return[n.softplus(I("x",r,t,e))];case"Sqrt":return[n.sqrt(I("x",r,t,e))];case"Square":return[n.square(I("x",r,t,e))];case"Tanh":return[n.tanh(I("x",r,t,e))];case"Tan":return[n.tan(I("x",r,t,e))];case"ClipByValue":return[n.clipByValue(I("x",r,t,e),I("clipValueMin",r,t,e),I("clipValueMax",r,t,e))];case"Relu6":return[n.relu6(I("x",r,t,e))];case"Rsqrt":return[n.rsqrt(Cr(r.inputNames[0],t,e))];case"Prod":return[n.prod(I("x",r,t,e),I("axes",r,t,e))];case"LeakyRelu":return[n.leakyRelu(I("x",r,t,e),I("alpha",r,t,e))];case"Prelu":return[n.prelu(I("x",r,t,e),I("alpha",r,t,e))];case"IsNan":return[n.isNaN(Cr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Gn(r,t,e=""){if(!(typeof r=="number"||typeof t=="number")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r=="number"||r.some(t=>t<0))}function Xf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r=="number")return t;if(typeof t=="number")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=pt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, - because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Gn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,gr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + Received countWeights=${e.countWeights}`);n=St(e.countWeights)}let o=Sr(t),s=Ja(t),i=Fe(this.numTokens,o).bufferSync().get(0),a=un(s,0).bufferSync().get(0);if(!(i&&a))throw new z(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return ID(t,this.outputMode,this.numTokens,n)})}};Kf.className="CategoryEncoding";Q.registerClass(Kf);var dY=["bilinear","nearest"],vD=new Set(dY),jf=class extends kt{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(vD.has(t.interpolation))this.interpolation=t.interpolation;else throw new z(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(t.cropToAspectRatio)}computeOutputShape(t){t=Bt(t);let e=t[2];return[this.height,this.width,e]}getConfig(){let t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return B(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return oo.resizeBilinear(t,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return oo.resizeNearestNeighbor(t,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...vD]} are supported`)})}};jf.className="Resizing";Q.registerClass(jf);function hY(r){return new Ks(r)}function gY(r){return new Zm(r)}function xY(r){return new jm(r)}function yY(r){return new Xm(r)}function bY(r){return new Ym(r)}function wY(r){return new Qm(r)}function CY(r){return new Jm(r)}function IY(r){return new yu(r)}function vY(r){return new ul(r)}function SY(r){return new tf(r)}function NY(r){return new cl(r)}function TY(r){return new ef(r)}function kY(r){return new rf(r)}function EY(r){return new nf(r)}function _Y(r){return new of(r)}function AY(r){return new sf(r)}function $Y(r){return new df(r)}function DY(r){return new mf(r)}function RY(r){return new Tc(r)}function FY(r){return new pf(r)}function OY(r){return new ff(r)}function PY(r){return new hf(r)}function LY(r){return new gf(r)}function MY(r){return new xf(r)}function zY(r){return new bf(r)}function BY(r){return new wf(r)}function VY(r){return new If(r)}function GY(r){return new Nf(r)}function WY(r){return new vf(r)}function UY(r){return new Sf(r)}function HY(r){return new Cf(r)}function qY(r){return new Tf(r)}function KY(r){return new Af(r)}function jY(r){return new $f(r)}function XY(r){return new Df(r)}function qS(r){return new Ff(r)}function YY(r){return qS(r)}function ZY(r){return qS(r)}function KS(r){return new Pf(r)}function JY(r){return KS(r)}function QY(r){return KS(r)}function jS(r){return new Mf(r)}function tZ(r){return jS(r)}function eZ(r){return jS(r)}function rZ(r){return new zf(r)}function nZ(r){return new Vf(r)}function SD(r){return new Bf(r)}function ND(r){return new Gf(r)}function TD(r){return new Rf(r)}function kD(r){return new Of(r)}function oZ(r){return new Lf(r)}function sZ(r){return new lf(r)}function iZ(r){return new vc(r)}function aZ(r){return new uf(r)}function lZ(r){return new ml(r)}function uZ(r){return new af(r)}function cZ(r){return new Ic(r)}function pZ(r){return new cf(r)}function mZ(r){return new Nc(r)}function fZ(r){return new kn(r)}function dZ(r){return new Sc(r)}function hZ(r){return new Uf(r)}function gZ(r){return new Wf(r)}var xZ=SD,yZ=ND,bZ=TD,wZ=kD;function CZ(r){return new kf(r)}function IZ(r){return new Ef(r)}function vZ(r){return new _f(r)}function SZ(r){return new yf(r)}function NZ(r){return new Hf(r)}function TZ(r){return new qf(r)}function kZ(r){return new jf(r)}function EZ(r){return new Kf(r)}var _D={};Ut(_D,{MAPE:()=>zZ,MSE:()=>GZ,binaryAccuracy:()=>_Z,binaryCrossentropy:()=>AZ,categoricalAccuracy:()=>DZ,categoricalCrossentropy:()=>RZ,cosineProximity:()=>PZ,mape:()=>BZ,meanAbsoluteError:()=>LZ,meanAbsolutePercentageError:()=>MZ,meanSquaredError:()=>VZ,mse:()=>WZ,precision:()=>FZ,recall:()=>OZ,sparseCategoricalAccuracy:()=>$Z});function _Z(r,t){return Eh(r,t)}function AZ(r,t){return Wy(r,t)}function $Z(r,t){return Uy(r,t)}function DZ(r,t){return _h(r,t)}function RZ(r,t){return Ah(r,t)}function FZ(r,t){return FS(r,t)}function OZ(r,t){return Q$(r,t)}function PZ(r,t){return kh(r,t)}function LZ(r,t){return Gm(r,t)}function MZ(r,t){return du(r,t)}function zZ(r,t){return du(r,t)}function BZ(r,t){return du(r,t)}function VZ(r,t){return ji(r,t)}function GZ(r,t){return ji(r,t)}function WZ(r,t){return ji(r,t)}var AD={};Ut(AD,{modelFromJSON:()=>dD});var $D={};Ut($D,{l1:()=>HZ,l1l2:()=>UZ,l2:()=>qZ});function UZ(r){return new hu(r)}function HZ(r){return yD(r)}function qZ(r){return bD(r)}var vb=class extends ll{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Vn))throw new Error("model must be a LayersModel, not some other Container");this.model=t}};function Ib(r,t){return rt}var Sb=class extends vb{constructor(t){if(super(),t==null&&(t={}),t.restoreBestWeights)throw new vt("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=t.monitor||"val_loss",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||"auto",this.baseline=t.baseline,["auto","min","max"].indexOf(this.mode)===-1&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),this.mode==="min"?this.monitorFunc=Ib:this.mode==="max"?this.monitorFunc=DD:this.monitor.indexOf("acc")!==-1?this.monitorFunc=DD:this.monitorFunc=Ib,this.monitorFunc===Ib&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ib?1/0:-1/0}async onEpochEnd(t,e){await Ki(e);let n=this.getMonitorValue(e);n!=null&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){t==null&&(t={});let e=t[this.monitor];return e==null&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: ${Object.keys(t)}`),e}};function KZ(r){return new Sb(r)}var jZ={earlyStopping:KZ};var XZ=M();XZ.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var io;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(io||(io={}));var RD;(function(r){let t;(function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"})(t=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(RD||(RD={}));var XS={};function ZZ(r,t){let e={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:t};XS[r]=e}function Nb(r){return XS[r]}function JZ(r){delete XS[r]}function I(r,t,e,n,o){let s=t.inputParams[r];if(s&&s.inputIndexStart!==void 0){let a=s.inputIndexStart,u=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?a+1:s.inputIndexEnd;if(s.type==="tensor")return Cr(t.inputNames[s.inputIndexStart],e,n,o);if(s.type==="tensors")return t.inputNames.slice(a,u).map(m=>Cr(m,e,n,o));let l=Cr(t.inputNames.slice(a)[0],e,n,o),c=l.dataSync();return s.type==="number"?c[0]:y.toNestedArray(l.shape,c)}let i=t.attrParams[r];return i&&i.value}function Cr(r,t,e,n){let[o,s]=bn(r);if(n!=null){let a=n.getHashTableHandleByName(o);if(a!=null)return a}let i=e.currentContextIds.find(a=>!!t[Tb(o,a)]);return i!==void 0?t[Tb(o,i)][s]:void 0}function FD(r,t,e){return t[Tb(r,e.currentContextId)]}function Zs(r,t){let[e,n,o]=bn(r);return[Tb(e,t&&t.currentContextId),n,o]}function Tb(r,t){return t?`${r}-${t}`:r}function bn(r){let t=r.split(":");if(t.length===1)return[r,0,void 0];let e=t[0],n=t.length===3?t[1]:void 0,o=Number(t[t.length-1]);return[e,o,n]}function Oh(r,t,e){let n=I("pad",r,t,e);if(n==="explicit"){n=I("explicitPaddings",r,t,e);let o=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)o[s][0]=n[s*2],o[s][1]=n[s*2+1];return o}return n}function Js(r){return r.kept?r:an(r)}var YS={};Ut(YS,{json:()=>QZ});var QZ=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var ZS={};Ut(ZS,{json:()=>t7});var t7=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var JS={};Ut(JS,{json:()=>e7});var e7=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var QS={};Ut(QS,{json:()=>r7});var r7=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var tN={};Ut(tN,{json:()=>n7});var n7=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var eN={};Ut(eN,{json:()=>o7});var o7=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var rN={};Ut(rN,{json:()=>s7});var s7=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var nN={};Ut(nN,{json:()=>i7});var i7=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var oN={};Ut(oN,{json:()=>a7});var a7=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}];var sN={};Ut(sN,{json:()=>l7});var l7=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var iN={};Ut(iN,{json:()=>u7});var u7=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var aN={};Ut(aN,{json:()=>c7});var c7=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}];var lN={};Ut(lN,{json:()=>p7});var p7=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}];var uN={};Ut(uN,{json:()=>m7});var m7=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var cN={};Ut(cN,{json:()=>f7});var f7=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}];var pN={};Ut(pN,{json:()=>d7});var d7=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var mN={};Ut(mN,{json:()=>h7});var h7=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var fN={};Ut(fN,{json:()=>g7});var g7=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var dN={};Ut(dN,{json:()=>x7});var x7=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var Ph=class{constructor(){let t=[YS,ZS,JS,QS,tN,eN,rN,nN,oN,sN,iN,aN,lN,uN,cN,pN,mN,fN,dN],e=[].concat(...t.map(n=>n.json));this.opMappers=e.reduce((n,o)=>(n[o.tfOpName]=o,n),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(t,e={}){let n=t.node,o=[],s=[],i=[],a=n.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?o.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&i.push(h[g.name]),h),{}),u=[],l=[],c={},p={};e!=null&&(c=this.mapSignatureEntries(e.inputs),p=this.mapSignatureEntries(e.outputs));let m=Object.keys(a);m.forEach(h=>{let g=a[h];g.inputNames.forEach((x,b)=>{let[w,,C]=Zs(x),N=a[w];if(N.outputs!=null){let _=N.outputs.indexOf(C);if(_!==-1){let A=`${w}:${_}`;g.inputNames[b]=A}}g.inputs.push(N),N.children.push(g)})}),Object.keys(p).length===0?m.forEach(h=>{let g=a[h];g.children.length===0&&l.push(g)}):Object.keys(p).forEach(h=>{let[g]=Zs(h),x=a[g];x!=null&&(x.signatureKey=p[h],l.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Zs(h),x=a[g];x&&(x.signatureKey=c[h],u.push(x))}):u=o;let f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let d={nodes:a,inputs:u,outputs:l,weights:s,placeholders:o,signature:e,functions:f};return i.length>0&&(d.initNodes=i),d}mapSignatureEntries(t){return Object.keys(t||{}).reduce((e,n)=>(e[t[n].name]=n,e),{})}mapNode(t){let e=Nb(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});let n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(o=>o.startsWith("^")?o.slice(1):o),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr,outputs:e.outputs};return e.inputs!=null&&(n.inputParams=e.inputs.reduce((o,s)=>(o[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},o),{})),e.attrs!=null&&(n.attrParams=e.attrs.reduce((o,s)=>{let i=s.type,a;switch(s.type){case"string":a=kb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=kb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":a=Fb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Fb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":a=_b(t.attr,s.tfName,s.defaultValue||0),a===void 0&&s.tfDeprecatedName&&(a=_b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":a=Rb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Rb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":a=Eb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Eb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":a=Pb(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Pb(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":a=Db(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Db(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":a=Ob(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Ob(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":a=Ab(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=Ab(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":a=$b(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=$b(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":a=OD(t.attr,s.tfName,s.defaultValue),a===void 0&&s.tfDeprecatedName&&(a=OD(t.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${t.op}`)}return o[s.name]={value:a,type:i},o},{})),n}mapFunction(t){let e=t.nodeDef,n=[],o=[],s={};e!=null&&(s=e.reduce((p,m)=>(p[m.name]=this.mapNode(m),m.op==="Const"&&o.push(p[m.name]),p),{}));let i=[],a=[];t.signature.inputArg.forEach(p=>{let[m]=Zs(p.name),f={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:hN(p.type),type:"dtype"}},children:[]};f.signatureKey=p.name,i.push(f),s[m]=f}),Object.keys(s).forEach(p=>{let m=s[p];m.inputNames.forEach((f,d)=>{let[h,,g]=Zs(f),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[d]=w}}m.inputs.push(x),x.children.push(m)})});let l=t.ret;t.signature.outputArg.forEach(p=>{let[m,f]=Zs(l[p.name]),d=s[m];d!=null&&(d.defaultOutput=f,a.push(d))});let c=this.mapArgsToSignature(t);return{nodes:s,inputs:i,outputs:a,weights:o,placeholders:n,signature:c}}mapArgsToSignature(t){return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n),e),{}),outputs:t.signature.outputArg.reduce((e,n)=>(e[n.name]=this.mapArgToTensorInfo(n,t.ret),e),{})}}mapArgToTensorInfo(t,e){let n=t.name;return e!=null&&(n=e[n]),{name:n,dtype:t.type}}};function y7(r){let t=M().global;if(typeof t.atob!="undefined")return t.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function PD(r,t){let e=Array.isArray(r)?String.fromCharCode.apply(null,r):y7(r);return t?e:e.toLowerCase()}function kb(r,t,e,n=!1){let o=r[t];return o!=null?PD(o.s,n):e}function Eb(r,t,e){let n=r[t];return n?n.b:e}function _b(r,t,e){let n=r[t]||{},o=n.i!=null?n.i:n.f!=null?n.f:e;return typeof o=="number"?o:parseInt(o,10)}function hN(r){switch(typeof r=="string"&&(r=io[r]),r){case io.DT_FLOAT:case io.DT_HALF:return"float32";case io.DT_INT32:case io.DT_INT64:case io.DT_INT8:case io.DT_UINT8:return"int32";case io.DT_BOOL:return"bool";case io.DT_DOUBLE:return"float32";case io.DT_STRING:return"string";default:return null}}function OD(r,t,e){let n=r[t];return n&&n.func?n.func.name:e}function Ab(r,t,e){let n=r[t];return n&&n.type?hN(n.type):e}function $b(r,t,e){let n=r[t];return n&&n.list&&n.list.type?n.list.type.map(o=>hN(o)):e}function LD(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function Db(r,t,e){let n=r[t];return n&&n.shape?LD(n.shape):e}function Rb(r,t,e){let n=r[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(o=>typeof o=="number"?o:parseInt(o,10)):e}function Fb(r,t,e,n=!1){let o=r[t];return o&&o.list&&o.list.s?o.list.s.map(s=>PD(s,n)):e}function Ob(r,t,e){let n=r[t];return n&&n.list&&n.list.shape?n.list.shape.map(o=>LD(o)):e}function Pb(r,t,e){let n=r[t];return n&&n.list&&n.list.b?n.list.b:e}var Lb=class{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(o=>this.getInput(o)),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce((o,s)=>(o[s]=this.getAttr(s),o),{}))}getInput(t){return Cr(t,this.tensorMap,this.context)}getAttr(t,e){let n=this.node.rawAttrs[t];if(n.tensor!=null)return Cr(t,this.tensorMap,this.context);if(n.i!=null||n.f!=null)return _b(this.node.rawAttrs,t,e);if(n.s!=null)return kb(this.node.rawAttrs,t,e);if(n.b!=null)return Eb(this.node.rawAttrs,t,e);if(n.shape!=null)return Db(this.node.rawAttrs,t,e);if(n.type!=null)return Ab(this.node.rawAttrs,t,e);if(n.list!=null){if(n.list.i!=null||n.list.f!=null)return Rb(this.node.rawAttrs,t,e);if(n.list.s!=null)return Fb(this.node.rawAttrs,t,e);if(n.list.shape!=null)return Ob(this.node.rawAttrs,t,e);if(n.list.b!=null)return Pb(this.node.rawAttrs,t,e);if(n.list.type!=null)return $b(this.node.rawAttrs,t,e)}return e}};var se={};Ut(se,{OP_SCOPE_SUFFIX:()=>A0,abs:()=>Ee,acos:()=>tx,acosh:()=>ex,add:()=>Y,addN:()=>uE,all:()=>Jp,any:()=>Gu,argMax:()=>Ai,argMin:()=>rx,asin:()=>nx,asinh:()=>ox,atan:()=>sx,atan2:()=>ix,atanh:()=>ax,avgPool:()=>Zl,avgPool3d:()=>lx,basicLSTMCell:()=>mE,batchNorm:()=>Ri,batchNorm2d:()=>ux,batchNorm3d:()=>cx,batchNorm4d:()=>px,batchToSpaceND:()=>Jl,bincount:()=>mx,booleanMaskAsync:()=>Oj,broadcastArgs:()=>dE,broadcastTo:()=>Fi,buffer:()=>bt,cast:()=>J,ceil:()=>fx,clipByValue:()=>vr,clone:()=>an,complex:()=>In,concat:()=>oe,concat1d:()=>dx,concat2d:()=>hx,concat3d:()=>gx,concat4d:()=>xx,conv1d:()=>tm,conv2d:()=>vn,conv2dTranspose:()=>rm,conv3d:()=>yx,conv3dTranspose:()=>wx,cos:()=>Ql,cosh:()=>nm,cosineWindow:()=>fh,cumprod:()=>Uu,cumsum:()=>om,denseBincount:()=>ah,depthToSpace:()=>Cx,depthwiseConv2d:()=>Oi,diag:()=>hE,dilation2d:()=>Ix,div:()=>ut,divNoNan:()=>vx,dot:()=>Sx,dropout:()=>nS,einsum:()=>xE,elu:()=>Pi,enclosingPowerOfTwo:()=>oS,equal:()=>Dr,erf:()=>Nx,euclideanNorm:()=>Tx,exp:()=>sr,expandDims:()=>ir,expm1:()=>kx,eye:()=>Hu,fft:()=>lu,fill:()=>yo,floor:()=>Li,floorDiv:()=>Zp,fused:()=>cu,gather:()=>Mi,gatherND:()=>Hj,greater:()=>Fe,greaterEqual:()=>un,ifft:()=>el,imag:()=>tu,image:()=>oo,inTopKAsync:()=>jj,irfft:()=>ym,isFinite:()=>Ex,isInf:()=>_x,isNaN:()=>Ax,leakyRelu:()=>eu,less:()=>sm,lessEqual:()=>Mn,linalg:()=>iS,linspace:()=>wE,localResponseNormalization:()=>$x,log:()=>Nr,log1p:()=>ru,logSigmoid:()=>Fx,logSoftmax:()=>im,logSumExp:()=>am,logicalAnd:()=>Fr,logicalNot:()=>nu,logicalOr:()=>lm,logicalXor:()=>Ox,losses:()=>j6,lowerBound:()=>CE,matMul:()=>Mt,max:()=>Sr,maxPool:()=>ou,maxPool3d:()=>Lx,maxPoolWithArgmax:()=>IE,maximum:()=>Sn,mean:()=>Ne,meshgrid:()=>vE,min:()=>Ja,minimum:()=>zi,mirrorPad:()=>Mx,mod:()=>zx,moments:()=>qu,movingAverage:()=>Mj,mul:()=>D,multiRNNCell:()=>SE,multinomial:()=>NE,neg:()=>qt,norm:()=>Qa,notEqual:()=>Gs,oneHot:()=>Bi,ones:()=>fr,onesLike:()=>wr,op:()=>T,outerProduct:()=>TE,pad:()=>pn,pad1d:()=>kE,pad2d:()=>EE,pad3d:()=>_E,pad4d:()=>AE,pool:()=>Bx,pow:()=>ln,prelu:()=>iu,print:()=>Qg,prod:()=>Vx,raggedGather:()=>$E,raggedRange:()=>DE,raggedTensorToTensor:()=>RE,rand:()=>FE,randomGamma:()=>e_,randomNormal:()=>Xu,randomStandardNormal:()=>r_,randomUniform:()=>Vi,range:()=>Gi,real:()=>tl,reciprocal:()=>Kx,relu:()=>Or,relu6:()=>um,reshape:()=>R,reverse:()=>dr,reverse1d:()=>n_,reverse2d:()=>o_,reverse3d:()=>s_,reverse4d:()=>i_,rfft:()=>uu,round:()=>cm,rsqrt:()=>pm,scalar:()=>pt,scatterND:()=>Bj,searchSorted:()=>uh,selu:()=>mm,separableConv2d:()=>fm,setdiff1dAsync:()=>a_,sigmoid:()=>Qr,sign:()=>jx,signal:()=>K6,sin:()=>dm,sinh:()=>hm,slice:()=>Rt,slice1d:()=>gm,slice2d:()=>ph,slice3d:()=>xm,slice4d:()=>Yu,softmax:()=>au,softplus:()=>Vs,spaceToBatchND:()=>su,sparse:()=>X6,sparseToDense:()=>Wj,spectral:()=>q6,split:()=>hr,sqrt:()=>Se,square:()=>zt,squaredDifference:()=>bm,squeeze:()=>zn,stack:()=>qe,step:()=>wo,stridedSlice:()=>Xx,string:()=>Y6,sub:()=>lt,sum:()=>mt,tan:()=>Yx,tanh:()=>Di,tensor:()=>or,tensor1d:()=>Ke,tensor2d:()=>Ws,tensor3d:()=>Zx,tensor4d:()=>l_,tensor5d:()=>u_,tensor6d:()=>c_,tile:()=>Rr,topk:()=>Jx,transpose:()=>Pt,truncatedNormal:()=>wm,unique:()=>Qx,unsortedSegmentSum:()=>Cm,unstack:()=>gr,upperBound:()=>p_,variable:()=>ty,where:()=>_e,whereAsync:()=>ry,zeros:()=>Te,zerosLike:()=>It});var MD=(r,t,e,n=se)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(I("a",r,t,e),I("b",r,t,e))];case"AddN":return[n.addN(I("tensors",r,t,e))];case"FloorMod":case"Mod":return[n.mod(I("a",r,t,e),I("b",r,t,e))];case"Mul":return[n.mul(I("a",r,t,e),I("b",r,t,e))];case"RealDiv":case"Div":return[n.div(I("a",r,t,e),I("b",r,t,e))];case"DivNoNan":return[n.divNoNan(I("a",r,t,e),I("b",r,t,e))];case"FloorDiv":return[n.floorDiv(I("a",r,t,e),I("b",r,t,e))];case"Sub":return[n.sub(I("a",r,t,e),I("b",r,t,e))];case"Minimum":return[n.minimum(I("a",r,t,e),I("b",r,t,e))];case"Maximum":return[n.maximum(I("a",r,t,e),I("b",r,t,e))];case"Pow":return[n.pow(I("a",r,t,e),I("b",r,t,e))];case"SquaredDifference":return[n.squaredDifference(I("a",r,t,e),I("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var zD=(r,t,e,n=se)=>{switch(r.op){case"Abs":case"ComplexAbs":return[n.abs(I("x",r,t,e))];case"Acos":return[n.acos(I("x",r,t,e))];case"Acosh":return[n.acosh(I("x",r,t,e))];case"Asin":return[n.asin(I("x",r,t,e))];case"Asinh":return[n.asinh(I("x",r,t,e))];case"Atan":return[n.atan(I("x",r,t,e))];case"Atan2":return[n.atan2(I("x",r,t,e),I("y",r,t,e))];case"Atanh":return[n.atanh(I("x",r,t,e))];case"Ceil":return[n.ceil(I("x",r,t,e))];case"Complex":return[n.complex(I("real",r,t,e),I("imag",r,t,e))];case"Cos":return[n.cos(I("x",r,t,e))];case"Cosh":return[n.cosh(I("x",r,t,e))];case"Elu":return[n.elu(I("x",r,t,e))];case"Erf":return[n.erf(I("x",r,t,e))];case"Exp":return[n.exp(I("x",r,t,e))];case"Expm1":return[n.expm1(I("x",r,t,e))];case"Floor":return[n.floor(I("x",r,t,e))];case"Log":return[n.log(I("x",r,t,e))];case"Log1p":return[n.log1p(I("x",r,t,e))];case"Imag":return[n.imag(I("x",r,t,e))];case"Neg":return[n.neg(I("x",r,t,e))];case"Reciprocal":return[n.reciprocal(I("x",r,t,e))];case"Real":return[n.real(I("x",r,t,e))];case"Relu":return[n.relu(I("x",r,t,e))];case"Round":return[n.round(I("x",r,t,e))];case"Selu":return[n.selu(I("x",r,t,e))];case"Sigmoid":return[n.sigmoid(I("x",r,t,e))];case"Sin":return[n.sin(I("x",r,t,e))];case"Sign":return[n.sign(I("x",r,t,e))];case"Sinh":return[n.sinh(I("x",r,t,e))];case"Softplus":return[n.softplus(I("x",r,t,e))];case"Sqrt":return[n.sqrt(I("x",r,t,e))];case"Square":return[n.square(I("x",r,t,e))];case"Tanh":return[n.tanh(I("x",r,t,e))];case"Tan":return[n.tan(I("x",r,t,e))];case"ClipByValue":return[n.clipByValue(I("x",r,t,e),I("clipValueMin",r,t,e),I("clipValueMax",r,t,e))];case"Relu6":return[n.relu6(I("x",r,t,e))];case"Rsqrt":return[n.rsqrt(Cr(r.inputNames[0],t,e))];case"Prod":return[n.prod(I("x",r,t,e),I("axes",r,t,e))];case"LeakyRelu":return[n.leakyRelu(I("x",r,t,e),I("alpha",r,t,e))];case"Prelu":return[n.prelu(I("x",r,t,e),I("alpha",r,t,e))];case"IsNan":return[n.isNaN(Cr(r.inputNames[0],t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Gn(r,t,e=""){if(!(typeof r=="number"||typeof t=="number")){y.assert(r.length===t.length,()=>e+` Shapes ${r} and ${t} must match`);for(let n=0;ne+` Shapes ${r} and ${t} must match`)}}}function BD(r){return!(typeof r=="number"||r.some(t=>t<0))}function Xf(r,t,e){let n=Mb(r,e),o=!BD(n);if(o&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(o&&t.forEach(s=>{n=Mb(s.shape,n)}),!BD(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function Mb(r,t){if(typeof r=="number")return t;if(typeof t=="number")return r;if(r.length!==t.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${t}`);let e=[];for(let n=0;n=0&&s>=0&&o!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${t}`);e[n]=o>=0?o:s}return e}var zb=class{constructor(t,e,n,o,s,i,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=o,this.identicalElementShapes=s,this.dynamicSize=i,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=pt(0),De(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);let e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(e=>this.read(e))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);let n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, + because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),Gn(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,De(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((n,o)=>this.write(n,e[o]))}gather(t,e){if(e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let o=0;o=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,gr(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0,o=t.map(u=>(n+=u,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Gn(e,s.shape,"TensorList shape mismatch: "),De(s)}),this.idTensor=pt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Gn(t,this.elementShape,"TensorList shape mismatch: ");let o=Xf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return qe(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Xf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Gn(o.shape,t,"TensorList shape mismatch: "),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Gn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new hl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Gn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=Xf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Gn(this.elementShape,e.shape,"TensorList shape mismatch: "),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Gn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=Xf(this.elementShape,this.tensors,n);return t.length===0?or([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return qe(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Gn(this.elementShape,e,"TensorList shape mismatch: ");let n=Xf(this.elementShape,this.tensors,e);return this.size()===0?or([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return oe(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Gn(o,t,"TensorList shape mismatch: ");let s=gr(r);return new hl(s,t,n)}function GD(r,t,e,n){return new hl([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new hl([],e,r.dtype,n),i=gr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];B(()=>{e=R(e,[1,n,s]);for(let u=0;u{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Gn(e,s.shape,"TensorList shape mismatch: "),De(s)}),this.idTensor=pt(0),this.maxNumElements=o,De(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Gn(t,this.elementShape,"TensorList shape mismatch: ");let o=Xf(this.elementShape,this.tensors,t);return B(()=>{let s=this.tensors.map(i=>R(i,o));return qe(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Xf(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Gn(o.shape,t,"TensorList shape mismatch: "),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Gn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");De(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new hl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;nthis.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Gn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=Xf(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Gn(this.elementShape,e.shape,"TensorList shape mismatch: "),De(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Gn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=Xf(this.elementShape,this.tensors,n);return t.length===0?or([],[0].concat(o)):B(()=>{let s=t.map(i=>R(this.tensors[i],o));return qe(s,0)})}concat(t,e){if(t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Gn(this.elementShape,e,"TensorList shape mismatch: ");let n=Xf(this.elementShape,this.tensors,e);return this.size()===0?or([],[0].concat(n)):B(()=>{let o=this.tensors.map(s=>R(s,n));return oe(o,0)})}};function VD(r,t,e){let n=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==e)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${e}`);let o=r.shape.slice(1);Gn(o,t,"TensorList shape mismatch: ");let s=gr(r);return new hl(s,t,n)}function GD(r,t,e,n){return new hl([],r,t,n)}function WD(r,t,e,n){if(t.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${r.shape[0]}`);let o=Math.max(...t);if(n!=null&&n!==-1&&o>=n)throw new Error(`Max index must be < array size (${o} vs. ${n})`);let s=new hl([],e,r.dtype,n),i=gr(r,0);return t.forEach((a,u)=>{s.setItem(a,i[u])}),s}function UD(r,t,e){let n=0,o=t.map(c=>(n+=c,n));if(n!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case"If":case"StatelessIf":{let n=I("thenBranch",r,t,e),o=I("elseBranch",r,t,e),s=I("cond",r,t,e),i=I("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=I("body",r,t,e),o=I("cond",r,t,e),s=I("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=I("pred",r,t,e);return[Js(n)]}case"Switch":{let n=I("pred",r,t,e),o=I("data",r,t,e);return o.kept||(o=Js(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>Cr(o,t,e)!==void 0);if(n){let o=Cr(n,t,e);return[Js(o)]}return}case"Enter":{let n=I("frameName",r,t,e),o=I("tensor",r,t,e);return e.enterFrame(n),[Js(o)]}case"Exit":{let n=I("tensor",r,t,e);return e.exitFrame(),[Js(n)]}case"NextIteration":{let n=I("tensor",r,t,e);return e.nextIteration(),[Js(n)]}case"TensorArrayV3":{let n=I("size",r,t,e),o=I("dtype",r,t,e),s=I("elementShape",r,t,e),i=I("dynamicSize",r,t,e),a=I("clearAfterRead",r,t,e),u=I("identicalElementShapes",r,t,e),l=I("name",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,pt(1)]}case"TensorArrayWriteV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=I("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=I("tensorArrayId",r,t,e),o=I("tensor",r,t,e),s=I("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[pt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("elementShape",r,t,e),i=I("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=I("indices",r,t,e),o=I("tensor",r,t,e),s=I("elementShape",r,t,e),i=I("numElements",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=I("elementShape",r,t,e),o=I("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=I("tensorListId",r,t,e),o=I("indices",r,t,e),s=I("elementShape",r,t,e),i=I("elementDType",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case"TensorListStack":{let n=I("tensorListId",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e),i=I("numElements",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case"TensorListFromTensor":{let n=I("tensor",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=I("tensorListId",r,t,e),o=e.getTensorList(n.id),s=I("dtype",r,t,e),i=I("elementShape",r,t,e);return[o.concat(s,i)]}case"TensorListPushBack":{let n=I("tensorListId",r,t,e),o=I("tensor",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case"TensorListPopBack":{let n=I("tensorListId",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case"TensorListSplit":{let n=I("tensor",r,t,e),o=I("elementShape",r,t,e),s=I("lengths",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=I("tensorListId",r,t,e),o=e.getTensorList(n.id);return[pt(o.size(),"int32")]}case"TensorListResize":{let n=I("tensorListId",r,t,e),o=I("size",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=I("fusedOps",r,t,e),s=n==="biasadd",i=!s,a=o==="prelu",u=n==="fusedbatchnorm",l=I("numArgs",r,t,e);if(s){if(a&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&s&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=I("strides",r,t,e),p=Oh(r,t,e),m=I("dataFormat",r,t,e).toUpperCase(),f=I("dilations",r,t,e),[d,h]=I("args",r,t,e);i&&(h=d,d=void 0);let g=I("leakyreluAlpha",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=se)=>{switch(r.op){case"Conv1D":{let o=I("stride",r,t,e),s=I("pad",r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilation",r,t,e);return[n.conv1d(I("x",r,t,e),I("filter",r,t,e),o,s,i,a)]}case"Conv2D":{let o=I("strides",r,t,e),s=Oh(r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilations",r,t,e);return[n.conv2d(I("x",r,t,e),I("filter",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case"_FusedConv2D":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:I("x",r,t,e),filter:I("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"FusedDepthwiseConv2dNative":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:I("x",r,t,e),filter:I("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let o=I("outputShape",r,t,e),s=I("strides",r,t,e),i=Oh(r,t,e);return[n.conv2dTranspose(I("x",r,t,e),I("filter",r,t,e),o,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let o=I("strides",r,t,e),s=Oh(r,t,e),i=I("dilations",r,t,e),a=I("dataFormat",r,t,e).toUpperCase();return[n.depthwiseConv2d(I("input",r,t,e),I("filter",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case"Conv3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilations",r,t,e);return[n.conv3d(I("x",r,t,e),I("filter",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case"AvgPool":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.avgPool(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPool":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.maxPool(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPoolWithArgmax":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e),a=I("includeBatchInIndex",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case"AvgPool3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.avgPool3d(I("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"MaxPool3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.maxPool3d(I("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"Dilation2D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("dilations",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(I("x",r,t,e),I("filter",r,t,e),[a,u],s,[l,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=se)=>{switch(r.op){case"Fill":{let o=I("shape",r,t,e),s=I("dtype",r,t,e),i=I("value",r,t,e);return[n.fill(o,i,s)]}case"LinSpace":{let o=I("start",r,t,e),s=I("stop",r,t,e),i=I("num",r,t,e);return[n.linspace(o,s,i)]}case"Multinomial":{let o=I("logits",r,t,e),s=I("numSamples",r,t,e),i=I("seed",r,t,e);return[n.multinomial(o,s,i)]}case"OneHot":{let o=I("indices",r,t,e),s=I("depth",r,t,e),i=I("onValue",r,t,e),a=I("offValue",r,t,e),u=I("dtype",r,t,e);return[n.oneHot(o,s,i,a,u)]}case"Ones":return[n.ones(I("shape",r,t,e),I("dtype",r,t,e))];case"OnesLike":return[n.onesLike(I("x",r,t,e))];case"RandomStandardNormal":return[n.randomStandardNormal(I("shape",r,t,e),I("dtype",r,t,e),I("seed",r,t,e))];case"RandomUniform":return[n.randomUniform(I("shape",r,t,e),I("minval",r,t,e),I("maxval",r,t,e),I("dtype",r,t,e))];case"Range":{let o=I("start",r,t,e),s=I("stop",r,t,e),i=I("step",r,t,e);return[n.range(o,s,i,I("dtype",r,t,e))]}case"TruncatedNormal":{let o=I("shape",r,t,e),s=I("mean",r,t,e),i=I("stdDev",r,t,e),a=I("seed",r,t,e);return[n.truncatedNormal(o,s,i,I("dtype",r,t,e),a)]}case"Zeros":return[n.zeros(I("shape",r,t,e),I("dtype",r,t,e))];case"ZerosLike":return[n.zerosLike(I("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function gN(r,t,e){let n=I("boxes",r,t,e),o=I("scores",r,t,e),s=I("maxOutputSize",r,t,e),i=I("iouThreshold",r,t,e),a=I("scoreThreshold",r,t,e),u=I("softNmsSigma",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=se)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=gN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e),c=I("padToMaxOutputSize",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case"Where":{let s=o.cast(I("condition",r,t,e),"bool"),i=[await o.whereAsync(s)];return s.dispose(),i}case"ListDiff":return o.setdiff1dAsync(I("x",r,t,e),I("y",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=se)=>{switch(r.op){case"LowerBound":{let o=I("sortedSequence",r,t,e),s=I("values",r,t,e);return[n.lowerBound(o,s)]}case"TopKV2":{let o=I("x",r,t,e),s=I("k",r,t,e),i=I("sorted",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case"UpperBound":{let o=I("sortedSequence",r,t,e),s=I("values",r,t,e);return[n.upperBound(o,s)]}case"Unique":{let o=I("x",r,t,e),s=n.unique(o);return[s.values,s.indices]}case"UniqueV2":{let o=I("x",r,t,e),s=I("axis",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=se)=>{switch(r.op){case"Const":return t[r.name];case"PlaceholderWithDefault":let o=I("default",r,t,e);return[Cr(r.name,t,e)||o];case"Placeholder":return[Cr(r.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=I("x",r,t,e);return[Js(c)]}case"IdentityN":return I("x",r,t,e).map(c=>Js(c));case"Snapshot":let s=I("x",r,t,e);return[Js(s)];case"Shape":return[n.tensor1d(I("x",r,t,e).shape,"int32")];case"ShapeN":return I("x",r,t,e).map(c=>n.tensor1d(c.shape));case"Size":return[n.scalar(I("x",r,t,e).size,"int32")];case"Rank":return[n.scalar(I("x",r,t,e).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=I("x",r,t,e),a=I("data",r,t,e),u=I("message",r,t,e),l=I("summarize",r,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return pt(this.size(),"int32")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=gr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=I("keyDType",r,t,e),i=I("valueDType",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let o=I("tableHandle",r,t,e,n),s=I("keys",r,t,e),i=I("values",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let o=I("tableHandle",r,t,e,n),s=I("keys",r,t,e),i=I("defaultValue",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let o=I("tableHandle",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=se)=>{switch(r.op){case"ResizeBilinear":{let o=I("images",r,t,e),s=I("size",r,t,e),i=I("alignCorners",r,t,e),a=I("halfPixelCenters",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case"ResizeNearestNeighbor":{let o=I("images",r,t,e),s=I("size",r,t,e),i=I("alignCorners",r,t,e),a=I("halfPixelCenters",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case"CropAndResize":{let o=I("image",r,t,e),s=I("boxes",r,t,e),i=I("boxInd",r,t,e),a=I("cropSize",r,t,e),u=I("method",r,t,e),l=I("extrapolationValue",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case"ImageProjectiveTransformV3":{let o=I("images",r,t,e),s=I("transforms",r,t,e),i=I("outputShape",r,t,e),a=I("fillValue",r,t,e),u=I("interpolation",r,t,e),l=I("fillMode",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=se)=>{switch(r.op){case"Equal":return[n.equal(I("a",r,t,e),I("b",r,t,e))];case"NotEqual":return[n.notEqual(I("a",r,t,e),I("b",r,t,e))];case"Greater":return[n.greater(I("a",r,t,e),I("b",r,t,e))];case"GreaterEqual":return[n.greaterEqual(I("a",r,t,e),I("b",r,t,e))];case"Less":return[n.less(I("a",r,t,e),I("b",r,t,e))];case"LessEqual":return[n.lessEqual(I("a",r,t,e),I("b",r,t,e))];case"LogicalAnd":return[n.logicalAnd(I("a",r,t,e),I("b",r,t,e))];case"LogicalNot":return[n.logicalNot(I("a",r,t,e))];case"LogicalOr":return[n.logicalOr(I("a",r,t,e),I("b",r,t,e))];case"Select":case"SelectV2":return[n.where(I("condition",r,t,e),I("a",r,t,e),I("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=se)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(I("a",r,t,e),I("b",r,t,e),I("transposeA",r,t,e),I("transposeB",r,t,e))];case"Einsum":return[n.einsum(I("equation",r,t,e),...I("tensors",r,t,e))];case"Transpose":return[n.transpose(I("x",r,t,e),I("perm",r,t,e))];case"_FusedMatMul":let[o,s]=I("fusedOps",r,t,e),i=o==="biasadd",a=s==="prelu",u=I("numArgs",r,t,e),l=I("leakyreluAlpha",r,t,e);if(i){if(a&&u!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&u!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,p]=I("args",r,t,e);return[n.fused.matMul({a:I("a",r,t,e),b:I("b",r,t,e),transposeA:I("transposeA",r,t,e),transposeB:I("transposeB",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=se)=>{switch(r.op){case"EuclideanNorm":return[n.euclideanNorm(I("x",r,t,e),I("axis",r,t,e),I("keepDims",r,t,e))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(I("x",r,t,e),I("mean",r,t,e),I("variance",r,t,e),I("offset",r,t,e),I("scale",r,t,e),I("epsilon",r,t,e))];case"FusedBatchNormV3":return[n.batchNorm(I("x",r,t,e),I("mean",r,t,e),I("variance",r,t,e),I("offset",r,t,e),I("scale",r,t,e),I("epsilon",r,t,e))];case"LRN":return[n.localResponseNormalization(I("x",r,t,e),I("radius",r,t,e),I("bias",r,t,e),I("alpha",r,t,e),I("beta",r,t,e))];case"Softmax":return[n.softmax(I("x",r,t,e))];case"LogSoftmax":return[n.logSoftmax(I("x",r,t,e))];case"SparseToDense":return[n.sparseToDense(I("sparseIndices",r,t,e),I("outputShape",r,t,e),I("sparseValues",r,t,e),I("defaultValue",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=se)=>{switch(r.op){case"RaggedGather":{let{outputNestedSplits:o,outputDenseValues:s}=n.raggedGather(I("paramsNestedSplits",r,t,e),I("paramsDenseValues",r,t,e),I("indices",r,t,e),I("outputRaggedRank",r,t,e));return o.concat(s)}case"RaggedRange":{let{rtNestedSplits:o,rtDenseValues:s}=n.raggedRange(I("starts",r,t,e),I("limits",r,t,e),I("splits",r,t,e));return[o,s]}case"RaggedTensorToTensor":return[n.raggedTensorToTensor(I("shape",r,t,e),I("values",r,t,e),I("defaultValue",r,t,e),I("rowPartitionTensors",r,t,e),I("rowPartitionTypes",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=se)=>{switch(r.op){case"Max":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.max(I("x",r,t,e),a,u)]}case"Mean":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.mean(I("x",r,t,e),a,u)]}case"Min":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.min(I("x",r,t,e),a,u)]}case"Sum":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.sum(I("x",r,t,e),a,u)]}case"All":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.all(I("x",r,t,e),a,u)]}case"Any":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.any(I("x",r,t,e),a,u)]}case"ArgMax":{let a=I("axis",r,t,e);return[n.argMax(I("x",r,t,e),a)]}case"ArgMin":{let a=I("axis",r,t,e);return[n.argMin(I("x",r,t,e),a)]}case"Prod":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.prod(I("x",r,t,e),a,u)]}case"Cumprod":{let a=I("axis",r,t,e),u=I("exclusive",r,t,e),l=I("reverse",r,t,e);return[n.cumprod(I("x",r,t,e),a,u,l)]}case"Cumsum":{let a=I("axis",r,t,e),u=I("exclusive",r,t,e),l=I("reverse",r,t,e);return[n.cumsum(I("x",r,t,e),a,u,l)]}case"Bincount":let o=I("x",r,t,e),s=I("weights",r,t,e),i=I("size",r,t,e);return[n.bincount(o,s,i)];case"DenseBincount":{let a=I("x",r,t,e),u=I("weights",r,t,e),l=I("size",r,t,e),c=I("binaryOutput",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=se)=>{switch(r.op){case"ConcatV2":case"Concat":{let o=I("n",r,t,e),s=I("axis",r,t,e),i=I("tensors",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case"Gather":{let o=I("x",r,t,e),s=I("indices",r,t,e);return[n.gather(o,n.cast(s,"int32"),0)]}case"GatherV2":{let o=I("axis",r,t,e),s=I("batchDims",r,t,e),i=I("x",r,t,e),a=I("indices",r,t,e);return[n.gather(i,n.cast(a,"int32"),o,s)]}case"Reverse":{let o=I("dims",r,t,e),s=[];for(let a=0;a{let o=I("axis",r,t,e),s=I("tensors",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error("the input tensors shape does not match");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case"Unpack":{let o=I("axis",r,t,e),s=I("tensor",r,t,e);return n.unstack(s,o)}case"Tile":{let o=I("reps",r,t,e);return[n.tile(I("x",r,t,e),o)]}case"Split":case"SplitV":{let o=I("axis",r,t,e),s=I("numOrSizeSplits",r,t,e),i=I("x",r,t,e);return n.split(i,s,o)}case"ScatterNd":{let o=I("indices",r,t,e),s=I("values",r,t,e),i=I("shape",r,t,e);return[n.scatterND(o,s,i)]}case"GatherNd":{let o=I("x",r,t,e),s=I("indices",r,t,e);return[n.gatherND(o,s)]}case"SparseToDense":{let o=I("sparseIndices",r,t,e),s=I("outputShape",r,t,e),i=I("sparseValues",r,t,e),a=I("defaultValue",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=se)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(I("indices",r,t,e),I("values",r,t,e),I("denseShape",r,t,e),I("defaultValue",r,t,e));return[o,s,i,a]}case"SparseReshape":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(I("inputIndices",r,t,e),I("inputShape",r,t,e),I("newShape",r,t,e));return[o,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(I("data",r,t,e),I("indices",r,t,e),I("segmentIds",r,t,e))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(I("data",r,t,e),I("indices",r,t,e),I("segmentIds",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=se)=>{switch(r.op){case"FFT":return[n.fft(I("x",r,t,e))];case"IFFT":return[n.ifft(I("x",r,t,e))];case"RFFT":return[n.rfft(I("x",r,t,e))];case"IRFFT":return[n.irfft(I("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=se)=>{switch(r.op){case"StringNGrams":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(I("data",r,t,e),I("dataSplits",r,t,e),I("separator",r,t,e),I("nGramWidths",r,t,e),I("leftPad",r,t,e),I("rightPad",r,t,e),I("padWidth",r,t,e),I("preserveShortSequences",r,t,e));return[o,s]}case"StringSplit":{let{indices:o,values:s,shape:i}=n.string.stringSplit(I("input",r,t,e),I("delimiter",r,t,e),I("skipEmpty",r,t,e));return[o,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(I("input",r,t,e),I("numBuckets",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var uR=(r,t,e,n=se)=>{switch(r.op){case"Cast":return[n.cast(I("x",r,t,e),I("dtype",r,t,e))];case"ExpandDims":{let o=I("axis",r,t,e);return[n.expandDims(I("x",r,t,e),o)]}case"Squeeze":{let o=I("axis",r,t,e);return[n.squeeze(I("x",r,t,e),o)]}case"Reshape":return[n.reshape(I("x",r,t,e),I("shape",r,t,e))];case"MirrorPad":return[n.mirrorPad(I("x",r,t,e),I("padding",r,t,e),I("mode",r,t,e))];case"PadV2":case"Pad":return[n.pad(I("x",r,t,e),I("padding",r,t,e),I("constantValue",r,t,e))];case"SpaceToBatchND":{let o=I("blockShape",r,t,e),s=I("paddings",r,t,e);return[n.spaceToBatchND(I("x",r,t,e),o,s)]}case"BatchToSpaceND":{let o=I("blockShape",r,t,e),s=I("crops",r,t,e);return[n.batchToSpaceND(I("x",r,t,e),o,s)]}case"DepthToSpace":{let o=I("blockSize",r,t,e),s=I("dataFormat",r,t,e).toUpperCase();return[n.depthToSpace(I("x",r,t,e),o,s)]}case"BroadcastTo":return[n.broadcastTo(I("x",r,t,e),I("shape",r,t,e))];case"BroadcastArgs":return[n.broadcastArgs(I("s0",r,t,e),I("s1",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function xN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case"arithmetic":return o(()=>MD(i,a,u));case"basic_math":return o(()=>zD(i,a,u));case"control":return HD(i,a,u);case"convolution":return o(()=>KD(i,a,u));case"creation":return o(()=>jD(i,a,u));case"dynamic":return XD(i,a,u);case"evaluation":return o(()=>YD(i,a,u));case"image":return o(()=>QD(i,a,u));case"graph":return o(()=>ZD(i,a,u));case"logical":return o(()=>tR(i,a,u));case"matrices":return o(()=>eR(i,a,u));case"normalization":return o(()=>rR(i,a,u));case"ragged":return o(()=>nR(i,a,u));case"reduction":return o(()=>oR(i,a,u));case"slice_join":return o(()=>sR(i,a,u));case"sparse":return o(()=>iR(i,a,u));case"spectral":return o(()=>aR(i,a,u));case"string":return o(()=>lR(i,a,u));case"transformation":return o(()=>uR(i,a,u));case"hash_table":return JD(i,a,u,n);case"custom":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Lh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?"":`${e.frameName}-${e.iterationId}`).join("/"):""}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function yN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>bn(m)[0]),c=[];n!=null&&(c=n.map(m=>bn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((bN(m)||G7(m)||W7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function cR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>bn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var z7=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],B7=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],V7=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function bN(r){return z7.indexOf(r.op)>=0}function G7(r){return B7.indexOf(r.op)>=0}function W7(r){return V7.indexOf(r.op)>=0}var kc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new kc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(t,e){let n=yN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return cR(this.graph,this.weightMap,n)}cloneAndKeepTensor(t){if(t==null)return null;let e=t.clone();return De(e),e}cloneTensorList(t){return t?t.map(n=>this.cloneAndKeepTensor(n)):null}cloneTensorMap(t){return Object.fromEntries(Object.entries(t).map(([e,n])=>[e,this.cloneTensorList(n)]))}execute(t,e){this.disposeIntermediateTensors(),t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[bn(p)[0]]),s=e.map(p=>bn(p)[0]),i=s.map(p=>this.graph.nodes[p]);i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));try{this.keepIntermediateTensors=M().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},c={};return B(()=>{let p=new Lh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(t).forEach(h=>{let[g,x]=bn(h),b=[];b[x]=t[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hCr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category==="control"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!=="control"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];p===1?(c.dispose(),delete a[c.id]):p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){!this.clonedTensorsMap||(Object.values(this.clonedTensorsMap).forEach(t=>{for(let e of t)e&&!e.isDisposed&&e.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(t,e,n=!1,o={},s={}){this.disposeIntermediateTensors(),n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepIntermediateTensors=M().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let i=new Lh(this.weightMap,o,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let a=await this.executeWithControlFlow(t,i,e,n),u=e.map(m=>Cr(m,a,i)),l=u.map(m=>m.id),c=Object.keys(t).map(m=>t[m].id),p=new Set([...l,...c,...this.weightIds]);return Object.values(a).forEach(m=>{m.forEach(f=>{f&&!f.isDisposed&&!p.has(f.id)&&f.dispose()})}),this.parent==null&&i.dispose(p),u}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[bn(w)[0]]),a=n.map(w=>bn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=yN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=bn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=u.filter(w=>!bN(w)&&!Cr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w="";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m="";if(p.node.op==="Enter"&&I("isConstant",p.node,o,n)&&([m]=Zs(p.node.name,n)),o[p.node.name]==null){let f=xN(p.node,o,n,this._resourceManager);m||([m]=Zs(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(f)),this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Zs(a.name,n);s[u]||!i.has(a.name)||(a.op==="Merge"?a.inputNames.some(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=bn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){var e,n;let o={};for(let s in t){let i=(n=(e=this._signature)===null||e===void 0?void 0:e.inputs)===null||n===void 0?void 0:n[s];i!=null?o[i.name]=t[s]:o[s]=t[s]}return o}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=bn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>{var n,o;let s=(o=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||o===void 0?void 0:o[e];return s!=null?s.name:e},{})}checkOutputs(t){t.forEach(e=>{let[n]=bn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var U7="?tfjs-format=file",H7="model.json",Mh=class{constructor(t,e={},n=Pr){this.modelUrl=t,this.loadOptions=e,this.version="n/a",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new kc(Ph.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Ph.Instance.transformGraph(t.modelInitializer);this.initializer=new kc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t=="string"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return t.save(this.artifacts)}addStructuredOutputNames(t){if(this.structuredOutputKeys){let e=t instanceof Ft?[t]:t,n={};return e.forEach((o,s)=>n[this.structuredOutputKeys[s]]=o),n}return t}predict(t,e){let n=this.execute(t,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(t,e){let n=await this.executeAsync(t,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(t){var e;if(!(t instanceof Ft)&&!Array.isArray(t)){let s=(e=this.signature)===null||e===void 0?void 0:e.inputs;if(s!=null)for(let i in s){let a=s[i];a.resourceId!=null&&(t[i]=this.resourceIdToCapturedInput[a.resourceId])}return t}t=Array.isArray(t)?t:[t];let n=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${t.length} input tensors provided.`);let o=0;return this.inputNodes.reduce((s,i)=>{var a,u,l;let c=(l=(u=(a=this.signature)===null||a===void 0?void 0:a.inputs)===null||u===void 0?void 0:u[i])===null||l===void 0?void 0:l.resourceId;return c!=null?s[i]=this.resourceIdToCapturedInput[c]:s[i]=t[o++],s},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=this.initializerSignature.outputs,n=Object.keys(e);for(let o=0;o1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Nt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function q7(r,t={},e=Pr){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof r=="string"&&(r=j7(r));let n=new Mh(r,t,e);return await n.load(),n}function K7(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error("modelJSON must be the first element of the array");if(!o||!(o instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=Pr.getWeightSpecs(n.weightsManifest),i=Pr.getModelArtifactsForJSONSync(n,s,o);t=Pr.fromMemorySync(i)}else if("load"in r)t=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)t=Pr.fromMemorySync(r);else throw new Error("Unknown model format");let e=new Mh(t);return e.load(),e}function j7(r){return r.endsWith("/")||(r=r+"/"),`${r}${H7}${U7}`}var pR="4.2.0";var $R={};Ut($R,{CSVDataset:()=>Jf,Dataset:()=>Qs,FileDataSource:()=>nd,TextLineDataset:()=>Zf,URLDataSource:()=>od,array:()=>CR,csv:()=>TR,func:()=>kR,generator:()=>ER,microphone:()=>AR,version_data:()=>BN,webcam:()=>_R,zip:()=>IR});var wR=El(ch());var xR=El(ch());function mR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob=="function"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error("Circular references are not supported.");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(o.recurse)if(bu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function fR(r,t=CN){return dR(r,t)}function dR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error("Circular references are not supported.");let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse)if(bu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=dR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function CN(r){return r===null?null:bu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function bu(r){let t=!1;if(M().get("IS_BROWSER"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=wN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r=="object"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function hR(r){return r==null||X7(r)||Array.isArray(r)||typeof r=="object"&&r instanceof Ft||y.isTypedArray(r)}function X7(r){return r===null||typeof r!="object"&&typeof r!="function"}function gR(r){return mR(r,Y7)}function Y7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:bu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Yf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Ec=class extends Yf{constructor(){super(Ec.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new kN(this,t,e)}columnMajorBatch(t,e=!0,n=CN){return this.rowMajorBatch(t,e).map(s=>fR(s,n))}concatenate(t,e){return new Hb(FN([this,t]),e)}take(t){return t<0||t==null?this:new TN(this,t)}skip(t){return t<0||t==null?this:new NN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new RN(this,t,e)}serial(){return new SN(this)}},IN=class extends tr{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:gR(t),done:!1}}},vN=class extends tr{constructor(t){super(),this.nextFn=t}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},SN=class extends tr{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},NN=class extends tr{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},kN=class extends tr{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},EN=class extends tr{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;Nt(t.value)}}},_N=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},AN=class extends tr{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},_c=class extends tr{constructor(){super(),this.outputQueue=new Ec,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},$N=class extends _c{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends tr{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},gl;(function(r){r[r.FAIL=0]="FAIL",r[r.SHORTEST=1]="SHORTEST",r[r.LONGEST=2]="LONGEST"})(gl||(gl={}));var DN=class extends tr{constructor(t,e=gl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof tr?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case gl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case gl.SHORTEST:return{value:null,done:!0};case gl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends tr{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Yf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},RN=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=xR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Qs=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is + ${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Mb(s,e),a=n===0?0:r.size/n,u=B(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p{switch(r.op){case"If":case"StatelessIf":{let n=I("thenBranch",r,t,e),o=I("elseBranch",r,t,e),s=I("cond",r,t,e),i=I("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=I("body",r,t,e),o=I("cond",r,t,e),s=I("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=I("pred",r,t,e);return[Js(n)]}case"Switch":{let n=I("pred",r,t,e),o=I("data",r,t,e);return o.kept||(o=Js(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>Cr(o,t,e)!==void 0);if(n){let o=Cr(n,t,e);return[Js(o)]}return}case"Enter":{let n=I("frameName",r,t,e),o=I("tensor",r,t,e);return e.enterFrame(n),[Js(o)]}case"Exit":{let n=I("tensor",r,t,e);return e.exitFrame(),[Js(n)]}case"NextIteration":{let n=I("tensor",r,t,e);return e.nextIteration(),[Js(n)]}case"TensorArrayV3":{let n=I("size",r,t,e),o=I("dtype",r,t,e),s=I("elementShape",r,t,e),i=I("dynamicSize",r,t,e),a=I("clearAfterRead",r,t,e),u=I("identicalElementShapes",r,t,e),l=I("name",r,t,e),c=new zb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,pt(1)]}case"TensorArrayWriteV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=I("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=I("tensorArrayId",r,t,e),o=I("tensor",r,t,e),s=I("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[pt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("elementShape",r,t,e),i=I("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=I("indices",r,t,e),o=I("tensor",r,t,e),s=I("elementShape",r,t,e),i=I("numElements",r,t,e),a=WD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=I("elementShape",r,t,e),o=I("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=GD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=I("tensorListId",r,t,e),o=I("indices",r,t,e),s=I("elementShape",r,t,e),i=I("elementDType",r,t,e);return[e.getTensorList(n.id).gather(o,i,s)]}case"TensorListStack":{let n=I("tensorListId",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e),i=I("numElements",r,t,e);return[e.getTensorList(n.id).stack(o,s,i)]}case"TensorListFromTensor":{let n=I("tensor",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e),i=VD(n,o,s);return e.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=I("tensorListId",r,t,e),o=e.getTensorList(n.id),s=I("dtype",r,t,e),i=I("elementShape",r,t,e);return[o.concat(s,i)]}case"TensorListPushBack":{let n=I("tensorListId",r,t,e),o=I("tensor",r,t,e),s=e.getTensorList(n.id);return s.pushBack(o),[s.idTensor]}case"TensorListPopBack":{let n=I("tensorListId",r,t,e),o=I("elementShape",r,t,e),s=I("elementDType",r,t,e);return[e.getTensorList(n.id).popBack(o,s)]}case"TensorListSplit":{let n=I("tensor",r,t,e),o=I("elementShape",r,t,e),s=I("lengths",r,t,e),i=UD(n,s,o);return e.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=I("tensorListId",r,t,e),o=e.getTensorList(n.id);return[pt(o.size(),"int32")]}case"TensorListResize":{let n=I("tensorListId",r,t,e),o=I("size",r,t,e),i=e.getTensorList(n.id).resize(o);return e.addTensorList(i),[i.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qD(r,t,e){let[n,o]=I("fusedOps",r,t,e),s=n==="biasadd",i=!s,a=o==="prelu",u=n==="fusedbatchnorm",l=I("numArgs",r,t,e);if(s){if(a&&l!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&s&&l!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=I("strides",r,t,e),p=Oh(r,t,e),m=I("dataFormat",r,t,e).toUpperCase(),f=I("dilations",r,t,e),[d,h]=I("args",r,t,e);i&&(h=d,d=void 0);let g=I("leakyreluAlpha",r,t,e);return{stride:c,pad:p,dataFormat:m,dilations:f,biasArg:d,preluArg:h,activationFunc:o,leakyreluAlpha:g}}var KD=(r,t,e,n=se)=>{switch(r.op){case"Conv1D":{let o=I("stride",r,t,e),s=I("pad",r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilation",r,t,e);return[n.conv1d(I("x",r,t,e),I("filter",r,t,e),o,s,i,a)]}case"Conv2D":{let o=I("strides",r,t,e),s=Oh(r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilations",r,t,e);return[n.conv2d(I("x",r,t,e),I("filter",r,t,e),[o[1],o[2]],s,i,[a[1],a[2]])]}case"_FusedConv2D":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.conv2d({x:I("x",r,t,e),filter:I("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"FusedDepthwiseConv2dNative":{let{stride:o,pad:s,dataFormat:i,dilations:a,biasArg:u,preluArg:l,activationFunc:c,leakyreluAlpha:p}=qD(r,t,e);return[n.fused.depthwiseConv2d({x:I("x",r,t,e),filter:I("filter",r,t,e),strides:[o[1],o[2]],pad:s,dataFormat:i,dilations:[a[1],a[2]],bias:u,activation:c,preluActivationWeights:l,leakyreluAlpha:p})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let o=I("outputShape",r,t,e),s=I("strides",r,t,e),i=Oh(r,t,e);return[n.conv2dTranspose(I("x",r,t,e),I("filter",r,t,e),o,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let o=I("strides",r,t,e),s=Oh(r,t,e),i=I("dilations",r,t,e),a=I("dataFormat",r,t,e).toUpperCase();return[n.depthwiseConv2d(I("input",r,t,e),I("filter",r,t,e),[o[1],o[2]],s,a,[i[1],i[2]])]}case"Conv3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("dataFormat",r,t,e).toUpperCase(),a=I("dilations",r,t,e);return[n.conv3d(I("x",r,t,e),I("filter",r,t,e),[o[1],o[2],o[3]],s,i,[a[1],a[2],a[3]])]}case"AvgPool":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.avgPool(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPool":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.maxPool(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s)]}case"MaxPoolWithArgmax":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e),a=I("includeBatchInIndex",r,t,e),{result:u,indexes:l}=n.maxPoolWithArgmax(I("x",r,t,e),[i[1],i[2]],[o[1],o[2]],s,a);return[u,l]}case"AvgPool3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.avgPool3d(I("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"MaxPool3D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("kernelSize",r,t,e);return[n.maxPool3d(I("x",r,t,e),[i[1],i[2],i[3]],[o[1],o[2],o[3]],s)]}case"Dilation2D":{let o=I("strides",r,t,e),s=I("pad",r,t,e),i=I("dilations",r,t,e),a=o[1],u=o[2],l=i[1],c=i[2];return[n.dilation2d(I("x",r,t,e),I("filter",r,t,e),[a,u],s,[l,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var jD=(r,t,e,n=se)=>{switch(r.op){case"Fill":{let o=I("shape",r,t,e),s=I("dtype",r,t,e),i=I("value",r,t,e);return[n.fill(o,i,s)]}case"LinSpace":{let o=I("start",r,t,e),s=I("stop",r,t,e),i=I("num",r,t,e);return[n.linspace(o,s,i)]}case"Multinomial":{let o=I("logits",r,t,e),s=I("numSamples",r,t,e),i=I("seed",r,t,e);return[n.multinomial(o,s,i)]}case"OneHot":{let o=I("indices",r,t,e),s=I("depth",r,t,e),i=I("onValue",r,t,e),a=I("offValue",r,t,e),u=I("dtype",r,t,e);return[n.oneHot(o,s,i,a,u)]}case"Ones":return[n.ones(I("shape",r,t,e),I("dtype",r,t,e))];case"OnesLike":return[n.onesLike(I("x",r,t,e))];case"RandomStandardNormal":return[n.randomStandardNormal(I("shape",r,t,e),I("dtype",r,t,e),I("seed",r,t,e))];case"RandomUniform":return[n.randomUniform(I("shape",r,t,e),I("minval",r,t,e),I("maxval",r,t,e),I("dtype",r,t,e))];case"Range":{let o=I("start",r,t,e),s=I("stop",r,t,e),i=I("step",r,t,e);return[n.range(o,s,i,I("dtype",r,t,e))]}case"TruncatedNormal":{let o=I("shape",r,t,e),s=I("mean",r,t,e),i=I("stdDev",r,t,e),a=I("seed",r,t,e);return[n.truncatedNormal(o,s,i,I("dtype",r,t,e),a)]}case"Zeros":return[n.zeros(I("shape",r,t,e),I("dtype",r,t,e))];case"ZerosLike":return[n.zerosLike(I("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function gN(r,t,e){let n=I("boxes",r,t,e),o=I("scores",r,t,e),s=I("maxOutputSize",r,t,e),i=I("iouThreshold",r,t,e),a=I("scoreThreshold",r,t,e),u=I("softNmsSigma",r,t,e);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:i,scoreThreshold:a,softNmsSigma:u}}var XD=async(r,t,e,n,o=se)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l,softNmsSigma:c}=gN(r,t,e),p=await o.image.nonMaxSuppressionWithScoreAsync(s,i,a,u,l,c);return[p.selectedIndices,p.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e),c=I("padToMaxOutputSize",r,t,e),p=await o.image.nonMaxSuppressionPaddedAsync(s,i,a,u,l,c);return[p.selectedIndices,p.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:a,iouThreshold:u,scoreThreshold:l}=gN(r,t,e);return[await o.image.nonMaxSuppressionAsync(s,i,a,u,l)]}case"Where":{let s=o.cast(I("condition",r,t,e),"bool"),i=[await o.whereAsync(s)];return s.dispose(),i}case"ListDiff":return o.setdiff1dAsync(I("x",r,t,e),I("y",r,t,e));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YD=(r,t,e,n=se)=>{switch(r.op){case"LowerBound":{let o=I("sortedSequence",r,t,e),s=I("values",r,t,e);return[n.lowerBound(o,s)]}case"TopKV2":{let o=I("x",r,t,e),s=I("k",r,t,e),i=I("sorted",r,t,e),a=n.topk(o,s,i);return[a.values,a.indices]}case"UpperBound":{let o=I("sortedSequence",r,t,e),s=I("values",r,t,e);return[n.upperBound(o,s)]}case"Unique":{let o=I("x",r,t,e),s=n.unique(o);return[s.values,s.indices]}case"UniqueV2":{let o=I("x",r,t,e),s=I("axis",r,t,e),i=n.unique(o,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZD=(r,t,e,n=se)=>{switch(r.op){case"Const":return t[r.name];case"PlaceholderWithDefault":let o=I("default",r,t,e);return[Cr(r.name,t,e)||o];case"Placeholder":return[Cr(r.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=I("x",r,t,e);return[Js(c)]}case"IdentityN":return I("x",r,t,e).map(c=>Js(c));case"Snapshot":let s=I("x",r,t,e);return[Js(s)];case"Shape":return[n.tensor1d(I("x",r,t,e).shape,"int32")];case"ShapeN":return I("x",r,t,e).map(c=>n.tensor1d(c.shape));case"Size":return[n.scalar(I("x",r,t,e).size,"int32")];case"Rank":return[n.scalar(I("x",r,t,e).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=I("x",r,t,e),a=I("data",r,t,e),u=I("message",r,t,e),l=I("summarize",r,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(u);for(let c=0;ct.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return pt(this.size(),"int32")}async import(t,e){this.checkKeyAndValueTensor(t,e);let n=await t.data();return this.tensorMap.forEach(o=>o.dispose()),this.tensorMap.clear(),B(()=>{let o=gr(e),s=n.length,i=o.length;y.assert(s===i,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${i} elements.`);for(let a=0;a{let o=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let o=n.getHashTableHandleByName(r.name);if(o!=null)return[o];{let s=I("keyDType",r,t,e),i=I("valueDType",r,t,e),a=new Bb(s,i);return n.addHashTable(r.name,a),[a.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let o=I("tableHandle",r,t,e,n),s=I("keys",r,t,e),i=I("values",r,t,e);return[await n.getHashTableById(o.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let o=I("tableHandle",r,t,e,n),s=I("keys",r,t,e),i=I("defaultValue",r,t,e);return[await n.getHashTableById(o.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let o=I("tableHandle",r,t,e,n);return[n.getHashTableById(o.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QD=(r,t,e,n=se)=>{switch(r.op){case"ResizeBilinear":{let o=I("images",r,t,e),s=I("size",r,t,e),i=I("alignCorners",r,t,e),a=I("halfPixelCenters",r,t,e);return[n.image.resizeBilinear(o,[s[0],s[1]],i,a)]}case"ResizeNearestNeighbor":{let o=I("images",r,t,e),s=I("size",r,t,e),i=I("alignCorners",r,t,e),a=I("halfPixelCenters",r,t,e);return[n.image.resizeNearestNeighbor(o,[s[0],s[1]],i,a)]}case"CropAndResize":{let o=I("image",r,t,e),s=I("boxes",r,t,e),i=I("boxInd",r,t,e),a=I("cropSize",r,t,e),u=I("method",r,t,e),l=I("extrapolationValue",r,t,e);return[n.image.cropAndResize(o,s,i,a,u,l)]}case"ImageProjectiveTransformV3":{let o=I("images",r,t,e),s=I("transforms",r,t,e),i=I("outputShape",r,t,e),a=I("fillValue",r,t,e),u=I("interpolation",r,t,e),l=I("fillMode",r,t,e);return[n.image.transform(o,s,u.toLowerCase(),l.toLowerCase(),a,i)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tR=(r,t,e,n=se)=>{switch(r.op){case"Equal":return[n.equal(I("a",r,t,e),I("b",r,t,e))];case"NotEqual":return[n.notEqual(I("a",r,t,e),I("b",r,t,e))];case"Greater":return[n.greater(I("a",r,t,e),I("b",r,t,e))];case"GreaterEqual":return[n.greaterEqual(I("a",r,t,e),I("b",r,t,e))];case"Less":return[n.less(I("a",r,t,e),I("b",r,t,e))];case"LessEqual":return[n.lessEqual(I("a",r,t,e),I("b",r,t,e))];case"LogicalAnd":return[n.logicalAnd(I("a",r,t,e),I("b",r,t,e))];case"LogicalNot":return[n.logicalNot(I("a",r,t,e))];case"LogicalOr":return[n.logicalOr(I("a",r,t,e),I("b",r,t,e))];case"Select":case"SelectV2":return[n.where(I("condition",r,t,e),I("a",r,t,e),I("b",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eR=(r,t,e,n=se)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(I("a",r,t,e),I("b",r,t,e),I("transposeA",r,t,e),I("transposeB",r,t,e))];case"Einsum":return[n.einsum(I("equation",r,t,e),...I("tensors",r,t,e))];case"Transpose":return[n.transpose(I("x",r,t,e),I("perm",r,t,e))];case"_FusedMatMul":let[o,s]=I("fusedOps",r,t,e),i=o==="biasadd",a=s==="prelu",u=I("numArgs",r,t,e),l=I("leakyreluAlpha",r,t,e);if(i){if(a&&u!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&u!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,p]=I("args",r,t,e);return[n.fused.matMul({a:I("a",r,t,e),b:I("b",r,t,e),transposeA:I("transposeA",r,t,e),transposeB:I("transposeB",r,t,e),bias:c,activation:s,preluActivationWeights:p,leakyreluAlpha:l})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rR=(r,t,e,n=se)=>{switch(r.op){case"EuclideanNorm":return[n.euclideanNorm(I("x",r,t,e),I("axis",r,t,e),I("keepDims",r,t,e))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(I("x",r,t,e),I("mean",r,t,e),I("variance",r,t,e),I("offset",r,t,e),I("scale",r,t,e),I("epsilon",r,t,e))];case"FusedBatchNormV3":return[n.batchNorm(I("x",r,t,e),I("mean",r,t,e),I("variance",r,t,e),I("offset",r,t,e),I("scale",r,t,e),I("epsilon",r,t,e))];case"LRN":return[n.localResponseNormalization(I("x",r,t,e),I("radius",r,t,e),I("bias",r,t,e),I("alpha",r,t,e),I("beta",r,t,e))];case"Softmax":return[n.softmax(I("x",r,t,e))];case"LogSoftmax":return[n.logSoftmax(I("x",r,t,e))];case"SparseToDense":return[n.sparseToDense(I("sparseIndices",r,t,e),I("outputShape",r,t,e),I("sparseValues",r,t,e),I("defaultValue",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nR=(r,t,e,n=se)=>{switch(r.op){case"RaggedGather":{let{outputNestedSplits:o,outputDenseValues:s}=n.raggedGather(I("paramsNestedSplits",r,t,e),I("paramsDenseValues",r,t,e),I("indices",r,t,e),I("outputRaggedRank",r,t,e));return o.concat(s)}case"RaggedRange":{let{rtNestedSplits:o,rtDenseValues:s}=n.raggedRange(I("starts",r,t,e),I("limits",r,t,e),I("splits",r,t,e));return[o,s]}case"RaggedTensorToTensor":return[n.raggedTensorToTensor(I("shape",r,t,e),I("values",r,t,e),I("defaultValue",r,t,e),I("rowPartitionTensors",r,t,e),I("rowPartitionTypes",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oR=(r,t,e,n=se)=>{switch(r.op){case"Max":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.max(I("x",r,t,e),a,u)]}case"Mean":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.mean(I("x",r,t,e),a,u)]}case"Min":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.min(I("x",r,t,e),a,u)]}case"Sum":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.sum(I("x",r,t,e),a,u)]}case"All":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.all(I("x",r,t,e),a,u)]}case"Any":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.any(I("x",r,t,e),a,u)]}case"ArgMax":{let a=I("axis",r,t,e);return[n.argMax(I("x",r,t,e),a)]}case"ArgMin":{let a=I("axis",r,t,e);return[n.argMin(I("x",r,t,e),a)]}case"Prod":{let a=I("axis",r,t,e),u=I("keepDims",r,t,e);return[n.prod(I("x",r,t,e),a,u)]}case"Cumprod":{let a=I("axis",r,t,e),u=I("exclusive",r,t,e),l=I("reverse",r,t,e);return[n.cumprod(I("x",r,t,e),a,u,l)]}case"Cumsum":{let a=I("axis",r,t,e),u=I("exclusive",r,t,e),l=I("reverse",r,t,e);return[n.cumsum(I("x",r,t,e),a,u,l)]}case"Bincount":let o=I("x",r,t,e),s=I("weights",r,t,e),i=I("size",r,t,e);return[n.bincount(o,s,i)];case"DenseBincount":{let a=I("x",r,t,e),u=I("weights",r,t,e),l=I("size",r,t,e),c=I("binaryOutput",r,t,e);return[n.denseBincount(a,u,l,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sR=(r,t,e,n=se)=>{switch(r.op){case"ConcatV2":case"Concat":{let o=I("n",r,t,e),s=I("axis",r,t,e),i=I("tensors",r,t,e);return i=i.slice(0,o),[n.concat(i,s)]}case"Gather":{let o=I("x",r,t,e),s=I("indices",r,t,e);return[n.gather(o,n.cast(s,"int32"),0)]}case"GatherV2":{let o=I("axis",r,t,e),s=I("batchDims",r,t,e),i=I("x",r,t,e),a=I("indices",r,t,e);return[n.gather(i,n.cast(a,"int32"),o,s)]}case"Reverse":{let o=I("dims",r,t,e),s=[];for(let a=0;a{let o=I("axis",r,t,e),s=I("tensors",r,t,e),i=s[0].shape,a=n.squeeze(s[0]).shape,u=s.map(l=>{let c=y.arraysEqual(l.shape,i);if(!c&&!y.arraysEqual(n.squeeze(l).shape,a))throw new Error("the input tensors shape does not match");return c?l:n.reshape(l,i)});return[n.stack(u,o)]});case"Unpack":{let o=I("axis",r,t,e),s=I("tensor",r,t,e);return n.unstack(s,o)}case"Tile":{let o=I("reps",r,t,e);return[n.tile(I("x",r,t,e),o)]}case"Split":case"SplitV":{let o=I("axis",r,t,e),s=I("numOrSizeSplits",r,t,e),i=I("x",r,t,e);return n.split(i,s,o)}case"ScatterNd":{let o=I("indices",r,t,e),s=I("values",r,t,e),i=I("shape",r,t,e);return[n.scatterND(o,s,i)]}case"GatherNd":{let o=I("x",r,t,e),s=I("indices",r,t,e);return[n.gatherND(o,s)]}case"SparseToDense":{let o=I("sparseIndices",r,t,e),s=I("outputShape",r,t,e),i=I("sparseValues",r,t,e),a=I("defaultValue",r,t,e);return[n.sparseToDense(o,i,s,i.dtype===a.dtype?a:n.cast(a,i.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var iR=(r,t,e,n=se)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:o,outputValues:s,emptyRowIndicator:i,reverseIndexMap:a}=n.sparse.sparseFillEmptyRows(I("indices",r,t,e),I("values",r,t,e),I("denseShape",r,t,e),I("defaultValue",r,t,e));return[o,s,i,a]}case"SparseReshape":{let{outputIndices:o,outputShape:s}=n.sparse.sparseReshape(I("inputIndices",r,t,e),I("inputShape",r,t,e),I("newShape",r,t,e));return[o,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(I("data",r,t,e),I("indices",r,t,e),I("segmentIds",r,t,e))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(I("data",r,t,e),I("indices",r,t,e),I("segmentIds",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var aR=(r,t,e,n=se)=>{switch(r.op){case"FFT":return[n.fft(I("x",r,t,e))];case"IFFT":return[n.ifft(I("x",r,t,e))];case"RFFT":return[n.rfft(I("x",r,t,e))];case"IRFFT":return[n.irfft(I("x",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var lR=(r,t,e,n=se)=>{switch(r.op){case"StringNGrams":{let{nGrams:o,nGramsSplits:s}=n.string.stringNGrams(I("data",r,t,e),I("dataSplits",r,t,e),I("separator",r,t,e),I("nGramWidths",r,t,e),I("leftPad",r,t,e),I("rightPad",r,t,e),I("padWidth",r,t,e),I("preserveShortSequences",r,t,e));return[o,s]}case"StringSplit":{let{indices:o,values:s,shape:i}=n.string.stringSplit(I("input",r,t,e),I("delimiter",r,t,e),I("skipEmpty",r,t,e));return[o,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(I("input",r,t,e),I("numBuckets",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var uR=(r,t,e,n=se)=>{switch(r.op){case"Cast":return[n.cast(I("x",r,t,e),I("dtype",r,t,e))];case"ExpandDims":{let o=I("axis",r,t,e);return[n.expandDims(I("x",r,t,e),o)]}case"Squeeze":{let o=I("axis",r,t,e);return[n.squeeze(I("x",r,t,e),o)]}case"Reshape":return[n.reshape(I("x",r,t,e),I("shape",r,t,e))];case"MirrorPad":return[n.mirrorPad(I("x",r,t,e),I("padding",r,t,e),I("mode",r,t,e))];case"PadV2":case"Pad":return[n.pad(I("x",r,t,e),I("padding",r,t,e),I("constantValue",r,t,e))];case"SpaceToBatchND":{let o=I("blockShape",r,t,e),s=I("paddings",r,t,e);return[n.spaceToBatchND(I("x",r,t,e),o,s)]}case"BatchToSpaceND":{let o=I("blockShape",r,t,e),s=I("crops",r,t,e);return[n.batchToSpaceND(I("x",r,t,e),o,s)]}case"DepthToSpace":{let o=I("blockSize",r,t,e),s=I("dataFormat",r,t,e).toUpperCase();return[n.depthToSpace(I("x",r,t,e),o,s)]}case"BroadcastTo":return[n.broadcastTo(I("x",r,t,e),I("shape",r,t,e))];case"BroadcastArgs":return[n.broadcastArgs(I("s0",r,t,e),I("s1",r,t,e))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function xN(r,t,e,n,o=B){let s=((i,a,u)=>{switch(i.category){case"arithmetic":return o(()=>MD(i,a,u));case"basic_math":return o(()=>zD(i,a,u));case"control":return HD(i,a,u);case"convolution":return o(()=>KD(i,a,u));case"creation":return o(()=>jD(i,a,u));case"dynamic":return XD(i,a,u);case"evaluation":return o(()=>YD(i,a,u));case"image":return o(()=>QD(i,a,u));case"graph":return o(()=>ZD(i,a,u));case"logical":return o(()=>tR(i,a,u));case"matrices":return o(()=>eR(i,a,u));case"normalization":return o(()=>rR(i,a,u));case"ragged":return o(()=>nR(i,a,u));case"reduction":return o(()=>oR(i,a,u));case"slice_join":return o(()=>sR(i,a,u));case"sparse":return o(()=>iR(i,a,u));case"spectral":return o(()=>aR(i,a,u));case"string":return o(()=>lR(i,a,u));case"transformation":return o(()=>uR(i,a,u));case"hash_table":return JD(i,a,u,n);case"custom":let l=Nb(i.op);if(l&&l.customExecutor)return l.customExecutor(new Lb(i,a,u));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,t,e);return y.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var Lh=class{constructor(t={},e={},n={},o={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let t=[];for(let e=0;ee.id===0&&e.iterationId===0?"":`${e.frameName}-${e.iterationId}`).join("/"):""}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(let e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(let e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}};function yN(r,t,e,n){let o=new Set,s=[],i=null,a=null,u=new Set,l=Object.keys(r).map(m=>bn(m)[0]),c=[];n!=null&&(c=n.map(m=>bn(m.name)[0]));let p=[...t];for(;p.length>0;){let m=p.pop();if((bN(m)||G7(m)||W7(m))&&i==null&&(i=m,a=i.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),e[m.name]==null&&l.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{u.has(f.name)||(u.add(f.name),p.push(f))})}}return{inputs:r,outputs:t,usedNodes:o,missingInputs:s,dynamicNode:i,syncInputs:a}}function cR(r,t,e){let{usedNodes:n,inputs:o}=e,s=[],i=Object.keys(o).map(c=>bn(c)[0]).map(c=>r.nodes[c]),a=r.initNodes;i.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),a!=null&&a.forEach(c=>{n.has(c.name)&&s.push(c)});let u=new Set,l=[];for(;s.length>0;){let c=s.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach(p=>{!u.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>u.has(m.name))&&s.push(p)})}return l}var z7=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],B7=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],V7=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function bN(r){return z7.indexOf(r.op)>=0}function G7(r){return B7.indexOf(r.op)>=0}function W7(r){return V7.indexOf(r.op)>=0}var kc=class{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(n=>{this._functionExecutorMap[n]=new kc(t.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){let e=Object.keys(t).map(n=>t[n].map(o=>o.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{let e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){let n=t.map(s=>s.name).sort(),o=e.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(t,e){let n=yN(t,e,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:i}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${i}]`);if(o.length>0){let a=e.map(l=>l.name),u=Object.keys(t);throw new Error(`Cannot compute the outputs [${a}] from the provided inputs [${u}]. Missing the following inputs: [${o}]`)}return cR(this.graph,this.weightMap,n)}cloneAndKeepTensor(t){if(t==null)return null;let e=t.clone();return De(e),e}cloneTensorList(t){return t?t.map(n=>this.cloneAndKeepTensor(n)):null}cloneTensorMap(t){return Object.fromEntries(Object.entries(t).map(([e,n])=>[e,this.cloneTensorList(n)]))}execute(t,e){this.disposeIntermediateTensors(),t=this.mapInputs(t);let n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);let o=n.map(p=>this.graph.nodes[bn(p)[0]]),s=e.map(p=>bn(p)[0]),i=s.map(p=>this.graph.nodes[p]);i.length===0&&(i=this._outputs);let a=this.getCompilationKey(o,i),u=this.compiledMap.get(a);u==null&&(u=this.compile(t,i),this.compiledMap.set(a,u));try{this.keepIntermediateTensors=M().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},c={};return B(()=>{let p=new Lh(this.weightMap,l,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(t).forEach(h=>{let[g,x]=bn(h),b=[];b[x]=t[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let f=this.getFrozenTensorIds(m),d={};for(let h=0;hCr(h,m,p))})}getFrozenTensorIds(t){let e=[].concat.apply([],Object.keys(t).map(n=>t[n]).map(n=>n.map(o=>o.id)));return new Set(e)}checkTensorForDisposal(t,e,n,o,s,i,a){e.category==="control"||i.indexOf(t)!==-1||(n[t].forEach(u=>{u!=null&&(a[u.id]=(a[u.id]||0)+e.children.length)}),e.inputs.forEach(u=>{if(u.category!=="control"){let l=FD(u.name,n,o);l!=null&&l.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let p=a[c.id];p===1?(c.dispose(),delete a[c.id]):p!=null&&a[c.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(t=>{for(let e of t)e&&!e.isDisposed&&e.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(t,e,n=!1,o={},s={}){this.disposeIntermediateTensors(),n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));try{this.keepIntermediateTensors=M().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let i=new Lh(this.weightMap,o,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let a=await this.executeWithControlFlow(t,i,e,n),u=e.map(m=>Cr(m,a,i)),l=u.map(m=>m.id),c=Object.keys(t).map(m=>t[m].id),p=new Set([...l,...c,...this.weightIds]);return Object.values(a).forEach(m=>{m.forEach(f=>{f&&!f.isDisposed&&!p.has(f.id)&&f.dispose()})}),this.parent==null&&i.dispose(p),u}async executeFunctionAsync(t,e,n){let o=t.reduce((s,i,a)=>(s[this.inputs[a].name]=i,s),{});return this._executeAsync(o,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,o){let s=Object.keys(t),i=s.map(w=>this.graph.nodes[bn(w)[0]]),a=n.map(w=>bn(w)[0]),u=a.map(w=>this.graph.nodes[w]);u.length===0&&(u=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:p,syncInputs:m}=yN(t,u,this.weightMap,this._initNodes),f=[...i,...this.graph.weights,...this._initNodes||[]].map(w=>({node:w,contexts:e.currentContext})),d=Object.assign({},this.weightMap);Object.keys(t).forEach(w=>{let[C,N]=bn(w),_=[];_[N]=t[w],d[C]=_});let h={},g=this.getFrozenTensorIds(d),x={};for(;f.length>0;){let w=this.processStack(i,f,e,d,x,g,a,h,l);await Promise.all(w)}p==null&&!o&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=u.filter(w=>!bN(w)&&!Cr(w.name,d,e)).map(w=>w.name);if(b.length>0){let w="";throw p!=null&&(w=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${w}`)}return d}processStack(t,e,n,o,s,i,a,u,l){let c=[];for(;e.length>0;){let p=e.pop();n.currentContext=p.contexts;let m="";if(p.node.op==="Enter"&&I("isConstant",p.node,o,n)&&([m]=Zs(p.node.name,n)),o[p.node.name]==null){let f=xN(p.node,o,n,this._resourceManager);m||([m]=Zs(p.node.name,n));let d=n.currentContext;y.isPromise(f)?c.push(f.then(h=>(o[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),n.currentContext=d,this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l),h))):(o[m]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(f)),this.checkTensorForDisposal(m,p.node,o,n,i,a,u),this.processChildNodes(p.node,e,n,o,s,l))}else this.processChildNodes(p.node,e,n,o,s,l)}return c}processChildNodes(t,e,n,o,s,i){t.children.forEach(a=>{let[u]=Zs(a.name,n);s[u]||!i.has(a.name)||(a.op==="Merge"?a.inputNames.some(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})):a.inputNames.every(l=>!!Cr(l,o,n))&&(s[u]=!0,e.push({contexts:n.currentContext,node:a})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(e=>e.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{let n=t[e],[o]=bn(e),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let i=s.attrParams.shape.value,a=i.length===n.shape.length&&n.shape.every((u,l)=>i[l]===-1||i[l]===u);y.assert(a,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${i}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){var e,n;let o={};for(let s in t){let i=(n=(e=this._signature)===null||e===void 0?void 0:e.inputs)===null||n===void 0?void 0:n[s];i!=null?o[i.name]=t[s]:o[s]=t[s]}return o}checkInputs(t){let e=Object.keys(t).filter(n=>{let[o]=bn(n);return this.graph.nodes[o]==null});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(e=>{var n,o;let s=(o=(n=this._signature)===null||n===void 0?void 0:n.outputs)===null||o===void 0?void 0:o[e];return s!=null?s.name:e},{})}checkOutputs(t){t.forEach(e=>{let[n]=bn(e);if(!this.graph.nodes[n])throw new Error(`The output '${e}' is not found in the graph`)})}};var Vb=class{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(let t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(let t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}};var U7="?tfjs-format=file",H7="model.json",Mh=class{constructor(t,e={},n=Pr){this.modelUrl=t,this.loadOptions=e,this.version="n/a",this.io=n,e==null&&(this.loadOptions={}),this.resourceManager=new Vb}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(t,this.loadOptions);else{let e=this.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(this.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let t=this.handler.load();return y.isPromise(t)?t.then(e=>this.loadSync(e)):this.loadSync(t)}loadSync(t){this.artifacts=t;let e=this.artifacts.modelTopology,n=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(n=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=n,this.version=`${e.versions.producer}.${e.versions.minConsumer}`;let o=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new kc(Ph.Instance.transformGraph(e,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,t.modelInitializer!=null&&t.modelInitializer.node!=null){let s=Ph.Instance.transformGraph(t.modelInitializer);this.initializer=new kc(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=t.initializerSignature}return!0}async save(t,e){if(typeof t=="string"){let n=this.io.getSaveHandlers(t);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${t}'`);t=n[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return t.save(this.artifacts)}addStructuredOutputNames(t){if(this.structuredOutputKeys){let e=t instanceof Ft?[t]:t,n={};return e.forEach((o,s)=>n[this.structuredOutputKeys[s]]=o),n}return t}predict(t,e){let n=this.execute(t,this.outputNodes);return this.addStructuredOutputNames(n)}async predictAsync(t,e){let n=await this.executeAsync(t,this.outputNodes);return this.addStructuredOutputNames(n)}normalizeInputs(t){var e;if(!(t instanceof Ft)&&!Array.isArray(t)){let s=(e=this.signature)===null||e===void 0?void 0:e.inputs;if(s!=null)for(let i in s){let a=s[i];a.resourceId!=null&&(t[i]=this.resourceIdToCapturedInput[a.resourceId])}return t}t=Array.isArray(t)?t:[t];let n=Object.keys(this.resourceIdToCapturedInput).length;if(t.length+n!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-n} non-resource placeholders, while there are ${t.length} input tensors provided.`);let o=0;return this.inputNodes.reduce((s,i)=>{var a,u,l;let c=(l=(u=(a=this.signature)===null||a===void 0?void 0:a.inputs)===null||u===void 0?void 0:u[i])===null||l===void 0?void 0:l.resourceId;return c!=null?s[i]=this.resourceIdToCapturedInput[c]:s[i]=t[o++],s},{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(t){if(this.resourceIdToCapturedInput={},this.initializerSignature){let e=this.initializerSignature.outputs,n=Object.keys(e);for(let o=0;o1?n:n[0]}async executeAsync(t,e){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),t=this.normalizeInputs(t),e=this.normalizeOutputs(e);let n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Nt(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function q7(r,t={},e=Pr){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof r=="string"&&(r=j7(r));let n=new Mh(r,t,e);return await n.load(),n}function K7(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(r instanceof Array){let[n,o]=r;if(!n)throw new Error("modelJSON must be the first element of the array");if(!o||!(o instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=Pr.getWeightSpecs(n.weightsManifest),i=Pr.getModelArtifactsForJSONSync(n,s,o);t=Pr.fromMemorySync(i)}else if("load"in r)t=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)t=Pr.fromMemorySync(r);else throw new Error("Unknown model format");let e=new Mh(t);return e.load(),e}function j7(r){return r.endsWith("/")||(r=r+"/"),`${r}${H7}${U7}`}var pR="4.2.0";var $R={};Ut($R,{CSVDataset:()=>Jf,Dataset:()=>Qs,FileDataSource:()=>nd,TextLineDataset:()=>Zf,URLDataSource:()=>od,array:()=>CR,csv:()=>TR,func:()=>kR,generator:()=>ER,microphone:()=>AR,version_data:()=>BN,webcam:()=>_R,zip:()=>IR});var wR=El(ch());var xR=El(ch());function mR(r,t){return Gb(r,t)}function Gb(r,t,e=new Map,n=new Set){if(r==null)return null;if(typeof Blob=="function"&&r instanceof Blob)return r.slice();if(n.has(r))throw new Error("Circular references are not supported.");if(e.has(r))return e.get(r);let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(o.recurse)if(bu(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let a=r[i],u=Gb(a,t,e,n);s[i]=u}return n.delete(r),r.__proto__&&(s.__proto__=r.__proto__),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return e.set(r,o.value),o.value}function fR(r,t=CN){return dR(r,t)}function dR(r,t,e=new Set){let n=r[0];if(e.has(n))throw new Error("Circular references are not supported.");let o=t(r);if(o.recurse&&o.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse)if(bu(n)){let s=Array.isArray(n)?[]:{};e.add(n);for(let i in n){let a=r.map(l=>l[i]),u=dR(a,t,e);s[i]=u}return e.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function CN(r){return r===null?null:bu(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function Wb(r,t){let e=new Map;Gb(r,t,e);for(let o of Array.from(e.keys())){let s=e.get(o);if(y.isPromise(s)){let i=await s;e.set(o,i)}}return Gb(r,t,e)}function bu(r){let t=!1;if(M().get("IS_BROWSER"))t=r instanceof TextDecoder;else{let{StringDecoder:e}=wN();t=r instanceof e}return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r=="object"&&!(r instanceof Ft)&&!(r instanceof Promise)&&!t)}function hR(r){return r==null||X7(r)||Array.isArray(r)||typeof r=="object"&&r instanceof Ft||y.isTypedArray(r)}function X7(r){return r===null||typeof r!="object"&&typeof r!="function"}function gR(r){return mR(r,Y7)}function Y7(r){return r instanceof Ft?{value:r.clone(),recurse:!1}:bu(r)?{value:null,recurse:!0}:{value:r,recurse:!1}}var Yf=class{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(let e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}};var Ec=class extends Yf{constructor(){super(Ec.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){let t=this.capacity*2,e=new Array(t),n=this.length();for(let o=0;oe===!0)}rowMajorBatch(t,e=!0){return new kN(this,t,e)}columnMajorBatch(t,e=!0,n=CN){return this.rowMajorBatch(t,e).map(s=>fR(s,n))}concatenate(t,e){return new Hb(FN([this,t]),e)}take(t){return t<0||t==null?this:new TN(this,t)}skip(t){return t<0||t==null?this:new NN(this,t)}prefetch(t){return new qb(this,t)}shuffle(t,e){return new RN(this,t,e)}serial(){return new SN(this)}},IN=class extends tr{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let t=this.items[this.trav];return this.trav++,{value:gR(t),done:!1}}},vN=class extends tr{constructor(t){super(),this.nextFn=t}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(t){throw t.message=`Error thrown while iterating through a dataset: ${t.message}`,t}}},SN=class extends tr{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},NN=class extends tr{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},kN=class extends tr{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}},EN=class extends tr{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;Nt(t.value)}}},_N=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Map`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},AN=class extends tr{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}},Ub=class extends tr{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let t=await this.upstream.next();if(t.done)return{value:null,done:!0};let e=xo.getTensorsInContainer(t.value),n=await this.transform(t.value),o=xo.getTensorsInContainer(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},_c=class extends tr{constructor(){super(),this.outputQueue=new Ec,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},$N=class extends _c{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let t=await this.upstream.next();if(t.done)return!1;let e=xo.getTensorsInContainer(t.value),n=this.transform(t.value),o=xo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of e)xo.isTensorInList(s,o)||s.dispose();return!0}},Hb=class extends tr{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}},gl;(function(r){r[r.FAIL=0]="FAIL",r[r.SHORTEST=1]="SHORTEST",r[r.LONGEST=2]="LONGEST"})(gl||(gl={}));var DN=class extends tr{constructor(t,e=gl.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(t){await t;let e=0,n=0;function o(i){return i instanceof tr?{value:i.next().then(u=>(e++,u.done&&n++,u.value)),recurse:!1}:{value:null,recurse:!0}}let s=await Wb(this.iterators,o);if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case gl.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case gl.SHORTEST:return{value:null,done:!0};case gl.LONGEST:default:}return this.count++,{value:s,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},qb=class extends tr{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new Yf(e)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}},RN=class extends qb{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=xR.alea(n||y.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(e.done)this.upstreamExhausted=!0;else return this.refill(),e}return{value:null,done:!0}}};var Qs=class{constructor(){this.size=null}batch(t,e=!0){let n=this;y.assert(t>0,()=>`batchSize needs to be positive, but it is ${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),En(async()=>(await n.iterator()).columnMajorBatch(t,e,Z7),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,En(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,En(async()=>(await e.iterator()).filter(o=>B(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return En(async()=>(await e.iterator()).map(n=>B(()=>t(n))),this.size)}mapAsync(t){let e=this;return En(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let e=this;return En(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,En(async()=>{let o=zh(async()=>({value:await e.iterator(),done:!1}));return yR(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=wR.alea(e||y.now().toString());return En(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,En(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Qs.MAX_BUFFER_SIZE=1e4;function En(r,t=null){return new class extends Qs{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function CR(r){return En(async()=>FN(r),r.length)}function IR(r){if(!bu(r))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(r))for(let e=0;e{let e=await Wb(r,n=>{if(n instanceof Qs)return{value:n.iterator(),recurse:!1};if(bu(n))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return bR(e,gl.SHORTEST)},t)}function Z7(r){if(r===null)return null;let t=r[0];return hR(t)?{value:J7(r),recurse:!1}:{value:null,recurse:!0}}function J7(r){if(r.length===0)throw new Error("Can't make a batch of zero elements.");return r[0]instanceof Ft?qe(r):or(r)}var Zf=class extends Qs{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` `).map(o=>(o.endsWith("\r")&&(o=o.slice(0,-1)),o))}};var Kb='"',Bh=Symbol("out"),vR=Symbol("field"),jb=Symbol("quote"),ON=Symbol("quoteafterquote"),SR=Symbol("quoteinquote"),Jf=class extends Qs{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new Zf(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s14||!Number.isInteger(e))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=t.includeSpectrogram!==!1,this.includeWaveform=t.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(t={}){if(!M().get("IS_BROWSER"))throw new Error("microphone API is only supported in browser environment.");let e=new Qf(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let t=[],e=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&o({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){let e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((o,s)=>n.set(o,s*e)),n}getTensorFromAudioDataArray(t,e){let n=new Float32Array(y.sizeFromShape(e));return n.set(t,n.length-t.length),or(n,e)}};var td=class extends tr{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Ke([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,i=(1-o)/2,a=s+n,u=o+i;this.cropBox=Ws([i,s,u,a],[1,4])}else this.cropBox=Ws([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(t,e={}){if(!M().get("IS_BROWSER"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!e.resizeWidth||!e.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=e.resizeWidth,t.height=e.resizeHeight}let n=new td(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message=`Error thrown while initializing video stream: ${t.message}`,t}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=gy.fromPixels(this.webcamVideoElement)}catch(e){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(e)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(e){throw new Error(`Error thrown cropping the video: ${e.message}`)}finally{t.dispose()}else return{value:t,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(t){return B(()=>{let e=ir(J(t,"float32"),0),n;n=oo.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let o=n.shape;return R(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}};var ed=class{};var Vh=class extends tr{split(t){return new PN(this,t)}},PN=class extends Vh{constructor(t,e){super(),this.upstream=t,this.impl=new LN(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},LN=class extends _c{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let t=await this.upstream.next();if(t.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(let n of e.slice(0,-1))this.outputQueue.push(n);return this.carryover=e[e.length-1],!0}};var Xb=class extends tr{decodeUTF8(){return new MN(this)}},MN=class extends Vh{constructor(t){super(),this.upstream=t,this.impl=new zN(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},zN=class extends _c{constructor(t){if(super(),this.upstream=t,M().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:e}=wN();this.decoder=new e("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let t=await this.upstream.next(),e;if(t.done)return!1;e=t.value;let n;return M().get("IS_BROWSER")?n=this.decoder.decode(e,{stream:!0}):n=this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),!0}};var rd=class extends Xb{constructor(t,e={}){super(),this.file=t,this.options=e,y.assert(t instanceof Uint8Array||(M().get("IS_BROWSER")?t instanceof File||t instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=a=>{let u=s.result;if(u instanceof ArrayBuffer&&(u=new Uint8Array(u)),!(u instanceof Uint8Array))return n(new TypeError("FileReader returned unknown type."));e(u)},s.onabort=a=>n(new Error("Aborted")),s.onerror=a=>n(new Error(a.type));let i=this.file.slice(this.offset,o);s.readAsArrayBuffer(i)}this.offset=o}),done:!1}}};async function NR(r,t={},e){let n,o;typeof r=="string"?n=r:(n=r.url,o=Q7(r));let s=await(e||y.fetch)(n,o);if(s.ok){let i=new Uint8Array(await s.arrayBuffer());return new rd(i,t)}else throw new Error(s.statusText)}var Q7=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function Yb(r){return typeof r=="string"&&r.slice(0,7)==="file://"}var nd=class extends ed{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(Yb(this.input)&&M().get("IS_NODE")){let t=Zb();this.input=t.readFileSync(this.input.slice(7))}return new rd(this.input,this.options)}};var od=class extends ed{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return Yb(this.url)?new nd(this.url,this.fileOptions).iterator():NR(this.url,this.fileOptions)}};function TR(r,t={}){return new Jf(new od(r),t)}function kR(r){let t=zh(r);return En(async()=>t)}function ER(r){return En(async()=>{let t=await r();return zh(()=>t.next())})}async function _R(r,t){return td.create(r,t)}async function AR(r){return Qf.create(r)}var BN="4.2.0";function tt(r,t){Array.isArray(r)||(r=[r]),r.forEach(e=>{e!=null&&y.assert(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var tJ=qr.whereImpl,wu=class extends zo{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new ia(this,Ln())}nextDataId(){return wu.nextDataId++}write(t,e,n){this.firstUse&&(this.firstUse=!1,M().get("IS_NODE")&&S.warn(` ============================ diff --git a/package.json b/package.json index 38abc40..192d03b 100644 --- a/package.json +++ b/package.json @@ -43,7 +43,7 @@ ], "devDependencies": { "@canvas/image": "^1.0.1", - "@microsoft/api-extractor": "^7.33.7", + "@microsoft/api-extractor": "^7.33.8", "@tensorflow/tfjs": "^4.2.0", "@tensorflow/tfjs-backend-cpu": "^4.2.0", "@tensorflow/tfjs-backend-wasm": "^4.2.0", @@ -57,21 +57,21 @@ "@tensorflow/tfjs-node-gpu": "^4.2.0", "@types/node": "^18.11.18", "@types/offscreencanvas": "^2019.7.0", - "@typescript-eslint/eslint-plugin": "^5.48.0", - "@typescript-eslint/parser": "^5.48.0", - "@vladmandic/build": "^0.7.14", - "@vladmandic/pilogger": "^0.4.6", - "esbuild": "^0.16.14", - "eslint": "^8.31.0", + "@typescript-eslint/eslint-plugin": "^5.48.2", + "@typescript-eslint/parser": "^5.48.2", + "@vladmandic/build": "^0.7.15", + "@vladmandic/pilogger": "^0.4.7", + "esbuild": "^0.17.3", + "eslint": "^8.32.0", "eslint-config-airbnb-base": "^15.0.0", - "eslint-plugin-import": "^2.26.0", + "eslint-plugin-import": "^2.27.5", "eslint-plugin-json": "^3.1.0", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^6.1.1", - "rimraf": "^3.0.2", + "rimraf": "^4.1.1", "seedrandom": "^3.0.5", "tslib": "^2.4.1", - "typedoc": "^0.23.23", + "typedoc": "^0.23.24", "typescript": "4.9.4" } } diff --git a/typedoc/assets/main.js b/typedoc/assets/main.js index 0e05961..d55df03 100644 --- a/typedoc/assets/main.js +++ b/typedoc/assets/main.js @@ -2,3 +2,57 @@ "use strict";(()=>{var Qe=Object.create;var ae=Object.defineProperty;var Pe=Object.getOwnPropertyDescriptor;var Ce=Object.getOwnPropertyNames;var Oe=Object.getPrototypeOf,Re=Object.prototype.hasOwnProperty;var _e=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var Me=(t,e,n,r)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of Ce(e))!Re.call(t,i)&&i!==n&&ae(t,i,{get:()=>e[i],enumerable:!(r=Pe(e,i))||r.enumerable});return t};var De=(t,e,n)=>(n=t!=null?Qe(Oe(t)):{},Me(e||!t||!t.__esModule?ae(n,"default",{value:t,enumerable:!0}):n,t));var de=_e((ce,he)=>{(function(){var t=function(e){var n=new t.Builder;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),n.searchPipeline.add(t.stemmer),e.call(n,n),n.build()};t.version="2.3.9";t.utils={},t.utils.warn=function(e){return function(n){e.console&&console.warn&&console.warn(n)}}(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var n=Object.create(null),r=Object.keys(e),i=0;i0){var h=t.utils.clone(n)||{};h.position=[a,l],h.index=s.length,s.push(new t.Token(r.slice(a,o),h))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,n){n in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn(`Function is not registered with pipeline. This may cause problems when serialising the index. `,e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(r){var i=t.Pipeline.registeredFunctions[r];if(i)n.add(i);else throw new Error("Cannot load unregistered function: "+r)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(n){t.Pipeline.warnIfFunctionNotRegistered(n),this._stack.push(n)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var r=this._stack.indexOf(e);if(r==-1)throw new Error("Cannot find existingFn");r=r+1,this._stack.splice(r,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var r=this._stack.indexOf(e);if(r==-1)throw new Error("Cannot find existingFn");this._stack.splice(r,0,n)},t.Pipeline.prototype.remove=function(e){var n=this._stack.indexOf(e);n!=-1&&this._stack.splice(n,1)},t.Pipeline.prototype.run=function(e){for(var n=this._stack.length,r=0;r1&&(oe&&(r=s),o!=e);)i=r-n,s=n+Math.floor(i/2),o=this.elements[s*2];if(o==e||o>e)return s*2;if(ou?h+=2:a==u&&(n+=r[l+1]*i[h+1],l+=2,h+=2);return n},t.Vector.prototype.similarity=function(e){return this.dot(e)/this.magnitude()||0},t.Vector.prototype.toArray=function(){for(var e=new Array(this.elements.length/2),n=1,r=0;n0){var o=s.str.charAt(0),a;o in s.node.edges?a=s.node.edges[o]:(a=new t.TokenSet,s.node.edges[o]=a),s.str.length==1&&(a.final=!0),i.push({node:a,editsRemaining:s.editsRemaining,str:s.str.slice(1)})}if(s.editsRemaining!=0){if("*"in s.node.edges)var u=s.node.edges["*"];else{var u=new t.TokenSet;s.node.edges["*"]=u}if(s.str.length==0&&(u.final=!0),i.push({node:u,editsRemaining:s.editsRemaining-1,str:s.str}),s.str.length>1&&i.push({node:s.node,editsRemaining:s.editsRemaining-1,str:s.str.slice(1)}),s.str.length==1&&(s.node.final=!0),s.str.length>=1){if("*"in s.node.edges)var l=s.node.edges["*"];else{var l=new t.TokenSet;s.node.edges["*"]=l}s.str.length==1&&(l.final=!0),i.push({node:l,editsRemaining:s.editsRemaining-1,str:s.str.slice(1)})}if(s.str.length>1){var h=s.str.charAt(0),m=s.str.charAt(1),v;m in s.node.edges?v=s.node.edges[m]:(v=new t.TokenSet,s.node.edges[m]=v),s.str.length==1&&(v.final=!0),i.push({node:v,editsRemaining:s.editsRemaining-1,str:h+s.str.slice(2)})}}}return r},t.TokenSet.fromString=function(e){for(var n=new t.TokenSet,r=n,i=0,s=e.length;i=e;n--){var r=this.uncheckedNodes[n],i=r.child.toString();i in this.minimizedNodes?r.parent.edges[r.char]=this.minimizedNodes[i]:(r.child._str=i,this.minimizedNodes[i]=r.child),this.uncheckedNodes.pop()}};t.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},t.Index.prototype.search=function(e){return this.query(function(n){var r=new t.QueryParser(e,n);r.parse()})},t.Index.prototype.query=function(e){for(var n=new t.Query(this.fields),r=Object.create(null),i=Object.create(null),s=Object.create(null),o=Object.create(null),a=Object.create(null),u=0;u1?this._b=1:this._b=e},t.Builder.prototype.k1=function(e){this._k1=e},t.Builder.prototype.add=function(e,n){var r=e[this._ref],i=Object.keys(this._fields);this._documents[r]=n||{},this.documentCount+=1;for(var s=0;s=this.length)return t.QueryLexer.EOS;var e=this.str.charAt(this.pos);return this.pos+=1,e},t.QueryLexer.prototype.width=function(){return this.pos-this.start},t.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},t.QueryLexer.prototype.backup=function(){this.pos-=1},t.QueryLexer.prototype.acceptDigitRun=function(){var e,n;do e=this.next(),n=e.charCodeAt(0);while(n>47&&n<58);e!=t.QueryLexer.EOS&&this.backup()},t.QueryLexer.prototype.more=function(){return this.pos1&&(e.backup(),e.emit(t.QueryLexer.TERM)),e.ignore(),e.more())return t.QueryLexer.lexText},t.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.EDIT_DISTANCE),t.QueryLexer.lexText},t.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.BOOST),t.QueryLexer.lexText},t.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(t.QueryLexer.TERM)},t.QueryLexer.termSeparator=t.tokenizer.separator,t.QueryLexer.lexText=function(e){for(;;){var n=e.next();if(n==t.QueryLexer.EOS)return t.QueryLexer.lexEOS;if(n.charCodeAt(0)==92){e.escapeCharacter();continue}if(n==":")return t.QueryLexer.lexField;if(n=="~")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexEditDistance;if(n=="^")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexBoost;if(n=="+"&&e.width()===1||n=="-"&&e.width()===1)return e.emit(t.QueryLexer.PRESENCE),t.QueryLexer.lexText;if(n.match(t.QueryLexer.termSeparator))return t.QueryLexer.lexTerm}},t.QueryParser=function(e,n){this.lexer=new t.QueryLexer(e),this.query=n,this.currentClause={},this.lexemeIdx=0},t.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=t.QueryParser.parseClause;e;)e=e(this);return this.query},t.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},t.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},t.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},t.QueryParser.parseClause=function(e){var n=e.peekLexeme();if(n!=null)switch(n.type){case t.QueryLexer.PRESENCE:return t.QueryParser.parsePresence;case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var r="expected either a field or a term, found "+n.type;throw n.str.length>=1&&(r+=" with value '"+n.str+"'"),new t.QueryParseError(r,n.start,n.end)}},t.QueryParser.parsePresence=function(e){var n=e.consumeLexeme();if(n!=null){switch(n.str){case"-":e.currentClause.presence=t.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=t.Query.presence.REQUIRED;break;default:var r="unrecognised presence operator'"+n.str+"'";throw new t.QueryParseError(r,n.start,n.end)}var i=e.peekLexeme();if(i==null){var r="expecting term or field, found nothing";throw new t.QueryParseError(r,n.start,n.end)}switch(i.type){case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var r="expecting term or field, found '"+i.type+"'";throw new t.QueryParseError(r,i.start,i.end)}}},t.QueryParser.parseField=function(e){var n=e.consumeLexeme();if(n!=null){if(e.query.allFields.indexOf(n.str)==-1){var r=e.query.allFields.map(function(o){return"'"+o+"'"}).join(", "),i="unrecognised field '"+n.str+"', possible fields: "+r;throw new t.QueryParseError(i,n.start,n.end)}e.currentClause.fields=[n.str];var s=e.peekLexeme();if(s==null){var i="expecting term, found nothing";throw new t.QueryParseError(i,n.start,n.end)}switch(s.type){case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var i="expecting term, found '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseTerm=function(e){var n=e.consumeLexeme();if(n!=null){e.currentClause.term=n.str.toLowerCase(),n.str.indexOf("*")!=-1&&(e.currentClause.usePipeline=!1);var r=e.peekLexeme();if(r==null){e.nextClause();return}switch(r.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+r.type+"'";throw new t.QueryParseError(i,r.start,r.end)}}},t.QueryParser.parseEditDistance=function(e){var n=e.consumeLexeme();if(n!=null){var r=parseInt(n.str,10);if(isNaN(r)){var i="edit distance must be numeric";throw new t.QueryParseError(i,n.start,n.end)}e.currentClause.editDistance=r;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseBoost=function(e){var n=e.consumeLexeme();if(n!=null){var r=parseInt(n.str,10);if(isNaN(r)){var i="boost must be numeric";throw new t.QueryParseError(i,n.start,n.end)}e.currentClause.boost=r;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},function(e,n){typeof define=="function"&&define.amd?define(n):typeof ce=="object"?he.exports=n():e.lunr=n()}(this,function(){return t})})()});var le=[];function B(t,e){le.push({selector:e,constructor:t})}var Y=class{constructor(){this.alwaysVisibleMember=null;this.createComponents(document.body),this.ensureFocusedElementVisible(),window.addEventListener("hashchange",()=>this.ensureFocusedElementVisible())}createComponents(e){le.forEach(n=>{e.querySelectorAll(n.selector).forEach(r=>{r.dataset.hasInstance||(new n.constructor({el:r,app:this}),r.dataset.hasInstance=String(!0))})})}filterChanged(){this.ensureFocusedElementVisible()}ensureFocusedElementVisible(){this.alwaysVisibleMember&&(this.alwaysVisibleMember.classList.remove("always-visible"),this.alwaysVisibleMember.firstElementChild.remove(),this.alwaysVisibleMember=null);let e=document.getElementById(location.hash.substring(1));if(!e)return;let n=e.parentElement;for(;n.tagName!=="SECTION";)n=n.parentElement;if(n.offsetParent==null){this.alwaysVisibleMember=n,n.classList.add("always-visible");let r=document.createElement("p");r.classList.add("warning"),r.textContent="This member is normally hidden due to your filter settings.",n.prepend(r)}}};var I=class{constructor(e){this.el=e.el,this.app=e.app}};var J=class{constructor(){this.listeners={}}addEventListener(e,n){e in this.listeners||(this.listeners[e]=[]),this.listeners[e].push(n)}removeEventListener(e,n){if(!(e in this.listeners))return;let r=this.listeners[e];for(let i=0,s=r.length;i{let n=Date.now();return(...r)=>{n+e-Date.now()<0&&(t(...r),n=Date.now())}};var re=class extends J{constructor(){super();this.scrollTop=0;this.lastY=0;this.width=0;this.height=0;this.showToolbar=!0;this.toolbar=document.querySelector(".tsd-page-toolbar"),this.navigation=document.querySelector(".col-menu"),window.addEventListener("scroll",ne(()=>this.onScroll(),10)),window.addEventListener("resize",ne(()=>this.onResize(),10)),this.searchInput=document.querySelector("#tsd-search input"),this.searchInput&&this.searchInput.addEventListener("focus",()=>{this.hideShowToolbar()}),this.onResize(),this.onScroll()}triggerResize(){let n=new CustomEvent("resize",{detail:{width:this.width,height:this.height}});this.dispatchEvent(n)}onResize(){this.width=window.innerWidth||0,this.height=window.innerHeight||0;let n=new CustomEvent("resize",{detail:{width:this.width,height:this.height}});this.dispatchEvent(n)}onScroll(){this.scrollTop=window.scrollY||0;let n=new CustomEvent("scroll",{detail:{scrollTop:this.scrollTop}});this.dispatchEvent(n),this.hideShowToolbar()}hideShowToolbar(){let n=this.showToolbar;this.showToolbar=this.lastY>=this.scrollTop||this.scrollTop<=0||!!this.searchInput&&this.searchInput===document.activeElement,n!==this.showToolbar&&(this.toolbar.classList.toggle("tsd-page-toolbar--hide"),this.navigation?.classList.toggle("col-menu--hide")),this.lastY=this.scrollTop}},R=re;R.instance=new re;var X=class extends I{constructor(n){super(n);this.anchors=[];this.index=-1;R.instance.addEventListener("resize",()=>this.onResize()),R.instance.addEventListener("scroll",r=>this.onScroll(r)),this.createAnchors()}createAnchors(){let n=window.location.href;n.indexOf("#")!=-1&&(n=n.substring(0,n.indexOf("#"))),this.el.querySelectorAll("a").forEach(r=>{let i=r.href;if(i.indexOf("#")==-1||i.substring(0,n.length)!=n)return;let s=i.substring(i.indexOf("#")+1),o=document.querySelector("a.tsd-anchor[name="+s+"]"),a=r.parentNode;!o||!a||this.anchors.push({link:a,anchor:o,position:0})}),this.onResize()}onResize(){let n;for(let i=0,s=this.anchors.length;ii.position-s.position);let r=new CustomEvent("scroll",{detail:{scrollTop:R.instance.scrollTop}});this.onScroll(r)}onScroll(n){let r=n.detail.scrollTop+5,i=this.anchors,s=i.length-1,o=this.index;for(;o>-1&&i[o].position>r;)o-=1;for(;o-1&&this.anchors[this.index].link.classList.remove("focus"),this.index=o,this.index>-1&&this.anchors[this.index].link.classList.add("focus"))}};var ue=(t,e=100)=>{let n;return()=>{clearTimeout(n),n=setTimeout(()=>t(),e)}};var me=De(de());function ve(){let t=document.getElementById("tsd-search");if(!t)return;let e=document.getElementById("search-script");t.classList.add("loading"),e&&(e.addEventListener("error",()=>{t.classList.remove("loading"),t.classList.add("failure")}),e.addEventListener("load",()=>{t.classList.remove("loading"),t.classList.add("ready")}),window.searchData&&t.classList.remove("loading"));let n=document.querySelector("#tsd-search input"),r=document.querySelector("#tsd-search .results");if(!n||!r)throw new Error("The input field or the result list wrapper was not found");let i=!1;r.addEventListener("mousedown",()=>i=!0),r.addEventListener("mouseup",()=>{i=!1,t.classList.remove("has-focus")}),n.addEventListener("focus",()=>t.classList.add("has-focus")),n.addEventListener("blur",()=>{i||(i=!1,t.classList.remove("has-focus"))});let s={base:t.dataset.base+"/"};Fe(t,r,n,s)}function Fe(t,e,n,r){n.addEventListener("input",ue(()=>{He(t,e,n,r)},200));let i=!1;n.addEventListener("keydown",s=>{i=!0,s.key=="Enter"?Ve(e,n):s.key=="Escape"?n.blur():s.key=="ArrowUp"?pe(e,-1):s.key==="ArrowDown"?pe(e,1):i=!1}),n.addEventListener("keypress",s=>{i&&s.preventDefault()}),document.body.addEventListener("keydown",s=>{s.altKey||s.ctrlKey||s.metaKey||!n.matches(":focus")&&s.key==="/"&&(n.focus(),s.preventDefault())})}function Ae(t,e){t.index||window.searchData&&(e.classList.remove("loading"),e.classList.add("ready"),t.data=window.searchData,t.index=me.Index.load(window.searchData.index))}function He(t,e,n,r){if(Ae(r,t),!r.index||!r.data)return;e.textContent="";let i=n.value.trim(),s=i?r.index.search(`*${i}*`):[];for(let o=0;oa.score-o.score);for(let o=0,a=Math.min(10,s.length);o${fe(u.parent,i)}.${l}`);let h=document.createElement("li");h.classList.value=u.classes??"";let m=document.createElement("a");m.href=r.base+u.url,m.innerHTML=l,h.append(m),e.appendChild(h)}}function pe(t,e){let n=t.querySelector(".current");if(!n)n=t.querySelector(e==1?"li:first-child":"li:last-child"),n&&n.classList.add("current");else{let r=n;if(e===1)do r=r.nextElementSibling??void 0;while(r instanceof HTMLElement&&r.offsetParent==null);else do r=r.previousElementSibling??void 0;while(r instanceof HTMLElement&&r.offsetParent==null);r&&(n.classList.remove("current"),r.classList.add("current"))}}function Ve(t,e){let n=t.querySelector(".current");if(n||(n=t.querySelector("li:first-child")),n){let r=n.querySelector("a");r&&(window.location.href=r.href),e.blur()}}function fe(t,e){if(e==="")return t;let n=t.toLocaleLowerCase(),r=e.toLocaleLowerCase(),i=[],s=0,o=n.indexOf(r);for(;o!=-1;)i.push(ie(t.substring(s,o)),`${ie(t.substring(o,o+r.length))}`),s=o+r.length,o=n.indexOf(r,s);return i.push(ie(t.substring(s))),i.join("")}var Ne={"&":"&","<":"<",">":">","'":"'",'"':"""};function ie(t){return t.replace(/[&<>"'"]/g,e=>Ne[e])}var F="mousedown",ye="mousemove",j="mouseup",Z={x:0,y:0},ge=!1,se=!1,Be=!1,A=!1,xe=/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent);document.documentElement.classList.add(xe?"is-mobile":"not-mobile");xe&&"ontouchstart"in document.documentElement&&(Be=!0,F="touchstart",ye="touchmove",j="touchend");document.addEventListener(F,t=>{se=!0,A=!1;let e=F=="touchstart"?t.targetTouches[0]:t;Z.y=e.pageY||0,Z.x=e.pageX||0});document.addEventListener(ye,t=>{if(se&&!A){let e=F=="touchstart"?t.targetTouches[0]:t,n=Z.x-(e.pageX||0),r=Z.y-(e.pageY||0);A=Math.sqrt(n*n+r*r)>10}});document.addEventListener(j,()=>{se=!1});document.addEventListener("click",t=>{ge&&(t.preventDefault(),t.stopImmediatePropagation(),ge=!1)});var K=class extends I{constructor(n){super(n);this.className=this.el.dataset.toggle||"",this.el.addEventListener(j,r=>this.onPointerUp(r)),this.el.addEventListener("click",r=>r.preventDefault()),document.addEventListener(F,r=>this.onDocumentPointerDown(r)),document.addEventListener(j,r=>this.onDocumentPointerUp(r))}setActive(n){if(this.active==n)return;this.active=n,document.documentElement.classList.toggle("has-"+this.className,n),this.el.classList.toggle("active",n);let r=(this.active?"to-has-":"from-has-")+this.className;document.documentElement.classList.add(r),setTimeout(()=>document.documentElement.classList.remove(r),500)}onPointerUp(n){A||(this.setActive(!0),n.preventDefault())}onDocumentPointerDown(n){if(this.active){if(n.target.closest(".col-menu, .tsd-filter-group"))return;this.setActive(!1)}}onDocumentPointerUp(n){if(!A&&this.active&&n.target.closest(".col-menu")){let r=n.target.closest("a");if(r){let i=window.location.href;i.indexOf("#")!=-1&&(i=i.substring(0,i.indexOf("#"))),r.href.substring(0,i.length)==i&&setTimeout(()=>this.setActive(!1),250)}}}};var oe;try{oe=localStorage}catch{oe={getItem(){return null},setItem(){}}}var Q=oe;var Le=document.head.appendChild(document.createElement("style"));Le.dataset.for="filters";var ee=class extends I{constructor(n){super(n);this.key=`filter-${this.el.name}`,this.value=this.el.checked,this.el.addEventListener("change",()=>{this.setLocalStorage(this.el.checked)}),this.setLocalStorage(this.fromLocalStorage()),Le.innerHTML+=`html:not(.${this.key}) .tsd-is-${this.el.name} { display: none; } `}fromLocalStorage(){let n=Q.getItem(this.key);return n?n==="true":this.el.checked}setLocalStorage(n){Q.setItem(this.key,n.toString()),this.value=n,this.handleValueChange()}handleValueChange(){this.el.checked=this.value,document.documentElement.classList.toggle(this.key,this.value),this.app.filterChanged(),document.querySelectorAll(".tsd-index-section").forEach(n=>{n.style.display="block";let r=Array.from(n.querySelectorAll(".tsd-index-link")).every(i=>i.offsetParent==null);n.style.display=r?"none":"block"})}};var te=class extends I{constructor(n){super(n);this.calculateHeights(),this.summary=this.el.querySelector(".tsd-accordion-summary"),this.icon=this.summary.querySelector("svg"),this.key=`tsd-accordion-${this.summary.textContent.replace(/\s+/g,"-").toLowerCase()}`,this.setLocalStorage(this.fromLocalStorage(),!0),this.summary.addEventListener("click",r=>this.toggleVisibility(r)),this.icon.style.transform=this.getIconRotation()}getIconRotation(n=this.el.open){return`rotate(${n?0:-90}deg)`}calculateHeights(){let n=this.el.open,{position:r,left:i}=this.el.style;this.el.style.position="fixed",this.el.style.left="-9999px",this.el.open=!0,this.expandedHeight=this.el.offsetHeight+"px",this.el.open=!1,this.collapsedHeight=this.el.offsetHeight+"px",this.el.open=n,this.el.style.height=n?this.expandedHeight:this.collapsedHeight,this.el.style.position=r,this.el.style.left=i}toggleVisibility(n){n.preventDefault(),this.el.style.overflow="hidden",this.el.open?this.collapse():this.expand()}expand(n=!0){this.el.open=!0,this.animate(this.collapsedHeight,this.expandedHeight,{opening:!0,duration:n?300:0})}collapse(n=!0){this.animate(this.expandedHeight,this.collapsedHeight,{opening:!1,duration:n?300:0})}animate(n,r,{opening:i,duration:s=300}){if(this.animation)return;let o={duration:s,easing:"ease"};this.animation=this.el.animate({height:[n,r]},o),this.icon.animate({transform:[this.icon.style.transform||this.getIconRotation(!i),this.getIconRotation(i)]},o).addEventListener("finish",()=>{this.icon.style.transform=this.getIconRotation(i)}),this.animation.addEventListener("finish",()=>this.animationEnd(i))}animationEnd(n){this.el.open=n,this.animation=void 0,this.el.style.height="auto",this.el.style.overflow="visible",this.setLocalStorage(n)}fromLocalStorage(){let n=Q.getItem(this.key);return n?n==="true":this.el.open}setLocalStorage(n,r=!1){this.fromLocalStorage()===n&&!r||(Q.setItem(this.key,n.toString()),this.el.open=n,this.handleValueChange(r))}handleValueChange(n=!1){this.fromLocalStorage()===this.el.open&&!n||(this.fromLocalStorage()?this.expand(!1):this.collapse(!1))}};function be(t){let e=Q.getItem("tsd-theme")||"os";t.value=e,Ee(e),t.addEventListener("change",()=>{Q.setItem("tsd-theme",t.value),Ee(t.value)})}function Ee(t){document.documentElement.dataset.theme=t}ve();B(X,".menu-highlight");B(K,"a[data-toggle]");B(te,".tsd-index-accordion");B(ee,".tsd-filter-item input[type=checkbox]");var we=document.getElementById("theme");we&&be(we);var je=new Y;Object.defineProperty(window,"app",{value:je});})(); +/*! Bundled license information: + +lunr/lunr.js: + (** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 + * Copyright (C) 2020 Oliver Nightingale + * @license MIT + *) + (*! + * lunr.utils + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.Set + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.tokenizer + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.Pipeline + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.Vector + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.stemmer + * Copyright (C) 2020 Oliver Nightingale + * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt + *) + (*! + * lunr.stopWordFilter + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.trimmer + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.TokenSet + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.Index + * Copyright (C) 2020 Oliver Nightingale + *) + (*! + * lunr.Builder + * Copyright (C) 2020 Oliver Nightingale + *) +*/ diff --git a/typedoc/assets/search.js b/typedoc/assets/search.js index 22bf50d..b80a189 100644 --- a/typedoc/assets/search.js +++ b/typedoc/assets/search.js @@ -1 +1 @@ -window.searchData = JSON.parse("{\"kinds\":{\"4\":\"Namespace\",\"8\":\"Enumeration\",\"16\":\"Enumeration Member\",\"32\":\"Variable\",\"64\":\"Function\",\"128\":\"Class\",\"256\":\"Interface\",\"512\":\"Constructor\",\"1024\":\"Property\",\"2048\":\"Method\",\"65536\":\"Type literal\",\"262144\":\"Accessor\",\"4194304\":\"Type alias\"},\"rows\":[{\"kind\":32,\"name\":\"version\",\"url\":\"variables/version.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":1024,\"name\":\"tf\",\"url\":\"index.html#tf\",\"classes\":\"tsd-kind-property\"},{\"kind\":4,\"name\":\"draw\",\"url\":\"modules/draw.html\",\"classes\":\"tsd-kind-namespace\"},{\"kind\":64,\"name\":\"drawContour\",\"url\":\"functions/draw.drawContour.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":64,\"name\":\"drawDetections\",\"url\":\"functions/draw.drawDetections.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":4194304,\"name\":\"TDrawDetectionsInput\",\"url\":\"types/draw.TDrawDetectionsInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":64,\"name\":\"drawFaceExpressions\",\"url\":\"functions/draw.drawFaceExpressions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":4194304,\"name\":\"DrawFaceExpressionsInput\",\"url\":\"types/draw.DrawFaceExpressionsInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":256,\"name\":\"IDrawBoxOptions\",\"url\":\"interfaces/draw.IDrawBoxOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"boxColor\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#boxColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"drawLabelOptions\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#drawLabelOptions\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":128,\"name\":\"DrawBoxOptions\",\"url\":\"classes/draw.DrawBoxOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawBoxOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"boxColor\",\"url\":\"classes/draw.DrawBoxOptions.html#boxColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"classes/draw.DrawBoxOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"drawLabelOptions\",\"url\":\"classes/draw.DrawBoxOptions.html#drawLabelOptions\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"classes/draw.DrawBoxOptions.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":128,\"name\":\"DrawBox\",\"url\":\"classes/draw.DrawBox.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":1024,\"name\":\"box\",\"url\":\"classes/draw.DrawBox.html#box\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawBox.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawBox.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":64,\"name\":\"drawFaceLandmarks\",\"url\":\"functions/draw.drawFaceLandmarks-1.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":256,\"name\":\"IDrawFaceLandmarksOptions\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"drawLines\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#drawLines\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawPoints\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#drawPoints\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointSize\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#pointSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineColor\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#lineColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointColor\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#pointColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":128,\"name\":\"DrawFaceLandmarksOptions\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawLines\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#drawLines\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawPoints\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#drawPoints\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointSize\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#pointSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineColor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#lineColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointColor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#pointColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":128,\"name\":\"DrawFaceLandmarks\",\"url\":\"classes/draw.DrawFaceLandmarks.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawFaceLandmarks.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":1024,\"name\":\"faceLandmarks\",\"url\":\"classes/draw.DrawFaceLandmarks.html#faceLandmarks\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawFaceLandmarks.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawFaceLandmarks.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":4194304,\"name\":\"DrawFaceLandmarksInput\",\"url\":\"types/draw.DrawFaceLandmarksInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":8,\"name\":\"AnchorPosition\",\"url\":\"enums/draw.AnchorPosition.html\",\"classes\":\"tsd-kind-enum tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":16,\"name\":\"TOP_LEFT\",\"url\":\"enums/draw.AnchorPosition.html#TOP_LEFT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"TOP_RIGHT\",\"url\":\"enums/draw.AnchorPosition.html#TOP_RIGHT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"BOTTOM_LEFT\",\"url\":\"enums/draw.AnchorPosition.html#BOTTOM_LEFT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"BOTTOM_RIGHT\",\"url\":\"enums/draw.AnchorPosition.html#BOTTOM_RIGHT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":256,\"name\":\"IDrawTextFieldOptions\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"anchorPosition\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#anchorPosition\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"backgroundColor\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#backgroundColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontColor\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontSize\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontStyle\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontStyle\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"padding\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#padding\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":128,\"name\":\"DrawTextFieldOptions\",\"url\":\"classes/draw.DrawTextFieldOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"anchorPosition\",\"url\":\"classes/draw.DrawTextFieldOptions.html#anchorPosition\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"backgroundColor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#backgroundColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontColor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontSize\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontStyle\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontStyle\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"padding\",\"url\":\"classes/draw.DrawTextFieldOptions.html#padding\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":128,\"name\":\"DrawTextField\",\"url\":\"classes/draw.DrawTextField.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawTextField.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"text\",\"url\":\"classes/draw.DrawTextField.html#text\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"anchor\",\"url\":\"classes/draw.DrawTextField.html#anchor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawTextField.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"measureWidth\",\"url\":\"classes/draw.DrawTextField.html#measureWidth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"measureHeight\",\"url\":\"classes/draw.DrawTextField.html#measureHeight\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"getUpperLeft\",\"url\":\"classes/draw.DrawTextField.html#getUpperLeft\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawTextField.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":4,\"name\":\"utils\",\"url\":\"modules/utils.html\",\"classes\":\"tsd-kind-namespace\"},{\"kind\":64,\"name\":\"isTensor\",\"url\":\"functions/utils.isTensor.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor1D\",\"url\":\"functions/utils.isTensor1D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor2D\",\"url\":\"functions/utils.isTensor2D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor3D\",\"url\":\"functions/utils.isTensor3D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor4D\",\"url\":\"functions/utils.isTensor4D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isFloat\",\"url\":\"functions/utils.isFloat.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isEven\",\"url\":\"functions/utils.isEven.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"round\",\"url\":\"functions/utils.round.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isDimensions\",\"url\":\"functions/utils.isDimensions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"computeReshapedDimensions\",\"url\":\"functions/utils.computeReshapedDimensions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"getCenterPoint\",\"url\":\"functions/utils.getCenterPoint.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"range\",\"url\":\"functions/utils.range.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isValidNumber\",\"url\":\"functions/utils.isValidNumber.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isValidProbablitiy\",\"url\":\"functions/utils.isValidProbablitiy.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":128,\"name\":\"AgeGenderNet\",\"url\":\"classes/AgeGenderNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/AgeGenderNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/AgeGenderNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/AgeGenderNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/AgeGenderNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/AgeGenderNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"predictAgeAndGender\",\"url\":\"classes/AgeGenderNet.html#predictAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/AgeGenderNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/AgeGenderNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/AgeGenderNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/AgeGenderNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/AgeGenderNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/AgeGenderNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/AgeGenderNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/AgeGenderNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/AgeGenderNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/AgeGenderNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/AgeGenderNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/AgeGenderNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/AgeGenderNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/AgeGenderNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/AgeGenderNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/AgeGenderNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/AgeGenderNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/AgeGenderNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/AgeGenderNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":8,\"name\":\"Gender\",\"url\":\"enums/Gender.html\",\"classes\":\"tsd-kind-enum\"},{\"kind\":16,\"name\":\"FEMALE\",\"url\":\"enums/Gender.html#FEMALE\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"Gender\"},{\"kind\":16,\"name\":\"MALE\",\"url\":\"enums/Gender.html#MALE\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"Gender\"},{\"kind\":4194304,\"name\":\"AgeAndGenderPrediction\",\"url\":\"types/AgeAndGenderPrediction.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/AgeAndGenderPrediction.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"AgeAndGenderPrediction\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/AgeAndGenderPrediction.html#__type.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/AgeAndGenderPrediction.html#__type.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":1024,\"name\":\"genderProbability\",\"url\":\"types/AgeAndGenderPrediction.html#__type.genderProbability\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":4194304,\"name\":\"NetOutput\",\"url\":\"types/NetOutput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetOutput.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"NetOutput\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/NetOutput.html#__type.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetOutput.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/NetOutput.html#__type.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetOutput.__type\"},{\"kind\":4194304,\"name\":\"NetParams\",\"url\":\"types/NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"NetParams\"},{\"kind\":1024,\"name\":\"fc\",\"url\":\"types/NetParams.html#__type.fc\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetParams.html#__type.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/NetParams.html#__type.__type-1.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/NetParams.html#__type.__type-1.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type.__type\"},{\"kind\":256,\"name\":\"IBoundingBox\",\"url\":\"interfaces/IBoundingBox.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"left\",\"url\":\"interfaces/IBoundingBox.html#left\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"top\",\"url\":\"interfaces/IBoundingBox.html#top\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"right\",\"url\":\"interfaces/IBoundingBox.html#right\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"bottom\",\"url\":\"interfaces/IBoundingBox.html#bottom\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":128,\"name\":\"BoundingBox\",\"url\":\"classes/BoundingBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/BoundingBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/BoundingBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/BoundingBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/BoundingBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/BoundingBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/BoundingBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/BoundingBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/BoundingBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/BoundingBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/BoundingBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/BoundingBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/BoundingBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/BoundingBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/BoundingBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/BoundingBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/BoundingBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/BoundingBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/BoundingBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/BoundingBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/BoundingBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/BoundingBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/BoundingBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/BoundingBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/BoundingBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/BoundingBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":128,\"name\":\"Box\",\"url\":\"classes/Box.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/Box.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/Box.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Box.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Box.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Box.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Box.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Box.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/Box.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/Box.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/Box.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/Box.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/Box.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/Box.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/Box.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/Box.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/Box.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/Box.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Box.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/Box.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/Box.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/Box.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/Box.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/Box.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/Box.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/Box.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":256,\"name\":\"IDimensions\",\"url\":\"interfaces/IDimensions.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"interfaces/IDimensions.html#width\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IDimensions\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"interfaces/IDimensions.html#height\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IDimensions\"},{\"kind\":128,\"name\":\"Dimensions\",\"url\":\"classes/Dimensions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Dimensions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Dimensions.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Dimensions.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":2048,\"name\":\"reverse\",\"url\":\"classes/Dimensions.html#reverse\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":256,\"name\":\"IFaceDetecion\",\"url\":\"interfaces/IFaceDetecion.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"score\",\"url\":\"interfaces/IFaceDetecion.html#score\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceDetecion\"},{\"kind\":1024,\"name\":\"box\",\"url\":\"interfaces/IFaceDetecion.html#box\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceDetecion\"},{\"kind\":128,\"name\":\"FaceDetection\",\"url\":\"classes/FaceDetection.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceDetection.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceDetection\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceDetection.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/FaceDetection.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/FaceDetection.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"className\",\"url\":\"classes/FaceDetection.html#className\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"box\",\"url\":\"classes/FaceDetection.html#box\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageDims\",\"url\":\"classes/FaceDetection.html#imageDims\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceDetection.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceDetection.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"relativeBox\",\"url\":\"classes/FaceDetection.html#relativeBox\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":256,\"name\":\"IFaceLandmarks\",\"url\":\"interfaces/IFaceLandmarks.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"positions\",\"url\":\"interfaces/IFaceLandmarks.html#positions\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceLandmarks\"},{\"kind\":1024,\"name\":\"shift\",\"url\":\"interfaces/IFaceLandmarks.html#shift\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceLandmarks\"},{\"kind\":128,\"name\":\"FaceLandmarks\",\"url\":\"classes/FaceLandmarks.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":128,\"name\":\"FaceLandmarks5\",\"url\":\"classes/FaceLandmarks5.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks5.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks5.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks5.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks5.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks5.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks5.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks5.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks5.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks5.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks5.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":128,\"name\":\"FaceLandmarks68\",\"url\":\"classes/FaceLandmarks68.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks68.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getJawOutline\",\"url\":\"classes/FaceLandmarks68.html#getJawOutline\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getLeftEyeBrow\",\"url\":\"classes/FaceLandmarks68.html#getLeftEyeBrow\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getRightEyeBrow\",\"url\":\"classes/FaceLandmarks68.html#getRightEyeBrow\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getNose\",\"url\":\"classes/FaceLandmarks68.html#getNose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getLeftEye\",\"url\":\"classes/FaceLandmarks68.html#getLeftEye\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getRightEye\",\"url\":\"classes/FaceLandmarks68.html#getRightEye\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getMouth\",\"url\":\"classes/FaceLandmarks68.html#getMouth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks68.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks68.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks68.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks68.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks68.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks68.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks68.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks68.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks68.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":256,\"name\":\"IFaceMatch\",\"url\":\"interfaces/IFaceMatch.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"interfaces/IFaceMatch.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceMatch\"},{\"kind\":1024,\"name\":\"distance\",\"url\":\"interfaces/IFaceMatch.html#distance\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceMatch\"},{\"kind\":128,\"name\":\"FaceMatch\",\"url\":\"classes/FaceMatch.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceMatch.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/FaceMatch.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":262144,\"name\":\"distance\",\"url\":\"classes/FaceMatch.html#distance\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":2048,\"name\":\"toString\",\"url\":\"classes/FaceMatch.html#toString\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":128,\"name\":\"LabeledBox\",\"url\":\"classes/LabeledBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"assertIsValidLabeledBox\",\"url\":\"classes/LabeledBox.html#assertIsValidLabeledBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/LabeledBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/LabeledBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/LabeledBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/LabeledBox.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/LabeledBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/LabeledBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/LabeledBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/LabeledBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/LabeledBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/LabeledBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/LabeledBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/LabeledBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/LabeledBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/LabeledBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/LabeledBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/LabeledBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/LabeledBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/LabeledBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/LabeledBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/LabeledBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/LabeledBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/LabeledBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/LabeledBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/LabeledBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/LabeledBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/LabeledBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":128,\"name\":\"LabeledFaceDescriptors\",\"url\":\"classes/LabeledFaceDescriptors.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"fromJSON\",\"url\":\"classes/LabeledFaceDescriptors.html#fromJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/LabeledFaceDescriptors.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/LabeledFaceDescriptors.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":262144,\"name\":\"descriptors\",\"url\":\"classes/LabeledFaceDescriptors.html#descriptors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":2048,\"name\":\"toJSON\",\"url\":\"classes/LabeledFaceDescriptors.html#toJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":128,\"name\":\"ObjectDetection\",\"url\":\"classes/ObjectDetection.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ObjectDetection.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/ObjectDetection.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/ObjectDetection.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"className\",\"url\":\"classes/ObjectDetection.html#className\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"box\",\"url\":\"classes/ObjectDetection.html#box\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageDims\",\"url\":\"classes/ObjectDetection.html#imageDims\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/ObjectDetection.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/ObjectDetection.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"relativeBox\",\"url\":\"classes/ObjectDetection.html#relativeBox\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/ObjectDetection.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":256,\"name\":\"IPoint\",\"url\":\"interfaces/IPoint.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"interfaces/IPoint.html#x\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IPoint\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"interfaces/IPoint.html#y\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IPoint\"},{\"kind\":128,\"name\":\"Point\",\"url\":\"classes/Point.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Point.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Point.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Point.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"add\",\"url\":\"classes/Point.html#add\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"sub\",\"url\":\"classes/Point.html#sub\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"mul\",\"url\":\"classes/Point.html#mul\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"div\",\"url\":\"classes/Point.html#div\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"abs\",\"url\":\"classes/Point.html#abs\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"magnitude\",\"url\":\"classes/Point.html#magnitude\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Point.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":128,\"name\":\"PredictedBox\",\"url\":\"classes/PredictedBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"assertIsValidPredictedBox\",\"url\":\"classes/PredictedBox.html#assertIsValidPredictedBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"assertIsValidLabeledBox\",\"url\":\"classes/PredictedBox.html#assertIsValidLabeledBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/PredictedBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/PredictedBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/PredictedBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/PredictedBox.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/PredictedBox.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/PredictedBox.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/PredictedBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/PredictedBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/PredictedBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/PredictedBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/PredictedBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/PredictedBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/PredictedBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/PredictedBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/PredictedBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/PredictedBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/PredictedBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/PredictedBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/PredictedBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/PredictedBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/PredictedBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/PredictedBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/PredictedBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/PredictedBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/PredictedBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/PredictedBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/PredictedBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/PredictedBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":256,\"name\":\"IRect\",\"url\":\"interfaces/IRect.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"interfaces/IRect.html#x\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"interfaces/IRect.html#y\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"interfaces/IRect.html#width\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"interfaces/IRect.html#height\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":128,\"name\":\"Rect\",\"url\":\"classes/Rect.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/Rect.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/Rect.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Rect.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Rect.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Rect.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Rect.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Rect.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/Rect.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/Rect.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/Rect.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/Rect.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/Rect.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/Rect.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/Rect.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/Rect.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/Rect.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/Rect.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Rect.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/Rect.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/Rect.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/Rect.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/Rect.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/Rect.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/Rect.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/Rect.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":64,\"name\":\"awaitMediaLoaded\",\"url\":\"functions/awaitMediaLoaded.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"bufferToImage\",\"url\":\"functions/bufferToImage.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createCanvas\",\"url\":\"functions/createCanvas.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createCanvasFromMedia\",\"url\":\"functions/createCanvasFromMedia.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extractFaces\",\"url\":\"functions/extractFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extractFaceTensors\",\"url\":\"functions/extractFaceTensors.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchImage\",\"url\":\"functions/fetchImage.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchJson\",\"url\":\"functions/fetchJson.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchNetWeights\",\"url\":\"functions/fetchNetWeights.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchOrThrow\",\"url\":\"functions/fetchOrThrow.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchVideo\",\"url\":\"functions/fetchVideo.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"getContext2dOrThrow\",\"url\":\"functions/getContext2dOrThrow.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"getMediaDimensions\",\"url\":\"functions/getMediaDimensions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"imageTensorToCanvas\",\"url\":\"functions/imageTensorToCanvas.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"imageToSquare\",\"url\":\"functions/imageToSquare.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"isMediaElement\",\"url\":\"functions/isMediaElement.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"isMediaLoaded\",\"url\":\"functions/isMediaLoaded.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadWeightMap\",\"url\":\"functions/loadWeightMap.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"matchDimensions\",\"url\":\"functions/matchDimensions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type.width\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions.__type\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type.height\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions.__type\"},{\"kind\":128,\"name\":\"NetInput\",\"url\":\"classes/NetInput.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/NetInput.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"imageTensors\",\"url\":\"classes/NetInput.html#imageTensors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"canvases\",\"url\":\"classes/NetInput.html#canvases\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"isBatchInput\",\"url\":\"classes/NetInput.html#isBatchInput\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"batchSize\",\"url\":\"classes/NetInput.html#batchSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"inputDimensions\",\"url\":\"classes/NetInput.html#inputDimensions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/NetInput.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"reshapedInputDimensions\",\"url\":\"classes/NetInput.html#reshapedInputDimensions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInput\",\"url\":\"classes/NetInput.html#getInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputDimensions\",\"url\":\"classes/NetInput.html#getInputDimensions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputHeight\",\"url\":\"classes/NetInput.html#getInputHeight\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputWidth\",\"url\":\"classes/NetInput.html#getInputWidth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getReshapedInputDimensions\",\"url\":\"classes/NetInput.html#getReshapedInputDimensions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"toBatchTensor\",\"url\":\"classes/NetInput.html#toBatchTensor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":64,\"name\":\"resolveInput\",\"url\":\"functions/resolveInput.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"toNetInput\",\"url\":\"functions/toNetInput.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"TMediaElement\",\"url\":\"types/TMediaElement.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TResolvedNetInput\",\"url\":\"types/TResolvedNetInput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TNetInputArg\",\"url\":\"types/TNetInputArg.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TNetInput\",\"url\":\"types/TNetInput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":32,\"name\":\"env\",\"url\":\"variables/env.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-variable\",\"parent\":\"env\"},{\"kind\":1024,\"name\":\"getEnv\",\"url\":\"variables/env.html#__type.getEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-7\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"setEnv\",\"url\":\"variables/env.html#__type.setEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-17\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"initialize\",\"url\":\"variables/env.html#__type.initialize\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-9\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"createBrowserEnv\",\"url\":\"variables/env.html#__type.createBrowserEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"createFileSystem\",\"url\":\"variables/env.html#__type.createFileSystem\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-3\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"createNodejsEnv\",\"url\":\"variables/env.html#__type.createNodejsEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-5\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"monkeyPatch\",\"url\":\"variables/env.html#__type.monkeyPatch\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-15\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"isBrowser\",\"url\":\"variables/env.html#__type.isBrowser\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-11\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":1024,\"name\":\"isNodejs\",\"url\":\"variables/env.html#__type.isNodejs\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.__type-13\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":4194304,\"name\":\"FileSystem\",\"url\":\"types/FileSystem.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FileSystem.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"FileSystem\"},{\"kind\":1024,\"name\":\"readFile\",\"url\":\"types/FileSystem.html#__type.readFile\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FileSystem.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FileSystem.html#__type.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-literal\",\"parent\":\"FileSystem.__type\"},{\"kind\":4194304,\"name\":\"Environment\",\"url\":\"types/Environment.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":128,\"name\":\"FaceExpressionNet\",\"url\":\"classes/FaceExpressionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceExpressionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceExpressionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceExpressionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"predictExpressions\",\"url\":\"classes/FaceExpressionNet.html#predictExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceExpressionNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceExpressionNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceExpressionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceExpressionNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceExpressionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceExpressionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceExpressionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceExpressionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceExpressionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceExpressionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceExpressionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceExpressionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceExpressionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceExpressionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceExpressionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceExpressionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceExpressionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceExpressionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceExpressionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceExpressionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceExpressionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":32,\"name\":\"FACE_EXPRESSION_LABELS\",\"url\":\"variables/FACE_EXPRESSION_LABELS.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":128,\"name\":\"FaceExpressions\",\"url\":\"classes/FaceExpressions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceExpressions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"neutral\",\"url\":\"classes/FaceExpressions.html#neutral\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"happy\",\"url\":\"classes/FaceExpressions.html#happy\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"sad\",\"url\":\"classes/FaceExpressions.html#sad\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"angry\",\"url\":\"classes/FaceExpressions.html#angry\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"fearful\",\"url\":\"classes/FaceExpressions.html#fearful\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"disgusted\",\"url\":\"classes/FaceExpressions.html#disgusted\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"surprised\",\"url\":\"classes/FaceExpressions.html#surprised\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":2048,\"name\":\"asSortedArray\",\"url\":\"classes/FaceExpressions.html#asSortedArray\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":128,\"name\":\"FaceLandmarkNet\",\"url\":\"classes/FaceLandmarkNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarkNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmarkNet.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmarkNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmarkNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmarkNet.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmarkNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmarkNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmarkNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmarkNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmarkNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmarkNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmarkNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmarkNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmarkNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmarkNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmarkNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmarkNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmarkNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmarkNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmarkNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmarkNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmarkNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmarkNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmarkNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmarkNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmarkNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":128,\"name\":\"FaceLandmark68Net\",\"url\":\"classes/FaceLandmark68Net.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmark68Net.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmark68Net.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmark68Net.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmark68Net.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmark68Net.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmark68Net.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmark68Net.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmark68Net.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmark68Net.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmark68Net.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmark68Net.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68Net.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmark68Net.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmark68Net.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmark68Net.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmark68Net.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmark68Net.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmark68Net.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmark68Net.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmark68Net.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmark68Net.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmark68Net.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmark68Net.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmark68Net.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmark68Net.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmark68Net.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":128,\"name\":\"FaceLandmark68TinyNet\",\"url\":\"classes/FaceLandmark68TinyNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmark68TinyNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmark68TinyNet.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmark68TinyNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmark68TinyNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmark68TinyNet.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmark68TinyNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmark68TinyNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmark68TinyNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmark68TinyNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmark68TinyNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68TinyNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmark68TinyNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmark68TinyNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmark68TinyNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmark68TinyNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmark68TinyNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmark68TinyNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmark68TinyNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":64,\"name\":\"createFaceRecognitionNet\",\"url\":\"functions/createFaceRecognitionNet.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"FaceRecognitionNet\",\"url\":\"classes/FaceRecognitionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceRecognitionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceRecognitionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceRecognitionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"computeFaceDescriptor\",\"url\":\"classes/FaceRecognitionNet.html#computeFaceDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceRecognitionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceRecognitionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceRecognitionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceRecognitionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceRecognitionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceRecognitionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceRecognitionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceRecognitionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceRecognitionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceRecognitionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceRecognitionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceRecognitionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceRecognitionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceRecognitionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceRecognitionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceRecognitionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceRecognitionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceRecognitionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":64,\"name\":\"extendWithFaceDescriptor\",\"url\":\"functions/extendWithFaceDescriptor.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceDescriptor\",\"url\":\"types/WithFaceDescriptor.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceDetection\",\"url\":\"functions/isWithFaceDetection.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceDetection\",\"url\":\"functions/extendWithFaceDetection.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceDetection\",\"url\":\"types/WithFaceDetection.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceExpressions\",\"url\":\"functions/isWithFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceExpressions\",\"url\":\"functions/extendWithFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceExpressions\",\"url\":\"types/WithFaceExpressions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceLandmarks\",\"url\":\"functions/isWithFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceLandmarks\",\"url\":\"functions/extendWithFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceLandmarks\",\"url\":\"types/WithFaceLandmarks.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithAge\",\"url\":\"functions/isWithAge.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithAge\",\"url\":\"functions/extendWithAge.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithAge\",\"url\":\"types/WithAge.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithGender\",\"url\":\"functions/isWithGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithGender\",\"url\":\"functions/extendWithGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithGender\",\"url\":\"types/WithGender.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"allFacesSsdMobilenetv1\",\"url\":\"functions/allFacesSsdMobilenetv1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"allFacesTinyYolov2\",\"url\":\"functions/allFacesTinyYolov2.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"allFaces\",\"url\":\"functions/allFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"ComposableTask\",\"url\":\"classes/ComposableTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComposableTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComposableTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComposableTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":128,\"name\":\"ComputeFaceDescriptorsTaskBase\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":128,\"name\":\"ComputeAllFaceDescriptorsTask\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":128,\"name\":\"ComputeSingleFaceDescriptorTask\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":64,\"name\":\"detectSingleFace\",\"url\":\"functions/detectSingleFace.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectAllFaces\",\"url\":\"functions/detectAllFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"DetectFacesTaskBase\",\"url\":\"classes/DetectFacesTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectFacesTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectFacesTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectFacesTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":128,\"name\":\"DetectAllFacesTask\",\"url\":\"classes/DetectAllFacesTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectAllFacesTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectAllFacesTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withFaceLandmarks\",\"url\":\"classes/DetectAllFacesTask.html#withFaceLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectAllFacesTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectAllFacesTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectAllFacesTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":128,\"name\":\"DetectSingleFaceTask\",\"url\":\"classes/DetectSingleFaceTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectSingleFaceTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectSingleFaceTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withFaceLandmarks\",\"url\":\"classes/DetectSingleFaceTask.html#withFaceLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectSingleFaceTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectSingleFaceTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectSingleFaceTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":128,\"name\":\"DetectFaceLandmarksTaskBase\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":128,\"name\":\"DetectAllFaceLandmarksTask\",\"url\":\"classes/DetectAllFaceLandmarksTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceDescriptors\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withFaceDescriptors\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":128,\"name\":\"DetectSingleFaceLandmarksTask\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceDescriptor\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withFaceDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":128,\"name\":\"FaceMatcher\",\"url\":\"classes/FaceMatcher.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"fromJSON\",\"url\":\"classes/FaceMatcher.html#fromJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceMatcher.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":262144,\"name\":\"labeledDescriptors\",\"url\":\"classes/FaceMatcher.html#labeledDescriptors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":262144,\"name\":\"distanceThreshold\",\"url\":\"classes/FaceMatcher.html#distanceThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"computeMeanDistance\",\"url\":\"classes/FaceMatcher.html#computeMeanDistance\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"matchDescriptor\",\"url\":\"classes/FaceMatcher.html#matchDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"findBestMatch\",\"url\":\"classes/FaceMatcher.html#findBestMatch\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"toJSON\",\"url\":\"classes/FaceMatcher.html#toJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":32,\"name\":\"nets\",\"url\":\"variables/nets.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/nets.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-variable\",\"parent\":\"nets\"},{\"kind\":1024,\"name\":\"ssdMobilenetv1\",\"url\":\"variables/nets.html#__type.ssdMobilenetv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"tinyFaceDetector\",\"url\":\"variables/nets.html#__type.tinyFaceDetector\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"tinyYolov2\",\"url\":\"variables/nets.html#__type.tinyYolov2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceLandmark68Net\",\"url\":\"variables/nets.html#__type.faceLandmark68Net\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceLandmark68TinyNet\",\"url\":\"variables/nets.html#__type.faceLandmark68TinyNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceRecognitionNet\",\"url\":\"variables/nets.html#__type.faceRecognitionNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceExpressionNet\",\"url\":\"variables/nets.html#__type.faceExpressionNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"ageGenderNet\",\"url\":\"variables/nets.html#__type.ageGenderNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":64,\"name\":\"ssdMobilenetv1\",\"url\":\"functions/ssdMobilenetv1-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"tinyFaceDetector\",\"url\":\"functions/tinyFaceDetector-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"tinyYolov2\",\"url\":\"functions/tinyYolov2-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectFaceLandmarks\",\"url\":\"functions/detectFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectFaceLandmarksTiny\",\"url\":\"functions/detectFaceLandmarksTiny.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"computeFaceDescriptor\",\"url\":\"functions/computeFaceDescriptor.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"recognizeFaceExpressions\",\"url\":\"functions/recognizeFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"predictAgeAndGender\",\"url\":\"functions/predictAgeAndGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadSsdMobilenetv1Model\",\"url\":\"functions/loadSsdMobilenetv1Model.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadTinyFaceDetectorModel\",\"url\":\"functions/loadTinyFaceDetectorModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadTinyYolov2Model\",\"url\":\"functions/loadTinyYolov2Model.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceLandmarkModel\",\"url\":\"functions/loadFaceLandmarkModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceLandmarkTinyModel\",\"url\":\"functions/loadFaceLandmarkTinyModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceRecognitionModel\",\"url\":\"functions/loadFaceRecognitionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceExpressionModel\",\"url\":\"functions/loadFaceExpressionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadAgeGenderModel\",\"url\":\"functions/loadAgeGenderModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceDetectionModel\",\"url\":\"functions/loadFaceDetectionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"locateFaces\",\"url\":\"functions/locateFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectLandmarks\",\"url\":\"functions/detectLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"FaceDetectionOptions\",\"url\":\"types/FaceDetectionOptions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"FaceDetectionFunction\",\"url\":\"types/FaceDetectionFunction.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FaceDetectionFunction.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"FaceDetectionFunction\"},{\"kind\":64,\"name\":\"sigmoid\",\"url\":\"functions/sigmoid.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"inverseSigmoid\",\"url\":\"functions/inverseSigmoid.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"iou\",\"url\":\"functions/iou.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"minBbox\",\"url\":\"functions/minBbox.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"nonMaxSuppression\",\"url\":\"functions/nonMaxSuppression.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"normalize\",\"url\":\"functions/normalize.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"padToSquare\",\"url\":\"functions/padToSquare.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"shuffleArray\",\"url\":\"functions/shuffleArray.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createSsdMobilenetv1\",\"url\":\"functions/createSsdMobilenetv1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createFaceDetectionNet\",\"url\":\"functions/createFaceDetectionNet.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"FaceDetectionNet\",\"url\":\"classes/FaceDetectionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceDetectionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceDetectionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceDetectionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/FaceDetectionNet.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceDetectionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceDetectionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceDetectionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceDetectionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceDetectionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceDetectionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceDetectionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceDetectionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceDetectionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceDetectionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceDetectionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceDetectionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceDetectionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceDetectionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceDetectionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceDetectionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceDetectionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceDetectionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":128,\"name\":\"SsdMobilenetv1\",\"url\":\"classes/SsdMobilenetv1.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/SsdMobilenetv1.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/SsdMobilenetv1.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/SsdMobilenetv1.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/SsdMobilenetv1.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/SsdMobilenetv1.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/SsdMobilenetv1.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/SsdMobilenetv1.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/SsdMobilenetv1.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/SsdMobilenetv1.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/SsdMobilenetv1.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/SsdMobilenetv1.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/SsdMobilenetv1.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/SsdMobilenetv1.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/SsdMobilenetv1.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/SsdMobilenetv1.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/SsdMobilenetv1.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/SsdMobilenetv1.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/SsdMobilenetv1.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/SsdMobilenetv1.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/SsdMobilenetv1.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/SsdMobilenetv1.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/SsdMobilenetv1.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":256,\"name\":\"ISsdMobilenetv1Options\",\"url\":\"interfaces/ISsdMobilenetv1Options.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"minConfidence\",\"url\":\"interfaces/ISsdMobilenetv1Options.html#minConfidence\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ISsdMobilenetv1Options\"},{\"kind\":1024,\"name\":\"maxResults\",\"url\":\"interfaces/ISsdMobilenetv1Options.html#maxResults\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ISsdMobilenetv1Options\"},{\"kind\":128,\"name\":\"SsdMobilenetv1Options\",\"url\":\"classes/SsdMobilenetv1Options.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/SsdMobilenetv1Options.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":262144,\"name\":\"minConfidence\",\"url\":\"classes/SsdMobilenetv1Options.html#minConfidence\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":262144,\"name\":\"maxResults\",\"url\":\"classes/SsdMobilenetv1Options.html#maxResults\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":64,\"name\":\"createTinyFaceDetector\",\"url\":\"functions/createTinyFaceDetector.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"TinyFaceDetector\",\"url\":\"classes/TinyFaceDetector.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":1024,\"name\":\"DEFAULT_FILTER_SIZES\",\"url\":\"classes/TinyFaceDetector.html#DEFAULT_FILTER_SIZES\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyFaceDetector.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"anchors\",\"url\":\"classes/TinyFaceDetector.html#anchors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/TinyFaceDetector.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"config\",\"url\":\"classes/TinyFaceDetector.html#config\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"withClassScores\",\"url\":\"classes/TinyFaceDetector.html#withClassScores\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"boxEncodingSize\",\"url\":\"classes/TinyFaceDetector.html#boxEncodingSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"runTinyYolov2\",\"url\":\"classes/TinyFaceDetector.html#runTinyYolov2\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"runMobilenet\",\"url\":\"classes/TinyFaceDetector.html#runMobilenet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/TinyFaceDetector.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/TinyFaceDetector.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"detect\",\"url\":\"classes/TinyFaceDetector.html#detect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/TinyFaceDetector.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/TinyFaceDetector.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/TinyFaceDetector.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/TinyFaceDetector.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/TinyFaceDetector.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/TinyFaceDetector.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/TinyFaceDetector.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/TinyFaceDetector.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/TinyFaceDetector.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/TinyFaceDetector.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/TinyFaceDetector.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/TinyFaceDetector.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/TinyFaceDetector.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/TinyFaceDetector.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/TinyFaceDetector.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/TinyFaceDetector.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/TinyFaceDetector.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/TinyFaceDetector.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":4194304,\"name\":\"ITinyFaceDetectorOptions\",\"url\":\"types/ITinyFaceDetectorOptions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":128,\"name\":\"TinyFaceDetectorOptions\",\"url\":\"classes/TinyFaceDetectorOptions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyFaceDetectorOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/TinyFaceDetectorOptions.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":262144,\"name\":\"scoreThreshold\",\"url\":\"classes/TinyFaceDetectorOptions.html#scoreThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":64,\"name\":\"createTinyYolov2\",\"url\":\"functions/createTinyYolov2.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"TinyYolov2\",\"url\":\"classes/TinyYolov2.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":1024,\"name\":\"DEFAULT_FILTER_SIZES\",\"url\":\"classes/TinyYolov2.html#DEFAULT_FILTER_SIZES\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyYolov2.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"withSeparableConvs\",\"url\":\"classes/TinyYolov2.html#withSeparableConvs\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"anchors\",\"url\":\"classes/TinyYolov2.html#anchors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/TinyYolov2.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"config\",\"url\":\"classes/TinyYolov2.html#config\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"withClassScores\",\"url\":\"classes/TinyYolov2.html#withClassScores\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"boxEncodingSize\",\"url\":\"classes/TinyYolov2.html#boxEncodingSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"runTinyYolov2\",\"url\":\"classes/TinyYolov2.html#runTinyYolov2\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"runMobilenet\",\"url\":\"classes/TinyYolov2.html#runMobilenet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/TinyYolov2.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/TinyYolov2.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"detect\",\"url\":\"classes/TinyYolov2.html#detect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/TinyYolov2.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/TinyYolov2.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/TinyYolov2.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/TinyYolov2.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/TinyYolov2.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/TinyYolov2.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/TinyYolov2.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/TinyYolov2.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/TinyYolov2.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/TinyYolov2.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/TinyYolov2.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/TinyYolov2.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/TinyYolov2.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/TinyYolov2.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/TinyYolov2.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/TinyYolov2.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/TinyYolov2.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/TinyYolov2.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":256,\"name\":\"ITinyYolov2Options\",\"url\":\"interfaces/ITinyYolov2Options.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"inputSize\",\"url\":\"interfaces/ITinyYolov2Options.html#inputSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ITinyYolov2Options\"},{\"kind\":1024,\"name\":\"scoreThreshold\",\"url\":\"interfaces/ITinyYolov2Options.html#scoreThreshold\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ITinyYolov2Options\"},{\"kind\":128,\"name\":\"TinyYolov2Options\",\"url\":\"classes/TinyYolov2Options.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyYolov2Options.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/TinyYolov2Options.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":262144,\"name\":\"scoreThreshold\",\"url\":\"classes/TinyYolov2Options.html#scoreThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":64,\"name\":\"validateConfig\",\"url\":\"functions/validateConfig.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"TinyYolov2Config\",\"url\":\"types/TinyYolov2Config.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/TinyYolov2Config.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"TinyYolov2Config\"},{\"kind\":1024,\"name\":\"withSeparableConvs\",\"url\":\"types/TinyYolov2Config.html#__type.withSeparableConvs\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"iouThreshold\",\"url\":\"types/TinyYolov2Config.html#__type.iouThreshold\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"anchors\",\"url\":\"types/TinyYolov2Config.html#__type.anchors\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"classes\",\"url\":\"types/TinyYolov2Config.html#__type.classes\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"meanRgb\",\"url\":\"types/TinyYolov2Config.html#__type.meanRgb\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"withClassScores\",\"url\":\"types/TinyYolov2Config.html#__type.withClassScores\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"filterSizes\",\"url\":\"types/TinyYolov2Config.html#__type.filterSizes\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"isFirstLayerConv2d\",\"url\":\"types/TinyYolov2Config.html#__type.isFirstLayerConv2d\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":4194304,\"name\":\"BatchNorm\",\"url\":\"types/BatchNorm.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/BatchNorm.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"BatchNorm\"},{\"kind\":1024,\"name\":\"sub\",\"url\":\"types/BatchNorm.html#__type.sub\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BatchNorm.__type\"},{\"kind\":1024,\"name\":\"truediv\",\"url\":\"types/BatchNorm.html#__type.truediv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BatchNorm.__type\"},{\"kind\":4194304,\"name\":\"ConvWithBatchNorm\",\"url\":\"types/ConvWithBatchNorm.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/ConvWithBatchNorm.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"ConvWithBatchNorm\"},{\"kind\":1024,\"name\":\"conv\",\"url\":\"types/ConvWithBatchNorm.html#__type.conv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"ConvWithBatchNorm.__type\"},{\"kind\":1024,\"name\":\"bn\",\"url\":\"types/ConvWithBatchNorm.html#__type.bn\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"ConvWithBatchNorm.__type\"},{\"kind\":4194304,\"name\":\"MobilenetParams\",\"url\":\"types/MobilenetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/MobilenetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"MobilenetParams\"},{\"kind\":1024,\"name\":\"conv0\",\"url\":\"types/MobilenetParams.html#__type.conv0\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv1\",\"url\":\"types/MobilenetParams.html#__type.conv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv2\",\"url\":\"types/MobilenetParams.html#__type.conv2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv3\",\"url\":\"types/MobilenetParams.html#__type.conv3\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv4\",\"url\":\"types/MobilenetParams.html#__type.conv4\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv5\",\"url\":\"types/MobilenetParams.html#__type.conv5\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv6\",\"url\":\"types/MobilenetParams.html#__type.conv6\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv7\",\"url\":\"types/MobilenetParams.html#__type.conv7\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv8\",\"url\":\"types/MobilenetParams.html#__type.conv8\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":4194304,\"name\":\"DefaultTinyYolov2NetParams\",\"url\":\"types/DefaultTinyYolov2NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"DefaultTinyYolov2NetParams\"},{\"kind\":1024,\"name\":\"conv0\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv0\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv1\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv2\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv3\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv3\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv4\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv4\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv5\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv5\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv6\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv6\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv7\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv7\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv8\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv8\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":4194304,\"name\":\"TinyYolov2NetParams\",\"url\":\"types/TinyYolov2NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"euclideanDistance\",\"url\":\"functions/euclideanDistance.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"NeuralNetwork\",\"url\":\"classes/NeuralNetwork.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/NeuralNetwork.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/NeuralNetwork.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/NeuralNetwork.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/NeuralNetwork.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/NeuralNetwork.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/NeuralNetwork.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/NeuralNetwork.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/NeuralNetwork.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/NeuralNetwork.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/NeuralNetwork.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/NeuralNetwork.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/NeuralNetwork.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/NeuralNetwork.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/NeuralNetwork.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/NeuralNetwork.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/NeuralNetwork.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/NeuralNetwork.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/NeuralNetwork.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/NeuralNetwork.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":64,\"name\":\"resizeResults\",\"url\":\"functions/resizeResults.html\",\"classes\":\"tsd-kind-function\"}],\"index\":{\"version\":\"2.3.9\",\"fields\":[\"name\",\"comment\"],\"fieldVectors\":[[\"name/0\",[0,64.963]],[\"comment/0\",[]],[\"name/1\",[1,64.963]],[\"comment/1\",[]],[\"name/2\",[2,53.977]],[\"comment/2\",[]],[\"name/3\",[3,64.963]],[\"comment/3\",[]],[\"name/4\",[4,64.963]],[\"comment/4\",[]],[\"name/5\",[5,64.963]],[\"comment/5\",[]],[\"name/6\",[6,64.963]],[\"comment/6\",[]],[\"name/7\",[7,64.963]],[\"comment/7\",[]],[\"name/8\",[8,64.963]],[\"comment/8\",[]],[\"name/9\",[9,59.854]],[\"comment/9\",[]],[\"name/10\",[10,53.977]],[\"comment/10\",[]],[\"name/11\",[11,59.854]],[\"comment/11\",[]],[\"name/12\",[12,48.868]],[\"comment/12\",[]],[\"name/13\",[13,64.963]],[\"comment/13\",[]],[\"name/14\",[14,30.41]],[\"comment/14\",[]],[\"name/15\",[9,59.854]],[\"comment/15\",[]],[\"name/16\",[10,53.977]],[\"comment/16\",[]],[\"name/17\",[11,59.854]],[\"comment/17\",[]],[\"name/18\",[12,48.868]],[\"comment/18\",[]],[\"name/19\",[15,64.963]],[\"comment/19\",[]],[\"name/20\",[14,30.41]],[\"comment/20\",[]],[\"name/21\",[16,51.97]],[\"comment/21\",[]],[\"name/22\",[17,56.49]],[\"comment/22\",[]],[\"name/23\",[2,53.977]],[\"comment/23\",[]],[\"name/24\",[18,59.854]],[\"comment/24\",[]],[\"name/25\",[19,64.963]],[\"comment/25\",[]],[\"name/26\",[20,59.854]],[\"comment/26\",[]],[\"name/27\",[21,59.854]],[\"comment/27\",[]],[\"name/28\",[10,53.977]],[\"comment/28\",[]],[\"name/29\",[22,59.854]],[\"comment/29\",[]],[\"name/30\",[23,59.854]],[\"comment/30\",[]],[\"name/31\",[24,59.854]],[\"comment/31\",[]],[\"name/32\",[25,64.963]],[\"comment/32\",[]],[\"name/33\",[14,30.41]],[\"comment/33\",[]],[\"name/34\",[20,59.854]],[\"comment/34\",[]],[\"name/35\",[21,59.854]],[\"comment/35\",[]],[\"name/36\",[10,53.977]],[\"comment/36\",[]],[\"name/37\",[22,59.854]],[\"comment/37\",[]],[\"name/38\",[23,59.854]],[\"comment/38\",[]],[\"name/39\",[24,59.854]],[\"comment/39\",[]],[\"name/40\",[18,59.854]],[\"comment/40\",[]],[\"name/41\",[14,30.41]],[\"comment/41\",[]],[\"name/42\",[26,59.854]],[\"comment/42\",[]],[\"name/43\",[17,56.49]],[\"comment/43\",[]],[\"name/44\",[2,53.977]],[\"comment/44\",[]],[\"name/45\",[27,64.963]],[\"comment/45\",[]],[\"name/46\",[28,56.49]],[\"comment/46\",[]],[\"name/47\",[29,64.963]],[\"comment/47\",[]],[\"name/48\",[30,64.963]],[\"comment/48\",[]],[\"name/49\",[31,64.963]],[\"comment/49\",[]],[\"name/50\",[32,64.963]],[\"comment/50\",[]],[\"name/51\",[33,64.963]],[\"comment/51\",[]],[\"name/52\",[28,56.49]],[\"comment/52\",[]],[\"name/53\",[34,59.854]],[\"comment/53\",[]],[\"name/54\",[35,59.854]],[\"comment/54\",[]],[\"name/55\",[36,59.854]],[\"comment/55\",[]],[\"name/56\",[37,59.854]],[\"comment/56\",[]],[\"name/57\",[38,59.854]],[\"comment/57\",[]],[\"name/58\",[39,64.963]],[\"comment/58\",[]],[\"name/59\",[14,30.41]],[\"comment/59\",[]],[\"name/60\",[28,56.49]],[\"comment/60\",[]],[\"name/61\",[34,59.854]],[\"comment/61\",[]],[\"name/62\",[35,59.854]],[\"comment/62\",[]],[\"name/63\",[36,59.854]],[\"comment/63\",[]],[\"name/64\",[37,59.854]],[\"comment/64\",[]],[\"name/65\",[38,59.854]],[\"comment/65\",[]],[\"name/66\",[40,64.963]],[\"comment/66\",[]],[\"name/67\",[14,30.41]],[\"comment/67\",[]],[\"name/68\",[41,64.963]],[\"comment/68\",[]],[\"name/69\",[42,64.963]],[\"comment/69\",[]],[\"name/70\",[17,56.49]],[\"comment/70\",[]],[\"name/71\",[43,64.963]],[\"comment/71\",[]],[\"name/72\",[44,64.963]],[\"comment/72\",[]],[\"name/73\",[45,64.963]],[\"comment/73\",[]],[\"name/74\",[2,53.977]],[\"comment/74\",[]],[\"name/75\",[46,64.963]],[\"comment/75\",[]],[\"name/76\",[47,64.963]],[\"comment/76\",[]],[\"name/77\",[48,64.963]],[\"comment/77\",[]],[\"name/78\",[49,64.963]],[\"comment/78\",[]],[\"name/79\",[50,64.963]],[\"comment/79\",[]],[\"name/80\",[51,64.963]],[\"comment/80\",[]],[\"name/81\",[52,64.963]],[\"comment/81\",[]],[\"name/82\",[53,64.963]],[\"comment/82\",[]],[\"name/83\",[54,50.299]],[\"comment/83\",[]],[\"name/84\",[55,64.963]],[\"comment/84\",[]],[\"name/85\",[56,64.963]],[\"comment/85\",[]],[\"name/86\",[57,64.963]],[\"comment/86\",[]],[\"name/87\",[58,64.963]],[\"comment/87\",[]],[\"name/88\",[59,64.963]],[\"comment/88\",[]],[\"name/89\",[60,64.963]],[\"comment/89\",[]],[\"name/90\",[61,59.854]],[\"comment/90\",[]],[\"name/91\",[14,30.41]],[\"comment/91\",[]],[\"name/92\",[62,51.97]],[\"comment/92\",[]],[\"name/93\",[63,51.97]],[\"comment/93\",[]],[\"name/94\",[64,45.504]],[\"comment/94\",[]],[\"name/95\",[65,45.504]],[\"comment/95\",[]],[\"name/96\",[66,59.854]],[\"comment/96\",[]],[\"name/97\",[67,44.594]],[\"comment/97\",[]],[\"name/98\",[68,51.97]],[\"comment/98\",[]],[\"name/99\",[69,51.97]],[\"comment/99\",[]],[\"name/100\",[70,33.608]],[\"comment/100\",[]],[\"name/101\",[71,40.984]],[\"comment/101\",[]],[\"name/102\",[72,40.984]],[\"comment/102\",[]],[\"name/103\",[73,44.594]],[\"comment/103\",[]],[\"name/104\",[71,40.984]],[\"comment/104\",[]],[\"name/105\",[72,40.984]],[\"comment/105\",[]],[\"name/106\",[74,44.594]],[\"comment/106\",[]],[\"name/107\",[75,44.594]],[\"comment/107\",[]],[\"name/108\",[76,44.594]],[\"comment/108\",[]],[\"name/109\",[77,44.594]],[\"comment/109\",[]],[\"name/110\",[78,44.594]],[\"comment/110\",[]],[\"name/111\",[79,44.594]],[\"comment/111\",[]],[\"name/112\",[80,44.594]],[\"comment/112\",[]],[\"name/113\",[81,44.594]],[\"comment/113\",[]],[\"name/114\",[82,44.594]],[\"comment/114\",[]],[\"name/115\",[83,44.594]],[\"comment/115\",[]],[\"name/116\",[84,44.594]],[\"comment/116\",[]],[\"name/117\",[85,44.594]],[\"comment/117\",[]],[\"name/118\",[86,44.594]],[\"comment/118\",[]],[\"name/119\",[87,44.594]],[\"comment/119\",[]],[\"name/120\",[88,53.977]],[\"comment/120\",[]],[\"name/121\",[89,64.963]],[\"comment/121\",[]],[\"name/122\",[90,64.963]],[\"comment/122\",[]],[\"name/123\",[91,64.963]],[\"comment/123\",[]],[\"name/124\",[70,33.608]],[\"comment/124\",[]],[\"name/125\",[92,56.49]],[\"comment/125\",[]],[\"name/126\",[88,53.977]],[\"comment/126\",[]],[\"name/127\",[93,64.963]],[\"comment/127\",[]],[\"name/128\",[94,64.963]],[\"comment/128\",[]],[\"name/129\",[70,33.608]],[\"comment/129\",[]],[\"name/130\",[92,56.49]],[\"comment/130\",[]],[\"name/131\",[88,53.977]],[\"comment/131\",[]],[\"name/132\",[95,64.963]],[\"comment/132\",[]],[\"name/133\",[70,33.608]],[\"comment/133\",[]],[\"name/134\",[96,64.963]],[\"comment/134\",[]],[\"name/135\",[70,33.608]],[\"comment/135\",[]],[\"name/136\",[92,56.49]],[\"comment/136\",[]],[\"name/137\",[88,53.977]],[\"comment/137\",[]],[\"name/138\",[97,64.963]],[\"comment/138\",[]],[\"name/139\",[98,50.299]],[\"comment/139\",[]],[\"name/140\",[99,50.299]],[\"comment/140\",[]],[\"name/141\",[100,50.299]],[\"comment/141\",[]],[\"name/142\",[101,50.299]],[\"comment/142\",[]],[\"name/143\",[102,64.963]],[\"comment/143\",[]],[\"name/144\",[103,51.97]],[\"comment/144\",[]],[\"name/145\",[104,51.97]],[\"comment/145\",[]],[\"name/146\",[14,30.41]],[\"comment/146\",[]],[\"name/147\",[105,42.99]],[\"comment/147\",[]],[\"name/148\",[106,42.99]],[\"comment/148\",[]],[\"name/149\",[107,46.504]],[\"comment/149\",[]],[\"name/150\",[108,46.504]],[\"comment/150\",[]],[\"name/151\",[98,50.299]],[\"comment/151\",[]],[\"name/152\",[99,50.299]],[\"comment/152\",[]],[\"name/153\",[100,50.299]],[\"comment/153\",[]],[\"name/154\",[101,50.299]],[\"comment/154\",[]],[\"name/155\",[109,51.97]],[\"comment/155\",[]],[\"name/156\",[110,51.97]],[\"comment/156\",[]],[\"name/157\",[111,51.97]],[\"comment/157\",[]],[\"name/158\",[112,51.97]],[\"comment/158\",[]],[\"name/159\",[113,51.97]],[\"comment/159\",[]],[\"name/160\",[54,50.299]],[\"comment/160\",[]],[\"name/161\",[114,50.299]],[\"comment/161\",[]],[\"name/162\",[115,51.97]],[\"comment/162\",[]],[\"name/163\",[116,51.97]],[\"comment/163\",[]],[\"name/164\",[117,51.97]],[\"comment/164\",[]],[\"name/165\",[118,51.97]],[\"comment/165\",[]],[\"name/166\",[119,46.504]],[\"comment/166\",[]],[\"name/167\",[120,51.97]],[\"comment/167\",[]],[\"name/168\",[70,33.608]],[\"comment/168\",[]],[\"name/169\",[121,51.97]],[\"comment/169\",[]],[\"name/170\",[122,51.97]],[\"comment/170\",[]],[\"name/171\",[123,51.97]],[\"comment/171\",[]],[\"name/172\",[124,51.97]],[\"comment/172\",[]],[\"name/173\",[106,42.99]],[\"comment/173\",[]],[\"name/174\",[125,51.97]],[\"comment/174\",[]],[\"name/175\",[105,42.99]],[\"comment/175\",[]],[\"name/176\",[126,51.97]],[\"comment/176\",[]],[\"name/177\",[127,51.97]],[\"comment/177\",[]],[\"name/178\",[128,51.97]],[\"comment/178\",[]],[\"name/179\",[129,51.97]],[\"comment/179\",[]],[\"name/180\",[16,51.97]],[\"comment/180\",[]],[\"name/181\",[103,51.97]],[\"comment/181\",[]],[\"name/182\",[104,51.97]],[\"comment/182\",[]],[\"name/183\",[14,30.41]],[\"comment/183\",[]],[\"name/184\",[105,42.99]],[\"comment/184\",[]],[\"name/185\",[106,42.99]],[\"comment/185\",[]],[\"name/186\",[107,46.504]],[\"comment/186\",[]],[\"name/187\",[108,46.504]],[\"comment/187\",[]],[\"name/188\",[98,50.299]],[\"comment/188\",[]],[\"name/189\",[99,50.299]],[\"comment/189\",[]],[\"name/190\",[100,50.299]],[\"comment/190\",[]],[\"name/191\",[101,50.299]],[\"comment/191\",[]],[\"name/192\",[109,51.97]],[\"comment/192\",[]],[\"name/193\",[110,51.97]],[\"comment/193\",[]],[\"name/194\",[111,51.97]],[\"comment/194\",[]],[\"name/195\",[112,51.97]],[\"comment/195\",[]],[\"name/196\",[113,51.97]],[\"comment/196\",[]],[\"name/197\",[54,50.299]],[\"comment/197\",[]],[\"name/198\",[114,50.299]],[\"comment/198\",[]],[\"name/199\",[115,51.97]],[\"comment/199\",[]],[\"name/200\",[116,51.97]],[\"comment/200\",[]],[\"name/201\",[117,51.97]],[\"comment/201\",[]],[\"name/202\",[118,51.97]],[\"comment/202\",[]],[\"name/203\",[119,46.504]],[\"comment/203\",[]],[\"name/204\",[120,51.97]],[\"comment/204\",[]],[\"name/205\",[70,33.608]],[\"comment/205\",[]],[\"name/206\",[121,51.97]],[\"comment/206\",[]],[\"name/207\",[122,51.97]],[\"comment/207\",[]],[\"name/208\",[123,51.97]],[\"comment/208\",[]],[\"name/209\",[124,51.97]],[\"comment/209\",[]],[\"name/210\",[106,42.99]],[\"comment/210\",[]],[\"name/211\",[125,51.97]],[\"comment/211\",[]],[\"name/212\",[105,42.99]],[\"comment/212\",[]],[\"name/213\",[126,51.97]],[\"comment/213\",[]],[\"name/214\",[127,51.97]],[\"comment/214\",[]],[\"name/215\",[128,51.97]],[\"comment/215\",[]],[\"name/216\",[129,51.97]],[\"comment/216\",[]],[\"name/217\",[130,64.963]],[\"comment/217\",[]],[\"name/218\",[107,46.504]],[\"comment/218\",[]],[\"name/219\",[108,46.504]],[\"comment/219\",[]],[\"name/220\",[131,64.963]],[\"comment/220\",[]],[\"name/221\",[14,30.41]],[\"comment/221\",[]],[\"name/222\",[107,46.504]],[\"comment/222\",[]],[\"name/223\",[108,46.504]],[\"comment/223\",[]],[\"name/224\",[132,64.963]],[\"comment/224\",[]],[\"name/225\",[133,64.963]],[\"comment/225\",[]],[\"name/226\",[134,53.977]],[\"comment/226\",[]],[\"name/227\",[16,51.97]],[\"comment/227\",[]],[\"name/228\",[135,64.963]],[\"comment/228\",[]],[\"name/229\",[14,30.41]],[\"comment/229\",[]],[\"name/230\",[136,51.97]],[\"comment/230\",[]],[\"name/231\",[134,53.977]],[\"comment/231\",[]],[\"name/232\",[137,56.49]],[\"comment/232\",[]],[\"name/233\",[138,59.854]],[\"comment/233\",[]],[\"name/234\",[16,51.97]],[\"comment/234\",[]],[\"name/235\",[139,59.854]],[\"comment/235\",[]],[\"name/236\",[140,51.97]],[\"comment/236\",[]],[\"name/237\",[141,51.97]],[\"comment/237\",[]],[\"name/238\",[142,59.854]],[\"comment/238\",[]],[\"name/239\",[143,64.963]],[\"comment/239\",[]],[\"name/240\",[144,53.977]],[\"comment/240\",[]],[\"name/241\",[119,46.504]],[\"comment/241\",[]],[\"name/242\",[26,59.854]],[\"comment/242\",[]],[\"name/243\",[14,30.41]],[\"comment/243\",[]],[\"name/244\",[119,46.504]],[\"comment/244\",[]],[\"name/245\",[140,51.97]],[\"comment/245\",[]],[\"name/246\",[141,51.97]],[\"comment/246\",[]],[\"name/247\",[144,53.977]],[\"comment/247\",[]],[\"name/248\",[145,56.49]],[\"comment/248\",[]],[\"name/249\",[136,51.97]],[\"comment/249\",[]],[\"name/250\",[146,56.49]],[\"comment/250\",[]],[\"name/251\",[147,56.49]],[\"comment/251\",[]],[\"name/252\",[148,56.49]],[\"comment/252\",[]],[\"name/253\",[149,64.963]],[\"comment/253\",[]],[\"name/254\",[14,30.41]],[\"comment/254\",[]],[\"name/255\",[119,46.504]],[\"comment/255\",[]],[\"name/256\",[140,51.97]],[\"comment/256\",[]],[\"name/257\",[141,51.97]],[\"comment/257\",[]],[\"name/258\",[144,53.977]],[\"comment/258\",[]],[\"name/259\",[145,56.49]],[\"comment/259\",[]],[\"name/260\",[136,51.97]],[\"comment/260\",[]],[\"name/261\",[146,56.49]],[\"comment/261\",[]],[\"name/262\",[147,56.49]],[\"comment/262\",[]],[\"name/263\",[148,56.49]],[\"comment/263\",[]],[\"name/264\",[150,64.963]],[\"comment/264\",[]],[\"name/265\",[14,30.41]],[\"comment/265\",[]],[\"name/266\",[151,64.963]],[\"comment/266\",[]],[\"name/267\",[152,64.963]],[\"comment/267\",[]],[\"name/268\",[153,64.963]],[\"comment/268\",[]],[\"name/269\",[154,64.963]],[\"comment/269\",[]],[\"name/270\",[155,64.963]],[\"comment/270\",[]],[\"name/271\",[156,64.963]],[\"comment/271\",[]],[\"name/272\",[157,64.963]],[\"comment/272\",[]],[\"name/273\",[119,46.504]],[\"comment/273\",[]],[\"name/274\",[140,51.97]],[\"comment/274\",[]],[\"name/275\",[141,51.97]],[\"comment/275\",[]],[\"name/276\",[144,53.977]],[\"comment/276\",[]],[\"name/277\",[145,56.49]],[\"comment/277\",[]],[\"name/278\",[136,51.97]],[\"comment/278\",[]],[\"name/279\",[146,56.49]],[\"comment/279\",[]],[\"name/280\",[147,56.49]],[\"comment/280\",[]],[\"name/281\",[148,56.49]],[\"comment/281\",[]],[\"name/282\",[158,64.963]],[\"comment/282\",[]],[\"name/283\",[12,48.868]],[\"comment/283\",[]],[\"name/284\",[159,59.854]],[\"comment/284\",[]],[\"name/285\",[160,64.963]],[\"comment/285\",[]],[\"name/286\",[14,30.41]],[\"comment/286\",[]],[\"name/287\",[12,48.868]],[\"comment/287\",[]],[\"name/288\",[159,59.854]],[\"comment/288\",[]],[\"name/289\",[161,64.963]],[\"comment/289\",[]],[\"name/290\",[162,64.963]],[\"comment/290\",[]],[\"name/291\",[163,59.854]],[\"comment/291\",[]],[\"name/292\",[103,51.97]],[\"comment/292\",[]],[\"name/293\",[104,51.97]],[\"comment/293\",[]],[\"name/294\",[14,30.41]],[\"comment/294\",[]],[\"name/295\",[12,48.868]],[\"comment/295\",[]],[\"name/296\",[105,42.99]],[\"comment/296\",[]],[\"name/297\",[106,42.99]],[\"comment/297\",[]],[\"name/298\",[107,46.504]],[\"comment/298\",[]],[\"name/299\",[108,46.504]],[\"comment/299\",[]],[\"name/300\",[98,50.299]],[\"comment/300\",[]],[\"name/301\",[99,50.299]],[\"comment/301\",[]],[\"name/302\",[100,50.299]],[\"comment/302\",[]],[\"name/303\",[101,50.299]],[\"comment/303\",[]],[\"name/304\",[109,51.97]],[\"comment/304\",[]],[\"name/305\",[110,51.97]],[\"comment/305\",[]],[\"name/306\",[111,51.97]],[\"comment/306\",[]],[\"name/307\",[112,51.97]],[\"comment/307\",[]],[\"name/308\",[113,51.97]],[\"comment/308\",[]],[\"name/309\",[54,50.299]],[\"comment/309\",[]],[\"name/310\",[114,50.299]],[\"comment/310\",[]],[\"name/311\",[115,51.97]],[\"comment/311\",[]],[\"name/312\",[116,51.97]],[\"comment/312\",[]],[\"name/313\",[117,51.97]],[\"comment/313\",[]],[\"name/314\",[118,51.97]],[\"comment/314\",[]],[\"name/315\",[119,46.504]],[\"comment/315\",[]],[\"name/316\",[120,51.97]],[\"comment/316\",[]],[\"name/317\",[70,33.608]],[\"comment/317\",[]],[\"name/318\",[121,51.97]],[\"comment/318\",[]],[\"name/319\",[122,51.97]],[\"comment/319\",[]],[\"name/320\",[123,51.97]],[\"comment/320\",[]],[\"name/321\",[124,51.97]],[\"comment/321\",[]],[\"name/322\",[106,42.99]],[\"comment/322\",[]],[\"name/323\",[125,51.97]],[\"comment/323\",[]],[\"name/324\",[105,42.99]],[\"comment/324\",[]],[\"name/325\",[126,51.97]],[\"comment/325\",[]],[\"name/326\",[127,51.97]],[\"comment/326\",[]],[\"name/327\",[128,51.97]],[\"comment/327\",[]],[\"name/328\",[129,51.97]],[\"comment/328\",[]],[\"name/329\",[164,64.963]],[\"comment/329\",[]],[\"name/330\",[165,59.854]],[\"comment/330\",[]],[\"name/331\",[14,30.41]],[\"comment/331\",[]],[\"name/332\",[12,48.868]],[\"comment/332\",[]],[\"name/333\",[166,64.963]],[\"comment/333\",[]],[\"name/334\",[167,59.854]],[\"comment/334\",[]],[\"name/335\",[168,64.963]],[\"comment/335\",[]],[\"name/336\",[14,30.41]],[\"comment/336\",[]],[\"name/337\",[134,53.977]],[\"comment/337\",[]],[\"name/338\",[137,56.49]],[\"comment/338\",[]],[\"name/339\",[138,59.854]],[\"comment/339\",[]],[\"name/340\",[16,51.97]],[\"comment/340\",[]],[\"name/341\",[139,59.854]],[\"comment/341\",[]],[\"name/342\",[140,51.97]],[\"comment/342\",[]],[\"name/343\",[141,51.97]],[\"comment/343\",[]],[\"name/344\",[142,59.854]],[\"comment/344\",[]],[\"name/345\",[136,51.97]],[\"comment/345\",[]],[\"name/346\",[169,64.963]],[\"comment/346\",[]],[\"name/347\",[105,42.99]],[\"comment/347\",[]],[\"name/348\",[106,42.99]],[\"comment/348\",[]],[\"name/349\",[170,64.963]],[\"comment/349\",[]],[\"name/350\",[14,30.41]],[\"comment/350\",[]],[\"name/351\",[105,42.99]],[\"comment/351\",[]],[\"name/352\",[106,42.99]],[\"comment/352\",[]],[\"name/353\",[171,64.963]],[\"comment/353\",[]],[\"name/354\",[172,59.854]],[\"comment/354\",[]],[\"name/355\",[173,64.963]],[\"comment/355\",[]],[\"name/356\",[174,64.963]],[\"comment/356\",[]],[\"name/357\",[175,64.963]],[\"comment/357\",[]],[\"name/358\",[176,64.963]],[\"comment/358\",[]],[\"name/359\",[114,50.299]],[\"comment/359\",[]],[\"name/360\",[177,64.963]],[\"comment/360\",[]],[\"name/361\",[178,64.963]],[\"comment/361\",[]],[\"name/362\",[163,59.854]],[\"comment/362\",[]],[\"name/363\",[103,51.97]],[\"comment/363\",[]],[\"name/364\",[104,51.97]],[\"comment/364\",[]],[\"name/365\",[14,30.41]],[\"comment/365\",[]],[\"name/366\",[134,53.977]],[\"comment/366\",[]],[\"name/367\",[137,56.49]],[\"comment/367\",[]],[\"name/368\",[12,48.868]],[\"comment/368\",[]],[\"name/369\",[105,42.99]],[\"comment/369\",[]],[\"name/370\",[106,42.99]],[\"comment/370\",[]],[\"name/371\",[107,46.504]],[\"comment/371\",[]],[\"name/372\",[108,46.504]],[\"comment/372\",[]],[\"name/373\",[98,50.299]],[\"comment/373\",[]],[\"name/374\",[99,50.299]],[\"comment/374\",[]],[\"name/375\",[100,50.299]],[\"comment/375\",[]],[\"name/376\",[101,50.299]],[\"comment/376\",[]],[\"name/377\",[109,51.97]],[\"comment/377\",[]],[\"name/378\",[110,51.97]],[\"comment/378\",[]],[\"name/379\",[111,51.97]],[\"comment/379\",[]],[\"name/380\",[112,51.97]],[\"comment/380\",[]],[\"name/381\",[113,51.97]],[\"comment/381\",[]],[\"name/382\",[54,50.299]],[\"comment/382\",[]],[\"name/383\",[114,50.299]],[\"comment/383\",[]],[\"name/384\",[115,51.97]],[\"comment/384\",[]],[\"name/385\",[116,51.97]],[\"comment/385\",[]],[\"name/386\",[117,51.97]],[\"comment/386\",[]],[\"name/387\",[118,51.97]],[\"comment/387\",[]],[\"name/388\",[119,46.504]],[\"comment/388\",[]],[\"name/389\",[120,51.97]],[\"comment/389\",[]],[\"name/390\",[70,33.608]],[\"comment/390\",[]],[\"name/391\",[121,51.97]],[\"comment/391\",[]],[\"name/392\",[122,51.97]],[\"comment/392\",[]],[\"name/393\",[123,51.97]],[\"comment/393\",[]],[\"name/394\",[124,51.97]],[\"comment/394\",[]],[\"name/395\",[106,42.99]],[\"comment/395\",[]],[\"name/396\",[125,51.97]],[\"comment/396\",[]],[\"name/397\",[105,42.99]],[\"comment/397\",[]],[\"name/398\",[126,51.97]],[\"comment/398\",[]],[\"name/399\",[127,51.97]],[\"comment/399\",[]],[\"name/400\",[128,51.97]],[\"comment/400\",[]],[\"name/401\",[129,51.97]],[\"comment/401\",[]],[\"name/402\",[179,64.963]],[\"comment/402\",[]],[\"name/403\",[105,42.99]],[\"comment/403\",[]],[\"name/404\",[106,42.99]],[\"comment/404\",[]],[\"name/405\",[107,46.504]],[\"comment/405\",[]],[\"name/406\",[108,46.504]],[\"comment/406\",[]],[\"name/407\",[180,64.963]],[\"comment/407\",[]],[\"name/408\",[103,51.97]],[\"comment/408\",[]],[\"name/409\",[104,51.97]],[\"comment/409\",[]],[\"name/410\",[14,30.41]],[\"comment/410\",[]],[\"name/411\",[105,42.99]],[\"comment/411\",[]],[\"name/412\",[106,42.99]],[\"comment/412\",[]],[\"name/413\",[107,46.504]],[\"comment/413\",[]],[\"name/414\",[108,46.504]],[\"comment/414\",[]],[\"name/415\",[98,50.299]],[\"comment/415\",[]],[\"name/416\",[99,50.299]],[\"comment/416\",[]],[\"name/417\",[100,50.299]],[\"comment/417\",[]],[\"name/418\",[101,50.299]],[\"comment/418\",[]],[\"name/419\",[109,51.97]],[\"comment/419\",[]],[\"name/420\",[110,51.97]],[\"comment/420\",[]],[\"name/421\",[111,51.97]],[\"comment/421\",[]],[\"name/422\",[112,51.97]],[\"comment/422\",[]],[\"name/423\",[113,51.97]],[\"comment/423\",[]],[\"name/424\",[54,50.299]],[\"comment/424\",[]],[\"name/425\",[114,50.299]],[\"comment/425\",[]],[\"name/426\",[115,51.97]],[\"comment/426\",[]],[\"name/427\",[116,51.97]],[\"comment/427\",[]],[\"name/428\",[117,51.97]],[\"comment/428\",[]],[\"name/429\",[118,51.97]],[\"comment/429\",[]],[\"name/430\",[119,46.504]],[\"comment/430\",[]],[\"name/431\",[120,51.97]],[\"comment/431\",[]],[\"name/432\",[70,33.608]],[\"comment/432\",[]],[\"name/433\",[121,51.97]],[\"comment/433\",[]],[\"name/434\",[122,51.97]],[\"comment/434\",[]],[\"name/435\",[123,51.97]],[\"comment/435\",[]],[\"name/436\",[124,51.97]],[\"comment/436\",[]],[\"name/437\",[106,42.99]],[\"comment/437\",[]],[\"name/438\",[125,51.97]],[\"comment/438\",[]],[\"name/439\",[105,42.99]],[\"comment/439\",[]],[\"name/440\",[126,51.97]],[\"comment/440\",[]],[\"name/441\",[127,51.97]],[\"comment/441\",[]],[\"name/442\",[128,51.97]],[\"comment/442\",[]],[\"name/443\",[129,51.97]],[\"comment/443\",[]],[\"name/444\",[181,64.963]],[\"comment/444\",[]],[\"name/445\",[182,64.963]],[\"comment/445\",[]],[\"name/446\",[183,64.963]],[\"comment/446\",[]],[\"name/447\",[184,64.963]],[\"comment/447\",[]],[\"name/448\",[185,64.963]],[\"comment/448\",[]],[\"name/449\",[186,64.963]],[\"comment/449\",[]],[\"name/450\",[187,64.963]],[\"comment/450\",[]],[\"name/451\",[188,64.963]],[\"comment/451\",[]],[\"name/452\",[189,64.963]],[\"comment/452\",[]],[\"name/453\",[190,64.963]],[\"comment/453\",[]],[\"name/454\",[191,64.963]],[\"comment/454\",[]],[\"name/455\",[192,64.963]],[\"comment/455\",[]],[\"name/456\",[193,64.963]],[\"comment/456\",[]],[\"name/457\",[194,64.963]],[\"comment/457\",[]],[\"name/458\",[195,64.963]],[\"comment/458\",[]],[\"name/459\",[196,64.963]],[\"comment/459\",[]],[\"name/460\",[197,64.963]],[\"comment/460\",[]],[\"name/461\",[198,64.963]],[\"comment/461\",[]],[\"name/462\",[199,64.963]],[\"comment/462\",[]],[\"name/463\",[70,33.608]],[\"comment/463\",[]],[\"name/464\",[107,46.504]],[\"comment/464\",[]],[\"name/465\",[108,46.504]],[\"comment/465\",[]],[\"name/466\",[200,64.963]],[\"comment/466\",[]],[\"name/467\",[14,30.41]],[\"comment/467\",[]],[\"name/468\",[201,64.963]],[\"comment/468\",[]],[\"name/469\",[202,64.963]],[\"comment/469\",[]],[\"name/470\",[203,64.963]],[\"comment/470\",[]],[\"name/471\",[204,64.963]],[\"comment/471\",[]],[\"name/472\",[205,64.963]],[\"comment/472\",[]],[\"name/473\",[206,53.977]],[\"comment/473\",[]],[\"name/474\",[207,64.963]],[\"comment/474\",[]],[\"name/475\",[208,64.963]],[\"comment/475\",[]],[\"name/476\",[209,64.963]],[\"comment/476\",[]],[\"name/477\",[210,64.963]],[\"comment/477\",[]],[\"name/478\",[211,64.963]],[\"comment/478\",[]],[\"name/479\",[212,64.963]],[\"comment/479\",[]],[\"name/480\",[213,64.963]],[\"comment/480\",[]],[\"name/481\",[214,64.963]],[\"comment/481\",[]],[\"name/482\",[215,64.963]],[\"comment/482\",[]],[\"name/483\",[216,64.963]],[\"comment/483\",[]],[\"name/484\",[217,64.963]],[\"comment/484\",[]],[\"name/485\",[218,64.963]],[\"comment/485\",[]],[\"name/486\",[219,64.963]],[\"comment/486\",[]],[\"name/487\",[220,64.963]],[\"comment/487\",[]],[\"name/488\",[70,33.608]],[\"comment/488\",[]],[\"name/489\",[221,64.963]],[\"comment/489\",[]],[\"name/490\",[70,33.608]],[\"comment/490\",[]],[\"name/491\",[222,64.963]],[\"comment/491\",[]],[\"name/492\",[70,33.608]],[\"comment/492\",[]],[\"name/493\",[223,64.963]],[\"comment/493\",[]],[\"name/494\",[70,33.608]],[\"comment/494\",[]],[\"name/495\",[224,64.963]],[\"comment/495\",[]],[\"name/496\",[70,33.608]],[\"comment/496\",[]],[\"name/497\",[225,64.963]],[\"comment/497\",[]],[\"name/498\",[70,33.608]],[\"comment/498\",[]],[\"name/499\",[226,64.963]],[\"comment/499\",[]],[\"name/500\",[70,33.608]],[\"comment/500\",[]],[\"name/501\",[227,64.963]],[\"comment/501\",[]],[\"name/502\",[70,33.608]],[\"comment/502\",[]],[\"name/503\",[228,64.963]],[\"comment/503\",[]],[\"name/504\",[70,33.608]],[\"comment/504\",[]],[\"name/505\",[229,64.963]],[\"comment/505\",[]],[\"name/506\",[70,33.608]],[\"comment/506\",[]],[\"name/507\",[230,64.963]],[\"comment/507\",[]],[\"name/508\",[70,33.608]],[\"comment/508\",[]],[\"name/509\",[231,64.963]],[\"comment/509\",[]],[\"name/510\",[70,33.608]],[\"comment/510\",[]],[\"name/511\",[232,64.963]],[\"comment/511\",[]],[\"name/512\",[233,59.854]],[\"comment/512\",[]],[\"name/513\",[14,30.41]],[\"comment/513\",[]],[\"name/514\",[64,45.504]],[\"comment/514\",[]],[\"name/515\",[65,45.504]],[\"comment/515\",[]],[\"name/516\",[234,64.963]],[\"comment/516\",[]],[\"name/517\",[62,51.97]],[\"comment/517\",[]],[\"name/518\",[63,51.97]],[\"comment/518\",[]],[\"name/519\",[67,44.594]],[\"comment/519\",[]],[\"name/520\",[68,51.97]],[\"comment/520\",[]],[\"name/521\",[69,51.97]],[\"comment/521\",[]],[\"name/522\",[70,33.608]],[\"comment/522\",[]],[\"name/523\",[71,40.984]],[\"comment/523\",[]],[\"name/524\",[72,40.984]],[\"comment/524\",[]],[\"name/525\",[73,44.594]],[\"comment/525\",[]],[\"name/526\",[71,40.984]],[\"comment/526\",[]],[\"name/527\",[72,40.984]],[\"comment/527\",[]],[\"name/528\",[74,44.594]],[\"comment/528\",[]],[\"name/529\",[75,44.594]],[\"comment/529\",[]],[\"name/530\",[76,44.594]],[\"comment/530\",[]],[\"name/531\",[77,44.594]],[\"comment/531\",[]],[\"name/532\",[78,44.594]],[\"comment/532\",[]],[\"name/533\",[79,44.594]],[\"comment/533\",[]],[\"name/534\",[80,44.594]],[\"comment/534\",[]],[\"name/535\",[81,44.594]],[\"comment/535\",[]],[\"name/536\",[82,44.594]],[\"comment/536\",[]],[\"name/537\",[83,44.594]],[\"comment/537\",[]],[\"name/538\",[84,44.594]],[\"comment/538\",[]],[\"name/539\",[85,44.594]],[\"comment/539\",[]],[\"name/540\",[86,44.594]],[\"comment/540\",[]],[\"name/541\",[87,44.594]],[\"comment/541\",[]],[\"name/542\",[235,64.963]],[\"comment/542\",[]],[\"name/543\",[236,64.963]],[\"comment/543\",[]],[\"name/544\",[14,30.41]],[\"comment/544\",[]],[\"name/545\",[237,64.963]],[\"comment/545\",[]],[\"name/546\",[238,64.963]],[\"comment/546\",[]],[\"name/547\",[239,64.963]],[\"comment/547\",[]],[\"name/548\",[240,64.963]],[\"comment/548\",[]],[\"name/549\",[241,64.963]],[\"comment/549\",[]],[\"name/550\",[242,64.963]],[\"comment/550\",[]],[\"name/551\",[243,64.963]],[\"comment/551\",[]],[\"name/552\",[244,64.963]],[\"comment/552\",[]],[\"name/553\",[245,64.963]],[\"comment/553\",[]],[\"name/554\",[14,30.41]],[\"comment/554\",[]],[\"name/555\",[246,56.49]],[\"comment/555\",[]],[\"name/556\",[64,45.504]],[\"comment/556\",[]],[\"name/557\",[65,45.504]],[\"comment/557\",[]],[\"name/558\",[247,53.977]],[\"comment/558\",[]],[\"name/559\",[62,51.97]],[\"comment/559\",[]],[\"name/560\",[63,51.97]],[\"comment/560\",[]],[\"name/561\",[67,44.594]],[\"comment/561\",[]],[\"name/562\",[68,51.97]],[\"comment/562\",[]],[\"name/563\",[69,51.97]],[\"comment/563\",[]],[\"name/564\",[70,33.608]],[\"comment/564\",[]],[\"name/565\",[71,40.984]],[\"comment/565\",[]],[\"name/566\",[72,40.984]],[\"comment/566\",[]],[\"name/567\",[73,44.594]],[\"comment/567\",[]],[\"name/568\",[71,40.984]],[\"comment/568\",[]],[\"name/569\",[72,40.984]],[\"comment/569\",[]],[\"name/570\",[74,44.594]],[\"comment/570\",[]],[\"name/571\",[75,44.594]],[\"comment/571\",[]],[\"name/572\",[76,44.594]],[\"comment/572\",[]],[\"name/573\",[77,44.594]],[\"comment/573\",[]],[\"name/574\",[78,44.594]],[\"comment/574\",[]],[\"name/575\",[79,44.594]],[\"comment/575\",[]],[\"name/576\",[80,44.594]],[\"comment/576\",[]],[\"name/577\",[81,44.594]],[\"comment/577\",[]],[\"name/578\",[82,44.594]],[\"comment/578\",[]],[\"name/579\",[83,44.594]],[\"comment/579\",[]],[\"name/580\",[84,44.594]],[\"comment/580\",[]],[\"name/581\",[85,44.594]],[\"comment/581\",[]],[\"name/582\",[86,44.594]],[\"comment/582\",[]],[\"name/583\",[87,44.594]],[\"comment/583\",[]],[\"name/584\",[248,59.854]],[\"comment/584\",[]],[\"name/585\",[14,30.41]],[\"comment/585\",[]],[\"name/586\",[246,56.49]],[\"comment/586\",[]],[\"name/587\",[64,45.504]],[\"comment/587\",[]],[\"name/588\",[65,45.504]],[\"comment/588\",[]],[\"name/589\",[247,53.977]],[\"comment/589\",[]],[\"name/590\",[62,51.97]],[\"comment/590\",[]],[\"name/591\",[63,51.97]],[\"comment/591\",[]],[\"name/592\",[67,44.594]],[\"comment/592\",[]],[\"name/593\",[68,51.97]],[\"comment/593\",[]],[\"name/594\",[69,51.97]],[\"comment/594\",[]],[\"name/595\",[70,33.608]],[\"comment/595\",[]],[\"name/596\",[71,40.984]],[\"comment/596\",[]],[\"name/597\",[72,40.984]],[\"comment/597\",[]],[\"name/598\",[73,44.594]],[\"comment/598\",[]],[\"name/599\",[71,40.984]],[\"comment/599\",[]],[\"name/600\",[72,40.984]],[\"comment/600\",[]],[\"name/601\",[74,44.594]],[\"comment/601\",[]],[\"name/602\",[75,44.594]],[\"comment/602\",[]],[\"name/603\",[76,44.594]],[\"comment/603\",[]],[\"name/604\",[77,44.594]],[\"comment/604\",[]],[\"name/605\",[78,44.594]],[\"comment/605\",[]],[\"name/606\",[79,44.594]],[\"comment/606\",[]],[\"name/607\",[80,44.594]],[\"comment/607\",[]],[\"name/608\",[81,44.594]],[\"comment/608\",[]],[\"name/609\",[82,44.594]],[\"comment/609\",[]],[\"name/610\",[83,44.594]],[\"comment/610\",[]],[\"name/611\",[84,44.594]],[\"comment/611\",[]],[\"name/612\",[85,44.594]],[\"comment/612\",[]],[\"name/613\",[86,44.594]],[\"comment/613\",[]],[\"name/614\",[87,44.594]],[\"comment/614\",[]],[\"name/615\",[249,59.854]],[\"comment/615\",[]],[\"name/616\",[14,30.41]],[\"comment/616\",[]],[\"name/617\",[246,56.49]],[\"comment/617\",[]],[\"name/618\",[64,45.504]],[\"comment/618\",[]],[\"name/619\",[65,45.504]],[\"comment/619\",[]],[\"name/620\",[247,53.977]],[\"comment/620\",[]],[\"name/621\",[62,51.97]],[\"comment/621\",[]],[\"name/622\",[63,51.97]],[\"comment/622\",[]],[\"name/623\",[67,44.594]],[\"comment/623\",[]],[\"name/624\",[68,51.97]],[\"comment/624\",[]],[\"name/625\",[69,51.97]],[\"comment/625\",[]],[\"name/626\",[70,33.608]],[\"comment/626\",[]],[\"name/627\",[71,40.984]],[\"comment/627\",[]],[\"name/628\",[72,40.984]],[\"comment/628\",[]],[\"name/629\",[73,44.594]],[\"comment/629\",[]],[\"name/630\",[71,40.984]],[\"comment/630\",[]],[\"name/631\",[72,40.984]],[\"comment/631\",[]],[\"name/632\",[74,44.594]],[\"comment/632\",[]],[\"name/633\",[75,44.594]],[\"comment/633\",[]],[\"name/634\",[76,44.594]],[\"comment/634\",[]],[\"name/635\",[77,44.594]],[\"comment/635\",[]],[\"name/636\",[78,44.594]],[\"comment/636\",[]],[\"name/637\",[79,44.594]],[\"comment/637\",[]],[\"name/638\",[80,44.594]],[\"comment/638\",[]],[\"name/639\",[81,44.594]],[\"comment/639\",[]],[\"name/640\",[82,44.594]],[\"comment/640\",[]],[\"name/641\",[83,44.594]],[\"comment/641\",[]],[\"name/642\",[84,44.594]],[\"comment/642\",[]],[\"name/643\",[85,44.594]],[\"comment/643\",[]],[\"name/644\",[86,44.594]],[\"comment/644\",[]],[\"name/645\",[87,44.594]],[\"comment/645\",[]],[\"name/646\",[250,64.963]],[\"comment/646\",[]],[\"name/647\",[251,59.854]],[\"comment/647\",[]],[\"name/648\",[14,30.41]],[\"comment/648\",[]],[\"name/649\",[64,45.504]],[\"comment/649\",[]],[\"name/650\",[65,45.504]],[\"comment/650\",[]],[\"name/651\",[252,59.854]],[\"comment/651\",[]],[\"name/652\",[73,44.594]],[\"comment/652\",[]],[\"name/653\",[71,40.984]],[\"comment/653\",[]],[\"name/654\",[72,40.984]],[\"comment/654\",[]],[\"name/655\",[74,44.594]],[\"comment/655\",[]],[\"name/656\",[75,44.594]],[\"comment/656\",[]],[\"name/657\",[76,44.594]],[\"comment/657\",[]],[\"name/658\",[77,44.594]],[\"comment/658\",[]],[\"name/659\",[78,44.594]],[\"comment/659\",[]],[\"name/660\",[79,44.594]],[\"comment/660\",[]],[\"name/661\",[80,44.594]],[\"comment/661\",[]],[\"name/662\",[81,44.594]],[\"comment/662\",[]],[\"name/663\",[67,44.594]],[\"comment/663\",[]],[\"name/664\",[82,44.594]],[\"comment/664\",[]],[\"name/665\",[83,44.594]],[\"comment/665\",[]],[\"name/666\",[84,44.594]],[\"comment/666\",[]],[\"name/667\",[85,44.594]],[\"comment/667\",[]],[\"name/668\",[86,44.594]],[\"comment/668\",[]],[\"name/669\",[87,44.594]],[\"comment/669\",[]],[\"name/670\",[253,64.963]],[\"comment/670\",[]],[\"name/671\",[254,59.854]],[\"comment/671\",[]],[\"name/672\",[255,64.963]],[\"comment/672\",[]],[\"name/673\",[256,64.963]],[\"comment/673\",[]],[\"name/674\",[257,64.963]],[\"comment/674\",[]],[\"name/675\",[258,64.963]],[\"comment/675\",[]],[\"name/676\",[259,64.963]],[\"comment/676\",[]],[\"name/677\",[260,48.868]],[\"comment/677\",[]],[\"name/678\",[261,64.963]],[\"comment/678\",[]],[\"name/679\",[262,64.963]],[\"comment/679\",[]],[\"name/680\",[263,56.49]],[\"comment/680\",[]],[\"name/681\",[264,64.963]],[\"comment/681\",[]],[\"name/682\",[265,64.963]],[\"comment/682\",[]],[\"name/683\",[266,64.963]],[\"comment/683\",[]],[\"name/684\",[267,64.963]],[\"comment/684\",[]],[\"name/685\",[268,64.963]],[\"comment/685\",[]],[\"name/686\",[269,64.963]],[\"comment/686\",[]],[\"name/687\",[270,64.963]],[\"comment/687\",[]],[\"name/688\",[271,64.963]],[\"comment/688\",[]],[\"name/689\",[272,64.963]],[\"comment/689\",[]],[\"name/690\",[273,64.963]],[\"comment/690\",[]],[\"name/691\",[14,30.41]],[\"comment/691\",[]],[\"name/692\",[274,45.504]],[\"comment/692\",[]],[\"name/693\",[275,45.504]],[\"comment/693\",[]],[\"name/694\",[276,64.963]],[\"comment/694\",[]],[\"name/695\",[14,30.41]],[\"comment/695\",[]],[\"name/696\",[274,45.504]],[\"comment/696\",[]],[\"name/697\",[275,45.504]],[\"comment/697\",[]],[\"name/698\",[277,64.963]],[\"comment/698\",[]],[\"name/699\",[14,30.41]],[\"comment/699\",[]],[\"name/700\",[275,45.504]],[\"comment/700\",[]],[\"name/701\",[260,48.868]],[\"comment/701\",[]],[\"name/702\",[278,50.299]],[\"comment/702\",[]],[\"name/703\",[274,45.504]],[\"comment/703\",[]],[\"name/704\",[279,64.963]],[\"comment/704\",[]],[\"name/705\",[14,30.41]],[\"comment/705\",[]],[\"name/706\",[275,45.504]],[\"comment/706\",[]],[\"name/707\",[260,48.868]],[\"comment/707\",[]],[\"name/708\",[278,50.299]],[\"comment/708\",[]],[\"name/709\",[274,45.504]],[\"comment/709\",[]],[\"name/710\",[280,64.963]],[\"comment/710\",[]],[\"name/711\",[281,64.963]],[\"comment/711\",[]],[\"name/712\",[282,64.963]],[\"comment/712\",[]],[\"name/713\",[14,30.41]],[\"comment/713\",[]],[\"name/714\",[274,45.504]],[\"comment/714\",[]],[\"name/715\",[275,45.504]],[\"comment/715\",[]],[\"name/716\",[283,64.963]],[\"comment/716\",[]],[\"name/717\",[14,30.41]],[\"comment/717\",[]],[\"name/718\",[275,45.504]],[\"comment/718\",[]],[\"name/719\",[263,56.49]],[\"comment/719\",[]],[\"name/720\",[260,48.868]],[\"comment/720\",[]],[\"name/721\",[278,50.299]],[\"comment/721\",[]],[\"name/722\",[274,45.504]],[\"comment/722\",[]],[\"name/723\",[284,64.963]],[\"comment/723\",[]],[\"name/724\",[14,30.41]],[\"comment/724\",[]],[\"name/725\",[275,45.504]],[\"comment/725\",[]],[\"name/726\",[263,56.49]],[\"comment/726\",[]],[\"name/727\",[260,48.868]],[\"comment/727\",[]],[\"name/728\",[278,50.299]],[\"comment/728\",[]],[\"name/729\",[274,45.504]],[\"comment/729\",[]],[\"name/730\",[285,64.963]],[\"comment/730\",[]],[\"name/731\",[14,30.41]],[\"comment/731\",[]],[\"name/732\",[274,45.504]],[\"comment/732\",[]],[\"name/733\",[275,45.504]],[\"comment/733\",[]],[\"name/734\",[286,64.963]],[\"comment/734\",[]],[\"name/735\",[14,30.41]],[\"comment/735\",[]],[\"name/736\",[275,45.504]],[\"comment/736\",[]],[\"name/737\",[260,48.868]],[\"comment/737\",[]],[\"name/738\",[278,50.299]],[\"comment/738\",[]],[\"name/739\",[287,64.963]],[\"comment/739\",[]],[\"name/740\",[274,45.504]],[\"comment/740\",[]],[\"name/741\",[288,64.963]],[\"comment/741\",[]],[\"name/742\",[14,30.41]],[\"comment/742\",[]],[\"name/743\",[275,45.504]],[\"comment/743\",[]],[\"name/744\",[260,48.868]],[\"comment/744\",[]],[\"name/745\",[278,50.299]],[\"comment/745\",[]],[\"name/746\",[254,59.854]],[\"comment/746\",[]],[\"name/747\",[274,45.504]],[\"comment/747\",[]],[\"name/748\",[289,64.963]],[\"comment/748\",[]],[\"name/749\",[165,59.854]],[\"comment/749\",[]],[\"name/750\",[14,30.41]],[\"comment/750\",[]],[\"name/751\",[290,64.963]],[\"comment/751\",[]],[\"name/752\",[291,64.963]],[\"comment/752\",[]],[\"name/753\",[292,64.963]],[\"comment/753\",[]],[\"name/754\",[293,64.963]],[\"comment/754\",[]],[\"name/755\",[294,64.963]],[\"comment/755\",[]],[\"name/756\",[167,59.854]],[\"comment/756\",[]],[\"name/757\",[295,64.963]],[\"comment/757\",[]],[\"name/758\",[70,33.608]],[\"comment/758\",[]],[\"name/759\",[296,56.49]],[\"comment/759\",[]],[\"name/760\",[297,56.49]],[\"comment/760\",[]],[\"name/761\",[298,56.49]],[\"comment/761\",[]],[\"name/762\",[248,59.854]],[\"comment/762\",[]],[\"name/763\",[249,59.854]],[\"comment/763\",[]],[\"name/764\",[251,59.854]],[\"comment/764\",[]],[\"name/765\",[233,59.854]],[\"comment/765\",[]],[\"name/766\",[61,59.854]],[\"comment/766\",[]],[\"name/767\",[296,56.49]],[\"comment/767\",[]],[\"name/768\",[297,56.49]],[\"comment/768\",[]],[\"name/769\",[298,56.49]],[\"comment/769\",[]],[\"name/770\",[299,64.963]],[\"comment/770\",[]],[\"name/771\",[300,64.963]],[\"comment/771\",[]],[\"name/772\",[252,59.854]],[\"comment/772\",[]],[\"name/773\",[301,64.963]],[\"comment/773\",[]],[\"name/774\",[66,59.854]],[\"comment/774\",[]],[\"name/775\",[302,64.963]],[\"comment/775\",[]],[\"name/776\",[303,64.963]],[\"comment/776\",[]],[\"name/777\",[304,64.963]],[\"comment/777\",[]],[\"name/778\",[305,64.963]],[\"comment/778\",[]],[\"name/779\",[306,64.963]],[\"comment/779\",[]],[\"name/780\",[307,64.963]],[\"comment/780\",[]],[\"name/781\",[308,64.963]],[\"comment/781\",[]],[\"name/782\",[309,64.963]],[\"comment/782\",[]],[\"name/783\",[310,64.963]],[\"comment/783\",[]],[\"name/784\",[311,51.97]],[\"comment/784\",[]],[\"name/785\",[247,53.977]],[\"comment/785\",[]],[\"name/786\",[312,64.963]],[\"comment/786\",[]],[\"name/787\",[313,64.963]],[\"comment/787\",[]],[\"name/788\",[70,33.608]],[\"comment/788\",[]],[\"name/789\",[314,64.963]],[\"comment/789\",[]],[\"name/790\",[315,64.963]],[\"comment/790\",[]],[\"name/791\",[316,64.963]],[\"comment/791\",[]],[\"name/792\",[317,64.963]],[\"comment/792\",[]],[\"name/793\",[318,64.963]],[\"comment/793\",[]],[\"name/794\",[319,64.963]],[\"comment/794\",[]],[\"name/795\",[320,64.963]],[\"comment/795\",[]],[\"name/796\",[321,64.963]],[\"comment/796\",[]],[\"name/797\",[322,64.963]],[\"comment/797\",[]],[\"name/798\",[323,64.963]],[\"comment/798\",[]],[\"name/799\",[324,64.963]],[\"comment/799\",[]],[\"name/800\",[14,30.41]],[\"comment/800\",[]],[\"name/801\",[64,45.504]],[\"comment/801\",[]],[\"name/802\",[65,45.504]],[\"comment/802\",[]],[\"name/803\",[311,51.97]],[\"comment/803\",[]],[\"name/804\",[73,44.594]],[\"comment/804\",[]],[\"name/805\",[71,40.984]],[\"comment/805\",[]],[\"name/806\",[72,40.984]],[\"comment/806\",[]],[\"name/807\",[74,44.594]],[\"comment/807\",[]],[\"name/808\",[75,44.594]],[\"comment/808\",[]],[\"name/809\",[76,44.594]],[\"comment/809\",[]],[\"name/810\",[77,44.594]],[\"comment/810\",[]],[\"name/811\",[78,44.594]],[\"comment/811\",[]],[\"name/812\",[79,44.594]],[\"comment/812\",[]],[\"name/813\",[80,44.594]],[\"comment/813\",[]],[\"name/814\",[81,44.594]],[\"comment/814\",[]],[\"name/815\",[67,44.594]],[\"comment/815\",[]],[\"name/816\",[82,44.594]],[\"comment/816\",[]],[\"name/817\",[83,44.594]],[\"comment/817\",[]],[\"name/818\",[84,44.594]],[\"comment/818\",[]],[\"name/819\",[85,44.594]],[\"comment/819\",[]],[\"name/820\",[86,44.594]],[\"comment/820\",[]],[\"name/821\",[87,44.594]],[\"comment/821\",[]],[\"name/822\",[296,56.49]],[\"comment/822\",[]],[\"name/823\",[14,30.41]],[\"comment/823\",[]],[\"name/824\",[64,45.504]],[\"comment/824\",[]],[\"name/825\",[65,45.504]],[\"comment/825\",[]],[\"name/826\",[311,51.97]],[\"comment/826\",[]],[\"name/827\",[73,44.594]],[\"comment/827\",[]],[\"name/828\",[71,40.984]],[\"comment/828\",[]],[\"name/829\",[72,40.984]],[\"comment/829\",[]],[\"name/830\",[74,44.594]],[\"comment/830\",[]],[\"name/831\",[75,44.594]],[\"comment/831\",[]],[\"name/832\",[76,44.594]],[\"comment/832\",[]],[\"name/833\",[77,44.594]],[\"comment/833\",[]],[\"name/834\",[78,44.594]],[\"comment/834\",[]],[\"name/835\",[79,44.594]],[\"comment/835\",[]],[\"name/836\",[80,44.594]],[\"comment/836\",[]],[\"name/837\",[81,44.594]],[\"comment/837\",[]],[\"name/838\",[67,44.594]],[\"comment/838\",[]],[\"name/839\",[82,44.594]],[\"comment/839\",[]],[\"name/840\",[83,44.594]],[\"comment/840\",[]],[\"name/841\",[84,44.594]],[\"comment/841\",[]],[\"name/842\",[85,44.594]],[\"comment/842\",[]],[\"name/843\",[86,44.594]],[\"comment/843\",[]],[\"name/844\",[87,44.594]],[\"comment/844\",[]],[\"name/845\",[325,64.963]],[\"comment/845\",[]],[\"name/846\",[326,59.854]],[\"comment/846\",[]],[\"name/847\",[327,59.854]],[\"comment/847\",[]],[\"name/848\",[328,64.963]],[\"comment/848\",[]],[\"name/849\",[14,30.41]],[\"comment/849\",[]],[\"name/850\",[326,59.854]],[\"comment/850\",[]],[\"name/851\",[327,59.854]],[\"comment/851\",[]],[\"name/852\",[329,64.963]],[\"comment/852\",[]],[\"name/853\",[297,56.49]],[\"comment/853\",[]],[\"name/854\",[330,59.854]],[\"comment/854\",[]],[\"name/855\",[14,30.41]],[\"comment/855\",[]],[\"name/856\",[331,56.49]],[\"comment/856\",[]],[\"name/857\",[311,51.97]],[\"comment/857\",[]],[\"name/858\",[332,59.854]],[\"comment/858\",[]],[\"name/859\",[333,56.49]],[\"comment/859\",[]],[\"name/860\",[334,59.854]],[\"comment/860\",[]],[\"name/861\",[335,59.854]],[\"comment/861\",[]],[\"name/862\",[336,59.854]],[\"comment/862\",[]],[\"name/863\",[64,45.504]],[\"comment/863\",[]],[\"name/864\",[65,45.504]],[\"comment/864\",[]],[\"name/865\",[337,59.854]],[\"comment/865\",[]],[\"name/866\",[73,44.594]],[\"comment/866\",[]],[\"name/867\",[71,40.984]],[\"comment/867\",[]],[\"name/868\",[72,40.984]],[\"comment/868\",[]],[\"name/869\",[74,44.594]],[\"comment/869\",[]],[\"name/870\",[75,44.594]],[\"comment/870\",[]],[\"name/871\",[76,44.594]],[\"comment/871\",[]],[\"name/872\",[77,44.594]],[\"comment/872\",[]],[\"name/873\",[78,44.594]],[\"comment/873\",[]],[\"name/874\",[79,44.594]],[\"comment/874\",[]],[\"name/875\",[80,44.594]],[\"comment/875\",[]],[\"name/876\",[81,44.594]],[\"comment/876\",[]],[\"name/877\",[67,44.594]],[\"comment/877\",[]],[\"name/878\",[82,44.594]],[\"comment/878\",[]],[\"name/879\",[83,44.594]],[\"comment/879\",[]],[\"name/880\",[84,44.594]],[\"comment/880\",[]],[\"name/881\",[85,44.594]],[\"comment/881\",[]],[\"name/882\",[86,44.594]],[\"comment/882\",[]],[\"name/883\",[87,44.594]],[\"comment/883\",[]],[\"name/884\",[338,64.963]],[\"comment/884\",[]],[\"name/885\",[339,64.963]],[\"comment/885\",[]],[\"name/886\",[14,30.41]],[\"comment/886\",[]],[\"name/887\",[206,53.977]],[\"comment/887\",[]],[\"name/888\",[340,56.49]],[\"comment/888\",[]],[\"name/889\",[341,64.963]],[\"comment/889\",[]],[\"name/890\",[298,56.49]],[\"comment/890\",[]],[\"name/891\",[330,59.854]],[\"comment/891\",[]],[\"name/892\",[14,30.41]],[\"comment/892\",[]],[\"name/893\",[342,59.854]],[\"comment/893\",[]],[\"name/894\",[331,56.49]],[\"comment/894\",[]],[\"name/895\",[311,51.97]],[\"comment/895\",[]],[\"name/896\",[332,59.854]],[\"comment/896\",[]],[\"name/897\",[333,56.49]],[\"comment/897\",[]],[\"name/898\",[334,59.854]],[\"comment/898\",[]],[\"name/899\",[335,59.854]],[\"comment/899\",[]],[\"name/900\",[336,59.854]],[\"comment/900\",[]],[\"name/901\",[64,45.504]],[\"comment/901\",[]],[\"name/902\",[65,45.504]],[\"comment/902\",[]],[\"name/903\",[337,59.854]],[\"comment/903\",[]],[\"name/904\",[73,44.594]],[\"comment/904\",[]],[\"name/905\",[71,40.984]],[\"comment/905\",[]],[\"name/906\",[72,40.984]],[\"comment/906\",[]],[\"name/907\",[74,44.594]],[\"comment/907\",[]],[\"name/908\",[75,44.594]],[\"comment/908\",[]],[\"name/909\",[76,44.594]],[\"comment/909\",[]],[\"name/910\",[77,44.594]],[\"comment/910\",[]],[\"name/911\",[78,44.594]],[\"comment/911\",[]],[\"name/912\",[79,44.594]],[\"comment/912\",[]],[\"name/913\",[80,44.594]],[\"comment/913\",[]],[\"name/914\",[81,44.594]],[\"comment/914\",[]],[\"name/915\",[67,44.594]],[\"comment/915\",[]],[\"name/916\",[82,44.594]],[\"comment/916\",[]],[\"name/917\",[83,44.594]],[\"comment/917\",[]],[\"name/918\",[84,44.594]],[\"comment/918\",[]],[\"name/919\",[85,44.594]],[\"comment/919\",[]],[\"name/920\",[86,44.594]],[\"comment/920\",[]],[\"name/921\",[87,44.594]],[\"comment/921\",[]],[\"name/922\",[343,64.963]],[\"comment/922\",[]],[\"name/923\",[206,53.977]],[\"comment/923\",[]],[\"name/924\",[340,56.49]],[\"comment/924\",[]],[\"name/925\",[344,64.963]],[\"comment/925\",[]],[\"name/926\",[14,30.41]],[\"comment/926\",[]],[\"name/927\",[206,53.977]],[\"comment/927\",[]],[\"name/928\",[340,56.49]],[\"comment/928\",[]],[\"name/929\",[345,64.963]],[\"comment/929\",[]],[\"name/930\",[346,64.963]],[\"comment/930\",[]],[\"name/931\",[70,33.608]],[\"comment/931\",[]],[\"name/932\",[342,59.854]],[\"comment/932\",[]],[\"name/933\",[347,64.963]],[\"comment/933\",[]],[\"name/934\",[331,56.49]],[\"comment/934\",[]],[\"name/935\",[348,64.963]],[\"comment/935\",[]],[\"name/936\",[349,64.963]],[\"comment/936\",[]],[\"name/937\",[333,56.49]],[\"comment/937\",[]],[\"name/938\",[350,64.963]],[\"comment/938\",[]],[\"name/939\",[351,64.963]],[\"comment/939\",[]],[\"name/940\",[352,64.963]],[\"comment/940\",[]],[\"name/941\",[70,33.608]],[\"comment/941\",[]],[\"name/942\",[172,59.854]],[\"comment/942\",[]],[\"name/943\",[353,64.963]],[\"comment/943\",[]],[\"name/944\",[354,64.963]],[\"comment/944\",[]],[\"name/945\",[70,33.608]],[\"comment/945\",[]],[\"name/946\",[355,64.963]],[\"comment/946\",[]],[\"name/947\",[356,64.963]],[\"comment/947\",[]],[\"name/948\",[357,64.963]],[\"comment/948\",[]],[\"name/949\",[70,33.608]],[\"comment/949\",[]],[\"name/950\",[358,59.854]],[\"comment/950\",[]],[\"name/951\",[359,59.854]],[\"comment/951\",[]],[\"name/952\",[360,59.854]],[\"comment/952\",[]],[\"name/953\",[361,59.854]],[\"comment/953\",[]],[\"name/954\",[362,59.854]],[\"comment/954\",[]],[\"name/955\",[363,59.854]],[\"comment/955\",[]],[\"name/956\",[364,59.854]],[\"comment/956\",[]],[\"name/957\",[365,59.854]],[\"comment/957\",[]],[\"name/958\",[366,59.854]],[\"comment/958\",[]],[\"name/959\",[367,64.963]],[\"comment/959\",[]],[\"name/960\",[70,33.608]],[\"comment/960\",[]],[\"name/961\",[358,59.854]],[\"comment/961\",[]],[\"name/962\",[359,59.854]],[\"comment/962\",[]],[\"name/963\",[360,59.854]],[\"comment/963\",[]],[\"name/964\",[361,59.854]],[\"comment/964\",[]],[\"name/965\",[362,59.854]],[\"comment/965\",[]],[\"name/966\",[363,59.854]],[\"comment/966\",[]],[\"name/967\",[364,59.854]],[\"comment/967\",[]],[\"name/968\",[365,59.854]],[\"comment/968\",[]],[\"name/969\",[366,59.854]],[\"comment/969\",[]],[\"name/970\",[368,64.963]],[\"comment/970\",[]],[\"name/971\",[369,64.963]],[\"comment/971\",[]],[\"name/972\",[370,64.963]],[\"comment/972\",[]],[\"name/973\",[14,30.41]],[\"comment/973\",[]],[\"name/974\",[73,44.594]],[\"comment/974\",[]],[\"name/975\",[71,40.984]],[\"comment/975\",[]],[\"name/976\",[72,40.984]],[\"comment/976\",[]],[\"name/977\",[74,44.594]],[\"comment/977\",[]],[\"name/978\",[75,44.594]],[\"comment/978\",[]],[\"name/979\",[76,44.594]],[\"comment/979\",[]],[\"name/980\",[77,44.594]],[\"comment/980\",[]],[\"name/981\",[78,44.594]],[\"comment/981\",[]],[\"name/982\",[79,44.594]],[\"comment/982\",[]],[\"name/983\",[80,44.594]],[\"comment/983\",[]],[\"name/984\",[81,44.594]],[\"comment/984\",[]],[\"name/985\",[67,44.594]],[\"comment/985\",[]],[\"name/986\",[82,44.594]],[\"comment/986\",[]],[\"name/987\",[83,44.594]],[\"comment/987\",[]],[\"name/988\",[84,44.594]],[\"comment/988\",[]],[\"name/989\",[85,44.594]],[\"comment/989\",[]],[\"name/990\",[86,44.594]],[\"comment/990\",[]],[\"name/991\",[87,44.594]],[\"comment/991\",[]],[\"name/992\",[371,64.963]],[\"comment/992\",[]]],\"invertedIndex\":[[\"__type\",{\"_index\":70,\"name\":{\"100\":{},\"124\":{},\"129\":{},\"133\":{},\"135\":{},\"168\":{},\"205\":{},\"317\":{},\"390\":{},\"432\":{},\"463\":{},\"488\":{},\"490\":{},\"492\":{},\"494\":{},\"496\":{},\"498\":{},\"500\":{},\"502\":{},\"504\":{},\"506\":{},\"508\":{},\"510\":{},\"522\":{},\"564\":{},\"595\":{},\"626\":{},\"758\":{},\"788\":{},\"931\":{},\"941\":{},\"945\":{},\"949\":{},\"960\":{}},\"comment\":{}}],[\"_name\",{\"_index\":73,\"name\":{\"103\":{},\"525\":{},\"567\":{},\"598\":{},\"629\":{},\"652\":{},\"804\":{},\"827\":{},\"866\":{},\"904\":{},\"974\":{}},\"comment\":{}}],[\"abs\",{\"_index\":175,\"name\":{\"357\":{}},\"comment\":{}}],[\"add\",{\"_index\":171,\"name\":{\"353\":{}},\"comment\":{}}],[\"age\",{\"_index\":92,\"name\":{\"125\":{},\"130\":{},\"136\":{}},\"comment\":{}}],[\"ageandgenderprediction\",{\"_index\":91,\"name\":{\"123\":{}},\"comment\":{}}],[\"agegendernet\",{\"_index\":61,\"name\":{\"90\":{},\"766\":{}},\"comment\":{}}],[\"align\",{\"_index\":148,\"name\":{\"252\":{},\"263\":{},\"281\":{}},\"comment\":{}}],[\"allfaces\",{\"_index\":272,\"name\":{\"689\":{}},\"comment\":{}}],[\"allfacesssdmobilenetv1\",{\"_index\":270,\"name\":{\"687\":{}},\"comment\":{}}],[\"allfacestinyyolov2\",{\"_index\":271,\"name\":{\"688\":{}},\"comment\":{}}],[\"anchor\",{\"_index\":42,\"name\":{\"69\":{}},\"comment\":{}}],[\"anchorposition\",{\"_index\":28,\"name\":{\"46\":{},\"52\":{},\"60\":{}},\"comment\":{}}],[\"anchors\",{\"_index\":331,\"name\":{\"856\":{},\"894\":{},\"934\":{}},\"comment\":{}}],[\"angry\",{\"_index\":240,\"name\":{\"548\":{}},\"comment\":{}}],[\"area\",{\"_index\":109,\"name\":{\"155\":{},\"192\":{},\"304\":{},\"377\":{},\"419\":{}},\"comment\":{}}],[\"assertisvalidbox\",{\"_index\":104,\"name\":{\"145\":{},\"182\":{},\"293\":{},\"364\":{},\"409\":{}},\"comment\":{}}],[\"assertisvalidlabeledbox\",{\"_index\":163,\"name\":{\"291\":{},\"362\":{}},\"comment\":{}}],[\"assertisvalidpredictedbox\",{\"_index\":178,\"name\":{\"361\":{}},\"comment\":{}}],[\"assortedarray\",{\"_index\":244,\"name\":{\"552\":{}},\"comment\":{}}],[\"awaitmedialoaded\",{\"_index\":181,\"name\":{\"444\":{}},\"comment\":{}}],[\"backgroundcolor\",{\"_index\":34,\"name\":{\"53\":{},\"61\":{}},\"comment\":{}}],[\"batchnorm\",{\"_index\":352,\"name\":{\"940\":{}},\"comment\":{}}],[\"batchsize\",{\"_index\":204,\"name\":{\"471\":{}},\"comment\":{}}],[\"bn\",{\"_index\":356,\"name\":{\"947\":{}},\"comment\":{}}],[\"bottom\",{\"_index\":101,\"name\":{\"142\":{},\"154\":{},\"191\":{},\"303\":{},\"376\":{},\"418\":{}},\"comment\":{}}],[\"bottom_left\",{\"_index\":31,\"name\":{\"49\":{}},\"comment\":{}}],[\"bottom_right\",{\"_index\":32,\"name\":{\"50\":{}},\"comment\":{}}],[\"bottomleft\",{\"_index\":112,\"name\":{\"158\":{},\"195\":{},\"307\":{},\"380\":{},\"422\":{}},\"comment\":{}}],[\"bottomright\",{\"_index\":113,\"name\":{\"159\":{},\"196\":{},\"308\":{},\"381\":{},\"423\":{}},\"comment\":{}}],[\"boundingbox\",{\"_index\":102,\"name\":{\"143\":{}},\"comment\":{}}],[\"box\",{\"_index\":16,\"name\":{\"21\":{},\"180\":{},\"227\":{},\"234\":{},\"340\":{}},\"comment\":{}}],[\"boxcolor\",{\"_index\":9,\"name\":{\"9\":{},\"15\":{}},\"comment\":{}}],[\"boxencodingsize\",{\"_index\":334,\"name\":{\"860\":{},\"898\":{}},\"comment\":{}}],[\"buffertoimage\",{\"_index\":182,\"name\":{\"445\":{}},\"comment\":{}}],[\"calibrate\",{\"_index\":129,\"name\":{\"179\":{},\"216\":{},\"328\":{},\"401\":{},\"443\":{}},\"comment\":{}}],[\"canvases\",{\"_index\":202,\"name\":{\"469\":{}},\"comment\":{}}],[\"classes\",{\"_index\":348,\"name\":{\"935\":{}},\"comment\":{}}],[\"classname\",{\"_index\":138,\"name\":{\"233\":{},\"339\":{}},\"comment\":{}}],[\"classscore\",{\"_index\":137,\"name\":{\"232\":{},\"338\":{},\"367\":{}},\"comment\":{}}],[\"clipatimageborders\",{\"_index\":118,\"name\":{\"165\":{},\"202\":{},\"314\":{},\"387\":{},\"429\":{}},\"comment\":{}}],[\"composabletask\",{\"_index\":273,\"name\":{\"690\":{}},\"comment\":{}}],[\"computeallfacedescriptorstask\",{\"_index\":277,\"name\":{\"698\":{}},\"comment\":{}}],[\"computefacedescriptor\",{\"_index\":252,\"name\":{\"651\":{},\"772\":{}},\"comment\":{}}],[\"computefacedescriptorstaskbase\",{\"_index\":276,\"name\":{\"694\":{}},\"comment\":{}}],[\"computemeandistance\",{\"_index\":292,\"name\":{\"753\":{}},\"comment\":{}}],[\"computereshapeddimensions\",{\"_index\":56,\"name\":{\"85\":{}},\"comment\":{}}],[\"computesinglefacedescriptortask\",{\"_index\":279,\"name\":{\"704\":{}},\"comment\":{}}],[\"config\",{\"_index\":332,\"name\":{\"858\":{},\"896\":{}},\"comment\":{}}],[\"constructor\",{\"_index\":14,\"name\":{\"14\":{},\"20\":{},\"33\":{},\"41\":{},\"59\":{},\"67\":{},\"91\":{},\"146\":{},\"183\":{},\"221\":{},\"229\":{},\"243\":{},\"254\":{},\"265\":{},\"286\":{},\"294\":{},\"331\":{},\"336\":{},\"350\":{},\"365\":{},\"410\":{},\"467\":{},\"513\":{},\"544\":{},\"554\":{},\"585\":{},\"616\":{},\"648\":{},\"691\":{},\"695\":{},\"699\":{},\"705\":{},\"713\":{},\"717\":{},\"724\":{},\"731\":{},\"735\":{},\"742\":{},\"750\":{},\"800\":{},\"823\":{},\"849\":{},\"855\":{},\"886\":{},\"892\":{},\"926\":{},\"973\":{}},\"comment\":{}}],[\"conv\",{\"_index\":355,\"name\":{\"946\":{}},\"comment\":{}}],[\"conv0\",{\"_index\":358,\"name\":{\"950\":{},\"961\":{}},\"comment\":{}}],[\"conv1\",{\"_index\":359,\"name\":{\"951\":{},\"962\":{}},\"comment\":{}}],[\"conv2\",{\"_index\":360,\"name\":{\"952\":{},\"963\":{}},\"comment\":{}}],[\"conv3\",{\"_index\":361,\"name\":{\"953\":{},\"964\":{}},\"comment\":{}}],[\"conv4\",{\"_index\":362,\"name\":{\"954\":{},\"965\":{}},\"comment\":{}}],[\"conv5\",{\"_index\":363,\"name\":{\"955\":{},\"966\":{}},\"comment\":{}}],[\"conv6\",{\"_index\":364,\"name\":{\"956\":{},\"967\":{}},\"comment\":{}}],[\"conv7\",{\"_index\":365,\"name\":{\"957\":{},\"968\":{}},\"comment\":{}}],[\"conv8\",{\"_index\":366,\"name\":{\"958\":{},\"969\":{}},\"comment\":{}}],[\"convwithbatchnorm\",{\"_index\":354,\"name\":{\"944\":{}},\"comment\":{}}],[\"createbrowserenv\",{\"_index\":224,\"name\":{\"495\":{}},\"comment\":{}}],[\"createcanvas\",{\"_index\":183,\"name\":{\"446\":{}},\"comment\":{}}],[\"createcanvasfrommedia\",{\"_index\":184,\"name\":{\"447\":{}},\"comment\":{}}],[\"createfacedetectionnet\",{\"_index\":323,\"name\":{\"798\":{}},\"comment\":{}}],[\"createfacerecognitionnet\",{\"_index\":250,\"name\":{\"646\":{}},\"comment\":{}}],[\"createfilesystem\",{\"_index\":225,\"name\":{\"497\":{}},\"comment\":{}}],[\"createnodejsenv\",{\"_index\":226,\"name\":{\"499\":{}},\"comment\":{}}],[\"createssdmobilenetv1\",{\"_index\":322,\"name\":{\"797\":{}},\"comment\":{}}],[\"createtinyfacedetector\",{\"_index\":329,\"name\":{\"852\":{}},\"comment\":{}}],[\"createtinyyolov2\",{\"_index\":341,\"name\":{\"889\":{}},\"comment\":{}}],[\"default_filter_sizes\",{\"_index\":330,\"name\":{\"854\":{},\"891\":{}},\"comment\":{}}],[\"defaulttinyyolov2netparams\",{\"_index\":367,\"name\":{\"959\":{}},\"comment\":{}}],[\"descriptors\",{\"_index\":166,\"name\":{\"333\":{}},\"comment\":{}}],[\"detect\",{\"_index\":337,\"name\":{\"865\":{},\"903\":{}},\"comment\":{}}],[\"detectallfacelandmarkstask\",{\"_index\":286,\"name\":{\"734\":{}},\"comment\":{}}],[\"detectallfaces\",{\"_index\":281,\"name\":{\"711\":{}},\"comment\":{}}],[\"detectallfacestask\",{\"_index\":283,\"name\":{\"716\":{}},\"comment\":{}}],[\"detectfacelandmarks\",{\"_index\":299,\"name\":{\"770\":{}},\"comment\":{}}],[\"detectfacelandmarkstaskbase\",{\"_index\":285,\"name\":{\"730\":{}},\"comment\":{}}],[\"detectfacelandmarkstiny\",{\"_index\":300,\"name\":{\"771\":{}},\"comment\":{}}],[\"detectfacestaskbase\",{\"_index\":282,\"name\":{\"712\":{}},\"comment\":{}}],[\"detectlandmarks\",{\"_index\":247,\"name\":{\"558\":{},\"589\":{},\"620\":{},\"785\":{}},\"comment\":{}}],[\"detectsingleface\",{\"_index\":280,\"name\":{\"710\":{}},\"comment\":{}}],[\"detectsinglefacelandmarkstask\",{\"_index\":288,\"name\":{\"741\":{}},\"comment\":{}}],[\"detectsinglefacetask\",{\"_index\":284,\"name\":{\"723\":{}},\"comment\":{}}],[\"dimensions\",{\"_index\":131,\"name\":{\"220\":{}},\"comment\":{}}],[\"disgusted\",{\"_index\":242,\"name\":{\"550\":{}},\"comment\":{}}],[\"dispose\",{\"_index\":67,\"name\":{\"97\":{},\"519\":{},\"561\":{},\"592\":{},\"623\":{},\"663\":{},\"815\":{},\"838\":{},\"877\":{},\"915\":{},\"985\":{}},\"comment\":{}}],[\"distance\",{\"_index\":159,\"name\":{\"284\":{},\"288\":{}},\"comment\":{}}],[\"distancethreshold\",{\"_index\":291,\"name\":{\"752\":{}},\"comment\":{}}],[\"div\",{\"_index\":174,\"name\":{\"356\":{}},\"comment\":{}}],[\"draw\",{\"_index\":2,\"name\":{\"2\":{},\"23\":{},\"44\":{},\"74\":{}},\"comment\":{}}],[\"drawbox\",{\"_index\":15,\"name\":{\"19\":{}},\"comment\":{}}],[\"drawboxoptions\",{\"_index\":13,\"name\":{\"13\":{}},\"comment\":{}}],[\"drawcontour\",{\"_index\":3,\"name\":{\"3\":{}},\"comment\":{}}],[\"drawdetections\",{\"_index\":4,\"name\":{\"4\":{}},\"comment\":{}}],[\"drawfaceexpressions\",{\"_index\":6,\"name\":{\"6\":{}},\"comment\":{}}],[\"drawfaceexpressionsinput\",{\"_index\":7,\"name\":{\"7\":{}},\"comment\":{}}],[\"drawfacelandmarks\",{\"_index\":18,\"name\":{\"24\":{},\"40\":{}},\"comment\":{}}],[\"drawfacelandmarksinput\",{\"_index\":27,\"name\":{\"45\":{}},\"comment\":{}}],[\"drawfacelandmarksoptions\",{\"_index\":25,\"name\":{\"32\":{}},\"comment\":{}}],[\"drawlabeloptions\",{\"_index\":11,\"name\":{\"11\":{},\"17\":{}},\"comment\":{}}],[\"drawlines\",{\"_index\":20,\"name\":{\"26\":{},\"34\":{}},\"comment\":{}}],[\"drawpoints\",{\"_index\":21,\"name\":{\"27\":{},\"35\":{}},\"comment\":{}}],[\"drawtextfield\",{\"_index\":40,\"name\":{\"66\":{}},\"comment\":{}}],[\"drawtextfieldoptions\",{\"_index\":39,\"name\":{\"58\":{}},\"comment\":{}}],[\"dx\",{\"_index\":123,\"name\":{\"171\":{},\"208\":{},\"320\":{},\"393\":{},\"435\":{}},\"comment\":{}}],[\"dy\",{\"_index\":121,\"name\":{\"169\":{},\"206\":{},\"318\":{},\"391\":{},\"433\":{}},\"comment\":{}}],[\"edx\",{\"_index\":124,\"name\":{\"172\":{},\"209\":{},\"321\":{},\"394\":{},\"436\":{}},\"comment\":{}}],[\"edy\",{\"_index\":122,\"name\":{\"170\":{},\"207\":{},\"319\":{},\"392\":{},\"434\":{}},\"comment\":{}}],[\"env\",{\"_index\":220,\"name\":{\"487\":{}},\"comment\":{}}],[\"environment\",{\"_index\":232,\"name\":{\"511\":{}},\"comment\":{}}],[\"euclideandistance\",{\"_index\":369,\"name\":{\"971\":{}},\"comment\":{}}],[\"ex\",{\"_index\":126,\"name\":{\"176\":{},\"213\":{},\"325\":{},\"398\":{},\"440\":{}},\"comment\":{}}],[\"extendwithage\",{\"_index\":265,\"name\":{\"682\":{}},\"comment\":{}}],[\"extendwithfacedescriptor\",{\"_index\":253,\"name\":{\"670\":{}},\"comment\":{}}],[\"extendwithfacedetection\",{\"_index\":256,\"name\":{\"673\":{}},\"comment\":{}}],[\"extendwithfaceexpressions\",{\"_index\":259,\"name\":{\"676\":{}},\"comment\":{}}],[\"extendwithfacelandmarks\",{\"_index\":262,\"name\":{\"679\":{}},\"comment\":{}}],[\"extendwithgender\",{\"_index\":268,\"name\":{\"685\":{}},\"comment\":{}}],[\"extractclassifierparams\",{\"_index\":69,\"name\":{\"99\":{},\"521\":{},\"563\":{},\"594\":{},\"625\":{}},\"comment\":{}}],[\"extractfaces\",{\"_index\":185,\"name\":{\"448\":{}},\"comment\":{}}],[\"extractfacetensors\",{\"_index\":186,\"name\":{\"449\":{}},\"comment\":{}}],[\"extractweights\",{\"_index\":87,\"name\":{\"119\":{},\"541\":{},\"583\":{},\"614\":{},\"645\":{},\"669\":{},\"821\":{},\"844\":{},\"883\":{},\"921\":{},\"991\":{}},\"comment\":{}}],[\"ey\",{\"_index\":125,\"name\":{\"174\":{},\"211\":{},\"323\":{},\"396\":{},\"438\":{}},\"comment\":{}}],[\"face_expression_labels\",{\"_index\":235,\"name\":{\"542\":{}},\"comment\":{}}],[\"facedetection\",{\"_index\":135,\"name\":{\"228\":{}},\"comment\":{}}],[\"facedetectionfunction\",{\"_index\":313,\"name\":{\"787\":{}},\"comment\":{}}],[\"facedetectionnet\",{\"_index\":324,\"name\":{\"799\":{}},\"comment\":{}}],[\"facedetectionoptions\",{\"_index\":312,\"name\":{\"786\":{}},\"comment\":{}}],[\"faceexpressionnet\",{\"_index\":233,\"name\":{\"512\":{},\"765\":{}},\"comment\":{}}],[\"faceexpressions\",{\"_index\":236,\"name\":{\"543\":{}},\"comment\":{}}],[\"facefeatureextractor\",{\"_index\":62,\"name\":{\"92\":{},\"517\":{},\"559\":{},\"590\":{},\"621\":{}},\"comment\":{}}],[\"facelandmark68net\",{\"_index\":248,\"name\":{\"584\":{},\"762\":{}},\"comment\":{}}],[\"facelandmark68tinynet\",{\"_index\":249,\"name\":{\"615\":{},\"763\":{}},\"comment\":{}}],[\"facelandmarknet\",{\"_index\":245,\"name\":{\"553\":{}},\"comment\":{}}],[\"facelandmarks\",{\"_index\":26,\"name\":{\"42\":{},\"242\":{}},\"comment\":{}}],[\"facelandmarks5\",{\"_index\":149,\"name\":{\"253\":{}},\"comment\":{}}],[\"facelandmarks68\",{\"_index\":150,\"name\":{\"264\":{}},\"comment\":{}}],[\"facematch\",{\"_index\":160,\"name\":{\"285\":{}},\"comment\":{}}],[\"facematcher\",{\"_index\":289,\"name\":{\"748\":{}},\"comment\":{}}],[\"facerecognitionnet\",{\"_index\":251,\"name\":{\"647\":{},\"764\":{}},\"comment\":{}}],[\"fc\",{\"_index\":96,\"name\":{\"134\":{}},\"comment\":{}}],[\"fearful\",{\"_index\":241,\"name\":{\"549\":{}},\"comment\":{}}],[\"female\",{\"_index\":89,\"name\":{\"121\":{}},\"comment\":{}}],[\"fetchimage\",{\"_index\":187,\"name\":{\"450\":{}},\"comment\":{}}],[\"fetchjson\",{\"_index\":188,\"name\":{\"451\":{}},\"comment\":{}}],[\"fetchnetweights\",{\"_index\":189,\"name\":{\"452\":{}},\"comment\":{}}],[\"fetchorthrow\",{\"_index\":190,\"name\":{\"453\":{}},\"comment\":{}}],[\"fetchvideo\",{\"_index\":191,\"name\":{\"454\":{}},\"comment\":{}}],[\"filesystem\",{\"_index\":230,\"name\":{\"507\":{}},\"comment\":{}}],[\"filtersizes\",{\"_index\":350,\"name\":{\"938\":{}},\"comment\":{}}],[\"findbestmatch\",{\"_index\":294,\"name\":{\"755\":{}},\"comment\":{}}],[\"floor\",{\"_index\":114,\"name\":{\"161\":{},\"198\":{},\"310\":{},\"359\":{},\"383\":{},\"425\":{}},\"comment\":{}}],[\"fontcolor\",{\"_index\":35,\"name\":{\"54\":{},\"62\":{}},\"comment\":{}}],[\"fontsize\",{\"_index\":36,\"name\":{\"55\":{},\"63\":{}},\"comment\":{}}],[\"fontstyle\",{\"_index\":37,\"name\":{\"56\":{},\"64\":{}},\"comment\":{}}],[\"forsize\",{\"_index\":136,\"name\":{\"230\":{},\"249\":{},\"260\":{},\"278\":{},\"345\":{}},\"comment\":{}}],[\"forward\",{\"_index\":65,\"name\":{\"95\":{},\"515\":{},\"557\":{},\"588\":{},\"619\":{},\"650\":{},\"802\":{},\"825\":{},\"864\":{},\"902\":{}},\"comment\":{}}],[\"forwardinput\",{\"_index\":64,\"name\":{\"94\":{},\"514\":{},\"556\":{},\"587\":{},\"618\":{},\"649\":{},\"801\":{},\"824\":{},\"863\":{},\"901\":{}},\"comment\":{}}],[\"freeze\",{\"_index\":81,\"name\":{\"113\":{},\"535\":{},\"577\":{},\"608\":{},\"639\":{},\"662\":{},\"814\":{},\"837\":{},\"876\":{},\"914\":{},\"984\":{}},\"comment\":{}}],[\"fromjson\",{\"_index\":165,\"name\":{\"330\":{},\"749\":{}},\"comment\":{}}],[\"gender\",{\"_index\":88,\"name\":{\"120\":{},\"126\":{},\"131\":{},\"137\":{}},\"comment\":{}}],[\"genderprobability\",{\"_index\":93,\"name\":{\"127\":{}},\"comment\":{}}],[\"getcenterpoint\",{\"_index\":57,\"name\":{\"86\":{}},\"comment\":{}}],[\"getcontext2dorthrow\",{\"_index\":192,\"name\":{\"455\":{}},\"comment\":{}}],[\"getenv\",{\"_index\":221,\"name\":{\"489\":{}},\"comment\":{}}],[\"getfrozenparams\",{\"_index\":79,\"name\":{\"111\":{},\"533\":{},\"575\":{},\"606\":{},\"637\":{},\"660\":{},\"812\":{},\"835\":{},\"874\":{},\"912\":{},\"982\":{}},\"comment\":{}}],[\"getinput\",{\"_index\":208,\"name\":{\"475\":{}},\"comment\":{}}],[\"getinputdimensions\",{\"_index\":209,\"name\":{\"476\":{}},\"comment\":{}}],[\"getinputheight\",{\"_index\":210,\"name\":{\"477\":{}},\"comment\":{}}],[\"getinputwidth\",{\"_index\":211,\"name\":{\"478\":{}},\"comment\":{}}],[\"getjawoutline\",{\"_index\":151,\"name\":{\"266\":{}},\"comment\":{}}],[\"getlefteye\",{\"_index\":155,\"name\":{\"270\":{}},\"comment\":{}}],[\"getlefteyebrow\",{\"_index\":152,\"name\":{\"267\":{}},\"comment\":{}}],[\"getmediadimensions\",{\"_index\":193,\"name\":{\"456\":{}},\"comment\":{}}],[\"getmouth\",{\"_index\":157,\"name\":{\"272\":{}},\"comment\":{}}],[\"getnose\",{\"_index\":154,\"name\":{\"269\":{}},\"comment\":{}}],[\"getparamfrompath\",{\"_index\":75,\"name\":{\"107\":{},\"529\":{},\"571\":{},\"602\":{},\"633\":{},\"656\":{},\"808\":{},\"831\":{},\"870\":{},\"908\":{},\"978\":{}},\"comment\":{}}],[\"getparamlist\",{\"_index\":77,\"name\":{\"109\":{},\"531\":{},\"573\":{},\"604\":{},\"635\":{},\"658\":{},\"810\":{},\"833\":{},\"872\":{},\"910\":{},\"980\":{}},\"comment\":{}}],[\"getreshapedinputdimensions\",{\"_index\":212,\"name\":{\"479\":{}},\"comment\":{}}],[\"getrighteye\",{\"_index\":156,\"name\":{\"271\":{}},\"comment\":{}}],[\"getrighteyebrow\",{\"_index\":153,\"name\":{\"268\":{}},\"comment\":{}}],[\"gettrainableparams\",{\"_index\":78,\"name\":{\"110\":{},\"532\":{},\"574\":{},\"605\":{},\"636\":{},\"659\":{},\"811\":{},\"834\":{},\"873\":{},\"911\":{},\"981\":{}},\"comment\":{}}],[\"getupperleft\",{\"_index\":45,\"name\":{\"73\":{}},\"comment\":{}}],[\"h\",{\"_index\":128,\"name\":{\"178\":{},\"215\":{},\"327\":{},\"400\":{},\"442\":{}},\"comment\":{}}],[\"happy\",{\"_index\":238,\"name\":{\"546\":{}},\"comment\":{}}],[\"height\",{\"_index\":108,\"name\":{\"150\":{},\"187\":{},\"219\":{},\"223\":{},\"299\":{},\"372\":{},\"406\":{},\"414\":{},\"465\":{}},\"comment\":{}}],[\"iboundingbox\",{\"_index\":97,\"name\":{\"138\":{}},\"comment\":{}}],[\"idimensions\",{\"_index\":130,\"name\":{\"217\":{}},\"comment\":{}}],[\"idrawboxoptions\",{\"_index\":8,\"name\":{\"8\":{}},\"comment\":{}}],[\"idrawfacelandmarksoptions\",{\"_index\":19,\"name\":{\"25\":{}},\"comment\":{}}],[\"idrawtextfieldoptions\",{\"_index\":33,\"name\":{\"51\":{}},\"comment\":{}}],[\"ifacedetecion\",{\"_index\":133,\"name\":{\"225\":{}},\"comment\":{}}],[\"ifacelandmarks\",{\"_index\":143,\"name\":{\"239\":{}},\"comment\":{}}],[\"ifacematch\",{\"_index\":158,\"name\":{\"282\":{}},\"comment\":{}}],[\"imagedims\",{\"_index\":139,\"name\":{\"235\":{},\"341\":{}},\"comment\":{}}],[\"imageheight\",{\"_index\":141,\"name\":{\"237\":{},\"246\":{},\"257\":{},\"275\":{},\"343\":{}},\"comment\":{}}],[\"imagetensors\",{\"_index\":201,\"name\":{\"468\":{}},\"comment\":{}}],[\"imagetensortocanvas\",{\"_index\":194,\"name\":{\"457\":{}},\"comment\":{}}],[\"imagetosquare\",{\"_index\":195,\"name\":{\"458\":{}},\"comment\":{}}],[\"imagewidth\",{\"_index\":140,\"name\":{\"236\":{},\"245\":{},\"256\":{},\"274\":{},\"342\":{}},\"comment\":{}}],[\"initialize\",{\"_index\":223,\"name\":{\"493\":{}},\"comment\":{}}],[\"inputdimensions\",{\"_index\":205,\"name\":{\"472\":{}},\"comment\":{}}],[\"inputsize\",{\"_index\":206,\"name\":{\"473\":{},\"887\":{},\"923\":{},\"927\":{}},\"comment\":{}}],[\"inversesigmoid\",{\"_index\":315,\"name\":{\"790\":{}},\"comment\":{}}],[\"iou\",{\"_index\":316,\"name\":{\"791\":{}},\"comment\":{}}],[\"iouthreshold\",{\"_index\":347,\"name\":{\"933\":{}},\"comment\":{}}],[\"ipoint\",{\"_index\":169,\"name\":{\"346\":{}},\"comment\":{}}],[\"irect\",{\"_index\":179,\"name\":{\"402\":{}},\"comment\":{}}],[\"isbatchinput\",{\"_index\":203,\"name\":{\"470\":{}},\"comment\":{}}],[\"isbrowser\",{\"_index\":228,\"name\":{\"503\":{}},\"comment\":{}}],[\"isdimensions\",{\"_index\":55,\"name\":{\"84\":{}},\"comment\":{}}],[\"iseven\",{\"_index\":53,\"name\":{\"82\":{}},\"comment\":{}}],[\"isfirstlayerconv2d\",{\"_index\":351,\"name\":{\"939\":{}},\"comment\":{}}],[\"isfloat\",{\"_index\":52,\"name\":{\"81\":{}},\"comment\":{}}],[\"isloaded\",{\"_index\":74,\"name\":{\"106\":{},\"528\":{},\"570\":{},\"601\":{},\"632\":{},\"655\":{},\"807\":{},\"830\":{},\"869\":{},\"907\":{},\"977\":{}},\"comment\":{}}],[\"ismediaelement\",{\"_index\":196,\"name\":{\"459\":{}},\"comment\":{}}],[\"ismedialoaded\",{\"_index\":197,\"name\":{\"460\":{}},\"comment\":{}}],[\"isnodejs\",{\"_index\":229,\"name\":{\"505\":{}},\"comment\":{}}],[\"isrect\",{\"_index\":103,\"name\":{\"144\":{},\"181\":{},\"292\":{},\"363\":{},\"408\":{}},\"comment\":{}}],[\"issdmobilenetv1options\",{\"_index\":325,\"name\":{\"845\":{}},\"comment\":{}}],[\"istensor\",{\"_index\":47,\"name\":{\"76\":{}},\"comment\":{}}],[\"istensor1d\",{\"_index\":48,\"name\":{\"77\":{}},\"comment\":{}}],[\"istensor2d\",{\"_index\":49,\"name\":{\"78\":{}},\"comment\":{}}],[\"istensor3d\",{\"_index\":50,\"name\":{\"79\":{}},\"comment\":{}}],[\"istensor4d\",{\"_index\":51,\"name\":{\"80\":{}},\"comment\":{}}],[\"isvalidnumber\",{\"_index\":59,\"name\":{\"88\":{}},\"comment\":{}}],[\"isvalidprobablitiy\",{\"_index\":60,\"name\":{\"89\":{}},\"comment\":{}}],[\"iswithage\",{\"_index\":264,\"name\":{\"681\":{}},\"comment\":{}}],[\"iswithfacedetection\",{\"_index\":255,\"name\":{\"672\":{}},\"comment\":{}}],[\"iswithfaceexpressions\",{\"_index\":258,\"name\":{\"675\":{}},\"comment\":{}}],[\"iswithfacelandmarks\",{\"_index\":261,\"name\":{\"678\":{}},\"comment\":{}}],[\"iswithgender\",{\"_index\":267,\"name\":{\"684\":{}},\"comment\":{}}],[\"itinyfacedetectoroptions\",{\"_index\":338,\"name\":{\"884\":{}},\"comment\":{}}],[\"itinyyolov2options\",{\"_index\":343,\"name\":{\"922\":{}},\"comment\":{}}],[\"label\",{\"_index\":12,\"name\":{\"12\":{},\"18\":{},\"283\":{},\"287\":{},\"295\":{},\"332\":{},\"368\":{}},\"comment\":{}}],[\"labeledbox\",{\"_index\":162,\"name\":{\"290\":{}},\"comment\":{}}],[\"labeleddescriptors\",{\"_index\":290,\"name\":{\"751\":{}},\"comment\":{}}],[\"labeledfacedescriptors\",{\"_index\":164,\"name\":{\"329\":{}},\"comment\":{}}],[\"left\",{\"_index\":98,\"name\":{\"139\":{},\"151\":{},\"188\":{},\"300\":{},\"373\":{},\"415\":{}},\"comment\":{}}],[\"linecolor\",{\"_index\":23,\"name\":{\"30\":{},\"38\":{}},\"comment\":{}}],[\"linewidth\",{\"_index\":10,\"name\":{\"10\":{},\"16\":{},\"28\":{},\"36\":{}},\"comment\":{}}],[\"load\",{\"_index\":83,\"name\":{\"115\":{},\"537\":{},\"579\":{},\"610\":{},\"641\":{},\"665\":{},\"817\":{},\"840\":{},\"879\":{},\"917\":{},\"987\":{}},\"comment\":{}}],[\"loadagegendermodel\",{\"_index\":309,\"name\":{\"782\":{}},\"comment\":{}}],[\"loadclassifierparams\",{\"_index\":68,\"name\":{\"98\":{},\"520\":{},\"562\":{},\"593\":{},\"624\":{}},\"comment\":{}}],[\"loadfacedetectionmodel\",{\"_index\":310,\"name\":{\"783\":{}},\"comment\":{}}],[\"loadfaceexpressionmodel\",{\"_index\":308,\"name\":{\"781\":{}},\"comment\":{}}],[\"loadfacelandmarkmodel\",{\"_index\":305,\"name\":{\"778\":{}},\"comment\":{}}],[\"loadfacelandmarktinymodel\",{\"_index\":306,\"name\":{\"779\":{}},\"comment\":{}}],[\"loadfacerecognitionmodel\",{\"_index\":307,\"name\":{\"780\":{}},\"comment\":{}}],[\"loadfromdisk\",{\"_index\":85,\"name\":{\"117\":{},\"539\":{},\"581\":{},\"612\":{},\"643\":{},\"667\":{},\"819\":{},\"842\":{},\"881\":{},\"919\":{},\"989\":{}},\"comment\":{}}],[\"loadfromuri\",{\"_index\":84,\"name\":{\"116\":{},\"538\":{},\"580\":{},\"611\":{},\"642\":{},\"666\":{},\"818\":{},\"841\":{},\"880\":{},\"918\":{},\"988\":{}},\"comment\":{}}],[\"loadfromweightmap\",{\"_index\":86,\"name\":{\"118\":{},\"540\":{},\"582\":{},\"613\":{},\"644\":{},\"668\":{},\"820\":{},\"843\":{},\"882\":{},\"920\":{},\"990\":{}},\"comment\":{}}],[\"loadssdmobilenetv1model\",{\"_index\":302,\"name\":{\"775\":{}},\"comment\":{}}],[\"loadtinyfacedetectormodel\",{\"_index\":303,\"name\":{\"776\":{}},\"comment\":{}}],[\"loadtinyyolov2model\",{\"_index\":304,\"name\":{\"777\":{}},\"comment\":{}}],[\"loadweightmap\",{\"_index\":198,\"name\":{\"461\":{}},\"comment\":{}}],[\"locatefaces\",{\"_index\":311,\"name\":{\"784\":{},\"803\":{},\"826\":{},\"857\":{},\"895\":{}},\"comment\":{}}],[\"magnitude\",{\"_index\":176,\"name\":{\"358\":{}},\"comment\":{}}],[\"male\",{\"_index\":90,\"name\":{\"122\":{}},\"comment\":{}}],[\"matchdescriptor\",{\"_index\":293,\"name\":{\"754\":{}},\"comment\":{}}],[\"matchdimensions\",{\"_index\":199,\"name\":{\"462\":{}},\"comment\":{}}],[\"maxresults\",{\"_index\":327,\"name\":{\"847\":{},\"851\":{}},\"comment\":{}}],[\"meanrgb\",{\"_index\":349,\"name\":{\"936\":{}},\"comment\":{}}],[\"measureheight\",{\"_index\":44,\"name\":{\"72\":{}},\"comment\":{}}],[\"measurewidth\",{\"_index\":43,\"name\":{\"71\":{}},\"comment\":{}}],[\"minbbox\",{\"_index\":317,\"name\":{\"792\":{}},\"comment\":{}}],[\"minconfidence\",{\"_index\":326,\"name\":{\"846\":{},\"850\":{}},\"comment\":{}}],[\"mobilenetparams\",{\"_index\":357,\"name\":{\"948\":{}},\"comment\":{}}],[\"monkeypatch\",{\"_index\":227,\"name\":{\"501\":{}},\"comment\":{}}],[\"mul\",{\"_index\":173,\"name\":{\"355\":{}},\"comment\":{}}],[\"netinput\",{\"_index\":200,\"name\":{\"466\":{}},\"comment\":{}}],[\"netoutput\",{\"_index\":94,\"name\":{\"128\":{}},\"comment\":{}}],[\"netparams\",{\"_index\":95,\"name\":{\"132\":{}},\"comment\":{}}],[\"nets\",{\"_index\":295,\"name\":{\"757\":{}},\"comment\":{}}],[\"neuralnetwork\",{\"_index\":370,\"name\":{\"972\":{}},\"comment\":{}}],[\"neutral\",{\"_index\":237,\"name\":{\"545\":{}},\"comment\":{}}],[\"nonmaxsuppression\",{\"_index\":318,\"name\":{\"793\":{}},\"comment\":{}}],[\"normalize\",{\"_index\":319,\"name\":{\"794\":{}},\"comment\":{}}],[\"objectdetection\",{\"_index\":168,\"name\":{\"335\":{}},\"comment\":{}}],[\"options\",{\"_index\":17,\"name\":{\"22\":{},\"43\":{},\"70\":{}},\"comment\":{}}],[\"pad\",{\"_index\":117,\"name\":{\"164\":{},\"201\":{},\"313\":{},\"386\":{},\"428\":{}},\"comment\":{}}],[\"padatborders\",{\"_index\":120,\"name\":{\"167\":{},\"204\":{},\"316\":{},\"389\":{},\"431\":{}},\"comment\":{}}],[\"padding\",{\"_index\":38,\"name\":{\"57\":{},\"65\":{}},\"comment\":{}}],[\"padtosquare\",{\"_index\":320,\"name\":{\"795\":{}},\"comment\":{}}],[\"parammappings\",{\"_index\":72,\"name\":{\"102\":{},\"105\":{},\"524\":{},\"527\":{},\"566\":{},\"569\":{},\"597\":{},\"600\":{},\"628\":{},\"631\":{},\"654\":{},\"806\":{},\"829\":{},\"868\":{},\"906\":{},\"976\":{}},\"comment\":{}}],[\"params\",{\"_index\":71,\"name\":{\"101\":{},\"104\":{},\"523\":{},\"526\":{},\"565\":{},\"568\":{},\"596\":{},\"599\":{},\"627\":{},\"630\":{},\"653\":{},\"805\":{},\"828\":{},\"867\":{},\"905\":{},\"975\":{}},\"comment\":{}}],[\"point\",{\"_index\":170,\"name\":{\"349\":{}},\"comment\":{}}],[\"pointcolor\",{\"_index\":24,\"name\":{\"31\":{},\"39\":{}},\"comment\":{}}],[\"pointsize\",{\"_index\":22,\"name\":{\"29\":{},\"37\":{}},\"comment\":{}}],[\"positions\",{\"_index\":144,\"name\":{\"240\":{},\"247\":{},\"258\":{},\"276\":{}},\"comment\":{}}],[\"postprocess\",{\"_index\":246,\"name\":{\"555\":{},\"586\":{},\"617\":{}},\"comment\":{}}],[\"predictageandgender\",{\"_index\":66,\"name\":{\"96\":{},\"774\":{}},\"comment\":{}}],[\"predictedbox\",{\"_index\":177,\"name\":{\"360\":{}},\"comment\":{}}],[\"predictexpressions\",{\"_index\":234,\"name\":{\"516\":{}},\"comment\":{}}],[\"range\",{\"_index\":58,\"name\":{\"87\":{}},\"comment\":{}}],[\"readfile\",{\"_index\":231,\"name\":{\"509\":{}},\"comment\":{}}],[\"reassignparamfrompath\",{\"_index\":76,\"name\":{\"108\":{},\"530\":{},\"572\":{},\"603\":{},\"634\":{},\"657\":{},\"809\":{},\"832\":{},\"871\":{},\"909\":{},\"979\":{}},\"comment\":{}}],[\"recognizefaceexpressions\",{\"_index\":301,\"name\":{\"773\":{}},\"comment\":{}}],[\"rect\",{\"_index\":180,\"name\":{\"407\":{}},\"comment\":{}}],[\"relativebox\",{\"_index\":142,\"name\":{\"238\":{},\"344\":{}},\"comment\":{}}],[\"relativepositions\",{\"_index\":145,\"name\":{\"248\":{},\"259\":{},\"277\":{}},\"comment\":{}}],[\"rescale\",{\"_index\":116,\"name\":{\"163\":{},\"200\":{},\"312\":{},\"385\":{},\"427\":{}},\"comment\":{}}],[\"reshapedinputdimensions\",{\"_index\":207,\"name\":{\"474\":{}},\"comment\":{}}],[\"resizeresults\",{\"_index\":371,\"name\":{\"992\":{}},\"comment\":{}}],[\"resolveinput\",{\"_index\":214,\"name\":{\"481\":{}},\"comment\":{}}],[\"reverse\",{\"_index\":132,\"name\":{\"224\":{}},\"comment\":{}}],[\"right\",{\"_index\":100,\"name\":{\"141\":{},\"153\":{},\"190\":{},\"302\":{},\"375\":{},\"417\":{}},\"comment\":{}}],[\"round\",{\"_index\":54,\"name\":{\"83\":{},\"160\":{},\"197\":{},\"309\":{},\"382\":{},\"424\":{}},\"comment\":{}}],[\"run\",{\"_index\":275,\"name\":{\"693\":{},\"697\":{},\"700\":{},\"706\":{},\"715\":{},\"718\":{},\"725\":{},\"733\":{},\"736\":{},\"743\":{}},\"comment\":{}}],[\"runmobilenet\",{\"_index\":336,\"name\":{\"862\":{},\"900\":{}},\"comment\":{}}],[\"runnet\",{\"_index\":63,\"name\":{\"93\":{},\"518\":{},\"560\":{},\"591\":{},\"622\":{}},\"comment\":{}}],[\"runtinyyolov2\",{\"_index\":335,\"name\":{\"861\":{},\"899\":{}},\"comment\":{}}],[\"sad\",{\"_index\":239,\"name\":{\"547\":{}},\"comment\":{}}],[\"score\",{\"_index\":134,\"name\":{\"226\":{},\"231\":{},\"337\":{},\"366\":{}},\"comment\":{}}],[\"scorethreshold\",{\"_index\":340,\"name\":{\"888\":{},\"924\":{},\"928\":{}},\"comment\":{}}],[\"serializeparams\",{\"_index\":82,\"name\":{\"114\":{},\"536\":{},\"578\":{},\"609\":{},\"640\":{},\"664\":{},\"816\":{},\"839\":{},\"878\":{},\"916\":{},\"986\":{}},\"comment\":{}}],[\"setenv\",{\"_index\":222,\"name\":{\"491\":{}},\"comment\":{}}],[\"shift\",{\"_index\":119,\"name\":{\"166\":{},\"203\":{},\"241\":{},\"244\":{},\"255\":{},\"273\":{},\"315\":{},\"388\":{},\"430\":{}},\"comment\":{}}],[\"shiftby\",{\"_index\":146,\"name\":{\"250\":{},\"261\":{},\"279\":{}},\"comment\":{}}],[\"shiftbypoint\",{\"_index\":147,\"name\":{\"251\":{},\"262\":{},\"280\":{}},\"comment\":{}}],[\"shufflearray\",{\"_index\":321,\"name\":{\"796\":{}},\"comment\":{}}],[\"sigmoid\",{\"_index\":314,\"name\":{\"789\":{}},\"comment\":{}}],[\"ssdmobilenetv1\",{\"_index\":296,\"name\":{\"759\":{},\"767\":{},\"822\":{}},\"comment\":{}}],[\"ssdmobilenetv1options\",{\"_index\":328,\"name\":{\"848\":{}},\"comment\":{}}],[\"sub\",{\"_index\":172,\"name\":{\"354\":{},\"942\":{}},\"comment\":{}}],[\"surprised\",{\"_index\":243,\"name\":{\"551\":{}},\"comment\":{}}],[\"tdrawdetectionsinput\",{\"_index\":5,\"name\":{\"5\":{}},\"comment\":{}}],[\"text\",{\"_index\":41,\"name\":{\"68\":{}},\"comment\":{}}],[\"tf\",{\"_index\":1,\"name\":{\"1\":{}},\"comment\":{}}],[\"then\",{\"_index\":274,\"name\":{\"692\":{},\"696\":{},\"703\":{},\"709\":{},\"714\":{},\"722\":{},\"729\":{},\"732\":{},\"740\":{},\"747\":{}},\"comment\":{}}],[\"tinyfacedetector\",{\"_index\":297,\"name\":{\"760\":{},\"768\":{},\"853\":{}},\"comment\":{}}],[\"tinyfacedetectoroptions\",{\"_index\":339,\"name\":{\"885\":{}},\"comment\":{}}],[\"tinyyolov2\",{\"_index\":298,\"name\":{\"761\":{},\"769\":{},\"890\":{}},\"comment\":{}}],[\"tinyyolov2config\",{\"_index\":346,\"name\":{\"930\":{}},\"comment\":{}}],[\"tinyyolov2netparams\",{\"_index\":368,\"name\":{\"970\":{}},\"comment\":{}}],[\"tinyyolov2options\",{\"_index\":344,\"name\":{\"925\":{}},\"comment\":{}}],[\"tmediaelement\",{\"_index\":216,\"name\":{\"483\":{}},\"comment\":{}}],[\"tnetinput\",{\"_index\":219,\"name\":{\"486\":{}},\"comment\":{}}],[\"tnetinputarg\",{\"_index\":218,\"name\":{\"485\":{}},\"comment\":{}}],[\"tobatchtensor\",{\"_index\":213,\"name\":{\"480\":{}},\"comment\":{}}],[\"tojson\",{\"_index\":167,\"name\":{\"334\":{},\"756\":{}},\"comment\":{}}],[\"tonetinput\",{\"_index\":215,\"name\":{\"482\":{}},\"comment\":{}}],[\"top\",{\"_index\":99,\"name\":{\"140\":{},\"152\":{},\"189\":{},\"301\":{},\"374\":{},\"416\":{}},\"comment\":{}}],[\"top_left\",{\"_index\":29,\"name\":{\"47\":{}},\"comment\":{}}],[\"top_right\",{\"_index\":30,\"name\":{\"48\":{}},\"comment\":{}}],[\"topleft\",{\"_index\":110,\"name\":{\"156\":{},\"193\":{},\"305\":{},\"378\":{},\"420\":{}},\"comment\":{}}],[\"topright\",{\"_index\":111,\"name\":{\"157\":{},\"194\":{},\"306\":{},\"379\":{},\"421\":{}},\"comment\":{}}],[\"tosquare\",{\"_index\":115,\"name\":{\"162\":{},\"199\":{},\"311\":{},\"384\":{},\"426\":{}},\"comment\":{}}],[\"tostring\",{\"_index\":161,\"name\":{\"289\":{}},\"comment\":{}}],[\"tresolvednetinput\",{\"_index\":217,\"name\":{\"484\":{}},\"comment\":{}}],[\"truediv\",{\"_index\":353,\"name\":{\"943\":{}},\"comment\":{}}],[\"utils\",{\"_index\":46,\"name\":{\"75\":{}},\"comment\":{}}],[\"validateconfig\",{\"_index\":345,\"name\":{\"929\":{}},\"comment\":{}}],[\"variable\",{\"_index\":80,\"name\":{\"112\":{},\"534\":{},\"576\":{},\"607\":{},\"638\":{},\"661\":{},\"813\":{},\"836\":{},\"875\":{},\"913\":{},\"983\":{}},\"comment\":{}}],[\"version\",{\"_index\":0,\"name\":{\"0\":{}},\"comment\":{}}],[\"w\",{\"_index\":127,\"name\":{\"177\":{},\"214\":{},\"326\":{},\"399\":{},\"441\":{}},\"comment\":{}}],[\"width\",{\"_index\":107,\"name\":{\"149\":{},\"186\":{},\"218\":{},\"222\":{},\"298\":{},\"371\":{},\"405\":{},\"413\":{},\"464\":{}},\"comment\":{}}],[\"withage\",{\"_index\":266,\"name\":{\"683\":{}},\"comment\":{}}],[\"withageandgender\",{\"_index\":278,\"name\":{\"702\":{},\"708\":{},\"721\":{},\"728\":{},\"738\":{},\"745\":{}},\"comment\":{}}],[\"withclassscores\",{\"_index\":333,\"name\":{\"859\":{},\"897\":{},\"937\":{}},\"comment\":{}}],[\"withfacedescriptor\",{\"_index\":254,\"name\":{\"671\":{},\"746\":{}},\"comment\":{}}],[\"withfacedescriptors\",{\"_index\":287,\"name\":{\"739\":{}},\"comment\":{}}],[\"withfacedetection\",{\"_index\":257,\"name\":{\"674\":{}},\"comment\":{}}],[\"withfaceexpressions\",{\"_index\":260,\"name\":{\"677\":{},\"701\":{},\"707\":{},\"720\":{},\"727\":{},\"737\":{},\"744\":{}},\"comment\":{}}],[\"withfacelandmarks\",{\"_index\":263,\"name\":{\"680\":{},\"719\":{},\"726\":{}},\"comment\":{}}],[\"withgender\",{\"_index\":269,\"name\":{\"686\":{}},\"comment\":{}}],[\"withseparableconvs\",{\"_index\":342,\"name\":{\"893\":{},\"932\":{}},\"comment\":{}}],[\"x\",{\"_index\":105,\"name\":{\"147\":{},\"175\":{},\"184\":{},\"212\":{},\"296\":{},\"324\":{},\"347\":{},\"351\":{},\"369\":{},\"397\":{},\"403\":{},\"411\":{},\"439\":{}},\"comment\":{}}],[\"y\",{\"_index\":106,\"name\":{\"148\":{},\"173\":{},\"185\":{},\"210\":{},\"297\":{},\"322\":{},\"348\":{},\"352\":{},\"370\":{},\"395\":{},\"404\":{},\"412\":{},\"437\":{}},\"comment\":{}}]],\"pipeline\":[]}}"); \ No newline at end of file +window.searchData = JSON.parse("{\"kinds\":{\"4\":\"Namespace\",\"8\":\"Enumeration\",\"16\":\"Enumeration Member\",\"32\":\"Variable\",\"64\":\"Function\",\"128\":\"Class\",\"256\":\"Interface\",\"512\":\"Constructor\",\"1024\":\"Property\",\"2048\":\"Method\",\"65536\":\"Type literal\",\"262144\":\"Accessor\",\"4194304\":\"Type alias\"},\"rows\":[{\"kind\":32,\"name\":\"version\",\"url\":\"variables/version.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":1024,\"name\":\"tf\",\"url\":\"index.html#tf\",\"classes\":\"tsd-kind-property\"},{\"kind\":4,\"name\":\"draw\",\"url\":\"modules/draw.html\",\"classes\":\"tsd-kind-namespace\"},{\"kind\":64,\"name\":\"drawContour\",\"url\":\"functions/draw.drawContour.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":64,\"name\":\"drawDetections\",\"url\":\"functions/draw.drawDetections.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":4194304,\"name\":\"TDrawDetectionsInput\",\"url\":\"types/draw.TDrawDetectionsInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":64,\"name\":\"drawFaceExpressions\",\"url\":\"functions/draw.drawFaceExpressions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":4194304,\"name\":\"DrawFaceExpressionsInput\",\"url\":\"types/draw.DrawFaceExpressionsInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":256,\"name\":\"IDrawBoxOptions\",\"url\":\"interfaces/draw.IDrawBoxOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"boxColor\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#boxColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"drawLabelOptions\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#drawLabelOptions\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"interfaces/draw.IDrawBoxOptions.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawBoxOptions\"},{\"kind\":128,\"name\":\"DrawBoxOptions\",\"url\":\"classes/draw.DrawBoxOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawBoxOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"boxColor\",\"url\":\"classes/draw.DrawBoxOptions.html#boxColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"classes/draw.DrawBoxOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"drawLabelOptions\",\"url\":\"classes/draw.DrawBoxOptions.html#drawLabelOptions\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"classes/draw.DrawBoxOptions.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBoxOptions\"},{\"kind\":128,\"name\":\"DrawBox\",\"url\":\"classes/draw.DrawBox.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":1024,\"name\":\"box\",\"url\":\"classes/draw.DrawBox.html#box\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawBox.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawBox.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawBox\"},{\"kind\":64,\"name\":\"drawFaceLandmarks\",\"url\":\"functions/draw.drawFaceLandmarks-1.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":256,\"name\":\"IDrawFaceLandmarksOptions\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"drawLines\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#drawLines\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawPoints\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#drawPoints\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointSize\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#pointSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineColor\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#lineColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointColor\",\"url\":\"interfaces/draw.IDrawFaceLandmarksOptions.html#pointColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawFaceLandmarksOptions\"},{\"kind\":128,\"name\":\"DrawFaceLandmarksOptions\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawLines\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#drawLines\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"drawPoints\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#drawPoints\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineWidth\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#lineWidth\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointSize\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#pointSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"lineColor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#lineColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":1024,\"name\":\"pointColor\",\"url\":\"classes/draw.DrawFaceLandmarksOptions.html#pointColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarksOptions\"},{\"kind\":128,\"name\":\"DrawFaceLandmarks\",\"url\":\"classes/draw.DrawFaceLandmarks.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawFaceLandmarks.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":1024,\"name\":\"faceLandmarks\",\"url\":\"classes/draw.DrawFaceLandmarks.html#faceLandmarks\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawFaceLandmarks.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawFaceLandmarks.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawFaceLandmarks\"},{\"kind\":4194304,\"name\":\"DrawFaceLandmarksInput\",\"url\":\"types/draw.DrawFaceLandmarksInput.html\",\"classes\":\"tsd-kind-type-alias tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":8,\"name\":\"AnchorPosition\",\"url\":\"enums/draw.AnchorPosition.html\",\"classes\":\"tsd-kind-enum tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":16,\"name\":\"TOP_LEFT\",\"url\":\"enums/draw.AnchorPosition.html#TOP_LEFT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"TOP_RIGHT\",\"url\":\"enums/draw.AnchorPosition.html#TOP_RIGHT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"BOTTOM_LEFT\",\"url\":\"enums/draw.AnchorPosition.html#BOTTOM_LEFT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":16,\"name\":\"BOTTOM_RIGHT\",\"url\":\"enums/draw.AnchorPosition.html#BOTTOM_RIGHT\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"draw.AnchorPosition\"},{\"kind\":256,\"name\":\"IDrawTextFieldOptions\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html\",\"classes\":\"tsd-kind-interface tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":1024,\"name\":\"anchorPosition\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#anchorPosition\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"backgroundColor\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#backgroundColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontColor\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontSize\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontStyle\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#fontStyle\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"padding\",\"url\":\"interfaces/draw.IDrawTextFieldOptions.html#padding\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"draw.IDrawTextFieldOptions\"},{\"kind\":128,\"name\":\"DrawTextFieldOptions\",\"url\":\"classes/draw.DrawTextFieldOptions.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"anchorPosition\",\"url\":\"classes/draw.DrawTextFieldOptions.html#anchorPosition\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"backgroundColor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#backgroundColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontColor\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontColor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontSize\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"fontStyle\",\"url\":\"classes/draw.DrawTextFieldOptions.html#fontStyle\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":1024,\"name\":\"padding\",\"url\":\"classes/draw.DrawTextFieldOptions.html#padding\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextFieldOptions\"},{\"kind\":128,\"name\":\"DrawTextField\",\"url\":\"classes/draw.DrawTextField.html\",\"classes\":\"tsd-kind-class tsd-parent-kind-namespace\",\"parent\":\"draw\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/draw.DrawTextField.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"text\",\"url\":\"classes/draw.DrawTextField.html#text\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"anchor\",\"url\":\"classes/draw.DrawTextField.html#anchor\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":1024,\"name\":\"options\",\"url\":\"classes/draw.DrawTextField.html#options\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"measureWidth\",\"url\":\"classes/draw.DrawTextField.html#measureWidth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"measureHeight\",\"url\":\"classes/draw.DrawTextField.html#measureHeight\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"getUpperLeft\",\"url\":\"classes/draw.DrawTextField.html#getUpperLeft\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":2048,\"name\":\"draw\",\"url\":\"classes/draw.DrawTextField.html#draw\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"draw.DrawTextField\"},{\"kind\":4,\"name\":\"utils\",\"url\":\"modules/utils.html\",\"classes\":\"tsd-kind-namespace\"},{\"kind\":64,\"name\":\"isTensor\",\"url\":\"functions/utils.isTensor.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor1D\",\"url\":\"functions/utils.isTensor1D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor2D\",\"url\":\"functions/utils.isTensor2D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor3D\",\"url\":\"functions/utils.isTensor3D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isTensor4D\",\"url\":\"functions/utils.isTensor4D.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isFloat\",\"url\":\"functions/utils.isFloat.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isEven\",\"url\":\"functions/utils.isEven.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"round\",\"url\":\"functions/utils.round.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isDimensions\",\"url\":\"functions/utils.isDimensions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"computeReshapedDimensions\",\"url\":\"functions/utils.computeReshapedDimensions.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"getCenterPoint\",\"url\":\"functions/utils.getCenterPoint.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"range\",\"url\":\"functions/utils.range.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isValidNumber\",\"url\":\"functions/utils.isValidNumber.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":64,\"name\":\"isValidProbablitiy\",\"url\":\"functions/utils.isValidProbablitiy.html\",\"classes\":\"tsd-kind-function tsd-parent-kind-namespace\",\"parent\":\"utils\"},{\"kind\":128,\"name\":\"AgeGenderNet\",\"url\":\"classes/AgeGenderNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/AgeGenderNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/AgeGenderNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/AgeGenderNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/AgeGenderNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/AgeGenderNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"predictAgeAndGender\",\"url\":\"classes/AgeGenderNet.html#predictAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/AgeGenderNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/AgeGenderNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"AgeGenderNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/AgeGenderNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeGenderNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/AgeGenderNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/AgeGenderNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/AgeGenderNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/AgeGenderNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/AgeGenderNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/AgeGenderNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/AgeGenderNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/AgeGenderNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/AgeGenderNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/AgeGenderNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/AgeGenderNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/AgeGenderNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/AgeGenderNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/AgeGenderNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/AgeGenderNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/AgeGenderNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/AgeGenderNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"AgeGenderNet\"},{\"kind\":8,\"name\":\"Gender\",\"url\":\"enums/Gender.html\",\"classes\":\"tsd-kind-enum\"},{\"kind\":16,\"name\":\"FEMALE\",\"url\":\"enums/Gender.html#FEMALE\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"Gender\"},{\"kind\":16,\"name\":\"MALE\",\"url\":\"enums/Gender.html#MALE\",\"classes\":\"tsd-kind-enum-member tsd-parent-kind-enum\",\"parent\":\"Gender\"},{\"kind\":4194304,\"name\":\"AgeAndGenderPrediction\",\"url\":\"types/AgeAndGenderPrediction.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/AgeAndGenderPrediction.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"AgeAndGenderPrediction\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/AgeAndGenderPrediction.html#__type.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/AgeAndGenderPrediction.html#__type.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":1024,\"name\":\"genderProbability\",\"url\":\"types/AgeAndGenderPrediction.html#__type.genderProbability\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"AgeAndGenderPrediction.__type\"},{\"kind\":4194304,\"name\":\"NetOutput\",\"url\":\"types/NetOutput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetOutput.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"NetOutput\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/NetOutput.html#__type.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetOutput.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/NetOutput.html#__type.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetOutput.__type\"},{\"kind\":4194304,\"name\":\"NetParams\",\"url\":\"types/NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"NetParams\"},{\"kind\":1024,\"name\":\"fc\",\"url\":\"types/NetParams.html#__type.fc\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/NetParams.html#__type.fc.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"NetParams.__type.fc\"},{\"kind\":1024,\"name\":\"age\",\"url\":\"types/NetParams.html#__type.fc.__type-1.age\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type.fc.__type\"},{\"kind\":1024,\"name\":\"gender\",\"url\":\"types/NetParams.html#__type.fc.__type-1.gender\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"NetParams.__type.fc.__type\"},{\"kind\":256,\"name\":\"IBoundingBox\",\"url\":\"interfaces/IBoundingBox.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"left\",\"url\":\"interfaces/IBoundingBox.html#left\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"top\",\"url\":\"interfaces/IBoundingBox.html#top\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"right\",\"url\":\"interfaces/IBoundingBox.html#right\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":1024,\"name\":\"bottom\",\"url\":\"interfaces/IBoundingBox.html#bottom\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IBoundingBox\"},{\"kind\":128,\"name\":\"BoundingBox\",\"url\":\"classes/BoundingBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/BoundingBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/BoundingBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/BoundingBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/BoundingBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/BoundingBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/BoundingBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/BoundingBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/BoundingBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/BoundingBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/BoundingBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/BoundingBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/BoundingBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/BoundingBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/BoundingBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/BoundingBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/BoundingBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/BoundingBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/BoundingBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/BoundingBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/BoundingBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/BoundingBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/BoundingBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/BoundingBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/BoundingBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/BoundingBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BoundingBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/BoundingBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"BoundingBox\"},{\"kind\":128,\"name\":\"Box\",\"url\":\"classes/Box.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/Box.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/Box.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Box.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Box.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Box.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Box.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Box.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/Box.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/Box.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/Box.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/Box.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/Box.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/Box.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/Box.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/Box.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/Box.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/Box.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Box.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/Box.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/Box.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/Box.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/Box.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/Box.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/Box.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/Box.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Box.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/Box.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Box\"},{\"kind\":256,\"name\":\"IDimensions\",\"url\":\"interfaces/IDimensions.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"interfaces/IDimensions.html#width\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IDimensions\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"interfaces/IDimensions.html#height\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IDimensions\"},{\"kind\":128,\"name\":\"Dimensions\",\"url\":\"classes/Dimensions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Dimensions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Dimensions.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Dimensions.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":2048,\"name\":\"reverse\",\"url\":\"classes/Dimensions.html#reverse\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Dimensions\"},{\"kind\":256,\"name\":\"IFaceDetecion\",\"url\":\"interfaces/IFaceDetecion.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"score\",\"url\":\"interfaces/IFaceDetecion.html#score\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceDetecion\"},{\"kind\":1024,\"name\":\"box\",\"url\":\"interfaces/IFaceDetecion.html#box\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceDetecion\"},{\"kind\":128,\"name\":\"FaceDetection\",\"url\":\"classes/FaceDetection.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceDetection.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceDetection\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceDetection.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/FaceDetection.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/FaceDetection.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"className\",\"url\":\"classes/FaceDetection.html#className\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"box\",\"url\":\"classes/FaceDetection.html#box\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageDims\",\"url\":\"classes/FaceDetection.html#imageDims\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceDetection.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceDetection.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":262144,\"name\":\"relativeBox\",\"url\":\"classes/FaceDetection.html#relativeBox\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetection\"},{\"kind\":256,\"name\":\"IFaceLandmarks\",\"url\":\"interfaces/IFaceLandmarks.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"positions\",\"url\":\"interfaces/IFaceLandmarks.html#positions\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceLandmarks\"},{\"kind\":1024,\"name\":\"shift\",\"url\":\"interfaces/IFaceLandmarks.html#shift\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceLandmarks\"},{\"kind\":128,\"name\":\"FaceLandmarks\",\"url\":\"classes/FaceLandmarks.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks\"},{\"kind\":128,\"name\":\"FaceLandmarks5\",\"url\":\"classes/FaceLandmarks5.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks5.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks5.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks5.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks5.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks5.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks5.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks5.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks5.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks5.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks5.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks5\"},{\"kind\":128,\"name\":\"FaceLandmarks68\",\"url\":\"classes/FaceLandmarks68.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarks68.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getJawOutline\",\"url\":\"classes/FaceLandmarks68.html#getJawOutline\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getLeftEyeBrow\",\"url\":\"classes/FaceLandmarks68.html#getLeftEyeBrow\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getRightEyeBrow\",\"url\":\"classes/FaceLandmarks68.html#getRightEyeBrow\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getNose\",\"url\":\"classes/FaceLandmarks68.html#getNose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getLeftEye\",\"url\":\"classes/FaceLandmarks68.html#getLeftEye\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getRightEye\",\"url\":\"classes/FaceLandmarks68.html#getRightEye\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"getMouth\",\"url\":\"classes/FaceLandmarks68.html#getMouth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"shift\",\"url\":\"classes/FaceLandmarks68.html#shift\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/FaceLandmarks68.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/FaceLandmarks68.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"positions\",\"url\":\"classes/FaceLandmarks68.html#positions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":262144,\"name\":\"relativePositions\",\"url\":\"classes/FaceLandmarks68.html#relativePositions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/FaceLandmarks68.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"shiftBy\",\"url\":\"classes/FaceLandmarks68.html#shiftBy\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"shiftByPoint\",\"url\":\"classes/FaceLandmarks68.html#shiftByPoint\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":2048,\"name\":\"align\",\"url\":\"classes/FaceLandmarks68.html#align\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarks68\"},{\"kind\":256,\"name\":\"IFaceMatch\",\"url\":\"interfaces/IFaceMatch.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"label\",\"url\":\"interfaces/IFaceMatch.html#label\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceMatch\"},{\"kind\":1024,\"name\":\"distance\",\"url\":\"interfaces/IFaceMatch.html#distance\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IFaceMatch\"},{\"kind\":128,\"name\":\"FaceMatch\",\"url\":\"classes/FaceMatch.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceMatch.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/FaceMatch.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":262144,\"name\":\"distance\",\"url\":\"classes/FaceMatch.html#distance\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":2048,\"name\":\"toString\",\"url\":\"classes/FaceMatch.html#toString\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatch\"},{\"kind\":128,\"name\":\"LabeledBox\",\"url\":\"classes/LabeledBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"assertIsValidLabeledBox\",\"url\":\"classes/LabeledBox.html#assertIsValidLabeledBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/LabeledBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/LabeledBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/LabeledBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/LabeledBox.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/LabeledBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/LabeledBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/LabeledBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/LabeledBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/LabeledBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/LabeledBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/LabeledBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/LabeledBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/LabeledBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/LabeledBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/LabeledBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/LabeledBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/LabeledBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/LabeledBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/LabeledBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/LabeledBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/LabeledBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/LabeledBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/LabeledBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/LabeledBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/LabeledBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/LabeledBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"LabeledBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/LabeledBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"LabeledBox\"},{\"kind\":128,\"name\":\"LabeledFaceDescriptors\",\"url\":\"classes/LabeledFaceDescriptors.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"fromJSON\",\"url\":\"classes/LabeledFaceDescriptors.html#fromJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/LabeledFaceDescriptors.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/LabeledFaceDescriptors.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":262144,\"name\":\"descriptors\",\"url\":\"classes/LabeledFaceDescriptors.html#descriptors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":2048,\"name\":\"toJSON\",\"url\":\"classes/LabeledFaceDescriptors.html#toJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"LabeledFaceDescriptors\"},{\"kind\":128,\"name\":\"ObjectDetection\",\"url\":\"classes/ObjectDetection.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ObjectDetection.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/ObjectDetection.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/ObjectDetection.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"className\",\"url\":\"classes/ObjectDetection.html#className\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"box\",\"url\":\"classes/ObjectDetection.html#box\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageDims\",\"url\":\"classes/ObjectDetection.html#imageDims\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageWidth\",\"url\":\"classes/ObjectDetection.html#imageWidth\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"imageHeight\",\"url\":\"classes/ObjectDetection.html#imageHeight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":262144,\"name\":\"relativeBox\",\"url\":\"classes/ObjectDetection.html#relativeBox\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":2048,\"name\":\"forSize\",\"url\":\"classes/ObjectDetection.html#forSize\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ObjectDetection\"},{\"kind\":256,\"name\":\"IPoint\",\"url\":\"interfaces/IPoint.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"interfaces/IPoint.html#x\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IPoint\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"interfaces/IPoint.html#y\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IPoint\"},{\"kind\":128,\"name\":\"Point\",\"url\":\"classes/Point.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Point.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Point.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Point.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"add\",\"url\":\"classes/Point.html#add\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"sub\",\"url\":\"classes/Point.html#sub\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"mul\",\"url\":\"classes/Point.html#mul\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"div\",\"url\":\"classes/Point.html#div\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"abs\",\"url\":\"classes/Point.html#abs\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"magnitude\",\"url\":\"classes/Point.html#magnitude\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Point.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"Point\"},{\"kind\":128,\"name\":\"PredictedBox\",\"url\":\"classes/PredictedBox.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"assertIsValidPredictedBox\",\"url\":\"classes/PredictedBox.html#assertIsValidPredictedBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"assertIsValidLabeledBox\",\"url\":\"classes/PredictedBox.html#assertIsValidLabeledBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/PredictedBox.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/PredictedBox.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/PredictedBox.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"score\",\"url\":\"classes/PredictedBox.html#score\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"classScore\",\"url\":\"classes/PredictedBox.html#classScore\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"label\",\"url\":\"classes/PredictedBox.html#label\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/PredictedBox.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/PredictedBox.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/PredictedBox.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/PredictedBox.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/PredictedBox.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/PredictedBox.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/PredictedBox.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/PredictedBox.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/PredictedBox.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/PredictedBox.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/PredictedBox.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/PredictedBox.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/PredictedBox.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/PredictedBox.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/PredictedBox.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/PredictedBox.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/PredictedBox.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/PredictedBox.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/PredictedBox.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/PredictedBox.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/PredictedBox.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/PredictedBox.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"PredictedBox.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/PredictedBox.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"PredictedBox\"},{\"kind\":256,\"name\":\"IRect\",\"url\":\"interfaces/IRect.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"interfaces/IRect.html#x\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"interfaces/IRect.html#y\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"interfaces/IRect.html#width\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"interfaces/IRect.html#height\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"IRect\"},{\"kind\":128,\"name\":\"Rect\",\"url\":\"classes/Rect.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"isRect\",\"url\":\"classes/Rect.html#isRect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"assertIsValidBox\",\"url\":\"classes/Rect.html#assertIsValidBox\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/Rect.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"x\",\"url\":\"classes/Rect.html#x\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"y\",\"url\":\"classes/Rect.html#y\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"width\",\"url\":\"classes/Rect.html#width\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"height\",\"url\":\"classes/Rect.html#height\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"left\",\"url\":\"classes/Rect.html#left\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"top\",\"url\":\"classes/Rect.html#top\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"right\",\"url\":\"classes/Rect.html#right\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottom\",\"url\":\"classes/Rect.html#bottom\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"area\",\"url\":\"classes/Rect.html#area\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"topLeft\",\"url\":\"classes/Rect.html#topLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"topRight\",\"url\":\"classes/Rect.html#topRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottomLeft\",\"url\":\"classes/Rect.html#bottomLeft\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":262144,\"name\":\"bottomRight\",\"url\":\"classes/Rect.html#bottomRight\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"round\",\"url\":\"classes/Rect.html#round\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"floor\",\"url\":\"classes/Rect.html#floor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"toSquare\",\"url\":\"classes/Rect.html#toSquare\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"rescale\",\"url\":\"classes/Rect.html#rescale\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"pad\",\"url\":\"classes/Rect.html#pad\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"clipAtImageBorders\",\"url\":\"classes/Rect.html#clipAtImageBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"shift\",\"url\":\"classes/Rect.html#shift\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":2048,\"name\":\"padAtBorders\",\"url\":\"classes/Rect.html#padAtBorders\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders\"},{\"kind\":1024,\"name\":\"dy\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.dy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edy\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.edy\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"dx\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.dx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"edx\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.edx\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"y\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.y-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ey\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.ey\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"x\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.x-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"ex\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.ex\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"w\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.w\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":1024,\"name\":\"h\",\"url\":\"classes/Rect.html#padAtBorders.padAtBorders-1.__type.h\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"Rect.padAtBorders.padAtBorders.__type\"},{\"kind\":2048,\"name\":\"calibrate\",\"url\":\"classes/Rect.html#calibrate\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"Rect\"},{\"kind\":64,\"name\":\"awaitMediaLoaded\",\"url\":\"functions/awaitMediaLoaded.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"bufferToImage\",\"url\":\"functions/bufferToImage.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createCanvas\",\"url\":\"functions/createCanvas.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createCanvasFromMedia\",\"url\":\"functions/createCanvasFromMedia.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extractFaces\",\"url\":\"functions/extractFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extractFaceTensors\",\"url\":\"functions/extractFaceTensors.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchImage\",\"url\":\"functions/fetchImage.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchJson\",\"url\":\"functions/fetchJson.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchNetWeights\",\"url\":\"functions/fetchNetWeights.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchOrThrow\",\"url\":\"functions/fetchOrThrow.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"fetchVideo\",\"url\":\"functions/fetchVideo.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"getContext2dOrThrow\",\"url\":\"functions/getContext2dOrThrow.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"getMediaDimensions\",\"url\":\"functions/getMediaDimensions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"imageTensorToCanvas\",\"url\":\"functions/imageTensorToCanvas.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"imageToSquare\",\"url\":\"functions/imageToSquare.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"isMediaElement\",\"url\":\"functions/isMediaElement.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"isMediaLoaded\",\"url\":\"functions/isMediaLoaded.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadWeightMap\",\"url\":\"functions/loadWeightMap.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"matchDimensions\",\"url\":\"functions/matchDimensions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions\"},{\"kind\":1024,\"name\":\"width\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type.width\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions.__type\"},{\"kind\":1024,\"name\":\"height\",\"url\":\"functions/matchDimensions.html#matchDimensions.__type.height\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"matchDimensions.matchDimensions.__type\"},{\"kind\":128,\"name\":\"NetInput\",\"url\":\"classes/NetInput.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/NetInput.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"imageTensors\",\"url\":\"classes/NetInput.html#imageTensors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"canvases\",\"url\":\"classes/NetInput.html#canvases\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"isBatchInput\",\"url\":\"classes/NetInput.html#isBatchInput\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"batchSize\",\"url\":\"classes/NetInput.html#batchSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"inputDimensions\",\"url\":\"classes/NetInput.html#inputDimensions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/NetInput.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":262144,\"name\":\"reshapedInputDimensions\",\"url\":\"classes/NetInput.html#reshapedInputDimensions\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInput\",\"url\":\"classes/NetInput.html#getInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputDimensions\",\"url\":\"classes/NetInput.html#getInputDimensions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputHeight\",\"url\":\"classes/NetInput.html#getInputHeight\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getInputWidth\",\"url\":\"classes/NetInput.html#getInputWidth\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"getReshapedInputDimensions\",\"url\":\"classes/NetInput.html#getReshapedInputDimensions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":2048,\"name\":\"toBatchTensor\",\"url\":\"classes/NetInput.html#toBatchTensor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NetInput\"},{\"kind\":64,\"name\":\"resolveInput\",\"url\":\"functions/resolveInput.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"toNetInput\",\"url\":\"functions/toNetInput.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"TMediaElement\",\"url\":\"types/TMediaElement.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TResolvedNetInput\",\"url\":\"types/TResolvedNetInput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TNetInputArg\",\"url\":\"types/TNetInputArg.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"TNetInput\",\"url\":\"types/TNetInput.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":32,\"name\":\"env\",\"url\":\"variables/env.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-variable\",\"parent\":\"env\"},{\"kind\":1024,\"name\":\"getEnv\",\"url\":\"variables/env.html#__type.getEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.getEnv.__type-7\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.getEnv\"},{\"kind\":1024,\"name\":\"setEnv\",\"url\":\"variables/env.html#__type.setEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.setEnv.__type-17\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.setEnv\"},{\"kind\":1024,\"name\":\"initialize\",\"url\":\"variables/env.html#__type.initialize\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.initialize.__type-9\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.initialize\"},{\"kind\":1024,\"name\":\"createBrowserEnv\",\"url\":\"variables/env.html#__type.createBrowserEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.createBrowserEnv.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.createBrowserEnv\"},{\"kind\":1024,\"name\":\"createFileSystem\",\"url\":\"variables/env.html#__type.createFileSystem\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.createFileSystem.__type-3\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.createFileSystem\"},{\"kind\":1024,\"name\":\"createNodejsEnv\",\"url\":\"variables/env.html#__type.createNodejsEnv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.createNodejsEnv.__type-5\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.createNodejsEnv\"},{\"kind\":1024,\"name\":\"monkeyPatch\",\"url\":\"variables/env.html#__type.monkeyPatch\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.monkeyPatch.__type-15\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.monkeyPatch\"},{\"kind\":1024,\"name\":\"isBrowser\",\"url\":\"variables/env.html#__type.isBrowser\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.isBrowser.__type-11\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.isBrowser\"},{\"kind\":1024,\"name\":\"isNodejs\",\"url\":\"variables/env.html#__type.isNodejs\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"env.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/env.html#__type.isNodejs.__type-13\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"env.__type.isNodejs\"},{\"kind\":4194304,\"name\":\"FileSystem\",\"url\":\"types/FileSystem.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FileSystem.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"FileSystem\"},{\"kind\":1024,\"name\":\"readFile\",\"url\":\"types/FileSystem.html#__type.readFile\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FileSystem.__type\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FileSystem.html#__type.readFile.__type-1\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-property\",\"parent\":\"FileSystem.__type.readFile\"},{\"kind\":4194304,\"name\":\"Environment\",\"url\":\"types/Environment.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":128,\"name\":\"FaceExpressionNet\",\"url\":\"classes/FaceExpressionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceExpressionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceExpressionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceExpressionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"predictExpressions\",\"url\":\"classes/FaceExpressionNet.html#predictExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceExpressionNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceExpressionNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceExpressionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceExpressionNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceExpressionNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceExpressionNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceExpressionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceExpressionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceExpressionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceExpressionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceExpressionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceExpressionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceExpressionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceExpressionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceExpressionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceExpressionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceExpressionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceExpressionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceExpressionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceExpressionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceExpressionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceExpressionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceExpressionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceExpressionNet\"},{\"kind\":32,\"name\":\"FACE_EXPRESSION_LABELS\",\"url\":\"variables/FACE_EXPRESSION_LABELS.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":128,\"name\":\"FaceExpressions\",\"url\":\"classes/FaceExpressions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceExpressions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"neutral\",\"url\":\"classes/FaceExpressions.html#neutral\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"happy\",\"url\":\"classes/FaceExpressions.html#happy\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"sad\",\"url\":\"classes/FaceExpressions.html#sad\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"angry\",\"url\":\"classes/FaceExpressions.html#angry\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"fearful\",\"url\":\"classes/FaceExpressions.html#fearful\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"disgusted\",\"url\":\"classes/FaceExpressions.html#disgusted\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":1024,\"name\":\"surprised\",\"url\":\"classes/FaceExpressions.html#surprised\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":2048,\"name\":\"asSortedArray\",\"url\":\"classes/FaceExpressions.html#asSortedArray\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceExpressions\"},{\"kind\":128,\"name\":\"FaceLandmarkNet\",\"url\":\"classes/FaceLandmarkNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmarkNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmarkNet.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmarkNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmarkNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmarkNet.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmarkNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmarkNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmarkNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmarkNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmarkNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmarkNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmarkNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmarkNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmarkNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmarkNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmarkNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmarkNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmarkNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmarkNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmarkNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmarkNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmarkNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmarkNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmarkNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmarkNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmarkNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmarkNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmarkNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmarkNet\"},{\"kind\":128,\"name\":\"FaceLandmark68Net\",\"url\":\"classes/FaceLandmark68Net.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmark68Net.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmark68Net.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmark68Net.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmark68Net.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmark68Net.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmark68Net.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmark68Net.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmark68Net.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmark68Net.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68Net.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68Net.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmark68Net.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmark68Net.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68Net.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmark68Net.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmark68Net.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmark68Net.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmark68Net.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmark68Net.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmark68Net.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmark68Net.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmark68Net.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmark68Net.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmark68Net.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmark68Net.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmark68Net.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmark68Net.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmark68Net.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68Net\"},{\"kind\":128,\"name\":\"FaceLandmark68TinyNet\",\"url\":\"classes/FaceLandmark68TinyNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceLandmark68TinyNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"postProcess\",\"url\":\"classes/FaceLandmark68TinyNet.html#postProcess\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceLandmark68TinyNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceLandmark68TinyNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"detectLandmarks\",\"url\":\"classes/FaceLandmark68TinyNet.html#detectLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"faceFeatureExtractor\",\"url\":\"classes/FaceLandmark68TinyNet.html#faceFeatureExtractor\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"runNet\",\"url\":\"classes/FaceLandmark68TinyNet.html#runNet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceLandmark68TinyNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadClassifierParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"extractClassifierParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type\",\"classes\":\"tsd-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams\"},{\"kind\":1024,\"name\":\"params\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type.params-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractClassifierParams.extractClassifierParams-1.__type.paramMappings-2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"FaceLandmark68TinyNet.extractClassifierParams.extractClassifierParams.__type\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceLandmark68TinyNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceLandmark68TinyNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceLandmark68TinyNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceLandmark68TinyNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceLandmark68TinyNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceLandmark68TinyNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceLandmark68TinyNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceLandmark68TinyNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceLandmark68TinyNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceLandmark68TinyNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceLandmark68TinyNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceLandmark68TinyNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceLandmark68TinyNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceLandmark68TinyNet\"},{\"kind\":64,\"name\":\"createFaceRecognitionNet\",\"url\":\"functions/createFaceRecognitionNet.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"FaceRecognitionNet\",\"url\":\"classes/FaceRecognitionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceRecognitionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceRecognitionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceRecognitionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"computeFaceDescriptor\",\"url\":\"classes/FaceRecognitionNet.html#computeFaceDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceRecognitionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceRecognitionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceRecognitionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceRecognitionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceRecognitionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceRecognitionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceRecognitionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceRecognitionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceRecognitionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceRecognitionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceRecognitionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceRecognitionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceRecognitionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceRecognitionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceRecognitionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceRecognitionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceRecognitionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceRecognitionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceRecognitionNet\"},{\"kind\":64,\"name\":\"extendWithFaceDescriptor\",\"url\":\"functions/extendWithFaceDescriptor.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceDescriptor\",\"url\":\"types/WithFaceDescriptor.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceDetection\",\"url\":\"functions/isWithFaceDetection.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceDetection\",\"url\":\"functions/extendWithFaceDetection.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceDetection\",\"url\":\"types/WithFaceDetection.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceExpressions\",\"url\":\"functions/isWithFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceExpressions\",\"url\":\"functions/extendWithFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceExpressions\",\"url\":\"types/WithFaceExpressions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithFaceLandmarks\",\"url\":\"functions/isWithFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithFaceLandmarks\",\"url\":\"functions/extendWithFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithFaceLandmarks\",\"url\":\"types/WithFaceLandmarks.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithAge\",\"url\":\"functions/isWithAge.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithAge\",\"url\":\"functions/extendWithAge.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithAge\",\"url\":\"types/WithAge.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"isWithGender\",\"url\":\"functions/isWithGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"extendWithGender\",\"url\":\"functions/extendWithGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"WithGender\",\"url\":\"types/WithGender.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"allFacesSsdMobilenetv1\",\"url\":\"functions/allFacesSsdMobilenetv1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"allFacesTinyYolov2\",\"url\":\"functions/allFacesTinyYolov2.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"allFaces\",\"url\":\"functions/allFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"ComposableTask\",\"url\":\"classes/ComposableTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComposableTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComposableTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComposableTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComposableTask\"},{\"kind\":128,\"name\":\"ComputeFaceDescriptorsTaskBase\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeFaceDescriptorsTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeFaceDescriptorsTaskBase\"},{\"kind\":128,\"name\":\"ComputeAllFaceDescriptorsTask\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeAllFaceDescriptorsTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeAllFaceDescriptorsTask\"},{\"kind\":128,\"name\":\"ComputeSingleFaceDescriptorTask\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/ComputeSingleFaceDescriptorTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"ComputeSingleFaceDescriptorTask\"},{\"kind\":64,\"name\":\"detectSingleFace\",\"url\":\"functions/detectSingleFace.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectAllFaces\",\"url\":\"functions/detectAllFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"DetectFacesTaskBase\",\"url\":\"classes/DetectFacesTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectFacesTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectFacesTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectFacesTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFacesTaskBase\"},{\"kind\":128,\"name\":\"DetectAllFacesTask\",\"url\":\"classes/DetectAllFacesTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectAllFacesTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectAllFacesTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withFaceLandmarks\",\"url\":\"classes/DetectAllFacesTask.html#withFaceLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectAllFacesTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectAllFacesTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectAllFacesTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFacesTask\"},{\"kind\":128,\"name\":\"DetectSingleFaceTask\",\"url\":\"classes/DetectSingleFaceTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectSingleFaceTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectSingleFaceTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withFaceLandmarks\",\"url\":\"classes/DetectSingleFaceTask.html#withFaceLandmarks\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectSingleFaceTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectSingleFaceTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectSingleFaceTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceTask\"},{\"kind\":128,\"name\":\"DetectFaceLandmarksTaskBase\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectFaceLandmarksTaskBase.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectFaceLandmarksTaskBase\"},{\"kind\":128,\"name\":\"DetectAllFaceLandmarksTask\",\"url\":\"classes/DetectAllFaceLandmarksTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceDescriptors\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#withFaceDescriptors\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectAllFaceLandmarksTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectAllFaceLandmarksTask\"},{\"kind\":128,\"name\":\"DetectSingleFaceLandmarksTask\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"run\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#run\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceExpressions\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withFaceExpressions\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withAgeAndGender\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withAgeAndGender\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"withFaceDescriptor\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#withFaceDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":2048,\"name\":\"then\",\"url\":\"classes/DetectSingleFaceLandmarksTask.html#then\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"DetectSingleFaceLandmarksTask\"},{\"kind\":128,\"name\":\"FaceMatcher\",\"url\":\"classes/FaceMatcher.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":2048,\"name\":\"fromJSON\",\"url\":\"classes/FaceMatcher.html#fromJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceMatcher.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":262144,\"name\":\"labeledDescriptors\",\"url\":\"classes/FaceMatcher.html#labeledDescriptors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":262144,\"name\":\"distanceThreshold\",\"url\":\"classes/FaceMatcher.html#distanceThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"computeMeanDistance\",\"url\":\"classes/FaceMatcher.html#computeMeanDistance\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"matchDescriptor\",\"url\":\"classes/FaceMatcher.html#matchDescriptor\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"findBestMatch\",\"url\":\"classes/FaceMatcher.html#findBestMatch\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":2048,\"name\":\"toJSON\",\"url\":\"classes/FaceMatcher.html#toJSON\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"FaceMatcher\"},{\"kind\":32,\"name\":\"nets\",\"url\":\"variables/nets.html\",\"classes\":\"tsd-kind-variable\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"variables/nets.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-variable\",\"parent\":\"nets\"},{\"kind\":1024,\"name\":\"ssdMobilenetv1\",\"url\":\"variables/nets.html#__type.ssdMobilenetv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"tinyFaceDetector\",\"url\":\"variables/nets.html#__type.tinyFaceDetector\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"tinyYolov2\",\"url\":\"variables/nets.html#__type.tinyYolov2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceLandmark68Net\",\"url\":\"variables/nets.html#__type.faceLandmark68Net\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceLandmark68TinyNet\",\"url\":\"variables/nets.html#__type.faceLandmark68TinyNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceRecognitionNet\",\"url\":\"variables/nets.html#__type.faceRecognitionNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"faceExpressionNet\",\"url\":\"variables/nets.html#__type.faceExpressionNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":1024,\"name\":\"ageGenderNet\",\"url\":\"variables/nets.html#__type.ageGenderNet\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"nets.__type\"},{\"kind\":64,\"name\":\"ssdMobilenetv1\",\"url\":\"functions/ssdMobilenetv1-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"tinyFaceDetector\",\"url\":\"functions/tinyFaceDetector-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"tinyYolov2\",\"url\":\"functions/tinyYolov2-1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectFaceLandmarks\",\"url\":\"functions/detectFaceLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectFaceLandmarksTiny\",\"url\":\"functions/detectFaceLandmarksTiny.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"computeFaceDescriptor\",\"url\":\"functions/computeFaceDescriptor.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"recognizeFaceExpressions\",\"url\":\"functions/recognizeFaceExpressions.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"predictAgeAndGender\",\"url\":\"functions/predictAgeAndGender.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadSsdMobilenetv1Model\",\"url\":\"functions/loadSsdMobilenetv1Model.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadTinyFaceDetectorModel\",\"url\":\"functions/loadTinyFaceDetectorModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadTinyYolov2Model\",\"url\":\"functions/loadTinyYolov2Model.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceLandmarkModel\",\"url\":\"functions/loadFaceLandmarkModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceLandmarkTinyModel\",\"url\":\"functions/loadFaceLandmarkTinyModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceRecognitionModel\",\"url\":\"functions/loadFaceRecognitionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceExpressionModel\",\"url\":\"functions/loadFaceExpressionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadAgeGenderModel\",\"url\":\"functions/loadAgeGenderModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"loadFaceDetectionModel\",\"url\":\"functions/loadFaceDetectionModel.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"locateFaces\",\"url\":\"functions/locateFaces.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"detectLandmarks\",\"url\":\"functions/detectLandmarks.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"FaceDetectionOptions\",\"url\":\"types/FaceDetectionOptions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":4194304,\"name\":\"FaceDetectionFunction\",\"url\":\"types/FaceDetectionFunction.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/FaceDetectionFunction.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"FaceDetectionFunction\"},{\"kind\":64,\"name\":\"sigmoid\",\"url\":\"functions/sigmoid.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"inverseSigmoid\",\"url\":\"functions/inverseSigmoid.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"iou\",\"url\":\"functions/iou.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"minBbox\",\"url\":\"functions/minBbox.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"nonMaxSuppression\",\"url\":\"functions/nonMaxSuppression.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"normalize\",\"url\":\"functions/normalize.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"padToSquare\",\"url\":\"functions/padToSquare.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"shuffleArray\",\"url\":\"functions/shuffleArray.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createSsdMobilenetv1\",\"url\":\"functions/createSsdMobilenetv1.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":64,\"name\":\"createFaceDetectionNet\",\"url\":\"functions/createFaceDetectionNet.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"FaceDetectionNet\",\"url\":\"classes/FaceDetectionNet.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/FaceDetectionNet.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/FaceDetectionNet.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/FaceDetectionNet.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/FaceDetectionNet.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/FaceDetectionNet.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/FaceDetectionNet.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/FaceDetectionNet.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/FaceDetectionNet.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/FaceDetectionNet.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/FaceDetectionNet.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/FaceDetectionNet.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/FaceDetectionNet.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/FaceDetectionNet.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/FaceDetectionNet.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/FaceDetectionNet.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/FaceDetectionNet.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/FaceDetectionNet.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/FaceDetectionNet.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/FaceDetectionNet.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/FaceDetectionNet.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/FaceDetectionNet.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/FaceDetectionNet.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"FaceDetectionNet\"},{\"kind\":128,\"name\":\"SsdMobilenetv1\",\"url\":\"classes/SsdMobilenetv1.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/SsdMobilenetv1.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/SsdMobilenetv1.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/SsdMobilenetv1.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/SsdMobilenetv1.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/SsdMobilenetv1.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/SsdMobilenetv1.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/SsdMobilenetv1.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/SsdMobilenetv1.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/SsdMobilenetv1.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/SsdMobilenetv1.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/SsdMobilenetv1.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/SsdMobilenetv1.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/SsdMobilenetv1.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/SsdMobilenetv1.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/SsdMobilenetv1.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/SsdMobilenetv1.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/SsdMobilenetv1.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/SsdMobilenetv1.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/SsdMobilenetv1.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/SsdMobilenetv1.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/SsdMobilenetv1.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/SsdMobilenetv1.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"SsdMobilenetv1\"},{\"kind\":256,\"name\":\"ISsdMobilenetv1Options\",\"url\":\"interfaces/ISsdMobilenetv1Options.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"minConfidence\",\"url\":\"interfaces/ISsdMobilenetv1Options.html#minConfidence\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ISsdMobilenetv1Options\"},{\"kind\":1024,\"name\":\"maxResults\",\"url\":\"interfaces/ISsdMobilenetv1Options.html#maxResults\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ISsdMobilenetv1Options\"},{\"kind\":128,\"name\":\"SsdMobilenetv1Options\",\"url\":\"classes/SsdMobilenetv1Options.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/SsdMobilenetv1Options.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":262144,\"name\":\"minConfidence\",\"url\":\"classes/SsdMobilenetv1Options.html#minConfidence\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":262144,\"name\":\"maxResults\",\"url\":\"classes/SsdMobilenetv1Options.html#maxResults\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"SsdMobilenetv1Options\"},{\"kind\":64,\"name\":\"createTinyFaceDetector\",\"url\":\"functions/createTinyFaceDetector.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"TinyFaceDetector\",\"url\":\"classes/TinyFaceDetector.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":1024,\"name\":\"DEFAULT_FILTER_SIZES\",\"url\":\"classes/TinyFaceDetector.html#DEFAULT_FILTER_SIZES\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyFaceDetector.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"anchors\",\"url\":\"classes/TinyFaceDetector.html#anchors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/TinyFaceDetector.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"config\",\"url\":\"classes/TinyFaceDetector.html#config\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"withClassScores\",\"url\":\"classes/TinyFaceDetector.html#withClassScores\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"boxEncodingSize\",\"url\":\"classes/TinyFaceDetector.html#boxEncodingSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"runTinyYolov2\",\"url\":\"classes/TinyFaceDetector.html#runTinyYolov2\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"runMobilenet\",\"url\":\"classes/TinyFaceDetector.html#runMobilenet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/TinyFaceDetector.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/TinyFaceDetector.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"detect\",\"url\":\"classes/TinyFaceDetector.html#detect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/TinyFaceDetector.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/TinyFaceDetector.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/TinyFaceDetector.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/TinyFaceDetector.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/TinyFaceDetector.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/TinyFaceDetector.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/TinyFaceDetector.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/TinyFaceDetector.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/TinyFaceDetector.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/TinyFaceDetector.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/TinyFaceDetector.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/TinyFaceDetector.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/TinyFaceDetector.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/TinyFaceDetector.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/TinyFaceDetector.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/TinyFaceDetector.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/TinyFaceDetector.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/TinyFaceDetector.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetector\"},{\"kind\":4194304,\"name\":\"ITinyFaceDetectorOptions\",\"url\":\"types/ITinyFaceDetectorOptions.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":128,\"name\":\"TinyFaceDetectorOptions\",\"url\":\"classes/TinyFaceDetectorOptions.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyFaceDetectorOptions.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/TinyFaceDetectorOptions.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":262144,\"name\":\"scoreThreshold\",\"url\":\"classes/TinyFaceDetectorOptions.html#scoreThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyFaceDetectorOptions\"},{\"kind\":64,\"name\":\"createTinyYolov2\",\"url\":\"functions/createTinyYolov2.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"TinyYolov2\",\"url\":\"classes/TinyYolov2.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":1024,\"name\":\"DEFAULT_FILTER_SIZES\",\"url\":\"classes/TinyYolov2.html#DEFAULT_FILTER_SIZES\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyYolov2.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"withSeparableConvs\",\"url\":\"classes/TinyYolov2.html#withSeparableConvs\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"anchors\",\"url\":\"classes/TinyYolov2.html#anchors\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"locateFaces\",\"url\":\"classes/TinyYolov2.html#locateFaces\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"config\",\"url\":\"classes/TinyYolov2.html#config\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"withClassScores\",\"url\":\"classes/TinyYolov2.html#withClassScores\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"boxEncodingSize\",\"url\":\"classes/TinyYolov2.html#boxEncodingSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"runTinyYolov2\",\"url\":\"classes/TinyYolov2.html#runTinyYolov2\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"runMobilenet\",\"url\":\"classes/TinyYolov2.html#runMobilenet\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"forwardInput\",\"url\":\"classes/TinyYolov2.html#forwardInput\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"forward\",\"url\":\"classes/TinyYolov2.html#forward\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"detect\",\"url\":\"classes/TinyYolov2.html#detect\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/TinyYolov2.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/TinyYolov2.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/TinyYolov2.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/TinyYolov2.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/TinyYolov2.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/TinyYolov2.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/TinyYolov2.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/TinyYolov2.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/TinyYolov2.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/TinyYolov2.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/TinyYolov2.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/TinyYolov2.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/TinyYolov2.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/TinyYolov2.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/TinyYolov2.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/TinyYolov2.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/TinyYolov2.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/TinyYolov2.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class tsd-is-inherited\",\"parent\":\"TinyYolov2\"},{\"kind\":256,\"name\":\"ITinyYolov2Options\",\"url\":\"interfaces/ITinyYolov2Options.html\",\"classes\":\"tsd-kind-interface\"},{\"kind\":1024,\"name\":\"inputSize\",\"url\":\"interfaces/ITinyYolov2Options.html#inputSize\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ITinyYolov2Options\"},{\"kind\":1024,\"name\":\"scoreThreshold\",\"url\":\"interfaces/ITinyYolov2Options.html#scoreThreshold\",\"classes\":\"tsd-kind-property tsd-parent-kind-interface\",\"parent\":\"ITinyYolov2Options\"},{\"kind\":128,\"name\":\"TinyYolov2Options\",\"url\":\"classes/TinyYolov2Options.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/TinyYolov2Options.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":262144,\"name\":\"inputSize\",\"url\":\"classes/TinyYolov2Options.html#inputSize\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":262144,\"name\":\"scoreThreshold\",\"url\":\"classes/TinyYolov2Options.html#scoreThreshold\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"TinyYolov2Options\"},{\"kind\":64,\"name\":\"validateConfig\",\"url\":\"functions/validateConfig.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":4194304,\"name\":\"TinyYolov2Config\",\"url\":\"types/TinyYolov2Config.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/TinyYolov2Config.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"TinyYolov2Config\"},{\"kind\":1024,\"name\":\"withSeparableConvs\",\"url\":\"types/TinyYolov2Config.html#__type.withSeparableConvs\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"iouThreshold\",\"url\":\"types/TinyYolov2Config.html#__type.iouThreshold\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"anchors\",\"url\":\"types/TinyYolov2Config.html#__type.anchors\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"classes\",\"url\":\"types/TinyYolov2Config.html#__type.classes\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"meanRgb\",\"url\":\"types/TinyYolov2Config.html#__type.meanRgb\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"withClassScores\",\"url\":\"types/TinyYolov2Config.html#__type.withClassScores\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"filterSizes\",\"url\":\"types/TinyYolov2Config.html#__type.filterSizes\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":1024,\"name\":\"isFirstLayerConv2d\",\"url\":\"types/TinyYolov2Config.html#__type.isFirstLayerConv2d\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"TinyYolov2Config.__type\"},{\"kind\":4194304,\"name\":\"BatchNorm\",\"url\":\"types/BatchNorm.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/BatchNorm.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"BatchNorm\"},{\"kind\":1024,\"name\":\"sub\",\"url\":\"types/BatchNorm.html#__type.sub\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BatchNorm.__type\"},{\"kind\":1024,\"name\":\"truediv\",\"url\":\"types/BatchNorm.html#__type.truediv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"BatchNorm.__type\"},{\"kind\":4194304,\"name\":\"ConvWithBatchNorm\",\"url\":\"types/ConvWithBatchNorm.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/ConvWithBatchNorm.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"ConvWithBatchNorm\"},{\"kind\":1024,\"name\":\"conv\",\"url\":\"types/ConvWithBatchNorm.html#__type.conv\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"ConvWithBatchNorm.__type\"},{\"kind\":1024,\"name\":\"bn\",\"url\":\"types/ConvWithBatchNorm.html#__type.bn\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"ConvWithBatchNorm.__type\"},{\"kind\":4194304,\"name\":\"MobilenetParams\",\"url\":\"types/MobilenetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/MobilenetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"MobilenetParams\"},{\"kind\":1024,\"name\":\"conv0\",\"url\":\"types/MobilenetParams.html#__type.conv0\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv1\",\"url\":\"types/MobilenetParams.html#__type.conv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv2\",\"url\":\"types/MobilenetParams.html#__type.conv2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv3\",\"url\":\"types/MobilenetParams.html#__type.conv3\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv4\",\"url\":\"types/MobilenetParams.html#__type.conv4\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv5\",\"url\":\"types/MobilenetParams.html#__type.conv5\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv6\",\"url\":\"types/MobilenetParams.html#__type.conv6\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv7\",\"url\":\"types/MobilenetParams.html#__type.conv7\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":1024,\"name\":\"conv8\",\"url\":\"types/MobilenetParams.html#__type.conv8\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"MobilenetParams.__type\"},{\"kind\":4194304,\"name\":\"DefaultTinyYolov2NetParams\",\"url\":\"types/DefaultTinyYolov2NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":65536,\"name\":\"__type\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type\",\"classes\":\"tsd-kind-type-literal tsd-parent-kind-type-alias\",\"parent\":\"DefaultTinyYolov2NetParams\"},{\"kind\":1024,\"name\":\"conv0\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv0\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv1\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv1\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv2\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv2\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv3\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv3\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv4\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv4\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv5\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv5\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv6\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv6\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv7\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv7\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":1024,\"name\":\"conv8\",\"url\":\"types/DefaultTinyYolov2NetParams.html#__type.conv8\",\"classes\":\"tsd-kind-property tsd-parent-kind-type-literal\",\"parent\":\"DefaultTinyYolov2NetParams.__type\"},{\"kind\":4194304,\"name\":\"TinyYolov2NetParams\",\"url\":\"types/TinyYolov2NetParams.html\",\"classes\":\"tsd-kind-type-alias\"},{\"kind\":64,\"name\":\"euclideanDistance\",\"url\":\"functions/euclideanDistance.html\",\"classes\":\"tsd-kind-function\"},{\"kind\":128,\"name\":\"NeuralNetwork\",\"url\":\"classes/NeuralNetwork.html\",\"classes\":\"tsd-kind-class\"},{\"kind\":512,\"name\":\"constructor\",\"url\":\"classes/NeuralNetwork.html#constructor\",\"classes\":\"tsd-kind-constructor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":1024,\"name\":\"_name\",\"url\":\"classes/NeuralNetwork.html#_name\",\"classes\":\"tsd-kind-property tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"params\",\"url\":\"classes/NeuralNetwork.html#params\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"paramMappings\",\"url\":\"classes/NeuralNetwork.html#paramMappings\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":262144,\"name\":\"isLoaded\",\"url\":\"classes/NeuralNetwork.html#isLoaded\",\"classes\":\"tsd-kind-accessor tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getParamFromPath\",\"url\":\"classes/NeuralNetwork.html#getParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"reassignParamFromPath\",\"url\":\"classes/NeuralNetwork.html#reassignParamFromPath\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getParamList\",\"url\":\"classes/NeuralNetwork.html#getParamList\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getTrainableParams\",\"url\":\"classes/NeuralNetwork.html#getTrainableParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"getFrozenParams\",\"url\":\"classes/NeuralNetwork.html#getFrozenParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"variable\",\"url\":\"classes/NeuralNetwork.html#variable\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"freeze\",\"url\":\"classes/NeuralNetwork.html#freeze\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"dispose\",\"url\":\"classes/NeuralNetwork.html#dispose\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"serializeParams\",\"url\":\"classes/NeuralNetwork.html#serializeParams\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"load\",\"url\":\"classes/NeuralNetwork.html#load\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromUri\",\"url\":\"classes/NeuralNetwork.html#loadFromUri\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromDisk\",\"url\":\"classes/NeuralNetwork.html#loadFromDisk\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"loadFromWeightMap\",\"url\":\"classes/NeuralNetwork.html#loadFromWeightMap\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":2048,\"name\":\"extractWeights\",\"url\":\"classes/NeuralNetwork.html#extractWeights\",\"classes\":\"tsd-kind-method tsd-parent-kind-class\",\"parent\":\"NeuralNetwork\"},{\"kind\":64,\"name\":\"resizeResults\",\"url\":\"functions/resizeResults.html\",\"classes\":\"tsd-kind-function\"}],\"index\":{\"version\":\"2.3.9\",\"fields\":[\"name\",\"comment\"],\"fieldVectors\":[[\"name/0\",[0,64.963]],[\"comment/0\",[]],[\"name/1\",[1,64.963]],[\"comment/1\",[]],[\"name/2\",[2,53.977]],[\"comment/2\",[]],[\"name/3\",[3,64.963]],[\"comment/3\",[]],[\"name/4\",[4,64.963]],[\"comment/4\",[]],[\"name/5\",[5,64.963]],[\"comment/5\",[]],[\"name/6\",[6,64.963]],[\"comment/6\",[]],[\"name/7\",[7,64.963]],[\"comment/7\",[]],[\"name/8\",[8,64.963]],[\"comment/8\",[]],[\"name/9\",[9,59.854]],[\"comment/9\",[]],[\"name/10\",[10,53.977]],[\"comment/10\",[]],[\"name/11\",[11,59.854]],[\"comment/11\",[]],[\"name/12\",[12,48.868]],[\"comment/12\",[]],[\"name/13\",[13,64.963]],[\"comment/13\",[]],[\"name/14\",[14,30.41]],[\"comment/14\",[]],[\"name/15\",[9,59.854]],[\"comment/15\",[]],[\"name/16\",[10,53.977]],[\"comment/16\",[]],[\"name/17\",[11,59.854]],[\"comment/17\",[]],[\"name/18\",[12,48.868]],[\"comment/18\",[]],[\"name/19\",[15,64.963]],[\"comment/19\",[]],[\"name/20\",[14,30.41]],[\"comment/20\",[]],[\"name/21\",[16,51.97]],[\"comment/21\",[]],[\"name/22\",[17,56.49]],[\"comment/22\",[]],[\"name/23\",[2,53.977]],[\"comment/23\",[]],[\"name/24\",[18,59.854]],[\"comment/24\",[]],[\"name/25\",[19,64.963]],[\"comment/25\",[]],[\"name/26\",[20,59.854]],[\"comment/26\",[]],[\"name/27\",[21,59.854]],[\"comment/27\",[]],[\"name/28\",[10,53.977]],[\"comment/28\",[]],[\"name/29\",[22,59.854]],[\"comment/29\",[]],[\"name/30\",[23,59.854]],[\"comment/30\",[]],[\"name/31\",[24,59.854]],[\"comment/31\",[]],[\"name/32\",[25,64.963]],[\"comment/32\",[]],[\"name/33\",[14,30.41]],[\"comment/33\",[]],[\"name/34\",[20,59.854]],[\"comment/34\",[]],[\"name/35\",[21,59.854]],[\"comment/35\",[]],[\"name/36\",[10,53.977]],[\"comment/36\",[]],[\"name/37\",[22,59.854]],[\"comment/37\",[]],[\"name/38\",[23,59.854]],[\"comment/38\",[]],[\"name/39\",[24,59.854]],[\"comment/39\",[]],[\"name/40\",[18,59.854]],[\"comment/40\",[]],[\"name/41\",[14,30.41]],[\"comment/41\",[]],[\"name/42\",[26,59.854]],[\"comment/42\",[]],[\"name/43\",[17,56.49]],[\"comment/43\",[]],[\"name/44\",[2,53.977]],[\"comment/44\",[]],[\"name/45\",[27,64.963]],[\"comment/45\",[]],[\"name/46\",[28,56.49]],[\"comment/46\",[]],[\"name/47\",[29,64.963]],[\"comment/47\",[]],[\"name/48\",[30,64.963]],[\"comment/48\",[]],[\"name/49\",[31,64.963]],[\"comment/49\",[]],[\"name/50\",[32,64.963]],[\"comment/50\",[]],[\"name/51\",[33,64.963]],[\"comment/51\",[]],[\"name/52\",[28,56.49]],[\"comment/52\",[]],[\"name/53\",[34,59.854]],[\"comment/53\",[]],[\"name/54\",[35,59.854]],[\"comment/54\",[]],[\"name/55\",[36,59.854]],[\"comment/55\",[]],[\"name/56\",[37,59.854]],[\"comment/56\",[]],[\"name/57\",[38,59.854]],[\"comment/57\",[]],[\"name/58\",[39,64.963]],[\"comment/58\",[]],[\"name/59\",[14,30.41]],[\"comment/59\",[]],[\"name/60\",[28,56.49]],[\"comment/60\",[]],[\"name/61\",[34,59.854]],[\"comment/61\",[]],[\"name/62\",[35,59.854]],[\"comment/62\",[]],[\"name/63\",[36,59.854]],[\"comment/63\",[]],[\"name/64\",[37,59.854]],[\"comment/64\",[]],[\"name/65\",[38,59.854]],[\"comment/65\",[]],[\"name/66\",[40,64.963]],[\"comment/66\",[]],[\"name/67\",[14,30.41]],[\"comment/67\",[]],[\"name/68\",[41,64.963]],[\"comment/68\",[]],[\"name/69\",[42,64.963]],[\"comment/69\",[]],[\"name/70\",[17,56.49]],[\"comment/70\",[]],[\"name/71\",[43,64.963]],[\"comment/71\",[]],[\"name/72\",[44,64.963]],[\"comment/72\",[]],[\"name/73\",[45,64.963]],[\"comment/73\",[]],[\"name/74\",[2,53.977]],[\"comment/74\",[]],[\"name/75\",[46,64.963]],[\"comment/75\",[]],[\"name/76\",[47,64.963]],[\"comment/76\",[]],[\"name/77\",[48,64.963]],[\"comment/77\",[]],[\"name/78\",[49,64.963]],[\"comment/78\",[]],[\"name/79\",[50,64.963]],[\"comment/79\",[]],[\"name/80\",[51,64.963]],[\"comment/80\",[]],[\"name/81\",[52,64.963]],[\"comment/81\",[]],[\"name/82\",[53,64.963]],[\"comment/82\",[]],[\"name/83\",[54,50.299]],[\"comment/83\",[]],[\"name/84\",[55,64.963]],[\"comment/84\",[]],[\"name/85\",[56,64.963]],[\"comment/85\",[]],[\"name/86\",[57,64.963]],[\"comment/86\",[]],[\"name/87\",[58,64.963]],[\"comment/87\",[]],[\"name/88\",[59,64.963]],[\"comment/88\",[]],[\"name/89\",[60,64.963]],[\"comment/89\",[]],[\"name/90\",[61,59.854]],[\"comment/90\",[]],[\"name/91\",[14,30.41]],[\"comment/91\",[]],[\"name/92\",[62,51.97]],[\"comment/92\",[]],[\"name/93\",[63,51.97]],[\"comment/93\",[]],[\"name/94\",[64,45.504]],[\"comment/94\",[]],[\"name/95\",[65,45.504]],[\"comment/95\",[]],[\"name/96\",[66,59.854]],[\"comment/96\",[]],[\"name/97\",[67,44.594]],[\"comment/97\",[]],[\"name/98\",[68,51.97]],[\"comment/98\",[]],[\"name/99\",[69,51.97]],[\"comment/99\",[]],[\"name/100\",[70,33.608]],[\"comment/100\",[]],[\"name/101\",[71,40.984]],[\"comment/101\",[]],[\"name/102\",[72,40.984]],[\"comment/102\",[]],[\"name/103\",[73,44.594]],[\"comment/103\",[]],[\"name/104\",[71,40.984]],[\"comment/104\",[]],[\"name/105\",[72,40.984]],[\"comment/105\",[]],[\"name/106\",[74,44.594]],[\"comment/106\",[]],[\"name/107\",[75,44.594]],[\"comment/107\",[]],[\"name/108\",[76,44.594]],[\"comment/108\",[]],[\"name/109\",[77,44.594]],[\"comment/109\",[]],[\"name/110\",[78,44.594]],[\"comment/110\",[]],[\"name/111\",[79,44.594]],[\"comment/111\",[]],[\"name/112\",[80,44.594]],[\"comment/112\",[]],[\"name/113\",[81,44.594]],[\"comment/113\",[]],[\"name/114\",[82,44.594]],[\"comment/114\",[]],[\"name/115\",[83,44.594]],[\"comment/115\",[]],[\"name/116\",[84,44.594]],[\"comment/116\",[]],[\"name/117\",[85,44.594]],[\"comment/117\",[]],[\"name/118\",[86,44.594]],[\"comment/118\",[]],[\"name/119\",[87,44.594]],[\"comment/119\",[]],[\"name/120\",[88,53.977]],[\"comment/120\",[]],[\"name/121\",[89,64.963]],[\"comment/121\",[]],[\"name/122\",[90,64.963]],[\"comment/122\",[]],[\"name/123\",[91,64.963]],[\"comment/123\",[]],[\"name/124\",[70,33.608]],[\"comment/124\",[]],[\"name/125\",[92,56.49]],[\"comment/125\",[]],[\"name/126\",[88,53.977]],[\"comment/126\",[]],[\"name/127\",[93,64.963]],[\"comment/127\",[]],[\"name/128\",[94,64.963]],[\"comment/128\",[]],[\"name/129\",[70,33.608]],[\"comment/129\",[]],[\"name/130\",[92,56.49]],[\"comment/130\",[]],[\"name/131\",[88,53.977]],[\"comment/131\",[]],[\"name/132\",[95,64.963]],[\"comment/132\",[]],[\"name/133\",[70,33.608]],[\"comment/133\",[]],[\"name/134\",[96,64.963]],[\"comment/134\",[]],[\"name/135\",[70,33.608]],[\"comment/135\",[]],[\"name/136\",[92,56.49]],[\"comment/136\",[]],[\"name/137\",[88,53.977]],[\"comment/137\",[]],[\"name/138\",[97,64.963]],[\"comment/138\",[]],[\"name/139\",[98,50.299]],[\"comment/139\",[]],[\"name/140\",[99,50.299]],[\"comment/140\",[]],[\"name/141\",[100,50.299]],[\"comment/141\",[]],[\"name/142\",[101,50.299]],[\"comment/142\",[]],[\"name/143\",[102,64.963]],[\"comment/143\",[]],[\"name/144\",[103,51.97]],[\"comment/144\",[]],[\"name/145\",[104,51.97]],[\"comment/145\",[]],[\"name/146\",[14,30.41]],[\"comment/146\",[]],[\"name/147\",[105,42.99]],[\"comment/147\",[]],[\"name/148\",[106,42.99]],[\"comment/148\",[]],[\"name/149\",[107,46.504]],[\"comment/149\",[]],[\"name/150\",[108,46.504]],[\"comment/150\",[]],[\"name/151\",[98,50.299]],[\"comment/151\",[]],[\"name/152\",[99,50.299]],[\"comment/152\",[]],[\"name/153\",[100,50.299]],[\"comment/153\",[]],[\"name/154\",[101,50.299]],[\"comment/154\",[]],[\"name/155\",[109,51.97]],[\"comment/155\",[]],[\"name/156\",[110,51.97]],[\"comment/156\",[]],[\"name/157\",[111,51.97]],[\"comment/157\",[]],[\"name/158\",[112,51.97]],[\"comment/158\",[]],[\"name/159\",[113,51.97]],[\"comment/159\",[]],[\"name/160\",[54,50.299]],[\"comment/160\",[]],[\"name/161\",[114,50.299]],[\"comment/161\",[]],[\"name/162\",[115,51.97]],[\"comment/162\",[]],[\"name/163\",[116,51.97]],[\"comment/163\",[]],[\"name/164\",[117,51.97]],[\"comment/164\",[]],[\"name/165\",[118,51.97]],[\"comment/165\",[]],[\"name/166\",[119,46.504]],[\"comment/166\",[]],[\"name/167\",[120,51.97]],[\"comment/167\",[]],[\"name/168\",[70,33.608]],[\"comment/168\",[]],[\"name/169\",[121,51.97]],[\"comment/169\",[]],[\"name/170\",[122,51.97]],[\"comment/170\",[]],[\"name/171\",[123,51.97]],[\"comment/171\",[]],[\"name/172\",[124,51.97]],[\"comment/172\",[]],[\"name/173\",[106,42.99]],[\"comment/173\",[]],[\"name/174\",[125,51.97]],[\"comment/174\",[]],[\"name/175\",[105,42.99]],[\"comment/175\",[]],[\"name/176\",[126,51.97]],[\"comment/176\",[]],[\"name/177\",[127,51.97]],[\"comment/177\",[]],[\"name/178\",[128,51.97]],[\"comment/178\",[]],[\"name/179\",[129,51.97]],[\"comment/179\",[]],[\"name/180\",[16,51.97]],[\"comment/180\",[]],[\"name/181\",[103,51.97]],[\"comment/181\",[]],[\"name/182\",[104,51.97]],[\"comment/182\",[]],[\"name/183\",[14,30.41]],[\"comment/183\",[]],[\"name/184\",[105,42.99]],[\"comment/184\",[]],[\"name/185\",[106,42.99]],[\"comment/185\",[]],[\"name/186\",[107,46.504]],[\"comment/186\",[]],[\"name/187\",[108,46.504]],[\"comment/187\",[]],[\"name/188\",[98,50.299]],[\"comment/188\",[]],[\"name/189\",[99,50.299]],[\"comment/189\",[]],[\"name/190\",[100,50.299]],[\"comment/190\",[]],[\"name/191\",[101,50.299]],[\"comment/191\",[]],[\"name/192\",[109,51.97]],[\"comment/192\",[]],[\"name/193\",[110,51.97]],[\"comment/193\",[]],[\"name/194\",[111,51.97]],[\"comment/194\",[]],[\"name/195\",[112,51.97]],[\"comment/195\",[]],[\"name/196\",[113,51.97]],[\"comment/196\",[]],[\"name/197\",[54,50.299]],[\"comment/197\",[]],[\"name/198\",[114,50.299]],[\"comment/198\",[]],[\"name/199\",[115,51.97]],[\"comment/199\",[]],[\"name/200\",[116,51.97]],[\"comment/200\",[]],[\"name/201\",[117,51.97]],[\"comment/201\",[]],[\"name/202\",[118,51.97]],[\"comment/202\",[]],[\"name/203\",[119,46.504]],[\"comment/203\",[]],[\"name/204\",[120,51.97]],[\"comment/204\",[]],[\"name/205\",[70,33.608]],[\"comment/205\",[]],[\"name/206\",[121,51.97]],[\"comment/206\",[]],[\"name/207\",[122,51.97]],[\"comment/207\",[]],[\"name/208\",[123,51.97]],[\"comment/208\",[]],[\"name/209\",[124,51.97]],[\"comment/209\",[]],[\"name/210\",[106,42.99]],[\"comment/210\",[]],[\"name/211\",[125,51.97]],[\"comment/211\",[]],[\"name/212\",[105,42.99]],[\"comment/212\",[]],[\"name/213\",[126,51.97]],[\"comment/213\",[]],[\"name/214\",[127,51.97]],[\"comment/214\",[]],[\"name/215\",[128,51.97]],[\"comment/215\",[]],[\"name/216\",[129,51.97]],[\"comment/216\",[]],[\"name/217\",[130,64.963]],[\"comment/217\",[]],[\"name/218\",[107,46.504]],[\"comment/218\",[]],[\"name/219\",[108,46.504]],[\"comment/219\",[]],[\"name/220\",[131,64.963]],[\"comment/220\",[]],[\"name/221\",[14,30.41]],[\"comment/221\",[]],[\"name/222\",[107,46.504]],[\"comment/222\",[]],[\"name/223\",[108,46.504]],[\"comment/223\",[]],[\"name/224\",[132,64.963]],[\"comment/224\",[]],[\"name/225\",[133,64.963]],[\"comment/225\",[]],[\"name/226\",[134,53.977]],[\"comment/226\",[]],[\"name/227\",[16,51.97]],[\"comment/227\",[]],[\"name/228\",[135,64.963]],[\"comment/228\",[]],[\"name/229\",[14,30.41]],[\"comment/229\",[]],[\"name/230\",[136,51.97]],[\"comment/230\",[]],[\"name/231\",[134,53.977]],[\"comment/231\",[]],[\"name/232\",[137,56.49]],[\"comment/232\",[]],[\"name/233\",[138,59.854]],[\"comment/233\",[]],[\"name/234\",[16,51.97]],[\"comment/234\",[]],[\"name/235\",[139,59.854]],[\"comment/235\",[]],[\"name/236\",[140,51.97]],[\"comment/236\",[]],[\"name/237\",[141,51.97]],[\"comment/237\",[]],[\"name/238\",[142,59.854]],[\"comment/238\",[]],[\"name/239\",[143,64.963]],[\"comment/239\",[]],[\"name/240\",[144,53.977]],[\"comment/240\",[]],[\"name/241\",[119,46.504]],[\"comment/241\",[]],[\"name/242\",[26,59.854]],[\"comment/242\",[]],[\"name/243\",[14,30.41]],[\"comment/243\",[]],[\"name/244\",[119,46.504]],[\"comment/244\",[]],[\"name/245\",[140,51.97]],[\"comment/245\",[]],[\"name/246\",[141,51.97]],[\"comment/246\",[]],[\"name/247\",[144,53.977]],[\"comment/247\",[]],[\"name/248\",[145,56.49]],[\"comment/248\",[]],[\"name/249\",[136,51.97]],[\"comment/249\",[]],[\"name/250\",[146,56.49]],[\"comment/250\",[]],[\"name/251\",[147,56.49]],[\"comment/251\",[]],[\"name/252\",[148,56.49]],[\"comment/252\",[]],[\"name/253\",[149,64.963]],[\"comment/253\",[]],[\"name/254\",[14,30.41]],[\"comment/254\",[]],[\"name/255\",[119,46.504]],[\"comment/255\",[]],[\"name/256\",[140,51.97]],[\"comment/256\",[]],[\"name/257\",[141,51.97]],[\"comment/257\",[]],[\"name/258\",[144,53.977]],[\"comment/258\",[]],[\"name/259\",[145,56.49]],[\"comment/259\",[]],[\"name/260\",[136,51.97]],[\"comment/260\",[]],[\"name/261\",[146,56.49]],[\"comment/261\",[]],[\"name/262\",[147,56.49]],[\"comment/262\",[]],[\"name/263\",[148,56.49]],[\"comment/263\",[]],[\"name/264\",[150,64.963]],[\"comment/264\",[]],[\"name/265\",[14,30.41]],[\"comment/265\",[]],[\"name/266\",[151,64.963]],[\"comment/266\",[]],[\"name/267\",[152,64.963]],[\"comment/267\",[]],[\"name/268\",[153,64.963]],[\"comment/268\",[]],[\"name/269\",[154,64.963]],[\"comment/269\",[]],[\"name/270\",[155,64.963]],[\"comment/270\",[]],[\"name/271\",[156,64.963]],[\"comment/271\",[]],[\"name/272\",[157,64.963]],[\"comment/272\",[]],[\"name/273\",[119,46.504]],[\"comment/273\",[]],[\"name/274\",[140,51.97]],[\"comment/274\",[]],[\"name/275\",[141,51.97]],[\"comment/275\",[]],[\"name/276\",[144,53.977]],[\"comment/276\",[]],[\"name/277\",[145,56.49]],[\"comment/277\",[]],[\"name/278\",[136,51.97]],[\"comment/278\",[]],[\"name/279\",[146,56.49]],[\"comment/279\",[]],[\"name/280\",[147,56.49]],[\"comment/280\",[]],[\"name/281\",[148,56.49]],[\"comment/281\",[]],[\"name/282\",[158,64.963]],[\"comment/282\",[]],[\"name/283\",[12,48.868]],[\"comment/283\",[]],[\"name/284\",[159,59.854]],[\"comment/284\",[]],[\"name/285\",[160,64.963]],[\"comment/285\",[]],[\"name/286\",[14,30.41]],[\"comment/286\",[]],[\"name/287\",[12,48.868]],[\"comment/287\",[]],[\"name/288\",[159,59.854]],[\"comment/288\",[]],[\"name/289\",[161,64.963]],[\"comment/289\",[]],[\"name/290\",[162,64.963]],[\"comment/290\",[]],[\"name/291\",[163,59.854]],[\"comment/291\",[]],[\"name/292\",[103,51.97]],[\"comment/292\",[]],[\"name/293\",[104,51.97]],[\"comment/293\",[]],[\"name/294\",[14,30.41]],[\"comment/294\",[]],[\"name/295\",[12,48.868]],[\"comment/295\",[]],[\"name/296\",[105,42.99]],[\"comment/296\",[]],[\"name/297\",[106,42.99]],[\"comment/297\",[]],[\"name/298\",[107,46.504]],[\"comment/298\",[]],[\"name/299\",[108,46.504]],[\"comment/299\",[]],[\"name/300\",[98,50.299]],[\"comment/300\",[]],[\"name/301\",[99,50.299]],[\"comment/301\",[]],[\"name/302\",[100,50.299]],[\"comment/302\",[]],[\"name/303\",[101,50.299]],[\"comment/303\",[]],[\"name/304\",[109,51.97]],[\"comment/304\",[]],[\"name/305\",[110,51.97]],[\"comment/305\",[]],[\"name/306\",[111,51.97]],[\"comment/306\",[]],[\"name/307\",[112,51.97]],[\"comment/307\",[]],[\"name/308\",[113,51.97]],[\"comment/308\",[]],[\"name/309\",[54,50.299]],[\"comment/309\",[]],[\"name/310\",[114,50.299]],[\"comment/310\",[]],[\"name/311\",[115,51.97]],[\"comment/311\",[]],[\"name/312\",[116,51.97]],[\"comment/312\",[]],[\"name/313\",[117,51.97]],[\"comment/313\",[]],[\"name/314\",[118,51.97]],[\"comment/314\",[]],[\"name/315\",[119,46.504]],[\"comment/315\",[]],[\"name/316\",[120,51.97]],[\"comment/316\",[]],[\"name/317\",[70,33.608]],[\"comment/317\",[]],[\"name/318\",[121,51.97]],[\"comment/318\",[]],[\"name/319\",[122,51.97]],[\"comment/319\",[]],[\"name/320\",[123,51.97]],[\"comment/320\",[]],[\"name/321\",[124,51.97]],[\"comment/321\",[]],[\"name/322\",[106,42.99]],[\"comment/322\",[]],[\"name/323\",[125,51.97]],[\"comment/323\",[]],[\"name/324\",[105,42.99]],[\"comment/324\",[]],[\"name/325\",[126,51.97]],[\"comment/325\",[]],[\"name/326\",[127,51.97]],[\"comment/326\",[]],[\"name/327\",[128,51.97]],[\"comment/327\",[]],[\"name/328\",[129,51.97]],[\"comment/328\",[]],[\"name/329\",[164,64.963]],[\"comment/329\",[]],[\"name/330\",[165,59.854]],[\"comment/330\",[]],[\"name/331\",[14,30.41]],[\"comment/331\",[]],[\"name/332\",[12,48.868]],[\"comment/332\",[]],[\"name/333\",[166,64.963]],[\"comment/333\",[]],[\"name/334\",[167,59.854]],[\"comment/334\",[]],[\"name/335\",[168,64.963]],[\"comment/335\",[]],[\"name/336\",[14,30.41]],[\"comment/336\",[]],[\"name/337\",[134,53.977]],[\"comment/337\",[]],[\"name/338\",[137,56.49]],[\"comment/338\",[]],[\"name/339\",[138,59.854]],[\"comment/339\",[]],[\"name/340\",[16,51.97]],[\"comment/340\",[]],[\"name/341\",[139,59.854]],[\"comment/341\",[]],[\"name/342\",[140,51.97]],[\"comment/342\",[]],[\"name/343\",[141,51.97]],[\"comment/343\",[]],[\"name/344\",[142,59.854]],[\"comment/344\",[]],[\"name/345\",[136,51.97]],[\"comment/345\",[]],[\"name/346\",[169,64.963]],[\"comment/346\",[]],[\"name/347\",[105,42.99]],[\"comment/347\",[]],[\"name/348\",[106,42.99]],[\"comment/348\",[]],[\"name/349\",[170,64.963]],[\"comment/349\",[]],[\"name/350\",[14,30.41]],[\"comment/350\",[]],[\"name/351\",[105,42.99]],[\"comment/351\",[]],[\"name/352\",[106,42.99]],[\"comment/352\",[]],[\"name/353\",[171,64.963]],[\"comment/353\",[]],[\"name/354\",[172,59.854]],[\"comment/354\",[]],[\"name/355\",[173,64.963]],[\"comment/355\",[]],[\"name/356\",[174,64.963]],[\"comment/356\",[]],[\"name/357\",[175,64.963]],[\"comment/357\",[]],[\"name/358\",[176,64.963]],[\"comment/358\",[]],[\"name/359\",[114,50.299]],[\"comment/359\",[]],[\"name/360\",[177,64.963]],[\"comment/360\",[]],[\"name/361\",[178,64.963]],[\"comment/361\",[]],[\"name/362\",[163,59.854]],[\"comment/362\",[]],[\"name/363\",[103,51.97]],[\"comment/363\",[]],[\"name/364\",[104,51.97]],[\"comment/364\",[]],[\"name/365\",[14,30.41]],[\"comment/365\",[]],[\"name/366\",[134,53.977]],[\"comment/366\",[]],[\"name/367\",[137,56.49]],[\"comment/367\",[]],[\"name/368\",[12,48.868]],[\"comment/368\",[]],[\"name/369\",[105,42.99]],[\"comment/369\",[]],[\"name/370\",[106,42.99]],[\"comment/370\",[]],[\"name/371\",[107,46.504]],[\"comment/371\",[]],[\"name/372\",[108,46.504]],[\"comment/372\",[]],[\"name/373\",[98,50.299]],[\"comment/373\",[]],[\"name/374\",[99,50.299]],[\"comment/374\",[]],[\"name/375\",[100,50.299]],[\"comment/375\",[]],[\"name/376\",[101,50.299]],[\"comment/376\",[]],[\"name/377\",[109,51.97]],[\"comment/377\",[]],[\"name/378\",[110,51.97]],[\"comment/378\",[]],[\"name/379\",[111,51.97]],[\"comment/379\",[]],[\"name/380\",[112,51.97]],[\"comment/380\",[]],[\"name/381\",[113,51.97]],[\"comment/381\",[]],[\"name/382\",[54,50.299]],[\"comment/382\",[]],[\"name/383\",[114,50.299]],[\"comment/383\",[]],[\"name/384\",[115,51.97]],[\"comment/384\",[]],[\"name/385\",[116,51.97]],[\"comment/385\",[]],[\"name/386\",[117,51.97]],[\"comment/386\",[]],[\"name/387\",[118,51.97]],[\"comment/387\",[]],[\"name/388\",[119,46.504]],[\"comment/388\",[]],[\"name/389\",[120,51.97]],[\"comment/389\",[]],[\"name/390\",[70,33.608]],[\"comment/390\",[]],[\"name/391\",[121,51.97]],[\"comment/391\",[]],[\"name/392\",[122,51.97]],[\"comment/392\",[]],[\"name/393\",[123,51.97]],[\"comment/393\",[]],[\"name/394\",[124,51.97]],[\"comment/394\",[]],[\"name/395\",[106,42.99]],[\"comment/395\",[]],[\"name/396\",[125,51.97]],[\"comment/396\",[]],[\"name/397\",[105,42.99]],[\"comment/397\",[]],[\"name/398\",[126,51.97]],[\"comment/398\",[]],[\"name/399\",[127,51.97]],[\"comment/399\",[]],[\"name/400\",[128,51.97]],[\"comment/400\",[]],[\"name/401\",[129,51.97]],[\"comment/401\",[]],[\"name/402\",[179,64.963]],[\"comment/402\",[]],[\"name/403\",[105,42.99]],[\"comment/403\",[]],[\"name/404\",[106,42.99]],[\"comment/404\",[]],[\"name/405\",[107,46.504]],[\"comment/405\",[]],[\"name/406\",[108,46.504]],[\"comment/406\",[]],[\"name/407\",[180,64.963]],[\"comment/407\",[]],[\"name/408\",[103,51.97]],[\"comment/408\",[]],[\"name/409\",[104,51.97]],[\"comment/409\",[]],[\"name/410\",[14,30.41]],[\"comment/410\",[]],[\"name/411\",[105,42.99]],[\"comment/411\",[]],[\"name/412\",[106,42.99]],[\"comment/412\",[]],[\"name/413\",[107,46.504]],[\"comment/413\",[]],[\"name/414\",[108,46.504]],[\"comment/414\",[]],[\"name/415\",[98,50.299]],[\"comment/415\",[]],[\"name/416\",[99,50.299]],[\"comment/416\",[]],[\"name/417\",[100,50.299]],[\"comment/417\",[]],[\"name/418\",[101,50.299]],[\"comment/418\",[]],[\"name/419\",[109,51.97]],[\"comment/419\",[]],[\"name/420\",[110,51.97]],[\"comment/420\",[]],[\"name/421\",[111,51.97]],[\"comment/421\",[]],[\"name/422\",[112,51.97]],[\"comment/422\",[]],[\"name/423\",[113,51.97]],[\"comment/423\",[]],[\"name/424\",[54,50.299]],[\"comment/424\",[]],[\"name/425\",[114,50.299]],[\"comment/425\",[]],[\"name/426\",[115,51.97]],[\"comment/426\",[]],[\"name/427\",[116,51.97]],[\"comment/427\",[]],[\"name/428\",[117,51.97]],[\"comment/428\",[]],[\"name/429\",[118,51.97]],[\"comment/429\",[]],[\"name/430\",[119,46.504]],[\"comment/430\",[]],[\"name/431\",[120,51.97]],[\"comment/431\",[]],[\"name/432\",[70,33.608]],[\"comment/432\",[]],[\"name/433\",[121,51.97]],[\"comment/433\",[]],[\"name/434\",[122,51.97]],[\"comment/434\",[]],[\"name/435\",[123,51.97]],[\"comment/435\",[]],[\"name/436\",[124,51.97]],[\"comment/436\",[]],[\"name/437\",[106,42.99]],[\"comment/437\",[]],[\"name/438\",[125,51.97]],[\"comment/438\",[]],[\"name/439\",[105,42.99]],[\"comment/439\",[]],[\"name/440\",[126,51.97]],[\"comment/440\",[]],[\"name/441\",[127,51.97]],[\"comment/441\",[]],[\"name/442\",[128,51.97]],[\"comment/442\",[]],[\"name/443\",[129,51.97]],[\"comment/443\",[]],[\"name/444\",[181,64.963]],[\"comment/444\",[]],[\"name/445\",[182,64.963]],[\"comment/445\",[]],[\"name/446\",[183,64.963]],[\"comment/446\",[]],[\"name/447\",[184,64.963]],[\"comment/447\",[]],[\"name/448\",[185,64.963]],[\"comment/448\",[]],[\"name/449\",[186,64.963]],[\"comment/449\",[]],[\"name/450\",[187,64.963]],[\"comment/450\",[]],[\"name/451\",[188,64.963]],[\"comment/451\",[]],[\"name/452\",[189,64.963]],[\"comment/452\",[]],[\"name/453\",[190,64.963]],[\"comment/453\",[]],[\"name/454\",[191,64.963]],[\"comment/454\",[]],[\"name/455\",[192,64.963]],[\"comment/455\",[]],[\"name/456\",[193,64.963]],[\"comment/456\",[]],[\"name/457\",[194,64.963]],[\"comment/457\",[]],[\"name/458\",[195,64.963]],[\"comment/458\",[]],[\"name/459\",[196,64.963]],[\"comment/459\",[]],[\"name/460\",[197,64.963]],[\"comment/460\",[]],[\"name/461\",[198,64.963]],[\"comment/461\",[]],[\"name/462\",[199,64.963]],[\"comment/462\",[]],[\"name/463\",[70,33.608]],[\"comment/463\",[]],[\"name/464\",[107,46.504]],[\"comment/464\",[]],[\"name/465\",[108,46.504]],[\"comment/465\",[]],[\"name/466\",[200,64.963]],[\"comment/466\",[]],[\"name/467\",[14,30.41]],[\"comment/467\",[]],[\"name/468\",[201,64.963]],[\"comment/468\",[]],[\"name/469\",[202,64.963]],[\"comment/469\",[]],[\"name/470\",[203,64.963]],[\"comment/470\",[]],[\"name/471\",[204,64.963]],[\"comment/471\",[]],[\"name/472\",[205,64.963]],[\"comment/472\",[]],[\"name/473\",[206,53.977]],[\"comment/473\",[]],[\"name/474\",[207,64.963]],[\"comment/474\",[]],[\"name/475\",[208,64.963]],[\"comment/475\",[]],[\"name/476\",[209,64.963]],[\"comment/476\",[]],[\"name/477\",[210,64.963]],[\"comment/477\",[]],[\"name/478\",[211,64.963]],[\"comment/478\",[]],[\"name/479\",[212,64.963]],[\"comment/479\",[]],[\"name/480\",[213,64.963]],[\"comment/480\",[]],[\"name/481\",[214,64.963]],[\"comment/481\",[]],[\"name/482\",[215,64.963]],[\"comment/482\",[]],[\"name/483\",[216,64.963]],[\"comment/483\",[]],[\"name/484\",[217,64.963]],[\"comment/484\",[]],[\"name/485\",[218,64.963]],[\"comment/485\",[]],[\"name/486\",[219,64.963]],[\"comment/486\",[]],[\"name/487\",[220,64.963]],[\"comment/487\",[]],[\"name/488\",[70,33.608]],[\"comment/488\",[]],[\"name/489\",[221,64.963]],[\"comment/489\",[]],[\"name/490\",[70,33.608]],[\"comment/490\",[]],[\"name/491\",[222,64.963]],[\"comment/491\",[]],[\"name/492\",[70,33.608]],[\"comment/492\",[]],[\"name/493\",[223,64.963]],[\"comment/493\",[]],[\"name/494\",[70,33.608]],[\"comment/494\",[]],[\"name/495\",[224,64.963]],[\"comment/495\",[]],[\"name/496\",[70,33.608]],[\"comment/496\",[]],[\"name/497\",[225,64.963]],[\"comment/497\",[]],[\"name/498\",[70,33.608]],[\"comment/498\",[]],[\"name/499\",[226,64.963]],[\"comment/499\",[]],[\"name/500\",[70,33.608]],[\"comment/500\",[]],[\"name/501\",[227,64.963]],[\"comment/501\",[]],[\"name/502\",[70,33.608]],[\"comment/502\",[]],[\"name/503\",[228,64.963]],[\"comment/503\",[]],[\"name/504\",[70,33.608]],[\"comment/504\",[]],[\"name/505\",[229,64.963]],[\"comment/505\",[]],[\"name/506\",[70,33.608]],[\"comment/506\",[]],[\"name/507\",[230,64.963]],[\"comment/507\",[]],[\"name/508\",[70,33.608]],[\"comment/508\",[]],[\"name/509\",[231,64.963]],[\"comment/509\",[]],[\"name/510\",[70,33.608]],[\"comment/510\",[]],[\"name/511\",[232,64.963]],[\"comment/511\",[]],[\"name/512\",[233,59.854]],[\"comment/512\",[]],[\"name/513\",[14,30.41]],[\"comment/513\",[]],[\"name/514\",[64,45.504]],[\"comment/514\",[]],[\"name/515\",[65,45.504]],[\"comment/515\",[]],[\"name/516\",[234,64.963]],[\"comment/516\",[]],[\"name/517\",[62,51.97]],[\"comment/517\",[]],[\"name/518\",[63,51.97]],[\"comment/518\",[]],[\"name/519\",[67,44.594]],[\"comment/519\",[]],[\"name/520\",[68,51.97]],[\"comment/520\",[]],[\"name/521\",[69,51.97]],[\"comment/521\",[]],[\"name/522\",[70,33.608]],[\"comment/522\",[]],[\"name/523\",[71,40.984]],[\"comment/523\",[]],[\"name/524\",[72,40.984]],[\"comment/524\",[]],[\"name/525\",[73,44.594]],[\"comment/525\",[]],[\"name/526\",[71,40.984]],[\"comment/526\",[]],[\"name/527\",[72,40.984]],[\"comment/527\",[]],[\"name/528\",[74,44.594]],[\"comment/528\",[]],[\"name/529\",[75,44.594]],[\"comment/529\",[]],[\"name/530\",[76,44.594]],[\"comment/530\",[]],[\"name/531\",[77,44.594]],[\"comment/531\",[]],[\"name/532\",[78,44.594]],[\"comment/532\",[]],[\"name/533\",[79,44.594]],[\"comment/533\",[]],[\"name/534\",[80,44.594]],[\"comment/534\",[]],[\"name/535\",[81,44.594]],[\"comment/535\",[]],[\"name/536\",[82,44.594]],[\"comment/536\",[]],[\"name/537\",[83,44.594]],[\"comment/537\",[]],[\"name/538\",[84,44.594]],[\"comment/538\",[]],[\"name/539\",[85,44.594]],[\"comment/539\",[]],[\"name/540\",[86,44.594]],[\"comment/540\",[]],[\"name/541\",[87,44.594]],[\"comment/541\",[]],[\"name/542\",[235,64.963]],[\"comment/542\",[]],[\"name/543\",[236,64.963]],[\"comment/543\",[]],[\"name/544\",[14,30.41]],[\"comment/544\",[]],[\"name/545\",[237,64.963]],[\"comment/545\",[]],[\"name/546\",[238,64.963]],[\"comment/546\",[]],[\"name/547\",[239,64.963]],[\"comment/547\",[]],[\"name/548\",[240,64.963]],[\"comment/548\",[]],[\"name/549\",[241,64.963]],[\"comment/549\",[]],[\"name/550\",[242,64.963]],[\"comment/550\",[]],[\"name/551\",[243,64.963]],[\"comment/551\",[]],[\"name/552\",[244,64.963]],[\"comment/552\",[]],[\"name/553\",[245,64.963]],[\"comment/553\",[]],[\"name/554\",[14,30.41]],[\"comment/554\",[]],[\"name/555\",[246,56.49]],[\"comment/555\",[]],[\"name/556\",[64,45.504]],[\"comment/556\",[]],[\"name/557\",[65,45.504]],[\"comment/557\",[]],[\"name/558\",[247,53.977]],[\"comment/558\",[]],[\"name/559\",[62,51.97]],[\"comment/559\",[]],[\"name/560\",[63,51.97]],[\"comment/560\",[]],[\"name/561\",[67,44.594]],[\"comment/561\",[]],[\"name/562\",[68,51.97]],[\"comment/562\",[]],[\"name/563\",[69,51.97]],[\"comment/563\",[]],[\"name/564\",[70,33.608]],[\"comment/564\",[]],[\"name/565\",[71,40.984]],[\"comment/565\",[]],[\"name/566\",[72,40.984]],[\"comment/566\",[]],[\"name/567\",[73,44.594]],[\"comment/567\",[]],[\"name/568\",[71,40.984]],[\"comment/568\",[]],[\"name/569\",[72,40.984]],[\"comment/569\",[]],[\"name/570\",[74,44.594]],[\"comment/570\",[]],[\"name/571\",[75,44.594]],[\"comment/571\",[]],[\"name/572\",[76,44.594]],[\"comment/572\",[]],[\"name/573\",[77,44.594]],[\"comment/573\",[]],[\"name/574\",[78,44.594]],[\"comment/574\",[]],[\"name/575\",[79,44.594]],[\"comment/575\",[]],[\"name/576\",[80,44.594]],[\"comment/576\",[]],[\"name/577\",[81,44.594]],[\"comment/577\",[]],[\"name/578\",[82,44.594]],[\"comment/578\",[]],[\"name/579\",[83,44.594]],[\"comment/579\",[]],[\"name/580\",[84,44.594]],[\"comment/580\",[]],[\"name/581\",[85,44.594]],[\"comment/581\",[]],[\"name/582\",[86,44.594]],[\"comment/582\",[]],[\"name/583\",[87,44.594]],[\"comment/583\",[]],[\"name/584\",[248,59.854]],[\"comment/584\",[]],[\"name/585\",[14,30.41]],[\"comment/585\",[]],[\"name/586\",[246,56.49]],[\"comment/586\",[]],[\"name/587\",[64,45.504]],[\"comment/587\",[]],[\"name/588\",[65,45.504]],[\"comment/588\",[]],[\"name/589\",[247,53.977]],[\"comment/589\",[]],[\"name/590\",[62,51.97]],[\"comment/590\",[]],[\"name/591\",[63,51.97]],[\"comment/591\",[]],[\"name/592\",[67,44.594]],[\"comment/592\",[]],[\"name/593\",[68,51.97]],[\"comment/593\",[]],[\"name/594\",[69,51.97]],[\"comment/594\",[]],[\"name/595\",[70,33.608]],[\"comment/595\",[]],[\"name/596\",[71,40.984]],[\"comment/596\",[]],[\"name/597\",[72,40.984]],[\"comment/597\",[]],[\"name/598\",[73,44.594]],[\"comment/598\",[]],[\"name/599\",[71,40.984]],[\"comment/599\",[]],[\"name/600\",[72,40.984]],[\"comment/600\",[]],[\"name/601\",[74,44.594]],[\"comment/601\",[]],[\"name/602\",[75,44.594]],[\"comment/602\",[]],[\"name/603\",[76,44.594]],[\"comment/603\",[]],[\"name/604\",[77,44.594]],[\"comment/604\",[]],[\"name/605\",[78,44.594]],[\"comment/605\",[]],[\"name/606\",[79,44.594]],[\"comment/606\",[]],[\"name/607\",[80,44.594]],[\"comment/607\",[]],[\"name/608\",[81,44.594]],[\"comment/608\",[]],[\"name/609\",[82,44.594]],[\"comment/609\",[]],[\"name/610\",[83,44.594]],[\"comment/610\",[]],[\"name/611\",[84,44.594]],[\"comment/611\",[]],[\"name/612\",[85,44.594]],[\"comment/612\",[]],[\"name/613\",[86,44.594]],[\"comment/613\",[]],[\"name/614\",[87,44.594]],[\"comment/614\",[]],[\"name/615\",[249,59.854]],[\"comment/615\",[]],[\"name/616\",[14,30.41]],[\"comment/616\",[]],[\"name/617\",[246,56.49]],[\"comment/617\",[]],[\"name/618\",[64,45.504]],[\"comment/618\",[]],[\"name/619\",[65,45.504]],[\"comment/619\",[]],[\"name/620\",[247,53.977]],[\"comment/620\",[]],[\"name/621\",[62,51.97]],[\"comment/621\",[]],[\"name/622\",[63,51.97]],[\"comment/622\",[]],[\"name/623\",[67,44.594]],[\"comment/623\",[]],[\"name/624\",[68,51.97]],[\"comment/624\",[]],[\"name/625\",[69,51.97]],[\"comment/625\",[]],[\"name/626\",[70,33.608]],[\"comment/626\",[]],[\"name/627\",[71,40.984]],[\"comment/627\",[]],[\"name/628\",[72,40.984]],[\"comment/628\",[]],[\"name/629\",[73,44.594]],[\"comment/629\",[]],[\"name/630\",[71,40.984]],[\"comment/630\",[]],[\"name/631\",[72,40.984]],[\"comment/631\",[]],[\"name/632\",[74,44.594]],[\"comment/632\",[]],[\"name/633\",[75,44.594]],[\"comment/633\",[]],[\"name/634\",[76,44.594]],[\"comment/634\",[]],[\"name/635\",[77,44.594]],[\"comment/635\",[]],[\"name/636\",[78,44.594]],[\"comment/636\",[]],[\"name/637\",[79,44.594]],[\"comment/637\",[]],[\"name/638\",[80,44.594]],[\"comment/638\",[]],[\"name/639\",[81,44.594]],[\"comment/639\",[]],[\"name/640\",[82,44.594]],[\"comment/640\",[]],[\"name/641\",[83,44.594]],[\"comment/641\",[]],[\"name/642\",[84,44.594]],[\"comment/642\",[]],[\"name/643\",[85,44.594]],[\"comment/643\",[]],[\"name/644\",[86,44.594]],[\"comment/644\",[]],[\"name/645\",[87,44.594]],[\"comment/645\",[]],[\"name/646\",[250,64.963]],[\"comment/646\",[]],[\"name/647\",[251,59.854]],[\"comment/647\",[]],[\"name/648\",[14,30.41]],[\"comment/648\",[]],[\"name/649\",[64,45.504]],[\"comment/649\",[]],[\"name/650\",[65,45.504]],[\"comment/650\",[]],[\"name/651\",[252,59.854]],[\"comment/651\",[]],[\"name/652\",[73,44.594]],[\"comment/652\",[]],[\"name/653\",[71,40.984]],[\"comment/653\",[]],[\"name/654\",[72,40.984]],[\"comment/654\",[]],[\"name/655\",[74,44.594]],[\"comment/655\",[]],[\"name/656\",[75,44.594]],[\"comment/656\",[]],[\"name/657\",[76,44.594]],[\"comment/657\",[]],[\"name/658\",[77,44.594]],[\"comment/658\",[]],[\"name/659\",[78,44.594]],[\"comment/659\",[]],[\"name/660\",[79,44.594]],[\"comment/660\",[]],[\"name/661\",[80,44.594]],[\"comment/661\",[]],[\"name/662\",[81,44.594]],[\"comment/662\",[]],[\"name/663\",[67,44.594]],[\"comment/663\",[]],[\"name/664\",[82,44.594]],[\"comment/664\",[]],[\"name/665\",[83,44.594]],[\"comment/665\",[]],[\"name/666\",[84,44.594]],[\"comment/666\",[]],[\"name/667\",[85,44.594]],[\"comment/667\",[]],[\"name/668\",[86,44.594]],[\"comment/668\",[]],[\"name/669\",[87,44.594]],[\"comment/669\",[]],[\"name/670\",[253,64.963]],[\"comment/670\",[]],[\"name/671\",[254,59.854]],[\"comment/671\",[]],[\"name/672\",[255,64.963]],[\"comment/672\",[]],[\"name/673\",[256,64.963]],[\"comment/673\",[]],[\"name/674\",[257,64.963]],[\"comment/674\",[]],[\"name/675\",[258,64.963]],[\"comment/675\",[]],[\"name/676\",[259,64.963]],[\"comment/676\",[]],[\"name/677\",[260,48.868]],[\"comment/677\",[]],[\"name/678\",[261,64.963]],[\"comment/678\",[]],[\"name/679\",[262,64.963]],[\"comment/679\",[]],[\"name/680\",[263,56.49]],[\"comment/680\",[]],[\"name/681\",[264,64.963]],[\"comment/681\",[]],[\"name/682\",[265,64.963]],[\"comment/682\",[]],[\"name/683\",[266,64.963]],[\"comment/683\",[]],[\"name/684\",[267,64.963]],[\"comment/684\",[]],[\"name/685\",[268,64.963]],[\"comment/685\",[]],[\"name/686\",[269,64.963]],[\"comment/686\",[]],[\"name/687\",[270,64.963]],[\"comment/687\",[]],[\"name/688\",[271,64.963]],[\"comment/688\",[]],[\"name/689\",[272,64.963]],[\"comment/689\",[]],[\"name/690\",[273,64.963]],[\"comment/690\",[]],[\"name/691\",[14,30.41]],[\"comment/691\",[]],[\"name/692\",[274,45.504]],[\"comment/692\",[]],[\"name/693\",[275,45.504]],[\"comment/693\",[]],[\"name/694\",[276,64.963]],[\"comment/694\",[]],[\"name/695\",[14,30.41]],[\"comment/695\",[]],[\"name/696\",[274,45.504]],[\"comment/696\",[]],[\"name/697\",[275,45.504]],[\"comment/697\",[]],[\"name/698\",[277,64.963]],[\"comment/698\",[]],[\"name/699\",[14,30.41]],[\"comment/699\",[]],[\"name/700\",[275,45.504]],[\"comment/700\",[]],[\"name/701\",[260,48.868]],[\"comment/701\",[]],[\"name/702\",[278,50.299]],[\"comment/702\",[]],[\"name/703\",[274,45.504]],[\"comment/703\",[]],[\"name/704\",[279,64.963]],[\"comment/704\",[]],[\"name/705\",[14,30.41]],[\"comment/705\",[]],[\"name/706\",[275,45.504]],[\"comment/706\",[]],[\"name/707\",[260,48.868]],[\"comment/707\",[]],[\"name/708\",[278,50.299]],[\"comment/708\",[]],[\"name/709\",[274,45.504]],[\"comment/709\",[]],[\"name/710\",[280,64.963]],[\"comment/710\",[]],[\"name/711\",[281,64.963]],[\"comment/711\",[]],[\"name/712\",[282,64.963]],[\"comment/712\",[]],[\"name/713\",[14,30.41]],[\"comment/713\",[]],[\"name/714\",[274,45.504]],[\"comment/714\",[]],[\"name/715\",[275,45.504]],[\"comment/715\",[]],[\"name/716\",[283,64.963]],[\"comment/716\",[]],[\"name/717\",[14,30.41]],[\"comment/717\",[]],[\"name/718\",[275,45.504]],[\"comment/718\",[]],[\"name/719\",[263,56.49]],[\"comment/719\",[]],[\"name/720\",[260,48.868]],[\"comment/720\",[]],[\"name/721\",[278,50.299]],[\"comment/721\",[]],[\"name/722\",[274,45.504]],[\"comment/722\",[]],[\"name/723\",[284,64.963]],[\"comment/723\",[]],[\"name/724\",[14,30.41]],[\"comment/724\",[]],[\"name/725\",[275,45.504]],[\"comment/725\",[]],[\"name/726\",[263,56.49]],[\"comment/726\",[]],[\"name/727\",[260,48.868]],[\"comment/727\",[]],[\"name/728\",[278,50.299]],[\"comment/728\",[]],[\"name/729\",[274,45.504]],[\"comment/729\",[]],[\"name/730\",[285,64.963]],[\"comment/730\",[]],[\"name/731\",[14,30.41]],[\"comment/731\",[]],[\"name/732\",[274,45.504]],[\"comment/732\",[]],[\"name/733\",[275,45.504]],[\"comment/733\",[]],[\"name/734\",[286,64.963]],[\"comment/734\",[]],[\"name/735\",[14,30.41]],[\"comment/735\",[]],[\"name/736\",[275,45.504]],[\"comment/736\",[]],[\"name/737\",[260,48.868]],[\"comment/737\",[]],[\"name/738\",[278,50.299]],[\"comment/738\",[]],[\"name/739\",[287,64.963]],[\"comment/739\",[]],[\"name/740\",[274,45.504]],[\"comment/740\",[]],[\"name/741\",[288,64.963]],[\"comment/741\",[]],[\"name/742\",[14,30.41]],[\"comment/742\",[]],[\"name/743\",[275,45.504]],[\"comment/743\",[]],[\"name/744\",[260,48.868]],[\"comment/744\",[]],[\"name/745\",[278,50.299]],[\"comment/745\",[]],[\"name/746\",[254,59.854]],[\"comment/746\",[]],[\"name/747\",[274,45.504]],[\"comment/747\",[]],[\"name/748\",[289,64.963]],[\"comment/748\",[]],[\"name/749\",[165,59.854]],[\"comment/749\",[]],[\"name/750\",[14,30.41]],[\"comment/750\",[]],[\"name/751\",[290,64.963]],[\"comment/751\",[]],[\"name/752\",[291,64.963]],[\"comment/752\",[]],[\"name/753\",[292,64.963]],[\"comment/753\",[]],[\"name/754\",[293,64.963]],[\"comment/754\",[]],[\"name/755\",[294,64.963]],[\"comment/755\",[]],[\"name/756\",[167,59.854]],[\"comment/756\",[]],[\"name/757\",[295,64.963]],[\"comment/757\",[]],[\"name/758\",[70,33.608]],[\"comment/758\",[]],[\"name/759\",[296,56.49]],[\"comment/759\",[]],[\"name/760\",[297,56.49]],[\"comment/760\",[]],[\"name/761\",[298,56.49]],[\"comment/761\",[]],[\"name/762\",[248,59.854]],[\"comment/762\",[]],[\"name/763\",[249,59.854]],[\"comment/763\",[]],[\"name/764\",[251,59.854]],[\"comment/764\",[]],[\"name/765\",[233,59.854]],[\"comment/765\",[]],[\"name/766\",[61,59.854]],[\"comment/766\",[]],[\"name/767\",[296,56.49]],[\"comment/767\",[]],[\"name/768\",[297,56.49]],[\"comment/768\",[]],[\"name/769\",[298,56.49]],[\"comment/769\",[]],[\"name/770\",[299,64.963]],[\"comment/770\",[]],[\"name/771\",[300,64.963]],[\"comment/771\",[]],[\"name/772\",[252,59.854]],[\"comment/772\",[]],[\"name/773\",[301,64.963]],[\"comment/773\",[]],[\"name/774\",[66,59.854]],[\"comment/774\",[]],[\"name/775\",[302,64.963]],[\"comment/775\",[]],[\"name/776\",[303,64.963]],[\"comment/776\",[]],[\"name/777\",[304,64.963]],[\"comment/777\",[]],[\"name/778\",[305,64.963]],[\"comment/778\",[]],[\"name/779\",[306,64.963]],[\"comment/779\",[]],[\"name/780\",[307,64.963]],[\"comment/780\",[]],[\"name/781\",[308,64.963]],[\"comment/781\",[]],[\"name/782\",[309,64.963]],[\"comment/782\",[]],[\"name/783\",[310,64.963]],[\"comment/783\",[]],[\"name/784\",[311,51.97]],[\"comment/784\",[]],[\"name/785\",[247,53.977]],[\"comment/785\",[]],[\"name/786\",[312,64.963]],[\"comment/786\",[]],[\"name/787\",[313,64.963]],[\"comment/787\",[]],[\"name/788\",[70,33.608]],[\"comment/788\",[]],[\"name/789\",[314,64.963]],[\"comment/789\",[]],[\"name/790\",[315,64.963]],[\"comment/790\",[]],[\"name/791\",[316,64.963]],[\"comment/791\",[]],[\"name/792\",[317,64.963]],[\"comment/792\",[]],[\"name/793\",[318,64.963]],[\"comment/793\",[]],[\"name/794\",[319,64.963]],[\"comment/794\",[]],[\"name/795\",[320,64.963]],[\"comment/795\",[]],[\"name/796\",[321,64.963]],[\"comment/796\",[]],[\"name/797\",[322,64.963]],[\"comment/797\",[]],[\"name/798\",[323,64.963]],[\"comment/798\",[]],[\"name/799\",[324,64.963]],[\"comment/799\",[]],[\"name/800\",[14,30.41]],[\"comment/800\",[]],[\"name/801\",[64,45.504]],[\"comment/801\",[]],[\"name/802\",[65,45.504]],[\"comment/802\",[]],[\"name/803\",[311,51.97]],[\"comment/803\",[]],[\"name/804\",[73,44.594]],[\"comment/804\",[]],[\"name/805\",[71,40.984]],[\"comment/805\",[]],[\"name/806\",[72,40.984]],[\"comment/806\",[]],[\"name/807\",[74,44.594]],[\"comment/807\",[]],[\"name/808\",[75,44.594]],[\"comment/808\",[]],[\"name/809\",[76,44.594]],[\"comment/809\",[]],[\"name/810\",[77,44.594]],[\"comment/810\",[]],[\"name/811\",[78,44.594]],[\"comment/811\",[]],[\"name/812\",[79,44.594]],[\"comment/812\",[]],[\"name/813\",[80,44.594]],[\"comment/813\",[]],[\"name/814\",[81,44.594]],[\"comment/814\",[]],[\"name/815\",[67,44.594]],[\"comment/815\",[]],[\"name/816\",[82,44.594]],[\"comment/816\",[]],[\"name/817\",[83,44.594]],[\"comment/817\",[]],[\"name/818\",[84,44.594]],[\"comment/818\",[]],[\"name/819\",[85,44.594]],[\"comment/819\",[]],[\"name/820\",[86,44.594]],[\"comment/820\",[]],[\"name/821\",[87,44.594]],[\"comment/821\",[]],[\"name/822\",[296,56.49]],[\"comment/822\",[]],[\"name/823\",[14,30.41]],[\"comment/823\",[]],[\"name/824\",[64,45.504]],[\"comment/824\",[]],[\"name/825\",[65,45.504]],[\"comment/825\",[]],[\"name/826\",[311,51.97]],[\"comment/826\",[]],[\"name/827\",[73,44.594]],[\"comment/827\",[]],[\"name/828\",[71,40.984]],[\"comment/828\",[]],[\"name/829\",[72,40.984]],[\"comment/829\",[]],[\"name/830\",[74,44.594]],[\"comment/830\",[]],[\"name/831\",[75,44.594]],[\"comment/831\",[]],[\"name/832\",[76,44.594]],[\"comment/832\",[]],[\"name/833\",[77,44.594]],[\"comment/833\",[]],[\"name/834\",[78,44.594]],[\"comment/834\",[]],[\"name/835\",[79,44.594]],[\"comment/835\",[]],[\"name/836\",[80,44.594]],[\"comment/836\",[]],[\"name/837\",[81,44.594]],[\"comment/837\",[]],[\"name/838\",[67,44.594]],[\"comment/838\",[]],[\"name/839\",[82,44.594]],[\"comment/839\",[]],[\"name/840\",[83,44.594]],[\"comment/840\",[]],[\"name/841\",[84,44.594]],[\"comment/841\",[]],[\"name/842\",[85,44.594]],[\"comment/842\",[]],[\"name/843\",[86,44.594]],[\"comment/843\",[]],[\"name/844\",[87,44.594]],[\"comment/844\",[]],[\"name/845\",[325,64.963]],[\"comment/845\",[]],[\"name/846\",[326,59.854]],[\"comment/846\",[]],[\"name/847\",[327,59.854]],[\"comment/847\",[]],[\"name/848\",[328,64.963]],[\"comment/848\",[]],[\"name/849\",[14,30.41]],[\"comment/849\",[]],[\"name/850\",[326,59.854]],[\"comment/850\",[]],[\"name/851\",[327,59.854]],[\"comment/851\",[]],[\"name/852\",[329,64.963]],[\"comment/852\",[]],[\"name/853\",[297,56.49]],[\"comment/853\",[]],[\"name/854\",[330,59.854]],[\"comment/854\",[]],[\"name/855\",[14,30.41]],[\"comment/855\",[]],[\"name/856\",[331,56.49]],[\"comment/856\",[]],[\"name/857\",[311,51.97]],[\"comment/857\",[]],[\"name/858\",[332,59.854]],[\"comment/858\",[]],[\"name/859\",[333,56.49]],[\"comment/859\",[]],[\"name/860\",[334,59.854]],[\"comment/860\",[]],[\"name/861\",[335,59.854]],[\"comment/861\",[]],[\"name/862\",[336,59.854]],[\"comment/862\",[]],[\"name/863\",[64,45.504]],[\"comment/863\",[]],[\"name/864\",[65,45.504]],[\"comment/864\",[]],[\"name/865\",[337,59.854]],[\"comment/865\",[]],[\"name/866\",[73,44.594]],[\"comment/866\",[]],[\"name/867\",[71,40.984]],[\"comment/867\",[]],[\"name/868\",[72,40.984]],[\"comment/868\",[]],[\"name/869\",[74,44.594]],[\"comment/869\",[]],[\"name/870\",[75,44.594]],[\"comment/870\",[]],[\"name/871\",[76,44.594]],[\"comment/871\",[]],[\"name/872\",[77,44.594]],[\"comment/872\",[]],[\"name/873\",[78,44.594]],[\"comment/873\",[]],[\"name/874\",[79,44.594]],[\"comment/874\",[]],[\"name/875\",[80,44.594]],[\"comment/875\",[]],[\"name/876\",[81,44.594]],[\"comment/876\",[]],[\"name/877\",[67,44.594]],[\"comment/877\",[]],[\"name/878\",[82,44.594]],[\"comment/878\",[]],[\"name/879\",[83,44.594]],[\"comment/879\",[]],[\"name/880\",[84,44.594]],[\"comment/880\",[]],[\"name/881\",[85,44.594]],[\"comment/881\",[]],[\"name/882\",[86,44.594]],[\"comment/882\",[]],[\"name/883\",[87,44.594]],[\"comment/883\",[]],[\"name/884\",[338,64.963]],[\"comment/884\",[]],[\"name/885\",[339,64.963]],[\"comment/885\",[]],[\"name/886\",[14,30.41]],[\"comment/886\",[]],[\"name/887\",[206,53.977]],[\"comment/887\",[]],[\"name/888\",[340,56.49]],[\"comment/888\",[]],[\"name/889\",[341,64.963]],[\"comment/889\",[]],[\"name/890\",[298,56.49]],[\"comment/890\",[]],[\"name/891\",[330,59.854]],[\"comment/891\",[]],[\"name/892\",[14,30.41]],[\"comment/892\",[]],[\"name/893\",[342,59.854]],[\"comment/893\",[]],[\"name/894\",[331,56.49]],[\"comment/894\",[]],[\"name/895\",[311,51.97]],[\"comment/895\",[]],[\"name/896\",[332,59.854]],[\"comment/896\",[]],[\"name/897\",[333,56.49]],[\"comment/897\",[]],[\"name/898\",[334,59.854]],[\"comment/898\",[]],[\"name/899\",[335,59.854]],[\"comment/899\",[]],[\"name/900\",[336,59.854]],[\"comment/900\",[]],[\"name/901\",[64,45.504]],[\"comment/901\",[]],[\"name/902\",[65,45.504]],[\"comment/902\",[]],[\"name/903\",[337,59.854]],[\"comment/903\",[]],[\"name/904\",[73,44.594]],[\"comment/904\",[]],[\"name/905\",[71,40.984]],[\"comment/905\",[]],[\"name/906\",[72,40.984]],[\"comment/906\",[]],[\"name/907\",[74,44.594]],[\"comment/907\",[]],[\"name/908\",[75,44.594]],[\"comment/908\",[]],[\"name/909\",[76,44.594]],[\"comment/909\",[]],[\"name/910\",[77,44.594]],[\"comment/910\",[]],[\"name/911\",[78,44.594]],[\"comment/911\",[]],[\"name/912\",[79,44.594]],[\"comment/912\",[]],[\"name/913\",[80,44.594]],[\"comment/913\",[]],[\"name/914\",[81,44.594]],[\"comment/914\",[]],[\"name/915\",[67,44.594]],[\"comment/915\",[]],[\"name/916\",[82,44.594]],[\"comment/916\",[]],[\"name/917\",[83,44.594]],[\"comment/917\",[]],[\"name/918\",[84,44.594]],[\"comment/918\",[]],[\"name/919\",[85,44.594]],[\"comment/919\",[]],[\"name/920\",[86,44.594]],[\"comment/920\",[]],[\"name/921\",[87,44.594]],[\"comment/921\",[]],[\"name/922\",[343,64.963]],[\"comment/922\",[]],[\"name/923\",[206,53.977]],[\"comment/923\",[]],[\"name/924\",[340,56.49]],[\"comment/924\",[]],[\"name/925\",[344,64.963]],[\"comment/925\",[]],[\"name/926\",[14,30.41]],[\"comment/926\",[]],[\"name/927\",[206,53.977]],[\"comment/927\",[]],[\"name/928\",[340,56.49]],[\"comment/928\",[]],[\"name/929\",[345,64.963]],[\"comment/929\",[]],[\"name/930\",[346,64.963]],[\"comment/930\",[]],[\"name/931\",[70,33.608]],[\"comment/931\",[]],[\"name/932\",[342,59.854]],[\"comment/932\",[]],[\"name/933\",[347,64.963]],[\"comment/933\",[]],[\"name/934\",[331,56.49]],[\"comment/934\",[]],[\"name/935\",[348,64.963]],[\"comment/935\",[]],[\"name/936\",[349,64.963]],[\"comment/936\",[]],[\"name/937\",[333,56.49]],[\"comment/937\",[]],[\"name/938\",[350,64.963]],[\"comment/938\",[]],[\"name/939\",[351,64.963]],[\"comment/939\",[]],[\"name/940\",[352,64.963]],[\"comment/940\",[]],[\"name/941\",[70,33.608]],[\"comment/941\",[]],[\"name/942\",[172,59.854]],[\"comment/942\",[]],[\"name/943\",[353,64.963]],[\"comment/943\",[]],[\"name/944\",[354,64.963]],[\"comment/944\",[]],[\"name/945\",[70,33.608]],[\"comment/945\",[]],[\"name/946\",[355,64.963]],[\"comment/946\",[]],[\"name/947\",[356,64.963]],[\"comment/947\",[]],[\"name/948\",[357,64.963]],[\"comment/948\",[]],[\"name/949\",[70,33.608]],[\"comment/949\",[]],[\"name/950\",[358,59.854]],[\"comment/950\",[]],[\"name/951\",[359,59.854]],[\"comment/951\",[]],[\"name/952\",[360,59.854]],[\"comment/952\",[]],[\"name/953\",[361,59.854]],[\"comment/953\",[]],[\"name/954\",[362,59.854]],[\"comment/954\",[]],[\"name/955\",[363,59.854]],[\"comment/955\",[]],[\"name/956\",[364,59.854]],[\"comment/956\",[]],[\"name/957\",[365,59.854]],[\"comment/957\",[]],[\"name/958\",[366,59.854]],[\"comment/958\",[]],[\"name/959\",[367,64.963]],[\"comment/959\",[]],[\"name/960\",[70,33.608]],[\"comment/960\",[]],[\"name/961\",[358,59.854]],[\"comment/961\",[]],[\"name/962\",[359,59.854]],[\"comment/962\",[]],[\"name/963\",[360,59.854]],[\"comment/963\",[]],[\"name/964\",[361,59.854]],[\"comment/964\",[]],[\"name/965\",[362,59.854]],[\"comment/965\",[]],[\"name/966\",[363,59.854]],[\"comment/966\",[]],[\"name/967\",[364,59.854]],[\"comment/967\",[]],[\"name/968\",[365,59.854]],[\"comment/968\",[]],[\"name/969\",[366,59.854]],[\"comment/969\",[]],[\"name/970\",[368,64.963]],[\"comment/970\",[]],[\"name/971\",[369,64.963]],[\"comment/971\",[]],[\"name/972\",[370,64.963]],[\"comment/972\",[]],[\"name/973\",[14,30.41]],[\"comment/973\",[]],[\"name/974\",[73,44.594]],[\"comment/974\",[]],[\"name/975\",[71,40.984]],[\"comment/975\",[]],[\"name/976\",[72,40.984]],[\"comment/976\",[]],[\"name/977\",[74,44.594]],[\"comment/977\",[]],[\"name/978\",[75,44.594]],[\"comment/978\",[]],[\"name/979\",[76,44.594]],[\"comment/979\",[]],[\"name/980\",[77,44.594]],[\"comment/980\",[]],[\"name/981\",[78,44.594]],[\"comment/981\",[]],[\"name/982\",[79,44.594]],[\"comment/982\",[]],[\"name/983\",[80,44.594]],[\"comment/983\",[]],[\"name/984\",[81,44.594]],[\"comment/984\",[]],[\"name/985\",[67,44.594]],[\"comment/985\",[]],[\"name/986\",[82,44.594]],[\"comment/986\",[]],[\"name/987\",[83,44.594]],[\"comment/987\",[]],[\"name/988\",[84,44.594]],[\"comment/988\",[]],[\"name/989\",[85,44.594]],[\"comment/989\",[]],[\"name/990\",[86,44.594]],[\"comment/990\",[]],[\"name/991\",[87,44.594]],[\"comment/991\",[]],[\"name/992\",[371,64.963]],[\"comment/992\",[]]],\"invertedIndex\":[[\"__type\",{\"_index\":70,\"name\":{\"100\":{},\"124\":{},\"129\":{},\"133\":{},\"135\":{},\"168\":{},\"205\":{},\"317\":{},\"390\":{},\"432\":{},\"463\":{},\"488\":{},\"490\":{},\"492\":{},\"494\":{},\"496\":{},\"498\":{},\"500\":{},\"502\":{},\"504\":{},\"506\":{},\"508\":{},\"510\":{},\"522\":{},\"564\":{},\"595\":{},\"626\":{},\"758\":{},\"788\":{},\"931\":{},\"941\":{},\"945\":{},\"949\":{},\"960\":{}},\"comment\":{}}],[\"_name\",{\"_index\":73,\"name\":{\"103\":{},\"525\":{},\"567\":{},\"598\":{},\"629\":{},\"652\":{},\"804\":{},\"827\":{},\"866\":{},\"904\":{},\"974\":{}},\"comment\":{}}],[\"abs\",{\"_index\":175,\"name\":{\"357\":{}},\"comment\":{}}],[\"add\",{\"_index\":171,\"name\":{\"353\":{}},\"comment\":{}}],[\"age\",{\"_index\":92,\"name\":{\"125\":{},\"130\":{},\"136\":{}},\"comment\":{}}],[\"ageandgenderprediction\",{\"_index\":91,\"name\":{\"123\":{}},\"comment\":{}}],[\"agegendernet\",{\"_index\":61,\"name\":{\"90\":{},\"766\":{}},\"comment\":{}}],[\"align\",{\"_index\":148,\"name\":{\"252\":{},\"263\":{},\"281\":{}},\"comment\":{}}],[\"allfaces\",{\"_index\":272,\"name\":{\"689\":{}},\"comment\":{}}],[\"allfacesssdmobilenetv1\",{\"_index\":270,\"name\":{\"687\":{}},\"comment\":{}}],[\"allfacestinyyolov2\",{\"_index\":271,\"name\":{\"688\":{}},\"comment\":{}}],[\"anchor\",{\"_index\":42,\"name\":{\"69\":{}},\"comment\":{}}],[\"anchorposition\",{\"_index\":28,\"name\":{\"46\":{},\"52\":{},\"60\":{}},\"comment\":{}}],[\"anchors\",{\"_index\":331,\"name\":{\"856\":{},\"894\":{},\"934\":{}},\"comment\":{}}],[\"angry\",{\"_index\":240,\"name\":{\"548\":{}},\"comment\":{}}],[\"area\",{\"_index\":109,\"name\":{\"155\":{},\"192\":{},\"304\":{},\"377\":{},\"419\":{}},\"comment\":{}}],[\"assertisvalidbox\",{\"_index\":104,\"name\":{\"145\":{},\"182\":{},\"293\":{},\"364\":{},\"409\":{}},\"comment\":{}}],[\"assertisvalidlabeledbox\",{\"_index\":163,\"name\":{\"291\":{},\"362\":{}},\"comment\":{}}],[\"assertisvalidpredictedbox\",{\"_index\":178,\"name\":{\"361\":{}},\"comment\":{}}],[\"assortedarray\",{\"_index\":244,\"name\":{\"552\":{}},\"comment\":{}}],[\"awaitmedialoaded\",{\"_index\":181,\"name\":{\"444\":{}},\"comment\":{}}],[\"backgroundcolor\",{\"_index\":34,\"name\":{\"53\":{},\"61\":{}},\"comment\":{}}],[\"batchnorm\",{\"_index\":352,\"name\":{\"940\":{}},\"comment\":{}}],[\"batchsize\",{\"_index\":204,\"name\":{\"471\":{}},\"comment\":{}}],[\"bn\",{\"_index\":356,\"name\":{\"947\":{}},\"comment\":{}}],[\"bottom\",{\"_index\":101,\"name\":{\"142\":{},\"154\":{},\"191\":{},\"303\":{},\"376\":{},\"418\":{}},\"comment\":{}}],[\"bottom_left\",{\"_index\":31,\"name\":{\"49\":{}},\"comment\":{}}],[\"bottom_right\",{\"_index\":32,\"name\":{\"50\":{}},\"comment\":{}}],[\"bottomleft\",{\"_index\":112,\"name\":{\"158\":{},\"195\":{},\"307\":{},\"380\":{},\"422\":{}},\"comment\":{}}],[\"bottomright\",{\"_index\":113,\"name\":{\"159\":{},\"196\":{},\"308\":{},\"381\":{},\"423\":{}},\"comment\":{}}],[\"boundingbox\",{\"_index\":102,\"name\":{\"143\":{}},\"comment\":{}}],[\"box\",{\"_index\":16,\"name\":{\"21\":{},\"180\":{},\"227\":{},\"234\":{},\"340\":{}},\"comment\":{}}],[\"boxcolor\",{\"_index\":9,\"name\":{\"9\":{},\"15\":{}},\"comment\":{}}],[\"boxencodingsize\",{\"_index\":334,\"name\":{\"860\":{},\"898\":{}},\"comment\":{}}],[\"buffertoimage\",{\"_index\":182,\"name\":{\"445\":{}},\"comment\":{}}],[\"calibrate\",{\"_index\":129,\"name\":{\"179\":{},\"216\":{},\"328\":{},\"401\":{},\"443\":{}},\"comment\":{}}],[\"canvases\",{\"_index\":202,\"name\":{\"469\":{}},\"comment\":{}}],[\"classes\",{\"_index\":348,\"name\":{\"935\":{}},\"comment\":{}}],[\"classname\",{\"_index\":138,\"name\":{\"233\":{},\"339\":{}},\"comment\":{}}],[\"classscore\",{\"_index\":137,\"name\":{\"232\":{},\"338\":{},\"367\":{}},\"comment\":{}}],[\"clipatimageborders\",{\"_index\":118,\"name\":{\"165\":{},\"202\":{},\"314\":{},\"387\":{},\"429\":{}},\"comment\":{}}],[\"composabletask\",{\"_index\":273,\"name\":{\"690\":{}},\"comment\":{}}],[\"computeallfacedescriptorstask\",{\"_index\":277,\"name\":{\"698\":{}},\"comment\":{}}],[\"computefacedescriptor\",{\"_index\":252,\"name\":{\"651\":{},\"772\":{}},\"comment\":{}}],[\"computefacedescriptorstaskbase\",{\"_index\":276,\"name\":{\"694\":{}},\"comment\":{}}],[\"computemeandistance\",{\"_index\":292,\"name\":{\"753\":{}},\"comment\":{}}],[\"computereshapeddimensions\",{\"_index\":56,\"name\":{\"85\":{}},\"comment\":{}}],[\"computesinglefacedescriptortask\",{\"_index\":279,\"name\":{\"704\":{}},\"comment\":{}}],[\"config\",{\"_index\":332,\"name\":{\"858\":{},\"896\":{}},\"comment\":{}}],[\"constructor\",{\"_index\":14,\"name\":{\"14\":{},\"20\":{},\"33\":{},\"41\":{},\"59\":{},\"67\":{},\"91\":{},\"146\":{},\"183\":{},\"221\":{},\"229\":{},\"243\":{},\"254\":{},\"265\":{},\"286\":{},\"294\":{},\"331\":{},\"336\":{},\"350\":{},\"365\":{},\"410\":{},\"467\":{},\"513\":{},\"544\":{},\"554\":{},\"585\":{},\"616\":{},\"648\":{},\"691\":{},\"695\":{},\"699\":{},\"705\":{},\"713\":{},\"717\":{},\"724\":{},\"731\":{},\"735\":{},\"742\":{},\"750\":{},\"800\":{},\"823\":{},\"849\":{},\"855\":{},\"886\":{},\"892\":{},\"926\":{},\"973\":{}},\"comment\":{}}],[\"conv\",{\"_index\":355,\"name\":{\"946\":{}},\"comment\":{}}],[\"conv0\",{\"_index\":358,\"name\":{\"950\":{},\"961\":{}},\"comment\":{}}],[\"conv1\",{\"_index\":359,\"name\":{\"951\":{},\"962\":{}},\"comment\":{}}],[\"conv2\",{\"_index\":360,\"name\":{\"952\":{},\"963\":{}},\"comment\":{}}],[\"conv3\",{\"_index\":361,\"name\":{\"953\":{},\"964\":{}},\"comment\":{}}],[\"conv4\",{\"_index\":362,\"name\":{\"954\":{},\"965\":{}},\"comment\":{}}],[\"conv5\",{\"_index\":363,\"name\":{\"955\":{},\"966\":{}},\"comment\":{}}],[\"conv6\",{\"_index\":364,\"name\":{\"956\":{},\"967\":{}},\"comment\":{}}],[\"conv7\",{\"_index\":365,\"name\":{\"957\":{},\"968\":{}},\"comment\":{}}],[\"conv8\",{\"_index\":366,\"name\":{\"958\":{},\"969\":{}},\"comment\":{}}],[\"convwithbatchnorm\",{\"_index\":354,\"name\":{\"944\":{}},\"comment\":{}}],[\"createbrowserenv\",{\"_index\":224,\"name\":{\"495\":{}},\"comment\":{}}],[\"createcanvas\",{\"_index\":183,\"name\":{\"446\":{}},\"comment\":{}}],[\"createcanvasfrommedia\",{\"_index\":184,\"name\":{\"447\":{}},\"comment\":{}}],[\"createfacedetectionnet\",{\"_index\":323,\"name\":{\"798\":{}},\"comment\":{}}],[\"createfacerecognitionnet\",{\"_index\":250,\"name\":{\"646\":{}},\"comment\":{}}],[\"createfilesystem\",{\"_index\":225,\"name\":{\"497\":{}},\"comment\":{}}],[\"createnodejsenv\",{\"_index\":226,\"name\":{\"499\":{}},\"comment\":{}}],[\"createssdmobilenetv1\",{\"_index\":322,\"name\":{\"797\":{}},\"comment\":{}}],[\"createtinyfacedetector\",{\"_index\":329,\"name\":{\"852\":{}},\"comment\":{}}],[\"createtinyyolov2\",{\"_index\":341,\"name\":{\"889\":{}},\"comment\":{}}],[\"default_filter_sizes\",{\"_index\":330,\"name\":{\"854\":{},\"891\":{}},\"comment\":{}}],[\"defaulttinyyolov2netparams\",{\"_index\":367,\"name\":{\"959\":{}},\"comment\":{}}],[\"descriptors\",{\"_index\":166,\"name\":{\"333\":{}},\"comment\":{}}],[\"detect\",{\"_index\":337,\"name\":{\"865\":{},\"903\":{}},\"comment\":{}}],[\"detectallfacelandmarkstask\",{\"_index\":286,\"name\":{\"734\":{}},\"comment\":{}}],[\"detectallfaces\",{\"_index\":281,\"name\":{\"711\":{}},\"comment\":{}}],[\"detectallfacestask\",{\"_index\":283,\"name\":{\"716\":{}},\"comment\":{}}],[\"detectfacelandmarks\",{\"_index\":299,\"name\":{\"770\":{}},\"comment\":{}}],[\"detectfacelandmarkstaskbase\",{\"_index\":285,\"name\":{\"730\":{}},\"comment\":{}}],[\"detectfacelandmarkstiny\",{\"_index\":300,\"name\":{\"771\":{}},\"comment\":{}}],[\"detectfacestaskbase\",{\"_index\":282,\"name\":{\"712\":{}},\"comment\":{}}],[\"detectlandmarks\",{\"_index\":247,\"name\":{\"558\":{},\"589\":{},\"620\":{},\"785\":{}},\"comment\":{}}],[\"detectsingleface\",{\"_index\":280,\"name\":{\"710\":{}},\"comment\":{}}],[\"detectsinglefacelandmarkstask\",{\"_index\":288,\"name\":{\"741\":{}},\"comment\":{}}],[\"detectsinglefacetask\",{\"_index\":284,\"name\":{\"723\":{}},\"comment\":{}}],[\"dimensions\",{\"_index\":131,\"name\":{\"220\":{}},\"comment\":{}}],[\"disgusted\",{\"_index\":242,\"name\":{\"550\":{}},\"comment\":{}}],[\"dispose\",{\"_index\":67,\"name\":{\"97\":{},\"519\":{},\"561\":{},\"592\":{},\"623\":{},\"663\":{},\"815\":{},\"838\":{},\"877\":{},\"915\":{},\"985\":{}},\"comment\":{}}],[\"distance\",{\"_index\":159,\"name\":{\"284\":{},\"288\":{}},\"comment\":{}}],[\"distancethreshold\",{\"_index\":291,\"name\":{\"752\":{}},\"comment\":{}}],[\"div\",{\"_index\":174,\"name\":{\"356\":{}},\"comment\":{}}],[\"draw\",{\"_index\":2,\"name\":{\"2\":{},\"23\":{},\"44\":{},\"74\":{}},\"comment\":{}}],[\"drawbox\",{\"_index\":15,\"name\":{\"19\":{}},\"comment\":{}}],[\"drawboxoptions\",{\"_index\":13,\"name\":{\"13\":{}},\"comment\":{}}],[\"drawcontour\",{\"_index\":3,\"name\":{\"3\":{}},\"comment\":{}}],[\"drawdetections\",{\"_index\":4,\"name\":{\"4\":{}},\"comment\":{}}],[\"drawfaceexpressions\",{\"_index\":6,\"name\":{\"6\":{}},\"comment\":{}}],[\"drawfaceexpressionsinput\",{\"_index\":7,\"name\":{\"7\":{}},\"comment\":{}}],[\"drawfacelandmarks\",{\"_index\":18,\"name\":{\"24\":{},\"40\":{}},\"comment\":{}}],[\"drawfacelandmarksinput\",{\"_index\":27,\"name\":{\"45\":{}},\"comment\":{}}],[\"drawfacelandmarksoptions\",{\"_index\":25,\"name\":{\"32\":{}},\"comment\":{}}],[\"drawlabeloptions\",{\"_index\":11,\"name\":{\"11\":{},\"17\":{}},\"comment\":{}}],[\"drawlines\",{\"_index\":20,\"name\":{\"26\":{},\"34\":{}},\"comment\":{}}],[\"drawpoints\",{\"_index\":21,\"name\":{\"27\":{},\"35\":{}},\"comment\":{}}],[\"drawtextfield\",{\"_index\":40,\"name\":{\"66\":{}},\"comment\":{}}],[\"drawtextfieldoptions\",{\"_index\":39,\"name\":{\"58\":{}},\"comment\":{}}],[\"dx\",{\"_index\":123,\"name\":{\"171\":{},\"208\":{},\"320\":{},\"393\":{},\"435\":{}},\"comment\":{}}],[\"dy\",{\"_index\":121,\"name\":{\"169\":{},\"206\":{},\"318\":{},\"391\":{},\"433\":{}},\"comment\":{}}],[\"edx\",{\"_index\":124,\"name\":{\"172\":{},\"209\":{},\"321\":{},\"394\":{},\"436\":{}},\"comment\":{}}],[\"edy\",{\"_index\":122,\"name\":{\"170\":{},\"207\":{},\"319\":{},\"392\":{},\"434\":{}},\"comment\":{}}],[\"env\",{\"_index\":220,\"name\":{\"487\":{}},\"comment\":{}}],[\"environment\",{\"_index\":232,\"name\":{\"511\":{}},\"comment\":{}}],[\"euclideandistance\",{\"_index\":369,\"name\":{\"971\":{}},\"comment\":{}}],[\"ex\",{\"_index\":126,\"name\":{\"176\":{},\"213\":{},\"325\":{},\"398\":{},\"440\":{}},\"comment\":{}}],[\"extendwithage\",{\"_index\":265,\"name\":{\"682\":{}},\"comment\":{}}],[\"extendwithfacedescriptor\",{\"_index\":253,\"name\":{\"670\":{}},\"comment\":{}}],[\"extendwithfacedetection\",{\"_index\":256,\"name\":{\"673\":{}},\"comment\":{}}],[\"extendwithfaceexpressions\",{\"_index\":259,\"name\":{\"676\":{}},\"comment\":{}}],[\"extendwithfacelandmarks\",{\"_index\":262,\"name\":{\"679\":{}},\"comment\":{}}],[\"extendwithgender\",{\"_index\":268,\"name\":{\"685\":{}},\"comment\":{}}],[\"extractclassifierparams\",{\"_index\":69,\"name\":{\"99\":{},\"521\":{},\"563\":{},\"594\":{},\"625\":{}},\"comment\":{}}],[\"extractfaces\",{\"_index\":185,\"name\":{\"448\":{}},\"comment\":{}}],[\"extractfacetensors\",{\"_index\":186,\"name\":{\"449\":{}},\"comment\":{}}],[\"extractweights\",{\"_index\":87,\"name\":{\"119\":{},\"541\":{},\"583\":{},\"614\":{},\"645\":{},\"669\":{},\"821\":{},\"844\":{},\"883\":{},\"921\":{},\"991\":{}},\"comment\":{}}],[\"ey\",{\"_index\":125,\"name\":{\"174\":{},\"211\":{},\"323\":{},\"396\":{},\"438\":{}},\"comment\":{}}],[\"face_expression_labels\",{\"_index\":235,\"name\":{\"542\":{}},\"comment\":{}}],[\"facedetection\",{\"_index\":135,\"name\":{\"228\":{}},\"comment\":{}}],[\"facedetectionfunction\",{\"_index\":313,\"name\":{\"787\":{}},\"comment\":{}}],[\"facedetectionnet\",{\"_index\":324,\"name\":{\"799\":{}},\"comment\":{}}],[\"facedetectionoptions\",{\"_index\":312,\"name\":{\"786\":{}},\"comment\":{}}],[\"faceexpressionnet\",{\"_index\":233,\"name\":{\"512\":{},\"765\":{}},\"comment\":{}}],[\"faceexpressions\",{\"_index\":236,\"name\":{\"543\":{}},\"comment\":{}}],[\"facefeatureextractor\",{\"_index\":62,\"name\":{\"92\":{},\"517\":{},\"559\":{},\"590\":{},\"621\":{}},\"comment\":{}}],[\"facelandmark68net\",{\"_index\":248,\"name\":{\"584\":{},\"762\":{}},\"comment\":{}}],[\"facelandmark68tinynet\",{\"_index\":249,\"name\":{\"615\":{},\"763\":{}},\"comment\":{}}],[\"facelandmarknet\",{\"_index\":245,\"name\":{\"553\":{}},\"comment\":{}}],[\"facelandmarks\",{\"_index\":26,\"name\":{\"42\":{},\"242\":{}},\"comment\":{}}],[\"facelandmarks5\",{\"_index\":149,\"name\":{\"253\":{}},\"comment\":{}}],[\"facelandmarks68\",{\"_index\":150,\"name\":{\"264\":{}},\"comment\":{}}],[\"facematch\",{\"_index\":160,\"name\":{\"285\":{}},\"comment\":{}}],[\"facematcher\",{\"_index\":289,\"name\":{\"748\":{}},\"comment\":{}}],[\"facerecognitionnet\",{\"_index\":251,\"name\":{\"647\":{},\"764\":{}},\"comment\":{}}],[\"fc\",{\"_index\":96,\"name\":{\"134\":{}},\"comment\":{}}],[\"fearful\",{\"_index\":241,\"name\":{\"549\":{}},\"comment\":{}}],[\"female\",{\"_index\":89,\"name\":{\"121\":{}},\"comment\":{}}],[\"fetchimage\",{\"_index\":187,\"name\":{\"450\":{}},\"comment\":{}}],[\"fetchjson\",{\"_index\":188,\"name\":{\"451\":{}},\"comment\":{}}],[\"fetchnetweights\",{\"_index\":189,\"name\":{\"452\":{}},\"comment\":{}}],[\"fetchorthrow\",{\"_index\":190,\"name\":{\"453\":{}},\"comment\":{}}],[\"fetchvideo\",{\"_index\":191,\"name\":{\"454\":{}},\"comment\":{}}],[\"filesystem\",{\"_index\":230,\"name\":{\"507\":{}},\"comment\":{}}],[\"filtersizes\",{\"_index\":350,\"name\":{\"938\":{}},\"comment\":{}}],[\"findbestmatch\",{\"_index\":294,\"name\":{\"755\":{}},\"comment\":{}}],[\"floor\",{\"_index\":114,\"name\":{\"161\":{},\"198\":{},\"310\":{},\"359\":{},\"383\":{},\"425\":{}},\"comment\":{}}],[\"fontcolor\",{\"_index\":35,\"name\":{\"54\":{},\"62\":{}},\"comment\":{}}],[\"fontsize\",{\"_index\":36,\"name\":{\"55\":{},\"63\":{}},\"comment\":{}}],[\"fontstyle\",{\"_index\":37,\"name\":{\"56\":{},\"64\":{}},\"comment\":{}}],[\"forsize\",{\"_index\":136,\"name\":{\"230\":{},\"249\":{},\"260\":{},\"278\":{},\"345\":{}},\"comment\":{}}],[\"forward\",{\"_index\":65,\"name\":{\"95\":{},\"515\":{},\"557\":{},\"588\":{},\"619\":{},\"650\":{},\"802\":{},\"825\":{},\"864\":{},\"902\":{}},\"comment\":{}}],[\"forwardinput\",{\"_index\":64,\"name\":{\"94\":{},\"514\":{},\"556\":{},\"587\":{},\"618\":{},\"649\":{},\"801\":{},\"824\":{},\"863\":{},\"901\":{}},\"comment\":{}}],[\"freeze\",{\"_index\":81,\"name\":{\"113\":{},\"535\":{},\"577\":{},\"608\":{},\"639\":{},\"662\":{},\"814\":{},\"837\":{},\"876\":{},\"914\":{},\"984\":{}},\"comment\":{}}],[\"fromjson\",{\"_index\":165,\"name\":{\"330\":{},\"749\":{}},\"comment\":{}}],[\"gender\",{\"_index\":88,\"name\":{\"120\":{},\"126\":{},\"131\":{},\"137\":{}},\"comment\":{}}],[\"genderprobability\",{\"_index\":93,\"name\":{\"127\":{}},\"comment\":{}}],[\"getcenterpoint\",{\"_index\":57,\"name\":{\"86\":{}},\"comment\":{}}],[\"getcontext2dorthrow\",{\"_index\":192,\"name\":{\"455\":{}},\"comment\":{}}],[\"getenv\",{\"_index\":221,\"name\":{\"489\":{}},\"comment\":{}}],[\"getfrozenparams\",{\"_index\":79,\"name\":{\"111\":{},\"533\":{},\"575\":{},\"606\":{},\"637\":{},\"660\":{},\"812\":{},\"835\":{},\"874\":{},\"912\":{},\"982\":{}},\"comment\":{}}],[\"getinput\",{\"_index\":208,\"name\":{\"475\":{}},\"comment\":{}}],[\"getinputdimensions\",{\"_index\":209,\"name\":{\"476\":{}},\"comment\":{}}],[\"getinputheight\",{\"_index\":210,\"name\":{\"477\":{}},\"comment\":{}}],[\"getinputwidth\",{\"_index\":211,\"name\":{\"478\":{}},\"comment\":{}}],[\"getjawoutline\",{\"_index\":151,\"name\":{\"266\":{}},\"comment\":{}}],[\"getlefteye\",{\"_index\":155,\"name\":{\"270\":{}},\"comment\":{}}],[\"getlefteyebrow\",{\"_index\":152,\"name\":{\"267\":{}},\"comment\":{}}],[\"getmediadimensions\",{\"_index\":193,\"name\":{\"456\":{}},\"comment\":{}}],[\"getmouth\",{\"_index\":157,\"name\":{\"272\":{}},\"comment\":{}}],[\"getnose\",{\"_index\":154,\"name\":{\"269\":{}},\"comment\":{}}],[\"getparamfrompath\",{\"_index\":75,\"name\":{\"107\":{},\"529\":{},\"571\":{},\"602\":{},\"633\":{},\"656\":{},\"808\":{},\"831\":{},\"870\":{},\"908\":{},\"978\":{}},\"comment\":{}}],[\"getparamlist\",{\"_index\":77,\"name\":{\"109\":{},\"531\":{},\"573\":{},\"604\":{},\"635\":{},\"658\":{},\"810\":{},\"833\":{},\"872\":{},\"910\":{},\"980\":{}},\"comment\":{}}],[\"getreshapedinputdimensions\",{\"_index\":212,\"name\":{\"479\":{}},\"comment\":{}}],[\"getrighteye\",{\"_index\":156,\"name\":{\"271\":{}},\"comment\":{}}],[\"getrighteyebrow\",{\"_index\":153,\"name\":{\"268\":{}},\"comment\":{}}],[\"gettrainableparams\",{\"_index\":78,\"name\":{\"110\":{},\"532\":{},\"574\":{},\"605\":{},\"636\":{},\"659\":{},\"811\":{},\"834\":{},\"873\":{},\"911\":{},\"981\":{}},\"comment\":{}}],[\"getupperleft\",{\"_index\":45,\"name\":{\"73\":{}},\"comment\":{}}],[\"h\",{\"_index\":128,\"name\":{\"178\":{},\"215\":{},\"327\":{},\"400\":{},\"442\":{}},\"comment\":{}}],[\"happy\",{\"_index\":238,\"name\":{\"546\":{}},\"comment\":{}}],[\"height\",{\"_index\":108,\"name\":{\"150\":{},\"187\":{},\"219\":{},\"223\":{},\"299\":{},\"372\":{},\"406\":{},\"414\":{},\"465\":{}},\"comment\":{}}],[\"iboundingbox\",{\"_index\":97,\"name\":{\"138\":{}},\"comment\":{}}],[\"idimensions\",{\"_index\":130,\"name\":{\"217\":{}},\"comment\":{}}],[\"idrawboxoptions\",{\"_index\":8,\"name\":{\"8\":{}},\"comment\":{}}],[\"idrawfacelandmarksoptions\",{\"_index\":19,\"name\":{\"25\":{}},\"comment\":{}}],[\"idrawtextfieldoptions\",{\"_index\":33,\"name\":{\"51\":{}},\"comment\":{}}],[\"ifacedetecion\",{\"_index\":133,\"name\":{\"225\":{}},\"comment\":{}}],[\"ifacelandmarks\",{\"_index\":143,\"name\":{\"239\":{}},\"comment\":{}}],[\"ifacematch\",{\"_index\":158,\"name\":{\"282\":{}},\"comment\":{}}],[\"imagedims\",{\"_index\":139,\"name\":{\"235\":{},\"341\":{}},\"comment\":{}}],[\"imageheight\",{\"_index\":141,\"name\":{\"237\":{},\"246\":{},\"257\":{},\"275\":{},\"343\":{}},\"comment\":{}}],[\"imagetensors\",{\"_index\":201,\"name\":{\"468\":{}},\"comment\":{}}],[\"imagetensortocanvas\",{\"_index\":194,\"name\":{\"457\":{}},\"comment\":{}}],[\"imagetosquare\",{\"_index\":195,\"name\":{\"458\":{}},\"comment\":{}}],[\"imagewidth\",{\"_index\":140,\"name\":{\"236\":{},\"245\":{},\"256\":{},\"274\":{},\"342\":{}},\"comment\":{}}],[\"initialize\",{\"_index\":223,\"name\":{\"493\":{}},\"comment\":{}}],[\"inputdimensions\",{\"_index\":205,\"name\":{\"472\":{}},\"comment\":{}}],[\"inputsize\",{\"_index\":206,\"name\":{\"473\":{},\"887\":{},\"923\":{},\"927\":{}},\"comment\":{}}],[\"inversesigmoid\",{\"_index\":315,\"name\":{\"790\":{}},\"comment\":{}}],[\"iou\",{\"_index\":316,\"name\":{\"791\":{}},\"comment\":{}}],[\"iouthreshold\",{\"_index\":347,\"name\":{\"933\":{}},\"comment\":{}}],[\"ipoint\",{\"_index\":169,\"name\":{\"346\":{}},\"comment\":{}}],[\"irect\",{\"_index\":179,\"name\":{\"402\":{}},\"comment\":{}}],[\"isbatchinput\",{\"_index\":203,\"name\":{\"470\":{}},\"comment\":{}}],[\"isbrowser\",{\"_index\":228,\"name\":{\"503\":{}},\"comment\":{}}],[\"isdimensions\",{\"_index\":55,\"name\":{\"84\":{}},\"comment\":{}}],[\"iseven\",{\"_index\":53,\"name\":{\"82\":{}},\"comment\":{}}],[\"isfirstlayerconv2d\",{\"_index\":351,\"name\":{\"939\":{}},\"comment\":{}}],[\"isfloat\",{\"_index\":52,\"name\":{\"81\":{}},\"comment\":{}}],[\"isloaded\",{\"_index\":74,\"name\":{\"106\":{},\"528\":{},\"570\":{},\"601\":{},\"632\":{},\"655\":{},\"807\":{},\"830\":{},\"869\":{},\"907\":{},\"977\":{}},\"comment\":{}}],[\"ismediaelement\",{\"_index\":196,\"name\":{\"459\":{}},\"comment\":{}}],[\"ismedialoaded\",{\"_index\":197,\"name\":{\"460\":{}},\"comment\":{}}],[\"isnodejs\",{\"_index\":229,\"name\":{\"505\":{}},\"comment\":{}}],[\"isrect\",{\"_index\":103,\"name\":{\"144\":{},\"181\":{},\"292\":{},\"363\":{},\"408\":{}},\"comment\":{}}],[\"issdmobilenetv1options\",{\"_index\":325,\"name\":{\"845\":{}},\"comment\":{}}],[\"istensor\",{\"_index\":47,\"name\":{\"76\":{}},\"comment\":{}}],[\"istensor1d\",{\"_index\":48,\"name\":{\"77\":{}},\"comment\":{}}],[\"istensor2d\",{\"_index\":49,\"name\":{\"78\":{}},\"comment\":{}}],[\"istensor3d\",{\"_index\":50,\"name\":{\"79\":{}},\"comment\":{}}],[\"istensor4d\",{\"_index\":51,\"name\":{\"80\":{}},\"comment\":{}}],[\"isvalidnumber\",{\"_index\":59,\"name\":{\"88\":{}},\"comment\":{}}],[\"isvalidprobablitiy\",{\"_index\":60,\"name\":{\"89\":{}},\"comment\":{}}],[\"iswithage\",{\"_index\":264,\"name\":{\"681\":{}},\"comment\":{}}],[\"iswithfacedetection\",{\"_index\":255,\"name\":{\"672\":{}},\"comment\":{}}],[\"iswithfaceexpressions\",{\"_index\":258,\"name\":{\"675\":{}},\"comment\":{}}],[\"iswithfacelandmarks\",{\"_index\":261,\"name\":{\"678\":{}},\"comment\":{}}],[\"iswithgender\",{\"_index\":267,\"name\":{\"684\":{}},\"comment\":{}}],[\"itinyfacedetectoroptions\",{\"_index\":338,\"name\":{\"884\":{}},\"comment\":{}}],[\"itinyyolov2options\",{\"_index\":343,\"name\":{\"922\":{}},\"comment\":{}}],[\"label\",{\"_index\":12,\"name\":{\"12\":{},\"18\":{},\"283\":{},\"287\":{},\"295\":{},\"332\":{},\"368\":{}},\"comment\":{}}],[\"labeledbox\",{\"_index\":162,\"name\":{\"290\":{}},\"comment\":{}}],[\"labeleddescriptors\",{\"_index\":290,\"name\":{\"751\":{}},\"comment\":{}}],[\"labeledfacedescriptors\",{\"_index\":164,\"name\":{\"329\":{}},\"comment\":{}}],[\"left\",{\"_index\":98,\"name\":{\"139\":{},\"151\":{},\"188\":{},\"300\":{},\"373\":{},\"415\":{}},\"comment\":{}}],[\"linecolor\",{\"_index\":23,\"name\":{\"30\":{},\"38\":{}},\"comment\":{}}],[\"linewidth\",{\"_index\":10,\"name\":{\"10\":{},\"16\":{},\"28\":{},\"36\":{}},\"comment\":{}}],[\"load\",{\"_index\":83,\"name\":{\"115\":{},\"537\":{},\"579\":{},\"610\":{},\"641\":{},\"665\":{},\"817\":{},\"840\":{},\"879\":{},\"917\":{},\"987\":{}},\"comment\":{}}],[\"loadagegendermodel\",{\"_index\":309,\"name\":{\"782\":{}},\"comment\":{}}],[\"loadclassifierparams\",{\"_index\":68,\"name\":{\"98\":{},\"520\":{},\"562\":{},\"593\":{},\"624\":{}},\"comment\":{}}],[\"loadfacedetectionmodel\",{\"_index\":310,\"name\":{\"783\":{}},\"comment\":{}}],[\"loadfaceexpressionmodel\",{\"_index\":308,\"name\":{\"781\":{}},\"comment\":{}}],[\"loadfacelandmarkmodel\",{\"_index\":305,\"name\":{\"778\":{}},\"comment\":{}}],[\"loadfacelandmarktinymodel\",{\"_index\":306,\"name\":{\"779\":{}},\"comment\":{}}],[\"loadfacerecognitionmodel\",{\"_index\":307,\"name\":{\"780\":{}},\"comment\":{}}],[\"loadfromdisk\",{\"_index\":85,\"name\":{\"117\":{},\"539\":{},\"581\":{},\"612\":{},\"643\":{},\"667\":{},\"819\":{},\"842\":{},\"881\":{},\"919\":{},\"989\":{}},\"comment\":{}}],[\"loadfromuri\",{\"_index\":84,\"name\":{\"116\":{},\"538\":{},\"580\":{},\"611\":{},\"642\":{},\"666\":{},\"818\":{},\"841\":{},\"880\":{},\"918\":{},\"988\":{}},\"comment\":{}}],[\"loadfromweightmap\",{\"_index\":86,\"name\":{\"118\":{},\"540\":{},\"582\":{},\"613\":{},\"644\":{},\"668\":{},\"820\":{},\"843\":{},\"882\":{},\"920\":{},\"990\":{}},\"comment\":{}}],[\"loadssdmobilenetv1model\",{\"_index\":302,\"name\":{\"775\":{}},\"comment\":{}}],[\"loadtinyfacedetectormodel\",{\"_index\":303,\"name\":{\"776\":{}},\"comment\":{}}],[\"loadtinyyolov2model\",{\"_index\":304,\"name\":{\"777\":{}},\"comment\":{}}],[\"loadweightmap\",{\"_index\":198,\"name\":{\"461\":{}},\"comment\":{}}],[\"locatefaces\",{\"_index\":311,\"name\":{\"784\":{},\"803\":{},\"826\":{},\"857\":{},\"895\":{}},\"comment\":{}}],[\"magnitude\",{\"_index\":176,\"name\":{\"358\":{}},\"comment\":{}}],[\"male\",{\"_index\":90,\"name\":{\"122\":{}},\"comment\":{}}],[\"matchdescriptor\",{\"_index\":293,\"name\":{\"754\":{}},\"comment\":{}}],[\"matchdimensions\",{\"_index\":199,\"name\":{\"462\":{}},\"comment\":{}}],[\"maxresults\",{\"_index\":327,\"name\":{\"847\":{},\"851\":{}},\"comment\":{}}],[\"meanrgb\",{\"_index\":349,\"name\":{\"936\":{}},\"comment\":{}}],[\"measureheight\",{\"_index\":44,\"name\":{\"72\":{}},\"comment\":{}}],[\"measurewidth\",{\"_index\":43,\"name\":{\"71\":{}},\"comment\":{}}],[\"minbbox\",{\"_index\":317,\"name\":{\"792\":{}},\"comment\":{}}],[\"minconfidence\",{\"_index\":326,\"name\":{\"846\":{},\"850\":{}},\"comment\":{}}],[\"mobilenetparams\",{\"_index\":357,\"name\":{\"948\":{}},\"comment\":{}}],[\"monkeypatch\",{\"_index\":227,\"name\":{\"501\":{}},\"comment\":{}}],[\"mul\",{\"_index\":173,\"name\":{\"355\":{}},\"comment\":{}}],[\"netinput\",{\"_index\":200,\"name\":{\"466\":{}},\"comment\":{}}],[\"netoutput\",{\"_index\":94,\"name\":{\"128\":{}},\"comment\":{}}],[\"netparams\",{\"_index\":95,\"name\":{\"132\":{}},\"comment\":{}}],[\"nets\",{\"_index\":295,\"name\":{\"757\":{}},\"comment\":{}}],[\"neuralnetwork\",{\"_index\":370,\"name\":{\"972\":{}},\"comment\":{}}],[\"neutral\",{\"_index\":237,\"name\":{\"545\":{}},\"comment\":{}}],[\"nonmaxsuppression\",{\"_index\":318,\"name\":{\"793\":{}},\"comment\":{}}],[\"normalize\",{\"_index\":319,\"name\":{\"794\":{}},\"comment\":{}}],[\"objectdetection\",{\"_index\":168,\"name\":{\"335\":{}},\"comment\":{}}],[\"options\",{\"_index\":17,\"name\":{\"22\":{},\"43\":{},\"70\":{}},\"comment\":{}}],[\"pad\",{\"_index\":117,\"name\":{\"164\":{},\"201\":{},\"313\":{},\"386\":{},\"428\":{}},\"comment\":{}}],[\"padatborders\",{\"_index\":120,\"name\":{\"167\":{},\"204\":{},\"316\":{},\"389\":{},\"431\":{}},\"comment\":{}}],[\"padding\",{\"_index\":38,\"name\":{\"57\":{},\"65\":{}},\"comment\":{}}],[\"padtosquare\",{\"_index\":320,\"name\":{\"795\":{}},\"comment\":{}}],[\"parammappings\",{\"_index\":72,\"name\":{\"102\":{},\"105\":{},\"524\":{},\"527\":{},\"566\":{},\"569\":{},\"597\":{},\"600\":{},\"628\":{},\"631\":{},\"654\":{},\"806\":{},\"829\":{},\"868\":{},\"906\":{},\"976\":{}},\"comment\":{}}],[\"params\",{\"_index\":71,\"name\":{\"101\":{},\"104\":{},\"523\":{},\"526\":{},\"565\":{},\"568\":{},\"596\":{},\"599\":{},\"627\":{},\"630\":{},\"653\":{},\"805\":{},\"828\":{},\"867\":{},\"905\":{},\"975\":{}},\"comment\":{}}],[\"point\",{\"_index\":170,\"name\":{\"349\":{}},\"comment\":{}}],[\"pointcolor\",{\"_index\":24,\"name\":{\"31\":{},\"39\":{}},\"comment\":{}}],[\"pointsize\",{\"_index\":22,\"name\":{\"29\":{},\"37\":{}},\"comment\":{}}],[\"positions\",{\"_index\":144,\"name\":{\"240\":{},\"247\":{},\"258\":{},\"276\":{}},\"comment\":{}}],[\"postprocess\",{\"_index\":246,\"name\":{\"555\":{},\"586\":{},\"617\":{}},\"comment\":{}}],[\"predictageandgender\",{\"_index\":66,\"name\":{\"96\":{},\"774\":{}},\"comment\":{}}],[\"predictedbox\",{\"_index\":177,\"name\":{\"360\":{}},\"comment\":{}}],[\"predictexpressions\",{\"_index\":234,\"name\":{\"516\":{}},\"comment\":{}}],[\"range\",{\"_index\":58,\"name\":{\"87\":{}},\"comment\":{}}],[\"readfile\",{\"_index\":231,\"name\":{\"509\":{}},\"comment\":{}}],[\"reassignparamfrompath\",{\"_index\":76,\"name\":{\"108\":{},\"530\":{},\"572\":{},\"603\":{},\"634\":{},\"657\":{},\"809\":{},\"832\":{},\"871\":{},\"909\":{},\"979\":{}},\"comment\":{}}],[\"recognizefaceexpressions\",{\"_index\":301,\"name\":{\"773\":{}},\"comment\":{}}],[\"rect\",{\"_index\":180,\"name\":{\"407\":{}},\"comment\":{}}],[\"relativebox\",{\"_index\":142,\"name\":{\"238\":{},\"344\":{}},\"comment\":{}}],[\"relativepositions\",{\"_index\":145,\"name\":{\"248\":{},\"259\":{},\"277\":{}},\"comment\":{}}],[\"rescale\",{\"_index\":116,\"name\":{\"163\":{},\"200\":{},\"312\":{},\"385\":{},\"427\":{}},\"comment\":{}}],[\"reshapedinputdimensions\",{\"_index\":207,\"name\":{\"474\":{}},\"comment\":{}}],[\"resizeresults\",{\"_index\":371,\"name\":{\"992\":{}},\"comment\":{}}],[\"resolveinput\",{\"_index\":214,\"name\":{\"481\":{}},\"comment\":{}}],[\"reverse\",{\"_index\":132,\"name\":{\"224\":{}},\"comment\":{}}],[\"right\",{\"_index\":100,\"name\":{\"141\":{},\"153\":{},\"190\":{},\"302\":{},\"375\":{},\"417\":{}},\"comment\":{}}],[\"round\",{\"_index\":54,\"name\":{\"83\":{},\"160\":{},\"197\":{},\"309\":{},\"382\":{},\"424\":{}},\"comment\":{}}],[\"run\",{\"_index\":275,\"name\":{\"693\":{},\"697\":{},\"700\":{},\"706\":{},\"715\":{},\"718\":{},\"725\":{},\"733\":{},\"736\":{},\"743\":{}},\"comment\":{}}],[\"runmobilenet\",{\"_index\":336,\"name\":{\"862\":{},\"900\":{}},\"comment\":{}}],[\"runnet\",{\"_index\":63,\"name\":{\"93\":{},\"518\":{},\"560\":{},\"591\":{},\"622\":{}},\"comment\":{}}],[\"runtinyyolov2\",{\"_index\":335,\"name\":{\"861\":{},\"899\":{}},\"comment\":{}}],[\"sad\",{\"_index\":239,\"name\":{\"547\":{}},\"comment\":{}}],[\"score\",{\"_index\":134,\"name\":{\"226\":{},\"231\":{},\"337\":{},\"366\":{}},\"comment\":{}}],[\"scorethreshold\",{\"_index\":340,\"name\":{\"888\":{},\"924\":{},\"928\":{}},\"comment\":{}}],[\"serializeparams\",{\"_index\":82,\"name\":{\"114\":{},\"536\":{},\"578\":{},\"609\":{},\"640\":{},\"664\":{},\"816\":{},\"839\":{},\"878\":{},\"916\":{},\"986\":{}},\"comment\":{}}],[\"setenv\",{\"_index\":222,\"name\":{\"491\":{}},\"comment\":{}}],[\"shift\",{\"_index\":119,\"name\":{\"166\":{},\"203\":{},\"241\":{},\"244\":{},\"255\":{},\"273\":{},\"315\":{},\"388\":{},\"430\":{}},\"comment\":{}}],[\"shiftby\",{\"_index\":146,\"name\":{\"250\":{},\"261\":{},\"279\":{}},\"comment\":{}}],[\"shiftbypoint\",{\"_index\":147,\"name\":{\"251\":{},\"262\":{},\"280\":{}},\"comment\":{}}],[\"shufflearray\",{\"_index\":321,\"name\":{\"796\":{}},\"comment\":{}}],[\"sigmoid\",{\"_index\":314,\"name\":{\"789\":{}},\"comment\":{}}],[\"ssdmobilenetv1\",{\"_index\":296,\"name\":{\"759\":{},\"767\":{},\"822\":{}},\"comment\":{}}],[\"ssdmobilenetv1options\",{\"_index\":328,\"name\":{\"848\":{}},\"comment\":{}}],[\"sub\",{\"_index\":172,\"name\":{\"354\":{},\"942\":{}},\"comment\":{}}],[\"surprised\",{\"_index\":243,\"name\":{\"551\":{}},\"comment\":{}}],[\"tdrawdetectionsinput\",{\"_index\":5,\"name\":{\"5\":{}},\"comment\":{}}],[\"text\",{\"_index\":41,\"name\":{\"68\":{}},\"comment\":{}}],[\"tf\",{\"_index\":1,\"name\":{\"1\":{}},\"comment\":{}}],[\"then\",{\"_index\":274,\"name\":{\"692\":{},\"696\":{},\"703\":{},\"709\":{},\"714\":{},\"722\":{},\"729\":{},\"732\":{},\"740\":{},\"747\":{}},\"comment\":{}}],[\"tinyfacedetector\",{\"_index\":297,\"name\":{\"760\":{},\"768\":{},\"853\":{}},\"comment\":{}}],[\"tinyfacedetectoroptions\",{\"_index\":339,\"name\":{\"885\":{}},\"comment\":{}}],[\"tinyyolov2\",{\"_index\":298,\"name\":{\"761\":{},\"769\":{},\"890\":{}},\"comment\":{}}],[\"tinyyolov2config\",{\"_index\":346,\"name\":{\"930\":{}},\"comment\":{}}],[\"tinyyolov2netparams\",{\"_index\":368,\"name\":{\"970\":{}},\"comment\":{}}],[\"tinyyolov2options\",{\"_index\":344,\"name\":{\"925\":{}},\"comment\":{}}],[\"tmediaelement\",{\"_index\":216,\"name\":{\"483\":{}},\"comment\":{}}],[\"tnetinput\",{\"_index\":219,\"name\":{\"486\":{}},\"comment\":{}}],[\"tnetinputarg\",{\"_index\":218,\"name\":{\"485\":{}},\"comment\":{}}],[\"tobatchtensor\",{\"_index\":213,\"name\":{\"480\":{}},\"comment\":{}}],[\"tojson\",{\"_index\":167,\"name\":{\"334\":{},\"756\":{}},\"comment\":{}}],[\"tonetinput\",{\"_index\":215,\"name\":{\"482\":{}},\"comment\":{}}],[\"top\",{\"_index\":99,\"name\":{\"140\":{},\"152\":{},\"189\":{},\"301\":{},\"374\":{},\"416\":{}},\"comment\":{}}],[\"top_left\",{\"_index\":29,\"name\":{\"47\":{}},\"comment\":{}}],[\"top_right\",{\"_index\":30,\"name\":{\"48\":{}},\"comment\":{}}],[\"topleft\",{\"_index\":110,\"name\":{\"156\":{},\"193\":{},\"305\":{},\"378\":{},\"420\":{}},\"comment\":{}}],[\"topright\",{\"_index\":111,\"name\":{\"157\":{},\"194\":{},\"306\":{},\"379\":{},\"421\":{}},\"comment\":{}}],[\"tosquare\",{\"_index\":115,\"name\":{\"162\":{},\"199\":{},\"311\":{},\"384\":{},\"426\":{}},\"comment\":{}}],[\"tostring\",{\"_index\":161,\"name\":{\"289\":{}},\"comment\":{}}],[\"tresolvednetinput\",{\"_index\":217,\"name\":{\"484\":{}},\"comment\":{}}],[\"truediv\",{\"_index\":353,\"name\":{\"943\":{}},\"comment\":{}}],[\"utils\",{\"_index\":46,\"name\":{\"75\":{}},\"comment\":{}}],[\"validateconfig\",{\"_index\":345,\"name\":{\"929\":{}},\"comment\":{}}],[\"variable\",{\"_index\":80,\"name\":{\"112\":{},\"534\":{},\"576\":{},\"607\":{},\"638\":{},\"661\":{},\"813\":{},\"836\":{},\"875\":{},\"913\":{},\"983\":{}},\"comment\":{}}],[\"version\",{\"_index\":0,\"name\":{\"0\":{}},\"comment\":{}}],[\"w\",{\"_index\":127,\"name\":{\"177\":{},\"214\":{},\"326\":{},\"399\":{},\"441\":{}},\"comment\":{}}],[\"width\",{\"_index\":107,\"name\":{\"149\":{},\"186\":{},\"218\":{},\"222\":{},\"298\":{},\"371\":{},\"405\":{},\"413\":{},\"464\":{}},\"comment\":{}}],[\"withage\",{\"_index\":266,\"name\":{\"683\":{}},\"comment\":{}}],[\"withageandgender\",{\"_index\":278,\"name\":{\"702\":{},\"708\":{},\"721\":{},\"728\":{},\"738\":{},\"745\":{}},\"comment\":{}}],[\"withclassscores\",{\"_index\":333,\"name\":{\"859\":{},\"897\":{},\"937\":{}},\"comment\":{}}],[\"withfacedescriptor\",{\"_index\":254,\"name\":{\"671\":{},\"746\":{}},\"comment\":{}}],[\"withfacedescriptors\",{\"_index\":287,\"name\":{\"739\":{}},\"comment\":{}}],[\"withfacedetection\",{\"_index\":257,\"name\":{\"674\":{}},\"comment\":{}}],[\"withfaceexpressions\",{\"_index\":260,\"name\":{\"677\":{},\"701\":{},\"707\":{},\"720\":{},\"727\":{},\"737\":{},\"744\":{}},\"comment\":{}}],[\"withfacelandmarks\",{\"_index\":263,\"name\":{\"680\":{},\"719\":{},\"726\":{}},\"comment\":{}}],[\"withgender\",{\"_index\":269,\"name\":{\"686\":{}},\"comment\":{}}],[\"withseparableconvs\",{\"_index\":342,\"name\":{\"893\":{},\"932\":{}},\"comment\":{}}],[\"x\",{\"_index\":105,\"name\":{\"147\":{},\"175\":{},\"184\":{},\"212\":{},\"296\":{},\"324\":{},\"347\":{},\"351\":{},\"369\":{},\"397\":{},\"403\":{},\"411\":{},\"439\":{}},\"comment\":{}}],[\"y\",{\"_index\":106,\"name\":{\"148\":{},\"173\":{},\"185\":{},\"210\":{},\"297\":{},\"322\":{},\"348\":{},\"352\":{},\"370\":{},\"395\":{},\"404\":{},\"412\":{},\"437\":{}},\"comment\":{}}]],\"pipeline\":[]}}"); \ No newline at end of file diff --git a/typedoc/types/FileSystem.html b/typedoc/types/FileSystem.html index 1398a42..f4abb66 100644 --- a/typedoc/types/FileSystem.html +++ b/typedoc/types/FileSystem.html @@ -23,8 +23,8 @@
readFile: ((filePath: string) => Promise<any>)
  • -
      -
    • (filePath: string): Promise<any>
      • +